def translate_tool(
self,
tool,
to_console=True,
to_disk=False,
export_path=None,
with_docker=True,
with_resource_overrides=False,
max_cores=None,
max_mem=None,
):
tool_out = self.stringify_translated_tool(
self.translate_tool_internal(
tool,
with_docker=with_docker,
with_resource_overrides=with_resource_overrides,
))
if to_console:
print(tool_out)
if to_disk:
d = ExportPathKeywords.resolve(export_path,
workflow_spec=self.name,
workflow_name=tool.id())
if not os.path.exists(d):
os.makedirs(d)
fn_tool = self.tool_filename(tool)
with open(os.path.join(d, fn_tool), "w+") as wf:
Logger.log(f"Writing {fn_tool} to disk")
wf.write(tool_out)
Logger.log(f"Wrote {fn_tool} to disk")
return tool_out
def get_value_for_key(d, key, default):
val = d.get(key)
if not val:
return default.get(key) if default else None
Logger.log(f"Got value '{val}' for key '{key}'")
return val
def get(self, type_name, tag: Optional[str]) -> Optional[T]:
if type_name not in self.registry:
return None
tagged_objs = self.registry[type_name]
versions_without_default = set(tagged_objs.keys())
if self.default_tag in versions_without_default:
versions_without_default.remove(self.default_tag)
Logger.debug(
f"'{type_name}' has {len(versions_without_default)} versions ({', '.join(versions_without_default)})"
)
if tag is None or tag == self.default_tag:
if self.default_tag in tagged_objs:
Logger.info(
f"Using the default tag for '{type_name}' from {len(versions_without_default)} version(s): {', '.join(versions_without_default)}"
)
return tagged_objs.get(self.default_tag)[0]
return None
if tag not in tagged_objs:
Logger.log(
"Found collection '{tool}' in registry, but couldn't find tag '{tag}'"
.format(tool=type_name, tag=tag))
return None
return tagged_objs[tag]
def map_to_wdl(t: NativeType):
import wdlgen as wdl
if t == NativeTypes.kBool:
return wdl.PrimitiveType.kBoolean
elif t == NativeTypes.kInt:
return wdl.PrimitiveType.kInt
elif (t == NativeTypes.kLong or t == NativeTypes.kFloat
or t == NativeTypes.kDouble):
return wdl.PrimitiveType.kFloat
elif t == NativeTypes.kStr:
return wdl.PrimitiveType.kString
elif t == NativeTypes.kFile:
return wdl.PrimitiveType.kFile
elif t == NativeTypes.kStdout:
return wdl.PrimitiveType.kFile
elif t == NativeTypes.kStderr:
return wdl.PrimitiveType.kFile
elif t == NativeTypes.kDirectory:
Logger.log(
"Using data_type 'Directory' for wdl, this requires cromwell>=37 and language=development"
)
return wdl.PrimitiveType.kDirectory
elif t == NativeTypes.kArray:
return wdl.ArrayType.kArray
raise Exception(
f"Unhandled primitive type {t}, expected one of {', '.join(NativeTypes.all)}"
)
def __init__(self, **connections):
super().__init__(metadata_class=WorkflowMetadata)
self.connections = connections
Logger.log(f"Creating workflow with identifier: '{self.id()}'")
if not Validators.validate_identifier(self.id()):
raise Exception(
f"The identifier '{self.id()}' was invalid because {Validators.reason_for_failure(self.id())}"
)
# The following variables allow us to quickly check data about the graph
self.nodes: Dict[str, Node] = {}
self.input_nodes: Dict[str, InputNode] = {}
self.step_nodes: Dict[str, StepNode] = {}
self.output_nodes: Dict[str, OutputNode] = {}
# Flags for different requirements that a workflow might need
self.has_scatter = False
self.has_subworkflow = False
self.has_multiple_inputs = False
# Now that we've initialised everything, we can "construct" the workflows for that subclass this class
# else, for the WorkflowBuilder it will do nothing and they'll add workflows later
self.constructor()
def hydrate(force=False, modules: list = None):
# go get everything
if JanisShed._has_been_hydrated and not force:
