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mysnowsight.py
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import re
import streamlit as st
import pandas as pd
import snowflake.connector
from snowflake.connector.pandas_tools import write_pandas
import time
from datetime import datetime
import os
import pathlib
import textwrap
from PIL import Image
import google.generativeai as genai
from concurrent.futures import ThreadPoolExecutor
st.set_page_config(
page_title="MYSNOWSIGHT",
page_icon=" ",
layout="wide",
initial_sidebar_state="expanded",
)
tab1, tab2, tab3 , tab4,tab5 = st.tabs(["PARALLEL EXECUTE", "LOAD FILE", "DOCUMENT AI", "GENERATE DDL","REPLICATE DATABASE"])
# Sidebar for Snowflake credentials
with st.sidebar:
st.markdown("[](https://www.linkedin.com/in/mahantesh-hiremath/) Connect me.")
st.sidebar.header("Snowflake Credentials")
account = st.sidebar.text_input("Account")
role = st.sidebar.text_input("Role")
warehouse = st.sidebar.text_input("Warehouse")
database = st.sidebar.text_input("Database")
schema = st.sidebar.text_input("Schema")
user = st.sidebar.text_input("User")
password = st.sidebar.text_input("Password", type="password")
# Create a Snowflake connection function
def create_snowflake_connection(account, role, warehouse, database, schema, user, password):
try:
conn = snowflake.connector.connect(
account=account,
role=role,
warehouse=warehouse,
database=database,
schema=schema,
user=user,
password=password,
client_session_keep_alive=True
)
st.toast("Connection to Snowflake successfully!", icon='🎉')
time.sleep(.5)
st.balloons()
except Exception as e:
st.error(f"Error connecting to Snowflake: {str(e)}")
return conn
with tab1:
# Function to execute queries in parallel
def execute_queries(queries):
with ThreadPoolExecutor(max_workers=len(queries)) as executor:
results = list(executor.map(execute_single_query, queries))
return results
# Function to execute a single query
def execute_single_query(query):
connection = create_snowflake_connection(account, role, warehouse, database, schema, user, password)
cursor = connection.cursor()
start_time = time.time()
try:
cursor.execute(query)
result = cursor.fetchall()
elapsed_time = time.time() - start_time
return f"Query: {query}\nResult: {result}\nTime taken: {elapsed_time:.2f} seconds"
except connection.connector.errors.ProgrammingError as e:
return f"Query: {query}\nError: {str(e)}\nTime taken: {elapsed_time:.2f} seconds"
finally:
cursor.close()
connection.close()
# Streamlit UI
# Connect button
def main():
if st.sidebar.button("Connect"):
#st.sidebar.set_visible(False)
connection = create_snowflake_connection(account, role, warehouse, database, schema, user, password)
st.title("My Snowsight")
#link to YouTube channel
# st.markdown(" 👉 [🎥Visit my YouTube channel for more details](https://bit.ly/atozaboutdata)")
st.markdown('<p style="color: yellow;">👉🎥 Visit my YouTube channel for more details <a href="https://bit.ly/atozaboutdata">🎥click</a></p>', unsafe_allow_html=True)
# Text area to input queries
queries = st.text_area("Input queries separated by ; to execute all in parallel",height=200)
query_list = [q.strip() for q in queries.split(';') if q.strip()]
if st.button("Execute Queries"):
if query_list:
with st.spinner("Executing all queries..."):
results = execute_queries(query_list)
st.success("All queries executed!")
for res in results:
st.write(res)
if __name__ == "__main__":
main()
with tab2:
def main():
st.title('Upload File to Snowflake')
# st.markdown(" 👉 [🎥Visit my YouTube channel for more details](https://bit.ly/atozaboutdata)")
st.markdown('<p style="color: yellow;">👉🎥 Visit my YouTube channel for more details <a href="https://bit.ly/atozaboutdata">🎥click</a></p>', unsafe_allow_html=True)
file = st.file_uploader('Upload file', type=['xls', 'xlsx', 'csv', 'txt'])
if file is not None:
# Read the file
file_extension = file.name.split('.')[-1]
if file_extension.lower() in ['xls', 'xlsx', 'csv', 'txt']:
data = pd.read_excel(file) if file_extension.lower() in ['xls', 'xlsx'] else pd.read_csv(file, encoding='latin-1')
st.subheader('Preview of Uploaded Data')
st.write(data.head())
# Save data to Snowflake
conn = create_snowflake_connection(account, role, warehouse, database, schema, user, password)
if conn:
st.info('Connected to Snowflake!')
