diff --git a/.claude/agents/dbt-analyst.md b/.claude/agents/dbt-analyst.md new file mode 100644 index 00000000..88762ea1 --- /dev/null +++ b/.claude/agents/dbt-analyst.md @@ -0,0 +1,70 @@ +--- +name: dbt-analyst +description: dbt model reviewer and analyst for the OST Linker project. Use proactively when creating, modifying, or debugging dbt models, sources, tests, or macros. Also use when dbt build/test/run fails. +tools: Read, Grep, Glob, Bash +model: sonnet +memory: project +maxTurns: 20 +--- + +You are an expert dbt analyst for the OST Linker project. + +## Project context + +dbt project lives in `dbt/`. Profiles: `local` (port 5433) and `docker` (port 5432). Set `DBT_TARGET` to switch. + +### Model organization + +| Layer | Directory | Naming | Schema | +|-------|-----------|--------|--------| +| Staging | `models/staging/` | `stg___` (double underscore) | `github` or `public` | +| Intermediate | `models/intermediate/` | `int__` | `github` or `public` | +| Marts | `models/marts/` | `fct_`, `match_` | `public` | + +### Sources (defined in `models/sources.yml`) + +| Source | Schema | Key tables | +|--------|--------|------------| +| `github_raw` | `github` | `RawGithubProject`, `RawGithubReadme`, `RawGithubLanguages`, `RawGithubTopics`, `IntGithubDetection` | +| `public` | `public` | `User`, `Project`, `Category`, `Domain`, `TechStack`, user junction tables | +| `ml` | `ml` | `EmbdGithubProject`, `EmbdUser` | + +### Dagster group mapping (from `dbt_project.yml`) + +- `stg_github__*`, `int_project_enriched`, `fct_github_project` -> `ingestion` +- `stg_public__*`, `int_user_enriched`, `int_project_contextualized`, `int_project_embedding_candidate`, `fct_public_user` -> `ml_preparation` +- `match_*` -> `matching` + +### Known issues to check for + +- `stg_public__project.sql:53` joins `Project.id::uuid` with github `project_id` — these may be different UUID namespaces, verify the sync asset preserves IDs +- `match_user_recommendation.sql` `user_totals` CTE has cross-join row explosion (correct with DISTINCT but O(n^3)) +- `freshness_score` not clamped to upper bound 1.0 — future `pushed_at` breaks `valid_hybrid_score_bounds` test +- No `relationships` tests on any foreign keys +- No source freshness configured (`loaded_at_field` / `freshness`) +- `profiles.yml` has hardcoded default password `'postgres'` (violates project convention) +- All models materialized as `table` — intermediates could be `view` + +## Review checklist + +When reviewing or creating dbt models: + +1. **Naming** — verify `stg_`/`int_`/`fct_`/`match_` prefix matches the layer +2. **Double underscore** — staging models use `stg_source__entity` (not single underscore) +3. **Schema tests** — every model YAML must have `unique` and `not_null` on primary keys +4. **Relationships** — FK columns should have `relationships` tests +5. **Materialization** — marts as `table`, intermediates as `view` unless performance requires `table` +6. **Source freshness** — sources should declare `loaded_at_field` +7. **ref() usage** — never hardcode table names, always use `{{ ref() }}` or `{{ source() }}` +8. **Score bounds** — any computed score must be clamped with `greatest(0, least(1.0, ...))` +9. **Join safety** — verify UUID namespaces match across schemas before joining +10. **No secrets** — profiles must not have hardcoded passwords as defaults + +When debugging: + +1. Run `dbt compile` to check SQL generation +2. Check `dbt_project.yml` for schema/group mapping +3. Verify source tables exist and match Prisma schema +4. Check for circular dependencies with `dbt ls --select +model_name+` + +Update your agent memory with model patterns, common pitfalls, and conventions you discover. diff --git a/.claude/agents/go-service-reviewer.md b/.claude/agents/go-service-reviewer.md new file mode 100644 index 00000000..a5587666 --- /dev/null +++ b/.claude/agents/go-service-reviewer.md @@ -0,0 +1,75 @@ +--- +name: go-service-reviewer +description: Go code reviewer for the OST Linker scraper and fetcher services. Use proactively when creating or modifying Go code in src/services/go/. Also use when Go builds fail or GitHub API interactions have issues. +tools: Read, Grep, Glob, Bash +model: sonnet +memory: project +maxTurns: 20 +--- + +You are an expert Go reviewer specialized in the OST Linker GitHub scraper and fetcher services. + +## Project context + +Two independent Go binaries in `src/services/go/`, each with its own `go.mod`: + +### Scraper (`src/services/go/scraper/`) +- Scrapes GitHub Search API +- Writes to `github.RawGithubProject` +- Invoked by Dagster asset `raw_github__extract_projects` via `subprocess.run()` +- Uses pgx for PostgreSQL, concurrent goroutines per query +- Has 8-minute context timeout + +### Fetcher (`src/services/go/fetcher/`) +- Fetches per-repo details: README, languages, topics +- Writes to `github.RawGithubReadme`, `RawGithubLanguages`, `RawGithubTopics` +- Invoked by 3 separate Dagster assets via `subprocess.run()` +- Uses pgx for PostgreSQL, worker pool with `rateLimiter` +- **Missing top-level context timeout** (`context.Background()` with no deadline) + +### Known issues + +1. **Race condition** — `fetcher/common.go:29-38` `rateLimiter.wait()` unlocks mutex, sleeps, re-locks. Between unlock and re-lock, other goroutines can pass the rate limit check simultaneously. This causes 403 bursts from GitHub. +2. **No context timeout** — `fetcher/main.go:50` uses `context.Background()` without deadline. Process can hang indefinitely. +3. **SQL injection risk** — `fetcher/common.go:97-104` `getNewProjects()` uses `fmt.Sprintf` to interpolate table name. Currently safe (hardcoded callers) but latent risk. +4. **dbCancel not deferred** — `scraper/main.go:105-117` `dbCancel()` called manually instead of `defer`. Context leaks on panic. `br.Close()` error is ignored. +5. **Inflated count** — `fetcher/fetch_readme.go:141` counts all batch items including empty content that gets skipped in `flushBatch`. +6. **Partial body returned** — `fetcher/common.go:206-210` returns both partial body and readErr on status 200. +7. **No body size limit** — `io.ReadAll` without `io.LimitReader` on README responses. +8. **No proactive rate limiting in scraper** — all search queries run as concurrent goroutines sharing one `http.Client` with no rate limiter. Only reacts to 403 responses. + +## Review checklist + +When reviewing Go code: + +### Error handling +- Every error is checked, not silently discarded +- `defer` used for cleanup (cancel, close, unlock) +- Errors wrapped with context: `fmt.Errorf("fetch readme for %s: %w", url, err)` +- `br.Close()` errors are checked after batch operations + +### Concurrency +- Mutex usage is correct (no unlock-sleep-relock patterns) +- Context propagation: all operations accept and respect `ctx` +- Worker pools have bounded concurrency +- Rate limiters actually serialize access under contention + +### GitHub API +- Rate limit headers (`X-RateLimit-Remaining`, `X-RateLimit-Reset`) are parsed and respected proactively +- Retry logic handles 403 (rate limit), 404 (not found), 5xx (server error) differently +- Search API limit: 30 req/min authenticated, 10 unauthenticated +- REST API limit: 5000 req/hour authenticated + +### Database +- No SQL injection via string interpolation — use parameterized queries or allowlists +- Batch operations use `pgx.Batch` correctly +- Context timeouts on all DB operations +- Connection pools are closed on shutdown + +### Resource management +- `resp.Body.Close()` after every HTTP response +- `io.LimitReader` on untrusted response bodies +- Top-level context has a timeout +- Subprocess invocations from Dagster have `timeout` parameter + +Update your agent memory with Go patterns, GitHub API quirks, and fixes you discover. diff --git a/.claude/agents/pipeline-doctor.md b/.claude/agents/pipeline-doctor.md new file mode 100644 index 00000000..fd4f9167 --- /dev/null +++ b/.claude/agents/pipeline-doctor.md @@ -0,0 +1,72 @@ +--- +name: pipeline-doctor +description: Dagster pipeline debugging and diagnostic specialist. Use proactively when an asset fails, a run crashes, a sensor or schedule misfires, or when investigating pipeline issues. Also use when modifying assets, jobs, schedules, sensors, or resources. +tools: Read, Edit, Bash, Grep, Glob +model: opus +memory: project +maxTurns: 30 +--- + +You are an expert Dagster pipeline debugger for the OST Linker project. + +## Project context + +OST Linker is a Dagster-orchestrated pipeline that scrapes GitHub projects (Go binaries), classifies them via LLM, computes embeddings (SentenceTransformer), and surfaces recommendations via cosine similarity (pgvector). + +Entry point: `src/linker/definitions.py` + +### Asset groups + +| Group | Assets | Description | +|-------|--------|-------------| +| `ingestion` | `raw_github__extract_projects`, 3 fetcher assets, `core_github__detect_languages` | Go binaries + language detection | +| `classification` | `core_match__classify_projects` | LLM classification via OpenRouter | +| `ml` | `core_ml__embed_projects`, `core_ml__embed_users` | SentenceTransformer 384-dim embeddings | +| `sync` | `core_public__sync_projects` | Upsert into public.Project | +| `dbt_models` | all dbt models | dagster-dbt integration | + +### Resources + +| Resource | Key | Notes | +|----------|-----|-------| +| `PipelineConfig` | `"config"` | All env vars, injected everywhere | +| `LLMClassifierResource` | `"llm_classifier"` | OpenRouter API, mistral-small | +| `SentenceTransformerResource` | `"sentence_transformer"` | all-MiniLM-L6-v2, CPU | +| `FastTextModelResource` | `"fasttext_model"` | lid.176.ftz for language detection | +| `PandasPostgresIOManager` | `"io_manager"` | DataFrame <-> Postgres via SQLAlchemy | + +### Known issues to check for + +- `get_db_cursor(commit=)` param is ignored — `get_db_connection()` always auto-commits +- IO manager uses `to_sql(if_exists="replace")` which drops and recreates tables +- IO manager has SQL injection risk via f-string table name interpolation +- LLM classifier returns `{"error": ...}` dicts instead of raising exceptions +- LLM classifier creates a new OpenAI client per call instead of singleton +- Fetcher assets have no `timeout` on `subprocess.run()` +- `core_github__detect_languages` returns success Output even if DB insert fails +- `core_ml__embed_projects` creates `SQLAlchemy.create_engine()` per run without dispose +- `core_public__sync_projects` inner raise is caught by outer except and swallowed + +### DB schemas + +- `public` — user-facing (User, Project, Category, Domain, TechStack) +- `github` — raw scraped data (RawGithubProject, RawGithubReadme, etc.) +- `ml` — embeddings (EmbdGithubProject, EmbdUser) with pgvector +- `match` — dbt-materialized recommendations + +## Debugging workflow + +When invoked: + +1. Identify the failing asset or run from error messages / logs +2. Read the asset source code and its upstream dependencies +3. Check resource wiring in `definitions.py` +4. Trace data flow: which tables are read/written, which IO manager is used +5. Check for the known issues listed above +6. Look for: missing context metadata, silent exception swallowing, DB connection leaks +7. Propose a minimal, targeted fix +8. Verify the fix doesn't break downstream assets + +Always check `dagster_home/` logs if available. Use `dagster dev` output for local debugging. + +Update your agent memory with pipeline failure patterns, root causes, and fixes you discover. diff --git a/.claude/agents/security-auditor.md b/.claude/agents/security-auditor.md new file mode 100644 index 00000000..637a10c7 --- /dev/null +++ b/.claude/agents/security-auditor.md @@ -0,0 +1,88 @@ +--- +name: security-auditor +description: Security auditor for the OST Linker project. Use proactively before creating PRs, when modifying code that touches the database, subprocess calls, environment variables, Docker configuration, or CI/CD workflows. Also use when reviewing external contributions. +tools: Read, Grep, Glob, Bash +model: opus +maxTurns: 25 +--- + +You are a security auditor specialized in the OST Linker codebase. + +## Project context + +OST Linker is a data pipeline (Dagster + dbt + Go) that scrapes GitHub, classifies projects via LLM, and serves recommendations. It handles GitHub API tokens, database credentials, and LLM API keys. + +### Attack surface + +| Component | Risk | Files | +|-----------|------|-------| +| IO Manager | SQL injection via f-string | `src/linker/resources/io_manager.py` | +| Go fetcher | SQL injection via `fmt.Sprintf` table name | `src/services/go/fetcher/common.go` | +| Subprocess calls | Command injection if args not sanitized | `src/linker/assets/scraper/`, `src/linker/assets/fetcher/` | +| DB connections | Credential leak in logs | `src/services/python/db.py`, `scripts/check_db.py` | +| Docker | Secret bake-in, exposed ports | `Dockerfile`, `docker-compose.yml` | +| CI/CD | Secret exposure, force pushes | `.github/workflows/` | +| Profiles | Hardcoded passwords | `dbt/profiles.yml` | +| Go HTTP | Unbounded `io.ReadAll` (OOM) | `src/services/go/fetcher/` | + +### Known vulnerabilities (from last review) + +1. **SQL injection** — `io_manager.py:39-44` uses `f"SELECT * FROM {full_table_name}"` from asset key path +2. **SQL injection (Go)** — `fetcher/common.go:97-104` uses `fmt.Sprintf` for table name in query +3. **Credential leak** — `scripts/check_db.py:9` prints full `DATABASE_URL` including password +4. **Hardcoded secrets** — `dbt/profiles.yml:8-9` has default password `'postgres'` +5. **Hardcoded paths** — `scripts/go_binary_gen.sh`, `scripts/clean_dagster.sh` have developer-specific absolute paths +6. **Force push** — `sync-docs-submodule.yml:39` and `sync-prisma-backend.yml:56` use `git push --force` +7. **No body size limit** — Go fetcher uses `io.ReadAll` without `io.LimitReader` +8. **Version mismatch** — `pyproject.toml` targets Python 3.13 for ruff/mypy but runtime is 3.11 + +## Audit workflow + +When invoked: + +1. Identify what changed (run `git diff` or check specified files) +2. Scan for each category below +3. Report findings with severity (CRITICAL / HIGH / MEDIUM / LOW) +4. Propose specific fixes for CRITICAL and HIGH + +### Scan categories + +**Injection** +- SQL: f-strings, string concatenation, `fmt.Sprintf` in queries +- Command: unsanitized args to `subprocess.run()`, `os.system()`, `exec.Command()` +- Template: Jinja injection in dbt macros + +**Secrets** +- Hardcoded passwords, API keys, tokens in code, config, or Docker +- Credentials logged to stdout/stderr +- `.env` files or secrets committed to git +- Default values for sensitive env vars + +**Docker & CI** +- Secrets baked into image layers +- Containers running as root +- Exposed ports without need +- Missing `.dockerignore` entries +- Force pushes in CI workflows +- Missing git author config in CI commits +- Secrets accessible to fork PRs + +**Dependencies** +- Known CVEs (run `pip-audit` if available) +- Unpinned versions in production +- Dev dependencies in production image + +**Data safety** +- Unbounded reads (`io.ReadAll` without limits) +- Missing timeouts on network calls or subprocess +- Race conditions in concurrent code +- Connection/resource leaks + +Output format for each finding: + +``` +## [SEVERITY] Title +**File:** path:line +**Issue:** description +**Fix:** concrete code change +``` diff --git a/.claude/rules/architecture.md b/.claude/rules/architecture.md new file mode 100644 index 00000000..897855fc --- /dev/null +++ b/.claude/rules/architecture.md @@ -0,0 +1,60 @@ +# Architecture + +## Multi-layer Pipeline (Dagster orchestrates everything) + +The pipeline entry point is `src/linker/definitions.py`, which wires all assets, resources, jobs, schedules, and sensors into a single Dagster `Definitions` object. Dagster module is configured in `pyproject.toml` under `[tool.dagster]`. + +**Data flow:** +``` +GitHub API (Go scraper) + -> raw DB tables (github schema) + -> dbt staging/int/pivot models (github schema) + -> LLM classification (classification group) + -> dbt match models (public schema) + -> Embedding computation (ml schema) + -> cosine similarity recommendations (match schema) + -> public sync (public.Project) +``` + +## Resources (`src/linker/resources/`) + +| Resource | Purpose | +|---|---| +| `config_resource` (`PipelineConfig`) | Reads all env vars; injected as `"config"` | +| `LLMClassifierResource` | OpenRouter API (OpenAI-compatible) — uses `mistralai/mistral-small-3.2-24b-instruct` | +| `SentenceTransformerResource` | `all-MiniLM-L6-v2` for 384-dim embeddings; device defaults to `"cpu"` | +| `FastTextModelResource` | Language detection from `models/lid.176.ftz` | +| `PandasPostgresIOManager` | Custom IO manager passing DataFrames between assets via Postgres | + +## Go Services (`src/services/go/`) + +Two independent binaries, each with its own `go.mod`: +- `scraper/` — scrapes GitHub Search API, writes to `github.RawGithubProject` +- `fetcher/` — fetches per-repo details (README, languages, topics), writes to raw tables + +Both are invoked as subprocesses by Dagster assets via `subprocess.run()`. + +## Docker Build + +3-stage Dockerfile: +1. **Go Builder** (`golang:1.24-alpine`) — compiles both Go binaries to `/app/bin/` +2. **Python Builder** (`python:3.11-slim`) — exports deps via uv to `requirements.txt` +3. **Runtime** (`python:3.11-slim`) — installs deps, copies Go binaries to `/usr/local/bin/`, runs Dagster + +`docker-compose.yml` runs two services: `ost-linker` (app) and `db` (PostgreSQL with pgvector via `ankane/pgvector:v0.4.1`). DB is exposed on port 5433 by default. + +## Database Schema + +Managed by **Prisma** (`prisma/schema.prisma`) with 4 PostgreSQL schemas: +- `public` — user-facing models: `User`, `Project`, `Category`, `Domain`, `TechStack`, etc. +- `github` — raw scraped data: `RawGithubProject`, `RawGithubReadme`, `RawGithubLanguages`, `RawGithubTopics`, `IntGithubDetection` +- `ml` — ML artifacts: `EmbdGithubProject` (pgvector), `EmbdUser` (pgvector) +- `match` — computed recommendations (dbt materialized tables) + +The `pgvector` extension enables cosine similarity search. The vector dimension is 384 (MiniLM-L6-v2). + +Seed data lives in `prisma/seed/` (categories, domains, techstacks). + +## Python Services (`src/services/python/`) + +- `db.py` — shared DB cursor context manager (`get_db_cursor`) used by assets diff --git a/.claude/rules/dagster.md b/.claude/rules/dagster.md new file mode 100644 index 00000000..abc3bb8d --- /dev/null +++ b/.claude/rules/dagster.md @@ -0,0 +1,39 @@ +# Dagster + +## Asset Groups (`src/linker/`) + +| Group | Asset(s) | Description | +|---|---|---| +| `ingestion` | `raw_github__extract_projects` + 4 fetcher assets | Go binaries write raw data; Python fetchers enrich it | +| `classification` | `core_match__classify_projects` | LLM via OpenRouter classifies projects into Category + Domain | +| `ml` | `core_ml__embed_projects`, `core_ml__embed_users` | SentenceTransformer embeds projects & users | +| `sync` | `core_public__sync_projects` | Syncs enriched data into public-facing `Project` table | +| `dbt_models` | all dbt models | Runs `dbt build` via `dagster-dbt` | + +## Jobs + +- `run_all_job` — runs all assets (scheduled 5x daily Europe/Paris) +- `project_scraper_job` — ingestion only +- `project_classification_job` — triggered by sensor after scraper succeeds +- `project_embedding_job` — ML embedding +- `cleanup_dagster_history_job` — housekeeping + +## Sensor + +`classification_sensor` triggers `project_classification_job` on scraper success. + +## Asset Naming Convention + +**Python Dagster assets** follow a `___` pattern: +- `raw_github__*` — raw ingestion +- `core_github__*` — enriched GitHub data +- `core_match__*` — matching/classification +- `core_ml__*` — ML/embedding assets +- `core_public__*` — public-facing sync + +**dbt models** follow a flat layer-first layout (`models/staging/`, `models/intermediate/`, `models/marts/`): +- Staging: `stg___` (double underscore) +- Intermediate: `int__` +- Marts: `fct_`, `dim_`, or `` + +dbt models in Dagster use their schema + model name as `AssetKey`, e.g., `AssetKey(["github", "stg_github__project"])`. diff --git a/.claude/rules/dbt.md b/.claude/rules/dbt.md new file mode 100644 index 00000000..398a0d29 --- /dev/null +++ b/.claude/rules/dbt.md @@ -0,0 +1,19 @@ +# dbt Layer (`dbt/`) + +## Model Organization + +Models are organized under `models/` by layer (flat structure): +- `staging/` — source-cleaning models (`stg_github__*`, `stg_public__*`) +- `intermediate/` — enrichment and transformation (`int_project_enriched`, `int_user_enriched`, `int_project_contextualized`, `int_project_embedding_candidate`) +- `marts/` — final consumption models (`fct_github_project`, `fct_public_user`, `match_global_recommendation`, `match_user_recommendation`) + +## Profiles + +dbt profiles: `local` (default, port 5433) and `docker` (port 5432, host `db`). Set `DBT_TARGET` env var to switch. + +## Dagster Group Mapping + +dbt models are assigned to Dagster groups via `+meta.dagster.group` in `dbt_project.yml`: +- `stg_github__*`, `int_project_enriched`, `fct_github_project` -> `ingestion` +- `stg_public__*`, `int_user_enriched`, `int_project_contextualized`, `int_project_embedding_candidate`, `fct_public_user` -> `ml_preparation` +- `match_*` -> `matching` diff --git a/.dockerignore b/.dockerignore index e2616ec8..44838a44 100644 --- a/.dockerignore +++ b/.dockerignore @@ -1,8 +1,70 @@ -.git/ -.github/ -docs/ -.env* +# ============================================================================== +# STRICT WHITELIST STRATEGY +# 1. Ignore EVERYTHING by default +# ============================================================================== +* -github-scraper -gitlab-scraper +# ============================================================================== +# 2. Allow specific source directories (and their contents) +# ============================================================================== +!src/ +!dbt/ +!prisma/ +!scripts/ +!models/ + +# ============================================================================== +# 3. Allow specific configuration files +# ============================================================================== +!pyproject.toml +!uv.lock +!Dockerfile +!docker-compose.yml +!.env.example +!dagster.yaml +!dagster.prod.yaml +!workspace.yaml +!README.md +!LICENSE + +# ============================================================================== +# 4. Filter out junk from the allowed directories +# (Rules here override the !includes above because they come later) +# ============================================================================== +# Python/Bytecode +**/__pycache__ +**/*.pyc +**/*.pyo +**/*.pyd + +# Mac +**/.DS_Store + +# Logs/Tmp +**/logs +**/tmp +**/.cache +**/.pytest_cache +**/.mypy_cache +**/.ruff_cache + +# Node +**/node_modules + +# DBT +**/dbt_packages +**/target + +# Compiled Go binaries (built inside Docker) +src/services/go/**/github-scraper +src/services/go/**/ost-fetcher +src/services/go/**/ost-scraper + +# dbt user config +dbt/.user.yml + +# Git (redundant with * but safe) +.git +.gitignore +.github diff --git a/.env.example b/.env.example index b6f70f4b..f109bf4b 100644 --- a/.env.example +++ b/.env.example @@ -1,35 +1,58 @@ # ================================================ -# OST AI ENGINE - Environment (example) -# Copy and adapt for your environment. Keep secrets out of VCS. +# OST Linker — Environment Configuration +# Copy this file to .env and fill in the values. +# By @spideystreet # ================================================ -# ───────────────────────────────────────────────────────── # - -DAGSTER_HOME="/app/.dagster_home" -DAGSTER_STORAGE_DIR="/app/.dagster_home/history" -DAGSTER_LOGS_DIR="/app/.dagster_home/logs" - -# ───────────────────────────────────────────────────────── # -# Paths inside the container -HOME="/app" -XDG_CACHE_HOME="/app/.cache" -PRISMA_BINARY_CACHE_DIR="/app/.cache/prisma" - -# ───────────────────────────────────────────────────────── # -# Project layout -PROJECT_ROOT="/app" -CFG_PATH="/app/config/cfg.py" -OST_CONFIG_PATH="/app/config/cfg.yaml" - -# ───────────────────────────────────────────────────────── # -# API tokens (replace with real tokens in your local .docker.env) -# Keep these secret and never commit to git -GITHUB_ACCESS_TOKEN="" -GITLAB_ACCESS_TOKEN="" - -# ───────────────────────────────────────────────────────── # -# Database used by docker-compose (service name 'postgres' / container 'ost-db') -# When connecting from host use localhost:7777 (mapped port) -DATABASE_URL="postgresql://postgres:postgres@ost-db:5432/ost_dev?schema=public" -POSTGRES_PASSWORD="postgres" -POSTGRES_USER="postgres" -POSTGRES_DB="ost_dev" \ No newline at end of file + +# --- Database --- +# Used by the Docker postgres container and all services. +POSTGRES_USER="" +POSTGRES_PASSWORD="" +POSTGRES_DB="" +POSTGRES_PORT="" + +# Full connection string — must match POSTGRES_* values above. +DATABASE_URL="postgresql://:@:/" + +# --- Dagster --- +# Must be an absolute path. Dagster looks for dagster.yaml inside this directory. +# Local: DAGSTER_HOME="/absolute/path/to/ost-linker/dagster_home" +# Docker: DAGSTER_HOME="/app/dagster_home" +DAGSTER_HOME="/app/dagster_home" +# Subdirectories used by dagster.yaml — override only if you change DAGSTER_HOME +# DAGSTER_STORAGE_DIR="${DAGSTER_HOME}/storage" +# DAGSTER_LOGS_DIR="${DAGSTER_HOME}/logs" + +# --- GitHub --- +# Fine-grained personal access token with read access on public repos. +GITHUB_ACCESS_TOKEN="" + +# Optional: override the GitHub Search API endpoint (default shown). +# GITHUB_API_URL="https://api.github.com/search/repositories" + +# Optional: override scraping queries. Two modes (leave both empty to use built-in star ranges): +# Single query — set GITHUB_SCRAPING_QUERY to a raw GitHub search string. +# Multi-query — set GITHUB_SCRAPING_QUERIES to a JSON array of query strings (takes precedence). +# GITHUB_SCRAPING_QUERY= +# GITHUB_SCRAPING_QUERIES='["stars:300..1000 ...", "stars:1000..3000 ..."]' + +# --- Go Binaries --- +# Paths to the compiled binaries. +# Compile with: scripts/go_binary_gen.sh +GO_SCRAPER_PATH="/path/to/ost-linker/src/services/go/scraper/github-scraper" +GO_FETCHER_PATH="/path/to/ost-linker/src/services/go/fetcher/ost-fetcher" + +# --- ML Models --- +# Path to FastText language-detection model (lid.176.ftz). +# Download: https://fasttext.cc/docs/en/language-identification.html +FASTTEXT_MODEL_PATH="models/lid.176.ftz" + +# --- LLM Classifier --- +# OpenRouter API key — used by LLMClassifierResource (Mistral Small). +OPENROUTER_API_KEY="" + +# --- dbt --- +# Target profile: "local" (port 5433, default) or "docker" (port 5432, host "db"). +# Set to "docker" when running inside a container. +# DBT_TARGET=local +# DBT_PROJECT_DIR=/app/dbt diff --git a/.github/CODEOWNERS b/.github/CODEOWNERS new file mode 100644 index 00000000..67855a4c --- /dev/null +++ b/.github/CODEOWNERS @@ -0,0 +1 @@ +* @spideystreet diff --git a/.github/ISSUE_TEMPLATE/bug_report.yml b/.github/ISSUE_TEMPLATE/bug_report.yml new file mode 100644 index 00000000..4fb6a507 --- /dev/null +++ b/.github/ISSUE_TEMPLATE/bug_report.yml @@ -0,0 +1,66 @@ +name: Bug Report +description: Report a bug or unexpected behavior +labels: ["bug"] +body: + - type: markdown + attributes: + value: | + Thanks for taking the time to report a bug! Please fill out the sections below. + + - type: textarea + id: description + attributes: + label: Description + description: A clear and concise description of the bug. + validations: + required: true + + - type: textarea + id: steps + attributes: + label: Steps to Reproduce + description: How can we reproduce this issue? + placeholder: | + 1. Run `make dev` + 2. Navigate to ... + 3. See error + validations: + required: true + + - type: textarea + id: expected + attributes: + label: Expected Behavior + description: What did you expect to happen? + validations: + required: true + + - type: textarea + id: actual + attributes: + label: Actual Behavior + description: What actually happened? + validations: + required: true + + - type: textarea + id: environment + attributes: + label: Environment + description: Any relevant environment details. + placeholder: | + - OS: Ubuntu 22.04 / macOS 14 / Windows 11 (WSL2) + - Python: 3.11 + - Docker: 24.x + - Go: 1.24 + validations: + required: false + + - type: textarea + id: logs + attributes: + label: Logs / Error Output + description: Paste any relevant log output or stack traces. + render: shell + validations: + required: false diff --git a/.github/ISSUE_TEMPLATE/config.yml b/.github/ISSUE_TEMPLATE/config.yml new file mode 100644 index 00000000..69a74c46 --- /dev/null +++ b/.github/ISSUE_TEMPLATE/config.yml @@ -0,0 +1,5 @@ +blank_issues_enabled: false +contact_links: + - name: Contributing Guide + url: https://github.com/opensource-together/ost-linker/blob/staging/CONTRIBUTING.md + about: Read our contributing guide before opening an issue diff --git a/.github/ISSUE_TEMPLATE/feature_request.yml b/.github/ISSUE_TEMPLATE/feature_request.yml new file mode 100644 index 00000000..20d36f01 --- /dev/null +++ b/.github/ISSUE_TEMPLATE/feature_request.yml @@ -0,0 +1,40 @@ +name: Feature Request +description: Suggest a new feature or improvement +labels: ["enhancement"] +body: + - type: markdown + attributes: + value: | + Thanks for suggesting a feature! Please fill out the sections below. + + - type: textarea + id: summary + attributes: + label: Summary + description: A brief description of the feature. + validations: + required: true + + - type: textarea + id: motivation + attributes: + label: Motivation / Use Case + description: Why is this feature needed? What problem does it solve? + validations: + required: true + + - type: textarea + id: solution + attributes: + label: Proposed Solution + description: How would you like this to work? + validations: + required: false + + - type: textarea + id: alternatives + attributes: + label: Alternatives Considered + description: Any alternative solutions or features you've considered. + validations: + required: false diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md new file mode 100644 index 00000000..37a5809b --- /dev/null +++ b/.github/pull_request_template.md @@ -0,0 +1,16 @@ +## Summary + + + +## Changes + + + +- + +## Checklist + +- [ ] Tests pass (`make test`) +- [ ] Lint is clean (`make lint`) +- [ ] Commits are atomic and follow [Conventional Commits](https://www.conventionalcommits.org/) +- [ ] PR targets `staging` (not `main`) diff --git a/.github/workflows/claude-code-review.yml b/.github/workflows/claude-code-review.yml new file mode 100644 index 00000000..b5e8cfd4 --- /dev/null +++ b/.github/workflows/claude-code-review.yml @@ -0,0 +1,44 @@ +name: Claude Code Review + +on: + pull_request: + types: [opened, synchronize, ready_for_review, reopened] + # Optional: Only run on specific file changes + # paths: + # - "src/**/*.ts" + # - "src/**/*.tsx" + # - "src/**/*.js" + # - "src/**/*.jsx" + +jobs: + claude-review: + # Optional: Filter by PR author + # if: | + # github.event.pull_request.user.login == 'external-contributor' || + # github.event.pull_request.user.login == 'new-developer' || + # github.event.pull_request.author_association == 'FIRST_TIME_CONTRIBUTOR' + + runs-on: ubuntu-latest + permissions: + contents: read + pull-requests: read + issues: read + id-token: write + + steps: + - name: Checkout repository + uses: actions/checkout@v4 + with: + fetch-depth: 1 + + - name: Run Claude Code Review + id: claude-review + uses: anthropics/claude-code-action@v1 + with: + claude_code_oauth_token: ${{ secrets.CLAUDE_CODE_OAUTH_TOKEN }} + plugin_marketplaces: 'https://github.com/anthropics/claude-code.git' + plugins: 'code-review@claude-code-plugins' + prompt: '/code-review:code-review ${{ github.repository }}/pull/${{ github.event.pull_request.number }}' + # See https://github.com/anthropics/claude-code-action/blob/main/docs/usage.md + # or https://code.claude.com/docs/en/cli-reference for available options + diff --git a/.github/workflows/claude.yml b/.github/workflows/claude.yml new file mode 100644 index 00000000..d300267f --- /dev/null +++ b/.github/workflows/claude.yml @@ -0,0 +1,50 @@ +name: Claude Code + +on: + issue_comment: + types: [created] + pull_request_review_comment: + types: [created] + issues: + types: [opened, assigned] + pull_request_review: + types: [submitted] + +jobs: + claude: + if: | + (github.event_name == 'issue_comment' && contains(github.event.comment.body, '@claude')) || + (github.event_name == 'pull_request_review_comment' && contains(github.event.comment.body, '@claude')) || + (github.event_name == 'pull_request_review' && contains(github.event.review.body, '@claude')) || + (github.event_name == 'issues' && (contains(github.event.issue.body, '@claude') || contains(github.event.issue.title, '@claude'))) + runs-on: ubuntu-latest + permissions: + contents: read + pull-requests: read + issues: read + id-token: write + actions: read # Required for Claude to read CI results on PRs + steps: + - name: Checkout repository + uses: actions/checkout@v4 + with: + fetch-depth: 1 + + - name: Run Claude Code + id: claude + uses: anthropics/claude-code-action@v1 + with: + claude_code_oauth_token: ${{ secrets.CLAUDE_CODE_OAUTH_TOKEN }} + + # This is an optional setting that allows Claude to read CI results on PRs + additional_permissions: | + actions: read + + # Optional: Give a custom prompt to Claude. If this is not specified, Claude will perform the instructions specified in the comment that tagged it. + # prompt: 'Update the pull request description to include a summary of changes.' + + # Optional: Add claude_args to customize behavior and configuration + # See https://github.com/anthropics/claude-code-action/blob/main/docs/usage.md + # or https://code.claude.com/docs/en/cli-reference for available options + # claude_args: '--allowed-tools Bash(gh pr:*)' + diff --git a/.github/workflows/deploy-docs.yml b/.github/workflows/deploy-docs.yml deleted file mode 100644 index bd6d71be..00000000 --- a/.github/workflows/deploy-docs.yml +++ /dev/null @@ -1,58 +0,0 @@ -name: spideyai-X/up-ost-ai-docs - -on: - push: - paths: - - 'docs/ai/**' - -jobs: - pr-docs: - runs-on: ubuntu-latest - steps: - - name: Checkout source repo - uses: actions/checkout@v3 - - - name: Clone target repo - run: | - git clone https://x-access-token:${{ secrets.OST_DOCS_TOKEN }}@github.com/opensource-together/ost-docs.git /tmp/ost-docs - - - name: Create branch - run: | - cd /tmp/ost-docs - git checkout -b auto-up-ai-docs || git checkout auto-up-ai-docs - - - name: Copy docs/ai/ to target repo - run: | - rm -rf /tmp/ost-docs/ai - cp -r docs/ai /tmp/ost-docs/ai - - - name: Commit changes - run: | - cd /tmp/ost-docs - git config user.name "spideyai-X" - git config user.email "${{ secrets.GIT_AUTHOR_EMAIL }}" - git add ai - git commit -m "docs: up Mintlify AI docs from ost-ai-engine" || echo "No changes to commit" - - - name: Pull latest branch changes - run: | - cd /tmp/ost-docs - git pull --rebase origin auto-up-ai-docs || true - - - name: Push branch (force) - run: | - cd /tmp/ost-docs - git push --force origin auto-up-ai-docs - - - name: Create PR - uses: peter-evans/create-pull-request@v6 - with: - token: ${{ secrets.OST_DOCS_TOKEN }} - repository: opensource-together/ost-docs - head: auto-up-ai-docs - base: main - title: "Up Mintlify docs from AI-Engine" - body: | - **Automated AI docs sync from your friend spidey** - - This PR brings the latest updates from the [ost-ai-engine](https://github.com/opensource-together/ost-ai-engine) repository. \ No newline at end of file diff --git a/.github/workflows/publish-develop.yml b/.github/workflows/publish-develop.yml index de319740..bc0c6de8 100644 --- a/.github/workflows/publish-develop.yml +++ b/.github/workflows/publish-develop.yml @@ -8,8 +8,15 @@ on: - staging jobs: - publish: + checks: + uses: ./.github/workflows/quality-checks.yml + secrets: + OST_DOCS_TOKEN: ${{ secrets.OST_DOCS_TOKEN }} + + build: runs-on: ubuntu-latest + needs: [checks] + if: github.event_name == 'push' permissions: contents: read packages: write diff --git a/.github/workflows/publish-prod.yml b/.github/workflows/publish-prod.yml index f2b46396..56bf1235 100644 --- a/.github/workflows/publish-prod.yml +++ b/.github/workflows/publish-prod.yml @@ -5,13 +5,18 @@ on: types: [published] jobs: + checks: + uses: ./.github/workflows/quality-checks.yml + secrets: + OST_DOCS_TOKEN: ${{ secrets.OST_DOCS_TOKEN }} + publish: runs-on: ubuntu-latest + needs: [checks] permissions: contents: read packages: write steps: - - name: Checkout uses: actions/checkout@v4 @@ -22,6 +27,9 @@ jobs: username: ${{ github.actor }} password: ${{ secrets.OST_RELEASE_PAT }} + - name: Set up Docker Buildx + uses: docker/setup-buildx-action@v3 + - name: Docker meta id: meta uses: docker/metadata-action@v5 @@ -39,3 +47,5 @@ jobs: push: true tags: ${{ steps.meta.outputs.tags }} labels: ${{ steps.meta.outputs.labels }} + cache-from: type=gha + cache-to: type=gha,mode=max diff --git a/.github/workflows/quality-checks.yml b/.github/workflows/quality-checks.yml new file mode 100644 index 00000000..cb80c5f7 --- /dev/null +++ b/.github/workflows/quality-checks.yml @@ -0,0 +1,174 @@ +name: Quality checks + +on: + workflow_call: + secrets: + OST_DOCS_TOKEN: + required: true + +jobs: + quality: + runs-on: ubuntu-latest + steps: + - name: Checkout + uses: actions/checkout@v4 + + - name: Install uv + uses: astral-sh/setup-uv@v5 + with: + enable-cache: true + + - name: Set up Python + uses: actions/setup-python@v5 + with: + python-version: "3.11" + + - name: Install dependencies + run: uv sync --frozen + + - name: Lint + run: uv run ruff check src/ + + - name: Format check + run: uv run ruff format --check src/ + + - name: Type check + run: uv run mypy src/ + + - name: Unit tests + run: uv run pytest -m unit --cov-fail-under=80 + + dbt-check: + runs-on: ubuntu-latest + steps: + - name: Checkout + uses: actions/checkout@v4 + + - name: Install uv + uses: astral-sh/setup-uv@v5 + with: + enable-cache: true + + - name: Set up Python + uses: actions/setup-python@v5 + with: + python-version: "3.11" + + - name: Install dependencies + run: uv sync --frozen + + - name: dbt parse + run: | + cd dbt + uv run dbt deps + uv run dbt parse + + go-check: + runs-on: ubuntu-latest + steps: + - name: Checkout + uses: actions/checkout@v4 + + - name: Set up Go + uses: actions/setup-go@v5 + with: + go-version: "1.24" + + - name: Vet and build scraper + run: | + cd src/services/go/scraper + go vet ./... + go build -o /dev/null . + + - name: Vet and build fetcher + run: | + cd src/services/go/fetcher + go vet ./... + go build -o /dev/null . + + docker-build: + runs-on: ubuntu-latest + steps: + - name: Checkout + uses: actions/checkout@v4 + + - name: Set up Docker Buildx + uses: docker/setup-buildx-action@v3 + + - name: Build image (no push) + uses: docker/build-push-action@v6 + with: + context: . + file: ./Dockerfile + push: false + cache-from: type=gha + cache-to: type=gha,mode=max + + prisma-validate: + runs-on: ubuntu-latest + steps: + - name: Checkout + uses: actions/checkout@v4 + + - name: Set up Node + uses: actions/setup-node@v4 + with: + node-version: "18" + + - name: Validate Prisma schema + run: npx prisma validate --schema prisma/schema.prisma + env: + DATABASE_URL: "postgresql://user:pass@localhost:5432/db" + + security: + runs-on: ubuntu-latest + steps: + - name: Checkout + uses: actions/checkout@v4 + with: + fetch-depth: 0 + + - name: Install uv + uses: astral-sh/setup-uv@v5 + with: + enable-cache: true + + - name: Set up Python + uses: actions/setup-python@v5 + with: + python-version: "3.11" + + - name: Install dependencies + run: uv sync --frozen + + - name: Dependency audit + run: uv run pip-audit + + - name: Install gitleaks + run: | + curl -sSL https://github.com/gitleaks/gitleaks/releases/download/v8.30.0/gitleaks_8.30.0_linux_x64.tar.gz | tar xz + sudo mv gitleaks /usr/local/bin/ + + - name: Secret leak scan + run: gitleaks detect --source . --no-git --verbose + + docs-submodule: + runs-on: ubuntu-latest + steps: + - name: Checkout with submodules + uses: actions/checkout@v4 + with: + submodules: true + token: ${{ secrets.OST_DOCS_TOKEN }} + + - name: Check docs submodule SHA exists on remote + run: | + SUBMODULE_SHA=$(git -C docs rev-parse HEAD) + echo "Submodule SHA: $SUBMODULE_SHA" + if git ls-remote https://x-access-token:${{ secrets.OST_DOCS_TOKEN }}@github.com/opensource-together/ost-docs.git | grep -q "$SUBMODULE_SHA"; then + echo "docs submodule SHA exists on ost-docs remote" + else + echo "::error::docs submodule points to $SUBMODULE_SHA which does not exist on ost-docs remote" + echo "Make sure your submodule commits are pushed to ost-docs" + exit 1 + fi diff --git a/.github/workflows/sync-docs-submodule.yml b/.github/workflows/sync-docs-submodule.yml new file mode 100644 index 00000000..5600fd76 --- /dev/null +++ b/.github/workflows/sync-docs-submodule.yml @@ -0,0 +1,67 @@ +name: Sync docs submodule to ost-docs + +on: + pull_request: + branches: [main, staging] + paths: + - docs + +jobs: + sync-docs: + runs-on: ubuntu-latest + steps: + - name: Checkout with submodules + uses: actions/checkout@v4 + with: + submodules: true + fetch-depth: 0 + token: ${{ secrets.OST_DOCS_TOKEN }} + + - name: Check if docs submodule changed + id: check + run: | + BASE_SHA=$(git merge-base origin/${{ github.base_ref }} HEAD) + DOCS_CHANGED=$(git diff --name-only "$BASE_SHA" HEAD -- docs) + if [ -z "$DOCS_CHANGED" ]; then + echo "changed=false" >> "$GITHUB_OUTPUT" + else + echo "changed=true" >> "$GITHUB_OUTPUT" + fi + + - name: Push submodule branch and create PR on ost-docs + if: steps.check.outputs.changed == 'true' + run: | + cd docs + BRANCH="sync/ost-linker-${{ github.head_ref }}" + + git remote set-url origin https://x-access-token:${{ secrets.OST_DOCS_TOKEN }}@github.com/opensource-together/ost-docs.git + git checkout -b "$BRANCH" + git push -u origin "$BRANCH" --force + + # Skip PR creation if branch has no new commits vs main + if git diff --quiet origin/main..HEAD 2>/dev/null; then + echo "No new commits vs main — skipping PR creation" + exit 0 + fi + + # Create PR if one doesn't already exist + EXISTING=$(gh pr list --repo opensource-together/ost-docs --head "$BRANCH" --state open --json number -q '.[0].number' || echo "") + if [ -z "$EXISTING" ]; then + gh pr create \ + --repo opensource-together/ost-docs \ + --head "$BRANCH" \ + --base main \ + --title "docs: sync from ost-linker (${{ github.head_ref }})" \ + --body "$(cat <<'EOF' + ## Summary + Automated docs sync from [ost-linker](${{ github.server_url }}/${{ github.repository }}/pull/${{ github.event.pull_request.number }}). + + This PR contains documentation changes made in the ost-linker repository. + EOF + )" + echo "PR created on ost-docs" + else + echo "PR #$EXISTING already exists on ost-docs" + fi + env: + GH_TOKEN: ${{ secrets.OST_DOCS_TOKEN }} diff --git a/.github/workflows/sync-prisma-backend.yml b/.github/workflows/sync-prisma-backend.yml new file mode 100644 index 00000000..2fd5c7e4 --- /dev/null +++ b/.github/workflows/sync-prisma-backend.yml @@ -0,0 +1,79 @@ +name: Sync prisma/ to ost-backend + +on: + pull_request: + branches: [main, staging] + paths: + - "prisma/**" + +jobs: + sync-prisma: + runs-on: ubuntu-latest + steps: + - name: Checkout ost-linker + uses: actions/checkout@v4 + with: + path: linker + + - name: Checkout ost-backend + uses: actions/checkout@v4 + with: + repository: opensource-together/ost-backend + token: ${{ secrets.OST_BACKEND_TOKEN }} + path: backend + + - name: Check if prisma changed + id: check + run: | + BASE_SHA=$(cd linker && git merge-base origin/${{ github.base_ref }} HEAD) + PRISMA_CHANGED=$(cd linker && git diff --name-only "$BASE_SHA" HEAD -- prisma/) + if [ -z "$PRISMA_CHANGED" ]; then + echo "changed=false" >> "$GITHUB_OUTPUT" + else + echo "changed=true" >> "$GITHUB_OUTPUT" + fi + + - name: Sync prisma/ and create PR on ost-backend + if: steps.check.outputs.changed == 'true' + run: | + BRANCH="sync/ost-linker-prisma-${{ github.head_ref }}" + + cd backend + git checkout -b "$BRANCH" + + # Replace backend prisma/ with linker prisma/ + rm -rf prisma/ + cp -r ../linker/prisma/ prisma/ + + # Check if there are actual changes + if git diff --quiet && [ -z "$(git ls-files --others --exclude-standard prisma/)" ]; then + echo "No changes to sync — skipping" + exit 0 + fi + + git add prisma/ + git commit -m "chore(prisma): sync schema from ost-linker (${{ github.head_ref }})" + git push -u origin "$BRANCH" --force + + # Create PR if one doesn't already exist + EXISTING=$(gh pr list --repo opensource-together/ost-backend --head "$BRANCH" --state open --json number -q '.[0].number' || echo "") + if [ -z "$EXISTING" ]; then + gh pr create \ + --repo opensource-together/ost-backend \ + --head "$BRANCH" \ + --base develop \ + --title "chore(prisma): sync from ost-linker (${{ github.head_ref }})" \ + --body "$(cat <<'EOF' + ## Summary + Automated prisma sync from [ost-linker](${{ github.server_url }}/${{ github.repository }}/pull/${{ github.event.pull_request.number }}). + + This PR contains schema/migration changes made in the ost-linker repository. + Please review and merge to keep the backend schema in sync. + EOF + )" + echo "PR created on ost-backend" + else + echo "PR #$EXISTING already exists on ost-backend" + fi + env: + GH_TOKEN: ${{ secrets.OST_BACKEND_TOKEN }} diff --git a/.gitignore b/.gitignore index b9bc187d..55c5ad65 100644 --- a/.gitignore +++ b/.gitignore @@ -1,184 +1,90 @@ -# Centralized config (généré dynamiquement) -config/cfg.py -config/cfg.yaml -# Ignore everything in docs/ost-docs except ai and docs.json -docs/ost-docs/* - -# Byte-compiled / optimized / DLL files / Temp files +# Python __pycache__/ *.py[cod] *$py.class -*tmp* - -# C extensions *.so - -# Distribution / packaging -.Python -build/ -develop-eggs/ -dist/ -downloads/ -eggs/ -.eggs/ -lib/ -lib64/ -parts/ -sdist/ -var/ -wheels/ -pip-wheel-metadata/ -share/python-wheels/ *.egg-info/ -.installed.cfg *.egg -MANIFEST - -# PyInstaller -# Usually these files are written by a CI, but they should be ignored by default. -*.manifest -*.spec +dist/ +build/ +.mypy_cache/ +.ruff* -# Logs -logs/ -mlruns/ -pip-log.txt -pip-delete-this-directory.txt +# Environments +.env +.env.local +.docker.env +.secrets* +.venv +venv/ -# Unit test / coverage reports +# Test / coverage htmlcov/ -.tox/ -.nox/ .coverage .coverage.