diff --git a/graph_creation/cwl_parsing.py b/graph_creation/cwl_parsing.py
index 792d07db87f3c3b6790ee2aedfa50af822bfab3f..3d43db93a3db525705554e6890ed9216f1c25568 100644
--- a/graph_creation/cwl_parsing.py
+++ b/graph_creation/cwl_parsing.py
@@ -53,4 +53,4 @@ def process_cwl_file(path: str) -> dict:
# Add the file path to the dictionary for reference
yaml_dict['path'] = path
- return yaml_dict
\ No newline at end of file
+ return yaml_dict
\ No newline at end of file
diff --git a/graph_creation/cwl_processing.py b/graph_creation/cwl_processing.py
index 1695f35a1c23d0844287149766832cb83751953c..f7b56770093e16fc864685b2a0f65e208e718a20 100644
--- a/graph_creation/cwl_processing.py
+++ b/graph_creation/cwl_processing.py
@@ -1,11 +1,22 @@
from pathlib import Path
import re
from neo4j import Driver
-from graph_creation.utils import extract_js_expression_dependencies, get_input_source, process_control_dependencies, process_in_param, process_parameter_source
+from graph_creation.utils import extract_js_expression_dependencies, get_input_source, process_control_dependencies, process_in_param, process_output, process_parameter_source, process_step_lookup
from neo4j_graph_queries.create_node_queries import ensure_git_node, ensure_in_parameter_node, ensure_out_parameter_node
from neo4j_graph_queries.create_edge_queries import create_out_param_relationship, create_references_relationship
from neo4j_graph_queries.utils import get_is_workflow
+
+def process_cwl_entity(driver, entity):
+ is_workflow = get_is_workflow(entity)
+ steps = None
+ if is_workflow:
+ steps = process_step_lookup(entity)
+ process_cwl_inputs(driver, entity)
+ process_cwl_outputs(driver, entity, steps)
+ if steps:
+ process_cwl_steps(driver, entity, steps)
+
def process_cwl_inputs(driver: Driver, cwl_entity: dict) -> None:
"""
Processes the inputs of a CWL entity, either as a list or a dictionary of inputs,
@@ -29,8 +40,11 @@ def process_cwl_inputs(driver: Driver, cwl_entity: dict) -> None:
elif isinstance(cwl_entity['inputs'], dict):
# If 'inputs' is a dictionary, iterate over the keys (which are the input IDs)
input_dict = cwl_entity['inputs']
- for key in input_dict.keys():
- process_in_param(driver, key, component_id, input_dict[key]['type'], cwl_entity['class'])
+ for key, value in input_dict.items():
+ if isinstance(value, dict):
+ process_in_param(driver, key, component_id, value['type'], cwl_entity['class'])
+ else:
+ process_in_param(driver, key, component_id, value, cwl_entity['class'])
def process_cwl_outputs(driver: Driver, cwl_entity: dict, step_lookup: dict) -> None:
"""
@@ -58,28 +72,29 @@ def process_cwl_outputs(driver: Driver, cwl_entity: dict, step_lookup: dict) ->
None
"""
component_id = cwl_entity['path']
- for output in cwl_entity['outputs']:
- if isinstance(output, dict):
- # Create out-parameter node with the parameter ID as defined in the component
- # and component ID equal to the path of the componet
- out_param_node = ensure_out_parameter_node(driver, output['id'], component_id, output["type"], cwl_entity['class'])
- out_param_node_internal_id = out_param_node[0]
-
- # If it's not a workflow, create a relationship between the component and the output parameter
- is_worflow = get_is_workflow(cwl_entity)
- if not is_worflow:
- create_out_param_relationship(driver, component_id, out_param_node_internal_id, output['id'])
-
- # If the output has an 'outputSource', process the relationship(s) to the source(s)
+ outputs = cwl_entity['outputs']
+
+ if isinstance(outputs, list):
+ for output in cwl_entity['outputs']:
+ output_id = output['id']
+ output_source = None
if 'outputSource' in output:
- # The output source can be a singular ID or a list of IDs
- if isinstance(output['outputSource'], str):
- source_id = output['outputSource']
- process_parameter_source(driver, out_param_node_internal_id, source_id, component_id, step_lookup)
- elif isinstance(output['outputSource'], list):
- for source_id in output['outputSource']:
- process_parameter_source(driver, out_param_node_internal_id, source_id, component_id, step_lookup)
-
+ output_source = output['outputSource']
+ process_output(driver, output_id, output['type'], component_id, cwl_entity['class'], step_lookup, output_source)
+ else:
+ process_output(driver, output_id, output['type'], component_id, cwl_entity['class'], step_lookup, output_source)
+ elif isinstance(outputs, dict):
+ for output_id, details in outputs.items():
+ if isinstance(details, str):
