from __future__ import annotations

import html
import copy
import difflib
import json
import os
import re
import textwrap
import time
from datetime import datetime
from enum import Enum
from typing import Any, List, Tuple

import yaml
from pydantic import BaseModel
from starlette_context import context

from pr_agent.algo import MAX_TOKENS
from pr_agent.algo.token_handler import TokenEncoder
from pr_agent.config_loader import get_settings, global_settings
from pr_agent.algo.types import FilePatchInfo
from pr_agent.log import get_logger

class Range(BaseModel):
    line_start: int  # should be 0-indexed
    line_end: int
    column_start: int = -1
    column_end: int = -1

class ModelType(str, Enum):
    REGULAR = "regular"
    TURBO = "turbo"


class PRReviewHeader(str, Enum):
    REGULAR = "## PR Reviewer Guide"
    INCREMENTAL = "## Incremental PR Reviewer Guide"


def get_setting(key: str) -> Any:
    try:
        key = key.upper()
        return context.get("settings", global_settings).get(key, global_settings.get(key, None))
    except Exception:
        return global_settings.get(key, None)


def emphasize_header(text: str, only_markdown=False, reference_link=None) -> str:
    try:
        # Finding the position of the first occurrence of ": "
        colon_position = text.find(": ")

        # Splitting the string and wrapping the first part in <strong> tags
        if colon_position != -1:
            # Everything before the colon (inclusive) is wrapped in <strong> tags
            if only_markdown:
                if reference_link:
                    transformed_string = f"[**{text[:colon_position + 1]}**]({reference_link})\n" + text[colon_position + 1:]
                else:
                    transformed_string = f"**{text[:colon_position + 1]}**\n" + text[colon_position + 1:]
            else:
                if reference_link:
                    transformed_string = f"<strong><a href='{reference_link}'>{text[:colon_position + 1]}</a></strong><br>" + text[colon_position + 1:]
                else:
                    transformed_string = "<strong>" + text[:colon_position + 1] + "</strong>" +'<br>' + text[colon_position + 1:]
        else:
            # If there's no ": ", return the original string
            transformed_string = text

        return transformed_string
    except Exception as e:
        get_logger().exception(f"Failed to emphasize header: {e}")
        return text


def unique_strings(input_list: List[str]) -> List[str]:
    if not input_list or not isinstance(input_list, list):
        return input_list
    seen = set()
    unique_list = []
    for item in input_list:
        if item not in seen:
            unique_list.append(item)
            seen.add(item)
    return unique_list

def convert_to_markdown_v2(output_data: dict,
                           gfm_supported: bool = True,
                           incremental_review=None,
                           git_provider=None) -> str:
    """
    Convert a dictionary of data into markdown format.
    Args:
        output_data (dict): A dictionary containing data to be converted to markdown format.
    Returns:
        str: The markdown formatted text generated from the input dictionary.
    """

    emojis = {
        "Can be split": "🔀",
        "Possible issues": "⚡",
        "Key issues to review": "⚡",
        "Score": "🏅",
        "Relevant tests": "🧪",
        "Focused PR": "✨",
        "Relevant ticket": "🎫",
        "Security concerns": "🔒",
        "Insights from user's answers": "📝",
        "Code feedback": "🤖",
        "Estimated effort to review [1-5]": "⏱️",
    }
    markdown_text = ""
    if not incremental_review:
        markdown_text += f"{PRReviewHeader.REGULAR.value} 🔍\n\n"
    else:
        markdown_text += f"{PRReviewHeader.INCREMENTAL.value} 🔍\n\n"
        markdown_text += f"⏮️ Review for commits since previous PR-Agent review {incremental_review}.\n\n"
    if not output_data or not output_data.get('review', {}):
        return ""

    if gfm_supported:
        markdown_text += "<table>\n"

