from future import standard_library
standard_library.install_aliases()
from future.utils import viewvalues, viewitems
+from past.builtins import basestring
import os
import sys
+import re
import urllib.parse
from functools import partial
import logging
import json
+import copy
from collections import namedtuple
from io import StringIO
+from typing import Mapping, Sequence
if os.name == "posix" and sys.version_info[0] < 3:
import subprocess32 as subprocess
from cwltool.command_line_tool import CommandLineTool
import cwltool.workflow
-from cwltool.process import scandeps, UnsupportedRequirement, normalizeFilesDirs, shortname, Process
+from cwltool.process import (scandeps, UnsupportedRequirement, normalizeFilesDirs,
+ shortname, Process, fill_in_defaults)
from cwltool.load_tool import fetch_document
from cwltool.pathmapper import adjustFileObjs, adjustDirObjs, visit_class
from cwltool.utils import aslist
from cwltool.builder import substitute
from cwltool.pack import pack
+from cwltool.update import INTERNAL_VERSION
+from cwltool.builder import Builder
+import schema_salad.validate as validate
import arvados.collection
+from .util import collectionUUID
import ruamel.yaml as yaml
+from ruamel.yaml.comments import CommentedMap, CommentedSeq
import arvados_cwl.arvdocker
-from .pathmapper import ArvPathMapper, trim_listing
+from .pathmapper import ArvPathMapper, trim_listing, collection_pdh_pattern, collection_uuid_pattern
from ._version import __version__
from . import done
+from . context import ArvRuntimeContext
logger = logging.getLogger('arvados.cwl-runner')
for i in viewvalues(d):
find_defaults(i, op)
-def setSecondary(t, fileobj, discovered):
- if isinstance(fileobj, dict) and fileobj.get("class") == "File":
- if "secondaryFiles" not in fileobj:
- fileobj["secondaryFiles"] = cmap([{"location": substitute(fileobj["location"], sf), "class": "File"} for sf in t["secondaryFiles"]])
- if discovered is not None:
- discovered[fileobj["location"]] = fileobj["secondaryFiles"]
- elif isinstance(fileobj, list):
- for e in fileobj:
- setSecondary(t, e, discovered)
-
-def discover_secondary_files(inputs, job_order, discovered=None):
- for t in inputs:
- if shortname(t["id"]) in job_order and t.get("secondaryFiles"):
- setSecondary(t, job_order[shortname(t["id"])], discovered)
-
+def make_builder(joborder, hints, requirements, runtimeContext):
+ return Builder(
+ job=joborder,
+ files=[], # type: List[Dict[Text, Text]]
+ bindings=[], # type: List[Dict[Text, Any]]
+ schemaDefs={}, # type: Dict[Text, Dict[Text, Any]]
+ names=None, # type: Names
+ requirements=requirements, # type: List[Dict[Text, Any]]
+ hints=hints, # type: List[Dict[Text, Any]]
+ resources={}, # type: Dict[str, int]
+ mutation_manager=None, # type: Optional[MutationManager]
+ formatgraph=None, # type: Optional[Graph]
+ make_fs_access=None, # type: Type[StdFsAccess]
+ fs_access=None, # type: StdFsAccess
+ job_script_provider=runtimeContext.job_script_provider, # type: Optional[Any]
+ timeout=runtimeContext.eval_timeout, # type: float
+ debug=runtimeContext.debug, # type: bool
+ js_console=runtimeContext.js_console, # type: bool
+ force_docker_pull=runtimeContext.force_docker_pull, # type: bool
+ loadListing="", # type: Text
+ outdir="", # type: Text
+ tmpdir="", # type: Text
+ stagedir="", # type: Text
+ )
+
+def search_schemadef(name, reqs):
+ for r in reqs:
+ if r["class"] == "SchemaDefRequirement":
+ for sd in r["types"]:
+ if sd["name"] == name:
+ return sd
+ return None
+
+primitive_types_set = frozenset(("null", "boolean", "int", "long",
+ "float", "double", "string", "record",
+ "array", "enum"))
+
+def set_secondary(fsaccess, builder, inputschema, secondaryspec, primary, discovered):
+ if isinstance(inputschema, Sequence) and not isinstance(inputschema, basestring):
+ # union type, collect all possible secondaryFiles
+ for i in inputschema:
+ set_secondary(fsaccess, builder, i, secondaryspec, primary, discovered)
+ return
+
+ if isinstance(inputschema, basestring):
+ sd = search_schemadef(inputschema, reversed(builder.hints+builder.requirements))
+ if sd:
+ inputschema = sd
+ else:
+ return
+
+ if "secondaryFiles" in inputschema:
+ # set secondaryFiles, may be inherited by compound types.
