SDK regeneration

pyproject.toml

@@ -1,5 +1,3 @@
-[project]
-name = "hume"
 [tool.poetry]
 name = "hume"
 version = "0.7.6"

src/hume/core/__init__.py

@@ -3,7 +3,7 @@
 from .api_error import ApiError
 from .client_wrapper import AsyncClientWrapper, BaseClientWrapper, SyncClientWrapper
 from .datetime_utils import serialize_datetime
-from .file import File, convert_file_dict_to_httpx_tuples
+from .file import File, convert_file_dict_to_httpx_tuples, with_content_type
 from .http_client import AsyncHttpClient, HttpClient
 from .jsonable_encoder import jsonable_encoder
 from .pagination import AsyncPager, SyncPager
@@ -46,4 +46,5 @@
     "universal_field_validator",
     "universal_root_validator",
     "update_forward_refs",
+    "with_content_type",
 ]

src/hume/core/file.py

@@ -1,30 +1,30 @@
 # This file was auto-generated by Fern from our API Definition.
 
-import typing
+from typing import IO, Dict, List, Mapping, Optional, Tuple, Union, cast
 
 # File typing inspired by the flexibility of types within the httpx library
 # https://github.com/encode/httpx/blob/master/httpx/_types.py
-FileContent = typing.Union[typing.IO[bytes], bytes, str]
-File = typing.Union[
+FileContent = Union[IO[bytes], bytes, str]
+File = Union[
     # file (or bytes)
     FileContent,
     # (filename, file (or bytes))
-    typing.Tuple[typing.Optional[str], FileContent],
+    Tuple[Optional[str], FileContent],
     # (filename, file (or bytes), content_type)
-    typing.Tuple[typing.Optional[str], FileContent, typing.Optional[str]],
+    Tuple[Optional[str], FileContent, Optional[str]],
     # (filename, file (or bytes), content_type, headers)
-    typing.Tuple[
-        typing.Optional[str],
+    Tuple[
+        Optional[str],
         FileContent,
-        typing.Optional[str],
-        typing.Mapping[str, str],
+        Optional[str],
+        Mapping[str, str],
     ],
 ]
 
 
 def convert_file_dict_to_httpx_tuples(
-    d: typing.Dict[str, typing.Union[File, typing.List[File]]],
-) -> typing.List[typing.Tuple[str, File]]:
+    d: Dict[str, Union[File, List[File]]],
+) -> List[Tuple[str, File]]:
     """
     The format we use is a list of tuples, where the first element is the
     name of the file and the second is the file object. Typically HTTPX wants
@@ -41,3 +41,22 @@ def convert_file_dict_to_httpx_tuples(
         else:
             httpx_tuples.append((key, file_like))
     return httpx_tuples
+
+
+def with_content_type(*, file: File, content_type: str) -> File:
+    """ """
+    if isinstance(file, tuple):
+        if len(file) == 2:
+            filename, content = cast(Tuple[Optional[str], FileContent], file)  # type: ignore
+            return (filename, content, content_type)
+        elif len(file) == 3:
+            filename, content, _ = cast(Tuple[Optional[str], FileContent, Optional[str]], file)  # type: ignore
+            return (filename, content, content_type)
+        elif len(file) == 4:
+            filename, content, _, headers = cast(  # type: ignore
+                Tuple[Optional[str], FileContent, Optional[str], Mapping[str, str]], file
+            )
+            return (filename, content, content_type, headers)
+        else:
+            raise ValueError(f"Unexpected tuple length: {len(file)}")
+    return (None, file, content_type)

src/hume/core/http_client.py

@@ -152,17 +152,20 @@ def __init__(
         self,
         *,
         httpx_client: httpx.Client,
-        base_timeout: typing.Optional[float],
-        base_headers: typing.Dict[str, str],
-        base_url: typing.Optional[str] = None,
+        base_timeout: typing.Callable[[], typing.Optional[float]],
+        base_headers: typing.Callable[[], typing.Dict[str, str]],
+        base_url: typing.Optional[typing.Callable[[], str]] = None,
     ):
         self.base_url = base_url
         self.base_timeout = base_timeout
         self.base_headers = base_headers
         self.httpx_client = httpx_client
 
     def get_base_url(self, maybe_base_url: typing.Optional[str]) -> str:
-        base_url = self.base_url if maybe_base_url is None else maybe_base_url
+        base_url = maybe_base_url
+        if self.base_url is not None and base_url is None:
+            base_url = self.base_url()
+
         if base_url is None:
             raise ValueError("A base_url is required to make this request, please provide one and try again.")
         return base_url
@@ -187,7 +190,7 @@ def request(
         timeout = (
             request_options.get("timeout_in_seconds")
             if request_options is not None and request_options.get("timeout_in_seconds") is not None
-            else self.base_timeout
+            else self.base_timeout()
         )
 
