config.py 12 KB

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  1. import os
  2. import sys
  3. import logging
  4. import chromadb
  5. from chromadb import Settings
  6. from base64 import b64encode
  7. from bs4 import BeautifulSoup
  8. from pathlib import Path
  9. import json
  10. import yaml
  11. import markdown
  12. import requests
  13. import shutil
  14. from secrets import token_bytes
  15. from constants import ERROR_MESSAGES
  16. try:
  17. from dotenv import load_dotenv, find_dotenv
  18. load_dotenv(find_dotenv("../.env"))
  19. except ImportError:
  20. log.warning("dotenv not installed, skipping...")
  21. WEBUI_NAME = "Open WebUI"
  22. WEBUI_FAVICON_URL = "https://openwebui.com/favicon.png"
  23. shutil.copyfile("../build/favicon.png", "./static/favicon.png")
  24. ####################################
  25. # ENV (dev,test,prod)
  26. ####################################
  27. ENV = os.environ.get("ENV", "dev")
  28. try:
  29. with open(f"../package.json", "r") as f:
  30. PACKAGE_DATA = json.load(f)
  31. except:
  32. PACKAGE_DATA = {"version": "0.0.0"}
  33. VERSION = PACKAGE_DATA["version"]
  34. # Function to parse each section
  35. def parse_section(section):
  36. items = []
  37. for li in section.find_all("li"):
  38. # Extract raw HTML string
  39. raw_html = str(li)
  40. # Extract text without HTML tags
  41. text = li.get_text(separator=" ", strip=True)
  42. # Split into title and content
  43. parts = text.split(": ", 1)
  44. title = parts[0].strip() if len(parts) > 1 else ""
  45. content = parts[1].strip() if len(parts) > 1 else text
  46. items.append({"title": title, "content": content, "raw": raw_html})
  47. return items
  48. try:
  49. with open("../CHANGELOG.md", "r") as file:
  50. changelog_content = file.read()
  51. except:
  52. changelog_content = ""
  53. # Convert markdown content to HTML
  54. html_content = markdown.markdown(changelog_content)
  55. # Parse the HTML content
  56. soup = BeautifulSoup(html_content, "html.parser")
  57. # Initialize JSON structure
  58. changelog_json = {}
  59. # Iterate over each version
  60. for version in soup.find_all("h2"):
  61. version_number = version.get_text().strip().split(" - ")[0][1:-1] # Remove brackets
  62. date = version.get_text().strip().split(" - ")[1]
  63. version_data = {"date": date}
  64. # Find the next sibling that is a h3 tag (section title)
  65. current = version.find_next_sibling()
  66. while current and current.name != "h2":
  67. if current.name == "h3":
  68. section_title = current.get_text().lower() # e.g., "added", "fixed"
  69. section_items = parse_section(current.find_next_sibling("ul"))
  70. version_data[section_title] = section_items
  71. # Move to the next element
  72. current = current.find_next_sibling()
  73. changelog_json[version_number] = version_data
  74. CHANGELOG = changelog_json
  75. ####################################
  76. # LOGGING
  77. ####################################
  78. log_levels = ["CRITICAL", "ERROR", "WARNING", "INFO", "DEBUG"]
  79. GLOBAL_LOG_LEVEL = os.environ.get("GLOBAL_LOG_LEVEL", "").upper()
  80. if GLOBAL_LOG_LEVEL in log_levels:
  81. logging.basicConfig(stream=sys.stdout, level=GLOBAL_LOG_LEVEL, force=True)
  82. else:
  83. GLOBAL_LOG_LEVEL = "INFO"
