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ci(build-exe): drop pull_request label trigger to avoid skipped checks (#3049)
* ci(build-exe): drop pull_request label trigger to avoid skipped checks * docs(build-exe): sync agent note and pin event set in workflow spec * test(ci): type-safe event key assertion for build-exe workflow * ci(build-exe): use present-tense trigger comment and drop label-run note
This commit is contained in:
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# side as of the last confirmed-consistent state. Both languages carry equal authority;
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# side as of the last confirmed-consistent state. Both languages carry equal authority;
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# after editing either side, bring the other along and re-record with:
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# after editing either side, bring the other along and re-record with:
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# pnpm run verify-translation-pairing --write .agents/notes/implemented/architecture/2026-07-10-single-file-executable-sdk-runtime-distribution.md
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# pnpm run verify-translation-pairing --write .agents/notes/implemented/architecture/2026-07-10-single-file-executable-sdk-runtime-distribution.md
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2026-07-10-single-file-executable-sdk-runtime-distribution.md: 8731528b9ae600bb8bfe12738669f3a84c11a06b
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2026-07-10-single-file-executable-sdk-runtime-distribution.md: c152345772826ec4e2dbfd238726c429418c7897
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2026-07-10-single-file-executable-sdk-runtime-distribution.zh.md: 755b4bd7ddbe9b88b4f40b8a3ae7419f746b8dde
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2026-07-10-single-file-executable-sdk-runtime-distribution.zh.md: ea5e457afd761cb5071f8b584ef10fa7ffaa8210
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@@ -44,7 +44,7 @@ The deploy root includes `@deepseek-ai/dsh-mcp-client` as an explicitly supporte
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[`scripts/build-exe-for-python-sdk.ts`](../../../../scripts/build-exe-for-python-sdk.ts): runtime closure verification → `pnpm run build` → (after clearing) `pnpm --filter dsh-python-runtime-closure deploy --legacy --prod --config.node-linker=hoisted --config.auto-install-peers=false --config.link-workspace-packages=true` **directly into** `python/sdk-runtime/src/deepseek_harness_runtime/runtime/node/` → restore direct workspace packages omitted by legacy deploy and reject any remaining manifest gap → replace staged dependency symlinks with their target bytes, remove package-manager `.bin` links, and fail if any symlink remains → inject pkg configuration whose bin is `node_modules/@deepseek-ai/dsh/lib/bin.js` and whose assets cover dynamic profile, bundle, frontend, preset, native-library, and configuration reads → stage the target `node-pty` addon → invoke `pkg --sea` once per target → write `deepseek-harness-sdk-runtime-<platform>-<arch>` under `dist-exe/` and copy it into the runtime directory. Linux CI rebuilds `pty.node` inside the matching manylinux 2.28 container because legacy deploy omits that install side effect. Every target copies its native `@vscode/ripgrep` binary beside the executable as the required `-rg` sidecar; pkg runtimes select that sidecar through `process.pkg`, while ordinary Node execution uses `@vscode/ripgrep` directly. macOS uses its target prebuild and also emits the required `-spawn-helper`. All four deploy flags are grounded in measurement: `--legacy` is the mandatory path with inject-workspace-packages off; hoisted gives pkg a stable single-instance layout that the explicit materialization pass makes symlink-free; disabling automatic peer installation prevents undeclared peers from expanding the closure; link-workspace-packages selects direct workspace dependencies. [`pnpm-workspace.yaml`](../../../../pnpm-workspace.yaml) overrides the transitive `@deepseek-ai/cosmokit` and `@deepseek-ai/schemastery` semver requests to the pinned vendor sources so legacy deploy never resolves those unpublished names from a registry.
