fix:moderize_signatures #10
Conversation
update method kwargs for latest OPM
WalkthroughThe changes involve updates to the Changes
Sequence Diagram(s)sequenceDiagram
participant User
participant OpenAIDialogTransformer
participant OpenAIPersonaSolver
User->>OpenAIDialogTransformer: transform(dialog, context)
OpenAIDialogTransformer->>OpenAIPersonaSolver: get_spoken_answer(query, lang)
OpenAIPersonaSolver-->>OpenAIDialogTransformer: return spoken answer
OpenAIDialogTransformer-->>User: return transformed dialog
Poem
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Actionable comments posted: 1
🧹 Outside diff range and nitpick comments (3)
ovos_solver_openai_persona/prompts.py (2)
23-23: Consider addressing the TODO commentThe TODO comment for intro question from skill settings should be addressed for completeness.
Would you like me to help implement the intro question configuration or create an issue to track this?
Outdated OpenAI Model Detected
The model "text-davinci-03" is still in use and should be updated to a current model like "gpt-3.5-turbo" or "gpt-4".
- File: ovos_solver_openai_persona/prompts.py
- Line 10:
config["model"] = "text-davinci-03"🔗 Analysis chain
Line range hint
8-10: Verify the OpenAI model versionThe hardcoded model "text-davinci-03" appears to be outdated. Current OpenAI models use a different naming convention.
Consider updating to a current model like "gpt-3.5-turbo" or "gpt-4", depending on your requirements.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Search for model references across the codebase rg "text-davinci" -A 2 -B 2 # Check if there's a central configuration or constants file fd -e py -e json -e yaml -x grep -l "model.*davinci"Length of output: 138
Script:
#!/bin/bash # Find all assignments to the "model" key in Python files ast-grep --pattern 'config["model"] = $_' --language python . # Search for model definitions in JSON and YAML configuration files rg '"model"\s*:\s*' -A 2 -t json -t yaml # List all unique model names used in the codebase fd -e py -e json -e yaml -x grep -o '"model"\s*:\s*"[^"]+"' | sort | uniqLength of output: 520
Script:
#!/bin/bash # Corrected ast-grep command to find all assignments to the "model" key in Python files ast-grep --pattern 'config["model"] = $_' --lang python . # Updated rg command to search for "model" definitions in JSON and YAML configuration files without type restrictions rg '"model"\s*:\s*' -A 2 # Enhanced search patterns to include current OpenAI model naming conventions fd -e py -e json -e yaml -x grep -Eo '"model"\s*:\s*"gpt-3\.5-turbo"|"gpt-4"' | sort | uniqLength of output: 906
ovos_solver_openai_persona/__init__.py (1)
Line range hint
1-64: Consider version management for breaking changesGiven the breaking changes in the API signature, consider:
- Bumping the major version number following semver
- Adding a deprecation period where both old and new signatures are supported
- Updating the changelog to document the breaking changes
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
📒 Files selected for processing (3)
ovos_solver_openai_persona/__init__.py(3 hunks)ovos_solver_openai_persona/engines.py(3 hunks)ovos_solver_openai_persona/prompts.py(3 hunks)
🔥 Files not summarized due to errors (1)
- ovos_solver_openai_persona/engines.py: Error: Server error: no LLM provider could handle the message
🔇 Additional comments (6)
ovos_solver_openai_persona/prompts.py (3)
1-1: LGTM: Type hint import added correctly
The addition of Optional from typing is appropriate for the new type hints.
18-20: LGTM: Well-structured property implementation
Good conversion to a property with proper type annotation and fallback value.
57-71: 🛠️ Refactor suggestion
Verify usage of new parameters
While the signature modernization looks good, there are some concerns:
- The new parameters
langandunitsare not used in the implementation - The docstring is well-formatted but doesn't explain how these parameters affect the behavior
#!/bin/bash
# Search for interface definition or parent class usage
ast-grep --pattern 'class $_ implements $_'
ast-grep --pattern 'def get_spoken_answer($$$)'
# Look for usage patterns of lang and units
rg "get_spoken_answer.*lang.*units" -A 5Consider one of these approaches:
- If the parameters are required by the interface but not needed here:
def get_spoken_answer(self, query: str,
lang: Optional[str] = None,
units: Optional[str] = None) -> Optional[str]:
"""
Obtain the spoken answer for a given query.
Args:
query (str): The query text.
lang (Optional[str]): Language code (currently not used in implementation).
units (Optional[str]): Units preference (currently not used in implementation).
Returns:
Optional[str]: The spoken answer as a text response.
