From 7dc9ecc6db2d7623a37fe81c984a7a9b417ecb33 Mon Sep 17 00:00:00 2001 From: CameronCSS Date: Sun, 18 Jan 2026 19:01:33 -0700 Subject: [PATCH] removed olf version --- Scripts/Generate_branches.py | 45 ------------------------------------ 1 file changed, 45 deletions(-) delete mode 100644 Scripts/Generate_branches.py diff --git a/Scripts/Generate_branches.py b/Scripts/Generate_branches.py deleted file mode 100644 index fff92be..0000000 --- a/Scripts/Generate_branches.py +++ /dev/null @@ -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}")