k-skill/scripts/srt_booking.py
Jeffrey (Dongkyu) Kim 66f12cb43d
dev → main: srt-booking 좌석 탐색, korean-humanizer 신규 스킬, toss-securities 공식 OpenAPI 클라이언트, korean-law k-skill-proxy 편입 (#314)
* feat(srt-booking): SRT 좌석 확인과 탐색 우선순위 개선 (#305)

* feat(srt): 좌석 조회와 탐색 우선순위 추가

SRT search 결과의 stable train_id로 객차별 좌석을 조회하고, 특정 호차/좌석 확인과 탐색 우선순위 옵션을 제공한다.

Constraint: SRT와 KTX는 별도 upstream 표면이므로 SRT HTML 파서와 테스트를 분리함
Rejected: KTX 좌석 helper 공유 | Korail API와 SRT 웹 좌석선택 HTML 계약이 달라 혼용하면 파서 안정성이 낮아짐
Confidence: medium
Scope-risk: moderate
Directive: SRT 좌석선택 HTML에서 노출되지 않는 속성은 추정하지 말고 명시적으로 처리할 것
Tested: PYTHONPATH=.:scripts python3 -m unittest scripts.test_srt_booking scripts.test_ktx_booking; python3 -m py_compile scripts/srt_booking.py scripts/srt_seats.py scripts/test_srt_booking.py
Not-tested: 실제 예약 API에 우선순위 좌석 선택을 연결하는 흐름

* fix(srt): 좌석 조회 JSON 출력 안정화

SRT 대기열 메시지가 stdout에 섞여 seats JSON을 깨는 실제 표면 문제를 막고, 누락된 좌석 방향/위치 속성을 unknown으로 정규화한다.

Constraint: issue #303 범위는 예약 부작용이 없는 좌석 조회 보조 흐름으로 제한됨
Rejected: 실제 예약 subcommand 추가 | 좌석 선점/예약은 외부 부작용이라 이번 acceptance criteria에 포함되지 않음
Confidence: high
Scope-risk: narrow
Directive: SRTrain upstream 출력이 추가되더라도 helper stdout은 JSON 전용으로 유지할 것
Tested: RED→GREEN in .omo/ulw-loop/evidence/srt-c002-red-green-tests.txt; live SRT tmux QA in .omo/ulw-loop/evidence/srt-c001-live-search-seats.txt; npm run ci in .omo/ulw-loop/evidence/srt-c003-regression-ci.txt
Not-tested: 실제 예약/결제/취소 부작용 흐름

* test(srt): split seat helper regression coverage

---------

Co-authored-by: Jeffrey (Dongkyu) Kim <vkehfdl1@gmail.com>

* feat: add korean-humanizer skill

AI가 쓴 티가 나는 한국어 글을 자연스러운 사람 글로 고치는 프롬프트 기반 스킬.
blader/humanizer의 구조·방법론(패턴 카탈로그 + draft→audit→final 루프 +
false positive 가이드)을 한국어에 맞게 재구성했다.

- 한국어 특화 33개 패턴: 번역체(직역 조사·무생물 주어·"~들"·"가지다"·이중피동·
  명사화), AI 상투어, 3의 법칙, 과장된 의의 부여, 마무리 상투구, 챗봇 잔재,
  줄표·가운뎃점·곡선따옴표 등
- Triage(최소 개입) 원칙: 서식만 문제면 산문은 그대로 두어 과교정 방지
- Length control: 목표 글자수 지정 시 ±5% 내로 맞추고 공백 포함/제외 수치 보고,
  korean-character-count 스킬과 연동

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* feat(korean-humanizer): rebuild v2 on im-not-ai framework

Build on happy-nut's PR #311 korean-humanizer skill (cherry-picked,
authorship preserved) by re-centering it on the epoko77-ai/im-not-ai
(Humanize KR, MIT) methodology:

- 4대 철칙 (의미 불변 · 근거 기반 · 장르 유지 · 과윤문 금지 30%/50% 가드)
- S1/S2/S3 severity tiers and A~D quality grades
- A~J taxonomy with Korean-specific patterns (A-16 그/그녀 강박,
  A-18 관계절 좌향 수식, A-19 이중 조사, C-11 연결어미 뒤 쉼표, E-7 경어법)
- detect -> rewrite -> audit -> grade loop with self-check checklist
- references/ai-tell-taxonomy.md full A~J table
- docs/features/korean-humanizer.md crediting im-not-ai and happy-nut
- README row + link, regenerated plugin.json, docs regression test

Co-authored-by: happy-nut <happynut.dev@gmail.com>

* docs(korean-law-search): document official precedent API evidence (#313)

Enhance the existing korean-law-search skill and feature doc with the
official 법제처 Open API precedent endpoints and detail retrieval, without
adding a new skill, package, workspace, or changeset.

