import requests import urllib3 from datetime import datetime, timedelta urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning) # Authenticate base_url = 'https://192.168.130.161/taiga/api/v1' auth_url = f'{base_url}/auth' auth = requests.post(auth_url, json={'type': 'normal', 'username': 'FrancoisLange', 'password': 'BTSai123'}, verify=False).json() headers = {'Authorization': f'Bearer {auth["auth_token"]}', 'Content-Type': 'application/json'} proj_id = 21 print("Fetching Sprints...") milestones = requests.get(f'{base_url}/milestones?project={proj_id}', headers=headers, verify=False).json() sprint8 = next((m for m in milestones if m['name'] == 'Sprint 8'), None) if not sprint8: print("Sprint 8 not found, creating it...") payload = { "project": proj_id, "name": "Sprint 8", "estimated_start": datetime.now().strftime('%Y-%m-%d'), "estimated_finish": (datetime.now() + timedelta(days=7)).strftime('%Y-%m-%d') } sprint8 = requests.post(f'{base_url}/milestones', json=payload, headers=headers, verify=False).json() sprint_id = sprint8['id'] print(f"Sprint 8 ID: {sprint_id}") stories = [ {"subject": "Clinical Explorer Verification Testing", "description": "Generate comprehensive test cases for a Pregnant, Diabetic, and Kidney patient profile across AI Chat, Search, and Meal Planning."}, {"subject": "Zabbix Application Monitoring Checks", "description": "Verify Zabbix installation and configure it to monitor both the server and application successfully."}, {"subject": "Zabbix Email Integration", "description": "Configure Zabbix default mail media types to direct alerts to the administrator email."}, {"subject": "Zabbix Live Alert Testing", "description": "Simulate and trigger an application alert and a server alert to confirm detection by Zabbix."}, {"subject": "Server Backup Procedures", "description": "Generate and document a formalized backup procedure for the MySQL databases and Docker infrastructure."}, {"subject": "WSL Deployment Playbook", "description": "Create a procedural runbook for deploying the entire Local Food AI project into a new fresh WSL instance."}, {"subject": "Agile Scrum Rituals Wiki", "description": "Document the Agile methodologies used in the project including Daily scrums, Sprint Reviews, Retrospectives, and Planning in the Wiki."} ] for s in stories: payload = { "project": proj_id, "subject": s["subject"], "description": s["description"], "milestone": sprint_id } res = requests.post(f'{base_url}/userstories', json=payload, headers=headers, verify=False) if res.status_code == 201: us = res.json() print(f"Created US: {us['subject']}") # Create a task for it t_payload = { "project": proj_id, "subject": f"Execute: {us['subject']}", "user_story": us['id'], "milestone": sprint_id } requests.post(f'{base_url}/tasks', json=t_payload, headers=headers, verify=False) else: print(f"Failed US: {res.text}") print("Sprint 8 populated!")