From e280619f2f0ac6e6c80b4f7ca6a60eae8b5ad223 Mon Sep 17 00:00:00 2001
From: CameronCSS <cameronseamons@gmail.com>
Date: Tue, 9 Dec 2025 15:36:19 -0700
Subject: [PATCH] created branches script

---
 Scripts/Generate_branches.py | 40 ++++++++++++++++++++++++++++++++++++
 1 file changed, 40 insertions(+)
 create mode 100644 Scripts/Generate_branches.py

diff --git a/Scripts/Generate_branches.py b/Scripts/Generate_branches.py
new file mode 100644
index 0000000..f53aa63
--- /dev/null
+++ b/Scripts/Generate_branches.py
@@ -0,0 +1,40 @@
+from faker import Faker
+import pandas as pd
+import boto3
+
+# ---- Faker setup ----
+fake = Faker()
+
+# ---- Hetzner S3 setup ----
+s3 = boto3.resource(
+    's3',
+    endpoint_url='https://fsn1.your-objectstorage.com',
+    aws_access_key_id='LXH38VQ3K0A87TZS0KXP',                 
+    aws_secret_access_key='tkJt2iNjmEj1KAqtx2Tvb3WqQNkOxgqJzHC7Iq1H'             
+)
+
+bucket_name = 'CamDoesData'
+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 = "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}")