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Author SHA1 Message Date
codex-bot adcbbb66a2 Freeze SQLite annotation fixtures before PostgreSQL migration
Metadata integrity checks / metadata (push) Successful in 1m19s
2026-11-08 18:41:38 +08:00
codex-bot a13c535919 Require completed annotation upgrade before accepting evidence
Metadata integrity checks / metadata (push) Failing after 1m5s
2026-11-08 18:40:51 +08:00
codex-bot 27e336eee9 Add evidence-bearing research types and retractable custom annotations
Metadata integrity checks / metadata (push) Failing after 1m2s
2026-11-08 18:38:48 +08:00
17 changed files with 610 additions and 115 deletions
+2
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@@ -58,5 +58,7 @@ jobs:
smoke = "from paper_atlas.db.store import Store; from paper_atlas.config import DEFAULT_REGISTRY; import json; assert {'COLM','MM','MLSys'} <= {v['acronym'] for v in json.loads(DEFAULT_REGISTRY.read_text())['venues']}; s=Store('installed.sqlite'); s.conn.close()"
subprocess.run([python,'-I','-B','-c',smoke],cwd=outside,check=True)
subprocess.run([python,'-I','-B','-m','paper_atlas','query','--db','installed.sqlite','--stats'],cwd=outside,check=True)
subprocess.run([python,'-I','-B','-m','paper_atlas','annotate','init','--db','installed.sqlite'],cwd=outside,check=True)
subprocess.run([python,'-I','-B','-m','paper_atlas','annotate','list','--db','installed.sqlite','--paper','1'],cwd=outside,check=True)
subprocess.run([python,'-I','-B','-m','paper_atlas','audit','histories','--db','installed.sqlite','--examples','0'],cwd=outside,check=True)
PY
+2
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@@ -86,3 +86,5 @@ paper-atlas collect colm --cache /data/paper-index/raw/http-cache \
CI 在已授权的远程 runner 上运行测试、构建 wheel,并从源码目录外验证安装后的命令及随包资源。数据库全量去重和覆盖率是独立的数据验收步骤,不因代码测试通过而自动完成。
开发通过工作分支和 PR 交付,由用户手动合并。
研究类型与自定义标签可通过 [`annotate`](docs/annotations.md) 显式初始化、添加和撤回;两者独立查询,保留证据及完整更正历史,不从会议轨道推断研究类型。
+107
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@@ -0,0 +1,107 @@
# Research types and custom annotations
Research type describes a claimed characteristic of the work (for example a survey,
benchmark, empirical study or replication). It is independent of topic, paper length,
conference track, presentation format and acceptance status. No type is inferred from
those fields. Multiple source-specific or human classifications may coexist; no
cross-platform vocabulary mapping or automatic classifier is provided.
`annotation_events` stores both kinds with an explicit `kind` discriminator:
`research_type` and `tag` are separate domains, even when namespace/value strings
happen to coincide. Existing platform labels remain in `tags` / `paper_tags`.
Each assertion carries namespace, value, actor, reason, evidence key, optional source
record and evidence URL, and the time it was recorded. This is observation time, not
paper publication time or a conference decision date.
Values are not forced into a global taxonomy: `custom:method=empirical` and
`platform:declared_type=empirical` retain separate provenance. An explicit platform
assertion API requires a source record belonging to that paper and matching the
namespace prefix. The manual CLI only accepts `custom:*`, and cannot retract platform
assertions. No source type has been automatically assigned to existing papers.
## Initialize explicitly
On the published PostgreSQL dataset, using its protected service file:
```sh
PGSERVICEFILE=/etc/paper-atlas/pg_service.conf paper-atlas annotate init \
--pg-service foundry-research --pg-schema research
```
This creates one optional table, its indexes, and an upgrade marker in one transaction,
using the existing dataset writer lock. It does not copy data, change existing papers
or decisions, or create a PostgreSQL instance. Repeating it is safe; an unexplained
pre-existing table/marker mismatch fails closed. Readers and ordinary imports do not
install the extension. Legacy datasets remain readable. A SQLite **sample** uses
`--db sample.sqlite`; the cutover SQLite backup remains protected against writes.
## Add and retract evidence
Use the canonical paper ID returned by `query`. For a reviewed classification:
```sh
paper-atlas annotate assert --pg-service foundry-research --pg-schema research \
--paper "$PAPER_ID" --kind research_type --namespace custom:method \
--value empirical --evidence-key manual:abstract-review \
--actor reviewer --reason 'Classified from the explicitly described study design' \
--request-id "$REQUEST_ID"
```
`$REQUEST_ID` must be a new, stable identifier for this action (for example a UUID).
Retry with the same request ID and identical content after an interrupted response;
it returns the original event ID. Reusing that ID with changed content is rejected.
A topic annotation uses `--kind tag --namespace custom:topic --value robotics` instead.
Optional `--source-record` and `--evidence-url` attach additional evidence; the source
record must belong to this paper. URLs are retained as evidence and are not fetched.
To withdraw one particular assertion, use its returned event ID:
```sh
paper-atlas annotate retract --pg-service foundry-research --pg-schema research \
--event "$EVENT_ID" --actor reviewer --reason 'Classification corrected after review' \
--request-id "$RETRACTION_REQUEST_ID"
```
Retraction adds an event referencing that assertion, preserving its original content.
It does not remove another contributor's assertion of the same label, platform tags,
source metadata or submission/decision history. A retracted assertion can be asserted
again with a new request ID and evidence; it is a new observation. The API does not
update or delete past annotation events. Database administrators still control direct
SQL access. Work reviewed as the same paper may subsequently be merged by the existing
identity workflow: annotation IDs, original paper IDs, evidence and retraction links
are retained while the canonical paper reference follows the surviving entity.
## Query and analyze
```sh
paper-atlas query --pg-service foundry-research --pg-schema research \
--research-type custom:method=empirical
paper-atlas query --pg-service foundry-research --pg-schema research \
--tag custom:topic=robotics
paper-atlas query --pg-service foundry-research --pg-schema research \
--paper "$PAPER_ID" --annotation-history
paper-atlas annotate list --pg-service foundry-research --pg-schema research \
--paper "$PAPER_ID" --history
```
`--tag` includes original platform labels and active annotation tags. It never matches
research types. `--research-type` matches active type assertions only. Paper details
return separate `tags` (existing provenance), `annotation_tags`, and `research_types`;
`--annotation-history` additionally includes retractions. A missing extension yields
empty annotation results rather than changing the database.
