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def gt(min_value, # type: Any strict=False # type: bool ): """ 'Greater than' validation_function generator. Returns a validation_function to check that x >= min_value (strict=False, default) or x > min_value (strict=True) :param min_value: minimum value for x :param strict: Boole...
def lt(max_value, # type: Any strict=False # type: bool ): """ 'Lesser than' validation_function generator. Returns a validation_function to check that x <= max_value (strict=False, default) or x < max_value (strict=True) :param max_value: maximum value for x :param strict: Boolea...
def between(min_val, # type: Any max_val, # type: Any open_left=False, # type: bool open_right=False # type: bool ): """ 'Is between' validation_function generator. Returns a validation_function to check that min_val <= x <= max_val (defaul...
def _sub_process_main(started_event: Event, channel_name: str, connection: Connection, consumer_configuration: BrightsideConsumerConfiguration, consumer_factory: Callable[[Connection, BrightsideConsumerConfiguration, logging.Logger]...
def run_migrations_offline(): """Run migrations in 'offline' mode. This configures the context with just a URL and not an Engine, though an Engine is acceptable here as well. By skipping the Engine creation we don't even need a DBAPI to be available. Calls to context.execute() here emit the g...
def run_migrations_online(): """Run migrations in 'online' mode. In this scenario we need to create an Engine and associate a connection with the context. """ app_conf = dci_config.generate_conf() connectable = dci_config.get_engine(app_conf) with connectable.connect() as connection: ...
def reject(): """Sends a 401 reject response that enables basic auth.""" auth_message = ('Could not verify your access level for that URL.' 'Please login with proper credentials.') auth_message = json.dumps({'_status': 'Unauthorized', 'message': auth_messa...
def modify(self, **kwargs): """Modify a contact. Returns status message Optional Parameters: * name -- Contact name Type: String * email -- Contact email address Type: String * cellphone -- Cellphone number, without...
def _establish_connection(self, conn: BrokerConnection) -> None: """ We don't use a pool here. We only have one consumer connection per process, so we get no value from a pool, and we want to use a heartbeat to keep the consumer collection alive, which does not work with a pool :...
def run_heartbeat_continuously(self) -> threading.Event: """ For a long runing handler, there is a danger that we do not send a heartbeat message or activity on the connection whilst we are running the handler. With a default heartbeat of 30s, for example, there is a risk that a handler ...
def _check(user, topic): """If the topic has it's export_control set to True then all the teams under the product team can access to the topic's resources. :param user: :param topic: :return: True if check is ok, False otherwise """ # if export_control then check the team is associated to t...
def get_stream_or_content_from_request(request): """Ensure the proper content is uploaded. Stream might be already consumed by authentication process. Hence flask.request.stream might not be readable and return improper value. This methods checks if the stream has already been consumed and if so r...
def xpath_on_node(self, node, xpath, **kwargs): """ Return result of performing the given XPath query on the given node. All known namespace prefix-to-URI mappings in the document are automatically included in the XPath invocation. If an empty/default namespace (i.e. None) is d...
def _is_ns_in_ancestor(self, node, name, value): """ Return True if the given namespace name/value is defined in an ancestor of the given node, meaning that the given node need not have its own attributes to apply that namespacing. """ curr_node = self.get_node_parent(nod...
def generic_annotate(qs_model, generic_qs_model, aggregator, gfk_field=None, alias='score'): """ Find blog entries with the most comments: qs = generic_annotate(Entry.objects.public(), Comment.objects.public(), Count('comments__id')) for entry in qs: print entry.title, entry.sco...
def generic_aggregate(qs_model, generic_qs_model, aggregator, gfk_field=None): """ Find total number of comments on blog entries: generic_aggregate(Entry.objects.public(), Comment.objects.public(), Count('comments__id')) Find the average rating for foods starting with 'a': a_f...
def generic_filter(generic_qs_model, filter_qs_model, gfk_field=None): """ Only show me ratings made on foods that start with "a": a_foods = Food.objects.filter(name__startswith='a') generic_filter(Rating.objects.all(), a_foods) Only show me comments from entries that are marked as...
