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Source code for galaxy.tools.data_fetch
import argparse
import errno
import json
import os
import shutil
import sys
import tempfile
from io import StringIO
import bdbag.bdbag_api
from galaxy.datatypes import sniff
from galaxy.datatypes.registry import Registry
from galaxy.datatypes.upload_util import (
handle_upload,
UploadProblemException,
)
from galaxy.util import in_directory, safe_makedirs
from galaxy.util.bunch import Bunch
from galaxy.util.compression_utils import CompressedFile
from galaxy.util.hash_util import HASH_NAMES, memory_bound_hexdigest
DESCRIPTION = """Data Import Script"""
[docs]def main(argv=None):
if argv is None:
argv = sys.argv[1:]
args = _arg_parser().parse_args(argv)
registry = Registry()
registry.load_datatypes(root_dir=args.galaxy_root, config=args.datatypes_registry)
request_path = args.request
assert os.path.exists(request_path)
with open(request_path) as f:
request = json.load(f)
working_directory = args.working_directory or os.getcwd()
allow_failed_collections = request.get("allow_failed_collections", False)
upload_config = UploadConfig(request, registry, working_directory, allow_failed_collections)
galaxy_json = _request_to_galaxy_json(upload_config, request)
galaxy_json_path = os.path.join(working_directory, "galaxy.json")
with open(galaxy_json_path, "w") as f:
json.dump(galaxy_json, f)
def _request_to_galaxy_json(upload_config, request):
targets = request.get("targets", [])
fetched_targets = []
for target in targets:
fetched_target = _fetch_target(upload_config, target)
fetched_targets.append(fetched_target)
return {"__unnamed_outputs": fetched_targets}
def _fetch_target(upload_config, target):
destination = target.get("destination", None)
assert destination, "No destination defined."
def expand_elements_from(target_or_item):
elements_from = target_or_item.get("elements_from", None)
items = None
if elements_from:
if elements_from == "archive":
decompressed_directory = _decompress_target(upload_config, target_or_item)
items = _directory_to_items(decompressed_directory)
elif elements_from == "bagit":
_, elements_from_path = _has_src_to_path(upload_config, target_or_item, is_dataset=False)
items = _bagit_to_items(elements_from_path)
elif elements_from == "bagit_archive":
decompressed_directory = _decompress_target(upload_config, target_or_item)
items = _bagit_to_items(decompressed_directory)
elif elements_from == "directory":
_, elements_from_path = _has_src_to_path(upload_config, target_or_item, is_dataset=False)
items = _directory_to_items(elements_from_path)
else:
raise Exception("Unknown elements from type encountered [%s]" % elements_from)
if items:
del target_or_item["elements_from"]
target_or_item["elements"] = items
expansion_error = None
try:
_for_each_src(expand_elements_from, target)
except Exception as e:
expansion_error = "Error expanding elements/items for upload destination. %s" % str(e)
if expansion_error is None:
items = target.get("elements", None)
assert items is not None, "No element definition found for destination [%s]" % destination
else:
items = []
fetched_target = {}
fetched_target["destination"] = destination
destination_type = destination["type"]
is_collection = destination_type == "hdca"
failed_elements = []
if "collection_type" in target:
fetched_target["collection_type"] = target["collection_type"]
if "name" in target:
fetched_target["name"] = target["name"]
def _copy_and_validate_simple_attributes(src_item, target_metadata):
info = src_item.get("info", None)
created_from_basename = src_item.get("created_from_basename", None)
tags = src_item.get("tags", [])
object_id = src_item.get("object_id", None)
if info is not None:
target_metadata["info"] = info
if object_id is not None:
target_metadata["object_id"] = object_id
if tags:
target_metadata["tags"] = tags
if created_from_basename:
target_metadata["created_from_basename"] = created_from_basename
if "error_message" in src_item:
target_metadata["error_message"] = src_item["error_message"]
return target_metadata
def _resolve_item(item):
# Might be a dataset or a composite upload.
requested_ext = item.get("ext", None)
registry = upload_config.registry
datatype = registry.get_datatype_by_extension(requested_ext)
composite = item.pop("composite", None)
if datatype and datatype.composite_type:
composite_type = datatype.composite_type
writable_files = datatype.writable_files
assert composite_type == "auto_primary_file", "basic composite uploads not yet implemented"
# get_composite_dataset_name finds dataset name from basename of contents
# and such but we're not implementing that here yet. yagni?
# also need name...
dataset_bunch = Bunch()
name = item.get("name") or 'Composite Dataset'
dataset_bunch.name = name
primary_file = sniff.stream_to_file(StringIO(datatype.generate_primary_file(dataset_bunch)), prefix='upload_auto_primary_file', dir=".")
