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add blueprint example (#443)
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samples-v2/blueprint/.funcignore

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.git*
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.vscode
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__azurite_db*__.json
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__blobstorage__
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__queuestorage__
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local.settings.json
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test
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.venv

samples-v2/blueprint/.gitignore

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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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pip-wheel-metadata/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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.hypothesis/
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.pytest_cache/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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.python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don’t work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# celery beat schedule file
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celerybeat-schedule
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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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# Azure Functions artifacts
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bin
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obj
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appsettings.json
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local.settings.json
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# Azurite artifacts
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__blobstorage__
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__queuestorage__
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__azurite_db*__.json
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.python_packages
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import logging
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import azure.functions as func
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import azure.durable_functions as df
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# To learn more about blueprints in the Python prog model V2,
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# see: https://learn.microsoft.com/en-us/azure/azure-functions/functions-reference-python?tabs=asgi%2Capplication-level&pivots=python-mode-decorators#blueprints
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# Note, the `func` namespace does not contain Durable Functions triggers and bindings, so to register blueprints of
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# DF we need to use the `df` package's version of blueprints.
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bp = df.Blueprint()
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# We define a standard function-chaining DF pattern
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@bp.route(route="startOrchestrator")
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@bp.durable_client_input(client_name="client")
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async def start_orchestrator(req: func.HttpRequest, client):
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instance_id = await client.start_new("my_orchestrator")
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logging.info(f"Started orchestration with ID = '{instance_id}'.")
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return client.create_check_status_response(req, instance_id)
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@bp.orchestration_trigger(context_name="context")
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def my_orchestrator(context: df.DurableOrchestrationContext):
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result1 = yield context.call_activity('say_hello', "Tokyo")
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result2 = yield context.call_activity('say_hello', "Seattle")
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result3 = yield context.call_activity('say_hello', "London")
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return [result1, result2, result3]
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@bp.activity_trigger(input_name="city")
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def say_hello(city: str) -> str:
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return f"Hello {city}!"
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import azure.functions as func
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import logging
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from durable_blueprints import bp
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app = func.FunctionApp(http_auth_level=func.AuthLevel.FUNCTION)
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app.register_functions(bp) # register the DF functions
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# Define a simple HTTP trigger function, to show that you can also
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# register functions via the `app` object
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@app.route(route="HttpTrigger")
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def HttpTrigger(req: func.HttpRequest) -> func.HttpResponse:
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logging.info('Python HTTP trigger function processed a request.')
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name = req.params.get('name')
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if not name:
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try:
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req_body = req.get_json()
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except ValueError:
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pass
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else:
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name = req_body.get('name')
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if name:
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return func.HttpResponse(f"Hello, {name}. This HTTP triggered function executed successfully.")
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else:
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return func.HttpResponse(
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"This HTTP triggered function executed successfully. Pass a name in the query string or in the request body for a personalized response.",
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status_code=200
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)

samples-v2/blueprint/host.json

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{
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"version": "2.0",
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"logging": {
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"applicationInsights": {
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"samplingSettings": {
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"isEnabled": true,
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"excludedTypes": "Request"
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}
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}
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},
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"extensionBundle": {
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"id": "Microsoft.Azure.Functions.ExtensionBundle",
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"version": "[4.*, 5.0.0)"
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}
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}
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# DO NOT include azure-functions-worker in this file
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# The Python Worker is managed by Azure Functions platform
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# Manually managing azure-functions-worker may cause unexpected issues
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azure-functions
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azure-functions-durable>=1.2.4

samples-v2/fan_in_fan_out/extensions.csproj

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samples-v2/fan_in_fan_out/host.json

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"excludedTypes": "Request"
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}
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}
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},
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"extensionBundle": {
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"id": "Microsoft.Azure.Functions.ExtensionBundle",
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"version": "[4.*, 5.0.0)"
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}
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}

samples-v2/function_chaining/extensions.csproj

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samples-v2/function_chaining/function_app.py

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@myApp.route(route="orchestrators/{functionName}")
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@myApp.durable_client_input(client_name="client")
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async def HttpStart(req: func.HttpRequest, client):
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async def http_start(req: func.HttpRequest, client):
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function_name = req.route_params.get('functionName')
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instance_id = await client.start_new(function_name)
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logging.info(f"Started orchestration with ID = '{instance_id}'.")
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return client.create_check_status_response(req, instance_id)
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@myApp.orchestration_trigger(context_name="context")
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def E1_SayHello(context: df.DurableOrchestrationContext):
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def my_orchestrator(context: df.DurableOrchestrationContext):
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result1 = yield context.call_activity('say_hello', "Tokyo")
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result2 = yield context.call_activity('say_hello', "Seattle")
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result3 = yield context.call_activity('say_hello', "London")
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return [result1, result2, result3]
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@myApp.activity_trigger(input_name="city")
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def E1_SayHello(city: str) -> str:
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def say_hello(city: str) -> str:
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return f"Hello {city}!"

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