Files
GenericAgent/frontends/stapp.py
T

244 lines
12 KiB
Python

import os, sys, subprocess
from urllib.request import urlopen
from urllib.parse import quote
if sys.stdout is None: sys.stdout = open(os.devnull, "w")
if sys.stderr is None: sys.stderr = open(os.devnull, "w")
try: sys.stdout.reconfigure(errors='replace')
except: pass
try: sys.stderr.reconfigure(errors='replace')
except: pass
script_dir = os.path.dirname(__file__)
sys.path.append(os.path.abspath(os.path.join(script_dir, '..')))
sys.path.append(os.path.abspath(script_dir))
import streamlit as st
import time, json, re, threading, queue
from agentmain import GeneraticAgent
import chatapp_common # activate /continue command (monkey patches GeneraticAgent)
from continue_cmd import handle_frontend_command, reset_conversation, list_sessions, extract_ui_messages
st.set_page_config(page_title="Cowork", layout="wide")
@st.cache_resource
def init():
agent = GeneraticAgent()
if agent.llmclient is None:
st.error("⚠️ 未配置任何可用的 LLM 接口,请设置mykey.py。")
st.stop()
else: threading.Thread(target=agent.run, daemon=True).start()
return agent
agent = init()
st.title("🖥️ Cowork")
st.session_state.setdefault('autonomous_enabled', False)
@st.fragment
def render_sidebar():
st.session_state.setdefault('autonomous_enabled', False)
llm_options = agent.list_llms()
current_idx = agent.llm_no
llm_labels = {idx: f"{idx}: {(name or '').strip()}" for idx, name, _ in llm_options}
st.caption(f"LLM Core: {llm_labels.get(current_idx, str(current_idx))}", help="下拉切换备用链路")
selected_idx = st.selectbox("备用链路", [idx for idx, _, _ in llm_options], index=next((i for i, (idx, _, _) in enumerate(llm_options) if idx == current_idx), 0), format_func=llm_labels.get, label_visibility="collapsed", key="sidebar_llm_select")
if selected_idx != current_idx:
agent.next_llm(selected_idx); st.rerun(scope="fragment")
last_reply_time = st.session_state.get('last_reply_time', 0)
if last_reply_time > 0:
st.caption(f"空闲时间:{int(time.time()) - last_reply_time}秒", help="当超过30分钟未收到回复时,系统会自动任务")
if st.button("强行停止任务"):
agent.abort(); st.toast("已发送停止信号"); st.rerun()
if st.button("重新注入工具"):
agent.llmclient.last_tools = ''
try:
hist_path = os.path.join(script_dir, '..', 'assets', 'tool_usable_history.json')
with open(hist_path, 'r', encoding='utf-8') as f: tool_hist = json.load(f)
agent.llmclient.backend.history.extend(tool_hist)
st.toast(f"已重新注入工具,追加了 {len(tool_hist)} 条示范记录")
except Exception as e: st.toast(f"注入工具示范失败: {e}")
if st.button("🐱 桌面宠物"):
kwargs = {'creationflags': 0x08} if sys.platform == 'win32' else {}
pet_script = os.path.join(script_dir, 'desktop_pet_v2.pyw')
if not os.path.exists(pet_script): pet_script = os.path.join(script_dir, 'desktop_pet.pyw')
subprocess.Popen([sys.executable, pet_script], **kwargs)
def _pet_req(q):
def _do():
try: urlopen(f'http://127.0.0.1:41983/?{q}', timeout=2)
except Exception: pass
threading.Thread(target=_do, daemon=True).start()
agent._pet_req = _pet_req
if not hasattr(agent, '_turn_end_hooks'): agent._turn_end_hooks = {}
def _pet_hook(ctx):
parts = [f"Turn {ctx.get('turn','?')}"]
if ctx.get('summary'): parts.append(ctx['summary'])
if ctx.get('exit_reason'): parts.append('任务已完成')
_pet_req(f'msg={quote(chr(10).join(parts))}')
