Standardize Function Docs & Optional Arguments #94
Conversation
WalkthroughThe changes center on improving type clarity and documentation across the codebase. Many methods now include explicit return type annotations and use of Changes
Sequence Diagram(s)sequenceDiagram
participant U as User
participant M as GenerativeModel
participant C as ChatSession
U->>M: start_chat(system_instruction)
M-->>C: Initialize chat session with system_instruction
U->>C: send_message(message)
C-->>U: Return response (string)
sequenceDiagram
participant U as User
participant O as Orchestrator
participant M as ChatSession
U->>O: ask(question)
O->>M: Start chat session with system_instruction
M-->>O: Exchange messages and build history
O-->>U: Return orchestrator result
Poem
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Actionable comments posted: 2
🔭 Outside diff range comments (2)
graphrag_sdk/models/azure_openai.py (1)
234-243:⚠️ Potential issueFix variable name inconsistency in
delete_last_message.This method still uses
self._historybut the class now usesself._chat_history. This will cause runtime errors when attempting to delete messages.Apply this diff to fix the inconsistency:
def delete_last_message(self): # Keep at least the system message if present min_length = 1 if self._model.system_instruction else 0 - if len(self._history) - 2 >= min_length: - self._history.pop() - self._history.pop() + if len(self._chat_history) - 2 >= min_length: + self._chat_history.pop() + self._chat_history.pop() else: # Reset to initial state with just system message if present - self._history = ( + self._chat_history = ( [{"role": "system", "content": self._model.system_instruction}] if self._model.system_instruction is not None else [] )graphrag_sdk/models/openai.py (1)
187-196:⚠️ Potential issueFix variable name inconsistency in
delete_last_message.This method still uses
self._historybut the class now usesself._chat_history. This will cause runtime errors when attempting to delete messages.Apply this diff to fix the inconsistency:
def delete_last_message(self): # Keep at least the system message if present min_length = 1 if self._model.system_instruction else 0 - if len(self._history) - 2 >= min_length: - self._history.pop() - self._history.pop() + if len(self._chat_history) - 2 >= min_length: + self._chat_history.pop() + self._chat_history.pop() else: # Reset to initial state with just system message if present - self._history = ( + self._chat_history = ( [{"role": "system", "content": self._model.system_instruction}] if self._model.system_instruction is not None else [] )
🧹 Nitpick comments (12)
graphrag_sdk/orchestrator/steps/agent.py (1)
97-98: Simplify .get() method callsThe
Nonedefault value is redundant as it's already the default return value for dict.get() when a key is not found.- json.get("session_id", None), - json.get("payload", None), + json.get("session_id"), + json.get("payload"),🧰 Tools
🪛 Ruff (0.8.2)
97-97: Use
json.get("session_id")instead ofjson.get("session_id", None)Replace
json.get("session_id", None)withjson.get("session_id")(SIM910)
98-98: Use
json.get("payload")instead ofjson.get("payload", None)Replace
json.get("payload", None)withjson.get("payload")(SIM910)
graphrag_sdk/orchestrator/steps/user_input.py (4)
36-44: Ensure type consistency between docstrings and type annotationsIn several docstrings, you're using
Dictwhile the type annotation usesdict. For consistency, consider usingdictin docstrings to match the type annotations in the signatures.""" Create a UserInputResult instance from a JSON dictionary. Args: - json (Dict): The input JSON dictionary. + json (dict): The input JSON dictionary. Returns: - UserInputResult: An instance of UserInputResult. + UserInputResult: An instance of UserInputResult. """
15-20: Remove extra blank lines in docstrings for better compactnessThe docstrings contain extra blank lines after "Args:" or before "Returns:" sections. These could be removed to make the docstrings more compact while maintaining readability.
Example:
""" Initialize a new UserInputProperties object. Args: question (str): The question to prompt the user. - """Also applies to: 24-29, 36-44, 66-71, 76-84, 90-95, 113-119, 136-141, 150-158, 173-181
173-181: Enhance run method docstring with more contextThe docstring for the
runmethod could provide more details about how the user input is prompted and processed. Consider adding information about how the user's input is collected and what happens with it.""" Run the user input step, prompting the user for input. Args: runner (OrchestratorRunner): The orchestrator runner instance. Returns: UserInputResult: The result of the user input step. + + Note: + The method displays the question from properties to the user via the + runner's get_user_input method and wraps the response in a UserInputResult. """
123-134: Consider adding docstrings to property methodsFor consistency with the rest of the codebase, you might want to add docstrings to the property methods (
id,block,properties) as well.Example:
@property def id(self) -> str: """ Get the identifier for this step. Returns: str: The step identifier. """ return self._idgraphrag_sdk/attribute.py (1)
5-5: Consider replacing wildcard importWildcard imports make it difficult to identify which names are being imported and may introduce naming conflicts.
