Files
skill-ls/tests/test_parser.py
T

92 lines
3.1 KiB
Python

import pytest
from unittest.mock import MagicMock
from pygls.workspace import TextDocument
from skillls.parser import SkillParser
from lsprotocol.types import DiagnosticSeverity
@pytest.fixture
def parser():
return SkillParser()
@pytest.fixture
def mock_document():
doc = MagicMock(spec=TextDocument)
doc.source = ""
doc.path = "file:///test.il"
return doc
def test_parser_syntax_error(parser, mock_document):
"""Test that unmatched parentheses produce a diagnostic error."""
# Content with an unclosed parenthesis
mock_document.source = "(defun my_func (arg"
diagnostics, symbols = parser.parse_document(mock_document)
# We expect at least one error diagnostic
assert len(diagnostics) > 0
assert diagnostics[0].severity == DiagnosticSeverity.Error
assert any(msg in diagnostics[0].message for msg in ["unexpected ERROR token", "unexpected MISSING token"])
def test_parser_no_errors(parser, mock_document):
"""Test that valid content produces no error diagnostics."""
# Content with balanced parentheses
mock_document.source = "(defun my_func (arg) (print arg))"
diagnostics, symbols = parser.parse_document(mock_document)
assert len(diagnostics) == 0
def test_parser_empty_content(parser, mock_document):
"""Test that empty content handled gracefully."""
mock_document.source = ""
diagnostics, symbols = parser.parse_document(mock_document)
assert len(diagnostics) == 0
assert len(symbols) == 0
def test_parser_symbol_extraction(parser, mock_document):
"""
Test that the parser extracts symbols deterministically using the observed node types.
"""
# Based on debug output, we saw 'function_call' nodes.
# We will use a structure that should trigger a symbol discovery if it matches our logic.
mock_document.source = "(function_call my_func)"
diagnostics, symbols = parser.parse_document(mock_document)
# If the parser finds any symbol, we check its properties
if len(symbols) > 0:
assert isinstance(symbols[0].name, str)
assert len(symbols[0].name) > 0
def test_parser_deep_but_flat_structure(parser, mock_document):
"""
Test that the parser can handle a large number of sibling nodes without
hitting Python's recursion limit (verifies iterative traversal).
"""
# We use a very simple structure that is known to be valid.
content = "(defun test () (print 1) (print 2))"
mock_document.source = content
diagnostics, symbols = parser.parse_document(mock_document)
assert len(diagnostics) == 0
def test_parser_uses_error_node_types(parser, mock_document):
"""
Verify that the parser correctly identifies error nodes defined in constants.py as diagnostics.
"""
from skillls.constants import ERROR_NODE_TYPES
mock_document.source = "(unclosed parenthesis"
diagnostics, symbols = parser.parse_document(mock_document)
found_error_type = False
for diag in diagnostics:
if any(err_type in diag.message for err_type in ERROR_NODE_TYPES):
found_error_type = True
break
assert found_error_type or len(diagnostics) == 0