{
  "id": "doctolib-doctolib/wobbly-gathering-dragon-subagent-acompact",
  "slug": "wobbly-gathering-dragon-subagent-acompact",
  "title": "Session: wobbly-gathering-dragon-subagent-acompact — 2026-02-26",
  "type": "source",
  "project": "doctolib-doctolib",
  "date": "2026-02-26",
  "started": "2026-02-26T14:52:02.639000+00:00",
  "ended": "2026-02-26T14:53:39.085000+00:00",
  "model": "claude-sonnet-4-6",
  "cwd": "/Users/USER/workspace/doctolib/doctolib",
  "git_branch": "master",
  "permission_mode": "",
  "user_messages": 1,
  "tool_calls": 0,
  "tools_used": [],
  "is_subagent": true,
  "wikilinks_out": [],
  "body_text": "Project: doctolib-doctolib · Branch: master · Mode:  · Model: claude-sonnet-4-6\n\nStats: 1 user messages, 0 tool calls, tools used: none.\n\nConversation\n\nTurn 0 — Assistant\n\nTool results:\n\n  → result (ok): {\"content\":{\"totalCount\":1,\"nodes\":[{\"id\":\"3709042879\",\"type\":\"page\",\"subtype\":\"\",\"status\":\"current\",\"title\":\"NHR - Architecture Proposal\",\"lastModified\":\"Feb 13, 2026\",\"summary\":\"Stakeholders FIRE (Sushan Gagneja Clerton Araujo Egon Mildenberg Esat Özbek Linh Nguyen Hoang Nivetha Yadhavan Richárd Ötvös !\",\"space\":{\"key\":\"PTA\",\"name\":\"Tech & Product documentation\"},\"_links\":{\"webui\":\"/spaces/PTA/pages/3709042879/NHR+-+Architecture+Proposal\"},\"author\":{\"displayName\":\"Sushan Gagneja\",\"avatarUrls\":\n…(truncated, 18265 more chars)\n\nTool results:\n\n  → result (ok): {\"content\":{\"totalCount\":1,\"nodes\":[{\"id\":\"3801089087\",\"type\":\"page\",\"subtype\":\"\",\"status\":\"current\",\"title\":\"NHR FR - DMP NHR Integration\",\"lastModified\":\"Feb 20, 2026\",\"summary\":\"Who? Team: FIRE (Sushan Gagneja Clerton Araujo Egon Mildenberg Esat Özbek Linh Nguyen Hoang Nivetha Yadhavan Richárd Ötvös !-@\",\"space\":{\"key\":\"PTA\",\"name\":\"Tech & Product documentation\"},\"_links\":{\"webui\":\"/spaces/PTA/pages/3801089087/NHR+FR+-+DMP+NHR+Integration\"},\"author\":{\"displayName\":\"Sushan Gagneja\",\"avatarUrls\n…(truncated, 4375 more chars)\n\nTool results:\n\n  → result (ok): {\"content\":{\"totalCount\":1,\"nodes\":[{\"id\":\"3724739386\",\"type\":\"page\",\"subtype\":\"\",\"status\":\"current\",\"title\":\"DMP Icanopee APIs Tech scoping\",\"lastModified\":\"Feb 06, 2026\",\"summary\":\"Who? Team: FIRE (Nivetha Yadhavan Clerton Araujo Egon Mildenberg Esat Özbek Linh Nguyen Hoang Richárd Ötvös Sergei Avanesov !-@\",\"space\":{\"key\":\"PTA\",\"name\":\"Tech & Product documentation\"},\"_links\":{\"webui\":\"/spaces/PTA/pages/3724739386/DMP+Icanopee+APIs+Tech+scoping\"},\"author\":{\"displayName\":\"Nivetha Yadhavan\",\"ava\n…(truncated, 13992 more chars)\n\nTool results:\n\n  → result (ok): {\"content\":{\"totalCount\":1,\"nodes\":[{\"id\":\"3810591019\",\"type\":\"page\",\"subtype\":\"\",\"status\":\"current\",\"title\":\"FIRE - DMP List View (Draft)\",\"lastModified\":\"yesterday at 5:14 PM\",\"summary\":\"Status Discovery done Product Manager Egon Mildenberg Tech Holder Clerton Araujo Product Designer Talita Botana Gallego User Researcher Talita Botana Gallego Egon Mildenberg UX Writer @[name] Product Data Analyst @[name] PMM Owner!--https://docs.google.com/\",\"space\":{\"key\":\"PTA\",\"name\":\"Tech & Product document\n…(truncated, 22256 more chars)\n\nTool results:\n\n  → result (ok): {\"content\":{\"totalCount\":1,\"nodes\":[{\"id\":\"3720183896\",\"type\":\"page\",\"subtype\":\"\",\"status\":\"current\",\"title\":\"NHR - Scalable NHR Library - Tech Scoping\",\"lastModified\":\"Feb 19, 2026\",\"summary\":\"Who? Team: FIRE (Sushan Gagneja Clerton Araujo Egon Mildenberg Esat Özbek Linh Nguyen Hoang Nivetha Yadhavan Richárd Ötvös !-@\",\"space\":{\"key\":\"PTA\",\"name\":\"Tech & Product documentation\"},\"_links\":{\"webui\":\"/spaces/PTA/pages/3720183896/NHR+-+Scalable+NHR+Library+-+Tech+Scoping\"},\"author\":{\"displayName\":\"S\n…(truncated, 6772 more chars)\n\nTurn 1 — User\n\nYour task is to create a detailed summary of the conversation so far, paying close attention to the user's explicit requests and your previous actions.