def evaluate(dataset_id):
"""Endpoint for submitting dataset for evaluation."""
ds = get_dataset(dataset_id)
if not ds["public"]:
flash.warn("Can't add private datasets into evaluation queue.")
return redirect(url_for(".eval_info", dataset_id=dataset_id))
if db.dataset_eval.job_exists(dataset_id):
flash.warn("Evaluation job for this dataset has been already created.")
return redirect(url_for(".eval_info", dataset_id=dataset_id))
form = forms.DatasetEvaluationForm()
if form.validate_on_submit():
try:
if form.filter_type.data == forms.DATASET_EVAL_NO_FILTER:
form.filter_type.data = None
db.dataset_eval.evaluate_dataset(
dataset_id=ds["id"],
normalize=form.normalize.data,
eval_location=form.evaluation_location.data,
filter_type=form.filter_type.data,
)
flash.info("Dataset %s has been added into evaluation queue." %
ds["id"])
except db.dataset_eval.IncompleteDatasetException as e:
flash.error(
"Cannot add this dataset because of a validation error: %s" %
e)
except db.dataset_eval.JobExistsException:
flash.warn(
"An evaluation job for this dataset has been already created.")
return redirect(url_for(".eval_info", dataset_id=dataset_id))
return render_template("datasets/evaluate.html", dataset=ds, form=form)
def evaluate(dataset_id):
"""Endpoint for submitting dataset for evaluation."""
ds = get_dataset(dataset_id)
if not ds["public"]:
flash.warn("Can't add private datasets into evaluation queue.")
return redirect(url_for(".eval_info", dataset_id=dataset_id))
if db.dataset_eval.job_exists(dataset_id):
flash.warn("Evaluation job for this dataset has been already created.")
return redirect(url_for(".eval_info", dataset_id=dataset_id))
form = forms.DatasetEvaluationForm()
if form.validate_on_submit():
try:
if form.filter_type.data == forms.DATASET_EVAL_NO_FILTER:
form.filter_type.data = None
db.dataset_eval.evaluate_dataset(
dataset_id=ds["id"],
normalize=form.normalize.data,
filter_type=form.filter_type.data,
)
flash.info("Dataset %s has been added into evaluation queue." % ds["id"])
except db.dataset_eval.IncompleteDatasetException:
# TODO(roman): Show more informative error message.
flash.error("Can't add this dataset into evaluation queue because it's incomplete.")
except db.dataset_eval.JobExistsException:
flash.warn("Evaluation job for this dataset has been already created.")
return redirect(url_for(".eval_info", dataset_id=dataset_id))
return render_template("datasets/evaluate.html", dataset=ds, form=form)
def evaluate(dataset_id):
"""Endpoint for submitting dataset for evaluation."""
ds = get_dataset(dataset_id)
if not ds["public"]:
flash.warn("Can't add private datasets into evaluation queue.")
return redirect(url_for(".eval_info", dataset_id=dataset_id))
if db.dataset_eval.job_exists(dataset_id):
flash.warn(
"An evaluation job for this dataset has been already created.")
return redirect(url_for(".eval_info", dataset_id=dataset_id))
# Validate dataset structure before choosing evaluation preferences
try:
db.dataset_eval.validate_dataset_structure(ds)
except db.dataset_eval.IncompleteDatasetException as e:
flash.error(
"Cannot add this dataset because of a validation error: %s" % e)
return redirect(url_for("datasets.view", dataset_id=dataset_id))
form = forms.DatasetEvaluationForm()
if form.validate_on_submit():
try:
if form.filter_type.data == forms.DATASET_EVAL_NO_FILTER:
form.filter_type.data = None
c_values = None
gamma_values = None
preprocessing_values = None
if form.svm_filtering.data:
c_values = [int(i) for i in form.c_value.data.split(",")]
gamma_values = [
int(i) for i in form.gamma_value.data.split(",")
]
preprocessing_values = form.preprocessing_values.data
db.dataset_eval.evaluate_dataset(
dataset_id=ds["id"],
normalize=form.normalize.data,
eval_location=form.evaluation_location.data,
c_values=c_values,
gamma_values=gamma_values,
preprocessing_values=preprocessing_values,
filter_type=form.filter_type.data,
)
flash.info("Dataset %s has been added into evaluation queue." %
ds["id"])
except db.dataset_eval.IncompleteDatasetException as e:
flash.error(
"Cannot add this dataset because of a validation error: %s" %
e)
except db.dataset_eval.JobExistsException:
flash.warn(
"An evaluation job for this dataset has been already created.")
return redirect(url_for(".eval_info", dataset_id=dataset_id))
return render_template("datasets/evaluate.html", dataset=ds, form=form)
def musicbrainz_post():
"""Callback endpoint."""
if provider.validate_post_login():
login_user(provider.get_user())
next = session.get('next')
if next:
return redirect(next)
else:
flash.error("Login failed.")
