release: 0.2.0-alpha.37

.release-please-manifest.json

@@ -1,3 +1,3 @@
 {
-  ".": "0.2.0-alpha.36"
+  ".": "0.2.0-alpha.37"
 }

CHANGELOG.md

@@ -5,6 +5,17 @@ All notable changes to this project will be documented in this file.
 The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/)
 and this project adheres to [Semantic Versioning](http://semver.org/spec/v2.0.0.html).
 
+## 0.2.0-alpha.37 (2024-11-13)
+
+Full Changelog: [v0.2.0-alpha.36...v0.2.0-alpha.37](https://github.com/openlayer-ai/openlayer-python/compare/v0.2.0-alpha.36...v0.2.0-alpha.37)
+
+### Chores
+
+* add Vertex AI example ([b668aeb](https://github.com/openlayer-ai/openlayer-python/commit/b668aeb58f7b78f85136c3635d1c8959df5bec21))
+* **internal:** version bump ([#375](https://github.com/openlayer-ai/openlayer-python/issues/375)) ([fcd0205](https://github.com/openlayer-ai/openlayer-python/commit/fcd0205203eb54776bf7d3b361db82c2681816ff))
+* rebuild project due to codegen change ([#378](https://github.com/openlayer-ai/openlayer-python/issues/378)) ([01ba806](https://github.com/openlayer-ai/openlayer-python/commit/01ba806143e8cb0e2d718501226e62e55cb7a1de))
+* rebuild project due to codegen change ([#379](https://github.com/openlayer-ai/openlayer-python/issues/379)) ([a6fc82b](https://github.com/openlayer-ai/openlayer-python/commit/a6fc82b48729044f8a00d2947b751414f4b423af))
+
 ## 0.2.0-alpha.36 (2024-11-04)
 
 Full Changelog: [v0.2.0-alpha.35...v0.2.0-alpha.36](https://github.com/openlayer-ai/openlayer-python/compare/v0.2.0-alpha.35...v0.2.0-alpha.36)

README.md

@@ -2,7 +2,7 @@
 
 [![PyPI version](https://img.shields.io/pypi/v/openlayer.svg)](https://pypi.org/project/openlayer/)
 
-The Openlayer Python library provides convenient access to the Openlayer REST API from any Python 3.7+
+The Openlayer Python library provides convenient access to the Openlayer REST API from any Python 3.8+
 application. The library includes type definitions for all request params and response fields,
 and offers both synchronous and asynchronous clients powered by [httpx](https://github.com/encode/httpx).
 
@@ -28,8 +28,7 @@ import os
 from openlayer import Openlayer
 
 client = Openlayer(
-    # This is the default and can be omitted
-    api_key=os.environ.get("OPENLAYER_API_KEY"),
+    api_key=os.environ.get("OPENLAYER_API_KEY"),  # This is the default and can be omitted
 )
 
 response = client.inference_pipelines.data.stream(
@@ -69,8 +68,7 @@ import asyncio
 from openlayer import AsyncOpenlayer
 
 client = AsyncOpenlayer(
-    # This is the default and can be omitted
-    api_key=os.environ.get("OPENLAYER_API_KEY"),
+    api_key=os.environ.get("OPENLAYER_API_KEY"),  # This is the default and can be omitted
 )
 
 
@@ -438,7 +436,7 @@ print(openlayer.__version__)
 
 ## Requirements
 
-Python 3.7 or higher.
+Python 3.8 or higher.
 
 ## Contributing
 

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "openlayer"
-version = "0.2.0-alpha.36"
+version = "0.2.0-alpha.37"
 description = "The official Python library for the openlayer API"
 dynamic = ["readme"]
 license = "Apache-2.0"
@@ -20,11 +20,10 @@ dependencies = [
     "pyyaml>=6.0",
     "requests_toolbelt>=1.0.0",
 ]
-requires-python = ">= 3.7"
+requires-python = ">= 3.8"
 classifiers = [
   "Typing :: Typed",
   "Intended Audience :: Developers",
-  "Programming Language :: Python :: 3.7",
   "Programming Language :: Python :: 3.8",
   "Programming Language :: Python :: 3.9",
   "Programming Language :: Python :: 3.10",
@@ -143,7 +142,7 @@ filterwarnings = [
 # there are a couple of flags that are still disabled by
 # default in strict mode as they are experimental and niche.
 typeCheckingMode = "strict"
-pythonVersion = "3.7"
+pythonVersion = "3.8"
 
 exclude = [
     "_dev",

src/openlayer/_utils/_transform.py

@@ -316,6 +316,11 @@ async def _async_transform_recursive(
         # Iterable[T]
         or (is_iterable_type(stripped_type) and is_iterable(data) and not isinstance(data, str))
     ):
+        # dicts are technically iterable, but it is an iterable on the keys of the dict and is not usually
+        # intended as an iterable, so we don't transform it.
+        if isinstance(data, dict):
+            return cast(object, data)
+
         inner_type = extract_type_arg(stripped_type, 0)
         return [await _async_transform_recursive(d, annotation=annotation, inner_type=inner_type) for d in data]
 

src/openlayer/_version.py

@@ -1,4 +1,4 @@
 # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
 __title__ = "openlayer"
-__version__ = "0.2.0-alpha.36"  # x-release-please-version
+__version__ = "0.2.0-alpha.37"  # x-release-please-version

tests/test_client.py

@@ -702,7 +702,7 @@ class Model(BaseModel):
             [3, "", 0.5],
             [2, "", 0.5 * 2.0],
             [1, "", 0.5 * 4.0],
-            [-1100, "", 7.8],  # test large number potentially overflowing
+            [-1100, "", 8],  # test large number potentially overflowing
         ],
     )
     @mock.patch("time.time", mock.MagicMock(return_value=1696004797))
@@ -1574,7 +1574,7 @@ class Model(BaseModel):
             [3, "", 0.5],
             [2, "", 0.5 * 2.0],
             [1, "", 0.5 * 4.0],
-            [-1100, "", 7.8],  # test large number potentially overflowing
+            [-1100, "", 8],  # test large number potentially overflowing
         ],
     )
     @mock.patch("time.time", mock.MagicMock(return_value=1696004797))