For direct SQL analysis, active research-type evidence is:
```sql
SELECT a.* FROM research.annotation_events a
WHERE a.kind = 'research_type' AND a.retracts_id IS NULL
AND NOT EXISTS (SELECT 1 FROM research.annotation_events r WHERE r.retracts_id = a.id);
```
Several independent assertions can support one label; count distinct papers/labels
when appropriate rather than counting evidence rows as papers. Namespaces stay
separate. Standard paper queries decode the PostgreSQL text codec; direct SQL consumers
must honor the dataset's documented codec, including NUL/SOH values. SQLite-to-PostgreSQL
migration recognizes an installed annotation extension and verifies its full row hashes,
constraints and identity sequence along with the original business tables. An old
21-table snapshot stays a 21-table migration; no synthetic annotations are generated.
-4
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@@ -178,10 +178,6 @@ paper-atlas collect dblp \
输出按会议/年份/track 分文件,附 manifest、`dblp-normalization.json` 范围审查统计和带哈希的 `dblp-import-queue.json`。不能识别的书目、年份或归属会逐类登记,不默认算作主会。DBLP 不含摘要,因此输出摘要为空、清单为 partial;需要通过有证据的跨来源关联补齐论文实体摘要。书目发表证据与原始审稿决定分别保留,不依据书目缺席推断拒稿。已存在其他出版来源的届次,还须先回填其权威身份并核验镜像记录,不能直接累加投稿数。
早期 AISTATS 1995/1997/1999/2001/2003/2005 和 COLT 1988–1991 的主系列名称本身含 Workshop,不能当作附属 workshop 漏掉。识别要求已核对的完整 proceedings key、会议书目名、原始标题前缀、届数和事件年一致;轨道名为 `main` 表示主系列,保留原始 Workshop 名称及官方目录证据,不改造其历史名称或出版形式。参见 [AISTATS 官方历史目录](https://aistats.org/other.html)、[COLT 协会目录](https://www.learningtheory.org/)。1995 AISTATS 的会议年与1996图书出版年分开;[PMLR R0](https://proceedings.mlr.press/r0/) 是后来重发的 pre-proceedings,不与 DBLP 图书条目盲目逐篇等同。
真正附属的 AISTATS 2010 Active Learning and Experimental Design workshop 仍单列。COLT 2003 与 Kernel Workshop 的 [混合论文集](https://doi.org/10.1007/b12006) 缺少逐篇章节信息,使用 `proceedings_unspecified`,不能整卷改成 main 或附属 workshop。输出保存 `track_scope_note` 与 `track_scope_evidence_url`,导入后仍可追查分类理由;这些出版证据不是真实拒稿或原始决定签名,也不自动修正既有主库记录。
部分早期 SIGIR、CIKM、IJCAI 出版卷使用两位年份键;只有论文集标题明确给出唯一完整年份且与短键相符时才采用,不推测世纪。WWW 特殊兴趣、Alternate track 单列;同卷混合 Applied Data Science、Demo、Industrial 且不能逐篇区分时使用 `proceedings_unspecified`,不把整卷归为某一个具体 track。
书目中的前后页、目录组合和明确会务标题不产生论文录用记录;缺作者的赞助、委员会、活动汇总等标题单独排除。WWW 2019 companion 的匿名合成活动条目归入待核查材料,原始快照仍保留。范围报告分别统计这些原因;单纯缺作者并不排除真实研究论文,也不补造作者。
+1
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@@ -6,6 +6,7 @@ from paper_atlas import __version__
COMMANDS = {
('annotate',): ('paper_atlas.curation.annotations', {}, '管理独立的研究类型与自定义标签证据'),
('query',): ('paper_atlas.querying', {}, '查询论文、标签和投稿历史'),
('coverage',): ('paper_atlas.audits.coverage', {}, '查看全部候选会议的覆盖情况'),
('download',): ('paper_atlas.io.snapshots', {}, '下载并校验固定版本快照'),
-2
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@@ -90,8 +90,6 @@ def normalize_row(row,volumes,targets,include_workshops=False,through_year=2026)
'ambiguous_identifiers':ambiguous,'publication_evidence':'inproceedings bibliography; not an original decision note'}
if edition.get('track_scope_note'):
metadata['track_scope_note']=edition['track_scope_note']
if edition.get('track_scope_evidence_url'):
metadata['track_scope_evidence_url']=edition['track_scope_evidence_url']
flagged=bool(re.search(r'\b(?:withdrawn|retracted)\b',row.get('publtype') or '',re.I))
result={'source':'dblp','external_id':row['key'],'url':'https://dblp.org/rec/'+row['key']+'.html',
'title':title,'abstract':None,'authors':authors,'identifiers':own,
+1 -39
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@@ -38,39 +38,6 @@ BOOKS = {
}
# These are the historical primary series themselves, not co-located workshops.
# Exact proceedings keys, original names, ordinals and event years must agree.
HISTORICAL_WORKSHOP_TITLES = {
**{('aistats', year): prefix + ordinal + ' International Workshop on Artificial Intelligence and Statistics'
for year, ordinal, prefix in [
(1995, 'Fifth', 'Learning from Data - '),
(1997, 'Sixth', 'Proceedings of the '),
(1999, 'Seventh', 'Proceedings of the '),
(2001, 'Eighth', 'Proceedings of the '),
(2003, 'Ninth', 'Proceedings of the '),
(2005, 'Tenth', 'Proceedings of the ')]},
**{('colt', year): 'Proceedings of the ' + ordinal + ' Annual Workshop on Computational Learning Theory'
for year, ordinal in [(1988, 'First'), (1989, 'Second'), (1990, 'Third'), (1991, 'Fourth')]},
}
def historical_track(family, base, suffix, volume_key, year, title):
if suffix or base.casefold() != family or volume_key != f'conf/{family}/{year}':
return None
prefix = HISTORICAL_WORKSHOP_TITLES.get((family, year))
if (prefix and title.casefold().startswith(prefix.casefold() + ',')
and re.search(r'\b' + str(year) + r'\b', title)):
url = 'https://aistats.org/other.html' if family == 'aistats' else 'https://www.learningtheory.org/'
return ('main', 'Historical primary series named Workshop; exact proceedings key, ordinal, title and event year verified.', url)
if (family == 'colt' and year == 2003
and title.startswith('Computational Learning Theory and Kernel Machines, 16th Annual Conference on Computational Learning Theory and 7th Kernel Workshop, COLT/Kernel 2003,')
and title.endswith('Proceedings')):
return ('proceedings_unspecified',
'Combined COLT 2003 and Kernel Workshop volume; per-paper section absent from DBLP XML. Do not infer a main or workshop track.',
'https://doi.org/10.1007/b12006')
return None
def scope(row,volume,through_year=2026):
fields=row['fields'];books=fields.get('booktitle',[])
if len(books)!=1:return None,'ambiguous_booktitle'
@@ -108,9 +75,7 @@ def scope(row,volume,through_year=2026):
if len(bibliographic)!=1 or not re.fullmatch(r'\d{4}',bibliographic[0]):return None,'ambiguous_bibliographic_year'
if int(bibliographic[0])!=year and not re.search(r'\b'+str(year)+r'\b',title):return None,'unverified_year_difference'
text=(suffix+' '+title).casefold();track='main'
historical = historical_track(family, base, suffix, volume['key'], year, title)
if historical:track=historical[0]
elif 'findings' in text:track='findings'
if 'findings' in text:track='findings'
elif 'shared task' in text:track='shared_task'
elif 'student research' in text or 'workshop' in text or 'wokshop' in text or base in ('ICCVW','EWSL'):track='workshop'
elif ('demo track' in text and ('industrial track' in text or 'applied data science track' in text)):track='proceedings_unspecified'
@@ -133,9 +98,6 @@ def scope(row,volume,through_year=2026):
if venue=='AAMAS' and year<2002:return None,'predecessor_not_aamas'
result = {'venue':venue,'venue_aliases':aliases,'year':year,'track':track,'bibliographic_year':int(bibliographic[0]),
'rule':family+':'+base,'proceedings_title':title,'edition_year_basis':year_basis}
if historical:
result['track_scope_note'] = historical[1]
result['track_scope_evidence_url'] = historical[2]
if venue=='MM' and track=='main':
