"""起点/番茄人工导出导入与归因对比。"""

from __future__ import annotations

import csv
import json
from pathlib import Path
from typing import Any

from muse.store import connect, default_db_path


def import_ranking(path: str | Path, *, sqlite_path: str | Path | None = None) -> dict[str, Any]:
    source = Path(path)
    rows = []
    with source.open(encoding="utf-8") as handle:
        reader = csv.DictReader(handle)
        for row in reader:
            rows.append(
                {
                    "platform": row.get("platform") or row.get("平台"),
                    "title": row.get("title") or row.get("书名"),
                    "rank": int(row.get("rank") or row.get("名次") or 0),
                    "votes": int(row.get("votes") or row.get("月票") or row.get("追读") or 0),
                    "date": row.get("date") or row.get("日期"),
                }
            )
    if not rows:
        raise ValueError("导入表为空")
    with connect(sqlite_path or default_db_path()) as conn:
        runs = [
            dict(row)
            for row in conn.execute(
                "SELECT id, kind, skill_set_hash, created_at FROM runs ORDER BY created_at DESC LIMIT 20"
            )
        ]
    report = {
        "imported": len(rows),
        "top": rows[0],
        "runs_considered": len(runs),
        "attribution": [
            {
                "title": item["title"],
                "platform": item["platform"],
                "rank": item["rank"],
                "nearest_run": runs[0]["id"] if runs else None,
                "skill_set_hash": runs[0]["skill_set_hash"] if runs else None,
            }
            for item in rows[:5]
        ],
    }
    return report


def write_attribution_report(report: dict[str, Any], dest: str | Path) -> Path:
    target = Path(dest)
    target.parent.mkdir(parents=True, exist_ok=True)
    lines = ["# 榜单归因", ""]
    lines.append(f"导入 {report['imported']} 行。")
    for item in report["attribution"]:
        lines.append(
            f"- {item['platform']}《{item['title']}》第 {item['rank']} 名 → run `{item['nearest_run']}` skill_set `{item['skill_set_hash']}`"
        )
    target.write_text("\n".join(lines) + "\n", encoding="utf-8")
    return target