【发布时间】：2020-03-20 17:56:41
【问题描述】：
我正在尝试使用 python 在 lambda 函数中编写一个 google 分析连接器，以获取和存储 Google Core Reporting API 提供的所有指标和维度值。截至目前，我可以从 api 查询各个指标/维度值，但不确定如何将所有数据转储为 json，因为它只返回我要求的值。
"""Hello Analytics Reporting API V4."""
import argparse
from apiclient.discovery import build
import httplib2
from oauth2client import client
from oauth2client import file
from oauth2client import tools
SCOPES = ['https://www.googleapis.com/auth/analytics.readonly']
CLIENT_SECRETS_PATH = 'client_secrets.json' # Path to client_secrets.json file.
VIEW_ID = 'xxxxxxx'
def initialize_analyticsreporting():
"""Initializes the analyticsreporting service object.
Returns:
analytics an authorized analyticsreporting service object.
"""
# Parse command-line arguments.
parser = argparse.ArgumentParser(
formatter_class=argparse.RawDescriptionHelpFormatter,
parents=[tools.argparser])
flags = parser.parse_args([])
# Set up a Flow object to be used if we need to authenticate.
flow = client.flow_from_clientsecrets(
CLIENT_SECRETS_PATH, scope=SCOPES,
message=tools.message_if_missing(CLIENT_SECRETS_PATH))
# Prepare credentials, and authorize HTTP object with them.
# If the credentials don't exist or are invalid run through the native client
# flow. The Storage object will ensure that if successful the good
# credentials will get written back to a file.
storage = file.Storage('analyticsreporting.dat')
credentials = storage.get()
if credentials is None or credentials.invalid:
credentials = tools.run_flow(flow, storage, flags)
http = credentials.authorize(http=httplib2.Http())
# Build the service object.
analytics = build('analyticsreporting', 'v4', http=http)
return analytics
def get_report(analytics):
# Use the Analytics Service Object to query the Analytics Reporting API V4.
return analytics.reports().batchGet(
body={
"reportRequests": [
{
"viewId": VIEW_ID,
"metrics": []
}]
}
).execute()
def print_response(response):
"""Parses and prints the Analytics Reporting API V4 response"""
for report in response.get('reports', []):
columnHeader = report.get('columnHeader', {})
dimensionHeaders = columnHeader.get('dimensions', [])
metricHeaders = columnHeader.get('metricHeader', {}).get('metricHeaderEntries', [])
rows = report.get('data', {}).get('rows', [])
for row in rows:
dimensions = row.get('dimensions', [])
dateRangeValues = row.get('metrics', [])
for header, dimension in zip(dimensionHeaders, dimensions):
print (header + ': ' + dimension)
for i, values in enumerate(dateRangeValues):
print ('Date range (' + str(i) + ')')
for metricHeader, value in zip(metricHeaders, values.get('values')):
print (metricHeader.get('name') + ': ' + value)
def main():
analytics = initialize_analyticsreporting()
response = get_report(analytics)
print_response(response)
if __name__ == '__main__':
main()
用于获取数据的现有代码 sn-p 及其产生的当前输出
Date range (0)
ga:visits: 6
我试图获取 Google Analytics 提供的所有 500 多个指标，而不是这个。
【问题讨论】：
-
关于这一点：“不确定如何将所有数据转储为 json，因为它只返回我要求的值”您能否编辑您的问题以包含当前输出以及示例想要的输出？
标签： python api google-analytics aws-lambda