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my_plurals = resource_helper.build_plural_mappings( {}, RESOURCE_ATTRIBUTE_MAP) attributes.PLURALS.update(my_plurals) attr_map = RESOURCE_ATTRIBUTE_MAP resources = resource_helper.build_resource_info(my_plurals, ...
def get_resources(cls)
Returns external resources.
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vth = a10_cfg.get_vthunder_config() initialize_interfaces(vth, device_cfg, client) initialize_dns(vth, device_cfg, client) initialize_licensing(vth, device_cfg, client) initialize_sflow(vth, device_cfg, client)
def initialize_vthunder(a10_cfg, device_cfg, client)
Perform initialization of system-wide settings
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if db_session is not None: yield db_session else: session = get_session(url, expire_on_commit=False) try: try: yield session finally: session.commit() finally: session.close()
def magic_session(db_session=None, url=None)
Either does nothing with the session you already have or makes one that commits and closes no matter what happens
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for attached_interface in server.interface_list(): if attached_interface.net_id == network_id: if any(map(lambda x: x['ip_address'] in wrong_ips, attached_interface.fixed_ips)): continue return attached_interface return server.in...
def _plumb_port(self, server, network_id, wrong_ips)
Look for an existing port on the network Add one if it doesn't exist
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# Get an available IP and mark it as used before someone else does # If there's no IP, , log it and return an error # If we successfully get an IP, create a port with the specified MAC and device data # If port creation fails, deallocate the IP subnet = self.get_subnet(s...
def allocate_ip_for_subnet(self, subnet_id, mac, port_id)
Allocates an IP from the specified subnet and creates a port
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subnet_id = subnet["id"] network_id = subnet["network_id"] iprange_result = self.get_ipallocationpool_by_subnet_id(subnet_id) ip_in_use_list = [x.ip_address for x in self.get_ipallocations_by_subnet_id(subnet_id)] range_begin, range_end = iprange_result.first_ip, ipran...
def a10_allocate_ip_from_dhcp_range(self, subnet, interface_id, mac, port_id)
Search for an available IP.addr from unallocated nmodels.IPAllocationPool range. If no addresses are available then an error is raised. Returns the address as a string. This search is conducted by a difference of the nmodels.IPAllocationPool set_a and the current IP allocations.
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pool_name = self._pool_name(context, pool_id) c.client.slb.service_group.update(pool_name, health_monitor="", health_check_disable=True)
def _dissociate(self, c, context, hm, pool_id)
Remove a pool association
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self._dissociate(c, context, hm, pool_id) pools = hm.get("pools", []) if not any(p for p in pools if p.get("pool_id") != pool_id): self._delete_unused(c, context, hm)
def dissociate(self, c, context, hm, pool_id)
Remove a pool association, and the healthmonitor if its the last one
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pools = hm.get("pools", []) for pool in pools: pool_id = pool.get("pool_id") self._dissociate(c, context, hm, pool_id) self._delete_unused(c, context, hm)
def _delete(self, c, context, hm)
Delete a healthmonitor and ALL its pool associations
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if self.fitness is not None: raise Exception( "You are calculating the fitness of agent {}, ".format(self.id) + "but they already have a fitness" ) said_blue = self.infos(type=Meme)[0].contents == "blue" proportion = float( ...
def calculate_fitness(self)
Calculcate your fitness.
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genes = [i for i in infos if isinstance(i, LearningGene)] for gene in genes: if ( self.network.role == "experiment" and self.generation > 0 and random.random() < 0.10 ): self.mutate(gene) else: ...
def update(self, infos)
Process received infos.
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if not self.networks(): super(Bartlett1932, self).setup() for net in self.networks(): self.models.WarOfTheGhostsSource(network=net)
def setup(self)
Setup the networks. Setup only does stuff if there are no networks, this is so it only runs once at the start of the experiment. It first calls the same function in the super (see experiments.py in dallinger). Then it adds a source to each network.
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network.add_node(node) parents = node.neighbors(direction="from") if len(parents): parent = parents[0] parent.transmit() node.receive()
def add_node_to_network(self, node, network)
Add node to the chain and receive transmissions.
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if self.networks(full=False): self.recruiter.recruit(n=1) else: self.recruiter.close_recruitment()
def recruit(self)
Recruit one participant at a time until all networks are full.
