ProductServiceAsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.retail_v2.services.product_service.transports.base.ProductServiceTransport] = 'grpc_asyncio', client_options: Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)
Service for ingesting Product information of the customer's website.
Inheritance
builtins.object > ProductServiceAsyncClientProperties
transport
Returns the transport used by the client instance.
Type | Description |
ProductServiceTransport | The transport used by the client instance. |
Methods
ProductServiceAsyncClient
ProductServiceAsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.retail_v2.services.product_service.transports.base.ProductServiceTransport] = 'grpc_asyncio', client_options: Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)
Instantiates the product service client.
Name | Description |
credentials |
Optional[google.auth.credentials.Credentials]
The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment. |
transport |
Union[str, `.ProductServiceTransport`]
The transport to use. If set to None, a transport is chosen automatically. |
client_options |
ClientOptions
Custom options for the client. It won't take effect if a |
Type | Description |
google.auth.exceptions.MutualTlsChannelError | If mutual TLS transport creation failed for any reason. |
add_fulfillment_places
add_fulfillment_places(request: Optional[Union[google.cloud.retail_v2.types.product_service.AddFulfillmentPlacesRequest, dict]] = None, *, product: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Incrementally adds place IDs to xref_Product.fulfillment_info.place_ids.
This process is asynchronous and does not require the xref_Product to exist before updating fulfillment information. If the request is valid, the update will be enqueued and processed downstream. As a consequence, when a response is returned, the added place IDs are not immediately manifested in the xref_Product queried by xref_GetProduct or xref_ListProducts.
This feature is only available for users who have Retail Search enabled. Please enable Retail Search on Cloud Console before using this feature.
from google.cloud import retail_v2
async def sample_add_fulfillment_places():
# Create a client
client = retail_v2.ProductServiceAsyncClient()
# Initialize request argument(s)
request = retail_v2.AddFulfillmentPlacesRequest(
product="product_value",
type_="type__value",
place_ids=['place_ids_value_1', 'place_ids_value_2'],
)
# Make the request
operation = client.add_fulfillment_places(request=request)
print("Waiting for operation to complete...")
response = await operation.result()
# Handle the response
print(response)
Name | Description |
request |
Union[google.cloud.retail_v2.types.AddFulfillmentPlacesRequest, dict]
The request object. Request message for [AddFulfillmentPlaces][] method. |
product |
`str`
Required. Full resource name of Product, such as |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
google.api_core.operation_async.AsyncOperation | An object representing a long-running operation. The result type for the operation will be AddFulfillmentPlacesResponse Response of the AddFulfillmentPlacesRequest. Currently empty because there is no meaningful response populated from the [AddFulfillmentPlaces][] method. |
add_local_inventories
add_local_inventories(request: Optional[Union[google.cloud.retail_v2.types.product_service.AddLocalInventoriesRequest, dict]] = None, *, product: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Updates local inventory information for a xref_Product at a list of places, while respecting the last update timestamps of each inventory field.
This process is asynchronous and does not require the xref_Product to exist before updating inventory information. If the request is valid, the update will be enqueued and processed downstream. As a consequence, when a response is returned, updates are not immediately manifested in the xref_Product queried by xref_GetProduct or xref_ListProducts.
Local inventory information can only be modified using this method. xref_CreateProduct and xref_UpdateProduct has no effect on local inventories.
This feature is only available for users who have Retail Search enabled. Please enable Retail Search on Cloud Console before using this feature.
from google.cloud import retail_v2
async def sample_add_local_inventories():
# Create a client
client = retail_v2.ProductServiceAsyncClient()
# Initialize request argument(s)
request = retail_v2.AddLocalInventoriesRequest(
product="product_value",
)
# Make the request
operation = client.add_local_inventories(request=request)
print("Waiting for operation to complete...")
response = await operation.result()
# Handle the response
print(response)
Name | Description |
request |
Union[google.cloud.retail_v2.types.AddLocalInventoriesRequest, dict]
The request object. Request message for [AddLocalInventories][] method. |
product |
`str`
Required. Full resource name of Product, such as |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
google.api_core.operation_async.AsyncOperation | An object representing a long-running operation. The result type for the operation will be AddLocalInventoriesResponse Response of the [AddLocalInventories][] API. Currently empty because there is no meaningful response populated from the [AddLocalInventories][] method. |
branch_path
branch_path(project: str, location: str, catalog: str, branch: str)
Returns a fully-qualified branch string.
