OpenCode
68a9071cf1
Local branch had diverged from origin/master (sibling commits on the same base). Rewrote local history linearly on top of origin/master, folding in all local content: exa/hot-platform discovery hunters, leaks ledger, nightly sweep orchestrator, updated .gitignore and skill docs, plus the latest hunt output and vault state. Remote-only files (vault keys, channel scripts) were restored rather than dropped, so the resulting tree is a full union of both sides.
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33 KiB
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1 line
33 KiB
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{"repo": "ahhhhmen/esg-supply-chain-watch", "files": {".github/workflows/esg_monitor.yml": {"050759088e14ffd508a968251e38df0d87ae2cb4": {"t": 1785747045.6688411, "n": 1729, "h": "ea4af686f7404b7d", "c": "name: Global ESG Daily Monitor (Daily)\n\n# 配置触发时机\non:\n schedule:\n # 北京时间每天早上 06:00（周五除外，由周报接管），UTC = BJT-8\n # UTC 22:00 = BJT 06:00(+1)，跳过周四UTC(对应周五BJT)\n - cron: '0 22 * * 0-3,5-6'\n workflow_dispatch:\n # 允许在 GitHub 网页端手动点击运行按钮\n\njobs:\n run-monitor:\n runs-on: ubuntu-latest\n timeout-minutes: 60\n\n steps:\n # 1. 检出仓库代码\n - name: Checkout Repository Code\n uses: actions/checkout@v4\n\n # 2. 部署 Python 3.10 环境\n - name: Set up Python 3.10\n uses: actions/setup-python@v5\n with:\n python-version: '3.10'\n cache: 'pip'\n\n # 3. 安装依赖\n - name: Install dependencies\n run: |\n python -m pip install --upgrade pip\n pip install -r requirements.txt\n\n # 4. 执行每日舆情情报检索（--mode daily）\n - name: Execute ESG Intelligence Agent (Daily)\n env:\n DINGTALK_WEBHOOK: ${{ secrets.DINGTALK_WEBHOOK }}\n DEEPSEEK_API_KEY: ${{ secrets.DEEPSEEK_API_KEY }}\n NOTION_TOKEN: ${{ secrets.NOTION_TOKEN }}\n NOTION_DATABASE_ID: ${{ secrets.NOTION_DATABASE_ID }}\n run: |\n python esg_intelligence_agent.py --mode daily\n\n # 5. 自动化成果回传（将新生成的 Markdown 报告推回仓库）\n - name: Commit and Push Daily Intelligence Report\n run: |\n git config --global user.name \"github-actions[bot]\"\n git config --global user.email \"github-actions[bot]@users.noreply.github.com\"\n \n # 检查报告文件和去重记忆库是否有更新\n if [ -f \"esg_global_report.md\" ]; then\n git add esg_global_report.md\n fi\n if [ -f \"logs/processed_urls.json\" ]; then\n git add logs/processed_urls.json\n fi\n \n git diff-index --quiet HEAD || git commit -m \"🤖 每日自动更新: 舆情简报与去重记忆库 ($(date +'%Y-%m-%d %H:%M'))\"\n git push\n"}, "7a93b82045c262d91b77cfe5ffcce1e83c20ba0d": {"t": 1785770055.1958377, "n": 1729, "h": "ea4af686f7404b7d", "c": "name: Global ESG Daily Monitor (Daily)\n\n# 配置触发时机\non:\n schedule:\n # 北京时间每天早上 06:00（周五除外，由周报接管），UTC = BJT-8\n # UTC 22:00 = BJT 06:00(+1)，跳过周四UTC(对应周五BJT)\n - cron: '0 22 * * 0-3,5-6'\n workflow_dispatch:\n # 允许在 GitHub 网页端手动点击运行按钮\n\njobs:\n run-monitor:\n runs-on: ubuntu-latest\n timeout-minutes: 60\n\n steps:\n # 1. 检出仓库代码\n - name: Checkout Repository Code\n uses: actions/checkout@v4\n\n # 2. 部署 Python 3.10 环境\n - name: Set up Python 3.10\n uses: actions/setup-python@v5\n with:\n python-version: '3.10'\n cache: 'pip'\n\n # 3. 安装依赖\n - name: Install dependencies\n run: |\n python -m pip install --upgrade pip\n pip install -r requirements.txt\n\n # 4. 