可以增加https://meta.law/

[yuanjie-ai]

https://meta.law/

[yuanjie-ai]

逆向逻辑差不多

def func_o(query: str, stream: bool):
    url_o = "https://meta.law/api"
    session = '8463032724927483904'
    currentKey = get(f'{url_o}/case-session/{session}').json().get('data').get('store').get('currentKey')
    sessionID = get(f'{url_o}/case-session/{session}').json().get('data').get('store').get('sessionId')
    url_cases = "https://meta.law/api/case-search-beta"
    payload_cases = {'baseFacts': '',
         'baseFocus': query,
         'pageIndex': 1,
         'pageSize': 50,
         'level': 'root',
         'sessionId': sessionID,
         'overwrite': False,
         'filter': {'timeRange': [],
                    'courtLevels': [],
                    'effectiveness': [],
                    'advanced': {'courtNames': [],
                                 'keywords': [],
                                 'instrumentTypes': [],
                                 'caseTypes': [],
                                 'causes': []},
                    'lawFilter': {'lawId': '', 'name': '', 'legalBasis': ''}},
         'debug': False}
    result_cases = post(url_cases, json=payload_cases)

    resultId = caseSearchBeta(**result_cases.json()).data.resultId
    url_analyze = 'https://meta.law/api/stream/generate/analyze'
    # 获取分析结果
    p = {
        'resultId': resultId,
        'key': currentKey
    }
    result_analyze = post(url_analyze, json=p)

    # cookies = {
    #     "sid": os.getenv('sid', "ada62ab7f8df4336a7083e6e79ad604b"),
    #     "uid": os.getenv('uid', "65d5b187c83352985741cbff"),
    # }
    # payload = {'question': query, 'mode': "detail"}
    # temp = requests.post('https://metaso.cn/api/session', headers=headers, cookies=cookies, json=payload).json()
    # payload.setdefault('sessionId', temp['data']['id'])
    #
    # # httpx
    # x = requests.post('https://metaso.cn/api/search', headers=headers, cookies=cookies, json=payload, stream=stream)
    if stream:
        timetime = int(time.time())
        for line in result_analyze.iter_lines():
            if line and line != b'data: [DONE]':
                d = json.loads(line.decode()[6:]) ################
                temp = MyChatCompletionChunk(**d)
                choice = Choice(delta=ChoiceDelta(content=temp.choices[0].delta.content, role='assistant'), index=0)
                ccc = ChatCompletionChunk(choices=[choice], id='xxxx', created=timetime, model='metalaw',
                                          object="chat.completion.chunk")
                # logger.debug(f'{ccc.model_dump()}')
                yield ccc.model_dump_json()

        yield '[DONE]'
    else:
        text = ''
        for line in result_analyze.iter_lines():
            if line and line != b'data: [DONE]':
                d = json.loads(line.decode()[6:])
                temp = MyChatCompletionChunk(**d)
                text += temp.choices[0].delta.content

        return text

[Vinlic]

@yuanjie-ai
这个是法律案例检索为主，law全网检索的部分和现有的秘塔搜索几乎没有差异，增加这个逆向有什么应用的价值吗？

[yuanjie-ai]

@yuanjie-ai 这个是法律案例检索为主，law全网检索的部分和现有的秘塔搜索几乎没有差异，增加这个逆向有什么应用的价值吗？

垂类检索吧，哈哈 更完备点