"""
# Implementation remains the same- If the parameters should affect the behavior:
def get_spoken_answer(self, query: str,
lang: Optional[str] = None,
units: Optional[str] = None) -> Optional[str]:
"""
Obtain the spoken answer for a given query.
Args:
query (str): The query text.
lang (Optional[str]): Language code for the response.
units (Optional[str]): Preferred unit system (metric/imperial).
Returns:
Optional[str]: The spoken answer as a text response.
"""
persona = self.default_persona
if lang:
# Modify prompt to specify response language
persona = f"{persona} The assistant must respond in {lang}."
if units:
# Modify prompt to specify unit preference
persona = f"{persona} The assistant must use {units} units."
prompt = self.get_prompt(query, persona)
# Rest of implementationovos_solver_openai_persona/__init__.py (3)
1-1: LGTM: Type hint import added correctly
The addition of Optional from typing module is appropriate for the new type hints.
29-42: LGTM: Improved type safety and documentation
The addition of type hints and comprehensive docstring improves code safety and maintainability.
63-64: LGTM: Updated example with multilingual test
The example has been properly updated to use the new lang parameter and demonstrates multilingual support.
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Actionable comments posted: 0
🧹 Outside diff range and nitpick comments (2)
ovos_solver_openai_persona/dialog_transformers.py (2)
27-27: Add parameter validation for langConsider adding validation for the
langparameter before passing it toget_spoken_answer. The current implementation might pass None if "lang" is not in context.- return self.solver.get_spoken_answer(f"{prompt} : {dialog}", lang=context.get("lang")), context + lang = context.get("lang") if context else None + # Default to 'en-us' if no language specified + lang = lang or "en-us" + return self.solver.get_spoken_answer(f"{prompt} : {dialog}", lang=lang), context
27-27: Consider documenting the language parameterThe addition of the language parameter is a significant change in behavior that should be documented in the method's docstring.
def transform(self, dialog: str, context: dict = None) -> Tuple[str, dict]: """ Optionally transform passed dialog and/or return additional context :param dialog: str utterance to mutate before TTS + :param context: dict containing transformation context, including 'lang' for language :returns: str mutated dialog """
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
📒 Files selected for processing (2)
ovos_solver_openai_persona/dialog_transformers.py(1 hunks)ovos_solver_openai_persona/prompts.py(0 hunks)
💤 Files with no reviewable changes (1)
- ovos_solver_openai_persona/prompts.py
🔇 Additional comments (1)
ovos_solver_openai_persona/dialog_transformers.py (1)
27-27: Verify backwards compatibility with OpenAIChatCompletionsSolver
The addition of the lang parameter needs verification to ensure compatibility with the base solver implementation.
✅ Verification successful
Backwards compatibility confirmed with OpenAIChatCompletionsSolver
The get_spoken_answer method accepts the lang parameter with a default value, ensuring backward compatibility.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Check if OpenAIChatCompletionsSolver.get_spoken_answer accepts lang parameter
# Expected: Find the method definition to verify parameter list
# Search for get_spoken_answer method in the solver
ast-grep --pattern 'def get_spoken_answer($$$)'
# Also check for any imports or usage of this method
rg -l "get_spoken_answer"
Length of output: 212
Script:
#!/bin/bash
# Description: Extract the method signature of get_spoken_answer to verify if it accepts 'lang' parameter.
# Use ripgrep to find and display the method signature lines
rg "def get_spoken_answer" ovos_solver_openai_persona/**/*.py
Length of output: 140
Script:
#!/bin/bash
# Description: Extract the method signature of get_spoken_answer to verify if it accepts 'lang' parameter.
# Use ripgrep to recursively find and display the method signature lines in Python files
rg "def get_spoken_answer" ovos_solver_openai_persona --type py
Length of output: 312
Script:
#!/bin/bash
# Description: Extract complete method signatures of get_spoken_answer to verify if it accepts 'lang' parameter.
# Use ripgrep to find and display the full method signature by including lines after the match
rg "def get_spoken_answer" ovos_solver_openai_persona --type py -A 3
Length of output: 1085
update method kwargs for latest OPM
Summary by CodeRabbit
New Features
get_spoken_answermethod to accept a mandatoryqueryand optionallangandunitsparameters, enhancing usability.Bug Fixes
get_spoken_answerto directly usedefault_persona, streamlining persona retrieval.transformmethod to pass language context for improved dialog transformations.Documentation
get_spoken_answermethod to clarify parameters and return types.Chores
OpenAIPersonaPromptSolverclass, streamlining the codebase by eliminating unnecessary functionality.