"""File operations for AutoGPT"""
from __future__ import annotations

import hashlib
import os
import os.path
from typing import TYPE_CHECKING, Generator, Literal

import requests
from colorama import Back, Fore
from requests.adapters import HTTPAdapter, Retry

from autogpt.commands.command import command
from autogpt.commands.file_operations_utils import read_textual_file
from autogpt.logs import logger
from autogpt.memory.vector import MemoryItem, VectorMemory
from autogpt.spinner import Spinner
from autogpt.utils import readable_file_size

if TYPE_CHECKING:
    from autogpt.config import Config


Operation = Literal["write", "append", "delete"]


def text_checksum(text: str) -> str:
    """Get the hex checksum for the given text."""
    return hashlib.md5(text.encode("utf-8")).hexdigest()


def operations_from_log(
    log_path: str,
) -> Generator[tuple[Operation, str, str | None], None, None]:
    """Parse the file operations log and return a tuple containing the log entries"""
    try:
        log = open(log_path, "r", encoding="utf-8")
    except FileNotFoundError:
        return

    for line in log:
        line = line.replace("File Operation Logger", "").strip()
        if not line:
            continue
        operation, tail = line.split(": ", maxsplit=1)
        operation = operation.strip()
        if operation in ("write", "append"):
            try:
                path, checksum = (x.strip() for x in tail.rsplit(" #", maxsplit=1))
            except ValueError:
                logger.warn(f"File log entry lacks checksum: '{line}'")
                path, checksum = tail.strip(), None
            yield (operation, path, checksum)
        elif operation == "delete":
            yield (operation, tail.strip(), None)

    log.close()


def file_operations_state(log_path: str) -> dict[str, str]:
    """Iterates over the operations log and returns the expected state.

    Parses a log file at config.file_logger_path to construct a dictionary that maps
    each file path written or appended to its checksum. Deleted files are removed
    from the dictionary.

    Returns:
        A dictionary mapping file paths to their checksums.

    Raises:
        FileNotFoundError: If config.file_logger_path is not found.
        ValueError: If the log file content is not in the expected format.
    """
    state = {}
    for operation, path, checksum in operations_from_log(log_path):
        if operation in ("write", "append"):
            state[path] = checksum
        elif operation == "delete":
            del state[path]
    return state


def is_duplicate_operation(
    operation: Operation, filename: str, config: Config, checksum: str | None = None
) -> bool:
    """Check if the operation has already been performed

    Args:
        operation: The operation to check for
        filename: The name of the file to check for
        checksum: The checksum of the contents to be written

    Returns:
        True if the operation has already been performed on the file
    """
    state = file_operations_state(config.file_logger_path)
    if operation == "delete" and filename not in state:
        return True
    if operation == "write" and state.get(filename) == checksum:
        return True
    return False


def log_operation(
    operation: str, filename: str, config: Config, checksum: str | None = None
) -> None:
    """Log the file operation to the file_logger.txt

    Args:
        operation: The operation to log
        filename: The name of the file the operation was performed on
        checksum: The checksum of the contents to be written
    """
    log_entry = f"{operation}: {filename}"
    if checksum is not None:
        log_entry += f" #{checksum}"
    logger.debug(f"Logging file operation: {log_entry}")
    append_to_file(config.file_logger_path, f"{log_entry}\n", config, should_log=False)


def split_file(
    content: str, max_length: int = 4000, overlap: int = 0
) -> Generator[str, None, None]:
    """
    Split text into chunks of a specified maximum length with a specified overlap
    between chunks.

    :param content: The input text to be split into chunks
    :param max_length: The maximum length of each chunk,
        default is 4000 (about 1k token)
    :param overlap: The number of overlapping characters between chunks,
        default is no overlap
    :return: A generator yielding chunks of text
    """
    start = 0
    content_length = len(content)

    while start < content_length:
        end = start + max_length
        if end + overlap < content_length:
            chunk = content[start : end + max(overlap - 1, 0)]
        else:
            chunk = content[start:content_length]

            # Account for the case where the last chunk is shorter than the overlap, so it has already been consumed
            if len(chunk) <= overlap:
                break

        yield chunk
        start += max_length - overlap


@command("read_file", "Read a file", '"filename": "<filename>"')
def read_file(filename: str, config: Config) -> str:
    """Read a file and return the contents

    Args:
        filename (str): The name of the file to read

    Returns:
        str: The contents of the file
    """
    try:
        content = read_textual_file(filename, logger)

        # TODO: invalidate/update memory when file is edited
        file_memory = MemoryItem.from_text_file(content, filename)
        if len(file_memory.chunks) > 1:
            return file_memory.summary

        return content
    except Exception as e:
        return f"Error: {str(e)}"


def ingest_file(
    filename: str,
    memory: VectorMemory,
) -> None:
    """
    Ingest a file by reading its content, splitting it into chunks with a specified
    maximum length and overlap, and adding the chunks to the memory storage.

