feat(python): 完成 Python 全量迁移——剩余平台、登录通道与公共层修复
- 新增 5sing/apple/xm/me/qt/lr 平台包与取流实现(含 xm-sign、MissEvan 签名、蜻蜓 HMAC、Apple developer token) - 新增 wy/kg/tx/lr 登录:扫码、手机号、账密(kg 20028 风控指纹)、cookie 绑定、kg/tx 续期 - request 层:保留多值 Set-Cookie;JSON body 紧凑化(修复 kg 网关验签);直连不经系统代理(对齐 Node) - 登录路由统一 Body(embed=True),修复扫码轮询 422;lifespan 接入登录续期调度 - ruff/format/pyright 全绿;14 平台真实联网与 HTTP 路由验证通过
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"""猫耳FM 搜索(对应 sdk/me/musicSearch.ts,双通道聚合,与网页版对齐)。
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广播剧(置顶): https://www.missevan.com/dramaapi/search?s=&page= → info.Datas[]
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——网页版搜索排前面的正剧来自这里;getsearch 的 type 参数只有 1UP主/2音单/3声音/4声优,没有剧集类型
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声音(补足): https://www.missevan.com/sound/getsearch?s=&p=&type=3&page_size=&sort=2 → info.Datas[]
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剧条目 songmid 用 "d:<drama_id>" 前缀(取流时自动取首个免费集,见 apis/me.py);声音条目为裸 sound_id。
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"""
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from __future__ import annotations
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import asyncio
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import math
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from typing import Any
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from app.sdk.common.request import http_fetch
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from app.sdk.common.utils import as_dict, as_list, format_play_time
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from app.sdk.platforms.fivesing.util import encode_uri_component
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UA = "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/125.0.0.0 Safari/537.36"
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H = {"User-Agent": UA, "Accept": "application/json", "Referer": "https://www.missevan.com/sound/search"}
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async def _search_dramas(keyword: str, page: int, limit: int) -> list[dict[str, Any]]:
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resp = await http_fetch(
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f"https://www.missevan.com/dramaapi/search?s={encode_uri_component(keyword)}&page={page}",
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headers=H,
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timeout=15_000,
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)
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body = as_dict(resp.body)
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if resp.status_code != 200 or body.get("success") is False:
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return []
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datas = as_list(as_dict(body.get("info")).get("Datas"))
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return [
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{
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"songmid": f"d:{item.get('id')}",
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"name": item.get("name") or "",
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"singer": item.get("author") or "",
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"albumId": str(item.get("id")),
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"albumName": item.get("name") or "",
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"interval": 0,
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"payPlay": True,
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"img": item.get("cover") or None,
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"lrc": "",
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"lrcx": "",
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"types": [],
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"_types": {},
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"disabled": False,
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}
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for item in datas[:limit]
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if isinstance(item, dict)
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]
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async def _search_sounds(keyword: str, page: int, limit: int) -> list[dict[str, Any]]:
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resp = await http_fetch(
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f"https://www.missevan.com/sound/getsearch?s={encode_uri_component(keyword)}&p={page}&type=3&page_size={limit}&sort=2",
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headers=H,
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timeout=15_000,
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)
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body = as_dict(resp.body)
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if resp.status_code != 200 or body.get("success") is False:
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return []
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datas = as_list(as_dict(body.get("info")).get("Datas"))
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songs = []
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for item in datas:
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if not isinstance(item, dict):
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continue
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duration = item.get("duration")
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songs.append(
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{
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"songmid": str(item.get("id")),
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"name": item.get("soundstr") or "",
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"singer": item.get("username") or "",
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"albumId": "",
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"albumName": "",
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"interval": format_play_time(math.floor(float(duration) / 1000 + 0.5)) if duration else 0,
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"payPlay": int(item.get("pay_type") or 0) > 0,
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"img": item.get("front_cover") or None,
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"lrc": "",
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"lrcx": "",
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"types": [],
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"_types": {},
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"disabled": False,
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}
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)
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return songs
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async def search(keyword: str, page: int = 1, limit: int = 20, retry_num: int = 0) -> dict[str, Any]:
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"""剧优先置顶(约六成配额),零散声音补足;剧集翻页直接传 page。"""
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del retry_num # 契约参数,web 搜索无重试语义
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async def safe(coro: Any) -> list[dict[str, Any]]:
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try:
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return await coro
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except Exception: # noqa: BLE001 - 单通道失败不拖垮搜索
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return []
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dramas, sounds = await asyncio.gather(
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safe(_search_dramas(keyword, page, max(4, int(limit * 0.6)))),
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safe(_search_sounds(keyword, page, limit)),
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)
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songs = [*dramas, *sounds][:limit]
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return {
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"allPage": page + (1 if len(songs) >= limit else 0),
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"total": len(dramas) + len(sounds),
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"limit": limit,
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"source": "me",
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"list": songs,
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}
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