wehub-resource-sync
409 lines
21 KiB
Python
409 lines
21 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 datetime import timedelta
|
|
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
|
|
from btw_cmd import handle_frontend_command as btw_handle_frontend
|
|
from export_cmd import last_assistant_text, export_to_temp, wrap_for_clipboard
|
|
|
|
st.set_page_config(page_title="Cowork", layout="wide", initial_sidebar_state="collapsed")
|
|
|
|
st.markdown("""
|
|
<style>
|
|
[data-testid="stBottom"]{position:fixed!important;bottom:0!important;left:0!important;right:0!important;width:100vw!important;z-index:999;background:var(--background-color,#fff)}
|
|
@media (min-width:768px){[data-testid="stSidebar"][aria-expanded="true"]~div [data-testid="stBottom"]{left:300px!important;width:calc(100vw - 300px)!important}}
|
|
.stMainBlockContainer{padding-bottom:10rem!important}
|
|
</style>
|
|
""", unsafe_allow_html=True)
|
|
|
|
LANG = os.environ.get('GA_LANG', 'zh')
|
|
if LANG not in ('zh', 'en'): LANG = 'zh'
|
|
I18N = {
|
|
'zh': {
|
|
'force_stop': '强行停止任务',
|
|
'desktop_pet': '🐱 桌面宠物',
|
|
'suggest_btn': '🎯 给我找点事做',
|
|
'suggest_prompt': '按照自主行动的规划部分，充分分析我的情况，给我生成一批TODO，务必让我感兴趣',
|
|
'auto_start': '开始空闲自主行动',
|
|
'auto_pause': '⏸️ 禁止自主行动',
|
|
'auto_enable': '▶️ 允许自主行动',
|
|
'auto_on_cap': '🟢 自主行动运行中，会在你离开它30分钟后自动进行',
|
|
'auto_off_cap': '🔴 自主行动已停止',
|
|
'auto_prompt': '[AUTO]🤖 用户已经离开超过30分钟，作为自主智能体，请阅读自动化sop，执行自动任务。',
|
|
},
|
|
'en': {
|
|
'force_stop': 'Force Stop',
|
|
'desktop_pet': '🐱 Desktop Pet',
|
|
'suggest_btn': '🎯 Suggest tasks',
|
|
'suggest_prompt': 'Following the planning section of autonomous sop, analyze my situation thoroughly and generate a batch of TODOs that will interest me.',
|
|
'auto_start': 'Start idle auto-action',
|
|
'auto_pause': '⏸️ Pause auto-action',
|
|
'auto_enable': '▶️ Enable auto-action',
|
|
'auto_on_cap': '🟢 Auto-action enabled, triggers after 30min idle',
|
|
'auto_off_cap': '🔴 Auto-action disabled',
|
|
'auto_prompt': '[AUTO]🤖 User has been idle for over 30 minutes. As an autonomous agent, read the automation SOP and execute automatic tasks.',
|
|
},
|
|
}
|
|
def T(key): return I18N.get(LANG, I18N['zh']).get(key, key)
|
|
|
|
@st.cache_resource
|
|
def init():
|
|
agent = GeneraticAgent()
|
|
if agent.llmclient is None:
|
|
st.error("⚠️ Please set mykey.py!")
|
|
st.stop()
|
|
else: threading.Thread(target=agent.run, daemon=True).start()
|
|
return agent
|
|
|
|
agent = init()
|
|
|
|
def build_prompt(objective):
|
|
return f"""读取 {agent.log_path} 尾部，获取 agent 的最新输出。
|
|
用户的 loop 诉求：<objective>{objective}</objective>
|
|
判断该 agent 是否偷懒、是否真正完成诉求，用 <next_prompt></next_prompt> 输出要追加给它的指令：
|
|
一般复述 objective，或不超过 10 字的**督促**，如：别停，继续 / 这就叫最优？你优化到位了吗 / 看我要求，你达成了吗 / 你好好看清楚 / 你能不能看看记忆 / 把关键发现和阶段性成果落盘，然后继续
|
|
不允许促进 agent 停止或代替宣告任务完成，只允许催促不要对原任务进行评价，特别**禁止**“任务已完成，结束”这种让agent结束的指令，你的任务是让agent继续loop而非停止。
|
|
只输出 <next_prompt>…</next_prompt>，若需要停止则不要输出此tag。
|
|
"""
|
|
|
|
@st.cache_resource
|
|
def get_controller():
|
|
b = {'ev': threading.Event(), 'obj': '', 'out': None, 'ready': False}
|
|
def loop():
|
|
ag = GeneraticAgent(); ag.verbose = False; ag.log_path = False
|
|
threading.Thread(target=ag.run, daemon=True).start()
|
|
while True:
|
|
b['ev'].wait(); b['ev'].clear()
|
|
if ag.llm_no != agent.llm_no: ag.next_llm(agent.llm_no)
|
|
dq = ag.put_task(build_prompt(b['obj']), source="controller")
|
|
while 'done' not in (it := dq.get()): pass
|
|
ms = re.findall(r'<next_prompt>(.*?)</next_prompt>', it['done'], re.S)
|
|
b['out'] = ms[-1].strip() if ms else None; b['ready'] = True
|
|
threading.Thread(target=loop, daemon=True).start(); return b
|
|
|
|
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))}")
|
|
selected_idx = st.selectbox("LLM", [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")
|
|
if st.button(T('force_stop')):
|
|
agent.abort(); st.toast("Stop signal sended"); st.rerun()
|
|
if st.button(T('desktop_pet')):
