src: added FalkorDB GraphStore implementation i.e code, requirements,… #1
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WalkthroughThe changes reorganize the storage model documentation and add a new "FalkorDB Graph Store" section with instructions on how to create connections using Changes
Sequence Diagram(s)sequenceDiagram
participant App as Application
participant Factory as GraphStoreFactory
participant Client as FalkorDBDatabaseClient
participant DB as FalkorDB
App->>Factory: Request graph store for FalkorDB
Factory->>Client: Call for_falkordb(endpoint, kwargs)
Client->>DB: Establish connection (parse endpoint, set host/port)
App->>Client: Execute execute_query(cypher, parameters)
Client->>DB: Send query execution request
DB-->>Client: Return query results or error
Client-->>App: Return processed results
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Comments suppressed due to low confidence (2)
src/graphrag_toolkit/storage/falkordb_graph_store.py:24
- [nitpick] The function name 'generate_random_string' is ambiguous. Consider renaming it to 'generate_random_alphabetic_string' to clarify that it generates a string of alphabetic characters.
def generate_random_string(length: int) -> str:
src/graphrag_toolkit/storage/falkordb_graph_store.py:82
- The 'parameters' argument should be initialized to an empty dictionary if it is None to avoid potential errors.
def execute_query(self, cypher: str, parameters: dict = {}, correlation_id: Any =None) -> Union[List[List[Node]], List[List[List[Path]]]]:
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Actionable comments posted: 1
🧹 Nitpick comments (6)
src/graphrag_toolkit/storage/falkordb_graph_store.py (3)
24-27: Consider using a cryptographically secure random generator if security is a concern.
This function usesrandom.choiceto generate strings. If these strings will be used in security-sensitive contexts like credentials or hashed identifiers, consider usingsecretsinstead ofrandom.
33-33: Avoid non-deterministic default parameters.
Usinggenerate_random_string(4)as the default fordatabasecan lead to unexpected results if the constructor is accessed multiple times. Prefer usingNoneand assigning a random string inside the constructor.- database: str = generate_random_string(4), + database: Optional[str] = None, ... if database is None: database = generate_random_string(4)
57-62: Useraise ... from eto preserve the original traceback.
When re-raising exceptions in anexceptblock, specify the original exception withfrom eto keep the full traceback context.-except Exception as e: - raise ValueError(f"Error parsing endpoint url: {e}") +except Exception as e: + raise ValueError(f"Error parsing endpoint url: {e}") from e🧰 Tools
🪛 Ruff (0.8.2)
62-62: Within an
exceptclause, raise exceptions withraise ... from errorraise ... from Noneto distinguish them from errors in exception handling(B904)
src/graphrag_toolkit/storage/graph_store_factory.py (1)
64-64: Remove extraneous “f” prefix for readability.
No placeholders are being used in the string.-logger.debug(f'Opening dummy graph store') +logger.debug('Opening dummy graph store')🧰 Tools
🪛 Ruff (0.8.2)
64-64: f-string without any placeholders
Remove extraneous
fprefix(F541)
docs/storage-model.md (2)
61-67: Specify language for fenced code blocks.
Add a language identifier (e.g.,python) to follow best practices for Markdown code blocks.-``` +```python from graphrag_toolkit.storage import GraphStoreFactory falkordb_connection_info = 'falkordb://your-falkordb-endpoint' graph_store = GraphStoreFactory.for_graph_store(falkordb_connection_info)🧰 Tools
🪛 markdownlint-cli2 (0.17.2)
61-61: Fenced code blocks should have a language specified
null(MD040, fenced-code-language)
71-77: Specify language for fenced code blocks.
