Dummy Product Abstract Extractor¶

Generates dummy product data and returns structured rows. Supports bulk extraction, localization, and store mappings.

Configuration¶

Name	Type	Description
`numberOfProducts`	Attribute	Total number of products to generate
`numberOfLocales`	Attribute	Number of locales for localized product descriptions (default: 1)
`numberOfAttributes`	Attribute	Number of attributes assigned to each product (default: 5)
`numberOfStores`	Attribute	Number of stores where the product is available (default: 1)
`bulkSize`	Attribute	Number of products extracted in each batch (default: 100)

N/A (Data is dynamically generated based on configuration.)

<dummy-product-abstract numberOfProducts="100" numberOfLocales="5" numberOfAttributes="10" numberOfStores="3" bulkSize="20" />

sku	localized	storeIds	attributes
SKU_0	{}	[1, 2]	{“attribute_0”: “Attribute value 0”, “attribute_1”: “Attribute value 1”}
SKU_1	{}	[1, 2]	{“attribute_0”: “Attribute value 0”, “attribute_1”: “Attribute value 1”}

Error	Description
Incorrect Configuration	Throws an exception if the number of products or other attributes are negative.
Incorrect Attribute Format	JSON encoding errors may occur if attributes are improperly formatted.
Bulk Processing Issues	If `bulkSize` is larger than `numberOfProducts`, batch splitting might be incorrect.

Consideration	Description
Use an appropriate ``bulkSize``	Small sizes improve memory efficiency but increase processing time.
Ensure attribute encoding is valid JSON	Avoids issues with data parsing.
Validate all parameters before execution	Prevents runtime exceptions.

Feature	Description
Supports Bulk Product Extraction	Handles large datasets efficiently.
Generates Localized Product Data	Supports multiple locales dynamically.
Maps Products to Stores	Automatically assigns store IDs.
Processes Data in Chunks	Uses generators for optimized memory usage.
Flexible Attribute Handling	Dynamically creates product attributes.