return
if not modules:
modules = []
modules.extend(JanisShed._get_datatype_entrypoints())
modules.extend(JanisShed._get_tool_entrypoints())
level = None
cl = Logger.CONSOLE_LEVEL
if JanisShed.should_trace:
level = cl if cl >= LogLevel.DEBUG else LogLevel.DEBUG
Logger.log(
f"Setting CONSOLE_LEVEL to {LogLevel.get_str(level) or 'None'} while traversing modules"
)
Logger.set_console_level(level)
seen_modules = set()
seen_classes = set()
for m in modules:
JanisShed.traverse_module(m,
seen_modules=seen_modules,
seen_classes=seen_classes)
Logger.set_console_level(cl)
Logger.log(
f"Restoring CONSOLE_LEVEL to {LogLevel.get_str(cl)} now that Janis shed has been hydrated"
)
JanisShed._has_been_hydrated = True
def add_tool(tool: Tool) -> bool:
v: Optional[str] = tool.version()
if not v:
t = f"The tool {tool.id()} did not have a version and will not be registered"
Logger.critical(t)
return False
Logger.log("Adding tool: " + tool.id())
JanisShed._byclassname.register(tool.__class__.__name__, tool)
return JanisShed._toolshed.register(tool.id().lower(), v.lower(), tool)
def check_types(self):
from janis_core.workflow.workflow import InputNode, StepNode
stoolin: TOutput = self.start.outputs()[
self.stag
] if self.stag is not None else first_value(self.start.outputs())
ftoolin: TInput = self.finish.inputs()[
self.ftag
] if self.ftag is not None else first_value(self.finish.inputs())
stype = stoolin.outtype
ftype = ftoolin.intype
start_is_scattered = (
isinstance(self.start, StepNode) and self.start.scatter is not None
)
if start_is_scattered:
Logger.log(
f"This edge merges the inputs from '{full_dot(self.start, self.stag)}' for "
f"'{full_dot(self.finish, self.ftag)}'"
)
stype = Array(stype)
if self.scatter:
if not isinstance(stype, Array):
raise Exception(
f"Scatter was required for '{self.start.id()}.{self.stag} → '{self.finish.id()}.{self.ftag}' but "
f"the input type was {type(stype).__name__} and not an array"
)
stype = stype.subtype()
source_has_default = (
isinstance(self.start, InputNode) and self.start.default is not None
)
# Scatters are handled automatically by the StepTagInput Array unwrapping
# Merges are handled automatically by the `start_is_scattered` Array wrap
self.compatible_types = ftype.can_receive_from(stype, source_has_default)
if not self.compatible_types:
if isinstance(ftype, Array) and ftype.subtype().can_receive_from(stype):
self.compatible_types = True
if not self.compatible_types:
s = full_dot(self.start, self.stag)
f = full_dot(self.finish, self.ftag)
message = (
f"Mismatch of types when joining '{s}' to '{f}': "
f"{stoolin.outtype.id()} -/→ {ftoolin.intype.id()}"
)
if isinstance(stype, Array) and ftype.can_receive_from(stype.subtype()):
message += " (did you forget to SCATTER?)"
Logger.critical(message)
def link_copy_or_fail(source: str, dest: str, force=False):
"""
Eventually move this to some generic util class
:param source: Source to link from
:param dest: Place to link to
:param force: Overwrite destination if it exists
:return:
"""
try:
to_copy = [(
LocalFileScheme.prepare_path(source),
LocalFileScheme.prepare_path(dest),
)]
while len(to_copy) > 0:
s, d = to_copy.pop(0)
# Check if path is Null/None
if not s:
continue
if not d:
continue
if os.path.exists(d) and force:
Logger.debug(f"Destination exists, overwriting '{d}'")
if os.path.isdir(d):
rmtree(d)
else:
os.remove(d)
Logger.log(f"Hard linking {s} → {d}")
if os.path.isdir(s):
os.makedirs(d, exist_ok=True)
for f in os.listdir(s):
to_copy.append((os.path.join(s, f), os.path.join(d,
f)))
continue
try:
os.link(s, d)
except FileExistsError:
Logger.critical(
"The file 'd' already exists. The force flag is required to overwrite."