执行每日舆情情报检索（--mode daily）\n - name: Execute ESG Intelligence Agent (Daily)\n env:\n DINGTALK_WEBHOOK: ${{ secrets.DINGTALK_WEBHOOK }}\n DEEPSEEK_API_KEY: ${{ secrets.DEEPSEEK_API_KEY }}\n NOTION_TOKEN: ${{ secrets.NOTION_TOKEN }}\n NOTION_DATABASE_ID: ${{ secrets.NOTION_DATABASE_ID }}\n run: |\n python esg_intelligence_agent.py --mode daily\n\n # 5. 自动化成果回传（将新生成的 Markdown 报告推回仓库）\n - name: Commit and Push Daily Intelligence Report\n run: |\n git config --global user.name \"github-actions[bot]\"\n git config --global user.email \"github-actions[bot]@users.noreply.github.com\"\n \n # 检查报告文件和去重记忆库是否有更新\n if [ -f \"esg_global_report.md\" ]; then\n git add esg_global_report.md\n fi\n if [ -f \"logs/processed_urls.json\" ]; then\n git add logs/processed_urls.json\n fi\n \n git diff-index --quiet HEAD || git commit -m \"🤖 每日自动更新: 舆情简报与去重记忆库 ($(date +'%Y-%m-%d %H:%M'))\"\n git push\n"}, "18f355989047db6a2635aaf175bda8b15baf9a82": {"t": 1785770056.5238655, "n": 1653, "h": "182529860758bedb", "c": "name: Global ESG Daily Monitor (Daily)\n\n# 配置触发时机\non:\n schedule:\n # 北京时间每天早上 06:00（周五除外，由周报接管），UTC = BJT-8\n # UTC 22:00 = BJT 06:00(+1)，跳过周四UTC(对应周五BJT)\n - cron: '0 22 * * 0-3,5-6'\n workflow_dispatch:\n # 允许在 GitHub 网页端手动点击运行按钮\n\njobs:\n run-monitor:\n runs-on: ubuntu-latest\n timeout-minutes: 60\n\n steps:\n # 1. 检出仓库代码\n - name: Checkout Repository Code\n uses: actions/checkout@v4\n\n # 2. 部署 Python 3.10 环境\n - name: Set up Python 3.10\n uses: actions/setup-python@v5\n with:\n python-version: '3.10'\n cache: 'pip'\n\n # 3. 安装依赖\n - name: Install dependencies\n run: |\n python -m pip install --upgrade pip\n pip install -r requirements.txt\n\n # 4. 执行每日舆情情报检索（--mode daily）\n - name: Execute ESG Intelligence Agent (Daily)\n env:\n DINGTALK_WEBHOOK: ${{ secrets.DINGTALK_WEBHOOK }}\n DEEPSEEK_API_KEY: ${{ secrets.DEEPSEEK_API_KEY }}\n NOTION_TOKEN: ${{ secrets.NOTION_TOKEN }}\n NOTION_DATABASE_ID: ${{ secrets.NOTION_DATABASE_ID }}\n run: |\n python esg_intelligence_agent.py --mode daily\n\n # 5. 自动化成果回传（将新生成的 Markdown 报告推回仓库）\n - name: Commit and Push Daily Intelligence Report\n run: |\n git config --global user.name \"github-actions[bot]\"\n git config --global user.email \"github-actions[bot]@users.noreply.github.com\"\n \n # 检查报告文件是否有更新\n if [ -f \"esg_global_report.md\" ]; then\n git add esg_global_report.md\n git diff-index --quiet HEAD || git commit -m \"🤖 每日自动更新: 舆情简报 ($(date +'%Y-%m-%d %H:%M'))\"\n git push\n else\n echo \"警告：未检测到生成的报告文件。\"\n fi\n"}, "3a28b6ce5b695b7a6104ff83277519a82c472a7e": {"t": 1785770057.9220986, "n": 1653, "h": "d4171f4304943de6", "c": "name: Global ESG Daily Monitor (Daily)\n\n# 配置触发时机\non:\n schedule:\n # 北京时间每天早上 06:00（周五除外，由周报接管），UTC = BJT-8\n # UTC 22:00 = BJT 06:00(+1)，跳过周四UTC(对应周五BJT)\n - cron: '0 22 * * 0-3,5-6'\n workflow_dispatch:\n # 允许在 GitHub 网页端手动点击运行按钮\n\njobs:\n run-monitor:\n runs-on: ubuntu-latest\n timeout-minutes: 30\n\n steps:\n # 1. 检出仓库代码\n - name: Checkout Repository Code\n uses: actions/checkout@v4\n\n # 2. 部署 Python 3.10 环境\n - name: Set up Python 3.10\n uses: actions/setup-python@v5\n with:\n python-version: '3.10'\n cache: 'pip'\n\n # 3. 安装依赖\n - name: Install dependencies\n run: |\n python -m pip install --upgrade pip\n pip install -r requirements.txt\n\n # 4. 