Files
LabDataStorageEvaluation/common/corpus.py
administrator 96ed7bc918 feat(convert): add task 05 sqlite converter with variant B keys" -m "- convert: convert_sqlite.py builds tribo.db (composite PKs, enforced FKs, Q1-Q7 indexes, track_summary)
- tools: common/track_summary.py fixes the cross-engine steady-state algorithm
- rules: db-sql-schema records the FK enforcement decision and track_summary definition
- specs: 05 aligned with data-naming-units, simtra_profiles added
- docs: FK key-schema study added under docs/research/, README updated
- replace manual CSV reading with CorpusReader for better data handling
- streamline argument parsing and dependency checks using common pipeline functions
- enhance marker writing for task completion tracking
- remove unused regex and validation error classes for cleaner code
2026-07-11 16:08:29 -04:00

74 lines
2.4 KiB
Python

"""Reading the CSV corpus with MANIFEST validation (converters, tasks 04-07).
Every file consumed from ./out/csv/ is verified against MANIFEST.csv (byte
size, sha256, row count) before its content is trusted - a mismatch aborts
the converter (docs/rules/test-pipeline-validation.md section 2).
"""
from __future__ import annotations
import hashlib
import logging
import re
from pathlib import Path
logger = logging.getLogger(__name__)
MANIFEST_HEADER = "path,rows,bytes,sha256"
INT_RE = re.compile(r"^-?[0-9]+$")
FLOAT_RE = re.compile(r"^-?([0-9]+\.[0-9]*|\.[0-9]+|[0-9]+)([eE][+-]?[0-9]+)?$")
class ValidationError(RuntimeError):
pass
def coerce(s: str) -> int | float | str:
if INT_RE.match(s):
return int(s)
if FLOAT_RE.match(s):
return float(s)
return s
class CorpusReader:
def __init__(self, csv_root: Path) -> None:
self.csv_root = csv_root
self.manifest = self._load_manifest()
def _load_manifest(self) -> dict[str, tuple[int, int, str]]:
manifest: dict[str, tuple[int, int, str]] = {}
with open(self.csv_root / "MANIFEST.csv", encoding="ascii") as fh:
header = fh.readline().strip()
if header != MANIFEST_HEADER:
raise ValidationError(f"MANIFEST.csv: unexpected header {header!r}")
for line in fh:
path, rows, nbytes, sha = line.strip().split(",")
manifest[path] = (int(rows), int(nbytes), sha)
logger.info("manifest loaded: %d entries", len(manifest))
return manifest
def read(self, relpath: str) -> tuple[list[str], list[list[str]]]:
"""Return (header, raw string rows), verified against MANIFEST."""
data = (self.csv_root / relpath).read_bytes()
exp_rows, exp_bytes, exp_sha = self.manifest[relpath]
if len(data) != exp_bytes or hashlib.sha256(data).hexdigest() != exp_sha:
raise ValidationError(f"{relpath}: bytes/sha256 mismatch vs MANIFEST")
lines = data.decode("ascii").split("\n")
header = lines[0].split(",")
rows = [ln.split(",") for ln in lines[1:] if ln]
if len(rows) != exp_rows:
raise ValidationError(f"{relpath}: {len(rows)} rows != manifest {exp_rows}")
return header, rows
def dicts(self, relpath: str) -> list[dict]:
"""Rows as dicts: lowercased CSV headers as keys, numerics coerced,
empty cells omitted (docs/rules/data-naming-units.md section 4)."""
header, rows = self.read(relpath)
keys = [h.lower() for h in header]
return [
{k: coerce(v) for k, v in zip(keys, row) if v != ""}
for row in rows
]