extra_files_path = primary_file + "_extra"
os.mkdir(extra_files_path)
rval = {
"name": name,
"filename": primary_file,
"ext": requested_ext,
"link_data_only": False,
"sources": [],
"hashes": [],
"extra_files": extra_files_path,
}
_copy_and_validate_simple_attributes(item, rval)
composite_items = composite.get("elements", [])
keys = [value.name for value in writable_files.values()]
composite_item_idx = 0
for composite_item in composite_items:
if composite_item_idx >= len(keys):
# raise exception - too many files?
pass
key = keys[composite_item_idx]
writable_file = writable_files[key]
_, src_target = _has_src_to_path(upload_config, composite_item)
# do the writing
sniff.handle_composite_file(
datatype,
src_target,
extra_files_path,
key,
writable_file.is_binary,
".",
os.path.basename(extra_files_path) + "_",
composite_item,
)
composite_item_idx += 1
writable_files_idx = composite_item_idx
while writable_files_idx < len(keys):
key = keys[writable_files_idx]
writable_file = writable_files[key]
if not writable_file.optional:
# raise Exception, non-optional file missing
pass
writable_files_idx += 1
return rval
else:
if composite:
raise Exception("Non-composite datatype [%s] attempting to be created with composite data." % datatype)
return _resolve_item_with_primary(item)
def _resolve_item_with_primary(item):
error_message = None
converted_path = None
name, path = _has_src_to_path(upload_config, item, is_dataset=True)
sources = []
url = item.get("url")
if url:
sources.append({"source_uri": url})
hashes = item.get("hashes", [])
for hash_dict in hashes:
hash_function = hash_dict.get("hash_function")
hash_value = hash_dict.get("hash_value")
try:
_handle_hash_validation(upload_config, hash_function, hash_value, path)
except Exception as e:
error_message = str(e)
item["error_message"] = error_message
dbkey = item.get("dbkey", "?")
link_data_only = upload_config.link_data_only
if "link_data_only" in item:
# Allow overriding this on a per file basis.
link_data_only = _link_data_only(item)
ext = "data"
staged_extra_files = None
if not error_message:
requested_ext = item.get("ext", "auto")
to_posix_lines = upload_config.get_option(item, "to_posix_lines")
space_to_tab = upload_config.get_option(item, "space_to_tab")
auto_decompress = upload_config.get_option(item, "auto_decompress")
in_place = item.get("in_place", False)
purge_source = item.get("purge_source", True)
registry = upload_config.registry
check_content = upload_config.check_content
stdout, ext, datatype, is_binary, converted_path = handle_upload(
registry=registry,
path=path,
requested_ext=requested_ext,
name=name,
tmp_prefix='data_fetch_upload_',
tmp_dir=".",
check_content=check_content,
link_data_only=link_data_only,
in_place=in_place,
auto_decompress=auto_decompress,
convert_to_posix_lines=to_posix_lines,
convert_spaces_to_tabs=space_to_tab,
)
if link_data_only:
# Never alter a file that will not be copied to Galaxy's local file store.
if datatype.dataset_content_needs_grooming(path):
err_msg = 'The uploaded files need grooming, so change your <b>Copy data into Galaxy?</b> selection to be ' + \
'<b>Copy files into Galaxy</b> instead of <b>Link to files without copying into Galaxy</b> so grooming can be performed.'
