memaudit-code / scripts /validate_human_style_examples.py
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"""Validate human-style OracleMem natural-example JSONL files.
Each input row is expected to be a self-contained example with sessions,
messages, evidence units, query-required evidence IDs, and candidate memories
with per-unit coverage scores. This script performs structural validation only;
it does not judge annotation quality.
"""
from __future__ import annotations
import argparse
import json
import math
import sys
from collections import Counter
from pathlib import Path
from typing import Any
TOP_LEVEL_FIELDS: dict[str, tuple[str, ...]] = {
"id": ("id", "example_id", "instance_id"),
"domain": ("domain",),
"sessions": ("sessions",),
"future_query": ("future_query", "query", "question"),
"required_unit_ids_for_query": ("required_unit_ids_for_query",),
"evidence_units": ("evidence_units",),
"candidate_memories": ("candidate_memories",),
}
FUTURE_QUERY_FIELDS: dict[str, tuple[str, ...]] = {
"text": ("text", "query", "question"),
"answer": ("answer", "gold_answer"),
"should_abstain": ("should_abstain",),
}
SESSION_FIELDS: dict[str, tuple[str, ...]] = {
"session_id": ("session_id", "id"),
"messages": ("messages",),
}
MESSAGE_FIELDS: dict[str, tuple[str, ...]] = {
"role": ("role", "speaker"),
"content": ("content", "text"),
}
EVIDENCE_UNIT_FIELDS: dict[str, tuple[str, ...]] = {
"unit_id": ("unit_id", "id", "evidence_unit_id"),
"text": ("canonical_text", "text"),
}
CANDIDATE_FIELDS: dict[str, tuple[str, ...]] = {
"candidate_id": ("candidate_id", "memory_id", "id"),
"text": ("text", "serialized", "content"),
"coverage": ("coverage", "coverage_by_unit", "unit_coverage", "coverage_scores"),
}
class Validator:
def __init__(self, max_errors: int) -> None:
self.max_errors = max_errors
self.errors: list[str] = []
self.omitted_errors = 0
self.seen_example_ids: dict[str, str] = {}
self.domain_counts: Counter[str] = Counter()
self.domain_sessions: Counter[str] = Counter()
self.domain_messages: Counter[str] = Counter()
self.domain_units: Counter[str] = Counter()
self.domain_candidates: Counter[str] = Counter()
self.rows_seen = 0
def add_error(self, location: str, message: str) -> None:
if len(self.errors) < self.max_errors:
self.errors.append(f"{location}: {message}")
else:
self.omitted_errors += 1
@property
def truncated_errors(self) -> bool:
return self.omitted_errors > 0
def first_present(record: dict[str, Any], aliases: tuple[str, ...]) -> tuple[str | None, Any]:
for key in aliases:
if key in record:
return key, record[key]
return None, None
def require_fields(
validator: Validator,
location: str,
record: Any,
fields: dict[str, tuple[str, ...]],
) -> bool:
if not isinstance(record, dict):
validator.add_error(location, "expected object")
return False
ok = True
for canonical_name, aliases in fields.items():
key, _ = first_present(record, aliases)
if key is None:
alias_text = "/".join(aliases)
validator.add_error(location, f"missing required field {canonical_name} ({alias_text})")
ok = False
return ok
def as_id(value: Any) -> str | None:
if isinstance(value, str) and value:
return value
if isinstance(value, int) and not isinstance(value, bool):
return str(value)
return None
def validate_stringish(validator: Validator, location: str, field_name: str, value: Any) -> None:
if not isinstance(value, str) or not value.strip():
validator.add_error(location, f"{field_name} must be a non-empty string")
def validate_id_list(
validator: Validator,
location: str,
field_name: str,
value: Any,
) -> list[str]:
if not isinstance(value, list):
validator.add_error(location, f"{field_name} must be a list")
return []
ids: list[str] = []
seen: set[str] = set()
for index, item in enumerate(value):
item_id = as_id(item)
item_location = f"{location}.{field_name}[{index}]"
if item_id is None:
validator.add_error(item_location, "must be a non-empty string or integer ID")
continue
if item_id in seen:
validator.add_error(item_location, f"duplicate ID {item_id!r}")
seen.add(item_id)
ids.append(item_id)
return ids
def validate_sessions(validator: Validator, location: str, value: Any) -> tuple[int, int]:
if not isinstance(value, list):
validator.add_error(location, "sessions must be a list")
return 0, 0
session_ids: set[str] = set()
message_count = 0
for session_index, session in enumerate(value):
session_location = f"{location}.sessions[{session_index}]"
if not require_fields(validator, session_location, session, SESSION_FIELDS):
continue
_, raw_session_id = first_present(session, SESSION_FIELDS["session_id"])
session_id = as_id(raw_session_id)
