diff --git a/.gitattributes b/.gitattributes index c6d4021..a82c521 100644 --- a/.gitattributes +++ b/.gitattributes @@ -1,2 +1,4 @@ *.jpeg filter=lfs diff=lfs merge=lfs -text *.png filter=lfs diff=lfs merge=lfs -text +# SCM syntax highlighting & preventing 3-way merges +pixi.lock merge=binary linguist-language=YAML linguist-generated=true diff --git a/.gitignore b/.gitignore index 31c2f2c..a3bb1ff 100644 --- a/.gitignore +++ b/.gitignore @@ -68,3 +68,6 @@ deep_searches/ # Generated project dumps full_project.txt src_structure.txt +# pixi environments +.pixi/* +!.pixi/config.toml diff --git a/main.py b/main.py index 7fc4716..c9fca70 100644 --- a/main.py +++ b/main.py @@ -285,12 +285,6 @@ def main(): print(BANNER) # Check for required API keys - if not os.environ.get("ARRAYLAKE_API_KEY"): - print("ERROR: ARRAYLAKE_API_KEY not found in environment.") - print("Please add it to your .env file:") - print(" ARRAYLAKE_API_KEY=your_api_key_here") - sys.exit(1) - if not os.environ.get("OPENAI_API_KEY"): print("ERROR: OPENAI_API_KEY not found in environment.") print("Please add it to your .env file:") diff --git a/pixi.lock b/pixi.lock new file mode 100644 index 0000000..0443bd3 --- /dev/null +++ b/pixi.lock @@ -0,0 +1,3452 @@ +version: 6 +environments: + agent: + channels: + - 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__osx >=11.0 + - libzlib >=1.3.1,<2.0a0 + license: BSD-3-Clause + license_family: BSD + purls: [] + size: 433413 + timestamp: 1764777166076 diff --git a/plans/copernicus-backend-v2.md b/plans/copernicus-backend-v2.md new file mode 100644 index 0000000..c535cd6 --- /dev/null +++ b/plans/copernicus-backend-v2.md @@ -0,0 +1,254 @@ +# Copernicus Marine Backend — Refined Plan (v2) + +MVP focus. **Replace ERA5 with Copernicus for now.** ERA5 files stay untouched but unwired. +Multi-backend routing is the next step after this works. + +--- + +## Current architecture (ERA5) + +### Module map + +```mermaid +graph TD + subgraph "Entry points" + CLI[main.py] + Web[web/app.py] + MCP[server.py] + end + + subgraph "tools/" + Reg["__init__.py
get_all_tools()"] + E5T["era5.py
era5_tool
ERA5RetrievalArgs (Pydantic)"] + REPL["repl.py
PythonREPLTool"] + RT["routing.py
routing_tool"] + AG["analysis_guide.py
analysis_guide_tool"] + end + + subgraph "eurus/" + RET["retrieval.py
retrieve_era5_data()"] + MEM["memory.py
MemoryManager
DatasetRecord
SmartConversationMemory"] + CFG["config.py
ERA5Variable
GeographicRegion
AgentConfig
VARIABLE_ALIASES
AGENT_SYSTEM_PROMPT"] + end + + subgraph "External" + AL[("Arraylake / S3
ERA5 Zarr store")] + DISK[("Local disk
./data/*.zarr cache")] + end + + CLI & Web & MCP --> Reg + Reg --> E5T & REPL & RT & AG + E5T --> RET + RET --> CFG + RET --> MEM + RET --> AL + RET --> DISK + MEM --> DISK +``` + +### Variable alias wiring (ERA5) + +`config.py` holds two structures: + +- **`ERA5_VARIABLES`** — `dict[short_name → ERA5Variable]` + Canonical catalog. `ERA5Variable` carries `short_name`, `long_name`, `units`, `description`, `category`, `typical_range`, `colormap`. + +- **`VARIABLE_ALIASES`** — `dict[friendly_name → short_name]` + e.g. `"sea_surface_temperature" → "sst"`, `"temperature" → "t2"`. + +`get_short_name(variable_id)` checks aliases first, then falls back to the main dict, then returns the input as-is. +The Pydantic validator in `tools/era5.py` calls `get_short_name()` to normalise before the tool runs. +The LLM itself never needs to know about aliases — the system prompt lists short names; the validator is just a safety net. + +### Sequence: user prompt → cached Zarr + +```mermaid +sequenceDiagram + actor User + participant Agent as LangChain Agent + participant Tool as tools/era5.py + participant Ret as retrieval.py + participant AL as Arraylake (S3) + participant Disk as Local ./data/ + + User->>Agent: "Get SST for North Atlantic 2023" + Agent->>Tool: retrieve_era5_data(variable_id="sst", start="2023-01-01", ...) + Tool->>Tool: _auto_detect_query_type() → "temporal" + Tool->>Ret: _retrieve_era5_data(query_type="temporal", variable_id="sst", ...) + Ret->>Ret: read ARRAYLAKE_API_KEY from env + Ret->>Disk: exists era5_sst_temporal_20230101_20231231_north_atlantic.zarr? + alt Cache hit + Disk-->>Ret: yes + Ret-->>Agent: "CACHE HIT — Path: ./data/era5_sst_..." + else Cache miss + Ret->>AL: Client(token=api_key).get_repo("earthmover-public/era5-surface-aws") + AL-->>Ret: session.store + Ret->>AL: xr.open_dataset(session.store, engine="zarr", group="temporal") + AL-->>Ret: lazy xarray.Dataset + Ret->>Ret: .sel(time=..., latitude=..., longitude=...) + Ret->>Ret: .load() + Ret->>Disk: .to_zarr(local_path) + Ret->>Ret: memory.register_dataset(...) + Ret-->>Agent: "SUCCESS — Path: ./data/era5_sst_..." + end + Agent->>Tool: python_repl(...) — analyse / plot + Agent-->>User: response + plots +``` + +Key points: +- **Credentials**: `ARRAYLAKE_API_KEY` read from env (checked explicitly; returns error string if missing) +- **No query_type exposed to LLM** — auto-detected from time span × area +- **Cache key** = deterministic filename from variable + dates + bounds; checked before any network call +- **Return type**: always a plain string (success or error); no exceptions bubble up + +--- + +## Where Copernicus slots in + +### Decision: flat file, not `backends/` subpackage + +ERA5 lives at `eurus/retrieval.py`. Copernicus should live at `eurus/copernicus.py` — same level, same pattern. A `backends/` subpackage adds indirection with no MVP benefit; can be refactored later if a third backend appears. + +### Updated module map (after adding Copernicus) + +```mermaid +graph TD + subgraph "tools/" + Reg["__init__.py
