26 Commits

Author SHA1 Message Date
089f00c3ff feat(tools): add screencast recording engine
Adds tools/screencast/ — a reusable screen-recording pipeline for
skill demo videos. Wraps a pytest desktop E2E run with:
  - ScreenRecorder: mss-based full-screen frame capture (background thread)
  - SubtitleEngine: stdout keyword → timestamped SRT generation
  - compose_video: FFmpeg filter_complex merge (video + subtitles + BGM)
  - run_screencast: main orchestrator wiring all three layers

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-17 20:38:47 +08:00
20294fd23a 新增依赖 2026-05-06 19:33:46 +08:00
f52d7fc352 ci(publish): use repository-level PACKAGE_TOKEN secret
All checks were successful
Publish Python Package to Gitea / publish (push) Successful in 19s
2026-05-06 18:21:35 +08:00
cff1408d87 ci(publish): use repository-level PACKAGE_TOKEN secret 2026-05-06 18:15:22 +08:00
f55c7bdc52 ci(publish): use auto-injected github.token with explicit permissions 2026-05-06 18:07:10 +08:00
ebdd8b562d ci(publish): align with internal runner conventions (python3.12 + intra-Gitea checkout + cn mirrors)
Some checks failed
Publish Python Package to Gitea / publish (push) Failing after 31s
2026-05-06 17:28:13 +08:00
d2dbb5f61e 重构项目路径
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Publish Python Package to Gitea / publish (push) Failing after 59s
2026-05-06 17:16:09 +08:00
8bbf5084f5 修改打包将test打包进去 2026-05-06 11:47:17 +08:00
b9cd4dacec 优化代码 2026-04-23 11:04:44 +08:00
d6ad90a7db 提交修改 2026-04-22 15:51:37 +08:00
2174b2b573 加入匠厂桌面测试 2026-04-20 13:40:53 +08:00
71a9ab1700 提交修改 2026-04-19 15:35:47 +08:00
ca117cb5ac 提交修改 2026-04-19 15:17:57 +08:00
892cf837a6 调整流水线 2026-04-16 15:06:49 +08:00
a6bbd89350 调整流水线 2026-04-16 13:58:32 +08:00
8778d641ab 调整流水线 2026-04-16 13:46:19 +08:00
5037d83b3d 调整流水线 2026-04-16 13:41:36 +08:00
8154de452b 调整流水线 2026-04-16 13:29:45 +08:00
0bb6707e68 调整流水线 2026-04-16 11:49:06 +08:00
4b15c6d99c ci: sync readme_md and description from references/README.md with SKILL.md fallback
Made-with: Cursor
2026-04-12 09:10:58 +08:00
4856167682 ci: deploy 用 cp 替代 rsync;同步 contrib 模板;更新产品说明 2026-04-10 13:39:54 +08:00
c67487ba16 ci: add reusable-release-frontend for static sites (fangzhen) 2026-04-10 13:31:08 +08:00
69702f8ea2 ci: add reusable-release-frontend for static sites (fangzhen) 2026-04-10 12:04:51 +08:00
60b4f7a77f release: python-runtime README, runtime_env sdk 2026-04-08 14:01:23 +08:00
7ac6e39ff9 release: python-runtime, runtime_env sync, docs 2026-04-08 12:06:14 +08:00
9926eb04cb chore: get_sibling_skills_root prefer co-located inference over env
Made-with: Cursor
2026-04-07 10:37:36 +08:00
32 changed files with 2259 additions and 53 deletions

39
.github/workflows/publish.yml vendored Normal file
View File

@@ -0,0 +1,39 @@
name: Publish Python Package to Gitea
on:
push:
tags:
- 'v*'
workflow_dispatch:
jobs:
publish:
runs-on: ubuntu-latest
defaults:
run:
shell: bash
env:
PIP_BREAK_SYSTEM_PACKAGES: "1"
PATH: /usr/local/bin:/usr/local/python3.12/bin:/usr/bin:/bin:/usr/local/sbin:/usr/sbin
PIP_INDEX_URL: https://pypi.tuna.tsinghua.edu.cn/simple
PIP_EXTRA_INDEX_URL: https://mirrors.aliyun.com/pypi/simple https://mirrors.cloud.tencent.com/pypi/simple https://mirrors.huaweicloud.com/repository/pypi/simple
PIP_DEFAULT_TIMEOUT: "180"
PIP_TRUSTED_HOST: pypi.tuna.tsinghua.edu.cn mirrors.aliyun.com mirrors.cloud.tencent.com mirrors.huaweicloud.com files.pythonhosted.org pypi.org
steps:
- uses: https://git.jc2009.com/admin/actions-checkout@v4
- name: Install build tools
run: python3.12 -m pip install --upgrade build twine --break-system-packages
- name: Build distributions
run: python3.12 -m build
- name: Publish to Gitea Package Registry
env:
TWINE_USERNAME: admin
TWINE_PASSWORD: ${{ secrets.PACKAGE_TOKEN }}
run: |
python3.12 -m twine upload \
--repository-url https://git.jc2009.com/api/packages/client-jiangchang/pypi \
dist/*

