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Source code for galaxy.tools.actions.upload_common

import ipaddress
import logging
import os
import shlex
import socket
import subprocess
import tempfile
from cgi import FieldStorage
from json import dumps

from six import StringIO
from sqlalchemy.orm import eagerload_all
try:
    from urlparse import urlparse
except ImportError:
    from urllib.parse import urlparse

from galaxy import datatypes, util
from galaxy.exceptions import ObjectInvalid
from galaxy.managers import tags
from galaxy.util import unicodify
from galaxy.util.odict import odict

log = logging.getLogger(__name__)


[docs]def validate_url(url, ip_whitelist): # If it doesn't look like a URL, ignore it. if not (url.lstrip().startswith('http://') or url.lstrip().startswith('https://')): return url # Extract hostname component parsed_url = urlparse(url).netloc # If credentials are in this URL, we need to strip those. if parsed_url.count('@') > 0: # credentials. parsed_url = parsed_url[parsed_url.rindex('@') + 1:] # Percent encoded colons and other characters will not be resolved as such # so we don't have to either. # Sometimes the netloc will contain the port which is not desired, so we # need to extract that. port = None # However, it could ALSO be an IPv6 address they've supplied. if ':' in parsed_url: # IPv6 addresses have colons in them already (it seems like always more than two) if parsed_url.count(':') >= 2: # Since IPv6 already use colons extensively, they wrap it in # brackets when there is a port, e.g. http://[2001:db8:1f70::999:de8:7648:6e8]:100/ # However if it ends with a ']' then there is no port after it and # they've wrapped it in brackets just for fun. if ']' in parsed_url and not parsed_url.endswith(']'): # If this +1 throws a range error, we don't care, their url # shouldn't end with a colon. idx = parsed_url.rindex(':') # We parse as an int and let this fail ungracefully if parsing # fails because we desire to fail closed rather than open. port = int(parsed_url[idx + 1:]) parsed_url = parsed_url[:idx] else: # Plain ipv6 without port pass else: # This should finally be ipv4 with port. It cannot be IPv6 as that # was caught by earlier cases, and it cannot be due to credentials. idx = parsed_url.rindex(':') port = int(parsed_url[idx + 1:]) parsed_url = parsed_url[:idx] # safe to log out, no credentials/request path, just an IP + port log.debug("parsed url, port: %s : %s", parsed_url, port) # Call getaddrinfo to resolve hostname into tuples containing IPs. addrinfo = socket.getaddrinfo(parsed_url, port) # Get the IP addresses that this entry resolves to (uniquely) # We drop: # AF_* family: It will resolve to AF_INET or AF_INET6, getaddrinfo(3) doesn't even mention AF_UNIX, # socktype: We don't care if a stream/dgram/raw protocol # protocol: we don't care if it is tcp or udp. addrinfo_results = set([info[4][0] for info in addrinfo]) # There may be multiple (e.g. IPv4 + IPv6 or DNS round robin). Any one of these # could resolve to a local addresses (and could be returned by chance), # therefore we must check them all. for raw_ip in addrinfo_results: # Convert to an IP object so we can tell if it is in private space. ip = ipaddress.ip_address(unicodify(raw_ip)) # If this is a private address if ip.is_private: results = [] # If this IP is not anywhere in the whitelist for whitelisted in ip_whitelist: # If it's an IP address range (rather than a single one...) if hasattr(whitelisted, 'subnets'): results.append(ip in whitelisted) else: results.append(ip == whitelisted) if any(results): # If we had any True, then THIS (and ONLY THIS) IP address that # that specific DNS entry resolved to is in whitelisted and # safe to access. But we cannot exit here, we must ensure that # all IPs that that DNS entry resolves to are likewise safe. pass else: # Otherwise, we deny access. raise Exception("Access to this address in not permitted by server configuration") return url
