Releases: temporalio/sdk-python
1.4.0
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Highlights
Typed Search Attributes
Previously, search attributes were untyped dictionaries with string keys and list values. This causes ambiguity on what types a search attribute key represents and leads to errors. Also, the way search attributes were created or upserted allowed mistakes to occur and was not clear to the server exactly what was expected.
Among other classes, temporalio.common.TypedSearchAttributes
and temporalio.common.SearchAttributeKey
have been added. Search attributes are now best used by creating a global SearchAttributeKey
(e.g. SearchAttributeKey.for_int("my-key")
) and then referencing that key when getting or mutating search attributes. The TypedSearchAttributes
collection (and workflow.typed_search_attributes()
) should now be used when creating/accessing search attributes or a warning will emitted. Users should use the keys when accessing the collection or call value_set
or value_unset
on them to build update objects to pass to temporalio.workflow.upsert_search_attributes
when upserting.
Advanced Metrics Support
Previously, metrics were generated and exposed from our Core layer in a way that made them neither reusable nor exportable in a flexible way. We have now both exposed the ability to record metrics via Core and to received buffered metrics from Core.
To record metrics via Core, we have exposed a temporalio.common.MetricMeter
via temporalio.activity.metric_meter()
, temporalio.workflow.metric_meter()
, and temporalio.runtime.Runtime.metric_meter
. This meter provides a limited interface to generate metrics. It is not meant to abstract everything one can do with a metric system and users are still encouraged to use their own metrics libraries as needed. The workflow metric meter is built to skip recording meters during replay.
To configure metrics in the SDK, a new runtime must be created with telemetry config. To capture metrics emitted by Core, temporalio.runtime.TelemetryConfig.metrics
now accepts a temporalio.runtime.MetricBuffer
instance. That same instance must then be used to call retrieve_updates
on repeatedly and frequently to get metrics coming out of Core. These come as raw events that can then filtered and/or sent to any other metrics system of choice.
Log Forwarding from Core (experimental)
To configure Core logging in the SDK, a new runtime must be created with telemetry config. Previously, Core logs would be sent to the console which wasn't always desirable. Now, the temporalio.runtime.LoggingConfig.forwarding
field can be set with a temporalio.runtime.LogForwardingConfig
class which accepts a logging.Logger
to send core logs to. This is currently experimental while we gather feedback.
Several Minor Additions
temporalio.workflow.Info.get_current_history_size()
added to get history size (get_current_history_length()
was already present)temporalio.workflow.Info.is_continue_as_new_suggested()
added to know whether server has suggested to continue as new- Client keep alive enabled by default (30s interval, 15s timeout), configurable via
keep_alive_config
when connecting - Added
start_delay
totemporalio.client.Client.start_workflow
andexecute_workflow
to support delaying a workflow start - Added experimental support for workflow update which is only available in bleeding edge open source server environments
💥 BREAKING CHANGES
ScheduleActionStartWorkflow.search_attributes
replaced with ScheduleActionStartWorkflow.typed_search_attributes
The rarely used ScheduleActionStartWorkflow.search_attributes
has been replaced by ScheduleActionStartWorkflow.typed_search_attributes
since that object is used in both directions and we can't determine user intent. Users using the old field name in either direction will see an exception immediately on client side (i.e. no behavior changes or accidental misuse). We also added an untyped_search_attributes
field to this class to let untyped ones stay present on update.
Removed temporalio.runtime.TelemetryConfig.tracing
temporalio.runtime.TelemetryConfig.tracing
and its associated class have been removed. This was not general purpose tracing, this was advanced tracing for debugging internal Core logc only and should not have been used by any users. All user-facing tracing remains untouched.
