"""Agent Spawner — 异步 spawn Full Agent / Subagent

Full Agent: asyncio.create_subprocess_exec（异步非阻塞，不 await 完成）
Subagent: 占位（实际通过 OpenClaw Gateway API sessions_spawn，F17 完善）
"""

from __future__ import annotations

import asyncio
import json
import logging
import uuid
from datetime import datetime
from pathlib import Path
from typing import Any, Dict, Optional

from src.blackboard.db import get_connection, init_db

logger = logging.getLogger("moziplus-v2.spawner")


# ── Prompt 模板 ──

SPAWN_PROMPT_TEMPLATE = """你收到一个 v2.6 黑板任务。请严格按照下面的步骤执行。

## 任务信息

- 项目: {project_id}
- 任务ID: {task_id}
- 标题: {title}
- 描述: {description}
- 类型: {task_type}
- 优先级: {priority}
- 必要条件: {must_haves}

{retry_context}

## 状态机（你必须遵守的状态流转）

```
pending → claimed → working → review → done
                        │         │
                        │         └→ pending（驳回重做）
                        ├──→ failed
                        ├──→ blocked
                        └──→ cancelled
```

你当前处于 **{current_status}** 状态。

## 执行步骤

### 步骤 1: 开始工作

立即调 API 标记你已开始：
```bash
curl -X POST http://{api_host}:{api_port}/api/projects/{project_id}/tasks/{task_id}/status \
  -H 'Content-Type: application/json' \
  -d '{{"status": "working", "agent": "{agent_id}"}}'
```

### 步骤 2: 执行任务

根据任务描述完成你的工作（编码/回测/数据检查/审查等）。

### 步骤 3: 写入产出

⚠️ 这一步是必须的！不写产出 = 任务没完成。

```bash
curl -X POST http://{api_host}:{api_port}/api/projects/{project_id}/tasks/{task_id}/outputs \
  -H 'Content-Type: application/json' \
  -d '{{"agent": "{agent_id}", "type": "<产出类型>", "title": "<产出标题>", "content": "<你的产出内容>", "summary": "<简要说明>"}}'
```

**type 必须是以下之一**: code, document, data, config, other

如果产出太长，可以写文件后用路径引用：
```bash
curl -X POST http://{api_host}:{api_port}/api/projects/{project_id}/tasks/{task_id}/outputs \
  -H 'Content-Type: application/json' \
  -d '{{"agent": "{agent_id}", "type": "code", "title": "main.py", "content_path": "/path/to/file.py", "summary": "主程序"}}'
```

### 步骤 4: 提交审查或标记失败

✅ 成功完成：
```bash
curl -X POST http://{api_host}:{api_port}/api/projects/{project_id}/tasks/{task_id}/status \
  -H 'Content-Type: application/json' \
  -d '{{"status": "review", "agent": "{agent_id}"}}'
```

❌ 无法完成：
```bash
curl -X POST http://{api_host}:{api_port}/api/projects/{project_id}/tasks/{task_id}/status \
  -H 'Content-Type: application/json' \
  -d '{{"status": "failed", "agent": "{agent_id}", "detail": "<失败原因>"}}'
```

## Fallback（API 调用失败时）

如果 API 失败 2 次，尝试：
```bash
curl -X POST http://{api_host}:{api_port}/api/projects/{project_id}/tasks/{task_id}/status \
  -H 'Content-Type: application/json' \
  -d '{{"status": "failed", "agent": "{agent_id}", "detail": "API回写失败，产出在本地文件"}}'
```