get_all_tools()"] + E5T["era5.py
era5_tool"] + CMT["copernicus.py ← NEW
copernicus_tool"] + REPL["repl.py"] + RT["routing.py"] + AG["analysis_guide.py"] + end + + subgraph "eurus/" + RET["retrieval.py
retrieve_era5_data()"] + COP["copernicus.py ← NEW
COPERNICUS_CATALOG
COPERNICUS_ALIASES
retrieve_copernicus_data()"] + MEM["memory.py
MemoryManager"] + CFG["config.py
(unchanged for MVP)"] + end + + subgraph "External" + AL[("Arraylake / S3
ERA5")] + CMEMS[("Copernicus Marine
GLORYS12 / DUACS / WAVERYS")] + DISK[("Local disk
./data/*.zarr")] + end + + Reg --> E5T & CMT & REPL & RT & AG + E5T --> RET --> AL + CMT --> COP --> CMEMS + RET & COP --> MEM + RET & COP --> DISK + RET --> CFG +``` + +--- + +## Concrete decisions (from feedback) + +| Topic | Decision | +|---|---| +| Credentials | Assume `copernicusmarine login` already run → `~/.copernicusmarine` exists. No env-var check, no helpful error. Just let the toolbox fail naturally. | +| `service=` kwarg | Auto-detected: `arco-time-series` when time>1d AND area<900sq°, else `arco-geo-series` (mirrors ERA5 temporal/spatial logic) | +| Variable aliases | Local `COPERNICUS_ALIASES` dict inside `eurus/copernicus.py`; not mixed into `config.py` | +| Depth/`my` vs `myint` | MVP: hardcode `my` dataset IDs only. `myint` fallback deferred. | +| System prompt | Add a minimal Copernicus section to `AGENT_SYSTEM_PROMPT` in `config.py` before first test session | +| `backends/` subpackage | No. Flat file: `eurus/copernicus.py` + `tools/copernicus.py` | + +--- + +## Depth handling + +Only four GLORYS12 variables have a depth dimension: `thetao`, `so`, `uo`, `vo`. +The tool exposes `depth_m: Optional[float] = None` (defaults to surface ≈ 0.5 m). + +The LLM learns the mapping from the **tool description string** and the **system prompt**: + +``` +depth_m: depth in metres (default None = surface, ~0.5 m). +For bottom temperature use variable='bottomT' (no depth_m needed). +For mixed-layer depth use variable='mlotst'. +To average over the mixed layer: first retrieve mlotst, then retrieve +thetao with depth_m spanning 0→mld and compute the mean in python_repl. +``` + +So "surface temperature" → `thetao`, `depth_m=None` +"bottom temperature" → `bottomT`, `depth_m` ignored +"mixed-layer salinity" → agent retrieves `mlotst` first, then `so`, averages in REPL + +--- + +## Catalog (MVP) + +```python +@dataclass(frozen=True) +class CopernicusVariable: + dataset_id: str + var_name: str # internal name in the CMEMS dataset + long_name: str + units: str + has_depth: bool = False +``` + +| key | dataset_id | var_name | has_depth | long_name | +|---|---|---|---|---| +| `thetao` | `cmems_mod_glo_phy_my_0.083deg_P1D-m` | `thetao` | yes | Sea water potential temperature | +| `so` | same | `so` | yes | Sea water salinity | +| `uo` | same | `uo` | yes | Eastward sea water velocity | +| `vo` | same | `vo` | yes | Northward sea water velocity | +| `zos` | same | `zos` | no | Sea surface height above geoid | +| `mlotst` | same | `mlotst` | no | Mixed layer depth (sigma-theta) | +| `siconc` | same | `siconc` | no | Sea ice area fraction | +| `sithick` | same | `sithick` | no | Sea ice thickness | +| `bottomT` | same | `bottomT` | no | Sea floor potential temperature | +| `sla` | `cmems_obs-sl_glo_phy-ssh_my_allsat-l4-duacs-0.25deg_P1D` | `sla` | no | Sea level anomaly | +| `adt` | same | `adt` | no | Absolute dynamic topography | +| `ugos` | same | `ugos` | no | Geostrophic eastward velocity | +| `vgos` | same | `vgos` | no | Geostrophic northward velocity | +| `VHM0` | `cmems_mod_glo_wav_my_0.2deg_PT3H-i` | `VHM0` | no | Significant wave height | +| `VMDR` | same | `VMDR` | no | Mean wave direction | +| `VTM10` | same | `VTM10` | no | Mean wave period | + +Aliases in `COPERNICUS_ALIASES` (local to `eurus/copernicus.py`): +`"temperature" → "thetao"`, `"salinity" → "so"`, `"sea_level" → "zos"`, +`"wave_height" → "VHM0"`, `"mld" → "mlotst"`, `"sea_ice" → "siconc"`, etc. + +--- + +## Files to create / modify + +### New (create) + +**`src/eurus/copernicus.py`** +- `CopernicusVariable` dataclass, `COPERNICUS_CATALOG`, `COPERNICUS_ALIASES` +- `generate_filename()` → `cmems_{var}_{start}_{end}_{region_tag}.zarr` +- `retrieve_copernicus_data(variable_id, start_date, end_date, min/max lat/lon, depth_m, region)` → `str` + - Resolve alias → catalog lookup → `dataset_id`, `var_name`, `has_depth` + - Cache check (same pattern as `retrieval.py`) + - `cm.open_dataset(dataset_id=..., variables=[var_name], ..., service="arco")` + - If `has_depth`: pass `minimum_depth=depth_m or 0.5, maximum_depth=depth_m or 0.5` + - `.load()`, size guard, `.to_zarr()`, `memory.register_dataset()`, return success string + - No explicit credential check — let toolbox fail naturally + +**`src/eurus/tools/copernicus.py`** +- `CopernicusRetrievalArgs` Pydantic schema +- Thin wrapper → `retrieve_copernicus_data` +- `copernicus_tool = StructuredTool.from_function(...)