View File

@@ -0,0 +1,115 @@
# Standalone reusable workflow for Node/Vite static sites.
# Does not reference reusable-release-skill.yaml; skill workflows remain unchanged.
#
# Node请在 Runner 上预装 Node 20+(勿用 actions/setup-node避免每次从 GitHub 拉包)。
# npm通过 npm_registry 输入使用国内镜像(默认 npmmirror
# Checkout不用 actions/checkouthost 模式下 JS Action 仍会进无 Node 的容器);改用 git + github.token。
# 重要act_runner 会把 run: 脚本写到 $GITHUB_WORKSPACE/workflow/*.sh
# 所以 checkout 绝对不能在 workspace 根上 rm -rf ./*,否则会把自己这个脚本一起删了。
# 解决办法:克隆到 $GITHUB_WORKSPACE/_src 子目录,后续 step 都在该子目录操作。
# 浅拉不要用「裸 SHA」作 fetch 参数Gitea 上易失败);按分支 clone 再对齐 SHA。
name: Reusable Frontend Deploy
on:
workflow_call:
inputs:
deploy_path:
description: "Target directory for static files (trailing slash optional)"
required: false
type: string
default: "/www/wwwroot/sandbox/web"
build_command:
required: false
type: string
default: "npm run build:jc2009"
npm_registry:
description: "npm registry (e.g. npmmirror for CN)"
required: false
type: string
default: "https://registry.npmmirror.com"
runs_on:
description: "Runner label; must match a registered runner"
required: false
type: string
default: "ubuntu-latest"
chown_www:
description: "Run chown -R www:www after sync (requires permission on runner)"
required: false
type: boolean
default: true
jobs:
build-and-deploy:
runs-on: ${{ inputs.runs_on }}
defaults:
run:
shell: bash
working-directory: ${{ github.workspace }}/_src
env:
NPM_CONFIG_REGISTRY: ${{ inputs.npm_registry }}
steps:
- name: Checkout
# 这一步在 workspace 根执行,不能用默认的 _src此时还不存在
working-directory: ${{ github.workspace }}
env:
GITEA_HOST: git.jc2009.com
GITEA_TOKEN: ${{ github.token }}
GITHUB_TOKEN: ${{ github.token }}
run: |
set -euo pipefail
git config --global --add safe.directory '*'
REPO="${{ github.repository }}"
SHA="${{ github.sha }}"
BRANCH="${{ github.ref_name }}"
TOKEN="${GITEA_TOKEN:-${GITHUB_TOKEN:-}}"
test -n "$TOKEN" || { echo "Checkout: empty token (github.token not available to this job)"; exit 1; }
URL="https://x-access-token:${TOKEN}@${GITEA_HOST}/${REPO}.git"
SRC_DIR="${GITHUB_WORKSPACE}/_src"
# 只清理 _src不动 workspace 根(保护 runner 写入的 workflow/*.sh
rm -rf "$SRC_DIR"
git clone --depth 1 --branch "$BRANCH" "$URL" "$SRC_DIR"
cd "$SRC_DIR"
if [ "$(git rev-parse HEAD)" != "$SHA" ]; then
git fetch --depth 200 origin "refs/heads/${BRANCH}"
git checkout --force "$SHA"
fi
echo "Checked out $(git rev-parse HEAD) to $SRC_DIR"
- name: Check Node.js (pre-installed on runner)
run: |
set -e
command -v node >/dev/null || { echo "Runner 上未找到 node请先安装 Node 20+"; exit 1; }
command -v npm >/dev/null || { echo "Runner 上未找到 npm"; exit 1; }
node -v
npm -v
NODE_MAJOR=$(node -p "process.versions.node.split('.')[0]")
test "$NODE_MAJOR" -ge 20 || { echo "需要 Node 20 及以上,当前: $(node -v)"; exit 1; }
- name: Install dependencies
run: npm ci
- name: Build
run: ${{ inputs.build_command }}
- name: Deploy (sync dist to web root)
run: |
set -euo pipefail
test -d dist
DEST="${{ inputs.deploy_path }}"
DEST="${DEST%/}"
mkdir -p "$DEST"
# 宝塔面板会自动生成 .user.ini(并加 immutable 属性)和 .htaccess,跳过它们
find "$DEST" -mindepth 1 -maxdepth 1 \
! -name ".user.ini" \
! -name ".htaccess" \
-exec rm -rf {} +
cp -a dist/. "$DEST/"
- name: Set ownership for Nginx (Baota www)
run: |
if [ "${{ inputs.chown_www }}" != "true" ]; then exit 0; fi
DEST="${{ inputs.deploy_path }}"
DEST="${DEST%/}"
chown -R www:www "$DEST" || chown -R nginx:nginx "$DEST" || true

