ruslan
53f1bb2e71
- Move files from remote_copy/ to root (proper project structure) - Add Docker setup: Dockerfile, docker-compose.yml with volume mounts - Auto-reply: fix skip logic (only text field, not pros/cons) - Auto-reply: fix _paginate to handle cooldown gracefully mid-pagination - Auto-reply: fix fetch timestamp not saved on API error (infinite retry loop) - Auto-reply: reduce EMPTY_REMAINING_FALLBACK from 600s to 150s default - UI: add auto-reply queue display with article number (nm_id) - UI: replace button with CSS tumbler toggle for auto-reply - UI: add review_created_at and review_id columns to journal - UI: add skipped/sent/error status colors to journal Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
61 lines
2.0 KiB
Python
61 lines
2.0 KiB
Python
import json
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from pathlib import Path
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import requests
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base = Path('/app')
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def read_env(path: Path):
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data = {}
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for line in path.read_text(encoding='utf-8').splitlines():
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line = line.strip()
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if not line or line.startswith('#') or '=' not in line:
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continue
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k, v = line.split('=', 1)
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data[k.strip()] = v.strip()
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return data
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env = read_env(base / '.env')
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token = (env.get('WB_API_TOKEN') or '').strip()
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if not token:
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raise SystemExit('WB_API_TOKEN not found')
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url = 'https://feedbacks-api.wildberries.ru/api/v1/feedbacks'
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headers = {'Authorization': f'Bearer {token}'}
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params = {'isAnswered': 'true', 'skip': 0, 'take': 100}
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r = requests.get(url, headers=headers, params=params, timeout=20)
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r.raise_for_status()
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chunk = (r.json().get('data') or {}).get('feedbacks') or []
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rows = []
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for item in chunk:
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rating = item.get('productValuation') or 0
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if rating not in (4, 5):
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continue
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ans = item.get('answer')
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if isinstance(ans, dict):
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ans_text = (ans.get('text') or '').strip()
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else:
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ans_text = (ans or '').strip()
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if not ans_text:
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continue
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rows.append({
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'createdDate': item.get('createdDate') or '',
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'id': item.get('id') or '',
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'rating': rating,
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'productName': ((item.get('productDetails') or {}).get('productName') or ''),
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'userName': item.get('userName') or '',
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'answer': ans_text,
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})
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rows.sort(key=lambda x: x['createdDate'], reverse=True)
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out_json = base / 'last_100_answers_4_5.json'
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out_txt = base / 'last_100_answers_4_5.txt'
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out_json.write_text(json.dumps(rows, ensure_ascii=False, indent=2), encoding='utf-8')
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lines = []
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for i, row in enumerate(rows, 1):
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lines.append(f"{i}. {row['createdDate']} | {row['rating']}★ | {row['productName']} | {row['userName']} | {row['answer']}")
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out_txt.write_text('\n'.join(lines), encoding='utf-8')
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print(f'exported={len(rows)}')
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print('/app/last_100_answers_4_5.json')
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print('/app/last_100_answers_4_5.txt')
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