# A main MM volume also includes doctoral, tutorials, companion papers
# and other sections. DBLP XML omits the per-paper TOC section.
+1
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@@ -0,0 +1 @@
"""Evidence-bearing human and explicit source annotations, independent of outcomes."""
+218
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@@ -0,0 +1,218 @@
"""Append-only tag/type assertions and explicit retractions; no inferred labels."""
import argparse
from contextlib import closing
from importlib.resources import files
import json
import re
from urllib.parse import urlparse
from paper_atlas.db.backend import database_arguments, inserted_id, open_read_connection, open_store
from paper_atlas.db.submissions import timestamp
TABLE = 'annotation_events'
MIGRATION = 'annotation_events_v1'
COLUMNS = ('id', 'request_id', 'paper_id', 'original_paper_id', 'kind', 'namespace',
'value', 'source_record_id', 'evidence_key', 'evidence_url', 'reason',
'actor', 'observed_at', 'retracts_id')
ACTIVE = '''a.retracts_id IS NULL AND NOT EXISTS
(SELECT 1 FROM annotation_events removed WHERE removed.retracts_id=a.id)'''
def available(conn):
if getattr(conn, 'postgres', False):
if hasattr(conn, 'has_table'):
return conn.has_table(TABLE)
return bool(conn.execute("SELECT 1 FROM information_schema.tables WHERE table_schema=current_schema() AND table_name=?", (TABLE,)).fetchone())
return bool(conn.execute("SELECT 1 FROM sqlite_master WHERE type='table' AND name=?", (TABLE,)).fetchone())
def _begin_write(conn):
if not getattr(conn, 'postgres', False) and not conn.in_transaction:
conn.execute('BEGIN IMMEDIATE')
def initialize(conn):
"""Explicit transactional schema extension; does not rescan or rewrite papers."""
_begin_write(conn)
exists = available(conn)
marker = conn.execute('SELECT 1 FROM schema_migrations WHERE name=?', (MIGRATION,)).fetchone()
if exists != bool(marker):
raise RuntimeError('Annotation table/upgrade marker mismatch; inspect before changing schema')
if exists:
result = conn.execute('SELECT * FROM annotation_events LIMIT 0')
description = result.cursor.description if getattr(conn, 'postgres', False) else result.description
if tuple(d[0] for d in description) != COLUMNS:
raise RuntimeError('Unexpected annotation schema')
return False
ddl = files('paper_atlas.db').joinpath('annotations.sql').read_text()
if getattr(conn, 'postgres', False):
ddl = re.sub(r'\bINTEGER\b', 'BIGINT', ddl)
ddl = re.sub(r'\bTEXT\b', 'TEXT COLLATE "C"', ddl)
ddl = ddl.replace('id BIGINT PRIMARY KEY', 'id BIGINT GENERATED BY DEFAULT AS IDENTITY PRIMARY KEY', 1)
for statement in ddl.split(';'):
if statement.strip():
conn.execute(statement)
conn.execute('INSERT INTO schema_migrations(name) VALUES(?)', (MIGRATION,))
return True
def _text(value, name, limit=512):
if not isinstance(value, str) or not value.strip() or len(value) > limit:
raise ValueError(name + ' must be nonempty text of at most ' + str(limit) + ' characters')
return value
def _id(value, name):
if type(value) is not int or value <= 0:
raise ValueError(name + ' must be a positive integer')
return value
def _url(value):
if value is not None:
_text(value, 'evidence_url', 4096)
parsed = urlparse(value)
if parsed.scheme not in ('https', 'http') or not parsed.hostname or parsed.username or parsed.password:
raise ValueError('evidence_url must be an HTTP(S) URL without credentials')
return value
def _require(conn):
if not available(conn) or not conn.execute('SELECT 1 FROM schema_migrations WHERE name=?', (MIGRATION,)).fetchone():
raise RuntimeError('Run paper-atlas annotate init explicitly before adding annotations')
def _row(row):
return dict(zip(COLUMNS, (row[i] for i in range(len(COLUMNS)))))
def _replay(conn, request_id, payload):
old = conn.execute('SELECT * FROM annotation_events WHERE request_id=?', (request_id,)).fetchone()
if old is None:
return None
old = _row(old)
if any(old[k] != value for k, value in payload.items()):
raise ValueError('request_id already identifies different annotation content')
return old['id']
def assert_annotation(conn, paper, kind, namespace, value, *, request_id, evidence_key,
reason, actor, evidence_url=None, source_record_id=None):
_begin_write(conn)
_require(conn)
paper = _id(paper, 'paper')
if kind not in ('tag', 'research_type'):
raise ValueError('kind must be tag or research_type')
_text(namespace, 'namespace', 128)
if not re.fullmatch(r'[a-z][a-z0-9_]*:[a-z][a-z0-9_.-]*', namespace):
raise ValueError('namespace must have an explicit source:scope')
payload = dict(original_paper_id=paper, kind=kind, namespace=namespace,
value=_text(value, 'value'), request_id=_text(request_id, 'request_id', 128),
source_record_id=source_record_id, evidence_key=_text(evidence_key, 'evidence_key', 256),
reason=_text(reason, 'reason', 8192), actor=_text(actor, 'actor', 256),
evidence_url=_url(evidence_url), retracts_id=None)
if source_record_id is not None:
_id(source_record_id, 'source_record_id')
replay = _replay(conn, request_id, payload)
if replay is not None:
return replay
if not conn.execute('SELECT 1 FROM papers WHERE id=?', (paper,)).fetchone():
raise ValueError('Existing canonical paper required; no automatic identity merge')
prefix = namespace.split(':', 1)[0]
if prefix != 'custom' and source_record_id is None:
raise ValueError('Platform annotations require their own source record')
if source_record_id is not None:
source = conn.execute('''SELECT r.paper_id,s.name FROM source_records r
