def uploadPatientItemCsvToBQ(self, tempDir, datasetId, batchCounter=999):
log.info('Uploading patient_item CSV to BQ dataset %s for batch %s' %
(datasetId, batchCounter))
patient_item_schema = [
bigquery.SchemaField('patient_item_id', 'INT64', 'REQUIRED', None,
()),
bigquery.SchemaField('external_id', 'INT64', 'NULLABLE', None, ()),
bigquery.SchemaField('patient_id', 'INT64', 'REQUIRED', None, ()),
bigquery.SchemaField('clinical_item_id', 'INT64', 'REQUIRED', None,
()),
bigquery.SchemaField('item_date', 'TIMESTAMP', 'REQUIRED', None,
()),
bigquery.SchemaField('analyze_date', 'TIMESTAMP', 'NULLABLE', None,
()),
bigquery.SchemaField('encounter_id', 'INT64', 'NULLABLE', None,
()),
bigquery.SchemaField('text_value', 'STRING', 'NULLABLE', None, ()),
bigquery.SchemaField('num_value', 'FLOAT64', 'NULLABLE', None, ()),
bigquery.SchemaField('source_id', 'INT64', 'NULLABLE', None, ()),
bigquery.SchemaField('item_date_utc', 'TIMESTAMP', 'NULLABLE',
None, ())
]
csv_path = tempDir + os.path.sep + str(
batchCounter) + '_patient_item.csv'
bigQueryUtil.headerChecker(csv_path,
[sf.name for sf in patient_item_schema])
self.bqClient.load_csv_to_table(datasetId,
'patient_item',
csv_path,
schema=patient_item_schema,
skip_rows=1,
append_to_table=True)
def uploadClinicalTablesCsvToBQ(self, tempDir, datasetId):
log.info('Uploading clinical_item_category CSV to BQ dataset %s' % datasetId)
clinical_item_category_schema = [
bigquery.SchemaField('clinical_item_category_id', 'INT64', 'REQUIRED', None, ()),
bigquery.SchemaField('source_table', 'STRING', 'REQUIRED', None, ()),
bigquery.SchemaField('description', 'STRING', 'NULLABLE', None, ()),
bigquery.SchemaField('default_recommend', 'INT64', 'NULLABLE', None, ())]
clinical_item_category_csv_path = tempDir + '/clinical_item_category.csv'
bigQueryUtil.headerChecker(clinical_item_category_csv_path, [sf.name for sf in clinical_item_category_schema])
self.bqClient.load_csv_to_table(datasetId, 'clinical_item_category', clinical_item_category_csv_path,
skip_rows=1, append_to_table=True)
# auto_detect_schema=False, schema=clinical_item_category_schema)
log.info('Uploading clinical_item CSV to BQ dataset %s' % datasetId)
clinical_item_schema = [bigquery.SchemaField('clinical_item_id', 'INT64', 'REQUIRED', None, ()),
bigquery.SchemaField('clinical_item_category_id', 'INT64', 'REQUIRED', None, ()),
bigquery.SchemaField('external_id', 'INT64', 'NULLABLE', None, ()),
bigquery.SchemaField('name', 'STRING', 'REQUIRED', None, ()),
bigquery.SchemaField('description', 'STRING', 'NULLABLE', None, ()),
bigquery.SchemaField('default_recommend', 'INT64', 'NULLABLE', None, ()),
bigquery.SchemaField('item_count', 'FLOAT64', 'NULLABLE', None, ()),
bigquery.SchemaField('patient_count', 'FLOAT64', 'NULLABLE', None, ()),
bigquery.SchemaField('encounter_count', 'FLOAT64', 'NULLABLE', None, ()),
bigquery.SchemaField('analysis_status', 'INT64', 'NULLABLE', None, ()),
bigquery.SchemaField('outcome_interest', 'INT64', 'NULLABLE', None, ())]
clinical_item_csv_path = tempDir + '/clinical_item.csv'
bigQueryUtil.headerChecker(clinical_item_csv_path, [sf.name for sf in clinical_item_schema])
self.bqClient.load_csv_to_table(datasetId, 'clinical_item', clinical_item_csv_path,
skip_rows=1, append_to_table=True)
def uploadClinicalTablesCsvToBQ(self, tempDir, datasetId):
log.info('Uploading clinical_item_category CSV to BQ dataset %s' % datasetId)
clinical_item_category_schema = self.bqClient.client.get_table(
