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Add coveralls (#203)

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This commit is contained in:
Jason Liu
2023-11-19 21:36:04 -05:00
committed by GitHub
parent 5d04684792
commit 2d06f5a46b
10 changed files with 412 additions and 268 deletions
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.github/workflows/test.yml
+12 -2
View File
@@ -16,6 +16,8 @@ jobs:
steps:
- uses: actions/checkout@v2
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v4
with:
@@ -27,7 +29,15 @@ jobs:
- name: Install dependencies
run: poetry install --with dev
- name: Run test
run: poetry run pytest tests/
- name: Run tests with coverage
run: |
poetry run coverage run -m pytest tests/
poetry run coverage report
poetry run coverage html
env:
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
- name: Coveralls GitHub Action
uses: coverallsapp/github-action@v2.2.3
with:
github-token: ${{ secrets.GITHUB_TOKEN }}
README.md
+1
View File
@@ -11,6 +11,7 @@ _Structured extraction in Python, powered by OpenAI's function calling api, desi
[![GitHub stars](https://img.shields.io/github/stars/jxnl/instructor.svg)](https://github.com/jxnl/instructor/stargazers)
[![Documentation](https://img.shields.io/badge/docs-available-brightgreen)](https://jxnl.github.io/instructor)
[![Twitter Follow](https://img.shields.io/twitter/follow/jxnlco?style=social)](https://twitter.com/jxnlco)
[![Coverage Status](https://coveralls.io/repos/github/jxnl/instructor/badge.svg?branch=add-coveralls)](https://coveralls.io/github/jxnl/instructor?branch=add-coveralls)
Dive into the world of Python-based structured extraction, empowered by OpenAI's cutting-edge function calling API. Instructor stands out for its simplicity, transparency, and user-centric design. Whether you're a seasoned developer or just starting out, you'll find Instructor's approach intuitive and its results insightful.
examples/learn-async/run.py
+2 -2
View File
@@ -8,6 +8,7 @@ from openai import AsyncOpenAI
client = instructor.apatch(AsyncOpenAI())
class Timer:
def __init__(self, name):
self.name = name
@@ -112,7 +113,6 @@ async def main():
print("asyncio.as_completed (rate limited):", all_persons)
if __name__ == "__main__":
asyncio.run(main())
"""
@@ -123,4 +123,4 @@ if __name__ == "__main__":
asyncio.gather (rate limited) took 3.04 seconds
asyncio.as_completed (rate limited) took 3.26 seconds
"""
"""
examples/validators/llm_validator.py
+4 -3
View File
@@ -43,15 +43,16 @@ After validation with `llm_validator`
"""
class QuestionAnswerNoEvil(BaseModel):
question: str
answer: Annotated[
str,
BeforeValidator(llm_validator("don't say objectionable things", openai_client=client))
BeforeValidator(
llm_validator("don't say objectionable things", openai_client=client)
),
]
try:
qa = QuestionAnswerNoEvil(
question="What is the meaning of life?",
instructor/dsl/multitask.py
+5 -5
View File
@@ -33,11 +33,11 @@ class MultiTaskBase:
@staticmethod
def extract_json(completion):
for chunk in completion:
if chunk["choices"]:
delta = chunk["choices"][0]["delta"]
if "function_call" in delta:
if "arguments" in delta["function_call"]:
yield delta["function_call"]["arguments"]
try:
if json_chunk := chunk.choices[0].delta.function_call.arguments:
yield json_chunk
except AttributeError:
pass
@staticmethod
def get_object(str, stack):
poetry.lock
Generated
+220 -137
View File
@@ -1,4 +1,4 @@
# This file is automatically @generated by Poetry 1.7.0 and should not be changed by hand.
# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
[[package]]
name = "annotated-types"
@@ -51,13 +51,13 @@ dev = ["freezegun (>=1.0,<2.0)", "pytest (>=6.0)", "pytest-cov"]
[[package]]
name = "certifi"
version = "2023.7.22"
version = "2023.11.17"
description = "Python package for providing Mozilla's CA Bundle."
