from pathlib import Path from typing import Any, Dict, List, Optional, Union from oasst_shared.schemas import protocol as protocol_schema from pydantic import AnyHttpUrl, BaseModel, BaseSettings, FilePath, PostgresDsn, validator class TreeManagerConfiguration(BaseModel): """TreeManager configuration settings""" max_active_trees: int = 10 """Maximum number of concurrently active message trees in the database. No new initial prompt tasks are handed out to users if this number is reached.""" max_tree_depth: int = 6 """Maximum depth of message tree.""" max_children_count: int = 5 """Maximum number of reply messages per tree node.""" goal_tree_size: int = 15 """Total number of messages to gather per tree""" num_reviews_initial_prompt: int = 3 """Number of peer review checks to collect in INITIAL_PROMPT_REVIEW state.""" num_reviews_reply: int = 3 """Number of peer review checks to collect per reply (other than initial_prompt)""" p_full_labeling_review_prompt: float = 0.1 """Probability of full text-labeling (instead of mandatory only) for initial prompts""" p_full_labeling_review_reply_assistant: float = 0.1 """Probability of full text-labeling (instead of mandatory only) for assistant replies""" p_full_labeling_review_reply_prompter: float = 0.1 """Probability of full text-labeling (instead of mandatory only) for prompter replies""" acceptance_threshold_initial_prompt: float = 0.6 """Threshold for accepting an initial prompt""" acceptance_threshold_reply: float = 0.6 """Threshold for accepting a reply""" num_required_rankings: int = 3 """Number of rankings in which the message participated.""" mandatory_labels_initial_prompt: Optional[list[protocol_schema.TextLabel]] = [protocol_schema.TextLabel.spam] """Mandatory labels in text-labeling tasks for initial prompts.""" mandatory_labels_assistant_reply: Optional[list[protocol_schema.TextLabel]] = [protocol_schema.TextLabel.spam] """Mandatory labels in text-labeling tasks for assistant reylies.""" mandatory_labels_prompter_reply: Optional[list[protocol_schema.TextLabel]] = [protocol_schema.TextLabel.spam] """Mandatory labels in text-labeling tasks for prompter replies.""" class Settings(BaseSettings): PROJECT_NAME: str = "open-assistant backend" API_V1_STR: str = "/api/v1" POSTGRES_HOST: str = "localhost" POSTGRES_PORT: str = "5432" POSTGRES_USER: str = "postgres" POSTGRES_PASSWORD: str = "postgres" POSTGRES_DB: str = "postgres" DATABASE_URI: Optional[PostgresDsn] = None RATE_LIMIT: bool = True REDIS_HOST: str = "localhost" REDIS_PORT: str = "6379" DEBUG_ALLOW_ANY_API_KEY: bool = False DEBUG_SKIP_API_KEY_CHECK: bool = False DEBUG_USE_SEED_DATA: bool = False DEBUG_USE_SEED_DATA_PATH: Optional[FilePath] = ( Path(__file__).parent.parent / "test_data/realistic/realistic_seed_data.json" ) DEBUG_ALLOW_SELF_LABELING: bool = False # allow users to label their own messages DEBUG_SKIP_EMBEDDING_COMPUTATION: bool = False HUGGING_FACE_API_KEY: str = "" @validator("DATABASE_URI", pre=True) def assemble_db_connection(cls, v: Optional[str], values: Dict[str, Any]) -> Any: if isinstance(v, str): return v return PostgresDsn.build( scheme="postgresql", user=values.get("POSTGRES_USER"), password=values.get("POSTGRES_PASSWORD"), host=values.get("POSTGRES_HOST"), port=values.get("POSTGRES_PORT"), path=f"/{values.get('POSTGRES_DB') or ''}", ) BACKEND_CORS_ORIGINS: List[AnyHttpUrl] = [] UPDATE_ALEMBIC: bool = True @validator("BACKEND_CORS_ORIGINS", pre=True) def assemble_cors_origins(cls, v: Union[str, List[str]]) -> Union[List[str], str]: if isinstance(v, str) and not v.startswith("["): return [i.strip() for i in v.split(",")] elif isinstance(v, (list, str)): return v raise ValueError(v) tree_manager: Optional[TreeManagerConfiguration] = TreeManagerConfiguration() class Config: env_file = ".env" env_file_encoding = "utf-8" case_sensitive = False env_nested_delimiter = "__" settings = Settings()