         json_body, data_body = get_request_body(json=json, data=data, request_options=request_options, omit=omit)
@@ -198,7 +201,7 @@ def request(
             headers=jsonable_encoder(
                 remove_none_from_dict(
                     {
-                        **self.base_headers,
+                        **self.base_headers(),
                         **(headers if headers is not None else {}),
                         **(request_options.get("additional_headers", {}) or {} if request_options is not None else {}),
                     }
@@ -224,7 +227,9 @@ def request(
             json=json_body,
             data=data_body,
             content=content,
-            files=convert_file_dict_to_httpx_tuples(remove_none_from_dict(files)) if files is not None else None,
+            files=convert_file_dict_to_httpx_tuples(remove_none_from_dict(files))
+            if (files is not None and files is not omit)
+            else None,
             timeout=timeout,
         )
 
@@ -269,7 +274,7 @@ def stream(
         timeout = (
             request_options.get("timeout_in_seconds")
             if request_options is not None and request_options.get("timeout_in_seconds") is not None
-            else self.base_timeout
+            else self.base_timeout()
         )
 
         json_body, data_body = get_request_body(json=json, data=data, request_options=request_options, omit=omit)
@@ -280,7 +285,7 @@ def stream(
             headers=jsonable_encoder(
                 remove_none_from_dict(
                     {
-                        **self.base_headers,
+                        **self.base_headers(),
                         **(headers if headers is not None else {}),
                         **(request_options.get("additional_headers", {}) if request_options is not None else {}),
                     }
@@ -306,7 +311,9 @@ def stream(
             json=json_body,
             data=data_body,
             content=content,
-            files=convert_file_dict_to_httpx_tuples(remove_none_from_dict(files)) if files is not None else None,
+            files=convert_file_dict_to_httpx_tuples(remove_none_from_dict(files))
+            if (files is not None and files is not omit)
+            else None,
             timeout=timeout,
         ) as stream:
             yield stream
@@ -317,17 +324,20 @@ def __init__(
         self,
         *,
         httpx_client: httpx.AsyncClient,
-        base_timeout: typing.Optional[float],
-        base_headers: typing.Dict[str, str],
-        base_url: typing.Optional[str] = None,
+        base_timeout: typing.Callable[[], typing.Optional[float]],
+        base_headers: typing.Callable[[], typing.Dict[str, str]],
+        base_url: typing.Optional[typing.Callable[[], str]] = None,
     ):
         self.base_url = base_url
         self.base_timeout = base_timeout
         self.base_headers = base_headers
         self.httpx_client = httpx_client
 
     def get_base_url(self, maybe_base_url: typing.Optional[str]) -> str:
-        base_url = self.base_url if maybe_base_url is None else maybe_base_url
+        base_url = maybe_base_url
+        if self.base_url is not None and base_url is None:
+            base_url = self.base_url()
+
         if base_url is None:
             raise ValueError("A base_url is required to make this request, please provide one and try again.")
         return base_url
@@ -352,7 +362,7 @@ async def request(
         timeout = (
             request_options.get("timeout_in_seconds")
             if request_options is not None and request_options.get("timeout_in_seconds") is not None
-            else self.base_timeout
+            else self.base_timeout()
         )
 
         json_body, data_body = get_request_body(json=json, data=data, request_options=request_options, omit=omit)
@@ -364,7 +374,7 @@ async def request(
             headers=jsonable_encoder(
                 remove_none_from_dict(
                     {
-                        **self.base_headers,
+                        **self.base_headers(),
                         **(headers if headers is not None else {}),
                         **(request_options.get("additional_headers", {}) or {} if request_options is not None else {}),
                     }
@@ -434,7 +444,7 @@ async def stream(
         timeout = (
             request_options.get("timeout_in_seconds")
             if request_options is not None and request_options.get("timeout_in_seconds") is not None
-            else self.base_timeout
+            else self.base_timeout()
         )
 
         json_body, data_body = get_request_body(json=json, data=data, request_options=request_options, omit=omit)
@@ -445,7 +455,7 @@ async def stream(
             headers=jsonable_encoder(
                 remove_none_from_dict(
                     {
-                        **self.base_headers,
+                        **self.base_headers(),
                         **(headers if headers is not None else {}),
                         **(request_options.get("additional_headers", {}) if request_options is not None else {}),
                     }

src/hume/core/pydantic_utilities.py

@@ -97,15 +97,15 @@ class Config:
 
     @classmethod
     def model_construct(
-        cls: type[Model], _fields_set: typing.Optional[typing.Set[str]] = None, **values: typing.Any
-    ) -> Model:
+        cls: typing.Type["Model"], _fields_set: typing.Optional[typing.Set[str]] = None, **values: typing.Any
+    ) -> "Model":
         dealiased_object = convert_and_respect_annotation_metadata(object_=values, annotation=cls, direction="read")
         return cls.construct(_fields_set, **dealiased_object)
 
