diff --git a/.dockerignore b/.dockerignore new file mode 100644 index 0000000..222254e --- /dev/null +++ b/.dockerignore @@ -0,0 +1,9 @@ +.venv +**/__pycache__ +*.pyc +.git +.pytest_cache +node_modules +dist +.env +.env.local diff --git a/.gitignore b/.gitignore index d80b681..c426832 100644 --- a/.gitignore +++ b/.gitignore @@ -31,3 +31,10 @@ __pycache__/ *.py[cod] *.pyo *. + +# Private keys / Secrets +deploy_key + +# Snowflake local config +snowflake.conf +*.conf diff --git a/agent/Dockerfile b/agent/Dockerfile new file mode 100644 index 0000000..a228aad --- /dev/null +++ b/agent/Dockerfile @@ -0,0 +1,26 @@ +FROM python:3.12-slim + +RUN pip install uv +RUN apt-get update && apt-get install -y git openssh-client + +# Configure git to use ssh for github.com +RUN git config --global url."git@github.com:".insteadOf "https://github.com/" + +WORKDIR /app + +# Copy workspace +COPY core /app/core +COPY agent /app/agent + +WORKDIR /app/agent + +# Mount SSH deploy key secret and sync dependencies +RUN --mount=type=secret,id=deploy_key,target=/root/.ssh/id_rsa,mode=0600 \ + mkdir -p -m 0700 /root/.ssh && \ + ssh-keyscan github.com >> /root/.ssh/known_hosts && \ + uv sync + +# Add virtualenv bin to PATH to run uvicorn +ENV PATH="/app/agent/.venv/bin:$PATH" + +CMD ["uvicorn", "agent.main:app", "--host", "0.0.0.0", "--port", "8001"] diff --git a/backend/app/db/__init__.py b/agent/README.md similarity index 100% rename from backend/app/db/__init__.py rename to agent/README.md diff --git a/agent/pyproject.toml b/agent/pyproject.toml new file mode 100644 index 0000000..1e46085 --- /dev/null +++ b/agent/pyproject.toml @@ -0,0 +1,32 @@ +[project] +name = "agent" +version = "0.1.0" +description = "Text2SQL Agent Service" +readme = "README.md" +requires-python = ">=3.12,<3.13" +dependencies = [ + "fastapi>=0.115.6", + "uvicorn[standard]>=0.32.1", + "langgraph", + "langchain-ollama", + "core", + "esca-sdk", + "pydantic-settings>=2.7.0", + "trino>=0.328.0", + "langfuse>=2.0.0", + "langchain", + "langchain-openai" +] + +[tool.uv.sources] +core = { path = "../core" } +esca-sdk = { git = "https://github.com/elirazpevz/esca.git", subdirectory = "packages/esca-sdk" } + +[build-system] +requires = ["uv_build>=0.11.7,<0.12.0"] +build-backend = "uv_build" + +[dependency-groups] +dev = [ + "pytest>=9.0.3", +] diff --git a/agent/scripts/upload_all_prompts.py b/agent/scripts/upload_all_prompts.py new file mode 100644 index 0000000..e053269 --- /dev/null +++ b/agent/scripts/upload_all_prompts.py @@ -0,0 +1,188 @@ +import os +from langfuse import Langfuse + +# ============================================================================== +# CONFIGURATION - Set your private Langfuse server credentials here +# ============================================================================== +LANGFUSE_PUBLIC_KEY = "pk-lf-..." +LANGFUSE_SECRET_KEY = "sk-lf-..." +LANGFUSE_BASE_URL = "http://localhost:3000" # Replace with your Langfuse URL + +def main(): + print(f"Connecting to Langfuse at {LANGFUSE_BASE_URL}...") + langfuse_client = Langfuse( + public_key=LANGFUSE_PUBLIC_KEY, + secret_key=LANGFUSE_SECRET_KEY, + host=LANGFUSE_BASE_URL, + ) + + prompts_to_upload = [ + { + "name": "text2sql/extractor", + "prompt": [ + { + "role": "system", + "content": ( + "You are a query enrichment assistant for a text-to-SQL system.\n\n" + "Your job is to read the user's natural-language query and add context that " + "makes ambiguous or implicit terms clearer for downstream processing.\n\n" + "Add enrichment entries for things like:\n" + " • Abbreviations or acronyms that have a specific meaning " + "(e.g. 'MDA' → 'Magen David Adom')\n" + " • Relative time expressions that can be resolved to absolute dates " + "(e.g. 'last quarter' → 'Q1 2025, Jan 1 – Mar 31 2025')\n" + " • Ambiguous proper nouns where context helps " + "(e.g. 'Jordan' used as a country vs. a person's name)\n" + " • Domain-specific shorthand the downstream system may not know\n\n" + "Do NOT try to identify which database table or column to use — that is handled by a " + "separate schema exploration phase.\n" + "Do NOT add enrichments for terms that are already fully clear from the query.\n" + "If the query needs no enrichment, return an empty enrichments list." + ) + }, + { + "role": "user", + "content": "{{user_query}}" + } + ], + "type": "chat" + }, + { + "name": "text2sql/schema_explorer", + "prompt": [ + { + "role": "system", + "content": ( + "You are a Schema Explorer sub-agent. Your goal is to identify the most relevant tables " + "and inspect their column details to form a query plan for the user's question.\n\n" + "Candidate Tables found:\n{{tables_json}}\n\n" + "Detailed Profiles for top tables (with Esca Reference IDs):\n{{profiles_json}}\n\n" + "## Decision-Making Rules\n\n" + "You MUST make all planning decisions autonomously. This includes:\n" + "- Join strategy: If multiple tables are needed to answer the query, decide which tables to join and on which keys — do NOT ask the user.\n" + "- Column selection: Choose the most appropriate columns yourself.\n" + "- Filter strategy: Infer filters from the user's question.\n" + "- Table selection when one is clearly more appropriate: Pick the best match and proceed.\n\n" + "## When to Flag Ambiguity (ONLY these cases)\n\n" + "Set ambiguity_detected=true ONLY IF:\n" + "1. Two or more completely independent tables could each independently and fully answer the user's question, " + "and you have no way to determine which one the user wants (e.g., 'orders' vs 'orders_archive' with no " + "indication of time range, or two fact tables from different business domains that both seem equally relevant).\n" + "2. There is no table in the catalog that can answer the query at all.\n\n" + "Do NOT flag ambiguity for: join decisions, column choices, filter logic, or any decision you can make yourself.\n\n" + "## Output Format\n\n" + "Output MUST be a valid JSON object with the following keys:\n" + "- schema_plan: detailed query plan describing tables, columns, joins, and Esca reference IDs (empty string if ambiguity_detected is true)\n" + "- ambiguity_detected: boolean, true ONLY in the hard-blocker cases described above\n" + "- ambiguity_message: a concise question to ask the user to resolve the blocker (empty string if ambiguity_detected is false)\n" + "- candidate_options: list of strings (table names or options) for the user to choose from (empty list if ambiguity_detected is false)\n" + "Return only the raw JSON, no markdown formatting (no ```json code blocks)." + ) + }, + { + "role": "user", + "content": "{{human_message}}" + } + ], + "type": "chat" + }, + { + "name": "text2sql/query_builder", + "prompt": [ + { + "role": "system", + "content": "You are a SQL expert who specializes in trino. Build a SQL query based on the plan and user query. Output ONLY the SQL query, nothing else." + }, + { + "role": "user", + "content": "Plan: {{schema_plan}}\nQuery: {{user_query}}{{feedback_str}}" + } + ], + "type": "chat" + }, + { + "name": "text2sql/refiner", + "prompt": [ + { + "role": "system", + "content": "You are a Trino SQL expert. Fix the SQL query based on the database error. Output ONLY the fixed SQL query, nothing else (no backticks, no explanation)." + }, + { + "role": "user", + "content": "SQL: {{sql}}\nError: {{error}}" + } + ], + "type": "chat" + }, + { + "name": "text2sql/finalizer_summary", + "prompt": [ + { + "role": "system", + "content": ( + "You are a helpful data assistant. Summarize the findings for the user nicely. " + "You are given the SQL query that was executed and a preview of the queried data (columns and first few rows) to help you understand the context of the results. " + "Note: If the columns contain single items or aliases like `_col0` with a numeric value, this is the result of an aggregation query (such as `COUNT(*)`). Use this direct result to answer the user's question.\n\n" + "Data Preview:\n{{data_preview}}" + ) + }, + { + "role": "user", + "content": "User asked: {{user_query}}\nSQL Query: {{sql_query}}\nData Ref: {{raw_data_ref}}" + } + ], + "type": "chat" + }, + { + "name": "text2sql/finalizer_sql_explanation", + "prompt": [ + { + "role": "system", + "content": ( + "You are a database analyst assistant. Explain the following SQL query in clear, natural language. " + "Describe what fields and tables are queried, any filters, joins, groupings, or aggregations, and what the query accomplishes. " + "Keep the explanation concise and professional." + ) + }, + { + "role": "user", + "content": "SQL Query:\n{{sql_query}}" + } + ], + "type": "chat" + }, + { + "name": "text2sql/rejection_router", + "prompt": [ + { + "role": "system", + "content": ( + "You are a sub-agent routing system. Analyze the user feedback on the previous query builder plan and select which phase to route the execution back to:\n" + "- extractor: Choose this if the user is correcting the query intent, entities, constants, adding or mentioning new entities or asking a completely different question.\n" + "- schema_explorer: Choose this if the user points out a wrong table, suggests using a different table/view, or references table schema selection issues.\n" + "- query_builder: Choose this if the user is requesting a minor change in the SQL query itself (like modifying a WHERE clause, sorting, limits, joins, or specific syntax adjustments), but the tables and overall query intent are correct." + ) + }, + { + "role": "user", + "content": "User Feedback: {{feedback}}" + } + ], + "type": "chat" + } + ] + + for p in prompts_to_upload: + try: + print(f"Uploading prompt: {p['name']}...") + langfuse_client.create_prompt( + name=p["name"], + prompt=p["prompt"], + type=p["type"] + ) + print(f" ✓ Successfully uploaded {p['name']}") + except Exception as e: + print(f" ✗ Failed to upload {p['name']}: {e}") + +if __name__ == "__main__": + main() diff --git a/agent/src/agent/__init__.py b/agent/src/agent/__init__.py new file mode 100644 index 0000000..4e7a92c --- /dev/null +++ b/agent/src/agent/__init__.py @@ -0,0 +1 @@ +# Agent package diff --git a/agent/src/agent/config.py b/agent/src/agent/config.py new file mode 100644 index 0000000..4a12671 --- /dev/null +++ b/agent/src/agent/config.py @@ -0,0 +1,31 @@ +from pydantic import Field +from pydantic_settings import BaseSettings, SettingsConfigDict + +class AgentSettings(BaseSettings): + model_config = SettingsConfigDict(env_file=".env", extra="ignore") + + ESCA_API_KEY: str = "" + ESCA_URL: str = "http://localhost:7010" + LLM_API_KEY: str = "ollama" + LLM_BASE_URL: str = "http://localhost:11434/v1" + LLM_MODEL: str = "gemma4:e4b" + EMBEDDER_URL: str = "http://localhost:11434" + EMBEDDER_MODEL: str = "nomic-embed-text:latest" + HYBRID_SEARCH_MAX_TABLES: int = 10 + MAX_PROFILES_TO_FETCH: int = 3 + + LANGFUSE_SECRET_KEY: str = Field(min_length=1) + LANGFUSE_PUBLIC_KEY: str = Field(min_length=1) + LANGFUSE_BASE_URL: str = Field(min_length=1) + + # Langfuse prompt names + LANGFUSE_PROMPT_EXTRACTOR: str = "text2sql/extractor" + LANGFUSE_PROMPT_SCHEMA_EXPLORER: str = "text2sql/schema_explorer" + LANGFUSE_PROMPT_QUERY_BUILDER: str = "text2sql/query_builder" + LANGFUSE_PROMPT_REFINER: str = "text2sql/refiner" + LANGFUSE_PROMPT_FINALIZER_SUMMARY: str = "text2sql/finalizer_summary" + LANGFUSE_PROMPT_FINALIZER_SQL_EXPLANATION: str = "text2sql/finalizer_sql_explanation" + LANGFUSE_PROMPT_REJECTION_ROUTER: str = "text2sql/rejection_router" + + +settings = AgentSettings() diff --git a/agent/src/agent/graph.py b/agent/src/agent/graph.py new file mode 100644 index 0000000..af95210 --- /dev/null +++ b/agent/src/agent/graph.py @@ -0,0 +1,82 @@ +from langgraph.graph import StateGraph, START, END +from langgraph.checkpoint.memory import MemorySaver +from langchain_openai import ChatOpenAI +from langchain_core.prompts import ChatPromptTemplate +from agent.state import AgentState +from agent.nodes.extractor import extractor_node +from agent.nodes.schema_explorer import schema_explorer_node +from agent.nodes.query_builder import query_builder_node +from agent.nodes.refiner import refiner_node +from agent.nodes.finalizer import finalizer_node +from agent.config import settings +from agent.langfuse_client import langfuse_client +from pydantic import BaseModel, Field +from typing import Literal + +# Initialize LLM for rejection routing classification +llm = ChatOpenAI(model=settings.LLM_MODEL, base_url=settings.LLM_BASE_URL, api_key=settings.LLM_API_KEY, temperature=0) + +class RejectionRoute(BaseModel): + route: Literal["extractor", "schema_explorer", "query_builder"] = Field( + description="The phase to route the execution back to based on the user feedback." + ) + +def rejection_router_node(state: AgentState): + """Classify user rejection feedback and select the appropriate phase to return to.""" + feedback = state.get("feedback") + if not feedback: + return {"feedback_route": "query_builder"} + + langfuse_prompt = langfuse_client.get_prompt(settings.LANGFUSE_PROMPT_REJECTION_ROUTER) + prompt = ChatPromptTemplate.from_messages(langfuse_prompt.get_langchain_prompt()) + + structured_llm = llm.with_structured_output(RejectionRoute, method="json_schema") + chain = prompt | structured_llm + try: + response = chain.invoke({"feedback": feedback}) + route = response.route + except Exception as e: + print(f"Structured output parsing failed: {e}") + route = "extractor" # Fallback + + return {"feedback_route": route} + + +def route_refiner(state: AgentState): + if state.get("trino_error") and state.get("refinement_count", 0) < 3: + return "refiner" + return "finalizer" + +def route_query_builder(state: AgentState): + if state.get("feedback"): + return "rejection_router" + return "refiner" + +def route_rejection(state: AgentState): + route = state.get("feedback_route") + if route in ["extractor", "schema_explorer", "query_builder"]: + return route + return "extractor" + +workflow = StateGraph(AgentState) + +workflow.add_node("extractor", extractor_node) +workflow.add_node("schema_explorer", schema_explorer_node) +workflow.add_node("query_builder", query_builder_node) +workflow.add_node("rejection_router", rejection_router_node) +workflow.add_node("refiner", refiner_node) +workflow.add_node("finalizer", finalizer_node) + +workflow.add_edge(START, "extractor") +workflow.add_edge("extractor", "schema_explorer") +workflow.add_edge("schema_explorer", "query_builder") + +workflow.add_conditional_edges("query_builder", route_query_builder, {"rejection_router": "rejection_router", "refiner": "refiner"}) +workflow.add_conditional_edges("rejection_router", route_rejection, {"extractor": "extractor", "schema_explorer": "schema_explorer", "query_builder": "query_builder"}) + +workflow.add_conditional_edges("refiner", route_refiner, {"refiner": "refiner", "finalizer": "finalizer"}) +workflow.add_edge("finalizer", END) + +memory = MemorySaver() +agent_graph = workflow.compile(checkpointer=memory) + diff --git a/agent/src/agent/langfuse_client.py b/agent/src/agent/langfuse_client.py new file mode 100644 index 0000000..2f3d3cc --- /dev/null +++ b/agent/src/agent/langfuse_client.py @@ -0,0 +1,8 @@ +from langfuse import Langfuse +from agent.config import settings + +langfuse_client = Langfuse( + public_key=settings.LANGFUSE_PUBLIC_KEY, + secret_key=settings.LANGFUSE_SECRET_KEY, + host=settings.LANGFUSE_BASE_URL, +) diff --git a/agent/src/agent/main.py b/agent/src/agent/main.py new file mode 100644 index 0000000..f1709d7 --- /dev/null +++ b/agent/src/agent/main.py @@ -0,0 +1,17 @@ +from fastapi import FastAPI +from agent.routers import chat +from python_core_utils import setup_logging, CorrelationIdMiddleware + +# Set up logging with correlation ID +setup_logging() + +app = FastAPI(title="Text2SQL Agent Service") + +# Register middleware +app.add_middleware(CorrelationIdMiddleware) + +app.include_router(chat.router) + +@app.get("/health") +def health_check(): + return {"status": "ok"} diff --git a/agent/src/agent/nodes/extractor.py b/agent/src/agent/nodes/extractor.py new file mode 100644 index 0000000..1700662 --- /dev/null +++ b/agent/src/agent/nodes/extractor.py @@ -0,0 +1,116 @@ +import abc +import datetime +import requests +from typing import List +from pydantic import BaseModel, Field +from langchain_openai import ChatOpenAI +from langchain_core.prompts import ChatPromptTemplate +from agent.state import AgentState +from agent.config import settings +from agent.langfuse_client import langfuse_client + +# A single piece of enriched context added to the query +class ContextEntry(BaseModel): + term: str = Field( + description="The exact term or phrase from the user query that is being enriched." + ) + context: str = Field( + description=( + "Additional context, resolved meaning, or clarification for the term. " + "Examples: resolving an abbreviation ('MDA' → 'Magen David Adom'), " + "a relative date ('last quarter' → 'Q1 2025, Jan 1 - Mar 31 2025'), " + "or a geographic clarification ('Jordan' → 'country in the Middle East, not a person name')." + ) + ) + + +# The enriched output produced by the extractor phase +class ExtractorOutput(BaseModel): + enrichments: List[ContextEntry] = Field( + default_factory=list, + description=( + "Context entries that enrich the user query with additional information. " + "Only include entries where extra context genuinely helps downstream processing. " + "If the query is fully clear and self-contained, return an empty list." + ) + ) + +class BaseExtractor(abc.ABC): + @abc.abstractmethod + def extract(self, query: str) -> List[ContextEntry]: + pass + +class LLMExtractor(BaseExtractor): + def __init__(self): + self.llm = ChatOpenAI(model=settings.LLM_MODEL, base_url=settings.LLM_BASE_URL, api_key=settings.LLM_API_KEY, temperature=0) + + langfuse_prompt = langfuse_client.get_prompt(settings.LANGFUSE_PROMPT_EXTRACTOR) + self.prompt = ChatPromptTemplate.from_messages(langfuse_prompt.get_langchain_prompt()) + + self.chain = self.prompt | self.llm.with_structured_output(ExtractorOutput, method="json_schema") + + def extract(self, query: str) -> List[ContextEntry]: + try: + data = self.chain.invoke({"user_query": query}) + return data.enrichments + except Exception as e: + print(f"Structured output parsing failed in LLMExtractor: {e}") + return [] + +class TimeExtractor(BaseExtractor): + def extract(self, query: str) -> List[ContextEntry]: + enrichments = [] + now = datetime.datetime.now() + # Always anchor current time + enrichments.append(ContextEntry( + term="current_time", + context=f"The current time is {now.isoformat()}" + )) + + # TODO: add relative time values handling + + return enrichments + +class HTTPExtractor(BaseExtractor): + def __init__(self, url: str, name: str): + self.url = url + self.name = name + + def extract(self, query: str) -> List[ContextEntry]: + try: + res = requests.post(self.url, json={"query": query}, timeout=50) + res.raise_for_status() + data = res.json() + return [ContextEntry(**item) for item in data.get("enrichments", [])] + except Exception as e: + print(f"HTTPExtractor ({self.name} at {self.url}) failed: {e}") + return [] + +def extractor_node(state: AgentState): + """Enrich the user query with additional context to help downstream phases.""" + user_query = state["user_query"] + active_extractors = state.get("active_extractors") or [] + + import concurrent.futures + + extractors: List[BaseExtractor] = [ + TimeExtractor(), + LLMExtractor() + ] + + for ext_info in active_extractors: + extractors.append(HTTPExtractor(ext_info["url"], ext_info["name"])) + + all_enrichments = [] + + with concurrent.futures.ThreadPoolExecutor() as executor: + futures = {executor.submit(ext.extract, user_query): ext for ext in extractors} + for future in concurrent.futures.as_completed(futures): + try: + entries = future.result() + all_enrichments.extend([e.model_dump() for e in entries]) + except Exception as e: + ext = futures[future] + print(f"Extractor {type(ext).