    for key, value in output_data['review'].items():
        if value is None or value == '' or value == {} or value == []:
            if key.lower() not in ['can_be_split', 'key_issues_to_review']:
                continue
        key_nice = key.replace('_', ' ').capitalize()
        emoji = emojis.get(key_nice, "")
        if 'Estimated effort to review' in key_nice:
            key_nice = 'Estimated effort to review'
            value = str(value).strip()
            if value.isnumeric():
                value_int = int(value)
            else:
                try:
                    value_int = int(value.split(',')[0])
                except ValueError:
                    continue
            blue_bars = '🔵' * value_int
            white_bars = '⚪' * (5 - value_int)
            value = f"{value_int} {blue_bars}{white_bars}"
            if gfm_supported:
                markdown_text += f"<tr><td>"
                markdown_text += f"{emoji}&nbsp;<strong>{key_nice}</strong>: {value}"
                markdown_text += f"</td></tr>\n"
            else:
                markdown_text += f"### {emoji} {key_nice}: {value}\n\n"
        elif 'relevant tests' in key_nice.lower():
            value = str(value).strip().lower()
            if gfm_supported:
                markdown_text += f"<tr><td>"
                if is_value_no(value):
                    markdown_text += f"{emoji}&nbsp;<strong>No relevant tests</strong>"
                else:
                    markdown_text += f"{emoji}&nbsp;<strong>PR contains tests</strong>"
                markdown_text += f"</td></tr>\n"
            else:
                if is_value_no(value):
                    markdown_text += f'### {emoji} No relevant tests\n\n'
                else:
                    markdown_text += f"### PR contains tests\n\n"
        elif 'security concerns' in key_nice.lower():
            if gfm_supported:
                markdown_text += f"<tr><td>"
                if is_value_no(value):
                    markdown_text += f"{emoji}&nbsp;<strong>No security concerns identified</strong>"
                else:
                    markdown_text += f"{emoji}&nbsp;<strong>Security concerns</strong><br><br>\n\n"
                    value = emphasize_header(value.strip())
                    markdown_text += f"{value}"
                markdown_text += f"</td></tr>\n"
            else:
                if is_value_no(value):
                    markdown_text += f'### {emoji} No security concerns identified\n\n'
                else:
                    markdown_text += f"### {emoji} Security concerns\n\n"
                    value = emphasize_header(value.strip(), only_markdown=True)
                    markdown_text += f"{value}\n\n"
        elif 'can be split' in key_nice.lower():
            if gfm_supported:
                markdown_text += f"<tr><td>"
                markdown_text += process_can_be_split(emoji, value)
                markdown_text += f"</td></tr>\n"
        elif 'key issues to review' in key_nice.lower():
            # value is a list of issues
            if is_value_no(value):
                if gfm_supported:
                    markdown_text += f"<tr><td>"
                    markdown_text += f"{emoji}&nbsp;<strong>No key issues to review</strong>"
                    markdown_text += f"</td></tr>\n"
                else:
                    markdown_text += f"### {emoji} No key issues to review\n\n"
            else:
                # issues = value.split('\n- ')
                issues =value
                # for i, _ in enumerate(issues):
                #     issues[i] = issues[i].strip().strip('-').strip()
                if gfm_supported:
                    markdown_text += f"<tr><td>"
                    markdown_text += f"{emoji}&nbsp;<strong>{key_nice}</strong><br><br>\n\n"
                else:
                    markdown_text += f"### {emoji} Key issues to review\n\n#### \n"
                for i, issue in enumerate(issues):
                    try:
                        if not issue:
                            continue
                        relevant_file = issue.get('relevant_file', '').strip()
                        issue_header = issue.get('issue_header', '').strip()
                        issue_content = issue.get('issue_content', '').strip()
                        start_line = int(str(issue.get('start_line', 0)).strip())
                        end_line = int(str(issue.get('end_line', 0)).strip())
                        reference_link = git_provider.get_line_link(relevant_file, start_line, end_line)

                        if gfm_supported:
                            if get_settings().pr_reviewer.extra_issue_links:
                                issue_content_linked =copy.deepcopy(issue_content)
                                referenced_variables_list = issue.get('referenced_variables', [])
                                for component in referenced_variables_list:
                                    name = component['variable_name'].strip().strip('`')

                                    ind = issue_content.find(name)
                                    if ind != -1:
                                        reference_link_component = git_provider.get_line_link(relevant_file, component['relevant_line'], component['relevant_line'])
                                        issue_content_linked = issue_content_linked[:ind-1] + f"[`{name}`]({reference_link_component})" + issue_content_linked[ind+len(name)+1:]
                                    else:
                                        get_logger().info(f"Failed to find variable in issue content: {component['variable_name'].strip()}")
                                issue_content = issue_content_linked
                            issue_str = f"<a href='{reference_link}'><strong>{issue_header}</strong></a><br>{issue_content}"
                        else:
                            issue_str = f"[**{issue_header}**]({reference_link})\n\n{issue_content}\n\n"
                        markdown_text += f"{issue_str}\n\n"
                    except Exception as e:
                        get_logger().exception(f"Failed to process key issues to review: {e}")
                if gfm_supported:
                    markdown_text += f"</td></tr>\n"
        else:
            if gfm_supported:
                markdown_text += f"<tr><td>"
                markdown_text += f"{emoji}&nbsp;<strong>{key_nice}</strong>: {value}"
                markdown_text += f"</td></tr>\n"
            else:
                markdown_text += f"### {emoji} {key_nice}: {value}\n\n"

