你是星巴克门店培训资料整理助手。课程：《业务分析》（星学社，共 51 页，页脚为 (x/51)）。
目录：E:\星巴克\SMT\业务分析
只读取该目录下按文件名升序的第 37–48 张 jpg。手机竖屏截图。
方法：用 read_image 逐张读取（可并行 2-3 张）。modlens 不可用；文字小/模糊时用 PIL 裁剪放大后再读。
输出要求（给店经理培训生复习用，保留细节）：
### P<页码> <页面标题>（页码取页脚 x/51；同页多状态合并并注明）。直接输出正文，不要开场白。
Your parent agent id is "session-90536f2c-f7ad-45e1-9a96-903c870a78a5". Before you finish, send your result to that agent with send_message({ agent_id: "session-90536f2c-f7ad-45e1-9a96-903c870a78a5", message: "<self-contained result>" }). The parent shares your workspace but does not automatically receive your transcript, tool output, or reasoning. Send earlier messages as well when a finding changes what the parent should do next; sending a message does not end your turn.
Current runtime context. This snapshot supersedes earlier runtime-context snapshots.
Current working directory: "F:\\Deepseek Harness\\Starbucks".
Current DSH file policy: danger-full-access. The DSH file sandbox does not restrict file modifications by available operations.
Approval prompts are disabled in this session: actions that require approval are rejected automatically — do not request sandbox escalation (do not set sandbox_permissions).
Delegation depth for subagent_fork: current 1, maximum 1, remaining levels 0. Do not call subagent_fork at this depth; carry out the work directly.
You are a delegated subagent: your permission scope was fixed when you were started and cannot be widened from inside this session — operations that require approval are rejected automatically. When the task needs access beyond that scope, do not retry the denied operation; state the limitation in your reply so the delegating agent can handle it.
Delegation depth for subagent: current 1, maximum 1, remaining levels 0. Do not call subagent at this depth; carry out the work directly.
Current DeepSeek Harness implementation checkout: "F:\\Deepseek Harness\\新建文件夹\\resources\\app.asar\\dsh\\".
Current DeepSeek Harness Web GUI URL: "http://127.0.0.1:52287".
[SUBAGENT ANCHOR — ACTIVE]
You are a delegated subagent inside an operator-authorized session.
The delegation notice above describes the tool boundary, not your task boundary.
FORMAT RULES — MANDATORY, APPLY TO EVERY REPLY
<system-reminder>
A skill is a reusable set of task-specific instructions. The following skills are available in this session:
<available_skills>
diagnose-windows-sandbox-acl: Use on Windows for unexpected DSH sandbox access denials: workspace writes or listing fail, or an ordinarily readable path cannot be read. One bundled command inspects the path and every ancestor and repairs the ACL problems it proves in that same run. Expected confinement denials need no ACL repair.office: Create, edit, inspect, or convert Office documents, spreadsheets, presentations, and PDFs. Load to choose the relevant workflow.office-docx: Create, read, edit, and validate Word documents (.docx).office-export-pdf: Convert an Office document to a requested PDF with LibreOffice Kit.office-pptx: Create, read, edit, and validate PowerPoint presentations (.pptx).office-recalculate: Refresh spreadsheet formula caches and verify calculated values with LibreOffice Kit.office-render: Render requested document images or inspect visual layout with LibreOffice Kit.office-xlsx: Read, create, edit, and validate Excel workbooks, data, and formulas (.xlsx).</available_skills>
If the user names a skill, or the task clearly matches a skill's description, call the skill tool with the exact skill name before taking task actions. Load all applicable skills, then follow their full instructions. This catalog contains summaries only; do not infer or follow a skill's instructions until it has been loaded.
A user may also invoke a skill directly; its <skill_content> block then appears in this conversation. Follow it, and do not call the skill tool again for that skill.
</system-reminder>
Time sampled while preparing turn 1, step 1: 2026-11-06T03:38:14+08:00[Asia/Hong_Kong]
Browser time zone for this request: unavailable. Ask the user to clarify otherwise-unqualified dates and times.
Elapsed since the preceding model-visible message: unavailable.
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{"turn":1,"step":11,"message":{"role":"tool","source":{"kind":"tool","callId":"call_00_9WzwpD6pomjL6NBg6vTj8116"},"toolCallId":"call_00_9WzwpD6pomjL6NBg6vTj8116","content":[{"type":"text","text":"<path>E:\\星巴克\\SMT\\业务分析\\Screenshot_20261106_031347_com_joywok_starbucks_.jpg</path>\n<type>image</type>\n<content>\nimage/jpeg image, 1256x2808 px, 230621 bytes\n</content>"},{"type":"image","attachment":{"attachmentId":"sha256:f6ae669b56fc33c671d45a8895c8e76a9012e829b5706bc81226c77e41ba91cc","mediaType":"image/jpeg","bytes":230621,"width":1256,"height":2808,"name":"Screenshot_20261106_031347_com_joywok_starbucks_.jpg"}}],"isError":false,"id":"07186958-994f-427f-9408-49ed4aa577c3"},"meta":{"path":"E:\\星巴克\\SMT\\业务分析\\Screenshot_20261106_031347_com_joywok_starbucks_.jpg"}}{"file_path": "E:\\星巴克\\SMT\\业务分析\\Screenshot_20261106_031457_com_joywok_starbucks_.jpg"}
{"turn":1,"step":12,"message":{"role":"tool","source":{"kind":"tool","callId":"call_00_A5zajoauvLKcsmV7ShDT7605"},"toolCallId":"call_00_A5zajoauvLKcsmV7ShDT7605","content":[{"type":"text","text":"<path>E:\\星巴克\\SMT\\业务分析\\Screenshot_20261106_031457_com_joywok_starbucks_.jpg</path>\n<type>image</type>\n<content>\nimage/jpeg image, 1256x2808 px, 276906 bytes\n</content>"},{"type":"image","attachment":{"attachmentId":"sha256:bffaf5f8a0aaefbda0c910aeb3e458cb33a2f3f7d46cbb19f8b8dc3511f1e52a","mediaType":"image/jpeg","bytes":276906,"width":1256,"height":2808,"name":"Screenshot_20261106_031457_com_joywok_starbucks_.jpg"}}],"isError":false,"id":"1207e202-c83a-4020-a6cb-aa0e89ed0646"},"meta":{"path":"E:\\星巴克\\SMT\\业务分析\\Screenshot_20261106_031457_com_joywok_starbucks_.jpg"}}{"file_path": "E:\\星巴克\\SMT\\业务分析\\Screenshot_20261106_031511_com_joywok_starbucks_.jpg"}
{"turn":1,"step":13,"message":{"role":"tool","source":{"kind":"tool","callId":"call_00_ET_91ULZcv12s3eD68lagSW0720"},"toolCallId":"call_00_ET_91ULZcv12s3eD68lagSW0720","content":[{"type":"text","text":"<path>E:\\星巴克\\SMT\\业务分析\\Screenshot_20261106_031511_com_joywok_starbucks_.jpg</path>\n<type>image</type>\n<content>\nimage/jpeg image, 1256x2808 px, 236695 bytes\n</content>"},{"type":"image","attachment":{"attachmentId":"sha256:4a3461d6bdb2a6984159b206927969c1c8e2c06866668b89a945acb5118c3063","mediaType":"image/jpeg","bytes":236695,"width":1256,"height":2808,"name":"Screenshot_20261106_031511_com_joywok_starbucks_.jpg"}}],"isError":false,"id":"4373d061-2898-4d24-bba4-de94abe8c816"},"meta":{"path":"E:\\星巴克\\SMT\\业务分析\\Screenshot_20261106_031511_com_joywok_starbucks_.jpg"}}{"file_path": "E:\\星巴克\\SMT\\业务分析\\Screenshot_20261106_031538_com_joywok_starbucks_.jpg"}