[docs]def persist_uploads(params, trans): """ Turn any uploads in the submitted form to persisted files. """ if 'files' in params: new_files = [] for upload_dataset in params['files']: f = upload_dataset['file_data'] if isinstance(f, FieldStorage): assert not isinstance(f.file, StringIO) assert f.file.name != '<fdopen>' local_filename = util.mkstemp_ln(f.file.name, 'upload_file_data_') f.file.close() upload_dataset['file_data'] = dict(filename=f.filename, local_filename=local_filename) elif type(f) == dict and 'local_filename' not in f: raise Exception('Uploaded file was encoded in a way not understood by Galaxy.') if upload_dataset['url_paste'] and upload_dataset['url_paste'].strip() != '': upload_dataset['url_paste'], is_multi_byte = datatypes.sniff.stream_to_file( StringIO(validate_url(upload_dataset['url_paste'], trans.app.config.fetch_url_whitelist_ips)), prefix="strio_url_paste_" ) else: upload_dataset['url_paste'] = None new_files.append(upload_dataset) params['files'] = new_files return params
[docs]def handle_library_params(trans, params, folder_id, replace_dataset=None): # FIXME: the received params has already been parsed by util.Params() by the time it reaches here, # so no complex objects remain. This is not good because it does not allow for those objects to be # manipulated here. The received params should be the original kwd from the initial request. library_bunch = util.bunch.Bunch() library_bunch.replace_dataset = replace_dataset library_bunch.message = params.get('ldda_message', '') # See if we have any template field contents library_bunch.template_field_contents = {} template_id = params.get('template_id', None) library_bunch.folder = trans.sa_session.query(trans.app.model.LibraryFolder).get(trans.security.decode_id(folder_id)) # We are inheriting the folder's info_association, so we may have received inherited contents or we may have redirected # here after the user entered template contents ( due to errors ). if template_id not in [None, 'None']: library_bunch.template = trans.sa_session.query(trans.app.model.FormDefinition).get(template_id) for field in library_bunch.template.fields: field_name = field['name'] if params.get(field_name, False): field_value = util.restore_text(params.get(field_name, '')) library_bunch.template_field_contents[field_name] = field_value else: library_bunch.template = None library_bunch.roles = [] for role_id in util.listify(params.get('roles', [])): role = trans.sa_session.query(trans.app.model.Role).get(role_id) library_bunch.roles.append(role) return library_bunch
[docs]def get_precreated_datasets(trans, params, data_obj, controller='root'): """ Get any precreated datasets (when using asynchronous uploads). """ rval = [] async_datasets = [] if params.get('async_datasets', None) not in ["None", "", None]: async_datasets = params['async_datasets'].split(',') current_user_roles = trans.get_current_user_roles() for id in async_datasets: try: data = trans.sa_session.query(data_obj).get(int(id)) except: log.exception('Unable to load precreated dataset (%s) sent in upload form' % id) continue if data_obj is trans.app.model.HistoryDatasetAssociation: if trans.user is None and trans.galaxy_session.current_history != data.history: log.error('Got a precreated dataset (%s) but it does not belong to anonymous user\'s current session (%s)' % (data.id, trans.galaxy_session.id)) elif data.history.user != trans.user: log.error('Got a precreated dataset (%s) but it does not belong to current user (%s)' % (data.id, trans.user.id)) else: rval.append(data) elif data_obj is trans.app.model.LibraryDatasetDatasetAssociation: if controller == 'library' and not trans.app.security_agent.can_add_library_item(current_user_roles, data.library_dataset.folder): log.error('Got a precreated dataset (%s) but this user (%s) is not allowed to write to it' % (data.id, trans.user.id)) else: rval.append(data) return rval
[docs]def get_precreated_dataset(precreated_datasets, name): """ Return a dataset matching a name from the list of precreated (via async upload) datasets. If there's more than one upload with the exact same name, we need to pop one (the first) so it isn't chosen next time. """ names = [d.name for d in precreated_datasets] if names.count(name) > 0: return precreated_datasets.pop(names.index(name)) else: return None
[docs]def cleanup_unused_precreated_datasets(precreated_datasets): for data in precreated_datasets: log.info('Cleaned up unclaimed precreated dataset (%s).' % (data.id)) data.state = data.states.ERROR data.info = 'No file contents were available.'