return redirect(url_for('index.index'))
def add(self):
form = forms.AddAdminForm()
if form.validate_on_submit():
try:
db.user.set_admin(form.musicbrainz_id.data,
admin=True,
force=form.force.data)
flash.success("Added an admin: %s." % form.musicbrainz_id.data)
except db.exceptions.DatabaseException as e:
flash.error("Error: %s" % e)
return redirect(url_for(".add"))
return redirect(url_for(".index"))
return self.render("admin/admins/add.html", form=form)
def add(self):
form = forms.AddAdminForm()
if form.validate_on_submit():
try:
db.user.set_admin(form.musicbrainz_id.data,
admin=True,
force=form.force.data)
flash.success("Added an admin: %s." % form.musicbrainz_id.data)
except db.exceptions.DatabaseException as e:
flash.error("Error: %s" % e)
return redirect(url_for(".add"))
return redirect(url_for(".index"))
return self.render("admin/admins/add.html", form=form)
def evaluate(dataset_id):
ds = get_dataset(dataset_id)
if not ds["public"]:
flash.warn("Can't add private datasets into evaluation queue.")
else:
try:
db.dataset_eval.evaluate_dataset(ds["id"])
flash.info("Dataset %s has been added into evaluation queue." % ds["id"])
except db.dataset_eval.IncompleteDatasetException:
# TODO(roman): Show more informative error message.
flash.error("Can't add dataset into evaluation queue because it's incomplete.")
except db.dataset_eval.JobExistsException:
flash.warn("Evaluation job for this dataset has been already created.")
return redirect(url_for(".eval_info", dataset_id=dataset_id))
def gdpr_notice():
if request.method == 'GET':
return render_template('index/gdpr.html', next=request.args.get('next'))
elif request.method == 'POST':
if request.form.get('gdpr-options') == 'agree':
try:
db_user.agree_to_gdpr(current_user.musicbrainz_id)
except db.exceptions.DatabaseException:
flash.error('Could not store agreement to GDPR terms')
next = request.form.get('next')
if next:
return redirect(next)
return redirect(url_for('index.index'))
elif request.form.get('gdpr-options') == 'disagree':
return redirect(url_for('login.logout', next=request.args.get('next')))
else:
flash.error('You must agree to or decline our terms')
return render_template('index/gdpr.html', next=request.args.get('next'))
def evaluate(dataset_id):
ds = get_dataset(dataset_id)
if not ds["public"]:
flash.warn("Can't add private datasets into evaluation queue.")
else:
try:
db.dataset_eval.evaluate_dataset(ds["id"])
flash.info("Dataset %s has been added into evaluation queue." %
ds["id"])
except db.dataset_eval.IncompleteDatasetException:
# TODO(roman): Show more informative error message.
flash.error(
"Can't add dataset into evaluation queue because it's incomplete."
)
except db.dataset_eval.JobExistsException:
flash.warn(
"Evaluation job for this dataset has been already created.")
return redirect(url_for(".eval_info", dataset_id=dataset_id))
def download_dataset(dataset_id):
"""Download the full contents of a dataset, including lowlevel files.
The dataset is given as a zip file.
If the number of items in a dataset is more than config.DATASET_DOWNLOAD_RECORDINGS_LIMIT
then redirect back to the dataset page and don't download it.
"""
if current_app.config["DATASET_DOWNLOAD_RECORDINGS_LIMIT"] <= 0:
flash.error("Downloading complete dataset is disabled")
return redirect(url_for(".view", dataset_id=dataset_id))
ds = get_dataset(dataset_id)
if ds["num_recordings"] > current_app.config["DATASET_DOWNLOAD_RECORDINGS_LIMIT"]:
flash.error("Downloading complete dataset is disabled for datasets with "
"more than %d recordings." % current_app.config["DATASET_DOWNLOAD_RECORDINGS_LIMIT"])
return redirect(url_for(".view", dataset_id=dataset_id))
dataset_name = slugify(ds["name"])
zip_file = generate_zip_from_dataset(ds)
return send_file(zip_file,
as_attachment=True,
attachment_filename="acousticbrainz-dataset-{}-{}.zip".format(dataset_id, dataset_name))
def gdpr_notice():
if request.method == 'GET':
return render_template('index/gdpr.html',
next=request.args.get('next'))
elif request.method == 'POST':
if request.form.get('gdpr-options') == 'agree':
try:
db_user.agree_to_gdpr(current_user.musicbrainz_id)
except db.exceptions.DatabaseException:
flash.error('Could not store agreement to GDPR terms')
next = request.form.get('next')
if next:
return redirect(next)
return redirect(url_for('index.index'))
elif request.form.get('gdpr-options') == 'disagree':
return redirect(
url_for('login.logout', next=request.args.get('next')))
else:
flash.error('You must agree to or decline our terms')
return render_template('index/gdpr.html',
next=request.args.get('next'))
def gdpr_notice():
form = GdprForm()
if form.validate_on_submit():
if form.preference.data == 'agree':
try:
db_user.agree_to_gdpr(current_user.musicbrainz_id)
except db.exceptions.DatabaseException:
flash.error('Could not store agreement to GDPR terms')
next = request.form.get('next')
if next:
return redirect(next)
return redirect(url_for('index.index'))
elif form.preference.data == 'disagree':
return redirect(
url_for('login.logout', next=request.args.get('next')))
else:
flash.error('You must agree to or decline our terms')
return render_template('index/gdpr.html',
form=form,
next=request.args.get('next'))
else:
return render_template('index/gdpr.html',
form=form,
next=request.args.get('next'))