-from graphrag_sdk.fixtures.regex import * +from graphrag_sdk.fixtures.regex import ( + # Import specifically needed regex patterns here +)🧰 Tools
🪛 Ruff (0.8.2)
5-5:
from graphrag_sdk.fixtures.regex import *used; unable to detect undefined names(F403)
graphrag_sdk/orchestrator/steps/summary.py (1)
37-47: Added method docstring for from_jsonWell-structured docstring with clear explanation of parameters and return value. Note the extra whitespace line 46-47 which isn't strictly necessary but doesn't affect functionality.
- """ - + """graphrag_sdk/orchestrator/orchestrator.py (2)
6-6: Remove the unused import.The static analysis identified that
OutputMethodis imported but not used. This should be removed to keep the code clean.-from graphrag_sdk.models.model import OutputMethod🧰 Tools
🪛 Ruff (0.8.2)
6-6:
graphrag_sdk.models.model.OutputMethodimported but unusedRemove unused import:
graphrag_sdk.models.model.OutputMethod(F401)
56-63: Return type mismatch in docstring.The docstring mentions returning
OrchestratorRunnerbut the method signature indicatesOrchestratorResult. Please correct the docstring to match the actual return type.- OrchestratorRunner: The result of executing the plan. + OrchestratorResult: The result of executing the plan.graphrag_sdk/orchestrator/orchestrator_decision.py (1)
47-48: Fix indentation in docstring.There's an indentation issue in the docstring "Args:" section which could affect tools that parse docstrings.
- Args: + Args:graphrag_sdk/models/litellm.py (1)
265-275: Consider updatingdelete_last_messageto use the new pattern.This method still refers to
self._model.system_instructionwhile the initialization now uses a passedsystem_instruction. Consider updating this method to maintain consistency.# Keep at least the system message if present - min_length = 1 if self._model.system_instruction else 0 + # Check if the first message is a system message + has_system_message = len(self._chat_history) > 0 and self._chat_history[0]["role"] == "system" + min_length = 1 if has_system_message else 0 if len(self._chat_history) - 2 >= min_length: self._chat_history.pop() self._chat_history.pop() else: # Reset to initial state with just system message if present - self._chat_history = ( - [{"role": "system", "content": self._model.system_instruction}] - if self._model.system_instruction is not None - else [] - ) + if has_system_message: + self._chat_history = [self._chat_history[0]] + else: + self._chat_history = []graphrag_sdk/steps/create_ontology_step.py (1)
139-151: Docstring parameter name mismatch.The docstring refers to a
documentparameter but the method signature hassource. The parameter descriptions should match the actual parameters to avoid confusion.- document (Document): The document to extract data from. + source (AbstractSource): The source to extract data from.
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📒 Files selected for processing (37)
graphrag_sdk/agents/agent.py(0 hunks)graphrag_sdk/agents/kg_agent.py(5 hunks)graphrag_sdk/attribute.py(5 hunks)graphrag_sdk/chat_session.py(1 hunks)graphrag_sdk/document_loaders/html.py(1 hunks)graphrag_sdk/document_loaders/pdf.py(1 hunks)graphrag_sdk/document_loaders/string.py(1 hunks)graphrag_sdk/document_loaders/text.py(1 hunks)graphrag_sdk/document_loaders/url.py(1 hunks)graphrag_sdk/entity.py(6 hunks)graphrag_sdk/helpers.py(8 hunks)graphrag_sdk/kg.py(8 hunks)graphrag_sdk/model_config.py(1 hunks)graphrag_sdk/models/azure_openai.py(4 hunks)graphrag_sdk/models/gemini.py(6 hunks)graphrag_sdk/models/litellm.py(3 hunks)graphrag_sdk/models/model.py(3 hunks)graphrag_sdk/models/ollama.py(4 hunks)graphrag_sdk/models/openai.py(5 hunks)graphrag_sdk/ontology.py(14 hunks)graphrag_sdk/orchestrator/execution_plan.py(1 hunks)graphrag_sdk/orchestrator/orchestrator.py(1 hunks)graphrag_sdk/orchestrator/orchestrator_decision.py(2 hunks)graphrag_sdk/orchestrator/orchestrator_runner.py(8 hunks)graphrag_sdk/orchestrator/step.py(3 hunks)graphrag_sdk/orchestrator/steps/agent.py(6 hunks)graphrag_sdk/orchestrator/steps/parallel.py(7 hunks)graphrag_sdk/orchestrator/steps/summary.py(5 hunks)graphrag_sdk/orchestrator/steps/user_input.py(6 hunks)graphrag_sdk/relation.py(11 hunks)graphrag_sdk/source.py(2 hunks)graphrag_sdk/steps/Step.py(1 hunks)graphrag_sdk/steps/create_ontology_step.py(5 hunks)graphrag_sdk/steps/extract_data_step.py(6 hunks)graphrag_sdk/steps/graph_query_step.py(3 hunks)graphrag_sdk/steps/qa_step.py(2 hunks)tests/test_kg_gemini.py(1 hunks)
💤 Files with no reviewable changes (1)
- graphrag_sdk/agents/agent.py
✅ Files skipped from review due to trivial changes (6)
- graphrag_sdk/document_loaders/pdf.py
- graphrag_sdk/document_loaders/text.py
