lllin000_PaperForge/tests/test_layer4_gateway_commands.py
LLLin000 c534e481c7 fix: close 4 review gaps — registry, body/object-unit schemas, compat vector arm
Changes:
- Add paper-lookup, content-discovery, scoped-fetch to command registry
- Add unit_kind column to body_units schema (DEFAULT 'body')
- Replace object_units schema: object_role -> object_kind, object_label,
  caption_text, nearby_body_text; drop unit_text, drop object_role
- Bump schema version to 3 with deterministic drop/recreate migration for
  derived tables (body_units, body_units_fts, object_units)
- Update _upsert_body_units / _upsert_object_units for new columns
- Update build_object_units to emit object_kind, object_label, caption_text,
  nearby_body_text fields
- Add vector secondary arm to _run_compat_content_discovery: runs paper_fts
  primary, conditionally adds vector_retrieve secondary when vector is healthy
- Add/fix tests for schema columns, builder output, registry, and compat
  content-discovery vector-secondary path
2026-07-05 15:13:43 +08:00

476 lines
16 KiB
Python

"""Tests for Layer 4 gateway command routing (Task 5).
Validates that ``route_gateway()`` dispatches each intent to the correct
real data source and surfaces ``route_explanation`` in the result data.
"""
from __future__ import annotations
import json
import sqlite3
from argparse import Namespace
from pathlib import Path
from paperforge.commands import (
content_discovery,
paper_lookup,
paper_navigation,
scoped_fetch,
)
from paperforge.memory.db import get_connection, get_memory_db_path
from paperforge.memory.schema import ensure_schema
from paperforge.retrieval.gateway import (
_body_units_fts_exists,
route_gateway,
)
# ---------------------------------------------------------------------------
# Helpers — populate test databases matching the real schema
# ---------------------------------------------------------------------------
def _make_populated_db(tmp_path: Path) -> Path:
"""Create a minimal paperforge.db with papers + body_unit FTS content."""
db_path = get_memory_db_path(tmp_path)
db_path.parent.mkdir(parents=True, exist_ok=True)
conn = sqlite3.connect(str(db_path))
conn.row_factory = sqlite3.Row
conn.execute("PRAGMA journal_mode=WAL;")
conn.execute("PRAGMA foreign_keys=ON;")
ensure_schema(conn)
# Insert a paper row
conn.execute(
"""INSERT INTO papers
(zotero_key, citation_key, title, year, doi, journal, first_author,
authors_json, abstract, domain, collection_path, collections_json,
has_pdf, ocr_status, deep_reading_status, lifecycle, next_step,
impact_factor)
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)""",
(
"TST001",
"Smith2024",
"Delirium Prevention in ICU Patients",
"2024",
"10.1234/delirium",
"Critical Care Medicine",
"Smith",
'["Smith", "Jones"]',
"Delirium is a common complication in ICU patients...",
"ICU",
"",
"[]",
1,
"done",
"pending",
"active",
"deep-read",
5.2,
),
)
# Insert an alias for DOI lookup
conn.execute(
"INSERT INTO paper_aliases (paper_id, alias, alias_norm, alias_type) VALUES (?, ?, ?, ?)",
("TST001", "10.1234/delirium", "101234delirium", "doi"),
)
# Insert body units
conn.execute(
"""INSERT INTO body_units
