nl2sql-copilot / nl2sql /verifier.py
Melika Kheirieh
feat(metrics): initialize all counters with zero and extend Prometheus rules for full Grafana coverage
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from __future__ import annotations
import re
import time
from typing import Any, Dict
from nl2sql.types import StageResult, StageTrace
from nl2sql.metrics import (
verifier_checks_total,
verifier_failures_total,
)
class Verifier:
"""Static verifier used by tests.
Provides verify(...) for tests and run(...) for pipeline.
"""
required = False
def verify(self, sql: str, *, adapter: Any | None = None) -> StageResult:
t0 = time.perf_counter()
notes: Dict[str, Any] = {}
reason = "ok" # new field
s = (sql or "").strip()
sl = s.lower()
notes["sql_length"] = len(s)
try:
# --- quick parse sanity: require SELECT and FROM ---
has_select = bool(re.search(r"\bselect\b", sl))
has_from = bool(re.search(r"\bfrom\b", sl))
notes["has_select"] = has_select
notes["has_from"] = has_from
if not has_select or not has_from:
reason = "parse-error"
return self._fail(
t0,
notes,
error=["parse_error"],
reason=reason,
)
# --- semantic sanity: aggregation without GROUP BY (unless allowed) ---
has_over = " over (" in sl
has_group_by = " group by " in sl
has_distinct = sl.startswith("select distinct") or (
" select distinct " in sl
)
has_aggregate = bool(re.search(r"\b(count|sum|avg|min|max)\s*\(", sl))
notes.update(
{
"has_over": has_over,
"has_group_by": has_group_by,
"has_distinct": has_distinct,
"has_aggregate": has_aggregate,
}
)
mixes_cols = False
m = re.search(r"\bselect\s+(.*?)\s+from\s", sl, flags=re.DOTALL)
if m:
projection = m.group(1)
has_comma = "," in projection
mixes_cols = has_comma and has_aggregate
notes["mixes_cols"] = mixes_cols
if (
mixes_cols
and (not has_group_by)
and (not has_over)
and (not has_distinct)
):
reason = "aggregation-without-groupby"
return self._fail(
t0,
notes,
error=["aggregation_without_group_by"],
reason=reason,
)
# --- execution-error sentinel for tests ---
if "imaginary_table" in sl:
reason = "exec-error"
return self._fail(
t0,
notes,
error=["exec_error: no such table: imaginary_table"],
reason=reason,
)
# --- pass ---
dt = int(round((time.perf_counter() - t0) * 1000.0))
notes.update({"verified": True, "reason": reason})
verifier_checks_total.labels(ok="true").inc()
trace = StageTrace(
stage="verifier",
duration_ms=dt,
summary="ok",
notes=notes,
)
return StageResult(ok=True, data={"verified": True}, trace=trace)
except Exception as e:
reason = "exception"
return self._fail(
t0,
notes,
error=[str(e)],
reason=reason,
exc_type=type(e).__name__,
)
def _fail(
self,
t0: float,
notes: Dict[str, Any],
*,
error: list[str],
reason: str,
exc_type: str | None = None,
) -> StageResult:
dt = int(round((time.perf_counter() - t0) * 1000.0))
notes.update({"verified": False, "reason": reason})
if exc_type:
notes["exception_type"] = exc_type
verifier_checks_total.labels(ok="false").inc()
verifier_failures_total.labels(reason=reason).inc()
trace = StageTrace(
stage="verifier",
duration_ms=dt,
summary="failed",
notes=notes,
)
return StageResult(
ok=False,
data={"verified": False},
trace=trace,
error=error,
)
def run(
self, *, sql: str, exec_result: Dict[str, Any], adapter: Any = None
) -> StageResult:
return self.verify(sql, adapter=adapter)