- Document 판례 목록 조회 (lawSearch.do?target=prec) and 판례 본문 조회
  (lawService.do?target=prec&ID=...) as official evidence behind the
  korean-law-mcp search_precedents/get_precedent_text path.
- Add supported precedent filters (query, court, case number, source
  name, date, sort) and precedent-specific failure modes (missing LAW_OC,
  upstream unavailable/rate-limit/timeout, empty results, body
  unavailable for some sources) plus the legal-advice boundary.
- Keep korean-law-mcp first and Beopmang as the only post-failure
  fallback; lawService.do?target=prec is official detail retrieval, not a
  Beopmang-style fallback.
- Extend the skill-docs regression test with stable endpoint/tool
  literals and concept-level filter/failure-mode/legal-boundary checks.

Closes #308

* feat(toss-securities): add official read-only OpenAPI client (#312)

Add an official Toss Securities Open API client alongside the existing
unofficial tossctl wrapper. The package ships read-only helpers backed by
the official REST API (https://openapi.tossinvest.com): OAuth2
client_credentials token issuance with an in-memory token cache, bearer +
X-Tossinvest-Account header handling, TossApiError/TossCredentialsError
with secret/token redaction, and 429 Retry-After/backoff retry.

Credentials are read from TOSSINVEST_CLIENT_ID/TOSSINVEST_CLIENT_SECRET
(optional TOSSINVEST_ACCOUNT/TOSSINVEST_API_BASE_URL) and sent directly to
Toss, never through a shared proxy. Order mutation remains out of scope;
the tossctl path is retained as a documented fallback.

Closes #306

* Revert "docs(korean-law-search): document official precedent API evidence (#313)"

This reverts commit 5faec8bb2a.

* feat(k-skill-proxy): fold Korean law lookups into k-skill-proxy, drop Beopmang (#315)

Add hosted korean-law proxy routes and make the korean-law-search skill
proxy-first, removing the unstable Beopmang fallback from the support list.

- proxy: new src/korean-law.js wrapping official 법제처 DRF lawSearch.do /
  lawService.do, injecting LAW_OC + browser User-Agent/Referer (the real
  cause of "사용자 정보 검증 실패") and retrying empty/HTML responses.
- proxy: /v1/korean-law/search and /v1/korean-law/detail routes + lawOc
  config + koreanLawConfigured health flag; 17 module + 6 route tests.
- skill/docs: korean-law-search becomes proxy-first (no per-user LAW_OC,
  no local CLI). Drop Beopmang everywhere; credit chrisryugj/korean-law-mcp
  as design reference and 법제처 open.law.go.kr as official source.
- ops: LAW_OC added to deploy doc KEYS, secret accessor loop, and the
  Cloud Run deploy workflow set-secrets.
- changeset: k-skill-proxy minor.

---------

Co-authored-by: iamiks <rmstjr1030@naver.com>
Co-authored-by: happy-nut <happynut.dev@gmail.com>
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-12 19:06:18 +09:00

