pipeline_core/wwwroot/api/agent_chat.dspy

# agent_chat.dspy - 通用会话 Agent（pipeline-core，产线无关）
# 使用 AgentExecutor v2（gateway 统一入口），是 Web 端复刻 Hermes CLI 的通用交互能力
# 各产线/模块可在其上叠加专属能力，本 dspy 不依赖任何产线专属表

import json
import os
import re
import zipfile
from ahserver.filestorage import FileStorage


def _extract_text(path, name):
    """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。"""
    ext = os.path.splitext(name)[1].lower()
    try:
        if ext in ('.txt', '.md', '.json', '.csv', '.py', '.log', '.yaml', '.yml', '.xml', '.html', '.ini'):
            with open(path, 'r', encoding='utf-8', errors='ignore') as f:
                return f.read()[:15000]
        if ext == '.docx':
            with zipfile.ZipFile(path) as z:
                xml = z.read('word/document.xml').decode('utf-8', errors='ignore')
                texts = re.findall(r'<w:t[^>]*>(.*?)</w:t>', xml)
                return '\n'.join(texts)[:15000]
    except Exception:
        pass
    return ''


action = (params_kw or {}).get('action', 'send_message')
msg = ''
if action != 'send_message':
    p = params_kw or {}
    msg = (p.get('message_text') or '').strip()
    if not msg:
        inner = p.get('params', {})
        if isinstance(inner, dict):
            msg = (inner.get('prompt') or inner.get('message_text') or '').strip()
    if msg:
        action = 'send_message'

dbname = get_module_dbname('pipeline_core')

if action == 'send_message':
    # 从 params 中提取 prompt
    prompt = (params_kw or {}).get('prompt', '') or msg
    prompt = prompt.strip()

    # 处理用户上传的文件（multipart file 字段 → web_path），提取文本作为中性上下文注入 prompt
    file_ctx = ''
    _fval = (params_kw or {}).get('file')
    _fpaths = _fval if isinstance(_fval, list) else ([_fval] if _fval else [])
    for _fp in _fpaths:
        try:
            _abs = FileStorage().realPath(_fp)
            _name = os.path.basename(_abs)
            _txt = _extract_text(_abs, _name)
            if _txt:
                file_ctx += f"【文件 {_name} 内容】\n{_txt}\n\n"
            else:
                file_ctx += f"【文件 {_name}】二进制文件，无法直接读取文本。\n\n"
        except Exception:
            pass
    if file_ctx:
        prompt = "用户本次上传了以下文件：\n\n" + file_ctx + "\n用户指令：" + prompt

    # ── 意图识别：停止类指令 ──
    stop_keywords = ['停止', '取消', '停下', '终止', '停', 'stop', 'cancel', 'abort']
    if any(kw == prompt.strip().lower() or kw in prompt.strip().lower() for kw in stop_keywords):
        async def _stop_stream():
            yield json.dumps({"content": "已停止当前任务。"}, ensure_ascii=False) + '\n'
        return await stream_response(request, _stop_stream, 'text/plain; charset=utf-8')

    uid = await get_user()
    if not uid:
        uid = 'user-01'  # 测试兼容

    # ── 会话内唯一标识（web 多 tab 独立会话）：前端每个 tab 传独立 session_id ──
    session_id = (params_kw or {}).get('session_id', '') or ''
    # ── 产线默认能力（入口指定，如 bidding_general）：无当前项目时装载该产线能力 ──
    pipeline_id = (params_kw or {}).get('pipeline_id', '') or ''

    # ── 走 gateway 统一入口（Web AgentIO 通道）──
    # 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
    # 即生效，直到用户再次选择），空 = 沿用项目已设模型。
    model_id = (params_kw or {}).get('model_id', '') or ''
    from pipeline_service.gateway import get_gateway
    gateway = get_gateway()

    async def agent_stream():
        _base = entire_url("/")
        async for chunk in gateway.run_message("web", uid, prompt, base_url=_base, session_id=session_id, pipeline_id=pipeline_id, model_id=model_id):
            data = json.loads(chunk)
            t = data.get('type', '')

            if t == 'progress':
                yield json.dumps({"reasoning_content": data.get('message', '') + "\n"}, ensure_ascii=False) + '\n'
            elif t == 'auto_tool':
                yield json.dumps({"reasoning_content": "🔄 " + data.get('message', '') + "\n"}, ensure_ascii=False) + '\n'
            elif t == 'debug':
                continue  # skip debug in UI
            elif t == 'tool_call':
                tool = data.get('tool', '')
                params = json.dumps(data.get('params', {}), ensure_ascii=False)
                yield json.dumps({"content": "**🔧 调用: " + tool + "**\n```\n" + params + "\n```\n\n"}, ensure_ascii=False) + '\n'
            elif t == 'tool_result':
                result = data.get('result', '')
                yield json.dumps({"content": result + "\n\n"}, ensure_ascii=False) + '\n'
            elif t == 'reply':
                msg = data.get('message', '')
                if isinstance(msg, dict) and msg.get('widgettype'):
                    # widget JSON：顶层透传，前端 AgentOut 检测 widgettype 渲染（如 /task 的 PopupWindow）
                    yield json.dumps(msg, ensure_ascii=False) + '\n'
                else:
                    yield json.dumps({"content": msg}, ensure_ascii=False) + '\n'
            elif t == 'ask_user':
                yield json.dumps({"content": "❓ " + data.get('message', '')}, ensure_ascii=False) + '\n'
            elif t == 'confirm':
                _tool = data.get('tool', '')
                _params = data.get('params', {}) or {}
                _cmd = _params.get('command', '') if isinstance(_params, dict) else ''
                yield json.dumps({"content": "⚠️ 需要你确认执行命令：`" + str(_cmd)[:120] + "`\n请回复「确认」执行、「全部确认」本会话不再询问，或「取消」放弃。"}, ensure_ascii=False) + '\n'
            elif t == 'error':
                yield json.dumps({"error": data.get('message', '')}, ensure_ascii=False) + '\n'
            else:
                yield json.dumps({"content": chunk}, ensure_ascii=False) + '\n'

    return await stream_response(request, agent_stream, 'text/plain; charset=utf-8')

elif action == 'list_messages':
    uid = await get_user()
    if not uid:
        return json.dumps({"error": "请先登录"}, ensure_ascii=False)
    async with DBPools().sqlorContext(dbname) as sor:
        ms = await sor.sqlExe(
            "SELECT role,content,created_at FROM pipeline_conversations ORDER BY created_at ASC LIMIT 100", {})
        result = [{"role": getattr(m, 'role', ''), "content": getattr(m, 'content', '')} for m in (ms or [])]
    return json.dumps({"success": True, "messages": result}, ensure_ascii=False, default=str)

else:
    return json.dumps({"error": "Unknown: " + str(action)}, ensure_ascii=False)