if ctx.get('exit_reason'): _pet_req('state=idle')
agent._turn_end_hooks['pet'] = _pet_hook
st.toast("桌面宠物已启动")
st.divider()
if st.button("开始空闲自主行动"):
st.session_state.last_reply_time = int(time.time()) - 1800
st.toast("已将上次回复时间设为1800秒前"); st.rerun()
if st.session_state.autonomous_enabled:
if st.button("⏸️ 禁止自主行动"):
st.session_state.autonomous_enabled = False
st.toast("⏸️ 已禁止自主行动"); st.rerun()
st.caption("🟢 自主行动运行中,会在你离开它30分钟后自动进行")
else:
if st.button("▶️ 允许自主行动", type="primary"):
st.session_state.autonomous_enabled = True
st.toast("✅ 已允许自主行动"); st.rerun()
st.caption("🔴 自主行动已停止")
with st.sidebar: render_sidebar()
def fold_turns(text):
"""Return list of segments: [{'type':'text','content':...}, {'type':'fold','title':...,'content':...}]"""
# 先把4+反引号块替换为占位符,避免误切子agent嵌套的 LLM Running
_ph = []
safe = re.sub(r'`{4,}.*?`{4,}', lambda m: (_ph.append(m.group(0)), f'\x00PH{len(_ph)-1}\x00')[1], text, flags=re.DOTALL)
# 流式中间态:末尾可能有未闭合的4+反引号块,也需保护
safe = re.sub(r'`{4,}[^`].*$', lambda m: (_ph.append(m.group(0)), f'\x00PH{len(_ph)-1}\x00')[1], safe, flags=re.DOTALL)
parts = re.split(r'(\**LLM Running \(Turn \d+\) \.\.\.\*\**)', safe)
parts = [re.sub(r'\x00PH(\d+)\x00', lambda m: _ph[int(m.group(1))], p) for p in parts]
if len(parts) < 4: return [{'type': 'text', 'content': text}]
segments = []
if parts[0].strip(): segments.append({'type': 'text', 'content': parts[0]})
turns = []
for i in range(1, len(parts), 2):
marker = parts[i]
content = parts[i+1] if i+1 < len(parts) else ''
turns.append((marker, content))
for idx, (marker, content) in enumerate(turns):
if idx < len(turns) - 1:
_c = re.sub(r'`{3,}.*?`{3,}|<thinking>.*?</thinking>', '', content, flags=re.DOTALL)
matches = re.findall(r'<summary>\s*((?:(?!<summary>).)*?)\s*</summary>', _c, re.DOTALL)
if matches:
title = matches[0].strip()
title = title.split('\n')[0]
if len(title) > 50: title = title[:50] + '...'
else: title = marker.strip('*')
segments.append({'type': 'fold', 'title': title, 'content': content})
else: segments.append({'type': 'text', 'content': marker + content})
return segments
def render_segments(segments, suffix=''):
# 整块重画:调用方用 slot.container() 包裹,保证 DOM 路径稳定、跨 rerun 对齐(消除"灰色重影")。
# heartbeat 空转时 segments 不变 → Streamlit 后端 diff 无变化 → 前端零闪烁;
# 但 container/markdown 本身是 API 调用,StopException 仍会被抛出(abort 照常起作用)。
for seg in segments:
if seg['type'] == 'fold':
with st.expander(seg['title'], expanded=False): st.markdown(seg['content'])
else:
st.markdown(seg['content'] + suffix)
def agent_backend_stream(prompt):
display_queue = agent.put_task(prompt, source="user")
response = ''
try:
while True:
try: item = display_queue.get(timeout=1)
except queue.Empty:
yield response # heartbeat: let outer st.markdown() run → Streamlit checks StopException
continue
if 'next' in item:
response = item['next']; yield response
if 'done' in item:
yield item['done']; break
finally: agent.abort()
if "messages" not in st.session_state: st.session_state.messages = []
for msg in st.session_state.messages:
with st.chat_message(msg["role"]):
# 用 slot=st.empty() + with slot.container(): ... 的外壳,DOM 路径和流式渲染完全一致,跨 rerun 对齐
slot = st.empty()
with slot.container():
if msg["role"] == "assistant": render_segments(fold_turns(msg["content"]))
else: st.markdown(msg["content"])
