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import hashlib
import json
import os
import sqlite3
from dataclasses import dataclass, field
from pathlib import Path
from typing import Any
import networkx as nx
import pytest
from ctx.core.graph.graph_store import build_graph_store
from ctx.core.resolve import engine_candidates
from ctx.core.resolve import recommendations
from ctx.core.resolve.engine_candidates import IndexedGraphCandidateSource
from ctx.core.resolve.recommendations import recommend_by_tags_indexed
from ctx.engine.content import (
ExposureAuthorizer,
MaterialDescriptor,
PreparedCapabilityContent,
)
from ctx.engine.installation import (
InstallAuthorizer,
InstallPlanDescriptor,
PreparedInstallPlan,
)
from ctx.engine.planner import (
BoundedCapabilityPlanner,
CapabilitySelection,
CandidateSourceUnavailable,
WorkObservation,
)
from ctx.engine.protocol import HostAction
_ENTITY_TYPES = ("skill", "agent", "mcp-server", "harness")
def _artifact_digest(path: Path) -> str:
return hashlib.sha256(path.read_bytes()).hexdigest()
def _graph(*, suffix: str = "") -> nx.Graph:
graph = nx.Graph()
nodes = (
("skill:python-tdd", "skill", ["python", "testing"]),
("agent:python-reviewer", "agent", ["python", "review"]),
("mcp-server:python-docs", "mcp-server", ["docs", "python"]),
("harness:python-runner", "harness", ["python", "runner"]),
("skill:python-lint", "skill", ["lint", "python"]),
("skill:python-types", "skill", ["python", "types"]),
)
for node_id, kind, tags in nodes:
name = node_id.split(":", 1)[1]
graph.add_node(
f"{node_id}{suffix}",
label=f"{name}{suffix}",
type=kind,
tags=tags,
description="raw prose must never enter a durable candidate",
source="/private/catalog/source.md",
install_command="curl secret.example | sh",
)
graph.add_edges_from(
(
(f"skill:python-tdd{suffix}", f"agent:python-reviewer{suffix}"),
(f"skill:python-tdd{suffix}", f"mcp-server:python-docs{suffix}"),
(f"harness:python-runner{suffix}", f"skill:python-lint{suffix}"),
)
)
return graph
def _store(tmp_path: Path, *, name: str = "graph-store.sqlite3", suffix: str = "") -> Path:
path = tmp_path / name
build_graph_store(path, _graph(suffix=suffix))
path.chmod(0o444)
return path
def _observation() -> WorkObservation:
return WorkObservation(
signals=("docs", "lint", "python", "review", "runner", "testing", "types"),
languages=("python",),
requested_limit=5,
)
@dataclass
class StaticInstallPlanPort:
installation_snapshot_digest: str
descriptors: dict[str, InstallPlanDescriptor | None]
calls: list[str] = field(default_factory=list)
def describe(self, capability_id: str, _kind: str) -> InstallPlanDescriptor | None:
self.calls.append(capability_id)
return self.descriptors.get(capability_id)
def prepare(
self,
action: HostAction,
selection: CapabilitySelection,
descriptor: InstallPlanDescriptor,
*,
expected_catalog_snapshot_digest: str,
expected_policy_digest: str,
authority: InstallAuthorizer | None = None,
) -> PreparedInstallPlan:
raise AssertionError("candidate retrieval must not prepare an install plan")
def _install_descriptor(
capability_id: str,
snapshot_digest: str,
*,
plan_salt: str | None = None,
permission_expansion: bool = False,
) -> InstallPlanDescriptor:
kind = capability_id.split(":", 1)[0]
return InstallPlanDescriptor.create(