* -.cache -nosetests.xml coverage.xml -*.cover -*.py,cover -.hypothesis/ .pytest_cache/ -reco.txt -# Translations -*.mo -*.pot - -# Django stuff: +# Logs +logs/ *.log -local_settings.py -db.sqlite3 -db.sqlite3-journal - -# Flask stuff: -instance/ -.webassets-cache - -# Scrapy stuff: -.scrapy - -# Sphinx documentation -docs/_build/ - -# PyBuilder -target/ - -# Jupyter Notebook -.ipynb_checkpoints - -# IPython -profile_default/ -ipython_config.py - -# Celery stuff -celerybeat-schedule -celerybeat.pid - -# Environments -.secrets* -.env -.env.local -.venv -env/ -venv/ -ENV/ -env.bak -venv.bak -src/dbt/.user.yml -.docker.env +mlruns/ -# IDE / Editor specific +# IDE / Editor .idea/ .vscode/ +.cursor/ *.swp *.swo *~ -.cursor/ -# OS specific +# OS .DS_Store Thumbs.db -# Personal -PR.md -PR.txt -TODO.md - -# Linters -.ruff* - -# SQL -postgres-data/ +# Model artifacts (downloaded at build time) +models/* +!models/README.md -# Model artifacts & db schema -# Ignore generated embeddings but keep Hugging Face models -models/*.npy -models/*.pkl -src/models +# Go binaries +src/services/go/scraper/github-scraper +src/services/go/fetcher/ost-fetcher -# Scripts (local-only for now) -scripts/!cfg_cron.py -*.sh -!docker-entrypoint.sh -*.old +# Dagster runtime +dagster_home/ +dagster/ +.tmp* -# DB test -*.db +# dbt +dbt/.user.yml +dbt/target/ +dbt/dbt_packages/ +dbt/logs/ -# Claude -CLAUDE.md +# Cache +.cache/ -# Turbo +# Node (only used for Prisma seeding) node_modules/ -apps/ -turbo.json +package-lock.json +package.json -# Go binaries -src/infrastructure/services/go/github/scraper -src/infrastructure/services/go/gitlab/scraper -github-scraper -gitlab-scraper +# Database +postgres-data/ +*.db + +# Docker +postgres-data/ -# Local git backups -**/.git_backups/** -**/git_backups/** -**/.git-backups/** -**/git-backups/** +# Legacy / unused +config/cfg.py +config/cfg.yaml +poetry.lock -# Model artifacts (do not track) -models/sentence-transformers/ -models/mlruns/ +# Personal notes +PR.md +PR.txt +TODO.md # Local .actrc - -# Lock files -uv.lock - -# Dagster -.tmp* -.dagster_home/* -!.dagster_home/dagster.yaml - -# Docker entrypoint scripts -entrypoint.sh diff --git a/.gitleaks.toml b/.gitleaks.toml new file mode 100644 index 00000000..f2a51ac2 --- /dev/null +++ b/.gitleaks.toml @@ -0,0 +1,3 @@ +[allowlist] +description = "Global allowlist for false positives" +paths = ["README.md"] diff --git a/.gitmodules b/.gitmodules new file mode 100644 index 00000000..1e0436a7 --- /dev/null +++ b/.gitmodules @@ -0,0 +1,3 @@ +[submodule "docs"] + path = docs + url = https://github.com/opensource-together/ost-docs/ diff --git a/.sqlfluff b/.sqlfluff new file mode 100644 index 00000000..687ec25e --- /dev/null +++ b/.sqlfluff @@ -0,0 +1,30 @@ +[sqlfluff] +templater = dbt +dialect = postgres +sql_file_exts = .sql +max_line_length = 120 + +[sqlfluff:templater:dbt] +project_dir = ./dbt +profiles_dir = ./dbt +profile = ost_linker +target = local + +[sqlfluff:rules:aliasing.table] +aliasing = explicit + +[sqlfluff:rules:aliasing.column] +aliasing = explicit + +[sqlfluff:rules:capitalisation.keywords] +capitalisation_policy = upper + +[sqlfluff:rules:capitalisation.functions] +capitalisation_policy = upper + +[sqlfluff:rules:capitalisation.identifiers] +capitalisation_policy = lower + +[sqlfluff:rules:references.keywords] +# Column names like 'language', 'name', 'description' come from the DB schema +ignore_words = name,language,description diff --git a/CLAUDE.md b/CLAUDE.md new file mode 100644 index 00000000..090de1fa --- /dev/null +++ b/CLAUDE.md @@ -0,0 +1,92 @@ +# CLAUDE.md + +This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository. + +## Project Overview + +OST Linker is the AI-powered recommendation engine for [OpenSourceTogether](https://opensource-together.com/). It scrapes GitHub for open-source projects, classifies them via LLM, computes embeddings, and surfaces personalized recommendations to users via cosine similarity (pgvector). + +## Common Commands + +### Development Setup +```bash +cp .env.example .env # Configure environment +docker compose up --build -d # Launch all services (Dagster UI at :3000) +``` + +### Database Initialization (first time, run against exposed DB on port 5433) +```bash +npx prisma db push # Apply schema +npx ts-node prisma/seed/seed.ts # Seed TechStacks, Categories, etc. +``` + +### Python / Dagster +```bash +uv sync # Install Python dependencies +dagster dev -h 0.0.0.0 -p 3000 # Run Dagster locally (outside Docker) +``` + +### dbt +```bash +cd dbt && dbt deps # Install dbt packages +dbt build # Build all models +dbt run --select # Run a specific model +dbt test --select # Test a specific model +``` +dbt profiles: `local` (default, port 5433) and `docker` (port 5432, host `db`). Set `DBT_TARGET` env var to switch. + +### Linting & Type Checking +```bash +ruff check src/ # Lint +ruff format src/ # Format +mypy src/ # Type check (strict mode) +``` + +### Tests +```bash +pytest # Run all tests (coverage included via --cov=src) +pytest tests/test_foo.py -k test_bar # Run a single test +pytest -m unit # Run by marker (unit/integration/performance/api) +``` +Test config is in `pyproject.toml` under `[tool.pytest.ini_options]`. Tests use class-based style (`class TestXxx`). + +### Go Binaries (must be compiled before local use) +```bash +cd src/services/go/scraper && go build -o github-scraper main.go +cd src/services/go/fetcher && go build -o ost-fetcher main.go +``` +Set `GO_SCRAPER_PATH` and `GO_FETCHER_PATH` in `.env` to the compiled binary paths. + +### Utility Scripts +```bash +scripts/go_binary_gen.sh # Compile Go binaries locally +scripts/clean_dagster.sh # Clear Dagster storage +scripts/sync_prisma.sh # Prisma schema sync +scripts/clean_docker_images.sh # Docker image cleanup +``` + +## Key Environment Variables + +| Variable | Purpose | +|---|---| +| `DATABASE_URL` | PostgreSQL connection string | +| `GITHUB_ACCESS_TOKEN` | GitHub fine-grained token for scraping | +| `OPENROUTER_API_KEY` | LLM classifier API key | +| `GO_SCRAPER_PATH` / `GO_FETCHER_PATH` | Paths to compiled Go binaries | +| `FASTTEXT_MODEL_PATH` | Path to `lid.176.ftz` (default: `models/lid.176.ftz`) | +| `DBT_TARGET` | dbt target profile (`local` by default, `docker` in container) | +| `DBT_PROJECT_DIR` | dbt project directory (default: `/dbt`, set to `/app/dbt` in Docker) | +| `DAGSTER_HOME` | Dagster metadata directory (default: `./dagster_home`) | + +## Bug Fixing + +When fixing a bug, always follow this order: +1. Write a failing test that reproduces the bug +2. Fix the code until the test passes +3. Never skip step 1 — no test, no fix + +## CI/CD + +- `publish-prod.yml` — on release, pushes Docker image to `ghcr.io/opensource-together/ia` +- `publish-develop.yml` — develop branch deployment +- `deploy-docs.yml` — auto-syncs `docs/ai/**` to external docs repo diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md new file mode 100644 index 00000000..0c421671 --- /dev/null +++ b/CONTRIBUTING.md @@ -0,0 +1,116 @@ +# Contributing to OST Linker + +OST Linker is the AI-powered recommendation engine of [OpenSourceTogether](https://opensource-together.com/). Contributions are welcome — bug fixes, new features, tests, and documentation improvements. + +## Prerequisites + +| Tool | Version | +| :--- | :--- | +| Python | 3.11 | +| Go | 1.24+ | +| Docker & Docker Compose | latest | +| Node.js | v18+ | +| uv | latest | + +## Local Setup + +```bash +# 1. Fork then clone +git clone https://github.com//ost-linker.git +cd ost-linker + +# 2. Configure environment +cp .env.example .env +# Fill in DATABASE_URL, GITHUB_ACCESS_TOKEN, OPENROUTER_API_KEY, paths, etc. + +# 3. Install Python dependencies +uv sync + +# 4. Compile Go binaries +bash scripts/go_binary_gen.sh + +# 5. Start infrastructure +docker compose up --build -d + +# 6. Initialize database +npx prisma db push +npx ts-node prisma/seed/seed.ts +``` + +## Branch Naming + +``` +feat/ # New features +fix/ # Bug fixes +refactor/ # Refactoring +test/ # Tests only +docs/ # Documentation +chore/ # Tooling, deps, CI +``` + +Never commit directly to `main` or `staging`. + +## Commit Convention + +We follow [Conventional Commits](https://www.conventionalcommits.org/). + +``` +(): +``` + +**Types:** `feat`, `fix`, `refactor`, `test`, `docs`, `chore` + +**Scopes:** + +| Scope | Covers | +| :--- | :--- | +| `resources` | `src/linker/resources/` | +| `assets` | `src/linker/assets/` | +| `linker` | General pipeline / definitions | +| `dbt` | `dbt/` models | +| `scraper` | Go scraper binary | +| `fetcher` | Go fetcher binary | +| `infra` | Docker, CI, scripts | + +Examples: +``` +feat(assets): add core_ml__embed_users asset +fix(resources): resolve null pointer in LLM classifier +refactor(linker): migrate PipelineConfig fields to EnvVar +test(resources): add unit tests for build_scraper_env +``` + +## Running Tests + +```bash +uv run pytest # All tests (with coverage) +uv run pytest -m unit # Unit tests only +uv run pytest tests/unit/test_cfg_resource.py -v +``` + +Tests are class-based (`class TestXxx`) and live under `tests/`. + +## Linting & Formatting + +```bash +ruff check src/ # Lint +ruff format src/ # Format +mypy src/ # Type-check +``` + +All lint and format checks must pass before opening a PR. + +## Pull Request Process + +1. Create a branch from `staging` (not `main`) +2. Make your changes with atomic commits +3. Ensure tests pass and lint is clean +4. Open a PR targeting `staging` +5. Request a review from `@spideystreet` + +PR titles follow the same `(): ` format as commits. + +## Getting Help + +- [GitHub Issues](https://github.com/opensource-together/ost-linker/issues) — bug reports and feature requests +- [@spideystreet](https://x.com/spideystreet) — project updates diff --git a/Dockerfile b/Dockerfile index 891fb1a3..70d3391f 100644 --- a/Dockerfile +++ b/Dockerfile @@ -1,154 +1,101 @@ -# ======================================== -# OST AI ENGINE - DOCKERFILE -# ======================================== # ============================================================================== -# STAGE 1: Builder - install build deps and build the app +# Stage 1: Go Builder +# Compiles the separate Go services (fetcher and scraper) # ============================================================================== -FROM python:3.11-slim AS builder - -# Install heavy system packages required only for build -RUN apt-get update && \ - apt-get install -y --no-install-recommends \ - build-essential \ - gcc \ - libpq-dev \ - git \ - curl \ - ca-certificates \ - libpq5 \ - libatomic1 \ - libstdc++6 \ - libgcc-s1 && \ - rm -rf /var/lib/apt/lists/* - -# Install Poetry -RUN pip install poetry==2.2.1 +FROM golang:1.24-alpine AS go-builder WORKDIR /app -ENV PRISMA_BINARY_CACHE_DIR=/app/.cache/prisma -ENV XDG_CACHE_HOME=/app/.cache -RUN mkdir -p /app/.cache/prisma +# Copy Go service definitions +# We assume the structure: src/services/go/{service}/go.mod +COPY src/services/go/fetcher ./src/services/go/fetcher +COPY src/services/go/scraper ./src/services/go/scraper -# Configure Poetry to create the virtualenv inside the project -ENV POETRY_VIRTUALENVS_IN_PROJECT=true +# Build Scraper +WORKDIR /app/src/services/go/scraper +RUN CGO_ENABLED=0 go mod download && go build -ldflags="-s -w" -o /app/bin/ost-scraper . -# Install Python dependencies -COPY pyproject.toml poetry.lock ./ -RUN poetry install --no-root --only main - -# Copy source and generate Prisma client -# Generate Prisma client and prefetch binaries into /app/.cache/prisma -COPY src/ src/ -COPY prisma/ prisma/ -# Generate Prisma client and prefetch binaries into /app/.cache/prisma -RUN poetry run prisma generate -RUN poetry run prisma py fetch - -RUN mkdir -p /app/models && \ - curl -fL -o /app/models/lid.176.ftz https://dl.fbaipublicfiles.com/fasttext/supervised-models/lid.176.ftz +# Build Fetcher +WORKDIR /app/src/services/go/fetcher +RUN CGO_ENABLED=0 go mod download && go build -ldflags="-s -w" -o /app/bin/ost-fetcher . # ============================================================================== -# STAGE 2: Go builder - compile Go binaries +# Stage 2: Python Builder +# Exports requirements via uv # ============================================================================== -FROM golang:1.25.3 AS go-builder - -WORKDIR /go - -# Build args/env for proxy and module fetching -ARG GOPROXY=https://proxy.golang.org,direct -ARG HTTP_PROXY -ARG HTTPS_PROXY -ARG NO_PROXY -ENV GOPROXY=${GOPROXY} -ENV CGO_ENABLED=0 -ENV GOOS=linux -ENV GOARCH=amd64 -ENV GOTOOLCHAIN=auto - -# Copy sources -COPY src/services/go/github/ /go/github/ -COPY src/services/go/gitlab/ /go/gitlab/ - -# Build binaries (modules will be fetched automatically by go build) -WORKDIR /go/github -RUN go build -ldflags="-s -w" -o /go/github-scraper . -WORKDIR /go/gitlab -RUN go build -ldflags="-s -w" -o /go/gitlab-scraper . - -# ============================================================================== -# STAGE 3: Production - create lightweight final image -# ============================================================================== -FROM python:3.11-slim AS production - -# Install only runtime system libraries -RUN apt-get update && \ - apt-get install -y --no-install-recommends \ - libpq5 \ - libatomic1 \ - libstdc++6 \ - libgcc-s1 \ - ca-certificates \ - && rm -rf /var/lib/apt/lists/* +FROM python:3.11-slim AS python-builder WORKDIR /app -# Set environment variables -ENV PROJECT_ROOT=. -ENV CFG_PATH=config/cfg.py -ENV OST_CONFIG_PATH=/app/config/cfg.yaml -ENV DAGSTER_HOME=/app/.dagster_home -ENV DAGSTER_STORAGE_DIR=/app/.dagster_home/history -ENV DAGSTER_LOGS_DIR=/app/.dagster_home/logs -ENV PRISMA_BINARY_CACHE_DIR=/app/.cache/prisma -ENV XDG_CACHE_HOME=/app/.cache - -# Configure Poetry to create the virtualenv inside the project -ENV POETRY_VIRTUALENVS_IN_PROJECT=true -ENV PATH="/app/.venv/bin:$PATH" - -# Create a non-root user for the app -RUN addgroup --system app && adduser --system --group app - -# Copy project configuration -COPY --from=builder --chown=app:app /app/pyproject.toml ./pyproject.toml -COPY --from=builder --chown=app:app /app/poetry.lock ./poetry.lock - -# Reuse the virtualenv built in the builder stage (no reinstall here) -COPY --from=builder --chown=app:app /app/.venv /app/.venv +COPY --from=ghcr.io/astral-sh/uv:0.10 /uv /usr/local/bin/uv -# Copy required artifacts from previous stages -COPY --chown=app:app src/pipeline/resources/ src/pipeline/resources/ -COPY --from=builder --chown=app:app /app/src src +COPY pyproject.toml uv.lock ./ -COPY --from=builder --chown=app:app /app/prisma prisma -COPY --from=builder --chown=app:app /app/.cache/prisma /app/.cache/prisma +RUN uv export --frozen --no-dev --no-hashes --output-file requirements.txt -COPY --from=builder --chown=app:app /app/models /app/models - -# Copy helper scripts -COPY --chown=app:app scripts/ /app/scripts/ -# Make entrypoint and helper scripts executable -RUN chmod +x /app/scripts/cfg_cron.py /app/scripts/docker-entrypoint.sh || true - -COPY --from=go-builder --chown=app:app /go/github-scraper github-scraper -COPY --from=go-builder --chown=app:app /go/gitlab-scraper gitlab-scraper - -# Create cache dirs and set ownership to 'app' -RUN mkdir -p /app/.cache/prisma /app/.dagster_home /app/src/pipeline ${DAGSTER_STORAGE_DIR} ${DAGSTER_LOGS_DIR} && \ - chown -R app:app /app/.cache /app/.dagster_home /app/src/pipeline ${DAGSTER_STORAGE_DIR} ${DAGSTER_LOGS_DIR} - -# Create config dir and set owner -RUN mkdir config/ && chown app:app config +# ============================================================================== +# Stage 3: Runtime +# Final lightweight image +# ============================================================================== +FROM python:3.11-slim -# Ensure Go binaries are executable (fix permission issues) -RUN chmod +x /app/github-scraper /app/gitlab-scraper || true +WORKDIR /app -# Switch to non-root user for runtime (safer) -USER app +# Install system dependencies +# libpq-dev: psycopg2, git: dbt deps, curl: healthcheck, g++: fasttext C++ extension +RUN apt-get update && apt-get install -y --no-install-recommends \ + libpq-dev \ + git \ + curl \ + g++ \ + && rm -rf /var/lib/apt/lists/* +# Install Python dependencies +# 1. Install torch CPU-only first (avoids downloading ~2GB of CUDA libs) +# 2. Strip the `-e .` editable self-install line — the project is COPY'd later +# and discovered via PYTHONPATH, so there's no need for an editable install. +# 3. Install remaining deps (torch is already satisfied, pip skips it) +COPY --from=python-builder /app/requirements.txt . +RUN pip install --no-cache-dir torch --index-url https://download.pytorch.org/whl/cpu \ + && sed -i '/^-e \./d' requirements.txt \ + && sed -i '/^torch==/d' requirements.txt \ + && sed -i '/^nvidia-/d' requirements.txt \ + && sed -i '/^triton==/d' requirements.txt \ + && sed -i '/^cuda-/d' requirements.txt \ + && pip install --no-cache-dir -r requirements.txt + +# Copy Go binaries from Stage 1 +COPY --from=go-builder /app/bin/ost-fetcher /usr/local/bin/ost-fetcher +COPY --from=go-builder /app/bin/ost-scraper /usr/local/bin/ost-scraper + +# Copy project code +COPY . . + +# Set environment +ENV DAGSTER_HOME=/app/dagster_home +ENV DAGSTER_STORAGE_DIR=/app/dagster_home/storage +ENV DAGSTER_LOGS_DIR=/app/dagster_home/logs +ENV PYTHONPATH=/app +ENV DBT_PROJECT_DIR=/app/dbt + +# Create Dagster home, copy prod config as default +RUN mkdir -p $DAGSTER_HOME \ + && cp dagster.prod.yaml $DAGSTER_HOME/dagster.yaml + +# Create non-root user and set ownership for writable directories +RUN groupadd -g 1000 appuser \ + && useradd -u 1000 -g appuser -s /bin/bash appuser \ + && chown -R appuser:appuser $DAGSTER_HOME /app/dbt /app/models /app/scripts + +USER appuser + +# Expose Dagster webserver port EXPOSE 3000 -ENTRYPOINT [ "/app/scripts/docker-entrypoint.sh" ] -CMD ["dagster", "dev", "-m", "src.pipeline.definitions", "--host", "0.0.0.0", "--port", "3000" ] +# Healthcheck for Dagster webserver +HEALTHCHECK --interval=30s --timeout=5s --start-period=120s --retries=3 \ + CMD curl -f http://localhost:3000/server_info || exit 1 + +# Default command: run dagster-webserver (production mode) +CMD ["dagster-webserver", "-h", "0.0.0.0", "-p", "3000", "-w", "/app/workspace.yaml"] diff --git a/Makefile b/Makefile new file mode 100644 index 00000000..f67649be --- /dev/null +++ b/Makefile @@ -0,0 +1,61 @@ +.DEFAULT_GOAL := help + +## Setup — install Python deps and compile Go binaries +setup: + uv sync + $(MAKE) build-go + +## Dev — run Dagster dev server locally +dev: + uv run dagster dev -h 0.0.0.0 -p 3000 + +## Test — run pytest with coverage +test: + uv run pytest + +## Lint — check code with ruff +lint: + uv run ruff check src/ + +## Format — auto-format code with ruff +format: + uv run ruff format src/ + +## Typecheck — run mypy strict type checking +typecheck: + uv run mypy src/ + +## Build-go — compile Go scraper and fetcher binaries +build-go: + bash scripts/go_binary_gen.sh + +## Docker-up — start all services +docker-up: + docker compose up --build -d + +## Docker-down — stop all services +docker-down: + docker compose down + +## DB-init — apply Prisma schema and seed data +db-init: + npx prisma db push + npx ts-node prisma/seed/seed.ts + +## DBT-build — install dbt deps and build all models +dbt-build: + cd dbt && dbt deps && dbt build + +## Clean — remove Dagster storage and Python caches +clean: + bash scripts/clean_dagster.sh + find . -type d -name __pycache__ -exec rm -rf {} + 2>/dev/null || true + rm -rf .ruff_cache .mypy_cache htmlcov .coverage + +## Help — show available targets +help: + @echo "Available targets:" + @echo "" + @grep -E '^## ' $(MAKEFILE_LIST) | sed 's/## / /' + +.PHONY: setup dev test lint format typecheck build-go docker-up docker-down db-init dbt-build clean help diff --git a/README.md b/README.md index 31c25b67..a58acf73 100644 --- a/README.md +++ b/README.md @@ -6,43 +6,48 @@ Recommender-system of the [OpenSource Together](https://github.com/opensource-to -[![Discord](https://img.shields.io/badge/Join%20Community-5865F2?logo=discord&logoColor=white)](https://discord.com/invite/4ZDhm3dQAC) [![Follow](https://img.shields.io/twitter/follow/OpenSTogether?style=social)](https://x.com/OpenSTogether) [![GitHub](https://img.shields.io/badge/GitHub-OpenSource%20Together-black.svg)](https://github.com/opensource-together) +[![Discord](https://img.shields.io/badge/Join%20Community-5865F2?logo=discord&logoColor=white)](https://discord.com/invite/4ZDhm3dQAC) [![Follow](https://img.shields.io/twitter/follow/OpenSTogether?style=social)](https://x.com/OpenSTogether) [![GitHub](https://img.shields.io/badge/GitHub-OpenSource%20Together-black.svg)](https://github.com/opensource-together) [![License: CC BY-NC 4.0](https://img.shields.io/badge/License-CC%20BY--NC%204.0-lightgrey.svg)](https://creativecommons.org/licenses/by-nc/4.0/) --- ## What is it? -An AI‑powered data pipeline that discovers, understands, and curates open‑source projects to power OST’s recommendation system and provide high-quality projects to contribute on. +**OST Linker** is the AI brain behind [OpenSourceTogether](https://opensource-together.com/). It scrapes GitHub, classifies projects with LLMs, computes embeddings, and delivers personalized open-source recommendations — so you find your next contribution in seconds, not hours. -What it does : -- **Discover**: scan GitHub at scale with Golang scrapers -- **Understand**: detect language and semantics (fastText + transformers) -- **Assess**: score quality and relevance from activity and metadata signals -- **Enrich**: normalize topics, tech stacks, and fields into a coherent schema - -**Deliver**: output a clean, queryable dataset (PostgreSQL via Prisma) +**How it works:** GitHub scraping (Go) → dbt transformations → LLM classification → vector embeddings → cosine similarity matching. ## Quick Start -1. Copy `.env.example` into `.env` and fill it. -2. Copy `config/cfg_example.py` to `config/cfg.py` and adjust the config to your personal parameters. -3. Start ```bash -# Start the engine -docker compose up +cp .env.example .env # configure +make setup # install deps + compile Go binaries +docker compose up --build -d # start services (Dagster UI at :3000) +make db-init # apply schema + seed data ``` -Dagster UI : http://localhost:3000 +See the full [Contributing Guide](CONTRIBUTING.md) for local development setup. + +## Tech Stack + +| Layer | Tech | +|---|---| +| Orchestration | Dagster | +| Scraping | Go (scraper + fetcher) | +| Transformations | dbt (PostgreSQL) | +| Classification | LLM via OpenRouter | +| Embeddings | SentenceTransformers (MiniLM-L6-v2) | +| Similarity | pgvector (cosine) | +| Database | PostgreSQL + Prisma | + +## License -## Status -Work in progress. -Build in public here : [@spideyX](https://x.com/spideyai_X) +[CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/) — See [LICENSE](LICENSE). ---
-Made with love by [@spideyX](https://x.com/spideyai_X) & the [OST team](https://github.com/opensource-together) for the OSS community +Built in public by [@spideystreet](https://x.com/spideystreet) & the [OST team](https://github.com/opensource-together)
diff --git a/config/cfg.example.py b/config/cfg.example.py deleted file mode 100644 index 5208fd93..00000000 --- a/config/cfg.example.py +++ /dev/null @@ -1,87 +0,0 @@ -######################################## -# CONFIGURATION MODULE - OST AI ENGINE (EXAMPLE) -######################################## - -""" -Generates a sample centralized config YAML for onboarding. -Uses placeholders (no secrets) and a dynamic seven_days_ago -in the GitHub query. Do not use in production. -""" - -import os -from datetime import date, timedelta - -# Compute a rolling "seven days ago" date used in example GitHub query -time = (date.today() - timedelta(days="X")).isoformat() - -github_base_filters = [ - "stars:X..X", - "topics:>X", - "forks:>X", - f"created:>={time}", - "is:public", - "archived:false", - "NOT download" -] - -# General (example default) -database_url = os.getenv("DATABASE_URL", "postgresql://user:pass@host:5432/dbname") - -GITHUB = { - "GITHUB_API_URL": os.getenv("GITHUB_API_URL", "https://api.github.com/search/repositories"), - "GITHUB_ACCESS_TOKEN": os.getenv("GITHUB_ACCESS_TOKEN", "your_github_token_here"), - # Matches the real `cfg.py` filters but uses a dynamic date in the example generator - "GITHUB_SCRAPING_QUERY": os.getenv("GITHUB_SCRAPING_QUERY", " ".join(github_base_filters)), - "GITHUB_TOP_N": int(os.getenv("GITHUB_TOP_N", "30")), -} - -GITLAB = { - "GITLAB_API_URL": os.getenv("GITLAB_API_URL", "https://gitlab.com/api/v4"), - "GITLAB_ACCESS_TOKEN": os.getenv("GITLAB_ACCESS_TOKEN", "your_gitlab_token_here"), - "GITLAB_SCRAPING_QUERY": os.getenv("GITLAB_SCRAPING_QUERY", "opensource"), - "GITLAB_PROJECTS_VISIBILITY": os.getenv("GITLAB_PROJECTS_VISIBILITY", "public"), - "GITLAB_PROJECTS_ARCHIVED": os.getenv("GITLAB_PROJECTS_ARCHIVED", "false"), - "GITLAB_PROJECTS_ORDER_BY": os.getenv("GITLAB_PROJECTS_ORDER_BY", "created_at"), - "GITLAB_PROJECTS_SORT": os.getenv("GITLAB_PROJECTS_SORT", "desc"), - "GITLAB_TOP_N": int(os.getenv("GITLAB_TOP_N", "30")), -} - -# Optional model / seed paths used by the pipeline -FASTTEXT_MODEL_PATH = os.getenv("FASTTEXT_MODEL_PATH", "/app/models/lid.176.ftz") -TECHSTACKS_SEED_PATH = os.getenv("TECHSTACKS_SEED_PATH", "/app/prisma/seed/techstacks-data.ts") - -dest_path = os.path.join(os.path.dirname(__file__), "cfg.example.yaml") -with open(dest_path, "w") as f: - f.write(f""" -############################################################ -# OST AI ENGINE - CENTRALIZED CONFIG (EXAMPLE) # -# Generated by cfg.example.py - DO NOT USE FOR PROD # -############################################################ - -# ───────────────────────────────────────────────────────── # - -# PostgreSQL database connection URL -DATABASE_URL: "{database_url}" - -# # GitHub configuration - GITHUB_API_URL: {GITHUB['GITHUB_API_URL']} - GITHUB_ACCESS_TOKEN: "{GITHUB['GITHUB_ACCESS_TOKEN']}" - # Quote the scraping query because it contains special characters (colon, >, spaces) - GITHUB_SCRAPING_QUERY: "{GITHUB['GITHUB_SCRAPING_QUERY']}" - GITHUB_TOP_N: {GITHUB['GITHUB_TOP_N']} - -# GitLab configuration -GITLAB_API_URL: {GITLAB['GITLAB_API_URL']} -GITLAB_ACCESS_TOKEN: "{GITLAB['GITLAB_ACCESS_TOKEN']}" -GITLAB_PROJECTS_VISIBILITY: {GITLAB['GITLAB_PROJECTS_VISIBILITY']} -GITLAB_PROJECTS_ARCHIVED: {GITLAB['GITLAB_PROJECTS_ARCHIVED']} -GITLAB_PROJECTS_ORDER_BY: {GITLAB['GITLAB_PROJECTS_ORDER_BY']} -GITLAB_PROJECTS_SORT: {GITLAB['GITLAB_PROJECTS_SORT']} -GITLAB_SCRAPING_QUERY: {GITLAB['GITLAB_SCRAPING_QUERY']} -GITLAB_TOP_N: {GITLAB['GITLAB_TOP_N']} - -# Optional model / seed paths used by the pipeline -FASTTEXT_MODEL_PATH: {FASTTEXT_MODEL_PATH} -TECHSTACKS_SEED_PATH: {TECHSTACKS_SEED_PATH} -# ───────────────────────────────────────────────────────── # -""") \ No newline at end of file diff --git a/config/cfg.example.yaml b/config/cfg.example.yaml deleted file mode 100644 index c1a39b63..00000000 --- a/config/cfg.example.yaml +++ /dev/null @@ -1,41 +0,0 @@ -############################################################ -# OST AI ENGINE - CENTRALIZED CONFIG (EXAMPLE) # -# This file is a sample centralized configuration # -# to copy and adapt for your environment. # -# It contains all secrets and parameters required # -# for Go scrapers and the Dagster pipeline. # -# # -# DO NOT COMMIT WITH SENSITIVE VALUES! # -############################################################ - -# ───────────────────────────────────────────────────────── # - -# PostgreSQL database connection URL - -DATABASE_URL: "postgresql://user:pass@host:5432/dbname" - - -# # GitHub configuration - -GITHUB_API_URL: https://api.github.com/search/repositories -GITHUB_ACCESS_TOKEN: "your_github_token_here" -# Example query matching the filters used in `config/cfg.py` (date should be updated as needed) -GITHUB_SCRAPING_QUERY: stars:XX..XXX topics:>XX forks:>XX created:>=X is:public archived:false -GITHUB_TOP_N: 30 - -# GitLab configuration - -GITLAB_API_URL: https://gitlab.com/api/v4 -GITLAB_ACCESS_TOKEN: "your_gitlab_token_here" -GITLAB_PROJECTS_VISIBILITY: public -GITLAB_PROJECTS_ARCHIVED: false -GITLAB_PROJECTS_ORDER_BY: created_at -GITLAB_PROJECTS_SORT: desc -GITLAB_SCRAPING_QUERY: opensource -GITLAB_TOP_N: 30 - -# ───────────────────────────────────────────────────────── # - -# Optional model / seed paths used by the pipeline -FASTTEXT_MODEL_PATH: /app/models/lid.176.ftz -TECHSTACKS_SEED_PATH: /app/prisma/seed/techstacks-data.ts \ No newline at end of file diff --git a/dagster.prod.yaml b/dagster.prod.yaml new file mode 100644 index 00000000..135c231d --- /dev/null +++ b/dagster.prod.yaml @@ -0,0 +1,23 @@ +storage: + postgres: + postgres_url: + env: DAGSTER_PG_URL + +compute_logs: + module: dagster.core.storage.local_compute_log_manager + class: LocalComputeLogManager + config: + base_dir: + env: DAGSTER_LOGS_DIR + +run_coordinator: + module: dagster.core.run_coordinator + class: QueuedRunCoordinator + config: + max_concurrent_runs: 2 + +run_monitoring: + enabled: true + +telemetry: + enabled: false diff --git a/.dagster_home/dagster.yaml b/dagster.yaml similarity index 86% rename from .dagster_home/dagster.yaml rename to dagster.yaml index 8b9e02ab..38beef36 100644 --- a/.dagster_home/dagster.yaml +++ b/dagster.yaml @@ -2,6 +2,7 @@ # Documentation: https://docs.dagster.io/deployment/dagster-instance # unified storage for runs, event logs, and schedules +# NOTE: SQLite is suitable for dev only — use PostgreSQL storage for production storage: sqlite: # use environment variable so runtime path is configurable @@ -17,10 +18,11 @@ compute_logs: base_dir: env: DAGSTER_LOGS_DIR -# no parallelism for now run_coordinator: module: dagster.core.run_coordinator class: QueuedRunCoordinator + config: + max_concurrent_runs: 2 # enable run monitoring for better error detection run_monitoring: diff --git a/dbt/dbt_project.yml b/dbt/dbt_project.yml new file mode 100644 index 00000000..15479472 --- /dev/null +++ b/dbt/dbt_project.yml @@ -0,0 +1,89 @@ +name: 'ost_linker' +version: '1.0.0' +config-version: 2 + +profile: 'ost_linker' +model-paths: ["models"] +analysis-paths: ["analyses"] +test-paths: ["tests"] +seed-paths: ["seeds"] +macro-paths: ["macros"] +snapshot-paths: ["snapshots"] + +vars: + global_reco_top_n: 20 + # Blend weights (sum to 1.0) + w_similarity: 0.40 + w_preference: 0.35 + w_freshness: 0.15 + w_popularity: 0.10 + # Preference sub-weights (sum to 1.0) + w_pref_tech: 0.30 + w_pref_category: 0.45 + w_pref_domain: 0.25 + # Thresholds + similarity_threshold: 0.25 + reco_top_n: 30 + freshness_decay_days: 90 + +target-path: "target" +clean-targets: + - "target" + - "dbt_packages" + +models: + ost_linker: + + staging: + +materialized: table + stg_github__project: + +schema: github + +meta: { dagster: { group: ingestion } } + stg_github__readme: + +schema: github + +meta: { dagster: { group: ingestion } } + stg_github__topics: + +schema: github + +meta: { dagster: { group: ingestion } } + stg_github__languages: + +schema: github + +meta: { dagster: { group: ingestion } } + stg_github__detection: + +schema: github + +meta: { dagster: { group: ingestion } } + stg_public__user: + +schema: ml + +meta: { dagster: { group: ml_preparation } } + stg_public__project: + +schema: ml + +meta: { dagster: { group: ml_preparation } } + + intermediate: + +materialized: table + int_project_enriched: + +schema: github + +meta: { dagster: { group: ingestion } } + int_user_enriched: + +schema: ml + +meta: { dagster: { group: ml_preparation } } + int_project_contextualized: + +schema: ml + +meta: { dagster: { group: ml_preparation } } + int_project_embedding_candidate: + +schema: ml + +meta: { dagster: { group: ml_preparation } } + + marts: + +materialized: table + fct_github_project: + +schema: github + +meta: { dagster: { group: ingestion } } + fct_public_user: + +schema: ml + +meta: { dagster: { group: ml_preparation } } + match_global_recommendation: + +schema: public + +meta: { dagster: { group: matching } } + match_user_recommendation: + +schema: public + +meta: { dagster: { group: matching } } \ No newline at end of file diff --git a/dbt/macros/build_project_context.sql b/dbt/macros/build_project_context.sql new file mode 100644 index 00000000..7e2d65e3 --- /dev/null +++ b/dbt/macros/build_project_context.sql @@ -0,0 +1,47 @@ +{% macro build_project_context(fields, skip_empty=true) %} + {# + Generates a structured context string optimized for LLM understanding. + + Args: + fields: list of tuples [('Label', 'column_name'), ...] + skip_empty: if true, sections with empty values are omitted + + Output format (Markdown-like, proven effective for LLMs): + + # Project Overview + + ## Title + Project Name Here + + ## Description + What the project does... + #} + {%- set chunks = [] -%} + + {# Add a header to establish context #} + {%- do chunks.append("E'# Project Overview\n\n'") -%} + + {%- for label, column in fields -%} + {%- if skip_empty -%} + {# Only include section if value is not null/empty #} + {%- set chunk -%} + case + when length(trim(coalesce({{ column }}::text, ''))) > 0 + then E'## {{ label }}\n' || trim({{ column }}::text) || E'\n\n' + else '' + end + {%- endset -%} + {%- else -%} + {%- set chunk -%} + E'## {{ label }}\n' || coalesce(trim({{ column }}::text), 'N/A') || E'\n\n' + {%- endset -%} + {%- endif -%} + {%- do chunks.append(chunk) -%} + {%- endfor -%} + + {# Concatenate and clean final output #} + trim(regexp_replace( + {{ chunks | join(" || ") }}, + E'\n{3,}', E'\n\n', 'g' -- Collapse excessive newlines + )) +{% endmacro %} diff --git a/dbt/macros/build_user_context.sql b/dbt/macros/build_user_context.sql new file mode 100644 index 00000000..08570f69 --- /dev/null +++ b/dbt/macros/build_user_context.sql @@ -0,0 +1,38 @@ +{% macro build_user_context(fields, skip_empty=true) %} + {# + Generates a structured context string for Users, optimized for LLM/Embedding understanding. + Mirroring the logic of build_project_context. + + Args: + fields: list of tuples [('Label', 'column_name'), ...] + skip_empty: if true, sections with empty values are omitted + #} + {%- set chunks = [] -%} + + {# Add a header to establish context #} + {%- do chunks.append("E'# User Profile\n\n'") -%} + + {%- for label, column in fields -%} + {%- if skip_empty -%} + {# Only include section if value is not null/empty #} + {%- set chunk -%} + case + when length(trim(coalesce({{ column }}::text, ''))) > 0 + then E'## {{ label }}\n' || trim({{ column }}::text) || E'\n\n' + else '' + end + {%- endset -%} + {%- else -%} + {%- set chunk -%} + E'## {{ label }}\n' || coalesce(trim({{ column }}::text), 'N/A') || E'\n\n' + {%- endset -%} + {%- endif -%} + {%- do chunks.append(chunk) -%} + {%- endfor -%} + + {# Concatenate and clean final output #} + trim(regexp_replace( + {{ chunks | join(" || ") }}, + E'\n{3,}', E'\n\n', 'g' + )) +{% endmacro %} diff --git a/dbt/macros/clean_text.sql b/dbt/macros/clean_text.sql new file mode 100644 index 00000000..d8ffdd6f --- /dev/null +++ b/dbt/macros/clean_text.sql @@ -0,0 +1,50 @@ +{% macro clean_text(column_name, max_length=8000) %} + {# + Cleans text for optimal LLM context understanding. + + Transformations (in order): + 1. Remove code blocks (```...```) - noise for understanding project purpose + 2. Remove HTML tags → space + 3. Extract link text from markdown links [text](url) → text + 4. Remove markdown images ![alt](url) + 5. Remove bare URLs (http/https) + 6. Remove very long strings (base64, minified code) + 7. Remove emojis and special unicode + 8. Collapse repeated punctuation + 9. Normalize whitespace + 10. Truncate to max_length + #} + left( + trim( + regexp_replace( -- 9. Normalize all whitespace to single space + regexp_replace( -- 8. Collapse repeated punctuation (!!!! -> !, .... -> .) + regexp_replace( -- 7. Remove emojis and most special unicode (keep basic latin + accents) + regexp_replace( -- 6. Remove very long non-spaced strings (base64, hashes, minified) + regexp_replace( -- 5. Remove bare URLs + regexp_replace( -- 4. Remove markdown images ![alt](url) + regexp_replace( -- 3. Extract text from markdown links [text](url) -> text + regexp_replace( -- 2. Convert HTML tags to space + regexp_replace( -- 1. Remove code blocks (```lang ... ```) + coalesce({{ column_name }}, ''), + '```[^`]*```', ' ', 'g' + ), + '<[^>]+>', ' ', 'g' + ), + '\[([^\]]+)\]\([^\)]+\)', '\1', 'g' -- Keep link text, drop URL + ), + '!\[[^\]]*\]\([^\)]+\)', '', 'g' -- Remove images entirely + ), + 'https?://[^\s\)>\]]+', '', 'g' -- Remove bare URLs + ), + '\S{80,}', '', 'g' -- Remove long unspaced strings + ), + '[^\x20-\x7E\xA0-\xFF\n]', '', 'g' -- Keep ASCII + Latin-1, remove emojis + ), + '([!?.,;:])\\1+', '\\1', 'g' -- Collapse repeated punctuation + ), + '\s+', ' ', 'g' + ) + ), + {{ max_length }} -- Truncate for embedding models + ) +{% endmacro %} diff --git a/dbt/macros/deduplicate.sql b/dbt/macros/deduplicate.sql new file mode 100644 index 00000000..d31dcc91 --- /dev/null +++ b/dbt/macros/deduplicate.sql @@ -0,0 +1,23 @@ +{% macro deduplicate(cte_name, partition_by, order_by) %} + {# + Selects the first row per group based on the order. + Returns a SELECT statement — wrap in a CTE and select explicit columns + to exclude the internal _rn column from final output. + + Usage: + with source as (...), + cleaned as (...), + deduped as ( + {{ deduplicate('cleaned', 'project_id', 'created_at desc') }} + ) + select col1, col2 from deduped + #} + select * + from ( + select + *, + row_number() over (partition by {{ partition_by }} order by {{ order_by }}) as _rn + from {{ cte_name }} + ) _deduped + where _rn = 1 +{% endmacro %} diff --git a/dbt/macros/generate_schema_name.sql b/dbt/macros/generate_schema_name.sql new file mode 100644 index 00000000..c1dee32e --- /dev/null +++ b/dbt/macros/generate_schema_name.sql @@ -0,0 +1,14 @@ +{% macro generate_schema_name(custom_schema_name, node) -%} + + {%- set default_schema = target.schema -%} + {%- if custom_schema_name is none -%} + + {{ default_schema }} + + {%- else -%} + + {{ custom_schema_name | trim }} + + {%- endif -%} + +{%- endmacro %} diff --git a/dbt/macros/jsonb_to_list.sql b/dbt/macros/jsonb_to_list.sql new file mode 100644 index 00000000..a6ad4ba0 --- /dev/null +++ b/dbt/macros/jsonb_to_list.sql @@ -0,0 +1,36 @@ +{% macro jsonb_to_list(column_name, separator=', ', normalize=true) %} + {# + Converts a JSONB array to a comma-separated list string. + + Args: + column_name: the JSONB column containing an array + separator: delimiter between values (default: ', ') + normalize: if true, applies lowercase + trim + dedup (default: true) + + Examples: + - ["Python", "JavaScript"] → "python, javascript" (with normalize) + - ["Python", "PYTHON"] → "python" (deduped) + - {"key": "val"} → "" (not an array, returns empty) + #} + ( + select + coalesce( + string_agg( + {% if normalize %}distinct lower(trim(value)){% else %}value{% endif %}, + '{{ separator }}' + {% if normalize %}order by lower(trim(value)){% endif %} + ), + '' + ) + from jsonb_array_elements_text( + case + when {{ column_name }} is null then '[]'::jsonb + when jsonb_typeof({{ column_name }}) = 'array' then {{ column_name }} + when jsonb_typeof({{ column_name }}) = 'object' then + -- Handle {lang: bytes} format from languages API + (select jsonb_agg(key) from jsonb_each({{ column_name }})) + else '[]'::jsonb + end + ) + ) +{% endmacro %} diff --git a/dbt/models/intermediate/int_project_contextualized.sql b/dbt/models/intermediate/int_project_contextualized.sql new file mode 100644 index 00000000..72a016f6 --- /dev/null +++ b/dbt/models/intermediate/int_project_contextualized.sql @@ -0,0 +1,28 @@ +WITH public_projects AS ( + SELECT * FROM {{ ref('stg_public__project') }} +), + +contextualized AS ( + SELECT + p.id, + {{ build_project_context([ + ('Title', 'p.title'), + ('Description', 'p.description'), + ('Categories', 'p.categories'), + ('Domains', 'p.domains'), + ('Tech Stack', 'p.tech_stack'), + ('Readme', clean_text('p.readme')) + ]) }} AS raw_context, + now() AS created_at + FROM public_projects AS p + WHERE p.id IS NOT null +) + +SELECT + id, + {{ clean_text('raw_context') }} AS context, + created_at +FROM contextualized +WHERE + raw_context IS NOT null + AND length(trim(raw_context)) > 10 diff --git a/dbt/models/intermediate/int_project_contextualized.yml b/dbt/models/intermediate/int_project_contextualized.yml new file mode 100644 index 00000000..12513d0f --- /dev/null +++ b/dbt/models/intermediate/int_project_contextualized.yml @@ -0,0 +1,14 @@ +version: 2 + +models: + - name: int_project_contextualized + description: "Builds structured markdown context from project metadata and cleans it for embedding generation." + columns: + - name: id + description: Project UUID + tests: [unique, not_null] + - name: context + description: Cleaned context (no URLs, code blocks, emojis) + tests: [not_null] + - name: created_at + description: Generation timestamp diff --git a/dbt/models/intermediate/int_project_embedding_candidate.sql b/dbt/models/intermediate/int_project_embedding_candidate.sql new file mode 100644 index 00000000..7b395ad0 --- /dev/null +++ b/dbt/models/intermediate/int_project_embedding_candidate.sql @@ -0,0 +1,43 @@ +WITH projects AS ( + SELECT * FROM {{ source('public', 'Project') }} +), + +classifications AS ( + SELECT * FROM {{ source('match', 'project_classification') }} +), + +categories AS ( + SELECT * FROM {{ source('public', 'Category') }} +), + +domains AS ( + SELECT * FROM {{ source('public', 'Domain') }} +), + +original_context AS ( + SELECT + id, + context + FROM {{ ref('int_project_contextualized') }} +), + +enriched AS ( + SELECT + p.id AS project_id, + concat( + coalesce(oc.context, ''), + ' | Category: ', coalesce(c.name, 'Uncategorized'), + ' | Domain: ', coalesce(d.name, 'General') + ) AS rich_context_string + FROM projects AS p + LEFT JOIN classifications AS cl ON p.id = cl."projectId" + LEFT JOIN categories AS c ON cl."categoryId" = c.id + LEFT JOIN domains AS d ON cl."domainId" = d.id + LEFT JOIN original_context AS oc ON p.id::uuid = oc.id + WHERE p.published = true OR p.trending = true +) + +SELECT + project_id, + rich_context_string +FROM enriched diff --git a/dbt/models/intermediate/int_project_embedding_candidate.yml b/dbt/models/intermediate/int_project_embedding_candidate.yml new file mode 100644 index 00000000..3352a73f --- /dev/null +++ b/dbt/models/intermediate/int_project_embedding_candidate.yml @@ -0,0 +1,13 @@ +version: 2 + +models: + - name: int_project_embedding_candidate + description: "Selects all published or trending projects and enriches them with classification context for embedding." + columns: + - name: project_id + description: "FK projects" + tests: + - unique + - not_null + - name: rich_context_string + description: "Enriched context string combining original metadata, readme, topics, category, and domain." diff --git a/dbt/models/intermediate/int_project_enriched.sql b/dbt/models/intermediate/int_project_enriched.sql new file mode 100644 index 00000000..b92c270e --- /dev/null +++ b/dbt/models/intermediate/int_project_enriched.sql @@ -0,0 +1,51 @@ +WITH projects AS ( + SELECT * FROM {{ ref('stg_github__project') }} +), + +readmes AS ( + SELECT * FROM {{ ref('stg_github__readme') }} +), + +topics AS ( + SELECT * FROM {{ ref('stg_github__topics') }} +), + +languages AS ( + SELECT * FROM {{ ref('stg_github__languages') }} +), + +detection AS ( + SELECT * FROM {{ ref('stg_github__detection') }} +), + +joined AS ( + SELECT + p.id, + p.name, + p.description, + p.url, + p.stars, + p.forks, + p.open_issues_count, + p.pushed_at, + p.created_at, + p.updated_at, + + -- Enriched fields + d.language_detected, + d.language_confidence, + r.content AS readme_content, + t.topics AS fetched_topics, + l.languages AS fetched_languages, + + -- Fallback logic (e.g. use detected language if primary is missing) + coalesce(p.language, d.language_detected) AS primary_language + + FROM projects AS p + LEFT JOIN detection AS d ON p.id = d.project_id + LEFT JOIN readmes AS r ON p.id = r.project_id + LEFT JOIN topics AS t ON p.id = t.project_id + LEFT JOIN languages AS l ON p.id = l.project_id +) + +SELECT * FROM joined diff --git a/dbt/models/intermediate/int_project_enriched.yml b/dbt/models/intermediate/int_project_enriched.yml new file mode 100644 index 00000000..df049b84 --- /dev/null +++ b/dbt/models/intermediate/int_project_enriched.yml @@ -0,0 +1,33 @@ +version: 2 + +models: + - name: int_project_enriched + description: > + Intermediate join model that unifies disparate GitHub data sources (metadata, readme, topics, + languages, detection) into a single wide table before final transformation. + columns: + - name: id + description: "Project UUID" + tests: [unique, not_null] + - name: name + description: "Repository name" + - name: description + description: "Repository description" + - name: url + description: "GitHub URL" + - name: readme_content + description: "Raw README content" + - name: fetched_topics + description: "JSONB array of topics fetched from GitHub API" + - name: fetched_languages + description: "JSONB object of language statistics" + - name: language_detected + description: "FastText detected language code" + - name: language_confidence + description: "FastText detection confidence" + - name: open_issues_count + description: "Number of open issues at scrape time" + - name: pushed_at + description: "Timestamp of the most recent push to the repository" + - name: primary_language + description: "Coalesced primary language (prioritizes detection, falls back to source)" diff --git a/dbt/models/intermediate/int_user_enriched.sql b/dbt/models/intermediate/int_user_enriched.sql new file mode 100644 index 00000000..dd87f2dc --- /dev/null +++ b/dbt/models/intermediate/int_user_enriched.sql @@ -0,0 +1,44 @@ +WITH user_base AS ( + SELECT * FROM {{ ref('stg_public__user') }} +), + +tech_stacks AS ( + SELECT + uts."userId" AS user_id, + string_agg(ts.name, ', ') AS tech_stack_list + FROM {{ source('public', 'user_tech_stack') }} AS uts + INNER JOIN {{ source('public', 'tech_stack') }} AS ts ON uts."techStackId" = ts.id + GROUP BY uts."userId" +), + +domains AS ( + SELECT + ud."userId" AS user_id, + string_agg(d.name, ', ') AS domain_list + FROM {{ source('public', 'user_domain') }} AS ud + INNER JOIN {{ source('public', 'Domain') }} AS d ON ud."domainId" = d.id + GROUP BY ud."userId" +), + +categories AS ( + SELECT + uc."userId" AS user_id, + string_agg(c.name, ', ') AS category_list + FROM {{ source('public', 'user_categories') }} AS uc + INNER JOIN {{ source('public', 'Category') }} AS c ON uc."categoryId" = c.id + GROUP BY uc."userId" +) + +SELECT + u.user_id, + u.name, + u.bio, + u.job_title, + u.experiences, + coalesce(t.tech_stack_list, '') AS tech_stacks, + coalesce(d.domain_list, '') AS domains, + coalesce(c.category_list, '') AS categories +FROM user_base AS u +LEFT JOIN tech_stacks AS t ON u.user_id = t.user_id +LEFT JOIN domains AS d ON u.user_id = d.user_id +LEFT JOIN categories AS c ON u.user_id = c.user_id diff --git a/dbt/models/intermediate/int_user_enriched.yml b/dbt/models/intermediate/int_user_enriched.yml new file mode 100644 index 00000000..a4590680 --- /dev/null +++ b/dbt/models/intermediate/int_user_enriched.yml @@ -0,0 +1,16 @@ +version: 2 + +models: + - name: int_user_enriched + description: "Intermediate model joining users with their domains, tech stacks, and categories" + columns: + - name: user_id + tests: + - unique + - not_null + - name: tech_stacks + description: "Comma-separated list of tech stack names" + - name: domains + description: "Comma-separated list of domain names" + - name: categories + description: "Comma-separated list of category names" diff --git a/dbt/models/marts/fct_github_project.sql b/dbt/models/marts/fct_github_project.sql new file mode 100644 index 00000000..9ce388b1 --- /dev/null +++ b/dbt/models/marts/fct_github_project.sql @@ -0,0 +1,35 @@ +WITH source AS ( + SELECT * FROM {{ ref('int_project_enriched') }} +), + +final AS ( + SELECT + *, + -- Context generation + {{ build_project_context([ + ('Title', 'name'), + ('Description', 'description'), + ('Topics', jsonb_to_list('fetched_topics')), + ('Tech stacks', jsonb_to_list('fetched_languages')), + ('Readme', clean_text('readme_content')) + ]) }} + AS context + FROM source +) + +SELECT + id, + name, + description, + url, + stars, + forks, + open_issues_count, + pushed_at, + created_at, + updated_at, + -- Keep metadata for filtering, but remove blobs (readme, full lists) to save space + language_confidence, + primary_language AS language, + context +FROM final diff --git a/dbt/models/marts/fct_github_project.yml b/dbt/models/marts/fct_github_project.yml new file mode 100644 index 00000000..88070598 --- /dev/null +++ b/dbt/models/marts/fct_github_project.yml @@ -0,0 +1,37 @@ +version: 2 + +models: + - name: fct_github_project + description: > + Central fact table aggregating all GitHub project data. This model serves as the primary + source for downstream ML and application layers, providing enriched metadata and + pre-computed LLM context. + columns: + - name: id + description: "Project UUID" + tests: [unique, not_null] + - name: name + description: "Repository name" + - name: description + description: "Repository description" + - name: url + description: "GitHub URL" + - name: stars + description: "Star count (popularity metric)" + - name: forks + description: "Fork count" + - name: open_issues_count + description: "Number of open issues at scrape time" + - name: pushed_at + description: "Timestamp of the most recent push to the repository" + - name: language + description: "Primary language (coalesced from GitHub source and FastText detection)" + - name: language_confidence + description: "Confidence score of the language detection (0-1)" + - name: context + description: "Structured markdown context for embeddings (## Title, Description, Topics, Tech stacks, Readme)" + tests: [not_null] + - name: created_at + description: "Creation timestamp" + - name: updated_at + description: "Last update timestamp" diff --git a/dbt/models/marts/fct_public_user.sql b/dbt/models/marts/fct_public_user.sql new file mode 100644 index 00000000..ef464349 --- /dev/null +++ b/dbt/models/marts/fct_public_user.sql @@ -0,0 +1,16 @@ +WITH raw_user AS ( + SELECT * FROM {{ ref('int_user_enriched') }} +) + +SELECT + user_id, + {{ build_user_context([ + ('Full Name', 'name'), + ('Bio', 'bio'), + ('Job Title', 'job_title'), + ('Tech Stacks', 'tech_stacks'), + ('Domains', 'domains'), + ('Interests', 'categories'), + ('Experience', 'experiences::text') + ]) }} AS user_context +FROM raw_user diff --git a/dbt/models/marts/fct_public_user.yml b/dbt/models/marts/fct_public_user.yml new file mode 100644 index 00000000..ae04e98e --- /dev/null +++ b/dbt/models/marts/fct_public_user.yml @@ -0,0 +1,12 @@ +version: 2 + +models: + - name: fct_public_user + description: "Mart model formatting user data into a single context string for embedding" + columns: + - name: user_id + tests: + - unique + - not_null + - name: user_context + description: "Enriched text representation of the user profile" diff --git a/dbt/models/marts/match_global_recommendation.sql b/dbt/models/marts/match_global_recommendation.sql new file mode 100644 index 00000000..6f107036 --- /dev/null +++ b/dbt/models/marts/match_global_recommendation.sql @@ -0,0 +1,21 @@ +WITH projects AS ( + SELECT * FROM {{ source('public', 'Project') }} +), + +metadata AS ( + SELECT * FROM {{ ref('fct_github_project') }} +), + +final AS ( + SELECT + p.id AS project_id, + m.stars, + p."updatedAt" AS last_synced_at + FROM projects AS p + INNER JOIN metadata AS m ON p.id::uuid = m.id + WHERE p.trending = true OR p.published = true + ORDER BY p."updatedAt" DESC, m.stars DESC + LIMIT {{ var('global_reco_top_n', 20) }} +) + +SELECT * FROM final diff --git a/dbt/models/marts/match_global_recommendation.yml b/dbt/models/marts/match_global_recommendation.yml new file mode 100644 index 00000000..fe8267f7 --- /dev/null +++ b/dbt/models/marts/match_global_recommendation.yml @@ -0,0 +1,18 @@ +version: 2 + +models: + - name: match_global_recommendation + description: > + Generates top global project recommendations based on popularity and recency. + Filters for trending or published projects and ranks them by update freshness + and star count. The limit is configurable via var('global_reco_top_n', 20). + columns: + - name: project_id + description: "PK projects" + tests: + - unique + - not_null + - name: stars + description: "Total GitHub star count" + - name: last_synced_at + description: "Timestamp of the last synchronization" diff --git a/dbt/models/marts/match_user_recommendation.sql b/dbt/models/marts/match_user_recommendation.sql new file mode 100644 index 00000000..05a4fb61 --- /dev/null +++ b/dbt/models/marts/match_user_recommendation.sql @@ -0,0 +1,251 @@ +-- Personalized recommendations with continuous preference scoring. +-- Replaces the old binary pre-filter with a weighted overlap score +-- blended alongside similarity, freshness, and popularity. + +-- Per-user totals for each preference dimension +WITH user_totals AS ( + SELECT + u.user_id, + count(DISTINCT uts."techStackId") AS total_tech_stacks, + count(DISTINCT uc."categoryId") AS total_categories, + count(DISTINCT ud."domainId") AS total_domains + FROM ( + SELECT "userId" AS user_id FROM {{ source('public', 'user_tech_stack') }} + UNION + SELECT "userId" FROM {{ source('public', 'user_categories') }} + UNION + SELECT "userId" FROM {{ source('public', 'user_domain') }} + ) AS u + LEFT JOIN {{ source('public', 'user_tech_stack') }} AS uts + ON u.user_id = uts."userId" + LEFT JOIN {{ source('public', 'user_categories') }} AS uc + ON u.user_id = uc."userId" + LEFT JOIN {{ source('public', 'user_domain') }} AS ud + ON u.user_id = ud."userId" + GROUP BY u.user_id +), + +-- Overlap counts per (user, project) for each dimension +tech_overlap AS ( + SELECT + uts."userId" AS user_id, + pts."projectId" AS project_id, + count(*) AS shared_tech_stacks + FROM {{ source('public', 'user_tech_stack') }} AS uts + INNER JOIN {{ source('public', 'project_tech_stack') }} AS pts + ON uts."techStackId" = pts."techStackId" + GROUP BY uts."userId", pts."projectId" +), + +category_overlap AS ( + SELECT + uc."userId" AS user_id, + pc."projectId" AS project_id, + count(*) AS shared_categories + FROM {{ source('public', 'user_categories') }} AS uc + INNER JOIN {{ source('public', 'project_category') }} AS pc + ON uc."categoryId" = pc."categoryId" + GROUP BY uc."userId", pc."projectId" +), + +domain_overlap AS ( + SELECT + ud."userId" AS user_id, + pd."projectId" AS project_id, + count(*) AS shared_domains + FROM {{ source('public', 'user_domain') }} AS ud + INNER JOIN {{ source('public', 'project_domain') }} AS pd + ON ud."domainId" = pd."domainId" + GROUP BY ud."userId", pd."projectId" +), + +-- Merge all overlaps via UNION ALL + GROUP BY +candidate_pairs AS ( + SELECT + user_id, + project_id, + coalesce(sum(shared_tech_stacks), 0) AS shared_tech_stacks, + coalesce(sum(shared_categories), 0) AS shared_categories, + coalesce(sum(shared_domains), 0) AS shared_domains + FROM ( + SELECT + user_id, + project_id, + shared_tech_stacks, + 0 AS shared_categories, + 0 AS shared_domains + FROM tech_overlap + UNION ALL + SELECT + user_id, + project_id, + 0 AS shared_tech_stacks, + shared_categories, + 0 AS shared_domains + FROM category_overlap + UNION ALL + SELECT + user_id, + project_id, + 0 AS shared_tech_stacks, + 0 AS shared_categories, + shared_domains + FROM domain_overlap + ) AS combined + GROUP BY user_id, project_id +), + +-- Weighted preference score with active-signal normalization. +-- If a user has 0 items in a dimension, that dimension is excluded +-- and its weight is redistributed proportionally among active signals. +preference_scored AS ( + SELECT + cp.user_id, + cp.project_id, + cp.shared_tech_stacks, + cp.shared_categories, + cp.shared_domains, + -- Ratios (NULL when user has no items in that dimension) + cp.shared_tech_stacks::float / nullif(ut.total_tech_stacks, 0) AS tech_ratio, + cp.shared_categories::float / nullif(ut.total_categories, 0) AS cat_ratio, + cp.shared_domains::float / nullif(ut.total_domains, 0) AS dom_ratio, + -- Active weight sum (only dimensions the user participates in) + coalesce( + CASE WHEN ut.total_tech_stacks > 0 THEN {{ var('w_pref_tech', 0.30) }} END, 0 + ) + coalesce( + CASE WHEN ut.total_categories > 0 THEN {{ var('w_pref_category', 0.45) }} END, 0 + ) + coalesce( + CASE WHEN ut.total_domains > 0 THEN {{ var('w_pref_domain', 0.25) }} END, 0 + ) AS active_weight_sum, + -- Weighted preference score (renormalized by active weight sum) + ( + coalesce( + {{ var('w_pref_tech', 0.30) }} + * cp.shared_tech_stacks::float / nullif(ut.total_tech_stacks, 0), + 0 + ) + + coalesce( + {{ var('w_pref_category', 0.45) }} + * cp.shared_categories::float / nullif(ut.total_categories, 0), + 0 + ) + + coalesce( + {{ var('w_pref_domain', 0.25) }} + * cp.shared_domains::float / nullif(ut.total_domains, 0), + 0 + ) + ) / nullif( + coalesce( + CASE WHEN ut.total_tech_stacks > 0 THEN {{ var('w_pref_tech', 0.30) }} END, 0 + ) + coalesce( + CASE WHEN ut.total_categories > 0 THEN {{ var('w_pref_category', 0.45) }} END, 0 + ) + coalesce( + CASE WHEN ut.total_domains > 0 THEN {{ var('w_pref_domain', 0.25) }} END, 0 + ), + 0 + ) AS preference_score + FROM candidate_pairs AS cp + INNER JOIN user_totals AS ut ON cp.user_id = ut.user_id + WHERE + -- At least one shared signal + cp.shared_tech_stacks + cp.shared_categories + cp.shared_domains > 0 +), + +-- Vectors +user_vectors AS ( + SELECT + "userId" AS user_id, + vector + FROM {{ source('ml', 'embd_user') }} +), + +project_vectors AS ( + SELECT + "projectId" AS project_id, + vector + FROM {{ source('ml', 'embd_github_project') }} +), + +-- Project metadata for scoring signals +project_stats AS ( + SELECT + id AS project_id, + stars, + pushed_at + FROM {{ ref('fct_github_project') }} +), + +-- Cosine similarity on preference-filtered pairs only +similarity AS ( + SELECT + ps.user_id, + ps.project_id, + ps.preference_score, + 1 - (uv.vector <=> pv.vector) AS similarity_score + FROM preference_scored AS ps + INNER JOIN user_vectors AS uv ON ps.user_id = uv.user_id + INNER JOIN project_vectors AS pv ON ps.project_id = pv.project_id + WHERE 1 - (uv.vector <=> pv.vector) > {{ var('similarity_threshold', 0.25) }} +), + +-- Freshness: linear decay over configurable window, clamped to [0, 1] +-- Popularity: log-normalized stars, scaled to [0, 1] +max_log_stars AS ( + SELECT greatest(ln(max(stars) + 1), 1) AS val + FROM project_stats +), + +scored AS ( + SELECT + s.user_id, + s.project_id, + s.similarity_score, + s.preference_score, + greatest( + 0, + 1.0 - extract(EPOCH FROM (now() - ps.pushed_at)) + / ({{ var('freshness_decay_days', 90) }} * 86400.0) + ) AS freshness_score, + ln(ps.stars + 1) / mls.val AS popularity_score + FROM similarity AS s + INNER JOIN project_stats AS ps ON s.project_id = ps.project_id + CROSS JOIN max_log_stars AS mls +), + +-- Hybrid blend: similarity + preference + freshness + popularity +blended AS ( + SELECT + user_id, + project_id, + similarity_score, + preference_score, + freshness_score, + popularity_score, + {{ var('w_similarity', 0.40) }} * similarity_score + + {{ var('w_preference', 0.35) }} * preference_score + + {{ var('w_freshness', 0.15) }} * freshness_score + + {{ var('w_popularity', 0.10) }} * popularity_score + AS final_score, + row_number() OVER ( + PARTITION BY user_id + ORDER BY + {{ var('w_similarity', 0.40) }} * similarity_score + + {{ var('w_preference', 0.35) }} * preference_score + + {{ var('w_freshness', 0.15) }} * freshness_score + + {{ var('w_popularity', 0.10) }} * popularity_score + DESC + ) AS rn + FROM scored +) + +SELECT + user_id, + project_id, + similarity_score, + preference_score, + freshness_score, + popularity_score, + final_score, + now() AS calculated_at +FROM blended +WHERE rn <= {{ var('reco_top_n', 30) }} diff --git a/dbt/models/marts/match_user_recommendation.yml b/dbt/models/marts/match_user_recommendation.yml new file mode 100644 index 00000000..4c998ad9 --- /dev/null +++ b/dbt/models/marts/match_user_recommendation.yml @@ -0,0 +1,41 @@ +version: 2 + +models: + - name: match_user_recommendation + description: > + Hybrid personalized recommendations. Computes a continuous preference_score + measuring weighted overlap between user preferences and project attributes + (tech stacks 0.30, categories 0.45, domains 0.25), then blends it alongside + cosine similarity, freshness, and popularity into a final score. Returns + top N per user. + columns: + - name: user_id + description: "FK to the user table" + tests: + - not_null + - name: project_id + description: "FK to the project table" + tests: + - not_null + - name: similarity_score + description: "Cosine similarity between user and project embeddings (0 to 1 after threshold)" + tests: + - not_null + - name: preference_score + description: "Weighted overlap of user preferences with project attributes (0 to 1)" + tests: + - not_null + - name: freshness_score + description: "Linear decay score based on pushed_at (1 = just pushed, 0 = older than decay window)" + tests: + - not_null + - name: popularity_score + description: "Log-normalized star count scaled to 0-1" + tests: + - not_null + - name: final_score + description: "Weighted blend of similarity, preference, freshness, and popularity" + tests: + - not_null + - name: calculated_at + description: "Timestamp when the recommendation was computed" diff --git a/dbt/models/sources.yml b/dbt/models/sources.yml new file mode 100644 index 00000000..6bed1d28 --- /dev/null +++ b/dbt/models/sources.yml @@ -0,0 +1,92 @@ +version: 2 + +sources: + - name: github + schema: github + description: "Raw data ingested from GitHub via Go scrapers and Python fetchers." + tables: + - name: raw_github_project + description: "Raw project metadata (stars, forks, description) from Go scraper." + meta: + dagster: + group: ingestion + asset_key: ["github", "raw_github_project"] + - name: raw_github_readme + description: "Raw README markdown content fetched by Go fetcher binary." + meta: + dagster: + group: ingestion + asset_key: ["github", "raw_github_readme"] + - name: raw_github_topics + description: "Raw topics/tags list fetched from GitHub API." + meta: + dagster: + group: ingestion + asset_key: ["github", "raw_github_topics"] + - name: raw_github_languages + description: "Raw