Files
OCR-SPRIN-SERVICE/tests/unit/test_ground_truth_service.py
Devin AI 0755fbebda Fix empty-dict consistency in ground-truth export
Devin Review (post-merge on PR #6) flagged that the `final_result`
assignment used a truthiness check (`if job_row.result`) while
`build_initial_result` used an identity check (`is None`). For a
job whose result is an empty dict (`{}`), the emitted
`GroundTruthSample` ended up with `initial_result={}` but
`final_result=None` — logically inconsistent.

Switch the final-result assignment to the same `is None` check so
both fields agree. Added `test_empty_dict_result_stays_consistent`
to lock the invariant in, and fixed the test helper so callers can
pass `{}` without the helper's `or` fallback replacing it.

Co-Authored-By: adrian kuman firmansah <adriancuman@gmail.com>
2026-04-25 20:33:26 +00:00

232 lines
8.5 KiB
Python

"""Unit tests for the ground-truth export service."""
from __future__ import annotations
import json
from datetime import datetime, timezone
from uuid import UUID, uuid4
import pytest
from ocr_sprint.db.base import Base, get_engine, session_scope
from ocr_sprint.db.repositories import JobRepository
from ocr_sprint.ground_truth import (
GroundTruthFilters,
build_initial_result,
ground_truth_stats,
iter_ground_truth_samples,
serialize_sample_to_jsonl,
)
from ocr_sprint.schemas.document import DocumentStatus, SourceKind
@pytest.fixture
def db_ready() -> None:
Base.metadata.create_all(bind=get_engine())
def _seed_approved_job_with_corrections(
*,
final_result: dict[str, object] | None = None,
corrections: list[tuple[str, object, object]] | None = None,
approved: bool = True,
) -> UUID:
jid = uuid4()
with session_scope() as session:
repo = JobRepository(session)
repo.create(job_id=jid, filename="x.pdf", source_kind=SourceKind.PDF, blob_key="k")
with session_scope() as session:
JobRepository(session).mark_completed(
jid,
status=DocumentStatus.NEEDS_REVIEW,
confidence=0.8,
# ``is None`` (not truthiness) so callers can pass ``{}`` to
# exercise the empty-dict edge case.
result=(
final_result
if final_result is not None
else {
"header": {
"nomor_sprint": "SPR/1/2025",
"satuan_penerbit": "POLRES X",
},
"personel": [{"pangkat": "AIPDA", "nrp": "77060000", "nama": "BUDI"}],
}
),
review_flags=[],
)
if corrections:
# Corrections are tuples of (path, value, old_value_for_audit).
# We translate them into real PATCH calls so the audit rows look
# exactly like they would in production.
with session_scope() as session:
JobRepository(session).apply_corrections(
jid,
corrections=[(p, new, None) for (p, new, _old) in corrections],
corrected_by="reviewer-a",
)
if approved:
with session_scope() as session:
JobRepository(session).approve(jid, reviewed_by="reviewer-a")
return jid
def test_build_initial_result_reverses_corrections() -> None:
"""With known old/new pairs the replay must return the pre-HITL dict."""
final = {
"header": {"nomor_sprint": "SPR/1/2025", "perihal": "Penyelidikan"},
}
class _Fake:
def __init__(self, path: str, old: object, new: object) -> None:
self.field_path = path
self.old_value = old
self.new_value = new
corrections = [
_Fake("header.perihal", None, "Penyelidikan"),
_Fake("header.nomor_sprint", "SPR/OLD/2025", "SPR/1/2025"),
]
restored = build_initial_result(final_result=final, corrections=corrections) # type: ignore[arg-type]
assert restored == {
"header": {"nomor_sprint": "SPR/OLD/2025", "perihal": None},
}
# ``final`` must not have been mutated.
assert final["header"]["nomor_sprint"] == "SPR/1/2025"
def test_build_initial_result_ignores_unresolvable_paths() -> None:
"""A legacy path that no longer resolves should be skipped, not raise."""
final = {"header": {"nomor_sprint": "SPR/1"}}
class _Fake:
def __init__(self, path: str, old: object, new: object) -> None:
self.field_path = path
self.old_value = old
self.new_value = new
corrections = [
_Fake("personel[99].nrp", "stale", "new"), # container doesn't exist
_Fake("bogus..path", "x", "y"),
]
restored = build_initial_result(final_result=final, corrections=corrections) # type: ignore[arg-type]
assert restored == final
def test_iter_samples_reconstructs_initial_and_final(db_ready: None) -> None:
jid = _seed_approved_job_with_corrections(
corrections=[("header.perihal", "Penyelidikan", None)],
)
with session_scope() as session:
samples = list(iter_ground_truth_samples(session, GroundTruthFilters()))
assert len(samples) == 1
s = samples[0]
assert s.job_id == jid
assert s.approved is True
assert s.reviewed_by == "reviewer-a"
assert s.final_result is not None
assert s.final_result["header"]["perihal"] == "Penyelidikan"
# Initial reconstruction undoes the correction.
assert s.initial_result is not None
assert s.initial_result["header"].get("perihal") is None
assert len(s.corrections) == 1
assert s.corrections[0].field_path == "header.perihal"
def test_iter_samples_respects_approved_only_default(db_ready: None) -> None:
"""Unapproved jobs must be excluded unless approved_only=False."""
_seed_approved_job_with_corrections(approved=False)
with session_scope() as session:
samples = list(iter_ground_truth_samples(session, GroundTruthFilters()))
assert samples == []
with session_scope() as session:
samples = list(iter_ground_truth_samples(session, GroundTruthFilters(approved_only=False)))
assert len(samples) == 1
def test_iter_samples_respects_has_corrections_filter(db_ready: None) -> None:
_seed_approved_job_with_corrections(corrections=None) # pristine
_seed_approved_job_with_corrections(corrections=[("header.perihal", "fill", None)])
with session_scope() as session:
with_ = list(iter_ground_truth_samples(session, GroundTruthFilters(has_corrections=True)))
without = list(
iter_ground_truth_samples(session, GroundTruthFilters(has_corrections=False))
)
assert len(with_) == 1
assert len(without) == 1
assert with_[0].job_id != without[0].job_id
def test_iter_samples_respects_since_until_and_limit(db_ready: None) -> None:
_seed_approved_job_with_corrections()
_seed_approved_job_with_corrections()
_seed_approved_job_with_corrections()
# Since far in the future → empty.
future = datetime(2999, 1, 1, tzinfo=timezone.utc)
with session_scope() as session:
out = list(iter_ground_truth_samples(session, GroundTruthFilters(since=future)))
assert out == []
# Limit caps the number emitted.
with session_scope() as session:
out = list(iter_ground_truth_samples(session, GroundTruthFilters(limit=2)))
assert len(out) == 2
def test_stats_counts_rollup_and_top_fields(db_ready: None) -> None:
# 1 approved job with 2 corrections on ``header.perihal``.
_seed_approved_job_with_corrections(
corrections=[
("header.perihal", "first", None),
]
)
jid = _seed_approved_job_with_corrections(
corrections=[
("header.perihal", "second", None),
("personel[0].nrp", "77060001", None),
],
)
assert jid # silence unused
with session_scope() as session:
stats = ground_truth_stats(session)
assert stats.total_jobs == 2
assert stats.approved_jobs == 2
assert stats.total_corrections == 3
assert stats.jobs_with_corrections == 2
# ``header.perihal`` is the most-corrected field (2 > 1).
assert stats.top_corrected_fields[0].field_path == "header.perihal"
assert stats.top_corrected_fields[0].count == 2
assert {f.field_path for f in stats.top_corrected_fields} == {
"header.perihal",
"personel[0].nrp",
}
def test_empty_dict_result_stays_consistent(db_ready: None) -> None:
"""An empty-dict result (``{}``) is logically a valid snapshot — it
must round-trip as ``{}`` on *both* ``initial_result`` and
``final_result``, not ``{}`` on one and ``None`` on the other.
"""
_seed_approved_job_with_corrections(final_result={})
with session_scope() as session:
samples = list(iter_ground_truth_samples(session, GroundTruthFilters()))
assert len(samples) == 1
assert samples[0].initial_result == {}
assert samples[0].final_result == {}
def test_serialize_is_valid_jsonl(db_ready: None) -> None:
_seed_approved_job_with_corrections(corrections=[("header.perihal", "X", None)])
with session_scope() as session:
for sample in iter_ground_truth_samples(session, GroundTruthFilters()):
line = serialize_sample_to_jsonl(sample)
assert line.endswith("\n")
# Strip trailing newline and make sure the result is a single
# JSON object (not a list — JSONL must be one object per line).
parsed = json.loads(line)
assert isinstance(parsed, dict)
assert parsed["approved"] is True