    Args:
        filename: The name of the file to ingest
        memory: An object with an add() method to store the chunks in memory
    """
    try:
        logger.info(f"Ingesting file {filename}")
        content = read_file(filename)

        # TODO: differentiate between different types of files
        file_memory = MemoryItem.from_text_file(content, filename)
        logger.debug(f"Created memory: {file_memory.dump()}")
        memory.add(file_memory)

        logger.info(f"Ingested {len(file_memory.e_chunks)} chunks from {filename}")
    except Exception as err:
        logger.warn(f"Error while ingesting file '{filename}': {err}")


@command("write_to_file", "Write to file", '"filename": "<filename>", "text": "<text>"')
def write_to_file(filename: str, text: str, config: Config) -> str:
    """Write text to a file

    Args:
        filename (str): The name of the file to write to
        text (str): The text to write to the file

    Returns:
        str: A message indicating success or failure
    """
    checksum = text_checksum(text)
    if is_duplicate_operation("write", filename, config, checksum):
        return "Error: File has already been updated."
    try:
        directory = os.path.dirname(filename)
        os.makedirs(directory, exist_ok=True)
        with open(filename, "w", encoding="utf-8") as f:
            f.write(text)
        log_operation("write", filename, config, checksum)
        return "File written to successfully."
    except Exception as err:
        return f"Error: {err}"


@command(
    "append_to_file", "Append to file", '"filename": "<filename>", "text": "<text>"'
)
def append_to_file(
    filename: str, text: str, config: Config, should_log: bool = True
) -> str:
    """Append text to a file

    Args:
        filename (str): The name of the file to append to
        text (str): The text to append to the file
        should_log (bool): Should log output

    Returns:
        str: A message indicating success or failure
    """
    try:
        directory = os.path.dirname(filename)
        os.makedirs(directory, exist_ok=True)
        with open(filename, "a", encoding="utf-8") as f:
            f.write(text)

        if should_log:
            with open(filename, "r", encoding="utf-8") as f:
                checksum = text_checksum(f.read())
            log_operation("append", filename, config, checksum=checksum)

        return "Text appended successfully."
    except Exception as err:
        return f"Error: {err}"


@command("delete_file", "Delete file", '"filename": "<filename>"')
def delete_file(filename: str, config: Config) -> str:
    """Delete a file

    Args:
        filename (str): The name of the file to delete

    Returns:
        str: A message indicating success or failure
    """
    if is_duplicate_operation("delete", filename, config):
        return "Error: File has already been deleted."
    try:
        os.remove(filename)
        log_operation("delete", filename, config)
        return "File deleted successfully."
    except Exception as err:
        return f"Error: {err}"


@command("list_files", "List Files in Directory", '"directory": "<directory>"')
def list_files(directory: str, config: Config) -> list[str]:
    """lists files in a directory recursively

    Args:
        directory (str): The directory to search in

    Returns:
        list[str]: A list of files found in the directory
    """
    found_files = []

    for root, _, files in os.walk(directory):
        for file in files:
            if file.startswith("."):
                continue
            relative_path = os.path.relpath(
                os.path.join(root, file), config.workspace_path
            )
            found_files.append(relative_path)

    return found_files


@command(
    "download_file",
    "Download File",
    '"url": "<url>", "filename": "<filename>"',
    lambda config: config.allow_downloads,
    "Error: You do not have user authorization to download files locally.",
)
def download_file(url, filename, config: Config):
    """Downloads a file
    Args:
        url (str): URL of the file to download
        filename (str): Filename to save the file as
    """
    try:
        directory = os.path.dirname(filename)
        os.makedirs(directory, exist_ok=True)
        message = f"{Fore.YELLOW}Downloading file from {Back.LIGHTBLUE_EX}{url}{Back.RESET}{Fore.RESET}"
        with Spinner(message, plain_output=config.plain_output) as spinner:
            session = requests.Session()
            retry = Retry(total=3, backoff_factor=1, status_forcelist=[502, 503, 504])
            adapter = HTTPAdapter(max_retries=retry)
            session.mount("http://", adapter)
            session.mount("https://", adapter)

            total_size = 0
            downloaded_size = 0

            with session.get(url, allow_redirects=True, stream=True) as r:
                r.raise_for_status()
                total_size = int(r.headers.get("Content-Length", 0))
                downloaded_size = 0

                with open(filename, "wb") as f:
                    for chunk in r.iter_content(chunk_size=8192):
                        f.write(chunk)
                        downloaded_size += len(chunk)

                        # Update the progress message
                        progress = f"{readable_file_size(downloaded_size)} / {readable_file_size(total_size)}"
                        spinner.update_message(f"{message} {progress}")

            return f'Successfully downloaded and locally stored file: "{filename}"! (Size: {readable_file_size(downloaded_size)})'
    except requests.HTTPError as err:
        return f"Got an HTTP Error whilst trying to download file: {err}"
    except Exception as err:
        return f"Error: {err}"