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| import hashlib | |
| import re | |
| import time | |
| import uuid | |
| from datetime import timedelta | |
| from pathlib import Path | |
| from typing import Callable, Optional | |
| 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 | |
| ) -> 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" | |
| return template | |
| def openai_chat_completion_message_template( | |
| model: str, message: Optional[str] = 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" | |
| 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 | |