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>
95 lines
3.1 KiB
Python
95 lines
3.1 KiB
Python
"""ЕМИАС medical record mock: diagnoses, comorbidities, allergies and other specialists' prescriptions.
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Prod: the regional МИС / ЕГИСЗ adapter replaces `EmiasRecordSource` (same `get(token)` contract). Demo: synthetic
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records from `data/emias/records.yaml` keyed by synthetic SNILS, converted to tokens with `pseudo_id()` at load
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time — so the record handed to the chat agent carries no SNILS, name or phone (guardrail #1). The current
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psychiatric prescription comes from the МИС mock (`integrations.prescriptions`).
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"""
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import logging
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from functools import lru_cache
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from pathlib import Path
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import yaml
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from pydantic import BaseModel, Field
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from app.config import get_settings
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from app.core.privacy import pseudo_id
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from app.integrations.base import integrations
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log = logging.getLogger(__name__)
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class Diagnosis(BaseModel):
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code: str
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name: str
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class Condition(BaseModel):
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name: str
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tags: list[str] = Field(default_factory=list)
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class OtherMedication(BaseModel):
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drug: str
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how: str = ""
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prescribed_by: str = ""
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classes: list[str] = Field(default_factory=list)
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class CurrentPrescription(BaseModel):
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drug: str
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dose: str
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instructions: str = ""
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class PatientRecord(BaseModel):
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"""Clinical-only view of the record (no identifiers): what the chat agent may see."""
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diagnoses: list[Diagnosis] = Field(default_factory=list)
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conditions: list[Condition] = Field(default_factory=list)
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allergies: list[Condition] = Field(default_factory=list)
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other_medications: list[OtherMedication] = Field(default_factory=list)
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pregnancy: dict[str, str] | None = None
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current_prescriptions: list[CurrentPrescription] = Field(default_factory=list)
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def default_records_path() -> Path:
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return get_settings().data_dir / "emias" / "records.yaml"
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@lru_cache
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def _load(path: Path) -> dict[str, PatientRecord]:
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raw = yaml.safe_load(path.read_text(encoding="utf-8")) or {}
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out: dict[str, PatientRecord] = {}
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for snils, rec in (raw.get("records") or {}).items():
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out[pseudo_id(snils)] = PatientRecord.model_validate(rec)
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return out
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class EmiasRecordSource:
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def __init__(self, path: Path | None = None) -> None:
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self._path = path
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async def get(self, token: str) -> PatientRecord | None:
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try:
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base = _load(self._path or default_records_path()).get(token)
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except (OSError, yaml.YAMLError, ValueError) as exc:
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log.error("emias records unavailable: %s", type(exc).__name__)
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base = None
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record = base.model_copy(deep=True) if base is not None else PatientRecord()
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try:
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rx = await integrations.prescriptions.get_prescriptions(token)
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except Exception as exc: # noqa: BLE001 — the МИС being down must not break the chat
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log.error("prescriptions unavailable: %s", type(exc).__name__)
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rx = []
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record.current_prescriptions = [
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CurrentPrescription(drug=p.drug, dose=p.dose, instructions=p.instructions) for p in rx
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]
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if base is None and not rx:
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return None
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return record
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emias_records = EmiasRecordSource()
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