执行每日舆情情报检索（--mode daily）\n - name: Execute ESG Intelligence Agent (Daily)\n env:\n DINGTALK_WEBHOOK: ${{ secrets.DINGTALK_WEBHOOK }}\n DEEPSEEK_API_KEY: ${{ secrets.DEEPSEEK_API_KEY }}\n NOTION_TOKEN: ${{ secrets.NOTION_TOKEN }}\n NOTION_DATABASE_ID: ${{ secrets.NOTION_DATABASE_ID }}\n run: |\n python esg_intelligence_agent.py --mode daily\n\n # 5. 自动化成果回传（将新生成的 Markdown 报告推回仓库）\n - name: Commit and Push Daily Intelligence Report\n run: |\n git config --global user.name \"github-actions[bot]\"\n git config --global user.email \"github-actions[bot]@users.noreply.github.com\"\n \n # 检查报告文件是否有更新\n if [ -f \"esg_global_report.md\" ]; then\n git add esg_global_report.md\n git diff-index --quiet HEAD || git commit -m \"🤖 每日自动更新: 舆情简报 ($(date +'%Y-%m-%d %H:%M'))\"\n git push\n else\n echo \"警告：未检测到生成的报告文件。\"\n fi\n"}, "1a74edd656b5fe61d238d96b6ced40e528111714": {"t": 1785770059.2733026, "n": 1541, "h": "aa141bc36fc5e4d3", "c": "name: Global ESG Daily Monitor (Daily)\n\n# 配置触发时机\non:\n schedule:\n # 北京时间每天早上 06:00（周五除外，由周报接管），UTC = BJT-8\n # UTC 22:00 = BJT 06:00(+1)，跳过周四UTC(对应周五BJT)\n - cron: '0 22 * * 0-3,5-6'\n workflow_dispatch:\n # 允许在 GitHub 网页端手动点击运行按钮\n\njobs:\n run-monitor:\n runs-on: ubuntu-latest\n timeout-minutes: 30\n\n steps:\n # 1. 检出仓库代码\n - name: Checkout Repository Code\n uses: actions/checkout@v4\n\n # 2. 部署 Python 3.10 环境\n - name: Set up Python 3.10\n uses: actions/setup-python@v5\n with:\n python-version: '3.10'\n cache: 'pip'\n\n # 3. 安装依赖\n - name: Install dependencies\n run: |\n python -m pip install --upgrade pip\n pip install -r requirements.txt\n\n # 4. 执行每日舆情情报检索（--mode daily）\n - name: Execute ESG Intelligence Agent (Daily)\n env:\n DINGTALK_WEBHOOK: ${{ secrets.DINGTALK_WEBHOOK }}\n DEEPSEEK_API_KEY: ${{ secrets.DEEPSEEK_API_KEY }}\n run: |\n python esg_intelligence_agent.py --mode daily\n\n # 5. 自动化成果回传（将新生成的 Markdown 报告推回仓库）\n - name: Commit and Push Daily Intelligence Report\n run: |\n git config --global user.name \"github-actions[bot]\"\n git config --global user.email \"github-actions[bot]@users.noreply.github.com\"\n \n # 检查报告文件是否有更新\n if [ -f \"esg_global_report.md\" ]; then\n git add esg_global_report.md\n git diff-index --quiet HEAD || git commit -m \"🤖 每日自动更新: 舆情简报 ($(date +'%Y-%m-%d %H:%M'))\"\n git push\n else\n echo \"警告：未检测到生成的报告文件。\"\n fi\n"}, "3a95c0ef79656dd1ad2b7354182e1250b7096dea": {"t": 1785770060.544329, "n": 1546, "h": "908d832870f81ca8", "c": "name: Global ESG Daily Monitor (Daily)\n\n\t# 配置触发时机\n\ton:\n\t schedule:\n\t # 北京时间每天早上 06:00（周五除外，由周报接管），UTC = BJT-8\n\t # UTC 22:00 = BJT 06:00(+1)，跳过周四UTC(对应周五BJT)\n\t - cron: '0 22 * * 0-3,5-6'\n workflow_dispatch:\n # 允许在 GitHub 网页端手动点击运行按钮\n\njobs:\n run-monitor:\n runs-on: ubuntu-latest\n timeout-minutes: 30\n\n steps:\n # 1. 检出仓库代码\n - name: Checkout Repository Code\n uses: actions/checkout@v4\n\n # 2. 部署 Python 3.10 环境\n - name: Set up Python 3.10\n uses: actions/setup-python@v5\n with:\n python-version: '3.10'\n cache: 'pip'\n\n # 3. 安装依赖\n - name: Install dependencies\n run: |\n python -m pip install --upgrade pip\n pip install -r requirements.txt\n\n # 4. 执行每日舆情情报检索（--mode daily）\n - name: Execute ESG Intelligence Agent (Daily)\n env:\n DINGTALK_WEBHOOK: ${{ secrets.DINGTALK_WEBHOOK }}\n DEEPSEEK_API_KEY: ${{ secrets.DEEPSEEK_API_KEY }}\n run: |\n python esg_intelligence_agent.py --mode daily\n\n # 5. 