Specific Changes
2023-08-01 - 393e5c8 - Provide Span.Kind for TracingInterceptor (#356)
2023-08-02 - 24fea4c - Expose history size and continue-as-new-suggested (#361)
2023-08-02 - 63f63ae - Upgrade grcpio to 1.53.0 (#359)
2023-08-07 - 59fbccf - Fix interceptors in testing environment (#364)
2023-08-16 - 31358d1 - Add ignore_unknown_fields as an argument to JSONProtoPayloadConverter (#365)
2023-08-24 - 40daaaa - Wait for activity completions on worker shutdown (#370)
2023-08-31 - aa829d3 - Update core/tonic, update metric options, remove core tracing (#380)
2023-09-25 - 3fade95 - Custom metric support (#384)
2023-09-28 - d5edb71 - Fix logging of error on activation failure (#389)
2023-10-05 - d03f356 - Buffered metrics (#391)
2023-10-06 - ded3747 - Encourage threaded activities, warn when max_workers too low, and other small changes (#387)
2023-10-09 - 00878ad - Client keep alive support (#396)
2023-10-24 - 4242dfb - README updates and CI fixes (#403)
2023-10-24 - 97814c2 - Workflow start delay (#406)
2023-10-25 - 2c15ed3 - Workflow Update (#400)
2023-10-30 - fd938c4 - Update last cleanup items (#410)
2023-11-02 - 063b9bf - Update core to get bugfix (#411)
2023-11-02 - 7c0a464 - Typed search attributes (#366)
2023-11-06 - 4802d2f - Log forwarding support (#413)
2023-11-06 - 6dbe2f4 - Fix docstring (#414)
2023-11-07 - d6646a2 - Fix pyd file name for Windows (#417)
1.3.0
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Highlights
Dynamic Workflows, Activities, Signals, and Queries
dynamic=True
can be added to @workflow.defn
, @activity.defn
, @workflow.signal
, and @workflow.query
to make them "dynamic". This means they are unnamed and are called if no other workflow/activity/signal/query match a name from the server when called. The workflow run or activity signature must be a single parameter typed with Sequence[temporalio.common.RawValue]
whereas the signal or query signature must be two parameters typed with str
and Sequence[temporalio.common.RawValue]
. Signals and queries that used the old form of dynamic=True
which didn't require specific signatures are deprecated and will emit a warning.
To support this we added workflow.payload_converter()
and activity.payload_converter()
functions to obtain a payload converter to convert raw values. We also added a temporalio.common.RawValue
class which, when accepted or returned, will just use the raw payload (but it will still use codecs).
See the README for more information.
💥 NOTE: A slight behavior change was made to interceptors to support this. Previously, we would call signal/query interceptor and then check if there was a valid signal/query with that name. Now we check that a valid signal/query handler exists before calling the interceptor. This should not effect most users.
Use Latest Temporal CLI Dev Server Instead of Temporalite
temporalio.testing.WorkflowEnvironment.start_local
now uses the latest Temporal CLI release (which is up to date with latest server) instead of Temporalite. Any use of advanced, documented-experimental temporalite_
-prefixed parameters should now use the dev_server_
-prefixed ones.
Experimental Worker Versioning Support
Support has been added for the brand new Worker Versioning feature. This feature is currently experimental and can only be enabled when running the open source server and setting some special options. Samples for the versioning feature will be present soon.
Schedules GA
The experimental tag for the scheduling API is removed.
General Improvements
- Can now set
result_type
when not using type-safe activity, child workflow, and query calls to get properly typed results (but users should always prefer the type-safe forms) - We now eagerly error if an invalid workflow call is attempted inside a query. In some cases this may have technically worked before but is invalid and will now properly error.
Specific Changes
2023-05-31 - b0daaa3 - Create CODEOWNERS (#323)
2023-06-06 - e1d983e - Add Semgrep scanning (#324)
2023-06-16 - 6a3662c - Remove experimental tag for schedules and add limited action check (#330)
2023-07-05 - 07b2043 - Update core and update Rust dependencies (#337)
2023-07-05 - b75a567 - Allow converter failures to fail workflow and other minor things (#329)
2023-07-06 - aff198b - Set result types for string-based activity, child workflow, and query calls (#334)
2023-07-07 - 677f8be - Move from Temporalite to Temporal CLI dev server (#339)
2023-07-10 - d7238cd - Worker Versioning (#340)
2023-07-11 - 317dd9b - Add Versioning Intents to Commands (#342)
2023-07-11 - b902ec8 - Swallow Python exceptions better on workflow GC from eviction (#341)
2023-07-12 - 34681ca - Reachability type wasn't passed through all the way (#343)
2023-07-14 - 83bbc36 - Dynamic workflows, activities, signals, and queries (#346)
2023-07-17 - 60b72c6 - Link to Python SDK launch blog post (#350)
2023-07-18 - a17c0ef - Disallow most workflow operations in read-only context (#351)
2023-07-18 - b9df212 - Log and drop signals whose params can't be deserialized (and other error handling improvements) (#349)
1.2.0
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Highlights
No significant changes from previous version, mostly bug fixes.
