# from functools import wraps
# from typing import Callable, Dict, Literal
#
# import playwright
#
# from agentS.tools_manager import read_pdf_content_sync
#
#
# class IntegratedBrowserTools:
#     def __init__(self, browser_env):
#         self.env = browser_env
#
#     @staticmethod
#     def get_elem_by_bid(page: playwright.sync_api.Page, bid: str,
#                         scroll_into_view: bool = False) -> playwright.sync_api.Locator:
#         if not isinstance(bid, str):
#             raise ValueError(f"expected a string, got {repr(bid)}")
#
#         current_frame = page
#
#         i = 0
#         while bid[i:] and not bid[i:].isnumeric():
#             i += 1
#             frame_bid = bid[:i]
#             frame_elem = current_frame.get_by_test_id(frame_bid)
#             if not frame_elem.count():
#                 raise ValueError(f'Could not find element with bid "{bid}"')
#             if scroll_into_view:
#                 frame_elem.scroll_into_view_if_needed(timeout=500)
#             current_frame = frame_elem.frame_locator(":scope")
#
#         elem = current_frame.get_by_test_id(bid)
#         if not elem.count():
#             raise ValueError(f'Could not find element with bid "{bid}"')
#         if scroll_into_view:
#             elem.scroll_into_view_if_needed(timeout=500)
#         return elem
#
#     @staticmethod
#     def add_demo_mode_effects(page: playwright.sync_api.Page, elem: playwright.sync_api.ElementHandle, bid: str,
#                               demo_mode: Literal["off", "default", "all_blue", "only_visible_elements"],
#                               move_cursor: bool = True):
#         # Implementation of add_demo_mode_effects function
#         # (This is a placeholder. The actual implementation would be quite long and complex.)
#         pass
#
#     def tool(func):
#         @wraps(func)
#         def wrapper(self, state: Dict, *args, **kwargs):
#             try:
#                 result = func(self, state, *args, **kwargs)
#                 self.env.last_action_error = ""
#                 return result
#             except Exception as e:
#                 self.env.last_action_error = f"{type(e).__name__}: {e}"
#                 return f"Failed to execute {func.__name__}. Error: {str(e)}"
#
#         return wrapper
#
#     @tool
#     def select_option(self, state: Dict) -> str:
#         """
#         Select option(s) in <select>, dropdown, or combobox elements. Works with HTML selects
#         and complex UI components like custom dropdowns/comboboxes.
#
#         Function simulates user interaction:
#         - Clicks to open dropdown if needed
#         - Selects specified option(s) by value or visible text
#
#         Parameters:
#         - bid (str): Unique identifier for the select/dropdown/combobox element
#         - options (str | list[str]): Option(s) to select. Single string or list of strings
#
#         Can select by option value or label. Supports multi-select for applicable components.
#
#         Examples:
#             # Single option in dropdown/combobox
#             select_option('dropdown_id', "blue")
#
#             # Multiple options in multi-select
#             select_option('multiselect_id', ["red", "green", "blue"])
#
#             # Select by visible text in combobox
#             select_option('combobox_id', "Desired Option Text")
#
#         Note: Adapts to various selection components. May perform extra steps (e.g., clicking
#         to open dropdown) for custom implementations.
#         """
#         bid = state.get(state['bid'], state[list(state.keys())[0]])
#         options = state.get(state['options'], state[list(state.keys())[1]])
#         page = self.env.page
#
#         elem = self.get_elem_by_bid(page, bid, True)
#         self.add_demo_mode_effects(page, elem, bid, demo_mode="default", move_cursor=False)
#
#         elem.select_option(options, timeout=500)
#         return f"Selected option(s) {options} in element with bid {bid}"
#
#     @tool
#     def type(self, state: Dict) -> str:
#         """
#         Type text into input fields, textareas, or contenteditable elements. Simulates
#         user typing, including potential input events and validation triggers.
#
#         Function simulates user interaction:
#         - Focuses on the target element
#         - Clears existing content (if any)
#         - Types the specified text character by character
#
#         Parameters:
#         - id (str): Unique identifier for the target input element
#         - value (str): Text to be typed into the element
#
#         Supports various input types including text, number, email, and password fields.
#         Also works with complex UI components that accept text input.
