def create_content_item_timeseries(user, org, content_item_id): """ Upsert content timseries metrics. """ c = ContentItem.query\ .filter_by(id=content_item_id)\ .filter_by(org_id=org.id)\ .first() if not c: raise NotFoundError( 'A ContentItem with ID {} does not exist'.format(content_item_id)) # insert content item id req_data = request_data() if not isinstance(req_data, list): req_data = [req_data] data = [] for row in req_data: row.update({'content_item_id': c.id}) data.append(row) # load. ret = load.content_timeseries( data, org_id=org.id, metrics_lookup=org.content_timeseries_metrics, content_item_ids=[content_item_id], queue=False) return jsonify(ret)
def create_content_item_timeseries(user, org, content_item_id): """ Upsert content timseries metrics. """ c = ContentItem.query\ .filter_by(id=content_item_id)\ .filter_by(org_id=org.id)\ .first() if not c: raise NotFoundError( 'A ContentItem with ID {} does not exist' .format(content_item_id)) # insert content item id req_data = request_data() if not isinstance(req_data, list): req_data = [req_data] data = [] for row in req_data: row.update({'content_item_id': c.id}) data.append(row) # load. ret = load.content_timeseries( data, org_id=org.id, metrics_lookup=org.content_timeseries_metrics, content_item_ids=[content_item_id], queue=False) return jsonify(ret)
def bulk_create_content_timeseries(user, org): """ bulk upsert timseries metrics for an organization's content items. """ # bulk load in a queue job_id = load.content_timeseries( request_data(), org_id=org.id, metrics_lookup=org.content_timeseries_metrics, content_item_ids=org.content_item_ids, queue=True) ret = url_for_job_status(apikey=user.apikey, job_id=job_id, queue='bulk') return jsonify(ret, status=202)