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from __future__ import annotations
import json
import os
import re
import subprocess
import tempfile
import unittest
from pathlib import Path
from typing import Any
REPO_ROOT = Path(__file__).resolve().parents[1]
MANIFEST_PATH = Path("tools/schema_v2_synthetic_augment/Cargo.toml")
RECIPES_PATH = Path("reports/dmhy_template_recipes.full_top5000.seed.jsonl")
LABEL_SCHEMA_PATH = Path("label_schema.json")
NUMERIC_TITLE_SEEDS_PATH = Path("data/synthetic_numeric_titles.txt")
PATH_PREFIX_SEEDS_PATH = Path("data/synthetic_path_prefixes.txt")
CATEGORY_FIELDS = (
"source",
"source_type",
"augmentation",
"augmentation_type",
"augment_type",
"kind",
"category",
"row_type",
"generator",
"variant",
)
TAG_PATH_SEGMENTS = {"Gekijouban", "2004", "TV"}
def load_jsonl(path: Path) -> list[dict[str, Any]]:
rows: list[dict[str, Any]] = []
with path.open("r", encoding="utf-8") as handle:
for line_no, line in enumerate(handle, 1):
line = line.strip()
if not line:
continue
try:
row = json.loads(line)
except json.JSONDecodeError as exc:
raise AssertionError(f"{path}:{line_no}: invalid JSON") from exc
if not isinstance(row, dict):
raise AssertionError(f"{path}:{line_no}: row must be a JSON object")
rows.append(row)
return rows
def load_text_lines(path: Path) -> list[str]:
return [
line.strip()
for line in path.read_text(encoding="utf-8").splitlines()
if line.strip()
]
def label_entity(label: str) -> str | None:
if label == "O":
return None
return label.split("-", 1)[1]
def has_entity(row: dict[str, Any], entity: str) -> bool:
return any(label_entity(label) == entity for label in row["labels"])
def has_path_entity(row: dict[str, Any]) -> bool:
return any(
(entity := label_entity(label)) is not None and entity.startswith("PATH_")
for label in row["labels"]
)
def category_text(row: dict[str, Any]) -> str:
values = []
for field in CATEGORY_FIELDS:
value = row.get(field)
if isinstance(value, str):
values.append(value)
return " ".join(values).lower().replace("-", "_")
def is_path_aug_row(row: dict[str, Any]) -> bool:
text = category_text(row)
return "path_aug" in text or "path_prefix" in text or has_path_entity(row)
def is_path_series_row(row: dict[str, Any]) -> bool:
return "path_series" in category_text(row)
def is_path_movie_row(row: dict[str, Any]) -> bool:
return "path_movie" in category_text(row)
def is_path_special_row(row: dict[str, Any]) -> bool:
return "path_special" in category_text(row)
def is_path_confuser_row(row: dict[str, Any]) -> bool:
return "path_confuser" in category_text(row)
def is_numeric_title_row(row: dict[str, Any], numeric_title_seeds: list[str]) -> bool:
text = category_text(row)
if "numeric_title" in text:
return True
if is_path_aug_row(row):
return False
filename = row.get("filename")
return isinstance(filename, str) and any(seed in filename for seed in numeric_title_seeds)
def span_range(filename: str, text: str, *, start_at: int = 0, end_at: int | None = None) -> range:
start = filename.find(text, start_at, end_at)
if start < 0:
raise AssertionError(f"span {text!r} not found in {filename!r}")
return range(start, start + len(text))
def span_labels(row: dict[str, Any], text: str, *, start_at: int = 0, end_at: int | None = None) -> list[str]:
filename = row["filename"]
indexes = span_range(filename, text, start_at=start_at, end_at=end_at)
return [row["labels"][index] for index in indexes]
def assert_span_not_entity(
testcase: unittest.TestCase,
row: dict[str, Any],
text: str,