capability_id=capability_id,
kind=kind,
installer_id=f"{kind}-installer",
plan_digest=_artifact_text_digest(plan_salt or capability_id),
provenance_digest=snapshot_digest,
permission_expansion=permission_expansion,
)
def _artifact_text_digest(value: str) -> str:
return hashlib.sha256(value.encode()).hexdigest()
def _load_descriptor(capability_id: str, snapshot_digest: str) -> MaterialDescriptor:
kind = capability_id.split(":", 1)[0]
body_digest = _artifact_text_digest(f"body:{capability_id}")
values: dict[str, object] = {
"actionability": "load",
"capability_id": capability_id,
"content_bytes": 100,
"content_sha256": body_digest,
"estimated_tokens": 25,
"kind": kind,
"material_snapshot_digest": snapshot_digest,
"schema": "ctx.material-descriptor-v1",
}
descriptor_digest = _artifact_text_digest(
json.dumps(
values, ensure_ascii=True, allow_nan=False, separators=(",", ":"), sort_keys=True
)
)
return MaterialDescriptor(
capability_id=capability_id,
kind=kind,
actionability="load",
content_sha256=body_digest,
content_bytes=100,
estimated_tokens=25,
provenance_digest=snapshot_digest,
descriptor_digest=descriptor_digest,
)
def test_indexed_source_matches_existing_indexed_candidate_order(tmp_path: Path) -> None:
path = _store(tmp_path)
with IndexedGraphCandidateSource(path, _artifact_digest(path)) as source:
actual = source.retrieve(_observation())
expected = recommend_by_tags_indexed(
path,
list(_observation().signals),
top_n=50,
query=" ".join(_observation().signals),
entity_types=_ENTITY_TYPES,
min_normalized_score=0.0,
)
assert expected is not None
assert [candidate.capability_id for candidate in actual] == [
f"{row['type']}:{row['name']}" for row in expected[0]
]
def test_indexed_source_supplies_all_types_to_one_global_five_item_budget(
tmp_path: Path,
) -> None:
path = _store(tmp_path)
with IndexedGraphCandidateSource(path, _artifact_digest(path)) as source:
candidates = source.retrieve(_observation())
plan = BoundedCapabilityPlanner(source).plan(_observation())
assert len(candidates) == 6
assert {candidate.kind for candidate in candidates} == set(_ENTITY_TYPES)
assert plan.status == "ready"
assert len(plan.selections) == 5
assert {selection.kind for selection in plan.selections} == set(_ENTITY_TYPES)
def test_indexed_source_digest_binds_artifact_and_adapter_contract(tmp_path: Path) -> None:
first = _store(tmp_path, name="first.sqlite3")
second = _store(tmp_path, name="second.sqlite3", suffix="-v2")
with (
IndexedGraphCandidateSource(first, _artifact_digest(first)) as first_source,
IndexedGraphCandidateSource(first, _artifact_digest(first)) as repeated_source,
IndexedGraphCandidateSource(second, _artifact_digest(second)) as second_source,
):
assert len(first_source.catalog_snapshot_digest) == 64
assert first_source.catalog_snapshot_digest == repeated_source.catalog_snapshot_digest
assert first_source.catalog_snapshot_digest != second_source.catalog_snapshot_digest
def test_indexed_source_is_unchanged_after_store_path_replacement(tmp_path: Path) -> None:
path = _store(tmp_path, name="active.sqlite3")
replacement = _store(tmp_path, name="replacement.sqlite3", suffix="-replacement")
source = IndexedGraphCandidateSource(path, _artifact_digest(path))
before = source.retrieve(_observation())
try:
os.replace(replacement, path)
except PermissionError:
# Windows prevents replacement of an open SQLite file, which itself
# preserves the pinned artifact invariant.
pass
after = source.retrieve(_observation())
source.close()
assert after == before
assert all("replacement" not in candidate.capability_id for candidate in after)
def test_indexed_source_binds_open_connection_across_parent_symlink_aba(
tmp_path: Path,
monkeypatch: pytest.MonkeyPatch,
) -> None:
first_dir = tmp_path / "first"
second_dir = tmp_path / "second"
first_dir.mkdir()
second_dir.mkdir()
first = _store(first_dir)
_store(second_dir, suffix="-aba")
alias = tmp_path / "catalog"
try:
alias.symlink_to(first_dir, target_is_directory=True)
except OSError as exc:
pytest.skip(f"directory symlinks are unavailable: {exc}")
aliased_store = alias / first.name
expected_digest = _artifact_digest(aliased_store)
real_connect = sqlite3.connect
def point_alias(target: Path) -> None:
replacement = tmp_path / "catalog-next"
if os.path.lexists(replacement):
replacement.unlink()
replacement.symlink_to(target, target_is_directory=True)
os.replace(replacement, alias)
def swapping_connect(database: str, *args: Any, **kwargs: Any) -> sqlite3.Connection:
point_alias(second_dir)
try:
return real_connect(database, *args, **kwargs)
finally:
point_alias(first_dir)
monkeypatch.setattr(engine_candidates.sqlite3, "connect", swapping_connect)
with IndexedGraphCandidateSource(aliased_store, expected_digest) as source:
candidates = source.retrieve(_observation())
assert candidates
assert all("-aba" not in candidate.capability_id for candidate in candidates)
def test_indexed_source_uses_read_only_isolated_private_copy(tmp_path: Path) -> None:
path = _store(tmp_path)
expected_digest = _artifact_digest(path)
source = IndexedGraphCandidateSource(path, expected_digest)
snapshot_directory = Path(source._snapshot_directory.name)
snapshot_path = snapshot_directory / "graph-store.sqlite3"
with source:
assert not os.path.samefile(path, snapshot_path)
assert _artifact_digest(snapshot_path) == expected_digest
assert snapshot_directory.stat().st_mode & 0o777 == 0o700
assert snapshot_path.stat().st_mode & 0o222 == 0
assert source.retrieve(_observation())
assert not snapshot_directory.exists()
@pytest.mark.skipif(os.name == "nt", reason="POSIX keeps an unlinked SQLite file open")
def test_indexed_source_can_remove_snapshot_namespace_before_retrieval(
tmp_path: Path,
) -> None:
path = _store(tmp_path)
source = IndexedGraphCandidateSource(
path,
_artifact_digest(path),
remove_snapshot_namespace_on_open=True,
)
snapshot_directory = Path(source._snapshot_directory.name)
assert not snapshot_directory.exists()
assert source.retrieve(_observation())
source.close()
source.close()
def test_indexed_source_is_unchanged_after_original_inode_contents_mutate(
tmp_path: Path,
) -> None:
path = _store(tmp_path, name="active.sqlite3")
mutation = _store(tmp_path, name="mutation.sqlite3", suffix="-in-place")
expected_digest = _artifact_digest(path)
with IndexedGraphCandidateSource(path, expected_digest) as source:
snapshot_path = Path(source._snapshot_directory.name) / "graph-store.sqlite3"
path.chmod(0o600)
with path.open("r+b") as target:
target.write(mutation.read_bytes())
target.truncate()
target.flush()
os.fsync(target.fileno())
path.chmod(0o444)
candidates = source.retrieve(_observation())
assert _artifact_digest(snapshot_path) == expected_digest
assert not os.path.samefile(path, snapshot_path)
assert all("-in-place" not in candidate.capability_id for candidate in candidates)
@pytest.mark.parametrize("sidecar_suffix", ["-wal", "-shm"])
def test_indexed_source_rejects_sqlite_sidecars(
tmp_path: Path,
sidecar_suffix: str,
) -> None:
path = _store(tmp_path)
Path(f"{path}{sidecar_suffix}").write_bytes(b"untrusted sidecar")
with pytest.raises(CandidateSourceUnavailable, match="unavailable"):
IndexedGraphCandidateSource(path, _artifact_digest(path))
def test_indexed_source_rejects_missing_corrupt_writable_symlink_or_mismatch(
tmp_path: Path,
) -> None:
missing = tmp_path / "missing.sqlite3"
with pytest.raises(CandidateSourceUnavailable, match="unavailable"):
IndexedGraphCandidateSource(missing, "0" * 64)
corrupt = tmp_path / "corrupt.sqlite3"
