ElebobaandClaude Opus 5.5
6dda5f9b30
CI / ruff · pytest (pull_request) Successful in 2m10s
Free-text treatment and medication questions go to an LLM agent with read-only tools bound to the current patient: guideline search (RAG, doses stripped), ЕМИАС record mock (diagnoses, comorbidities, intolerances, other specialists' drugs, current prescription), drug info (composition, contraindications, interactions) and a deterministic patient-specific check. Providers: OpenRouter (temporary, synthetic data only) and an offline mock; GigaChat to follow. Scrubbed input only, forbidden-output filter, any failure falls back to the existing extractive RAG / instruction answers. Off unless OPENROUTER_API_KEY or CHAT_AGENT=mock. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
57 lines
2.4 KiB
Python
57 lines
2.4 KiB
Python
"""Typed application settings. The only place that reads environment variables."""
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from functools import lru_cache
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from pathlib import Path
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from typing import Literal
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from pydantic import Field
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from pydantic_settings import BaseSettings, SettingsConfigDict
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ROOT_DIR = Path(__file__).resolve().parent.parent
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class Settings(BaseSettings):
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# Empty values in .env (e.g. `TG_BOT_TOKEN=`) fall back to defaults instead of failing validation.
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model_config = SettingsConfigDict(env_file=".env", extra="ignore", env_ignore_empty=True)
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# Two separate databases (ADR-003): identity holds direct identifiers, clinical holds pseudonymised data.
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identity_db_url: str = "postgresql+asyncpg://identity_app:identity_app@localhost:5432/identity"
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clinical_db_url: str = "postgresql+asyncpg://clinical_app:clinical_app@localhost:5432/clinical"
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# HMAC key linking identity and clinical records (hex, 32+ bytes).
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pseudo_key: str = Field(default="dev-only-insecure-key-change-me-0000000000000000", min_length=32)
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# LLM: GigaChat only (152-FZ: no foreign APIs). `mock` is the offline default (ADR-004).
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llm_provider: Literal["mock", "gigachat"] = "mock"
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gigachat_credentials: str = ""
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gigachat_scope: str = "GIGACHAT_API_PERS"
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gigachat_model: str = "GigaChat"
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gigachat_verify_ssl: bool = False
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# Chat agent (tool-using LLM over RAG + patient record). `auto` = OpenRouter if a key is set, else off
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# (extractive RAG / instruction answers stay). OpenRouter is a TEMPORARY prototype provider on synthetic
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# data only — prod must use GigaChat (152-FZ, foreign services are forbidden for real PII).
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chat_agent: Literal["auto", "off", "mock", "openrouter", "gigachat"] = "auto"
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openrouter_api_key: str = ""
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openrouter_model: str = "anthropic/claude-sonnet-4.5"
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openrouter_base_url: str = "https://openrouter.ai/api/v1"
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chat_agent_timeout_s: float = 25.0
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chat_agent_max_steps: int = 5
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# Telegram is used only for the prototype on synthetic data; prod channel is MAX / Gosuslugi.
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tg_bot_token: str = ""
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doctor_notify_chat_id: int | None = None
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# Virtual clock for the demo (ADR-005).
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demo_clock: bool = True
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tz: str = "Europe/Moscow"
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api_base_url: str = "http://localhost:8000"
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config_dir: Path = ROOT_DIR / "config"
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data_dir: Path = ROOT_DIR / "data"
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@lru_cache
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def get_settings() -> Settings:
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return Settings()
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