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try: logger.info("Entering participate method") ready = WebDriverWait(self.driver, 10).until( EC.element_to_be_clickable((By.ID, "finish-reading")) ) stimulus = self.driver.find_element_by_id("stimulus") story = stimulus.find_e...
def participate(self)
Finish reading and send text
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info = self._info_type()(origin=self, contents=self._contents()) return info
def create_information(self)
Create new infos on demand.
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if not self.networks(): super(IteratedDrawing, self).setup() for net in self.networks(): self.models.DrawingSource(network=net)
def setup(self)
Setup the networks. Setup only does stuff if there are no networks, this is so it only runs once at the start of the experiment. It first calls the same function in the super (see experiments.py in dallinger). Then it adds a source to each network.
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super(RogersExperiment, self).setup() for net in random.sample(self.networks(role="experiment"), self.catch_repeats): net.role = "catch" for net in self.networks(): source = self.models.RogersSource(network=net) source.create_information() ...
def setup(self)
First time setup.
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return DiscreteGenerational( generations=self.generations, generation_size=self.generation_size, initial_source=True, )
def create_network(self)
Create a new network.
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return self.models.RogersAgent(network=network, participant=participant)
def create_node(self, network, participant)
Make a new node for participants.
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num_approved = len(Participant.query.filter_by(status="approved").all()) current_generation = participant.nodes()[0].generation if ( num_approved % self.generation_size == 0 and (current_generation % 10 + 1) == 0 ): for e in self.models.Rogers...
def submission_successful(self, participant)
Run when a participant submits successfully.
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num_approved = len(Participant.query.filter_by(status="approved").all()) end_of_generation = num_approved % self.generation_size == 0 complete = num_approved >= (self.generations * self.generation_size) if complete: self.log("All networks full: closing recruitment", ...
def recruit(self)
Recruit participants if necessary.
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scores = [ n.score for n in participant.nodes() if n.network.role == "experiment" ] average = float(sum(scores)) / float(len(scores)) bonus = round(max(0.0, ((average - 0.5) * 2)) * self.bonus_payment, 2) return bonus
def bonus(self, participant)
Calculate a participants bonus.
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if self.catch_repeats == 0: return True scores = [n.score for n in participant.nodes() if n.network.role == "catch"] avg = float(sum(scores)) / float(len(scores)) return avg >= self.min_acceptable_performance
def attention_check(self, participant=None)
Check a participant paid attention.
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total_size = 0 exclusions = exclusion_policy() for dirpath, dirnames, filenames in os.walk(root, topdown=True): current_exclusions = exclusions(dirpath, os.listdir(dirpath)) # Modifying dirnames in-place will prune the subsequent files and # directories visited by os.walk. This ...
def size_on_copy(root=".")
Return the size of the experiment directory in bytes, excluding any files and directories which would be excluded on copy.
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app_id = config.get("id") dst = os.path.join(tempfile.mkdtemp(), app_id) # Copy local experiment files, minus some shutil.copytree(os.getcwd(), dst, ignore=exclusion_policy()) # Export the loaded configuration config.write(filter_sensitive=True, directory=dst) # Save the experiment i...
def assemble_experiment_temp_dir(config)
Create a temp directory from which to run an experiment. The new directory will include: - Copies of custom experiment files which don't match the exclusion policy - Templates and static resources from Dallinger - An export of the loaded configuration - Heroku-specific files (Procile, runtime.txt) f...
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# Verify that the Postgres server is running. try: db.check_connection() except Exception: log("There was a problem connecting to the Postgres database!") raise # Check that the demo-specific requirements are satisfied. try: with open("requirements.txt", "r") a...
def setup_experiment(log, debug=True, verbose=False, app=None, exp_config=None)
Checks the experiment's python dependencies, then prepares a temp directory with files merged from the custom experiment and Dallinger. The resulting directory includes all the files necessary to deploy to Heroku.
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self.configure() self.setup() self.update_dir() db.init_db(drop_all=True) self.out.log("Starting up the server...") config = get_config() with HerokuLocalWrapper(config, self.out, verbose=self.verbose) as wrapper: try: self.exe...
def run(self)
Set up the environment, get a HerokuLocalWrapper instance, and pass it to the concrete class's execute() method.