JOIN sources s ON s.id=r.source_id WHERE r.id=?''', (source_record_id,)).fetchone()
if not source or source[0] != paper or (prefix != 'custom' and prefix != source[1]):
raise ValueError('Annotation source record/namespace must belong to this paper and platform')
payload.update(paper_id=paper, observed_at=timestamp())
fields = tuple(payload)
return inserted_id(conn, 'INSERT INTO annotation_events(' + ','.join(fields) + ') VALUES(' +
','.join('?' for _ in fields) + ')', tuple(payload[k] for k in fields))
def retract_annotation(conn, event, *, request_id, reason, actor, evidence_url=None, custom_only=False):
_begin_write(conn)
_require(conn)
event = _id(event, 'event')
payload = dict(request_id=_text(request_id, 'request_id', 128), retracts_id=event,
reason=_text(reason, 'reason', 8192), actor=_text(actor, 'actor', 256), evidence_url=_url(evidence_url))
target = conn.execute('SELECT * FROM annotation_events WHERE id=?', (event,)).fetchone()
if target is None or target[-1] is not None:
raise ValueError('Retraction must reference an existing assertion')
target = _row(target)
if custom_only and not target['namespace'].startswith('custom:'):
raise ValueError('Manual CLI cannot retract platform evidence')
replay = _replay(conn, request_id, payload)
if replay is not None:
return replay
if conn.execute('SELECT 1 FROM annotation_events WHERE retracts_id=?', (event,)).fetchone():
raise ValueError('Assertion already retracted; its history is retained')
payload.update({k: target[k] for k in ('paper_id', 'original_paper_id', 'kind', 'namespace', 'value', 'source_record_id', 'evidence_key')})
payload['observed_at'] = timestamp()
fields = tuple(payload)
return inserted_id(conn, 'INSERT INTO annotation_events(' + ','.join(fields) + ') VALUES(' +
','.join('?' for _ in fields) + ')', tuple(payload[k] for k in fields))
def observations(conn, paper, *, kind=None, history=False):
if not available(conn):
return []
where = ['a.paper_id=?']; params = [_id(paper, 'paper')]
if not history:
where.append(ACTIVE)
if kind is not None:
if kind not in ('tag', 'research_type'):
raise ValueError('Invalid annotation kind')
where.append('a.kind=?'); params.append(kind)
return [_row(r) for r in conn.execute('SELECT a.* FROM annotation_events a WHERE ' +
' AND '.join(where) + ' ORDER BY a.id', params)]
def main(argv=None, *, prog=None):
parser = argparse.ArgumentParser(prog=prog, description='显式初始化、追加或撤回带证据的自定义标签和研究类型')
actions = parser.add_subparsers(dest='action', required=True)
for action in ('init', 'assert', 'retract', 'list'):
p = actions.add_parser(action)
database_arguments(p)
if action in ('assert', 'retract'):
for field in ('request-id', 'reason', 'actor'):
p.add_argument('--' + field, required=True)
p.add_argument('--evidence-url')
if action in ('assert', 'list'):
p.add_argument('--paper', type=int, required=True)
p.add_argument('--kind', choices=('tag', 'research_type'), required=action == 'assert')
if action == 'assert':
for field in ('namespace', 'value', 'evidence-key'):
p.add_argument('--' + field, required=True)
p.add_argument('--source-record', type=int)
if action == 'retract':
p.add_argument('--event', type=int, required=True)
if action == 'list':
p.add_argument('--history', action='store_true')
args = parser.parse_args(argv)
if args.action == 'list':
with closing(open_read_connection(args.db, pg_service=args.pg_service, pg_schema=args.pg_schema)) as conn:
result = observations(conn, args.paper, kind=args.kind, history=args.history)
else:
if args.action == 'assert' and not args.namespace.startswith('custom:'):
parser.error('Manual CLI requires custom:* namespace; platform assertions use validated source APIs')
with closing(open_store(args.db, pg_service=args.pg_service, pg_schema=args.pg_schema).conn) as conn:
try:
if not getattr(conn, 'postgres', False):
conn.commit()
conn.execute('BEGIN IMMEDIATE')
if args.action == 'init':
result = {'initialized': initialize(conn)}
else:
kwargs = dict(request_id=args.request_id, reason=args.reason, actor=args.actor, evidence_url=args.evidence_url)
event = (assert_annotation(conn, args.paper, args.kind, args.namespace, args.value,
evidence_key=args.evidence_key, source_record_id=args.source_record, **kwargs)
if args.action == 'assert' else retract_annotation(conn, args.event, custom_only=True, **kwargs))
result = {'event_id': event}
conn.commit()
except BaseException:
conn.rollback()
raise
print(json.dumps(result, ensure_ascii=False, indent=2))
+15
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@@ -0,0 +1,15 @@
CREATE TABLE annotation_events (
id INTEGER PRIMARY KEY,
request_id TEXT NOT NULL UNIQUE,
paper_id INTEGER NOT NULL REFERENCES papers(id),
original_paper_id INTEGER NOT NULL,
kind TEXT NOT NULL CHECK(kind IN ('tag','research_type')),
namespace TEXT NOT NULL, value TEXT NOT NULL,
source_record_id INTEGER REFERENCES source_records(id),
evidence_key TEXT NOT NULL, evidence_url TEXT,
reason TEXT NOT NULL, actor TEXT NOT NULL, observed_at TEXT NOT NULL,
retracts_id INTEGER UNIQUE REFERENCES annotation_events(id),
CHECK(retracts_id IS NULL OR retracts_id<>id)
);
CREATE INDEX annotation_events_paper ON annotation_events(paper_id,kind,id);
CREATE INDEX annotation_events_label ON annotation_events(kind,namespace,value,paper_id);
+3
View File
@@ -55,6 +55,9 @@ class Store:
c.execute('UPDATE identifiers SET paper_id=? WHERE paper_id=?',(target,other))
c.execute('UPDATE source_records SET paper_id=? WHERE paper_id=?',(target,other))
c.execute('UPDATE submissions SET paper_id=? WHERE paper_id=?',(target,other))