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[`scripts/build-exe-for-python-sdk.ts`](../../../../scripts/build-exe-for-python-sdk.ts): runtime closure verification → `pnpm run build` → (after clearing) `pnpm --filter dsh-python-runtime-closure deploy --legacy --prod --config.node-linker=hoisted --config.auto-install-peers=false --config.link-workspace-packages=true` **directly into** `python/sdk-runtime/src/deepseek_harness_runtime/runtime/node/` → restore direct workspace packages omitted by legacy deploy and reject any remaining manifest gap → replace staged dependency symlinks with their target bytes, remove package-manager `.bin` links, and fail if any symlink remains → inject pkg configuration whose bin is `node_modules/@deepseek-ai/dsh/lib/bin.js` and whose assets cover dynamic profile, bundle, frontend, preset, native-library, and configuration reads → stage the target `node-pty` addon → invoke `pkg --sea` once per target → write `deepseek-harness-sdk-runtime-<platform>-<arch>` under `dist-exe/` and copy it into the runtime directory. Linux CI rebuilds `pty.node` inside the matching manylinux 2.28 container because legacy deploy omits that install side effect. Every target copies its native `@vscode/ripgrep` binary beside the executable as the required `-rg` sidecar; pkg runtimes select that sidecar through `process.pkg`, while ordinary Node execution uses `@vscode/ripgrep` directly. macOS uses its target prebuild and also emits the required `-spawn-helper`. All four deploy flags are grounded in measurement: `--legacy` is the mandatory path with inject-workspace-packages off; hoisted gives pkg a stable single-instance layout that the explicit materialization pass makes symlink-free; disabling automatic peer installation prevents undeclared peers from expanding the closure; link-workspace-packages selects direct workspace dependencies. [`pnpm-workspace.yaml`](../../../../pnpm-workspace.yaml) overrides the transitive `@deepseek-ai/cosmokit` and `@deepseek-ai/schemastery` semver requests to the pinned vendor sources so legacy deploy never resolves those unpublished names from a registry.
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CI: [`.github/workflows/build-exe-for-python-sdk.yml`](../../../../.github/workflows/build-exe-for-python-sdk.yml) is called for all four targets by the [installed-wheel Python runtime pull-request validation](../testing/2026-08-23-installed-python-wheel-black-box-ci.md) and the [public publication workflow](../process/2026-08-11-python-publication-workflow.md); `workflow_dispatch` and the `build-exe` label can still select a subset. Native builds run on linux-x64 / linux-arm64 (`ubuntu-24.04-arm`) / macos-arm64 / win-x64 (`windows-2025`), with `~/.pkg-cache` cached where applicable, and pkg handles macOS ad-hoc signing. Each leg installs the release-shaped SDK and runtime wheels into a clean venv outside the checkout, proves their package and executable provenance, then drives the complete keyless scenario set through the public SDK and direct NDJSON JSON-RPC. Trusted pull requests additionally run a real DeepSeek two-turn tool smoke on every target; fork and Dependabot heads receive no key. Linux inspects the executable and native addon's GLIBC requirements and runs an additional manylinux 2.28 smoke, while macOS verifies that the executable's deployment target fits the wheel tag. A full four-target run retains five artifacts, each containing one release file: the platform-independent SDK wheel and four native runtime wheels; a subset dispatch retains the SDK wheel and selected runtime wheels. Bare executables and source bundles remain intermediate test inputs. [`.gitlab-ci.yml`](../../../../.gitlab-ci.yml) accepts `python-v<repository-version>` tag pipelines whose version matches the root `package.json`, builds one SDK wheel and four native runtime wheels, then a single serialized job checks and publishes all five to the project PyPI registry. The [Windows x64 runtime decision](2026-08-23-python-sdk-windows-x64-runtime.md) owns the fourth target and the explicit exclusion of Windows arm64.
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CI: [`.github/workflows/build-exe-for-python-sdk.yml`](../../../../.github/workflows/build-exe-for-python-sdk.yml) is called for all four targets by the [installed-wheel Python runtime pull-request validation](../testing/2026-08-23-installed-python-wheel-black-box-ci.md) and the [public publication workflow](../process/2026-08-11-python-publication-workflow.md); `workflow_dispatch` can still select a subset. Native builds run on linux-x64 / linux-arm64 (`ubuntu-24.04-arm`) / macos-arm64 / win-x64 (`windows-2025`), with `~/.pkg-cache` cached where applicable, and pkg handles macOS ad-hoc signing. Each leg installs the release-shaped SDK and runtime wheels into a clean venv outside the checkout, proves their package and executable provenance, then drives the complete keyless scenario set through the public SDK and direct NDJSON JSON-RPC. Trusted pull requests additionally run a real DeepSeek two-turn tool smoke on every target; fork and Dependabot heads receive no key. Linux inspects the executable and native addon's GLIBC requirements and runs an additional manylinux 2.28 smoke, while macOS verifies that the executable's deployment target fits the wheel tag. A full four-target run retains five artifacts, each containing one release file: the platform-independent SDK wheel and four native runtime wheels; a subset dispatch retains the SDK wheel and selected runtime wheels. Bare executables and source bundles remain intermediate test inputs. [`.gitlab-ci.yml`](../../../../.gitlab-ci.yml) accepts `python-v<repository-version>` tag pipelines whose version matches the root `package.json`, builds one SDK wheel and four native runtime wheels, then a single serialized job checks and publishes all five to the project PyPI registry. The [Windows x64 runtime decision](2026-08-23-python-sdk-windows-x64-runtime.md) owns the fourth target and the explicit exclusion of Windows arm64.
