import ollama
import os

client = ollama.Client(host="https://ollama.sirblob.co")
DEFAULT_MODEL = "nomic-embed-text:latest"

def get_embedding(text, model=DEFAULT_MODEL):
    try:
        response = client.embeddings(model=model, prompt=text)
        return response["embedding"]
    except Exception as e:
        print(f"Error getting embedding from Ollama: {e}")
        raise e

def get_embeddings_batch(texts, model=DEFAULT_MODEL, batch_size=50):
    all_embeddings = []
    
    for i in range(0, len(texts), batch_size):
        batch = texts[i:i + batch_size]
        try:
            response = client.embed(model=model, input=batch)
            
            if "embeddings" in response:
                all_embeddings.extend(response["embeddings"])
            else:
                raise ValueError("Unexpected response format from client.embed")
                
        except Exception as e:
            print(f"Error embedding batch {i}-{i+batch_size}: {e}")
            raise e
            
    return all_embeddings