From 2df5dab80d8b42e501dd4e1e94e8c3f3d93ba21d Mon Sep 17 00:00:00 2001 From: Prashanth Rao <35005448+prrao87@users.noreply.github.com> Date: Fri, 3 Jan 2025 17:48:02 -0500 Subject: [PATCH] Migrate Python integration package to independent repo (#1) * Update .gitignore * Update doc * Add code and tests * Fix lints and formatting * Fix unused imports and paths * Fix linting and mypy errors * Fix paths and makefile * Fix lint error for py39 * Fix type inheritance for pydantic validator * Add docs * Fix lint error * Fix bug with schema * Update build workflow * Pass mypy * Fix lint * Remove integration tests --- .github/scripts/check_diff.py | 2 +- .github/scripts/get_min_versions.py | 2 +- .../workflows/_compile_integration_test.yml | 55 - .github/workflows/_release.yml | 16 +- .github/workflows/check_diffs.yml | 13 +- .gitignore | 3 + README.md | 71 +- libs/kuzu/Makefile | 64 + libs/kuzu/README.md | 158 ++ libs/kuzu/langchain_kuzu/__init__.py | 17 + .../chains/graph_qa/__init__.py | 0 .../langchain_kuzu/chains/graph_qa/kuzu.py | 197 ++ .../langchain_kuzu/chains/graph_qa/prompts.py | 57 + .../langchain_kuzu/graphs/graph_document.py | 51 + .../kuzu/langchain_kuzu/graphs/graph_store.py | 37 + libs/kuzu/langchain_kuzu/graphs/kuzu_graph.py | 267 +++ libs/kuzu/poetry.lock | 2022 +++++++++++++++++ libs/kuzu/pyproject.toml | 92 + libs/kuzu/scripts/check_imports.py | 17 + libs/kuzu/scripts/lint_imports.sh | 18 + libs/kuzu/tests/__init__.py | 0 libs/kuzu/tests/llms/__init__.py | 0 libs/kuzu/tests/llms/fake_llm.py | 64 + libs/kuzu/tests/unit_tests/chains/__init__.py | 0 .../tests/unit_tests/chains/test_graph_qa.py | 205 ++ libs/kuzu/tests/unit_tests/graphs/__init__.py | 0 .../unit_tests/graphs/test_kuzu_graph.py | 164 ++ libs/kuzu/tests/unit_tests/test_imports.py | 11 + 28 files changed, 3458 insertions(+), 145 deletions(-) delete mode 100644 .github/workflows/_compile_integration_test.yml create mode 100644 libs/kuzu/Makefile create mode 100644 libs/kuzu/README.md create mode 100644 libs/kuzu/langchain_kuzu/__init__.py create mode 100644 libs/kuzu/langchain_kuzu/chains/graph_qa/__init__.py create mode 100644 libs/kuzu/langchain_kuzu/chains/graph_qa/kuzu.py create mode 100644 libs/kuzu/langchain_kuzu/chains/graph_qa/prompts.py create mode 100644 libs/kuzu/langchain_kuzu/graphs/graph_document.py create mode 100644 libs/kuzu/langchain_kuzu/graphs/graph_store.py create mode 100644 libs/kuzu/langchain_kuzu/graphs/kuzu_graph.py create mode 100644 libs/kuzu/poetry.lock create mode 100644 libs/kuzu/pyproject.toml create mode 100644 libs/kuzu/scripts/check_imports.py create mode 100644 libs/kuzu/scripts/lint_imports.sh create mode 100644 libs/kuzu/tests/__init__.py create mode 100644 libs/kuzu/tests/llms/__init__.py create mode 100644 libs/kuzu/tests/llms/fake_llm.py create mode 100644 libs/kuzu/tests/unit_tests/chains/__init__.py create mode 100644 libs/kuzu/tests/unit_tests/chains/test_graph_qa.py create mode 100644 libs/kuzu/tests/unit_tests/graphs/__init__.py create mode 100644 libs/kuzu/tests/unit_tests/graphs/test_kuzu_graph.py create mode 100644 libs/kuzu/tests/unit_tests/test_imports.py diff --git a/.github/scripts/check_diff.py b/.github/scripts/check_diff.py index 0fcb163..0f2dc54 100644 --- a/.github/scripts/check_diff.py +++ b/.github/scripts/check_diff.py @@ -2,7 +2,7 @@ import sys from typing import Dict -LIB_DIRS = ["libs/{lib}"] +LIB_DIRS = ["libs/kuzu"] if __name__ == "__main__": files = sys.argv[1:] diff --git a/.github/scripts/get_min_versions.py b/.github/scripts/get_min_versions.py index 46e74c9..9f84095 100644 --- a/.github/scripts/get_min_versions.py +++ b/.github/scripts/get_min_versions.py @@ -1,8 +1,8 @@ +import re import sys import tomllib from packaging.version import parse as parse_version -import re MIN_VERSION_LIBS = ["langchain-core"] diff --git a/.github/workflows/_compile_integration_test.yml b/.github/workflows/_compile_integration_test.yml deleted file mode 100644 index 6f0d790..0000000 --- a/.github/workflows/_compile_integration_test.yml +++ /dev/null @@ -1,55 +0,0 @@ -name: compile-integration-test - -on: - workflow_call: - inputs: - working-directory: - required: true - type: string - description: "From which folder this pipeline executes" - -env: - POETRY_VERSION: "1.7.1" - -jobs: - build: - defaults: - run: - working-directory: ${{ inputs.working-directory }} - runs-on: ubuntu-latest - strategy: - matrix: - python-version: - - "3.9" - - "3.12" - name: "poetry run pytest -m compile tests/integration_tests #${{ matrix.python-version }}" - steps: - - uses: actions/checkout@v4 - - - name: Set up Python ${{ matrix.python-version }} + Poetry ${{ env.POETRY_VERSION }} - uses: "./.github/actions/poetry_setup" - with: - python-version: ${{ matrix.python-version }} - poetry-version: ${{ env.POETRY_VERSION }} - working-directory: ${{ inputs.working-directory }} - cache-key: compile-integration - - - name: Install integration dependencies - shell: bash - run: poetry install --with=test_integration,test - - - name: Check integration tests compile - shell: bash - run: poetry run pytest -m compile tests/integration_tests - - - name: Ensure the tests did not create any additional files - shell: bash - run: | - set -eu - - STATUS="$(git status)" - echo "$STATUS" - - # grep will exit non-zero if the target message isn't found, - # and `set -e` above will cause the step to fail. - echo "$STATUS" | grep 'nothing to commit, working tree clean' diff --git a/.github/workflows/_release.yml b/.github/workflows/_release.yml index cc4251f..591a332 100644 --- a/.github/workflows/_release.yml +++ b/.github/workflows/_release.yml @@ -12,11 +12,11 @@ on: working-directory: required: true type: string - default: 'libs/{lib}' + default: 'libs/kuzu' env: - PYTHON_VERSION: "3.11" - POETRY_VERSION: "1.7.1" + PYTHON_VERSION: "3.12" + POETRY_VERSION: "1.8.5" jobs: build: @@ -157,11 +157,11 @@ jobs: run: make tests working-directory: ${{ inputs.working-directory }} - - name: Run integration tests - env: - PARTNER_API_KEY: ${{ secrets.PARTNER_API_KEY }} - run: make integration_tests - working-directory: ${{ inputs.working-directory }} + # - name: Run integration tests + # env: + # PARTNER_API_KEY: ${{ secrets.PARTNER_API_KEY }} + # run: make integration_tests + # working-directory: ${{ inputs.working-directory }} - name: Get minimum versions working-directory: ${{ inputs.working-directory }} diff --git a/.github/workflows/check_diffs.yml b/.github/workflows/check_diffs.yml index b6f4891..a612ce7 100644 --- a/.github/workflows/check_diffs.yml +++ b/.github/workflows/check_diffs.yml @@ -59,20 +59,9 @@ jobs: working-directory: ${{ matrix.working-directory }} secrets: inherit - compile-integration-tests: - name: cd ${{ matrix.working-directory }} - needs: [ build ] - if: ${{ needs.build.outputs.dirs-to-test != '[]' }} - strategy: - matrix: - working-directory: ${{ fromJson(needs.build.outputs.dirs-to-test) }} - uses: ./.github/workflows/_compile_integration_test.yml - with: - working-directory: ${{ matrix.working-directory }} - secrets: inherit ci_success: name: "CI Success" - needs: [build, lint, test, compile-integration-tests] + needs: [build, lint, test] if: | always() runs-on: ubuntu-latest diff --git a/.gitignore b/.gitignore index 45d553b..ba9ea2e 100644 --- a/.gitignore +++ b/.gitignore @@ -5,3 +5,6 @@ __pycache__ .mypy_cache_test .env .venv* +test_db +.DS_Store +.coverage diff --git a/README.md b/README.md index bd1c13b..3ef2585 100644 --- a/README.md +++ b/README.md @@ -1,70 +1,5 @@ -# 🦜️🔗 LangChain {partner} +# 🦜️🔗 LangChain Kùzu -This repository contains 1 package with {partner} integrations with LangChain: +This repository contains 1 package that integrates Kùzu, an embedded graph database, with LangChain: -- [langchain-{package_lower}](https://pypi.org/project/langchain-{package_lower}/) - -## Initial Repo Checklist (Remove this section after completing) - -Welcome to the LangChain Partner Integration Repository! This checklist will help you get started with your new repository. - -After creating your repo from the integration-repo-template, we'll go through the following steps: - -1. Setting up your new repository in GitHub -2. - -This setup assumes that the partner package is already split. For those instructions, -see [these docs](https://python.langchain.com/docs/contributing/integrations#partner-packages). - -Code (auto ecli) - -- [ ] Fill out the readme above (for folks that follow pypi link) -- [ ] Copy package into /libs folder -- [ ] Update these fields in /libs/*/pyproject.toml - - - `tool.poetry.repository` - - `tool.poetry.urls["Source Code"]` - -Workflow code (auto ecli) - -- [ ] Populate .github/workflows/_release.yml with `on.workflow_dispatch.inputs.working-directory.default` -- [ ] Configure `LIB_DIRS` in .github/scripts/check_diff.py - -Workflow code (manual) - -- [ ] Add secrets as env vars in .github/workflows/_release.yml - -Monorepo workflow code (manual) - -- [ ] Pull in new code location, remove old in .github/workflows/api_doc_build.yml - -In github (manual) - -- [ ] Add integration testing secrets in Github (ask Erick for help) -- [ ] Add partner collaborators in Github (ask Erick for help) -- [ ] "Allow auto-merge" in General Settings -- [ ] Only "Allow squash merging" in General Settings -- [ ] Set up ruleset matching CI build (ask Erick for help) - - name: ci build - - enforcement: active - - bypass: write - - target: default branch - - rules: restrict deletions, require status checks ("CI Success"), block force pushes -- [ ] Set up ruleset - - name: require prs - - enforcement: active - - bypass: none - - target: default branch - - rules: restrict deletions, require a pull request before merging (0 approvals, no boxes), block force pushes - -Pypi (manual) - -- [ ] Add new repo to test-pypi and pypi trusted publishing (ask Erick for help) - -Slack - -- [ ] Set up release alerting in Slack (ask Erick for help) - -release: -/github subscribe langchain-ai/langchain-{partner_lower} releases workflows:{name:"release"} -/github unsubscribe langchain-ai/langchain-{partner_lower} issues pulls commits deployments +- [langchain-kuzu](https://pypi.org/project/langchain-kuzu/) diff --git a/libs/kuzu/Makefile b/libs/kuzu/Makefile new file mode 100644 index 0000000..003acb2 --- /dev/null +++ b/libs/kuzu/Makefile @@ -0,0 +1,64 @@ +.PHONY: all format lint test tests integration_tests docker_tests help extended_tests + +# 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/ + + +# unit tests are run with the --disable-socket flag to prevent network calls +test tests: + poetry run pytest --disable-socket --allow-unix-socket $(TEST_FILE) + +test_watch: + poetry run ptw --snapshot-update --now . -- -vv $(TEST_FILE) + +# # integration tests are run without the --disable-socket flag to allow network calls +# integration_test integration_tests: +# poetry run pytest $(TEST_FILE) + +###################### +# LINTING AND FORMATTING +###################### + +# Define a variable for Python and notebook files. +PYTHON_FILES=. +MYPY_CACHE=.mypy_cache +lint format: PYTHON_FILES=. +lint_diff format_diff: PYTHON_FILES=$(shell git diff --relative=libs/partners/kuzu --name-only --diff-filter=d master | grep -E '\.py$$|\.ipynb$$') +lint_package: PYTHON_FILES=langchain_kuzu +lint_tests: PYTHON_FILES=tests +lint_tests: MYPY_CACHE=.mypy_cache_test + +lint lint_diff lint_package lint_tests: + [ "$(PYTHON_FILES)" = "" ] || poetry run ruff check $(PYTHON_FILES) + [ "$(PYTHON_FILES)" = "" ] || poetry run ruff format $(PYTHON_FILES) --diff + [ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE) && poetry run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE) + +format format_diff: + [ "$(PYTHON_FILES)" = "" ] || poetry run ruff format $(PYTHON_FILES) + [ "$(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_kuzu -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 'test TEST_FILE= - run all tests in file' \ No newline at end of file diff --git a/libs/kuzu/README.md b/libs/kuzu/README.md new file mode 100644 index 0000000..4a19e50 --- /dev/null +++ b/libs/kuzu/README.md @@ -0,0 +1,158 @@ +# 🦜️🔗 LangChain Kùzu + +This package contains the LangChain integration with Kùzu, an embeddable property graph database. + +## 📦 Installation + +```bash +pip install -U langchain-kuzu +``` + + +## Usage + +Kùzu's integration with LangChain makes it convenient to create and update graphs from unstructured text, and also to query graphs via a Text2Cypher pipeline that utilizes the +power of LangChain's LLM chains. In this section, we'll cover +an example of how to use the `KuzuGraph` and `KuzuQAChain` classes to create a graph, add nodes and relationships, and query the graph in conjunction with OpenAI's LLMs. + +Let's install some additional dependencies: + +```bash +pip install -U kuzu langchain langchain-openai langchain-experimental +``` + +### Creating a graph + +```py +text = "Tim Cook is the CEO of Apple. Apple has its headquarters in California." +``` + +First define the LLM to use for graph extraction, and the schema for the graph. + +```py +# Define schema +allowed_nodes = ["Person", "Company", "Location"] +allowed_relationships = [ + ("Person", "IS_CEO_OF", "Company"), + ("Company", "HAS_HEADQUARTERS_IN", "Location"), +] +``` + +The `LLMGraphTransformer` class is used to convert the text into a graph document. + +```py +from langchain_experimental.graph_transformers import LLMGraphTransformer +from langchain_openai import ChatOpenAI + +# Define the LLMGraphTransformer +llm_transformer = LLMGraphTransformer( + llm=ChatOpenAI(model="gpt-4o-mini", temperature=0, api_key=OPENAI_API_KEY), + allowed_nodes=allowed_nodes, + allowed_relationships=allowed_relationships, +) +``` + + +```py +from langchain_core.documents import Document + +# Convert the given text into graph documents +documents = [Document(page_content=text)] +graph_documents = llm_transformer.convert_to_graph_documents(documents) +``` + +To ingest the graph documents directly into a Kùzu database, we can use the `KuzuGraph` class. + +```py +import kuzu +from langchain_kuzu.graphs.kuzu_graph import KuzuGraph + +db = kuzu.Database("test_db") + +# Create a graph object +graph = KuzuGraph(db, allow_dangerous_requests=True) + +# Add the graph document to the graph +graph.add_graph_documents( + graph_documents, + include_source=True, +) +``` + +### Query the graph + +To query the graph, we can define a `KuzuQAChain` object. Then, we can invoke the chain with a query by connecting to the existing database that's stored in the `test_db` directory as per the +previous step. + +```py +import kuzu +from langchain_kuzu.graphs.kuzu_graph import KuzuGraph +from langchain_kuzu.chains.graph_qa.kuzu import KuzuQAChain + +db = kuzu.Database("test_db") +graph = KuzuGraph(db, allow_dangerous_requests=True) + +# Create the KuzuQAChain with verbosity enabled to see the generated Cypher queries +chain = KuzuQAChain.from_llm( + llm=ChatOpenAI(model="gpt-4o-mini", temperature=0.3, api_key=OPENAI_API_KEY), + graph=graph, + verbose=True, + allow_dangerous_requests=True, +) + +# Query the graph +queries = [ + "Who is the CEO of Apple?", + "Where is Apple headquartered?", +] + +for query in queries: + result = chain.invoke(query) + print(f"Query: {query}\nResult: {result}\n") +``` + +The following is the output: + +``` +> Entering new KuzuQAChain chain... +Generated Cypher: +MATCH (p:Person)-[:IS_CEO_OF]->(c:Company) WHERE c.id = 'Apple' RETURN p.id +Full Context: +[{'p.id': 'Tim Cook'}] + +> Finished chain. +Query: Who is the CEO of Apple? +Result: {'query': 'Who is the CEO of Apple?', 'result': 'Tim Cook is the CEO of Apple.'} + + + +> Entering new KuzuQAChain chain... +Generated Cypher: +MATCH (c:Company {id: "Apple"})-[:HAS_HEADQUARTERS_IN]->(l:Location) RETURN l.id +Full Context: +[{'l.id': 'California'}] + +> Finished chain. +Query: Where is Apple headquartered? +Result: {'query': 'Where is Apple headquartered?', 'result': 'Apple is headquartered in California.'} +``` + +### Updating the graph + +You can update or mutate the graph's state by connecting to the existing database and running your +own Cypher queries. + +```py +import kuzu + +db = kuzu.Database("test_db") +conn = kuzu.Connection(db) +# Add a new person-company relationship for Jeff Williams, the COO of Apple +conn.execute("CREATE (p:Person {id: 'Jeff Williams'})") +conn.execute( + """ + MATCH (c:Company {id: 'Apple'}) + CREATE (p:Person {id: 'Jeff Williams'})-[:IS_COO_OF]->(c) + """ +) +``` diff --git a/libs/kuzu/langchain_kuzu/__init__.py b/libs/kuzu/langchain_kuzu/__init__.py new file mode 100644 index 0000000..bca5fc3 --- /dev/null +++ b/libs/kuzu/langchain_kuzu/__init__.py @@ -0,0 +1,17 @@ +from importlib import metadata + +from langchain_kuzu.chains.graph_qa.kuzu import KuzuQAChain +from langchain_kuzu.graphs.kuzu_graph import KuzuGraph + +try: + __version__ = metadata.version(__package__) +except metadata.PackageNotFoundError: + # Case where package metadata is not available. + __version__ = "" +del metadata # optional, avoids polluting the results of dir(__package__) + +__all__ = [ + "KuzuQAChain", + "KuzuGraph", + "__version__", +] diff --git a/libs/kuzu/langchain_kuzu/chains/graph_qa/__init__.py b/libs/kuzu/langchain_kuzu/chains/graph_qa/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/libs/kuzu/langchain_kuzu/chains/graph_qa/kuzu.py b/libs/kuzu/langchain_kuzu/chains/graph_qa/kuzu.py new file mode 100644 index 0000000..d42921d --- /dev/null +++ b/libs/kuzu/langchain_kuzu/chains/graph_qa/kuzu.py @@ -0,0 +1,197 @@ +"""Question answering over a graph.""" + +from __future__ import annotations + +import re +from typing import Any, Dict, List, Optional + +from langchain.chains.base import Chain +from langchain.chains.llm import LLMChain +from langchain_core.callbacks import CallbackManagerForChainRun +from langchain_core.language_models import BaseLanguageModel +from langchain_core.prompts import BasePromptTemplate +from pydantic import Field + +from langchain_kuzu.chains.graph_qa.prompts import ( + CYPHER_QA_PROMPT, + KUZU_GENERATION_PROMPT, +) +from langchain_kuzu.graphs.graph_store import GraphStore + + +def remove_prefix(text: str, prefix: str) -> str: + """Remove a prefix from a text. + + Args: + text: Text to remove the prefix from. + prefix: Prefix to remove from the text. + + Returns: + Text with the prefix removed. + """ + if text.startswith(prefix): + return text[len(prefix) :] + return text + + +def extract_cypher(text: str) -> str: + """Extract Cypher code from a text. + + Args: + text: Text to extract Cypher code from. + + Returns: + Cypher code extracted from the text. + """ + # The pattern to find Cypher code enclosed in triple backticks + pattern = r"```(.*?)```" + + # Find all matches in the input text + matches = re.findall(pattern, text, re.DOTALL) + + return matches[0] if matches else text + + +class KuzuQAChain(Chain): + """Question-answering against a graph by generating Cypher statements for Kùzu. + + *Security note*: Make sure that the database connection uses credentials + that are narrowly-scoped to only include necessary permissions. + Failure to do so may result in data corruption or loss, since the calling + code may attempt commands that would result in deletion, mutation + of data if appropriately prompted or reading sensitive data if such + data is present in the database. + The best way to guard against such negative outcomes is to (as appropriate) + limit the permissions granted to the credentials used with this tool. + + See https://python.langchain.com/docs/security for more information. + """ + + graph: GraphStore = Field(exclude=True) + cypher_generation_chain: LLMChain + qa_chain: LLMChain + input_key: str = "query" #: :meta private: + output_key: str = "result" #: :meta private: + + allow_dangerous_requests: bool = False + """Forced user opt-in to acknowledge that the chain can make dangerous requests. + + *Security note*: Make sure that the database connection uses credentials + that are narrowly-scoped to only include necessary permissions. + Failure to do so may result in data corruption or loss, since the calling + code may attempt commands that would result in deletion, mutation + of data if appropriately prompted or reading sensitive data if such + data is present in the database. + The best way to guard against such negative outcomes is to (as appropriate) + limit the permissions granted to the credentials used with this tool. + + See https://python.langchain.com/docs/security for more information. + """ + + def __init__(self, **kwargs: Any) -> None: + """Initialize the chain.""" + super().