- graphrag_sdk/document_loaders/string.py
- graphrag_sdk/document_loaders/url.py
- graphrag_sdk/document_loaders/html.py
- graphrag_sdk/source.py
🧰 Additional context used
🪛 Ruff (0.8.2)
graphrag_sdk/attribute.py
5-5: from graphrag_sdk.fixtures.regex import * used; unable to detect undefined names
(F403)
graphrag_sdk/orchestrator/orchestrator.py
6-6: graphrag_sdk.models.model.OutputMethod imported but unused
Remove unused import: graphrag_sdk.models.model.OutputMethod
(F401)
graphrag_sdk/orchestrator/steps/agent.py
97-97: Use json.get("session_id") instead of json.get("session_id", None)
Replace json.get("session_id", None) with json.get("session_id")
(SIM910)
98-98: Use json.get("payload") instead of json.get("payload", None)
Replace json.get("payload", None) with json.get("payload")
(SIM910)
⏰ Context from checks skipped due to timeout of 90000ms (1)
- GitHub Check: test
🔇 Additional comments (143)
graphrag_sdk/orchestrator/steps/agent.py (11)
1-2: Approved: Logger setup and Optional type added correctlyThe addition of the logging import and logger initialization follows best practices, and the Optional type import properly supports the type hints added to the class properties.
Also applies to: 9-9
12-14: Approved: Good class documentationThe added class docstring clearly explains the purpose of the AgentStepResult class.
17-23: Approved: Well-structured constructor documentationThe docstring follows a consistent format with Args section properly documenting parameters.
28-33: Approved: Clear method documentationThe added docstrings for to_json and from_json methods properly document the purpose, parameters, and return types.
Also applies to: 41-49
67-69: Approved: Good class documentationThe added class docstring clearly explains the purpose of the AgentProperties class.
71-71: Approved: Type hints with Optional parametersProper use of Optional type hints for parameters that can be None.
72-79: Approved: Well-structured constructor documentationThe docstring follows a consistent format with Args section properly documenting parameters.
122-124: Approved: Good class documentationThe added class docstring clearly explains the purpose of the AgentStep class.
127-133: Approved: Well-structured constructor documentationThe docstring follows a consistent format with Args section properly documenting parameters.
150-155: Approved: Clear method documentationThe added docstrings for to_json and from_json methods properly document the purpose, parameters, and return types.
Also applies to: 164-172
185-193: Approved: Comprehensive run method documentationThe run method's docstring clearly explains its purpose, parameters, and return type, which helps users understand the method's behavior.
graphrag_sdk/orchestrator/steps/user_input.py (2)
1-7: LGTM: Import statements well organizedThe import statements are well structured and organized.
10-12: LGTM: Class docstrings provide clear and concise descriptionsThe class docstrings are well-written, providing clear and concise descriptions of each class's purpose.
Also applies to: 61-63, 108-110
graphrag_sdk/models/ollama.py (6)
43-47: Improved error handling for client initialization.This change enhances robustness by adding proper try-except handling when initializing the Ollama client. Failed connections now produce clearer error messages in logs before re-raising the exception.
76-76: Better type safety with explicit parameter.The method signature has been improved by replacing generic
argswith a specificsystem_instructionparameter that includes proper type annotation. This makes the API more explicit and easier to use correctly.Also applies to: 81-81, 86-86
88-88: Method renamed from private to public scope.The method has been renamed from
_parse_generate_content_responsetoparse_generate_content_response, removing the underscore prefix that typically indicates a private method. This suggests intentional exposure as part of the public API.Confirm that this is an intentional change to make this method part of the public API, as removing the underscore prefix changes its implied accessibility level. If this method is meant to be used by external code, this change is appropriate. Otherwise, consider keeping the underscore prefix to indicate it's for internal use only.
140-140: Improved constructor parameter typing.The constructor now explicitly accepts
system_instructionwith proper type annotation instead of generic parameters, improving type safety and API clarity.Also applies to: 146-147
150-152: Cleaner chat history initialization.The chat history initialization now uses the explicit
system_instructionparameter, making the code more readable and maintainable.
