Python의 API 호출에 대한 자세한 설명 및 예

import request
# GET请求发送的参数一定要是字典的形式，可以发送多个参数。
# 发送格式：{'key1':value1', 'key2':'value2', 'key3', 'value3'}
# 样例不能运行
url ='http://www.xxxxx.com'
params = {'user':'lixue','password':111112333}
requests.get(url,data = parms)

import request
data={'k1':'v1','k2':'v2'}
headers= {'user-agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.69 Safari/537.36'}
requests.post(url,headers = headers,data=data)

data = {'user':'lixue','password':12233}
data_json = json.dumps(params)
requests.post(url,headers = headers,data = data_json)

files = {'files':open('c://xxx.txt','rb')}
requests.post(url = url,headers = headers,files = files)

params = {
    "apiKey":'换成你的apikey',
    "area":'武汉市',
}
url = 'https://api.apishop.net/common/weather/get15DaysWeatherByArea'
response = requests.get(url,params)
print(response.text)

url = 'https://api.apishop.net/common/weather/get15DaysWeatherByArea'
params = {
    "apiKey":'换成你的apikey',
    "area":'武汉市武昌区',
}
response = requests.post(url,params)
print(response.text)

params = {
    "apiKey":'换成你的apikey,
    "area":'武汉市',
}
url = 'https://api.apishop.net/common/weather/get15DaysWeatherByArea'
response = requests.post(url,params)
print(response.text)
if response.status_code != 200:
    raise ConnectionError(f'{url} status code is {response.status_code}.')
response = json.loads(response.content)
if 'desc' not in response.keys():
    raise ValueError(f'{url} miss key msg.')
if response['desc'] != '请求成功':
    print(11)

import requestsimport pandas as pd 
import numpy as npimport jsondef get_url(area):
    url = 'https://api.apishop.net/common/weather/get15DaysWeatherByArea'
    params = {
        "apiKey":'换成你的apikey',
        "area":area,
    }
    response = requests.get(url,params)
    if response.status_code != 200:
        raise ConnectionError(f'{url} status code is {response.status_code}.')
    response = json.loads(response.content)
    if 'desc' not in response.keys():
        raise ValueError(f'{url} miss key msg.')
    if response['desc'] != '请求成功':
        print(11)
    return responsedef  extract_data(web_data):
    data= web_data['result']['dayList']
    weather_data = pd.DataFrame(columns = ['city','daytime','day_weather','day_air_temperature','day_wind_direction','day_wind_power',                                           'night_weather','night_air_temperature','night_wind_direction','night_wind_power'])
    for i in range(len(data)):
        city = data[i]["area"]
        daytime = data[i]["daytime"]
        daytime = daytime[:4]+'-'+daytime[4:6]+'-'+daytime[-2:]
        day_weather = data[i]["day_weather"]
        day_air_temperature = data[i]['day_air_temperature']
        day_wind_direction = data[i]["day_wind_direction"]
        day_wind_power = data[i]['day_wind_power']
        night_weather = data[i]['night_weather']
        night_air_temperature = data[i]["night_air_temperature"]
        night_wind_direction = data[i]['night_wind_direction']
        night_wind_power = data[i]["night_wind_power"]
        c = {"city": city,"daytime": daytime,"day_weather":day_weather,"day_air_temperature":day_air_temperature,
             "day_wind_direction":day_wind_direction,"day_wind_power":day_wind_power,"night_weather":night_weather,
             "night_air_temperature":night_air_temperature,"night_wind_direction":night_wind_direction,
             "night_wind_power":night_wind_power}
        weather_data = weather_data.append(c,ignore_index = True)
    weather_data.to_excel(r"C:\Users\zhangfeng\Desktop\最近十五天天气.xlsx",index = None)
    return weather_dataif __name__ == '__main__':
    print("请输入对应的城市")
    web_data = get_url(input())
    weather_data = extract_data(web_data)

# 销售状态查询def id_status(id_dir):
    id_data = pd.read_excel(id_dir,sheet_name="Sheet1") 
    id_data.columns = ['shop', 'Campaign Name','Ad Group Name','Item Id']  # 方便后期处理更改列名
    id_data["Item Id"] = id_data["Item Id"].astype(str)
    id_list = list(id_data['Item Id'])
    print(len(id_list))
    id_list = ','.join(id_list)
    if isinstance(id_list, int):
        id_list = str(id_list)
    id1 = id_list.strip().replace('，', ',').replace(' ', '')
    request_url = "http://xxx.com"
    # 通过item_id查询id状态
    params = {
        "item_id":id1,
    }
    data_json = json.dumps(params) # 属于POST第二种请求方式
    response = requests.post(request_url, data = data_json)
    print(response.text)
    if response.status_code != 200:
        raise ConnectionError(f'{request_url} status code is {response.status_code}.')
    response = json.loads(response.content)
    if 'message' not in response.keys():
        raise ValueError(f'{request_url} miss key msg.')
    if response['message'] != 'ok':
        print(11)
    data= response['result']
    ad_data = pd.DataFrame(columns = ['Item Id','saleStatusName'])
    for j in range(len(data)):
        item_id =data[j]["item_id"]
        saleStatusName = data[j]['saleStatusName']
        c = {"Item Id": item_id,
         "saleStatusName": saleStatusName,
         }
        ad_data = ad_data.append(c,ignore_index = True)
    total_data = pd.merge(ad_data,id_data,on ='Item Id', how ='left')
    df_column =  ['shop', 'Campaign Name','Ad Group Name','Item Id','saleStatusName']
    total_data = total_data.reindex(columns=df_column)
    return total_data