## 参考链接
- 查看任务完整信息: GET http://{api_host}:{api_port}/api/projects/{project_id}/tasks/{task_id}?expand=all
- 写评论: POST http://{api_host}:{api_port}/api/projects/{project_id}/tasks/{task_id}/comments {{"author": "{agent_id}", "body": "..."}}
- 完整 API 契约: docs/design/agent-api-contract.md
"""


class AgentSpawner:
    """Agent spawn 管理"""

    def __init__(
        self,
        db_path: Optional[Path] = None,
        agent_timeout: float = 630.0,
        dry_run: bool = False,
        api_host: str = "127.0.0.1",
        api_port: int = 8083,
        bootstrap_builder: Optional[Any] = None,
        gateway_timeout: float = 600.0,
        max_retries: int = 3,
        max_monitor_timeouts: int = 3,
    ):
        """
        Args:
            db_path: 项目黑板 DB 路径（用于写 task_attempts）
            agent_timeout: Agent 超时秒数
            dry_run: 测试模式，不实际 spawn
            api_host: API 地址（供 Agent 回写）
            api_port: API 端口（供 Agent 回写）
        """
        self.db_path = db_path
        self.agent_timeout = agent_timeout
        self.dry_run = dry_run
        self.api_host = api_host
        self.api_port = api_port
        self.bootstrap_builder = bootstrap_builder
        self.gateway_timeout = gateway_timeout
        self.max_retries = max_retries
        self.max_monitor_timeouts = max_monitor_timeouts

        # session 注册表 {session_id: {...}}
        self._sessions: Dict[str, Dict[str, Any]] = {}

    @property
    def active_sessions(self) -> Dict[str, Dict[str, Any]]:
        """当前活跃的 spawn sessions"""
        return {sid: s for sid, s in self._sessions.items()
                if s.get("status") == "running"}

    def build_spawn_message(
        self,
        task_id: str,
        title: str,
        description: str,
        task_type: str = "",
        priority: int = 5,
        must_haves: str = "",
        project_id: str = "",
        agent_id: str = "",
        current_status: str = "claimed",
        retry_context: str = "",
        task: Optional[Any] = None,
        project_config: Optional[Dict[str, Any]] = None,
    ) -> str:
        """构建 Agent spawn 的消息（优先用 BootstrapBuilder，fallback 用模板）

        Args:
            current_status: 任务当前状态（动态生成状态机提示）
            retry_context: 重试上下文（前轮产出摘要 + 审查意见）
            task: Task 对象（BootstrapBuilder 用）
            project_config: 项目配置（BootstrapBuilder 用）
        """
        # 尝试 BootstrapBuilder
        if self.bootstrap_builder and task is not None:
            try:
                bootstrap_prompt = self.bootstrap_builder.build_for_task(
                    task=task,
                    role="executor",
                    project_config=project_config,
                )
                # 在 bootstrap 后追加操作指令（状态机 + API 回写）
                api_section = self._build_api_section(
                    project_id, task_id, agent_id)
                return bootstrap_prompt + "\n\n---\n\n" + api_section
            except Exception:
                logger.exception("BootstrapBuilder failed, falling back to template")

        # Fallback: 使用硬编码模板
        return SPAWN_PROMPT_TEMPLATE.format(
            project_id=project_id,
            task_id=task_id,
            title=title,
            description=description or "（无描述）",
            task_type=task_type or "general",
            priority=priority,
            must_haves=must_haves or "（无）",
            agent_id=agent_id,
            api_host=self.api_host,
            api_port=self.api_port,
            current_status=current_status or "claimed",
            retry_context=retry_context or "",
        )

    def _build_api_section(self, project_id: str, task_id: str,
                            agent_id: str) -> str:
        """构建 API 回写操作指令（BootstrapBuilder 模式下补充）"""
        return f"""## 操作指令

### 状态回写
开始工作：
```bash
curl -X POST http://{self.api_host}:{self.api_port}/api/projects/{project_id}/tasks/{task_id}/status \
  -H 'Content-Type: application/json' \
  -d '{{"status": "working", "agent": "{agent_id}"}}'
```

### 写入产出
```bash
curl -X POST http://{self.api_host}:{self.api_port}/api/projects/{project_id}/tasks/{task_id}/outputs \
  -H 'Content-Type: application/json' \
  -d '{{"agent": "{agent_id}", "type": "<类型>", "title": "<标题>", "content": "<内容>", "summary": "<摘要>"}}'
```