def __new_history_upload(trans, uploaded_dataset, history=None, state=None): if not history: history = trans.history hda = trans.app.model.HistoryDatasetAssociation(name=uploaded_dataset.name, extension=uploaded_dataset.file_type, dbkey=uploaded_dataset.dbkey, history=history, create_dataset=True, sa_session=trans.sa_session) if state: hda.state = state else: hda.state = hda.states.QUEUED trans.sa_session.add(hda) trans.sa_session.flush() history.add_dataset(hda, genome_build=uploaded_dataset.dbkey) permissions = trans.app.security_agent.history_get_default_permissions(history) trans.app.security_agent.set_all_dataset_permissions(hda.dataset, permissions) trans.sa_session.flush() return hda def __new_library_upload(trans, cntrller, uploaded_dataset, library_bunch, state=None): current_user_roles = trans.get_current_user_roles() if not ((trans.user_is_admin() and cntrller in ['library_admin', 'api']) or trans.app.security_agent.can_add_library_item(current_user_roles, library_bunch.folder)): # This doesn't have to be pretty - the only time this should happen is if someone's being malicious. raise Exception("User is not authorized to add datasets to this library.") folder = library_bunch.folder if uploaded_dataset.get('in_folder', False): # Create subfolders if desired for name in uploaded_dataset.in_folder.split(os.path.sep): trans.sa_session.refresh(folder) matches = [x for x in active_folders(trans, folder) if x.name == name] if matches: folder = matches[0] else: new_folder = trans.app.model.LibraryFolder(name=name, description='Automatically created by upload tool') new_folder.genome_build = trans.app.genome_builds.default_value folder.add_folder(new_folder) trans.sa_session.add(new_folder) trans.sa_session.flush() trans.app.security_agent.copy_library_permissions(trans, folder, new_folder) folder = new_folder if library_bunch.replace_dataset: ld = library_bunch.replace_dataset else: ld = trans.app.model.LibraryDataset(folder=folder, name=uploaded_dataset.name) trans.sa_session.add(ld) trans.sa_session.flush() trans.app.security_agent.copy_library_permissions(trans, folder, ld) ldda = trans.app.model.LibraryDatasetDatasetAssociation(name=uploaded_dataset.name, extension=uploaded_dataset.file_type, dbkey=uploaded_dataset.dbkey, library_dataset=ld, user=trans.user, create_dataset=True, sa_session=trans.sa_session) if uploaded_dataset.get('tag_using_filenames', False): tag_from_filename = os.path.splitext(os.path.basename(uploaded_dataset.name))[0] tag_manager = tags.GalaxyTagManager(trans.sa_session) tag_manager.apply_item_tag(item=ldda, user=trans.user, name='name', value=tag_from_filename) trans.sa_session.add(ldda) if state: ldda.state = state else: ldda.state = ldda.states.QUEUED ldda.message = library_bunch.message trans.sa_session.flush() # Permissions must be the same on the LibraryDatasetDatasetAssociation and the associated LibraryDataset trans.app.security_agent.copy_library_permissions(trans, ld, ldda) if library_bunch.replace_dataset: # Copy the Dataset level permissions from replace_dataset to the new LibraryDatasetDatasetAssociation.dataset trans.app.security_agent.copy_dataset_permissions(library_bunch.replace_dataset.library_dataset_dataset_association.dataset, ldda.dataset) else: # Copy the current user's DefaultUserPermissions to the new LibraryDatasetDatasetAssociation.dataset trans.app.security_agent.set_all_dataset_permissions(ldda.dataset, trans.app.security_agent.user_get_default_permissions(trans.user)) folder.add_library_dataset(ld, genome_build=uploaded_dataset.dbkey) trans.sa_session.add(folder) trans.sa_session.flush() ld.library_dataset_dataset_association_id = ldda.id trans.sa_session.add(ld) trans.sa_session.flush() # Handle template included in the upload form, if any. If the upload is not asynchronous ( e.g., URL paste ), # then the template and contents will be included in the library_bunch at this point. If the upload is # asynchronous ( e.g., uploading a file ), then the template and contents will be included in the library_bunch # in the get_uploaded_datasets() method below. if library_bunch.template and library_bunch.template_field_contents: # Since information templates are inherited, the template fields can be displayed on the upload form. # If the user has added field contents, we'll need to create a new form_values and info_association # for the new library_dataset_dataset_association object. # Create a new FormValues object, using the template we previously retrieved form_values = trans.app.model.FormValues(library_bunch.template, library_bunch.template_field_contents) trans.sa_session.add(form_values) trans.sa_session.flush() # Create a new info_association between the current ldda and form_values # TODO: Currently info_associations at the ldda level are not inheritable to the associated LibraryDataset, # we need to figure out if this is optimal info_association = trans.app.model.LibraryDatasetDatasetInfoAssociation(ldda, library_bunch.template, form_values) trans.sa_session.add(info_association) trans.sa_session.flush() # If roles were selected upon upload, restrict access to the Dataset to those roles if library_bunch.roles: for role in library_bunch.roles: dp = trans.app.model.DatasetPermissions(trans.app.security_agent.permitted_actions.DATASET_ACCESS.action, ldda.dataset, role) trans.sa_session.add(dp) trans.sa_session.flush() return ldda
[docs]def new_upload(trans, cntrller, uploaded_dataset, library_bunch=None, history=None, state=None): if library_bunch: return __new_library_upload(trans, cntrller, uploaded_dataset, library_bunch, state) else: return __new_history_upload(trans, uploaded_dataset, history=history, state=state)
[docs]def get_uploaded_datasets(trans, cntrller, params, precreated_datasets, dataset_upload_inputs, library_bunch=None, history=None): uploaded_datasets = [] for dataset_upload_input in dataset_upload_inputs: uploaded_datasets.extend(dataset_upload_input.get_uploaded_datasets(trans, params)) for uploaded_dataset in uploaded_datasets: data = get_precreated_dataset(precreated_datasets, uploaded_dataset.name) if not data: data = new_upload(trans, cntrller, uploaded_dataset, library_bunch=library_bunch, history=history) else: data.extension = uploaded_dataset.file_type data.dbkey = uploaded_dataset.dbkey data.uuid = uploaded_dataset.uuid trans.sa_session.add(data) trans.sa_session.flush() if library_bunch: library_bunch.folder.genome_build = uploaded_dataset.dbkey trans.sa_session.add(library_bunch.folder) # Handle template included in the upload form, if any. If the upload is asynchronous ( e.g., file upload ), # then the template and contents will be included in the library_bunch at this point. If the upload is # not asynchronous ( e.g., URL paste ), then the template and contents will be included in the library_bunch # in the new_library_upload() method above. if library_bunch.template and library_bunch.template_field_contents: # Since information templates are inherited, the template fields can be displayed on the upload form. # If the user has added field contents, we'll need to create a new form_values and info_association # for the new library_dataset_dataset_association object. # Create a new FormValues object, using the template we previously retrieved form_values = trans.app.model.FormValues(library_bunch.template, library_bunch.template_field_contents) trans.sa_session.add(form_values) trans.sa_session.flush() # Create a new info_association between the current ldda and form_values # TODO: Currently info_associations at the ldda level are not inheritable to the associated LibraryDataset, # we need to figure out if this is optimal info_association = trans.app.model.LibraryDatasetDatasetInfoAssociation(data, library_bunch.template, form_values) trans.sa_session.add(info_association) trans.sa_session.flush() else: if not history: history = trans.history history.genome_build = uploaded_dataset.dbkey uploaded_dataset.data = data return uploaded_datasets
[docs]def create_paramfile(trans, uploaded_datasets): """ Create the upload tool's JSON "param" file. """ def _chown(path): try: # get username from email/username pwent = trans.user.system_user_pwent(trans.app.config.real_system_username) cmd = shlex.split(trans.app.config.external_chown_script) cmd.extend([path, pwent[0], str(pwent[3])]) log.debug('Changing ownership of %s with: %s' % (path, ' '.join(cmd))) p = subprocess.Popen(cmd, shell=False, stdout=subprocess.PIPE, stderr=subprocess.PIPE) stdout, stderr = p.communicate() assert p.returncode == 0, stderr except Exception as e: log.warning('Changing ownership of uploaded file %s failed: %s' % (path, str(e))) # TODO: json_file should go in the working directory json_file = tempfile.mkstemp() json_file_path = json_file[1] json_file = os.fdopen(json_file[0], 'w') for uploaded_dataset in uploaded_datasets: data = uploaded_dataset.data if uploaded_dataset.type == 'composite': # we need to init metadata before the job is dispatched data.init_meta() for meta_name, meta_value in uploaded_dataset.metadata.items(): setattr(data.metadata, meta_name, meta_value) trans.sa_session.add(data) trans.sa_session.flush() json = dict(file_type=uploaded_dataset.file_type, dataset_id=data.dataset.id, dbkey=uploaded_dataset.dbkey, type=uploaded_dataset.type, metadata=uploaded_dataset.metadata, primary_file=uploaded_dataset.primary_file, composite_file_paths=uploaded_dataset.composite_files, composite_files=dict((k, v.