(unit_id, paper_id, section_path, unit_text,
page_span_json, block_span_json, token_estimate,
indexable, veto_reason, quality_hints_json)
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)""",
(
"TST001:body:sec:intro:1-b1:2-b3",
"TST001",
"Introduction",
"Delirium prevention strategies include early mobilization and reducing sedation.",
json.dumps([1, 2]),
json.dumps([[1, "b1"], [2, "b3"]]),
50,
1,
"",
"[]",
),
)
conn.execute(
"""INSERT INTO body_units
(unit_id, paper_id, section_path, unit_text,
page_span_json, block_span_json, token_estimate,
indexable, veto_reason, quality_hints_json)
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)""",
(
"TST001:body:sec:methods:3-b4:5-b7",
"TST001",
"Methods",
"We randomized 200 patients to early mobilization vs standard care.",
json.dumps([3, 5]),
json.dumps([[3, "b4"], [5, "b7"]]),
30,
1,
"",
"[]",
),
)
conn.commit()
# Populate paper_fts
conn.execute(
"""INSERT INTO paper_fts(rowid, zotero_key, citation_key, title, first_author,
authors_json, abstract, journal, domain, collection_path, collections_json)
SELECT rowid, zotero_key, citation_key, title, first_author,
authors_json, abstract, journal, domain, collection_path, collections_json
FROM papers"""
)
conn.commit()
# Populate body_units_fts
conn.execute(
"""INSERT INTO body_units_fts(rowid, unit_id, paper_id, section_path, unit_text)
SELECT rowid, unit_id, paper_id, section_path, unit_text FROM body_units"""
)
conn.commit()
# Store manifest
manifest = {
"paper_id": "TST001",
"retrieval_policy_version": "l4.body.v1",
"body_unit_count": 2,
"built_at": "2025-01-01T00:00:00Z",
}
conn.execute(
"INSERT OR REPLACE INTO meta (key, value) VALUES (?, ?)",
("manifest:TST001", json.dumps(manifest)),
)
conn.commit()
conn.close()
return db_path
def _make_paper_only_db(tmp_path: Path) -> Path:
"""Create a DB with only paper_fts (no body_units_fts)."""
db_path = get_memory_db_path(tmp_path)
db_path.parent.mkdir(parents=True, exist_ok=True)
conn = sqlite3.connect(str(db_path))
conn.row_factory = sqlite3.Row
conn.execute("PRAGMA journal_mode=WAL;")
conn.execute("PRAGMA foreign_keys=ON;")
ensure_schema(conn)
conn.execute(
"""INSERT INTO papers
(zotero_key, citation_key, title, year, doi, journal, first_author,
authors_json, abstract, domain, collection_path, collections_json,
has_pdf, ocr_status, deep_reading_status, lifecycle, next_step,
impact_factor)
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)""",
(
"TST002",
"Johnson2023",
"Sedation Protocols in the ICU",
"2023",
"10.1234/sedation",
"Intensive Care Medicine",
"Johnson",
'["Johnson"]',
"Sedation is critical in ICU management...",
"ICU",
"",
"[]",
1,
"pending",
"pending",
"active",
"deep-read",
4.1,
),
)
conn.commit()
conn.execute(
"""INSERT INTO paper_fts(rowid, zotero_key, citation_key, title, first_author,
authors_json, abstract, journal, domain, collection_path, collections_json)
SELECT rowid, zotero_key, citation_key, title, first_author,
authors_json, abstract, journal, domain, collection_path, collections_json
FROM papers"""
)
conn.commit()
conn.close()
return db_path
def _make_structure_tree(tmp_path: Path, paper_id: str) -> Path:
"""Create a mock structure-tree.json for a paper."""