def gen_etag(): """Generate random etag based on MD5.""" my_salt = gen_uuid() if six.PY2: my_salt = my_salt.decode('utf-8') elif six.PY3: my_salt = my_salt.encode('utf-8') md5 = hashlib.md5() md5.update(my_salt) return md5.hexdigest()
def delete(self): """Delete this email report""" response = self.pingdom.request('DELETE', 'reports.shared/%s' % self.id) return response.json()['message']
def is_multiple_of(ref): """ Validates that x is a multiple of the reference (`x % ref == 0`) """ def is_multiple_of_ref(x): if x % ref == 0: return True else: raise IsNotMultipleOf(wrong_value=x, ref=ref) # raise Failure('x % {ref} == 0 does not hold for x={v...
def get_all_components(user, topic_id): """Get all components of a topic.""" args = schemas.args(flask.request.args.to_dict()) query = v1_utils.QueryBuilder(_TABLE, args, _C_COLUMNS) query.add_extra_condition(sql.and_( _TABLE.c.topic_id == topic_id, _TABLE.c.state != 'archived')) ...
def get_component_types_from_topic(topic_id, db_conn=None): """Returns the component types of a topic.""" db_conn = db_conn or flask.g.db_conn query = sql.select([models.TOPICS]).\ where(models.TOPICS.c.id == topic_id) topic = db_conn.execute(query).fetchone() topic = dict(topic) return ...
def get_component_types(topic_id, remoteci_id, db_conn=None): """Returns either the topic component types or the rconfigration's component types.""" db_conn = db_conn or flask.g.db_conn rconfiguration = remotecis.get_remoteci_configuration(topic_id, ...
def get_last_components_by_type(component_types, topic_id, db_conn=None): """For each component type of a topic, get the last one.""" db_conn = db_conn or flask.g.db_conn schedule_components_ids = [] for ct in component_types: where_clause = sql.and_(models.COMPONENTS.c.type == ct, ...
def verify_and_get_components_ids(topic_id, components_ids, component_types, db_conn=None): """Process some verifications of the provided components ids.""" db_conn = db_conn or flask.g.db_conn if len(components_ids) != len(component_types): msg = 'The number of com...
def retrieve_tags_from_component(user, c_id): """Retrieve all tags attached to a component.""" JCT = models.JOIN_COMPONENTS_TAGS query = (sql.select([models.TAGS]) .select_from(JCT.join(models.TAGS)) .where(JCT.c.component_id == c_id)) rows = flask.g.db_conn.execute(query) ...
def add_tag_for_component(user, c_id): """Add a tag on a specific component.""" v1_utils.verify_existence_and_get(c_id, _TABLE) values = { 'component_id': c_id } component_tagged = tags.add_tag_to_resource(values, models.JOIN_COMPONENTS_TAGS...
def delete_tag_for_component(user, c_id, tag_id): """Delete a tag on a specific component.""" # Todo : check c_id and tag_id exist in db query = _TABLE_TAGS.delete().where(_TABLE_TAGS.c.tag_id == tag_id and _TABLE_TAGS.c.component_id == c_id) try: flask.g...
def should_be_hidden_as_cause(exc): """ Used everywhere to decide if some exception type should be displayed or hidden as the casue of an error """ # reduced traceback in case of HasWrongType (instance_of checks) from valid8.validation_lib.types import HasWrongType, IsWrongType return isinstance(exc, (H...
def is_error_of_type(exc, ref_type): """ Helper function to determine if some exception is of some type, by also looking at its declared __cause__ :param exc: :param ref_type: :return: """ if isinstance(exc, ref_type): return True elif hasattr(exc, '__cause__') and exc.__cause__...
def _failure_raiser(validation_callable, # type: Callable failure_type=None, # type: Type[WrappingFailure] help_msg=None, # type: str **kw_context_args): # type: (...) -> Callable """ Wraps the provided validation function so that in ...
def _none_accepter(validation_callable # type: Callable ): # type: (...) -> Callable """ Wraps the given validation callable to accept None values silently. When a None value is received by the wrapper, it is not passed to the validation_callable and instead this function will return...
