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Source code for galaxy.datatypes.registry
"""
Provides mapping between extensions and datatypes, mime-types, etc.
"""
import importlib.util
import logging
import os
import pkgutil
from pathlib import Path
from string import Template
from typing import (
Dict,
List,
Optional,
Tuple,
TYPE_CHECKING,
)
import yaml
import galaxy.util
from galaxy.tool_util.edam_util import load_edam_tree
from galaxy.util import RW_R__R__
from galaxy.util.bunch import Bunch
from . import (
binary,
coverage,
data,
images,
interval,
qualityscore,
sequence,
tabular,
text,
tracks,
xml,
)
from .display_applications.application import DisplayApplication
if TYPE_CHECKING:
from galaxy.model import DatasetInstance
[docs]class Registry:
[docs] def __init__(self, config=None):
edam_ontology_path = config.get("edam_toolbox_ontology_path", None) if config is not None else None
edam = load_edam_tree(
None if not edam_ontology_path or not os.path.exists(edam_ontology_path) else edam_ontology_path,
"format_",
"data_",
"operation_",
"topic_",
)
self.log = logging.getLogger(__name__)
self.log.addHandler(logging.NullHandler())
self.config = config
self.edam = edam
self.datatypes_by_extension = {}
self.datatypes_by_suffix_inferences = {}
self.mimetypes_by_extension = {}
self.datatype_converters = {}
# Converters defined in local datatypes_conf.xml
self.converters = []
self.converter_tools = set()
self.converter_deps = {}
self.available_tracks = []
self.set_external_metadata_tool = None
self.sniff_order = []
self.upload_file_formats = []
# Datatype elements defined in local datatypes_conf.xml that contain display applications.
self.display_app_containers = []
# Map a display application id to a display application
self.display_applications: Dict[str, DisplayApplication] = {}
# The following 2 attributes are used in the to_xml_file()
# method to persist the current state into an xml file.
self.display_path_attr = None
self.converters_path_attr = None
# The 'default' converters_path defined in local datatypes_conf.xml
self.converters_path = None
# The 'default' display_path defined in local datatypes_conf.xml
self.display_applications_path = None
self.inherit_display_application_by_class = []
self.datatype_elems = []
self.datatype_info_dicts = []
self.sniffer_elems = []
self._registry_xml_string = None
self._edam_formats_mapping = None
self._edam_data_mapping = None
self._converters_by_datatype = {}
# Build sites
self.build_sites = {}
self.display_sites = {}
self.legacy_build_sites = {}
[docs] def load_datatypes(
self,
root_dir=None,
config=None,
override=True,
use_converters=True,
use_display_applications=True,
use_build_sites=True,
):
"""
Parse a datatypes XML file located at root_dir/config (if processing the Galaxy distributed config) or contained within
an installed Tool Shed repository.
"""
def __import_module(full_path: str, datatype_module: str):
path_entry_finder = pkgutil.get_importer(full_path)
assert path_entry_finder, "path_entry_finder is None"
spec = path_entry_finder.find_spec(datatype_module)
assert spec, "spec is None"
module = importlib.util.module_from_spec(spec)
assert spec.loader, "spec.loader is None"
spec.loader.exec_module(module)
return module
if root_dir and config:
compressed_sniffers = {}
if isinstance(config, (str, Path)):
# Parse datatypes_conf.xml
tree = galaxy.util.parse_xml(config)
root = tree.getroot()
# Load datatypes and converters from config
self.log.debug(f"Loading datatypes from {config}")
else:
root = config
registration = root.find("registration")
# Set default paths defined in local datatypes_conf.xml.
if use_converters:
if not self.converters_path:
self.converters_path_attr = registration.get("converters_path", "lib/galaxy/datatypes/converters")
self.converters_path = os.path.join(root_dir, self.converters_path_attr)
if self.converters_path_attr == "lib/galaxy/datatypes/converters" and not os.path.isdir(
self.converters_path
):
# Deal with the old default of this path being set in
# datatypes_conf.xml.sample (this path is not useful in an
# "installed Galaxy" world)
self.converters_path_attr = os.path.abspath(
os.path.join(os.path.dirname(__file__), "converters")
)
self.converters_path = self.converters_path_attr
if not os.path.isdir(self.converters_path):
raise ConfigurationError(f"Directory does not exist: {self.converters_path}")
if use_display_applications:
if not self.display_applications_path:
self.display_path_attr = registration.get("display_path", "display_applications")
self.display_applications_path = os.path.join(root_dir, self.display_path_attr)
if self.display_path_attr == "display_applications" and not os.path.isdir("display_applications"):
# Ditto as with converters_path
self.display_path_attr = os.path.abspath(
os.path.join(os.path.dirname(__file__), "display_applications", "configs")
)
self.display_applications_path = self.display_path_attr
for elem in registration.findall("datatype"):