    if gfm_supported:
        markdown_text += "</table>\n"

    if 'code_feedback' in output_data:
        if gfm_supported:
            markdown_text += f"\n\n"
            markdown_text += f"<details><summary> <strong>Code feedback:</strong></summary>\n\n"
            markdown_text += "<hr>"
        else:
            markdown_text += f"\n\n### Code feedback:\n\n"
        for i, value in enumerate(output_data['code_feedback']):
            if value is None or value == '' or value == {} or value == []:
                continue
            markdown_text += parse_code_suggestion(value, i, gfm_supported)+"\n\n"
        if markdown_text.endswith('<hr>'):
            markdown_text= markdown_text[:-4]
        if gfm_supported:
            markdown_text += f"</details>"

    return markdown_text


def process_can_be_split(emoji, value):
    try:
        # key_nice = "Can this PR be split?"
        key_nice = "Multiple PR themes"
        markdown_text = ""
        if not value or isinstance(value, list) and len(value) == 1:
            value = "No"
            # markdown_text += f"<tr><td> {emoji}&nbsp;<strong>{key_nice}</strong></td><td>\n\n{value}\n\n</td></tr>\n"
            # markdown_text += f"### {emoji} No multiple PR themes\n\n"
            markdown_text += f"{emoji} <strong>No multiple PR themes</strong>\n\n"
        else:
            markdown_text += f"{emoji} <strong>{key_nice}</strong><br><br>\n\n"
            for i, split in enumerate(value):
                title = split.get('title', '')
                relevant_files = split.get('relevant_files', [])
                markdown_text += f"<details><summary>\nSub-PR theme: <b>{title}</b></summary>\n\n"
                markdown_text += f"___\n\nRelevant files:\n\n"
                for file in relevant_files:
                    markdown_text += f"- {file}\n"
                markdown_text += f"___\n\n"
                markdown_text += f"</details>\n\n"

                # markdown_text += f"#### Sub-PR theme: {title}\n\n"
                # markdown_text += f"Relevant files:\n\n"
                # for file in relevant_files:
                #     markdown_text += f"- {file}\n"
                # markdown_text += "\n"
            # number_of_splits = len(value)
            # markdown_text += f"<tr><td rowspan={number_of_splits}> {emoji}&nbsp;<strong>{key_nice}</strong></td>\n"
            # for i, split in enumerate(value):
            #     title = split.get('title', '')
            #     relevant_files = split.get('relevant_files', [])
            #     if i == 0:
            #         markdown_text += f"<td><details><summary>\nSub-PR theme:<br><strong>{title}</strong></summary>\n\n"
            #         markdown_text += f"<hr>\n"
            #         markdown_text += f"Relevant files:\n"
            #         markdown_text += f"<ul>\n"
            #         for file in relevant_files:
            #             markdown_text += f"<li>{file}</li>\n"
            #         markdown_text += f"</ul>\n\n</details></td></tr>\n"
            #     else:
            #         markdown_text += f"<tr>\n<td><details><summary>\nSub-PR theme:<br><strong>{title}</strong></summary>\n\n"
            #         markdown_text += f"<hr>\n"
            #         markdown_text += f"Relevant files:\n"
            #         markdown_text += f"<ul>\n"
            #         for file in relevant_files:
            #             markdown_text += f"<li>{file}</li>\n"
            #         markdown_text += f"</ul>\n\n</details></td></tr>\n"
    except Exception as e:
        get_logger().exception(f"Failed to process can be split: {e}")
        return ""
    return markdown_text


def parse_code_suggestion(code_suggestion: dict, i: int = 0, gfm_supported: bool = True) -> str:
    """
    Convert a dictionary of data into markdown format.

    Args:
        code_suggestion (dict): A dictionary containing data to be converted to markdown format.