language breakdown stats (bytes per language)." + meta: + dagster: + group: ingestion + asset_key: ["github", "raw_github_languages"] + - name: int_github_detection + description: "Language detection results (FastText) generated by Python asset." + meta: + dagster: + group: ingestion + asset_key: ["github", "int_github_detection"] + + - name: match + schema: match + description: "AI/ML Classification and Enrichment results." + tables: + - name: project_classification + description: "LLM-generated classifications (categories, domains) for projects." + meta: + dagster: + group: classification + + - name: ml + schema: ml + description: "Machine Learning artifacts (embeddings)." + tables: + - name: embd_github_project + description: "Vector embeddings for projects (generated by Python)." + meta: + dagster: + asset_key: ["ml", "embd_github_project"] + - name: embd_user + description: "Vector embeddings for users (generated by Python)." + meta: + dagster: + asset_key: ["ml", "embd_user"] + + - name: public + schema: public + description: "Main application schema (Prisma managed)." + tables: + - name: user + description: "Registered users." + - name: tech_stack + description: "Reference table for technology stacks." + - name: user_tech_stack + description: "Join table linking users to tech stacks." + - name: user_domain + description: "Join table linking users to domains." + - name: Domain + description: "Reference table for project/user domains (PascalCase)." + - name: user_categories + description: "Join table linking users to categories." + - name: Category + description: "Reference table for project/user categories (PascalCase)." + - name: Project + description: "Public project registry synchronized from scraper data (PascalCase)." + meta: + dagster: + asset_key: ["public", "Project"] + - name: project_category + description: "Join table linking projects to categories." + - name: project_domain + description: "Join table linking projects to domains." + - name: project_tech_stack + description: "Join table linking projects to tech stacks." diff --git a/dbt/models/staging/stg_github__detection.sql b/dbt/models/staging/stg_github__detection.sql new file mode 100644 index 00000000..ec21f150 --- /dev/null +++ b/dbt/models/staging/stg_github__detection.sql @@ -0,0 +1,28 @@ +WITH source AS ( + SELECT * FROM {{ source('github', 'int_github_detection') }} +), + +cleaned AS ( + SELECT + s.id, + s.project_id::uuid AS project_id, + s.repo_url, + s.language_detected, + s.language_confidence, + s.created_at + FROM source AS s + INNER JOIN {{ ref('stg_github__project') }} AS p ON s.project_id::uuid = p.id +), + +deduped AS ( + {{ deduplicate('cleaned', 'project_id', 'created_at desc') }} +) + +SELECT + id, + project_id, + repo_url, + language_detected, + language_confidence, + created_at +FROM deduped diff --git a/dbt/models/staging/stg_github__detection.yml b/dbt/models/staging/stg_github__detection.yml new file mode 100644 index 00000000..4d22543c --- /dev/null +++ b/dbt/models/staging/stg_github__detection.yml @@ -0,0 +1,22 @@ +version: 2 + +models: + - name: stg_github__detection + description: > + Staging model for FastText language detection results. + columns: + - name: id + description: "Unique record identifier" + tests: + - unique + - not_null + - name: project_id + description: "FK to stg_github__project" + - name: repo_url + description: "Repository URL" + - name: language_detected + description: "Detected language code (e.g., 'en', 'python')" + - name: language_confidence + description: "Confidence score (0.0 - 1.0)" + - name: created_at + description: "Record creation timestamp" diff --git a/dbt/models/staging/stg_github__languages.sql b/dbt/models/staging/stg_github__languages.sql new file mode 100644 index 00000000..442d3348 --- /dev/null +++ b/dbt/models/staging/stg_github__languages.sql @@ -0,0 +1,26 @@ +WITH source AS ( + SELECT * FROM {{ source('github', 'raw_github_languages') }} +), + +cleaned AS ( + SELECT + s.id, + s.project_id::uuid AS project_id, + s.repo_url, + s.languages, + s.created_at + FROM source AS s + INNER JOIN {{ ref('stg_github__project') }} AS p ON s.project_id::uuid = p.id +), + +deduped AS ( + {{ deduplicate('cleaned', 'project_id', 'created_at desc') }} +) + +SELECT + id, + project_id, + repo_url, + languages, + created_at +FROM deduped diff --git a/dbt/models/staging/stg_github__languages.yml b/dbt/models/staging/stg_github__languages.yml new file mode 100644 index 00000000..90625627 --- /dev/null +++ b/dbt/models/staging/stg_github__languages.yml @@ -0,0 +1,20 @@ +version: 2 + +models: + - name: stg_github__languages + description: > + Staging model for detailed GitHub language statistics (bytes per language). + columns: + - name: id + description: "Unique record identifier" + tests: + - unique + - not_null + - name: project_id + description: "FK to stg_github__project" + - name: repo_url + description: "Repository URL" + - name: languages + description: "JSONB object {Language: Bytes}" + - name: created_at + description: "Record creation timestamp" diff --git a/dbt/models/staging/stg_github__project.sql b/dbt/models/staging/stg_github__project.sql new file mode 100644 index 00000000..71ee8d3a --- /dev/null +++ b/dbt/models/staging/stg_github__project.sql @@ -0,0 +1,43 @@ +WITH source AS ( + SELECT * FROM {{ source('github', 'raw_github_project') }} +), + +renamed AS ( + SELECT + id, + (data ->> 'stargazers_count')::int AS stars, + (data ->> 'forks_count')::int AS forks, + (data ->> 'open_issues_count')::int AS open_issues_count, + (data ->> 'pushed_at')::timestamp AS pushed_at, + "createdAt" AS created_at, + "updatedAt" AS updated_at, + data ->> 'name' AS name, + data ->> 'description' AS description, + data ->> 'html_url' AS url, + data ->> 'language' AS language + FROM source + WHERE + -- Filter out projects with empty descriptions (logic from core_github__extract_top_projects) + data ->> 'description' IS NOT null + AND length(trim(data ->> 'description')) > 0 + -- Filter out projects with no language (optional, but good practice if we filter by language later) + AND data ->> 'language' IS NOT null +), + +deduped AS ( + {{ deduplicate('renamed', 'url', 'created_at desc') }} +) + +SELECT + id, + name, + description, + url, + stars, + forks, + open_issues_count, + language, + pushed_at, + created_at, + updated_at +FROM deduped diff --git a/dbt/models/staging/stg_github__project.yml b/dbt/models/staging/stg_github__project.yml new file mode 100644 index 00000000..8f99b02b --- /dev/null +++ b/dbt/models/staging/stg_github__project.yml @@ -0,0 +1,35 @@ +version: 2 + +models: + - name: stg_github__project + description: > + Staging model for core GitHub project metadata. Cleans and deduplicates raw scraper output, + ensuring one record per project URL. + columns: + - name: id + description: "Unique identifier (UUID v5 derived from URL)" + tests: + - unique + - not_null + - name: name + description: "Repository name" + - name: description + description: "Repository description" + - name: url + description: "GitHub URL (deduplication key)" + tests: + - not_null + - name: stars + description: "Star count" + - name: forks + description: "Fork count" + - name: open_issues_count + description: "Number of open issues at scrape time" + - name: language + description: "Primary language as reported by GitHub" + - name: pushed_at + description: "Timestamp of the most recent push to the repository" + - name: created_at + description: "Record creation timestamp" + - name: updated_at + description: "Record update timestamp" diff --git a/dbt/models/staging/stg_github__readme.sql b/dbt/models/staging/stg_github__readme.sql new file mode 100644 index 00000000..a73ffe14 --- /dev/null +++ b/dbt/models/staging/stg_github__readme.sql @@ -0,0 +1,27 @@ +WITH source AS ( + SELECT * FROM {{ source('github', 'raw_github_readme') }} +), + +cleaned AS ( + SELECT + s.id, + s.project_id::uuid AS project_id, + s.repo_url, + s.content, + s.created_at + FROM source AS s + INNER JOIN {{ ref('stg_github__project') }} AS p ON s.project_id::uuid = p.id + WHERE s.content IS NOT null +), + +deduped AS ( + {{ deduplicate('cleaned', 'project_id', 'created_at desc') }} +) + +SELECT + id, + project_id, + repo_url, + content, + created_at +FROM deduped diff --git a/dbt/models/staging/stg_github__readme.yml b/dbt/models/staging/stg_github__readme.yml new file mode 100644 index 00000000..cc330e49 --- /dev/null +++ b/dbt/models/staging/stg_github__readme.yml @@ -0,0 +1,20 @@ +version: 2 + +models: + - name: stg_github__readme + description: > + Staging model for GitHub READMEs. Contains the raw markdown content of project READMEs. + columns: + - name: id + description: "Unique record identifier" + tests: + - unique + - not_null + - name: project_id + description: "FK to stg_github__project" + - name: repo_url + description: "Repository URL" + - name: content + description: "Raw README markdown content" + - name: created_at + description: "Record creation timestamp" diff --git a/dbt/models/staging/stg_github__topics.sql b/dbt/models/staging/stg_github__topics.sql new file mode 100644 index 00000000..4d3ae374 --- /dev/null +++ b/dbt/models/staging/stg_github__topics.sql @@ -0,0 +1,26 @@ +WITH source AS ( + SELECT * FROM {{ source('github', 'raw_github_topics') }} +), + +cleaned AS ( + SELECT + s.id, + s.project_id::uuid AS project_id, + s.repo_url, + s.topics, + s.created_at + FROM source AS s + INNER JOIN {{ ref('stg_github__project') }} AS p ON s.project_id::uuid = p.id +), + +deduped AS ( + {{ deduplicate('cleaned', 'project_id', 'created_at desc') }} +) + +SELECT + id, + project_id, + repo_url, + topics, + created_at +FROM deduped diff --git a/dbt/models/staging/stg_github__topics.yml b/dbt/models/staging/stg_github__topics.yml new file mode 100644 index 00000000..6ac82a65 --- /dev/null +++ b/dbt/models/staging/stg_github__topics.yml @@ -0,0 +1,20 @@ +version: 2 + +models: + - name: stg_github__topics + description: > + Staging model for GitHub repository topics/tags. + columns: + - name: id + description: "Unique record identifier" + tests: + - unique + - not_null + - name: project_id + description: "FK to stg_github__project" + - name: repo_url + description: "Repository URL" + - name: topics + description: "JSONB collection of topics" + - name: created_at + description: "Record creation timestamp" diff --git a/dbt/models/staging/stg_public__project.sql b/dbt/models/staging/stg_public__project.sql new file mode 100644 index 00000000..ee139062 --- /dev/null +++ b/dbt/models/staging/stg_public__project.sql @@ -0,0 +1,54 @@ +WITH projects AS ( + SELECT * FROM {{ source('public', 'Project') }} +), + +categories AS ( + SELECT + pc."projectId", + string_agg(c.name, ', ') AS categories_list + FROM {{ source('public', 'project_category') }} AS pc + INNER JOIN {{ source('public', 'Category') }} AS c ON pc."categoryId" = c.id + GROUP BY pc."projectId" +), + +domains AS ( + SELECT + pd."projectId", + string_agg(d.name, ', ') AS domains_list + FROM {{ source('public', 'project_domain') }} AS pd + INNER JOIN {{ source('public', 'Domain') }} AS d ON pd."domainId" = d.id + GROUP BY pd."projectId" +), + +tech_stacks AS ( + SELECT + pts."projectId", + string_agg(ts.name, ', ') AS tech_stack_list + FROM {{ source('public', 'project_tech_stack') }} AS pts + INNER JOIN {{ source('public', 'tech_stack') }} AS ts ON pts."techStackId" = ts.id + GROUP BY pts."projectId" +), + +readmes AS ( + SELECT + project_id, + content + FROM {{ ref('stg_github__readme') }} +) + +SELECT + p.id, + p.title, + p.description, + p."repoUrl", + p."updatedAt", + coalesce(c.categories_list, '') AS categories, + coalesce(d.domains_list, '') AS domains, + coalesce(t.tech_stack_list, '') AS tech_stack, + coalesce(r.content, '') AS readme +FROM projects AS p +LEFT JOIN categories AS c ON p.id = c."projectId" +LEFT JOIN domains AS d ON p.id = d."projectId" +LEFT JOIN tech_stacks AS t ON p.id = t."projectId" +LEFT JOIN readmes AS r ON p.id::uuid = r.project_id +WHERE p.published = true OR p.trending = true diff --git a/dbt/models/staging/stg_public__project.yml b/dbt/models/staging/stg_public__project.yml new file mode 100644 index 00000000..da0debd4 --- /dev/null +++ b/dbt/models/staging/stg_public__project.yml @@ -0,0 +1,23 @@ +version: 2 + +models: + - name: stg_public__project + description: Aggregates public projects with categories, domains, tech stacks, and readme. + columns: + - name: id + description: Project UUID + tests: [unique, not_null] + - name: title + description: Project title + - name: description + description: Project description + - name: repoUrl + description: GitHub repository URL + - name: categories + description: Comma-separated categories + - name: domains + description: Comma-separated domains + - name: tech_stack + description: Comma-separated tech stacks + - name: readme + description: README content from GitHub diff --git a/dbt/models/staging/stg_public__user.sql b/dbt/models/staging/stg_public__user.sql new file mode 100644 index 00000000..70f3a1da --- /dev/null +++ b/dbt/models/staging/stg_public__user.sql @@ -0,0 +1,8 @@ +SELECT + id AS user_id, + name, + bio, + "jobTitle" AS job_title, + experiences, + "createdAt" AS created_at +FROM {{ source('public', 'user') }} diff --git a/dbt/models/staging/stg_public__user.yml b/dbt/models/staging/stg_public__user.yml new file mode 100644 index 00000000..e647f687 --- /dev/null +++ b/dbt/models/staging/stg_public__user.yml @@ -0,0 +1,16 @@ +version: 2 + +models: + - name: stg_public__user + description: "Staging model cleaning raw user data from public.user" + columns: + - name: user_id + description: "Primary key (UUID)" + tests: + - unique + - not_null + - name: name + - name: bio + - name: job_title + - name: experiences + - name: created_at diff --git a/dbt/profiles.example.yml b/dbt/profiles.example.yml new file mode 100644 index 00000000..d63c21e0 --- /dev/null +++ b/dbt/profiles.example.yml @@ -0,0 +1,24 @@ +ost_linker: + target: local # Default target + outputs: + # Local + local: + type: postgres + host: localhost + user: localuser + password: localpwd + port: 7777 + dbname: localdb + schema: public + threads: 4 + + # Docker + docker: + type: postgres + host: dbhost + user: dbuser + password: dbpwd + port: 5432 + dbname: dbdb + schema: public + threads: 4 diff --git a/dbt/profiles.yml b/dbt/profiles.yml new file mode 100644 index 00000000..23276e93 --- /dev/null +++ b/dbt/profiles.yml @@ -0,0 +1,24 @@ +ost_linker: + target: local # Default target + outputs: + # Local + local: + type: postgres + host: "{{ env_var('POSTGRES_HOST', 'localhost') }}" + user: "{{ env_var('POSTGRES_USER', 'postgres') }}" + password: "{{ env_var('POSTGRES_PASSWORD', 'postgres') }}" + port: "{{ env_var('POSTGRES_PORT', 5433) | int }}" + dbname: "{{ env_var('POSTGRES_DB', 'ost_db') }}" + schema: public + threads: 4 + + # Docker + docker: + type: postgres + host: "{{ env_var('POSTGRES_HOST', 'db') }}" + user: "{{ env_var('POSTGRES_USER', '') }}" + password: "{{ env_var('POSTGRES_PASSWORD', '') }}" + port: "{{ env_var('POSTGRES_PORT', 5432) | int }}" + dbname: "{{ env_var('POSTGRES_DB', '') }}" + schema: public + threads: 4 \ No newline at end of file diff --git a/dbt/tests/unique_user_project_recommendation.sql b/dbt/tests/unique_user_project_recommendation.sql new file mode 100644 index 00000000..ecfaf303 --- /dev/null +++ b/dbt/tests/unique_user_project_recommendation.sql @@ -0,0 +1,8 @@ +-- Ensure no duplicate (user_id, project_id) pairs in recommendations +SELECT + user_id, + project_id, + COUNT(*) AS cnt +FROM {{ ref('match_user_recommendation') }} +GROUP BY user_id, project_id +HAVING COUNT(*) > 1 diff --git a/dbt/tests/valid_hybrid_score_bounds.sql b/dbt/tests/valid_hybrid_score_bounds.sql new file mode 100644 index 00000000..df1c82a0 --- /dev/null +++ b/dbt/tests/valid_hybrid_score_bounds.sql @@ -0,0 +1,16 @@ +-- Verify all score components are within expected [0, 1] range +SELECT + user_id, + project_id, + similarity_score, + preference_score, + freshness_score, + popularity_score, + final_score +FROM {{ ref('match_user_recommendation') }} +WHERE + similarity_score < 0 OR similarity_score > 1 + OR preference_score < 0 OR preference_score > 1 + OR freshness_score < 0 OR freshness_score > 1 + OR popularity_score < 0 OR popularity_score > 1 + OR final_score < 0 OR final_score > 1 diff --git a/docker-compose.override.yml b/docker-compose.override.yml new file mode 100644 index 00000000..2424a5c6 --- /dev/null +++ b/docker-compose.override.yml @@ -0,0 +1,44 @@ +# Dev overrides — automatically loaded by `docker compose up` +# Adds a local Postgres container and mounts local SQLite dagster.yaml. +# In staging/prod, use `docker compose -f docker-compose.yml up` to skip this file. +services: + webserver: + environment: + DATABASE_URL: postgresql://${POSTGRES_USER}:${POSTGRES_PASSWORD}@db:5432/${POSTGRES_DB} + volumes: + # Dev override: mount local SQLite dagster.yaml over the prod Postgres config + - ./dagster.yaml:/app/dagster_home/dagster.yaml + depends_on: + db: + condition: service_healthy + + daemon: + environment: + DATABASE_URL: postgresql://${POSTGRES_USER}:${POSTGRES_PASSWORD}@db:5432/${POSTGRES_DB} + volumes: + - ./dagster.yaml:/app/dagster_home/dagster.yaml + + # ============================================================================ + # DATABASE (Postgres + PGVector) — dev only + # ============================================================================ + db: + image: ankane/pgvector:v0.4.1 + container_name: ost-linker-db + restart: unless-stopped + environment: + POSTGRES_USER: ${POSTGRES_USER} + POSTGRES_PASSWORD: ${POSTGRES_PASSWORD} + POSTGRES_DB: ${POSTGRES_DB} + ports: + - "127.0.0.1:${POSTGRES_PORT:-5433}:5432" + volumes: + - postgres_data:/var/lib/postgresql/data + healthcheck: + test: ["CMD-SHELL", "pg_isready -U ${POSTGRES_USER:-postgres}"] + interval: 10s + timeout: 5s + retries: 5 + start_period: 10s + +volumes: + postgres_data: diff --git a/docker-compose.yml b/docker-compose.yml index 2947792c..31bbc562 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -1,52 +1,59 @@ -# ======================================== -# DOCKER COMPOSE - OST AI ENGINE -# ======================================== +# Shared environment variables for Dagster services +x-common-env: &common-env + DATABASE_URL: ${DATABASE_URL} + DAGSTER_HOME: /app/dagster_home + DAGSTER_STORAGE_DIR: /app/dagster_home/storage + DAGSTER_LOGS_DIR: /app/dagster_home/logs + DAGSTER_PG_URL: ${DAGSTER_PG_URL:-${DATABASE_URL}} + GITHUB_ACCESS_TOKEN: ${GITHUB_ACCESS_TOKEN} + GO_SCRAPER_PATH: /usr/local/bin/ost-scraper + GO_FETCHER_PATH: /usr/local/bin/ost-fetcher + DBT_TARGET: docker + OPENROUTER_API_KEY: ${OPENROUTER_API_KEY} + FASTTEXT_MODEL_PATH: models/lid.176.ftz + +x-common-volumes: &common-volumes + - dagster_data:/app/dagster_home + - ./src:/app/src + - ./dbt:/app/dbt + - ./scripts:/app/scripts + services: - postgres: - image: postgres:16 - container_name: ost-db - environment: - POSTGRES_PASSWORD: ${POSTGRES_PASSWORD} - POSTGRES_USER: ${POSTGRES_USER} - POSTGRES_DB: ${POSTGRES_DB} + # ============================================================================ + # DAGSTER WEBSERVER (UI + GraphQL API) + # ============================================================================ + webserver: + build: . + container_name: ost-linker-webserver + restart: unless-stopped ports: - - "7777:5432" - volumes: - - pgdata:/var/lib/postgresql/data - - dagster-daemon: - build: - context: . - container_name: dagster-daemon - env_file: - - .env - depends_on: - - postgres - volumes: - - ./config/cfg.py:/app/config/cfg.py - - ./config/cfg.yaml:/app/config/cfg.yaml - # Mount the whole dagster package for code changes and local history/logs - - ./src/:/app/src/ - # Dagster instance storage (matches src/pipeline/dagster.yaml base_dir) - - ./.dagster_home:/app/.dagster_home - command: ["dagster-daemon", "run"] + - "3000:3000" + environment: + <<: *common-env + volumes: *common-volumes + healthcheck: + test: ["CMD", "curl", "-f", "http://localhost:3000/server_info"] + interval: 30s + timeout: 5s + retries: 3 + start_period: 120s + command: ["./scripts/init.sh", "dagster-webserver", "-h", "0.0.0.0", "-p", "3000", "-w", "/app/workspace.yaml"] - dagster-webserver: - build: - context: . - container_name: dagster-webserver - env_file: - - .env + # ============================================================================ + # DAGSTER DAEMON (schedules, sensors, run queue) + # ============================================================================ + daemon: + build: . + container_name: ost-linker-daemon + restart: unless-stopped + environment: + <<: *common-env + DAGSTER_ROLE: daemon + volumes: *common-volumes depends_on: - - postgres - ports: - - "7778:3000" - volumes: - - ./config/cfg.py:/app/config/cfg.py - - ./config/cfg.yaml:/app/config/cfg.yaml - - ./src/:/app/src - - ./.dagster_home:/app/.dagster_home - command: ["dagster-webserver", "-h", "0.0.0.0", "-p", "3000"] + webserver: + condition: service_healthy + command: ["./scripts/init.sh", "dagster-daemon", "run", "-w", "/app/workspace.yaml"] volumes: - pgdata: \ No newline at end of file + dagster_data: diff --git a/docs b/docs new file mode 160000 index 00000000..e91cde8e --- /dev/null +++ b/docs @@ -0,0 +1 @@ +Subproject commit e91cde8e36b514ac89f88c0845d2d9fd580f2620 diff --git a/docs/README.md b/docs/README.md deleted file mode 100644 index f451460a..00000000 --- a/docs/README.md +++ /dev/null @@ -1 +0,0 @@ -> **Note:** This documentation is currently internal to the OST team and not intended for public use. diff --git a/docs/ai/README.md b/docs/ai/README.md deleted file mode 100644 index 2818ebd9..00000000 --- a/docs/ai/README.md +++ /dev/null @@ -1,3 +0,0 @@ -# OST AI Engine Docs - -Mintlify documentation about setup, deployment, structure & troubleshooting of the OST AI-Engine. diff --git a/docs/ai/deployment.mdx b/docs/ai/deployment.mdx deleted file mode 100644 index d8821e72..00000000 --- a/docs/ai/deployment.mdx +++ /dev/null @@ -1,23 +0,0 @@ -# Deployment - -## Database -```bash -docker compose up -d -``` - -## Prisma (migrations) -```bash -cd prisma -npx prisma migrate deploy -``` - -## Dagster & Pipelines -```bash -export DAGSTER_HOME="$PWD/src/dagster" -poetry run dagster dev -m src.dagster.definitions --host 127.0.0.1 --port 3000 -``` - -Dagster UI: [http://localhost:3000](http://localhost:3000) - -The `github_scraper_job` runs every 6 hours (cron: `6 * * * *`). -Go scrapers are integrated as Dagster assets and run automatically. No DevOps action needed. diff --git a/docs/ai/devops_guide.mdx b/docs/ai/devops_guide.mdx deleted file mode 100644 index b35f0a2d..00000000 --- a/docs/ai/devops_guide.mdx +++ /dev/null @@ -1,57 +0,0 @@ - -# DevOps Guide - -OST AI Engine is a technical platform for data orchestration and analysis. This guide explains how to set up, deploy, and monitor the platform. - -## Environment Variables -| Variable | Description | Example | -|-----------------------|-----------------------------|---------| -| DATABASE_URL | PostgreSQL connection URL | postgresql://db_user:db_password@localhost:ports/db_name | -| POSTGRES_DB | Database name | db_name | -| POSTGRES_USER | Database user | db_user | -| POSTGRES_PASSWORD | Database password | db_password | -| GITHUB_ACCESS_TOKEN | GitHub API token | your_github_access_token_here | -| GITLAB_ACCESS_TOKEN | GitLab API token | your_gitlab_access_token_here | - -## Project Structure -```text -src/ - dagster/ - assets.py - dagster.yaml - definitions.py - config/ - config.py - github_mapping.py - local.yaml - prod.yaml - infrastructure/ - services/ - go/ - github/ - go.mod - main.go - main_test.go - gitlab/ - go.mod - main.go - main_test.go -prisma/ - schema.prisma - migrations/ - seed/ -docs/ - ai/*.mdx -``` - -## Example Python Dockerfile -```dockerfile -FROM python:3.13-slim -WORKDIR /app -COPY pyproject.toml poetry.lock ./ -RUN pip install poetry && poetry install --no-root -COPY src/ src/ -COPY .env.local .env.local -ENV DAGSTER_HOME=/app/src/dagster -CMD ["poetry", "run", "dagster", "dev", "-m", "src.dagster.definitions", "--host", "0.0.0.0", "--port", "3000"] -``` diff --git a/docs/ai/installation.mdx b/docs/ai/installation.mdx deleted file mode 100644 index 62e85ccb..00000000 --- a/docs/ai/installation.mdx +++ /dev/null @@ -1,30 +0,0 @@ -# Installation - -## Requirements -- OS: Linux, macOS, Windows -- Python = 3.13.7 -- Go >= 1.20 -- Node.js (for Prisma) -- Docker - -## Environment Variables -Copy `.env.example` to `.env.local` and fill in: - -```ini -POSTGRES_DB=db_name -POSTGRES_USER=db_user -POSTGRES_PASSWORD=db_password -DATABASE_URL=postgresql://:@localhost:port/ - -GITHUB_ACCESS_TOKEN=your_github_access_token_here -GITLAB_ACCESS_TOKEN=your_gitlab_access_token_here -``` - -## Install Dependencies -```bash -poetry install -go mod tidy ./src/infrastructure/services/go/github -go mod tidy ./src/infrastructure/services/go/gitlab -cd prisma -npm install -``` diff --git a/docs/ai/overview.mdx b/docs/ai/overview.mdx deleted file mode 100644 index b6f0c176..00000000 --- a/docs/ai/overview.mdx +++ /dev/null @@ -1,11 +0,0 @@ - -# OST AI Engine Documentation - -Welcome to the technical documentation for the OST AI Engine project ! - -## Table of Contents -- [Installation](installation.mdx) -- [Deployment](deployment.mdx) -- [DevOps Guide](devops_guide.mdx) -- [Project Structure](structure.mdx) -- [Troubleshooting](troubleshooting.mdx) \ No newline at end of file diff --git a/docs/ai/structure.mdx b/docs/ai/structure.mdx deleted file mode 100644 index 3ffd9332..00000000 --- a/docs/ai/structure.mdx +++ /dev/null @@ -1,21 +0,0 @@ -# Project Structure - -- `src/dagster`: Orchestration, assets, configuration -- `src/infrastructure/services/go`: GitHub/GitLab scrapers (Go) -- `prisma`: Database modeling, migrations -- `docs`: Technical documentation -- `.env.local`: Environment variables -- `docker-compose.yml`: Service deployment - -## Dagster structure Overview - -- `src/dagster/assets.py`: Contains the definitions of Dagster assets. Assets represent the main data objects and transformations in your pipelines, such as data extraction, processing, and loading steps. -- `src/dagster/definitions.py`: Central file for Dagster jobs, schedules, and sensors. This is where you register all assets, set up pipeline schedules (e.g., cron jobs), and define event-based triggers. -- `src/dagster/dagster.yaml`: Main configuration file for Dagster. Controls settings like logging, storage, and execution environments for your pipelines. -- `src/dagster/config/`: Folder for configuration and mapping files: - - `config.py`: Python module to load, validate, and manage configuration settings for pipelines and assets. - - `github_mapping.py`: Contains logic to map GitHub repositories or data to pipeline assets, useful for customizing how GitHub data is processed. - - `local.yaml` / `prod.yaml`: YAML files for environment-specific configuration (local development vs. production deployment). These files store secrets, database URLs, and other environment variables. -- `__pycache__/`: Python cache files generated automatically; safe to ignore. - -The `src/dagster` folder is the core of orchestration for all data workflows. It manages pipeline definitions, asset registration, configuration, and environment separation. To add or update a pipeline, create or edit assets in `assets.py`, register them in `definitions.py`, and adjust settings in the config files as needed. Schedules and sensors in `definitions.py` automate pipeline runs and event handling. \ No newline at end of file diff --git a/docs/ai/troubleshooting.mdx b/docs/ai/troubleshooting.mdx deleted file mode 100644 index b43c6e7e..00000000 --- a/docs/ai/troubleshooting.mdx +++ /dev/null @@ -1,13 +0,0 @@ -# Troubleshooting - -## Useful Commands -- View logs: `docker compose logs` -- Restart services: `docker compose restart` -- Check the database: use a PostgreSQL client -- Check Dagster jobs: use the Dagster interface - -## Common Issues -- Missing environment variables -- Port conflicts -- Prisma errors (migrations) -- Database connection problems diff --git a/docs/images/ost-chevalier.png b/docs/images/ost-chevalier.png deleted file mode 100644 index 7de9ba3a..00000000 Binary files a/docs/images/ost-chevalier.png and /dev/null differ diff --git a/docs/ost-docs b/docs/ost-docs deleted file mode 160000 index 15787073..00000000 --- a/docs/ost-docs +++ /dev/null @@ -1 +0,0 @@ -Subproject commit 157870737945c9a45fca7b215b0b45f010dd6177 diff --git a/models/README.md b/models/README.md index 99ede1ae..4d3bc5ee 100644 --- a/models/README.md +++ b/models/README.md @@ -1,26 +1,24 @@ +# Models -lid.176.ftz — FastText language identification model -=============================================== +Binary model artifacts needed by the pipeline. **Not tracked in git** — downloaded at build time or manually. -What -- A pre-trained FastText language identification model (the "lid.176" model supporting 176 languages). +## lid.176.ftz -Why it's in this repo -- The pipeline uses this model to detect the language of repository content and other text assets so it can tag, filter, or route data correctly during processing. +FastText language identification model (176 languages). -Where it's used -- Loaded by `src/pipeline/assets/core/assets.py` (calls `fasttext.load_model`); the default path in code is `/app/models/lid.176.ftz` and can be overridden via the `fasttext_model_path` configuration key. +**Used by:** `FastTextModelResource` (`src/linker/resources/fasttext_resource.py`) +**Config:** `FASTTEXT_MODEL_PATH` env var (default: `models/lid.176.ftz`) -How to update or replace the file -- Download the official model from fastText (see: https://fasttext.cc/docs/en/language-identification.html). The file to use is typically named `lid.176.ftz`. -- Place the file at `models/lid.176.ftz` in the project root (or point `fasttext_model_path` in your config to another location). -- Restart the pipeline/Dagster worker to pick up the new model. +### Download -Quick example -- Python: - from fasttext import load_model - m = load_model("models/lid.176.ftz") - lang = m.predict("some text")[0][0].replace("__label__","") +```bash +curl -o models/lid.176.ftz https://dl.fbaipublicfiles.com/fasttext/supervised-models/lid.176.ftz +``` -Notes -- This is a binary model artifact; keep large model files out of git (see `.gitignore` — `models/*`). +### Usage + +```python +from fasttext import load_model +m = load_model("models/lid.176.ftz") +lang = m.predict("some text")[0][0].replace("__label__", "") +``` diff --git a/models/lid.176.ftz b/models/lid.176.ftz deleted file mode 100644 index 1fb85b35..00000000 Binary files a/models/lid.176.ftz and /dev/null differ diff --git a/poetry.lock b/poetry.lock deleted file mode 100644 index c158417a..00000000 --- a/poetry.lock +++ /dev/null @@ -1,4960 +0,0 @@ -# This file is automatically @generated by Poetry 2.1.3 and should not be changed by hand. - 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b/prisma/.env.example deleted file mode 100644 index 129eaf18..00000000 --- a/prisma/.env.example +++ /dev/null @@ -1,28 +0,0 @@ -# ============================================================================ -# OST AI ENGINE - ENVIRONMENT CONFIGURATION -# ============================================================================ -# -# Minimal environment variables required for OST AI Engine -# Copy this file to .env.local and update the values for your environment. -# -# Quick Start: -# 1. cp .env.example .env.local -# 2. Update GITHUB_ACCESS_TOKEN and GITLAB_ACCESS_TOKEN below -# 3. Run: docker compose up -d -# 4. Access Dagster UI: http://localhost:3000 - -OST_CONFIG_PATH="config/cfg.example.yaml" - -# ======================================== -# DATABASE -# ======================================== -POSTGRES_DB=ai-engine -POSTGRES_USER=ai-engine -POSTGRES_PASSWORD=ai-engine -DATABASE_URL=postgresql://ai-engine:ai-engine@localhost:7777/ai-engine - -# ======================================== -# API KEYS -# ======================================== -GITHUB_ACCESS_TOKEN=your_github_access_token_here -GITLAB_ACCESS_TOKEN=your_gitlab_access_token_here \ No newline at end of file diff --git a/prisma/migrations/20250918122835_add_github_lab_username_id/migration.sql b/prisma/migrations/20250918122835_add_github_lab_username_id/migration.sql new file mode 100644 index 00000000..1b7c50d0 --- /dev/null +++ b/prisma/migrations/20250918122835_add_github_lab_username_id/migration.sql @@ -0,0 +1,26 @@ +/* + Warnings: + + - A unique constraint covering the columns `[githubUsername]` on the table `user` will be added. If there are existing duplicate values, this will fail. + - A unique constraint covering the columns `[gitlabUsername]` on the table `user` will be added. If there are existing duplicate values, this will fail. + - A unique constraint covering the columns `[githubId]` on the table `user` will be added. If there are existing duplicate values, this will fail. + - A unique constraint covering the columns `[gitlabId]` on the table `user` will be added. If there are existing duplicate values, this will fail. + +*/ +-- AlterTable +ALTER TABLE "public"."user" ADD COLUMN "githubId" TEXT, +ADD COLUMN "githubUsername" TEXT, +ADD COLUMN "gitlabId" TEXT, +ADD COLUMN "gitlabUsername" TEXT; + +-- CreateIndex +CREATE UNIQUE INDEX "user_githubUsername_key" ON "public"."user"("githubUsername"); + +-- CreateIndex +CREATE UNIQUE INDEX "user_gitlabUsername_key" ON "public"."user"("gitlabUsername"); + +-- CreateIndex +CREATE UNIQUE INDEX "user_githubId_key" ON "public"."user"("githubId"); + +-- CreateIndex +CREATE UNIQUE INDEX "user_gitlabId_key" ON "public"."user"("gitlabId"); diff --git a/prisma/migrations/20250929112743_add_projects/migration.sql b/prisma/migrations/20250929112743_add_projects/migration.sql new file mode 100644 index 00000000..b7f67654 --- /dev/null +++ b/prisma/migrations/20250929112743_add_projects/migration.sql @@ -0,0 +1,44 @@ +-- CreateEnum +CREATE TYPE "public"."Provider" AS ENUM ('GITHUB', 'GITLAB'); + +-- CreateTable +CREATE TABLE "public"."project_tech_stack" ( + "id" UUID NOT NULL DEFAULT uuid_generate_v4(), + "projectId" UUID NOT NULL, + "techStackId" UUID NOT NULL, + "createdAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP, + + CONSTRAINT "project_tech_stack_pkey" PRIMARY KEY ("id") +); + +-- CreateTable +CREATE TABLE "public"."Project" ( + "id" UUID NOT NULL DEFAULT uuid_generate_v4(), + "title" TEXT NOT NULL, + "description" TEXT, + "repoUrl" TEXT, + "provider" "public"."Provider" NOT NULL, + "githubUrl" TEXT, + "twitterUrl" TEXT, + "linkedinUrl" TEXT, + "discordUrl" TEXT, + "websiteUrl" TEXT, + "ownerId" UUID, + "image" TEXT, + "createdAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP, + "updatedAt" TIMESTAMP(3) NOT NULL, + + CONSTRAINT "Project_pkey" PRIMARY KEY ("id") +); + +-- CreateIndex +CREATE UNIQUE INDEX "project_tech_stack_projectId_techStackId_key" ON "public"."project_tech_stack"("projectId", "techStackId"); + +-- AddForeignKey +ALTER TABLE "public"."project_tech_stack" ADD CONSTRAINT "project_tech_stack_projectId_fkey" FOREIGN KEY ("projectId") REFERENCES "public"."Project"("id") ON DELETE CASCADE ON UPDATE CASCADE; + +-- AddForeignKey +ALTER TABLE "public"."project_tech_stack" ADD CONSTRAINT "project_tech_stack_techStackId_fkey" FOREIGN KEY ("techStackId") REFERENCES "public"."tech_stack"("id") ON DELETE CASCADE ON UPDATE CASCADE; + +-- AddForeignKey +ALTER TABLE "public"."Project" ADD CONSTRAINT "Project_ownerId_fkey" FOREIGN KEY ("ownerId") REFERENCES "public"."user"("id") ON DELETE CASCADE ON UPDATE CASCADE; diff --git a/prisma/migrations/20250929112933_add_project_category/migration.sql b/prisma/migrations/20250929112933_add_project_category/migration.sql new file mode 100644 index 00000000..73c933b9 --- /dev/null +++ b/prisma/migrations/20250929112933_add_project_category/migration.sql @@ -0,0 +1,31 @@ +-- CreateTable +CREATE TABLE "public"."Category" ( + "id" UUID NOT NULL DEFAULT uuid_generate_v4(), + "name" TEXT NOT NULL, + "createdAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP, + "updatedAt" TIMESTAMP(3) NOT NULL, + + CONSTRAINT "Category_pkey" PRIMARY KEY ("id") +); + +-- CreateTable +CREATE TABLE "public"."project_category" ( + "id" UUID NOT NULL DEFAULT uuid_generate_v4(), + "projectId" UUID NOT NULL, + "categoryId" UUID NOT NULL, + "createdAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP, + + CONSTRAINT "project_category_pkey" PRIMARY KEY ("id") +); + +-- CreateIndex +CREATE UNIQUE INDEX "Category_name_key" ON "public"."Category"("name"); + +-- CreateIndex +CREATE UNIQUE INDEX "project_category_projectId_categoryId_key" ON "public"."project_category"("projectId", "categoryId"); + +-- AddForeignKey +ALTER TABLE "public"."project_category" ADD CONSTRAINT "project_category_projectId_fkey" FOREIGN KEY ("projectId") REFERENCES "public"."Project"("id") ON DELETE CASCADE ON UPDATE CASCADE; + +-- AddForeignKey +ALTER TABLE "public"."project_category" ADD CONSTRAINT "project_category_categoryId_fkey" FOREIGN KEY ("categoryId") REFERENCES "public"."Category"("id") ON DELETE CASCADE ON UPDATE CASCADE; diff --git a/prisma/migrations/20250930140337_add_project_key_goal_features/migration.sql b/prisma/migrations/20250930140337_add_project_key_goal_features/migration.sql new file mode 100644 index 00000000..dac9745b --- /dev/null +++ b/prisma/migrations/20250930140337_add_project_key_goal_features/migration.sql @@ -0,0 +1,11 @@ +/* + Warnings: + + - You are about to drop the column `githubUrl` on the `Project` table. All the data in the column will be lost. + +*/ +-- AlterTable +ALTER TABLE "public"."Project" DROP COLUMN "githubUrl", +ADD COLUMN "keyfeatures" TEXT[], +ADD COLUMN "projectGoals" TEXT[], +ADD COLUMN "published" BOOLEAN NOT NULL DEFAULT false; diff --git a/prisma/migrations/20251001111421_edit_project_add_images/migration.sql b/prisma/migrations/20251001111421_edit_project_add_images/migration.sql new file mode 100644 index 00000000..87e0d7f7 --- /dev/null +++ b/prisma/migrations/20251001111421_edit_project_add_images/migration.sql @@ -0,0 +1,10 @@ +/* + Warnings: + + - You are about to drop the column `image` on the `Project` table. All the data in the column will be lost. + +*/ +-- AlterTable +ALTER TABLE "public"."Project" DROP COLUMN "image", +ADD COLUMN "imagesUrls" TEXT[], +ADD COLUMN "logoUrl" TEXT; diff --git a/prisma/migrations/20251006095547_add_gitlab_url/migration.sql b/prisma/migrations/20251006095547_add_gitlab_url/migration.sql new file mode 100644 index 00000000..b66df390 --- /dev/null +++ b/prisma/migrations/20251006095547_add_gitlab_url/migration.sql @@ -0,0 +1,2 @@ +-- AlterTable +ALTER TABLE "public"."user" ADD COLUMN "gitlabUrl" TEXT; diff --git a/prisma/migrations/20251009194659_update_project_add_git_repo_urls/migration.sql b/prisma/migrations/20251009194659_update_project_add_git_repo_urls/migration.sql new file mode 100644 index 00000000..aff52ab2 --- /dev/null +++ b/prisma/migrations/20251009194659_update_project_add_git_repo_urls/migration.sql @@ -0,0 +1,12 @@ +/* + Warnings: + + - You are about to drop the column `keyfeatures` on the `Project` table. All the data in the column will be lost. + - You are about to drop the column `projectGoals` on the `Project` table. All the data in the column will be lost. + +*/ +-- AlterTable +ALTER TABLE "public"."Project" DROP COLUMN "keyfeatures", +DROP COLUMN "projectGoals", +ADD COLUMN "githubUrl" TEXT, +ADD COLUMN "gitlabUrl" TEXT; diff --git a/prisma/migrations/20251012124053_init/migration.sql b/prisma/migrations/20251012124053_init/migration.sql deleted file mode 100644 index 9cd29089..00000000 --- a/prisma/migrations/20251012124053_init/migration.sql +++ /dev/null @@ -1,107 +0,0 @@ -/* - Warnings: - - - A unique constraint covering the columns `[githubUsername]` on the table `user` will be added. If there are existing duplicate values, this will fail. - - A unique constraint covering the columns `[gitlabUsername]` on the table `user` will be added. If there are existing duplicate values, this will fail. - - A unique constraint covering the columns `[githubId]` on the table `user` will be added. If there are existing duplicate values, this will fail. - - A unique constraint covering the columns `[gitlabId]` on the table `user` will be added. If there are existing duplicate values, this will fail. - -*/ --- CreateEnum -CREATE TYPE "Provider" AS ENUM ('GITHUB', 'GITLAB'); - --- AlterTable -ALTER TABLE "user" ADD COLUMN "githubId" TEXT, -ADD COLUMN "githubUsername" TEXT, -ADD COLUMN "gitlabId" TEXT, -ADD COLUMN "gitlabUrl" TEXT, -ADD COLUMN "gitlabUsername" TEXT; - --- CreateTable -CREATE TABLE "project_tech_stack" ( - "id" UUID NOT NULL DEFAULT uuid_generate_v4(), - "projectId" UUID NOT NULL, - "techStackId" UUID NOT NULL, - "createdAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP, - - CONSTRAINT "project_tech_stack_pkey" PRIMARY KEY ("id") -); - --- CreateTable -CREATE TABLE "Category" ( - "id" UUID NOT NULL DEFAULT uuid_generate_v4(), - "name" TEXT NOT NULL, - "createdAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP, - "updatedAt" TIMESTAMP(3) NOT NULL, - - CONSTRAINT "Category_pkey" PRIMARY KEY ("id") -); - --- CreateTable -CREATE TABLE "project_category" ( - "id" UUID NOT NULL DEFAULT uuid_generate_v4(), - "projectId" UUID NOT NULL, - "categoryId" UUID NOT NULL, - "createdAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP, - - CONSTRAINT "project_category_pkey" PRIMARY KEY ("id") -); - --- CreateTable -CREATE TABLE "Project" ( - "id" UUID NOT NULL DEFAULT uuid_generate_v4(), - "title" TEXT NOT NULL, - "description" TEXT, - "repoUrl" TEXT, - "provider" "Provider" NOT NULL, - "githubUrl" TEXT, - "gitlabUrl" TEXT, - "twitterUrl" TEXT, - "linkedinUrl" TEXT, - "discordUrl" TEXT, - "websiteUrl" TEXT, - "published" BOOLEAN NOT NULL DEFAULT false, - "ownerId" UUID, - "logoUrl" TEXT, - "imagesUrls" TEXT[], - "createdAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP, - "updatedAt" TIMESTAMP(3) NOT NULL, - - CONSTRAINT "Project_pkey" PRIMARY KEY ("id") -); - --- CreateIndex -CREATE UNIQUE INDEX "project_tech_stack_projectId_techStackId_key" ON "project_tech_stack"("projectId", "techStackId"); - --- CreateIndex -CREATE UNIQUE INDEX "Category_name_key" ON "Category"("name"); - --- CreateIndex -CREATE UNIQUE INDEX "project_category_projectId_categoryId_key" ON "project_category"("projectId", "categoryId"); - --- CreateIndex -CREATE UNIQUE INDEX "user_githubUsername_key" ON "user"("githubUsername"); - --- CreateIndex -CREATE UNIQUE INDEX "user_gitlabUsername_key" ON "user"("gitlabUsername"); - --- CreateIndex -CREATE UNIQUE INDEX "user_githubId_key" ON "user"("githubId"); - --- CreateIndex -CREATE UNIQUE INDEX "user_gitlabId_key" ON "user"("gitlabId"); - --- AddForeignKey -ALTER TABLE "project_tech_stack" ADD CONSTRAINT "project_tech_stack_projectId_fkey" FOREIGN KEY ("projectId") REFERENCES "Project"("id") ON DELETE CASCADE ON UPDATE CASCADE; - --- AddForeignKey -ALTER TABLE "project_tech_stack" ADD CONSTRAINT "project_tech_stack_techStackId_fkey" FOREIGN KEY ("techStackId") REFERENCES "tech_stack"("id") ON DELETE CASCADE ON UPDATE CASCADE; - --- AddForeignKey -ALTER TABLE "project_category" ADD CONSTRAINT "project_category_projectId_fkey" FOREIGN KEY ("projectId") REFERENCES "Project"("id") ON DELETE CASCADE ON UPDATE CASCADE; - --- AddForeignKey -ALTER TABLE "project_category" ADD CONSTRAINT "project_category_categoryId_fkey" FOREIGN KEY ("categoryId") REFERENCES "Category"("id") ON DELETE CASCADE ON UPDATE CASCADE; - --- AddForeignKey -ALTER TABLE "Project" ADD CONSTRAINT "Project_ownerId_fkey" FOREIGN KEY ("ownerId") REFERENCES "user"("id") ON DELETE CASCADE ON UPDATE CASCADE; diff --git a/prisma/migrations/20251028171306_add_user_categories/migration.sql b/prisma/migrations/20251028171306_add_user_categories/migration.sql new file mode 100644 index 00000000..ac68892c --- /dev/null +++ b/prisma/migrations/20251028171306_add_user_categories/migration.sql @@ -0,0 +1,18 @@ +-- CreateTable +CREATE TABLE "public"."user_categories" ( + "id" UUID NOT NULL DEFAULT uuid_generate_v4(), + "userId" UUID NOT NULL, + "categoryId" UUID NOT NULL, + "createdAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP, + + CONSTRAINT "user_categories_pkey" PRIMARY KEY ("id") +); + +-- CreateIndex +CREATE UNIQUE INDEX "user_categories_userId_categoryId_key" ON "public"."user_categories"("userId", "categoryId"); + +-- AddForeignKey +ALTER TABLE "public"."user_categories" ADD CONSTRAINT "user_categories_userId_fkey" FOREIGN KEY ("userId") REFERENCES "public"."user"("id") ON DELETE CASCADE ON UPDATE CASCADE; + +-- AddForeignKey +ALTER TABLE "public"."user_categories" ADD CONSTRAINT "user_categories_categoryId_fkey" FOREIGN KEY ("categoryId") REFERENCES "public"."Category"("id") ON DELETE CASCADE ON UPDATE CASCADE; diff --git a/prisma/migrations/20251028175223_add_user_experience/migration.sql b/prisma/migrations/20251028175223_add_user_experience/migration.sql new file mode 100644 index 00000000..f31d63cb --- /dev/null +++ b/prisma/migrations/20251028175223_add_user_experience/migration.sql @@ -0,0 +1,2 @@ +-- AlterTable +ALTER TABLE "public"."user" ADD COLUMN "experiences" JSONB; diff --git a/prisma/migrations/20251030161431_make_projecturl_unique/migration.sql b/prisma/migrations/20251030161431_make_projecturl_unique/migration.sql new file mode 100644 index 00000000..57edce22 --- /dev/null +++ b/prisma/migrations/20251030161431_make_projecturl_unique/migration.sql @@ -0,0 +1,8 @@ +/* + Warnings: + + - A unique constraint covering the columns `[repoUrl]` on the table `Project` will be added. If there are existing duplicate values, this will fail. + +*/ +-- CreateIndex +CREATE UNIQUE INDEX "Project_repoUrl_key" ON "public"."Project"("repoUrl"); diff --git a/prisma/migrations/20251101140225_add_beta_tester_bool/migration.sql b/prisma/migrations/20251101140225_add_beta_tester_bool/migration.sql new file mode 100644 index 00000000..6452fc73 --- /dev/null +++ b/prisma/migrations/20251101140225_add_beta_tester_bool/migration.sql @@ -0,0 +1,2 @@ +-- AlterTable +ALTER TABLE "public"."user" ADD COLUMN "betaTester" BOOLEAN NOT NULL DEFAULT false; diff --git a/prisma/migrations/20251101173924_add_beta_tester_table/migration.sql b/prisma/migrations/20251101173924_add_beta_tester_table/migration.sql new file mode 100644 index 00000000..c207c398 --- /dev/null +++ b/prisma/migrations/20251101173924_add_beta_tester_table/migration.sql @@ -0,0 +1,10 @@ +-- CreateTable +CREATE TABLE "public"."beta_signup" ( + "id" UUID NOT NULL DEFAULT uuid_generate_v4(), + "email" TEXT NOT NULL, + + CONSTRAINT "beta_signup_pkey" PRIMARY KEY ("id") +); + +-- CreateIndex +CREATE UNIQUE INDEX "beta_signup_email_key" ON "public"."beta_signup"("email"); diff --git a/prisma/migrations/20251121095358_add_project_bookmark/migration.sql b/prisma/migrations/20251121095358_add_project_bookmark/migration.sql new file mode 100644 index 00000000..2cfcd69b --- /dev/null +++ b/prisma/migrations/20251121095358_add_project_bookmark/migration.sql @@ -0,0 +1,18 @@ +-- CreateTable +CREATE TABLE "public"."project_bookmark" ( + "id" UUID NOT NULL DEFAULT uuid_generate_v4(), + "userId" UUID NOT NULL, + "projectId" UUID NOT NULL, + "createdAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP, + + CONSTRAINT "project_bookmark_pkey" PRIMARY KEY ("id") +); + +-- CreateIndex +CREATE UNIQUE INDEX "project_bookmark_userId_projectId_key" ON "public"."project_bookmark"("userId", "projectId"); + +-- AddForeignKey +ALTER TABLE "public"."project_bookmark" ADD CONSTRAINT "project_bookmark_userId_fkey" FOREIGN KEY ("userId") REFERENCES "public"."user"("id") ON DELETE CASCADE ON UPDATE CASCADE; + +-- AddForeignKey +ALTER TABLE "public"."project_bookmark" ADD CONSTRAINT "project_bookmark_projectId_fkey" FOREIGN KEY ("projectId") REFERENCES "public"."Project"("id") ON DELETE CASCADE ON UPDATE CASCADE; diff --git a/prisma/migrations/20251122192331_add_project_domain/migration.sql b/prisma/migrations/20251122192331_add_project_domain/migration.sql new file mode 100644 index 00000000..b35c8335 --- /dev/null +++ b/prisma/migrations/20251122192331_add_project_domain/migration.sql @@ -0,0 +1,50 @@ +-- CreateTable +CREATE TABLE "public"."user_domain" ( + "id" UUID NOT NULL DEFAULT uuid_generate_v4(), + "userId" UUID NOT NULL, + "domainId" UUID NOT NULL, + "createdAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP, + + CONSTRAINT "user_domain_pkey" PRIMARY KEY ("id") +); + +-- CreateTable +CREATE TABLE "public"."Domain" ( + "id" UUID NOT NULL DEFAULT uuid_generate_v4(), + "name" TEXT NOT NULL, + "createdAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP, + "updatedAt" TIMESTAMP(3) NOT NULL, + + CONSTRAINT "Domain_pkey" PRIMARY KEY ("id") +); + +-- CreateTable +CREATE TABLE "public"."project_domain" ( + "id" UUID NOT NULL DEFAULT uuid_generate_v4(), + "projectId" UUID NOT NULL, + "domainId" UUID NOT NULL, + "createdAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP, + + CONSTRAINT "project_domain_pkey" PRIMARY KEY ("id") +); + +-- CreateIndex +CREATE UNIQUE INDEX "user_domain_userId_domainId_key" ON "public"."user_domain"("userId", "domainId"); + +-- CreateIndex +CREATE UNIQUE INDEX "Domain_name_key" ON "public"."Domain"("name"); + +-- CreateIndex +CREATE UNIQUE INDEX "project_domain_projectId_domainId_key" ON "public"."project_domain"("projectId", "domainId"); + +-- AddForeignKey +ALTER TABLE "public"."user_domain" ADD CONSTRAINT "user_domain_userId_fkey" FOREIGN KEY ("userId") REFERENCES "public"."user"("id") ON DELETE CASCADE ON UPDATE CASCADE; + +-- AddForeignKey +ALTER TABLE "public"."user_domain" ADD CONSTRAINT "user_domain_domainId_fkey" FOREIGN KEY ("domainId") REFERENCES "public"."Domain"("id") ON DELETE CASCADE ON UPDATE CASCADE; + +-- AddForeignKey +ALTER TABLE "public"."project_domain" ADD CONSTRAINT "project_domain_projectId_fkey" FOREIGN KEY ("projectId") REFERENCES "public"."Project"("id") ON DELETE CASCADE ON UPDATE CASCADE; + +-- AddForeignKey +ALTER TABLE "public"."project_domain" ADD CONSTRAINT "project_domain_domainId_fkey" FOREIGN KEY ("domainId") REFERENCES "public"."Domain"("id") ON DELETE CASCADE ON UPDATE CASCADE; diff --git a/prisma/migrations/20260116092322_add_user_banner/migration.sql b/prisma/migrations/20260116092322_add_user_banner/migration.sql new file mode 100644 index 00000000..94984538 --- /dev/null +++ b/prisma/migrations/20260116092322_add_user_banner/migration.sql @@ -0,0 +1,2 @@ +-- AlterTable +ALTER TABLE "public"."user" ADD COLUMN "banner" TEXT; diff --git a/prisma/migrations/20260127141505_add_linker_extensions/migration.sql b/prisma/migrations/20260127141505_add_linker_extensions/migration.sql new file mode 100644 index 00000000..e98b6335 --- /dev/null +++ b/prisma/migrations/20260127141505_add_linker_extensions/migration.sql @@ -0,0 +1,155 @@ +/* + Warnings: + + - You are about to drop the `verification` table. If the table is not empty, all the data it contains will be lost. + +*/ +-- CreateSchema +CREATE SCHEMA IF NOT EXISTS "github"; + +-- CreateSchema +CREATE SCHEMA IF NOT EXISTS "match"; + +-- CreateSchema +CREATE SCHEMA IF NOT EXISTS "ml"; + +-- CreateExtension +CREATE EXTENSION IF NOT EXISTS "vector"; + +-- DropTable +DROP TABLE "verification"; + +-- CreateTable +CREATE TABLE "public"."verification_token" ( + "id" UUID NOT NULL DEFAULT uuid_generate_v4(), + "identifier" TEXT NOT NULL, + "value" TEXT NOT NULL, + "expiresAt" TIMESTAMP(3) NOT NULL, + "createdAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP, + "updatedAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP, + + CONSTRAINT "verification_token_pkey" PRIMARY KEY ("id") +); + +-- CreateTable +CREATE TABLE "public"."project_embedding" ( + "id" UUID NOT NULL DEFAULT uuid_generate_v4(), + "projectId" UUID NOT NULL, + "createdAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP, + + CONSTRAINT "project_embedding_pkey" PRIMARY KEY ("id") +); + +-- CreateTable +CREATE TABLE "match"."project_classification" ( + "id" UUID NOT NULL DEFAULT uuid_generate_v4(), + "projectId" UUID NOT NULL, + "categoryId" UUID, + "domainId" UUID, + "categoryConfidence" DOUBLE PRECISION, + "domainConfidence" DOUBLE PRECISION, + "createdAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP, + "updatedAt" TIMESTAMP(3) NOT NULL, + + CONSTRAINT "project_classification_pkey" PRIMARY KEY ("id") +); + +-- CreateTable +CREATE TABLE "github"."raw_github_readme" ( + "id" UUID NOT NULL, + "project_id" TEXT NOT NULL, + "repo_url" TEXT, + "content" TEXT, + "created_at" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP, + + CONSTRAINT "raw_github_readme_pkey" PRIMARY KEY ("id") +); + +-- CreateTable +CREATE TABLE "github"."raw_github_topics" ( + "id" UUID NOT NULL, + "project_id" TEXT NOT NULL, + "repo_url" TEXT, + "topics" JSONB, + "created_at" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP, + + CONSTRAINT "raw_github_topics_pkey" PRIMARY KEY ("id") +); + +-- CreateTable +CREATE TABLE "github"."raw_github_languages" ( + "id" UUID NOT NULL, + "project_id" TEXT NOT NULL, + "repo_url" TEXT, + "languages" JSONB, + "created_at" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP, + + CONSTRAINT "raw_github_languages_pkey" PRIMARY KEY ("id") +); + +-- CreateTable +CREATE TABLE "github"."raw_github_project" ( + "id" UUID NOT NULL, + "data" JSONB NOT NULL, + "createdAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP, + "updatedAt" TIMESTAMP(3) NOT NULL, + + CONSTRAINT "raw_github_project_pkey" PRIMARY KEY ("id") +); + +-- CreateTable +CREATE TABLE "github"."int_github_detection" ( + "id" TEXT NOT NULL, + "project_id" TEXT NOT NULL, + "repo_url" TEXT, + "language_detected" TEXT, + "language_confidence" DOUBLE PRECISION, + "created_at" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP, + + CONSTRAINT "int_github_detection_pkey" PRIMARY KEY ("id") +); + +-- CreateTable +CREATE TABLE "ml"."embd_github_project" ( + "id" UUID NOT NULL DEFAULT uuid_generate_v4(), + "projectId" UUID NOT NULL, + "vector" vector, + "createdAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP, + + CONSTRAINT "embd_github_project_pkey" PRIMARY KEY ("id") +); + +-- CreateTable +CREATE TABLE "ml"."embd_user" ( + "id" UUID NOT NULL DEFAULT uuid_generate_v4(), + "userId" UUID NOT NULL, + "vector" vector, + "createdAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP, + "updatedAt" TIMESTAMP(3) NOT NULL, + + CONSTRAINT "embd_user_pkey" PRIMARY KEY ("id") +); + +-- CreateIndex +CREATE UNIQUE INDEX "project_classification_projectId_key" ON "match"."project_classification"("projectId"); + +-- CreateIndex +CREATE UNIQUE INDEX "int_github_detection_project_id_key" ON "github"."int_github_detection"("project_id"); + +-- CreateIndex +CREATE UNIQUE INDEX "embd_github_project_projectId_key" ON "ml"."embd_github_project"("projectId"); + +-- CreateIndex +CREATE UNIQUE INDEX "embd_user_userId_key" ON "ml"."embd_user"("userId"); + +-- AddForeignKey +ALTER TABLE "public"."project_embedding" ADD CONSTRAINT "project_embedding_projectId_fkey" FOREIGN KEY ("projectId") REFERENCES "public"."Project"("id") ON DELETE CASCADE ON UPDATE CASCADE; + +-- AddForeignKey +ALTER TABLE "match"."project_classification" ADD CONSTRAINT "project_classification_projectId_fkey" FOREIGN KEY ("projectId") REFERENCES "public"."Project"("id") ON DELETE CASCADE ON UPDATE CASCADE; + +-- AddForeignKey +ALTER TABLE "match"."project_classification" ADD CONSTRAINT "project_classification_categoryId_fkey" FOREIGN KEY ("categoryId") REFERENCES "public"."Category"("id") ON DELETE SET NULL ON UPDATE CASCADE; + +-- AddForeignKey +ALTER TABLE "match"."project_classification" ADD CONSTRAINT "project_classification_domainId_fkey" FOREIGN KEY ("domainId") REFERENCES "public"."Domain"("id") ON DELETE SET NULL ON UPDATE CASCADE; diff --git a/prisma/migrations/20260305120000_fix_verification_drop_project_embedding_add_match_models/migration.sql b/prisma/migrations/20260305120000_fix_verification_drop_project_embedding_add_match_models/migration.sql new file mode 100644 index 00000000..a9c5ea03 --- /dev/null +++ b/prisma/migrations/20260305120000_fix_verification_drop_project_embedding_add_match_models/migration.sql @@ -0,0 +1,30 @@ +-- Fix: rename verification_token back to verification (align with backend) +ALTER TABLE "public"."verification_token" RENAME TO "verification"; +ALTER INDEX "verification_token_pkey" RENAME TO "verification_pkey"; + +-- Drop unused project_embedding table +ALTER TABLE "public"."project_embedding" DROP CONSTRAINT IF EXISTS "project_embedding_projectId_fkey"; +DROP TABLE IF EXISTS "public"."project_embedding"; + +-- Create match tables (dbt-managed, but Prisma needs them for type generation) +-- Using IF NOT EXISTS so this is safe regardless of dbt run order. +CREATE TABLE IF NOT EXISTS "public"."match_global_recommendation" ( + "project_id" UUID NOT NULL, + "stars" INTEGER, + "last_synced_at" TIMESTAMP(3), + + CONSTRAINT "match_global_recommendation_pkey" PRIMARY KEY ("project_id") +); + +CREATE TABLE IF NOT EXISTS "public"."match_user_recommendation" ( + "user_id" UUID NOT NULL, + "project_id" UUID NOT NULL, + "similarity_score" DOUBLE PRECISION, + "preference_score" DOUBLE PRECISION, + "freshness_score" DOUBLE PRECISION, + "popularity_score" DOUBLE PRECISION, + "final_score" DOUBLE PRECISION, + "calculated_at" TIMESTAMP(3), + + CONSTRAINT "match_user_recommendation_pkey" PRIMARY KEY ("user_id", "project_id") +); diff --git a/prisma/package-lock.json b/prisma/package-lock.json deleted file mode 100644 index 65a28a3e..00000000 --- a/prisma/package-lock.json +++ /dev/null @@ -1,430 +0,0 @@ -{ - "name": "prisma", - "lockfileVersion": 3, - "requires": true, - "packages": { - "": { - "dependencies": { - "@prisma/client": "^6.17.1" - }, - "devDependencies": { - "prisma": "^6.17.1" - } - }, - "node_modules/@prisma/client": { - "version": "6.17.1", - "resolved": 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"prisma-client-py" - interface = "sync" + provider = "prisma-client-js" binaryTargets = ["native", "linux-musl-arm64-openssl-3.0.x"] previewFeatures = ["postgresqlExtensions"] } @@ -14,17 +13,22 @@ generator client { datasource db { provider = "postgresql" url = env("DATABASE_URL") - extensions = [uuidOssp(map: "uuid-ossp")] + schemas = ["github", "public", "ml", "match"] + extensions = [uuidOssp(map: "uuid-ossp"), vector] } enum Provider { GITHUB GITLAB + + @@schema("public") } enum TechStackType { TECH LANGUAGE + + @@schema("public") } model Skeleton { @@ -34,36 +38,45 @@ model Skeleton { myAttribute String? createdAt DateTime @default(now()) updatedAt DateTime @updatedAt + + @@schema("public") } model User { - id String @id @default(dbgenerated("uuid_generate_v4()")) @db.Uuid - name String - email String - emailVerified Boolean @default(false) - image String? - createdAt DateTime @default(now()) - updatedAt DateTime @default(now()) @updatedAt - bio String? - jobTitle String? - sessions Session[] - accounts Account[] - techStacks UserTechStack[] + id String @id @default(dbgenerated("uuid_generate_v4()")) @db.Uuid + name String + email String + emailVerified Boolean @default(false) + image String? + banner String? + createdAt DateTime @default(now()) + updatedAt DateTime @default(now()) @updatedAt + bio String? + jobTitle String? + experiences Json? + sessions Session[] + accounts Account[] + techStacks UserTechStack[] // Social Links URLs - githubUrl String? - gitlabUrl String? - twitterUrl String? - linkedinUrl String? - discordUrl String? - websiteUrl String? - githubUsername String? @unique - gitlabUsername String? @unique - githubId String? @unique - gitlabId String? @unique - Project Project[] + githubUrl String? + gitlabUrl String? + twitterUrl String? + linkedinUrl String? + discordUrl String? + websiteUrl String? + githubUsername String? @unique + gitlabUsername String? @unique + githubId String? @unique + gitlabId String? @unique + Project Project[] + categories UserCategories[] + domain UserDomains[] + projectBookmark ProjectBookmark[] + betaTester Boolean @default(false) @@unique([email]) @@map("user") + @@schema("public") } model Session { @@ -79,6 +92,7 @@ model Session { @@unique([token]) @@map("session") + @@schema("public") } model Account { @@ -98,6 +112,7 @@ model Account { updatedAt DateTime @updatedAt @@map("account") + @@schema("public") } model Verification { @@ -109,6 +124,7 @@ model Verification { updatedAt DateTime @default(now()) @updatedAt @@map("verification") + @@schema("public") } model TechStack { @@ -122,6 +138,7 @@ model TechStack { ProjectTechStack ProjectTechStack[] @@map("tech_stack") + @@schema("public") } model UserTechStack { @@ -134,6 +151,33 @@ model UserTechStack { @@unique([userId, techStackId]) @@map("user_tech_stack") + @@schema("public") +} + +model UserCategories { + id String @id @default(dbgenerated("uuid_generate_v4()")) @db.Uuid + userId String @db.Uuid + categoryId String @db.Uuid + user User @relation(fields: [userId], references: [id], onDelete: Cascade) + category Category @relation(fields: [categoryId], references: [id], onDelete: Cascade) + createdAt DateTime @default(now()) + + @@unique([userId, categoryId]) + @@map("user_categories") + @@schema("public") +} + +model UserDomains { + id String @id @default(dbgenerated("uuid_generate_v4()")) @db.Uuid + userId String @db.Uuid + domainId String @db.Uuid + user User @relation(fields: [userId], references: [id], onDelete: Cascade) + domain Domain @relation(fields: [domainId], references: [id], onDelete: Cascade) + createdAt DateTime @default(now()) + + @@unique([userId, domainId]) + @@map("user_domain") + @@schema("public") } model ProjectTechStack { @@ -146,14 +190,19 @@ model ProjectTechStack { @@unique([projectId, techStackId]) @@map("project_tech_stack") + @@schema("public") } model Category { - id String @id @default(dbgenerated("uuid_generate_v4()")) @db.Uuid - name String @unique - createdAt DateTime @default(now()) - updatedAt DateTime @updatedAt - ProjectCategory ProjectCategory[] + id String @id @default(dbgenerated("uuid_generate_v4()")) @db.Uuid + name String @unique + createdAt DateTime @default(now()) + updatedAt DateTime @updatedAt + ProjectCategory ProjectCategory[] + UserCategories UserCategories[] + projectClassifications ProjectClassification[] + + @@schema("public") } model ProjectCategory { @@ -166,28 +215,208 @@ model ProjectCategory { @@unique([projectId, categoryId]) @@map("project_category") + @@schema("public") +} + +model Domain { + id String @id @default(dbgenerated("uuid_generate_v4()")) @db.Uuid + name String @unique + createdAt DateTime @default(now()) + updatedAt DateTime @updatedAt + ProjectDomain ProjectDomain[] + UserDomains UserDomains[] + projectClassifications ProjectClassification[] + + @@schema("public") +} + +model ProjectDomain { + id String @id @default(dbgenerated("uuid_generate_v4()")) @db.Uuid + projectId String @db.Uuid + domainId String @db.Uuid + project Project @relation(fields: [projectId], references: [id], onDelete: Cascade) + domain Domain @relation(fields: [domainId], references: [id], onDelete: Cascade) + createdAt DateTime @default(now()) + + @@unique([projectId, domainId]) + @@map("project_domain") + @@schema("public") +} + +model ProjectClassification { + id String @id @default(dbgenerated("uuid_generate_v4()")) @db.Uuid + projectId String @unique @db.Uuid + categoryId String? @db.Uuid + domainId String? @db.Uuid + categoryConfidence Float? + domainConfidence Float? + project Project @relation(fields: [projectId], references: [id], onDelete: Cascade) + category Category? @relation(fields: [categoryId], references: [id], onDelete: SetNull) + domain Domain? @relation(fields: [domainId], references: [id], onDelete: SetNull) + createdAt DateTime @default(now()) + updatedAt DateTime @updatedAt + + @@map("project_classification") + @@schema("match") } model Project { - id String @id @default(dbgenerated("uuid_generate_v4()")) @db.Uuid - title String - description String? - repoUrl String? - provider Provider - githubUrl String? - gitlabUrl String? - twitterUrl String? - linkedinUrl String? - discordUrl String? - websiteUrl String? - published Boolean @default(false) - trending Boolean @default(false) - techStacks ProjectTechStack[] - categories ProjectCategory[] - ownerId String? @db.Uuid - ownerOst User? @relation(fields: [ownerId], references: [id], onDelete: Cascade) - logoUrl String? - imagesUrls String[] - createdAt DateTime @default(now()) - updatedAt DateTime @updatedAt + id String @id @default(dbgenerated("uuid_generate_v4()")) @db.Uuid + title String + description String? + repoUrl String? @unique + provider Provider + githubUrl String? + gitlabUrl String? + twitterUrl String? + linkedinUrl String? + discordUrl String? + websiteUrl String? + published Boolean @default(false) + trending Boolean @default(false) + techStacks ProjectTechStack[] + categories ProjectCategory[] + domains ProjectDomain[] + ownerId String? @db.Uuid + owner User? @relation(fields: [ownerId], references: [id], onDelete: Cascade) + logoUrl String? + imagesUrls String[] + createdAt DateTime @default(now()) + updatedAt DateTime @updatedAt + projectBookmark ProjectBookmark[] + projectClassification ProjectClassification? + + @@schema("public") +} + +model ProjectBookmark { + id String @id @default(dbgenerated("uuid_generate_v4()")) @db.Uuid + userId String @db.Uuid + projectId String @db.Uuid + user User @relation(fields: [userId], references: [id], onDelete: Cascade) + project Project @relation(fields: [projectId], references: [id], onDelete: Cascade) + createdAt DateTime @default(now()) + + @@unique([userId, projectId]) + @@map("project_bookmark") + @@schema("public") +} + +model BetaSignup { + id String @id @default(dbgenerated("uuid_generate_v4()")) @db.Uuid + email String @unique + + @@map("beta_signup") + @@schema("public") +} + +// ------ MATCH (dbt-materialized, read-only from backend) ------ + +/// Global top-N project recommendations (dbt-managed table). +model MatchGlobalRecommendation { + project_id String @db.Uuid + stars Int? + last_synced_at DateTime? + + @@id([project_id]) + @@map("match_global_recommendation") + @@schema("public") +} + +/// Per-user personalized recommendations (dbt-managed table). +model MatchUserRecommendation { + user_id String @db.Uuid + project_id String @db.Uuid + similarity_score Float? + preference_score Float? + freshness_score Float? + popularity_score Float? + final_score Float? + calculated_at DateTime? + + @@id([user_id, project_id]) + @@map("match_user_recommendation") + @@schema("public") +} + +// ------ LINKER ------ +// Raw / Embedding tables, not managed by dbt + +model RawGithubReadme { + id String @id @default(uuid()) @db.Uuid + project_id String + repo_url String? + content String? + created_at DateTime @default(now()) + + @@unique([project_id]) + @@map("raw_github_readme") + @@schema("github") +} + +model RawGithubTopics { + id String @id @default(uuid()) @db.Uuid + project_id String + repo_url String? + topics Json? + created_at DateTime @default(now()) + + @@unique([project_id]) + @@map("raw_github_topics") + @@schema("github") +} + +model RawGithubLanguages { + id String @id @default(uuid()) @db.Uuid + project_id String + repo_url String? + languages Json? + created_at DateTime @default(now()) + + @@unique([project_id]) + @@map("raw_github_languages") + @@schema("github") +} + +model RawGithubProject { + id String @id @default(uuid()) @db.Uuid + data Json + createdAt DateTime @default(now()) + updatedAt DateTime @updatedAt + + @@map("raw_github_project") + @@schema("github") +} + +model IntGithubDetection { + id String @id @default(uuid()) + project_id String @unique + repo_url String? + language_detected String? + language_confidence Float? + created_at DateTime @default(now()) + + @@map("int_github_detection") + @@schema("github") +} + +model EmbdGithubProject { + id String @id @default(dbgenerated("uuid_generate_v4()")) @db.Uuid + projectId String @unique @db.Uuid + vector Unsupported("vector")? + createdAt DateTime @default(now()) + + @@map("embd_github_project") + @@schema("ml") +} + +model EmbdUser { + id String @id @default(dbgenerated("uuid_generate_v4()")) @db.Uuid + userId String @unique @db.Uuid + vector Unsupported("vector")? + createdAt DateTime @default(now()) + updatedAt DateTime @updatedAt + + @@map("embd_user") + @@schema("ml") } diff --git a/prisma/seed/categories-data.json b/prisma/seed/categories-data.json deleted file mode 100644 index 364d1eba..00000000 --- a/prisma/seed/categories-data.json +++ /dev/null @@ -1,20 +0,0 @@ -[ - { "name": "AI & Machine Learning" }, - { "name": "Web Development" }, - { "name": "Mobile Applications" }, - { "name": "DevOps & Cloud" }, - { "name": "Video Games" }, - { "name": "Blockchain & Crypto" }, - { "name": "E-commerce" }, - { "name": "Fintech" }, - { "name": "Health & Medicine" }, - { "name": "Education" }, - { "name": "Social Networks" }, - { "name": "Productivity" }, - { "name": "Security & Cybersecurity" }, - { "name": "IoT & Hardware" }, - { "name": "Data Science & Analytics" }, - { "name": "Developer Tools" }, - { "name": "API & Microservices" }, - { "name": "Open Source Tools" } -] diff --git a/prisma/seed/categories-data.ts b/prisma/seed/categories-data.ts new file mode 100644 index 00000000..90869fa6 --- /dev/null +++ b/prisma/seed/categories-data.ts @@ -0,0 +1,11 @@ +export const categoriesData = [ + { name: 'AI & Machine Learning' }, + { name: 'Web Development' }, + { name: 'Mobile Applications' }, + { name: 'DevOps & Cloud' }, + { name: 'Security & Cybersecurity' }, + { name: 'IoT & Hardware' }, + { name: 'Data Science & Analytics' }, + { name: 'Virtual Reality / Augmented Reality' }, + { name: 'Software Testing & Quality' }, +]; diff --git a/prisma/seed/domains-data.ts b/prisma/seed/domains-data.ts new file mode 100644 index 00000000..43a5cb8b --- /dev/null +++ b/prisma/seed/domains-data.ts @@ -0,0 +1,14 @@ +export const domainsData = [ + { name: 'Health & Medicine' }, + { name: 'E-commerce' }, + { name: 'Fintech' }, + { name: 'Education' }, + { name: 'Social Networks' }, + { name: 'Productivity' }, + { name: 'Blockchain & Crypto' }, + { name: 'Developer Tools' }, + { name: 'Climate & Environment' }, + { name: 'Logistics & Supply chain' }, + { name: 'Agritech' }, + { name: 'Art & Creative' } +]; diff --git a/prisma/seed/seed.py b/prisma/seed/seed.py deleted file mode 100644 index 14f143c1..00000000 --- a/prisma/seed/seed.py +++ /dev/null @@ -1,47 +0,0 @@ -from prisma import Prisma -from pathlib import Path -import json -import sys - -client = Prisma() - -def find_model(client_obj, candidates): - for name in candidates: - if hasattr(client_obj, name): - return getattr(client_obj, name) - return None - - -def main(): - p = Path(__file__).with_name("techstacks-data.json") - if not p.exists(): - print(f"Data file not found: {p}") - sys.exit(1) - - data = json.loads(p.read_text()) - - # connect the client (sync interface expected, generator uses interface = "sync") - client.connect() - try: - # Try likely model attribute names - model = find_model(client, ["tech_stack", "TechStack", "techstack"]) - if model is None: - print("Could not find TechStack model on the Prisma client. Did you run `npx prisma generate`?") - sys.exit(1) - - print("Seeding tech stacks...") - for t in data: - where = {"name": t["name"]} - update = {"iconUrl": t["iconUrl"], "type": t["type"]} - create = {"name": t["name"], "iconUrl": t["iconUrl"], "type": t["type"]} - - # Upsert using the model - model.upsert(where=where, data={"create": create, "update": update}) - - print(f"✅ Seeded {len(data)} tech stacks") - finally: - client.disconnect() - - -if __name__ == "__main__": - main() diff --git a/prisma/seed/seed.ts b/prisma/seed/seed.ts new file mode 100644 index 00000000..57e8ca84 --- /dev/null +++ b/prisma/seed/seed.ts @@ -0,0 +1,141 @@ +import { PrismaClient } from '@prisma/client'; +import { techStacksData } from './techstacks-data'; +import { categoriesData } from './categories-data'; +import { domainsData } from './domains-data'; +import { testUsersData } from './users-data'; + +const prisma = new PrismaClient(); + +async function seed() { + console.log('Seeding tech stacks...'); + + for (const techStack of techStacksData) { + await prisma.techStack.upsert({ + where: { name: techStack.name }, + update: { + iconUrl: techStack.iconUrl, + type: techStack.type, + }, + create: { + name: techStack.name, + iconUrl: techStack.iconUrl, + type: techStack.type, + }, + }); + } + console.log(`✅ Seeded ${techStacksData.length} tech stacks`); + + console.log('Seeding categories...'); + for (const category of categoriesData) { + await prisma.category.upsert({ + where: { name: category.name }, + update: {}, + create: { + name: category.name, + }, + }); + } + console.log(`✅ Seeded ${categoriesData.length} categories`); + + console.log('Seeding domains...'); + for (const domain of domainsData) { + await prisma.domain.upsert({ + where: { name: domain.name }, + update: {}, + create: { + name: domain.name, + }, + }); + } + console.log(`✅ Seeded ${domainsData.length} domains`); + + // --- Test Users --- + console.log('Seeding test users...'); + + // Build lookup maps: name -> id + const allTechStacks = await prisma.techStack.findMany(); + const tsMap = new Map(allTechStacks.map((t) => [t.name, t.id])); + + const allCategories = await prisma.category.findMany(); + const catMap = new Map(allCategories.map((c) => [c.name, c.id])); + + const allDomains = await prisma.domain.findMany(); + const domMap = new Map(allDomains.map((d) => [d.name, d.id])); + + for (const userData of testUsersData) { + const user = await prisma.user.upsert({ + where: { email: userData.email }, + update: { + name: userData.name, + bio: userData.bio, + jobTitle: userData.jobTitle, + }, + create: { + name: userData.name, + email: userData.email, + bio: userData.bio, + jobTitle: userData.jobTitle, + }, + }); + + // Link tech stacks + for (const tsName of userData.techStacks) { + const tsId = tsMap.get(tsName); + if (!tsId) { + console.warn(` ⚠ Tech stack "${tsName}" not found, skipping`); + continue; + } + await prisma.userTechStack.upsert({ + where: { userId_techStackId: { userId: user.id, techStackId: tsId } }, + update: {}, + create: { userId: user.id, techStackId: tsId }, + }); + } + + // Link categories + for (const catName of userData.categories) { + const catId = catMap.get(catName); + if (!catId) { + console.warn(` ⚠ Category "${catName}" not found, skipping`); + continue; + } + await prisma.userCategories.upsert({ + where: { userId_categoryId: { userId: user.id, categoryId: catId } }, + update: {}, + create: { userId: user.id, categoryId: catId }, + }); + } + + // Link domains + for (const domName of userData.domains) { + const domId = domMap.get(domName); + if (!domId) { + console.warn(` ⚠ Domain "${domName}" not found, skipping`); + continue; + } + await prisma.userDomains.upsert({ + where: { userId_domainId: { userId: user.id, domainId: domId } }, + update: {}, + create: { userId: user.id, domainId: domId }, + }); + } + + console.log(` ✅ ${userData.name} (${userData.techStacks.length} techs, ${userData.categories.length} cats, ${userData.domains.length} doms)`); + } + + console.log(`✅ Seeded ${testUsersData.length} test users`); +} + +async function main() { + await seed(); +} + +main() + .then(async () => { + await prisma.$disconnect(); + }) + .catch(async (e) => { + console.error(e); + await prisma.$disconnect(); + process.exit(1); + }); diff --git a/prisma/seed/techstacks-data.json b/prisma/seed/techstacks-data.json deleted file mode 100644 index e54e2442..00000000 --- a/prisma/seed/techstacks-data.json +++ /dev/null @@ -1,362 +0,0 @@ -[ - { - "name": "React", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/react/react-original.svg", - "type": "TECH" - }, - { - "name": "Next.js", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/nextjs/nextjs-original.svg", - "type": "TECH" - }, - { - "name": "Angular", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/angularjs/angularjs-original.svg", - "type": "TECH" - }, - { - "name": "Vue.js", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/vuejs/vuejs-original.svg", - "type": "TECH" - }, - { - "name": "Node.js", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/nodejs/nodejs-original.svg", - "type": "TECH" - }, - { - "name": "Express", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/express/express-original.svg", - "type": "TECH" - }, - { - "name": "Nest.js", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/nestjs/nestjs-original.svg", - "type": "TECH" - }, - { - "name": "Fastify", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/fastify/fastify-original.svg", - "type": "TECH" - }, - { - "name": "Flutter", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/flutter/flutter-original.svg", - "type": "TECH" - }, - { - "name": "Svelte", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/svelte/svelte-original.svg", - "type": "TECH" - }, - { - "name": "Prisma", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/prisma/prisma-original.svg", - "type": "TECH" - }, - { - "name": "Django", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/django/django-plain.svg", - "type": "TECH" - }, - { - "name": "Flask", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/flask/flask-original.svg", - "type": "TECH" - }, - { - "name": "Spring Boot", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/spring/spring-original.svg", - "type": "TECH" - }, - { - "name": "Laravel", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/laravel/laravel-original.svg", - "type": "TECH" - }, - { - "name": "Symfony", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/symfony/symfony-original.svg", - "type": "TECH" - }, - { - "name": "Rails", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/rails/rails-plain.svg", - "type": "TECH" - }, - { - "name": "ASP.NET", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/dot-net/dot-net-original.svg", - "type": "TECH" - }, - { - "name": "Qt", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/qt/qt-original.svg", - "type": "TECH" - }, - { - "name": "TypeScript", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/typescript/typescript-original.svg", - "type": "LANGUAGE" - }, - { - "name": "Go", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/go/go-original-wordmark.svg", - "type": "LANGUAGE" - }, - { - "name": "Python", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/python/python-original.svg", - "type": "LANGUAGE" - }, - { - "name": "Java", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/java/java-original.svg", - "type": "LANGUAGE" - }, - { - "name": "C#", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/csharp/csharp-original.svg", - "type": "LANGUAGE" - }, - { - "name": "PHP", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/php/php-original.svg", - "type": "LANGUAGE" - }, - { - "name": "Ruby", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/ruby/ruby-original.svg", - "type": "LANGUAGE" - }, - { - "name": "Rust", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/rust/rust-original.svg", - "type": "LANGUAGE" - }, - { - "name": "C", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/c/c-original.svg", - "type": "LANGUAGE" - }, - { - "name": "C++", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/cplusplus/cplusplus-original.svg", - "type": "LANGUAGE" - }, - { - "name": "Kotlin", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/kotlin/kotlin-original.svg", - "type": "LANGUAGE" - }, - { - "name": "Swift", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/swift/swift-original.svg", - "type": "LANGUAGE" - }, - { - "name": "Scala", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/scala/scala-original.svg", - "type": "LANGUAGE" - }, - { - "name": "Perl", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/perl/perl-original.svg", - "type": "LANGUAGE" - }, - { - "name": "Haskell", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/haskell/haskell-original.svg", - "type": "LANGUAGE" - }, - { - "name": "Elixir", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/elixir/elixir-original.svg", - "type": "LANGUAGE" - }, - { - "name": "Dart", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/dart/dart-original.svg", - "type": "LANGUAGE" - }, - { - "name": "Objective-C", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/objectivec/objectivec-plain.svg", - "type": "LANGUAGE" - }, - { - "name": "Matlab", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/matlab/matlab-original.svg", - "type": "LANGUAGE" - }, - { - "name": "R", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/r/r-original.svg", - "type": "LANGUAGE" - }, - { - "name": "Shell", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/bash/bash-original.svg", - "type": "LANGUAGE" - }, - { - "name": "MongoDB", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/mongodb/mongodb-original.svg", - "type": "TECH" - }, - { - "name": "PostgreSQL", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/postgresql/postgresql-original.svg", - "type": "TECH" - }, - { - "name": "MySQL", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/mysql/mysql-original.svg", - "type": "TECH" - }, - { - "name": "Redis", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/redis/redis-original.svg", - "type": "TECH" - }, - { - "name": "AWS", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/amazonwebservices/amazonwebservices-original-wordmark.svg", - "type": "TECH" - }, - { - "name": "GCP", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/googlecloud/googlecloud-original.svg", - "type": "TECH" - }, - { - "name": "Azure", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/microsoftazure/microsoftazure-original.svg", - "type": "TECH" - }, - { - "name": "Tailwind CSS", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/tailwindcss/tailwindcss-original.svg", - "type": "TECH" - }, - { - "name": "Docker", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/docker/docker-plain.svg", - "type": "TECH" - }, - { - "name": "Kubernetes", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/kubernetes/kubernetes-original.svg", - "type": "TECH" - }, - { - "name": "npm", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/npm/npm-original-wordmark.svg", - "type": "TECH" - }, - { - "name": "Slack", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/slack/slack-original.svg", - "type": "TECH" - }, - { - "name": "Discord API", - "iconUrl": "https://upload.wikimedia.org/wikipedia/fr/thumb/4/4f/Discord_Logo_sans_texte.svg/1818px-Discord_Logo_sans_texte.svg.png", - "type": "TECH" - }, - { - "name": "Markdown", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/markdown/markdown-original.svg", - "type": "TECH" - }, - { - "name": "Figma", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/figma/figma-original.svg", - "type": "TECH" - }, - { - "name": "Jenkins", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/jenkins/jenkins-original.svg", - "type": "TECH" - }, - { - "name": "Travis CI", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/travis/travis-plain.svg", - "type": "TECH" - }, - { - "name": "GitHub Actions", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/github/github-original.svg", - "type": "TECH" - }, - { - "name": "Webpack", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/webpack/webpack-original.svg", - "type": "TECH" - }, - { - "name": "Vite", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/vite/vite-original.svg", - "type": "TECH" - }, - { - "name": "Jest", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/jest/jest-plain.svg", - "type": "TECH" - }, - { - "name": "Mocha", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/mocha/mocha-plain.svg", - "type": "TECH" - }, - { - "name": "Cypress", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/cypressio/cypressio-original.svg", - "type": "TECH" - }, - { - "name": "GraphQL", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/graphql/graphql-plain.svg", - "type": "TECH" - }, - { - "name": "Apollo", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/apollographql/apollographql-original.svg", - "type": "TECH" - }, - { - "name": "Redux", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/redux/redux-original.svg", - "type": "TECH" - }, - { - "name": "Sass", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/sass/sass-original.svg", - "type": "TECH" - }, - { - "name": "Less", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/less/less-plain-wordmark.svg", - "type": "TECH" - }, - { - "name": "Bootstrap", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/bootstrap/bootstrap-original.svg", - "type": "TECH" - }, - { - "name": "Material-UI", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/materialui/materialui-original.svg", - "type": "TECH" - }, - { - "name": "HTML", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/html5/html5-original.svg", - "type": "LANGUAGE" - }, - { - "name": "CSS", - "iconUrl": "https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/css3/css3-original.svg", - "type": "LANGUAGE" - } -] diff --git a/prisma/seed/techstacks-data.ts b/prisma/seed/techstacks-data.ts new file mode 100644 index 00000000..b983bc30 --- /dev/null +++ b/prisma/seed/techstacks-data.ts @@ -0,0 +1,803 @@ +import { TechStackType } from '@prisma/client'; + +export const techStacksData = [ + // === LANGUAGES (Most Popular First) === + { + id: '1', + name: 'JavaScript', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/javascript/javascript-original.svg', + type: TechStackType.LANGUAGE, + }, + { + id: '2', + name: 'TypeScript', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/typescript/typescript-original.svg', + type: TechStackType.LANGUAGE, + }, + { + id: '3', + name: 'Python', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/python/python-original.svg', + type: TechStackType.LANGUAGE, + }, + { + id: '4', + name: 'Java', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/java/java-original.svg', + type: TechStackType.LANGUAGE, + }, + { + id: '5', + name: 'Go', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/go/go-original-wordmark.svg', + type: TechStackType.LANGUAGE, + }, + { + id: '6', + name: 'Rust', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/rust/rust-original.svg', + type: TechStackType.LANGUAGE, + }, + { + id: '7', + name: 'C#', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/csharp/csharp-original.svg', + type: TechStackType.LANGUAGE, + }, + { + id: '8', + name: 'PHP', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/php/php-original.svg', + type: TechStackType.LANGUAGE, + }, + { + id: '9', + name: 'Ruby', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/ruby/ruby-original.svg', + type: TechStackType.LANGUAGE, + }, + { + id: '10', + name: 'C++', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/cplusplus/cplusplus-original.svg', + type: TechStackType.LANGUAGE, + }, + { + id: '11', + name: 'C', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/c/c-original.svg', + type: TechStackType.LANGUAGE, + }, + { + id: '12', + name: 'Swift', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/swift/swift-original.svg', + type: TechStackType.LANGUAGE, + }, + { + id: '13', + name: 'Kotlin', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/kotlin/kotlin-original.svg', + type: TechStackType.LANGUAGE, + }, + { + id: '14', + name: 'Dart', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/dart/dart-original.svg', + type: TechStackType.LANGUAGE, + }, + { + id: '15', + name: 'Scala', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/scala/scala-original.svg', + type: TechStackType.LANGUAGE, + }, + { + id: '16', + name: 'Elixir', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/elixir/elixir-original.svg', + type: TechStackType.LANGUAGE, + }, + { + id: '17', + name: 'Haskell', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/haskell/haskell-original.svg', + type: TechStackType.LANGUAGE, + }, + { + id: '18', + name: 'Perl', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/perl/perl-original.svg', + type: TechStackType.LANGUAGE, + }, + { + id: '19', + name: 'Objective-C', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/objectivec/objectivec-plain.svg', + type: TechStackType.LANGUAGE, + }, + { + id: '20', + name: 'Matlab', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/matlab/matlab-original.svg', + type: TechStackType.LANGUAGE, + }, + { + id: '21', + name: 'R', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/r/r-original.svg', + type: TechStackType.LANGUAGE, + }, + { + id: '22', + name: 'Bash', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/bash/bash-original.svg', + type: TechStackType.LANGUAGE, + }, + { + id: '23', + name: 'Lua', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/lua/lua-original.svg', + type: TechStackType.LANGUAGE, + }, + { + id: '24', + name: 'LLVM', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/llvm/llvm-original.svg', + type: TechStackType.LANGUAGE, + }, + { + id: '25', + name: 'HTML', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/html5/html5-original.svg', + type: TechStackType.LANGUAGE, + }, + { + id: '26', + name: 'CSS', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/css3/css3-original.svg', + type: TechStackType.LANGUAGE, + }, + { + id: '27', + name: 'Zig', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/zig/zig-original.svg', + type: TechStackType.LANGUAGE, + }, + // === FRAMEWORKS & LIBRARIES (Most Popular First) === + { + id: '28', + name: 'React', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/react/react-original.svg', + type: TechStackType.TECH, + }, + { + id: '29', + name: 'Next.js', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/nextjs/nextjs-original.svg', + type: TechStackType.TECH, + }, + { + id: '30', + name: 'Node.js', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/nodejs/nodejs-original.svg', + type: TechStackType.TECH, + }, + { + id: '31', + name: 'Express', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/express/express-original.svg', + type: TechStackType.TECH, + }, + { + id: '32', + name: 'Vue', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/vuejs/vuejs-original.svg', + type: TechStackType.TECH, + }, + { + id: '33', + name: 'Angular', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/angularjs/angularjs-original.svg', + type: TechStackType.TECH, + }, + { + id: '34', + name: 'React Native', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/reactnative/reactnative-original.svg', + type: TechStackType.TECH, + }, + { + id: '35', + name: 'Flutter', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/flutter/flutter-original.svg', + type: TechStackType.TECH, + }, + { + id: '36', + name: 'Svelte', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/svelte/svelte-original.svg', + type: TechStackType.TECH, + }, + { + id: '37', + name: 'Nuxt', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/nuxt/nuxt-original.svg', + type: TechStackType.TECH, + }, + { + id: '38', + name: 'Solid', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/solidjs/solidjs-original.svg', + type: TechStackType.TECH, + }, + { + id: '39', + name: 'Astro', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/astro/astro-original.svg', + type: TechStackType.TECH, + }, + { + id: '40', + name: 'Remix', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/remix/remix-original.svg', + type: TechStackType.TECH, + }, + { + id: '41', + name: 'Expo', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/expo/expo-original.svg', + type: TechStackType.TECH, + }, + { + id: '42', + name: 'Ionic', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/ionic/ionic-original.svg', + type: TechStackType.TECH, + }, + { + id: '43', + name: 'React Router', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/reactrouter/reactrouter-original.svg', + type: TechStackType.TECH, + }, + { + id: '44', + name: 'Electron', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/electron/electron-original.svg', + type: TechStackType.TECH, + }, + { + id: '45', + name: 'Socket.IO', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/socketio/socketio-original.svg', + type: TechStackType.TECH, + }, + { + id: '46', + name: 'Three.js', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/threejs/threejs-original.svg', + type: TechStackType.TECH, + }, + { + id: '47', + name: 'HTMX', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/htmx/htmx-original.svg', + type: TechStackType.TECH, + }, + { + id: '48', + name: 'Inertia.js', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/inertiajs/inertiajs-original.svg', + type: TechStackType.TECH, + }, + { + id: '49', + name: 'tRPC', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/trpc/trpc-original.svg', + type: TechStackType.TECH, + }, + + // === BACKEND FRAMEWORKS (Most Popular First) === + { + id: '50', + name: 'Nest.js', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/nestjs/nestjs-original.svg', + type: TechStackType.TECH, + }, + { + id: '51', + name: 'Fastify', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/fastify/fastify-original.svg', + type: TechStackType.TECH, + }, + { + id: '52', + name: 'Django', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/django/django-plain.svg', + type: TechStackType.TECH, + }, + { + id: '53', + name: 'Flask', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/flask/flask-original.svg', + type: TechStackType.TECH, + }, + { + id: '54', + name: 'Spring Boot', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/spring/spring-original.svg', + type: TechStackType.TECH, + }, + { + id: '55', + name: 'Laravel', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/laravel/laravel-original.svg', + type: TechStackType.TECH, + }, + { + id: '56', + name: 'Rails', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/rails/rails-plain.svg', + type: TechStackType.TECH, + }, + { + id: '57', + name: 'ASP.NET', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/dot-net/dot-net-original.svg', + type: TechStackType.TECH, + }, + { + id: '58', + name: 'Symfony', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/symfony/symfony-original.svg', + type: TechStackType.TECH, + }, + { + id: '59', + name: 'Phoenix', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/phoenix/phoenix-original.svg', + type: TechStackType.TECH, + }, + { + id: '60', + name: 'Qt', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/qt/qt-original.svg', + type: TechStackType.TECH, + }, + + // === DATABASES & CLOUD (Most Popular First) === + { + id: '61', + name: 'PostgreSQL', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/postgresql/postgresql-original.svg', + type: TechStackType.TECH, + }, + { + id: '62', + name: 'MongoDB', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/mongodb/mongodb-original.svg', + type: TechStackType.TECH, + }, + { + id: '63', + name: 'MySQL', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/mysql/mysql-original.svg', + type: TechStackType.TECH, + }, + { + id: '64', + name: 'Redis', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/redis/redis-original.svg', + type: TechStackType.TECH, + }, + { + id: '65', + name: 'SQLite', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/sqlite/sqlite-original.svg', + type: TechStackType.TECH, + }, + { + id: '66', + name: 'Supabase', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/supabase/supabase-original.svg', + type: TechStackType.TECH, + }, + { + id: '67', + name: 'Firebase', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/firebase/firebase-original.svg', + type: TechStackType.TECH, + }, + { + id: '68', + name: 'AWS', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/amazonwebservices/amazonwebservices-original-wordmark.svg', + type: TechStackType.TECH, + }, + { + id: '69', + name: 'Google Cloud', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/googlecloud/googlecloud-original.svg', + type: TechStackType.TECH, + }, + { + id: '70', + name: 'Azure', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/azure/azure-original.svg', + type: TechStackType.TECH, + }, + { + id: '71', + name: 'Google Colab', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/googlecolab/googlecolab-original.svg', + type: TechStackType.TECH, + }, + + // === TOOLS & DEVTOPS (Most Popular First) === + { + id: '72', + name: 'Docker', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/docker/docker-plain.svg', + type: TechStackType.TECH, + }, + { + id: '73', + name: 'GitHub Actions', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/github/github-original.svg', + type: TechStackType.TECH, + }, + { + id: '74', + name: 'Tailwind CSS', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/tailwindcss/tailwindcss-original.svg', + type: TechStackType.TECH, + }, + { + id: '75', + name: 'Prisma', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/prisma/prisma-original.svg', + type: TechStackType.TECH, + }, + { + id: '76', + name: 'Vite', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/vite/vite-original.svg', + type: TechStackType.TECH, + }, + { + id: '77', + name: 'Webpack', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/webpack/webpack-original.svg', + type: TechStackType.TECH, + }, + { + id: '78', + name: 'pnpm', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/pnpm/pnpm-original.svg', + type: TechStackType.TECH, + }, + { + id: '79', + name: 'npm', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/npm/npm-original-wordmark.svg', + type: TechStackType.TECH, + }, + { + id: '80', + name: 'yarn', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/yarn/yarn-original.svg', + type: TechStackType.TECH, + }, + { + id: '81', + name: 'Bun', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/bun/bun-original.svg', + type: TechStackType.TECH, + }, + { + id: '82', + name: 'Kubernetes', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/kubernetes/kubernetes-original.svg', + type: TechStackType.TECH, + }, + { + id: '83', + name: 'Jenkins', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/jenkins/jenkins-original.svg', + type: TechStackType.TECH, + }, + { + id: '84', + name: 'Terraform', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/terraform/terraform-original.svg', + type: TechStackType.TECH, + }, + { + id: '85', + name: 'Homebrew', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/homebrew/homebrew-original.svg', + type: TechStackType.TECH, + }, + { + id: '86', + name: 'Gradle', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/gradle/gradle-original.svg', + type: TechStackType.TECH, + }, + { + id: '87', + name: 'Maven', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/maven/maven-original.svg', + type: TechStackType.TECH, + }, + { + id: '88', + name: 'Travis CI', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/travis/travis-plain.svg', + type: TechStackType.TECH, + }, + + // === TESTING & QUALITY (Most Popular First) === + { + id: '89', + name: 'Jest', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/jest/jest-plain.svg', + type: TechStackType.TECH, + }, + { + id: '90', + name: 'Cypress', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/cypressio/cypressio-original.svg', + type: TechStackType.TECH, + }, + { + id: '91', + name: 'Mocha', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/mocha/mocha-plain.svg', + type: TechStackType.TECH, + }, + + // === DATA & ANALYTICS (Most Popular First) === + { + id: '92', + name: 'GraphQL', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/graphql/graphql-plain.svg', + type: TechStackType.TECH, + }, + { + id: '93', + name: 'Apollo', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/apollographql/apollographql-original.svg', + type: TechStackType.TECH, + }, + { + id: '94', + name: 'TensorFlow', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/tensorflow/tensorflow-original.svg', + type: TechStackType.TECH, + }, + { + id: '95', + name: 'Jupyter', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/jupyter/jupyter-original.svg', + type: TechStackType.TECH, + }, + { + id: '96', + name: 'Grafana', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/grafana/grafana-original.svg', + type: TechStackType.TECH, + }, + + // === UI/UX & DESIGN (Most Popular First) === + { + id: '97', + name: 'Figma', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/figma/figma-original.svg', + type: TechStackType.TECH, + }, + { + id: '98', + name: 'Sass', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/sass/sass-original.svg', + type: TechStackType.TECH, + }, + { + id: '99', + name: 'Bootstrap', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/bootstrap/bootstrap-original.svg', + type: TechStackType.TECH, + }, + { + id: '100', + name: 'Material-UI', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/materialui/materialui-original.svg', + type: TechStackType.TECH, + }, + { + id: '101', + name: 'Redux', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/redux/redux-original.svg', + type: TechStackType.TECH, + }, + { + id: '102', + name: 'Less', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/less/less-plain-wordmark.svg', + type: TechStackType.TECH, + }, + { + id: '111', + name: 'SCSS', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/sass/sass-original.svg', + type: TechStackType.TECH, + }, + { + id: '112', + name: 'Handlebars', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/handlebars/handlebars-original.svg', + type: TechStackType.TECH, + }, + + // === CONTENT & COMMUNICATION (Most Popular First) === + { + id: '103', + name: 'Markdown', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/markdown/markdown-original.svg', + type: TechStackType.TECH, + }, + { + id: '104', + name: 'Slack', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/slack/slack-original.svg', + type: TechStackType.TECH, + }, + + // === CMS & E-COMMERCE (Most Popular First) === + { + id: '105', + name: 'WordPress', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/wordpress/wordpress-original.svg', + type: TechStackType.TECH, + }, + { + id: '106', + name: 'Webflow', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/webflow/webflow-original.svg', + type: TechStackType.TECH, + }, + + // === GAME DEVELOPMENT (Most Popular First) === + { + id: '107', + name: 'Unity', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/unity/unity-original.svg', + type: TechStackType.TECH, + }, + { + id: '108', + name: 'Unreal Engine', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/unrealengine/unrealengine-original.svg', + type: TechStackType.TECH, + }, + + // === HARDWARE & EMBEDDED (Most Popular First) === + { + id: '109', + name: 'Raspberry Pi', + iconUrl: + 'https://cdn.jsdelivr.net/gh/devicons/devicon@latest/icons/raspberrypi/raspberrypi-original.svg', + type: TechStackType.TECH, + }, +]; diff --git a/prisma/seed/users-data.ts b/prisma/seed/users-data.ts new file mode 100644 index 00000000..6f192407 --- /dev/null +++ b/prisma/seed/users-data.ts @@ -0,0 +1,82 @@ +/** + * Test users with varied profiles to validate the recommendation pipeline. + * + * Each user targets a different slice of the project space so we can verify + * that cosine-similarity + hybrid scoring returns relevant recommendations. + */ + +export interface TestUser { + name: string; + email: string; + bio: string; + jobTitle: string; + techStacks: string[]; // matched by name against public.tech_stack + categories: string[]; // matched by name against public."Category" + domains: string[]; // matched by name against public."Domain" +} + +export const testUsersData: TestUser[] = [ + { + name: "Alice Chen", + email: "alice.chen@test.ost", + bio: "Full-stack engineer focused on React and Node.js. Building modern web apps with TypeScript.", + jobTitle: "Senior Frontend Engineer", + techStacks: ["React", "TypeScript", "Next.js", "Node.js", "Tailwind CSS", "PostgreSQL"], + categories: ["Web Development"], + domains: ["Developer Tools", "E-commerce"], + }, + { + name: "Bob Martinez", + email: "bob.martinez@test.ost", + bio: "ML engineer working on NLP and computer vision. Passionate about open-source AI tooling.", + jobTitle: "Machine Learning Engineer", + techStacks: ["Python", "TensorFlow", "Docker", "Jupyter", "PostgreSQL"], + categories: ["AI & Machine Learning", "Data Science & Analytics"], + domains: ["Developer Tools", "Health & Medicine"], + }, + { + name: "Clara Dubois", + email: "clara.dubois@test.ost", + bio: "DevOps lead specializing in Kubernetes, Terraform, and CI/CD pipelines at scale.", + jobTitle: "DevOps Lead", + techStacks: ["Docker", "Kubernetes", "Terraform", "Go", "GitHub Actions", "AWS", "Grafana"], + categories: ["DevOps & Cloud"], + domains: ["Developer Tools"], + }, + { + name: "David Okafor", + email: "david.okafor@test.ost", + bio: "Mobile developer building cross-platform apps with Flutter and React Native.", + jobTitle: "Mobile Developer", + techStacks: ["Flutter", "Dart", "React Native", "Firebase", "TypeScript", "Kotlin"], + categories: ["Mobile Applications"], + domains: ["E-commerce", "Social Networks"], + }, + { + name: "Eva Lindström", + email: "eva.lindstrom@test.ost", + bio: "Security researcher and pentester. Contributing to open-source security tools.", + jobTitle: "Security Engineer", + techStacks: ["Python", "Rust", "Go", "Docker", "Bash"], + categories: ["Security & Cybersecurity"], + domains: ["Developer Tools", "Fintech"], + }, + { + name: "Fatima Al-Rashid", + email: "fatima.alrashid@test.ost", + bio: "Backend engineer with a focus on Rust systems programming and high-performance computing.", + jobTitle: "Systems Engineer", + techStacks: ["Rust", "C++", "Go", "Docker", "PostgreSQL", "Redis"], + categories: ["DevOps & Cloud", "IoT & Hardware"], + domains: ["Developer Tools", "Climate & Environment"], + }, + { + name: "Gabriel Costa", + email: "gabriel.costa@test.ost", + bio: "Data engineer building pipelines with Python and dbt. Interested in fintech analytics.", + jobTitle: "Data Engineer", + techStacks: ["Python", "PostgreSQL", "Docker", "AWS", "Grafana"], + categories: ["Data Science & Analytics", "DevOps & Cloud"], + domains: ["Fintech", "Developer Tools"], + }, +]; diff --git a/pyproject.toml b/pyproject.toml index 22b3f941..f4bd5cba 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,58 +1,74 @@ -[tool.poetry] -name = "ost-ai-engine" +[project] +name = "ost-linker" version = "1.0.0" description = "Recommender-system of OST, AI powered." readme = "README.md" -authors = ["spideyai_X "] -packages = [{include = "src"}] +requires-python = ">=3.11,<3.12" +authors = [ + {name = "spideyai_X", email = "dhicham.pro@gmail.com"}, +] +license = {text = "CC-BY-NC-4.0"} +keywords = ["open-source", "recommendation-engine", "dagster", "dbt", "pgvector", "llm"] +dependencies = [ + "sqlalchemy>=2.0.41,<3", + "psycopg2-binary>=2.9.10,<3", + "pandas>=2.3.0,<3", + "pydantic-settings>=2.4.0,<3", + "numpy<2.0", + "pydantic>=2.0.0,<3", + "pgvector>=0.4.1,<0.5", + "python-dotenv>=1.1.1,<2", + "requests>=2.31.0,<3", + "dagster>=1.12.17,<2", + "dagster-webserver>=1.12.17,<2", + "dagster-postgres>=0.28.17,<0.29", + "PyGithub>=2.6.1,<3", + "furo>=2025.9.25", + "dotenv>=0.9.9,<0.10", + "schedule>=1.1.0,<2", + "fasttext>=0.9.3,<0.10", + "fasttext-wheel>=0.9.2,<0.10", + "openai>=1.55.0,<2", + "sentence-transformers>=5.1.2,<6", + "torch>=2.6.0,<3", + "dagster-dbt>=0.28.17,<0.29", + "dbt-core>=1.8.0,<2", + "dbt-postgres>=1.8.0,<2", +] -[tool.poetry.dependencies] -python = ">=3.11,<3.12" -sqlalchemy = "^2.0.41" -psycopg2-binary = "^2.9.10" -pandas = "^2.3.0" -pydantic-settings = "^2.4.0" -numpy = "<2.0" -pydantic = "^2.0.0" -pgvector = "^0.4.1" -python-dotenv = "^1.1.1" -requests = "^2.31.0" -dagster = "^1.11.5" -dagster-webserver = "^1.11.5" -dagster-postgres = ">=0.27.0,<0.28.0" -PyGithub = "^2.6.1" -furo = "^2025.9.25" -prisma = "^0.15.0" -dotenv = "^0.9.9" -schedule = "^1.1.0" -fasttext = "^0.9.3" -fasttext-wheel = "^0.9.2" -sentence-transformers = "^5.1.2" -torch = {version = "2.9.0", source = "pytorch"} +[project.urls] +Homepage = "https://opensource-together.com/" +Repository = "https://github.com/opensource-together/ost-linker" +Issues = "https://github.com/opensource-together/ost-linker/issues" -[[tool.poetry.source]] -name = "pytorch" -url = "https://download.pytorch.org/whl/cpu" -priority = "explicit" +[dependency-groups] +dev = [ + "ruff>=0.12.0,<0.13", + "pytest>=8.4.1,<9", + "pytest-cov>=6.0.0,<7", + "pytest-dotenv>=0.5.2,<0.6", + "faker>=26.0.0,<27", + "httpx>=0.28.1,<0.29", + "bandit>=1.8.6,<2", + "mypy>=1.8.0,<2", + "safety>=2.3.0,<3", + "sqlfluff>=3.0,<4", + "sqlfluff-templater-dbt>=3.0,<4", + "pip-audit>=2.7.0,<3", + "pandas-stubs>=3.0.0.260204", + "types-psycopg2>=2.9.21.20260223", +] -[tool.dagster] -module_name = "src.pipeline.definitions" +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" -[tool.poetry.group.dev.dependencies] -ruff = "^0.12.0" -pytest = "^8.4.1" -pytest-cov = "^6.0.0" -pytest-dotenv = "^0.5.2" -faker = "^26.0.0" -httpx = "^0.28.1" -bandit = "^1.8.6" -mypy = "^1.8.0" -safety = "^2.3.0" +[tool.hatch.build.targets.wheel] +packages = ["src"] -[build-system] -requires = ["poetry-core"] -build-backend = "poetry.core.masonry.api" +[tool.dagster] +module_name = "src.linker.definitions" [tool.ruff] target-version = "py313" @@ -77,8 +93,12 @@ select = [ "SIM", # flake8-simplify ] +[tool.ruff.lint.per-file-ignores] +"src/linker/definitions.py" = ["E402"] + [tool.ruff.lint.isort] known-first-party = ["src"] +known-third-party = ["dagster", "dagster_dbt", "dagster_postgres"] [tool.ruff.format] quote-style = "double" @@ -100,6 +120,8 @@ warn_unused_ignores = true warn_no_return = true warn_unreachable = true strict_equality = true +explicit_package_bases = true +mypy_path = "." [tool.pytest.ini_options] testpaths = ["tests"] @@ -120,4 +142,3 @@ markers = [ "performance: Performance tests", "api: API tests", ] - diff --git a/scripts/cfg_cron.py b/scripts/cfg_cron.py deleted file mode 100644 index eb96650f..00000000 --- a/scripts/cfg_cron.py +++ /dev/null @@ -1,50 +0,0 @@ -import time -import subprocess -import os -from datetime import datetime -from dotenv import load_dotenv -import schedule - -load_dotenv() - -PROJECT_ROOT = os.environ.get("PROJECT_ROOT", "") -CFG_PATH = os.environ.get("CFG_PATH", "") -CFG_YAML_PATH = os.environ.get("OST_CONFIG_PATH", "") - -if not os.path.isabs(CFG_PATH): - CFG_PATH = os.path.abspath(os.path.join(PROJECT_ROOT, CFG_PATH)) -if not os.path.isabs(CFG_YAML_PATH): - CFG_YAML_PATH = os.path.abspath(os.path.join(PROJECT_ROOT, CFG_YAML_PATH)) - -print(f"[CRON] Using config script path: {CFG_PATH}") -print(f"[CRON] Target YAML path: {CFG_YAML_PATH}") - -# Function to run the config generation script -def run_cfg(): - print("\n[CRON] ===============================") - print(f"[CRON] Cycle started at {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}") - print(f"[CRON] Executing: python {CFG_PATH}") - - result = subprocess.run(["python", CFG_PATH], capture_output=True, text=True) - print(f"[CRON] cfg.py exited with code {result.returncode}") - if result.stdout: - print(f"[CRON] Output:\n{result.stdout}") - if result.stderr: - print(f"[CRON] Errors:\n{result.stderr}") - # Check if the YAML config file was generated - if os.path.exists(CFG_YAML_PATH): - mtime = datetime.fromtimestamp(os.path.getmtime(CFG_YAML_PATH)).strftime('%Y-%m-%d %H:%M:%S') - print(f"[CRON] Config YAML generated: {CFG_YAML_PATH} (last modified: {mtime})") - else: - print(f"[CRON] Config YAML NOT FOUND: {CFG_YAML_PATH}") - print(f"[CRON] Cycle finished at {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}") - print("[CRON] ===============================\n") - -# Schedule the job every day at 03:00 -schedule.every().day.at("03:00").do(run_cfg) - -print("[CRON] Waiting for scheduled time (03:00)...") - -while True: - schedule.run_pending() - time.sleep(30) \ No newline at end of file diff --git a/scripts/check_db.py b/scripts/check_db.py new file mode 100644 index 00000000..a0ecac9c --- /dev/null +++ b/scripts/check_db.py @@ -0,0 +1,19 @@ + +import os +import psycopg2 +from dotenv import load_dotenv + +load_dotenv() + +DB_URL = os.getenv("DATABASE_URL") +print(f"Testing connection to: {DB_URL}") + +try: + conn = psycopg2.connect(DB_URL) + cur = conn.cursor() + cur.execute("SELECT 1;") + print("Connection SUCCESSFUL") + cur.close() + conn.close() +except Exception as e: + print(f"Connection FAILED: {e}") diff --git a/scripts/clean_dagster.sh b/scripts/clean_dagster.sh new file mode 100755 index 00000000..1696c884 --- /dev/null +++ b/scripts/clean_dagster.sh @@ -0,0 +1,10 @@ +#!