Liang Jiaqing
537 lines
27 KiB
Python
537 lines
27 KiB
Python
import os, sys, subprocess
|
|
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 functools import lru_cache
|
|
from datetime import timedelta
|
|
import agentmain, llmcore
|
|
from agentmain import GenericAgent
|
|
try: # optional slash cmds; missing modules must not block main chat
|
|
import chatapp_common # monkey-patches GenericAgent: /continue /btw /review
|
|
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
|
|
_SLASH = True
|
|
except ImportError:
|
|
_SLASH = False
|
|
|
|
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}
|
|
[data-testid="stSidebar"] [data-testid="stMarkdownContainer"] hr,
|
|
[data-testid="stSidebar"] hr{margin:0.55rem 0!important}
|
|
[data-testid="stSidebar"] [data-testid="element-container"]:has(hr){margin:0!important;padding:0!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_pause': '⏸️ 禁止自主行动',
|
|
'auto_enable': '▶️ 允许自主行动',
|
|
'auto_on_cap': '🟢 已允许：约1分钟后启动，之后空闲30分钟再触发',
|
|
'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。',
|
|
'detached_running': '⏳ 后台任务运行中…（本页已刷新，实时流不再接入；完成后自动刷新）',
|
|
'get_token': '🔑 获取 Token',
|
|
'get_token_toast': '已打开浏览器',
|
|
'need_mykey': '⚠️ 请配置 mykey.py',
|
|
'reopen_page': '等待配置写入，完成后将自动进入…',
|
|
'show_earlier': '📜 展开更早的 {n} 条',
|
|
'hide_earlier': '📕 收起更早消息',
|
|
},
|
|
'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_pause': '⏸️ Pause auto-action',
|
|
'auto_enable': '▶️ Enable auto-action',
|
|
'auto_on_cap': '🟢 On: first run ~1min, then every 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.',
|
|
'detached_running': '⏳ A task is running in the background… (this page was refreshed, live stream not attached; will refresh when done)',
|
|
'get_token': '🔑 Get Token',
|
|
'get_token_toast': 'Opened in browser',
|
|
'need_mykey': '⚠️ Please set mykey.py',
|
|
'reopen_page': 'Waiting for config… will enter automatically',
|
|
'show_earlier': '📜 Show {n} earlier messages',
|
|
'hide_earlier': '📕 Collapse earlier messages',
|
|
},
|
|
}
|
|
def T(key): return I18N.get(LANG, I18N['zh']).get(key, key)
|
|
|
|
@st.cache_resource
|
|
def init():
|
|
agent = GenericAgent()
|
|
threading.Thread(target=agent.run, daemon=True).start()
|
|
return agent
|
|
|
|
agent = init()
