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a72d1cf | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 | """Yürütme doğruluğu (execution accuracy, EX) tabanlı değerlendirme.
EX: sistemin SQL'i kendi (çıkarımla oluşturulmuş) veritabanında çalıştırıldığında dönen sonuç
kümesi, altın SQL'in referans veritabanındaki sonucuyla eşleşiyorsa 1.
- Satır sırası önemsiz (çoklu küme karşılaştırması)
- Sayılar: |a-b| <= 0,01 + 0,001·|b| (yuvarlama farklarına tolerans)
- Metinler: Türkçe katlanmış karşılaştırma (İ/ı, büyük/küçük harf)
- Sistem fazladan sütun döndürürse, altın sütunlarla eşleşen bir sütun alt kümesi aranır
Cevapsız sorularda (altın SQL yok) sistem cevap vermeyi reddederse doğru sayılır;
cevaplanabilir sorularda reddetmek yanlıştır.
"""
from __future__ import annotations
import itertools
import json
import time
from collections import Counter, defaultdict
from dataclasses import dataclass
from pathlib import Path
from .agent import Text2SQLAgent
from .errors import ErrorLog, diagnose_failure
from .schema import connect
from .trnum import fold
ROOT = Path(__file__).resolve().parent.parent
BENCH = ROOT / "benchmark" / "tr_tablosoru.json"
def load_benchmark(path=BENCH) -> list[dict]:
return json.loads(Path(path).read_text(encoding="utf-8"))["sorular"]
def _val_eq(a, b) -> bool:
if a is None or b is None:
return a is None and b is None
na = isinstance(a, (int, float)) and not isinstance(a, bool)
nb = isinstance(b, (int, float)) and not isinstance(b, bool)
if na and nb:
return abs(a - b) <= 0.01 + 1e-3 * abs(b)
if na != nb:
return False
return fold(str(a)) == fold(str(b))
def _sort_key(row):
return tuple((0, round(v, 1)) if isinstance(v, (int, float)) and not isinstance(v, bool)
else (1, fold(str(v))) for v in row)
def _rows_eq(p, g) -> bool:
if len(p) != len(g):
return False
ps, gs = sorted(p, key=_sort_key), sorted(g, key=_sort_key)
if all(all(_val_eq(x, y) for x, y in zip(rp, rg)) for rp, rg in zip(ps, gs)):
return True
# sıralama anahtarı yuvarlamadan etkilenmiş olabilir: açgözlü eşleştirme
used = [False] * len(gs)
for rp in p:
for k, rg in enumerate(gs):
if not used[k] and all(_val_eq(x, y) for x, y in zip(rp, rg)):
used[k] = True
break
else:
return False
return True
def results_match(pred: list[tuple], gold: list[tuple]) -> bool:
if pred is None:
return False
if not gold:
return not pred
gw = len(gold[0])
if not pred:
return False
pw = len(pred[0])
if pw == gw and _rows_eq(pred, gold):
return True
if pw > gw and pw <= 6:
for idx in itertools.permutations(range(pw), gw):
if _rows_eq([tuple(r[i] for i in idx) for r in pred], gold):
return True
if pw == gw and gw > 1:
for idx in itertools.permutations(range(pw)):
if _rows_eq([tuple(r[i] for i in idx) for r in pred], gold):
return True
return False
@dataclass
class SystemSpec:
name: str
backend: object # "kural" | LLMBackend
db_mode: str = "tr" # tr | en | text
self_correct: bool = True
use_evidence: bool = True
max_attempts: int = 3
static_check: bool = True # statik denetim (ablasyon için kapatılabilir)
def gold_results(items, ref_db) -> dict[str, list]:
con = connect(ref_db, readonly=True)
out = {}
for it in items:
out[it["id"]] = [tuple(r) for r in con.execute(it["altin_sql"]).fetchall()] if it["altin_sql"] else None
con.close()
return out
def evaluate_system(spec: SystemSpec, items, db_paths: dict, ref_db, out_dir: Path,
error_log: ErrorLog | None = None, progress=None) -> dict:
gold = gold_results(items, ref_db)
con = connect(db_paths[spec.db_mode], readonly=True)
agent = Text2SQLAgent(con, spec.backend, max_attempts=spec.max_attempts, self_correct=spec.self_correct,
static_check=spec.static_check,
error_log=error_log, log_source=f"degerlendirme:{spec.name}",
fallback_rule=False) # deneylerde LLM sonucu kural tabanlı cevapla karışmasın
records = []
