diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 8ed53fe1..4a101818 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -1,4 +1,7 @@ name: Continuous Integration +permissions: + contents: read + actions: write on: # rebuild any PRs and main branch changes pull_request: push: @@ -12,22 +15,22 @@ jobs: strategy: fail-fast: true matrix: - python: ["3.10", "3.13"] + python: ["3.10", "3.14"] os: [ubuntu-latest, macos-intel, macos-arm, windows-latest] include: - os: macos-intel - runsOn: macos-13 + runsOn: macos-15-intel - os: macos-arm - runsOn: macos-14 + runsOn: macos-latest runs-on: ${{ matrix.runsOn || matrix.os }} steps: - - uses: astral-sh/setup-uv@v5 + - uses: astral-sh/setup-uv@cec208311dfd045dd5311c1add060b2062131d57 # v8 - name: Print build information run: "echo head_ref: ${{ github.head_ref }}, ref: ${{ github.ref }}, os: ${{ matrix.os }}, python: ${{ matrix.python }}" - - uses: actions/checkout@v4 + - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6 with: submodules: recursive - - uses: actions/setup-python@v5 + - uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6 with: python-version: ${{ matrix.python }} - run: uv tool install poethepoet @@ -53,7 +56,7 @@ jobs: uv run gevent_async/test/run_combined.py - name: Upload junit-xml artifacts - uses: actions/upload-artifact@v4 + uses: actions/upload-artifact@bbbca2ddaa5d8feaa63e36b76fdaad77386f024f # v7 if: always() with: name: junit-xml--${{github.run_id}}--${{github.run_attempt}}--${{ matrix.python }}--${{ matrix.os }} diff --git a/README.md b/README.md index 43d2cba6..d4d6a61b 100644 --- a/README.md +++ b/README.md @@ -55,6 +55,7 @@ Some examples require extra dependencies. See each sample's directory for specif * [hello_search_attributes](hello/hello_search_attributes.py) - Start workflow with search attributes then change while running. * [hello_signal](hello/hello_signal.py) - Send signals to a workflow. + * [hello update](hello/hello_update.py) - Send a request to and a response from a client to a workflow execution. * [activity_worker](activity_worker) - Use Python activities from a workflow in another language. * [batch_sliding_window](batch_sliding_window) - Batch processing with a sliding window of child workflows. @@ -65,9 +66,11 @@ Some examples require extra dependencies. See each sample's directory for specif * [custom_decorator](custom_decorator) - Custom decorator to auto-heartbeat a long-running activity. * [custom_metric](custom_metric) - Custom metric to record the workflow type in the activity schedule to start latency. * [dsl](dsl) - DSL workflow that executes steps defined in a YAML file. +* [eager_wf_start](eager_wf_start) - Run a workflow using Eager Workflow Start * [encryption](encryption) - Apply end-to-end encryption for all input/output. * [env_config](env_config) - Load client configuration from TOML files with programmatic overrides. * [gevent_async](gevent_async) - Combine gevent and Temporal. +* [hello_standalone_activity](hello_standalone_activity) - Use activities without using a workflow. * [langchain](langchain) - Orchestrate workflows for LangChain. * [message_passing/introduction](message_passing/introduction/) - Introduction to queries, signals, and updates. * [message_passing/safe_message_handlers](message_passing/safe_message_handlers/) - Safely handling updates and signals. @@ -83,6 +86,7 @@ Some examples require extra dependencies. See each sample's directory for specif * [updatable_timer](updatable_timer) - A timer that can be updated while sleeping. * [worker_specific_task_queues](worker_specific_task_queues) - Use unique task queues to ensure activities run on specific workers. * [worker_versioning](worker_versioning) - Use the Worker Versioning feature to more easily version your workflows & other code. +* [worker_multiprocessing](worker_multiprocessing) - Leverage Python multiprocessing to parallelize workflow tasks and other CPU bound operations by running multiple workers. ## Test diff --git a/activity_worker/activity_worker.py b/activity_worker/activity_worker.py index 3e613169..986b0ae9 100644 --- a/activity_worker/activity_worker.py +++ b/activity_worker/activity_worker.py @@ -4,6 +4,7 @@ from temporalio import activity from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker task_queue = "say-hello-task-queue" @@ -18,7 +19,9 @@ async def say_hello_activity(name: str) -> str: async def main(): # Create client to localhost on default namespace - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) # Run activity worker async with Worker(client, task_queue=task_queue, activities=[say_hello_activity]): diff --git a/batch_sliding_window/sliding_window_workflow.py b/batch_sliding_window/sliding_window_workflow.py index 87e4110d..a416fb99 100644 --- a/batch_sliding_window/sliding_window_workflow.py +++ b/batch_sliding_window/sliding_window_workflow.py @@ -108,6 +108,7 @@ async def _execute(self, input: SlidingWindowWorkflowInput) -> int: # Start child workflow for this record child_id = f"{workflow_id}/{record.id}" + self.current_records.add(record.id) child_handle = await workflow.start_child_workflow( RecordProcessorWorkflow.run, record, @@ -117,7 +118,6 @@ async def _execute(self, input: SlidingWindowWorkflowInput) -> int: ) self.children_started_by_this_run.append(child_handle) - self.current_records.add(record.id) return await self._continue_as_new_or_complete(input) diff --git a/batch_sliding_window/starter.py b/batch_sliding_window/starter.py index d9a24971..7e3b1fb3 100644 --- a/batch_sliding_window/starter.py +++ b/batch_sliding_window/starter.py @@ -6,6 +6,7 @@ import logging from temporalio.client import Client +from temporalio.envconfig import ClientConfig from batch_sliding_window.batch_workflow import ( ProcessBatchWorkflow, @@ -19,7 +20,9 @@ async def main(): logging.basicConfig(level=logging.INFO) # Create client - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) # Create unique workflow ID with timestamp timestamp = datetime.datetime.now().strftime("%Y%m%d_%H%M%S") diff --git a/batch_sliding_window/worker.py b/batch_sliding_window/worker.py index c0968bc3..a72ed96c 100644 --- a/batch_sliding_window/worker.py +++ b/batch_sliding_window/worker.py @@ -6,6 +6,7 @@ from temporalio import worker from temporalio.client import Client +from temporalio.envconfig import ClientConfig from batch_sliding_window.batch_workflow import ProcessBatchWorkflow from batch_sliding_window.record_loader_activity import RecordLoader @@ -19,7 +20,9 @@ async def main(): logging.basicConfig(level=logging.INFO) # Create client - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) # Create RecordLoader activity with sample data record_loader = RecordLoader(record_count=90) diff --git a/bedrock/basic/run_worker.py b/bedrock/basic/run_worker.py index fee8aa5d..085b695c 100644 --- a/bedrock/basic/run_worker.py +++ b/bedrock/basic/run_worker.py @@ -3,6 +3,7 @@ import logging from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker from workflows import BasicBedrockWorkflow @@ -11,7 +12,10 @@ async def main(): # Create client connected to server at the given address - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) + activities = BedrockActivities() # Run the worker diff --git a/bedrock/basic/send_message.py b/bedrock/basic/send_message.py index 1b4cc995..692a4927 100644 --- a/bedrock/basic/send_message.py +++ b/bedrock/basic/send_message.py @@ -2,12 +2,15 @@ import sys from temporalio.client import Client +from temporalio.envconfig import ClientConfig from workflows import BasicBedrockWorkflow async def main(prompt: str) -> str: # Create client connected to server at the given address - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) # Start the workflow workflow_id = "basic-bedrock-workflow" diff --git a/bedrock/basic/workflows.py b/bedrock/basic/workflows.py index 9968704d..0ebf0216 100644 --- a/bedrock/basic/workflows.py +++ b/bedrock/basic/workflows.py @@ -10,7 +10,6 @@ class BasicBedrockWorkflow: @workflow.run async def run(self, prompt: str) -> str: - workflow.logger.info("Prompt: %s" % prompt) response = await workflow.execute_activity_method( diff --git a/bedrock/entity/end_chat.py b/bedrock/entity/end_chat.py index 49125306..19984202 100644 --- a/bedrock/entity/end_chat.py +++ b/bedrock/entity/end_chat.py @@ -2,12 +2,15 @@ import sys from temporalio.client import Client +from temporalio.envconfig import ClientConfig from workflows import EntityBedrockWorkflow async def main(): # Create client connected to server at the given address - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) workflow_id = "entity-bedrock-workflow" diff --git a/bedrock/entity/get_history.py b/bedrock/entity/get_history.py index 1600886e..ffcfa31e 100644 --- a/bedrock/entity/get_history.py +++ b/bedrock/entity/get_history.py @@ -1,12 +1,16 @@ import asyncio from temporalio.client import Client +from temporalio.envconfig import ClientConfig from workflows import EntityBedrockWorkflow async def main(): # Create client connected to server at the given address - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) + workflow_id = "entity-bedrock-workflow" handle = client.get_workflow_handle(workflow_id) diff --git a/bedrock/entity/run_worker.py b/bedrock/entity/run_worker.py index 3e3b1e64..ecc76c52 100644 --- a/bedrock/entity/run_worker.py +++ b/bedrock/entity/run_worker.py @@ -3,6 +3,7 @@ import logging from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker from workflows import EntityBedrockWorkflow @@ -11,7 +12,10 @@ async def main(): # Create client connected to server at the given address - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) + activities = BedrockActivities() # Run the worker diff --git a/bedrock/entity/send_message.py b/bedrock/entity/send_message.py index 177b4b69..be7897f0 100644 --- a/bedrock/entity/send_message.py +++ b/bedrock/entity/send_message.py @@ -2,12 +2,15 @@ import sys from temporalio.client import Client +from temporalio.envconfig import ClientConfig from workflows import BedrockParams, EntityBedrockWorkflow async def main(prompt): # Create client connected to server at the given address - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) workflow_id = "entity-bedrock-workflow" diff --git a/bedrock/entity/workflows.py b/bedrock/entity/workflows.py index 3dfdf530..710f0916 100644 --- a/bedrock/entity/workflows.py +++ b/bedrock/entity/workflows.py @@ -31,7 +31,6 @@ async def run( self, params: BedrockParams, ) -> str: - if params and params.conversation_summary: self.conversation_history.append( ("conversation_summary", params.conversation_summary) diff --git a/bedrock/signals_and_queries/get_history.py b/bedrock/signals_and_queries/get_history.py index 0bdf0861..2bd6049f 100644 --- a/bedrock/signals_and_queries/get_history.py +++ b/bedrock/signals_and_queries/get_history.py @@ -1,12 +1,16 @@ import asyncio from temporalio.client import Client +from temporalio.envconfig import ClientConfig from workflows import SignalQueryBedrockWorkflow async def main(): # Create client connected to server at the given address - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) + workflow_id = "bedrock-workflow-with-signals" handle = client.get_workflow_handle(workflow_id) diff --git a/bedrock/signals_and_queries/run_worker.py b/bedrock/signals_and_queries/run_worker.py index b3e709a9..9d611588 100644 --- a/bedrock/signals_and_queries/run_worker.py +++ b/bedrock/signals_and_queries/run_worker.py @@ -3,6 +3,7 @@ import logging from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker from workflows import SignalQueryBedrockWorkflow @@ -11,7 +12,10 @@ async def main(): # Create client connected to server at the given address - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) + activities = BedrockActivities() # Run the worker diff --git a/bedrock/signals_and_queries/send_message.py b/bedrock/signals_and_queries/send_message.py index 67b8b37e..35a9df1c 100644 --- a/bedrock/signals_and_queries/send_message.py +++ b/bedrock/signals_and_queries/send_message.py @@ -2,12 +2,15 @@ import sys from temporalio.client import Client +from temporalio.envconfig import ClientConfig from workflows import SignalQueryBedrockWorkflow async def main(prompt): # Create client connected to server at the given address - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) workflow_id = "bedrock-workflow-with-signals" inactivity_timeout_minutes = 1 diff --git a/cloud_export_to_parquet/create_schedule.py b/cloud_export_to_parquet/create_schedule.py index f425d4c6..1f40a3ed 100644 --- a/cloud_export_to_parquet/create_schedule.py +++ b/cloud_export_to_parquet/create_schedule.py @@ -10,6 +10,7 @@ ScheduleSpec, WorkflowFailureError, ) +from temporalio.envconfig import ClientConfig from cloud_export_to_parquet.workflows import ( ProtoToParquet, @@ -20,7 +21,10 @@ async def main() -> None: """Main function to run temporal workflow.""" # Create client connected to server at the given address - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) + # TODO: update s3_bucket and namespace to the actual usecase wf_input = ProtoToParquetWorkflowInput( num_delay_hour=2, diff --git a/cloud_export_to_parquet/run_worker.py b/cloud_export_to_parquet/run_worker.py index df02de11..6062abcd 100644 --- a/cloud_export_to_parquet/run_worker.py +++ b/cloud_export_to_parquet/run_worker.py @@ -2,6 +2,7 @@ from concurrent.futures import ThreadPoolExecutor from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker from temporalio.worker.workflow_sandbox import ( SandboxedWorkflowRunner, @@ -18,7 +19,9 @@ async def main() -> None: """Main worker function.""" # Create client connected to server at the given address - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) # Run the worker worker: Worker = Worker( diff --git a/cloud_export_to_parquet/workflows.py b/cloud_export_to_parquet/workflows.py index 2d3edd88..3c9fe270 100644 --- a/cloud_export_to_parquet/workflows.py +++ b/cloud_export_to_parquet/workflows.py @@ -7,9 +7,9 @@ with workflow.unsafe.imports_passed_through(): from cloud_export_to_parquet.data_trans_activities import ( DataTransAndLandActivityInput, + GetObjectKeysActivityInput, data_trans_and_land, get_object_keys, - GetObjectKeysActivityInput, ) from dataclasses import dataclass diff --git a/context_propagation/starter.py b/context_propagation/starter.py index 2865eee2..4d141dc0 100644 --- a/context_propagation/starter.py +++ b/context_propagation/starter.py @@ -2,6 +2,7 @@ import logging from temporalio.client import Client +from temporalio.envconfig import ClientConfig from context_propagation import interceptor, shared, workflows @@ -12,9 +13,12 @@ async def main(): # Set the user ID shared.user_id.set("some-user") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + # Connect client client = await Client.connect( - "localhost:7233", + **config, # Use our interceptor interceptors=[interceptor.ContextPropagationInterceptor()], ) diff --git a/context_propagation/worker.py b/context_propagation/worker.py index 14d954da..70ffa368 100644 --- a/context_propagation/worker.py +++ b/context_propagation/worker.py @@ -2,6 +2,7 @@ import logging from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker from context_propagation import activities, interceptor, workflows @@ -12,9 +13,12 @@ async def main(): logging.basicConfig(level=logging.INFO) + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + # Connect client client = await Client.connect( - "localhost:7233", + **config, # Use our interceptor interceptors=[interceptor.ContextPropagationInterceptor()], ) diff --git a/custom_converter/shared.py b/custom_converter/shared.py index c94b8dbb..2aa71f16 100644 --- a/custom_converter/shared.py +++ b/custom_converter/shared.py @@ -54,7 +54,7 @@ def __init__(self) -> None: # Just add ours as first before the defaults super().__init__( GreetingEncodingPayloadConverter(), - *DefaultPayloadConverter.default_encoding_payload_converters + *DefaultPayloadConverter.default_encoding_payload_converters, ) diff --git a/custom_converter/starter.py b/custom_converter/starter.py index 54fdf162..cc500ae4 100644 --- a/custom_converter/starter.py +++ b/custom_converter/starter.py @@ -1,6 +1,7 @@ import asyncio from temporalio.client import Client +from temporalio.envconfig import ClientConfig from custom_converter.shared import ( GreetingInput, @@ -11,9 +12,12 @@ async def main(): + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + # Connect client client = await Client.connect( - "localhost:7233", + **config, # Without this we get: # TypeError: Object of type GreetingInput is not JSON serializable data_converter=greeting_data_converter, diff --git a/custom_converter/worker.py b/custom_converter/worker.py index 96214cdd..17186aee 100644 --- a/custom_converter/worker.py +++ b/custom_converter/worker.py @@ -1,6 +1,7 @@ import asyncio from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker from custom_converter.shared import greeting_data_converter @@ -10,9 +11,12 @@ async def main(): + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + # Connect client client = await Client.connect( - "localhost:7233", + **config, # Without this, when trying to run a workflow, we get: # KeyError: 'Unknown payload encoding my-greeting-encoding data_converter=greeting_data_converter, diff --git a/custom_decorator/starter.py b/custom_decorator/starter.py index 98bf542f..aff675da 100644 --- a/custom_decorator/starter.py +++ b/custom_decorator/starter.py @@ -1,13 +1,16 @@ import asyncio from temporalio.client import Client +from temporalio.envconfig import ClientConfig from custom_decorator.worker import WaitForCancelWorkflow async def main(): # Connect client - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) # Start the workflow handle = await client.start_workflow( diff --git a/custom_decorator/worker.py b/custom_decorator/worker.py index 7d0d25ca..0d25145b 100644 --- a/custom_decorator/worker.py +++ b/custom_decorator/worker.py @@ -4,6 +4,7 @@ from temporalio import activity, workflow from temporalio.client import Client from temporalio.common import RetryPolicy +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker from custom_decorator.activity_utils import auto_heartbeater @@ -51,7 +52,9 @@ def cancel_activity(self) -> None: async def main(): # Connect client - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) # Run a worker for the workflow async with Worker( diff --git a/custom_metric/starter.py b/custom_metric/starter.py index ded3a626..aeb6d2b7 100644 --- a/custom_metric/starter.py +++ b/custom_metric/starter.py @@ -2,15 +2,15 @@ import uuid from temporalio.client import Client +from temporalio.envconfig import ClientConfig from custom_metric.workflow import StartTwoActivitiesWorkflow async def main(): - - client = await Client.connect( - "localhost:7233", - ) + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) await client.start_workflow( StartTwoActivitiesWorkflow.run, diff --git a/custom_metric/worker.py b/custom_metric/worker.py index 9ffad207..21dd9c93 100644 --- a/custom_metric/worker.py +++ b/custom_metric/worker.py @@ -3,6 +3,7 @@ from temporalio import activity from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.runtime import PrometheusConfig, Runtime, TelemetryConfig from temporalio.worker import ( ActivityInboundInterceptor, @@ -24,7 +25,6 @@ def intercept_activity( class CustomScheduleToStartInterceptor(ActivityInboundInterceptor): async def execute_activity(self, input: ExecuteActivityInput): - schedule_to_start = ( activity.info().started_time - activity.info().current_attempt_scheduled_time @@ -39,7 +39,7 @@ async def execute_activity(self, input: ExecuteActivityInput): unit="duration", ) histogram.record( - schedule_to_start, {"workflow_type": activity.info().workflow_type} + schedule_to_start, {"workflow_type": activity.info().workflow_type or ""} ) return await self.next.execute_activity(input) @@ -48,8 +48,10 @@ async def main(): runtime = Runtime( telemetry=TelemetryConfig(metrics=PrometheusConfig(bind_address="0.0.0.0:9090")) ) + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") client = await Client.connect( - "localhost:7233", + **config, runtime=runtime, ) worker = Worker( diff --git a/dsl/starter.py b/dsl/starter.py index e530b10e..eb0f328d 100644 --- a/dsl/starter.py +++ b/dsl/starter.py @@ -6,6 +6,7 @@ import dacite import yaml from temporalio.client import Client +from temporalio.envconfig import ClientConfig from dsl.workflow import DSLInput, DSLWorkflow @@ -16,7 +17,9 @@ async def main(dsl_yaml: str) -> None: dsl_input = dacite.from_dict(DSLInput, yaml.safe_load(dsl_yaml)) # Connect client - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) # Run workflow result = await client.execute_workflow( diff --git a/dsl/worker.py b/dsl/worker.py index 9945492e..e52ec872 100644 --- a/dsl/worker.py +++ b/dsl/worker.py @@ -2,6 +2,7 @@ import logging from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker from dsl.activities import DSLActivities @@ -12,7 +13,9 @@ async def main(): # Connect client - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) # Run a worker for the activities and workflow activities = DSLActivities() diff --git a/eager_wf_start/README.md b/eager_wf_start/README.md new file mode 100644 index 00000000..834c6a55 --- /dev/null +++ b/eager_wf_start/README.md @@ -0,0 +1,16 @@ +# Eager Workflow Start + +This sample shows how to create a workflow that uses Eager Workflow Start. + +The target use case is workflows whose first task needs to execute quickly (ex: payment verification in an online checkout workflow). That work typically can't be done directly in the workflow (ex: using web APIs, databases, etc.), and also needs to avoid the overhead of dispatching another task. Using a Local Activity suffices both needs, which this sample demonstrates. + +You can read more about Eager Workflow Start in our: + +- [Eager Workflow Start blog](https://temporal.io/blog/improving-latency-with-eager-workflow-start) +- [Worker Performance Docs](https://docs.temporal.io/develop/worker-performance#eager-workflow-start) + +To run, first see the main [README.md](../README.md) for prerequisites. + +Then run the sample via: + + uv run eager_wf_start/run.py \ No newline at end of file diff --git a/eager_wf_start/__init__.py b/eager_wf_start/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/eager_wf_start/activities.py b/eager_wf_start/activities.py new file mode 100644 index 00000000..6533140f --- /dev/null +++ b/eager_wf_start/activities.py @@ -0,0 +1,6 @@ +from temporalio import activity + + +@activity.defn() +async def greeting(name: str) -> str: + return f"Hello {name}!" diff --git a/eager_wf_start/run.py b/eager_wf_start/run.py new file mode 100644 index 00000000..34d807e0 --- /dev/null +++ b/eager_wf_start/run.py @@ -0,0 +1,45 @@ +import asyncio +import uuid + +from temporalio.client import Client +from temporalio.envconfig import ClientConfig +from temporalio.worker import Worker + +from eager_wf_start.activities import greeting +from eager_wf_start.workflows import EagerWorkflow + +TASK_QUEUE = "eager-wf-start-task-queue" + + +async def main(): + # Note that the worker and client run in the same process and share the same client connection. + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) + + worker = Worker( + client, + task_queue=TASK_QUEUE, + workflows=[EagerWorkflow], + activities=[greeting], + ) + + # Run worker in the background + async with worker: + # Start workflow(s) while worker is running + wf_handle = await client.start_workflow( + EagerWorkflow.run, + "Temporal", + id=f"eager-workflow-id-{uuid.uuid4()}", + task_queue=TASK_QUEUE, + request_eager_start=True, + ) + + # This is an internal flag not intended to be used publicly. + # It is used here purely to display that the workflow was eagerly started. + print(f"Workflow eagerly started: {wf_handle.