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Update app.py
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app.py
CHANGED
@@ -77,7 +77,7 @@ def get_month_label(i):
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#df['Month'] = [get_month_label(i) for i in range(len(df))]
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df = pd.DataFrame()
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def update_table(start_date, end_date, window,
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#############################################################################################
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try:
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DATABRICKS_INSTANCE = 'https://136286767906206.6.gcp.databricks.com'
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@@ -90,7 +90,7 @@ def update_table(start_date, end_date, window, user_text):
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"month_train_starting": str(start_date),
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"month_for_prediction": str(end_date),
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"moving_average_period": str(window),
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"username": str(
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}
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url = f"{DATABRICKS_INSTANCE}/api/2.1/jobs/run-now"
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@@ -123,7 +123,7 @@ def update_table(start_date, end_date, window, user_text):
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print(f"Run ID: {run_id}")
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#data_payments = get_databricks_file("dbfs:/dbfs/FileStore/forecast_alleviatetax_payments.csv")
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#data_metrics = get_databricks_file("dbfs:/dbfs/FileStore/forecast_alleviatetax_metrics.csv")
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data_predictions = get_databricks_file("dbfs:/dbfs/FileStore/forecast_alleviatetax_predictions_"+str(
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#df_payments = pd.read_csv(StringIO(data_payments.decode('utf-8')))
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#new_columns = ['vintage', 'vintage_unique_cases'] + [f'M{col}' for col in df_payments.columns[2:]]
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#df_metrics = pd.read_csv(StringIO(data_metrics.decode('utf-8')))
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@@ -161,7 +161,7 @@ with gr.Blocks(fill_height=True) as demo:
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# demo.load(update_message, None, gr.Markdown())
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# logout_button = gr.Button("Logout", link="/logout", scale=0)
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# Add a second button inside Panel 2 to hide the panel and show Panel 1 again
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tu = gr.Textbox(
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btn_2 = gr.Button("Logout", visible=True, scale=0)
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btn_2.click(hide_and_show_panel, outputs=[panel_2, panel_1, user_text, input_text]) # Hide Panel 2 and show Panel 1
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with gr.Row():
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#df['Month'] = [get_month_label(i) for i in range(len(df))]
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df = pd.DataFrame()
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def update_table(start_date, end_date, window, tu):
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#############################################################################################
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try:
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DATABRICKS_INSTANCE = 'https://136286767906206.6.gcp.databricks.com'
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"month_train_starting": str(start_date),
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"month_for_prediction": str(end_date),
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"moving_average_period": str(window),
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"username": str(tu)
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}
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url = f"{DATABRICKS_INSTANCE}/api/2.1/jobs/run-now"
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print(f"Run ID: {run_id}")
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#data_payments = get_databricks_file("dbfs:/dbfs/FileStore/forecast_alleviatetax_payments.csv")
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#data_metrics = get_databricks_file("dbfs:/dbfs/FileStore/forecast_alleviatetax_metrics.csv")
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data_predictions = get_databricks_file("dbfs:/dbfs/FileStore/forecast_alleviatetax_predictions_"+str(tu).split('@')[0]+".csv")
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#df_payments = pd.read_csv(StringIO(data_payments.decode('utf-8')))
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#new_columns = ['vintage', 'vintage_unique_cases'] + [f'M{col}' for col in df_payments.columns[2:]]
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#df_metrics = pd.read_csv(StringIO(data_metrics.decode('utf-8')))
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# demo.load(update_message, None, gr.Markdown())
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# logout_button = gr.Button("Logout", link="/logout", scale=0)
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# Add a second button inside Panel 2 to hide the panel and show Panel 1 again
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tu = gr.Textbox(interactive=False, scale=0)
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btn_2 = gr.Button("Logout", visible=True, scale=0)
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btn_2.click(hide_and_show_panel, outputs=[panel_2, panel_1, user_text, input_text]) # Hide Panel 2 and show Panel 1
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with gr.Row():
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