182-182: Updated method call to match renamed method.This line has been updated to call the renamed
parse_generate_content_responsemethod, maintaining consistency with the earlier change.graphrag_sdk/steps/Step.py (1)
3-3: Added appropriate return type annotation.Good addition of the
-> Nonereturn type annotation to clearly indicate that this method doesn't return a value. This aligns with modern Python typing practices and improves code readability.tests/test_kg_gemini.py (1)
15-15: Simplified test dependencies.The removal of
osandvertexaiimports and thevertexai.init()call has streamlined this test file while maintaining functionality. This is a good cleanup that reduces unnecessary dependencies.graphrag_sdk/model_config.py (1)
34-34: Added explicit return type annotation.Good addition of the return type annotation
-> "KnowledgeGraphModelConfig"which properly identifies what this factory method returns. Using the string literal for the class name is the correct way to handle forward references within the same class.graphrag_sdk/chat_session.py (2)
59-61: Simplified chat session initialization.Good refactoring to directly use
start_chat(system_instruction)instead of separatewith_system_instructionandstart_chatcalls. This improves code readability and reduces unnecessary steps.
62-64: Consistent simplification of chat session initialization.This change maintains consistency with the other chat session initialization. Good cleanup.
graphrag_sdk/steps/qa_step.py (4)
2-2: Good addition of the Optional type import.Added import statement for Optional from typing is necessary to support the type hints in the method signatures.
18-19: Improved type annotations for optional parameters.The changes properly use Optional[dict] and Optional[str] instead of just dict and str with default None values, which follows Python typing best practices.
21-28: Well-structured docstring following standard format.The added docstring properly describes the method, its purpose, and documents all parameters using the standard "Args" section format.
33-44: Good addition of return type annotation and comprehensive docstring.The method signature now includes the return type (-> str), and the docstring provides clear documentation of parameters and return value. This follows good documentation practices.
graphrag_sdk/agents/kg_agent.py (6)
2-2: More specific import for KnowledgeGraph.Updated import statement to import directly from graphrag_sdk.kg instead of a potentially more general import path. This enhances code clarity.
58-64: Added return type and standardized docstring format.The setter method now includes a return type annotation (-> None) and the docstring now uses the "Args" section instead of "Parameters", following the standardized format.
72-74: Consistent docstring return description.Standardized return value description in the docstring to be consistent with the codebase style.
78-84: Added return type and standardized docstring format.The setter method now includes a return type annotation (-> None) and the docstring now uses the "Args" section instead of "Parameters", following the standardized format.
108-114: Added parameter type and return type with standardized docstring.The setter method now includes a parameter type annotation (KnowledgeGraph) and return type annotation (-> None). The docstring now uses the "Args" section instead of "Parameters".
131-131: Added return type annotation for repr.Added -> str return type annotation for the repr method, improving type clarity.
graphrag_sdk/orchestrator/step.py (4)
8-10: Added class docstring for StepBlockType.Good addition of a clear docstring that explains the purpose of the StepBlockType class.
18-29: Comprehensive docstring with Args, Returns, and Raises sections.The added docstring for from_str method follows best practices by clearly documenting the purpose, parameters, return type, and possible exceptions.
43-46: Added informative class docstring for PlanStep.Good addition of a docstring explaining that this is an abstract base class and mentioning the required properties and methods that subclasses need to implement.
65-76: Comprehensive docstring for factory method.The added docstring for from_json method provides excellent documentation including Args, Returns, and Raises sections, explaining that this is a factory method that creates PlanStep instances.
graphrag_sdk/entity.py (6)
1-1: Improved import organization.Moved the import of 're' module to the top of the file, following PEP 8 import ordering guidelines.
44-44: Added return type annotation for from_graph method.Added -> "Entity" return type annotation to the static method, enhancing type clarity.
67-72: Added return type annotation and improved parameter description.Added -> "Entity" return type annotation and improved the description of the txt parameter to clearly indicate it can be either a dictionary or a string.
102-102: Added return type annotation for merge method.Added -> "Entity" return type annotation, which matches the documentation that states the method returns the merged entity.
124-124: Added return type annotation for get_unique_attributes method.Added -> list[Attribute] return type annotation, providing clarity on the return type.
133-133: Added return type annotation for to_graph_query method.Added -> str return type annotation, which matches the documentation that states the method returns a Cypher query string.
graphrag_sdk/attribute.py (6)
4-4: Appropriate import updateGood addition of
Optionaltype annotation - ensures proper type hinting for nullable boolean fields.
38-38: Enhanced method signature with return typeAdding explicit return type annotation improves type checking and code readability.
75-77: Improved type safety with Optional parametersGood enhancement using
Optional[bool]for parameters that could be None, with corresponding docstring updates.Also applies to: 84-85
93-93: Added return type annotationAdding explicit return type for
from_jsonmethod improves type checking and code readability.
114-114: Added return type annotationAdding explicit return type for
from_stringmethod improves type checking and code readability.
141-141: Added return type annotationAdding explicit return type for
to_jsonmethod improves type checking and code readability.graphrag_sdk/orchestrator/execution_plan.py (5)
3-3: Optimized import statementRemoved unused import for better code cleanliness and reduced namespace pollution.
