Sentiment analysis framework

INTRO

• Here is a draft structure of Python-based project with an OOP design.
• It focuses on sentiment analysis for text files stored in a nested directory.
• The design incorporates multiple sentiment analysis frameworks and flexible configurations for each, while storing results in a JSON file.

import os
from abc import ABC, abstractmethod

class ConfigManager:
    """
    Responsible for loading and managing configuration files for different sentiment analysis frameworks.
    """
    def __init__(self, config_dir: str):
        self.config_dir = config_dir

    def load_config(self, framework_name: str) -> dict:
        """
        Loads configuration for the specified framework.
        
        :param framework_name: Name of the sentiment analysis framework.
        :return: Dictionary with configuration parameters.
        """
        # Placeholder for loading configuration logic
        pass


class TextFileProcessor:
    """
    Handles discovery and reading of text files from the nested directory.
    """
    def __init__(self, base_dir: str):
        self.base_dir = base_dir

    def get_text_files(self) -> list:
        """
        Recursively fetches all text files in the nested directory.

        :return: List of file paths.
        """
        # Placeholder for file discovery logic
        pass

    def read_file(self, file_path: str) -> str:
        """
        Reads the content of a text file.

        :param file_path: Path to the text file.
        :return: File content as a string.
        """
        # Placeholder for file reading logic
        pass


class SentimentAnalyzer(ABC):
    """
    Abstract base class for all sentiment analysis frameworks.
    """
    def __init__(self, config: dict):
        self.config = config

    @abstractmethod
    def analyze(self, text: str) -> dict:
        """
        Analyzes the sentiment of the provided text.

        :param text: Input text for sentiment analysis.
        :return: Dictionary containing analysis metrics.
        """
        pass


class FrameworkAAnalyzer(SentimentAnalyzer):
    """
    Implements sentiment analysis using Framework A.
    """
    def analyze(self, text: str) -> dict:
        """
        Uses Framework A to analyze sentiment.

        :param text: Input text for sentiment analysis.
        :return: Dictionary with metrics from Framework A.
        """
        # Placeholder for sentiment analysis logic
        pass


class FrameworkBAnalyzer(SentimentAnalyzer):
    """
    Implements sentiment analysis using Framework B.
    """
    def analyze(self, text: str) -> dict:
        """
        Uses Framework B to analyze sentiment.

        :param text: Input text for sentiment analysis.
        :return: Dictionary with metrics from Framework B.
        """
        # Placeholder for sentiment analysis logic
        pass


class AnalysisManager:
    """
    Coordinates the sentiment analysis process.
    """
    def __init__(self, config_manager: ConfigManager, text_processor: TextFileProcessor):
        self.config_manager = config_manager
        self.text_processor = text_processor

    def analyze_files(self, frameworks: list) -> list:
        """
        Analyzes all text files using specified frameworks.

        :param frameworks: List of framework analyzer instances.
        :return: List of results containing file names and analysis metrics.
        """
        results = []
        text_files = self.text_processor.get_text_files()

        for file_path in text_files:
            content = self.text_processor.read_file(file_path)
            metrics = []
            for framework in frameworks:
                metrics.append(framework.analyze(content))

            results.append({
                "file_name": os.path.basename(file_path),
                "description": "Sentiment analysis results",
                "metrics": metrics
            })

        return results


class ResultSaver:
    """
    Saves the analysis results to a JSON file.
    """
    def save_to_json(self, results: list, output_file: str):
        """
        Writes results to a JSON file.

        :param results: List of analysis results.
        :param output_file: Path to the output JSON file.
        """
        # Placeholder for JSON writing logic
        pass


class Main:
    """
    Entry point for the sentiment analysis project.
    """
    def __init__(self, base_dir: str, config_dir: str, output_file: str):
        self.base_dir = base_dir
        self.config_dir = config_dir
        self.output_file = output_file

    def run(self):
        """
        Executes the sentiment analysis pipeline.
        """
        # Initialize components
        config_manager = ConfigManager(self.config_dir)
        text_processor = TextFileProcessor(self.base_dir)

        # Load configurations and instantiate frameworks
        frameworks = [
            FrameworkAAnalyzer(config_manager.load_config("FrameworkA")),
            FrameworkBAnalyzer(config_manager.load_config("FrameworkB"))
        ]

        # Perform analysis
        analysis_manager = AnalysisManager(config_manager, text_processor)
        results = analysis_manager.analyze_files(frameworks)

        # Save results
        saver = ResultSaver()
        saver.save_to_json(results, self.output_file)

All implementations and improvements will be presented in separate posts.