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How to parse and group hierarchical list items from an unindented string in Python?

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Problem Statement

Given an unindented string as input, perform these steps:

  1. Identify the list items at the highest level of the hierarchy within the string.

  2. For each top-level item (identified by Numbering Systems, Lettering Systems, Bullets, or Symbols etc.):

    a. Group it with all subsequent lower-level items (identified by Prefixes, Bullets, Alphanumeric Sequences, or Roman Numerals etc.) until the next top-level item is encountered.

    b. Concatenate the top-level item with its associated lower-level items into a single string, maintaining the original formatting and delimiters.

  3. Return the resulting grouped list items as a Python list where each element represents a top-level item and its associated lower-level items.

  4. Exclude any text before the first top-level item and after the last top-level item from the output.

Goal

By concatenating the top-level items with their associated lower-level items into a single string for each element of the Python list, the output will match the desired format.

Request

Please explain how I can create a Python method that can successfully achieve this goal.

Additional Details

  • I've tried and failed to create a Python method that achieves the tasks outlined above.
  • My attempts to achieve this have failed, meaning they do not produce the expected outputs for the inputs.
  • I have created and included numerous sample inputs and their expected outputs below to test these methods against.

Code Attempts:




Attempt 1:



def process_list_hierarchy(text):    # Helper function to determine the indentation level    def get_indentation_level(line):        return len(line) - len(line.lstrip())    # Helper function to parse the input text into a list of lines with their hierarchy levels    def parse_hierarchy(text):        lines = text.split('\n')        hierarchy = []        for line in lines:            if line.strip():  # Ignore empty lines                level = get_indentation_level(line)                hierarchy.append((level, line.strip()))        return hierarchy    # Helper function to build a tree structure from the hierarchy levels    def build_tree(hierarchy):        tree = []        stack = [(-1, tree)]  # Start with a dummy root level        for level, content in hierarchy:            # Find the correct parent level            while stack and stack[-1][0] >= level:                stack.pop()            # Create a new node and add it to its parent's children            node = {'content': content, 'children': []}            stack[-1][1].append(node)            stack.append((level, node['children']))        return tree    # Helper function to combine the tree into a single list    def combine_tree(tree, combined_list=[], level=0):        for node in tree:            combined_list.append(('' * level) + node['content'])            if node['children']:                combine_tree(node['children'], combined_list, level + 1)        return combined_list    # Parse the input text into a hierarchy    hierarchy = parse_hierarchy(text)    # Build a tree structure from the hierarchy    tree = build_tree(hierarchy)    # Combine the tree into a single list while maintaining the hierarchy    combined_list = combine_tree(tree)    # Return the combined list as a string    return '\n'.join(combined_list)


Attempt 2:



def organize_hierarchically(items):    def get_level(item):        match = re.match(r'^(\d+\.?|\-|\*)', item)        return len(match.group()) if match else 0    grouped_items = []    for level, group in groupby(items, key=get_level):        if level == 1:            grouped_items.append('\n'.join(group))        else:            grouped_items[-1] += '\n'+'\n'.join(group)    return grouped_items



Attempt 3:

from bs4 import BeautifulSoupimport nltkdef extract_sub_objectives(input_text):    soup = BeautifulSoup(input_text, 'html.parser')    text_content = soup.get_text()    # Tokenize the text into sentences    sentences = nltk.sent_tokenize(text_content)    # Initialize an empty list to store the sub-objectives    sub_objectives = []    # Iterate through the sentences and extract sub-objectives    current_sub_objective = ""    for sentence in sentences:        if sentence.startswith(("1.", "2.", "3.", "4.")):            if current_sub_objective:                sub_objectives.append(current_sub_objective)                current_sub_objective = ""            current_sub_objective += sentence +"\n"        elif current_sub_objective:            current_sub_objective += sentence +"\n"    # Append the last sub-objective, if any    if current_sub_objective:        sub_objectives.append(current_sub_objective)    return sub_objectives