### 完成后
成功：status → "review" | 失败：status → "failed"
"""

    async def spawn_full_agent(
        self,
        agent_id: str,
        message: str,
        new_session: bool = False,
        task_id: Optional[str] = None,
        on_complete: Optional[Any] = None,
        use_main_session: bool = False,
        task_db_path: Optional[Path] = None,
        reuse_session_id: Optional[str] = None,
    ) -> str:
        """Spawn Full Agent（异步非阻塞）

        Args:
            on_complete: async callback(agent_id, outcome) — Agent 完成后调用
            use_main_session: True = 投递到主 Agent session（不传 --session-id）
            reuse_session_id: 传入指定 session-id 复用（用于续杯）

        Returns:
            session_id
        """
        # Session 策略：main > reuse > new
        if use_main_session:
            session_id = None
        elif reuse_session_id:
            session_id = reuse_session_id
        else:
            session_id = str(uuid.uuid4())

        if self.dry_run:
            logger.info("[DRY RUN] Would spawn agent %s (session=%s)", agent_id, session_id or "main")
            self._register_session(session_id or "main", agent_id, task_id, pid=None)
            return session_id or "main"

        cmd = [
            "openclaw", "agent",
            "--agent", agent_id,
        ]
        if session_id:
            cmd.extend(["--session-id", session_id])
        cmd.extend([
            "--message", message,
            "--json",
            "--timeout", str(int(self.gateway_timeout)),
        ])

        try:
            proc = await asyncio.create_subprocess_exec(
                *cmd,
                stdout=asyncio.subprocess.PIPE,
                stderr=asyncio.subprocess.PIPE,
            )
            self._register_session(session_id, agent_id, task_id, proc.pid)
            logger.info("Spawned agent %s (session=%s, pid=%d)",
                        agent_id, session_id, proc.pid)

            # Schedule monitor
            asyncio.create_task(
                self._monitor_process(session_id, proc, agent_id, task_id,
                                      on_complete=on_complete,
                                      db_path=task_db_path or self.db_path)
            )

            return session_id

        except Exception as e:
            logger.exception("Failed to spawn agent %s", agent_id)
            self._record_attempt(task_id, agent_id, "spawn_failed", error=str(e))
            raise

    async def spawn_subagent(
        self,
        task_description: str,
        task_id: Optional[str] = None,
    ) -> str:
        """Spawn Subagent（占位，实际通过 Gateway API）

        Returns:
            session_id
        """
        session_id = str(uuid.uuid4())

        if self.dry_run:
            logger.info("[DRY RUN] Would spawn subagent (session=%s)", session_id)
            self._register_session(session_id, "subagent", task_id, pid=None)
            return session_id

        # TODO: F17 通过 Gateway API sessions_spawn 实现
        logger.info("Subagent spawn (session=%s) - placeholder", session_id)
        self._register_session(session_id, "subagent", task_id, pid=None)
        return session_id

    # ── 续杯 Prompt 模板 ──

    RETRY_PROMPT = """你收到一个续杯提醒。你的任务在执行过程中被中断了。

## 任务信息

- 项目: {project_id}
- 任务ID: {task_id}
- 标题: {title}
- 续杯次数: 第 {retry_count} 次（上限 {max_retries} 次）

请检查 session 历史中你之前做了什么，然后继续未完成的工作。

## 操作指令

### 查看任务当前状态
```bash
curl http://{api_host}:{api_port}/api/projects/{project_id}/tasks/{task_id}?expand=all
```

### 如果已经完成，标记 review
```bash
curl -X POST http://{api_host}:{api_port}/api/projects/{project_id}/tasks/{task_id}/status \\
  -H 'Content-Type: application/json' \\
  -d '{{"status": "review", "agent": "{agent_id}"}}'
```

### 写入产出（如果之前没写）
```bash
curl -X POST http://{api_host}:{api_port}/api/projects/{project_id}/tasks/{task_id}/outputs \\
  -H 'Content-Type: application/json' \\
  -d '{{"agent": "{agent_id}", "type": "<类型>", "title": "<标题>", "content": "<内容>", "summary": "<摘要>"}}'
```

### 如果无法解决，标记失败
```bash
curl -X POST http://{api_host}:{api_port}/api/projects/{project_id}/tasks/{task_id}/status \\
  -H 'Content-Type: application/json' \\
  -d '{{"status": "failed", "agent": "{agent_id}", "detail": "<失败原因>"}}'
```

