e88c108010
Implements the acb-enrichment service (plan §13.3) that generates AI commentary for featured matches. Key features: - LLM client (OpenAI/Anthropic API compatible) - Replay fetch from B2/R2 storage - Structured commentary output (key_moments array with turn, description, significance, tags) - Rate limiting to control LLM costs - Match selection based on: - Minimum turn count - Win probability crossings - Upset threshold - Close finishes Components: - cmd/acb-enrichment/main.go - service entry point - cmd/acb-enrichment/config.go - configuration from env vars - cmd/acb-enrichment/service.go - orchestration logic - internal/db/store.go - database access for match selection - internal/llm/client.go - OpenAI-compatible LLM client - internal/selector/selector.go - match selection with priority - internal/generator/generator.go - commentary generation - internal/storage/client.go - S3-compatible storage client - Dockerfile - container image - manifests/acb-enrichment-deployment.yml - K8s deployment - metrics/metrics.go - Prometheus metrics for enrichment Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
77 lines
2.8 KiB
Docker
77 lines
2.8 KiB
Docker
# AI Code Battle Enrichment Container
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# Generates AI commentary for featured match replays.
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# Polls for matches without commentary, downloads replays from B2/R2,
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# generates turn-by-turn narrative highlights via LLM, and stores results.
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# Build stage
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FROM golang:1.25-alpine AS builder
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WORKDIR /build
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# Copy go.mod and go.sum first for caching
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COPY go.mod go.sum ./
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RUN go mod download
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# Copy engine package
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COPY engine/ ./engine/
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COPY metrics/ ./metrics/
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# Copy enrichment source
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COPY cmd/acb-enrichment/ ./cmd/acb-enrichment/
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# Build the binary
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RUN CGO_ENABLED=0 GOOS=linux go build -ldflags="-s -w" -o /acb-enrichment ./cmd/acb-enrichment
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# Runtime stage
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FROM alpine:3.19
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WORKDIR /app
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# Install ca-certificates for HTTPS (LLM API calls, R2/B2 storage)
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RUN apk --no-cache add ca-certificates tzdata
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# Copy binary from builder
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COPY --from=builder /acb-enrichment /app/acb-enrichment
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# Create non-root user
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RUN adduser -D -u 1000 acb
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USER acb
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# Environment variables (set at runtime via K8s manifests)
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# ACB_DATABASE_URL - PostgreSQL connection string
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# ACB_DATABASE_NAME - Database name (default: acb)
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# ACB_LLM_BASE_URL - LLM API base URL (e.g., https://api.openai.com/v1)
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# ACB_LLM_API_KEY - LLM API key
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# ACB_LLM_MODEL - Model to use (default: gpt-4o-mini)
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# ACB_LLM_MAX_TOKENS - Max tokens per request (default: 3000)
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# ACB_LLM_TEMPERATURE - Generation temperature (default: 0.7)
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# ACB_ENRICHMENT_MAX_PER_HOUR - Rate limit: max enrichments per hour (default: 20)
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# ACB_ENRICHMENT_MAX_CONCURRENT - Max parallel LLM requests (default: 3)
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# ACB_B2_ENDPOINT - B2 endpoint URL
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# ACB_B2_BUCKET - B2 bucket name
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# ACB_B2_ACCESS_KEY_ID - B2 access key ID
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# ACB_B2_SECRET_ACCESS_KEY - B2 secret access key
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# ACB_R2_ENDPOINT - R2 endpoint URL
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# ACB_R2_BUCKET - R2 bucket name
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# ACB_R2_ACCESS_KEY_ID - R2 access key ID
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# ACB_R2_SECRET_ACCESS_KEY - R2 secret access key
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# ACB_ENRICHMENT_MIN_TURNS - Minimum turn count for enrichment (default: 100)
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# ACB_ENRICHMENT_MIN_CROSSINGS - Minimum win prob crossings (default: 3)
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# ACB_ENRICHMENT_UPSET_THRESHOLD - Rating diff for upset consideration (default: 150)
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# ACB_ENRICHMENT_INTERVAL - Cycle interval (default: 30m)
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# ACB_ENRICHMENT_TIMEOUT - Max duration per cycle (default: 25m)
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# ACB_ENRICHMENT_MAX_LIFETIME - Process lifetime before restart (default: 4h)
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# Default values
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ENV ACB_DATABASE_NAME=acb
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ENV ACB_LLM_MODEL=gpt-4o-mini
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ENV ACB_R2_BUCKET=acb-data
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ENV ACB_ENRICHMENT_MAX_PER_HOUR=20
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ENV ACB_ENRICHMENT_MAX_CONCURRENT=3
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ENV ACB_ENRICHMENT_MIN_TURNS=100
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ENV ACB_ENRICHMENT_MIN_CROSSINGS=3
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ENV ACB_ENRICHMENT_UPSET_THRESHOLD=150
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ENV ACB_ENRICHMENT_INTERVAL=30m
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ENV ACB_ENRICHMENT_MAX_LIFETIME=4h
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ENTRYPOINT ["/app/acb-enrichment"]
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