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239e8f8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 | """Regression checks for OpenAlex workqueue counts.
Run from the repository root with:
python3 -m unittest scripts.test_workqueue_counts
"""
from __future__ import annotations
import csv
import json
import sys
import tempfile
import unittest
from pathlib import Path
sys.path.insert(0, str(Path(__file__).resolve().parent))
import workqueue_counts # noqa: E402
ROOT = Path(__file__).resolve().parents[1]
COUNT_FIELDS = workqueue_counts.QUEUE_FIELDS
CATALOG_FIELDS = [
"record_id", "work_id", "collection", "group", "title", "authors",
"year", "work_type", "pages", "pdf_url", "source_url", "identifier",
"status", "checked_at", "sha256", "verification_note", "source_notes",
]
def _write_jsonl(path: Path, rows: list[dict]) -> None:
path.parent.mkdir(parents=True, exist_ok=True)
path.write_text("".join(json.dumps(row) + "\n" for row in rows), encoding="utf-8")
def _record(record_id: str, collection: str, digest: str, **changes) -> dict:
row = dict.fromkeys(CATALOG_FIELDS, "")
row.update({
"record_id": record_id,
"work_id": "sha256:" + digest,
"collection": collection,
"group": "test",
"title": record_id,
"year": "2020",
"work_type": "scholarly_book",
"pages": "100",
"pdf_url": "https://example.org/book.pdf",
"source_url": "https://example.org/book",
"status": "downloaded_and_screened",
"checked_at": "2026-10-12T00:00:00Z",
"sha256": digest,
})
row.update(changes)
return row
class WorkqueueCountTests(unittest.TestCase):
def test_real_export_has_one_row_per_openalex_subfield(self):
with tempfile.TemporaryDirectory(prefix="workqueue-counts-real-") as tmp:
# Rendering writes two planning outputs; copy only authoritative inputs.
root = Path(tmp)
for rel in (
"planning/subfield_jobs.jsonl",
"planning/collection_subfield_map.json",
"taxonomy/openalex_subfields.csv",
"collections.json",
"data/verified_links.jsonl",
"data/legacy_candidates.jsonl",
"planning/workqueue_state.json",
):
source = ROOT / rel
if source.exists():
destination = root / rel
destination.parent.mkdir(parents=True, exist_ok=True)
destination.write_bytes(source.read_bytes())
for source in (ROOT / "planning").glob("*search_progress.jsonl"):
destination = root / "planning" / source.name
destination.parent.mkdir(parents=True, exist_ok=True)
destination.write_bytes(source.read_bytes())
summary = workqueue_counts.render(root, now="2026-10-12T12:00:00Z")
with (root / "planning/openalex_workqueue.csv").open(newline="", encoding="utf-8") as f:
rows = list(csv.DictReader(f))
self.assertEqual(list(rows[0]), COUNT_FIELDS)
self.assertEqual(len(rows), 252)
self.assertEqual(len({row["subfield_id"] for row in rows}), 252)
self.assertTrue(all(all(isinstance(v, str) for v in row.values()) for row in rows))
self.assertEqual(summary["global_verified_entries"], 3530)
self.assertEqual(summary["global_distinct_pdfs"], 3171)
self.assertEqual(summary["unassigned_verified_entries"], 277)
self.assertEqual(summary["zero_pdf_subfields"], 184)
self.assertEqual(summary["subfield_pdf_assignments"], 3209)
self.assertEqual(workqueue_counts.validate(root), summary)
canonical = [
json.loads(line)
for line in (ROOT / "data/verified_links.jsonl").read_text(encoding="utf-8").splitlines()
if line.strip()
]
self.assertEqual(len(canonical), 3530)
for record in canonical:
self.assertEqual(set(record), set(CATALOG_FIELDS))
self.assertTrue(all(isinstance(record[k], str) for k in CATALOG_FIELDS if k not in {"year", "pages"}))
self.assertTrue(record["year"] is None or type(record["year"]) is int)
self.assertTrue(type(record["pages"]) is int and record["pages"] > 0)
self.assertEqual(record["status"], "downloaded_and_screened")
self.assertRegex(record["sha256"], r"^[0-9a-f]{64}$")
with (ROOT / "data/verified_links.csv").open(newline="", encoding="utf-8") as f:
canonical_csv = list(csv.DictReader(f))
self.assertEqual(len(canonical_csv), 3530)
self.assertEqual(list(canonical_csv[0]), CATALOG_FIELDS)
self.assertTrue(all(all(isinstance(v, str) for v in r.values()) for r in canonical_csv))
def test_hash_dedup_assignment_and_unmapped_collection(self):
with tempfile.TemporaryDirectory(prefix="workqueue-counts-fixture-") as tmp:
root = Path(tmp)
jobs = [
{
"subfield_id": sid, "subfield_name": name, "domain_id": "1",