|
|
# NOTE: never abort merely because a new session appeared (F5 / 2nd tab / external probe).
|
|
# Aborting is an *intent*, triggered only by a new prompt or the Stop button.
|
|
_sp = getattr(agentmain, "start_subscription_portal", None)
|
|
|
|
@st.fragment(run_every=timedelta(seconds=2))
|
|
def _watch_portal():
|
|
b = st.session_state["portal_wait"]
|
|
c = tuple(n for _, n, _ in agent.list_llms())
|
|
if c and c != b:
|
|
del st.session_state["portal_wait"]
|
|
st.session_state.pop("sidebar_llm_select", None)
|
|
st.rerun(scope="app")
|
|
|
|
if not agent.llmclients and _sp:
|
|
st.session_state.setdefault("portal_wait", ()); _sp()
|
|
if "portal_wait" in st.session_state: _watch_portal()
|
|
|
|
if not agent.llmclients:
|
|
if _sp: st.warning(T("reopen_page"))
|
|
else: st.error(T("need_mykey"))
|
|
st.stop()
|
|
|
|
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, 'ag': None, 'epoch': 0}
|
|
def loop():
|
|
ag = GenericAgent(); ag.verbose = False; ag.log_path = False; b['ag'] = ag
|
|
threading.Thread(target=ag.run, daemon=True).start()
|
|
while True:
|
|
b['ev'].wait(); b['ev'].clear(); ep = b.get('job', b['epoch'])
|
|
if ep != b['epoch']: continue
|
|
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
|
|
if ep != b['epoch']: continue # Stop Loop 已翻页 → 丢弃过期决策
|
|
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():
|
|
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()
|
|
if st.button(T('force_stop')):
|
|
agent.abort()
|
|
st.toast("Stop signal sent")
|
|
st.rerun(scope="app")
|
|
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)
|
|
if not hasattr(agent, '_turn_end_hooks'): agent._turn_end_hooks = {}
|
|
def _pet_hook(ctx): # the pet subscribes to the bus topic 'turn': no port, no HTTP, one hop
|
|
done = ctx.get('exit_reason')
|
|
# NOTE: must be a statement, not a bare expression -- streamlit's AST "magic"
|
|
# rewrites bare expressions into st.write(), which fires "missing ScriptRunContext"
|
|
# from this worker thread (and would try to render the return value).
|
|
if agent._hub:
|
|
agent._hub.emit('turn', {'state': 'idle' if done else None, 'msg': '\n'.join(
|
|
[f"Turn {ctx.get('turn', '?')}"] + [x for x in (ctx.get('summary'), done and 'DONE') if x])})
|
|
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=68)
|
|
if st.session_state.get('loop_enabled'):
|
|
if st.button("⏹️ Stop Loop"):
|
|
st.session_state.loop_enabled = False
|
|
b = get_controller(); b['epoch'] += 1; b['ready'] = False
|
|
if b['ag'] is not None: b['ag'].abort() # controller 若在决策也断掉
|
|
agent.abort() # 兼做 Force Stop：立刻断
|
|
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.toast("🔁 Looping")
|
|
# 流式中不做 app rerun（会打断本轮）：留给本轮收尾回调戳 controller 续
|
|
if st.session_state.get('display_queue') is None:
|
|
st.session_state['_inject_prompt'] = st.session_state.get('loop_prompt_input', '')
|
|
st.rerun(scope="app")
|
|
st.divider()
|
|
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"):
|
|
# 允许 = 约1分钟后首次触发（阈值 1800-60），之后仍按空闲30分钟
|
|
st.session_state.last_reply_time = int(time.time()) - 1740
|
|
st.session_state.autonomous_enabled = True
|
|
st.toast("✅"); st.rerun(scope="app")
|
|
st.caption(T('auto_off_cap'))
|
|
if _sp:
|
|
st.divider()
|
|
if st.button(T("get_token")):
|
|
st.session_state.portal_wait = tuple(n for _, n, _ in agent.list_llms())
|
|
_sp(); st.rerun(scope="app")
|
|
with st.sidebar: render_sidebar()
|
|
|
|
def _fold_turns_impl(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:
|
|
segments.append({'type': 'fold', 'title': _step_title(content, idx) or marker.strip('*'), 'content': content})
|
|
else: segments.append({'type': 'text', 'content': marker + content})
|
|
return segments
|
|
|
|
def _step_title(s, j=0):
|
|
body = re.sub(r'\**LLM Running \(Turn \d+\) \.\.\.\**|`{3,}.*?`{3,}|<thinking>.*?</thinking>', '', s or '', flags=re.DOTALL)
|
|
m = re.search(r'<summary>\s*(.*?)\s*</summary>', body, re.DOTALL)
|
|
t = (m.group(1) if m else body.strip()).strip().split('\n')[0]
|
|
return (t[:50] + '...' if len(t) > 50 else t) or f'step {j + 1}'
|
|
|
|
@st.cache_resource
|
|
def _get_fold_turns(): return lru_cache(maxsize=128)(_fold_turns_impl)
|
|
|
|
fold_turns = _get_fold_turns()
|
|
def render_segments(segments, suffix=''):
|
|
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 _start_main_task(prompt):
|
|
"""Start a task whose queue can be drained across Streamlit reruns."""
