import os, sys
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")
    
    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'```.*?```|<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, placeholders=None, rendered_cache=None, suffix='', force_text=False):
    def _render_seg(target, seg, suf=''):
        if seg['type'] == 'fold':
            with target.expander(seg['title'], expanded=False): st.markdown(seg['content'])
        else: target.markdown(seg['content'] + suf, unsafe_allow_html=not not suf)
    if placeholders is not None:  
        while len(placeholders) < len(segments):
            placeholders.append(st.empty()); rendered_cache.append(None)
        for i, seg in enumerate(segments):
            if rendered_cache[i] != (seg, suffix):
                if not force_text or seg['type'] == 'text':
                    with placeholders[i].container(): _render_seg(st, seg, suffix)
                    rendered_cache[i] = (seg, suffix)
    else: 
        for seg in segments: _render_seg(st, seg)

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"]):
        if msg["role"] == "assistant": render_segments(fold_turns(msg["content"]))
        else: st.markdown(msg["content"])

# IME composition fix (macOS only) - prevents Enter from submitting during CJK input
if os.name != 'nt':
    import streamlit.components.v1 as components
    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)

if prompt := st.chat_input("请输入指令"):
    st.session_state.messages.append({"role": "user", "content": prompt})
    with st.chat_message("user"): st.markdown(prompt)

    with st.chat_message("assistant"):
        turns = []; cache = []; response = ''
        for response in agent_backend_stream(prompt):
            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>')
            st.empty()  # force Streamlit to check StopException on every iteration (incl. heartbeat)
        render_segments(fold_turns(response), placeholders=turns, rendered_cache=cache, force_text=True)
    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)