diff --git a/test_file/__init__.py b/test_file/__init__.py
deleted file mode 100644
index 30e7b57..0000000
--- a/test_file/__init__.py
+++ /dev/null
@@ -1,170 +0,0 @@
-import azure.functions as func
-import os
-import datetime
-import logging
-import sys
-import importlib.util
-
-# Azure function timer. To alter timer cadence see function.json file
-def main(mytimer: func.TimerRequest) -> None:
-    utc_timestamp = datetime.datetime.utcnow().replace(
-        tzinfo=datetime.timezone.utc).isoformat()
-    
-    if mytimer.past_due:
-        logging.info('The timer is past due!')
-
-    logging.info('Python timer trigger function ran at %s', utc_timestamp)
-
-
-from sqlalchemy import create_engine
-from sparkpost import SparkPost
-from sparkpost.exceptions import SparkPostAPIException
-from tabulate import tabulate
-import pandas as pd
-
-# Create connection to snowflake db
-engine = create_engine(
-    'snowflake://{user}:{password}@{account}/'.format(
-        user=os.environ["SNOWFLAKE_USER"] ,
-        password=os.environ["SNOWFLAKE_PASSWORD"],
-        account=os.environ["SNOWFLAKE_ACCOUNT"],
-    )
-)
-
-
-# Generate strings of SQL
-usewh_string = "use warehouse ANALYST_WH;"
-usedb_string = "use FIVETRAN;"
-
-sql_string_1 = """
-select b.STATE
-    , a.name as PRODUCT_NAME
-    , BRAND
-    , VENDOR
-    , CATEGORY
-    ,  PRODUCT_TYPE
-    ,  UNIT
-    ,  FLAGGED_DATE
-    ,  FLAG_COMMENTS
-    ,  FLAGGED_BY
-    ,  concat('https://headset.azurewebsites.net/importedproducts/',IMPORTED_PRODUCT_ID) as link_to_imported_product
-    ,  imported_product_id
-    ,  a.STORE_ID
-    ,  FLAGGED
-from STAGING.IMPORTED_PRODUCTS a
-join BASE.STORES b
-on a.STORE_ID = b.STORE_ID
-where FLAGGED = TRUE
-and FLAGGED_DATE::date > current_date() - 8
-and FLAGGED_BY not ilike '%headset.io%'
-order by FLAGGED_DATE desc
-;
-"""
-
-sql_string_2 = """
-select d.NAME as user
-    ,  a.ACTION
-    ,  a.EVENTDATEPST
-    ,  a.UNLINKSOURCE
-    ,  a.IMPORTEDPRODUCTID
-    ,  f.state
-    ,  b.NAME as imported_product_name
-    ,  b.VENDOR as IP_vendor
-    ,  b.PRODUCT_TYPE as IP_product_type
-    ,  b.CATEGORY as IP_category
-    ,  b.brand as IP_category
-    ,  b.unit as IP_unit
-    ,  b.LINK_DATE
-    ,  b.LINKED_BY
-    ,  c.PRODUCT as headset_product
-    ,  e.name as headset_brand
-    ,  c.PRIMARY_TRAIT_VALUE
-    ,  c.CATEGORY as headset_category
-    ,  c.SEGMENT as headset_segment
-    ,  case when LINK_DATE < EVENTDATEPST then 1 else 0 end as link_first_flag
-from HS_DBO.LINKEVENTS a
-join STAGING.IMPORTED_PRODUCTS b
-    on a.IMPORTEDPRODUCTID = b.IMPORTED_PRODUCT_ID
-left join STAGING.PRODUCTS c
-    on a.PRODUCTID = c.PRODUCT_ID
-join HS_DBO.ASPNETUSERS d
-    on a.USERID = d.id
-left join BASE.BRANDS e
-    on e.BRAND_ID = c.BRAND_ID
-join base.stores f
-    on b.STORE_ID = f.STORE_ID
-where a.ACTION = 'Unlink'
-and a.EVENTDATEPST >= current_date() - 8
-order by EVENTDATEPST
-;
-"""
-
-
-try:
-    # Create connection to Snowflake
-    connection = engine.connect()
-    # Use analyst warehouse
-    connection.execute(usewh_string)
-    # Use FIVETRAN database
-    connection.execute(usedb_string)
-
-    # Execute strings 1 & 2 for requested SAMA reporting data
-    connection.execute(sql_string_1)
-    connection.execute(sql_string_2)
-
-    # Create a dataframe to hold the flagged products export
-    sql_df_1 = pd.read_sql_query(sql_string_1, connection)
-    # Create a dataframe to hold the unlink raw data
-    sql_df_2 = pd.read_sql_query(sql_string_2, connection)
-
-finally:
-    connection.close()
-    engine.dispose()
-
-
-dir_path = os.getcwd()
-
-filename_1 = dir_path+r'\headset_weekly_flag_export.csv'
-filename_2 = dir_path+r'\headset_weekly_unlink_export.csv'
-
-# Send the dfs to csvs
-sql_df_1.to_csv(filename_1,index=False)
-sql_df_2.to_csv(filename_2,index=False)
-
-
-# Create a sparkpost instance and enter API key
-sp = SparkPost(os.environ["SPARKPOST_KEY"])
-
-try:
-    response = sp.transmissions.send(
-        #recipients=['mlaferla@headset.io', 'cooper@headset.io', 'rmontenigro@headset.io', 'mfelipe@headset.io','jeniffer.aloo@nbo.samadc.org','nancy.mwangi@nbo.samadc.org','saveria.achieng@samasource.org','benjamin.ndungu@nbo.samadc.org','holuga@samasource.org'],
-        recipients=['mlaferla@headset.io'],
-        html='Hey, This is a test!',
-        from_email='analytics-monitor-test@headset.io',
-        subject='Test File',
-        attachments=[
-            {
-                "name": filename_1.split('\\')[-1],
-                "type": "text/csv",
-                "filename": filename_1
-            },
-            {
-                "name": filename_2.split('\\')[-1],
-                "type": "text/csv",
-                "filename": filename_2
-            }
-        ]
-    )
-
-except SparkPostAPIException as err:
-    # http response status code
-    print(err.status)
-    # python requests library response object
-    # http://docs.python-requests.org/en/master/api/#requests.Response
-    print(err.response.json())
-    # list of formatted errors
-    print(err.errors)
-
-# Finally, remove files
-os.remove(filename_1)
-os.remove(filename_2)
\ No newline at end of file
diff --git a/test_file/function.json b/test_file/function.json
deleted file mode 100644
index 91409ff..0000000
--- a/test_file/function.json
+++ /dev/null
@@ -1,14 +0,0 @@
-{
-    "scriptFile": "__init__.py",
-    "bindings": [
-      {
-        "name": "mytimer",
-        "type": "timerTrigger",
-        "useMonitor": true,
-        "runOnStartup": false,
-        "direction": "in",
-        "schedule": "*/20 * * * *"
-      }
-    ],
-    "disabled": false
-  }
\ No newline at end of file