{fallback_hint}"""

    async def _monitor_process(
        self,
        session_id: Optional[str],
        proc: asyncio.subprocess.Process,
        agent_id: str,
        task_id: Optional[str],
        on_complete: Optional[Any] = None,
        db_path: Optional[Path] = None,
        monitor_timeout_count: int = 0,
    ) -> None:
        """监控子进程全生命周期（设计文档 spawner-monitor-design.md）"""
        stdout_chunks: list = []
        stderr_chunks: list = []

        try:
            # ── 等待进程退出 + 流式读取 ──
            async def _read_streams():
                async def _read_out():
                    while True:
                        chunk = await proc.stdout.read(4096)
                        if not chunk:
                            break
                        stdout_chunks.append(chunk)

                async def _read_err():
                    while True:
                        chunk = await proc.stderr.read(4096)
                        if not chunk:
                            break
                        stderr_chunks.append(chunk)

                await asyncio.gather(_read_out(), _read_err(), proc.wait())

            await asyncio.wait_for(_read_streams(), timeout=self.agent_timeout)
            # ── 情况 A：进程退出 ──
            exit_code = proc.returncode
            await self._handle_exit(
                session_id, agent_id, task_id, exit_code,
                stdout_chunks, stderr_chunks, on_complete, db_path
            )

        except asyncio.TimeoutError:
            # ── 情况 B：monitor timeout（进程没退出）──
            logger.warning("Agent %s monitor timeout (session=%s, count=%d/%d)",
                           agent_id, session_id, monitor_timeout_count + 1,
                           self.max_monitor_timeouts)
            await self._handle_monitor_timeout(
                session_id, agent_id, task_id, proc,
                on_complete, db_path, stderr_chunks, monitor_timeout_count
            )

    async def _handle_exit(self, session_id, agent_id, task_id, exit_code,
                           stdout_chunks, stderr_chunks, on_complete, db_path):
        """情况 A：进程退出后的处理"""
        stdout_text = b"".join(stdout_chunks).decode("utf-8", errors="replace")
        stderr_text = b"".join(stderr_chunks).decode("utf-8", errors="replace")

        # 解析 stdout JSON
        meta = self._parse_stdout_json(stdout_text)

        # 查任务实际状态
        task_status = self._get_task_status(db_path, task_id) if task_id else None

        # 分类
        cls = self._classify_outcome(exit_code, meta, stderr_text, task_status)
        outcome = cls["outcome"]

        # 更新 session 状态
        sid = session_id or "main"
        if sid in self._sessions:
            self._sessions[sid]["status"] = outcome
            self._sessions[sid]["completed_at"] = datetime.utcnow().isoformat()
            self._sessions[sid]["exit_code"] = exit_code
            if meta:
                self._sessions[sid]["meta"] = meta

        # 记录 attempt
        self._record_attempt(
            task_id, agent_id, outcome, exit_code=exit_code,
            db_path=db_path,
            metadata={
                "transport": meta.get("transport"),
                "fallback_reason": meta.get("fallbackReason"),
                "duration_ms": meta.get("durationMs"),
                "task_status_at_exit": task_status,
            }
        )

        logger.info("Agent %s finished (session=%s, outcome=%s, exit=%d, task_status=%s)",
                    agent_id, session_id, outcome, exit_code, task_status)

        if cls["release_counter"]:
            await self._do_on_complete_async(on_complete, agent_id, outcome)
        elif cls["should_retry"]:
            # 续杯：先释放 counter，再 spawn
            # on_complete 不传入续杯链（避免 double release）
            # 续杯 Agent 退出后由 ticker 自然发现状态变化
            if on_complete:
                on_complete(agent_id, "retry_release")
            await self._do_retry(
                session_id, agent_id, task_id, None, db_path,
                cls.get("retry_field", "retry_count")
            )
        # else: 暂时性失败(A8/A9/A11)，不 release，不 retry，等 ticker

    async def _handle_monitor_timeout(self, session_id, agent_id, task_id, proc,
                                      on_complete, db_path, stderr_chunks,
                                      monitor_timeout_count):
        """情况 B：monitor timeout"""
        # 读已缓冲的 stderr
        try:
            remaining = await asyncio.wait_for(proc.stderr.read(), timeout=2.0)
            if remaining:
                stderr_chunks.append(remaining)
        except Exception:
            pass

        stderr_text = b"".join(stderr_chunks).decode("utf-8", errors="replace")