  84. log = logging.getLogger(__name__)
  85. log.info(f"GLOBAL_LOG_LEVEL: {GLOBAL_LOG_LEVEL}")
  86. log_sources = ["AUDIO", "CONFIG", "DB", "IMAGES", "LITELLM", "MAIN", "MODELS", "OLLAMA", "OPENAI", "RAG"]
  87. SRC_LOG_LEVELS = {}
  88. for source in log_sources:
  89. log_env_var = source + "_LOG_LEVEL"
  90. SRC_LOG_LEVELS[source] = os.environ.get(log_env_var, "").upper()
  91. if SRC_LOG_LEVELS[source] not in log_levels:
  92. SRC_LOG_LEVELS[source] = GLOBAL_LOG_LEVEL
  93. log.info(f"{log_env_var}: {SRC_LOG_LEVELS[source]}")
  94. log.setLevel(SRC_LOG_LEVELS["CONFIG"])
  95. ####################################
  96. # CUSTOM_NAME
  97. ####################################
  98. CUSTOM_NAME = os.environ.get("CUSTOM_NAME", "")
  99. if CUSTOM_NAME:
  100. try:
  101. r = requests.get(f"https://api.openwebui.com/api/v1/custom/{CUSTOM_NAME}")
  102. data = r.json()
  103. if r.ok:
  104. if "logo" in data:
  105. WEBUI_FAVICON_URL = url = (
  106. f"https://api.openwebui.com{data['logo']}"
  107. if data["logo"][0] == "/"
  108. else data["logo"]
  109. )
  110. r = requests.get(url, stream=True)
  111. if r.status_code == 200:
  112. with open("./static/favicon.png", "wb") as f:
  113. r.raw.decode_content = True
  114. shutil.copyfileobj(r.raw, f)
  115. WEBUI_NAME = data["name"]
  116. except Exception as e:
  117. log.exception(e)
  118. pass
  119. ####################################
  120. # DATA/FRONTEND BUILD DIR
  121. ####################################
  122. DATA_DIR = str(Path(os.getenv("DATA_DIR", "./data")).resolve())
  123. FRONTEND_BUILD_DIR = str(Path(os.getenv("FRONTEND_BUILD_DIR", "../build")))
  124. try:
  125. with open(f"{DATA_DIR}/config.json", "r") as f:
  126. CONFIG_DATA = json.load(f)
  127. except:
  128. CONFIG_DATA = {}
  129. ####################################
  130. # File Upload DIR
  131. ####################################
  132. UPLOAD_DIR = f"{DATA_DIR}/uploads"
  133. Path(UPLOAD_DIR).mkdir(parents=True, exist_ok=True)
  134. ####################################
  135. # Cache DIR
  136. ####################################
  137. CACHE_DIR = f"{DATA_DIR}/cache"
  138. Path(CACHE_DIR).mkdir(parents=True, exist_ok=True)
  139. ####################################
  140. # Docs DIR
  141. ####################################
  142. DOCS_DIR = f"{DATA_DIR}/docs"
  143. Path(DOCS_DIR).mkdir(parents=True, exist_ok=True)
  144. ####################################
  145. # LITELLM_CONFIG
  146. ####################################
  147. def create_config_file(file_path):
  148. directory = os.path.dirname(file_path)
  149. # Check if directory exists, if not, create it
  150. if not os.path.exists(directory):
  151. os.makedirs(directory)
  152. # Data to write into the YAML file
  153. config_data = {
  154. "general_settings": {},
  155. "litellm_settings": {},
  156. "model_list": [],
  157. "router_settings": {},
  158. }
  159. # Write data to YAML file
  160. with open(file_path, "w") as file:
  161. yaml.dump(config_data, file)
  162. LITELLM_CONFIG_PATH = f"{DATA_DIR}/litellm/config.yaml"
  163. if not os.path.exists(LITELLM_CONFIG_PATH):
  164. log.info("Config file doesn't exist. Creating...")
  165. create_config_file(LITELLM_CONFIG_PATH)
  166. log.info("Config file created successfully.")
