Merge dev to main for 1.2.5 release (#448)

azure/durable_functions/models/DurableOrchestrationContext.py

@@ -683,7 +683,7 @@ def _get_function_name(self, name: FunctionBuilder,
                 name = name._function._name
                 return name
             else:
-                if(trigger_type == OrchestrationTrigger):
+                if (trigger_type == OrchestrationTrigger):
                     trigger_type = "OrchestrationTrigger"
                 else:
                     trigger_type = "ActivityTrigger"

azure/durable_functions/models/Task.py

@@ -56,6 +56,14 @@ def __init__(self, id_: Union[int, str], actions: Union[List[Action], Action]):
         self.result: Any = None
         self.action_repr: Union[List[Action], Action] = actions
         self.is_played = False
+        self._is_scheduled_flag = False
+
+    @property
+    def _is_scheduled(self) -> bool:
+        return self._is_scheduled_flag
+
+    def _set_is_scheduled(self, is_scheduled: bool):
+        self._is_scheduled_flag = is_scheduled
 
     @property
     def is_completed(self) -> bool:
@@ -158,7 +166,8 @@ def __init__(self, tasks: List[TaskBase], compound_action_constructor=None):
             if isinstance(action_repr, list):
                 child_actions.extend(action_repr)
             else:
-                child_actions.append(action_repr)
+                if not task._is_scheduled:
+                    child_actions.append(action_repr)
         if compound_action_constructor is None:
             self.action_repr = child_actions
         else:  # replay_schema is ReplaySchema.V2
@@ -176,6 +185,10 @@ def __init__(self, tasks: List[TaskBase], compound_action_constructor=None):
             if not (child.state is TaskState.RUNNING):
                 self.handle_completion(child)
 
+    @property
+    def _is_scheduled(self) -> bool:
+        return all([child._is_scheduled for child in self.children])
+
     def handle_completion(self, child: TaskBase):
         """Manage sub-task completion events.
 

azure/durable_functions/models/TaskOrchestrationExecutor.py

@@ -1,4 +1,4 @@
-from azure.durable_functions.models.Task import TaskBase, TaskState, AtomicTask
+from azure.durable_functions.models.Task import TaskBase, TaskState, AtomicTask, CompoundTask
 from azure.durable_functions.models.OrchestratorState import OrchestratorState
 from azure.durable_functions.models.DurableOrchestrationContext import DurableOrchestrationContext
 from typing import Any, List, Optional, Union
@@ -229,7 +229,8 @@ def resume_user_code(self):
             task_succeeded = current_task.state is TaskState.SUCCEEDED
             new_task = self.generator.send(
                 task_value) if task_succeeded else self.generator.throw(task_value)
-            self.context._add_to_open_tasks(new_task)
+            if isinstance(new_task, TaskBase) and not (new_task._is_scheduled):
+                self.context._add_to_open_tasks(new_task)
         except StopIteration as stop_exception:
             # the orchestration returned,
             # flag it as such and capture its output
@@ -245,9 +246,17 @@ def resume_user_code(self):
                 # user yielded the same task multiple times, continue executing code
                 # until a new/not-previously-yielded task is encountered
                 self.resume_user_code()
-            else:
+            elif not (self.current_task._is_scheduled):
                 # new task is received. it needs to be resolved to a value
                 self.context._add_to_actions(self.current_task.action_repr)
+                self._mark_as_scheduled(self.current_task)
+
+    def _mark_as_scheduled(self, task: TaskBase):
+        if isinstance(task, CompoundTask):
+            for task in task.children:
+                self._mark_as_scheduled(task)
+        else:
+            task._set_is_scheduled(True)
 
     def get_orchestrator_state_str(self) -> str:
         """Obtain a JSON-formatted string representing the orchestration's state.

samples-v2/blueprint/.funcignore

@@ -0,0 +1,8 @@
+.git*
+.vscode
+__azurite_db*__.json
+__blobstorage__
+__queuestorage__
+local.settings.json
+test
+.venv

samples-v2/blueprint/.gitignore

@@ -0,0 +1,135 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+pip-wheel-metadata/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+.hypothesis/
+.pytest_cache/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+.python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don’t work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# celery beat schedule file
+celerybeat-schedule
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# Azure Functions artifacts
+bin
+obj
+appsettings.json
+local.settings.json
+
+# Azurite artifacts
+__blobstorage__
+__queuestorage__
+__azurite_db*__.json
+.python_packages