# Keep a status of the process steps to enable stopping the process of handling the datatype if necessary.
ok = True
extension = self.get_extension(elem)
dtype = elem.get("type", None)
type_extension = elem.get("type_extension", None)
auto_compressed_types = galaxy.util.listify(elem.get("auto_compressed_types", ""))
sniff_compressed_types = galaxy.util.string_as_bool_or_none(elem.get("sniff_compressed_types", "None"))
if sniff_compressed_types is None:
sniff_compressed_types = getattr(self.config, "sniff_compressed_dynamic_datatypes_default", True)
# Make sure this is set in the elems we write out so the config option is passed to the upload
# tool which does not have a config object.
elem.set("sniff_compressed_types", str(sniff_compressed_types))
mimetype = elem.get("mimetype", None)
display_in_upload = galaxy.util.string_as_bool(elem.get("display_in_upload", False))
# If make_subclass is True, it does not necessarily imply that we are subclassing a datatype that is contained
# in the distribution.
make_subclass = galaxy.util.string_as_bool(elem.get("subclass", False))
edam_format = elem.get("edam_format", None)
if edam_format and not make_subclass:
self.log.warning("Cannot specify edam_format without setting subclass to True, skipping datatype.")
continue
edam_data = elem.get("edam_data", None)
if edam_data and not make_subclass:
self.log.warning("Cannot specify edam_data without setting subclass to True, skipping datatype.")
continue
# We are loading new datatype, so we'll make sure it is correctly defined before proceeding.
can_process_datatype = False
if extension is not None:
if dtype is not None or type_extension is not None:
if override or extension not in self.datatypes_by_extension:
can_process_datatype = True
if can_process_datatype:
if dtype is not None:
try:
fields = dtype.split(":")
datatype_module = fields[0]
datatype_class_name = fields[1]
except Exception:
self.log.exception("Error parsing datatype definition for dtype %s", str(dtype))
ok = False
if ok:
datatype_class = None
if datatype_class is None:
try:
# The datatype class name must be contained in one of the datatype modules in the Galaxy distribution.
fields = datatype_module.split(".")[1:]
module = __import__(datatype_module)
for mod in fields:
module = getattr(module, mod)
datatype_class = getattr(module, datatype_class_name)
self.log.debug(
f"Retrieved datatype module {str(datatype_module)}:{datatype_class_name} from the datatype registry for extension {extension}."
)
except Exception:
self.log.exception("Error importing datatype module %s", str(datatype_module))
ok = False
elif type_extension is not None:
try:
datatype_class = self.datatypes_by_extension[type_extension].__class__
self.log.debug(
f"Retrieved datatype module {str(datatype_class.__name__)} from type_extension {type_extension} for extension {extension}."
)
except Exception:
self.log.exception(
"Error determining datatype_class for type_extension %s", str(type_extension)
)
ok = False
if ok:
# A new tool shed repository that contains custom datatypes is being installed, and since installation is
# occurring after the datatypes registry has been initialized at server startup, its contents cannot be
# overridden by new introduced conflicting data types unless the value of override is True.
if extension in self.datatypes_by_extension:
# Because of the way that the value of can_process_datatype was set above, we know that the value of
# override is True.
self.log.debug(
"Overriding conflicting datatype with extension '%s', using datatype from %s."
