mirror of
https://github.com/cft0808/edict.git
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5b46f67603
Features: - 9 specialized agents (中书省·门下省·尚书省 + 六部) - Real-time dashboard with 6 tabs (Overview/Kanban/History/Timeline/Models/Skills) - Model configuration with live-apply via local API server - One-click install script - Data sync pipeline (15s refresh loop) - Full audit trail via flow_log
96 lines
4.2 KiB
Python
96 lines
4.2 KiB
Python
#!/usr/bin/env python3
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"""
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同步 openclaw.json 中的 agent 配置 → data/agent_config.json
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支持自动发现 agent workspace 下的 Skills 目录
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"""
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import json, pathlib, datetime
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# Auto-detect project root (parent of scripts/)
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BASE = pathlib.Path(__file__).parent.parent
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DATA = BASE / 'data'
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OPENCLAW_CFG = pathlib.Path.home() / '.openclaw' / 'openclaw.json'
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ID_LABEL = {
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'zhongshu': {'label': '中书省', 'role': '中书令', 'duty': '起草任务令与优先级', 'emoji': '📜'},
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'menxia': {'label': '门下省', 'role': '侍中', 'duty': '审议与退回机制', 'emoji': '🔍'},
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'shangshu': {'label': '尚书省', 'role': '尚书令', 'duty': '派单与升级裁决', 'emoji': '📮'},
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'libu': {'label': '礼部', 'role': '礼部尚书', 'duty': '文档/汇报/规范', 'emoji': '📝'},
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'hubu': {'label': '户部', 'role': '户部尚书', 'duty': '资源/预算/成本', 'emoji': '💰'},
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'bingbu': {'label': '兵部', 'role': '兵部尚书', 'duty': '应急与巡检', 'emoji': '⚔️'},
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'xingbu': {'label': '刑部', 'role': '刑部尚书', 'duty': '合规/审计/红线', 'emoji': '⚖️'},
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'gongbu': {'label': '工部', 'role': '工部尚书', 'duty': '工程交付与自动化', 'emoji': '🔧'},
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}
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KNOWN_MODELS = [
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{'id': 'anthropic/claude-sonnet-4-6', 'label': 'Claude Sonnet 4.6', 'provider': 'Anthropic'},
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{'id': 'anthropic/claude-opus-4-5', 'label': 'Claude Opus 4.5', 'provider': 'Anthropic'},
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{'id': 'anthropic/claude-haiku-3-5', 'label': 'Claude Haiku 3.5', 'provider': 'Anthropic'},
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{'id': 'openai/gpt-4o', 'label': 'GPT-4o', 'provider': 'OpenAI'},
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{'id': 'openai/gpt-4o-mini', 'label': 'GPT-4o Mini', 'provider': 'OpenAI'},
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{'id': 'openai-codex/gpt-5.3-codex', 'label': 'GPT-5.3 Codex', 'provider': 'OpenAI Codex'},
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{'id': 'google/gemini-2.0-flash', 'label': 'Gemini 2.0 Flash', 'provider': 'Google'},
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{'id': 'google/gemini-2.5-pro', 'label': 'Gemini 2.5 Pro', 'provider': 'Google'},
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]
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def get_skills(workspace: str):
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skills_dir = pathlib.Path(workspace) / 'skills'
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skills = []
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if skills_dir.exists():
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for d in sorted(skills_dir.iterdir()):
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if d.is_dir():
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md = d / 'SKILL.md'
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desc = ''
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if md.exists():
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for line in md.read_text(encoding='utf-8', errors='ignore').splitlines():
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line = line.strip()
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if line and not line.startswith('#'):
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desc = line[:100]
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break
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skills.append({'name': d.name, 'path': str(md), 'exists': md.exists(), 'description': desc})
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return skills
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def main():
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cfg = {}
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try:
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cfg = json.loads(OPENCLAW_CFG.read_text())
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except Exception as e:
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print(f'[WARN] cannot read openclaw.json: {e}')
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return
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agents_cfg = cfg.get('agents', {})
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default_model = agents_cfg.get('defaults', {}).get('model', {}).get('primary', 'unknown')
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agents_list = agents_cfg.get('list', [])
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result = []
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for ag in agents_list:
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ag_id = ag.get('id', '')
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if ag_id not in ID_LABEL:
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continue
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meta = ID_LABEL[ag_id]
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workspace = ag.get('workspace', str(pathlib.Path.home() / f'.openclaw/workspace-{ag_id}'))
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result.append({
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'id': ag_id,
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'label': meta['label'], 'role': meta['role'], 'duty': meta['duty'], 'emoji': meta['emoji'],
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'model': ag.get('model', default_model),
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'defaultModel': default_model,
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'workspace': workspace,
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'skills': get_skills(workspace),
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'allowAgents': ag.get('subagents', {}).get('allowAgents', []),
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})
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payload = {
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'generatedAt': datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S'),
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'defaultModel': default_model,
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'knownModels': KNOWN_MODELS,
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'agents': result,
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}
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DATA.mkdir(exist_ok=True)
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(DATA / 'agent_config.json').write_text(json.dumps(payload, ensure_ascii=False, indent=2))
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print(f'[sync_agent_config] {len(result)} agents synced')
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if __name__ == '__main__':
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main()
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