Attempt 4:

def extract_sub_objectives(input_text, preserve_formatting=False):    # Modified to strip both single and double quotes    input_text = input_text.strip('\'"')    messages = []    messages.append("Debug: Starting to process the input text.")    # Debug message to show the input text after stripping quotes    messages.append(f"Debug: Input text after stripping quotes: '{input_text}'")    # Define possible starting characters for new sub-objectives    start_chars = [str(i) +'.' for i in range(1, 100)]  # Now includes up to two-digit numbering    messages.append(f"Debug: Start characters defined: {start_chars}")    # Define a broader range of continuation characters    continuation_chars = ['-', '*', '+', '•', '>', '→', '—']  # Expanded list    messages.append(f"Debug: Continuation characters defined: {continuation_chars}")    # Replace escaped newline characters with actual newline characters    input_text = input_text.replace('\\n', '\n')    # Split the input text into lines    lines = input_text.split('\n')    messages.append(f"Debug: Input text split into lines: {lines}")    # Initialize an empty list to store the sub-objectives    sub_objectives = []    # Initialize an empty string to store the current sub-objective    current_sub_objective = ''    # Initialize a counter for the number of continuations in the current sub-objective    continuation_count = 0    # Function to determine if a line is a new sub-objective    def is_new_sub_objective(line):        # Strip away leading quotation marks and whitespace        line = line.strip('\'"').strip()        return any(line.startswith(start_char) for start_char in start_chars)    # Function to determine if a line is a continuation    def is_continuation(line, prev_line):        if not prev_line:            return False        # Check if the line starts with an alphanumeric followed by a period or parenthesis        if len(line) > 1 and line[0].isalnum() and (line[1] == '.' or line[1] == ')'):            # Check if it follows the sequence of the previous line            if line[0].isdigit() and prev_line[0].isdigit() and int(line[0]) == int(prev_line[0]) + 1:                return False            elif line[0].isalpha() and prev_line[0].isalpha() and ord(line[0].lower()) == ord(prev_line[0].lower()) + 1:                return False            else:                return True        # Add a condition to check for lower-case letters followed by a full stop        if line[0].islower() and line[1] == '.':            return True        return any(line.startswith(continuation_char) for continuation_char in continuation_chars)    # Iterate over each line    for i, line in enumerate(lines):        prev_line = lines[i - 1] if i > 0 else ''        # Check if the line is a new sub-objective        if is_new_sub_objective(line):            messages.append(f"Debug: Found a new sub-objective at line {i + 1}: '{line}'")            # If we have a current sub-objective, check the continuation count            if current_sub_objective:                if continuation_count < 2:                    messages.append(f"Debug: Sub-objective does not meet the continuation criterion: '{current_sub_objective}'")                    for message in messages:                        print(message)                    return None                # Check the preserve_formatting parameter before adding                sub_objectives.append(                    current_sub_objective.strip() if not preserve_formatting else current_sub_objective)                messages.append(f"Debug: Added a sub-objective to the list. Current count: {len(sub_objectives)}.")            # Reset the current sub-objective to the new one and reset the continuation count            current_sub_objective = line            continuation_count = 0        # Check if the line is a continuation        elif is_continuation(line, prev_line):            messages.append(f"Debug: Line {i + 1} is a continuation of the previous line: '{line}'")            # Add the line to the current sub-objective, checking preserve_formatting            current_sub_objective += '\n'+ line if preserve_formatting else ''+ line.strip()            # Increment the continuation count            continuation_count += 1        # Handle lines that are part of the current sub-objective but don't start with a continuation character        elif current_sub_objective:            messages.append(f"Debug: Line {i + 1} is part of the current sub-objective: '{line}'")            # Add the line to the current sub-objective, checking preserve_formatting            current_sub_objective += '\n'+ line if preserve_formatting else ''+ line.strip()    # If we have a current sub-objective, check the continuation count before adding it to the list    if current_sub_objective:        if continuation_count < 2:            messages.append(f"Debug: Sub-objective does not meet the continuation criterion: '{current_sub_objective}'")            for message in messages:                print(message)            return None        # Check the preserve_formatting parameter before adding        sub_objectives.append(current_sub_objective.strip() if not preserve_formatting else current_sub_objective)        messages.append(f"Debug: Added the final sub-objective to the list. Final count: {len(sub_objectives)}.")    # Print the debug messages if no sub-objectives are found    if not sub_objectives:        for message in messages:            print(message)    return sub_objectives

