import urllib.request import json import os import sys base_url = "http://localhost:5179" output_file = r"C:\Users\gulum\dev\GerbilManager\docs\active-triage-summary.md" def fetch_json(path): url = f"{base_url}{path}" try: req = urllib.request.Request(url) with urllib.request.urlopen(req) as r: return json.loads(r.read().decode('utf-8')) except Exception: return None def main(): print("Fetching active tickets...") all_tickets = fetch_json("/feedback") if not all_tickets: print("Error: Could not retrieve tickets from API. Is the server running?") sys.exit(1) active_tickets = [] for t in all_tickets: status = t.get("status") if status in ("Open", "Answered"): active_tickets.append(t) elif status == "NeedsInfo": thread = t.get("thread", []) if thread and thread[-1].get("role") == "breeder": active_tickets.append(t) print(f"Found {len(active_tickets)} active tickets.") markdown_content = [] markdown_content.append("# Active Tickets Triage Summary") markdown_content.append(f"*Generated automatically on 2026-06-28. Total active: {len(active_tickets)}*\n") markdown_content.append("This file aggregates all active feedback tickets with their full database context and source provenance to allow quick resolution.\n") markdown_content.append("---") for idx, t in enumerate(active_tickets, 1): tid = t.get("id") status = t.get("status") msg = t.get("message") or "No message" category = t.get("category") or "General" entity_name = t.get("entityName") or "None" gerbil_id = t.get("gerbilId") litter_id = t.get("litterId") question = t.get("question") answer = t.get("answer") agent_context = t.get("agentContext") markdown_content.append(f"\n## {idx}. [{status}] Ticket `{tid[:8]}` (ID: `{tid}`)") markdown_content.append(f"- **Breeder's Message**: \"{msg.strip()}\"") markdown_content.append(f"- **Category**: `{category}` | **Target Name**: `{entity_name}`") # 1. Fetch Gerbil context if available if gerbil_id: g_data = fetch_json(f"/gerbils/{gerbil_id}") if g_data: markdown_content.append("\n### Target Gerbil Context:") markdown_content.append(f"- **Name**: `{g_data.get('name')}`") markdown_content.append(f"- **Gender**: `{g_data.get('gender')}` | **Status**: `{g_data.get('status')}`") markdown_content.append(f"- **DOB**: `{g_data.get('dateOfBirth') or 'None'}` | **DOD**: `{g_data.get('dateOfDeath') or 'None'}`") markdown_content.append(f"- **Genotype**: `{g_data.get('genotype') or 'None'}`") markdown_content.append(f"- **Notes**: `{g_data.get('notes') or 'None'}`") markdown_content.append(f"- **Import Source**: `{g_data.get('importSource')}`") markdown_content.append(f"- **ExternalRef**: `{g_data.get('externalRef')}`") # Format Provenance history nicely if present prov_str = g_data.get("provenance") if prov_str: try: prov = json.loads(prov_str) markdown_content.append("- **Provenance History**:") for entry in prov.get("history", []): markdown_content.append(f" - {entry}") except Exception: pass else: markdown_content.append(f"\n### Target Gerbil: `gerbils/{gerbil_id}` (Not found in active DB - Suppressed/Deleted)") # 2. Fetch Litter context if available if litter_id: l_data = fetch_json(f"/litters/{litter_id}") if l_data: markdown_content.append("\n### Target Litter Context:") markdown_content.append(f"- **Litter Name**: `{l_data.get('name')}`") markdown_content.append(f"- **Date**: `{l_data.get('date') or 'None'}` | **Total Born**: `{l_data.get('totalBorn') or 'None'}`") markdown_content.append(f"- **Father ID**: `{l_data.get('fatherId') or 'None'}` | **Mother ID**: `{l_data.get('motherId') or 'None'}`") markdown_content.append(f"- **Notes**: `{l_data.get('notes') or 'None'}`") markdown_content.append(f"- **ExternalRef**: `{l_data.get('externalRef')}`") else: markdown_content.append(f"\n### Target Litter: `litters/{litter_id}` (Not found in active DB - Suppressed/Deleted)") if question: markdown_content.append(f"\n### AI Question Asked:\n> {question.strip()}") if answer: markdown_content.append(f"\n### Breeder's Answer:\n> **{answer.strip()}**") if agent_context: markdown_content.append(f"\n### Internal Agent Context:\n```json\n{agent_context.strip()}\n```") markdown_content.append("\n### Triage Resolution Plan:") # Generate some smart heuristic recommendation based on breeder response if status == "Answered" and answer: ans_lower = answer.lower() if "verstorben" in ans_lower or ("gestorben" in ans_lower) or any(char.isdigit() for char in answer): markdown_content.append("- [ ] **Action**: Update status to `Deceased`, add `dateOfDeath`, and maybe Abnehmer/receiver.") elif "gleiche" in ans_lower or "selbe" in ans_lower: markdown_content.append("- [ ] **Action**: Merge duplicate records by setting `correctDob` or aligning names.") elif "vater" in ans_lower or "mutter" in ans_lower: markdown_content.append("- [ ] **Action**: Set parents (father/mother) or inject litter override.") else: markdown_content.append("- [ ] **Action**: Apply conflict-decision resolution based on response text.") else: markdown_content.append("- [ ] **Action**: Investigate original message and check database records for appropriate override.") markdown_content.append("\n---") os.makedirs(os.path.dirname(output_file), exist_ok=True) with open(output_file, "w", encoding="utf-8") as f: f.write("\n".join(markdown_content) + "\n") print(f"Triage report written to {output_file}") if __name__ == "__main__": main()