148 lines
7.1 KiB
Python
148 lines
7.1 KiB
Python
import os, sys
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if sys.stdout is None: sys.stdout = open(os.devnull, "w")
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if sys.stderr is None: sys.stderr = open(os.devnull, "w")
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try: sys.stdout.reconfigure(errors='replace')
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except: pass
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try: sys.stderr.reconfigure(errors='replace')
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except: pass
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sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
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import streamlit as st
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import time, json, re, threading, queue
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from agentmain import GeneraticAgent
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st.set_page_config(page_title="Cowork", layout="wide")
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@st.cache_resource
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def init():
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agent = GeneraticAgent()
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if agent.llmclient is None:
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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。")
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st.stop()
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else:
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threading.Thread(target=agent.run, daemon=True).start()
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return agent
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agent = init()
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st.title("🖥️ Cowork")
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if 'autonomous_enabled' not in st.session_state: st.session_state.autonomous_enabled = False
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@st.fragment
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def render_sidebar():
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current_idx = agent.llm_no
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st.caption(f"LLM Core: {current_idx}: {agent.get_llm_name()}", help="点击切换备用链路")
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last_reply_time = st.session_state.get('last_reply_time', 0)
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if last_reply_time > 0:
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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")
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if st.button("切换备用链路"):
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agent.next_llm()
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st.rerun(scope="fragment")
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if st.button("强行停止任务"):
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agent.abort()
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st.toast("已发送停止信号")
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st.rerun()
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if st.button("重新注入System Prompt"):
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agent.llmclient.last_tools = ''
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st.toast("下次将重新注入System Prompt")
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st.divider()
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if st.button("开始空闲自主行动"):
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st.session_state.last_reply_time = int(time.time()) - 1800
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st.toast("已将上次回复时间设为1800秒前")
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st.rerun()
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if st.session_state.autonomous_enabled:
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if st.button("⏸️ 禁止自主行动"):
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st.session_state.autonomous_enabled = False
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st.toast("⏸️ 已禁止自主行动")
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st.rerun()
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st.caption("🟢 自主行动运行中，会在你离开它30分钟后自动进行")
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else:
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if st.button("▶️ 允许自主行动", type="primary"):
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st.session_state.autonomous_enabled = True
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st.toast("✅ 已允许自主行动")
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st.rerun()
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st.caption("🔴 自主行动已停止")
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with st.sidebar: render_sidebar()
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def fold_turns(text):
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"""Return list of segments: [{'type':'text','content':...}, {'type':'fold','title':...,'content':...}]"""
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parts = re.split(r'(\**LLM Running \(Turn \d+\) \.\.\.\*\**)', text)
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if len(parts) < 4: return [{'type': 'text', 'content': text}]
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segments = []
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if parts[0].strip(): segments.append({'type': 'text', 'content': parts[0]})
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turns = []
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for i in range(1, len(parts), 2):
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marker = parts[i]
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content = parts[i+1] if i+1 < len(parts) else ''
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turns.append((marker, content))
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for idx, (marker, content) in enumerate(turns):
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if idx < len(turns) - 1:
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_c = re.sub(r'```.*?```|<thinking>.*?</thinking>', '', content, flags=re.DOTALL)
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matches = re.findall(r'<summary>\s*((?:(?!<summary>).)*?)\s*</summary>', _c, re.DOTALL)
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if matches:
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title = matches[0].strip()
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title = title.split('\n')[0]
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if len(title) > 50: title = title[:50] + '...'
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else: title = marker.strip('*')
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segments.append({'type': 'fold', 'title': title, 'content': content})
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else: segments.append({'type': 'text', 'content': marker + content})
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return segments
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def render_segments(segments, placeholders=None, rendered_cache=None, suffix='', force_text=False):
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def _render_seg(target, seg, suf=''):
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if seg['type'] == 'fold':
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with target.expander(seg['title'], expanded=False): st.markdown(seg['content'])
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else: target.markdown(seg['content'] + suf, unsafe_allow_html=not not suf)
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if placeholders is not None:
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while len(placeholders) < len(segments):
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placeholders.append(st.empty()); rendered_cache.append(None)
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for i, seg in enumerate(segments):
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if rendered_cache[i] != (seg, suffix):
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if not force_text or seg['type'] == 'text':
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with placeholders[i].container(): _render_seg(st, seg, suffix)
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rendered_cache[i] = (seg, suffix)
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else:
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for seg in segments: _render_seg(st, seg)
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def agent_backend_stream(prompt):
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display_queue = agent.put_task(prompt, source="user")
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response = ''
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try:
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while True:
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try: item = display_queue.get(timeout=1)
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except queue.Empty:
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yield response # heartbeat: let outer st.markdown() run → Streamlit checks StopException
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continue
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if 'next' in item:
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response = item['next']; yield response
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if 'done' in item:
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yield item['done']; break
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finally: agent.abort()
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if "messages" not in st.session_state: st.session_state.messages = []
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for msg in st.session_state.messages:
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with st.chat_message(msg["role"]):
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if msg["role"] == "assistant": render_segments(fold_turns(msg["content"]))
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else: st.markdown(msg["content"])
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# IME composition fix (macOS only) - prevents Enter from submitting during CJK input
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if os.name != 'nt':
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import streamlit.components.v1 as components
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components.html('<script>!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})}()</script>', height=0)
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if prompt := st.chat_input("请输入指令"):
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st.session_state.messages.append({"role": "user", "content": prompt})
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with st.chat_message("user"): st.markdown(prompt)
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with st.chat_message("assistant"):
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turns = []; cache = []; response = ''
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for response in agent_backend_stream(prompt):
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render_segments(fold_turns(response), placeholders=turns, rendered_cache=cache, suffix='<span style="animation: blink 1s step-start infinite; color: #0066cc;">▌</span><style>@keyframes blink { 50% { opacity: 0; } }</style>')
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render_segments(fold_turns(response), placeholders=turns, rendered_cache=cache, force_text=True)
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st.session_state.messages.append({"role": "assistant", "content": response})
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st.session_state.last_reply_time = int(time.time())
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if st.session_state.autonomous_enabled:
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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)
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