Definition af Weaviate-schema

import weaviate

if __name__ == "__main__":
    # Define a basic class schema
    article_class_schema = {
        "class": "Article",
        "description": "A class for storing articles"
    }
    print("--- Defined Article Class Schema ---")
    print(f"Class Name: {article_class_schema['class']}")
    print(f"Description: {article_class_schema['description']}")
    # In a real app, you'd add this to Weaviate:
    # client.schema.create_class(article_class_schema)

import weaviate

if __name__ == "__main__":
    # Define a class schema with properties
    article_class_with_props = {
        "class": "Article",
        "description": "A class for storing articles with properties",
        "properties": [
            {
                "name": "title",
                "dataType": ["text"],
                "description": "The title of the article"
            },
            {
                "name": "content",
                "dataType": ["text"],
                "description": "The main content of the article"
            },
            {
                "name": "wordCount",
                "dataType": ["int"],
                "description": "The number of words in the article"
            }
        ]
    }
    print("--- Defined Article Class with Properties ---")
    print(f"Class Name: {article_class_with_props['class']}")
    for prop in article_class_with_props['properties']:
        print(f"  Property: {prop['name']}, Type: {prop['dataType'][0]}")
    # client.schema.create_class(article_class_with_props)

import weaviate

if __name__ == "__main__":
    # Example of a class with vectorizer configuration
    product_class_schema = {
        "class": "Product",
        "description": "A class for e-commerce products",
        "vectorizer": "text2vec-openai", # Or "text2vec-huggingface", etc.
        "vectorIndexConfig": {
            "efConstruction": 128,
            "maxConnections": 64,
            "ef": -1 # default for queries
        },
        "properties": [
            {"name": "name", "dataType": ["text"]},
            {"name": "description", "dataType": ["text"]}
        ]
    }
    print("--- Defined Product Class with Vector Config ---")
    print(f"Class Name: {product_class_schema['class']}")
    print(f"Vectorizer: {product_class_schema['vectorizer']}")
    print(f"Vector Index Config (efConstruction): {product_class_schema['vectorIndexConfig']['efConstruction']}")
    # client.schema.create_class(product_class_schema)

import weaviate

if __name__ == "__main__":
    # Imagine 'Article' class already exists
    # This defines the NEW property to add
    new_property = {
        "name": "category",
        "dataType": ["text"],
        "description": "The category of the article"
    }
    print("--- New Property Definition ---")
    print(f"Name: {new_property['name']}, Type: {new_property['dataType'][0]}")
    # In a real app, you'd add this to Weaviate:
    # client.schema.property.create(
    #     class_name="Article",
    #     property=new_property
    # )
    print("\nTo add this, you'd call client.schema.property.create(class_name, property_object)")