diff --git a/Test_Log.md b/Test_Log.md
deleted file mode 100644
index 627f8e9..0000000
--- a/Test_Log.md
+++ /dev/null
@@ -1,107 +0,0 @@
-### Extraction Test ### 
-Removing existing CSV file exists <br />Confirming that CSV file doesn't exists... <br />Test Successful <br />Extracting data and saving... <br />Testing if CSV file exists... <br />Extraction Test Successful
-
-
-### Transform and Load Test ### 
-Creating non-lookup table: air_quality <br />Creating lookup table: indicator <br />Creating lookup table: geo_data <br />Tables created. <br />Skipping the first row... <br />Inserting table data... <br />Inserting table data completed <br />Transform and Load Test Successful
-
-
-### One Record Reading Test ### 
-Executing query... <br />
-```sql
-select * from air_quality where air_quality_id = 740885
-```
-
-Asserting that row[0][data_value] == 16.4 <br />Assert Successful <br />One Record Reading Test Successful
-
-
-### All Records Reading Test ### 
-Executing query... <br />
-```sql
-select * from air_quality
-```
-
-Asserting that len(rows) == 18016 <br />All Records Reading Test Successful
-
-
-### Record Saving Test ### 
-Asserting there's no record in geo_data with ID 100000 <br />Executing query... <br />
-```sql
-select * from geo_data where geo_id = 100000
-```
-
-Assert Successful <br />Saving new record with ID 100000 <br />Executing query... <br />
-```sql
-SELECT name FROM pragma_table_info('geo_data')
-```
-
-Executing query... <br />
-```sql
-INSERT INTO geo_data (geo_id, geo_place_name, geo_type_name) VALUES ('100000', 'Lancaster', 'UFO')
-```
-
-Asserting there's now a record in geo_data with ID 100000 <br />Executing query... <br />
-```sql
-select * from geo_data where geo_id = 100000
-```
-
-Assert Successful <br />Record Saving Test Successful
-
-
-### Record Update Test ### 
-Asserting 'geo_place_name' in geo_data for row ID 100000 is 'Lancaster' <br />Executing query... <br />
-```sql
-select * from geo_data where geo_id = 100000
-```
-
-Assert Successful <br />Updating 'geo_place_name' in geo_data for row ID 100000 is 'Duke' <br />Executing query... <br />
-```sql
-UPDATE geo_data SET geo_place_name='Duke' WHERE geo_id = 100000
-```
-
-Asserting 'geo_place_name' in geo_data for row ID 100000 is now 'Duke' <br />Executing query... <br />
-```sql
-select * from geo_data where geo_id = 100000
-```
-
-Assert Successful <br />Record Update Test Successful
-
-
-### Record Deletion Test ### 
-Asserting there's a record in geo_data for row ID 100000 <br />Executing query... <br />
-```sql
-select * from geo_data where geo_id = 100000
-```
-
-Assert Successful <br />Deleting record with ID 100000 <br />Executing query... <br />
-```sql
-delete from geo_data where geo_id = 100000
-```
-
-Asserting there's no record in geo_data with ID 100000 <br />Executing query... <br />
-```sql
-select * from geo_data where geo_id = 100000
-```
-
-Assert Successful <br />Record Deletion Test Successful
-
-
-### Reading All Column Test ### 
-Executing query... <br />
-```sql
-SELECT name FROM pragma_table_info('air_quality')
-```
-
-Asserting the air_quality table has six (6) columns <br />Assert Successful <br />Reading All Column Test Successful
-
-
-Executing query... <br />
-```sql
-select * from geo_data
-```
-
-Executing query... <br />
-```sql
-select * from indicator
-```
-
diff --git a/main.py b/main.py
deleted file mode 100644
index 0e6f81f..0000000
--- a/main.py
+++ /dev/null
@@ -1,145 +0,0 @@
-import sys
-import argparse
-from my_lib.extract import extract
-from my_lib.load import transform_n_load
-from my_lib.crud import (
-    read_data,
-    read_all_data,
-    save_data,
-    delete_data,
-    update_data,
-    get_table_columns,
-)
-import ast
-
-
-def handle_arguments(args):
-    """add action based on inital calls"""
-    parser = argparse.ArgumentParser(description="DE ETL And Query Script")
-    parser.add_argument(
-        "Functions",
-        choices=[
-            "extract",
-            "transform_n_load",
-            "read_data",
-            "read_all_data",
-            "save_data",
-            "delete_data",
-            "update_data",
