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We have iterated on how","we do this a few times and have landed in a much better","place than we started.","import asyncio","import copy","import datetime","import inspect","import json","import aiohttp.client_exceptions","import jsonschema","import numbers","import os","import pmss","import queue","import time","import aiohttp","import learning_observer.util as util","import learning_observer.synthetic_student_data as synthetic_student_data","import learning_observer.stream_analytics.helpers as sa_helpers","import learning_observer.kvs as kvs","import learning_observer.runtime","import learning_observer.paths as paths","import learning_observer.auth","import learning_observer.constants as constants","import learning_observer.rosters as rosters","import learning_observer.util","from learning_observer.log_event import debug_log, log_event, close_logfile","import learning_observer.module_loader","import learning_observer.communication_protocol.executor","import learning_observer.communication_protocol.integration","import learning_observer.communication_protocol.query","import learning_observer.communication_protocol.schema","import learning_observer.settings","pmss.register_field("," name='dangerously_allow_insecure_dags',"," type=pmss.pmsstypes.TYPES.boolean,"," description='Data can be queried either by system defined execution DAGs '\\"," '(directed acyclic graphs) or user created execution DAGs. '\\"," 'This is useful for developing new system queries, but should not '\\"," 'be used in production.',"," default=False",")"," name='logging_enabled',"," description='Log dashboard sessions to .dashboard.log files',","def timelist_to_seconds(timelist):"," '''"," [5, \"seconds\"] ==> 5"," [5, \"minutes\"] ==> 300"," etc."," if timelist is None:"," return None"," if len(timelist) != 2:"," raise Exception(\"Time lists should have number and units\")"," if not isinstance(timelist[0], numbers.Number):"," raise Exception(\"First element should be a number\")"," if not isinstance(timelist[1], str):"," raise Exception(\"Second element should be a string\")"," units = {"," \"seconds\": 1,"," \"minutes\": 60,"," \"hours\": 3600"," }"," if timelist[1] not in units:"," raise Exception(\"Second element should be a time unit\")"," return timelist[0] * units[timelist[1]]","@learning_observer.auth.teacher","async def generic_dashboard(request):"," We would like to be able to support pretty arbitrary dashboards,"," where the client asks for a subset of data and we send it."," This is probably the wrong abstraction, but our goal is to allows"," arbitrary dashboards client-side."," We're figuring out what we're doing. This view is behind a feature"," flag, since we have no clear idea."," Our goal is to be able to set up appropriate queries to deliver"," pretty generic aggregations."," The current model has the client ask for specific data, and for us"," to send it back. However, the concept of doing this more server-side"," makes a lot of sense too."," GraphQL looks super-relevant. Implementing it is a big lift, and"," it might need to be slightly adapted to the context."," The test case for this is in `scripts/generic_websocket_dashboard.py`"," # We never send data more than twice per second, because performance."," MIN_REFRESH = 0.5"," teacherkvs = kvs.KVS()"," ws = aiohttp.web.WebSocketResponse()"," await ws.prepare(request)"," subscriptions = queue.PriorityQueue()"," def timeout():"," '''"," Calculate the time until we need to send the next message."," if subscriptions.empty():"," return None"," else:"," Δt = subscriptions.queue[0][0] - time.time()"," return Δt"," count = [0]"," def counter():"," count[0] += 1"," return count[0]"," running = False # Are we streaming data?"," next_subscription = None # What is the next item to send?"," while True:"," # Wait for the next message, with an upper bound of when we"," # need to get back to the client."," try:"," if subscriptions.empty() or not running:"," msg = await ws.receive()"," else:"," msg = await ws.receive(timeout=timeout())"," debug_log(\"msg\", msg)"," if msg.type == aiohttp.WSMsgType.CLOSE:"," debug_log(\"Socket closed!