Final updates on Tutorial. Creates days to billion folder

Author: alexwhite-pattern

days_to_billion/manifest.yml

@@ -0,0 +1,4 @@
+manifest_version: 1
+artifacts:
+  setup_script: scripts/setup.sql
+  readme: readme.md

tutorial/python/hello_python.py

@@ -0,0 +1,2 @@
+def multiply(num1, num2):
+  return num1*num2

tutorial/scripts/setup.sql

@@ -13,4 +13,41 @@ CREATE OR REPLACE PROCEDURE CORE.HELLO()
     RETURN 'Hello Snowflake!';
   END;
 
-  GRANT USAGE ON PROCEDURE core.hello() TO APPLICATION ROLE app_public;
+  GRANT USAGE ON PROCEDURE core.hello() TO APPLICATION ROLE app_public;
+
+CREATE OR ALTER VERSIONED SCHEMA code_schema;
+GRANT USAGE ON SCHEMA code_schema TO APPLICATION ROLE app_public;
+
+CREATE VIEW IF NOT EXISTS code_schema.accounts_view
+  AS SELECT ID, NAME, VALUE
+  FROM shared_data.accounts;
+GRANT SELECT ON VIEW code_schema.accounts_view TO APPLICATION ROLE app_public;
+
+CREATE OR REPLACE FUNCTION code_schema.addone(i int)
+RETURNS INT
+LANGUAGE PYTHON
+RUNTIME_VERSION = '3.8'
+HANDLER = 'addone_py'
+AS
+$$
+def addone_py(i):
+  return i+1
+$$;
+
+GRANT USAGE ON FUNCTION code_schema.addone(int) TO APPLICATION ROLE app_public;
+
+CREATE or REPLACE FUNCTION code_schema.multiply(num1 float, num2 float)
+  RETURNS float
+  LANGUAGE PYTHON
+  RUNTIME_VERSION=3.8
+  IMPORTS = ('/python/hello_python.py')
+  HANDLER='hello_python.multiply';
+
+GRANT USAGE ON FUNCTION code_schema.multiply(FLOAT, FLOAT) TO APPLICATION ROLE app_public;
+
+CREATE STREAMLIT code_schema.hello_snowflake_streamlit
+  FROM '/streamlit'
+  MAIN_FILE = '/hello_snowflake.py'
+;
+
+GRANT USAGE ON STREAMLIT code_schema.hello_snowflake_streamlit TO APPLICATION ROLE app_public;

tutorial/streamlit/hello_snowflake.py

@@ -0,0 +1,24 @@
+# Import python packages
+import streamlit as st
+from snowflake.snowpark.context import get_active_session
+
+# Write directly to the app
+st.title("Hello Snowflake - Streamlit Edition")
+st.write(
+   """The following data is from the accounts table in the application package.
+      However, the Streamlit app queries this data from a view called
+      code_schema.accounts_view.
+   """
+)
+
+# Get the current credentials
+session = get_active_session()
+
+#  Create an example data frame
+data_frame = session.sql("SELECT * FROM code_schema.accounts_view;")
+
+# Execute the query and convert it into a Pandas data frame
+queried_data = data_frame.to_pandas()
+
+# Display the Pandas data frame as a Streamlit data frame.
+st.dataframe(queried_data, use_container_width=True)