ocr_root = tmp_path / "System" / "PaperForge" / "ocr" / paper_id / "index"
ocr_root.mkdir(parents=True, exist_ok=True)
tree = {
"paper_id": paper_id,
"nodes": [
{
"node_id": "sec:intro",
"kind": "section",
"title": "Introduction",
"level": 1,
"section_path": ["Introduction"],
"page_span": [1, 2],
},
{
"node_id": "sec:methods",
"kind": "section",
"title": "Methods",
"level": 1,
"section_path": ["Methods"],
"page_span": [3, 5],
},
],
}
(ocr_root / "structure-tree.json").write_text(
json.dumps(tree, ensure_ascii=False), encoding="utf-8"
)
return ocr_root
# ---------------------------------------------------------------------------
# paper-lookup intent
# ---------------------------------------------------------------------------
def test_paper_lookup_returns_results_when_db_has_match(tmp_path):
_make_populated_db(tmp_path)
result = route_gateway(tmp_path, "paper-lookup", "Smith 2024", json_mode=True)
assert result.ok
assert result.data["intent"] == "paper-lookup"
assert len(result.data["results"]) > 0
assert "route_explanation" in result.data
assert result.data["route_explanation"]["primary_arm"] == "lookup_paper"
def test_paper_lookup_returns_empty_when_no_match(tmp_path):
_make_populated_db(tmp_path)
result = route_gateway(
tmp_path, "paper-lookup", "Nonexistent Author 2099", json_mode=True
)
assert result.ok
assert len(result.data["results"]) == 0
assert result.data["route_explanation"]["matched"] is False
def test_paper_lookup_fails_gracefully_without_db(tmp_path):
result = route_gateway(tmp_path, "paper-lookup", "Smith 2024", json_mode=True)
assert not result.ok
assert "route_explanation" in result.data
# ---------------------------------------------------------------------------
# content-discovery intent
# ---------------------------------------------------------------------------
def test_content_discovery_prefers_body_units_fts_when_present(tmp_path):
_make_populated_db(tmp_path)
result = route_gateway(
tmp_path, "content-discovery", "delirium prevention", json_mode=True, limit=5
)
assert result.ok
assert result.data["intent"] == "content-discovery"
assert result.data["route_explanation"]["primary_arm"] == "body_units_fts"
assert result.data["route_explanation"]["compatibility_mode"] is False
assert "results" in result.data
def test_paper_navigation_reads_structure_tree_when_present(tmp_path):
_make_populated_db(tmp_path)
_make_structure_tree(tmp_path, "TST001")
result = route_gateway(tmp_path, "paper-navigation", "10.1234/delirium", json_mode=True)
assert result.ok
assert result.data["intent"] == "paper-navigation"
assert result.data["mode"] == "structure_tree"
assert "nodes" in result.data
assert result.data["route_explanation"]["primary_arm"] == "structure_tree"
assert result.data["route_explanation"]["fallback"] is False
def test_content_discovery_returns_body_unit_matches(tmp_path):
_make_populated_db(tmp_path)
result = route_gateway(
tmp_path, "content-discovery", "delirium", json_mode=True, limit=5
)
assert result.ok
assert len(result.data["results"]) > 0
for r in result.data["results"]:
assert "unit_id" in r
assert "unit_text" in r
assert "section_path" in r
def test_content_discovery_falls_back_to_paper_fts(tmp_path):
_make_paper_only_db(tmp_path)
result = route_gateway(
tmp_path, "content-discovery", "sedation", json_mode=True, limit=5
)
assert result.ok
assert result.data["route_explanation"]["primary_arm"] == "paper_fts"
assert result.data["route_explanation"]["compatibility_mode"] is True
assert len(result.data["results"]) > 0
def test_content_discovery_fails_gracefully_without_db(tmp_path):
result = route_gateway(
tmp_path, "content-discovery", "delirium", json_mode=True, limit=5
)
assert not result.ok
assert "route_explanation" in result.data
# ---------------------------------------------------------------------------
# paper-navigation intent
def test_paper_navigation_returns_not_found_without_db(tmp_path):
result = route_gateway(tmp_path, "paper-navigation", "ABCD1234", json_mode=True)
assert not result.ok
assert result.data["mode"] == "not_found"
# ---------------------------------------------------------------------------
# scoped-fetch intent
# ---------------------------------------------------------------------------
def test_scoped_fetch_returns_body_units_for_paper(tmp_path):
_make_populated_db(tmp_path)
result = route_gateway(tmp_path, "scoped-fetch", "Smith 2024", json_mode=True)
assert result.ok