\")"," # By this point, the client is long gone, but we want to"," # return something to avoid confusing middlewares."," return aiohttp.web.Response(text=\"This never makes it back....\")"," elif msg.type == aiohttp.WSMsgType.TEXT:"," message = json.loads(msg.data)"," debug_log(message)"," if message['action'] == 'subscribe':"," subscriptions.put(["," time.time(),"," {"," 'keys': message['keys'],"," 'ids': [sa_helpers.make_key_from_json(key) for key in message['keys']],"," 'refresh': timelist_to_seconds(message['refresh']),"," 'subscription_id': message.get('subscription_id', counter())"," }"," ])"," elif message['action'] == 'start':"," await ws.send_json("," {'subscribed': [i[1] for i in subscriptions.queue]}"," )"," running = True"," elif message['action'] == 'hangup':"," break"," # If we didn't get a message before we need to send one,"," # just keep going."," except asyncio.exceptions.TimeoutError:"," pass"," if ws.closed:"," debug_log(\"Socket closed\")"," return aiohttp.web.Response(text=\"This never makes it back to the client....\")"," # Now, we send any messages we need to"," while timeout() is not None and timeout() < 0:"," response = {}"," t, s = subscriptions.get()"," for key, json_key in zip(s['ids'], s['keys']):"," response[key] = await teacherkvs[key]"," if isinstance(response[key], dict):"," response[key]['key'] = json_key"," response['subscription_id'] = s['subscription_id']"," if 'refresh' in s and s['refresh'] is not None:"," subscriptions.put([time.time() + max(s['refresh'], MIN_REFRESH), s])"," await ws.send_json(response)"," return aiohttp.web.Response(text=\"This should never happen....\")","def fetch_student_state("," course_id, module_id,"," agg_module, roster,"," default_data={}","):"," This closure will compile student data from a roster of students."," Closure remembers course roster, and redis KVS."," Reopening connections to redis every few seconds otherwise would"," run us out of file pointers."," async def student_state_fetcher():"," Poll redis for student state. This should be abstracted out into a"," generic aggregator API, much like we have a reducer on the"," incoming end."," students = []"," for student in roster:"," student_state = {"," # We're copying Google's roster format here."," #"," # It's imperfect, and we may want to change it later, but it seems"," # better than reinventing our own standard."," # We don't copy verbatim, since we do want to filter down any"," # extra stuff."," 'profile': {"," 'name': {"," 'full_name': student['profile']['name']['full_name']"," },"," 'photo_url': student['profile'].get('photo_url', ''),"," 'email_address': student['profile'].get('email_address', ''),"," 'external_ids': student['profile'].get('external_ids', []),"," },"," \"course_id\": course_id,"," constants.USER_ID: student[constants.USER_ID], # TODO: Encode?"," }"," student_state.update(default_data)"," # TODO/HACK: Only do this for Google data. Make this do the right thing"," # for synthetic data."," google_id = student[constants.USER_ID]"," if google_id.isnumeric():"," student_id = learning_observer.auth.google_id_to_user_id(google_id)"," student_id = google_id"," # TODO: Evaluate whether this is a bottleneck."," #"," # mget is faster than ~50 gets. But some online benchmarks show both taking"," # microseconds, to where it might not matter."," # For most services (e.g. a SQL database), this would be a huge bottleneck. redis might"," # be fast enough that it doesn't matter? Dunno."," for sa_module in agg_module['sources']:"," key = sa_helpers.make_key("," sa_module,"," {sa_helpers.KeyField.STUDENT: student_id},"," sa_helpers.KeyStateType.EXTERNAL)"," data = await teacherkvs[key]"," # debug_log(key, data) # <-- Useful, but a lot of stuff is spit out."," if data is not None:"," student_state[sa_helpers.fully_qualified_function_name(sa_module)] = data"," cleaner = agg_module.get(\"cleaner\", lambda x: x)"," students.append(cleaner(student_state))"," return students"," return student_state_fetcher","def find_course_aggregator(module_id):"," Find a course aggregator based on a `module_id`"," * This should move to the modules package."," * We should support having a list of these"," course_aggregator_module = None"," default_data = {}"," course_aggregator_candidates = learning_observer.module_loader.course_aggregators()"," for candidate_module in