  167. ####################################
  168. # OLLAMA_BASE_URL
  169. ####################################
  170. OLLAMA_API_BASE_URL = os.environ.get(
  171. "OLLAMA_API_BASE_URL", "http://localhost:11434/api"
  172. )
  173. OLLAMA_BASE_URL = os.environ.get("OLLAMA_BASE_URL", "")
  174. KUBERNETES_SERVICE_HOST = os.environ.get("KUBERNETES_SERVICE_HOST", "")
  175. if OLLAMA_BASE_URL == "" and OLLAMA_API_BASE_URL != "":
  176. OLLAMA_BASE_URL = (
  177. OLLAMA_API_BASE_URL[:-4]
  178. if OLLAMA_API_BASE_URL.endswith("/api")
  179. else OLLAMA_API_BASE_URL
  180. )
  181. if ENV == "prod":
  182. if OLLAMA_BASE_URL == "/ollama" and KUBERNETES_SERVICE_HOST == "":
  183. OLLAMA_BASE_URL = "http://host.docker.internal:11434"
  184. else:
  185. OLLAMA_BASE_URL = "http://ollama-service.open-webui.svc.cluster.local:11434"
  186. OLLAMA_BASE_URLS = os.environ.get("OLLAMA_BASE_URLS", "")
  187. OLLAMA_BASE_URLS = OLLAMA_BASE_URLS if OLLAMA_BASE_URLS != "" else OLLAMA_BASE_URL
  188. OLLAMA_BASE_URLS = [url.strip() for url in OLLAMA_BASE_URLS.split(";")]
  189. ####################################
  190. # OPENAI_API
  191. ####################################
  192. OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY", "")
  193. OPENAI_API_BASE_URL = os.environ.get("OPENAI_API_BASE_URL", "")
  194. if OPENAI_API_BASE_URL == "":
  195. OPENAI_API_BASE_URL = "https://api.openai.com/v1"
  196. OPENAI_API_KEYS = os.environ.get("OPENAI_API_KEYS", "")
  197. OPENAI_API_KEYS = OPENAI_API_KEYS if OPENAI_API_KEYS != "" else OPENAI_API_KEY
  198. OPENAI_API_KEYS = [url.strip() for url in OPENAI_API_KEYS.split(";")]
  199. OPENAI_API_BASE_URLS = os.environ.get("OPENAI_API_BASE_URLS", "")
  200. OPENAI_API_BASE_URLS = (
  201. OPENAI_API_BASE_URLS if OPENAI_API_BASE_URLS != "" else OPENAI_API_BASE_URL
  202. )
  203. OPENAI_API_BASE_URLS = [
  204. url.strip() if url != "" else "https://api.openai.com/v1"
  205. for url in OPENAI_API_BASE_URLS.split(";")
  206. ]
  207. ####################################
  208. # WEBUI
  209. ####################################
  210. ENABLE_SIGNUP = os.environ.get("ENABLE_SIGNUP", "True").lower() == "true"
  211. DEFAULT_MODELS = os.environ.get("DEFAULT_MODELS", None)
  212. DEFAULT_PROMPT_SUGGESTIONS = (
  213. CONFIG_DATA["ui"]["prompt_suggestions"]
  214. if "ui" in CONFIG_DATA
  215. and "prompt_suggestions" in CONFIG_DATA["ui"]
  216. and type(CONFIG_DATA["ui"]["prompt_suggestions"]) is list
  217. else [
  218. {
  219. "title": ["Help me study", "vocabulary for a college entrance exam"],
  220. "content": "Help me study vocabulary: write a sentence for me to fill in the blank, and I'll try to pick the correct option.",
  221. },
  222. {
  223. "title": ["Give me ideas", "for what to do with my kids' art"],
  224. "content": "What are 5 creative things I could do with my kids' art? I don't want to throw them away, but it's also so much clutter.",
  225. },
  226. {
  227. "title": ["Tell me a fun fact", "about the Roman Empire"],
  228. "content": "Tell me a random fun fact about the Roman Empire",
  229. },
  230. {
  231. "title": ["Show me a code snippet", "of a website's sticky header"],
  232. "content": "Show me a code snippet of a website's sticky header in CSS and JavaScript.",
  233. },
  234. ]
  235. )
  236. DEFAULT_USER_ROLE = os.getenv("DEFAULT_USER_ROLE", "pending")
