graph LR
Celery_Application_Core["Celery Application Core"]
Task_Management["Task Management"]
Worker_Orchestration["Worker Orchestration"]
Message_Consumption["Message Consumption"]
Concurrency_Management["Concurrency Management"]
Result_Management["Result Management"]
Periodic_Scheduling["Periodic Scheduling"]
Workflow_Canvas["Workflow Canvas"]
Event_System["Event System"]
CLI_Core_Utilities["CLI & Core Utilities"]
Celery_Application_Core -- "orchestrates" --> Task_Management
Celery_Application_Core -- "orchestrates" --> Result_Management
Celery_Application_Core -- "orchestrates" --> Periodic_Scheduling
Celery_Application_Core -- "orchestrates" --> Workflow_Canvas
Celery_Application_Core -- "orchestrates" --> Event_System
Celery_Application_Core -- "orchestrates" --> Worker_Orchestration
Celery_Application_Core -- "configures" --> Worker_Orchestration
Celery_Application_Core -- "configures" --> Message_Consumption
Celery_Application_Core -- "configures" --> Concurrency_Management
Celery_Application_Core -- "configures" --> Result_Management
Celery_Application_Core -- "configures" --> Periodic_Scheduling
Celery_Application_Core -- "configures" --> Event_System
CLI_Core_Utilities -- "used by" --> Celery_Application_Core
Task_Management -- "defined by" --> Celery_Application_Core
Task_Management -- "executes via" --> Concurrency_Management
Task_Management -- "stores results in" --> Result_Management
Task_Management -- "interacts with" --> Workflow_Canvas
Task_Management -- "handled by" --> Message_Consumption
Worker_Orchestration -- "orchestrates" --> Message_Consumption
Worker_Orchestration -- "orchestrates" --> Concurrency_Management
Worker_Orchestration -- "integrates with" --> Periodic_Scheduling
Worker_Orchestration -- "communicates with" --> Event_System
Worker_Orchestration -- "manages state via" --> Result_Management
CLI_Core_Utilities -- "controlled by" --> Worker_Orchestration
Message_Consumption -- "receives messages from" --> Message_Broker_external_
Message_Consumption -- "dispatches tasks to" --> Worker_Orchestration
Message_Consumption -- "interacts with" --> Event_System
Concurrency_Management -- "executes tasks for" --> Worker_Orchestration
Concurrency_Management -- "executes tasks for" --> Task_Management
Result_Management -- "stores results for" --> Task_Management
Result_Management -- "stores results for" --> Workflow_Canvas
CLI_Core_Utilities -- "accessed by" --> Result_Management
Periodic_Scheduling -- "enqueues tasks to" --> Message_Broker_external_
Periodic_Scheduling -- "can be embedded in" --> Worker_Orchestration
CLI_Core_Utilities -- "controlled by" --> Periodic_Scheduling
Workflow_Canvas -- "composes" --> Task_Management
Workflow_Canvas -- "interacts with" --> Result_Management
Workflow_Canvas -- "used by" --> Celery_Application_Core
Event_System -- "emits events from" --> Worker_Orchestration
Event_System -- "emits events from" --> Task_Management
CLI_Core_Utilities -- "consumed by" --> Event_System
CLI_Core_Utilities -- "interacts with" --> Celery_Application_Core
CLI_Core_Utilities -- "interacts with" --> Worker_Orchestration
CLI_Core_Utilities -- "interacts with" --> Periodic_Scheduling
CLI_Core_Utilities -- "interacts with" --> Event_System
CLI_Core_Utilities -- "interacts with" --> Result_Management
CLI_Core_Utilities -- "provides utilities for" --> Celery_Application_Core
CLI_Core_Utilities -- "provides utilities for" --> Task_Management
CLI_Core_Utilities -- "provides utilities for" --> Worker_Orchestration
CLI_Core_Utilities -- "provides utilities for" --> Message_Consumption
CLI_Core_Utilities -- "provides utilities for" --> Concurrency_Management
CLI_Core_Utilities -- "provides utilities for" --> Result_Management
CLI_Core_Utilities -- "provides utilities for" --> Periodic_Scheduling
CLI_Core_Utilities -- "provides utilities for" --> Workflow_Canvas
CLI_Core_Utilities -- "provides utilities for" --> Event_System
click Celery_Application_Core href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/celery/Celery Application Core.md" "Details"
click Task_Management href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/celery/Task Management.md" "Details"
click Worker_Orchestration href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/celery/Worker Orchestration.md" "Details"
click Message_Consumption href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/celery/Message Consumption.md" "Details"
click Concurrency_Management href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/celery/Concurrency Management.md" "Details"
