def move_files():
if not g.has_native_client:
return jsonify(status="failure", reason="method not allowed")
destination = request.values.get("destination")
if destination is None:
return jsonify(status="failure", reason="no destination specified")
if not os.path.exists(destination):
return jsonify(status="failure", reason="destination does not exist")
filenames = request.values.getlist("filenames[]")
good_names = []
for name in filenames:
path = resolve_file_name(name)
if os.path.exists(path):
good_names.append(path)
else:
g.add_message("Could not locate file %r" % (str(name), ))
for file_path in good_names:
file_dest = (os.path.join(destination, os.path.basename(file_path)))
if os.path.exists(file_dest):
shutil.rmtree(file_dest, True)
try:
shutil.move((file_path), file_dest)
except shutil.Error as err:
jsonify(status='failure', reason=str(err))
return jsonify(status="success", reason=None)
def export_glycan_composition_hypothesis_as_text(uuid):
hypothesis = get_glycan_hypothesis(uuid)
entity_iterable = hypothesis.glycans
g.add_message(Message("Building Export", "update"))
file_name = "%s-glycan-compositions.txt" % (hypothesis.name)
path = safepath(g.manager.get_temp_path(file_name))
with open(path, 'wb') as handle:
ImportableGlycanHypothesisCSVSerializer(handle, entity_iterable).start()
file_names = [(file_name)]
return jsonify(status='success', filenames=file_names)
def _export_csv(sample_run_uuid):
view = get_view(sample_run_uuid)
with view:
g.add_message(Message("Building Chromatogram CSV Export", "update"))
file_name = "%s-chromatograms.csv" % (view.record.name)
path = safepath(g.manager.get_temp_path(file_name))
SimpleChromatogramCSVSerializer(open(path, 'wb'),
view.chromatograms).start()
return [file_name]
def _export_csv(analysis_uuid):
view = get_view(analysis_uuid)
with view:
g.add_message(Message("Building CSV Export", "update"))
snapshot = view.get_items_for_display()
with snapshot.bind(view.session):
file_name = "%s-glycan-chromatograms.csv" % (view.analysis.name)
path = g.manager.get_temp_path(file_name)
GlycanLCMSAnalysisCSVSerializer(open(path, 'wb'), (
c.convert()
for c in (list(snapshot.glycan_chromatograms) +
list(snapshot.unidentified_chromatograms)))).start()
return [file_name]
def add_modification():
name = request.values.get("new-modification-name")
formula = request.values.get("new-modification-formula")
target = request.values.get("new-modification-target")
if name is None or name == "":
g.add_message("Modification Name Cannot Be Empty")
return abort(400)
try:
composition = Composition(str(formula))
except ChemicalCompositionError:
g.add_message("Invalid Formula")
return abort(400)
try:
target = extract_targets_from_string(target)
except Exception:
g.add_message("Invalid Target Specification")
return abort(400)
rule = ModificationRule(target, name, None, composition.mass, composition)
try:
add_user_peptide_modification_rule(rule)
except Exception:
g.add_message("Failed to save modification rule")
return abort(400)
return jsonify(name=rule.name,
formula=formula,
mass=rule.mass,
specificities=list(rule.as_spec_strings()))
def _export_hypothesis(analysis_uuid):
view = get_view(analysis_uuid)
with view:
g.add_message(Message("Building CSV Export", "update"))
snapshot = view.get_items_for_display()
with snapshot.bind(view.session):
file_name = "%s-glycan-compositions.txt" % (view.analysis.name)
path = safepath(g.manager.get_temp_path(file_name))
composition_keys = {c.composition.id: c.composition for c in snapshot.glycan_chromatograms}
compositions = [
view.session.query(GlycanComposition).get(key) for key in composition_keys
]
with open(path, 'wb') as handle:
ImportableGlycanHypothesisCSVSerializer(handle, compositions).start()
return [file_name]
def download_multiple_files():
filenames = request.values.getlist("filenames[]")
good_names = []
for name in filenames:
path = resolve_file_name(name)
if os.path.exists(path):
good_names.append(path)
else:
g.add_message("Could not locate file %r" % (str(name), ))
archive_name = request.values.get("download_name", None)
if archive_name is None:
archive_name = form_cleaners.get_random_string()
archive_name += ".zip"
archive_path = resolve_file_name(archive_name)
with zipfile.ZipFile(archive_path, "w", zipfile.ZIP_DEFLATED,
True) as zip_handle:
for path in good_names:
zip_handle.write(path, os.path.basename(path))
return jsonify(filename=archive_name)
def download_multiple_files():
filenames = request.values.getlist("filenames[]")
good_names = []
for name in filenames:
path = resolve_file_name(name)
if os.path.exists(path):
good_names.append(path)
else:
g.add_message("Could not locate file %r" % (str(name), ))
archive_name = request.values.get("download_name", None)
if archive_name is None:
archive_name = form_cleaners.get_random_string()
archive_name += ".zip"
archive_path = resolve_file_name(archive_name)
with zipfile.ZipFile(archive_path, "w", zipfile.ZIP_DEFLATED,
True) as zip_handle:
for path in good_names:
if os.path.isfile(path):
zip_handle.write((path), os.path.basename(path))
elif os.path.isdir(path):
base = os.path.basename(path)
zip_handle.write(path, base)
for dirpath, dirnames, filenames in os.walk(path):