View File

@@ -3,6 +3,11 @@ name: Reusable Skill Release
on:
workflow_call:
inputs:
runs_on:
description: "Runner label; must match a registered runner (use host runner for pip/python on same machine as Node frontend)"
required: false
type: string
default: ubuntu-latest
artifact_platform:
required: false
type: string
@@ -30,23 +35,30 @@ on:
jobs:
build-and-deploy:
runs-on: ubuntu-latest
runs-on: ${{ inputs.runs_on }}
defaults:
run:
shell: bash
env:
ARTIFACT_PLATFORM: ${{ inputs.artifact_platform }}
PYARMOR_PLATFORM: ${{ inputs.pyarmor_platform }}
PIP_BREAK_SYSTEM_PACKAGES: "1"
# Prefer self-built Python 3.12 under /usr/local (Alibaba Cloud Linux host); keep system paths as fallback.
# 显式前缀,避免部分 Runner 未注入 env.PATH 时丢失系统路径
PATH: /usr/local/bin:/usr/local/python3.12/bin:/usr/bin:/bin:/usr/local/sbin:/usr/sbin
# PyArmor 交叉平台加密时会内部执行 pip 安装 pyarmor.cli.core.* 等包;不设则默认走 files.pythonhosted.org国内 CI 易超时。
PIP_INDEX_URL: https://pypi.tuna.tsinghua.edu.cn/simple
PIP_EXTRA_INDEX_URL: https://mirrors.aliyun.com/pypi/simple https://mirrors.cloud.tencent.com/pypi/simple https://mirrors.huaweicloud.com/repository/pypi/simple
PIP_DEFAULT_TIMEOUT: "180"
PIP_TRUSTED_HOST: pypi.tuna.tsinghua.edu.cn mirrors.aliyun.com mirrors.cloud.tencent.com mirrors.huaweicloud.com files.pythonhosted.org pypi.org
steps:
- uses: http://120.25.191.12:3000/admin/actions-checkout@v4
- uses: https://git.jc2009.com/admin/actions-checkout@v4
# Pin PyArmor 8.5.3 — matches desktop bundles; 9.x trial is stricter in CI。
# 镜像由 job envPIP_INDEX_URL / PIP_EXTRA_INDEX_URL统一指定与 Encrypt 步骤中 PyArmor 内部 pip 一致。
# 使用 python3.12 -m pip避免仅存在 python3(3.6) 或裸 pip 不在 PATH 的宿主机/容器。
- name: Setup Tools
run: pip install "pyarmor==8.5.3" requests python-frontmatter --break-system-packages
run: python3.12 -m pip install "pyarmor==8.5.3" requests python-frontmatter --break-system-packages
- name: Register PyArmor (optional)
env:
@@ -55,28 +67,86 @@ jobs:
if [ -z "${PYARMOR_REG_B64}" ]; then
echo "PyArmor: no PYARMOR_REG_B64 secret — trial mode (very large single .py modules may fail to obfuscate)."
else
python -c "import os,base64,pathlib,subprocess; p=pathlib.Path('/tmp/pyarmor-reg.zip'); p.write_bytes(base64.standard_b64decode(os.environ['PYARMOR_REG_B64'])); subprocess.run(['pyarmor','reg',str(p)],check=True); p.unlink(missing_ok=True)"
python3.12 -c "import os,base64,pathlib,subprocess; os.environ['PATH']='/usr/local/bin:/usr/local/python3.12/bin:'+os.environ.get('PATH',''); p=pathlib.Path('/tmp/pyarmor-reg.zip'); p.write_bytes(base64.standard_b64decode(os.environ['PYARMOR_REG_B64'])); subprocess.run(['pyarmor','reg',str(p)],check=True); p.unlink(missing_ok=True)"
fi
# 递归加密整个 scripts/(含 cli、service、db、util 等子包);产物保留与源码一致的 scripts/ 层级,入口为 scripts/main.py。
# Obfuscate scripts recursively. Copy package support files as plain text.
- name: Encrypt Source Code
run: |
export PATH="/usr/local/bin:/usr/local/python3.12/bin:${PATH:-}"
mkdir -p dist/package/scripts
set -euo pipefail
test -d scripts
( cd scripts && pyarmor gen --platform "${PYARMOR_PLATFORM}" -r -O ../dist/package/scripts . )
cp SKILL.md dist/package/
if [ -d references ]; then cp -r references dist/package/; fi
if [ -d assets ]; then cp -r assets dist/package/; fi
printf '%s\n' \
'import os' \
'import shutil' \
'' \
"PACKAGE = 'dist/package'" \
'' \
'def common_ignore(dir_path, names):' \
' ignored = set()' \
' for name in names:' \
' lower = name.lower()' \
" if name in ('__pycache__', '.pytest_cache', 'artifacts'):" \
' ignored.add(name)' \
" elif lower.endswith('.pyc') or lower.endswith('.pyo') or lower.endswith('.db'):" \
' ignored.add(name)' \
' return list(ignored)' \
'' \
"ref_src = os.path.abspath('references')" \
'' \
'def references_ignore(dir_path, names):' \
' ignored = set(common_ignore(dir_path, names))' \
" if os.path.abspath(dir_path) == ref_src and 'REQUIREMENTS.md' in names:" \
" ignored.add('REQUIREMENTS.md')" \
' return list(ignored)' \
'' \
'def copy_dir(src, dst, ignore_fn):' \
' if os.path.isdir(src):' \
' shutil.copytree(src, dst, ignore=ignore_fn, dirs_exist_ok=True)' \
'' \
"shutil.copy2('SKILL.md', os.path.join(PACKAGE, 'SKILL.md'))" \
"copy_dir('references', os.path.join(PACKAGE, 'references'), references_ignore)" \
"copy_dir('assets', os.path.join(PACKAGE, 'assets'), common_ignore)" \
"copy_dir('tests', os.path.join(PACKAGE, 'tests'), common_ignore)" \
"copy_dir('evals', os.path.join(PACKAGE, 'evals'), common_ignore)" \
'' \
"print('Package top-level entries:')" \
'for name in sorted(os.listdir(PACKAGE)):' \
" print(' -', name)" \
> /tmp/package_skill_release_copy.py
python3.12 /tmp/package_skill_release_copy.py
- name: Parse Metadata and Pack
id: build_task
run: |
python -c "
python3.12 -c "
import frontmatter, os, json, shutil
post = frontmatter.load('SKILL.md')
metadata = dict(post.metadata or {})
metadata['readme_md'] = (post.content or '').strip()
skill_readme_md = (post.content or '').strip()
skill_description = metadata.get('description')
metadata['readme_md'] = skill_readme_md
readme_path = os.path.join('references', 'README.md')
if os.path.isfile(readme_path):
try:
readme_post = frontmatter.load(readme_path)
body = (readme_post.content or '').strip()
rm_meta = readme_post.metadata or {}
desc = rm_meta.get('description')
if desc is not None and str(desc).strip():
metadata['description'] = str(desc).strip()
if body:
metadata['readme_md'] = body
except Exception:
pass
if not (metadata.get('readme_md') or '').strip():
metadata['readme_md'] = skill_readme_md
if skill_description is not None and not str(metadata.get('description', '') or '').strip():
metadata['description'] = skill_description
openclaw_meta = metadata.get('metadata', {}).get('openclaw', {})
slug = (openclaw_meta.get('slug') or metadata.get('slug') or metadata.get('name') or '').strip()
if not slug:
@@ -102,7 +172,7 @@ jobs:
METADATA_JSON: ${{ steps.build_task.outputs.metadata }}
SYNC_URL: ${{ inputs.sync_url }}
run: |
python -c "
python3.12 -c "
import requests, json, os
metadata = json.loads(os.environ['METADATA_JSON'])
res = requests.post(os.environ['SYNC_URL'], json=metadata)
@@ -121,7 +191,7 @@ jobs:
ARTIFACT_PLATFORM: ${{ steps.build_task.outputs.artifact_platform }}
UPLOAD_URL: ${{ inputs.upload_url }}
run: |
python -c "
python3.12 -c "
import requests, os
slug = os.environ['SLUG']
version = os.environ['VERSION']
@@ -148,7 +218,7 @@ jobs:
VERSION: ${{ steps.build_task.outputs.version }}
PRUNE_URL: ${{ inputs.prune_url }}
run: |
python -c "
python3.12 -c "
import requests, os
payload = {
'name': os.environ['SLUG'],

5
.gitignore vendored
View File

@@ -1,3 +1,8 @@
__pycache__/
*.py[cod]
**/*.egg-info/
.env
.python-version
build/
dist/
python-runtime/.venv/

View File

@@ -1,7 +1,65 @@
# jiangchang-platform-kit
Shared platform components for Jiangchang skills:
## 1. 项目简介
- `sdk/jiangchang_skill_core`: entitlement SDK package.
- `.github/workflows/reusable-release-skill.yaml`: reusable CI release workflow.
- `examples/workflows/use-reusable-release-skill.yaml`: caller workflow sample.
匠厂平台共享 Python SDK在同一发行包中提供 **Skill 侧通用能力**(权益校验、统一日志与运行环境解析)与 **桌面应用自动化能力**(通过 CDP 连接匠厂客户端,驱动聊天与断言)。
## 2. 安装方式
```bash
pip install jiangchang-platform-kit --index-url https://git.jc2009.com/api/packages/client-jiangchang/pypi/simple/
```
## 3. 包含的模块
- **jiangchang_skill_core**:权益 HTTP 客户端、`enforce_entitlement`、统一文件日志、`JIANGCHANG_*` 数据根与技能根路径解析等,供 Skill CLI / 服务进程使用。
- **jiangchang_desktop_sdk**:匠厂桌面应用自动化客户端(基于 CDP + Playwright 同步 API。**本包不声明 Playwright 依赖**;请在运行环境中自行安装 Playwright以便 `import playwright` 可用。
## 4. 快速开始
### jiangchang_skill_core
```python
import os
from jiangchang_skill_core import (
EntitlementClient,
enforce_entitlement,
setup_skill_logging,
get_skill_logger,
)
os.environ.setdefault("JIANGCHANG_AUTH_BASE_URL", "https://auth.example.com")
os.environ.setdefault("JIANGCHANG_AUTH_API_KEY", "secret")
setup_skill_logging(skill_slug="demo-skill", logger_name="demo")
log = get_skill_logger()
log.info("skill started")
# client = EntitlementClient()
# enforce_entitlement(user_id="u1", skill_slug="demo-skill")
```
### jiangchang_desktop_sdk
```python
from jiangchang_desktop_sdk import JiangchangDesktopClient, AskOptions
# 需已安装 playwright且匠厂客户端可按 CDP 端口暴露调试接口
client = JiangchangDesktopClient()
client.ensure_app_running(wait_timeout_s=30.0)
try:
answer = client.ask("你好", options=AskOptions(new_task=True))
print(answer)
finally:
client.disconnect()
```
## 5. 发版流程(维护者)
```bash
git tag v0.1.0
git push origin v0.1.0
# CI 自动打包并发布到 Gitea Package Registry见 .github/workflows/publish.yml
```
仓库内还保留 `examples/``tools/``python-runtime/` 目录及既有 Skill / 前端相关的 GitHub Actions 工作流,与本 PyPI 包的发布彼此独立。