__dict__) for k, v in data.datatype.get_composite_files(data).items())) else: try: is_binary = uploaded_dataset.datatype.is_binary except Exception: is_binary = None try: link_data_only = uploaded_dataset.link_data_only except Exception: link_data_only = 'copy_files' try: uuid_str = uploaded_dataset.uuid except Exception: uuid_str = None try: purge_source = uploaded_dataset.purge_source except Exception: purge_source = True try: user_ftp_dir = os.path.abspath(trans.user_ftp_dir) except Exception: user_ftp_dir = None if user_ftp_dir and uploaded_dataset.path.startswith(user_ftp_dir): uploaded_dataset.type = 'ftp_import' json = dict(file_type=uploaded_dataset.file_type, ext=uploaded_dataset.ext, name=uploaded_dataset.name, dataset_id=data.dataset.id, dbkey=uploaded_dataset.dbkey, type=uploaded_dataset.type, is_binary=is_binary, link_data_only=link_data_only, uuid=uuid_str, to_posix_lines=getattr(uploaded_dataset, "to_posix_lines", True), auto_decompress=getattr(uploaded_dataset, "auto_decompress", True), purge_source=purge_source, space_to_tab=uploaded_dataset.space_to_tab, in_place=trans.app.config.external_chown_script is None, check_content=trans.app.config.check_upload_content, path=uploaded_dataset.path) # TODO: This will have to change when we start bundling inputs. # Also, in_place above causes the file to be left behind since the # user cannot remove it unless the parent directory is writable. if link_data_only == 'copy_files' and trans.app.config.external_chown_script: _chown(uploaded_dataset.path) json_file.write(dumps(json) + '\n') json_file.close() if trans.app.config.external_chown_script: _chown(json_file_path) return json_file_path
[docs]def create_job(trans, params, tool, json_file_path, data_list, folder=None, history=None, job_params=None): """ Create the upload job. """ job = trans.app.model.Job() galaxy_session = trans.get_galaxy_session() if type(galaxy_session) == trans.model.GalaxySession: job.session_id = galaxy_session.id if trans.user is not None: job.user_id = trans.user.id if folder: job.library_folder_id = folder.id else: if not history: history = trans.history job.history_id = history.id job.tool_id = tool.id job.tool_version = tool.version job.set_state(job.states.UPLOAD) trans.sa_session.add(job) trans.sa_session.flush() log.info('tool %s created job id %d' % (tool.id, job.id)) trans.log_event('created job id %d' % job.id, tool_id=tool.id) for name, value in tool.params_to_strings(params, trans.app).items(): job.add_parameter(name, value) job.add_parameter('paramfile', dumps(json_file_path)) object_store_id = None for i, dataset in enumerate(data_list): if folder: job.add_output_library_dataset('output%i' % i, dataset) else: job.add_output_dataset('output%i' % i, dataset) # Create an empty file immediately if not dataset.dataset.external_filename: dataset.dataset.object_store_id = object_store_id try: trans.app.object_store.create(dataset.dataset) except ObjectInvalid: raise Exception('Unable to create output dataset: object store is full') object_store_id = dataset.dataset.object_store_id trans.sa_session.add(dataset) # open( dataset.file_name, "w" ).close() job.object_store_id = object_store_id job.set_state(job.states.NEW) job.set_handler(tool.get_job_handler(None)) if job_params: for name, value in job_params.items(): job.add_parameter(name, value) trans.sa_session.add(job) trans.sa_session.flush() # Queue the job for execution trans.app.job_queue.put(job.id, job.tool_id) trans.log_event("Added job to the job queue, id: %s" % str(job.id), tool_id=job.tool_id) output = odict() for i, v in enumerate(data_list): output['output%i' % i] = v return job, output
[docs]def active_folders(trans, folder): # Stolen from galaxy.web.controllers.library_common (importing from which causes a circular issues). # Much faster way of retrieving all active sub-folders within a given folder than the # performance of the mapper. This query also eagerloads the permissions on each folder. return trans.sa_session.query(trans.app.model.LibraryFolder) \ .filter_by(parent=folder, deleted=False) \ .options(eagerload_all("actions")) \ .order_by(trans.app.model.LibraryFolder.table.c.name) \ .all()