blend360-all-star-clickstream-api 0.1.2

Package to request synthetic clickstream data.

de-allstar-training-clickstream-api

API package to request clickstream data

Usage

clickstream_api module contains the class datafetch.DataFetch, which can be instantiated to send api requests to fetch data from an endpoint, check a job status, or query the number of visitors per day.

In order to run the DataFetch module you must first instantiate a DataFetch object. Upon your first time running the module you will be given a prompt to enter your API key. This will save your API key to your local keyring so you will not be asked for you API key again.

Databricks

In order to run on a databricks cluster you must first add your API key to Databricks. Copy and run the code below in your terminal to add your API key.

$ databricks secrets create-scope --scope <my-scope>
$ databricks secrets put --scope <my-scope> --key <my-key> --string-value <api_key>

If running on your local machine you will be prompted to enter your API key the first time running the module. The API key will be saved to your keyring.

>>> from blend360_all_star_clickstream_api.datafetch import DataFetch
>>> data_fetch = DataFetch()
Enter your API Key:<api_key>
>>> 

If the API key needs to be removed, run DataFetch.deleteAPIKey(). If the API key needs to be updated, run DataFetch.updateAPIKey().

blend360_all_star_clickstream_api.datafetch.DataFetch.fetchData

fetchData(self, start_date: datetime.date, end_date: datetime.date) -> str

Triggers async job that sends data to destination s3 location

Args

• start_date (datetime.date): Earliest date of clickstream data to collect
• end_date (datetime.date): Latest date of clickstream data to collect
• destination_bucket (str): S3 bucket for data to land in
• destination_directory (str): Directory in S3 bucket for data to land in
• table_name (str): Name of table to fetch

Returns:

• requests.models.Response: Response object.

Example:

>>> data_fetch.fetchData(start_date = datetime.date(2022, 1, 1), end_date = datetime.date(2023, 1, 1), destination_bucket= "clickstream-server", destination_directory = "poop_test")
<Response [200]>
>>> data_fetch.fetchData(start_date = datetime.date(2022, 1, 1), end_date = datetime.date(2023, 1, 1), destination_bucket= "clickstream-server", destination_directory = "poop_test").json()
{'job_id': 12345}
>>>

clickstream_api.datafetch.DataFetch.checkStatus

checkStatus(self, job_id: int) -> str

Checks on the status of the S3 copy job

Args:

• job_id (int): ID of S3 copy job

Returns:

• requests.models.Response: Response object.

Example:

>>> data_fetch.checkStatus(12345)
<Response [200]>
>>> data_fetch.checkStatus(12345).json()
{'execution_status': 'RUNNING'}
>>> 

clickstream_api.datafetch.DataFetch.updateAPIKey

updateAPIKey(self)

Update the API Key

Example:

>>> data_fetch.updateAPIKey()
Enter your API Key:<api_key>
>>> 

clickstream_api.datafetch.DataFetch.deleteAPIKey

deleteAPIKey(self)

Remove your API key from keyring

Example:

>>> data_fetch.deleteAPIKey()

>>>