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for regex, handler in self.dispatch.items(): match = re.search(regex, message) if match: handler = getattr(self, handler) return handler(match)
def notify(self, message)
Callback function which checks lines of output, tries to match against regex defined in subclass's "dispatch" dict, and passes through to a handler on match.
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self.out.log("new recruitment request!") url = match.group(1) if self.proxy_port is not None: self.out.log("Using proxy port {}".format(self.proxy_port)) url = url.replace(str(get_config().get("base_port")), self.proxy_port) new_webbrowser_profile().open(...
def new_recruit(self, match)
Dispatched to by notify(). If a recruitment request has been issued, open a browser window for the a new participant (in this case the person doing local debugging).
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if self.status_thread is None: self.status_thread = threading.Thread(target=self.check_status) self.status_thread.start()
def recruitment_closed(self, match)
Recruitment is closed. Start a thread to check the experiment summary.
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self.out.log("Recruitment is complete. Waiting for experiment completion...") base_url = get_base_url() status_url = base_url + "/summary" while not self.complete: time.sleep(10) try: resp = requests.get(status_url) exp_dat...
def check_status(self)
Check the output of the summary route until the experiment is complete, then we can stop monitoring Heroku subprocess output.
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if self.complete: return HerokuLocalWrapper.MONITOR_STOP return super(DebugDeployment, self).notify(message)
def notify(self, message)
Monitor output from heroku process. This overrides the base class's `notify` to make sure that we stop if the status-monitoring thread has determined that the experiment is complete.
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db.init_db(drop_all=True) self.out.log( "Ingesting dataset from {}...".format(os.path.basename(self.zip_path)) ) data.ingest_zip(self.zip_path) base_url = get_base_url() self.out.log("Server is running on {}. Press Ctrl+C to exit.".format(base_url)) ...
def execute(self, heroku)
Start the server, load the zip file into the database, then loop until terminated with <control>-c.
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self.out.log("replay ready!") url = match.group(1) new_webbrowser_profile().open(url, new=1, autoraise=True)
def start_replay(self, match)
Dispatched to by notify(). If a recruitment request has been issued, open a browser window for the a new participant (in this case the person doing local debugging).
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app = util.import_app("dallinger.experiment_server.sockets:app") if self.options.get("mode") == "debug": app.debug = True return app
def load(self)
Return our application to be run.
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animal = json.loads(self.contents) for prop, prop_range in self.properties.items(): range = prop_range[1] - prop_range[0] jittered = animal[prop] + random.gauss(0, 0.1 * range) animal[prop] = max(min(jittered, prop_range[1]), prop_range[0]) return j...
def perturbed_contents(self)
Perturb the given animal.
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other_nodes = [n for n in self.nodes() if n.id != node.id] if len(self.nodes()) > 11: parents = [max(other_nodes, key=attrgetter("creation_time"))] else: parents = [n for n in other_nodes if isinstance(n, Source)] for parent in parents: paren...
def add_node(self, node)
Add an agent, connecting it to the previous node.
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other_nodes = [n for n in self.nodes() if n.id != node.id] for n in other_nodes: if isinstance(n, Source): node.connect(direction="from", whom=n) else: node.connect(direction="both", whom=n)
def add_node(self, node)
Add a node, connecting it to everyone and back.
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nodes = [n for n in self.nodes() if not isinstance(n, Source)] source.connect(whom=nodes)
def add_source(self, source)
Connect the source to all existing other nodes.
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nodes = self.nodes() if len(nodes) > 1: first_node = min(nodes, key=attrgetter("creation_time")) first_node.connect(direction="both", whom=node)
def add_node(self, node)
Add a node and connect it to the center.
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num_agents = len(self.nodes(type=Agent)) curr_generation = int((num_agents - 1) / float(self.generation_size)) node.generation = curr_generation if curr_generation == 0 and self.initial_source: parent = self._select_oldest_source() else: parent =...
def add_node(self, node)
Link to the agent from a parent based on the parent's fitness
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for predecessor in self._most_recent_predecessors_to(node): predecessor.connect(whom=node)
def add_node(self, node)
Add a node, connecting it to all the active nodes.
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class_ = getattr(networks, self.network_class) return class_(max_size=self.quorum)
def create_network(self)
Create a new network by reading the configuration file.
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for agent in node.neighbors(): node.transmit(what=info, to_whom=agent)
def info_post_request(self, node, info)
Run when a request to create an info is complete.
