gahusb
535ffea45a
P0 버그 수정: - stock-lab: trade 엔드포인트 NameError 수정 (resp 미정의) - deployer: 동시 배포 시 HTTP 200 → 503 반환 P1 데드코드 제거: - stock-lab: fetch_overseas_news(), get_broker_cash() 제거 - blog-lab: 미사용 urlparse import 제거 - lotto-lab: 중복 inline import json 7곳 제거 P2 성능/효율 개선: - lotto-lab: 가중 샘플링 3중 복사 → utils.weighted_sample_6() 통합 - lotto-lab: DB 인덱스 3개 추가 (recommendations, purchase_history) - stock-lab: Pydantic .dict() → .model_dump() 호환 - blog-lab: 페이지네이션 상한(le=100) 추가 P3 보안/인프라: - nginx: X-Frame-Options, X-Content-Type-Options, Referrer-Policy 헤더 추가 - docker-compose: travel-proxy CORS 와일드카드 → localhost 전용 - Dockerfile: music-lab, blog-lab, realestate-lab에 PYTHONUNBUFFERED 추가 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
81 lines
2.0 KiB
Python
81 lines
2.0 KiB
Python
import random
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from typing import List, Dict, Any, Tuple
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def weighted_sample_6(weights: Dict[int, float]) -> List[int]:
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"""
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가중 확률 샘플링으로 중복 없이 6개 번호 추출.
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weights: {1: w1, 2: w2, ..., 45: w45}
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"""
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pool = list(range(1, 46))
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chosen: List[int] = []
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for _ in range(6):
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total = sum(weights[n] for n in pool)
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r = random.random() * total
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acc = 0.0
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for n in pool:
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acc += weights[n]
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if acc >= r:
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chosen.append(n)
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pool.remove(n)
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break
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return chosen
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def calc_metrics(numbers: List[int]) -> Dict[str, Any]:
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nums = sorted(numbers)
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s = sum(nums)
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odd = sum(1 for x in nums if x % 2 == 1)
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even = len(nums) - odd
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mn, mx = nums[0], nums[-1]
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rng = mx - mn
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# 1-10, 11-20, 21-30, 31-40, 41-45
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buckets = {
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"1-10": 0,
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"11-20": 0,
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"21-30": 0,
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"31-40": 0,
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"41-45": 0,
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}
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for x in nums:
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if 1 <= x <= 10:
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buckets["1-10"] += 1
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elif 11 <= x <= 20:
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buckets["11-20"] += 1
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elif 21 <= x <= 30:
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buckets["21-30"] += 1
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elif 31 <= x <= 40:
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buckets["31-40"] += 1
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else:
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buckets["41-45"] += 1
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return {
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"sum": s,
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"odd": odd,
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"even": even,
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"min": mn,
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"max": mx,
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"range": rng,
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"buckets": buckets,
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}
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def calc_recent_overlap(numbers: List[int], draws: List[Tuple[int, List[int]]], last_k: int) -> Dict[str, Any]:
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"""
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draws: [(drw_no, [n1..n6]), ...] 오름차순
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last_k: 최근 k회 기준 중복
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"""
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if last_k <= 0:
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return {"last_k": 0, "repeats": 0, "repeated_numbers": []}
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recent = draws[-last_k:] if len(draws) >= last_k else draws
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recent_set = set()
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for _, nums in recent:
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recent_set.update(nums)
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repeated = sorted(set(numbers) & recent_set)
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return {
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"last_k": len(recent),
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"repeats": len(repeated),
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"repeated_numbers": repeated,
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}
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