__temporal_eagerly_started}") + print(await wf_handle.result()) + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/eager_wf_start/workflows.py b/eager_wf_start/workflows.py new file mode 100644 index 00000000..9107d402 --- /dev/null +++ b/eager_wf_start/workflows.py @@ -0,0 +1,15 @@ +from datetime import timedelta + +from temporalio import workflow + +with workflow.unsafe.imports_passed_through(): + from eager_wf_start.activities import greeting + + +@workflow.defn +class EagerWorkflow: + @workflow.run + async def run(self, name: str) -> str: + return await workflow.execute_local_activity( + greeting, name, schedule_to_close_timeout=timedelta(seconds=5) + ) diff --git a/encryption/starter.py b/encryption/starter.py index 4c39f553..f2570936 100644 --- a/encryption/starter.py +++ b/encryption/starter.py @@ -3,15 +3,19 @@ import temporalio.converter from temporalio.client import Client +from temporalio.envconfig import ClientConfig from encryption.codec import EncryptionCodec from encryption.worker import GreetingWorkflow async def main(): + # Load configuration + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") # Connect client client = await Client.connect( - "localhost:7233", + **config, # Use the default converter, but change the codec data_converter=dataclasses.replace( temporalio.converter.default(), payload_codec=EncryptionCodec() diff --git a/encryption/worker.py b/encryption/worker.py index b99a2eab..d3387c70 100644 --- a/encryption/worker.py +++ b/encryption/worker.py @@ -4,6 +4,7 @@ import temporalio.converter from temporalio import workflow from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker from encryption.codec import EncryptionCodec @@ -20,9 +21,11 @@ async def run(self, name: str) -> str: async def main(): + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") # Connect client client = await Client.connect( - "localhost:7233", + **config, # Use the default converter, but change the codec data_converter=dataclasses.replace( temporalio.converter.default(), payload_codec=EncryptionCodec() diff --git a/env_config/__init__.py b/env_config/__init__.py index 0519ecba..e69de29b 100644 --- a/env_config/__init__.py +++ b/env_config/__init__.py @@ -1 +0,0 @@ - \ No newline at end of file diff --git a/gevent_async/starter.py b/gevent_async/starter.py index 43e8356b..010803e5 100644 --- a/gevent_async/starter.py +++ b/gevent_async/starter.py @@ -7,6 +7,7 @@ import logging from temporalio.client import Client +from temporalio.envconfig import ClientConfig from gevent_async import workflow from gevent_async.executor import GeventExecutor @@ -24,7 +25,9 @@ def main(): async def async_main(): # Connect client - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) # Run workflow result = await client.execute_workflow( diff --git a/gevent_async/worker.py b/gevent_async/worker.py index 9b4945cf..db419399 100644 --- a/gevent_async/worker.py +++ b/gevent_async/worker.py @@ -9,6 +9,7 @@ import gevent from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker from gevent_async import activity, workflow @@ -39,13 +40,14 @@ async def async_main(): ) # Connect client - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) # Create an executor for use by Temporal. This cannot be the outer one # running this async main. The max_workers here needs to have enough room to # support the max concurrent activities/workflows settings. with GeventExecutor(max_workers=200) as executor: - # Run a worker for the workflow and activities async with Worker( client, @@ -65,7 +67,6 @@ async def async_main(): max_concurrent_activities=100, max_concurrent_workflow_tasks=100, ): - # Wait until interrupted logging.info("Worker started, ctrl+c to exit") await interrupt_event.wait() diff --git a/hello/README.md b/hello/README.md index c014d08c..7b5ca6eb 100644 --- a/hello/README.md +++ b/hello/README.md @@ -44,7 +44,7 @@ Replace `hello/hello_activity.py` in the command with any other example filename * [hello_search_attributes](hello_search_attributes.py) - Start workflow with search attributes then change while running. * [hello_signal](hello_signal.py) - Send signals to a workflow. -* [hello_update](hello_update.py) - Send a request to and a response from a client to a workflow execution. +* [hello_update](hello_update.py) - **Send a request to and a response from a client to a workflow execution.** Note: To enable the workflow update, set the `frontend.enableUpdateWorkflowExecution` dynamic config value to true. diff --git a/hello/hello_activity.py b/hello/hello_activity.py index 13b5fcbb..c7972c2e 100644 --- a/hello/hello_activity.py +++ b/hello/hello_activity.py @@ -5,6 +5,7 @@ from temporalio import activity, workflow from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker @@ -42,8 +43,12 @@ async def main(): # import logging # logging.basicConfig(level=logging.INFO) + # Load configuration + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + # Start client - client = await Client.connect("localhost:7233") + client = await Client.connect(**config) # Run a worker for the workflow async with Worker( @@ -56,7 +61,6 @@ async def main(): # This same thread pool could be passed to multiple workers if desired. activity_executor=ThreadPoolExecutor(5), ): - # While the worker is running, use the client to run the workflow and # print out its result. Note, in many production setups, the client # would be in a completely separate process from the worker. diff --git a/hello/hello_activity_async.py b/hello/hello_activity_async.py index fd14a2cf..47b5bd79 100644 --- a/hello/hello_activity_async.py +++ b/hello/hello_activity_async.py @@ -4,6 +4,7 @@ from temporalio import activity, workflow from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker @@ -42,7 +43,9 @@ async def main(): # logging.basicConfig(level=logging.INFO) # Start client - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) # Run a worker for the workflow async with Worker( @@ -54,7 +57,6 @@ async def main(): # to supply an activity executor because they run in # the worker's event loop. ): - # While the worker is running, use the client to run the workflow and # print out its result. Note, in many production setups, the client # would be in a completely separate process from the worker. diff --git a/hello/hello_activity_choice.py b/hello/hello_activity_choice.py index 7d01b019..6da9fe69 100644 --- a/hello/hello_activity_choice.py +++ b/hello/hello_activity_choice.py @@ -7,6 +7,7 @@ from temporalio import activity, workflow from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker # Activities that will be called by the workflow @@ -80,8 +81,11 @@ async def run(self, shopping_list: ShoppingList) -> str: async def main(): + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + # Start client - client = await Client.connect("localhost:7233") + client = await Client.connect(**config) # Run a worker for the workflow async with Worker( @@ -91,7 +95,6 @@ async def main(): activities=[order_apples, order_bananas, order_cherries, order_oranges], activity_executor=ThreadPoolExecutor(5), ): - # While the worker is running, use the client to run the workflow and # print out its result. Note, in many production setups, the client # would be in a completely separate process from the worker. diff --git a/hello/hello_activity_heartbeat.py b/hello/hello_activity_heartbeat.py index 230621d3..2b80f9a6 100644 --- a/hello/hello_activity_heartbeat.py +++ b/hello/hello_activity_heartbeat.py @@ -6,6 +6,7 @@ from temporalio import activity, workflow from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker @@ -41,7 +42,9 @@ async def run(self, name: str) -> str: async def main(): # Start client - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) # Run a worker for the workflow async with Worker( @@ -51,7 +54,6 @@ async def main(): activities=[compose_greeting], activity_executor=ThreadPoolExecutor(5), ): - # While the worker is running, use the client to run the workflow and # print out its result. Note, in many production setups, the client # would be in a completely separate process from the worker. diff --git a/hello/hello_activity_method.py b/hello/hello_activity_method.py index db527263..d87bc8e7 100644 --- a/hello/hello_activity_method.py +++ b/hello/hello_activity_method.py @@ -3,6 +3,7 @@ from temporalio import activity, workflow from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker @@ -32,7 +33,9 @@ async def run(self) -> None: async def main(): # Start client - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) # Create our database client that can then be used in the activity db_client = MyDatabaseClient() @@ -47,7 +50,6 @@ async def main(): workflows=[MyWorkflow], activities=[my_activities.do_database_thing], ): - # While the worker is running, use the client to run the workflow and # print out its result. Note, in many production setups, the client # would be in a completely separate process from the worker. diff --git a/hello/hello_activity_multiprocess.py b/hello/hello_activity_multiprocess.py index 6630234d..c7793c2c 100644 --- a/hello/hello_activity_multiprocess.py +++ b/hello/hello_activity_multiprocess.py @@ -8,6 +8,7 @@ from temporalio import activity, workflow from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import SharedStateManager, Worker @@ -43,7 +44,9 @@ async def run(self, name: str) -> str: async def main(): # Start client - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) # Run a worker for the workflow async with Worker( @@ -65,7 +68,6 @@ async def main(): multiprocessing.Manager() ), ): - # While the worker is running, use the client to run the workflow and # print out its result. Note, in many production setups, the client # would be in a completely separate process from the worker. diff --git a/hello/hello_activity_retry.py b/hello/hello_activity_retry.py index f1acd529..105aa847 100644 --- a/hello/hello_activity_retry.py +++ b/hello/hello_activity_retry.py @@ -6,6 +6,7 @@ from temporalio import activity, workflow from temporalio.client import Client from temporalio.common import RetryPolicy +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker @@ -45,7 +46,9 @@ async def run(self, name: str) -> str: async def main(): # Start client - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) # Run a worker for the workflow async with Worker( @@ -55,7 +58,6 @@ async def main(): activities=[compose_greeting], activity_executor=ThreadPoolExecutor(5), ): - # While the worker is running, use the client to run the workflow and # print out its result. Note, in many production setups, the client # would be in a completely separate process from the worker. diff --git a/hello/hello_async_activity_completion.py b/hello/hello_async_activity_completion.py index 10aa89df..e777c49f 100644 --- a/hello/hello_async_activity_completion.py +++ b/hello/hello_async_activity_completion.py @@ -4,6 +4,7 @@ from temporalio import activity, workflow from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker @@ -68,7 +69,9 @@ async def run(self, name: str) -> str: async def main(): # Start client - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) # Run a worker for the workflow composer = GreetingComposer(client) @@ -78,7 +81,6 @@ async def main(): workflows=[GreetingWorkflow], activities=[composer.compose_greeting], ): - # While the worker is running, use the client to run the workflow and # print out its result. Note, in many production setups, the client # would be in a completely separate process from the worker. diff --git a/hello/hello_cancellation.py b/hello/hello_cancellation.py index 5bf38a66..a74bc2b4 100644 --- a/hello/hello_cancellation.py +++ b/hello/hello_cancellation.py @@ -7,6 +7,7 @@ from temporalio import activity, workflow from temporalio.client import Client, WorkflowFailureError +from temporalio.envconfig import ClientConfig from temporalio.exceptions import CancelledError from temporalio.worker import Worker @@ -50,8 +51,11 @@ async def run(self) -> None: async def main(): + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + # Start client - client = await Client.connect("localhost:7233") + client = await Client.connect(**config) # Run a worker for the workflow async with Worker( @@ -61,7 +65,6 @@ async def main(): activities=[never_complete_activity, cleanup_activity], activity_executor=ThreadPoolExecutor(5), ): - # While the worker is running, use the client to start the workflow. # Note, in many production setups, the client would be in a completely # separate process from the worker. diff --git a/hello/hello_change_log_level.py b/hello/hello_change_log_level.py index 89bb2e1d..4b7697f4 100644 --- a/hello/hello_change_log_level.py +++ b/hello/hello_change_log_level.py @@ -11,6 +11,7 @@ from temporalio import workflow from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker # --- Begin logging set‑up ---------------------------------------------------------- @@ -50,7 +51,10 @@ async def run(self): async def main(): - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) + async with Worker( client, task_queue="hello-change-log-level-task-queue", diff --git a/hello/hello_child_workflow.py b/hello/hello_child_workflow.py index 2be0bc1b..136b788f 100644 --- a/hello/hello_child_workflow.py +++ b/hello/hello_child_workflow.py @@ -3,6 +3,7 @@ from temporalio import workflow from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker @@ -31,8 +32,11 @@ async def run(self, name: str) -> str: async def main(): + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + # Start client - client = await Client.connect("localhost:7233") + client = await Client.connect(**config) # Run a worker for the workflow async with Worker( @@ -40,7 +44,6 @@ async def main(): task_queue="hello-child-workflow-task-queue", workflows=[GreetingWorkflow, ComposeGreetingWorkflow], ): - # While the worker is running, use the client to run the workflow and # print out its result. Note, in many production setups, the client # would be in a completely separate process from the worker. diff --git a/hello/hello_continue_as_new.py b/hello/hello_continue_as_new.py index 586aac1d..a899c7fc 100644 --- a/hello/hello_continue_as_new.py +++ b/hello/hello_continue_as_new.py @@ -3,6 +3,7 @@ from temporalio import workflow from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker @@ -22,7 +23,9 @@ async def main(): logging.basicConfig(level=logging.INFO) # Start client - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) # Run a worker for the workflow async with Worker( @@ -30,7 +33,6 @@ async def main(): task_queue="hello-continue-as-new-task-queue", workflows=[LoopingWorkflow], ): - # While the worker is running, use the client to run the workflow. Note, # in many production setups, the client would be in a completely # separate process from the worker. diff --git a/hello/hello_cron.py b/hello/hello_cron.py index dbb5cba6..1ca29ea1 100644 --- a/hello/hello_cron.py +++ b/hello/hello_cron.py @@ -5,6 +5,7 @@ from temporalio import activity, workflow from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker @@ -33,7 +34,9 @@ async def run(self, name: str) -> None: async def main(): # Start client - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) # Run a worker for the workflow async with Worker( @@ -43,7 +46,6 @@ async def main(): activities=[compose_greeting], activity_executor=ThreadPoolExecutor(5), ): - print("Running workflow once a minute") # While the worker is running, use the client to start the workflow. diff --git a/hello/hello_exception.py b/hello/hello_exception.py index 628c10c5..6e94bf7c 100644 --- a/hello/hello_exception.py +++ b/hello/hello_exception.py @@ -8,6 +8,7 @@ from temporalio import activity, workflow from temporalio.client import Client, WorkflowFailureError from temporalio.common import RetryPolicy +from temporalio.envconfig import ClientConfig from temporalio.exceptions import FailureError from temporalio.worker import Worker @@ -39,7 +40,9 @@ async def run(self, name: str) -> str: async def main(): # Start client - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) # Run a worker for the workflow async with Worker( @@ -49,7 +52,6 @@ async def main(): activities=[compose_greeting], activity_executor=ThreadPoolExecutor(5), ): - # While the worker is running, use the client to run the workflow and # print out its result. Note, in many production setups, the client # would be in a completely separate process from the worker. diff --git a/hello/hello_local_activity.py b/hello/hello_local_activity.py index 374c29c5..8954ea42 100644 --- a/hello/hello_local_activity.py +++ b/hello/hello_local_activity.py @@ -5,6 +5,7 @@ from temporalio import activity, workflow from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker @@ -32,7 +33,9 @@ async def run(self, name: str) -> str: async def main(): # Start client - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) # Run a worker for the workflow async with Worker( @@ -42,7 +45,6 @@ async def main(): activities=[compose_greeting], activity_executor=ThreadPoolExecutor(5), ): - # While the worker is running, use the client to run the workflow and # print out its result. Note, in many production setups, the client # would be in a completely separate process from the worker. diff --git a/hello/hello_mtls.py b/hello/hello_mtls.py index 3ed15354..b88c5f85 100644 --- a/hello/hello_mtls.py +++ b/hello/hello_mtls.py @@ -82,7 +82,6 @@ async def main(): activities=[compose_greeting], activity_executor=ThreadPoolExecutor(5), ): - # While the worker is running, use the client to run the workflow and # print out its result. Note, in many production setups, the client # would be in a completely separate process from the worker. diff --git a/hello/hello_parallel_activity.py b/hello/hello_parallel_activity.py index b32b02bb..42931a70 100644 --- a/hello/hello_parallel_activity.py +++ b/hello/hello_parallel_activity.py @@ -5,6 +5,7 @@ from temporalio import activity, workflow from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker @@ -41,7 +42,9 @@ async def run(self) -> List[str]: async def main(): # Start client - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) # Run a worker for the workflow async with Worker( @@ -51,7 +54,6 @@ async def main(): activities=[say_hello_activity], activity_executor=ThreadPoolExecutor(10), ): - # While the worker is running, use the client to run the workflow and # print out its result. Note, in many production setups, the client # would be in a completely separate process from the worker. diff --git a/hello/hello_patch.py b/hello/hello_patch.py index e511ad5b..a26e5474 100644 --- a/hello/hello_patch.py +++ b/hello/hello_patch.py @@ -6,6 +6,7 @@ from temporalio import activity, exceptions, workflow from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker @@ -101,7 +102,9 @@ async def main(): # logging.basicConfig(level=logging.INFO) # Start client - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) # Set workflow_class to the proper class based on version workflow_class = "" diff --git a/hello/hello_query.py b/hello/hello_query.py index 8deb30ba..d1bc54aa 100644 --- a/hello/hello_query.py +++ b/hello/hello_query.py @@ -2,6 +2,7 @@ from temporalio import workflow from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker @@ -26,8 +27,11 @@ def greeting(self) -> str: async def main(): + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + # Start client - client = await Client.connect("localhost:7233") + client = await Client.connect(**config) # Run a worker for the workflow async with Worker( @@ -35,7 +39,6 @@ async def main(): task_queue="hello-query-task-queue", workflows=[GreetingWorkflow], ): - # While the worker is running, use the client to start the workflow. # Note, in many production setups, the client would be in a completely # separate process from the worker. diff --git a/hello/hello_search_attributes.py b/hello/hello_search_attributes.py index 8b504ea6..d6d1a205 100644 --- a/hello/hello_search_attributes.py +++ b/hello/hello_search_attributes.py @@ -2,6 +2,7 @@ from temporalio import workflow from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker @@ -16,7 +17,9 @@ async def run(self) -> None: async def main(): # Start client - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) # Run a worker for the workflow async with Worker( @@ -24,7 +27,6 @@ async def main(): task_queue="hello-search-attributes-task-queue", workflows=[GreetingWorkflow], ): - # While the worker is running, use the client to start the workflow. # Note, in many production setups, the client would be in a completely # separate process from the worker. diff --git a/hello/hello_signal.py b/hello/hello_signal.py index a4f9b554..02b9d3ce 100644 --- a/hello/hello_signal.py +++ b/hello/hello_signal.py @@ -3,6 +3,7 @@ from temporalio import workflow from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker @@ -40,8 +41,11 @@ def exit(self) -> None: async def main(): + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + # Start client - client = await Client.connect("localhost:7233") + client = await Client.connect(**config) # Run a worker for the workflow async with Worker( @@ -49,7 +53,6 @@ async def main(): task_queue="hello-signal-task-queue", workflows=[GreetingWorkflow], ): - # While the worker is running, use the client to start the workflow. # Note, in many production setups, the client would be in a completely # separate process from the worker. diff --git a/hello/hello_update.py b/hello/hello_update.py index 111d95b1..4daa250a 100644 --- a/hello/hello_update.py +++ b/hello/hello_update.py @@ -2,6 +2,7 @@ from temporalio import workflow from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker @@ -22,7 +23,9 @@ async def update_workflow_status(self) -> str: async def main(): - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) # Run a worker for the workflow async with Worker( diff --git a/hello_nexus/caller/app.py b/hello_nexus/caller/app.py index 40785b90..639456fa 100644 --- a/hello_nexus/caller/app.py +++ b/hello_nexus/caller/app.py @@ -3,6 +3,7 @@ from typing import Optional from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker from hello_nexus.caller.workflows import CallerWorkflow @@ -15,10 +16,12 @@ async def execute_caller_workflow( client: Optional[Client] = None, ) -> tuple[MyOutput, MyOutput]: - client = client or await Client.connect( - "localhost:7233", - namespace=NAMESPACE, - ) + if not client: + config = ClientConfig.load_client_connect_config() + # Override the namespace from config file. + config.setdefault("target_host", "localhost:7233") + config.setdefault("namespace", NAMESPACE) + client = await Client.connect(**config) async with Worker( client, diff --git a/hello_nexus/handler/worker.py b/hello_nexus/handler/worker.py index 0bdd6c01..ded9c5ab 100644 --- a/hello_nexus/handler/worker.py +++ b/hello_nexus/handler/worker.py @@ -3,6 +3,7 @@ from typing import Optional from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker from hello_nexus.handler.service_handler import MyNexusServiceHandler @@ -17,10 +18,12 @@ async def main(client: Optional[Client] = None): logging.basicConfig(level=logging.INFO) - client = client or await Client.connect( - "localhost:7233", - namespace=NAMESPACE, - ) + if not client: + config = ClientConfig.load_client_connect_config() + # Override the address and namespace from the config file. + config.setdefault("target_host", "localhost:7233") + config.setdefault("namespace", NAMESPACE) + client = await Client.connect(**config) # Start the worker, passing the Nexus service handler instance, in addition to the # workflow classes that are started by your nexus operations, and any activities diff --git a/hello_standalone_activity/README.md b/hello_standalone_activity/README.md new file mode 100644 index 00000000..ebd63931 --- /dev/null +++ b/hello_standalone_activity/README.md @@ -0,0 +1,115 @@ +# Standalone Activity + +This sample shows how to execute Activities directly from a Temporal Client, without a Workflow. + +For full documentation, see [Standalone Activities - Python SDK](https://docs.temporal.io/develop/python/standalone-activities). + +### Sample directory structure + +- [my_activity.py](./my_activity.py) - Activity definition with `@activity.defn` +- [worker.py](./worker.py) - Worker that registers and runs the Activity +- [execute_activity.py](./execute_activity.py) - Execute a Standalone Activity and wait for the result +- [start_activity.py](./start_activity.py) - Start a Standalone Activity, get a handle, then wait for the result +- [list_activities.py](./list_activities.py) - List Standalone Activity Executions +- [count_activities.py](./count_activities.py) - Count Standalone Activity Executions + +### Quickstart + +**1. Start the Temporal dev server** + +```bash +temporal server start-dev +``` + +**2. Run the Worker** (in a separate terminal) + +```bash +uv run hello_standalone_activity/worker.py +``` + +**3. Execute a Standalone Activity** (in a separate terminal) + +Execute and wait for the result: + +```bash +uv run hello_standalone_activity/execute_activity.py +``` + +Or use the Temporal CLI: + +```bash +temporal activity execute \ + --type compose_greeting \ + --activity-id my-standalone-activity-id \ + --task-queue my-standalone-activity-task-queue \ + --start-to-close-timeout 10s \ + --input '{"greeting": "Hello", "name": "World"}' +``` + +**4. Start a Standalone Activity (without waiting)** + +Start, get a handle, then wait for the result: + +```bash +uv run hello_standalone_activity/start_activity.py +``` + +Or use the Temporal CLI: + +```bash +temporal activity start \ + --type compose_greeting \ + --activity-id my-standalone-activity-id \ + --task-queue my-standalone-activity-task-queue \ + --start-to-close-timeout 10s \ + --input '{"greeting": "Hello", "name": "World"}' +``` + +**5. List Standalone Activities** + +```bash +uv run hello_standalone_activity/list_activities.py +``` + +Or use the Temporal CLI: + +```bash +temporal activity list --query "TaskQueue = 'my-standalone-activity-task-queue'" +``` + +Note: `list` and `count` are only available in the [Standalone Activity prerelease CLI](https://github.com/temporalio/cli/releases/tag/v1.6.2-standalone-activity). + +**6. Count Standalone Activities** + +```bash +uv run hello_standalone_activity/count_activities.py +``` + +Or use the Temporal CLI: + +```bash +temporal activity count --query "TaskQueue = 'my-standalone-activity-task-queue'" +``` + +### Temporal Cloud + +The same code works against Temporal Cloud - just set environment variables. No code changes needed. + +**Connect with mTLS:** + +```bash +export TEMPORAL_ADDRESS=..tmprl.cloud:7233 +export TEMPORAL_NAMESPACE=. +export TEMPORAL_TLS_CLIENT_CERT_PATH='path/to/your/client.pem' +export TEMPORAL_TLS_CLIENT_KEY_PATH='path/to/your/client.key' +``` + +**Connect with an API key:** + +```bash +export TEMPORAL_ADDRESS=..api.temporal.io:7233 +export TEMPORAL_NAMESPACE=. +export TEMPORAL_API_KEY= +``` + +Then run the worker and starter as shown above. diff --git a/hello_standalone_activity/__init__.py b/hello_standalone_activity/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/hello_standalone_activity/count_activities.py b/hello_standalone_activity/count_activities.py new file mode 100644 index 00000000..14a89e7e --- /dev/null +++ b/hello_standalone_activity/count_activities.py @@ -0,0 +1,23 @@ +import asyncio + +from temporalio.client import Client +from temporalio.envconfig import ClientConfig + + +async def my_application(): + connect_config = ClientConfig.load_client_connect_config() + connect_config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**connect_config) + + resp = await client.count_activities( + query="TaskQueue = 'my-standalone-activity-task-queue'", + ) + + print("Total activities:", resp.count) + + for group in resp.groups: + print(f"Group {group.group_values}: {group.count}") + + +if __name__ == "__main__": + asyncio.run(my_application()) diff --git a/hello_standalone_activity/execute_activity.py b/hello_standalone_activity/execute_activity.py new file mode 100644 index 00000000..529a1feb --- /dev/null +++ b/hello_standalone_activity/execute_activity.py @@ -0,0 +1,26 @@ +import asyncio +from datetime import timedelta + +from temporalio.client import Client +from temporalio.envconfig import ClientConfig + +from hello_standalone_activity.my_activity import ComposeGreetingInput, compose_greeting + + +async def my_application(): + connect_config = ClientConfig.load_client_connect_config() + connect_config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**connect_config) + + activity_result = await client.execute_activity( + compose_greeting, + args=[ComposeGreetingInput("Hello", "World")], + id="my-standalone-activity-id", + task_queue="my-standalone-activity-task-queue", + start_to_close_timeout=timedelta(seconds=10), + ) + print(f"Activity result: {activity_result}") + + +if __name__ == "__main__": + asyncio.run(my_application()) diff --git a/hello_standalone_activity/list_activities.py b/hello_standalone_activity/list_activities.py new file mode 100644 index 00000000..ef7af969 --- /dev/null +++ b/hello_standalone_activity/list_activities.py @@ -0,0 +1,23 @@ +import asyncio + +from temporalio.client import Client +from temporalio.envconfig import ClientConfig + + +async def my_application(): + connect_config = ClientConfig.load_client_connect_config() + connect_config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**connect_config) + + activities = client.list_activities( + query="TaskQueue = 'my-standalone-activity-task-queue'", + ) + + async for info in activities: + print( + f"ActivityID: {info.activity_id}, Type: {info.activity_type}, Status: {info.status}" + ) + + +if __name__ == "__main__": + asyncio.run(my_application()) diff --git a/hello_standalone_activity/my_activity.py b/hello_standalone_activity/my_activity.py new file mode 100644 index 00000000..086b08a0 --- /dev/null +++ b/hello_standalone_activity/my_activity.py @@ -0,0 +1,15 @@ +from dataclasses import dataclass + +from temporalio import activity + + +@dataclass +class ComposeGreetingInput: + greeting: str + name: str + + +@activity.defn +def compose_greeting(input: ComposeGreetingInput) -> str: + activity.logger.info("Running activity with parameter %s" % input) + return f"{input.greeting}, {input.name}!" diff --git a/hello_standalone_activity/start_activity.py b/hello_standalone_activity/start_activity.py new file mode 100644 index 00000000..8aa9fa54 --- /dev/null +++ b/hello_standalone_activity/start_activity.py @@ -0,0 +1,31 @@ +import asyncio +from datetime import timedelta + +from temporalio.client import Client +from temporalio.envconfig import ClientConfig + +from hello_standalone_activity.my_activity import ComposeGreetingInput, compose_greeting + + +async def my_application(): + connect_config = ClientConfig.load_client_connect_config() + connect_config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**connect_config) + + # Start the activity without waiting for the result + activity_handle = await client.start_activity( + compose_greeting, + args=[ComposeGreetingInput("Hello", "World")], + id="my-standalone-activity-id", + task_queue="my-standalone-activity-task-queue", + start_to_close_timeout=timedelta(seconds=10), + ) + print(f"Started activity: {activity_handle.id}") + + # Wait for the result + activity_result = await activity_handle.result() + print(f"Activity result: {activity_result}") + + +if __name__ == "__main__": + asyncio.run(my_application()) diff --git a/hello_standalone_activity/worker.py b/hello_standalone_activity/worker.py new file mode 100644 index 00000000..d093cc03 --- /dev/null +++ b/hello_standalone_activity/worker.py @@ -0,0 +1,26 @@ +import asyncio +from concurrent.futures import ThreadPoolExecutor + +from temporalio.client import Client +from temporalio.envconfig import ClientConfig +from temporalio.worker import Worker + +from hello_standalone_activity.my_activity import compose_greeting + + +async def main(): + connect_config = ClientConfig.load_client_connect_config() + connect_config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**connect_config) + worker = Worker( + client, + task_queue="my-standalone-activity-task-queue", + activities=[compose_greeting], + activity_executor=ThreadPoolExecutor(5), + ) + print("worker running...", end="", flush=True) + await worker.run() + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/langchain/README.md b/langchain/README.md deleted file mode 100644 index 506a379d..00000000 --- a/langchain/README.md +++ /dev/null @@ -1,30 +0,0 @@ -# LangChain Sample - -This sample shows you how you can use Temporal to orchestrate workflows for [LangChain](https://www.langchain.com). It includes an interceptor that makes LangSmith traces work seamlessly across Temporal clients, workflows and activities. - -For this sample, the optional `langchain` dependency group must be included. To include, run: - - uv sync --group langchain - -Export your [OpenAI API key](https://platform.openai.com/api-keys) as an environment variable. Replace `YOUR_API_KEY` with your actual OpenAI API key. - - export OPENAI_API_KEY='...' - -To run, first see [README.md](../README.md) for prerequisites. Then, run the following from the root directory to start the -worker: - - uv run langchain/worker.py - -This will start the worker. Then, in another terminal, run the following to execute a workflow: - - uv run langchain/starter.py - -Then, in another terminal, run the following command to translate a phrase: - - curl -X POST "http://localhost:8000/translate?phrase=hello%20world&language1=Spanish&language2=French&language3=Russian" - -Which should produce some output like: - - {"translations":{"French":"Bonjour tout le monde","Russian":"Привет, мир","Spanish":"Hola mundo"}} - -Check [LangSmith](https://smith.langchain.com/) for the corresponding trace. \ No newline at end of file diff --git a/langchain/activities.py b/langchain/activities.py deleted file mode 100644 index a9dec70c..00000000 --- a/langchain/activities.py +++ /dev/null @@ -1,34 +0,0 @@ -from dataclasses import dataclass - -from langchain_openai import ChatOpenAI -from temporalio import activity - -from langchain.prompts import ChatPromptTemplate - - -@dataclass -class TranslateParams: - phrase: str - language: str - - -@activity.defn -async def translate_phrase(params: TranslateParams) -> str: - # LangChain setup - template = """You are a helpful assistant who translates between languages. - Translate the following phrase into the specified language: {phrase} - Language: {language}""" - chat_prompt = ChatPromptTemplate.from_messages( - [ - ("system", template), - ("human", "Translate"), - ] - ) - chain = chat_prompt | ChatOpenAI() - # Use the asynchronous invoke method - return ( - dict( - await chain.ainvoke({"phrase": params.phrase, "language": params.language}) - ).get("content") - or "" - ) diff --git a/langchain/langchain_interceptor.py b/langchain/langchain_interceptor.py deleted file mode 100644 index bb230b6b..00000000 --- a/langchain/langchain_interceptor.py +++ /dev/null @@ -1,181 +0,0 @@ -from __future__ import annotations - -from typing import Any, Mapping, Protocol, Type - -from temporalio import activity, api, client, converter, worker, workflow - -with workflow.unsafe.imports_passed_through(): - from contextlib import contextmanager - - from langsmith import trace, tracing_context - from langsmith.run_helpers import get_current_run_tree - -# Header key for LangChain context -LANGCHAIN_CONTEXT_KEY = "langchain-context" - - -class _InputWithHeaders(Protocol): - headers: Mapping[str, api.common.v1.Payload] - - -def set_header_from_context( - input: _InputWithHeaders, payload_converter: converter.PayloadConverter -) -> None: - # Get current LangChain run tree - run_tree = get_current_run_tree() - if run_tree: - headers = run_tree.to_headers() - input.headers = { - **input.headers, - LANGCHAIN_CONTEXT_KEY: payload_converter.to_payload(headers), - } - - -@contextmanager -def context_from_header( - input: _InputWithHeaders, payload_converter: converter.PayloadConverter -): - payload = input.headers.get(LANGCHAIN_CONTEXT_KEY) - if payload: - run_tree = payload_converter.from_payload(payload, dict) - # Set the run tree in the current context - with tracing_context(parent=run_tree): - yield - else: - yield - - -class LangChainContextPropagationInterceptor(client.Interceptor, worker.Interceptor): - """Interceptor that propagates LangChain context through Temporal.""" - - def __init__( - self, - payload_converter: converter.PayloadConverter = converter.default().payload_converter, - ) -> None: - self._payload_converter = payload_converter - - def intercept_client( - self, next: client.OutboundInterceptor - ) -> client.OutboundInterceptor: - return _LangChainContextPropagationClientOutboundInterceptor( - next, self._payload_converter - ) - - def intercept_activity( - self, next: worker.ActivityInboundInterceptor - ) -> worker.ActivityInboundInterceptor: - return _LangChainContextPropagationActivityInboundInterceptor(next) - - def workflow_interceptor_class( - self, input: worker.WorkflowInterceptorClassInput - ) -> Type[_LangChainContextPropagationWorkflowInboundInterceptor]: - return _LangChainContextPropagationWorkflowInboundInterceptor - - -class _LangChainContextPropagationClientOutboundInterceptor(client.OutboundInterceptor): - def __init__( - self, - next: client.OutboundInterceptor, - payload_converter: converter.PayloadConverter, - ) -> None: - super().__init__(next) - self._payload_converter = payload_converter - - async def start_workflow( - self, input: client.StartWorkflowInput - ) -> client.WorkflowHandle[Any, Any]: - with trace(name=f"start_workflow:{input.workflow}"): - set_header_from_context(input, self._payload_converter) - return await super().start_workflow(input) - - -class _LangChainContextPropagationActivityInboundInterceptor( - worker.ActivityInboundInterceptor -): - async def execute_activity(self, input: worker.ExecuteActivityInput) -> Any: - if isinstance(input.fn, str): - name = input.fn - elif callable(input.fn): - defn = activity._Definition.from_callable(input.fn) - name = ( - defn.name if defn is not None and defn.name is not None else "unknown" - ) - else: - name = "unknown" - - with context_from_header(input, activity.payload_converter()): - with trace(name=f"execute_activity:{name}"): - return await self.next.execute_activity(input) - - -class _LangChainContextPropagationWorkflowInboundInterceptor( - worker.WorkflowInboundInterceptor -): - def init(self, outbound: worker.WorkflowOutboundInterceptor) -> None: - self.next.init( - _LangChainContextPropagationWorkflowOutboundInterceptor(outbound) - ) - - async def execute_workflow(self, input: worker.ExecuteWorkflowInput) -> Any: - if isinstance(input.run_fn, str): - name = input.run_fn - elif callable(input.run_fn): - defn = workflow._Definition.from_run_fn(input.run_fn) - name = ( - defn.name if defn is not None and defn.name is not None else "unknown" - ) - else: - name = "unknown" - - with context_from_header(input, workflow.payload_converter()): - # This is a sandbox friendly way to write - # with trace(...): - # return await self.next.execute_workflow(input) - with workflow.unsafe.sandbox_unrestricted(): - t = trace( - name=f"execute_workflow:{name}", run_id=workflow.info().run_id - ) - with workflow.unsafe.imports_passed_through(): - t.__enter__() - try: - return await self.next.execute_workflow(input) - finally: - with workflow.unsafe.sandbox_unrestricted(): - # Cannot use __aexit__ because it's internally uses - # loop.run_in_executor which is not available in the sandbox - t.__exit__() - - -class _LangChainContextPropagationWorkflowOutboundInterceptor( - worker.WorkflowOutboundInterceptor -): - def start_activity( - self, input: worker.StartActivityInput - ) -> workflow.ActivityHandle: - with workflow.unsafe.sandbox_unrestricted(): - t = trace(name=f"start_activity:{input.activity}", run_id=workflow.uuid4()) - with workflow.unsafe.imports_passed_through(): - t.__enter__() - try: - set_header_from_context(input, workflow.payload_converter()) - return self.next.start_activity(input) - finally: - with workflow.unsafe.sandbox_unrestricted(): - t.__exit__() - - async def start_child_workflow( - self, input: worker.StartChildWorkflowInput - ) -> workflow.ChildWorkflowHandle: - with workflow.unsafe.sandbox_unrestricted(): - t = trace( - name=f"start_child_workflow:{input.workflow}", run_id=workflow.uuid4() - ) - with workflow.unsafe.imports_passed_through(): - t.__enter__() - - try: - set_header_from_context(input, workflow.payload_converter()) - return await self.next.start_child_workflow(input) - finally: - with workflow.unsafe.sandbox_unrestricted(): - t.__exit__() diff --git a/langchain/starter.py b/langchain/starter.py deleted file mode 100644 index 2e3d0d5a..00000000 --- a/langchain/starter.py +++ /dev/null @@ -1,42 +0,0 @@ -from contextlib import asynccontextmanager -from typing import List -from uuid import uuid4 - -import uvicorn -from activities import TranslateParams -from fastapi import FastAPI, HTTPException -from langchain_interceptor import LangChainContextPropagationInterceptor -from temporalio.client import Client -from workflow import LangChainWorkflow, TranslateWorkflowParams - - -@asynccontextmanager -async def lifespan(app: FastAPI): - app.state.temporal_client = await Client.connect( - "localhost:7233", interceptors=[LangChainContextPropagationInterceptor()] - ) - yield - - -app = FastAPI(lifespan=lifespan) - - -@app.post("/translate") -async def translate(phrase: str, language1: str, language2: str, language3: str): - languages = [language1, language2, language3] - client = app.state.temporal_client - try: - result = await client.execute_workflow( - LangChainWorkflow.run, - TranslateWorkflowParams(phrase, languages), - id=f"langchain-translation-{uuid4()}", - task_queue="langchain-task-queue", - ) - except Exception as e: - raise HTTPException(status_code=500, detail=str(e)) - - return {"translations": result} - - -if __name__ == "__main__": - uvicorn.run(app, host="localhost", port=8000) diff --git a/langchain/worker.py b/langchain/worker.py deleted file mode 100644 index 1b680432..00000000 --- a/langchain/worker.py +++ /dev/null @@ -1,40 +0,0 @@ -import asyncio - -from activities import translate_phrase -from langchain_interceptor import LangChainContextPropagationInterceptor -from temporalio.client import Client -from temporalio.worker import Worker -from workflow import LangChainChildWorkflow, LangChainWorkflow - -interrupt_event = asyncio.Event() - - -async def main(): - client = await Client.connect("localhost:7233") - worker = Worker( - client, - task_queue="langchain-task-queue", - workflows=[LangChainWorkflow, LangChainChildWorkflow], - activities=[translate_phrase], - interceptors=[LangChainContextPropagationInterceptor()], - ) - - print("\nWorker started, ctrl+c to exit\n") - await worker.run() - try: - # Wait indefinitely until the interrupt event is set - await interrupt_event.wait() - finally: - # The worker will be shutdown gracefully due to the async context manager - print("\nShutting down the worker\n") - - -if __name__ == "__main__": - loop = asyncio.new_event_loop() - asyncio.set_event_loop(loop) - try: - loop.run_until_complete(main()) - except KeyboardInterrupt: - print("\nInterrupt received, shutting down...\n") - interrupt_event.set() - loop.run_until_complete(loop.shutdown_asyncgens()) diff --git a/langchain/workflow.py b/langchain/workflow.py deleted file mode 100644 index 31861c07..00000000 --- a/langchain/workflow.py +++ /dev/null @@ -1,53 +0,0 @@ -import asyncio -from dataclasses import dataclass -from datetime import timedelta -from typing import List - -from temporalio import workflow - -with workflow.unsafe.imports_passed_through(): - from activities import TranslateParams, translate_phrase - - -@workflow.defn -class LangChainChildWorkflow: - @workflow.run - async def run(self, params: TranslateParams) -> str: - return await workflow.execute_activity( - translate_phrase, - params, - schedule_to_close_timeout=timedelta(seconds=30), - ) - - -@dataclass -class TranslateWorkflowParams: - phrase: str - languages: List[str] - - -@workflow.defn -class LangChainWorkflow: - @workflow.run - async def run(self, params: TranslateWorkflowParams) -> dict: - result1, result2, result3 = await asyncio.gather( - workflow.execute_activity( - translate_phrase, - TranslateParams(params.phrase, params.languages[0]), - schedule_to_close_timeout=timedelta(seconds=30), - ), - workflow.execute_activity( - translate_phrase, - TranslateParams(params.phrase, params.languages[1]), - schedule_to_close_timeout=timedelta(seconds=30), - ), - workflow.execute_child_workflow( - LangChainChildWorkflow.run, - TranslateParams(params.phrase, params.languages[2]), - ), - ) - return { - params.languages[0]: result1, - params.languages[1]: result2, - params.languages[2]: result3, - } diff --git a/langsmith_tracing/README.md b/langsmith_tracing/README.md new file mode 100644 index 00000000..127a8059 --- /dev/null +++ b/langsmith_tracing/README.md @@ -0,0 +1,49 @@ +# LangSmith Tracing + +This sample demonstrates [LangSmith](https://smith.langchain.com/) tracing integration with Temporal workflows using the [`LangSmithPlugin`](https://python.temporal.io/temporalio.contrib.langsmith.html). + +Two examples are included: + +- **[basic/](basic/)** — A one-shot LLM workflow that sends a prompt to OpenAI and returns the response. +- **[chatbot/](chatbot/)** — A long-running conversational workflow with tool calls (save/read notes) and update handlers. + +## Prerequisites + +Install dependencies: + +```bash +uv sync --group langsmith-tracing +``` + +Set environment variables: + +```bash +export OPENAI_API_KEY="sk-..." +export LANGSMITH_API_KEY="lsv2_..." +export LANGCHAIN_TRACING_V2=true +``` + +A local Temporal server must be running (`temporal server start-dev`). + +## Three Layers of Tracing + +This sample shows three complementary ways LangSmith captures trace data: + +1. **Automatic (`wrap_openai`)** — Wrapping the OpenAI client with `wrap_openai()` automatically creates a child span for every LLM call, capturing model parameters, token usage, and latency. No extra code needed. + +2. **Explicit (`@traceable`)** — Decorating functions with `@traceable` creates named spans for your business logic. You control the name, tags, metadata, and `run_type` (chain, llm, tool, retriever). This is how you structure traces to tell a story about what your application is doing. + +3. **Temporal (`add_temporal_runs=True`)** — The `LangSmithPlugin` can optionally create LangSmith runs for each Temporal workflow execution and activity execution, giving visibility into the orchestration layer alongside your LLM calls. + +## `add_temporal_runs` + +By default, `LangSmithPlugin(add_temporal_runs=False)` only propagates LangSmith context so that `@traceable` and `wrap_openai` calls nest correctly. + +Set `add_temporal_runs=True` to also create LangSmith runs for Temporal operations (workflow executions, activity executions, signals, etc.), giving full visibility into the orchestration layer. Both examples support a `--add-temporal-runs` CLI flag to toggle this. + +## Further Reading + +- [LangSmith documentation](https://docs.smith.langchain.com/) +- [Temporal Python SDK LangSmith plugin](https://python.temporal.io/temporalio.contrib.langsmith.html) +- [LangSmith `@traceable` guide](https://docs.smith.langchain.com/observability/how-to/annotate-code) +- [LangSmith `wrap_openai` guide](https://docs.smith.langchain.com/observability/how-to/trace-with-openai) diff --git