"""获取搜索结果工具"""

import json
import re
from typing import List, Optional, Type

from pydantic import BaseModel, Field

from app.agent.tools.base import MoviePilotTool
from app.agent.tools.tags import ToolTag
from app.chain.search import SearchChain
from app.log import logger
from ._torrent_search_utils import (
    TORRENT_RESULT_LIMIT,
    build_filter_options,
    filter_contexts,
    simplify_search_result,
)


class GetSearchResultsInput(BaseModel):
    """获取搜索结果工具的输入参数模型"""

    explanation: Optional[str] = Field(None,
        description="Clear explanation of why this tool is being used in the current context",)
    site: Optional[List[str]] = Field(None, description="Site name filters")
    season: Optional[List[str]] = Field(None, description="Season or episode filters")
    free_state: Optional[List[str]] = Field(None, description="Promotion state filters")
    video_code: Optional[List[str]] = Field(None, description="Video codec filters")
    edition: Optional[List[str]] = Field(None, description="Edition filters")
    resolution: Optional[List[str]] = Field(None, description="Resolution filters")
    release_group: Optional[List[str]] = Field(
        None, description="Release group filters"
    )
    title_pattern: Optional[str] = Field(
        None,
        description="Regular expression pattern to filter torrent titles (e.g., '4K|2160p|UHD', '1080p.*BluRay')",
    )
    show_filter_options: Optional[bool] = Field(
        False,
        description="Whether to return only optional filter options for re-checking available conditions",
    )
    page: Optional[int] = Field(
        1,
        description="Page number for pagination (default: 1, each page returns up to 50 results)",
    )


class GetSearchResultsTool(MoviePilotTool):
    name: str = "get_search_results"
    tags: list[str] = [
        ToolTag.Read,
        ToolTag.Resource,
    ]
    description: str = "Get cached torrent search results from search_torrents with optional filters. Supports pagination with up to 50 results per page."
    args_schema: Type[BaseModel] = GetSearchResultsInput

    def get_tool_message(self, **kwargs) -> Optional[str]:
        return "获取搜索结果"

    async def run(
        self,
        site: Optional[List[str]] = None,
        season: Optional[List[str]] = None,
        free_state: Optional[List[str]] = None,
        video_code: Optional[List[str]] = None,
        edition: Optional[List[str]] = None,
        resolution: Optional[List[str]] = None,
        release_group: Optional[List[str]] = None,
        title_pattern: Optional[str] = None,
        show_filter_options: bool = False,
        page: Optional[int] = 1,
        **kwargs,
    ) -> str:
        page = max(1, page or 1)
        logger.info(
            f"执行工具: {self.name}, 参数: site={site}, season={season}, free_state={free_state}, video_code={video_code}, edition={edition}, resolution={resolution}, release_group={release_group}, title_pattern={title_pattern}, show_filter_options={show_filter_options}, page={page}"
        )

        try:
            items = await SearchChain().async_last_search_results() or []
            if not items:
                return "没有可用的搜索结果，请先使用 search_torrents 搜索"

            if show_filter_options:
                payload = {
                    "total_count": len(items),
                    "filter_options": build_filter_options(items),
                }
                return json.dumps(payload, ensure_ascii=False, indent=2)

            regex_pattern = None
            if title_pattern:
                try:
                    regex_pattern = re.compile(title_pattern, re.IGNORECASE)
                except re.error as e:
                    logger.warning(f"正则表达式编译失败: {title_pattern}, 错误: {e}")
                    return f"正则表达式格式错误: {str(e)}"

            filtered_items = filter_contexts(
                items=items,
                site=site,
                season=season,
                free_state=free_state,
                video_code=video_code,
                edition=edition,
                resolution=resolution,
                release_group=release_group,
            )
            if regex_pattern:
                filtered_items = [
                    item
                    for item in filtered_items
                    if item.torrent_info
                    and item.torrent_info.title
                    and regex_pattern.search(item.torrent_info.title)
                ]
            if not filtered_items:
                return "没有符合筛选条件的搜索结果，请调整筛选条件"

            total_count = len(filtered_items)
            filtered_ids = {id(item) for item in filtered_items}
            matched_indices = [
                index
                for index, item in enumerate(items, start=1)
                if id(item) in filtered_ids
            ]

            # 分页
            page_size = TORRENT_RESULT_LIMIT
            start = (page - 1) * page_size
            end = start + page_size
            page_items = filtered_items[start:end]
            page_indices = matched_indices[start:end]

            if not page_items:
                return f"第 {page} 页没有数据，共 {total_count} 条结果，共 {(total_count + page_size - 1) // page_size} 页。"

            results = [
                simplify_search_result(item, index)
                for item, index in zip(page_items, page_indices)
            ]
            total_pages = (total_count + page_size - 1) // page_size
            payload = {
                "total_count": total_count,
                "page": page,
                "total_pages": total_pages,
                "results": results,
            }
            if page < total_pages:
                payload["message"] = (
                    f"搜索结果共 {total_count} 条，当前第 {page}/{total_pages} 页，可使用 page={page + 1} 获取下一页。"
                )
            return json.dumps(payload, ensure_ascii=False, indent=2)
        except Exception as e:
            error_message = f"获取搜索结果失败: {str(e)}"
            logger.error(f"获取搜索结果失败: {e}", exc_info=True)
            return error_message