misc.py 9.8 KB

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  1. import hashlib
  2. import re
  3. import time
  4. import uuid
  5. from datetime import timedelta
  6. from pathlib import Path
  7. from typing import Callable, Optional
  8. def get_messages_content(messages: list[dict]) -> str:
  9. return "\n".join(
  10. [
  11. f"{message['role'].upper()}: {get_content_from_message(message)}"
  12. for message in messages
  13. ]
  14. )
  15. def get_last_user_message_item(messages: list[dict]) -> Optional[dict]:
  16. for message in reversed(messages):
  17. if message["role"] == "user":
  18. return message
  19. return None
  20. def get_content_from_message(message: dict) -> Optional[str]:
  21. if isinstance(message["content"], list):
  22. for item in message["content"]:
  23. if item["type"] == "text":
  24. return item["text"]
  25. else:
  26. return message["content"]
  27. return None
  28. def get_last_user_message(messages: list[dict]) -> Optional[str]:
  29. message = get_last_user_message_item(messages)
  30. if message is None:
  31. return None
  32. return get_content_from_message(message)
  33. def get_last_assistant_message(messages: list[dict]) -> Optional[str]:
  34. for message in reversed(messages):
  35. if message["role"] == "assistant":
  36. return get_content_from_message(message)
  37. return None
  38. def get_system_message(messages: list[dict]) -> Optional[dict]:
  39. for message in messages:
  40. if message["role"] == "system":
  41. return message
  42. return None
  43. def remove_system_message(messages: list[dict]) -> list[dict]:
  44. return [message for message in messages if message["role"] != "system"]
  45. def pop_system_message(messages: list[dict]) -> tuple[Optional[dict], list[dict]]:
  46. return get_system_message(messages), remove_system_message(messages)
  47. def prepend_to_first_user_message_content(
  48. content: str, messages: list[dict]
  49. ) -> list[dict]:
  50. for message in messages:
  51. if message["role"] == "user":
  52. if isinstance(message["content"], list):
  53. for item in message["content"]:
  54. if item["type"] == "text":
  55. item["text"] = f"{content}\n{item['text']}"
  56. else:
  57. message["content"] = f"{content}\n{message['content']}"
  58. break
  59. return messages
  60. def add_or_update_system_message(content: str, messages: list[dict]):
  61. """
  62. Adds a new system message at the beginning of the messages list
  63. or updates the existing system message at the beginning.
  64. :param msg: The message to be added or appended.
  65. :param messages: The list of message dictionaries.
  66. :return: The updated list of message dictionaries.
  67. """
  68. if messages and messages[0].get("role") == "system":
  69. messages[0]["content"] = f"{content}\n{messages[0]['content']}"
  70. else:
  71. # Insert at the beginning
  72. messages.insert(0, {"role": "system", "content": content})
  73. return messages
  74. def openai_chat_message_template(model: str):
  75. return {
  76. "id": f"{model}-{str(uuid.uuid4())}",
  77. "created": int(time.time()),
  78. "model": model,
  79. "choices": [{"index": 0, "logprobs": None, "finish_reason": None}],
  80. }
  81. def openai_chat_chunk_message_template(
  82. model: str, message: Optional[str] = None
  83. ) -> dict:
  84. template = openai_chat_message_template(model)
  85. template["object"] = "chat.completion.chunk"
  86. if message:
  87. template["choices"][0]["delta"] = {"content": message}
  88. else:
  89. template["choices"][0]["finish_reason"] = "stop"
  90. return template
  91. def openai_chat_completion_message_template(
  92. model: str, message: Optional[str] = None
  93. ) -> dict:
  94. template = openai_chat_message_template(model)
  95. template["object"] = "chat.completion"
  96. if message:
  97. template["choices"][0]["message"] = {"content": message, "role": "assistant"}
  98. template["choices"][0]["finish_reason"] = "stop"
  99. return template
  100. def get_gravatar_url(email):
  101. # Trim leading and trailing whitespace from
  102. # an email address and force all characters
  103. # to lower case
  104. address = str(email).strip().lower()
  105. # Create a SHA256 hash of the final string
  106. hash_object = hashlib.sha256(address.encode())
  107. hash_hex = hash_object.hexdigest()
  108. # Grab the actual image URL
  109. return f"https://www.gravatar.com/avatar/{hash_hex}?d=mp"
  110. def calculate_sha256(file):
  111. sha256 = hashlib.sha256()
  112. # Read the file in chunks to efficiently handle large files
  113. for chunk in iter(lambda: file.read(8192), b""):
  114. sha256.update(chunk)
  115. return sha256.hexdigest()
  116. def calculate_sha256_string(string):
  117. # Create a new SHA-256 hash object
  118. sha256_hash = hashlib.sha256()
  119. # Update the hash object with the bytes of the input string
  120. sha256_hash.update(string.encode("utf-8"))
  121. # Get the hexadecimal representation of the hash
  122. hashed_string = sha256_hash.hexdigest()
  123. return hashed_string
  124. def validate_email_format(email: str) -> bool:
  125. if email.endswith("@localhost"):
  126. return True
  127. return bool(re.match(r"[^@]+@[^@]+\.[^@]+", email))
  128. def sanitize_filename(file_name):
  129. # Convert to lowercase
  130. lower_case_file_name = file_name.lower()
  131. # Remove special characters using regular expression
  132. sanitized_file_name = re.sub(r"[^\w\s]", "", lower_case_file_name)
  133. # Replace spaces with dashes
  134. final_file_name = re.sub(r"\s+", "-", sanitized_file_name)
  135. return final_file_name
  136. def extract_folders_after_data_docs(path):
  137. # Convert the path to a Path object if it's not already
  138. path = Path(path)
  139. # Extract parts of the path
  140. parts = path.parts
  141. # Find the index of '/data/docs' in the path
  142. try:
  143. index_data_docs = parts.index("data") + 1
  144. index_docs = parts.index("docs", index_data_docs) + 1
  145. except ValueError:
  146. return []
  147. # Exclude the filename and accumulate folder names
  148. tags = []
  149. folders = parts[index_docs:-1]
  150. for idx, _ in enumerate(folders):
  151. tags.append("/".join(folders[: idx + 1]))
  152. return tags
  153. def parse_duration(duration: str) -> Optional[timedelta]:
  154. if duration == "-1" or duration == "0":
  155. return None
  156. # Regular expression to find number and unit pairs
  157. pattern = r"(-?\d+(\.\d+)?)(ms|s|m|h|d|w)"
  158. matches = re.findall(pattern, duration)
  159. if not matches:
  160. raise ValueError("Invalid duration string")
  161. total_duration = timedelta()
  162. for number, _, unit in matches:
  163. number = float(number)
  164. if unit == "ms":
  165. total_duration += timedelta(milliseconds=number)
  166. elif unit == "s":
  167. total_duration += timedelta(seconds=number)
  168. elif unit == "m":
  169. total_duration += timedelta(minutes=number)
  170. elif unit == "h":
  171. total_duration += timedelta(hours=number)
  172. elif unit == "d":
  173. total_duration += timedelta(days=number)
  174. elif unit == "w":
  175. total_duration += timedelta(weeks=number)
  176. return total_duration
  177. def parse_ollama_modelfile(model_text):
  178. parameters_meta = {
  179. "mirostat": int,
  180. "mirostat_eta": float,
  181. "mirostat_tau": float,
  182. "num_ctx": int,
  183. "repeat_last_n": int,
  184. "repeat_penalty": float,
  185. "temperature": float,
  186. "seed": int,
  187. "tfs_z": float,
  188. "num_predict": int,
  189. "top_k": int,
  190. "top_p": float,
  191. "num_keep": int,
  192. "typical_p": float,
  193. "presence_penalty": float,
  194. "frequency_penalty": float,
  195. "penalize_newline": bool,
  196. "numa": bool,
  197. "num_batch": int,
  198. "num_gpu": int,
  199. "main_gpu": int,
  200. "low_vram": bool,
  201. "f16_kv": bool,
  202. "vocab_only": bool,
  203. "use_mmap": bool,
  204. "use_mlock": bool,
  205. "num_thread": int,
  206. }
  207. data = {"base_model_id": None, "params": {}}
  208. # Parse base model
  209. base_model_match = re.search(
  210. r"^FROM\s+(\w+)", model_text, re.MULTILINE | re.IGNORECASE
  211. )
  212. if base_model_match:
  213. data["base_model_id"] = base_model_match.group(1)
  214. # Parse template
  215. template_match = re.search(
  216. r'TEMPLATE\s+"""(.+?)"""', model_text, re.DOTALL | re.IGNORECASE
  217. )
  218. if template_match:
  219. data["params"] = {"template": template_match.group(1).strip()}
  220. # Parse stops
  221. stops = re.findall(r'PARAMETER stop "(.*?)"', model_text, re.IGNORECASE)
  222. if stops:
  223. data["params"]["stop"] = stops
  224. # Parse other parameters from the provided list
  225. for param, param_type in parameters_meta.items():
  226. param_match = re.search(rf"PARAMETER {param} (.+)", model_text, re.IGNORECASE)
  227. if param_match:
  228. value = param_match.group(1)
  229. try:
  230. if param_type is int:
  231. value = int(value)
  232. elif param_type is float:
  233. value = float(value)
  234. elif param_type is bool:
  235. value = value.lower() == "true"
  236. except Exception as e:
  237. print(e)
  238. continue
  239. data["params"][param] = value
  240. # Parse adapter
  241. adapter_match = re.search(r"ADAPTER (.+)", model_text, re.IGNORECASE)
  242. if adapter_match:
  243. data["params"]["adapter"] = adapter_match.group(1)
  244. # Parse system description
  245. system_desc_match = re.search(
  246. r'SYSTEM\s+"""(.+?)"""', model_text, re.DOTALL | re.IGNORECASE
  247. )
  248. system_desc_match_single = re.search(
  249. r"SYSTEM\s+([^\n]+)", model_text, re.IGNORECASE
  250. )
  251. if system_desc_match:
  252. data["params"]["system"] = system_desc_match.group(1).strip()
  253. elif system_desc_match_single:
  254. data["params"]["system"] = system_desc_match_single.group(1).strip()
  255. # Parse messages
  256. messages = []
  257. message_matches = re.findall(r"MESSAGE (\w+) (.+)", model_text, re.IGNORECASE)
  258. for role, content in message_matches:
  259. messages.append({"role": role, "content": content})
  260. if messages:
  261. data["params"]["messages"] = messages
  262. return data