% (str(extension), str(config))
)
if make_subclass:
datatype_class = type(datatype_class_name, (datatype_class,), {})
if edam_format:
datatype_class.edam_format = edam_format
if edam_data:
datatype_class.edam_data = edam_data
datatype_class.is_subclass = make_subclass
description = elem.get("description", None)
description_url = elem.get("description_url", None)
datatype_instance = datatype_class()
self.datatypes_by_extension[extension] = datatype_instance
if mimetype is None:
# Use default mimetype per datatype specification.
mimetype = self.datatypes_by_extension[extension].get_mime()
self.mimetypes_by_extension[extension] = mimetype
if datatype_class.track_type:
self.available_tracks.append(extension)
if display_in_upload and extension not in self.upload_file_formats:
self.upload_file_formats.append(extension)
# Max file size cut off for setting optional metadata.
self.datatypes_by_extension[extension].max_optional_metadata_filesize = elem.get(
"max_optional_metadata_filesize", None
)
infer_from_suffixes = []
# read from element instead of attribute so we can customize references to
# compressed files in the future (e.g. maybe some day faz will be a compressed fasta
# or something along those lines)
for infer_from in elem.findall("infer_from"):
suffix = infer_from.get("suffix", None)
if suffix is None:
raise Exception("Failed to parse infer_from datatype element")
infer_from_suffixes.append(suffix)
self.datatypes_by_suffix_inferences[suffix] = datatype_instance
for converter in elem.findall("converter"):
# Build the list of datatype converters which will later be loaded into the calling app's toolbox.
converter_config = converter.get("file", None)
target_datatype = converter.get("target_datatype", None)
depends_on = converter.get("depends_on", None)
if depends_on is not None and target_datatype is not None:
if extension not in self.converter_deps:
self.converter_deps[extension] = {}
self.converter_deps[extension][target_datatype] = depends_on.split(",")
if converter_config and target_datatype:
self.converters.append((converter_config, extension, target_datatype))
# Add composite files.
for composite_file in elem.findall("composite_file"):
name = composite_file.get("name", None)
if name is None:
self.log.warning(f"You must provide a name for your composite_file ({composite_file}).")
optional = composite_file.get("optional", False)
mimetype = composite_file.get("mimetype", None)
self.datatypes_by_extension[extension].add_composite_file(
name, optional=optional, mimetype=mimetype
)
for _display_app in elem.findall("display"):
if elem not in self.display_app_containers:
self.display_app_containers.append(elem)
datatype_info_dict = {
"display_in_upload": display_in_upload,
"extension": extension,
"description": description,
"description_url": description_url,
}
composite_files = datatype_instance.get_composite_files()
if composite_files:
_composite_files = []
for name, composite_file in composite_files.items():
_composite_file = composite_file.dict()
_composite_file["name"] = name
_composite_files.append(_composite_file)
datatype_info_dict["composite_files"] = _composite_files
self.datatype_info_dicts.append(datatype_info_dict)
for auto_compressed_type in auto_compressed_types:
compressed_extension = f"{extension}.{auto_compressed_type}"
upper_compressed_type = auto_compressed_type[0].upper() + auto_compressed_type[1:]
auto_compressed_type_name = datatype_class_name + upper_compressed_type
attributes = {}
if auto_compressed_type == "gz":
dynamic_parent = binary.GzDynamicCompressedArchive
elif auto_compressed_type == "bz2":
dynamic_parent = binary.Bz2DynamicCompressedArchive
else:
raise Exception(f"Unknown auto compression type [{auto_compressed_type}]")
attributes["file_ext"] = compressed_extension
attributes["uncompressed_datatype_instance"] = datatype_instance
compressed_datatype_class = type(
auto_compressed_type_name,
(
datatype_class,
dynamic_parent,
),
attributes,
)
if edam_format:
compressed_datatype_class.edam_format = edam_format
if edam_data:
compressed_datatype_class.edam_data = edam_data
compressed_datatype_instance = compressed_datatype_class()
self.datatypes_by_extension[compressed_extension] = compressed_datatype_instance
for suffix in infer_from_suffixes:
self.datatypes_by_suffix_inferences[
f"{suffix}.{auto_compressed_type}"
] = compressed_datatype_instance
if display_in_upload and compressed_extension not in self.upload_file_formats:
self.upload_file_formats.append(compressed_extension)
self.datatype_info_dicts.append(
{
"display_in_upload": display_in_upload,
"extension": compressed_extension,
"description": description,
"description_url": description_url,
}
)
if auto_compressed_type == "gz":
self.converters.append(
(
f"uncompressed_to_{auto_compressed_type}.xml",
extension,
compressed_extension,
)
)
self.converters.append(
(f"{auto_compressed_type}_to_uncompressed.xml", compressed_extension, extension)
)
if datatype_class not in compressed_sniffers:
compressed_sniffers[datatype_class] = []
if sniff_compressed_types:
compressed_sniffers[datatype_class].append(compressed_datatype_instance)
# Processing the new datatype elem is now complete, so make sure the element defining it is retained by appending
# the new datatype to the in-memory list of datatype elems to enable persistence.
self.datatype_elems.append(elem)
else:
if extension is not None:
if dtype is not None or type_extension is not None:
if extension in self.datatypes_by_extension:
if not override:
# Do not load the datatype since it conflicts with an existing datatype which we are not supposed
# to override.
self.log.debug(
f"Ignoring conflicting datatype with extension '{extension}' from {config}."