common_billing_account_path
common_billing_account_path(billing_account: str)
Returns a fully-qualified billing_account string.
common_folder_path
common_folder_path(folder: str)
Returns a fully-qualified folder string.
common_location_path
common_location_path(project: str, location: str)
Returns a fully-qualified location string.
common_organization_path
common_organization_path(organization: str)
Returns a fully-qualified organization string.
common_project_path
common_project_path(project: str)
Returns a fully-qualified project string.
create_product
create_product(request: Optional[Union[google.cloud.retail_v2.types.product_service.CreateProductRequest, dict]] = None, *, parent: Optional[str] = None, product: Optional[google.cloud.retail_v2.types.product.Product] = None, product_id: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Creates a xref_Product.
from google.cloud import retail_v2
async def sample_create_product():
# Create a client
client = retail_v2.ProductServiceAsyncClient()
# Initialize request argument(s)
product = retail_v2.Product()
product.title = "title_value"
request = retail_v2.CreateProductRequest(
parent="parent_value",
product=product,
product_id="product_id_value",
)
# Make the request
response = await client.create_product(request=request)
# Handle the response
print(response)
Name | Description |
request |
Union[google.cloud.retail_v2.types.CreateProductRequest, dict]
The request object. Request message for [CreateProduct][] method. |
parent |
`str`
Required. The parent catalog resource name, such as |
product |
Product
Required. The Product to create. This corresponds to the |
product_id |
`str`
Required. The ID to use for the Product, which will become the final component of the Product.name. If the caller does not have permission to create the Product, regardless of whether or not it exists, a PERMISSION_DENIED error is returned. This field must be unique among all Products with the same parent. Otherwise, an ALREADY_EXISTS error is returned. This field must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an INVALID_ARGUMENT error is returned. This corresponds to the |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
google.cloud.retail_v2.types.Product | Product captures all metadata information of items to be recommended or searched. |
delete_product
delete_product(request: Optional[Union[google.cloud.retail_v2.types.product_service.DeleteProductRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Deletes a xref_Product.
from google.cloud import retail_v2
async def sample_delete_product():
# Create a client
client = retail_v2.ProductServiceAsyncClient()
# Initialize request argument(s)
request = retail_v2.DeleteProductRequest(
name="name_value",
)
# Make the request
await client.delete_product(request=request)
Name | Description |
request |
Union[google.cloud.retail_v2.types.DeleteProductRequest, dict]
The request object. Request message for [DeleteProduct][] method. |
name |
`str`
Required. Full resource name of Product, such as |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
from_service_account_file
from_service_account_file(filename: str, *args, **kwargs)
Creates an instance of this client using the provided credentials file.
Name | Description |
filename |
str
The path to the service account private key json file. |
Type | Description |
ProductServiceAsyncClient | The constructed client. |
from_service_account_info
from_service_account_info(info: dict, *args, **kwargs)
Creates an instance of this client using the provided credentials info.
Name | Description |
info |
dict
The service account private key info. |
Type | Description |
ProductServiceAsyncClient | The constructed client. |
from_service_account_json
from_service_account_json(filename: str, *args, **kwargs)
Creates an instance of this client using the provided credentials file.
Name | Description |
filename |
str
The path to the service account private key json file. |
Type | Description |
ProductServiceAsyncClient | The constructed client. |
get_mtls_endpoint_and_cert_source
get_mtls_endpoint_and_cert_source(
client_options: Optional[google.api_core.client_options.ClientOptions] = None,
)
Return the API endpoint and client cert source for mutual TLS.
The client cert source is determined in the following order:
(1) if GOOGLE_API_USE_CLIENT_CERTIFICATE
environment variable is not "true", the
client cert source is None.
(2) if client_options.client_cert_source
is provided, use the provided one; if the
default client cert source exists, use the default one; otherwise the client cert
source is None.
The API endpoint is determined in the following order:
(1) if client_options.api_endpoint
if provided, use the provided one.
(2) if GOOGLE_API_USE_CLIENT_CERTIFICATE
environment variable is "always", use the
default mTLS endpoint; if the environment variabel is "never", use the default API
endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise
use the default API endpoint.
More details can be found at https://google.aip.dev/auth/4114.