def _none_rejecter(validation_callable # type: Callable ): # type: (...) -> Callable """ Wraps the given validation callable to reject None values. When a None value is received by the wrapper, it is not passed to the validation_callable and instead this function will raise a Wrappin...
def get_help_msg(self, dotspace_ending=False, # type: bool **kwargs): # type: (...) -> str """ The method used to get the formatted help message according to kwargs. By default it returns the 'help_msg' attribute, whether it is defined at the in...
def get_details(self): """ The function called to get the details appended to the help message when self.append_details is True """ strval = str(self.wrong_value) if len(strval) > self.__max_str_length_displayed__: return '(Actual value is too big to be printed in this message)' ...
def get_details(self): """ Overrides the method in Failure so as to add a few details about the wrapped function and outcome """ if isinstance(self.validation_outcome, Exception): if isinstance(self.validation_outcome, Failure): # do not say again what was the value, it is a...
def get_context_for_help_msgs(self, context_dict): """ We override this method from HelpMsgMixIn to replace wrapped_func with its name """ context_dict = copy(context_dict) context_dict['wrapped_func'] = get_callable_name(context_dict['wrapped_func']) return context_dict
def validate_field(cls, field_name, *validation_func, # type: ValidationFuncs **kwargs): # type: (...) -> Callable """ A class decorator. It goes through all class variables and for all of those that are descriptors with a __set__, it wraps the d...
def validate_io(f=DECORATED, none_policy=None, # type: int _out_=None, # type: ValidationFuncs **kw_validation_funcs # type: ValidationFuncs ): """ A function decorator to add input validation prior to the function execution. It sh...
def validate_arg(f, arg_name, *validation_func, # type: ValidationFuncs **kwargs ): # type: (...) -> Callable """ A decorator to apply function input validation for the given argument name, with the provided base validation function(s)...
def validate_out(*validation_func, # type: ValidationFuncs **kwargs): # type: (...) -> Callable """ A decorator to apply function output validation to this function's output, with the provided base validation function(s). You may use several such decorators on a given function as long ...
def decorate_cls_with_validation(cls, field_name, # type: str *validation_func, # type: ValidationFuncs **kwargs): # type: (...) -> Type[Any] """ This method is equivalent to decorating a class with th...
def decorate_several_with_validation(func, _out_=None, # type: ValidationFuncs none_policy=None, # type: int **validation_funcs # type: ValidationFuncs ): # ...
def decorate_with_validation(func, arg_name, # type: str *validation_func, # type: ValidationFuncs **kwargs): # type: (...) -> Callable """ This method is the inner method used in `@validate_io`, `@validate_arg`...
def _get_final_none_policy_for_validator(is_nonable, # type: bool none_policy # type: NoneArgPolicy ): """ Depending on none_policy and of the fact that the target parameter is nonable or not, returns a corresponding NoneP...
def decorate_with_validators(func, func_signature=None, # type: Signature **validators # type: Validator ): """ Utility method to decorate the provided function with the provided input and output Validator objects. ...
def _assert_input_is_valid(input_value, # type: Any validators, # type: List[InputValidator] validated_func, # type: Callable input_name # type: str ): """ Called by the `validating_wrappe...
def get_what_txt(self): """ Overrides the base behaviour defined in ValidationError in order to add details about the function. :return: """ return 'input [{var}] for function [{func}]'.format(var=self.get_variable_str(), ...
def get_what_txt(self): """ Overrides the base behaviour defined in ValidationError in order to add details about the class field. :return: """ return 'field [{field}] for class [{clazz}]'.format(field=self.get_variable_str(), ...
def generate_nonce_timestamp(): """ Generate unique nonce with counter, uuid and rng.""" global count rng = botan.rng().get(30) uuid4 = uuid.uuid4().bytes # 16 byte tmpnonce = (bytes(str(count).encode('utf-8'))) + uuid4 + rng nonce = tmpnonce[:41] # 41 byte (328 bit) count += 1 return ...