table_name = st.text_input('Enter table name in Snowflake')
if st.button('Save to Snowflake'):
try:
data_f=pd.DataFrame(data)
success, nchunks, nrows, _ = write_pandas(conn=conn,df=data_f,table_name=table_name,database=database,schema=schema,auto_create_table=True)
st.success(f'Dataloaded to snowflake table: {table_name} rows : {nrows}')
except Exception as e:
st.error(f'Error: {str(e)}')
else:
st.error('Unable to connect to Snowflake. Please check your credentials.')
if __name__ == '__main__':
main()
with tab3:
def main():
def get_gemini_response(input,image,prompt):
model = genai.GenerativeModel('gemini-pro-vision')
response = model.generate_content([input,image[0],prompt])
return response.text
def input_image_setup(uploaded_file):
# Check if a file has been uploaded
if uploaded_file is not None:
# Read the file into bytes
bytes_data = uploaded_file.getvalue()
image_parts = [
{
"mime_type": uploaded_file.type, # Get the mime type of the uploaded file
"data": bytes_data
}
]
return image_parts
else:
raise FileNotFoundError("No file uploaded")
st.markdown('<p style="color: yellow;">👉🎥 Visit my YouTube channel for more details <a href="https://bit.ly/atozaboutdata">🎥click</a></p>', unsafe_allow_html=True)
st.title('Document AI: Upload invoices and ask question')
left, right= st.columns(2)
with right:
uploaded_file = st.file_uploader("upload image",type=["jpg", "jpeg", "png"])
image=""
if uploaded_file is not None:
image = Image.open(uploaded_file)
st.image(image, caption="Uploaded Image.", use_column_width=True)
with left:
google_api_key = st.text_input("INPUT GOOGLE_API_KEY",key="google_api_key")
genai.configure(api_key=google_api_key)
st.header("Invoice reader Application")
input=st.text_input("Ask about invoice: ",key="input")
submit=st.button("Submit",key="submit")
input_prompt = """
You are an expert in understanding invoices.
You will receive input images or PDF as invoices &
you will have to answer questions based on the input image
"""
if submit:
image_data = input_image_setup(uploaded_file)
response=get_gemini_response(input_prompt,image_data,input)
st.subheader("Answer: ")
st.write(response)
# current_timestamp = pd.Timestamp.now() # Correct usage of datetime module
date_time =datetime.fromtimestamp(time.time())
# Dataframe creation with file details, question, response, and timestamp
data_to_save = pd.DataFrame({
'FILENAME': [uploaded_file.name if uploaded_file else None],
'QUESTION': [input],
'RESPONSE': [response],
'TIMESTAMP':[date_time]
})
st.subheader('Preview of Uploaded Data')
st.write(data_to_save.head())
table_name='INVOICE_DATA'
write_pandas(conn=create_snowflake_connection(account, role, warehouse, database, schema, user, password),df=data_to_save,table_name=table_name,database=database,schema=schema,auto_create_table=True)
if __name__ == '__main__':
main()
with tab4:
def main():
st.markdown('<p style="color: yellow;">👉🎥 Visit my YouTube channel for more details <a href="https://bit.ly/atozaboutdata">🎥click</a></p>', unsafe_allow_html=True)
st.title(":balloon: :balloon: Generate DDL :balloon: :balloon:")
st.write(":balloon: :balloon: This is to Generate DDL :balloon: :balloon:")
if all([account, role, warehouse, database, schema, user, password]):
conn = create_snowflake_connection(account, role, warehouse, database, schema, user, password)
cursor = conn.cursor()
chk_box = st.selectbox("Do you want to Generate DDL for entire DB?",options=["YES","NO"] , index=1)
if conn and chk_box=='NO':
st.info('Connected to Snowflake!')
