Changelog

Unreleased beta

These changes are available in the master branch.

Features

  • Added Fargate agent - #1521
  • Custom user-written environments can be deployed to Prefect Cloud - #1534, #1537

Enhancements

  • Allow for Agents to correctly run in environments with differently calibrated clocks - #1402
  • Refactor RemoteEnvironment to utilize the get_flow storage interface - #1476
  • Ensure Task logger is available in context throughout every pipeline step of the run - #1509
  • Skip Docker registry pushing and pulling on empty registry_url attribute - #1525
  • Agents now log platform errors to flow runs which cannot deploy - #1528
  • Updating ShellTask to work more like Airflow Bash Operator for streaming logs and returning values - #1451
  • Agents now have a verbose/debug logging option for granular output - #1532
  • DaskKubernetesEnvironment now allows for custom scheduler and worker specs - #1543, #1537

Task Library

  • None

Fixes

  • Fix map error by removing imagePullSecrets from Kubernetes Agent install if not provided - #1524
  • Fix issue with two INFO logs not being associated with the Task Run in Cloud - #1526
  • execute CLI command can now load custom environments off of the flow object - #1534

Deprecations

  • None

Breaking Changes

  • Update ShellTask to return only the last line of stdout, as a string - #1451

Contributors

  • None

0.6.4 beta

Released September 10, 2019

Features

Enhancements

  • Add OS platform check to Local Agent for running on Windows machines - #1441
  • Add --base-url argument for Docker daemons to agent start CLI command - #1441
  • Add environment labels for organizing / tagging different Flow execution environments - #1438
  • Use -U option when installing prefect in Docker containers to override base image version - #1461
  • Remove restriction that prevented DotDict classes from having keys that shadowed dict methods - #1462
  • Added livenessProbe to Kubernetes Agent - #1474
  • Ensure external Dask Clusters do not require Prefect Cloud environment variables to run Cloud flows - #1481

Task Library

  • None

Fixes

  • Fix incorrect import in DaskKubernetesEnvironment job template - #1458
  • Raise error on Agents started without an appropriate API token - #1459
  • Fix bug when calling as_nested_dict on DotDicts with an items key - #1462
  • Fix --resource-manager flag on agent install invalidating imagePullSecrets - #1469
  • Fix issue with user-written result handlers in Prefect Cloud preventing some states from being set - #1480

Deprecations

  • None

Breaking Changes

  • None

Contributors

0.6.3 beta

Released August 30, 2019

Fixes

  • Fix issue with reduced mapped tasks not respecting retries - #1436

0.6.2 beta

Released August 30, 2019

Features

  • Added Local, Kubernetes, and Nomad agents - #1341
  • Add the ability for Tasks to sequentially loop - #1356

Enhancements

  • Adds a copy to clipboard button for codeblocks - #213
  • Updates Vuepress to v1.0.3 - #770
  • Introduce configurable default for storage class on Flows - #1044
  • Allow for min and max workers to be specified in DaskKubernetesEnvironment - #1338
  • Use task and flow names for corresponding logger names for better organization - #1355
  • Paused states subclass Scheduled and can have predefined expirations - #1375
  • Introduce new Flow health checks prior to Cloud deployment - #1372
  • Improve logging functionality to include tracebacks - #1374
  • Improve CLI user experience while working with Cloud - #1384
  • Users can now create projects from the CLI - #1388
  • Add a health check to confirm that serialized flows are valid prior to Cloud deploy - #1397
  • Add task_slug, flow_id, and flow_run_id to context - #1405
  • Support persistent scheduled_start_time for scheduled flow runs when run locally with flow.run() - #1418, #1429
  • Add task_args to Task.map - #1390
  • Add auth flows for USER-scoped Cloud API tokens - #1423
  • Add AzureResultHandler for handling results to / from Azure Blob storage containers - #1421
  • Add new configurable LocalDaskExecutor - #1336
  • Add CLI commands for working with Prefect Cloud auth - #1431