+ process_output(driver, output_id, details, component_id, cwl_entity['class'], step_lookup)
+ else:
+ if 'outputSource' in details:
+ output_source = details['outputSource']
+ process_output(driver, output_id, output['type'], component_id, cwl_entity['class'], step_lookup, output_source)
+ else:
+ process_output(driver, output_id, details['type'], component_id, cwl_entity['class'], step_lookup)
+
+
def process_cwl_steps(driver: Driver, cwl_entity: dict, step_lookup) -> None:
"""
Processes the steps of a CWL entity, creating necessary nodes and relationships
@@ -110,7 +125,14 @@ def process_cwl_steps(driver: Driver, cwl_entity: dict, step_lookup) -> None:
for step in cwl_entity['steps']:
# Get the resolved path of the step from the step_lookup
- step_path = step_lookup[step['id']]
+ step_path: str = step_lookup[step['id']]
+
+ if not isinstance(step['run'], str):
+ run_dict = step['run']
+ run_dict['path'] = step_path
+ print(f"processing {step_path}")
+ process_cwl_entity(driver, run_dict)
+ continue
# Process the list of inputs of the step
for input in step['in']:
@@ -137,8 +159,9 @@ def process_cwl_steps(driver: Driver, cwl_entity: dict, step_lookup) -> None:
if ref[0] == "parameter":
# Retrieve the source of the referenced input parameter
source = get_input_source(step['in'], ref[1])
- else:
- # The reference already mentions the source (output of a step)
+
+ if not source:
+ # The reference already mentions the source (output of a step or workflow input)
source = ref[1]
if source:
# Create control dependencies from the in-parameters of the step to the source of the reference
diff --git a/graph_creation/repo_processing.py b/graph_creation/repo_processing.py
index 8555ccdc3e8957bbc6ee6067e0676ff04ba39915..ef8ead43a9f6edb9c9dedf7a2daf3a639a317cf9 100644
--- a/graph_creation/repo_processing.py
+++ b/graph_creation/repo_processing.py
@@ -4,6 +4,7 @@ from graph_creation.docker_parsing import parse_all_dockerfiles
from graph_creation.utils import process_step_lookup
from graph_creation.cwl_processing import process_cwl_commandline, process_cwl_inputs, process_cwl_outputs, process_cwl_steps
from neo4j_graph_queries.utils import get_is_workflow
+import pprint
def process_repos(repo_list: list[str], driver: Driver) -> None:
"""
@@ -40,4 +41,4 @@ def process_repos(repo_list: list[str], driver: Driver) -> None:
# elif entity['class'] == 'ExpressionTool':
# process_cwl_expression(driver, entity)
# elif entity['class'] == 'CommandLineTool':
- # process_cwl_commandline(driver, entity, links)
+ # process_cwl_commandline(driver, entity, links)
\ No newline at end of file
diff --git a/graph_creation/utils.py b/graph_creation/utils.py
index c4d69e2c3bbde53c848b6de7ec82c508566a36fe..30d9c23e052b0f8b2553008328f3af3f5a103253 100644
--- a/graph_creation/utils.py
+++ b/graph_creation/utils.py
@@ -2,7 +2,7 @@ from pathlib import Path
from neo4j import Driver
import re
from neo4j_graph_queries.create_node_queries import ensure_component_node, ensure_in_parameter_node, ensure_out_parameter_node
-from neo4j_graph_queries.create_edge_queries import create_control_relationship, create_data_relationship, create_in_param_relationship
+from neo4j_graph_queries.create_edge_queries import create_control_relationship, create_data_relationship, create_in_param_relationship, create_out_param_relationship
from neo4j_graph_queries.processing_queries import get_all_in_parameter_nodes_of_entity
GITLAB_ASTRON ='https://git.astron.nl'
@@ -19,14 +19,20 @@ def process_step_lookup(cwl_entity: dict) -> dict[str, str]:
dict: A dictionary where each key is the ID of the step in the context of the workflow, and the value is the resolved file path of the step
"""
step_lookup = {}
+ # Retrieve the directory containing the workflow file
+ workflow_folder = Path(cwl_entity['path']).parent
+ while ".cwl" in str(workflow_folder):
+ workflow_folder = workflow_folder.parent
+
for step in cwl_entity['steps']:
- # Retrieve the directory containing the workflow file
- workflow_folder = Path(cwl_entity['path']).parent
# Resolve the full path of the step file by combining the workflow folder and the step's 'run' path
- full_step_path = workflow_folder / Path(step['run'])
+ if isinstance(step['run'], str):
+ full_step_path = workflow_folder / Path(step['run'])
+ step_path = resolve_relative_path(full_step_path)
+ else:
+ step_path = Path(cwl_entity['path']) / step['id']
# Resolve the path (deal with "./" and "../")
- step_path = str(resolve_relative_path(full_step_path))