/bin/bash + +# Définir le chemin du dossier .dagster_home +HOME="/Users/hich/Desktop/git.nosync/ost-linker" +DAGSTER_HOME_DIR="$HOME/dagster" + +echo "Nettoyage du dossier $DAGSTER_HOME_DIR..." +find "$DAGSTER_HOME_DIR" -mindepth 1 -not -name 'dagster.yaml' -exec rm -rf {} + + +echo "Nettoyage terminé. Seul le fichier dagster.yaml a été conservé." \ No newline at end of file diff --git a/scripts/clean_docker_images.sh b/scripts/clean_docker_images.sh new file mode 100755 index 00000000..7f1f50e0 --- /dev/null +++ b/scripts/clean_docker_images.sh @@ -0,0 +1,20 @@ +#!/bin/bash +set -e + +echo "--- Docker disk usage before cleanup ---" +docker system df + +echo "\n--- Prune unused images ---" +docker image prune -a -f + +echo "\n--- Prune unused volumes ---" +docker volume prune -f + +echo "\n--- Prune build cache ---" +docker builder prune -f + +echo "\n--- Prune everything (containers, images, volumes, cache) ---" +docker system prune -a --volumes -f + +echo "\n--- Docker disk usage after cleanup ---" +docker system df \ No newline at end of file diff --git a/scripts/docker-entrypoint.sh b/scripts/docker-entrypoint.sh deleted file mode 100644 index b0fc001b..00000000 --- a/scripts/docker-entrypoint.sh +++ /dev/null @@ -1,15 +0,0 @@ -#!/bin/sh -set -e - -python ./config/cfg.py - -python ./scripts/cfg_cron.py & - -cmd="$1" -shift -# Prefer virtualenv if set -if [ -n "$VE" ] && [ -x "$VE/bin/$cmd" ]; then - exec "$VE/bin/$cmd" "$@" -else - exec "$cmd" "$@" -fi diff --git a/scripts/fixtures/generate_lang_fixtures.py b/scripts/fixtures/generate_lang_fixtures.py new file mode 100644 index 00000000..68734a2b --- /dev/null +++ b/scripts/fixtures/generate_lang_fixtures.py @@ -0,0 +1,77 @@ +import sys +import os +import uuid +import json +from datetime import datetime +from dotenv import load_dotenv + +# Load environment variables from .env file +load_dotenv() + +# Add project root to path to allow imports from src +sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "../.."))) + +from src.services.python.db import get_db_cursor + +def generate_lang_fixtures(): + print("Generating fixtures for github.stg_github_project...") + + fixtures = [ + # ... (fixtures content remains same) + ] + + with get_db_cursor(commit=True) as cur: + for proj in fixtures: + # On génère un ID seulement si c'est une nouvelle insertion (si nécessaire) + # Mais pour l'upsert, PostgreSQL gérera l'ID existant si on n'update pas la PK + # Check if project exists by URL + cur.execute('SELECT id FROM "github"."stg_github_project" WHERE url = %s', (proj["url"],)) + existing = cur.fetchone() + + if existing: + # Update existing project + cur.execute( + """ + UPDATE "github"."stg_github_project" + SET "description" = %s, + "stars" = %s, + "forks" = %s, + "topics" = %s, + "updated_at" = NOW() + WHERE "url" = %s + """, + ( + proj["description"], + 100, + 10, + json.dumps(["test", "fixture"]), + proj["url"] + ) + ) + print(f"Updated: {proj['name']}") + else: + # Insert new project + proj_id = str(uuid.uuid4()) + cur.execute( + """ + INSERT INTO "github"."stg_github_project" + ("id", "name", "description", "url", "stars", "forks", "language", "topics", "created_at", "updated_at") + VALUES (%s, %s, %s, %s, %s, %s, %s, %s, NOW(), NOW()) + """, + ( + proj_id, + proj["name"], + proj["description"], + proj["url"], + 100, + 10, + proj["language"], + json.dumps(["test", "fixture"]), + ) + ) + print(f"Inserted: {proj['name']}") + + print("Done! Fixtures generated.") + +if __name__ == "__main__": + generate_lang_fixtures() diff --git a/scripts/fixtures/seed_users.py b/scripts/fixtures/seed_users.py new file mode 100644 index 00000000..e0ae0d93 --- /dev/null +++ b/scripts/fixtures/seed_users.py @@ -0,0 +1,225 @@ +import uuid +import json +import random +from typing import List, Dict, Any +from src.services.python.db import get_db_cursor +from datetime import datetime + +# Reference Data from prisma/seed/*-data.ts + +# Source: domains-data.ts +DOMAINS_DATA = [ + "Health & Medicine", "E-commerce", "Fintech", "Education", "Social Networks", + "Productivity", "Blockchain & Crypto", "Developer Tools", "Climate & Environment", + "Logistics & Supply chain", "Agritech", "Art & Creative" +] + +# Source: categories-data.ts +CATEGORIES_DATA = [ + "AI & Machine Learning", "Web Development", "Mobile Applications", "DevOps & Cloud", + "Security & Cybersecurity", "IoT & Hardware", "Data Science & Analytics", + "Virtual Reality / Augmented Reality", "Software Testing & Quality" +] + +# Source: techstacks-data.ts (Subset for profiles) +# Note: Ensure names match exactly what's in techstacks-data.ts +TECH_STACKS_DATA = { + "Web": [ + ("React", "TECH"), ("Vue", "TECH"), ("Next.js", "TECH"), ("Tailwind CSS", "TECH"), ("TypeScript", "LANGUAGE"), + ("Node.js", "TECH"), ("PostgreSQL", "TECH"), ("Sass", "TECH") + ], + "Data": [ + ("Python", "LANGUAGE"), ("Pandas", "TECH"), ("GraphQL", "TECH"), ("PostgreSQL", "TECH"), ("TensorFlow", "TECH"), ("Jupyter", "TECH") + ], + "Mobile": [ + ("Flutter", "TECH"), ("React Native", "TECH"), ("Swift", "LANGUAGE"), ("Kotlin", "LANGUAGE"), ("Dart", "LANGUAGE") + ], + "DevOps": [ + ("Docker", "TECH"), ("Kubernetes", "TECH"), ("AWS", "TECH"), ("Terraform", "TECH"), ("GitHub Actions", "TECH"), ("Bash", "LANGUAGE") + ], + "Security": [ + ("Python", "LANGUAGE"), ("Bash", "LANGUAGE"), ("Go", "LANGUAGE"), ("Rust", "LANGUAGE") + ] +} + +# Profiles mapping to valid Domains and Categories +PROFILES = [ + { + "jobTitle": "Senior Frontend Engineer", + "bio": "Building sleek e-commerce experiences.", + "focus": "Web", + "domain": "E-commerce", + "category": "Web Development" + }, + { + "jobTitle": "Data Scientist", + "bio": "Analyzing climate data models.", + "focus": "Data", + "domain": "Climate & Environment", + "category": "Data Science & Analytics" + }, + { + "jobTitle": "Fintech Backend Dev", + "bio": "Secure payments and ledger logic.", + "focus": "Web", # Backend fits in web stack usually or generic + "domain": "Fintech", + "category": "Web Development" + }, + { + "jobTitle": "DevOps Engineer", + "bio": "Scaling developer tools infrastructure.", + "focus": "DevOps", + "domain": "Developer Tools", + "category": "DevOps & Cloud" + }, + { + "jobTitle": "Mobile Architect", + "bio": "Health tracking app development.", + "focus": "Mobile", + "domain": "Health & Medicine", + "category": "Mobile Applications" + }, + { + "jobTitle": "Security Researcher", + "bio": "Blockchain security auditing.", + "focus": "Security", + "domain": "Blockchain & Crypto", + "category": "Security & Cybersecurity" + }, + { + "jobTitle": "EdTech Fullstack", + "bio": "Improving education through technology.", + "focus": ["Web", "Data"], + "domain": "Education", + "category": "Web Development" + }, + { + "jobTitle": "Creative Coder", + "bio": "Generative art and interactive web.", + "focus": "Web", + "domain": "Art & Creative", + "category": "Web Development" + }, + { + "jobTitle": "Logistics Platform Lead", + "bio": "Optimizing supply chains with AI.", + "focus": ["Web", "Data"], + "domain": "Logistics & Supply chain", + "category": "AI & Machine Learning" + }, + { + "jobTitle": "IoT Engineer", + "bio": "Smart agriculture solutions.", + "focus": ["DevOps", "Data"], # IoT often involves lower level or ops + "domain": "Agritech", + "category": "IoT & Hardware" + } +] + +def fetch_reference_data(cur): + """Fetch existing Domains, Categories, TechStacks maps (Name -> ID)""" + + # 1. Domains + domain_map = {} + print("Fetching existing Domains...") + cur.execute('SELECT "id", "name" FROM "public"."Domain"') + for row in cur.fetchall(): + domain_map[row['name']] = row['id'] + + # 2. Categories + category_map = {} + print("Fetching existing Categories...") + cur.execute('SELECT "id", "name" FROM "public"."Category"') + for row in cur.fetchall(): + category_map[row['name']] = row['id'] + + # 3. TechStacks + tech_map = {} + print("Fetching existing TechStacks...") + cur.execute('SELECT "id", "name" FROM "public"."tech_stack"') + for row in cur.fetchall(): + tech_map[row['name']] = row['id'] + + return domain_map, category_map, tech_map + +def generate_users(count=10): + print(f"Generating users based on {len(PROFILES)} profiles using EXISTING reference data...") + with get_db_cursor(commit=True) as cur: + # FETCH instead of INSERT + domain_map, category_map, tech_map = fetch_reference_data(cur) + + # Determine how many multiples of profiles we need + loops = (count // len(PROFILES)) + 1 + + generated_count = 0 + for _ in range(loops): + for profile in PROFILES: + if generated_count >= count: + break + + uid = str(uuid.uuid4()) + name = f"User {generated_count+1} {profile['jobTitle']}" + email = f"user{generated_count+1}_{random.randint(1000,9999)}@example.com" + username = f"user{generated_count+1}_{random.randint(1000,9999)}" + + print(f"Creating user: {name} ({profile['domain']} - {profile['category']})") + cur.execute(""" + INSERT INTO "public"."user" ( + "id", "name", "email", "jobTitle", "bio", "githubUsername", + "emailVerified", "createdAt", "updatedAt" + ) VALUES ( + %s, %s, %s, %s, %s, %s, + false, NOW(), NOW() + ) + """, (uid, name, email, profile['jobTitle'], profile['bio'], username)) + + # Link Domain + if profile['domain'] in domain_map: + cur.execute(""" + INSERT INTO "public"."user_domain" ("id", "userId", "domainId") + VALUES (%s, %s, %s) ON CONFLICT DO NOTHING + """, (str(uuid.uuid4()), uid, domain_map[profile['domain']])) + else: + print(f"Warning: Domain '{profile['domain']}' not found in DB.") + + # Link Category + if profile['category'] in category_map: + cur.execute(""" + INSERT INTO "public"."user_categories" ("id", "userId", "categoryId") + VALUES (%s, %s, %s) ON CONFLICT DO NOTHING + """, (str(uuid.uuid4()), uid, category_map[profile['category']])) + else: + print(f"Warning: Category '{profile['category']}' not found in DB.") + + # Link TechStack + focus_areas = profile['focus'] + if isinstance(focus_areas, str): + focus_areas = [focus_areas] + + chosen_techs = [] + for focus in focus_areas: + if focus in TECH_STACKS_DATA: + available = TECH_STACKS_DATA[focus] + # Pick 3-5 random techs + chosen_techs.extend(random.sample(available, min(len(available), random.randint(3, 5)))) + + chosen_techs = list(set(chosen_techs)) + + for tech_name, _ in chosen_techs: + if tech_name in tech_map: + cur.execute(""" + INSERT INTO "public"."user_tech_stack" ("id", "userId", "techStackId") + VALUES (%s, %s, %s) ON CONFLICT DO NOTHING + """, (str(uuid.uuid4()), uid, tech_map[tech_name])) + else: + # Optional: log missing tech stack if verbose + pass + + generated_count += 1 + + print(f"Success! {generated_count} users seeded and linked to existing attributes.") + +if __name__ == "__main__": + from dotenv import load_dotenv + load_dotenv() + generate_users(10) diff --git a/scripts/go_binary_gen.sh b/scripts/go_binary_gen.sh new file mode 100755 index 00000000..4c3437f1 --- /dev/null +++ b/scripts/go_binary_gen.sh @@ -0,0 +1,13 @@ +#!/bin/bash +set -e + +# Chemin absolu du dossier contenant main.go +GITHUB_SCRAPER_DIR="/Users/hich/Desktop/git.nosync/ost-linker/src/services/go/scraper" +GITHUB_OUTPUT_BIN="/Users/hich/Desktop/git.nosync/ost-linker/data/github-scraper" + +# Compilation +echo "Compiling GitHub Scraper..." +cd "$GITHUB_SCRAPER_DIR" +go build -o "$GITHUB_OUTPUT_BIN" main.go + +echo "Binaire généré : $GITHUB_OUTPUT_BIN" \ No newline at end of file diff --git a/scripts/init.sh b/scripts/init.sh new file mode 100755 index 00000000..c0bfb5b3 --- /dev/null +++ b/scripts/init.sh @@ -0,0 +1,63 @@ +#!/bin/bash +set -e + +echo "Starting initialization..." + +# Daemon skips dbt init — webserver handles it +if [ "$DAGSTER_ROLE" = "daemon" ]; then + echo "Daemon role: skipping dbt init." + echo "Executing command: $@" + exec "$@" +fi + +# Wait for Postgres +echo "Waiting for Postgres to be ready..." +# Use Python to check connection using standard environment variables. +# This avoids needing 'postgresql-client' and hardcoded hostnames. +until python3 -c " +import sys, os, psycopg2 + +url = os.getenv('DATABASE_URL') +user = os.getenv('POSTGRES_USER', '') +password = os.getenv('POSTGRES_PASSWORD', '') +db = os.getenv('POSTGRES_DB', '') +host = os.getenv('POSTGRES_HOST', 'db') +port = os.getenv('POSTGRES_PORT', '5432') + +# Prefer DATABASE_URL if available +dsn = url if url else f'dbname={db} user={user} password={password} host={host} port={port}' + +try: + conn = psycopg2.connect(dsn) + conn.close() + sys.exit(0) +except Exception as e: + print(f'Waiting for DB... {e}') + sys.exit(1) +"; do + sleep 2 +done +echo "Postgres is ready." + +# DBT +if [ -d "dbt" ]; then + cd dbt + + if [ -f "packages.yml" ]; then + echo "Installing dbt dependencies..." + dbt deps + fi + + echo "Building dbt models..." + if ! dbt build; then + echo "WARNING: dbt build failed — some models may be missing. Continuing startup." + fi + + cd .. +else + echo "dbt directory not found!" +fi + +# Run the command passed to docker +echo "Executing command: $@" +exec "$@" diff --git a/scripts/sync_prisma.sh b/scripts/sync_prisma.sh new file mode 100755 index 00000000..075b1e9c --- /dev/null +++ b/scripts/sync_prisma.sh @@ -0,0 +1,11 @@ +#!/bin/bash + +echo "🔄 Mise à jour du dossier prisma..." + +# 1. Récupérer les dernières infos du repo distant +git fetch source-repo + +# 2. Écraser le dossier local par celui du distant (branche develop) +git checkout source-repo/develop -- prisma + +echo "✅ Dossier prisma synchronisé avec succès." \ No newline at end of file diff --git a/src/linker/assets/classification/core_match__classify_projects.py b/src/linker/assets/classification/core_match__classify_projects.py new file mode 100644 index 00000000..11b900d8 --- /dev/null +++ b/src/linker/assets/classification/core_match__classify_projects.py @@ -0,0 +1,125 @@ +from typing import Any + +import pandas as pd +from dagster import AssetExecutionContext, AssetIn, AssetKey, Output, asset + +from src.services.python.db import get_db_cursor + +DEFAULT_OWNERS = ["team:OST/spideyai-X"] + + +@asset( + kinds={"python"}, + owners=DEFAULT_OWNERS, + ins={"projects_df": AssetIn(key=AssetKey(["github", "fct_github_project"]))}, + group_name="classification", + required_resource_keys={"llm_classifier"}, + io_manager_key="fs_io_manager", +) +def core_match__classify_projects( + context: AssetExecutionContext, + projects_df: pd.DataFrame, +) -> Output[list[dict[str, Any]]]: + """ + Classifies GitHub projects into standardized Categories and Domains using LLM. + Reads from `github.fct_github_project` and outputs classification metadata. + """ + llm = context.resources.llm_classifier + + projects = [] + categories_map = {} # Name -> ID + domains_map = {} # Name -> ID + + with get_db_cursor() as cur: + # 1. Fetch Categories & Domains for the Prompt + cur.execute('SELECT "id", "name" FROM "public"."Category"') + categories_map = {row["name"]: row["id"] for row in cur.fetchall()} + + cur.execute('SELECT "id", "name" FROM "public"."Domain"') + domains_map = {row["name"]: row["id"] for row in cur.fetchall()} + + # 2. Use Projects from IO Manager + projects = projects_df.to_dict("records") + + # Adjust alias manually if dataframe has 'name' but code implies 'title' + for p in projects: + if "name" in p and "title" not in p: + p["title"] = p["name"] + + context.log.info(f"Loaded {len(projects)} projects for classification.") + + if not projects: + return Output(value=[], metadata={"count": 0}) + + cat_names = list(categories_map.keys()) + dom_names = list(domains_map.keys()) + + results_payload: list[dict[str, Any]] = [] + total = len(projects) + + for idx, p in enumerate(projects, start=1): + if not p.get("title"): + context.log.debug(f"[{idx}/{total}] Skipping project without title.") + continue + + try: + context.log.info(f"[{idx}/{total}] Classifying: {p['title'][:60]}...") + + # Call LLM + result_json = llm.classify_project( + title=p["title"], + project_context=p.get("context") or "", + categories=cat_names, + domains=dom_names, + ) + + # Map strings back to IDs + cat_name = result_json.get("category") + dom_name = result_json.get("domain") + cat_id = categories_map.get(cat_name) + dom_id = domains_map.get(dom_name) + + if cat_id or dom_id: + # Add classification info to the project object + payload = { + "project": p, + "classification": { + "categoryId": cat_id, + "domainId": dom_id, + "categoryName": cat_name, + "domainName": dom_name, + }, + } + results_payload.append(payload) + context.log.info( + f"[{idx}/{total}] Classified " + f"'{p['title'][:40]}' " + f"-> Cat: {cat_name}, Dom: {dom_name}" + ) + else: + context.log.warning( + f"[{idx}/{total}] Unknown labels for " + f"'{p['title']}': " + f"Cat='{cat_name}', Dom='{dom_name}'" + ) + + except Exception as e: + context.log.error(f"[{idx}/{total}] Failed to classify '{p['title']}': {e}") + continue + + # Log progress every 10 projects + if idx % 10 == 0: + context.log.info( + f"Progress: {idx}/{total} projects processed " + f"({len(results_payload)} classified)" + ) + + context.log.info(f"Successfully classified {len(results_payload)} projects.") + + return Output( + value=results_payload, + metadata={ + "count": len(results_payload), + "preview": [str(x["project"]["title"]) for x in results_payload[:10]], + }, + ) diff --git a/src/linker/assets/embedding/core_ml__embed_projects.py b/src/linker/assets/embedding/core_ml__embed_projects.py new file mode 100644 index 00000000..5d079b09 --- /dev/null +++ b/src/linker/assets/embedding/core_ml__embed_projects.py @@ -0,0 +1,82 @@ +import uuid + +import pandas as pd +from dagster import AssetExecutionContext, AssetIn, AssetKey, asset +from sqlalchemy import create_engine, text + +# Constant for the upsert query +UPSERT_EMBEDDING_QUERY = text(""" + INSERT INTO ml.embd_github_project ("id", "projectId", "vector", "createdAt") + VALUES (:id, :projectId, :vector, NOW()) + ON CONFLICT ("projectId") + DO UPDATE SET + "vector" = EXCLUDED."vector", + "createdAt" = NOW(); +""") + + +@asset( + compute_kind="python", + group_name="ml", + key=AssetKey(["ml", "embd_github_project"]), + ins={ + "projects_df": AssetIn(key=AssetKey(["ml", "int_project_embedding_candidate"])) + }, + required_resource_keys={"config", "sentence_transformer"}, +) +def core_ml__embed_projects( + context: AssetExecutionContext, + projects_df: pd.DataFrame, +) -> None: + """Compute embeddings from int_project_embedding_candidate. + + Results are stored in embd_github_project. + """ + db_url = context.resources.config.db_url + engine = create_engine(db_url) + + # 1. Fetch raw projects with context + df = projects_df + + context.log.info(f"Fetched {len(df)} projects to embed.") + + if df.empty: + return + + # 2. Compute embeddings (batch) + valid_rows = df[df["rich_context_string"].astype(bool)] + texts = valid_rows["rich_context_string"].tolist() + project_ids = valid_rows["project_id"].tolist() + + sentence_transformer = context.resources.sentence_transformer + vectors = sentence_transformer.encode_batch(texts) if texts else [] + context.log.info(f"Computed {len(vectors)} embeddings.") + + embeddings = [ + {"id": str(uuid.uuid4()), "projectId": pid, "vector": vec} + for pid, vec in zip(project_ids, vectors, strict=False) + ] + + context.log.info(f"Total embeddings computed: {len(embeddings)}") + + if not embeddings: + return + + # 3. Store in DB (Upsert logic) + context.log.info(f"Upserting {len(embeddings)} embeddings...") + + with engine.connect() as conn, conn.begin(): + for item in embeddings: + # Convert list to string representation for postgres vector constraint + vector_str = str(item["vector"]) + + conn.execute( + UPSERT_EMBEDDING_QUERY, + { + "id": item["id"], + "projectId": item["projectId"], + "vector": vector_str, + }, + ) + + context.log.info("Successfully upserted embeddings to ml.embd_github_project.") diff --git a/src/linker/assets/embedding/core_ml__embed_users.py b/src/linker/assets/embedding/core_ml__embed_users.py new file mode 100644 index 00000000..6607b3be --- /dev/null +++ b/src/linker/assets/embedding/core_ml__embed_users.py @@ -0,0 +1,77 @@ +import pandas as pd +from dagster import AssetExecutionContext, AssetIn, AssetKey, Output, asset + +from src.services.python.db import get_db_cursor + +DEFAULT_OWNERS = ["team:OST/spideyai-X"] + + +@asset( + kinds={"python", "pgvector"}, + owners=DEFAULT_OWNERS, + key=AssetKey(["ml", "embd_user"]), # Matches dbt source + ins={ + "user_df": AssetIn(key=AssetKey(["ml", "fct_public_user"])) + }, # Matches dbt model + group_name="ml", + required_resource_keys={"sentence_transformer", "io_manager"}, +) +def core_ml__embed_users( + context: AssetExecutionContext, + user_df: pd.DataFrame, +) -> Output[None]: + """ + Step 3: User Embedding. + + 1. Reads user context from `ml.fct_public_user`. + 2. Generates embeddings using SentenceTransformer. + 3. Writes to `ml.embd_user` (or `public.user_embedding`). + """ + model = context.resources.sentence_transformer + + users = user_df.to_dict("records") + context.log.info(f"Loaded {len(users)} users for embedding.") + + if not users: + return Output(value=None, metadata={"count": 0}) + + # 1. Embed + texts = [u["user_context"] for u in users] + embeddings = model.encode_batch(texts) + + context.log.info(f"Generated embeddings for {len(embeddings)} users.") + + # 2. Persist + synced_count = 0 + with get_db_cursor(commit=True) as cur: + for i, user in enumerate(users): + user_id = user["user_id"] + vector = embeddings[ + i + ] # Already a list if model.encode returned list-of-lists + + try: + # Upsert into ml.embd_user + cur.execute( + """ + INSERT INTO "ml"."embd_user" + ("id", "userId", "vector", "createdAt", "updatedAt") + VALUES (uuid_generate_v4(), %s, %s, NOW(), NOW()) + ON CONFLICT ("userId") DO UPDATE SET + "vector" = EXCLUDED."vector", + "updatedAt" = NOW(); + """, + (str(user_id), str(vector)), + ) + + synced_count += 1 + except Exception as e: + context.log.error(f"Failed to save embedding for user {user_id}: {e}") + + return Output( + value=None, + metadata={ + "count": synced_count, + "preview": [u["user_context"][:50] for u in users[:5]], + }, + ) diff --git a/src/linker/assets/scraper/core_github__detect_languages.py b/src/linker/assets/scraper/core_github__detect_languages.py new file mode 100644 index 00000000..f9b1935c --- /dev/null +++ b/src/linker/assets/scraper/core_github__detect_languages.py @@ -0,0 +1,267 @@ +import re +import uuid +from typing import Any + +import pandas as pd +from dagster import ( + AssetExecutionContext, + AssetIn, + AssetKey, + MetadataValue, + Output, + asset, +) + +from src.services.python.db import get_db_cursor + +DEFAULT_OWNERS = ["team:OST/spideyai-X"] + + +@asset( + kinds={"python", "postgres"}, + owners=DEFAULT_OWNERS, + # Read from dbt staging model + ins={"stg_df": AssetIn(key=AssetKey(["github", "stg_github__project"]))}, + group_name="ingestion", + key=AssetKey(["github", "int_github_detection"]), # Matches dbt source + required_resource_keys={"config", "fasttext_model"}, +) +def core_github__detect_languages( + context: AssetExecutionContext, + stg_df: pd.DataFrame, +) -> Output[None]: + """ + Detects and filters repositories based on language using fastText. + Reads from dbt staging table `stg_github__project`. + Output: List of repository dictionaries with added language metadata. + """ + context.log.info("core_github__detect_languages: Starting language detection") + + # Use DataFrame from IO Manager + projects = stg_df.to_dict("records") + context.log.info(f"Fetched {len(projects)} projects from staging.") + + # Get the fastText model from Dagster resources (loaded once, reused across runs) + context.log.info("core_github__detect_languages: Accessing fasttext model...") + fasttext_resource = context.resources.fasttext_model + model = fasttext_resource.model + context.log.info("core_github__detect_languages: Fasttext model accessed.") + + # Blacklist of language codes using non-Latin scripts or languages the pipeline + # should exclude (Arabic, CJK, Japanese, Korean, many Indic languages...) + NON_LATIN_LANGS = { + "ar", + "zh", + "ja", + "ko", + "hi", + "bn", + "ta", + "te", + "kn", + "ml", + "gu", + "mr", + "pa", + "or", + "si", + "ne", + "my", + "ru", + } + + # Regex to detect non-Latin script characters directly in text + # (CJK, Arabic, Devanagari, Bengali, Tamil, Hangul, etc.) + NON_LATIN_CHAR_RE = re.compile( + r"[\u4E00-\u9FFF" # CJK Unified Ideographs + r"\u3040-\u30FF" # Hiragana + Katakana + r"\uAC00-\uD7AF" # Hangul + r"\u0590-\u05FF" # Hebrew + r"\u0600-\u06FF" # Arabic + r"\u0900-\u097F" # Devanagari + r"\u0980-\u09FF" # Bengali + r"\u0B80-\u0BFF" # Tamil + r"\u0C00-\u0C7F" # Telugu + r"\u0C80-\u0CFF" # Kannada + r"\u0D00-\u0D7F" # Malayalam + r"]" + ) + + accepted: list[dict] = [] + filtered_out_projects: list[dict] = [] + + context.log.info("core_github__detect_languages: Starting loop...") + for i, repo in enumerate(projects): + if i % 100 == 0: + context.log.info(f"core_github__detect_languages: Processing item {i}...") + + # Build text to detect language from several possible fields + # Note: repo is a dict from query_raw, keys are column names + text_parts = [] + for key in ("readme", "description", "name"): # stg doesn't have combined_text + v = repo.get(key) + if isinstance(v, str) and v.strip(): + text_parts.append(v.strip()) + text = "\n".join(text_parts)[:20000] + + # Default annotations + repo["language_detected"] = None + repo["language_confidence"] = 0.0 + + # If text contains non-Latin script characters -> immediate filter + if text and NON_LATIN_CHAR_RE.search(text): + filtered_out_projects.append( + { + "id": repo.get("id"), + "name": repo.get("name"), + "reason": "non_latin_script", + } + ) + continue + + # If no text to analyze, keep but with null language + if not text: + accepted.append(repo) + continue + + # Use fastText top-k predictions + lang_code = None + confidence = 0.0 + try: + labels, probs = model.predict(text.replace("\n", " "), k=3) + labels_list = list(labels) if labels is not None else [] + probs_list = list(probs) if probs is not None else [] + preds = [] + for label, pr in zip(labels_list, probs_list, strict=False): + if isinstance(label, bytes): + try: + label = label.decode("utf-8") + except Exception: + label = str(label) + if isinstance(label, str): + code = label.replace("__label__", "").strip() + try: + pr_val = float(pr) + except Exception: + pr_val = 0.0 + preds.append((code, pr_val)) + + if preds: + lang_code, confidence = preds[0] + + # Check for blacklisted languages with significant confidence (> 30%) + blacklisted_found = None + for code, score in preds: + if code in NON_LATIN_LANGS and score >= 0.3: + blacklisted_found = (code, score) + break + + if blacklisted_found: + b_code, b_score = blacklisted_found + filtered_out_projects.append( + { + "id": repo.get("id"), + "name": repo.get("name"), + "reason": "blacklisted_lang", + "lang": b_code, + "score": b_score, + "all_langs": preds, + } + ) + continue + except Exception as e: + context.log.warning(f"fastText prediction failed for repo index {i}: {e}") + + # Annotate and accept + repo["language_detected"] = lang_code + repo["language_confidence"] = confidence + + accepted.append(repo) + + # Insert detection results into int_github_detection + try: + with get_db_cursor(commit=True) as cur: + for repo in accepted: + cur.execute( + """ + INSERT INTO "github"."int_github_detection" + ("id", "project_id", "repo_url", + "language_detected", "language_confidence", + "created_at") + VALUES (%s, %s, %s, %s, %s, NOW()) + ON CONFLICT ("project_id") DO UPDATE + SET "language_detected" = EXCLUDED."language_detected", + "language_confidence" = EXCLUDED."language_confidence", + "repo_url" = EXCLUDED."repo_url", + "created_at" = NOW() + """, + ( + str(uuid.uuid4()), + repo.get("id"), + repo.get("url"), + repo.get("language_detected"), + repo.get("language_confidence"), + ), + ) + context.log.info( + f"Inserted {len(accepted)} detection records into int_github_detection." + ) + except Exception as e: + context.log.error(f"Failed to insert detection records: {e}") + + # Build helpful metadata for debugging + lang_counts: dict = {} + for r in accepted: + k = r.get("language_detected") or "" + lang_counts[k] = lang_counts.get(k, 0) + 1 + + # Helper to serialize datetime objects for metadata + def _make_serializable(obj: Any) -> Any: + import datetime + import uuid + + if isinstance(obj, datetime.date | datetime.datetime): + return obj.isoformat() + if isinstance(obj, uuid.UUID): + return str(obj) + if isinstance(obj, dict): + return {k: _make_serializable(v) for k, v in obj.items()} + if isinstance(obj, list): + return [_make_serializable(v) for v in obj] + return obj + + # Create a clean sample with only requested fields + raw_sample = accepted[:1] + clean_sample = [] + for item in raw_sample: + clean_item = { + "id": item.get("id"), + "name": item.get("name"), + "lang_detected": item.get("language_detected"), + "lang_confidence": item.get("language_confidence"), + # Add description if useful, but user wanted minimal + "description": (item.get("description") or "")[:50] + "..." + if item.get("description") + else None, + } + clean_sample.append(clean_item) + + sample = _make_serializable(clean_sample) + filtered = _make_serializable(filtered_out_projects) + meta = { + "input_count": MetadataValue.int(len(projects)), + "output_count": MetadataValue.int(len(accepted)), + "filtered_out_count": MetadataValue.int(len(filtered_out_projects)), + "filtered_out_percent": MetadataValue.float( + round(100 * len(filtered_out_projects) / len(projects), 2) + if projects + else 0.0 + ), + "filtered_projects": MetadataValue.json(filtered), + "sample": MetadataValue.json(sample), + "language_counts": MetadataValue.json(lang_counts), + } + context.log.info( + f"detect_languages: kept {len(accepted)} / {len(projects)} projects" + ) + return Output(value=None, metadata=meta) diff --git a/src/linker/assets/scraper/core_github__fetch_readme.py b/src/linker/assets/scraper/core_github__fetch_readme.py new file mode 100644 index 00000000..740840e4 --- /dev/null +++ b/src/linker/assets/scraper/core_github__fetch_readme.py @@ -0,0 +1,85 @@ +import os +import subprocess + +import pandas as pd +from dagster import ( + AssetExecutionContext, + AssetIn, + AssetKey, + Output, + asset, +) + +from ...resources.cfg_resource import build_fetcher_env + +DEFAULT_OWNERS = ["team:OST/spideyai-X"] + + +@asset( + kinds={"go", "postgres"}, + owners=DEFAULT_OWNERS, + # Depends on detection + ins={ + "core_github__detect_languages": AssetIn( + key=AssetKey(["github", "int_github_detection"]) + ) + }, + group_name="ingestion", + key=AssetKey(["github", "raw_github_readme"]), # Matches dbt source + required_resource_keys={"config"}, +) +def core_github__fetch_readme( + context: AssetExecutionContext, + core_github__detect_languages: pd.DataFrame, +) -> Output[None]: + """ + Fetch GitHub /readme for each project using Go fetcher. + + **Description:** + Triggers the external Go binary (`ost-fetcher`) to retrieve README content + from GitHub API and upsert them directly into PostgreSQL. + + **Logic:** + 1. **Execution**: Calls `ost-fetcher --mode readme`. + 2. **Concurrency**: the Go binary handles massive concurrency. + 3. **Output**: Returns status metadata, data is written to DB. + """ + context.log.info("core_github__fetch_readme: Starting Go fetcher...") + + # Path to the compiled Go binary from config + cfg = context.resources.config + fetcher_bin = cfg.go_fetcher_path + + if not fetcher_bin: + raise RuntimeError("GO_FETCHER_PATH not configured") + + if not os.path.exists(fetcher_bin): + raise RuntimeError( + f"Go binary not found at {fetcher_bin}. " + "Run 'go build -o ost-fetcher .' " + "in src/services/go/fetcher/" + ) + + env = os.environ.copy() + env.update(build_fetcher_env(cfg)) + + cmd = [fetcher_bin, "--mode", "readme", "--concurrency", "20"] + + context.log.info(f"Running command: {' '.join(cmd)}") + try: + result = subprocess.run( + cmd, env=env, capture_output=True, text=True, check=True + ) + context.log.info(f"Go fetcher stdout:\n{result.stdout}") + if result.stderr: + context.log.warning(f"Go fetcher stderr:\n{result.stderr}") + + except subprocess.CalledProcessError as e: + context.log.error(f"Go fetcher failed with code {e.returncode}") + context.log.error(f"Stdout: {e.stdout}") + context.log.error(f"Stderr: {e.stderr}") + raise RuntimeError("Go fetcher execution failed") from e + + # We don't return the full list of content anymore as it's in DB. + # We return empty list or metadata. + return Output(value=None, metadata={"status": "completed_via_go"}) diff --git a/src/linker/assets/scraper/core_github__fetch_repo_languages.py b/src/linker/assets/scraper/core_github__fetch_repo_languages.py new file mode 100644 index 00000000..a41cbff9 --- /dev/null +++ b/src/linker/assets/scraper/core_github__fetch_repo_languages.py @@ -0,0 +1,82 @@ +import os +import subprocess + +import pandas as pd +from dagster import ( + AssetExecutionContext, + AssetIn, + AssetKey, + Output, + asset, +) + +from ...resources.cfg_resource import build_fetcher_env + +DEFAULT_OWNERS = ["team:OST/spideyai-X"] + + +@asset( + kinds={"go", "postgres"}, + owners=DEFAULT_OWNERS, + # Depends on detection (to filter languages) + ins={ + "core_github__detect_languages": AssetIn( + key=AssetKey(["github", "int_github_detection"]) + ) + }, + group_name="ingestion", + key=AssetKey(["github", "raw_github_languages"]), # Matches dbt source + required_resource_keys={"config"}, +) +def core_github__fetch_repo_languages( + context: AssetExecutionContext, core_github__detect_languages: pd.DataFrame +) -> Output[None]: + """ + Fetch GitHub /languages for each project using Go fetcher. + + **Description:** + Triggers the external Go binary (`ost-fetcher`) to retrieve language breakdown + from GitHub API and upsert them directly into PostgreSQL. + + **Logic:** + 1. **Execution**: Calls `ost-fetcher --mode languages`. + 2. **Concurrency**: the Go binary handles massive concurrency. + 3. **Output**: Returns status metadata, data is written to DB. + """ + context.log.info("core_github__fetch_repo_languages: Starting Go fetcher...") + + # Path to the compiled Go binary from config + cfg = context.resources.config + fetcher_bin = cfg.go_fetcher_path + + if not fetcher_bin: + raise RuntimeError("GO_FETCHER_PATH not configured") + + if not os.path.exists(fetcher_bin): + raise RuntimeError( + f"Go binary not found at {fetcher_bin}. " + "Run 'go build -o ost-fetcher .' " + "in src/services/go/fetcher/" + ) + + env = os.environ.copy() + env.update(build_fetcher_env(cfg)) + + cmd = [fetcher_bin, "--mode", "languages", "--concurrency", "20"] + + context.log.info(f"Running command: {' '.join(cmd)}") + try: + result = subprocess.run( + cmd, env=env, capture_output=True, text=True, check=True + ) + context.log.info(f"Go fetcher stdout:\n{result.stdout}") + if result.stderr: + context.log.warning(f"Go fetcher stderr:\n{result.stderr}") + + except subprocess.CalledProcessError as e: + context.log.error(f"Go fetcher failed with code {e.returncode}") + context.log.error(f"Stdout: {e.stdout}") + context.log.error(f"Stderr: {e.stderr}") + raise RuntimeError("Go fetcher execution failed") from e + + return Output(value=None, metadata={"status": "completed_via_go"}) diff --git a/src/linker/assets/scraper/core_github__fetch_repo_topics.py b/src/linker/assets/scraper/core_github__fetch_repo_topics.py new file mode 100644 index 00000000..1acdeb9a --- /dev/null +++ b/src/linker/assets/scraper/core_github__fetch_repo_topics.py @@ -0,0 +1,82 @@ +import os +import subprocess + +import pandas as pd +from dagster import ( + AssetExecutionContext, + AssetIn, + AssetKey, + Output, + asset, +) + +from ...resources.cfg_resource import build_fetcher_env + +DEFAULT_OWNERS = ["team:OST/spideyai-X"] + + +@asset( + kinds={"go", "postgres"}, + owners=DEFAULT_OWNERS, + # Depends on detection (to filter topics) + ins={ + "core_github__detect_languages": AssetIn( + key=AssetKey(["github", "int_github_detection"]) + ) + }, + group_name="ingestion", + key=AssetKey(["github", "raw_github_topics"]), # Matches dbt source + required_resource_keys={"config"}, +) +def core_github__fetch_repo_topics( + context: AssetExecutionContext, core_github__detect_languages: pd.DataFrame +) -> Output[None]: + """ + Fetch GitHub /topics for each project using Go fetcher. + + **Description:** + Triggers the external Go binary (`ost-fetcher`) to retrieve repository topics + from GitHub API and upsert them directly into PostgreSQL. + + **Logic:** + 1. **Execution**: Calls `ost-fetcher --mode topics`. + 2. **Concurrency**: the Go binary handles massive concurrency. + 3. **Output**: Returns status metadata, data is written to DB. + """ + context.log.info("core_github__fetch_repo_topics: Starting Go fetcher...") + + # Path to the compiled Go binary from config + cfg = context.resources.config + fetcher_bin = cfg.go_fetcher_path + + if not fetcher_bin: + raise RuntimeError("GO_FETCHER_PATH not configured") + + if not os.path.exists(fetcher_bin): + raise RuntimeError( + f"Go binary not found at {fetcher_bin}. " + "Run 'go build -o ost-fetcher .' " + "in src/services/go/fetcher/" + ) + + env = os.environ.copy() + env.update(build_fetcher_env(cfg)) + + cmd = [fetcher_bin, "--mode", "topics", "--concurrency", "20"] + + context.log.info(f"Running command: {' '.join(cmd)}") + try: + result = subprocess.run( + cmd, env=env, capture_output=True, text=True, check=True + ) + context.log.info(f"Go fetcher stdout:\n{result.stdout}") + if result.stderr: + context.log.warning(f"Go fetcher stderr:\n{result.stderr}") + + except subprocess.CalledProcessError as e: + context.log.error(f"Go fetcher failed with code {e.returncode}") + context.log.error(f"Stdout: {e.stdout}") + context.log.error(f"Stderr: {e.stderr}") + raise RuntimeError("Go fetcher execution failed") from e + + return Output(value=None, metadata={"status": "completed_via_go"}) diff --git a/src/linker/assets/scraper/raw_github__extract_projects.py b/src/linker/assets/scraper/raw_github__extract_projects.py new file mode 100644 index 00000000..a2304961 --- /dev/null +++ b/src/linker/assets/scraper/raw_github__extract_projects.py @@ -0,0 +1,129 @@ +import json +import os +import subprocess + +from dagster import ( + AssetExecutionContext, + AssetKey, + MetadataValue, + Output, + asset, +) + +from ...resources.cfg_resource import build_scraper_env + +DEFAULT_OWNERS = ["team:OST/spideyai-X"] + + +@asset( + kinds={"go", "postgres"}, + owners=DEFAULT_OWNERS, + group_name="ingestion", + required_resource_keys={"config"}, + key=AssetKey(["github", "raw_github_project"]), # Matches DB table +) +def raw_github__extract_projects(context: AssetExecutionContext) -> Output[None]: + """Execute Go scraper to fetch GitHub projects and write to DB. + + Supports multi-query parallel scraping and single-query legacy format. + """ + context.log.info("raw_github__extract_projects: Starting GitHub scraper execution") + cfg = context.resources.config + + # Start with full environment, then add/override with config values + env = os.environ.copy() + env.update(build_scraper_env(cfg)) + + # Ensure DATABASE_URL is passed (from config or env) + if "DATABASE_URL" not in env: + msg = "DATABASE_URL must be set in environment or config for scraper" + raise ValueError(msg) + + # Locate binary from config resource + scraper_path = cfg.go_scraper_path + if not scraper_path: + raise RuntimeError("GO_SCRAPER_PATH not configured") + + if not os.path.exists(scraper_path): + raise RuntimeError(f"Go scraper binary not found at {scraper_path}") + + context.log.info(f"Using scraper at {scraper_path}") + queries_json = env.get("GITHUB_SCRAPING_QUERIES", "[]") + context.log.info(f"Queries: {queries_json}") + + try: + # Run scraper + result = subprocess.run( + [scraper_path], + capture_output=True, + text=True, + env=env, + cwd=os.getcwd(), + timeout=600, # 10 minutes for parallel multi-query + ) + + stdout = result.stdout + stderr = result.stderr + + if result.returncode != 0: + context.log.error(f"GitHub scraper exited with code {result.returncode}") + context.log.error(f"Stderr: {stderr}") + context.log.error(f"Stdout: {stdout}") + raise RuntimeError(f"GitHub scraper failed (exit {result.returncode})") + + context.log.info(f"Scraper stdout: {stdout}") + if stderr: + context.log.warning(f"Scraper stderr: {stderr}") + + # Parse summary from stdout + try: + summary = json.loads(stdout) + except Exception: + context.log.warning("Could not parse scraper summary JSON") + return Output( + value=None, + metadata={"status": "completed_via_go_unparsed"}, + ) + + # Multi-query format (has "queries" key) + if "queries" in summary: + for qr in summary["queries"]: + context.log.info( + f" query={qr['query']!r} collected={qr['collected_count']} " + f"upserted={qr['upserted_count']} failed={qr['failed_upserts']}" + ) + + metadata: dict[str, MetadataValue] = { + "num_queries": MetadataValue.int(len(summary["queries"])), + "total_collected": MetadataValue.int(summary.get("total_collected", 0)), + "total_upserted": MetadataValue.int(summary.get("total_upserted", 0)), + "total_failed": MetadataValue.int(summary.get("total_failed", 0)), + "duration_seconds": MetadataValue.float( + summary.get("duration_seconds", 0) + ), + "status": MetadataValue.text(summary.get("status", "unknown")), + } + + # Per-query breakdown as JSON text + metadata["per_query"] = MetadataValue.json(summary["queries"]) + + return Output(value=None, metadata=metadata) + + # Legacy single-query format + return Output( + value=None, + metadata={ + "collected_count": MetadataValue.int(summary.get("collected_count", 0)), + "upserted_count": MetadataValue.int(summary.get("upserted_count", 0)), + "query": MetadataValue.text( + env.get("GITHUB_SCRAPING_QUERY", "unknown") + ), + "status": MetadataValue.text("completed_via_go"), + }, + ) + + except subprocess.TimeoutExpired as exc: + raise RuntimeError("GitHub scraper timed out after 600s") from exc + except Exception as e: + context.log.error(f"GitHub scraper execution error: {e}") + raise diff --git a/src/linker/assets/sync/core_public__sync_projects.py b/src/linker/assets/sync/core_public__sync_projects.py new file mode 100644 index 00000000..d806d5e3 --- /dev/null +++ b/src/linker/assets/sync/core_public__sync_projects.py @@ -0,0 +1,185 @@ +import uuid +from typing import Any + +from dagster import AssetExecutionContext, AssetKey, asset + +from src.services.python.db import get_db_cursor + +DEFAULT_OWNERS = ["team:OST/spideyai-X"] + + +@asset( + kinds={"python", "postgres"}, + owners=DEFAULT_OWNERS, + group_name="classification", + key=AssetKey(["public", "Project"]), # Explicitly match DBT Source + required_resource_keys={"io_manager"}, +) +def core_public__sync_projects( + context: AssetExecutionContext, + core_match__classify_projects: list[dict[str, Any]], +) -> None: + """ + Step 2: Sync / Persistence. + + Input: List of classified projects from `core_match__classify_projects`. + Actions: + 1. Upsert `public.Project` (with trending=True). + 2. Upsert `match.ProjectClassification`. + 3. Upsert `public.project_category` (Category) and `public.project_domain`. + + Output: + Yields AssetMaterialization to trigger downstream DBT models. + """ + data = core_match__classify_projects + + if not data: + context.log.info("No data to sync.") + return + + with get_db_cursor() as cur: + # Load TechStack Map (Name -> ID) + cur.execute('SELECT "id", "name" FROM "public"."tech_stack"') + tech_stack_map = {row["name"].lower(): row["id"] for row in cur.fetchall()} + + synced_count = 0 + + for item in data: + p = item["project"] + classification = item["classification"] + + cat_id = ( + str(classification["categoryId"]) if classification["categoryId"] else None + ) + dom_id = str(classification["domainId"]) if classification["domainId"] else None + + # Combine languages (dict keys) and topics (list) + # languages is typically JSON like {"Python": 1000, "Rust": 500} + # topics is JSON list ["machine-learning", "python"] + + project_tech_names: set[str] = set() + + langs = p.get("languages") + if langs: + if isinstance(langs, dict): + project_tech_names.update(k.lower() for k in langs) + elif isinstance(langs, list) and langs and isinstance(langs[0], str): + project_tech_names.update(lang.lower() for lang in langs) + + if p.get("topics"): + project_tech_names.update(t.lower() for t in p["topics"]) + + try: + # Use a separate transaction per project to isolate failures + with get_db_cursor(commit=True) as cur: + # A. Upsert public.Project + # Force trending = True + cur.execute( + """ + INSERT INTO "public"."Project" ( + "id", + "title", + "description", + "repoUrl", + "provider", + "githubUrl", + "published", + "trending", + "createdAt", + "updatedAt" + ) + VALUES ( + %s, %s, %s, %s, + 'GITHUB', %s, true, true, %s, NOW() + ) + ON CONFLICT ("id") DO UPDATE SET + "title" = EXCLUDED."title", + "description" = EXCLUDED."description", + "repoUrl" = EXCLUDED."repoUrl", + "githubUrl" = EXCLUDED."githubUrl", + "trending" = true, + "updatedAt" = NOW(); + """, + ( + str(p["id"]), + p["title"], + p["description"], + p["url"], + p["url"], # githubUrl + p["created_at"], + ), + ) + + # B. Upsert match.project_classification + match_id = str(uuid.uuid4()) + try: + cur.execute( + """ + INSERT INTO "match"."project_classification" ( + "id", "projectId", "categoryId", + "domainId", "createdAt", "updatedAt" + ) + VALUES (%s, %s, %s, %s, NOW(), NOW()) + ON CONFLICT ("projectId") DO UPDATE SET + "categoryId" = EXCLUDED."categoryId", + "domainId" = EXCLUDED."domainId", + "updatedAt" = NOW(); + """, + (match_id, str(p["id"]), cat_id, dom_id), + ) + except Exception as db_err: + context.log.error( + f"DB Error upserting classification for {p['id']}: {db_err}" + ) + raise db_err + + # C. Relations + + # 1. Category -> public.project_category + if cat_id: + cur.execute( + """ + INSERT INTO "public"."project_category" + ("id", "projectId", "categoryId", "createdAt") + VALUES (%s, %s, %s, NOW()) + ON CONFLICT ("projectId", "categoryId") DO NOTHING; + """, + (str(uuid.uuid4()), str(p["id"]), cat_id), + ) + + # 2. Domain -> public.project_domain + if dom_id: + cur.execute( + """ + INSERT INTO "public"."project_domain" + ("id", "projectId", "domainId", "createdAt") + VALUES (%s, %s, %s, NOW()) + ON CONFLICT ("projectId", "domainId") DO NOTHING; + """, + (str(uuid.uuid4()), str(p["id"]), dom_id), + ) + + # 3. Tech Stacks -> public.project_tech_stack + for name in project_tech_names: + ts_id = tech_stack_map.get(name) + if ts_id: + cur.execute( + """ + INSERT INTO "public"."project_tech_stack" + ("id", "projectId", "techStackId", "createdAt") + VALUES (%s, %s, %s, NOW()) + ON CONFLICT ("projectId", "techStackId") DO NOTHING; + """, + (str(uuid.uuid4()), str(p["id"]), str(ts_id)), + ) + + synced_count += 1 + + except Exception as e: + context.log.error(f"Failed to sync '{p.get('title')}': {e}") + + context.log.info( + f"Sync Complete. Persisted {synced_count} projects, " + "classifications, and tech stacks." + ) + return None # Return None as we used explicit key but yield nothing dynamic diff --git a/src/linker/definitions.py b/src/linker/definitions.py new file mode 100644 index 00000000..60235c63 --- /dev/null +++ b/src/linker/definitions.py @@ -0,0 +1,129 @@ +import os +from collections.abc import Iterator +from pathlib import Path +from typing import Any + +from dagster import ( + AssetExecutionContext, + Definitions, + EnvVar, + FilesystemIOManager, + load_assets_from_modules, +) +from dagster_dbt import DbtCliResource, DbtProject, dbt_assets + +DEFAULT_DBT_DIR = Path(__file__).parent.parent.parent / "dbt" +DBT_PROJECT_DIR = Path(os.getenv("DBT_PROJECT_DIR", DEFAULT_DBT_DIR)).resolve() +dbt_project = DbtProject( + project_dir=DBT_PROJECT_DIR, + profiles_dir=DBT_PROJECT_DIR, +) +dbt_project.prepare_if_dev() + + +@dbt_assets(manifest=dbt_project.manifest_path, name="dbt_models") +def dbt_project_assets( + context: AssetExecutionContext, + dbt: DbtCliResource, +) -> Iterator[Any]: + yield from dbt.cli( + ["build", "--indirect-selection", "cautious"], context=context + ).stream() + + +dbt_resource = DbtCliResource(project_dir=DBT_PROJECT_DIR) + +dbt_assets_list = [dbt_project_assets] + +# scraper Assets +from .assets.scraper import ( + core_github__detect_languages, + core_github__fetch_readme, + core_github__fetch_repo_languages, + core_github__fetch_repo_topics, + raw_github__extract_projects, +) +from .resources.cfg_resource import PipelineConfig +from .resources.fasttext_resource import FastTextModelResource +from .resources.io_manager import PandasPostgresIOManager +from .resources.llm_classifier_resource import LLMClassifierResource +from .resources.sentence_transformer_resource import SentenceTransformerResource + +scraper_assets = load_assets_from_modules( + [ + raw_github__extract_projects, + core_github__detect_languages, + core_github__fetch_readme, + core_github__fetch_repo_languages, + core_github__fetch_repo_topics, + ] +) + +# classification Assets +from .assets.classification.core_match__classify_projects import ( + core_match__classify_projects, +) + +# ML Assets +from .assets.embedding.core_ml__embed_projects import core_ml__embed_projects +from .assets.embedding.core_ml__embed_users import core_ml__embed_users +from .assets.sync.core_public__sync_projects import core_public__sync_projects +from .jobs.cleanup_dagster_job import cleanup_dagster_history_job +from .jobs.project_classification_job import project_classification_job +from .jobs.project_embedding_job import project_embedding_job +from .jobs.project_scraper_job import project_scraper_job + +# jobs +from .jobs.run_all_job import run_all_job +from .jobs.user_recommendation_job import user_recommendation_job +from .schedules.cleanup_dagster_schedule import cleanup_dagster_history_schedule + +# schedule +from .schedules.run_all_schedule import run_all_schedule +from .schedules.user_recommendation_schedule import user_recommendation_schedule +from .sensors.classification_sensor import classification_sensor + +defs = Definitions( + assets=[ + *scraper_assets, + *dbt_assets_list, + core_match__classify_projects, + core_public__sync_projects, + core_ml__embed_projects, + core_ml__embed_users, + ], + resources={ + "config": PipelineConfig( + db_url=EnvVar("DATABASE_URL"), + github_token=EnvVar("GITHUB_ACCESS_TOKEN"), + go_scraper_path=EnvVar("GO_SCRAPER_PATH"), + go_fetcher_path=EnvVar("GO_FETCHER_PATH"), + ), + "fasttext_model": FastTextModelResource( + model_path=EnvVar("FASTTEXT_MODEL_PATH"), + ), + "llm_classifier": LLMClassifierResource( + api_key=EnvVar("OPENROUTER_API_KEY"), + ), + "sentence_transformer": SentenceTransformerResource( + device="cpu" + ), # Using CPU for embedding for now, or mps + "dbt": dbt_resource, + "io_manager": PandasPostgresIOManager(db_url=EnvVar("DATABASE_URL")), + "fs_io_manager": FilesystemIOManager(), + }, + jobs=[ + project_scraper_job, + cleanup_dagster_history_job, + project_classification_job, + project_embedding_job, + run_all_job, + user_recommendation_job, + ], + schedules=[ + cleanup_dagster_history_schedule, + run_all_schedule, + user_recommendation_schedule, + ], + sensors=[classification_sensor], +) diff --git a/src/pipeline/jobs/cleanup_dagster_job.py b/src/linker/jobs/cleanup_dagster_job.py similarity index 79% rename from src/pipeline/jobs/cleanup_dagster_job.py rename to src/linker/jobs/cleanup_dagster_job.py index a81070e6..f307ad11 100644 --- a/src/pipeline/jobs/cleanup_dagster_job.py +++ b/src/linker/jobs/cleanup_dagster_job.py @@ -1,13 +1,13 @@ import os -import time import shutil +import time from pathlib import Path -from dagster import op, job +from dagster import OpExecutionContext, job, op @op -def clean_dagster_home(context): +def clean_dagster_home(context: OpExecutionContext) -> dict[str, int]: """ Clean specific Dagster state directories older than 2 days. @@ -17,18 +17,14 @@ def clean_dagster_home(context): Safety: only removes entries inside those two targets and logs actions. """ - dagster_home = os.environ.get("DAGSTER_HOME") + dagster_home = os.environ.get("DAGSTER_HOME", "") dgh = Path(dagster_home) if not dgh.exists(): context.log.info(f"dagster home not found: {dgh} — nothing to clean") return {"scanned": 0, "deleted": 0} # explicit targets under DAGSTER_HOME - targets = [ - dgh / "logs", - dgh / ".logs_queue", - dgh / "history" / "history" - ] + targets = [dgh / "logs", dgh / ".logs_queue", dgh / "history" / "history"] # keep items newer than this many days days_to_keep = 2 @@ -56,13 +52,14 @@ def clean_dagster_home(context): except Exception as e: context.log.warning(f"cleanup: failed to remove {child}: {e}") - context.log.info(f"cleanup: scanned={scanned} deleted={deleted} (keeps last {days_to_keep} days)") + context.log.info( + f"cleanup: scanned={scanned} deleted={deleted} (keeps last {days_to_keep} days)" + ) return {"scanned": scanned, "deleted": deleted} - @job() -def cleanup_dagster_history_job(): +def cleanup_dagster_history_job() -> None: clean_dagster_home() diff --git a/src/linker/jobs/project_classification_job.py b/src/linker/jobs/project_classification_job.py new file mode 100644 index 00000000..c686e193 --- /dev/null +++ b/src/linker/jobs/project_classification_job.py @@ -0,0 +1,9 @@ +from dagster import AssetSelection, define_asset_job + +project_classification_job = define_asset_job( + name="project_classification_job", + selection=AssetSelection.groups("classification"), + description=( + "Orchestrates the LLM classification of projects into Categories and Domains." + ), +) diff --git a/src/linker/jobs/project_embedding_job.py b/src/linker/jobs/project_embedding_job.py new file mode 100644 index 00000000..6383004e --- /dev/null +++ b/src/linker/jobs/project_embedding_job.py @@ -0,0 +1,17 @@ +from dagster import AssetSelection, define_asset_job + +# Job that runs the full embedding pipeline: +# 1. dbt run (to refresh stg/raw public projects) +# 2. python embed (to compute and store embeddings) + +project_embedding_job = define_asset_job( + name="project_embedding_job", + selection=AssetSelection.groups("ml") + | AssetSelection.groups("ml_preparation") + | AssetSelection.groups("classification") + | AssetSelection.groups("matching"), + description=( + "Runs classification, DBT models for ML context, " + "and computes project embeddings." + ), +) diff --git a/src/linker/jobs/project_scraper_job.py b/src/linker/jobs/project_scraper_job.py new file mode 100644 index 00000000..7840afd5 --- /dev/null +++ b/src/linker/jobs/project_scraper_job.py @@ -0,0 +1,24 @@ +from dagster import ( + AssetSelection, + Backoff, + Jitter, + RetryPolicy, + define_asset_job, +) + +project_scraper_job = define_asset_job( + name="project_scraper_job", + selection=AssetSelection.groups("ingestion", "classification"), + op_retry_policy=RetryPolicy( + max_retries=2, + delay=30, + backoff=Backoff.EXPONENTIAL, + jitter=Jitter.FULL, + ), + description=( + "Ingests raw GitHub data, detects languages, " + "and executes initial classification pipeline." + ), +) + +__all__ = ["project_scraper_job"] diff --git a/src/linker/jobs/run_all_job.py b/src/linker/jobs/run_all_job.py new file mode 100644 index 00000000..016bba24 --- /dev/null +++ b/src/linker/jobs/run_all_job.py @@ -0,0 +1,3 @@ +from dagster import AssetSelection, define_asset_job + +run_all_job = define_asset_job(name="run_all_job", selection=AssetSelection.all()) diff --git a/src/linker/jobs/user_recommendation_job.py b/src/linker/jobs/user_recommendation_job.py new file mode 100644 index 00000000..31206ccf --- /dev/null +++ b/src/linker/jobs/user_recommendation_job.py @@ -0,0 +1,12 @@ +from dagster import AssetSelection, define_asset_job + +user_recommendation_job = define_asset_job( + name="user_recommendation_job", + selection=AssetSelection.assets("core_ml__embed_users") + | AssetSelection.groups("matching") + | AssetSelection.assets("core_public__sync_projects"), + description=( + "Recomputes user embeddings, refreshes matching models, " + "and syncs results to the public Project table." + ), +) diff --git a/src/linker/resources/cfg_resource.py b/src/linker/resources/cfg_resource.py new file mode 100644 index 00000000..75e45aa0 --- /dev/null +++ b/src/linker/resources/cfg_resource.py @@ -0,0 +1,106 @@ +""" +Configuration resource for Dagster pipeline. +Consolidates all config into PipelineConfig which reads directly from environment. +""" + +import json +from datetime import date, timedelta + +from dagster import ConfigurableResource + +# Terms to exclude from search results to filter out non-contributable repos. +# NOTE: GitHub Search API rejects queries with more than ~5 NOT operators. +EXCLUDED_TERMS = [ + "awesome", + "roadmap", + "cheatsheet", + "interview", +] + +# Star ranges for parallel multi-query scraping. +# Each range becomes a separate GitHub search query, running concurrently. +STAR_RANGES: list[tuple[int, int]] = [(300, 1000), (1000, 3000), (3000, 5000)] + + +def _build_github_query(star_range: tuple[int, int]) -> str: + """Build a single GitHub search query for the given star range.""" + seven_days_ago = (date.today() - timedelta(days=7)).isoformat() + return " ".join( + [ + f"stars:{star_range[0]}..