Task Done

populate_database.py

@@ -0,0 +1,56 @@
+import pandas as pd
+import sqlite3
+
+#----CSV Files paths
+csv_file_0 = 'data/shipping_data_0.csv'
+csv_file_1 = 'data/shipping_data_1.csv'
+csv_file_2 = 'data/shipping_data_2.csv'
+database_path = 'shipment_database.db'
+
+#----Reading CSV files into DataFrames
+df0 = pd.read_csv(csv_file_0)
+df1 = pd.read_csv(csv_file_1)
+df2 = pd.read_csv(csv_file_2)
+
+#---Printing columns to debug
+print("Columns in df1:", df1.columns)
+print("Columns in df2:", df2.columns)
+
+#---Combining data from shipping_data_1.csv and shipping_data_2.csv
+df_combined = pd.merge(df1, df2, on='shipment_identifier')
+
+#---Calculating total quantities for each shipment
+df_combined['total_quantity'] = df_combined.groupby('shipment_identifier')['product'].transform('size')
+
+#---Connecting to SQLite database
+conn = sqlite3.connect(database_path)
+cursor = conn.cursor()
+
+#---Creating table shipping_data_1 if not exists
+cursor.execute('''
+    CREATE TABLE IF NOT EXISTS shipping_data_1 (
+        shipment_identifier TEXT,
+        product TEXT,
+        on_time TEXT,
+        origin_warehouse TEXT,
+        destination_store TEXT,
+        driver_identifier TEXT,
+        quantity INTEGER
+    )
+''')
+
+#--Inserting data from shipping_data_0.csv
+df0.to_sql('shipping_data_0', conn, if_exists='append', index=False)
+
+#---Inserting combined data into shipping_data_1 table
+for index, row in df_combined.iterrows():
+    cursor.execute("""
+    INSERT INTO shipping_data_1 (shipment_identifier, product, on_time, origin_warehouse, destination_store, driver_identifier, quantity)
+    VALUES (?, ?, ?, ?, ?, ?, ?)
+    """, (row['shipment_identifier'], row['product'], row['on_time'], row['origin_warehouse'], row['destination_store'], row['driver_identifier'], row['total_quantity']))
+
+#---Commiting and close connection
+conn.commit()
+conn.close()
+
+print("Data inserted successfully!")

script.py

@@ -0,0 +1,2 @@
+import pdfkit
+pdfkit.from_file('script.py', 'script.pdf')