def test_fom_json():
from adobe_analytics import Client
json_path = mock_dir+"/_login.json"
client = Client.from_json(json_path)
assert client.username == "my_username"
assert client.password == "my_password"
import pandas as pd
from adobe_analytics import Client, ClassificationUploader
client = Client.from_json("my_credentials.json")
suites = client.suties()
suite_ids = list(suites.keys())
dataframe = pd.read_csv("my_classification_data.csv")
uploader = ClassificationUploader(
client=client,
suite_ids=suite_ids,
variable_id="evar24",
data=dataframe,
email="my_email",
description="my trial classification for evar24.")
uploader.upload()
"""
The client class has a request method that allows all sorts of generic API requests to Adobe's v1.4 REST API.
To get a comprehensive overview of available APIs and methods check out the official Adobe Analytics API Explorer:
https://marketing.adobe.com/developer/api-explorer
"""
from adobe_analytics import Client
client = Client.from_json("my_path.json")
# The request below returns a list of all evars available in all specified report suites.
result = client.request(api="ReportSuite",
method="GetEvars",
data={
"rsid_list": [
"my_report_suite_id_1", "my_report_suite_id_2",
"...", "my_report_suite_id_n"
]
})
print(result)