    Returns:
        str: A string containing the markdown formatted text generated from the input dictionary.
    """
    markdown_text = ""
    if gfm_supported and 'relevant_line' in code_suggestion:
        markdown_text += '<table>'
        for sub_key, sub_value in code_suggestion.items():
            try:
                if sub_key.lower() == 'relevant_file':
                    relevant_file = sub_value.strip('`').strip('"').strip("'")
                    markdown_text += f"<tr><td>relevant file</td><td>{relevant_file}</td></tr>"
                    # continue
                elif sub_key.lower() == 'suggestion':
                    markdown_text += (f"<tr><td>{sub_key} &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</td>"
                                      f"<td>\n\n<strong>\n\n{sub_value.strip()}\n\n</strong>\n</td></tr>")
                elif sub_key.lower() == 'relevant_line':
                    markdown_text += f"<tr><td>relevant line</td>"
                    sub_value_list = sub_value.split('](')
                    relevant_line = sub_value_list[0].lstrip('`').lstrip('[')
                    if len(sub_value_list) > 1:
                        link = sub_value_list[1].rstrip(')').strip('`')
                        markdown_text += f"<td><a href='{link}'>{relevant_line}</a></td>"
                    else:
                        markdown_text += f"<td>{relevant_line}</td>"
                    markdown_text += "</tr>"
            except Exception as e:
                get_logger().exception(f"Failed to parse code suggestion: {e}")
                pass
        markdown_text += '</table>'
        markdown_text += "<hr>"
    else:
        for sub_key, sub_value in code_suggestion.items():
            if isinstance(sub_key, str):
                sub_key = sub_key.rstrip()
            if isinstance(sub_value,str):
                sub_value = sub_value.rstrip()
            if isinstance(sub_value, dict):  # "code example"
                markdown_text += f"  - **{sub_key}:**\n"
                for code_key, code_value in sub_value.items():  # 'before' and 'after' code
                    code_str = f"```\n{code_value}\n```"
                    code_str_indented = textwrap.indent(code_str, '        ')
                    markdown_text += f"    - **{code_key}:**\n{code_str_indented}\n"
            else:
                if "relevant_file" in sub_key.lower():
                    markdown_text += f"\n  - **{sub_key}:** {sub_value}  \n"
                else:
                    markdown_text += f"   **{sub_key}:** {sub_value}  \n"
                if "relevant_line" not in sub_key.lower():  # nicer presentation
                    # markdown_text = markdown_text.rstrip('\n') + "\\\n" # works for gitlab
                    markdown_text = markdown_text.rstrip('\n') + "   \n"  # works for gitlab and bitbucker

        markdown_text += "\n"
    return markdown_text


def try_fix_json(review, max_iter=10, code_suggestions=False):
    """
    Fix broken or incomplete JSON messages and return the parsed JSON data.

    Args:
    - review: A string containing the JSON message to be fixed.
    - max_iter: An integer representing the maximum number of iterations to try and fix the JSON message.
    - code_suggestions: A boolean indicating whether to try and fix JSON messages with code feedback.

    Returns:
    - data: A dictionary containing the parsed JSON data.

    The function attempts to fix broken or incomplete JSON messages by parsing until the last valid code suggestion.
    If the JSON message ends with a closing bracket, the function calls the fix_json_escape_char function to fix the
    message.
    If code_suggestions is True and the JSON message contains code feedback, the function tries to fix the JSON
    message by parsing until the last valid code suggestion.
    The function uses regular expressions to find the last occurrence of "}," with any number of whitespaces or
    newlines.
    It tries to parse the JSON message with the closing bracket and checks if it is valid.
    If the JSON message is valid, the parsed JSON data is returned.
    If the JSON message is not valid, the last code suggestion is removed and the process is repeated until a valid JSON
    message is obtained or the maximum number of iterations is reached.
    If a valid JSON message is not obtained, an error is logged and an empty dictionary is returned.
    """

    if review.endswith("}"):
        return fix_json_escape_char(review)

    data = {}
    if code_suggestions:
        closing_bracket = "]}"
    else:
        closing_bracket = "]}}"

    if (review.rfind("'Code feedback': [") > 0 or review.rfind('"Code feedback": [') > 0) or \
            (review.rfind("'Code suggestions': [") > 0 or review.rfind('"Code suggestions": [') > 0) :
        last_code_suggestion_ind = [m.end() for m in re.finditer(r"\}\s*,", review)][-1] - 1
        valid_json = False
        iter_count = 0

        while last_code_suggestion_ind > 0 and not valid_json and iter_count < max_iter:
            try:
                data = json.loads(review[:last_code_suggestion_ind] + closing_bracket)
                valid_json = True
                review = review[:last_code_suggestion_ind].strip() + closing_bracket
            except json.decoder.JSONDecodeError:
                review = review[:last_code_suggestion_ind]
                last_code_suggestion_ind = [m.end() for m in re.finditer(r"\}\s*,", review)][-1] - 1
                iter_count += 1

        if not valid_json:
            get_logger().error("Unable to decode JSON response from AI")
            data = {}

    return data


def fix_json_escape_char(json_message=None):
    """
    Fix broken or incomplete JSON messages and return the parsed JSON data.

    Args:
        json_message (str): A string containing the JSON message to be fixed.