)
except Exception as e:
Logger.warn("Couldn't link file: " + str(e))
# if this fails, it should error
Logger.log(f"Copying file {s} → {d}")
copyfile(s, d)
except Exception as e:
Logger.critical(
f"An unexpected error occurred when link/copying {source} -> {dest}: {e}"
)
def __init__(self, d: dict, default: dict):
d = d if d else {}
self.id = JanisConfiguration.get_value_for_key(
d, self.Keys.Id, default)
Logger.log("Got template ID: " + str(self.id))
# remove this id from the dictionary: https://stackoverflow.com/a/15411146/
d.pop(self.Keys.Id.value, None)
self.template = from_template(self.id, d)
def raw_metadata(self,
identifier,
expand_subworkflows=True) -> Optional[CromwellMetadata]:
url = self.url_metadata(identifier=identifier,
expand_subworkflows=expand_subworkflows)
if not self.last_contacted:
self.last_contacted = datetime.now()
Logger.log(
f"Getting Cromwell metadata for task '{identifier}' with url: {url}"
)
try:
r = request.urlopen(url)
self.connectionerrorcount = 0
self.last_contacted = datetime.now()
data = r.read()
jsonobj = json.loads(
data.decode(r.info().get_content_charset("utf-8")))
return CromwellMetadata(jsonobj)
except request.HTTPError as e:
if e.code == 404:
# Usually means Cromwell hasn't loaded properly yet
return None
try:
body = e.read().decode()
jsonobj = json.loads(body) if body else {}
message = jsonobj.get(
"message", "An unexpected error occurred: " + str(e))
Logger.warn("Response when getting Cromwell metadata: " +
str(message))
except Exception as ee:
Logger.warn(str(e))
finally:
return None
except request.URLError as e:
self.connectionerrorcount += 1
if (datetime.now() -
self.last_contacted).total_seconds() / 60 > self.timeout:
self.something_has_happened_to_cromwell(
"last_updated_threshold") # idk, pick a number
return None
if self.connectionerrorcount > 50:
raise e
else:
Logger.warn("Error connecting to cromwell instance: " + str(e))
return None
def add_source(self, start: Node, stag: Optional[str], should_scatter) -> Edge:
"""
Add a connection
:param start:
:param stag:
:param should_scatter:
:return:
"""
from janis_core.workflow.workflow import StepNode
stype = (
start.outputs()[stag] if stag is not None else first_value(start.outputs())
).outtype
ftype = (
self.finish.inputs()[self.ftag]
if self.ftag is not None
else first_value(self.finish.inputs())
).intype
start_is_scattered = isinstance(start, StepNode) and start.scatter is not None
if start_is_scattered:
Logger.log(
f"This edge merges the inputs from '{full_dot(start, stag)}' for "
f"'{full_dot(self.finish, self.ftag)}'"
)
stype = Array(stype)
if should_scatter:
if not isinstance(stype, Array):
raise Exception(
f"Scatter was required for '{start.id()}.{stag} → '{self.finish.id()}.{self.ftag}' but "
f"the input type was {type(stype).__name__} and not an array"
)
stype = stype.subtype()
if len(self.source_map) == 1 and start.id() not in self.source_map:
self.multiple_inputs = True
if not isinstance(ftype, Array):
raise Exception(
f"Adding multiple inputs to '{self.finish.id()}' and '{ftype.id()}' is not an array"
)
if not isinstance(stype, Array) and isinstance(ftype, Array):
# https://www.commonwl.org/user_guide/misc/#connect-a-solo-value-to-an-input-that-expects-an-array-of-that-type
self.multiple_inputs = True
e = Edge(start, stag, self.finish, self.ftag, should_scatter=should_scatter)
self.source_map[start.id()] = e
return e
def __init__(self, source: Selector, finish: Node, ftag: Optional[str],
should_scatter):
Logger.log(
f"Creating edge: ({source} → "
f"({NodeType.to_str(finish.node_type)}) '{finish.id()}.{ftag}'")
self.source = source
self.finish: Node = finish
self.ftag: Optional[str] = ftag
self.compatible_types: Optional[bool] = None
self.scatter = should_scatter
self.validate_tags()
self.check_types()
