mirror of
https://github.com/open-webui/open-webui
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404 lines
12 KiB
Python
404 lines
12 KiB
Python
from pathlib import Path
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import hashlib
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import re
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from datetime import timedelta
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from typing import Optional, List, Tuple, Callable
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import uuid
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import time
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from utils.task import prompt_template
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def get_last_user_message_item(messages: List[dict]) -> Optional[dict]:
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for message in reversed(messages):
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if message["role"] == "user":
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return message
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return None
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def get_content_from_message(message: dict) -> Optional[str]:
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if isinstance(message["content"], list):
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for item in message["content"]:
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if item["type"] == "text":
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return item["text"]
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else:
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return message["content"]
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return None
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def get_last_user_message(messages: List[dict]) -> Optional[str]:
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message = get_last_user_message_item(messages)
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if message is None:
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return None
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return get_content_from_message(message)
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def get_last_assistant_message(messages: List[dict]) -> Optional[str]:
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for message in reversed(messages):
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if message["role"] == "assistant":
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return get_content_from_message(message)
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return None
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def get_system_message(messages: List[dict]) -> Optional[dict]:
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for message in messages:
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if message["role"] == "system":
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return message
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return None
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def remove_system_message(messages: List[dict]) -> List[dict]:
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return [message for message in messages if message["role"] != "system"]
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def pop_system_message(messages: List[dict]) -> Tuple[Optional[dict], List[dict]]:
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return get_system_message(messages), remove_system_message(messages)
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def prepend_to_first_user_message_content(
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content: str, messages: List[dict]
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) -> List[dict]:
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for message in messages:
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if message["role"] == "user":
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if isinstance(message["content"], list):
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for item in message["content"]:
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if item["type"] == "text":
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item["text"] = f"{content}\n{item['text']}"
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else:
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message["content"] = f"{content}\n{message['content']}"
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break
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return messages
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def add_or_update_system_message(content: str, messages: List[dict]):
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"""
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Adds a new system message at the beginning of the messages list
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or updates the existing system message at the beginning.
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:param msg: The message to be added or appended.
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:param messages: The list of message dictionaries.
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:return: The updated list of message dictionaries.
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"""
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if messages and messages[0].get("role") == "system":
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messages[0]["content"] += f"{content}\n{messages[0]['content']}"
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else:
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# Insert at the beginning
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messages.insert(0, {"role": "system", "content": content})
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return messages
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def openai_chat_message_template(model: str):
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return {
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"id": f"{model}-{str(uuid.uuid4())}",
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"created": int(time.time()),
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"model": model,
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"choices": [{"index": 0, "logprobs": None, "finish_reason": None}],
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}
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def openai_chat_chunk_message_template(model: str, message: str) -> dict:
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template = openai_chat_message_template(model)
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template["object"] = "chat.completion.chunk"
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template["choices"][0]["delta"] = {"content": message}
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return template
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def openai_chat_completion_message_template(model: str, message: str) -> dict:
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template = openai_chat_message_template(model)
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template["object"] = "chat.completion"
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template["choices"][0]["message"] = {"content": message, "role": "assistant"}
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template["choices"][0]["finish_reason"] = "stop"
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return template
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# inplace function: form_data is modified
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def apply_model_system_prompt_to_body(params: dict, form_data: dict, user) -> dict:
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system = params.get("system", None)
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if not system:
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return form_data
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if user:
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template_params = {
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"user_name": user.name,
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"user_location": user.info.get("location") if user.info else None,
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}
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else:
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template_params = {}
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system = prompt_template(system, **template_params)
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form_data["messages"] = add_or_update_system_message(
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system, form_data.get("messages", [])
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)
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return form_data
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# inplace function: form_data is modified
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def apply_model_params_to_body(
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params: dict, form_data: dict, mappings: dict[str, Callable]
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) -> dict:
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if not params:
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return form_data
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for key, cast_func in mappings.items():
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if (value := params.get(key)) is not None:
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form_data[key] = cast_func(value)
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return form_data
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# inplace function: form_data is modified
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def apply_model_params_to_body_openai(params: dict, form_data: dict) -> dict:
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mappings = {
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"temperature": float,
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"top_p": int,
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"max_tokens": int,
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"frequency_penalty": int,
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"seed": lambda x: x,
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"stop": lambda x: [bytes(s, "utf-8").decode("unicode_escape") for s in x],
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}
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return apply_model_params_to_body(params, form_data, mappings)
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def apply_model_params_to_body_ollama(params: dict, form_data: dict) -> dict:
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opts = [
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"temperature",
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"top_p",
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"seed",
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"mirostat",
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"mirostat_eta",
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"mirostat_tau",
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"num_ctx",
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"num_batch",
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"num_keep",
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"repeat_last_n",
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"tfs_z",
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"top_k",
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"min_p",
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"use_mmap",
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"use_mlock",
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"num_thread",
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]
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mappings = {i: lambda x: x for i in opts}
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form_data = apply_model_params_to_body(params, form_data, mappings)
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name_differences = {
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"max_tokens": "num_predict",
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"frequency_penalty": "repeat_penalty",
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}
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for key, value in name_differences.items():
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if (param := params.get(key, None)) is not None:
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form_data[value] = param
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return form_data
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def get_gravatar_url(email):
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# Trim leading and trailing whitespace from
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# an email address and force all characters
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# to lower case