__name__} failed: {e}") + + return {"query_enrichments": all_enrichments} diff --git a/agent/src/agent/nodes/finalizer.py b/agent/src/agent/nodes/finalizer.py new file mode 100644 index 0000000..0c30660 --- /dev/null +++ b/agent/src/agent/nodes/finalizer.py @@ -0,0 +1,83 @@ +import json +import asyncio +from agent.state import AgentState +from langchain_openai import ChatOpenAI +from langchain_core.prompts import ChatPromptTemplate +from esca_sdk import EscaClient +from agent.config import settings +from agent.langfuse_client import langfuse_client + +llm = ChatOpenAI(model=settings.LLM_MODEL, base_url=settings.LLM_BASE_URL, api_key=settings.LLM_API_KEY, temperature=0) + +# Prompts will be loaded dynamically from Langfuse inside the node execution + +async def get_esca_preview(esca_id: str, limit: int = 5) -> str: + """Load data from Esca and return a preview of the columns and the first few rows.""" + if not esca_id: + return "No data reference found." + + client = EscaClient(api_key=settings.ESCA_API_KEY, base_url=settings.ESCA_URL) + try: + # TODO: instead of fetching everything from esca and then chunk, get only the chunk + data_bytes = await client.load_head(esca_id) + data = json.loads(data_bytes.decode()) + + columns = data.get("columns", []) + rows = data.get("rows", []) + total_rows = len(rows) + + # Take a slice of the rows to avoid context overload + preview_rows = rows[:limit] + + preview_info = { + "columns": columns, + "preview_rows": preview_rows, + "preview_count": len(preview_rows), + "total_rows": total_rows + } + return json.dumps(preview_info, indent=2) + except Exception as e: + return f"Error retrieving data preview from Esca: {e}" + finally: + await client.close() + +async def get_sql_explanation(sql_query: str | None) -> str: + """Ask LLM to explain the SQL query in natural language.""" + if not sql_query: + return "No SQL query was generated." + + langfuse_prompt = langfuse_client.get_prompt(settings.LANGFUSE_PROMPT_FINALIZER_SQL_EXPLANATION) + prompt_sql_explanation = ChatPromptTemplate.from_messages(langfuse_prompt.get_langchain_prompt()) + + chain = prompt_sql_explanation | llm + response = await chain.ainvoke({"sql_query": sql_query}) + return response.content + +async def finalizer_node(state: AgentState): + """Summarize data.""" + raw_data_ref = state.get("raw_data_ref") + preview_str = "" + if raw_data_ref: + preview_str = await get_esca_preview(raw_data_ref) + + langfuse_prompt_summary = langfuse_client.get_prompt(settings.LANGFUSE_PROMPT_FINALIZER_SUMMARY) + prompt_summary = ChatPromptTemplate.from_messages(langfuse_prompt_summary.get_langchain_prompt()) + + summary_chain = prompt_summary | llm + + summary_task = summary_chain.ainvoke({ + "user_query": state["user_query"], + "sql_query": state.get("sql_query") or "", + "raw_data_ref": raw_data_ref, + "data_preview": preview_str + }) + + sql_task = get_sql_explanation(state.get("sql_query")) + + summary_response, sql_explanation = await asyncio.gather(summary_task, sql_task) + + return { + "summary": summary_response.content, + "sql_explanation": sql_explanation + } + diff --git a/agent/src/agent/nodes/query_builder.py b/agent/src/agent/nodes/query_builder.py new file mode 100644 index 0000000..9919c76 --- /dev/null +++ b/agent/src/agent/nodes/query_builder.py @@ -0,0 +1,45 @@ +from agent.state import AgentState +from langchain_openai import ChatOpenAI +from langchain_core.prompts import ChatPromptTemplate +from agent.config import settings +from agent.langfuse_client import langfuse_client +from langgraph.types import interrupt + +llm = ChatOpenAI(model=settings.LLM_MODEL, base_url=settings.LLM_BASE_URL, api_key=settings.LLM_API_KEY, temperature=0) + +def query_builder_node(state: AgentState): + """Build SQL from plan and pause for user approval.""" + feedback = state.get("feedback") + feedback_str = f"\nUser Feedback to apply: {feedback}" if feedback else "" + + langfuse_prompt = langfuse_client.get_prompt(settings.LANGFUSE_PROMPT_QUERY_BUILDER) + prompt = ChatPromptTemplate.from_messages(langfuse_prompt.get_langchain_prompt()) + chain = prompt | llm + response = chain.invoke({ + "schema_plan": state.get("schema_plan"), + "user_query": state["user_query"], + "feedback_str": feedback_str + }) + sql = response.content.replace('```sql', '').replace('```', '').strip() + if sql.endswith(';'): + sql = sql[:-1].strip() + + if state.get("non_interactive"): + return {"sql_query": sql, "refinement_count": 0, "trino_error": None, "feedback": None} + + approval_result = interrupt({ + "type": "query_approval", + "schema_plan": state.get("schema_plan"), + "sql_query": sql + }) + + if approval_result.get("approved"): + return {"sql_query": sql, "refinement_count": 0, "trino_error": None, "feedback": None} + else: + return { + "feedback": approval_result.get("feedback", "Query rejected by user"), + "sql_query": None + } + + + diff --git a/agent/src/agent/nodes/refiner.py b/agent/src/agent/nodes/refiner.py new file mode 100644 index 0000000..041923c --- /dev/null +++ b/agent/src/agent/nodes/refiner.py @@ -0,0 +1,52 @@ +import json +import uuid +from agent.state import AgentState +from langchain_openai import ChatOpenAI +from langchain_core.prompts import ChatPromptTemplate +from core import execute_query_sync +from esca_sdk import EscaClient +from agent.config import settings +from agent.langfuse_client import langfuse_client + +llm = ChatOpenAI(model=settings.LLM_MODEL, base_url=settings.LLM_BASE_URL, api_key=settings.LLM_API_KEY, temperature=0) + +MAX_REFINER_ITERATIONS = 3 + +async def refiner_node(state: AgentState): + """Refine SQL against Trino.""" + sql = state.get("sql_query") + count = state.get("refinement_count", 0) + + # Execute against Trino + result = execute_query_sync(sql) + + if not result.success: + trino_error = result.error_message or "Unknown Trino error" + # If we reached the refinement limit, just stop and don't prompt LLM + if count >= MAX_REFINER_ITERATIONS: + return {"trino_error": trino_error, "refinement_count": count + 1} + + langfuse_prompt = langfuse_client.get_prompt(settings.LANGFUSE_PROMPT_REFINER) + prompt = ChatPromptTemplate.from_messages(langfuse_prompt.get_langchain_prompt()) + chain = prompt | llm + response = await chain.ainvoke({"sql": sql, "error": trino_error}) + new_sql = response.content.replace('```sql', '').replace('```', '').strip() + if new_sql.endswith(';'): + new_sql = new_sql[:-1].strip() + return {"sql_query": new_sql, "trino_error": trino_error, "refinement_count": count + 1} + else: + # Success, save payload via Esca + client = EscaClient(api_key=settings.ESCA_API_KEY, base_url=settings.ESCA_URL) + payload_data = { + "columns": result.columns, + "rows": result.rows + } + payload = json.dumps(payload_data).encode() + try: + res = await client.save_data(payload) + raw_ref = res.get("esca_id") + finally: + await client.close() + + return {"trino_error": None, "raw_data_ref": raw_ref} + diff --git a/agent/src/agent/nodes/schema_explorer.py b/agent/src/agent/nodes/schema_explorer.py new file mode 100644 index 0000000..ff180f3 --- /dev/null +++ b/agent/src/agent/nodes/schema_explorer.py @@ -0,0 +1,316 @@ +from langgraph.types import interrupt +import json +import urllib.request +from typing import Any, List, Optional +from pydantic import BaseModel, Field +from esca_sdk import EscaClient + +from agent.state import AgentState +from langchain_openai import ChatOpenAI +from langchain_core.prompts import ChatPromptTemplate +from langchain_core.messages import HumanMessage, AIMessage, ToolMessage +from langchain_core.tools import tool +from sqlalchemy import text +from core.db.engine import engine +from core.models.models import Table, TableProfile, ColumnProfile, EnrichmentVersion +from sqlmodel import Session, select +from agent.config import settings +from agent.langfuse_client import langfuse_client + +# Initialize LLM +llm = ChatOpenAI(model=settings.LLM_MODEL, base_url=settings.LLM_BASE_URL, api_key=settings.LLM_API_KEY, temperature=0) + +# Define standardized Schema Explorer Output Type +class SchemaExplorerOutput(BaseModel): + schema_plan: Optional[Any] = Field( + default=None, + description="Detailed query plan describing tables, columns, and joins." + ) + ambiguity_detected: bool = Field( + default=False, + description="Set to true if there is table selection ambiguity." + ) + ambiguity_message: str = Field( + default="", + description="A question to ask the user to clarify/select the right table(s). Must be empty if ambiguity_detected is false." + ) + candidate_options: List[str] = Field( + default_factory=list, + description="List of strings (table names or options) for the user to choose from. Must be empty if ambiguity_detected is false." + ) + +def get_query_embedding(text: str) -> list[float]: + """Generate 768-dimensional embedding from nomic-embed-text.""" + # TODO: support secret + url = f"{settings.EMBEDDER_URL}/api/embeddings" + data = json.dumps({"model": settings.EMBEDDER_MODEL, "prompt": text}).encode() + req = urllib.request.Request(url, data=data, headers={"Content-Type": "application/json"}) + try: + with urllib.request.urlopen(req) as res: + return json.loads(res.read().decode())["embedding"] + except Exception as e: + print(f"Error getting query embedding: {e}") + return [0.0] * 768 + +def hybrid_search_tables(query: str, query_embedding: list[float], session: Session, allowed_tables: list[str] | None = None) -> list[Table]: + """Hybrid search combining pgvector cosine distance and keyword matching.""" + # 1. Get all allowed tables + stmt_all = select(Table) + all_tables = session.exec(stmt_all).all() + + allowed = allowed_tables or [] + allowed_tables_set = [] + allowed_ids = set() + for table in all_tables: + is_allowed = ( + table.status == "production" or + (allowed and ( + table.id in allowed or + table.name in allowed or + f"{table.schema_name}.{table.name}" in allowed + )) + ) + if is_allowed: + allowed_tables_set.append(table) + allowed_ids.add(table.id) + + # 2. Vector Search + if allowed_ids: + stmt = text(""" + SELECT id FROM tables + WHERE id = ANY(:allowed_ids) + ORDER BY embedding <=> :emb + LIMIT :limit + """) + try: + vec_ids = [row[0] for row in session.execute(stmt, {"emb": str(query_embedding), "allowed_ids": list(allowed_ids), "limit": settings.HYBRID_SEARCH_MAX_TABLES}).fetchall()] + except Exception as e: + print(f"Vector search failed: {e}") + vec_ids = [] + else: + vec_ids = [] + + # 3. Keyword Search + keyword_matches = [] + query_words = query.lower().split() + for table in allowed_tables_set: + enrichment = session.exec( + select(EnrichmentVersion) + .where(EnrichmentVersion.table_id == table.id) + .order_by(EnrichmentVersion.version.desc()) + ).first() + + desc = enrichment.data.get("table_description", "") if enrichment and enrichment.data else "" + + score = 0 + for word in query_words: + if word in table.name.lower(): + score += 10 + if word in table.schema_name.lower(): + score += 5 + if word in desc.lower(): + score += 2 + + if score > 0: + keyword_matches.append((table.id, score)) + + keyword_matches.sort(key=lambda x: x[1], reverse=True) + kw_ids = [x[0] for x in keyword_matches[:settings.HYBRID_SEARCH_MAX_TABLES]] + + # 4. Combine and limit to settings.HYBRID_SEARCH_MAX_TABLES tables + combined_ids = list(dict.fromkeys(vec_ids + kw_ids))[:settings.HYBRID_SEARCH_MAX_TABLES] + + result_tables = [] + for tid in combined_ids: + t = session.get(Table, tid) + if t: + result_tables.append(t) + return result_tables + +# Define Tools +@tool +def search_tables(query: str) -> str: + """Search for tables in the catalog using keywords or semantic query. Returns the top relevant tables.""" + emb = get_query_embedding(query) + with Session(engine) as session: + tables = hybrid_search_tables(query, emb, session) + if not tables: + return "No tables found matching query." + + results = [] + for t in tables: + enrichment = session.exec( + select(EnrichmentVersion) + .where(EnrichmentVersion.table_id == t.id) + .order_by(EnrichmentVersion.version.desc()) + ).first() + desc = enrichment.data.get("table_description", "") if enrichment and enrichment.data else "" + results.append({ + "id": t.id, + "name": f"{t.schema_name}.{t.name}", + "catalog": t.catalog, + "description": desc + }) + return json.dumps(results, indent=2) + +@tool +async def get_table_profile(table_id: str) -> str: + """Get the lightweight column names/types for a table, and the Esca reference ID for the full profiling statistics. Use this before planning a query.""" + with Session(engine) as session: + table = session.get(Table, table_id) + if not table: + return json.dumps({"error": f"Table ID {table_id} not found."}) + + profile = session.exec( + select(TableProfile) + .where(TableProfile.table_id == table_id, TableProfile.status == "completed") + .order_by(TableProfile.created_at.desc()) + ).first() + + if not profile: + return json.dumps({"error": f"No completed profile found for Table ID {table_id}. Make sure to trigger profiling first."}) + + columns = session.exec( + select(ColumnProfile).where(ColumnProfile.profile_id == profile.id) + ).all() + + # Heavy data to pass by reference to Esca + profile_data = { + "table_id": table_id, + "table_name": f"{table.catalog}.{table.schema_name}.{table.name}", + "catalog": table.catalog, + "schema": table.schema_name, + "row_count": profile.row_count, + "sample_data": profile.sample_data, + "auto_insights": profile.auto_insights, + "profile_json": profile.profile_json, + "columns": [ + { + "name": cp.column_name, + "type": cp.data_type, + "null_rate": cp.null_rate, + "distinct_count": cp.distinct_count, + "top_values": cp.top_values + } + for cp in columns + ] + } + + # Save heavy data in Esca + esca_payload = json.dumps(profile_data).encode() + + client = EscaClient(api_key=settings.ESCA_API_KEY, base_url=settings.ESCA_URL) + try: + res = await client.save_data(esca_payload) + esca_id = res.get("esca_id") + except Exception as e: + esca_id = None + # TODO: handle error + finally: + await client.close() + + # Return only lightweight metadata to LLM + return json.dumps({ + "table_id": table_id, + "table_name": f"{table.catalog}.{table.schema_name}.{table.name}", + "row_count": profile.row_count, + "columns": [ + {"name": cp.column_name, "type": cp.data_type} + for cp in columns + ], + "esca_reference_id": esca_id + }, indent=2) + +async def schema_explorer_node(state: AgentState): + """RAG Schema Explorer sub-agent node, pausing for table selection if ambiguous.""" + user_query = state["user_query"] + enrichments = state.get("query_enrichments", []) + allowed_tables = state.get("allowed_tables") + feedback = state.get("feedback") + + # 1. Automatically run hybrid search to find candidates + emb = get_query_embedding(user_query) + with Session(engine) as session: + candidate_tables = hybrid_search_tables(user_query, emb, session, allowed_tables) + + tables_info = [] + profile_details = [] + + # 2. Automatically get profiles for the top candidate tables (up to 4) to seed the prompt + for i, t in enumerate(candidate_tables): + tables_info.append({ + "id": t.id, + "name": f"{t.catalog}.{t.schema_name}.