__init__(**kwargs) + if self.allow_dangerous_requests is not True: + raise ValueError( + "In order to use this chain, you must acknowledge that it can make " + "dangerous requests by setting `allow_dangerous_requests` to `True`." + "You must narrowly scope the permissions of the database connection " + "to only include necessary permissions. Failure to do so may result " + "in data corruption or loss or reading sensitive data if such data is " + "present in the database." + "Only use this chain if you understand the risks and have taken the " + "necessary precautions. " + "See https://python.langchain.com/docs/security for more information." + ) + + @property + def input_keys(self) -> List[str]: + """Return the input keys. + + :meta private: + """ + return [self.input_key] + + @property + def output_keys(self) -> List[str]: + """Return the output keys. + + :meta private: + """ + _output_keys = [self.output_key] + return _output_keys + + @classmethod + def from_llm( + cls, + llm: Optional[BaseLanguageModel] = None, + *, + qa_prompt: BasePromptTemplate = CYPHER_QA_PROMPT, + cypher_prompt: BasePromptTemplate = KUZU_GENERATION_PROMPT, + cypher_llm: Optional[BaseLanguageModel] = None, + qa_llm: Optional[BaseLanguageModel] = None, + **kwargs: Any, + ) -> KuzuQAChain: + """Initialize from LLM.""" + if not cypher_llm and not llm: + raise ValueError("Either `llm` or `cypher_llm` parameters must be provided") + if not qa_llm and not llm: + raise ValueError( + "Either `llm` or `qa_llm` parameters must be provided along with" + " `cypher_llm`" + ) + if cypher_llm and qa_llm and llm: + raise ValueError( + "You can specify up to two of 'cypher_llm', 'qa_llm'" + ", and 'llm', but not all three simultaneously." + ) + + qa_chain = LLMChain( + llm=qa_llm or llm, # type: ignore[arg-type] + prompt=qa_prompt, + ) + cypher_generation_chain = LLMChain( + llm=cypher_llm or llm, # type: ignore[arg-type] + prompt=cypher_prompt, + ) + + return cls( + qa_chain=qa_chain, + cypher_generation_chain=cypher_generation_chain, + **kwargs, + ) + + def _call( + self, + inputs: Dict[str, Any], + run_manager: Optional[CallbackManagerForChainRun] = None, + ) -> Dict[str, str]: + """Generate Cypher statement, use it to look up in db and answer question.""" + _run_manager = run_manager or CallbackManagerForChainRun.get_noop_manager() + callbacks = _run_manager.get_child() + question = inputs[self.input_key] + + self.graph.refresh_schema() + generated_cypher = self.cypher_generation_chain.run( + {"question": question, "schema": self.graph.get_schema}, callbacks=callbacks + ) + # Extract Cypher code if it is wrapped in triple backticks + # with the language marker "cypher" + generated_cypher = remove_prefix(extract_cypher(generated_cypher), "cypher") + + _run_manager.on_text("Generated Cypher:", end="\n", verbose=self.verbose) + _run_manager.on_text( + generated_cypher, color="green", end="\n", verbose=self.verbose + ) + context = self.graph.query(generated_cypher) + + _run_manager.on_text("Full Context:", end="\n", verbose=self.verbose) + _run_manager.on_text( + str(context), color="green", end="\n", verbose=self.verbose + ) + + result = self.qa_chain( + {"question": question, "context": context}, + callbacks=callbacks, + ) + return {self.output_key: result[self.qa_chain.output_key]} diff --git a/libs/kuzu/langchain_kuzu/chains/graph_qa/prompts.py b/libs/kuzu/langchain_kuzu/chains/graph_qa/prompts.py new file mode 100644 index 0000000..d28737f --- /dev/null +++ b/libs/kuzu/langchain_kuzu/chains/graph_qa/prompts.py @@ -0,0 +1,57 @@ +# flake8: noqa +from langchain_core.prompts.prompt import PromptTemplate + +CYPHER_GENERATION_TEMPLATE = """Task:Generate Cypher statement to query a graph database. +Instructions: +Use only the provided relationship types and properties in the schema. +Do not use any other relationship types or properties that are not provided. +Schema: +{schema} +Note: Do not include any explanations or apologies in your responses. +Do not respond to any questions that might ask anything else than for you to construct a Cypher statement. +Do not include any text except the generated Cypher statement. + +The question is: +{question}""" + +CYPHER_GENERATION_PROMPT = PromptTemplate( + input_variables=["schema", "question"], template=CYPHER_GENERATION_TEMPLATE +) + +CYPHER_QA_TEMPLATE = """You are an assistant that helps to form nice and human understandable answers. +The information part contains the provided information that you must use to construct an answer. +The provided information is authoritative, you must never doubt it or try to use your internal knowledge to correct it. +Make the answer sound as a response to the question. Do not mention that you based the result on the given information. +Here is an example: + +Question: Which managers own Neo4j stocks? +Context:[manager:CTL LLC, manager:JANE STREET GROUP LLC] +Helpful Answer: CTL LLC, JANE STREET GROUP LLC owns Neo4j stocks. + +Follow this example when generating answers. +If the provided information is empty, say that you don't know the answer. +Information: +{context} + +Question: {question} +Helpful Answer:""" + +CYPHER_QA_PROMPT = PromptTemplate( + input_variables=["context", "question"], template=CYPHER_QA_TEMPLATE +) + +KUZU_EXTRA_INSTRUCTIONS = """ +Instructions: +Generate the Kùzu dialect of Cypher with the following rules in mind: +1. Do not omit the relationship pattern. Always use `()-[]->()` instead of `()->()`. +2. Do not include triple backticks ``` in your response. Return only Cypher. +3. Do not return any notes or comments in your response. +\n""" + +KUZU_GENERATION_TEMPLATE = CYPHER_GENERATION_TEMPLATE.replace( + "Generate Cypher", "Generate Kùzu Cypher" +).replace("Instructions:", KUZU_EXTRA_INSTRUCTIONS) + +KUZU_GENERATION_PROMPT = PromptTemplate( + input_variables=["schema", "question"], template=KUZU_GENERATION_TEMPLATE +) diff --git a/libs/kuzu/langchain_kuzu/graphs/graph_document.py b/libs/kuzu/langchain_kuzu/graphs/graph_document.py new file mode 100644 index 0000000..ff82ca4 --- /dev/null +++ b/libs/kuzu/langchain_kuzu/graphs/graph_document.py @@ -0,0 +1,51 @@ +from __future__ import annotations + +from typing import List, Union + +from langchain_core.documents import Document +from langchain_core.load.serializable import Serializable +from pydantic import Field + + +class Node(Serializable): + """Represents a node in a graph with associated properties. + + Attributes: + id (Union[str, int]): A unique identifier for the node. + type (str): The type or label of the node, default is "Node". + properties (dict): Additional properties and metadata associated with the node. + """ + + id: Union[str, int] + type: str = "Node" + properties: dict = Field(default_factory=dict) + + +class Relationship(Serializable): + """Represents a directed relationship between two nodes in a graph. + + Attributes: + source (Node): The source node of the relationship. + target (Node): The target node of the relationship. + type (str): The type of the relationship. + properties (dict): Additional properties associated with the relationship. + """ + + source: Node + target: Node + type: str + properties: dict = Field(default_factory=dict) + + +class GraphDocument(Serializable): + """Represents a graph document consisting of nodes and relationships. + + Attributes: + nodes (List[Node]): A list of nodes in the graph. + relationships (List[Relationship]): A list of relationships in the graph. + source (Document): The document from which the graph information is derived. + """ + + nodes: List[Node] + relationships: List[Relationship] + source: Document diff --git a/libs/kuzu/langchain_kuzu/graphs/graph_store.py b/libs/kuzu/langchain_kuzu/graphs/graph_store.py new file mode 100644 index 0000000..404479c --- /dev/null +++ b/libs/kuzu/langchain_kuzu/graphs/graph_store.py @@ -0,0 +1,37 @@ +from abc import abstractmethod +from typing import Any, Dict, List + +from langchain_kuzu.graphs.graph_document import GraphDocument + + +class GraphStore: + """Abstract class for graph operations.""" + + @property + @abstractmethod + def get_schema(self) -> str: + """Return the schema of the Graph database""" + pass + + @property + @abstractmethod + def get_structured_schema(self) -> Dict[str, Any]: + """Return the schema of the Graph database""" + pass + + @abstractmethod + def query(self, query: str, params: dict = {}) -> List[Dict[str, Any]]: + """Query the graph.""" + pass + + @abstractmethod + def refresh_schema(self) -> None: + """Refresh the graph schema information.""" + pass + + @abstractmethod + def add_graph_documents( + self, graph_documents: List[GraphDocument], include_source: bool = False + ) -> None: + """Take GraphDocument as input as uses it to construct a graph.""" + pass diff --git a/libs/kuzu/langchain_kuzu/graphs/kuzu_graph.py b/libs/kuzu/langchain_kuzu/graphs/kuzu_graph.py new file mode 100644 index 0000000..a7c775a --- /dev/null +++ b/libs/kuzu/langchain_kuzu/graphs/kuzu_graph.py @@ -0,0 +1,267 @@ +from hashlib import md5 +from typing import Any, Dict, List + +from langchain_kuzu.graphs.graph_document import GraphDocument, Relationship +from langchain_kuzu.graphs.graph_store import GraphStore + + +class KuzuGraph(GraphStore): + """Kùzu wrapper for graph operations. + + *Security note*: Make sure that the database connection uses credentials + that are narrowly-scoped to only include necessary permissions. + Failure to do so may result in data corruption or loss, since the calling + code may attempt commands that would result in deletion, mutation + of data if appropriately prompted or reading sensitive data if such + data is present in the database. + The best way to guard against such negative outcomes is to (as appropriate) + limit the permissions granted to the credentials used with this tool. + + See https://python.langchain.com/docs/security for more information. + """ + + def __init__( + self, db: Any, database: str = "kuzu", allow_dangerous_requests: bool = False + ) -> None: + """Initializes the Kùzu graph database connection.""" + + if allow_dangerous_requests is not True: + raise ValueError( + "The KuzuGraph class is a powerful tool that can be used to execute " + "arbitrary queries on the database. To enable this functionality, " + "set the `allow_dangerous_requests` parameter to `True` when " + "constructing the KuzuGraph object." + ) + + try: + import kuzu + except ImportError: + raise ImportError( + "Could not import Kùzu python package." + "Please install Kùzu with `pip install kuzu`." + ) + self.db = db + self.conn = kuzu.Connection(self.db) + self.database = database + self.refresh_schema() + + @property + def get_schema(self) -> str: + """Returns the schema of the Kùzu database""" + return self.schema + + def query(self, query: str, params: dict = {}) -> List[Dict[str, Any]]: + """Query Kùzu database""" + result = self.conn.execute(query, params) + # Handle both single QueryResult and list of QueryResults + if isinstance(result, list): + result = result[0] # Take first result if multiple + column_names = result.get_column_names() + return_list = [] + while result.has_next(): + row = result.get_next() + return_list.append(dict(zip(column_names, row))) + return return_list + + def refresh_schema(self) -> None: + """Refreshes the Kùzu graph schema information""" + node_properties = [] + node_table_names = self.conn._get_node_table_names() + for table_name in node_table_names: + current_table_schema = {"properties": [], "label": table_name} + properties = self.conn._get_node_property_names(table_name) + for property_name in properties: + property_type = properties[property_name]["type"] + list_type_flag = "" + if properties[property_name]["dimension"] > 0: + if "shape" in properties[property_name]: + for s in properties[property_name]["shape"]: + list_type_flag += f"[{s}]" + else: + for i in range(properties[property_name]["dimension"]): + list_type_flag += "[]" + property_type += list_type_flag + current_table_schema["properties"].append( + (property_name, property_type) + ) + node_properties.append(current_table_schema) + + relationships = [] + rel_tables = self.conn._get_rel_table_names() + for table in rel_tables: + relationships.append( + f"(:{table['src']})-[:{table['name']}]->(:{table['dst']})" + ) + + rel_properties = [] + for table in rel_tables: + table_name = table["name"] + current_table_schema = {"properties": [], "label": table_name} + query_result = self.conn.execute( + f"CALL table_info('{table_name}') RETURN *;" + ) + # Handle both single QueryResult and list of QueryResults + if isinstance(query_result, list): + query_result = query_result[0] + while query_result.has_next(): + row = query_result.get_next() + prop_name = row[1] + prop_type = row[2] + current_table_schema["properties"].append((prop_name, prop_type)) + rel_properties.append(current_table_schema) + + self.schema = ( + f"Node properties: {node_properties}\n" + f"Relationships properties: {rel_properties}\n" + f"Relationships: {relationships}\n" + ) + + def _create_chunk_node_table(self) -> None: + self.conn.execute( + """ + CREATE NODE TABLE IF NOT EXISTS Chunk ( + id STRING, + text STRING, + type STRING, + PRIMARY KEY(id) + ); + """ + ) + + def _create_entity_node_table(self, node_label: str) -> None: + self.conn.execute( + f""" + CREATE NODE TABLE IF NOT EXISTS {node_label} ( + id STRING, + type STRING, + PRIMARY KEY(id) + ); + """ + ) + + def _create_entity_relationship_table(self, rel: Relationship) -> None: + self.conn.execute( + f""" + CREATE REL TABLE IF NOT EXISTS {rel.type} ( + FROM {rel.source.type} TO {rel.target.type} + ); + """ + ) + + def add_graph_documents( + self, + graph_documents: List[GraphDocument], + include_source: bool = False, + ) -> None: + """ + Adds a list of `GraphDocument` objects that represent nodes and relationships + in a graph to a Kùzu backend. + + Parameters: + - graph_documents (List[GraphDocument]): A list of `GraphDocument` objects + that contain the nodes and relationships to be added to the graph. Each + `GraphDocument` should encapsulate the structure of part of the graph, + including