7-9: Added class docstringGood addition of a clear, concise class docstring explaining the purpose of the ExecutionPlan.
14-17: Added method docstring for initGood addition of parameter documentation for improved code readability.
22-30: Added method docstring for from_jsonComprehensive docstring with clear explanation of parameters and return value.
36-41: Added method docstring for to_jsonClear docstring with explanation of the method's purpose and return value.
graphrag_sdk/steps/graph_query_step.py (4)
3-3: Added Optional importGood addition of Optional type annotation for improved type hinting.
29-32: Enhanced parameter type safetyGood use of Optional type annotations for parameters that could be None.
34-45: Added comprehensive docstringWell-structured docstring clearly explaining all method parameters, improving code readability.
54-64: Improved run method signature and documentationGood enhancement to specify Optional[int] for retries parameter with a complete docstring that includes parameter details and return type.
graphrag_sdk/orchestrator/steps/summary.py (9)
1-1: Updated import statementClean import for logging module.
11-13: Added class docstring for SummaryResultClear, concise class docstring that explains the purpose of the class.
16-21: Added method docstring for initWell-structured docstring with clear parameter description.
25-30: Added method docstring for to_jsonGood docstring explaining method purpose and return value.
63-65: Added class docstring for SummaryStepClear, concise class docstring that explains the purpose of the class.
68-74: Added method docstring for initWell-structured docstring with clear parameter descriptions.
91-96: Added method docstring for to_jsonGood docstring explaining method purpose and return value.
105-113: Added method docstring for from_jsonWell-structured docstring with clear explanation of parameters and return value.
126-134: Added method docstring for runComprehensive docstring clearly explaining method purpose, parameters, and return value.
graphrag_sdk/orchestrator/orchestrator.py (3)
37-43: Good addition of return type annotation.Adding the return type annotation for
_get_chatimproves code clarity and supports better IDE integration.
45-49: API change fromwith_system_instructiontostart_chat.The method used to initialize the chat session has been standardized to use
start_chatinstead ofwith_system_instruction, which improves consistency across the codebase.
82-94: Well-documented method with proper return type.The addition of a comprehensive docstring with parameter descriptions, return type, and potential exceptions greatly improves code readability and maintainability.
graphrag_sdk/orchestrator/orchestrator_decision.py (3)
2-2: Good use ofOptionaltype.Using
Optionalfrom typing module is a cleaner approach than usingUnion[Type, None].
42-42: Improved type annotation withOptional.Replacing
Union[PlanStep, None]withOptional[PlanStep]makes the code more readable and follows Python type hinting best practices.
54-76: Well-documented methods with consistent formatting.The docstrings added to
to_jsonandfrom_jsonmethods follow a consistent format and provide clear descriptions of parameters and return values.graphrag_sdk/orchestrator/steps/parallel.py (4)
1-3: Improved imports and type hints.Adding the
Optionalimport and using a more explicit import forPlanStepenhances code clarity and maintainability.
10-12: Consistent class documentation.Adding clear and concise docstrings to all classes provides a good understanding of their purpose and improves code readability.
Also applies to: 64-66, 114-116
176-176: Better type annotation withOptional.Using
Optional[dict]instead ofdict = Noneis a more explicit and type-safe way to indicate that the parameter can be None.
178-187: Comprehensive method documentation.The docstring for the
runmethod provides clear information about its purpose, parameters, and return value, which enhances code maintainability.graphrag_sdk/models/litellm.py (3)
106-106: Interface improvement for starting chat sessions.Changing from
argsdictionary to explicitsystem_instructionparameter makes the API more intuitive and less error-prone. This is a good design improvement.Also applies to: 116-116
179-179: Consistent parameter naming in class constructor.The constructor now accepts
system_instructiondirectly instead of extracting it from anargsdictionary, which aligns with the changes in thestart_chatmethod and creates a more consistent API.Also applies to: 189-191
236-243: Useful addition ofget_chat_historymethod.Adding a method to safely retrieve a copy of the chat history improves the API and follows good encapsulation practices by not exposing the internal state directly.
graphrag_sdk/models/azure_openai.py (3)
50-60: Updated API improves clarity and type safety.The parameter change from
args: Optional[dict]tosystem_instruction: Optional[str]makes the API more explicit and easier to understand. This aligns with the changes in other model implementations.
150-163: Improved initialization for chat history.The change to use
system_instructiondirectly rather than extracting it fromargsmakes the code more straightforward and reduces indirection.
187-195: Good addition of chat history accessor.Adding a
get_chat_historymethod with proper documentation improves the API's usability and follows good encapsulation practices.graphrag_sdk/models/model.py (3)
2-2: Simplified typing imports.Using
Optionalfrom typing instead ofUnion[type, None]follows modern Python typing best practices.
