| """
|
| test_ctx_config.py -- Coverage for ctx_config.py (296 LOC).
|
|
|
| ctx_config is the single source of truth for paths, thresholds, and
|
| graph build/query parameters. A silent regression in validation would
|
| let a misconfigured user file ship broken thresholds into every
|
| downstream module — so the validation branches are deliberately
|
| exercised with adversarial inputs.
|
| """
|
|
|
| from __future__ import annotations
|
|
|
| import json
|
| from importlib import resources
|
| from pathlib import Path
|
| from typing import Any
|
|
|
| import pytest
|
|
|
| import ctx_config
|
| from ctx_config import Config, _deep_merge, _expand
|
|
|
|
|
|
|
|
|
|
|
| def _base_cfg(**overrides: Any) -> dict[str, Any]:
|
| """Minimal valid raw-config dict; tests layer overrides on top."""
|
| return overrides
|
|
|
|
|
|
|
|
|
|
|
| class TestDeepMerge:
|
| def test_new_keys_added(self) -> None:
|
| base = {"a": 1}
|
| _deep_merge(base, {"b": 2})
|
| assert base == {"a": 1, "b": 2}
|
|
|
| def test_scalar_override(self) -> None:
|
| base = {"a": 1}
|
| _deep_merge(base, {"a": 2})
|
| assert base == {"a": 2}
|
|
|
| def test_nested_dict_merge(self) -> None:
|
| base = {"paths": {"wiki_dir": "/a", "skills_dir": "/b"}}
|
| _deep_merge(base, {"paths": {"wiki_dir": "/override"}})
|
| assert base == {"paths": {"wiki_dir": "/override", "skills_dir": "/b"}}
|
|
|
| def test_non_dict_replaces_dict(self) -> None:
|
| base = {"a": {"nested": 1}}
|
| _deep_merge(base, {"a": "scalar"})
|
| assert base == {"a": "scalar"}
|
|
|
| def test_dict_replaces_non_dict(self) -> None:
|
| base = {"a": "scalar"}
|
| _deep_merge(base, {"a": {"nested": 1}})
|
| assert base == {"a": {"nested": 1}}
|
|
|
| def test_empty_override_no_op(self) -> None:
|
| base = {"a": 1}
|
| _deep_merge(base, {})
|
| assert base == {"a": 1}
|
|
|
|
|
|
|
|
|
|
|
| class TestExpand:
|
| def test_tilde(self, monkeypatch: pytest.MonkeyPatch, tmp_path: Path) -> None:
|
| monkeypatch.setenv("HOME", str(tmp_path))
|
| monkeypatch.setenv("USERPROFILE", str(tmp_path))
|
| out = _expand("~/claude")
|
| assert "~" not in out
|
| assert str(tmp_path) in out or "claude" in out
|
|
|
| def test_env_var(self, monkeypatch: pytest.MonkeyPatch) -> None:
|
| monkeypatch.setenv("CTX_TEST_VAR", "/opt/data")
|
| assert _expand("$CTX_TEST_VAR/wiki").endswith("data/wiki") \
|
| or "/opt/data/wiki" in _expand("$CTX_TEST_VAR/wiki")
|
|
|
| def test_plain_string_unchanged(self) -> None:
|
| assert _expand("/tmp/plain") == "/tmp/plain"
|
|
|
|
|
|
|
|
|
|
|
| class TestDefaults:
|
| def test_packaged_default_config_matches_source_default(self) -> None:
|
| """The wheel-shipped ctx/config.json must not drift from src/config.json."""
