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Update app.py
Browse files
app.py
CHANGED
@@ -120,12 +120,12 @@ def update_table(start_date, end_date, window, user_text):
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time.sleep(30)
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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.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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df_predictions = pd.read_csv(StringIO(data_predictions.decode('utf-8')))
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df_predictions['revenue'] = (df_predictions['vintage_unique_cases'] / df_predictions['predicted_monthly_payment_rate']).round(2)
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df_predictions['Month'] = [get_month_label(i) for i in range(len(df_predictions))]
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time.sleep(30)
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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(str(user_text).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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df_predictions = pd.read_csv(StringIO(data_predictions.decode('utf-8')))
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df_predictions['revenue'] = (df_predictions['vintage_unique_cases'] / df_predictions['predicted_monthly_payment_rate']).round(2)
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df_predictions['Month'] = [get_month_label(i) for i in range(len(df_predictions))]
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