2e87a5ff4d
FFmpeg in Docker for transcoding, thumbnail extraction, and metadata parsing. Videos stored in /data/uploads (mounted volume), served via streaming API route with Range headers and HLS segment caching. Upload flow: stream-write MP4 → ffprobe metadata → thumbnail → async HLS transcode → update revision status to ready. New files: - video-service.ts: FFmpeg/ffprobe wrapper (HLS, thumbnails, metadata) - /api/uploads/[...path]: streaming file server with Range support Modified: - upload-service.ts: video handling, 500MB limit, async HLS pipeline - upload route: accepts video/referenceVideo types - Dockerfile: ffmpeg + /data/uploads directory - docker-compose.yml: uploads_data volume Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
35 lines
1.3 KiB
Text
35 lines
1.3 KiB
Text
# Database
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DATABASE_URL="postgresql://postgres:postgres@localhost:5432/hp_prod_tracker?schema=public"
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# Auth.js
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AUTH_SECRET="" # Generate with: npx auth secret
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AUTH_GOOGLE_ID=""
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AUTH_GOOGLE_SECRET=""
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AUTH_MICROSOFT_ENTRA_ID_ID=""
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AUTH_MICROSOFT_ENTRA_ID_SECRET=""
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AUTH_MICROSOFT_ENTRA_ID_TENANT_ID=""
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# App
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NEXT_PUBLIC_APP_URL="http://localhost:3000"
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# Claude AI (AI Chat Assistant — primary provider)
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# Used for the chat interface. Falls back to Ollama if unavailable.
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# Get your key at: https://console.anthropic.com/
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ANTHROPIC_API_KEY=""
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# Optional: override the default model (cheapest & latest = claude-haiku-4-5-20251001)
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# Pricing: $1/1M input tokens, $5/1M output tokens
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# Other options: claude-sonnet-4-6 ($3/$15), claude-opus-4-6 ($5/$25)
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# ANTHROPIC_MODEL="claude-haiku-4-5-20251001"
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# Cron / Scheduler
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CRON_SECRET="" # Secret for /api/cron/* endpoints. Generate with: openssl rand -hex 32
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# Video uploads — override storage directory (default: /data/uploads in prod, ./data/uploads in dev)
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# VIDEO_UPLOADS_DIR="/data/uploads"
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# Ollama (AI — embeddings, search, chat fallback)
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# Local Ollama instance for embeddings, LLM summarization, and chat fallback.
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# No data leaves the network. Zero ongoing AI costs.
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OLLAMA_HOST="http://localhost:11434"
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OLLAMA_EMBED_MODEL="nomic-embed-text"
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OLLAMA_LLM_MODEL="qwen3:1.7b"
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