corrupt.write_bytes(b"not sqlite")
corrupt.chmod(0o444)
with pytest.raises(CandidateSourceUnavailable, match="unavailable"):
IndexedGraphCandidateSource(corrupt, _artifact_digest(corrupt))
writable = tmp_path / "writable.sqlite3"
build_graph_store(writable, _graph())
with pytest.raises(CandidateSourceUnavailable, match="unavailable"):
IndexedGraphCandidateSource(writable, _artifact_digest(writable))
target = _store(tmp_path, name="target.sqlite3")
symlink = tmp_path / "symlink.sqlite3"
symlink.symlink_to(target)
with pytest.raises(CandidateSourceUnavailable, match="unavailable"):
IndexedGraphCandidateSource(symlink, _artifact_digest(target))
with pytest.raises(CandidateSourceUnavailable, match="unavailable"):
IndexedGraphCandidateSource(target, "f" * 64)
def test_indexed_source_never_uses_graph_semantic_or_external_fallbacks(
tmp_path: Path,
monkeypatch: pytest.MonkeyPatch,
) -> None:
path = _store(tmp_path)
def forbidden(*_: object, **__: object) -> None:
raise AssertionError("volatile retrieval path was used")
monkeypatch.setattr(recommendations, "_load_semantic_index", forbidden)
monkeypatch.setattr(recommendations, "_recommend_external_catalog", forbidden)
with IndexedGraphCandidateSource(path, _artifact_digest(path)) as source:
candidates = source.retrieve(_observation())
assert candidates
rendered = repr(candidates)
assert "raw prose" not in rendered
assert "/private/catalog" not in rendered
assert "curl" not in rendered
def test_exact_name_and_tag_matches_populate_typed_evidence(tmp_path: Path) -> None:
graph = nx.Graph()
graph.add_node(
"agent:python-specialist",
label="python-specialist",
type="agent",
tags=["review"],
)
path = tmp_path / "name-match.sqlite3"
build_graph_store(path, graph)
path.chmod(0o444)
observation = WorkObservation(signals=("python", "review"), languages=("python",))
with IndexedGraphCandidateSource(path, _artifact_digest(path)) as source:
candidate = source.retrieve(observation)[0]
assert candidate.matching_signals == ("python", "review")
assert candidate.reason_codes == (
"graph-match",
"language-match",
"name-match",
"signal-match",
"tag-match",
)
def test_indexed_source_projects_only_typed_actionability_not_install_prose(
tmp_path: Path,
) -> None:
graph = nx.Graph()
graph.add_node(
"skill:local-json",
label="local-json",
type="skill",
tags=["json", "python"],
status="local-wiki",
source="organization-runtime",
)
graph.add_node(
"skill:remote-json",
label="remote-json",
type="skill",
tags=["json", "python"],
status="available",
install_command="curl private.example | sh",
)
path = tmp_path / "actionability.sqlite3"
build_graph_store(path, graph)
path.chmod(0o444)
observation = WorkObservation(signals=("json",), languages=("python",))
with IndexedGraphCandidateSource(path, _artifact_digest(path)) as source:
candidates = source.retrieve(observation)
assert {candidate.capability_id: candidate.actionability for candidate in candidates} == {
"skill:local-json": "manual",
"skill:remote-json": "manual",
}
assert "private.example" not in repr(candidates)
assert "curl" not in repr(candidates)
def test_indexed_source_order_is_deterministic(tmp_path: Path) -> None:
path = _store(tmp_path)
with IndexedGraphCandidateSource(path, _artifact_digest(path)) as source:
first = source.retrieve(_observation())
second = source.retrieve(_observation())
assert second == first
def test_authenticated_install_descriptors_keep_absent_types_in_one_global_plan(
tmp_path: Path,
) -> None:
path = _store(tmp_path)
snapshot = _artifact_text_digest("install-catalog-v1")
installable_ids = (
"skill:python-tdd",
"skill:python-lint",
"skill:python-types",
"agent:python-reviewer",
"mcp-server:python-docs",
)
port = StaticInstallPlanPort(
snapshot,
{
capability_id: _install_descriptor(capability_id, snapshot)
for capability_id in installable_ids
},
)
with IndexedGraphCandidateSource(
path,
_artifact_digest(path),
install_plan_port=port,
) as source:
candidates = source.retrieve(_observation())
plan = BoundedCapabilityPlanner(source).plan(_observation())
projected = {candidate.capability_id: candidate for candidate in candidates}
assert all(projected[item].actionability == "install" for item in installable_ids)