raise UploadProblemException(err_msg)
# If this file is not in the workdir make sure it gets there.
if not link_data_only and converted_path:
path = upload_config.ensure_in_working_directory(converted_path, purge_source, in_place)
elif not link_data_only:
path = upload_config.ensure_in_working_directory(path, purge_source, in_place)
extra_files = item.get("extra_files")
if extra_files:
# TODO: optimize to just copy the whole directory to extra files instead.
assert not upload_config.link_data_only, "linking composite dataset files not yet implemented"
extra_files_path = path + "_extra"
staged_extra_files = extra_files_path
os.mkdir(extra_files_path)
def walk_extra_files(items, prefix=""):
for item in items:
if "elements" in item:
name = item.get("name")
if not prefix:
item_prefix = name
else:
item_prefix = os.path.join(prefix, name)
walk_extra_files(item.get("elements"), prefix=item_prefix)
else:
name, src_path = _has_src_to_path(upload_config, item)
if prefix:
rel_path = os.path.join(prefix, name)
else:
rel_path = name
file_output_path = os.path.join(staged_extra_files, rel_path)
parent_dir = os.path.dirname(file_output_path)
if not os.path.exists(parent_dir):
safe_makedirs(parent_dir)
shutil.move(src_path, file_output_path)
walk_extra_files(extra_files.get("elements", []))
# TODO:
# in galaxy json add 'extra_files' and point at target derived from extra_files:
if not link_data_only and datatype and datatype.dataset_content_needs_grooming(path):
# Groom the dataset content if necessary
datatype.groom_dataset_content(path)
rval = {"name": name, "filename": path, "dbkey": dbkey, "ext": ext, "link_data_only": link_data_only, "sources": sources, "hashes": hashes}
if staged_extra_files:
rval["extra_files"] = os.path.abspath(staged_extra_files)
return _copy_and_validate_simple_attributes(item, rval)
def _resolve_item_capture_error(item):
try:
return _resolve_item(item)
except Exception as e:
rval = {"error_message": str(e)}
rval = _copy_and_validate_simple_attributes(item, rval)
failed_elements.append(rval)
return rval
if expansion_error is None:
elements = elements_tree_map(_resolve_item_capture_error, items)
if is_collection and not upload_config.allow_failed_collections and len(failed_elements) > 0:
element_error = "Failed to fetch collection element(s):\n"
for failed_element in failed_elements:
element_error += "\n- %s" % failed_element["error_message"]
fetched_target["error_message"] = element_error
fetched_target["elements"] = None
else:
fetched_target["elements"] = elements
else:
fetched_target["elements"] = []
fetched_target["error_message"] = expansion_error
return fetched_target
def _bagit_to_items(directory):
bdbag.bdbag_api.resolve_fetch(directory)
bdbag.bdbag_api.validate_bag(directory)
items = _directory_to_items(os.path.join(directory, "data"))
return items
def _decompress_target(upload_config, target):
elements_from_name, elements_from_path = _has_src_to_path(upload_config, target, is_dataset=False)
# by default Galaxy will check for a directory with a single file and interpret that
# as the new root for expansion, this is a good user experience for uploading single
# files in a archive but not great from an API perspective. Allow disabling by setting
# fuzzy_root to False to literally interpret the target.
fuzzy_root = target.get("fuzzy_root", True)
temp_directory = os.path.abspath(tempfile.mkdtemp(prefix=elements_from_name, dir="."))
cf = CompressedFile(elements_from_path)
result = cf.extract(temp_directory)
return result if fuzzy_root else temp_directory
[docs]def elements_tree_map(f, items):
new_items = []
for item in items:
if "elements" in item:
new_item = item.copy()
new_item["elements"] = elements_tree_map(f, item["elements"])
new_items.append(new_item)
else:
new_items.append(f(item))
return new_items
def _directory_to_items(directory):
items = []
dir_elements = {}
for root, dirs, files in os.walk(directory):
if root in dir_elements:
target = dir_elements[root]
else:
target = items
for dir in sorted(dirs):
dir_dict = {"name": dir, "elements": []}
dir_elements[os.path.join(root, dir)] = dir_dict["elements"]
target.append(dir_dict)
for file in sorted(files):
target.append({"src": "path", "path": os.path.join(root, file)})
return items
def _has_src_to_path(upload_config, item, is_dataset=False):
assert "src" in item, item
src = item.get("src")
name = item.get("name")
if src == "url":
url = item.get("url")
try:
path = sniff.stream_url_to_file(url, file_sources=get_file_sources(upload_config.working_directory))
except Exception as e:
raise Exception("Failed to fetch url {}. {}".format(url, str(e)))
if not is_dataset:
# Actual target dataset will validate and put results in dict
# that gets passed back to Galaxy.
for hash_function in HASH_NAMES:
hash_value = item.get(hash_function)
if hash_value:
_handle_hash_validation(upload_config, hash_function, hash_value, path)
if name is None:
name = url.split("/")[-1]
elif src == "pasted":
path = sniff.stream_to_file(StringIO(item["paste_content"]))
if name is None:
name = "Pasted Entry"
else:
assert src == "path"
path = item["path"]
if name is None:
name = os.path.basename(path)
return name, path
def _handle_hash_validation(upload_config, hash_function, hash_value, path):
if upload_config.validate_hashes:
calculated_hash_value = memory_bound_hexdigest(hash_func_name=hash_function, path=path)
if calculated_hash_value != hash_value:
raise Exception(f"Failed to validate upload with [{hash_function}] - expected [{hash_value}] got [{calculated_hash_value}]")
def _arg_parser():
parser = argparse.ArgumentParser(description=DESCRIPTION)
parser.add_argument("--galaxy-root")
parser.add_argument("--datatypes-registry")
parser.add_argument("--request-version")
parser.add_argument("--request")
parser.add_argument("--working-directory")
return parser
_file_sources = None
[docs]def get_file_sources(working_directory):
global _file_sources
if _file_sources is None:
from galaxy.files import ConfiguredFileSources
file_sources = None
file_sources_path = os.path.join(working_directory, "file_sources.json")
if os.path.exists(file_sources_path):
file_sources_as_dict = None
with open(file_sources_path) as f:
file_sources_as_dict = json.load(f)
if file_sources_as_dict is not None:
file_sources = ConfiguredFileSources.from_dict(file_sources_as_dict)
if file_sources is None:
ConfiguredFileSources.from_dict(None)
_file_sources = file_sources
return _file_sources
[docs]class UploadConfig:
[docs] def __init__(self, request, registry, working_directory, allow_failed_collections):
self.registry = registry
self.working_directory = working_directory
self.allow_failed_collections = allow_failed_collections
self.check_content = request.get("check_content", True)
self.to_posix_lines = request.get("to_posix_lines", False)
self.space_to_tab = request.get("space_to_tab", False)
self.auto_decompress = request.get("auto_decompress", False)
self.validate_hashes = request.get("validate_hashes", False)
self.link_data_only = _link_data_only(request)
self.__workdir = os.path.abspath(".")
self.__upload_count = 0
[docs] def get_option(self, item, key):
"""Return item[key] if specified otherwise use default from UploadConfig.
This default represents the default for the whole request instead item which
is the option for individual files.
"""
if key in item:
return item[key]
else:
return getattr(self, key)
def __new_dataset_path(self):
path = "gxupload_%d" % self.__upload_count
self.__upload_count += 1
return path
[docs] def ensure_in_working_directory(self, path, purge_source, in_place):
if in_directory(path, self.__workdir):
return path
new_path = self.__new_dataset_path()
if purge_source:
try:
shutil.move(path, new_path)
except OSError as e:
# We may not have permission to remove converted_path
if e.errno != errno.EACCES:
raise
else:
shutil.copy(path, new_path)
return new_path
def _link_data_only(has_config_dict):
link_data_only = has_config_dict.get("link_data_only", False)
if not isinstance(link_data_only, bool):
# Allow the older string values of 'copy_files' and 'link_to_files'
link_data_only = link_data_only == "copy_files"
return link_data_only
def _for_each_src(f, obj):
if isinstance(obj, list):
for item in obj:
_for_each_src(f, item)
if isinstance(obj, dict):
if "src" in obj:
f(obj)
for value in obj.values():
_for_each_src(f, value)
if __name__ == "__main__":
main()