View File

@@ -5,8 +5,7 @@ on:
jobs:
release:
uses: admin/jiangchang-platform-kit/.github/workflows/reusable-release-skill.yaml@v0.1.0
uses: client-jiangchang/jiangchang-platform-kit/.github/workflows/reusable-release-skill.yaml@v0.1.0
with:
artifact_platform: windows
pyarmor_platform: windows.x86_64
include_readme_md: false

22
pyproject.toml Normal file
View File

@@ -0,0 +1,22 @@
[build-system]
requires = ["setuptools>=61.0", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "jiangchang-platform-kit"
version = "0.1.0"
description = "匠厂平台共享组件:Skill 实体 SDK + 桌面应用自动化 SDK"
readme = "README.md"
requires-python = ">=3.10"
license = "MIT"
authors = [{ name = "client-jiangchang" }]
dependencies = [
"requests>=2.31.0",
"playwright>=1.42.0",
]
[project.urls]
Repository = "https://git.jc2009.com/client-jiangchang/jiangchang-platform-kit"
[tool.setuptools.packages.find]
where = ["src"]

12
python-runtime/README.md Normal file
View File

@@ -0,0 +1,12 @@
# 匠厂共享 Python 运行时目录JIANGCHANG
本目录保留为技能运行时安装的**目标路径约定**:宿主可将第三方依赖集合同步到用户机器的
`{JIANGCHANG_DATA_ROOT}/python-runtime/`
并在该目录维护虚拟环境(例如使用 `uv sync``pip install -r requirements.txt`)。
**说明**:本仓库已改为在根目录通过 `pyproject.toml` 发布 **`jiangchang-platform-kit`** 单一 Python 包;原先在此处单独声明的 `pyproject.toml` / `uv.lock` 已移除。
Playwright、OpenAI SDK 等与具体技能相关的依赖,请由各技能或宿主 **`resources/jiangchang-python-runtime/`**(桌面应用内嵌模板)继续维护;与本仓库中的 SDK 包版本号无关。
**Playwright**:仅安装 Python 包 `playwright` 即可;技能可通过 **`channel=chrome` / `msedge`** 使用用户本机已安装的 Chrome 或 Edge。宿主流程一般不必执行 `playwright install chromium`(除非你希望使用自带 Chromium

View File

@@ -1,19 +0,0 @@
[build-system]
requires = ["setuptools>=68", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "jiangchang-skill-core"
version = "0.1.0"
description = "Common entitlement SDK for Jiangchang skills"
requires-python = ">=3.10"
dependencies = [
"requests>=2.31.0",
]
[tool.setuptools]
package-dir = {"" = "."}
[tool.setuptools.packages.find]
where = ["."]
include = ["jiangchang_skill_core*"]

View File

@@ -0,0 +1,38 @@
from .exceptions import (
AppNotFoundError,
AssertError,
ConnectionError,
GatewayDownError,
JiangchangDesktopError,
LaunchError,
TimeoutError,
)
from .types import AskOptions, AssertOptions, JiangchangMessage, LaunchOptions
__all__ = [
"JiangchangDesktopClient",
"JiangchangMessage",
"AskOptions",
"LaunchOptions",
"AssertOptions",
"JiangchangDesktopError",
"AppNotFoundError",
"ConnectionError",
"TimeoutError",
"AssertError",
"LaunchError",
"GatewayDownError",
]
__version__ = "0.1.0"
def __getattr__(name: str):
if name == "JiangchangDesktopClient":
from .client import JiangchangDesktopClient
return JiangchangDesktopClient
raise AttributeError(f"module {__name__!r} has no attribute {name!r}")
def __dir__() -> list[str]:
return sorted({*__all__, "__version__"})

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@@ -0,0 +1,27 @@
class JiangchangDesktopError(Exception):
"""基类"""
pass
class AppNotFoundError(JiangchangDesktopError):
"""Electron 可执行文件找不到时抛出"""
pass
class ConnectionError(JiangchangDesktopError, ConnectionError):
"""连接桌面应用失败时抛出"""
pass
class TimeoutError(JiangchangDesktopError, TimeoutError):
"""操作超时"""
pass
class AssertError(JiangchangDesktopError):
"""断言失败时抛出,消息要包含期望值和实际值"""
pass
class LaunchError(JiangchangDesktopError):
"""应用启动失败时抛出"""
pass
class GatewayDownError(JiangchangDesktopError):
"""Gateway 在等待过程中被检测到已停止/退出时抛出,便于测试立刻失败而不是空等超时。"""
pass

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@@ -0,0 +1,24 @@
# -*- coding: utf-8 -*-
"""匠厂桌面 E2E 与集成测试常用工具子包。
提供:
- ``SkillInfo`` / ``discover_skill_root`` / ``parse_skill_md``
- ``skill_healthcheck``
- ``HostAPIClient`` / ``HostAPIError``
**不提供任何会话清理能力**:测试完全模拟真实用户的 UI 操作,
真实用户从不会去后台删会话,测试也不该走底层 API / 文件系统去清。
"""
from .config import SkillInfo, discover_skill_root, parse_skill_md
from .healthcheck import HealthCheckError, skill_healthcheck
from .host_api import HostAPIClient, HostAPIError
__all__ = [
"SkillInfo",
"discover_skill_root",
"parse_skill_md",
"HealthCheckError",
"skill_healthcheck",
"HostAPIClient",
"HostAPIError",
]