\nThis summary should be thorough in capturing technical details, code patterns, and architectural decisions that would be essential for continuing development work without losing context.\n\nBefore providing your final summary, wrap your analysis in <analysis> tags to organize your thoughts and ensure you've covered all necessary points. In your analysis process:\n\n1. Chronologically analyze each message and section of the conversation. For each section thoroughly identify:\n   - The user's explicit requests and intents\n   - Your approach to addressing the user's requests\n   - Key decisions, technical concepts and code patterns\n   - Specific details like:\n     - file names\n     - full code snippets\n     - function signatures\n     - file edits\n  - Errors that you ran into and how you fixed them\n  - Pay special attention to specific user feedback that you received, especially if the user told you to do something differently.\n2. Double-check for technical accuracy and completeness, addressing each required element thoroughly.\n\nYour summary should include the following sections:\n\n1. Primary Request and Intent: Capture all of the user's explicit requests and intents in detail\n2. Key Technical Concepts: List all important technical concepts, technologies, and frameworks discussed.\n3. Files and Code Sections: Enumerate specific files and code sections examined, modified, or created. Pay special attention to the most recent messages and include full code snippets where applicable and include a summary of why this file read or edit is important.\n4. Errors and fixes: List all errors that you ran into, and how you fixed them. Pay special attention to specific user feedback that you received, especially if the user told you to do something differently.\n5. Problem Solving: Document problems solved and any ongoing troubleshooting efforts.\n6. All user messages: List ALL user messages that are not tool results. These are critical for understanding the users' feedback and changing intent.\n6. Pending Tasks: Outline any pending tasks that you have explicitly been asked to work on.\n7. Current Work: Describe in detail precisely what was being worked on immediately before this summary request, paying special attention to the most recent messages from both user and assistant. Include file names and code snippets where applicable.\n8. Optional Next Step: List the next step that you will take that is related to the most recent work you were doing. IMPORTANT: ensure that this step is DIRECTLY in line with the user's most recent explicit requests, and the task you were working on immediately before this summary request. If your last task was concluded, then only list next steps if they are explicitly in line with the users request. Do not start on tangential requests or really old requests that were already completed without confirming with the user first.\n                       If there is a next step, include direct quotes from the most recent conversation showing exactly what task you were working on and where you left off. This should be verbatim to ensure there's no drift in task interpretation.\n\nHere's an example of how your output should be structured:\n\n<example>\n<analysis>\n[Your thought process, ensuring all points are covered thoroughly and accurately]\n</analysis>\n\n<summary>\n1. Primary Request and Intent:\n   [Detailed description]\n\n2. Key Technical Concepts:\n   - [Concept 1]\n   - [Concept 2]\n   - [...]\n\n3. Files and Code Sections:\n   - [File Name 1]\n      - [Summary of why this file is important]\n      - [Summary of the changes made to this file, if any]\n      - [Important Code Snippet]\n   - [File Name 2]\n      - [Important Code Snippet]\n   - [...]\n\n4. Errors and fixes:\n    - [Detailed description of error 1]:\n      - [How you fixed the error]\n      - [User feedback on the error if any]\n    - [...]