|
| root = Path(__file__).resolve().parent.parent.parent
|
| source_default = json.loads(
|
| (root / "src" / "config.json").read_text(encoding="utf-8")
|
| )
|
| packaged_default = json.loads(
|
| (root / "src" / "ctx" / "config.json").read_text(encoding="utf-8")
|
| )
|
|
|
| assert packaged_default == source_default
|
| assert packaged_default["paths"]["stack_profile_tmp"].startswith("~")
|
| assert packaged_default["knowledge"]["mode"] == "shipped"
|
| assert "recommendation_min_fit_score" in packaged_default["harness"]
|
|
|
| runtime_default = json.loads(
|
| resources.files("ctx").joinpath("config.json").read_text(encoding="utf-8")
|
| )
|
| runtime_config = Config(runtime_default)
|
| assert runtime_default == source_default
|
| assert str(runtime_config.stack_profile_tmp).endswith(
|
| ".claude\\skill-stack-profile.json"
|
| ) or str(runtime_config.stack_profile_tmp).endswith(
|
| ".claude/skill-stack-profile.json"
|
| )
|
| assert runtime_config.harness_recommendation_min_fit_score == 0.85
|
| assert runtime_config.graph_dense_source_threshold == 50
|
| assert runtime_config.graph_edge_boost_direct_link == 0.10
|
| assert runtime_config.graph_edge_boost_source_overlap == 0.05
|
| assert runtime_config.graph_edge_boost_adamic_adar == 0.04
|
| assert runtime_config.graph_edge_boost_type_affinity == 0.03
|
| assert runtime_config.graph_edge_boost_usage == 0.02
|
| assert runtime_config.graph_edge_boost_quality == 0.02
|
|
|
| def test_all_defaults_materialise(self) -> None:
|
| c = Config({})
|
| assert c.max_skills == 15
|
| assert c.recommendation_top_k == 5
|
| assert c.intent_boost_per_signal == 5
|
| assert c.graph_edge_weight_semantic == 0.70
|
| assert c.graph_edge_weight_tags == 0.15
|
| assert c.graph_edge_weight_tokens == 0.15
|
| assert c.graph_semantic_top_k == 20
|
| assert c.graph_semantic_build_floor == 0.50
|
| assert c.graph_semantic_min_cosine == 0.80
|
| assert c.intake_enabled is True
|
|
|
| def test_meta_skills_default(self) -> None:
|
| c = Config({})
|
| assert "skill-router" in c.meta_skills
|
|
|
| def test_tags_default_non_empty(self) -> None:
|
| c = Config({})
|
| assert len(c.all_tags) > 10
|
|
|
| def test_all_skill_dirs_returns_only_existing(
|
| self, tmp_path: Path
|
| ) -> None:
|
| skills = tmp_path / "s"
|
| skills.mkdir()
|
|
|
| raw = {
|
| "paths": {
|
| "skills_dir": str(skills),
|
| "agents_dir": str(tmp_path / "agents-does-not-exist"),
|
| },
|
| "extra_skill_dirs": [str(tmp_path / "extra-does-not-exist")],
|
| }
|
| c = Config(raw)
|
| out = c.all_skill_dirs()
|
| assert out == [skills]
|
|
|
|
|
|
|
|
|
|
|
| class TestRecommendationTopK:
|
| def test_zero_rejected(self) -> None:
|
| with pytest.raises(ValueError, match="recommendation_top_k"):
|
| Config({"resolver": {"recommendation_top_k": 0}})
|
|
|
| def test_negative_rejected(self) -> None:
|
| with pytest.raises(ValueError, match="recommendation_top_k"):
|
| Config({"resolver": {"recommendation_top_k": -1}})
|
|
|
| def test_one_accepted(self) -> None:
|
| c = Config({"resolver": {"recommendation_top_k": 1}})
|
| assert c.recommendation_top_k == 1
|
|
|
| def test_above_execution_bundle_cap_rejected(self) -> None:
|
| with pytest.raises(ValueError, match=r"recommendation_top_k.*\[1, 5\]"):
|
| Config({"resolver": {"recommendation_top_k": 999}})
|
|
|
|
|
|
|
|
|
|
|
| class TestEdgeWeights:
|
| def test_custom_weights_summing_to_one(self) -> None:
|
| c = Config({
|
| "graph": {
|
| "edge_weights": {"semantic": 0.5, "tags": 0.3, "slug_tokens": 0.2}
|
| }
|
| })
|
| assert c.graph_edge_weight_semantic == 0.5
|
|
|
| def test_weights_must_sum_to_one(self) -> None:
|
| with pytest.raises(ValueError, match="edge_weights must sum"):
|
| Config({
|
| "graph": {
|
| "edge_weights": {
|
| "semantic": 0.5, "tags": 0.3, "slug_tokens": 0.5,
|
| }
|
| }
|
| })
|
|
|
| def test_negative_weight_rejected(self) -> None:
|
| with pytest.raises(ValueError, match=r"edge_weights\.\w+ must be >= 0"):
|
| Config({
|
| "graph": {
|
| "edge_weights": {
|
| "semantic": 1.1, "tags": -0.05, "slug_tokens": -0.05,
|
| }
|
| }
|
| })
|
|
|
| def test_tolerance_within_1e6(self) -> None:
|
| """Floats summing to 1.0000001 must still pass."""
