def upload(self, id, max_size=10):
if not self.storage_path:
return
directory = self.get_directory(id)
filepath = self.get_path(id)
if self.filename:
try:
os.makedirs(directory)
except OSError, e:
if e.errno != 17:
raise
tmp_filepath = filepath + '~'
output_file = open(tmp_filepath, 'wb+')
self.upload_file.seek(0)
current_size = 0
while True:
current_size = current_size + 1
data = self.upload_file.read(2**20)
if not data:
break
"""
# formati di file che potrebbero essere malevoli
ckan.black_list.upload_mimetype_blacklist = application/exe application/octet-stream application/x-msdownload application/x-exe application/dos-exe vms/exe application/x-winexe application/msdos-windows application/x-msdos-program application/bin application/binary application/bat application/x-bat application/textedit application/x-sh
"""
mimetype = magic.from_buffer(data, mime=True)
'''Check if the resource mimetype is blacklisted (defined in development.ini)'''
blacklist = config.get(
'ckan.black_list.upload_mimetype_blacklist', '').split()
#print blacklist
#from ckan.lib import helpers
#formati_ammissibili = helpers.resource_formats()
#print formati_ammissibili.keys()
if current_size == 1:
if mimetype in blacklist:
os.remove(tmp_filepath)
raise logic.ValidationError({
'upload': [
'Formato del file >> ' + str(mimetype) +
' << illegale'
]
})
#else:
# print 'Formato del file >> ' + str(mimetype)+' << accettato :-)'
output_file.write(data)
if current_size > max_size:
os.remove(tmp_filepath)
raise logic.ValidationError(
{'upload': ['File upload too large']})
output_file.close()
os.rename(tmp_filepath, filepath)
return
def __privacy_state_for_package_dict(data_dict):
private = data_dict.get('private', None)
capacity = data_dict.get('capacity', None)
def __validate_private_property(property_value):
return str(property_value).lower() in 'true, false'
def __validate_capacity_property(property_value):
return str(
property_value).lower() in 'private, draft, public, published'
if __validate_private_property(private):
if str(private).lower() == 'true':
return DCATAPOP_PRIVATE_DATASET
if str(private).lower() == 'false':
return DCATAPOP_PUBLIC_DATASET
elif private is not None:
raise logic.ValidationError(
"'private' property can only be 'true' or 'false': '{0}' is not supported"
.format(private))
else:
if __validate_capacity_property(capacity):
if capacity.lower() in 'private, draft':
return DCATAPOP_PRIVATE_DATASET
if capacity.lower() in 'public, published':
return DCATAPOP_PUBLIC_DATASET
elif capacity is not None:
raise logic.ValidationError(
"'capacity' property can only be 'private', 'draft', 'public' or 'published': '{0}' is not supported"
.format(capacity))
return DCATAPOP_PUBLIC_DATASET
def comment_update(context, data_dict):
model = context['model']
logic.check_access("comment_update", context, data_dict)
cid = logic.get_or_bust(data_dict, 'id')
comment = comment_model.Comment.get(cid)
if not comment:
abort(404)
# Validate that we have the required fields.
if not all([data_dict.get('comment')]):
raise logic.ValidationError("Comment text is required")
# Cleanup the comment
cleaned_comment = util.clean_input(data_dict.get('comment'))
# Run profanity check
if toolkit.asbool(config.get('ckan.comments.check_for_profanity', False)) \
and (helpers.profanity_check(cleaned_comment) or helpers.profanity_check(data_dict.get('subject', ''))):
raise logic.ValidationError("Comment blocked due to profanity.")
comment.subject = data_dict.get('subject')
comment.comment = cleaned_comment
comment.modified_date = datetime.datetime.utcnow()
comment.flagged = data_dict.get('flagged')
model.Session.add(comment)
model.Session.commit()
return comment.as_dict()
def get_feature_data(data_dict, path):
query = data_dict["query"]
# sanity checks
if query == "feature" and "feature" not in data_dict:
raise logic.ValidationError("Please specify 'feature' parameter!")
feat = data_dict["feature"]
is_scalar = dclab.dfn.scalar_feature_exists(feat)
path_condensed = path.with_name(path.name + "_condensed.rtdc")
if is_scalar and path_condensed.exists():
path = path_condensed
feature_list = get_feature_list(path)
if feat in feature_list:
with dclab.rtdc_dataset.fmt_hdf5.RTDC_HDF5(path) as ds:
if is_scalar:
data = ds[feat].tolist()
else:
if "event" not in data_dict:
raise logic.ValidationError("Please specify 'event' for "
+ f"non-scalar feature {feat}!"
