123 lines
5.3 KiB
Plaintext
123 lines
5.3 KiB
Plaintext
# cockpit_chat_v2.dspy - SDLC Agent v2 (AgentExecutor 驱动)
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# 替代 cockpit_chat.dspy，使用 pipeline-core/pipeline-service v2 架构
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import aiohttp
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action = (params_kw or {}).get('action', 'send_message')
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msg = ''
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if action != 'send_message':
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p = params_kw or {}
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msg = (p.get('message_text') or '').strip()
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if not msg:
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inner = p.get('params', {})
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if isinstance(inner, dict):
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msg = (inner.get('prompt') or inner.get('message_text') or '').strip()
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if msg:
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action = 'send_message'
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dbname = get_module_dbname('pipeline-sdlc')
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# ── Widget helpers ──
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def _w_text(t, css='agent-text'):
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return {"widgettype":"Text","options":{"text":t,"halign":"left","css":css}}
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def _w_progress(t):
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return {"widgettype":"Text","options":{"text":t,"halign":"left","style":{"color":"#f0a040","fontStyle":"italic"}}}
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def _w_md(t):
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return {"widgettype":"MdWidget","options":{"text":t}}
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def _w_card(title, body, kind="info"):
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colors = {"success":"#4caf50","error":"#f44336","info":"#2196f3","warn":"#ff9800"}
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color = colors.get(kind, colors["info"])
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title_w = {"widgettype":"Text","options":{"text":title,"halign":"left","style":{"fontWeight":"bold","color":color,"marginBottom":"4px"}}}
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body_w = body if isinstance(body, dict) else _w_text(str(body))
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return {"widgettype":"VBox","subwidgets":[title_w, body_w],
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"options":{"css":"agent-card","style":{"borderLeft":"3px solid "+color,"paddingLeft":"8px","marginBottom":"8px"}}}
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if action == 'send_message':
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prompt = msg
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# ── 意图识别：停止类指令 ──
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stop_keywords = ['停止', '取消', '停下', '终止', '停', 'stop', 'cancel', 'abort']
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if any(kw == prompt.strip().lower() or kw in prompt.strip().lower() for kw in stop_keywords):
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async def _stop_stream():
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yield json.dumps(_w_md("已停止当前任务。"), ensure_ascii=False) + '\n'
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return await stream_response(request, _stop_stream, 'text/plain; charset=utf-8')
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uid = await get_user()
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if not uid:
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uid = 'user-01' # 测试兼容
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# ── 加载上下文 ──
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ctx = {'pid': '', 'name': ''}
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async with DBPools().sqlorContext(dbname) as sor:
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recs = await sor.sqlExe(
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"SELECT current_project_id FROM pipeline_agent_settings WHERE user_id=${u}$",
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{"u": uid})
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if recs:
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ctx['pid'] = getattr(recs[0], 'current_project_id', '') or ''
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if ctx['pid']:
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proj_recs = await sor.sqlExe(
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"SELECT name FROM sd_projects WHERE id=${p}$", {"p": ctx['pid']})
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if proj_recs:
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ctx['name'] = getattr(proj_recs[0], 'name', '')
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# ── 加载 v2 引擎 ──
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from pipeline_core.agent_config import load_agent_config
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from pipeline_service.agent_loop_v2 import AgentExecutor
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config = await load_agent_config(project_id=ctx['pid'])
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executor = AgentExecutor(
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config=config,
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project_id=ctx['pid'],
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user_id=uid,
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)
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async def agent_stream():
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# 项目上下文
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if ctx['name']:
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d = json.dumps(_w_progress("项目: " + ctx['name']), ensure_ascii=False) + '\n'
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yield d
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# 运行 AgentExecutor
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async for chunk in executor.run(prompt):
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data = json.loads(chunk)
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t = data.get('type', '')
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if t == 'progress':
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d = json.dumps(_w_progress(data.get('message', '')), ensure_ascii=False) + '\n'
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elif t == 'auto_tool':
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d = json.dumps(_w_progress("🔄 " + data.get('message', '')), ensure_ascii=False) + '\n'
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elif t == 'debug':
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d = '' # skip debug in UI
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continue
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elif t == 'tool_call':
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tool = data.get('tool', '')
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d = json.dumps(_w_card("调用: " + tool, "参数: " + json.dumps(data.get('params', {}), ensure_ascii=False), "info"), ensure_ascii=False) + '\n'
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elif t == 'tool_result':
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tool = data.get('tool', '')
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result = data.get('result', '')
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good = not result.startswith('ERROR') and not result.startswith('未知工具')
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d = json.dumps(_w_card(tool + " 结果", result[:600], "success" if good else "error"), ensure_ascii=False) + '\n'
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elif t == 'reply':
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d = json.dumps(_w_md(data.get('message', '')), ensure_ascii=False) + '\n'
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elif t == 'error':
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d = json.dumps(_w_card("错误", data.get('message', ''), "error"), ensure_ascii=False) + '\n'
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else:
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d = chunk # 透传
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yield d
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return await stream_response(request, agent_stream, 'text/plain; charset=utf-8')
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elif action == 'list_messages':
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uid = await get_user()
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if not uid:
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return json.dumps({"error":"请先登录"}, ensure_ascii=False)
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async with DBPools().sqlorContext(dbname) as sor:
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ms = await sor.sqlExe(
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"SELECT role,content,created_at FROM pipeline_conversations ORDER BY created_at ASC LIMIT 100", {})
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result = [{"role":getattr(m,'role',''),"content":getattr(m,'content','')} for m in (ms or [])]
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return json.dumps({"success":True,"messages":result}, ensure_ascii=False, default=str)
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else:
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return json.dumps({"error":"Unknown: " + str(action)}, ensure_ascii=False)
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