def test_default_config_with_mode(self):
config = default_config(mode="prod")
auth = auth_from_config(config)
self.assertEqual(config["url"], default_url(mode="prod"))
self.assertEqual(auth, None)
client = client_from_config(config)
self.assertEqual(client.http_client.auth_strategy, None)
self.assertEqual(client.url, default_url(mode="prod"))
def test_default_config_with_mode(self):
config = default_config(mode="prod")
auth = auth_from_config(config)
self.assertEqual(config["url"], default_url(mode="prod"))
self.assertEqual(auth, None)
client = client_from_config(config)
self.assertEqual(client.http_client.auth_strategy, None)
self.assertEqual(client.url, default_url(mode="prod"))
#!/usr/bin/python
"""
Make sure you have your environment setup!
1. You need Python requests >= 2.3.0
2. You need the datacat module directory in your path.
"""
from datacat import client_from_config
from datacat.config import default_config
import pprint
client = client_from_config(default_config("exo", "prod"))
# Path example
print("\nPath Example:")
path = '/EXO/Data/Raw/cxd/run00006220-0000.cxd'
try:
dataset = client.path(path)
pprint.pprint(dataset.__dict__)
except Exception as e:
print("Error processing request:" + str(e))
# Children example
print("\nChildren Example:")
path = '/EXO/Data/Raw'
try:
import os, sys
from datacat import client_from_config, config_from_file
from datacat.model import Metadata
# datacat
config_file ='./config_srs.ini'
config = config_from_file(config_file)
client = client_from_config(config)
# file/datacatalog path
file_path = os.path.abspath("../../../test/data/")
def main():
# Will generate 2 datasets, in this case we are only using 1 of the generated 2
created_datasets = create_datasets()
dataset001 = created_datasets[0]
# *****************************************************
# *****************************************************
# ******* GROUP DEPENDENCY CREATION BEGINS HERE *******
# *****************************************************
# *****************************************************
# adding the datasets with their dependentType to a groups metadata (predecessor)
metadata = Metadata()
dep_metadataPredecessor = {
"dependents": str(dataset001.versionPk),
"dependentType": "predecessor"
}
#!/usr/bin/python
"""
Make sure you have your environment setup!
1. You need Python requests >= 2.3.0
2. You need the datacat module directory in your path.
"""
from datacat import client_from_config
from datacat.config import default_config
import pprint
client = client_from_config(default_config("exo", "prod"))
# Path example
print("\nPath Example:")
path = '/EXO/Data/Raw/cxd/run00006220-0000.cxd'
try:
dataset = client.path(path)
pprint.pprint(dataset.__dict__)
except Exception as e:
print("Error processing request:" + str(e))
# Children example
print("\nChildren Example:")
path = '/EXO/Data/Raw'