{t.name}", + "description": "" + }) + + # Fetch profile for the top tables based on MAX_PROFILES_TO_FETCH + if i < settings.MAX_PROFILES_TO_FETCH: + try: + profile_res = await get_table_profile.ainvoke({"table_id": t.id}) + profile_details.append(json.loads(profile_res)) + except Exception as e: + print(f"Error fetching profile for {t.name}: {e}") + + # TODO: Make more dynamic - allow LLM to search other tables if the first pass is not enough + # TODO: Support multi-turn conversation + # TODO: Support async simultanious profile fetching for top K tables + + # 3. Present all metadata to the LLM to construct a query plan + langfuse_prompt = langfuse_client.get_prompt(settings.LANGFUSE_PROMPT_SCHEMA_EXPLORER) + prompt = ChatPromptTemplate.from_messages(langfuse_prompt.get_langchain_prompt()) + + human_message = f"Question: {user_query}\nQuery Enrichments (extra context for ambiguous terms): {json.dumps(enrichments)}" + if feedback: + human_message += f"\nUser Feedback on previous plan/query: {feedback}" + + structured_llm = llm.with_structured_output(SchemaExplorerOutput, method="json_schema") + chain = prompt | structured_llm + + try: + data = await chain.ainvoke({ + "tables_json": json.dumps(tables_info, indent=2), + "profiles_json": json.dumps(profile_details, indent=2), + "human_message": human_message + }) + except Exception as e: + print(f"Structured output parsing failed in schema explorer: {e}") + data = SchemaExplorerOutput( + schema_plan=None, + ambiguity_detected=False, + ambiguity_message="", + candidate_options=[] + ) + + if data.ambiguity_detected and data.ambiguity_message and not state.get("non_interactive"): + user_choice = interrupt({ + "type": "schema_explorer_ambiguity", + "message": data.ambiguity_message, + "options": data.candidate_options + }) + + clarified_message = f"{human_message}\nSelected table/option: {user_choice}" + try: + data = await chain.ainvoke({ + "tables_json": json.dumps(tables_info, indent=2), + "profiles_json": json.dumps(profile_details, indent=2), + "human_message": clarified_message + }) + except Exception as e: + print(f"Structured output parsing failed in schema explorer after clarification: {e}") + data = SchemaExplorerOutput( + schema_plan=None, + ambiguity_detected=False, + ambiguity_message="", + candidate_options=[] + ) + + plan = data.schema_plan + if plan is not None and not isinstance(plan, str): + plan = json.dumps(plan) + elif plan is None: + plan = "" + + return {"schema_plan": plan} + + diff --git a/agent/src/agent/routers/__init__.py b/agent/src/agent/routers/__init__.py new file mode 100644 index 0000000..a6131c1 --- /dev/null +++ b/agent/src/agent/routers/__init__.py @@ -0,0 +1 @@ +# init diff --git a/agent/src/agent/routers/chat.py b/agent/src/agent/routers/chat.py new file mode 100644 index 0000000..ecff2dc --- /dev/null +++ b/agent/src/agent/routers/chat.py @@ -0,0 +1,148 @@ +import os +import uuid +from typing import Any +from fastapi import APIRouter, Depends, HTTPException +from pydantic import BaseModel +from agent.graph import agent_graph +from python_core_utils.rate_limiting import RateLimiter +from langfuse.langchain import CallbackHandler +from agent.config import settings +from sqlmodel import Session, select +from core.db.engine import engine +from core.models.models import Table, HttpExtractor, ExtractorStatus +from langgraph.types import Command + +# Set the environment variables for Langfuse from the validated Pydantic settings config +os.environ["LANGFUSE_PUBLIC_KEY"] = settings.LANGFUSE_PUBLIC_KEY +os.environ["LANGFUSE_SECRET_KEY"] = settings.LANGFUSE_SECRET_KEY +os.environ["LANGFUSE_HOST"] = settings.LANGFUSE_BASE_URL + +# Initialize Langfuse handler +langfuse_handler = CallbackHandler() + +router = APIRouter(prefix="/api/v1/agent", tags=["agent"]) + +class QueryApproval(BaseModel): + approved: bool + feedback: str | None = None + +class ChatRequest(BaseModel): + query: str | None = None + thread_id: str | None = None + resume_value: str | QueryApproval | None = None + allowed_tables: list[str] | None = None + extractors: list[str] | None = None + + +class ChatResponse(BaseModel): + thread_id: str + status: str # "completed", "interrupted" + interrupt_details: dict | None = None + summary: str | None = None + raw_data_ref: str | None = None + sql_query: str | None = None + sql_explanation: str | None = None + schema_plan: str | None = None + + +@router.post( + "/chat", + response_model=ChatResponse, + dependencies=[Depends(RateLimiter(requests=10, window=60, fail_open=False))] +) +async def chat_endpoint(request: ChatRequest): + thread_id = request.thread_id or str(uuid.uuid4()) + config = { + "configurable": {"thread_id": thread_id}, + "callbacks": [langfuse_handler] + } + + if request.resume_value is not None: + state_snapshot = await agent_graph.aget_state(config) + if not state_snapshot.values: + raise HTTPException( + status_code=404, + detail=f"Thread ID '{thread_id}' not found or has no active session." + ) + + resume_val = request.resume_value + if isinstance(resume_val, QueryApproval): + resume_val = resume_val.model_dump() + + result = await agent_graph.ainvoke( + Command(resume=resume_val), + config=config + ) + else: + if not request.query: + raise HTTPException( + status_code=400, + detail="Query is required for new chat session." + ) + + if request.allowed_tables: + with Session(engine) as session: + all_tables = session.exec(select(Table)).all() + for allowed in request.allowed_tables: + exists = False + for t in all_tables: + if (t.id == allowed or + t.name == allowed or + f"{t.schema_name}.{t.name}" == allowed): + exists = True + break + if not exists: + raise HTTPException( + status_code=400, + detail=f"Table '{allowed}' does not exist." + ) + + active_extractors = [] + with Session(engine) as session: + if request.extractors: + for ext_name_or_id in request.extractors: + ext = session.exec(select(HttpExtractor).where( + (HttpExtractor.id == ext_name_or_id) | (HttpExtractor.name == ext_name_or_id) + )).first() + if not ext: + raise HTTPException( + status_code=400, + detail=f"Extractor '{ext_name_or_id}' does not exist." + ) + active_extractors.append({"name": ext.name, "url": ext.url}) + else: + prod_extractors = session.exec(select(HttpExtractor).where(HttpExtractor.status == ExtractorStatus.production)).all() + for ext in prod_extractors: + active_extractors.append({"name": ext.name, "url": ext.url}) + + result = await agent_graph.ainvoke( + { + "user_query": request.query, + "allowed_tables": request.allowed_tables, + "active_extractors": active_extractors + }, + config=config + ) + + final_state = await agent_graph.aget_state(config) + if final_state.interrupts: + interrupt_val = final_state.interrupts[-1].value + return ChatResponse( + thread_id=thread_id, + status="interrupted", + interrupt_details=interrupt_val, + schema_plan=final_state.values.get("schema_plan"), + sql_query=final_state.values.get("sql_query") + ) + + return ChatResponse( + thread_id=thread_id, + status="completed", + summary=result.get("summary", ""), + raw_data_ref=result.get("raw_data_ref"), + sql_query=result.get("sql_query"), + sql_explanation=result.get("sql_explanation"), + schema_plan=result.get("schema_plan") + ) + + diff --git a/agent/src/agent/state.py b/agent/src/agent/state.py new file mode 100644 index 0000000..7b69d21 --- /dev/null +++ b/agent/src/agent/state.py @@ -0,0 +1,22 @@ +import operator +from typing import Annotated, TypedDict, Any +from langchain_core.messages import BaseMessage +from langgraph.graph.message import add_messages + +class AgentState(TypedDict): + user_query: str + messages: Annotated[list[BaseMessage], add_messages] + query_enrichments: list[dict[str, Any]] + schema_plan: str + sql_query: str + trino_error: str | None + refinement_count: int + raw_data_ref: str | None + summary: str + sql_explanation: str + allowed_tables: list[str] | None + feedback: str | None + feedback_route: str | None + non_interactive: bool | None + active_extractors: list[dict[str, str]] | None + diff --git a/backend/app/models/__init__.py b/agent/tests/__init__.py similarity index 100% rename from backend/app/models/__init__.py rename to agent/tests/__init__.py diff --git a/agent/tests/test_extractor.py b/agent/tests/test_extractor.py new file mode 100644 index 0000000..9be4b65 --- /dev/null +++ b/agent/tests/test_extractor.py @@ -0,0 +1,100 @@ +import datetime +import pytest +from unittest.mock import patch, MagicMock + +from agent.nodes.extractor import ( + TimeExtractor, + HTTPExtractor, + ContextEntry, + extractor_node +) + +def test_time_extractor(): + extractor = TimeExtractor() + # Mock datetime.now + with patch("agent.nodes.extractor.datetime") as mock_datetime: + fixed_now = datetime.datetime(2025, 1, 1, 12, 0, 0) + mock_datetime.datetime.now.return_value = fixed_now + mock_datetime.timedelta = datetime.timedelta + + entries = extractor.extract("what happened today?") + + # Should have only the current time anchor + assert len(entries) == 1 + assert entries[0].term == "current_time" + assert "2025-01-01T12:00:00" in entries[0].context + +@patch("agent.nodes.extractor.requests.post") +def test_http_extractor_success(mock_post): + extractor = HTTPExtractor("http://test-url", "test-extractor") + + # Mock the response + mock_response = MagicMock() + mock_response.json.return_value = { + "enrichments": [ + {"term": "test", "context": "test context"} + ] + } + mock_post.return_value = mock_response + + entries = extractor.extract("test query") + + assert len(entries) == 1 + assert entries[0].term == "test" + assert entries[0].context == "test context" + mock_post.assert_called_once_with("http://test-url", json={"query": "test query"}, timeout=50) + +@patch("agent.nodes.extractor.requests.post") +def test_http_extractor_failure(mock_post): + extractor = HTTPExtractor("http://test-url", "test-extractor") + mock_post.side_effect = Exception("Connection error") + + entries = extractor.extract("test query") + + assert len(entries) == 0 + mock_post.assert_called_once() + +@patch("agent.nodes.extractor.TimeExtractor") +@patch("agent.nodes.extractor.LLMExtractor") +@patch("agent.nodes.extractor.HTTPExtractor") +def test_extractor_node(MockHTTPExtractor, MockLLMExtractor, MockTimeExtractor): + # Setup mocks + mock_time_ext = MagicMock() + mock_time_ext.extract.return_value = [ContextEntry(term="time", context="time context")] + MockTimeExtractor.return_value = mock_time_ext + + mock_llm_ext = MagicMock() + mock_llm_ext.extract.return_value = [ContextEntry(term="llm", context="llm context")] + MockLLMExtractor.return_value = mock_llm_ext + + mock_http_ext = MagicMock() + mock_http_ext.extract.return_value = [ContextEntry(term="http", context="http context")] + MockHTTPExtractor.return_value = mock_http_ext + + state = { + "user_query": "test query", + "active_extractors": [{"name": "test-http", "url": "http://test-url"}], + # Provide default values for other AgentState fields just in case + "messages": [], + "query_enrichments": [], + "schema_plan": "", + "sql_query": "", + "trino_error": None, + "refinement_count": 0, + "raw_data_ref": None, + "summary": "", + "sql_explanation": "", + "allowed_tables": None, + "feedback": None, + "feedback_route": None, + "non_interactive": None + } + + result = extractor_node(state) + + enrichments = result.get("query_enrichments", []) + assert len(enrichments) == 3 + terms = [e["term"] for e in enrichments] + assert "time" in terms + 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a/backend/.env.example +++ b/backend/.env.example @@ -5,6 +5,10 @@ LANGFUSE_HOST=https://cloud.langfuse.com CORS_ORIGINS=["http://localhost:5173"] APP_ENV=development +# Embedder config +EMBEDDER_URL=http://host.docker.internal:11434/api/embeddings +EMBEDDER_MODEL=nomic-embed-text:latest + # Trino connection TRINO_HOST=localhost TRINO_PORT=8080 diff --git a/backend/Dockerfile b/backend/Dockerfile index 41ed4ce..7c954c8 100644 --- a/backend/Dockerfile +++ b/backend/Dockerfile @@ -1,19 +1,27 @@ FROM python:3.12-slim -# Install uv +# Install uv, git and openssh-client COPY --from=ghcr.io/astral-sh/uv:latest /uv /usr/local/bin/uv +RUN apt-get update && apt-get install -y git openssh-client && rm -rf /var/lib/apt/lists/* + +# Configure git to use ssh for github.com +RUN git config --global url."git@github.com:".insteadOf "https://github.com/" WORKDIR /app -# Install dependencies using uv.lock and pyproject.toml -COPY pyproject.toml uv.lock ./ -RUN uv sync --no-dev --no-install-project +# Copy workspace dependencies +COPY core /app/core +COPY backend /app/backend + +WORKDIR /app/backend -COPY app ./app -COPY alembic ./alembic -COPY alembic.ini . +# Mount SSH deploy key secret and sync dependencies +RUN --mount=type=secret,id=deploy_key,target=/root/.ssh/id_rsa,mode=0600 \ + mkdir -p -m 0700 /root/.ssh && \ + ssh-keyscan github.com >> /root/.ssh/known_hosts && \ + uv sync --no-dev --no-install-project # Add virtualenv bin to PATH to run uvicorn -ENV PATH="/app/.venv/bin:$PATH" +ENV PATH="/app/backend/.venv/bin:$PATH" CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000"] diff --git a/backend/alembic/env.py b/backend/alembic/env.py index 2a0d99e..4e146b2 100644 --- a/backend/alembic/env.py +++ b/backend/alembic/env.py @@ -18,7 +18,7 @@ from sqlmodel import SQLModel from app.config import settings -from app.models.models import * # Import all models so SQLModel.metadata is populated +from core.models.models import * # Import all models so SQLModel.metadata is populated target_metadata = SQLModel.metadata diff --git a/backend/alembic/versions/781457ead87d_add_httpextractor.py b/backend/alembic/versions/781457ead87d_add_httpextractor.py new file mode 100644 index 0000000..ffa73bb --- /dev/null +++ b/backend/alembic/versions/781457ead87d_add_httpextractor.py @@ -0,0 +1,47 @@ +"""Add HttpExtractor + +Revision ID: 781457ead87d +Revises: e738b4f2c9c2 +Create Date: 2026-06-08 07:51:49.535461 + +""" +from typing import Sequence, Union + +from alembic import op +import sqlalchemy as sa +from sqlalchemy.dialects import postgresql +import sqlmodel + +# revision identifiers, used by Alembic. +revision: str = '781457ead87d' +down_revision: Union[str, None] = 'e738b4f2c9c2' +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.create_table('http_extractors', + sa.Column('id', sqlmodel.sql.sqltypes.AutoString(), nullable=False), + sa.Column('name', sqlmodel.sql.sqltypes.AutoString(), nullable=False), + sa.Column('url', sqlmodel.sql.sqltypes.AutoString(), nullable=False), + sa.Column('description', sqlmodel.sql.sqltypes.AutoString(), nullable=True), + sa.Column('created_at', sa.DateTime(), nullable=False), + sa.Column('updated_at', sa.DateTime(), nullable=False), + sa.PrimaryKeyConstraint('id') + ) + op.create_index(op.f('ix_http_extractors_name'), 'http_extractors', ['name'], unique=True) + op.alter_column('eval_runs', 'table_id', + existing_type=sa.VARCHAR(), + nullable=False) + # ### end Alembic commands ### + + +def downgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.alter_column('eval_runs', 'table_id', + existing_type=sa.VARCHAR(), + nullable=True) + op.drop_index(op.f('ix_http_extractors_name'), table_name='http_extractors') + op.drop_table('http_extractors') + # ### end Alembic commands ### diff --git a/backend/alembic/versions/aeb0e2695517_add_status_to_httpextractor.py b/backend/alembic/versions/aeb0e2695517_add_status_to_httpextractor.py new file mode 100644 index 0000000..85a3b76 --- /dev/null +++ b/backend/alembic/versions/aeb0e2695517_add_status_to_httpextractor.py @@ -0,0 +1,33 @@ +"""Add status to HttpExtractor + +Revision ID: aeb0e2695517 +Revises: 781457ead87d +Create Date: 2026-06-08 13:10:35.703108 + +""" +from typing import Sequence, Union + +from alembic import op +import sqlalchemy as sa +from sqlalchemy.dialects import postgresql +import sqlmodel + +# revision identifiers, used by Alembic. +revision: str = 'aeb0e2695517' +down_revision: Union[str, None] = '781457ead87d' +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.execute("CREATE TYPE extractorstatus AS ENUM ('draft', 'sandbox', 'verified', 'production', 'degraded')") + op.add_column('http_extractors', sa.Column('status', postgresql.ENUM('draft', 'sandbox', 'verified', 'production', 'degraded', name='extractorstatus', create_type=False), server_default='draft', nullable=False)) + # ### end Alembic commands ### + + +def downgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.drop_column('http_extractors', 'status') + op.execute("DROP TYPE extractorstatus") + # ### end Alembic commands ### diff --git a/backend/alembic/versions/e738b4f2c9c2_add_table_embedding.py b/backend/alembic/versions/e738b4f2c9c2_add_table_embedding.py new file mode 100644 index 0000000..0fc09c6 --- /dev/null +++ b/backend/alembic/versions/e738b4f2c9c2_add_table_embedding.py @@ -0,0 +1,32 @@ +"""Add Table embedding column + +Revision ID: e738b4f2c9c2 +Revises: d35412e44b34 +Create Date: 2026-06-01 17:58:00.000000 + +""" + +from collections.abc import Sequence + +import sqlalchemy as sa +import sqlmodel +import pgvector + +from alembic import op + +# revision identifiers, used by Alembic. +revision: str = "e738b4f2c9c2" +down_revision: str | None = "d35412e44b34" +branch_labels: str | Sequence[str] | None = None +depends_on: str | Sequence[str] | None = None + + +def upgrade() -> None: + # Enable vector extension + op.execute("CREATE EXTENSION IF NOT EXISTS vector") + # Add embedding column to tables table + op.add_column("tables", sa.Column("embedding", pgvector.sqlalchemy.Vector(768), nullable=True)) + + +def downgrade() -> None: + op.drop_column("tables", "embedding") diff --git a/backend/alembic/versions/f4d69a17d156_add_organization_and_sso_fields.py b/backend/alembic/versions/f4d69a17d156_add_organization_and_sso_fields.py new file mode 100644 index 0000000..0c2b068 --- /dev/null +++ b/backend/alembic/versions/f4d69a17d156_add_organization_and_sso_fields.py @@ -0,0 +1,90 @@ +"""Add Organization and SSO fields + +Revision ID: f4d69a17d156 +Revises: d35412e44b34 +Create Date: 2026-06-09 14:35:40.420571 + +""" +from typing import Sequence, Union + +from alembic import op +import sqlalchemy as sa +import sqlmodel +from sqlalchemy.dialects import postgresql + +# revision identifiers, used by Alembic. +revision: str = 'f4d69a17d156' +down_revision: Union[str, None] = 'aeb0e2695517' +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.create_table('organizations', + sa.Column('id', sqlmodel.sql.sqltypes.AutoString(), nullable=False), + sa.Column('name', sqlmodel.sql.sqltypes.AutoString(), nullable=False), + sa.Column('created_at', sa.DateTime(), nullable=False), + sa.PrimaryKeyConstraint('id'), + schema='security' + ) + op.create_index(op.f('ix_security_organizations_name'), 'organizations', ['name'], unique=True, schema='security') + op.add_column('users', sa.Column('sso_id', sqlmodel.sql.sqltypes.AutoString(), nullable=True), schema='security') + op.add_column('users', sa.Column('provider', sqlmodel.sql.sqltypes.AutoString(), nullable=True), schema='security') + op.create_index(op.f('ix_security_users_sso_id'), 'users', ['sso_id'], unique=False, schema='security') + op.create_table('organization_members', + sa.Column('user_id', sqlmodel.sql.sqltypes.AutoString(), nullable=False), + sa.Column('organization_id', sqlmodel.sql.sqltypes.AutoString(), nullable=False), + sa.ForeignKeyConstraint(['organization_id'], ['security.organizations.id'], ), + sa.ForeignKeyConstraint(['user_id'], ['security.users.id'], ), + sa.PrimaryKeyConstraint('user_id', 'organization_id'), + schema='security' + ) + + # Conditional drops to handle clean DB sequence vs dirty state safely + bind = op.get_bind() + inspector = sa.inspect(bind) + tables = inspector.get_table_names() + + if 'admins' in tables: + indexes = [i['name'] for i in inspector.get_indexes('admins')] + if 'ix_admins_username' in indexes: + op.drop_index('ix_admins_username', table_name='admins') + op.drop_table('admins') + # ### end Alembic commands ### + + +def downgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + bind = op.get_bind() + inspector = sa.inspect(bind) + tables = inspector.get_table_names() + + if 'admins' not in tables: + op.create_table('admins', + sa.Column('id', sa.VARCHAR(), autoincrement=False, nullable=False), + sa.Column('username', sa.VARCHAR(), autoincrement=False, nullable=False), + sa.Column('hashed_password', sa.VARCHAR(), autoincrement=False, nullable=False), + sa.Column('created_at', postgresql.TIMESTAMP(), autoincrement=False, nullable=False), + sa.PrimaryKeyConstraint('id', name='admins_pkey') + ) + op.create_index('ix_admins_username', 'admins', ['username'], unique=True) + + # Clean security tables + security_tables = inspector.get_table_names(schema='security') + if 'organization_members' in security_tables: + op.drop_table('organization_members', schema='security') + + if 'users' in security_tables: + columns_users = [c['name'] for c in inspector.get_columns('users', schema='security')] + if 'provider' in columns_users: + op.drop_column('users', 'provider', schema='security') + if 'sso_id' in columns_users: + op.drop_column('users', 'sso_id', schema='security') + + if 'organizations' in security_tables: + indexes_org = [i['name'] for i in inspector.get_indexes('organizations', schema='security')] + if 'ix_security_organizations_name' in indexes_org: + op.drop_index(op.f('ix_security_organizations_name'), table_name='organizations', schema='security') + op.drop_table('organizations', schema='security') + # ### end Alembic commands ### diff --git a/backend/app/api/auth.py b/backend/app/api/auth.py new file mode 100644 index 0000000..88aa947 --- /dev/null +++ b/backend/app/api/auth.py @@ -0,0 +1,32 @@ +from fastapi import APIRouter, Request, Depends +from sqlmodel import Session + +from python_core_utils.auth import create_sso_router +from app.config import auth_settings +from core.db.engine import engine +from app.core.auth import sync_user_from_payload, get_current_user +from core.models.models import AuthConfigRead, SecurityUserRead + +router = APIRouter() + +async def on_login_success(request: Request, userinfo: dict, provider: str): + # Synchronize user details with the database + with Session(engine) as db: + user = sync_user_from_payload(db, userinfo, provider) + request.session["user_id"] = user.id + +# Create the SSO router from core-utils +sso_router = create_sso_router(auth_settings, on_login_success=on_login_success) +router.include_router(sso_router) + +@router.get("/config", response_model=AuthConfigRead) +def get_auth_config(): + return { + "ENABLE_KEYCLOAK": auth_settings.ENABLE_KEYCLOAK, + "ENABLE_GOOGLE": auth_settings.ENABLE_GOOGLE, + } + +@router.get("/me", response_model=SecurityUserRead) +def get_me(user = Depends(get_current_user)): + return user + diff --git a/backend/app/config.py b/backend/app/config.py index ba5144d..b79d6ac 100644 --- a/backend/app/config.py +++ b/backend/app/config.py @@ -1,4 +1,8 @@ from pydantic_settings import BaseSettings, SettingsConfigDict +from python_core_utils.auth.config import SSOSettings + +class AuthSettings(SSOSettings): + pass class Settings(BaseSettings): @@ -8,7 +12,7 @@ class Settings(BaseSettings): LANGFUSE_PUBLIC_KEY: str = "" LANGFUSE_SECRET_KEY: str = "" LANGFUSE_HOST: str = "https://cloud.langfuse.com" - CORS_ORIGINS: list[str] = ["http://localhost:5173"] + CORS_ORIGINS: list[str] = ["http://localhost:3000", "http://localhost:8080", "http://host.docker.internal:5173"] OPENMETADATA_TOKEN: str = "" @@ -48,5 +52,10 @@ class Settings(BaseSettings): JWT_ALGORITHM: str = "HS256" JWT_EXPIRE_HOURS: int = 8 + # Embedder Config + EMBEDDER_URL: str = "http://host.docker.internal:11434/api/embeddings" + EMBEDDER_MODEL: str = "nomic-embed-text:latest" + settings = Settings() +auth_settings = AuthSettings() diff --git a/backend/app/core/auth.py b/backend/app/core/auth.py new file mode 100644 index 0000000..8a7a196 --- /dev/null +++ b/backend/app/core/auth.py @@ -0,0 +1,81 @@ +from fastapi import Request, HTTPException, Depends, status +from sqlmodel import Session, select +from core.db.engine import get_session +from core.models.models import SecurityUser, Organization + +def sync_user_from_payload(db: Session, payload: dict, provider: str) -> SecurityUser: + email = payload.get("email") + sub = payload.get("sub") + preferred_name = payload.get("preferred_username") or payload.get("name") + name = preferred_name or (email.split("@")[0] if email else sub) + + sso_id = sub + + if not email and not sso_id: + raise ValueError("Invalid user payload") + + user = None + if sso_id: + user = db.exec(select(SecurityUser).where(SecurityUser.sso_id == sso_id)).first() + + if not user and email: + user = db.exec(select(SecurityUser).where(SecurityUser.email == email)).first() + + if not user: + user = SecurityUser( + email=email, + name=name, + sso_id=sso_id, + provider=provider + ) + db.add(user) + else: + user.name = name + user.sso_id = sso_id + user.provider = provider + db.add(user) + + # Handle SSO groups mapping + groups = payload.get("groups", []) + if groups: + cleaned_groups = [g.lstrip('/') for g in groups] + user_org_ids = {org.id for org in user.organizations} + + for group_name in cleaned_groups: + org = db.exec(select(Organization).where(Organization.name == group_name)).first() + if not org: + org = Organization(name=group_name) + db.add(org) + db.flush() # flush to get id + + if org.id not in user_org_ids: + user.organizations.append(org) + user_org_ids.add(org.id) + + db.commit() + db.refresh(user) + return user + +def get_current_user(request: Request, db: Session = Depends(get_session)) -> SecurityUser: + user_id = request.session.get("user_id") + if not user_id: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail="Not authenticated", + ) + + user = db.get(SecurityUser, user_id) + if not user or not user.is_active: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail="User not found or inactive", + ) + return user + +def check_admin(current_user: SecurityUser = Depends(get_current_user)) -> SecurityUser: + if not current_user.is_admin: + raise HTTPException( + status_code=status.HTTP_403_FORBIDDEN, + detail="Administrative privileges required" + ) + return current_user diff --git a/backend/app/db/engine.py b/backend/app/db/engine.py deleted file mode 100644 index 8b9db19..0000000 --- a/backend/app/db/engine.py +++ /dev/null @@ -1,23 +0,0 @@ -import os - -from alembic.config import Config -from sqlmodel import Session, create_engine - -from alembic import command -from app.config import settings - -connect_args = {"check_same_thread": False} if "sqlite" in settings.DATABASE_URL else {} -engine = create_engine(settings.DATABASE_URL, echo=False, connect_args=connect_args) - - -def create_db_and_tables(): - """Run Alembic migrations to update the database schema.""" - # Path to alembic.ini - alembic_cfg = Config(os.path.join(os.path.dirname(__file__), "../../alembic.ini")) - # Run the migrations - command.upgrade(alembic_cfg, "head") - - -def get_session(): - with Session(engine) as session: - yield session diff --git a/backend/app/infra_init.py b/backend/app/infra_init.py index f7e46c9..1d5cced 100644 --- a/backend/app/infra_init.py +++ b/backend/app/infra_init.py @@ -8,6 +8,8 @@ 2. Trino — create minio catalog schemas & tables (IF NOT EXISTS) 3. Trino — seed sample rows (only when table is empty) 4. OpenMetadata — register local_trino service / database / schemas / tables + 5. Airlines — register Snowflake/airlines tables in the backend DB and + trigger a profiling job for each (idempotent). All steps are fully idempotent. Running this multiple times is safe. """ @@ -41,6 +43,23 @@ _TRINO_READY_RETRIES = 20 _TRINO_READY_INTERVAL = 5 # seconds between retries +# ── Airlines Snowflake catalog ───────────────────────────────────────────────── +# System owner used for infrastructure-seeded tables +_SYSTEM_OWNER_ID = "system" + +# Each entry maps to one Table row in the backend DB. +# Add new Snowflake databases/schemas here to include them in auto-profiling. +_AIRLINES_TABLES: list[dict[str, str]] = [ + {"name": "aircrafts_data", "schema_name": "airlines", "catalog": "airlines"}, + {"name": "airports_data", "schema_name": "airlines", "catalog": "airlines"}, + {"name": "boarding_passes", "schema_name": "airlines", "catalog": "airlines"}, + {"name": "bookings", "schema_name": "airlines", "catalog": "airlines"}, + {"name": "flights", "schema_name": "airlines", "catalog": "airlines"}, + {"name": "seats", "schema_name": "airlines", "catalog": "airlines"}, + {"name": "ticket_flights", "schema_name": "airlines", "catalog": "airlines"}, + {"name": "tickets", "schema_name": "airlines", "catalog": "airlines"}, +] + # ───────────────────────────────────────────────────────────────────────────── # DDL — Schemas, Tables, Seed data @@ -86,7 +105,32 @@ ('ORD-002','Bob Levi','bob@example.com','Mouse',2,25.0,50.0,'shipped',DATE '2024-01-12'), ('ORD-003','Carol Mizrahi','carol@example.com','Keyboard',1,75.0,75.0,'pending',DATE '2024-01-14'), ('ORD-004','Dan Shapiro','dan@example.com','Monitor',2,350.0,700.0,'delivered',DATE '2024-01-15'), - ('ORD-005','Eve Katz','eve@example.com','Headphones',1,90.0,90.0,'cancelled',DATE '2024-01-16')""", + ('ORD-005','Eve Katz','eve@example.com','Headphones',1,90.0,90.0,'cancelled',DATE '2024-01-16'), + ('ORD-006','Frank Green','frank@example.com','Laptop',1,1200.0,1200.0,'delivered',DATE '2024-01-18'), + ('ORD-007','Grace Hopper','grace@example.com','Smartphone',1,800.0,800.0,'shipped',DATE '2024-01-20'), + ('ORD-008','Henry Ford','henry@example.com','Tablet',2,400.0,800.0,'delivered',DATE '2024-01-22'), + ('ORD-009','Ivy League','ivy@example.com','Charger',3,30.0,90.0,'delivered',DATE '2024-01-25'), + ('ORD-010','Jack Sparrow','jack@example.com','Smart Watch',1,250.0,250.0,'pending',DATE '2024-01-28'), + ('ORD-011','Kate Middleton','kate@example.com','Headphones',1,90.0,90.0,'delivered',DATE '2024-02-01'), + ('ORD-012','Leo Tolstoy','leo@example.com','Mouse',2,25.0,50.0,'delivered',DATE '2024-02-03'), + ('ORD-013','Mary Shelley','mary@example.com','Keyboard',1,75.0,75.0,'shipped',DATE '2024-02-05'), + ('ORD-014','Nathan Drake','nathan@example.com','Monitor',1,350.0,350.0,'cancelled',DATE '2024-02-08'), + ('ORD-015','Olivia Wilde','olivia@example.com','Office Chair',1,200.0,200.0,'delivered',DATE '2024-02-10'), + ('ORD-016','Peter Parker','peter@example.com','Desk Lamp',2,45.0,90.0,'delivered',DATE '2024-02-12'), + ('ORD-017','Quentin Tarantino','quentin@example.com','Laptop',1,1200.0,1200.0,'pending',DATE '2024-02-15'), + ('ORD-018','Rachel Green','rachel@example.com','Smartphone',1,800.0,800.0,'delivered',DATE '2024-02-18'), + ('ORD-019','Steve Jobs','steve@example.com','Tablet',1,400.0,400.0,'delivered',DATE '2024-02-20'), + ('ORD-020','Tina Turner','tina@example.com','Smart Watch',2,250.0,500.0,'shipped',DATE '2024-02-22'), + ('ORD-021','Uma Thurman','uma@example.com','Charger',1,30.0,30.0,'delivered',DATE '2024-02-25'), + ('ORD-022','Victor Hugo','victor@example.com','Headphones',2,90.0,180.0,'delivered',DATE '2024-03-01'), + ('ORD-023','Wendy Darling','wendy@example.com','Mouse',4,25.0,100.0,'pending',DATE '2024-03-03'), + ('ORD-024','Xavier Charles','xavier@example.com','Keyboard',1,75.0,75.0,'delivered',DATE '2024-03-05'), + ('ORD-025','Yasmine Bleeth','yasmine@example.com','Monitor',2,350.0,700.0,'delivered',DATE '2024-03-08'), + ('ORD-026','Zachary Taylor','zach@example.com','Office Chair',1,200.0,200.0,'delivered',DATE '2024-03-10'), + ('ORD-027','Alice Cohen','alice@example.com','Desk Lamp',1,45.0,45.0,'delivered',DATE '2024-03-12'), + ('ORD-028','Bob Levi','bob@example.com','Laptop',1,1200.0,1200.0,'shipped',DATE '2024-03-15'), + ('ORD-029','Carol Mizrahi','carol@example.com','Smartphone',1,800.0,800.0,'delivered',DATE '2024-03-18'), + ('ORD-030','Dan Shapiro','dan@example.com','Tablet',1,400.0,400.0,'delivered',DATE '2024-03-20')""" }, # ── complex_retail ───────────────────────────────────────────────────── { @@ -106,7 +150,29 @@ "seed_sql": """INSERT INTO minio.complex_retail.customers VALUES ('C01','Alice','Cohen','alice@example.com','Israel','Tel Aviv',TIMESTAMP '2023-06-01 10:00:00'), ('C02','Bob','Levi','bob@example.com','Israel','Jerusalem',TIMESTAMP '2023-06-05 11:00:00'), - ('C03','Carol','Mizrahi','carol@example.com','Israel','Haifa',TIMESTAMP '2023-07-01 09:00:00')""", + ('C03','Carol','Mizrahi','carol@example.com','Israel','Haifa',TIMESTAMP '2023-07-01 09:00:00'), + ('C04','Dan','Shapiro','dan@example.com','Israel','Tel Aviv',TIMESTAMP '2023-07-15 14:30:00'), + ('C05','Eve','Katz','eve@example.com','Israel','Eilat',TIMESTAMP '2023-08-01 16:00:00'), + ('C06','Frank','Green','frank@example.com','USA','New York',TIMESTAMP '2023-08-10 08:15:00'), + ('C07','Grace','Hopper','grace@example.com','USA','San Francisco',TIMESTAMP '2023-08-20 12:45:00'), + ('C08','Henry','Ford','henry@example.com','USA','Detroit',TIMESTAMP '2023-09-01 10:30:00'), + ('C09','Ivy','League','ivy@example.com','UK','London',TIMESTAMP '2023-09-12 11:00:00'), + ('C10','Jack','Sparrow','jack@example.com','UK','Bristol',TIMESTAMP '2023-09-25 15:20:00'), + ('C11','Kate','Middleton','kate@example.com','UK','London',TIMESTAMP '2023-10-01 09:00:00'), + ('C12','Leo','Tolstoy','leo@example.com','Russia','Moscow',TIMESTAMP '2023-10-10 14:00:00'), + ('C13','Mary','Shelley','mary@example.com','UK','London',TIMESTAMP '2023-10-22 17:30:00'), + ('C14','Nathan','Drake','nathan@example.com','USA','Boston',TIMESTAMP '2023-11-05 11:15:00'), + ('C15','Olivia','Wilde','olivia@example.com','USA','Los Angeles',TIMESTAMP '2023-11-12 13:00:00'), + ('C16','Peter','Parker','peter@example.com','USA','New York',TIMESTAMP '2023-11-18 16:45:00'), + ('C17','Quentin','Tarantino','quentin@example.com','USA','Los Angeles',TIMESTAMP '2023-11-28 10:00:00'), + ('C18','Rachel','Green','rachel@example.com','USA','New York',TIMESTAMP '2023-12-05 12:00:00'), + ('C19','Steve','Jobs','steve@example.com','USA','San Jose',TIMESTAMP '2023-12-12 09:30:00'), + ('C20','Tina','Turner','tina@example.com','France','Paris',TIMESTAMP '2023-12-18 14:00:00'), + ('C21','Uma','Thurman','uma@example.com','France','Nice',TIMESTAMP '2023-12-25 11:30:00'), + ('C22','Victor','Hugo','victor@example.com','France','Paris',TIMESTAMP '2024-01-02 10:00:00'), + ('C23','Wendy','Darling','wendy@example.com','Canada','Toronto',TIMESTAMP '2024-01-10 15:45:00'), + ('C24','Xavier','Charles','xavier@example.com','Canada','Vancouver',TIMESTAMP '2024-01-15 09:00:00'), + ('C25','Yasmine','Bleeth','yasmine@example.com','USA','Miami',TIMESTAMP '2024-01-22 13:15:00')""" }, { "fqn": "minio.complex_retail.products", @@ -125,7 +191,18 @@ ('P01','Laptop','Electronics','Computers',1200.0,50), ('P02','Mouse','Electronics','Peripherals',25.0,200), ('P03','Keyboard','Electronics','Peripherals',75.0,150), - ('P04','Monitor','Electronics','Displays',350.0,80)""", + ('P04','Monitor','Electronics','Displays',350.0,80), + ('P05','Smartphone','Electronics','Phones',800.0,100), + ('P06','Tablet','Electronics','Computers',400.0,120), + ('P07','Smart Watch','Electronics','Wearables',250.0,90), + ('P08','Headphones','Electronics','Audio',90.0,150), + ('P09','Charger','Electronics','Accessories',30.0,300), + ('P10','Desk Lamp','Furniture','Lighting',45.0,60), + ('P11','Office Chair','Furniture','Seating',200.0,40), + ('P12','Standing Desk','Furniture','Tables',600.0,25), + ('P13','Notebook','Office Supplies','Paper',5.0,500), + ('P14','Gel Pens Pack','Office Supplies','Writing',12.0,400), + ('P15','Backpack','Office Supplies','Bags',80.0,100)""" }, { "fqn": "minio.complex_retail.orders", @@ -141,9 +218,46 @@ ) WITH (format = 'PARQUET', location = 's3://warehouse/complex_retail/orders/')""", "count_sql": "SELECT count(*) FROM minio.complex_retail.orders", "seed_sql": """INSERT INTO minio.complex_retail.orders VALUES - ('O01','C01',DATE '2024-01-10','delivered',1250.0,'Tel Aviv, 1 Main St'), - ('O02','C02',DATE '2024-01-12','shipped',50.0,'Jerusalem, 5 King St'), - ('O03','C03',DATE '2024-01-14','pending',350.0,'Haifa, 3 Port Rd')""", + ('O01','C01',DATE '2024-01-10','delivered',120.0,'Tel Aviv, 1 Main St'), + ('O02','C01',DATE '2024-01-11','delivered',80.0,'Tel Aviv, 1 Main St'), + ('O03','C01',DATE '2024-01-12','delivered',150.0,'Tel Aviv, 1 Main St'), + ('O04','C01',DATE '2024-01-13','delivered',200.0,'Tel Aviv, 1 Main St'), + ('O05','C01',DATE '2024-01-14','delivered',95.0,'Tel Aviv, 1 Main St'), + ('O06','C01',DATE '2024-01-15','delivered',300.0,'Tel Aviv, 1 Main St'), + ('O07','C01',DATE '2024-01-16','delivered',110.0,'Tel Aviv, 1 Main St'), + ('O08','C01',DATE '2024-01-17','delivered',45.0,'Tel Aviv, 1 Main St'), + ('O09','C01',DATE '2024-01-18','delivered',160.0,'Tel Aviv, 1 Main St'), + ('O10','C01',DATE '2024-01-19','delivered',220.0,'Tel Aviv, 1 Main St'), + ('O11','C02',DATE '2024-02-01','delivered',150.0,'Jerusalem, 5 King St'), + ('O12','C02',DATE '2024-02-02','delivered',70.0,'Jerusalem, 5 King St'), + ('O13','C02',DATE '2024-02-03','delivered',120.0,'Jerusalem, 5 King St'), + ('O14','C02',DATE '2024-02-04','delivered',85.0,'Jerusalem, 5 King St'), + ('O15','C02',DATE '2024-02-05','delivered',90.0,'Jerusalem, 5 King St'), + ('O16','C02',DATE '2024-02-06','delivered',210.0,'Jerusalem, 5 King St'), + ('O17','C03',DATE '2024-02-10','pending',350.0,'Haifa, 3 Port Rd'), + ('O18','C03',DATE '2024-02-11','delivered',100.0,'Haifa, 3 Port Rd'), + ('O19','C04',DATE '2024-02-12','delivered',1600.0,'Tel Aviv, 10 Rothschild Blvd'), + ('O20','C04',DATE '2024-02-13','delivered',400.0,'Tel Aviv, 10 Rothschild Blvd'), + ('O21','C06',DATE '2024-02-14','delivered',1280.0,'New York, 5th Ave 100'), + ('O22','C06',DATE '2024-02-15','delivered',50.0,'New York, 5th Ave 100'), + ('O23','C07',DATE '2024-02-16','shipped',800.0,'San Francisco, Market St 200'), + ('O24','C07',DATE '2024-02-17','delivered',90.0,'San Francisco, Market St 200'), + ('O25','C08',DATE '2024-02-18','delivered',800.0,'Detroit, Woodward Ave 300'), + ('O26','C08',DATE '2024-02-19','delivered',120.0,'Detroit, Woodward Ave 300'), + ('O27','C09',DATE '2024-02-20','delivered',90.0,'London, Baker St 221B'), + ('O28','C11',DATE '2024-02-21','delivered',90.0,'London, 10 Downing St'), + ('O29','C12',DATE '2024-02-22','delivered',50.0,'Moscow, Red Square 1'), + ('O30','C13',DATE '2024-02-23','shipped',75.0,'London, Abbey Rd 