Task Library

  • Add new SnowflakeQuery task for using snowflake data warehouse - #1113

Fixes

  • Fix issue with Docker storage not respecting user-provided image names - #1335
  • Fix issue with local retries in Cloud not always running in-process - #1348

Deprecations

  • Rename SynchronousExecutor as LocalDaskExecutor - #1434

Breaking Changes

  • Rename CloudEnvironment to DaskKubernetesEnvironment - #1250
  • Remove unused queue method from all executors - #1434

Contributors

0.6.1 beta

Released August 8, 2019

Features

  • Introduce new flows.checkpointing configuration setting for checkpointing Tasks in local execution - #1283
  • Introduce new, flexible Schedule objects - #1320

Enhancements

  • Allow passing of custom headers in Client calls - #1255
  • Autogenerate informative names and tags for Docker images built for Flow storage - #1237
  • Allow mixed-case configuration keys (environment variables are interpolated as lowercase) - #1288
  • Ensure state handler errors are logged informatively - #1326

Task Library

  • Add BigQueryLoadGoogleCloudStorage task for loading data into BigQuery from Google Cloud Storage #1317

Fixes

  • Fix issue with logs not always arriving in long-standing Dask clusters - #1244
  • Fix issue with BuildImage docker task not actually running to completion - #1243
  • Fix run --logs CLI command not exiting on flow run finished state - #1319

Deprecations

  • OneTimeSchedule and UnionSchedule are deprecated, but remain callable as convenience functions - #1320
  • Old-style schedules can be deserialized as new-style schedules, but support will eventually be dropped - #1320

Breaking Changes

  • prefect.Client.graphql() and prefect.Client.post() now use an explicit keyword, not **kwargs, for variables or parameters - #1259
  • auth add CLI command replaced with auth login - #1319

Contributors

  • None

0.6.0 beta

Released July 16, 2019

Features

  • Add the Prefect CLI for working with core objects both locally and in cloud - #1059
  • Add RemoteEnvironment for simple executor based executions - #1215
  • Add the ability to share caches across Tasks and Flows - #1222
  • Add the ability to submit tasks to specific dask workers for task / worker affinity - #1229

Enhancements

  • Refactor mapped caching to be independent of order - #1082
  • Refactor caching to allow for caching across multiple runs - #1082
  • Allow for custom secret names in Result Handlers - #1098
  • Have execute cloud-flow CLI immediately set the flow run state to Failed if environment fails - #1122
  • Validate configuration objects on initial load - #1136
  • Add auto_generated property to Tasks for convenient filtering - #1135
  • Disable dask work-stealing in Kubernetes via scheduler config - #1166
  • Implement backoff retry settings on Client calls - #1187
  • Explicitly set Dask keys for a better Dask visualization experience - #1218
  • Implement a local cache which persists for the duration of a Python session - #1221
  • Implement in-process retries for Cloud Tasks which request retry in less than one minute - #1228
  • Support Client.login() with API tokens - #1240
  • Add live log streaming for prefect run cloud command - #1241

Task Library

  • Add task to trigger AWS Step function workflow #1012
  • Add task to copy files within Google Cloud Storage - #1206
  • Add task for downloading files from Dropbox - #1205

Fixes

  • Fix issue with mapped caching in Prefect Cloud - #1096
  • Fix issue with Result Handlers deserializing incorrectly in Cloud - #1112
  • Fix issue caused by breaking change in marshmallow==3.0.0rc7 - #1151
  • Fix issue with passing results to Prefect signals - #1163
  • Fix issue with flow.update not preserving mapped edges - #1164
  • Fix issue with Parameters and Context not being raw dictionaries - #1186
  • Fix issue with asynchronous, long-running mapped retries in Prefect Cloud - #1208
  • Fix issue with automatically applied collections to task call arguments when using the imperative API - #1211

Breaking Changes

  • The CLI command prefect execute-flow and prefect execute-cloud-flow no longer exist - #1059
  • The slack_notifier state handler now uses a webhook_secret kwarg to pull the URL from a Secret - #1075
  • Use GraphQL for Cloud logging - #1193
  • Remove the CloudResultHandler default result handler - #1198
  • Rename LocalStorage to Local - #1236

