e64006bafe
A CLI tool to query local WeChat data with 11 commands: sessions, history, search, contacts, members, stats, export, favorites, unread, new-messages, and init. Features: - Self-contained init with key extraction (no external deps) - On-the-fly SQLCipher decryption with caching - JSON output by default for LLM/AI tool integration - Message type filtering and chat statistics - Markdown/txt export for conversations - Cross-platform: macOS, Windows, Linux
30 lines
709 B
Python
30 lines
709 B
Python
"""输出格式化 — JSON (大模型友好) / Text (人类可读)"""
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import json
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import sys
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def output_json(data, file=None):
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file = file or sys.stdout
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json.dump(data, file, ensure_ascii=False, indent=2)
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file.write('\n')
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def output_text(text, file=None):
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file = file or sys.stdout
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file.write(text)
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if not text.endswith('\n'):
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file.write('\n')
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def output(data, fmt='json', file=None):
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if fmt == 'json':
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output_json(data, file)
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else:
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if isinstance(data, str):
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output_text(data, file)
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elif isinstance(data, dict) and 'text' in data:
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output_text(data['text'], file)
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else:
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output_json(data, file)
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