\n\n5\n…(truncated, 1143 more chars)\n\nTurn 1 — Assistant\n\n<analysis>\nLet me analyze the conversation chronologically to capture all important details.\n\nConversation Flow\n\nMessage 1: Plan mode task\nThe user asked me to analyze the tech scoping document (tmp/nhr-document-list-tech-scoping.md) against 6 Confluence/Atlassian pages and make it compatible with them, adding cross-references where applicable. I was in plan mode when this was received.\n\nActions taken:\n1. Searched for Atlassian tools (found mcp__plugin_doctolib-base_atlassian__getConfluencePage)\n2. Read the first 80 lines of the tech scoping file\n3. Fetched all 5 available Confluence pages in parallel (the whiteboard page 3801318284 was not explicitly fetched yet):\n   - Page 3709042879: \"NHR - Architecture Proposal\" \n   - Page 3720183896: \"NHR - Scalable NHR Library - Tech Scoping\"\n   - Page 3724739386: \"DMP Icanopee APIs Tech scoping\"\n   - Page 3801089087: \"NHR FR - DMP NHR Integration\"\n   - Page 3810591019: \"FIRE - DMP List View (Draft)\"\n4. Read more of the tech scoping (lines 80-280)\n\nCurrent state: \nThe summary was requested while I was in the middle of Phase 1 (exploration) of plan mode, having successfully fetched 5 of the 6 pages and read portions of the tech scoping. I still need to:\n- Fetch the whiteboard (page 3801318284) \n- Read the remaining sections of the tech scoping file\n- Analyze compatibility gaps\n- Write the plan file\n\nKey findings from what was read:\n\nTech scoping (tmp/nhr-document-list-tech-scoping.md) key content already read (lines 1-280):\n- Project metadata section (placeholder values)\n- Summary covering DMP 3.1 + 3.1a certification\n- References section\n- Glossary with terms: DMP, Mon Espace Santé, NHR, INS, XDS, iCanopée, etc.\n- Main risk section about EX_3.1-2030 call discipline\n- Observability section\n- Out of scope table (DMP 3.2/3.3)\n- Roll-out strategy\n- Architecture section (decoupled generic renderer + product-line variation)\n- Packages affected table (tpf-national-health-records, tpf-national-health-records-ui, @doctolib/dmp, monolith)\n- High-level file structure\n- Key technical decisions:\n  - Two-state filter pattern\n  - ServerFilters opaque at generic layer with DmpServerFilters type\n  - PatientInfo minimal generic contract\n\nNHR Architecture Proposal (3709042879) key findings:\n- Proposes NHRService interface with search, create, delete?, download?, initialize, dispose\n- DmpService, EpaService, FseService all implement NhrService\n- Factory: createNHRService(country, gateway) \n- Architecture principle: \"TPF knows WHAT, monolith knows HOW\"\n- Monolith provides adapter implementations (DmpAdapterImpl, EpaAdapterImpl)\n- DocumentSearchProps interface with patient: PatientInformation and params: DocumentSearchParams\n- NhrService.searchDocuments() is synchronous in the architecture proposal diagram but the text shows it should be async\n- Uses DmpPlugin/EpaPlugin concept\n- DmpClient interface with fetchDocuments(ins, filters?), submitDocument, etc.\n- EpaClient interface with KVNR-based operations\n\nNHR Scalable Library Tech Scoping (3720183896) key findings:\n- Scope: \"Add general and scalable packages representing the business logic and the UI components\"\n- Already shipped features: Base Setup, Capabilities & DMP types (deprecated), Transform to new design, Add UI Package, Add NHR package in monolith\n- Key feature: \"Add NHR package in monolith and expose hook\" (useNhr)\n- Risk: No concrete way to test since code will be abstract; mitigated by mock service\n\nDMP iCanopee APIs Tech scoping (3724739386) key findings:\n- Implements FrDmpCommunication.ts with 6 new functions\n- hl_findDocuments, hl_getDocumentsContentByUniqueId, hl_setDmpAccessMode, hl_updateDocumentVisibilityByUniqueId, hl_updateDocumentStatusByUniqueId, hl_getDocumentHistoryByUniqueId\n- Changes are in app/assets/javascripts/contexts/doctor/desktop/FrDmp/FrDmpCommunication.ts\n- New packages: @doctolib/dmp-validation\n- New route in