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@@ -0,0 +1,137 @@
# -*- coding: utf-8 -*-
"""Skill 元信息读取。
负责:
- 定位 skill 根目录(含 SKILL.md
- 解析 SKILL.md 的 YAML frontmatter抽出 slug / version / name 等关键字段。
为避免硬性依赖 PyYAML这里用一个**足够用**的轻量正则 parser只抽取
我们真正关心的字段(顶层 `name` / `version` / `author`,嵌套 `openclaw.slug`
与 `openclaw.category`)。更复杂的 YAML 结构请自行用 PyYAML 解析。
"""
from __future__ import annotations
import os
import re
from dataclasses import dataclass
from pathlib import Path
from typing import Optional
SKILL_MD = "SKILL.md"
SKILL_ROOT_ENV = "JIANGCHANG_E2E_SKILL_ROOT"
@dataclass
class SkillInfo:
root: str
slug: str
name: str
version: str
author: str = ""
category: str = ""
def discover_skill_root(start: Optional[str] = None) -> str:
"""定位 skill 根目录。
优先级:
1. 环境变量 ``JIANGCHANG_E2E_SKILL_ROOT``(由调用方或测试入口提前注入);
2. 从 ``start``(默认 cwd向上回溯直到找到含 ``SKILL.md`` 的目录。
"""
env = (os.environ.get(SKILL_ROOT_ENV) or "").strip()
if env:
env_abs = os.path.abspath(env)
if os.path.isfile(os.path.join(env_abs, SKILL_MD)):
return env_abs
cur = Path(start or os.getcwd()).resolve()
for parent in [cur, *cur.parents]:
if (parent / SKILL_MD).exists():
return str(parent)
raise FileNotFoundError(
f"未能在 {start or os.getcwd()} 及其父目录中找到 {SKILL_MD}"
f"请设置环境变量 {SKILL_ROOT_ENV}=<skill 根目录绝对路径>。"
)
_FRONTMATTER_RE = re.compile(r"^---\s*\n(.*?)\n---\s*\n", re.DOTALL)
def _extract_frontmatter(text: str) -> str:
match = _FRONTMATTER_RE.match(text)
if not match:
raise ValueError("SKILL.md 缺少 YAML frontmatter--- ... ---)。")
return match.group(1)
def _strip_quotes(value: str) -> str:
v = value.strip()
if len(v) >= 2 and v[0] == v[-1] and v[0] in ("'", '"'):
return v[1:-1]
return v
def parse_skill_md(skill_root: str) -> SkillInfo:
"""解析 SKILL.md 的 frontmatter返回 SkillInfo。"""
md_path = Path(skill_root) / SKILL_MD
if not md_path.exists():
raise FileNotFoundError(f"SKILL.md 不存在:{md_path}")
text = md_path.read_text(encoding="utf-8")
fm = _extract_frontmatter(text)
top: dict[str, str] = {}
openclaw: dict[str, str] = {}
lines = fm.splitlines()
i = 0
while i < len(lines):
line = lines[i]
if not line.strip() or line.lstrip().startswith("#"):
i += 1
continue
# 顶层 key: value
m = re.match(r"^([A-Za-z_][\w-]*):\s*(.*)$", line)
if m:
key, rest = m.group(1), m.group(2)
if rest.strip() == "":
# 嵌套块,收集 2 空格缩进的子项
i += 1
sub: dict[str, str] = {}
while i < len(lines):
sub_line = lines[i]
if sub_line.strip() == "" or sub_line.lstrip().startswith("#"):
i += 1
continue
if not sub_line.startswith(" "):
break
sm = re.match(r"^\s+([A-Za-z_][\w-]*):\s*(.*)$", sub_line)
if sm:
sub[sm.group(1)] = _strip_quotes(sm.group(2))
i += 1
if key == "metadata":
# openclaw 在 metadata 下再下一层:
# metadata:
# openclaw:
# slug: ...
# 上面 sub 已经拿到的只是 "openclaw" 这个 key。为稳妥起见回头
# 用一个更宽松的扫描:直接找所有含 `slug:` `category:` 的行。
pass
continue
top[key] = _strip_quotes(rest)
i += 1
# openclaw.slug / category 用宽松扫描兜底(无论嵌套几层)
for line in lines:
stripped = line.lstrip()
if stripped.startswith("slug:") and "slug" not in openclaw:
openclaw["slug"] = _strip_quotes(stripped.split(":", 1)[1])
elif stripped.startswith("category:") and "category" not in openclaw:
openclaw["category"] = _strip_quotes(stripped.split(":", 1)[1])
return SkillInfo(
root=os.path.abspath(skill_root),
slug=openclaw.get("slug", "") or Path(skill_root).name,
name=top.get("name", Path(skill_root).name),
version=top.get("version", "0.0.0"),
author=top.get("author", ""),
category=openclaw.get("category", ""),
)

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@@ -0,0 +1,69 @@
# -*- coding: utf-8 -*-
"""技能健康检查。
检查项:
1. SKILL.md 成功解析,含 slug / version。
2. ``python scripts/main.py health`` 命令退出码为 0每个 skill 都约定实现)。
"""
from __future__ import annotations
import logging
import os
import subprocess
import sys
from .config import SkillInfo
logger = logging.getLogger("jiangchang_desktop_sdk.testing.healthcheck")
class HealthCheckError(RuntimeError):
"""健康检查失败。"""
def skill_healthcheck(
skill_info: SkillInfo,
*,
run_cli: bool = True,
timeout_s: float = 15.0,
) -> None:
"""对一个 skill 跑本地健康检查。失败抛 ``HealthCheckError``。"""
if not skill_info.slug:
raise HealthCheckError(f"SKILL.md 未定义 openclaw.slug{skill_info.root}")
if not skill_info.version or skill_info.version == "0.0.0":
raise HealthCheckError(f"SKILL.md 未定义 version{skill_info.root}")
if not run_cli:
return
main_py = os.path.join(skill_info.root, "scripts", "main.py")
if not os.path.isfile(main_py):
logger.warning("skill_healthcheck: %s 不存在,跳过 CLI health 检查", main_py)
return
cmd = [sys.executable, main_py, "health"]
logger.debug("skill_healthcheck: 运行 %s (cwd=%s)", cmd, skill_info.root)
try:
proc = subprocess.run(
cmd,
capture_output=True,
text=True,
timeout=timeout_s,
cwd=skill_info.root,
encoding="utf-8",
errors="replace",
)
except subprocess.TimeoutExpired as exc:
raise HealthCheckError(
f"skill_healthcheck: '{' '.join(cmd)}' 超时 {timeout_s}s"
) from exc
if proc.returncode != 0:
raise HealthCheckError(
f"skill_healthcheck: '{' '.join(cmd)}' 退出码 {proc.returncode}\n"
f"stdout: {proc.stdout[:600]}\n"
f"stderr: {proc.stderr[:600]}"
)
logger.info(
"skill_healthcheck: %s v%s OK", skill_info.slug, skill_info.version
)

