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https://github.com/dataforcanada/d4c-service-geo-assistant.git
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Wei Ji
e3373026d6
* Use pydocstyle (D) rule with google convention Add a ruff rule to catch missing documentation. Using google convention so that undocumented-param (D417) rule is enabled to catch missing params, xref https://docs.astral.sh/ruff/rules/undocumented-param. Extended to include D213 (instead of D212) and D410 rules too. * Fix D100 Missing docstring in public module * Fix D101 Missing docstring in public class * Fix D103 Missing docstring in public function Also ignore rule D205 to allow first sentence of docstring to wrap to multiple lines. * Fix D417 Missing argument description in the docstring * Update indent in pyproject.toml file
90 lines
3.2 KiB
Python
90 lines
3.2 KiB
Python
"""Tests for NAIP tool."""
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from types import NoneType
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import pytest
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from geojson_pydantic import Feature
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from langchain_core.tools.base import ToolCall
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from shapely.geometry import box, mapping
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from geo_assistant.agent.state import GeoAssistantState
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from geo_assistant.tools.naip import fetch_naip_img
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@pytest.mark.asyncio
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async def test_fetch_naip():
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"""
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Integration test: hit MPC STAC for NAIP around Union Market (DC),
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load imagery via odc-stac, and save an RGB JPEG.
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NOTE: This test requires:
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- Internet access (to reach Planetary Computer STAC + blobs)
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- Planetary Computer / NAIP service to be up
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"""
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# Union Market coordinates from GeoNames: 38.90789, -76.99831
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# N 38°54'28" W 76°59'54"
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# We'll use a small neighborhood AOI around that point.
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lat = 38.90789
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lon = -76.99831
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# ~0.0001 degrees buffer in each direction
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aoi = box(lon - 0.0001, lat - 0.0001, lon + 0.0001, lat + 0.0001)
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aoi_geojson = mapping(aoi)
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aoi_feature = Feature(type="Feature", geometry=aoi_geojson, properties={})
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tool_call = ToolCall(
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name="fetch_naip_img",
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args={
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"start_date": "2021-01-01",
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"end_date": "2021-12-31",
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"state": GeoAssistantState(search_area=aoi_feature, messages=[]),
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},
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type="tool_call",
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id="test_tool_call_id",
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)
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# Call the actual tool - no STAC / odc-stac mocking
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result = await fetch_naip_img.ainvoke(tool_call)
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assert "naip_img_bytes" in result.update
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assert result.update["naip_img_bytes"] is not None, "Expected JPEG bytes in result"
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assert isinstance(result.update["naip_img_bytes"], str)
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assert len(result.update["naip_img_bytes"]) > 1, "Expected non-empty JPEG bytes"
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@pytest.mark.asyncio
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async def test_fetch_naip_too_large():
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"""
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Integration test: request a larger AOI that should produce an image
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exceeding the 512x512 pixel limit. The tool should return no image
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bytes and include a message indicating it skipped output due to size.
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NOTE: This test requires:
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- Internet access (to reach Planetary Computer STAC + blobs)
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- Planetary Computer / NAIP service to be up
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"""
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# Union Market coordinates from GeoNames: 38.90789, -76.99831
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# N 38°54'28" W 76°59'54"
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# We'll use a small neighborhood AOI around that point.
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lat = 38.90789
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lon = -76.99831
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# ~0.003 degrees buffer in each direction
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aoi = box(lon - 0.003, lat - 0.003, lon + 0.003, lat + 0.003)
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aoi_geojson = mapping(aoi)
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aoi_feature = Feature(type="Feature", geometry=aoi_geojson, properties={})
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tool_call = ToolCall(
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name="fetch_naip_img",
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args={
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"start_date": "2021-01-01",
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"end_date": "2021-12-31",
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"state": GeoAssistantState(search_area=aoi_feature, messages=[]),
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},
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type="tool_call",
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id="test_tool_call_id",
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)
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# Call the actual tool - no STAC / odc-stac mocking
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result = await fetch_naip_img.ainvoke(tool_call)
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assert "naip_img_bytes" in result.update
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assert result.update["naip_img_bytes"] is None, "Expected no JPEG bytes in result"
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assert isinstance(result.update["naip_img_bytes"], NoneType)
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