3'), + ('O31','C14',DATE '2024-02-24','cancelled',350.0,'Boston, Beacon St 45'), + ('O32','C16',DATE '2024-02-25','delivered',90.0,'New York, Broadway 1000'), + ('O33','C17',DATE '2024-02-26','pending',1200.0,'Los Angeles, Hollywood Blvd 700'), + ('O34','C18',DATE '2024-02-27','delivered',800.0,'New York, Central Park West 50'), + ('O35','C19',DATE '2024-02-28','delivered',400.0,'San Jose, Infinite Loop 1'), + ('O36','C21',DATE '2024-03-01','delivered',30.0,'Nice, Promenade des Anglais 5'), + ('O37','C22',DATE '2024-03-02','delivered',180.0,'Paris, Rue de Rivoli 20'), + ('O38','C23',DATE '2024-03-03','pending',100.0,'Toronto, Yonge St 100'), + ('O39','C24',DATE '2024-03-04','delivered',75.0,'Vancouver, Georgia St 50'), + ('O40','C09',DATE '2024-03-05','delivered',60.0,'London, Baker St 221B')""" }, { "fqn": "minio.complex_retail.order_items", @@ -162,7 +276,30 @@ ('I01','O01','P01',1,1200.0,0.0), ('I02','O01','P02',2,25.0,0.0), ('I03','O02','P02',2,25.0,0.0), - ('I04','O03','P04',1,350.0,0.0)""", + ('I04','O03','P04',1,350.0,0.0), + ('I05','O04','P05',2,800.0,0.0), + ('I06','O05','P07',1,250.0,0.0), + ('I07','O06','P01',1,1200.0,0.0), + ('I08','O06','P15',1,80.0,0.0), + ('I09','O07','P05',1,800.0,0.0), + ('I10','O08','P06',2,400.0,0.0), + ('I11','O09','P09',3,30.0,0.0), + ('I12','O10','P07',1,250.0,0.0), + ('I13','O11','P08',1,90.0,0.0), + ('I14','O12','P02',2,25.0,0.0), + ('I15','O13','P03',1,75.0,0.0), + ('I16','O14','P04',1,350.0,0.0), + ('I17','O15','P11',1,200.0,0.0), + ('I18','O16','P10',2,45.0,0.0), + ('I19','O17','P01',1,1200.0,0.0), + ('I20','O18','P05',1,800.0,0.0), + ('I21','O19','P06',1,400.0,0.0), + ('I22','O20','P07',2,250.0,0.0), + ('I23','O21','P09',1,30.0,0.0), + ('I24','O22','P08',2,90.0,0.0), + ('I25','O23','P02',4,25.0,0.0), + ('I26','O24','P03',1,75.0,0.0), + ('I27','O25','P04',2,350.0,0.0)""" }, ] @@ -472,13 +609,12 @@ def _wait_for_trino() -> None: logger.info("[InfraInit] Waiting for Trino minio catalog to become ready …") for attempt in range(1, _TRINO_READY_RETRIES + 1): try: - rows = _trino_exec("SHOW SCHEMAS FROM minio", ignore_errors=True) - if rows is not None: - logger.info( - "[InfraInit] Trino minio catalog ready after %d attempt(s) ✓", - attempt, - ) - return + _trino_exec("SHOW SCHEMAS FROM minio") + logger.info( + "[InfraInit] Trino minio catalog ready after %d attempt(s) ✓", + attempt, + ) + return except Exception as exc: logger.debug( "[InfraInit] Trino not ready (attempt %d/%d): %s", @@ -512,8 +648,31 @@ def _ensure_trino_schemas() -> None: raise +def _delete_minio_prefix(prefix: str) -> None: + """Idempotently delete all objects under a given prefix in the warehouse bucket.""" + logger.info("[InfraInit] Cleaning MinIO prefix '%s' …", prefix) + client = Minio( + _MINIO_HOST, + access_key=_MINIO_ACCESS_KEY, + secret_key=_MINIO_SECRET_KEY, + secure=False, + ) + try: + objects = client.list_objects(_WAREHOUSE_BUCKET, prefix=prefix, recursive=True) + obj_list = list(objects) + if obj_list: + for obj in obj_list: + client.remove_object(_WAREHOUSE_BUCKET, obj.object_name) + logger.info("[InfraInit] Cleaned MinIO prefix '%s' successfully", prefix) + else: + logger.info("[InfraInit] MinIO prefix '%s' is already empty", prefix) + except Exception as exc: + logger.warning("[InfraInit] Failed to clean MinIO prefix '%s': %s", prefix, exc) + + def _ensure_trino_tables() -> None: """Create all required Trino tables (IF NOT EXISTS — idempotent).""" + import re for table in _TABLES: try: _trino_exec(table["create_sql"]) @@ -524,6 +683,25 @@ def _ensure_trino_tables() -> None: logger.info( "[InfraInit] Trino table '%s' already exists — OK", table["fqn"] ) + elif "non-empty location" in err: + match = re.search(r"location\s*=\s*'s3://warehouse/([^']+)'", table["create_sql"], re.IGNORECASE) + if match: + prefix = match.group(1) + logger.info("[InfraInit] Non-empty location error for '%s'. Cleaning MinIO prefix '%s' and retrying...", table["fqn"], prefix) + _delete_minio_prefix(prefix) + try: + _trino_exec(table["create_sql"]) + logger.info("[InfraInit] Trino table '%s' ensured after cleanup ✓", table["fqn"]) + except Exception as retry_exc: + logger.error( + "[InfraInit] Failed to create table '%s' on retry: %s", table["fqn"], retry_exc + ) + raise retry_exc + else: + logger.error( + "[InfraInit] Failed to parse location prefix from SQL for '%s': %s", table["fqn"], exc + ) + raise else: logger.error( "[InfraInit] Failed to create table '%s': %s", table["fqn"], exc @@ -533,22 +711,18 @@ def _ensure_trino_tables() -> None: def _seed_trino_data() -> None: """ - Seed sample rows into empty tables. - - Only inserts when the table currently has 0 rows, making this safe - to re-run multiple times without duplicating data. + Seed sample rows into tables, clearing any existing data first to ensure + updated seeds are cleanly applied. """ for table in _TABLES: try: - rows = _trino_exec(table["count_sql"]) - count = rows[0][0] if rows else 0 - if count > 0: - logger.info( - "[InfraInit] Table '%s' has %d row(s) — skipping seed", - table["fqn"], - count, - ) - continue + # Clear existing data to apply updated seeds cleanly + try: + _trino_exec(f"DELETE FROM {table['fqn']}") + except Exception as e: + # If DELETE is not supported (e.g. some Iceberg configs require specific formats), we ignore and fall back to count checks + logger.debug("DELETE on %s failed: %s", table["fqn"], e) + _trino_exec(table["seed_sql"]) logger.info("[InfraInit] Seeded sample data into '%s' ✓", table["fqn"]) except Exception as exc: @@ -787,6 +961,232 @@ def _ensure_om_table( ) +def _verify_custom_catalogs() -> None: + """ + Detect all non-default catalogs loaded in Trino (excluding system, minio, tpch) + and verify their connectivity by running SHOW SCHEMAS. + """ + logger.info("[InfraInit] Scanning Trino for custom Snowflake/external catalogs...") + try: + catalogs = _trino_exec("SHOW CATALOGS") + custom_catalogs = [] + for row in catalogs: + name = row[0] + if name not in ("system", "minio", "tpch"): + custom_catalogs.append(name) + + if not custom_catalogs: + logger.info("[InfraInit] No custom catalogs detected in Trino.") + return + + logger.info( + "[InfraInit] Found custom catalog(s): %s. Verifying connections...", + custom_catalogs, + ) + for catalog in custom_catalogs: + logger.info("[InfraInit] Verifying connection to catalog '%s'...", catalog) + schemas = _trino_exec(f"SHOW SCHEMAS FROM {catalog}") + logger.info( + "[InfraInit] Catalog '%s' connection verified successfully ✓ (%d schema(s) found: %s)", + catalog, + len(schemas), + [s[0] for s in schemas], + ) + except Exception as exc: + logger.error("[InfraInit] Verification of custom catalogs failed: %s", exc) + raise + + +def _ensure_airlines_registered() -> None: + """ + Idempotently register every table in _AIRLINES_TABLES into the backend DB + and trigger a profiling job (in a background thread) for any table that + has no completed profile yet. + + To add more Snowflake databases/schemas in the future, simply append entries + to the _AIRLINES_TABLES list at the top of this file. + """ + import threading + from datetime import datetime, timedelta + + from sqlmodel import Session, select + + from core.db.engine import engine + from core.models.models import ( + ColumnProfile, + ProfilingStatus, + Table, + TableProfile, + TableStatus, + ) + from app.services.profiling_engine import run_table_profiling + + logger.info("[InfraInit] Registering airlines Snowflake tables...") + + registered_ids: list[str] = [] + + with Session(engine) as session: + for tdef in _AIRLINES_TABLES: + # Check whether this table already exists in the DB + existing = session.exec( + select(Table).where( + Table.name == tdef["name"], + Table.schema_name == tdef["schema_name"], + Table.catalog == tdef["catalog"], + ) + ).first() + + if existing: + logger.info( + "[InfraInit] Table '%s.%s.%s' already registered (id=%s) — OK", + tdef["catalog"], tdef["schema_name"], tdef["name"], existing.id, + ) + registered_ids.append(existing.id) + else: + table = Table( + name=tdef["name"], + schema_name=tdef["schema_name"], + catalog=tdef["catalog"], + service="local_trino", + status=TableStatus.production, + owner_id=_SYSTEM_OWNER_ID, + oasis_source_id=f"airlines.{tdef['schema_name']}.{tdef['name']}", + ) + session.add(table) + session.flush() # generate the id + registered_ids.append(table.id) + logger.info( + "[InfraInit] Registered table '%s.%s.%s' (id=%s) ✓", + tdef["catalog"], tdef["schema_name"], tdef["name"], table.id, + ) + + session.commit() + + logger.info( + "[InfraInit] Airlines tables registered: %d total.", len(registered_ids) + ) + + def _run_profile(table_id: str, table_name: str, schema_name: str, catalog: str) -> None: + """Background worker: run profiling and persist results for one table.""" + try: + with Session(engine) as session: + # Create a pending profile record + profile = TableProfile( + table_id=table_id, + status=ProfilingStatus.running, + version=1, + ) + session.add(profile) + session.commit() + session.refresh(profile) + profile_id = profile.id + + # Run the profiling engine (outside the DB session to avoid long holds) + result = run_table_profiling( + table_id=table_id, + catalog=catalog, + schema=schema_name, + table=table_name, + version=1, + ) + + # Persist results + with Session(engine) as session: + profile = session.get(TableProfile, profile_id) + if not profile: + return + profile.status = ( + ProfilingStatus.completed if result.success else ProfilingStatus.failed + ) + profile.version = result.version + profile.row_count = result.row_count + profile.sample_size = result.sample_size + profile.column_count = result.column_count + profile.null_rate_avg = result.null_rate_avg + profile.auto_insights = result.auto_insights + profile.sample_data = result.sample_data + profile.profile_json = result.profile_json + profile.cached_until = datetime.utcnow() + timedelta(hours=24) + profile.updated_at = datetime.utcnow() + session.add(profile) + + for cs in result.column_stats: + cp = ColumnProfile( + table_id=table_id, + profile_id=profile_id, + column_name=cs.column_name, + data_type=cs.data_type, + null_count=cs.null_count, + null_rate=cs.null_rate, + distinct_count=cs.distinct_count, + min_value=cs.min_value, + max_value=cs.max_value, + avg_value=cs.avg_value, + median_value=cs.median_value, + top_values=cs.top_values, + is_categorical=cs.is_categorical, + is_geo=cs.is_geo, + is_time=cs.is_time, + semantic_type=cs.semantic_type, + stats_json=cs.stats_json, + ) + session.add(cp) + + session.commit() + + logger.info( + "[InfraInit] Profiling complete for '%s.%s.%s': %d cols, %s rows", + catalog, schema_name, table_name, + len(result.column_stats), + format(result.row_count or 0, ","), + ) + except Exception as exc: + logger.error( + "[InfraInit] Profiling failed for table %s: %s", table_id, exc + ) + + # Trigger profiling in background threads for tables without a completed profile + threads_started = 0 + with Session(engine) as session: + # Collect table metadata needed for profiling + table_meta: list[tuple[str, str, str, str]] = [] + for table_id in registered_ids: + completed = session.exec( + select(TableProfile).where( + TableProfile.table_id == table_id, + TableProfile.status == ProfilingStatus.completed, + ) + ).first() + if completed: + logger.info( + "[InfraInit] Table %s already has a completed profile — skipping.", + table_id, + ) + continue + + tbl = session.get(Table, table_id) + if tbl: + table_meta.append((table_id, tbl.name, tbl.schema_name, tbl.catalog)) + + for table_id, tname, sname, cat in table_meta: + t = threading.Thread( + target=_run_profile, + args=(table_id, tname, sname, cat), + daemon=True, + name=f"profile-{cat}.{sname}.{tname}", + ) + t.start() + threads_started += 1 + logger.info( + "[InfraInit] Started profiling thread for '%s.%s.%s' ✓", cat, sname, tname + ) + + logger.info( + "[InfraInit] Airlines profiling: %d background thread(s) started for %d table(s).", + threads_started, len(registered_ids), + ) + + # ───────────────────────────────────────────────────────────────────────────── # Entry point # ───────────────────────────────────────────────────────────────────────────── @@ -810,6 +1210,7 @@ def init_infrastructure() -> None: try: _ensure_iceberg_tables() _wait_for_trino() + _verify_custom_catalogs() _ensure_trino_schemas() _ensure_trino_tables() _seed_trino_data() @@ -825,6 +1226,14 @@ def init_infrastructure() -> None: "[InfraInit] OpenMetadata registration failed (non-fatal): %s", exc ) + try: + _ensure_airlines_registered() + except Exception as exc: + # Airlines registration failure is non-fatal + logger.warning( + "[InfraInit] Airlines table registration failed (non-fatal): %s", exc + ) + logger.info("[InfraInit] ═══════════════════════════════════════") logger.info("[InfraInit] Infrastructure initialization complete ✓") logger.info("[InfraInit] ═══════════════════════════════════════") diff --git a/backend/app/main.py b/backend/app/main.py index 5261ab2..33d4add 100644 --- a/backend/app/main.py +++ b/backend/app/main.py @@ -1,19 +1,22 @@ import logging +import sys import time from contextlib import asynccontextmanager -from fastapi import FastAPI, Request +from core.db.engine import create_db_and_tables, engine +from core.models.models import AuditQuery +from fastapi import APIRouter, FastAPI, Request, Depends from fastapi.middleware.cors import CORSMiddleware +from starlette.middleware.sessions import SessionMiddleware from sqlmodel import Session -from app.db.engine import create_db_and_tables, engine -from app.models.models import AuditQuery from app.routers import ( admin_approval, admin_auth, audit, enrichment, evaluation, + extractors, feedback, health, orchestration, @@ -23,8 +26,17 @@ scopes, tables, ) +from app.api import auth as auth_api +from app.core.auth import get_current_user +from app.config import settings, auth_settings from app.services.scheduler import start_scheduler, stop_scheduler +logging.basicConfig( + stream=sys.stdout, + level=logging.DEBUG, + format="%(asctime)s - %(name)s - %(levelname)s - %(message)s", + force=True, +) logger = logging.getLogger(__name__) @@ -49,10 +61,17 @@ async def lifespan(app: FastAPI): app.add_middleware( CORSMiddleware, - allow_origins=["*"], + allow_origins=settings.CORS_ORIGINS, + allow_credentials=True, allow_methods=["*"], allow_headers=["*"], ) +app.add_middleware( + SessionMiddleware, + secret_key=auth_settings.SESSION_SECRET_KEY, + session_cookie=auth_settings.SESSION_COOKIE_NAME, + max_age=auth_settings.SESSION_COOKIE_MAX_AGE, +) @app.middleware("http") @@ -62,16 +81,16 @@ async def audit_middleware(request: Request, call_next): process_time_ms = int((time.time() - start_time) * 1000) # Only log table-related routes to avoid spamming - if request.url.path.startswith("/tables") and request.method in [ + if request.url.path.startswith("/api/tables") and request.method in [ "POST", "PUT", "DELETE", "GET", ]: - # Extract table_id if present in path (e.g. /tables/{table_id}/...) + # Extract table_id if present in path (e.g. /api/tables/{table_id}/...) path_parts = request.url.path.split("/") table_id = ( - path_parts[2] if len(path_parts) > 2 and path_parts[2] != "eval" else None + path_parts[3] if len(path_parts) > 3 and path_parts[3] != "eval" else None ) # In a real app, user_id comes from auth token @@ -97,19 +116,32 @@ async def audit_middleware(request: Request, call_next): return response -app.include_router(tables.router) -app.include_router(enrichment.router) -app.include_router(questions.router) -app.include_router(evaluation.router) -app.include_router(orchestration.router) -app.include_router(publish.router) -app.include_router(scopes.router) -app.include_router(audit.router) -app.include_router(profiling.router) -app.include_router(feedback.router) -app.include_router(health.router) -app.include_router(admin_auth.router) -app.include_router(admin_approval.router) +api_router = APIRouter(prefix="/api") + +# Public endpoints +api_router.include_router(health.router) +api_router.include_router(admin_auth.router) +api_router.include_router(auth_api.router, prefix="/v1/auth", tags=["auth"]) + +# Private endpoints (SSO protected) +auth_deps = [Depends(get_current_user)] +private_router = APIRouter(dependencies=auth_deps) + +private_router.include_router(tables.router) +private_router.include_router(enrichment.router) +private_router.include_router(questions.router) +private_router.include_router(evaluation.router) +private_router.include_router(extractors.router) +private_router.include_router(orchestration.router) +private_router.include_router(publish.router) +private_router.include_router(scopes.router) +private_router.include_router(audit.router) +private_router.include_router(profiling.router) +private_router.include_router(feedback.router) +private_router.include_router(admin_approval.router) + +api_router.include_router(private_router) +app.include_router(api_router) @app.get("/health") diff --git a/backend/app/routers/admin_approval.py b/backend/app/routers/admin_approval.py index 4e6324f..0bc8a5e 100644 --- a/backend/app/routers/admin_approval.py +++ b/backend/app/routers/admin_approval.py @@ -5,8 +5,8 @@ from pydantic import BaseModel from sqlmodel import Session, desc, select -from app.db.engine import get_session -from app.models.models import ( +from core.db.engine import get_session +from core.models.models import ( EvalRun, EvalStatus, GoldenQuestion, @@ -16,6 +16,7 @@ ) from app.services.auth import require_admin from app.services.langfuse_client import langfuse_client +from app.core.auth import check_admin logger = logging.getLogger(__name__) @@ -28,12 +29,6 @@ class RejectionNote(BaseModel): note: str -def _get_admin_from_header( - x_admin_email: str = Header(..., alias="X-Admin-Email"), - session: Session = Depends(get_session), -) -> SecurityUser: - """Dependency: extracts the admin email from X-Admin-Email header and validates it.""" - return require_admin(x_admin_email, session) def _sync_questions_to_production_dataset(session: Session): @@ -113,7 +108,7 @@ def _sync_questions_to_production_dataset(session: Session): @router.get("/pending", response_model=list[dict]) def get_pending_tables( - current_admin: SecurityUser = Depends(_get_admin_from_header), + current_admin: SecurityUser = Depends(check_admin), session: Session = Depends(get_session), ): """Get all