def generate_rows(self,
dataset_schema=None,
dataset_partitioning=None,
partition_id=None,
records_limit=-1):
"""
The main reading method.
Returns a generator over the rows of the dataset (or partition)
Each yielded row must be a dictionary, indexed by column name.
The dataset schema and partitioning are given for information purpose.
"""
FacebookAdsApi.init(access_token=self.access_token, api_version='v3.3')
params = {
'time_range': {
'since': self.date_start,
'until': self.date_stop
},
'breakdowns': self.breakdowns,
'level': self.level,
'time_increment': 1
}
async_job = AdAccount(self.ad_account_id).get_insights_async(
fields=self.fields, params=params)
while not async_job.remote_read().get(
"async_status") == 'Job Completed':
time.sleep(1)
resulting_adaccount_lines = async_job.get_result()
for line in resulting_adaccount_lines:
yield line.export_data()