def dict_merge(*dict_list): """recursively merges dict's. not just simple a['key'] = b['key'], if both a and bhave a key who's value is a dict then dict_merge is called on both values and the result stored in the returned dictionary. """ result = collections.defaultdict(dict) dicts_items = itert...
def schedule_jobs(user): """Dispatch jobs to remotecis. The remoteci can use this method to request a new job. Before a job is dispatched, the server will flag as 'killed' all the running jobs that were associated with the remoteci. This is because they will never be finished. """ values ...
def create_new_update_job_from_an_existing_job(user, job_id): """Create a new job in the same topic as the job_id provided and associate the latest components of this topic.""" values = { 'id': utils.gen_uuid(), 'created_at': datetime.datetime.utcnow().isoformat(), 'updated_at': dat...
def create_new_upgrade_job_from_an_existing_job(user): """Create a new job in the 'next topic' of the topic of the provided job_id.""" values = schemas.job_upgrade.post(flask.request.json) values.update({ 'id': utils.gen_uuid(), 'created_at': datetime.datetime.utcnow().isoformat(), ...
def get_all_jobs(user, topic_id=None): """Get all jobs. If topic_id is not None, then return all the jobs with a topic pointed by topic_id. """ # get the diverse parameters args = schemas.args(flask.request.args.to_dict()) # build the query thanks to the QueryBuilder class query = v1_u...
def update_job_by_id(user, job_id): """Update a job """ # get If-Match header if_match_etag = utils.check_and_get_etag(flask.request.headers) # get the diverse parameters values = schemas.job.put(flask.request.json) job = v1_utils.verify_existence_and_get(job_id, _TABLE) job = dict(job...
def get_all_results_from_jobs(user, j_id): """Get all results from job. """ job = v1_utils.verify_existence_and_get(j_id, _TABLE) if not user.is_in_team(job['team_id']) and not user.is_read_only_user(): raise dci_exc.Unauthorized() # get testscases from tests_results query = sql.selec...
def get_tags_from_job(user, job_id): """Retrieve all tags attached to a job.""" job = v1_utils.verify_existence_and_get(job_id, _TABLE) if not user.is_in_team(job['team_id']) and not user.is_read_only_user(): raise dci_exc.Unauthorized() JTT = models.JOIN_JOBS_TAGS query = (sql.select([mod...
def add_tag_to_job(user, job_id): """Add a tag to a job.""" job = v1_utils.verify_existence_and_get(job_id, _TABLE) if not user.is_in_team(job['team_id']): raise dci_exc.Unauthorized() values = { 'job_id': job_id } job_tagged = tags.add_tag_to_resource(values, models.JOIN_JOBS...
def delete_tag_from_job(user, job_id, tag_id): """Delete a tag from a job.""" _JJT = models.JOIN_JOBS_TAGS job = v1_utils.verify_existence_and_get(job_id, _TABLE) if not user.is_in_team(job['team_id']): raise dci_exc.Unauthorized() v1_utils.verify_existence_and_get(tag_id, models.TAGS) ...
def _lookup_node_parent(self, node): """ Return the parent of the given node, based on an internal dictionary mapping of child nodes to the child's parent required since ElementTree doesn't make info about node ancestry/parentage available. """ # Basic caching of our inte...
def _is_node_an_element(self, node): """ Return True if the given node is an ElementTree Element, a fact that can be tricky to determine if the cElementTree implementation is used. """ # Try the simplest approach first, works for plain old ElementTree if isinstanc...
def xpath_on_node(self, node, xpath, **kwargs): """ Return result of performing the given XPath query on the given node. All known namespace prefix-to-URI mappings in the document are automatically included in the XPath invocation. If an empty/default namespace (i.e. None) is d...
def get_to_purge_archived_resources(user, table): """List the entries to be purged from the database. """ if user.is_not_super_admin(): raise dci_exc.Unauthorized() archived_resources = get_archived_resources(table) return flask.jsonify({table.name: archived_resources, ...