db_list = cursor.execute("SHOW DATABASES")
db_names = [db[1] for db in db_list]
db_name = st.selectbox("Select Database", db_names, key=f"selected_dbnames")
if db_name:
sch_list = cursor.execute(f"SHOW SCHEMAS IN DATABASE {db_name}")
sch_names = [sch[1] for sch in sch_list]
sch_name = st.selectbox("Select Schema", sch_names, index=0, key=f"schemaname_list")
if sch_name:
entity_types = [
"Dynamic Table", "Event Table", "File Format", "Function",
"Iceberg Table", "Masking Policy", "Password Policy", "Pipe",
"Procedure", "Row Access Policy", "Sequence", "Session Policy",
"Stream", "Table", "Tag", "Task", "View"
]
entity_type = st.selectbox("Select Object Type", entity_types)
if entity_type:
if entity_type =='Function' or entity_type =='Procedure':
ent_list = cursor.execute(f"SHOW USER {entity_type}S IN SCHEMA {db_name}.{sch_name}")
ent_names = [ent[8] for ent in ent_list]
else:
ent_list = cursor.execute(f"SHOW {re.sub('Policy','Policie',entity_type)}S IN SCHEMA {db_name}.{sch_name}")
ent_names = [ent[1] for ent in ent_list]
# ent_names.insert(0, "ALL")
selected_entities = st.multiselect(f"Select {entity_type}s", ent_names, key=f"selected_entity_list")
if selected_entities:
if 'Policy' in entity_type:
ent_type = 'Policy'
else:
ent_type = re.sub(" ", "_", entity_type)
if st.button('Generate DDL'):
ddl_statements = []
for entity_name in selected_entities:
ent_name = re.sub("(.*?) RETURN.*", "\\1", entity_name)
ddl_query = f"SELECT GET_DDL('{ent_type}', '{db_name}.{sch_name}.{ent_name}', true) AS DDL"
df = cursor.execute(ddl_query)
ddl_statements.append(df.fetchone()[0])
combined_ddl = "\n\n-------------------------------------------------------------------------------------------\n\n".join(ddl_statements)
st.write("### Generate DDL")
language = "PYTHON" if "python" in combined_ddl.lower() else "SQL"
st.code(combined_ddl, language=language)
if conn and chk_box=='YES':
st.info('Connected to Snowflake!')
db_list = cursor.execute("SHOW DATABASES")
db_names = [db[1] for db in db_list]
db_name = st.selectbox("Select Database", db_names, key=f"selected_dbnames")
if db_name and st.button('Generate DDL'):
ddl_statements = []
ddl_query = f"SELECT GET_DDL('DATABASE', '{db_name}', true) AS DDL"
df = cursor.execute(ddl_query)
ddl_statements.append(df.fetchone()[0])
combined_ddl = "\n\n-------------------------------------------------------------------------------------------\n\n".join(ddl_statements)
st.write("### Generate DDL")
language = "PYTHON" if "python" in combined_ddl.lower() else "SQL"
st.code(combined_ddl, language=language)
# Close Snowflake cursor and connection
cursor.close()
if __name__ == '__main__':
main()
with tab5:
def main():
st.markdown('<p style="color: yellow;">👉🎥 Visit my YouTube channel for more details <a href="https://bit.ly/atozaboutdata">🎥click</a></p>', unsafe_allow_html=True)
st.title(":balloon: :balloon: Replicate databse from one snowflake to another :balloon: :balloon:")
def test_connection(account, role, warehouse, database, schema, user, password):
try:
conn = create_snowflake_connection(account, role, warehouse, database, schema, user, password)
if conn:
st.success("Connection successful!")
return conn
else:
st.error("Connection failed. Please check your credentials.")
