"""CLI 入口: 简单 REPL。

用法:
    python cli.py chat                                    # 新建一个 task
    python cli.py chat --mode coding --desc "修一处 bug"  # 带元数据建任务
    python cli.py chat --resume last                      # 恢复最近一个 task
    python cli.py chat --resume 20260506_141523           # 显式 task_id
    python cli.py chat --model deepseek_v4.pro
    python cli.py tasks                                   # 列出 task
    python cli.py probe                                   # 实测对账 yaml 声称的能力
"""
from __future__ import annotations

import json
import sys

import click
from rich.prompt import Prompt
from rich.table import Table

from core.task import TaskState
from core.ui import make_console
from main import (
    ROOT,
    build_agent,
    load_config,
    resolve_workspace,
    sync_task_tokens,
    tasks_dir,
)


@click.group()
def cli() -> None:
    """zcbot - 个人任务 agent"""


@cli.command()
@click.option("--model", default=None, help="模型档案,如 deepseek_v4.flash 或 deepseek_v4.pro")
@click.option("--workspace", default=None, help="工作目录(存 tasks/ 和 sessions/)")
@click.option("--resume", default=None, help="恢复 task: 'last' 或 task_id")
@click.option("--mode", default="", help="任务模式标签(coding/ppt/proposal/...自由形式)")
@click.option("--desc", default="", help="一句话任务描述,便于 tasks 列表识别")
def chat(model: str, workspace: str, resume: str, mode: str, desc: str) -> None:
    """启动交互式 REPL。每次启动默认开新 task,用 --resume 接老的。"""
    console = make_console()
    try:
        agent, session, sid, task_state, task_dir = build_agent(
            model_name=model,
            workspace=workspace,
            console=console,
            session_id=resume,
            resume=bool(resume),
            mode=mode,
            description=desc,
        )
    except Exception as e:
        console.print(f"[err]启动失败:[/err] {type(e).__name__}: {e}")
        sys.exit(1)

    if resume:
        console.print(
            f"[ok]恢复 task[/ok] [bold]{sid}[/bold] ({len(session.messages)} 条消息) "
            f"model: [accent]{agent.caps.model_id}[/accent]"
        )
    else:
        meta_tail = ""
        if task_state.mode or task_state.description:
            meta_tail = f"  mode={task_state.mode!r}  desc={task_state.description!r}"
        console.print(
            f"[ok]新 task[/ok] [bold]{sid}[/bold] "
            f"model: [accent]{agent.caps.model_id}[/accent]{meta_tail}"
        )
    console.print(
        "[info]/exit 退出  /reset 清空对话(保留 task)  /new 开新 task  /id /status 查看  "
        "/done /abandon 改状态  /desc <文本> 设描述[/info]\n"
    )

    while True:
        try:
            user_input = Prompt.ask("[user]you[/user]", console=console)
        except (EOFError, KeyboardInterrupt):
            console.print("\n[muted]bye[/muted]")
            break

        cmd = user_input.strip()
        if cmd in ("/exit", "/quit"):
            break
        if cmd == "/reset":
            session.reset(keep_system=True)
            console.print("[info]当前 task 对话已重置(保留 system 和 state)[/info]")
            continue
        if cmd == "/new":
            try:
                agent, session, sid, task_state, task_dir = build_agent(
                    model_name=model, workspace=workspace, console=console,
                    mode=mode, description=desc,
                )
            except Exception as e:
                console.print(f"[err]新建失败:[/err] {type(e).__name__}: {e}")
                continue
            console.print(f"[ok]新 task[/ok] [bold]{sid}[/bold]")
            continue
        if cmd == "/id":
            cwd_disp = session.meta.get("cwd", "?")
            model_disp = session.meta.get("model", agent.caps.model_id)
            console.print(f"[info]task: {sid}  model: {model_disp}  cwd: {cwd_disp}[/info]")
            continue
        if cmd == "/status":
            console.print(
                f"[info]task {task_state.task_id}  status={task_state.status}  "
                f"mode={task_state.mode!r}  desc={task_state.description!r}\n"
                f"  model={task_state.model}  tokens={task_state.tokens_total} "
                f"(p={task_state.tokens_prompt}/c={task_state.tokens_completion})  "
                f"created={task_state.created_at}  updated={task_state.updated_at}[/info]"
            )
            continue
        if cmd == "/done":
            task_state.status = "completed"
            task_state.save(task_dir)
            console.print(f"[ok]task {sid} marked completed[/ok]")
            break
        if cmd == "/abandon":
            task_state.status = "abandoned"
            task_state.save(task_dir)
            console.print(f"[warn]task {sid} marked abandoned[/warn]")
            break
        if cmd.startswith("/desc"):
            new_desc = cmd[len("/desc"):].strip()
            task_state.description = new_desc
            task_state.save(task_dir)
            console.print(f"[info]description set: {new_desc!r}[/info]")
            continue
        if not cmd:
            continue

        try:
            agent.run(user_input)
        except KeyboardInterrupt:
            console.print("\n[warn]已中断本轮。下一条输入会继续这个 task。[/warn]")
        except Exception as e:
            console.print(f"[err]运行错误:[/err] {type(e).__name__}: {e}")
        finally:
            sync_task_tokens(task_state, task_dir, agent.llm)