Sample Data (Inputs and associated Outputs):

Input 1 = '"Opening: To achieve our vision of creating a diverse and engaging collection of board games, we will focus on the following strategic components:\nStructure: Each component is designed to meet specific gameplay requirements:\nTerminology: Components, strategy, gameplay requirements, design. Each sub-objective should be a more detailed and focused component of its parent objective, contributing to achieving the parent goal.\n1. Develop a Comprehensive Game Library:\na. Acquire games from Catan, Ticket to Ride, Pandemic, Codenames, and Azul to enrich the game library.\n- Utilize publicly available resources provided by Catan, Ticket to Ride, Pandemic, Codenames, and Azul to strategically select games.\n- Store acquired games in a organized format such as a database or inventory system for efficient retrieval and analysis.\n2. Implement Star Trek Theme Integration:\na. Leverage Star Trek themes and elements to enhance the gaming experience and attract fans of the franchise.\n- Utilize open-source Star Trek assets such as images, quotes, and lore to incorporate into game components and designs.\n- Use creative storytelling techniques to weave Star Trek narratives into the gameplay and objectives of selected games.\n3. Enhance Player Engagement and Interaction:\na. Incorporate real-time monitoring of player feedback and preferences to continuously update the game library.\n- Utilize player surveys and open-source forums to gather up-to-date information on emerging trends and popular mechanics.\n- Implement social media scraping techniques to extract relevant player insights from publicly available sources and discussions.\n4. Establish Optimal Game Selection Strategies:\na. Employ data analysis and player profiling algorithms to develop optimal game selection strategies for different player groups.\n- Utilize data analysis to identify patterns in player preferences and behaviors based on demographics and gaming history.\n- Implement player profiling strategies to anticipate and cater to the diverse interests and skill levels of different player segments.\n5. Perform Game Session Analysis:\na. Develop algorithms to analyze game sessions and identify potential areas for improvement in game balance, pacing, and player satisfaction.\n- Utilize graph theory and network analysis tools to model player interactions and identify critical points in the game flow.\n- Integrate data from playtesting sessions to profile and understand the progression of game sessions, enabling proactive game refinement strategies.\nEach of these sub-objectives contributes to the overarching goal of creating a diverse and engaging collection of board games that caters to different player preferences. These specific tasks align with the project's purpose of leveraging advanced techniques such as data analysis, player profiling, and Star Trek theme integration to achieve a comprehensive and satisfying board gaming experience for all players."'

Output 1 = ['1. Develop a Comprehensive Game Library:\na. Acquire games from Catan, Ticket to Ride, Pandemic, Codenames, and Azul to enrich the game library.\n- Utilize publicly available resources provided by Catan, Ticket to Ride, Pandemic, Codenames, and Azul to strategically select games.\n- Store acquired games in a organized format such as a database or inventory system for efficient retrieval and analysis.','2. Implement Star Trek Theme Integration:\na. Leverage Star Trek themes and elements to enhance the gaming experience and attract fans of the franchise.\n- Utilize open-source Star Trek assets such as images, quotes, and lore to incorporate into game components and designs.\n- Use creative storytelling techniques to weave Star Trek narratives into the gameplay and objectives of selected games.','3. Enhance Player Engagement and Interaction:\na. Incorporate real-time monitoring of player feedback and preferences to continuously update the game library.\n- Utilize player surveys and open-source forums to gather up-to-date information on emerging trends and popular mechanics.\n- Implement social media scraping techniques to extract relevant player insights from publicly available sources and discussions.','4. Establish Optimal Game Selection Strategies:\na. Employ data analysis and player profiling algorithms to develop optimal game selection strategies for different player groups.\n- Utilize data analysis to identify patterns in player preferences and behaviors based on demographics and gaming history.\n- Implement player profiling strategies to anticipate and cater to the diverse interests and skill levels of different player segments.','5. Perform Game Session Analysis:\na. Develop algorithms to analyze game sessions and identify potential areas for improvement in game balance, pacing, and player satisfaction.\n- Utilize graph theory and network analysis tools to model player interactions and identify critical points in the game flow.\n- Integrate data from playtesting sessions to profile and understand the progression of game sessions, enabling proactive game refinement strategies.']