course_aggregator_candidates:"," if course_aggregator_candidates[candidate_module]['short_id'] == module_id:"," # TODO: We should support multiple modules here."," if course_aggregator_module is not None:"," raise aiohttp.web.HTTPNotImplemented(text=\"Duplicate module: \" + candidate_module)"," course_aggregator_module = course_aggregator_candidates[candidate_module]"," default_data = course_aggregator_module.get('default-data', {})"," return (course_aggregator_module, default_data)","async def websocket_dashboard_view(request):"," Handler to aggregate student data, and serve it back to the client"," every half-second to second or so."," TODO remove this method. This is the old way of passing data from"," the server to the client (pre communication protocol)."," # Extract parameters from the URL"," #"," # Note that we need to do auth/auth. At present, we always want a"," # course ID, even for a single student. If a teacher requests a"," # students' data, we want to make sure that sutdnet is in that"," # teacher's course."," course_id = request.rel_url.query.get(\"course\")"," # module_id should support a list, perhaps?"," module_id = request.rel_url.query.get(\"module\")"," # For student dashboards"," student_id = request.rel_url.query.get(\"student\", None)"," # For individual resources"," resource_id = request.rel_url.query.get(\"resource\", None)"," # How often do we refresh? Default is 0.5 seconds"," refresh = 0.5 # request.match_info.get('refresh', 0.5)"," # Find the right module"," course_aggregator_module, default_data = find_course_aggregator(module_id)"," if course_aggregator_module is None:"," debug_log(\"Bad module: \", module_id)"," available = learning_observer.module_loader.course_aggregators()"," debug_log(\"Available modules: \", [available[key]['short_id'] for key in available])"," raise aiohttp.web.HTTPBadRequest(text=\"Invalid module: {}\".format(module_id))"," # We need to receive to detect web socket closures."," ws = aiohttp.web.WebSocketResponse(receive_timeout=0.1)"," roster = await rosters.courseroster(request, course_id)"," # If we're grabbing data for just one student, we filter the"," # roster down. This pathway ensures we only serve data for"," # students on a class roster. I'm not sure this API is"," # right. Should we have a different URL? A set of filters? A lot"," # of that is TBD. Once nice property about this is that we have"," # the same data format for 1 student as for a classroom of"," # students."," if student_id is not None:"," roster = [r for r in roster if r[constants.USER_ID] == student_id]"," # Grab student list, and deliver to the client"," student_state_fetcher = fetch_student_state("," course_id,"," module_id,"," course_aggregator_module,"," roster,"," default_data"," )"," aggregator = course_aggregator_module.get('aggregator', lambda x: {})"," async_aggregator = inspect.iscoroutinefunction(aggregator)"," args_aggregrator = inspect.getfullargspec(aggregator)[0]"," client_data = None"," runtime = learning_observer.runtime.Runtime(request)"," sd = await student_state_fetcher()"," data = {"," \"student_data\": sd # Per-student list"," }"," # Prep the aggregator function to be called."," # Determine if we should pass the client_data in or not/async capability"," # Currently options is a list of strings (what we want returned)"," # In the futuer this should be some form of communication protocol"," if 'options' in args_aggregrator:"," agg = aggregator(runtime, sd, client_data)"," agg = aggregator(runtime, sd)"," if async_aggregator:"," agg = await agg"," data.update(agg)"," await ws.send_json(data)"," # First try to receive a json, if you receive something that can't be json'd"," # check for closing, otherwise timeout will fire"," # This is kind of an awkward block, but aiohttp doesn't detect"," # when sockets close unless they receive data. We try to receive,"," # and wait for an exception or a CLOSE message."," client_data = await ws.receive_json()"," except (TypeError, ValueError):"," if (await ws.receive()).type == aiohttp.WSMsgType.CLOSE:"," # This is the normal code path"," await asyncio.sleep(0.5)"," # This never gets called, since we return above"," debug_log(\"Socket closed. This should never appear, however.\")"," return aiohttp.web.Response(text=\"This never makes it back....