    Returns:
        dict: A dictionary containing the parsed JSON data.

    Raises:
        None

    """
    try:
        result = json.loads(json_message)
    except Exception as e:
        # Find the offending character index:
        idx_to_replace = int(str(e).split(' ')[-1].replace(')', ''))
        # Remove the offending character:
        json_message = list(json_message)
        json_message[idx_to_replace] = ' '
        new_message = ''.join(json_message)
        return fix_json_escape_char(json_message=new_message)
    return result


def convert_str_to_datetime(date_str):
    """
    Convert a string representation of a date and time into a datetime object.

    Args:
        date_str (str): A string representation of a date and time in the format '%a, %d %b %Y %H:%M:%S %Z'

    Returns:
        datetime: A datetime object representing the input date and time.

    Example:
        >>> convert_str_to_datetime('Mon, 01 Jan 2022 12:00:00 UTC')
        datetime.datetime(2022, 1, 1, 12, 0, 0)
    """
    datetime_format = '%a, %d %b %Y %H:%M:%S %Z'
    return datetime.strptime(date_str, datetime_format)


def load_large_diff(filename, new_file_content_str: str, original_file_content_str: str, show_warning: bool = True) -> str:
    """
    Generate a patch for a modified file by comparing the original content of the file with the new content provided as
    input.

    Args:
        new_file_content_str: The new content of the file as a string.
        original_file_content_str: The original content of the file as a string.

    Returns:
        The generated or provided patch string.

    Raises:
        None.
    """
    patch = ""
    try:
        diff = difflib.unified_diff(original_file_content_str.splitlines(keepends=True),
                                    new_file_content_str.splitlines(keepends=True))
        if get_settings().config.verbosity_level >= 2 and show_warning:
            get_logger().warning(f"File was modified, but no patch was found. Manually creating patch: {filename}.")
        patch = ''.join(diff)
    except Exception:
        pass
    return patch


def update_settings_from_args(args: List[str]) -> List[str]:
    """
    Update the settings of the Dynaconf object based on the arguments passed to the function.

    Args:
        args: A list of arguments passed to the function.
        Example args: ['--pr_code_suggestions.extra_instructions="be funny',
                  '--pr_code_suggestions.num_code_suggestions=3']

    Returns:
        None

    Raises:
        ValueError: If the argument is not in the correct format.

    """
    other_args = []
    if args:
        for arg in args:
            arg = arg.strip()
            if arg.startswith('--'):
                arg = arg.strip('-').strip()
                vals = arg.split('=', 1)
                if len(vals) != 2:
                    if len(vals) > 2:  # --extended is a valid argument
                        get_logger().error(f'Invalid argument format: {arg}')
                    other_args.append(arg)
                    continue
                key, value = _fix_key_value(*vals)
                get_settings().set(key, value)
                get_logger().info(f'Updated setting {key} to: "{value}"')
            else:
                other_args.append(arg)
    return other_args


def _fix_key_value(key: str, value: str):
    key = key.strip().upper()
    value = value.strip()
    try:
        value = yaml.safe_load(value)
    except Exception as e:
        get_logger().debug(f"Failed to parse YAML for config override {key}={value}", exc_info=e)
    return key, value


def load_yaml(response_text: str, keys_fix_yaml: List[str] = [], first_key="", last_key="") -> dict:
    response_text = response_text.strip('\n').removeprefix('```yaml').rstrip().removesuffix('```')
    try:
        data = yaml.safe_load(response_text)
    except Exception as e:
        get_logger().warning(f"Initial failure to parse AI prediction: {e}")
        data = try_fix_yaml(response_text, keys_fix_yaml=keys_fix_yaml, first_key=first_key, last_key=last_key)
        if not data:
            get_logger().error(f"Failed to parse AI prediction after fallbacks", artifact={'response_text': response_text})
        else:
            get_logger().info(f"Successfully parsed AI prediction after fallbacks",
                              artifact={'response_text': response_text})
    return data



def try_fix_yaml(response_text: str,
                 keys_fix_yaml: List[str] = [],
                 first_key="",
                 last_key="",) -> dict:
    response_text_lines = response_text.split('\n')

    keys_yaml = ['relevant line:', 'suggestion content:', 'relevant file:', 'existing code:', 'improved code:']
    keys_yaml = keys_yaml + keys_fix_yaml
    # first fallback - try to convert 'relevant line: ...' to relevant line: |-\n        ...'
    response_text_lines_copy = response_text_lines.copy()
    for i in range(0, len(response_text_lines_copy)):
        for key in keys_yaml:
            if key in response_text_lines_copy[i] and not '|-' in response_text_lines_copy[i]:
                response_text_lines_copy[i] = response_text_lines_copy[i].replace(f'{key}',
                                                                                  f'{key} |-\n        ')
    try:
        data = yaml.safe_load('\n'.join(response_text_lines_copy))
        get_logger().info(f"Successfully parsed AI prediction after adding |-\n")
        return data
    except:
        get_logger().info(f"Failed to parse AI prediction after adding |-\n")

