Cassandra database tool

llama-index-integrations/tools/llama-index-tools-cassandra/.gitignore

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+llama_index/_static
+.DS_Store
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
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+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
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+etc/
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+parts/
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+share/
+var/
+wheels/
+pip-wheel-metadata/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
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+# Installer logs
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+.coverage.*
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+nosetests.xml
+coverage.xml
+*.cover
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+.hypothesis/
+.pytest_cache/
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+
+# Translations
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+# PyBuilder
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+# Jupyter Notebook
+.ipynb_checkpoints
+notebooks/
+
+# IPython
+profile_default/
+ipython_config.py
+
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+.python-version
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llama-index-integrations/tools/llama-index-tools-cassandra/BUILD

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+poetry_requirements(
+    name="poetry",
+)

llama-index-integrations/tools/llama-index-tools-cassandra/Makefile

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+GIT_ROOT ?= $(shell git rev-parse --show-toplevel)
+
+help:	## Show all Makefile targets.
+	@grep -E '^[a-zA-Z_-]+:.*?## .*$$' $(MAKEFILE_LIST) | awk 'BEGIN {FS = ":.*?## "}; {printf "\033[33m%-30s\033[0m %s\n", $$1, $$2}'
+
+format:	## Run code autoformatters (black).
+	pre-commit install
+	git ls-files | xargs pre-commit run black --files
+
+lint:	## Run linters: pre-commit (black, ruff, codespell) and mypy
+	pre-commit install && git ls-files | xargs pre-commit run --show-diff-on-failure --files
+
+test:	## Run tests via pytest.
+	pytest tests
+
+watch-docs:	## Build and watch documentation.
+	sphinx-autobuild docs/ docs/_build/html --open-browser --watch $(GIT_ROOT)/llama_index/

llama-index-integrations/tools/llama-index-tools-cassandra/README.md

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+# Cassandra Database Tools
+
+## Overview
+
+The Cassandra Database Tools project is designed to help AI engineers efficiently integrate Large Language Models (LLMs) with Apache Cassandra® data. It facilitates optimized and safe interactions with Cassandra databases, supporting various deployments like Apache Cassandra®, DataStax Enterprise™, and DataStax Astra™.
+
+## Key Features
+
+- **Fast Data Access:** Optimized queries ensure most operations complete in milliseconds.
+- **Schema Introspection:** Enhances the reasoning capabilities of LLMs by providing detailed schema information.
+- **Compatibility:** Supports various Cassandra deployments, ensuring wide applicability.
+- **Safety Measures:** Limits operations to SELECT queries and schema introspection to prioritize data integrity.
+
+## Installation
+
+Ensure your system has Python installed and proceed with the following installations via pip:
+
+```bash
+pip install python-dotenv cassio llama-index-tools-cassandra
+```
+
+Create a `.env` file for environmental variables related to Cassandra and Astra configurations, following the example structure provided in the notebook.
+
+## Environment Setup
+
+- For Cassandra: Configure `CASSANDRA_CONTACT_POINTS`, `CASSANDRA_USERNAME`, `CASSANDRA_PASSWORD`, and `CASSANDRA_KEYSPACE`.
+- For DataStax Astra: Set `ASTRA_DB_APPLICATION_TOKEN`, `ASTRA_DB_DATABASE_ID`, and `ASTRA_DB_KEYSPACE`.
+
+## How It Works
+
+The toolkit leverages the Cassandra Query Language (CQL) and integrates with LLMs to provide an efficient query path determination for the user's requests, ensuring best practices for querying are followed. Using functions, the LLMs decision making can invoke the tool instead of designing custom queries. The result is faster and efficient access to Cassandra data for agents.
+
+## Tools Included
+
+- **`cassandra_db_schema`**: Fetches schema information, essential for the agent’s operation.
+- **`cassandra_db_select_table_data`**: Allows selection of data from a specific keyspace and table.
+- **`cassandra_db_query`**: An experimental tool that accepts fully formed query strings from the agent.
+
+## Example Usage
+
+Initialize the CassandraDatabase and set up the agent with the tools provided. Query the database by interacting with the agent as shown in the example [notebook](https://docs.llamaindex.ai/en/latest/examples/tools/cassandra/).

llama-index-integrations/tools/llama-index-tools-cassandra/llama_index/tools/cassandra/BUILD

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+python_sources()

llama-index-integrations/tools/llama-index-tools-cassandra/llama_index/tools/cassandra/__init__.py

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+from llama_index.tools.cassandra.base import CassandraDatabaseToolSpec
+
+
+__all__ = ["CassandraDatabaseToolSpec"]

llama-index-integrations/tools/llama-index-tools-cassandra/llama_index/tools/cassandra/base.py

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+"""Tools for interacting with an Apache Cassandra database."""
+from typing import List
+
+from llama_index.core.bridge.pydantic import Field
+from llama_index.core.schema import Document
+from llama_index.core.tools.tool_spec.base import BaseToolSpec
+
+from llama_index.tools.cassandra.cassandra_database_wrapper import (
+    CassandraDatabase,
+)
+
+
+class CassandraDatabaseToolSpec(BaseToolSpec):
+    """Base tool for interacting with an Apache Cassandra database."""
+
+    db: CassandraDatabase = Field(exclude=True)
+
+    spec_functions = [
+        "cassandra_db_query",
+        "cassandra_db_schema",
+        "cassandra_db_select_table_data",
+    ]
+
+    def __init__(self, db: CassandraDatabase) -> None:
+        """DB session in context."""
+        self.db = db
+
+    def cassandra_db_query(self, query: str) -> List[Document]:
+        """Execute a CQL query and return the results as a list of Documents.
+
+        Args:
+            query (str): A CQL query to execute.
+
+        Returns:
+            List[Document]: A list of Document objects, each containing data from a row.
+        """
+        documents = []
+        result = self.db.run_no_throw(query, fetch="Cursor")
+        for row in result:
+            doc_str = ", ".join([str(value) for value in row])
+            documents.append(Document(text=doc_str))
+        return documents
+
+    def cassandra_db_schema(self, keyspace: str) -> List[Document]:
+        """Input to this tool is a keyspace name, output is a table description
+            of Apache Cassandra tables.
+            If the query is not correct, an error message will be returned.
+            If an error is returned, report back to the user that the keyspace
+            doesn't exist and stop.
+
+        Args:
+            keyspace (str): The name of the keyspace for which to return the schema.
+
+        Returns:
+            List[Document]: A list of Document objects, each containing a table description.
+        """
+        return [Document(text=self.db.get_keyspace_tables_str_no_throw(keyspace))]
+
+    def cassandra_db_select_table_data(
+        self, keyspace: str, table: str, predicate: str, limit: int
+    ) -> List[Document]:
+        """Tool for getting data from a table in an Apache Cassandra database.
+            Use the WHERE clause to specify the predicate for the query that uses the
+            primary key. A blank predicate will return all rows. Avoid this if possible.
+            Use the limit to specify the number of rows to return. A blank limit will
+            return all rows.
+
+        Args:
+            keyspace (str): The name of the keyspace containing the table.
+            table (str): The name of the table for which to return data.
+            predicate (str): The predicate for the query that uses the primary key.
+            limit (int): The maximum number of rows to return.
+
+        Returns:
+            List[Document]: A list of Document objects, each containing a row of data.
+        """
+        return [
+            Document(
+                text=self.db.get_table_data_no_throw(keyspace, table, predicate, limit)
+            )
+        ]