- step_lookup[step['id']] = step_path
+ step_lookup[step['id']] = str(step_path)
return step_lookup
def process_in_param(driver: Driver, param_id: str, component_id: str, param_type: str, component_type: str) -> None:
@@ -43,10 +49,8 @@ def process_in_param(driver: Driver, param_id: str, component_id: str, param_typ
Returns:
None
"""
-
param_node = ensure_in_parameter_node(driver, param_id, component_id, param_type, component_type)
if component_type != "Workflow":
- ensure_component_node(driver, component_id)
create_in_param_relationship(driver, component_id, param_node[0], param_node[1])
def process_parameter_source(driver: Driver, param_node_internal_id: int, source_id: str, workflow_id: str, step_lookup: dict, step_id: str = "") -> None:
@@ -67,7 +71,7 @@ def process_parameter_source(driver: Driver, param_node_internal_id: int, source
source_param_node = get_source_node(driver, source_id, workflow_id, step_lookup)
# Create a relationship between the parameter node and its source
- create_data_relationship(driver, source_param_node, param_node_internal_id,workflow_id, source_id, step_id)
+ create_data_relationship(driver, source_param_node, param_node_internal_id, workflow_id, source_id, step_id)
def get_source_node(driver: Driver, source_id: str, workflow_id: str, step_lookup: dict) -> int:
@@ -189,3 +193,26 @@ def get_input_source(inputs: list[dict], input_id: str) -> str | None:
if inp["id"] == input_id:
return inp.get("source") # returns None if 'source' doesn't exist
return None # returns None if input_id is not found
+
+def process_output(driver, output_id, output_type, component_id, component_type, step_lookup, output_source = None):
+ # Create out-parameter node with the parameter ID as defined in the component
+ # and component ID equal to the path of the componet
+ out_param_node = ensure_out_parameter_node(driver, output_id, component_id, output_type, component_type)
+ out_param_node_internal_id = out_param_node[0]
+
+ # If it's not a workflow, create a relationship between the component and the output parameter
+ if component_type != "Workflow":
+ create_out_param_relationship(driver, component_id, out_param_node_internal_id, output_id)
+
+ # If the output has an 'outputSource', process the relationship(s) to the source(s)
+ if output_source:
+ # The output source can be a singular ID or a list of IDs
+ if isinstance(output_source, str):
+ source_id = output_source
+ print(source_id)
+ process_parameter_source(driver, out_param_node_internal_id, source_id, component_id, step_lookup)
+ elif isinstance(output_source, list):
+ for source_id in output_source:
+ print(source_id)
+ process_parameter_source(driver, out_param_node_internal_id, source_id, component_id, step_lookup)
+
diff --git a/graph_traversal/metric_calculations/FlowCalculation.py b/graph_traversal/metric_calculations/FlowCalculation.py
index 58f7754bcda866a439d30efb1cf832b089c74443..bcfa305be1dfb63dd00574c90eb357e3bb752fc9 100644
--- a/graph_traversal/metric_calculations/FlowCalculation.py
+++ b/graph_traversal/metric_calculations/FlowCalculation.py
@@ -62,9 +62,8 @@ class FlowCalculation:
paths: dict[str, dict[str, list]] = {}
workflow_ids = sorted_components
for workflow in workflow_ids:
- if "example" not in workflow:
- print(f"Preprocessing: {workflow}")
- self.bsf_traverse_paths_change_impact(session, workflow, bookkeeping, paths)
+ print(f"Preprocessing: {workflow}")
+ self.bsf_traverse_paths_change_impact(session, workflow, bookkeeping, paths)
with open("flow_paths.json", "w") as json_file:
json.dump(paths, json_file, indent=4)
@@ -201,8 +200,9 @@ class FlowCalculation:
self.process_direct_indirect_flow_of_node_id(node_id, component_id, outer_workflows, component_stack,
step_stack, bookkeeping, paths, direct=True)
- # Increment depth as we move deeper into the traversal
- depth = depth + 1
+ # Increment depth as we move deeper into the traversal, unless we just entered a workflow
+ if component_type != "Workflow":
+ depth = depth + 1
# If the stack is empty, return early
if not component_stack: continue
diff --git a/graph_traversal/subgraph_preprocessing/SubgraphPreprocessing.py b/graph_traversal/subgraph_preprocessing/SubgraphPreprocessing.py
index 8c3931d3458f2cfce428b67ef0f569894813b470..a9fc4fc2d7a5122db936c8d2e16ffadf8d2c5973 100644
--- a/graph_traversal/subgraph_preprocessing/SubgraphPreprocessing.py
+++ b/graph_traversal/subgraph_preprocessing/SubgraphPreprocessing.py
