Mercurial > repos > shellac > sam_consensus_v3
view env/lib/python3.9/site-packages/cwltool/checker.py @ 0:4f3585e2f14b draft default tip
"planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
author | shellac |
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date | Mon, 22 Mar 2021 18:12:50 +0000 |
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"""Static checking of CWL workflow connectivity.""" from collections import namedtuple from typing import ( Any, Dict, List, MutableMapping, MutableSequence, Optional, Sized, Union, cast, ) from schema_salad.exceptions import ValidationException from schema_salad.sourceline import SourceLine, bullets, strip_dup_lineno from schema_salad.utils import json_dumps from .errors import WorkflowException from .loghandler import _logger from .process import shortname from .utils import CWLObjectType, CWLOutputAtomType, CWLOutputType, SinkType, aslist def _get_type(tp): # type: (Any) -> Any if isinstance(tp, MutableMapping): if tp.get("type") not in ("array", "record", "enum"): return tp["type"] return tp def check_types( srctype: SinkType, sinktype: SinkType, linkMerge: Optional[str], valueFrom: Optional[str], ) -> str: """ Check if the source and sink types are correct. Acceptable types are "pass", "warning", or "exception". """ if valueFrom is not None: return "pass" if linkMerge is None: if can_assign_src_to_sink(srctype, sinktype, strict=True): return "pass" if can_assign_src_to_sink(srctype, sinktype, strict=False): return "warning" return "exception" if linkMerge == "merge_nested": return check_types( {"items": _get_type(srctype), "type": "array"}, _get_type(sinktype), None, None, ) if linkMerge == "merge_flattened": return check_types( merge_flatten_type(_get_type(srctype)), _get_type(sinktype), None, None ) raise WorkflowException(f"Unrecognized linkMerge enum '{linkMerge}'") def merge_flatten_type(src: SinkType) -> CWLOutputType: """Return the merge flattened type of the source type.""" if isinstance(src, MutableSequence): return [merge_flatten_type(cast(SinkType, t)) for t in src] if isinstance(src, MutableMapping) and src.get("type") == "array": return src return {"items": src, "type": "array"} def can_assign_src_to_sink( src: SinkType, sink: Optional[SinkType], strict: bool = False ) -> bool: """ Check for identical type specifications, ignoring extra keys like inputBinding. src: admissible source types sink: admissible sink types In non-strict comparison, at least one source type must match one sink type. In strict comparison, all source types must match at least one sink type. """ if src == "Any" or sink == "Any": return True if isinstance(src, MutableMapping) and isinstance(sink, MutableMapping): if sink.get("not_connected") and strict: return False if src["type"] == "array" and sink["type"] == "array": return can_assign_src_to_sink( cast(MutableSequence[CWLOutputAtomType], src["items"]), cast(MutableSequence[CWLOutputAtomType], sink["items"]), strict, ) if src["type"] == "record" and sink["type"] == "record": return _compare_records(src, sink, strict) if src["type"] == "File" and sink["type"] == "File": for sinksf in cast(List[CWLObjectType], sink.get("secondaryFiles", [])): if not [ 1 for srcsf in cast( List[CWLObjectType], src.get("secondaryFiles", []) ) if sinksf == srcsf ]: if strict: return False return True return can_assign_src_to_sink( cast(SinkType, src["type"]), cast(Optional[SinkType], sink["type"]), strict ) if isinstance(src, MutableSequence): if strict: for this_src in src: if not can_assign_src_to_sink(cast(SinkType, this_src), sink): return False return True for this_src in src: if can_assign_src_to_sink(cast(SinkType, this_src), sink): return True return False if isinstance(sink, MutableSequence): for this_sink in sink: if can_assign_src_to_sink(src, cast(SinkType, this_sink)): return True return False return bool(src == sink) def _compare_records( src: CWLObjectType, sink: CWLObjectType, strict: bool = False ) -> bool: """ Compare two records, ensuring they have compatible fields. This handles normalizing record names, which will be relative to workflow step, so that they can be compared. """ def _rec_fields( rec, ): # type: (MutableMapping[str, Any]) -> MutableMapping[str, Any] out = {} for field in rec["fields"]: name = shortname(field["name"]) out[name] = field["type"] return out srcfields = _rec_fields(src) sinkfields = _rec_fields(sink) for key in sinkfields.keys(): if ( not can_assign_src_to_sink( srcfields.get(key, "null"), sinkfields.get(key, "null"), strict ) and sinkfields.get(key) is not None ): _logger.info( "Record comparison failure for %s and %s\n" "Did not match fields for %s: %s and %s", src["name"], sink["name"], key, srcfields.get(key), sinkfields.get(key), ) return False return True def missing_subset(fullset: List[Any], subset: List[Any]) -> List[Any]: missing = [] for i in subset: if i not in fullset: missing.append(i) return missing def static_checker( workflow_inputs: List[CWLObjectType], workflow_outputs: MutableSequence[CWLObjectType], step_inputs: MutableSequence[CWLObjectType], step_outputs: List[CWLObjectType], param_to_step: Dict[str, CWLObjectType], ) -> None: """Check if all source and sink types of a workflow are compatible before run time.""" # source parameters: workflow_inputs and step_outputs # sink parameters: step_inputs and workflow_outputs # make a dictionary of source parameters, indexed by the "id" field src_parms = workflow_inputs + step_outputs src_dict = {} # type: Dict[str, CWLObjectType] for parm in src_parms: src_dict[cast(str, parm["id"])] = parm step_inputs_val = check_all_types(src_dict, step_inputs, "source", param_to_step) workflow_outputs_val = check_all_types( src_dict, workflow_outputs, "outputSource", param_to_step ) warnings = step_inputs_val["warning"] + workflow_outputs_val["warning"] exceptions = step_inputs_val["exception"] + workflow_outputs_val["exception"] warning_msgs = [] exception_msgs = [] for warning in warnings: src = warning.src sink = warning.sink linkMerge = warning.linkMerge sinksf = sorted( [ p["pattern"] for p in sink.get("secondaryFiles", []) if p.get("required", True) ] ) srcsf = sorted([p["pattern"] for p in src.get("secondaryFiles", [])]) # Every secondaryFile required by the sink, should be declared # by the source missing = missing_subset(srcsf, sinksf) if missing: msg1 = "Parameter '{}' requires secondaryFiles {} but".format( shortname(sink["id"]), missing, ) msg3 = SourceLine(src, "id").makeError( "source '%s' does not provide those secondaryFiles." % (shortname(src["id"])) ) msg4 = SourceLine(src.get("_tool_entry", src), "secondaryFiles").makeError( "To resolve, add missing secondaryFiles patterns to definition of '%s' or" % (shortname(src["id"])) ) msg5 = SourceLine( sink.get("_tool_entry", sink), "secondaryFiles" ).makeError( "mark missing secondaryFiles in definition of '%s' as optional." % shortname(sink["id"]) ) msg = SourceLine(sink).makeError( "{}\n{}".format(msg1, bullets([msg3, msg4, msg5], " ")) ) elif sink.get("not_connected"): if not sink.get("used_by_step"): msg = SourceLine(sink, "type").makeError( "'%s' is not an input parameter of %s, expected %s" % ( shortname(sink["id"]), param_to_step[sink["id"]]["run"], ", ".join( shortname(cast(str, s["id"])) for s in cast( List[Dict[str, Union[str, bool]]], param_to_step[sink["id"]]["inputs"], ) if not s.get("not_connected") ), ) ) else: msg = "" else: msg = ( SourceLine(src, "type").makeError( "Source '%s' of type %s may be incompatible" % (shortname(src["id"]), json_dumps(src["type"])) ) + "\n" + SourceLine(sink, "type").makeError( " with sink '%s' of type %s" % (shortname(sink["id"]), json_dumps(sink["type"])) ) ) if linkMerge is not None: msg += "\n" + SourceLine(sink).makeError( " source has linkMerge method %s" % linkMerge ) if warning.message is not None: msg += "\n" + SourceLine(sink).makeError(" " + warning.message) if msg: warning_msgs.append(msg) for exception in exceptions: src = exception.src sink = exception.sink linkMerge = exception.linkMerge extra_message = exception.message msg = ( SourceLine(src, "type").makeError( "Source '%s' of type %s is incompatible" % (shortname(src["id"]), json_dumps(src["type"])) ) + "\n" + SourceLine(sink, "type").makeError( " with sink '%s' of type %s" % (shortname(sink["id"]), json_dumps(sink["type"])) ) ) if extra_message is not None: msg += "\n" + SourceLine(sink).makeError(" " + extra_message) if linkMerge is not None: msg += "\n" + SourceLine(sink).makeError( " source has linkMerge method %s" % linkMerge ) exception_msgs.append(msg) for sink in step_inputs: if ( "null" != sink["type"] and "null" not in sink["type"] and "source" not in sink and "default" not in sink and "valueFrom" not in sink ): msg = SourceLine(sink).makeError( "Required parameter '%s' does not have source, default, or valueFrom expression" % shortname(sink["id"]) ) exception_msgs.append(msg) all_warning_msg = strip_dup_lineno("\n".join(warning_msgs)) all_exception_msg = strip_dup_lineno("\n" + "\n".join(exception_msgs)) if all_warning_msg: _logger.warning("Workflow checker warning:\n%s", all_warning_msg) if exceptions: raise ValidationException(all_exception_msg) SrcSink = namedtuple("SrcSink", ["src", "sink", "linkMerge", "message"]) def check_all_types( src_dict: Dict[str, CWLObjectType], sinks: MutableSequence[CWLObjectType], sourceField: str, param_to_step: Dict[str, CWLObjectType], ) -> Dict[str, List[SrcSink]]: """ Given a list of sinks, check if their types match with the types of their sources. sourceField is either "soure" or "outputSource" """ validation = {"warning": [], "exception": []} # type: Dict[str, List[SrcSink]] for sink in sinks: if sourceField in sink: valueFrom = cast(Optional[str], sink.get("valueFrom")) pickValue = cast(Optional[str], sink.get("pickValue")) extra_message = None if pickValue is not None: extra_message = "pickValue is: %s" % pickValue if isinstance(sink[sourceField], MutableSequence): linkMerge = cast( Optional[str], sink.get( "linkMerge", ( "merge_nested" if len(cast(Sized, sink[sourceField])) > 1 else None ), ), ) # type: Optional[str] if pickValue in ["first_non_null", "the_only_non_null"]: linkMerge = None srcs_of_sink = [] # type: List[CWLObjectType] for parm_id in cast(MutableSequence[str], sink[sourceField]): srcs_of_sink += [src_dict[parm_id]] if ( is_conditional_step(param_to_step, parm_id) and pickValue is None ): validation["warning"].append( SrcSink( src_dict[parm_id], sink, linkMerge, message="Source is from conditional step, but pickValue is not used", ) ) else: parm_id = cast(str, sink[sourceField]) srcs_of_sink = [src_dict[parm_id]] linkMerge = None if pickValue is not None: validation["warning"].append( SrcSink( src_dict[parm_id], sink, linkMerge, message="pickValue is used but only a single input source is declared", ) ) if is_conditional_step(param_to_step, parm_id): src_typ = aslist(srcs_of_sink[0]["type"]) snk_typ = sink["type"] if "null" not in src_typ: src_typ = ["null"] + cast(List[Any], src_typ) if "null" not in cast( Union[List[str], CWLObjectType], snk_typ ): # Given our type names this works even if not a list validation["warning"].append( SrcSink( src_dict[parm_id], sink, linkMerge, message="Source is from conditional step and may produce `null`", ) ) srcs_of_sink[0]["type"] = src_typ for src in srcs_of_sink: check_result = check_types(src, sink, linkMerge, valueFrom) if check_result == "warning": validation["warning"].append( SrcSink(src, sink, linkMerge, message=extra_message) ) elif check_result == "exception": validation["exception"].append( SrcSink(src, sink, linkMerge, message=extra_message) ) return validation def is_conditional_step(param_to_step: Dict[str, CWLObjectType], parm_id: str) -> bool: source_step = param_to_step.get(parm_id) if source_step is not None: if source_step.get("when") is not None: return True return False