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https://github.com/kennethreitz/instructor.git
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Jason Liu
108 lines
3.0 KiB
Python
108 lines
3.0 KiB
Python
import pytest
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from pydantic import BaseModel
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from openai import OpenAI, AsyncOpenAI
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import instructor
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client = instructor.patch(OpenAI())
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aclient = instructor.apatch(AsyncOpenAI())
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@pytest.mark.asyncio
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async def test_async_runmodel():
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class UserExtract(BaseModel):
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name: str
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age: int
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model = await aclient.chat.completions.create(
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model="gpt-3.5-turbo",
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response_model=UserExtract,
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messages=[
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{"role": "user", "content": "Extract jason is 25 years old"},
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],
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)
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assert isinstance(model, UserExtract), "Should be instance of UserExtract"
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assert model.name.lower() == "jason"
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assert hasattr(
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model, "_raw_response"
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), "The raw response should be available from OpenAI"
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def test_runmodel():
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class UserExtract(BaseModel):
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name: str
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age: int
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model = client.chat.completions.create(
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model="gpt-3.5-turbo",
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response_model=UserExtract,
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messages=[
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{"role": "user", "content": "Extract jason is 25 years old"},
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],
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)
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assert isinstance(model, UserExtract), "Should be instance of UserExtract"
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assert model.name.lower() == "jason"
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assert hasattr(
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model, "_raw_response"
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), "The raw response should be available from OpenAI"
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def test_runmodel_validator():
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from pydantic import field_validator
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class UserExtract(BaseModel):
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name: str
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age: int
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@field_validator("name")
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@classmethod
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def validate_name(cls, v):
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if v.upper() != v:
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raise ValueError("Name should be uppercase")
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return v
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model = client.chat.completions.create(
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model="gpt-3.5-turbo",
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response_model=UserExtract,
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max_retries=2,
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messages=[
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{"role": "user", "content": "Extract jason is 25 years old"},
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],
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)
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assert isinstance(model, UserExtract), "Should be instance of UserExtract"
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assert model.name == "JASON"
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assert hasattr(
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model, "_raw_response"
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), "The raw response should be available from OpenAI"
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@pytest.mark.asyncio
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async def test_async_runmodel_validator():
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aclient = instructor.apatch(AsyncOpenAI())
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from pydantic import field_validator
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class UserExtract(BaseModel):
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name: str
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age: int
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@field_validator("name")
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@classmethod
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def validate_name(cls, v):
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if v.upper() != v:
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raise ValueError("Name should be uppercase")
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return v
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model = await aclient.chat.completions.create(
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model="gpt-3.5-turbo",
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response_model=UserExtract,
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max_retries=2,
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messages=[
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{"role": "user", "content": "Extract jason is 25 years old"},
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],
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)
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assert isinstance(model, UserExtract), "Should be instance of UserExtract"
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assert model.name == "JASON"
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assert hasattr(
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model, "_raw_response"
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), "The raw response should be available from OpenAI"
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