Omni Reports is a client to request, normalize and consolidate reports from several digital marketing platforms using a simple, declarative and concise request structure. Behind the scenes, the Omni Report Client will convert the report definition into platform-specific report requests.
The Omni Report Definition is a json-like data structure based on Google Ads Report Definition, accepting several elements to query and segment a report.
To install Omni Reports, use pip:
pip install omni-reportsCreate a ReportTypeResolver to resolve report types of each platform (like Google Ads).
Then, create a ReportClient and execute your report definition.
from omni_reports.client import ReportClient, ReportTypeResolverBuilder
from omni_reports.google_reports import GoogleAdsReportTypeResolver
resolver = ReportTypeResolverBuilder() \
.extend(GoogleAdsReportTypeResolver) \
.build()
client = ReportClient(resolver)
result = client.execute_report({
'report_type': 'GOOGLE_ADS_ACCOUNT_PERFORMANCE_REPORT',
'report_name': 'my_report',
'selector': {
'fields': ['account_id', 'cost', 'conversions', 'cost_per_conversion'],
'predicates': [
{
'field': 'cost',
'operator': 'greater_than',
'values': ['0']
}
]
}
})
print(result)Additionally, you can pass a context to ReportClient so that a ReportTypeResolver can be configured.
from omni_reports.client import ReportClient
from omni_reports.google_reports import GoogleAdsReportTypeResolver
client = ReportClient(GoogleAdsReportTypeResolver, {
'GOOGLE_ADS_CLIENT_ID': 'MY_CLIENT_ID',
'GOOGLE_ADS_CLIENT_SECRET': 'MY_CLIENT_SECRET',
})
# or via `execute_report`
report_definition = {...}
client.execute_report(report_definition, {
'GOOGLE_ADS_CUSTOMER_ID': 'MY_CUSTOMER_ID',
})Create a ReportType in Omni Reports is simple. Just create a new class extending ReportType, declare
the fields of your report type and implement the resolve method. The ReportClient will validate all definitions of
your report type and call the resolver.
To create your report type, you must declare all fields of report with its behaviors and metadata. There is three types of behaviors: attribute, metric and segment.
- Attribute: The attribute fields must always reflect the current state of your data, ignoring the timespan of the report;
- Metric: The metric fields reflect the data over the timespan of the report;
- Segment: The segment field contains dimension data that is used to group metrics. Including a metric field into your report definition may split a single row into multiple rows. The value of metric fields reflect the data over the timespan of the report.
After the identification of the behavior for each report type field, you can start declaring the report type class:
from omni_reports.client import ReportClient, ReportTypeResolverBuilder
from omni_reports.client.types import ReportType
from omni_reports.client.fields import AttributeReportField, MetricReportField, SegmentReportField
class MyAdReportType(ReportType):
"""
Example of ReportType to query perfomance of all accounts in platform
"""
account_id = SegmentReportField()
campaign_id = SegmentReportField()
ad_group_id = SegmentReportField()
ad_id = SegmentReportField()
cost = MetricReportField()
conversions = MetricReportField()
cost_per_conversion = MetricReportField()
campaign_status = AttributeReportField()
ad_group_status = AttributeReportField()
ad_status = AttributeReportField()
def resolve(self, fields, predicates, report_definition, context, client):
# logic to apply predicates and filter fields
return []
resolver = ReportTypeResolverBuilder() \
.add_type("MY_AD_REPORT", MyAdReportType()) \
.build()
client = ReportClient(resolver)
client.execute_report({
'report_type': 'MY_AD_REPORT',
'report_name': 'report_name_here',
'selector': {
'fields': ['ad_group_id', 'cost', 'conversions', 'cost_per_conversion'],
'predicates': [
{
'field': 'campaign_id',
'operator': 'equals',
'values': ['1234']
}
]
}
})To contribute, see the CONTRIBUTING guides.