\")","# We use following functions to return an error message about the requested","# DAG back to the user.","async def dag_not_found(dags):"," if type(dags) == set:"," return f'Execution DAG{\"s\" if len(dags) > 1 else \"\"}, {\", \".join(dags)}, not found on system.'"," return f'Execution DAG, {dags}, not found on system.'","async def dag_incorrect_format(e):"," return f'Submitted Execution DAG not in valid format: {e}'","async def dag_unsupported_type(t):"," return f'Unsupported type, {t}, for execution_dag parameter.'","async def dag_submission_not_allowed():"," return 'Submitting fully formed DAGs is not supported.'","def extract_namespaced_dags(dag, deps=None):"," '''This will return any dependencies on other dags"," (in other words, variables of the form namespace.variable which are not local)."," If it finds something like writing_observer.docs, it will add that to a set,"," and return that set of dependencies."," This is so we can have a complete list of DAG nodes we might need to reference."," We can take the keys from the execution_dag dictionary, but we also add all of"," the references to DAGs in other modules."," # TODO move this function to the communication protocol directory"," if deps is None:"," deps = set()"," if isinstance(dag, dict):"," if dag.get('dispatch') == learning_observer.communication_protocol.query.DISPATCH_MODES.VARIABLE:"," variable_name = dag['variable_name']"," if '.' in variable_name:"," deps.add(variable_name.split('.')[0])"," for key in dag:"," extract_namespaced_dags(dag[key], deps)"," return deps","def fully_qualify_names_with_default_namespace(dag, namespace_prefix):"," '''In order to avoid naming conflicts, and to have consistency, this will append"," the default namespace to all variables without a namespace prefix."," For example, if the prefix is writing_observer, and we run into a node `docs`,"," this node will be renamed to `writing_observer.docs`."," TODO If a node already has a prefix (e.g. dynamic_assessment.foo), it will remain unchanged."," dag['variable_name'] = f'{namespace_prefix}.{dag[\"variable_name\"]}'"," fully_qualify_names_with_default_namespace(dag[key], namespace_prefix)"," return dag","async def dispatch_named_execution_dag(dag_name):"," '''This method takes a Named Query and fetches it from the"," available DAGs on the system."," available_dags = learning_observer.module_loader.execution_dags()"," query = None"," try:"," query = available_dags[dag_name]"," except KeyError:"," debug_log(await dag_not_found(dag_name))"," finally:"," return query","async def dispatch_defined_execution_dag(dag):"," '''This method confirms that an Open Queries provided by the user"," are 1) allowed to be submitted and 2) adhere to the appropriate"," JSON structure."," if not learning_observer.settings.pmss_settings.dangerously_allow_insecure_dags():"," debug_log(await dag_submission_not_allowed())"," learning_observer.communication_protocol.schema.prevalidate_schema(dag)"," query = dag"," except jsonschema.ValidationError as e:"," debug_log(await dag_incorrect_format(e))","DAG_DISPATCH = {dict: dispatch_defined_execution_dag, str: dispatch_named_execution_dag}","async def _handle_dependent_dags(query):"," Handles dependent DAGs and ensures all dependencies are present."," NOTE dependent dags only work for on a single level dependency"," TODO allow multiple layers of dependency among dags"," execution_dags = learning_observer.module_loader.execution_dags()"," dependent_dags = extract_namespaced_dags(query['execution_dag'])"," missing_dags = dependent_dags - execution_dags.keys()"," if missing_dags:"," # TODO we ought to handle this as an error"," debug_log(await dag_not_found(missing_dags))"," return"," for dep in dependent_dags:"," # Copy and qualify names for dependent DAG"," dep_dag = copy.deepcopy(execution_dags[dep]['execution_dag'])"," prefixed_dag = fully_qualify_names_with_default_namespace(dep_dag, dep)"," # Merge dependent DAG with current query"," query['execution_dag'] = {**query['execution_dag'], **{f'{dep}.