自动化成果回传（将新生成的 Markdown 报告推回仓库）\n - name: Commit and Push Daily Intelligence Report\n run: |\n git config --global user.name \"github-actions[bot]\"\n git config --global user.email \"github-actions[bot]@users.noreply.github.com\"\n \n # 检查报告文件是否有更新\n if [ -f \"esg_global_report.md\" ]; then\n git add esg_global_report.md\n git diff-index --quiet HEAD || git commit -m \"🤖 每日自动更新: 舆情简报 ($(date +'%Y-%m-%d %H:%M'))\"\n git push\n else\n echo \"警告：未检测到生成的报告文件。\"\n fi"}, "9219a6c82b920d3293f7c1e716222ce27d254d87": {"t": 1785770061.7736967, "n": 1490, "h": "065fa8c40b6f2578", "c": "name: Global ESG Daily Monitor (Daily)\n\n# 配置触发时机\non:\n schedule:\n # 每天 UTC 时间 23:45 自动运行（对应北京时间早上 07:45，避开高峰期）\n - cron: '45 23 * * *'\n workflow_dispatch:\n # 允许在 GitHub 网页端手动点击运行按钮\n\njobs:\n run-monitor:\n runs-on: ubuntu-latest\n timeout-minutes: 30\n\n steps:\n # 1. 检出仓库代码\n - name: Checkout Repository Code\n uses: actions/checkout@v4\n\n # 2. 部署 Python 3.10 环境\n - name: Set up Python 3.10\n uses: actions/setup-python@v5\n with:\n python-version: '3.10'\n cache: 'pip'\n\n # 3. 安装依赖\n - name: Install dependencies\n run: |\n python -m pip install --upgrade pip\n pip install -r requirements.txt\n\n # 4. 执行每日舆情情报检索（--mode daily）\n - name: Execute ESG Intelligence Agent (Daily)\n env:\n DINGTALK_WEBHOOK: ${{ secrets.DINGTALK_WEBHOOK }}\n DEEPSEEK_API_KEY: ${{ secrets.DEEPSEEK_API_KEY }}\n run: |\n python esg_intelligence_agent.py --mode daily\n\n # 5. 自动化成果回传（将新生成的 Markdown 报告推回仓库）\n - name: Commit and Push Daily Intelligence Report\n run: |\n git config --global user.name \"github-actions[bot]\"\n git config --global user.email \"github-actions[bot]@users.noreply.github.com\"\n \n # 检查报告文件是否有更新\n if [ -f \"esg_global_report.md\" ]; then\n git add esg_global_report.md\n git diff-index --quiet HEAD || git commit -m \"🤖 每日自动更新: 舆情简报 ($(date +'%Y-%m-%d %H:%M'))\"\n git push\n else\n echo \"警告：未检测到生成的报告文件。\"\n fi"}, "62b472fd5e375960b892502d2a661fe4ca221b64": {"t": 1785770063.0407443, "n": 1527, "h": "afe4745742e3a99a", "c": "name: Global ESG Daily Monitor (Daily)\n\n# 配置触发时机\non:\n schedule:\n # 每天 UTC 时间 23:45 自动运行（对应北京时间早上 07:45，避开高峰期）\n - cron: '45 23 * * *'\n workflow_dispatch:\n # 允许在 GitHub 网页端手动点击运行按钮\n\njobs:\n run-monitor:\n runs-on: ubuntu-latest\n timeout-minutes: 30\n\n steps:\n # 1. 检出仓库代码\n - name: Checkout Repository Code\n uses: actions/checkout@v4\n\n # 2. 部署 Python 3.10 环境\n - name: Set up Python 3.10\n uses: actions/setup-python@v5\n with:\n python-version: '3.10'\n cache: 'pip'\n\n # 3. 安装依赖\n - name: Install Engineering Dependencies\n run: |\n python -m pip install --upgrade pip\n pip install pyyaml requests beautifulsoup4 openai pandas\n\n # 4. 执行每日舆情情报检索（--mode daily）\n - name: Execute ESG Intelligence Agent (Daily)\n env:\n DINGTALK_WEBHOOK: ${{ secrets.DINGTALK_WEBHOOK }}\n DEEPSEEK_API_KEY: ${{ secrets.DEEPSEEK_API_KEY }}\n run: |\n python esg_intelligence_agent.py --mode daily\n\n # 5. 自动化成果回传（将新生成的 Markdown 报告推回仓库）\n - name: Commit and Push Daily Intelligence Report\n run: |\n git config --global user.name \"github-actions[bot]\"\n git config --global user.email \"github-actions[bot]@users.noreply.github.com\"\n \n # 检查报告文件是否有更新\n if [ -f \"esg_global_report.md\" ]; then\n git add esg_global_report.md\n git diff-index --quiet HEAD || git commit -m \"🤖 每日自动更新: 舆情简报 ($(date +'%Y-%m-%d %H:%M'))\"\n git push\n else\n echo \"警告：未检测到生成的报告文件。