以前的客户地址比较乱，现在想提取出省份城市，

开始了解分词技术，后发现python有这样的库

cpca提取地址挺不错，可以从垃圾地址中提取省市区以及区号。

文章会用fastapi搭建服务端

通过post调用cpca，提取来了后，返回给用户。

我的环境win7   python3.10

win7安装python3.10，前面有文章介绍，也有安装包

首先安装

pip install fastapi

正常情况下，现在可以使用fastapi了，而我比较波折

装完后写demo运行fastapi，import那就出错了

后来我不断降级

代码：

from fastapi import FastAPI
from fastapi import FastAPI, Request, Body
import uvicorn
from hashlib import md5
import cpca

app = FastAPI()

 
@app.get("/")
def read_root():
	return {"Hello": "你好"}


@app.get("/bar")
async def read_item(name: str,age: int = 28):
    return {"name":name,"age":age}

@app.post("/soso")
async def read_item(
    foo: int = Body(1,title="描述",embed=True),
    age: int = Body(..., le=120, title="年龄", embed=True),
    name: str = Body(..., regex="^xiao\d+$", embed=True)):
    return {"foo": foo, "age": age, "name": name}

@app.post("/cpca")
async def read_item(
    timestamp: str = Body(min_length=13,title="时间戳",embed=True),
    key: str = Body(...,min_length=32, title="秘钥", embed=True),
    content: str = Body(...,min_length=2, embed=True)):
    key2 = timestamp+content
    key2 = md5(key2.encode(encoding='UTF-8')).hexdigest()
    key2 = md5(key2.encode(encoding='UTF-8')).hexdigest()
    if key==key2:
        df = cpca.transform([content])
        if df.size == 0:
            return {"status":False}
        else:
            province = df.省[0]
            city = df.市[0]
            district = df.区[0]
            areacode = df.adcode[0]
            if province==None:
                province = ""
            if city==None:
                city = ""
            if district==None:
                district = ""
            if areacode==None:
                areacode = ""
            
            return {"status":True,"content": content,"province":province, "city":city, "district":district, "areacode":areacode}
    else:
        return {"status":False}




if __name__ == "__main__":
    uvicorn.run(app, host="0.0.0.0", port=8001)

服务如果能正常运行，则可在服务器部署python环境，

或者用pyinstaller打包成exe，放服务器运行，打包时

需要注意cpca有个资源文件夹要一起打包。。。。