click Result_Management href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/celery/Result Management.md" "Details"
click Periodic_Scheduling href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/celery/Periodic Scheduling.md" "Details"
click Workflow_Canvas href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/celery/Workflow Canvas.md" "Details"
click Event_System href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/celery/Event System.md" "Details"
click CLI_Core_Utilities href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/celery/CLI & Core Utilities.md" "Details"
The Celery architecture is designed for distributed task processing, enabling asynchronous execution of tasks across multiple worker nodes. The core flow involves a client application defining tasks using the Celery Application Core, which are then sent to a message broker. Worker Orchestration components consume these messages, execute the tasks using Concurrency Management, and store results via Result Management. Periodic tasks are handled by the Periodic Scheduling component, while the Workflow Canvas allows for complex task compositions. The Event System provides real-time monitoring, and CLI & Core Utilities offer administrative and foundational functionalities.
The central application instance that serves as the entry point for defining, configuring, and interacting with Celery. It manages the overall application lifecycle, loads configurations, registers tasks, and provides access to core services like AMQP, event dispatchers, and result backends.
Related Classes/Methods:
celery.celery.app.base.Celery(213:1505)celery.celery.app.base.PendingConfiguration(169:210)celery.celery.app.utils.Settings(70:209)celery.celery.app.utils.AppPickler(289:313)celery.celery.app.builtins(full file reference)celery.celery.app.shared_task(full file reference)celery.celery.app.defaults(full file reference)celery.celery.app.autoretry(full file reference)celery.celery.app.log(full file reference)celery.celery.app.registry(full file reference)celery.celery.app.annotations(full file reference)celery.celery.app.backends(full file reference)
Defines the fundamental Task class and manages the registration, execution, and state transitions of tasks within the Celery application. It handles task retries, error handling, and interaction with result storage.
Related Classes/Methods:
celery.celery.app.task.Task(164:1158)celery.celery.app.task.Context(60:160)celery.celery.app.registry.TaskRegistry(12:58)celery.celery.app.trace(full file reference)
Manages the lifecycle of a Celery worker process, including startup, shutdown, and coordination of various internal worker components. It sets up queues, handles module imports, and integrates with concurrency pools, consumers, and the beat scheduler.
Related Classes/Methods:
celery.celery.worker.worker.WorkController(63:435)celery.celery.worker.components.Timer(32:53)celery.celery.worker.components.Hub(56:95)celery.celery.worker.components.Pool(98:175)celery.celery.worker.components.Beat(178:199)celery.celery.worker.components.StateDB(202:212)celery.celery.worker.components.Consumer(215:240)celery.celery.apps.worker.Worker(85:279)celery.celery.worker.state(full file reference)celery.celery.worker.state.reset_state(77:85)celery.celery.worker.state.maybe_shutdown(88:93)celery.celery.worker.state.task_reserved(96:101)celery.celery.worker.state.task_accepted(104:115)celery.celery.worker.state.task_ready(118:129)celery.celery.worker.state.Persistent(192:288)celery.celery.worker.pidbox.Pidbox(20:76)celery.celery.worker.pidbox.gPidbox(79:122)celery.celery.worker.consumer.control.Control(18:33)celery.celery.worker.consumer.mingle.Mingle(13:76)celery.celery.worker.consumer.gossip.Gossip(23:206)celery.celery.worker.heartbeat.Heart(14:61)celery.celery.worker.consumer.agent.Agent(9:21)celery.celery.worker.request.Request(67:731)celery.celery.worker.request.create_request_cls(734:790)celery.celery.worker.strategy.default(99:208)celery.celery.worker.strategy.hybrid_to_proto2(25:63)celery.celery.worker.strategy.proto1_to_proto2(66:96)celery.celery.worker.autoscale.WorkerComponent(31:58)celery.celery.worker.autoscale.Autoscaler(61:154)
The core component within a worker responsible for connecting to the message broker, consuming task messages, decoding them, and dispatching them to the appropriate task handlers. It manages prefetch counts and ensures connection stability.