def __init__(self, id: str = None, **d):
"""
:param id:
:type id: The identifier of the template
"""
from janis_assistant.templates import from_template
self.id = (id or EnvVariables.default_template.resolve()
or "local") # change default here
self.templateconfig = {k: v for k, v in d.items()}
Logger.log("Got template ID: " + str(self.id))
self.template = from_template(self.id, self.templateconfig)
def hydrate_datapoints():
if JanisShed._has_hydrated_datatypes:
return Logger.log(
"Skipping hydrating datapoints (as already hydrated)")
JanisShed.hydrate_from(JanisShed._get_datatype_entrypoints())
JanisShed._has_hydrated_datatypes = True
def get(self, type_name, tag: Optional[str]) -> Optional[T]:
if type_name not in self.registry:
return None
tagged_objs = self.registry[type_name]
if tag is None or tag == self.default_tag:
if self.default_tag in tagged_objs:
return tagged_objs.get(self.default_tag)[0]
return None
if tag not in tagged_objs:
Logger.log(
"Found collection '{tool}' in registry, but couldn't find tag '{tag}'"
.format(tool=type_name, tag=tag))
return None
return tagged_objs[tag]
def get_keywords_between_braces(
text, argument_validator=variable_name_validator
) -> Tuple[set, int]:
counter = 0
highest_level = -1
start_idx = None
matches = set()
rejected = set()
skipped = set()
for i in range(len(text)):
char = text[i]
if char == "{":
counter += 1
highest_level = max(highest_level, counter)
if start_idx is None:
start_idx = i
elif char == "}" and counter > 0:
counter -= 1
if start_idx is not None and counter == 0:
match = text[start_idx + 1 : i]
if highest_level > 1:
skipped.add(match)
elif argument_validator is not None and not argument_validator(match):
rejected.add(match)
else:
matches.add(match)
highest_level = -1
start_idx = None
extra: List[str] = []
if len(matches) > 0:
extra.append("matches=" + ",".join(matches))
if len(rejected) > 0:
extra.append("rejected=" + ",".join(rejected))
if len(skipped) > 0:
extra.append("skipped=" + ",".join(skipped))
extrastr = ""
if len(extra) > 0:
extrastr = " (" + " | ".join(extra) + ")"
Logger.log(f"Recognised {len(matches)} matches in '{text}'" + extrastr)
return matches, counter
def hydrate_transformations():
if JanisShed._has_hydrated_transformations:
return Logger.log(
"Skipping hydrating transformations (as already hydrated")
transformations = JanisShed._get_datatype_transformations_from_entrypoints(
)
JanisShed._transformationgraph.add_edges(transformations)
JanisShed._has_hydrated_transformations = True
def hydrate_from(modules: list):
level = None
cl = Logger.CONSOLE_LEVEL
if JanisShed.should_trace:
level = cl if cl >= LogLevel.DEBUG else LogLevel.DEBUG
Logger.log(
f"Setting CONSOLE_LEVEL to {LogLevel.get_str(level) or 'None'} while traversing modules"
)
Logger.set_console_level(level)
seen_modules = set()
seen_classes = set()
for m in modules:
JanisShed.traverse_module(m,
seen_modules=seen_modules,
seen_classes=seen_classes)
Logger.set_console_level(cl)
Logger.log(
f"Restoring CONSOLE_LEVEL to {LogLevel.get_str(cl)} now that Janis shed has been hydrated"
)
def traverse_module(module,
seen_modules: set,
seen_classes: set,
current_layer=1):
if module.__name__ in seen_modules:
return
Logger.log("Traversing module " + str(module.__name__))
seen_modules.add(module.__name__)
q = {
n: cls
for n, cls in list(module.__dict__.items())
if not n.startswith("__") and type(cls) != type
and not (ismodule(cls) and cls.__name__ in seen_modules) and (
not isinstance(cls, list) and cls not in seen_classes)
}
for k in q:
cls = q[k]
JanisShed.process_cls(cls, seen_modules, seen_classes,
current_layer)
def process_cls(cls, seen_modules, seen_classes: set, current_layer: int):
try:
if ismodule(cls):
if current_layer <= JanisShed.MAX_RECURSION_DEPTH:
return JanisShed.traverse_module(
