Adriano
71da162e1f
Container FastAPI separato (Dockerfile.vision, python:3.13-slim) che espone run_graph/engine_version del Task 2 via POST /run e GET /health, cosi' l'immagine del server principale non importa mai VisionSuite. engine_version() ora legge VISION_ENGINE_VERSION se impostata, altrimenti ricade su git rev-parse nel checkout di sviluppo, e non inventa mai un valore: senza nessuna delle due solleva un errore esplicito. Nel container il fallback a git non puo' funzionare (.git del submodule punta fuori dal build context), quindi Dockerfile.vision prende il commit come build arg e lo fissa in ambiente; i compose file lo passano da VISION_ENGINE_VERSION. Nessuna porta pubblicata e nessuna label Traefik sul servizio vision: e' raggiungibile solo dal server, su tmflow-net. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_014BBnuACZSCJqXrMYC3LUMU
92 lines
3.1 KiB
Python
92 lines
3.1 KiB
Python
"""The worker is a thin shell: it receives an image and a graph, and answers
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with numbers."""
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import io
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import json
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import pytest
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# Same reasoning as src/vision/tests/test_runner.py: the vision tree (and
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# therefore this worker, which imports src.vision.runner) requires Python
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# >=3.13. This must run before `import numpy` / `from src.vision_worker.main
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# import app` so that `uv run pytest` on the default 3.11 environment reports
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# this module as skipped, with a reason, instead of erroring out of
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# collection.
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pytest.importorskip(
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"visionsuite.task",
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reason=(
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"the vision tree requires Python >=3.13 (vs-task/vs-measure/vs-pm2d "
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"declare it upstream); run it with "
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"`uv run --python 3.13 --extra vision --extra dev pytest "
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"src/vision_worker/tests`"
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),
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)
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import numpy as np
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from httpx import ASGITransport, AsyncClient
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from PIL import Image
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from src.vision_worker.main import app
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def a_disc_png(radius: int = 60, size: int = 400) -> bytes:
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image = np.zeros((size, size), dtype=np.uint8)
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yy, xx = np.ogrid[:size, :size]
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centre = size // 2
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image[(yy - centre) ** 2 + (xx - centre) ** 2 <= radius ** 2] = 255
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buffer = io.BytesIO()
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Image.fromarray(image).save(buffer, format="PNG")
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return buffer.getvalue()
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def a_circle_graph() -> dict:
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from visionsuite.task import Task
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from visionsuite.task.tools import DetectCircleTool, DiameterTool
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task = Task(name="prova")
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found = task.add(DetectCircleTool(name="disco"))
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found.center_row, found.center_col, found.radius = 200.0, 200.0, 60.0
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found.scan_size = 30.0
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quota = task.add(DiameterTool(name="diametro"))
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quota.link("circle", found, "circle")
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return task.to_dict()
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@pytest.mark.asyncio
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async def test_health_says_which_engine_it_carries():
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transport = ASGITransport(app=app)
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async with AsyncClient(transport=transport, base_url="http://worker") as client:
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response = await client.get("/health")
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assert response.status_code == 200
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assert len(response.json()["engine_version"]) == 40
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@pytest.mark.asyncio
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async def test_run_returns_the_named_outputs():
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transport = ASGITransport(app=app)
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async with AsyncClient(transport=transport, base_url="http://worker") as client:
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response = await client.post(
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"/run",
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files={"image": ("piece.png", a_disc_png(), "image/png")},
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data={"graph": json.dumps(a_circle_graph())},
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)
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assert response.status_code == 200
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body = response.json()
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assert body["failures"] == []
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assert any(key.endswith(".diameter") for key in body["outputs"])
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@pytest.mark.asyncio
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async def test_a_malformed_graph_is_refused_not_crashed():
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transport = ASGITransport(app=app)
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async with AsyncClient(transport=transport, base_url="http://worker") as client:
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response = await client.post(
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"/run",
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files={"image": ("piece.png", a_disc_png(), "image/png")},
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data={"graph": json.dumps({"schema_version": 99, "tools": []})},
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)
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assert response.status_code == 422
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assert "99" in response.json()["detail"]
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