assert result.data["intent"] == "scoped-fetch"
assert len(result.data["body_units"]) > 0
assert "manifest" in result.data
assert result.data["route_explanation"]["primary_arm"] == "body_units"
def test_scoped_fetch_by_doi(tmp_path):
_make_populated_db(tmp_path)
result = route_gateway(tmp_path, "scoped-fetch", "10.1234/delirium", json_mode=True)
assert result.ok
assert len(result.data["body_units"]) > 0
def test_scoped_fetch_empty_for_unknown_paper(tmp_path):
_make_populated_db(tmp_path)
result = route_gateway(
tmp_path, "scoped-fetch", "Unknown Author 1999", json_mode=True
)
assert not result.ok
assert len(result.data["body_units"]) == 0
# ---------------------------------------------------------------------------
# Command integration tests (exercise the CLI entry points)
# ---------------------------------------------------------------------------
def test_paper_lookup_command_registered_and_json(tmp_path):
args = Namespace(vault_path=tmp_path, query="Smith 2021", json=True, limit=5)
exit_code = paper_lookup.run(args)
assert exit_code in {0, 1}
def test_content_discovery_command_runs(tmp_path):
args = Namespace(
vault_path=tmp_path, query="delirium prevention", json=True, limit=5
)
exit_code = content_discovery.run(args)
assert exit_code in {0, 1}
def test_paper_navigation_command_runs(tmp_path):
args = Namespace(
vault_path=tmp_path, query="10.1234/test-doi-here", json=True
)
exit_code = paper_navigation.run(args)
assert exit_code in {0, 1}
def test_scoped_fetch_command_runs(tmp_path):
args = Namespace(vault_path=tmp_path, query="Smith 2021", json=False, limit=3)
exit_code = scoped_fetch.run(args)
assert exit_code in {0, 1}
# ---------------------------------------------------------------------------
# Helper unit tests
# ---------------------------------------------------------------------------
def test_body_units_fts_exists_returns_true_when_populated(tmp_path):
_make_populated_db(tmp_path)
assert _body_units_fts_exists(tmp_path) is True
def test_body_units_fts_exists_returns_false_without_db(tmp_path):
assert _body_units_fts_exists(tmp_path) is False
def test_body_units_fts_exists_returns_false_no_body_units(tmp_path):
_make_paper_only_db(tmp_path)
assert _body_units_fts_exists(tmp_path) is False
def test_unsupported_intent_raises(tmp_path):
import pytest
with pytest.raises(ValueError, match="Unsupported Layer 4 intent"):
route_gateway(tmp_path, "unknown-intent", "query", json_mode=True)
# ---------------------------------------------------------------------------
# route_explanation contract
# ---------------------------------------------------------------------------
def test_all_intents_surface_route_explanation(tmp_path):
_make_populated_db(tmp_path)
_make_structure_tree(tmp_path, "TST001")
for intent, query in [
("paper-lookup", "Smith 2024"),
("content-discovery", "delirium"),
("paper-navigation", "10.1234/delirium"),
("scoped-fetch", "Smith 2024"),
]:
result = route_gateway(tmp_path, intent, query, json_mode=True)
# Even failing results should have route_explanation
assert "route_explanation" in result.data, (
f"{intent} missing route_explanation"
)
assert "primary_arm" in result.data["route_explanation"], (
f"{intent} missing primary_arm"
)
def test_command_registry_contains_gateway_commands():
from paperforge.commands import _COMMAND_REGISTRY
for name in ("paper-lookup", "content-discovery", "scoped-fetch"):
assert name in _COMMAND_REGISTRY, f"registry missing {name}"
def test_compat_content_discovery_surfaces_route_explanation_with_vector_secondary(tmp_path):
"""Compat mode surfaces paper_fts primary + vector secondary when available."""
from paperforge.embedding import get_embed_status
_make_paper_only_db(tmp_path)
result = route_gateway(tmp_path, "content-discovery", "Johnson", json_mode=True)
assert result.ok
route_exp = result.data["route_explanation"]
assert route_exp["primary_arm"] == "paper_fts"
assert route_exp.get("compatibility_mode") is True
# Vector may or may not be available; verify the response shape either way
if "secondary_arm" in route_exp:
assert route_exp["secondary_arm"] == "vector_retrieve"
# When vector is available, vector_results should be populated
if result.data.get("vector_results") is not None:
assert isinstance(result.data["vector_results"], list)
else:
# vector_results is None when vector is unavailable — clean fallback
assert result.data.get("vector_results") is None
assert len(result.data["results"]) > 0