from paper_atlas.curation.annotations import available
if available(c):
c.execute('UPDATE annotation_events SET paper_id=? WHERE paper_id=?', (target,other))
c.execute('INSERT INTO paper_tags SELECT ?,tag_id,source_record_id,evidence_key FROM paper_tags WHERE paper_id=? ON CONFLICT DO NOTHING',(target,other))
c.execute('DELETE FROM paper_tags WHERE paper_id=?',(other,))
c.execute('UPDATE paper_merges SET surviving_paper_id=? WHERE surviving_paper_id=?',(target,other))
+2 -2
View File
@@ -143,7 +143,7 @@ def migrate(db, service, out, *, schema='research', storage_path=None, min_free_
free_space(storage_path, min_free_gib)
control = schema + '_migration'
report = {'status': 'preflight', 'source': str(db), 'service': service, 'schema': schema,
'started_at': timestamp(), 'tables': {}, 'scope': 'All 21 business tables; FTS5 internals rebuilt as native PostgreSQL GIN.'}
'started_at': timestamp(), 'tables': {}, 'scope': 'All baseline business tables and recognized installed extensions; FTS5 rebuilt as native PostgreSQL GIN.'}
with Path(str(db) + '.maintenance.lock').open('a') as lock:
fcntl.flock(lock, fcntl.LOCK_EX | fcntl.LOCK_NB)
if Path(str(db) + '-wal').exists() and Path(str(db) + '-wal').stat().st_size:
@@ -240,7 +240,7 @@ def migrate(db, service, out, *, schema='research', storage_path=None, min_free_
JOIN pg_am am ON am.oid=ix.relam WHERE ns.nspname=%s AND ix.relname='papers_search_gin' ''', (stage,)).fetchone()
if search != ('gin', True, True, 'papers'):
raise ValueError('Native full-text index is not valid and ready')
for table in TABLES:
for table in plan:
pg.execute('ANALYZE ' + qualify(stage, table))
invalid = pg.execute('''SELECT count(*) FROM pg_constraint co JOIN pg_class cl ON cl.oid=co.conrelid
JOIN pg_namespace ns ON ns.oid=cl.relnamespace WHERE ns.nspname=%s AND NOT co.convalidated''', (stage,)).fetchone()[0]
+4 -2
View File
@@ -8,7 +8,9 @@ TABLES = ('sources', 'papers', 'identifiers', 'source_records', 'venues', 'editi
'submission_sources', 'submission_identifiers', 'decision_sources',
'submission_merges', 'decision_merges', 'schema_migrations', 'tags',
'paper_tags', 'match_candidates', 'paper_merges', 'ingest_runs')
OPTIONAL_TABLES = ('annotation_events',)
CHECKS = {
'annotation_events': ["kind IN ('tag','research_type')", 'retracts_id IS NULL OR retracts_id<>id'],
'venues': ["venue_type IN ('conference','journal','review_platform')"],
'edition_sources': ["status IN ('pending','running','complete','partial','blocked','unavailable','not_yet_published')"],
'decisions': ["status IN ('accepted','rejected','desk_rejected','withdrawn','under_review','unknown')"],
@@ -50,10 +52,10 @@ def quote(name):
def inspect(connection):
business = {name for schema, name, kind, *_ in connection.execute('PRAGMA table_list')
if schema == 'main' and kind == 'table' and not name.startswith('sqlite_')}
if business != set(TABLES):
if not set(TABLES) <= business or business - set(TABLES) - set(OPTIONAL_TABLES):
raise ValueError('Unexpected business tables: ' + repr(sorted(business ^ set(TABLES))))
result = {}
for table in TABLES:
for table in (*TABLES, *(name for name in OPTIONAL_TABLES if name in business)):
columns = [{'name': r[1], 'type': r[2].upper(), 'notnull': bool(r[3]),
'default': r[4], 'pk': r[5]}
for r in connection.execute('PRAGMA table_info(' + quote(table) + ')')]
+25 -1
View File
@@ -29,6 +29,8 @@ def main(argv=None, *, prog=None):
parser.add_argument('--pg-schema', help='Optional PostgreSQL schema override; otherwise use the configured search_path')
parser.add_argument('--query', help='Title/abstract search: FTS5 for SQLite, web-search syntax for PostgreSQL')
parser.add_argument('--paper',type=int,help='Paper ID; include sources, tags and submission history')
parser.add_argument('--research-type', help='Independent type filter as namespace=value; no type inferred from track')
parser.add_argument('--annotation-history', action='store_true', help='Include retraction evidence for --paper')
parser.add_argument('--tag', help='Filter as namespace=value, e.g. arxiv:category=cs.AI')
parser.add_argument('--venue', help='Conference acronym')
parser.add_argument('--year', type=int)
@@ -47,6 +49,8 @@ def main(argv=None, *, prog=None):
conn = sqlite3.connect(Path(args.db).resolve().as_uri()+'?mode=ro', uri=True)
conn.row_factory = sqlite3.Row
conn.execute('BEGIN') # One consistent read snapshot while ingestion continues.
from paper_atlas.curation.annotations import available, observations, ACTIVE
has_annotations = available(conn)
if args.stats:
result = {name:conn.execute('SELECT count(*) FROM '+name).fetchone()[0] for name in ('papers','source_records','submissions','decisions','tags','match_candidates')}
result['records_by_source'] = [dict(r) for r in conn.execute('SELECT s.name,count(r.id) AS imported_records FROM sources s LEFT JOIN source_records r ON r.source_id=s.id GROUP BY s.id ORDER BY s.name')]
@@ -69,8 +73,24 @@ def main(argv=None, *, prog=None):
where.append('p.id IN (SELECT rowid FROM papers_fts WHERE papers_fts MATCH ?)')
params.append(args.query)
if args.tag:
if '=' not in args.tag:
parser.error('--tag requires namespace=value')
namespace,value = args.tag.split('=',1)
where.append('EXISTS(SELECT 1 FROM paper_tags pt JOIN tags t ON t.id=pt.tag_id WHERE pt.paper_id=p.id AND t.namespace=? AND t.value=?)'); params.extend([namespace,value])
platform = 'EXISTS(SELECT 1 FROM paper_tags pt JOIN tags t ON t.id=pt.tag_id WHERE pt.paper_id=p.id AND t.namespace=? AND t.value=?)'