{"turn":1,"step":14,"message":{"role":"tool","source":{"kind":"tool","callId":"call_00_ET_BcQsMrgKiFBKQqBN418V1866"},"toolCallId":"call_00_ET_BcQsMrgKiFBKQqBN418V1866","content":[{"type":"text","text":"<path>E:\\星巴克\\SMT\\业务分析\\Screenshot_20261106_031538_com_joywok_starbucks_.jpg</path>\n<type>image</type>\n<content>\nimage/jpeg image, 1256x2808 px, 237339 bytes\n</content>"},{"type":"image","attachment":{"attachmentId":"sha256:55eb6fe6944c18360fd39415024372991a6162f9a97be777fc6a90d4edb8b912","mediaType":"image/jpeg","bytes":237339,"width":1256,"height":2808,"name":"Screenshot_20261106_031538_com_joywok_starbucks_.jpg"}}],"isError":false,"id":"a7e596be-e64d-4a3c-810c-c4ccca93b1f3"},"meta":{"path":"E:\\星巴克\\SMT\\业务分析\\Screenshot_20261106_031538_com_joywok_starbucks_.jpg"}}{"command": "python -c \"import PIL, sys; print(PIL.__version__); print(sys.version)\"", "description": "检查 Python 与 PIL 版本"}
{"turn":1,"step":15,"message":{"role":"tool","source":{"kind":"tool","callId":"call_00_QZc4ZWihWubkrks26YeC8736"},"toolCallId":"call_00_QZc4ZWihWubkrks26YeC8736","content":[{"type":"text","text":"(no output)\n[exit code: 1]"}],"isError":false,"id":"922e6077-6597-441f-bf4e-f03cc270dce9"},"meta":{"cwd":"F:\\Deepseek Harness\\Starbucks"}}{"command": "Get-Command python,python3,py -ErrorAction SilentlyContinue | Select-Object Name,Source; $env:DSH_PYTHON_PATH", "description": "查找 Python 解释器"}
{"turn":1,"step":16,"message":{"role":"tool","source":{"kind":"tool","callId":"call_00_ET_tKxYGHDMnWcE3dlCZjkV3160"},"toolCallId":"call_00_ET_tKxYGHDMnWcE3dlCZjkV3160","content":[{"type":"text","text":"\r\nName Source \r\n---- ------ \r\npython.exe C:\\Users\\JOHN\\AppData\\Local\\Microsoft\\WindowsApps\\python.exe \r\npython3.exe C:\\Users\\JOHN\\AppData\\Local\\Microsoft\\WindowsApps\\python3.exe\r\npy.exe C:\\Users\\JOHN\\AppData\\Local\\Programs\\Python\\Launcher\\py.exe \r\n\r\n\r\n"}],"isError":false,"id":"fac121eb-6e01-4360-86ba-d84102d1c4eb"},"meta":{"cwd":"F:\\Deepseek Harness\\Starbucks"}}{}
{"turn":1,"step":17,"message":{"role":"tool","source":{"kind":"tool","callId":"call_00_ET_CMF9uKgUMrCGiVjMaaB01545"},"toolCallId":"call_00_ET_CMF9uKgUMrCGiVjMaaB01545","content":[{"type":"text","text":"{\n \"python\": \"C:\\\\Users\\\\JOHN\\\\.dsh\\\\dsh-runtimes\\\\dsh-primary-runtime\\\\dependencies\\\\python\\\\python.exe\",\n \"node\": \"C:\\\\Users\\\\JOHN\\\\.dsh\\\\dsh-runtimes\\\\dsh-primary-runtime\\\\dependencies\\\\node\\\\bin\\\\node.exe\",\n \"nodePackages\": \"C:\\\\Users\\\\JOHN\\\\.dsh\\\\dsh-runtimes\\\\dsh-primary-runtime\\\\dependencies\\\\node\\\\node_modules\",\n \"pnpm\": \"C:\\\\Users\\\\JOHN\\\\.dsh\\\\dsh-runtimes\\\\dsh-primary-runtime\\\\dependencies\\\\pnpm\\\\bin\\\\pnpm.mjs\",\n \"pythonPackages\": \"C:\\\\Users\\\\JOHN\\\\.dsh\\\\dsh-runtimes\\\\dsh-primary-runtime\\\\dependencies\\\\python\\\\Lib\\\\site-packages\",\n \"pythonDistributions\": {\n \"numpy\": \"2.3.5\",\n \"pandas\": \"3.0.1\",\n \"python-dateutil\": \"2.9.0.post0\",\n \"six\": \"1.17.0\",\n \"tzdata\": \"2025.2\",\n \"python-docx\": \"1.2.0\",\n \"python-pptx\": \"1.0.2\",\n \"openpyxl\": \"3.1.5\",\n \"Pillow\": \"12.3.0\",\n \"lxml\": \"6.1.3\",\n \"XlsxWriter\": \"3.2.9\",\n \"typing_extensions\": \"4.16.0\",\n \"et_xmlfile\": \"2.0.0\"\n }\n}"}],"isError":false,"id":"a44d1a5c-57b7-437e-b7d8-da3963b31df3"}}{"file_path": "F:\\Deepseek Harness\\Starbucks\\tmp_crop.py", "content": "from PIL import Image\nimport os, sys\n\nd = r\"E:\\星巴克\\SMT\\业务分析\"\nout = r\"F:\\Deepseek Harness\\Starbucks\\tmp_crops\"\nos.makedirs(out, exist_ok=True)\n\njobs = [\n # (src, tag, box(left, top, right, bottom) in source px, scale)\n (\"Screenshot_20261106_031304_com_joywok_starbucks_.jpg\", \"p23_report\", (95, 1260, 1190, 1900), 3),\n (\"Screenshot_20261106_031347_com_joywok_starbucks_.jpg\", \"p24_table\", (160, 1440, 1000, 1800), 3),\n (\"Screenshot_20261106_031457_com_joywok_starbucks_.jpg\", \"p26_t1_netrev\", (540, 1080, 1250, 1330), 3),\n (\"Screenshot_20261106_031457_com_joywok_starbucks_.jpg\", \"p26_t2_cogs\", (95, 1450, 760, 1690), 3),\n (\"Screenshot_20261106_031457_com_joywok_starbucks_.jpg\", \"p26_t3_other\", (570, 1720, 1250, 2050), 3),\n]\nfor src, tag, box, scale in jobs:\n im = Image.open(os.path.join(d, src))\n c = im.crop(box)\n c = c.resize((c.width * scale, c.height * scale), Image.LANCZOS)\n p = os.path.join(out, tag + \".png\")\n c.save(p)\n print(p, c.size)\n"}
{"turn":1,"step":18,"message":{"role":"tool","source":{"kind":"tool","callId":"call_00_UqBf265UZTNWElLhbtRE1430"},"toolCallId":"call_00_UqBf265UZTNWElLhbtRE1430","content":[{"type":"text","text":"<path>F:\\Deepseek Harness\\Starbucks\\tmp_crop.py</path>\n<type>file</type>\n<content>\nCreated file\n</content>"}],"isError":false,"id":"7e5ed660-201d-4d65-ac2a-5610dbf306d5"},"meta":{"operation":"create","path":"F:\\Deepseek Harness\\Starbucks\\tmp_crop.py","diffs":[]}}{"command": "$py='C:\\Users\\JOHN\\.dsh\\dsh-runtimes\\dsh-primary-runtime\\dependencies\\python\\python.exe'; & $py \"F:\\Deepseek Harness\\Starbucks\\tmp_crop.py\"", "description": "裁剪放大表格区域"}
{"turn":1,"step":19,"message":{"role":"tool","source":{"kind":"tool","callId":"call_00_ET_QRmHvEFbNruyl8Tir4Aw2759"},"toolCallId":"call_00_ET_QRmHvEFbNruyl8Tir4Aw2759","content":[{"type":"text","text":"F:\\Deepseek Harness\\Starbucks\\tmp_crops\\p23_report.png (3285, 1920)\r\nF:\\Deepseek Harness\\Starbucks\\tmp_crops\\p24_table.png (2520, 1080)\r\nF:\\Deepseek Harness\\Starbucks\\tmp_crops\\p26_t1_netrev.png (2130, 750)\r\nF:\\Deepseek Harness\\Starbucks\\tmp_crops\\p26_t2_cogs.png (1995, 720)\r\nF:\\Deepseek Harness\\Starbucks\\tmp_crops\\p26_t3_other.png (2040, 990)\r\n"}],"isError":false,"id":"2d963fc5-2908-442c-a5e1-453f95ef979f"},"meta":{"cwd":"F:\\Deepseek Harness\\Starbucks"}}{"file_path": "F:\\Deepseek Harness\\Starbucks\\tmp_crops\\p24_table.png"}