self.bqClient.client.dataset('clinical_item2018', 'mining-clinical-decisions')
.table('clinical_item_category')
).schema
clinical_item_category_csv_path = tempDir + '/clinical_item_category.csv'
bigQueryUtil.headerChecker(clinical_item_category_csv_path, [sf.name for sf in clinical_item_category_schema])
self.bqClient.load_csv_to_table(datasetId, 'clinical_item_category', clinical_item_category_csv_path,
skip_rows=1, append_to_table=True)
# auto_detect_schema=False, schema=clinical_item_category_schema)
log.info('Uploading clinical_item CSV to BQ dataset %s' % datasetId)
clinical_item_schema = self.bqClient.client.get_table(
self.bqClient.client.dataset('clinical_item2018', 'mining-clinical-decisions').table('clinical_item')
).schema
clinical_item_csv_path = tempDir + '/clinical_item.csv'
bigQueryUtil.headerChecker(clinical_item_csv_path, [sf.name for sf in clinical_item_schema])
self.bqClient.load_csv_to_table(datasetId, 'clinical_item', clinical_item_csv_path,
skip_rows=1, append_to_table=True)
def uploadPatientItemCsvToBQ(self, tempDir, batchCounter, datasetId):
log.info('Uploading patient_item CSV to BQ dataset %s for batch %s' % (datasetId, batchCounter))
patient_item_schema = self.bqClient.client.get_table(
self.bqClient.client.dataset('clinical_item2018', 'mining-clinical-decisions').table('patient_item')
).schema
csv_path = tempDir + '/' + str(batchCounter) + '_patient_item.csv'
bigQueryUtil.headerChecker(csv_path, [sf.name for sf in patient_item_schema])
self.bqClient.load_csv_to_table(datasetId, 'patient_item', csv_path, skip_rows=1, append_to_table=True)
def uploadItemCollectionTablesCsvToBQ(self, tempDir, datasetId):
log.info(
'Uploading item_collection CSV to BQ dataset {}'.format(datasetId))
item_collection_schema = self.get_schema_filtered(
'clinical_item2018', 'item_collection')
item_collection_csv_path = tempDir + '/item_collection.csv'
bigQueryUtil.headerChecker(item_collection_csv_path,
[sf.name for sf in item_collection_schema])
self.bqClient.load_csv_to_table(datasetId,
'item_collection',
item_collection_csv_path,
skip_rows=1,
append_to_table=True,
auto_detect_schema=False,
schema=item_collection_schema)
log.info('Uploading item_collection_item CSV to BQ dataset {}'.format(
datasetId))
item_collection_item_schema = self.get_schema_filtered(
'clinical_item2018', 'item_collection_item')
item_collection_item_csv_path = tempDir + '/item_collection_item.csv'
bigQueryUtil.headerChecker(
item_collection_item_csv_path,
[sf.name for sf in item_collection_item_schema])
self.bqClient.load_csv_to_table(datasetId,
'item_collection_item',
item_collection_item_csv_path,
skip_rows=1,
append_to_table=True,
auto_detect_schema=False,
schema=item_collection_item_schema)
def uploadPatientItemCollectionLinkCsvToBQ(self,
tempDir,
datasetId,
batchCounter=999):
log.info(
'Uploading patient_item CSV to BQ dataset {} for batch {}'.format(
datasetId, batchCounter))
patient_item_collection_link_schema = self.get_schema_filtered(
'clinical_item2018', 'patient_item_collection_link')
csv_path = tempDir + os.path.sep + str(
batchCounter) + '_patient_item_collection_link.csv'
bigQueryUtil.headerChecker(
csv_path, [sf.name for sf in patient_item_collection_link_schema])
self.bqClient.load_csv_to_table(
datasetId,
'patient_item_collection_link',
csv_path,
skip_rows=1,
append_to_table=True,
auto_detect_schema=False,
schema=patient_item_collection_link_schema)