"domain_name": "Test", "field_id": "10", "field_name": "Test Field",
"topic_count": "1", "prompt_file": "test.txt",
}
for sid, name in (("100", "One"), ("200", "Two"), ("300", "Unmapped"))
]
_write_jsonl(root / "planning/subfield_jobs.jsonl", jobs)
definitions = [
{"collection": key, "group": "test", "path": "test/" + key}
for key in ("a", "b", "c", "unmapped")
]
(root / "collections.json").write_text(json.dumps(definitions), encoding="utf-8")
taxonomy = root / "taxonomy/openalex_subfields.csv"
taxonomy.parent.mkdir(parents=True)
with taxonomy.open("w", newline="", encoding="utf-8") as f:
writer = csv.DictWriter(f, fieldnames=list(jobs[0]))
writer.writeheader()
writer.writerows(jobs)
mapping = {
"schema_version": 1,
"mapping_basis": "editorial_collection_level_not_per_work_classification",
"collections": {
"a": {"subfield_ids": ["100"], "basis": "test", "rationale": "a"},
"b": {"subfield_ids": ["100"], "basis": "test", "rationale": "b"},
"c": {"subfield_ids": ["200"], "basis": "test", "rationale": "c"},
"unmapped": {"subfield_ids": [], "basis": "test", "rationale": "ambiguous"},
},
}
(root / "planning/collection_subfield_map.json").parent.mkdir(parents=True, exist_ok=True)
(root / "planning/collection_subfield_map.json").write_text(json.dumps(mapping), encoding="utf-8")
_write_jsonl(root / "data/verified_links.jsonl", [
_record("a1", "a", "a" * 64),
_record("b1", "b", "a" * 64), # same PDF in a second collection, same subfield
_record("b2", "b", "b" * 64),
_record("c1", "c", "a" * 64), # same PDF may count in another assigned subfield
_record("u1", "unmapped", "c" * 64),
_record("paper", "a", "e" * 64, work_type="research_article"),
])
_write_jsonl(root / "data/legacy_candidates.jsonl", [])
(root / "planning/workqueue_state.json").write_text(
json.dumps({"schema_version": 1, "tasks": {}}), encoding="utf-8"
)
workqueue_counts.render(root, now="2026-10-12T12:00:00Z")
with (root / "planning/openalex_workqueue.csv").open(newline="", encoding="utf-8") as f:
rows = {r["subfield_id"]: r for r in csv.DictReader(f)}
self.assertEqual(set(rows), {"100", "200", "300"})
self.assertEqual(rows["100"]["valid_pdf_count"], "3")
self.assertEqual(rows["100"]["book_scope_pdf_count"], "2")
self.assertEqual(rows["200"]["valid_pdf_count"], "1")
self.assertEqual(rows["300"]["valid_pdf_count"], "0")
self.assertEqual(rows["300"]["collection_ids"], "")
self.assertEqual(rows["300"]["availability"], "available")
summary = json.loads((root / "planning/workqueue_summary.json").read_text(encoding="utf-8"))
self.assertEqual(summary["global_distinct_pdfs"], 4)
self.assertEqual(summary["subfield_pdf_assignments"], 4)
self.assertEqual(summary["unassigned_distinct_pdfs"], 1)
self.assertEqual(summary["unassigned_collections"][0]["collection"], "unmapped")
def test_invalid_verified_rows_fail_closed(self):
with tempfile.TemporaryDirectory(prefix="workqueue-counts-invalid-") as tmp:
root = Path(tmp)
jobs = [{
"subfield_id": "100", "subfield_name": "One", "domain_id": "1",
"domain_name": "Test", "field_id": "10", "field_name": "Test Field",
"topic_count": "1", "prompt_file": "test.txt",
}]
_write_jsonl(root / "planning/subfield_jobs.jsonl", jobs)
(root / "collections.json").write_text(json.dumps([{"collection": "a"}]), encoding="utf-8")
taxonomy = root / "taxonomy/openalex_subfields.csv"
taxonomy.parent.mkdir(parents=True)
with taxonomy.open("w", newline="", encoding="utf-8") as f:
writer = csv.DictWriter(f, fieldnames=list(jobs[0]))
writer.writeheader()
writer.writerows(jobs)
(root / "planning/collection_subfield_map.json").write_text(json.dumps({
"schema_version": 1,
"collections": {"a": {"subfield_ids": ["100"], "basis": "test", "rationale": "test"}},
}), encoding="utf-8")
_write_jsonl(root / "data/verified_links.jsonl", [
_record("bad", "a", "f" * 64, status="legacy_not_rechecked"),
])
with self.assertRaises(ValueError):
workqueue_counts.render(root)
def test_public_inputs_preserve_mixed_medical_collection_as_unmapped(self):
mapping = json.loads((ROOT / "planning/collection_subfield_map.json").read_text(encoding="utf-8"))
self.assertEqual(mapping["mapping_basis"], "editorial_collection_level_not_per_work_classification")
self.assertEqual(mapping["collections"]["medical_sciences"]["subfield_ids"], [])
if __name__ == "__main__":
unittest.main()
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