def create_fact(cls, **data):
client = DimensionClient.insert(client_id=data['client_id'])
item = DimensionItem.insert(item_id=data['item_id'])
data_role = DimensionDataRole.insert(role=data['data_role'])
definition = DimensionDefinition.insert(definition=data['definition'])
processing_state = DimensionProcessingState.insert(processing_state=data['processing_state'])
territory = DimensionTerritory.insert(code=data['territory'])
asset = DimensionAssets.insert(
asset_id=data['asset_id'],
type=data['asset_type']
)
provider = DimensionItemProvider.insert(
True,
provider_id=data['provider_item_id'],
provider_name=data['provider'],
)
delivery_date = datetime.datetime.strptime(str(data['delivery_date']), settings.DATETIME_FORMAT)
event_date = datetime.datetime.strptime(data['event_time'], settings.DATETIME_FORMAT)
event_utc_datetime = datetime.datetime.strptime(data['event_time'], settings.DATETIME_FORMAT)
fact = FactServicesBackstageAssetMatch.objects.create(
client=client,
item=item,
asset=asset,
data_role=data_role,
processing_state=processing_state,
provider=provider,
territory=territory,
spec_name=data['spec_name'],
delivery_date=delivery_date,
definition=definition,
file_size=data['file_size'],
duration=data['duration'],
event_date=event_date.date(),
event_utc_date=DimensionUTCDate.date_from_datetime(datetime=data['event_time']),
event_utc_datetime=event_utc_datetime
)
fact.save()
if data['used_asset_ids']:
for asset_id in data['used_asset_ids']:
asset_dim = DimensionAssets.objects.get_or_create(asset_id=asset_id)
fact.used_asset_ids.add(asset_dim[0].id)
else:
fact.used_asset_ids = ''
if data['languages']:
for language in data['languages']:
lang_dim = DimensionLanguage.objects.get_or_create(iso_code=language)
fact.languages.add(lang_dim[0].id)
else:
fact.languages = ''
return fact
def create_fact(cls, **data):
asset = DimensionAssets.insert(asset_id=data['asset_id'],
type=data['asset_type'])
unique_studio_item = DimensionStudioItem.insert(
unique_studio_item_id=data['unique_studio_item_id'])
studio = DimensionStudio.insert(name=data['studio'])
data_role = DimensionDataRole.insert(role=data['data_role'])
definition = DimensionDefinition.insert(definition=data['definition'])
language = DimensionLanguage.insert(iso_code=data['language'])
audio_channel = DimensionAudioChannels.insert(
channel=data['audio_channel'])
client = DimensionClient.insert(client_id=data['client_id'])
vendor = DimensionVendor.insert(name=data['vendor'])
fact = FactServicesAggregatorAggregation.objects.create(
asset=asset,
unique_studio_item=unique_studio_item,
studio=studio,
file_name=data['file_name'],
start_time=data['start_time'],
end_time=data['end_time'],
file_size=data['file_size'],
checksum=data['checksum'],
data_role=data_role,
content_duration=data['content_duration'],
definition=definition,
language=language,
audio_channel=audio_channel,
client=client,
vendor=vendor,
event_utc_date=DimensionUTCDate.date_from_datetime(
datetime=data['event_time']),
event_utc_datetime=data['event_time'])
return fact
def create_fact(cls, **data):
asset = DimensionAssets.insert(
asset_id=data['asset_id'],
type=data['asset_type']
)
unique_studio_item = DimensionStudioItem.insert(unique_studio_item_id=data['unique_studio_item_id'])
studio = DimensionStudio.insert(name=data['studio'])
data_role = DimensionDataRole.insert(role=data['data_role'])
definition = DimensionDefinition.insert(definition=data['definition'])
language = DimensionLanguage.insert(iso_code=data['language'])
audio_channel = DimensionAudioChannels.insert(channel=data['audio_channel'])
client = DimensionClient.insert(client_id=data['client_id'])
vendor = DimensionVendor.insert(name=data['vendor'])
fact = FactServicesAggregatorAggregation.objects.create(
asset=asset,
unique_studio_item=unique_studio_item,
studio=studio,
file_name=data['file_name'],
start_time=data['start_time'],
end_time=data['end_time'],
file_size=data['file_size'],
checksum=data['checksum'],
data_role=data_role,
content_duration=data['content_duration'],
definition=definition,
language=language,
audio_channel=audio_channel,
client=client,
vendor=vendor,
event_utc_date=DimensionUTCDate.date_from_datetime(datetime=data['event_time']),
event_utc_datetime=data['event_time']
)
return fact