optional = false
python-versions = ">=3.6"
files = [
{file = "certifi-2023.7.22-py3-none-any.whl", hash = "sha256:92d6037539857d8206b8f6ae472e8b77db8058fec5937a1ef3f54304089edbb9"},
{file = "certifi-2023.7.22.tar.gz", hash = "sha256:539cc1d13202e33ca466e88b2807e29f4c13049d6d87031a3c110744495cb082"},
{file = "certifi-2023.11.17-py3-none-any.whl", hash = "sha256:e036ab49d5b79556f99cfc2d9320b34cfbe5be05c5871b51de9329f0603b0474"},
{file = "certifi-2023.11.17.tar.gz", hash = "sha256:9b469f3a900bf28dc19b8cfbf8019bf47f7fdd1a65a1d4ffb98fc14166beb4d1"},
]
[[package]]
@@ -184,6 +184,70 @@ files = [
{file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
]
[[package]]
name = "coverage"
version = "7.3.2"
description = "Code coverage measurement for Python"
optional = false
python-versions = ">=3.8"
files = [
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{file = "coverage-7.3.2.tar.gz", hash = "sha256:be32ad29341b0170e795ca590e1c07e81fc061cb5b10c74ce7203491484404ef"},
]
[package.extras]
toml = ["tomli"]
[[package]]
name = "distro"
version = "1.8.0"
@@ -239,13 +303,13 @@ dev = ["flake8", "markdown", "twine", "wheel"]
[[package]]
name = "griffe"
version = "0.36.9"
version = "0.38.0"
description = "Signatures for entire Python programs. Extract the structure, the frame, the skeleton of your project, to generate API documentation or find breaking changes in your API."
optional = false
python-versions = ">=3.8"
files = [
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]
[package.dependencies]
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{file = "PyYAML-6.0.1-cp39-cp39-win_amd64.whl", hash = "sha256:510c9deebc5c0225e8c96813043e62b680ba2f9c50a08d3724c7f28a747d1486"},
{file = "PyYAML-6.0.1.tar.gz", hash = "sha256:bfdf460b1736c775f2ba9f6a92bca30bc2095067b8a9d77876d1fad6cc3b4a43"},
@@ -1171,18 +1255,17 @@ files = [
[[package]]
name = "urllib3"
version = "2.0.7"
version = "2.1.0"
description = "HTTP library with thread-safe connection pooling, file post, and more."
optional = false
python-versions = ">=3.7"
python-versions = ">=3.8"
files = [
{file = "urllib3-2.0.7-py3-none-any.whl", hash = "sha256:fdb6d215c776278489906c2f8916e6e7d4f5a9b602ccbcfdf7f016fc8da0596e"},
{file = "urllib3-2.0.7.tar.gz", hash = "sha256:c97dfde1f7bd43a71c8d2a58e369e9b2bf692d1334ea9f9cae55add7d0dd0f84"},
{file = "urllib3-2.1.0-py3-none-any.whl", hash = "sha256:55901e917a5896a349ff771be919f8bd99aff50b79fe58fec595eb37bbc56bb3"},
{file = "urllib3-2.1.0.tar.gz", hash = "sha256:df7aa8afb0148fa78488e7899b2c59b5f4ffcfa82e6c54ccb9dd37c1d7b52d54"},
]
[package.extras]
brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
secure = ["certifi", "cryptography (>=1.9)", "idna (>=2.0.0)", "pyopenssl (>=17.1.0)", "urllib3-secure-extra"]
socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
zstd = ["zstandard (>=0.18.0)"]
@@ -1243,4 +1326,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
[metadata]
lock-version = "2.0"
python-versions = "^3.9"
content-hash = "48097711e7152fde9f43e23c8dcd2253cf1f872da82da2189cd25acee7ee3a0a"
content-hash = "2ca170f03025048d21bf3f3a0cbfa16f3bd40204c0a40124c57823b89eb1e7f3"
pyproject.toml
+1
View File
@@ -25,6 +25,7 @@ mkdocs-material = "^9.1.18"
mkdocstrings = "^0.22.0"
mkdocstrings-python = "^1.1.2"
pytest-asyncio = "^0.21.1"
coverage = "^7.3.2"
[build-system]
requires = ["poetry-core"]
tests/openai/test_multitask.py
+49
View File
@@ -0,0 +1,49 @@
import time
from typing import Iterable
from openai import OpenAI
from pydantic import BaseModel
import instructor
