本文整理汇总了Python中DataManager.DataManager.getCountForType方法的典型用法代码示例。如果您正苦于以下问题:Python DataManager.getCountForType方法的具体用法?Python DataManager.getCountForType怎么用?Python DataManager.getCountForType使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类DataManager.DataManager
的用法示例。
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示例1: export
# 需要导入模块: from DataManager import DataManager [as 别名]
# 或者: from DataManager.DataManager import getCountForType [as 别名]
def export(export_name, export_user, export_type, repo_id=None, schema_id=None, record_ids=None):
export_name = export_name + '_' + export_type + '_export'
export = {
"name": export_name,
"time": str(datetime.datetime.now()),
"exporter": export_user,
"uuid": uuid4().hex,
"repos": []
}
if export_type == 'Repository':
try:
# Get core info about repository
repo_info = RepoManager.getInfo(repo_id)
# Get all field information for all schemas for this repo
schema_info = SchemaManager.getTypes(repo_id)
# Get all data for each schema in this repo
for i in range(len(schema_info)):
data_count = DataManager.getCountForType(repo_id, schema_info[i]['id'])
data_total = data_count['data_count']
schema_data = DataManager.getDataForType(repo_id, schema_info[i]['id'], 0, data_total)
#print schema_data
schema_info[i]['data'] = schema_data
repo_info['schemas'] = schema_info
export['repos'].append(repo_info)
except Exception as e:
print e.message
pass
elif export_type == 'Schema':
try:
# Get core info about repository
repo_info = RepoManager.getInfo(repo_id)
# Get all field information for all schemas for this repo
schema_info = SchemaManager.getType(repo_id, schema_id)
# Get the total count of records for this type
data_count = DataManager.getCountForType(repo_id, schema_id)
data_total = data_count['data_count']
print repo_id, schema_id, data_total
# Get data for this schema
schema_data = DataManager.getDataForType(repo_id, schema_id, 0, data_total)
schema_info['data'] = schema_data
repo_info['schemas'] = schema_info
export['repos'].append(repo_info)
except Exception as e:
print e.message
pass
else:
try:
raw_results = {}
for node_id in record_ids:
print node_id
node_data = DataManager.getByID(node_id)
if node_data:
if node_data['repo_id'] not in raw_results:
raw_results[node_data['repo_id']] = {}
if node_data['schema_id'] not in raw_results[node_data['repo_id']]:
raw_results[node_data['repo_id']][node_data['schema_id']] = []
raw_results[node_data['repo_id']][node_data['schema_id']].append(node_data['data'])
print raw_results
for repo_id in raw_results:
repo_info = RepoManager.getInfo(repo_id)
repo_info['schemas'] = []
for schema_id in raw_results[repo_id]:
schema_info = SchemaManager.getType(repo_id, schema_id)
schema_info['data'] = raw_results[repo_id][schema_id]
repo_info['schemas'].append(schema_info)
export['repos'].append(repo_info)
except Exception as e:
print e.message
pass
return export