cls,
seen_modules,
seen_classes,
current_layer=current_layer + 1)
return Logger.log(
f"Skip traversing module '{str(cls)}' as reached maximum depth ({JanisShed.MAX_RECURSION_DEPTH})"
)
elif isfunction(cls):
return
seen_classes.add(cls)
if isclass(cls) and issubclass(cls, DataType):
return JanisShed.add_type(cls)
elif not hasattr(cls, "type") or not callable(cls.type):
return
if (cls == Tool or cls == Workflow or cls == CommandTool
or cls == CodeTool or cls == PythonTool
or cls == WorkflowBuilder or cls == CommandToolBuilder):
return
tp = cls.type()
if isinstance(tp, str) and tp in JanisShed.recognised_types:
if isabstract(cls):
if issubclass(cls, Tool):
abstractmethods = list(cls.__abstractmethods__)
return Logger.warn(
f"The tool '{cls.__name__}' had abstract methods: "
+ ", ".join(abstractmethods))
return
ic = cls() if isclass(cls) else cls
return JanisShed.add_tool(ic)
except Exception as e:
Logger.log(f"{str(e)} for type {str(cls)}")
def __init__(
self,
start: Node,
stag: Optional[str],
finish: Node,
ftag: Optional[str],
should_scatter,
):
Logger.log(
f"Creating edge: ({NodeType.to_str(start.node_type)}) '{start.id()}.{stag}' → "
f"({NodeType.to_str(finish.node_type)}) '{finish.id()}.{ftag}'"
)
self.start: Node = start
self.stag: Optional[str] = stag
self.finish: Node = finish
self.ftag: Optional[str] = ftag
self.compatible_types: Optional[bool] = None
self.scatter = should_scatter
self.validate_tags()
self.check_types()
def process_cls(cls, seen_modules, seen_classes: set):
try:
if ismodule(cls):
return JanisShed.traverse_module(cls, seen_modules, seen_classes)
elif isfunction(cls) or isabstract(cls):
return
elif not isclass(cls):
return
seen_classes.add(cls)
if issubclass(cls, DataType):
return JanisShed.add_type(cls)
elif not hasattr(cls, "type") or not callable(cls.type):
return
elif cls.type() == ToolTypes.Workflow:
return JanisShed.add_tool(cls())
elif cls.type() == ToolTypes.CommandTool:
return JanisShed.add_tool(cls())
except Exception as e:
Logger.log(f"{str(e)} for type {type(cls)}")
def __init__(
self,
start_type: ParseableType,
finish_type: ParseableType,
tool: Tool,
relevant_tool_input: Optional[str] = None,
relevant_tool_output: Optional[str] = None,
):
self.type1 = get_instantiated_type(start_type)
self.type2 = get_instantiated_type(finish_type)
self.tool = tool
connection_type = f"`{self.type1} -> {self.type2}`"
Logger.log(
f"Building transformation for {connection_type} using tool '{tool.id()}"
)
self.relevant_tool_input = self.evaluate_tool_input(
relevant_tool_input)
self.relevant_tool_output = self.evaluate_tool_output(
relevant_tool_output)
def cp_from(
self,
source,
dest,
force=False,
report_progress: Optional[Callable[[float], None]] = None,
):
if force:
Logger.critical("SSHFileScheme does not support the 'force' flag")
args = ["scp", self.connectionstring + ":" + source, dest]
if dest.endswith("bam"):
return Logger.warn(
"Manually skipped BAM file, as they're usually too big")
if os.path.exists(dest):
return Logger.log(f"Skipping as exists ({source} -> {dest}")
Logger.info(
f"Secure copying (SCP) from {self.connectionstring}:{source} to local:{dest}"
)
subprocess.call(args)
def start_engine(self):
Logger.log("Cwltool doesn't run in a server mode, an instance will "
"automatically be started when a task is created")
return self
def create_task(self,
wid,
source,
inputs: list,
dependencies,
workflow_type=None):
# curl \
# -X POST "http://*****:*****@whole_genome_germline.cwl;type=" \
# -F "workflowInputs=@whole_genome_germline-local.yml;type=" \
# -F "[email protected];type=application/zip
from requests import post
url = self.url_create()
max_inputs = 5
if len(inputs) > max_inputs:
raise Exception(
"Too many inputs (yaml files). Proposed: automatic merge into one file."
