removed olf version

Scripts/Generate_branches.py

@@ -1,45 +0,0 @@
-from faker import Faker
-from dotenv import load_dotenv
-import os
-import pandas as pd
-import boto3
-
-# ---- Faker setup ----
-fake = Faker()
-
-# ---- Hetzner S3 setup ----
-# Load .env file
-load_dotenv()
-
-s3 = boto3.resource(
-    's3',
-    endpoint_url=os.getenv('STORAGE_ENDPOINT'),
-    aws_access_key_id=os.getenv('STORAGE_ACCESS_KEY'),
-    aws_secret_access_key=os.getenv('STORAGE_SECRET_KEY')
-)
-
-bucket_name = os.getenv('STORAGE_BUCKET')
-s3_key = 'DataLab/branches/branches.csv'  
-
-# ---- Generate branch data ----
-branches = []
-
-for i in range(1, 11):  # 10 Branches
-    branches.append({
-        "branch_id": i,
-        "branch_name": f"{fake.city()} Branch",
-        "address": fake.street_address(),
-        "city": fake.city(),
-        "state": fake.state()
-    })
-
-df = pd.DataFrame(branches)
-
-# ---- Save locally (optional) ----
-local_file = "../Data/branches.csv"
-df.to_csv(local_file, index=False)
-print("Generated 10 branches locally.")
-
-# ---- Upload to S3 ----
-s3.Bucket(bucket_name).upload_file(local_file, s3_key)
-print(f"Uploaded branches.csv to s3://{bucket_name}/{s3_key}")