params.extend([namespace,value])
if has_annotations:
platform = '(' + platform + ' OR EXISTS(SELECT 1 FROM annotation_events a WHERE a.paper_id=p.id AND a.kind=\'tag\' AND a.namespace=? AND a.value=? AND ' + ACTIVE + '))'
params.extend([namespace,value])
where.append(platform)
if args.research_type:
if '=' not in args.research_type:
parser.error('--research-type requires namespace=value')
namespace,value = args.research_type.split('=',1)
if has_annotations:
where.append('EXISTS(SELECT 1 FROM annotation_events a WHERE a.paper_id=p.id AND a.kind=\'research_type\' AND a.namespace=? AND a.value=? AND ' + ACTIVE + ')')
params.extend([namespace,value])
else:
where.append('1=0')
if args.outcome:
where.append('p.id '+('IN' if args.outcome=='accepted' else 'NOT IN')+' ('+ACCEPTED_PAPERS+')')
if args.venue or args.year or args.status or args.track:
@@ -98,6 +118,10 @@ def main(argv=None, *, prog=None):
paper['known_acceptances']=known_acceptances(conn,row['id'])
paper['publication_outcome']='accepted' if paper['known_acceptances'] else 'no_known_acceptance'
if args.paper is not None:
paper['research_types'] = observations(conn, row['id'], kind='research_type')
paper['annotation_tags'] = observations(conn, row['id'], kind='tag')
if args.annotation_history:
paper['annotation_history'] = observations(conn, row['id'], history=True)
paper['tags'] = [dict(r) for r in conn.execute('SELECT t.namespace,t.value,pt.evidence_key FROM paper_tags pt JOIN tags t ON t.id=pt.tag_id WHERE pt.paper_id=?',(row['id'],))]
paper['sources'] = [dict(r) for r in conn.execute('SELECT s.name,r.external_id,r.url,r.title,r.abstract,r.retrieved_at FROM source_records r JOIN sources s ON s.id=r.source_id WHERE r.paper_id=?',(row['id'],))]
submissions = []
+1 -1
View File
@@ -21,5 +21,5 @@ include = ["paper_atlas*"]
exclude = ["tests*"]
[tool.setuptools.package-data]
"paper_atlas.db" = ["schema.sql"]
"paper_atlas.db" = ["schema.sql", "annotations.sql"]
"paper_atlas.resources" = ["venues.json"]
+227
View File
@@ -0,0 +1,227 @@
from contextlib import closing, redirect_stdout
import io
import json
import os
from pathlib import Path
import tempfile
import unittest
import uuid
from paper_atlas import querying
from paper_atlas.curation.annotations import (assert_annotation, available, initialize, main,
observations, retract_annotation)
from paper_atlas.db.backend import open_store
from paper_atlas.db.store import Store
from paper_atlas.postgres import schema
from paper_atlas.postgres.client import connect
from paper_atlas.postgres.migration import migrate
class AnnotationTests(unittest.TestCase):
def setUp(self):
self.tmp = tempfile.TemporaryDirectory(); self.addCleanup(self.tmp.cleanup)
self.db = Path(self.tmp.name) / 'sample.sqlite'
self.store = Store(self.db); self.addCleanup(self.store.conn.close)
self.c = self.store.conn
self.paper, self.record = self.store.record('fixture', 'one', 'https://example.org/one', 'First research', None, [])
self.other, self.other_record = self.store.record('fixture', 'two', 'https://example.org/two', 'Other research', None, [])
self.store.record_tags(self.paper, self.record, 'fixture', [{'namespace':'fixture:topic','value':'original'}])
self.c.commit()
def add(self, **changes):
args = dict(paper=self.paper, kind='tag', namespace='custom:topic', value='reading',
request_id='request-one', evidence_key='manual:reading', reason='Reviewed metadata', actor='reviewer')
args.update(changes)
return assert_annotation(self.c, **args)
def query(self, *args):
self.c.commit()
with redirect_stdout(io.StringIO()) as output:
querying.main(['--db', str(self.db), *map(str, args)])
return json.loads(output.getvalue())
def test_read_does_not_install_extension_and_write_requires_explicit_init(self):
self.assertFalse(available(self.c))
self.assertEqual(observations(self.c, self.paper), [])
with self.assertRaisesRegex(RuntimeError, 'init explicitly'):
self.add()
self.assertEqual(self.query('--research-type', 'custom:method=empirical'), [])
self.assertFalse(available(self.c))
self.assertEqual(len(schema.inspect(self.c)), 21)
def test_schema_upgrade_is_transactional_and_marker_mismatch_fails_closed(self):
self.assertTrue(initialize(self.c)); self.c.rollback()
self.assertFalse(available(self.c))
self.c.execute("INSERT INTO schema_migrations(name) VALUES('annotation_events_v1')")
with self.assertRaisesRegex(RuntimeError, 'mismatch'):
initialize(self.c)
self.c.rollback()
self.assertTrue(initialize(self.c)); self.assertFalse(initialize(self.c))
self.assertEqual(len(schema.inspect(self.c)), 22)
def test_unmarked_table_cannot_receive_assertions(self):
initialize(self.c)
self.c.execute("DELETE FROM schema_migrations WHERE name='annotation_events_v1'")
with self.assertRaisesRegex(RuntimeError, 'init explicitly'):
self.add()
self.assertEqual(self.c.execute('SELECT count(*) FROM annotation_events').fetchone()[0], 0)
def test_types_tags_and_platform_labels_are_independent_and_queryable(self):
initialize(self.c)
self.add()
self.add(kind='research_type', namespace='custom:topic', request_id='type', value='reading')
self.assertEqual(len(self.query('--tag', 'custom:topic=reading')), 1)
self.assertEqual(len(self.query('--research-type', 'custom:topic=reading')), 1)
self.assertEqual(len(self.query('--tag', 'fixture:topic=original')), 1)
detail = self.query('--paper', self.paper)[0]
self.assertEqual(len(detail['annotation_tags']), 1)
self.assertEqual(len(detail['research_types']), 1)
self.assertNotIn('annotation_history', detail)
self.assertEqual(detail['tags'][0]['namespace'], 'fixture:topic')
def test_repeated_request_is_idempotent_and_changed_content_fails(self):
initialize(self.c); event = self.add()
self.assertEqual(self.add(), event)
