Files
pastor-online/docker-compose.yml
T
omp 2043d5ddcf refactor: troca PDF+OCR por corpus USFX em domínio público
- corpus/: Almeida (João Ferreira de Almeida) em USFX, domínio público,
  66 livros / 1189 capítulos / 31098 versículos, versionado com SHA-256
- app/corpus.py: parser USFX (texto no tail de <v/>), nomes canônicos dos
  livros, aliases (abreviaturas e numerais romanos), VerseChunk sem página
- indexer: descobre *.xml em CORPUS_DIR, progresso em versículos, lote
  configurável, manifesto incremental por SHA-256
- remove extraction.py, parallel.py, bible_parser.py, Tesseract e PyMuPDF
- campo page removido de Source/SearchResult/StatusResponse e do frontend
- embedder: propriedade name; status reporta o embedder em uso, não o do .env
- create_app constrói o embedder ANTES do store (o default HashEmbedder do
  VectorStore impedia o modelo configurado de ser carregado em produção)
- fallback do modelo agora aparece em /api/status.errors
- torch 2.6.0 + transformers 5.22.1 pinados (transformers 5.x exige torch>=2.6)
2026-11-02 11:16:07 -03:00

96 lines
2.7 KiB
YAML

services:
backend:
build:
context: ./backend
dockerfile: Dockerfile
image: pastor-online-backend:latest
container_name: pastor-online-backend
restart: unless-stopped
environment:
CORPUS_DIR: /data/corpus
VECTOR_DB_DIR: /data/vector_db
LLM_PROVIDER: ${LLM_PROVIDER:-ollama}
OLLAMA_BASE_URL: ${OLLAMA_BASE_URL:-http://ollama:11434}
OLLAMA_MODEL: ${OLLAMA_MODEL:-qwen2.5:1.5b}
OPENAI_BASE_URL: ${OPENAI_BASE_URL:-https://api.openai.com/v1}
OPENAI_MODEL: ${OPENAI_MODEL:-gpt-4o-mini}
OPENAI_API_KEY: ${OPENAI_API_KEY:-}
GROQ_BASE_URL: ${GROQ_BASE_URL:-https://api.groq.com/openai/v1}
GROQ_MODEL: ${GROQ_MODEL:-llama-3.3-70b-versatile}
GROQ_API_KEY: ${GROQ_API_KEY:-}
ANTHROPIC_BASE_URL: ${ANTHROPIC_BASE_URL:-https://api.anthropic.com}
ANTHROPIC_MODEL: ${ANTHROPIC_MODEL:-claude-sonnet-4-5}
ANTHROPIC_API_KEY: ${ANTHROPIC_API_KEY:-}
EMBEDDING_MODEL: ${EMBEDDING_MODEL:-paraphrase-multilingual-MiniLM-L12-v2}
TOP_K: ${TOP_K:-6}
MIN_SIMILARITY: ${MIN_SIMILARITY:-0.35}
INDEX_BATCH_SIZE: ${INDEX_BATCH_SIZE:-512}
CORS_ORIGINS: ${CORS_ORIGINS:-http://localhost:8080,http://127.0.0.1:8080}
REINDEX_TOKEN: ${REINDEX_TOKEN:-}
AUTO_INDEX: ${AUTO_INDEX:-true}
HF_HOME: /data/models
volumes:
- ./corpus:/data/corpus:ro
- vector_db:/data/vector_db
networks:
- pastor
healthcheck:
test: ["CMD", "curl", "-fsS", "http://localhost:8000/api/health"]
interval: 30s
timeout: 5s
retries: 3
start_period: 30s
frontend:
build:
context: ./frontend
dockerfile: Dockerfile
image: pastor-online-frontend:latest
container_name: pastor-online-frontend
restart: unless-stopped
depends_on:
backend:
condition: service_started
ports:
- "${FRONTEND_PORT:-8080}:80"
networks:
- pastor
ollama:
image: ollama/ollama:latest
container_name: pastor-online-ollama
restart: unless-stopped
profiles: ["local"]
volumes:
- ollama:/root/.ollama
networks:
- pastor
ollama-pull:
image: ollama/ollama:latest
container_name: pastor-online-ollama-pull
profiles: ["local"]
depends_on:
- ollama
environment:
OLLAMA_HOST: http://ollama:11434
OLLAMA_MODEL: ${OLLAMA_MODEL:-qwen2.5:1.5b}
entrypoint: ["/bin/sh", "-c"]
command:
- |
until ollama list >/dev/null 2>&1; do
echo "aguardando o Ollama..."
sleep 3
done
ollama pull "$${OLLAMA_MODEL}"
networks:
- pastor
volumes:
vector_db:
ollama:
networks:
pastor:
driver: bridge