{k}': v for k, v in prefixed_dag.items()}}"," return query","async def _prepare_dag_as_generator(client_query, query, target, request):"," Prepares the query for execution, sets up client parameters and runtime."," target_exports = [target]"," # Prepare the DAG execution function"," query_func = learning_observer.communication_protocol.integration.prepare_dag_execution(query, target_exports)"," # Handle client parameters and runtime setup"," client_parameters = client_query.get('kwargs', {}).copy()"," client_parameters['runtime'] = runtime"," # Execute the query and return the first value from the generator"," generator_dictionary = await query_func(**client_parameters)"," return next(iter(generator_dictionary.values()))","async def _create_dag_generator(client_query, target, request):"," dag = client_query['execution_dag']"," if type(dag) not in DAG_DISPATCH:"," debug_log(await dag_unsupported_type(type(dag)))"," query = await DAG_DISPATCH[type(dag)](dag)"," if query is None:"," # the DAG_DISPATCH prints a more detailed message about why"," debug_log('The submitted query failed.')"," query = await _handle_dependent_dags(query)"," return await _prepare_dag_as_generator(client_query, query, target, request)","def _find_student_or_resource(d):"," '''HACK the communication protocol does not provide an easy way to"," determine which student or student/document pair is being updated."," The protocol does include a provenance key with each item that includes"," the history of what occured within the protocol."," In production settings, the provenance should be removed from the"," user output. However, this method assumes that the provenance is still"," around."," This method digs into the provenance and extracts the corresponding"," student or student/document id. This information is used to tell the"," client which items in their data-tree to update (i.e. update Billy's"," History Essay with this new information)."," if not isinstance(d, dict):"," return []"," if 'provenance' in d:"," provenance = d['provenance']"," output = []"," if 'STUDENT' in provenance:"," output.append('students')"," output.append(str(provenance['STUDENT']['user_id']))"," if 'RESOURCE' in provenance:"," if 'doc_id' in provenance['RESOURCE']:"," output.append('documents')"," output.append(str(provenance['RESOURCE']['doc_id']))"," if 'assignment_id' in provenance['RESOURCE']:"," output.append('assignments')"," output.append(str(provenance['RESOURCE']['assignment_id']))"," if output:"," return output"," return _find_student_or_resource(provenance)"," return []","DASHBOARD_PROTOCOL_LOG_COUNTER = 0","DASHBOARD_PROTOCOL_LOG_LOCK = asyncio.Lock()","async def websocket_dashboard_handler(request):"," Handles client requests through a WebSocket, executes requested queries,"," and sends back the results."," Args:"," request: aiohttp request object."," Returns:"," aiohttp web response."," active_user = await learning_observer.auth.get_active_user(request)"," user_context = {"," 'user_id': (active_user or {}).get('user_id'),"," 'user_email': (active_user or {}).get('email'),"," 'user_role': (active_user or {}).get('role'),"," user_domain = learning_observer.util.get_domain_from_email(user_context['user_email'])"," dashboard_protocol_logging_enabled = learning_observer.settings.pmss_settings.logging_enabled(types=['dashboard_settings'], attributes={'domain': user_domain})"," global DASHBOARD_PROTOCOL_LOG_COUNTER"," async with DASHBOARD_PROTOCOL_LOG_LOCK:"," current_counter = DASHBOARD_PROTOCOL_LOG_COUNTER"," DASHBOARD_PROTOCOL_LOG_COUNTER += 1"," # TODO this is similar to our incoming student event log file names"," # this ought to be abstracted to a helper function"," protocol_log_filename = \"{timestamp}-{user:-<15}-{remote:-<15}-{counter:0>10}-{pid}.dashboard\".format("," timestamp=datetime.datetime.utcnow().isoformat(),"," user=str(user_context.get('user_id') or 'UNKNOWN')[:15],"," remote=str(request.remote or '')[:15],"," counter=current_counter,"," pid=os.getpid(),"," is_protocol_log_closed = False"," def close_protocol_log():"," if not dashboard_protocol_logging_enabled:"," return"," nonlocal is_protocol_log_closed"," if not is_protocol_log_closed:"," try:"," close_logfile(protocol_log_filename)"," finally:"," is_protocol_log_closed = True"," has_logged_connection_closure = False"," lock_field_event = {"," 'event': 'lock_fields',"," 'fields': {"," 'user_id': user_context.get('user_id'),"," 'user_email': user_context.get('user_email'),"," 