import datetime as dt from app.screener.telegram import build_telegram_payload def test_build_payload_includes_top10_and_link(): rows = [ { "rank": i, "ticker": f"00{i:04}", "name": f"종목{i}", "total_score": 90 - i, "scores": {"foreign_buy": 80 + i, "volume_surge": 60, "momentum": 70, "high52w": 75, "rs_rating": 85, "ma_alignment": 80, "vcp_lite": 30}, "close": 50000, "entry_price": 50250, "stop_price": 48500, "target_price": 53750, "r_pct": 3.5, } for i in range(1, 21) ] p = build_telegram_payload( asof=dt.date(2026, 5, 12), mode="auto", survivors_count=612, top_n=20, rows=rows, run_id=42, ) assert p["parse_mode"] == "MarkdownV2" text = p["text"] assert "2026" in text and "05" in text and "12" in text assert "종목1" in text assert "종목10" in text assert "종목11" not in text # 본문 1-10만 assert "42" in text # run_id 링크 def test_score_threshold_filters_node_labels(): rows = [{ "rank": 1, "ticker": "A", "name": "A주", "total_score": 80, "scores": {"foreign_buy": 90, "volume_surge": 50, "momentum": 70, "high52w": 30, "rs_rating": 80, "ma_alignment": 80, "vcp_lite": 60}, "close": 50000, "entry_price": 50250, "stop_price": 48500, "target_price": 53750, "r_pct": 3.5, }] p = build_telegram_payload(dt.date(2026, 5, 12), "auto", 100, 1, rows, run_id=1) text = p["text"] # ≥70 노드만 풀 라벨로 표시 (foreign_buy=90, momentum=70, rs_rating=80, ma_alignment=80) assert "외국인 90" in text assert "20일모멘텀 70" in text assert "RS레이팅 80" in text assert "이평선정배열 80" in text # <70 노드는 숨김 (volume_surge=50, high52w=30, vcp_lite=60) assert "거래량급증" not in text assert "52주신고가" not in text assert "VCP수축" not in text def test_prices_have_won_suffix(): rows = [{ "rank": 1, "ticker": "A", "name": "A주", "total_score": 80, "scores": {"foreign_buy": 80}, "close": 50000, "entry_price": 50250, "stop_price": 48500, "target_price": 53750, "r_pct": 3.5, }] p = build_telegram_payload(dt.date(2026, 5, 12), "auto", 100, 1, rows, run_id=1) text = p["text"] assert "50,250원" in text assert "48,500원" in text assert "53,750원" in text