    # second fallback - try to extract only range from first ```yaml to ````
    snippet_pattern = r'```(yaml)?[\s\S]*?```'
    snippet = re.search(snippet_pattern, '\n'.join(response_text_lines_copy))
    if snippet:
        snippet_text = snippet.group()
        try:
            data = yaml.safe_load(snippet_text.removeprefix('```yaml').rstrip('`'))
            get_logger().info(f"Successfully parsed AI prediction after extracting yaml snippet")
            return data
        except:
            pass


    # third fallback - try to remove leading and trailing curly brackets
    response_text_copy = response_text.strip().rstrip().removeprefix('{').removesuffix('}').rstrip(':\n')
    try:
        data = yaml.safe_load(response_text_copy)
        get_logger().info(f"Successfully parsed AI prediction after removing curly brackets")
        return data
    except:
        pass


    # forth fallback - try to extract yaml snippet by 'first_key' and 'last_key'
    # note that 'last_key' can be in practice a key that is not the last key in the yaml snippet.
    # it just needs to be some inner key, so we can look for newlines after it
    if first_key and last_key:
        index_start = response_text.find(f"\n{first_key}:")
        if index_start == -1:
            index_start = response_text.find(f"{first_key}:")
        index_last_code = response_text.rfind(f"{last_key}:")
        index_end = response_text.find("\n\n", index_last_code) # look for newlines after last_key
        if index_end == -1:
            index_end = len(response_text)
        response_text_copy = response_text[index_start:index_end].strip().strip('```yaml').strip('`').strip()
        try:
            data = yaml.safe_load(response_text_copy)
            get_logger().info(f"Successfully parsed AI prediction after extracting yaml snippet")
            return data
        except:
            pass


    # fifth fallback - try to remove last lines
    data = {}
    for i in range(1, len(response_text_lines)):
        response_text_lines_tmp = '\n'.join(response_text_lines[:-i])
        try:
            data = yaml.safe_load(response_text_lines_tmp)
            get_logger().info(f"Successfully parsed AI prediction after removing {i} lines")
            return data
        except:
            pass


def set_custom_labels(variables, git_provider=None):
    if not get_settings().config.enable_custom_labels:
        return

    labels = get_settings().get('custom_labels', {})
    if not labels:
        # set default labels
        labels = ['Bug fix', 'Tests', 'Bug fix with tests', 'Enhancement', 'Documentation', 'Other']
        labels_list = "\n      - ".join(labels) if labels else ""
        labels_list = f"      - {labels_list}" if labels_list else ""
        variables["custom_labels"] = labels_list
        return

    # Set custom labels
    variables["custom_labels_class"] = "class Label(str, Enum):"
    counter = 0
    labels_minimal_to_labels_dict = {}
    for k, v in labels.items():
        description = "'" + v['description'].strip('\n').replace('\n', '\\n') + "'"
        # variables["custom_labels_class"] += f"\n    {k.lower().replace(' ', '_')} = '{k}' # {description}"
        variables["custom_labels_class"] += f"\n    {k.lower().replace(' ', '_')} = {description}"
        labels_minimal_to_labels_dict[k.lower().replace(' ', '_')] = k
        counter += 1
    variables["labels_minimal_to_labels_dict"] = labels_minimal_to_labels_dict

def get_user_labels(current_labels: List[str] = None):
    """
    Only keep labels that has been added by the user
    """
    try:
        enable_custom_labels = get_settings().config.get('enable_custom_labels', False)
        custom_labels = get_settings().get('custom_labels', [])
        if current_labels is None:
            current_labels = []
        user_labels = []
        for label in current_labels:
            if label.lower() in ['bug fix', 'tests', 'enhancement', 'documentation', 'other']:
                continue
            if enable_custom_labels:
                if label in custom_labels:
                    continue
            user_labels.append(label)
        if user_labels:
            get_logger().debug(f"Keeping user labels: {user_labels}")
    except Exception as e:
        get_logger().exception(f"Failed to get user labels: {e}")
        return current_labels
    return user_labels


def get_max_tokens(model):
    """
    Get the maximum number of tokens allowed for a model.
    logic:
    (1) If the model is in './pr_agent/algo/__init__.py', use the value from there.
    (2) else, the user needs to define explicitly 'config.custom_model_max_tokens'