|
| c = Config({
|
| "graph": {
|
| "edge_weights": {
|
| "semantic": 0.5000001, "tags": 0.25, "slug_tokens": 0.25,
|
| }
|
| }
|
| })
|
| assert c.graph_edge_weight_semantic == pytest.approx(0.5000001)
|
|
|
|
|
|
|
|
|
|
|
| class TestSemanticThresholds:
|
| def test_build_floor_must_be_strictly_positive(self) -> None:
|
| with pytest.raises(ValueError, match="build_floor must be strictly"):
|
| Config({"graph": {"semantic": {"build_floor": 0.0}}})
|
|
|
| def test_build_floor_must_be_strictly_less_than_one(self) -> None:
|
| with pytest.raises(ValueError, match="build_floor must be strictly"):
|
| Config({"graph": {"semantic": {"build_floor": 1.0}}})
|
|
|
| def test_min_cosine_must_be_strictly_positive(self) -> None:
|
| with pytest.raises(ValueError, match="min_cosine must be strictly"):
|
| Config({
|
| "graph": {"semantic": {"build_floor": 0.1, "min_cosine": 0.0}}
|
| })
|
|
|
| def test_min_cosine_must_be_strictly_less_than_one(self) -> None:
|
| with pytest.raises(ValueError, match="min_cosine must be strictly"):
|
| Config({
|
| "graph": {"semantic": {"build_floor": 0.5, "min_cosine": 1.0}}
|
| })
|
|
|
| def test_build_floor_cannot_exceed_min_cosine(self) -> None:
|
| """Guards the 'silent gaps' invariant."""
|
| with pytest.raises(ValueError, match="build_floor.*must be <= min_cosine"):
|
| Config({
|
| "graph": {"semantic": {"build_floor": 0.9, "min_cosine": 0.5}}
|
| })
|
|
|
| def test_equal_thresholds_accepted(self) -> None:
|
| c = Config({
|
| "graph": {"semantic": {"build_floor": 0.6, "min_cosine": 0.6}}
|
| })
|
| assert c.graph_semantic_build_floor == c.graph_semantic_min_cosine == 0.6
|
|
|
| def test_negative_values_rejected(self) -> None:
|
| with pytest.raises(ValueError):
|
| Config({"graph": {"semantic": {"build_floor": -0.1}}})
|
|
|
|
|
|
|
|
|
|
|
| class TestIntake:
|
| def test_disabled(self) -> None:
|
| c = Config({"intake": {"enabled": False}})
|
| assert c.intake_enabled is False
|
|
|
| def test_custom_thresholds(self) -> None:
|
| c = Config({
|
| "intake": {
|
| "dup_threshold": 0.95,
|
| "near_dup_threshold": 0.82,
|
| "min_neighbors": 3,
|
| "min_body_chars": 200,
|
| }
|
| })
|
| assert c.intake_dup_threshold == 0.95
|
| assert c.intake_near_dup_threshold == 0.82
|
| assert c.intake_min_neighbors == 3
|
| assert c.intake_min_body_chars == 200
|
|
|
| def test_model_none_preserved(self) -> None:
|
| """Non-string models stay None so downstream can pick a default."""
|
| c = Config({"intake": {"embedding": {"model": None}}})
|
| assert c.intake_model is None
|
|
|
| def test_model_string_preserved(self) -> None:
|
| c = Config({"intake": {"embedding": {"model": "foo"}}})
|
| assert c.intake_model == "foo"
|
|
|
| def test_base_url_non_string_becomes_none(self) -> None:
|
| c = Config({"intake": {"embedding": {"base_url": 42}}})
|
| assert c.intake_base_url is None
|
|
|
| def test_allow_remote_default_false(self) -> None:
|
| c = Config({})
|
| assert c.intake_allow_remote is False
|
|
|
|
|
|
|
|
|
|
|
| class TestGet:
|
| def test_top_level_key(self) -> None:
|
| c = Config({"custom": "value"})
|
| assert c.get("custom") == "value"
|
|
|
| def test_dotted_path(self) -> None:
|
| c = Config({"nested": {"deep": {"value": 42}}})
|
| assert c.get("nested.deep.value") == 42
|
|
|
| def test_missing_returns_default(self) -> None:
|
| c = Config({})
|
| assert c.get("a.b.c", default="fallback") == "fallback"
|
|
|
| def test_missing_returns_none_by_default(self) -> None:
|
| c = Config({})
|
| assert c.get("missing") is None
|
|
|
| def test_non_dict_intermediate_returns_default(self) -> None:
|
| """get('a.b.c') when a is a scalar should hit default."""
