1. 使用API访问套件的configure函数来设置API请求所需的基本信息。

from adobe_analytics import Client
from adobe_analytics.urls import METRIC_URLS

client = Client("YOUR_COMPANY_NAME", "YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET", "YOUR_TECHNICAL_ACCOUNT_ID", "YOUR_ORGANIZATION_ID")
client.configure() #必要的配置

2. 获取API数据时需要将“page”指标转换成“pageName”指标，并将读取的URL进行处理以匹配数据。

from adobe_analytics.client import Client
from adobe_analytics.helpers import (build_filter_clause, build_date_ranges)
from adobe_analytics.urls import REPORT_URLS
import pprint

client = Client("YOUR_COMPANY_NAME", "YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET", "YOUR_TECHNICAL_ACCOUNT_ID", "YOUR_ORGANIZATION_ID")
client.configure()

BREAKDOWN_DIM = "pageName"
SEGMENT_ID = None
REPORT_SUITE_ID = "YOUR_REPORT_SUITE_ID"

date_ranges = build_date_ranges(date_from='10daysAgo', date_to='yesterday')

report_description = [
    {
        "reportSuiteID": REPORT_SUITE_ID,
        "dateRanges": date_ranges,
        "metrics": [{"id": "metrics/pageviews"}],
        "elements": [{"id": "variables/prop1"}, {"id": "variables/prop2"}],
    }
]

reports = client.reports.queue(report_description)
data = client.reports.get_report(reports[0]["reportID"])
data_dict = {}
for element in data["data"][0]["breakdown"]:
    page_name = element["name"]
    data_dict[page_name] = {}
    for metric in element["counts"]:
        metric_title = list(metric.keys())[0]
        metric_value = metric[metric_title]
        data_dict[page_name][metric_title] = metric_value

pprint.pprint(data_dict)

以上代码段利用Adobe Analytics API和Python，从指定报表集合获取指标和数据，将原始数据处理成字典形式。

注意：以上示例代码仅供参考