nodes, relationships, and the source document information. + + - allowed_relationships (List[Tuple[str, str, str]]): A list of allowed + relationships that exist in the graph. Each tuple contains three elements: + the source node type, the relationship type, and the target node type. + Required for Kùzu, as the names of the relationship tables that need to + pre-exist are derived from these tuples. + + - include_source (bool): If True, stores the source document + and links it to nodes in the graph using the `MENTIONS` relationship. + This is useful for tracing back the origin of data. Merges source + documents based on the `id` property from the source document metadata + if available; otherwise it calculates the MD5 hash of `page_content` + for merging process. Defaults to False. + """ + # Get unique node labels in the graph documents + node_labels = list( + {node.type for document in graph_documents for node in document.nodes} + ) + + for document in graph_documents: + # Add chunk nodes and create source document relationships if include_source + # is True + if include_source: + self._create_chunk_node_table() + if not document.source.metadata.get("id"): + # Add a unique id to each document chunk via an md5 hash + document.source.metadata["id"] = md5( + document.source.page_content.encode("utf-8") + ).hexdigest() + + self.conn.execute( + f""" + MERGE (c:Chunk {{id: $id}}) + SET c.text = $text, + c.type = "text_chunk" + """, # noqa: F541 + parameters={ + "id": document.source.metadata["id"], + "text": document.source.page_content, + }, + ) + + for node_label in node_labels: + self._create_entity_node_table(node_label) + + # Add entity nodes from data + for node in document.nodes: + self.conn.execute( + f""" + MERGE (e:{node.type} {{id: $id}}) + SET e.type = "entity" + """, + parameters={"id": node.id}, + ) + if include_source: + # If include_source is True, we need to create a relationship table + # between the chunk nodes and the entity nodes + self._create_chunk_node_table() + ddl = "CREATE REL TABLE GROUP IF NOT EXISTS MENTIONS (" + table_names = [] + for node_label in node_labels: + table_names.append(f"FROM Chunk TO {node_label}") + table_names = list(set(table_names)) + ddl += ", ".join(table_names) + # Add common properties for all the tables here + ddl += ", label STRING, triplet_source_id STRING)" + if ddl: + self.conn.execute(ddl) + + # Only allow relationships that exist in the schema + if node.type in node_labels: + self.conn.execute( + f""" + MATCH (c:Chunk {{id: $id}}), + (e:{node.type} {{id: $node_id}}) + MERGE (c)-[m:MENTIONS]->(e) + SET m.triplet_source_id = $id + """, + parameters={ + "id": document.source.metadata["id"], + "node_id": node.id, + }, + ) + + # Add entity relationships + for rel in 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+python = ">=3.9,<4.0" +langchain-core = "^0.3.28" +kuzu = "^0.7.1" +langchain = "^0.3.13" + +[tool.poetry.group.test] +optional = true + +[tool.poetry.group.test.dependencies] +pytest = "^7.4.3" +pytest-asyncio = "^0.23.2" +pytest-socket = "^0.7.0" +pytest-watcher = "^0.3.4" +langchain-core = {git = "https://github.com/langchain-ai/langchain.git", subdirectory = "libs/core"} +pytest-cov = "^6.0.0" + +[tool.poetry.group.codespell] +optional = true + +[tool.poetry.group.codespell.dependencies] +codespell = "^2.2.6" + +[tool.poetry.group.test_integration] +optional = true + +[tool.poetry.group.test_integration.dependencies] + +[tool.poetry.group.lint] +optional = true + +[tool.poetry.group.lint.dependencies] +ruff = "^0.5" + +[tool.poetry.group.typing.dependencies] +mypy = "^1.10" +types-pyyaml = "^6.0.12.20240917" +langchain-core = {git = "https://github.com/langchain-ai/langchain.git", subdirectory = "libs/core"} + +[tool.poetry.group.dev] +optional = true + +[tool.poetry.group.dev.dependencies] +langchain-core = {git = "https://github.com/langchain-ai/langchain.git", subdirectory = "libs/core"} + +[tool.ruff.lint] +select = [ + "E", # pycodestyle + "F", # pyflakes + "I", # isort + "T201", # print +] + +[tool.mypy] +disallow_untyped_defs = "True" + +[tool.coverage.run] +omit = ["tests/*"] + +[build-system] +requires = ["poetry-core>=1.0.0"] +build-backend = "poetry.core.masonry.api" + +[tool.pytest.ini_options] +# --strict-markers will raise errors on unknown marks. +# https://docs.pytest.org/en/7.1.x/how-to/mark.html#raising-errors-on-unknown-marks +# +# https://docs.pytest.org/en/7.1.x/reference/reference.html +# --strict-config any warnings encountered while parsing the `pytest` +# section of the configuration file raise errors. +# +# https://github.com/tophat/syrupy +addopts = "--strict-markers --strict-config --durations=5 --cov=langchain_kuzu --cov-report=html --cov-report=term" +# Registering custom markers. +# https://docs.pytest.org/en/7.1.x/example/markers.html#registering-markers +markers = [ + "compile: mark placeholder test used to compile integration tests without running them", +] +asyncio_mode = "auto" \ No newline at end of file diff --git a/libs/kuzu/scripts/check_imports.py b/libs/kuzu/scripts/check_imports.py new file mode 100644 index 0000000..8cc4909 --- /dev/null +++ b/libs/kuzu/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_failure = True + print(file) # noqa: T201 + traceback.print_exc() + print() # noqa: T201 + + sys.exit(1 if has_failure else 0) \ No newline at end of file diff --git a/libs/kuzu/scripts/lint_imports.sh b/libs/kuzu/scripts/lint_imports.sh new file mode 100644 index 0000000..b185aaf --- /dev/null +++ b/libs/kuzu/scripts/lint_imports.sh @@ -0,0 +1,18 @@ +#!/bin/bash + +set -eu + +# Initialize a variable to keep track of errors +errors=0 + +# make sure not importing from langchain, langchain_experimental, or langchain_community +git --no-pager grep '^from langchain\.' . && errors=$((errors+1)) +git --no-pager grep '^from langchain_experimental\.' . && errors=$((errors+1)) +git --no-pager grep '^from langchain_community\.' . && errors=$((errors+1)) + +# Decide on an exit status based on the errors +if [ "$errors" -gt 0 ]; then + exit 1 +else + exit 0 +fi \ No newline at end of file diff --git a/libs/kuzu/tests/__init__.py b/libs/kuzu/tests/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/libs/kuzu/tests/llms/__init__.py b/libs/kuzu/tests/llms/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/libs/kuzu/tests/llms/fake_llm.py b/libs/kuzu/tests/llms/fake_llm.py new file mode 100644 index 0000000..eef185c --- /dev/null +++ b/libs/kuzu/tests/llms/fake_llm.py @@ -0,0 +1,64 @@ +"""Fake LLM wrapper for testing purposes.""" + +from typing import Any, Dict, List, Mapping, Optional, cast + +from langchain_core.callbacks import CallbackManagerForLLMRun +from langchain_core.language_models.llms import LLM +from pydantic import field_validator + + +class FakeLLM(LLM): + """Fake LLM wrapper for testing purposes.""" + + queries: Optional[Mapping] = None + sequential_responses: Optional[bool] = False + response_index: int = 0 + + @field_validator("queries") + @classmethod + def check_queries_required(cls, queries: Optional[Mapping]) -> Optional[Mapping]: + """Validate that queries is provided when sequential_responses is True.""" + if cls.sequential_responses and not queries: + raise ValueError( + "queries is required when sequential_response is set to True" + ) + return queries + + def get_num_tokens(self, text: str) -> int: + """Return number of tokens.""" + return len(text.split()) + + @property + def _llm_type(self) -> str: + """Return type of llm.""" + return "fake" + + def _call( + self, + prompt: str, + stop: Optional[List[str]] = None, + run_manager: Optional[CallbackManagerForLLMRun] = None, + **kwargs: Any, + ) -> str: + if self.sequential_responses: + return self._get_next_response_in_sequence + if self.queries is not None: + return self.queries[prompt] + if stop is None: + return "foo" + else: + return "bar" + + @property + def _identifying_params(self) -> Dict[str, Any]: + return {} + + @property + def _get_next_response_in_sequence(self) -> str: + queries = cast(Mapping, self.queries) + response = queries[list(queries.keys())[self.response_index]] + self.response_index = self.response_index + 1 + return response + + def bind_tools(self, tools: Any) -> None: + pass diff --git a/libs/kuzu/tests/unit_tests/chains/__init__.py b/libs/kuzu/tests/unit_tests/chains/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/libs/kuzu/tests/unit_tests/chains/test_graph_qa.py b/libs/kuzu/tests/unit_tests/chains/test_graph_qa.py new file mode 100644 index 0000000..f2db063 --- /dev/null +++ b/libs/kuzu/tests/unit_tests/chains/test_graph_qa.py @@ -0,0 +1,205 @@ +from typing import Any, Dict, List + +import pytest +from langchain_core.prompts import PromptTemplate + +from langchain_kuzu.chains.graph_qa.kuzu import ( + KuzuQAChain, + extract_cypher, + remove_prefix, +) +from langchain_kuzu.chains.graph_qa.prompts import ( + CYPHER_QA_PROMPT, + KUZU_GENERATION_PROMPT, +) +from langchain_kuzu.graphs.graph_document import GraphDocument +from langchain_kuzu.graphs.graph_store import GraphStore +from tests.llms.fake_llm import FakeLLM + + +class FakeGraphStore(GraphStore): + @property + def get_schema(self) -> str: + """Returns the schema of the Graph database""" + return "" + + @property + def get_structured_schema(self) -> Dict[str, Any]: + """Returns the schema of the Graph database""" + return {} + + def query(self, query: str, params: dict = {}) -> List[Dict[str, Any]]: + """Query the graph.""" + return [] + + def refresh_schema(self) -> None: + """Refreshes the graph schema information.""" + pass + + def add_graph_documents( + self, graph_documents: List[GraphDocument], include_source: bool = False + ) -> None: + """Take GraphDocument as input as uses it to construct a graph.""" + pass + + +def test_cypher_generation_failure() -> None: + """Test the chain doesn't fail if the Cypher query fails to be generated.""" + qa_prompt_template = "QA Prompt" + cypher_prompt_template = "Cypher Prompt" + qa_prompt = PromptTemplate(template=qa_prompt_template, input_variables=[]) + cypher_prompt = PromptTemplate(template=cypher_prompt_template, input_variables=[]) + llm = FakeLLM() + chain = KuzuQAChain.from_llm( + llm=llm, + graph=FakeGraphStore(), + allow_dangerous_requests=True, + qa_prompt=qa_prompt, + cypher_prompt=cypher_prompt, + ) + response = chain.invoke({"query": ""}) + assert response["result"] == "foo" + + +def test_graph_cypher_qa_chain_prompt_selection_4() -> None: + qa_prompt_template = "QA Prompt" + cypher_prompt_template = "Cypher Prompt" + qa_prompt = PromptTemplate(template=qa_prompt_template, input_variables=[]) + cypher_prompt = PromptTemplate(template=cypher_prompt_template, input_variables=[]) + chain = KuzuQAChain.from_llm( + llm=FakeLLM(), + graph=FakeGraphStore(), + allow_dangerous_requests=True, + qa_prompt=qa_prompt, + cypher_prompt=cypher_prompt, + ) + assert chain.qa_chain.prompt == qa_prompt + assert chain.cypher_generation_chain.prompt == cypher_prompt + + +def test_remove_prefix() -> None: + # Test with matching prefix + assert remove_prefix("cypherMATCH (n)", "cypher") == "MATCH (n)" + # Test with no prefix + assert remove_prefix("MATCH (n)", "cypher") == "MATCH (n)" + # Test with empty string + assert remove_prefix("", "cypher") == "" + # Test with empty prefix + assert remove_prefix("test string", "") == "test string" + # Test with prefix longer than string + assert remove_prefix("MATCH", "cypherMATCH") == "MATCH" + + +def test_no_backticks() -> None: + """Test if there are no backticks, so the original text should be returned.""" + query = "MATCH (n) RETURN n" + output = extract_cypher(query) + assert output == query + + +def test_backticks() -> None: + """Test if there are backticks. Query from within backticks should be returned.""" + query: str = "You can use the following query: ```MATCH (n) RETURN n```" + output: str = extract_cypher(query) + assert output == "MATCH (n) RETURN n" + + +def test_allow_dangerous_requests_err() -> None: + with pytest.raises(ValueError) as exc_info: + KuzuQAChain.from_llm( + llm=FakeLLM(), + graph=FakeGraphStore(), + ) + assert ( + "In order to use this chain, you must acknowledge that it can make " + "dangerous requests by setting `allow_dangerous_requests` to `True`." + ) in str(exc_info.value) + + +def test_kuzu_generation_prompt_structure() -> None: + """Test KUZU_GENERATION_PROMPT has correct structure and variables.""" + assert isinstance(KUZU_GENERATION_PROMPT, PromptTemplate) + required_variables = {"schema", "question"} + assert set(KUZU_GENERATION_PROMPT.input_variables) == required_variables + + # Test prompt contains key instruction elements + template = KUZU_GENERATION_PROMPT.template.lower() + assert "cypher" in template + assert "schema" in template + assert "question" in template + + +def test_cypher_qa_prompt_structure() -> None: + """Test CYPHER_QA_PROMPT has correct structure and variables.""" + assert isinstance(CYPHER_QA_PROMPT, PromptTemplate) + required_variables = {"context", "question"} + assert set(CYPHER_QA_PROMPT.input_variables) == required_variables + + # Test prompt contains key instruction elements + template = CYPHER_QA_PROMPT.template.lower() + assert "context" in template + assert "question" in template + + +def test_llm_arg_combinations() -> None: + # No llm + with pytest.raises(ValueError) as exc_info: + KuzuQAChain.from_llm(graph=FakeGraphStore(), allow_dangerous_requests=True) + assert "Either `llm` or `cypher_llm` parameters must be provided" == str( + exc_info.value + ) + # llm only + KuzuQAChain.from_llm( + llm=FakeLLM(), graph=FakeGraphStore(), allow_dangerous_requests=True + ) + # qa_llm only + with pytest.raises(ValueError) as exc_info: + KuzuQAChain.from_llm( + qa_llm=FakeLLM(), graph=FakeGraphStore(), allow_dangerous_requests=True + ) + assert "Either `llm` or `cypher_llm` parameters must be provided" == str( + exc_info.value + ) + # cypher_llm