multiple: pydantic 2 compatibility, v0.3 (#26443)

Signed-off-by: ChengZi <chen.zhang@zilliz.com>
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Dan O'Donovan <dan.odonovan@gmail.com>
Co-authored-by: Tom Daniel Grande <tomdgrande@gmail.com>
Co-authored-by: Grande <Tom.Daniel.Grande@statsbygg.no>
Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: ccurme <chester.curme@gmail.com>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
Co-authored-by: Tomaz Bratanic <bratanic.tomaz@gmail.com>
Co-authored-by: ZhangShenao <15201440436@163.com>
Co-authored-by: Friso H. Kingma <fhkingma@gmail.com>
Co-authored-by: ChengZi <chen.zhang@zilliz.com>
Co-authored-by: Nuno Campos <nuno@langchain.dev>
Co-authored-by: Morgante Pell <morgantep@google.com>
This commit is contained in:
Erick Friis
2024-09-13 14:38:45 -07:00
committed by GitHub
parent d9813bdbbc
commit c2a3021bb0
1402 changed files with 38318 additions and 30410 deletions

View File

@@ -16,10 +16,10 @@ from langchain_core.messages import (
)
from langchain_core.output_parsers import StrOutputParser
from langchain_core.prompts import ChatPromptTemplate
from langchain_core.pydantic_v1 import BaseModel, Field
from langchain_core.tools import tool
from pydantic import BaseModel as RawBaseModel
from pydantic import Field as RawField
from pydantic import BaseModel, Field
from pydantic.v1 import BaseModel as BaseModelV1
from pydantic.v1 import Field as FieldV1
from langchain_standard_tests.unit_tests.chat_models import (
ChatModelTests,
@@ -28,8 +28,8 @@ from langchain_standard_tests.unit_tests.chat_models import (
from langchain_standard_tests.utils.pydantic import PYDANTIC_MAJOR_VERSION
class MagicFunctionSchema(RawBaseModel):
input: int = RawField(..., gt=-1000, lt=1000)
class MagicFunctionSchema(BaseModel):
input: int = Field(..., gt=-1000, lt=1000)
@tool(args_schema=MagicFunctionSchema)
@@ -240,14 +240,11 @@ class ChatModelIntegrationTests(ChatModelTests):
if not self.has_tool_calling:
pytest.skip("Test requires tool calling.")
from pydantic import BaseModel as BaseModelProper
from pydantic import Field as FieldProper
class Joke(BaseModelProper):
class Joke(BaseModel):
"""Joke to tell user."""
setup: str = FieldProper(description="question to set up a joke")
punchline: str = FieldProper(description="answer to resolve the joke")
setup: str = Field(description="question to set up a joke")
punchline: str = Field(description="answer to resolve the joke")
# Pydantic class
# Type ignoring since the interface only officially supports pydantic 1
@@ -280,11 +277,11 @@ class ChatModelIntegrationTests(ChatModelTests):
if not self.has_tool_calling:
pytest.skip("Test requires tool calling.")
class Joke(BaseModel): # Uses langchain_core.pydantic_v1.BaseModel
class Joke(BaseModelV1): # Uses langchain_core.pydantic_v1.BaseModel
"""Joke to tell user."""
setup: str = Field(description="question to set up a joke")
punchline: str = Field(description="answer to resolve the joke")
setup: str = FieldV1(description="question to set up a joke")
punchline: str = FieldV1(description="answer to resolve the joke")
# Pydantic class
chat = model.with_structured_output(Joke)
@@ -305,6 +302,28 @@ class ChatModelIntegrationTests(ChatModelTests):
assert isinstance(chunk, dict) # for mypy
assert set(chunk.keys()) == {"setup", "punchline"}
def test_structured_output_optional_param(self, model: BaseChatModel) -> None:
"""Test to verify structured output with an optional param."""
if not self.has_tool_calling:
pytest.skip("Test requires tool calling.")
class Joke(BaseModel):
"""Joke to tell user."""
setup: str = Field(description="question to set up a joke")
punchline: Optional[str] = Field(
default=None, description="answer to resolve the joke"
)
chat = model.with_structured_output(Joke) # type: ignore[arg-type]
setup_result = chat.invoke(
"Give me the setup to a joke about cats, no punchline."
)
assert isinstance(setup_result, Joke)
joke_result = chat.invoke("Give me a joke about cats, include the punchline.")
assert isinstance(joke_result, Joke)
def test_tool_message_histories_string_content(self, model: BaseChatModel) -> None:
"""
Test that message histories are compatible with string tool contents
@@ -439,7 +458,7 @@ class ChatModelIntegrationTests(ChatModelTests):
if not self.supports_anthropic_inputs:
return
class color_picker(BaseModel):
class color_picker(BaseModelV1):
"""Input your fav color and get a random fact about it."""
fav_color: str