tables in 'verified' status (awaiting admin approval).""" @@ -156,7 +151,7 @@ def get_pending_tables( @router.post("/{table_id}/approve") def approve_table( table_id: str, - current_admin: SecurityUser = Depends(_get_admin_from_header), + current_admin: SecurityUser = Depends(check_admin), session: Session = Depends(get_session), ): """ @@ -199,7 +194,7 @@ def approve_table( def reject_table( table_id: str, rejection: RejectionNote, - current_admin: SecurityUser = Depends(_get_admin_from_header), + current_admin: SecurityUser = Depends(check_admin), session: Session = Depends(get_session), ): """ diff --git a/backend/app/routers/admin_auth.py b/backend/app/routers/admin_auth.py index 59114a9..b2e0673 100644 --- a/backend/app/routers/admin_auth.py +++ b/backend/app/routers/admin_auth.py @@ -2,8 +2,8 @@ from pydantic import BaseModel from sqlmodel import Session -from app.db.engine import get_session -from app.models.models import SecurityUserRead +from core.db.engine import get_session +from core.models.models import SecurityUserRead from app.services.auth import get_user_by_email router = APIRouter(prefix="/admin", tags=["admin_auth"]) diff --git a/backend/app/routers/audit.py b/backend/app/routers/audit.py index a6fb78c..72e2c14 100644 --- a/backend/app/routers/audit.py +++ b/backend/app/routers/audit.py @@ -1,8 +1,8 @@ from fastapi import APIRouter, Depends, Query from sqlmodel import Session, select -from app.db.engine import get_session -from app.models.models import AuditQuery, AuditQueryRead +from core.db.engine import get_session +from core.models.models import AuditQuery, AuditQueryRead router = APIRouter(prefix="/audit", tags=["audit"]) diff --git a/backend/app/routers/enrichment.py b/backend/app/routers/enrichment.py index 88cb59d..73cb37d 100644 --- a/backend/app/routers/enrichment.py +++ b/backend/app/routers/enrichment.py @@ -4,8 +4,8 @@ from fastapi import APIRouter, Depends, HTTPException from sqlmodel import Session, col, select -from app.db.engine import get_session -from app.models.models import ( +from core.db.engine import get_session +from core.models.models import ( EnrichmentCreate, EnrichmentRead, EnrichmentVersion, diff --git a/backend/app/routers/evaluation.py b/backend/app/routers/evaluation.py index b1cd9d3..9fb06b3 100644 --- a/backend/app/routers/evaluation.py +++ b/backend/app/routers/evaluation.py @@ -22,8 +22,8 @@ from langfuse.decorators import langfuse_context, observe from sqlmodel import Session, desc, select -from app.db.engine import engine, get_session -from app.models.models import ( +from core.db.engine import engine, get_session +from core.models.models import ( AlertSeverity, EnrichmentVersion, EvalResult, diff --git a/backend/app/routers/extractors.py b/backend/app/routers/extractors.py new file mode 100644 index 0000000..0e2793c --- /dev/null +++ b/backend/app/routers/extractors.py @@ -0,0 +1,49 @@ +import logging + +from core.db.engine import get_session +from core.models.models import HttpExtractor, HttpExtractorCreate, HttpExtractorRead +from fastapi import APIRouter, Depends, HTTPException +from sqlmodel import Session, select + +logger = logging.getLogger(__name__) + +router = APIRouter(prefix="/extractors", tags=["extractors"]) + +# TODO: make the edit/create/delete routes admin only + + +@router.get("", response_model=list[HttpExtractorRead]) +def list_extractors(session: Session = Depends(get_session)): + """List all registered HTTP extractors.""" + return session.exec(select(HttpExtractor)).all() + + +@router.post("", response_model=HttpExtractorRead, status_code=201) +def create_extractor( + payload: HttpExtractorCreate, session: Session = Depends(get_session) +): + """Register a new HTTP extractor.""" + # Check if name exists + existing = session.exec( + select(HttpExtractor).where(HttpExtractor.name == payload.name) + ).first() + if existing: + raise HTTPException( + status_code=400, detail="Extractor with this name already exists" + ) + + extractor = HttpExtractor(**payload.model_dump()) + session.add(extractor) + session.commit() + session.refresh(extractor) + return extractor + + +@router.delete("/{extractor_id}", status_code=204) +def delete_extractor(extractor_id: str, session: Session = Depends(get_session)): + """Delete an HTTP extractor by ID.""" + extractor = session.get(HttpExtractor, extractor_id) + if not extractor: + raise HTTPException(status_code=404, detail="Extractor not found") + session.delete(extractor) + session.commit() diff --git a/backend/app/routers/feedback.py b/backend/app/routers/feedback.py index 893b0fb..3ee1967 100644 --- a/backend/app/routers/feedback.py +++ b/backend/app/routers/feedback.py @@ -6,8 +6,8 @@ from fastapi import APIRouter, Depends, HTTPException from sqlmodel import Session, select -from app.db.engine import get_session -from app.models.models import ( +from core.db.engine import get_session +from core.models.models import ( AuditQuery, QueryFeedback, QueryFeedbackCreate, diff --git a/backend/app/routers/health.py b/backend/app/routers/health.py index d3561e2..02410f1 100644 --- a/backend/app/routers/health.py +++ b/backend/app/routers/health.py @@ -18,8 +18,8 @@ from fastapi import APIRouter, Depends, HTTPException from sqlmodel import Session, select -from app.db.engine import get_session -from app.models.models import ( +from core.db.engine import get_session +from core.models.models import ( EvalResult, EvalRun, EvalStatus, diff --git a/backend/app/routers/orchestration.py b/backend/app/routers/orchestration.py index a9a6d04..de09cbe 100644 --- a/backend/app/routers/orchestration.py +++ b/backend/app/routers/orchestration.py @@ -13,12 +13,8 @@ import random from datetime import datetime, timedelta -from fastapi import APIRouter, BackgroundTasks, Depends, HTTPException, Query -from langfuse.decorators import langfuse_context, observe -from sqlmodel import Session, select - -from app.db.engine import engine, get_session -from app.models.models import ( +from core.db.engine import engine, get_session +from core.models.models import ( AlertSeverity, EnrichmentVersion, EvalResult, @@ -35,6 +31,10 @@ GoldenQuestion, Table, ) +from fastapi import APIRouter, BackgroundTasks, Depends, HTTPException, Query +from langfuse.decorators import langfuse_context, observe +from sqlmodel import Session, select + from app.routers.evaluation import execute_single_table_eval from app.services.trino_client import execute_query_sync @@ -712,8 +712,17 @@ def system_health(session: Session = Depends(get_session)): latest_run = all_runs[0] if all_runs else None if all_runs: - global_score = round(sum(r.score for r in all_runs) / len(all_runs), 3) - global_pass_rate = round(sum(r.pass_rate for r in all_runs) / len(all_runs), 3) + valid_scores = [r.score for r in all_runs if r.score is not None] + global_score = ( + round(sum(valid_scores) / len(valid_scores), 3) if valid_scores else None + ) + + valid_pass_rates = [r.pass_rate for r in all_runs if r.pass_rate is not None] + global_pass_rate = ( + round(sum(valid_pass_rates) / len(valid_pass_rates), 3) + if valid_pass_rates + else None + ) else: global_score = None global_pass_rate = None @@ -721,17 +730,20 @@ def system_health(session: Session = Depends(get_session)): # Top failing tables (lowest avg score) table_scores: dict[str, list[float]] = {} for r in all_runs: - table_scores.setdefault(r.table_id, []).append(r.score) + if r.score is not None: + table_scores.setdefault(r.table_id, []).append(r.score) failing_tables = [] for tid, scores in table_scores.items(): avg = sum(scores) / len(scores) if avg < LOW_SCORE_THRESHOLD: - table = session.get(Table, tid) + table = session.get(Table, tid) if tid else None failing_tables.append( { "table_id": tid, - "table_name": table.name if table else tid[:8], + "table_name": table.name + if table + else (tid[:8] if tid else "Unknown"), "avg_score": round(avg, 3), "failure_rate": round(1 - avg, 3), } diff --git a/backend/app/routers/profiling.py b/backend/app/routers/profiling.py index 11eb154..8ce4cc9 100644 --- a/backend/app/routers/profiling.py +++ b/backend/app/routers/profiling.py @@ -13,8 +13,8 @@ from fastapi import APIRouter, BackgroundTasks, Depends, HTTPException from sqlmodel import Session, select -from app.db.engine import engine, get_session -from app.models.models import ( +from core.db.engine import engine, get_session +from core.models.models import ( ColumnProfile, ColumnProfileRead, CrossTableProfile, diff --git a/backend/app/routers/publish.py b/backend/app/routers/publish.py index 4f06ffd..772334a 100644 --- a/backend/app/routers/publish.py +++ b/backend/app/routers/publish.py @@ -12,8 +12,8 @@ from fastapi import APIRouter, BackgroundTasks, Depends, HTTPException from sqlmodel import Session, select -from app.db.engine import get_session -from app.models.models import ( +from core.db.engine import get_session +from core.models.models import ( EnrichmentVersion, EvalRun, EvalStatus, diff --git a/backend/app/routers/questions.py b/backend/app/routers/questions.py index 2284e55..29f5ade 100644 --- a/backend/app/routers/questions.py +++ b/backend/app/routers/questions.py @@ -5,8 +5,8 @@ from fastapi import APIRouter, Depends, File, HTTPException, UploadFile from sqlmodel import Session, select -from app.db.engine import get_session -from app.models.models import ( +from core.db.engine import get_session +from core.models.models import ( DifficultyLevel, GoldenQuestion, GoldenQuestionCreate, diff --git a/backend/app/routers/scopes.py b/backend/app/routers/scopes.py index a9919ca..257b6a4 100644 --- a/backend/app/routers/scopes.py +++ b/backend/app/routers/scopes.py @@ -1,8 +1,8 @@ from fastapi import APIRouter, Depends, HTTPException from sqlmodel import Session, select -from app.db.engine import get_session -from app.models.models import UserScope, UserScopeCreate, UserScopeRead +from core.db.engine import get_session +from core.models.models import UserScope, UserScopeCreate, UserScopeRead router = APIRouter(prefix="/scopes", tags=["scopes"]) diff --git a/backend/app/routers/tables.py b/backend/app/routers/tables.py index ca93443..efb1e8c 100644 --- a/backend/app/routers/tables.py +++ b/backend/app/routers/tables.py @@ -1,3 +1,4 @@ +import base64 import logging from datetime import datetime @@ -6,8 +7,8 @@ from sqlmodel import Session, col, select from app.config import settings -from app.db.engine import get_session -from app.models.models import ( +from core.db.engine import get_session +from core.models.models import ( EnrichmentVersion, ForeignKeyMapping, ForeignKeyMappingCreate, @@ -17,10 +18,55 @@ TableRead, TableStatus, UserScope, + GoldenQuestion, ) +from app.routers.evaluation import PRODUCTION_DATASET_NAME, _build_questions_payload +from app.services.langfuse_client import langfuse_client + logger = logging.getLogger(__name__) + +_cached_om_token: str | None = None + + +def get_om_token(force_refresh: bool = False) -> str: + global _cached_om_token + if _cached_om_token and not force_refresh: + return _cached_om_token + + try: + b64_password = base64.b64encode(b"admin").decode() + r = httpx.post( + f"{settings.OPENMETADATA_URL}/api/v1/users/login", + json={"email": "admin@open-metadata.org", "password": b64_password}, + timeout=10.0, + ) + r.raise_for_status() + token = r.json().get("accessToken") or r.json().get("token", "") + if token: + _cached_om_token = token + return token + except Exception as e: + logger.warning(f"Failed to dynamically log in to OpenMetadata: {e}") + + return settings.OPENMETADATA_TOKEN + + +def om_get_request(url: str) -> httpx.Response: + token = get_om_token() + headers = {"Authorization": f"Bearer {token}"} + response = httpx.get(url, headers=headers, timeout=10.0, verify=False) + + if response.status_code == 401: + logger.info("OpenMetadata request returned 401. Retrying with a refreshed token...") + token = get_om_token(force_refresh=True) + headers = {"Authorization": f"Bearer {token}"} + response = httpx.get(url, headers=headers, timeout=10.0, verify=False) + + return response + + router = APIRouter(prefix="/tables", tags=["tables"]) @@ -87,15 +133,19 @@ def create_table(payload: TableCreate, session: Session = Depends(get_session)): try: # Instead of sending oasis_source_id into the URL, send the FQN url = f"{settings.OPENMETADATA_URL}/api/v1/tables/name/{fqn}?fields=columns" - token = settings.OPENMETADATA_TOKEN - response = httpx.get( - url, - headers={"Authorization": f"Bearer {token}"}, - timeout=10.0, - verify=False, - ) + response = om_get_request(url) response.raise_for_status() data = response.json() + except httpx.HTTPStatusError as e: + if e.response.status_code == 404: + raise HTTPException( + status_code=404, + detail=f"Table '{fqn}' not found in metadata repository." + ) + raise HTTPException( + status_code=e.response.status_code, + detail=f"Failed to fetch table metadata: {e!s}" + ) except Exception as e: raise HTTPException( status_code=400, detail=f"Failed to fetch table metadata: {e!s}" @@ -182,15 +232,19 @@ def sync_table_schema(table_id: str, session: Session = Depends(get_session)): try: url = f"{settings.OPENMETADATA_URL}/api/v1/tables/name/{fqn}?fields=columns" - token = settings.OPENMETADATA_TOKEN - response = httpx.get( - url, - headers={"Authorization": f"Bearer {token}"}, - timeout=10.0, - verify=False, - ) + response = om_get_request(url) response.raise_for_status() data = response.json() + except httpx.HTTPStatusError as e: + if e.response.status_code == 404: + raise HTTPException( + status_code=404, + detail=f"Table '{fqn}' not found in metadata repository." + ) + raise HTTPException( + status_code=e.response.status_code, + detail=f"Failed to refetch table metadata: {e!s}" + ) except Exception as e: raise HTTPException( status_code=400, detail=f"Failed to refetch table metadata: {e!s}" @@ -286,9 +340,6 @@ def update_table_status( session.commit() session.refresh(table) - from app.models.models import GoldenQuestion - from app.routers.evaluation import PRODUCTION_DATASET_NAME, _build_questions_payload - from app.services.langfuse_client import langfuse_client # Handle transitions if status == TableStatus.production and previous_status != TableStatus.production: diff --git a/backend/app/seed.py b/backend/app/seed.py index 8dcc226..b2c91ac 100644 --- a/backend/app/seed.py +++ b/backend/app/seed.py @@ -1,7 +1,9 @@ +import urllib.request +import json from sqlmodel import Session, select -from app.db.engine import create_db_and_tables, engine -from app.models.models import ( +from core.db.engine import create_db_and_tables, engine +from core.models.models import ( DifficultyLevel, EnrichmentVersion, EvalResult, @@ -14,6 +16,18 @@ UserScope, ) +from app.config import settings + +def get_embedding(text: str) -> list[float]: + url = settings.EMBEDDER_URL + data = json.dumps({"model": settings.EMBEDDER_MODEL, "prompt": text}).encode() + req = urllib.request.Request(url, data=data, headers={"Content-Type": "application/json"}) + try: + with urllib.request.urlopen(req) as res: + return json.loads(res.read().decode())["embedding"] + except Exception as e: + print(f"Error getting embedding: {e}") + return [0.0] * 768 def seed(): # Run migrations to ensure all schemas and tables exist @@ -68,7 +82,26 @@ def seed(): service="local_trino", owner_id="user-2", ) - session.add_all([t1, t2, t3]) + t4 = Table( + name="products", + schema_name="complex_retail", + status=TableStatus.production, + oasis_source_id="4", + catalog="minio", + service="local_trino", + owner_id="user-1", + ) + t5 = Table( + name="orders", + schema_name="complex_retail", + status=TableStatus.production, + oasis_source_id="5", + catalog="minio", + service="local_trino", + owner_id="user-1", + ) + + session.add_all([t1, t2, t3, t4, t5]) session.flush() # 3. Enrichment @@ -81,69 +114,15 @@ def seed(): "Ideal for single-table queries." ), "columns": [ - { - "name": "order_id", - "description": "Unique order identifier", - "dataType": "VARCHAR", - "is_geo": False, - "is_time": False, - }, - { - "name": "customer_name", - "description": "Full name of the customer", - "dataType": "VARCHAR", - "is_geo": False, - "is_time": False, - }, - { - "name": "customer_email", - "description": "Customer email address", - "dataType": "VARCHAR", - "is_geo": False, - "is_time": False, - }, - { - "name": "product_name", - "description": "Name of the product ordered", - "dataType": "VARCHAR", - "is_geo": False, - "is_time": False, - }, - { - "name": "quantity", - "description": "Number of units ordered", - "dataType": "INT", - "is_geo": False, - "is_time": False, - }, - { - "name": "unit_price", - "description": "Price per unit (USD)", - "dataType": "DOUBLE", - "is_geo": False, - "is_time": False, - }, - { - "name": "total_amount", - "description": "Total order value (USD)", - "dataType": "DOUBLE", - "is_geo": False, - "is_time": False, - }, - { - "name": "status", - "description": "Order status", - "dataType": "VARCHAR", - "is_geo": False, - "is_time": False, - }, - { - "name": "order_date", - "description": "Date the order was placed", - "dataType": "DATE", - "is_geo": False, - "is_time": True, - }, + {"name": "order_id", "description": "Unique order identifier", "dataType": "VARCHAR"}, + {"name": "customer_name", "description": "Full name of the customer", "dataType": "VARCHAR"}, + {"name": "customer_email", "description": "Customer email address", "dataType": "VARCHAR"}, + {"name": "product_name", "description": "Name of the product ordered", "dataType": "VARCHAR"}, + {"name": "quantity", "description": "Number of units ordered", "dataType": "INT"}, + {"name": "unit_price", "description": "Price per unit (USD)", "dataType": "DOUBLE"}, + {"name": "total_amount", "description": "Total order value (USD)", "dataType": "DOUBLE"}, + {"name": "status", "description": "Order status", "dataType": "VARCHAR"}, + {"name": "order_date", "description": "Date the order was placed", "dataType": "DATE"}, ], }, ) @@ -153,59 +132,71 @@ def seed(): data={ "table_description": "Customer master table in the complex_retail schema.", "columns": [ - { - "name": "customer_id", - "description": "Unique customer ID", - "dataType": "VARCHAR", - "is_geo": False, - "is_time": False, - }, - { - "name": "first_name", - "description": "Customer first name", - "dataType": "VARCHAR", - "is_geo": False, - "is_time": False, - }, - { - "name": "last_name", - "description": "Customer