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Edu/services/ai/pyproject.toml
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chore(deps): 统一依赖管理 - pnpm 11 + node:22 + golang:1.25 + python:3.12 + shared-* 集中化
- Node.js 统一到 node:22-alpine,Go 统一到 golang:1.25-alpine,Python 统一到 python:3.12-slim

- pnpm 升级到 11.13.0(corepack),新增 allowBuilds 白名单解决 ERR_PNPM_IGNORED_BUILDS

- 新增 packages/shared-py 集中 Python 共享依赖,shared-ts 补充 graphql-yoga/prom-client

- api-gateway 修复 go.mod 的 shared-go 依赖 + Dockerfile 改用 repo 根作 context

- Python 服务(data-ana/ai)Dockerfile 改用 repo 根作 context + 声明 uv workspace sources

- 16 个服务的 Dockerfile + CI + docker-compose.tools.yml 全部对齐版本矩阵

- known-issues.md 沉淀 9 条 pnpm 11 / uv workspace / Go shared-go 迁移经验

- 验证:4 服务完全成功(api-gateway /healthz 200),其余 install 成功(build 失败为预存 TS 错误)
2026-07-14 12:04:49 +08:00

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[project]
name = "ai-service"
version = "0.1.0"
description = "AI 网关服务 - LLM 集成 + 出题 + 备课工作流D6 智能洞察领域 · 生成子域)"
requires-python = ">=3.12"
dependencies = [
# 通过 workspace 继承 shared-py 集中声明的共享库版本
"edu-shared-py",
# 服务特有依赖(非共享库)
"httpx>=0.27.0",
# gRPC
"grpcio>=1.66.0",
"protobuf>=5.28.0",
# Kafka用量事件发布派生数据豁免 Outbox
"aiokafka>=0.11.0",
# Prompt 模板渲染
"jinja2>=3.1.0",
"pyyaml>=6.0.2",
# Redis限流 + 缓存 + 工作流状态)
"redis>=5.1.0",
# 重试机制LLM 调用 + 下游 gRPC
"tenacity>=9.0.0",
]
[tool.uv.sources]
edu-shared-py = { workspace = true }
[project.optional-dependencies]
dev = [
"grpcio-tools>=1.66.0",
"pytest>=8.3.0",
"pytest-asyncio>=0.24.0",
"pytest-cov>=5.0.0",
"ruff>=0.7.0",
]
[tool.ruff]
line-length = 100
target-version = "py312"
exclude = ["src/ai/proto_gen", "tests"]
[tool.ruff.lint]
select = ["E", "F", "I", "N", "W", "UP", "B", "SIM"]
[tool.pytest.ini_options]
asyncio_mode = "auto"
testpaths = ["tests"]
python_files = ["test_*.py"]
addopts = "--cov=src --cov-report=term-missing --cov-fail-under=80"
[tool.coverage.run]
omit = ["src/ai/proto_gen/*"]