@@ -29,14 +29,15 @@ class SubgraphPreprocessing:
for workflow in outer_workflow_ids:
print(f"Preprocessing: {workflow}")
self.traverse_graph_process_paths(session, workflow, bookkeeping)
- control_pairs = get_nodes_with_control_edges(session)
- for pair in control_pairs:
- target_id = pair["targetId"]
- edge_component_id = pair["componentId"]
- edge_id = pair["edgeId"]
+ control_tuples = get_nodes_with_control_edges(session)
+ for tuple in control_tuples:
+ target_id = tuple["targetId"]
+ edge_component_id = tuple["componentId"]
+ edge_id = tuple["edgeId"]
result = get_workflow_list_of_data_edges_from_node(session, target_id, edge_component_id)
workflow_lists = [record["workflow_list"] for record in result]
- update_workflow_list_of_edge(session, edge_id, workflow_lists[0])
+ if len(workflow_lists) > 0:
+ update_workflow_list_of_edge(session, edge_id, workflow_lists[0])
def traverse_graph_process_paths(self, session: Session, component_id: str, bookkeeping):
diff --git a/neo4j_graph_queries/create_edge_queries.py b/neo4j_graph_queries/create_edge_queries.py
index 4e8f000c4a5e6ac4549665a173e9460ad352f2c2..05552a740df060acfc6d5a57702a5a6d7b3006c7 100644
--- a/neo4j_graph_queries/create_edge_queries.py
+++ b/neo4j_graph_queries/create_edge_queries.py
@@ -41,8 +41,6 @@ def create_out_param_relationship(driver: Driver, prefixed_component_id: str, pa
"""
component_id = clean_component_id(prefixed_component_id)
component_node_id = ensure_component_node(driver, component_id)[0]
- print(parameter_internal_id)
- print(component_node_id)
return create_data_relationship(driver, component_node_id, parameter_internal_id, component_id, parameter_id)
diff --git a/neo4j_graph_queries/create_node_queries.py b/neo4j_graph_queries/create_node_queries.py
index 78473467108db79d8d4bae99cca484e090ee5463..c762122e57f98d8e88e83b8299f0696c8b7bb6e5 100644
--- a/neo4j_graph_queries/create_node_queries.py
+++ b/neo4j_graph_queries/create_node_queries.py
@@ -1,4 +1,5 @@
import json
+from pathlib import Path
from neo4j import Driver
from neo4j_graph_queries.utils import clean_component_id
@@ -16,12 +17,14 @@ def ensure_component_node(driver: Driver, prefixed_component_id: str) -> tuple[i
tuple[int,str]: the Neoj4 internal ID of the component node, the component ID of the component
"""
component_id = clean_component_id(prefixed_component_id)
+ nice_id = Path(component_id).stem
query = """
MERGE (c:Component {component_id: $component_id})
+ SET c.nice_id = $nice_id
RETURN elementId(c) AS node_internal_id, c.component_id AS component_id
"""
with driver.session() as session:
- result = session.run(query, component_id=component_id)
+ result = session.run(query, component_id=component_id, nice_id=nice_id)
record = result.single()
return record["node_internal_id"], record["component_id"]
@@ -125,31 +128,4 @@ def ensure_out_parameter_node(driver: Driver, parameter_id: str, prefixed_compon
new_param_type = " OR ".join(new_list)
result = session.run(query, parameter_id=parameter_id, component_id=component_id, param_type=new_param_type, component_type=component_type)
record = result.single()
- return record["node_id"], record["parameter_id"], record["component_id"]
-
-def ensure_data_node(driver: Driver, node_id: str, prefixed_component_id: str) -> tuple[int,str,str]:
- """
- Ensures that there exists a data node with ID node_id
- associated with the component in the file with local path prefixed_component_id.
- The ID of the component can be given based on the local relative path, so it is cleaned
- before querying Neo4j.
-
- Parameters:
- driver (Driver): the Neo4j driver
- node_id (str): the ID of the data
- prefixed_component_id (str): the local relative path of the component
-
- Returns:
- tuple[int,str,str]: the Neoj4 internal ID of the data node, the data ID, the component ID
- """
- component_id = clean_component_id(prefixed_component_id)
- query = """
- MERGE (n:Data {data_id: $node_id, component_id: $component_id})
- RETURN elementId(n) AS node_internal_id, n.data_id AS id_property, n.component_id AS component_id_property
- """
- with driver.session() as session:
- result = session.run(query, node_id=node_id, component_id=component_id)
- record = result.single()
- return record["node_internal_id"], record["id_property"], record["component_id_property"]
-
-
\ No newline at end of file
+ return record["node_id"], record["parameter_id"], record["component_id"]
\ No newline at end of file