Test emit code

sdk/ai/azure-ai-projects/README.md

@@ -218,7 +218,7 @@ asset_file_path = os.path.abspath(
 
 # Upload the CSV file for the code interpreter
 file = openai_client.files.create(purpose="assistants", file=open(asset_file_path, "rb"))
-tool = CodeInterpreterTool(container=CodeInterpreterToolAuto(file_ids=[file.id]))
+tool = CodeInterpreterTool(container=CodeInterpreterContainerAuto(file_ids=[file.id]))
 ```
 
 <!-- END SNIPPET -->
@@ -348,7 +348,7 @@ Call external APIs defined by OpenAPI specifications without additional client-s
 with open(weather_asset_file_path, "r") as f:
     openapi_weather = jsonref.loads(f.read())
 
-tool = OpenApiAgentTool(
+tool = OpenApiTool(
     openapi=OpenApiFunctionDefinition(
         name="get_weather",
         spec=openapi_weather,
@@ -427,7 +427,7 @@ Integrate with Azure AI Search indexes for powerful knowledge retrieval and sema
 <!-- SNIPPET:sample_agent_ai_search.tool_declaration -->
 
 ```python
-tool = AzureAISearchAgentTool(
+tool = AzureAISearchTool(
     azure_ai_search=AzureAISearchToolResource(
         indexes=[
             AISearchIndexResource(
@@ -451,7 +451,7 @@ Ground agent responses with real-time web search results from Bing to provide up
 <!-- SNIPPET:sample_agent_bing_grounding.tool_declaration -->
 
 ```python
-tool = BingGroundingAgentTool(
+tool = BingGroundingTool(
     bing_grounding=BingGroundingSearchToolParameters(
         search_configurations=[
             BingGroundingSearchConfiguration(project_connection_id=os.environ["BING_PROJECT_CONNECTION_ID"])
@@ -471,7 +471,7 @@ Use custom-configured Bing search instances for domain-specific or filtered web
 <!-- SNIPPET:sample_agent_bing_custom_search.tool_declaration -->
 
 ```python
-tool = BingCustomSearchAgentTool(
+tool = BingCustomSearchPreviewTool(
     bing_custom_search_preview=BingCustomSearchToolParameters(
         search_configurations=[
             BingCustomSearchConfiguration(
@@ -494,7 +494,7 @@ Connect to and query Microsoft Fabric:
 <!-- SNIPPET:sample_agent_fabric.tool_declaration -->
 
 ```python
-tool = MicrosoftFabricAgentTool(
+tool = MicrosoftFabricPreviewTool(
     fabric_dataagent_preview=FabricDataAgentToolParameters(
         project_connections=[
             ToolProjectConnection(project_connection_id=os.environ["FABRIC_PROJECT_CONNECTION_ID"])
@@ -514,7 +514,7 @@ Access and search SharePoint documents, lists, and sites for enterprise knowledg
 <!-- SNIPPET:sample_agent_sharepoint.tool_declaration -->
 
 ```python
-tool = SharepointAgentTool(
+tool = SharepointPreviewTool(
     sharepoint_grounding_preview=SharepointGroundingToolParameters(
         project_connections=[
             ToolProjectConnection(project_connection_id=os.environ["SHAREPOINT_PROJECT_CONNECTION_ID"])
@@ -534,7 +534,7 @@ Automate browser interactions for web scraping, testing, and interaction with we
 <!-- SNIPPET:sample_agent_browser_automation.tool_declaration -->
 
 ```python
-tool = BrowserAutomationAgentTool(
+tool = BrowserAutomationPreviewTool(
     browser_automation_preview=BrowserAutomationToolParameters(
         connection=BrowserAutomationToolConnectionParameters(
             project_connection_id=os.environ["BROWSER_AUTOMATION_PROJECT_CONNECTION_ID"],
@@ -574,7 +574,7 @@ Enable multi-agent collaboration where agents can communicate and delegate tasks
 <!-- SNIPPET:sample_agent_to_agent.tool_declaration -->
 
