mirror of
https://github.com/dograh-hq/dograh.git
synced 2026-06-07 07:55:16 +02:00
00a1a22b74
* refactor: carve out extraction panel * refactor: create spec versions for node types * refactor: create a GenericNode and remove custom nodes * feat: add python and typescript sdk * add dograh sdk * fix: fetch draft workflow definition over published one * fix: fix routes of SDKs to use code gen * chore: remove doclink dependency to reduce image size * chore: format files * chore: bump pipecat * feat: let mcp fetch archived workflows on demand * chore: fix tests * feat: add sdk documentation * chore: change banner and add badge
107 lines
No EOL
4.4 KiB
Docker
107 lines
No EOL
4.4 KiB
Docker
# Multi-stage Dockerfile
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# Stage 1: Builder - Install Python dependencies
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FROM python:3.12-slim AS builder
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WORKDIR /app
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# Install git in builder stage (needed for pip install from git)
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RUN apt-get update && apt-get install -y \
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git \
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&& apt-get clean \
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&& rm -rf /var/lib/apt/lists/*
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# Copy and install requirements
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COPY api/requirements.txt .
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# Install dependencies to user directory for easy copying
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RUN pip install --user --no-cache-dir -r requirements.txt && \
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# Clean up pip cache after installation
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rm -rf /root/.cache/pip
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# Copy and install pipecat from local submodule
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COPY pipecat /tmp/pipecat
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RUN pip install --user --no-cache-dir '/tmp/pipecat[cartesia,deepgram,openai,elevenlabs,groq,google,azure,sarvam,soundfile,silero,webrtc,speechmatics,openrouter,camb]' && \
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# Swap opencv-python (pulled by pipecat[webrtc]) for opencv-python-headless
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# to drop X11/Qt dependencies that otherwise require libxcb etc. in runner.
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pip uninstall -y opencv-python && \
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pip install --user --no-cache-dir opencv-python-headless && \
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# Pre-download NLTK punkt_tab tokenizer data (required by pipecat at runtime)
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python -c "import nltk; nltk.download('punkt_tab', quiet=True)" && \
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# Clean up pip cache and temporary pipecat directory
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rm -rf /root/.cache/pip /tmp/pipecat
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# Strip cache files, test/example dirs, and type stubs from installed packages
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RUN find /root/.local -type f -name '*.pyc' -delete && \
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find /root/.local -type d -name '__pycache__' -prune -exec rm -rf {} + && \
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find /root/.local -type f -name '*.pyo' -delete && \
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find /root/.local -type d \( -name tests -o -name test -o -name examples \) -prune -exec rm -rf {} + && \
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find /root/.local -name '*.pyi' -delete
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# Stage 2: Node deps for ts_validator (built with full node:22-slim, only
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# node_modules is copied into the runner).
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FROM node:22-slim AS ts-deps
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WORKDIR /ts_validator
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COPY api/mcp_server/ts_validator/package*.json ./
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RUN npm ci --omit=dev && npm cache clean --force
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# Stage 3: Static ffmpeg binary (avoids apt ffmpeg pulling mesa/libllvm for
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# hardware acceleration we don't use server-side).
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FROM debian:trixie-slim AS ffmpeg-static
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RUN apt-get update && apt-get install -y --no-install-recommends \
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curl ca-certificates xz-utils \
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&& curl -fsSL -o /tmp/ffmpeg.tar.xz https://johnvansickle.com/ffmpeg/releases/ffmpeg-release-amd64-static.tar.xz \
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&& mkdir -p /tmp/ffmpeg \
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&& tar -xJf /tmp/ffmpeg.tar.xz -C /tmp/ffmpeg --strip-components=1 \
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&& mv /tmp/ffmpeg/ffmpeg /tmp/ffmpeg/ffprobe /usr/local/bin/ \
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&& chmod +x /usr/local/bin/ffmpeg /usr/local/bin/ffprobe
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# Stage 4: Runtime - Minimal image with only runtime dependencies
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FROM python:3.12-slim AS runner
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WORKDIR /app
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# Static ffmpeg + ffprobe (used by audio_converter, audio_file_cache, etc.)
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COPY --from=ffmpeg-static /usr/local/bin/ffmpeg /usr/local/bin/ffmpeg
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COPY --from=ffmpeg-static /usr/local/bin/ffprobe /usr/local/bin/ffprobe
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# Node.js 22 binary only (ts_validator subprocess needs node >=22.6 for
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# native TypeScript stripping; see api/mcp_server/ts_bridge.py). python:3.12-slim
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# already provides libstdc++6, libgcc-s1, and ca-certificates that node needs.
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COPY --from=node:22-slim /usr/local/bin/node /usr/local/bin/node
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# Copy Python packages from builder stage
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COPY --from=builder /root/.local /root/.local
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# Copy NLTK data (punkt_tab tokenizer) from builder stage
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COPY --from=builder /root/nltk_data /root/nltk_data
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# Make sure scripts in .local are available
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ENV PATH=/root/.local/bin:$PATH
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# Set Python to not generate .pyc files in runtime
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ENV PYTHONDONTWRITEBYTECODE=1
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# Unbuffered output for better container logging
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ENV PYTHONUNBUFFERED=1
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# Copy application code
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COPY ./api ./api
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COPY ./scripts/start_services_dev.sh ./scripts/start_services_dev.sh
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# ts_validator Node deps (built in ts-deps stage with full node:22-slim image).
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# The validator runs as a short-lived subprocess from api/mcp_server/ts_bridge.py.
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COPY --from=ts-deps /ts_validator/node_modules ./api/mcp_server/ts_validator/node_modules
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# Product documentation — read at runtime by the MCP docs tools
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# (search_dograh_docs / fetch_dograh_doc) so agents can learn Dograh.
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COPY ./docs ./docs
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ENV PYTHONPATH=/app
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# Disable file logging in Docker - logs go to stdout for docker logs
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ENV LOG_TO_FILE=false
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# Expose the port FastAPI will run on
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EXPOSE 8000
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# Run the FastAPI app with uvicorn
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CMD ["./scripts/start_services_dev.sh"] |