\"\n fi"}, "06e8b6df264d0bd6c85ff3d6608f2e443b0afbe9": {"t": 1785770064.3078437, "n": 1527, "h": "5e7124b38711ae9d", "c": "name: Global ESG Daily Monitor (Daily)\n\n# 配置触发时机\non:\n schedule:\n # 每天 UTC 时间 23:45 自动运行（对应北京时间早上 07:45，避开高峰期）\n - cron: '45 23 * * *'\n workflow_dispatch:\n # 允许在 GitHub 网页端手动点击运行按钮\n\njobs:\n run-monitor:\n runs-on: ubuntu-latest\n timeout-minutes: 15\n\n steps:\n # 1. 检出仓库代码\n - name: Checkout Repository Code\n uses: actions/checkout@v4\n\n # 2. 部署 Python 3.10 环境\n - name: Set up Python 3.10\n uses: actions/setup-python@v5\n with:\n python-version: '3.10'\n cache: 'pip'\n\n # 3. 安装依赖\n - name: Install Engineering Dependencies\n run: |\n python -m pip install --upgrade pip\n pip install pyyaml requests beautifulsoup4 openai pandas\n\n # 4. 执行每日舆情情报检索（--mode daily）\n - name: Execute ESG Intelligence Agent (Daily)\n env:\n DINGTALK_WEBHOOK: ${{ secrets.DINGTALK_WEBHOOK }}\n DEEPSEEK_API_KEY: ${{ secrets.DEEPSEEK_API_KEY }}\n run: |\n python esg_intelligence_agent.py --mode daily\n\n # 5. 自动化成果回传（将新生成的 Markdown 报告推回仓库）\n - name: Commit and Push Daily Intelligence Report\n run: |\n git config --global user.name \"github-actions[bot]\"\n git config --global user.email \"github-actions[bot]@users.noreply.github.com\"\n \n # 检查报告文件是否有更新\n if [ -f \"esg_global_report.md\" ]; then\n git add esg_global_report.md\n git diff-index --quiet HEAD || git commit -m \"🤖 每日自动更新: 舆情简报 ($(date +'%Y-%m-%d %H:%M'))\"\n git push\n else\n echo \"警告：未检测到生成的报告文件。\"\n fi"}, "da776cbd119455ebad9608ed11fa4144ed9cf6ea": {"t": 1785770065.473192, "n": 1503, "h": "ecea76fc8aa3c279", "c": "name: Global ESG Daily Monitor (Daily)\n\n# 配置触发时机\non:\n schedule:\n # 每天 UTC 时间 23:45 自动运行（对应北京时间早上 07:45，避开高峰期）\n - cron: '45 23 * * *'\n workflow_dispatch:\n # 允许在 GitHub 网页端手动点击运行按钮\n\njobs:\n run-monitor:\n runs-on: ubuntu-latest\n\n steps:\n # 1. 检出仓库代码\n - name: Checkout Repository Code\n uses: actions/checkout@v4\n\n # 2. 部署 Python 3.10 环境\n - name: Set up Python 3.10\n uses: actions/setup-python@v5\n with:\n python-version: '3.10'\n cache: 'pip'\n\n # 3. 安装依赖\n - name: Install Engineering Dependencies\n run: |\n python -m pip install --upgrade pip\n pip install pyyaml requests beautifulsoup4 openai pandas\n\n # 4. 执行每日舆情情报检索（--mode daily）\n - name: Execute ESG Intelligence Agent (Daily)\n env:\n DINGTALK_WEBHOOK: ${{ secrets.DINGTALK_WEBHOOK }}\n DEEPSEEK_API_KEY: ${{ secrets.DEEPSEEK_API_KEY }}\n run: |\n python esg_intelligence_agent.py --mode daily\n\n # 5. 自动化成果回传（将新生成的 Markdown 报告推回仓库）\n - name: Commit and Push Daily Intelligence Report\n run: |\n git config --global user.name \"github-actions[bot]\"\n git config --global user.email \"github-actions[bot]@users.noreply.github.com\"\n \n # 检查报告文件是否有更新\n if [ -f \"esg_global_report.md\" ]; then\n git add esg_global_report.md\n git diff-index --quiet HEAD || git commit -m \"🤖 每日自动更新: 舆情简报 ($(date +'%Y-%m-%d %H:%M'))\"\n git push\n else\n echo \"警告：未检测到生成的报告文件。\"\n fi"}, "862e6569b63c4c037287d8c1443bc07c42d06737": {"t": 1785770066.7729855, "n": 1493, "h": "74b0d0241da47048", "c": "name: Global ESG & Supply Chain Monitor\n\n# 配置触发时机\non:\n schedule:\n # 每天 UTC 时间 23:45 自动运行（对应北京时间早上 07:45，避开高峰期）\n - cron: '45 23 * * *'\n workflow_dispatch:\n # 允许在 GitHub 网页端手动点击运行按钮\n\njobs:\n run-monitor:\n runs-on: ubuntu-latest\n\n steps:\n # 1. 