 ```python
-tool = A2ATool(
+tool = A2APreviewTool(
     project_connection_id=os.environ["A2A_PROJECT_CONNECTION_ID"],
 )
 # If the connection is missing target, we need to set the A2A endpoint URL.
@@ -596,7 +596,7 @@ Call external APIs defined by OpenAPI specifications using project connection au
 with open(tripadvisor_asset_file_path, "r") as f:
     openapi_tripadvisor = jsonref.loads(f.read())
 
-tool = OpenApiAgentTool(
+tool = OpenApiTool(
     openapi=OpenApiFunctionDefinition(
         name="tripadvisor",
         spec=openapi_tripadvisor,

sdk/ai/azure-ai-projects/azure/ai/projects/_types.py

@@ -10,4 +10,5 @@
 
 if TYPE_CHECKING:
     from . import models as _models
+ComparisonFilterValueItems = Union[str, float]
 Filters = Union["_models.ComparisonFilter", "_models.CompoundFilter"]

sdk/ai/azure-ai-projects/azure/ai/projects/_utils/model_base.py

@@ -171,6 +171,21 @@ def default(self, o):  # pylint: disable=too-many-return-statements
     r"(Jan|Feb|Mar|Apr|May|Jun|Jul|Aug|Sep|Oct|Nov|Dec)\s\d{4}\s\d{2}:\d{2}:\d{2}\sGMT"
 )
 
+_ARRAY_ENCODE_MAPPING = {
+    "pipeDelimited": "|",
+    "spaceDelimited": " ",
+    "commaDelimited": ",",
+    "newlineDelimited": "\n",
+}
+
+
+def _deserialize_array_encoded(delimit: str, attr):
+    if isinstance(attr, str):
+        if attr == "":
+            return []
+        return attr.split(delimit)
+    return attr
+
 
 def _deserialize_datetime(attr: typing.Union[str, datetime]) -> datetime:
     """Deserialize ISO-8601 formatted string into Datetime object.
@@ -315,6 +330,8 @@ def _deserialize_int_as_str(attr):
 def get_deserializer(annotation: typing.Any, rf: typing.Optional["_RestField"] = None):
     if annotation is int and rf and rf._format == "str":
         return _deserialize_int_as_str
+    if annotation is str and rf and rf._format in _ARRAY_ENCODE_MAPPING:
+        return functools.partial(_deserialize_array_encoded, _ARRAY_ENCODE_MAPPING[rf._format])
     if rf and rf._format:
         return _DESERIALIZE_MAPPING_WITHFORMAT.get(rf._format)
     return _DESERIALIZE_MAPPING.get(annotation)  # pyright: ignore
@@ -353,9 +370,39 @@ def __contains__(self, key: typing.Any) -> bool:
         return key in self._data
 
     def __getitem__(self, key: str) -> typing.Any:
+        # If this key has been deserialized (for mutable types), we need to handle serialization
+        if hasattr(self, "_attr_to_rest_field"):
+            cache_attr = f"_deserialized_{key}"
+            if hasattr(self, cache_attr):
+                rf = _get_rest_field(getattr(self, "_attr_to_rest_field"), key)
+                if rf:
+                    value = self._data.get(key)
+                    if isinstance(value, (dict, list, set)):
+                        # For mutable types, serialize and return
+                        # But also update _data with serialized form and clear flag
+                        # so mutations via this returned value affect _data
+                        serialized = _serialize(value, rf._format)
+                        # If serialized form is same type (no transformation needed),
+                        # return _data directly so mutations work
+                        if isinstance(serialized, type(value)) and serialized == value:
+                            return self._data.get(key)
+                        # Otherwise return serialized copy and clear flag
+                        try:
+                            object.__delattr__(self, cache_attr)
+                        except AttributeError:
+                            pass
+                        # Store serialized form back
+                        self._data[key] = serialized
+                        return serialized
         return self._data.__getitem__(key)
 
     def __setitem__(self, key: str, value: typing.Any) -> None:
+        # Clear any cached deserialized value when setting through dictionary access
+        cache_attr = f"_deserialized_{key}"
+        try:
+            object.__delattr__(self, cache_attr)
+        except AttributeError:
+            pass
         self._data.__setitem__(key, value)
 