Add a language identifier (e.g.,python) to follow best practices for Markdown code blocks.-``` +```python from graphrag_toolkit.storage import GraphStoreFactory falkordb_connection_info = 'falkordb://' graph_store = GraphStoreFactory.for_graph_store(falkordb_connection_info)🧰 Tools
🪛 markdownlint-cli2 (0.17.2)
71-71: Fenced code blocks should have a language specified
null(MD040, fenced-code-language)
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docs/storage-model.md(2 hunks)src/graphrag_toolkit/storage/falkordb_graph_store.py(1 hunks)src/graphrag_toolkit/storage/graph_store_factory.py(2 hunks)src/requirements.txt(2 hunks)
✅ Files skipped from review due to trivial changes (1)
- src/requirements.txt
🧰 Additional context used
🪛 markdownlint-cli2 (0.17.2)
docs/storage-model.md
61-61: Fenced code blocks should have a language specified
null
(MD040, fenced-code-language)
71-71: Fenced code blocks should have a language specified
null
(MD040, fenced-code-language)
🪛 Ruff (0.8.2)
src/graphrag_toolkit/storage/graph_store_factory.py
64-64: f-string without any placeholders
Remove extraneous f prefix
(F541)
src/graphrag_toolkit/storage/falkordb_graph_store.py
62-62: Within an except clause, raise exceptions with raise ... from err or raise ... from None to distinguish them from errors in exception handling
(B904)
83-83: Do not use mutable data structures for argument defaults
Replace with None; initialize within function
(B006)
🔇 Additional comments (1)
src/graphrag_toolkit/storage/graph_store_factory.py (1)
79-84: Docstring forfor_falkordbis clear and consistent.
Nicely explains how to initialize a FalkorDB database client.
|
|
||
| def execute_query(self, | ||
| cypher: str, | ||
| parameters: dict = {}, |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Avoid using mutable default arguments in function signatures.
Using a mutable dictionary as a default can lead to shared state across calls. Use None as the default and initialize inside the function.
-def execute_query(self,
- cypher: str,
- parameters: dict = {},
- correlation_id: Any = None) -> Union[List[List[Node]], List[List[List[Path]]]]:
+def execute_query(self,
+ cypher: str,
+ parameters: Optional[dict] = None,
+ correlation_id: Any = None) -> Union[List[List[Node]], List[List[List[Path]]]]:
if parameters is None:
parameters = {}📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| parameters: dict = {}, | |
| def execute_query(self, | |
| cypher: str, | |
| parameters: Optional[dict] = None, | |
| correlation_id: Any = None) -> Union[List[List[Node]], List[List[List[Path]]]]: | |
| if parameters is None: | |
| parameters = {} | |
| # ... rest of the function implementation |
🧰 Tools
🪛 Ruff (0.8.2)
83-83: Do not use mutable data structures for argument defaults
Replace with None; initialize within function
(B006)
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Actionable comments posted: 2
🧹 Nitpick comments (2)
src/graphrag_toolkit/storage/falkordb_graph_store.py (2)
25-28: Consider usingsecretsmodule for secure random string generation.While
random.choiceis suitable for non-security-critical use cases, using thesecretsmodule would provide cryptographically secure random generation, which is generally preferred when generating identifiers.-import random +import secrets import string def generate_random_alphabetic_string(length: int) -> str: characters = string.ascii_letters - random_string = "".join(random.choice(characters) for _ in range(length)) + random_string = "".join(secrets.choice(characters) for _ in range(length)) return random_string
32-58: Add validation for endpoint_url and authentication parameters.Consider adding validation for
endpoint_urlwhen credentials are provided, and ensure consistent error handling for authentication parameters.def __init__(self, endpoint_url: str = None, database: Optional[str] = None, username: str = None, password: str = None, ssl: bool = False, _client: Optional[Any] = None, *args, **kwargs ) -> None: + if username and not password: + raise ValueError("Password is required when username is provided") + + if endpoint_url and not isinstance(endpoint_url, str): + raise ValueError("Endpoint URL must be a string") + if database is None: database = generate_random_alphabetic_string(4) if not database or not database.isalnum(): raise ValueError("Database name must be alphanumeric and non-empty")
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📒 Files selected for processing (3)
docs/storage-model.md(2 hunks)src/graphrag_toolkit/storage/falkordb_graph_store.py(1 hunks)src/graphrag_toolkit/storage/graph_store_factory.py(2 hunks)
🚧 Files skipped from review as they are similar to previous changes (2)
- src/graphrag_toolkit/storage/graph_store_factory.py
- docs/storage-model.md
🧰 Additional context used
🪛 Ruff (0.8.2)
src/graphrag_toolkit/storage/falkordb_graph_store.py
86-86: Within an except clause, raise exceptions with raise ... from err or raise ... from None to distinguish them from errors in exception handling
(B904)
🔇 Additional comments (1)
src/graphrag_toolkit/storage/falkordb_graph_store.py (1)
1-20: LGTM!The license header is properly formatted, and imports are well-organized following best practices.
