feat: consolidate backlog analysis tools into scripts/backlog-analysis

scripts/backlog-analysis/generate_csv.py

@@ -0,0 +1,50 @@
+import json
+import csv
+from datetime import datetime
+
+ISSUES_FILE = 'data/issues.json'
+METADATA_FILE = 'data/metadata.json'
+CSV_FILE = 'data/issues.csv'
+
+with open(ISSUES_FILE, 'r') as f:
+    issues = json.load(f)
+
+with open(METADATA_FILE, 'r') as f:
+    metadata_list = json.load(f)
+
+# Create lookup map for metadata
+metadata_map = {m['number']: m for m in metadata_list}
+
+today = "2026-04-21"
+
+with open(CSV_FILE, 'w', newline='', encoding='utf-8') as f:
+    writer = csv.writer(f, delimiter='\t') # Use tab as delimiter for easier copy-paste into Sheets
+    # Header
+    writer.writerow([
+        'Issue ID', 'Title', 'Status', 'Assignee', 'Labels', 
+        'Last Sync', 'Link', 'analysis', 'effort_level', 
+        'reasoning', 'recommended_implementation'
+    ])
+    
+    for issue in issues:
+        num = issue.get('number')
+        meta = metadata_map.get(num, {})
+        
+        assignee = ", ".join([a['login'] for a in meta.get('assignees', [])])
+        labels = ", ".join([l['name'] for l in meta.get('labels', [])])
+        
+        writer.writerow([
+            num,
+            issue.get('title', ''),
+            meta.get('state', 'open'),
+            assignee,
+            labels,
+            today,
+            issue.get('url', ''),
+            issue.get('analysis', ''),
+            issue.get('effort_level', ''),
+            issue.get('reasoning', ''),
+            issue.get('recommended_implementation', '')
+        ])
+
+print(f"Successfully generated {CSV_FILE}")