mirror of
https://github.com/open-webui/open-webui
synced 2024-12-29 15:25:29 +00:00
371 lines
11 KiB
Python
371 lines
11 KiB
Python
import hashlib
|
|
import re
|
|
import time
|
|
import uuid
|
|
from datetime import timedelta
|
|
from pathlib import Path
|
|
from typing import Callable, Optional
|
|
|
|
|
|
def get_message_list(messages, 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
|
|
"""
|
|
|
|
# Find the message by its id
|
|
current_message = messages.get(message_id)
|
|
|
|
if not current_message:
|
|
return f"Message ID {message_id} not found in the history."
|
|
|
|
# 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["parentId"]
|
|
current_message = messages.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["content"], list):
|
|
for item in message["content"]:
|
|
if item["type"] == "text":
|
|
return item["text"]
|
|
else:
|
|
return message["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(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]):
|
|
"""
|
|
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":
|
|
messages[0]["content"] = f"{content}\n{messages[0]['content']}"
|
|
else:
|
|
# Insert at the beginning
|
|
messages.insert(0, {"role": "system", "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, message: Optional[str] = None, usage: Optional[dict] = None
|
|
) -> dict:
|
|
template = openai_chat_message_template(model)
|
|
template["object"] = "chat.completion.chunk"
|
|
if message:
|
|
template["choices"][0]["delta"] = {"content": message}
|
|
else:
|
|
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, usage: Optional[dict] = None
|
|
) -> dict:
|
|
template = openai_chat_message_template(model)
|
|
template["object"] = "chat.completion"
|
|
if message is not None:
|
|
template["choices"][0]["message"] = {"content": message, "role": "assistant"}
|
|
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):
|
|
sha256 = hashlib.sha256()
|
|
# Read the file in chunks to efficiently handle large files
|
|
for chunk in iter(lambda: file.read(8192), b""):
|
|
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:
|
|
print(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
|