检出仓库代码\n - name: Checkout Repository Code\n uses: actions/checkout@v4\n\n # 2. 部署 Python 3.10 环境\n - name: Set up Python 3.10\n uses: actions/setup-python@v5\n with:\n python-version: '3.10'\n cache: 'pip'\n\n # 3. 安装依赖（DeepSeek 大模型语义降噪版）\n - name: Install Engineering Dependencies\n run: |\n python -m pip install --upgrade pip\n pip install pyyaml requests beautifulsoup4 openai pandas\n\n # 4. 执行全球情报检索与提纯脚本\n - name: Execute ESG Intelligence Agent\n env:\n DINGTALK_WEBHOOK: ${{ secrets.DINGTALK_WEBHOOK }}\n DEEPSEEK_API_KEY: ${{ secrets.DEEPSEEK_API_KEY }}\n run: |\n python esg_intelligence_agent.py\n\n # 5. 自动化成果回传（将新生成的 Markdown 报告推回仓库）\n - name: Commit and Push Verified Intelligence Report\n run: |\n git config --global user.name \"github-actions[bot]\"\n git config --global user.email \"github-actions[bot]@users.noreply.github.com\"\n \n # 检查报告文件是否有更新\n if [ -f \"esg_global_report.md\" ]; then\n git add esg_global_report.md\n git diff-index --quiet HEAD || git commit -m \"🤖 自动更新: 舆情简报 ($(date +'%Y-%m-%d %H:%M'))\"\n git push\n else\n echo \"警告：未检测到生成的报告文件。\"\n fi\n"}, "2d0d8dece7870aed9aebfd353203a2805dd6a3ca": {"t": 1785770067.9693625, "n": 1439, "h": "de8cbe931d84d6eb", "c": "name: Global ESG & Supply Chain Monitor\n\n# 配置触发时机\non:\n schedule:\n # 每天 UTC 时间 23:45 自动运行（对应北京时间早上 07:45，避开高峰期）\n - cron: '45 23 * * *'\n workflow_dispatch:\n # 允许在 GitHub 网页端手动点击运行按钮\n\njobs:\n run-monitor:\n runs-on: ubuntu-latest\n\n steps:\n # 1. 检出仓库代码\n - name: Checkout Repository Code\n uses: actions/checkout@v4\n\n # 2. 部署 Python 3.10 环境\n - name: Set up Python 3.10\n uses: actions/setup-python@v5\n with:\n python-version: '3.10'\n cache: 'pip'\n\n # 3. 安装依赖（无大模型 API 依赖版）\n - name: Install Engineering Dependencies\n run: |\n python -m pip install --upgrade pip\n pip install pyyaml requests beautifulsoup4 deep-translator pandas\n\n # 4. 执行全球情报检索与提纯脚本\n - name: Execute ESG Intelligence Agent\n env:\n DINGTALK_WEBHOOK: ${{ secrets.DINGTALK_WEBHOOK }}\n run: |\n python esg_intelligence_agent.py\n\n # 5. 自动化成果回传（将新生成的 Markdown 报告推回仓库）\n - name: Commit and Push Verified Intelligence Report\n run: |\n git config --global user.name \"github-actions[bot]\"\n git config --global user.email \"github-actions[bot]@users.noreply.github.com\"\n \n # 检查报告文件是否有更新\n if [ -f \"esg_global_report.md\" ]; then\n git add esg_global_report.md\n git diff-index --quiet HEAD || git commit -m \"🤖 自动更新: 舆情简报 ($(date +'%Y-%m-%d %H:%M'))\"\n git push\n else\n echo \"警告：未检测到生成的报告文件。\"\n fi\n"}, "95fcfa8432a6b7d971594b227a09a08c142ffb35": {"t": 1785770070.293656, "n": 1431, "h": "48cf5c654df76ec5", "c": "name: Global ESG & Supply Chain Monitor\n\n# 配置触发时机\non:\n schedule:\n # 每天 UTC 时间 00:00 自动运行（对应北京时间早上 08:00）\n - cron: '0 0 * * *'\n workflow_dispatch:\n # 允许在 GitHub 网页端手动点击运行按钮\n\njobs:\n run-monitor:\n runs-on: ubuntu-latest\n\n steps:\n # 1. 检出仓库代码\n - name: Checkout Repository Code\n uses: actions/checkout@v4\n\n # 2. 部署 Python 3.10 环境\n - name: Set up Python 3.10\n uses: actions/setup-python@v5\n with:\n python-version: '3.10'\n cache: 'pip'\n\n # 3. 安装依赖（无大模型 API 依赖版）\n - name: Install Engineering Dependencies\n run: |\n python -m pip install --upgrade pip\n pip install pyyaml requests beautifulsoup4 deep-translator pandas\n\n # 4. 