| def execute_query(self, | ||
| cypher: str, | ||
| parameters: Optional[dict] = None, | ||
| correlation_id: Any =None) -> Union[List[List[Node]], List[List[List[Path]]]]: | ||
| if parameters is None: | ||
| parameters = {} | ||
|
|
||
| query_id = uuid.uuid4().hex[:5] | ||
|
|
||
| request_log_entry_parameters = self.log_formatting.format_log_entry( | ||
| self._logging_prefix(query_id, correlation_id), | ||
| cypher, | ||
| params = json.dumps(parameters), | ||
| ) | ||
|
|
||
| logger.debug(f'[{request_log_entry_parameters.query_ref}] Query: [query: {request_log_entry_parameters.query}, parameters: {request_log_entry_parameters.parameters}]') | ||
|
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||
| start = time.time() | ||
|
|
||
| try: | ||
| response = self.client.query( | ||
| q=request_log_entry_parameters.format_query_with_query_ref(cypher), | ||
| params=parameters | ||
| ) | ||
| except Exception as e: | ||
| logger.error(f"Query execution failed: {e}. Query: {cypher}, Parameters: {parameters}") | ||
| raise ResponseError(f"Failed to execute query: {e}") from e | ||
|
|
There was a problem hiding this comment.
🛠️ Refactor suggestion
Add proper exception chaining in execute_query method.
The error handling in the execute query method should use proper exception chaining.
try:
response = self.client.query(
q=request_log_entry_parameters.format_query_with_query_ref(cypher),
params=parameters
)
- except Exception as e:
+ except ResponseError as e:
logger.error(f"Query execution failed: {e}. Query: {cypher}, Parameters: {parameters}")
- raise ResponseError(f"Failed to execute query: {e}") from e
+ raise
+ except Exception as e:
+ logger.error(f"Unexpected error during query execution: {e}. Query: {cypher}, Parameters: {parameters}")
+ raise ResponseError(f"Unexpected error during query execution: {e}") from e📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| def execute_query(self, | |
| cypher: str, | |
| parameters: Optional[dict] = None, | |
| correlation_id: Any =None) -> Union[List[List[Node]], List[List[List[Path]]]]: | |
| if parameters is None: | |
| parameters = {} | |
| query_id = uuid.uuid4().hex[:5] | |
| request_log_entry_parameters = self.log_formatting.format_log_entry( | |
| self._logging_prefix(query_id, correlation_id), | |
| cypher, | |
| params = json.dumps(parameters), | |
| ) | |
| logger.debug(f'[{request_log_entry_parameters.query_ref}] Query: [query: {request_log_entry_parameters.query}, parameters: {request_log_entry_parameters.parameters}]') | |
| start = time.time() | |
| try: | |
| response = self.client.query( | |
| q=request_log_entry_parameters.format_query_with_query_ref(cypher), | |
| params=parameters | |
| ) | |
| except Exception as e: | |
| logger.error(f"Query execution failed: {e}. Query: {cypher}, Parameters: {parameters}") | |
| raise ResponseError(f"Failed to execute query: {e}") from e | |
| def execute_query(self, | |
| cypher: str, | |
| parameters: Optional[dict] = None, | |
| correlation_id: Any = None) -> Union[List[List[Node]], List[List[List[Path]]]]: | |
| if parameters is None: | |
| parameters = {} | |
| query_id = uuid.uuid4().hex[:5] | |
| request_log_entry_parameters = self.log_formatting.format_log_entry( | |
| self._logging_prefix(query_id, correlation_id), | |
| cypher, | |
| params = json.dumps(parameters), | |
| ) | |
| logger.debug(f'[{request_log_entry_parameters.query_ref}] Query: [query: {request_log_entry_parameters.query}, parameters: {request_log_entry_parameters.parameters}]') | |
| start = time.time() | |
| try: | |
| response = self.client.query( | |
| q=request_log_entry_parameters.format_query_with_query_ref(cypher), | |
| params=parameters | |
| ) | |
| except ResponseError as e: | |