Input 2 = '"Project Purpose:\nTo create a complex and immersive board game experience using techniques like deck-building, worker placement, area control, engine building, set collection, variable player powers, modular board, and asymmetric gameplay. The game uses resources like meeples, dice, cards, and tiles to enhance its gameplay elements.\nParent Objective/Sub-Objective:\n1. Develop a Comprehensive Game Experience\na. Gather components from resources such as meeples, dice, cards, and tiles to enrich the gameplay experience.\nSub-objectives at Depth Level 1:\nLanguage:\nOpening: To achieve our vision, we will focus on the following strategic elements:\nStructure: Each element is designed to meet specific gameplay requirements.\nTerminology: Elements, strategy, gameplay requirements, design. Each sub-objective should be a more detailed and focused element of its parent objective, contributing to achieving the parent goal.\n1.1 Establish Game's Theme and Goals within the Stargate Universe\na. Define the specific theme the game will explore within the Stargate universe.\n- Describe how the game will interact with characters, planets, and technologies.\nb. Outline the specific goals the players aim to achieve within the Stargate setting.\n- Define the primary objectives (e.g., completing missions, building alliances).\nc. Utilize Stargate lore and canon to understand franchise-standard game themes and goals.\n1.2 Formulate Foundational Strategies for Gameplay and Replayability\na. Identify established board game mechanics suitable for Stargate-themed gameplay.\n- Utilize game design resources for understanding mechanic core concepts and suitability.\nb. Define approaches for varied gameplay and replayability to maintain player engagement.\n- Explore board game reviews and case studies in deck-building and worker placement games.\n1.3 Determine Primary Sources of Game Component Acquisition\na. Catalog and assess component sources such as meeples, dice, cards, and tiles for quality and availability.\n- Develop lists to track and organize these components.\nb. Investigate the material and manufacturing of components from each resource to standardize and integrate them into the game.\n- Use game design tools for component selection and integration.\nThese sub-objectives will contribute to creating a more detailed and focused strategy towards achieving the overall objective of developing a comprehensive game experience for the Stargate-themed board game."'

Output 2 =['1. Develop a Comprehensive Game Experience\na. Gather components from resources such as meeples, dice, cards, and tiles to enrich the gameplay experience.','1.1 Establish Game's Theme and Goals within the Stargate Universe\na. Define the specific theme the game will explore within the Stargate universe.\n- Describe how the game will interact with characters, planets, and technologies.\nb. Outline the specific goals the players aim to achieve within the Stargate setting.\n- Define the primary objectives (e.g., completing missions, building alliances).\nc. Utilize Stargate lore and canon to understand franchise-standard game themes and goals.','1.2 Formulate Foundational Strategies for Gameplay and Replayability\na. Identify established board game mechanics suitable for Stargate-themed gameplay.\n- Utilize game design resources for understanding mechanic core concepts and suitability.\nb. Define approaches for varied gameplay and replayability to maintain player engagement.\n- Explore board game reviews and case studies in deck-building and worker placement games.',
'1.3 Determine Primary Sources of Game Component Acquisition\na. Catalog and assess component sources such as meeples, dice, cards, and tiles for quality and availability.\n- Develop lists to track and organize these components.\nb. Investigate the material and manufacturing of components from each resource to standardize and integrate them into the game.\n- Use game design tools for component selection and integration.']