Contributors

0.5.4 beta

Released May 28, 2019

Features

  • Add new UnionSchedule for combining multiple schedules, allowing for complex schedule specifications - #428
  • Allow for Cloud users to securely pull Docker images from private registries - #1028

Enhancements

  • Add prefect_version kwarg to Docker storage for controlling the version of prefect installed into your containers - #1010, #533
  • Warn users if their Docker storage base image uses a different python version than their local machine - #999
  • Add flow run id to k8s labels on Cloud Environment jobs / pods for easier filtering in deployment - #1016
  • Allow for SlackTask to pull the Slack webhook URL from a custom named Secret - #1023
  • Raise informative errors when Docker storage push / pull fails - #1029
  • Standardized __repr__s for various classes, to remove inconsistencies - #617
  • Allow for use of local images in Docker storage - #1052
  • Allow for doc tests and doc generation to run without installing all_extras - #1057

Task Library

  • Add task for creating new branches in a GitHub repository - #1011
  • Add tasks to create, delete, invoke, and list AWS Lambda functions #1009
  • Add tasks for integration with spaCy pipelines #1018
  • Add tasks for querying Postgres database #1022
  • Add task for waiting on a Docker container to run and optionally raising for nonzero exit code - #1061
  • Add tasks for communicating with Redis #1021

Fixes

  • Ensure that state change handlers are called even when unexpected initialization errors occur - #1015
  • Fix an issue where a mypy assert relied on an unavailable import - #1034
  • Fix an issue where user configurations were loaded after config interpolation had already taken place - #1037
  • Fix an issue with saving a flow visualization to a file from a notebook - #1056
  • Fix an issue in which mapped tasks incorrectly tried to run when their upstream was skipped - #1068
  • Fix an issue in which mapped tasks were not using their caches locally - #1067

Breaking Changes

  • Changed the signature of configuration.load_configuration() - #1037
  • Local Secrets now raise ValueErrors when not found in context - #1047

Contributors

0.5.3 beta

Released May 7, 2019

Features

  • Add new Storage and Environment specifications - #936, #956

Enhancements

  • Flow now has optional storage keyword - #936
  • Flow environment argument now defaults to a CloudEnvironment - #936
  • Queued states accept start_time arguments - #955
  • Add new Bytes and Memory storage classes for local testing - #956, #961
  • Add new LocalEnvironment execution environment for local testing - #957
  • Add new Aborted state for Flow runs which are cancelled by users - #959
  • Added an execute-cloud-flow CLI command for working with cloud deployed flows - #971
  • Add new flows.run_on_schedule configuration option for affecting the behavior of flow.run - #972
  • Allow for Tasks with manual_only triggers to be root tasks - #667
  • Allow compression of serialized flows #993
  • Allow for serialization of user written result handlers - #623
  • Allow for state to be serialized in certain triggers and cache validators - #949
  • Add new filename keyword to flow.visualize for automatically saving visualizations - #1001
  • Add new LocalStorage option for storing Flows locally - #1006

Task Library

  • None

Fixes

  • Fix Docker storage not pulling correct flow path - #968
  • Fix run_flow loading to decode properly by use cloudpickle - #978
  • Fix Docker storage for handling flow names with spaces and weird characters - #969
  • Fix non-deterministic issue with mapping in the DaskExecutor - #943

Breaking Changes

  • Remove flow.id and task.id attributes - #940
  • Removed old WIP environments - #936 (Note: Changes from #936 regarding environments don't break any Prefect code because environments weren't used yet outside of Cloud.)
  • Update flow.deploy and client.deploy to use set_schedule_active kwarg to match Cloud - #991
  • Removed Flow.generate_local_task_ids() - #992

Contributors

  • None

0.5.2 beta

Released April 19, 2019

Features

  • Implement two new triggers that allow for specifying bounds on the number of failures or successes - #933

