import json, re, os
from dataclasses import dataclass
from typing import Any, Optional
@dataclass
class StepOutcome:
    data: Any
    next_prompt: Optional[str] = None
    should_exit: bool = False
def try_call_generator(func, *args, **kwargs):
    ret = func(*args, **kwargs)
    if hasattr(ret, '__iter__') and not isinstance(ret, (str, bytes, dict, list)): ret = yield from ret
    return ret

class BaseHandler:
    def tool_before_callback(self, tool_name, args, response): pass
    def tool_after_callback(self, tool_name, args, response, ret): pass
    def next_prompt_patcher(self, next_prompt, outcome, turn): return next_prompt
    def dispatch(self, tool_name, args, response, index=0):
        method_name = f"do_{tool_name}"
        if hasattr(self, method_name):
            args['_index'] = index
            prer = yield from try_call_generator(self.tool_before_callback, tool_name, args, response)
            ret = yield from try_call_generator(getattr(self, method_name), args, response)
            _ = yield from try_call_generator(self.tool_after_callback, tool_name, args, response, ret)
            return ret
        elif tool_name == 'bad_json': return StepOutcome(None, next_prompt=args.get('msg', 'bad_json'), should_exit=False)
        else:
            yield f"未知工具: {tool_name}\n"
            return StepOutcome(None, next_prompt=f"未知工具 {tool_name}", should_exit=False)

def json_default(o):
    if isinstance(o, set): return list(o)
    return str(o) 

def exhaust(g):
    try: 
        while True: next(g)
    except StopIteration as e: return e.value

def get_pretty_json(data):
    if isinstance(data, dict) and "script" in data:
        data = data.copy(); data["script"] = data["script"].replace("; ", ";\n  ")
    return json.dumps(data, indent=2, ensure_ascii=False).replace('\\n', '\n')

def agent_runner_loop(client, system_prompt, user_input, handler, tools_schema, max_turns=40, verbose=True, initial_user_content=None):
    messages = [
        {"role": "system", "content": system_prompt},
        {"role": "user", "content": initial_user_content if initial_user_content is not None else user_input}
    ]
    turn = 0; handler._done_hooks = [];  handler.max_turns = max_turns
    while turn < handler.max_turns:
        turn += 1; md = '**' if verbose else ''
        yield f"{md}LLM Running (Turn {turn}) ...{md}\n\n"
        if turn%10 == 0: client.last_tools = ''  # 每10轮重置一次工具描述，避免上下文过大导致的模型性能下降
        response_gen = client.chat(messages=messages, tools=tools_schema)
        if verbose:
            response = yield from response_gen
            yield '\n\n'
        else:
            response = exhaust(response_gen)
            cleaned = _clean_content(response.content)
            if cleaned: yield cleaned + '\n'

        if not response.tool_calls: tool_calls = [{'tool_name': 'no_tool', 'args': {}}]
        else: tool_calls = [{'tool_name': tc.function.name, 'args': json.loads(tc.function.arguments), 'id': tc.id}
                          for tc in response.tool_calls]
       
        tool_results = []; next_prompts = set(); should_exit = None
        for ii, tc in enumerate(tool_calls):
            tool_name, args, tid = tc['tool_name'], tc['args'], tc.get('id', '')
            if tool_name == 'no_tool': pass
            else: 
                if verbose: yield f"🛠️ 正在调用工具: `{tool_name}`  📥参数:\n````text\n{get_pretty_json(args)}\n````\n"
                else: yield f"🛠️ {tool_name}({_compact_tool_args(tool_name, args)})\n\n\n"
            handler.current_turn = turn
            gen = handler.dispatch(tool_name, args, response, index=ii)
            try:
                v = next(gen)
                def proxy(): yield v; return (yield from gen)
                if verbose: yield '`````\n'
                outcome = (yield from proxy()) if verbose else exhaust(proxy())
                if verbose: yield '`````\n'
            except StopIteration as e: outcome = e.value
            
            if outcome.should_exit: return {'result': 'EXITED', 'data': outcome.data}    # should_exit is only used for immediate exit
            if not outcome.next_prompt: 
                should_exit = {'result': 'CURRENT_TASK_DONE', 'data': outcome.data}; break
            if outcome.next_prompt.startswith('未知工具'): client.last_tools = ''
            if outcome.data is not None: 
                datastr = json.dumps(outcome.data, ensure_ascii=False, default=json_default) if type(outcome.data) in [dict, list] else str(outcome.data) 
                tool_results.append({'tool_use_id': tid, 'content': datastr})
            next_prompts.add(outcome.next_prompt)
        if len(next_prompts) == 0:
            if len(handler._done_hooks) == 0: return should_exit
            next_prompts.add(handler._done_hooks.pop(0))
        next_prompt = handler.next_prompt_patcher("\n".join(next_prompts), None, turn)
        messages = [{"role": "user", "content": next_prompt, "tool_results": tool_results}]   # just new message, history is kept in *Session
    return {'result': 'MAX_TURNS_EXCEEDED'}

def _clean_content(text):
    if not text: return ''
    def _shrink_code(m):
        lines = m.group(0).split('\n')
        lang = lines[0].replace('```','').strip()
        body = [l for l in lines[1:-1] if l.strip()]  # 去掉```行和空行
        if len(body) <= 6: return m.group(0)  # 短代码保留
        preview = '\n'.join(body[:5])
        return f'```{lang}\n{preview}\n  ... ({len(body)} lines)\n```'
    text = re.sub(r'```[\s\S]*?```', _shrink_code, text)
    for p in [r'<file_content>[\s\S]*?</file_content>', r'<tool_(?:use|call)>[\s\S]*?</tool_(?:use|call)>', r'(\r?\n){3,}']:
        text = re.sub(p, '\n\n' if '\\n' in p else '', text)
    return text.strip()

def _compact_tool_args(name, args):
    a = {k: v for k, v in args.items() if k != '_index'}
    for k in ('path',): # 只缩短路径
        if k in a: a[k] = os.path.basename(a[k])
    if name == 'update_working_checkpoint': s = a.get('key_info', ''); return (s[:60]+'...') if len(s)>60 else s
    s = json.dumps(a, ensure_ascii=False); return (s[:120]+'...') if len(s)>120 else s