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### Python SDK distribution: two carriers, exe for production, node for development
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### Python SDK distribution: two carriers, exe for production, node for development
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[`scripts/build-exe-for-python-sdk.ts`](../../../../scripts/build-exe-for-python-sdk.ts):运行时闭包校验 → `pnpm run build` →(清空后)`pnpm --filter dsh-python-runtime-closure deploy --legacy --prod --config.node-linker=hoisted --config.auto-install-peers=false --config.link-workspace-packages=true` **直接写入** `python/sdk-runtime/src/deepseek_harness_runtime/runtime/node/` → 恢复 legacy deploy 遗漏的直接工作区包,并拒绝剩余的 manifest 缺口 → 将暂存依赖中的符号链接替换为目标文件内容,删除包管理器的 `.bin` 链接,并在仍有任何符号链接时失败 → 注入 pkg 配置,其中 bin 为 `node_modules/@deepseek-ai/dsh/lib/bin.js`,assets 覆盖动态读取的 profile、bundle、前端、preset、原生库与配置文件 → 暂存目标平台的 `node-pty` addon → 每个构建目标调用一次 `pkg --sea` → 将 `deepseek-harness-sdk-runtime-<platform>-<arch>` 写入 `dist-exe/` 并拷回运行时目录。Linux CI 会在匹配的 manylinux 2.28 容器中重新构建 `pty.node`,因为 legacy deploy 会遗漏这一安装副作用。每个目标都会把对应的原生 `@vscode/ripgrep` 二进制复制到可执行文件旁,作为必需的 `-rg` 伴随文件;pkg 运行时通过 `process.pkg` 选择该伴随文件,普通 Node 执行则直接使用 `@vscode/ripgrep`。macOS 使用对应目标的预构建产物,并额外生成所需的 `-spawn-helper`。四个部署标志都有实测依据:未启用 `inject-workspace-packages` 时必须使用 `--legacy`;`hoisted` 为 pkg 提供稳定的单实例布局,再由显式物化步骤消除符号链接;关闭对等依赖自动安装可防止未声明的对等依赖扩大闭包;`link-workspace-packages` 选择直接工作区依赖。[`pnpm-workspace.yaml`](../../../../pnpm-workspace.yaml) 将传递的 `@deepseek-ai/cosmokit` 与 `@deepseek-ai/schemastery` semver 请求覆盖到固定的 vendor 源码,使 legacy deploy 不会从注册表解析这些未发布名称。
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[`scripts/build-exe-for-python-sdk.ts`](../../../../scripts/build-exe-for-python-sdk.ts):运行时闭包校验 → `pnpm run build` →(清空后)`pnpm --filter dsh-python-runtime-closure deploy --legacy --prod --config.node-linker=hoisted --config.auto-install-peers=false --config.link-workspace-packages=true` **直接写入** `python/sdk-runtime/src/deepseek_harness_runtime/runtime/node/` → 恢复 legacy deploy 遗漏的直接工作区包,并拒绝剩余的 manifest 缺口 → 将暂存依赖中的符号链接替换为目标文件内容,删除包管理器的 `.bin` 链接,并在仍有任何符号链接时失败 → 注入 pkg 配置,其中 bin 为 `node_modules/@deepseek-ai/dsh/lib/bin.js`,assets 覆盖动态读取的 profile、bundle、前端、preset、原生库与配置文件 → 暂存目标平台的 `node-pty` addon → 每个构建目标调用一次 `pkg --sea` → 将 `deepseek-harness-sdk-runtime-<platform>-<arch>` 写入 `dist-exe/` 并拷回运行时目录。Linux CI 会在匹配的 manylinux 2.28 容器中重新构建 `pty.node`,因为 legacy deploy 会遗漏这一安装副作用。每个目标都会把对应的原生 `@vscode/ripgrep` 二进制复制到可执行文件旁,作为必需的 `-rg` 伴随文件;pkg 运行时通过 `process.pkg` 选择该伴随文件,普通 Node 执行则直接使用 `@vscode/ripgrep`。macOS 使用对应目标的预构建产物,并额外生成所需的 `-spawn-helper`。四个部署标志都有实测依据:未启用 `inject-workspace-packages` 时必须使用 `--legacy`;`hoisted` 为 pkg 提供稳定的单实例布局,再由显式物化步骤消除符号链接;关闭对等依赖自动安装可防止未声明的对等依赖扩大闭包;`link-workspace-packages` 选择直接工作区依赖。[`pnpm-workspace.yaml`](../../../../pnpm-workspace.yaml) 将传递的 `@deepseek-ai/cosmokit` 与 `@deepseek-ai/schemastery` semver 请求覆盖到固定的 vendor 源码,使 legacy deploy 不会从注册表解析这些未发布名称。
