"""English Financial News — CLI 入口"""

import logging
import sys

from dotenv import load_dotenv
import typer

# 加载 .env 环境变量（必须在所有模块导入之前）
load_dotenv()

app = typer.Typer(
    name="en-news",
    help="国际财经新闻抓取与深度研究平台",
    no_args_is_help=True,
)

# ── 日志配置 ──────────────────────────────────────────

logging.basicConfig(
    level=logging.INFO,
    format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
    datefmt="%Y-%m-%d %H:%M:%S",
    stream=sys.stderr,
)

# 抑制第三方库噪音日志
for _lib in ("httpx", "httpcore", "openai", "urllib3"):
    logging.getLogger(_lib).setLevel(logging.WARNING)

logger = logging.getLogger("en-news")


@app.command()
def crawl(
    source: str | None = typer.Option(
        None, "--source", "-s",
        help="只抓取指定 source_id（不传则全部）",
    ),
    profile: str | None = typer.Option(
        None, "--profile", "-p",
        help="Profile 名称（2g_headless / 8g_headful）",
    ),
):
    """M1: 抓取英文财经新闻（部署海外）"""
    import os
    from crawler.orchestrator import run_crawl_sync

    if profile:
        os.environ["EN_NEWS_PROFILE"] = profile
        logger.info("📋 使用 Profile: %s", profile)

    try:
        stats = run_crawl_sync(source_filter=source)
        typer.echo(f"\n✅ 完成: {stats.sources_crawled} 源, {stats.total_articles} 篇文章")
        if stats.sources_failed:
            typer.echo(f"⚠️  {stats.sources_failed} 个源有错误")
    except FileNotFoundError as e:
        typer.echo(f"❌ {e}", err=True)
        raise typer.Exit(code=1)
    except Exception as e:
        logger.exception("抓取失败")
        typer.echo(f"❌ 抓取出错: {e}", err=True)
        raise typer.Exit(code=1)


@app.command()
def extract(
    source: str | None = typer.Option(
        None, "--source", "-s",
        help="只处理指定 source_id（不传则全部）",
    ),
):
    """M2: 英文正文提取（trafilatura）"""
    from extractor.pipeline import process_all_sources

    try:
        stats = process_all_sources(source_filter=source)
        typer.echo(
            f"\n✅ 提取: {stats['sources_processed']} 源, "
            f"{stats['total_articles']} 篇, {stats['elapsed_sec']:.1f}s"
        )
    except Exception as e:
        logger.exception("正文提取失败")
        typer.echo(f"❌ 提取出错: {e}", err=True)
        raise typer.Exit(code=1)


@app.command()
def dedup():
    """M3: 三层去重"""
    from dedup.pipeline import dedup_all_sources

    try:
        stats = dedup_all_sources()
        typer.echo(
            f"\n✅ 去重: {stats['sources_processed']} 源, "
            f"唯一 {stats['unique']} / 重复 {stats['duplicate']} / "
            f"总计 {stats['total_articles']}, {stats['elapsed_sec']:.1f}s"
        )
    except Exception as e:
        logger.exception("去重失败")
        typer.echo(f"❌ 去重出错: {e}", err=True)
        raise typer.Exit(code=1)


@app.command()
def translate():
    """M4: 全文翻译 + 投资事件抽取（LLM）"""
    from llm.pipeline import translate_all_deduped

    try:
        stats = translate_all_deduped()
        typer.echo(
            f"\n✅ 翻译+事件抽取: {stats['success']}/{stats['total']} 篇, "
            f"{stats['elapsed_sec']:.1f}s ({stats['provider']}/{stats['model']})"
        )
    except Exception as e:
        logger.exception("翻译失败")
        typer.echo(f"❌ 翻译出错: {e}", err=True)
        raise typer.Exit(code=1)


@app.command()
def embed():
    """M5: 向量生成"""
    from embedding.pipeline import embed_all_events

    try:
        stats = embed_all_events()
        typer.echo(
            f"\n✅ 向量生成: {stats['success']}/{stats['total']} 篇, "
            f"{stats['elapsed_sec']:.1f}s ({stats['provider']}/{stats['model']})"
        )
    except Exception as e:
        logger.exception("向量生成失败")
        typer.echo(f"❌ 向量生成出错: {e}", err=True)
        raise typer.Exit(code=1)