)
files = {
"workflowSource":
source,
"labels":
json.dumps({"taskid": wid}),
"workflowOptions":
json.dumps({
"google_labels": {
"taskid": wid
},
"monitoring_image": "quay.io/dinvlad/cromwell-monitor",
"workflow_failure_mode": "ContinueWhilePossible",
}),
}
if dependencies:
files["workflowDependencies"] = dependencies
for i in range(len(inputs)):
k = "workflowInputs" + ("" if i == 0 else "_" + str(i + 1))
files[k] = inputs[i]
Logger.log("Posting to " + url)
r = post(url, files=files)
try:
res = r.json()
except Exception as e:
Logger.log_ex(e)
Logger.critical(r.text)
raise e
if not r.ok or r.status_code > 201 or res["status"] != "Submitted":
raise Exception(res)
task_id = res["id"]
return task_id
def raw_metadata(
self,
identifier,
expand_subworkflows=True,
metadata_export_file_path: Optional[str] = None,
) -> Optional[CromwellMetadata]:
url = self.url_metadata(identifier=identifier,
expand_subworkflows=expand_subworkflows)
if not self.last_contacted:
self.last_contacted = datetime.now()
Logger.log(
f"Getting Cromwell metadata for task '{identifier}' with url: {url}"
)
try:
r = request.urlopen(url)
self.connectionerrorcount = 0
self.metadataerrorcount = 0
self.last_contacted = datetime.now()
data = r.read()
jsonobj = json.loads(
data.decode(r.info().get_content_charset("utf-8")))
if metadata_export_file_path:
try:
with open(metadata_export_file_path, "w+") as f:
json.dump(jsonobj, f)
except Exception as e:
Logger.warn(
f"Couldn't persist Cromwell metadata json to '{metadata_export_file_path}': {repr(e)}"
)
return CromwellMetadata(jsonobj)
except request.HTTPError as e:
if e.code == 404:
# Usually means Cromwell hasn't loaded properly yet
return None
er_message = "An unexpected error occurred: " + str(e)
try:
body = e.read().decode()
jsonobj = json.loads(body) if body else {}
message = jsonobj.get("message")
if message:
er_message = f"Response when getting Cromwell metadata: {message}"
except Exception as ee:
er_message = (
f"An additional error occurred while trying to determine the reason"
f" why Cromwell metadata failed (internal: {repr(ee)}): {repr(e)})"
)
finally:
Logger.warn("Couldn't get Cromwell metadata: " +
str(er_message))
self.metadataerrorcount += 1
if self.metadataerrorcount > 5:
# we could check the status of the workflow, or we could just suspend it really
# 5 consecutive errors
raise e
return None
except (request.URLError, ConnectionResetError) as e:
self.connectionerrorcount += 1
minutes_not_able_to_contact_cromwell = (
datetime.now() - self.last_contacted).total_seconds() / 60
if minutes_not_able_to_contact_cromwell > self.timeout:
message = (
f"Janis is receiving a ConnectionResetError when contacting the Cromwell instance "
f"({self.host}) {self.connectionerrorcount} times, and has been unable to connect to "
f"Cromwell for {minutes_not_able_to_contact_cromwell} minutes. "
)
if self.db_type and self.db_type == DatabaseTypeToUse.filebased:
ja_config_url = "https://janis.readthedocs.io/en/latest/references/configuration.html#cromwell"
message += (
"We've seen this issue more frequently when Janis is configuring Cromwell to use the "
"file-based database. We recommend configuring Janis to use a MySQL database through the "
f"`--mysql` flag, visitng '{ja_config_url}', or raising an issue on GitHub ({GITHUB_URL}) "
f"for more information.")
