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# utils.py
import openai
from pinecone import Pinecone, ServerlessSpec
import pandas as pd
from typing import List
# Function to get embeddings from OpenAI's model
def get_embedding(text: str, openai_api_key: str, model: str = "text-embedding-ada-002") -> List[float]:
"""
Get embeddings for a given text using OpenAI's model.
Args:
text (str): Text to be embedded.
openai_api_key (str): OpenAI API key.
model (str): Model to be used for embedding. Default is "text-embedding-ada-002".
Returns:
List[float]: Embedding vector.
"""
openai.api_key = openai_api_key
try:
response = openai.Embedding.create(
model=model,
input=text
)
return response['data'][0]['embedding']
except Exception as e:
print(f"Error getting embedding: {e}")
return []
# Function to process the uploaded CSV and store embeddings in Pinecone
def process_csv(file, openai_api_key: str, pinecone_api_key: str, pinecone_env: str) -> str:
"""
Process the uploaded CSV file and store embeddings in Pinecone.
Args:
file: Uploaded CSV file.
openai_api_key (str): OpenAI API key.
pinecone_api_key (str): Pinecone API key.
pinecone_env (str): Pinecone environment.
Returns:
str: Status message.
"""
try:
df = pd.read_csv(file.name)
# Initialize Pinecone
pc = Pinecone(api_key=pinecone_api_key)
index_name = "product-recommendations"
# Check if index exists
if index_name not in pc.list_indexes().names():
try:
pc.create_index(
name=index_name,
dimension=1536,
spec=ServerlessSpec(cloud="aws", region=pinecone_env)
)
except Exception as e:
print(f"Error creating Pinecone index: {e}")
return "Failed to create Pinecone index."
index = pc.Index(index_name)
embeddings = []
for i, row in df.iterrows():
embedding = get_embedding(row['description'], openai_api_key)
if embedding:
embeddings.append((str(row['product_id']), embedding, {'product_name': row['product_name'], 'image_url': row['image_url']}))
if embeddings:
try:
index.upsert(embeddings)
except Exception as e:
print(f"Error upserting embeddings to Pinecone: {e}")
return "Failed to upsert embeddings."
return "Product catalog processed and embeddings stored in Pinecone."
except Exception as e:
print(f"Error processing CSV file: {e}")
return "Failed to process CSV file." |