samples-v2/blueprint/durable_blueprints.py

@@ -0,0 +1,31 @@
+import logging
+import azure.functions as func
+import azure.durable_functions as df
+
+# To learn more about blueprints in the Python prog model V2,
+# see: https://learn.microsoft.com/en-us/azure/azure-functions/functions-reference-python?tabs=asgi%2Capplication-level&pivots=python-mode-decorators#blueprints
+
+# Note, the `func` namespace does not contain Durable Functions triggers and bindings, so to register blueprints of
+# DF we need to use the `df` package's version of blueprints.
+bp = df.Blueprint()
+
+# We define a standard function-chaining DF pattern
+
+@bp.route(route="startOrchestrator")
+@bp.durable_client_input(client_name="client")
+async def start_orchestrator(req: func.HttpRequest, client):
+    instance_id = await client.start_new("my_orchestrator")
+
+    logging.info(f"Started orchestration with ID = '{instance_id}'.")
+    return client.create_check_status_response(req, instance_id)
+
+@bp.orchestration_trigger(context_name="context")
+def my_orchestrator(context: df.DurableOrchestrationContext):
+    result1 = yield context.call_activity('say_hello', "Tokyo")
+    result2 = yield context.call_activity('say_hello', "Seattle")
+    result3 = yield context.call_activity('say_hello', "London")
+    return [result1, result2, result3]
+
+@bp.activity_trigger(input_name="city")
+def say_hello(city: str) -> str:
+    return f"Hello {city}!"

samples-v2/blueprint/function_app.py

@@ -0,0 +1,30 @@
+import azure.functions as func
+import logging
+
+from durable_blueprints import bp
+
+app = func.FunctionApp(http_auth_level=func.AuthLevel.FUNCTION)
+app.register_functions(bp) # register the DF functions
+
+# Define a simple HTTP trigger function, to show that you can also
+# register functions via the `app` object
+@app.route(route="HttpTrigger")
+def HttpTrigger(req: func.HttpRequest) -> func.HttpResponse:
+    logging.info('Python HTTP trigger function processed a request.')
+
+    name = req.params.get('name')
+    if not name:
+        try:
+            req_body = req.get_json()
+        except ValueError:
+            pass
+        else:
+            name = req_body.get('name')
+
+    if name:
+        return func.HttpResponse(f"Hello, {name}. This HTTP triggered function executed successfully.")
+    else:
+        return func.HttpResponse(
+             "This HTTP triggered function executed successfully. Pass a name in the query string or in the request body for a personalized response.",
+             status_code=200
+        )

samples-v2/blueprint/host.json

@@ -0,0 +1,15 @@
+{
+  "version": "2.0",
+  "logging": {
+    "applicationInsights": {
+      "samplingSettings": {
+        "isEnabled": true,
+        "excludedTypes": "Request"
+      }
+    }
+  },
+  "extensionBundle": {
+    "id": "Microsoft.Azure.Functions.ExtensionBundle",
+    "version": "[4.*, 5.0.0)"
+  }
+}

samples-v2/blueprint/requirements.txt

@@ -0,0 +1,6 @@
+# DO NOT include azure-functions-worker in this file
+# The Python Worker is managed by Azure Functions platform
+# Manually managing azure-functions-worker may cause unexpected issues
+
+azure-functions
+azure-functions-durable>=1.2.4

samples-v2/fan_in_fan_out/host.json

@@ -7,5 +7,9 @@
         "excludedTypes": "Request"
       }
     }
+  },
+  "extensionBundle": {
+    "id": "Microsoft.Azure.Functions.ExtensionBundle",
+    "version": "[4.*, 5.0.0)"
   }
 }

samples-v2/function_chaining/function_app.py

@@ -6,20 +6,20 @@
 
 @myApp.route(route="orchestrators/{functionName}")
 @myApp.durable_client_input(client_name="client")
-async def HttpStart(req: func.HttpRequest, client):
+async def http_start(req: func.HttpRequest, client):
     function_name = req.route_params.get('functionName')
     instance_id = await client.start_new(function_name)
 
     logging.info(f"Started orchestration with ID = '{instance_id}'.")
     return client.create_check_status_response(req, instance_id)
 
 @myApp.orchestration_trigger(context_name="context")
-def E1_SayHello(context: df.DurableOrchestrationContext):
+def my_orchestrator(context: df.DurableOrchestrationContext):
     result1 = yield context.call_activity('say_hello', "Tokyo")
     result2 = yield context.call_activity('say_hello', "Seattle")
     result3 = yield context.call_activity('say_hello', "London")
     return [result1, result2, result3]
 
 @myApp.activity_trigger(input_name="city")
-def E1_SayHello(city: str) -> str:
+def say_hello(city: str) -> str:
     return f"Hello {city}!"

samples-v2/function_chaining/host.json

@@ -1,4 +1,18 @@
 {
+  "version": "2.0",
+  "logging": {
+    "applicationInsights": {
+      "samplingSettings": {
+        "isEnabled": true,
+        "excludedTypes": "Request"
+      }
+    }
+  },
+  "extensionBundle": {
+    "id": "Microsoft.Azure.Functions.ExtensionBundle",
+    "version": "[4.*, 5.0.0)"
+  }
+}{
   "version": "2.0",
   "logging": {
     "applicationInsights": {