"""Tests for muse/core/plugins/code_harmony.py. ``CodePlugin`` — HarmonyPlugin implementation for code-domain conflicts. ``code_fingerprint(source)`` — normalized token-bag fingerprint for a code snippet. The fingerprint encodes a sorted space-separated list of normalized tokens: - Python keywords preserved as-is (``def``, ``return``, ``class``, …) - Identifiers → ``ID`` - String literals → ``STR`` - Number literals → ``NUM`` - Operators/punctuation → preserved (``(``, ``)`` , ``:``, ``+``, …) - Comments → stripped - Whitespace/indentation → irrelevant (sorting makes order-independent) Similarity is Tanimoto coefficient on the token multisets: sim = |min(A, B)| / |max(A, B)| Also covers the relaxed ``--semantic-fingerprint`` CLI validation that allows non-hex64 fingerprints (required for code plugin fingerprints). Coverage tiers -------------- I Unit — code_fingerprint output shape, normalization rules II Integration — CodePlugin.similarity on real code snippets III End-to-end — harmony store + engine finds code semantic matches IV Stress — 500-line file fingerprint; large similarity batches V Data integrity — symmetry, bounds [0,1], determinism, Protocol conformance VI Security — malformed Python, very large input, null bytes, empty VII Performance — fingerprint <10ms/function; similarity <1ms; engine <100ms """ from __future__ import annotations import datetime import pathlib import time import pytest from muse.core.paths import config_toml_path, muse_dir from muse.core.types import fake_id from muse.core.harmony import ( AgentProvenance, ConflictPattern, blob_fingerprint, compute_pattern_id, best_resolution, record_pattern, save_resolution, Resolution, ResolutionStrategy, ) from muse.core.harmony.engine import EngineConfig, find_similar from muse.core.plugins.code_harmony import CodePlugin, code_fingerprint # --------------------------------------------------------------------------- # Shared helpers # --------------------------------------------------------------------------- def _utc_now() -> datetime.datetime: return datetime.datetime.now(datetime.timezone.utc) @pytest.fixture() def repo(tmp_path: pathlib.Path) -> pathlib.Path: muse_dir(tmp_path).mkdir() return tmp_path def _make_pattern( path: str, semantic_fp: str, ours: str = "ours", theirs: str = "theirs", ) -> ConflictPattern: ours_id = fake_id(ours) theirs_id = fake_id(theirs) blob_fp = blob_fingerprint(ours_id, theirs_id) pid = compute_pattern_id(path, blob_fp, semantic_fp) return ConflictPattern( pattern_id=pid, path=path, domain="code", conflict_type="content", blob_fingerprint=blob_fp, semantic_fingerprint=semantic_fp, ours_id=ours_id, theirs_id=theirs_id, description={}, recorded_at=_utc_now(), recorded_by="test", ) def _make_resolution(pattern_id: str, confidence: float = 0.9) -> Resolution: rid = fake_id(f"res-{pattern_id}") return Resolution( resolution_id=rid, pattern_id=pattern_id, strategy=ResolutionStrategy.MANUAL, policy_id=None, outcome_blob=fake_id("outcome"), resolved_by=AgentProvenance.human(), human_verified=False, confidence=confidence, rationale="test resolution", resolved_at=_utc_now(), ) # =========================================================================== # Tier I — Unit: code_fingerprint() # =========================================================================== class TestCodeFingerprintShape: """I: output is a non-empty string of space-separated tokens.""" def test_returns_string(self) -> None: assert isinstance(code_fingerprint("def foo(): pass"), str) def test_non_empty_for_real_code(self) -> None: assert code_fingerprint("def foo(): pass") != "" def test_empty_source_returns_empty(self) -> None: assert code_fingerprint("") == "" def test_whitespace_only_returns_empty(self) -> None: assert code_fingerprint(" \n\t ") == "" def test_comment_only_returns_empty(self) -> None: assert code_fingerprint("# just a comment") == "" def test_tokens_are_space_separated(self) -> None: fp = code_fingerprint("x = 1") assert " " in fp or len(fp.split()) >= 1 class TestCodeFingerprintNormalization: """I: normalization rules for identifiers, literals, keywords.""" def test_identifiers_become_ID(self) -> None: fp = code_fingerprint("foo = bar") assert "ID" in fp assert "foo" not in