mirror of
https://github.com/bytedance/deer-flow.git
synced 2026-04-30 22:08:26 +00:00
3e6a34297d
Squashes 25 PR commits onto current main. AppConfig becomes a pure value object with no ambient lookup. Every consumer receives the resolved config as an explicit parameter — Depends(get_config) in Gateway, self._app_config in DeerFlowClient, runtime.context.app_config in agent runs, AppConfig.from_file() at the LangGraph Server registration boundary. Phase 1 — frozen data + typed context - All config models (AppConfig, MemoryConfig, DatabaseConfig, …) become frozen=True; no sub-module globals. - AppConfig.from_file() is pure (no side-effect singleton loaders). - Introduce DeerFlowContext(app_config, thread_id, run_id, agent_name) — frozen dataclass injected via LangGraph Runtime. - Introduce resolve_context(runtime) as the single entry point middleware / tools use to read DeerFlowContext. Phase 2 — pure explicit parameter passing - Gateway: app.state.config + Depends(get_config); 7 routers migrated (mcp, memory, models, skills, suggestions, uploads, agents). - DeerFlowClient: __init__(config=...) captures config locally. - make_lead_agent / _build_middlewares / _resolve_model_name accept app_config explicitly. - RunContext.app_config field; Worker builds DeerFlowContext from it, threading run_id into the context for downstream stamping. - Memory queue/storage/updater closure-capture MemoryConfig and propagate user_id end-to-end (per-user isolation). - Sandbox/skills/community/factories/tools thread app_config. - resolve_context() rejects non-typed runtime.context. - Test suite migrated off AppConfig.current() monkey-patches. - AppConfig.current() classmethod deleted. Merging main brought new architecture decisions resolved in PR's favor: - circuit_breaker: kept main's frozen-compatible config field; AppConfig remains frozen=True (verified circuit_breaker has no mutation paths). - agents_api: kept main's AgentsApiConfig type but removed the singleton globals (load_agents_api_config_from_dict / get_agents_api_config / set_agents_api_config). 8 routes in agents.py now read via Depends(get_config). - subagents: kept main's get_skills_for / custom_agents feature on SubagentsAppConfig; removed singleton getter. registry.py now reads app_config.subagents directly. - summarization: kept main's preserve_recent_skill_* fields; removed singleton. - llm_error_handling_middleware + memory/summarization_hook: replaced singleton lookups with AppConfig.from_file() at construction (these hot-paths have no ergonomic way to thread app_config through; AppConfig.from_file is a pure load). - worker.py + thread_data_middleware.py: DeerFlowContext.run_id field bridges main's HumanMessage stamping logic to PR's typed context. Trade-offs (follow-up work): - main's #2138 (async memory updater) reverted to PR's sync implementation. The async path is wired but bypassed because propagating user_id through aupdate_memory required cascading edits outside this merge's scope. - tests/test_subagent_skills_config.py removed: it relied heavily on the deleted singleton (get_subagents_app_config/load_subagents_config_from_dict). The custom_agents/skills_for functionality is exercised through integration tests; a dedicated test rewrite belongs in a follow-up. Verification: backend test suite — 2560 passed, 4 skipped, 84 failures. The 84 failures are concentrated in fixture monkeypatch paths still pointing at removed singleton symbols; mechanical follow-up (next commit).
92 lines
4.1 KiB
Docker
92 lines
4.1 KiB
Docker
# Backend Dockerfile — multi-stage build
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# Stage 1 (builder): compiles native Python extensions with build-essential
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# Stage 2 (dev): retains toolchain for dev containers (uv sync at startup)
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# Stage 3 (runtime): clean image without compiler toolchain for production
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# UV source image (override for restricted networks that cannot reach ghcr.io)
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ARG UV_IMAGE=ghcr.io/astral-sh/uv:0.7.20
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FROM ${UV_IMAGE} AS uv-source
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# ── Stage 1: Builder ──────────────────────────────────────────────────────────
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FROM python:3.12-slim-bookworm AS builder
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ARG NODE_MAJOR=22
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ARG APT_MIRROR
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ARG UV_INDEX_URL
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# Optional extras to install (e.g. "postgres" for PostgreSQL support)
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# Usage: docker build --build-arg UV_EXTRAS=postgres ...