272 lines
10 KiB
Python

#!/usr/bin/env python3
from __future__ import annotations
import argparse
import base64
import contextlib
import io
import importlib
import json
import os
import sys
from types import ModuleType
from typing import Protocol
from srt_seats import parse_cars, parse_seats, sort_cars_for_booking, sort_seats_for_booking
SRT_SEAT_ENDPOINT = "https://etk.srail.kr/hpg/hra/01/selectPassengerResearchList.do"
TRAIN_ID_PREFIX = "srt:v1:"
TRAIN_ID_FIELDS = (
"train_number",
"dep_date",
"dep_time",
"arr_date",
"arr_time",
"train_code",
"dep_station_code",
"arr_station_code",
"dep_station_run_order",
"arr_station_run_order",
)
ROOM_CODE = {"general": "1", "special": "2"}
ROOM_NAME = {"general": "일반실", "special": "특실"}
class SrtTrainLike(Protocol):
train_number: str
dep_date: str
dep_time: str
arr_date: str
arr_time: str
train_code: str
train_name: str
dep_station_code: str
dep_station_name: str
arr_station_code: str
arr_station_name: str
dep_station_run_order: str
arr_station_run_order: str
general_seat_state: str
special_seat_state: str
reserve_wait_possible_code: str
def general_seat_available(self) -> bool: ...
def special_seat_available(self) -> bool: ...
def reserve_standby_available(self) -> bool: ...
class ResponseLike(Protocol):
text: str
class SessionLike(Protocol):
def get(self, url: str, params: dict[str, str]) -> ResponseLike: ...
class SrtClientLike(Protocol):
_session: SessionLike
def search_train(
self,
dep: str,
arr: str,
date: str,
time: str,
time_limit: str | None = None,
available_only: bool = True,
) -> list[SrtTrainLike]: ...
def load_srt_module() -> ModuleType:
try:
return importlib.import_module("SRT")
except ModuleNotFoundError as exc:
raise SystemExit("scripts/srt_booking.py requires SRTrain: python3 -m pip install SRTrain")
def build_client(auto_login: bool = False) -> SrtClientLike:
srt_module = load_srt_module()
srt_id = os.environ.get("KSKILL_SRT_ID", "")
srt_pw = os.environ.get("KSKILL_SRT_PASSWORD", "")
return srt_module.SRT(srt_id, srt_pw, auto_login=auto_login)
def train_id_payload(train: SrtTrainLike) -> dict[str, str]:
return {field: getattr(train, field) for field in TRAIN_ID_FIELDS}
def build_train_id(train: SrtTrainLike) -> str:
raw = json.dumps(train_id_payload(train), ensure_ascii=False, separators=(",", ":")).encode()
encoded = base64.urlsafe_b64encode(raw).decode("ascii").rstrip("=")
return f"{TRAIN_ID_PREFIX}{encoded}"
def parse_train_id(train_id: str) -> dict[str, str]:
if not train_id.startswith(TRAIN_ID_PREFIX):
raise SystemExit("train_id must start with srt:v1:")
encoded = train_id.removeprefix(TRAIN_ID_PREFIX)
padded = encoded + ("=" * ((4 - len(encoded) % 4) % 4))
try:
payload = json.loads(base64.urlsafe_b64decode(padded.encode()).decode())
except (ValueError, json.JSONDecodeError, UnicodeDecodeError) as exc:
raise SystemExit("train_id is invalid; rerun search and copy a fresh train_id") from exc
if not isinstance(payload, dict):
raise SystemExit("train_id is invalid; rerun search and copy a fresh train_id")
if any(not isinstance(payload.get(field), str) or not payload[field] for field in TRAIN_ID_FIELDS):
raise SystemExit("train_id is invalid; rerun search and copy a fresh train_id")
return {field: payload[field] for field in TRAIN_ID_FIELDS}
def find_train_by_id(trains: list[SrtTrainLike], train_id: str) -> SrtTrainLike | None:
expected = parse_train_id(train_id)
return next((train for train in trains if train_id_payload(train) == expected), None)
def normalize_train(train: SrtTrainLike, index: int) -> dict[str, str | bool | int]:
return {
"index": index,
"train_id": build_train_id(train),
"train_no": train.train_number,
"train_type": train.train_name,
"dep_name": train.dep_station_name,
"dep_date": train.dep_date,
"dep_time": train.dep_time,
"arr_name": train.arr_station_name,
"arr_date": train.arr_date,
"arr_time": train.arr_time,
"has_general_seat": train.general_seat_available(),
"has_special_seat": train.special_seat_available(),
"has_waiting_list": train.reserve_standby_available(),
}
def seat_page_params(train: SrtTrainLike, room: str, car_no: int | None) -> dict[str, str]:
return {
"runDt1": train.dep_date,
"dptDt1": train.dep_date,
"dptTm1": train.dep_time,
"trnNo1": f"{int(train.train_number):05d}",
"trnGpCd1": "300",
"dptRsStnCd1": train.dep_station_code,
"arvRsStnCd1": train.arr_station_code,
"dptStnRunOrdr1": train.dep_station_run_order,
"arvStnRunOrdr1": train.arr_station_run_order,
"seatAttCd1": "015",
"psrmClCd1": ROOM_CODE[room],
"index1": "0",
"scarNo1": "" if car_no is None else f"{car_no:04d}",
"chtnDvCd": "1",
"jrnySqno": "001",
"mode": "1",
"psgNum": "1",
"pageId": "",
}
