job

package

v4.55.2 Latest Latest Go to latest Published: Aug 27, 2025 License: Apache-2.0 Imports: 13 Imported by: 0

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Valid go.mod file
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Repository

github.com/pixlise/core

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Documentation ¶

Index ¶

func AddJob(idPrefix string, requestorUserId string, jobType protos.JobStatus_JobType, ...) (*protos.JobStatus, error)
func CompleteJob(jobId string, success bool, message string, outputFilePath string, ...) error
func ListenForExternalTriggeredJobs(prefix string, callback func(*protos.JobStatus), db *mongo.Database, ...)
func UpdateJob(jobId string, status protos.JobStatus_Status, message string, logId string, ...) error

Constants ¶

This section is empty.

Variables ¶

This section is empty.

Functions ¶

func AddJob ¶

func AddJob(
	idPrefix string,
	requestorUserId string,
	jobType protos.JobStatus_JobType,
	jobItemId string,
	jobName string,
	elementList []string,
	jobTimeoutSec uint32,
	db *mongo.Database,
	idgen idgen.IDGenerator,
	ts timestamper.ITimeStamper,
	logger logger.ILogger,
	sendUpdate func(*protos.JobStatus)) (*protos.JobStatus, error)

func CompleteJob ¶

func CompleteJob(jobId string, success bool, message string, outputFilePath string, otherLogFiles []string, db *mongo.Database, ts timestamper.ITimeStamper, logger logger.ILogger) error

Expected to be called from the thing running the job. This allows setting some output fields

func ListenForExternalTriggeredJobs ¶

func ListenForExternalTriggeredJobs(prefix string, callback func(*protos.JobStatus), db *mongo.Database, logger logger.ILogger)

func UpdateJob ¶

func UpdateJob(jobId string, status protos.JobStatus_Status, message string, logId string, db *mongo.Database, ts timestamper.ITimeStamper, logger logger.ILogger) error

Expected to be called from the thing running the job. This updates the DB status, which hopefully the go thread started by AddJob will notice and fire off an update

Types ¶

This section is empty.

Source Files ¶

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Directories ¶

Path	Synopsis
jobstarter Exposes interfaces and structures required to run PIQUANT in the Kubernetes cluster along with functions to access quantification files, logs, results and summaries of quant jobs.	Exposes interfaces and structures required to run PIQUANT in the Kubernetes cluster along with functions to access quantification files, logs, results and summaries of quant jobs.
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