        # 检查 session 状态
        state = self._check_session_state(agent_id)

        # B1: 假死
        if state.get("status") == "running" and not state.get("lock_pid_alive", True):
            logger.error("Agent %s session stuck (session=%s, lock PID dead)",
                         agent_id, session_id)
            self._mark_task(db_path, task_id, "failed",
                            {"reason": "session_stuck", "diagnostics": state})
            await self._do_on_complete_async(on_complete, agent_id, "session_stuck")
            return

        # B2/B3/B4: 进程还活着
        # B2: compact 进行中 — 不计入 monitor timeout 计数，继续等
        if state.get("recent_compact"):
            logger.info("Agent %s recent compaction detected, extending patience "
                        "(session=%s, monitor=%d/%d)",
                        agent_id, session_id, monitor_timeout_count, self.max_monitor_timeouts)
            # 不递增 monitor_timeout_count，但最多额外等 max_monitor_timeouts 次
            # 用独立计数器防止无限等待
            compact_wait_count = getattr(self, f"_compact_waits_{task_id}", 0) + 1
            setattr(self, f"_compact_waits_{task_id}", compact_wait_count)
            if compact_wait_count >= self.max_monitor_timeouts:
                logger.error("Agent %s max compact waits reached (session=%s, count=%d)",
                             agent_id, session_id, compact_wait_count)
                self._mark_task(db_path, task_id, "failed", {
                    "reason": "compact_hanging",
                    "compact_wait_count": compact_wait_count,
                    "diagnostics": state,
                })
                await self._do_on_complete_async(on_complete, agent_id, "compact_hanging")
                return
            # 继续等
            asyncio.create_task(
                self._monitor_process(
                    session_id, proc, agent_id, task_id,
                    on_complete=on_complete, db_path=db_path,
                    monitor_timeout_count=monitor_timeout_count,
                )
            )
            return

        # B3/B4: 无 compact，正常计数
        monitor_timeout_count += 1
        if monitor_timeout_count >= self.max_monitor_timeouts:
            logger.error("Agent %s max monitor timeouts (session=%s, count=%d)",
                         agent_id, session_id, monitor_timeout_count)
            self._mark_task(db_path, task_id, "failed", {
                "reason": "max_monitor_timeouts",
                "count": monitor_timeout_count,
                "elapsed_seconds": monitor_timeout_count * int(self.agent_timeout),
                "diagnostics": state,
            })
            await self._do_on_complete_async(on_complete, agent_id, "max_monitor_timeouts")
            return

        # 未超限：继续等（不 release counter）
        logger.info("Agent %s continuing monitor (session=%s, count=%d/%d)",
                    agent_id, session_id, monitor_timeout_count, self.max_monitor_timeouts)
        asyncio.create_task(
            self._monitor_process(
                session_id, proc, agent_id, task_id,
                on_complete=on_complete, db_path=db_path,
                monitor_timeout_count=monitor_timeout_count,
            )
        )

    async def _do_retry(self, session_id, agent_id, task_id, on_complete,
                        db_path, retry_field="retry_count"):
        """续杯：用同一 session_id 再 spawn 一次"""
        retry_counts = self._get_retry_counts(db_path, task_id)
        count = retry_counts.get(retry_field, 0) + 1

        # 更新计数器并写回最新 attempt 的 metadata
        retry_counts[retry_field] = count
        self._update_retry_counts(db_path, task_id, retry_counts)

        if count >= self.max_retries:
            logger.error("Agent %s max retries (session=%s, %s=%d)",
                         agent_id, session_id, retry_field, count)
            self._mark_task(db_path, task_id, "failed", {
                "reason": f"max_{retry_field}", "count": count,
            })
            await self._do_on_complete_async(on_complete, agent_id, "max_retries")
            return

        logger.info("Agent %s retry %s=%d/%d (session=%s)",
                    agent_id, retry_field, count, self.max_retries, session_id)