def fetch_seat_page(client: SrtClientLike, train: SrtTrainLike, room: str, car_no: int | None) -> str:
with contextlib.redirect_stdout(io.StringIO()):
response = client._session.get(SRT_SEAT_ENDPOINT, params=seat_page_params(train, room, car_no))
return response.text
def command_search(args: argparse.Namespace) -> None:
client = build_client(auto_login=False)
with contextlib.redirect_stdout(io.StringIO()):
trains = client.search_train(args.dep, args.arr, args.date, args.time, args.time_limit, args.available_only)
print_json({"count": len(trains[: args.limit]), "trains": [normalize_train(train, index) for index, train in enumerate(trains[: args.limit], 1)]})
def command_seats(args: argparse.Namespace) -> None:
client = build_client(auto_login=False)
with contextlib.redirect_stdout(io.StringIO()):
trains = client.search_train(args.dep, args.arr, args.date, args.time, args.time_limit, available_only=False)
train = find_train_by_id(trains, args.train_id)
if train is None:
raise SystemExit("train_id no longer matches any current search result; rerun search and choose a fresh train_id")
initial_html = fetch_seat_page(client, train, args.room, args.car_no)
cars = [car for car in parse_cars(initial_html) if car["room_class"] == ROOM_NAME[args.room]]
if args.car_no is not None:
cars = [car for car in cars if car["car_no"] == args.car_no]
else:
cars = [car for car in cars if car["available"]]
if not cars:
raise SystemExit(f"seat car data is unavailable for {args.room}; retry search or choose another train")
car_payloads: list[dict[str, object]] = []
for car in sort_cars_for_booking(cars, args.car_priority):
html = initial_html if args.car_no == car["car_no"] else fetch_seat_page(client, train, args.room, car["car_no"])
seats = parse_seats(html)
if args.seat:
seats = [seat for seat in seats if seat["seat"] == args.seat]
seats = sort_seats_for_booking(seats, args.seat_priority)
if args.available_only:
seats = [seat for seat in seats if seat["available"]]
available_seats = [seat for seat in seats if seat["available"]]
limited = seats[: args.limit]
payload = dict(car)
payload["available_seat_count"] = len(available_seats)
payload["available_seats"] = [seat["seat"] for seat in available_seats]
payload["shown_seat_count"] = len(limited)
payload["seats"] = limited
if args.seat:
payload["requested_seat"] = args.seat
payload["requested_seat_available"] = any(seat["available"] for seat in seats)
car_payloads.append(payload)
print_json({
"train": normalize_train(train, 1),
"room": args.room,
"available_only": args.available_only,
"car_priority": args.car_priority,
"seat_priority": args.seat_priority,
"cars": car_payloads,
})
def print_json(payload: dict[str, object]) -> None:
print(json.dumps(payload, ensure_ascii=False, indent=2))
def build_parser() -> argparse.ArgumentParser:
parser = argparse.ArgumentParser(description="SRT search and seat lookup helper for k-skill")
subparsers = parser.add_subparsers(dest="command", required=True)
search = subparsers.add_parser("search", help="SRT 열차를 조회합니다")
add_trip_args(search)
search.add_argument("--time-limit", default=None, help="조회 종료 시각 HHMMSS")
search.add_argument("--available-only", action="store_true", default=False, help="예약 가능한 열차만 출력")
search.add_argument("--limit", type=int, default=5, help="출력할 최대 열차 수")
search.set_defaults(func=command_search)
seats = subparsers.add_parser("seats", help="SRT 호차별 좌석번호를 조회합니다")
add_trip_args(seats)
seats.add_argument("--train-id", required=True, help="search 결과에서 복사한 stable train_id")
seats.add_argument("--time-limit", default=None, help="조회 종료 시각 HHMMSS")
seats.add_argument("--room", choices=sorted(ROOM_CODE), default="general")
seats.add_argument("--car-no", type=int, default=None, help="특정 호차만 조회")
seats.add_argument("--seat", default=None, help="특정 좌석번호만 조회, 예: 6C")
seats.add_argument("--available-only", action="store_true", help="빈 좌석만 출력")
seats.add_argument("--car-priority", choices=("center", "low", "high"), default="center")
seats.add_argument("--seat-priority", choices=("forward-window", "window-forward", "row-low"), default="forward-window")
seats.add_argument("--limit", type=int, default=100, help="호차별 출력할 최대 좌석 수")
seats.set_defaults(func=command_seats)
return parser
def add_trip_args(parser: argparse.ArgumentParser) -> None:
parser.add_argument("dep", help="출발역")
parser.add_argument("arr", help="도착역")
parser.add_argument("date", help="출발일 YYYYMMDD")
parser.add_argument("time", help="희망 시작 시각 HHMMSS")
def main(argv: list[str] | None = None) -> int:
args = build_parser().parse_args(argv)
args.func(args)
return 0
if __name__ == "__main__":
raise SystemExit(main(sys.argv[1:]))