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Update app.py
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app.py
CHANGED
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@@ -13,109 +13,6 @@ from snowflake.connector import connect
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@st.experimental_memo
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def load_data():
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df = pd.read_csv("country-list.csv")
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return df
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@st.experimental_memo
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def convert_df(df):
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# IMPORTANT: Cache the conversion to prevent computation on every rerun
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return df.to_csv().encode("utf-8")
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def execute_query(conn, df_sel_row, table_name):
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if not df_sel_row.empty:
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conn.cursor().execute(
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"CREATE OR REPLACE TABLE "
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f"{table_name}(COUNTRY string, CAPITAL string, TYPE string)"
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)
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write_pandas(
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conn=conn,
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df=df_sel_row,
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table_name=table_name,
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database="STREAMLIT_DB",
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schema="PUBLIC",
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quote_identifiers=False,
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)
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# Initialize connection.
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# Uses st.experimental_singleton to only run once.
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@st.experimental_singleton
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def init_connection():
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return snowflake.connector.connect(**st.secrets["snowflake"])
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# The code below is for the title and logo.
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st.set_page_config(page_title="Dataframe with editable cells", page_icon="💾")
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st.image(
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"https://emojipedia-us.s3.dualstack.us-west-1.amazonaws.com/thumbs/240/apple/325/floppy-disk_1f4be.png",
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width=100,
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)
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conn = init_connection()
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df = load_data()
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st.title("Dataframe with editable cells")
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st.write("")
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st.markdown(
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"""This is a demo of a dataframe with editable cells, powered by
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[streamlit-aggrid](https://pypi.org/project/streamlit-aggrid/).
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You can edit the cells by clicking on them, and then export
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your selection to a `.csv` file (or send it to your Snowflake DB!)"""
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)
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st.write("")
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st.write("")
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st.subheader("① Select and edit cells")
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st.info("💡 Hold the `Shift` (⇧) key to select multiple rows at once.")
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st.caption("")
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gd = GridOptionsBuilder.from_dataframe(df)
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gd.configure_pagination(enabled=True)
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gd.configure_default_column(editable=True, groupable=True)
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gd.configure_selection(selection_mode="multiple", use_checkbox=True)
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gridoptions = gd.build()
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grid_table = AgGrid(
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df,
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gridOptions=gridoptions,
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update_mode=GridUpdateMode.SELECTION_CHANGED,
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theme="material",
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)
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sel_row = grid_table["selected_rows"]
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st.subheader(" ② Check your selection")
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st.write("")
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df_sel_row = pd.DataFrame(sel_row)
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csv = convert_df(df_sel_row)
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if not df_sel_row.empty:
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st.write(df_sel_row)
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st.download_button(
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label="Download to CSV",
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data=csv,
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file_name="results.csv",
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mime="text/csv",
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)
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st.write("")
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st.write("")
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st.subheader("③ Send to Snowflake DB ❄️")
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st.write("")
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table_name = st.text_input("Pick a table name", "YOUR_TABLE_NAME_HERE", help="No spaces allowed")
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run_query = st.button(
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"Add to DB", on_click=execute_query, args=(conn, df_sel_row, table_name)
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)
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if run_query and not df_sel_row.empty:
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st.success(
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f"✔️ Selection added to the `{table_name}` table located in the `STREAMLIT_DB` database."
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)
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st.snow()
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if run_query and df_sel_row.empty:
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st.info("Nothing to add to DB, please select some rows")
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# callback to update query param on selectbox change
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# callback to update query param on selectbox change
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