a/langsmith_tracing/__init__.py b/langsmith_tracing/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/langsmith_tracing/basic/README.md b/langsmith_tracing/basic/README.md new file mode 100644 index 00000000..839312e8 --- /dev/null +++ b/langsmith_tracing/basic/README.md @@ -0,0 +1,50 @@ +# Basic LLM Workflow + +A one-shot workflow that sends a prompt to OpenAI and returns the response. A very simple example of LangSmith tracing with Temporal. + +See the [parent README](../README.md) for prerequisites. + +## Running + +```bash +# Terminal 1 — start the worker +uv run --group langsmith-tracing python -m langsmith_tracing.basic.worker + +# Terminal 2 — run the workflow +uv run --group langsmith-tracing python -m langsmith_tracing.basic.starter +``` + +## Trace Structure + +### `add_temporal_runs=False` (default) + +Only `@traceable` and `wrap_openai` spans appear. The client-side `@traceable` is the root, and workflow/activity traces nest under it via context propagation. + +``` +Basic LLM Request (@traceable, client-side) +└── Ask: What is Temporal? (@traceable, workflow) + └── Call OpenAI (@traceable, activity) + └── ChatOpenAI (automatic via wrap_openai) +``` + +### `add_temporal_runs=True` + +Pass `--add-temporal-runs` to both the worker and starter: + +```bash +uv run --group langsmith-tracing python -m langsmith_tracing.basic.worker --add-temporal-runs +uv run --group langsmith-tracing python -m langsmith_tracing.basic.starter --add-temporal-runs +``` + +Temporal operation spans are added. `StartWorkflow`/`RunWorkflow` and `StartActivity`/`RunActivity` appear as sibling pairs: + +``` +Basic LLM Request (@traceable, client-side) +├── StartWorkflow:BasicLLMWorkflow (automatic, Temporal plugin) +└── RunWorkflow:BasicLLMWorkflow (automatic, Temporal plugin) + └── Ask: What is Temporal? (@traceable, workflow) + ├── StartActivity:call_openai (automatic, Temporal plugin) + └── RunActivity:call_openai (automatic, Temporal plugin) + └── Call OpenAI (@traceable, activity) + └── ChatOpenAI (automatic via wrap_openai) +``` diff --git a/langsmith_tracing/basic/__init__.py b/langsmith_tracing/basic/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/langsmith_tracing/basic/activities.py b/langsmith_tracing/basic/activities.py new file mode 100644 index 00000000..e04e1711 --- /dev/null +++ b/langsmith_tracing/basic/activities.py @@ -0,0 +1,33 @@ +"""Basic LLM activity with LangSmith tracing.""" + +from dataclasses import dataclass + +from langsmith import traceable +from langsmith.wrappers import wrap_openai +from openai import AsyncOpenAI +from temporalio import activity + + +@dataclass +class OpenAIRequest: + model: str + input: str + instructions: str = "You are a helpful assistant." + + +@traceable(name="Call OpenAI", run_type="llm") +@activity.defn +async def call_openai(request: OpenAIRequest) -> str: + """Call OpenAI Responses API. Retries handled by Temporal, not the OpenAI client.""" + # wrap_openai patches the client so each API call (e.g. responses.create) + # creates its own child span with model parameters and token usage. + # max_retries=0 disables OpenAI's built-in retries — Temporal's activity + # retry policy handles retries instead, with full visibility in the UI. + client = wrap_openai(AsyncOpenAI(max_retries=0)) + response = await client.responses.create( + model=request.model, + instructions=request.instructions, + input=request.input, + timeout=30, + ) + return response.output_text diff --git a/langsmith_tracing/basic/starter.py b/langsmith_tracing/basic/starter.py new file mode 100644 index 00000000..4a2a103a --- /dev/null +++ b/langsmith_tracing/basic/starter.py @@ -0,0 +1,52 @@ +"""Starter for the basic LangSmith sample.""" + +import asyncio +import sys + +from langsmith import traceable +from temporalio.client import Client +from temporalio.contrib.langsmith import LangSmithPlugin +from temporalio.envconfig import ClientConfig + +from langsmith_tracing.basic.workflows import BasicLLMWorkflow + +PROJECT_NAME = "langsmith-basic" + + +@traceable( + name="Basic LLM Request", + run_type="chain", + # CRITICAL: Client-side @traceable runs outside the LangSmithPlugin's scope. + # Make sure client-side traces use the same project_name as what is given to + # the plugin. + project_name=PROJECT_NAME, + tags=["client-side"], +) +async def main() -> str: + add_temporal_runs = "--add-temporal-runs" in sys.argv + + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + + plugin = LangSmithPlugin( + project_name=PROJECT_NAME, + add_temporal_runs=add_temporal_runs, + ) + + client = await Client.connect( + **config, + plugins=[plugin], + ) + + result = await client.execute_workflow( + BasicLLMWorkflow.run, + "What is Temporal?", + id="langsmith-basic-workflow-id", + task_queue="langsmith-basic-task-queue", + ) + print(f"Workflow result: {result}") + return result + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/langsmith_tracing/basic/worker.py b/langsmith_tracing/basic/worker.py new file mode 100644 index 00000000..941b28c5 --- /dev/null +++ b/langsmith_tracing/basic/worker.py @@ -0,0 +1,47 @@ +"""Worker for the basic LangSmith sample.""" + +import asyncio +import logging +import sys + +from temporalio.client import Client +from temporalio.contrib.langsmith import LangSmithPlugin +from temporalio.envconfig import ClientConfig +from temporalio.worker import Worker + +from langsmith_tracing.basic.activities import call_openai +from langsmith_tracing.basic.workflows import BasicLLMWorkflow + + +async def main(): + logging.basicConfig(level=logging.INFO) + + # add_temporal_runs=True creates LangSmith runs for each Temporal + # workflow/activity execution. False (default) only propagates context. + add_temporal_runs = "--add-temporal-runs" in sys.argv + + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + + plugin = LangSmithPlugin( + project_name="langsmith-basic", + add_temporal_runs=add_temporal_runs, + ) + + client = await Client.connect(**config) + + worker = Worker( + client, + task_queue="langsmith-basic-task-queue", + workflows=[BasicLLMWorkflow], + activities=[call_openai], + plugins=[plugin], + ) + + label = "with" if add_temporal_runs else "without" + print(f"Worker started ({label} Temporal runs in traces), ctrl+c to exit") + await worker.run() + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/langsmith_tracing/basic/workflows.py b/langsmith_tracing/basic/workflows.py new file mode 100644 index 00000000..c6cc14b2 --- /dev/null +++ b/langsmith_tracing/basic/workflows.py @@ -0,0 +1,33 @@ +"""Basic one-shot LLM workflow with LangSmith tracing.""" + +from datetime import timedelta + +from temporalio import workflow + +with workflow.unsafe.imports_passed_through(): + from langsmith import traceable + + from langsmith_tracing.basic.activities import OpenAIRequest, call_openai + + +@workflow.defn +class BasicLLMWorkflow: + # Do not decorate @workflow.run with @traceable — it would violate + # replay safety and produce duplicate or orphaned traces. Instead, + # wrap an inner function. + @workflow.run + async def run(self, prompt: str) -> str: + @traceable( + name=f"Ask: {prompt[:60]}", + run_type="chain", + metadata={"workflow_id": workflow.info().workflow_id}, + tags=["basic-llm"], + ) + async def _run() -> str: + return await workflow.execute_activity( + call_openai, + OpenAIRequest(model="gpt-4o-mini", input=prompt), + start_to_close_timeout=timedelta(seconds=60), + ) + + return await _run() diff --git a/langsmith_tracing/chatbot/README.md b/langsmith_tracing/chatbot/README.md new file mode 100644 index 00000000..b9784989 --- /dev/null +++ b/langsmith_tracing/chatbot/README.md @@ -0,0 +1,81 @@ +# Chatbot with Tool Calls + +A long-running conversational workflow with tool calls and update handlers. Demonstrates how LangSmith traces an agentic loop where the model calls tools across multiple turns. + +See the [parent README](../README.md) for prerequisites. + +## Running + +```bash +# Terminal 1 — start the worker +uv run --group langsmith-tracing python -m langsmith_tracing.chatbot.worker + +# Terminal 2 — interactive CLI +uv run --group langsmith-tracing python -m langsmith_tracing.chatbot.starter +``` + +Commands in the CLI: +- Type a message and press Enter to chat +- `exit` — end the session + +## Tools + +The model has two tools, both implemented as `@traceable` methods on the workflow class: + +- **`save_note(name, content)`** — Stores a note in the workflow's in-memory dict. The note is durable because workflow state survives crashes and restarts via Temporal's event history. +- **`read_note(name)`** — Reads a note from the workflow's in-memory dict. + +## Architecture + +The main `@workflow.run` method runs a loop that processes user messages (calls `_query_openai`, which handles the tool-call loop). The `message_from_user` update handler coordinates: it hands the message to the main loop via a shared `_pending_message` field, then waits for the response. + +This means: +- Activity calls and the tool loop happen inside the main workflow run +- The update handler's trace just shows the input/output of the coordination step + +## Trace Structure + +### `add_temporal_runs=False` (default) + +Only `@traceable` and `wrap_openai` spans appear. The client-side `@traceable` wraps `start_workflow` and each `execute_update`, so both workflow and update traces nest under it via context propagation. + +``` +Chatbot Session a1b2c3d4 (@traceable, client-side) +├── Session Apr 17 10:30 (@traceable, workflow main loop) +│ ├── Request: hello (@traceable, per-message in main loop) +│ │ └── Call OpenAI (@traceable, activity) +│ │ └── ChatOpenAI (automatic via wrap_openai) +│ └── Request: save that as note 15 (@traceable, per-message in main loop) +│ ├── Call OpenAI → function_call: save_note +│ ├── Save Note (@traceable, workflow method) +│ └── Call OpenAI → text response +├── Update: hello (@traceable, update handler) +└── Update: save that as note 15 (@traceable, update handler) +``` + +### `add_temporal_runs=True` + +With `--add-temporal-runs`, Temporal operation spans are added. `StartWorkflow`/`RunWorkflow` and `StartActivity`/`RunActivity` appear as sibling pairs. + +``` +Chatbot Session a1b2c3d4 (@traceable, client-side) +├── StartWorkflow:ChatbotWorkflow (automatic, Temporal plugin) +├── RunWorkflow:ChatbotWorkflow (automatic, Temporal plugin) +│ └── Session Apr 17 10:30 (@traceable, workflow main loop) +│ └── Request: save that as note 15 (@traceable, per-message) +│ ├── StartActivity:call_openai (automatic, Temporal plugin) +│ ├── RunActivity:call_openai (automatic, Temporal plugin) +│ │ └── Call OpenAI (@traceable, activity) +│ │ └── ChatOpenAI (automatic via wrap_openai) +│ ├── Save Note (@traceable, workflow method) +│ ├── StartActivity:call_openai (automatic, Temporal plugin) +│ └── RunActivity:call_openai (automatic, Temporal plugin) +│ └── Call OpenAI (@traceable, activity) +│ └── ChatOpenAI (automatic via wrap_openai) +├── StartWorkflowUpdate:message_from_user (automatic, Temporal plugin) +│ └── HandleUpdate:message_from_user (automatic, Temporal plugin) +│ └── Update: save that as note 15 (@traceable, update handler) +└── ... +``` + +Note that the `Request:` chain (with activity calls) lives under `RunWorkflow` (the main loop), while the `Update:` span lives under `HandleUpdate` (the update handler). They're connected by the shared workflow state but appear as separate subtrees. diff --git a/langsmith_tracing/chatbot/__init__.py b/langsmith_tracing/chatbot/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/langsmith_tracing/chatbot/activities.py b/langsmith_tracing/chatbot/activities.py new file mode 100644 index 00000000..5e979320 --- /dev/null +++ b/langsmith_tracing/chatbot/activities.py @@ -0,0 +1,66 @@ +"""Chatbot activities with LangSmith tracing.""" + +from dataclasses import dataclass +from typing import Any + +from langsmith import traceable +from langsmith.wrappers import wrap_openai +from openai import AsyncOpenAI +from pydantic import BaseModel, Field +from temporalio import activity + + +class ToolCall(BaseModel): + call_id: str + name: str + arguments: str + + +class ChatResponse(BaseModel): + id: str + output_text: str = "" + tool_calls: list[ToolCall] = Field(default_factory=list) + + +@dataclass +class OpenAIRequest: + model: str + # str for the initial user prompt, list for tool call results fed back + input: str | list[dict[str, Any]] + instructions: str = ( + "You are a helpful assistant with note-taking abilities. " + "Use save_note to remember things and read_note to recall them." + ) + tools: list[dict[str, Any]] | None = None + previous_response_id: str | None = None + + +@traceable(name="Call OpenAI", run_type="llm") +@activity.defn +async def call_openai(request: OpenAIRequest) -> ChatResponse: + """Call OpenAI Responses API. Retries handled by Temporal, not the OpenAI client.""" + # wrap_openai patches the client so each API call (e.g. responses.create) + # creates its own child span with model parameters and token usage. + # max_retries=0 disables OpenAI's built-in retries — Temporal's activity + # retry policy handles retries instead, with full visibility in the UI. + client = wrap_openai(AsyncOpenAI(max_retries=0)) + response_args: dict[str, Any] = { + "model": request.model, + "instructions": request.instructions, + "input": request.input, + "timeout": 30, + } + if request.tools: + response_args["tools"] = request.tools + if request.previous_response_id: + response_args["previous_response_id"] = request.previous_response_id + response = await client.responses.create(**response_args) + return ChatResponse( + id=response.id, + output_text=response.output_text or "", + tool_calls=[ + ToolCall(call_id=item.call_id, name=item.name, arguments=item.arguments) + for item in response.output + if item.type == "function_call" + ], + ) diff --git a/langsmith_tracing/chatbot/starter.py b/langsmith_tracing/chatbot/starter.py new file mode 100644 index 00000000..4d67e794 --- /dev/null +++ b/langsmith_tracing/chatbot/starter.py @@ -0,0 +1,76 @@ +"""Interactive CLI starter for the chatbot LangSmith sample.""" + +import asyncio +import readline # noqa: F401 — enables input() line editing +import sys +import uuid + +from langsmith import traceable +from temporalio.client import Client +from temporalio.contrib.langsmith import LangSmithPlugin +from temporalio.contrib.pydantic import pydantic_data_converter +from temporalio.envconfig import ClientConfig + +from langsmith_tracing.chatbot.workflows import ChatbotWorkflow + +PROJECT_NAME = "langsmith-chatbot" + + +async def main(): + add_temporal_runs = "--add-temporal-runs" in sys.argv + + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + + plugin = LangSmithPlugin( + project_name=PROJECT_NAME, + add_temporal_runs=add_temporal_runs, + ) + + client = await Client.connect( + **config, + data_converter=pydantic_data_converter, + plugins=[plugin], + ) + + wf_id = f"langsmith-chatbot-{uuid.uuid4().hex[:8]}" + + @traceable( + name=f"Chatbot Session {wf_id[-8:]}", + run_type="chain", + # CRITICAL: Client-side @traceable runs outside the LangSmithPlugin's scope. + # Make sure client-side traces use the same project_name as what is given to + # the plugin. + project_name=PROJECT_NAME, + tags=["client-side", "chatbot"], + ) + async def run_session(): + wf_handle = await client.start_workflow( + ChatbotWorkflow.run, + id=wf_id, + task_queue="langsmith-chatbot-task-queue", + ) + print(f"Started workflow: {wf_handle.id}") + print('Type a message or "exit" to quit.\n') + + while True: + user_input = input("> ").strip() + if not user_input: + continue + + if user_input.lower() == "exit": + await wf_handle.signal(ChatbotWorkflow.exit) + result = await wf_handle.result() + print(f"\nWorkflow finished: {result}") + return + + response = await wf_handle.execute_update( + ChatbotWorkflow.message_from_user, user_input + ) + print(f"Bot: {response}\n") + + await run_session() + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/langsmith_tracing/chatbot/worker.py b/langsmith_tracing/chatbot/worker.py new file mode 100644 index 00000000..b2bd2c98 --- /dev/null +++ b/langsmith_tracing/chatbot/worker.py @@ -0,0 +1,49 @@ +"""Worker for the chatbot LangSmith sample.""" + +import asyncio +import logging +import sys + +from temporalio.client import Client +from temporalio.contrib.langsmith import LangSmithPlugin +from temporalio.contrib.pydantic import pydantic_data_converter +from temporalio.envconfig import ClientConfig +from temporalio.worker import Worker + +from langsmith_tracing.chatbot.activities import call_openai +from langsmith_tracing.chatbot.workflows import ChatbotWorkflow + + +async def main(): + logging.basicConfig(level=logging.INFO) + + add_temporal_runs = "--add-temporal-runs" in sys.argv + + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + + plugin = LangSmithPlugin( + project_name="langsmith-chatbot", + add_temporal_runs=add_temporal_runs, + ) + + client = await Client.connect( + **config, + data_converter=pydantic_data_converter, + ) + + worker = Worker( + client, + task_queue="langsmith-chatbot-task-queue", + workflows=[ChatbotWorkflow], + activities=[call_openai], + plugins=[plugin], + ) + + label = "with" if add_temporal_runs else "without" + print(f"Worker started ({label} Temporal runs in traces), ctrl+c to exit") + await worker.run() + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/langsmith_tracing/chatbot/workflows.py b/langsmith_tracing/chatbot/workflows.py new file mode 100644 index 00000000..47205611 --- /dev/null +++ b/langsmith_tracing/chatbot/workflows.py @@ -0,0 +1,176 @@ +"""Conversational chatbot workflow with tool loop and LangSmith tracing.""" + +import json +from datetime import timedelta + +from temporalio import workflow +from temporalio.common import RetryPolicy + +with workflow.unsafe.imports_passed_through(): + from langsmith import traceable + + from langsmith_tracing.chatbot.activities import OpenAIRequest, call_openai + +TOOLS = [ + { + "type": "function", + "name": "save_note", + "description": "Save or update a note.", + "parameters": { + "type": "object", + "properties": { + "name": {"type": "string", "description": "Name/key for the note."}, + "content": { + "type": "string", + "description": "Content of the note.", + }, + }, + "required": ["name", "content"], + }, + }, + { + "type": "function", + "name": "read_note", + "description": "Read a previously saved note.", + "parameters": { + "type": "object", + "properties": { + "name": { + "type": "string", + "description": "Name/key of the note to read.", + }, + }, + "required": ["name"], + }, + }, +] + + +@workflow.defn +class ChatbotWorkflow: + def __init__(self): + self._pending_message: str | None = None + self._last_response: str = "" + self._previous_response_id: str | None = None + self._notes: dict[str, str] = {} + self._done = False + + @workflow.signal + async def exit(self) -> None: + self._done = True + + @workflow.query + def notes(self) -> dict[str, str]: + return dict(self._notes) + + @workflow.update + async def message_from_user(self, message: str) -> str: + """Hand the message to the main loop and wait for its response.""" + + # Inner @traceable captures the message as input and response as output. + @traceable(name=f"Update: {message[:60]}", run_type="chain") + async def _traced(msg: str) -> str: + # Wait until any previous message has finished processing + await workflow.wait_condition(lambda: self._pending_message is None) + self._pending_message = msg + # Main loop sets _last_response, then clears _pending_message to signal done + await workflow.wait_condition(lambda: self._pending_message is None) + return self._last_response + + return await _traced(message) + + # Do not decorate @workflow.run with @traceable — it would violate + # replay safety and produce duplicate or orphaned traces. Instead, + # wrap an inner function, eg. self._run_inner() in this case. + @workflow.run + async def run(self) -> str: + # Alternative to @traceable decorator: call traceable() as a function + # for dynamic trace names that depend on runtime values. + now = workflow.now().strftime("%b %d %H:%M") + return await traceable( + name=f"Session {now}", + run_type="chain", + metadata={"workflow_id": workflow.info().workflow_id}, + tags=["chatbot-session"], + )(self._run_inner)() + + async def _run_inner(self) -> str: + while not self._done: + await workflow.wait_condition( + lambda: self._pending_message is not None or self._done + ) + if self._done: + break + assert self._pending_message is not None + message = self._pending_message + self._last_response = await self._query_openai(message) + # Clear pending_message AFTER setting the response so the update + # handler reads the correct response when its wait_condition fires. + self._pending_message = None + + return "Session ended." + + # Unlike @workflow.run, other workflow methods can be decorated with + # @traceable directly — they run inside the plugin-managed context + # where trace I/O is handled safely during replay. + @traceable(name="Save Note", run_type="tool") + def _save_note(self, name: str, content: str) -> str: + self._notes[name] = content + return f"Saved note '{name}'." + + @traceable(name="Read Note", run_type="tool") + def _read_note(self, name: str) -> str: + return self._notes.get(name, "Note not found.") + + async def _query_openai(self, message: str) -> str: + @traceable( + name=f"Request: {message[:60]}", + run_type="chain", + tags=["user-message"], + ) + async def _traced(): + input_for_next: str | list = message + while True: + response = await workflow.execute_activity( + call_openai, + OpenAIRequest( + model="gpt-4o-mini", + input=input_for_next, + tools=TOOLS, + previous_response_id=self._previous_response_id, + ), + start_to_close_timeout=timedelta(seconds=60), + retry_policy=RetryPolicy( + initial_interval=timedelta(seconds=2), maximum_attempts=3 + ), + ) + self._previous_response_id = response.id + + tool_results = [] + for tc in response.tool_calls: + args = json.loads(tc.arguments) + if tc.name == "save_note": + result = self._save_note(args["name"], args["content"]) + tool_results.append( + { + "type": "function_call_output", + "call_id": tc.call_id, + "output": result, + } + ) + elif tc.name == "read_note": + result = self._read_note(args["name"]) + tool_results.append( + { + "type": "function_call_output", + "call_id": tc.call_id, + "output": result, + } + ) + + if not tool_results: + return response.output_text or "Done." + + input_for_next = tool_results + + return await _traced() diff --git a/message_passing/introduction/starter.py b/message_passing/introduction/starter.py index b71dd44d..aa5b8967 100644 --- a/message_passing/introduction/starter.py +++ b/message_passing/introduction/starter.py @@ -2,6 +2,7 @@ from typing import Optional from temporalio.client import Client, WorkflowUpdateStage +from temporalio.envconfig import ClientConfig from message_passing.introduction import TASK_QUEUE from message_passing.introduction.workflows import ( @@ -14,7 +15,11 @@ async def main(client: Optional[Client] = None): - client = client or await Client.connect("localhost:7233") + if not client: + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) + wf_handle = await client.start_workflow( GreetingWorkflow.run, id="greeting-workflow-1234", diff --git a/message_passing/introduction/worker.py b/message_passing/introduction/worker.py index 25f4121f..34974801 100644 --- a/message_passing/introduction/worker.py +++ b/message_passing/introduction/worker.py @@ -2,6 +2,7 @@ import logging from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker from message_passing.introduction import TASK_QUEUE @@ -14,7 +15,9 @@ async def main(): logging.basicConfig(level=logging.INFO) - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) async with Worker( client, diff --git