for name in sorted(dirnames):
zip_handle.write((os.path.join(dirpath, name)),
os.path.join(base, dirpath, name))
for name in filenames:
try:
zip_handle.write((os.path.join(dirpath, name)),
os.path.join(base, dirpath, name))
except (IOError, OSError):
zip_handle.write(
safepath(os.path.join(dirpath, name)),
os.path.join(base, dirpath, name))
else:
print("Unknown name type", path)
return jsonify(filename=archive_name)
def build_glycan_search_space_process():
data = request.values
custom_reduction_type = data.get("custom-reduction-type")
custom_derivatization_type = data.get("custom-derivatization-type")
has_custom_reduction = custom_reduction_type != ""
has_custom_derivatization = custom_derivatization_type != ""
reduction_type = data.get("reduction-type")
derivatization_type = data.get("derivatization-type")
hypothesis_name = data.get("hypothesis-name")
hypothesis_name = g.manager.make_unique_hypothesis_name(hypothesis_name)
secure_name = secure_filename(hypothesis_name if hypothesis_name is not None else "glycan_database")
storage_path = g.manager.get_hypothesis_path(re.sub(r"[\s\(\)]", "_", secure_name)) + '_glycan_%s.database'
storage_path = make_unique_name(storage_path)
touch_file(storage_path)
if reduction_type in ("", "native"):
reduction_type = None
if derivatization_type in ("", "native"):
derivatization_type = None
try:
reduction_type = validate_reduction(None, reduction_type)
except Exception:
g.manager.add_message(Message("Could not validate reduction type %r" % reduction_type, 'update'))
return Response("Task Not Scheduled")
try:
derivatization_type = validate_derivatization(None, derivatization_type)
except Exception:
g.manager.add_message(Message("Could not validate derivatization type %r" % derivatization_type, 'update'))
return Response("Task Not Scheduled")
selected_method = data.get("selected-method", 'combinatorial')
# Construct the argument set for a BuildCombinatorialGlycanHypothesis Task.
# This involves building a StringIO object buffer which contains the user's
# specified rules.
if selected_method == "combinatorial":
comb_monosaccharide_name = data.getlist('monosaccharide_name')[:-1]
comb_lower_bound = map(intify, data.getlist('monosaccharide_lower_bound')[:-1])
comb_upper_bound = map(intify, data.getlist('monosaccharide_upper_bound')[:-1])
comb_monosaccharide_name, comb_lower_bound, comb_upper_bound = remove_empty_rows(
comb_monosaccharide_name, comb_lower_bound, comb_upper_bound)
constraint_lhs = data.getlist("left_hand_side")[:-1]
constraint_op = data.getlist("operator")[:-1]
constraint_rhs = data.getlist("right_hand_side")[:-1]
constraints = zip(*remove_empty_rows(constraint_lhs, constraint_op, constraint_rhs))
rules = zip(comb_monosaccharide_name, comb_lower_bound, comb_upper_bound)
# File-like object to pass to the task in place of a path to a rules file
rules_buffer = _serialize_rules_to_buffer(rules, constraints, "generated")
task = BuildCombinatorialGlycanHypothesis(
rules_buffer, storage_path,
reduction=custom_reduction_type if has_custom_reduction else reduction_type,
derivatization=custom_derivatization_type if has_custom_derivatization else derivatization_type,
name=hypothesis_name,
callback=lambda: 0, user=g.user
)
g.add_task(task)
# Construct the argument set for a BuildTextFileGlycanHypothesis Task.
elif selected_method == "text-file":
glycan_list_file = request.files["glycan-list-file"]
secure_glycan_list_file = g.manager.get_temp_path(secure_filename(glycan_list_file.filename))
glycan_list_file.save(secure_glycan_list_file)
task = BuildTextFileGlycanHypothesis(
secure_glycan_list_file,
storage_path,
reduction=custom_reduction_type if has_custom_reduction else reduction_type,
derivatization=custom_derivatization_type if has_custom_derivatization else derivatization_type,
name=hypothesis_name,
callback=lambda: 0, user=g.user)
g.add_task(task)
elif selected_method == "pregenerated":
# include_human_n_glycan = data.get("glycomedb-human-n-glycan")
# include_human_o_glycan = data.get("glycomedb-human-o-glycan")
# include_mammalian_n_glycan = data.get("glycomedb-mammlian-n-glycan")
# include_mammalian_o_glycan = data.get("glycomedb-mammlian-o-glycan")
g.manager.add_message(Message("This method is not enabled at this time", 'update'))
return Response("Task Not Scheduled")
# Not yet implemented
elif selected_method == "merge-hypotheses":
id_1 = data.get("merged-hypothesis-1", 0)
id_2 = data.get("merged-hypothesis-2", 0)
if id_1 == 0 or id_2 == 0 or id_1 == id_2:
g.add_message(Message("Two different hypotheses must be selected to merge."))
return Response("Task Not Scheduled")
rec_1 = g.manager.hypothesis_manager.get(id_1)
rec_2 = g.manager.hypothesis_manager.get(id_2)
# g.add_message(Message("Not yet implemented."))
# return Response("Task Not Scheduled")
task = MergeGlycanHypotheses(
g.manager.connection_bridge, [(rec_1.path, rec_1.id), (rec_2.path, rec_2.id)], name=hypothesis_name,
callback=lambda: 0, user=g.user)
g.add_task(task)
else:
g.add_message(Message("This method is not recognized: \"%s\"" % (selected_method,), 'update'))
return Response("Task Not Scheduled")
return Response("Task Scheduled")
