"""
Purpose: Exports analyzed JSON issue data into a human-readable CSV format.
This is typically the final step in the workflow, making the output suitable for sharing, spreadsheet import, or manual review.
"""
import json
import csv
from datetime import datetime

BUGS_FILE = 'data/bugs.json'
METADATA_FILE = 'data/metadata_bugs.json'
CSV_FILE = 'data/bugs.csv'

with open(BUGS_FILE, 'r') as f:
    bugs = json.load(f)

with open(METADATA_FILE, 'r') as f:
    metadata_list = json.load(f)

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')
    writer.writerow([
        'Issue ID', 'Title', 'Status', 'Assignee', 'Labels', 
        'Last Sync', 'Link', 'analysis', 'effort_level', 
        'reasoning', 'recommended_implementation'
    ])
    
    for bug in bugs:
        num = bug.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,
            bug.get('title', ''),
            meta.get('state', 'open'),
            assignee,
            labels,
            today,
            bug.get('url', ''),
            bug.get('analysis', ''),
            bug.get('effort_level', ''),
            bug.get('reasoning', ''),
            bug.get('recommended_implementation', '')
        ])

print(f"Successfully generated {CSV_FILE}")