fp assert "bar" not in fp def test_numbers_become_NUM(self) -> None: fp = code_fingerprint("x = 42") assert "NUM" in fp assert "42" not in fp def test_string_literals_become_STR(self) -> None: fp = code_fingerprint('msg = "hello world"') assert "STR" in fp assert "hello" not in fp def test_single_quoted_strings_become_STR(self) -> None: fp = code_fingerprint("msg = 'hello'") assert "STR" in fp def test_keywords_preserved(self) -> None: fp = code_fingerprint("def foo(): return None") assert "def" in fp assert "return" in fp def test_class_keyword_preserved(self) -> None: fp = code_fingerprint("class Foo: pass") assert "class" in fp assert "pass" in fp def test_import_keyword_preserved(self) -> None: fp = code_fingerprint("import os") assert "import" in fp def test_comments_stripped(self) -> None: fp_with_comment = code_fingerprint("x = 1 # this is x") fp_without = code_fingerprint("x = 1") assert fp_with_comment == fp_without def test_operators_preserved(self) -> None: fp = code_fingerprint("x + y") assert "+" in fp def test_parens_preserved(self) -> None: fp = code_fingerprint("foo(x)") assert "(" in fp assert ")" in fp class TestCodeFingerprintDeterminism: """I: same input → same output, always.""" def test_deterministic_same_call(self) -> None: src = "def compute(a, b):\n return a * b + 1\n" assert code_fingerprint(src) == code_fingerprint(src) def test_indentation_irrelevant(self) -> None: src1 = "def foo(x):\n return x\n" src2 = "def foo(x):\n return x\n" assert code_fingerprint(src1) == code_fingerprint(src2) def test_extra_blank_lines_irrelevant(self) -> None: src1 = "def foo():\n pass\n" src2 = "\n\ndef foo():\n\n pass\n\n" assert code_fingerprint(src1) == code_fingerprint(src2) def test_output_is_sorted(self) -> None: fp = code_fingerprint("def foo(x): return x") tokens = fp.split() assert tokens == sorted(tokens) # =========================================================================== # Tier II — Integration: CodePlugin.similarity() # =========================================================================== class TestCodePluginIdentical: """II: identical or structurally equivalent code → high similarity.""" def test_identical_source_is_1(self) -> None: src = "def foo(x):\n return x + 1\n" fp = code_fingerprint(src) assert CodePlugin().similarity(fp, fp) == 1.0 def test_same_structure_different_names_is_1(self) -> None: # Different identifiers, same keyword/operator structure fp1 = code_fingerprint("def foo(x): return x + 1") fp2 = code_fingerprint("def bar(y): return y + 2") assert CodePlugin().similarity(fp1, fp2) == 1.0 def test_same_import_different_module_is_1(self) -> None: fp1 = code_fingerprint("from typing import Optional") fp2 = code_fingerprint("from os import path") assert CodePlugin().similarity(fp1, fp2) == 1.0 def test_same_assignment_different_names_high(self) -> None: fp1 = code_fingerprint("result = compute_value(a, b)") fp2 = code_fingerprint("output = process_data(x, y)") assert CodePlugin().similarity(fp1, fp2) > 0.8 class TestCodePluginSimilar: """II: structurally related code → intermediate similarity.""" def test_same_function_extra_parameter(self) -> None: fp1 = code_fingerprint("def foo(x): return x + 1") fp2 = code_fingerprint("def foo(x, y): return x + y") sim = CodePlugin().similarity(fp1, fp2) assert 0.5 < sim < 1.0 def test_function_vs_method(self) -> None: fp1 = code_fingerprint("def foo(x):\n return x\n") fp2 = code_fingerprint("def foo(self, x):\n return x\n") sim = CodePlugin().similarity(fp1, fp2) assert 0.5 < sim < 1.0 def test_added_return_type_annotation(self) -> None: fp1 = code_fingerprint("def foo(x):\n return x\n") fp2 = code_fingerprint("def foo(x) -> int:\n return x\n") sim = CodePlugin().similarity(fp1, fp2) assert sim > 0.6 def test_added_docstring(self) -> None: fp1 = code_fingerprint("def foo(x):\n return x\n") fp2 = code_fingerprint('def foo(x):\n """Return x."""