a/message_passing/safe_message_handlers/starter.py b/message_passing/safe_message_handlers/starter.py index 7ffe13d9..c8f1b5d3 100644 --- a/message_passing/safe_message_handlers/starter.py +++ b/message_passing/safe_message_handlers/starter.py @@ -6,6 +6,7 @@ from temporalio import common from temporalio.client import Client, WorkflowHandle +from temporalio.envconfig import ClientConfig from message_passing.safe_message_handlers.workflow import ( ClusterManagerAssignNodesToJobInput, @@ -54,7 +55,9 @@ async def do_cluster_lifecycle(wf: WorkflowHandle, delay_seconds: Optional[int] async def main(should_test_continue_as_new: bool): # Connect to Temporal - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) print("Starting cluster") cluster_manager_handle = await client.start_workflow( @@ -62,7 +65,7 @@ async def main(should_test_continue_as_new: bool): ClusterManagerInput(test_continue_as_new=should_test_continue_as_new), id=f"ClusterManagerWorkflow-{uuid.uuid4()}", task_queue="safe-message-handlers-task-queue", - id_reuse_policy=common.WorkflowIDReusePolicy.TERMINATE_IF_RUNNING, + id_conflict_policy=common.WorkflowIDConflictPolicy.TERMINATE_EXISTING, ) delay_seconds = 10 if should_test_continue_as_new else 1 await do_cluster_lifecycle(cluster_manager_handle, delay_seconds=delay_seconds) diff --git a/message_passing/safe_message_handlers/worker.py b/message_passing/safe_message_handlers/worker.py index 34e71290..31e538d4 100644 --- a/message_passing/safe_message_handlers/worker.py +++ b/message_passing/safe_message_handlers/worker.py @@ -2,6 +2,7 @@ import logging from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker from message_passing.safe_message_handlers.workflow import ( @@ -16,7 +17,9 @@ async def main(): - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) async with Worker( client, diff --git a/message_passing/update_with_start/lazy_initialization/starter.py b/message_passing/update_with_start/lazy_initialization/starter.py index b3274f9d..ec874939 100644 --- a/message_passing/update_with_start/lazy_initialization/starter.py +++ b/message_passing/update_with_start/lazy_initialization/starter.py @@ -9,6 +9,7 @@ WorkflowHandle, WorkflowUpdateFailedError, ) +from temporalio.envconfig import ClientConfig from temporalio.exceptions import ApplicationError from message_passing.update_with_start.lazy_initialization import TASK_QUEUE @@ -61,12 +62,14 @@ async def handle_add_item_request( async def main(): print("🛒") session_id = f"session-{uuid.uuid4()}" - temporal_client = await Client.connect("localhost:7233") - subtotal_1, _ = await handle_add_item_request( - session_id, "sku-123", 1, temporal_client - ) + + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) + + subtotal_1, _ = await handle_add_item_request(session_id, "sku-123", 1, client) subtotal_2, wf_handle = await handle_add_item_request( - session_id, "sku-456", 1, temporal_client + session_id, "sku-456", 1, client ) print(f"subtotals were, {[subtotal_1, subtotal_2]}") await wf_handle.signal(ShoppingCartWorkflow.checkout) diff --git a/message_passing/update_with_start/lazy_initialization/worker.py b/message_passing/update_with_start/lazy_initialization/worker.py index 1964b43e..1cc4f6ff 100644 --- a/message_passing/update_with_start/lazy_initialization/worker.py +++ b/message_passing/update_with_start/lazy_initialization/worker.py @@ -2,6 +2,7 @@ import logging from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker from message_passing.update_with_start.lazy_initialization import TASK_QUEUE, workflows @@ -13,7 +14,9 @@ async def main(): logging.basicConfig(level=logging.INFO) - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) async with Worker( client, diff --git a/message_passing/waiting_for_handlers/starter.py b/message_passing/waiting_for_handlers/starter.py index 908095c5..9d3fbc0c 100644 --- a/message_passing/waiting_for_handlers/starter.py +++ b/message_passing/waiting_for_handlers/starter.py @@ -1,6 +1,7 @@ import asyncio from temporalio import client, common +from temporalio.envconfig import ClientConfig from message_passing.waiting_for_handlers import ( TASK_QUEUE, @@ -12,7 +13,10 @@ async def starter(exit_type: WorkflowExitType): - cl = await client.Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + cl = await client.Client.connect(**config) + wf_handle = await cl.start_workflow( WaitingForHandlersWorkflow.run, WorkflowInput(exit_type=exit_type), @@ -33,7 +37,9 @@ async def _check_run( wait_for_stage=client.WorkflowUpdateStage.ACCEPTED, ) except Exception as e: - print(f" 🔴 caught exception while starting update: {e}: {e.__cause__ or ''}") + print( + f" 🔴 caught exception while starting update: {e}: {e.__cause__ or ''}" + ) if exit_type == WorkflowExitType.CANCELLATION: await wf_handle.cancel() diff --git a/message_passing/waiting_for_handlers/worker.py b/message_passing/waiting_for_handlers/worker.py index 9eea60a3..e32a2dcb 100644 --- a/message_passing/waiting_for_handlers/worker.py +++ b/message_passing/waiting_for_handlers/worker.py @@ -2,6 +2,7 @@ import logging from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker from message_passing.waiting_for_handlers import TASK_QUEUE @@ -16,7 +17,9 @@ async def main(): logging.basicConfig(level=logging.INFO) - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) async with Worker( client, diff --git a/message_passing/waiting_for_handlers_and_compensation/starter.py b/message_passing/waiting_for_handlers_and_compensation/starter.py index 812bee5f..6f25c9a5 100644 --- a/message_passing/waiting_for_handlers_and_compensation/starter.py +++ b/message_passing/waiting_for_handlers_and_compensation/starter.py @@ -1,6 +1,7 @@ import asyncio from temporalio import client, common +from temporalio.envconfig import ClientConfig from message_passing.waiting_for_handlers_and_compensation import ( TASK_QUEUE, @@ -14,7 +15,10 @@ async def starter(exit_type: WorkflowExitType): - cl = await client.Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + cl = await client.Client.connect(**config) + wf_handle = await cl.start_workflow( WaitingForHandlersAndCompensationWorkflow.run, WorkflowInput(exit_type=exit_type), @@ -35,7 +39,9 @@ async def _check_run( wait_for_stage=client.WorkflowUpdateStage.ACCEPTED, ) except Exception as e: - print(f" 🔴 caught exception while starting update: {e}: {e.__cause__ or ''}") + print( + f" 🔴 caught exception while starting update: {e}: {e.__cause__ or ''}" + ) if exit_type == WorkflowExitType.CANCELLATION: await wf_handle.cancel() diff --git a/message_passing/waiting_for_handlers_and_compensation/worker.py b/message_passing/waiting_for_handlers_and_compensation/worker.py index 7daf768f..2a27769d 100644 --- a/message_passing/waiting_for_handlers_and_compensation/worker.py +++ b/message_passing/waiting_for_handlers_and_compensation/worker.py @@ -2,6 +2,7 @@ import logging from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker from message_passing.waiting_for_handlers_and_compensation import TASK_QUEUE @@ -19,8 +20,9 @@ async def main(): logging.basicConfig(level=logging.INFO) - - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) async with Worker( client, diff --git a/nexus_cancel/README.md b/nexus_cancel/README.md new file mode 100644 index 00000000..2f7f5703 --- /dev/null +++ b/nexus_cancel/README.md @@ -0,0 +1,50 @@ +# Nexus Cancellation + +This sample shows how a caller workflow can fan out multiple Nexus operations concurrently, take the first result, and cancel the rest using `WAIT_REQUESTED` cancellation semantics. + +With `WAIT_REQUESTED`, the caller proceeds once the handler has received the cancel request — it does not wait for the handler to finish processing the cancellation. + +Start a Temporal server. (See the main samples repo [README](../README.md)). + +Run the following: + +``` +temporal operator namespace create --namespace nexus-cancel-handler-namespace +temporal operator namespace create --namespace nexus-cancel-caller-namespace + +temporal operator nexus endpoint create \ + --name nexus-cancel-endpoint \ + --target-namespace nexus-cancel-handler-namespace \ + --target-task-queue nexus-cancel-handler-task-queue +``` + +Next, in separate terminal windows: + +## Nexus Handler Worker + +```bash +uv run nexus_cancel/handler/worker.py +``` + +## Nexus Caller App + +```bash +uv run nexus_cancel/caller/app.py +``` + +## Expected Output + +On the caller side, you should see a greeting in whichever language completed first: +``` +Hello Nexus 👋 +``` + +On the handler side, you should see cancellation log messages for the remaining operations: +``` +HelloHandlerWorkflow was cancelled successfully. +HelloHandlerWorkflow was cancelled successfully. +HelloHandlerWorkflow was cancelled successfully. +HelloHandlerWorkflow was cancelled successfully. +``` + +The caller workflow returns before all handler workflows have completed their cancellation cleanup. This demonstrates `WAIT_REQUESTED` semantics: the caller didn't wait for the handler workflows to finish, but still guaranteed that all handlers received the cancellation request. diff --git a/nexus_cancel/__init__.py b/nexus_cancel/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/nexus_cancel/caller/__init__.py b/nexus_cancel/caller/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/nexus_cancel/caller/app.py b/nexus_cancel/caller/app.py new file mode 100644 index 00000000..bb74e9e0 --- /dev/null +++ b/nexus_cancel/caller/app.py @@ -0,0 +1,43 @@ +import asyncio +import uuid +from typing import Optional + +from temporalio.client import Client +from temporalio.envconfig import ClientConfig +from temporalio.worker import Worker + +from nexus_cancel.caller.workflows import HelloCallerWorkflow + +NAMESPACE = "nexus-cancel-caller-namespace" +TASK_QUEUE = "nexus-cancel-caller-task-queue" + + +async def execute_caller_workflow( + client: Optional[Client] = None, +) -> str: + if client is None: + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + config.setdefault("namespace", NAMESPACE) + client = await Client.connect(**config) + + async with Worker( + client, + task_queue=TASK_QUEUE, + workflows=[HelloCallerWorkflow], + ): + return await client.execute_workflow( + HelloCallerWorkflow.run, + "Nexus", + id=f"hello-caller-{uuid.uuid4()}", + task_queue=TASK_QUEUE, + ) + + +if __name__ == "__main__": + loop = asyncio.new_event_loop() + try: + result = loop.run_until_complete(execute_caller_workflow()) + print(result) + except KeyboardInterrupt: + loop.run_until_complete(loop.shutdown_asyncgens()) diff --git a/nexus_cancel/caller/workflows.py b/nexus_cancel/caller/workflows.py new file mode 100644 index 00000000..f8a2e1ff --- /dev/null +++ b/nexus_cancel/caller/workflows.py @@ -0,0 +1,69 @@ +""" +Caller workflow that demonstrates Nexus operation cancellation. + +Fans out 5 concurrent Nexus hello operations (one per language), takes the first +result, and cancels the rest using WAIT_REQUESTED cancellation semantics. +""" + +import asyncio +from datetime import timedelta + +from temporalio import workflow +from temporalio.exceptions import CancelledError, NexusOperationError + +with workflow.unsafe.imports_passed_through(): + from nexus_cancel.service import HelloInput, Language, NexusService + +NEXUS_ENDPOINT = "nexus-cancel-endpoint" + + +@workflow.defn +class HelloCallerWorkflow: + def __init__(self) -> None: + self.nexus_client = workflow.create_nexus_client( + service=NexusService, + endpoint=NEXUS_ENDPOINT, + ) + + @workflow.run + async def run(self, message: str) -> str: + # Fan out 5 concurrent Nexus calls, one per language. + # Each task starts and awaits its own operation so all race concurrently. + async def run_operation(language: Language): + handle = await self.nexus_client.start_operation( + NexusService.hello, + HelloInput(name=message, language=language), + schedule_to_close_timeout=timedelta(seconds=10), + cancellation_type=workflow.NexusOperationCancellationType.WAIT_REQUESTED, + ) + return await handle + + tasks = [asyncio.create_task(run_operation(lang)) for lang in Language] + + # Wait for the first operation to complete + workflow.logger.info( + f"Started {len(tasks)} operations, waiting for first to complete..." + ) + done, pending = await workflow.wait(tasks, return_when=asyncio.FIRST_COMPLETED) + + # Get the result from the first completed operation + result = await done.pop() + workflow.logger.info(f"First operation completed with: {result.message}") + + # Cancel all remaining operations + workflow.logger.info(f"Cancelling {len(pending)} remaining operations...") + for task in pending: + task.cancel() + + # Wait for all cancellations to be acknowledged. + # If the workflow completes before cancellation requests are delivered, + # the server drops them. Waiting ensures all handlers receive the + # cancellation. + for task in pending: + try: + await task + except (NexusOperationError, CancelledError): + # Expected: the operation was cancelled + workflow.logger.info("Operation was cancelled") + + return result.message diff --git a/nexus_cancel/handler/__init__.py b/nexus_cancel/handler/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/nexus_cancel/handler/service_handler.py b/nexus_cancel/handler/service_handler.py new file mode 100644 index 00000000..92868510 --- /dev/null +++ b/nexus_cancel/handler/service_handler.py @@ -0,0 +1,27 @@ +""" +Nexus service handler for the cancellation sample. + +The hello operation is backed by a workflow, using the Nexus request ID as the +workflow ID for idempotency across retries. +""" + +from __future__ import annotations + +import nexusrpc +from temporalio import nexus + +from nexus_cancel.handler.workflows import HelloHandlerWorkflow +from nexus_cancel.service import HelloInput, HelloOutput, NexusService + + +@nexusrpc.handler.service_handler(service=NexusService) +class NexusServiceHandler: + @nexus.workflow_run_operation + async def hello( + self, ctx: nexus.WorkflowRunOperationContext, input: HelloInput + ) -> nexus.WorkflowHandle[HelloOutput]: + return await ctx.start_workflow( + HelloHandlerWorkflow.run, + input, + id=ctx.request_id, + ) diff --git a/nexus_cancel/handler/worker.py b/nexus_cancel/handler/worker.py new file mode 100644 index 00000000..e29df355 --- /dev/null +++ b/nexus_cancel/handler/worker.py @@ -0,0 +1,48 @@ +""" +Worker for the handler namespace that processes Nexus operations and workflows. +""" + +import asyncio +import logging +from typing import Optional + +from temporalio.client import Client +from temporalio.envconfig import ClientConfig +from temporalio.worker import Worker + +from nexus_cancel.handler.service_handler import NexusServiceHandler +from nexus_cancel.handler.workflows import HelloHandlerWorkflow + +interrupt_event = asyncio.Event() + +NAMESPACE = "nexus-cancel-handler-namespace" +TASK_QUEUE = "nexus-cancel-handler-task-queue" + + +async def main(client: Optional[Client] = None): + logging.basicConfig(level=logging.INFO) + + if not client: + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + config.setdefault("namespace", NAMESPACE) + client = await Client.connect(**config) + + async with Worker( + client, + task_queue=TASK_QUEUE, + workflows=[HelloHandlerWorkflow], + nexus_service_handlers=[NexusServiceHandler()], + ): + logging.info("Worker started, ctrl+c to exit") + await interrupt_event.wait() + logging.info("Shutting down") + + +if __name__ == "__main__": + loop = asyncio.new_event_loop() + try: + loop.run_until_complete(main()) + except KeyboardInterrupt: + interrupt_event.set() + loop.run_until_complete(loop.shutdown_asyncgens()) diff --git a/nexus_cancel/handler/workflows.py b/nexus_cancel/handler/workflows.py new file mode 100644 index 00000000..d799c62b --- /dev/null +++ b/nexus_cancel/handler/workflows.py @@ -0,0 +1,49 @@ +""" +Handler workflow started by the hello Nexus operation. + +Demonstrates how to handle cancellation from the caller workflow using a +detached cancellation scope (asyncio.shield) for cleanup work. +""" + +import asyncio + +from temporalio import workflow + +with workflow.unsafe.imports_passed_through(): + from nexus_cancel.service import HelloInput, HelloOutput, Language + +GREETINGS = { + Language.EN: "Hello {name} 👋", + Language.FR: "Bonjour {name} 👋", + Language.DE: "Hallo {name} 👋", + Language.ES: "¡Hola! {name} 👋", + Language.TR: "Merhaba {name} 👋", +} + + +@workflow.defn +class HelloHandlerWorkflow: + @workflow.run + async def run(self, input: HelloInput) -> HelloOutput: + try: + # Sleep for a random duration to simulate work (0-5 seconds) + random_seconds = workflow.random().randint(0, 5) + workflow.logger.info(f"Working for {random_seconds} seconds...") + await asyncio.sleep(random_seconds) + + # Return a greeting based on the language + greeting = GREETINGS[input.language].format(name=input.name) + return HelloOutput(message=greeting) + + except asyncio.CancelledError: + # Perform cleanup in a detached cancellation scope. + # asyncio.shield prevents the cleanup work from being cancelled. + workflow.logger.info("Received cancellation request, performing cleanup...") + try: + cleanup_seconds = workflow.random().randint(0, 5) + await asyncio.shield(asyncio.sleep(cleanup_seconds)) + except asyncio.CancelledError: + pass + workflow.logger.info("HelloHandlerWorkflow was cancelled successfully.") + # Re-raise the cancellation error + raise diff --git a/nexus_cancel/service.py b/nexus_cancel/service.py new file mode 100644 index 00000000..454a32f7 --- /dev/null +++ b/nexus_cancel/service.py @@ -0,0 +1,35 @@ +""" +Nexus service definition for the cancellation sample. + +Defines a NexusService with a single `hello` operation that takes a name and +language, and returns a greeting message. +""" + +from dataclasses import dataclass +from enum import IntEnum + +import nexusrpc + + +class Language(IntEnum): + EN = 0 + FR = 1 + DE = 2 + ES = 3 + TR = 4 + + +@dataclass +class HelloInput: + name: str + language: Language + + +@dataclass +class HelloOutput: + message: str + + +@nexusrpc.service +class NexusService: + hello: nexusrpc.Operation[HelloInput, HelloOutput] diff --git a/nexus_multiple_args/caller/app.py b/nexus_multiple_args/caller/app.py index 88aadbf9..b4d7ebc3 100644 --- a/nexus_multiple_args/caller/app.py +++ b/nexus_multiple_args/caller/app.py @@ -3,6 +3,7 @@ from typing import Optional from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker from nexus_multiple_args.caller.workflows import CallerWorkflow @@ -14,10 +15,11 @@ async def execute_caller_workflow( client: Optional[Client] = None, ) -> tuple[str, str]: - client = client or await Client.connect( - "localhost:7233", - namespace=NAMESPACE, - ) + if client is None: + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + config.setdefault("namespace", NAMESPACE) + client = await Client.connect(**config) async with Worker( client, diff --git a/nexus_multiple_args/handler/worker.py b/nexus_multiple_args/handler/worker.py index d12a7ee1..079d08ae 100644 --- a/nexus_multiple_args/handler/worker.py +++ b/nexus_multiple_args/handler/worker.py @@ -3,6 +3,7 @@ from typing import Optional from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker from nexus_multiple_args.handler.service_handler import MyNexusServiceHandler @@ -17,10 +18,11 @@ async def main(client: Optional[Client] = None): logging.basicConfig(level=logging.INFO) - client = client or await Client.connect( - "localhost:7233", - namespace=NAMESPACE, - ) + if client is None: + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + config.setdefault("namespace", NAMESPACE) + client = await Client.connect(**config) # Start the worker, passing the Nexus service handler instance, in addition to the # workflow classes that are started by your nexus operations, and any activities diff --git a/nexus_sync_operations/caller/app.py b/nexus_sync_operations/caller/app.py index 4966415c..375628d2 100644 --- a/nexus_sync_operations/caller/app.py +++ b/nexus_sync_operations/caller/app.py @@ -3,6 +3,7 @@ from typing import Optional from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker from nexus_sync_operations.caller.workflows import CallerWorkflow @@ -14,10 +15,11 @@ async def execute_caller_workflow( client: Optional[Client] = None, ) -> None: - client = client or await Client.connect( - "localhost:7233", - namespace=NAMESPACE, - ) + if client is None: + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + config.setdefault("namespace", NAMESPACE) + client = await Client.connect(**config) async with Worker( client, diff --git a/nexus_sync_operations/handler/worker.py b/nexus_sync_operations/handler/worker.py index 5545adc0..97c8eb04 100644 --- a/nexus_sync_operations/handler/worker.py +++ b/nexus_sync_operations/handler/worker.py @@ -3,6 +3,7 @@ from typing import Optional from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker from message_passing.introduction.activities import call_greeting_service @@ -18,10 +19,11 @@ async def main(client: Optional[Client] = None): logging.basicConfig(level=logging.INFO) - client = client or await Client.connect( - "localhost:7233", - namespace=NAMESPACE, - ) + if client is None: + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + config.setdefault("namespace", NAMESPACE) + client = await Client.connect(**config) # Create the nexus service handler instance, starting the long-running entity workflow that # backs the Nexus service diff --git a/open_telemetry/starter.py b/open_telemetry/starter.py index 86360368..9e8650b0 100644 --- a/open_telemetry/starter.py +++ b/open_telemetry/starter.py @@ -2,6 +2,7 @@ from temporalio.client import Client from temporalio.contrib.opentelemetry import TracingInterceptor +from temporalio.envconfig import ClientConfig from open_telemetry.worker import GreetingWorkflow, init_runtime_with_telemetry @@ -9,9 +10,11 @@ async def main(): runtime = init_runtime_with_telemetry() + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") # Connect client client = await Client.connect( - "localhost:7233", + **config, # Use OpenTelemetry interceptor interceptors=[TracingInterceptor()], runtime=runtime, diff --git a/open_telemetry/worker.py b/open_telemetry/worker.py index 04095ca7..631bd008 100644 --- a/open_telemetry/worker.py +++ b/open_telemetry/worker.py @@ -9,6 +9,7 @@ from temporalio import activity, workflow from temporalio.client import Client from temporalio.contrib.opentelemetry import TracingInterceptor +from temporalio.envconfig import ClientConfig from temporalio.runtime import OpenTelemetryConfig, Runtime, TelemetryConfig from temporalio.worker import Worker @@ -50,9 +51,12 @@ def init_runtime_with_telemetry() -> Runtime: async def main(): runtime = init_runtime_with_telemetry() + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + # Connect client client = await Client.connect( - "localhost:7233", + **config, # Use OpenTelemetry interceptor interceptors=[TracingInterceptor()], runtime=runtime, diff --git a/openai_agents/agent_patterns/workflows/forcing_tool_use_workflow.py b/openai_agents/agent_patterns/workflows/forcing_tool_use_workflow.py index a8eaedd6..9d3aee3b 100644 --- a/openai_agents/agent_patterns/workflows/forcing_tool_use_workflow.py +++ b/openai_agents/agent_patterns/workflows/forcing_tool_use_workflow.py @@ -59,9 +59,10 @@ async def run(self, tool_use_behavior: str = "default") -> str: config = RunConfig() if tool_use_behavior == "default": - behavior: Literal[ - "run_llm_again", "stop_on_first_tool" - ] | ToolsToFinalOutputFunction = "run_llm_again" + behavior: ( + Literal["run_llm_again", "stop_on_first_tool"] + | ToolsToFinalOutputFunction + ) = "run_llm_again" elif tool_use_behavior == "first_tool": behavior = "stop_on_first_tool" elif tool_use_behavior == "custom": diff --git a/openai_agents/basic/run_agent_lifecycle_workflow.py b/openai_agents/basic/run_agent_lifecycle_workflow.py index 7d3d8619..2cd16c60 100644 --- a/openai_agents/basic/run_agent_lifecycle_workflow.py +++ b/openai_agents/basic/run_agent_lifecycle_workflow.py @@ -1,6 +1,7 @@ import asyncio from temporalio.client import Client +from temporalio.envconfig import ClientConfig from openai_agents.basic.workflows.agent_lifecycle_workflow import ( AgentLifecycleWorkflow, @@ -8,7 +9,9 @@ async def main() -> None: - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) user_input = input("Enter a max number: ") max_number = int(user_input) diff --git a/openai_agents/basic/run_remote_image_workflow.py b/openai_agents/basic/run_remote_image_workflow.py index f7c41b9a..f2175f7f 100644 --- a/openai_agents/basic/run_remote_image_workflow.py +++ b/openai_agents/basic/run_remote_image_workflow.py @@ -2,16 +2,18 @@ from temporalio.client import Client from temporalio.contrib.openai_agents import OpenAIAgentsPlugin +from temporalio.envconfig import ClientConfig from openai_agents.basic.workflows.remote_image_workflow import RemoteImageWorkflow async def main(): + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect( - "localhost:7233", - plugins=[ - OpenAIAgentsPlugin(), - ], + **config, + plugins=[OpenAIAgentsPlugin()], ) # Use the URL from the original example diff --git a/openai_agents/basic/workflows/agent_lifecycle_workflow.py b/openai_agents/basic/workflows/agent_lifecycle_workflow.py index 61cdad90..c016d150 100644 --- a/openai_agents/basic/workflows/agent_lifecycle_workflow.py +++ b/openai_agents/basic/workflows/agent_lifecycle_workflow.py @@ -71,7 +71,6 @@ class FinalResult(BaseModel): class AgentLifecycleWorkflow: @workflow.run async def run(self, max_number: int) -> FinalResult: - multiply_agent = Agent( name="Multiply Agent", instructions="Multiply the number by 2 and then return the final result.", diff --git a/openai_agents/basic/workflows/dynamic_system_prompt_workflow.py b/openai_agents/basic/workflows/dynamic_system_prompt_workflow.py index 00e77fbb..fb7ce109 100644 --- a/openai_agents/basic/workflows/dynamic_system_prompt_workflow.py +++ b/openai_agents/basic/workflows/dynamic_system_prompt_workflow.py @@ -26,9 +26,9 @@ class DynamicSystemPromptWorkflow: @workflow.run async def run(self, user_message: str, style: Optional[str] = None) -> str: if style is None: - selected_style: Literal[ - "haiku", "pirate", "robot" - ] = workflow.random().choice(["haiku", "pirate", "robot"]) + selected_style: Literal["haiku", "pirate", "robot"] = ( + workflow.random().choice(["haiku", "pirate", "robot"]) + ) else: # Validate that the provided style is one of the allowed values if style not in ["haiku", "pirate", "robot"]: diff --git a/openai_agents/customer_service/customer_service.py b/openai_agents/customer_service/customer_service.py index 88f6e3cd..45997033 100644 --- a/openai_agents/customer_service/customer_service.py +++ b/openai_agents/customer_service/customer_service.py @@ -77,9 +77,9 @@ async def on_seat_booking_handoff( ### AGENTS -def init_agents() -> Tuple[ - Agent[AirlineAgentContext], Dict[str, Agent[AirlineAgentContext]] -]: +def init_agents() -> ( + Tuple[Agent[AirlineAgentContext], Dict[str, Agent[AirlineAgentContext]]] +): """ Initialize the agents for the airline customer service workflow. :return: triage agent diff --git a/openai_agents/financial_research_agent/financial_research_manager.py b/openai_agents/financial_research_agent/financial_research_manager.py index 9a437a45..6f2050b2 100644 --- a/openai_agents/financial_research_agent/financial_research_manager.py +++ b/openai_agents/financial_research_agent/financial_research_manager.py @@ -3,7 +3,7 @@ import asyncio from collections.abc import Sequence -from agents import RunConfig, Runner, RunResult, custom_span, trace +from agents import RunConfig, Runner, RunResult, RunResultStreaming, custom_span, trace from temporalio import workflow from openai_agents.financial_research_agent.agents.financials_agent import ( @@ -26,7 +26,7 @@ ) -async def _summary_extractor(run_result: RunResult) -> str: +async def _summary_extractor(run_result: RunResult | RunResultStreaming) -> str: """Custom output extractor for sub-agents that return an AnalysisSummary.""" # The financial/risk analyst agents emit an AnalysisSummary with a `summary` field. # We want the tool call to return just that summary text so the writer can drop it inline. diff --git a/openai_agents/handoffs/run_message_filter_workflow.py b/openai_agents/handoffs/run_message_filter_workflow.py index 7ecb9f47..c2b2ba3d 100644 --- a/openai_agents/handoffs/run_message_filter_workflow.py +++ b/openai_agents/handoffs/run_message_filter_workflow.py @@ -3,6 +3,7 @@ from temporalio.client import Client from temporalio.contrib.openai_agents import OpenAIAgentsPlugin +from temporalio.envconfig import ClientConfig from openai_agents.handoffs.workflows.message_filter_workflow import ( MessageFilterWorkflow, @@ -10,9 +11,12 @@ async def main(): + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + # Create client connected to server at the given address client = await Client.connect( - "localhost:7233", + **config, plugins=[ OpenAIAgentsPlugin(), ], diff --git a/openai_agents/mcp/run_file_system_worker.py b/openai_agents/mcp/run_file_system_worker.py index 0eb440bb..2ed8dffd 100644 --- a/openai_agents/mcp/run_file_system_worker.py +++ b/openai_agents/mcp/run_file_system_worker.py @@ -12,6 +12,7 @@ OpenAIAgentsPlugin, StatelessMCPServerProvider, ) +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker from openai_agents.mcp.workflows.file_system_workflow import FileSystemWorkflow @@ -23,18 +24,21 @@ async def main(): samples_dir = os.path.join(current_dir, "sample_files") file_system_server = StatelessMCPServerProvider( + "FileSystemServer", lambda: MCPServerStdio( name="FileSystemServer", params={ "command": "npx", "args": ["-y", "@modelcontextprotocol/server-filesystem", samples_dir], }, - ) + ), ) # Create client connected to server at the given address + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") client = await Client.connect( - "localhost:7233", + **config, plugins=[ OpenAIAgentsPlugin( model_params=ModelActivityParameters( diff --git a/openai_agents/mcp/run_file_system_workflow.py b/openai_agents/mcp/run_file_system_workflow.py index a52e7d56..d076d3d5 100644 --- a/openai_agents/mcp/run_file_system_workflow.py +++ b/openai_agents/mcp/run_file_system_workflow.py @@ -2,14 +2,17 @@ from temporalio.client import Client from temporalio.contrib.openai_agents import OpenAIAgentsPlugin +from temporalio.envconfig import ClientConfig from openai_agents.mcp.workflows.file_system_workflow import FileSystemWorkflow async def main(): # Create client connected to server at the given address + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") client = await Client.connect( - "localhost:7233", + **config, plugins=[ OpenAIAgentsPlugin(), ], diff --git a/openai_agents/mcp/run_memory_research_scratchpad_worker.py b/openai_agents/mcp/run_memory_research_scratchpad_worker.py index fb1d8494..536ab974 100644 --- a/openai_agents/mcp/run_memory_research_scratchpad_worker.py +++ b/openai_agents/mcp/run_memory_research_scratchpad_worker.py @@ -11,6 +11,7 @@ OpenAIAgentsPlugin, StatefulMCPServerProvider, ) +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker from openai_agents.mcp.workflows.memory_research_scratchpad_workflow import ( @@ -22,18 +23,21 @@ async def main(): logging.basicConfig(level=logging.INFO) memory_server_provider = StatefulMCPServerProvider( - lambda: MCPServerStdio( + "MemoryServer", + lambda _: MCPServerStdio( name="MemoryServer", params={ "command": "npx", "args": ["-y", "@modelcontextprotocol/server-memory"], }, - ) + ), ) # Create client connected to server at the given address + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") client = await Client.connect( - "localhost:7233", + **config, plugins=[ OpenAIAgentsPlugin( model_params=ModelActivityParameters( diff --git a/openai_agents/mcp/run_memory_research_scratchpad_workflow.py b/openai_agents/mcp/run_memory_research_scratchpad_workflow.py index 03969fb4..bf724f9a 100644 --- a/openai_agents/mcp/run_memory_research_scratchpad_workflow.py +++ b/openai_agents/mcp/run_memory_research_scratchpad_workflow.py @@ -4,6 +4,7 @@ from temporalio.client import Client from temporalio.contrib.openai_agents import OpenAIAgentsPlugin +from temporalio.envconfig import ClientConfig from openai_agents.mcp.workflows.memory_research_scratchpad_workflow import ( MemoryResearchScratchpadWorkflow, @@ -11,9 +12,13 @@ async def main(): + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") client = await Client.connect( - "localhost:7233", - plugins=[OpenAIAgentsPlugin()], + **config, + plugins=[ + OpenAIAgentsPlugin(), + ], ) result = await client.execute_workflow( diff --git a/openai_agents/mcp/run_prompt_server_worker.py b/openai_agents/mcp/run_prompt_server_worker.py index e390c0ac..08b68fae 100644 --- a/openai_agents/mcp/run_prompt_server_worker.py +++ b/openai_agents/mcp/run_prompt_server_worker.py @@ -11,6 +11,7 @@ OpenAIAgentsPlugin, StatelessMCPServerProvider, ) +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker from openai_agents.mcp.workflows.prompt_server_workflow import PromptServerWorkflow @@ -23,17 +24,20 @@ async def main(): try: prompt_server_provider = StatelessMCPServerProvider( + "PromptServer", lambda: MCPServerStreamableHttp( name="PromptServer", params={ "url": "http://localhost:8000/mcp", }, - ) + ), ) # Create client connected to server at the given address + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") client = await Client.connect( - "localhost:7233", + **config, plugins=[ OpenAIAgentsPlugin( model_params=ModelActivityParameters( diff --git a/openai_agents/mcp/run_prompt_server_workflow.py b/openai_agents/mcp/run_prompt_server_workflow.py index 79e4bf65..9cad2725 100644 --- a/openai_agents/mcp/run_prompt_server_workflow.py +++ b/openai_agents/mcp/run_prompt_server_workflow.py @@ -4,14 +4,17 @@ from temporalio.client import Client from temporalio.contrib.openai_agents import OpenAIAgentsPlugin +from temporalio.envconfig import ClientConfig from openai_agents.mcp.workflows.prompt_server_workflow import PromptServerWorkflow async def main(): # Create client connected to server at the given address + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") client = await Client.connect( - "localhost:7233", + **config, plugins=[OpenAIAgentsPlugin()], ) diff --git a/openai_agents/mcp/run_sse_worker.py b/openai_agents/mcp/run_sse_worker.py index 406e65bf..8ed719bd 100644 --- a/openai_agents/mcp/run_sse_worker.py +++ b/openai_agents/mcp/run_sse_worker.py @@ -11,6 +11,7 @@ OpenAIAgentsPlugin, StatelessMCPServerProvider, ) +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker from openai_agents.mcp.workflows.sse_workflow import SseWorkflow @@ -23,17 +24,20 @@ async def main(): try: sse_server_provider = StatelessMCPServerProvider( + "SseServer", lambda: MCPServerSse( name="SseServer", params={ "url": "http://localhost:8000/sse", }, - ) + ), ) # Create client connected to server at the given address + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") client = await Client.connect( - "localhost:7233", + **config, plugins=[ OpenAIAgentsPlugin( model_params=ModelActivityParameters( diff --git a/openai_agents/mcp/run_sse_workflow.py b/openai_agents/mcp/run_sse_workflow.py index 42a45596..8effd5fe 100644 --- a/openai_agents/mcp/run_sse_workflow.py +++ b/openai_agents/mcp/run_sse_workflow.py @@ -4,14 +4,17 @@ from temporalio.client import Client from temporalio.contrib.openai_agents import OpenAIAgentsPlugin +from temporalio.envconfig import ClientConfig from openai_agents.mcp.workflows.sse_workflow import SseWorkflow async def main(): # Create client connected to server at the given address + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") client = await Client.connect( - "localhost:7233", + **config, plugins=[OpenAIAgentsPlugin()], ) diff --git a/openai_agents/mcp/run_streamable_http_worker.py b/openai_agents/mcp/run_streamable_http_worker.py index 9c178b6f..72414727 100644 --- a/openai_agents/mcp/run_streamable_http_worker.py +++ b/openai_agents/mcp/run_streamable_http_worker.py @@ -11,6 +11,7 @@ OpenAIAgentsPlugin, StatelessMCPServerProvider, ) +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker from openai_agents.mcp.workflows.streamable_http_workflow import StreamableHttpWorkflow @@ -23,17 +24,20 @@ async def main(): try: streamable_http_server_provider = StatelessMCPServerProvider( + "StreamableHttpServer", lambda: MCPServerStreamableHttp( name="StreamableHttpServer", params={ "url": "http://localhost:8000/mcp", }, - ) + ), ) # Create client connected to server at the given address + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") client = await Client.connect( - "localhost:7233", + **config, plugins=[ OpenAIAgentsPlugin( model_params=ModelActivityParameters( diff --git a/openai_agents/mcp/run_streamable_http_workflow.py b/openai_agents/mcp/run_streamable_http_workflow.py index aa5d1bac..b691e456 100644 --- a/openai_agents/mcp/run_streamable_http_workflow.py +++ b/openai_agents/mcp/run_streamable_http_workflow.py @@ -4,14 +4,17 @@ from temporalio.client import Client from temporalio.contrib.openai_agents import OpenAIAgentsPlugin +from temporalio.envconfig import ClientConfig from openai_agents.mcp.workflows.streamable_http_workflow import StreamableHttpWorkflow async def main(): # Create client connected to server at the given address + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") client = await Client.connect( - "localhost:7233", + **config, plugins=[OpenAIAgentsPlugin()], ) diff --git a/openai_agents/model_providers/run_gpt_oss_worker.py b/openai_agents/model_providers/run_gpt_oss_worker.py index 88c85fca..59798a1d 100644 --- a/openai_agents/model_providers/run_gpt_oss_worker.py +++ b/openai_agents/model_providers/run_gpt_oss_worker.py @@ -3,7 +3,12 @@ from datetime import timedelta from typing import Optional -from agents import Model, ModelProvider, OpenAIChatCompletionsModel +from agents import ( + Model, + ModelProvider, + OpenAIChatCompletionsModel, + set_tracing_disabled, +) from openai import AsyncOpenAI from temporalio.client import Client from temporalio.contrib.openai_agents import ModelActivityParameters, OpenAIAgentsPlugin @@ -27,6 +32,11 @@ def get_model(self, model_name: Optional[str]) -> Model: async def main(): + # Disable Agents SDK tracing — the default exporter sends traces to OpenAI's + # backend, which requires an OpenAI API key not available in these samples. + # Call here rather than in the workflow because it's a global side effect. + set_tracing_disabled(disabled=True) + # Configure logging to show workflow debug messages logging.basicConfig(level=logging.WARNING) logging.getLogger("temporalio.workflow").setLevel(logging.DEBUG) diff --git a/openai_agents/model_providers/run_litellm_provider_worker.py b/openai_agents/model_providers/run_litellm_provider_worker.py index 5eb8b8b2..3441013c 100644 --- a/openai_agents/model_providers/run_litellm_provider_worker.py +++ b/openai_agents/model_providers/run_litellm_provider_worker.py @@ -1,6 +1,7 @@ import asyncio from datetime import timedelta +from agents import set_tracing_disabled from agents.extensions.models.litellm_provider import LitellmProvider from temporalio.client import Client from temporalio.contrib.openai_agents import ModelActivityParameters, OpenAIAgentsPlugin @@ -12,6 +13,11 @@ async def main(): + # Disable Agents SDK tracing — the default exporter sends traces to OpenAI's + # backend, which requires an OpenAI API key not available in these samples. + # Call here rather than in the workflow because it's a global side effect. + set_tracing_disabled(disabled=True) + # Create client connected to server at the given address client = await Client.connect( "localhost:7233", diff --git a/openai_agents/model_providers/workflows/gpt_oss_workflow.py b/openai_agents/model_providers/workflows/gpt_oss_workflow.py index d7ed8021..821844b3 100644 --- a/openai_agents/model_providers/workflows/gpt_oss_workflow.py +++ b/openai_agents/model_providers/workflows/gpt_oss_workflow.py @@ -1,6 +1,6 @@ from __future__ import annotations -from agents import Agent, Runner, function_tool, set_tracing_disabled +from agents import Agent, Runner, function_tool from temporalio import workflow @@ -8,8 +8,6 @@ class GptOssWorkflow: @workflow.run async def run(self, prompt: str) -> str: - set_tracing_disabled(disabled=True) - @function_tool def get_weather(city: str): workflow.logger.debug(f"Getting weather for {city}") diff --git a/openai_agents/model_providers/workflows/litellm_auto_workflow.py b/openai_agents/model_providers/workflows/litellm_auto_workflow.py index 4a67ded4..9fe3d40b 100644 --- a/openai_agents/model_providers/workflows/litellm_auto_workflow.py +++ b/openai_agents/model_providers/workflows/litellm_auto_workflow.py @@ -1,6 +1,6 @@ from __future__ import annotations -from agents import Agent, Runner, function_tool, set_tracing_disabled +from agents import Agent, Runner, function_tool from temporalio import workflow @@ -8,8 +8,6 @@ class LitellmAutoWorkflow: @workflow.run async def run(self, prompt: str) -> str: - set_tracing_disabled(disabled=True) - @function_tool def get_weather(city: str): return f"The weather in {city} is sunny." diff --git a/openai_agents/tools/workflows/image_generator_workflow.py b/openai_agents/tools/workflows/image_generator_workflow.py index 7c58091b..20234125 100644 --- a/openai_agents/tools/workflows/image_generator_workflow.py +++ b/openai_agents/tools/workflows/image_generator_workflow.py @@ -4,6 +4,7 @@ from typing import Optional from agents import Agent, ImageGenerationTool, Runner +from openai.types.responses.response_output_item import ImageGenerationCall from temporalio import workflow @@ -34,7 +35,7 @@ async def run(self, prompt: str) -> ImageGenerationResult: for item in result.new_items: if ( item.type == "tool_call_item" - and item.raw_item.type == "image_generation_call" + and isinstance(item.raw_item, ImageGenerationCall) and (img_result := item.raw_item.result) ): image_data = img_result diff --git a/patching/starter.py b/patching/starter.py index 9e6d7f31..f1b92f32 100644 --- a/patching/starter.py +++ b/patching/starter.py @@ -2,6 +2,7 @@ import asyncio from temporalio.client import Client +from temporalio.envconfig import ClientConfig # Since it's just used for typing purposes, it doesn't matter which one we # import @@ -17,7 +18,9 @@ async def main(): raise RuntimeError("Either --start-workflow or --query-workflow is required") # Connect client - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) if args.start_workflow: handle = await client.start_workflow( diff --git a/patching/worker.py b/patching/worker.py index 8f1e3c82..417c8ef9 100644 --- a/patching/worker.py +++ b/patching/worker.py @@ -2,6 +2,7 @@ import asyncio from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker from patching.activities import post_patch_activity, pre_patch_activity @@ -30,7 +31,9 @@ async def main(): raise RuntimeError("Unrecognized workflow") # Connect client - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) # Run a worker for the workflow async with Worker( diff --git a/polling/frequent/run_frequent.py b/polling/frequent/run_frequent.py index 664a677c..42048092 100644 --- a/polling/frequent/run_frequent.py +++ b/polling/frequent/run_frequent.py @@ -1,12 +1,16 @@ import asyncio from temporalio.client import Client +from temporalio.envconfig import ClientConfig from polling.frequent.workflows import GreetingWorkflow async def main(): - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) + result = await client.execute_workflow( GreetingWorkflow.run, "World", diff --git a/polling/frequent/run_worker.py b/polling/frequent/run_worker.py index 00fcc27e..cf5ccb78 100644 --- a/polling/frequent/run_worker.py +++ b/polling/frequent/run_worker.py @@ -1,6 +1,7 @@ import asyncio from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker from polling.frequent.activities import compose_greeting @@ -8,7 +9,9 @@ async def main(): - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) worker = Worker( client, diff --git a/polling/infrequent/run_infrequent.py b/polling/infrequent/run_infrequent.py index 7cf206f2..8a0ea871 100644 --- a/polling/infrequent/run_infrequent.py +++ b/polling/infrequent/run_infrequent.py @@ -1,12 +1,16 @@ import asyncio from temporalio.client import Client +from temporalio.envconfig import ClientConfig from polling.infrequent.workflows import GreetingWorkflow async def main(): - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) + result = await client.execute_workflow( GreetingWorkflow.run, "World", diff --git a/polling/infrequent/run_worker.py b/polling/infrequent/run_worker.py index f600b949..f52a8082 100644 --- a/polling/infrequent/run_worker.py +++ b/polling/infrequent/run_worker.py @@ -1,6 +1,7 @@ import asyncio from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker from polling.infrequent.activities import compose_greeting @@ -8,7 +9,9 @@ async def main(): - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) worker = Worker( client, diff --git a/polling/periodic_sequence/run_periodic.py b/polling/periodic_sequence/run_periodic.py index f2ddcf7a..393fb8be 100644 --- a/polling/periodic_sequence/run_periodic.py +++ b/polling/periodic_sequence/run_periodic.py @@ -1,12 +1,16 @@ import asyncio from temporalio.client import Client +from temporalio.envconfig import ClientConfig from polling.periodic_sequence.workflows import GreetingWorkflow async def main(): - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) + result = await client.execute_workflow( GreetingWorkflow.run, "World", diff --git a/polling/periodic_sequence/run_worker.py b/polling/periodic_sequence/run_worker.py index e04ac4dc..9689ef2f 100644 --- a/polling/periodic_sequence/run_worker.py +++ b/polling/periodic_sequence/run_worker.py @@ -1,6 +1,7 @@ import asyncio from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker from polling.periodic_sequence.activities import compose_greeting @@ -8,7 +9,9 @@ async def main(): - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) worker = Worker( client, diff --git a/polling/test_service.py b/polling/test_service.py index 63494572..994b98ce 100644 --- a/polling/test_service.py +++ b/polling/test_service.py @@ -4,7 +4,7 @@ from temporalio import activity from temporalio.exceptions import ApplicationError, ApplicationErrorCategory -attempts = Counter[str]() +attempts = Counter[str | None]() ERROR_ATTEMPTS = 5 diff --git a/prometheus/starter.py b/prometheus/starter.py index b94f5601..571aee07 100644 --- a/prometheus/starter.py +++ b/prometheus/starter.py @@ -1,6 +1,7 @@ import asyncio from temporalio.client import Client +from temporalio.envconfig import ClientConfig from prometheus.worker import GreetingWorkflow, init_runtime_with_prometheus @@ -10,9 +11,12 @@ async def main(): runtime = init_runtime_with_prometheus(9001) + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + # Connect client client = await Client.connect( - "localhost:7233", + **config, runtime=runtime, ) diff --git a/prometheus/worker.py b/prometheus/worker.py index 5e7d64ab..b41b75c5 100644 --- a/prometheus/worker.py +++ b/prometheus/worker.py @@ -3,6 +3,7 @@ from temporalio import activity, workflow from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.runtime import PrometheusConfig, Runtime, TelemetryConfig from temporalio.worker import Worker @@ -38,9 +39,12 @@ def init_runtime_with_prometheus(port: int) -> Runtime: async def main(): runtime = init_runtime_with_prometheus(9000) + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + # Connect client client = await Client.connect( - "localhost:7233", + **config, runtime=runtime, ) diff --git a/pydantic_converter/starter.py b/pydantic_converter/starter.py index 7cc4cc2d..47766be6 100644 --- a/pydantic_converter/starter.py +++ b/pydantic_converter/starter.py @@ -5,15 +5,22 @@ from temporalio.client import Client from temporalio.contrib.pydantic import pydantic_data_converter +from temporalio.envconfig import ClientConfig from pydantic_converter.worker import MyPydanticModel, MyWorkflow async def main(): logging.basicConfig(level=logging.INFO) + + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + # Connect client using the Pydantic converter + client = await Client.connect( - "localhost:7233", data_converter=pydantic_data_converter + **config, + data_converter=pydantic_data_converter, ) # Run workflow diff --git a/pydantic_converter/worker.py b/pydantic_converter/worker.py index eac0966c..8acc1125 100644 --- a/pydantic_converter/worker.py +++ b/pydantic_converter/worker.py @@ -6,6 +6,7 @@ from temporalio import activity, workflow from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker # Always pass through external modules to the sandbox that you know are safe for @@ -41,9 +42,14 @@ async def run(self, models: List[MyPydanticModel]) -> List[MyPydanticModel]: async def main(): logging.basicConfig(level=logging.INFO) + + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + # Connect client using the Pydantic converter client = await Client.connect( - "localhost:7233", data_converter=pydantic_data_converter + **config, + data_converter=pydantic_data_converter, ) # Run a worker for the workflow diff --git a/pydantic_converter_v1/starter.py b/pydantic_converter_v1/starter.py index 8ab58bdc..33b0ad28 100644 --- a/pydantic_converter_v1/starter.py +++ b/pydantic_converter_v1/starter.py @@ -4,6 +4,7 @@ from ipaddress import IPv4Address from temporalio.client import Client +from temporalio.envconfig import ClientConfig from pydantic_converter_v1.converter import pydantic_data_converter from pydantic_converter_v1.worker import MyPydanticModel, MyWorkflow @@ -11,9 +12,15 @@ async def main(): logging.basicConfig(level=logging.INFO) + + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + # Connect client using the Pydantic converter + client = await Client.connect( - "localhost:7233", data_converter=pydantic_data_converter + **config, + data_converter=pydantic_data_converter, ) # Run workflow diff --git a/pydantic_converter_v1/worker.py b/pydantic_converter_v1/worker.py index 5c22b6f1..5ff65e1e 100644 --- a/pydantic_converter_v1/worker.py +++ b/pydantic_converter_v1/worker.py @@ -7,6 +7,7 @@ from temporalio import activity, workflow from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker from temporalio.worker.workflow_sandbox import ( SandboxedWorkflowRunner, @@ -70,9 +71,14 @@ def new_sandbox_runner() -> SandboxedWorkflowRunner: async def main(): logging.basicConfig(level=logging.INFO) + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + # Connect client using the Pydantic converter + client = await Client.connect( - "localhost:7233", data_converter=pydantic_data_converter + **config, + data_converter=pydantic_data_converter, ) # Run a worker for the workflow diff --git a/pyproject.toml b/pyproject.toml index 73007250..0927eea3 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -6,7 +6,7 @@ authors = [{ name = "Temporal Technologies Inc", email = "sdk@temporal.io" }] requires-python = ">=3.10" readme = "README.md" license = "MIT" -dependencies = ["temporalio>=1.18.0,<2"] +dependencies = ["temporalio>=1.26.0,<2"] [project.urls] Homepage = "https://github.com/temporalio/samples-python" @@ -16,8 +16,7 @@ Documentation = "https://docs.temporal.io/docs/python" [dependency-groups] dev = [ - "black>=22.3.0,<23", - "isort>=5.10.1,<6", + "ruff>=0.5.0,<0.6", "mypy>=1.4.1,<2", "pytest>=7.1.2,<8", "pytest-asyncio>=0.18.3,<0.19", @@ -28,43 +27,27 @@ dev = [ "poethepoet>=0.36.0", ] bedrock = ["boto3>=1.34.92,<2"] -dsl = [ - "pyyaml>=6.0.1,<7", - "types-pyyaml>=6.0.12,<7", - "dacite>=1.8.1,<2", -] -encryption = [ - "cryptography>=38.0.1,<39", - "aiohttp>=3.8.1,<4", -] -gevent = ["gevent==25.4.2 ; python_version >= '3.8'"] -langchain = [ - "langchain>=0.1.7,<0.2 ; python_version >= '3.8.1' and python_version < '4.0'", - "langchain-openai>=0.0.6,<0.0.7 ; python_version >= '3.8.1' and python_version < '4.0'", - "langsmith>=0.1.22,<0.2 ; python_version >= '3.8.1' and python_version < '4.0'", - "openai>=1.4.0,<2", - "fastapi>=0.115.12", - "tqdm>=4.62.0,<5", - "uvicorn[standard]>=0.24.0.post1,<0.25", -] -nexus = [ - "nexus-rpc>=1.1.0,<2", +dsl = ["pyyaml>=6.0.1,<7", "types-pyyaml>=6.0.12,<7", "dacite>=1.8.1,<2"] +encryption = ["cryptography>=38.0.1,<39", "aiohttp>=3.8.1,<4"] +gevent = ["gevent>=25.4.2 ; python_version >= '3.8'"] +langsmith-tracing = [ + "openai>=1.4.0", + "langsmith>=0.7.0", + "temporalio[pydantic,langsmith]>=1.26.0", ] +nexus = ["nexus-rpc>=1.1.0,<2"] open-telemetry = [ "temporalio[opentelemetry]", "opentelemetry-exporter-otlp-proto-grpc", ] openai-agents = [ - "openai-agents[litellm] == 0.3.2", - "temporalio[openai-agents] >= 1.18.0", + "openai-agents[litellm] >= 0.14.1", + "temporalio[openai-agents,opentelemetry] >= 1.26.0", "requests>=2.32.0,<3", ] pydantic-converter = ["pydantic>=2.10.6,<3"] sentry = ["sentry-sdk>=2.13.0"] -trio-async = [ - "trio>=0.28.0,<0.29", - "trio-asyncio>=0.15.0,<0.16", -] +trio-async = ["trio>=0.28.0,<0.29", "trio-asyncio>=0.15.0,<0.16"] cloud-export-to-parquet = [ "pandas>=2.2.2,<3 ; python_version >= '3.10' and python_version < '4.0'", "numpy>=1.26.0,<2 ; python_version >= '3.10' and python_version < '3.13'", @@ -72,6 +55,8 @@ cloud-export-to-parquet = [ "pyarrow>=19.0.1", ] +[tool.hatch.metadata] +allow-direct-references = true [tool.hatch.build.targets.sdist] include = ["./**/*.py"] @@ -90,7 +75,7 @@ packages = [ "encryption", "gevent_async", "hello", - "langchain", + "langsmith_tracing", "message_passing", "nexus", "open_telemetry", @@ -119,8 +104,15 @@ requires = ["hatchling"] build-backend = "hatchling.build" [tool.poe.tasks] -format = [{cmd = "uv run black ."}, {cmd = "uv run isort ."}] -lint = [{cmd = "uv run black --check ."}, {cmd = "uv run isort --check-only ."}, {ref = "lint-types" }] +format = [ + { cmd = "uv run ruff check --select I --fix" }, + { cmd = "uv run ruff format" }, +] +lint = [ + { cmd = "uv run ruff check --select I" }, + { cmd = "uv run ruff format --check" }, + { ref = "lint-types" }, +] lint-types = "uv run --all-groups mypy --check-untyped-defs --namespace-packages ." test = "uv run --all-groups pytest" @@ -130,9 +122,8 @@ log_cli = true log_cli_level = "INFO" log_cli_format = "%(asctime)s [%(levelname)8s] %(message)s (%(filename)s:%(lineno)s)" -[tool.isort] -profile = "black" -skip_gitignore = true +[tool.ruff] +target-version = "py310" [tool.mypy] ignore_missing_imports = true diff --git a/replay/replayer.py b/replay/replayer.py index 49f16313..4787b33b 100644 --- a/replay/replayer.py +++ b/replay/replayer.py @@ -1,6 +1,7 @@ import asyncio from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Replayer from replay.worker import JustActivity, JustTimer, TimerThenActivity @@ -8,7 +9,9 @@ async def main(): # Connect client - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) # Fetch the histories of the workflows to be replayed workflows = client.list_workflows('WorkflowId="replayer-workflow-id"') diff --git a/replay/starter.py b/replay/starter.py index daf07098..228e50c3 100644 --- a/replay/starter.py +++ b/replay/starter.py @@ -1,13 +1,16 @@ import asyncio from temporalio.client import Client +from temporalio.envconfig import ClientConfig from replay.worker import JustActivity, JustTimer, TimerThenActivity async def main(): # Connect client - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) # Run a few workflows # Importantly, normally we would *not* advise re-using the same workflow ID for all of these, diff --git a/replay/worker.py b/replay/worker.py index 3aebc099..4ac57da2 100644 --- a/replay/worker.py +++ b/replay/worker.py @@ -5,6 +5,7 @@ from temporalio import activity, workflow from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker @@ -71,7 +72,9 @@ async def main(): logging.basicConfig(level=logging.INFO) # Start client - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) # Run a worker for the workflow async with Worker( diff --git a/resource_pool/README.md b/resource_pool/README.md index fe48e1ab..5b746d7b 100644 --- a/resource_pool/README.md +++ b/resource_pool/README.md @@ -16,7 +16,7 @@ You should see output indicating that the `ResourcePoolWorkflow` serialized acce You can query the set of current resource resource holders with: - tctl wf query -w resource_pool --qt get_current_holders + temporal workflow query --workflow-id resource_pool --name get_current_holders # Other approaches @@ -41,7 +41,7 @@ Temporal's durable execution guarantees, this can only happen if: If a leak were to happen, you could discover the identity of the leaker using the query above, then: - tctl wf signal -w resource_pool --name release_resource --input '{ "release_key": "" } + temporal workflow signal --workflow-id resource_pool --name release_resource --input '{ "release_key": "" }' Performance: A single ResourcePoolWorkflow scales to tens, but not hundreds, of request/release events per second. It is best suited for allocating resources to long-running workflows. Actual performance will depend on your temporal server's diff --git a/resource_pool/starter.py b/resource_pool/starter.py index 2ae1ab44..2a50357a 100644 --- a/resource_pool/starter.py +++ b/resource_pool/starter.py @@ -3,6 +3,7 @@ from temporalio.client import Client, WorkflowFailureError, WorkflowHandle from temporalio.common import WorkflowIDConflictPolicy +from temporalio.envconfig import ClientConfig from resource_pool.pool_client.resource_pool_workflow import ( ResourcePoolWorkflow, @@ -17,7 +18,9 @@ async def main() -> None: # Connect client - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) # Initialize the resource pool resource_pool_handle = await client.start_workflow( diff --git a/resource_pool/worker.py b/resource_pool/worker.py index cb3a06dd..253e5f8e 100644 --- a/resource_pool/worker.py +++ b/resource_pool/worker.py @@ -2,6 +2,7 @@ import logging from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker from resource_pool.pool_client.resource_pool_workflow import ResourcePoolWorkflow @@ -12,7 +13,9 @@ async def main() -> None: logging.basicConfig(level=logging.INFO) # Start client - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) # Run a worker for the workflow worker = Worker( diff --git a/schedules/backfill_schedule.py b/schedules/backfill_schedule.py index 769b6a78..708ad07f 100644 --- a/schedules/backfill_schedule.py +++ b/schedules/backfill_schedule.py @@ -2,10 +2,14 @@ from datetime import datetime, timedelta from temporalio.client import Client, ScheduleBackfill, ScheduleOverlapPolicy +from temporalio.envconfig import ClientConfig async def main(): - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) + handle = client.get_schedule_handle( "workflow-schedule-id", ) diff --git a/schedules/delete_schedule.py b/schedules/delete_schedule.py index b6265636..d7b64394 100644 --- a/schedules/delete_schedule.py +++ b/schedules/delete_schedule.py @@ -1,10 +1,14 @@ import asyncio from temporalio.client import Client +from temporalio.envconfig import ClientConfig async def main(): - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) + handle = client.get_schedule_handle( "workflow-schedule-id", ) diff --git a/schedules/describe_schedule.py b/schedules/describe_schedule.py index 22bb832d..0db3fba5 100644 --- a/schedules/describe_schedule.py +++ b/schedules/describe_schedule.py @@ -1,10 +1,14 @@ import asyncio from temporalio.client import Client +from temporalio.envconfig import ClientConfig async def main(): - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) + handle = client.get_schedule_handle( "workflow-schedule-id", ) diff --git a/schedules/list_schedule.py b/schedules/list_schedule.py index a863aeee..15c0fd6a 100644 --- a/schedules/list_schedule.py +++ b/schedules/list_schedule.py @@ -1,10 +1,13 @@ import asyncio from temporalio.client import Client +from temporalio.envconfig import ClientConfig async def main() -> None: - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) async for schedule in await client.list_schedules(): print(f"List Schedule Info: {schedule.info}.") diff --git a/schedules/pause_schedule.py b/schedules/pause_schedule.py index a6f8721c..79a9ca03 100644 --- a/schedules/pause_schedule.py +++ b/schedules/pause_schedule.py @@ -1,10 +1,14 @@ import asyncio from temporalio.client import Client +from temporalio.envconfig import ClientConfig async def main(): - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) + handle = client.get_schedule_handle( "workflow-schedule-id", ) diff --git a/schedules/run_worker.py b/schedules/run_worker.py index 5252b1f7..00d14aaa 100644 --- a/schedules/run_worker.py +++ b/schedules/run_worker.py @@ -1,13 +1,17 @@ import asyncio from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker from your_activities import your_activity from your_workflows import YourSchedulesWorkflow async def main(): - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) + worker = Worker( client, task_queue="schedules-task-queue", diff --git a/schedules/start_schedule.py b/schedules/start_schedule.py index 6089be95..ead6202b 100644 --- a/schedules/start_schedule.py +++ b/schedules/start_schedule.py @@ -9,11 +9,15 @@ ScheduleSpec, ScheduleState, ) +from temporalio.envconfig import ClientConfig from your_workflows import YourSchedulesWorkflow async def main(): - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) + await client.create_schedule( "workflow-schedule-id", Schedule( diff --git a/schedules/trigger_schedule.py b/schedules/trigger_schedule.py index ca1f38f1..30939d32 100644 --- a/schedules/trigger_schedule.py +++ b/schedules/trigger_schedule.py @@ -1,10 +1,14 @@ import asyncio from temporalio.client import Client +from temporalio.envconfig import ClientConfig async def main(): - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) + handle = client.get_schedule_handle( "workflow-schedule-id", ) diff --git a/schedules/update_schedule.py b/schedules/update_schedule.py index 979c23a8..709eeda3 100644 --- a/schedules/update_schedule.py +++ b/schedules/update_schedule.py @@ -6,10 +6,14 @@ ScheduleUpdate, ScheduleUpdateInput, ) +from temporalio.envconfig import ClientConfig async def main(): - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) + handle = client.get_schedule_handle( "workflow-schedule-id", ) diff --git a/sentry/README.md b/sentry/README.md index 1cc75cf6..0062f815 100644 --- a/sentry/README.md +++ b/sentry/README.md @@ -3,6 +3,8 @@ This sample shows how to configure [Sentry](https://sentry.io) SDK (version 2) to intercept and capture errors from the Temporal SDK for workflows and activities. The integration adds some useful context to the errors, such as the activity type, task queue, etc. +Note: Sentry currently does not support Python 3.14, likewise this sample does not support Python 3.14. + ## Further details This is a small modification of the original example Sentry integration in this repo based on SDK v1. The integration diff --git a/sentry/starter.py b/sentry/starter.py index 372a732c..aa3f6271 100644 --- a/sentry/starter.py +++ b/sentry/starter.py @@ -1,13 +1,17 @@ import asyncio from temporalio.client import Client +from temporalio.envconfig import ClientConfig from sentry.workflow import SentryExampleWorkflow, SentryExampleWorkflowInput async def main(): + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + # Connect client - client = await Client.connect("localhost:7233") + client = await Client.connect(**config) # Run workflow try: diff --git a/sentry/worker.py b/sentry/worker.py index 723b8e52..1bcd153e 100644 --- a/sentry/worker.py +++ b/sentry/worker.py @@ -5,6 +5,7 @@ from sentry_sdk.integrations.asyncio import AsyncioIntegration from sentry_sdk.types import Event, Hint from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker from temporalio.worker.workflow_sandbox import ( SandboxedWorkflowRunner, @@ -51,8 +52,11 @@ async def main(): # Initialize the Sentry SDK initialise_sentry() + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + # Start client - client = await Client.connect("localhost:7233") + client = await Client.connect(**config) # Run a worker for the workflow async with Worker( diff --git a/sleep_for_days/README.md b/sleep_for_days/README.md index 69302cc7..5117fcdb 100644 --- a/sleep_for_days/README.md +++ b/sleep_for_days/README.md @@ -2,7 +2,7 @@ This sample demonstrates how to create a Temporal workflow that runs forever, sending an email every 30 days. -To run, first see the main [README.md](../../README.md) for prerequisites. +To run, first see the main [README.md](../README.md) for prerequisites. Then create two terminals. diff --git a/sleep_for_days/starter.py b/sleep_for_days/starter.py index 765842b2..98dc083d 100644 --- a/sleep_for_days/starter.py +++ b/sleep_for_days/starter.py @@ -3,13 +3,18 @@ from typing import Optional from temporalio.client import Client +from temporalio.envconfig import ClientConfig from sleep_for_days import TASK_QUEUE from sleep_for_days.workflows import SleepForDaysWorkflow async def main(client: Optional[Client] = None): - client = client or await Client.connect("localhost:7233") + if not client: + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) + wf_handle = await client.start_workflow( SleepForDaysWorkflow.run, id=f"sleep-for-days-workflow-id-{uuid.uuid4()}", diff --git a/sleep_for_days/worker.py b/sleep_for_days/worker.py index d03ec726..59799607 100644 --- a/sleep_for_days/worker.py +++ b/sleep_for_days/worker.py @@ -2,6 +2,7 @@ import logging from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker from sleep_for_days import TASK_QUEUE @@ -10,7 +11,9 @@ async def main(): - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) worker = Worker( client, diff --git a/tests/conftest.py b/tests/conftest.py index e63a059b..65de246e 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -45,6 +45,8 @@ async def env(request) -> AsyncGenerator[WorkflowEnvironment, None]: dev_server_extra_args=[ "--dynamic-config-value", "frontend.enableExecuteMultiOperation=true", + "--dynamic-config-value", + "system.enableEagerWorkflowStart=true", ] ) elif env_type == "time-skipping": diff --git a/tests/eager_wf_start/__init__.py b/tests/eager_wf_start/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/tests/eager_wf_start/workflow_test.py b/tests/eager_wf_start/workflow_test.py new file mode 100644 index 00000000..1080f5bc --- /dev/null +++ b/tests/eager_wf_start/workflow_test.py @@ -0,0 +1,29 @@ +import uuid + +from temporalio.client import Client +from temporalio.worker import Worker + +from eager_wf_start.activities import greeting +from eager_wf_start.workflows import EagerWorkflow + + +async def test_eager_wf_start(client: Client): + task_queue_name = str(uuid.uuid4()) + + async with Worker( + client, + task_queue=task_queue_name, + workflows=[EagerWorkflow], + activities=[greeting], + ): + handle = await client.start_workflow( + EagerWorkflow.run, + "Temporal", + id=f"workflow-{uuid.uuid4()}", + task_queue=task_queue_name, + request_eager_start=True, + ) + print("HANDLE", handle.__temporal_eagerly_started) + assert handle.__temporal_eagerly_started + result = await handle.result() + assert result == "Hello Temporal!" diff --git a/tests/hello/hello_change_log_level_test.py b/tests/hello/hello_change_log_level_test.py index e3cd2334..e83e08c4 100644 --- a/tests/hello/hello_change_log_level_test.py +++ b/tests/hello/hello_change_log_level_test.py @@ -10,7 +10,6 @@ async def test_workflow_with_log_capture(client: Client): - log_stream = io.StringIO() handler = logging.StreamHandler(log_stream) handler.setLevel(logging.ERROR) diff --git a/tests/hello/hello_standalone_activity_test.py b/tests/hello/hello_standalone_activity_test.py new file mode 100644 index 00000000..d40b09fa --- /dev/null +++ b/tests/hello/hello_standalone_activity_test.py @@ -0,0 +1,31 @@ +import uuid +from concurrent.futures import ThreadPoolExecutor +from datetime import timedelta + +import pytest +from temporalio.client import Client +from temporalio.worker import Worker + +from hello_standalone_activity.my_activity import ComposeGreetingInput, compose_greeting + + +async def test_execute_standalone_activity(client: Client): + pytest.skip( + "Standalone Activity is not yet supported by `temporal server start-dev`" + ) + task_queue_name = str(uuid.uuid4()) + + async with Worker( + client, + task_queue=task_queue_name, + activities=[compose_greeting], + activity_executor=ThreadPoolExecutor(5), + ): + result = await client.execute_activity( + compose_greeting, + args=[ComposeGreetingInput("Hello", "World")], + id=str(uuid.uuid4()), + task_queue=task_queue_name, + start_to_close_timeout=timedelta(seconds=10), + ) + assert result == "Hello, World!" diff --git a/tests/langsmith_tracing/__init__.py b/tests/langsmith_tracing/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/tests/langsmith_tracing/helpers.py b/tests/langsmith_tracing/helpers.py new file mode 100644 index 00000000..afd3d1c4 --- /dev/null +++ b/tests/langsmith_tracing/helpers.py @@ -0,0 +1,8 @@ +"""Shared test helpers for LangSmith tracing tests.""" + +from langsmith_tracing.chatbot.activities import ChatResponse + + +def make_text_response(text: str) -> ChatResponse: + """Build a minimal ChatResponse with a text output.""" + return ChatResponse(id="resp_mock", output_text=text) diff --git a/tests/langsmith_tracing/test_basic.py b/tests/langsmith_tracing/test_basic.py new file mode 100644 index 00000000..b5be2f35 --- /dev/null +++ b/tests/langsmith_tracing/test_basic.py @@ -0,0 +1,34 @@ +import uuid + +from temporalio import activity +from temporalio.client import Client +from temporalio.contrib.langsmith import LangSmithPlugin +from temporalio.testing import WorkflowEnvironment +from temporalio.worker import Worker + +from langsmith_tracing.basic.activities import OpenAIRequest +from langsmith_tracing.basic.workflows import BasicLLMWorkflow + + +async def test_basic_workflow(client: Client, env: WorkflowEnvironment): + expected_text = "Temporal is a durable execution platform." + + @activity.defn(name="call_openai") + async def mock_call_openai(request: OpenAIRequest) -> str: + return expected_text + + async with Worker( + client, + task_queue="test-langsmith-basic", + workflows=[BasicLLMWorkflow], + activities=[mock_call_openai], + plugins=[LangSmithPlugin()], + ): + result = await client.execute_workflow( + BasicLLMWorkflow.run, + "What is Temporal?", + id=f"test-basic-{uuid.uuid4().hex[:8]}", + task_queue="test-langsmith-basic", + ) + + assert result == expected_text diff --git a/tests/langsmith_tracing/test_chatbot.py b/tests/langsmith_tracing/test_chatbot.py new file mode 100644 index 00000000..2febb654 --- /dev/null +++ b/tests/langsmith_tracing/test_chatbot.py @@ -0,0 +1,119 @@ +import json +import uuid + +from temporalio import activity +from temporalio.client import Client +from temporalio.contrib.langsmith import LangSmithPlugin +from temporalio.testing import WorkflowEnvironment +from temporalio.worker import Worker + +from langsmith_tracing.chatbot.activities import ChatResponse, OpenAIRequest, ToolCall +from langsmith_tracing.chatbot.workflows import ChatbotWorkflow +from tests.langsmith_tracing.helpers import make_text_response + + +def _make_function_call_response( + name: str, arguments: dict, call_id: str = "call_123" +) -> ChatResponse: + return ChatResponse( + id="resp_tool", + tool_calls=[ + ToolCall( + call_id=call_id, + name=name, + arguments=json.dumps(arguments), + ) + ], + ) + + +async def test_chatbot_save_note(client: Client, env: WorkflowEnvironment): + """Test save_note tool call loop — save_note runs as a workflow method.""" + call_count = 