| logger.error(f"Query execution failed: {e}. Query: {cypher}, Parameters: {parameters}") | |
| raise | |
| except Exception as e: | |
| logger.error(f"Unexpected error during query execution: {e}. Query: {cypher}, Parameters: {parameters}") | |
| raise ResponseError(f"Unexpected error during query execution: {e}") from e |
| @property | ||
| def client(self) -> Graph: | ||
| # Example FalkorDB Cloud Endpoint URL | ||
| # r-6jissuruar.instance-zwb082gpf.hc-v8noonp0c.europe-west1.gcp.f2e0a955bb84.cloud:62471 | ||
| if self.endpoint_url: | ||
| try: | ||
| parts = self.endpoint_url.split(':') | ||
| self.host = parts[0] | ||
| self.port = int(parts[1]) | ||
| except Exception as e: | ||
| raise ValueError(f"Error parsing endpoint url: {e}") from e | ||
| else: | ||
| self.host = "localhost" | ||
| self.port = 6379 | ||
|
|
||
| if self._client is None: | ||
| try: | ||
| self._driver = falkordb.FalkorDB( | ||
| host=self.host, | ||
| port=self.port, | ||
| username=self.username, | ||
| password=self.password, | ||
| ssl=self.ssl, | ||
| ) | ||
| self._client = self._driver.select_graph(self.database) | ||
| except Exception as e: | ||
| logger.error(f"Failed to connect to FalkorDB: {e}") | ||
| raise ConnectionError(f"Could not establish connection to FalkorDB: {e}") | ||
| return self._client | ||
|
|
There was a problem hiding this comment.
🛠️ Refactor suggestion
Improve error handling in client property.
- Add proper exception chaining for endpoint URL parsing error.
- Enhance connection error handling with more specific error types.
if self.endpoint_url:
try:
parts = self.endpoint_url.split(':')
+ if len(parts) != 2:
+ raise ValueError("Invalid endpoint URL format. Expected format: host:port")
self.host = parts[0]
self.port = int(parts[1])
except Exception as e:
raise ValueError(f"Error parsing endpoint url: {e}") from e
if self._client is None:
try:
self._driver = falkordb.FalkorDB(
host=self.host,
port=self.port,
username=self.username,
password=self.password,
ssl=self.ssl,
)
self._client = self._driver.select_graph(self.database)
- except Exception as e:
+ except falkordb.ConnectionError as e:
logger.error(f"Failed to connect to FalkorDB: {e}")
raise ConnectionError(f"Could not establish connection to FalkorDB: {e}") from e
+ except falkordb.AuthenticationError as e:
+ logger.error(f"Authentication failed: {e}")
+ raise ConnectionError(f"Authentication failed: {e}") from e
+ except Exception as e:
+ logger.error(f"Unexpected error while connecting to FalkorDB: {e}")
+ raise ConnectionError(f"Unexpected error while connecting to FalkorDB: {e}") from e📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| @property | |
| def client(self) -> Graph: | |
| # Example FalkorDB Cloud Endpoint URL | |
| # r-6jissuruar.instance-zwb082gpf.hc-v8noonp0c.europe-west1.gcp.f2e0a955bb84.cloud:62471 | |
| if self.endpoint_url: | |
| try: | |
| parts = self.endpoint_url.split(':') | |
| self.host = parts[0] | |
| self.port = int(parts[1]) | |
| except Exception as e: | |
| raise ValueError(f"Error parsing endpoint url: {e}") from e | |
| else: | |
| self.host = "localhost" | |
| self.port = 6379 | |
| if self._client is None: | |
| try: | |
| self._driver = falkordb.FalkorDB( | |
| host=self.host, | |
| port=self.port, | |
| username=self.username, | |
| password=self.password, | |
| ssl=self.ssl, | |
| ) | |
| self._client = self._driver.select_graph(self.database) | |
| except Exception as e: | |
| logger.error(f"Failed to connect to FalkorDB: {e}") | |
| raise ConnectionError(f"Could not establish connection to FalkorDB: {e}") | |
| return self._client | |
| @property | |
| def client(self) -> Graph: | |
| # Example FalkorDB Cloud Endpoint URL | |
| # r-6jissuruar.instance-zwb082gpf.hc-v8noonp0c.europe-west1.gcp.f2e0a955bb84.cloud:62471 | |