)
# Load datatype sniffers from the config - we'll do this even if one or more datatypes were not properly processed in the config
# since sniffers are not tightly coupled with datatypes.
self.load_datatype_sniffers(
root,
override=override,
compressed_sniffers=compressed_sniffers,
)
self.upload_file_formats.sort()
# Load build sites
if use_build_sites:
self._load_build_sites(root)
self.set_default_values()
def append_to_sniff_order():
sniff_order_classes = {type(_) for _ in self.sniff_order}
for datatype in self.datatypes_by_extension.values():
# Add a datatype only if it is not already in sniff_order, it
# has a sniff() method and was not defined with subclass="true".
# Do not add dynamic compressed types - these were carefully added or not
# to the sniff order in the proper position above.
if (
type(datatype) not in sniff_order_classes
and hasattr(datatype, "sniff")
and not datatype.is_subclass
and not hasattr(datatype, "uncompressed_datatype_instance")
):
self.sniff_order.append(datatype)
append_to_sniff_order()
def _load_build_sites(self, root):
def load_build_site(build_site_config):
# Take in either an XML element or simple dictionary from YAML and add build site for this.
if not (build_site_config.get("type") and build_site_config.get("file")):
self.log.exception("Site is missing required 'type' and 'file' attributes")
return
site_type = build_site_config.get("type")
path = build_site_config.get("file")
if not os.path.exists(path):
sample_path = f"{path}.sample"
if os.path.exists(sample_path):
self.log.debug(f"Build site file [{path}] not found using sample [{sample_path}].")
path = sample_path
self.build_sites[site_type] = path
if site_type in ("ucsc", "gbrowse"):
self.legacy_build_sites[site_type] = galaxy.util.read_build_sites(path)
if build_site_config.get("display", None):
display = build_site_config.get("display")
if not isinstance(display, list):
display = [x.strip() for x in display.lower().split(",")]
self.display_sites[site_type] = display
self.log.debug("Loaded build site '%s': %s with display sites: %s", site_type, path, display)
else:
self.log.debug("Loaded build site '%s': %s", site_type, path)
if root.find("build_sites") is not None:
for elem in root.find("build_sites").findall("site"):
load_build_site(elem)
else:
build_sites_config_file = getattr(self.config, "build_sites_config_file", None)
if build_sites_config_file and os.path.exists(build_sites_config_file):
with open(build_sites_config_file) as f:
build_sites_config = yaml.safe_load(f)
if not isinstance(build_sites_config, list):
self.log.exception("Build sites configuration YAML file does not declare list of sites.")
return
for build_site_config in build_sites_config:
load_build_site(build_site_config)
else:
self.log.debug("No build sites source located.")
[docs] def get_legacy_sites_by_build(self, site_type, build):
sites = []
for site in self.legacy_build_sites.get(site_type, []):
if build in site["builds"]:
sites.append((site["name"], site["url"]))
return sites
[docs] def load_datatype_sniffers(self, root, override=False, compressed_sniffers=None):
"""
Process the sniffers element from a parsed a datatypes XML file located at root_dir/config (if processing the Galaxy
distributed config) or contained within an installed Tool Shed repository.
"""
sniffer_elem_classes = [e.attrib["type"] for e in self.sniffer_elems]
sniffers = root.find("sniffers")
if sniffers is not None:
for elem in sniffers.findall("sniffer"):
# Keep a status of the process steps to enable stopping the process of handling the sniffer if necessary.
ok = True
dtype = elem.get("type", None)
if dtype is not None:
try:
fields = dtype.split(":")
datatype_module = fields[0]
datatype_class_name = fields[1]
module = None
except Exception:
self.log.exception("Error determining datatype class or module for dtype %s", str(dtype))
ok = False
if ok:
if module is None:
try:
# The datatype class name must be contained in one of the datatype modules in the Galaxy distribution.
module = __import__(datatype_module)
for comp in datatype_module.split(".")[1:]:
module = getattr(module, comp)
except Exception:
self.log.exception("Error importing datatype class for '%s'", str(dtype))
ok = False
if ok:
try:
aclass = getattr(module, datatype_class_name)()
except Exception:
self.log.exception(
"Error calling method %s from class %s", str(datatype_class_name), str(module)
)
ok = False
if ok:
# We are loading new sniffer, so see if we have a conflicting sniffer already loaded.
conflict = False
for conflict_loc, sniffer_class in enumerate(self.sniff_order):
if sniffer_class.__class__ == aclass.__class__:
# We have a conflicting sniffer, so replace the one previously loaded.
conflict = True
if override:
del self.sniff_order[conflict_loc]
self.log.debug(f"Removed conflicting sniffer for datatype '{dtype}'")
break
if not conflict or override:
if compressed_sniffers and aclass.__class__ in compressed_sniffers:
for compressed_sniffer in compressed_sniffers[aclass.__class__]:
self.sniff_order.append(compressed_sniffer)
self.sniff_order.append(aclass)
self.log.debug(f"Loaded sniffer for datatype '{dtype}'")
# Processing the new sniffer elem is now complete, so make sure the element defining it is loaded if necessary.
sniffer_class = elem.get("type", None)
if sniffer_class is not None:
if sniffer_class not in sniffer_elem_classes:
self.sniffer_elems.append(elem)
[docs] def get_datatype_from_filename(self, name):
max_extension_parts = 3
generic_datatype_instance = self.get_datatype_by_extension("data")
if "." not in name:
return generic_datatype_instance
extension_parts = name.rsplit(".", max_extension_parts)[1:]
possible_extensions = []
for n, _ in enumerate(extension_parts):
possible_extensions.append(".".join(extension_parts[n:]))
infer_from = self.datatypes_by_suffix_inferences
for possible_extension in possible_extensions:
if possible_extension in infer_from:
return infer_from[possible_extension]
for possible_extension in possible_extensions:
if possible_extension in self.datatypes_by_extension:
return self.datatypes_by_extension[possible_extension]
return generic_datatype_instance
[docs] def is_extension_unsniffable_binary(self, ext):
datatype = self.get_datatype_by_extension(ext)
return datatype is not None and isinstance(datatype, binary.Binary) and not hasattr(datatype, "sniff")
[docs] def get_datatype_class_by_name(self, name):
"""
Return the datatype class where the datatype's `type` attribute
(as defined in the datatype_conf.xml file) contains `name`.
"""
# TODO: obviously not ideal but some of these base classes that are useful for testing datatypes
# aren't loaded into the datatypes registry, so we'd need to test for them here
if name == "images.Image":
return images.Image
# TODO: too inefficient - would be better to generate this once as a map and store in this object
for datatype_obj in self.datatypes_by_extension.values():
datatype_obj_class = datatype_obj.__class__
datatype_obj_class_str = str(datatype_obj_class)
if name in datatype_obj_class_str:
return datatype_obj_class
return None
[docs] def get_mimetype_by_extension(self, ext, default="application/octet-stream"):
"""Returns a mimetype based on an extension"""
try:
mimetype = self.mimetypes_by_extension[ext]
except KeyError:
# datatype was never declared
mimetype = default
self.log.warning(f"unknown mimetype in data factory {str(ext)}")
return mimetype
[docs] def get_datatype_by_extension(self, ext):
"""Returns a datatype object based on an extension"""
return self.datatypes_by_extension.get(ext, None)
[docs] def change_datatype(self, data, ext):
data.extension = ext
# call init_meta and copy metadata from itself. The datatype
# being converted *to* will handle any metadata copying and
# initialization.
if data.has_data():
data.set_size()
data.init_meta(copy_from=data)
return data
[docs] def load_datatype_converters(self, toolbox, use_cached=False):
"""
Add datatype converters from self.converters to the calling app's toolbox.
"""
# Load converters defined by local datatypes_conf.xml.
converters = self.converters
for elem in converters:
tool_config = elem[0]
source_datatype = elem[1]
target_datatype = elem[2]
converter_path = self.converters_path
try:
config_path = os.path.join(converter_path, tool_config)
converter = toolbox.load_tool(config_path, use_cached=use_cached)
self.converter_tools.add(converter)
toolbox.register_tool(converter)
if source_datatype not in self.datatype_converters:
self.datatype_converters[source_datatype] = {}
self.datatype_converters[source_datatype][target_datatype] = converter
if not hasattr(toolbox.app, "tool_cache") or converter.id in toolbox.app.tool_cache._new_tool_ids:
self.log.debug("Loaded converter: %s", converter.id)
except Exception:
self.log.exception(f"Error loading converter ({converter_path})")
[docs] def load_display_applications(self, app):
"""
Add display applications from self.display_app_containers or to appropriate datatypes.