#
#         Examples:
#             # Type into a simple text input
#             type('username_input', "johndoe")
#
#             # Enter a password
#             type('password_field', "secureP@ssw0rd")
#
#             # Input text into a contenteditable div
#             type('rich_text_editor', "This is some formatted text.")
#
#         Note: May trigger associated events like 'input', 'change', and potential validation
#         scripts tied to the input field.
#         """
#         bid = state.get(state['id'], state[list(state.keys())[0]])
#         value = state.get(state['value'], state[list(state.keys())[1]])
#         page = self.env.page
#
#         elem = self.get_elem_by_bid(page, bid, True)
#         self.add_demo_mode_effects(page, elem, bid, demo_mode="default", move_cursor=False)
#
#         elem.fill(value, timeout=500)
#         return f"Typed '{value}' in element with bid {bid}"
#
#     @tool
#     def click(self, state: Dict) -> str:
#         """
#         Simulate a mouse click on a specified element. Works with various interactive
#         elements such as buttons, links, checkboxes, and custom UI components.
#
#         Function simulates user interaction:
#         - Performs a click action on the element's center
#
#         Parameters:
#         - id (str): Unique identifier for the target clickable element
#
#         Examples:
#             # Click a standard button
#             click('submit_button')
#
#             # Activate a checkbox
#             click('terms_checkbox')
#
#             # Open a dropdown menu
#             click('menu_toggle')
#
#         Note: May trigger associated events like 'click', 'focus', and potential
#         custom event listeners attached to the element or its parents.
#         """
#         bid = state.get(state['id'], state[list(state.keys())[0]])
#         page = self.env.page
#
#         elem = self.get_elem_by_bid(page, bid, True)
#         self.add_demo_mode_effects(page, elem, bid, demo_mode="default", move_cursor=True)
#
#         elem.click(timeout=500)
#         return f"Clicked on element with bid {bid}"
#
#     @tool
#     def read_page(self, state: Dict) -> str:
#         """
#         Extract and return the textual content of the current page. Handles both standard
#         web pages and PDF documents.
#
#         Function behavior:
#         - For standard web pages: Retrieves the inner text of the entire document body
#         - For PDF files: Extracts text content from the first page of the PDF
#
#         Parameters:
#         - No explicit parameters. Uses the current page state.
#
#         Returns a string containing the extracted text content.
#
#         Examples:
#             # Read content from a standard web page
#             content = read_page()
#         """
#         page = self.env.page
#         url = page.url
#
#         if 'pdf' in url.lower().split('/'):
#             # Assuming read_pdf_content_sync is defined elsewhere
#             pdf_content = read_pdf_content_sync(page=page, pages=[0])
#             return f"Read PDF content: {pdf_content}"
#         else:
#             text_content = page.evaluate('() => document.body.innerText')
#             return f"Read page content: {text_content}"
#
#     @tool
#     def scroll(self, state: Dict) -> str:
#         """
#         Perform a scrolling action on the current page. Simulates user scrolling either
#         up or down by the height of the viewport.
#
#         Function simulates user interaction:
#         - Determines the scroll direction (up or down)
#         - Scrolls the page by one full viewport height in the specified direction
#
#         Parameters:
#         - direction (str): The direction to scroll. Must be either "up" or "down".
#
#         Scrolling is performed smoothly to mimic natural user behavior.
#
#         Examples:
#             # Scroll down the page
#             scroll("down")
#
#             # Scroll up the page
#             scroll("up")
#
#         Note: The actual scroll distance may vary depending on the page layout and any
#         custom scrolling behavior implemented by the website. Some elements may become
#         fixed or sticky during scrolling, affecting the visible content.
#         """
#         page = self.env.page
#         scroll_args = state["prediction"]["args"]
#         direction = scroll_args[0]
#
#         if direction not in ["up", "down"]:
#             return f"Failed to scroll due to incorrect direction: {direction}."
#
#         if direction == "up":
#             page.evaluate("window.scrollBy(0, -window.innerHeight)")
#         else:
#             page.evaluate("window.scrollBy(0, window.innerHeight)")
#
#         return f'Scrolled {direction}'
#
#     @tool
#     def goback(self, state: Dict) -> str:
#         """
#         Navigate to the previous page in the browser's history, simulating the action
#         of clicking the browser's back button.