| if self.endpoint_url: | |
| try: | |
| parts = self.endpoint_url.split(':') | |
| if len(parts) != 2: | |
| raise ValueError("Invalid endpoint URL format. Expected format: host:port") | |
| self.host = parts[0] | |
| self.port = int(parts[1]) | |
| except Exception as e: | |
| raise ValueError(f"Error parsing endpoint url: {e}") from e | |
| else: | |
| self.host = "localhost" | |
| self.port = 6379 | |
| if self._client is None: | |
| try: | |
| self._driver = falkordb.FalkorDB( | |
| host=self.host, | |
| port=self.port, | |
| username=self.username, | |
| password=self.password, | |
| ssl=self.ssl, | |
| ) | |
| self._client = self._driver.select_graph(self.database) | |
| except falkordb.ConnectionError as e: | |
| logger.error(f"Failed to connect to FalkorDB: {e}") | |
| raise ConnectionError(f"Could not establish connection to FalkorDB: {e}") from e | |
| except falkordb.AuthenticationError as e: | |
| logger.error(f"Authentication failed: {e}") | |
| raise ConnectionError(f"Authentication failed: {e}") from e | |
| except Exception as e: | |
| logger.error(f"Unexpected error while connecting to FalkorDB: {e}") | |
| raise ConnectionError(f"Unexpected error while connecting to FalkorDB: {e}") from e | |
| return self._client |
🧰 Tools
🪛 Ruff (0.8.2)
86-86: Within an except clause, raise exceptions with raise ... from err or raise ... from None to distinguish them from errors in exception handling
(B904)
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Actionable comments posted: 0
🧹 Nitpick comments (6)
src/graphrag_toolkit/storage/graph_store_factory.py (2)
36-36: Consider a more appropriate default case.The default case assumes NEPTUNE_ANALYTICS, which might not be the best choice. Consider raising a ValueError for unrecognized graph info formats to prevent silent failures.
- return (NEPTUNE_ANALYTICS, graph_info) + raise ValueError(f"Unrecognized graph info format: {graph_info}")
79-88: Enhance the docstring with parameter and return type information.The docstring should include parameter descriptions and return type information for better documentation.
@staticmethod def for_falkordb(graph_endpoint, **kwargs): """ Initializes and returns the FalkorDB database client. + + Args: + graph_endpoint (str): The endpoint URL for the FalkorDB instance. + **kwargs: Additional keyword arguments passed to FalkorDBDatabaseClient. + + Returns: + FalkorDBDatabaseClient: An initialized FalkorDB database client. + + Raises: + ValueError: If the endpoint URL is invalid. + ConnectionError: If connection to FalkorDB fails. """ return FalkorDBDatabaseClient( endpoint_url=graph_endpoint, log_formatting=get_log_formatting(kwargs), **kwargs )src/graphrag_toolkit/storage/falkordb_graph_store.py (4)
5-6: Remove unused imports.The following imports are not used in the code:
stringsecretsRedactedGraphQueryLogFormatting-import string -import secrets import json import logging import time import uuid from typing import Optional, Any, List, Union from falkordb.node import Node from falkordb.path import Path from falkordb.graph import Graph from redis.exceptions import ResponseError, AuthenticationError from llama_index.core.bridge.pydantic import PrivateAttr from graphrag_toolkit.storage.graph_store import ( - GraphStore, NodeId, - format_id, RedactedGraphQueryLogFormatting) + GraphStore, NodeId, format_id)Also applies to: 21-21
🧰 Tools
🪛 Ruff (0.8.2)
5-5:
stringimported but unusedRemove unused import:
string(F401)
6-6:
secretsimported but unusedRemove unused import:
secrets(F401)
63-64: Enhance endpoint URL validation.The current validation only checks if the URL is a string. Consider adding format validation to ensure it follows the expected pattern.
