updates

[github-actions[bot]]

(🤖 AI Generated)

Pull Request Description

Summary

Refactored app.py by moving the AppConfig and GraphExecutor classes into separate modules (config.py and graphs.py respectively) to improve code modularity and maintainability. Updated command-line argument parsing to introduce new options and defaults. Restructured the main application logic into an app() function for better readability and testability.

Files Changed

• code/app.py:
  • Removed AppConfig and GraphExecutor classes from this file.
  • Added imports for AppConfig and GraphExecutorFactory from their new modules.
  • Removed unused imports (io, dataclass, Optional, HumanMessage, Literal).
  • Updated the parse_arguments() function to modify existing arguments and add new ones.
  • Added a new app(config) function containing the core application logic.
  • Simplified the main() function to call app(config) after setting up logging and parsing arguments.

Code Changes

• Imports Updated:

  # Removed imports
  - import io
  - from dataclasses import dataclass
  - from typing import Optional, TextIO
  - from langchain_core.messages import HumanMessage
  - from typing_extensions import Literal
  
  # Added imports
  + from typing import TextIO
  + from fabric_agent_action.config import AppConfig
  + from fabric_agent_action.graphs import GraphExecutorFactory

• AppConfig Class Removed:

  • The AppConfig class has been moved to fabric_agent_action.config.
  • This change improves modularity by separating configuration-related code.

• GraphExecutor Class Removed:

  • The GraphExecutor class has been moved to fabric_agent_action.graphs.
  • Replaced with GraphExecutorFactory.create(config) in the app() function.

• Modified parse_arguments() Function:

  • Input File Argument:

  • default=sys.stdin,
  • help="Input file (default: stdin)",
  • required=True,
  • help="Input file",

  • The --input-file argument is now required, and the default has been removed.
  • Agent Type Argument:

  • choices=["single_command", "react"],
  • default="single_command",
  • help="Type of agent (default: single_command)",
  • choices=["router", "react", "react_issue", "react_pr"],
  • default="router",
  • help="Type of agent (default: router)",

  • Updated available choices and default value for --agent-type.
  • New Agent Arguments Added:

  • agent_group.add_argument(
  • "--agent-preamble-enabled",
  • action="store_true",
  • help="Enable preamble in output",
  • )
  • agent_group.add_argument(
  • "--agent-preamble",
  • type=str,
  • default="##### (🤖 AI Generated)",
  • help="Preamble added to the beginning of output (default: ##### (🤖 AI Generated)",
  • )

  • Fabric Arguments Updated:

  • default="",

  • Added default empty strings for --fabric-patterns-included and --fabric-patterns-excluded.

  • fabric_group.add_argument(
  • "--fabric-max-num-turns",
  • type=int,
  • default=10,
  • help="Maximum number of turns to LLM when running fabric patterns (default: 10)",
  • )

  • Added --fabric-max-num-turns argument with a default value of 10.

• Added app(config) Function:

  def app(config: AppConfig) -> None:
    input_str = read_input(config.input_file)
  
    llm_provider = LLMProvider(config)
    fabric_llm = llm_provider.createFabricLLM()
    fabric_tools = FabricTools(
        fabric_llm.llm,
        fabric_llm.use_system_message,
        fabric_llm.max_number_of_tools,
        config.fabric_patterns_included,
        config.fabric_patterns_excluded,
    )
  
    agent_builder = AgentBuilder(config.agent_type, llm_provider, fabric_tools)
    graph = agent_builder.build()
  
    executor = GraphExecutorFactory.create(config)
    executor.execute(graph, input_str)

  • Consolidated the core logic from main() into app() for improved readability and reusability.

• Simplified main() Function:

  def main() -> None:
    # ... setup logging and parse arguments ...
  
    app(config)
  
    # ... handle exceptions and cleanup ...

  • Now primarily responsible for setup and invoking app(config).

Reason for Changes

• Improve Code Modularity:

  • Separating AppConfig and GraphExecutor into their own modules enhances code organization.
  • Facilitates easier maintenance and future extensions.

• Enhance Command-Line Interface:

  • Updated arguments provide users with more flexibility and control over the application's behavior.
  • Added support for new agent types and configurable options.

• Increase Readability and Testability:

  • Moving the core logic into the app() function makes the codebase cleaner.
  • Simplifies unit testing by isolating the application logic.

Impact of Changes

• User Interface Changes:

  • The --input-file argument is now mandatory; users must provide an input file.
  • New agent types and options are available, altering how users interact with the application.

• No Change in Core Functionality:

  • The application's primary functionality remains the same.
  • Refactoring should not affect the execution flow or output.

• Improved Maintainability:

  • The codebase is better organized, making it easier for future contributors to understand and modify.

Test Plan

• Unit Testing:

  • Run existing unit tests to verify that the refactoring did not introduce regressions.
  • Add new tests for the app() function and any new arguments.

• Manual Testing:

  • Execute the application with various combinations of command-line arguments.
  • Test all new agent types (router, react, react_issue, react_pr) to ensure they function correctly.
  • Verify that the application handles missing required arguments appropriately.

• Validation of Defaults and Help Messages:

  • Check that default values are correctly applied.
  • Ensure that help messages display the correct information.

Additional Notes

• Documentation Update:

  • Update the user documentation to reflect changes in command-line arguments and usage.
  • Provide examples demonstrating the new agent types and options.

• User Awareness:

  • Inform users about the change requiring --input-file to prevent confusion.
  • Highlight the new features and how they can benefit from the added flexibility.

• Future Improvements:

  • Consider adding more unit tests for newly added modules (config.py, graphs.py).
  • Evaluate the need for further refactoring to enhance code quality.

[xvnpw]

/fabric create summary

[github-actions[bot]]

ONE SENTENCE SUMMARY:

Refactored app.py for improved modularity, maintainability, and testability by restructuring classes, updating CLI options, and enhancing readability.

MAIN POINTS:

1. AppConfig and GraphExecutor classes moved to separate modules for better modularity.
2. Removed unused imports and updated necessary imports in app.py.
3. parse_arguments() function updated with new options and defaults.
4. Introduced a new app(config) function to consolidate core application logic.
5. Simplified main() function to focus on setup and invoking app(config).
6. New command-line arguments added for agent preamble and fabric max turns.
7. --input-file argument is now mandatory, removing the default stdin.
8. Enhanced agent type options with new choices and default value.
9. Improved code readability and testability by isolating application logic.
10. No change in core functionality, but enhanced user interface and maintainability.

TAKEAWAYS:

1. Code refactoring enhances modularity and maintainability by separating concerns.
2. Updating CLI options provides users with more flexibility and control.
3. Consolidating logic into functions improves readability and testability.
4. Mandatory input arguments ensure necessary data is provided by users.
5. Improved code organization aids future maintenance and extension efforts.