'user_role': user_context.get('user_role'),"," 'remote': request.remote,"," 'request_path': str(request.rel_url)"," if dashboard_protocol_logging_enabled:"," log_event(lock_field_event, filename=protocol_log_filename)"," def _log_protocol_event(event, **extra):"," Emit structured logs describing websocket activity."," nonlocal has_logged_connection_closure # ensure we mutate the outer flag"," payload = {"," 'event': event,"," 'timestamp': str(datetime.datetime.now()),"," payload.update(extra)"," log_event(payload, filename=protocol_log_filename)"," except TypeError:"," # Fall back to logging the raw payload if serialization fails."," log_event({"," 'event_type': 'communication_protocol_event',"," 'event': event,"," 'serialization_failed': True,"," 'payload_repr': repr(payload),"," }, filename=protocol_log_filename)"," if event == 'connection_closed':"," has_logged_connection_closure = True"," def _close_connection_and_cleanup(reason: str):"," \"\"\""," Idempotently log connection closure and close the protocol log file."," if not has_logged_connection_closure:"," _log_protocol_event('connection_closed', reason=reason)"," close_protocol_log()"," def _create_query_summary_for_logging(query):"," Provide a compact description of the query for log aggregation."," summary = {}"," for key, value in (query or {}).items():"," if not isinstance(value, dict):"," summary[key] = {'non_dict_value': repr(value)}"," continue"," execution_dag = value.get('execution_dag')"," summary[key] = {"," 'target_exports': value.get('target_exports', []),"," 'execution_dag_type': type(execution_dag).__name__,"," 'execution_dag_name': execution_dag if isinstance(execution_dag, str) else None,"," 'kwargs': value.get('kwargs', {}),"," return summary"," _log_protocol_event('connection_opened')"," ws = aiohttp.web.WebSocketResponse(receive_timeout=0.3)"," client_query = None"," previous_client_query = None"," pending_updates = []"," pending_updates_lock = asyncio.Lock()"," background_tasks = set()"," async def _queue_update(update):"," '''Send an update to our batch"," async with pending_updates_lock:"," pending_updates.append(update)"," async def _send_pending_updates_to_client():"," '''If our batch has any items, send them to the client"," then wait before checking again."," while True:"," async with pending_updates_lock:"," if pending_updates:"," try:"," await ws.send_json(pending_updates)"," pending_updates.clear()"," except aiohttp.web_ws.WebSocketError:"," break"," except aiohttp.client_exceptions.ClientConnectionResetError:"," if ws.closed:"," break"," # TODO this ought to be pulled from somewhere"," await asyncio.sleep(1)"," async def _execute_dag(dag_query, target, params):"," '''This method creates the DAG generator and drives it."," Once finished, we wait until rescheduling it. If the parameters"," change, we exit before creating and driving the generator."," if params != client_query:"," # the params are different and we should stop this generator"," # Create DAG generator and drive"," generator = await _create_dag_generator(dag_query, target, request)"," await _drive_generator(generator, dag_query['kwargs'], target=target)"," # Handle rescheduling the execution of the DAG for fresh data"," # TODO add some way to specify specific endpoint delays"," dag_delay = dag_query['kwargs'].get('rerun_dag_delay', 10)"," if dag_delay < 0:"," # if dag_delay is negative, we skip repeated execution"," await asyncio.sleep(dag_delay)"," await _execute_dag(dag_query, target, params)"," async def _drive_generator(generator, dag_kwargs, target=None):"," '''For each item in the generator, this method creates"," an update to send to the client."," async for item in generator:"," scope = _find_student_or_resource(item)"," update_path = \".