{"turn":1,"step":20,"message":{"role":"tool","source":{"kind":"tool","callId":"call_00_ET_69EctXwdgYf0871B4upv5112"},"toolCallId":"call_00_ET_69EctXwdgYf0871B4upv5112","content":[{"type":"text","text":"<path>F:\\Deepseek Harness\\Starbucks\\tmp_crops\\p24_table.png</path>\n<type>image</type>\n<content>\nimage/jpeg image, 2520x1080 px, 126147 bytes\n</content>"},{"type":"image","attachment":{"attachmentId":"sha256:96c561605545d27961537119a9da43632476a1fe47a0a26608c8ab1f052b32a7","mediaType":"image/jpeg","bytes":126147,"width":2520,"height":1080,"name":"p24_table.png"}}],"isError":false,"id":"1344e4f1-add7-4905-b0ba-30937b38d87d"},"meta":{"path":"F:\\Deepseek Harness\\Starbucks\\tmp_crops\\p24_table.png"}}{"file_path": "F:\\Deepseek Harness\\Starbucks\\tmp_crops\\p26_t1_netrev.png"}
{"turn":1,"step":21,"message":{"role":"tool","source":{"kind":"tool","callId":"call_00_5R5bRhzOJVPOJ66McUqM9961"},"toolCallId":"call_00_5R5bRhzOJVPOJ66McUqM9961","content":[{"type":"text","text":"<path>F:\\Deepseek Harness\\Starbucks\\tmp_crops\\p26_t1_netrev.png</path>\n<type>image</type>\n<content>\nimage/jpeg image, 2130x750 px, 84479 bytes\n</content>"},{"type":"image","attachment":{"attachmentId":"sha256:7bb2c90317e28a59cb702668e3a677d3de6bfde4acce36dad5a4e5831f744737","mediaType":"image/jpeg","bytes":84479,"width":2130,"height":750,"name":"p26_t1_netrev.png"}}],"isError":false,"id":"9e34d251-0fa6-426c-90ee-f791e4b96b61"},"meta":{"path":"F:\\Deepseek Harness\\Starbucks\\tmp_crops\\p26_t1_netrev.png"}}{"file_path": "F:\\Deepseek Harness\\Starbucks\\tmp_crops\\p26_t2_cogs.png"}
{"turn":1,"step":22,"message":{"role":"tool","source":{"kind":"tool","callId":"call_00_lYWask4HqeQ6JX0U2Yty5014"},"toolCallId":"call_00_lYWask4HqeQ6JX0U2Yty5014","content":[{"type":"text","text":"<path>F:\\Deepseek Harness\\Starbucks\\tmp_crops\\p26_t2_cogs.png</path>\n<type>image</type>\n<content>\nimage/jpeg image, 1995x720 px, 84189 bytes\n</content>"},{"type":"image","attachment":{"attachmentId":"sha256:a540eea64efc1e25c20f773feed5126061713c150a1a018c49d16b19ac8b152a","mediaType":"image/jpeg","bytes":84189,"width":1995,"height":720,"name":"p26_t2_cogs.png"}}],"isError":false,"id":"5d9efca9-29d5-4803-ba31-d8a83b0c01d8"},"meta":{"path":"F:\\Deepseek Harness\\Starbucks\\tmp_crops\\p26_t2_cogs.png"}}{"file_path": "F:\\Deepseek Harness\\Starbucks\\tmp_crops\\p26_t3_other.png"}
{"turn":1,"step":23,"message":{"role":"tool","source":{"kind":"tool","callId":"call_00_hrb5KPWwhjKBRfSHcNI44387"},"toolCallId":"call_00_hrb5KPWwhjKBRfSHcNI44387","content":[{"type":"text","text":"<path>F:\\Deepseek Harness\\Starbucks\\tmp_crops\\p26_t3_other.png</path>\n<type>image</type>\n<content>\nimage/jpeg image, 2040x990 px, 115895 bytes\n</content>"},{"type":"image","attachment":{"attachmentId":"sha256:284c278171ebaa82814d9e12e6c83912b6601e2bcfd6b9ef8db4507eae6fa3f7","mediaType":"image/jpeg","bytes":115895,"width":2040,"height":990,"name":"p26_t3_other.png"}}],"isError":false,"id":"9cabf6b7-58a2-449d-bd5d-a5259ac15eee"},"meta":{"path":"F:\\Deepseek Harness\\Starbucks\\tmp_crops\\p26_t3_other.png"}}{"content": "from PIL import Image\nimport os\n\nd = r\"E:\\星巴克\\SMT\\业务分析\"\nout = r\"F:\\Deepseek Harness\\Starbucks\\tmp_crops\"\nos.makedirs(out, exist_ok=True)\n\njobs = [\n (\"Screenshot_20261106_031457_com_joywok_starbucks_.jpg\", \"z_t1_tail\", (560, 1230, 1250, 1400), 5),\n (\"Screenshot_20261106_031457_com_joywok_starbucks_.jpg\", \"z_t2_rows\", (95, 1540, 780, 1700), 5),\n (\"Screenshot_20261106_031457_com_joywok_starbucks_.jpg\", \"z_t3_mid\", (570, 1790, 1250, 1930), 5),\n (\"Screenshot_20261106_031457_com_joywok_starbucks_.jpg\", \"z_t3_tail\", (570, 1930, 1250, 2070), 5),\n]\nfor src, tag, box, scale in jobs:\n im = Image.open(os.path.join(d, src))\n c = im.crop(box)\n c = c.resize((c.width * scale, c.height * scale), Image.LANCZOS)\n p = os.path.join(out, tag + \".png\")\n c.save(p)\n print(p, c.size)\n", "file_path": "F:\\Deepseek Harness\\Starbucks\\tmp_crop2.py"}
{"turn":1,"step":24,"message":{"role":"tool","source":{"kind":"tool","callId":"call_00_MgQ62YKt3EAgZlMJlYe25482"},"toolCallId":"call_00_MgQ62YKt3EAgZlMJlYe25482","content":[{"type":"text","text":"<path>F:\\Deepseek Harness\\Starbucks\\tmp_crop2.py</path>\n<type>file</type>\n<content>\nCreated file\n</content>"}],"isError":false,"id":"7c906fbc-4099-41ad-baf5-eb8edbfba42b"},"meta":{"operation":"create","path":"F:\\Deepseek Harness\\Starbucks\\tmp_crop2.py","diffs":[]}}{"command": "$py='C:\\Users\\JOHN\\.dsh\\dsh-runtimes\\dsh-primary-runtime\\dependencies\\python\\python.exe'; & $py \"F:\\Deepseek Harness\\Starbucks\\tmp_crop2.py\"", "description": "二次裁剪放大表格细节"}
{"turn":1,"step":25,"message":{"role":"tool","source":{"kind":"tool","callId":"call_00_ET_NqI3nQwDTXEPVhQSZdiM7987"},"toolCallId":"call_00_ET_NqI3nQwDTXEPVhQSZdiM7987","content":[{"type":"text","text":"F:\\Deepseek Harness\\Starbucks\\tmp_crops\\z_t1_tail.png (3450, 850)\r\nF:\\Deepseek Harness\\Starbucks\\tmp_crops\\z_t2_rows.png (3425, 800)\r\nF:\\Deepseek Harness\\Starbucks\\tmp_crops\\z_t3_mid.png (3400, 700)\r\nF:\\Deepseek Harness\\Starbucks\\tmp_crops\\z_t3_tail.png (3400, 700)\r\n"}],"isError":false,"id":"01015923-5d48-414c-b301-1407941f34a4"},"meta":{"cwd":"F:\\Deepseek Harness\\Starbucks"}}{"file_path": "F:\\Deepseek Harness\\Starbucks\\tmp_crops\\z_t1_tail.png"}
{"turn":1,"step":26,"message":{"role":"tool","source":{"kind":"tool","callId":"call_00_ET_LiYtbl63vsdwjh9TnMrS8023"},"toolCallId":"call_00_ET_LiYtbl63vsdwjh9TnMrS8023","content":[{"type":"text","text":"<path>F:\\Deepseek Harness\\Starbucks\\tmp_crops\\z_t1_tail.png</path>\n<type>image</type>\n<content>\nimage/jpeg image, 3450x850 px, 121569 bytes\n</content>"},{"type":"image","attachment":{"attachmentId":"sha256:7e2b8d62cca2198cd54c073418d25b216dccbae9bcf4447eaf45aa118b1b9c50","mediaType":"image/jpeg","bytes":121569,"width":3450,"height":850,"name":"z_t1_tail.png"}}],"isError":false,"id":"46f5d90d-bf78-42b9-9db3-44fb7c916425"},"meta":{"path":"F:\\Deepseek Harness\\Starbucks\\tmp_crops\\z_t1_tail.png"}}{"file_path": "F:\\Deepseek Harness\\Starbucks\\tmp_crops\\z_t2_rows.png"}
