omd-emea 0.1.8

Generic code for processing and execution for OMD EMEA

OMD-EMEA Code Repository

Overview

omd-emea is a Python package that houses generic code and processes that is used across multiple projects and clients and can be used in other projects. Having and maintaining a Python package using PyPI makes it much easier for others in the company to import code and starting playing with the funcs and processes.

Main Features

There are three main areas (this might increase in the future of course) that houses functionality:

• apis - contains code utilising the APIs of Facebook and Adverity
• taxonomy_field_checker - contains functionality to retrieve the latest field names from Taxonomy Checker depending on the name of the client.
• general - contains generic functions and classes that may come in handy in current and upcoming projects.

How to install it

The source code is currently hosted on GitLab at: https://gitlab.com/omd_MarketingIntelligence/code_repository/-/tree/asdev. Note that it is currently sitting in the branch asdev.

Installation is available with the latest release at the Python Package Index (PyPI):

pip install omd-emea

If you are desperate to install from GitLab, please run the following command:

git clone -b asdev https://gitlab.com/omd_MarketingIntelligence/code_repository.git

Example usage

Below are some examples on some of the functionality of the package:

Importing a table from BigQuery to a pandas dataframe using the GCP class inside the general sub module:

from omd_emea.general.general_functions import GCP

GCP.bq_table_to_dataframe(table_name='example-table',
                          project_id='example-project').head()

Sending an email to an email address using the General class inside the general sub module:

from omd_emea.general.general_functions import General

General.send_email_func(receiver_email='[e-mail]',
                        message='Hello, this is a test',
                        username='[e-mail]',
                        password='pwd')

Using the Logger class inside the general sub module to create a test log and upload to a GCP bucket:

from omd_emea.general.general_functions import Logging

# Initiate the logger
bucket_name = 'example-bucket'
logging_file = Logging(bucket_name=bucket_name).instantiate_log(
    'Initiating the logger'
)
Logging(bucket_name=bucket_name).read_file(file=logging_file)

# Make an example log
Logging(bucket_name=bucket_name).write_to_file(
    file=logging_file,
    log='This is an example log'
)

# Seeking the logging file - comes after all logs have been written
Logging(bucket_name=bucket_name).seek_file(file=logging_file)

# Upload the logging file
Logging(bucket_name=bucket_name).upload_log(
    project='example-project', file=logging_file
)