Files
galaxy/test/unit/workflows/workflow_support.py
T
E Rasche 32b85ecb59 Only permit yaml.safe_loading of data
Event trusted data, belt + suspenders method.
2017-09-25 11:39:12 +02:00

129 lines
4.0 KiB
Python

from functools import partial
import yaml
from galaxy import model
from galaxy.model import mapping
from galaxy.util import bunch
from galaxy.web.security import SecurityHelper
class MockTrans(object):
def __init__(self):
self.app = TestApp()
self.sa_session = self.app.model.context
self._user = None
def save_workflow(self, workflow):
stored_workflow = model.StoredWorkflow()
stored_workflow.latest_workflow = workflow
workflow.stored_workflow = stored_workflow
stored_workflow.user = self.user
self.sa_session.add(stored_workflow)
self.sa_session.flush()
return stored_workflow
@property
def user(self):
if self._user is None:
self._user = model.User(
email="testworkflows@bx.psu.edu",
password="password"
)
return self._user
class TestApp(object):
def __init__(self):
self.config = bunch.Bunch(
tool_secret="awesome_secret",
)
self.model = mapping.init(
"/tmp",
"sqlite:///:memory:",
create_tables=True
)
self.toolbox = TestToolbox()
self.datatypes_registry = TestDatatypesRegistry()
self.security = SecurityHelper(id_secret="testing")
class TestDatatypesRegistry(object):
def __init__(self):
pass
def get_datatype_by_extension(self, ext):
return ext
class TestToolbox(object):
def __init__(self):
self.tools = {}
def get_tool(self, tool_id, tool_version=None, exact=False):
# Real tool box returns None of missing tool also
return self.tools.get(tool_id, None)
def get_tool_id(self, tool_id):
tool = self.get_tool(tool_id)
return tool and tool.id
def yaml_to_model(has_dict, id_offset=100):
if isinstance(has_dict, str):
has_dict = yaml.safe_load(has_dict)
workflow = model.Workflow()
workflow.steps = []
for i, step in enumerate(has_dict.get("steps", [])):
workflow_step = model.WorkflowStep()
if "order_index" not in step:
step["order_index"] = i
if "id" not in step:
# Fixed Offset ids just to test against assuption order_index != id
step["id"] = id_offset
id_offset += 1
step_type = step.get("type", None)
assert step_type is not None
if step_type == "subworkflow":
subworkflow_dict = step["subworkflow"]
del step["subworkflow"]
subworkflow = yaml_to_model(subworkflow_dict, id_offset=id_offset)
step["subworkflow"] = subworkflow
id_offset += len(subworkflow.steps)
for key, value in step.items():
if key == "input_connections":
connections = []
for conn_dict in value:
conn = model.WorkflowStepConnection()
for conn_key, conn_value in conn_dict.items():
if conn_key == "@output_step":
target_step = workflow.steps[conn_value]
conn_value = target_step
conn_key = "output_step"
if conn_key == "@input_subworkflow_step":
conn_value = step["subworkflow"].step_by_index(conn_value)
conn_key = "input_subworkflow_step"
setattr(conn, conn_key, conn_value)
connections.append(conn)
value = connections
if key == "workflow_outputs":
value = [partial(_dict_to_workflow_output, workflow_step)(_) for _ in value]
setattr(workflow_step, key, value)
workflow.steps.append(workflow_step)
return workflow
def _dict_to_workflow_output(workflow_step, as_dict):
output = model.WorkflowOutput(workflow_step)
for key, value in as_dict.items():
setattr(output, key, value)
return output