azure-integration 0.0.3

Microsoft Azure Integration

Azure Integration

this package is an azure integration to use in the DTRG team.

for now, we just have vault integration in the package.

HOW TO USE

- From pypi

first, you need to install the package. to do so create a personal access token and then connect to the feed according to these instructions. (choose pip)

then install the package:

$ pip install azure-integration==0.0.2

- From Azure Artifacts

there's another way to get the package from azure artifacts, by running this command:

$ az artifacts universal download \
  --organization "https://dev.azure.com/keyleadhealth/" \
  --project "da4824a3-d087-4024-a144-a3d3265a9d6e" \
  --scope project \
  --feed "azure-integration" \
  --name "azure-integration" \
  --version "0.0.2" \
  --path .

then install the package using pip through your environment:

$ pip install azure_integration-0.0.1-py3-none-any.whl

you need to set these env variables to access to azure:

AZURE_CLIENT_ID=YOUR_CLIENT_ID
AZURE_CLIENT_SECRET=YOUR_CLIENT_SECRET
AZURE_TENANT_ID=YOUR_TENANT_ID

then you can use it like this:

from keyvault import SecretClient

client = SecretClient(VAULT_NAME)
client.get_secret(SECRET_NAME)  # this returns KeyVaultSecret object
client.get_secret(SECRET_NAME).value  # this returns secret value as string

also, you can get a dict of secrets wherever you need, ex setting.py:

from keyvault import SecretClient

[... whatever settings ...]

client = SecretClient(VAULT_NAME)
needed_secrets = {
    "SECRET_NAME": "SECRET_VERSION", # you can leave version blank
    "SECOND_SECRET_NAME": "SECOND_SECRET_VERSION"
}
c.get_secrets(needed_secrets)  # this will return results as KeyVaultSecret
c.get_secrets_values(needed_secrets)  # this will return results as str

note that you don't need to assign get_secrets and get_secrets_values functions' return value and that's because it will modify the given dict object and you can access the values within it.

HOW TO BUILD

if you want to build the module yourself follow the steps:

• clone this repository.
• create a venv inside it.
• install requirements by running:

$ pip install -r requirements.txt

• then build it:

$ python -m build