bach-googleads 0.0.0

Manages tasks in Google Ads

bach for Google Ads

bach provides an easy to use set of abstractions to simplify developing Google Ads solutions related to Google Ads management. Most of the solutions consist of three phases:

• Extract some data
• Do some transformation
• Do something with transformed data

bach solves first two generically by simplifying fetching data and applying filtering rules to the fetched data; the third step is defined as an interface developers can use to build on top of it.

Responsible for orchestrating rules and applying complex rules in Google Ads. Consists of 3 elements:

• Rule to Query - takes complex rules and build GAQL query out of it; query is executed and returned as a Report.
• Rule to Report - applies Rule to Report to get a subset of actionable entities.
• Report to Action - does whatever needs to be done with the subset of data (notification, exclusion, increase / decrease).

Installation

pip install bach-googleads

Usage

1. Simple use case - use predefined queries.

from bach import (
  Bach,
  actions,
  notifications_channel,
  plugins,
)
from bach.adapters import repositories

task_repo = repositories.SqlAlchemyRepository(
  db_url='sqlite:///tasks.db', model=tasks.Task
)

bach = Bach(task_repo)

(
  bach
  .with_type('placement_performance')
  .with_accounts(ACCOUNT_ID)
  .with_actor(
    plugins.PlacementExclusionActor,
    exclusion_level='CAMPAIGN',
  )
  .add_rules('clicks > 10')
  .add_action(actions.Action.EXCLUDE)
  .add_notify(notifications_channel.Console())
)

bach.run()
bach_task = bach.as_task(name='task_name')

2. Simple use case - use custom query.

from bach import Bach

query = 'SELECT campaign.id, metrics.clicks AS clicks FROM campaign'

(
  bach
  .with_accounts(ACCOUNT_ID)
  .add_rules('clicks > 0')
  .fetch(query)
  .apply()
  .notify()
)

3. Advanced use case - use custom fetcher.

from bach import Bach

from bach.fetchers import placement_fetcher

(
  bach
  .with_fetcher(placement_fetcher.PlacementFetcher())
  .with_accounts(ACCOUNT_ID)
  .add_rules('clicks > 0')
  .fetch()
  .apply()
  .notify()
)

4. Running a task.

from bach import Bach, tasks


task = tasks.Task(
  name='test_task',
  type='campaign_performance',
  customer_ids=ACCOUNT_ID,
  rule_expression='clicks > 1',
  extra_info={'campaign_type': 'DISPLAY'},
)

bach.run_task(task)