@app.command()
def index(
    recreate: bool = typer.Option(
        False, "--recreate",
        help="重建 collection（会删除已有数据）",
    ),
):
    """M6: Qdrant 入库"""
    from vectorstore.pipeline import get_collection_info, ingest_all_embeddings

    try:
        stats = ingest_all_embeddings(recreate=recreate)
        typer.echo(
            f"\n✅ 入库: {stats['ingested']}/{stats['total']} 条, "
            f"{stats['elapsed_sec']:.1f}s"
        )
        info = get_collection_info()
        typer.echo(f"📊 Collection: {info['name']} — {info['vectors_count']} 条向量")
    except Exception as e:
        logger.exception("入库失败")
        typer.echo(f"❌ 入库出错: {e}", err=True)
        raise typer.Exit(code=1)


@app.command()
def search(
    query: str = typer.Argument(..., help="中文检索查询"),
    top_k: int = typer.Option(10, help="返回结果数"),
):
    """M6: Qdrant 语义检索"""
    from vectorstore.pipeline import search_news

    try:
        results = search_news(query, top_k=top_k)
        if not results:
            typer.echo("🔍 未找到相关结果")
            return

        typer.echo(f"\n🔍 搜索: {query}\n")
        for i, r in enumerate(results, 1):
            typer.echo(f"{i}. [{r.source_id}] score={r.score:.4f}")
            typer.echo(f"   📰 {r.title_zh or r.title}")
            if r.events:
                events_summary = ", ".join(
                    f"{ev.get('event_type','')}({ev.get('sentiment','')})"
                    for ev in r.events[:3]
                )
                typer.echo(f"   📌 事件: {events_summary}")
            typer.echo(f"   🔗 {r.url}")
            typer.echo()
    except Exception as e:
        logger.exception("搜索失败")
        typer.echo(f"❌ 搜索出错: {e}", err=True)
        raise typer.Exit(code=1)


@app.command()
def report():
    """M7: 日报生成"""
    from scheduler.reporter import generate_report

    try:
        path = generate_report()
        if path:
            typer.echo(f"\n✅ 日报已生成: {path}")
        else:
            typer.echo("⚠️  无数据，跳过日报生成")
    except Exception as e:
        logger.exception("日报生成失败")
        typer.echo(f"❌ 日报生成出错: {e}", err=True)
        raise typer.Exit(code=1)


@app.command()
def pipeline(
    skip_report: bool = typer.Option(
        False, "--skip-report",
        help="跳过日报生成",
    ),
):
    """M7: 一键运行完整管道 M2→M6（+ 可选日报）"""
    from crawler.utils import get_news_day
    from scheduler.pipeline import run_pipeline

    date_str = get_news_day()
    typer.echo(f"🚀 开始全链路管道，日期: {date_str}\n")

    try:
        result = run_pipeline(date_str, skip_report=skip_report)

        typer.echo(f"\n{'='*50}")
        typer.echo(f"Pipeline 完成: {result.success_count}/{len(result.steps)} 成功")
        for s in result.steps:
            flag = "✅" if s.success else "❌"
            typer.echo(f"  {flag} {s.name}: {s.message} ({s.elapsed_sec:.0f}s)")
        if result.finished_at and result.started_at:
            total = (result.finished_at - result.started_at).total_seconds()
            typer.echo(f"\n⏱ 总耗时: {total:.0f}s")
    except Exception as e:
        logger.exception("管道执行失败")
        typer.echo(f"❌ 管道执行出错: {e}", err=True)
        raise typer.Exit(code=1)


@app.command()
def mcp_server():
    """M8: 启动 MCP 服务（供 Claude Code / Cherry Studio 调用）"""
    from mcp_server.server import mcp

    typer.echo("🚀 启动国际财经 Deep Research MCP 服务...")
    mcp.run()


if __name__ == "__main__":
    app()