Create app.py

app.py

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+from fastapi import FastAPI
+from fastapi.responses import FileResponse
+import csv
+import random
+import datetime
+
+app = FastAPI()
+
+# Sample data for randomization
+shipper_names = ["Global Express", "Fast Ship Logistics", "Secure Courier"]
+cities_states = [("New York", "NY"), ("Los Angeles", "CA"), ("Chicago", "IL"), ("Houston", "TX"), ("Miami", "FL")]
+shipping_methods = ["FedEx", "UPS", "DHL", "USPS"]
+weight_range = (0.5, 50)  # Min and max weight in kg
+csv_filename = "realistic_shipping_data.csv"
+
+# Function to generate a random phone number
+def random_phone():
+    return f"+1-{random.randint(200, 999)}-{random.randint(100, 999)}-{random.randint(1000, 9999)}"
+
+# Function to generate a random tracking number
+def generate_tracking(carrier):
+    prefix = {"FedEx": "FDX", "UPS": "UPS", "DHL": "DHL", "USPS": "USPS"}.get(carrier, "TRK")
+    return f"{prefix}-{random.randint(100000, 999999)}"
+
+# Function to generate the shipping CSV file
+def generate_csv():
+    shipping_data = []
+    for order_id in range(1001, 1011):  # Generating 10 orders
+        order_date = datetime.datetime.now() - datetime.timedelta(days=random.randint(1, 30))
+        delivery_date = order_date + datetime.timedelta(days=random.randint(2, 10))
+
+        shipper = random.choice(shipper_names)
+        shipper_city, shipper_state = random.choice(cities_states)
+        receiver_city, receiver_state = random.choice(cities_states)
+
+        shipping_method = random.choice(shipping_methods)
+        weight = round(random.uniform(*weight_range), 2)
+        tracking_number = generate_tracking(shipping_method)
+
+        shipping_data.append({
+            "Order ID": order_id,
+            "Order Date": order_date.strftime("%Y-%m-%d %H:%M:%S"),
+            "Shipper Name": shipper,
+            "Shipper Address": f"{random.randint(100, 999)} {shipper_city} St, {shipper_city}, {shipper_state}",
+            "Shipper Phone": random_phone(),
+            "Receiver Name": f"Customer {order_id}",
+            "Receiver Address": f"{random.randint(100, 999)} {receiver_city} Ave, {receiver_city}, {receiver_state}",
+            "Receiver Phone": random_phone(),
+            "Package Weight (kg)": weight,
+            "Shipping Method": shipping_method,
+            "Tracking Number": tracking_number,
+            "Estimated Delivery Date": delivery_date.strftime("%Y-%m-%d")
+        })
+
+    # Define CSV column headers
+    csv_columns = ["Order ID", "Order Date", "Shipper Name", "Shipper Address", "Shipper Phone", "Receiver Name",
+                   "Receiver Address", "Receiver Phone", "Package Weight (kg)", "Shipping Method", "Tracking Number",
+                   "Estimated Delivery Date"]
+
+    # Write data to CSV file
+    with open(csv_filename, mode="w", newline="") as file:
+        writer = csv.DictWriter(file, fieldnames=csv_columns)
+        writer.writeheader()
+        writer.writerows(shipping_data)
+
+# API Route to Generate and Download CSV
+@app.get("/generate-csv")
+def download_csv():
+    generate_csv()
+    return FileResponse(csv_filename, media_type="text/csv", filename=csv_filename)
+
+@app.get("/")
+def root():
+    return {"message": "Welcome to the Shipping CSV Generator API! Use /generate-csv to download the file."}