Input 3 = '"To achieve the goals you have set out for the board game collection project, we can break down the tasks into specific and detailed sub-objectives at depth level 3. Here is a suggested structure for refining your objectives into more specific and detailed sub-objectives:\nObjective 1: Develop a comprehensive game library\n1. Improve game acquisition process:\n- Actions: Enhance the system's ability to gather data from resources like BGG, KS, SUSD, DT, and FLGS automatically.\n- Protocols: Implement automated data retrieval scripts using APIs provided by these resources.\n- Performance metrics: Measure the accuracy and timeliness of data updates from each resource.\n2. Enhance game play logging capabilities:\n- Actions: Integrate advanced logging techniques to identify new strategies in targeted games, mechanics, themes, and genres.\n- Protocols: Utilize tools like BGA, TTS, or Vassal to conduct comprehensive game play logging.\n- Performance metrics: Evaluate the system's ability to detect both known and unknown strategies with high accuracy.\n3. Implement game library updating mechanism:\n- Actions: Develop a mechanism to automatically update the system's game library with the latest release information.\n- Protocols: Define a scheduled update process to fetch and integrate new data from external sources.\n- Performance metrics: Monitor the frequency and effectiveness of game library updates to ensure system relevance.\nBy breaking down the main objective into these specific and detailed sub-objectives, we can ensure a structured approach towards achieving the parent goal of developing a comprehensive game library for the board game collection project."'

Output 3 =['1. Improve game acquisition process:\n- Actions: Enhance the system's ability to gather data from resources like BGG, KS, SUSD, DT, and FLGS automatically.\n- Protocols: Implement automated data retrieval scripts using APIs provided by these resources.\n- Performance metrics: Measure the accuracy and timeliness of data updates from each resource.','2. Enhance game play logging capabilities:\n- Actions: Integrate advanced logging techniques to identify new strategies in targeted games, mechanics, themes, and genres.\n- Protocols: Utilize tools like BGA, TTS, or Vassal to conduct comprehensive game play logging.\n- Performance metrics: Evaluate the system's ability to detect both known and unknown strategies with high accuracy.','3. Implement game library updating mechanism:\n- Actions: Develop a mechanism to automatically update the system's game library with the latest release information.\n- Protocols: Define a scheduled update process to fetch and integrate new data from external sources.\n- Performance metrics: Monitor the frequency and effectiveness of game library updates to ensure system relevance.']

Input 4 = '"Certainly! Let's break down the objective into more specific and detailed sub-objectives at depth level 4, following the provided format.\n1. Implement Borg learning algorithm for decision-making component:\n- Describe the Borg learning algorithm in detail\n- Explain how Borg learning will be used for making optimal mission strategies\n- Utilize Python libraries like TensorFlow or PyTorch for implementing Borg learning\n2. Develop architecture for self-learning mechanisms:\n- Design the overall architecture for the AI's self-learning capabilities\n- Define how the system will acquire Starfleet knowledge through self-learning\n- Consider using tools like scikit-learn or Keras for developing the self-learning mechanisms\n3. Define metrics for performance evaluation and model validation:\n- Establish specific metrics to evaluate the system's performance in anomaly detection and first contact\n- Describe how model validation will be conducted to ensure the system's effectiveness\n- Utilize standard evaluation techniques such as precision, recall, and F1 score for model validation\n4. Integrate LCARS, MSD, PADD, ODN, and EPS resources for knowledge base improvement:\n- Explain how the system will leverage LCARS, MSD, PADD, ODN, and EPS resources to enhance its knowledge base\n- Detail the process of extracting relevant information from these resources\n- Consider using APIs provided by these resources for seamless integration\nBy following these specific and detailed sub-objectives, you will be able to make progress towards achieving the parent objective of developing a complex and self-managing Starfleet system focused on anomaly detection and first contact. Let me know if you need further assistance with any of these sub-objectives."'

