From 2bc132d6c68f50cf623b14e3c92007e874f411dd Mon Sep 17 00:00:00 2001 From: Wilson Li Date: Tue, 20 May 2025 23:19:02 +0900 Subject: [PATCH] Initial commit --- libs/common/Makefile | 73 + libs/common/README.md | 9 + .../langchain_google_common/__init__.py | 6 + .../functions_utils.py | 279 +++ libs/common/langchain_google_common/py.typed | 0 libs/common/poetry.lock | 2083 +++++++++++++++++ libs/common/pyproject.toml | 61 + libs/common/scripts/check_imports.py | 17 + libs/common/scripts/lint_imports.sh | 17 + .../tests/unit_tests/test_functions_utils.py | 249 ++ 10 files changed, 2794 insertions(+) create mode 100644 libs/common/Makefile create mode 100644 libs/common/README.md create mode 100644 libs/common/langchain_google_common/__init__.py create mode 100644 libs/common/langchain_google_common/functions_utils.py create mode 100644 libs/common/langchain_google_common/py.typed create mode 100644 libs/common/poetry.lock create mode 100644 libs/common/pyproject.toml create mode 100644 libs/common/scripts/check_imports.py create mode 100755 libs/common/scripts/lint_imports.sh create mode 100644 libs/common/tests/unit_tests/test_functions_utils.py diff --git a/libs/common/Makefile b/libs/common/Makefile new file mode 100644 index 000000000..b248768eb --- /dev/null +++ b/libs/common/Makefile @@ -0,0 +1,73 @@ +.PHONY: all format lint test tests integration_tests help + +# Default target executed when no arguments are given to make. +all: help + +# Define a variable for the test file path. +TEST_FILE ?= tests/unit_tests/ + +integration_test integration_tests: TEST_FILE = tests/integration_tests/ + +test tests integration_test integration_tests: + poetry run pytest $(TEST_FILE) + +check_imports: $(shell find langchain_google_common -name '*.py') + poetry run python ./scripts/check_imports.py $^ + +test_watch: + poetry run ptw --snapshot-update --now . -- -vv $(TEST_FILE) + +# Run unit tests and generate a coverage report. +coverage: + poetry run pytest --cov \ + --cov-config=.coveragerc \ + --cov-report xml \ + --cov-report term-missing:skip-covered \ + $(TEST_FILE) + +###################### +# LINTING AND FORMATTING +###################### + +# Define a variable for Python and notebook files. +PYTHON_FILES=. +MYPY_CACHE=.mypy_cache +lint format: PYTHON_FILES=. +lint_diff format_diff: PYTHON_FILES=$(shell git diff --name-only --diff-filter=d main | grep -E '\.py$$|\.ipynb$$') +lint_package: PYTHON_FILES=langchain_google_common +lint_tests: PYTHON_FILES=tests +lint_tests: MYPY_CACHE=.mypy_cache_test + +lint lint_diff lint_package lint_tests: + ./scripts/lint_imports.sh + poetry run ruff check . + poetry run ruff format $(PYTHON_FILES) --diff + poetry run ruff check --select I $(PYTHON_FILES) + mkdir -p $(MYPY_CACHE); poetry run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE) + +format format_diff: + poetry run ruff format $(PYTHON_FILES) + poetry run ruff check --select I --fix $(PYTHON_FILES) + +spell_check: + poetry run codespell --toml pyproject.toml + +spell_fix: + poetry run codespell --toml pyproject.toml -w + +check_imports: $(shell find langchain_google_common -name '*.py') + poetry run python ./scripts/check_imports.py $^ + +###################### +# HELP +###################### + +help: + @echo '----' + @echo 'check_imports - check imports' + @echo 'format - run code formatters' + @echo 'lint - run linters' + @echo 'test - run unit tests' + @echo 'tests - run unit tests' + @echo 'integration_test - run integration tests(NOTE: "export GOOGLE_API_KEY=..." is needed.)' + @echo 'test TEST_FILE= - run all tests in file' diff --git a/libs/common/README.md b/libs/common/README.md new file mode 100644 index 000000000..fa536808e --- /dev/null +++ b/libs/common/README.md @@ -0,0 +1,9 @@ +# langchain-google-common + +This package contains the common modules of LangChain integrations for Google Cloud