Squashed 'docs/standards/playbook/' changes from c3f8137..25d895d
25d895d 🐛 fix(gitea_workflow): clean up temp repos after job steps 2bc3b11 🐛 fix(gitea_workflow): clean up temporary repo dirs in workflows 98c3f30 📝 docs(agent_rules): allow plan execution on current branch 16c7230 📝 docs(prompts): define custom verify layering 8efc4dd 🐛 fix(skills): quote commit-message description bc8498f 🐛 fix(ci): install tomli for gitea tests 55cda3b 🐛 fix(tests): report missing toml parser clearly c0729c7 🐛 fix(playbook): import Optional for cli compatibility 63e24bf 📦 deps(skills): sync thirdparty skills d2f9356 🐛 fix(ci): isolate gitea workflow repos 588b81d 🐛 fix(ci): inline gitea workflow bootstrap e0b1c3a ♻️ refactor(skills): standardize first-party skill contracts 2c5050d ♻️ refactor(skills): rename repo skills source dir f049dfb 📦 deps(skills): drop duplicate first-party superpowers skills 234b335 ✨ feat(workflow): add superpowers planning and execution state tracking c1702a6 📝 docs(markdown): format tracked markdown and drop stale templates 2325409 📝 docs(markdown): clarify optional markdownlint usage 214c44e 🔧 chore(markdown): add markdownlint baseline and lint fixes a22b324 📝 docs(templates): add execution and memory-bank prompt templates 223a797 📝 docs(templates): update README for Claude Code and current features 4ac8672 📝 docs: simplify README + platform-agnostic tools + auto-create local rules 2431c9d 📝 docs: add claude_md config and use cross-platform paths d64b248 📝 docs: fix README.md inaccuracies and add Claude Code info c8d6bf2 🐛 fix(playbook): use relative paths in CLAUDE.md when not at project root 6518f0f ✨ feat(playbook): auto-create CLAUDE.md with path discovery 6ec9a45 ✨ feat(skills): add skill_link symlink support + platform-agnostic prompt 9f8b6b5 📝 docs: update README and config example for Claude Code support 79cff6c 📝 docs(skills): add Claude Code platform support 452c6f5 ✨ feat(playbook): auto-inject AGENTS.md into CLAUDE.md e1dbf3c 🐛 fix(skills): remove dual-path from commit-message skill f3a7259 🔧 chore(ci): use prepare_repo.sh in both workflows da08212 🔧 chore(ci): extract prepare_repo.sh and clean up workflows 7ade85e 🗑️ remove(tsl): drop syntax_book/, data/ source and build script f94dba0 ♻️ refactor(skills): update playbook.py and tests for thirdparty/ layout b3df412 ♻️ refactor(skills): separate thirdparty skills into thirdparty/ subdirectory 64950e7 📦 deps(skills): sync thirdparty skills a2e3cb0 ✨ feat(playbook): add no_backup deploy controls 8609d59 🐛 fix(docs): repair reference catalog source links 956da11 🐛 fix(playbook): publish hidden ci test fixes 3f67754 📦 deps(skills): sync thirdparty skills 08ca87b 📦 deps(skills): add karpathy thirdparty sync 96b705b 📝 docs(tsl): rebuild canonical syntax and routing manual 3ed5052 📦 deps(skills): sync thirdparty skills 60108dd 📦 deps(skills): sync thirdparty skills da85d4e 🐛 fix(thirdparty): prune nested project snapshots a2a697e 📦 deps(skills): sync thirdparty skills 9df610a 🐛 fix(thirdparty): exclude duplicated superpowers skills 33dd5bb 🐛 fix(thirdparty): preserve optional manifest fields 91b0ea7 🐛 fix(thirdparty): preserve manifest during snapshot update 2e26f98 🔧 chore(thirdparty): generalize skills sync pipeline 5b9c1e3 📦 deps(skills): sync superpowers 2f2d34a 📝 docs(readme): normalize subtree command spacing 62db7db 🐛 fix(ci): serialize superpowers update and sync 3463223 🐛 fix(ci): use literal superpowers sync paths 48f6de8 📦 deps(skills): sync superpowers 4b23529 🔧 chore(ci): merge superpowers update and sync workflow a56d75b 📦 deps(skills): sync superpowers 84bcefa 🔧 chore(ci): use ci[bot] commit author name 00a07e5 📦 deps(skills): sync superpowers 7b84daf 🐛 fix(templates): enforce main loop progress tracking 51373d7 🔧 chore(ci): automate superpowers sync workflow eaaa39c 🐛 fix(ci): prevent stale superpowers sync from restoring skills block 79755c6 📦 deps(skills): sync superpowers 836d878 📦 deps(skills): sync superpowers 8216c9f 📦 deps(skills): sync superpowers 9439505 🐛 fix(playbook): address reported repo issues git-subtree-dir: docs/standards/playbook git-subtree-split: 25d895d8b3f56624ccfe99ad7289e9eb49e0f316
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# 天软平台和 Python 的交互
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文档类型:模块摘要
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是否可直接用于生成代码:否
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是否含已验证可执行示例:否
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是否含已验证反例:否
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遇到不确定时跳转到:项目级部署文档、对应官方文档、[pytsl_api.md](pytsl_api.md)、[index.md](index.md)
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本页用于接入决策和最小链路确认,不替代项目级部署文档。
