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import hashlib
from dataclasses import dataclass
from pathlib import Path
from typing import Dict, List, Optional
RETRIEVAL_SCHEMA_VERSION = "question-answer-v1"
REQUIRED_COLUMNS = {
"id",
"question",
"answer",
"source_id",
"category_id",
"difficulty",
"flash",
"is_deleted",
}
@dataclass(frozen=True)
class QuestionRecord:
question_id: int
question: str
answer: str = ""
source_id: Optional[int] = None
category_id: Optional[int] = None
chapter_id: Optional[int] = None
difficulty: Optional[int] = None
flash: bool = False
event_seerah: bool = False
updated_at: str = ""
is_deleted: bool = False
@property
def retrieval_text(self) -> str:
"""Text used by dense retrieval, BM25, and reranking."""
return f"Question: {self.question}\nAnswer: {self.answer}"
def metadata(self) -> Dict[str, object]:
return {
"question_id": self.question_id,
"source_id": self.source_id,
"category_id": self.category_id,
"difficulty": self.difficulty,
"flash": self.flash,
"is_deleted": self.is_deleted,
}
@dataclass(frozen=True)
class ParsedQuestions:
records: List[QuestionRecord]
source_sha256: str
invalid_count: int
deleted_count: int
class QuizCsvValidationError(ValueError):
pass
def _text(value: object) -> str:
text = str(value or "").strip()
return "" if text.lower() == "null" else text
def _required_positive_int(value: object, field: str, row_number: int) -> int:
text = _text(value)
if not text:
raise QuizCsvValidationError(f"Row {row_number}: {field} is required.")
try:
numeric = float(text)
except ValueError as exc:
raise QuizCsvValidationError(
f"Row {row_number}: {field} is not an integer."
) from exc
if not numeric.is_integer():
raise QuizCsvValidationError(
f"Row {row_number}: {field} is not an integer."
)
parsed = int(numeric)
if parsed <= 0:
raise QuizCsvValidationError(
f"Row {row_number}: {field} must be positive."
)
return parsed
def _optional_positive_int(
value: object,
field: str,
row_number: int,
) -> Optional[int]:
text = _text(value)
if not text:
return None
return _required_positive_int(text, field, row_number)
def _boolean(value: object, field: str, row_number: int) -> bool:
text = _text(value).lower()
if text in {"1", "true", "t", "yes", "y"}:
return True
if text in {"0", "false", "f", "no", "n", ""}:
return False
raise QuizCsvValidationError(
f"Row {row_number}: {field} is not a boolean."
)
def file_sha256(path: Path) -> str:
digest = hashlib.sha256()
with path.open("rb") as handle:
for chunk in iter(lambda: handle.read(1024 * 1024), b""):
digest.update(chunk)
return digest.hexdigest()
def parse_questions_csv(path: Path) -> ParsedQuestions:
if not path.is_file() or path.stat().st_size <= 0:
raise QuizCsvValidationError("Quiz CSV is missing or empty.")
records: List[QuestionRecord] = []
seen_ids = set()
invalid_count = 0
deleted_count = 0
with path.open("r", encoding="utf-8-sig", newline="") as handle:
reader = csv.DictReader(handle)
fieldnames = {
str(name or "").strip()
for name in (reader.fieldnames or [])
}
missing = sorted(REQUIRED_COLUMNS - fieldnames)
if missing:
raise QuizCsvValidationError(
"Quiz CSV is missing required columns: " + ", ".join(missing)
)
for row_number, raw in enumerate(reader, start=2):
try:
question_id = _required_positive_int(
raw.get("id"),
"id",
row_number,
)
question = _text(raw.get("question"))
if not question:
raise QuizCsvValidationError(
f"Row {row_number}: question is blank."
)
answer = _text(raw.get("answer"))
if not answer:
raise QuizCsvValidationError(
f"Row {row_number}: answer is blank."
)
if question_id in seen_ids:
raise QuizCsvValidationError(
f"Row {row_number}: duplicate id {question_id}."
)
is_deleted = _boolean(
raw.get("is_deleted"),
"is_deleted",
row_number,
)
seen_ids.add(question_id)
if is_deleted:
deleted_count += 1
continue
difficulty = _optional_positive_int(
raw.get("difficulty"),
"difficulty",
row_number,
)
if difficulty is not None and difficulty not in {1, 2, 3}:
raise QuizCsvValidationError(
f"Row {row_number}: difficulty must be 1, 2, or 3."
)
records.append(
QuestionRecord(
question_id=question_id,
question=question,
answer=answer,
source_id=_optional_positive_int(
raw.get("source_id"),
"source_id",
row_number,
),
category_id=_optional_positive_int(
raw.get("category_id"),
"category_id",
row_number,
),
difficulty=difficulty,
flash=_boolean(
raw.get("flash"),
"flash",
row_number,
),
is_deleted=False,
)
)
except QuizCsvValidationError:
invalid_count += 1
raise
if not records:
raise QuizCsvValidationError("Quiz CSV contains no active questions.")
return ParsedQuestions(
records=records,
source_sha256=file_sha256(path),
invalid_count=invalid_count,
deleted_count=deleted_count,
)
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