if session_id is None:
validator.add_error(session_location, "session_id must be a non-empty string or integer ID")
elif session_id in session_ids:
validator.add_error(session_location, f"duplicate session_id {session_id!r}")
else:
session_ids.add(session_id)
_, messages = first_present(session, SESSION_FIELDS["messages"])
if not isinstance(messages, list):
validator.add_error(f"{session_location}.messages", "messages must be a list")
continue
message_count += len(messages)
for message_index, message in enumerate(messages):
message_location = f"{session_location}.messages[{message_index}]"
if not require_fields(validator, message_location, message, MESSAGE_FIELDS):
continue
_, role = first_present(message, MESSAGE_FIELDS["role"])
_, content = first_present(message, MESSAGE_FIELDS["content"])
validate_stringish(validator, message_location, "role", role)
validate_stringish(validator, message_location, "content", content)
return len(value), message_count
def validate_evidence_units(validator: Validator, location: str, value: Any) -> tuple[set[str], int]:
if not isinstance(value, list):
validator.add_error(location, "evidence_units must be a list")
return set(), 0
unit_ids: set[str] = set()
for unit_index, unit in enumerate(value):
unit_location = f"{location}.evidence_units[{unit_index}]"
if not require_fields(validator, unit_location, unit, EVIDENCE_UNIT_FIELDS):
continue
_, raw_unit_id = first_present(unit, EVIDENCE_UNIT_FIELDS["unit_id"])
unit_id = as_id(raw_unit_id)
if unit_id is None:
validator.add_error(unit_location, "unit_id must be a non-empty string or integer ID")
elif unit_id in unit_ids:
validator.add_error(unit_location, f"duplicate unit_id {unit_id!r}")
else:
unit_ids.add(unit_id)
_, text = first_present(unit, EVIDENCE_UNIT_FIELDS["text"])
validate_stringish(validator, unit_location, "text", text)
return unit_ids, len(value)
def validate_candidate_memories(
validator: Validator,
location: str,
value: Any,
evidence_unit_ids: set[str],
) -> int:
if not isinstance(value, list):
validator.add_error(location, "candidate_memories must be a list")
return 0
candidate_ids: set[str] = set()
for candidate_index, candidate in enumerate(value):
candidate_location = f"{location}.candidate_memories[{candidate_index}]"
if not require_fields(validator, candidate_location, candidate, CANDIDATE_FIELDS):
continue
_, raw_candidate_id = first_present(candidate, CANDIDATE_FIELDS["candidate_id"])
candidate_id = as_id(raw_candidate_id)
if candidate_id is None:
validator.add_error(candidate_location, "candidate_id must be a non-empty string or integer ID")
elif candidate_id in candidate_ids:
validator.add_error(candidate_location, f"duplicate candidate_id {candidate_id!r}")
else:
candidate_ids.add(candidate_id)
_, text = first_present(candidate, CANDIDATE_FIELDS["text"])
validate_stringish(validator, candidate_location, "text", text)
coverage_key, coverage = first_present(candidate, CANDIDATE_FIELDS["coverage"])
if not isinstance(coverage, dict):
validator.add_error(candidate_location, "coverage must be an object mapping unit IDs to scores")
continue
for unit_id, score in coverage.items():
coverage_location = f"{candidate_location}.{coverage_key}[{unit_id!r}]"
if unit_id not in evidence_unit_ids:
validator.add_error(coverage_location, "references unknown evidence unit")
if isinstance(score, bool) or not isinstance(score, (int, float)):
validator.add_error(coverage_location, "coverage score must be numeric")
continue
if not math.isfinite(float(score)) or not 0.0 <= float(score) <= 1.0:
validator.add_error(coverage_location, "coverage score must be in [0, 1]")
return len(value)
def validate_example(validator: Validator, path: Path, line_number: int, row: Any) -> None:
validator.rows_seen += 1
location = f"{path}:{line_number}"
if not require_fields(validator, location, row, TOP_LEVEL_FIELDS):
if not isinstance(row, dict):
return
assert isinstance(row, dict)
_, raw_example_id = first_present(row, TOP_LEVEL_FIELDS["id"])
example_id = as_id(raw_example_id)
if example_id is None:
validator.add_error(location, "id must be a non-empty string or integer ID")
example_key = f"<missing-id:{path}:{line_number}>"
else:
example_key = example_id
if example_id in validator.seen_example_ids:
first_location = validator.seen_example_ids[example_id]
validator.add_error(location, f"duplicate example id {example_id!r}; first seen at {first_location}")
else:
validator.seen_example_ids[example_id] = location
_, domain_value = first_present(row, TOP_LEVEL_FIELDS["domain"])
domain = domain_value if isinstance(domain_value, str) and domain_value else "<missing>"