View File

@@ -1,4 +1,5 @@
"""Unit tests for chat models."""
import os
from abc import abstractmethod
from typing import Any, List, Literal, Optional, Tuple, Type
@@ -7,9 +8,18 @@ from unittest import mock
import pytest
from langchain_core.language_models import BaseChatModel
from langchain_core.load import dumpd, load
from langchain_core.pydantic_v1 import BaseModel, Field, SecretStr
from langchain_core.runnables import RunnableBinding
from langchain_core.tools import tool
from pydantic import BaseModel, Field, SecretStr
from pydantic.v1 import (
BaseModel as BaseModelV1,
)
from pydantic.v1 import (
Field as FieldV1,
)
from pydantic.v1 import (
ValidationError as ValidationErrorV1,
)
from syrupy import SnapshotAssertion
from langchain_standard_tests.base import BaseStandardTests
@@ -27,27 +37,24 @@ def generate_schema_pydantic_v1_from_2() -> Any:
"""Use to generate a schema from v1 namespace in pydantic 2."""
if PYDANTIC_MAJOR_VERSION != 2:
raise AssertionError("This function is only compatible with Pydantic v2.")
from pydantic.v1 import BaseModel, Field
class PersonB(BaseModel):
class PersonB(BaseModelV1):
"""Record attributes of a person."""
name: str = Field(..., description="The name of the person.")
age: int = Field(..., description="The age of the person.")
name: str = FieldV1(..., description="The name of the person.")
age: int = FieldV1(..., description="The age of the person.")
return PersonB
def generate_schema_pydantic() -> Any:
"""Works with either pydantic 1 or 2"""
from pydantic import BaseModel as BaseModelProper
from pydantic import Field as FieldProper
class PersonA(BaseModelProper):
class PersonA(BaseModel):
"""Record attributes of a person."""
name: str = FieldProper(..., description="The name of the person.")
age: int = FieldProper(..., description="The age of the person.")
name: str = Field(..., description="The name of the person.")
age: int = Field(..., description="The age of the person.")
return PersonA
@@ -181,7 +188,12 @@ class ChatModelUnitTests(ChatModelTests):
tools = [my_adder_tool, my_adder]
for pydantic_model in TEST_PYDANTIC_MODELS:
tools.extend([pydantic_model, pydantic_model.schema()])
model_schema = (
pydantic_model.model_json_schema()
if hasattr(pydantic_model, "model_json_schema")
else pydantic_model.schema()
)
tools.extend([pydantic_model, model_schema])
# Doing a mypy ignore here since some of the tools are from pydantic
# BaseModel 2 which isn't typed properly yet. This will need to be fixed
@@ -201,9 +213,7 @@ class ChatModelUnitTests(ChatModelTests):
assert model.with_structured_output(schema) is not None
def test_standard_params(self, model: BaseChatModel) -> None:
from langchain_core.pydantic_v1 import BaseModel, ValidationError
class ExpectedParams(BaseModel):
class ExpectedParams(BaseModelV1):
ls_provider: str
ls_model_name: str
ls_model_type: Literal["chat"]
@@ -214,7 +224,7 @@ class ChatModelUnitTests(ChatModelTests):
ls_params = model._get_ls_params()
try:
ExpectedParams(**ls_params)
except ValidationError as e:
except ValidationErrorV1 as e:
pytest.fail(f"Validation error: {e}")
# Test optional params
@@ -224,7 +234,7 @@ class ChatModelUnitTests(ChatModelTests):
ls_params = model._get_ls_params()
try:
ExpectedParams(**ls_params)
except ValidationError as e:
except ValidationErrorV1 as e:
pytest.fail(f"Validation error: {e}")
def test_serdes(self, model: BaseChatModel, snapshot: SnapshotAssertion) -> None:

View File

@@ -5,7 +5,7 @@ from unittest import mock
import pytest
from langchain_core.embeddings import Embeddings
from langchain_core.pydantic_v1 import SecretStr
from pydantic import SecretStr
from langchain_standard_tests.base import BaseStandardTests

View File

@@ -11,9 +11,6 @@ files = [
{file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
]
[package.dependencies]
typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.9\""}
[[package]]
name = "anyio"
version = "4.4.0"
@@ -294,21 +291,18 @@ files = [
[[package]]
name = "langchain-core"
version = "0.2.38"
version = "0.3.0.dev4"
description = "Building applications with LLMs through composability"
optional = false
python-versions = ">=3.8.1,<4.0"
python-versions = ">=3.9,<4.0"
files = []
develop = true
[package.dependencies]
jsonpatch = "^1.33"
langsmith = "^0.1.75"
langsmith = "^0.1.112"
packaging = ">=23.2,<25"
pydantic = [
{version = ">=1,<3", markers = "python_full_version < \"3.12.4\""},
{version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
]
pydantic = "^2.7.4"
PyYAML = ">=5.3"
tenacity = "^8.1.0,!=8.4.0"
typing-extensions = ">=4.7"
@@ -319,21 +313,21 @@ url = "../core"
[[package]]
name = "langsmith"
version = "0.1.111"
version = "0.1.117"
description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
{file = "langsmith-0.1.111-py3-none-any.whl", hash = "sha256:e5c702764911193c9812fe55136ae01cd0b9ddf5dff0b068ce6fd60eeddbcb40"},
{file = "langsmith-0.1.111.tar.gz", hash = "sha256:bab24fd6125685f588d682693c4a3253e163804242829b1ff902e1a3e984a94c"},
{file = "langsmith-0.1.117-py3-none-any.whl", hash = "sha256:e936ee9bcf8293b0496df7ba462a3702179fbe51f9dc28744b0fbec0dbf206ae"},
{file = "langsmith-0.1.117.tar.gz", hash = "sha256:a1b532f49968b9339bcaff9118d141846d52ed3d803f342902e7448edf1d662b"},
]
[package.dependencies]
httpx = ">=0.23.0,<1"
orjson = ">=3.9.14,<4.0.0"
pydantic = [
{version = ">=1,<3", markers = "python_full_version < \"3.12.4\""},
{version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
{version = ">=1,<3", markers = "python_full_version < \"3.12.4\""},
]
requests = ">=2,<3"
@@ -492,122 +486,123 @@ testing = ["pytest", "pytest-benchmark"]
[[package]]
name = "pydantic"
version = "2.8.2"
version = "2.9.1"
description = "Data validation using Python type hints"
optional = false
python-versions = ">=3.8"
files = [
{file = "pydantic-2.8.2-py3-none-any.whl", hash = "sha256:73ee9fddd406dc318b885c7a2eab8a6472b68b8fb5ba8150949fc3db939f23c8"},
{file = "pydantic-2.8.2.tar.gz", hash = "sha256:6f62c13d067b0755ad1c21a34bdd06c0c12625a22b0fc09c6b149816604f7c2a"},
{file = "pydantic-2.9.1-py3-none-any.whl", hash = "sha256:7aff4db5fdf3cf573d4b3c30926a510a10e19a0774d38fc4967f78beb6deb612"},
{file = "pydantic-2.9.1.tar.gz", hash = "sha256:1363c7d975c7036df0db2b4a61f2e062fbc0aa5ab5f2772e0ffc7191a4f4bce2"},
]
[package.dependencies]
annotated-types = ">=0.4.0"
pydantic-core = "2.20.1"
annotated-types = ">=0.6.0"
pydantic-core = "2.23.3"
typing-extensions = [
{version = ">=4.6.1", markers = "python_version < \"3.13\""},
{version = ">=4.12.2", markers = "python_version >= \"3.13\""},
{version = ">=4.6.1", markers = "python_version < \"3.13\""},
]
[package.extras]
email = ["email-validator (>=2.0.0)"]
timezone = ["tzdata"]
[[package]]
name = "pydantic-core"
version = "2.20.1"
version = "2.23.3"
description = "Core functionality for Pydantic validation and serialization"
optional = false
python-versions = ">=3.8"
files = [
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]
[package.dependencies]
@@ -615,13 +610,13 @@ typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
[[package]]
name = "pytest"
version = "8.3.2"
version = "8.3.3"
description = "pytest: simple powerful testing with Python"
optional = false
python-versions = ">=3.8"
files = [
{file = "pytest-8.3.2-py3-none-any.whl", hash = "sha256:4ba08f9ae7dcf84ded419494d229b48d0903ea6407b030eaec46df5e6a73bba5"},
{file = "pytest-8.3.2.tar.gz", hash = "sha256:c132345d12ce551242c87269de812483f5bcc87cdbb4722e48487ba194f9fdce"},
{file = "pytest-8.3.3-py3-none-any.whl", hash = "sha256:a6853c7375b2663155079443d2e45de913a911a11d669df02a50814944db57b2"},
{file = "pytest-8.3.3.tar.gz", hash = "sha256:70b98107bd648308a7952b06e6ca9a50bc660be218d53c257cc1fc94fda10181"},
]
[package.dependencies]
@@ -843,5 +838,5 @@ zstd = ["zstandard (>=0.18.0)"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.8.1,<4.0"
content-hash = "116b117030bb7084399b2157a0b2b8fa5facffd53df8a5f7dea62263cd18349b"
python-versions = ">=3.9,<4.0"
content-hash = "22c1c9b3fe4a45afb1baf05e3757a6e5cc502388e02c4452b13cbf266a61165d"

