"""PAM deploy Agent runtime.

This is intentionally runnable without langgraph installed. The same nodes can
be wired into LangGraph later via pam_deploy_graph.graph.
"""

from __future__ import annotations

import time
from pathlib import Path
from typing import Any

from .action_router import ActionRouter, build_action_backends
from .config_writer import write_config
from .constants import DEFAULT_PARAMS, GLOBAL_ACTION_SEQUENCE, REQUIRED_PARAMS
from .fake_runner import FakeActionRunner
from .mcp_runner import McpActionRunner
from .models import AgentState, ExecutionStrategy
from .script_runner import ScriptActionRunner, select_script_entry
from .skill_policy import load_skill_policy


class PamDeployAgent:
    def __init__(
        self,
        *,
        skill_path: str | Path = "doc_scripts/PAM_AUTO_DEPLY_SKILL.md",
        script_base_dir: str | Path = "doc_scripts",
        mcp_runner: McpActionRunner | None = None,
        fake_runner: FakeActionRunner | None = None,
    ) -> None:
        self.skill_policy = load_skill_policy(skill_path)
        self.script_base_dir = Path(script_base_dir)
        self.script_runner = ScriptActionRunner(self.script_base_dir)
        self.fake_runner = fake_runner or FakeActionRunner()
        self.mcp_runner = mcp_runner
        self.router = ActionRouter(
            script_runner=self.script_runner,
            mcp_runner=mcp_runner,
            fake_runner=self.fake_runner,
        )

    def normalize_params(self, params: dict[str, Any]) -> dict[str, Any]:
        normalized = {**DEFAULT_PARAMS, **params}
        missing = [key for key in REQUIRED_PARAMS if not normalized.get(key)]
        if missing:
            raise ValueError(f"Missing required params: {', '.join(missing)}")
        return normalized

    def create_state(
        self,
        *,
        params: dict[str, Any],
        execution_strategy: ExecutionStrategy = "hybrid_node_mcp",
        run_id: str | None = None,
        script_entry: str | None = None,
        config_path: str | None = None,
        trace_file_path: str | None = None,
    ) -> AgentState:
        normalized = self.normalize_params(params)
        actual_run_id = run_id or time.strftime("%Y%m%d_%H%M%S")
        actual_script_entry = script_entry or select_script_entry()
        runtime_dir = Path("runtime")
        actual_config_path = config_path or str(runtime_dir / f"config_{actual_run_id}.txt")
        actual_trace_path = trace_file_path or str(Path("logs") / f"api_trace_{actual_run_id}.log")
        write_config(normalized, actual_config_path)
        return AgentState(
            run_id=actual_run_id,
            params=normalized,
            execution_strategy=execution_strategy,
            action_backends=build_action_backends(execution_strategy),
            script_entry=actual_script_entry,
            script_base_dir=str(self.script_base_dir),
            config_path=actual_config_path,
            trace_file_path=actual_trace_path,
        )

    def preview(self, params: dict[str, Any], strategy: ExecutionStrategy = "hybrid_node_mcp") -> str:
        normalized = self.normalize_params(params)
        routes = build_action_backends(strategy)
        if strategy == "hybrid_node_mcp":
            home_backend = "脚本 action"
            node_backend = "MCP"
        elif strategy == "script_only":
            home_backend = "脚本 action"
            node_backend = "脚本 action"
        else:
            home_backend = "fake"
            node_backend = "fake"
        lines = [
            "## PAM 部署预演",
            "",
            f"- 执行策略: {strategy}",
            f"- PAM_HOME: {home_backend}",
            f"- PAM_NODE: {node_backend}",
            f"- 机场: {normalized['AIRPORT_CODE']}",
            f"- 应用: {normalized['APP_NAME']}",
            f"- 模块: {normalized['MODULE_NAME']}",
            f"- 版本: {normalized['VERSION_NUMBER']}",
            "",
            "| action | backend |",
            "| --- | --- |",
        ]
        for action in GLOBAL_ACTION_SEQUENCE:
            lines.append(f"| `{action}` | `{routes[action]}` |")
        return "\n".join(lines)

    def run_global_flow(self, state: AgentState) -> AgentState:
        for action in GLOBAL_ACTION_SEQUENCE:
            kwargs: dict[str, Any] = {}
            if action == "publish-version":
                kwargs["hash_code"] = state.hash_code
            result = self.router.run_action(state, action, **kwargs)
            state.events.append(
                {
                    "type": "ACTION_DONE" if result.ok else "ACTION_FAIL",
                    "stage": action,
                    "backend": result.backend,
                    "message": result.error_summary or "ok",
                }
            )
            if not result.ok:
                state.last_failed_step = action
                raise RuntimeError(f"{action} failed: {result.error_summary}")
            self._apply_result(state, action, result.values)
            state.completed_global_steps.append(action)
            state.last_success_step = action
        return state

    def _apply_result(self, state: AgentState, action: str, values: dict[str, Any]) -> None:
        if "HASH_CODE" in values:
            state.hash_code = str(values["HASH_CODE"])
        if "NODE_URL" in values:
            state.node_url = str(values["NODE_URL"])
        if action == "get-online-ips":
            ips = values.get("IP", [])
            if isinstance(ips, str):
                ips = [ips]
            state.online_ips = list(ips)
            state.target_ips = state.target_ips or state.online_ips.copy()