    For both cases, we further limit the number of tokens to 'config.max_model_tokens' if it is set.
    This aims to improve the algorithmic quality, as the AI model degrades in performance when the input is too long.
    """
    settings = get_settings()
    if model in MAX_TOKENS:
        max_tokens_model = MAX_TOKENS[model]
    elif settings.config.custom_model_max_tokens > 0:
        max_tokens_model = settings.config.custom_model_max_tokens
    else:
        raise Exception(f"Ensure {model} is defined in MAX_TOKENS in ./pr_agent/algo/__init__.py or set a positive value for it in config.custom_model_max_tokens")

    if settings.config.max_model_tokens and settings.config.max_model_tokens > 0:
        max_tokens_model = min(settings.config.max_model_tokens, max_tokens_model)
    return max_tokens_model


def clip_tokens(text: str, max_tokens: int, add_three_dots=True, num_input_tokens=None, delete_last_line=False) -> str:
    """
    Clip the number of tokens in a string to a maximum number of tokens.

    Args:
        text (str): The string to clip.
        max_tokens (int): The maximum number of tokens allowed in the string.
        add_three_dots (bool, optional): A boolean indicating whether to add three dots at the end of the clipped
    Returns:
        str: The clipped string.
    """
    if not text:
        return text

    try:
        if num_input_tokens is None:
            encoder = TokenEncoder.get_token_encoder()
            num_input_tokens = len(encoder.encode(text))
        if num_input_tokens <= max_tokens:
            return text
        if max_tokens < 0:
            return ""

        # calculate the number of characters to keep
        num_chars = len(text)
        chars_per_token = num_chars / num_input_tokens
        factor = 0.9  # reduce by 10% to be safe
        num_output_chars = int(factor * chars_per_token * max_tokens)

        # clip the text
        if num_output_chars > 0:
            clipped_text = text[:num_output_chars]
            if delete_last_line:
                clipped_text = clipped_text.rsplit('\n', 1)[0]
            if add_three_dots:
                clipped_text += "\n...(truncated)"
        else: # if the text is empty
            clipped_text =  ""

        return clipped_text
    except Exception as e:
        get_logger().warning(f"Failed to clip tokens: {e}")
        return text

def replace_code_tags(text):
    """
    Replace odd instances of ` with <code> and even instances of ` with </code>
    """
    text = html.escape(text)
    parts = text.split('`')
    for i in range(1, len(parts), 2):
        parts[i] = '<code>' + parts[i] + '</code>'
    return ''.join(parts)


def find_line_number_of_relevant_line_in_file(diff_files: List[FilePatchInfo],
                                              relevant_file: str,
                                              relevant_line_in_file: str,
                                              absolute_position: int = None) -> Tuple[int, int]:
    position = -1
    if absolute_position is None:
        absolute_position = -1
    re_hunk_header = re.compile(
        r"^@@ -(\d+)(?:,(\d+))? \+(\d+)(?:,(\d+))? @@[ ]?(.*)")

    if not diff_files:
        return position, absolute_position

    for file in diff_files:
        if file.filename and (file.filename.strip() == relevant_file):
            patch = file.patch
            patch_lines = patch.splitlines()
            delta = 0
            start1, size1, start2, size2 = 0, 0, 0, 0
            if absolute_position != -1: # matching absolute to relative
                for i, line in enumerate(patch_lines):
                    # new hunk
                    if line.startswith('@@'):
                        delta = 0
                        match = re_hunk_header.match(line)
                        start1, size1, start2, size2 = map(int, match.groups()[:4])
                    elif not line.startswith('-'):
                        delta += 1

                    #
                    absolute_position_curr = start2 + delta - 1

                    if absolute_position_curr == absolute_position:
                        position = i
                        break
            else:
                # try to find the line in the patch using difflib, with some margin of error
                matches_difflib: list[str | Any] = difflib.get_close_matches(relevant_line_in_file,
                                                                             patch_lines, n=3, cutoff=0.93)
                if len(matches_difflib) == 1 and matches_difflib[0].startswith('+'):
                    relevant_line_in_file = matches_difflib[0]


                for i, line in enumerate(patch_lines):
                    if line.startswith('@@'):
                        delta = 0
                        match = re_hunk_header.match(line)
                        start1, size1, start2, size2 = map(int, match.groups()[:4])
                    elif not line.startswith('-'):
                        delta += 1

                    if relevant_line_in_file in line and line[0] != '-':
                        position = i
                        absolute_position = start2 + delta - 1
                        break

                if position == -1 and relevant_line_in_file[0] == '+':
                    no_plus_line = relevant_line_in_file[1:].lstrip()
                    for i, line in enumerate(patch_lines):
                        if line.startswith('@@'):
                            delta = 0
                            match = re_hunk_header.match(line)
                            start1, size1, start2, size2 = map(int, match.groups()[:4])
                        elif not line.startswith('-'):
                            delta += 1