)
if feat == "trace":
data = get_trace_data(data_dict, path)
else:
event = int(data_dict["event"])
data = ds[feat][event].tolist()
elif not dclab.dfn.feature_exists(feat):
raise logic.ValidationError(f"Unknown feature name '{feat}'!")
else:
raise logic.ValidationError(f"Feature '{feat}' unavailable!")
return data
def comment_create(context, data_dict):
model = context['model']
user = context['user']
userobj = model.User.get(user)
logic.check_access("comment_create", context, data_dict)
# Validate that we have the required fields.
if not all([data_dict.get('comment')]):
raise logic.ValidationError("Comment text is required")
thread_id = data_dict.get('thread_id')
if not thread_id:
url = data_dict.get('url')
if url:
thread = comment_model.CommentThread.from_url(url)
thread_id = thread.id if thread else None
if not thread_id:
raise logic.ValidationError("Thread identifier or URL is required")
# Cleanup the comment
cleaned_comment = util.clean_input(data_dict.get('comment'))
# Run profanity check
if toolkit.asbool(config.get('ckan.comments.check_for_profanity', False)) \
and (helpers.profanity_check(cleaned_comment) or helpers.profanity_check(data_dict.get('subject', ''))):
raise logic.ValidationError(
{"message": "Comment blocked due to profanity."})
# Create the object
cmt = comment_model.Comment(thread_id=thread_id, comment=cleaned_comment)
cmt.user_id = userobj.id
cmt.subject = data_dict.get('subject', 'No subject')
if 'creation_date' in context:
cmt.creation_date = datetime.datetime.fromtimestamp(
context['creation_date'])
# Check if there is a parent ID and that it is valid
# TODO, validity in this case includes checking parent is not
# deleted.
prt = data_dict.get('parent_id')
if prt:
parent = comment_model.Comment.get(prt)
if parent:
cmt.parent_id = parent.id
# approval and spam checking removed
model.Session.add(cmt)
model.Session.commit()
return cmt.as_dict()
def comment_create(context, data_dict):
model = context['model']
user = context['user']
userobj = model.User.get(user)
#logic.check_access("comment_create", context, data_dict)
# Valida que se tengan todos los campos requeridos.
if not all([data_dict.get('comment')]):
raise logic.ValidationError("Comment text is required")
thread_id = data_dict.get('thread_id')
if not thread_id:
url = data_dict.get('url')
if url:
thread = comment_model.CommentThread.from_url(url)
thread_id = thread.id if thread else None
if not thread_id:
raise logic.ValidationError("Thread identifier or URL is required")
# Cleanup the comment
cleaned_comment = util.clean_input(data_dict.get('comment'))
# Create the object
cmt = comment_model.Comment(thread_id=thread_id, comment=cleaned_comment)
cmt.user_id = userobj.id if userobj else None
cmt.subject = data_dict.get('subject', 'No subject')
cmt.email = data_dict.get('email', 'No Email')
if 'creation_date' in context:
cmt.creation_date = datetime.datetime.fromtimestamp(
context['creation_date'])
# Check if there is a parent ID and that it is valid
# TODO, validity in this case includes checking parent is not
# deleted.
prt = data_dict.get('parent_id')
if prt:
parent = comment_model.Comment.get(prt)
if parent:
cmt.parent_id = parent.id
# approval and spam checking removed
commentThread = comment_model.CommentThread.get(thread_id)
commentThread.active_thread = 'active'
commentThread.state_thread = 'active'
model.Session.add(commentThread)
model.Session.add(cmt)
model.Session.commit()
return cmt.as_dict()
def resource_filters_create(context, data_dict):
"""Create custom extract filters for a given resource.
:param resource_id: id of the resource that filters should be added to.