if endpoint_url and not isinstance(endpoint_url, str): raise ValueError("Endpoint URL must be a string") + if endpoint_url and not endpoint_url.startswith('falkordb://'): + raise ValueError("Endpoint URL must start with 'falkordb://'")
104-123: Consider implementing connection pooling.For better performance and resource management, consider implementing connection pooling to reuse connections instead of creating new ones for each request.
if self._client is None: try: + # TODO: Implement connection pooling + # Consider using a connection pool manager to reuse connections + # and handle connection lifecycle self._client = falkordb.FalkorDB( host=host, port=port, username=self.username, password=self.password, ssl=self.ssl, ).select_graph(self.database)
163-173: Add query timeout handling.Consider adding a timeout parameter to prevent long-running queries from blocking the system.
try: response = self.client.query( q=request_log_entry_parameters.format_query_with_query_ref(cypher), - params=parameters + params=parameters, + timeout=kwargs.get('timeout', 30) # Default 30 seconds timeout ) except ResponseError as e: logger.error(f"Query execution failed: {e}. Query: {cypher}, Parameters: {parameters}") raise except Exception as e: logger.error(f"Unexpected error during query execution: {e}. Query: {cypher}, Parameters: {parameters}") raise ResponseError(f"Unexpected error during query execution: {e}") from e
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📒 Files selected for processing (2)
src/graphrag_toolkit/storage/falkordb_graph_store.py(1 hunks)src/graphrag_toolkit/storage/graph_store_factory.py(2 hunks)
🧰 Additional context used
🪛 Ruff (0.8.2)
src/graphrag_toolkit/storage/falkordb_graph_store.py
5-5: string imported but unused
Remove unused import: string
(F401)
6-6: secrets imported but unused
Remove unused import: secrets
(F401)
21-21: graphrag_toolkit.storage.graph_store.RedactedGraphQueryLogFormatting imported but unused
Remove unused import: graphrag_toolkit.storage.graph_store.RedactedGraphQueryLogFormatting
(F401)
🔇 Additional comments (1)
src/graphrag_toolkit/storage/graph_store_factory.py (1)
60-62: LGTM!The FalkorDB integration follows the same pattern as other graph store types, with appropriate logging and initialization.
User description
… and docs
PR Type
Enhancement, Documentation
Description
Added FalkorDB GraphStore implementation with core functionalities.
Integrated FalkorDB support into the GraphStore factory.
Updated documentation to include FalkorDB usage examples.
Added FalkorDB and Redis dependencies to requirements.
Changes walkthrough 📝
falkordb_graph_store.py
Added FalkorDB GraphStore implementationsrc/graphrag_toolkit/storage/falkordb_graph_store.py
FalkorDBDatabaseClientclass for FalkorDB integration.graph_store_factory.py
Integrated FalkorDB into GraphStore factorysrc/graphrag_toolkit/storage/graph_store_factory.py
storage-model.md
Updated documentation for FalkorDB GraphStoredocs/storage-model.md
requirements.txt
Updated requirements with FalkorDB dependenciessrc/requirements.txt
FalkorDBlibrary dependency.redislibrary dependency for FalkorDB support.Summary by CodeRabbit
Documentation
New Features
Chores