32-37: Improved type annotations.Switching from
Union[type, None]toOptional[type]improves code readability and follows PEP recommendations for typing.
101-101: Standardized API across model classes.Updating the abstract method signature for
start_chatensures consistent API design across all model implementations.graphrag_sdk/models/openai.py (3)
38-40: Added important validation for API key.Adding a validation check for the OpenAI API key prevents cryptic errors that might occur later when trying to use the client.
42-51: Updated API improves clarity and simplicity.Changing from
argsdictionary to explicitsystem_instructionparameter improves the API's usability and makes dependencies clearer.
129-138: Improved message handling logic.The code now consistently uses
_chat_historyfor managing the conversation and clearly separates configuration from the message flow.graphrag_sdk/helpers.py (4)
11-20: Added clear and helpful docstring.The docstring follows a good format with sections for Args and Returns, making the code more maintainable and self-documenting.
33-42: Added return type annotation and docstring.Adding explicit return type annotations and clear documentation improves code readability and helps with type checking.
119-128: Improved type annotations and documentation.The use of
Optional[list[str]]for the return type is more precise than leaving it unspecified, and the docstring clearly explains what the return value means.
153-163: Added return type annotation and comprehensive docstring.The return type annotation and docstring clearly specify what the function does and what it returns, following good documentation practices.
graphrag_sdk/orchestrator/orchestrator_runner.py (6)
1-2: Import organization improvement.Good addition of the
Optionaltype from the typing module to replace explicit Union types with None.
148-157: Improved type annotation with Optional.Good change from
Union[GenerativeModelChatSession, None]to the more idiomaticOptional[GenerativeModelChatSession]for the return type. This improves code readability and type checking.
195-196: Enhanced error handling for empty execution plans.Adding explicit error handling for empty execution plans is a good improvement. This makes the code more robust by failing faster with a clear error message.
231-232: Comprehensive error handling for decision codes.Adding an else clause to handle unrecognized decision codes improves error handling and will help with debugging. This makes it easier to identify when new decision codes are added without corresponding handlers.
306-318: Improved type annotation and docstring.Good update to use
Optional[PlanStep]instead ofUnion[PlanStep, None]. The comprehensive docstring also helps clarify the purpose and expected behavior of this method.
75-76:❓ Verification inconclusive
Verify default value handling for user_question.
The parameter type has been changed from a default empty string to
Optional[str] = None, but it's not clear if the code handles None values properly throughout the class.
🏁 Script executed:
#!/bin/bash # Checking how user_question is used throughout the file rg -A 2 "self._user_question" graphrag_sdk/orchestrator/orchestrator_runner.pyLength of output: 302
Attention: Confirm intended null handling for
user_question
- The parameter
user_question: Optional[str] = Noneis now directly assigned toself._user_questionwithout any additional normalization or null-check, and later returned as-is.- Verify that downstream code does not assume a non-null string (as was the case with the previous default of an empty string). If any string operations are performed on this attribute, additional handling might be required.
- Please confirm whether this change is intentional or if further safeguards should be introduced.
graphrag_sdk/models/gemini.py (6)
2-8: Improved imports organization.Good reorganization of the imports, adding
Optionaltype and organizing the imports from Google's generative AI library more clearly.
29-30: Improved type annotations with Optional.Good change from
Union[Type, None]to the more idiomaticOptional[Type]. This improves code readability and follows modern Python type annotation best practices.
44-70: Added well-documented start_chat method.Excellent addition of the
start_chatmethod with comprehensive documentation. This change improves the API by providing a clear way to create a chat session with an optional system instruction.
132-141: Simplified GeminiChatSession initialization.Good simplification of the
GeminiChatSessionconstructor by removing the unusedargsparameter. This makes the API more straightforward and easier to understand.
154-155: Method name mismatch.You've renamed the method from
_get_generation_configto_adjust_generation_configat line 158, but the call at line 155 is still using the new method name. This suggests that you've properly updated both the definition and all call sites.
158-167: Improved method name and return type annotation.Good renaming of
_get_generation_configto_adjust_generation_configwhich better describes what the method does. The added return type annotation and comprehensive docstring further improve code clarity.graphrag_sdk/relation.py (9)
2-5: Improved imports.Added explicit import of
jsonwhich was likely implicitly imported before. Good organization with the addition ofOptionaltype.
37-38: Added return type annotation.Good addition of return type annotation
-> "_RelationEntity"which improves type checking and code documentation.
50-51: Added return type annotation.Good addition of return type annotation
-> dictwhich improves type checking and code documentation.
103-112: Added Optional type to attributes parameter.Good change from
attributes: list[Attribute]toattributes: Optional[list[Attribute]]. The docstring has also been updated to reflect that this parameter is optional.
