diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 721659d1..bfb1353e 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -21,6 +21,7 @@ jobs: runsOn: macos-14 runs-on: ${{ matrix.runsOn || matrix.os }} steps: + - uses: astral-sh/setup-uv@v5 - name: Print build information run: "echo head_ref: ${{ github.head_ref }}, ref: ${{ github.ref }}, os: ${{ matrix.os }}, python: ${{ matrix.python }}" - uses: actions/checkout@v4 @@ -29,10 +30,8 @@ jobs: - uses: actions/setup-python@v5 with: python-version: ${{ matrix.python }} - # Using fixed Poetry version until - # https://github.com/python-poetry/poetry/pull/7694 is fixed - - run: python -m pip install --upgrade wheel "poetry==1.4.0" poethepoet - - run: poetry install --with pydantic_converter --with dsl --with encryption --with trio_async + - run: uv tool install poethepoet + - run: uv sync --group=dsl --group=encryption --group=trio-async - run: poe lint - run: mkdir junit-xml - run: poe test -s --junit-xml=junit-xml/${{ matrix.python }}--${{ matrix.os }}.xml @@ -41,17 +40,17 @@ jobs: - name: Uninstall pydantic shell: bash run: | - echo y | poetry run pip uninstall pydantic - echo y | poetry run pip uninstall pydantic-core - poetry run pip install pydantic==1.10 + echo y | uv run pip uninstall pydantic + echo y | uv run pip uninstall pydantic-core + uv run pip install pydantic==1.10 poe test -s --junit-xml=junit-xml/${{ matrix.python }}--${{ matrix.os }}--pydantic-v1.xml tests/pydantic_converter_v1/workflow_test.py # On latest, run gevent test - name: Gevent test if: ${{ matrix.python == '3.12' }} run: | - poetry install --with gevent - poetry run python gevent_async/test/run_combined.py + uv sync --group gevent + uv run gevent_async/test/run_combined.py - name: Upload junit-xml artifacts uses: actions/upload-artifact@v4 diff --git a/README.md b/README.md index 50cadd0d..832e0d1f 100644 --- a/README.md +++ b/README.md @@ -1,23 +1,26 @@ # Temporal Python SDK Samples -This is the set of Python samples for the [Python SDK](https://github.com/temporalio/sdk-python). +This is a collection of samples showing how to use the [Python SDK](https://github.com/temporalio/sdk-python). ## Usage Prerequisites: -* Python >= 3.9 -* [Poetry](https://python-poetry.org) +* [uv](https://docs.astral.sh/uv/) * [Temporal CLI installed](https://docs.temporal.io/cli#install) * [Local Temporal server running](https://docs.temporal.io/cli/server#start-dev) +The SDK requires Python >= 3.9. You can install Python using uv. For example, + + uv python install 3.13 + With this repository cloned, run the following at the root of the directory: - poetry install + uv sync -That loads all required dependencies. Then to run a sample, usually you just run it in Python. For example: +That loads all required dependencies. Then to run a sample, usually you just run it under uv. For example: - poetry run python hello/hello_activity.py + uv run hello/hello_activity.py Some examples require extra dependencies. See each sample's directory for specific instructions. @@ -81,7 +84,7 @@ Some examples require extra dependencies. See each sample's directory for specif Running the tests requires `poe` to be installed. - python -m pip install poethepoet + uv tool install poethepoet Once you have `poe` installed you can run: diff --git a/activity_worker/README.md b/activity_worker/README.md index 8b821281..0d904313 100644 --- a/activity_worker/README.md +++ b/activity_worker/README.md @@ -8,6 +8,6 @@ First run the Go workflow worker by running this in the `go_workflow` directory Then in another terminal, run the sample from this directory: - poetry run python activity_worker.py + uv run activity_worker.py The Python code will invoke the Go workflow which will execute the Python activity and return. \ No newline at end of file diff --git a/bedrock/README.md b/bedrock/README.md index b91fa5e5..42a1f4d5 100644 --- a/bedrock/README.md +++ b/bedrock/README.md @@ -20,6 +20,6 @@ These examples use Amazon's Python SDK (Boto3). To configure Boto3 to use your A For these sample, the optional `bedrock` dependency group must be included. To include, run: - poetry install --with bedrock + uv sync --group bedrock There are 3 Bedrock samples, see the README.md in each sub-directory for instructions on running each. \ No newline at end of file diff --git a/bedrock/basic/README.md b/bedrock/basic/README.md index 22a40cdd..88cae861 100644 --- a/bedrock/basic/README.md +++ b/bedrock/basic/README.md @@ -4,7 +4,7 @@ A basic Bedrock workflow. Starts a workflow with a prompt, generates a response To run, first see `samples-python` [README.md](../../README.md), and `bedrock` [README.md](../README.md) for prerequisites specific to this sample. Once set up, run the following from this directory: -1. Run the worker: `poetry run python run_worker.py` +1. Run the worker: `uv run run_worker.py` 2. In another terminal run the client with a prompt: - e.g. `poetry run python send_message.py 'What animals are marsupials?'` \ No newline at end of file + e.g. `uv run send_message.py 'What animals are marsupials?'