:type resource_id: string
:param filters: filters i.e. ['electricity', 'date']
:type filters: list of strings
:returns: the newly created resource
:rtype: dictionary
"""
resource_id = l.get_or_bust(data_dict, 'resource_id')
filters = data_dict.pop('filters')
# Fetch available columns from the datastore and check against filters
ds = l.get_action('datastore_info')(context, {'id': resource_id})
# Loop through datastore schema and validate filters
available_filters = map(lambda val: val.lower(), ds.get('schema').keys())
for _f in filters:
if _f.lower() not in available_filters:
raise l.ValidationError(
_('\'{0}\' filter type not supported. Supported types are: {1}'
.format(_f, available_filters)))
# Check if filter already exist for the given resource
active_filters = l.get_action('active_resource_filters')(
context, {
'resource_id': resource_id
})
for _f in active_filters:
if _f['name'] in filters:
raise l.ValidationError(
_('\'{0}\' already exists for the given resource'.format(_f)))
resource_meta = l.get_action('datastore_search')(context, {
'resource_id': resource_id,
'limit': 1
})
fields = resource_meta['fields']
# Add new filters
payload = {'id': resource_id}
for _f in fields:
if _f['id'] in filters:
active_filters.append({'name': _f['id'], 'type': _f['type']})
payload.update({'filters': json.dumps(active_filters)})
l.get_action('resource_patch')(context, payload)
return l.get_action('resource_show')(context, {'id': resource_id})
def _validate_new_org_request_field(self, data, context):
errors = {}
for field in ['name', 'description', 'description_data', 'work_email', 'your_name', 'your_email']:
if data[field] is None or data[field].strip() == '':
errors[field] = [_('should not be empty')]
if len(errors) > 0:
raise logic.ValidationError(errors)
user_email_validator = tk.get_validator('email_validator')
schema = {'work_email': [user_email_validator, unicode]}
data_dict, _errors = _validate(data, schema, context)
if _errors:
raise logic.ValidationError(_errors.get('work_email'))
def get_last_publish_status(context, data_dict):
"""
Return the French and English values for the given lastpublishstatuscode.
:param lastPublishStatusCode: Publishing Status Code (i.e. '10')
:type lastPublishStatusCode: str
:return: English, French and code values for given lastpublishstatuscode
:rtype: dict
:raises: ValidationError
"""
massage = lambda in_: {
'last_publish_status_code': in_['value'],
'en': in_['label'].get('en'),
'fr': in_['label'].get('fr')
}
publish_status = _get_or_bust(
data_dict,
'lastPublishStatusCode'
).zfill(2)
presets = scheming_helpers.scheming_get_preset('ndm_publish_status')
publish_statuses = presets['choices']
for ps in publish_statuses:
if unicode(ps['value']) == unicode(publish_status):
return massage(ps)
else:
raise logic.ValidationError(
('lastPublishStatusCode: \'{0}\' invalid'.format(publish_status),)
)
def comment_update(context, data_dict):
model = context['model']
#logic.check_access("comment_update", context, data_dict)
cid = logic.get_or_bust(data_dict, 'id')
comment = comment_model.Comment.get(cid)
if not comment:
abort(404)
# Validate that we have the required fields.
if not all([data_dict.get('comment')]):
raise logic.ValidationError("Comment text is required")
# Cleanup the comment
cleaned_comment = util.clean_input(data_dict.get('comment'))
comment.subject = data_dict.get('subject')
comment.email = data_dict.get('email')
comment.comment = cleaned_comment
comment.modified_date = datetime.datetime.now()
model.Session.add(comment)
model.Session.commit()
return comment.as_dict()
def get_format_description(context, data_dict):
# noinspection PyUnresolvedReferences
"""
Return the French and English values for the given formatCode.
:param formatCode: Format Code (i.e. '10')
:type formatCode: str
:return: English, French and code values for given formatCode
:rtype: dict
:raises: ValidationError
"""
massage = lambda in_: {
'format_code': in_['value'],
'en': in_['label'].get('en'),
'fr': in_['label'].get('fr')
}
format_code = _get_or_bust(
data_dict,
'formatCode'
).zfill(2)
preset = scheming_helpers.scheming_get_preset(u'ndm_format')
format_codes = preset['choices']
for fc in format_codes:
if fc['value'] == format_code:
return massage(fc)
else:
raise logic.ValidationError(
('formatCode \'{0}\' invalid'.format(format_code),)
)
def taxonomy_term_show_all(context, data_dict):
"""
Shows a single taxonomy term and its children, the taxonomy id is not
required, just a term_id.