|
|
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):
|
|
st.error("desktop_pet_v2.pyw not found")
|
|
return
|
|
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('DONE')
|
|
_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("Desktop pet started")
|
|
|
|
if st.button(T('suggest_btn')):
|
|
st.session_state['_inject_prompt'] = T('suggest_prompt')
|
|
st.rerun(scope="app")
|
|
st.divider()
|
|
st.markdown("""<style>
|
|
[data-testid="stSidebar"] .stTextArea textarea {
|
|
field-sizing: content; min-height: 1.6em !important; height: auto !important;
|
|
}
|
|
</style>""", unsafe_allow_html=True)
|
|
st.text_area("Loop prompt", value=st.session_state.get('loop_prompt_input', "继续" if LANG=='zh' else 'next'), key="loop_prompt_input", height=1)
|
|
if st.session_state.get('loop_enabled'):
|
|
if st.button("⏹️ Stop Loop"):
|
|
st.session_state.loop_enabled = False
|
|
st.toast("⏹️ Loop stopped"); st.rerun(scope="app")
|
|
st.caption("🔁 Looping")
|
|
else:
|
|
if st.button("🔁 Loop!"):
|
|
st.session_state.loop_enabled = True
|
|
get_controller()
|
|
st.session_state['_inject_prompt'] = st.session_state.get('loop_prompt_input', '')
|
|
st.toast("🔁 Looping"); st.rerun(scope="app")
|
|
st.divider()
|
|
if st.button(T('auto_start')):
|
|
st.session_state.last_reply_time = int(time.time()) - 1800
|
|
st.session_state.autonomous_enabled = True
|
|
st.rerun(scope="app")
|
|
if st.session_state.autonomous_enabled:
|
|
if st.button(T('auto_pause')):
|
|
st.session_state.autonomous_enabled = False
|
|
st.toast(T('auto_pause')); st.rerun(scope="app")
|
|
st.caption(T('auto_on_cap'))
|
|
else:
|
|
if st.button(T('auto_enable'), type="primary"):
|
|
st.session_state.autonomous_enabled = True
|
|
st.toast("✅"); st.rerun(scope="app")
|
|
st.caption(T('auto_off_cap'))
|
|
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:
|
|
_plain = _c.strip().split('\n', 1)[0]
|
|
title = (_plain[:50] + '...') if len(_plain) > 50 else (_plain or marker.strip('*'))
|
|
segments.append({'type': 'fold', 'title': title, 'content': content})
|
|
else: segments.append({'type': 'text', 'content': marker + content})
|
|
return segments
|
|
_SUMMARY_TAG_RE = re.compile(r'<summary>.*?</summary>\s*', re.DOTALL)
|
|
|
|
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=None):
|
|
"""Drain main task display_queue.
|
|
- prompt given: start a fresh task; new dq is kept in session_state.
|
|
- prompt is None: resume a dq left in session_state by a prior run (e.g. after /btw).
|
|
Per-chunk progress is mirrored to session_state.partial_response so the rendered
|
|
bubble survives reruns. No implicit agent.abort() — explicit stop is on the Stop button."""
|
|
if prompt is not None:
|
|
st.session_state.display_queue = agent.put_task(prompt, source="user")
|
|
st.session_state.partial_response = ''
|
|
dq = st.session_state.get('display_queue')
|
|
if dq is None: return
|
|
# Drop a dangling 'LLM Running (Turn N) ...' marker if the captured partial
|
|
# ended right at a turn boundary with no content yet — otherwise the resume
|
|
# bubble flashes as a marker-only gray line. The marker reappears with
|
|
# content on the next chunk (raw_resp is cumulative).
|
|
response = re.sub(r'\**LLM Running \(Turn \d+\) \.\.\.\**\s*$',
|
|
'', st.session_state.get('partial_response', '')).rstrip()
|
|
try:
|
|
while True:
|
|
try: item = dq.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']
|
|
st.session_state.partial_response = response
|
|
yield response
|
|
if 'done' in item:
|
|
st.session_state.display_queue = None
|
|
st.session_state.partial_response = ''
|
|
yield item['done']; break
|
|
finally:
|
|
agent.abort()
|
|
try:
|
|
st.session_state.display_queue = None
|
|
st.session_state.partial_response = ''
|
|
except BaseException:
|
|
pass
|
|
|
|
|
|
def render_main_stream(prompt=None):
|
|
"""Render the assistant bubble for the main task (new or resumed). Saves final to messages."""