执行全球情报检索与提纯脚本\n - name: Execute ESG Intelligence Agent\n env:\n DINGTALK_WEBHOOK: ${{ secrets.DINGTALK_WEBHOOK }}\n run: |\n python esg_intelligence_agent.py\n\n # 5. 自动化成果回传（将新生成的 Markdown 报告推回仓库）\n - name: Commit and Push Verified Intelligence Report\n run: |\n git config --global user.name \"github-actions[bot]\"\n git config --global user.email \"github-actions[bot]@users.noreply.github.com\"\n \n # 检查报告文件是否有更新\n if [ -f \"esg_global_report.md\" ]; then\n git add esg_global_report.md\n git diff-index --quiet HEAD || git commit -m \"🤖 自动更新: 舆情简报 ($(date +'%Y-%m-%d %H:%M'))\"\n git push\n else\n echo \"警告：未检测到生成的报告文件。\"\n fi\n"}, "f8b71f256309116148e59a6579e8fce477835294": {"t": 1785770071.594367, "n": 1362, "h": "9abbfdfc4c1acf29", "c": "name: Global ESG & Supply Chain Monitor\n\n# 配置触发时机\non:\n schedule:\n # 每天 UTC 时间 00:00 自动运行（对应北京时间早上 08:00）\n - cron: '0 0 * * *'\n workflow_dispatch:\n # 允许在 GitHub 网页端手动点击运行按钮\n\njobs:\n run-monitor:\n runs-on: ubuntu-latest\n\n steps:\n # 1. 检出仓库代码\n - name: Checkout Repository Code\n uses: actions/checkout@v4\n\n # 2. 部署 Python 3.10 环境\n - name: Set up Python 3.10\n uses: actions/setup-python@v5\n with:\n python-version: '3.10'\n cache: 'pip'\n\n # 3. 安装依赖（无大模型 API 依赖版）\n - name: Install Engineering Dependencies\n run: |\n python -m pip install --upgrade pip\n pip install pyyaml requests beautifulsoup4 deep-translator pandas\n\n # 4. 执行全球情报检索与提纯脚本\n - name: Execute ESG Intelligence Agent\n run: |\n python esg_intelligence_agent.py\n\n # 5. 自动化成果回传（将新生成的 Markdown 报告推回仓库）\n - name: Commit and Push Verified Intelligence Report\n run: |\n git config --global user.name \"github-actions[bot]\"\n git config --global user.email \"github-actions[bot]@users.noreply.github.com\"\n \n # 检查报告文件是否有更新\n if [ -f \"esg_global_report.md\" ]; then\n git add esg_global_report.md\n git diff-index --quiet HEAD || git commit -m \"🤖 自动更新: 舆情简报 ($(date +'%Y-%m-%d %H:%M'))\"\n git push\n else\n echo \"警告：未检测到生成的报告文件。\"\n fi\n"}, "cf6f4506b19a22f09e07a79867cf5ee33d13fc12": {"t": 1785770073.1165907, "n": 1355, "h": "09ae222b8ba6bdce", "c": "name: Global ESG & Supply Chain Monitor\n\n# 配置触发时机\non:\n schedule:\n # 每天 UTC 时间 00:00 自动运行（对应北京时间早上 08:00）\n - cron: '0 0 * * *'\n workflow_dispatch:\n # 允许在 GitHub 网页端手动点击运行按钮\n\njobs:\n run-monitor:\n runs-on: ubuntu-latest\n\n steps:\n # 1. 检出仓库代码\n - name: Checkout Repository Code\n uses: actions/checkout@v4\n\n # 2. 部署 Python 3.10 环境\n - name: Set up Python 3.10\n uses: actions/setup-python@v5\n with:\n python-version: '3.10'\n cache: 'pip'\n\n # 3. 安装依赖（无大模型 API 依赖版）\n - name: Install Engineering Dependencies\n run: |\n python -m pip install --upgrade pip\n pip install pyyaml requests beautifulsoup4 deep-translator\n\n # 4. 执行全球情报检索与提纯脚本\n - name: Execute ESG Intelligence Agent\n run: |\n python esg_intelligence_agent.py\n\n # 5. 自动化成果回传（将新生成的 Markdown 报告推回仓库）\n - name: Commit and Push Verified Intelligence Report\n run: |\n git config --global user.name \"github-actions[bot]\"\n git config --global user.email \"github-actions[bot]@users.noreply.github.com\"\n \n # 检查报告文件是否有更新\n if [ -f \"esg_global_report.md\" ]; then\n git add esg_global_report.md\n git diff-index --quiet HEAD || git commit -m \"🤖 自动更新: 舆情简报 ($(date +'%Y-%m-%d %H:%M'))\"\n git push\n else\n echo \"警告：未检测到生成的报告文件。