open-webui/backend/open_webui/utils/misc.py

import hashlib
import re
import threading
import time
import uuid
import logging
from datetime import timedelta
from pathlib import Path
from typing import Callable, Optional
import json


import collections.abc
from open_webui.env import SRC_LOG_LEVELS

log = logging.getLogger(__name__)
log.setLevel(SRC_LOG_LEVELS["MAIN"])


def deep_update(d, u):
    for k, v in u.items():
        if isinstance(v, collections.abc.Mapping):
            d[k] = deep_update(d.get(k, {}), v)
        else:
            d[k] = v
    return d


def get_message_list(messages_map, message_id):
    """
    Reconstructs a list of messages in order up to the specified message_id.

    :param message_id: ID of the message to reconstruct the chain
    :param messages: Message history dict containing all messages
    :return: List of ordered messages starting from the root to the given message
    """

    # Handle case where messages is None
    if not messages_map:
        return []  # Return empty list instead of None to prevent iteration errors

    # Find the message by its id
    current_message = messages_map.get(message_id)

    if not current_message:
        return []  # Return empty list instead of None to prevent iteration errors

    # Reconstruct the chain by following the parentId links
    message_list = []

    while current_message:
        message_list.insert(
            0, current_message
        )  # Insert the message at the beginning of the list
        parent_id = current_message.get("parentId")  # Use .get() for safety
        current_message = messages_map.get(parent_id) if parent_id else None

    return message_list


def get_messages_content(messages: list[dict]) -> str:
    return "\n".join(
        [
            f"{message['role'].upper()}: {get_content_from_message(message)}"
            for message in messages
        ]
    )


def get_last_user_message_item(messages: list[dict]) -> Optional[dict]:
    for message in reversed(messages):
        if message["role"] == "user":
            return message
    return None


def get_content_from_message(message: dict) -> Optional[str]:
    if isinstance(message.get("content"), list):
        for item in message["content"]:
            if item["type"] == "text":
                return item["text"]
    else:
        return message.get("content")
    return None


def get_last_user_message(messages: list[dict]) -> Optional[str]:
    message = get_last_user_message_item(messages)
    if message is None:
        return None
    return get_content_from_message(message)


def get_last_assistant_message_item(messages: list[dict]) -> Optional[dict]:
    for message in reversed(messages):
        if message["role"] == "assistant":
            return message
    return None


def get_last_assistant_message(messages: list[dict]) -> Optional[str]:
    for message in reversed(messages):
        if message["role"] == "assistant":
            return get_content_from_message(message)
    return None


def get_system_message(messages: list[dict]) -> Optional[dict]:
    for message in messages:
        if message["role"] == "system":
            return message
    return None


def remove_system_message(messages: list[dict]) -> list[dict]:
    return [message for message in messages if message["role"] != "system"]


def pop_system_message(messages: list[dict]) -> tuple[Optional[dict], list[dict]]:
    return get_system_message(messages), remove_system_message(messages)


def prepend_to_first_user_message_content(
    content: str, messages: list[dict]
) -> list[dict]:
    for message in messages:
        if message["role"] == "user":
            if isinstance(message["content"], list):
                for item in message["content"]:
                    if item["type"] == "text":
                        item["text"] = f"{content}\n{item['text']}"
            else:
                message["content"] = f"{content}\n{message['content']}"
            break
    return messages


def add_or_update_system_message(
    content: str, messages: list[dict], append: bool = False
):
    """
    Adds a new system message at the beginning of the messages list
    or updates the existing system message at the beginning.

    :param msg: The message to be added or appended.
    :param messages: The list of message dictionaries.
    :return: The updated list of message dictionaries.
    """

    if messages and messages[0].get("role") == "system":
        if append:
            messages[0]["content"] = f"{messages[0]['content']}\n{content}"
        else:
            messages[0]["content"] = f"{content}\n{messages[0]['content']}"
    else:
        # Insert at the beginning
        messages.insert(0, {"role": "system", "content": content})

    return messages


def add_or_update_user_message(content: str, messages: list[dict]):
    """
    Adds a new user message at the end of the messages list
    or updates the existing user message at the end.

    :param msg: The message to be added or appended.
    :param messages: The list of message dictionaries.
    :return: The updated list of message dictionaries.
    """

    if messages and messages[-1].get("role") == "user":
        messages[-1]["content"] = f"{messages[-1]['content']}\n{content}"
    else:
        # Insert at the end
        messages.append({"role": "user", "content": content})

    return messages


def append_or_update_assistant_message(content: str, messages: list[dict]):
    """
    Adds a new assistant message at the end of the messages list
    or updates the existing assistant message at the end.