|
|
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()
|
|
if response:
|
|
st.session_state.messages.append({"role": "assistant", "content": response})
|
|
st.session_state.last_reply_time = int(time.time())
|
|
# ── 循环回调：回答完成戳醒 controller 决策(去程,现取最新objective) ──
|
|
if st.session_state.get('loop_enabled'):
|
|
b = get_controller()
|
|
b['obj'] = st.session_state.get('loop_prompt_input', ''); b['ready'] = False; b['ev'].set()
|
|
|
|
if not hasattr(agent, "_ui_messages"): agent._ui_messages = st.session_state.get("messages", [])
|
|
if "messages" not in st.session_state: st.session_state.messages = agent._ui_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
|
|
# 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_ime_fix}</script>', height=0)
|
|
|
|
_injected = st.session_state.pop('_inject_prompt', None)
|
|
prompt = st.chat_input("any task?") or _injected
|
|
if prompt:
|
|
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()
|
|
if cmd.startswith("/btw"):
|
|
answer = btw_handle_frontend(agent, cmd) # sync; bypasses put_task → main agent.run() untouched
|
|
st.session_state.messages = list(st.session_state.messages) + [
|
|
{"role": "user", "content": prompt, "time": ts},
|
|
{"role": "assistant", "content": answer, "time": ts},
|
|
]
|
|
st.rerun() # preserve display_queue/partial_response so resume path drains the running main task
|
|
if cmd.startswith("/export"):
|
|
parts = cmd.split(maxsplit=1)
|
|
sub = parts[1].strip() if len(parts) > 1 else ""
|
|
sub_lower = sub.lower()
|
|
if not sub:
|
|
result = (
|
|
"**选择导出方式：**\n\n"
|
|
"- `/export clip` — 整理到代码块中\n"
|
|
"- `/export <文件名>` — 导出到 `temp/<文件名>`（默认 .md 后缀）\n"
|
|
"- `/export all` — 显示完整对话日志路径"
|
|
)
|
|
elif sub_lower == "all":
|
|
log = agent.log_path
|
|
result = (f"📂 完整对话日志:\n\n`{log}`" if os.path.isfile(log)
|
|
else f"❌ 当前会话尚无日志文件")
|
|
else:
|
|
text = last_assistant_text(agent)
|
|
if not text:
|
|
result = "❌ 还没有模型回复可导出"
|
|
elif sub_lower in ("clip", "copy"):
|
|
result = f"📋 最后一轮回复（点代码块右上角 📋 复制）:\n\n{wrap_for_clipboard(text)}"
|
|
else:
|
|
try:
|
|
path = export_to_temp(text, sub)
|
|
result = f"✅ 已导出:\n\n`{path}`"
|
|
except Exception as e:
|
|
result = f"❌ 导出失败: {e}"
|
|
st.session_state.messages = list(st.session_state.messages) + [
|
|
{"role": "user", "content": cmd, "time": ts},
|
|
{"role": "assistant", "content": result, "time": ts},
|
|
]
|
|
_reset_and_rerun()
|
|
# Regular prompt: any in-flight task will be aborted by the finally block in
|
|
# agent_backend_stream when StopException interrupts the prior generator.
|
|
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)
|
|
render_main_stream(prompt)
|
|
elif st.session_state.get('display_queue') is not None:
|
|
# No new prompt but a task is mid-flight (typically a /btw rerun) — resume drain.
|
|
render_main_stream()
|
|
|
|
# ── 空闲自主行动：fragment 定时检测，替代 launch.pyw 的 idle_monitor ──
|
|
@st.fragment(run_every=timedelta(minutes=1))
|
|
def _idle_checker():
|
|
if st.session_state.get('loop_enabled'):
|
|
b = get_controller()
|
|
if b['ready']:
|
|
b['ready'] = False
|
|
if b['out'] and '停止循环' not in b['out']: st.session_state['_inject_prompt'] = b['out']
|
|
else: st.session_state.loop_enabled = False
|
|
st.rerun(scope="app")
|
|
return
|
|
if not st.session_state.get('autonomous_enabled'): return
|
|
if st.session_state.get('display_queue') is not None: return # 正在运行中
|
|
last = st.session_state.get('last_reply_time', int(time.time()))
|
|
if time.time() - last > 1800:
|
|
st.session_state['_inject_prompt'] = T('auto_prompt')
|
|
st.session_state['last_reply_time'] = int(time.time()) # 防重入
|
|
st.rerun(scope="app")
|
|
_idle_checker()
|