\"\n fi\n"}, "8d5ccc5de9dbfe031ec480db107accddb757bfab": {"t": 1786068027.595658, "n": 1729, "h": "ea4af686f7404b7d", "c": "name: Global ESG Daily Monitor (Daily)\n\n# 配置触发时机\non:\n schedule:\n # 北京时间每天早上 06:00（周五除外，由周报接管），UTC = BJT-8\n # UTC 22:00 = BJT 06:00(+1)，跳过周四UTC(对应周五BJT)\n - cron: '0 22 * * 0-3,5-6'\n workflow_dispatch:\n # 允许在 GitHub 网页端手动点击运行按钮\n\njobs:\n run-monitor:\n runs-on: ubuntu-latest\n timeout-minutes: 60\n\n steps:\n # 1. 检出仓库代码\n - name: Checkout Repository Code\n uses: actions/checkout@v4\n\n # 2. 部署 Python 3.10 环境\n - name: Set up Python 3.10\n uses: actions/setup-python@v5\n with:\n python-version: '3.10'\n cache: 'pip'\n\n # 3. 安装依赖\n - name: Install dependencies\n run: |\n python -m pip install --upgrade pip\n pip install -r requirements.txt\n\n # 4. 执行每日舆情情报检索（--mode daily）\n - name: Execute ESG Intelligence Agent (Daily)\n env:\n DINGTALK_WEBHOOK: ${{ secrets.DINGTALK_WEBHOOK }}\n DEEPSEEK_API_KEY: ${{ secrets.DEEPSEEK_API_KEY }}\n NOTION_TOKEN: ${{ secrets.NOTION_TOKEN }}\n NOTION_DATABASE_ID: ${{ secrets.NOTION_DATABASE_ID }}\n run: |\n python esg_intelligence_agent.py --mode daily\n\n # 5. 自动化成果回传（将新生成的 Markdown 报告推回仓库）\n - name: Commit and Push Daily Intelligence Report\n run: |\n git config --global user.name \"github-actions[bot]\"\n git config --global user.email \"github-actions[bot]@users.noreply.github.com\"\n \n # 检查报告文件和去重记忆库是否有更新\n if [ -f \"esg_global_report.md\" ]; then\n git add esg_global_report.md\n fi\n if [ -f \"logs/processed_urls.json\" ]; then\n git add logs/processed_urls.json\n fi\n \n git diff-index --quiet HEAD || git commit -m \"🤖 每日自动更新: 舆情简报与去重记忆库 ($(date +'%Y-%m-%d %H:%M'))\"\n git push\n"}, "244010547a03c70744d32ed18a4c47fb74666595": {"t": 1786068537.2361512, "n": 1729, "h": "ea4af686f7404b7d", "c": "name: Global ESG Daily Monitor (Daily)\n\n# 配置触发时机\non:\n schedule:\n # 北京时间每天早上 06:00（周五除外，由周报接管），UTC = BJT-8\n # UTC 22:00 = BJT 06:00(+1)，跳过周四UTC(对应周五BJT)\n - cron: '0 22 * * 0-3,5-6'\n workflow_dispatch:\n # 允许在 GitHub 网页端手动点击运行按钮\n\njobs:\n run-monitor:\n runs-on: ubuntu-latest\n timeout-minutes: 60\n\n steps:\n # 1. 检出仓库代码\n - name: Checkout Repository Code\n uses: actions/checkout@v4\n\n # 2. 部署 Python 3.10 环境\n - name: Set up Python 3.10\n uses: actions/setup-python@v5\n with:\n python-version: '3.10'\n cache: 'pip'\n\n # 3. 安装依赖\n - name: Install dependencies\n run: |\n python -m pip install --upgrade pip\n pip install -r requirements.txt\n\n # 4. 执行每日舆情情报检索（--mode daily）\n - name: Execute ESG Intelligence Agent (Daily)\n env:\n DINGTALK_WEBHOOK: ${{ secrets.DINGTALK_WEBHOOK }}\n DEEPSEEK_API_KEY: ${{ secrets.DEEPSEEK_API_KEY }}\n NOTION_TOKEN: ${{ secrets.NOTION_TOKEN }}\n NOTION_DATABASE_ID: ${{ secrets.NOTION_DATABASE_ID }}\n run: |\n python esg_intelligence_agent.py --mode daily\n\n # 5. 自动化成果回传（将新生成的 Markdown 报告推回仓库）\n - name: Commit and Push Daily Intelligence Report\n run: |\n git config --global user.name \"github-actions[bot]\"\n git config --global user.email \"github-actions[bot]@users.noreply.github.com\"\n \n # 检查报告文件和去重记忆库是否有更新\n if [ -f \"esg_global_report.md\" ]; then\n git add esg_global_report.md\n fi\n if [ -f \"logs/processed_urls.json\" ]; then\n git add logs/processed_urls.json\n fi\n \n git diff-index --quiet HEAD || git commit -m \"🤖 每日自动更新: 舆情简报与去重记忆库 ($(date +'%Y-%m-%d %H:%M'))\"\n git push\n"}}}} |