Output 4 =['1. Implement Borg learning algorithm for decision-making component:\n- Describe the Borg learning algorithm in detail\n- Explain how Borg learning will be used for making optimal mission strategies\n- Utilize Python libraries like TensorFlow or PyTorch for implementing Borg learning',

'2. Develop architecture for self-learning mechanisms:\n- Design the overall architecture for the AI's self-learning capabilities\n- Define how the system will acquire Starfleet knowledge through self-learning\n- Consider using tools like scikit-learn or Keras for developing the self-learning mechanisms',

'3. Define metrics for performance evaluation and model validation:\n- Establish specific metrics to evaluate the system's performance in anomaly detection and first contact\n- Describe how model validation will be conducted to ensure the system's effectiveness\n- Utilize standard evaluation techniques such as precision, recall, and F1 score for model validation',

'4. Integrate LCARS, MSD, PADD, ODN, and EPS resources for knowledge base improvement:\n- Explain how the system will leverage LCARS, MSD, PADD, ODN, and EPS resources to enhance its knowledge base\n- Detail the process of extracting relevant information from these resources\n- Consider using APIs provided by these resources for seamless integration']

Input 5 ='"The essential components for an engaging board game night should include the following elements to ensure a fun and memorable experience for all participants:\n1. Game Selection and Variety:\n- Choose a diverse range of board games to cater to different preferences and skill levels.\n- Include classic favorites as well as new and innovative game mechanics.\n2. Player Engagement and Interaction:\n- Encourage active participation and social interaction among players.\n- Foster a friendly and inclusive atmosphere that promotes teamwork and friendly competition.\n3. Snacks and Refreshments:\n- Provide a variety of tasty snacks and beverages to keep players energized and satisfied.\n- Consider dietary restrictions and offer both healthy and indulgent options.\n4. Comfortable Gaming Environment:\n- Create a cozy and inviting space with ample seating and good lighting.\n- Ensure the gaming area is free from distractions and conducive to focused gameplay.\n5. Rule Explanations and Guidance:\n- Provide clear and concise explanations of game rules to ensure smooth gameplay.\n- Offer guidance and support to new players to help them feel included and engaged.\n6. Time Management and Pacing:\n- Plan the gaming session to allow for a balanced mix of different game lengths and styles.\n- Keep the pace of the night flowing smoothly to maintain player interest and excitement.\nBy incorporating these elements, hosts can create an enjoyable and engaging board game night that will leave participants eager for the next gaming session."'

Output 5 =['1. Game Selection and Variety:\n- Choose a diverse range of board games to cater to different preferences and skill levels.\n- Include classic favorites as well as new and innovative game mechanics.','2. Player Engagement and Interaction:\n- Encourage active participation and social interaction among players.\n- Foster a friendly and inclusive atmosphere that promotes teamwork and friendly competition.','3. Snacks and Refreshments:\n- Provide a variety of tasty snacks and beverages to keep players energized and satisfied.\n- Consider dietary restrictions and offer both healthy and indulgent options.','4. Comfortable Gaming Environment:\n- Create a cozy and inviting space with ample seating and good lighting.\n- Ensure the gaming area is free from distractions and conducive to focused gameplay.','5. Rule Explanations and Guidance:\n- Provide clear and concise explanations of game rules to ensure smooth gameplay.\n- Offer guidance and support to new players to help them feel included and engaged.','6. Time Management and Pacing:\n- Plan the gaming session to allow for a balanced mix of different game lengths and styles.\n- Keep the pace of the night flowing smoothly to maintain player interest and excitement.']

Input 6 = '"The Witcher: Old World board game features various symbols on the board that represent different game mechanics. For instance, the sword symbol indicates combat encounters, while the potion symbol represents opportunities to acquire or use potions."'

Output 6 =[]


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