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@@ -0,0 +1,82 @@
# -*- coding: utf-8 -*-
"""匠厂 Host HTTP API 的 Python 轻封装。
使用 stdlib urllib避免为 SDK 引入新运行时依赖。当前只暴露本模块
真正需要的端点健康探活、agent 列表),**不包含任何会话删除/会话
文件系统操作**——测试侧要保持"只通过 UI 操作,不走底层接口"的原则,
后续如需访问其他 host-api 端点请在此处按需添加读型方法。
Host API 默认端口:`13210`(见 jiangchang/electron/utils/config.ts 中 `CLAWX_HOST_API`)。
可通过环境变量 ``CLAWX_PORT_CLAWX_HOST_API`` 或本类的 ``port`` 参数覆盖。
"""
from __future__ import annotations
import json
import logging
import os
import urllib.error
import urllib.request
from typing import Any, Dict, Optional
DEFAULT_PORT = 13210
DEFAULT_HOST = "127.0.0.1"
logger = logging.getLogger("jiangchang_desktop_sdk.testing.host_api")
class HostAPIError(RuntimeError):
"""Host API 调用失败(网络错误或非 2xx 响应)。"""
class HostAPIClient:
def __init__(
self,
host: str = DEFAULT_HOST,
port: Optional[int] = None,
timeout: float = 10.0,
) -> None:
self.host = host
env_port = os.environ.get("CLAWX_PORT_CLAWX_HOST_API")
self.port = port or (int(env_port) if env_port else DEFAULT_PORT)
self.timeout = timeout
@property
def base_url(self) -> str:
return f"http://{self.host}:{self.port}"
def _request(self, method: str, path: str, body: Any = None) -> Any:
url = f"{self.base_url}{path}"
data = None
headers = {"Accept": "application/json"}
if body is not None:
data = json.dumps(body).encode("utf-8")
headers["Content-Type"] = "application/json"
req = urllib.request.Request(url, data=data, method=method, headers=headers)
try:
with urllib.request.urlopen(req, timeout=self.timeout) as resp:
raw = resp.read().decode("utf-8")
if not raw:
return None
try:
return json.loads(raw)
except json.JSONDecodeError:
return raw
except urllib.error.HTTPError as exc:
payload: Any
try:
payload = json.loads(exc.read().decode("utf-8"))
except Exception: # noqa: BLE001
payload = str(exc)
raise HostAPIError(f"{method} {path} -> HTTP {exc.code}: {payload}") from exc
except urllib.error.URLError as exc:
raise HostAPIError(f"{method} {path} -> {exc}") from exc
def ping(self) -> bool:
try:
self.list_agents()
return True
except HostAPIError:
return False
def list_agents(self) -> Dict[str, Any]:
return self._request("GET", "/api/agents") or {}

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@@ -0,0 +1,48 @@
from dataclasses import dataclass
from typing import Optional, List
@dataclass
class JiangchangMessage:
"""单条会话消息"""
id: str
role: str # 'user' | 'assistant' | 'system' | 'tool'
content: str
timestamp: float
is_error: bool = False
tool_call_id: Optional[str] = None
tool_name: Optional[str] = None
tool_status: Optional[str] = None # 'running' | 'completed' | 'error'
thinking_content: Optional[str] = None
@dataclass
class AskOptions:
"""ask() 方法的选项"""
timeout: int = 120000 # 毫秒
wait_for_tools: bool = True
agent_id: str = "main"
# 拟人化输入每个字符间延迟毫秒。0 = 直接 fill()。
typing_delay_ms: int = 25
# 发送方式True=按 Enter 键False=点击发送按钮
use_enter_key: bool = True
# 每次 ask 前是否自动新建任务(避免上下文污染)
new_task: bool = True
# 流式输出判稳阈值(秒):助手消息文本连续该秒数无增长视为完成
stable_seconds: float = 3.0
# 轮询间隔(秒)
poll_interval: float = 0.5
@dataclass
class LaunchOptions:
"""launch_app() 方法的选项"""
executable_path: Optional[str] = None # 默认从 JIANGCHANG_E2E_APP_PATH 环境变量读取
cdp_port: int = 9222
startup_timeout: int = 30000
headless: bool = False # 是否无头模式运行
@dataclass
class AssertOptions:
"""assert_contains() 方法的选项"""
timeout: int = 5000
match_mode: str = "contains" # 'contains' | 'regex' | 'exact'
message_index: int = -1 # -1 表示最后一条 assistant 消息
include_tools: bool = False

View File

@@ -1,4 +1,5 @@
from .client import EntitlementClient
from .errors import EntitlementDeniedError, EntitlementError, EntitlementServiceError
from .guard import enforce_entitlement
from .models import EntitlementResult
from .runtime_env import (
@@ -21,7 +22,10 @@ from .unified_logging import (
__all__ = [
"EntitlementClient",
"EntitlementDeniedError",
"EntitlementError",
"EntitlementResult",
"EntitlementServiceError",
"apply_cli_local_defaults",
"attach_unified_file_handler",
"enforce_entitlement",

