Merge pull request #30 from isaacus-dev/release-please--branches--main--changes--next

release: 0.1.4

Author: umarbutler

.devcontainer/Dockerfile

@@ -3,7 +3,7 @@ FROM mcr.microsoft.com/vscode/devcontainers/python:0-${VARIANT}
 
 USER vscode
 
-RUN curl -sSf https://rye.astral.sh/get | RYE_VERSION="0.35.0" RYE_INSTALL_OPTION="--yes" bash
+RUN curl -sSf https://rye.astral.sh/get | RYE_VERSION="0.44.0" RYE_INSTALL_OPTION="--yes" bash
 ENV PATH=/home/vscode/.rye/shims:$PATH
 
 RUN echo "[[ -d .venv ]] && source .venv/bin/activate || export PATH=\$PATH" >> /home/vscode/.bashrc

.github/workflows/ci.yml

@@ -21,7 +21,7 @@ jobs:
           curl -sSf https://rye.astral.sh/get | bash
           echo "$HOME/.rye/shims" >> $GITHUB_PATH
         env:
-          RYE_VERSION: '0.35.0'
+          RYE_VERSION: '0.44.0'
           RYE_INSTALL_OPTION: '--yes'
 
       - name: Install dependencies
@@ -42,7 +42,7 @@ jobs:
           curl -sSf https://rye.astral.sh/get | bash
           echo "$HOME/.rye/shims" >> $GITHUB_PATH
         env:
-          RYE_VERSION: '0.35.0'
+          RYE_VERSION: '0.44.0'
           RYE_INSTALL_OPTION: '--yes'
 
       - name: Bootstrap

.github/workflows/publish-pypi.yml

@@ -21,7 +21,7 @@ jobs:
           curl -sSf https://rye.astral.sh/get | bash
           echo "$HOME/.rye/shims" >> $GITHUB_PATH
         env:
-          RYE_VERSION: '0.35.0'
+          RYE_VERSION: '0.44.0'
           RYE_INSTALL_OPTION: '--yes'
 
       - name: Publish to PyPI

.release-please-manifest.json

@@ -1,3 +1,3 @@
 {
-  ".": "0.1.3"
+  ".": "0.1.4"
 }

.stats.yml

@@ -1,2 +1,2 @@
 configured_endpoints: 1
-openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/isaacus%2Fisaacus-472ef5f1174bab055fd83756f45445b5c0f1f3f442c531dfc275ea895ec229a7.yml
+openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/isaacus%2Fisaacus-ec269bff43481aeb5c72d3074aa31815ef915d435e78bc62b0290437a7b2992a.yml

CHANGELOG.md

@@ -1,5 +1,25 @@
 # Changelog
 
+## 0.1.4 (2025-03-15)
+
+Full Changelog: [v0.1.3...v0.1.4](https://github.com/isaacus-dev/isaacus-python/compare/v0.1.3...v0.1.4)
+
+### Features
+
+* **api:** added latest OpenAPI specification ([#29](https://github.com/isaacus-dev/isaacus-python/issues/29)) ([411d83f](https://github.com/isaacus-dev/isaacus-python/commit/411d83f2da5913573e8e09c281a5dfb949670bf9))
+* **api:** added latest OpenAPI specification ([#33](https://github.com/isaacus-dev/isaacus-python/issues/33)) ([b053a4a](https://github.com/isaacus-dev/isaacus-python/commit/b053a4a60f48d9d3197d384fe6e3a57723216ac9))
+* **api:** added latest OpenAPI specification ([#34](https://github.com/isaacus-dev/isaacus-python/issues/34)) ([d9aef7f](https://github.com/isaacus-dev/isaacus-python/commit/d9aef7fa1d6f5283bdd3afd1962f52d2ed072499))
+
+
+### Bug Fixes
+
+* **types:** handle more discriminated union shapes ([#32](https://github.com/isaacus-dev/isaacus-python/issues/32)) ([0644ad3](https://github.com/isaacus-dev/isaacus-python/commit/0644ad39f602b43ee03e4eb4ec58b05cb5ff28aa))
+
+
+### Chores
+
+* **internal:** bump rye to 0.44.0 ([#31](https://github.com/isaacus-dev/isaacus-python/issues/31)) ([371c249](https://github.com/isaacus-dev/isaacus-python/commit/371c2490695cd773b8202c8cd016360535609923))
+
 ## 0.1.3 (2025-03-15)
 
 Full Changelog: [v0.1.2...v0.1.3](https://github.com/isaacus-dev/isaacus-python/compare/v0.1.2...v0.1.3)

README.md

@@ -15,10 +15,13 @@ The REST API documentation can be found on [docs.isaacus.com](https://docs.isaac
 ## Installation
 
 ```sh
-# install from PyPI
-pip install isaacus
+# install from the production repo
+pip install git+ssh://[email protected]/isaacus-dev/isaacus-python.git
 ```
 
+> [!NOTE]
+> Once this package is [published to PyPI](https://app.stainless.com/docs/guides/publish), this will become: `pip install isaacus`
+
 ## Usage
 
 The full API of this library can be found in [api.md](api.md).
@@ -96,7 +99,7 @@ universal_classification = client.classifications.universal.create(
     text="I agree not to tell anyone about the document.",
     chunking_options={
         "overlap_ratio": 0.1,
-        "overlap_tokens": 0,
+        "overlap_tokens": None,
         "size": 512,
     },
 )

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "isaacus"
-version = "0.1.3"
+version = "0.1.4"
 description = "The official Python library for the isaacus API"
 dynamic = ["readme"]
 license = "Apache-2.0"

src/isaacus/_models.py

@@ -65,7 +65,7 @@
 from ._constants import RAW_RESPONSE_HEADER
 
 if TYPE_CHECKING:
-    from pydantic_core.core_schema import ModelField, LiteralSchema, ModelFieldsSchema
+    from pydantic_core.core_schema import ModelField, ModelSchema, LiteralSchema, ModelFieldsSchema
 
