Generación automatizada de descripciones de productos para Adobe Commerce (Magento 2)

• •Pueden requerirse credenciales de autenticación para la API de destino
• •Clave de API de OpenAI

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              "name": "searchCriteria[filter_groups][0][filters][0][field]",
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        "jsCode": "// Assuming the JSON data is stored in a variable called \"jsonData\"\nconst product = $(\"get Product without description\").first().json.items[0];\nconst data = $('Get attributes and options').first().json.items; // Extract the items containing attributes and options\nconst customAttributes = product.custom_attributes; // Extract the custom attributes\n//console.log(customAttributes);\n// Create a map of attribute_code to their options (for select-type attributes)\nconst attributeOptionsMap = {};\nfor (const attribute of data) {\n    if (attribute.options) {\n        attributeOptionsMap[attribute.attribute_code] = attribute.options;\n    }\n}\n// Loop over all custom attributes to check if they exist in the attributeOptionsMap\nfor (const customAttribute of customAttributes) {\n    const attributeCode = customAttribute.attribute_code;\n            //console.log(attributeCode);\n\n    // Check if this custom attribute exists in the attributeOptionsMap (i.e., it has options)\n    if (attributeOptionsMap[attributeCode]) {\n      \n        const attributeOptions = attributeOptionsMap[attributeCode];\n        const value = customAttribute.value;\n            //console.log(value);\n\n        // Find the label corresponding to the current value\n        const matchingOption = attributeOptions.find(option => option.value === value);\n        if (matchingOption) {\n            // Replace the value with the label\n            customAttribute.value = matchingOption.label;\n        }\n    }\n}\n// After this, customAttributes will have all applicable values replaced by their labels\nproduct.custom_attributes = customAttributes;\nreturn product;"
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        "content": "### Step 1: Get Product Information from Magento\n- Retrieves a single product that is missing a description.  \n- Reads all product attributes through the Magento API.  "
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        "content": "### Step 2: Generate Description with LLM\n- Resolves attribute options into **human-readable labels** (e.g. size = `3` → \"Large\").  \n- Prepares structured product data for use in the LLM prompt. \n- Passes the **readable product attributes** to an **Azure OpenAI** model.  \n- Uses a defined **prompt** to instruct the LLM on how to write the description.  \n- Produces a clear, engaging product description that can be tailored to brand or SEO needs.  \n- Allows easy replacement of Azure OpenAI with any other LLM node in n8n. "
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        "content": "### Step 3: Save Product in Magento\n- Takes the generated description and updates the product via the **Magento 2 API**.  \n- Ensures the new description is stored and visible on the webshop.  \n- Supports updating other fields if desired (e.g. short description, meta description).  \n- Confirms the product is enriched without requiring manual editing.  "
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        "content": "# 🛍️ Automated Product Description Generation for Adobe Commerce (Magento 2)\n\n## Description\nThis n8n template demonstrates how to automatically generate **product descriptions** for items in **Adobe Commerce (Magento 2)** that are missing one.  \n\nThe workflow retrieves product data, converts raw attribute values (like numeric IDs) into **human-readable labels**, and passes the enriched product data to an **LLM** (Azure OpenAI by default). The LLM generates a compelling description, which is then saved back to Magento using the API.  \n\nThis ensures all products have professional descriptions without manual writing effort.\n\n**Use cases include:**  \n- Auto-generating missing descriptions for catalog completeness.  \n- Creating consistent descriptions across large product datasets.  \n- Reducing manual workload for content managers.  \n- Tailoring descriptions for SEO and customer readability.  \n\n---\n\n## Good to know\n- All **attribute options** are resolved to human-readable labels before being sent to the LLM.  \n- The flow uses **Azure OpenAI**, but you can replace it with **OpenAI, Anthropic, Gemini, or other LLM providers**.  \n- The LLM prompt can be **customised** to adjust tone, length, SEO-focus, or specific brand style.  \n- Works out-of-the-box with Adobe Commerce (Magento 2) APIs, but can be adapted for other ecommerce systems.  \n\n---\n\n## How it works\n1. **Get Product from Magento**  \n   - Retrieves a product that has no description.  \n   - Collects all product attributes.\n\n2. **Generate Description with LLM**  \n   - Resolves attribute option IDs into **human-readable values** (e.g. `color_id = 23 → \"Red\"`).  \n   - Passes the readable product attributes to an **Azure OpenAI model**.  \n   - The LLM creates a clear, engaging product description.  \n   - The prompt can be customised (e.g. SEO-optimized, short catalog text, or marketing style).  \n\n3. **Save Description in Magento**  \n   - Updates the product via the **Magento API** with the generated description.  \n   - Ensures product data is enriched and visible in the webshop immediately.  \n\n---\n\n## How to use\n- Configure your **Magento 2 API credentials** in n8n.  \n- Replace the **Azure OpenAI** node with another provider if needed.  \n- Adjust the **prompt** to match your brand’s tone of voice.  \n- Run the workflow to automatically process products missing descriptions.  \n\n---\n\n## Requirements\n- ✅ n8n instance (self-hosted or cloud)  \n- ✅ Adobe Commerce (Magento 2) instance with API access  \n- ✅ Azure OpenAI (or other LLM provider) credentials  \n- (Optional) Prompt customisations for SEO or brand voice  \n\n---\n\n## Customising this workflow\nThis workflow can be adapted for:  \n- **Other attributes**: Include or exclude attributes (e.g. only color & size for apparel).  \n- **Different LLMs**: Swap Azure OpenAI for OpenAI, Anthropic, Gemini, or any supported n8n AI node.  \n- **Prompt tuning**: Adjust instructions to generate shorter, longer, or SEO-rich descriptions.  \n- **Selective updates**: Target only specific categories (e.g. electronics, fashion).  \n- **Multi-language support**: Generate product descriptions in multiple languages for international shops.  \n\n---\n"
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