if domain == "<missing>":
validator.add_error(location, "domain must be a non-empty string")
_, sessions = first_present(row, TOP_LEVEL_FIELDS["sessions"])
_, evidence_units = first_present(row, TOP_LEVEL_FIELDS["evidence_units"])
_, required_units = first_present(row, TOP_LEVEL_FIELDS["required_unit_ids_for_query"])
_, candidate_memories = first_present(row, TOP_LEVEL_FIELDS["candidate_memories"])
session_count, message_count = validate_sessions(validator, location, sessions)
evidence_unit_ids, unit_count = validate_evidence_units(validator, location, evidence_units)
required_unit_ids = validate_id_list(
validator,
location,
"required_unit_ids_for_query",
required_units,
)
for unit_id in required_unit_ids:
if unit_id not in evidence_unit_ids:
validator.add_error(
f"{location}.required_unit_ids_for_query",
f"required unit {unit_id!r} is not present in evidence_units",
)
candidate_count = validate_candidate_memories(validator, location, candidate_memories, evidence_unit_ids)
validator.domain_counts[domain] += 1
validator.domain_sessions[domain] += session_count
validator.domain_messages[domain] += message_count
validator.domain_units[domain] += unit_count
validator.domain_candidates[domain] += candidate_count
_, future_query = first_present(row, TOP_LEVEL_FIELDS["future_query"])
if isinstance(future_query, str):
validate_stringish(validator, location, "future_query", future_query)
elif isinstance(future_query, dict):
if require_fields(validator, f"{location}.future_query", future_query, FUTURE_QUERY_FIELDS):
_, query_text = first_present(future_query, FUTURE_QUERY_FIELDS["text"])
_, answer = first_present(future_query, FUTURE_QUERY_FIELDS["answer"])
_, should_abstain = first_present(
future_query, FUTURE_QUERY_FIELDS["should_abstain"]
)
validate_stringish(validator, f"{location}.future_query", "text", query_text)
validate_stringish(validator, f"{location}.future_query", "answer", answer)
if not isinstance(should_abstain, bool):
validator.add_error(
f"{location}.future_query",
"should_abstain must be a boolean",
)
else:
validator.add_error(location, "future_query must be a non-empty string or object")
# Keep linters honest and make debugging partial records easier.
_ = example_key
def validate_path(validator: Validator, path: Path) -> None:
if not path.exists():
validator.add_error(str(path), "file does not exist")
return
if not path.is_file():
validator.add_error(str(path), "path is not a file")
return
with path.open("r", encoding="utf-8") as handle:
for line_number, line in enumerate(handle, start=1):
stripped = line.strip()
if not stripped:
validator.add_error(f"{path}:{line_number}", "blank lines are not valid JSONL records")
continue
try:
row = json.loads(stripped)
except json.JSONDecodeError as exc:
validator.add_error(f"{path}:{line_number}", f"invalid JSON: {exc.msg}")
continue
validate_example(validator, path, line_number, row)
def print_summary(validator: Validator, paths: list[Path]) -> None:
print(f"Validated {validator.rows_seen} records from {len(paths)} file(s).")
print("Domain summary:")
if not validator.domain_counts:
print(" <none>")
else:
for domain in sorted(validator.domain_counts):
print(
" "
f"{domain}: "
f"records={validator.domain_counts[domain]}, "
f"sessions={validator.domain_sessions[domain]}, "
f"messages={validator.domain_messages[domain]}, "
f"evidence_units={validator.domain_units[domain]}, "
f"candidate_memories={validator.domain_candidates[domain]}"
)
if validator.errors:
print(f"Errors ({len(validator.errors)} shown):")
for error in validator.errors:
print(f" - {error}")
if validator.truncated_errors:
print(f" - {validator.omitted_errors} additional error(s) omitted after --max-errors={validator.max_errors}")
else:
print("Errors: none")
def parse_args(argv: list[str]) -> argparse.Namespace:
parser = argparse.ArgumentParser(
description="Validate human-style OracleMem natural-example JSONL files.",
)
parser.add_argument("jsonl_paths", nargs="+", type=Path, help="One or more JSONL files to validate.")
parser.add_argument(
"--max-errors",
type=int,
default=100,
help="Maximum number of validation errors to print before truncating output.",
)
return parser.parse_args(argv)
def main(argv: list[str] | None = None) -> int:
args = parse_args(sys.argv[1:] if argv is None else argv)
max_errors = args.max_errors if args.max_errors > 0 else 1
validator = Validator(max_errors=max_errors)
for path in args.jsonl_paths:
validate_path(validator, path)
print_summary(validator, args.jsonl_paths)
return 1 if validator.errors else 0
if __name__ == "__main__":
raise SystemExit(main())