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CI 使用 [`.github/workflows/build-exe-for-python-sdk.yml`](../../../../.github/workflows/build-exe-for-python-sdk.yml):[安装后 wheel Python 运行时拉取请求验证](../testing/2026-08-23-installed-python-wheel-black-box-ci.zh.md)与[公开发布工作流](../process/2026-08-11-python-publication-workflow.zh.md)都会调用它构建全部四个目标;`workflow_dispatch` 与 `build-exe` 标签仍可选择部分目标。linux-x64、linux-arm64(`ubuntu-24.04-arm`)、macos-arm64 与 win-x64(`windows-2025`)分别进行原生构建,并在适用平台缓存 `~/.pkg-cache`;macOS 的 ad-hoc 签名由 pkg 处理。每个平台都把发布形态的 SDK wheel 包与运行时 wheel 包安装到 checkout 外的干净 venv,证明包与可执行文件来源,再通过公开 SDK 与直接 NDJSON JSON-RPC 运行完整 keyless 场景。可信拉取请求还会在每个目标上运行真实 DeepSeek 双轮工具冒烟测试;fork 与 Dependabot head 不会获得密钥。Linux 会检查可执行文件和原生 addon 各自的 GLIBC 依赖,并额外运行 manylinux 2.28 冒烟测试;macOS 则验证可执行文件的部署目标符合 wheel 包标签。完整构建四个目标时保留 5 个产物,每个产物只含一个发布文件:平台无关的 SDK wheel 包与 4 个原生运行时 wheel 包;手动选择部分目标时保留 SDK wheel 与所选运行时 wheel。裸 exe 与源码包只作为测试中间输入。[`.gitlab-ci.yml`](../../../../.gitlab-ci.yml) 只接受版本与根目录 `package.json` 匹配的 `python-v<repository-version>` 标签流水线,构建一个 SDK wheel 包和 4 个原生运行时 wheel 包,再由单个串行任务校验并将这 5 个文件发布到项目的 PyPI 注册表。[Windows x64 运行时决策](2026-08-23-python-sdk-windows-x64-runtime.zh.md)负责第四个目标及对 Windows arm64 的明确排除。
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CI 使用 [`.github/workflows/build-exe-for-python-sdk.yml`](../../../../.github/workflows/build-exe-for-python-sdk.yml):[安装后 wheel Python 运行时拉取请求验证](../testing/2026-08-23-installed-python-wheel-black-box-ci.zh.md)与[公开发布工作流](../process/2026-08-11-python-publication-workflow.zh.md)都会调用它构建全部四个目标;`workflow_dispatch` 仍可选择部分目标。linux-x64、linux-arm64(`ubuntu-24.04-arm`)、macos-arm64 与 win-x64(`windows-2025`)分别进行原生构建,并在适用平台缓存 `~/.pkg-cache`;macOS 的 ad-hoc 签名由 pkg 处理。每个平台都把发布形态的 SDK wheel 包与运行时 wheel 包安装到 checkout 外的干净 venv,证明包与可执行文件来源,再通过公开 SDK 与直接 NDJSON JSON-RPC 运行完整 keyless 场景。可信拉取请求还会在每个目标上运行真实 DeepSeek 双轮工具冒烟测试;fork 与 Dependabot head 不会获得密钥。Linux 会检查可执行文件和原生 addon 各自的 GLIBC 依赖,并额外运行 manylinux 2.28 冒烟测试;macOS 则验证可执行文件的部署目标符合 wheel 包标签。完整构建四个目标时保留 5 个产物,每个产物只含一个发布文件:平台无关的 SDK wheel 包与 4 个原生运行时 wheel 包;手动选择部分目标时保留 SDK wheel 与所选运行时 wheel。裸 exe 与源码包只作为测试中间输入。[`.gitlab-ci.yml`](../../../../.gitlab-ci.yml) 只接受版本与根目录 `package.json` 匹配的 `python-v<repository-version>` 标签流水线,构建一个 SDK wheel 包和 4 个原生运行时 wheel 包,再由单个串行任务校验并将这 5 个文件发布到项目的 PyPI 注册表。[Windows x64 运行时决策](2026-08-23-python-sdk-windows-x64-runtime.zh.md)负责第四个目标及对 Windows arm64 的明确排除。
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### Python SDK 分发:双载体,exe 用于生产,`node` 用于开发
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### Python SDK 分发:双载体,exe 用于生产,`node` 用于开发
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@@ -4,9 +4,10 @@ name: Build single-exe
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# .agents/notes/implemented/architecture/2026-07-10-single-file-executable-sdk-runtime-distribution.md.
