pipeline_core/wwwroot/api/agent_chat.dspy

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# agent_chat.dspy - 通用会话 Agentpipeline-core产线无关
# 使用 AgentExecutor v2gateway 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
# 1. 抽取文本作为中性上下文注入 prompt
# 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
file_ctx = ''
_uploads = [] # [(src_abs, filename)]
_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)
_uploads.append((_abs, _name))
_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
# ── 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 ''
# ── 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,
# 不复制进去则 agent 永远找不到;无当前项目时仅注入文本)──
_saved_files = []
if _uploads:
try:
async with DBPools().sqlorContext(dbname) as sor:
_pid = await get_session_project_id(sor, uid, session_id)
_pdir, _ = await get_project_dir_by_id(sor, _pid)
_saved_files = copy_uploads_to_project(_pdir, _uploads)
except Exception:
_saved_files = []
if file_ctx or _saved_files:
_loc = ''
if _saved_files:
_loc = "文件已保存到项目根目录(" + _pdir + "),可用 read_file 直接读取:\n"
_loc += "\n".join(" - " + n for n, _ in _saved_files) + "\n\n"
prompt = "用户本次上传了以下文件:\n" + _loc + file_ctx + "\n用户指令" + prompt
# ── 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)