|
|
st.session_state.display_queue = agent.put_task(prompt, source="user")
|
|
st.session_state.task_start_ts = time.time()
|
|
st.session_state.pop('task_end_ts', None)
|
|
|
|
def _cancel_main_task():
|
|
agent.abort()
|
|
st.session_state.display_queue = None
|
|
|
|
def _poll_main_task(max_items=256):
|
|
"""Doorbell only — drain queue; render reads agent.all_outputs."""
|
|
dq = st.session_state.get("display_queue")
|
|
if dq is None: return None
|
|
done = None
|
|
for _ in range(max_items):
|
|
try: item = dq.get_nowait()
|
|
except queue.Empty: break
|
|
if "done" in item:
|
|
done = item["done"]
|
|
st.session_state.task_end_ts = time.time()
|
|
st.session_state.display_queue = None
|
|
break
|
|
return done
|
|
|
|
def _render_stat_badge(is_running):
|
|
if 'task_start_ts' not in st.session_state or not hasattr(llmcore, 'STATS'): return
|
|
end_ts = time.time() if is_running else st.session_state.get('task_end_ts', time.time())
|
|
secs = max(0, int(end_ts - st.session_state.task_start_ts))
|
|
stats = dict(llmcore.STATS)
|
|
short = lambda n: f'{n / 1000:.0f}k' if n >= 1000 else str(n)
|
|
usage = ((f"{stats['session']} │ " if stats.get('session') else '') +
|
|
f"{short(stats['ctx'])} chars·{stats['msgs']}msgs │ "
|
|
f"in {short(stats.get('inp', 0))} toks·cached{short(stats.get('cached', 0))}·out{short(stats.get('out', 0))} │ "
|
|
if 'ctx' in stats else '')
|
|
st.markdown(f'<div class="ga-stat-badge">{usage}{secs // 60}:{secs % 60:02d}</div>',
|
|
unsafe_allow_html=True)
|
|
|
|
|
|
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
|
|
if not hasattr(agent, "_hub"):
|
|
try:
|
|
import hub; agent._hub = hub.connect(agent, 'stapp')
|
|
except Exception: agent._hub = None
|
|
# Lazy history: long sessions (esp. after loop) render thousands of elements on every
|
|
# full-app rerun → seconds of gray/RUNNING. Only render the tail unless expanded.
|
|
_HIST_TAIL = 10
|
|
_msgs = st.session_state.messages
|
|
if len(_msgs) > _HIST_TAIL:
|
|
if not st.session_state.get("show_full_history"):
|
|
if st.button(T('show_earlier').format(n=len(_msgs) - _HIST_TAIL), key="_show_hist"):
|
|
st.session_state.show_full_history = True
|
|
st.rerun()
|
|
_msgs = _msgs[-_HIST_TAIL:]
|
|
else:
|
|
if st.button(T('hide_earlier'), key="_hide_hist"):
|
|
st.session_state.show_full_history = False
|
|
st.rerun()
|
|
for msg in _msgs:
|
|
with st.chat_message(msg["role"]):
|
|
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)
|
|
|
|
_typed = st.chat_input("any task?")