\n return x\n') sim = CodePlugin().similarity(fp1, fp2) assert sim > 0.5 class TestCodePluginDifferent: """II: structurally unrelated code → low similarity.""" def test_function_vs_class_low(self) -> None: fp1 = code_fingerprint("def foo(x): return x + 1") fp2 = code_fingerprint("class Foo:\n pass\n") assert CodePlugin().similarity(fp1, fp2) < 0.5 def test_completely_different_low(self) -> None: fp1 = code_fingerprint( "for item in collection:\n process(item)\n" ) fp2 = code_fingerprint( "class DatabaseConnection:\n" " def __init__(self, host, port):\n" " self.host = host\n" " self.port = port\n" ) assert CodePlugin().similarity(fp1, fp2) < 0.5 def test_import_vs_class_low(self) -> None: fp1 = code_fingerprint("import os") fp2 = code_fingerprint("class Foo:\n x = 1\n") assert CodePlugin().similarity(fp1, fp2) < 0.5 class TestCodePluginEdgeCases: """II: empty, single-token, and other edge cases.""" def test_both_empty_returns_1(self) -> None: assert CodePlugin().similarity("", "") == 1.0 def test_one_empty_returns_0(self) -> None: fp = code_fingerprint("def foo(): pass") assert CodePlugin().similarity(fp, "") == 0.0 assert CodePlugin().similarity("", fp) == 0.0 def test_single_token_identical(self) -> None: assert CodePlugin().similarity("def", "def") == 1.0 def test_single_token_different(self) -> None: assert CodePlugin().similarity("def", "class") == 0.0 def test_returns_float(self) -> None: fp = code_fingerprint("x = 1") result = CodePlugin().similarity(fp, fp) assert isinstance(result, float) # =========================================================================== # Tier III — End-to-end with harmony store # =========================================================================== class TestEndToEnd: """III: CodePlugin + harmony store + engine find_similar.""" def test_engine_finds_similar_code_patterns(self, repo: pathlib.Path) -> None: """Two structurally identical code conflicts → engine proposes via Tier 3.""" src_a = "def process(item):\n return item.transform()\n" src_b = "def handle(obj):\n return obj.transform()\n" fp_a = code_fingerprint(src_a) fp_b = code_fingerprint(src_b) # Both have the same fingerprint (same structure) assert fp_a == fp_b pat_a = _make_pattern("service_a.py", fp_a, ours="oa", theirs="ta") pat_b = _make_pattern("service_b.py", fp_b, ours="ob", theirs="tb") record_pattern(repo, pat_a) record_pattern(repo, pat_b) # Give pat_a a resolution res = _make_resolution(pat_a.pattern_id, confidence=0.88) save_resolution(repo, res) # find_similar for pat_b via CodePlugin should find pat_a proposals = find_similar(repo, pat_b, plugin=CodePlugin(), config=EngineConfig(semantic_threshold=0.70)) assert len(proposals) >= 1 assert proposals[0].similar_pattern_id == pat_a.pattern_id assert proposals[0].similarity == 1.0 def test_dissimilar_patterns_not_proposed(self, repo: pathlib.Path) -> None: """Structurally different code → similarity below threshold → no proposal.""" fp_a = code_fingerprint("def foo(x): return x + 1") fp_b = code_fingerprint("class DatabaseManager:\n def __init__(self): pass\n") pat_a = _make_pattern("utils.py", fp_a, ours="oa", theirs="ta") pat_b = _make_pattern("db.py", fp_b, ours="ob", theirs="tb") record_pattern(repo, pat_a) record_pattern(repo, pat_b) res = _make_resolution(pat_a.pattern_id, confidence=0.9) save_resolution(repo, res) proposals = find_similar(repo, pat_b, plugin=CodePlugin(), config=EngineConfig(semantic_threshold=0.70)) assert proposals == [] def test_code_plugin_satisfies_harmony_plugin_protocol(self) -> None: from muse.core.harmony.engine import HarmonyPlugin assert isinstance(CodePlugin(), HarmonyPlugin) def test_partial_match_above_threshold_proposed(self, repo: pathlib.Path) -> None: """Partial structural match → sim in (0.5, 1.0) → proposed if above threshold.""" fp_a = code_fingerprint("def foo(x):\n return x\n") fp_b = code_fingerprint("def foo(x, y):\n return x + y\n") sim = CodePlugin().similarity(fp_a, fp_b) assert 0.5 < sim < 1.0 pat_a = _make_pattern("a.py", fp_a, ours="oa", theirs="ta") pat_b = _make_pattern("b.py", fp_b, ours="ob", theirs="tb") record_pattern(repo, pat_a) record_pattern(repo, pat_b) res = _make_resolution(pat_a.pattern_id) save_resolution(repo, res) # Use a low threshold so partial matches are included proposals = find_similar(repo, pat_b, plugin=CodePlugin(), config=EngineConfig(semantic_threshold=0.50)) assert len(proposals) >= 1 # =========================================================================== # Tier IV — Stress # =========================================================================== class