View File

@@ -11,8 +11,8 @@ license = "MIT"
"Source Code" = "https://github.com/langchain-ai/langchain/tree/master/libs/standard-tests"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
langchain-core = ">=0.1.40,<0.3"
python = ">=3.9,<4.0"
langchain-core = { version = ">=0.3.0.dev1", allow-prereleases = true }
pytest = ">=7,<9"
httpx = "^0.27.0"
syrupy = "^4"
@@ -47,10 +47,10 @@ langchain-core = { path = "../core", develop = true }
[tool.ruff.lint]
select = [
"E", # pycodestyle
"F", # pyflakes
"I", # isort
"T201", # print
"E", # pycodestyle
"F", # pyflakes
"I", # isort
"T201", # print
]
[tool.mypy]

View File

@@ -1,31 +0,0 @@
#!/bin/bash
#
# This script searches for lines starting with "import pydantic" or "from pydantic"
# in tracked files within a Git repository.
#
# Usage: ./scripts/check_pydantic.sh /path/to/repository
# Check if a path argument is provided
if [ $# -ne 1 ]; then
echo "Usage: $0 /path/to/repository"
exit 1
fi
repository_path="$1"
# Search for lines matching the pattern within the specified repository
result=$(
git -C "$repository_path" grep -E '^[[:space:]]*import pydantic|^[[:space:]]*from pydantic' \
-- ':!langchain_core/pydantic_*' ':!langchain_core/utils' | grep -v 'pydantic: ignore'
)
# Check if any matching lines were found
if [ -n "$result" ]; then
echo "ERROR: The following lines need to be updated:"
echo "$result"
echo "Please replace the code with an import from langchain_core.pydantic_v1."
echo "For example, replace 'from pydantic import BaseModel'"
echo "with 'from langchain_core.pydantic_v1 import BaseModel'"
echo "If this was intentional, you can add # pydantic: ignore after the import to ignore this error."
exit 1
fi