Adding instructions about the configuration and secrets

.github/workflows/containers-and-az-pool.yaml

@@ -212,7 +212,7 @@ jobs:
           pip install -r azure/requirements.txt
           python3 azure/pool.py \
             pool-config-${{ github.sha }}.toml \
-            ../batch-autoscale-formula.txt
+            batch-autoscale-formula.txt
 
 
       #########################################################################

README.md

@@ -112,7 +112,7 @@ The project has multiple GitHub Actions workflows to automate the CI/CD process.
 
 - **Create Batch Pool and Submit Jobs** (`batch-pool`): This final job creates a new Azure batch pool with id `cfa-epinow2-pool-[branch name]` if it doesn't already exist. Additionally, if the commit message contains the string "`[delete pool]`", the pool is deleted.
 
-Both container tags and pool ids are based on the branch name, making it compatible with having multiple pipelines running simultaneously.
+Both container tags and pool ids are based on the branch name, making it compatible with having multiple pipelines running simultaneously. The pool creation depends on Azure's Python SDK (see the file [azure/pool.py](azure/pool.py)), with the necessary configuration in a toml file stored as a secret in the repository (`POOL_CONFIG_TOML`).
 
 > [!IMPORTANT]
 > The CI will fail with branch names that are not valid tag names for containers. For more information, see the official Azure documentation [here](https://learn.microsoft.com/en-us/azure/azure-resource-manager/management/resource-name-rules#microsoftcontainerregistry).

azure/pool.py

@@ -27,8 +27,7 @@ def create_container(blob_service_client: BlobServiceClient, container_name: str
 
 
 def get_autoscale_formula(fn):
-    autoscale_file = os.path.join(sys.path[0], fn)
-    with open(autoscale_file, "r") as autoscale_text:
+    with open(fn, "r") as autoscale_text:
         return autoscale_text.read()
 
 if __name__ == "__main__":