@cli.command()
@click.option("--workspace", default=None, help="工作目录")
@click.option("--limit", default=20, help="显示最近 N 个")
@click.option("--status", default=None, help="只看某状态: active / completed / abandoned")
def tasks(workspace: str, limit: int, status: str) -> None:
    """列出已有 task(新格式,workspace/tasks/<id>/state.json)。"""
    cfg = load_config()
    ws = resolve_workspace(workspace, cfg)
    tdir = tasks_dir(ws)

    rows = []  # (mtime, task_id, status, mode, model, tokens, n_msgs, desc)
    for d in tdir.iterdir():
        if not d.is_dir():
            continue
        msg_path = d / "messages.json"
        if not msg_path.exists():
            continue
        st = TaskState.load(d)
        if st is None:
            continue
        if status and st.status != status:
            continue
        try:
            data = json.loads(msg_path.read_text(encoding="utf-8"))
            n = len(data.get("messages", []))
        except Exception:
            n = -1
        rows.append((
            msg_path.stat().st_mtime, st.task_id, st.status, st.mode,
            st.model_profile or st.model, st.tokens_total, n, st.description,
        ))
    rows.sort(reverse=True)
    rows = rows[:limit]

    if not rows:
        click.echo(f"(no tasks in {tdir})")
        return
    tbl = Table(show_lines=False)
    tbl.add_column("task id", style="bold")
    tbl.add_column("status")
    tbl.add_column("mode")
    tbl.add_column("model")
    tbl.add_column("msgs", justify="right")
    tbl.add_column("tokens", justify="right")
    tbl.add_column("desc")
    sc = {"active": "status.active", "completed": "status.completed", "abandoned": "status.abandoned"}
    for _, tid, st, mode, model, tok, n, desc in rows:
        c = sc.get(st, "info")
        d_show = desc if len(desc) <= 50 else desc[:47] + "..."
        tbl.add_row(tid, f"[{c}]{st}[/{c}]", mode, model, str(n), str(tok), d_show)
    make_console().print(tbl)


@cli.command()
@click.option("--model", default=None, help="模型档案,如 deepseek_v4.flash 或 deepseek_v4.pro")
@click.option("--long-context", is_flag=True, help="加跑 needle-in-haystack(费 token,默认关)")
def probe(model: str, long_context: bool) -> None:
    """实测对账模型 yaml 声称的能力。会调用 LLM,有 API 开销。"""
    from core.capabilities import ModelCapabilities
    from core.llm import LLM
    from core.probe import probe_capabilities

    cfg = load_config()
    name = model or cfg["default_model"]

    console = make_console()
    try:
        caps = ModelCapabilities.load(name, ROOT / cfg["models_dir"])
    except Exception as e:
        console.print(f"[err]档案加载失败:[/err] {type(e).__name__}: {e}")
        sys.exit(1)

    console.print(
        f"[bold]probing[/bold] [accent]{caps.model_id}[/accent] (profile: {name}) "
        f"[muted]long-context={long_context}[/muted]\n"
    )

    try:
        llm = LLM(caps)
    except Exception as e:
        console.print(f"[err]LLM 构造失败:[/err] {type(e).__name__}: {e}")
        sys.exit(1)

    with console.status("[muted]running probes...[/muted]", spinner="dots"):
        report = probe_capabilities(caps, llm, include_long_context=long_context)

    tbl = Table(show_lines=False)
    tbl.add_column("capability", style="bold")
    tbl.add_column("declared")
    tbl.add_column("observed")
    tbl.add_column("status")
    tbl.add_column("detail")
    color = {"ok": "ok", "mismatch": "warn", "error": "err", "skip": "muted"}
    for r in report.results:
        c = color.get(r.status, "info")
        tbl.add_row(
            r.name,
            str(r.declared),
            str(r.observed),
            f"[{c}]{r.status}[/{c}]",
            r.detail,
        )
    console.print(tbl)

    if report.has_mismatch:
        console.print(
            "\n[warn]存在能力对账差异 —— 看 detail,必要时改 "
            f"config/models/{caps.family}.yaml[/warn]"
        )
        sys.exit(2)
    if any(r.status == "error" for r in report.results):
        console.print("\n[err]部分探测出错(见 detail)[/err]")
        sys.exit(3)
    console.print("\n[ok]全部能力声明与实测一致。[/ok]")


if __name__ == "__main__":
    cli()