Enhancements

  • DaskExecutor(local_processes=True) supports timeouts - #886
  • Calling Secret.get() from within a Flow context raises an informative error - #927
  • Add new keywords to Task.set_upstream and Task.set_downstream for handling keyed and mapped dependencies - #823
  • Downgrade default logging level to "INFO" from "DEBUG" - #935
  • Add start times to queued states - #937
  • Add is_submitted to states - #944
  • Introduce new ClientFailed state - #938

Task Library

  • Add task for sending Slack notifications via Prefect Slack App - #932

Fixes

  • Fix issue with timeouts behaving incorrectly with unpickleable objects - #886
  • Fix issue with Flow validation being performed even when eager validation was turned off - #919
  • Fix issue with downstream tasks with all_failed triggers running if an upstream Client call fails in Cloud - #938

Breaking Changes

  • Remove prefect make user config from cli commands - #904
  • Change set_schedule_active keyword in Flow deployments to set_schedule_inactive to match Cloud - #941

Contributors

  • None

0.5.1 beta

Released April 4, 2019

Features

  • API reference documentation is now versioned - #270
  • Add S3ResultHandler for handling results to / from S3 buckets - #879
  • Add ability to use Cached states across flow runs in Cloud - #885

Enhancements

  • Bump to latest version of pytest (4.3) - #814
  • Client.deploy accepts optional build kwarg for avoiding building Flow environment - #876
  • Bump distributed to 1.26.1 for enhanced security features - #878
  • Local secrets automatically attempt to load secrets as JSON - #883
  • Add task logger to context for easily creating custom logs during task runs - #884

Task Library

  • Add ParseRSSFeed for parsing a remote RSS feed - #856
  • Add tasks for working with Docker containers and imaged - #864
  • Add task for creating a BigQuery table - #895

Fixes

  • Only checkpoint tasks if running in cloud - #839, #854
  • Adjusted small flake8 issues for names, imports, and comparisons - #849
  • Fix bug preventing flow.run from properly using cached tasks - #861
  • Fix tempfile usage in flow.visualize so that it runs on Windows machines - #858
  • Fix issue caused by Python 3.5.2 bug for Python 3.5.2 compatibility - #857
  • Fix issue in which GCSResultHandler was not pickleable - #879
  • Fix issue with automatically converting callables and dicts to tasks - #894

Breaking Changes

  • Change the call signature of Dict task from run(**task_results) to run(keys, values) - #894

Contributors

0.5.0 beta

Released March 24, 2019

Features

  • Add checkpoint option for individual Tasks, as well as a global checkpoint config setting for storing the results of Tasks using their result handlers - #649
  • Add defaults_from_attrs decorator to easily construct Tasks whose attributes serve as defaults for Task.run - #293
  • Environments follow new hierarchy (PIN-3) - #670
  • Add OneTimeSchedule for one-time execution at a specified time - #680
  • flow.run is now a blocking call which will run the Flow, on its schedule, and execute full state-based execution (including retries) - #690
  • Pre-populate prefect.context with various formatted date strings during execution - #704
  • Add ability to overwrite task attributes such as "name" when calling tasks in the functional API - #717
  • Release Prefect Core under the Apache 2.0 license - #762