 __all__ = ["BaseModel", "GenericModel"]
 
@@ -646,15 +646,18 @@ def _build_discriminated_union_meta(*, union: type, meta_annotations: tuple[Any,
 
 def _extract_field_schema_pv2(model: type[BaseModel], field_name: str) -> ModelField | None:
     schema = model.__pydantic_core_schema__
+    if schema["type"] == "definitions":
+        schema = schema["schema"]
+
     if schema["type"] != "model":
         return None
 
+    schema = cast("ModelSchema", schema)
     fields_schema = schema["schema"]
     if fields_schema["type"] != "model-fields":
         return None
 
     fields_schema = cast("ModelFieldsSchema", fields_schema)
-
     field = fields_schema["fields"].get(field_name)
     if not field:
         return None

src/isaacus/_version.py

@@ -1,4 +1,4 @@
 # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
 __title__ = "isaacus"
-__version__ = "0.1.3"  # x-release-please-version
+__version__ = "0.1.4"  # x-release-please-version

src/isaacus/resources/classifications/universal.py

@@ -68,10 +68,11 @@ def create(
         legal AI classifier.
 
         Args:
-          model: The ID of the model to use for universal classification.
+          model: The ID of the [model](https://docs.isaacus.com/models#universal-classification)
+              to use for universal classification.
 
-          query: The Isaacus Query Language (IQL) query or, if IQL is disabled, the statement, to
-              evaluate the text against.
+          query: The [Isaacus Query Language (IQL)](https://docs.isaacus.com/iql) query or, if
+              IQL is disabled, the statement, to evaluate the text against.
 
               The query must contain at least one non-whitespace character.
 
@@ -84,8 +85,8 @@ def create(
 
           chunking_options: Options for how to split text into smaller chunks.
 
-          is_iql: Whether the query should be interpreted as an Isaacus Query Language (IQL) query
-              or else as a statement.
+          is_iql: Whether the query should be interpreted as an
+              [IQL](https://docs.isaacus.com/iql) query or else as a statement.
 
           scoring_method: The method to use for producing an overall confidence score.
 
@@ -168,10 +169,11 @@ async def create(
         legal AI classifier.
 
         Args:
-          model: The ID of the model to use for universal classification.
+          model: The ID of the [model](https://docs.isaacus.com/models#universal-classification)
+              to use for universal classification.
 
-          query: The Isaacus Query Language (IQL) query or, if IQL is disabled, the statement, to
-              evaluate the text against.
+          query: The [Isaacus Query Language (IQL)](https://docs.isaacus.com/iql) query or, if
+              IQL is disabled, the statement, to evaluate the text against.
 
               The query must contain at least one non-whitespace character.
 
@@ -184,8 +186,8 @@ async def create(
 
           chunking_options: Options for how to split text into smaller chunks.
 
-          is_iql: Whether the query should be interpreted as an Isaacus Query Language (IQL) query
-              or else as a statement.
+          is_iql: Whether the query should be interpreted as an
+              [IQL](https://docs.isaacus.com/iql) query or else as a statement.
 
           scoring_method: The method to use for producing an overall confidence score.
 

src/isaacus/types/classifications/universal_create_params.py

@@ -10,12 +10,15 @@
 
 class UniversalCreateParams(TypedDict, total=False):
     model: Required[Literal["kanon-universal-classifier", "kanon-universal-classifier-mini"]]
-    """The ID of the model to use for universal classification."""
+    """
+    The ID of the [model](https://docs.isaacus.com/models#universal-classification)
+    to use for universal classification.
+    """
 
     query: Required[str]
     """
-    The Isaacus Query Language (IQL) query or, if IQL is disabled, the statement, to
-    evaluate the text against.
+    The [Isaacus Query Language (IQL)](https://docs.isaacus.com/iql) query or, if
+    IQL is disabled, the statement, to evaluate the text against.
 
     The query must contain at least one non-whitespace character.
 
@@ -34,8 +37,8 @@ class UniversalCreateParams(TypedDict, total=False):
 
     is_iql: bool
     """
-    Whether the query should be interpreted as an Isaacus Query Language (IQL) query
-    or else as a statement.
+    Whether the query should be interpreted as an
+    [IQL](https://docs.isaacus.com/iql) query or else as a statement.
     """
 
     scoring_method: Literal["auto", "chunk_max", "chunk_avg", "chunk_min"]

tests/test_models.py

@@ -854,3 +854,35 @@ class Model(BaseModel):
     m = construct_type(value={"cls": "foo"}, type_=Model)
     assert isinstance(m, Model)
     assert isinstance(m.cls, str)
+
+
+def test_discriminated_union_case() -> None:
+    class A(BaseModel):
+        type: Literal["a"]
+
+        data: bool
+
+    class B(BaseModel):
+        type: Literal["b"]
+
+        data: List[Union[A, object]]
+
+    class ModelA(BaseModel):
+        type: Literal["modelA"]
+
+        data: int
+
+    class ModelB(BaseModel):
+        type: Literal["modelB"]
+
+        required: str
+
+        data: Union[A, B]
+
+    # when constructing ModelA | ModelB, value data doesn't match ModelB exactly - missing `required`
+    m = construct_type(
+        value={"type": "modelB", "data": {"type": "a", "data": True}},
+        type_=cast(Any, Annotated[Union[ModelA, ModelB], PropertyInfo(discriminator="type")]),
+    )
+
+    assert isinstance(m, ModelB)