:returns: A single taxonomy term
:rtype: A dictionary
"""
_check_access('taxonomy_term_show', context, data_dict)
label = data_dict.get('label')
taxonomy_id = data_dict.get('taxonomy_id')
if not label:
raise logic.ValidationError("Either id, uri or label is required")
if (taxonomy_id):
term = TaxonomyTerm.get_from_taxonomy(label, taxonomy_id)
else:
term = TaxonomyTerm.get_all(label)
if not term:
raise logic.NotFound()
return [u.as_dict() for u in term]
def sub_theme_delete(context, data_dict):
''' Deletes a sub-theme
:param id: the sub-theme's ID
:type id: string
:returns: OK
:rtype: string
'''
try:
check_access('sub_theme_delete', context, data_dict)
except NotAuthorized:
raise NotAuthorized(
_(u'Need to be system '
u'administrator to administer'))
id = logic.get_or_bust(data_dict, 'id')
questions = Session.query(ResearchQuestion) \
.filter_by(sub_theme=id) \
.count()
if questions:
raise logic.ValidationError(
_('Sub-Theme cannot be deleted while it '
'still has research questions'))
try:
filter = {'id': id}
SubThemes.delete(filter)
except NotFound:
raise NotFound(_(u'Sub-theme'))
return 'OK'
def vocabulary_show_without_package_detail(context, data_dict):
'''Return a single tag vocabulary without package details.
:param id: the id or name of the vocabulary
:type id: string
:return: the vocabulary.
:rtype: dictionary
'''
vocab_id = data_dict.get('id')
if not vocab_id:
raise logic.ValidationError({'id': 'id not in data'})
vocabulary = ckan_model.vocabulary.Vocabulary.get(vocab_id)
if vocabulary is None:
raise NotFound(_('Could not find vocabulary "%s"') % vocab_id)
vocabulary_dict = d.table_dictize(vocabulary, context)
assert not vocabulary_dict.has_key('tags')
vocabulary_dict['tag_count'] = vocabulary.tags.count()
vocabulary_dict['tags'] = [tag_dictize_without_package_detail(tag, context) for tag
in vocabulary.tags]
tags = vocabulary_dict['tags']
tagsorted = sorted(tags, key=lambda k:k['package_count'], reverse=True)
vocabulary_dict['tags'] = tagsorted
return vocabulary_dict
def _check_new_user_quota():
redis_conn = connect_to_redis()
new_users_list = 'new_latest_users'
if 'new_latest_users' not in redis_conn.keys():
redis_conn.lpush(new_users_list, datetime.now().isoformat())
else:
# TODO: read this rom config
max_new_users = 10
period = 60 * 10
begin_date = datetime.now() - timedelta(seconds=period)
count = 0
elements_to_remove = []
for i in range(0, redis_conn.llen(new_users_list)):
value = redis_conn.lindex(new_users_list, i)
new_user_creation_date = dateutil.parser.parse(value)
if new_user_creation_date >= begin_date:
count += 1
else:
elements_to_remove += [value]
for value in elements_to_remove:
redis_conn.lrem(new_users_list, value)
if count >= max_new_users:
log.error("new user temporary quota exceeded ({0})".format(count))
raise logic.ValidationError({
'user':
"******"
.format(period / 60)
})
else:
# add new user creation
redis_conn.lpush(new_users_list, datetime.now().isoformat())
def hdx_qa_sdcmicro_run(context, data_dict):
'''
Add sdc micro flag "running" to resource
Post to aws endpoint to start the sdc micro check
parameters for R script:
-d "idp_settlement|settlement|resp_gender|resp_age|breadwinner|total_hh|person_with_disabilities" -w weights_general -s Feuil1 -f data11.xlsx -t "text|text|text|text|numeric|text|text|text|text|text|numeric|text|numeric"
:param data_dict: dictionary containg parameters
:type data_dict: dict
Parameters from data_dict
:param dataset_id: the id or name of the dataset
:type dataset_id: str
:param resource_id: the id or name of the resource
:type resource_id: str
:param data_columns_list: list with data columns
:param weight_column: the weight column
:param columns_type_list: list with types for each column - text, double, numeric, date
:param sheet: in case of excel/xlsx/xls we need the sheet id (0-n)
:param skip_rows: how many rows to skip until data
:return: True or False or data_dict
:rtype: bool
'''
# resource_patch to mark sdc micro flag in "running" mode
# post to aws endpoint to start the sdc micro (sdc micro will have to mark the flag and upload the result)
_check_access('qa_sdcmicro_run', context, {})
resource_id = data_dict.get("resource_id")
if resource_id:
try:
# resource_dict = get_action("resource_show")(context, {"id": resource_id})
resource_dict = get_action("hdx_qa_resource_patch")(context, {"id": resource_id, "sdc_report_flag": "QUEUED"})