|
|
_injected = None if _typed else st.session_state.pop('_inject_prompt', None) # typed run: keep parked
|
|
if (_injected is None and not _typed and not agent.is_running
|
|
and st.session_state.get('display_queue') is None and getattr(agent, '_hub_inbox', None)):
|
|
try: _injected = agent._hub_inbox.pop(0) # hub text enters the SAME entrance as typing
|
|
except IndexError: pass # another tab won the pop
|
|
prompt = _typed or _injected
|
|
if prompt:
|
|
ts = time.strftime("%Y-%m-%d %H:%M:%S")
|
|
cmd = (prompt or "").strip()
|
|
def _reset_and_rerun():
|
|
_cancel_main_task()
|
|
st.session_state.streaming = False
|
|
st.session_state.reply_ts = ""
|
|
st.session_state.current_prompt = ""
|
|
st.session_state.last_reply_time = int(time.time())
|
|
st.rerun()
|
|
def _slash_missing(name):
|
|
st.session_state.messages.extend([
|
|
{"role": "user", "content": cmd, "time": ts},
|
|
{"role": "assistant", "content": f"❌ `{name}` 模块未安装", "time": ts},
|
|
])
|
|
_reset_and_rerun()
|
|
if cmd == "/new":
|
|
if not _SLASH: _slash_missing('continue_cmd')
|
|
st.session_state.messages[:] = [{"role": "assistant", "content": reset_conversation(agent), "time": ts}]
|
|
_reset_and_rerun()
|
|
if cmd.startswith("/continue"):
|
|
if not _SLASH: _slash_missing('continue_cmd')
|
|
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.extend([{"role": "user", "content": cmd, "time": ts}] + tail)
|
|
_reset_and_rerun()
|
|
if cmd.startswith("/btw"):
|
|
if not _SLASH: _slash_missing('btw_cmd')
|
|
answer = btw_handle_frontend(agent, cmd) # sync; bypasses put_task → main agent.run() untouched
|
|
st.session_state.messages.extend([
|
|
{"role": "user", "content": prompt, "time": ts},
|
|
{"role": "assistant", "content": answer, "time": ts},
|
|
])
|
|
st.rerun() # preserve display_queue 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": # only needs agent.log_path
|
|
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")
|
|
elif not _SLASH:
|
|
result = "❌ `export_cmd` 模块未安装"
|
|
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.extend([
|
|
{"role": "user", "content": cmd, "time": ts},
|
|
{"role": "assistant", "content": result, "time": ts},
|
|
])
|
|
_reset_and_rerun()
|
|
# Regular prompt starts a new main task. Explicitly detach any prior task first;
|
|
# sidebar-only reruns never pass through this branch, so they keep the queue.
|
|
if agent.is_running or st.session_state.get("display_queue") is not None:
|
|
_cancel_main_task()
|
|
st.session_state.messages.append({"role": "user", "content": prompt})
|
|
if agent._hub and not prompt.startswith('/'): agent._hub.emit('turn', {'state': 'walk'})
|
|
with st.chat_message("user"): st.markdown(prompt)
|
|
_start_main_task(prompt)
|
|
|
|
# Stream bubble is owned by the fragment below: a fragment atomically replaces
|
|
# its *own* subtree on every rerun in all Streamlit versions, whereas writing
|
|
# into a container created outside the fragment is version-dependent (pre-1.62
|
|
# appends forever → duplicates; ≥1.62 resets/GCs → disappears). So never hoist
|
|
# the host out of the fragment; paint the full desired state each tick.
|
|
_owns_stream = st.session_state.get('display_queue') is not None
|
|
if not _owns_stream and agent.is_running:
|
|
st.chat_message("assistant").markdown(T("detached_running"))
|
|
|
|
@st.fragment(run_every=timedelta(seconds=1 if (_owns_stream or agent.is_running or st.session_state.get('loop_enabled')) else 5))
|
|
def _tick():
|
|
"""Poll every second while active and every five seconds while idle."""
|
|
# 1) Own stream: drain done, paint all_outputs
|
|
if _owns_stream:
|
|
done = _poll_main_task()
|
|
if done is not None:
|
|
if done:
|
|
st.session_state.messages.append({"role": "assistant", "content": done})
|
|
st.session_state.last_reply_time = int(time.time())
|
|
if st.session_state.get('loop_enabled'):
|
|
b = get_controller()
|
|
b['obj'] = st.session_state.get('loop_prompt_input', '')
|
|
b['ready'] = False; b['job'] = b['epoch']; b['ev'].set()