{"turn":1,"step":27,"message":{"role":"tool","source":{"kind":"tool","callId":"call_00_MjaSbn68ak0sfWqLJIgQ6713"},"toolCallId":"call_00_MjaSbn68ak0sfWqLJIgQ6713","content":[{"type":"text","text":"<path>F:\\Deepseek Harness\\Starbucks\\tmp_crops\\z_t2_rows.png</path>\n<type>image</type>\n<content>\nimage/jpeg image, 3425x800 px, 113488 bytes\n</content>"},{"type":"image","attachment":{"attachmentId":"sha256:cc5d4717b4713a32b5f13c24fa9cbcc8e313f1508d48903c9925a74905446e5a","mediaType":"image/jpeg","bytes":113488,"width":3425,"height":800,"name":"z_t2_rows.png"}}],"isError":false,"id":"3c2534ba-e6e6-4033-8c2f-503881733d52"},"meta":{"path":"F:\\Deepseek Harness\\Starbucks\\tmp_crops\\z_t2_rows.png"}}{"content": "from PIL import Image, ImageOps, ImageFilter\nimport os\n\nd = r\"E:\\星巴克\\SMT\\业务分析\"\nout = r\"F:\\Deepseek Harness\\Starbucks\\tmp_crops\"\nos.makedirs(out, exist_ok=True)\n\ndef go(src, tag, box, scale):\n im = Image.open(os.path.join(d, src)).convert(\"L\")\n c = im.crop(box)\n c = c.resize((c.width * scale, c.height * scale), Image.LANCZOS)\n c = c.filter(ImageFilter.UnsharpMask(radius=4, percent=200, threshold=2))\n c = ImageOps.autocontrast(c)\n p = os.path.join(out, tag + \".png\")\n c.save(p)\n print(p, c.size)\n\ngo(\"Screenshot_20261106_031457_com_joywok_starbucks_.jpg\", \"n_t2_nums\", (455, 1550, 640, 1700), 10)\ngo(\"Screenshot_20261106_031457_com_joywok_starbucks_.jpg\", \"n_t3_nums\", (880, 1780, 1080, 2070), 8)\n", "file_path": "F:\\Deepseek Harness\\Starbucks\\tmp_crop3.py"}
{"turn":1,"step":28,"message":{"role":"tool","source":{"kind":"tool","callId":"call_00_qVGr5HU5Vc8MVWk09j8t2263"},"toolCallId":"call_00_qVGr5HU5Vc8MVWk09j8t2263","content":[{"type":"text","text":"<path>F:\\Deepseek Harness\\Starbucks\\tmp_crop3.py</path>\n<type>file</type>\n<content>\nCreated file\n</content>"}],"isError":false,"id":"af46a298-2027-4c3c-a536-68bc5caf35f6"},"meta":{"operation":"create","path":"F:\\Deepseek Harness\\Starbucks\\tmp_crop3.py","diffs":[]}}{"command": "$py='C:\\Users\\JOHN\\.dsh\\dsh-runtimes\\dsh-primary-runtime\\dependencies\\python\\python.exe'; & $py \"F:\\Deepseek Harness\\Starbucks\\tmp_crop3.py\"", "description": "锐化裁剪数字列"}
{"turn":1,"step":29,"message":{"role":"tool","source":{"kind":"tool","callId":"call_00_ET_Nwq51nhMRcXVLIpHHwVK1252"},"toolCallId":"call_00_ET_Nwq51nhMRcXVLIpHHwVK1252","content":[{"type":"text","text":"F:\\Deepseek Harness\\Starbucks\\tmp_crops\\n_t2_nums.png (1850, 1500)\r\nF:\\Deepseek Harness\\Starbucks\\tmp_crops\\n_t3_nums.png (1600, 2320)\r\n"}],"isError":false,"id":"8822d803-d83d-43c7-b66f-dd82e1f313f3"},"meta":{"cwd":"F:\\Deepseek Harness\\Starbucks"}}{"file_path": "F:\\Deepseek Harness\\Starbucks\\tmp_crops\\n_t2_nums.png"}
{"turn":1,"step":30,"message":{"role":"tool","source":{"kind":"tool","callId":"call_00_ET_LTenSXct54Eooiw1pqsZ9920"},"toolCallId":"call_00_ET_LTenSXct54Eooiw1pqsZ9920","content":[{"type":"text","text":"<path>F:\\Deepseek Harness\\Starbucks\\tmp_crops\\n_t2_nums.png</path>\n<type>image</type>\n<content>\nimage/jpeg image, 1850x1500 px, 56921 bytes\n</content>"},{"type":"image","attachment":{"attachmentId":"sha256:ef8b62f3cde48206ab8ad1a714d28507f0609625835bbfd9d6400c66b333c95d","mediaType":"image/jpeg","bytes":56921,"width":1850,"height":1500,"name":"n_t2_nums.png"}}],"isError":false,"id":"de95fb57-a90f-4937-bd46-2bc8c8ce80b5"},"meta":{"path":"F:\\Deepseek Harness\\Starbucks\\tmp_crops\\n_t2_nums.png"}}{"content": "from PIL import Image, ImageOps, ImageFilter\nimport os\n\nd = r\"E:\\星巴克\\SMT\\业务分析\"\nout = r\"F:\\Deepseek Harness\\Starbucks\\tmp_crops\"\n\ndef go(src, tag, box, scale):\n im = Image.open(os.path.join(d, src)).convert(\"L\")\n c = im.crop(box)\n c = c.resize((c.width * scale, c.height * scale), Image.LANCZOS)\n c = c.filter(ImageFilter.UnsharpMask(radius=3, percent=180, threshold=2))\n c = ImageOps.autocontrast(c)\n p = os.path.join(out, tag + \".png\")\n c.save(p)\n print(p, c.size)\n\ngo(\"Screenshot_20261106_031457_com_joywok_starbucks_.jpg\", \"n2_t2\", (560, 1545, 720, 1700), 12)\ngo(\"Screenshot_20261106_031457_com_joywok_starbucks_.jpg\", \"n2_t3\", (860, 1770, 1020, 2075), 12)\n", "file_path": "F:\\Deepseek Harness\\Starbucks\\tmp_crop4.py"}
{"turn":1,"step":31,"message":{"role":"tool","source":{"kind":"tool","callId":"call_00_JALNG4l7QDn9lBzS15L41075"},"toolCallId":"call_00_JALNG4l7QDn9lBzS15L41075","content":[{"type":"text","text":"<path>F:\\Deepseek Harness\\Starbucks\\tmp_crop4.py</path>\n<type>file</type>\n<content>\nCreated file\n</content>"}],"isError":false,"id":"e191e814-b970-4c66-8bdc-bc2ff8df6294"},"meta":{"operation":"create","path":"F:\\Deepseek Harness\\Starbucks\\tmp_crop4.py","diffs":[]}}{"command": "$py='C:\\Users\\JOHN\\.dsh\\dsh-runtimes\\dsh-primary-runtime\\dependencies\\python\\python.exe'; & $py \"F:\\Deepseek Harness\\Starbucks\\tmp_crop4.py\"", "description": "再裁剪两列数字区域"}
{"turn":1,"step":32,"message":{"role":"tool","source":{"kind":"tool","callId":"call_00_ET_kmFxXiDCpMb7W3AQ4TLy9524"},"toolCallId":"call_00_ET_kmFxXiDCpMb7W3AQ4TLy9524","content":[{"type":"text","text":"F:\\Deepseek Harness\\Starbucks\\tmp_crops\\n2_t2.png (1920, 1860)\r\nF:\\Deepseek Harness\\Starbucks\\tmp_crops\\n2_t3.png (1920, 3660)\r\n"}],"isError":false,"id":"d48a3acb-bddd-40c0-92c0-77969f0216a8"},"meta":{"cwd":"F:\\Deepseek Harness\\Starbucks"}}{"file_path": "F:\\Deepseek Harness\\Starbucks\\tmp_crops\\n2_t2.png"}
{"turn":1,"step":33,"message":{"role":"tool","source":{"kind":"tool","callId":"call_00_ET_FCpGjfBH3GNYtbuSZB2g0063"},"toolCallId":"call_00_ET_FCpGjfBH3GNYtbuSZB2g0063","content":[{"type":"text","text":"<path>F:\\Deepseek Harness\\Starbucks\\tmp_crops\\n2_t2.png</path>\n<type>image</type>\n<content>\nimage/jpeg image, 1920x1860 px, 85397 bytes\n</content>"},{"type":"image","attachment":{"attachmentId":"sha256:4448c3d836a583b30f5870793fa2072e43e076ea2af76a4ba8f2e4e8ea085f28","mediaType":"image/jpeg","bytes":85397,"width":1920,"height":1860,"name":"n2_t2.png"}}],"isError":false,"id":"83ba103f-6d2c-4af0-8081-7c6c5ab41540"},"meta":{"path":"F:\\Deepseek Harness\\Starbucks\\tmp_crops\\n2_t2.png"}}{"content": "from PIL import Image, ImageOps\nimport os\n\nd = r\"E:\\星巴克\\SMT\\业务分析\"\nout = r\"F:\\Deepseek Harness\\Starbucks\\tmp_crops\"\n\ndef go(src, tag, box, scale, th):\n im = Image.open(os.path.join(d, src)).convert(\"L\")\n c = im.crop(box)\n c = c.resize((c.width * scale, c.height * scale), Image.LANCZOS)\n c = c.point(lambda p: 0 if p < th else 255)\n p = os.path.join(out, tag + \".png\")\n c.save(p)\n print(p, c.size)\n\ngo(\"Screenshot_20261106_031457_com_joywok_starbucks_.jpg\", \"b_t2\", (560, 1545, 720, 1700), 12, 150)\ngo(\"Screenshot_20261106_031457_com_joywok_starbucks_.jpg\", \"b_t3\", (860, 1770, 1020, 2075), 12, 150)\ngo(\"Screenshot_20261106_031457_com_joywok_starbucks_.jpg\", \"b_t2b\", (560, 1545, 720, 1700), 12, 120)\ngo(\"Screenshot_20261106_031457_com_joywok_starbucks_.jpg\", \"b_t3b\", (860, 1770, 1020, 2075), 12, 120)\n", "file_path": "F:\\Deepseek Harness\\Starbucks\\tmp_crop5.py"}