` + +### Modified + +**`src/eurus/tools/__init__.py`** +- Replace `era5_tool` import with `copernicus_tool`; swap in `get_all_tools()` +- ERA5 import left commented out for easy revert + +**`src/eurus/config.py`** +- Replace ERA5 variable table in `AGENT_SYSTEM_PROMPT` with Copernicus variables + depth_m semantics +- Keep everything else (regions, style rules, etc.) unchanged + +**`pyproject.toml`** +- `[project.optional-dependencies]` → `copernicus = ["copernicusmarine>=1.0.0"]` + +### Untouched (kept, just unwired) + +`src/eurus/retrieval.py`, `src/eurus/tools/era5.py` diff --git a/plans/copernicus-backend.md b/plans/copernicus-backend.md new file mode 100644 index 0000000..a358141 --- /dev/null +++ b/plans/copernicus-backend.md @@ -0,0 +1,151 @@ +# Copernicus Marine Backend + +## Goal + +Add a second data retrieval backend using the [Copernicus Marine Toolbox](https://toolbox-docs.marine.copernicus.eu/en/stable/) +(`copernicusmarine` pip package). This gives the agent access to CMEMS ocean +reanalysis products (GLORYS12, DUACS altimetry, wave models, etc.) that are +not in the Earthmover/ERA5 archive. + +_feedback_: + +--- + +## How the toolbox works + +```python +import copernicusmarine as cm + +ds = cm.open_dataset( + dataset_id="cmems_mod_glo_phy_my_0.083deg_P1D-m", + variables=["thetao", "so"], + minimum_longitude=-30.0, + maximum_longitude=10.0, + minimum_latitude=20.0, + maximum_latitude=60.0, + start_datetime="2020-01-01", + end_datetime="2020-12-31", + minimum_depth=0.5, + maximum_depth=0.5, # surface only +) +# ds is a lazy xarray.Dataset — call .load() then .to_zarr() to cache +``` + +**Credentials** are resolved in order: +1. Env vars `COPERNICUSMARINE_SERVICE_USERNAME` / `COPERNICUSMARINE_SERVICE_PASSWORD` +2. Credentials file at `~/.copernicusmarine` (created by `cm.login()`) +3. Explicit `username=` / `password=` params + +_feedback_: + +For now, just assume the user ran copernicusmarine login on their shell once. + +In the example aboce, note that chunking (set via service=) kwarg is essential to get problem-adapted chunking. + +--- + +## Proposed hard-coded catalog + +The `dataset_id` is the only tricky part — we map user-friendly variable names +to the right CMEMS product. For now, hard-code the catalog; `cm.describe()` can +be added later for dynamic discovery. + +| User variable | `dataset_id` | Internal var | Has depth | Notes | +|---|---|---|---|---| +| `thetao` | `cmems_mod_glo_phy_my_0.083deg_P1D-m` | `thetao` | yes | GLORYS12 reanalysis | +| `so` | same | `so` | yes | Salinity | +| `uo` | same | `uo` | yes | Eastward current | +| `vo` | same | `vo` | yes | Northward current | +| `zos` | same | `zos` | no | Sea surface height | +| `mlotst` | same | `mlotst` | no | Mixed layer depth | +| `siconc` | same | `siconc` | no | Sea ice concentration | +| `sithick` | same | `sithick` | no | Sea ice thickness | +| `bottomT` | same | `bottomT` | no | Sea floor temperature | +| `sla` | `cmems_obs-sl_glo_phy-ssh_my_allsat-l4-duacs-0.25deg_P1D` | `sla` | no | Altimetry SLA | +| `adt` | same | `adt` | no | Absolute dynamic topo | +| `ugos` | same | `ugos` | no | Geostrophic current E | +| `vgos` | same | `vgos` | no | Geostrophic current N | +| `VHM0` | `cmems_mod_glo_wav_my_0.2deg_PT3H-i` | `VHM0` | no | Significant wave height | +| `VMDR` | same | `VMDR` | no | Mean wave direction | +| `VTM10` | same | `VTM10` | no | Mean wave period | + +GLORYS12 covers 1993–present (with a ~1 month interim lag). DUACS covers +1993–present. WAVERYS covers 1993–present. + +_feedback_: + +Good start. I just want to get an MVP up quickly. + +--- + +## Files to create / modify + +### New files + +**`src/eurus/backends/__init__.py`** — empty package marker + +**`src/eurus/backends/copernicus.py`** — core retrieval: +- `COPERNICUS_CATALOG` dataclass + dict (table above) +- `generate_filename()` — `cmems_{var}_{start}_{end}_{region_tag}.zarr` +- `retrieve_copernicus_data(variable_id, start_date, end_date, min/max lat/lon, depth_m, region)` → `str` + - Checks creds (`COPERNICUSMARINE_SERVICE_USERNAME` present) + - Looks up `variable_id` in catalog → gets `dataset_id`, internal var name + - Checks local Zarr cache (same pattern as ERA5) + - Calls `cm.open_dataset(...)`, selects nearest depth if `has_depth=True` + - Validates non-empty, checks size guard + - Saves to Zarr, registers in `MemoryManager`, returns success string + +**`src/eurus/tools/copernicus.py`** — LangChain StructuredTool: +- `CopernicusRetrievalArgs` (Pydantic schema): `variable_id`, `start_date`, `end_date`, `min/max lat/lon`, `depth_m` (optional, default surface), `region` (optional) +- Thin wrapper calling `retrieve_copernicus_data` +- `copernicus_tool = StructuredTool.from_function(...)