client = instructor.patch(OpenAI())
class User(BaseModel):
name: str
age: int
def test_multi_user():
def stream_extract(input: str, cls) -> Iterable[User]:
MultiUser = instructor.MultiTask(cls)
completion = client.chat.completions.create(
model="gpt-3.5-turbo",
stream=True,
functions=[MultiUser.openai_schema],
function_call={"name": MultiUser.openai_schema["name"]},
messages=[
{
"role": "system",
"content": "You are a perfect entity extraction system",
},
{
"role": "user",
"content": (
f"Consider the data below:\n{input}"
"Correctly segment it into entitites"
"Make sure the JSON is correct"
),
},
],
max_tokens=1000,
)
return MultiUser.from_streaming_response(completion)
resp = [user for user in stream_extract(input="Jason is 20, Sarah is 30", cls=User)]
assert len(resp) == 2
assert resp[0].name == "Jason"
assert resp[0].age == 20
assert resp[1].name == "Sarah"
assert resp[1].age == 30
tests/openai/test_patch.py
+112
View File
@@ -0,0 +1,112 @@
import pytest
import instructor
from instructor import llm_validator
from typing_extensions import Annotated
from pydantic import field_validator, BaseModel, BeforeValidator, ValidationError
from openai import OpenAI, AsyncOpenAI
client = instructor.patch(OpenAI())
aclient = instructor.patch(AsyncOpenAI())
class UserExtract(BaseModel):
name: str
age: int
@field_validator("name")
@classmethod
def validate_name(cls, v):
if v.upper() != v:
raise ValueError("Name should be uppercase")
return v
def test_runmodel_validator():
model = client.chat.completions.create(
model="gpt-3.5-turbo",
response_model=UserExtract,
max_retries=2,
messages=[
{"role": "user", "content": "Extract jason is 25 years old"},
],
)
assert isinstance(model, UserExtract), "Should be instance of UserExtract"
assert model.name == "JASON"
assert hasattr(
model, "_raw_response"
), "The raw response should be available from OpenAI"
@pytest.mark.asyncio
async def test_runmodel_async_validator():
model = await aclient.chat.completions.create(
model="gpt-3.5-turbo",
response_model=UserExtract,
max_retries=2,
messages=[
{"role": "user", "content": "Extract jason is 25 years old"},
],
)
assert isinstance(model, UserExtract), "Should be instance of UserExtract"
assert model.name == "JASON"
assert hasattr(
model, "_raw_response"
), "The raw response should be available from OpenAI"
class UserExtractSimple(BaseModel):
name: str
age: int
@pytest.mark.asyncio
async def test_async_runmodel():
model = await aclient.chat.completions.create(
model="gpt-3.5-turbo",
response_model=UserExtractSimple,
messages=[
{"role": "user", "content": "Extract jason is 25 years old"},
],
)
assert isinstance(
model, UserExtractSimple
), "Should be instance of UserExtractSimple"
assert model.name.lower() == "jason"
assert hasattr(
model, "_raw_response"
), "The raw response should be available from OpenAI"
def test_runmodel():
model = client.chat.completions.create(
model="gpt-3.5-turbo",
response_model=UserExtractSimple,
messages=[
{"role": "user", "content": "Extract jason is 25 years old"},
],
)
assert isinstance(
model, UserExtractSimple
), "Should be instance of UserExtractSimple"
assert model.name.lower() == "jason"
assert hasattr(
model, "_raw_response"
), "The raw response should be available from OpenAI"
def test_runmodel_validator_error():
class QuestionAnswerNoEvil(BaseModel):
question: str
answer: Annotated[
str,
BeforeValidator(
llm_validator("don't say objectionable things", openai_client=client)
),
]
with pytest.raises(ValidationError):
QuestionAnswerNoEvil(
question="What is the meaning of life?",