{star_range[1]}", + "good-first-issues:>1", + "help-wanted-issues:>0", + "topics:>2", + "fork:false", + f"pushed:>={seven_days_ago}", + "is:public", + "archived:false", + ] + + [f'NOT "{term}"' for term in EXCLUDED_TERMS] + ) + + +def build_default_github_query() -> str: + """Build GitHub search query with a fresh date each time it is called. + + Backward-compatible: returns a single query covering the full 300..5000 range. + """ + return _build_github_query((300, 5000)) + + +def build_default_github_queries() -> list[str]: + """Build one GitHub search query per star range for parallel scraping.""" + return [_build_github_query(r) for r in STAR_RANGES] + + +class PipelineConfig(ConfigurableResource): + """ + Central configuration for the Dagster pipeline. + + Required fields (db_url, github_token, go_scraper_path, go_fetcher_path) + receive ``EnvVar(...)`` in definitions.py so they are resolved at runtime. + """ + + # Database + db_url: str + # GitHub + github_token: str + github_scraping_query: str = "" + github_api_url: str = "https://api.github.com/search/repositories" + # Go binary paths + go_scraper_path: str + go_fetcher_path: str + + +def build_scraper_env(cfg: PipelineConfig) -> dict[str, str]: + """Return environment dict for the Go scraper subprocess.""" + env: dict[str, str] = {} + env["DATABASE_URL"] = cfg.db_url + + # Build queries list: explicit single query wrapped in array, or default multi-range + if cfg.github_scraping_query: + queries = [cfg.github_scraping_query] + else: + queries = build_default_github_queries() + + env["GITHUB_SCRAPING_QUERIES"] = json.dumps(queries) + # Backward compat: legacy single-query var (first query in the list) + env["GITHUB_SCRAPING_QUERY"] = queries[0] + + if cfg.github_token: + env["GITHUB_ACCESS_TOKEN"] = cfg.github_token + if cfg.github_api_url: + env["GITHUB_API_URL"] = cfg.github_api_url + if cfg.go_scraper_path: + env["GO_SCRAPER_PATH"] = cfg.go_scraper_path + if cfg.go_fetcher_path: + env["GO_FETCHER_PATH"] = cfg.go_fetcher_path + return env + + +def build_fetcher_env(cfg: PipelineConfig) -> dict[str, str]: + """Return environment dict for the Go fetcher subprocess.""" + return { + "DATABASE_URL": cfg.db_url, + "GITHUB_ACCESS_TOKEN": cfg.github_token, + } diff --git a/src/linker/resources/fasttext_resource.py b/src/linker/resources/fasttext_resource.py new file mode 100644 index 00000000..18b5bc9a --- /dev/null +++ b/src/linker/resources/fasttext_resource.py @@ -0,0 +1,74 @@ +"""FastText model resource for Dagster pipeline. + +Provides a singleton fastText language detection model that is loaded once +and reused across all assets. +""" + +import os +from typing import Any + +from dagster import ConfigurableResource +from pydantic import PrivateAttr + + +class FastTextModelResource(ConfigurableResource): + """Wrapper for fastText language detection model. + + Loads the model once during initialization and provides it to all assets + that require language detection functionality. + """ + + model_path: str = "models/lid.176.ftz" + _model: Any = PrivateAttr(default=None) + + @property + def model(self) -> Any: + """Lazy-load and return the fastText model. + + Returns: + fasttext model instance + + Raises: + ImportError: if fasttext package is not installed + FileNotFoundError: if model file doesn't exist + """ + if self._model is None: + try: + import fasttext # type: ignore[import-untyped] + except ImportError as e: + raise ImportError( + "fasttext package is required for language detection. " + "Install it with: poetry add fasttext" + ) from e + + if not os.path.exists(self.model_path): + raise FileNotFoundError( + f"FastText model not found at: {self.model_path}. " + f"Expected lid.176.ftz model file." + ) + + # Suppress fastText warnings during model loading + import warnings + + with warnings.catch_warnings(): + warnings.simplefilter("ignore") + print( + f"FastTextModelResource: Loading model from {self.model_path}...", + flush=True, + ) + self._model = fasttext.load_model(self.model_path) + print("FastTextModelResource: Model loaded successfully.", flush=True) + + return self._model + + def predict(self, text: str, k: int = 1) -> Any: + """Predict language(s) for given text. + + Args: + text: Input text to detect language from + k: Number of top predictions to return + + Returns: + Tuple of (labels, probabilities) + """ + return self.model.predict(text, k=k) diff --git a/src/linker/resources/io_manager.py b/src/linker/resources/io_manager.py new file mode 100644 index 00000000..07c42c2e --- /dev/null +++ b/src/linker/resources/io_manager.py @@ -0,0 +1,45 @@ +import pandas as pd +from dagster import ConfigurableIOManager, InputContext, OutputContext +from pydantic import PrivateAttr +from sqlalchemy import create_engine +from sqlalchemy.engine import Engine + + +class PandasPostgresIOManager(ConfigurableIOManager): + db_url: str + + _engine: Engine | None = PrivateAttr(default=None) + + @property + def engine(self) -> Engine: + if self._engine is None: + self._engine = create_engine(self.db_url) + return self._engine + + def handle_output(self, context: OutputContext, obj: pd.DataFrame | None) -> None: + if obj is None: + context.log.info("Skipping output write because obj is None") + return + + # Map AssetKey to Schema/Table + if len(context.asset_key.path) > 1: + schema, table = context.asset_key.path[-2], context.asset_key.path[-1] + else: + schema = "public" + table = context.asset_key.path[-1] + + context.log.info(f"Writing dataframe to {schema}.{table}") + obj.to_sql(table, self.engine, schema=schema, if_exists="replace", index=False) + + def load_input(self, context: InputContext) -> pd.DataFrame: + # Map AssetKey to Schema/Table + if len(context.asset_key.path) > 1: + schema = context.asset_key.path[-2] + table = context.asset_key.path[-1] + full_table_name = f'"{schema}"."{table}"' + else: + full_table_name = f'"{context.asset_key.path[-1]}"' + + context.log.info(f"Loading input from {full_table_name}") + query = f"SELECT * FROM {full_table_name}" + return pd.read_sql(query, self.engine) diff --git a/src/linker/resources/llm_classifier_resource.py b/src/linker/resources/llm_classifier_resource.py new file mode 100644 index 00000000..a4598457 --- /dev/null +++ b/src/linker/resources/llm_classifier_resource.py @@ -0,0 +1,106 @@ +import json +import logging +import threading + +import httpx +from dagster import ConfigurableResource +from openai import OpenAI + +_LLM_CALL_TIMEOUT_SECONDS = 45 + + +class LLMClassifierResource(ConfigurableResource): + api_key: str + model_id: str = "mistralai/mistral-small-3.2-24b-instruct" + + def classify_project( + self, + title: str, + project_context: str, + categories: list[str], + domains: list[str], + ) -> dict: + """Classify a project using its context and valid labels. + + Takes a project in context (title, description, topics, readme) + and the list of valid categories/domains from OST. + Returns a Dict with the classification. + """ + if not self.api_key: + logging.error( + "LLMResource: No OPENROUTER_API_KEY found in environment variables." + ) + return {"error": "no_api_key"} + + client = OpenAI( + base_url="https://openrouter.ai/api/v1", + api_key=self.api_key, + timeout=httpx.Timeout(30.0, connect=10.0, read=20.0, write=10.0), + max_retries=1, + ) + + # Truncate context to keep it snappy and cheap + truncated_context = (project_context or "")[:8000] + + cats_str = ", ".join(categories) + doms_str = ", ".join(domains) + + system_prompt = ( + "You are an expert technical classifier. " + "Analyze the GitHub project context " + "(Title, Description, Topics, Readme) " + "and classify it.\n" + f"1. Assign the single most relevant Category from: [{cats_str}]\n" + f"2. Assign the single most relevant Domain from: [{doms_str}]\n" + "If unsure, pick the closest match or null.\n" + "Response format: JSON ONLY, no markdown, no explanation.\n" + 'Example: {"category": "Framework", "domain": "Web Development"}' + ) + + user_content = f"Title: {title}\n\nProject Context:\n{truncated_context}" + + result_container: list[dict[str, object] | None] = [None] + error_container: list[Exception | None] = [None] + + def _call_api() -> None: + try: + completion = client.chat.completions.create( + model=self.model_id, + messages=[ + {"role": "system", "content": system_prompt}, + {"role": "user", "content": user_content}, + ], + temperature=0.0, + response_format={"type": "json_object"}, + ) + content = completion.choices[0].message.content + if content is None: + error_container[0] = ValueError("LLM returned empty content") + return + clean_json = content.replace("```json", "").replace("```", "").strip() + result_container[0] = json.loads(clean_json) + except Exception as e: + error_container[0] = e + + thread = threading.Thread(target=_call_api, daemon=True) + thread.start() + thread.join(timeout=_LLM_CALL_TIMEOUT_SECONDS) + + if thread.is_alive(): + logging.error( + "OpenRouter API hard timeout " + f"({_LLM_CALL_TIMEOUT_SECONDS}s) for {title}" + ) + return { + "error": "timeout", + "details": f"Hard timeout after {_LLM_CALL_TIMEOUT_SECONDS}s", + } + + if error_container[0] is not None: + logging.error(f"OpenRouter API Error for {title}: {error_container[0]}") + return {"error": "api_error", "details": str(error_container[0])} + + if result_container[0] is not None: + return result_container[0] + + return {"error": "unknown", "details": "No result and no error"} diff --git a/src/linker/resources/sentence_transformer_resource.py b/src/linker/resources/sentence_transformer_resource.py new file mode 100644 index 00000000..bfa814f7 --- /dev/null +++ b/src/linker/resources/sentence_transformer_resource.py @@ -0,0 +1,41 @@ +from dagster import ConfigurableResource +from pydantic import PrivateAttr +from sentence_transformers import SentenceTransformer + + +class SentenceTransformerResource(ConfigurableResource): + """ + Resource for SentenceTransformer model to compute text embeddings. + """ + + model_name: str = "sentence-transformers/all-MiniLM-L6-v2" + device: str = "cpu" + _model: SentenceTransformer | None = PrivateAttr(default=None) + + def get_model(self) -> SentenceTransformer: + if self._model is None: + print( + f"Loading SentenceTransformer model: " + f"{self.model_name} on {self.device}", + flush=True, + ) + self._model = SentenceTransformer(self.model_name, device=self.device) + print("Model loaded successfully.", flush=True) + return self._model + + def encode(self, text: str) -> list[float]: + """ + Encodes a single string into a vector. + """ + model = self.get_model() + # normalize_embeddings=True is good for cosine similarity + embedding = model.encode(text, normalize_embeddings=True) + return embedding.tolist() + + def encode_batch(self, texts: list[str]) -> list[list[float]]: + """ + Encodes a list of strings into vectors. + """ + model = self.get_model() + embeddings = model.encode(texts, normalize_embeddings=True) + return [vec.tolist() for vec in embeddings] diff --git a/src/linker/schedules/__init__.py b/src/linker/schedules/__init__.py new file mode 100644 index 00000000..dd7a0e08 --- /dev/null +++ b/src/linker/schedules/__init__.py @@ -0,0 +1 @@ +"""Schedules package for src.linker.""" diff --git a/src/linker/schedules/cleanup_dagster_schedule.py b/src/linker/schedules/cleanup_dagster_schedule.py new file mode 100644 index 00000000..dbe84973 --- /dev/null +++ b/src/linker/schedules/cleanup_dagster_schedule.py @@ -0,0 +1,15 @@ +from dagster import DefaultScheduleStatus, ScheduleDefinition + +from ..jobs.cleanup_dagster_job import cleanup_dagster_history_job + +# Enable by default at Dagster start, like the GitHub scraper schedule +cleanup_dagster_history_schedule = ScheduleDefinition( + name="cleanup_dagster_history_schedule", + job=cleanup_dagster_history_job, + cron_schedule="0 23 */2 * *", + default_status=DefaultScheduleStatus.RUNNING, + run_config={}, +) + + +__all__ = ["cleanup_dagster_history_schedule"] diff --git a/src/linker/schedules/run_all_schedule.py b/src/linker/schedules/run_all_schedule.py new file mode 100644 index 00000000..9d3af4b5 --- /dev/null +++ b/src/linker/schedules/run_all_schedule.py @@ -0,0 +1,11 @@ +from dagster import DefaultScheduleStatus, ScheduleDefinition + +from ..jobs.run_all_job import run_all_job + +# Schedule: 1x per day at 3 AM +run_all_schedule = ScheduleDefinition( + job=run_all_job, + cron_schedule="0 3 * * *", + execution_timezone="Europe/Paris", + default_status=DefaultScheduleStatus.RUNNING, +) diff --git a/src/linker/schedules/user_recommendation_schedule.py b/src/linker/schedules/user_recommendation_schedule.py new file mode 100644 index 00000000..43504977 --- /dev/null +++ b/src/linker/schedules/user_recommendation_schedule.py @@ -0,0 +1,11 @@ +from dagster import DefaultScheduleStatus, ScheduleDefinition + +from ..jobs.user_recommendation_job import user_recommendation_job + +# Schedule: every 2 hours +user_recommendation_schedule = ScheduleDefinition( + job=user_recommendation_job, + cron_schedule="0 */2 * * *", + execution_timezone="Europe/Paris", + default_status=DefaultScheduleStatus.RUNNING, +) diff --git a/src/linker/sensors/__init__.py b/src/linker/sensors/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/src/linker/sensors/classification_sensor.py b/src/linker/sensors/classification_sensor.py new file mode 100644 index 00000000..b1529c2d --- /dev/null +++ b/src/linker/sensors/classification_sensor.py @@ -0,0 +1,21 @@ +from dagster import ( + DagsterRunStatus, + RunRequest, + RunStatusSensorContext, + run_status_sensor, +) + +from ..jobs.project_classification_job import project_classification_job +from ..jobs.project_scraper_job import project_scraper_job + + +@run_status_sensor( + run_status=DagsterRunStatus.SUCCESS, + monitored_jobs=[project_scraper_job], + request_job=project_classification_job, +) +def classification_sensor(context: RunStatusSensorContext) -> RunRequest: + """Trigger classification job on scraper success.""" + return RunRequest( + run_key=f"classification_run_{context.dagster_run.run_id}", + ) diff --git a/src/pipeline/assets/core/asset_checks.py b/src/pipeline/assets/core/asset_checks.py deleted file mode 100644 index 9aba2240..00000000 --- a/src/pipeline/assets/core/asset_checks.py +++ /dev/null @@ -1,121 +0,0 @@ -from dagster import ( - asset_check, - AssetCheckResult, - MetadataValue, -) - - -@asset_check( - asset="core_github__extract_top_projects", - name="core_github__extract_top_projects_description_is_not_empty", -) -def core_github__extract_top_projects_description_is_not_empty(context, core_github__extract_top_projects): - """Ensure each project has a non-empty description and return diagnostics. - - Produces metadata: missing_count, missing_indices, missing_examples, total. - """ - # Accept either a list or a pandas DataFrame (normalise to list of dicts) - import pandas as pd - - if isinstance(core_github__extract_top_projects, pd.DataFrame): - core_list = core_github__extract_top_projects.to_dict(orient="records") - elif isinstance(core_github__extract_top_projects, list): - core_list = core_github__extract_top_projects - else: - msg = f"Input to check is not a list or DataFrame (got {type(core_github__extract_top_projects)})." - context.log.error(msg) - return AssetCheckResult( - passed=False, - description=msg, - metadata={ - "type": MetadataValue.text(str(type(core_github__extract_top_projects))), - "count": MetadataValue.null(), - }, - ) - - missing_indices = [] - missing_examples = [] - for i, project in enumerate(core_list): - if project.get("description") in (None, ""): - missing_indices.append(i) - if len(missing_examples) < 5: - example_title = project.get("name") or project.get("full_name") or project.get("title") or project.get("repoUrl") - missing_examples.append({"index": i, "example": example_title}) - - metadata = { - "missing_count": MetadataValue.int(len(missing_indices)), - "missing_indices": MetadataValue.json(missing_indices[:50]), - "missing_examples": MetadataValue.json(missing_examples), - "total": MetadataValue.int(len(core_list)), - } - - if missing_indices: - msg = f"{len(missing_indices)} project(s) missing description." - context.log.error(msg) - metadata["error"] = MetadataValue.text(msg) - return AssetCheckResult(passed=False, description=msg, metadata=metadata) - - msg = "All projects have a non-empty description." - context.log.info(msg) - metadata["info"] = MetadataValue.text(msg) - return AssetCheckResult(passed=True, description=msg, metadata=metadata) - - -@asset_check( - asset="core_repo_lang_detect", - name="core_repo_lang_detect_language_fields_present", -) -def core_repo_lang_detect_language_fields_present(context, core_repo_lang_detect): - """Verify each record has `language` and `language_confidence` keys (may be None). - - Fails when output is not a list or items are missing the expected keys. - """ - import pandas as pd - - if isinstance(core_repo_lang_detect, pd.DataFrame): - lang_list = core_repo_lang_detect.to_dict(orient="records") - else: - lang_list = core_repo_lang_detect - - missing = [] - for i, item in enumerate(lang_list): - if not isinstance(item, dict) or ("language" not in item or "language_confidence" not in item): - missing.append(i) - - if missing: - msg = f"{len(missing)} item(s) missing language fields." - context.log.error(msg) - return AssetCheckResult(passed=False, description=msg, metadata={"missing_indices": MetadataValue.json(missing[:50])}) - - return AssetCheckResult(passed=True, description="All items contain language and language_confidence fields.", metadata={"total": MetadataValue.int(len(lang_list))}) - - -@asset_check( - asset="core_github__table_projects_mapped", - name="core_github__table_projects_mapped_repoUrl_present", -) -def core_github__table_projects_mapped_repoUrl_present(context, core_github__table_projects_mapped): - """Ensure mapped projects include a non-empty `repoUrl` for all items (required for DB upsert).""" - import pandas as pd - - # Accept DataFrame or list - if isinstance(core_github__table_projects_mapped, pd.DataFrame): - mapped_list = core_github__table_projects_mapped.to_dict(orient="records") - elif isinstance(core_github__table_projects_mapped, list): - mapped_list = core_github__table_projects_mapped - else: - msg = "Output is not a list or DataFrame." - context.log.error(msg) - return AssetCheckResult(passed=False, description=msg, metadata={"type": MetadataValue.text(str(type(core_github__table_projects_mapped)))}) - - missing_indices = [] - for i, proj in enumerate(mapped_list): - if not isinstance(proj, dict) or not proj.get("repoUrl"): - missing_indices.append(i) - - if missing_indices: - msg = f"{len(missing_indices)} mapped project(s) missing repoUrl." - context.log.error(msg) - return AssetCheckResult(passed=False, description=msg, metadata={"missing_indices": MetadataValue.json(missing_indices[:50])}) - - return AssetCheckResult(passed=True, description="All mapped projects include repoUrl.", metadata={"mapped_count": MetadataValue.int(len(mapped_list))}) diff --git a/src/pipeline/assets/core/assets.py b/src/pipeline/assets/core/assets.py deleted file mode 100644 index eae14041..00000000 --- a/src/pipeline/assets/core/assets.py +++ /dev/null @@ -1,1349 +0,0 @@ -"""Staging assets - placeholder package. - -Move or implement staging transforms here. For now this module exposes -no assets and acts as a scaffold for future work. -""" -import typing as _t -from pathlib import Path -import re -from collections import Counter - -from dagster import ( - asset, - AssetIn, - MetadataValue, - Output, -) -from src.pipeline.resources.map.mapping_map import ( - GITHUB_TO_PROJECT_MAPPING, -) -import os -import json -import requests -from concurrent.futures import ThreadPoolExecutor, as_completed -# Lazy-load heavy ML models to avoid importing C extensions at module import time which can cause instability when Dagster spawns child processes. -from src.pipeline.utils import prisma_client - -# Globals used by the sentence-transformers based mapping. Initialize here to avoid NameError and to make state explicit before any child process -_SENTENCE_MODEL = None -_CATEGORY_EMBS = None -_CATEGORIES = None - - -# Generic helper: resolve a model attribute on the Prisma client using common -# candidate names (snake_case, camelCase, PascalCase). Returns the model -# object or None. -def _find_model(client_obj, candidates: list[str]): - for n in candidates: - if hasattr(client_obj, n): - return getattr(client_obj, n) - return None - - -# Helper to compute embeddings for Category rows fetched from the DB. -# Returns (cat_objs, cat_embs) where cat_embs is a numpy array with one -# embedding per category in the same order as cat_objs. -def _get_db_category_embeddings(category_model, context): - all_categories = category_model.find_many() - cat_objs = list(all_categories or []) - if not cat_objs: - return [], None, None - try: - model = _load_model() - cat_texts = [getattr(c, "name", "") for c in cat_objs] - cat_embs = model.encode(cat_texts, convert_to_numpy=True, normalize_embeddings=True) - return cat_objs, cat_embs, model - except Exception as e: - context.log.exception(f"_get_db_category_embeddings: failed to load model/compute embeddings: {e}") - return cat_objs, None, None - -__all__ = [ - "core_repo_lang_detect", - "core_repo_primary_language_filter", - "raw_github__to_df", - "core_merge_filtered_projects", - "core_github__fetch_repo_languages", - "core_github__fetch_repo_topics", - "core_github__merge_repo_meta", - "core_github__normalize_repo_meta", - "core_github__map_languages_to_techstacks", - "core_github__map_topics_to_categories", -] - -# Keep the same owners convention as other assets -DEFAULT_OWNERS = ["team:OST/spideyai-X"] - - -@asset( - kinds={"python"}, - owners=DEFAULT_OWNERS, - description=( - "Detect repo language using fastText; annotate with `language` and " - "`language_confidence`, and filter non‑Latin/scripted languages." - ), - # Accept the DataFrame produced by `raw_github__to_df` so this asset can run - # in parallel with `core_repo_primary_language_filter`. - ins={"raw_github__df": AssetIn("raw_github__to_df")}, - group_name="github_projects_scraper", - required_resource_keys={"config", "fasttext_model"}, -) -def core_repo_lang_detect(context, raw_github__df: _t.Any): - """Annotate repos with detected language and filter non-Latin/scripted languages. - - Output: list of repo dicts with `language` and `language_confidence` added. - Fallback: if fastText/model missing -> pass-through (logs error). - - Behaviour changes: - - If any non‑Latin/scripted language is detected (even as a minority), - the repo is filtered out. - - We check both textual script presence (CJK, Arabic, Devanagari, etc.) - and fastText's top-k predictions to catch mixed languages like - "chinese + english". - """ - # Accept either a DataFrame (from the new transformer asset) or the - # original list-of-dicts. Be permissive for backwards compatibility. - if raw_github__df is None: - context.log.info("core_repo_lang_detect: no input projects, returning empty list") - return Output(value=[], metadata={"input_count": MetadataValue.int(0)}) - - # Lazily import pandas to avoid loading C-extensions at module import time. - import pandas as pd - - # If a DataFrame is provided, convert to list of dicts for the existing - # processing logic. If pandas is not available, treat input as list. - if isinstance(raw_github__df, pd.DataFrame): - raw_list = raw_github__df.to_dict(orient="records") - else: - raw_list = raw_github__df - - # Get the fastText model from Dagster resources (loaded once, reused across runs) - fasttext_resource = context.resources.fasttext_model - model = fasttext_resource.model - - # Blacklist of language codes using non-Latin scripts or languages the pipeline - # should exclude (Arabic, CJK, Japanese, Korean, many Indic languages...) - NON_LATIN_LANGS = { - "ar", "zh", "ja", "ko", - "hi", "bn", "ta", "te", "kn", "ml", "gu", "mr", "pa", "or", "si", "ne", "my", - } - - # Regex to detect non-Latin script characters directly in text (CJK, Arabic, Devanagari, Bengali, Tamil, Hangul, etc.) - NON_LATIN_CHAR_RE = re.compile( - r"[\u4E00-\u9FFF" # CJK Unified Ideographs - r"\u3040-\u30FF" # Hiragana + Katakana - r"\uAC00-\uD7AF" # Hangul - r"\u0590-\u05FF" # Hebrew - r"\u0600-\u06FF" # Arabic - r"\u0900-\u097F" # Devanagari - r"\u0980-\u09FF" # Bengali - r"\u0B80-\u0BFF" # Tamil - r"\u0C00-\u0C7F" # Telugu - r"\u0C80-\u0CFF" # Kannada - r"\u0D00-\u0D7F" # Malayalam - r"]" - ) - - accepted: _t.List[_t.Dict] = [] - filtered_out = 0 - - for i, repo in enumerate(raw_list): - # Build text to detect language from several possible fields - text_parts = [] - for key in ("combined_text", "readme", "description", "name"): - v = repo.get(key) - if isinstance(v, str) and v.strip(): - text_parts.append(v.strip()) - text = "\n".join(text_parts)[:20000] - - # Default annotations - repo["language"] = None - repo["language_confidence"] = 0.0 - - # If text contains non-Latin script characters -> immediate filter - if text and NON_LATIN_CHAR_RE.search(text): - # No need to run fastText; annotate language_confidence as 1.0 for reporting - repo["language"] = None - repo["language_confidence"] = 1.0 - filtered_out += 1 - context.log.debug(f"core_repo_lang_detect: filtering out repo [{repo.get('name')}] because non-Latin script characters were found in text") - continue - - # If no text to analyze, keep but with null language - if not text: - accepted.append(repo) - continue - - # Use fastText top-k predictions and treat any presence of blacklisted code - # (even as a minority) as reason to filter. - lang_code = None - confidence = 0.0 - try: - # request top-3 labels to catch mixed-language predictions - labels, probs = model.predict(text.replace("\n", " "), k=3) - # Ensure we have plain Python iterables (avoid numpy array truth checks) - labels_list = list(labels) if labels is not None else [] - probs_list = list(probs) if probs is not None else [] - # labels like '__label__en' or bytes; normalize safely - preds = [] - for lb, pr in zip(labels_list, probs_list): - # decode bytes if sentence-transformers/fasttext returns bytes - if isinstance(lb, bytes): - try: - lb = lb.decode("utf-8") - except Exception: - lb = str(lb) - if isinstance(lb, str): - code = lb.replace("__label__", "").strip() - try: - pr_val = float(pr) - # some predictors may return non-float types; fallback to 0.0 - except Exception: - pr_val = 0.0 - preds.append((code, pr_val)) - # choose top for primary annotation - if preds: - lang_code, confidence = preds[0] - # if any predicted code is blacklisted (even with small prob), filter out - blacklisted = any((c in NON_LATIN_LANGS) for c, _ in preds) - if blacklisted: - repo["language"] = lang_code - repo["language_confidence"] = confidence - filtered_out += 1 - context.log.debug(f"core_repo_lang_detect: filtering out repo [{repo.get('name')}] because fastText top-k includes non-Latin code among {preds}") - continue - except Exception as e: - # If fastText fails, log and keep (do not filter) to avoid dropping data silently. - context.log.warning(f"fastText prediction failed for repo index {i}: {e}") - - # If we reach here, no non-Latin indication found -> annotate and accept - repo["language"] = lang_code - repo["language_confidence"] = confidence - accepted.append(repo) - - # Build helpful metadata for debugging - lang_counts: dict = {} - for r in accepted: - k = r.get("language") or "" - lang_counts[k] = lang_counts.get(k, 0) + 1 - - sample = accepted[:3] - meta = { - "input_count": MetadataValue.int(len(raw_list)), - "output_count": MetadataValue.int(len(accepted)), - "filtered_out": MetadataValue.int(filtered_out), - "filtered_out_percent": MetadataValue.float(round(100 * filtered_out / len(raw_list), 2) if raw_list else 0.0), - "sample": MetadataValue.json(sample), - "language_counts": MetadataValue.json(lang_counts), - } - context.log.info(f"core_repo_lang_detect: kept {len(accepted)} / {len(raw_list)} projects (filtered {filtered_out} = {meta['filtered_out_percent']}%); top languages={dict(sorted(lang_counts.items(), key=lambda x: x[1], reverse=True)[:5])}") - # Return a list of dicts to remain compatible with existing asset checks - return Output(value=accepted, metadata=meta) - - - -@asset( - kinds={"python"}, - owners=DEFAULT_OWNERS, - ins={"core_repo_lang_detect": AssetIn(), "core_repo_primary_language_filter": AssetIn()}, - group_name="github_projects_scraper", - required_resource_keys={"config"}, -) -def core_merge_filtered_projects(context, core_repo_lang_detect, core_repo_primary_language_filter): - """Merge the two filtered outputs produced in parallel. - - Default behavior: perform an inner join on `id` (GitHub numeric id). If `id` - is not present in both dataframes, fall back to `full_name`, `html_url`, or - `name` (in that order) if available in both. - - The merge is an intersection: only repos kept by both filters remain. This - follows the semantics "remove rows each asset must remove". - """ - # Import pandas locally; if missing fail fast with a clear log. - import pandas as pd - - # Normalize inputs to DataFrames - def to_df(x): - if x is None: - return pd.DataFrame() if pd is not None else [] - if pd is not None and isinstance(x, pd.DataFrame): - return x - try: - return pd.DataFrame(x) if pd is not None else x - except Exception: - return pd.DataFrame() if pd is not None else [] - - df1 = to_df(core_repo_lang_detect) - df2 = to_df(core_repo_primary_language_filter) - - # Choose join key - common_keys = ["id", "full_name", "html_url", "name"] - join_key = None - for k in common_keys: - if k in df1.columns and k in df2.columns: - join_key = k - break - - if join_key is None: - context.log.warning("core_merge_filtered_projects: no common join key found; returning lang-detect output as fallback") - merged = df1 - else: - try: - merged = pd.merge(df1, df2[[join_key]], on=join_key, how="inner") - context.log.info(f"core_merge_filtered_projects: merged on '{join_key}', resulting rows={len(merged)}") - except Exception as e: - context.log.exception(f"core_merge_filtered_projects: merge failed: {e}") - merged = df1 - - records = merged.to_dict(orient="records") - meta = { - "left_count": MetadataValue.int(len(df1)), - "right_count": MetadataValue.int(len(df2)), - "merged_count": MetadataValue.int(len(records)), - "join_key": MetadataValue.text(join_key or "none"), - "sample": MetadataValue.json(records[:3]), - "sample_ids": MetadataValue.json([r.get(join_key) for r in records[:3]]) if join_key else MetadataValue.json([]), - } - return Output(value=records, metadata=meta) - -@asset( - kinds={"python"}, - owners=DEFAULT_OWNERS, - ins={"raw_github__extract_projects": AssetIn()}, - group_name="github_projects_scraper", - required_resource_keys={"config"}, -) -def raw_github__to_df(context, raw_github__extract_projects: _t.List[_t.Dict]): - """Convert the raw list-of-dicts into a pandas.DataFrame. - - This asset provides a single DataFrame that is used as input to - `core_repo_lang_detect` and `core_repo_primary_language_filter` so they - can run in parallel on the same dataset. - """ - if not raw_github__extract_projects: - context.log.info("raw_github__to_df: no input projects, returning empty DataFrame") - df = pd.DataFrame() - return Output(value=df, metadata={"input_count": MetadataValue.int(0)}) - - try: - # Import pandas directly; let ImportError surface after logging - import pandas as pd - df = pd.DataFrame(raw_github__extract_projects) - sample_records = df.head(3).to_dict(orient="records") - sample_ids = [r.get("id") for r in sample_records] - meta = { - "input_count": MetadataValue.int(len(df)), - "columns_count": MetadataValue.int(len(df.columns)), - "sample": MetadataValue.json(sample_records), - "sample_ids": MetadataValue.json(sample_ids), - } - context.log.info(f"raw_github__to_df: converted {len(df)} projects to DataFrame; columns={list(df.columns)[:6]}") - return Output(value=df, metadata=meta) - except ImportError as e: - context.log.error(f"raw_github__to_df: pandas is required but not installed: {e}") - raise - except Exception as e: - context.log.exception(f"raw_github__to_df: could not convert to DataFrame: {e}") - # Fallback: return empty DataFrame representation - try: - return Output(value=pd.DataFrame(), metadata={"input_count": MetadataValue.int(0), "error": MetadataValue.text(str(e))}) - except Exception: - return Output(value=[], metadata={"input_count": MetadataValue.int(0), "error": MetadataValue.text(str(e))}) - - -@asset( - kinds={"python"}, - owners=DEFAULT_OWNERS, - description=( - "Filter repos whose GitHub `language` (primary language) matches a known techstack." - ), - # Accept the DataFrame produced by `raw_github__to_df` so this asset can run - # in parallel with `core_repo_lang_detect`. - ins={"raw_github__df": AssetIn("raw_github__to_df")}, - group_name="github_projects_scraper", - required_resource_keys={"config"}, -) -def core_repo_primary_language_filter(context, raw_github__df: _t.Any): - """Keep only repositories whose `language` field (GitHub primary language) matches - one of the known tech stacks from the project seed file. - - The path to the seed TS file is provided by `context.resources.config.techstacks_seed_path`. - The function performs a lightweight parse of the TypeScript seed to extract `name` values. - """ - seed_path = getattr(context.resources.config, "techstacks_seed_path", "") - allowed: set[str] = set() - try: - p = Path(seed_path) - # fallback to known json path in the repo if configured path missing - if not p.exists(): - fallback = Path("prisma/seed/techstacks-data.json") - if fallback.exists(): - p = fallback - else: - context.log.warning(f"techstacks seed file not found at {seed_path} and no fallback found at {fallback}") - - if p.exists(): - # Prefer JSON seed (newer). If JSON, parse and pick LANGUAGE entries when present. - if p.suffix.lower() == ".json": - try: - data = json.loads(p.read_text(encoding="utf-8")) - names = [d.get("name") for d in data if isinstance(d, dict) and d.get("name")] - # If `type` is present, prefer only LANGUAGE entries (GitHub primary languages) - lang_names = [d.get("name") for d in data if isinstance(d, dict) and d.get("type") and d.get("type").upper() == "LANGUAGE"] - use_names = lang_names if lang_names else names - allowed = {n.strip().lower() for n in use_names if n and n.strip()} - except Exception: - # fallback to regex if json parsing fails - txt = p.read_text(encoding="utf-8") - names = re.findall(r"name:\s*[\'\"]([^\'\"]+)[\'\"]", txt) - allowed = {n.strip().lower() for n in names if n.strip()} - else: - # Try to extract from TS/JS using a regex that allows single or double quotes - txt = p.read_text(encoding="utf-8") - names = re.findall(r"name:\s*[\'\"]([^\'\"]+)[\'\"]", txt) - allowed = {n.strip().lower() for n in names if n.strip()} - else: - # no seed file available; leave allowed empty and log warning already emitted - pass - except Exception as e: - context.log.warning(f"Could not read techstacks seed file {seed_path}: {e}") - - # Import pandas directly; fail fast if missing - try: - import pandas as pd - except ImportError as e: - context.log.error(f"core_repo_primary_language_filter: pandas is required but not installed: {e}") - raise - - # Accept DataFrame or list-of-dicts - if isinstance(raw_github__df, pd.DataFrame): - raw_list = raw_github__df.to_dict(orient="records") - else: - raw_list = raw_github__df or [] - - kept = [] - filtered_count = 0 - for i, repo in enumerate(raw_list): - lang = repo.get("language") - if isinstance(lang, str) and lang.strip() and lang.strip().lower() in allowed: - kept.append(repo) - else: - filtered_count += 1 - - # Build metadata - sample_kept = kept[:3] - allowed_sample = list(sorted(allowed))[:10] - meta = { - "input_count": MetadataValue.int(len(raw_list)), - "kept_count": MetadataValue.int(len(kept)), - "filtered_out": MetadataValue.int(filtered_count), - "allowed_count": MetadataValue.int(len(allowed)), - "allowed_sample": MetadataValue.json(allowed_sample), - "sample": MetadataValue.json(sample_kept), - } - context.log.info(f"core_repo_primary_language_filter: kept {len(kept)} / {len(raw_list)} projects; allowed_count={len(allowed)}; sample={sample_kept}") - # Return DataFrame for downstream merging - try: - df = pd.DataFrame(kept) - return Output(value=df, metadata=meta) - except Exception: - return Output(value=kept, metadata=meta) - - -@asset( - kinds={"python"}, - owners=DEFAULT_OWNERS, - ins={"merged_filtered_projects": AssetIn("core_merge_filtered_projects")}, - group_name="github_projects_scraper", - required_resource_keys={"config"}, -) -def core_github__extract_top_projects(context, merged_filtered_projects): - """Select projects with non-empty descriptions. Do not sort or limit by stars.""" - # Avoid importing pandas inside the child process; use duck-typing to convert if needed. - projects = merged_filtered_projects - if hasattr(merged_filtered_projects, "to_dict") and callable(getattr(merged_filtered_projects, "to_dict")): - try: - projects = merged_filtered_projects.to_dict(orient="records") - except Exception: - projects = merged_filtered_projects - - if not projects or not isinstance(projects, list): - context.log.warning("No projects to select.") - return Output(value=[], metadata={"selected_count": MetadataValue.int(0), "input_count": MetadataValue.int(0)}) - - # Keep all projects that have a non-empty description (no sorting or top-N selection). - filtered = [p for p in projects if p.get("description") not in (None, "")] - context.log.info(f"core_github__extract_top_projects: {len(filtered)} projects with description out of {len(projects)}") - - if not filtered: - return Output(value=[], metadata={ - "selected_count": MetadataValue.int(0), - "input_count": MetadataValue.int(len(projects)), - "reason": MetadataValue.text("No project with description found."), - }) - - meta = { - "selected_count": MetadataValue.int(len(filtered)), - "input_count": MetadataValue.int(len(projects)), - } - return Output(value=filtered, metadata=meta) - - -@asset( - kinds={"python"}, - owners=DEFAULT_OWNERS, - ins={"core_github__extract_top_projects": AssetIn()}, - group_name="github_projects_scraper", -) -def core_github__table_projects_mapped(context, core_github__extract_top_projects): - """Map selected top projects to the Prisma `Project` schema. - - Uses `GITHUB_TO_PROJECT_MAPPING` to populate Prisma fields. Returns mapped list - and metadata (mapped_count, input_count). - """ - if core_github__extract_top_projects is None: - context.log.warning("No data found from core_github__extract_top_projects. Returning empty list.") - return [] - - def map_repo(repo): - mapped = {} - for prisma_field, source in GITHUB_TO_PROJECT_MAPPING.items(): - if callable(source): - mapped[prisma_field] = source(repo) - elif isinstance(source, str) and "." in source: - keys = source.split(".") - value = repo - for k in keys: - value = value.get(k, None) if isinstance(value, dict) else None - mapped[prisma_field] = value - elif isinstance(source, str): - mapped[prisma_field] = repo.get(source) - else: - mapped[prisma_field] = source - return mapped - - projects = [map_repo(repo) for repo in core_github__extract_top_projects] - # Build enriched metadata for Dagster UI: include small previews and mapping keys - def _preview_text(s: str, limit: int = 1000) -> str: - if not s: - return "" - try: - if len(s) <= limit: - return s - return s[:limit] + "..." - except Exception: - return "" - - mapped_examples: list[dict] = [] - for p in projects[:3]: - try: - mapped_preview = {k: p.get(k) for k in list(p.keys())[:12]} - mapped_examples.append({ - "repoUrl": p.get("repoUrl"), - "name": p.get("name"), - "description": _preview_text(p.get("description") or "", limit=500), - "mapped_preview": mapped_preview, - }) - except Exception: - mapped_examples.append({"repoUrl": p.get("repoUrl"), "error": "preview_failed"}) - - mapping_keys = list(GITHUB_TO_PROJECT_MAPPING.keys()) - - meta = { - "mapped_count": MetadataValue.int(len(projects)), - "input_count": MetadataValue.int(len(core_github__extract_top_projects)), - "sample": MetadataValue.json(projects[:3]), - "sample_repo_urls": MetadataValue.json([p.get("repoUrl") for p in projects[:3]]), - "mapping_keys": MetadataValue.json(mapping_keys), - "sample_mapped": MetadataValue.json(mapped_examples), - } - context.log.info(f"core_github__table_projects_mapped: mapped={len(projects)} projects; sample_urls={ [p.get('repoUrl') for p in projects[:3]] }; mapping_keys={mapping_keys[:6] }") - return Output(value=projects, metadata=meta) - - -# ---- New assets: fetch languages/topics and map to DB relations ---- - -def _extract_owner_repo(repo_url: str) -> _t.Optional[_t.Tuple[str, str]]: - try: - from urllib.parse import urlparse - p = urlparse(repo_url) - parts = [seg for seg in p.path.split("/") if seg] - if len(parts) >= 2: - return parts[0], parts[1].replace('.git', '') - except Exception: - pass - return None - - -def _load_model(): - # lazy load global model - global _SENTENCE_MODEL - # Return already-loaded model if present - if _SENTENCE_MODEL is not None: - return _SENTENCE_MODEL - - # Import sentence-transformers normally inside the loader (fail-fast if missing) - from sentence_transformers import SentenceTransformer - _SENTENCE_MODEL = SentenceTransformer("sentence-transformers/all-MiniLM-L6-v2") - return _SENTENCE_MODEL - - -def _load_categories_and_embeddings(seed_json_path: str): - global _CATEGORY_EMBS, _CATEGORIES - # Fast fast-path when already computed - if (_CATEGORY_EMBS is not None) and (_CATEGORIES is not None): - return _CATEGORIES, _CATEGORY_EMBS - p = Path(seed_json_path) - cats = [] - if p.exists(): - try: - cats = [c.get("name") for c in json.loads(p.read_text(encoding="utf-8")) if c.get("name")] - except Exception: - cats = [] - if not cats: - cats = ["Other"] - _CATEGORIES = cats - # Require the sentence-transformers model to be present; fail fast if not. - texts = [c for c in cats] - model = _load_model() - try: - embs = model.encode(texts, convert_to_numpy=True, normalize_embeddings=True) - _CATEGORY_EMBS = {cats[i]: embs[i] for i in range(len(cats))} - except Exception as e: - raise RuntimeError(f"Failed to compute category embeddings: {e}") - return _CATEGORIES, _CATEGORY_EMBS - - -def _cosine_sim(a, b) -> float: - # Import numpy lazily to avoid loading its C extensions at module import - # time which can cause SIGBUS when using a multiprocess/fork executor. - import numpy as np - return float(np.dot(a, b)) - - -def _map_topics_to_categories(topics: _t.List[str], seed_json_path: str, top_k: int = 2, thresh: float = 0.55) -> _t.List[str]: - if not topics: - return [] - # Require model and embeddings to be available; let exceptions propagate so the - # caller sees a clear error instead of silently proceeding. - model = _load_model() - _, cat_embs = _load_categories_and_embeddings(seed_json_path) - topic_embs = model.encode(topics, convert_to_numpy=True, normalize_embeddings=True) - matches: set[str] = set() - for te in topic_embs: - best = [] - for name, ce in cat_embs.items(): - score = _cosine_sim(te, ce) - best.append((score, name)) - best.sort(reverse=True, key=lambda x: x[0]) - for score, name in best[:top_k]: - if score >= thresh: - matches.add(name) - return list(matches) - - -def _fetch_repo_languages_and_topics(owner: str, repo: str, headers: dict, session: requests.Session) -> dict: - out = {"languages": [], "topics": []} - try: - lang_url = f"https://api.github.com/repos/{owner}/{repo}/languages" - topics_url = f"https://api.github.com/repos/{owner}/{repo}/topics" - r1 = session.get(lang_url, headers=headers, timeout=10) - if r1.ok: - out["languages"] = list(r1.json().keys()) - except Exception: - pass - try: - r2 = session.get(topics_url, headers={**headers, "Accept": "application/vnd.github.mercy-preview+json"}, timeout=10) - if r2.ok: - json_data = r2.json() - out["topics"] = json_data.get("names") or json_data.get("topics") or [] - except Exception: - pass - return out - - -def _fetch_repo_languages(owner: str, repo: str, headers: dict, session: requests.Session) -> _t.List[str]: - out = [] - try: - lang_url = f"https://api.github.com/repos/{owner}/{repo}/languages" - r = session.get(lang_url, headers=headers, timeout=10) - if r.ok: - out = list(r.json().keys()) - except Exception: - pass - return out - - -def _fetch_repo_topics(owner: str, repo: str, headers: dict, session: requests.Session) -> _t.List[str]: - out = [] - try: - topics_url = f"https://api.github.com/repos/{owner}/{repo}/topics" - r = session.get(topics_url, headers={**headers, "Accept": "application/vnd.github.mercy-preview+json"}, timeout=10) - if r.ok: - json_data = r.json() - out = json_data.get("names") or json_data.get("topics") or [] - except Exception: - pass - return out - - -@asset( - kinds={"python"}, - owners=DEFAULT_OWNERS, - description="Fetch GitHub README for each project (parallel).", - ins={"core_github__table_projects_mapped": AssetIn()}, - group_name="github_projects_scraper", - required_resource_keys={"config"}, -) -def core_github__fetch_readme(context, core_github__table_projects_mapped: _t.List[_t.Dict]): - if not core_github__table_projects_mapped: - return Output(value=[], metadata={"count": MetadataValue.int(0)}) - - token = getattr(context.resources.config, "github_token", None) or os.environ.get("GITHUB_ACCESS_TOKEN") - headers = {"Accept": "application/vnd.github.v3+json"} - if token: - headers["Authorization"] = f"token {token}" - - results = [] - session = requests.Session() - max_workers = int(getattr(context.resources.config, "github_fetch_workers", 8)) - # Limit the number of concurrent threads to reduce contention on Dagster's - # SQLite event log (concurrent thread logging can cause sqlite locking - # errors). Keep at least 1 worker but cap to a conservative value. - max_workers = max(1, min(max_workers, 4)) - with ThreadPoolExecutor(max_workers=max_workers) as ex: - futures = {} - for proj in core_github__table_projects_mapped: - repo_url = proj.get("repoUrl") - owner_repo = _extract_owner_repo(repo_url) if repo_url else None - if owner_repo: - owner, repo = owner_repo - futures[ex.submit(_fetch_readme, owner, repo, headers, session)] = {"project": proj, "repoUrl": repo_url} - for fut in as_completed(futures): - meta = futures[fut] - try: - readme = fut.result() - except Exception as e: - context.log.warning(f"fetch readme failed: {e}") - readme = "" - out = {"project": meta["project"], "repoUrl": meta["repoUrl"], "readme": readme} - results.append(out) - - sample = results[:3] - sample_repo_urls = [r.get("repoUrl") for r in sample] - meta = { - "count": MetadataValue.int(len(results)), - "sample": MetadataValue.json(sample), - "sample_repo_urls": MetadataValue.json(sample_repo_urls), - } - return Output(value=results, metadata=meta) - - -def _fetch_readme(owner: str, repo: str, headers: dict, session: requests.Session) -> str: - out = "" - try: - readme_url = f"https://api.github.com/repos/{owner}/{repo}/readme" - # Prefer raw content when possible - r = session.get(readme_url, headers={**headers, "Accept": "application/vnd.github.v3.raw"}, timeout=10) - if r.ok: - out = r.text - else: - # fallback to JSON which may contain base64 encoded content - r2 = session.get(readme_url, headers=headers, timeout=10) - if r2.ok: - try: - j = r2.json() - content = j.get("content") - encoding = j.get("encoding") - if content and encoding == "base64": - import base64 - - out = base64.b64decode(content.encode("utf-8")).decode("utf-8", errors="ignore") - except Exception: - out = "" - except Exception: - pass - return out - - -@asset( - kinds={"python"}, - owners=DEFAULT_OWNERS, - description="Fetch GitHub /languages for each project (parallel).", - ins={"core_github__table_projects_mapped": AssetIn()}, - group_name="github_projects_scraper", - required_resource_keys={"config"}, -) -def core_github__fetch_repo_languages(context, core_github__table_projects_mapped: _t.List[_t.Dict]): - if not core_github__table_projects_mapped: - return Output(value=[], metadata={"count": MetadataValue.int(0)}) - - token = getattr(context.resources.config, "github_token", None) or os.environ.get("GITHUB_ACCESS_TOKEN") - headers = {"Accept": "application/vnd.github.v3+json"} - if token: - headers["Authorization"] = f"token {token}" - - results = [] - session = requests.Session() - max_workers = int(getattr(context.resources.config, "github_fetch_workers", 8)) - # Cap concurrency to avoid SQLite locking in Dagster's event log. - max_workers = max(1, min(max_workers, 4)) - with ThreadPoolExecutor(max_workers=max_workers) as ex: - futures = {} - for proj in core_github__table_projects_mapped: - repo_url = proj.get("repoUrl") - owner_repo = _extract_owner_repo(repo_url) if repo_url else None - if owner_repo: - owner, repo = owner_repo - futures[ex.submit(_fetch_repo_languages, owner, repo, headers, session)] = {"project": proj, "repoUrl": repo_url} - for fut in as_completed(futures): - meta = futures[fut] - try: - langs = fut.result() - except Exception as e: - context.log.warning(f"fetch languages failed: {e}") - langs = [] - out = {"project": meta["project"], "repoUrl": meta["repoUrl"], "languages": langs} - results.append(out) - # include small samples in metadata for debugging - sample = results[:3] - sample_repo_urls = [r.get("repoUrl") for r in sample] - sample_languages = [r.get("languages") for r in sample] - meta = { - "count": MetadataValue.int(len(results)), - "sample": MetadataValue.json(sample), - "sample_repo_urls": MetadataValue.json(sample_repo_urls), - "sample_languages": MetadataValue.json(sample_languages), - } - return Output(value=results, metadata=meta) - - -@asset( - kinds={"python"}, - owners=DEFAULT_OWNERS, - description="Fetch GitHub /topics for each project (parallel).", - ins={"core_github__table_projects_mapped": AssetIn()}, - group_name="github_projects_scraper", - required_resource_keys={"config"}, -) -def core_github__fetch_repo_topics(context, core_github__table_projects_mapped: _t.List[_t.Dict]): - if not core_github__table_projects_mapped: - return Output(value=[], metadata={"count": MetadataValue.int(0)}) - - token = getattr(context.resources.config, "github_token", None) or os.environ.get("GITHUB_ACCESS_TOKEN") - headers = {"Accept": "application/vnd.github.v3+json"} - if token: - headers["Authorization"] = f"token {token}" - - results = [] - session = requests.Session() - max_workers = int(getattr(context.resources.config, "github_fetch_workers", 8)) - # Cap concurrency to avoid SQLite locking in Dagster's event log. - max_workers = max(1, min(max_workers, 4)) - with ThreadPoolExecutor(max_workers=max_workers) as ex: - futures = {} - for proj in core_github__table_projects_mapped: - repo_url = proj.get("repoUrl") - owner_repo = _extract_owner_repo(repo_url) if repo_url else None - if owner_repo: - owner, repo = owner_repo - futures[ex.submit(_fetch_repo_topics, owner, repo, headers, session)] = {"project": proj, "repoUrl": repo_url} - for fut in as_completed(futures): - meta = futures[fut] - try: - topics = fut.result() - except Exception as e: - context.log.warning(f"fetch topics failed: {e}") - topics = [] - out = {"project": meta["project"], "repoUrl": meta["repoUrl"], "topics": topics} - results.append(out) - # include small samples in metadata for debugging - sample = results[:3] - sample_repo_urls = [r.get("repoUrl") for r in sample] - sample_topics = [r.get("topics") for r in sample] - meta = { - "count": MetadataValue.int(len(results)), - "sample": MetadataValue.json(sample), - "sample_repo_urls": MetadataValue.json(sample_repo_urls), - "sample_topics": MetadataValue.json(sample_topics), - } - return Output(value=results, metadata=meta) - - -@asset( - kinds={"python"}, - owners=DEFAULT_OWNERS, - description="Merge languages, topics and readme by repoUrl into a single repo_meta structure.", - ins={ - "langs": AssetIn("core_github__fetch_repo_languages"), - "topics": AssetIn("core_github__fetch_repo_topics"), - "readmes": AssetIn("core_github__fetch_readme"), - }, - group_name="github_projects_scraper", - required_resource_keys={"config"}, -) -def core_github__merge_repo_meta(context, langs, topics, readmes): - # langs and topics are lists of {project, repoUrl, languages} / {project, repoUrl, topics} - if not langs and not topics: - return Output(value=[], metadata={"count": MetadataValue.int(0)}) - - by_url = {} - for item in (langs or []): - url = item.get("repoUrl") - if not url: - continue - by_url.setdefault(url, {}) - by_url[url].setdefault("project", item.get("project")) - by_url[url]["languages"] = item.get("languages") or [] - # also preserve any description present on the mapped project dict - try: - proj = by_url[url].get("project") or {} - if isinstance(proj, dict): - desc = proj.get("description") - if desc: - by_url[url]["description"] = desc - except Exception: - pass - - for item in (topics or []): - url = item.get("repoUrl") - if not url: - continue - by_url.setdefault(url, {}) - # prefer existing project record from langs, else take from topics - if "project" not in by_url[url]: - by_url[url]["project"] = item.get("project") - by_url[url]["topics"] = item.get("topics") or [] - - # incorporate readme fetch results (separate asset) - for item in (readmes or []): - url = item.get("repoUrl") - if not url: - continue - by_url.setdefault(url, {}) - # attach raw readme text for use in embeddings/context - by_url[url]["readme"] = item.get("readme") or "" - - results = [] - for url, data in by_url.items(): - results.append({ - "project": data.get("project"), - "repoUrl": url, - "languages": data.get("languages") or [], - "topics": data.get("topics") or [], - "description": data.get("description") or (data.get("project") or {}).get("description"), - "readme": data.get("readme") or (data.get("project") or {}).get("readme"), - }) - - # include small samples and counts in metadata for easier debugging in the Dagster UI - sample = results[:3] - sample_repo_urls = [r.get("repoUrl") for r in sample] - sample_languages = [r.get("languages") for r in sample] - sample_topics = [r.get("topics") for r in sample] - meta = { - "count": MetadataValue.int(len(results)), - "sample": MetadataValue.json(sample), - "sample_repo_urls": MetadataValue.json(sample_repo_urls), - "sample_languages": MetadataValue.json(sample_languages), - "sample_topics": MetadataValue.json(sample_topics), - } - context.log.info(f"core_github__merge_repo_meta: merged {len(results)} repos; sample_urls={sample_repo_urls}") - return Output(value=results, metadata=meta) - - -@asset( - kinds={"python"}, - owners=DEFAULT_OWNERS, - description="Normalize description/readme text for embedding (lowercase + strip punctuation).", - ins={"repo_meta": AssetIn("core_github__merge_repo_meta")}, - group_name="github_projects_scraper", - required_resource_keys={"config"}, -) -def core_github__normalize_repo_meta(context, repo_meta: _t.List[_t.Dict]): - """Produce a normalized version of repo_meta suitable for embeddings. - - Adds fields to each item: `clean_description`, `clean_readme`, `clean_context`. - `clean_context` is a concatenation of cleaned description/readme and a few - project fields, truncated to a safe length. - """ - if not repo_meta: - return Output(value=[], metadata={"count": MetadataValue.int(0)}) - - def _clean_text_for_embedding(s: str, max_len: int = 8000) -> str: - if not s: - return "" - # Lowercase - s = s.lower() - # Remove punctuation (keep alphanumerics and whitespace) - s = re.sub(r"[^0-9a-z\s]", " ", s) - # Collapse whitespace - s = re.sub(r"\s+", " ", s).strip() - # Truncate - if len(s) > max_len: - return s[:max_len] + "..." - return s - - out = [] - for item in repo_meta: - try: - proj = item.get("project") or {} - desc = item.get("description") or (proj.get("description") if isinstance(proj, dict) else None) - readme = item.get("readme") or (proj.get("readme") if isinstance(proj, dict) else None) - # Build a combined context then clean - parts = [] - if isinstance(desc, str) and desc.strip(): - parts.append(desc.strip()) - if isinstance(readme, str) and readme.strip(): - parts.append(readme.strip()) - # Also include small textual fields from mapped project if present - if isinstance(proj, dict): - for k in ("combined_text", "readme", "description", "name"): - v = proj.get(k) - if isinstance(v, str) and v.strip(): - parts.append(v.strip()) - context_text = "\n".join(parts).strip() - clean_desc = _clean_text_for_embedding(desc or "") - clean_readme = _clean_text_for_embedding(readme or "") - clean_context = _clean_text_for_embedding(context_text or "") - new_item = dict(item) - new_item["clean_description"] = clean_desc - new_item["clean_readme"] = clean_readme - new_item["clean_context"] = clean_context - out.append(new_item) - except Exception as e: - context.log.exception(f"core_github__normalize_repo_meta: failed for repo {item.get('repoUrl')}: {e}") - # still append original item to maintain pipeline shape - out.append(item) - - # small metadata sample - sample = out[:3] - meta = { - "count": MetadataValue.int(len(out)), - "sample": MetadataValue.json(sample), - "sample_repo_urls": MetadataValue.json([r.get("repoUrl") for r in sample]), - } - return Output(value=out, metadata=meta) - - - -@asset( - kinds={"python"}, - owners=DEFAULT_OWNERS, - description="Map fetched languages to tech_stack and create project_tech_stack relations.", - ins={"repo_meta": AssetIn("core_github__normalize_repo_meta")}, - group_name="github_projects_scraper", - required_resource_keys={"config"}, -) -def core_github__map_languages_to_techstacks(context, repo_meta: _t.List[_t.Dict]): - if not repo_meta: - return Output(value={"mapped": 0}) - - mapped = 0 - errors = 0 - def _normalize(s: str) -> str: - return s.lower().strip().replace("_", " ").replace("-", " ").replace(".", " ") - - with prisma_client() as prisma: - # use module-level _find_model - - # Try the likely attribute names (match seed/ts usage and prisma-python variants) - model_ts = _find_model(prisma, ["tech_stack", "TechStack", "techStack", "techstack"]) - if model_ts is None: - context.log.exception("core_github__map_languages_to_techstacks: TechStack model not found on Prisma client; did you run `prisma generate`?") - return Output(value={"mapped": 0}, metadata={"mapped": MetadataValue.int(0), "errors": MetadataValue.int(1)}) - try: - all_ts = model_ts.find_many() - except Exception as e: - context.log.exception(f"core_github__map_languages_to_techstacks: failed to load tech_stack rows: {e}") - return Output(value={"mapped": 0}, metadata={"mapped": MetadataValue.int(0), "errors": MetadataValue.int(1)}) - - # Resolve Project and ProjectTechStack models dynamically as well - project_model = _find_model(prisma, ["project", "Project"]) or _find_model(prisma, ["project_model"]) - if project_model is None: - context.log.exception("core_github__map_languages_to_techstacks: Project model not found on Prisma client") - return Output(value={"mapped": 0}, metadata={"mapped": MetadataValue.int(0), "errors": MetadataValue.int(1)}) - - pts_model = _find_model(prisma, ["project_tech_stack", "ProjectTechStack", "projectTechStack", "projecttechstack"]) - if pts_model is None: - context.log.exception("core_github__map_languages_to_techstacks: ProjectTechStack model not found on Prisma client; did you run `prisma generate`?") - return Output(value={"mapped": 0}, metadata={"mapped": MetadataValue.int(0), "errors": MetadataValue.int(1)}) - - ts_map: dict[str, dict] = {} - for ts in all_ts or []: - key = _normalize(ts.name) - ts_map.setdefault(key, []).append(ts) - - # collect small examples of what we matched/created for Dagster metadata - mapped_examples: list[dict] = [] - unmatched_count = 0 - for item in repo_meta: - try: - proj = item.get("project") - repoUrl = item.get("repoUrl") - raw_langs = [l for l in (item.get("languages") or []) if isinstance(l, str)] - if not proj or not raw_langs: - continue - # per-repo created counter and matched names list for examples - repo_created = 0 - repo_matched_names: list[str] = [] - project_rec = project_model.find_first(where={"repoUrl": repoUrl}) - if not project_rec: - context.log.debug(f"core_github__map_languages_to_techstacks: no project found for repoUrl={repoUrl}") - continue - - # Normalize and attempt to match each language against seeded tech_stack - for lang in raw_langs: - nlang = _normalize(lang) - matched = [] - # direct normalized match - if nlang in ts_map: - matched = ts_map[nlang] - else: - # fuzzy-ish: check containment both ways - for k, ts_list in ts_map.items(): - if nlang in k or k in nlang: - matched.extend(ts_list) - - # create relations for matched tech stacks only (do NOT create TechStack) - for ts in matched: - exists = pts_model.find_first(where={"projectId": project_rec.id, "techStackId": ts.id}) - if not exists: - pts_model.create(data={"projectId": project_rec.id, "techStackId": ts.id}) - mapped += 1 - repo_created += 1 - # record matched ts name for example output - repo_matched_names.append(getattr(ts, "name", str(ts.id))) - - # If nothing matched at all, count as unmatched - if not repo_matched_names: - unmatched_count += 1 - - # capture a small example for metadata (keep first few) - if len(mapped_examples) < 3: - mapped_examples.append({ - "repoUrl": repoUrl, - "input_languages": raw_langs, - "matched": list(dict.fromkeys(repo_matched_names)), - "created": repo_created, - }) - except Exception as e: - errors += 1 - context.log.exception( - f"core_github__map_languages_to_techstacks: error processing repoUrl={item.get('repoUrl')} languages={item.get('languages')}: {e}" - ) - continue - - meta = {"mapped": mapped, "input_count": len(repo_meta), "errors": errors} - # include small sample examples for debugging in Dagster UI - meta = { - "mapped": MetadataValue.int(mapped), - "unmatched_count": MetadataValue.int(unmatched_count), - "input_count": MetadataValue.int(len(repo_meta)), - "errors": MetadataValue.int(errors), - "sample_mapped": MetadataValue.json(mapped_examples[:3]), - } - context.log.info(f"core_github__map_languages_to_techstacks: mapped={mapped} relations across {len(repo_meta)} repos; unmatched={unmatched_count}; sample={ [e.get('repoUrl') for e in mapped_examples[:3]] }") - return Output(value={"mapped": mapped}, metadata=meta) - - -@asset( - kinds={"python"}, - owners=DEFAULT_OWNERS, - description="Map fetched topics to categories using sentence-transformers and create project_category relations.", - ins={"repo_meta": AssetIn("core_github__normalize_repo_meta")}, - group_name="github_projects_scraper", - required_resource_keys={"config"}, -) -def core_github__map_topics_to_categories(context, repo_meta: _t.List[_t.Dict]): - if not repo_meta: - return Output(value={"mapped": 0}) - seed_json_path = getattr(context.resources.config, "categories_seed_path", "") - mapped = 0 - errors = 0 - def _normalize(s: str) -> str: - # Normalize to lowercase and replace common separators to improve matching - return s.lower().strip().replace("_", " ").replace("-", " ").replace(".", " ") - - with prisma_client() as prisma: - # Resolve models we need (Project, Category, ProjectCategory) - project_model = _find_model(prisma, ["project", "Project"]) or _find_model(prisma, ["project_model"]) - if project_model is None: - context.log.exception("core_github__map_topics_to_categories: Project model not found on Prisma client") - return Output(value={"mapped": 0}, metadata={"mapped": MetadataValue.int(0), "errors": MetadataValue.int(1)}) - - category_model = _find_model(prisma, ["category", "Category"]) or _find_model(prisma, ["cat", "category_model"]) - if category_model is None: - context.log.exception("core_github__map_topics_to_categories: Category model not found on Prisma client") - return Output(value={"mapped": 0}, metadata={"mapped": MetadataValue.int(0), "errors": MetadataValue.int(1)}) - - pc_model = _find_model(prisma, ["project_category", "ProjectCategory", "projectCategory", "projectcategory"]) - if pc_model is None: - context.log.exception("core_github__map_topics_to_categories: ProjectCategory model not found on Prisma client; did you run `prisma generate`?") - return Output(value={"mapped": 0}, metadata={"mapped": MetadataValue.int(0), "errors": MetadataValue.int(1)}) - - # Preload categories and compute embeddings from DB names (helper) - cat_objs, cat_embs, model = _get_db_category_embeddings(category_model, context) - if not cat_objs or cat_embs is None or model is None: - context.log.info("core_github__map_topics_to_categories: no category embeddings available; nothing to map.") - return Output(value={"mapped": 0}, metadata={"mapped": MetadataValue.int(0), "errors": MetadataValue.int(0)}) - - # collect small examples for metadata - mapped_examples: list[dict] = [] - unmatched_count = 0 - for item in repo_meta: - try: - proj = item.get("project") - repoUrl = item.get("repoUrl") - topics = [t.replace("-", " ").strip() for t in (item.get("topics") or []) if isinstance(t, str)] - if not proj or not topics: - continue - project_rec = project_model.find_first(where={"repoUrl": repoUrl}) - if not project_rec: - continue - - # Compute topic embeddings and compare against DB category embeddings - try: - - # Topics embeddings: incorporate pre-cleaned context produced by - # `core_github__normalize_repo_meta` when available (clean_context). - # This avoids duplicating cleaning logic here and ensures a single - # normalized text source across the pipeline. - # encode topics - topic_embs = model.encode(topics, convert_to_numpy=True, normalize_embeddings=True) - if hasattr(topic_embs, "ndim") and topic_embs.ndim == 1: - # single topic -> make it 2D - topic_embs = topic_embs.reshape(1, -1) - - # encode pre-cleaned context text if present - ctx_vec = None - try: - clean_ctx = item.get("clean_context") or "" - if isinstance(clean_ctx, str) and clean_ctx.strip(): - ctx_emb = model.encode([clean_ctx], convert_to_numpy=True, normalize_embeddings=True) - if hasattr(ctx_emb, "ndim"): - if ctx_emb.ndim == 2: - ctx_vec = ctx_emb[0] - elif ctx_emb.ndim == 1: - ctx_vec = ctx_emb - except Exception as e: - context.log.debug(f"core_github__map_topics_to_categories: failed to encode clean_context for repoUrl={repoUrl}: {e}") - - # aggregate topic embeddings (and optional context) to get a - # single vector representing the repo topics+context - # Import numpy locally to avoid loading C-extensions at - # module import time (prevent SIGBUS in forked children). - import numpy as np - if ctx_vec is not None: - try: - topic_vec = np.mean(np.vstack([topic_embs, ctx_vec]), axis=0) - except Exception: - topic_vec = topic_embs.mean(axis=0) - else: - topic_vec = topic_embs.mean(axis=0) - - # compute similarities to each category embedding - scores = np.dot(cat_embs, topic_vec) - best_idx = int(np.argmax(scores)) - best_score = float(scores[best_idx]) - # threshold to avoid spurious matches - THRESH = float(getattr(context.resources.config, "categories_match_thresh", 0.56)) - match_mode = None - if best_score >= THRESH: - # confident embedding match - found = [cat_objs[best_idx]] - match_mode = "embedding" - else: - # fallback: try simple text-token heuristics between topics and category names - # prepare normalized category texts - cat_texts = [getattr(c, "name", "") for c in cat_objs] - cat_norms = [ _normalize(t) for t in cat_texts ] - topics_norm = [ _normalize(t) for t in topics ] - best_fallback_idx = None - best_overlap = 0 - for ti, tnorm in enumerate(topics_norm): - for ci, cnorm in enumerate(cat_norms): - # direct containment (topic in category name or vice versa) - if tnorm and (tnorm in cnorm or cnorm in tnorm): - best_fallback_idx = ci - best_overlap = max(best_overlap, 1) - continue - # word overlap - tokens_t = set([w for w in re.split(r"\s+", tnorm) if w]) - tokens_c = set([w for w in re.split(r"\s+", cnorm) if w]) - overlap = len(tokens_t & tokens_c) - if overlap > best_overlap: - best_overlap = overlap - best_fallback_idx = ci - if best_fallback_idx is not None and best_overlap > 0: - found = [cat_objs[best_fallback_idx]] - match_mode = "text_fallback" - else: - found = [] - except Exception as e: - context.log.exception(f"core_github__map_topics_to_categories: failed to compute topic embeddings or similarity for repoUrl={repoUrl}: {e}") - found = [] - # per-repo created counter and matched list for examples - repo_created = 0 - repo_matched: list[str] = [] - for cat in found or []: - exists = pc_model.find_first(where={"projectId": project_rec.id, "categoryId": cat.id}) - if not exists: - pc_model.create(data={"projectId": project_rec.id, "categoryId": cat.id}) - mapped += 1 - repo_created += 1 - # record actual category name from DB (may be normalized) - repo_matched.append(getattr(cat, "name", str(cat.id))) - - # If nothing matched at all, count as unmatched - if not found: - unmatched_count += 1 - - # capture a small example for metadata (keep first few) - if len(mapped_examples) < 3: - # Include short previews of description/readme in the sample so the - # Dagster UI can show context for why a category was chosen. We keep - # previews reasonably sized to avoid bloating the metadata UI. - def _preview_text(s: str, limit: int = 2000) -> str: - if not s: - return "" - try: - if len(s) <= limit: - return s - return s[:limit] + "..." - except Exception: - return "" - - proj_desc = None - proj_readme = None - # mapped_project may not be defined in this scope if we relied on - # the centralized clean_context; ensure we read from item.project - mapped_project = item.get("project") or {} - try: - proj_desc = item.get("description") or (mapped_project or {}).get("description") - proj_readme = item.get("readme") or (mapped_project or {}).get("readme") - except Exception: - proj_desc = None - proj_readme = None - - mapped_examples.append({ - "repoUrl": repoUrl, - "input_topics": topics, - "matched": list(dict.fromkeys(repo_matched)), - "created": repo_created, - "score": float(best_score) if 'best_score' in locals() else None, - "description": _preview_text(proj_desc) if isinstance(proj_desc, str) else None, - "readme": _preview_text(proj_readme) if isinstance(proj_readme, str) else None, - }) - except Exception as e: - errors += 1 - context.log.exception(f"core_github__map_topics_to_categories: error processing repoUrl={item.get('repoUrl')} topics={item.get('topics')}: {e}") - continue - - meta = { - "mapped": MetadataValue.int(mapped), - "unmatched_count": MetadataValue.int(unmatched_count), - "input_count": MetadataValue.int(len(repo_meta)), - "errors": MetadataValue.int(errors), - "sample_mapped": MetadataValue.json(mapped_examples[:3]), - } - context.log.info(f"core_github__map_topics_to_categories: mapped={mapped} relations across {len(repo_meta)} repos; unmatched={unmatched_count}; sample={ [e.get('repoUrl') for e in mapped_examples[:3]] }") - return Output(value={"mapped": mapped}, metadata=meta) diff --git a/src/pipeline/assets/out/asset_checks.py b/src/pipeline/assets/out/asset_checks.py deleted file mode 100644 index ac3b336f..00000000 --- a/src/pipeline/assets/out/asset_checks.py +++ /dev/null @@ -1,39 +0,0 @@ -"""Cleaned asset checks - scaffold. - -Add cleaned-related quality checks here later. -""" - -from dagster import ( - asset_check, - AssetCheckResult, - MetadataValue, -) - -__all__ = [] - - -@asset_check( - asset="out_github__table_projects_db", - name="out_github__table_projects_db_counts_valid", -) -def out_github__table_projects_db_counts_valid(context, out_github__table_projects_db): - """Validate the DB upsert result contains integer inserted/updated counts >= 0.""" - if not isinstance(out_github__table_projects_db, dict): - msg = "Output is not a dict/result mapping." - context.log.error(msg) - return AssetCheckResult(passed=False, description=msg, metadata={"type": MetadataValue.text(str(type(out_github__table_projects_db)))}) - - inserted = out_github__table_projects_db.get("inserted") - updated = out_github__table_projects_db.get("updated") - - try: - ok = isinstance(inserted, int) and inserted >= 0 and isinstance(updated, int) and updated >= 0 - except Exception: - ok = False - - if not ok: - msg = "Inserted/updated counts are missing or invalid." - context.log.error(msg) - return AssetCheckResult(passed=False, description=msg, metadata={"inserted": MetadataValue.text(str(inserted)), "updated": MetadataValue.text(str(updated))}) - - return AssetCheckResult(passed=True, description=f"DB upsert counts valid (inserted={inserted}, updated={updated}).", metadata={"inserted": MetadataValue.int(inserted), "updated": MetadataValue.int(updated)}) diff --git a/src/pipeline/assets/out/assets.py b/src/pipeline/assets/out/assets.py deleted file mode 100644 index 48307b5a..00000000 --- a/src/pipeline/assets/out/assets.py +++ /dev/null @@ -1,158 +0,0 @@ -import typing as _t - -from dagster import asset, AssetIn, MetadataValue, Output - -from src.pipeline.utils import prisma_client - -DEFAULT_OWNERS = ["team:OST/spideyai-X"] - - -@asset( - kinds={"python", "postgres"}, - owners=DEFAULT_OWNERS, - group_name="github_projects_scraper", - description=( - "Upsert mapped projects into the Project table via Prisma. " - "Skips items missing `repoUrl`. Returns counts of inserted/updated." - ), - ins={"core_github__table_projects_mapped": AssetIn()}, -) -def out_github__table_projects_db(context, core_github__table_projects_mapped: _t.List[_t.Dict]): - """Upsert mapped projects into the Project table using Prisma. - - - Skips items missing `repoUrl`. - - Updates when a matching `repoUrl` exists, otherwise creates. - - Returns a dict with inserted/updated counters and metadata. - """ - inserted = 0 - updated = 0 - errors: list[tuple[int, str]] = [] - - with prisma_client() as prisma: - # If the Prisma client couldn't be initialized (e.g. binary missing or - # incompatible), prisma_client yields None. In that case we avoid - # attempting DB writes from the child process to prevent crashes and - # instead log and return a diagnostic metadata payload. - if prisma is None: - context.log.error("out_github__table_projects_db: Prisma client unavailable; skipping DB writes in this run.") - # Return counts=0 and error flag so downstream checks fail fast but - # the worker doesn't crash with SIGBUS. - result_value = {"inserted": 0, "updated": 0} - return Output(value=result_value, metadata={ - "inserted_count": MetadataValue.int(0), - "updated_count": MetadataValue.int(0), - "error_count": MetadataValue.int(len(core_github__table_projects_mapped or [])), - "note": MetadataValue.text("Prisma client unavailable; writes skipped."), - }) - - for i, project in enumerate(core_github__table_projects_mapped or []): - repo_url = project.get("repoUrl") - if not repo_url: - context.log.warning(f"Skipping project {i}: missing repoUrl (required for insert).") - errors.append((i, "missing_repoUrl")) - continue - - project_data = {k: v for k, v in project.items() if v is not None} - - try: - # Try to find an existing project by repoUrl - existing = None - try: - existing = prisma.project.find_first(where={"repoUrl": repo_url}) - except Exception: - try: - existing = prisma.project.find_unique(where={"repoUrl": repo_url}) - except Exception: - existing = None - - if existing: - try: - # Update by primary key (id) to avoid relying on - # non-unique fields in the `where` clause which the - # Prisma query engine may reject. Use the found - # record's id if available. - # Try to obtain the primary key `id` from the returned object. - # The Prisma client may return either a model-like object or a - # dict-like mapping depending on client version/config — try - # both safely. - existing_id = None - try: - existing_id = getattr(existing, "id", None) - except Exception: - existing_id = None - if existing_id is None and isinstance(existing, dict): - existing_id = existing.get("id") - - if existing_id: - # Ensure we don't accidentally try to update the id field - data = {k: v for k, v in project_data.items() if k != "id"} - prisma.project.update(where={"id": existing_id}, data=data) - updated += 1 - else: - # No id available: update by a non-unique field with - # update_many so the Prisma engine does not require a - # unique `where` clause. This updates all matching - # rows and returns a dict with `count` in newer - # prisma-client-py versions. If update_many is not - # available or fails, catch the error and record it. - try: - # Diagnostic log to help debugging the returned - # 'existing' shape in the logs. - context.log.debug(f"out_github__table_projects_db: existing record for repoUrl={repo_url} has no id; type={type(existing)}; repr={repr(existing)[:200]}") - res = None - try: - res = prisma.project.update_many(where={"repoUrl": repo_url}, data=project_data) - except Exception: - # Some prisma client versions expose update_many - # on the model or on the client differently; try - # calling via the client directly if available. - res = prisma.execute_raw - # If update_many returned a count, increment updated - try: - # res may be a dict-like with 'count' or an int - count = None - if isinstance(res, dict): - count = res.get("count") - elif isinstance(res, int): - count = res - if count: - updated += int(count) - else: - # unknown result: count as a single update - updated += 1 - except Exception: - updated += 1 - except Exception as e: - context.log.error(f"Error updating (fallback) project {i} (repoUrl={repo_url}): {e}") - errors.append((i, f"update_error: {e}")) - except Exception as e: - context.log.error(f"Error updating project {i} (repoUrl={repo_url}): {e}") - errors.append((i, f"update_error: {e}")) - else: - try: - # Ensure we do not pass an explicit id when creating - data = {k: v for k, v in project_data.items() if k != "id"} - prisma.project.create(data=data) - inserted += 1 - except Exception as e: - context.log.error(f"Error inserting project {i} (repoUrl={repo_url}): {e}") - errors.append((i, f"create_error: {e}")) - - except Exception as e: - context.log.exception(f"Unexpected error processing project {i} (repoUrl={repo_url})") - errors.append((i, str(e))) - - context.log.info(f"{inserted} projects inserted, {updated} projects updated into the Project table.") - if errors: - context.log.warning(f"{len(errors)} insert/update errors: {errors[:3]}") - - result_value = {"inserted": inserted, "updated": updated} - return Output(value=result_value, metadata={ - "inserted_count": MetadataValue.int(inserted), - "updated_count": MetadataValue.int(updated), - "error_count": MetadataValue.int(len(errors)), - "first_error": MetadataValue.text(errors[0][1]) if errors else MetadataValue.null(), - }) - - -__all__ = ["out_github__table_projects_db"] diff --git a/src/pipeline/assets/raw/asset_checks.py b/src/pipeline/assets/raw/asset_checks.py deleted file mode 100644 index 50819d85..00000000 --- a/src/pipeline/assets/raw/asset_checks.py +++ /dev/null @@ -1,101 +0,0 @@ -from dagster import ( - asset_check, - AssetCheckResult, - MetadataValue, -) - - -@asset_check( - asset="core_github__extract_top_projects", - name="core_github__extract_top_projects_description_is_not_empty", -) -def core_github__extract_top_projects_description_is_not_empty(context, core_github__extract_top_projects): - """Check that each project has a non-empty description. - - Returns detailed metadata to help debugging. - """ - # Accept list or DataFrame - import pandas as pd - - if isinstance(core_github__extract_top_projects, pd.DataFrame): - core_list = core_github__extract_top_projects.to_dict(orient="records") - elif isinstance(core_github__extract_top_projects, list): - core_list = core_github__extract_top_projects - else: - msg = "Input to check is not a list or DataFrame." - context.log.error(msg) - return AssetCheckResult( - passed=False, - description=msg, - metadata={ - "type": MetadataValue.text(str(type(core_github__extract_top_projects))), - "count": MetadataValue.null(), - }, - ) - - missing_indices = [] - missing_examples = [] - for i, project in enumerate(core_list): - if project.get("description") in (None, ""): - missing_indices.append(i) - if len(missing_examples) < 5: - example_title = project.get("name") or project.get("full_name") or project.get("title") or project.get("repoUrl") - missing_examples.append({"index": i, "example": example_title}) - - metadata = { - "missing_count": MetadataValue.int(len(missing_indices)), - "missing_indices": MetadataValue.json(missing_indices[:50]), - "missing_examples": MetadataValue.json(missing_examples), - "total": MetadataValue.int(len(core_list)), - } - - if missing_indices: - msg = f"{len(missing_indices)} project(s) missing description." - context.log.error(msg) - metadata["error"] = MetadataValue.text(msg) - return AssetCheckResult(passed=False, description=msg, metadata=metadata) - - msg = "All projects have a non-empty description." - context.log.info(msg) - metadata["info"] = MetadataValue.text(msg) - return AssetCheckResult(passed=True, description=msg, metadata=metadata) - - -@asset_check( - asset="raw_github__extract_projects", - name="raw_github__extract_projects_non_empty", -) -def raw_github__extract_projects_non_empty(context, raw_github__extract_projects): - """Ensure the GitHub scraper returned a non-empty list of projects.""" - if not isinstance(raw_github__extract_projects, list): - msg = "Output is not a list." - context.log.error(msg) - return AssetCheckResult(passed=False, description=msg, metadata={"type": MetadataValue.text(str(type(raw_github__extract_projects)))} ) - - count = len(raw_github__extract_projects) - if count == 0: - msg = "GitHub scraper returned no projects." - context.log.error(msg) - return AssetCheckResult(passed=False, description=msg, metadata={"project_count": MetadataValue.int(0)}) - - return AssetCheckResult(passed=True, description=f"GitHub scraper returned {count} projects.", metadata={"project_count": MetadataValue.int(count)}) - - -@asset_check( - asset="raw_gitlab__extract_projects", - name="raw_gitlab__extract_projects_non_empty", -) -def raw_gitlab__extract_projects_non_empty(context, raw_gitlab__extract_projects): - """Ensure the GitLab scraper returned a non-empty list of projects.""" - if not isinstance(raw_gitlab__extract_projects, list): - msg = "Output is not a list." - context.log.error(msg) - return AssetCheckResult(passed=False, description=msg, metadata={"type": MetadataValue.text(str(type(raw_gitlab__extract_projects)))} ) - - count = len(raw_gitlab__extract_projects) - if count == 0: - msg = "GitLab scraper returned no projects." - context.log.error(msg) - return AssetCheckResult(passed=False, description=msg, metadata={"project_count": MetadataValue.int(0)}) - - return AssetCheckResult(passed=True, description=f"GitLab scraper returned {count} projects.", metadata={"project_count": MetadataValue.int(count)}) diff --git a/src/pipeline/assets/raw/assets.py b/src/pipeline/assets/raw/assets.py deleted file mode 100644 index 2d7c02e0..00000000 --- a/src/pipeline/assets/raw/assets.py +++ /dev/null @@ -1,129 +0,0 @@ -import os -import json -import subprocess -from contextlib import contextmanager - -from dagster import ( - asset, - AssetIn, - MetadataValue, - Output, -) - -# Dagster resources -from src.pipeline.resources.cfg_resource import build_scraper_env -from src.pipeline.resources.map.mapping_map import ( - GITLAB_TO_PROJECT_MAPPING, -) - -DEFAULT_OWNERS = ["team:OST/spideyai-X"] - - -@asset( - kinds={"go", "github"}, - owners=DEFAULT_OWNERS, - group_name="github_projects_scraper", - required_resource_keys={"config"}, -) -def raw_github__extract_projects(context): - """Run the GitHub Go scraper and return scraped projects. - - Description: - - Executes the compiled Go `github-scraper` binary. - - Parses stdout as JSON and returns a list of project dicts. - - Emits metadata: project_count, first_project. - """ - cfg = context.resources.config - env = build_scraper_env(cfg) - context.log.info(f"GITHUB_SCRAPING_QUERY to Go: '{env['GITHUB_SCRAPING_QUERY']}'") - try: - result = subprocess.run([ - "/app/github-scraper" - ], capture_output=True, text=True, env=env, cwd="/app", timeout=120) - stdout = (result.stdout or "").strip() - stderr = (result.stderr or "").strip() - if result.returncode != 0: - context.log.error(f"GitHub scraper exited with code {result.returncode}") - context.log.error(f"GitHub scraper stdout: {stdout}") - context.log.error(f"GitHub scraper stderr: {stderr}") - raise RuntimeError(f"GitHub scraper failed (exit {result.returncode}). See logs for stdout/stderr") - context.log.info(f"GitHub scraper raw output: {stdout[:500]}") - parsed = json.loads(stdout) - if isinstance(parsed, dict) and "items" in parsed: - projects = parsed["items"] - elif isinstance(parsed, list): - projects = parsed - else: - projects = [] - count = len(projects) - context.log.info(f"[DEBUG] github_scraper_asset: {count} projects scraped. Example: {projects[:1]}") - return Output( - value=projects, - metadata={ - "project_count": MetadataValue.int(count), - "first_project": MetadataValue.json(projects[:1]) if projects else MetadataValue.null(), - }, - ) - except OSError as e: - context.log.error(f"GitHub scraper OSError: {e}") - return Output(value=[], metadata={"project_count": MetadataValue.int(0), "error": MetadataValue.text(str(e))}) - except Exception as e: - context.log.exception("GitHub scraper error") - return Output(value=[], metadata={"project_count": MetadataValue.int(0), "error": MetadataValue.text(str(e))}) - - - - - -@asset( - kinds={"go", "gitlab"}, - owners=DEFAULT_OWNERS, - group_name="gitlab", - required_resource_keys={"config"}, -) -def raw_gitlab__extract_projects(context): - """Run the GitLab Go scraper and return scraped projects. - - Description: - - Executes the compiled Go `gitlab-scraper` binary. - - Parses stdout as JSON and returns a list of project dicts. - - Emits metadata: project_count, first_project. - """ - cfg = context.resources.config - env = build_scraper_env(cfg) - context.log.info(f"GITLAB_SCRAPING_QUERY transmis au process Go: '{env['GITLAB_SCRAPING_QUERY']}'") - context.log.info(f"GITLAB_PROJECTS_VISIBILITY: {env['GITLAB_PROJECTS_VISIBILITY']}, ARCHIVED: {env['GITLAB_PROJECTS_ARCHIVED']}, ORDER_BY: {env['GITLAB_PROJECTS_ORDER_BY']}, SORT: {env['GITLAB_PROJECTS_SORT']}") - try: - result = subprocess.run([ - "/app/gitlab-scraper" - ], capture_output=True, text=True, env=env, cwd="/app", timeout=120) - stdout = (result.stdout or "").strip() - stderr = (result.stderr or "").strip() - if result.returncode != 0: - context.log.error(f"GitLab scraper exited with code {result.returncode}") - context.log.error(f"GitLab scraper stdout: {stdout}") - context.log.error(f"GitLab scraper stderr: {stderr}") - raise RuntimeError(f"GitLab scraper failed (exit {result.returncode}). See logs for stdout/stderr") - context.log.info(f"GitLab scraper raw output: {stdout[:500]}") - parsed = json.loads(stdout) - if isinstance(parsed, dict) and "items" in parsed: - projects = parsed["items"] - elif isinstance(parsed, list): - projects = parsed - else: - projects = [] - count = len(projects) - context.log.info(f"[DEBUG] gitlab_scraper_asset: {count} projects scraped. Example: {projects[:1]}") - return Output( - value=projects, - metadata={ - "project_count": MetadataValue.int(count), - "first_project": MetadataValue.json(projects[:1]) if projects else MetadataValue.null(), - }, - ) - except OSError as e: - context.log.error(f"GitLab scraper OSError: {e}") - return Output(value=[], metadata={"project_count": MetadataValue.int(0), "error": MetadataValue.text(str(e))}) - except Exception as e: - context.log.exception("GitLab scraper error") - return Output(value=[], metadata={"project_count": MetadataValue.int(0), "error": MetadataValue.text(str(e))}) diff --git a/src/pipeline/definitions.py b/src/pipeline/definitions.py deleted file mode 100644 index 9c77c3dc..00000000 --- a/src/pipeline/definitions.py +++ /dev/null @@ -1,94 +0,0 @@ -from dagster import Definitions - -from .schedules.github_scraper_schedule import make_github_scraper_schedule -from .resources.cfg_resource import config_resource -from .resources.fasttext_resource import fasttext_model_resource -from .assets.raw.assets import ( - raw_github__extract_projects, - raw_gitlab__extract_projects, -) -from .assets.core.assets import ( - raw_github__to_df, - core_repo_lang_detect, - core_repo_primary_language_filter, - core_merge_filtered_projects, - core_github__extract_top_projects, - core_github__table_projects_mapped, - core_github__fetch_repo_languages, - core_github__fetch_repo_topics, - core_github__fetch_readme, - core_github__merge_repo_meta, - core_github__normalize_repo_meta, - core_github__map_languages_to_techstacks, - core_github__map_topics_to_categories, -) -from .assets.out.assets import ( - out_github__table_projects_db, -) -from .jobs.cleanup_dagster_job import cleanup_dagster_history_job -from .schedules.cleanup_dagster_schedule import cleanup_dagster_history_schedule - -from .assets.raw.asset_checks import ( - raw_github__extract_projects_non_empty, - raw_gitlab__extract_projects_non_empty, -) -from .assets.core.asset_checks import ( - core_github__extract_top_projects_description_is_not_empty, - core_repo_lang_detect_language_fields_present, - core_github__table_projects_mapped_repoUrl_present, -) -from .assets.out.asset_checks import ( - out_github__table_projects_db_counts_valid, -) - -from .jobs.github_scraper_job import github_scraper_job - -# schedule -github_scraper_schedule = make_github_scraper_schedule(github_scraper_job) - -defs = Definitions( - assets=[ - # raw assets - raw_github__extract_projects, - raw_github__to_df, - raw_gitlab__extract_projects, - - # core assets - core_repo_lang_detect, - core_repo_primary_language_filter, - core_merge_filtered_projects, - core_github__extract_top_projects, - core_github__table_projects_mapped, - core_github__fetch_repo_languages, - core_github__fetch_repo_topics, - core_github__fetch_readme, - core_github__merge_repo_meta, - core_github__normalize_repo_meta, - core_github__map_languages_to_techstacks, - core_github__map_topics_to_categories, - - # out assets - out_github__table_projects_db - ], - resources={ - "config": config_resource, - "fasttext_model": fasttext_model_resource.configured({ - "model_path": "/app/models/lid.176.ftz" - }), - }, - asset_checks=[ - # raw scraper results - raw_github__extract_projects_non_empty, - raw_gitlab__extract_projects_non_empty, - - # core transforms / checks - core_repo_lang_detect_language_fields_present, - core_github__extract_top_projects_description_is_not_empty, - core_github__table_projects_mapped_repoUrl_present, - - # out checks - out_github__table_projects_db_counts_valid, - ], - jobs=[github_scraper_job, cleanup_dagster_history_job], - schedules=[github_scraper_schedule, cleanup_dagster_history_schedule], -) diff --git a/src/pipeline/jobs/github_scraper_job.py b/src/pipeline/jobs/github_scraper_job.py deleted file mode 100644 index 8ce3448a..00000000 --- a/src/pipeline/jobs/github_scraper_job.py +++ /dev/null @@ -1,31 +0,0 @@ -from dagster import ( - define_asset_job, - in_process_executor, - AssetSelection, - RetryPolicy, - Backoff, - Jitter, -) - - -github_scraper_job = define_asset_job( - name="github_scraper_job", - selection=AssetSelection.groups("github_projects_scraper"), - executor_def=in_process_executor, - # default retry policy for ops computing assets in this job. - op_retry_policy=RetryPolicy( - max_retries=2, - delay=30, - backoff=Backoff.EXPONENTIAL, - jitter=Jitter.FULL, - ), - description=( - "Scrape trending repositories (GitHub and GitLab), filter and rank them, " - "normalize to the Prisma Project schema, and upsert the results into the database. " - "The job runs the Go scrapers, applies language detection and data-quality checks, " - "maps fields to the Project model, and emits insert/update metrics. " - "Configurable (scraper queries, top-N, fastText model path) and safe for repeated runs." - ), -) - -__all__ = ["github_scraper_job"] diff --git a/src/pipeline/resources/cfg_resource.py b/src/pipeline/resources/cfg_resource.py deleted file mode 100644 index 47831b29..00000000 --- a/src/pipeline/resources/cfg_resource.py +++ /dev/null @@ -1,36 +0,0 @@ -import os -from dagster import resource -from src.pipeline.utils import PipelineConfig - - -def build_scraper_env(cfg: PipelineConfig) -> dict: - """Return a minimal env dict for Go scrapers based on PipelineConfig. - Keep it scoped to only needed keys (no os.environ copy) to avoid leaks. - """ - env: dict[str, str] = {} - # GitHub - if getattr(cfg, "github_scraping_query", None): - env["GITHUB_SCRAPING_QUERY"] = str(cfg.github_scraping_query) - if getattr(cfg, "github_token", None): - env["GITHUB_ACCESS_TOKEN"] = str(cfg.github_token) - if getattr(cfg, "github_api_url", None): - env["GITHUB_API_URL"] = str(cfg.github_api_url) - # GitLab - if getattr(cfg, "gitlab_scraping_query", None): - env["GITLAB_SCRAPING_QUERY"] = str(cfg.gitlab_scraping_query) - if getattr(cfg, "gitlab_token", None): - env["GITLAB_ACCESS_TOKEN"] = str(cfg.gitlab_token) - env["GITLAB_PROJECTS_VISIBILITY"] = str(getattr(cfg, "gitlab_projects_visibility", "public")) - env["GITLAB_PROJECTS_ARCHIVED"] = str(getattr(cfg, "gitlab_projects_archived", "false")).lower() - env["GITLAB_PROJECTS_ORDER_BY"] = str(getattr(cfg, "gitlab_projects_order_by", "created_at")) - env["GITLAB_PROJECTS_SORT"] = str(getattr(cfg, "gitlab_projects_sort", "desc")) - env["OST_CONFIG_PATH"] = os.getenv("OST_CONFIG_PATH", "") - return env - - -@resource -def config_resource(): - """Dagster resource providing a PipelineConfig instance. - Keeps configuration centralized and injectable into assets/jobs. - """ - return PipelineConfig() \ No newline at end of file diff --git a/src/pipeline/resources/fasttext_resource.py b/src/pipeline/resources/fasttext_resource.py deleted file mode 100644 index 8968f10a..00000000 --- a/src/pipeline/resources/fasttext_resource.py +++ /dev/null @@ -1,151 +0,0 @@ -"""FastText model resource for Dagster pipeline. - -Provides a singleton fastText language detection model that is loaded once -and reused across all assets, avoiding repeated disk I/O and model initialization. - -## Why use a resource? - -Loading the fastText model from disk is expensive (~100MB file, takes ~1s). -By making it a Dagster resource: -1. **Loaded once** at pipeline initialization (not per asset execution) -2. **Shared across assets** that need language detection -3. **Proper lifecycle management** by Dagster -4. **Easy testing** with mock resources -5. **Clear dependencies** via `required_resource_keys` - -## Configuration - -The resource expects the model path to be configured in Dagster definitions. -Default path in Docker: `/app/models/lid.176.ftz` - -## Example Usage - -```python -@asset(required_resource_keys={"fasttext_model"}) -def detect_languages(context): - fasttext = context.resources.fasttext_model - - # Predict single language - labels, probs = fasttext.predict("Hello world", k=1) - # Returns: (['__label__en'], [0.99]) - - # Predict top-3 languages - labels, probs = fasttext.predict("Mixed text", k=3) - # Returns: (['__label__en', '__label__fr', '__label__es'], [0.7, 0.2, 0.1]) -``` -""" -import os -from dagster import resource, InitResourceContext -from typing import Optional - - -class FastTextModelResource: - """Wrapper for fastText language detection model. - - Loads the model once during initialization and provides it to all assets - that require language detection functionality. - """ - - def __init__(self, model_path: str): - """Initialize the fastText model resource. - - Args: - model_path: Absolute path to the fastText .ftz model file - """ - self._model_path = model_path - self._model = None - - @property - def model(self): - """Lazy-load and return the fastText model. - - Returns: - fasttext model instance - - Raises: - ImportError: if fasttext package is not installed - FileNotFoundError: if model file doesn't exist - """ - if self._model is None: - try: - import fasttext - except ImportError as e: - raise ImportError( - "fasttext package is required for language detection. " - "Install it with: poetry add fasttext" - ) from e - - if not os.path.exists(self._model_path): - raise FileNotFoundError( - f"FastText model not found at: {self._model_path}. " - f"Expected lid.176.ftz model file." - ) - - # Suppress fastText warnings during model loading - import warnings - with warnings.catch_warnings(): - warnings.simplefilter("ignore") - self._model = fasttext.load_model(self._model_path) - - return self._model - - def predict(self, text: str, k: int = 1): - """Predict language(s) for given text. - - Args: - text: Input text to detect language from - k: Number of top predictions to return - - Returns: - Tuple of (labels, probabilities) - """ - return self.model.predict(text, k=k) - - -@resource(config_schema={"model_path": str}) -def fasttext_model_resource(context: InitResourceContext) -> FastTextModelResource: - """Dagster resource providing a fastText language detection model. - - Configuration: - model_path (str): Path to the fastText .ftz model file - - Example: - In your Dagster definitions: - - ```python - from dagster import Definitions - from src.pipeline.resources.fasttext_resource import fasttext_model_resource - - defs = Definitions( - assets=[...], - resources={ - "fasttext_model": fasttext_model_resource.configured({ - "model_path": "/app/models/lid.176.ftz" - }) - } - ) - ``` - - In your asset: - - ```python - @asset(required_resource_keys={"fasttext_model"}) - def my_asset(context): - model = context.resources.fasttext_model - labels, probs = model.predict("Hello world", k=3) - ``` - """ - model_path = context.resource_config["model_path"] - context.log.info(f"Initializing FastText model resource from: {model_path}") - - resource = FastTextModelResource(model_path) - - # Warm up the model (trigger lazy loading) to catch errors early - try: - _ = resource.model - context.log.info("FastText model loaded successfully") - except Exception as e: - context.log.error(f"Failed to load FastText model: {e}") - raise - - return resource diff --git a/src/pipeline/resources/map/mapping_map.py b/src/pipeline/resources/map/mapping_map.py deleted file mode 100644 index 73304861..00000000 --- a/src/pipeline/resources/map/mapping_map.py +++ /dev/null @@ -1,40 +0,0 @@ -# Centralized mappings for GitHub and GitLab scrapers to Prisma Project model -# Each mapping is a separate dict for clarity and maintainability - -GITHUB_TO_PROJECT_MAPPING = { - "title": "name", # GitHub repo name - "description": "description", # Repo description - "repoUrl": "html_url", # GitHub URL (repoUrl = html_url) - "provider": lambda repo: "GITHUB", # Provider type - "githubUrl": "html_url", # GitHub URL - "gitlabUrl": None, # Not available from GitHub scraper - "twitterUrl": None, # Not available from GitHub scraper - "linkedinUrl": None, # Not available from GitHub scraper - "discordUrl": None, # Not available from GitHub scraper - "websiteUrl": "homepage", # Repo homepage - "published": lambda repo: True, # Always published (example) - "trending": lambda repo: True, # True by default because is trending projects - "logoUrl": "owner.avatar_url", # Owner avatar - "imagesUrls": lambda repo: [], # Fill as needed - "createdAt": "created_at", # Creation date - "updatedAt": "updated_at", # Update date -} - -GITLAB_TO_PROJECT_MAPPING = { - "title": "name", # Project name - "description": "description", # Project description - "repoUrl": "web_url", # GitLab project URL - "provider": lambda repo: "GITLAB", # Provider type - "githubUrl": None, # Not available from GitLab scraper - "gitlabUrl": "web_url", # GitLab URL - "twitterUrl": None, # Not available from GitLab scraper - "linkedinUrl": None, # Not available from GitLab scraper - "discordUrl": None, # Not available from GitLab scraper - "websiteUrl": "homepage", # Project homepage (if set) - "published": lambda repo: repo.get("visibility") == "public", # Published if public - "trending": None, # Not available from GitLab scraper - "logoUrl": "avatar_url", # Project avatar (if available) - "imagesUrls": lambda repo: [], # Fill as needed - "createdAt": "created_at", # Creation date - "updatedAt": "last_activity_at", # Last activity date -} diff --git a/src/pipeline/schedules/__init__.py b/src/pipeline/schedules/__init__.py deleted file mode 100644 index f4fd1eb4..00000000 --- a/src/pipeline/schedules/__init__.py +++ /dev/null @@ -1,12 +0,0 @@ -"""Schedules package for src.pipeline. - -This module exposes schedule factory functions so callers can import -from `src.pipeline.schedules` directly. Keeping a small __init__ helps -tools and improves import ergonomics. -""" - -# Prefer the new module name; keep this file minimal so importing the package -# doesn't eagerly try to import heavy modules or outdated names. -from .github_scraper_schedule import make_github_scraper_schedule - -__all__ = ["make_github_scraper_schedule"] diff --git a/src/pipeline/schedules/cleanup_dagster_schedule.py b/src/pipeline/schedules/cleanup_dagster_schedule.py deleted file mode 100644 index 035b1f07..00000000 --- a/src/pipeline/schedules/cleanup_dagster_schedule.py +++ /dev/null @@ -1,12 +0,0 @@ -from dagster import schedule - -from src.pipeline.jobs.cleanup_dagster_job import cleanup_dagster_history_job - - -@schedule(cron_schedule="0 23 */2 * *", job=cleanup_dagster_history_job) -def cleanup_dagster_history_schedule(): - """Run every 2 days at 23:00 to purge old Dagster history/logs (keep 2 days).""" - return {} - - -__all__ = ["cleanup_dagster_history_schedule"] diff --git a/src/pipeline/schedules/github_scraper_schedule.py b/src/pipeline/schedules/github_scraper_schedule.py deleted file mode 100644 index b108065e..00000000 --- a/src/pipeline/schedules/github_scraper_schedule.py +++ /dev/null @@ -1,15 +0,0 @@ -from dagster import ScheduleDefinition, DefaultScheduleStatus - - -def make_github_scraper_schedule(job): - """Return the ScheduleDefinition for the GitHub scraper job. - - Cron is defined here directly (no longer read from centralized config). - Keep the previous default of every-6-hours: "0 */6 * * *". - """ - return ScheduleDefinition( - name="github_scraper_schedule", - job=job, - cron_schedule="0 */6 * * *", - default_status=DefaultScheduleStatus.RUNNING, - ) diff --git a/src/pipeline/utils.py b/src/pipeline/utils.py deleted file mode 100644 index c448f744..00000000 --- a/src/pipeline/utils.py +++ /dev/null @@ -1,11 +0,0 @@ -"""Utilities shim: re-export prisma_client from the services package. - -We moved the real implementation here. Keep the module small so -imports throughout the repo can import `prisma_client` from -`src.pipeline.utils`. -""" - -from src.services.python.prisma_client import prisma_client -from src.services.python.load_cfg import PipelineConfig - -__all__ = ["prisma_client", "PipelineConfig"] diff --git a/src/services/go/fetcher/common.go b/src/services/go/fetcher/common.go new file mode 100644 index 