Files
galaxy/test/functional/api/helpers.py
T
John Chilton 77a0d8f277 Start rework of API test mixin TestsDataset into an plain object.
Mirroring the newer WorkflowPopulator and LibraryPopulator.
2014-02-27 18:06:36 -06:00

205 lines
7.9 KiB
Python

import time
import json
import StringIO
from pkg_resources import resource_string
# Simple workflow that takes an input and call cat wrapper on it.
workflow_str = resource_string( __name__, "test_workflow_1.ga" )
# Simple workflow that takes an input and filters with random lines twice in a
# row - first grabbing 8 lines at random and then 6.
workflow_random_x2_str = resource_string( __name__, "test_workflow_2.ga" )
# Deprecated mixin, use dataset populator instead.
# TODO: Rework existing tests to target DatasetPopulator in a setup method instead.
class TestsDatasets:
def _new_dataset( self, history_id, content='TestData123', **kwds ):
return DatasetPopulator( self.galaxy_interactor ).new_dataset( history_id, content=content, **kwds)
def _wait_for_history( self, history_id, assert_ok=False ):
return DatasetPopulator( self.galaxy_interactor ).wait_for_history( history_id, assert_ok=assert_ok )
def _new_history( self, **kwds ):
return DatasetPopulator( self.galaxy_interactor ).new_history( **kwds )
def _upload_payload( self, history_id, content, **kwds ):
return DatasetPopulator( self.galaxy_interactor ).upload_payload( history_id, content, **kwds )
def _run_tool_payload( self, tool_id, inputs, history_id, **kwds ):
return DatasetPopulator( self.galaxy_interactor ).run_tool_payload( tool_id, inputs, history_id, **kwds )
class DatasetPopulator( object ):
def __init__( self, galaxy_interactor ):
self.galaxy_interactor = galaxy_interactor
def new_dataset( self, history_id, content='TestData123', **kwds ):
payload = self.upload_payload( history_id, content, **kwds )
run_response = self.galaxy_interactor.post( "tools", data=payload )
return run_response.json()["outputs"][0]
def wait_for_history( self, history_id, assert_ok=False ):
wait_on_state( lambda: self.galaxy_interactor.get( "histories/%s" % history_id ), assert_ok=assert_ok )
def new_history( self, **kwds ):
name = kwds.get( "name", "API Test History" )
create_history_response = self.galaxy_interactor.post( "histories", data=dict( name=name ) )
history_id = create_history_response.json()[ "id" ]
return history_id
def upload_payload( self, history_id, content, **kwds ):
name = kwds.get( "name", "Test Dataset" )
dbkey = kwds.get( "dbkey", "?" )
file_type = kwds.get( "file_type", 'txt' )
upload_params = {
'files_0|NAME': name,
'files_0|url_paste': content,
'dbkey': dbkey,
'file_type': file_type,
}
if "to_posix_lines" in kwds:
upload_params[ "files_0|to_posix_lines"] = kwds[ "to_posix_lines" ]
if "space_to_tab" in kwds:
upload_params[ "files_0|space_to_tab" ] = kwds[ "space_to_tab" ]
return self.run_tool_payload(
tool_id='upload1',
inputs=upload_params,
history_id=history_id,
upload_type='upload_dataset'
)
def run_tool_payload( self, tool_id, inputs, history_id, **kwds ):
return dict(
tool_id=tool_id,
inputs=json.dumps(inputs),
history_id=history_id,
**kwds
)
class WorkflowPopulator( object ):
# Impulse is to make this a Mixin, but probably better as an object.
def __init__( self, api_test_case ):
self.api_test_case = api_test_case
def load_workflow( self, name, content=workflow_str, add_pja=False ):
workflow = json.loads( content )
workflow[ "name" ] = name
if add_pja:
tool_step = workflow[ "steps" ][ "2" ]
tool_step[ "post_job_actions" ][ "RenameDatasetActionout_file1" ] = dict(
action_type="RenameDatasetAction",
output_name="out_file1",
action_arguments=dict( newname="the_new_name" ),
)
return workflow
def load_random_x2_workflow( self, name ):
return self.load_workflow( name, content=workflow_random_x2_str )
def simple_workflow( self, name, **create_kwds ):
workflow = self.load_workflow( name )
return self.create_workflow( workflow, **create_kwds )
def create_workflow( self, workflow, **create_kwds ):
data = dict(
workflow=json.dumps( workflow ),
**create_kwds
)
upload_response = self.api_test_case._post( "workflows/upload", data=data )
uploaded_workflow_id = upload_response.json()[ "id" ]
return uploaded_workflow_id
class LibraryPopulator( object ):
def __init__( self, api_test_case ):
self.api_test_case = api_test_case
self.galaxy_interactor = api_test_case.galaxy_interactor
def new_private_library( self, name ):
library = self.new_library( name )
library_id = library[ "id" ]
role_id = self.user_private_role_id()
self.set_permissions( library_id, role_id )
return library
def new_library( self, name ):
data = dict( name=name )
create_response = self.galaxy_interactor.post( "libraries", data=data, admin=True )
return create_response.json()
def set_permissions( self, library_id, role_id=None ):
if role_id:
perm_list = json.dumps( role_id )
else:
perm_list = json.dumps( [] )
permissions = dict(
LIBRARY_ACCESS_in=perm_list,
LIBRARY_MODIFY_in=perm_list,
LIBRARY_ADD_in=perm_list,
LIBRARY_MANAGE_in=perm_list,
)
self.galaxy_interactor.post( "libraries/%s/permissions" % library_id, data=permissions, admin=True )
def user_email( self ):
users_response = self.galaxy_interactor.get( "users" )
users = users_response.json()
assert len( users ) == 1
return users[ 0 ][ "email" ]
def user_private_role_id( self ):
user_email = self.user_email()
roles_response = self.api_test_case.galaxy_interactor.get( "roles", admin=True )
users_roles = [ r for r in roles_response.json() if r[ "name" ] == user_email ]
assert len( users_roles ) == 1
return users_roles[ 0 ][ "id" ]
def create_dataset_request( self, library, **kwds ):
create_data = {
"folder_id": kwds.get( "folder_id", library[ "root_folder_id" ] ),
"create_type": "file",
"files_0|NAME": kwds.get( "name", "NewFile" ),
"upload_option": kwds.get( "upload_option", "upload_file" ),
"file_type": kwds.get( "file_type", "auto" ),
"db_key": kwds.get( "db_key", "?" ),
}
files = {
"files_0|file_data": kwds.get( "file", StringIO.StringIO( kwds.get( "contents", "TestData" ) ) ),
}
return create_data, files
def new_library_dataset( self, name, **create_dataset_kwds ):
library = self.new_private_library( name )
payload, files = self.create_dataset_request( library, **create_dataset_kwds )
url_rel = "libraries/%s/contents" % ( library[ "id" ] )
dataset = self.api_test_case.galaxy_interactor.post( url_rel, payload, files=files ).json()[0]
def show():
return self.api_test_case.galaxy_interactor.get( "libraries/%s/contents/%s" % ( library[ "id" ], dataset[ "id" ] ) )
wait_on_state(show)
return show().json()
def wait_on_state( state_func, assert_ok=False, timeout=5 ):
delta = .1
iteration = 0
while True:
if (delta * iteration) > timeout:
assert False, "Timed out waiting on state."
iteration += 1
response = state_func()
assert response.status_code == 200, "Failed to fetch state update while waiting."
state = response.json()[ "state" ]
if state not in [ "running", "queued", "new" ]:
break
time.sleep( delta )
if assert_ok:
assert state == "ok", "Final state - %s - not okay." % state