Name | Description |
client_options |
google.api_core.client_options.ClientOptions
Custom options for the client. Only the |
Type | Description |
google.auth.exceptions.MutualTLSChannelError | If any errors happen. |
Type | Description |
Tuple[str, Callable[[], Tuple[bytes, bytes]]] | returns the API endpoint and the client cert source to use. |
get_product
get_product(request: Optional[Union[google.cloud.retail_v2.types.product_service.GetProductRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Gets a xref_Product.
from google.cloud import retail_v2
async def sample_get_product():
# Create a client
client = retail_v2.ProductServiceAsyncClient()
# Initialize request argument(s)
request = retail_v2.GetProductRequest(
name="name_value",
)
# Make the request
response = await client.get_product(request=request)
# Handle the response
print(response)
Name | Description |
request |
Union[google.cloud.retail_v2.types.GetProductRequest, dict]
The request object. Request message for [GetProduct][] method. |
name |
`str`
Required. Full resource name of Product, such as |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
google.cloud.retail_v2.types.Product | Product captures all metadata information of items to be recommended or searched. |
get_transport_class
get_transport_class()
Returns an appropriate transport class.
import_products
import_products(request: Optional[Union[google.cloud.retail_v2.types.import_config.ImportProductsRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Bulk import of multiple xref_Products.
Request processing may be synchronous. No partial updating is supported. Non-existing items are created.
Note that it is possible for a subset of the xref_Products to be successfully updated.
from google.cloud import retail_v2
async def sample_import_products():
# Create a client
client = retail_v2.ProductServiceAsyncClient()
# Initialize request argument(s)
input_config = retail_v2.ProductInputConfig()
input_config.product_inline_source.products.title = "title_value"
request = retail_v2.ImportProductsRequest(
parent="parent_value",
input_config=input_config,
)
# Make the request
operation = client.import_products(request=request)
print("Waiting for operation to complete...")
response = await operation.result()
# Handle the response
print(response)
Name | Description |
request |
Union[google.cloud.retail_v2.types.ImportProductsRequest, dict]
The request object. Request message for Import methods. |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
google.api_core.operation_async.AsyncOperation | An object representing a long-running operation. The result type for the operation will be ImportProductsResponse Response of the ImportProductsRequest. If the long running operation is done, then this message is returned by the google.longrunning.Operations.response field if the operation was successful. |
list_products
list_products(request: Optional[Union[google.cloud.retail_v2.types.product_service.ListProductsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Gets a list of xref_Products.
from google.cloud import retail_v2
async def sample_list_products():
# Create a client
client = retail_v2.ProductServiceAsyncClient()
# Initialize request argument(s)
request = retail_v2.ListProductsRequest(
parent="parent_value",
)
# Make the request
page_result = client.list_products(request=request)
# Handle the response
async for response in page_result:
print(response)
Name | Description |
request |
Union[google.cloud.retail_v2.types.ListProductsRequest, dict]
The request object. Request message for ProductService.ListProducts method. |
parent |
`str`
Required. The parent branch resource name, such as |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
google.cloud.retail_v2.services.product_service.pagers.ListProductsAsyncPager | Response message for ProductService.ListProducts method. Iterating over this object will yield results and resolve additional pages automatically. |
parse_branch_path
parse_branch_path(path: str)
Parses a branch path into its component segments.
parse_common_billing_account_path
parse_common_billing_account_path(path: str)
Parse a billing_account path into its component segments.
parse_common_folder_path
parse_common_folder_path(path: str)
Parse a folder path into its component segments.
parse_common_location_path
parse_common_location_path(path: str)
Parse a location path into its component segments.
parse_common_organization_path
parse_common_organization_path(path: str)
Parse a organization path into its component segments.
parse_common_project_path
parse_common_project_path(path: str)
Parse a project path into its component segments.
parse_product_path
parse_product_path(path: str)
Parses a product path into its component segments.
product_path
product_path(project: str, location: str, catalog: str, branch: str, product: str)
Returns a fully-qualified product string.
remove_fulfillment_places
remove_fulfillment_places(request: Optional[Union[google.cloud.retail_v2.types.product_service.RemoveFulfillmentPlacesRequest, dict]] = None, *, product: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Incrementally removes place IDs from a xref_Product.fulfillment_info.place_ids.
