Release 0.0.83

.github/workflows/tests.yml

@@ -38,4 +38,4 @@ jobs:
 
       - name: Test
         run: |
-            poetry run pytest .
+            fern test --command "poetry run pytest -rP ."

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "fern-api"
-version = "0.0.7"
+version = "0.0.83"
 description = ""
 readme = "README.md"
 authors = []

src/fern/core/client_wrapper.py

@@ -16,7 +16,7 @@ def get_headers(self) -> typing.Dict[str, str]:
         headers: typing.Dict[str, str] = {
             "X-Fern-Language": "Python",
             "X-Fern-SDK-Name": "fern-api",
-            "X-Fern-SDK-Version": "0.0.7",
+            "X-Fern-SDK-Version": "0.0.83",
         }
         headers["Authorization"] = f"Bearer {self._get_token()}"
         return headers

tests/__init__.py

@@ -0,0 +1,2 @@
+# This file was auto-generated by Fern from our API Definition.
+

tests/conftest.py

@@ -0,0 +1,16 @@
+# This file was auto-generated by Fern from our API Definition.
+
+import os
+
+import pytest
+from fern.client import AsyncFern, Fern
+
+
+@pytest.fixture
+def client() -> Fern:
+    return Fern(token=os.getenv("ENV_TOKEN", "token"), base_url=os.getenv("TESTS_BASE_URL", "base_url"))
+
+
+@pytest.fixture
+def async_client() -> AsyncFern:
+    return AsyncFern(token=os.getenv("ENV_TOKEN", "token"), base_url=os.getenv("TESTS_BASE_URL", "base_url"))

tests/test_snippets.py

@@ -0,0 +1,83 @@
+# This file was auto-generated by Fern from our API Definition.
+
+from fern.client import AsyncFern, Fern
+
+from fern import EndpointIdentifier, EndpointMethod, Sdk_Python
+
+from .utilities import validate_response
+
+
+async def test_get(client: Fern, async_client: AsyncFern) -> None:
+    expected_response = [
+        {
+            "type": "python",
+            "sdk": {"package": "vellum-ai", "version": "1.2.1"},
+            "sync_client": 'import Vellum from vellum.client\n\nclient = Vellum(api_key="YOUR_API_KEY")\nclient.search(query="Find documents written in the last 5 days")\n',
+            "async_client": 'import VellumAsync from vellum.client\n\nclient = VellumAsync(api_key="YOUR_API_KEY")\nawait client.search(query="Find documents written in the last 5 days")\n',
+        },
+        {
+            "type": "typescript",
+            "sdk": {"package": "vellum-ai", "version": "1.2.1"},
+            "client": 'import { VellumClient } from "vellum-ai";\n\nconst vellum = VellumClient({\n  apiKey="YOUR_API_KEY"\n})\nvellum.search({\n  query: "Find documents written in the last 5 days"\n})\n',
+        },
+    ]
+    response = client.snippets.get(endpoint=EndpointIdentifier(method=EndpointMethod.GET, path="/v1/search"))
+    validate_response(response, expected_response)
+
+    async_response = await async_client.snippets.get(
+        endpoint=EndpointIdentifier(method=EndpointMethod.GET, path="/v1/search")
+    )
+    validate_response(async_response, expected_response)
+
+
+async def test_load(client: Fern, async_client: AsyncFern) -> None:
+    expected_response = {
+        "next": 2,
+        "snippets": {
+            "/v1/search": {
+                "GET": [
+                    {
+                        "type": "python",
+                        "sdk": {"package": "vellum-ai", "version": "1.2.1"},
+                        "sync_client": 'import Vellum from vellum.client\n\nclient = Vellum(api_key="YOUR_API_KEY")\nclient.search(query="Find documents written in the last 5 days")\n',
+                        "async_client": 'import Vellum from vellum.client\n\nclient = Vellum(api_key="YOUR_API_KEY")\nclient.search(query="Find documents written in the last 5 days")\n',
+                    },
+                    {
+                        "type": "typescript",
+                        "sdk": {"package": "vellum-ai", "version": "1.2.1"},
+                        "client": 'import { VellumClient } from "vellum-ai";\n\nconst vellum = VellumClient({\n  apiKey="YOUR_API_KEY"\n})\nvellum.search({\n  query: "Find documents written in the last 5 days"\n})\n',
+                    },
+                ]
+            },
+            "v1/document-indexes": {
+                "POST": [
+                    {
+                        "type": "python",
+                        "sdk": {"package": "vellum-ai", "version": "1.2.1"},
+                        "sync_client": 'import Vellum from vellum.client\n\nclient = Vellum(api_key="YOUR_API_KEY")\nclient.document_indexes.create(name="meeting-reports", status="ACTIVE")\n',
+                        "async_client": 'import VellumAsync from vellum.client\n\nclient = VellumAsync(api_key="YOUR_API_KEY")\nawait client.document_indexes.create(name="meeting-reports", status="ACTIVE")\n',
+                    },
+                    {
+                        "type": "typescript",
+                        "sdk": {"package": "vellum-ai", "version": "1.2.1"},
+                        "client": 'import { VellumClient } from "vellum-ai";\n\nconst vellum = VellumClient({\n  apiKey="YOUR_API_KEY"\n})\nvellum.documentIndexes.create({\n  name: "meeting-reports",\n  status: "ACTIVE"\n})\n',
+                    },
+                ]
+            },
+        },
+    }
+    response = client.snippets.load(
+        page=1,
+        org_id="vellum",
+        api_id="vellum-ai",
+        sdks=[Sdk_Python(type="python", package="vellum-ai", version="1.2.1")],
+    )
+    validate_response(response, expected_response)
+
+    async_response = await async_client.snippets.load(
+        page=1,
+        org_id="vellum",
+        api_id="vellum-ai",
+        sdks=[Sdk_Python(type="python", package="vellum-ai", version="1.2.1")],
+    )
+    validate_response(async_response, expected_response)

tests/utilities.py

@@ -0,0 +1,32 @@
+# This file was auto-generated by Fern from our API Definition.
+
+import json
+import typing
+
+try:
+    import pydantic.v1 as pydantic  # type: ignore
+except ImportError:
+    import pydantic  # type: ignore
+
+
+def validate_response(response: typing.Any, json_expectation: typing.Any) -> None:
+    if not isinstance(response, dict) and not issubclass(type(response), pydantic.BaseModel):
+        assert response == json_expectation, "Primitives found, expected: {0}, Actual: {1}".format(
+            json_expectation, response
+        )
+        return
+
+    response_json = response
+    if issubclass(type(response), pydantic.BaseModel):
+        response_json = json.loads(response.json())
+
+    for key, value in json_expectation.items():
+        assert key in response_json
+        if isinstance(value, dict):
+            validate_response(response_json[key], value)
+        else:
+            assert response_json[key] == value
+
+        # Ensure there are no additional fields here either
+        del response_json[key]
+    assert len(response_json) == 0, "Additional fields found, expected None: {0}".format(response_json)