+ secondaryspec = inputschema["secondaryFiles"]
+
+ if (isinstance(inputschema["type"], (Mapping, Sequence)) and
+ not isinstance(inputschema["type"], basestring)):
+ # compound type (union, array, record)
+ set_secondary(fsaccess, builder, inputschema["type"], secondaryspec, primary, discovered)
+
+ elif (inputschema["type"] == "record" and
+ isinstance(primary, Mapping)):
+ #
+ # record type, find secondary files associated with fields.
+ #
+ for f in inputschema["fields"]:
+ p = primary.get(shortname(f["name"]))
+ if p:
+ set_secondary(fsaccess, builder, f, secondaryspec, p, discovered)
+
+ elif (inputschema["type"] == "array" and
+ isinstance(primary, Sequence)):
+ #
+ # array type, find secondary files of elements
+ #
+ for p in primary:
+ set_secondary(fsaccess, builder, {"type": inputschema["items"]}, secondaryspec, p, discovered)
+
+ elif (inputschema["type"] == "File" and
+ secondaryspec and
+ isinstance(primary, Mapping) and
+ primary.get("class") == "File" and
+ "secondaryFiles" not in primary):
+ #
+ # Found a file, check for secondaryFiles
+ #
+ specs = []
+ primary["secondaryFiles"] = secondaryspec
+ for i, sf in enumerate(aslist(secondaryspec)):
+ pattern = builder.do_eval(sf["pattern"], context=primary)
+ if pattern is None:
+ continue
+ if isinstance(pattern, list):
+ specs.extend(pattern)
+ elif isinstance(pattern, dict):
+ specs.append(pattern)
+ elif isinstance(pattern, str):
+ specs.append({"pattern": pattern})
+ else:
+ raise SourceLine(primary["secondaryFiles"], i, validate.ValidationException).makeError(
+ "Expression must return list, object, string or null")
+
+ found = []
+ for i, sf in enumerate(specs):
+ if isinstance(sf, dict):
+ if sf.get("class") == "File":
+ pattern = sf["basename"]
+ else:
+ pattern = sf["pattern"]
+ required = sf.get("required")
+ elif isinstance(sf, str):
+ pattern = sf
+ required = True
+ else:
+ raise SourceLine(primary["secondaryFiles"], i, validate.ValidationException).makeError(
+ "Expression must return list, object, string or null")
+
+ sfpath = substitute(primary["location"], pattern)
+ required = builder.do_eval(required, context=primary)
+
+ if fsaccess.exists(sfpath):
+ found.append({"location": sfpath, "class": "File"})
+ elif required:
+ raise SourceLine(primary["secondaryFiles"], i, validate.ValidationException).makeError(
+ "Required secondary file '%s' does not exist" % sfpath)
+
+ primary["secondaryFiles"] = cmap(found)
+ if discovered is not None:
+ discovered[primary["location"]] = primary["secondaryFiles"]
+ elif inputschema["type"] not in primitive_types_set:
+ set_secondary(fsaccess, builder, inputschema["type"], secondaryspec, primary, discovered)
+
+def discover_secondary_files(fsaccess, builder, inputs, job_order, discovered=None):
+ for inputschema in inputs:
+ primary = job_order.get(shortname(inputschema["id"]))
+ if isinstance(primary, (Mapping, Sequence)):
+ set_secondary(fsaccess, builder, inputschema, None, primary, discovered)
def upload_dependencies(arvrunner, name, document_loader,
workflowobj, uri, loadref_run,
loadref_fields = set(("$import",))
scanobj = workflowobj
- if "id" in workflowobj:
+ if "id" in workflowobj and not workflowobj["id"].startswith("_:"):
# Need raw file content (before preprocessing) to ensure
# that external references in $include and $mixin are captured.
scanobj = loadref("", workflowobj["id"])
loadref, urljoin=document_loader.fetcher.urljoin)
sc = []
- def only_real(obj):
- # Only interested in local files than need to be uploaded,
- # don't include file literals, keep references, etc.