This process is asynchronous and does not require the xref_Product to exist before updating fulfillment information. If the request is valid, the update will be enqueued and processed downstream. As a consequence, when a response is returned, the removed place IDs are not immediately manifested in the xref_Product queried by xref_GetProduct or xref_ListProducts.
This feature is only available for users who have Retail Search enabled. Please enable Retail Search on Cloud Console before using this feature.
from google.cloud import retail_v2
async def sample_remove_fulfillment_places():
# Create a client
client = retail_v2.ProductServiceAsyncClient()
# Initialize request argument(s)
request = retail_v2.RemoveFulfillmentPlacesRequest(
product="product_value",
type_="type__value",
place_ids=['place_ids_value_1', 'place_ids_value_2'],
)
# Make the request
operation = client.remove_fulfillment_places(request=request)
print("Waiting for operation to complete...")
response = await operation.result()
# Handle the response
print(response)
Name | Description |
request |
Union[google.cloud.retail_v2.types.RemoveFulfillmentPlacesRequest, dict]
The request object. Request message for [RemoveFulfillmentPlaces][] method. |
product |
`str`
Required. Full resource name of Product, such as |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
google.api_core.operation_async.AsyncOperation | An object representing a long-running operation. The result type for the operation will be RemoveFulfillmentPlacesResponse Response of the RemoveFulfillmentPlacesRequest. Currently empty because there is no meaningful response populated from the [RemoveFulfillmentPlaces][] method. |
remove_local_inventories
remove_local_inventories(request: Optional[Union[google.cloud.retail_v2.types.product_service.RemoveLocalInventoriesRequest, dict]] = None, *, product: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Remove local inventory information for a xref_Product at a list of places at a removal timestamp.
This process is asynchronous. If the request is valid, the removal will be enqueued and processed downstream. As a consequence, when a response is returned, removals are not immediately manifested in the xref_Product queried by xref_GetProduct or xref_ListProducts.
Local inventory information can only be removed using this method. xref_CreateProduct and xref_UpdateProduct has no effect on local inventories.
This feature is only available for users who have Retail Search enabled. Please enable Retail Search on Cloud Console before using this feature.
from google.cloud import retail_v2
async def sample_remove_local_inventories():
# Create a client
client = retail_v2.ProductServiceAsyncClient()
# Initialize request argument(s)
request = retail_v2.RemoveLocalInventoriesRequest(
product="product_value",
place_ids=['place_ids_value_1', 'place_ids_value_2'],
)
# Make the request
operation = client.remove_local_inventories(request=request)
print("Waiting for operation to complete...")
response = await operation.result()
# Handle the response
print(response)
Name | Description |
request |
Union[google.cloud.retail_v2.types.RemoveLocalInventoriesRequest, dict]
The request object. Request message for [RemoveLocalInventories][] method. |
product |
`str`
Required. Full resource name of Product, such as |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
google.api_core.operation_async.AsyncOperation | An object representing a long-running operation. The result type for the operation will be RemoveLocalInventoriesResponse Response of the [RemoveLocalInventories][] API. Currently empty because there is no meaningful response populated from the [RemoveLocalInventories][] method. |
set_inventory
set_inventory(request: Optional[Union[google.cloud.retail_v2.types.product_service.SetInventoryRequest, dict]] = None, *, inventory: Optional[google.cloud.retail_v2.types.product.Product] = None, set_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Updates inventory information for a xref_Product while respecting the last update timestamps of each inventory field.
This process is asynchronous and does not require the xref_Product to exist before updating fulfillment information. If the request is valid, the update will be enqueued and processed downstream. As a consequence, when a response is returned, updates are not immediately manifested in the xref_Product queried by xref_GetProduct or xref_ListProducts.
When inventory is updated with xref_CreateProduct and xref_UpdateProduct, the specified inventory field value(s) will overwrite any existing value(s) while ignoring the last update time for this field. Furthermore, the last update time for the specified inventory fields will be overwritten to the time of the xref_CreateProduct or xref_UpdateProduct request.
If no inventory fields are set in xref_CreateProductRequest.product, then any pre-existing inventory information for this product will be used.
If no inventory fields are set in xref_SetInventoryRequest.set_mask, then any existing inventory information will be preserved.
Pre-existing inventory information can only be updated with xref_SetInventory, xref_AddFulfillmentPlaces, and xref_RemoveFulfillmentPlaces.