` \ No newline at end of file diff --git a/bedrock/entity/README.md b/bedrock/entity/README.md index e6104945..5f53840d 100644 --- a/bedrock/entity/README.md +++ b/bedrock/entity/README.md @@ -4,16 +4,16 @@ Multi-Turn Chat using an Entity Workflow. The workflow runs forever unless expli To run, first see `samples-python` [README.md](../../README.md), and `bedrock` [README.md](../README.md) for prerequisites specific to this sample. Once set up, run the following from this directory: -1. Run the worker: `poetry run python run_worker.py` +1. Run the worker: `uv run run_worker.py` 2. In another terminal run the client with a prompt. - Example: `poetry run python send_message.py 'What animals are marsupials?'` + Example: `uv run send_message.py 'What animals are marsupials?'` 3. View the worker's output for the response. 4. Give followup prompts by signaling the workflow. - Example: `poetry run python send_message.py 'Do they lay eggs?'` + Example: `uv run send_message.py 'Do they lay eggs?'` 5. Get the conversation history summary by querying the workflow. - Example: `poetry run python get_history.py` -6. To end the chat session, run `poetry run python end_chat.py` + Example: `uv run get_history.py` +6. To end the chat session, run `uv run end_chat.py` diff --git a/bedrock/signals_and_queries/README.md b/bedrock/signals_and_queries/README.md index 877dedc0..edbca795 100644 --- a/bedrock/signals_and_queries/README.md +++ b/bedrock/signals_and_queries/README.md @@ -4,16 +4,16 @@ Adding signals & queries to the [basic Bedrock sample](../1_basic). Starts a wor To run, first see `samples-python` [README.md](../../README.md), and `bedrock` [README.md](../README.md) for prerequisites specific to this sample. Once set up, run the following from this directory: -1. Run the worker: `poetry run python run_worker.py` +1. Run the worker: `uv run run_worker.py` 2. In another terminal run the client with a prompt. - Example: `poetry run python send_message.py 'What animals are marsupials?'` + Example: `uv run send_message.py 'What animals are marsupials?'` 3. View the worker's output for the response. 4. Give followup prompts by signaling the workflow. - Example: `poetry run python send_message.py 'Do they lay eggs?'` + Example: `uv run send_message.py 'Do they lay eggs?'` 5. Get the conversation history by querying the workflow. - Example: `poetry run python get_history.py` + Example: `uv run get_history.py` 6. The workflow will timeout after inactivity. diff --git a/cloud_export_to_parquet/README.md b/cloud_export_to_parquet/README.md index 873e69b9..fe6b3db9 100644 --- a/cloud_export_to_parquet/README.md +++ b/cloud_export_to_parquet/README.md @@ -4,20 +4,20 @@ This is an example workflow to convert exported file from proto to parquet file. Please make sure your python is 3.9 above. For this sample, run: - poetry install --with cloud_export_to_parquet + uv sync --group=cloud-export-to-parquet Before you start, please modify workflow input in `create_schedule.py` with your s3 bucket and namespace. Also make sure you've the right AWS permission set up in your environment to allow this workflow read and write to your s3 bucket. To run, first see [README.md](../README.md) for prerequisites. Then, run the following from this directory to start the worker: ```bash -poetry run python run_worker.py +uv run run_worker.py ``` This will start the worker. Then, in another terminal, run the following to execute the schedule: ```bash -poetry run python create_schedule.py +uv run create_schedule.py ``` The workflow should convert exported file in your input s3 bucket to parquet in your specified location. diff --git a/context_propagation/README.md b/context_propagation/README.md index bbf47ac0..e1027292 100644 --- a/context_propagation/README.md +++ b/context_propagation/README.md @@ -6,11 +6,11 @@ this example, [contextvars](https://docs.python.org/3/library/contextvars.html) To run, first see [README.md](../README.md) for prerequisites. Then, run the following from this directory to start the worker: - poetry run python worker.py + uv run worker.py This will start the worker. Then, in another terminal, run the following to execute the workflow: - poetry run python starter.py + uv run starter.py The starter terminal should complete with the hello result and the worker terminal should show the logs with the propagated user ID contextual information flowing through the workflows/activities. \ No newline at end of file diff --git a/custom_converter/README.md b/custom_converter/README.md index d4c9f588..8e82e483 100644 --- a/custom_converter/README.md +++ b/custom_converter/README.md @@ -5,11 +5,11 @@ This sample shows how to make a custom payload converter for a type not natively To run, first see [README.md](../README.md) for prerequisites. Then, run the following from this directory to start the worker: - poetry run python worker.py + uv run worker.py This will start the worker. Then, in another terminal, run the following to execute the workflow: - poetry run python starter.py + uv run starter.py The workflow should complete with the hello result. If the custom converter was not set for the custom input and output classes, we would get an error on the client side and on the worker side. \ No newline at end of file diff --git a/custom_decorator/README.md b/custom_decorator/README.md index 65f59482..cfc59111 100644 --- a/custom_decorator/README.md +++ b/custom_decorator/README.md @@ -6,11 +6,11 @@ decorator that automatically configures an activity to heartbeat twice as freque To run, first see [README.md](../README.md) for prerequisites. Then, run the following from