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def new_func(*args, **kwargs): resp = make_response(func(*args, **kwargs)) resp.cache_control.no_cache = True return resp return update_wrapper(new_func, func)
def nocache(func)
Stop caching for pages wrapped in nocache decorator.
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exclusion_rules = [ r.strip() for r in self.config.get("browser_exclude_rule", "").split(",") if r.strip() ] return exclusion_rules
def exclusions(self)
Return list of browser exclusion rules defined in the Configuration.
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user_agent_obj = user_agents.parse(user_agent_string) browser_ok = True for rule in self.exclusions: if rule in ["mobile", "tablet", "touchcapable", "pc", "bot"]: if ( (rule == "mobile" and user_agent_obj.is_mobile) or ...
def is_supported(self, user_agent_string)
Check user agent against configured exclusions.
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if not self.networks(): super(FunctionLearning, self).setup() for net in self.networks(): self.models.SinusoidalFunctionSource(network=net)
def setup(self)
Setup does stuff only if there are no networks. This is so it only runs once at the start of the experiment. It first calls the same function in the super (see experiments.py in dallinger). Then it adds a source to each network.
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return self.models.MCMCPAgent(network=network, participant=participant)
def create_node(self, network, participant)
Create a node for a participant.
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infos = participant.infos() return len([info for info in infos if info.chosen]) * 2 == len(infos)
def data_check(self, participant)
Make sure each trial contains exactly one chosen info.
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try: while True: left = WebDriverWait(self.driver, 10).until( EC.element_to_be_clickable((By.ID, "left_button")) ) right = WebDriverWait(self.driver, 10).until( EC.element_to_be_clickable((By.ID, "right_...
def participate(self)
Finish reading and send text
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# Check locally first cwd = os.getcwd() data_filename = "{}-data.zip".format(app_id) path_to_data = os.path.join(cwd, "data", data_filename) if os.path.exists(path_to_data): try: Data(path_to_data) except IOError: from dallinger import logger ...
def find_experiment_export(app_id)
Attempt to find a zipped export of an experiment with the ID provided and return its path. Returns None if not found. Search order: 1. local "data" subdirectory 2. user S3 bucket 3. Dallinger S3 bucket
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path_to_data = find_experiment_export(app_id) if path_to_data is None: raise IOError("Dataset {} could not be found.".format(app_id)) return Data(path_to_data)
def load(app_id)
Load the data from wherever it is found.
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tmp_dir = tempfile.mkdtemp() current_dir = os.getcwd() os.chdir(tmp_dir) FNULL = open(os.devnull, "w") heroku_app = HerokuApp(dallinger_uid=id, output=FNULL) heroku_app.backup_capture() heroku_app.backup_download() for filename in os.listdir(tmp_dir): if filename.startswi...
def dump_database(id)
Dump the database to a temporary directory.
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filename = dump_database(id) key = "{}.dump".format(id) bucket = user_s3_bucket() bucket.upload_file(filename, key) return _generate_s3_url(bucket, key)
def backup(id)
Backup the database to S3.
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bucket = registration_s3_bucket() key = registration_key(id) obj = bucket.Object(key) obj.put(Body=url or "missing") return _generate_s3_url(bucket, key)
def register(id, url=None)
Register a UUID key in the global S3 bucket.
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bucket = registration_s3_bucket() key = registration_key(id) found_keys = set(obj.key for obj in bucket.objects.filter(Prefix=key)) return key in found_keys
def is_registered(id)
Check if a UUID is already registered
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heroku_app = HerokuApp(dallinger_uid=id) try: subprocess.call(["dropdb", heroku_app.name]) except Exception: pass heroku_app.pg_pull()
def copy_heroku_to_local(id)
Copy a Heroku database locally.
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if "postgresql://" in dsn or "postgres://" in dsn: conn = psycopg2.connect(dsn=dsn) else: conn = psycopg2.connect(database=dsn, user="dallinger") cur = conn.cursor() for table in table_names: csv_path = os.path.join(path, "{}.csv".format(table)) with open(csv_path, "...
def copy_db_to_csv(dsn, path, scrub_pii=False)
Copy a local database to a set of CSV files.
