cv-cat
dc078b248b
10 个平台的 web 端全部用 TypeScript 移植自 cv-cat 的开源项目，请求与上游逐字节对拍。 统一的命令语法与 JSON 输出、按 平台 × 端 × 账号 隔离的登录态、给 AI Agent 用的技能与 llms.txt。
68 lines
2.5 KiB
Python
68 lines
2.5 KiB
Python
"""core 的对拍数据：随机数序列、Python 编码函数（urlencode / quote / json.dumps）、curl_cffi 的 URL 拼接。"""
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import json
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import random
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import secrets
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import sys
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import time
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import uuid
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from pathlib import Path
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from urllib.parse import quote, quote_plus, urlencode
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sys.path.insert(0, str(Path(__file__).resolve().parents[1]))
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import catbus_golden as g # noqa: E402
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out = g.setup('core', 'BilibiliApis')
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STRINGS = ['abc', 'a b&c=d', '中文 ✓', "!'()*~-_.", 'emoji 😀', 'q=/?#[]@', 'tab\tnl\n"quote"\\', '', 'x+y%z', '\x7f\x01']
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def encoding():
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return {
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'strings': STRINGS,
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'quote': [quote(s) for s in STRINGS],
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'quote_safe': [quote(s, safe=':/?=&') for s in STRINGS],
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'quote_plus': [quote_plus(s) for s in STRINGS],
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'urlencode': urlencode([('k' + str(i), s) for i, s in enumerate(STRINGS)] + [('n', 1), ('f', 1.5), ('t', True), ('none', None)]),
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'dumps': [json.dumps(s) for s in STRINGS],
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'dumps_utf8': [json.dumps(s, ensure_ascii=False) for s in STRINGS],
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'dumps_obj': json.dumps({'a': [1, 2.5, None, True], '中': {'k': '值'}, 'e': []}),
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'dumps_compact': json.dumps({'a': [1, 2.5, None, True], '中': {'k': '值'}}, separators=(',', ':')),
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}
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def rand():
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return {
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'random': [random.random() for _ in range(3)],
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'randint': [random.randint(1, 100) for _ in range(5)],
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'choice': ''.join(random.choice('abcdef0123') for _ in range(10)),
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'sample': random.sample(range(20), 5),
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'uniform': random.uniform(2, 5),
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'shuffle': (lambda x: (random.shuffle(x), x)[1])(list(range(8))),
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'hex': secrets.token_hex(8),
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'uuid': str(uuid.uuid4()),
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'time': time.time(),
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'int_time': int(time.time()),
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}
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def curl_urls():
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from curl_cffi.requests import utils as cu
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base = 'https://api.example.com/x/y?a=1&b=2'
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cases = [
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(base, {'b': 3, 'c': 'x y', 'd': True}),
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('https://api.example.com/p', [('k', '中文'), ('k', 'v2'), ('e', '')]),
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('https://api.example.com/p?q=%E4%B8%AD', {'z': "!'()*"}),
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('https://api.example.com/a|b', {}),
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]
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urls = []
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for url, params in cases:
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u = cu.update_url_params(url, params) if params else url
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urls.append(cu.requote_uri(u))
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return {'cases': [[u, list(p.items()) if isinstance(p, dict) else p] for u, p in cases], 'urls': urls}
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g.case(out, 'encoding', encoding)
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g.case(out, 'rand', rand)
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g.case(out, 'curl_urls', curl_urls)
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