entity: str,
*,
start_at: int = 0,
end_at: int | None = None,
) -> None:
labels = span_labels(row, text, start_at=start_at, end_at=end_at)
testcase.assertFalse(
any(label_entity(label) == entity for label in labels),
msg=f"{text!r} in {row['filename']!r} was labeled as {entity}: {labels}",
)
def iter_path_segments(filename: str) -> list[tuple[str, int, int]]:
segments: list[tuple[str, int, int]] = []
start = 0
for match in re.finditer(r"[\\/]", filename):
end = match.start()
if end > start:
segments.append((filename[start:end], start, end))
start = match.end()
if start < len(filename):
segments.append((filename[start:], start, len(filename)))
return segments
class SchemaV2SyntheticAugmentSmokeTests(unittest.TestCase):
tmpdir: tempfile.TemporaryDirectory[str]
output_path: Path
manifest_output_path: Path
rows: list[dict[str, Any]]
manifest: dict[str, Any]
allowed_labels: set[str]
numeric_title_seeds: list[str]
@classmethod
def setUpClass(cls) -> None:
cls.tmpdir = tempfile.TemporaryDirectory(prefix="anifilebert_schema_v2_aug_")
tmp_path = Path(cls.tmpdir.name)
cls.output_path = tmp_path / "aug.jsonl"
cls.manifest_output_path = tmp_path / "aug.manifest.json"
cls.numeric_title_seeds = load_text_lines(REPO_ROOT / NUMERIC_TITLE_SEEDS_PATH)
cls.allowed_labels = set(
json.loads((REPO_ROOT / LABEL_SCHEMA_PATH).read_text(encoding="utf-8"))[
"labels"
]
)
command = [
"cargo",
"run",
"--manifest-path",
str(MANIFEST_PATH),
"--bin",
"schema_v2_synthetic_augment",
"--",
"--recipes",
str(RECIPES_PATH),
"--label-schema-file",
str(LABEL_SCHEMA_PATH),
"--numeric-title-seeds",
str(NUMERIC_TITLE_SEEDS_PATH),
"--path-prefix-seeds",
str(PATH_PREFIX_SEEDS_PATH),
"--limit-templates",
"80",
"--max-rows",
"2000",
"--output",
str(cls.output_path),
"--manifest-output",
str(cls.manifest_output_path),
]
env = os.environ.copy()
env["CARGO_TARGET_DIR"] = str(tmp_path / "cargo-target")
result = subprocess.run(
command,
cwd=REPO_ROOT,
env=env,
capture_output=True,
text=True,
encoding="utf-8",
errors="replace",
)
if result.returncode != 0:
raise RuntimeError(
"\n".join(
[
f"cargo run failed with exit code {result.returncode}",
"command: " + " ".join(command),
"stdout:",
result.stdout.strip(),
"stderr:",
result.stderr.strip(),
]
)
)
cls.rows = load_jsonl(cls.output_path)
cls.manifest = json.loads(
cls.manifest_output_path.read_text(encoding="utf-8")
)
@classmethod
def tearDownClass(cls) -> None:
cls.tmpdir.cleanup()
def test_jsonl_rows_are_char_tokenized_and_strict_bio(self) -> None:
self.assertGreater(len(self.rows), 0, "generator produced no rows")
for row_number, row in enumerate(self.rows, 1):
with self.subTest(row=row_number):
self.assertIsInstance(row.get("filename"), str)
self.assertEqual(row["tokens"], list(row["filename"]))
self.assertEqual(len(row["tokens"]), len(row["labels"]))
previous_entity: str | None = None
for index, label in enumerate(row["labels"]):
self.assertIn(label, self.allowed_labels)
if label == "O":
previous_entity = None
continue
prefix, entity = label.split("-", 1)
self.assertIn(prefix, {"B", "I"})
if prefix == "I":
self.assertEqual(
previous_entity,
entity,
msg=(
f"orphan I-tag at row {row_number}, index {index}: "
f"{label} in {row['filename']!r}"
),
)
previous_entity = entity
def test_manifest_counts_match_data_categories(self) -> None:
required_keys = {"generated_rows", "numeric_title_rows", "path_rows"}
self.assertFalse(required_keys - self.manifest.keys())
numeric_title_rows = [
row for row in self.rows if is_numeric_title_row(row, self.numeric_title_seeds)