last name", - "dataType": "VARCHAR", - "is_geo": False, - "is_time": False, - }, - { - "name": "email", - "description": "Customer email", - "dataType": "VARCHAR", - "is_geo": False, - "is_time": False, - }, - { - "name": "country", - "description": "Country", - "dataType": "VARCHAR", - "is_geo": False, - "is_time": False, - }, - { - "name": "city", - "description": "City", - "dataType": "VARCHAR", - "is_geo": False, - "is_time": False, - }, - { - "name": "created_at", - "description": "Account creation timestamp", - "dataType": "TIMESTAMP", - "is_geo": False, - "is_time": True, - }, + {"name": "customer_id", "description": "Unique customer ID", "dataType": "VARCHAR"}, + {"name": "first_name", "description": "Customer first name", "dataType": "VARCHAR"}, + {"name": "last_name", "description": "Customer last name", "dataType": "VARCHAR"}, + {"name": "email", "description": "Customer email", "dataType": "VARCHAR"}, + {"name": "country", "description": "Country", "dataType": "VARCHAR"}, + {"name": "city", "description": "City", "dataType": "VARCHAR"}, + {"name": "created_at", "description": "Account creation timestamp", "dataType": "TIMESTAMP"}, ], }, ) - session.add_all([e1, e2]) + e3 = EnrichmentVersion( + table_id=t4.id, + version=1, + data={ + "table_description": "Products master table in the complex_retail schema.", + "columns": [ + {"name": "product_id", "description": "Unique product ID", "dataType": "VARCHAR"}, + {"name": "name", "description": "Product name", "dataType": "VARCHAR"}, + {"name": "category", "description": "Category", "dataType": "VARCHAR"}, + {"name": "subcategory", "description": "Sub-category", "dataType": "VARCHAR"}, + {"name": "price", "description": "List price (USD)", "dataType": "DOUBLE"}, + {"name": "stock_quantity", "description": "Units in stock", "dataType": "INT"}, + ] + } + ) + e4 = EnrichmentVersion( + table_id=t5.id, + version=1, + data={ + "table_description": "Orders master table in the complex_retail schema.", + "columns": [ + {"name": "order_id", "description": "Unique order ID", "dataType": "VARCHAR"}, + {"name": "customer_id", "description": "FK to customers.customer_id", "dataType": "VARCHAR"}, + {"name": "order_date", "description": "Date placed", "dataType": "DATE"}, + {"name": "status", "description": "Order status", "dataType": "VARCHAR"}, + {"name": "total_amount", "description": "Total value (USD)", "dataType": "DOUBLE"}, + {"name": "shipping_address", "description": "Delivery address", "dataType": "VARCHAR"}, + ] + } + ) + e5 = EnrichmentVersion( + table_id=t3.id, + version=1, + data={ + "table_description": "Order items details table in complex_retail schema.", + "columns": [ + {"name": "item_id", "description": "Unique item ID", "dataType": "VARCHAR"}, + {"name": "order_id", "description": "FK to orders.order_id", "dataType": "VARCHAR"}, + {"name": "product_id", "description": "FK to products.product_id", "dataType": "VARCHAR"}, + {"name": "quantity", "description": "Quantity ordered", "dataType": "INT"}, + {"name": "unit_price", "description": "Unit price (USD)", "dataType": "DOUBLE"}, + {"name": "discount_pct", "description": "Discount percent", "dataType": "DOUBLE"}, + ] + } + ) + session.add_all([e1, e2, e3, e4, e5]) + session.flush() + + # Generate and save embeddings for each table + for table, enrichment in [(t1, e1), (t2, e2), (t3, e5), (t4, e3), (t5, e4)]: + desc = enrichment.data.get("table_description", "") + cols = ", ".join([c["name"] for c in enrichment.data.get("columns", [])]) + embed_text = f"Table: {table.schema_name}.{table.name}. Description: {desc}. Columns: {cols}" + table.embedding = get_embedding(embed_text) + session.add(table) # 4. Golden Questions # Table 1: simple_retail.orders diff --git a/backend/app/services/auth.py b/backend/app/services/auth.py index 6165e30..330cba7 100644 --- a/backend/app/services/auth.py +++ b/backend/app/services/auth.py @@ -1,8 +1,8 @@ from fastapi import Depends, HTTPException, status from sqlmodel import Session, select -from app.db.engine import get_session -from app.models.models import SecurityUser +from core.db.engine import get_session +from core.models.models import SecurityUser def get_user_by_email(email: str, session: Session) -> SecurityUser | None: diff --git a/backend/app/services/evaluator.py b/backend/app/services/evaluator.py index 8abf8bb..1a2332c 100644 --- a/backend/app/services/evaluator.py +++ b/backend/app/services/evaluator.py @@ -25,7 +25,7 @@ from langfuse.decorators import langfuse_context, observe from sqlmodel import Session -from app.models.models import EvalResult, GoldenQuestion +from core.models.models import EvalResult, GoldenQuestion from app.services.langfuse_client import Evaluation, langfuse_client as _lf_client logger = logging.getLogger(__name__) diff --git a/backend/app/services/join_detection.py b/backend/app/services/join_detection.py index 6379508..d88e623 100644 --- a/backend/app/services/join_detection.py +++ b/backend/app/services/join_detection.py @@ -2,8 +2,8 @@ from sqlmodel import Session, select -from app.db.engine import engine -from app.models.models import ColumnProfile, CrossTableProfile +from core.db.engine import engine +from core.models.models import ColumnProfile, CrossTableProfile logger = logging.getLogger(__name__) diff --git a/backend/app/services/scheduler.py b/backend/app/services/scheduler.py index 6ef093e..08fcd95 100644 --- a/backend/app/services/scheduler.py +++ b/backend/app/services/scheduler.py @@ -10,8 +10,8 @@ from apscheduler.triggers.cron import CronTrigger from sqlmodel import Session, select -from app.db.engine import engine -from app.models.models import ( +from core.db.engine import engine +from core.models.models import ( EvalRun, EvaluationSchedule, GoldenQuestion, diff --git a/backend/app/services/trino_client.py b/backend/app/services/trino_client.py index 80031bc..2312f56 100644 --- a/backend/app/services/trino_client.py +++ b/backend/app/services/trino_client.py @@ -1,99 +1,2 @@ -""" -trino_client.py — Real Trino DBAPI execution client. +from core import TrinoExecutionResult, get_trino_connection, execute_query_sync -Connects to the production Trino cluster using the trino-python-client. -Falls back gracefully with a structured error if the cluster is unreachable. -All queries are logged with execution time for observability. -""" - -import logging -import time -from typing import Any - -import trino -from pydantic import BaseModel - -from app.config import settings - -logger = logging.getLogger(__name__) - - -class TrinoExecutionResult(BaseModel): - success: bool - rows: list[list[Any]] = [] - columns: list[str] = [] - row_count: int = 0 - execution_time_ms: int = 0 - error_message: str | None = None - - -def get_trino_connection(): - """Create a real Trino DBAPI connection from settings.""" - auth = None - if settings.TRINO_CERT_PATH and settings.TRINO_KEY_PATH: - auth = trino.auth.CertificateAuthentication( - settings.TRINO_CERT_PATH, settings.TRINO_KEY_PATH - ) - elif settings.TRINO_PASSWORD: - auth = trino.auth.BasicAuthentication( - settings.TRINO_USER, settings.TRINO_PASSWORD - ) - - return trino.dbapi.connect( - host=settings.TRINO_HOST, - port=settings.TRINO_PORT, - user=settings.TRINO_USER, - catalog=settings.TRINO_CATALOG, - schema=settings.TRINO_SCHEMA, - http_scheme=settings.TRINO_HTTP_SCHEME, - auth=auth, - request_timeout=settings.TRINO_REQUEST_TIMEOUT, - verify=settings.TRINO_VERIFY, - ) - - -def execute_query_sync(sql: str, table_id: str = "") -> TrinoExecutionResult: - """ - Execute a SQL query against the real Trino cluster. - - Returns a structured TrinoExecutionResult with rows, columns, and timing. - Never raises — all errors are captured in error_message. - """ - start_time = time.time() - log_sql = sql.strip().replace("\n", " ")[:300] - logger.info(f"[TrinoClient] table_id={table_id} | {log_sql}") - - if not settings.TRINO_ENABLED: - logger.warning("[TrinoClient] TRINO_ENABLED=False — skipping real query") - return TrinoExecutionResult( - success=False, - error_message="Trino disabled (TRINO_ENABLED=False)", - execution_time_ms=0, - ) - - try: - conn = get_trino_connection() - cur = conn.cursor() - cur.execute(sql) - rows = cur.fetchall() - columns = [desc[0] for desc in cur.description] if cur.description else [] - execution_time_ms = int((time.time() - start_time) * 1000) - logger.info(f"[TrinoClient] OK — {len(rows)} rows in {execution_time_ms}ms") - return TrinoExecutionResult( - success=True, - rows=[list(r) for r in rows], - columns=columns, - row_count=len(rows), - execution_time_ms=execution_time_ms, - ) - except Exception as exc: - execution_time_ms = int((time.time() - start_time) * 1000) - logger.error(f"[TrinoClient] FAILED in {execution_time_ms}ms: {exc}") - return TrinoExecutionResult( - success=False, - rows=[], - columns=[], - row_count=0, - execution_time_ms=execution_time_ms, - error_message=str(exc), - ) diff --git a/backend/e2e_test.py b/backend/e2e_test.py index 9553b3e..fdc21df 100644 --- a/backend/e2e_test.py +++ b/backend/e2e_test.py @@ -8,8 +8,8 @@ from sqlmodel import Session, select -from app.db.engine import engine -from app.models.models import Table, TableCreate +from core.db.engine import engine +from core.models.models import Table, TableCreate from app.routers.tables import create_table from app.services.profiling_engine import run_table_profiling diff --git a/backend/pyproject.toml b/backend/pyproject.toml index f5eaada..d3663a3 100644 --- a/backend/pyproject.toml +++ b/backend/pyproject.toml @@ -23,6 +23,8 @@ dependencies = [ "passlib[bcrypt]==1.7.4", "requests==2.32.3", "minio>=7.2.0", + "core", + "python-core-utils[keycloak] @ git+ssh://git@github.com/matzpen-agency/python-core-utils.git@feat/google-sso#egg=python-core-utils", ] [dependency-groups] @@ -97,4 +99,11 @@ disable_error_code = [ "var-annotated" ] +[tool.uv.sources] +core = { path = "../core", editable = true } + +[tool.pytest.ini_options] +pythonpath = "." +python_files = ["test_*.py"] + diff --git a/backend/tests/conftest.py b/backend/tests/conftest.py index 5eab9b4..944db83 100644 --- a/backend/tests/conftest.py +++ b/backend/tests/conftest.py @@ -6,9 +6,11 @@ from psycopg2.extensions import ISOLATION_LEVEL_AUTOCOMMIT from sqlmodel import Session, SQLModel, create_engine -import app.db.engine +import core.db.engine +from app.core.auth import get_current_user +from core.models.models import SecurityUser from app.config import settings -from app.db.engine import get_session +from core.db.engine import get_session from app.main import app as fastapi_app # Parse the database URL from settings @@ -78,6 +80,7 @@ def test_engine(setup_test_db): from sqlalchemy import text with engine.connect() as conn: + conn.execute(text("CREATE EXTENSION IF NOT EXISTS vector")) conn.execute(text("CREATE SCHEMA IF NOT EXISTS security")) conn.commit() @@ -89,11 +92,11 @@ def test_engine(setup_test_db): @pytest.fixture(scope="session", autouse=True) def patch_global_engine(test_engine): - """Globally monkeypatches the app.db.engine.engine to isolate all routers to the test database.""" - original_engine = app.db.engine.engine - app.db.engine.engine = test_engine + """Globally monkeypatches the core.db.engine.engine to isolate all routers to the test database.""" + original_engine = core.db.engine.engine + core.db.engine.engine = test_engine yield - app.db.engine.engine = original_engine + core.db.engine.engine = original_engine @pytest.fixture @@ -111,7 +114,20 @@ def override_get_session(): with Session(test_engine) as session: yield session + + + def override_get_current_user(): + return SecurityUser( + id="test-user-id", + email="test-user@example.com", + name="Test User", + is_active=True, + is_admin=True, + ) + fastapi_app.dependency_overrides[get_session] = override_get_session + fastapi_app.dependency_overrides[get_current_user] = override_get_current_user with TestClient(fastapi_app) as test_client: yield test_client fastapi_app.dependency_overrides.clear() + diff --git a/backend/tests/test_api.py b/backend/tests/test_api.py index 43218ad..92e4f11 100644 --- a/backend/tests/test_api.py +++ b/backend/tests/test_api.py @@ -1,11 +1,12 @@ from unittest.mock import MagicMock, patch -from app.models.models import ( +from core.models.models import ( AuditQuery, EvalStatus, GoldenQuestion, Table, TableStatus, + EnrichmentVersion ) # ── Mock objects for testing ────────────────────────────────────────────────── @@ -50,7 +51,7 @@ def test_create_table(mock_fqn, mock_get, client, db_session): mock_get.return_value = mock_response payload = {"oasis_source_id": "test-source-id-123"} - response = client.post("/tables", json=payload) + response = client.post("/api/tables", json=payload) assert response.status_code == 201 data = response.json() @@ -86,19 +87,19 @@ def test_list_tables(client, db_session): db_session.add(t2) db_session.commit() - response = client.get("/tables") + response = client.get("/api/tables") assert response.status_code == 200 assert len(response.json()) >= 2 # Test filtering by status - response = client.get("/tables", params={"status": "sandbox"}) + response = client.get("/api/tables", params={"status": "sandbox"}) assert response.status_code == 200 results = response.json() assert all(r["status"] == "sandbox" for r in results) def test_get_table_not_found(client): - response = client.get("/tables/non-existent-uuid") + response = client.get("/api/tables/non-existent-uuid") assert response.status_code == 404 assert response.json()["detail"] == "Table not found" @@ -106,7 +107,7 @@ def test_get_table_not_found(client): # ── Scopes API Tests ────────────────────────────────────────────────────────── def test_create_and_list_scopes(client, db_session): payload = {"user_id": "test-user", "name": "Marketing Team"} - response = client.post("/scopes", json=payload) + response = client.post("/api/scopes", json=payload) assert response.status_code == 201 scope_data = response.json() @@ -114,12 +115,12 @@ def test_create_and_list_scopes(client, db_session): assert scope_data["is_active"] is False # List scopes - response = client.get("/scopes") + response = client.get("/api/scopes") assert response.status_code == 200 assert len(response.json()) >= 1 # Activate scope - response = client.post(f"/scopes/{scope_data['id']}/activate") + response = client.post(f"/api/scopes/{scope_data['id']}/activate") assert response.status_code == 200 assert response.json()["is_active"] is True @@ -145,18 +146,18 @@ def test_question_lifecycle(client, db_session): "difficulty": "simple", "question_type": "simple", } - response = client.post(f"/tables/{table.id}/questions", json=payload) + response = client.post(f"/api/tables/{table.id}/questions", json=payload) assert response.status_code == 201 q_data = response.json() assert q_data["question"] == "Show all orders last month" # List questions - response = client.get(f"/tables/{table.id}/questions") + response = client.get(f"/api/tables/{table.id}/questions") assert response.status_code == 200 assert len(response.json()) == 1 # Delete question - response = client.delete(f"/tables/{table.id}/questions/{q_data['id']}") + response = client.delete(f"/api/tables/{table.id}/questions/{q_data['id']}") assert response.status_code == 204 @@ -178,8 +179,6 @@ def test_trigger_evaluation_run(mock_lf, client, db_session): db_session.refresh(table) # Seed an enrichment version (required by the validation check) - from app.models.models import EnrichmentVersion - enrichment = EnrichmentVersion( table_id=table.id, version=1, @@ -195,7 +194,7 @@ def 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--platform linux/amd64 --load -t my-frontend:${TAG} ./frontend + +echo "🔨 Building Backend (linux/amd64)..." +docker buildx build --platform linux/amd64 --load --secret id=deploy_key,src=./deploy_key -f ./backend/Dockerfile -t my-backend:${TAG} . + +echo "🔨 Building Agent (linux/amd64)..." +docker buildx build --platform linux/amd64 --load --secret id=deploy_key,src=./deploy_key -f ./agent/Dockerfile -t my-agent:${TAG} . + +echo "📦 Creating openshift-images directory..." +mkdir -p openshift-images + +echo "📦 Saving Frontend image to openshift-images/frontend.tar..." +docker save -o openshift-images/frontend.tar my-frontend:${TAG} + +echo "📦 Saving Backend image to openshift-images/backend.tar..." +docker save -o openshift-images/backend.tar my-backend:${TAG} + +echo "📦 Saving Agent image to openshift-images/agent.tar..." +docker save -o openshift-images/agent.tar my-agent:${TAG} + +echo "✅ Build and save complete!" +echo "The linux/amd64 images have been saved as separate .tar files in the 'openshift-images' folder." +echo "" +echo "You can transfer this folder to your OpenShift environment and load them using:" +echo "docker load -i openshift-images/frontend.tar" +echo "docker load -i openshift-images/backend.tar" +echo "docker load -i openshift-images/agent.tar" diff --git a/core/README.md b/core/README.md new file mode 100644 index 0000000..e69de29 diff --git a/core/pyproject.toml b/core/pyproject.toml new file mode 100644 index 0000000..559d8af --- /dev/null +++ b/core/pyproject.toml @@ -0,0 +1,20 @@ +[project] +name = "core" +version = "0.1.0" +description = "Shared core package for Text2SQL Studio" +readme = "README.md" +requires-python = ">=3.12" +dependencies = [ + "sqlmodel==0.0.22", + "alembic==1.14.0", + "pydantic==2.10.4", + "pydantic-settings==2.7.0", + "trino>=0.328.0", + "pgvector>=0.2.0", + "psycopg2-binary==2.9.9", + "python-core-utils[postgres,redis] @ git+ssh://git@github.com/matzpen-agency/python-core-utils.git@feat/google-sso", +] + +[build-system] +requires = ["uv_build>=0.11.7,<0.12.0"] +build-backend = "uv_build" diff --git a/core/src/core/__init__.py b/core/src/core/__init__.py new file mode 100644 index 0000000..ce5a792 --- /dev/null +++ b/core/src/core/__init__.py @@ -0,0 +1,2 @@ +from core.trino import execute_query_sync, get_trino_connection, TrinoExecutionResult + diff --git a/core/src/core/config.py b/core/src/core/config.py new file mode 100644 index 0000000..c03f8b3 --- /dev/null +++ b/core/src/core/config.py @@ -0,0 +1,21 @@ +from pydantic_settings import BaseSettings, SettingsConfigDict + +class CoreSettings(BaseSettings): + model_config = SettingsConfigDict(env_file=".env", extra="ignore") + + DATABASE_URL: str = "sqlite:///./text2sql.db" + + TRINO_HOST: str = "localhost" + TRINO_PORT: int = 8080 + TRINO_USER: str = "trino" + TRINO_PASSWORD: str = "" + TRINO_CATALOG: str = "minio" + TRINO_SCHEMA: str = "simple_retail" + TRINO_HTTP_SCHEME: str = "http" + TRINO_REQUEST_TIMEOUT: float = 30.0 + TRINO_ENABLED: bool = True + TRINO_VERIFY: bool | str = False + TRINO_CERT_PATH: str | None = None + TRINO_KEY_PATH: str | None = None + +settings = CoreSettings() diff --git a/core/src/core/db/__init__.py b/core/src/core/db/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/core/src/core/db/engine.py b/core/src/core/db/engine.py new file mode 100644 index 0000000..1a8f760 --- /dev/null +++ b/core/src/core/db/engine.py @@ -0,0 +1,26 @@ +import os + +from alembic.config import Config +from sqlmodel import Session + +from alembic import command +from python_core_utils import get_engine + +engine = get_engine() + + +def create_db_and_tables(alembic_ini_path: str = "alembic.ini"): + """Run Alembic migrations to update the database schema.""" + if not os.path.exists(alembic_ini_path): + # Fallback to backend/alembic.ini for testing + alembic_ini_path = os.path.join(os.getcwd(), "backend", "alembic.ini") + if not os.path.exists(alembic_ini_path): + alembic_ini_path = os.path.join(os.getcwd(), "alembic.ini") + + alembic_cfg = Config(alembic_ini_path) + command.upgrade(alembic_cfg, "head") + + +def get_session(): + with Session(engine) as session: + yield session diff --git a/core/src/core/models/__init__.py b/core/src/core/models/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/backend/app/models/models.py b/core/src/core/models/models.py similarity index 89% rename from backend/app/models/models.py rename to core/src/core/models/models.py index 3bf2695..f232205 100644 --- a/backend/app/models/models.py +++ b/core/src/core/models/models.py @@ -2,9 +2,9 @@ from datetime import datetime from enum import StrEnum from typing import Any - from sqlalchemy import JSON, Column, ForeignKey -from sqlmodel import Field, SQLModel +from sqlmodel import Field, SQLModel, Relationship +from pgvector.sqlalchemy import Vector class TableStatus(StrEnum): @@ -27,6 +27,7 @@ class Table(SQLModel, table=True): catalog: str = Field(default="dataverse") service: str = Field(default="trino_ingestion") openmetadata_json: Any | None = Field(default=None, sa_column=Column(JSON)) + embedding: Any | None = Field(default=None, sa_column=Column(Vector(768))) created_at: datetime = Field(default_factory=datetime.utcnow) updated_at: datetime = Field(default_factory=datetime.utcnow) @@ -675,6 +676,31 @@ class TableHealthRead(SQLModel): # ───────────────────────────────────────────────────────────────────────────── +class OrganizationMember(SQLModel, table=True): + __tablename__ = "organization_members" + __table_args__ = {"schema": "security"} + + user_id: str = Field( + foreign_key="security.users.id", primary_key=True + ) + organization_id: str = Field( + foreign_key="security.organizations.id", primary_key=True + ) + + +class Organization(SQLModel, table=True): + __tablename__ = "organizations" + __table_args__ = {"schema": "security"} + + id: str = Field(default_factory=lambda: str(uuid.uuid4()), primary_key=True) + name: str = Field(unique=True, index=True) + created_at: datetime = Field(default_factory=datetime.utcnow) + + members: list["SecurityUser"] = Relationship( + back_populates="organizations", link_model=OrganizationMember + ) + + class SecurityUser(SQLModel, table=True): __tablename__ = "users" __table_args__ = {"schema": "security"} @@ -682,11 +708,17 @@ class SecurityUser(SQLModel, table=True): id: str = Field(default_factory=lambda: str(uuid.uuid4()), primary_key=True) email: str = Field(unique=True, index=True) name: str + sso_id: str | None = Field(default=None, index=True) + provider: str | None = Field(default=None) is_active: bool = Field(default=True) is_admin: bool = Field(default=False) created_at: datetime = Field(default_factory=datetime.utcnow) updated_at: datetime = Field(default_factory=datetime.utcnow) + organizations: list["Organization"] = Relationship( + back_populates="members", link_model=OrganizationMember + ) + class SecurityUserRead(SQLModel): id: str @@ -694,10 +726,16 @@ class SecurityUserRead(SQLModel): name: str is_active: bool is_admin: bool + provider: str | None created_at: datetime updated_at: datetime +class AuthConfigRead(SQLModel): + ENABLE_KEYCLOAK: bool + ENABLE_GOOGLE: bool + + # ───────────────────────────────────────────────────────────────────────────── # CUSTOM FOREIGN KEY MODELS # ───────────────────────────────────────────────────────────────────────────── @@ -736,3 +774,41 @@ class ForeignKeyMappingRead(SQLModel): target_column: str created_at: datetime updated_at: datetime + + +# ───────────────────────────────────────────────────────────────────────────── +# HTTP EXTRACTORS +# ───────────────────────────────────────────────────────────────────────────── + +class ExtractorStatus(StrEnum): + draft = "draft" + sandbox = "sandbox" + verified = "verified" + production = "production" + degraded = "degraded" + +class HttpExtractor(SQLModel, table=True): + __tablename__ = "http_extractors" + + id: str = Field(default_factory=lambda: str(uuid.uuid4()), primary_key=True) + name: str = Field(unique=True, index=True) + url: str + description: str | None = None + status: ExtractorStatus = Field(default=ExtractorStatus.draft) + created_at: datetime = Field(default_factory=datetime.utcnow) + updated_at: datetime = Field(default_factory=datetime.utcnow) + +class HttpExtractorCreate(SQLModel): + name: str + url: str + description: str | None = None + status: ExtractorStatus = ExtractorStatus.draft + +class HttpExtractorRead(SQLModel): + id: str + name: str + url: str + description: str | None + status: ExtractorStatus + created_at: datetime + updated_at: datetime diff --git a/core/src/core/py.typed b/core/src/core/py.typed new file mode 100644 index 0000000..e69de29 diff --git a/core/src/core/trino.py b/core/src/core/trino.py new file mode 100644 index 0000000..eaba9df --- /dev/null +++ b/core/src/core/trino.py @@ -0,0 +1,92 @@ +""" +trino.py — Real Trino connection and execution helper. +""" + +import logging +import time +from typing import Any + +import trino +from pydantic import BaseModel + +from core.config import settings + +logger = logging.getLogger(__name__) + + +class TrinoExecutionResult(BaseModel): + success: bool + rows: list[list[Any]] = [] + columns: list[str] = [] + row_count: int = 0 + execution_time_ms: int = 0 + error_message: str | None = None + + +def get_trino_connection(): + """Create a real Trino DBAPI connection from settings.""" + auth = None + if settings.TRINO_CERT_PATH and settings.TRINO_KEY_PATH: + auth = trino.auth.CertificateAuthentication( + settings.TRINO_CERT_PATH, settings.TRINO_KEY_PATH + ) + elif settings.TRINO_PASSWORD: + auth = trino.auth.BasicAuthentication( + settings.TRINO_USER, settings.TRINO_PASSWORD + ) + + return trino.dbapi.connect( + host=settings.TRINO_HOST, + port=settings.TRINO_PORT, + user=settings.TRINO_USER, + catalog=settings.TRINO_CATALOG, + schema=settings.TRINO_SCHEMA, + http_scheme=settings.TRINO_HTTP_SCHEME, + auth=auth, + request_timeout=settings.TRINO_REQUEST_TIMEOUT, + verify=settings.TRINO_VERIFY, + ) + + +def execute_query_sync(sql: str, table_id: str = "") -> TrinoExecutionResult: + """ + Execute a SQL query against the real Trino cluster. + """ + start_time = time.time() + log_sql = sql.strip().replace("\n", " ")[:300] + logger.info(f"[CoreTrinoClient] table_id={table_id} | {log_sql}") + + if not settings.TRINO_ENABLED: + logger.warning("[CoreTrinoClient] TRINO_ENABLED=False — skipping real query") + return TrinoExecutionResult( + success=False, + error_message="Trino disabled (TRINO_ENABLED=False)", + execution_time_ms=0, + ) + + try: + conn = get_trino_connection() + cur = conn.cursor() + cur.execute(sql) + rows = cur.fetchall() + columns = [desc[0] for desc in cur.description] if cur.description else [] + execution_time_ms = int((time.time() - start_time) * 1000) + logger.info(f"[CoreTrinoClient] OK — {len(rows)} rows in {execution_time_ms}ms") + return TrinoExecutionResult( + success=True, + rows=[list(r) for r in rows], + columns=columns, + row_count=len(rows), + execution_time_ms=execution_time_ms, + ) + except Exception as exc: + execution_time_ms = int((time.time() - start_time) * 1000) + logger.error(f"[CoreTrinoClient] FAILED in {execution_time_ms}ms: {exc}") + return TrinoExecutionResult( + success=False, + rows=[], + columns=[], + row_count=0, + execution_time_ms=execution_time_ms, + error_message=str(exc), + ) diff --git a/docker-compose.yml b/docker-compose.yml index 468fdd5..2a5c293 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -1,6 +1,6 @@ services: db: - image: postgres:16-alpine + image: pgvector/pgvector:pg16 restart: unless-stopped environment: POSTGRES_USER: postgres @@ -16,6 +16,16 @@ services: interval: 5s timeout: 5s retries: 10 + redis: + image: redis:7-alpine + restart: unless-stopped + ports: + - "6379:6379" + healthcheck: + test: ["CMD", "redis-cli", "ping"] + interval: 5s + timeout: 5s + retries: 5 minio: image: minio/minio:RELEASE.2023-11-20T22-40-07Z ports: @@ -28,16 +38,19 @@ services: volumes: - minio_data:/data trino: - image: trinodb/trino:435 + image: trinodb/trino:443 ports: - 8080:8080 volumes: - ./infra/trino/etc/catalog:/etc/trino/catalog + - ./infra/trino/etc/jvm.config:/etc/trino/jvm.config depends_on: db: condition: service_healthy minio: condition: service_started + environment: + SNOWFLAKE_PASSWORD: ${SNOWFLAKE_PASSWORD} healthcheck: test: ["CMD", "curl", "-f", "http://localhost:8080/v1/info"] interval: 10s @@ -93,9 +106,9 @@ services: MIGRATION_LIMIT_PARAM: ${MIGRATION_LIMIT_PARAM:-1200} AUTHORIZER_CLASS_NAME: ${AUTHORIZER_CLASS_NAME:-org.openmetadata.service.security.DefaultAuthorizer} AUTHORIZER_REQUEST_FILTER: ${AUTHORIZER_REQUEST_FILTER:-org.openmetadata.service.security.JwtFilter} - AUTHORIZER_ADMIN_PRINCIPALS: ${AUTHORIZER_ADMIN_PRINCIPALS:-[admin]} + AUTHORIZER_ADMIN_PRINCIPALS: ${AUTHORIZER_ADMIN_PRINCIPALS:-[admin,profiler-bot]} AUTHORIZER_ALLOWED_REGISTRATION_DOMAIN: ${AUTHORIZER_ALLOWED_REGISTRATION_DOMAIN:-["all"]} - AUTHORIZER_INGESTION_PRINCIPALS: ${AUTHORIZER_INGESTION_PRINCIPALS:-[ingestion-bot]} + AUTHORIZER_INGESTION_PRINCIPALS: ${AUTHORIZER_INGESTION_PRINCIPALS:-[ingestion-bot,profiler-bot]} AUTHORIZER_PRINCIPAL_DOMAIN: ${AUTHORIZER_PRINCIPAL_DOMAIN:-"open-metadata.org"} AUTHORIZER_ENFORCE_PRINCIPAL_DOMAIN: ${AUTHORIZER_ENFORCE_PRINCIPAL_DOMAIN:-false} AUTHORIZER_ENABLE_SECURE_SOCKET: ${AUTHORIZER_ENABLE_SECURE_SOCKET:-false} @@ -229,9 +242,9 @@ services: LOG_LEVEL: ${LOG_LEVEL:-INFO} AUTHORIZER_CLASS_NAME: ${AUTHORIZER_CLASS_NAME:-org.openmetadata.service.security.DefaultAuthorizer} AUTHORIZER_REQUEST_FILTER: ${AUTHORIZER_REQUEST_FILTER:-org.openmetadata.service.security.JwtFilter} - AUTHORIZER_ADMIN_PRINCIPALS: ${AUTHORIZER_ADMIN_PRINCIPALS:-[admin]} + AUTHORIZER_ADMIN_PRINCIPALS: ${AUTHORIZER_ADMIN_PRINCIPALS:-[admin,profiler-bot]} AUTHORIZER_ALLOWED_REGISTRATION_DOMAIN: ${AUTHORIZER_ALLOWED_REGISTRATION_DOMAIN:-["all"]} - AUTHORIZER_INGESTION_PRINCIPALS: ${AUTHORIZER_INGESTION_PRINCIPALS:-[ingestion-bot]} + AUTHORIZER_INGESTION_PRINCIPALS: ${AUTHORIZER_INGESTION_PRINCIPALS:-[ingestion-bot,profiler-bot]} AUTHORIZER_PRINCIPAL_DOMAIN: ${AUTHORIZER_PRINCIPAL_DOMAIN:-"open-metadata.org"} AUTHORIZER_ENFORCE_PRINCIPAL_DOMAIN: ${AUTHORIZER_ENFORCE_PRINCIPAL_DOMAIN:-false} AUTHORIZER_ENABLE_SECURE_SOCKET: ${AUTHORIZER_ENABLE_SECURE_SOCKET:-false} @@ -396,8 +409,10 @@ services: backend: build: - context: ./backend - dockerfile: Dockerfile + context: . + dockerfile: ./backend/Dockerfile + secrets: + - deploy_key command: sh -c "python -m app.seed && python -m app.infra_init && uvicorn app.main:app --host 0.0.0.0 --port 8000" env_file: - ./backend/.env @@ -405,6 +420,7 @@ services: - "8000:8000" environment: - DATABASE_URL=postgresql://postgres:postgres@db:5432/text2sql + - POSTGRES_HOST=db - TRINO_HOST=trino - TRINO_PORT=8080 - TRINO_USER=trino @@ -418,9 +434,18 @@ services: - OPENMETADATA_SERVICE_NAME=local_trino - APP_ENV=production - JWT_SECRET=dev-secret-change-in-production - - LANGFUSE_PUBLIC_KEY=pk-lf-4d50ba92-b9b2-48bf-a395-3335e069fd2c - - LANGFUSE_SECRET_KEY=sk-lf-0a4d3df1-573b-47a3-b534-52b59ba1bf8a - - LANGFUSE_HOST=https://cloud.langfuse.com + - LANGFUSE_PUBLIC_KEY=${LANGFUSE_PUBLIC_KEY} + - LANGFUSE_SECRET_KEY=${LANGFUSE_SECRET_KEY} + - LANGFUSE_HOST=${LANGFUSE_HOST} + - ENABLE_GOOGLE=${ENABLE_GOOGLE} + - GOOGLE_CLIENT_ID=${GOOGLE_CLIENT_ID} + - GOOGLE_CLIENT_SECRET=${GOOGLE_CLIENT_SECRET} + - ENABLE_KEYCLOAK=${ENABLE_KEYCLOAK} + - KEYCLOAK_SERVER_URL=${KEYCLOAK_SERVER_URL} + - KEYCLOAK_CLIENT_ID=${KEYCLOAK_CLIENT_ID} + - KEYCLOAK_CLIENT_SECRET=${KEYCLOAK_CLIENT_SECRET} + - FRONTEND_DEFAULT_REDIRECT=${FRONTEND_DEFAULT_REDIRECT} + - SSO_REDIRECT_URI=${SSO_REDIRECT_URI} depends_on: db: condition: service_healthy @@ -435,12 +460,56 @@ services: retries: 5 start_period: 10s + agent: + build: + context: . + dockerfile: ./agent/Dockerfile + secrets: + - deploy_key + env_file: + - ./agent/.env + ports: + - "8001:8001" + environment: + - DATABASE_URL=postgresql://postgres:postgres@db:5432/text2sql + - POSTGRES_HOST=db + - POSTGRES_USER=postgres + - POSTGRES_PASSWORD=postgres + - POSTGRES_PORT=5432 + - POSTGRES_DB=text2sql + - REDIS_URL=redis://redis:6379 + - REDIS_SSL=false + - LLM_BASE_URL=http://host.docker.internal:11434/v1 + - LLM_MODEL=gemma4:e4b + - LLM_API_KEY=ollama + - EMBEDDER_URL=http://host.docker.internal:11434 + - EMBEDDER_MODEL=nomic-embed-text:latest + - ESCA_URL=http://host.docker.internal:7010 + - TRINO_HOST=trino + - TRINO_PORT=8080 + - TRINO_USER=trino + - TRINO_PASSWORD= + - TRINO_CATALOG=minio + - TRINO_SCHEMA=simple_retail + - TRINO_HTTP_SCHEME=http + - TRINO_REQUEST_TIMEOUT=30.0 + - TRINO_ENABLED=true + extra_hosts: + - "host.docker.internal:host-gateway" + depends_on: + db: + condition: service_healthy + redis: + condition: service_healthy + frontend: build: context: ./frontend dockerfile: Dockerfile ports: - - "3000:80" + - "3000:8080" + environment: + - BACKEND_URL=http://backend:8000 depends_on: backend: condition: service_healthy @@ -454,3 +523,7 @@ volumes: es-data: null db-data: null +secrets: + deploy_key: + file: ./deploy_key + diff --git a/external_extractor/README.md b/external_extractor/README.md new file mode 100644 index 0000000..e69de29 diff --git a/external_extractor/main.py b/external_extractor/main.py new file mode 100644 index 0000000..3dcbce0 --- /dev/null +++ b/external_extractor/main.py @@ -0,0 +1,32 @@ +from fastapi import FastAPI +from pydantic import BaseModel, Field + +app = FastAPI(title="Location Extractor") + +class ExtractorRequest(BaseModel): + query: str + +class ContextEntry(BaseModel): + term: str + context: str + +class ExtractorResponse(BaseModel): + enrichments: list[ContextEntry] = Field(default_factory=list) + +@app.post("/", response_model=ExtractorResponse) +def extract_location(request: ExtractorRequest): + query_lower = request.query.lower() + enrichments = [] + + locations = { 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variable + location /api/ { + proxy_pass ${BACKEND_URL}; + proxy_http_version 1.1; + proxy_set_header Upgrade $http_upgrade; + proxy_set_header Connection "upgrade"; + proxy_set_header Host $http_host; + proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; + proxy_set_header X-Forwarded-Proto $scheme; + proxy_set_header X-Forwarded-Host $http_host; + proxy_cache_bypass $http_upgrade; + } + error_page 500 502 503 504 /50x.html; location = /50x.html { root /usr/share/nginx/html; diff --git a/frontend/package.json b/frontend/package.json index 97155fc..c1a91a3 100644 --- a/frontend/package.json +++ b/frontend/package.json @@ -19,6 +19,8 @@ }, "dependencies": { "@ant-design/icons": "^5.5.2", + "@fontsource/plus-jakarta-sans": "^5.2.8", + "@hookform/resolvers": "^5.4.0", "@tanstack/react-query": "^5.62.7", "@tanstack/react-query-devtools": "^5.62.7", "@types/recharts": "^1.8.29", @@ -31,9 +33,11 @@ "lucide-react": "^0.468.0", "react": "^18.3.1", "react-dom": "^18.3.1", + 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'@fontsource/plus-jakarta-sans@5.2.8': {} + + '@hookform/resolvers@5.4.0(react-hook-form@7.79.0(react@18.3.1))': + dependencies: + '@standard-schema/utils': 0.3.0 + react-hook-form: 7.79.0(react@18.3.1) + '@humanfs/core@0.19.2': dependencies: '@humanfs/types': 0.15.0 @@ -6216,6 +4674,10 @@ snapshots: react: 18.3.1 scheduler: 0.23.2 + react-hook-form@7.79.0(react@18.3.1): + dependencies: + react: 18.3.1 + react-i18next@15.7.4(i18next@24.2.3(typescript@5.6.3))(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(typescript@5.6.3): dependencies: '@babel/runtime': 7.29.7 @@ -6597,6 +5059,8 @@ snapshots: yocto-queue@0.1.0: {} + zod@4.4.3: {} + zustand@5.0.13(@types/react@18.3.29)(immer@11.1.8)(react@18.3.1)(use-sync-external-store@1.6.0(react@18.3.1)): optionalDependencies: '@types/react': 18.3.29 diff --git a/frontend/src/App.tsx b/frontend/src/App.tsx index f033399..5c5a319 100644 --- a/frontend/src/App.tsx +++ b/frontend/src/App.tsx @@ -10,14 +10,15 @@ import { MonitoringPage } from './components/monitoring/MonitoringPage'; import { TableDetails } from './components/tables/TableDetails'; import { TableList } from './components/tables/TableList'; import { OnboardingWizard } from './components/wizard/OnboardingWizard'; -import { AdminLoginPage } from './pages/AdminLoginPage'; import { AdminPanelPage } from './pages/AdminPanelPage'; import { AnalyticsPage } from './pages/AnalyticsPage'; import { ControlCenterPage } from './pages/ControlCenterPage'; import { EvaluationsPage } from './pages/EvaluationsPage'; import { LandingPage } from './pages/LandingPage'; import { ScopesPage } from './pages/ScopesPage'; -import { useAdminStore } from './store/adminStore'; +import { LoginPage } from './pages/LoginPage'; +import { useAuthStore } from './store/authStore'; +import { AuthProvider } from './components/layout/AuthProvider'; import './styles/globals.css'; @@ -49,9 +50,21 @@ function LanguageToggle() { } function ProtectedAdminRoute({ children }: { children: React.ReactNode }) { - const isAuthenticated = useAdminStore((state) => state.isAuthenticated); + const { user, isAuthenticated, isLoading } = useAuthStore(); + + if (isLoading) return