def purge_archived_resources(user, table): """Remove the entries to be purged from the database. """ if user.is_not_super_admin(): raise dci_exc.Unauthorized() where_clause = sql.and_( table.c.state == 'archived' ) query = table.delete().where(where_clause) flask.g.db_conn.exec...
def refresh_api_secret(user, resource, table): """Refresh the resource API Secret. """ resource_name = table.name[0:-1] where_clause = sql.and_( table.c.etag == resource['etag'], table.c.id == resource['id'], ) values = { 'api_secret': signature.gen_secret(), 'etag...
def npm(package_json, output_file, pinned_file): """Generate a package.json file.""" amd_build_deprecation_warning() try: version = get_distribution(current_app.name).version except DistributionNotFound: version = '' output = { 'name': current_app.name, 'version': ma...
def getAnalyses(self, **kwargs): """Returns a list of the latest root cause analysis results for a specified check. Optional Parameters: * limit -- Limits the number of returned results to the specified quantity. Type: Integer ...
def getDetails(self): """Update check details, returns dictionary of details""" response = self.pingdom.request('GET', 'checks/%s' % self.id) self.__addDetails__(response.json()['check']) return response.json()['check']
def modify(self, **kwargs): """Modify settings for a check. The provided settings will overwrite previous values. Settings not provided will stay the same as before the update. To clear an existing value, provide an empty value. Please note that you cannot change the type of ...
def averages(self, **kwargs): """Get the average time / uptime value for a specified check and time period. Optional parameters: * time_from -- Start time of period. Format is UNIX timestamp Type: Integer Default: 0 * time_to...
def probes(self, fromtime, totime=None): """Get a list of probes that performed tests for a specified check during a specified period.""" args = {'from': fromtime} if totime: args['to'] = totime response = self.pingdom.request('GET', 'summary.probes/%s' % self.i...
def publishPublicReport(self): """Activate public report for this check. Returns status message""" response = self.pingdom.request('PUT', 'reports.public/%s' % self.id) return response.json()['message']
def removePublicReport(self): """Deactivate public report for this check. Returns status message""" response = self.pingdom.request('DELETE', 'reports.public/%s' % self.id) return response.json()['message']
def extract_deps(bundles, log=None): """Extract the dependencies from the bundle and its sub-bundles.""" def _flatten(bundle): deps = [] if hasattr(bundle, 'npm'): deps.append(bundle.npm) for content in bundle.contents: if isinstance(content, BundleBase): ...
def make_semver(version_str): """Make a semantic version from Python PEP440 version. Semantic versions does not handle post-releases. """ v = parse_version(version_str) major = v._version.release[0] try: minor = v._version.release[1] except IndexError: minor = 0 try: ...
def get_max_size(pool, num_option, item_length): """ Calculate the max number of item that an option can stored in the pool at give time. This is to limit the pool size to POOL_SIZE Args: option_index (int): the index of the option to calculate the size for pool (dict): answer pool ...
def offer_answer(pool, answer, rationale, student_id, algo, options): """ submit a student answer to the answer pool The answer maybe selected to stay in the pool depending on the selection algorithm Args: pool (dict): answer pool Answer pool format: { o...
def offer_simple(pool, answer, rationale, student_id, options): """ The simple selection algorithm. This algorithm randomly select an answer from the pool to discard and add the new one when the pool reaches the limit """ existing = pool.setdefault(answer, {}) if len(existing) >= get_max_si...
def offer_random(pool, answer, rationale, student_id, options): """ The random selection algorithm. The same as simple algorithm """ offer_simple(pool, answer, rationale, student_id, options)
def validate_seeded_answers_simple(answers, options, algo): """ This validator checks if the answers includes all possible options Args: answers (str): the answers to be checked options (dict): all options that should exist in the answers algo (str): selection algorithm Returns...
def validate_seeded_answers(answers, options, algo): """ Validate answers based on selection algorithm This is called when instructor setup the tool and providing seeded answers to the question. This function is trying to validate if instructor provided enough seeds for a give algorithm. e.g. we re...
def get_other_answers(pool, seeded_answers, get_student_item_dict, algo, options): """ Select other student's answers from answer pool or seeded answers based on the selection algorithm Args: pool (dict): answer pool, format: { option1_index: { studen...