Specific Changes
2023-03-30 - 4ad2e64 - Use CDN for README image, fixes #302 (#308)
2023-03-30 - 61166af - Minor doc update (#305)
2023-03-30 - 72bdca7 - Update core (#307)
2023-03-30 - d790468 - Call JSON type converters recursively (#304)
2023-04-03 - dbf96fd - Pass through global telemetry tags (#303)
2023-05-01 - a4224a2 - Update core and release version (#314)
1.1.0
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Highlights
Scheduling API
Python client now has support for creating and working with schedules.
💥 Breaking Changes
When a workflow is already running, we will now raise a WorkflowAlreadyStartedError
error when trying to start instead of the default RPCError
we do for all other errors.
Specific Changes
2023-01-13 - 1a260c3 - Mark local activities as experimental (#252)
2023-01-13 - fdf8b65 - Fail activity worker on broken executor (#253)
2023-01-17 - 677262a - Add missing TERMINATE_IF_RUNNING
to WorkflowIDReusePolicy
(#257)
2023-01-23 - 82f723b - Properly encode failure encoded attributes (#251)
2023-01-23 - f22efea - Support PEP 604 union annotations (#256)
2023-02-07 - 832c375 - Add warning and direct to Pydantic converter sample if Pydantic models are detected (#249)
2023-02-08 - 3c8ee0a - Minor fixes (#268)
2023-02-08 - b52e04e - Add JSONTypeConverter (#269)
2023-02-09 - ae9038c - Fix gRPC health package clash (#270)
2023-02-13 - 1fa36c2 - Force Poetry setup file (#271)
2023-02-15 - 7a2d703 - Change types-protobuf dependency spec to match protobuf (#278)
2023-02-16 - 2ce6d9f - Update Rust dependencies (#281)
2023-02-16 - 852ff2f - Keep extra log attributes (#280)
2023-02-17 - fbcba65 - Schedules (#279)
2023-02-21 - c6e204a - Minor updates (#283)
1.0.0
First Stable Release! 🎉
This is the first stable release of the Python SDK! Since Python is now GA, we provide the same stability guarantees as all other SDKs - primarily that we vow not to break workflow history in newer versions.
Get from PyPI.
💥 Breaking Changes
Minor change since last beta - for those configuring a custom runtime for telemetry purposes via the experimental temporal.bridge.runtime.Runtime
, they must now use the also-experimental temporal.runtime.Runtime
class instead.
Specific Changes
2022-12-08 - 1f72c98 - Added more context to the README sections (#225)
2023-01-03 - 22e8d92 - Update min proto version and fix gRPC optional dependency (#231)
2023-01-04 - 57bf9e6 - Minor type improvements (#239)
2023-01-04 - f252e36 - Expose core "runtime" as temporalio.runtime.Runtime (#240)
0.1b4
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Highlights
Support for both Protobuf 3.x and 4.x libraries
We now generate Protobuf via 3.x and ensure it works with 3.x and 4.x Python libraries.
Sync activities now raise exception in thread on cancellation
Now, unless opted out, sync multithread activities will raise an exception in thread when cancellation is received.
Simplify designating passthrough modules in the sandbox
Since we are encouraging passing through third party modules, we have made it simpler to do so. Now the imports can simply be wrapped with with workflow.unsafe.imports_passed_through():
or the SandboxRunner
's restrictions
can just have passthrough_modules
as a set of strings (or just SandboxRunner(restrictions=SandboxRestrictions.default.with_passthrough_modules("other.module")
).
