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maker-space
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import os
from dotenv import load_dotenv

import weaviate.classes as wvcc
import weaviate
from weaviate.classes.config import Property, DataType
import weaviate.classes as wvc

load_dotenv()


def init_client():
    """connects to data base
    source: https://weaviate.io/developers/weaviate/tutorials/connect
    """
    client = weaviate.connect_to_wcs(
    cluster_url=os.getenv("YOUR_WCS_URL"),  # Set this environment variable
    auth_credentials=weaviate.auth.AuthApiKey(
        os.getenv("YOUR_WCS_AUTH_KEY")
    ),  # Set this environment variable
    )
    return client



x = 0

try:
    client = init_client()
    client.collections.create(
    name="Component",
    description="Component of a given Apparatus",
    vectorizer_config=wvc.config.Configure.Vectorizer.text2vec_openai(),
    properties=[
        # wvc.config.Property(name="id", data_type=wvc.config.DataType.UUID),
        wvc.config.Property(name="DateCreated", data_type=wvc.config.DataType.DATE),
        wvc.config.Property(name="UsedInComps", data_type=wvc.config.DataType.TEXT_ARRAY),
        wvc.config.Property(name="FeildsOfStudy", data_type=wvc.config.DataType.TEXT_ARRAY),
        wvc.config.Property(name="ToolName", data_type=wvc.config.DataType.TEXT),
        wvc.config.Property(name="Tags", data_type=wvc.config.DataType.TEXT_ARRAY),
        wvc.config.Property(name="GlbBlob", data_type=wvc.config.DataType.BLOB),
    ]
)
finally:
    client.close()

try:
    client = init_client()
    client.collections.create(
    name="ScienceEperiment",
    description="Science Experiment with the goal of making something",
    vectorizer_config=wvc.config.Configure.Vectorizer.text2vec_openai(),
    properties=[
        # wvc.config.Property(name="id", data_type=wvc.config.DataType.UUID),
        wvc.config.Property(name="DateCreated", data_type=wvc.config.DataType.DATE),
        wvc.config.Property(name="UsedInComps", data_type=wvc.config.DataType.TEXT_ARRAY),
        wvc.config.Property(name="FeildsOfStudy", data_type=wvc.config.DataType.TEXT_ARRAY),
        wvc.config.Property(name="ToolName", data_type=wvc.config.DataType.TEXT),
        wvc.config.Property(name="Tags", data_type=wvc.config.DataType.TEXT_ARRAY),
    ]
)
finally:
    client.close()

try:
    client = init_client()
    client.collections.create(
    name="ComponentImage",
    description="An image to gain visual context on a component",
    vectorizer_config=wvc.config.Configure.Vectorizer.text2vec_openai(),
    properties=[
        # wvc.config.Property(name="id", data_type=wvc.config.DataType.UUID),
        wvc.config.Property(name="DateCreated", data_type=wvc.config.DataType.DATE),
        wvc.config.Property(name="ImageContent", data_type=wvc.config.DataType.BLOB),
        wvc.config.Property(name="ImageAngle", data_type=wvc.config.DataType.TEXT_ARRAY),
        wvc.config.Property(name="BelongsToComponent", data_type=wvc.config.DataType.UUID),
    ]
)
finally:
    client.close()



def main():
    pass

if __name__ == '__main__':
    x = 0