-        ],
-    )
-
-    args = parser.parse_args(args[:1])
-    print(args.Functions)
-    if args.Functions == "extract":
-        parser.add_argument("url")
-        parser.add_argument("file_name")
-
-    elif args.Functions == "transform_n_load":
-        parser.add_argument("local_dataset")
-        parser.add_argument("database_name")
-        parser.add_argument("new_data_tables")
-        parser.add_argument("new_lookup_tables")
-        parser.add_argument("column_attributes")
-        parser.add_argument("column_map")
-
-    elif args.Functions == "read_data":
-        parser.add_argument("database_name")
-        parser.add_argument("table_name")
-        parser.add_argument("data_id")
-
-    elif args.Functions == "read_all_data":
-        parser.add_argument("database_name")
-        parser.add_argument("table_name")
-
-    elif args.Functions == "save_data":
-        parser.add_argument("database_name")
-        parser.add_argument("table_name")
-        parser.add_argument("row")
-
-    elif args.Functions == "update_data":
-        parser.add_argument("database_name")
-        parser.add_argument("table_name")
-        parser.add_argument("data_id")
-        parser.add_argument("things_to_update")
-
-    elif args.Functions == "delete_data":
-        parser.add_argument("database_name")
-        parser.add_argument("table_name")
-        parser.add_argument("data_id")
-
-    elif args.Functions == "get_table_columns":
-        parser.add_argument("database_name")
-        parser.add_argument("table_name")
-
-    # parse again
-    return parser.parse_args(sys.argv[1:])
-
-
-def main():
-    """handles all the cli commands"""
-
-    args = handle_arguments(sys.argv[1:])
-
-    if args.Functions == "extract":
-        print("Extracting data...")
-        print(extract(args.url, args.file_name))
-
-    elif args.Functions == "transform_n_load":
-        print("Transforming and loading data...")
-        print(
-            transform_n_load(
-                args.local_dataset,
-                args.database_name,
-                ast.literal_eval(args.new_data_tables),
-                ast.literal_eval(args.new_lookup_tables),
-                ast.literal_eval(args.column_attributes),
-                ast.literal_eval(args.column_map),
-            )
-        )
-
-    elif args.Functions == "read_data":
-        print(
-            read_data(
-                args.database_name, args.table_name, ast.literal_eval(args.data_id)
-            )
-        )
-
-    elif args.Functions == "read_all_data":
-        print(read_all_data(args.database_name, args.table_name))
-
-    elif args.Functions == "save_data":
-        print(
-            save_data(
-                args.database_name,
-                args.table_name,
-                ast.literal_eval(args.row),
-            )
-        )
-
-    elif args.action == "update_data":
-        print(
-            update_data(
-                args.database_name,
-                args.table_name,
-                ast.literal_eval(args.data_id),
-                ast.literal_eval(args.things_to_update),
-            )
-        )
-
-    elif args.Functions == "delete_data":
-        print(
-            delete_data(
-                args.database_name, args.table_name, ast.literal_eval(args.data_id)
-            )
-        )
-
-    elif args.Functions == "get_table_columns":
-        print(get_table_columns(args.database_name, args.table_name))
-
-    else:
-        print(f"Unknown function: {args.action}")
-
-
-if __name__ == "__main__":
-    main()
diff --git a/pyspark.py b/pyspark.py
deleted file mode 100644
index 390cb2a..0000000
--- a/pyspark.py
+++ /dev/null
@@ -1,35 +0,0 @@
-# from pyspark.sql import SparkSession
-# from pyspark.sql.functions import avg
-
-# # Initialize SparkSession
-# spark = SparkSession.builder \
-#     .appName("AverageIndicators") \
-#     .getOrCreate()
-
-# # Sample data
-# data = [
-#     (101, 'Area1', '2021-Q1', 50.0),
-#     (101, 'Area1', '2021-Q1', 70.0),
-#     (101, 'Area2', '2021-Q1', 80.0),
-#     (102, 'Area1', '2021-Q1', 60.0),
-#     (102, 'Area2', '2021-Q2', 90.0),
-#     (103, 'Area3', '2021-Q1', 40.0),