only + with pytest.raises(ValueError) as exc_info: + KuzuQAChain.from_llm( + cypher_llm=FakeLLM(), graph=FakeGraphStore(), allow_dangerous_requests=True + ) + assert ( + "Either `llm` or `qa_llm` parameters must be provided along with `cypher_llm`" + == str(exc_info.value) + ) + # llm + qa_llm + KuzuQAChain.from_llm( + llm=FakeLLM(), + qa_llm=FakeLLM(), + graph=FakeGraphStore(), + allow_dangerous_requests=True, + ) + # llm + cypher_llm + KuzuQAChain.from_llm( + llm=FakeLLM(), + cypher_llm=FakeLLM(), + graph=FakeGraphStore(), + allow_dangerous_requests=True, + ) + # qa_llm + cypher_llm + KuzuQAChain.from_llm( + qa_llm=FakeLLM(), + cypher_llm=FakeLLM(), + graph=FakeGraphStore(), + allow_dangerous_requests=True, + ) + # llm + qa_llm + cypher_llm + with pytest.raises(ValueError) as exc_info: + KuzuQAChain.from_llm( + llm=FakeLLM(), + qa_llm=FakeLLM(), + cypher_llm=FakeLLM(), + graph=FakeGraphStore(), + allow_dangerous_requests=True, + ) + assert ( + "You can specify up to two of 'cypher_llm', 'qa_llm'" + ", and 'llm', but not all three simultaneously." + ) == str(exc_info.value) diff --git a/libs/kuzu/tests/unit_tests/graphs/__init__.py b/libs/kuzu/tests/unit_tests/graphs/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/libs/kuzu/tests/unit_tests/graphs/test_kuzu_graph.py b/libs/kuzu/tests/unit_tests/graphs/test_kuzu_graph.py new file mode 100644 index 0000000..08563e1 --- /dev/null +++ b/libs/kuzu/tests/unit_tests/graphs/test_kuzu_graph.py @@ -0,0 +1,164 @@ +from typing import Any, Generator, Optional +from unittest.mock import Mock, patch + +import pytest + +from langchain_kuzu.graphs.graph_document import GraphDocument, Node +from langchain_kuzu.graphs.kuzu_graph import KuzuGraph + + +class MockCursor: + def __init__(self, results: Optional[list[Any]] = None) -> None: + self.results = results or [] + self.current_index: int = 0 + self.column_names: list[str] = ["column1"] # default + + def has_next(self) -> bool: + return self.current_index < len(self.results) + + def get_next(self) -> Any: + if self.has_next(): + result = self.results[self.current_index] + self.current_index += 1 + return result + return None + + def get_column_names(self) -> list[str]: + return self.column_names + + +@pytest.fixture +def mock_kuzu_connection() -> Generator[Mock, None, None]: + with patch("kuzu.Connection", autospec=True) as mock_conn: + # Mock schema-related methods + connection = mock_conn.return_value + connection._get_node_table_names.return_value = [ + "Person", + "Company", + ] + connection._get_node_property_names.return_value = { + "name": {"type": "STRING", "dimension": 0} + } + connection._get_rel_table_names.return_value = [ + {"src": "Person", "name": "WORKS_AT", "dst": "Company"} + ] + connection.execute = Mock( + return_value=Mock( + has_next=lambda: False, + get_column_names=lambda: ["column1"], + call_args_list=[], + reset_mock=lambda: None, + call_count=0, + ) + ) + yield connection + + +@pytest.fixture +def kuzu_graph(mock_kuzu_connection: Mock) -> KuzuGraph: + db = Mock() + + # Create a concrete subclass that implements the abstract method + class ConcreteKuzuGraph(KuzuGraph): + @property + def get_structured_schema(self) -> dict: + return {} + + return ConcreteKuzuGraph(db, allow_dangerous_requests=True) + + +def test_init_without_dangerous_requests() -> None: + db = Mock() + + # Create concrete subclass for testing + class ConcreteKuzuGraph(KuzuGraph): + @property + def get_structured_schema(self) -> dict: + return {} + + with pytest.raises(ValueError, match="powerful tool"): + ConcreteKuzuGraph(db, allow_dangerous_requests=False) + + +def test_query(kuzu_graph: KuzuGraph, mock_kuzu_connection: Mock) -> None: + mock_kuzu_connection.execute.return_value = MockCursor( + results=[["Rhea Seacrest", 33]] + ) + mock_kuzu_connection.execute.return_value.column_names = ["name", "age"] + + result = kuzu_graph.query("MATCH (p:Person) RETURN p.name, p.age") + assert result == [{"name": "Rhea Seacrest", "age": 33}] + + +def test_refresh_schema(kuzu_graph: KuzuGraph, mock_kuzu_connection: Mock) -> None: + kuzu_graph.refresh_schema() + assert "Node properties" in kuzu_graph.schema + assert "Relationships properties" in kuzu_graph.schema + assert "Relationships" in kuzu_graph.schema + + +def test_query_with_params(kuzu_graph: KuzuGraph, mock_kuzu_connection: Mock) -> None: + mock_kuzu_connection.execute.return_value = MockCursor(results=[["value1"]]) + + result = kuzu_graph.query("MATCH (n) WHERE n.id = $id RETURN n", {"id": "123"}) + assert result == [{"column1": "value1"}] + + +def test_refresh_schema_with_array_properties( + kuzu_graph: KuzuGraph, mock_kuzu_connection: Mock +) -> None: + mock_kuzu_connection._get_node_property_names.return_value = { + "vector": {"type": "FLOAT", "dimension": 2, "shape": [768]}, + "tags": {"type": "STRING", "dimension": 1}, + } + + kuzu_graph.refresh_schema() + assert "FLOAT[768]" in kuzu_graph.schema + assert "STRING[]" in kuzu_graph.schema + + +def test_add_graph_documents_with_source(kuzu_graph: KuzuGraph) -> None: + from langchain_core.documents import Document + + # Create test data with source document + node1 = Node(id="1", type="Person") + source_doc = Document(page_content="Test content", metadata={}) + doc = GraphDocument(nodes=[node1], relationships=[], source=source_doc) + + kuzu_graph.add_graph_documents([doc], include_source=True) + + # Verify Chunk table and MENTIONS relationship were created + expected_queries = [ + "CREATE NODE TABLE IF NOT EXISTS Chunk", + "MERGE (c:Chunk {id: $id})", + "CREATE REL TABLE GROUP IF NOT EXISTS MENTIONS", + "MERGE (c)-[m:MENTIONS]->(e)", + ] + + for query in expected_queries: + assert any( + query in call.args[0] + for call in kuzu_graph.conn.execute.call_args_list # type: ignore[attr-defined] + ) + + +def test_add_graph_documents_with_existing_source_id(kuzu_graph: KuzuGraph) -> None: + from langchain_core.documents import Document + + node1 = Node(id="1", type="Person") + source_doc = Document(page_content="Test content", metadata={"id": "existing_id"}) + doc = GraphDocument(nodes=[node1], relationships=[], source=source_doc) + + kuzu_graph.add_graph_documents([doc], include_source=True) + + # Verify the existing ID was used + assert any( + "'existing_id'" in str(call) + for call in kuzu_graph.conn.execute.call_args_list # type: ignore[attr-defined] + ) + + +def test_get_schema_property(kuzu_graph: KuzuGraph) -> None: + test_schema = "test schema" + kuzu_graph.schema = test_schema + assert kuzu_graph.get_schema == test_schema diff --git a/libs/kuzu/tests/unit_tests/test_imports.py b/libs/kuzu/tests/unit_tests/test_imports.py new file mode 100644 index 0000000..f771472 --- /dev/null +++ b/libs/kuzu/tests/unit_tests/test_imports.py @@ -0,0 +1,11 @@ +from langchain_kuzu import __all__ + +EXPECTED_ALL = [ + "KuzuQAChain", + "KuzuGraph", + "__version__", +] + + +def test_all_imports() -> None: + assert sorted(EXPECTED_ALL) == sorted(__all__)