for change in ({'value':'different'}, {'kind':'research_type'}, {'reason':'changed'}, {'paper':self.other}):
with self.assertRaisesRegex(ValueError, 'different annotation'):
self.add(**change)
self.assertEqual(self.c.execute('SELECT count(*) FROM annotation_events').fetchone()[0], 1)
def test_retraction_keeps_original_and_other_assertions_of_same_label(self):
initialize(self.c); first = self.add(); second = self.add(request_id='second', evidence_key='independent')
kwargs = dict(request_id='retract', reason='No longer relevant', actor='reviewer')
removed = retract_annotation(self.c, first, **kwargs)
self.assertEqual(retract_annotation(self.c, first, **kwargs), removed)
self.assertEqual([r['id'] for r in observations(self.c, self.paper)], [second])
self.assertEqual(len(self.query('--paper', self.paper, '--annotation-history')[0]['annotation_history']), 3)
with self.assertRaisesRegex(ValueError, 'already retracted'):
retract_annotation(self.c, first, **{**kwargs,'request_id':'duplicate'})
with self.assertRaisesRegex(ValueError, 'existing assertion'):
retract_annotation(self.c, removed, **{**kwargs,'request_id':'nested'})
def test_source_assertions_require_matching_paper_and_platform(self):
initialize(self.c)
for change in ({'namespace':'fixture:type'}, {'namespace':'other:type','source_record_id':self.record},
{'namespace':'fixture:type','source_record_id':self.other_record}):
with self.assertRaises(ValueError):
self.add(**change)
event = self.add(kind='research_type', namespace='fixture:declared_type', source_record_id=self.record)
with self.assertRaisesRegex(ValueError, 'Manual CLI'):
retract_annotation(self.c, event, request_id='cannot', reason='x', actor='y', custom_only=True)
self.assertEqual(observations(self.c, self.paper)[0]['source_record_id'], self.record)
def test_platform_tag_refresh_preserves_both_custom_kinds(self):
initialize(self.c); self.add(); self.add(kind='research_type', request_id='type')
self.store.record_tags(self.paper, self.record, 'fixture', [{'namespace':'fixture:topic','value':'refreshed'}])
self.assertEqual(len(observations(self.c, self.paper)), 2)
self.assertEqual(len(self.query('--tag','fixture:topic=refreshed')), 1)
self.assertEqual(self.query('--tag','fixture:topic=original'), [])
def test_merge_preserves_retractions_evidence_and_original_paper_ids(self):
initialize(self.c); event = self.add(source_record_id=self.record)
removed = retract_annotation(self.c, event, request_id='withdraw', reason='corrected', actor='reviewer')
active = self.add(request_id='active', kind='research_type', value='survey')
self.store.merge(self.other, self.paper, 'Independently reviewed identity')
rows = observations(self.c, self.other, history=True)
self.assertEqual([r['id'] for r in rows], [event, removed, active])
self.assertEqual({r['original_paper_id'] for r in rows}, {self.paper})
self.assertEqual({r['paper_id'] for r in rows}, {self.other})
self.assertEqual([r['id'] for r in observations(self.c, self.other)], [active])
self.assertEqual(self.add(source_record_id=self.record), event) # exact retry survives canonical merge
self.assertEqual(self.c.execute('PRAGMA foreign_key_check').fetchall(), [])
def test_invalid_input_does_not_create_events(self):
initialize(self.c)
for change in ({'paper':True}, {'paper':999999}, {'kind':'main'}, {'namespace':'arxiv'},
{'namespace':'custom:topic;DROP'}, {'value':' '}, {'reason':''},
{'actor':''}, {'request_id':''}, {'evidence_key':''}, {'source_record_id':True},
{'evidence_url':'file:///etc/passwd'}, {'evidence_url':'https://user:secret@example.org/'}):
with self.subTest(change=change), self.assertRaises(ValueError):
self.add(**change)
self.assertEqual(self.c.execute('SELECT count(*) FROM annotation_events').fetchone()[0], 0)
def test_cli_manual_scope_and_complete_assert_retract_lifecycle(self):
with redirect_stdout(io.StringIO()):
main(['init','--db',str(self.db)])
main(['assert','--db',str(self.db),'--paper',str(self.paper),'--kind','research_type',
'--namespace','custom:method','--value','empirical','--evidence-key','manual:review',
'--request-id','cli-one','--reason','Read abstract','--actor','reviewer'])
self.assertEqual(len(self.query('--research-type','custom:method=empirical')), 1)
event = observations(self.c, self.paper)[0]['id']
with redirect_stdout(io.StringIO()):
main(['retract','--db',str(self.db),'--event',str(event),'--request-id','cli-two',
'--reason','Corrected classification','--actor','reviewer'])
self.assertEqual(self.query('--research-type','custom:method=empirical'), [])
with redirect_stdout(io.StringIO()) as out:
main(['list','--db',str(self.db),'--paper',str(self.paper),'--history'])
self.assertEqual(len(json.loads(out.getvalue())), 2)
@unittest.skipUnless(os.environ.get('PAPER_ATLAS_TEST_PG_SERVICE'), 'Requires approved remote PostgreSQL service')
class PostgreSQLAnnotationTests(unittest.TestCase):
def setUp(self):
self.service = os.environ['PAPER_ATLAS_TEST_PG_SERVICE']
self.target = 'pa_anno_' + uuid.uuid4().hex[:12]
self.tmp = tempfile.TemporaryDirectory(); self.addCleanup(self.tmp.cleanup)
self.db = Path(self.tmp.name) / 'source.sqlite'
self.s = Store(self.db)
self.paper, self.record = self.s.record('fixture','one','https://example.org','Paper',None,[])
self.s.conn.commit()
self.addCleanup(self.s.conn.close); self.addCleanup(self.cleanup)
def cleanup(self):
with connect(self.service) as c:
for name, in c.execute('SELECT nspname FROM pg_namespace WHERE starts_with(nspname,%s)', (self.target,)):
c.execute('DROP SCHEMA ' + schema.quote(name) + ' CASCADE')
def migrate(self):
self.s.conn.commit()
self.s.conn.close() # Freeze/checkpoint the fixture, just like a real source migration.
