Optimize imports

pyproject.toml

@@ -3,7 +3,7 @@ name = "reviewsense-ecom"
 version = "0.1.0"
 description = ""
 authors = [
-    {name = "BRellu",email = "brellu@nisum.com"}
+    { name = "BRellu", email = "brellu@nisum.com" }
 ]
 readme = "README.md"
 requires-python = ">=3.12,<4.0"
@@ -22,7 +22,7 @@ dependencies = [
 
 [tool.poetry]
 package-mode = false
-packages = [{include = "reviewsense_ecom", from = "src"}]
+packages = [{ include = "reviewsense_ecom", from = "src" }]
 
 
 [build-system]

src/reviewsense_ecom/llm/llm.py

-from langchain_groq import ChatGroq
 from functools import lru_cache
 
-from langchain_core.messages import BaseMessage
-from langchain_core.prompts import ChatPromptTemplate
+from langchain_groq import ChatGroq
 
 
 @lru_cache(maxsize=1)  # Cache only one instance (singleton behavior)

src/reviewsense_ecom/main.py

 from fastapi import FastAPI
-from router.routes import router
 from fastapi.middleware.cors import CORSMiddleware
 
+from router.routes import router
+
 
 def create_app() -> FastAPI:
     """

src/reviewsense_ecom/model/FeatureSentiment.py

 from dataclasses import dataclass, field
-from typing import List, Dict, Optional
-from bson import ObjectId
+from typing import List
+
 
 @dataclass
 class FeatureSentiment:

src/reviewsense_ecom/model/PercentageResponseModel.py

 from pydantic import BaseModel
+
+
 class PercentageResponseModel(BaseModel):
     positive_percentage: str
     negative_percentage: str

src/reviewsense_ecom/model/Product.py

@@ -57,5 +57,3 @@ class Product:
             "created_at": {"$date": self.created_at.isoformat() + "Z"} if self.created_at else None,
             "updated_at": {"$date": self.updated_at.isoformat() + "Z"} if self.updated_at else None
         }
-
-

src/reviewsense_ecom/model/ProductReview.py

 from dataclasses import dataclass, field
 from typing import List, Dict, Optional, Any
-from bson import ObjectId
+
 from pydantic import Field
 
 

src/reviewsense_ecom/model/UserMessage.py

-from pydantic import BaseModel, Field
-from typing import List, Optional
+from pydantic import BaseModel
+
 
 class UserMessage(BaseModel):
     message: str = "suggest me a mobile with okay battery backup"

src/reviewsense_ecom/model/product_review_input.py

-from pydantic import BaseModel, Field
 from typing import List, Optional
 
+from pydantic import BaseModel, Field
+
 
 class ProductReviewInput(BaseModel):
     """Input model for product review processing"""

src/reviewsense_ecom/mongo/mongo_db_config.py

 import urllib.parse
+from datetime import datetime, timezone
 
 from pymongo import MongoClient
-from datetime import datetime, timezone
-from src.reviewsense_ecom.model.ProductReview import ProductReview
-from src.reviewsense_ecom.model.Product import Product
+
 from src.reviewsense_ecom.model.FeatureSentiment import FeatureSentiment
-from dotenv import load_dotenv
-import os
+from src.reviewsense_ecom.model.Product import Product
+from src.reviewsense_ecom.model.ProductReview import ProductReview
+
 
 # def get_db_connection(collection_name: str):   #LOCAL DB
 #     client = MongoClient("mongodb://localhost:27017/")  # Update with your MongoDB connection
@@ -14,13 +14,15 @@ import os
 #     return db[collection_name]  # db["productFeatureRater"]  # Change to your collection name
 
 
-def get_db_connection(collection_name: str):  #get_db_cloud_connection
-    password="nisum@123"
+def get_db_connection(collection_name: str):  # get_db_cloud_connection
+    password = "nisum@123"
     escaped_password = urllib.parse.quote_plus(password)
-    client = MongoClient(f"mongodb+srv://genai:{escaped_password}@productrater.hpbsn.mongodb.net/?retryWrites=true&w=majority&appName=productRater")  # Update with your MongoDB connection
+    client = MongoClient(
+        f"mongodb+srv://genai:{escaped_password}@productrater.hpbsn.mongodb.net/?retryWrites=true&w=majority&appName=productRater")  # Update with your MongoDB connection
     db = client["productRater"]  # Change to your database name
     return db[collection_name]
 
+
 def insert_product(product_id):  # Use this method to insert if null
     collection = get_db_connection("productFeatureRater")
     new_product = {

src/reviewsense_ecom/retriever/retrieval.py

 # src/reviewsense/core/database.py
 from functools import lru_cache
-from langchain_huggingface import HuggingFaceEmbeddings
-from langchain_astradb import AstraDBVectorStore
 
+from langchain_astradb import AstraDBVectorStore
+from langchain_huggingface import HuggingFaceEmbeddings
 
 
 @lru_cache(maxsize=1)

src/reviewsense_ecom/router/routes.py

@@ -3,14 +3,14 @@ import logging
 from fastapi import APIRouter, HTTPException
 
 from src.reviewsense_ecom.model.PercentageResponseModel import PercentageResponseModel
+from src.reviewsense_ecom.model.Product import Product
 from src.reviewsense_ecom.model.ReviewResponseModel import ReviewResponseModel
+from src.reviewsense_ecom.model.product_review_input import ProductReviewInput
+from src.reviewsense_ecom.mongo.mongo_db_config import get_product_by_id, update_product, add_review_features, \
+    insert_product, product_feature
 from src.reviewsense_ecom.service.FeatureUpdater import FeatureUpdater
-from src.reviewsense_ecom.model.Product import Product
 from src.reviewsense_ecom.service.ReviewService import ReviewService
 from src.reviewsense_ecom.service.feature_extractor import FeatureExtractor
-from src.reviewsense_ecom.mongo.mongo_db_config import get_product_by_id, update_product, add_review_features, \
-    insert_product, product_feature
-from src.reviewsense_ecom.model.product_review_input import ProductReviewInput
 
 router = APIRouter()
 review_service = ReviewService()

src/reviewsense_ecom/service/feature_extractor.py

-from pydantic import BaseModel
+import os
+import re
+from typing import List, Dict
+
+from dotenv import load_dotenv
 from langchain.prompts import ChatPromptTemplate
 from langchain_core.output_parsers import JsonOutputParser
-from typing import List, Dict
+from pydantic import BaseModel
+
 from src.reviewsense_ecom.llm.llm import get_llm
-import re
-from dotenv import load_dotenv
-import os
 
 # Load environment variables from .env file
 load_dotenv()

src/reviewsense_ecom/service/review_rater.py

 # router/review_rater.py
 from collections import defaultdict
 from typing import Dict, List, Optional
+
 import numpy as np
 from transformers import pipeline