This feature is only available for users who have Retail Search enabled. Please enable Retail Search on Cloud Console before using this feature.
from google.cloud import retail_v2
async def sample_set_inventory():
# Create a client
client = retail_v2.ProductServiceAsyncClient()
# Initialize request argument(s)
inventory = retail_v2.Product()
inventory.title = "title_value"
request = retail_v2.SetInventoryRequest(
inventory=inventory,
)
# Make the request
operation = client.set_inventory(request=request)
print("Waiting for operation to complete...")
response = await operation.result()
# Handle the response
print(response)
Name | Description |
request |
Union[google.cloud.retail_v2.types.SetInventoryRequest, dict]
The request object. Request message for [SetInventory][] method. |
inventory |
Product
Required. The inventory information to update. The allowable fields to update are: - Product.price_info - Product.availability - Product.available_quantity - Product.fulfillment_info The updated inventory fields must be specified in SetInventoryRequest.set_mask. If [SetInventoryRequest.inventory.name][] is empty or invalid, an INVALID_ARGUMENT error is returned. If the caller does not have permission to update the Product named in Product.name, regardless of whether or not it exists, a PERMISSION_DENIED error is returned. If the Product to update does not have existing inventory information, the provided inventory information will be inserted. If the Product to update has existing inventory information, the provided inventory information will be merged while respecting the last update time for each inventory field, using the provided or default value for SetInventoryRequest.set_time. The caller can replace place IDs for a subset of fulfillment types in the following ways: - Adds "fulfillment_info" in SetInventoryRequest.set_mask - Specifies only the desired fulfillment types and corresponding place IDs to update in [SetInventoryRequest.inventory.fulfillment_info][] The caller can clear all place IDs from a subset of fulfillment types in the following ways: - Adds "fulfillment_info" in SetInventoryRequest.set_mask - Specifies only the desired fulfillment types to clear in [SetInventoryRequest.inventory.fulfillment_info][] - Checks that only the desired fulfillment info types have empty [SetInventoryRequest.inventory.fulfillment_info.place_ids][] The last update time is recorded for the following inventory fields: - Product.price_info - Product.availability - Product.available_quantity - Product.fulfillment_info If a full overwrite of inventory information while ignoring timestamps is needed, [UpdateProduct][] should be invoked instead. This corresponds to the |
set_mask |
`google.protobuf.field_mask_pb2.FieldMask`
Indicates which inventory fields in the provided Product to update. At least one field must be provided. If an unsupported or unknown field is provided, an INVALID_ARGUMENT error is returned and the entire update will be ignored. This corresponds to the |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
google.api_core.operation_async.AsyncOperation | An object representing a long-running operation. The result type for the operation will be SetInventoryResponse Response of the SetInventoryRequest. Currently empty because there is no meaningful response populated from the [SetInventory][] method. |
update_product
update_product(request: Optional[Union[google.cloud.retail_v2.types.product_service.UpdateProductRequest, dict]] = None, *, product: Optional[google.cloud.retail_v2.types.product.Product] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Updates a xref_Product.
from google.cloud import retail_v2
async def sample_update_product():
# Create a client
client = retail_v2.ProductServiceAsyncClient()
# Initialize request argument(s)
product = retail_v2.Product()
product.title = "title_value"
request = retail_v2.UpdateProductRequest(
product=product,
)
# Make the request
response = await client.update_product(request=request)
# Handle the response
print(response)
Name | Description |
request |
Union[google.cloud.retail_v2.types.UpdateProductRequest, dict]
The request object. Request message for [UpdateProduct][] method. |
product |
Product
Required. The product to update/create. If the caller does not have permission to update the Product, regardless of whether or not it exists, a PERMISSION_DENIED error is returned. If the Product to update does not exist and allow_missing is not set, a NOT_FOUND error is returned. This corresponds to the |
update_mask |
`google.protobuf.field_mask_pb2.FieldMask`
Indicates which fields in the provided Product to update. The immutable and output only fields are NOT supported. If not set, all supported fields (the fields that are neither immutable nor output only) are updated. If an unsupported or unknown field is provided, an INVALID_ARGUMENT error is returned. This corresponds to the |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
google.cloud.retail_v2.types.Product | Product captures all metadata information of items to be recommended or searched. |