_run_sdcmicro_check(resource_dict, data_dict.get("data_columns_list"), data_dict.get("weight_column"),
data_dict.get("columns_type_list"), data_dict.get("sheet", 0), context)
except Exception, e:
ex_msg = e.message if hasattr(e, 'message') and e.message else str(e)
message = e.error_summary if hasattr(e, 'error_summary') and e.error_summary else 'Something went wrong while processing the request: ' + str(ex_msg)
raise logic.ValidationError({'message': message}, error_summary=message)
def upload(self, id, max_size=10):
if not self.storage_path:
return
directory = self.get_directory(id)
filepath = self.get_path(id)
if self.filename:
try:
os.makedirs(directory)
except OSError, e:
## errno 17 is file already exists
if e.errno != 17:
raise
tmp_filepath = filepath + '~'
output_file = open(tmp_filepath, 'wb+')
self.upload_file.seek(0)
current_size = 0
while True:
current_size = current_size + 1
#MB chunks
data = self.upload_file.read(2**20)
if not data:
break
output_file.write(data)
if current_size > max_size:
os.remove(tmp_filepath)
raise logic.ValidationError(
{'upload': ['File upload too large']})
output_file.close()
os.rename(tmp_filepath, filepath)
def taxonomy_create(context, data_dict):
"""
Creates a new taxonomy. Terms are not created here, they must be
created using taxonomy_term_create with the taxonomy id from this
call.
:param owner_org: the id of the dataset's owning organization, see
:returns: The newly created taxonomy
:rtype: A dictionary.
"""
_check_access('taxonomy_create', context, data_dict)
model = context['model']
name = data_dict.get('name')
title = logic.get_or_bust(data_dict, 'title')
uri = logic.get_or_bust(data_dict, 'uri')
if not name:
name = munge_name(title)
# Check the name has not been used
if model.Session.query(Taxonomy).filter(Taxonomy.name == name).count() > 0:
raise logic.ValidationError("Name is already in use")
t = Taxonomy(name=name, title=title, uri=uri)
model.Session.add(t)
model.Session.commit()
return t.as_dict()
def taxonomy_show(context, data_dict):
""" Shows a single taxonomy.
:param id: The name of id of the taxonomy
:returns: A single taxonomy
:rtype: A dictionary
"""
_check_access('taxonomy_show', context, data_dict)
model = context['model']
id = data_dict.get('id')
uri = data_dict.get('uri')
name = data_dict.get('name')
if not id and not uri and not name:
raise logic.ValidationError("Neither id, name or uri were provided")
item = Taxonomy.get(id or name)
if not item and uri:
item = Taxonomy.by_uri(uri)
if not item:
raise logic.NotFound()
return item.as_dict(with_terms=True)
def taxonomy_term_create(context, data_dict):
""" Allows for the creation of a new taxonomy term.
:returns: The newly updated term
:rtype: A dictionary
"""
_check_access('taxonomy_term_create', context, data_dict)
model = context['model']
taxonomy_id = logic.get_or_bust(data_dict, 'taxonomy_id')
taxonomy = logic.get_action('taxonomy_show')(context, {'id': taxonomy_id})
label = logic.get_or_bust(data_dict, 'label')
uri = logic.get_or_bust(data_dict, 'uri')
description = data_dict.get('description')
if model.Session.query(TaxonomyTerm).\
filter(TaxonomyTerm.uri == uri).\
filter(TaxonomyTerm.taxonomy_id == taxonomy_id ).count() > 0:
raise logic.ValidationError("Term uri already used in this taxonomy")
term = TaxonomyTerm(**data_dict)
model.Session.add(term)
model.Session.commit()
return term.as_dict()
def harvest_object_create(context, data_dict):
""" Create a new harvest object
:type guid: string (optional)
:type content: string (optional)
:type job_id: string
:type source_id: string (optional)
:type package_id: string (optional)
:type extras: dict (optional)
"""
check_access('harvest_object_create', context, data_dict)
data, errors = _validate(data_dict, harvest_object_create_schema(),
context)
if errors:
raise logic.ValidationError(errors)
obj = HarvestObject(guid=data.get('guid'),
content=data.get('content'),
job=data['job_id'],
harvest_source_id=data.get('source_id'),
package_id=data.get('package_id'),
extras=[
HarvestObjectExtra(key=k, value=v)
for k, v in data.get('extras', {}).items()
])
obj.save()
return harvest_object_dictize(obj, context)
def string_to_timedelta(s: str) -> datetime.timedelta:
"""Parse a string s and return a standard datetime.timedelta object.