Related Classes/Methods:
celery.celery.worker.consumer.consumer.Consumer(138:757)celery.celery.worker.consumer.delayed_delivery.DelayedDelivery(32:247)celery.celery.worker.loops.asynloop(50:105)celery.celery.worker.loops.synloop(108:143)
Provides various concurrency models (e.g., prefork, eventlet, gevent, threads, solo) to execute tasks in parallel within the worker. It manages the worker pool and the allocation of resources for task execution.
Related Classes/Methods:
celery.celery.concurrency.base.BasePool(47:180)celery.celery.concurrency.thread.TaskPool(30:64)celery.celery.concurrency.solo.TaskPool(11:31)celery.celery.concurrency.prefork.TaskPool(92:172)celery.celery.concurrency.gevent.TaskPool(85:166)celery.celery.concurrency.eventlet.TaskPool(88:181)celery.celery.concurrency.asynpool(full file reference)celery.celery.concurrency.get_available_pool_names(full file reference)
Provides a unified interface for various storage backends (e.g., database, Redis, filesystem) to persist and retrieve task results, states, and metadata. It handles serialization and deserialization of results and supports features like chord synchronization.
Related Classes/Methods:
celery.celery.backends.base.Backend(81:723)celery.celery.backends.base.BaseKeyValueStoreBackend(811:1087)celery.celery.backends.database.DatabaseBackend(full file reference)celery.celery.backends.redis.RedisBackend(187:584)celery.celery.backends.filesystem.FilesystemBackend(25:112)celery.celery.backends.cache.CacheBackend(90:163)celery.celery.backends.mongodb.MongoBackend(35:333)celery.celery.backends.elasticsearch.ElasticsearchBackend(30:283)celery.celery.backends.couchbase.CouchbaseBackend(23:114)celery.celery.backends.s3.S3Backend(20:87)celery.celery.backends.cosmosdbsql.CosmosDBSQLBackend(30:218)celery.celery.backends.dynamodb.DynamoDBBackend(29:556)celery.celery.backends.rpc.RPCBackend(88:342)celery.celery.backends.asynchronous.BaseResultConsumer(239:333)celery.celery.app.backends(full file reference)celery.celery.result.AsyncResult(69:545)celery.celery.result.ResultSet(549:884)celery.celery.result.GroupResult(888:980)
Implements the periodic task scheduler (Celery Beat), which reads scheduled tasks from a persistent store and enqueues them to the message broker at their designated times.
Related Classes/Methods:
celery.celery.beat.ScheduleEntry(81:197)celery.celery.beat.Scheduler(218:501)celery.celery.beat.PersistentScheduler(504:608)celery.celery.beat.Service(611:678)celery.celery.schedules.BaseSchedule(65:108)celery.celery.schedules.schedule(111:193)celery.celery.schedules.crontab_parser(196:320)celery.celery.schedules.crontab(323:700)celery.celery.schedules.solar(717:887)celery.celery.apps.beat.Beat(40:160)
Provides a high-level API for composing complex task workflows, including chains (sequential execution), groups (parallel execution), and chords (group with a callback). It allows users to define dependencies and control the flow of tasks.
