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 sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..'))) import streamlit as st import time, json, re, threading, queue from agentmain import GeneraticAgent 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，请在 mykey.py 中添加 sider_cookie 或 oai_apikey+oai_apibase 等信息后重启。") st.stop() else: threading.Thread(target=agent.run, daemon=True).start() return agent agent = init() st.title("🖥️ Cowork") if 'autonomous_enabled' not in st.session_state: st.session_state.autonomous_enabled = False @st.fragment def render_sidebar(): current_idx = agent.llm_no st.caption(f"LLM Core: {current_idx}: {agent.get_llm_name()}", help="点击切换备用链路") 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("切换备用链路"): agent.next_llm(); st.rerun(scope="fragment") 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System Prompt"): agent.llmclient.last_tools = ''; st.toast("下次将重新注入System Prompt") if st.button("🐱 桌面宠物"): kwargs = {'creationflags': 0x08} if sys.platform == 'win32' else {} pet_script = os.path.join(os.path.dirname(__file__), 'desktop_pet_v2.pyw') if not os.path.exists(pet_script): pet_script = os.path.join(os.path.dirname(__file__), 'desktop_pet.pyw') subprocess.Popen([sys.executable, pet_script], **kwargs) def _pet_req(q): threading.Thread(target=lambda: urlopen(f'http://127.0.0.1:51983/?{q}', timeout=2), 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':...}]""" parts = re.split(r'(\**LLM Running \(Turn \d+\) \.\.\.\*\**)', text) 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'```.*?```|.*?', '', content, flags=re.DOTALL) matches = re.findall(r'\s*((?:(?!).)*?)\s*', _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. import streamlit.components.v1 as components _js_scroll_fix = ("!function(){var p=window.parent;if(p.__sfx)return;p.__sfx=1;" "var d=p.document;setInterval(function(){" "var m=d.querySelector('section.main');if(!m)return;" "var b=m.querySelector('.block-container');if(!b)return;" "if(m.scrollHeight>b.scrollHeight+150){" "m.style.overflow='hidden';void m.offsetHeight;m.style.overflow=''}" "},3000)}()") # 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})}()") components.html(f'', height=0) if prompt := st.chat_input("请输入指令"): 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"): slot = st.empty(); response = '' CURSOR = ' ▌' for response in agent_backend_stream(prompt): # 每轮整块重画（含 heartbeat 空转）：segments 不变时 Streamlit diff 零变更 → 不闪烁； # 而 slot.container() 调用本身保证 Streamlit 能抛 StopException（abort 生效） with slot.container(): render_segments(fold_turns(response), suffix=CURSOR) with slot.container(): render_segments(fold_turns(response)) # 收尾去光标 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"""""", unsafe_allow_html=True)