    :param msg: The message to be added or appended.
    :param messages: The list of message dictionaries.
    :return: The updated list of message dictionaries.
    """

    if messages and messages[-1].get("role") == "assistant":
        messages[-1]["content"] = f"{messages[-1]['content']}\n{content}"
    else:
        # Insert at the end
        messages.append({"role": "assistant", "content": content})

    return messages


def openai_chat_message_template(model: str):
    return {
        "id": f"{model}-{str(uuid.uuid4())}",
        "created": int(time.time()),
        "model": model,
        "choices": [{"index": 0, "logprobs": None, "finish_reason": None}],
    }


def openai_chat_chunk_message_template(
    model: str,
    content: Optional[str] = None,
    reasoning_content: Optional[str] = None,
    tool_calls: Optional[list[dict]] = None,
    usage: Optional[dict] = None,
) -> dict:
    template = openai_chat_message_template(model)
    template["object"] = "chat.completion.chunk"

    template["choices"][0]["index"] = 0
    template["choices"][0]["delta"] = {}

    if content:
        template["choices"][0]["delta"]["content"] = content

    if reasoning_content:
        template["choices"][0]["delta"]["reasoning_content"] = reasoning_content

    if tool_calls:
        template["choices"][0]["delta"]["tool_calls"] = tool_calls

    if not content and not reasoning_content and not tool_calls:
        template["choices"][0]["finish_reason"] = "stop"

    if usage:
        template["usage"] = usage
    return template


def openai_chat_completion_message_template(
    model: str,
    message: Optional[str] = None,
    reasoning_content: Optional[str] = None,
    tool_calls: Optional[list[dict]] = None,
    usage: Optional[dict] = None,
) -> dict:
    template = openai_chat_message_template(model)
    template["object"] = "chat.completion"
    if message is not None:
        template["choices"][0]["message"] = {
            "role": "assistant",
            "content": message,
            **({"reasoning_content": reasoning_content} if reasoning_content else {}),
            **({"tool_calls": tool_calls} if tool_calls else {}),
        }

    template["choices"][0]["finish_reason"] = "stop"

    if usage:
        template["usage"] = usage
    return template


def get_gravatar_url(email):
    # Trim leading and trailing whitespace from
    # an email address and force all characters
    # to lower case
    address = str(email).strip().lower()

    # Create a SHA256 hash of the final string
    hash_object = hashlib.sha256(address.encode())
    hash_hex = hash_object.hexdigest()

    # Grab the actual image URL
    return f"https://www.gravatar.com/avatar/{hash_hex}?d=mp"


def calculate_sha256(file_path, chunk_size):
    # Compute SHA-256 hash of a file efficiently in chunks
    sha256 = hashlib.sha256()
    with open(file_path, "rb") as f:
        while chunk := f.read(chunk_size):
            sha256.update(chunk)
    return sha256.hexdigest()


def calculate_sha256_string(string):
    # Create a new SHA-256 hash object
    sha256_hash = hashlib.sha256()
    # Update the hash object with the bytes of the input string
    sha256_hash.update(string.encode("utf-8"))
    # Get the hexadecimal representation of the hash
    hashed_string = sha256_hash.hexdigest()
    return hashed_string


def validate_email_format(email: str) -> bool:
    if email.endswith("@localhost"):
        return True

    return bool(re.match(r"[^@]+@[^@]+\.[^@]+", email))


def sanitize_filename(file_name):
    # Convert to lowercase
    lower_case_file_name = file_name.lower()

    # Remove special characters using regular expression
    sanitized_file_name = re.sub(r"[^\w\s]", "", lower_case_file_name)

    # Replace spaces with dashes
    final_file_name = re.sub(r"\s+", "-", sanitized_file_name)

    return final_file_name


def extract_folders_after_data_docs(path):
    # Convert the path to a Path object if it's not already
    path = Path(path)

    # Extract parts of the path
    parts = path.parts

    # Find the index of '/data/docs' in the path
    try:
        index_data_docs = parts.index("data") + 1
        index_docs = parts.index("docs", index_data_docs) + 1
    except ValueError:
        return []

    # Exclude the filename and accumulate folder names
    tags = []

    folders = parts[index_docs:-1]
    for idx, _ in enumerate(folders):
        tags.append("/".join(folders[: idx + 1]))

    return tags


def parse_duration(duration: str) -> Optional[timedelta]:
    if duration == "-1" or duration == "0":
        return None