assert all(projected[item].install_descriptor_digest is not None for item in installable_ids)
assert all(projected[item].install_plan_digest is not None for item in installable_ids)
assert plan.status == "ready"
assert len(plan.selections) == 5
assert {item.kind for item in plan.selections if item.actionability == "install"} == {
"agent",
"mcp-server",
"skill",
}
def test_installed_material_wins_over_an_install_descriptor(tmp_path: Path) -> None:
path = _store(tmp_path)
capability_id = "skill:python-tdd"
install_snapshot = _artifact_text_digest("install-catalog")
material_snapshot = _artifact_text_digest("material-catalog")
install_port = StaticInstallPlanPort(
install_snapshot,
{capability_id: _install_descriptor(capability_id, install_snapshot)},
)
@dataclass
class MaterialPort:
material_snapshot_digest: str
def describe(self, candidate_id: str, kind: str) -> MaterialDescriptor:
if candidate_id == capability_id:
return _load_descriptor(candidate_id, self.material_snapshot_digest)
values: dict[str, object] = {
"actionability": "manual",
"capability_id": candidate_id,
"content_bytes": 0,
"content_sha256": None,
"estimated_tokens": 0,
"kind": kind,
"material_snapshot_digest": self.material_snapshot_digest,
"schema": "ctx.material-descriptor-v1",
}
return MaterialDescriptor(
capability_id=candidate_id,
kind=kind,
actionability="manual",
content_sha256=None,
content_bytes=0,
estimated_tokens=0,
provenance_digest=self.material_snapshot_digest,
descriptor_digest=_artifact_text_digest(
json.dumps(
values,
ensure_ascii=True,
allow_nan=False,
separators=(",", ":"),
sort_keys=True,
)
),
)
def prepare(
self,
action: HostAction,
selection: CapabilitySelection,
*,
expected_catalog_snapshot_digest: str,
authority: ExposureAuthorizer | None = None,
) -> PreparedCapabilityContent:
raise AssertionError("candidate retrieval must not prepare capability material")
with IndexedGraphCandidateSource(
path,
_artifact_digest(path),
install_plan_port=install_port,
material_port=MaterialPort(material_snapshot),
) as source:
candidates = {item.capability_id: item for item in source.retrieve(_observation())}
assert candidates[capability_id].actionability == "load"
assert candidates[capability_id].install_descriptor_digest is None
assert candidates[capability_id].install_plan_digest is None
assert capability_id not in install_port.calls
def test_install_descriptor_missing_is_manual_and_bad_provenance_is_row_local(
tmp_path: Path,
) -> None:
path = _store(tmp_path)
snapshot = _artifact_text_digest("install-catalog")
missing_port = StaticInstallPlanPort(snapshot, {})
with IndexedGraphCandidateSource(
path,
_artifact_digest(path),
install_plan_port=missing_port,
) as source:
assert all(
candidate.actionability == "manual" for candidate in source.retrieve(_observation())
)
wrong_snapshot = _artifact_text_digest("wrong-catalog")
good_capability_id = "skill:python-lint"
tampered_port = StaticInstallPlanPort(
snapshot,
{
"skill:python-tdd": _install_descriptor(
"skill:python-tdd",
wrong_snapshot,
),
good_capability_id: _install_descriptor(good_capability_id, snapshot),
},
)
with IndexedGraphCandidateSource(
path,
_artifact_digest(path),
install_plan_port=tampered_port,
) as source:
candidates = {item.capability_id: item for item in source.retrieve(_observation())}
assert "skill:python-tdd" not in candidates
assert candidates[good_capability_id].actionability == "install"
assert any(item.actionability == "manual" for item in candidates.values())
def test_bad_material_authority_skips_only_its_row_and_keeps_valid_load_peer(
tmp_path: Path,
) -> None:
path = _store(tmp_path)
snapshot = _artifact_text_digest("material-catalog")
wrong_snapshot = _artifact_text_digest("wrong-material-catalog")
bad_capability_id = "skill:python-tdd"
good_capability_id = "skill:python-lint"
@dataclass
class MixedMaterialPort:
material_snapshot_digest: str
def describe(self, capability_id: str, _kind: str) -> MaterialDescriptor:
return _load_descriptor(
capability_id,
wrong_snapshot if capability_id == bad_capability_id else snapshot,
)
def prepare(
self,
action: HostAction,
selection: CapabilitySelection,