"""
# Load display applications defined by local datatypes_conf.xml.
datatype_elems = self.display_app_containers
for elem in datatype_elems:
extension = self.get_extension(elem)
for display_app in elem.findall("display"):
display_file = display_app.get("file", None)
config_path = os.path.join(self.display_applications_path, display_file)
try:
inherit = galaxy.util.string_as_bool(display_app.get("inherit", "False"))
display_app = DisplayApplication.from_file(config_path, app)
if display_app:
if display_app.id in self.display_applications:
# If we already loaded this display application, we'll use the first one loaded.
display_app = self.display_applications[display_app.id]
self.display_applications[display_app.id] = display_app
self.datatypes_by_extension[extension].add_display_application(display_app)
if (
inherit
and (self.datatypes_by_extension[extension], display_app)
not in self.inherit_display_application_by_class
):
self.inherit_display_application_by_class.append(
(self.datatypes_by_extension[extension], display_app)
)
self.log.debug(
f"Loaded display application '{display_app.id}' for datatype '{extension}', inherit={inherit}."
)
except Exception:
self.log.exception(f"Error loading display application ({config_path})")
# Handle display_application subclass inheritance.
for extension, d_type1 in self.datatypes_by_extension.items():
for d_type2, display_app in self.inherit_display_application_by_class:
current_app = d_type1.get_display_application(display_app.id, None)
if current_app is None and isinstance(d_type1, type(d_type2)):
self.log.debug(f"Adding inherited display application '{display_app.id}' to datatype '{extension}'")
d_type1.add_display_application(display_app)
[docs] def reload_display_applications(self, display_application_ids=None):
"""
Reloads display applications: by id, or all if no ids provided
Returns tuple( [reloaded_ids], [failed_ids] )
"""
if not display_application_ids:
display_application_ids = self.display_applications.keys()
elif not isinstance(display_application_ids, list):
display_application_ids = [display_application_ids]
reloaded = []
failed = []
for display_application_id in display_application_ids:
try:
self.display_applications[display_application_id].reload()
reloaded.append(display_application_id)
except Exception as e:
self.log.debug(
'Requested to reload display application "%s", but failed: %s.', display_application_id, e
)
failed.append(display_application_id)
return (reloaded, failed)
[docs] def load_external_metadata_tool(self, toolbox):
"""Adds a tool which is used to set external metadata"""
# We need to be able to add a job to the queue to set metadata. The queue will currently only accept jobs with an associated
# tool. We'll load a special tool to be used for Auto-Detecting metadata; this is less than ideal, but effective
# Properly building a tool without relying on parsing an XML file is near difficult...so we bundle with Galaxy.
set_meta_tool = toolbox.load_hidden_lib_tool(
os.path.abspath(os.path.join(os.path.dirname(__file__), "set_metadata_tool.xml"))
)
self.set_external_metadata_tool = set_meta_tool
self.log.debug("Loaded external metadata tool: %s", self.set_external_metadata_tool.id)
[docs] def set_default_values(self):