return None
except Exception as e:
st.error(f"Error testing connection: {str(e)}")
return None
col1, col2 = st.columns(2)
with col1:
st.header("Source Snowflake Credentials")
source_account = st.text_input("Source Account")
source_role = st.text_input("Source Role")
source_warehouse = st.text_input("Source Warehouse")
source_database = st.text_input("Source Database")
source_schema = st.text_input("Source Schema")
source_user = st.text_input("Source User")
source_password = st.text_input("Source Password", type="password")
if st.button("Test Source Connection"):
source_conn = test_connection(source_account, source_role, source_warehouse, source_database, source_schema, source_user, source_password)
if source_conn:
st.toast("Source Connection to Snowflake successfully!", icon='🎉')
time.sleep(0.5)
st.balloons()
# Generate DDL for source database
# cursor = source_conn.cursor()
# ddl = []
# ddl_q = f"SELECT GET_DDL('DATABASE', '{source_database}', true) AS DDL"
# df_q = cursor.execute(ddl_q)
# ddl.append(df_q.fetchone()[0])
# combined_ddl = "\n\n-------------------------------------------------------------------------------------------\n\n".join(ddl)
# st.write("### Generate DDL")
# language = "PYTHON" if "python" in combined_ddl.lower() else "SQL"
# st.code(combined_ddl, language=language)
with col2:
st.header("Destination Snowflake Credentials")
dest_account = st.text_input("Destination Account")
dest_role = st.text_input("Destination Role")
dest_warehouse = st.text_input("Destination Warehouse")
dest_database = st.text_input("Destination Database")
dest_schema = st.text_input("Destination Schema")
dest_user = st.text_input("Destination User")
dest_password = st.text_input("Destination Password", type="password")
if st.button("Test Destination Connection"):
dest_conn = test_connection(dest_account, dest_role, dest_warehouse, dest_database, dest_schema, dest_user, dest_password)
if dest_conn:
st.toast("Destination Connection to Snowflake successfully!", icon='🎉')
time.sleep(0.5)
# cursor = dest_conn.cursor()
# ddl = []
# ddl_q = f"SELECT CURRENT_ACCOUNT() CURRENT_ACCOUNT"
# df_q = cursor.execute(ddl_q)
# ddl.append(df_q.fetchone()[0])
# combined_ddl = "\n\n-------------------------------------------------------------------------------------------\n\n".join(ddl)
# st.write("### Generate DDL")
# language = "PYTHON" if "python" in combined_ddl.lower() else "SQL"
# st.code(combined_ddl, language=language)
# if test_connection(source_account, source_role, source_warehouse, source_database, source_schema, source_user, source_password):
# cursor = source_conn.cursor()
# ddl = []
# ddl_q = f"SELECT GET_DDL('DATABASE', '{source_database}', true) AS DDL"
# df_q = cursor.execute(ddl_q)
# ddl.append(df_q.fetchone()[0])
# combined_ddl = "\n\n-------------------------------------------------------------------------------------------\n\n".join(ddl)
# if test_connection(dest_account, dest_role, dest_warehouse, dest_database, dest_schema, dest_user, dest_password):
# st.write("### Generate DDL")
# language = "PYTHON" if "python" in combined_ddl.lower() else "SQL"
# st.code(combined_ddl, language=language)
# Function to replicate data between two Snowflake accounts
def replicate_data(source_conn, dest_conn, source_database, source_schema, dest_database, dest_schema):
try:
# REPLICATE STRUCTURE OF ALL OBJECTS
source_cursor = source_conn.cursor()
ddl = []
#ddl_q = f"SELECT GET_DDL('DATABASE', '{source_database}',TRUE) AS DDL"
ddl_q = f'''
DECLARE
CUR CURSOR FOR SELECT CONCAT_WS('.',TABLE_CATALOG,TABLE_SCHEMA,'"'||TABLE_NAME||'"') AS NAME
FROM INFORMATION_SCHEMA.TABLES
WHERE TABLE_TYPE = 'BASE TABLE' AND TABLE_NAME NOT LIKE '%TEMP_VIEW_DEFS%'
AND TABLE_SCHEMA='{source_schema}' and IS_TEMPORARY='NO'
ORDER BY CREATED ASC;
BEGIN
CREATE OR REPLACE TEMPORARY TABLE TEMP_VIEW_DEFS(VIEW_NAME TEXT, DEFINITION TEXT);
FOR rec IN CUR DO
EXECUTE IMMEDIATE REPLACE('INSERT INTO TEMP_VIEW_DEFS(VIEW_NAME, DEFINITION)