TestStress: """IV: large inputs; many-pattern similarity search.""" def test_fingerprint_500_line_file(self) -> None: lines = [] for i in range(50): lines.append(f"def function_{i}(arg_{i}):") lines.append(f" result = arg_{i} * {i}") lines.append(f" return result") lines.append("") src = "\n".join(lines) fp = code_fingerprint(src) assert isinstance(fp, str) assert len(fp) > 0 def test_similarity_of_large_fingerprints(self) -> None: src = "\n".join( f"def f{i}(x{i}): return x{i} + {i}" for i in range(200) ) fp1 = code_fingerprint(src) fp2 = code_fingerprint(src.replace("return", "yield")) sim = CodePlugin().similarity(fp1, fp2) assert 0.0 <= sim <= 1.0 def test_find_similar_50_patterns(self, repo: pathlib.Path) -> None: target_fp = code_fingerprint("def process(x): return x.run()") target = _make_pattern("target.py", target_fp, ours="to", theirs="tt") record_pattern(repo, target) for i in range(50): fp = code_fingerprint(f"def handle_{i}(obj_{i}): return obj_{i}.run()") pat = _make_pattern(f"s{i}.py", fp, ours=f"o{i}", theirs=f"t{i}") record_pattern(repo, pat) save_resolution(repo, _make_resolution(pat.pattern_id)) proposals = find_similar(repo, target, plugin=CodePlugin(), config=EngineConfig(semantic_threshold=0.70, max_proposals=5)) assert len(proposals) <= 5 assert len(proposals) >= 1 # =========================================================================== # Tier V — Data integrity # =========================================================================== class TestDataIntegrity: """V: symmetry, bounds, determinism, Protocol conformance.""" def test_similarity_symmetric(self) -> None: fp1 = code_fingerprint("def foo(x): return x + 1") fp2 = code_fingerprint("class Bar:\n def method(self): pass\n") plugin = CodePlugin() assert plugin.similarity(fp1, fp2) == plugin.similarity(fp2, fp1) def test_similarity_always_in_01(self) -> None: cases = [ ("def foo(): pass", "def bar(): pass"), ("x = 1", "y = 'hello'"), ("import os", "class Foo: pass"), ("", ""), ("", "x = 1"), ] plugin = CodePlugin() for a, b in cases: sim = plugin.similarity(code_fingerprint(a), code_fingerprint(b)) assert 0.0 <= sim <= 1.0, f"out of range: {sim} for {a!r}, {b!r}" def test_fingerprint_deterministic_across_calls(self) -> None: src = "def compute(a, b, c):\n return (a + b) * c\n" fps = [code_fingerprint(src) for _ in range(10)] assert len(set(fps)) == 1 def test_self_similarity_is_1(self) -> None: for src in [ "x = 1", "def foo(x): return x", "class Foo:\n pass", ]: fp = code_fingerprint(src) assert CodePlugin().similarity(fp, fp) == 1.0 def test_protocol_conformance(self) -> None: from muse.core.harmony.engine import HarmonyPlugin plugin = CodePlugin() assert isinstance(plugin, HarmonyPlugin) assert callable(plugin.similarity) def test_fingerprint_is_sorted(self) -> None: src = "def foo(x, y):\n return x + y\n" fp = code_fingerprint(src) tokens = fp.split() assert tokens == sorted(tokens) # =========================================================================== # Tier VI — Security / robustness # =========================================================================== class TestSecurity: """VI: malformed input, oversized input, edge cases.""" def test_malformed_python_does_not_raise(self) -> None: # Syntax error → fallback tokenizer result = code_fingerprint("def foo(:\n return") assert isinstance(result, str) def test_unclosed_string_does_not_raise(self) -> None: result = code_fingerprint('x = "unclosed string') assert isinstance(result, str) def test_binary_looking_text_does_not_raise(self) -> None: # Non-Python that might confuse the tokenizer result = code_fingerprint("SELECT * FROM users WHERE id = 1;") assert isinstance(result, str) def test_very_large_input_does_not_oom(self) -> None: # 500 KB of code-ish text big = "x = 1\n" * 80_000 result = code_fingerprint(big) assert isinstance(result, str) def test_null_bytes_handled(self) -> None: result = code_fingerprint("x = 1\x00y = 2") assert isinstance(result, str) def test_unicode_identifiers_handled(self) -> None: # Python 3 supports unicode identifiers result = code_fingerprint("café = 1") assert isinstance(result, str) def test_similarity_with_garbage_strings(self) -> None: plugin = CodePlugin() result = plugin.similarity("garbage###", "more%%%garbage") assert 0.0 <= result <= 1.0 # =========================================================================== # Tier VII — Performance # =========================================================================== class TestPerformance: """VII: fingerprint <10ms per function; similarity <1ms.""" def test_fingerprint_typical_function_under_10ms(self) -> None: src = "\n".join([ "def process_audio_track(track, sample_rate, channels):", " buffer = AudioBuffer(sample_rate, channels)", " for frame in track.frames:", " normalized = frame.normalize()", " filtered = apply_low_pass(normalized, cutoff=8000)", " buffer.append(filtered)", " return buffer.render(format='wav')", ]) start = time.monotonic() code_fingerprint(src) elapsed = (time.monotonic() - start) * 1000 assert elapsed < 10, f"fingerprint took {elapsed:.1f}ms" def test_fingerprint_100_functions_under_100ms(self) -> None: functions = "\n".join( f"def f{i}(x, y):\n return x + y + {i}\n" for i in range(100) ) start = time.monotonic() code_fingerprint(functions) elapsed = (time.monotonic() - start) * 1000 assert elapsed < 100, f"fingerprint(100 fns) took {elapsed:.1f}ms" def test_similarity_under_1ms(self) -> None: fp1 = code_fingerprint("def foo(x): return x + 1") fp2 = code_fingerprint("def bar(y): return y + 2") start = time.monotonic() CodePlugin().similarity(fp1, fp2) elapsed = (time.monotonic() - start) * 1000 assert elapsed < 1, f"similarity took {elapsed:.2f}ms" def test_find_similar_20_patterns_under_100ms( self, repo: pathlib.Path ) -> None: fp = code_fingerprint("def run(x): return x.execute()") target = _make_pattern("target.py", fp, ours="to", theirs="tt") record_pattern(repo, target) for i in range(20): p = _make_pattern(f"s{i}.py", code_fingerprint(f"def go_{i}(obj_{i}): return obj_{i}.execute()"), ours=f"o{i}", theirs=f"t{i}") record_pattern(repo, p) save_resolution(repo, _make_resolution(p.pattern_id)) start = time.monotonic() find_similar(repo, target, plugin=CodePlugin()) elapsed = (time.monotonic() - start) * 1000 assert elapsed < 100, f"find_similar(20) took {elapsed:.1f}ms" # =========================================================================== # CLI validation: --semantic-fingerprint accepts non-hex64 fingerprints # =========================================================================== class TestCliFingerprint: """Verify _validate_fingerprint is used (not _validate_id) for semantic_fingerprint.""" def test_validate_fingerprint_accepts_token_string(self) -> None: from muse.core.harmony import _validate_fingerprint # Should not raise for a normalized token string _validate_fingerprint("( ) + : ID ID ID NUM def return", "semantic_fingerprint") def test_validate_fingerprint_accepts_hex64(self) -> None: from muse.core.harmony import _validate_fingerprint _validate_fingerprint(fake_id("anything"), "semantic_fingerprint") def test_validate_fingerprint_rejects_empty(self) -> None: from muse.core.harmony import _validate_fingerprint with pytest.raises(ValueError): _validate_fingerprint("", "semantic_fingerprint") def test_validate_fingerprint_rejects_null_byte(self) -> None: from muse.core.harmony import _validate_fingerprint with pytest.raises(ValueError): _validate_fingerprint("valid\x00null", "semantic_fingerprint") def test_validate_fingerprint_rejects_oversized(self) -> None: from muse.core.harmony import _validate_fingerprint with pytest.raises(ValueError): _validate_fingerprint("x " * 3000, "semantic_fingerprint") def test_cli_accepts_code_fingerprint_as_semantic( self, tmp_path: pathlib.Path, monkeypatch: pytest.MonkeyPatch ) -> None: """muse harmony record --semantic-fingerprint works.""" from tests.cli_test_helper import CliRunner muse_dir(tmp_path).mkdir() config_toml_path(tmp_path).write_text('[repo]\nname="t"\nid="x"\n') monkeypatch.chdir(tmp_path) runner = CliRunner() fp = code_fingerprint("def foo(x): return x + 1") r = runner.invoke(None, [ "harmony", "record", "--path", "src/foo.py", "--domain", "code", "--conflict-type", "content", "--ours-id", fake_id("ours"), "--theirs-id", fake_id("theirs"), "--semantic-fingerprint", fp, "--json", ]) assert r.exit_code == 0, r.output import json data = json.loads(r.output) assert "pattern_id" in data