0 + + @activity.defn(name="call_openai") + async def mock_call_openai(request: OpenAIRequest) -> ChatResponse: + nonlocal call_count + call_count += 1 + if call_count == 1: + return _make_function_call_response( + name="save_note", + arguments={"name": "greeting", "content": "Hello world"}, + ) + return make_text_response("Note saved successfully!") + + async with Worker( + client, + task_queue="test-langsmith-chatbot", + workflows=[ChatbotWorkflow], + activities=[mock_call_openai], + plugins=[LangSmithPlugin()], + ): + wf_handle = await client.start_workflow( + ChatbotWorkflow.run, + id=f"test-chatbot-{uuid.uuid4().hex[:8]}", + task_queue="test-langsmith-chatbot", + ) + + response = await wf_handle.execute_update( + ChatbotWorkflow.message_from_user, "Save a note" + ) + assert response == "Note saved successfully!" + + notes = await wf_handle.query(ChatbotWorkflow.notes) + assert notes == {"greeting": "Hello world"} + + await wf_handle.signal(ChatbotWorkflow.exit) + result = await wf_handle.result() + assert result == "Session ended." + + +async def test_chatbot_read_note(client: Client, env: WorkflowEnvironment): + """Test read_note tool call loop — read_note runs as a workflow method.""" + call_count = 0 + + @activity.defn(name="call_openai") + async def mock_call_openai(request: OpenAIRequest) -> ChatResponse: + nonlocal call_count + call_count += 1 + if call_count == 1: + return _make_function_call_response( + name="save_note", + arguments={"name": "todo", "content": "Buy milk"}, + call_id="call_save", + ) + if call_count == 2: + return make_text_response("Saved your todo!") + if call_count == 3: + return _make_function_call_response( + name="read_note", + arguments={"name": "todo"}, + call_id="call_read", + ) + return make_text_response("Your todo says: Buy milk") + + async with Worker( + client, + task_queue="test-langsmith-chatbot-read", + workflows=[ChatbotWorkflow], + activities=[mock_call_openai], + plugins=[LangSmithPlugin()], + ): + wf_handle = await client.start_workflow( + ChatbotWorkflow.run, + id=f"test-chatbot-read-{uuid.uuid4().hex[:8]}", + task_queue="test-langsmith-chatbot-read", + ) + + response = await wf_handle.execute_update( + ChatbotWorkflow.message_from_user, "Save my todo" + ) + assert response == "Saved your todo!" + + response = await wf_handle.execute_update( + ChatbotWorkflow.message_from_user, "Read my todo" + ) + assert response == "Your todo says: Buy milk" + + await wf_handle.signal(ChatbotWorkflow.exit) + await wf_handle.result() diff --git a/tests/resource_pool/workflow_test.py b/tests/resource_pool/workflow_test.py index 42a6fbde..0d2eb654 100644 --- a/tests/resource_pool/workflow_test.py +++ b/tests/resource_pool/workflow_test.py @@ -28,7 +28,7 @@ async def test_resource_pool_workflow(client: Client): # Mock out the activity to count executions @activity.defn(name="use_resource") async def use_resource_mock(input: UseResourceActivityInput) -> None: - workflow_id = activity.info().workflow_id + workflow_id = activity.info().workflow_id or "" resource_usage[input.resource].append((workflow_id, "start")) # We need a small sleep here to bait out races await asyncio.sleep(0.05) @@ -70,10 +70,10 @@ async def use_resource_mock(input: UseResourceActivityInput) -> None: holder = None # Are all the resources free, per the query? - handle: WorkflowHandle[ - ResourcePoolWorkflow, None - ] = client.get_workflow_handle_for( - ResourcePoolWorkflow.run, RESOURCE_POOL_WORKFLOW_ID + handle: WorkflowHandle[ResourcePoolWorkflow, None] = ( + client.get_workflow_handle_for( + ResourcePoolWorkflow.run, RESOURCE_POOL_WORKFLOW_ID + ) ) query_result = await handle.query(ResourcePoolWorkflow.get_current_holders) assert query_result == {"r_a": None, "r_b": None, "r_c": None} diff --git a/tests/sentry/test_interceptor.py b/tests/sentry/test_interceptor.py index 731bad8c..f9f931e8 100644 --- a/tests/sentry/test_interceptor.py +++ b/tests/sentry/test_interceptor.py @@ -1,7 +1,15 @@ +import sys import unittest.mock from collections import abc import pytest + +if sys.version_info >= (3, 14): + pytest.skip( + "Sentry does not support Python 3.14 yet.", + allow_module_level=True, + ) + import sentry_sdk import temporalio.activity import temporalio.workflow diff --git a/tests/trio_async/workflow_test.py b/tests/trio_async/workflow_test.py index cce95fac..15d678aa 100644 --- a/tests/trio_async/workflow_test.py +++ b/tests/trio_async/workflow_test.py @@ -2,6 +2,11 @@ import uuid import pytest + +if sys.version_info >= (3, 14): + pytest.skip("trio-asyncio not supported on Python 3.14+", allow_module_level=True) + + import trio_asyncio from temporalio.client import Client from temporalio.worker import Worker diff --git a/trio_async/README.md b/trio_async/README.md index 4c9770fb..dfa02eab 100644 --- a/trio_async/README.md +++ b/trio_async/README.md @@ -5,6 +5,8 @@ This sample shows how to use Temporal asyncio with [Trio](https://trio.readthedo and worker in a Trio setting, and how Trio-based code can run in both asyncio async activities and threaded sync activities. +NOTE: This sample only works on Python versions < 3.14. + For this sample, the optional `trio_async` dependency group must be included. To include, run: uv sync --group trio_async diff --git a/trio_async/starter.py b/trio_async/starter.py index 67f7568b..6535ca98 100644 --- a/trio_async/starter.py +++ b/trio_async/starter.py @@ -2,6 +2,7 @@ import trio_asyncio from temporalio.client import Client +from temporalio.envconfig import ClientConfig from trio_async import workflows @@ -11,7 +12,9 @@ async def main(): logging.basicConfig(level=logging.INFO) # Connect client - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) # Execute the workflow result = await client.execute_workflow( diff --git a/trio_async/worker.py b/trio_async/worker.py index 29f059b4..7cb9685f 100644 --- a/trio_async/worker.py +++ b/trio_async/worker.py @@ -5,6 +5,7 @@ import trio_asyncio from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker from trio_async import activities, workflows @@ -15,7 +16,9 @@ async def main(): logging.basicConfig(level=logging.INFO) # Connect client - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) # Temporal runs threaded activities and workflow tasks via run_in_executor. # Due to how trio_asyncio works, you can only do run_in_executor with their @@ -23,7 +26,6 @@ async def main(): # for both activities and workflow tasks and by default the worker supports # 100 max concurrent activity tasks and 100 max concurrent workflow tasks. with trio_asyncio.TrioExecutor(max_workers=200) as thread_executor: - # Run a worker for the workflow async with Worker( client, diff --git a/updatable_timer/starter.py b/updatable_timer/starter.py index 88b4d0d4..8ce0f4f9 100644 --- a/updatable_timer/starter.py +++ b/updatable_timer/starter.py @@ -5,6 +5,7 @@ from temporalio import exceptions from temporalio.client import Client +from temporalio.envconfig import ClientConfig from updatable_timer import TASK_QUEUE from updatable_timer.workflow import Workflow @@ -13,7 +14,10 @@ async def main(client: Optional[Client] = None): logging.basicConfig(level=logging.INFO) - client = client or await Client.connect("localhost:7233") + if not client: + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) try: handle = await client.start_workflow( Workflow.run, diff --git a/updatable_timer/wake_up_time_updater.py b/updatable_timer/wake_up_time_updater.py index f406c186..43d24838 100644 --- a/updatable_timer/wake_up_time_updater.py +++ b/updatable_timer/wake_up_time_updater.py @@ -4,6 +4,7 @@ from typing import Optional from temporalio.client import Client +from temporalio.envconfig import ClientConfig from updatable_timer.workflow import Workflow @@ -11,7 +12,11 @@ async def main(client: Optional[Client] = None): logging.basicConfig(level=logging.INFO) - client = client or await Client.connect("localhost:7233") + if not client: + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) + handle = client.get_workflow_handle(workflow_id="updatable-timer-workflow") # signal workflow about the wake up time change await handle.signal( diff --git a/updatable_timer/worker.py b/updatable_timer/worker.py index 096fa1ff..8bb3d47a 100644 --- a/updatable_timer/worker.py +++ b/updatable_timer/worker.py @@ -2,6 +2,7 @@ import logging from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker from updatable_timer import TASK_QUEUE @@ -13,7 +14,10 @@ async def main(): logging.basicConfig(level=logging.INFO) - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + 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Limitations + +CPU-bound tasks effectively cannot run in parallel in Python due to the [Global Interpreter Lock (GIL)](https://docs.python.org/3/glossary.html#term-global-interpreter-lock). The Python standard library's [`threading` module](https://docs.python.org/3/library/threading.html) provides the following guidance: + +> CPython implementation detail: In CPython, due to the Global Interpreter Lock, only one thread can execute Python code at once (even though certain performance-oriented libraries might overcome this limitation). If you want your application to make better use of the computational resources of multi-core machines, you are advised to use multiprocessing or concurrent.futures.ProcessPoolExecutor. However, threading is still an appropriate model if you want to run multiple I/O-bound tasks simultaneously. + +## Temporal Workflow Tasks in Python + +[Temporal Workflow Tasks](https://docs.temporal.io/tasks#workflow-task) are CPU-bound operations and therefore cannot be run concurrently using threads or an async runtime. Instead, we can use [`concurrent.futures.ProcessPoolExecutor`](https://docs.python.org/3/library/concurrent.futures.html#concurrent.futures.ProcessPoolExecutor) or the [`multiprocessing` module](https://docs.python.org/3/library/multiprocessing.html), as suggested by the `threading` documentation, to more appropriately utilize machine resources. + +This sample demonstrates how to use `concurrent.futures.ProcessPoolExecutor` to run multiple workflow worker processes. + +## Running the Sample + +To run, first see the root [README.md](../README.md) for prerequisites. Then execute the following commands from the root directory: + +``` +uv run worker_multiprocessing/worker.py +uv run worker_multiprocessing/starter.py +``` + +Both `worker.py` and `starter.py` have minimal arguments that can be adjusted to modify how the sample runs. + +``` +uv run worker_multiprocessing/worker.py -h + +usage: worker.py [-h] [-w NUM_WORKFLOW_WORKERS] [-a NUM_ACTIVITY_WORKERS] + +options: + -h, --help show this help message and exit + -w, --num-workflow-workers NUM_WORKFLOW_WORKERS + -a, --num-activity-workers NUM_ACTIVITY_WORKERS +``` + +``` +uv run worker_multiprocessing/starter.py -h + +usage: starter.py [-h] [-n NUM_WORKFLOWS] + +options: + -h, --help show this help message and exit + -n, --num-workflows NUM_WORKFLOWS + the number of workflows to execute +``` + +## Example Output + +``` +uv run worker_multiprocessing/worker.py + +starting 2 workflow worker(s) and 1 activity worker(s) +waiting for keyboard interrupt or for all workers to exit +workflow-worker:0 starting +workflow-worker:1 starting +activity-worker:0 starting +workflow-worker:0 shutting down +activity-worker:0 shutting down +workflow-worker:1 shutting down +``` + + +``` +uv run worker_multiprocessing/starter.py + +wf-starting-pid:19178 | activity-pid:19180 | wf-ending-pid:19178 +wf-starting-pid:19179 | activity-pid:19180 | wf-ending-pid:19179 +wf-starting-pid:19178 | activity-pid:19180 | wf-ending-pid:19178 +wf-starting-pid:19179 | activity-pid:19180 | wf-ending-pid:19179 +wf-starting-pid:19178 | activity-pid:19180 | wf-ending-pid:19178 +wf-starting-pid:19179 | activity-pid:19180 | wf-ending-pid:19179 +wf-starting-pid:19178 | activity-pid:19180 | wf-ending-pid:19178 +wf-starting-pid:19179 | activity-pid:19180 | wf-ending-pid:19179 +wf-starting-pid:19178 | activity-pid:19180 | wf-ending-pid:19178 +wf-starting-pid:19179 | activity-pid:19180 | wf-ending-pid:19179 +wf-starting-pid:19178 | activity-pid:19180 | wf-ending-pid:19178 +wf-starting-pid:19179 | activity-pid:19180 | wf-ending-pid:19179 +wf-starting-pid:19178 | activity-pid:19180 | wf-ending-pid:19178 +wf-starting-pid:19179 | activity-pid:19180 | wf-ending-pid:19179 +wf-starting-pid:19178 | activity-pid:19180 | wf-ending-pid:19178 +wf-starting-pid:19179 | activity-pid:19180 | wf-ending-pid:19179 +wf-starting-pid:19178 | activity-pid:19180 | wf-ending-pid:19178 +wf-starting-pid:19179 | activity-pid:19180 | wf-ending-pid:19179 +wf-starting-pid:19179 | activity-pid:19180 | wf-ending-pid:19179 +wf-starting-pid:19178 | activity-pid:19180 | wf-ending-pid:19178 +wf-starting-pid:19179 | activity-pid:19180 | wf-ending-pid:19179 +wf-starting-pid:19178 | activity-pid:19180 | wf-ending-pid:19178 +wf-starting-pid:19179 | activity-pid:19180 | wf-ending-pid:19179 +wf-starting-pid:19178 | activity-pid:19180 | wf-ending-pid:19178 +wf-starting-pid:19178 | activity-pid:19180 | wf-ending-pid:19178 +``` diff --git a/worker_multiprocessing/__init__.py b/worker_multiprocessing/__init__.py new file mode 100644 index 00000000..d9e30b8a --- /dev/null +++ b/worker_multiprocessing/__init__.py @@ -0,0 +1,2 @@ +WORKFLOW_TASK_QUEUE = "workflow-task-queue" +ACTIVITY_TASK_QUEUE = "activity-task-queue" diff --git a/worker_multiprocessing/activities.py b/worker_multiprocessing/activities.py new file mode 100644 index 00000000..dbbbc677 --- /dev/null +++ b/worker_multiprocessing/activities.py @@ -0,0 +1,8 @@ +import os + +from temporalio import activity + + +@activity.defn +async def echo_pid_activity(input: str) -> str: + return f"{input} | activity-pid:{os.getpid()}" diff --git a/worker_multiprocessing/starter.py b/worker_multiprocessing/starter.py new file mode 100644 index 00000000..3267694d --- /dev/null +++ b/worker_multiprocessing/starter.py @@ -0,0 +1,48 @@ +import argparse +import asyncio +import uuid + +from temporalio.client import Client +from temporalio.envconfig import ClientConfig + +from worker_multiprocessing import WORKFLOW_TASK_QUEUE +from worker_multiprocessing.workflows import ParallelizedWorkflow + + +class Args(argparse.Namespace): + num_workflows: int + + +async def main(): + parser = argparse.ArgumentParser() + parser.add_argument( + "-n", + "--num-workflows", + help="the number of workflows to execute", + type=int, + default=25, + ) + args = parser.parse_args(namespace=Args()) + + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) + + # Start several workflows + wf_handles = [ + client.execute_workflow( + ParallelizedWorkflow.run, + id=f"greeting-workflow-id-{uuid.uuid4()}", + task_queue=WORKFLOW_TASK_QUEUE, + ) + for _ in range(args.num_workflows) + ] + + # Wait for workflow completion + for wf in asyncio.as_completed(wf_handles): + result = await wf + print(result) + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/worker_multiprocessing/worker.py b/worker_multiprocessing/worker.py new file mode 100644 index 00000000..bda69ba6 --- /dev/null +++ b/worker_multiprocessing/worker.py @@ -0,0 +1,146 @@ +import argparse +import asyncio +import concurrent.futures +import dataclasses +import multiprocessing +import traceback +from typing import Literal + +from temporalio.client import Client +from temporalio.envconfig import ClientConfig +from temporalio.runtime import Runtime, TelemetryConfig +from temporalio.worker import PollerBehaviorSimpleMaximum, Worker +from temporalio.worker.workflow_sandbox import ( + SandboxedWorkflowRunner, + SandboxRestrictions, +) + +from worker_multiprocessing import ACTIVITY_TASK_QUEUE, WORKFLOW_TASK_QUEUE +from worker_multiprocessing.activities import echo_pid_activity +from worker_multiprocessing.workflows import ParallelizedWorkflow + +# Immediately prevent the default Runtime from being created to ensure +# each process creates it's own +Runtime.prevent_default() + + +class Args(argparse.Namespace): + num_workflow_workers: int + num_activity_workers: int + + @property + def total_workers(self) -> int: + return self.num_activity_workers + self.num_workflow_workers + + +def main(): + parser = argparse.ArgumentParser() + parser.add_argument("-w", "--num-workflow-workers", type=int, default=2) + parser.add_argument("-a", "--num-activity-workers", type=int, default=1) + args = parser.parse_args(namespace=Args()) + print( + f"starting {args.num_workflow_workers} workflow worker(s) and {args.num_activity_workers} activity worker(s)" + ) + + # This sample prefers fork to avoid re-importing modules + # and decrease startup time. Fork is not available on all + # operating systems, so we fallback to 'spawn' when not available + try: + mp_ctx = multiprocessing.get_context("fork") + except ValueError: + mp_ctx = multiprocessing.get_context("spawn") # type: ignore + + with concurrent.futures.ProcessPoolExecutor( + args.total_workers, mp_context=mp_ctx + ) as executor: + # Start workflow workers by submitting them to the + # ProcessPoolExecutor + worker_futures = [ + executor.submit(worker_entry, "workflow", i) + for i in range(args.num_workflow_workers) + ] + + # In this sample, we start activity workers as separate processes in the + # same way we do workflow workers. In production, activity workers + # are often deployed separately from workflow workers to account for + # differing scaling characteristics. + worker_futures.extend( + [ + executor.submit(worker_entry, "activity", i) + for i in range(args.num_activity_workers) + ] + ) + + try: + print("waiting for keyboard interrupt or for all workers to exit") + for worker in concurrent.futures.as_completed(worker_futures): + print("ERROR: worker exited unexpectedly") + if worker.exception(): + traceback.print_exception(worker.exception()) + except KeyboardInterrupt: + pass + + +def worker_entry(worker_type: Literal["workflow", "activity"], id: int): + Runtime.set_default(Runtime(telemetry=TelemetryConfig())) + + async def run_worker(): + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) + + if worker_type == "workflow": + worker = workflow_worker(client) + else: + worker = activity_worker(client) + + try: + print(f"{worker_type}-worker:{id} starting") + await asyncio.shield(worker.run()) + except asyncio.CancelledError: + print(f"{worker_type}-worker:{id} shutting down") + await worker.shutdown() + + asyncio.run(run_worker()) + + +def workflow_worker(client: Client) -> Worker: + """ + Create a workflow worker that is configured to leverage being run + as many child processes. + """ + return Worker( + client, + task_queue=WORKFLOW_TASK_QUEUE, + workflows=[ParallelizedWorkflow], + # Workflow tasks are CPU bound, but generally execute quickly. + # Because we're leveraging multiprocessing to achieve parallelism, + # we want each workflow worker to be confirgured for small workflow + # task processing. + max_concurrent_workflow_tasks=2, + workflow_task_poller_behavior=PollerBehaviorSimpleMaximum(2), + # Allow workflows to access the os module to access the pid + workflow_runner=SandboxedWorkflowRunner( + restrictions=dataclasses.replace( + SandboxRestrictions.default, + invalid_module_members=SandboxRestrictions.invalid_module_members_default.with_child_unrestricted( + "os" + ), + ) + ), + ) + + +def activity_worker(client: Client) -> Worker: + """ + Create a basic activity worker + """ + return Worker( + client, + task_queue=ACTIVITY_TASK_QUEUE, + activities=[echo_pid_activity], + ) + + +if __name__ == "__main__": + main() diff --git a/worker_multiprocessing/workflows.py b/worker_multiprocessing/workflows.py new file mode 100644 index 00000000..04f6b635 --- /dev/null +++ b/worker_multiprocessing/workflows.py @@ -0,0 +1,22 @@ +import os +from datetime import timedelta + +from temporalio import workflow + +from worker_multiprocessing import ACTIVITY_TASK_QUEUE +from worker_multiprocessing.activities import echo_pid_activity + + +@workflow.defn +class ParallelizedWorkflow: + @workflow.run + async def run(self) -> str: + pid = os.getpid() + activity_result = await workflow.execute_activity( + echo_pid_activity, + f"wf-starting-pid:{pid}", + task_queue=ACTIVITY_TASK_QUEUE, + start_to_close_timeout=timedelta(seconds=10), + ) + + return f"{activity_result} | wf-ending-pid:{pid}" diff --git a/worker_specific_task_queues/starter.py b/worker_specific_task_queues/starter.py index c55c63be..61009436 100644 --- a/worker_specific_task_queues/starter.py +++ b/worker_specific_task_queues/starter.py @@ -2,13 +2,16 @@ from uuid import uuid4 from temporalio.client import Client +from temporalio.envconfig import ClientConfig from worker_specific_task_queues.tasks import FileProcessing async def main(): # Connect client - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) # Start 10 concurrent workflows futures = [] diff --git a/worker_specific_task_queues/worker.py b/worker_specific_task_queues/worker.py index 30ea18b6..95824cfd 100644 --- a/worker_specific_task_queues/worker.py +++ b/worker_specific_task_queues/worker.py @@ -6,6 +6,7 @@ from temporalio import activity from temporalio.client import Client +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker from worker_specific_task_queues import tasks @@ -31,7 +32,9 @@ async def select_task_queue() -> str: return task_queue # Start client - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) # Run a worker to distribute the workflows run_futures = [] diff --git a/worker_versioning/app.py b/worker_versioning/app.py index 8b32aa94..78e1d641 100644 --- a/worker_versioning/app.py +++ b/worker_versioning/app.py @@ -5,6 +5,7 @@ import uuid from temporalio.client import Client +from temporalio.envconfig import ClientConfig TASK_QUEUE = "worker-versioning" DEPLOYMENT_NAME = "my-deployment" @@ -13,7 +14,9 @@ async def main() -> None: - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) # Wait for v1 worker and set as current version logging.info( diff --git a/worker_versioning/workerv1.py b/worker_versioning/workerv1.py index 13c4ed4b..221b5ca9 100644 --- a/worker_versioning/workerv1.py +++ b/worker_versioning/workerv1.py @@ -5,6 +5,7 @@ from temporalio.client import Client from temporalio.common import WorkerDeploymentVersion +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker, WorkerDeploymentConfig from worker_versioning.activities import some_activity, some_incompatible_activity @@ -16,6 +17,8 @@ async def main() -> None: """Run worker v1.""" + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") client = await Client.connect("localhost:7233") # Create worker v1 diff --git a/worker_versioning/workerv1_1.py b/worker_versioning/workerv1_1.py index 779db3f9..4f21d616 100644 --- a/worker_versioning/workerv1_1.py +++ b/worker_versioning/workerv1_1.py @@ -5,6 +5,7 @@ from temporalio.client import Client from temporalio.common import WorkerDeploymentVersion +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker, WorkerDeploymentConfig from worker_versioning.activities import some_activity, some_incompatible_activity @@ -16,7 +17,9 @@ async def main() -> None: """Run worker v1.1.""" - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) # Create worker v1.1 worker = Worker( diff --git a/worker_versioning/workerv2.py b/worker_versioning/workerv2.py index 107e1a52..557f70ab 100644 --- a/worker_versioning/workerv2.py +++ b/worker_versioning/workerv2.py @@ -5,6 +5,7 @@ from temporalio.client import Client from temporalio.common import WorkerDeploymentVersion +from temporalio.envconfig import ClientConfig from temporalio.worker import Worker, WorkerDeploymentConfig from worker_versioning.activities import some_activity, some_incompatible_activity @@ -16,7 +17,9 @@ async def main() -> None: """Run worker v2.""" - client = await Client.connect("localhost:7233") + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config) # Create worker v2 worker = Worker(