|
|
st.rerun(scope="app"); return
|
|
# Only paint all_outputs[-1] when worker is on *this* display_queue.
|
|
# After force-stop + immediate next prompt, UI already owns a new queue while
|
|
# agent still finishes / hasn't dequeued the new task → [-1] is the old task.
|
|
# Reading it would dump the old task's expanders into the new bubble.
|
|
# Gate on queue identity (no hub change).
|
|
_dq = st.session_state.get("display_queue")
|
|
steps = (list(((agent.all_outputs or [{}])[-1].get("outputs")) or [])
|
|
if _dq is getattr(agent, "_current_queue", None) else [])
|
|
live = re.sub(r'\**LLM Running \(Turn \d+\) \.\.\.\**\s*$', '',
|
|
(steps[-1] if steps else '') or '').rstrip()
|
|
# Idempotent repaint inside the fragment's own subtree: the whole
|
|
# bubble (expanders + live tail) is re-emitted from state every tick,
|
|
# so a rerun can neither drop nor duplicate elements.
|
|
with st.chat_message("assistant"):
|
|
for i in range(max(0, len(steps) - 1)):
|
|
body = steps[i] or ''
|
|
with st.expander(_step_title(body, i), expanded=False): st.markdown(body)
|
|
st.markdown(live + " ▌")
|
|
_render_stat_badge(is_running=True)
|
|
return
|
|
|
|
# 2) Detached: salvage done from agent queue (refresh / 2nd tab)
|
|
dq = getattr(agent, "_current_queue", None)
|
|
if dq is not None and st.session_state.get('display_queue') is None:
|
|
while True:
|
|
try: item = dq.get_nowait()
|
|
except Exception: break
|
|
if isinstance(item, dict) and "done" in item:
|
|
if item["done"]:
|
|
st.session_state.messages.append({"role": "assistant", "content": item["done"]})
|
|
st.rerun(scope="app"); return
|
|
if agent.is_running:
|
|
st.session_state['_saw_detached'] = True
|
|
return
|
|
if st.session_state.pop('_saw_detached', None):
|
|
st.rerun(scope="app"); return
|
|
|
|
# 3) Hub inbox: just wake a full run; the unified entrance pops it when idle (mimics typing)
|
|
if getattr(agent, '_hub_inbox', None) and st.session_state.get('display_queue') is None and not agent.is_running:
|
|
st.rerun(scope="app"); return
|
|
|
|
# 4) Loop / autonomous idle inject (was 1min fragment; time-gated so 1s tick is fine)
|
|
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 st.session_state.get('autonomous_enabled'):
|
|
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())
|
|
st.rerun(scope="app")
|
|
|
|
_tick()
|
|
|
|
# Badges project backend only: agent.is_running. task_start_ts is just UI clock for the stat line.
|
|
_has_task_stats = 'task_start_ts' in st.session_state
|
|
_is_running = bool(agent.is_running)
|
|
if _has_task_stats and not _is_running:
|
|
_render_stat_badge(is_running=False)
|
|
|
|
if _has_task_stats or _is_running:
|
|
st.markdown(
|
|
('<div class="ga-run-badge">RUNNING</div>' if _is_running else '') +
|
|
'<style>.ga-run-badge,.ga-stat-badge{position:fixed;top:1.25rem;z-index:1000001;'
|
|
'padding:1px 10px;border-radius:12px;font-size:.72rem;font-weight:600;letter-spacing:.05em}'
|
|
'.ga-run-badge{right:2.8rem;background:rgba(255,75,75,.10);color:#ff4b4b;animation:gaPulse 1.2s ease-in-out infinite}'
|
|
'.ga-stat-badge{right:8.4rem;background:rgba(128,128,128,.1);color:#8a8a8a;'
|
|
'font-variant-numeric:tabular-nums;letter-spacing:0}'
|
|
'@keyframes gaPulse{50%{opacity:.35}}</style>', unsafe_allow_html=True)
|