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# Dockerfile.lite - para.AI v3.0 com SQLite
# Build ~2min (vs ~8min com PostgreSQL)
# Imagem ~300MB (vs ~800MB com PostgreSQL)
## OBJETIVO SIMPLIFICAR SQUEMAS E ESPECIALISTAS ##
FROM python:3.11-slim
# Metadata
LABEL maintainer="para.AI Team"
LABEL version="3.1.0-sqlite"
LABEL description="para.AI API - SQLite Test Version"
# Variáveis de ambiente
ENV PYTHONUNBUFFERED=1 \
PYTHONDONTWRITEBYTECODE=1 \
PIP_NO_CACHE_DIR=1 \
PIP_DISABLE_PIP_VERSION_CHECK=1 \
DEBIAN_FRONTEND=noninteractive \
APP_ENV=development \
DATABASE_TYPE=sqlite \
DATABASE_URL=sqlite:///./data/para_ai.db
# Criar diretórios
WORKDIR /app
RUN mkdir -p /app/data /app/logs /app/data/files /app/data/uploads \
/app/data/outputs /app/data/temp /app/data/backups
# Instalar dependências mínimas do sistema
RUN apt-get update && apt-get install -y --no-install-recommends \
gcc \
curl \
&& rm -rf /var/lib/apt/lists/*
# Copiar requirements
COPY requirements.txt .
# Instalar dependências Python
RUN pip install --no-cache-dir -r requirements.txt
# Copiar código da aplicação
COPY . .
# Criar arquivo SQLite vazio (será populado na primeira execução)
RUN touch /app/data/para_ai.db && chmod 666 /app/data/para_ai.db
# Expor porta
EXPOSE 7860
# Healthcheck
HEALTHCHECK --interval=30s --timeout=10s --start-period=40s --retries=3 \
CMD curl -f http://localhost:8000/health || exit 1
# Script de inicialização
COPY scripts/docker-entrypoint-lite.sh /docker-entrypoint.sh
RUN chmod +x /docker-entrypoint.sh
# Comando de inicialização
ENTRYPOINT ["/docker-entrypoint.sh"]
CMD ["uvicorn", "api.main:app", "--host", "0.0.0.0", "--port", "7860", "--workers", "1"]
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