     def __delitem__(self, key: str) -> None:
@@ -483,6 +530,8 @@ def _is_model(obj: typing.Any) -> bool:
 
 def _serialize(o, format: typing.Optional[str] = None):  # pylint: disable=too-many-return-statements
     if isinstance(o, list):
+        if format in _ARRAY_ENCODE_MAPPING and all(isinstance(x, str) for x in o):
+            return _ARRAY_ENCODE_MAPPING[format].join(o)
         return [_serialize(x, format) for x in o]
     if isinstance(o, dict):
         return {k: _serialize(v, format) for k, v in o.items()}
@@ -638,6 +687,10 @@ def __new__(cls, *args: typing.Any, **kwargs: typing.Any) -> Self:
                 if not rf._rest_name_input:
                     rf._rest_name_input = attr
             cls._attr_to_rest_field: dict[str, _RestField] = dict(attr_to_rest_field.items())
+            cls._backcompat_attr_to_rest_field: dict[str, _RestField] = {
+                Model._get_backcompat_attribute_name(cls._attr_to_rest_field, attr): rf
+                for attr, rf in cls._attr_to_rest_field.items()
+            }
             cls._calculated.add(f"{cls.__module__}.{cls.__qualname__}")
 
         return super().__new__(cls)
@@ -647,6 +700,16 @@ def __init_subclass__(cls, discriminator: typing.Optional[str] = None) -> None:
             if hasattr(base, "__mapping__"):
                 base.__mapping__[discriminator or cls.__name__] = cls  # type: ignore
 
+    @classmethod
+    def _get_backcompat_attribute_name(cls, attr_to_rest_field: dict[str, "_RestField"], attr_name: str) -> str:
+        rest_field_obj = attr_to_rest_field.get(attr_name)  # pylint: disable=protected-access
+        if rest_field_obj is None:
+            return attr_name
+        original_tsp_name = getattr(rest_field_obj, "_original_tsp_name", None)  # pylint: disable=protected-access
+        if original_tsp_name:
+            return original_tsp_name
+        return attr_name
+
     @classmethod
     def _get_discriminator(cls, exist_discriminators) -> typing.Optional["_RestField"]:
         for v in cls.__dict__.values():
@@ -767,6 +830,17 @@ def _deserialize_sequence(
         return obj
     if isinstance(obj, ET.Element):
         obj = list(obj)
+    try:
+        if (
+            isinstance(obj, str)
+            and isinstance(deserializer, functools.partial)
+            and isinstance(deserializer.args[0], functools.partial)
+            and deserializer.args[0].func == _deserialize_array_encoded  # pylint: disable=comparison-with-callable
+        ):
+            # encoded string may be deserialized to sequence
+            return deserializer(obj)
+    except:  # pylint: disable=bare-except
+        pass
     return type(obj)(_deserialize(deserializer, entry, module) for entry in obj)
 
 
@@ -972,6 +1046,7 @@ def _failsafe_deserialize_xml(
         return None
 
 
+# pylint: disable=too-many-instance-attributes
 class _RestField:
     def __init__(
         self,
@@ -984,6 +1059,7 @@ def __init__(
         format: typing.Optional[str] = None,
         is_multipart_file_input: bool = False,
         xml: typing.Optional[dict[str, typing.Any]] = None,
+        original_tsp_name: typing.Optional[str] = None,
     ):
         self._type = type
         self._rest_name_input = name
@@ -995,10 +1071,15 @@ def __init__(
         self._format = format
         self._is_multipart_file_input = is_multipart_file_input
         self._xml = xml if xml is not None else {}
+        self._original_tsp_name = original_tsp_name
 
     @property
     def _class_type(self) -> typing.Any:
-        return getattr(self._type, "args", [None])[0]
+        result = getattr(self._type, "args", [None])[0]
+        # type may be wrapped by nested functools.partial so we need to check for that
+        if isinstance(result, functools.partial):
+            return getattr(result, "args", [None])[0]
+        return result
 