this directory to start the worker: - poetry run python worker.py + uv run worker.py This will start the worker. Then, in another terminal, run the following to execute the workflow: - poetry run python starter.py + uv run starter.py The workflow will be started, and then after 5 seconds will be sent a signal to cancel its forever-running activity. The activity has a heartbeat timeout set to 2s, so since it has the `@auto_heartbeater` decorator set, it will heartbeat diff --git a/dsl/README.md b/dsl/README.md index 4000b3a3..d5051132 100644 --- a/dsl/README.md +++ b/dsl/README.md @@ -6,24 +6,24 @@ samples [in TypeScript](https://github.com/temporalio/samples-typescript/tree/ma For this sample, the optional `dsl` dependency group must be included. To include, run: - poetry install --with dsl + uv sync --group dsl To run, first see [README.md](../README.md) for prerequisites. Then, run the following from this directory to start the worker: - poetry run python worker.py + uv run worker.py This will start the worker. Then, in another terminal, run the following to execute a workflow of steps defined in [workflow1.yaml](workflow1.yaml): - poetry run python starter.py workflow1.yaml + uv run starter.py workflow1.yaml This will run the workflow and show the final variables that the workflow returns. Looking in the worker terminal, each step executed will be visible. Similarly we can do the same for the more advanced [workflow2.yaml](workflow2.yaml) file: - poetry run python starter.py workflow2.yaml + uv run starter.py workflow2.yaml This sample gives a guide of how one can write a workflow to interpret arbitrary steps from a user-provided DSL. Many DSL models are more advanced and are more specific to conform to business logic needs. \ No newline at end of file diff --git a/encryption/README.md b/encryption/README.md index 6c8e9924..09828793 100644 --- a/encryption/README.md +++ b/encryption/README.md @@ -7,16 +7,16 @@ samples [in TypeScript](https://github.com/temporalio/samples-typescript/tree/ma For this sample, the optional `encryption` dependency group must be included. To include, run: - poetry install --with encryption + uv sync --group encryption To run, first see [README.md](../README.md) for prerequisites. Then, run the following from this directory to start the worker: - poetry run python worker.py + uv run worker.py This will start the worker. Then, in another terminal, run the following to execute the workflow: - poetry run python starter.py + uv run starter.py The workflow should complete with the hello result. To view the workflow, use [temporal](https://docs.temporal.io/cli): @@ -31,7 +31,7 @@ Note how the result looks like (with wrapping removed): This is because the data is encrypted and not visible. To make data visible to external Temporal tools like `temporal` and the UI, start a codec server in another terminal: - poetry run python codec_server.py + uv run codec_server.py Now with that running, run `temporal` again with the codec endpoint: diff --git a/gevent_async/README.md b/gevent_async/README.md index 9b9bdff3..d1d9f048 100644 --- a/gevent_async/README.md +++ b/gevent_async/README.md @@ -12,17 +12,17 @@ workflows. For this sample, the optional `gevent` dependency group must be included. To include, run: - poetry install --with gevent + uv sync --group gevent To run the sample, first see [README.md](../README.md) for prerequisites such as having a localhost Temporal server running. Then, run the following from this directory to start the worker: - poetry run python worker.py + uv run worker.py This will start the worker. The worker has a workflow and two activities, one `asyncio` based and one gevent based. Now in another terminal, run the following from this directory to execute the workflow: - poetry run python starter.py + uv run starter.py The workflow should run and complete with the hello result. Note on the worker terminal there will be logs of the workflow and activity executions. \ No newline at end of file diff --git a/hello/README.md b/hello/README.md index 9e13f544..45d24768 100644 --- a/hello/README.md +++ b/hello/README.md @@ -5,7 +5,7 @@ These samples show basic workflow and activity features. To run, first see [README.md](../README.md) for prerequisites. Then, run the following from this directory to run the `hello_activity.py` sample: - poetry run python hello_activity.py + uv run hello_activity.py The result will be: diff --git a/langchain/README.md b/langchain/README.md index 5204bbb3..264eba28 100644 --- a/langchain/README.md +++ b/langchain/README.md @@ -4,7 +4,7 @@ This sample shows you how you can use Temporal to orchestrate workflows for [Lan For this sample, the optional `langchain` dependency group must be included. To include, run: - poetry install --with langchain + 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. @@ -13,11 +13,11 @@ Export your [OpenAI API key](https://platform.openai.com/api-keys) as an environ To run, first see [README.md](../README.md) for prerequisites. Then, run the following from this directory to start the worker: - poetry run python worker.py + uv run worker.py This will start the worker. Then, in another terminal, run the following to execute a workflow: - poetry run python starter.py + uv run starter.py Then, in another terminal, run the following command to translate a phrase: diff --git a/langchain/activities.py b/langchain/activities.py index 47b528d5..4425b969 100644 --- a/langchain/activities.py +++ b/langchain/activities.py @@ -26,4 +26,6 @@ async def translate_phrase(params: TranslateParams) -> dict: ) chain = chat_prompt | ChatOpenAI() # Use the asynchronous invoke method - return await chain.ainvoke({"phrase": params.phrase, "language": params.language}) + return dict( + await chain.ainvoke({"phrase": params.phrase, "language": params.language}) + ) diff --git a/message_passing/introduction/README.md b/message_passing/introduction/README.md index 0b8be53b..7a2bd351 100644 --- a/message_passing/introduction/README.md +++ b/message_passing/introduction/README.md @@ -10,9 +10,9 @@ Then create two terminals and `cd` to this directory. Run the worker in one terminal: - poetry run python worker.py + uv run worker.py And execute the workflow in the other terminal: - poetry run python starter.py + uv run starter.py diff --git a/message_passing/safe_message_handlers/README.md b/message_passing/safe_message_handlers/README.md index 274d9cdc..069d6bca 100644 --- a/message_passing/safe_message_handlers/README.md +++ b/message_passing/safe_message_handlers/README.md @@ -12,10 +12,10 @@ To run, first see [README.md](../../README.md) for prerequisites. Then, run the following from this directory to run the worker: \ - poetry run python worker.py + uv run worker.py Then, in another terminal, run the following to execute the workflow: - poetry run python starter.py + uv run starter.py This will start a worker to run your workflow and activities, then start a ClusterManagerWorkflow and put it through its paces. diff --git a/message_passing/update_with_start/lazy_initialization/README.md b/message_passing/update_with_start/lazy_initialization/README.md index b9f6679a..0dbe1844 100644 --- a/message_passing/update_with_start/lazy_initialization/README.md +++ b/message_passing/update_with_start/lazy_initialization/README.md @@ -8,11 +8,11 @@ To run, first see the main [README.md](../../../README.md) for prerequisites. Then run the following from this directory: - poetry run python worker.py + uv run worker.py Then, in another terminal: - poetry run python starter.py + uv run starter.py This will start a worker to run your workflow and activities, then simulate a backend application receiving requests to add items to a shopping cart, before finalizing the order. diff --git a/message_passing/waiting_for_handlers/README.md b/message_passing/waiting_for_handlers/README.md index 27fa5d7d..238c1fb8 100644 --- a/message_passing/waiting_for_handlers/README.md +++ b/message_passing/waiting_for_handlers/README.md @@ -16,11 +16,11 @@ To run, open two terminals and `cd` to this directory in them. Run the worker in one terminal: - poetry run python worker.py + uv run worker.py And run the workflow-starter code in the other terminal: - poetry run python starter.py + uv run starter.py Here's the output you'll see: diff --git a/message_passing/waiting_for_handlers_and_compensation/README.md b/message_passing/waiting_for_handlers_and_compensation/README.md index 47df3b63..2ef5fe1f 100644 --- a/message_passing/waiting_for_handlers_and_compensation/README.md +++ b/message_passing/waiting_for_handlers_and_compensation/README.md @@ -13,11 +13,11 @@ To run, open two terminals and `cd` to this directory in them. Run the worker in one terminal: - poetry run python worker.py + uv run worker.py And run the workflow-starter code in the other terminal: - poetry run python starter.py + uv run starter.py Here's the output you'll see: diff --git a/open_telemetry/README.md b/open_telemetry/README.md index c0b18a17..06df7326 100644 --- a/open_telemetry/README.md +++ b/open_telemetry/README.md @@ -4,7 +4,7 @@ This sample shows how to configure OpenTelemetry to capture workflow traces and For this sample, the optional `open_telemetry` dependency group must be included. To include, run: - poetry install --with open_telemetry + uv sync --group open-telemetry To run, first see [README.md](../README.md) for prerequisites. Then run the following to start an [Aspire](https://hub.docker.com/r/microsoft/dotnet-aspire-dashboard/) OTEL collector @@ -12,11 +12,11 @@ To run, first see [README.md](../README.md) for prerequisites. Then run the foll Now, from this directory, start the worker in its own terminal: - poetry run python worker.py + uv run worker.py Then, in another terminal, run the following to execute the workflow: - poetry run python starter.py + uv run starter.py The workflow should complete with the hello result. diff --git a/patching/README.md b/patching/README.md index 61106f31..ac7c55c2 100644 --- a/patching/README.md +++ b/patching/README.md @@ -8,15 +8,15 @@ To run, first see [README.md](../README.md) for prerequisites. Then follow the p This stage is for existing running workflows. To simulate our initial workflow, run the worker in a separate terminal: - poetry run python worker.py --workflow initial + uv run worker.py --workflow initial Now we can start this workflow: - poetry run python starter.py --start-workflow initial-workflow-id + uv run starter.py --start-workflow initial-workflow-id This will output "Started workflow with ID initial-workflow-id and ...". Now query this workflow: - poetry run python starter.py --query-workflow initial-workflow-id + uv run