Nicolas
53d415fddb
Une seule feature livree en une seule PR, en 5 phases : - Phase 1 : enrichit le corpus NLP (tech-step-training-data.ts) et ajoute un harness d'evaluation (precision/rappel/F1) avec un jeu de test etiquete - la premiere metrique objective de qualite pour ce classifieur. - Phase 2 : schema Prisma (StepTechStepCorrection, TechStepTrainingSuggestion) + endpoints utilisateur (POST/GET corrections, ouverts a tout viewer, pas seulement l'auteur) + endpoints internes /internal/tech-steps/* proteges par secret partage (requireInternalWorker). - Phase 3 : UI de highlight/correction cote web (selection de texte -> association a une technique, ou clic sur un highlight existant pour le corriger/supprimer) - verifiee via Cypress (component + e2e, en Chrome reel). - Phase 4 : worker LLM autonome (services/tech-step-llm-worker, hors du monorepo pnpm comme experiments/llm-tech-step-poc) qui audite les clauses a faible confiance et transforme les corrections utilisateur en suggestions d'entrainement, sans jamais toucher le chemin interactif. - Phase 5 : script retrain-tech-steps.ts (gate de regression F1 + backfill) et list-pending-training-suggestions.ts pour la revue humaine avant application au corpus. Verification effectuee cette session : tsc/biome sur l'ensemble du repo, build complet (pnpm build), suite Cypress complete (component 39/39, e2e 75/76 - le seul echec est preexistant et sans rapport, cote recipe-form.feature/ingredient-picker), tests unitaires du worker (6/6) et son install/typecheck reels contre node-llama-cpp. Les tests Mocha d'apps/api (Phases 1 et 2) n'ont pas pu etre executes dans cette session (pas de Postgres local disponible) - a lancer avant merge. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
38 lines
1.9 KiB
Docker
38 lines
1.9 KiB
Docker
# Standalone image for services/tech-step-llm-worker — deliberately *not*
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# built as part of apps/api's own Dockerfile/image (see this package's own
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# package.json doc comment): node-llama-cpp's native binding must never be
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# compiled into the API's image, and this worker shares no dependencies or
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# code with it (see api-client.ts's own doc comment on why its types are
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# duplicated rather than imported from @batch-cooking/shared).
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FROM node:22-slim AS base
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# node-llama-cpp's postinstall builds/downloads a native binding — basic
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# build tooling covers the (rare) case a prebuilt binary isn't available
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# for this platform; ca-certificates is needed for the HTTPS download of
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# both that binary and the GGUF model weights (resolveModelFile,
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# llm-verdict.ts).
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RUN apt-get update && apt-get install -y --no-install-recommends python3 make g++ ca-certificates && rm -rf /var/lib/apt/lists/*
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RUN corepack enable
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WORKDIR /worker
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FROM base AS build
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# `pnpm-lock.yaml` is committed for this package (unlike
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# experiments/llm-tech-step-poc, which has none) — `--frozen-lockfile`
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# means a build fails loudly on any drift instead of silently resolving
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# different versions than what's on disk/CI.
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COPY services/tech-step-llm-worker/package.json services/tech-step-llm-worker/pnpm-lock.yaml ./
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RUN pnpm install --ignore-workspace --frozen-lockfile
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COPY services/tech-step-llm-worker/tsconfig.json ./tsconfig.json
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COPY services/tech-step-llm-worker/src ./src
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RUN pnpm exec tsc -p tsconfig.json
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FROM base AS runtime
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ENV NODE_ENV=production
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COPY --from=build /worker/node_modules ./node_modules
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COPY --from=build /worker/package.json ./package.json
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COPY --from=build /worker/dist ./dist
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# GGUF weights download on first run into ./models (see llm-verdict.ts's
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# MODELS_DIRECTORY) — mounted as a named volume in docker-compose.yml so a
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# container restart doesn't re-download several hundred MB to a GB every
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# time.
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VOLUME ["/worker/models"]
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CMD ["node", "dist/index.js"]
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