#
#         Function behavior:
#         - Activates the browser's built-in back navigation
#         - Waits for the previous page to load before returning
#
#         Parameters:
#         - No explicit parameters. Uses the browser's current state and history.
#
#         Returns a string indicating the URL of the page navigated to.
#
#         Examples:
#             # Navigate to the previous page
#             result = goback()
#             print("Navigated back to:", result)
#
#         Note: This action may not always result in a page change if there's no previous
#         page in the history or if the current page intercepts the back action with a
#         custom behavior (e.g., single-page applications).
#         """
#         page = self.env.page
#         page.go_back()
#         return f'Navigated to previous page: {page.url}'
#
#     @tool
#     def to_google(self, state: Dict) -> str:
#         """
#         Navigate directly to the Google search homepage, regardless of the current page.
#
#         Function behavior:
#         - Instructs the browser to load "https://www.google.com"
#         - Waits for the Google homepage to fully load before returning
#
#         Parameters:
#         - No explicit parameters. Always navigates to the same URL.
#
#         Returns a confirmation string indicating successful navigation to Google.
#
#         Examples:
#             # Navigate to Google
#             result = to_google()
#             print(result)  # Outputs: Navigated to Google
#
#         Note: This action will override the current page, potentially losing any unsaved
#         data. It's a direct navigation that doesn't use the browser's history mechanism.
#         The resulting page may vary based on geographical location, Google's A/B testing,
#         or custom Google domains for specific countries.
#         """
#         page = self.env.page
#         page.goto("https://www.google.com")
#         return f'Navigated to Google'
#
#     @staticmethod
#     @tool
#     def answer(state) -> str:
#         """
#         Provide a direct answer to a question or prompt, prefixing the response with
#         'FINAL ANSWER'.
#
#         Function behavior:
#         - Retrieves the answer from the state dictionary
#         - Prefixes the answer with 'FINAL ANSWER'
#         - Returns the formatted answer as a string
#
#         Parameters:
#         - state (Dict): A dictionary containing the prediction and arguments for the answer.
#           The answer should be the first argument in state["prediction"]["args"].
#
#         Returns a string containing 'FINAL ANSWER' followed by the provided answer text.
#
#         Examples:
#             # Provide an answer to a question
#             answer({
#                 "prediction": {
#                     "args": ["The capital of France is Paris."]
#                 }
#             })
#             # Returns: "FINAL ANSWER The capital of France is Paris."
#
#             # Give a recommendation
#             answer({
#                 "prediction": {
#                     "args": ["Based on your preferences, I recommend the XYZ smartphone."]
#                 }
#             })
#             # Returns: "FINAL ANSWER Based on your preferences, I recommend the XYZ smartphone."
#
#         Note: This tool does not generate the answer itself. It simply formats and returns
#         the answer provided in the state dictionary. The 'FINAL ANSWER' prefix is useful
#         for clearly demarcating the beginning of the answer in the output.
#         """
#         return "FINAL ANSWER " + state["prediction"]["args"][0]
#
#     def action_mapping(self, action: str) -> Callable:
#         # Map the action string to the corresponding method
#         action_dict = {
#             'select_option': self.select_option,
#             'type': self.type,
#             'click': self.click,
#             'read_page': self.read_page,
#             'scroll': self.scroll,
#             'goback': self.goback,
#             'to_google': self.to_google,
#         }
#
#         # Parse the action string to extract the method name and arguments
#         parts = action.split('(')
#         method_name = parts[0].strip()
#         args_str = parts[1].rstrip(')') if len(parts) > 1 else ''
#
#         # Get the method from the action_dict
#         method = action_dict.get(method_name)
#         if not method:
#             raise ValueError(f"Unknown action: {method_name}")
#
#         # Parse the arguments string into a dictionary
#         args_dict = {}
#         if args_str:
#             args_parts = args_str.split(',')
#             for arg in args_parts:
#                 key, value = arg.split('=')
#                 args_dict[key.strip()] = eval(value.strip())  # Use eval to parse the value
#
#         # Return a lambda function that calls the method with the parsed arguments
#         return lambda: method(args_dict)