131-144: Added return type annotation.Good addition of return type annotation
-> "Relation"which improves type checking and code documentation.
158-167: Added return type annotation.Good addition of return type annotation
-> "Relation"which improves type checking and code documentation.
181-189: Added return type annotation.Good addition of return type annotation
-> "Relation"which improves type checking and code documentation.
222-231: Added return type annotation.Good addition of return type annotation
-> "Relation"which improves type checking and code documentation.
242-248: Added return type annotation.Good addition of return type annotation
-> strwhich improves type checking and code documentation.graphrag_sdk/steps/create_ontology_step.py (4)
43-55: Improved parameter typing and documentation.Good change to make
configandhide_progressoptional with proper default values. The comprehensive docstring clearly explains the purpose of each parameter.
58-66: Added defensive programming for config parameter.Good addition of a check for None and providing default configuration values. This makes the code more robust against unexpected inputs.
71-78: Improved chat session creation with return type.Good improvement with the addition of a return type annotation and using the model's
start_chatmethod. This enhances type checking and aligns with changes in the model classes.
286-301: Improved parameter typing and documentation.Good change to make
retryoptional with proper type annotation. The comprehensive docstring clearly explains the purpose, parameters, return value, and possible exceptions.graphrag_sdk/kg.py (8)
43-55: Documentation standardization looks good.The docstring for the
__init__method has been properly updated to use "Args" instead of "Parameters", and the parameters have been correctly annotated withOptionaltype hints. This enhances type safety and follows Python documentation standards.
149-157: Proper type annotation for optional parameters.Appropriate use of
Optionaltype hints for parameters that can be None. This improves code clarity and enables better static type checking.
167-176: Added missing method documentation.Good addition of a comprehensive docstring for the private
_create_graph_with_sourcesmethod, including parameter descriptions and return type information.
204-209: Added missing chat_session documentation.Added a clear and concise docstring for the
chat_sessionmethod that describes its purpose and return type, which was missing before.
213-213: Added return type annotation.Properly added
Nonereturn type annotation to theadd_nodemethod, which improves type clarity.
234-237: Consistent optional parameter type hints.Properly updated parameters with
Optionaltype hints and added the return type annotation, enhancing type safety.
263-270: Added missing private method documentation.Good addition of a comprehensive docstring for the
_validate_entitymethod, which was previously undocumented.
286-297: Added missing private method documentation.Good addition of a comprehensive docstring for the
_validate_relationmethod, improving code readability and maintainability.graphrag_sdk/steps/extract_data_step.py (8)
48-61: Improved constructor type annotations and documentation.Good update to use
Optionalfor parameters that can be None, along with a comprehensive docstring that describes all parameters.
65-72: Improved null handling for config parameter.The refactored code properly handles the case when
configis None, providing a default configuration dictionary instead of relying on truthiness checks.
81-82: Added return type annotation for chat creation method.Added proper return type annotation for the
_create_chatmethod which returns aGenerativeModelChatSession.
84-90: Proper documentation for run method.Added a clear docstring for the
runmethod and made theinstructionsparameter optional with proper type annotation.
139-156: Improved type hints and documentation for process_document method.Good update to use
Optionalfor parameters that can be None, along with a comprehensive docstring that explains the method's purpose.
255-263: Added clear documentation for entity creation method.The docstring for
_create_entityprovides clear information about parameters and purpose, along with proper return type annotation.
295-303: Added clear documentation for relation creation method.The docstring for
_create_relationprovides clear information about parameters and purpose, along with proper return type annotation.
355-370: Added return type and comprehensive documentation for model call method.The
_call_modelmethod now has a proper return type annotation and detailed docstring that includes parameter descriptions, return type explanation, and potential exceptions.graphrag_sdk/ontology.py (8)
5-7: Updated imports for better code organization.Changed from absolute to relative imports for Entity class and added Optional type hint from typing module.
44-51: Improved constructor parameter typing.Updated the constructor to use
Optionaltype hints for parameters that can be None, along with updated docstring descriptions.
84-84: Added explicit return type for from_json method.Added proper return type annotation for the
from_jsonstatic method, which returns anOntologyinstance.
104-104: Added explicit return type for from_schema_graph method.Added proper return type annotation for the
from_schema_graphstatic method, which returns anOntologyinstance.
128-139: Improved type hints for from_kg_graph method.Added
Optionaltype hint for thesample_sizeparameter and updated its docstring, along with adding a return type annotation.
176-176: Added return type for add_entity method.Added
Nonereturn type annotation to clearly indicate that the method doesn't return a value.
185-185: Added return type for add_relation method.Added
Nonereturn type annotation to clearly indicate that the method doesn't return a value.
301-301: Added explicit return types to multiple methods.Added appropriate return type annotations to various methods:
validate_entities->boolget_entity_with_label->Optional[Entity]get_relations_with_label->list[Relation]has_entity_with_label->boolhas_relation_with_label->boolsave_to_graph->NoneThis improves type safety and code clarity.