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path = os.path.join(path_to_data, "participant.csv") with open_for_csv(path, "r") as input, open("{}.0".format(path), "w") as output: reader = csv.reader(input) writer = csv.writer(output) headers = next(reader) writer.writerow(headers) for i, row in enumerate(reader...
def _scrub_participant_table(path_to_data)
Scrub PII from the given participant table.
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print("Preparing to export the data...") if local: db_uri = db.db_url else: db_uri = HerokuApp(id).db_uri # Create the data package if it doesn't already exist. subdata_path = os.path.join("data", id, "data") try: os.makedirs(subdata_path) except OSError as e...
def export(id, local=False, scrub_pii=False)
Export data from an experiment.
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import_order = [ "network", "participant", "node", "info", "notification", "question", "transformation", "vector", "transmission", ] with ZipFile(path, "r") as archive: filenames = archive.namelist() for name in imp...
def ingest_zip(path, engine=None)
Given a path to a zip file created with `export()`, recreate the database with the data stored in the included .csv files.
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if engine is None: engine = db.engine reader = csv.reader(file) columns = tuple('"{}"'.format(n) for n in next(reader)) postgres_copy.copy_from( file, model, engine, columns=columns, format="csv", HEADER=False ) fix_autoincrement(model.__table__.name)
def ingest_to_model(file, model, engine=None)
Load data from a CSV file handle into storage for a SQLAlchemy model class.
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exists = True try: s3.meta.client.head_bucket(Bucket=name) except botocore.exceptions.ClientError as e: error_code = int(e.response["Error"]["Code"]) if error_code == 404: exists = False else: raise if not exists: s3.create_bucket(Buc...
def _get_or_create_s3_bucket(s3, name)
Get an S3 bucket resource after making sure it exists
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s3 = _s3_resource() if not canonical_user_id: canonical_user_id = _get_canonical_aws_user_id(s3) s3_bucket_name = "dallinger-{}".format( hashlib.sha256(canonical_user_id.encode("utf8")).hexdigest()[0:8] ) return _get_or_create_s3_bucket(s3, s3_bucket_name)
def user_s3_bucket(canonical_user_id=None)
Get the user's S3 bucket.
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config = get_config() if not config.ready: config.load() region = "us-east-1" if dallinger_region else config.get("aws_region") return boto3.resource( "s3", region_name=region, aws_access_key_id=config.get("aws_access_key_id"), aws_secret_access_key=config.g...
def _s3_resource(dallinger_region=False)
A boto3 S3 resource using the AWS keys in the config.
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images = ["owl.png"] # We're selecting from a list of only one item here, but it's a useful # technique to demonstrate: image = random.choice(images) image_path = os.path.join("static", "stimuli", image) uri_encoded_image = "data:image/png;base64," + base64.b6...
def _contents(self)
Define the contents of new Infos. transmit() -> _what() -> create_information() -> _contents().
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parents = from_whom parent_fs = [p.fitness for p in parents] parent_probs = [(f / (1.0 * sum(parent_fs))) for f in parent_fs] rnd = random.random() temp = 0.0 for i, probability in enumerate(parent_probs): temp += probability if temp > rnd: parent = parents[i] ...
def transmit_by_fitness(from_whom, to_whom=None, what=None)
Choose a parent with probability proportional to their fitness.
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email_settings = EmailConfig(config) if config.get("mode") == "debug": return DebugMessenger(email_settings) problems = email_settings.validate() if problems: logger.info(problems + " Will log errors instead of emailing them.") return DebugMessenger(email_settings) retur...
def get_messenger(config)
Return an appropriate Messenger. If we're in debug mode, or email settings aren't set, return a debug version which logs the message instead of attempting to send a real email.
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missing = [] for k, v in self._map.items(): attr = getattr(self, k, False) if not attr or attr == CONFIG_PLACEHOLDER: missing.append(v) if missing: return "Missing or invalid config values: {}".format( ", ".join(sorted(...
def validate(self)
Could this config be used to send a real email?
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try: yield local_session if commit: local_session.commit() logger.debug("DB session auto-committed as requested") except Exception as e: # We log the exception before re-raising it, in case the rollback also # fails logger.exception("Exception...
def sessions_scope(local_session, commit=False)
Provide a transactional scope around a series of operations.
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@wraps(func) def wrapper(*args, **kwargs): with sessions_scope(session): # The session used in func comes from the funcs globals, but # it will be a proxied thread local var from the session # registry, and will therefore be identical to the one returned ...
def scoped_session_decorator(func)
Manage contexts and add debugging to db sessions.