    # Regular expression to find number and unit pairs
    pattern = r"(-?\d+(\.\d+)?)(ms|s|m|h|d|w)"
    matches = re.findall(pattern, duration)

    if not matches:
        raise ValueError("Invalid duration string")

    total_duration = timedelta()

    for number, _, unit in matches:
        number = float(number)
        if unit == "ms":
            total_duration += timedelta(milliseconds=number)
        elif unit == "s":
            total_duration += timedelta(seconds=number)
        elif unit == "m":
            total_duration += timedelta(minutes=number)
        elif unit == "h":
            total_duration += timedelta(hours=number)
        elif unit == "d":
            total_duration += timedelta(days=number)
        elif unit == "w":
            total_duration += timedelta(weeks=number)

    return total_duration


def parse_ollama_modelfile(model_text):
    parameters_meta = {
        "mirostat": int,
        "mirostat_eta": float,
        "mirostat_tau": float,
        "num_ctx": int,
        "repeat_last_n": int,
        "repeat_penalty": float,
        "temperature": float,
        "seed": int,
        "tfs_z": float,
        "num_predict": int,
        "top_k": int,
        "top_p": float,
        "num_keep": int,
        "typical_p": float,
        "presence_penalty": float,
        "frequency_penalty": float,
        "penalize_newline": bool,
        "numa": bool,
        "num_batch": int,
        "num_gpu": int,
        "main_gpu": int,
        "low_vram": bool,
        "f16_kv": bool,
        "vocab_only": bool,
        "use_mmap": bool,
        "use_mlock": bool,
        "num_thread": int,
    }

    data = {"base_model_id": None, "params": {}}

    # Parse base model
    base_model_match = re.search(
        r"^FROM\s+(\w+)", model_text, re.MULTILINE | re.IGNORECASE
    )
    if base_model_match:
        data["base_model_id"] = base_model_match.group(1)

    # Parse template
    template_match = re.search(
        r'TEMPLATE\s+"""(.+?)"""', model_text, re.DOTALL | re.IGNORECASE
    )
    if template_match:
        data["params"] = {"template": template_match.group(1).strip()}

    # Parse stops
    stops = re.findall(r'PARAMETER stop "(.*?)"', model_text, re.IGNORECASE)
    if stops:
        data["params"]["stop"] = stops

    # Parse other parameters from the provided list
    for param, param_type in parameters_meta.items():
        param_match = re.search(rf"PARAMETER {param} (.+)", model_text, re.IGNORECASE)
        if param_match:
            value = param_match.group(1)

            try:
                if param_type is int:
                    value = int(value)
                elif param_type is float:
                    value = float(value)
                elif param_type is bool:
                    value = value.lower() == "true"
            except Exception as e:
                log.exception(f"Failed to parse parameter {param}: {e}")
                continue

            data["params"][param] = value

    # Parse adapter
    adapter_match = re.search(r"ADAPTER (.+)", model_text, re.IGNORECASE)
    if adapter_match:
        data["params"]["adapter"] = adapter_match.group(1)

    # Parse system description
    system_desc_match = re.search(
        r'SYSTEM\s+"""(.+?)"""', model_text, re.DOTALL | re.IGNORECASE
    )
    system_desc_match_single = re.search(
        r"SYSTEM\s+([^\n]+)", model_text, re.IGNORECASE
    )

    if system_desc_match:
        data["params"]["system"] = system_desc_match.group(1).strip()
    elif system_desc_match_single:
        data["params"]["system"] = system_desc_match_single.group(1).strip()

    # Parse messages
    messages = []
    message_matches = re.findall(r"MESSAGE (\w+) (.+)", model_text, re.IGNORECASE)
    for role, content in message_matches:
        messages.append({"role": role, "content": content})

    if messages:
        data["params"]["messages"] = messages

    return data


def convert_logit_bias_input_to_json(user_input):
    logit_bias_pairs = user_input.split(",")
    logit_bias_json = {}
    for pair in logit_bias_pairs:
        token, bias = pair.split(":")
        token = str(token.strip())
        bias = int(bias.strip())
        bias = 100 if bias > 100 else -100 if bias < -100 else bias
        logit_bias_json[token] = bias
    return json.dumps(logit_bias_json)


def freeze(value):
    """
    Freeze a value to make it hashable.
    """
    if isinstance(value, dict):
        return frozenset((k, freeze(v)) for k, v in value.items())
    elif isinstance(value, list):
        return tuple(freeze(v) for v in value)
    return value


def throttle(interval: float = 10.0):
    """
    Decorator to prevent a function from being called more than once within a specified duration.
    If the function is called again within the duration, it returns None. To avoid returning
    different types, the return type of the function should be Optional[T].

    :param interval: Duration in seconds to wait before allowing the function to be called again.
    """

    def decorator(func):
        last_calls = {}
        lock = threading.Lock()

        def wrapper(*args, **kwargs):
            if interval is None:
                return func(*args, **kwargs)

            key = (args, freeze(kwargs))
            now = time.time()
            if now - last_calls.get(key, 0) < interval:
                return None
            with lock:
                if now - last_calls.get(key, 0) < interval:
                    return None
                last_calls[key] = now
            return func(*args, **kwargs)

        return wrapper

    return decorator