` + +### Modified files + +**`src/eurus/tools/__init__.py`** +- Import `copernicus_tool` +- Add it to `get_all_tools()` list (always enabled; graceful ImportError if `copernicusmarine` not installed) + +**`pyproject.toml`** +- Add optional dep group `[project.optional-dependencies]` entry `copernicus = ["copernicusmarine>=1.0.0"]` + +**`src/eurus/config.py`** (minimal) +- Possibly add `COPERNICUSMARINE_SERVICE_USERNAME` / `PASSWORD` to documented env vars (comment only) + +_feedback_: + +is backend submod really the way to go. How is era5 currently wired? And hos is arraylake wired? Let's look at structure of this first. --> Create some sequence diagram for what happens when a user prompts which highlights how credentials and arraylake are used? And let's create a flow chart or class diag or entity rel diag (whatever works best) for understanding modules? (mermaid.) Then we decide. + +--- + +## Open questions / things to discuss + +1. **Depth handling** — default to surface (nearest to 0.5 m)? Or always require the user / agent to specify? Exposing `depth_m` as an optional tool param seems right; default `None` → surface. + +_feedback_: + +How's the LLM part wired to understand things like "surface temperature", "bottom temperature", "mixed-layer average oxygen" etc. ? + +2. **Interim dataset fallback** — GLORYS12 has two IDs: `my` (multi-year, stable reanalysis) and `myint` (interim, near-present, updated weekly). Should we automatically try `myint` if `my` returns empty data for recent dates? Or just document that `myint` is the variant to use for recent data and let the agent pick? + +_feedback_: + +Long term: Wire them together. They extend each other. For now, use my for first tests / MVP. + +3. **Variable aliases** — Add Copernicus vars to the existing `VARIABLE_ALIASES` in `config.py`, or keep a separate alias table in the backend? Separate is cleaner since they're a different namespace. + +_feedback_: + +Tell me how this is done for ERA currently first. + +4. **System prompt** — The `AGENT_SYSTEM_PROMPT` in `config.py` currently only mentions ERA5. We'll need to add a Copernicus section documenting available variables, the `retrieve_copernicus_data` tool, and the `depth_m` param. Defer until after wiring works? + +_feedback_: + +Adapt soon so we can test wiring in a real session. Note I don't want a good final desing of the internals. Quik / dirty MVP to see _that_ this works is fine. + +5. **Credential error message** — Should we surface a helpful URL to the Copernicus registration page when the creds env vars are missing? + +_feedback_: + +Just fail. See above. \ No newline at end of file diff --git a/pyproject.toml b/pyproject.toml index 76d00d9..f02a62f 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -67,6 +67,9 @@ web = [ "python-multipart>=0.0.6", "websockets>=12.0", ] +copernicus = [ + "copernicusmarine>=2.0.0", +] dev = [ "pytest>=7.0.0", "pytest-asyncio>=0.21.0", @@ -146,3 +149,22 @@ exclude_lines = [ "raise AssertionError", "raise NotImplementedError", ] + +[tool.pixi.workspace] +channels = ["conda-forge"] +platforms = ["osx-arm64"] + +[tool.pixi.pypi-dependencies] +eurus = { path = ".", editable = true } + +[tool.pixi.environments] +default = { solve-group = "default" } +agent = { features = ["agent"], solve-group = "default" } +copernicus = { features = ["copernicus"], solve-group = "default" } +# Combined env for testing Copernicus backend via the agent +test-copernicus = { features = ["agent", "copernicus"], solve-group = "default" } +dev = { features = ["dev"], solve-group = "default" } +docs = { features = ["docs"], solve-group = "default" } +web = { features = ["web"], solve-group = "default" } + +[tool.pixi.tasks] diff --git a/src/eurus/config.py b/src/eurus/config.py index 44a983d..8f6122e 100644 --- a/src/eurus/config.py +++ b/src/eurus/config.py @@ -574,52 +574,48 @@ class AgentConfig: ## YOUR CAPABILITIES -### 1. DATA RETRIEVAL: `retrieve_era5_data` -Downloads ERA5 reanalysis data from Earthmover's cloud-optimized archive. - -**⚠️ STRICT QUERY TYPE RULE (WRONG = 10-100x SLOWER!):** -┌─────────────────────────────────────────────────────────────────┐ -│ TEMPORAL: (time > 1 day) AND (area < 30°×30°) │ -│ SPATIAL: (time ≤ 1 day) OR (area ≥ 30°×30°) │ -└─────────────────────────────────────────────────────────────────┘ - -**COORDINATES - USE ROUTE BOUNDING BOX:** -- Latitude: -90 to 90 -- Longitude: Use values from route tool's bounding box DIRECTLY! - - For Europe/Atlantic: Use -10 to 15 (NOT 0 to 360!) - - For Pacific crossing dateline: Use 0-360 system - -**⚠️ CRITICAL:** When `calculate_maritime_route` returns a bounding box, -USE THOSE EXACT VALUES for min/max longitude. Do NOT convert to 0-360! - -**DATA AVAILABILITY:** 1975 to present (updated regularly) - -**Available Variables (22 total):** -| Variable | Description | Units | Category | -|----------|-------------|-------|----------| -| sst | Sea Surface Temperature | K | Ocean | -| t2 | 2m Air Temperature | K | Temperature | -| d2 | 2m Dewpoint Temperature | K | Temperature | -| skt | Skin Temperature | K | Surface | -| u10 | 10m U-Wind (Eastward) | m/s | Wind | -| v10 | 10m V-Wind (Northward) | m/s | Wind | -| u100 | 100m U-Wind (Eastward) | m/s | Wind | -| v100 | 100m V-Wind (Northward) | m/s | Wind | -| sp | Surface Pressure | Pa | Pressure | -| mslp | Mean Sea Level Pressure | Pa | Pressure | -| blh | Boundary Layer Height | m | Atmosphere | -| cape | Convective Available Potential Energy | J/kg | Atmosphere | -| tcc | Total Cloud Cover | 0-1 | Cloud | -| cp | Convective Precipitation | m | Precipitation | -| lsp | Large-scale Precipitation | m | Precipitation | -| tp | Total Precipitation | m | Precipitation | -| ssr | Surface Net Solar Radiation | J/m² | Radiation | -| ssrd | Surface Solar Radiation Downwards | J/m² | Radiation | -| tcw | Total Column Water | kg/m² | Moisture | -| tcwv | Total Column Water Vapour | kg/m² | Moisture | -| sd | Snow Depth | m water eq. | Land | -| stl1 | Soil Temperature Level 1 | K | Land | -| swvl1 | Volumetric Soil Water Layer 1 | m³/m³ | Land | +### 1. DATA RETRIEVAL: `retrieve_copernicus_data` +Downloads