        # 构建续杯 message
        task_info = self._get_task_info(db_path, task_id) or {}
        fallback_hint = "\n⚠️ 之前有 fallback 执行，请调 API 检查任务当前状态和已有产出，确认是否已完成。" if retry_field == "retry_count" else ""
        message = self.RETRY_PROMPT.format(
            project_id=task_info.get("project_id", ""),
            task_id=task_id or "",
            title=task_info.get("title", ""),
            retry_count=count,
            max_retries=self.max_retries,
            api_host=self.api_host,
            api_port=self.api_port,
            agent_id=agent_id,
            fallback_hint=fallback_hint,
        )

        # 续杯 spawn（counter 已在 _handle_exit 释放）
        try:
            await self.spawn_full_agent(
                agent_id=agent_id,
                message=message,
                task_id=task_id,
                on_complete=on_complete,
                reuse_session_id=session_id,
                task_db_path=db_path,
            )
        except Exception:
            logger.exception("Retry spawn failed for %s", agent_id)
            await self._do_on_complete_async(on_complete, agent_id, "retry_spawn_failed")

    # ── 辅助方法 ──

    @staticmethod
    def _parse_stdout_json(stdout_text: str) -> dict:
        """解析 openclaw agent --json 的 stdout 输出"""
        text = stdout_text.strip()
        if not text:
            return {}
        try:
            data = json.loads(text)
            return data.get("meta", {})
        except json.JSONDecodeError:
            # 多行输出，找最后一个 JSON
            for line in reversed(text.splitlines()):
                try:
                    data = json.loads(line)
                    return data.get("meta", {})
                except json.JSONDecodeError:
                    continue
            return {}

    @staticmethod
    def _get_task_status(db_path: Optional[Path], task_id: Optional[str]) -> Optional[str]:
        """查任务实际 API 状态"""
        if not db_path or not task_id:
            return None
        try:
            conn = get_connection(db_path)
            try:
                row = conn.execute(
                    "SELECT status FROM tasks WHERE id=?", (task_id,)
                ).fetchone()
                return row["status"] if row else None
            finally:
                conn.close()
        except Exception:
            return None

    @staticmethod
    def _get_task_info(db_path: Optional[Path], task_id: Optional[str]) -> Optional[dict]:
        """查任务基本信息"""
        if not db_path or not task_id:
            return None
        try:
            conn = get_connection(db_path)
            try:
                row = conn.execute(
                    "SELECT id, title, status FROM tasks WHERE id=?", (task_id,)
                ).fetchone()
                if not row:
                    return None
                info = dict(row)
                # 从 db_path 推断 project_id: data/<project_id>/blackboard.db
                info["project_id"] = db_path.parent.name
                return info
            finally:
                conn.close()
        except Exception:
            return None

    @staticmethod
    def _check_session_state(agent_id: str) -> dict:
        """检查 sessions.json 和 lock 状态"""
        result = {"status": "unknown", "lock_pid": None, "lock_pid_alive": False, "recent_compact": False}
        sessions_path = Path.home() / ".openclaw" / "agents" / agent_id / "sessions" / "sessions.json"
        if not sessions_path.exists():
            return result
        try:
            with open(sessions_path) as f:
                sessions = json.load(f)
            main_key = f"agent:{agent_id}:main"
            main_session = sessions.get(main_key, {})
            result["status"] = main_session.get("status", "unknown")

            # 检查 lock
            sf = main_session.get("sessionFile", "")
            if sf:
                lock_path = Path(sf + ".lock")
                if lock_path.exists():
                    try:
                        lock_data = json.loads(lock_path.read_text())
                        pid = lock_data.get("pid")
                        result["lock_pid"] = pid
                        if pid:
                            import os
                            try:
                                os.kill(pid, 0)
                                result["lock_pid_alive"] = True
                            except ProcessLookupError:
                                result["lock_pid_alive"] = False
                    except Exception:
                        pass