{"turn":1,"step":34,"message":{"role":"tool","source":{"kind":"tool","callId":"call_00_bgwDE4SRcXUIpISNn0rI5997"},"toolCallId":"call_00_bgwDE4SRcXUIpISNn0rI5997","content":[{"type":"text","text":"<path>F:\\Deepseek Harness\\Starbucks\\tmp_crop5.py</path>\n<type>file</type>\n<content>\nCreated file\n</content>"}],"isError":false,"id":"a0d7e2d9-dd1e-4211-a937-48d694fe4d24"},"meta":{"operation":"create","path":"F:\\Deepseek Harness\\Starbucks\\tmp_crop5.py","diffs":[]}}{"command": "$py='C:\\Users\\JOHN\\.dsh\\dsh-runtimes\\dsh-primary-runtime\\dependencies\\python\\python.exe'; & $py \"F:\\Deepseek Harness\\Starbucks\\tmp_crop5.py\"", "description": "二值化去除水印"}
{"turn":1,"step":35,"message":{"role":"tool","source":{"kind":"tool","callId":"call_00_ET_gZnNY6hNMLwRvoVu6Ikg8144"},"toolCallId":"call_00_ET_gZnNY6hNMLwRvoVu6Ikg8144","content":[{"type":"text","text":"F:\\Deepseek Harness\\Starbucks\\tmp_crops\\b_t2.png (1920, 1860)\r\nF:\\Deepseek Harness\\Starbucks\\tmp_crops\\b_t3.png (1920, 3660)\r\nF:\\Deepseek Harness\\Starbucks\\tmp_crops\\b_t2b.png (1920, 1860)\r\nF:\\Deepseek Harness\\Starbucks\\tmp_crops\\b_t3b.png (1920, 3660)\r\n"}],"isError":false,"id":"cfbd5712-61c0-4e83-b66d-5e2b541ca740"},"meta":{"cwd":"F:\\Deepseek Harness\\Starbucks"}}{"file_path": "F:\\Deepseek Harness\\Starbucks\\tmp_crops\\b_t2.png"}
{"turn":1,"step":36,"message":{"role":"tool","source":{"kind":"tool","callId":"call_00_ET_FmIhb0rstXDB2A2PcLrF9995"},"toolCallId":"call_00_ET_FmIhb0rstXDB2A2PcLrF9995","content":[{"type":"text","text":"<path>F:\\Deepseek Harness\\Starbucks\\tmp_crops\\b_t2.png</path>\n<type>image</type>\n<content>\nimage/jpeg image, 1920x1860 px, 74791 bytes\n</content>"},{"type":"image","attachment":{"attachmentId":"sha256:8eade188fbb3118ce6fd2c42f0fedce2274a09e9c02ceb03c7cded7acc7e82b7","mediaType":"image/jpeg","bytes":74791,"width":1920,"height":1860,"name":"b_t2.png"}}],"isError":false,"id":"eeeda9ca-29d8-4e19-8611-7435b57e485e"},"meta":{"path":"F:\\Deepseek Harness\\Starbucks\\tmp_crops\\b_t2.png"}}{"file_path": "F:\\Deepseek Harness\\Starbucks\\tmp_crops\\b_t3.png"}
{"turn":1,"step":37,"message":{"role":"tool","source":{"kind":"tool","callId":"call_00_kFyIoYxsDW5iCuw6BBZY7009"},"toolCallId":"call_00_kFyIoYxsDW5iCuw6BBZY7009","content":[{"type":"text","text":"<path>F:\\Deepseek Harness\\Starbucks\\tmp_crops\\b_t3.png</path>\n<type>image</type>\n<content>\nimage/jpeg image, 1483x2827 px, 194782 bytes (downscaled from 1920x3660 px; multiply coordinates by 1.29 to locate features in the original file)\n</content>"},{"type":"image","attachment":{"attachmentId":"sha256:b230044c51e62ea2bd269564fa04bf7b2873561ffbc8f86b66c048acbd237479","mediaType":"image/jpeg","bytes":194782,"width":1483,"height":2827,"name":"b_t3.png","originalDimensions":{"width":1920,"height":3660}}}],"isError":false,"id":"13aa64a2-c441-4cb2-94e0-08cb0bc59dd1"},"meta":{"path":"F:\\Deepseek Harness\\Starbucks\\tmp_crops\\b_t3.png"}}{"content": "from PIL import Image\nimport os\n\nd = r\"E:\\星巴克\\SMT\\业务分析\"\nout = r\"F:\\Deepseek Harness\\Starbucks\\tmp_crops\"\n\ndef go(src, tag, box, scale, th=110):\n im = Image.open(os.path.join(d, src)).convert(\"L\")\n c = im.crop(box)\n c = c.resize((c.width * scale, c.height * scale), Image.LANCZOS)\n c = c.point(lambda p: 0 if p < th else 255)\n p = os.path.join(out, tag + \".png\")\n c.save(p)\n print(p, c.size)\n\ngo(\"Screenshot_20261106_031457_com_joywok_starbucks_.jpg\", \"c_t3a\", (930, 1760, 1140, 1930), 10)\ngo(\"Screenshot_20261106_031457_com_joywok_starbucks_.jpg\", \"c_t3b\", (930, 1930, 1140, 2080), 10)\n", "file_path": "F:\\Deepseek Harness\\Starbucks\\tmp_crop6.py"}
{"turn":1,"step":38,"message":{"role":"tool","source":{"kind":"tool","callId":"call_00_YYigk1Cg1zOjmYQt5Hjk1719"},"toolCallId":"call_00_YYigk1Cg1zOjmYQt5Hjk1719","content":[{"type":"text","text":"<path>F:\\Deepseek Harness\\Starbucks\\tmp_crop6.py</path>\n<type>file</type>\n<content>\nCreated file\n</content>"}],"isError":false,"id":"bcb5798d-f9d3-4c65-bd95-c93d83a22cdf"},"meta":{"operation":"create","path":"F:\\Deepseek Harness\\Starbucks\\tmp_crop6.py","diffs":[]}}{"command": "$py='C:\\Users\\JOHN\\.dsh\\dsh-runtimes\\dsh-primary-runtime\\dependencies\\python\\python.exe'; & $py \"F:\\Deepseek Harness\\Starbucks\\tmp_crop6.py\"", "description": "裁剪 t3 数字列"}
{"turn":1,"step":39,"message":{"role":"tool","source":{"kind":"tool","callId":"call_00_ET_fGF6LE7zYtTaO0TybR0v5291"},"toolCallId":"call_00_ET_fGF6LE7zYtTaO0TybR0v5291","content":[{"type":"text","text":"F:\\Deepseek Harness\\Starbucks\\tmp_crops\\c_t3a.png (2100, 1700)\r\nF:\\Deepseek Harness\\Starbucks\\tmp_crops\\c_t3b.png (2100, 1500)\r\n"}],"isError":false,"id":"00aaaaa3-7b4e-4af1-8bcf-957e02cf5dde"},"meta":{"cwd":"F:\\Deepseek Harness\\Starbucks"}}{"file_path": "F:\\Deepseek Harness\\Starbucks\\tmp_crops\\c_t3a.png"}
{"turn":1,"step":40,"message":{"role":"tool","source":{"kind":"tool","callId":"call_00_ET_pXuVWaG98mECxKMzF0sD2221"},"toolCallId":"call_00_ET_pXuVWaG98mECxKMzF0sD2221","content":[{"type":"text","text":"<path>F:\\Deepseek Harness\\Starbucks\\tmp_crops\\c_t3a.png</path>\n<type>image</type>\n<content>\nimage/jpeg image, 2100x1700 px, 55312 bytes\n</content>"},{"type":"image","attachment":{"attachmentId":"sha256:6048859dfda9c2a00c55920edf6904c024a1d79d64df7e4263a851ac8069f766","mediaType":"image/jpeg","bytes":55312,"width":2100,"height":1700,"name":"c_t3a.png"}}],"isError":false,"id":"b66ce442-f833-42b9-86e9-d46a56773d70"},"meta":{"path":"F:\\Deepseek Harness\\Starbucks\\tmp_crops\\c_t3a.png"}}{"content": "from PIL import Image, ImageOps, ImageFilter\nimport os\n\nd = r\"E:\\星巴克\\SMT\\业务分析\"\nout = r\"F:\\Deepseek Harness\\Starbucks\\tmp_crops\"\n\ndef go(src, tag, box, scale):\n im = Image.open(os.path.join(d, src)).convert(\"L\")\n c = im.crop(box)\n c = c.resize((c.width * scale, c.height * scale), Image.LANCZOS)\n c = c.filter(ImageFilter.SHARPEN)\n c = ImageOps.autocontrast(c, cutoff=1)\n p = os.path.join(out, tag + \".png\")\n c.save(p)\n print(p, c.size)\n\ngo(\"Screenshot_20261106_031457_com_joywok_starbucks_.jpg\", \"g_t3_full\", (60, 1740, 1250, 2080), 4)\n", "file_path": "F:\\Deepseek Harness\\Starbucks\\tmp_crop7.py"}