# Default values.
if not self.datatypes_by_extension:
self.datatypes_by_extension = {
"ab1": binary.Ab1(),
"axt": sequence.Axt(),
"bam": binary.Bam(),
"jp2": binary.JP2(),
"bed": interval.Bed(),
"coverage": coverage.LastzCoverage(),
"customtrack": interval.CustomTrack(),
"csfasta": sequence.csFasta(),
"fasta": sequence.Fasta(),
"eland": tabular.Eland(),
"fastq": sequence.Fastq(),
"fastqsanger": sequence.FastqSanger(),
"gtf": interval.Gtf(),
"gff": interval.Gff(),
"gff3": interval.Gff3(),
"genetrack": tracks.GeneTrack(),
"h5": binary.H5(),
"interval": interval.Interval(),
"laj": images.Laj(),
"lav": sequence.Lav(),
"maf": sequence.Maf(),
"pileup": tabular.Pileup(),
"qualsolid": qualityscore.QualityScoreSOLiD(),
"qualsolexa": qualityscore.QualityScoreSolexa(),
"qual454": qualityscore.QualityScore454(),
"sam": tabular.Sam(),
"scf": binary.Scf(),
"sff": binary.Sff(),
"tabular": tabular.Tabular(),
"csv": tabular.CSV(),
"taxonomy": tabular.Taxonomy(),
"txt": data.Text(),
"wig": interval.Wiggle(),
"xml": xml.GenericXml(),
}
self.mimetypes_by_extension = {
"ab1": "application/octet-stream",
"axt": "text/plain",
"bam": "application/octet-stream",
"jp2": "application/octet-stream",
"bed": "text/plain",
"customtrack": "text/plain",
"csfasta": "text/plain",
"eland": "application/octet-stream",
"fasta": "text/plain",
"fastq": "text/plain",
"fastqsanger": "text/plain",
"gtf": "text/plain",
"gff": "text/plain",
"gff3": "text/plain",
"h5": "application/octet-stream",
"interval": "text/plain",
"laj": "text/plain",
"lav": "text/plain",
"maf": "text/plain",
"memexml": "application/xml",
"pileup": "text/plain",
"qualsolid": "text/plain",
"qualsolexa": "text/plain",
"qual454": "text/plain",
"sam": "text/plain",
"scf": "application/octet-stream",
"sff": "application/octet-stream",
"tabular": "text/plain",
"csv": "text/plain",
"taxonomy": "text/plain",
"txt": "text/plain",
"wig": "text/plain",
"xml": "application/xml",
}
# super supertype fix for input steps in workflows.
if "data" not in self.datatypes_by_extension:
self.datatypes_by_extension["data"] = data.Data()
self.mimetypes_by_extension["data"] = "application/octet-stream"
# Default values - the order in which we attempt to determine data types is critical
# because some formats are much more flexibly defined than others.
if len(self.sniff_order) < 1:
self.sniff_order = [
binary.Bam(),
binary.Sff(),
binary.JP2(),
binary.H5(),
xml.GenericXml(),
sequence.Maf(),
sequence.Lav(),
sequence.csFasta(),
qualityscore.QualityScoreSOLiD(),
qualityscore.QualityScore454(),
sequence.Fasta(),
sequence.FastqSanger(),
sequence.FastqCSSanger(),
sequence.Fastq(),
interval.Wiggle(),
text.Html(),
sequence.Axt(),
interval.Bed(),
interval.CustomTrack(),
interval.Gtf(),
interval.Gff(),
interval.Gff3(),
tabular.Pileup(),
interval.Interval(),
tabular.Sam(),
tabular.Eland(),
tabular.CSV(),
]
[docs] def get_converters_by_datatype(self, ext):
"""Returns available converters by source type"""
if ext not in self._converters_by_datatype:
converters = {}
source_datatype = type(self.get_datatype_by_extension(ext))
for ext2, converters_dict in self.datatype_converters.items():
converter_datatype = type(self.get_datatype_by_extension(ext2))
if issubclass(source_datatype, converter_datatype):
converters.update({k: v for k, v in converters_dict.items() if k != ext})
# Ensure ext-level converters are present
if ext in self.datatype_converters.keys():
converters.update(self.datatype_converters[ext])
self._converters_by_datatype[ext] = converters
return self._converters_by_datatype[ext]
[docs] def get_converter_by_target_type(self, source_ext, target_ext):
"""Returns a converter based on source and target datatypes"""
converters = self.get_converters_by_datatype(source_ext)
if target_ext in converters.keys():
return converters[target_ext]
return None
[docs] def find_conversion_destination_for_dataset_by_extensions(
self, dataset_or_ext, accepted_formats: List[str], converter_safe: bool = True
) -> Tuple[bool, Optional[str], Optional["DatasetInstance"]]:
"""
returns (direct_match, converted_ext, converted_dataset)
- direct match is True iff no the data set already has an accepted format
- target_ext becomes None if conversion is not possible (or necesary)
"""
if hasattr(dataset_or_ext, "ext"):
ext = dataset_or_ext.ext
dataset = dataset_or_ext