-#     (103, 'Area3', '2021-Q2', 50.0),
-#     (103, 'Area3', '2021-Q2', 70.0),
-# ]
-
-# columns = ["fn_indicator_id", "fn_geo_id", "time_period", "data_value"]
-
-# # Create DataFrame
-# df = spark.createDataFrame(data, columns)
-
-# # Calculate the average
-# avg_df = df.groupBy("fn_indicator_id", "fn_geo_id", "time_period") \
-#            .agg(avg("data_value").alias("average_data_value"))
-
-# # Order the results
-# avg_df_ordered = avg_df.orderBy("fn_indicator_id", "fn_geo_id", "time_period")
-# avg_df_ordered.show()
-
-# # Stop SparkSession
-# spark.stop()
\ No newline at end of file
diff --git a/test_main.py b/test_main.py
deleted file mode 100644
index b168a36..0000000
--- a/test_main.py
+++ /dev/null
@@ -1,231 +0,0 @@
-from my_lib.extract import extract
-from my_lib.load import transform_n_load
-from my_lib.util import log_tests
-import os
-import pyspark
-
-
-
-from my_lib.crud import (
-    read_data,
-    read_all_data,
-    save_data,
-    delete_data,
-    update_data,
-    get_table_columns,
-)
-
-column_map = {
-    "air_quality_id": 0,
-    "indicator_id": 1,
-    "indicator_name": 2,
-    "measure": 3,
-    "measure_info": 4,
-    "geo_type_name": 5,
-    "geo_id": 6,
-    "geo_place_name": 7,
-    "time_period": 8,
-    "start_date": 9,
-    "data_value": 10,
-    "fn_geo_id": 6,
-    "fn_indicator_id": 1,
-}
-
-
-# Test extract
-def test_extract():
-    log_tests("Extraction Test", header=True, new_log_file=True)
-    log_tests("Removing existing CSV file exists")
-    if os.path.exists("data/air_quality.csv"):
-        os.remove("data/air_quality.csv")
-
-    log_tests("Confirming that CSV file doesn't exists...")
-    assert not os.path.exists("population_bar.png")
-    log_tests("Test Successful")
-
-    log_tests("Extracting data and saving...")
-    extract(
-        "https://data.cityofnewyork.us/resource/c3uy-2p5r.csv?$limit=200000",
-        "air_quality.csv",
-    )
-
-    log_tests("Testing if CSV file exists...")
-    assert os.path.exists("data/air_quality.csv")
-    log_tests("Extraction Test Successful", last_in_group=True)
-    print("Extraction Test Successful")
-
-
-# Test transform and load
-def test_transform_and_load():
-    log_tests("Transform and Load Test", header=True)
-    transform_n_load(
-        local_dataset="air_quality.csv",
-        database_name="air_quality.db",
-        new_data_tables={
-            "air_quality": [
-                "air_quality_id",
-                "fn_indicator_id",
-                "fn_geo_id",
-                "time_period",
-                "start_date",
-                "data_value",
-            ],
-        },
-        new_lookup_tables={
-            "indicator": ["indicator_id", "indicator_name", "measure", "measure_info"],
-            "geo_data": ["geo_id", "geo_place_name", "geo_type_name"],
-        },
-        column_attributes={
-            "air_quality_id": "INTEGER PRIMARY KEY",
-            "indicator_id": "INTEGER PRIMARY KEY",
-            "indicator_name": "TEXT",
-            "measure": "TEXT",
-            "measure_info": "TEXT",
-            "geo_type_name": "TEXT",
-            "geo_id": "INTEGER PRIMARY KEY",
-            "geo_place_name": "TEXT",
-            "time_period": "TEXT",
-            "start_date": "TEXT",
-            "data_value": "REAL",
-            "fn_indicator_id": "INTEGER",
-            "fn_geo_id": "INTEGER",
-        },
-        column_map={
-            "air_quality_id": 0,
-            "indicator_id": 1,
-            "indicator_name": 2,
-            "measure": 3,
-            "measure_info": 4,
-            "geo_type_name": 5,
-            "geo_id": 6,
-            "geo_place_name": 7,
-            "time_period": 8,
-            "start_date": 9,
-            "data_value": 10,
-            "fn_geo_id": 6,
-            "fn_indicator_id": 1,
-        },
-    )
-    log_tests("Transform and Load Test Successful", last_in_group=True)
-    print("Transform and Load Test Successful")
-
-
-# Test read data
-def test_read_data():
-    log_tests("One Record Reading Test", header=True)
-    row = read_data("air_quality.db", "air_quality", 740885)