     @property
     def _rest_name(self) -> str:
@@ -1009,14 +1090,37 @@ def _rest_name(self) -> str:
     def __get__(self, obj: Model, type=None):  # pylint: disable=redefined-builtin
         # by this point, type and rest_name will have a value bc we default
         # them in __new__ of the Model class
-        item = obj.get(self._rest_name)
+        # Use _data.get() directly to avoid triggering __getitem__ which clears the cache
+        item = obj._data.get(self._rest_name)
         if item is None:
             return item
         if self._is_model:
             return item
-        return _deserialize(self._type, _serialize(item, self._format), rf=self)
+
+        # For mutable types, we want mutations to directly affect _data
+        # Check if we've already deserialized this value
+        cache_attr = f"_deserialized_{self._rest_name}"
+        if hasattr(obj, cache_attr):
+            # Return the value from _data directly (it's been deserialized in place)
+            return obj._data.get(self._rest_name)
+
+        deserialized = _deserialize(self._type, _serialize(item, self._format), rf=self)
+
+        # For mutable types, store the deserialized value back in _data
+        # so mutations directly affect _data
+        if isinstance(deserialized, (dict, list, set)):
+            obj._data[self._rest_name] = deserialized
+            object.__setattr__(obj, cache_attr, True)  # Mark as deserialized
+            return deserialized
+
+        return deserialized
 
     def __set__(self, obj: Model, value) -> None:
+        # Clear the cached deserialized object when setting a new value
+        cache_attr = f"_deserialized_{self._rest_name}"
+        if hasattr(obj, cache_attr):
+            object.__delattr__(obj, cache_attr)
+
         if value is None:
             # we want to wipe out entries if users set attr to None
             try:
@@ -1046,6 +1150,7 @@ def rest_field(
     format: typing.Optional[str] = None,
     is_multipart_file_input: bool = False,
     xml: typing.Optional[dict[str, typing.Any]] = None,
+    original_tsp_name: typing.Optional[str] = None,
 ) -> typing.Any:
     return _RestField(
         name=name,
@@ -1055,6 +1160,7 @@ def rest_field(
         format=format,
         is_multipart_file_input=is_multipart_file_input,
         xml=xml,
+        original_tsp_name=original_tsp_name,
     )
 
 

sdk/ai/azure-ai-projects/azure/ai/projects/_utils/serialization.py

@@ -821,13 +821,20 @@ def serialize_basic(cls, data, data_type, **kwargs):
         :param str data_type: Type of object in the iterable.
         :rtype: str, int, float, bool
         :return: serialized object
+        :raises TypeError: raise if data_type is not one of str, int, float, bool.
         """
         custom_serializer = cls._get_custom_serializers(data_type, **kwargs)
         if custom_serializer:
             return custom_serializer(data)
         if data_type == "str":
             return cls.serialize_unicode(data)
-        return eval(data_type)(data)  # nosec # pylint: disable=eval-used
+        if data_type == "int":
+            return int(data)
+        if data_type == "float":
+            return float(data)
+        if data_type == "bool":
+            return bool(data)
+        raise TypeError("Unknown basic data type: {}".format(data_type))
 
     @classmethod
     def serialize_unicode(cls, data):
@@ -1757,7 +1764,7 @@ def deserialize_basic(self, attr, data_type):  # pylint: disable=too-many-return
         :param str data_type: deserialization data type.
         :return: Deserialized basic type.
         :rtype: str, int, float or bool
-        :raises TypeError: if string format is not valid.
+        :raises TypeError: if string format is not valid or data_type is not one of str, int, float, bool.
         """
         # If we're here, data is supposed to be a basic type.
         # If it's still an XML node, take the text
@@ -1783,7 +1790,11 @@ def deserialize_basic(self, attr, data_type):  # pylint: disable=too-many-return
 
         if data_type == "str":
             return self.deserialize_unicode(attr)
-        return eval(data_type)(attr)  # nosec # pylint: disable=eval-used
+        if data_type == "int":
+            return int(attr)
+        if data_type == "float":
+            return float(attr)
+        raise TypeError("Unknown basic data type: {}".format(data_type))
 
     @staticmethod
     def deserialize_unicode(data):