  237. USER_PERMISSIONS_CHAT_DELETION = (
  238. os.environ.get("USER_PERMISSIONS_CHAT_DELETION", "True").lower() == "true"
  239. )
  240. USER_PERMISSIONS = {"chat": {"deletion": USER_PERMISSIONS_CHAT_DELETION}}
  241. MODEL_FILTER_ENABLED = os.environ.get("MODEL_FILTER_ENABLED", "False").lower() == "true"
  242. MODEL_FILTER_LIST = os.environ.get("MODEL_FILTER_LIST", "")
  243. MODEL_FILTER_LIST = [model.strip() for model in MODEL_FILTER_LIST.split(";")]
  244. WEBHOOK_URL = os.environ.get("WEBHOOK_URL", "")
  245. ####################################
  246. # WEBUI_VERSION
  247. ####################################
  248. WEBUI_VERSION = os.environ.get("WEBUI_VERSION", "v1.0.0-alpha.100")
  249. ####################################
  250. # WEBUI_AUTH (Required for security)
  251. ####################################
  252. WEBUI_AUTH = True
  253. WEBUI_AUTH_TRUSTED_EMAIL_HEADER = os.environ.get(
  254. "WEBUI_AUTH_TRUSTED_EMAIL_HEADER", None)
  255. ####################################
  256. # WEBUI_SECRET_KEY
  257. ####################################
  258. WEBUI_SECRET_KEY = os.environ.get(
  259. "WEBUI_SECRET_KEY",
  260. os.environ.get(
  261. "WEBUI_JWT_SECRET_KEY", "t0p-s3cr3t"
  262. ), # DEPRECATED: remove at next major version
  263. )
  264. if WEBUI_AUTH and WEBUI_SECRET_KEY == "":
  265. raise ValueError(ERROR_MESSAGES.ENV_VAR_NOT_FOUND)
  266. ####################################
  267. # RAG
  268. ####################################
  269. CHROMA_DATA_PATH = f"{DATA_DIR}/vector_db"
  270. # this uses the model defined in the Dockerfile ENV variable. If you dont use docker or docker based deployments such as k8s, the default embedding model will be used (all-MiniLM-L6-v2)
  271. RAG_EMBEDDING_MODEL = os.environ.get("RAG_EMBEDDING_MODEL", "all-MiniLM-L6-v2")
  272. # device type ebbeding models - "cpu" (default), "cuda" (nvidia gpu required) or "mps" (apple silicon) - choosing this right can lead to better performance
  273. RAG_EMBEDDING_MODEL_DEVICE_TYPE = os.environ.get(
  274. "RAG_EMBEDDING_MODEL_DEVICE_TYPE", "cpu"
  275. )
  276. CHROMA_CLIENT = chromadb.PersistentClient(
  277. path=CHROMA_DATA_PATH,
  278. settings=Settings(allow_reset=True, anonymized_telemetry=False),
  279. )
  280. CHUNK_SIZE = 1500
  281. CHUNK_OVERLAP = 100
  282. RAG_TEMPLATE = """Use the following context as your learned knowledge, inside <context></context> XML tags.
  283. <context>
  284. [context]
  285. </context>
  286. When answer to user:
  287. - If you don't know, just say that you don't know.
  288. - If you don't know when you are not sure, ask for clarification.
  289. Avoid mentioning that you obtained the information from the context.
  290. And answer according to the language of the user's question.
  291. Given the context information, answer the query.
  292. Query: [query]"""
  293. ####################################
  294. # Transcribe
  295. ####################################
  296. WHISPER_MODEL = os.getenv("WHISPER_MODEL", "base")
  297. WHISPER_MODEL_DIR = os.getenv("WHISPER_MODEL_DIR", f"{CACHE_DIR}/whisper/models")
  298. ####################################
  299. # Images
  300. ####################################
  301. AUTOMATIC1111_BASE_URL = os.getenv("AUTOMATIC1111_BASE_URL", "")
  302. COMFYUI_BASE_URL = os.getenv("COMFYUI_BASE_URL", "")