View File

@@ -1,7 +1,12 @@
"""
JIANGCHANG_* 数据根与用户目录解析规则 + 可选本地 CLI 默认值
各技能 scripts/jiangchang_skill_core/ 为发布用副本 kit 保持同步
宿主在 skills.entries Gateway 中注入
- PATH 前缀{JIANGCHANG_DATA_ROOT}/python-runtime/.venv/(Scripts|bin)
- VIRTUAL_ENVJIANGCHANG_PYTHON_EXE
Playwright 使用本机 Chrome/Edgelaunch channel=chrome|msedge不依赖宿主下载的 Chromium
技能勿在仓库内维护独立 .venv共享逻辑请使用本仓库发布的 ``jiangchang-platform-kit``
其余运行时依赖 Playwright模型 SDK由宿主或技能各自的环境策略决定
"""
from __future__ import annotations
@@ -47,6 +52,8 @@ def _looks_like_skills_root(path: str) -> bool:
"content-manager",
"account-manager",
"sohu-publisher",
"toutiao-publisher",
"logistics-tracker",
"api-key-vault",
):
if os.path.isdir(os.path.join(path, marker)):
@@ -92,20 +99,22 @@ def get_skills_root() -> str:
def get_sibling_skills_root(skill_scripts_dir: str | None = None) -> str:
"""
编排子进程调用兄弟技能时用优先环境变量否则从本技能 scripts 目录推断并列根
OpenClaw 开发仓与网关 skills/<slug>/scripts 均满足技能根之上一级 = 并列根
编排子进程调用兄弟技能时用先根据本技能 scripts 目录推断并列根若目录下能识别出兄弟技能
则用之开发仓 D:\\OpenClaw 与安装目录 ~/.openclaw/skills 均满足技能根之上一级 = 并列根
避免全局 JIANGCHANG_SKILLS_ROOT / CLAW_SKILLS_ROOT 指向与当前检出不一致时错调兄弟进程
推断失败时再读上述环境变量最后回落 get_skills_root()
"""
for key in ("JIANGCHANG_SKILLS_ROOT", "CLAW_SKILLS_ROOT"):
v = (os.getenv(key) or "").strip()
if v:
return os.path.normpath(v)
if skill_scripts_dir:
scripts = os.path.abspath(skill_scripts_dir)
skill_root = os.path.dirname(scripts)
inferred = os.path.dirname(skill_root)
if _looks_like_skills_root(inferred):
return inferred
return os.path.normpath(inferred)
for key in ("JIANGCHANG_SKILLS_ROOT", "CLAW_SKILLS_ROOT"):
v = (os.getenv(key) or "").strip()
if v:
return os.path.normpath(v)
return get_skills_root()

View File

@@ -1,8 +1,6 @@
"""
统一文件日志{JIANGCHANG_DATA_ROOT}/{JIANGCHANG_USER_ID}/logs/jiangchang.log
按日轮转行内带 trace_id skill_slug便于跨技能排查
实现为各技能 scripts/jiangchang_skill_core/ 下的同名副本之源修改后请同步到各技能
"""
from __future__ import annotations

View File

@@ -25,8 +25,13 @@
.NOTES
Requires: git, PowerShell 5+
加密与 ZIP 内容由 CI 工作流 reusable-release-skill.yaml 的「Encrypt Source Code」步骤执行
scripts/ 递归 PyArmor-r,输出到包内 scripts/与源码目录树一致),并复制 SKILL.md、references/、assets/(若存在)。
加密与 ZIP 内容由 CI 工作流 reusable-release-skill.yaml 的「Encrypt Source Code」步骤执行。CI 会
- 加密 scripts/递归 PyArmor -r输出到包内 scripts/与源码目录树一致)
- 复制 SKILL.md
- 复制 references/(排除 REQUIREMENTS.md
- 复制 assets/
- 复制 tests/
- 复制 evals/(除 scripts 外均为明文;若目录不存在则跳过;复制时排除常见缓存与运行产物)
本脚本在打 tag 前会做一次 scripts/ 结构自检,避免子目录未提交却仍发布。
#>
@@ -46,7 +51,9 @@ $ErrorActionPreference = "Stop"
function Invoke-Git {
param([Parameter(Mandatory = $true)][string]$Args)
Write-Host ">> git $Args" -ForegroundColor DarkGray
& cmd /c "git $Args"
# 将 git 的 stderr 合并进 stdout避免 PowerShell 在 $ErrorActionPreference=Stop 下
# 把 "remote: ..." / "warning: LF -> CRLF" 等非错误输出误判为异常。
& cmd /c "git $Args 2>&1"
if ($LASTEXITCODE -ne 0) {
throw "git command failed: git $Args"
}
@@ -216,7 +223,9 @@ try {
Assert-SkillReleasePackagingSources -SkillRoot $skillRoot
}
$upstream = (& git rev-parse --abbrev-ref --symbolic-full-name "@{u}" 2>$null)
# 用 cmd /c + 2>&1 将 stderr 合并进 stdout避免 PowerShell 在 $ErrorActionPreference=Stop
# 下把首次发布时 "fatal: ambiguous argument '@{u}'" 之类的 stderr 误判为异常。
$upstream = & cmd /c 'git rev-parse --abbrev-ref --symbolic-full-name "@{u}" 2>&1'
$hasUpstream = ($LASTEXITCODE -eq 0)
if ($DryRun) {

View File

@@ -0,0 +1,3 @@
from .runner import run_screencast
__all__ = ["run_screencast"]

View File

@@ -0,0 +1,71 @@
"""FFmpeg 合成:帧序列 + SRT 字幕 + 背景音乐 → MP4。"""
from __future__ import annotations
import random
import subprocess
import sys
from pathlib import Path
def compose_video(
frames_dir: str,
fps: int,
subtitle_path: str,
music_dir: str,
output_path: str,
music_volume: float = 0.15,
) -> str:
frames_dir = Path(frames_dir)
subtitle_path = Path(subtitle_path)
output_path = Path(output_path)
output_path.parent.mkdir(parents=True, exist_ok=True)
# 随机选一首背景音乐
music_files = list(Path(music_dir).rglob("*.mp3"))
if not music_files:
raise FileNotFoundError(f"music_dir 下没有找到 MP3 文件: {music_dir}")
music_file = random.choice(music_files)
print(f"[screencast] 背景音乐: {music_file.name}")
# FFmpeg 字幕路径在 Windows 下需要转义冒号subtitles 滤镜内部语法)
srt_path_str = str(subtitle_path).replace("\\", "/").replace(":", "\\:")
subtitle_filter = (
f"subtitles='{srt_path_str}'"
":force_style='FontName=Arial,FontSize=28,"
"PrimaryColour=&H00FFFFFF,OutlineColour=&H00000000,"
"Outline=2,Shadow=1,Alignment=2'"
)
# 视频和音频都放进 filter_complex避免 -vf 与 -filter_complex 混用报错
filter_complex = (
f"[0:v]{subtitle_filter}[vout];"
f"[1:a]volume={music_volume},apad[aout]"
)
cmd = [
"ffmpeg", "-y",
"-framerate", str(fps),
"-i", str(frames_dir / "frame_%06d.png"),
"-i", str(music_file),
"-filter_complex", filter_complex,
"-map", "[vout]",
"-map", "[aout]",
"-c:v", "libx264",
"-preset", "fast",
"-crf", "23",
"-c:a", "aac",
"-b:a", "128k",
"-shortest",
"-pix_fmt", "yuv420p",
str(output_path),
]
print(f"[screencast] 运行 FFmpeg 合成...")
result = subprocess.run(cmd, capture_output=True, text=True, encoding="utf-8", errors="replace")
if result.returncode != 0:
print(result.stderr, file=sys.stderr)
raise RuntimeError(f"FFmpeg 合成失败,退出码 {result.returncode}")
print(f"[screencast] 输出: {output_path}")
return str(output_path)

