Add TLC Search app to stack
Complete TLC stack now includes: - rss-bridge: YouTube to RSS converter - feed-master: RSS feed aggregator - search: TLC Search Flask app (port 8088) Requires Elasticsearch and Qdrant backends configured in .env Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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stacks/tlc/.env.template
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12
stacks/tlc/.env.template
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# Elasticsearch configuration
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ELASTIC_URL=${ELASTIC_URL}
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ELASTIC_INDEX=${ELASTIC_INDEX:-tlc-egre}
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ELASTIC_API_KEY=${ELASTIC_API_KEY}
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ELASTIC_VERIFY_CERTS=${ELASTIC_VERIFY_CERTS:-0}
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# Qdrant configuration
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QDRANT_URL=${QDRANT_URL}
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QDRANT_COLLECTION=${QDRANT_COLLECTION:-tlc-captions-full}
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QDRANT_VECTOR_NAME=${QDRANT_VECTOR_NAME:-}
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QDRANT_VECTOR_SIZE=${QDRANT_VECTOR_SIZE:-1024}
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QDRANT_EMBED_MODEL=${QDRANT_EMBED_MODEL:-BAAI/bge-large-en-v1.5}
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@@ -43,6 +43,32 @@ services:
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networks:
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networks:
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- web
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- web
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# TLC Search - Flask app for searching YouTube transcripts
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search:
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image: gitea.ghost.tel/knight/tlc-search:latest
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container_name: tlc-search
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hostname: tlc-search
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restart: unless-stopped
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depends_on:
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- feed-master
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logging:
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driver: json-file
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options:
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max-size: "10m"
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max-file: "5"
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env_file:
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- .env
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environment:
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- RSS_FEED_URL=/rss/youtube-unified
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- RSS_FEED_UPSTREAM=http://feed-master:8080
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volumes:
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- ./channels.yml:/app/python_app/channels.yml:ro
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- ./data:/app/data:ro
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ports:
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- "8088:8080"
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networks:
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- web
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networks:
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networks:
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web:
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web:
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external: true
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external: true
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