- sp = obj.get("location", "").split(":")
- if len(sp) > 1 and sp[0] in ("file", "http", "https"):
+ uuids = {}
+
+ def collect_uuids(obj):
+ loc = obj.get("location", "")
+ sp = loc.split(":")
+ if sp[0] == "keep":
+ # Collect collection uuids that need to be resolved to
+ # portable data hashes
+ gp = collection_uuid_pattern.match(loc)
+ if gp:
+ uuids[gp.groups()[0]] = obj
+ if collectionUUID in obj:
+ uuids[obj[collectionUUID]] = obj
+
+ def collect_uploads(obj):
+ loc = obj.get("location", "")
+ sp = loc.split(":")
+ if len(sp) < 1:
+ return
+ if sp[0] in ("file", "http", "https"):
+ # Record local files than need to be uploaded,
+ # don't include file literals, keep references, etc.
sc.append(obj)
+ collect_uuids(obj)
- visit_class(sc_result, ("File", "Directory"), only_real)
+ visit_class(workflowobj, ("File", "Directory"), collect_uuids)
+ visit_class(sc_result, ("File", "Directory"), collect_uploads)
+
+ # Resolve any collection uuids we found to portable data hashes
+ # and assign them to uuid_map
+ uuid_map = {}
+ fetch_uuids = list(uuids.keys())
+ while fetch_uuids:
+ # For a large number of fetch_uuids, API server may limit
+ # response size, so keep fetching from API server has nothing
+ # more to give us.
+ lookups = arvrunner.api.collections().list(
+ filters=[["uuid", "in", fetch_uuids]],
+ count="none",
+ select=["uuid", "portable_data_hash"]).execute(
+ num_retries=arvrunner.num_retries)
+
+ if not lookups["items"]:
+ break
+
+ for l in lookups["items"]:
+ uuid_map[l["uuid"]] = l["portable_data_hash"]
+
+ fetch_uuids = [u for u in fetch_uuids if u not in uuid_map]
normalizeFilesDirs(sc)
discovered = {}
def discover_default_secondary_files(obj):
- discover_secondary_files(obj["inputs"],
- {shortname(t["id"]): t["default"] for t in obj["inputs"] if "default" in t},
+ builder_job_order = {}
+ for t in obj["inputs"]:
+ builder_job_order[shortname(t["id"])] = t["default"] if "default" in t else None
+ # Need to create a builder object to evaluate expressions.
+ builder = make_builder(builder_job_order,
+ obj.get("hints", []),
+ obj.get("requirements", []),
+ ArvRuntimeContext())
+ discover_secondary_files(arvrunner.fs_access,
+ builder,
+ obj["inputs"],
+ builder_job_order,
discovered)
- visit_class(workflowobj, ("CommandLineTool", "Workflow"), discover_default_secondary_files)
+ copied, _ = document_loader.resolve_all(copy.deepcopy(cmap(workflowobj)), base_url=uri, checklinks=False)
+ visit_class(copied, ("CommandLineTool", "Workflow"), discover_default_secondary_files)
for d in list(discovered):
# Only interested in discovered secondaryFiles which are local
single_collection=True)
def setloc(p):
- if "location" in p and (not p["location"].startswith("_:")) and (not p["location"].startswith("keep:")):
+ loc = p.get("location")
+ if loc and (not loc.startswith("_:")) and (not loc.startswith("keep:")):
p["location"] = mapper.mapper(p["location"]).resolved
+ return
+
+ if not loc:
+ return
+
+ if collectionUUID in p:
+ uuid = p[collectionUUID]
+ if uuid not in uuid_map:
+ raise SourceLine(p, collectionUUID, validate.ValidationException).makeError(
+ "Collection uuid %s not found" % uuid)
+ gp = collection_pdh_pattern.match(loc)
+ if gp and uuid_map[uuid] != gp.groups()[0]:
+ # This file entry has both collectionUUID and a PDH
+ # location. If the PDH doesn't match the one returned
+ # the API server, raise an error.
