wehub-resource-sync
43 lines
1.6 KiB
YAML
43 lines
1.6 KiB
YAML
services:
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resume-matcher:
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image: ghcr.io/srbhr/resume-matcher
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build: .
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container_name: resume-matcher
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ports:
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- "${PORT:-3000}:3000"
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volumes:
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- resume-data:/app/backend/data
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#secrets:
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# - llm_api_key
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environment:
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# domain in reverse proxy
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- FRONTEND_BASE_URL=${FRONTEND_BASE_URL:-http://localhost:3000}
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# Logging configuration: DEBUG, INFO, WARNING, ERROR
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- LOG_LEVEL=${LOG_LEVEL:-INFO}
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#- LOG_LEVEL_FILE=${LOG_LEVEL_FILE:-}
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# Debug level for LiteLLM: DEBUG, INFO, WARNING, ERROR
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- LOG_LLM=${LOG_LLM:-WARNING}
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#- LOG_LLM_FILE=${LOG_LLM_FILE:-}
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# LLM Configuration - configure via Settings UI or set env vars for explicit overrides
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# Supported providers: openai, anthropic, openrouter, gemini, deepseek, ollama
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# Defaults are defined in apps/backend/app/config.py
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- LLM_PROVIDER=${LLM_PROVIDER:-openai}
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- LLM_MODEL=${LLM_MODEL:-}
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# Optional Docker Secret file path (same behavior as Postgres-style *_FILE)
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#- LLM_API_KEY_FILE=${LLM_API_KEY_FILE:-/run/secrets/llm_api_key}
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- LLM_API_KEY=${LLM_API_KEY:-}
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# For Ollama running on host machine, use host.docker.internal:
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# - LLM_API_BASE=http://host.docker.internal:11434
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- LLM_API_BASE=${LLM_API_BASE:-}
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# CORS origins (JSON array format). FRONTEND_BASE_URL is auto-included.
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#- CORS_ORIGINS=["http://localhost:3000","http://127.0.0.1:3000"]
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restart: unless-stopped
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#secrets:
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# llm_api_key:
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# file: ./secrets/llm_api_key
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volumes:
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resume-data:
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driver: local
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