View File

@@ -0,0 +1,48 @@
"""全屏截帧引擎,后台线程持续截图存为 PNG 帧序列。"""
from __future__ import annotations
import threading
import time
from pathlib import Path
import mss
import mss.tools
class ScreenRecorder:
def __init__(self, frames_dir: str, fps: int = 10):
self._frames_dir = Path(frames_dir)
self._fps = fps
self._stop_event = threading.Event()
self._thread: threading.Thread | None = None
self._frame_count = 0
def start(self) -> None:
self._frames_dir.mkdir(parents=True, exist_ok=True)
self._stop_event.clear()
self._frame_count = 0
self._thread = threading.Thread(target=self._capture_loop, daemon=True)
self._thread.start()
def stop(self) -> None:
self._stop_event.set()
if self._thread:
self._thread.join(timeout=10)
@property
def frame_count(self) -> int:
return self._frame_count
def _capture_loop(self) -> None:
interval = 1.0 / self._fps
with mss.mss() as sct:
monitor = sct.monitors[0] # 全屏monitor[0] 是所有显示器合并区域)
while not self._stop_event.is_set():
t0 = time.perf_counter()
img = sct.grab(monitor)
path = self._frames_dir / f"frame_{self._frame_count:06d}.png"
mss.tools.to_png(img.rgb, img.size, output=str(path))
self._frame_count += 1
elapsed = time.perf_counter() - t0
sleep = max(0.0, interval - elapsed)
time.sleep(sleep)

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mss>=9.0.1

100
tools/screencast/runner.py Normal file
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"""主编排器:录屏 + 运行 pytest + 生成字幕 + FFmpeg 合成。"""
from __future__ import annotations
import os
import subprocess
import sys
import tempfile
import time
from datetime import datetime
from pathlib import Path
from typing import List, Optional, Tuple
from .composer import compose_video
from .recorder import ScreenRecorder
from .subtitle import SubtitleEngine
def run_screencast(
skill_slug: str,
subtitle_script: List[Tuple[str, str]],
pytest_args: List[str],
output_dir: str,
media_assets_root: Optional[str] = None,
music_subdir: str = "music",
fps: int = 10,
) -> str:
"""
录制一次技能桌面 E2E 演示视频。
Args:
skill_slug: 技能唯一标识,如 "query-balance-icbc"
subtitle_script: [(关键词, 字幕文案), ...] 按顺序匹配 pytest stdout
pytest_args: 传递给 pytest 的参数列表
output_dir: 最终 MP4 输出目录
media_assets_root: media-assets 仓库本地路径;
不传时读 MEDIA_ASSETS_ROOT 环境变量,
再不存在则用默认值 D:\\OpenClaw\\client-commons\\media-assets
music_subdir: music_assets_root 下音乐子目录,默认 "music"
fps: 截帧帧率,默认 10
Returns:
输出 MP4 的绝对路径
"""
if media_assets_root is None:
media_assets_root = os.environ.get(
"MEDIA_ASSETS_ROOT",
r"D:\OpenClaw\client-commons\media-assets",
)
music_dir = str(Path(media_assets_root) / music_subdir)
output_dir_path = Path(output_dir)
output_dir_path.mkdir(parents=True, exist_ok=True)
date_str = datetime.now().strftime("%Y%m%d_%H%M%S")
base_name = f"{skill_slug}_{date_str}"
output_mp4 = output_dir_path / f"{base_name}.mp4"
subtitle_file = output_dir_path / f"{base_name}.srt"
engine = SubtitleEngine(subtitle_script)
with tempfile.TemporaryDirectory(prefix="screencast_frames_") as frames_dir:
recorder = ScreenRecorder(frames_dir, fps=fps)
print(f"[screencast] 启动录制 → {output_mp4.name}")
recorder.start()
engine.set_start_time(time.time())
try:
proc = subprocess.Popen(
[sys.executable, "-m", "pytest", *pytest_args],
stdout=subprocess.PIPE,
stderr=subprocess.STDOUT,
text=True,
encoding="utf-8",
errors="replace",
)
assert proc.stdout is not None
for line in proc.stdout:
sys.stdout.write(line)
sys.stdout.flush()
engine.process_line(line)
exit_code = proc.wait()
if exit_code != 0:
print(f"[screencast] pytest 退出码 {exit_code},录制仍继续合成")
finally:
recorder.stop()
print(f"[screencast] 录制停止,共 {recorder.frame_count}")
engine.generate_srt(str(subtitle_file))
print(f"[screencast] 字幕 → {subtitle_file.name}")
compose_video(
frames_dir=frames_dir,
fps=fps,
subtitle_path=str(subtitle_file),
music_dir=music_dir,
output_path=str(output_mp4),
)
return str(output_mp4)

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"""字幕引擎:根据 stdout 关键词打时间戳,生成 SRT 字幕文件。"""
from __future__ import annotations
import time
from dataclasses import dataclass
from pathlib import Path
from typing import List, Tuple
@dataclass
class _Entry:
start: float # 距录制开始的秒数
text: str
duration: float = 5.0 # 每条字幕默认显示 5 秒
class SubtitleEngine:
def __init__(self, script: List[Tuple[str, str]], default_duration: float = 5.0):
"""
script: [(关键词, 字幕文案), ...]
关键词大小写不敏感,每个关键词只触发一次。
"""
self._script = script
self._default_duration = default_duration
self._entries: List[_Entry] = []
self._matched: set[str] = set()
self._t0: float = 0.0
def set_start_time(self, t: float) -> None:
self._t0 = t
def process_line(self, line: str) -> None:
lower = line.lower()
for keyword, text in self._script:
if keyword in self._matched:
continue
if keyword.lower() in lower:
elapsed = time.time() - self._t0
self._entries.append(_Entry(start=elapsed, text=text, duration=self._default_duration))
self._matched.add(keyword)
def generate_srt(self, output_path: str) -> None:
def _fmt(s: float) -> str:
h = int(s // 3600)
m = int((s % 3600) // 60)
sec = int(s % 60)
ms = int((s % 1) * 1000)
return f"{h:02d}:{m:02d}:{sec:02d},{ms:03d}"
Path(output_path).parent.mkdir(parents=True, exist_ok=True)
with open(output_path, "w", encoding="utf-8") as f:
for i, e in enumerate(self._entries, 1):
f.write(f"{i}\n")
f.write(f"{_fmt(e.start)} --> {_fmt(e.start + e.duration)}\n")
f.write(f"{e.text}\n\n")

161
uv.lock generated Normal file
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