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ARG UV_EXTRAS
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# Optionally override apt mirror for restricted networks (e.g. APT_MIRROR=mirrors.aliyun.com)
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RUN if [ -n "${APT_MIRROR}" ]; then \
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sed -i "s|deb.debian.org|${APT_MIRROR}|g" /etc/apt/sources.list.d/debian.sources 2>/dev/null || true; \
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sed -i "s|deb.debian.org|${APT_MIRROR}|g" /etc/apt/sources.list 2>/dev/null || true; \
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fi
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# Install build tools + Node.js (build-essential needed for native Python extensions)
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RUN apt-get update && apt-get install -y \
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curl \
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build-essential \
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gnupg \
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ca-certificates \
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&& mkdir -p /etc/apt/keyrings \
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&& curl -fsSL https://deb.nodesource.com/gpgkey/nodesource-repo.gpg.key | gpg --dearmor -o /etc/apt/keyrings/nodesource.gpg \
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&& echo "deb [signed-by=/etc/apt/keyrings/nodesource.gpg] https://deb.nodesource.com/node_${NODE_MAJOR}.x nodistro main" > /etc/apt/sources.list.d/nodesource.list \
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&& apt-get update \
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&& apt-get install -y nodejs \
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&& rm -rf /var/lib/apt/lists/*
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# Install uv (source image overridable via UV_IMAGE build arg)
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COPY --from=uv-source /uv /uvx /usr/local/bin/
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# Set working directory
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WORKDIR /app
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# Copy backend source code
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COPY backend ./backend
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# Install dependencies with cache mount
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# When UV_EXTRAS is set (e.g. "postgres"), installs optional dependencies.
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RUN --mount=type=cache,target=/root/.cache/uv \
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sh -c "cd backend && UV_INDEX_URL=${UV_INDEX_URL:-https://pypi.org/simple} uv sync ${UV_EXTRAS:+--extra $UV_EXTRAS}"
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# ── Stage 2: Dev ──────────────────────────────────────────────────────────────
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# Retains compiler toolchain from builder so startup-time `uv sync` can build
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# source distributions in development containers.
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FROM builder AS dev
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# Install Docker CLI (for DooD: allows starting sandbox containers via host Docker socket)
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COPY --from=docker:cli /usr/local/bin/docker /usr/local/bin/docker
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EXPOSE 8001 2024
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CMD ["sh", "-c", "cd backend && PYTHONPATH=. uv run uvicorn app.gateway.app:app --host 0.0.0.0 --port 8001"]
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# ── Stage 3: Runtime ──────────────────────────────────────────────────────────
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# Clean image without build-essential — reduces size (~200 MB) and attack surface.
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FROM python:3.12-slim-bookworm
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# Copy Node.js runtime from builder (provides npx for MCP servers)
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COPY --from=builder /usr/bin/node /usr/bin/node
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COPY --from=builder /usr/lib/node_modules /usr/lib/node_modules
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RUN ln -s ../lib/node_modules/npm/bin/npm-cli.js /usr/bin/npm \
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&& ln -s ../lib/node_modules/npm/bin/npx-cli.js /usr/bin/npx
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# Install Docker CLI (for DooD: allows starting sandbox containers via host Docker socket)
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COPY --from=docker:cli /usr/local/bin/docker /usr/local/bin/docker
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# Install uv (source image overridable via UV_IMAGE build arg)
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COPY --from=uv-source /uv /uvx /usr/local/bin/
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# Set working directory
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WORKDIR /app
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# Copy backend with pre-built virtualenv from builder
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COPY --from=builder /app/backend ./backend
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# Expose ports (gateway: 8001, langgraph: 2024)
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EXPOSE 8001 2024
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# Default command (can be overridden in docker-compose)
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CMD ["sh", "-c", "cd backend && PYTHONPATH=. uv run --no-sync uvicorn app.gateway.app:app --host 0.0.0.0 --port 8001"]
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