Enhancements

  • Refactor all State objects to store fully hydrated Result objects which track information about how results should be handled - #612, #616
  • Add google.cloud.storage as an optional extra requirement so that the GCSResultHandler can be exposed better - #626
  • Add a start_time check for Scheduled flow runs, similar to the one for Task runs - #605
  • Project names can now be specified for deployments instead of IDs - #633
  • Add a createProject mutation function to the client - #633
  • Add timestamp to auto-generated API docs footer - #639
  • Refactor Result interface into Result and SafeResult - #649
  • The manual_only trigger will pass if resume=True is found in context, which indicates that a Resume state was passed - #664
  • Added DockerOnKubernetes environment (PIN-3) - #670
  • Added Prefect docker image (PIN-3) - #670
  • defaults_from_attrs now accepts a splatted list of arguments - #676
  • Add retry functionality to flow.run(on_schedule=True) for local execution - #680
  • Add helper_fns keyword to ShellTask for pre-populating helper functions to commands - #681
  • Convert a few DEBUG level logs to INFO level logs - #682
  • Added DaskOnKubernetes environment (PIN-3) - #695
  • Load context from Cloud when running flows - #699
  • Add Queued state - #705
  • flow.serialize() will always serialize its environment, regardless of build - #696
  • flow.deploy() now raises an informative error if your container cannot deserialize the Flow - #711
  • Add _MetaState as a parent class for states that modify other states - #726
  • Add flow keyword argument to Task.set_upstream() and Task.set_downstream() - #749
  • Add is_retrying() helper method to all State objects - #753
  • Allow for state handlers which return None - #753
  • Add daylight saving time support for CronSchedule - #729
  • Add idempotency_key and context arguments to Client.create_flow_run - #757
  • Make EmailTask more secure by pulling credentials from secrets - #706

Task Library

  • Add GCSUpload and GCSDownload for uploading / retrieving string data to / from Google Cloud Storage - #673
  • Add BigQueryTask and BigQueryInsertTask for executing queries against BigQuery tables and inserting data - #678, #685
  • Add FilterTask for filtering out lists of results - #637
  • Add S3Download and S3Upload for interacting with data stored on AWS S3 - #692
  • Add AirflowTask and AirflowTriggerDAG tasks to the task library for running individual Airflow tasks / DAGs - #735
  • Add OpenGitHubIssue and CreateGitHubPR tasks for interacting with GitHub repositories - #771
  • Add Kubernetes tasks for deployments, jobs, pods, and services - #779
  • Add Airtable tasks - #803
  • Add Twitter tasks - #803
  • Add GetRepoInfo for pulling GitHub repository information - #816

Fixes

  • Fix edge case in doc generation in which some Exceptions' call signature could not be inspected - #513
  • Fix bug in which exceptions raised within flow runner state handlers could not be sent to Cloud - #628
  • Fix issue wherein heartbeats were not being called on a fixed interval - #669
  • Fix issue wherein code blocks inside of method docs couldn't use **kwargs - #658
  • Fix bug in which Prefect-generated Keys for S3 buckets were not properly converted to strings - #698
  • Fix next line after Docker Environment push/pull from overwriting progress bar - #702
  • Fix issue with JinjaTemplate not being pickleable - #710
  • Fix issue with creating secrets from JSON documents using the Core Client - #715
  • Fix issue with deserialization of JSON secrets unnecessarily calling json.loads - #716
  • Fix issue where IntervalSchedules didn't respect daylight saving time after serialization - #729

Breaking Changes

  • Remove the BokehRunner and associated webapp - #609
  • Rename ResultHandler methods from serialize / deserialize to write / read - #612
  • Refactor all State objects to store fully hydrated Result objects which track information about how results should be handled - #612, #616
  • Client.create_flow_run now returns a string instead of a GraphQLResult object to match the API of deploy - #630
  • flow.deploy and client.deploy require a project_name instead of an ID - #633
  • Upstream state results now take precedence for task inputs over cached_inputs - #591
  • Rename Match task (used inside control flow) to CompareValue - #638
  • Client.graphql() now returns a response with up to two keys (data and errors). Previously the data key was automatically selected - #642
  • ContainerEnvironment was changed to DockerEnvironment - #670
  • The environment from_file was moved to utilities.environments - #670
  • Removed start_tasks argument from FlowRunner.run() and check_upstream argument from TaskRunner.run() - #672
  • Remove support for Python 3.4 - #671
  • flow.run is now a blocking call which will run the Flow, on its schedule, and execute full state-based execution (including retries) - #690
  • Remove make_return_failed_handler as flow.run now returns all task states - #693
  • Refactor Airflow migration tools into a single AirflowTask in the task library for running individual Airflow tasks - #735
  • name is now required on all Flow objects - #732
  • Separate installation "extras" packages into multiple, smaller extras - #739
  • Flow.parameters() always returns a set of parameters - #756