            # 最近 5 分钟的 compact
            import time
            now_ms = time.time() * 1000
            for cp in main_session.get("compactionCheckpoints", []):
                if (now_ms - cp.get("createdAt", 0)) < 300_000:
                    result["recent_compact"] = True
                    break
        except Exception:
            pass
        return result

    @staticmethod
    def _classify_outcome(exit_code: int, meta: dict, stderr_text: str,
                          task_status: Optional[str]) -> dict:
        """分类退出原因，返回处理策略"""
        transport = meta.get("transport", "")
        fallback_reason = meta.get("fallbackReason")

        # 终态判断
        terminal_statuses = {"done", "review", "failed", "cancelled"}
        is_terminal = task_status in terminal_statuses

        # A4: 任务自己 failed
        if task_status == "failed":
            return {"outcome": "agent_failed", "release_counter": True,
                    "should_retry": False}

        # A1: 正常完成
        if exit_code == 0 and transport != "embedded" and is_terminal:
            return {"outcome": "completed", "release_counter": True,
                    "should_retry": False}

        # A5/A6: fallback
        if exit_code == 0 and transport == "embedded":
            if is_terminal:
                return {"outcome": "fallback_timeout", "release_counter": True,
                        "should_retry": False}
            # fallback 完成但任务没 done → 续杯
            return {"outcome": "fallback_timeout", "release_counter": False,
                    "should_retry": True, "retry_field": "retry_count"}

        # A2/A3: Gateway timeout（任务没完成）
        if exit_code == 0 and not is_terminal:
            return {"outcome": "gateway_timeout", "release_counter": False,
                    "should_retry": True, "retry_field": "retry_count"}

        # A7: 认证失败
        if exit_code != 0 and any(kw in stderr_text for kw in ["401", "403", "unauthorized", "auth"]):
            return {"outcome": "auth_failed", "release_counter": True,
                    "should_retry": False}

        # A8: Gateway 不可达
        if exit_code != 0 and any(kw in stderr_text for kw in ["ECONNREFUSED", "ETIMEDOUT", "gateway closed", "ECONNRESET"]):
            return {"outcome": "gateway_unreachable", "release_counter": True,
                    "should_retry": False,  # 让 ticker 自然重试
                    "count_field": "connect_retry_count"}

        # A9: API 错误
        if exit_code != 0 and any(kw in stderr_text for kw in ["rate_limit", "500", "503", "API error"]):
            return {"outcome": "api_error", "release_counter": True,
                    "should_retry": False,
                    "count_field": "api_retry_count"}

        # A10: compact 失败
        if exit_code != 0 and any(kw in stderr_text for kw in ["compaction-diag", "context-overflow", "timeout-compaction"]):
            return {"outcome": "compact_failed", "release_counter": False,
                    "should_retry": True, "retry_field": "retry_count"}

        # A11: Lock 冲突
        if exit_code != 0 and any(kw in stderr_text for kw in ["lock", "busy", "concurrent", "lane task error"]):
            return {"outcome": "lock_conflict", "release_counter": True,
                    "should_retry": False,
                    "count_field": "lock_retry_count"}

        # A12: 其他
        return {"outcome": "agent_error", "release_counter": False,
                "should_retry": True, "retry_field": "retry_count"}

    @staticmethod
    def _get_retry_counts(db_path: Optional[Path], task_id: Optional[str]) -> dict:
        """从最新 task_attempt 的 metadata 读计数器"""
        defaults = {"retry_count": 0, "connect_retry_count": 0,
                    "api_retry_count": 0, "lock_retry_count": 0,
                    "monitor_timeout_count": 0}
        if not db_path or not task_id:
            return defaults
        try:
            conn = get_connection(db_path)
            try:
                row = conn.execute(
                    "SELECT metadata FROM task_attempts WHERE task_id=? ORDER BY attempt_number DESC LIMIT 1",
                    (task_id,)
                ).fetchone()
                if row and row["metadata"]:
                    stored = json.loads(row["metadata"])
                    for k in defaults:
                        if k in stored:
                            defaults[k] = stored[k]
            finally:
                conn.close()
        except Exception:
            pass
        return defaults