💥 Breaking Changes
- Sync threaded activities now have exceptions raised inside of them on cancellation whereas before you had to explicitly check for cancellation
SandboxRestriction
'spassthrough_modules
changed fromSandboxMatcher
type to aSet[str]
Specific Changes
2022-11-15 - 99e36cb - Sandbox and type fixes (#202)
2022-11-18 - a7d6fc3 - Add banner to README (#205)
2022-11-18 - b04813c - Add sdk-features CI trigger (#206)
2022-11-22 - e37b500 - Add table of contents to README (#209)
2022-11-29 - 89b6e66 - Support both protobuf 3 and 4 (#215)
2022-12-01 - 6a43919 - Support raising cancellation in sync multithreaded activities (#217)
2022-12-02 - cc679b9 - Sandbox Improvements (#219)
2022-12-05 - 06828ea - Update SDK core and minor updates (#221)
0.1b3
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Highlights
Workflow Sandbox
There is now an enabled-by-default workflow sandbox that attempts to ensure determinism via workflow isolation and
restricted access to known non-deterministic standard library calls. If you are importing third-party libraries inside
the same file as your workflow, this can incur a noticeable perf/mem penalty.
Also, if your workflow previously worked out of the sandbox, it may no longer work.
These issues can be mitigated. See https://github.com/temporalio/sdk-python#workflow-sandbox.
Listing Workflows and Multi-History Replayer
API improvements:
Client.list_workflows()
- returns an async iterator of workflows based on
visibility filterWorkflowHandle.fetch_history_events()
- returns an async iterator of history eventsWorkflowHandle.fetch_history()
- helper for the above that returns a fullWorkflowHistory
WorkflowExecutionAsyncIterator.map_histories()
- returns an async iterator ofWorkflowHistory
based on async
iterator of workflowsReplayWorkflow.replay_workflow()
- replays singleWorkflowHistory
ReplayWorkflow.replay_workflows()
- replays async iterator ofWorkflowHistory
collecting resultsReplayWorkflow.workflow_replay_iterator()
- async context manager providing an async iterator over replay results
from an async iterator ofWorkflowHistory
Using these APIs, users can now easily load many workflows and run their histories through a replayer. Among other
benefits, this can help users know how code changes might react on previous workflow executions.
Python 3.11 and Linux ARM Support
Python 3.11 is properly supported and early results show some speed improvement. Also, PyPI releases will now include
Linux ARM wheels.
Failure Converter
A custom temporalio.converter.FailureConverter
can now be set as the DataConverter.failure_converter_class
. In
addition to custom error conversion, this is also useful to set to
temporalio.converter.DefaultFailureConverterWithEncodedAttributes
to force all error messages and stack traces to be
put in the encoded section of the failure, allowing them to run through a PayloadCodec
for encryption.
Worker Fatal Errors
Worker fatal errors are rare, but previously they were not surfaced when using async with
. Now, similar to
asyncio.timeout, the current task will be
cancelled on fatal error and that cancel will be caught at the end of the async context manager and the reason for fatal
will be raised. The alternative to async with
, Worker.run()
, now also raises fatal errors.
Note, fatal errors only occur after a while of internal retries.
💥 Breaking Changes
Not many and they are on less-often used parts.
⚠️ Multiple patched
History Incompatibility
If you called patched
for the same patch ID multiple times in the same workflow, this new release will be incompatible
with that workflow and you'll get non-determinism errors. patched
is now memoized.
API Breaking Changes
- Workflow sandbox may break registering/running workflows that it didn't used to
temporalio.worker.Replayer.replay_workflow
now takes atemporalio.client.WorkflowHistory
object instead of a proto
object or JSON str/dicttemporalio.client.WorkflowExecutionDescription.raw
renamed toraw_description
- Failed queries now raise
temporalio.client.WorkflowQueryFailedError
instead oftemporalio.client.RPCError
- Configuring telemetry has changed from using the global
temporalio.bridge.telemetry.init_telemetry
package to making
a newtelemetryio.bridge.runtime.Runtime
and passing that around.