for k, it in enumerate(items):
t0 = time.time()
res = agent.run(it["soru"], evidence=it.get("kanit") if spec.use_evidence else None)
g = gold[it["id"]]
if not it["cevaplanabilir"]:
ok = res.abstained
first_ok = res.first_sql is None # ilk denemede de reddetti mi
else:
ok = (not res.abstained) and results_match(res.rows, g)
first_ok = res.first_rows is not None and res.first_error is None and results_match(res.first_rows, g)
err = None if ok else diagnose_failure(it, res.sql, res.rows, g or [], res.abstained, res.exec_error,
spec.db_mode)
rec = {"id": it["id"], "bolum": it.get("bolum", "gelistirme"), "soru": it["soru"],
"zorluk": it["zorluk"], "kategoriler": it["kategoriler"], "cevaplanabilir": it["cevaplanabilir"],
"altin_sql": it["altin_sql"], "tahmin_sql": res.sql, "ilk_sql": res.first_sql,
"durum": res.status, "cevap": res.answer, "dogru": ok, "ilk_deneme_dogru": first_ok,
"deneme": res.attempts, "hata_tipi": err,
"calisma_hatalari": [e.tip for e in res.events], "sure": round(time.time() - t0, 3),
"tahmin_sonuc": [list(map(_jsonable, r)) for r in (res.rows or [])[:10]],
"altin_sonuc": [list(map(_jsonable, r)) for r in (g or [])[:10]]}
records.append(rec)
if progress:
progress(k + 1, len(items), rec)
con.close()
out_dir.mkdir(parents=True, exist_ok=True)
(out_dir / f"sonuclar_{spec.name}.jsonl").write_text(
"\n".join(json.dumps(r, ensure_ascii=False) for r in records), encoding="utf-8")
return summarize(spec, records)
def _jsonable(v):
return v if isinstance(v, (int, float, str)) or v is None else str(v)
def _ex(recs):
return round(100.0 * sum(r["dogru"] for r in recs) / len(recs), 1) if recs else None
def summarize(spec: SystemSpec, records: list[dict]) -> dict:
ans = [r for r in records if r["cevaplanabilir"]]
una = [r for r in records if not r["cevaplanabilir"]]
by = lambda key: {k: _ex(v) for k, v in sorted(_group(records, key).items())}
cats = defaultdict(list)
for r in records:
for c in r["kategoriler"]:
cats[c].append(r)
return {
"sistem": spec.name, "arka_uc": spec.backend if isinstance(spec.backend, str) else spec.backend.name,
"sayi_kipi": spec.db_mode, "kendini_duzeltme": spec.self_correct, "kanit": spec.use_evidence,
"n": len(records), "EX": _ex(records), "EX_ilk_deneme": round(100.0 * sum(r["ilk_deneme_dogru"] for r in records) / len(records), 1),
"EX_cevaplanabilir": _ex(ans),
"cevapsiz_dogru_red": _ex(una),
"yanlis_red_orani": round(100.0 * sum(1 for r in ans if r["durum"] != "cevap") / len(ans), 1) if ans else None,
"bolum": by("bolum"), "zorluk": by("zorluk"),
"kategori": {k: _ex(v) for k, v in sorted(cats.items())},
"kategori_n": {k: len(v) for k, v in sorted(cats.items())},
"hata_tipleri": dict(Counter(r["hata_tipi"] for r in records if r["hata_tipi"]).most_common()),
"ort_deneme": round(sum(r["deneme"] for r in records) / len(records), 2),
"ort_sure_sn": round(sum(r["sure"] for r in records) / len(records), 3),
}
def _group(records, key):
g = defaultdict(list)
for r in records:
g[r[key]].append(r)
return g
def gold_on_naive_db(items, db_paths: dict, ref_db) -> list[dict]:
"""Altın SQL'i naif sayı kipleriyle kurulmuş veritabanlarında çalıştırır.
Sorgu doğru olsa bile yalnızca sayı biçimi yüzünden kaç cevabın bozulduğunu ölçer."""
gold = gold_results(items, ref_db)
out = []
for mode, p in db_paths.items():
con = connect(p, readonly=True)
ok = err = 0
broken = []
n = 0
for it in items:
if not it["altin_sql"]:
continue
n += 1
try:
rows = [tuple(r) for r in con.execute(it["altin_sql"]).fetchall()]
if results_match(rows, gold[it["id"]]):
ok += 1
else:
broken.append(it["id"])
except Exception:
err += 1
broken.append(it["id"])
con.close()
out.append({"kip": mode, "n": n, "EX": round(100.0 * ok / n, 1), "yurutme_hatasi": err,
"bozulan": broken})
return out
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