Kemal Yaylali
3ab404ebe5
From clicking through the redesigned UI: - scoring a case without a model registry painted a red failure across a case that had in fact analysed fine. It is now a quiet note saying the model term contributes 0, because scoring is an optional fourth of the rank, not the analysis. - the MLflow default moves to port 5001. On macOS, AirPlay Receiver owns 5000, which is why the registry answered "403" rather than refusing the connection; docker-compose publishes 5001 to match. - a funnel step that kept nothing drew a visible bar. Zero now draws zero. - "1 candidates". - the funnel's fixed grid columns forced a horizontal scrollbar on the report. The report also lists the top undecided candidates now: the first thing anyone opens has no decisions in it, and "Shortlisted (0)" alone said nothing about what the tool found. Tests: api 77, web 32; ruff, mypy, svelte-check clean.
52 lines
1.4 KiB
YAML
52 lines
1.4 KiB
YAML
services:
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db:
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image: postgres:16-alpine
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environment:
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POSTGRES_USER: rarelens
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POSTGRES_PASSWORD: rarelens
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POSTGRES_DB: rarelens
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ports: ["5432:5432"]
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volumes: [pgdata:/var/lib/postgresql/data]
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healthcheck:
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test: ["CMD-SHELL", "pg_isready -U rarelens"]
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interval: 5s
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retries: 10
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api:
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build: ./api
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environment:
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DATABASE_URL: postgresql+asyncpg://rarelens:rarelens@db:5432/rarelens
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MLFLOW_TRACKING_URI: http://mlflow:5000
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ports: ["8000:8000"]
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depends_on:
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db: { condition: service_healthy }
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volumes: ["./api:/app"]
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command: uvicorn app.main:app --host 0.0.0.0 --port 8000 --reload
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web:
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build:
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context: ./web
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target: build
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environment:
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PUBLIC_API_URL: http://localhost:8000/api
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ports: ["5173:5173"]
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depends_on: [api]
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volumes: ["./web:/app", "/app/node_modules"]
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command: npm run dev -- --host
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mlflow:
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image: ghcr.io/mlflow/mlflow:v3.16.0
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# --artifacts-destination makes the server proxy artifacts over HTTP; a bare local
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# --default-artifact-root would hand clients a /mlruns path only this container can see.
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command: >
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mlflow server --host 0.0.0.0
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--backend-store-uri sqlite:////mlruns/mlflow.db
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--artifacts-destination /mlruns
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# 5001 on the host: macOS AirPlay Receiver owns 5000 and answers 403.
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ports: ["5001:5000"]
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volumes: [mlruns:/mlruns]
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volumes:
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pgdata:
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mlruns:
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