ocean reanalysis / analysis data from the Copernicus Marine Service (CMEMS). +Coverage: **1993–present**. Coordinates use **-180 to 180** longitude. + +**Available Variables:** + +GLORYS12 Global Ocean Physics Reanalysis (daily, 1/12° grid): +| Variable | Description | Units | Notes | +|----------|-------------|-------|-------| +| thetao | Sea water potential temperature | °C | Has depth dimension | +| so | Sea water salinity | PSU | Has depth dimension | +| uo | Eastward current velocity | m/s | Has depth dimension | +| vo | Northward current velocity | m/s | Has depth dimension | +| zos | Sea surface height above geoid | m | Surface only | +| mlotst | Mixed layer depth (sigma-theta) | m | Surface only | +| siconc | Sea ice area fraction | 0-1 | Surface only | +| sithick | Sea ice thickness | m | Surface only | +| bottomT | Sea floor potential temperature | °C | Surface only | + +DUACS Altimetry — multi-mission merged (daily, 1/4° grid): +| Variable | Description | Units | +|----------|-------------|-------| +| sla | Sea level anomaly | m | +| adt | Absolute dynamic topography | m | +| ugos | Geostrophic eastward velocity | m/s | +| vgos | Geostrophic northward velocity | m/s | + +WAVERYS Wave Reanalysis (3-hourly, 1/5° grid): +| Variable | Description | Units | +|----------|-------------|-------| +| VHM0 | Significant wave height | m | +| VMDR | Mean wave direction | ° | +| VTM10 | Mean wave period | s | + +**Depth handling (for thetao, so, uo, vo):** +- `depth_m=None` → surface (~0.5 m) — use for "surface temperature", "SST" +- `depth_m=200` → 200 m depth +- For **bottom temperature**: use `variable='bottomT'` (no depth_m needed) +- For **mixed-layer averages**: retrieve `mlotst` for the depth, then use `python_repl` to integrate + +**Common aliases accepted:** `temperature`, `salinity`, `mld`, `wave_height`, +`sea_level`, `sea_ice`, `bottom_temperature`, `geostrophic_u`, `geostrophic_v` ### 2. CUSTOM ANALYSIS: `python_repl` Persistent Python kernel for custom analysis and visualization. diff --git a/src/eurus/copernicus.py b/src/eurus/copernicus.py new file mode 100644 index 0000000..3b99e13 --- /dev/null +++ b/src/eurus/copernicus.py @@ -0,0 +1,399 @@ +""" +Copernicus Marine Data Retrieval +================================= + +Retrieves ocean reanalysis / analysis data from the Copernicus Marine Service +using the copernicusmarine Python toolbox. + +Credentials: assumes `copernicusmarine login` has been run once in the shell, +which writes ~/.copernicusmarine. No explicit credential handling here. +""" + +from __future__ import annotations + +import logging +import os +import shutil +import time +from dataclasses import dataclass +from datetime import datetime +from pathlib import Path +from typing import Optional + +from eurus.config import get_data_dir, get_region +from eurus.memory import get_memory + +logger = logging.getLogger(__name__) + + +# ============================================================================= +# VARIABLE CATALOG +# ============================================================================= + +@dataclass(frozen=True) +class CopernicusVariable: + dataset_id: str + var_name: str # internal name inside the CMEMS dataset + long_name: str + units: str + has_depth: bool = False + + +_GLORYS = "cmems_mod_glo_phy_my_0.083deg_P1D-m" +_DUACS = "cmems_obs-sl_glo_phy-ssh_my_allsat-l4-duacs-0.25deg_P1D" +_WAVES = "cmems_mod_glo_wav_my_0.2deg_PT3H-i" + +COPERNICUS_CATALOG: dict[str, CopernicusVariable] = { + # ── GLORYS12 physics reanalysis ──────────────────────────────────────── + "thetao": CopernicusVariable(_GLORYS, "thetao", "Sea water potential temperature", "°C", has_depth=True), + "so": CopernicusVariable(_GLORYS, "so", "Sea water salinity", "PSU", has_depth=True), + "uo": CopernicusVariable(_GLORYS, "uo", "Eastward sea water velocity", "m/s", has_depth=True), + "vo": CopernicusVariable(_GLORYS, "vo", "Northward sea water velocity", "m/s", has_depth=True), + "zos": CopernicusVariable(_GLORYS, "zos", "Sea surface height above geoid", "m"), + "mlotst": CopernicusVariable(_GLORYS, "mlotst", "Mixed layer depth (sigma-theta)", "m"), + "siconc": CopernicusVariable(_GLORYS, "siconc", "Sea ice area fraction", "1"), + "sithick": CopernicusVariable(_GLORYS, "sithick", "Sea ice thickness", "m"), + "bottomT": CopernicusVariable(_GLORYS, "bottomT", "Sea floor potential temperature", "°C"), + # ── DUACS altimetry ──────────────────────────────────────────────────── + "sla": CopernicusVariable(_DUACS, "sla", "Sea level anomaly", "m"), + "adt": CopernicusVariable(_DUACS, "adt", "Absolute dynamic topography", "m"), + "ugos": CopernicusVariable(_DUACS, "ugos", "Geostrophic eastward velocity", "m/s"), + "vgos": CopernicusVariable(_DUACS, "vgos", "Geostrophic northward velocity", "m/s"), + # ── WAVERYS wave reanalysis ──────────────────────────────────────────── + "VHM0": CopernicusVariable(_WAVES, "VHM0", "Significant wave height", "m"), + "VMDR": CopernicusVariable(_WAVES, "VMDR", "Mean wave direction", "°"), + "VTM10": CopernicusVariable(_WAVES, "VTM10", "Mean wave period", "s"), +} + +COPERNICUS_ALIASES: dict[str, str] = { + # temperature + "temperature": "thetao", + "ocean_temperature": "thetao", + "sea_temperature": "thetao", + "potential_temperature": "thetao", + # salinity + "salinity": "so", + "ocean_salinity": "so", + # currents + "u_current": "uo", + "v_current": "vo", + "eastward_velocity": "uo", + "northward_velocity": "vo", + # sea level + "sea_level": "zos", + "ssh": "zos", + "sea_surface_height": "zos", + "sea_level_anomaly": "sla", + "absolute_dynamic_topography": "adt", + # mixed layer + "mld": "mlotst", + "mixed_layer_depth": "mlotst", + # sea ice + "sea_ice": "siconc", + "ice_concentration": "siconc", + "ice_thickness": "sithick", + # bottom + "bottom_temperature": "bottomT", + # waves + "wave_height": "VHM0", + "significant_wave_height": "VHM0", + "wave_direction": "VMDR", + "wave_period": "VTM10", + # geostrophic + "geostrophic_u": "ugos", + "geostrophic_v": "vgos", +} + + +def resolve_variable(variable_id: str) -> Optional[CopernicusVariable]: + """Return CopernicusVariable for a user-supplied name (alias-aware).""" + key = COPERNICUS_ALIASES.get(variable_id.lower(), variable_id) + return COPERNICUS_CATALOG.get(key) + + +def list_available_variables() -> str: + lines = ["Available Copernicus Marine Variables:", "=" * 60] + for key, v in COPERNICUS_CATALOG.items(): + depth_tag = " [has depth]" if v.has_depth else "" + lines.append(f" {key:10} | {v.long_name:42} | {v.units}{depth_tag}") + return "\n".join(lines) + + +# ============================================================================= +# FILENAME HELPERS +# ============================================================================= + +def _fmt(value: float) -> str: + if abs(value) < 0.005: + value = 0.0 + return f"{value:.2f}" + + +def generate_filename( + variable: str, + start: str, + end: str, + min_latitude: float, + max_latitude: float, + min_longitude: float, + max_longitude: float, + depth_m: Optional[float], + region: Optional[str] = None, +) -> str: + clean_var = variable.replace("_", "").lower() + clean_start = start.replace("-", "") + clean_end = end.replace("-", "") + depth_tag = f"_d{depth_m:.0f}m" if depth_m is not None else "_fullcolumn" + if region: + geo_tag = region.lower() + else: + geo_tag = ( + f"lat{_fmt(min_latitude)}_{_fmt(max_latitude)}" + f"_lon{_fmt(min_longitude)}_{_fmt(max_longitude)}" + ) + return f"cmems_{clean_var}_{clean_start}_{clean_end}_{geo_tag}{depth_tag}.zarr" + + +def format_file_size(size_bytes: int) -> str: + for unit in ["B", "KB", "MB", "GB"]: + if size_bytes < 1024: + return f"{size_bytes:.2f} {unit}" + size_bytes /= 1024 + return f"{size_bytes:.2f} TB" + + +# ============================================================================= +# RETRIEVAL +# ============================================================================= + +def retrieve_copernicus_data( + variable_id: str, + start_date: str, + end_date: str, + min_latitude: float = -90.0, + max_latitude: float = 90.0, + min_longitude: float = -180.0, + max_longitude: float = 180.0, + depth_m: Optional[float] = None, + region: Optional[str] = None, +) -> str: + """ + Retrieve Copernicus Marine data and cache it locally as Zarr. + + Args: + variable_id: Variable name or alias (e.g. "thetao", "temperature", "VHM0"). + start_date: YYYY-MM-DD + end_date: YYYY-MM-DD + min_latitude: Southern bound + max_latitude: Northern bound + min_longitude: Western bound (-180 to 180) + max_longitude: Eastern bound (-180 to 180) + depth_m: Depth in metres for 3-D variables (None = surface ~0.5 m). + Ignored for variables without a depth dimension. + region: Optional predefined region name (overrides lat/lon). + + Returns: + Success message with local file path, or error string. + """ + memory = get_memory() + + # Dependency check + try: + import copernicusmarine as cm + except ImportError: + return ( + "Error: 'copernicusmarine' is not installed.\n" + "Install with: pip install copernicusmarine" + ) + + try: + import xarray as xr + except ImportError: + return "Error: 'xarray' is not installed.\nInstall with: pip install xarray" + + # Apply region bounds + region_tag = None + if region: + region_info = get_region(region) + if region_info: + min_latitude = region_info.min_lat + max_latitude = region_info.max_lat + # Regions are stored in 0-360; convert to -180/180 for Copernicus + min_longitude = region_info.min_lon if region_info.min_lon <= 180 else region_info.min_lon - 360 + max_longitude = region_info.max_lon if region_info.max_lon <= 180 else region_info.max_lon - 360 + region_tag = region.lower() + logger.info("Using region '%s'", region) + else: + logger.warning("Unknown region '%s', using provided coordinates", region) + + # Resolve variable + var_info = resolve_variable(variable_id) + if var_info is None: + return ( + f"Error: Variable '{variable_id}' not found in Copernicus catalog.