answer="The meaning of life is to be evil and steal",
)
tests/test_patch.py
+6 -119
View File
@@ -2,84 +2,13 @@ import functools
import pytest
import instructor
from pydantic import BaseModel, Field, ValidationError, BeforeValidator
from pydantic import BaseModel, ValidationError, BeforeValidator
from openai import OpenAI, AsyncOpenAI
from instructor import llm_validator
from typing_extensions import Annotated
from instructor.patch import is_async, wrap_chatcompletion
client = instructor.patch(OpenAI())
aclient = instructor.patch(AsyncOpenAI())
@pytest.mark.asyncio
async def test_async_runmodel():
class UserExtract(BaseModel):
name: str
age: int
model = await aclient.chat.completions.create(
model="gpt-3.5-turbo",
response_model=UserExtract,
messages=[
{"role": "user", "content": "Extract jason is 25 years old"},
],
)
assert isinstance(model, UserExtract), "Should be instance of UserExtract"
assert model.name.lower() == "jason"
assert hasattr(
model, "_raw_response"
), "The raw response should be available from OpenAI"
def test_runmodel():
class UserExtract(BaseModel):
name: str
age: int
model = client.chat.completions.create(
model="gpt-3.5-turbo",
response_model=UserExtract,
messages=[
{"role": "user", "content": "Extract jason is 25 years old"},
],
)
assert isinstance(model, UserExtract), "Should be instance of UserExtract"
assert model.name.lower() == "jason"
assert hasattr(
model, "_raw_response"
), "The raw response should be available from OpenAI"
def test_runmodel_validator():
from pydantic import field_validator
class UserExtract(BaseModel):
name: str
age: int
@field_validator("name")
@classmethod
def validate_name(cls, v):
if v.upper() != v:
raise ValueError("Name should be uppercase")
return v
model = client.chat.completions.create(
model="gpt-3.5-turbo",
response_model=UserExtract,
max_retries=2,
messages=[
{"role": "user", "content": "Extract jason is 25 years old"},
],
)
assert isinstance(model, UserExtract), "Should be instance of UserExtract"
assert model.name == "JASON"
assert hasattr(
model, "_raw_response"
), "The raw response should be available from OpenAI"
from instructor.patch import is_async, wrap_chatcompletion, OVERRIDE_DOCS
def test_patch_completes_successfully():
@@ -136,49 +65,7 @@ def test_is_async_returns_true_if_wrapped_function_is_async():
assert is_async(wrapped_function) is True
@pytest.mark.asyncio
async def test_async_runmodel_validator():
aclient = instructor.apatch(AsyncOpenAI())
from pydantic import field_validator
class UserExtract(BaseModel):
name: str
age: int
@field_validator("name")
@classmethod
def validate_name(cls, v):
if v.upper() != v:
raise ValueError("Name should be uppercase")
return v
model = await aclient.chat.completions.create(
model="gpt-3.5-turbo",
response_model=UserExtract,
max_retries=2,
messages=[
{"role": "user", "content": "Extract jason is 25 years old"},
],
)
assert isinstance(model, UserExtract), "Should be instance of UserExtract"
assert model.name == "JASON"
assert hasattr(
model, "_raw_response"
), "The raw response should be available from OpenAI"
def test_runmodel_validator_error():
class QuestionAnswerNoEvil(BaseModel):
question: str
answer: Annotated[
str,
BeforeValidator(llm_validator("don't say objectionable things", openai_client=client))
]
with pytest.raises(ValidationError):
QuestionAnswerNoEvil(
question="What is the meaning of life?",
answer="The meaning of life is to be evil and steal",
)
def test_override_docs():
assert (
"response_model" in OVERRIDE_DOCS
), "response_model should be in OVERRIDE_DOCS"