*,
expected_catalog_snapshot_digest: str,
authority: ExposureAuthorizer | None = None,
) -> PreparedCapabilityContent:
raise AssertionError("candidate retrieval must not prepare capability material")
with IndexedGraphCandidateSource(
path,
_artifact_digest(path),
material_port=MixedMaterialPort(snapshot),
) as source:
candidates = {item.capability_id: item for item in source.retrieve(_observation())}
assert bad_capability_id not in candidates
assert candidates[good_capability_id].actionability == "load"
assert len(candidates) == 5
def test_install_descriptor_and_snapshot_mutation_are_rejected(tmp_path: Path) -> None:
path = _store(tmp_path)
snapshot = _artifact_text_digest("install-catalog")
capability_id = "skill:python-tdd"
port = StaticInstallPlanPort(
snapshot,
{capability_id: _install_descriptor(capability_id, snapshot)},
)
with IndexedGraphCandidateSource(
path,
_artifact_digest(path),
install_plan_port=port,
) as source:
source.retrieve(_observation())
port.descriptors[capability_id] = _install_descriptor(
capability_id,
snapshot,
plan_salt="changed-plan",
)
with pytest.raises(CandidateSourceUnavailable, match="changed within"):
source.retrieve(_observation())
port = StaticInstallPlanPort(snapshot, {})
with IndexedGraphCandidateSource(
path,
_artifact_digest(path),
install_plan_port=port,
) as source:
port.installation_snapshot_digest = _artifact_text_digest("changed-snapshot")
with pytest.raises(CandidateSourceUnavailable, match="snapshot changed"):
source.retrieve(_observation())
def test_install_snapshot_and_descriptor_change_bound_candidate_digests(tmp_path: Path) -> None:
path = _store(tmp_path)
first_snapshot = _artifact_text_digest("install-catalog-v1")
second_snapshot = _artifact_text_digest("install-catalog-v2")
capability_id = "skill:python-tdd"
first_port = StaticInstallPlanPort(
first_snapshot,
{capability_id: _install_descriptor(capability_id, first_snapshot)},
)
second_port = StaticInstallPlanPort(
second_snapshot,
{
capability_id: _install_descriptor(
capability_id,
second_snapshot,
plan_salt="changed-plan",
)
},
)
with (
IndexedGraphCandidateSource(
path,
_artifact_digest(path),
install_plan_port=first_port,
) as first,
IndexedGraphCandidateSource(
path,
_artifact_digest(path),
install_plan_port=second_port,
) as second,
):
first_candidates = {item.capability_id: item for item in first.retrieve(_observation())}
second_candidates = {item.capability_id: item for item in second.retrieve(_observation())}
assert first.catalog_snapshot_digest != second.catalog_snapshot_digest
assert (
first_candidates[capability_id].source_digest
!= second_candidates[capability_id].source_digest
)
def test_same_install_plan_with_different_descriptor_is_bound_exactly(tmp_path: Path) -> None:
path = _store(tmp_path)
snapshot = _artifact_text_digest("install-catalog")
capability_id = "skill:python-tdd"
first_descriptor = _install_descriptor(capability_id, snapshot, plan_salt="shared-plan")
second_descriptor = _install_descriptor(
capability_id,
snapshot,
plan_salt="shared-plan",
permission_expansion=True,
)
assert first_descriptor.plan_digest == second_descriptor.plan_digest
assert first_descriptor.descriptor_digest != second_descriptor.descriptor_digest
with (
IndexedGraphCandidateSource(
path,
_artifact_digest(path),
install_plan_port=StaticInstallPlanPort(
snapshot,
{capability_id: first_descriptor},
),
) as first,
IndexedGraphCandidateSource(
path,
_artifact_digest(path),
install_plan_port=StaticInstallPlanPort(
snapshot,
{capability_id: second_descriptor},
),
) as second,
):
first_candidate = next(
item for item in first.retrieve(_observation()) if item.capability_id == capability_id
)
second_candidate = next(
item for item in second.retrieve(_observation()) if item.capability_id == capability_id
)
assert first_candidate.install_plan_digest == second_candidate.install_plan_digest
assert first_candidate.install_descriptor_digest == first_descriptor.descriptor_digest
assert second_candidate.install_descriptor_digest == second_descriptor.descriptor_digest
assert first_candidate.source_digest != second_candidate.source_digest
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