fix(bot): chat agent — ГРЛС excerpts in drug check, questions with alcohol answered, retry, clearer logs
CI / ruff · pytest (pull_request) Successful in 2m13s

Live run through the API (Andrey, real OpenRouter): onset questions now answered from the instruction
excerpt, «можно пиво?» reaches the agent although the check-in records alcohol, quit intent keeps the single
rule reaction, findings are mentioned only for intake/combination questions, one retry on a provider error,
provider error message logged.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
This commit is contained in:
2026-10-04 15:20:18 +03:00
co-authored by Claude Opus 5.5
parent 37f119610d
commit 83ad5d8b33
5 changed files with 44 additions and 3 deletions
+19
View File
@@ -10,6 +10,7 @@ import re
from dataclasses import dataclass, field
from typing import Any
from app.integrations.base import integrations
from app.integrations.emias_record import PatientRecord, emias_records
from app.llm.agent.drug_safety import check_patient, find_drug, load_db
from app.llm.rag import retrieve
@@ -183,10 +184,12 @@ async def _check(ctx: ToolContext, name: str) -> dict[str, Any]:
if hit
else "в примере состава этого вещества нет; состав зависит от производителя."
)
instruction = await _instruction(ctx, entry.inn)
return {
"found": True,
"inn": entry.inn,
"record": True,
"instruction": instruction, # ГРЛС excerpts: onset, side effects, discontinuation, administration
"findings": [f.model_dump() for f in findings],
"intolerance_check": intolerance_check,
"composition": comp.model_dump(exclude={"excipient_tags"}) if comp else None,
@@ -196,5 +199,21 @@ async def _check(ctx: ToolContext, name: str) -> dict[str, Any]:
}
INSTRUCTION_SECTIONS = ("onset", "side_effects", "discontinuation", "administration", "alcohol")
async def _instruction(ctx: ToolContext, inn: str) -> dict[str, str]:
"""ГРЛС excerpts for the drug (no doses in mg — see data/meds/grls)."""
try:
sections = await integrations.drug_info.sections(inn)
except Exception as exc: # noqa: BLE001
log.error("drug_info unavailable: %s", type(exc).__name__)
return {}
out = {s.section: s.text for s in sections if s.section in INSTRUCTION_SECTIONS}
if out:
ctx.cite(sections[0].source.split(",")[0] + ": инструкция к препарату")
return out
def _json(data: Any) -> str:
return json.dumps(data, ensure_ascii=False)