                        if no_plus_line in line and line[0] != '-':
                            # The model might add a '+' to the beginning of the relevant_line_in_file even if originally
                            # it's a context line
                            position = i
                            absolute_position = start2 + delta - 1
                            break
    return position, absolute_position

def validate_and_await_rate_limit(rate_limit_status=None, git_provider=None, get_rate_limit_status_func=None):
    if git_provider and not rate_limit_status:
        rate_limit_status = {'resources': git_provider.github_client.get_rate_limit().raw_data}

    if not rate_limit_status:
        rate_limit_status = get_rate_limit_status_func()
    # validate that the rate limit is not exceeded
    is_rate_limit = False
    for key, value in rate_limit_status['resources'].items():
        if value['remaining'] == 0:
            print(f"key: {key}, value: {value}")
            is_rate_limit = True
            sleep_time_sec = value['reset'] - datetime.now().timestamp()
            sleep_time_hour = sleep_time_sec / 3600.0
            print(f"Rate limit exceeded. Sleeping for {sleep_time_hour} hours")
            if sleep_time_sec > 0:
                time.sleep(sleep_time_sec+1)

            if git_provider:
                rate_limit_status = {'resources': git_provider.github_client.get_rate_limit().raw_data}
            else:
                rate_limit_status = get_rate_limit_status_func()

    return is_rate_limit


def get_largest_component(pr_url):
    from pr_agent.tools.pr_analyzer import PRAnalyzer
    publish_output = get_settings().config.publish_output
    get_settings().config.publish_output = False  # disable publish output
    analyzer = PRAnalyzer(pr_url)
    methods_dict_files = analyzer.run_sync()
    get_settings().config.publish_output = publish_output
    max_lines_changed = 0
    file_b = ""
    component_name_b = ""
    for file in methods_dict_files:
        for method in methods_dict_files[file]:
            try:
                if methods_dict_files[file][method]['num_plus_lines'] > max_lines_changed:
                    max_lines_changed = methods_dict_files[file][method]['num_plus_lines']
                    file_b = file
                    component_name_b = method
            except:
                pass
    if component_name_b:
        get_logger().info(f"Using the largest changed component: '{component_name_b}'")
        return component_name_b, file_b
    else:
        return None, None

def github_action_output(output_data: dict, key_name: str):
    try:
        if not get_settings().get('github_action_config.enable_output', False):
            return

        key_data = output_data.get(key_name, {})
        with open(os.environ['GITHUB_OUTPUT'], 'a') as fh:
            print(f"{key_name}={json.dumps(key_data, indent=None, ensure_ascii=False)}", file=fh)
    except Exception as e:
        get_logger().error(f"Failed to write to GitHub Action output: {e}")
    return


def show_relevant_configurations(relevant_section: str) -> str:
    forbidden_keys = ['ai_disclaimer', 'ai_disclaimer_title', 'ANALYTICS_FOLDER', 'secret_provider',
                      'trial_prefix_message', 'no_eligible_message', 'identity_provider', 'ALLOWED_REPOS','APP_NAME']

    markdown_text = ""
    markdown_text += "\n<hr>\n<details> <summary><strong>🛠️ Relevant configurations:</strong></summary> \n\n"
    markdown_text +="<br>These are the relevant [configurations](https://github.com/Codium-ai/pr-agent/blob/main/pr_agent/settings/configuration.toml) for this tool:\n\n"
    markdown_text += f"**[config**]\n```yaml\n\n"
    for key, value in get_settings().config.items():
        if key in forbidden_keys:
            continue
        markdown_text += f"{key}: {value}\n"
    markdown_text += "\n```\n"
    markdown_text += f"\n**[{relevant_section}]**\n```yaml\n\n"
    for key, value in get_settings().get(relevant_section, {}).items():
        if key in forbidden_keys:
            continue
        markdown_text += f"{key}: {value}\n"
    markdown_text += "\n```"
    markdown_text += "\n</details>\n"
    return markdown_text

def is_value_no(value):
    if not value:
        return True
    value_str = str(value).strip().lower()
    if value_str == 'no' or value_str == 'none' or value_str == 'false':
        return True
    return False