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try: if drop_all: Base.metadata.drop_all(bind=bind) Base.metadata.create_all(bind=bind) except OperationalError as err: msg = 'password authentication failed for user "dallinger"' if msg in err.message: sys.stderr.write(db_user_warning) raise ...
def init_db(drop_all=False, bind=engine)
Initialize the database, optionally dropping existing tables.
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@wraps(func) def wrapper(*args, **kw): attempts = 100 session.remove() while attempts > 0: try: session.connection( execution_options={"isolation_level": "SERIALIZABLE"} ) result = func(*args, **kw) ...
def serialized(func)
Run a function within a db transaction using SERIALIZABLE isolation. With this isolation level, committing will fail if this transaction read data that was since modified by another transaction. So we need to handle that case and retry the transaction.
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lag_tolerance_secs = float(request.args.get("tolerance", 0.1)) client = Client(ws, lag_tolerance_secs=lag_tolerance_secs) client.subscribe(request.args.get("channel")) gevent.spawn(client.heartbeat) client.publish()
def chat(ws)
Relay chat messages to and from clients.
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self.clients.append(client) log("Subscribed client {} to channel {}".format(client, self.name))
def subscribe(self, client)
Subscribe a client to the channel.
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if client in self.clients: self.clients.remove(client) log("Unsubscribed client {} from channel {}".format(client, self.name))
def unsubscribe(self, client)
Unsubscribe a client from the channel.
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pubsub = redis_conn.pubsub() name = self.name if isinstance(name, six.text_type): name = name.encode("utf-8") try: pubsub.subscribe([name]) except ConnectionError: app.logger.exception("Could not connect to redis.") log("Listen...
def listen(self)
Relay messages from a redis pubsub to all subscribed clients. This is run continuously in a separate greenlet.
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if channel_name not in self.channels: self.channels[channel_name] = channel = Channel(channel_name) channel.start() self.channels[channel_name].subscribe(client)
def subscribe(self, client, channel_name)
Register a new client to receive messages on a channel.
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for channel in self.channels.values(): channel.unsubscribe(client)
def unsubscribe(self, client)
Unsubscribe a client from all channels.
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if isinstance(message, bytes): message = message.decode("utf8") with self.send_lock: try: self.ws.send(message) except socket.error: chat_backend.unsubscribe(self)
def send(self, message)
Send a single message to the websocket.
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while not self.ws.closed: gevent.sleep(HEARTBEAT_DELAY) gevent.spawn(self.send, "ping")
def heartbeat(self)
Send a ping to the websocket periodically. This is needed so that Heroku won't close the connection from inactivity.
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while not self.ws.closed: # Sleep to prevent *constant* context-switches. gevent.sleep(self.lag_tolerance_secs) message = self.ws.receive() if message is not None: channel_name, data = message.split(":", 1) redis_conn.publi...
def publish(self)
Relay messages from client to redis.
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from dallinger.config import get_config config = get_config() if not config.ready: config.load() driver_url = config.get("webdriver_url", None) driver_type = config.get("webdriver_type") driver = None if driver_url: capabilities ...
def driver(self)
Returns a Selenium WebDriver instance of the type requested in the configuration.
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try: self.driver.get(self.URL) logger.info("Loaded ad page.") begin = WebDriverWait(self.driver, 10).until( EC.element_to_be_clickable((By.CLASS_NAME, "btn-primary")) ) begin.click() logger.info("Clicked begin exper...
def sign_up(self)
Accept HIT, give consent and start experiment. This uses Selenium to click through buttons on the ad, consent, and instruction pages.
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logger.info("Complete questionnaire.") difficulty = self.driver.find_element_by_id("difficulty") difficulty.value = "4" engagement = self.driver.find_element_by_id("engagement") engagement.value = "3"
def complete_questionnaire(self)
Complete the standard debriefing form. Answers the questions in the base questionnaire.
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try: logger.info("Bot player signing off.") feedback = WebDriverWait(self.driver, 20).until( EC.presence_of_element_located((By.ID, "submit-questionnaire")) ) self.complete_questionnaire() feedback.click() logger.in...
def sign_off(self)
Submit questionnaire and finish. This uses Selenium to click the submit button on the questionnaire and return to the original window.
