Python client library for Google Cloud Platform services including Datastore, Storage, and Pub/Sub
Overall
score
93%
A simple inventory management system that efficiently updates multiple product records in a cloud datastore.
The system should update multiple product entities in the datastore efficiently using batch operations. All operations should be committed together as a single batch.
When using batch operations, if any error occurs during the batch, none of the changes should be committed to the datastore.
The system should support different types of operations (put, delete) within a single batch.
@generates
"""
Inventory updater module for batch datastore operations.
"""
def update_products_batch(client, products):
"""
Updates multiple products in the datastore using a batch operation.
Args:
client: A gcloud datastore Client instance
products: A list of dictionaries, each containing 'id', 'name', and 'stock'
Returns:
None
"""
pass
def batch_operations_with_delete(client, products_to_add, product_ids_to_delete):
"""
Performs mixed operations in a single batch: adds new products and deletes existing ones.
Args:
client: A gcloud datastore Client instance
products_to_add: A list of dictionaries, each containing 'id', 'name', and 'stock'
product_ids_to_delete: A list of product IDs (strings) to delete
Returns:
None
"""
passProvides Google Cloud Datastore client library with batch operations support.
@satisfied-by
Install with Tessl CLI
npx tessl i tessl/pypi-gcloudevals
scenario-1
scenario-2
scenario-3
scenario-4
scenario-5
scenario-6
scenario-7
scenario-8
scenario-9
scenario-10