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# Broker
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The broker is a central part of the ReCodEx backend that directs almost all
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communication. It was designed to properly maintain heavy load of messages
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by making only small actions in main communication thread and asynchronous
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execution of other actions.
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## Description
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The broker's responsibilites are:
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- allowing workers to register themselves and keep track of their capabilities
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- tracking status of each worker and handle cases when they crash
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- accepting assignment evaluation requests from the frontend and forwarding them
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to workers
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- receiving job status information from workers and forward it to the frontend
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either via monitor or REST API
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- notifying the frontend of errors in the backend
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## Architecture
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The broker uses our ZeroMQ _reactor_ to bind events on sockets to handler classes.
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There are currently two handlers -- one that handles the main functionality and
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another one that sends status reports to the REST API asynchronously so that the
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broker does not have to wait for HTTP requests which can take a lot of time,
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especially when some kind of error happens on the server.
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### Worker registry
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The `worker_registry` class is used to store information about workers, their
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status and the jobs in their queue. It can look up a worker using the headers
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received with a request (a worker is considered suitable if and only if it
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satisfies all the headers). The headers are arbitrary key-value pairs, which
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are checked for equality by the broker. However, some headers require special
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handling, namely `threads`, for which we check if the value in the request is
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lesser than or equal to the value advertised by the worker, and `hwgroup`, for
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which we support requesting one of multiple hardware groups by listing multiple
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names separated with a `|` symbol (e.g. `group_1|group_2|group_3`.
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The registry also implements a basic load balancing algorithm -- the
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workers are contained in a queue and whenever one of them receives a job, it is
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moved to its end, which makes it less likely to receive another job soon.
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When a worker is assigned a job, it will not be assigned another one until we
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receive a `done` message from it.
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### Error handling
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**Job failure** -- we recognize two ways a job can fail -- an internally and
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externally. An internal failure is the worker's fault -- for example when it
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cannot download a file needed for the evaluation for some reason. An external
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error is for example when the job configuration is malformed. Note that we do not
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consider a student entering an incorrect solution a job failure.
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Jobs that failed internally are reassigned until a limit on the amount of
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reassingments (configurable with the `max_request_failures` option) is reached.
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External failures are reported to the frontend immediately.
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**Worker failure** -- when a worker crash is detected, we attempt to reassign its
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current job and also all the jobs from its queue. Because the current job might
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be the reason of the crash, its reassignment is also counted towards the
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`max_request_failures` limit (the counter is shared). If there is no worker that
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could process a job (i.e. it cannot be reassigned), the job is reported as
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failed to the frontend via REST API.
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**Broker failure** -- when the broker itself crashed and is restarted, workers
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will reconnect automatically. However, all jobs in their queues are lost. If a
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worker manages to finish a job and notifies the "new" broker, the report is
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forwarded to the frontend. The same goes for external failures. Jobs that fail
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internally cannot be reassigned, because the "new" broker does not know their
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headers -- they are reported as failed immediately.
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