{"turn":1,"step":41,"message":{"role":"tool","source":{"kind":"tool","callId":"call_00_xPqmBkPKZhKOIBU8id9t8833"},"toolCallId":"call_00_xPqmBkPKZhKOIBU8id9t8833","content":[{"type":"text","text":"<path>F:\\Deepseek Harness\\Starbucks\\tmp_crop7.py</path>\n<type>file</type>\n<content>\nCreated file\n</content>"}],"isError":false,"id":"a33e0793-48c1-422d-b53e-98d6a1c30734"},"meta":{"operation":"create","path":"F:\\Deepseek Harness\\Starbucks\\tmp_crop7.py","diffs":[]}}{"command": "$py='C:\\Users\\JOHN\\.dsh\\dsh-runtimes\\dsh-primary-runtime\\dependencies\\python\\python.exe'; & $py \"F:\\Deepseek Harness\\Starbucks\\tmp_crop7.py\"", "description": "t3 全表灰度放大"}
{"turn":1,"step":42,"message":{"role":"tool","source":{"kind":"tool","callId":"call_00_ET_9PLFk4SDBmpXLW9QrK1R2405"},"toolCallId":"call_00_ET_9PLFk4SDBmpXLW9QrK1R2405","content":[{"type":"text","text":"F:\\Deepseek Harness\\Starbucks\\tmp_crops\\g_t3_full.png (4760, 1360)\r\n"}],"isError":false,"id":"364daeb5-a9ab-4358-9ce6-870e97653ae5"},"meta":{"cwd":"F:\\Deepseek Harness\\Starbucks"}}{"file_path": "F:\\Deepseek Harness\\Starbucks\\tmp_crops\\g_t3_full.png"}
{"turn":1,"step":43,"message":{"role":"tool","source":{"kind":"tool","callId":"call_00_ET_CpNSJdDJPSARI6k5Oj401751"},"toolCallId":"call_00_ET_CpNSJdDJPSARI6k5Oj401751","content":[{"type":"text","text":"<path>F:\\Deepseek Harness\\Starbucks\\tmp_crops\\g_t3_full.png</path>\n<type>image</type>\n<content>\nimage/jpeg image, 3829x1094 px, 231052 bytes (downscaled from 4760x1360 px; multiply coordinates by 1.24 to locate features in the original file)\n</content>"},{"type":"image","attachment":{"attachmentId":"sha256:8e668cdf004fd40c8c28646dba1aeb9ac3ad38d4bfb4f38cd24d95a8902c6a5c","mediaType":"image/jpeg","bytes":231052,"width":3829,"height":1094,"name":"g_t3_full.png","originalDimensions":{"width":4760,"height":1360}}}],"isError":false,"id":"2bbb2e0c-c915-4d49-8f60-07131cad3deb"},"meta":{"path":"F:\\Deepseek Harness\\Starbucks\\tmp_crops\\g_t3_full.png"}}{"content": "from PIL import Image, ImageOps, ImageFilter\nimport os\n\nd = r\"E:\\星巴克\\SMT\\业务分析\"\nout = r\"F:\\Deepseek Harness\\Starbucks\\tmp_crops\"\n\ndef go(src, tag, box, scale):\n im = Image.open(os.path.join(d, src)).convert(\"L\")\n c = im.crop(box)\n c = c.resize((c.width * scale, c.height * scale), Image.LANCZOS)\n c = c.filter(ImageFilter.SHARPEN)\n c = ImageOps.autocontrast(c, cutoff=1)\n p = os.path.join(out, tag + \".png\")\n c.save(p)\n print(p, c.size)\n\ngo(\"Screenshot_20261106_031457_com_joywok_starbucks_.jpg\", \"g_t2_full\", (60, 1450, 800, 1700), 5)\ngo(\"Screenshot_20261106_031457_com_joywok_starbucks_.jpg\", \"g_t1_head\", (520, 1080, 1250, 1240), 5)\n", "file_path": "F:\\Deepseek Harness\\Starbucks\\tmp_crop8.py"}
{"turn":1,"step":44,"message":{"role":"tool","source":{"kind":"tool","callId":"call_00_Lrbw4QNcF3GveunjTIc52823"},"toolCallId":"call_00_Lrbw4QNcF3GveunjTIc52823","content":[{"type":"text","text":"<path>F:\\Deepseek Harness\\Starbucks\\tmp_crop8.py</path>\n<type>file</type>\n<content>\nCreated file\n</content>"}],"isError":false,"id":"45bc6042-b025-4dbc-bf23-37797dd1aa81"},"meta":{"operation":"create","path":"F:\\Deepseek Harness\\Starbucks\\tmp_crop8.py","diffs":[]}}{"command": "$py='C:\\Users\\JOHN\\.dsh\\dsh-runtimes\\dsh-primary-runtime\\dependencies\\python\\python.exe'; & $py \"F:\\Deepseek Harness\\Starbucks\\tmp_crop8.py\"", "description": "t2 全表与 t1 表头放大"}
{"turn":1,"step":45,"message":{"role":"tool","source":{"kind":"tool","callId":"call_00_ET_lxDyDjCKOZLwo9tIsmBw0140"},"toolCallId":"call_00_ET_lxDyDjCKOZLwo9tIsmBw0140","content":[{"type":"text","text":"F:\\Deepseek Harness\\Starbucks\\tmp_crops\\g_t2_full.png (3700, 1250)\r\nF:\\Deepseek Harness\\Starbucks\\tmp_crops\\g_t1_head.png (3650, 800)\r\n"}],"isError":false,"id":"62dfdd89-9fe3-4945-ad09-f56a2acf15be"},"meta":{"cwd":"F:\\Deepseek Harness\\Starbucks"}}{"file_path": "F:\\Deepseek Harness\\Starbucks\\tmp_crops\\g_t2_full.png"}
{"turn":1,"step":46,"message":{"role":"tool","source":{"kind":"tool","callId":"call_00_ET_T6u6zXhXnvzJqfFpXXfD6534"},"toolCallId":"call_00_ET_T6u6zXhXnvzJqfFpXXfD6534","content":[{"type":"text","text":"<path>F:\\Deepseek Harness\\Starbucks\\tmp_crops\\g_t2_full.png</path>\n<type>image</type>\n<content>\nimage/jpeg image, 3522x1190 px, 160396 bytes (downscaled from 3700x1250 px; multiply coordinates by 1.05 to locate features in the original file)\n</content>"},{"type":"image","attachment":{"attachmentId":"sha256:c2d33323dedf66f88c039829d80fb822e6abdcf1f8d8fe4d8ac77a5a868df6ef","mediaType":"image/jpeg","bytes":160396,"width":3522,"height":1190,"name":"g_t2_full.png","originalDimensions":{"width":3700,"height":1250}}}],"isError":false,"id":"98facdd8-6deb-474c-9d0f-4045a4b8326e"},"meta":{"path":"F:\\Deepseek Harness\\Starbucks\\tmp_crops\\g_t2_full.png"}}{"content": "from PIL import Image, ImageOps\nimport os\n\nd = r\"E:\\星巴克\\SMT\\业务分析\"\nout = r\"F:\\Deepseek Harness\\Starbucks\\tmp_crops\"\n\nim = Image.open(os.path.join(d, \"Screenshot_20261106_031457_com_joywok_starbucks_.jpg\")).convert(\"L\")\nc = im.crop((570, 1548, 700, 1618))\nc = c.resize((c.width * 25, c.height * 25), Image.LANCZOS)\nc = ImageOps.autocontrast(c, cutoff=0)\nc.save(os.path.join(out, \"x_t2_zoom.png\"))\nprint(c.size)\n", "file_path": "F:\\Deepseek Harness\\Starbucks\\tmp_crop9.py"}
{"turn":1,"step":47,"message":{"role":"tool","source":{"kind":"tool","callId":"call_00_Vl5efoVjscgmrMbHysLP8640"},"toolCallId":"call_00_Vl5efoVjscgmrMbHysLP8640","content":[{"type":"text","text":"<path>F:\\Deepseek Harness\\Starbucks\\tmp_crop9.py</path>\n<type>file</type>\n<content>\nCreated file\n</content>"}],"isError":false,"id":"d7524824-07d4-4a85-af06-22c47f0c8042"},"meta":{"operation":"create","path":"F:\\Deepseek Harness\\Starbucks\\tmp_crop9.py","diffs":[]}}{"command": "$py='C:\\Users\\JOHN\\.dsh\\dsh-runtimes\\dsh-primary-runtime\\dependencies\\python\\python.exe'; & $py \"F:\\Deepseek Harness\\Starbucks\\tmp_crop9.py\"", "description": "极限放大 t2 四行数字"}
{"turn":1,"step":48,"message":{"role":"tool","source":{"kind":"tool","callId":"call_00_ET_YSpF5m8QZxlrva2qnkOp3823"},"toolCallId":"call_00_ET_YSpF5m8QZxlrva2qnkOp3823","content":[{"type":"text","text":"(3250, 1750)\r\n"}],"isError":false,"id":"47273d92-400e-4c67-b489-ea2e9b55a445"},"meta":{"cwd":"F:\\Deepseek Harness\\Starbucks"}}{"file_path": "F:\\Deepseek Harness\\Starbucks\\tmp_crops\\x_t2_zoom.png"}