SELECT ''<VIEW_NAME>'', GET_DDL(''TABLE'', ''<VIEW_NAME>'')'
,'<VIEW_NAME>'
,rec.NAME);
END FOR;
LET rs RESULTSET := (SELECT LISTAGG(DEFINITION,' ') DDL FROM TEMP_VIEW_DEFS);
RETURN TABLE(rs);
END;
'''
df_q = source_cursor.execute(ddl_q)
ddl.append(df_q.fetchone()[0])
combined_ddl = "\n\n-------------------------------------------------------------------------------------------\n\n".join(ddl)
dest_cursor=dest_conn.cursor()
combined_ddl=f"BEGIN create or replace database {source_database}; create or replace schema {source_database}.{source_schema}; USE {source_database}.{source_schema}; {combined_ddl} END;"
dest_cursor.execute(combined_ddl)
st.toast("Structure of all source Snowflake created in Destination!", icon='🎉')
time.sleep(0.5)
# source_tables = source_cursor.execute(f"SHOW TABLES IN {source_schema}")
# table_names = [table[1] for table in source_tables]
# QRY_TBL=f'''
# SELECT CONCAT_WS('.',TABLE_CATALOG,TABLE_SCHEMA,'"'||TABLE_NAME||'"') AS NAME
# FROM INFORMATION_SCHEMA.TABLES
# WHERE TABLE_TYPE = 'BASE TABLE' AND TABLE_NAME NOT LIKE '%TEMP_VIEW_DEFS%'
# AND TABLE_SCHEMA='{source_schema}' and IS_TEMPORARY='NO'
# ORDER BY CREATED ASC
# '''
# Retrieve tables from source database/schema
source_cursor = source_conn.cursor()
Q_TBLS=f'''
BEGIN
SHOW TABLES IN {source_database}.{source_schema};
LET A := SQLID;
LET rs RESULTSET :=(SELECT * FROM TABLE(RESULT_SCAN(:A)) WHERE "kind" ='TABLE');
RETURN TABLE(rs);
END;
'''
# source_tables = source_cursor.execute(f"SHOW TABLES IN {source_schema}")
source_tables = source_cursor.execute(Q_TBLS)
table_names = [table[1] for table in source_tables]
# Replicate each table from source to destination
total_cnt_tbls = len(table_names)
st.success(f"Total Tables to replicate: {total_cnt_tbls}")
cnt_tbls=0
for table_name in table_names:
# Construct the fully qualified table name
full_table_name = f'"{source_database}"."{source_schema}"."{table_name}"'
full_table_name=full_table_name.strip("'")
query = f"SELECT * FROM {full_table_name}"
cnt_tbls=cnt_tbls+1;
df = pd.read_sql(query, source_conn)
success, nchunks, nrows, _ = write_pandas(conn=dest_conn, df=df, table_name=table_name, database=dest_database, schema=dest_schema)
st.success(f'Source table: {table_name} replicated in Destination DB with rows : {nrows}')
st.toast("Data of all source Snowflake created in Destination!", icon='🎉')
time.sleep(0.5)
st.success(f"Data replication successful 🎉🎉🎉. Total {cnt_tbls}/{total_cnt_tbls} tables replicated.")
except Exception as e:
st.error(f"Error replicating data: {str(e)}")
# Execute replication process
if st.button("Replicate Data"):
try:
# Create connections to source and destination Snowflake accounts
source_conn = create_snowflake_connection(source_account, source_role, source_warehouse, source_database, source_schema, source_user, source_password)
dest_conn = create_snowflake_connection(dest_account, dest_role, dest_warehouse, dest_database, dest_schema, dest_user, dest_password)
if source_conn and dest_conn:
replicate_data(source_conn, dest_conn, source_database, source_schema, dest_database, dest_schema)
st.toast("All tables replicated successfully. Hurrayyaaaa !!", icon='🎉')
time.sleep(1)
st.balloons()
else:
st.error("Unable to establish connections to source and/or destination Snowflake accounts.")
except Exception as e:
st.error(f"Error: {str(e)}")
if __name__ == '__main__':
main()
# Adding a footer
footer="""<style>
a:link , a:visited{
color: blue;
background-color: transparent;
text-decoration: underline;
}
a:hover, a:active {
color: red;
background-color: transparent;
text-decoration: underline;
}
.footer {
position: fixed;
left: 0;
bottom: 0;
width: 100%;
background-color: white;
color: black;
text-align: center;
}
</style>
<div class="footer">
<p>Developed with ❤️ by <a style='display: inline; text-align: center;' href="https://bit.ly/atozaboutdata" target="_blank">MAHANTESH HIREMATH</a></p>
</div>
"""
st.markdown(footer,unsafe_allow_html=True)