### 库存数据查询def Smart_investment_treasure(investment_dir):
    product_data = pd.read_excel(investment_dir,sheet_name="product")
    if len(product_data)>0:
        product_data['商品ID']=product_data['商品ID'].astype(str)
        product_list=list(product_data['商品ID'])
        product_id = ','.join(product_list)
    else:
        product_id='没有数据' 
    return product_id    
def stock_query(investment_dir):
        product_data = pd.read_excel(investment_dir,sheet_name="product")
    if len(product_data)>0:
        product_data['商品ID']=product_data['商品ID'].astype(str)
        product_list=list(product_data['商品ID'])
        product_id = ','.join(product_list)
    else:
        product_id='没有数据' 
    if isinstance(product_id, int):
        product_id = str(id)
    product_id = product_id.strip().replace('，', ',').replace(' ', '')
    request_url = "http://xxx.com"
    # 通过ali_sku查询erpsku
    params = {
        "product_id":product_id,
    }
    
    response = requests.get(request_url, params) #属于GET请求
    if response.status_code != 200:
        raise ConnectionError(f'{request_url} status code is {response.status_code}.')
    response = json.loads(response.content)
    if 'msg' not in response.keys():
        raise ValueError(f'{request_url} miss key msg.')
    if response['msg'] != 'success':
        print(11)
    data= response['data']['data']
    # requestProductId = id.split(',')
    id_state=[]
    overseas_stock=[]
    china_stock=[]
    id_list=[]
    for j in range(len(data)):
        inventory_data= data[j]['list']
        overseas_inventory=0
        ep_sku_list=[]
        sea_test=0
        china_inventory=0
        test="paused"
        id_test=""
        id_test=data[j]['product_id']
        for i in range(len(inventory_data)):
            if inventory_data[i]["simple_code"] in ["FR","DE","PL","CZ","RU"] and inventory_data[i]["erp_sku"] not in ep_sku_list:
                overseas_inventory+=inventory_data[i]["ipm_sku_stock"]
                ep_sku_list.append(inventory_data[i]["erp_sku"])
                sea_test=1
            elif inventory_data[i]["simple_code"] == 'CN':
                china_inventory+=int(inventory_data[i]["ipm_sku_stock"])
        if overseas_inventory>30:
            test="open"
        elif overseas_inventory==0 and china_inventory>100:
            test="open"
        id_list.append(id_test)
        overseas_stock.append(overseas_inventory)
        china_stock.append(china_inventory)           
        id_state.append(test)
    c={"id":id_list,
       "id_state":id_state,
       "海外仓库存":overseas_stock,
       "国内大仓":china_stock       }
    ad_data=pd.DataFrame(c)
    return ad_data

'''
第三方包名称：baidu-aip 
百度API 
""" 你的 APPID AK SK """
APP_ID = '你的 App ID'
API_KEY = '你的 Api Key'
SECRET_KEY = '你的 Secret Key'
参考文档：https://ai.baidu.com/ai-doc/NLP/tk6z52b9z
'''
from aip import AipNlp
APP_ID = 'xxxxxx'
API_KEY = '换成你的apikey'
SECRET_KEY = '换成你的SECRET_KEY'
client = AipNlp(APP_ID, API_KEY, SECRET_KEY)
text = "我还没饭吃"
# 调用文本纠错 
client.ecnet(text)

# https://lbsyun.baidu.com/
# 计算校验SN(百度API文档说明需要此步骤)
import pandas as pd
import numpy as np
import warnings
import requests
import urllib
import hashlib
import json
from geopy.distance import geodesic
location = input("输入所在的位置\n")  # "广州市天河区"
ak = "ak1111" # 参照自己的应用
sk = "sk111111" # 参照自己的应用
url = "http://api.map.baidu.com"
query = "/geocoding/v3/?address={0}&output=json&ak={1}&callback=showLocation".format(location, ak)
encodedStr = urllib.parse.quote(query, safe="/:=&?#+!$,;'@()*[]")
sn = hashlib.md5(urllib.parse.quote_plus(encodedStr + sk).encode()).hexdigest()
# 使用requests获取返回的json
response = requests.get("{0}{1}&sn={2}".format(url, query, sn))
data1=response.text.replace("showLocation&&showLocation(","").replace(")","")
data = json.loads(data1)
print(data)
lat = data["result"]["location"]["lat"]
lon = data["result"]["location"]["lng"]
print("纬度: ", lat, " 经度: ", lon)
distance=geodesic((lat,lon), (39.98028,116.30495))
print("距离{0}这个位置大概{1}".format(location, distance))

import requests
import time
import hashlib
import uuid
youdao_url = 'https://openapi.youdao.com/api'   # 有道api地址
translate_text = "how are you!"
input_text = ""
# 当文本长度小于等于20时，取文本
if(len(translate_text)  20):
    input_text = translate_text[:10] + str(len(translate_text)) + translate_text[-10:]

uu_id = uuid.uuid1()
now_time = int(time.time())
app_id = '1111111'
app_key = '11111111111'
sign = hashlib.sha256((app_id + input_text + str(uu_id) + str(now_time) + app_key).encode('utf-8')).hexdigest()   # sign生成
data = {
    'q':translate_text,   # 翻译文本
    'from':"en",   # 源语言
    'to':"zh-CHS",   # 翻译语言
    'appKey':app_id,   # 应用id
    'salt':uu_id,   # 随机生产的uuid码
    'sign':sign,   # 签名
    'signType':"v3",   # 签名类型，固定值
    'curtime':now_time,   # 秒级时间戳
}
r = requests.get(youdao_url, params = data).json()   # 获取返回的json()内容
print("翻译后的结果：" + r["translation"][0])   # 获取翻译内容