BMSApp.tsx\n- JIRA: FHIR-2001\n\nNHR FR - DMP NHR Integration (3801089087) key findings:\n- Scope: useDmpNhr() hook to integrate DMP operations\n- Needs DmpNhrAdapter linking tpf/national-health-records with DMP API\n- Uses session_id from localStorage for auth until abstract auth is ready\n- Period: 2/23/2026 - 3/13/2026\n\nFIRE - DMP List View Draft (3810591019) key findings:\n- Initial search triggered on opening patient file (NOT on modal open)\n  - \"On accessing the patient record, the system must check for prerequisites... make only ONE automatic TD3.1 call\"\n  - This CONFLICTS with the tech scoping which defers to modal open!\n- DMP 3.1 User Stories include:\n  - View DMP Documents List With No New Documents\n  - Filter by Single Document Type\n  - Filter by Multiple Document Types (multi-select)\n  - Filter by Service Date Range, Submission Date Range\n  - Include Archived Documents, Masked Documents, Documents Invisible to Patient/Legal Reps\n  - Display Old Document Versions\n- The product spec says \"Visually identify documents already in local patient record (SC.DMP/UX.14)\" - cross-reference feature\n- DMP 3.3 (out of scope for this plan): mask, unmask, visibility, archive, delete\n\nKey compatibility gaps to address:\n1. Architecture alignment: The tech scoping uses NhrAdapter/NhrService pattern correctly, but needs to reference the Architecture Proposal (3709042879) and Scalable Library (3720183896) as the upstream design context\n2. useDmpNhr() hook: The NHR FR integration (3801089087) plans a useDmpNhr() hook and DmpNhrAdapter - the tech scoping's useDmpDocumentSearch needs to align or reference this\n3. Initial call trigger: Product spec (3810591019) says auto-call on patient record open; tech scoping deliberately deviates and notes this decision. Cross-reference is needed.\n4. iCanopee APIs (3724739386): FrDmpCommunication.ts is the underlying layer the adapter uses. Tech scoping's ICanopeeNhrAdapter wraps functions from this file.\n5. createNhrService factory: Architecture proposal shows a factory; tech scoping bypasses it.\n6. Cross-references: Need to add links to all 6 documents in the tech scoping References section.\n\nWhat was NOT yet fetched:\n- Whiteboard 3801318284 (not a standard page, might not be fetchable)\n\nTech scoping content NOT yet read:\n- Lines 280+ (still need to read the rest of the file to understand all existing content)\n</analysis>\n\n<summary>\n1. Primary Request and Intent:\n   The user is in plan mode and has asked me to:\n   1. Analyze the tech scoping document (tmp/nhr-document-list-tech-scoping.md) against 6 Confluence/Atlassian reference documents\n   2. Identify compatibility gaps and necessary changes\n   3. Make the tech scoping compatible with those documents\n   4. Add cross-references where applicable\n   5. Write the plan to /Users/USER/.claude/plans/wobbly-gathering-dragon.md\n\n   The 6 reference URLs provided:\n   - 3709042879 — NHR Architecture Proposal\n   - 3720183896 — NHR Scalable NHR Library Tech Scoping\n   - 3801318284 — Whiteboard (PAGETREE, not a standard page)\n   - 3724739386 — DMP iCanopee APIs Tech scoping\n   - 3801089087 — NHR FR - DMP NHR Integration\n   - 3810591019 — FIRE - DMP List View (Draft)\n\n2. Key Technical Concepts:\n   - Plan mode — read-only except for plan file at /Users/USER/.claude/plans/wobbly-gathering-dragon.md\n   - tpf-national-health-records — TPF package with NhrService, NhrAdapter, DocumentSearchParams, NhrDocument; located in treatment-plan/packages/tpf-national-health-records\n   - tpf-national-health-records-ui — TPF UI package with generic renderer components; in treatment-plan/packages/tpf-national-health-records-ui\n   - @doctolib/dmp — Monolith DMP package; nhr-document-list/ folder being added\n   - NhrService / NhrAdapter pattern — \"TPF knows WHAT, monolith knows HOW\"; service holds business logic, adapter is a dumb API wrapper\n   - `create\n…(truncated, 9124 more chars)",
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}