-    data_value = 5
-    log_tests("Asserting that row[0][data_value] == 16.4")
-    assert row[0][data_value] == 16.4
-    log_tests("Assert Successful")
-    log_tests("One Record Reading Test Successful", last_in_group=True)
-    print("One Record Reading Test Successful")
-
-
-# Test read all data
-def test_read_all_data():
-    log_tests("All Records Reading Test", header=True)
-    rows = read_all_data("air_quality.db", "air_quality")
-    log_tests("Asserting that len(rows) == 18016")
-    assert len(rows) == 18016
-    log_tests("All Records Reading Test Successful", last_in_group=True)
-    print("All Records Reading Test Successful")
-
-
-# Test save data
-def test_save_data():
-    log_tests("Record Saving Test", header=True)
-
-    log_tests("Asserting there's no record in geo_data with ID 100000")
-    result = read_data("air_quality.db", "geo_data", 100000)
-    assert result is None
-    log_tests("Assert Successful")
-
-    log_tests("Saving new record with ID 100000")
-    save_data("air_quality.db", "geo_data", ["100000", "Lancaster", "UFO"])
-
-    log_tests("Asserting there's now a record in geo_data with ID 100000")
-    result = read_data("air_quality.db", "geo_data", 100000)
-    assert len(result) == 1
-    log_tests("Assert Successful")
-
-    log_tests("Record Saving Test Successful", last_in_group=True)
-    print("Record Saving Test Successful")
-
-
-# Test update data
-def test_update_data():
-    log_tests("Record Update Test", header=True)
-
-    log_tests("Asserting 'geo_place_name' in geo_data for row ID 100000 is 'Lancaster'")
-    result = read_data("air_quality.db", "geo_data", 100000)
-    assert result[0][1] == "Lancaster"
-    log_tests("Assert Successful")
-
-    log_tests("Updating 'geo_place_name' in geo_data for row ID 100000 is 'Duke'")
-    update_data("air_quality.db", "geo_data", {"geo_place_name": "Duke"}, 100000)
-
-    log_tests("Asserting 'geo_place_name' in geo_data for row ID 100000 is now 'Duke'")
-    result = read_data("air_quality.db", "geo_data", 100000)
-    assert result[0][1] == "Duke"
-    log_tests("Assert Successful")
-
-    log_tests("Record Update Test Successful", last_in_group=True)
-    print("Record Update Test Successful")
-
-
-# Test delete data
-def test_delete_data():
-    log_tests("Record Deletion Test", header=True)
-
-    log_tests("Asserting there's a record in geo_data for row ID 100000")
-    result = read_data("air_quality.db", "geo_data", 100000)
-    assert len(result) == 1
-    log_tests("Assert Successful")
-
-    log_tests("Deleting record with ID 100000")
-    print(delete_data("air_quality.db", "geo_data", 100000))
-
-    log_tests("Asserting there's no record in geo_data with ID 100000")
-    result = read_data("air_quality.db", "geo_data", 100000)
-    assert result is None
-    log_tests("Assert Successful")
-
-    log_tests("Record Deletion Test Successful", last_in_group=True)
-    print("Record Deletion Test Successful")
-
-
-# Test read all column names
-def test_get_table_columns():
-    log_tests("Reading All Column Test", header=True)
-
-    columns = get_table_columns("air_quality.db", "air_quality")
-
-    log_tests("Asserting the air_quality table has six (6) columns")
-    assert len(columns) == 6
-    log_tests("Assert Successful")
-
-    log_tests("Reading All Column Test Successful", last_in_group=True)
-    print("Reading All Column Test Successful")
-
-
-# Two addtional queries to meet requirements
-def execute_two_addtional_queries():
-    print("****************Data in Geo_Data*************************")
-    rows = read_all_data("air_quality.db", "geo_data")
-    print("The number of rows retrieved is: ", len(rows))
-    print("****************Data in Indicator*************************")
-    print(read_all_data("air_quality.db", "indicator"))
-
-
-if __name__ == "__main__":
-    # test_extract()
-    # test_transform_and_load()
-    # test_read_data()
-    # test_read_all_data()
-    # test_save_data()
-    # test_update_data()
-    # test_delete_data()
-    # test_get_table_columns()
-    # execute_two_addtional_queries()
-    print(pyspark.__version__)
\ No newline at end of file