starter.py --query-workflow initial-workflow-id This will output "Query result for ID initial-workflow-id: pre-patch". @@ -25,21 +25,21 @@ This will output "Query result for ID initial-workflow-id: pre-patch". This stage is for needing to run old and new workflows at the same time. To simulate our patched workflow, stop the worker from before and start it again with the patched workflow: - poetry run python worker.py --workflow patched + uv run worker.py --workflow patched Now let's start another workflow with this patched code: - poetry run python starter.py --start-workflow patched-workflow-id + uv run starter.py --start-workflow patched-workflow-id This will output "Started workflow with ID patched-workflow-id and ...". Now query the old workflow that's still running: - poetry run python starter.py --query-workflow initial-workflow-id + uv run starter.py --query-workflow initial-workflow-id This will output "Query result for ID initial-workflow-id: pre-patch" since it is pre-patch. But if we execute a query against the new code: - poetry run python starter.py --query-workflow patched-workflow-id + uv run starter.py --query-workflow patched-workflow-id We get "Query result for ID patched-workflow-id: post-patch". This is how old workflow code can take old paths and new workflow code can take new paths. @@ -50,22 +50,22 @@ Once we know that all workflows that started with the initial code from "Stage 1 the patch so we can deprecate it. To use the patch deprecated workflow, stop the workflow from before and start it again with: - poetry run python worker.py --workflow patch-deprecated + uv run worker.py --workflow patch-deprecated All workflows in "Stage 2" and any new workflows will work. Now let's start another workflow with this patch deprecated code: - poetry run python starter.py --start-workflow patch-deprecated-workflow-id + uv run starter.py --start-workflow patch-deprecated-workflow-id This will output "Started workflow with ID patch-deprecated-workflow-id and ...". Now query the patched workflow that's still running: - poetry run python starter.py --query-workflow patched-workflow-id + uv run starter.py --query-workflow patched-workflow-id This will output "Query result for ID patched-workflow-id: post-patch". And if we execute a query against the latest workflow: - poetry run python starter.py --query-workflow patch-deprecated-workflow-id + uv run starter.py --query-workflow patch-deprecated-workflow-id As expected, this will output "Query result for ID patch-deprecated-workflow-id: post-patch". @@ -75,22 +75,22 @@ Once we know we don't even have any workflows running on "Stage 2" or before (i. both code paths), we can just remove the patch deprecation altogether. To use the patch complete workflow, stop the workflow from before and start it again with: - poetry run python worker.py --workflow patch-complete + uv run worker.py --workflow patch-complete All workflows in "Stage 3" and any new workflows will work. Now let's start another workflow with this patch complete code: - poetry run python starter.py --start-workflow patch-complete-workflow-id + uv run starter.py --start-workflow patch-complete-workflow-id This will output "Started workflow with ID patch-complete-workflow-id and ...". Now query the patch deprecated workflow that's still running: - poetry run python starter.py --query-workflow patch-deprecated-workflow-id + uv run starter.py --query-workflow patch-deprecated-workflow-id This will output "Query result for ID patch-deprecated-workflow-id: post-patch". And if we execute a query against the latest workflow: - poetry run python starter.py --query-workflow patch-complete-workflow-id + uv run starter.py --query-workflow patch-complete-workflow-id As expected, this will output "Query result for ID patch-complete-workflow-id: post-patch". diff --git a/poetry.lock b/poetry.lock deleted file mode 100644 index 9313a7b9..00000000 --- a/poetry.lock +++ /dev/null @@ -1,3608 +0,0 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. - -[[package]] -name = "aiohappyeyeballs" -version = "2.4.6" -description = "Happy Eyeballs for asyncio" -optional = false -python-versions = ">=3.9" -files = [ - {file = "aiohappyeyeballs-2.4.6-py3-none-any.whl", hash = "sha256:147ec992cf873d74f5062644332c539fcd42956dc69453fe5204195e560517e1"}, - {file = "aiohappyeyeballs-2.4.6.tar.gz", hash = "sha256:9b05052f9042985d32ecbe4b59a77ae19c006a78f1344d7fdad69d28ded3d0b0"}, -] - -[[package]] -name = "aiohttp" -version = "3.11.12" -description = "Async http client/server framework (asyncio)" -optional = false -python-versions = ">=3.9" -files = [ - 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Then, run the following from this directory to run the sample: - poetry run python run_worker.py + uv run run_worker.py Then, in another terminal, run the following to execute the workflow: - poetry run python run_frequent.py + uv run run_frequent.py The Workflow will continue to poll the service and heartbeat on every iteration until it succeeds. diff --git a/polling/infrequent/README.md b/polling/infrequent/README.md index c1b06d7f..b6afeb56 100644 --- a/polling/infrequent/README.md +++ b/polling/infrequent/README.md @@ -13,11 +13,11 @@ To run, first see [README.md](../../README.md) for prerequisites. Then, run the following from this directory to run the sample: - poetry run