知微
fa45d8aa5f
- health_checklist.json: 192.168.1.122→node122
- ocr_client.py: docstring IP→node122
- docs/market-data-requirements.md: IP→node122
- 所有API调用通过ProxyHandler({})绕过系统代理
Privoxy对node122:18003返回500，直连正常
66 lines
1.8 KiB
Python
66 lines
1.8 KiB
Python
#!/usr/bin/env python
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# -*- coding:utf-8 -*-
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"""
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Date: 2024/7/6 14:02
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Desc: ownthink-knowledge graph
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https://ownthink.com/
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https://www.ownthink.com/docs/kg/
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"""
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import pandas as pd
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import requests
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def nlp_ownthink(word: str = "人工智能", indicator: str = "entity") -> pd.DataFrame:
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"""
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Knowledge Graph interface for financial research
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https://ownthink.com/
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:param word: word in chinese
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:type word: str
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:param indicator: entity or desc or avp or tag
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:type indicator: str
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:return: indicator data
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:rtype: list or dict or pandas.DataFrame
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"""
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url = "https://api.ownthink.com/kg/knowledge"
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payload = {
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"entity": word,
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}
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r = requests.post(url, data=payload)
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if not r.json()["data"]:
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print("Can not find the resource, please type into the correct word")
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return pd.DataFrame()
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if indicator == "entity":
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return r.json()["data"]["entity"]
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if indicator == "desc":
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return r.json()["data"]["desc"]
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if indicator == "avp":
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return pd.DataFrame(r.json()["data"]["avp"], columns=["字段", "值"])
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if indicator == "tag":
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return r.json()["data"]["tag"]
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def nlp_answer(question: str = "人工智能") -> str:
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"""
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智能问答
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https://ownthink.com/robot.html
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:param question: word in chinese
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:type question: str
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:return: indicator data
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:rtype: list or dict or pandas.DataFrame
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"""
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url = "https://api.ownthink.com/bot"
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params = {"spoken": question}
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r = requests.get(url, params=params)
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json_data = r.json()
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answer = json_data["data"]["info"]["text"]
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return answer
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if __name__ == "__main__":
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nlp_ownthink_df = nlp_ownthink(word="人工智能", indicator="entity")
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print(nlp_ownthink_df)
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nlp_answer_df = nlp_answer(question="姚明的身高")
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print(nlp_answer_df)
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