\".join(scope)"," if 'option_hash' in dag_kwargs and target is not None:"," item[f'option_hash_{target}'] = dag_kwargs['option_hash']"," # TODO this ought to be flag - we might want to see the provenance in some settings"," item_without_provenance = learning_observer.communication_protocol.executor.strip_provenance(item)"," update_payload = {'op': 'update', 'path': update_path, 'value': item_without_provenance}"," _log_protocol_event("," 'update_enqueued',"," payload=update_payload,"," target_export=target"," )"," await _queue_update(update_payload)"," send_batches_task = asyncio.create_task(_send_pending_updates_to_client())"," background_tasks.add(send_batches_task)"," send_batches_task.add_done_callback(background_tasks.discard)"," received_params = await ws.receive_json()"," client_query = received_params"," _log_protocol_event("," 'query_received',"," query_summary=_create_query_summary_for_logging(client_query),"," )"," # TODO we should validate the client_query structure"," except aiohttp.client_exceptions.WSMessageTypeError as e:"," # Check if this was a close message"," if ws.closed:"," _close_connection_and_cleanup('websocket_closed_with_message_error')"," # Log the unexpected message type and continue"," _log_protocol_event('unexpected_message_type', error=str(e))"," except (TypeError, ValueError) as e:"," 'json_parse_error', "," error_type=type(e).__name__,"," error_message=str(e)"," _close_connection_and_cleanup('websocket_closed_during_json_parse')"," except asyncio.exceptions.TimeoutError:"," # this is the normal path of the code"," # if the client_query hasn't been set, keep waiting for it"," if client_query is None:"," continue"," _close_connection_and_cleanup('websocket_closed_flag')"," if client_query != previous_client_query:"," previous_client_query = copy.deepcopy(client_query)"," # HACK even though we can specify multiple targets for a"," # single DAG, this creates a new DAG for each. This eventually"," # allows us to specify different parameters (such as the"," # reschedule timeout)."," for k, v in client_query.items():"," for target in v.get('target_exports', []):"," execute_dag_task = asyncio.create_task(_execute_dag(v, target, client_query))"," background_tasks.add(execute_dag_task)"," execute_dag_task.add_done_callback(background_tasks.discard)"," # Various ways we might encounter an exception"," except asyncio.CancelledError:"," _close_connection_and_cleanup('server_cancelled')"," except (aiohttp.web_ws.WebSocketError, "," aiohttp.client_exceptions.ClientConnectionResetError,"," ConnectionResetError) as e:"," _log_protocol_event("," 'connection_closed_gracefully', "," exception_type=type(e).__name__, "," detail=str(e))"," _close_connection_and_cleanup('client_disconnected')"," except Exception as e:"," 'handler_exception', "," detail=repr(e))"," _close_connection_and_cleanup('server_exception')"," # Ensure all background tasks are stopped cleanly"," for t in list(background_tasks):"," t.cancel()"," if background_tasks:"," await asyncio.gather(*background_tasks, return_exceptions=True)"," "," # Close WebSocket gracefully if not already closed"," if not ws.closed:"," await ws.close()"," except Exception:"," pass"," return aiohttp.web.Response()","# Obsolete code -- we should put this back in after our refactor. Allows us to use","# dummy data","# @learning_observer.auth.teacher","# async def static_student_data_handler(request):","# '''","# Populate static / mock-up dashboard with static fake data","# # module_id = request.match_info['module_id']","# # course_id = int(request.match_info['course_id'])","# return aiohttp.web.json_response({","# \"new_student_data\": json.load(open(paths.static(\"student_data.js\")))","# })","# async def generated_student_data_handler(request):","# Populate static / mock-up dashboard with static fake data dynamically","# \"new_student_data\": synthetic_student_data.synthetic_data()","message",[1369,1370,1371],{"_365":46,"_46":1376},{"_365":1373,"_685":686,"_692":1374,"_693":1375},{"_365":46,"_46":1372},"\n\n**Testing**\n* ⚠️ _Not run (not requested)_","repo_file_citation",621,626,"**Summary**\n* Stringified user and remote identifiers before truncating dashboard protocol log filenames to prevent slicing errors for non-string values.","pr","pr_title","Handle non-string dashboard log identifiers","pr_message","## Summary\n- ensure dashboard protocol log filenames stringify user identifiers before truncation\n- stringify remote identifiers as well to avoid slicing errors on non-string values\n\n## Testing\n- not run","output_diff",{"_93":1382,"_1385":1386,"_129":130,"_1387":-5,"_288":1388,"_1389":1390,"_1391":354,"_1392":1393,"_1394":1393,"_1395":1396,"_1397":-5},"pre_apply_patch","repo_id","/workspace/writing_observer","preapply_patch_base_commit_sha","diff --git a/learning_observer/learning_observer/dashboard.py b/learning_observer/learning_observer/dashboard.py\nindex fc9a909ad53558f9720a53d009721a3266d45f7c..a3865e8a814534086c4477be66367b2b4db566ec 100644\n--- a/learning_observer/learning_observer/dashboard.py\n+++ b/learning_observer/learning_observer/dashboard.py\n@@ -598,52 +598,52 @@ async def websocket_dashboard_handler(request):\n \n Args:\n request: aiohttp request object.