Related Classes/Methods:
celery.celery.canvas.Signature(232:871)celery.celery.canvas._chain(932:1305)celery.celery.canvas.chain(1308:1368)celery.celery.canvas._basemap(1371:1392)celery.celery.canvas.xmap(1396:1408)celery.celery.canvas.xstarmap(1412:1419)celery.celery.canvas.chunks(1423:1458)celery.celery.canvas.group(1478:1946)celery.celery.canvas._chord(1950:2364)celery.celery.canvas.StampingVisitor(118:228)
Enables real-time monitoring and introspection of the Celery cluster by providing mechanisms for workers and clients to send and receive events (e.g., task started, succeeded, failed, worker online/offline).
Related Classes/Methods:
celery.celery.events.event.Event(18:30)celery.celery.events.dispatcher.EventDispatcher(19:229)celery.celery.events.receiver.EventReceiver(22:135)celery.celery.events.state.State(398:720)celery.celery.events.state.Worker(149:239)celery.celery.events.state.Task(243:395)celery.celery.events.dumper.Dumper(36:76)celery.celery.events.cursesmon.CursesMonitor(34:476)celery.celery.events.snapshot.Polaroid(24:83)celery.celery.events.snapshot.evcam(86:111)celery.celery.bin.events(82:94)
Provides the command-line interface for interacting with Celery (e.g., starting workers, inspecting the cluster, managing tasks) and a collection of general-purpose helper functions, including platform-specific adaptations and security-related functionalities.
Related Classes/Methods:
celery.celery.bin.celery(117:167)celery.celery.bin.control(229:252)celery.celery.bin.migrate(48:63)celery.celery.bin.purge(31:70)celery.celery.bin.list(full file reference)celery.celery.bin.events(82:94)celery.celery.bin.logtool(116:117)celery.celery.bin.amqp(64:71)celery.celery.bin.beat(47:72)celery.celery.bin.graph(14:15)celery.celery.bin.call(58:71)celery.celery.bin.base(full file reference)celery.celery.bin.worker(298:360)celery.celery.bin.multi(472:480)celery.celery.bin.upgrade(15:16)celery.celery.bin.result(21:30)celery.celery.bin.shell(120:173)celery.celery.utils.text(full file reference)celery.celery.utils.annotations(full file reference)celery.celery.utils.collections(full file reference)celery.celery.utils.nodenames(full file reference)celery.celery.utils.log(full file reference)celery.celery.utils.imports(full file reference)celery.celery.utils.deprecated(full file reference)celery.celery.utils.time(full file reference)celery.celery.utils.sysinfo(full file reference)celery.celery.utils.debug(full file reference)celery.celery.utils.threads(full file reference)celery.celery.utils.graph(full file reference)celery.celery.utils.objects(full file reference)celery.celery.utils.serialization(full file reference)celery.celery.utils.functional(full file reference)celery.celery.utils.saferepr(66:77)celery.celery.local(full file reference)celery.celery._state(full file reference)celery.celery.platforms.Pidfile(125:238)celery.celery.platforms.DaemonContext(310:373)celery.celery.platforms.Signals(594:691)celery.celery.platforms.set_process_title(723:732)celery.celery.platforms.maybe_drop_privileges(528:555)celery.celery.platforms.check_privileges(788:830)celery.celery.platforms.detached(376:429)celery.celery.platforms.create_pidlock(244:263)celery.celery.security.key.PrivateKey(12:35)celery.celery.security.certificate.Certificate(31:73)celery.celery.security.certificate.CertStore(76:97)celery.celery.security.serialization.SecureSerializer(20:77)celery.celery.security.setup_security(full file reference)celery.celery.fixups.django.DjangoFixup(64:115)celery.celery.fixups.django.DjangoWorkerFixup(118:218)celery.celery.contrib.django.task.DjangoTask(8:21)celery.celery.contrib.migrate.State(31:47)celery.celery.contrib.migrate.migrate_tasks(99:118)celery.celery.contrib.migrate.Filterer(247:334)celery.celery.contrib.rdb.Rdb(84:172)celery.celery.contrib.rdb.set_trace(183:187)