generative models and Gemini API. + +## Installation + +```bash +pip install -U langchain-google-common +``` diff --git a/libs/common/langchain_google_common/__init__.py b/libs/common/langchain_google_common/__init__.py new file mode 100644 index 000000000..5c0b9bf48 --- /dev/null +++ b/libs/common/langchain_google_common/__init__.py @@ -0,0 +1,6 @@ +"""**LangChain Google Generative AI Integration** + +This module provides common utilities supporting integration of +Google Cloud Vertex AI API and Google Gemini API with the LangChain framework. + +""" diff --git a/libs/common/langchain_google_common/functions_utils.py b/libs/common/langchain_google_common/functions_utils.py new file mode 100644 index 000000000..9663fe0bd --- /dev/null +++ b/libs/common/langchain_google_common/functions_utils.py @@ -0,0 +1,279 @@ +from __future__ import annotations + +import json +import logging +from typing import ( + Any, + Dict, + List, + Optional, + Union, +) + +import google.ai.generativelanguage as glm +import google.cloud.aiplatform_v1beta1.types as gapic +from langchain_core.utils.json_schema import dereference_refs + +logger = logging.getLogger(__name__) + +TYPE_ENUM = { + "string": glm.Type.STRING, + "number": glm.Type.NUMBER, + "integer": glm.Type.INTEGER, + "boolean": glm.Type.BOOLEAN, + "array": glm.Type.ARRAY, + "object": glm.Type.OBJECT, + "null": None, +} + + +_ALLOWED_SCHEMA_FIELDS = [] +_ALLOWED_SCHEMA_FIELDS.extend([f.name for f in gapic.Schema()._pb.DESCRIPTOR.fields]) +_ALLOWED_SCHEMA_FIELDS.extend( + [ + f + for f in gapic.Schema.to_dict( + gapic.Schema(), preserving_proto_field_name=False + ).keys() + ] +) +_ALLOWED_SCHEMA_FIELDS_SET = set(_ALLOWED_SCHEMA_FIELDS) + + +def dict_to_gapic_json_schema( + schema: Dict[str, Any], pydantic_version: str = "v1" +) -> str: + # Resolve refs in schema because $refs and $defs are not supported + # by the Gemini API. + dereferenced_schema = dereference_refs(schema) + + if pydantic_version == "v1": + formatted_schema = _format_json_schema_to_gapic_v1(dereferenced_schema) + else: + formatted_schema = _format_json_schema_to_gapic(dereferenced_schema) + + return json.dumps(formatted_schema) + + +def _format_json_schema_to_gapic_v1(schema: Dict[str, Any]) -> Dict[str, Any]: + """Format a JSON schema from a Pydantic V1 BaseModel to gapic.""" + converted_schema: Dict[str, Any] = {} + for key, value in schema.items(): + if key == "definitions": + continue + elif key == "items": + converted_schema["items"] = _format_json_schema_to_gapic_v1(value) + elif key == "properties": + converted_schema["properties"] = _get_properties_from_schema(value) + continue + elif key in ["type", "_type"]: + converted_schema["type"] = str(value).upper() + elif key == "allOf": + if len(value) > 1: + logger.warning( + "Only first value for 'allOf' key is supported. " + f"Got {len(value)}, ignoring other than first value!" + ) + return _format_json_schema_to_gapic_v1(value[0]) + elif key not in _ALLOWED_SCHEMA_FIELDS_SET: + logger.warning(f"Key '{key}' is not supported in schema, ignoring") + else: + converted_schema[key] = value + return converted_schema + + +def _format_json_schema_to_gapic( + schema: Dict[str, Any], + parent_key: Optional[str] = None, + required_fields: Optional[list] = None, +) -> Dict[str, Any]: + """Format a JSON schema from a Pydantic V2 BaseModel to gapic.""" + converted_schema: Dict[str, Any] = {} + for key, value in schema.items(): + if key == "$defs": + continue + elif key == "items": + converted_schema["items"] = _format_json_schema_to_gapic( + value, parent_key, required_fields + ) + elif key == "properties": + if "properties" not in converted_schema: + converted_schema["properties"] = {} + for pkey, pvalue in value.items(): + converted_schema["properties"][pkey] = _format_json_schema_to_gapic( + pvalue, pkey, schema.get("required", []) + ) + continue + elif key in ["type", "_type"]: + converted_schema["type"] = str(value).upper() + elif key == "allOf": + if len(value) > 1: + logger.warning( + "Only first value for 'allOf' key is supported. " + f"Got {len(value)}, ignoring other than first value!" + ) + return _format_json_schema_to_gapic(value[0], parent_key, required_fields) + elif key == "anyOf": + if len(value) == 2 and any(v.get("type") == "null" for v in value): + non_null_type = next(v for v in value if v.get("type") != "null") + converted_schema.update( + _format_json_schema_to_gapic( + non_null_type, parent_key, required_fields + ) + ) + # Remove the field from required if it exists + if required_fields and parent_key in required_fields: + required_fields.remove(parent_key) + continue + elif key not in _ALLOWED_SCHEMA_FIELDS_SET: + logger.warning(f"Key '{key}' is not supported in schema, ignoring") + else: + converted_schema[key] = value + return converted_schema + + +# Get Properties from Schema +def _get_properties_from_schema_any(schema: Any) -> Dict[str, Any]: + if isinstance(schema, Dict): + return _get_properties_from_schema(schema) + return {} + + +def _get_properties_from_schema(schema: Dict) -> Dict[str, Any]: + properties: Dict[str, Any] = {} + for k, v in schema.items(): + if not isinstance(k, str): + logger.warning(f"Key '{k}' is not supported in schema, type={type(k)}") + continue + if not isinstance(v, Dict): + logger.warning(f"Value '{v}' is not supported in schema, ignoring v={v}") + continue + properties_item: Dict[str, Union[str, int, Dict, List]] = {} + if v.get("type") or v.get("anyOf") or v.get("type_"): + item_type_ = _get_type_from_schema(v) + properties_item["type_"] = item_type_ + if _is_nullable_schema(v): + properties_item["nullable"] = True + + # Replace `v` with chosen definition for array / object json types + any_of_types = v.get("anyOf") + if any_of_types and item_type_ in [glm.Type.ARRAY, glm.Type.OBJECT]: + json_type_ = "array" if item_type_ == glm.Type.ARRAY else "object" + # Use Index -1 for consistency with `_get_nullable_type_from_schema` + v = [val for val in any_of_types if val.get("type") == json_type_][-1] + + if v.get("enum"): + properties_item["enum"] = v["enum"] + + v_title = v.get("title") + if v_title and isinstance(v_title, str): + properties_item["title"] = v_title + + description = v.get("description") + if description and isinstance(description, str): + properties_item["description"] = description + + if properties_item.get("type_") == glm.Type.ARRAY and v.get("items"): + properties_item["items"] = _get_items_from_schema_any(v.get("items")) + + if properties_item.get("type_") == glm.Type.OBJECT: + if ( + v.get("anyOf") + and isinstance(v["anyOf"], list) + and isinstance(v["anyOf"][0], dict) + ): + v = v["anyOf"][0] + v_properties = v.get("properties") + if v_properties: + properties_item["properties"] = _get_properties_from_schema_any( + v_properties + ) + if isinstance(v_properties, dict): + properties_item["required"] = [ + k for k, v in v_properties.items() if "default" not in v + ] + else: + # Providing dummy type for object without properties + properties_item["type_"] = glm.Type.STRING + + if k == "title" and "description" not in properties_item: + properties_item["description"] = k + " is " + str(v) + properties[k] = properties_item + + return properties + + +def _get_items_from_schema_any(schema: Any) -> Dict[str, Any]: + if isinstance(schema, (dict, list, str)): + return _get_items_from_schema(schema) + return {} + + +def _get_items_from_schema(schema: Union[Dict, List, str]) -> Dict[str, Any]: + items: Dict = {} + if isinstance(schema, List): + for i, v in enumerate(schema): + items[f"item{i}"] = _get_properties_from_schema_any(v) + elif isinstance(schema, Dict): + items["type_"] = _get_type_from_schema(schema) + if items["type_"] == glm.Type.OBJECT and "properties" in schema: + items["properties"] = _get_properties_from_schema_any(schema["properties"]) + if items["type_"] == glm.Type.ARRAY and "items" in schema: + items["items"] = _format_json_schema_to_gapic_v1(schema["items"]) + if "title" in schema or "description" in schema: + items["description"] = ( + schema.get("description") or schema.get("title") or "" + ) + if _is_nullable_schema(schema): + items["nullable"] = True + if "required" in schema: + items["required"] = schema["required"] + else: + # str + items["type_"] = _get_type_from_schema({"type": schema}) + if _is_nullable_schema({"type": schema}): + items["nullable"] = True + + return items + + +def _get_type_from_schema(schema: Dict[str, Any]) -> int: + return _get_nullable_type_from_schema(schema) or glm.Type.STRING + + +def _get_nullable_type_from_schema(schema: Dict[str, Any]) -> Optional[int]: + if "anyOf" in schema: + types = [ + _get_nullable_type_from_schema(sub_schema) for sub_schema in schema["anyOf"] + ] + types = [t for t in types if t is not None] # Remove None values + if types: + return types[-1] # TODO: update FunctionDeclaration and pass all types? + else: + pass + elif "type" in schema or "type_" in schema: + type_ = schema["type"] if "type" in schema else schema["type_"] + if isinstance(type_, int): + return type_ + stype = str(schema["type"]) if "type" in schema else str(schema["type_"]) + return TYPE_ENUM.get(stype, glm.Type.STRING) + else: + pass + return glm.Type.STRING # Default to string if no valid types found + + +def _is_nullable_schema(schema: Dict[str, Any]) -> bool: + if "anyOf" in schema: + types = [ + _get_nullable_type_from_schema(sub_schema) for sub_schema in schema["anyOf"] + ] + return any(t is None for t in types) + elif "type" in schema or "type_" in schema: + type_ = schema["type"] if "type" in schema else schema["type_"] + if isinstance(type_, int): + return False + stype = str(schema["type"]) if "type" in schema else str(schema["type_"]) + return TYPE_ENUM.get(stype, glm.Type.STRING) is None + else: + pass + return False diff --git a/libs/common/langchain_google_common/py.typed b/libs/common/langchain_google_common/py.typed new file mode 100644 index 000000000..e69de29bb diff --git a/libs/common/poetry.lock b/libs/common/poetry.lock new file mode 100644 index 000000000..40de17b50 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+lock-version = "2.1" +python-versions = ">=3.9,<4.0" +content-hash = "9385c4e79e4dbb14a0150b6c5def6c6d4dc8a4f4ec3c400c986b9f8ebb633041" diff --git a/libs/common/pyproject.toml b/libs/common/pyproject.toml new file mode 100644 index 000000000..e783f279f --- /dev/null +++ b/libs/common/pyproject.toml @@ -0,0 +1,61 @@ +[tool.poetry] +name = "langchain-google-common" +version = "0.0.1" +description = "" +authors = [] +readme = "README.md" +repository = "https://github.com/langchain-ai/langchain-google" +license = "MIT" + +[tool.poetry.urls] +"Source Code" = "https://github.com/langchain-ai/langchain-google/tree/main/libs/common" + +[tool.poetry.dependencies] +python = ">=3.9,<4.0" +langchain-core = ">=0.3.55,<0.4" +google-cloud-aiplatform = "^1.92.0" +google-ai-generativelanguage = "^0.6.18" +pydantic = "^2.9" + +[tool.poetry.group.test] +optional = true + +[tool.poetry.group.test.dependencies] +pytest = "^7.3.0" +syrupy = "^4.0.2" + +[tool.poetry.group.lint] +optional = true + +[tool.poetry.group.lint.dependencies] +ruff = "^0.1.5" + +[tool.poetry.group.typing.dependencies] +mypy = "^1" +types-google-cloud-ndb = "^2.2.0.20240106" +types-protobuf = "^4.24.0.4" +types-requests = "^2.31.0" + +[tool.ruff.lint] +select = [ + "E", # pycodestyle + "F", # pyflakes + "I", # isort +] + +[tool.mypy] +check_untyped_defs = true +error_summary = false +pretty = true +show_column_numbers = true +show_error_codes = true +show_error_context = true +warn_redundant_casts = true +warn_unreachable = true +warn_unused_configs = true +warn_unused_ignores = true + +[build-system] +requires = ["poetry-core>=1.0.0"] +build-backend = "poetry.core.masonry.api" + diff --git a/libs/common/scripts/check_imports.py b/libs/common/scripts/check_imports.py new file mode 100644 index 000000000..fd21a4975 --- /dev/null +++ b/libs/common/scripts/check_imports.py @@ -0,0 +1,17 @@ +import sys +import traceback +from importlib.machinery import SourceFileLoader + +if __name__ == "__main__": + files = sys.argv[1:] + has_failure = False + for file in files: + try: + SourceFileLoader("x", file).load_module() + except Exception: + has_faillure = True + print(file) + traceback.print_exc() + print() + + sys.exit(1 if has_failure else 0) diff --git a/libs/common/scripts/lint_imports.sh b/libs/common/scripts/lint_imports.sh new file mode 100755 index 000000000..695613c7b --- /dev/null +++ b/libs/common/scripts/lint_imports.sh @@ -0,0 +1,17 @@ +#!/bin/bash + +set -eu + +# Initialize a variable to keep track of errors +errors=0 + +# make sure not importing from langchain or langchain_experimental +git --no-pager grep '^from langchain\.' . && errors=$((errors+1)) +git --no-pager grep '^from langchain_experimental\.' . && errors=$((errors+1)) + +# Decide on an exit status based on the errors +if [ "$errors" -gt 0 ]; then + exit 1 +else + exit 0 +fi diff --git a/libs/common/tests/unit_tests/test_functions_utils.py b/libs/common/tests/unit_tests/test_functions_utils.py new file mode 100644 index 000000000..4b4197810 --- /dev/null +++ b/libs/common/tests/unit_tests/test_functions_utils.py @@ -0,0 +1,249 @@ +import json +from enum import Enum +from typing import Optional, Sequence, Union, cast + +import google.cloud.aiplatform_v1beta1.types as gapic +from langchain_core.utils.json_schema import dereference_refs +from pydantic import BaseModel, Field +from pydantic.v1 import ( + BaseModel as BaseModelV1, +) +from pydantic.v1 import ( + Field as FieldV1, +) + +from langchain_google_common.functions_utils import ( + _format_json_schema_to_gapic, + _format_json_schema_to_gapic_v1, +) + + +def test_format_json_schema_to_gapic(): + # Simple case + class RecordPerson(BaseModel): + """Record some identifying information about a person.""" + + name: str + age: Optional[int] + + schema = RecordPerson.model_json_schema() + result = _format_json_schema_to_gapic(schema) + expected = { + "title": "RecordPerson", + "type": "OBJECT", + "description": "Record some identifying information about a person.", + "properties": { + "name": {"title": "Name", "type": "STRING"}, + "age": {"type": "INTEGER", "title": "Age"}, + }, + "required": ["name"], + } + assert result == expected + + # Nested case + class StringEnum(str, Enum): + pear = "pear" + banana = "banana" + + class A(BaseModel): + """Class A""" + + int_field: Optional[int] + + class B(BaseModel): + object_field: Optional[A] = Field(description="Class A") + array_field: Sequence[A] + int_field: int = Field(description="int field", ge=1, le=10) + str_field: str = Field( + min_length=1, + max_length=10, + pattern="^[A-Z]{1,10}$", + json_schema_extra={"example": "ABCD"}, + ) + str_enum_field: StringEnum + + schema = B.model_json_schema() + result = _format_json_schema_to_gapic(dereference_refs(schema)) + + expected = { + "properties": { + "object_field": { + "description": "Class A", + "properties": {"int_field": {"type": "INTEGER", "title": "Int Field"}}, + "required": [], + "title": "A", + "type": "OBJECT", + }, + "array_field": { + "items": { + "description": "Class A", + "properties": { + "int_field": {"type": "INTEGER", "title": "Int Field"} + }, + "required": [], + "title": "A", + "type": "OBJECT", + }, + "type": "ARRAY", + "title": "Array Field", + }, + "int_field": { + "description": "int field", + "maximum": 10, + "minimum": 1, + "title": "Int Field", + "type": "INTEGER", + }, + "str_field": { + "example": "ABCD", + "maxLength": 