Specific Changes
2022-10-03 - 0dd2312 - Move API reference site to Vercel (#148)
2022-10-19 - e436ecc - Multiple History Replay support (#158)
2022-10-28 - 0126e6e - Workflow sandbox (#164)
2022-10-28 - 5259f4c - Preload type hints and remove global lookup cache (#168)
2022-10-28 - 657a13d - Don't require timer presence when fired (#169)
2022-10-28 - bc62186 - Remove Go server from Python tests (#170)
2022-10-31 - e16bbc3 - ARM runner and Python 3.11 support (#172)
2022-11-01 - 656b77b - Add simple benchmark script (#180)
2022-11-01 - b4b3f82 - Support for list workflow, fetch workflow history, and iterable replay results (#175)
2022-11-03 - cfdc548 - Add StrEnum conversion support (#177)
2022-11-04 - 65c4025 - Prefix private modules with underscore (#183)
2022-11-07 - 2546871 - Minor updates (#186)
2022-11-07 - 6b9f554 - Propagate fatal worker errors (#188)
2022-11-07 - 87fd193 - Clarity on client thread safety and sync activity cancel (#189)
2022-11-07 - 929dc81 - Failure converter (#185)
2022-11-07 - a75256e - Feature/datetime conversion fix (#179)
2022-11-08 - 3901df8 - Memoize patched calls and support UUID conversion (#192)
2022-11-09 - 87b28a7 - Add missing UUID test case (#193)
2022-11-10 - eacdca8 - Sdk core related updates (#191)
0.1b2
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Highlights
Test Framework
temporalio.testing
package now includes an ActivityEnvironment
for mocking heartbeating and cancellation for activity code. See https://github.com/temporalio/sdk-python#testing-1 for more details.
temporalio.testing
package also now includes a WorkflowEnvironment
for testing workflows. The WorkFlowEnvironment
can be started in time-skipping mode which, by default, will automatically forward time to the next event when a workflow's result is waited on. For a full, local Temporal server or a time-skipping server, APIs are included that automatically download the binaries needed to run. See https://github.com/temporalio/sdk-python#testing for more details.
Replayer
The temporalio.worker
package now has a Replayer
which, given workflows and a history, can replay an entire workflow run locally. This is very useful for debugging and confirming code-change safety. See https://github.com/temporalio/sdk-python#workflow-replay for more details.
Advanced Type Hinting Support
Nested dataclasses, Pydantic classes, optionals, unions, collections, etc are now supported for deserialization if the workflow/activity param/return types are properly type hinted. See https://github.com/temporalio/sdk-python#data-conversion for more details.
Client Updates
- gRPC is now an optional dependency
Client.workflow_service
andClient.operator_service
are now available for direct API calls to Temporal- Added
Client.service_client
which, in addition to having access to the two services from the previous bullet, also has acheck_health
call to perform gRPC health check rpc_metadata
can be now added at the client level and/or to every API call which will set API headers (useful for proxies and other things)rpc_timeout
can now be added to every API call to set a timeout on the call itself- Added
lazy
parameter toClient.connect
which avoids eager connection (cannot use these for workers)
Breaking Changes
Most breaking changes were very minor:
Client.service
is nowClient.workflow_service
static_headers
parameter inClient.connect
is nowrpc_metadata
- Most things that accepted an
Iterable
were changed to accept aSequence
interceptors
parameter inClient.connect
no longer accepts callables, just theInterceptor
instances it always hadmax_concurrent_wft_polls
andmax_concurrent_at_polls
parameters inClient.connect
were changed tomax_concurrent_workflow_task_polls
andmax_concurrent_activity_task_polls
respectively
Specific Changes
2022-08-05 - 043cdf3 - Minor README update (#99)
2022-08-10 - 8171049 - Fix activity class type hinting when not instantiated (#104)
2022-08-12 - efc1c7b - Advanced type hinting support (#102)
2022-08-16 - c965c47 - gRPC Service Improvements (#106)
2022-08-19 - 5b202c0 - Replayer (#108)
2022-08-25 - 4db14cc - README: Fix import name in quickstart (#112)
2022-09-01 - 07da1b9 - Test Framework (#121)
