DataFrame (Python) में API का उपयोग करके Yandex डायरेक्ट विज्ञापन अभियान प्राप्त करना

 import requests from requests.exceptions import ConnectionError from time import sleep import json import pandas as pd import numpy as np from pandas import Series,DataFrame pd.set_option('display.max_columns', None) pd.set_option('display.expand_frame_repr', False) pd.set_option('max_colwidth', -1) #        UTF-8   Python 3,    Python 2 import sys if sys.version_info < (3,): def u(x): try: return x.encode("utf8") except UnicodeDecodeError: return x else: def u(x): if type(x) == type(b''): return x.decode('utf8') else: return x # ---   --- #   Reports   JSON- () ReportsURL = 'https://api.direct.yandex.com/json/v5/reports' # OAuth- ,       token = ' ' #     #  ,        clientLogin = ' ' # ---   --- #  HTTP-  headers = { # OAuth-.   Bearer  "Authorization": "Bearer " + token, #     "Client-Login": clientLogin, #    "Accept-Language": "ru", #    "processingMode": "auto" #      # "returnMoneyInMicros": "false", #            # "skipReportHeader": "true", #         # "skipColumnHeader": "true", #          # "skipReportSummary": "true" } #    body = { "params": { "SelectionCriteria": { "Filter": [ { "Field": "Clicks", "Operator": "GREATER_THAN", "Values": [ "0" ] }, ] }, "FieldNames": [ "CampaignName", "Impressions", "Clicks", "Ctr", "Cost", "AvgCpc", "BounceRate", "AvgPageviews", "ConversionRate", "CostPerConversion", "Conversions" ], "ReportName": u("Report4"), "ReportType": "CAMPAIGN_PERFORMANCE_REPORT", "DateRangeType": "LAST_5_DAYS", "Format": "TSV", "IncludeVAT": "NO", "IncludeDiscount": "NO" } } #     JSON body = json.dumps(body, indent=4) # ---      --- #   HTTP- 200,     #   HTTP- 201  202,    while True: try: req = requests.post(ReportsURL, body, headers=headers) req.encoding = 'utf-8' #      UTF-8 if req.status_code == 400: print("         ") print("RequestId: {}".format(req.headers.get("RequestId", False))) print("JSON- : {}".format(u(body))) print("JSON-  : \n{}".format(u(req.json()))) break elif req.status_code == 200: format(u(req.text)) break elif req.status_code == 201: print("       ") retryIn = int(req.headers.get("retryIn", 60)) print("    {} ".format(retryIn)) print("RequestId: {}".format(req.headers.get("RequestId", False))) sleep(retryIn) elif req.status_code == 202: print("    ") retryIn = int(req.headers.get("retryIn", 60)) print("    {} ".format(retryIn)) print("RequestId: {}".format(req.headers.get("RequestId", False))) sleep(retryIn) elif req.status_code == 500: print("    . ,    ") print("RequestId: {}".format(req.headers.get("RequestId", False))) print("JSON-  : \n{}".format(u(req.json()))) break elif req.status_code == 502: print("     .") print(",     -      .") print("JSON- : {}".format(body)) print("RequestId: {}".format(req.headers.get("RequestId", False))) print("JSON-  : \n{}".format(u(req.json()))) break else: print("  ") print("RequestId: {}".format(req.headers.get("RequestId", False))) print("JSON- : {}".format(body)) print("JSON-  : \n{}".format(u(req.json()))) break #  ,       API  except ConnectionError: #         print("     API") #     break #   -   except: #         print("  ") #     break file = open("cashe.csv", "w") file.write(req.text) file.close() f = DataFrame.from_csv("cashe.csv",header=1, sep=' ', index_col=0,) f['Cost'] = f['Cost']/1000000 f['AvgCpc'] = f['AvgCpc']/1000000 f['CostPerConversion'] = f['CostPerConversion']/1000000 f=f.sort_values(by=['Clicks'], ascending=False) print(f)