pineconevectors.py

import uuid
import pinecone
class Pinecone:
    def __init__(self, api_key, environment, index_name):
        self.api_key = api_key
        self.environment = environment
        self.index_name = index_name
        self.index = None

    def initialize_index(self):
        pinecone.init(api_key=self.api_key, environment=self.environment)
        self.index = pinecone.Index(self.index_name)
        return self.index

    def upsert_data(self, img_id, embeddings, path, img_url, page_url, face_coordinates, single_face):
        vec_id = str(uuid.uuid4())
        data = []
        embedding_as_list = embeddings.tolist()
        if face_coordinates is not None:
            coordinates_1d = [str(coord) for coord in face_coordinates]
            metadata = {'Image id': img_id, 'directory path': path, 'Image URL': img_url, 'Page URL': page_url, 'Face Coordinates': coordinates_1d, 'Single Face': single_face}        

        data.append((vec_id, embedding_as_list, metadata))
        self.index.upsert(data)

    def search_data(self, query_embedding):
       
        matches = self.index.query(
            vector=query_embedding,
            top_k=10,
            include_values=True,
            include_metadata = True
        )
        return matches