2022-09-07 - 1c9a59e - Several minor issues (#127)
2022-09-16 - 5b0e1c8 - Update and dogfood test framework (#132)
2022-09-19 - 580b6fc - Skip conditions during patch and query jobs (#137)
2022-09-19 - bcc0132 - Update protobuf (#136)
0.1b1
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Highlights
Updates
- Instead of
http://host:port
, the target endpoint is nowhost:port
to align with other SDKs (warns if scheme is present, will be an error next version). - Support for activities as methods on instances instead of just top-level functions. Using an instance with, say a DB client as an instance property, is a good way to have it accessible from inside the activity. The
@activity.defn
decorator can be set on the method, and helpers likeworkflow.execute_activity_method
are present to help typing/invocation. - Support for activities as instances of classes with
__call__
implemented. The@activity.defn
decorator can be set on the class in that case, and helpers likeworkflow.execute_activity_class
are present to help typing/invocation. - Added many more fields to
client.WorkflowExecutionDescription
- Several bug fixes
OpenTelemetry
An OpenTelemetry interceptor can now be provided that traces workflows and activities. Due to Temporal's replay capabilities where a workflow may start in one place and finish in another at a completely different time, the workflow tracing spans do not have durations, but they properly and deterministically represent the things done by a workflow. They are hierarchical and pass across servers so if, for example, an activity made an HTTP call, the HTTP span would appear in the activity span that would appear in the workflow span. See the README for more information.
Specific Changes
2022-06-15 - 431ca19 - macOS M1 Python 3.10+ gRPC README note (#51)
2022-06-15 - 6ac791f - Fix CI Rust cache working directory (#50)
2022-06-27 - 25caaf0 - Remove macOS-ARM support from missing features list (#53)
2022-07-01 - 0392468 - Use cibuildwheel and update grpcio (#57)
2022-07-13 - 7456f44 - Remove activity info retry policy (#65)
2022-07-13 - a47f573 - Add proper version to client (#67)
2022-07-13 - a5c455b - Support IntEnum in converter (#74)
2022-07-13 - d91593d - Add get_current_history_length() to workflow info (#73)
2022-07-14 - 232446a - Additional high-level describe details (#72)
2022-07-14 - 5926b76 - Minor exception-related updates (#75)
2022-07-14 - a079a5e - Improves typing of SearchAttributes (#76)
2022-07-14 - b8a80e0 - Type refactoring and activity class/method support (#69)
2022-07-14 - e5bd9a9 - Properly handle uncaught child/activity cancel during workflow cancel (#71)
2022-07-21 - a569582 - Many changes including OpenTelemetry support (#77)
2022-08-01 - 2288f41 - Use host:port instead of URL and TLS test fixes (#86)
2022-08-01 - dae22ac - Fix wait_condition timeout issue (#90)
2022-08-04 - f560680 - Fix cancel before run (#94)
0.1a2
Highlights
Workflows
This release includes full Temporal workflow support.
Activity Definitions
Activities are now marked with @activity.defn
and name can be overridden there instead of needing to provide a dict to the worker.
macOS M1 Support
macOS ARM-based packages are now uploaded to PyPI.
Specific Changes
2022-03-18 - c1efe42 - Readme updates (#13)
2022-03-22 - fc528ee - Move to proper async heartbeat queuing (#14)
2022-03-23 - 256bc4a - Worker package refactor (#15)
2022-03-28 - 23aa7ae - @activity.defn support and other minor things (#16)
2022-05-27 - f1aa1c9 - Workflow implementation (#21)
2022-06-01 - 4657453 - Async activity support and describe interceptor (#32)
2022-06-01 - 47be211 - Update SDK Core and PyO3 (#31)
2022-06-03 - 39eb19d - Add API doc publishing step (#38)
2022-06-03 - 962a5e8 - Patch support and random/UUID helpers (#35)
2022-06-03 - a8e842b - Move to pydoctor for API docs (#34)
2022-06-09 - 0f134e2 - Add generated protos (#42)
2022-06-09 - 81e17c0 - More tests, docs, and minor things (#41)
2022-06-10 - 155afe2 - Dependency updates, Core proto updates, and other minor things (#46)
2022-06-10 - 2d4405e - Clarify README (#44)
2022-06-10 - 8ffa58e - Search attributes (#43)