python run_worker.py + uv run run_worker.py Then, in another terminal, run the following to execute the workflow: - poetry run python run_infrequent.py + uv run run_infrequent.py Since the test service simulates being _down_ for four polling attempts and then returns _OK_ on the fifth poll attempt, the Workflow will perform four Activity retries with a 60-second poll interval, and then return the service result on the successful fifth attempt. diff --git a/polling/periodic_sequence/README.md b/polling/periodic_sequence/README.md index f8416588..d632862d 100644 --- a/polling/periodic_sequence/README.md +++ b/polling/periodic_sequence/README.md @@ -8,11 +8,11 @@ To run, first see [README.md](../../README.md) for prerequisites. Then, run the following from this directory to run the sample: - poetry run python run_worker.py + uv run run_worker.py Then, in another terminal, run the following to execute the workflow: - poetry run python run_periodic.py + uv run run_periodic.py This will start a Workflow and Child Workflow to periodically poll an Activity. diff --git a/prometheus/README.md b/prometheus/README.md index 6f605d62..091d5171 100644 --- a/prometheus/README.md +++ b/prometheus/README.md @@ -5,13 +5,13 @@ This sample shows how to have SDK Prometheus metrics made available via HTTP. To run, first see [README.md](../README.md) for prerequisites. Then, run the following from this directory to start the worker: - poetry run python worker.py + uv run worker.py This will start the worker and the metrics will be visible for this process at http://127.0.0.1:9000/metrics. Then, in another terminal, run the following to execute a workflow: - poetry run python starter.py + uv run starter.py After executing the workflow, the process will stay open so the metrics if this separate process can be accessed at http://127.0.0.1:9001/metrics. \ No newline at end of file diff --git a/pydantic_converter/README.md b/pydantic_converter/README.md index e621e6a9..bdbf0329 100644 --- a/pydantic_converter/README.md +++ b/pydantic_converter/README.md @@ -4,16 +4,16 @@ This sample shows how to use the Pydantic data converter. For this sample, the optional `pydantic_converter` dependency group must be included. To include, run: - poetry install --with pydantic_converter + uv sync --group pydantic-converter To run, first see [README.md](../README.md) for prerequisites. Then, run the following from this directory to start the worker: - poetry run python worker.py + uv run worker.py This will start the worker. Then, in another terminal, run the following to execute the workflow: - poetry run python starter.py + uv run starter.py In the worker terminal, the workflow and its activity will log that it received the Pydantic models. In the starter terminal, the Pydantic models in the workflow result will be logged. diff --git a/pydantic_converter_v1/README.md b/pydantic_converter_v1/README.md index ab7e8212..a38b00fc 100644 --- a/pydantic_converter_v1/README.md +++ b/pydantic_converter_v1/README.md @@ -5,18 +5,18 @@ main [pydantic_converter](../pydantic_converter/README.md) sample.** To install, run: - poetry install --with pydantic_converter - poetry run pip uninstall pydantic pydantic-core - poetry run pip install pydantic==1.10 + uv sync --group pydantic-converter + uv run pip uninstall pydantic pydantic-core + uv run pip install pydantic==1.10 To run, first see the root [README.md](../README.md) for prerequisites. Then, run the following from this directory to start the worker: - poetry run python worker.py + uv run worker.py This will start the worker. Then, in another terminal, run the following to execute the workflow: - poetry run python starter.py + uv run starter.py In the worker terminal, the workflow and its activity will log that it received the Pydantic models. In the starter terminal, the Pydantic models in the workflow result will be logged. diff --git a/pyproject.toml b/pyproject.toml index d7cbab09..5fd96a81 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,91 +1,127 @@ -[tool.poetry] +[project] name = "temporalio-samples" version = "0.1a1" description = "Temporal.io Python SDK samples" -license = "MIT" -authors = ["Temporal Technologies Inc "] +authors = [{ name = "Temporal Technologies Inc", email = "sdk@temporal.io" }] +requires-python = "~=3.9" readme = "README.md" -homepage = "https://github.com/temporalio/samples-python" -repository = "https://github.com/temporalio/samples-python" -documentation = "https://docs.temporal.io/docs/python" -packages = [ - { include = "**/*.py", from = "." } -] +license = "MIT" +dependencies = ["temporalio>=1.10.0,<2"] -[tool.poetry.urls] +[project.urls] +Homepage = "https://github.com/temporalio/samples-python" +Repository = "https://github.com/temporalio/samples-python" +Documentation = "https://docs.temporal.io/docs/python" "Bug Tracker" = "https://github.com/temporalio/samples-python/issues" -[tool.poetry.dependencies] -python = "^3.9" -temporalio = "^1.10.0" - -[tool.poetry.dev-dependencies] -black = "^22.3.0" -isort = "^5.10.1" -mypy = "^1.4.1" -pytest = "^7.1.2" -pytest-asyncio = "^0.18.3" -frozenlist = "^1.4.0" -types-pyyaml = "^6.0.12.20241230" - - -# All sample-specific dependencies are in optional groups below, named after the -# sample they apply to - -[tool.poetry.group.bedrock] -optional = true -[tool.poetry.group.bedrock.dependencies] -boto3 = "^1.34.92" - -[tool.poetry.group.dsl] -optional = true -dependencies = { pyyaml = "^6.0.1", types-pyyaml = "^6.0.12", dacite = "^1.8.1" } - -[tool.poetry.group.encryption] -optional = true -dependencies = { cryptography = "^38.0.1", aiohttp = "^3.8.1" } - -[tool.poetry.group.gevent] -optional = true -dependencies = { gevent = { version = "^23.9.1", python = ">=3.8" } } +[dependency-groups] +dev = [ + "black>=22.3.0,<23", + "isort>=5.10.1,<6", + "mypy>=1.4.1,<2", + "pytest>=7.1.2,<8", + "pytest-asyncio>=0.18.3,<0.19", + "frozenlist>=1.4.0,<2", + "types-pyyaml>=6.0.12.20241230,<7", +] +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>=23.9.1,<24 ; 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'", + "openai>=1.4.0,<2", + "fastapi>=0.105.0,<0.106", + "tqdm>=4.62.0,<5", + "uvicorn[standard]>=0.24.0.post1,<0.25", +] +open-telemetry = [ + "temporalio[opentelemetry]", + "opentelemetry-exporter-otlp-proto-grpc==1.18.0", +] +pydantic-converter = ["pydantic>=2.10.6,<3"] +sentry = ["sentry-sdk>=1.11.0,<2"] +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 >= '3.9' and python_version < '4.0'", + "numpy>=1.26.0,<2 ; python_version >= '3.9' and python_version < '3.13'", + "boto3>=1.34.89,<2", + "pyarrow>=19.0.1", +] -[tool.poetry.group.langchain] -optional = true -[tool.poetry.group.langchain.dependencies] -langchain = {version = "^0.1.7", python = ">=3.8.1,<4.0"} -langchain-openai = {version = "^0.0.6", python = ">=3.8.1,<4.0"} -openai = "^1.4.0" -fastapi = "^0.105.0" -tqdm = "^4.62.0" -uvicorn = { version = "^0.24.0.post1", extras = ["standard"]} +[tool.uv] +default-groups = [ + "dev", + "bedrock", + "dsl", + "encryption", + "gevent", + "langchain", + "open-telemetry", + "pydantic-converter", + "sentry", + "trio-async", +] -[tool.poetry.group.open_telemetry] -optional = true -[tool.poetry.group.open_telemetry.dependencies] -temporalio = { version = "*", extras = ["opentelemetry"] } -opentelemetry-exporter-otlp-proto-grpc = "1.18.0" +[tool.hatch.build.targets.sdist] +include = ["./**/*.py"] -[tool.poetry.group.pydantic_converter] -optional = true -dependencies = { pydantic = "^2.10.6" } +[tool.hatch.build.targets.wheel] +include = ["./**/*.py"] +packages = [ + "activity_worker", + "bedrock", + "cloud_export_to_parquet", + "context_propagation", + "custom_converter", + "custom_decorator", + "dsl", + "encryption", + "gevent_async", + "hello", + "langchain", + "message_passing", + "open_telemetry", + "patching", + "polling", + "prometheus", + "pydantic_converter", + "pydantic_converter_v1", + "pyproject.toml", + "replay", + "schedules", + "sentry", + "sleep_for_days", + "tests", + "trio_async", + "updatable_timer", + "worker_specific_task_queues", + "worker_versioning", +] -[tool.poetry.group.sentry] -optional = true -dependencies = { sentry-sdk = "^1.11.0" } +[tool.hatch.build.targets.wheel.sources] +"./**/*.py" = "**/*.py" -[tool.poetry.group.trio_async] -optional = true -dependencies = { trio = "^0.28.0", trio-asyncio = "^0.15.0" } +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" [tool.poe.tasks] -format = [{cmd = "black ."}, {cmd = "isort ."}] -lint = [{cmd = "black --check ."}, {cmd = "isort --check-only ."}, {ref = "lint-types" }] -lint-types = "mypy --check-untyped-defs --namespace-packages ." -test = "pytest" - -[build-system] -requires = ["poetry-core>=1.0.0"] -build-backend = "poetry.core.masonry.api" +format = [{cmd = "uv run black ."}, {cmd = "uv run isort ."}] +lint = [{cmd = "uv run black --check ."}, {cmd = "uv run isort --check-only ."}, {ref = "lint-types" }] +lint-types = "uv run mypy --check-untyped-defs --namespace-packages ." +test = "uv run pytest" [tool.pytest.ini_options] asyncio_mode = "auto" @@ -109,11 +145,3 @@ ignore_errors = true module = "opentelemetry.*" ignore_errors = true -[tool.poetry.group.cloud_export_to_parquet] -optional = true -[tool.poetry.group.cloud_export_to_parquet.dependencies] -pandas = {version = "^2.2.2",python = ">=3.9,<4.0"} -numpy = {version = "^1.26.0",python = ">=3.9,<3.13"} -pyarrow = "^16.0.0" -boto3 = "^1.34.89" - diff --git a/replay/README.md b/replay/README.md index 3a67868a..4b220f9d 100644 --- a/replay/README.md +++ b/replay/README.md @@ -6,15 +6,15 @@ workflow histories. To run, first see [README.md](../README.md) for prerequisites. Then, run the following from this directory to start the worker: - poetry run python worker.py + uv run worker.py This will start the worker. Then, in another terminal, run the following to execute a workflow: - poetry run python starter.py + uv run starter.py Next, run the replayer: - poetry run python replayer.py + uv run replayer.py Which should produce some output like: diff --git a/schedules/README.md b/schedules/README.md index 9bf40ca0..8327d769 100644 --- a/schedules/README.md +++ b/schedules/README.md @@ -4,18 +4,18 @@ These samples show how to schedule a Workflow Execution and control certain acti To run, first see [README.md](../README.md) for prerequisites. Then, run the following from this directory to run the `schedules/` sample: - poetry run python run_worker.py - poetry run python start_schedule.py + uv run run_worker.py + uv run start_schedule.py Replace `start_schedule.py` in the command with any other example filename to run it instead. - poetry run python backfill_schedule.py - poetry run python delete_schedule.py - poetry run python describe_schedule.py - poetry run python list_schedule.py - poetry run python pause_schedule.py + uv run backfill_schedule.py + uv run delete_schedule.py + uv run describe_schedule.py + uv run list_schedule.py + uv run pause_schedule.py python run python trigger_schedule.py - poetry run python update_schedule.py + uv run update_schedule.py - create: Creates a new Schedule. Newly created Schedules return a Schedule ID to be used in other Schedule commands. - backfill: Backfills the Schedule by going through the specified time periods as if they passed right now. diff --git a/sentry/README.md b/sentry/README.md index 45977731..30667d5e 100644 --- a/sentry/README.md +++ b/sentry/README.md @@ -4,16 +4,16 @@ This sample shows how to configure [Sentry](https://sentry.io) to intercept and For this sample, the optional `sentry` dependency group must be included. To include, run: - poetry install --with sentry + uv sync --group sentry To run, first see [README.md](../README.md) for prerequisites. Set `SENTRY_DSN` environment variable to the Sentry DSN. Then, run the following from this directory to start the worker: - poetry run python worker.py + uv run worker.py This will start the worker. Then, in another terminal, run the following to execute the workflow: - poetry run python starter.py + uv run starter.py The workflow should complete with the hello result. If you alter the workflow or the activity to raise an `ApplicationError` instead, it should appear in Sentry. \ No newline at end of file diff --git a/sleep_for_days/README.md b/sleep_for_days/README.md index 4ae1d2dc..766aefc9 100644 --- a/sleep_for_days/README.md +++ b/sleep_for_days/README.md @@ -8,11 +8,11 @@ Then create two terminals and `cd` to this directory. Run the worker in one terminal: - poetry run python worker.py + uv run worker.py And execute the workflow in the other terminal: - poetry run python starter.py + uv run starter.py This sample will run indefinitely until you send a signal to `complete`. See how to send a signal via Temporal CLI [here](https://docs.temporal.io/cli/workflow#signal). diff --git a/trio_async/README.md b/trio_async/README.md index 01bc2870..01891215 100644 --- a/trio_async/README.md +++ b/trio_async/README.md @@ -7,16 +7,16 @@ activities. For this sample, the optional `trio_async` dependency group must be included. To include, run: - poetry install --with trio_async + uv sync --group trio_async To run, first see [README.md](../README.md) for prerequisites. Then, run the following from this directory to start the worker: - poetry run python worker.py + uv run worker.py This will start the worker. Then, in another terminal, run the following to execute the workflow: - poetry run python starter.py + uv run starter.py The starter should complete with: diff --git a/updatable_timer/README.md b/updatable_timer/README.md index 477b36c0..04960265 100644 --- a/updatable_timer/README.md +++ b/updatable_timer/README.md @@ -11,7 +11,7 @@ The sample is composed of the three executables: First start the Worker: ```bash -poetry run python worker.py +uv run worker.py ``` Check the output of the Worker window. The expected output is: @@ -22,7 +22,7 @@ Worker started, ctrl+c to exit Then in a different terminal window start the Workflow Execution: ```bash -poetry run python starter.py +uv run starter.py ``` Check the output of the Worker window. The expected output is: ``` @@ -32,7 +32,7 @@ Workflow started: run_id=... Then run the updater as many times as you want to change timer to 10 seconds from now: ```bash -poetry run python wake_up_time_updater.py +uv run wake_up_time_updater.py ``` Check the output of the worker window. 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b/worker_specific_task_queues/README.md index 8e8e577a..01f72890 100644 --- a/worker_specific_task_queues/README.md +++ b/worker_specific_task_queues/README.md @@ -24,16 +24,16 @@ Activities have been artificially slowed with `time.sleep(3)` to simulate doing To run, first see [README.md](../README.md) for prerequisites. Then, run the following from this directory to start the worker: - poetry run python worker.py + uv run worker.py This will start the worker. Then, in another terminal, run the following to execute the workflow: - poetry run python starter.py + uv run starter.py #### Example output: ```bash -(temporalio-samples-py3.10) user@machine:~/samples-python/activities_sticky_queues$ poetry run python starter.py +(temporalio-samples-py3.10) user@machine:~/samples-python/activities_sticky_queues$ uv run starter.py Output checksums: 49d7419e6cba3575b3158f62d053f922aa08b23c64f05411cda3213b56c84ba4 49d7419e6cba3575b3158f62d053f922aa08b23c64f05411cda3213b56c84ba4 diff --git a/worker_versioning/README.md b/worker_versioning/README.md index 04f958bf..21af863f 100644 --- a/worker_versioning/README.md +++ b/worker_versioning/README.md @@ -5,7 +5,7 @@ feature to deploy incompatible changes to workflow code more easily. To run, first see [README.md](../README.md) for prerequisites. Then, run the following from this directory: - poetry run python example.py + uv run example.py This will add some Build IDs to a Task Queue, and will also run Workers with those versions to show how you can mark add versions, mark them as compatible (or not) with one another, and run Workers at specific versions. You'll