* WIP
* Allow marqsv2 and v2 graphile to run in parallel
* Fix missing GraphileLogger import
* Fixed heartbeat after rebase
* Replace postgres based run counters with redis ones with a backfill
* Add back in the graphile logger
* Remove duplicate visibility timeout calls
* Clamp simple weighted strategy to max of 5
* Introducing Modular Asynchronous Reliable Queueing System (MarQS). Works in dev
* Convert MarQS to using lua and dealing with concurrency
* Simplified the timeout queue and current concurrency is now a set instead of a flat value (to support idempotency)
* Implement task heartbeating and reconnect the background workers CLI when the websocket connection reconnects
* Start adding internal telemetry support for the server
* Get env vars to work in dev and implement prisma tracing in webapp
* Cleanup telemetry and implement it in the consumer
* Implement dequeuing a message from a parent shared queue
* Implement a custom logger exporter instead of using console log exporter
* Use node instead of shell for generating protocol buffer code
* Propogate trace context into debug logs, and allow turning off logger exporter through env vars
* Switch to using baselime for internal otel data
* Make orgMember optional to fix type issues
* Provide the CLI dev env vars through the CLI, don’t build dotenv into facade
* Removed the logger import
* Address Matt’s comments
* Addressing more of Matt’s comments
* Handle sending an execution after a websocket connection closes
* Remove auth from the env attributes to prevent obfuscation
* WIP execution concurrency controls implemented via Redis
- Split up resuming a run and executing a run
- Added some new statuses to better show what is going on in a run
- Removed preprocessing runs
* WIP
* Convert to using ZSETs and adding env vars
* Removed unused import
* Improve run number generation using advistory locks, and only on start
* More execution concurrency stuff
* Add support for job concurrency limits and concurrency limit groups
* Create wild-swans-battle.md
* Increase slots refresh timeout to 10s
* Try to fix Redis connection issues
* Don’t be so strict about the APP_ENV
* Add the blank tls option to the normal redis client as well
* Add docs
* Implement manually invokable jobs through the invokeTrigger
Also implemented a job run notification system, that will POST details of a run on completion. This combines with the task callbackUrl system to implement the invokeAndWait
* Document the invoke trigger
* batch invoke and wait
* background fetch timeouts
* Use @whatwg-node/fetch instead of the polyfilled fetch
* Fix some outdated dependencies in webapp
* Improved subtask error propogation messages
* Document the OpenAI changes and the batch invoke stuff
* Fix dequeuing jobs
* Don’t retry the OpenAI completion background task
* Added OpenAI changesets
* Use the new ResumeTaskService in ProcessCallbackTimeout as well
* Auto-yield run execution to help prevent duplicate task executions
* Add auto-yield config to endpoints
* Refactor run execution with buffer and limits
Introduced constants RUN_CHUNK_EXECUTION_BUFFER and MAX_RUN_CHUNK_EXECUTION_LIMIT. Adjusted PerformRunExecutionV2Service to use the new constants to fine-tune execution timings and buffers.
* Add endpoint probing functionality
Added new `RESPONSE_TIMEOUT_STATUS_CODES` in `consts.ts` to manage timeout responses. Additional functions `detectResponseIsTimeout(response: Response)` was added in `endpoint.server.ts` to detect if a response was a timeout based on the status codes from `RESPONSE_TIMEOUT_STATUS_CODES`.
Update actions to use new endpoint probing endpoint service. This allows for the early probing of endpoints to determine if they're up and running.
A new class `ProbeEndpointService` was created in `probeEndpoint.server.ts` which makes HTTP requests to a given endpoint and updates its properties based on the result.
Finally, `detectResponseIsTimeout(response)` is used in `performRunExecutionV2.server.ts` for marking the execution as succeeded when facing a timeout.
* Refactored probe method in EndpointApi class
The probe method of the EndpointApi class has been refactored to remove the error handling part and it now takes a timeout sent from the client directly. The corresponding changes were also made in the ProbeEndpointService and TriggerClient objects to reflect the alterations in the probe method.
The error handling related to the timeout has been removed and the responsibility of handling the timeout has been shifted to the client. Thus, the probe method has been greatly simplified. The `probeEndpoint.server.ts` file was also changed to accommodate the change in behavior of the probe result.
In the `triggerClient.ts` the timeout for probe is now read from the incoming request object. For backward compatibility, if no timeout is provided in the request, the default value of 15 minutes is used.
* Remove performRunExecution v1 enqueue function
* Better document limits and add docs on increasing function timeouts
* Upgrade webapp docker container to use 18.18.2
* force clients to yield when a run is executing in a gracefully shutting down worker
* Renamed task `key` to `cacheKey` and added more task documentation
* Index the `@trigger.dev/sdk` version on Endpoints
* WIP
* Report ECS task info on startup and shutdown
* Fixed lifecycle name
* Re-add terminus
* Require the build dir when http server is disabled
* Remove unnecessary logs
* Implement graceful shutdown in ZodWorker
* Re-order some code
* Increase the keepAliveTimeout to 65 seconds to prevent LB 502 errors
* WIP job run performance improvements
- Added a `perf` tool to better measure job run performance under heavy load
- Removed `runFinished` job (not really needed)
- startQueuedRuns now uses a jobKey with replace
- Fixed an issue with ZodWorker when using jobKey
* Publish improvement docker images
* fixed the improvement docker publishing
* Downgrade back to prisma 4.16.0 because 5.1.x broke docker builds
* Changes to how queued runs work
- Split the worker into two different workers, one dedicated to performRunExecution
- Schedule performRunExecution in a single place, with a queue and using a round robin manually controlled concurrency
- Remove startQueuedRuns
- All runs are queued before they are started
- Setting the worker maxPoolSize to the same as the worker concurrency
- Starting to be able to split the docker image
* Remove queue name from startRun graphile job
* Make the prisma connection pool stuff configurable through env vars
* Hardcode (for now) the max concurrent runs limit
* Rewrite performRunExecution to be more performant
PerformRunExecutionV2:
- Does not create and manage jobRunExecution records
- Does not reimplement retrying, uses graphile worker retrying instead
I’ve kept around PerformRunExecutionV1 so this works when deploying. Definitely needs LOTS of testing
* Fix issues with cached tasks
- Limit the size of the cached tasks sent when executing a run, using the knapsack problem dynamic programming approach
- Actually USE the cached tasks in IO by using the idempotencyKey instead of the task ID
- Remove output from all logs
- Added a stress test job catalog
* Forgot to commit the logger updates
* Never log connectionString
* Login to docker hub to get around rate limits
* Add additional logging to the graphile workers
* Fix the *_ENABLED env vars
* Allow adding and removing jobs to be done from the webapp
* Don’t set the job to failed if it’s being retried
* Deprecated queue options in the job and removed startPosition. Now using the job/env combo as the job queue name
* Dequeung jobs doesn’t check if the runner is initialized
* Fixed issues with retrying a run getting stuck on a cancelled task, and errors from parsing the results of dequeing a job
* Remove queued round robin thing that isn’t used anymore
* Added slack to job catalog
* Better forwards compat
* Added long delay
* Fixed lock file
* Setup project-wide prettier
* Remove old workspace file
* Remove old debugging directives
* New top-level .prettierignore
* Updated Prettier config settings
* Contrubuting guide: Fix for some bad code blocks
* Added more ignores
* Improved the format script command
* printWidth set to 100
* Formatted entire repo (pnpm run format)