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
53 lines
1.6 KiB
Python
53 lines
1.6 KiB
Python
"""members 命令 — 查询群聊成员列表"""
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import click
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from ..core.contacts import get_contact_names, resolve_username, get_group_members
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from ..output.formatter import output
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@click.command("members")
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@click.argument("group_name")
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@click.option("--format", "fmt", default="json", type=click.Choice(["json", "text"]), help="输出格式")
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@click.pass_context
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def members(ctx, group_name, fmt):
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"""查询群聊成员列表
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\b
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示例:
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wechat-cli members "AI交流群"
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wechat-cli members "群名" --format text
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"""
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app = ctx.obj
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username = resolve_username(group_name, app.cache, app.decrypted_dir)
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if not username:
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click.echo(f"找不到: {group_name}", err=True)
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ctx.exit(1)
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if '@chatroom' not in username:
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click.echo(f"{group_name} 不是一个群聊", err=True)
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ctx.exit(1)
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names = get_contact_names(app.cache, app.decrypted_dir)
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display_name = names.get(username, username)
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result = get_group_members(username, app.cache, app.decrypted_dir)
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if fmt == 'json':
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output({
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'group': display_name,
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'username': username,
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'member_count': len(result['members']),
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'owner': result['owner'],
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'members': result['members'],
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}, 'json')
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else:
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lines = [f"{m['display_name']} ({m['username']})"]
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if m['remark']:
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lines[-1] += f" 备注: {m['remark']}"
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header = f"{display_name} 的群成员（共 {len(result['members'])} 人）"
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if result['owner']:
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header += f"，群主: {result['owner']}"
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output(header + ":\n\n" + "\n".join(lines), 'text')
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