def get_other_answers_simple(pool, seeded_answers, get_student_item_dict, num_responses): """ Get answers from others with simple algorithm, which picks one answer for each option. Args: see `get_other_answers` num_responses (int): the number of responses to be returned. This value may not ...
def get_other_answers_random(pool, seeded_answers, get_student_item_dict, num_responses): """ Get answers from others with random algorithm, which randomly select answer from the pool. Student may get three answers for option 1 or one answer for option 1 and two answers for option 2. Args: see...
def convert_seeded_answers(answers): """ Convert seeded answers into the format that can be merged into student answers. Args: answers (list): seeded answers Returns: dict: seeded answers with student answers format: { 0: { 'seeded0': 'ra...
def upgradeProcessor1to2(oldProcessor): """ Batch processors stopped polling at version 2, so they no longer needed the idleInterval attribute. They also gained a scheduled attribute which tracks their interaction with the scheduler. Since they stopped polling, we also set them up as a timed event...
def processor(forType): """ Create an Axiom Item type which is suitable to use as a batch processor for the given Axiom Item type. Processors created this way depend on a L{iaxiom.IScheduler} powerup on the on which store they are installed. @type forType: L{item.MetaItem} @param forType: ...
def storeBatchServiceSpecialCase(st, pups): """ Adapt a L{Store} to L{IBatchService}. If C{st} is a substore, return a simple wrapper that delegates to the site store's L{IBatchService} powerup. Return C{None} if C{st} has no L{BatchProcessingControllerService}. """ if st.parent is not Non...
def mark(self): """ Mark the unit of work as failed in the database and update the listener so as to skip it next time. """ self.reliableListener.lastRun = extime.Time() BatchProcessingError( store=self.reliableListener.store, processor=self.reliab...
def run(self): """ Try to run one unit of work through one listener. If there are more listeners or more work, reschedule this item to be run again in C{self.busyInterval} milliseconds, otherwise unschedule it. @rtype: L{extime.Time} or C{None} @return: The next time at...
def addReliableListener(self, listener, style=iaxiom.LOCAL): """ Add the given Item to the set which will be notified of Items available for processing. Note: Each Item is processed synchronously. Adding too many listeners to a single batch processor will cause the L{step} ...
def removeReliableListener(self, listener): """ Remove a previously added listener. """ self.store.query(_ReliableListener, attributes.AND(_ReliableListener.processor == self, _ReliableListener.listener == listener)).delete...
def getReliableListeners(self): """ Return an iterable of the listeners which have been added to this batch processor. """ for rellist in self.store.query(_ReliableListener, _ReliableListener.processor == self): yield rellist.listener
def getFailedItems(self): """ Return an iterable of two-tuples of listeners which raised an exception from C{processItem} and the item which was passed as the argument to that method. """ for failed in self.store.query(BatchProcessingError, BatchProcessingError.processor ...
def itemAdded(self): """ Called to indicate that a new item of the type monitored by this batch processor is being added to the database. If this processor is not already scheduled to run, this will schedule it. It will also start the batch process if it is not yet running and ...
def call(self, itemMethod): """ Invoke the given bound item method in the batch process. Return a Deferred which fires when the method has been invoked. """ item = itemMethod.im_self method = itemMethod.im_func.func_name return self.batchController.getProcess().a...
def processWhileRunning(self): """ Run tasks until stopService is called. """ work = self.step() for result, more in work: yield result if not self.running: break if more: delay = 0.1 else: ...
def getcols(sheetMatch=None,colMatch="Decay"): """find every column in every sheet and put it in a new sheet or book.""" book=BOOK() if sheetMatch is None: matchingSheets=book.sheetNames print('all %d sheets selected '%(len(matchingSheets))) else: matchingSheets=[x for x in book....
def upgradeStore(self, store): """ Recursively upgrade C{store}. """ self.upgradeEverything(store) upgradeExplicitOid(store) for substore in store.query(SubStore): print 'Upgrading: {!r}'.format(substore) self.upgradeStore(substore.open())