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# .agents/notes/implemented/architecture/2026-07-10-single-file-executable-sdk-runtime-distribution.md.
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# A full target run retains one SDK wheel and four runtime wheels; subset
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# A full target run retains one SDK wheel and four runtime wheels; subset
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# dispatch retains the SDK wheel and selected runtime wheels. Bare executables
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# dispatch retains the SDK wheel and selected runtime wheels. Bare executables
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# and source closures are test inputs. Run manually, label a PR `build-exe`
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# and source closures are test inputs. Run manually or call it from the Python
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# (remove and reapply to rerun), or call it from the Python release workflow.
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# release workflow. There is no `pull_request` trigger: a label trigger would
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# Checkout uses the triggering ref, so dispatch needs no separate ref input.
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# list gray skipped checks on every unrelated PR label event. Checkout uses the
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# triggering ref, so dispatch needs no separate ref input.
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on:
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on:
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workflow_call:
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workflow_call:
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inputs:
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inputs:
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type: string
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type: string
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required: false
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required: false
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default: ''
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default: ''
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pull_request:
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types: [labeled]
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concurrency:
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concurrency:
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# Keep the called workflow distinct from its caller's concurrency group;
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# Keep the called workflow distinct from its caller's concurrency group;
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# construct the matrix before the dependent jobs.
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# construct the matrix before the dependent jobs.
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plan:
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plan:
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name: plan targets
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if: inputs.ci || inputs.release || github.event_name == 'workflow_dispatch' || github.event.label.name == 'build-exe'
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if: inputs.ci || inputs.release || github.event_name == 'workflow_dispatch'
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runs-on: ubuntu-latest
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runs-on: ubuntu-latest
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timeout-minutes: 5
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timeout-minutes: 5
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outputs:
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outputs:
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- name: Compute matrix from targets input
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- name: Compute matrix from targets input
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id: plan
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env:
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env:
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# Label runs and blank dispatch inputs build all targets.
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# Blank dispatch inputs build all targets.
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TARGETS: ${{ inputs.targets || 'node24-linux-x64,node24-linux-arm64,node24-macos-arm64,node24-win-x64' }}
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TARGETS: ${{ inputs.targets || 'node24-linux-x64,node24-linux-arm64,node24-macos-arm64,node24-win-x64' }}
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run: |
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run: |
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set -euo pipefail
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set -euo pipefail
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it('exposes the native wheel builder to the release caller with normalized versions', () => {
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it('exposes the native wheel builder to the release caller with normalized versions', () => {
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const workflow = loadWorkflow('.github/workflows/build-exe-for-python-sdk.yml')
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const workflow = loadWorkflow('.github/workflows/build-exe-for-python-sdk.yml')
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expect(Object.keys(workflow.on as Record<string, unknown>).sort()).toEqual(['workflow_call', 'workflow_dispatch'])
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const call = workflowEvent(workflow, 'workflow_call')
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const call = workflowEvent(workflow, 'workflow_call')
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const plan = workflowJob(workflow, 'plan')
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const plan = workflowJob(workflow, 'plan')
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const build = workflowJob(workflow, 'build')
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const build = workflowJob(workflow, 'build')
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