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address = str(email).strip().lower()
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# Create a SHA256 hash of the final string
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hash_object = hashlib.sha256(address.encode())
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hash_hex = hash_object.hexdigest()
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# Grab the actual image URL
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return f"https://www.gravatar.com/avatar/{hash_hex}?d=mp"
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def calculate_sha256(file):
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sha256 = hashlib.sha256()
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# Read the file in chunks to efficiently handle large files
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for chunk in iter(lambda: file.read(8192), b""):
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sha256.update(chunk)
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return sha256.hexdigest()
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def calculate_sha256_string(string):
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# Create a new SHA-256 hash object
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sha256_hash = hashlib.sha256()
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# Update the hash object with the bytes of the input string
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sha256_hash.update(string.encode("utf-8"))
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# Get the hexadecimal representation of the hash
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hashed_string = sha256_hash.hexdigest()
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return hashed_string
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def validate_email_format(email: str) -> bool:
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if email.endswith("@localhost"):
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return True
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return bool(re.match(r"[^@]+@[^@]+\.[^@]+", email))
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def sanitize_filename(file_name):
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# Convert to lowercase
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lower_case_file_name = file_name.lower()
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# Remove special characters using regular expression
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sanitized_file_name = re.sub(r"[^\w\s]", "", lower_case_file_name)
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# Replace spaces with dashes
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final_file_name = re.sub(r"\s+", "-", sanitized_file_name)
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return final_file_name
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def extract_folders_after_data_docs(path):
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# Convert the path to a Path object if it's not already
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path = Path(path)
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# Extract parts of the path
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parts = path.parts
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# Find the index of '/data/docs' in the path
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try:
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index_data_docs = parts.index("data") + 1
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index_docs = parts.index("docs", index_data_docs) + 1
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except ValueError:
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return []
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# Exclude the filename and accumulate folder names
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tags = []
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folders = parts[index_docs:-1]
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for idx, _ in enumerate(folders):
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tags.append("/".join(folders[: idx + 1]))
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return tags
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def parse_duration(duration: str) -> Optional[timedelta]:
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if duration == "-1" or duration == "0":
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return None
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# Regular expression to find number and unit pairs
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pattern = r"(-?\d+(\.\d+)?)(ms|s|m|h|d|w)"
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matches = re.findall(pattern, duration)
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if not matches:
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raise ValueError("Invalid duration string")
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total_duration = timedelta()
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for number, _, unit in matches:
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number = float(number)
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if unit == "ms":
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total_duration += timedelta(milliseconds=number)
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elif unit == "s":
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total_duration += timedelta(seconds=number)
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elif unit == "m":
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total_duration += timedelta(minutes=number)
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elif unit == "h":
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total_duration += timedelta(hours=number)
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elif unit == "d":
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total_duration += timedelta(days=number)
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elif unit == "w":
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total_duration += timedelta(weeks=number)
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return total_duration
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def parse_ollama_modelfile(model_text):
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parameters_meta = {
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"mirostat": int,
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"mirostat_eta": float,
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"mirostat_tau": float,
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"num_ctx": int,
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"repeat_last_n": int,
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"repeat_penalty": float,
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"temperature": float,
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"seed": int,
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"tfs_z": float,
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"num_predict": int,
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"top_k": int,
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"top_p": float,
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"num_keep": int,
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"typical_p": float,
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"presence_penalty": float,
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"frequency_penalty": float,
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"penalize_newline": bool,
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"numa": bool,
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"num_batch": int,
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"num_gpu": int,
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"main_gpu": int,
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"low_vram": bool,
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"f16_kv": bool,
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"vocab_only": bool,
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"use_mmap": bool,
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"use_mlock": bool,
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"num_thread": int,
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}
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data = {"base_model_id": None, "params": {}}
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# Parse base model
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base_model_match = re.search(
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r"^FROM\s+(\w+)", model_text, re.MULTILINE | re.IGNORECASE
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)
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if base_model_match:
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data["base_model_id"] = base_model_match.group(1)
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# Parse template
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template_match = re.search(
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r'TEMPLATE\s+"""(.+?)"""', model_text, re.DOTALL | re.IGNORECASE
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)
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if template_match:
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data["params"] = {"template": template_match.group(1).strip()}
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# Parse stops
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stops = re.findall(r'PARAMETER stop "(.*?)"', model_text, re.IGNORECASE)
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if stops:
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data["params"]["stop"] = stops
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# Parse other parameters from the provided list
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for param, param_type in parameters_meta.items():
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param_match = re.search(rf"PARAMETER {param} (.+)", model_text, re.IGNORECASE)
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if param_match:
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value = param_match.group(1)
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try:
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if param_type is int:
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value = int(value)
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elif param_type is float:
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value = float(value)
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elif param_type is bool:
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value = value.lower() == "true"
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except Exception as e:
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print(e)
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continue
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data["params"][param] = value
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# Parse adapter
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adapter_match = re.search(r"ADAPTER (.+)", model_text, re.IGNORECASE)
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if adapter_match:
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data["params"]["adapter"] = adapter_match.group(1)
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# Parse system description
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system_desc_match = re.search(
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r'SYSTEM\s+"""(.+?)"""', model_text, re.DOTALL | re.IGNORECASE
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)
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system_desc_match_single = re.search(
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r"SYSTEM\s+([^\n]+)", model_text, re.IGNORECASE
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)
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if system_desc_match:
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data["params"]["system"] = system_desc_match.group(1).strip()
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elif system_desc_match_single:
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data["params"]["system"] = system_desc_match_single.group(1).strip()
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# Parse messages
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messages = []
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message_matches = re.findall(r"MESSAGE (\w+) (.+)", model_text, re.IGNORECASE)
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for role, content in message_matches:
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messages.append({"role": role, "content": content})
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if messages:
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data["params"]["messages"] = messages
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return data
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