#!/usr/bin/env python3
"""
Rover-JIRA Integration Demo
Shows how to connect group members to their JIRA project involvement
"""
def demo_integration():
"""Demonstrate the integration with real data we retrieved."""
print("🚀 ROVER-JIRA INTEGRATION DEMONSTRATION")
print("=" * 50)
# Real data from rover group
group_data = {
"name": "sp-ai-support-chatbot-admins",
"description": "SP AI Support Chatbot workgroup admins",
"members": [
"jcasey", "mboy", "ggeorgie", "jmicanek", "wrampazz",
"falrayes", "mfoganho", "alvalent", "rrajashe", "jpolonip", "dhshah"
]
}
# Real JIRA data for dhshah
dhshah_jira_data = {
"projects": ["CCITDART", "QEMETRICS", "SCTQE", "CNV"],
"issues": [
{
"key": "CCITDART-1096",
"project": "CCITDART",
"summary": "TFA-C/R URL switch to new STC TFA backend",
"role": "assignee/lead"
},
{
"key": "QEMETRICS-2028",
"project": "QEMETRICS",
"summary": "Improve TFA apps availability",
"role": "technical lead"
},
{
"key": "SCTQE-4889",
"project": "SCTQE",
"summary": "Update the TFA urls in rhsm-integration pipelines",
"role": "communication lead"
},
{
"key": "CNV-37055",
"project": "CNV",
"summary": "Fix old TFA url in tfaconn file for Report Portal",
"role": "technical consultant"
}
]
}
print(f"🏢 Group: {group_data['name']}")
print(f"👥 Total Members: {len(group_data['members'])}")
print(f"📝 Description: {group_data['description']}")
print(f"\n📊 SAMPLE ANALYSIS - Member: dhshah")
print("-" * 40)
print(f"🎫 Total Issues Found: {len(dhshah_jira_data['issues'])}")
print(f"📂 Projects Involved: {', '.join(dhshah_jira_data['projects'])}")
print(f"\n📋 DETAILED ISSUES:")
for issue in dhshah_jira_data['issues']:
print(f" • {issue['key']} ({issue['project']})")
print(f" Summary: {issue['summary']}")
print(f" Role: {issue['role']}")
print()
print(f"🎯 KEY INSIGHTS:")
print(f" • dhshah is heavily involved in TFA (Test Failure Analysis) work")
print(f" • Active across Data Science, QE, and Infrastructure projects")
print(f" • Technical lead for TFA service deployments and integrations")
print(f" • Coordinates between multiple teams for TFA URL migrations")
print(f"\n💡 INTEGRATION VALUE:")
print(f" ✅ Quickly identify subject matter experts")
print(f" ✅ Understand cross-project dependencies")
print(f" ✅ Map organizational knowledge and expertise")
print(f" ✅ Find the right person for specific technical areas")
def usage_examples():
"""Show how to use this integration in practice."""
print(f"\n🛠️ HOW TO USE THIS INTEGRATION:")
print("=" * 40)
print(f"1. 📋 Find JIRA experts in a group:")
print(f" rover_group('sp-ai-support-chatbot') → get members")
print(f" For each member → search_jira_issues(member_name)")
print(f" Result: Map of who works on what projects")
print(f"\n2. 🔍 Find the right person for a project:")
print(f" search_jira_issues(project='QEMETRICS') → get contributors")
print(f" Cross-reference with rover groups → find team contacts")
print(f" Result: Direct contact for project questions")
print(f"\n3. 📈 Analyze team workload distribution:")
print(f" rover_group('team-name') → get all members")
print(f" Aggregate JIRA issues per member → workload analysis")
print(f" Result: Balanced team assignment insights")
print(f"\n4. 🎯 Skills and expertise mapping:")
print(f" rover_group('sp-ai-support-chatbot-admins') → get admins")
print(f" Map each admin to their JIRA project involvement")
print(f" Result: Skills matrix for the team")
if __name__ == "__main__":
demo_integration()
usage_examples()
print(f"\n🚀 Ready to implement? Use the MCP tools:")
print(f" • mcp_rover_rover_group(group_name)")
print(f" • mcp_jira-mcp-snowflake_list_jira_issues(search_text=member_name)")
print(f"\n Both tools are working and available in your Cursor environment!")