# Scroll-height ghost fix: during streaming, expander open/close mid-animation can leave
# phantom height → scrollbar long but can't scroll to bottom. Periodically detect & reflow.
try:
from streamlit import iframe as _st_iframe # 1.56+
_embed_html = lambda html, **kw: _st_iframe(html, **{k: max(v, 1) if isinstance(v, int) else v for k, v in kw.items()})
except (ImportError, AttributeError):
from streamlit.components.v1 import html as _embed_html # ≤1.55
_js_scroll_fix = (
"!function(){var p=window.parent;if(p.__sfx2)return;p.__sfx2=1;var d=p.document;"
"function f(){var m=d.querySelector('section.main');if(!m)return;"
"var s=m.scrollTop;m.style.minHeight=m.scrollHeight+1+'px';void m.offsetHeight;"
"m.style.minHeight='';void m.offsetHeight;m.scrollTop=s}"
"d.addEventListener('transitionend',function(e){"
"e.target.closest&&e.target.closest('details')&&setTimeout(f,60)},!0);"
"new MutationObserver(function(){setTimeout(f,80)})"
".observe(d.body,{subtree:1,attributes:1,attributeFilter:['open']});"
"setInterval(f,5000)}()"
)
# IME composition fix (macOS only) - prevents Enter from submitting during CJK input
_js_ime_fix = ("" if os.name == 'nt' else
"!function(){if(window.parent.__imeFix)return;window.parent.__imeFix=1;"
"var d=window.parent.document,c=0;"
"d.addEventListener('compositionstart',()=>c=1,!0);"
"d.addEventListener('compositionend',()=>c=0,!0);"
"function f(){d.querySelectorAll('textarea[data-testid=stChatInputTextArea]')"
".forEach(t=>{t.__imeFix||(t.__imeFix=1,t.addEventListener('keydown',e=>{"
"e.key==='Enter'&&!e.shiftKey&&(e.isComposing||c||e.keyCode===229)&&"
"(e.stopImmediatePropagation(),e.preventDefault())},!0))})}"
"f();new MutationObserver(f).observe(d.body,{childList:1,subtree:1})}()")
_embed_html(f'<script>{_js_scroll_fix};{_js_ime_fix}</script>', height=0)
if prompt := st.chat_input("any task?"):
ts = time.strftime("%Y-%m-%d %H:%M:%S")
cmd = (prompt or "").strip()
def _reset_and_rerun():
st.session_state.streaming = False
st.session_state.stopping = False
st.session_state.display_queue = None
st.session_state.partial_response = ""
st.session_state.reply_ts = ""
st.session_state.current_prompt = ""
st.session_state.last_reply_time = int(time.time())
st.rerun()
if cmd == "/new":
st.session_state.messages = [{"role": "assistant", "content": reset_conversation(agent), "time": ts}]
_reset_and_rerun()
if cmd.startswith("/continue"):
m = re.match(r'/continue\s+(\d+)\s*$', cmd.strip())
sessions = list_sessions(exclude_pid=os.getpid()) if m else []
idx = int(m.group(1)) - 1 if m else -1
# Resolve target path BEFORE handle (which snapshots current log, shifting indices).
target = sessions[idx][0] if 0 <= idx < len(sessions) else None
result = handle_frontend_command(agent, cmd)
history = extract_ui_messages(target) if target and result.startswith('✅') else None
tail = [{"role": "assistant", "content": result, "time": ts}]
if history:
st.session_state.messages = history + tail
else:
st.session_state.messages = list(st.session_state.messages) + \
[{"role": "user", "content": cmd, "time": ts}] + tail
_reset_and_rerun()
st.session_state.messages.append({"role": "user", "content": prompt})
if hasattr(agent, '_pet_req') and not prompt.startswith('/'): agent._pet_req('state=walk')
with st.chat_message("user"): st.markdown(prompt)
with st.chat_message("assistant"):
frozen = 0; live = st.empty(); response = ''
CURSOR = ' ▌'
for response in agent_backend_stream(prompt):
segs = fold_turns(response)
n_done = max(0, len(segs) - 1)
while frozen < n_done:
with live.container(): render_segments([segs[frozen]])
live = st.empty(); frozen += 1
with live.container(): render_segments([segs[-1]], suffix=CURSOR) # live 区域
segs = fold_turns(response)
for i in range(frozen, len(segs)):
with live.container(): render_segments([segs[i]])
if i < len(segs) - 1: live = st.empty()
st.session_state.messages.append({"role": "assistant", "content": response})
st.session_state.last_reply_time = int(time.time())
if st.session_state.autonomous_enabled:
st.markdown(f"""<div id="last-reply-time" style="display:none">{st.session_state.get('last_reply_time', int(time.time()))}</div>""", unsafe_allow_html=True)