10, + "minLength": 1, + "pattern": "^[A-Z]{1,10}$", + "title": "Str Field", + "type": "STRING", + }, + "str_enum_field": { + "enum": ["pear", "banana"], + "title": "StringEnum", + "type": "STRING", + }, + }, + "type": "OBJECT", + "title": "B", + "required": ["array_field", "int_field", "str_field", "str_enum_field"], + } + assert result == expected + + gapic_schema = cast(gapic.Schema, gapic.Schema.from_json(json.dumps(result))) + assert gapic_schema.type_ == gapic.Type.OBJECT + assert gapic_schema.title == expected["title"] + assert gapic_schema.required == expected["required"] + assert ( + gapic_schema.properties["str_field"].example + == expected["properties"]["str_field"]["example"] # type: ignore + ) + + +def test_format_json_schema_to_gapic_v1(): + # Simple case + class RecordPerson(BaseModelV1): + """Record some identifying information about a person.""" + + name: str + age: Optional[int] + + schema = RecordPerson.schema() + result = _format_json_schema_to_gapic_v1(schema) + expected = { + "title": "RecordPerson", + "type": "OBJECT", + "description": "Record some identifying information about a person.", + "properties": { + "name": {"title": "Name", "type": "STRING"}, + "age": {"type": "INTEGER", "title": "Age"}, + }, + "required": ["name"], + } + assert result == expected + + # Nested case + class StringEnum(str, Enum): + pear = "pear" + banana = "banana" + + class A(BaseModelV1): + """Class A""" + + int_field: Optional[int] + + class B(BaseModelV1): + object_field: Optional[A] = FieldV1(description="Class A") + array_field: Sequence[A] + int_field: int = FieldV1(description="int field", minimum=1, maximum=10) + str_field: str = FieldV1( + min_length=1, max_length=10, pattern="^[A-Z]{1,10}$", example="ABCD" + ) + str_enum_field: StringEnum + + schema = B.schema() + result = _format_json_schema_to_gapic_v1(dereference_refs(schema)) + + expected = { + "properties": { + "object_field": { + "description": "Class A", + "properties": {"int_field": {"type": "INTEGER", "title": "Int Field"}}, + "title": "A", + "type": "OBJECT", + }, + "array_field": { + "items": { + "description": "Class A", + "properties": { + "int_field": {"type": "INTEGER", "title": "Int Field"} + }, + "title": "A", + "type": "OBJECT", + }, + "type": "ARRAY", + "title": "Array Field", + }, + "int_field": { + "description": "int field", + "maximum": 10.0, + "minimum": 1.0, + "title": "Int Field", + "type": "INTEGER", + }, + "str_field": { + "example": "ABCD", + "maxLength": 10, + "minLength": 1, + "pattern": "^[A-Z]{1,10}$", + "title": "Str Field", + "type": "STRING", + }, + "str_enum_field": { + "description": "An enumeration.", + "enum": ["pear", "banana"], + "title": "StringEnum", + "type": "STRING", + }, + }, + "type": "OBJECT", + "title": "B", + "required": ["array_field", "int_field", "str_field", "str_enum_field"], + } + assert result == expected + + gapic_schema = cast(gapic.Schema, gapic.Schema.from_json(json.dumps(result))) + assert gapic_schema.type_ == gapic.Type.OBJECT + assert gapic_schema.title == expected["title"] + assert gapic_schema.required == expected["required"] + assert ( + gapic_schema.properties["str_field"].example + == expected["properties"]["str_field"]["example"] # type: ignore + ) + + +def test_format_json_schema_to_gapic_union_types() -> None: + """Test that union types are consistent between v1 and v2.""" + + class RecordPerson_v1(BaseModelV1): + name: str + age: Union[int, str] + + class RecordPerson(BaseModel): + name: str + age: Union[int, str] + + schema_v1 = RecordPerson_v1.schema() + schema_v2 = RecordPerson.model_json_schema() + del schema_v2 + + result_v1 = _format_json_schema_to_gapic_v1(schema_v1) + # result_v2 = _format_json_schema_to_gapic(schema_v2) + result_v1["title"] = "RecordPerson" + + # TODO: add a proper support for Union since it has finally arrived! + # assert result_v1 == result_v2