    def _mark_task(self, db_path: Optional[Path], task_id: Optional[str],
                   status: str, detail: Optional[dict] = None):
        """标记任务状态（用于 failed/escalate）"""
        if not db_path or not task_id:
            return
        try:
            conn = get_connection(db_path)
            try:
                conn.execute("BEGIN IMMEDIATE")
                conn.execute(
                    "UPDATE tasks SET status=?, completed_at=datetime('now') WHERE id=?",
                    (status, task_id)
                )
                if detail:
                    conn.execute(
                        "INSERT INTO events (task_id, agent, event_type, detail) VALUES (?,?,?,?)",
                        (task_id, "daemon", status, json.dumps(detail, ensure_ascii=False))
                    )
                conn.commit()
            finally:
                conn.close()
        except Exception:
            logger.exception("Failed to mark task %s as %s", task_id, status)

    @staticmethod
    def _do_on_complete(on_complete, agent_id, outcome):
        """执行 on_complete 回调（同步+异步兼容）"""
        if not on_complete:
            return
        try:
            result = on_complete(agent_id, outcome)
            if asyncio.iscoroutine(result):
                # 注意：这里是同步调用的，不能 await
                # 在 _monitor_process 的 async 上下文中应该用 await
                pass
        except Exception:
            pass

    async def _do_on_complete_async(self, on_complete, agent_id, outcome):
        """异步执行 on_complete 回调"""
        if not on_complete:
            return
        try:
            result = on_complete(agent_id, outcome)
            if asyncio.iscoroutine(result):
                await result
        except Exception:
            logger.warning("on_complete callback failed for %s", agent_id, exc_info=True)

    def _register_session(
        self,
        session_id: str,
        agent_id: str,
        task_id: Optional[str],
        pid: Optional[int],
    ) -> None:
        """注册 spawn session"""
        self._sessions[session_id] = {
            "agent_id": agent_id,
            "task_id": task_id,
            "pid": pid,
            "status": "running",
            "started_at": datetime.utcnow().isoformat(),
            "completed_at": None,
        }

    def _record_attempt(
        self,
        task_id: Optional[str],
        agent_id: str,
        outcome: str,
        exit_code: Optional[int] = None,
        error: Optional[str] = None,
        metadata: Optional[dict] = None,
        db_path: Optional[Path] = None,
    ) -> None:
        """记录 task_attempt"""
        effective_db = db_path or self.db_path
        if not task_id or not effective_db:
            return

        try:
            conn = get_connection(effective_db)
            try:
                conn.execute("BEGIN IMMEDIATE")
                row = conn.execute(
                    "SELECT MAX(attempt_number) as max_a FROM task_attempts WHERE task_id=?",
                    (task_id,),
                ).fetchone()
                attempt_number = (row["max_a"] or 0) + 1

                meta = metadata or {}
                if error:
                    meta["error"] = error
                conn.execute(
                    "INSERT INTO task_attempts "
                    "(task_id, attempt_number, agent, outcome, exit_code, metadata, completed_at) "
                    "VALUES (?,?,?,?,?,?,datetime('now'))",
                    (task_id, attempt_number, agent_id, outcome,
                     exit_code, json.dumps(meta)),
                )
                conn.execute(
                    "INSERT INTO events (task_id, agent, event_type, detail) VALUES (?,?,?,?)",
                    (task_id, agent_id,
                     "agent_completed" if outcome == "completed" else "daemon_tick",
                     json.dumps({"outcome": outcome, "attempt": attempt_number})),
                )
                conn.commit()
            finally:
                conn.close()
        except Exception:
            logger.exception("Failed to record attempt for task %s", task_id)

    def get_session(self, session_id: str) -> Optional[Dict[str, Any]]:
        """获取 session 信息"""
        return self._sessions.get(session_id)

    def cleanup_session(self, session_id: str) -> None:
        """清理 session"""
        if session_id in self._sessions:
            del self._sessions[session_id]