0.4.1 beta

Released January 31, 2019

Features

  • Add ability to run scheduled flows locally via on_schedule kwarg in flow.run() - #519
  • Allow tasks to specify their own result handlers, ensure inputs and outputs are stored only when necessary, and ensure no raw data is sent to the database - #587

Enhancements

  • Allow for building ContainerEnvironments locally without pushing to registry - #514
  • Make mapping more robust when running children tasks multiple times - #541
  • Always prefer cached_inputs over upstream states, if available - #546
  • Add hooks to FlowRunner.initialize_run() for manipulating task states and contexts - #548
  • Improve state-loading strategy for Prefect Cloud - #555
  • Introduce on_failure kwarg to Tasks and Flows for user-friendly failure callbacks - #551
  • Include scheduled_start_time in context for Flow runs - #524
  • Add GitHub PR template - #542
  • Allow flows to be deployed to Prefect Cloud without a project id - #571
  • Introduce serialization schemas for ResultHandlers - #572
  • Add new metadata attribute to States for managing user-generated results - #573
  • Add new 'JSONResultHandler' for serializing small bits of data without external storage - #576
  • Use JSONResultHandler for all Parameter caching - #590

Fixes

  • Fixed flow.deploy() attempting to access a nonexistent string attribute - #503
  • Ensure all logs make it to the logger service in deployment - #508, #552
  • Fix a situation where Paused tasks would be treated as Pending and run - #535
  • Ensure errors raised in state handlers are trapped appropriately in Cloud Runners - #554
  • Ensure unexpected errors raised in FlowRunners are robustly handled - #568
  • Fixed non-deterministic errors in mapping caused by clients resolving futures of other clients - #569
  • Older versions of Prefect will now ignore fields added by newer versions when deserializing objects - #583
  • Result handler failures now result in clear task run failures - #575
  • Fix issue deserializing old states with empty metadata - #590
  • Fix issue serializing cached_inputs - #594

Breaking Changes

  • Move prefect.client.result_handlers to prefect.engine.result_handlers - #512
  • Removed inputs kwarg from TaskRunner.run() - #546
  • Moves the start_task_ids argument from FlowRunner.run() to Environment.run() - #544, #545
  • Convert timeout kwarg from timedelta to integer - #540
  • Remove timeout kwarg from executor.wait - #569
  • Serialization of States will ignore any result data that hasn't been processed - #581
  • Removes VersionedSchema in favor of implicit versioning: serializers will ignore unknown fields and the create_object method is responsible for recreating missing ones - #583
  • Convert and rename CachedState to a successful state named Cached, and also remove the superfluous cached_result attribute - #586

0.4.0 beta

Released January 8, 2019

Features

  • Add support for Prefect Cloud - #374, #406, #473, #491
  • Add versioned serialization schemas for Flow, Task, Parameter, Edge, State, Schedule, and Environment objects - #310, #318, #319, #340
  • Add ability to provide ResultHandlers for storing private result data - #391, #394, #430
  • Support depth-first execution of mapped tasks and tracking of both the static "parent" and dynamic "children" via Mapped states - #485

Enhancements

  • Add new TimedOut state for task execution timeouts - #255
  • Use timezone-aware dates throughout Prefect - #325
  • Add description and tags arguments to Parameters - #318
  • Allow edge key checks to be skipped in order to create "dummy" flows from metadata - #319
  • Add new names_only keyword to flow.parameters - #337
  • Add utility for building GraphQL queries and simple schemas from Python objects - #342
  • Add links to downloadable Jupyter notebooks for all tutorials - #212
  • Add to_dict convenience method for DotDict class - #341
  • Refactor requirements to a custom ini file specification - #347
  • Refactor API documentation specification to toml file - #361
  • Add new SQLite tasks for basic SQL scripting and querying - #291
  • Executors now pass map_index into the TaskRunners - #373
  • All schedules support start_date and end_date parameters - #375
  • Add DateTime marshmallow field for timezone-aware serialization - #378
  • Adds ability to put variables into context via the config - #381
  • Adds new client.deploy method for adding new flows to the Prefect Cloud - #388
  • Add id attribute to Task class - #416
  • Add new Resume state for resuming from Paused tasks - #435
  • Add support for heartbeats - #436
  • Add new Submitted state for signaling that Scheduled tasks have been handled - #445
  • Add ability to add custom environment variables and copy local files into ContainerEnvironments - #453
  • Add set_secret method to Client for creating and setting the values of user secrets - #452
  • Refactor runners into CloudTaskRunner and CloudFlowRunner classes - #431
  • Added functions for loading default engine classes from config - #477