Handles days, hours, minutes, seconds, and microseconds.
Accepts strings in these formats:
2 days
14 days
4:35:00 (hours, minutes and seconds)
4:35:12.087465 (hours, minutes, seconds and microseconds)
7 days, 3:23:34
7 days, 3:23:34.087465
.087465 (microseconds only)
:raises ckan.logic.ValidationError: if the given string does not match any
of the recognised formats
"""
patterns = []
days_only_pattern = r"(?P<days>\d+)\s+day(s)?"
patterns.append(days_only_pattern)
hms_only_pattern = r"(?P<hours>\d?\d):(?P<minutes>\d\d):(?P<seconds>\d\d)"
patterns.append(hms_only_pattern)
ms_only_pattern = r".(?P<milliseconds>\d\d\d)(?P<microseconds>\d\d\d)"
patterns.append(ms_only_pattern)
hms_and_ms_pattern = hms_only_pattern + ms_only_pattern
patterns.append(hms_and_ms_pattern)
days_and_hms_pattern = r"{0},\s+{1}".format(days_only_pattern,
hms_only_pattern)
patterns.append(days_and_hms_pattern)
days_and_hms_and_ms_pattern = days_and_hms_pattern + ms_only_pattern
patterns.append(days_and_hms_and_ms_pattern)
match = None
for pattern in patterns:
match = re.match("^{0}$".format(pattern), s)
if match:
break
if not match:
raise logic.ValidationError(
{"message": "Not a valid time: {0}".format(s)})
gd = match.groupdict()
days = int(gd.get("days", "0"))
hours = int(gd.get("hours", "0"))
minutes = int(gd.get("minutes", "0"))
seconds = int(gd.get("seconds", "0"))
milliseconds = int(gd.get("milliseconds", "0"))
microseconds = int(gd.get("microseconds", "0"))
delta = datetime.timedelta(
days=days,
hours=hours,
minutes=minutes,
seconds=seconds,
milliseconds=milliseconds,
microseconds=microseconds,
)
return delta
def taxonomy_term_update(context, data_dict):
""" Allows a taxonomy term to be updated.
:returns: The newly updated term
:rtype: A dictionary
"""
_check_access('taxonomy_term_update', context, data_dict)
model = context['model']
id = data_dict.get('id')
uri = data_dict.get('uri')
if not id and not uri:
raise logic.ValidationError("Either id or uri is required")
term = TaxonomyTerm.get(id or uri)
if not term:
raise logic.NotFound()
term.label = data_dict.get('label', term.label)
term.parent_id = data_dict.get('parent_id', term.parent_id)
term.uri = logic.get_or_bust(data_dict, 'uri')
term.description = data_dict.get('description', term.description)
#term.extras = data_dict.get('extras', '')
model.Session.add(term)
model.Session.commit()
return term.as_dict()
def hdx_qa_pii_run(context, data_dict):
'''
Add sdc micro flag "running" to resource
Post to aws endpoint to start the sdc micro check
:param data_dict: dictionary containg parameters
:type data_dict: dict
Parameters from data_dict
:param dataset_id: the id or name of the dataset
:type dataset_id: str
:param resource_id: the id or name of the resource
:type resource_id: str
:return: True or False or data_dict
:rtype: bool
'''
# resource_patch to mark sdc micro flag in "running" mode
# post to aws endpoint to start the sdc micro (sdc micro will have to mark the flag and upload the result)
_check_access('qa_pii_run', context, {})
resource_id = data_dict.get("resourceId")
if resource_id:
try:
resource_dict = get_action("hdx_qa_resource_patch")(context, {"id": resource_id, "pii_report_flag": "QUEUED"})
_run_pii_check(resource_dict, context)
except Exception, e:
ex_msg = e.message if hasattr(e, 'message') and e.message else str(e)
message = e.error_summary if hasattr(e, 'error_summary') and e.error_summary else 'Something went wrong while processing the request:' + str(ex_msg)
raise logic.ValidationError({'message': message}, error_summary=message)
def _check_reset_attempts(email):
redis_conn = connect_to_redis()
if email not in redis_conn.keys():
log.debug("Redis: first login attempt for {0}".format(email))
redis_conn.hmset(email, {
'attempts': 1,
'latest': datetime.now().isoformat()
})
else:
base = 3
attempts = int(redis_conn.hmget(email, 'attempts')[0])
latest = dateutil.parser.parse(redis_conn.hmget(email, 'latest')[0])
waiting_seconds = base**attempts
limit_date = latest + timedelta(seconds=waiting_seconds)
log.debug(
'Redis: wait {0} seconds after {1} attempts => after date {2}'.