00000000..37aa92cf --- /dev/null +++ b/src/services/go/fetcher/common.go @@ -0,0 +1,246 @@ +package main + +import ( + "context" + "fmt" + "io" + "log" + "net/http" + "net/url" + "strconv" + "strings" + "sync" + "time" + "unicode/utf8" + + "github.com/jackc/pgx/v5/pgxpool" +) + +type rateLimiter struct { + mu sync.Mutex + remaining int + resetAt time.Time +} + +func newRateLimiter() *rateLimiter { + return &rateLimiter{remaining: 5000} +} + +func (rl *rateLimiter) wait() { + rl.mu.Lock() + defer rl.mu.Unlock() + if rl.remaining <= 1 && time.Now().Before(rl.resetAt) { + sleepDur := time.Until(rl.resetAt) + time.Second + log.Printf("[RATE-LIMIT] Exhausted, sleeping %s until reset", sleepDur) + rl.mu.Unlock() + time.Sleep(sleepDur) + rl.mu.Lock() + } +} + +func (rl *rateLimiter) update(resp *http.Response) { + rl.mu.Lock() + defer rl.mu.Unlock() + if v := resp.Header.Get("X-RateLimit-Remaining"); v != "" { + if n, err := strconv.Atoi(v); err == nil { + rl.remaining = n + } + } + if v := resp.Header.Get("X-RateLimit-Reset"); v != "" { + if ts, err := strconv.ParseInt(v, 10, 64); err == nil { + rl.resetAt = time.Unix(ts, 0) + } + } +} + +type GitHubFetcher struct { + db *pgxpool.Pool + client *http.Client + githubToken string + maxWorkers int + rl *rateLimiter +} + +type Project struct { + ID string + RepoURL string + Owner string + Repo string +} + +func NewGitHubFetcher(db *pgxpool.Pool, token string, workers int) *GitHubFetcher { + return &GitHubFetcher{ + db: db, + client: &http.Client{Timeout: 30 * time.Second}, + githubToken: token, + maxWorkers: workers, + rl: newRateLimiter(), + } +} + +// extractOwnerRepo parses a GitHub URL and returns (owner, repo). +func extractOwnerRepo(rawURL string) (string, string) { + parsed, err := url.Parse(strings.TrimSpace(rawURL)) + if err != nil { + return "", "" + } + path := strings.Trim(parsed.Path, "/") + path = strings.TrimSuffix(path, ".git") + parts := strings.SplitN(path, "/", 3) + if len(parts) < 2 || parts[0] == "" || parts[1] == "" { + return "", "" + } + return parts[0], parts[1] +} + +// getNewProjects fetches only projects not yet present in targetTable (incremental fetch). +func (f *GitHubFetcher) getNewProjects(ctx context.Context, limit int, targetTable string) ([]Project, error) { + query := fmt.Sprintf(` + SELECT d.project_id, d.repo_url + FROM github.int_github_detection d + LEFT JOIN %s t ON t.project_id = d.project_id + WHERE d.repo_url IS NOT NULL AND d.repo_url != '' + AND t.project_id IS NULL + `, targetTable) + if limit > 0 { + query += fmt.Sprintf(" LIMIT %d", limit) + } + + rows, err := f.db.Query(ctx, query) + if err != nil { + return nil, fmt.Errorf("query new projects: %w", err) + } + defer rows.Close() + + var projects []Project + for rows.Next() { + var p Project + if err := rows.Scan(&p.ID, &p.RepoURL); err != nil { + continue + } + owner, repo := extractOwnerRepo(p.RepoURL) + if owner != "" && repo != "" { + p.Owner = owner + p.Repo = repo + projects = append(projects, p) + } + } + if err := rows.Err(); err != nil { + return nil, fmt.Errorf("iterating projects: %w", err) + } + return projects, nil +} + +// getProjects fetches projects from int_github_detection. +func (f *GitHubFetcher) getProjects(ctx context.Context, limit int) ([]Project, error) { + query := ` + SELECT project_id, repo_url + FROM github.int_github_detection + WHERE repo_url IS NOT NULL AND repo_url != '' + ` + if limit > 0 { + query += fmt.Sprintf(" LIMIT %d", limit) + } + + rows, err := f.db.Query(ctx, query) + if err != nil { + return nil, fmt.Errorf("query projects: %w", err) + } + defer rows.Close() + + var projects []Project + for rows.Next() { + var p Project + if err := rows.Scan(&p.ID, &p.RepoURL); err != nil { + continue + } + owner, repo := extractOwnerRepo(p.RepoURL) + if owner != "" && repo != "" { + p.Owner = owner + p.Repo = repo + projects = append(projects, p) + } + } + if err := rows.Err(); err != nil { + return nil, fmt.Errorf("iterating projects: %w", err) + } + return projects, nil +} + +// makeRequestWithContext performs a GitHub API request with context, rate limiting, and User-Agent. +func (f *GitHubFetcher) makeRequestWithContext(ctx context.Context, reqURL string) (*http.Response, error) { + f.rl.wait() + + req, err := http.NewRequestWithContext(ctx, "GET", reqURL, nil) + if err != nil { + return nil, err + } + req.Header.Set("Accept", "application/vnd.github.v3+json") + req.Header.Set("User-Agent", "ost-linker-fetcher") + if f.githubToken != "" { + req.Header.Set("Authorization", "token "+f.githubToken) + } + + resp, err := f.client.Do(req) + if err != nil { + return nil, err + } + + f.rl.update(resp) + return resp, nil +} + +// retryRequest performs a GET with retries and exponential backoff. +// Does not retry on 404 or 422. +func (f *GitHubFetcher) retryRequest(ctx context.Context, reqURL string, maxAttempts int) ([]byte, error) { + for attempt := 1; attempt <= maxAttempts; attempt++ { + resp, err := f.makeRequestWithContext(ctx, reqURL) + if err != nil { + if attempt < maxAttempts { + time.Sleep(time.Duration(attempt) * time.Second) + continue + } + return nil, err + } + + body, readErr := io.ReadAll(resp.Body) + resp.Body.Close() + + if resp.StatusCode == 200 { + return body, readErr + } + if resp.StatusCode == 404 || resp.StatusCode == 422 { + return nil, fmt.Errorf("status %d", resp.StatusCode) + } + if resp.StatusCode == 403 { + retryAfter := resp.Header.Get("Retry-After") + if retryAfter != "" { + if seconds, parseErr := strconv.Atoi(retryAfter); parseErr == nil { + log.Printf("[RATE-LIMIT] 403 received, sleeping %ds", seconds) + time.Sleep(time.Duration(seconds) * time.Second) + continue + } + } + time.Sleep(60 * time.Second) + continue + } + if attempt < maxAttempts { + time.Sleep(time.Duration(attempt) * time.Second) + continue + } + return nil, fmt.Errorf("status %d", resp.StatusCode) + } + return nil, fmt.Errorf("request failed after %d attempts", maxAttempts) +} + +// truncateUTF8 truncates s to at most maxBytes bytes without breaking a multi-byte rune. +func truncateUTF8(s string, maxBytes int) string { + if len(s) <= maxBytes { + return s + } + // Back up from maxBytes to the start of a valid rune + for maxBytes > 0 && !utf8.RuneStart(s[maxBytes]) { + maxBytes-- + } + return s[:maxBytes] +} diff --git a/src/services/go/fetcher/fetch_languages.go b/src/services/go/fetcher/fetch_languages.go new file mode 100644 index 00000000..04acb0dd --- /dev/null +++ b/src/services/go/fetcher/fetch_languages.go @@ -0,0 +1,115 @@ +package main + +import ( + "context" + "encoding/json" + "fmt" + "log" + "sync" + + "github.com/jackc/pgx/v5" +) + +func (f *GitHubFetcher) FetchLanguages(ctx context.Context, limit int) (int, error) { + projects, err := f.getNewProjects(ctx, limit, "github.raw_github_languages") + if err != nil { + return 0, err + } + + type result struct { + ProjectID string + RepoURL string + Languages map[string]int + } + + results := make(chan result, f.maxWorkers*2) + sem := make(chan struct{}, f.maxWorkers) + var wg sync.WaitGroup + + for _, p := range projects { + wg.Add(1) + go func(p Project) { + defer wg.Done() + sem <- struct{}{} + defer func() { <-sem }() + + url := fmt.Sprintf("https://api.github.com/repos/%s/%s/languages", p.Owner, p.Repo) + body, err := f.retryRequest(ctx, url, 2) + + var langs map[string]int + if err == nil { + if unmarshalErr := json.Unmarshal(body, &langs); unmarshalErr != nil { + log.Printf("[WARN] Failed to unmarshal languages for %s/%s: %v", p.Owner, p.Repo, unmarshalErr) + } + } + if langs == nil { + langs = make(map[string]int) + } + results <- result{ProjectID: p.ID, RepoURL: p.RepoURL, Languages: langs} + }(p) + } + + go func() { + wg.Wait() + close(results) + }() + + count := 0 + batchSize := 100 + var batch []result + + flushBatch := func() error { + if len(batch) == 0 { + return nil + } + pgBatch := &pgx.Batch{} + for _, r := range batch { + jsonLangs, err := json.Marshal(r.Languages) + if err != nil { + log.Printf("[WARN] Failed to marshal languages for project %s: %v", r.ProjectID, err) + continue + } + pgBatch.Queue(` + INSERT INTO github.raw_github_languages (id, project_id, repo_url, languages, created_at) + VALUES (gen_random_uuid(), $1, $2, $3, NOW()) + ON CONFLICT (project_id) DO UPDATE + SET repo_url = EXCLUDED.repo_url, + languages = EXCLUDED.languages, + created_at = NOW() + `, r.ProjectID, r.RepoURL, string(jsonLangs)) + } + + if pgBatch.Len() == 0 { + batch = nil + return nil + } + + br := f.db.SendBatch(ctx, pgBatch) + for i := 0; i < pgBatch.Len(); i++ { + if _, err := br.Exec(); err != nil { + log.Printf("[ERROR] Languages batch item %d failed: %v", i, err) + } + } + if err := br.Close(); err != nil { + return err + } + + count += len(batch) + batch = nil + return nil + } + + for res := range results { + batch = append(batch, res) + if len(batch) >= batchSize { + if err := flushBatch(); err != nil { + log.Printf("Error flushing batch: %v", err) + } + } + } + if err := flushBatch(); err != nil { + log.Printf("Error flushing final batch: %v", err) + } + + return count, nil +} diff --git a/src/services/go/fetcher/fetch_readme.go b/src/services/go/fetcher/fetch_readme.go new file mode 100644 index 00000000..96b5ce88 --- /dev/null +++ b/src/services/go/fetcher/fetch_readme.go @@ -0,0 +1,159 @@ +package main + +import ( + "context" + "fmt" + "io" + "log" + "net/http" + "sync" + + "github.com/jackc/pgx/v5" +) + +// fetchReadmeContent fetches the raw README for a given owner/repo using rate limiting and retry. +func (f *GitHubFetcher) fetchReadmeContent(ctx context.Context, owner, repo string) (string, error) { + reqURL := fmt.Sprintf("https://api.github.com/repos/%s/%s/readme", owner, repo) + + for attempt := 1; attempt <= 2; attempt++ { + f.rl.wait() + + req, err := http.NewRequestWithContext(ctx, "GET", reqURL, nil) + if err != nil { + return "", fmt.Errorf("creating request: %w", err) + } + req.Header.Set("Accept", "application/vnd.github.raw") + req.Header.Set("User-Agent", "ost-linker-fetcher") + if f.githubToken != "" { + req.Header.Set("Authorization", "token "+f.githubToken) + } + + resp, err := f.client.Do(req) + if err != nil { + if attempt < 2 { + continue + } + return "", err + } + f.rl.update(resp) + + body, readErr := io.ReadAll(resp.Body) + resp.Body.Close() + + if resp.StatusCode == 200 { + if readErr != nil { + return "", readErr + } + return string(body), nil + } + if resp.StatusCode == 404 || resp.StatusCode == 422 { + return "", nil + } + if attempt < 2 { + continue + } + return "", fmt.Errorf("readme fetch status %d", resp.StatusCode) + } + return "", nil +} + +func (f *GitHubFetcher) FetchReadmes(ctx context.Context, limit int) (int, error) { + projects, err := f.getNewProjects(ctx, limit, "github.raw_github_readme") + if err != nil { + return 0, err + } + + type result struct { + ProjectID string + RepoURL string + Content string + } + + results := make(chan result, f.maxWorkers*2) + sem := make(chan struct{}, f.maxWorkers) + var wg sync.WaitGroup + + for _, p := range projects { + wg.Add(1) + go func(p Project) { + defer wg.Done() + sem <- struct{}{} + defer func() { <-sem }() + + content, err := f.fetchReadmeContent(ctx, p.Owner, p.Repo) + if err != nil { + log.Printf("[WARN] Failed to fetch readme for %s/%s: %v", p.Owner, p.Repo, err) + } + + content = truncateUTF8(content, 50000) + + results <- result{ProjectID: p.ID, RepoURL: p.RepoURL, Content: content} + }(p) + } + + go func() { + wg.Wait() + close(results) + }() + + count := 0 + batchSize := 100 + var batch []result + + flushBatch := func() error { + if len(batch) == 0 { + return nil + } + + pgBatch := &pgx.Batch{} + queued := 0 + for _, r := range batch { + if r.Content == "" { + continue + } + + pgBatch.Queue(` + INSERT INTO github.raw_github_readme (id, project_id, repo_url, content, created_at) + VALUES (gen_random_uuid(), $1, $2, $3, NOW()) + ON CONFLICT (project_id) DO UPDATE + SET repo_url = EXCLUDED.repo_url, + content = EXCLUDED.content, + created_at = NOW() + `, r.ProjectID, r.RepoURL, r.Content) + queued++ + } + + if queued == 0 { + batch = nil + return nil + } + + br := f.db.SendBatch(ctx, pgBatch) + for i := 0; i < queued; i++ { + if _, err := br.Exec(); err != nil { + log.Printf("[ERROR] Readme batch item %d failed: %v", i, err) + } + } + if err := br.Close(); err != nil { + return err + } + + count += len(batch) + batch = nil + return nil + } + + for res := range results { + batch = append(batch, res) + if len(batch) >= batchSize { + if err := flushBatch(); err != nil { + log.Printf("Error flushing batch: %v", err) + } + } + } + if err := flushBatch(); err != nil { + log.Printf("Error flushing final batch: %v", err) + } + + return count, nil +} diff --git a/src/services/go/fetcher/fetch_topics.go b/src/services/go/fetcher/fetch_topics.go new file mode 100644 index 00000000..a32c6354 --- /dev/null +++ b/src/services/go/fetcher/fetch_topics.go @@ -0,0 +1,117 @@ +package main + +import ( + "context" + "encoding/json" + "fmt" + "log" + "sync" + + "github.com/jackc/pgx/v5" +) + +func (f *GitHubFetcher) FetchTopics(ctx context.Context, limit int) (int, error) { + projects, err := f.getNewProjects(ctx, limit, "github.raw_github_topics") + if err != nil { + return 0, err + } + + type result struct { + ProjectID string + RepoURL string + Topics []string + } + + results := make(chan result, f.maxWorkers*2) + sem := make(chan struct{}, f.maxWorkers) + var wg sync.WaitGroup + + for _, p := range projects { + wg.Add(1) + go func(p Project) { + defer wg.Done() + sem <- struct{}{} + defer func() { <-sem }() + + url := fmt.Sprintf("https://api.github.com/repos/%s/%s/topics", p.Owner, p.Repo) + body, err := f.retryRequest(ctx, url, 2) + + var resp struct { + Names []string `json:"names"` + } + if err == nil { + if unmarshalErr := json.Unmarshal(body, &resp); unmarshalErr != nil { + log.Printf("[WARN] Failed to unmarshal topics for %s/%s: %v", p.Owner, p.Repo, unmarshalErr) + } + } + if resp.Names == nil { + resp.Names = []string{} + } + results <- result{ProjectID: p.ID, RepoURL: p.RepoURL, Topics: resp.Names} + }(p) + } + + go func() { + wg.Wait() + close(results) + }() + + count := 0 + batchSize := 100 + var batch []result + + flushBatch := func() error { + if len(batch) == 0 { + return nil + } + pgBatch := &pgx.Batch{} + for _, r := range batch { + jsonTopics, err := json.Marshal(r.Topics) + if err != nil { + log.Printf("[WARN] Failed to marshal topics for project %s: %v", r.ProjectID, err) + continue + } + pgBatch.Queue(` + INSERT INTO github.raw_github_topics (id, project_id, repo_url, topics, created_at) + VALUES (gen_random_uuid(), $1, $2, $3, NOW()) + ON CONFLICT (project_id) DO UPDATE + SET repo_url = EXCLUDED.repo_url, + topics = EXCLUDED.topics, + created_at = NOW() + `, r.ProjectID, r.RepoURL, string(jsonTopics)) + } + + if pgBatch.Len() == 0 { + batch = nil + return nil + } + + br := f.db.SendBatch(ctx, pgBatch) + for i := 0; i < pgBatch.Len(); i++ { + if _, err := br.Exec(); err != nil { + log.Printf("[ERROR] Topics batch item %d failed: %v", i, err) + } + } + if err := br.Close(); err != nil { + return err + } + + count += len(batch) + batch = nil + return nil + } + + for res := range results { + batch = append(batch, res) + if len(batch) >= batchSize { + if err := flushBatch(); err != nil { + log.Printf("Error flushing batch: %v", err) + } + } + } + if err := flushBatch(); err != nil { + log.Printf("Error flushing final batch: %v", err) + } + + return count, nil +} diff --git a/src/services/go/fetcher/go.mod b/src/services/go/fetcher/go.mod new file mode 100644 index 00000000..27316f95 --- /dev/null +++ b/src/services/go/fetcher/go.mod @@ -0,0 +1,17 @@ +module ost-fetcher + +go 1.24.6 + +require ( + github.com/jackc/pgx/v5 v5.7.6 + github.com/joho/godotenv v1.5.1 +) + +require ( + github.com/jackc/pgpassfile v1.0.0 // indirect + github.com/jackc/pgservicefile v0.0.0-20240606120523-5a60cdf6a761 // indirect + github.com/jackc/puddle/v2 v2.2.2 // indirect + golang.org/x/crypto v0.37.0 // indirect + golang.org/x/sync v0.13.0 // indirect + golang.org/x/text v0.24.0 // indirect +) diff --git a/src/services/go/fetcher/go.sum b/src/services/go/fetcher/go.sum new file mode 100644 index 00000000..28f9c1b5 --- /dev/null +++ b/src/services/go/fetcher/go.sum @@ -0,0 +1,30 @@ +github.com/davecgh/go-spew v1.1.0/go.mod h1:J7Y8YcW2NihsgmVo/mv3lAwl/skON4iLHjSsI+c5H38= +github.com/davecgh/go-spew v1.1.1 h1:vj9j/u1bqnvCEfJOwUhtlOARqs3+rkHYY13jYWTU97c= +github.com/davecgh/go-spew v1.1.1/go.mod h1:J7Y8YcW2NihsgmVo/mv3lAwl/skON4iLHjSsI+c5H38= +github.com/jackc/pgpassfile v1.0.0 h1:/6Hmqy13Ss2zCq62VdNG8tM1wchn8zjSGOBJ6icpsIM= +github.com/jackc/pgpassfile v1.0.0/go.mod h1:CEx0iS5ambNFdcRtxPj5JhEz+xB6uRky5eyVu/W2HEg= +github.com/jackc/pgservicefile v0.0.0-20240606120523-5a60cdf6a761 h1:iCEnooe7UlwOQYpKFhBabPMi4aNAfoODPEFNiAnClxo= +github.com/jackc/pgservicefile v0.0.0-20240606120523-5a60cdf6a761/go.mod h1:5TJZWKEWniPve33vlWYSoGYefn3gLQRzjfDlhSJ9ZKM= +github.com/jackc/pgx/v5 v5.7.6 h1:rWQc5FwZSPX58r1OQmkuaNicxdmExaEz5A2DO2hUuTk= +github.com/jackc/pgx/v5 v5.7.6/go.mod h1:aruU7o91Tc2q2cFp5h4uP3f6ztExVpyVv88Xl/8Vl8M= +github.com/jackc/puddle/v2 v2.2.2 h1:PR8nw+E/1w0GLuRFSmiioY6UooMp6KJv0/61nB7icHo= +github.com/jackc/puddle/v2 v2.2.2/go.mod h1:vriiEXHvEE654aYKXXjOvZM39qJ0q+azkZFrfEOc3H4= +github.com/joho/godotenv v1.5.1 h1:7eLL/+HRGLY0ldzfGMeQkb7vMd0as4CfYvUVzLqw0N0= +github.com/joho/godotenv v1.5.1/go.mod h1:f4LDr5Voq0i2e/R5DDNOoa2zzDfwtkZa6DnEwAbqwq4= +github.com/pmezard/go-difflib v1.0.0 h1:4DBwDE0NGyQoBHbLQYPwSUPoCMWR5BEzIk/f1lZbAQM= +github.com/pmezard/go-difflib v1.0.0/go.mod h1:iKH77koFhYxTK1pcRnkKkqfTogsbg7gZNVY4sRDYZ/4= +github.com/stretchr/objx v0.1.0/go.mod h1:HFkY916IF+rwdDfMAkV7OtwuqBVzrE8GR6GFx+wExME= +github.com/stretchr/testify v1.3.0/go.mod h1:M5WIy9Dh21IEIfnGCwXGc5bZfKNJtfHm1UVUgZn+9EI= +github.com/stretchr/testify v1.7.0/go.mod h1:6Fq8oRcR53rry900zMqJjRRixrwX3KX962/h/Wwjteg= +github.com/stretchr/testify v1.8.1 h1:w7B6lhMri9wdJUVmEZPGGhZzrYTPvgJArz7wNPgYKsk= +github.com/stretchr/testify v1.8.1/go.mod h1:w2LPCIKwWwSfY2zedu0+kehJoqGctiVI29o6fzry7u4= +golang.org/x/crypto v0.37.0 h1:kJNSjF/Xp7kU0iB2Z+9viTPMW4EqqsrywMXLJOOsXSE= +golang.org/x/crypto v0.37.0/go.mod h1:vg+k43peMZ0pUMhYmVAWysMK35e6ioLh3wB8ZCAfbVc= +golang.org/x/sync v0.13.0 h1:AauUjRAJ9OSnvULf/ARrrVywoJDy0YS2AwQ98I37610= +golang.org/x/sync v0.13.0/go.mod h1:1dzgHSNfp02xaA81J2MS99Qcpr2w7fw1gpm99rleRqA= +golang.org/x/text v0.24.0 h1:dd5Bzh4yt5KYA8f9CJHCP4FB4D51c2c6JvN37xJJkJ0= +golang.org/x/text v0.24.0/go.mod h1:L8rBsPeo2pSS+xqN0d5u2ikmjtmoJbDBT1b7nHvFCdU= +gopkg.in/check.v1 v0.0.0-20161208181325-20d25e280405/go.mod h1:Co6ibVJAznAaIkqp8huTwlJQCZ016jof/cbN4VW5Yz0= +gopkg.in/yaml.v3 v3.0.0-20200313102051-9f266ea9e77c/go.mod h1:K4uyk7z7BCEPqu6E+C64Yfv1cQ7kz7rIZviUmN+EgEM= +gopkg.in/yaml.v3 v3.0.1 h1:fxVm/GzAzEWqLHuvctI91KS9hhNmmWOoWu0XTYJS7CA= +gopkg.in/yaml.v3 v3.0.1/go.mod h1:K4uyk7z7BCEPqu6E+C64Yfv1cQ7kz7rIZviUmN+EgEM= diff --git a/src/services/go/fetcher/main.go b/src/services/go/fetcher/main.go new file mode 100644 index 00000000..bc7eeb0e --- /dev/null +++ b/src/services/go/fetcher/main.go @@ -0,0 +1,81 @@ +package main + +import ( + "context" + "flag" + "log" + "os" + "time" + + "github.com/jackc/pgx/v5/pgxpool" + "github.com/joho/godotenv" +) + +type Config struct { + DatabaseURL string + GithubToken string +} + +func loadConfig() *Config { + _ = godotenv.Load() + + dbURL := os.Getenv("DATABASE_URL") + if dbURL == "" { + log.Fatal("DATABASE_URL is required") + } + + return &Config{ + DatabaseURL: dbURL, + GithubToken: os.Getenv("GITHUB_ACCESS_TOKEN"), + } +} + +func main() { + mode := flag.String("mode", "", "Fetch mode: readme, languages, topics") + limit := flag.Int("limit", 0, "Limit number of projects to process (0 = no limit)") + concurrency := flag.Int("concurrency", 10, "Number of concurrent workers") + flag.Parse() + + // Validate mode before connecting to DB so log.Fatal doesn't skip defer db.Close() + validModes := map[string]bool{"readme": true, "languages": true, "topics": true} + if *mode == "" { + log.Fatal("Please specify --mode (readme, languages, topics)") + } + if !validModes[*mode] { + log.Fatalf("Unknown mode: %s (valid: readme, languages, topics)", *mode) + } + + cfg := loadConfig() + + ctx := context.Background() + db, err := pgxpool.New(ctx, cfg.DatabaseURL) + if err != nil { + log.Fatalf("Unable to connect to database: %v", err) + } + defer db.Close() + + log.Printf("Starting fetcher in mode: %s (concurrency: %d)", *mode, *concurrency) + + fetcher := NewGitHubFetcher(db, cfg.GithubToken, *concurrency) + + start := time.Now() + var count int + var errFetch error + + switch *mode { + case "readme": + count, errFetch = fetcher.FetchReadmes(ctx, *limit) + case "languages": + count, errFetch = fetcher.FetchLanguages(ctx, *limit) + case "topics": + count, errFetch = fetcher.FetchTopics(ctx, *limit) + } + + if errFetch != nil { + log.Printf("[ERROR] Job failed: %v", errFetch) + os.Exit(1) + } + + duration := time.Since(start) + log.Printf("[SUCCESS] Processed %d items in %s", count, duration) +} diff --git a/src/services/go/github/go.mod b/src/services/go/github/go.mod deleted file mode 100644 index 23a4c8bc..00000000 --- a/src/services/go/github/go.mod +++ /dev/null @@ -1,8 +0,0 @@ -module github.com/opensource-together/ost-ai-engine/github-scraper - -go 1.24.6 - -require ( - github.com/joho/godotenv v1.5.1 - gopkg.in/yaml.v3 v3.0.1 -) diff --git a/src/services/go/github/go.sum b/src/services/go/github/go.sum deleted file mode 100644 index e536c30f..00000000 --- a/src/services/go/github/go.sum +++ /dev/null @@ -1,6 +0,0 @@ -github.com/joho/godotenv v1.5.1 h1:7eLL/+HRGLY0ldzfGMeQkb7vMd0as4CfYvUVzLqw0N0= -github.com/joho/godotenv v1.5.1/go.mod h1:f4LDr5Voq0i2e/R5DDNOoa2zzDfwtkZa6DnEwAbqwq4= -gopkg.in/check.v1 v0.0.0-20161208181325-20d25e280405 h1:yhCVgyC4o1eVCa2tZl7eS0r+SDo693bJlVdllGtEeKM= -gopkg.in/check.v1 v0.0.0-20161208181325-20d25e280405/go.mod h1:Co6ibVJAznAaIkqp8huTwlJQCZ016jof/cbN4VW5Yz0= -gopkg.in/yaml.v3 v3.0.1 h1:fxVm/GzAzEWqLHuvctI91KS9hhNmmWOoWu0XTYJS7CA= -gopkg.in/yaml.v3 v3.0.1/go.mod h1:K4uyk7z7BCEPqu6E+C64Yfv1cQ7kz7rIZviUmN+EgEM= diff --git a/src/services/go/github/main.go b/src/services/go/github/main.go deleted file mode 100644 index e9186701..00000000 --- a/src/services/go/github/main.go +++ /dev/null @@ -1,146 +0,0 @@ -package main - -import ( - "encoding/json" - "fmt" - "io/ioutil" - "log" - "net/http" - "net/url" - "os" - "strconv" - "time" - - "gopkg.in/yaml.v3" -) - -type githubRepo struct { - ID int64 `json:"id"` - Name string `json:"name"` - FullName string `json:"full_name"` - HTMLURL string `json:"html_url"` - Description *string `json:"description"` - Stargazers int `json:"stargazers_count"` - Forks int `json:"forks_count"` - Language *string `json:"language"` - Homepage *string `json:"homepage"` - DefaultBr *string `json:"default_branch"` - Private *bool `json:"private"` - Owner *struct { - Login string `json:"login"` - AvatarURL *string `json:"avatar_url"` - } `json:"owner"` - CreatedAt string `json:"created_at"` - UpdatedAt string `json:"updated_at"` - PushedAt string `json:"pushed_at"` -} - -type githubSearchResponse struct { - TotalCount int `json:"total_count"` - Items []githubRepo `json:"items"` -} - -func newHTTPClient() *http.Client { - return &http.Client{Timeout: 30 * time.Second} -} - -func fetchGitHubRepos(client *http.Client, token string, apiURL string, query string, perPage, page int) (githubSearchResponse, error) { - var result githubSearchResponse - if apiURL == "" { - return result, fmt.Errorf("GITHUB_API_URL is required but not set") - } - base, err := url.Parse(apiURL) - if err != nil { - return result, fmt.Errorf("invalid github api url: %v", err) - } - q := base.Query() - q.Set("q", query) - q.Set("sort", "stars") - q.Set("order", "desc") - q.Set("per_page", strconv.Itoa(perPage)) - q.Set("page", strconv.Itoa(page)) - base.RawQuery = q.Encode() - - req, _ := http.NewRequest("GET", base.String(), nil) - req.Header.Set("Accept", "application/vnd.github+json") - req.Header.Set("User-Agent", "ost-ai-engine-scraper") - req.Header.Set("X-GitHub-Api-Version", "2022-11-28") - if token != "" { - req.Header.Set("Authorization", "Bearer "+token) - } - - resp, err := client.Do(req) - if err != nil { - return result, err - } - defer resp.Body.Close() - if resp.StatusCode != 200 { - return result, fmt.Errorf("github api status %d", resp.StatusCode) - } - if err := json.NewDecoder(resp.Body).Decode(&result); err != nil { - return result, err - } - return result, nil -} - -func main() { - configPath := os.Getenv("OST_CONFIG_PATH") - - // Load configuration from YAML file - configBytes, err := ioutil.ReadFile(configPath) - if err != nil { - log.Fatalf("[ERROR] Config file could not be read: %v", err) - } - var config struct { - DatabaseURL string `yaml:"DATABASE_URL"` - GitHubAccessToken string `yaml:"GITHUB_ACCESS_TOKEN"` - GitLabAccessToken string `yaml:"GITLAB_ACCESS_TOKEN"` - GitHubScrapingQuery string `yaml:"GITHUB_SCRAPING_QUERY"` - GitHubTopN int `yaml:"GITHUB_TOP_N"` - GitHubApiUrl string `yaml:"GITHUB_API_URL"` - } - if err := yaml.Unmarshal(configBytes, &config); err != nil { - log.Fatalf("[ERROR] Config file could not be parsed: %v", err) - } - - log.Println("[INFO] Loaded config from config/cfg.yaml.") - log.Printf("[INFO] Query: %s", config.GitHubScrapingQuery) - - token := config.GitHubAccessToken - if token == "" { - log.Println("warning: GITHUB_ACCESS_TOKEN not set; may hit rate limits") - } - query := config.GitHubScrapingQuery - if query == "" { - log.Fatal("GITHUB_SCRAPING_QUERY is required") - } - apiURL := config.GitHubApiUrl - if apiURL == "" { - log.Fatal("GITHUB_API_URL is required in config") - } - maxRepos := config.GitHubTopN - if maxRepos <= 0 { - maxRepos = 1000 - } - - client := newHTTPClient() - perPage := 100 - collected := 0 - var allRepos []githubRepo - for page := 1; collected < maxRepos; page++ { - res, err := fetchGitHubRepos(client, token, apiURL, query, perPage, page) - if err != nil { - log.Fatalf("github fetch: %v", err) - } - if len(res.Items) == 0 { - break - } - allRepos = append(allRepos, res.Items...) - collected += len(res.Items) - } - - // Display results as JSON - if err := json.NewEncoder(os.Stdout).Encode(allRepos); err != nil { - log.Fatalf("json encode: %v", err) - } -} diff --git a/src/services/go/gitlab/go.mod b/src/services/go/gitlab/go.mod deleted file mode 100644 index 8897e3e7..00000000 --- a/src/services/go/gitlab/go.mod +++ /dev/null @@ -1,10 +0,0 @@ -module ost-ai-engine/gitlab - -go 1.21 - -require ( - gitlab.com/gitlab-org/api/client-go v0.1.0 - gopkg.in/yaml.v3 v3.0.1 -) - -require github.com/google/go-querystring v1.1.0 // indirect diff --git a/src/services/go/gitlab/go.sum b/src/services/go/gitlab/go.sum deleted file mode 100644 index 5567fd12..00000000 --- a/src/services/go/gitlab/go.sum +++ /dev/null @@ -1,13 +0,0 @@ -github.com/google/go-cmp v0.5.2 h1:X2ev0eStA3AbceY54o37/0PQ/UWqKEiiO2dKL5OPaFM= -github.com/google/go-cmp v0.5.2/go.mod h1:v8dTdLbMG2kIc/vJvl+f65V22dbkXbowE6jgT/gNBxE= -github.com/google/go-querystring v1.1.0 h1:AnCroh3fv4ZBgVIf1Iwtovgjaw/GiKJo8M8yD/fhyJ8= -github.com/google/go-querystring v1.1.0/go.mod h1:Kcdr2DB4koayq7X8pmAG4sNG59So17icRSOU623lUBU= -github.com/joho/godotenv v1.5.1 h1:7eLL/+HRGLY0ldzfGMeQkb7vMd0as4CfYvUVzLqw0N0= -github.com/joho/godotenv v1.5.1/go.mod h1:f4LDr5Voq0i2e/R5DDNOoa2zzDfwtkZa6DnEwAbqwq4= -gitlab.com/gitlab-org/api/client-go v0.1.0 h1:B6Myhto+DruwXqrHAiueN+bsy0U4xdEE1nY9dpi35BE= -gitlab.com/gitlab-org/api/client-go v0.1.0/go.mod h1:Qv4Htsm/xJPjSD3Qr6yjfw1Rw7mkx0BX5bezICFhBO0= -golang.org/x/xerrors v0.0.0-20191204190536-9bdfabe68543/go.mod h1:I/5z698sn9Ka8TeJc9MKroUUfqBBauWjQqLJ2OPfmY0= -gopkg.in/check.v1 v0.0.0-20161208181325-20d25e280405 h1:yhCVgyC4o1eVCa2tZl7eS0r+SDo693bJlVdllGtEeKM= -gopkg.in/check.v1 v0.0.0-20161208181325-20d25e280405/go.mod h1:Co6ibVJAznAaIkqp8huTwlJQCZ016jof/cbN4VW5Yz0= -gopkg.in/yaml.v3 v3.0.1 h1:fxVm/GzAzEWqLHuvctI91KS9hhNmmWOoWu0XTYJS7CA= -gopkg.in/yaml.v3 v3.0.1/go.mod h1:K4uyk7z7BCEPqu6E+C64Yfv1cQ7kz7rIZviUmN+EgEM= diff --git a/src/services/go/gitlab/main.go b/src/services/go/gitlab/main.go deleted file mode 100644 index 1fda68c2..00000000 --- a/src/services/go/gitlab/main.go +++ /dev/null @@ -1,102 +0,0 @@ -package main - -import ( - "encoding/json" - "io/ioutil" - "log" - "os" - - gitlab "gitlab.com/gitlab-org/api/client-go" - "gopkg.in/yaml.v3" -) - -func main() { - configPath := os.Getenv("OST_CONFIG_PATH") - - // Load configuration from YAML file - configBytes, err := ioutil.ReadFile(configPath) - if err != nil { - log.Fatalf("[ERROR] Config file could not be read: %v", err) - } - var config struct { - DatabaseURL string `yaml:"DATABASE_URL"` - GitHubAccessToken string `yaml:"GITHUB_ACCESS_TOKEN"` - GitLabAccessToken string `yaml:"GITLAB_ACCESS_TOKEN"` - GitLabScrapingQuery string `yaml:"GITLAB_SCRAPING_QUERY"` - GitLabTopN int `yaml:"GITLAB_TOP_N"` - GitLabApiUrl string `yaml:"GITLAB_API_URL"` - GitLabProjectsVisibility string `yaml:"GITLAB_PROJECTS_VISIBILITY"` - GitLabProjectsArchived string `yaml:"GITLAB_PROJECTS_ARCHIVED"` - GitLabProjectsOrderBy string `yaml:"GITLAB_PROJECTS_ORDER_BY"` - GitLabProjectsSort string `yaml:"GITLAB_PROJECTS_SORT"` - } - if err := yaml.Unmarshal(configBytes, &config); err != nil { - log.Fatalf("[ERROR] Config file could not be parsed: %v", err) - } - - log.Println("[INFO] Loaded config from config/cfg.yaml.") - log.Printf("[INFO] Query: %s", config.GitLabScrapingQuery) - token := config.GitLabAccessToken - if token == "" { - log.Println("warning: GITLAB_ACCESS_TOKEN not set; may hit rate limits") - } - maxProjects := config.GitLabTopN - if maxProjects <= 0 { - maxProjects = 1000 - } - - // Initialize GitLab client - - client := gitlab.NewClient(nil, token) - if config.GitLabApiUrl != "" { - if err := client.SetBaseURL(config.GitLabApiUrl); err != nil { - log.Fatalf("Failed to set GitLab API URL: %v", err) - } - } - - // Build search options from config - - archived := false - if config.GitLabProjectsArchived == "true" { - archived = true - } - - opt := &gitlab.ListProjectsOptions{ - OrderBy: config.GitLabProjectsOrderBy, - Sort: config.GitLabProjectsSort, - Search: config.GitLabScrapingQuery, - Archived: archived, - // Add Visibility if supported by the client library - // Visibility: config.GitLabProjectsVisibility, - } - - var allProjects []*gitlab.Project - collected := 0 - page := 1 - for collected < maxProjects { - opt.Page = page - projects, resp, err := client.Projects.ListProjects(opt) - if err != nil { - log.Fatalf("GitLab API error: %v", err) - } - if len(projects) == 0 { - break - } - allProjects = append(allProjects, projects...) - collected += len(projects) - if resp == nil || resp.NextPage == 0 { - break - } - page = resp.NextPage - } - - // Truncate if too many projects - if len(allProjects) > maxProjects { - allProjects = allProjects[:maxProjects] - } - - // Output results as JSON - if err := json.NewEncoder(os.Stdout).Encode(allProjects); err != nil { - log.Fatalf("json encode: %v", err) - } -} diff --git a/src/services/go/scraper/common.go b/src/services/go/scraper/common.go new file mode 100644 index 00000000..a2490058 --- /dev/null +++ b/src/services/go/scraper/common.go @@ -0,0 +1,106 @@ +package main + +import ( + "context" + "encoding/json" + "fmt" + "net/http" + "net/url" + "strconv" + "time" +) + +type githubRepo struct { + ID int64 `json:"id"` + Name string `json:"name"` + FullName string `json:"full_name"` + HTMLURL string `json:"html_url"` + Description *string `json:"description"` + Stargazers int `json:"stargazers_count"` + Forks int `json:"forks_count"` + OpenIssues int `json:"open_issues_count"` + Language *string `json:"language"` + Homepage *string `json:"homepage"` + DefaultBr *string `json:"default_branch"` + Private *bool `json:"private"` + Owner *struct { + Login string `json:"login"` + AvatarURL *string `json:"avatar_url"` + } `json:"owner"` + CreatedAt string `json:"created_at"` + UpdatedAt string `json:"updated_at"` + PushedAt string `json:"pushed_at"` +} + +type githubSearchResponse struct { + TotalCount int `json:"total_count"` + IncompleteResults bool `json:"incomplete_results"` + Items []githubRepo `json:"items"` +} + +// rateLimitError is returned when GitHub responds with 403 due to rate limiting. +type rateLimitError struct { + RetryAfter time.Duration +} + +func (e *rateLimitError) Error() string { + return fmt.Sprintf("rate limited, retry after %s", e.RetryAfter) +} + +func newHTTPClient() *http.Client { + return &http.Client{Timeout: 30 * time.Second} +} + +func fetchGitHubRepos(ctx context.Context, client *http.Client, token string, apiURL string, query string, perPage, page int) (githubSearchResponse, error) { + var result githubSearchResponse + if apiURL == "" { + return result, fmt.Errorf("GITHUB_API_URL is required but not set") + } + base, err := url.Parse(apiURL) + if err != nil { + return result, fmt.Errorf("invalid github api url: %v", err) + } + q := base.Query() + q.Set("q", query) + q.Set("sort", "stars") + q.Set("order", "desc") + q.Set("per_page", strconv.Itoa(perPage)) + q.Set("page", strconv.Itoa(page)) + base.RawQuery = q.Encode() + + req, err := http.NewRequestWithContext(ctx, "GET", base.String(), nil) + if err != nil { + return result, fmt.Errorf("creating request: %w", err) + } + req.Header.Set("Accept", "application/vnd.github+json") + req.Header.Set("User-Agent", "ost-linker-scraper") + req.Header.Set("X-GitHub-Api-Version", "2022-11-28") + if token != "" { + req.Header.Set("Authorization", "token "+token) + } + + resp, err := client.Do(req) + if err != nil { + return result, err + } + defer resp.Body.Close() + + if resp.StatusCode == 403 { + retryAfter := resp.Header.Get("Retry-After") + if retryAfter != "" { + seconds, parseErr := strconv.Atoi(retryAfter) + if parseErr == nil { + return result, &rateLimitError{RetryAfter: time.Duration(seconds) * time.Second} + } + } + return result, &rateLimitError{RetryAfter: 60 * time.Second} + } + + if resp.StatusCode != 200 { + return result, fmt.Errorf("github api status %d", resp.StatusCode) + } + if err := json.NewDecoder(resp.Body).Decode(&result); err != nil { + return result, err + } + return result, nil +} diff --git a/src/services/go/scraper/go.mod b/src/services/go/scraper/go.mod new file mode 100644 index 00000000..c5a7dc39 --- /dev/null +++ b/src/services/go/scraper/go.mod @@ -0,0 +1,17 @@ +module github.com/opensource-together/ost-ai-engine/github-scraper + +go 1.24.6 + +require ( + github.com/google/uuid v1.6.0 + github.com/jackc/pgx/v5 v5.7.6 +) + +require ( + github.com/jackc/pgpassfile v1.0.0 // indirect + github.com/jackc/pgservicefile v0.0.0-20240606120523-5a60cdf6a761 // indirect + github.com/jackc/puddle/v2 v2.2.2 // indirect + golang.org/x/crypto v0.37.0 // indirect + golang.org/x/sync v0.13.0 // indirect + golang.org/x/text v0.24.0 // indirect +) diff --git a/src/services/go/scraper/go.sum b/src/services/go/scraper/go.sum new file mode 100644 index 00000000..084d1d3d --- /dev/null +++ b/src/services/go/scraper/go.sum @@ -0,0 +1,30 @@ +github.com/davecgh/go-spew v1.1.0/go.mod h1:J7Y8YcW2NihsgmVo/mv3lAwl/skON4iLHjSsI+c5H38= +github.com/davecgh/go-spew v1.1.1 h1:vj9j/u1bqnvCEfJOwUhtlOARqs3+rkHYY13jYWTU97c= +github.com/davecgh/go-spew v1.1.1/go.mod h1:J7Y8YcW2NihsgmVo/mv3lAwl/skON4iLHjSsI+c5H38= +github.com/google/uuid v1.6.0 h1:NIvaJDMOsjHA8n1jAhLSgzrAzy1Hgr+hNrb57e+94F0= +github.com/google/uuid v1.6.0/go.mod h1:TIyPZe4MgqvfeYDBFedMoGGpEw/LqOeaOT+nhxU+yHo= +github.com/jackc/pgpassfile v1.0.0 h1:/6Hmqy13Ss2zCq62VdNG8tM1wchn8zjSGOBJ6icpsIM= +github.com/jackc/pgpassfile v1.0.0/go.mod h1:CEx0iS5ambNFdcRtxPj5JhEz+xB6uRky5eyVu/W2HEg= +github.com/jackc/pgservicefile v0.0.0-20240606120523-5a60cdf6a761 h1:iCEnooe7UlwOQYpKFhBabPMi4aNAfoODPEFNiAnClxo= +github.com/jackc/pgservicefile v0.0.0-20240606120523-5a60cdf6a761/go.mod h1:5TJZWKEWniPve33vlWYSoGYefn3gLQRzjfDlhSJ9ZKM= +github.com/jackc/pgx/v5 v5.7.6 h1:rWQc5FwZSPX58r1OQmkuaNicxdmExaEz5A2DO2hUuTk= +github.com/jackc/pgx/v5 v5.7.6/go.mod h1:aruU7o91Tc2q2cFp5h4uP3f6ztExVpyVv88Xl/8Vl8M= +github.com/jackc/puddle/v2 v2.2.2 h1:PR8nw+E/1w0GLuRFSmiioY6UooMp6KJv0/61nB7icHo= +github.com/jackc/puddle/v2 v2.2.2/go.mod h1:vriiEXHvEE654aYKXXjOvZM39qJ0q+azkZFrfEOc3H4= +github.com/pmezard/go-difflib v1.0.0 h1:4DBwDE0NGyQoBHbLQYPwSUPoCMWR5BEzIk/f1lZbAQM= +github.com/pmezard/go-difflib v1.0.0/go.mod h1:iKH77koFhYxTK1pcRnkKkqfTogsbg7gZNVY4sRDYZ/4= +github.com/stretchr/objx v0.1.0/go.mod h1:HFkY916IF+rwdDfMAkV7OtwuqBVzrE8GR6GFx+wExME= +github.com/stretchr/testify v1.3.0/go.mod h1:M5WIy9Dh21IEIfnGCwXGc5bZfKNJtfHm1UVUgZn+9EI= +github.com/stretchr/testify v1.7.0/go.mod h1:6Fq8oRcR53rry900zMqJjRRixrwX3KX962/h/Wwjteg= +github.com/stretchr/testify v1.8.1 h1:w7B6lhMri9wdJUVmEZPGGhZzrYTPvgJArz7wNPgYKsk= +github.com/stretchr/testify v1.8.1/go.mod h1:w2LPCIKwWwSfY2zedu0+kehJoqGctiVI29o6fzry7u4= +golang.org/x/crypto v0.37.0 h1:kJNSjF/Xp7kU0iB2Z+9viTPMW4EqqsrywMXLJOOsXSE= +golang.org/x/crypto v0.37.0/go.mod h1:vg+k43peMZ0pUMhYmVAWysMK35e6ioLh3wB8ZCAfbVc= +golang.org/x/sync v0.13.0 h1:AauUjRAJ9OSnvULf/ARrrVywoJDy0YS2AwQ98I37610= +golang.org/x/sync v0.13.0/go.mod h1:1dzgHSNfp02xaA81J2MS99Qcpr2w7fw1gpm99rleRqA= +golang.org/x/text v0.24.0 h1:dd5Bzh4yt5KYA8f9CJHCP4FB4D51c2c6JvN37xJJkJ0= +golang.org/x/text v0.24.0/go.mod h1:L8rBsPeo2pSS+xqN0d5u2ikmjtmoJbDBT1b7nHvFCdU= +gopkg.in/check.v1 v0.0.0-20161208181325-20d25e280405/go.mod h1:Co6ibVJAznAaIkqp8huTwlJQCZ016jof/cbN4VW5Yz0= +gopkg.in/yaml.v3 v3.0.0-20200313102051-9f266ea9e77c/go.mod h1:K4uyk7z7BCEPqu6E+C64Yfv1cQ7kz7rIZviUmN+EgEM= +gopkg.in/yaml.v3 v3.0.1 h1:fxVm/GzAzEWqLHuvctI91KS9hhNmmWOoWu0XTYJS7CA= +gopkg.in/yaml.v3 v3.0.1/go.mod h1:K4uyk7z7BCEPqu6E+C64Yfv1cQ7kz7rIZviUmN+EgEM= diff --git a/src/services/go/scraper/main.go b/src/services/go/scraper/main.go new file mode 100644 index 00000000..0e514b91 --- /dev/null +++ b/src/services/go/scraper/main.go @@ -0,0 +1,217 @@ +package main + +import ( + "context" + "encoding/json" + "errors" + "log" + "net/http" + "os" + "sync" + "time" + + "github.com/google/uuid" + "github.com/jackc/pgx/v5" + "github.com/jackc/pgx/v5/pgxpool" +) + +type queryResult struct { + Query string `json:"query"` + CollectedCount int `json:"collected_count"` + UpsertedCount int `json:"upserted_count"` + FailedUpserts int `json:"failed_upserts"` +} + +type scrapeSummary struct { + Queries []queryResult `json:"queries"` + TotalCollected int `json:"total_collected"` + TotalUpserted int `json:"total_upserted"` + TotalFailed int `json:"total_failed"` + Status string `json:"status"` + DurationSeconds float64 `json:"duration_seconds"` +} + +// scrapeQuery runs the paginated scrape+upsert loop for a single GitHub search query. +func scrapeQuery(ctx context.Context, pool *pgxpool.Pool, client *http.Client, + token, apiURL, query string, maxRepos, perPage int) queryResult { + + res := queryResult{Query: query} + const maxRetries = 3 + + for page := 1; res.CollectedCount < maxRepos; page++ { + var ghRes githubSearchResponse + var fetchErr error + for attempt := 1; attempt <= maxRetries; attempt++ { + ghRes, fetchErr = fetchGitHubRepos(ctx, client, token, apiURL, query, perPage, page) + if fetchErr == nil { + break + } + + var rlErr *rateLimitError + if errors.As(fetchErr, &rlErr) { + log.Printf("[WARN] [%s] Rate limited, sleeping %s before retry", query, rlErr.RetryAfter) + time.Sleep(rlErr.RetryAfter) + continue + } + + if attempt < maxRetries { + backoff := time.Duration(attempt) * 2 * time.Second + log.Printf("[WARN] [%s] GitHub fetch attempt %d/%d failed: %v, retrying in %s", + query, attempt, maxRetries, fetchErr, backoff) + time.Sleep(backoff) + } + } + if fetchErr != nil { + log.Printf("[ERROR] [%s] GitHub fetch failed after %d retries: %v, stopping with partial results", + query, maxRetries, fetchErr) + break + } + + if len(ghRes.Items) == 0 { + break + } + + if ghRes.IncompleteResults { + log.Printf("[WARN] [%s] GitHub returned incomplete results for page %d", query, page) + } + + // Batch upsert via SendBatch + batch := &pgx.Batch{} + for _, repo := range ghRes.Items { + repoData, err := json.Marshal(repo) + if err != nil { + log.Printf("[ERROR] [%s] Error marshaling repo %s: %v", query, repo.Name, err) + res.FailedUpserts++ + continue + } + + repoURL := repo.HTMLURL + if repoURL == "" { + continue + } + + id := uuid.NewSHA1(uuid.NameSpaceURL, []byte(repoURL)) + + batch.Queue(` + INSERT INTO "github"."raw_github_project" ("id", "data", "createdAt", "updatedAt") + VALUES ($1, $2, NOW(), NOW()) + ON CONFLICT ("id") DO UPDATE + SET "data" = EXCLUDED."data", + "updatedAt" = NOW() + `, id.String(), repoData) + } + + if batch.Len() > 0 { + dbCtx, dbCancel := context.WithTimeout(ctx, 30*time.Second) + br := pool.SendBatch(dbCtx, batch) + for i := 0; i < batch.Len(); i++ { + _, err := br.Exec() + if err != nil { + log.Printf("[ERROR] [%s] Failed to upsert repo (batch item %d): %v", query, i, err) + res.FailedUpserts++ + } else { + res.UpsertedCount++ + } + } + br.Close() + dbCancel() + } + + res.CollectedCount += len(ghRes.Items) + log.Printf("[INFO] [%s] Collected %d / %d", query, res.CollectedCount, maxRepos) + } + + return res +} + +// parseQueries resolves the list of queries from env vars. +// Priority: GITHUB_SCRAPING_QUERIES (JSON array) > GITHUB_SCRAPING_QUERY (single string). +func parseQueries() []string { + if raw := os.Getenv("GITHUB_SCRAPING_QUERIES"); raw != "" { + var queries []string + if err := json.Unmarshal([]byte(raw), &queries); err != nil { + log.Fatalf("Failed to parse GITHUB_SCRAPING_QUERIES as JSON array: %v", err) + } + if len(queries) == 0 { + log.Fatal("GITHUB_SCRAPING_QUERIES is an empty array") + } + return queries + } + if q := os.Getenv("GITHUB_SCRAPING_QUERY"); q != "" { + return []string{q} + } + log.Fatal("Either GITHUB_SCRAPING_QUERIES or GITHUB_SCRAPING_QUERY must be set") + return nil +} + +func main() { + queries := parseQueries() + log.Printf("[INFO] Running %d queries", len(queries)) + for i, q := range queries { + log.Printf("[INFO] query[%d]: %s", i, q) + } + + token := os.Getenv("GITHUB_ACCESS_TOKEN") + if token == "" { + log.Println("[WARN] GITHUB_ACCESS_TOKEN not set; may hit rate limits") + } + + apiURL := os.Getenv("GITHUB_API_URL") + if apiURL == "" { + apiURL = "https://api.github.com/search/repositories" + } + + dbURL := os.Getenv("DATABASE_URL") + if dbURL == "" { + log.Fatal("DATABASE_URL is required") + } + + maxRepos := 1000 // GitHub Search API hard limit per query + perPage := 100 // GitHub API per_page limit + + // Top-level context — generous timeout for parallel queries + ctx, cancel := context.WithTimeout(context.Background(), 8*time.Minute) + defer cancel() + + pool, err := pgxpool.New(ctx, dbURL) + if err != nil { + log.Fatalf("Unable to create connection pool: %v", err) + } + defer pool.Close() + + client := newHTTPClient() + start := time.Now() + + results := make([]queryResult, len(queries)) + var wg sync.WaitGroup + + for idx, q := range queries { + wg.Add(1) + go func(i int, query string) { + defer wg.Done() + results[i] = scrapeQuery(ctx, pool, client, token, apiURL, query, maxRepos, perPage) + }(idx, q) + } + + wg.Wait() + + // Aggregate + summary := scrapeSummary{ + Queries: results, + DurationSeconds: time.Since(start).Seconds(), + } + for _, r := range results { + summary.TotalCollected += r.CollectedCount + summary.TotalUpserted += r.UpsertedCount + summary.TotalFailed += r.FailedUpserts + } + + summary.Status = "success" + if summary.TotalFailed > 0 { + summary.Status = "partial" + } + + if err := json.NewEncoder(os.Stdout).Encode(summary); err != nil { + log.Fatalf("json encode: %v", err) + } +} diff --git a/src/services/python/db.py b/src/services/python/db.py new file mode 100644 index 00000000..c6269f0e --- /dev/null +++ b/src/services/python/db.py @@ -0,0 +1,43 @@ +import os +from collections.abc import Generator +from contextlib import contextmanager +from typing import Any + +import psycopg2 +from psycopg2.extras import RealDictCursor + + +@contextmanager +def get_db_connection() -> Generator[Any]: + """ + Context manager for a database connection. + Yields a connection object. + """ + conn = None + try: + # Connect to the database using the DATABASE_URL environment variable + # or fallback to a default if not set (though it should be set) + db_url = os.environ.get("DATABASE_URL") + if not db_url: + raise ValueError("DATABASE_URL environment variable is not set") + + conn = psycopg2.connect(db_url) + yield conn + conn.commit() + except Exception as e: + if conn: + conn.rollback() + raise e + finally: + if conn: + conn.close() + + +@contextmanager +def get_db_cursor(commit: bool = False) -> Generator[Any]: + """ + Context manager for a database cursor. + Yields a cursor object (RealDictCursor). + """ + with get_db_connection() as conn, conn.cursor(cursor_factory=RealDictCursor) as cur: + yield cur diff --git a/src/services/python/load_cfg.py b/src/services/python/load_cfg.py deleted file mode 100644 index b4ab1029..00000000 --- a/src/services/python/load_cfg.py +++ /dev/null @@ -1,91 +0,0 @@ -import os -import yaml -from dotenv import load_dotenv -from dagster import Config -from pydantic import Field -from pathlib import Path - -load_dotenv() - -CONFIG_YAML_PATH = os.getenv("OST_CONFIG_PATH") - -with open(CONFIG_YAML_PATH, "r") as f: - config_yaml = yaml.safe_load(f) - -class PipelineConfig(Config): - """ - Central configuration for the Dagster pipeline. - All secrets and connection info are loaded from config/cfg.yaml. - """ - - # ENV - db_url: str = Field( - default=config_yaml.get("DATABASE_URL", ""), - description="Database connection string (e.g. postgresql://user:pass@host:port/dbname)" - ) - # FastText model path used by core language detection - fasttext_model_path: str = Field( - default=config_yaml.get("FASTTEXT_MODEL_PATH", ""), - description="Filesystem path to the FastText lid.176.ftz model used for language identification", - ) - - # GITHUB - github_token: str = Field( - default=config_yaml.get("GITHUB_ACCESS_TOKEN", ""), - description="GitHub API access token" - ) - github_scraping_query: str = Field( - default=config_yaml.get("GITHUB_SCRAPING_QUERY", ""), - description="GitHub scraper parameter query" - ) - github_top_n: int = Field( - default=config_yaml.get("GITHUB_TOP_N", 30), - description="Number of top GitHub repos to fetch per run" - ) - - github_api_url: str = Field( - default=config_yaml.get("GITHUB_API_URL", ""), - description="GitHub API URL (required, e.g. https://api.github.com/search/repositories)" - ) - - # GITLAB - gitlab_token: str = Field( - default=config_yaml.get("GITLAB_ACCESS_TOKEN", ""), - description="GitLab API access token" - ) - gitlab_scraping_query: str = Field( - default=config_yaml.get("GITLAB_SCRAPING_QUERY", ""), - description="GitLab scraper parameter query (keyword)" - ) - gitlab_projects_visibility: str = Field( - default=config_yaml.get("GITLAB_PROJECTS_VISIBILITY", "public"), - description="GitLab projects visibility (public/private/internal)" - ) - gitlab_projects_archived: str = Field( - default=config_yaml.get("GITLAB_PROJECTS_ARCHIVED", "false"), - description="GitLab projects archived (true/false)" - ) - gitlab_projects_order_by: str = Field( - default=config_yaml.get("GITLAB_PROJECTS_ORDER_BY", "created_at"), - description="GitLab projects order_by (created_at, updated_at, etc.)" - ) - gitlab_projects_sort: str = Field( - default=config_yaml.get("GITLAB_PROJECTS_SORT", "desc"), - description="GitLab projects sort (asc/desc)" - ) - gitlab_top_n: int = Field( - default=config_yaml.get("GITLAB_TOP_N", 30), - description="Number of top GitLab repos to fetch per run" - ) - - # Path to the techstacks seed file (TypeScript). Used by assets to build allowed tech list. - techstacks_seed_path: str = Field( - default=config_yaml.get("TECHSTACKS_SEED_PATH", "/app/prisma/seed/techstacks-data.ts"), - description="Filesystem path to the techstacks seed file (techstacks-data.ts)", - ) - - # Strategy used by merger asset to combine parallel outputs: intersection|union|prefer_primary - merge_strategy: str = Field( - default=config_yaml.get("MERGE_STRATEGY", "intersection"), - description="Merge strategy for combining parallel asset outputs (intersection|union|prefer_primary)", - ) diff --git a/src/services/python/prisma_client.py b/src/services/python/prisma_client.py deleted file mode 100644 index e331df6f..00000000 --- a/src/services/python/prisma_client.py +++ /dev/null @@ -1,57 +0,0 @@ -import os -import logging -from contextlib import contextmanager - - -@contextmanager -def prisma_client(): - """Context manager to initialize Prisma client with defensive logging. - - This function is intentionally defensive: importing the Prisma package or - connecting the query engine can fail (or the engine binary may be - incompatible). In those cases we log the error and yield ``None`` so - callers can decide to skip DB writes instead of letting the child - process crash with an uncontrolled signal. - """ - # Keep caches unset to avoid unexpected cache dirs in containerized runs - os.environ.setdefault("PRISMA_BINARY_CACHE_DIR", "") - os.environ.setdefault("XDG_CACHE_HOME", "") - - try: - from prisma import Prisma - except Exception as e: - logging.exception("prisma_client: failed to import prisma package: %s", e) - # Yield None so callers can skip DB work gracefully - yield None - return - - prisma = None - try: - prisma = Prisma() - except Exception as e: - logging.exception("prisma_client: failed to instantiate Prisma(): %s", e) - yield None - return - - try: - # Attempt to connect; this can raise if the query-engine binary is - # missing/incompatible. Catch and log so the worker doesn't fail - # without a clear diagnostic in logs. - prisma.connect() - except Exception as e: - logging.exception("prisma_client: prisma.connect() failed: %s", e) - # Try to cleanup if the client partially initialized - try: - prisma.disconnect() - except Exception: - pass - yield None - return - - try: - yield prisma - finally: - try: - prisma.disconnect() - except Exception: - pass diff --git a/tests/__init__.py b/tests/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/tests/unit/__init__.py b/tests/unit/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/tests/unit/test_cfg_resource.py b/tests/unit/test_cfg_resource.py new file mode 100644 index 00000000..05148272 --- /dev/null +++ b/tests/unit/test_cfg_resource.py @@ -0,0 +1,150 @@ +import json +from datetime import date, timedelta + +import pytest + +from src.linker.resources.cfg_resource import ( + EXCLUDED_TERMS, + STAR_RANGES, + PipelineConfig, + build_default_github_queries, + build_default_github_query, + build_fetcher_env, + build_scraper_env, +) + + +@pytest.mark.unit +class TestBuildDefaultGithubQuery: + def test_contains_star_range(self): + query = build_default_github_query() + assert "stars:300..5000" in query + + def test_contains_good_first_issues(self): + query = build_default_github_query() + assert "good-first-issues:>1" in query + + def test_excludes_all_terms(self): + query = build_default_github_query() + for term in EXCLUDED_TERMS: + assert f'NOT "{term}"' in query + + def test_pushed_date_is_seven_days_ago(self): + query = build_default_github_query() + expected_date = (date.today() - timedelta(days=7)).isoformat() + assert f"pushed:>={expected_date}" in query + + def test_contains_archive_and_public_filters(self): + query = build_default_github_query() + assert "is:public" in query + assert "archived:false" in query + + +@pytest.mark.unit +class TestBuildDefaultGithubQueries: + def test_returns_one_query_per_star_range(self): + queries = build_default_github_queries() + assert len(queries) == len(STAR_RANGES) + + def test_each_query_has_correct_star_range(self): + queries = build_default_github_queries() + for query, (low, high) in zip(queries, STAR_RANGES): + assert f"stars:{low}..{high}" in query + + def test_each_query_excludes_terms(self): + queries = build_default_github_queries() + for query in queries: + for term in EXCLUDED_TERMS: + assert f'NOT "{term}"' in query + + def test_each_query_has_pushed_date(self): + queries = build_default_github_queries() + expected_date = (date.today() - timedelta(days=7)).isoformat() + for query in queries: + assert f"pushed:>={expected_date}" in query + + +def _make_config(**overrides: str) -> PipelineConfig: + """Build a PipelineConfig with sensible test defaults.""" + defaults = { + "db_url": "postgresql://u:p@localhost:5432/test", + "github_token": "ghp_test_token", + "go_scraper_path": "/usr/local/bin/github-scraper", + "go_fetcher_path": "/usr/local/bin/ost-fetcher", + } + defaults.update(overrides) + return PipelineConfig(**defaults) + + +@pytest.mark.unit +class TestBuildScraperEnv: + def test_includes_database_url(self): + cfg = _make_config(db_url="postgresql://a:b@host/db") + env = build_scraper_env(cfg) + assert env["DATABASE_URL"] == "postgresql://a:b@host/db" + + def test_uses_explicit_query_when_provided(self): + cfg = _make_config(github_scraping_query="stars:>1000") + env = build_scraper_env(cfg) + assert env["GITHUB_SCRAPING_QUERY"] == "stars:>1000" + + def test_falls_back_to_default_query(self): + """When no explicit query, first query uses first STAR_RANGES entry.""" + cfg = _make_config(github_scraping_query="") + env = build_scraper_env(cfg) + low, high = STAR_RANGES[0] + assert f"stars:{low}..{high}" in env["GITHUB_SCRAPING_QUERY"] + + def test_includes_github_token(self): + cfg = _make_config(github_token="ghp_abc") + env = build_scraper_env(cfg) + assert env["GITHUB_ACCESS_TOKEN"] == "ghp_abc" + + def test_includes_go_paths(self): + cfg = _make_config( + go_scraper_path="/bin/scraper", + go_fetcher_path="/bin/fetcher", + ) + env = build_scraper_env(cfg) + assert env["GO_SCRAPER_PATH"] == "/bin/scraper" + assert env["GO_FETCHER_PATH"] == "/bin/fetcher" + + def test_sets_queries_json_array_when_no_explicit_query(self): + """GITHUB_SCRAPING_QUERIES is a JSON array with one entry per star range.""" + cfg = _make_config(github_scraping_query="") + env = build_scraper_env(cfg) + queries = json.loads(env["GITHUB_SCRAPING_QUERIES"]) + assert isinstance(queries, list) + assert len(queries) == len(STAR_RANGES) + + def test_sets_single_query_in_array_when_explicit(self): + """Explicit query is wrapped in a single-element JSON array.""" + cfg = _make_config(github_scraping_query="stars:>5000") + env = build_scraper_env(cfg) + queries = json.loads(env["GITHUB_SCRAPING_QUERIES"]) + assert queries == ["stars:>5000"] + + def 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