]
path_aug_rows = [row for row in self.rows if is_path_aug_row(row)]
path_series_rows = [row for row in self.rows if is_path_series_row(row)]
path_movie_rows = [row for row in self.rows if is_path_movie_row(row)]
path_special_rows = [row for row in self.rows if is_path_special_row(row)]
path_confuser_rows = [row for row in self.rows if is_path_confuser_row(row)]
self.assertGreater(len(numeric_title_rows), 0)
self.assertGreater(len(path_aug_rows), 0)
self.assertGreater(len(path_series_rows), 0)
self.assertGreater(len(path_movie_rows), 0)
self.assertGreater(len(path_special_rows), 0)
self.assertGreater(len(path_confuser_rows), 0)
self.assertEqual(self.manifest["generated_rows"], len(self.rows))
self.assertEqual(self.manifest["numeric_title_rows"], len(numeric_title_rows))
self.assertEqual(self.manifest["path_rows"], len(path_aug_rows))
self.assertEqual(self.manifest["path_series_rows"], len(path_series_rows))
self.assertEqual(self.manifest["path_movie_rows"], len(path_movie_rows))
self.assertEqual(self.manifest["path_special_rows"], len(path_special_rows))
self.assertEqual(self.manifest["path_confuser_rows"], len(path_confuser_rows))
self.assertEqual(
self.manifest["path_rows"],
self.manifest["path_series_rows"]
+ self.manifest["path_movie_rows"]
+ self.manifest["path_special_rows"]
+ self.manifest["path_confuser_rows"],
)
def test_numeric_title_digits_are_not_episode(self) -> None:
for title, numeric_part in (("91 Days", "91"), ("7-nin", "7")):
matches = [row for row in self.rows if title in row["filename"]]
self.assertGreater(len(matches), 0, f"missing numeric title sample {title!r}")
for row in matches:
title_start = row["filename"].find(title)
title_end = title_start + len(title)
assert_span_not_entity(
self,
row,
numeric_part,
"EPISODE",
start_at=title_start,
end_at=title_end,
)
def test_special_codes_do_not_create_episode_labels(self) -> None:
special_cases = ("[NCOP2]", "[NCED]", "[PV][01]")
seen: set[str] = set()
for row in self.rows:
filename = row["filename"]
for special in special_cases:
if special not in filename:
continue
seen.add(special)
assert_span_not_entity(self, row, special, "EPISODE")
self.assertIn("B-SPECIAL", span_labels(row, special))
self.assertEqual(
seen,
set(special_cases),
msg=f"missing special-code samples: {sorted(set(special_cases) - seen)}",
)
def test_path_aug_labels_path_title_path_season_and_tag_directories(self) -> None:
path_rows = [row for row in self.rows if is_path_aug_row(row)]
self.assertTrue(any(has_entity(row, "PATH_TITLE_LATIN") for row in path_rows))
self.assertTrue(any(has_entity(row, "PATH_SEASON") for row in path_rows))
self.assertTrue(any(is_path_confuser_row(row) for row in path_rows))
seen_tag_segments: set[str] = set()
for row in path_rows:
for segment, start, end in iter_path_segments(row["filename"]):
if segment not in TAG_PATH_SEGMENTS:
continue
seen_tag_segments.add(segment)
labels = row["labels"][start:end]
self.assertEqual(
labels,
["B-TAG", *(["I-TAG"] * (len(segment) - 1))],
msg=f"path segment {segment!r} should be TAG in {row['filename']!r}",
)
self.assertFalse(
any(label_entity(label) == "PATH_SEASON" for label in labels),
msg=f"path segment {segment!r} should not be PATH_SEASON",
)
self.assertEqual(
seen_tag_segments,
TAG_PATH_SEGMENTS,
msg=f"missing path tag samples: {sorted(TAG_PATH_SEGMENTS - seen_tag_segments)}",
)
if __name__ == "__main__":
unittest.main(verbosity=2)
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