\n\n" + f"{list_available_variables()}" + ) + var_key = COPERNICUS_ALIASES.get(variable_id.lower(), variable_id) + + # Depth only applies to 3-D variables + effective_depth = depth_m if var_info.has_depth else None + + # Cache check + output_dir = get_data_dir() + filename = generate_filename( + var_key, start_date, end_date, + min_latitude, max_latitude, + min_longitude, max_longitude, + effective_depth, region_tag, + ) + local_path = str(output_dir / filename) + + if os.path.exists(local_path): + existing = memory.get_dataset(local_path) + if existing: + logger.info("Cache hit: %s", local_path) + return ( + f"CACHE HIT - Data already downloaded\n" + f" Variable: {var_key} ({var_info.long_name})\n" + f" Period: {existing.start_date} to {existing.end_date}\n" + f" Path: {local_path}\n\n" + f"Load with: ds = xr.open_dataset('{local_path}', engine='zarr')" + ) + else: + try: + file_size = sum(f.stat().st_size for f in Path(local_path).rglob("*") if f.is_file()) + memory.register_dataset( + path=local_path, + variable=var_key, + query_type="copernicus", + start_date=start_date, + end_date=end_date, + lat_bounds=(min_latitude, max_latitude), + lon_bounds=(min_longitude, max_longitude), + file_size_bytes=file_size, + ) + except Exception as exc: + logger.warning("Could not register existing dataset: %s", exc) + return ( + f"CACHE HIT - Found existing data\n" + f" Variable: {var_key}\n" + f" Path: {local_path}\n\n" + f"Load with: ds = xr.open_dataset('{local_path}', engine='zarr')" + ) + + # Choose service based on query shape (mirrors ERA5 temporal/spatial logic) + req_start = datetime.strptime(start_date, "%Y-%m-%d") + req_end = datetime.strptime(end_date, "%Y-%m-%d") + time_days = (req_end - req_start).days + 1 + area = abs(max_latitude - min_latitude) * abs(max_longitude - min_longitude) + service = "arco-time-series" if (time_days > 1 and area < 900) else "arco-geo-series" + logger.info("Auto-selected service=%s (time=%dd, area=%.0f sq°)", service, time_days, area) + + # Build open_dataset kwargs + kwargs: dict = dict( + dataset_id = var_info.dataset_id, + variables = [var_info.var_name], + minimum_longitude = min_longitude, + maximum_longitude = max_longitude, + minimum_latitude = min_latitude, + maximum_latitude = max_latitude, + start_datetime = start_date, + end_datetime = end_date, + service = service, + ) + if var_info.has_depth and effective_depth is not None: + kwargs["minimum_depth"] = effective_depth + kwargs["maximum_depth"] = effective_depth + + # Download with retry + for attempt in range(3): + try: + logger.info("Connecting to Copernicus Marine (attempt %d)...", attempt + 1) + ds = cm.open_dataset(**kwargs) + + # Validate non-empty + if ds.dims.get("time", 0) == 0: + return ( + f"Error: No data returned for the requested time range " + f"({start_date} to {end_date}).\n" + f"Check data availability for dataset '{var_info.dataset_id}'." + ) + + # Size guard + import numpy as np # noqa: F401 (ensure numpy available in scope) + estimated_gb = ds.nbytes / (1024 ** 3) + if estimated_gb > 15.0: + return ( + f"Error: Estimated download size ({estimated_gb:.1f} GB) exceeds the 15 GB limit.\n" + f"Try narrowing the time range or spatial area." + ) + if estimated_gb > 1.0: + logger.info("Large download (%.1f GB) — this may take a while...", estimated_gb) + + # Clear encoding, add metadata + for var in ds.variables: + ds[var].encoding = {} + ds.attrs["source"] = f"Copernicus Marine Service — {var_info.dataset_id}" + ds.attrs["download_date"] = datetime.now().isoformat() + if var_info.has_depth and effective_depth is not None: + ds.attrs["depth_m"] = effective_depth + + # Save + if os.path.exists(local_path): + shutil.rmtree(local_path) + + logger.info("Saving to %s ...", local_path) + t0 = time.time() + ds.to_zarr(local_path, mode="w", consolidated=True) + elapsed = time.time() - t0 + + file_size = sum(f.stat().st_size for f in Path(local_path).rglob("*") if f.is_file()) + shape = tuple(ds[var_info.var_name].shape) + + memory.register_dataset( + path = local_path, + variable = var_key, + query_type = "copernicus", + start_date = start_date, + end_date = end_date, + lat_bounds = (min_latitude, max_latitude), + lon_bounds = (min_longitude, max_longitude), + file_size_bytes= file_size, + shape = shape, + ) + + result = ( + f"SUCCESS - Data downloaded\n{'=' * 50}\n" + f" Variable: {var_key} ({var_info.long_name})\n" + f" Units: {var_info.units}\n" + f" Period: {start_date} to {end_date}\n" + f" Shape: {shape}\n" + f" Size: {format_file_size(file_size)}\n" + f" Time: {elapsed:.1f}s\n" + f" Path: {local_path}\n" + f"{'=' * 50}\n\n" + f"Load with:\n" + f" ds = xr.open_dataset('{local_path}', engine='zarr')" + ) + return result + + except Exception as exc: + logger.error("Attempt %d failed: %s", attempt + 1, exc) + if os.path.exists(local_path): + shutil.rmtree(local_path, ignore_errors=True) + if attempt < 2: + wait = 2.0 * (2 ** attempt) + logger.info("Retrying in %.1fs...", wait) + time.sleep(wait) + else: + return ( + f"Error: Failed after 3 attempts.\n" + f"Last error: {exc}\n\n" + f"Troubleshooting:\n" + f"1. Run 'copernicusmarine login' in your shell if not done already\n" + f"2. Check your internet connection\n" + f"3. Try a smaller date range or region\n" + f"4. Verify variable '{var_key}' is available for dataset '{var_info.dataset_id}'" + ) + + return "Error: Unexpected failure in retrieval logic." diff --git a/src/eurus/logging_config.py b/src/eurus/logging_config.py index 1c27119..67473d5 100644 --- a/src/eurus/logging_config.py +++ b/src/eurus/logging_config.py @@ -66,13 +66,6 @@ def setup_logging(mode: str = "web", level: int = logging.DEBUG) -> logging.Logg console_handler.setFormatter(console_formatter) root_logger.addHandler(console_handler) - # Log startup info - logger = logging.getLogger("eurus.logging") - logger.info(f"=" * 80) - logger.info(f"EURUS {mode.upper()} STARTING") - logger.info(f"Log file: {log_file}") - logger.info(f"=" * 80) - # Reduce noise from external libraries logging.getLogger("httpx").setLevel(logging.WARNING) logging.getLogger("httpcore").setLevel(logging.WARNING) diff --git a/src/eurus/tools/__init__.py b/src/eurus/tools/__init__.py index 1c06fd2..250acf4 100644 --- a/src/eurus/tools/__init__.py +++ b/src/eurus/tools/__init__.py @@ -14,7 +14,8 @@ from langchain_core.tools import BaseTool # Import core tools -from .era5 import era5_tool +# from .era5 import era5_tool # ERA5/Arraylake backend (unwired for Copernicus MVP) +from .copernicus import copernicus_tool from .repl import PythonREPLTool from .routing import routing_tool from .analysis_guide import analysis_guide_tool, visualization_guide_tool @@ -43,7 +44,7 @@ def get_all_tools( """ # Core tools: data retrieval + Python analysis tools = [ - era5_tool, + copernicus_tool, PythonREPLTool(working_dir=".") ] @@ -57,7 +58,7 @@ def get_all_tools( if HAS_ROUTING_DEPS: tools.append(routing_tool) else: - print("WARNING: Routing tools requested but dependencies (scgraph) are missing.") + pass # scgraph not installed; routing silently unavailable return tools diff --git a/src/eurus/tools/copernicus.py b/src/eurus/tools/copernicus.py new file mode 100644 index 0000000..d77be65 --- /dev/null +++ b/src/eurus/tools/copernicus.py @@ -0,0 +1,121 @@ +""" +Copernicus Marine Retrieval Tool (LangChain wrapper) +===================================================== +Thin wrapper over eurus.copernicus.retrieve_copernicus_data. +""" + +from __future__ import annotations + +import logging +from datetime import datetime +from typing import Optional + +from pydantic import BaseModel, Field, field_validator +from langchain_core.tools import StructuredTool + +from ..copernicus import retrieve_copernicus_data as _retrieve, list_available_variables + +logger = logging.getLogger(__name__) + + +class CopernicusRetrievalArgs(BaseModel): + variable_id: str = Field( + description=( + "Copernicus Marine variable. Available variables:\n" + "GLORYS12 reanalysis (1993-present, daily):\n" + " thetao — Sea water potential temperature (°C) [has depth]\n" + " so — Sea water salinity (PSU) [has depth]\n" + " uo — Eastward current (m/s) [has depth]\n" + " vo — Northward current (m/s) [has depth]\n" + " zos — Sea surface height (m)\n" + " mlotst — Mixed layer depth (m)\n" + " siconc — Sea ice concentration (0-1)\n" + " sithick — Sea ice thickness (m)\n" + " bottomT — Sea floor temperature (°C)\n" + "DUACS altimetry (1993-present, daily):\n" + " sla — Sea level anomaly (m)\n" + " adt — Absolute dynamic topography (m)\n" + " ugos — Geostrophic eastward velocity (m/s)\n" + " vgos — Geostrophic northward velocity (m/s)\n" + "WAVERYS waves (1993-present, 3-hourly):\n" + " VHM0 — Significant wave height (m)\n" + " VMDR — Mean wave direction (°)\n" + " VTM10 — Mean wave period (s)\n" + "Common aliases accepted: 'temperature', 'salinity', 'mld', " + "'wave_height', 'sea_level', 'sea_ice', 'bottom_temperature'." + ) + ) + + start_date: str = Field(description="Start date YYYY-MM-DD (data available from 1993-01-01)") + end_date: str = Field(description="End date YYYY-MM-DD") + + min_latitude: float = Field(ge=-90.0, le=90.0, description="Southern bound (-90 to 90)") + max_latitude: float = Field(ge=-90.0, le=90.0, description="Northern bound (-90 to 90)") + min_longitude: float = Field(ge=-180.0, le=180.0, description="Western bound (-180 to 180)") + max_longitude: float = Field(ge=-180.0, le=180.0, description="Eastern bound (-180 to 180)") + + depth_m: Optional[float] = Field( + default=None, + ge=0.0, + description=( + "Depth in metres for 3-D variables (thetao, so, uo, vo). " + "None = full water column (all depth levels). " + "Use 0.5 to retrieve only the surface layer (~0.5 m). " + "Ignored for 2-D variables. " + "For bottom temperature use variable='bottomT' instead. " + "For mixed-layer averages retrieve mlotst first, then use python_repl." + ) + ) + + region: Optional[str] = Field( + default=None, + description="Optional predefined region name (overrides lat/lon). E.g. 'north_atlantic', 'mediterranean'." + ) + + @field_validator("start_date", "end_date") + @classmethod + def validate_date(cls, v: str) -> str: + try: + datetime.strptime(v, "%Y-%m-%d") + except ValueError: + raise ValueError(f"Date must be YYYY-MM-DD, got: {v}") + return v + + +def _run( + variable_id: str, + start_date: str, + end_date: str, + min_latitude: float, + max_latitude: float, + min_longitude: float, + max_longitude: float, + depth_m: Optional[float] = None, + region: Optional[str] = None, +) -> str: + return _retrieve( + variable_id = variable_id, + start_date = start_date, + end_date = end_date, + min_latitude = min_latitude, + max_latitude = max_latitude, + min_longitude = min_longitude, + max_longitude = max_longitude, + depth_m = depth_m, + region = region, + ) + + +copernicus_tool = StructuredTool.from_function( + func = _run, + name = "retrieve_copernicus_data", + description = ( + "Retrieve ocean reanalysis / analysis data from the Copernicus Marine Service (CMEMS).\n\n" + "Covers 1993-present. Datasets: GLORYS12 physics reanalysis, DUACS altimetry, WAVERYS waves.\n\n" + "Provide variable_id, date range, and bounding box. " + "For depth variables (thetao, so, uo, vo): depth_m=None retrieves the full water column; " + "use depth_m=0.5 for surface only, or specify a depth in metres for a single level. " + "Returns local Zarr file path. Load with: xr.open_dataset('PATH', engine='zarr')" + ), + args_schema = CopernicusRetrievalArgs, +)