Fixes

  • Fixed issue with GraphQLResult reprs - #374
  • CronSchedule produces expected results across daylight savings time transitions - #375
  • utilities.serialization.Nested properly respects marshmallow.missing values - #398
  • Fixed issue in capturing unexpected mapping errors during task runs - #409
  • Fixed issue in flow.visualize() so that mapped flow states can be passed and colored - #387
  • Fixed issue where IntervalSchedule was serialized at "second" resolution, not lower - #427
  • Fixed issue where SKIP signals were preventing multiple layers of mapping - #455
  • Fixed issue with multi-layer mapping in flow.visualize() - #454
  • Fixed issue where Prefect Cloud cached_inputs weren't being used locally - #434
  • Fixed issue where Config.set_nested would have an error if the provided key was nested deeper than an existing terminal key - #479
  • Fixed issue where state_handlers were not called for certain signals - #494

Breaking Changes

  • Remove NoSchedule and DateSchedule schedule classes - #324
  • Change serialize() method to use schemas rather than custom dict - #318
  • Remove timestamp property from State classes - #305
  • Remove the custom JSON encoder library at prefect.utilities.json - #336
  • flow.parameters now returns a set of parameters instead of a dictionary - #337
  • Renamed to_dotdict -> as_nested_dict - #339
  • Moved prefect.utilities.collections.GraphQLResult to prefect.utilities.graphql.GraphQLResult - #371
  • SynchronousExecutor now does not do depth first execution for mapped tasks - #373
  • Renamed prefect.utilities.serialization.JSONField -> JSONCompatible, removed its max_size feature, and no longer automatically serialize payloads as strings - #376
  • Renamed prefect.utilities.serialization.NestedField -> Nested - #376
  • Renamed prefect.utilities.serialization.NestedField.dump_fn -> NestedField.value_selection_fn for clarity - #377
  • Local secrets are now pulled from secrets in context instead of _secrets - #382
  • Remove Task and Flow descriptions, Flow project & version attributes - #383
  • Changed Schedule parameter from on_or_after to after - #396
  • Environments are immutable and return dict keys instead of str; some arguments for ContainerEnvironment are removed - #398
  • environment.run() and environment.build(); removed the flows CLI and replaced it with a top-level CLI command, prefect run - #400
  • The set_temporary_config utility now accepts a single dict of multiple config values, instead of just a key/value pair, and is located in utilities.configuration - #401
  • Bump click requirement to 7.0, which changes underscores to hyphens at CLI - #409
  • IntervalSchedule rejects intervals of less than one minute - #427
  • FlowRunner returns a Running state, not a Pending state, when flows do not finish - #433
  • Remove the task_contexts argument from FlowRunner.run() - #440
  • Remove the leading underscore from Prefect-set context keys - #446
  • Removed throttling tasks within the local cluster - #470
  • Even start_tasks will not run before their state's start_time (if the state is Scheduled) - #474
  • DaskExecutor's "processes" keyword argument was renamed "local_processes" - #477
  • Removed the mapped and map_index kwargs from TaskRunner.run(). These values are now inferred automatically - #485
  • The upstream_states dictionary used by the Runners only includes State values, not lists of States. The use case that required lists of States is now covered by the Mapped state. - #485