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- 如果登录方式、凭证来源、位数、环境变量、连接通道或部署入口没有确认,不继续生成接入代码,直接回项目级部署文档或对应官方文档。
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## 摘要
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- 覆盖三类交互:Python 调用 TSL、TSL 调用 Python、落地服务器开启 Python 服务。
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- 提供 COM/远程登录两种路径,以及 `PyRun`/`PyCall` 体系。
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## 怎么选路
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| 场景 | 先选哪条路 | 最小前置条件 | 常见失败点 |
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| ----------------------------------- | -------------------------- | ------------------------------------------------------- | ---------------------------------------------------- |
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| Python 作为主控,远程执行或调用 TSL | Python 调 TSL | Python 环境、TSLPy 模块、可用连接方式(COM / 远程登录) | 位数不一致、环境变量没配好、服务器未登录 |
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| TSL 脚本里需要调用现有 Python 代码 | TSL 调 Python | TSL 与 Python 位数一致、`PYTHONHOME` 等环境正确 | Python 环境未就绪、模块找不到、网格场景不支持 |
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| 落地服务器侧长期提供 Python 能力 | 落地服务器开启 Python 服务 | 服务端环境、部署权限、可维护的脚本入口 | 服务端环境和本地环境不一致、依赖未部署、运行权限不足 |
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## 结构索引
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- 支持版本
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## Python 调用 TSL(核心步骤)
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1. 配置环境变量(天软目录、Python 目录)。
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2. 加载 TSLPy 模块(直接加载或修改包名)。
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3. 选择连接方式(COM / 远程登录)。
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1. 先确认项目级部署文档里的天软目录、Python 目录、位数、连接通道和登录方式。
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2. 配置环境变量(天软目录、Python 目录)。
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3. 加载 TSLPy 模块(直接加载或修改包名)。
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4. 选择连接方式(COM / 远程登录)。
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5. 登录服务器后,再执行 `RemoteExecute` / `RemoteCallFunc`。
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6. 完成后显式断开连接。
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## 主要接口(Python 侧)
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- `PyCall`(调用 Python 函数,支持命名参数)
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- `PyError` / `PyRelease` / `PyEnsure`
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## TSL 调用 Python(核心步骤)
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1. 先回项目级部署文档确认位数、`PYTHONHOME`、解释器路径和可用模块。
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2. 用 `PyEnsure` 确认 Python 运行时已经就绪。
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3. 需要把输入传给 Python 时,先用 `PyPutVar` 放入变量。
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4. 选择执行方式:执行整段脚本用 `PyRun`,直接调函数用 `PyCall`。
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5. 需要取回结果时,再用 `PyGetVar` 读取输出变量。
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6. 失败时先看 `PyError`,结束后显式 `PyRelease`。
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## 最小前置条件
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- Python 与 TSL 位数必须一致。
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- 多版本 Python 需同步设置 `PYTHONHOME`。
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- 落地前先决定是谁主控:Python 主控还是 TSL 主控。
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## do Python 方式
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- 适合快速执行 Python 脚本,省去显式接口调用。
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## 落地服务器开启 Python 服务(核心步骤)
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1. 先回项目级部署文档确认服务入口、部署权限、依赖目录和守护方式。
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2. 在服务器上准备与项目要求一致的 Python 运行时和依赖包。
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3. 放置一个稳定的 Python 脚本或服务入口,先只承载一条最小调用链。
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4. 按项目约定把这个入口接到天软侧的调用路径或调度入口。
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5. 用最小请求先验证“能启动、能调用、能返回”,再扩展业务逻辑。
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6. 再补日志、重启方式和运维监控;如果这些入口还没确认,不继续生成部署代码。
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## 注意事项(精简)
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- Python 与 TSL 位数必须一致。
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- 多版本 Python 需同步设置 `PYTHONHOME`。
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- TSL 调 Python 不支持网格调用。
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- 出现调用失败时,优先先检查环境、位数和登录状态,再排查业务逻辑。
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- 如果登录方式、凭证来源、位数、环境变量、连接通道或部署入口任一没有确认,不继续生成接入代码。
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