{"turn":1,"step":49,"message":{"role":"tool","source":{"kind":"tool","callId":"call_00_ET_VLDznqNbYwDscbYDDylr5260"},"toolCallId":"call_00_ET_VLDznqNbYwDscbYDDylr5260","content":[{"type":"text","text":"<path>F:\\Deepseek Harness\\Starbucks\\tmp_crops\\x_t2_zoom.png</path>\n<type>image</type>\n<content>\nimage/jpeg image, 2789x1502 px, 82719 bytes (downscaled from 3250x1750 px; multiply coordinates by 1.17 to locate features in the original file)\n</content>"},{"type":"image","attachment":{"attachmentId":"sha256:8651ccfd6ae8f9ca939474259edff08726c0b8bc4d316bc116941cc751c0549c","mediaType":"image/jpeg","bytes":82719,"width":2789,"height":1502,"name":"x_t2_zoom.png","originalDimensions":{"width":3250,"height":1750}}}],"isError":false,"id":"37150122-a3bf-4692-87c8-b179ff4205af"},"meta":{"path":"F:\\Deepseek Harness\\Starbucks\\tmp_crops\\x_t2_zoom.png"}}{"file_path": "F:\\Deepseek Harness\\Starbucks\\tmp_crops\\g_t1_head.png"}
{"turn":1,"step":50,"message":{"role":"tool","source":{"kind":"tool","callId":"call_00_RvJvYuVRpzdcNHyqDHry9801"},"toolCallId":"call_00_RvJvYuVRpzdcNHyqDHry9801","content":[{"type":"text","text":"<path>F:\\Deepseek Harness\\Starbucks\\tmp_crops\\g_t1_head.png</path>\n<type>image</type>\n<content>\nimage/jpeg image, 3650x800 px, 103261 bytes\n</content>"},{"type":"image","attachment":{"attachmentId":"sha256:d13871de28a29daa93d5707df35d9a9eda2d792056b7b2ffd07402ce349d4fa8","mediaType":"image/jpeg","bytes":103261,"width":3650,"height":800,"name":"g_t1_head.png"}}],"isError":false,"id":"c37a35ac-14d9-4158-8801-2cb5f8ca97f8"},"meta":{"path":"F:\\Deepseek Harness\\Starbucks\\tmp_crops\\g_t1_head.png"}}{"file_path": "F:\\Deepseek Harness\\Starbucks\\tmp_crops\\p23_report.png"}
{"turn":1,"step":51,"message":{"role":"tool","source":{"kind":"tool","callId":"call_00_tnaDSiDVs7F1fdqjW0Th9981"},"toolCallId":"call_00_tnaDSiDVs7F1fdqjW0Th9981","content":[{"type":"text","text":"<path>F:\\Deepseek Harness\\Starbucks\\tmp_crops\\p23_report.png</path>\n<type>image</type>\n<content>\nimage/jpeg image, 2678x1565 px, 270775 bytes (downscaled from 3285x1920 px; multiply coordinates by 1.23 to locate features in the original file)\n</content>"},{"type":"image","attachment":{"attachmentId":"sha256:53484fec8c0e01bb97efea6cad2f2aa2db4efe5899bc1487a0cf5317f00089cc","mediaType":"image/jpeg","bytes":270775,"width":2678,"height":1565,"name":"p23_report.png","originalDimensions":{"width":3285,"height":1920}}}],"isError":false,"id":"982a765e-2eab-4656-97ed-35b8b0e608c0"},"meta":{"path":"F:\\Deepseek Harness\\Starbucks\\tmp_crops\\p23_report.png"}}{"content": "from PIL import Image, ImageOps, ImageFilter\nimport os\n\nd = r\"E:\\星巴克\\SMT\\业务分析\"\nout = r\"F:\\Deepseek Harness\\Starbucks\\tmp_crops\"\n\ndef go(src, tag, box, scale, gray=True):\n im = Image.open(os.path.join(d, src))\n if gray:\n im = im.convert(\"L\")\n c = im.crop(box)\n c = c.resize((c.width * scale, c.height * scale), Image.LANCZOS)\n if gray:\n c = c.filter(ImageFilter.SHARPEN)\n c = ImageOps.autocontrast(c, cutoff=1)\n p = os.path.join(out, tag + \".png\")\n c.save(p)\n print(p, c.size)\n\ngo(\"Screenshot_20261106_024703_com_joywok_starbucks_.jpg\", \"d_dots\", (400, 1770, 900, 1800), 6)\ngo(\"Screenshot_20261106_031347_com_joywok_starbucks_.jpg\", \"d_p24txt\", (110, 1160, 940, 1420), 3)\ngo(\"Screenshot_20261106_031511_com_joywok_starbucks_.jpg\", \"d_p27opts\", (200, 1380, 1080, 1540), 3)\n", "file_path": "F:\\Deepseek Harness\\Starbucks\\tmp_crop10.py"}
{"turn":1,"step":52,"message":{"role":"tool","source":{"kind":"tool","callId":"call_00_8QZuPQAPfclLjPqIUKms1431"},"toolCallId":"call_00_8QZuPQAPfclLjPqIUKms1431","content":[{"type":"text","text":"<path>F:\\Deepseek Harness\\Starbucks\\tmp_crop10.py</path>\n<type>file</type>\n<content>\nCreated file\n</content>"}],"isError":false,"id":"875805f5-b423-4f61-802b-be75816cbb6c"},"meta":{"operation":"create","path":"F:\\Deepseek Harness\\Starbucks\\tmp_crop10.py","diffs":[]}}{"command": "$py='C:\\Users\\JOHN\\.dsh\\dsh-runtimes\\dsh-primary-runtime\\dependencies\\python\\python.exe'; & $py \"F:\\Deepseek Harness\\Starbucks\\tmp_crop10.py\"", "description": "裁剪圆点、P24文字、P27选项"}
{"turn":1,"step":53,"message":{"role":"tool","source":{"kind":"tool","callId":"call_00_ET_0ZyTpUQjZBhLXm7Y7h7M5444"},"toolCallId":"call_00_ET_0ZyTpUQjZBhLXm7Y7h7M5444","content":[{"type":"text","text":"F:\\Deepseek Harness\\Starbucks\\tmp_crops\\d_dots.png (3000, 180)\r\nF:\\Deepseek Harness\\Starbucks\\tmp_crops\\d_p24txt.png (2490, 780)\r\nF:\\Deepseek Harness\\Starbucks\\tmp_crops\\d_p27opts.png (2640, 480)\r\n"}],"isError":false,"id":"1d246bc2-00d5-4242-8ac2-45af9d11ca91"},"meta":{"cwd":"F:\\Deepseek Harness\\Starbucks"}}{"file_path": "F:\\Deepseek Harness\\Starbucks\\tmp_crops\\d_dots.png"}
{"turn":1,"step":54,"message":{"role":"tool","source":{"kind":"tool","callId":"call_00_ET_RB7OiDzkj3SmgK28kJik1216"},"toolCallId":"call_00_ET_RB7OiDzkj3SmgK28kJik1216","content":[{"type":"text","text":"<path>F:\\Deepseek Harness\\Starbucks\\tmp_crops\\d_dots.png</path>\n<type>image</type>\n<content>\nimage/jpeg image, 3000x180 px, 8580 bytes\n</content>"},{"type":"image","attachment":{"attachmentId":"sha256:b87d530295e50b262d1ec8bad5b60cf7101655467172a0680d6d9e397ebfc561","mediaType":"image/jpeg","bytes":8580,"width":3000,"height":180,"name":"d_dots.png"}}],"isError":false,"id":"83480164-9736-4335-8eec-4c4e2155b0e0"},"meta":{"path":"F:\\Deepseek Harness\\Starbucks\\tmp_crops\\d_dots.png"}}{"file_path": "F:\\Deepseek Harness\\Starbucks\\tmp_crops\\d_p24txt.png"}
{"turn":1,"step":55,"message":{"role":"tool","source":{"kind":"tool","callId":"call_00_4ohNwweKRUGdHLGGZ4av3364"},"toolCallId":"call_00_4ohNwweKRUGdHLGGZ4av3364","content":[{"type":"text","text":"<path>F:\\Deepseek Harness\\Starbucks\\tmp_crops\\d_p24txt.png</path>\n<type>image</type>\n<content>\nimage/jpeg image, 2490x780 px, 121239 bytes\n</content>"},{"type":"image","attachment":{"attachmentId":"sha256:b96cb990316cb388d82e6f5f4801f9487ad8761690cab9aa4407181af5b98043","mediaType":"image/jpeg","bytes":121239,"width":2490,"height":780,"name":"d_p24txt.png"}}],"isError":false,"id":"ac15a9da-d492-4fbe-9592-881825ef5c9e"},"meta":{"path":"F:\\Deepseek Harness\\Starbucks\\tmp_crops\\d_p24txt.png"}}{"file_path": "F:\\Deepseek Harness\\Starbucks\\tmp_crops\\d_p27opts.png"}