Logger.warn(message)
self.something_has_happened_to_cromwell(
"last_updated_threshold") # idk, pick a number
return None
if self.connectionerrorcount > 15:
raise e
else:
Logger.warn("Error connecting to cromwell instance: " +
repr(e))
return None
def set_default(self, default: Any):
Logger.log(
f"Setting the default of '{self.finish.id()}.{self.ftag}' to be '{str(default)}'"
)
self.default = default
def translate(
self,
workflow,
to_console=True,
tool_to_console=False,
with_docker=True,
with_resource_overrides=False,
to_disk=False,
write_inputs_file=True,
export_path=ExportPathKeywords.default,
should_validate=False,
should_zip=True,
merge_resources=False,
hints=None,
allow_null_if_not_optional=True,
additional_inputs: Dict = None,
max_cores=None,
max_mem=None,
):
# self.validate_inputs(workflow._inputs, allow_null_if_not_optional)
tr_wf, tr_tools = self.translate_workflow(
workflow,
with_docker=with_docker,
with_resource_overrides=with_resource_overrides,
)
tr_inp = self.build_inputs_file(
workflow,
recursive=False,
merge_resources=merge_resources,
hints=hints,
additional_inputs=additional_inputs,
max_cores=max_cores,
max_mem=max_mem,
)
tr_res = self.build_resources_input(workflow, hints)
str_wf = self.stringify_translated_workflow(tr_wf)
str_inp = self.stringify_translated_inputs(tr_inp)
str_tools = [(
"tools/" + self.tool_filename(t),
self.stringify_translated_workflow(tr_tools[t]),
) for t in tr_tools]
str_resources = self.stringify_translated_inputs(tr_res)
if to_console:
print("=== WORKFLOW ===")
print(str_wf)
if tool_to_console:
print("\n=== TOOLS ===")
[print(f":: {t[0]} ::\n" + t[1]) for t in str_tools]
print("\n=== INPUTS ===")
print(str_inp)
if not merge_resources and with_resource_overrides:
print("\n=== RESOURCES ===")
print(str_resources)
d = ExportPathKeywords.resolve(export_path,
workflow_spec=self.name,
workflow_name=workflow.id())
fn_workflow = self.workflow_filename(workflow)
fn_inputs = self.inputs_filename(workflow)
fn_resources = self.resources_filename(workflow)
if to_disk and write_inputs_file:
if not os.path.isdir(d):
os.makedirs(d)
with open(os.path.join(d, fn_inputs), "w+") as f:
Logger.log(f"Writing {fn_inputs} to disk")
f.write(str_inp)
Logger.log(f"Written {fn_inputs} to disk")
else:
Logger.log("Skipping writing input (yaml) job file")
if to_disk:
toolsdir = os.path.join(d, "tools")
if not os.path.isdir(toolsdir):
os.makedirs(toolsdir)
Logger.info(f"Exporting workflow files to '{d}'")
with open(os.path.join(d, fn_workflow), "w+") as wf:
Logger.log(f"Writing {fn_workflow} to disk")
wf.write(str_wf)
Logger.log(f"Wrote {fn_workflow} to disk")
for (fn_tool, str_tool) in str_tools:
with open(os.path.join(d, fn_tool), "w+") as toolfp:
Logger.log(f"Writing {fn_tool} to disk")
toolfp.write(str_tool)
Logger.log(f"Written {fn_tool} to disk")
if not merge_resources and with_resource_overrides:
print("\n=== RESOURCES ===")
with open(os.path.join(d, fn_resources), "w+") as wf:
Logger.log(f"Writing {fn_resources} to disk")
wf.write(str_wf)
Logger.log(f"Wrote {fn_resources} to disk")
print(str_resources)
import subprocess
if should_zip:
Logger.info("Zipping tools")
with Path(d):
FNULL = open(os.devnull, "w")
zip_result = subprocess.run(
["zip", "-r", "tools.zip", "tools/"], stdout=FNULL)
if zip_result.returncode == 0:
Logger.info("Zipped tools")
else:
Logger.critical(zip_result.stderr)
if should_validate:
with Path(d):
Logger.info(f"Validating outputted {self.name}")
enved_vcs = [
(os.getenv(x[1:]) if x.startswith("$") else x)
for x in self.validate_command_for(
fn_workflow, fn_inputs, "tools/", "tools.zip")
]
cwltool_result = subprocess.run(enved_vcs)
if cwltool_result.returncode == 0:
Logger.info("Exported workflow was validated by: " +
" ".join(enved_vcs))
else:
Logger.critical(cwltool_result.stderr)
return str_wf, str_inp, str_tools