0.3.3 alpha

Released October 30, 2018

Features

  • Refactor FlowRunner and TaskRunner into a modular Runner pipelines - #260, #267
  • Add configurable state_handlers for FlowRunners, Flows, TaskRunners, and Tasks - #264, #267
  • Add gmail and slack notification state handlers w/ tutorial - #274, #294

Enhancements

  • Add a new method flow.get_tasks() for easily filtering flow tasks by attribute - #242
  • Add new JinjaTemplate for easily rendering jinja templates - #200
  • Add new PAUSE signal for halting task execution - #246
  • Add new Paused state corresponding to PAUSE signal, and new pause_task utility - #251
  • Add ability to timeout task execution for all executors except DaskExecutor(processes=True) - #240
  • Add explicit unit test to check Black formatting (Python 3.6+) - #261
  • Add ability to set local secrets in user config file - #231, #274
  • Add is_skipped() and is_scheduled() methods for State objects - #266, #278
  • Adds now() as a default start_time for Scheduled states - #278
  • Signal classes now pass arguments to underlying State objects - #279
  • Run counts are tracked via Retrying states - #281

Fixes

  • Flow consistently raises if passed a parameter that doesn't exist - #149

Breaking Changes

  • Renamed scheduled_time -> start_time in Scheduled state objects - #278
  • TaskRunner.check_for_retry no longer checks for Retry states without start_time set - #278
  • Swapped the position of result and message attributes in State initializations, and started storing caught exceptions as results - #283

0.3.2 alpha

Released October 2, 2018

Features

  • Local parallelism with DaskExecutor - #151, #186
  • Resource throttling based on tags - #158, #186
  • Task.map for mapping tasks - #186
  • Added AirFlow utility for importing Airflow DAGs as Prefect Flows - #232

Enhancements

  • Use Netlify to deploy docs - #156
  • Add changelog - #153
  • Add ShellTask - #150
  • Base Task class can now be run as a dummy task - #191
  • New return_failed keyword to flow.run() for returning failed tasks - #205
  • some minor changes to flow.visualize() for visualizing mapped tasks and coloring nodes by state - #202
  • Added new flow.replace() method for swapping out tasks within flows - #230
  • Add debug kwarg to DaskExecutor for optionally silencing dask logs - #209
  • Update BokehRunner for visualizing mapped tasks - #220
  • Env var configuration settings are typed - #204
  • Implement map functionality for the LocalExecutor - #233

Fixes

  • Fix issue with Versioneer not picking up git tags - #146
  • DotDicts can have non-string keys - #193
  • Fix unexpected behavior in assigning tags using contextmanagers - #190
  • Fix bug in initialization of Flows with only edges - #225
  • Remove "bottleneck" when creating pipelines of mapped tasks - #224

Breaking Changes

  • Runner refactor - #221
  • Cleaned up signatures of TaskRunner methods - #171
  • Locally, Python 3.4 users can not run the more advanced parallel executors (DaskExecutor) #186

0.3.1 alpha

Released September 6, 2018

Features

  • Support for user configuration files - #195

Enhancements

  • None

Fixes

  • Let DotDicts accept non-string keys - #193, #194

Breaking Changes

  • None

0.3.0 alpha

Released August 20, 2018

Features

  • BokehRunner - #104, #128
  • Control flow: ifelse, switch, and merge - #92
  • Set state from reference_tasks - #95, #137
  • Add flow Registry - #90
  • Output caching with various cache_validators - #84, #107
  • Dask executor - #82, #86
  • Automatic input caching for retries, manual-only triggers - #78
  • Functional API for Flow definition
  • State classes
  • Signals to transmit State

Enhancements

  • Add custom syntax highlighting to docs - #141
  • Add bind() method for tasks to call without copying - #132
  • Cache expensive flow graph methods - #125
  • Docker environments - #71
  • Automatic versioning via Versioneer - #70
  • TriggerFail state - #67
  • State classes - #59

Fixes

  • None

Breaking Changes

  • None

    This documentation was auto-generated from commit b7107a2
    on September 19, 2019 at 23:51 UTC