data-factory-utils
A package for random utils for data factories.
Installation
This is a published package. Install using your favourite installation method.
uv add data-factory-utils
pip install data-factory-utils
Usage
Environment functions
This set of functions reads from your data factory dynamically. It should infer the environment you are in as well.
No matter how many times you initiate the class, it will re-use old variables. To do so...
from data_factory_utils.environment import Environment
env = Environment(use_web_identity=False, kube=False, local=False)
To return information about the environment (if we are in development with account number 0101010101):
env.account_no
# 0101010101
env.environment_name
# dev
env.is_prod
# False
To get an S3 bucket name (outputted as cloudpathlib's S3Path) (let us imagine here that the name is emds-dev-random-name-202512161154001309058001):
s3_random_name_bucket = env.get_full_bucket_url("random-name", full_prefix=True)
print(str(s3_random_name_bucket.bucket))
# emds-dev-random-name-202512161154001309058001
1 maintainer
Metadata
1 maintainer
Release files for data-factory-utils 3.2.1
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| data_factory_utils-3.2.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 33.9 kB
Release files / data_factory_utils-3.2.1.tar.gz
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