     @classmethod
     def construct(
-        cls: type[Model], _fields_set: typing.Optional[typing.Set[str]] = None, **values: typing.Any
-    ) -> Model:
+        cls: typing.Type["Model"], _fields_set: typing.Optional[typing.Set[str]] = None, **values: typing.Any
+    ) -> "Model":
         dealiased_object = convert_and_respect_annotation_metadata(object_=values, annotation=cls, direction="read")
         if IS_PYDANTIC_V2:
             return super().model_construct(_fields_set, **dealiased_object)  # type: ignore # Pydantic v2
@@ -152,7 +152,7 @@ def dict(self, **kwargs: typing.Any) -> typing.Dict[str, typing.Any]:
             )
 
         else:
-            _fields_set = self.__fields_set__
+            _fields_set = self.__fields_set__.copy()
 
             fields = _get_model_fields(self.__class__)
             for name, field in fields.items():
@@ -162,9 +162,12 @@ def dict(self, **kwargs: typing.Any) -> typing.Dict[str, typing.Any]:
                     # If the default values are non-null act like they've been set
                     # This effectively allows exclude_unset to work like exclude_none where
                     # the latter passes through intentionally set none values.
-                    if default != None:
+                    if default is not None or ("exclude_unset" in kwargs and not kwargs["exclude_unset"]):
                         _fields_set.add(name)
 
+                        if default is not None:
+                            self.__fields_set__.add(name)
+
             kwargs_with_defaults_exclude_unset_include_fields: typing.Any = {
                 "by_alias": True,
                 "exclude_unset": True,
@@ -177,13 +180,33 @@ def dict(self, **kwargs: typing.Any) -> typing.Dict[str, typing.Any]:
         return convert_and_respect_annotation_metadata(object_=dict_dump, annotation=self.__class__, direction="write")
 
 
+def _union_list_of_pydantic_dicts(
+    source: typing.List[typing.Any], destination: typing.List[typing.Any]
+) -> typing.List[typing.Any]:
+    converted_list: typing.List[typing.Any] = []
+    for i, item in enumerate(source):
+        destination_value = destination[i]  # type: ignore
+        if isinstance(item, dict):
+            converted_list.append(deep_union_pydantic_dicts(item, destination_value))
+        elif isinstance(item, list):
+            converted_list.append(_union_list_of_pydantic_dicts(item, destination_value))
+        else:
+            converted_list.append(item)
+    return converted_list
+
+
 def deep_union_pydantic_dicts(
     source: typing.Dict[str, typing.Any], destination: typing.Dict[str, typing.Any]
 ) -> typing.Dict[str, typing.Any]:
     for key, value in source.items():
+        node = destination.setdefault(key, {})
         if isinstance(value, dict):
-            node = destination.setdefault(key, {})
             deep_union_pydantic_dicts(value, node)
+        # Note: we do not do this same processing for sets given we do not have sets of models
+        # and given the sets are unordered, the processing of the set and matching objects would
+        # be non-trivial.
+        elif isinstance(value, list):
+            destination[key] = _union_list_of_pydantic_dicts(value, node)
         else:
             destination[key] = value
 

src/hume/core/serialization.py

@@ -71,6 +71,24 @@ def convert_and_respect_annotation_metadata(
     if typing_extensions.is_typeddict(clean_type) and isinstance(object_, typing.Mapping):
         return _convert_mapping(object_, clean_type, direction)
 
+    if (
+        typing_extensions.get_origin(clean_type) == typing.Dict
+        or typing_extensions.get_origin(clean_type) == dict
+        or clean_type == typing.Dict
+    ) and isinstance(object_, typing.Dict):
+        key_type = typing_extensions.get_args(clean_type)[0]
+        value_type = typing_extensions.get_args(clean_type)[1]
+
+        return {
+            key: convert_and_respect_annotation_metadata(
+                object_=value,
+                annotation=annotation,
+                inner_type=value_type,
+                direction=direction,
+            )
+            for key, value in object_.items()
+        }
+
     # If you're iterating on a string, do not bother to coerce it to a sequence.
     if not isinstance(object_, str):
         if (

src/hume/expression_measurement/batch/client.py

@@ -350,7 +350,7 @@ def start_inference_job_from_local_file(
         self,
         *,
         file: typing.List[core.File],
-        json: typing.Optional[InferenceBaseRequest] = None,
+        json: typing.Optional[InferenceBaseRequest] = OMIT,
         request_options: typing.Optional[RequestOptions] = None,
     ) -> str:
         """
@@ -766,7 +766,7 @@ async def start_inference_job_from_local_file(
         self,
         *,
         file: typing.List[core.File],
-        json: typing.Optional[InferenceBaseRequest] = None,
+        json: typing.Optional[InferenceBaseRequest] = OMIT,
         request_options: typing.Optional[RequestOptions] = None,
     ) -> str:
         """