|
| c = Config({"a": "scalar"})
|
| assert c.get("a.b", default="fb") == "fb"
|
|
|
|
|
|
|
|
|
|
|
| class TestLoadRawAndReload:
|
| def test_user_overrides_default(
|
| self,
|
| tmp_path: Path,
|
| monkeypatch: pytest.MonkeyPatch,
|
| ) -> None:
|
| default = tmp_path / "config.json"
|
| default.write_text(
|
| json.dumps({"resolver": {"max_skills": 10}}), encoding="utf-8"
|
| )
|
| user = tmp_path / "user.json"
|
| user.write_text(
|
| json.dumps({"resolver": {"max_skills": 99}}), encoding="utf-8"
|
| )
|
| monkeypatch.setattr(ctx_config, "_DEFAULT_CONFIG", default)
|
| monkeypatch.setattr(ctx_config, "_USER_CONFIG", user)
|
| raw = ctx_config._load_raw()
|
| assert raw["resolver"]["max_skills"] == 99
|
|
|
| def test_corrupt_default_logged_not_raised(
|
| self,
|
| tmp_path: Path,
|
| monkeypatch: pytest.MonkeyPatch,
|
| capsys: pytest.CaptureFixture[str],
|
| ) -> None:
|
| default = tmp_path / "config.json"
|
| default.write_text("not json", encoding="utf-8")
|
| user = tmp_path / "never-exists.json"
|
| monkeypatch.setattr(ctx_config, "_DEFAULT_CONFIG", default)
|
| monkeypatch.setattr(ctx_config, "_USER_CONFIG", user)
|
| raw = ctx_config._load_raw()
|
| assert raw == {}
|
| err = capsys.readouterr().err
|
| assert "default config" in err
|
|
|
| def test_corrupt_user_preserves_default(
|
| self,
|
| tmp_path: Path,
|
| monkeypatch: pytest.MonkeyPatch,
|
| capsys: pytest.CaptureFixture[str],
|
| ) -> None:
|
| default = tmp_path / "config.json"
|
| default.write_text(
|
| json.dumps({"resolver": {"max_skills": 7}}), encoding="utf-8"
|
| )
|
| user = tmp_path / "user.json"
|
| user.write_text("{not json", encoding="utf-8")
|
| monkeypatch.setattr(ctx_config, "_DEFAULT_CONFIG", default)
|
| monkeypatch.setattr(ctx_config, "_USER_CONFIG", user)
|
| raw = ctx_config._load_raw()
|
| assert raw["resolver"]["max_skills"] == 7
|
|
|
| def test_missing_files_empty_dict(
|
| self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch
|
| ) -> None:
|
| monkeypatch.setattr(
|
| ctx_config, "_DEFAULT_CONFIG", tmp_path / "missing.json"
|
| )
|
| monkeypatch.setattr(
|
| ctx_config, "_USER_CONFIG", tmp_path / "also-missing.json"
|
| )
|
| assert ctx_config._load_raw() == {}
|
|
|
| def test_reload_updates_singleton(
|
| self,
|
| tmp_path: Path,
|
| monkeypatch: pytest.MonkeyPatch,
|
| ) -> None:
|
| default = tmp_path / "config.json"
|
| default.write_text(
|
| json.dumps({"resolver": {"max_skills": 1}}), encoding="utf-8"
|
| )
|
| monkeypatch.setattr(ctx_config, "_DEFAULT_CONFIG", default)
|
| monkeypatch.setattr(
|
| ctx_config, "_USER_CONFIG", tmp_path / "u.json"
|
| )
|
| ctx_config.reload()
|
| try:
|
| assert ctx_config.cfg.max_skills == 1
|
| finally:
|
|
|
| monkeypatch.undo()
|
| ctx_config.reload()
|
|
|
|
|
|
|
|
|
|
|
| class TestBuildIntakeConfig:
|
| def test_builds_dataclass(self) -> None:
|
| c = Config({
|
| "intake": {
|
| "dup_threshold": 0.9,
|
| "near_dup_threshold": 0.7,
|
| "min_neighbors": 2,
|
| "min_neighbor_score": 0.4,
|
| "min_body_chars": 150,
|
| }
|
| })
|
| ic = c.build_intake_config()
|
| assert ic.dup_threshold == 0.9
|
| assert ic.near_dup_threshold == 0.7
|
| assert ic.min_neighbors == 2
|
| assert ic.min_neighbor_score == 0.4
|
| assert ic.min_body_chars == 150
|
|
|
|
|
|
|
|
|
|
|
| class TestPathExpansion:
|
| def test_tilde_expanded_in_paths(
|
| self, monkeypatch: pytest.MonkeyPatch, tmp_path: Path
|
| ) -> None:
|
| monkeypatch.setenv("HOME", str(tmp_path))
|
| monkeypatch.setenv("USERPROFILE", str(tmp_path))
|
| c = Config({"paths": {"wiki_dir": "~/wiki"}})
|
| assert "~" not in str(c.wiki_dir)
|
|
|
| def test_env_var_expanded_in_paths(
|
| self, monkeypatch: pytest.MonkeyPatch
|
| ) -> None:
|
| monkeypatch.setenv("CTX_TEST_WIKI", "/opt/wiki")
|
| c = Config({"paths": {"wiki_dir": "$CTX_TEST_WIKI"}})
|
| assert str(c.wiki_dir).endswith("wiki")
|
|
|