# -*- coding: utf-8 -*-
"""Agent service client for agent orchestration and runtime operations."""

import json
from typing import Any, AsyncIterator

import httpx
import websockets

from shared.schema.signals import AgentStateData


class AgentServiceClient:
    """Async client for the Agent Service API."""

    def __init__(self, base_url: str = "http://localhost:8000"):
        """Initialize the client with a base URL.

        Args:
            base_url: Base URL for the agent service API.
        """
        self.base_url = base_url.rstrip("/")
        self._client: httpx.AsyncClient | None = None

    async def __aenter__(self) -> "AgentServiceClient":
        self._client = httpx.AsyncClient(base_url=self.base_url, timeout=30.0)
        return self

    async def __aexit__(self, exc_type, exc_val, exc_tb) -> None:
        if self._client:
            await self._client.aclose()

    async def get_agents(self) -> dict:
        """Get list of all registered agents.

        Returns:
            Dictionary with agent list.
        """
        response = await self._client.get("/api/agents")
        response.raise_for_status()
        return response.json()

    async def get_agent_status(self, agent_id: str) -> dict:
        """Get status of a specific agent.

        Args:
            agent_id: The agent identifier.

        Returns:
            Dictionary with agent status.
        """
        response = await self._client.get(f"/api/agents/{agent_id}/status")
        response.raise_for_status()
        return response.json()

    async def post_run_daily(
        self,
        tickers: list[str],
        start_date: str,
        end_date: str,
        runtime_config: dict[str, Any] | None = None,
    ) -> dict:
        """Trigger a daily analysis run.

        Args:
            tickers: List of stock tickers to analyze.
            start_date: Start date (YYYY-MM-DD).
            end_date: End date (YYYY-MM-DD).
            runtime_config: Optional runtime configuration.

        Returns:
            Dictionary with run initiation response.
        """
        payload = {
            "tickers": tickers,
            "start_date": start_date,
            "end_date": end_date,
        }
        if runtime_config:
            payload["runtime_config"] = runtime_config
        response = await self._client.post("/api/run/daily", json=payload)
        response.raise_for_status()
        return response.json()

    async def get_run_status(self, run_id: str) -> dict:
        """Get status of a run.

        Args:
            run_id: The run identifier.

        Returns:
            Dictionary with run status.
        """
        response = await self._client.get(f"/api/runs/{run_id}/status")
        response.raise_for_status()
        return response.json()

    async def get_run_result(self, run_id: str) -> AgentStateData:
        """Get the result of a completed run.

        Args:
            run_id: The run identifier.

        Returns:
            AgentStateData with run results.
        """
        response = await self._client.get(f"/api/runs/{run_id}/result")
        response.raise_for_status()
        return AgentStateData.model_validate(response.json())

    async def get_run_logs(self, run_id: str) -> dict:
        """Get logs for a run.

        Args:
            run_id: The run identifier.

        Returns:
            Dictionary with run logs.
        """
        response = await self._client.get(f"/api/runs/{run_id}/logs")
        response.raise_for_status()
        return response.json()

    async def cancel_run(self, run_id: str) -> dict:
        """Cancel a running task.

        Args:
            run_id: The run identifier.

        Returns:
            Dictionary with cancellation confirmation.
        """
        response = await self._client.post(f"/api/runs/{run_id}/cancel")
        response.raise_for_status()
        return response.json()

    async def get_runtime_config(self) -> dict:
        """Get current runtime configuration.

        Returns:
            Dictionary with runtime config.
        """
        response = await self._client.get("/api/runtime/config")
        response.raise_for_status()
        return response.json()

    async def update_runtime_config(self, config: dict[str, Any]) -> dict:
        """Update runtime configuration.

        Args:
            config: New runtime configuration.

        Returns:
            Dictionary with updated config.
        """
        response = await self._client.put("/api/runtime/config", json=config)
        response.raise_for_status()
        return response.json()

    async def websocket_connect(
        self,
        run_id: str | None = None,
    ) -> AsyncIterator[dict]:
        """Connect to WebSocket for real-time updates.

        Args:
            run_id: Optional run ID to subscribe to.

        Yields:
            Dictionary with WebSocket messages.
        """
        ws_url = self.base_url.replace("http", "ws") + "/ws"
        if run_id:
            ws_url += f"?run_id={run_id}"

        async with websockets.connect(ws_url) as ws:
            async for message in ws:
                yield json.loads(message)

    async def get_pipeline_status(self) -> dict:
        """Get current pipeline execution status.

        Returns:
            Dictionary with pipeline status.
        """
        response = await self._client.get("/api/pipeline/status")
        response.raise_for_status()
        return response.json()

    async def trigger_pipeline(
        self,
        pipeline_type: str,
        tickers: list[str],
        config: dict[str, Any] | None = None,
    ) -> dict:
        """Trigger a pipeline execution.

        Args:
            pipeline_type: Type of pipeline to run.
            tickers: List of tickers to process.
            config: Optional pipeline configuration.

        Returns:
            Dictionary with pipeline trigger response.
        """
        payload = {"pipeline_type": pipeline_type, "tickers": tickers}
        if config:
            payload["config"] = config
        response = await self._client.post("/api/pipeline/trigger", json=payload)
        response.raise_for_status()
        return response.json()