+ raise SourceLine(p, "location", validate.ValidationException).makeError(
+ "Expected collection uuid %s to be %s but API server reported %s" % (
+ uuid, gp.groups()[0], uuid_map[p[collectionUUID]]))
+
+ gp = collection_uuid_pattern.match(loc)
+ if not gp:
+ return
+ uuid = gp.groups()[0]
+ if uuid not in uuid_map:
+ raise SourceLine(p, "location", validate.ValidationException).makeError(
+ "Collection uuid %s not found" % uuid)
+ p["location"] = "keep:%s%s" % (uuid_map[uuid], gp.groups()[1] if gp.groups()[1] else "")
+ p[collectionUUID] = uuid
visit_class(workflowobj, ("File", "Directory"), setloc)
visit_class(discovered, ("File", "Directory"), setloc)
discovered_secondaryfiles[mapper.mapper(d).resolved] = discovered[d]
if "$schemas" in workflowobj:
- sch = []
+ sch = CommentedSeq()
for s in workflowobj["$schemas"]:
sch.append(mapper.mapper(s).resolved)
workflowobj["$schemas"] = sch
A "packed" workflow is one where all the components have been combined into a single document."""
rewrites = {}
- packed = pack(tool.doc_loader, tool.doc_loader.fetch(tool.tool["id"]),
- tool.tool["id"], tool.metadata, rewrite_out=rewrites)
+ packed = pack(arvrunner.loadingContext, tool.tool["id"],
+ rewrite_out=rewrites,
+ loader=tool.doc_loader)
rewrite_to_orig = {v: k for k,v in viewitems(rewrites)}
def visit(v, cur_id):
if isinstance(v, dict):
if v.get("class") in ("CommandLineTool", "Workflow"):
- if "id" not in v:
- raise SourceLine(v, None, Exception).makeError("Embedded process object is missing required 'id' field")
- cur_id = rewrite_to_orig.get(v["id"], v["id"])
+ if tool.metadata["cwlVersion"] == "v1.0" and "id" not in v:
+ raise SourceLine(v, None, Exception).makeError("Embedded process object is missing required 'id' field, add an 'id' or use to cwlVersion: v1.1")
+ if "id" in v:
+ cur_id = rewrite_to_orig.get(v["id"], v["id"])
+ if "path" in v and "location" not in v:
+ v["location"] = v["path"]
+ del v["path"]
if "location" in v and not v["location"].startswith("keep:"):
v["location"] = merged_map[cur_id].resolved[v["location"]]
if "location" in v and v["location"] in merged_map[cur_id].secondaryFiles:
object with 'location' updated to the proper keep references.
"""
- discover_secondary_files(tool.tool["inputs"], job_order)
+ # Make a copy of the job order and set defaults.
+ builder_job_order = copy.copy(job_order)
+
+ # fill_in_defaults throws an error if there are any
+ # missing required parameters, we don't want it to do that
+ # so make them all optional.
+ inputs_copy = copy.deepcopy(tool.tool["inputs"])
+ for i in inputs_copy:
+ if "null" not in i["type"]:
+ i["type"] = ["null"] + aslist(i["type"])
+
+ fill_in_defaults(inputs_copy,
+ builder_job_order,
+ arvrunner.fs_access)
+ # Need to create a builder object to evaluate expressions.
+ builder = make_builder(builder_job_order,
+ tool.hints,
+ tool.requirements,
+ ArvRuntimeContext())
+ # Now update job_order with secondaryFiles
+ discover_secondary_files(arvrunner.fs_access,
+ builder,
+ tool.tool["inputs"],
+ job_order)
jobmapper = upload_dependencies(arvrunner,
name,
"""Base class for runner processes, which submit an instance of
arvados-cwl-runner and wait for the final result."""
- def __init__(self, runner, tool, loadingContext, enable_reuse,
+ def __init__(self, runner, updated_tool,
+ tool, loadingContext, enable_reuse,
output_name, output_tags, submit_runner_ram=0,
name=None, on_error=None, submit_runner_image=None,
intermediate_output_ttl=0, merged_map=None,
collection_cache_size=256,
collection_cache_is_default=True):
- super(Runner, self).__init__(tool.tool, loadingContext)
+ loadingContext = loadingContext.copy()
+ loadingContext.metadata = updated_tool.metadata.copy()
+
+ super(Runner, self).__init__(updated_tool.tool, loadingContext)
self.arvrunner = runner
self.embedded_tool = tool
self.intermediate_output_ttl = intermediate_output_ttl
self.priority = priority
self.secret_store = secret_store
+ self.enable_dev = loadingContext.enable_dev
self.submit_runner_cores = 1
self.submit_runner_ram = 1024 # defaut 1 GiB
projects / arvados.git / blobdiff