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url = self.driver.current_url p = urllib.parse.urlparse(url) complete_url = "%s://%s/%s?participant_id=%s" complete_url = complete_url % (p.scheme, p.netloc, status, self.participant_id) self.driver.get(complete_url) logger.info("Forced call to %s: %s" % (status,...
def complete_experiment(self, status)
Sends worker status ('worker_complete' or 'worker_failed') to the experiment server.
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try: self.sign_up() self.participate() if self.sign_off(): self.complete_experiment("worker_complete") else: self.complete_experiment("worker_failed") finally: self.driver.quit()
def run_experiment(self)
Sign up, run the ``participate`` method, then sign off and close the driver.
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self.sign_up() self.participate() if self.sign_off(): self.complete_experiment("worker_complete") else: self.complete_experiment("worker_failed")
def run_experiment(self)
Runs the phases of interacting with the experiment including signup, participation, signoff, and recording completion.
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self.log("Bot player signing up.") self.subscribe_to_quorum_channel() while True: url = ( "{host}/participant/{self.worker_id}/" "{self.hit_id}/{self.assignment_id}/" "debug?fingerprint_hash={hash}&recruiter=bots:{bot_name}".fo...
def sign_up(self)
Signs up a participant for the experiment. This is done using a POST request to the /participant/ endpoint.
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self.log("Bot player completing experiment. Status: {}".format(status)) while True: url = "{host}/{status}?participant_id={participant_id}".format( host=self.host, participant_id=self.participant_id, status=status ) try: result...
def complete_experiment(self, status)
Record worker completion status to the experiment server. This is done using a GET request to the /worker_complete or /worker_failed endpoints.
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from dallinger.experiment_server.sockets import chat_backend self.log("Bot subscribing to quorum channel.") chat_backend.subscribe(self, "quorum")
def subscribe_to_quorum_channel(self)
In case the experiment enforces a quorum, listen for notifications before creating Partipant objects.
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while True: data = { "question": "questionnaire", "number": 1, "response": json.dumps(self.question_responses), } url = "{host}/question/{self.participant_id}".format( host=self.host, self=self ...
def complete_questionnaire(self)
Complete the standard debriefing form. Answers the questions in the base questionnaire.
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try: return bool(self.mturk.get_account_balance()) except NoCredentialsError: raise MTurkServiceException("No AWS credentials set!") except ClientError: raise MTurkServiceException("Invalid AWS credentials!") except Exception as ex: ...
def check_credentials(self)
Verifies key/secret/host combination by making a balance inquiry
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ISO8601 = "%Y-%m-%dT%H:%M:%SZ" notification_version = "2006-05-05" API_version = "2014-08-15" data = { "AWSAccessKeyId": self.aws_key, "HITTypeId": hit_type_id, "Notification.1.Active": "True", "Notification.1.Destination": url, ...
def set_rest_notification(self, url, hit_type_id)
Set a REST endpoint to recieve notifications about the HIT The newer AWS MTurk API does not support this feature, which means we cannot use boto3 here. Instead, we make the call manually after assembling a properly signed request.
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reward = str(reward) duration_secs = int(datetime.timedelta(hours=duration_hours).total_seconds()) hit_type = self.mturk.create_hit_type( Title=title, Description=description, Reward=reward, AssignmentDurationInSeconds=duration_secs, ...
def register_hit_type( self, title, description, reward, duration_hours, keywords, qualifications )
Register HIT Type for this HIT and return the type's ID, which is required for creating a HIT.
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quals = [ { "QualificationTypeId": PERCENTAGE_APPROVED_REQUIREMENT_ID, "Comparator": "GreaterThanOrEqualTo", "IntegerValues": [approve_requirement], "RequiredToPreview": True, } ] if restrict_to_usa:...
def build_hit_qualifications(self, approve_requirement, restrict_to_usa, blacklist)
Translate restrictions/qualifications to boto Qualifications objects @blacklist is a list of names for Qualifications workers must not already hold in order to see and accept the HIT.
2.101465
2.039411
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try: response = self.mturk.create_qualification_type( Name=name, Description=description, QualificationTypeStatus=status ) except Exception as ex: if "already created a QualificationType with this name" in str(ex): raise Duplic...
def create_qualification_type(self, name, description, status="Active")
Create a new qualification Workers can be scored for.
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