Also applies to: 327-327, 339-339, 351-351, 363-363, 389-389
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🧹 Nitpick comments (1)
graphrag_sdk/orchestrator/orchestrator.py (1)
7-7: Remove unused importOutputMethod.The
OutputMethodis imported but not used anywhere in this file. Static analysis has flagged this as well.- from graphrag_sdk.models.model import OutputMethod🧰 Tools
🪛 Ruff (0.8.2)
7-7:
graphrag_sdk.models.model.OutputMethodimported but unusedRemove unused import:
graphrag_sdk.models.model.OutputMethod(F401)
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graphrag_sdk/helpers.py(8 hunks)graphrag_sdk/orchestrator/orchestrator.py(1 hunks)
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graphrag_sdk/orchestrator/orchestrator.py
7-7: graphrag_sdk.models.model.OutputMethod imported but unused
Remove unused import: graphrag_sdk.models.model.OutputMethod
(F401)
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🔇 Additional comments (1)
graphrag_sdk/orchestrator/orchestrator.py (1)
2-2: Great improvements to type annotations and documentation!The added type annotations, optional parameters, and standardized docstrings significantly improve code clarity and make the API more consistent. The transition from
with_system_instructiontostart_chatalso helps streamline the chat session interface.Also applies to: 26-32, 38-44, 46-50, 57-64, 67-76, 83-95
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graphrag_sdk/orchestrator/orchestrator.py
7-7: graphrag_sdk.models.model.OutputMethod imported but unused
Remove unused import: graphrag_sdk.models.model.OutputMethod
(F401)
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🔇 Additional comments (4)
graphrag_sdk/orchestrator/orchestrator.py (4)
2-2: Good use of theOptionaltype annotation.Using
Optional[str]for thebackstoryparameter clearly communicates that this parameter can acceptNone, enhancing type safety and API clarity.Also applies to: 26-33
39-45: Excellent addition of type annotations and docstrings.The addition of return type annotations along with comprehensive docstrings following a consistent format with Args, Returns, and Raises sections greatly improves code readability and maintainability.
Also applies to: 58-67, 71-79, 86-98
66-66: Correct return type in docstring.The docstring now correctly states that the method returns
OrchestratorResult, which aligns with the return type annotation on line 58 and the actual implementation on line 68.
47-51:✅ Verification successful
Verify API consistency with
start_chat.The change from using
with_system_instructiontostart_chatappears to be part of a broader API standardization effort mentioned in the PR summary. Ensure that this change is consistent with updates to other model implementations.
🏁 Script executed:
#!/bin/bash # Check for any remaining instances of 'with_system_instruction' in the codebase rg "with_system_instruction" --type pyLength of output: 38
API Standardization Verification for
start_chatThe change from using
with_system_instructiontostart_chatappears complete, as no lingering references to the old method were found. However, please manually verify that all model implementations across the codebase consistently follow this updated API. Specifically:
- Confirm that every model implementation adopts the
start_chatmethod in place ofwith_system_instruction.- Ensure that any additional interface-specific changes accompanying this standardization effort have been uniformly applied.
🏁 Script executed:
[run_scripts] #!/bin/bash # Search for definitions and invocations of 'start_chat' to confirm consistency across the codebase. echo "Searching for definitions of 'start_chat':" rg -n "def start_chat(" --type py echo "Searching for invocations of 'start_chat':" rg -n "start_chat(" --type pyLength of output: 545
Ensure Consistent API Usage for
start_chatThe update in
graphrag_sdk/orchestrator/orchestrator.pynow usesstart_chatinstead ofwith_system_instructionas part of the broader API standardization effort. Please verify that:
- There are no remaining references to
with_system_instructionanywhere in the codebase.- All model implementations consistently define and invoke the
start_chatmethod.The above script (with corrected regex escapes) can help spot-check definitions and invocations. If no inconsistencies are found, the change is aligned with the API standardization. However, manual confirmation across all affected modules is recommended.
🏁 Script executed:
[run_scripts] #!/bin/bash # Corrected regex to search for definitions and invocations of 'start_chat' echo "Searching for definitions of 'start_chat':" rg -n 'def start_chat\(' --type py echo "Searching for invocations of 'start_chat':" rg -n 'start_chat\(' --type pyLength of output: 2705
API Standardization Verified:
start_chatis Consistently AppliedThe search results confirm that all model implementations—including those in
azure_openai.py,gemini.py,litellm.py,model.py,openai.py, andollama.py—define and invokestart_chatcorrectly. No references towith_system_instructionremain in the codebase, so the updated API usage ingraphrag_sdk/orchestrator/orchestrator.pyis consistent with the broader effort.
Summary by CodeRabbit
New Features
Refactor
Documentation