176 lines
8.9 KiB
Plaintext
176 lines
8.9 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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import os
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import re
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import zipfile
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from ahserver.filestorage import FileStorage
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def _extract_text(path, name):
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"""提取文件文本内容（docx/txt/md等），返回文本或空字符串。二进制/无法解析返回空。"""
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ext = os.path.splitext(name)[1].lower()
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try:
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if ext in ('.txt', '.md', '.json', '.csv', '.py', '.log', '.yaml', '.yml', '.xml', '.html', '.ini'):
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with open(path, 'r', encoding='utf-8', errors='ignore') as f:
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return f.read()[:15000]
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if ext == '.docx':
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with zipfile.ZipFile(path) as z:
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xml = z.read('word/document.xml').decode('utf-8', errors='ignore')
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texts = re.findall(r'<w:t[^>]*>(.*?)</w:t>', xml)
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return '\n'.join(texts)[:15000]
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except Exception:
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pass
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return ''
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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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# 从 params 中提取 prompt
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prompt = (params_kw or {}).get('prompt', '') or msg
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prompt = prompt.strip()
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# 处理用户上传的文件（multipart file 字段 → web_path）：
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# 1. 抽取文本作为中性上下文注入 prompt
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# 2. 收集 (绝对路径, 文件名)，稍后复制进项目根目录，让会话 agent 的 read_file 能找到
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file_ctx = ''
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_uploads = [] # [(src_abs, filename)]
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_fval = (params_kw or {}).get('file')
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_fpaths = _fval if isinstance(_fval, list) else ([_fval] if _fval else [])
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for _fp in _fpaths:
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try:
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_abs = FileStorage().realPath(_fp)
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_name = os.path.basename(_abs)
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_uploads.append((_abs, _name))
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_txt = _extract_text(_abs, _name)
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if _txt:
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file_ctx += f"【文件 {_name} 内容】\n{_txt}\n\n"
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else:
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file_ctx += f"【文件 {_name}】二进制文件，无法直接读取文本。\n\n"
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except Exception:
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pass
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# 停止/暂停指令不再用硬编码关键字短路——交给 LLM 意图识别（agent system prompt 已明确：
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# 用户指令「暂停/停止推进」时调 pause_project）。硬编码子串匹配会把「为什么任务取消了」这类
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# 分析问题误判为停止指令（2026-08 实测），故删除。
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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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session_id = (params_kw or {}).get('session_id', '')
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ctx = {'pid': '', 'name': '', 'pipeline_id': ''}
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_saved_files = []
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_pdir = ''
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async with DBPools().sqlorContext(dbname) as sor:
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ctx['pid'], _ = await get_session_context(sor, uid, session_id)
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if ctx['pid']:
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proj_recs = await sor.sqlExe(
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"SELECT name, pipeline_id 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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ctx['pipeline_id'] = getattr(proj_recs[0], 'pipeline_id', '') or ''
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# ── 上传文件落盘到项目根目录（会话 agent 的 read_file 以项目目录为根）──
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if _uploads:
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_pdir, _ = await get_project_dir_by_id(sor, ctx['pid'])
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_saved_files = copy_uploads_to_project(_pdir, _uploads)
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if file_ctx or _saved_files:
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_loc = ''
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if _saved_files:
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_loc = "文件已保存到项目根目录（" + _pdir + "），可用 read_file 直接读取：\n"
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_loc += "\n".join(" - " + n for n, _ in _saved_files) + "\n\n"
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prompt = "用户本次上传了以下文件：\n" + _loc + file_ctx + "\n用户指令：" + prompt
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# ── 走 gateway 统一入口（Web AgentIO 通道）──
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# model_id：前端模型下拉选中的模型 → gateway 校验后持久化到项目（项目模型一经设置
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# 即生效，直到用户再次选择），空 = 沿用项目已设模型。
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model_id = (params_kw or {}).get('model_id', '') or ''
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from pipeline_service.gateway import get_gateway
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gateway = get_gateway()
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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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yield json.dumps({"reasoning_content": "项目: " + ctx['name'] + "\n"}, ensure_ascii=False) + '\n'
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# 运行 gateway（输出 content 流式格式，供前端 AgentIO→AgentOut 渲染）。
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# pipeline_id 声明本产线：激活会话项目跨产线隔离——残留的投标/商机项目
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# 不会劫持开发产线驾驶舱（否则全局兜底指向跨产线项目时整会话变投标大脑）。
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async for chunk in gateway.run_message("web", uid, prompt, model_id=model_id, session_id=session_id, pipeline_id='sdlc_general'):
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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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yield json.dumps({"reasoning_content": data.get('message', '') + "\n"}, ensure_ascii=False) + '\n'
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elif t == 'auto_tool':
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yield json.dumps({"reasoning_content": "🔄 " + data.get('message', '') + "\n"}, ensure_ascii=False) + '\n'
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elif t == 'debug':
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continue # skip debug in UI
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elif t == 'tool_call':
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tool = data.get('tool', '')
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params = json.dumps(data.get('params', {}), ensure_ascii=False)
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yield json.dumps({"content": "**🔧 调用: " + tool + "**\n```\n" + params + "\n```\n\n"}, ensure_ascii=False) + '\n'
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elif t == 'tool_result':
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result = data.get('result', '')
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yield json.dumps({"content": result + "\n\n"}, ensure_ascii=False) + '\n'
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elif t == 'reply':
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msg = data.get('message', '')
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if isinstance(msg, dict) and msg.get('widgettype'):
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# widget JSON：顶层透传，前端 AgentOut 检测 widgettype 渲染（如 /task 的 PopupWindow）
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yield json.dumps(msg, ensure_ascii=False) + '\n'
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else:
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yield json.dumps({"content": msg}, ensure_ascii=False) + '\n'
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elif t == 'ask_user':
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yield json.dumps({"content": "❓ " + data.get('message', '')}, ensure_ascii=False) + '\n'
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elif t == 'error':
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yield json.dumps({"error": data.get('message', '')}, ensure_ascii=False) + '\n'
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else:
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yield json.dumps({"content": chunk}, ensure_ascii=False) + '\n'
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# 应答输出结束后追加一行「## 完毕 ##」：Text 控件 otext+i18n，前端按当前语言翻译
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# （词条见 pipeline-app/i18n/*/i18n.json；msg.txt 以 # 开头的键会被当注释，故只放 i18n.json）
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yield json.dumps({"widgettype": "Text", "options": {"otext": "## 完毕 ##", "text": "## 完毕 ##", "i18n": True, "halign": "left", "css": "agent-done", "color": "#94a3b8", "marginBottom": "6px"}}, ensure_ascii=False) + '\n'
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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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