mirror of
https://github.com/google-gemini/gemini-cli.git
synced 2026-05-14 22:02:59 -07:00
Coco Sheng
51 lines
1.5 KiB
Python
51 lines
1.5 KiB
Python
import json
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import csv
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from datetime import datetime
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ISSUES_FILE = 'data/issues.json'
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METADATA_FILE = 'data/metadata.json'
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CSV_FILE = 'data/issues.csv'
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with open(ISSUES_FILE, 'r') as f:
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issues = json.load(f)
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with open(METADATA_FILE, 'r') as f:
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metadata_list = json.load(f)
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# Create lookup map for metadata
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metadata_map = {m['number']: m for m in metadata_list}
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today = "2026-04-21"
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with open(CSV_FILE, 'w', newline='', encoding='utf-8') as f:
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writer = csv.writer(f, delimiter='\t') # Use tab as delimiter for easier copy-paste into Sheets
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# Header
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writer.writerow([
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'Issue ID', 'Title', 'Status', 'Assignee', 'Labels',
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'Last Sync', 'Link', 'analysis', 'effort_level',
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'reasoning', 'recommended_implementation'
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])
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for issue in issues:
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num = issue.get('number')
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meta = metadata_map.get(num, {})
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assignee = ", ".join([a['login'] for a in meta.get('assignees', [])])
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labels = ", ".join([l['name'] for l in meta.get('labels', [])])
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writer.writerow([
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num,
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issue.get('title', ''),
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meta.get('state', 'open'),
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assignee,
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labels,
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today,
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issue.get('url', ''),
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issue.get('analysis', ''),
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issue.get('effort_level', ''),
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issue.get('reasoning', ''),
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issue.get('recommended_implementation', '')
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])
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print(f"Successfully generated {CSV_FILE}")
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