def get(self):
args = datasetsGetParser.parse_args()
project_id = args.get('project_id')
has_project_access, auth_message = project_auth(project_id)
if not has_project_access: return auth_message
datasets = db_access.get_datasets(project_id, include_preloaded=True)
data_list = []
for d in datasets:
dataset_data = {
k: d[k]
for k in [
'title', 'file_name', 'id', 'description', 'info_url',
'tags', 'preloaded'
]
}
dataset_data['details'] = db_access.get_dataset_properties(
project_id, d.get('id'))
data_list.append(dataset_data)
return jsonify({'status': 'success', 'datasets': data_list})
def get(self):
args = preloadedDatasetsGetParser.parse_args()
project_id = args.get('project_id')
get_structure = args.get('get_structure')
preloaded_datasets = db_access.get_preloaded_datasets(**args)
selected_preloaded_dataset_ids = []
if project_id:
selected_preloaded_datasets = db_access.get_project_preloaded_datasets(
project_id)
selected_preloaded_dataset_ids = [
d['id'] for d in selected_preloaded_datasets
]
data_list = []
for d in preloaded_datasets:
dataset_data = {
k: d[k]
for k in [
'title', 'file_name', 'id', 'description', 'info_url',
'tags'
]
}
if dataset_data['id'] in selected_preloaded_dataset_ids:
dataset_data['selected'] = True
else:
dataset_data['selected'] = False
dataset_data['details'] = db_access.get_dataset_properties(
project_id, d.get('id'))
data_list.append(dataset_data)
return jsonify({'status': 'success', 'datasets': data_list})
def get_dataset_sample(dataset_id, project_id, start=0, inc=100):
end = start + inc # Upper bound excluded
df = get_data(dataset_id=dataset_id, project_id=project_id)
sample = map(list, df.iloc[start:end].values)
result = db_access.get_dataset_properties(project_id, dataset_id)
result['sample'] = sample
return result
def get_dataset_sample(dataset_id, project_id, start=0, inc=100):
end = start + inc # Upper bound excluded
df = get_data(dataset_id=dataset_id, project_id=project_id)
sample = map(list, df.iloc[start:end].values)
result = db_access.get_dataset_properties(project_id, dataset_id)
result['sample'] = sample
return result
def save_dataset_properties(properties_result, dataset_id, project_id):
properties = properties_result['result']
existing_dataset_properties = db_access.get_dataset_properties(
project_id, dataset_id)
if existing_dataset_properties:
logger.info("Updating field property of dataset %s", dataset_id)
dataset_properties = db_access.update_dataset_properties(
project_id, dataset_id, **properties)
else:
logger.info("Inserting field property of dataset %s", dataset_id)
dataset_properties = db_access.insert_dataset_properties(
project_id, dataset_id, **properties)
return {'desc': 'Done saving dataset properties', 'result': None}
def get_dataset_sample(dataset_id, project_id, start=0, inc=100):
end = start + inc # Upper bound excluded
df = get_data(dataset_id=dataset_id, project_id=project_id)
#sample = map(list, df.iloc[start:end].values)
sample = df.iloc[start:end].values.tolist()
#print('get_dataset_sample')
#print('df', df)
#print('df.iloc[start:end].values', df.iloc[start:end].values)
#print('sample', sample)
result = db_access.get_dataset_properties(project_id, dataset_id)
#result['sample'] = sample
result['sample'] = sample
return result
def get(self):
args = datasetsGetParser.parse_args()
project_id = args.get('project_id')
has_project_access, auth_message = project_auth(project_id)
if not has_project_access: return auth_message
datasets = db_access.get_datasets(project_id, include_preloaded=True)
data_list = []
for d in datasets:
dataset_data = { k: d[k] for k in [ 'title', 'file_name', 'id', 'description', 'info_url', 'tags', 'preloaded' ]}
dataset_data['details'] = db_access.get_dataset_properties(project_id, d.get('id'))
data_list.append(dataset_data)
return jsonify({'status': 'success', 'datasets': data_list})
def get(self):
args = preloadedDatasetsGetParser.parse_args()
project_id = args.get('project_id')
get_structure = args.get('get_structure')
preloaded_datasets = db_access.get_preloaded_datasets(**args)
selected_preloaded_dataset_ids = []
if project_id:
selected_preloaded_datasets = db_access.get_project_preloaded_datasets(project_id)
selected_preloaded_dataset_ids = [ d['id'] for d in selected_preloaded_datasets ]
data_list = []
for d in preloaded_datasets:
dataset_data = { k: d[k] for k in [ 'title', 'file_name', 'id', 'description', 'info_url', 'tags' ]}
if dataset_data['id'] in selected_preloaded_dataset_ids:
dataset_data['selected'] = True
else:
dataset_data['selected'] = False
dataset_data['details'] = db_access.get_dataset_properties(project_id, d.get('id'))
data_list.append(dataset_data)
return jsonify({'status': 'success', 'datasets': data_list})