Script 1515: Pacing Daily Budget Alert Checked Status

Purpose:

The Python script filters and processes campaign data to update daily budget alerts for campaigns marked as “Checked.”

To Elaborate

The Python script is designed to manage and update daily budget alerts for advertising campaigns. It begins by filtering out campaigns that have ended and focuses on those with active traffic. The script then updates the daily budget for these campaigns based on a recommended value and sets the pacing calculation date to the current date. The primary goal is to identify campaigns where the daily budget alert status is marked as “Checked,” indicating that these campaigns require attention or action. The script then prepares a final output with updated budget information, clearing the “Checked” status to ensure that the alert is addressed. This process helps in maintaining structured budget allocation and ensuring that campaigns are paced correctly according to their current status and traffic conditions.

Walking Through the Code

  1. Data Filtering:
    • The script starts by filtering out campaigns that have ended using the RPT_COL_AUTO_PACING_CYCLE_THRESHOLD column.
    • It further refines the dataset to include only campaigns with active traffic, indicated by the RPT_COL_SBA_TRAFFIC column being set to ‘Traffic’.
  2. Budget Update:
    • For the filtered campaigns, the script updates the daily budget to the recommended daily budget value.
    • It also sets the pacing calculation date to the current date.
  3. Final Filtering and Output Preparation:
    • The script filters the campaigns to include only those where the daily budget alert is marked as “Checked.”
    • It prepares the final output by creating new columns for account, campaign, and daily budget, and clears the “Checked” status in the ‘Bulk Daily Budget Alert’ column.
    • The final output is displayed, showing the updated budget information for the relevant campaigns.

Vitals

  • Script ID : 1515
  • Client ID / Customer ID: 1306928345 / 60270139
  • Action Type: Bulk Upload (Preview)
  • Item Changed: Campaign
  • Output Columns: Account, Campaign, Daily Budget, Daily Budget Alert
  • Linked Datasource: M1 Report
  • Reference Datasource: None
  • Owner: Arayla Caldwell (acaldwell@marinsoftware.com)
  • Created by Arayla Caldwell on 2024-11-11 22:58
  • Last Updated by Arayla Caldwell on 2024-11-11 22:58
> See it in Action

Python Code

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## 
## name: Daily Budget Alert "Checked" Status 
## description:
##  
## 
## author: Jesus A. Garza
## created: 2024-07-01
## 

today = datetime.datetime.now(CLIENT_TIMEZONE).date()

# primary data source and columns
inputDf = dataSourceDict["1"]
RPT_COL_CAMPAIGN = 'Campaign'
RPT_COL_DATE = 'Date'
RPT_COL_ACCOUNT = 'Account'
RPT_COL_AUTO_PACING_CYCLE_START_DATE = 'Auto. Pacing Cycle Start Date'
RPT_COL_AUTO_PACING_CYCLE_END_DATE = 'Auto. Pacing Cycle End Date'
RPT_COL_AUTO_PACING_CYCLE_DAYS_ELAPSED = 'Auto. Pacing Cycle Days Elapsed'
RPT_COL_AUTO_PACING_CYCLE_DAYS_REMAINING = 'Auto. Pacing Cycle Days Remaining'
RPT_COL_AUTO_PACING_CYCLE_PACING = 'Auto. Pacing Cycle Pacing'
RPT_COL_AUTO_PACING_CYCLE_THRESHOLD = 'Auto. Pacing Cycle Threshold'
RPT_COL_TOTAL_TARGET_SPEND_PER_IMPRVIEWS = 'Total Target (Spend/Impr./Views)'
RPT_COL_TOTAL_DAYS = 'Total Days'
RPT_COL_TOTAL_DAYS_ELAPSED = 'Total Days Elapsed'
RPT_COL_TOTAL_PACING = 'Total Pacing'
RPT_COL_DELIVERY_STATUS = 'Delivery Status'
RPT_COL_RECOMMENDED_DAILY_BUDGET = 'Recommended Daily Budget'
RPT_COL_DAILY_BUDGET = 'Daily Budget'
RPT_COL_PACING_CALCULATION_DATE = 'Pacing Calculation Date'
RPT_COL_SOCIAL_BUDGET = 'Social Budget'
RPT_COL_SOCIAL_BUDGET_UPDATE_STATUS = 'Social Budget Update Status'
RPT_COL_AUTO_PACING_CYCLE_PUB_COST = 'Auto. Pacing Cycle Pub. Cost'
RPT_COL_AUTO_PACING_CYCLE_IMPR = 'Auto. Pacing Cycle Impr.'
RPT_COL_AUTO_PACING_CYCLE_CLICKS = 'Auto. Pacing Cycle Clicks'
RPT_COL_AUTO_PACING_CYCLE_VIEWS = 'Auto. Pacing Cycle Views'
RPT_COL_SBA_TRAFFIC = 'SBA Traffic'
RPT_COL_DAILY_BUDGET_ALERT = 'Daily Budget Alert'

# output columns and initial values
BULK_COL_ACCOUNT = 'Account'
BULK_COL_CAMPAIGN = 'Campaign'
BULK_COL_DAILY_BUDGET = 'Daily Budget'
BULK_DAILY_BUDGET_ALERT = 'Bulk Daily Budget Alert'

# First filter: Exclude campaigns with 'Campaign Ended'
campaigns_not_ended = inputDf[inputDf[RPT_COL_AUTO_PACING_CYCLE_THRESHOLD] != 'Campaign Ended']

# Second filter: From the remaining, only include those where SBA Traffic is 'Traffic'
filteredDf = campaigns_not_ended[campaigns_not_ended[RPT_COL_SBA_TRAFFIC] == 'Traffic']

# Apply necessary operations on filteredDf
filteredDf.loc[:, RPT_COL_DAILY_BUDGET] = filteredDf[RPT_COL_RECOMMENDED_DAILY_BUDGET]
filteredDf.loc[:, RPT_COL_PACING_CALCULATION_DATE] = today

# Filter to include only campaigns where DAILY_BUDGET_ALERT is 'Checked'
outputDf = filteredDf[filteredDf[RPT_COL_DAILY_BUDGET_ALERT] == 'Checked'].copy()

# Create new columns for output and clear the 'Checked' value in 'Bulk Daily Budget Alert'
outputDf[BULK_COL_ACCOUNT] = outputDf[RPT_COL_ACCOUNT]
outputDf[BULK_COL_CAMPAIGN] = outputDf[RPT_COL_CAMPAIGN]
outputDf[BULK_COL_DAILY_BUDGET] = outputDf[RPT_COL_DAILY_BUDGET]
outputDf[RPT_COL_DAILY_BUDGET_ALERT] = ''

# Select only the new columns for the final output
outputDf = outputDf[[BULK_COL_ACCOUNT, BULK_COL_CAMPAIGN, BULK_COL_DAILY_BUDGET, RPT_COL_DAILY_BUDGET_ALERT]]

# Assuming you want to display or utilize outputDf
print(outputDf)

Post generated on 2025-03-11 01:25:51 GMT

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