Metadata-Version: 2.1
Name: omd-emea
Version: 0.1.2
Summary: Generic code for processing and execution for OMD EMEA
Home-page: UNKNOWN
Author: Aniruddha Sengupta
Author-email: aniruddha.sengupta@omd.com
License: UNKNOWN
Keywords: python,omd,general,generic
Platform: UNKNOWN
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Description-Content-Type: text/markdown
Requires-Dist: requests
Requires-Dist: pandas
Requires-Dist: facebook-business
Requires-Dist: google
Requires-Dist: google-api-python-client
Requires-Dist: google-cloud
Requires-Dist: google-cloud-storage
Requires-Dist: google-cloud-bigquery-storage
Requires-Dist: sqlalchemy
Requires-Dist: selenium

# OMD-EMEA Code Repository
![omd_emea_logo](https://media-exp1.licdn.com/dms/image/C560BAQH4gAcoGLvOXw/company-logo_200_200/0/1550908541605?e=2159024400&v=beta&t=-mbAVfcNG2Np3iAs38fIVcUbX0332TIi5Y9Xus4elF4 "Logo Title Text 1")

## 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)](https://pypi.org/project/omd-emea/):

```commandline
pip install omd-emea
```

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

```commandline
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:

```python
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:

```python
from omd_emea.general.general_functions import General

General.send_email_func(receiver_email='aniruddha.sengupta@omd.com',
                        message='Hello, this is a test',
                        username='omddataengineering@gmail.com',
                        password='pwd')
```

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

```python
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
)
```