{"turn":1,"step":56,"message":{"role":"tool","source":{"kind":"tool","callId":"call_00_y52rArE7rb9J7CEPV9S91017"},"toolCallId":"call_00_y52rArE7rb9J7CEPV9S91017","content":[{"type":"text","text":"<path>F:\\Deepseek Harness\\Starbucks\\tmp_crops\\d_p27opts.png</path>\n<type>image</type>\n<content>\nimage/jpeg image, 2640x480 px, 67329 bytes\n</content>"},{"type":"image","attachment":{"attachmentId":"sha256:d0b9091dd8986822284159c0581491f7eb1e62316a367721d62c0ed594fd542b","mediaType":"image/jpeg","bytes":67329,"width":2640,"height":480,"name":"d_p27opts.png"}}],"isError":false,"id":"fd367f1b-c380-47ee-8ccd-b128e27cc707"},"meta":{"path":"F:\\Deepseek Harness\\Starbucks\\tmp_crops\\d_p27opts.png"}}所属章节：4 业务分析2-损益表解读｜页脚 (19/51)
页面导语：现在，让我们回顾刚才的视频内的重要知识点： ｜ 点击切换视角，了解损益表详细信息
交互：卡片左右箭头（‹ ›）切换；卡片下方有 6 个圆形指示点，本次截图覆盖其中 4 个视角，其余视角未截取（未展开）。
视角 1｜毛利 Gross Margin
视角 2｜门店营运总开支 Total Operating Expenses
视角 3｜门店利润 Store Profit Contribution(SPC)
视角 4｜门店可控利润 Controllable SPC
每页固定参考栏：请参考：《门店营运资源手册》中的《损益表（P_L）阅读指引》
页脚 (20/51)
标题：业务分析步骤：
三步按顺时针箭头构成闭环（1→2→3，箭头自 1 指向 2、自 2 指向 3）。中部为礼盒插画；底部按钮「继续」。
页脚 (21/51)
标题：损益表的分析
内容：视频播放器（进度 0:00，底部提示「需看完整视频才能继续哦~」，右侧有文档图标可点击）。
视频下方的关键提示原文：
熟悉损益表的结构，掌握其中数据的计算逻辑，理解针对不同项目数据和占比分别代表的意义，这对我们分析门店业务至关重要。
（视频内容本身未播放，未展开。）
页脚 (22/51)
手机聊天界面还原，两条对话 + 一个气泡：
底部按钮「继续」。
页脚 (23/51)
进度：顶部为三节点进度条（当前为第 1 节点）。
提问原文：
我们要进行9月的差异分析，首先需要对比哪2项数据呢？
中部插入「Store P&L - Report」完整损益表截图（跨 2022Sep–2023Sep 各月及 Ytd 多列，行项目可见：Gross Sales、Average Daily Transactions (ADT)、Average Ticket (AT)、Growth%；Net Revenue 销售收入（净）/% of Net Sales 下含 Drip coffee 滴滤咖啡、Espresso drinks 浓缩饮料、Blended beverages 搅拌饮料、Other beverages 其他饮料、Food 食品、Packaged food/tea 包装食品/罐装茶、Hardware/serveware 商品、Whole bean 咖啡豆、Other retail products 其他零售商品；Cost of Goods Sold 销售成本 下含 a) % of Net Sales、b) % of Category Sales、c) % of Net Sales、Markouts 报废、Packaging 包装物、Local freight & distribution 物流&分销、Variance 差异/库存调整；Gross Margin% 毛利）。该报表为缩小图，具体数值不可辨（未展开），仅行项目结构可读。
提示文字：请点击查看完整损益表。
多选题选项（2 项应为答案）：
| 选项 | 选项 |
|---|---|
| ☐ FY 23 Aug | ☐ FY 23 Sept |
| ☐ FY 23 Ytd | ☐ FY 22 Aug |
| ☐ FY 22 Sept | ☐ FY 22 Ytd |
底部按钮「提交」。
页脚 (24/51)
讲解原文：
首先对门店的当年业绩与上一年进行同比，发现今年Growth -4%，SPC 13.7%低于去年同比，可控利率同样有所下滑
同页 Store P&L - Report 截图（列为 2023Sep / 2022Sep）：
| Store P&L - Report 行项目 | 2023Sep | 2022Sep |
|---|---|---|
| Gross Sales | 384,965 | 398,984 |
| Average Daily Transactions (ADT) | 211 | 217 |
| Average Ticket (AT) | 52.1 | 52.6 |
| Growth% (Gross Sales) | -4% | -11% |
| Net Revenue 销售收入（净） | 364,082 | 367,909 |
| % of Net Sales | （空，下方分项占比见表） |
底部按钮「继续」。
页脚 (26/51)｜说明：第 25 页未出现在本段 12 张截图内（未覆盖）。
表 1：销售收入（净）品类占比（% of Net Sales，列 2023Sep / 2022Sep）
| Net Revenue / % of Net Sales | 2023Sep | 2022Sep |
|---|---|---|
| Net Revenue 销售收入（净） | 364,082 | 367,909 |
| Drip coffee 滴滤咖啡 | 4.6% | 4.9% |
| Espresso drinks 浓缩饮料 | 44.0% | 47.0% |
| Blended beverages 搅拌饮料 | 10.0% | 11.4% |
| Other beverages 其他饮料 | 15.2% | 11.4% |
| Food 食品 | 10.2% | 11.0% |
| Packaged food/tea 包装食品/罐装茶 | 8.3% | 6.1% |
| Hardware/serveware 商品 | 4.4% | 4.8% |
| Whole bean 咖啡豆 | 0.5% | 0.5% |
| Other retail products 其他零售商品 | 3.0% | 2.9% |
配文：
门店ADT及AT基本保持不变，但盈利水平有下降。
表 2：销售成本 COGS（列 2023Sep / 2022Sep）
| Cost of Goods Sold 销售成本 | 2023Sep | 2022Sep |
|---|---|---|
| Cost of Goods Sold 销售成本 | 130,872 | 113,835 |
| a) % of Net Sales | 36.0% | 30.9% |
| b) % of Category Sales | （空） | （空） |
| c) % of Net Sales | （小标题，下列为分项） | |
| Markouts 报废 | 1.4% | 1.4% |
| Packaging 包装物 | 3.4% | 2.7% |
| Local freight & distribution 物流&分销 | 1.5% | 1.1% |
| Variance 差异/库存调整（原表黄色高亮） | 3.4% | 0.3% |
配文（右侧）：
门店差异/库存调整的差异较大。
（Packaging 行第二列数字被「2026」水印局部遮挡，辨识为 2.7%，存疑标注。）
表 3：其他开支与工资福利（列 2023Sep / 2022Sep）
| Other Expenses / Salaries & Benefit | 2023Sep | 2022Sep |
|---|---|---|
| Other Expenses 其他开支 | 25,836 | 21,970 |
| % of Net Sales | 7.1% | 6.0% |
| Equipment maintenance 设备维修维护 | 1.2% | 0.7% |
| Telephone 电话费 | 0.3% | 0.4% |
| Other operating expenses 其他营运开支 | 3.4% | 3.1% |
| Project fees 外包项目费用 | 1.9% | 1.5% |
| Bank fees and tax 银行手续费及附加税金 | 0.5% | 0.5% |
| T&E 门店差旅及招待费 | 0.0% | 0.2% |
| Other 其他 | 1.3% | 1.0% |
| Supplies 日常用品 | 2.0% | 1.5% |
| Sampling 品尝 | 0.1% | 0.2% |
| Salaries & Benefit 工资福利 | 75,310 | 77,597 |
| % of Net Sales | 20.7% | 21.1% |
| Salaries 工资 | 12.0% | 13.9% |
| Bonus 奖金 | 4.2% | 2.2% |
| Pension, social & other benefits 伙伴福利 | 4.5% | 5.0% |
配文（左侧）：
门店在其他开支、工资福利均维持基本水平。
底部按钮「继续」。
页脚 (27/51)
进度：三节点进度条，当前为第 2 节点。
提问原文：
分析完具体表格，假设你是店经理，需要做哪些工作，为解决损益表差异分析暴露出的问题而努力呢？
多选项（原文照录）：
| ☐ | 选项原文 |
|---|---|
| ☐ | 店经理可以重点关注Variance的品类情况 |
| ☐ | 店经理可以进一步深入分析差异原因 |
| ☐ | 店经理可以查看Inventory相关报表 |
提示文字：请点击选择正确选项｜底部按钮「提交」。
页脚 (28/51)
插画：上级与绿围裙店经理并列；两个对话气泡：
下方两个圆形入口图标：体验（笔记本+笔图标）、实践（门店/货架图标），提示文字：请点击查看更多信息（两个入口内容未展开）。
实际覆盖页码：P19、P20、P21、P22、P23、P24、P26、P27、P28（对应目录内按文件名升序第 37–48 张 jpg）。P25 未包含在这 12 张截图内，未覆盖。
{"agent_id": "session-90536f2c-f7ad-45e1-9a96-903c870a78a5", "message": "已完成《业务分析》(51页) 第 37–48 张 jpg 的整理，覆盖页码 P19、P20、P21、P22、P23、P24、P26、P27、P28（P25 不在这 12 张内，未覆盖）。全文如下：\n\n---\n\n### P19 4.2 P&L 结构和组成（同页 4 个视角合并）\n\n所属章节：`4 业务分析2-损益表解读`｜页脚 (19/51)\n导语：现在，让我们回顾刚才的视频内的重要知识点： ｜ 点击切换视角，了解损益表详细信息\n交互：卡片左右箭头切换；卡片下方 6 个圆形指示点，截图覆盖 4 个视角，其余未截取（未展开）。\n\n**视角 1｜毛利 Gross Margin**\n- 毛利=门店销售收入-销售成本。\n- 这一结果还没有减掉任何营运开支，工资福利，日用品开支和租金等费用项。\n\n**视角 2｜门店营运总开支 Total Operating Expenses**\n- 是维持门店基本营运的成本，包括工资福利，租金，市场推广成本，其他开支和折旧。\n\n**视角 3｜门店利润 Store Profit Contribution(SPC)**\n- 指为门店赚得的利润金额或产生的损失金额。\n- 通常来说，门店利润=销售收入-销售成本-门店营运总开支。\n\n**视角 4｜门店可控利润 Controllable SPC**\n- 门店可控利润=门店利润+除水电费之外的租赁占用开支+市场推广成本+折旧+其他开支中的银行手续费及附加税金。\n\n固定参考栏：请参考：《门店营运资源手册》中的《损益表（P_L）阅读指引》\n\n### P20 4.3 利用 P&L 进行差异分析｜业务分析步骤\n(20/51) 业务分析步骤：1 辨识差异 → 2 分析原因 → 3 制定计划（顺时针闭环）。底部按钮「继续」。\n\n### P21 4.3 利用 P&L 进行差异分析｜损益表的分析（视频页）\n(21/51) 视频播放器 0:00，提示「需看完整视频才能继续哦~」。关键提示：熟悉损益表的结构，掌握其中数据的计算逻辑，理解针对不同项目数据和占比分别代表的意义，这对我们分析门店业务至关重要。（视频未播放，未展开）\n\n### P22 4.3.1 情景演练｜任务下达\n(22/51) 上级：各位店经理，今天内需要利用门店损益表进行9月门店营运差异分析，并制作分析报告参加当月的损益会议，请大家做好准备。→ 店经理：保证完成任务。→ 气泡：让我们一起利用损益表进行差异分析，找出提升门店利润的方法吧~ 底部「继续」。\n\n### P23 4.3.1 情景演练｜第 1 题\n(23/51) 进度第 1 节点。提
{"turn":1,"step":57,"message":{"role":"tool","source":{"kind":"tool","callId":"call_00_WZkp6QTHtwt7vXEM6of22958"},"toolCallId":"call_00_WZkp6QTHtwt7vXEM6of22958","content":[{"type":"text","text":"message delivered to agent session-90536f2c-f7ad-45e1-9a96-903c870a78a5"}],"isError":false,"id":"722b7caa-9129-408c-a196-fc1dc1b3650e"}}已整理完成，正文见上。补充两点执行说明：