with redirect_stdout(io.StringIO()):
return migrate(self.db, self.service, Path(self.tmp.name)/'report.json', schema=self.target, min_free_gib=0)
def args(self, **changes):
a = dict(paper=self.paper,kind='research_type',namespace='custom:method',value='survey\x00and\x01',
request_id='native',evidence_key='manual',reason='Reviewed\x00evidence',actor='reviewer')
a.update(changes); return a
def test_native_schema_upgrade_roundtrip_retraction_and_queries(self):
self.migrate()
with closing(open_store(pg_service=self.service, pg_schema=self.target).conn) as c:
self.assertTrue(initialize(c)); self.assertFalse(initialize(c))
event = assert_annotation(c, **self.args()); c.commit()
self.assertEqual(assert_annotation(c, **self.args()), event)
self.assertEqual(observations(c,self.paper)[0]['value'], 'survey\x00and\x01')
c.commit()
with redirect_stdout(io.StringIO()) as out:
querying.main(['--pg-service',self.service,'--pg-schema',self.target,'--paper',str(self.paper)])
self.assertEqual(json.loads(out.getvalue())[0]['research_types'][0]['id'], event)
with closing(open_store(pg_service=self.service,pg_schema=self.target).conn) as c:
retract_annotation(c,event,request_id='removed',reason='Changed',actor='reviewer');c.commit()
self.assertEqual(observations(c,self.paper), [])
self.assertEqual(len(observations(c,self.paper,history=True)), 2)
def test_initialized_sqlite_extension_migrates_all_rows_hashes_and_identity(self):
initialize(self.s.conn)
event = assert_annotation(self.s.conn, **self.args())
retract_annotation(self.s.conn,event,request_id='retracted',reason='Corrected',actor='reviewer')
report = self.migrate()
self.assertEqual(len(report['tables']),22)
self.assertEqual(report['tables']['annotation_events']['source_rows'],2)
self.assertEqual(report['tables']['annotation_events']['source_sha256'],report['tables']['annotation_events']['target_sha256'])
with closing(open_store(pg_service=self.service,pg_schema=self.target).conn) as c:
new = assert_annotation(c, **self.args(request_id='after-migration'))
self.assertGreater(new,2); c.commit()
self.assertEqual(len(observations(c,self.paper,history=True)),3)
def test_native_upgrade_rollback_keeps_legacy_schema_usable(self):
self.migrate()
with closing(open_store(pg_service=self.service,pg_schema=self.target).conn) as c:
initialize(c); c.rollback()
self.assertFalse(available(c))
self.assertEqual(c.execute('SELECT count(*) FROM papers').fetchone()[0],1)
self.assertTrue(initialize(c))
with self.assertRaises(ValueError):
assert_annotation(c, **self.args(namespace='wrong:type',source_record_id=self.record))
self.assertEqual(c.execute('SELECT count(*) FROM annotation_events').fetchone()[0],0)
c.rollback()
+1 -64
View File
@@ -10,7 +10,7 @@ from unittest.mock import patch
from paper_atlas.collectors.dblp import XML_SHA
from paper_atlas.collectors.dblp_records import collect,identifiers,normalize_row,material_reason
from paper_atlas.collectors.dblp_scope import scope, HISTORICAL_WORKSHOP_TITLES
from paper_atlas.collectors.dblp_scope import scope
from paper_atlas.db.store import Store
from paper_atlas.ingestion.records import ingest_file
@@ -70,69 +70,6 @@ class DblpRecordTests(unittest.TestCase):
self.assertEqual(scope(self.row(),self.volume('kdd',2024))[1],'crossref_venue_conflict')
self.assertEqual(scope(self.row(year=2027),self.volume('aaai',2027))[1],'future_edition')
def test_historical_primary_series_workshop_names_require_exact_editions(self):
self.assertEqual(set(HISTORICAL_WORKSHOP_TITLES),
{('aistats',year) for year in [1995,1997,1999,2001,2003,2005]} |
{('colt',year) for year in [1988,1989,1990,1991]})
for (family,year),prefix in HISTORICAL_WORKSHOP_TITLES.items():
with self.subTest(family=family,year=year):
title=prefix+f', {family.upper()} {year}, Proceedings.'
volume=self.volume(family,year,title)
row=self.row(family,family.upper(),year)
if year==1995:
row['fields']['year']=['1996'];volume['fields']['year']=['1996']
edition,reason=scope(row,volume)
self.assertIsNone(reason);self.assertEqual(edition['track'],'main')
self.assertEqual(edition['year'],year)
self.assertIn('Historical primary series',edition['track_scope_note'])
record,reason=normalize_row(row,{volume['key']:volume},{family.upper()})
self.assertIsNone(reason);self.assertEqual(record['metadata']['track_scope_evidence_url'],edition['track_scope_evidence_url'])
self.assertEqual(record['metadata']['proceedings_title'],title)
if year==1995:self.assertEqual(record['metadata']['bibliographic_year'],1996)
def test_historical_exception_does_not_promote_affiliated_or_wrong_scope_workshops(self):
title=HISTORICAL_WORKSHOP_TITLES[('aistats',1995)]+', AISTATS 1995, Proceedings.'
for book,key,changed in [
('AISTATS','conf/aistats/1995w',title),
('AISTATS (Workshops)','conf/aistats/1995',title),
('AISTATS','conf/aistats/1995',title.replace('Fifth','Sixth')),
('AISTATS','conf/aistats/1995',title.replace('1995','1997'))]:
volume=self.volume('aistats',1995,changed);volume['key']=key
row=self.row('aistats',book,1995);row['fields']['crossref']=[key]
self.assertEqual(scope(row,volume)[0]['track'],'workshop')
volume=self.volume('aistats',2010,'Active Learning and Experimental Design workshop, In conjunction with AISTATS 2010')
volume['key']='conf/aistats/2010w'
row=self.row('aistats','AISTATS',2011);row['fields']['crossref']=[volume['key']]
self.assertEqual(scope(row,volume)[0]['track'],'workshop')
def test_combined_colt_kernel_volume_keeps_unknown_per_paper_track(self):
title='Computational Learning Theory and Kernel Machines, 16th Annual Conference on Computational Learning Theory and 7th Kernel Workshop, COLT/Kernel 2003, Washington, DC, USA, August 24-27, 2003, Proceedings'
volume=self.volume('colt',2003,title);row=self.row('colt','COLT',2003)
record,reason=normalize_row(row,{volume['key']:volume},{'COLT'})
self.assertIsNone(reason);self.assertEqual(record['track'],'proceedings_unspecified')
self.assertEqual(record['status'],'accepted')
self.assertIn('per-paper section absent',record['metadata']['track_scope_note'])
self.assertEqual(record['metadata']['track_scope_evidence_url'],'https://doi.org/10.1007/b12006')
volume['key']='conf/colt/2003w';row['fields']['crossref']=[volume['key']]
self.assertEqual(scope(row,volume)[0]['track'],'workshop')
def test_historical_scope_provenance_survives_file_ingestion(self):
title=HISTORICAL_WORKSHOP_TITLES[('colt',1988)]+', COLT 1988, Proceedings.'
row=self.row('colt','COLT',1988);volume=self.volume('colt',1988,title)
record,reason=normalize_row(row,{volume['key']:volume},{'COLT'})
self.assertIsNone(reason)
with tempfile.TemporaryDirectory() as tmp:
root=Path(tmp);path=root/'history.jsonl'
path.write_text(json.dumps(record)+'\n')
path.with_suffix('.manifest.json').write_text(json.dumps({'source':'dblp','count':1,'list_url':'https://doi.org/10.4230/dblp.xml.2026-11-01','file_sha256':hashlib.sha256(path.read_bytes()).hexdigest()}))
ingest_file(root/'sample.sqlite',path)
with closing(sqlite3.connect(root/'sample.sqlite')) as connection:
track=connection.execute('SELECT track FROM editions').fetchone()[0]
metadata=json.loads(connection.execute('SELECT metadata_json FROM source_records').fetchone()[0])
self.assertEqual(track,'main')
self.assertEqual(metadata['track_scope_evidence_url'],'https://www.learningtheory.org/')
self.assertEqual(metadata['proceedings_title'],title)
def test_only_own_identifier_links_are_used_and_ambiguity_is_preserved(self):
own,ambiguous=identifiers({'ee':['https://doi.org/10.1234/published','https://doi.org/10.48550/arXiv.2401.00001','https://openreview.net/forum?id=realForum'],
'cite':['https://doi.org/10.9999/reference']})