else:
ext = dataset_or_ext
dataset = None
datatype_by_extension = self.get_datatype_by_extension(ext)
if datatype_by_extension and datatype_by_extension.matches_any(accepted_formats):
return True, None, None
for convert_ext in self.get_converters_by_datatype(ext):
convert_ext_datatype = self.get_datatype_by_extension(convert_ext)
if convert_ext_datatype is None:
self.log.warning(
f"Datatype class not found for extension '{convert_ext}', which is used as target for conversion from datatype '{dataset.ext}'"
)
elif convert_ext_datatype.matches_any(accepted_formats):
converted_dataset = dataset and dataset.get_converted_files_by_type(convert_ext)
if converted_dataset:
ret_data = converted_dataset
elif not converter_safe:
continue
else:
ret_data = None
return False, convert_ext, ret_data
return False, None, None
[docs] def get_composite_extensions(self):
return [ext for (ext, d_type) in self.datatypes_by_extension.items() if d_type.composite_type is not None]
[docs] def get_upload_metadata_params(self, context, group, tool):
"""Returns dict of case value:inputs for metadata conditional for upload tool"""
rval = {}
for ext, d_type in self.datatypes_by_extension.items():
inputs = []
for meta_name, meta_spec in d_type.metadata_spec.items():
if meta_spec.set_in_upload:
help_txt = meta_spec.desc
if not help_txt or help_txt == meta_name:
help_txt = ""
inputs.append(
f'<param type="text" name="{meta_name}" label="Set metadata value for "{meta_name}"" value="{meta_spec.default}" help="{help_txt}"/>'
)
rval[ext] = "\n".join(inputs)
if "auto" not in rval and "txt" in rval: # need to manually add 'auto' datatype
rval["auto"] = rval["txt"]
return rval
@property
def edam_formats(self):
""" """
if not self._edam_formats_mapping:
self._edam_formats_mapping = {k: v.edam_format for k, v in self.datatypes_by_extension.items()}
return self._edam_formats_mapping
@property
def edam_data(self):
""" """
if not self._edam_data_mapping:
self._edam_data_mapping = {k: v.edam_data for k, v in self.datatypes_by_extension.items()}
return self._edam_data_mapping
[docs] def to_xml_file(self, path):
if not self._registry_xml_string:
registry_string_template = Template(
"""<?xml version="1.0"?>
<datatypes>
<registration converters_path="$converters_path" display_path="$display_path">
$datatype_elems
</registration>
<sniffers>
$sniffer_elems
</sniffers>
</datatypes>
"""
)
converters_path = self.converters_path_attr or ""
display_path = self.display_path_attr or ""
datatype_elems = "".join(galaxy.util.xml_to_string(elem) for elem in self.datatype_elems)
sniffer_elems = "".join(galaxy.util.xml_to_string(elem) for elem in self.sniffer_elems)
self._registry_xml_string = registry_string_template.substitute(
converters_path=converters_path,
display_path=display_path,
datatype_elems=datatype_elems,
sniffer_elems=sniffer_elems,
)
with open(os.path.abspath(path), "w") as registry_xml:
os.chmod(path, RW_R__R__)
registry_xml.write(self._registry_xml_string)
[docs] def get_extension(self, elem):
"""
Function which returns the extension lowercased
:param elem:
:return extension:
"""
extension = elem.get("extension", None)
# If extension is not None and is uppercase or mixed case, we need to lowercase it
if extension is not None and not extension.islower():
self.log.debug(
"%s is not lower case, that could cause troubles in the future. \
Please change it to lower case"
% extension
)
extension = extension.lower()
return extension
def __getstate__(self):
state = self.__dict__.copy()
# Don't pickle xml elements
unpickleable_attributes = [
"converter_tools",
"datatype_converters",
"datatype_elems",
"display_app_containers",
"display_applications",
"inherit_display_application_by_class",
"set_external_metadata_tool",
"sniffer_elems",
]
for unpicklable in unpickleable_attributes:
state[unpicklable] = []
return state
[docs]def example_datatype_registry_for_sample(sniff_compressed_dynamic_datatypes_default=True):
galaxy_dir = galaxy.util.galaxy_directory()
sample_conf = os.path.join(galaxy_dir, "lib", "galaxy", "config", "sample", "datatypes_conf.xml.sample")
config = Bunch(sniff_compressed_dynamic_datatypes_default=sniff_compressed_dynamic_datatypes_default)
datatypes_registry = Registry(config)
datatypes_registry.load_datatypes(root_dir=galaxy_dir, config=sample_conf)
return datatypes_registry