format(waiting_seconds, attempts, limit_date.isoformat()))
if limit_date > datetime.now():
raise logic.ValidationError({
'user':
"******"
.format(int((limit_date - datetime.now()).total_seconds()),
limit_date.isoformat())
})
else:
# increase counter
redis_conn.hmset(email, {
'attempts': attempts + 1,
'latest': datetime.now().isoformat()
})
def upload(self, max_size=2):
''' Actually upload the file.
This should happen just before a commit but after the data has
been validated and flushed to the db. This is so we do not store
anything unless the request is actually good.
max_size is size in MB maximum of the file'''
if self.filename:
output_file = open(self.tmp_filepath, 'wb')
self.upload_file.seek(0)
current_size = 0
while True:
current_size = current_size + 1
# MB chuncks
data = self.upload_file.read(2**20)
if not data:
break
output_file.write(data)
if current_size > max_size:
os.remove(self.tmp_filepath)
raise logic.ValidationError(
{self.file_field: ['File upload too large']})
output_file.close()
os.rename(self.tmp_filepath, self.filepath)
self.clear = True
if (self.clear and self.old_filename
and not self.old_filename.startswith('http')):
try:
os.remove(self.old_filepath)
except OSError, e:
pass
def page_update(context, data_dict):
logic.check_access('page_update', context, data_dict)
validation.page_name_validator(data_dict, context)
try:
session = context['session']
page = pages_model.Page.get_by_id(id=data_dict['id'])
if page is None:
raise NotFound
populate_page(page, data_dict)
groups = data_dict.get('groups')
process_groups(context, page, groups)
tags = data_dict.get('tags')
process_tags(context, page, tags)
session.add(page)
session.commit()
return dictize.page_dictize(page)
except Exception as e:
ex_msg = e.message if hasattr(e, 'message') else str(e)
message = 'Something went wrong while processing the request: {}'.format(
ex_msg)
raise logic.ValidationError({'message': message},
error_summary=message)
def check_file_extension(file_name):
log.info('upload: checking file * %s * extension ', file_name)
file_extensions = config.get('ckan.upload.file_extensions', '').lower()
name, ext = os.path.splitext(file_name)
# check if not empty first
if len(ext[1:]) > 0:
if ext[1:].lower() not in file_extensions:
log.error(
"upload: the file * %s * was not uploaded - File extension * %s * is not allowed",
file_name, ext[1:].lower())
raise logic.ValidationError(
{'upload': ['File extension is not allowed']})
else:
log.error(
"upload: the file * %s * was not uploaded - File extension is empty",
file_name)
raise logic.ValidationError({'upload': ['File extension is empty']})
def resource_update(context, data_dict):
attributes = data_dict.pop('attributes', [])
errors = validate_resource_attributes_list(attributes)
if any(errors):
raise l.ValidationError(errors)
data_dict['attributes'] = attributes
return l.action.update.resource_update(context, data_dict)
def __init__(self, config, section):
self.cas_role = config.get(section, 'role.name')
self.group_name = config.get(section, 'role.group.name')
self.group_role = config.get(section, 'role.group.role')
self.is_org = config.getboolean(section, 'role.group.is_org')
if self.group_role not in ['member', 'editor', 'admin']:
raise logic.ValidationError('Group role not set for CAS role {0}'\
.format(self.cas_role))