\n \n Returns:\n aiohttp web response.\n '''\n active_user = await learning_observer.auth.get_active_user(request)\n user_context = {\n 'user_id': (active_user or {}).get('user_id'),\n 'user_email': (active_user or {}).get('email'),\n 'user_role': (active_user or {}).get('role'),\n }\n user_domain = learning_observer.util.get_domain_from_email(user_context['user_email'])\n dashboard_protocol_logging_enabled = learning_observer.settings.pmss_settings.logging_enabled(types=['dashboard_settings'], attributes={'domain': user_domain})\n \n global DASHBOARD_PROTOCOL_LOG_COUNTER\n async with DASHBOARD_PROTOCOL_LOG_LOCK:\n current_counter = DASHBOARD_PROTOCOL_LOG_COUNTER\n DASHBOARD_PROTOCOL_LOG_COUNTER += 1\n \n # TODO this is similar to our incoming student event log file names\n # this ought to be abstracted to a helper function\n protocol_log_filename = \"{timestamp}-{user:-<15}-{remote:-<15}-{counter:0>10}-{pid}.dashboard\".format(\n timestamp=datetime.datetime.utcnow().isoformat(),\n- user=(user_context.get('user_id') or 'UNKNOWN')[:15],\n- remote=(request.remote or '')[:15],\n+ user=str(user_context.get('user_id') or 'UNKNOWN')[:15],\n+ remote=str(request.remote or '')[:15],\n counter=current_counter,\n pid=os.getpid(),\n )\n \n is_protocol_log_closed = False\n \n def close_protocol_log():\n if not dashboard_protocol_logging_enabled:\n return\n nonlocal is_protocol_log_closed\n if not is_protocol_log_closed:\n try:\n close_logfile(protocol_log_filename)\n finally:\n is_protocol_log_closed = True\n \n has_logged_connection_closure = False\n lock_field_event = {\n 'event': 'lock_fields',\n 'fields': {\n 'user_id': user_context.get('user_id'),\n 'user_email': user_context.get('user_email'),\n 'user_role': user_context.get('user_role'),\n 'remote': request.remote,\n 'request_path': str(request.rel_url)\n","external_storage_diff",{"_1398":1399,"_1400":-5},"files_modified","lines_added",2,"lines_removed","commit_message","Handle non-string user info in dashboard log filenames","additional_parent_commit_shas","file_id","file_0000000024b871f793e8797bcd21a4f6","ttl",{"_93":289,"_42":85,"_97":289,"_1403":1404,"_1405":1406,"_1407":1408,"_133":-5,"_120":1409},[84],"input_items",[1426,1427,1428,1429],"external_post_config",{"_1410":1411,"_231":165,"_1412":269,"_242":-5,"_1385":225,"_1413":-5,"_1414":-5,"_1415":-5,"_1416":1417,"_1418":-5,"_1419":-5,"_1420":1421,"_1422":15,"_1423":59,"_1424":54,"_1425":15},"user_model_slug","slug",1762182334.729494,"installation_id",69695576,"pr_number","gitlab_service_account_project_id","review_trigger","comment_id","comment_type","issue","pr_write_guard_token","pending_pr_reaction_id","pending_comment_reaction_id",312119438,"comment_if_no_findings","comment_on_error","share_url","is_parallel_review",{"_93":1367,"_97":289,"_348":1440},{"_276":277,"_278":168,"_1437":282,"_1438":130,"_285":-5,"_93":1439},{"_93":1430,"_278":1434,"_685":686,"_1432":1435,"_1433":1436},{"_93":1430,"_278":1431,"_685":-5,"_1432":-5,"_1433":-5},"pull_request_comment","\n### 💡 Codex Review\n\nHere are some automated review suggestions for this pull request.\n \n\n

ℹ️ About Codex in GitHub

","side","line","**_{_{![P1 Badge](https://img.shields.io/badge/P1-orange?style=flat)}} Slice user identifier after converting to string**\n\nThe log filename uses `(user_context.get('user_id') or 'UNKNOWN')[:15]` to truncate the user identifier before writing a dashboard log. `user_id` comes from the session and is often an integer, so attempting to slice it raises `TypeError: 'int' object is not subscriptable` and aborts the websocket handler before any work is done. Convert the identifier to `str()` (and likewise any other non‑string values) before truncating so integer IDs don’t crash the handler.\n\nUseful? 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