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# parser.py
import ast
def get_category(node, parent=None):
"""Determine the category of an AST node or variable context, including variable roles."""
if isinstance(node, (ast.Import, ast.ImportFrom)):
return 'import'
elif isinstance(node, ast.FunctionDef) or isinstance(node, ast.AsyncFunctionDef):
return 'function'
elif isinstance(node, ast.ClassDef):
return 'class'
elif isinstance(node, ast.If):
return 'if'
elif isinstance(node, ast.While):
return 'while'
elif isinstance(node, ast.For):
return 'for'
elif isinstance(node, ast.Try):
return 'try'
elif isinstance(node, ast.Return):
return 'return'
elif isinstance(node, ast.Expr):
return 'expression'
elif isinstance(node, ast.ExceptHandler):
return 'except'
elif isinstance(node, (ast.Assign, ast.AnnAssign, ast.AugAssign)):
if parent and isinstance(parent, (ast.FunctionDef, ast.AsyncFunctionDef, ast.If, ast.Try, ast.While, ast.For)):
return 'assigned_variable'
elif isinstance(node, ast.arg): # Input variables in function definitions
if parent and isinstance(parent, (ast.FunctionDef, ast.AsyncFunctionDef)):
return 'input_variable'
elif isinstance(node, ast.Name): # Returned variables in return statements
if parent and isinstance(parent, ast.Return):
return 'returned_variable'
else:
return 'other' # Default to 'other' for unrecognized nodes
def create_vector(category, level, location, total_lines, parent_path):
"""Create a 6D vector optimized for role similarity, integrating variable roles into category_id."""
category_map = {
'import': 1, 'function': 2, 'async_function': 3, 'class': 4,
'if': 5, 'while': 6, 'for': 7, 'try': 8, 'expression': 9, 'spacer': 10,
'other': 11, 'elif': 12, 'else': 13, 'except': 14, 'finally': 15, 'return': 16,
'assigned_variable': 17, 'input_variable': 18, 'returned_variable': 19
}
category_id = category_map.get(category, 0) # Default to 0 for unknown categories
start_line, end_line = location
span = (end_line - start_line + 1) / total_lines
center_pos = ((start_line + end_line) / 2) / total_lines
parent_depth = len(parent_path)
parent_weight = sum(category_map.get(parent.split('[')[0].lower(), 0) * (1 / (i + 1))
for i, parent in enumerate(parent_path)) / max(1, len(category_map))
return [category_id, level, center_pos, span, parent_depth, parent_weight]
def is_blank_or_comment(line):
"""Check if a line is blank or a comment."""
stripped = line.strip()
return not stripped or stripped.startswith('#')
def parse_node(node, lines, prev_end, level=0, total_lines=None, parent_path=None, counters=None, processed_lines=None):
if total_lines is None:
total_lines = len(lines)
if parent_path is None:
parent_path = []
if counters is None:
counters = {cat: 0 for cat in ['import', 'function', 'async_function', 'class', 'if', 'while', 'for', 'try', 'return', 'expression', 'other', 'spacer', 'elif', 'else', 'except', 'finally', 'assigned_variable', 'input_variable', 'returned_variable']}
if processed_lines is None:
processed_lines = set()
parts = []
start_line = getattr(node, 'lineno', prev_end + 1)
end_line = getattr(node, 'end_lineno', start_line)
# Skip if any lines are already processed
if any(line in processed_lines for line in range(start_line, end_line + 1)):
return parts
# Get category, default to 'other' if None
category = get_category(node, parent_path[-1] if parent_path else None) or 'other'
if category not in counters:
category = 'other' # Ensure category exists in counters
counters[category] += 1
node_id = f"{category.capitalize()}[{counters[category]}]"
# Spacer before node (only for blank lines or comments)
if start_line > prev_end + 1:
spacer_lines = lines[prev_end:start_line - 1]
spacer_lines_set = set(range(prev_end + 1, start_line))
if not spacer_lines_set.issubset(processed_lines):
for i, line in enumerate(spacer_lines, prev_end + 1):
if i not in processed_lines and is_blank_or_comment(line):
counters['spacer'] += 1
spacer_node_id = f"Spacer[{counters['spacer']}]"
parts.append({
'category': 'spacer',
'source': line,
'location': (i, i),
'level': level,
'vector': create_vector('spacer', level, (i, i), total_lines, parent_path),
'parent_path': ' -> '.join(parent_path) if parent_path else 'Top-Level',
'node_id': spacer_node_id
})
processed_lines.add(i)
# Current node's header (e.g., 'def', 'if', 'try')
current_path = parent_path + [node_id]
if start_line not in processed_lines and not is_blank_or_comment(lines[start_line - 1]):
parts.append({
'category': category,
'source': lines[start_line - 1],
'location': (start_line, start_line),
'level': level,
'vector': create_vector(category, level, (start_line, start_line), total_lines, current_path),
'parent_path': ' -> '.join(parent_path) if parent_path else 'Top-Level',
'node_id': node_id
})
processed_lines.add(start_line)
# Handle variables in function definitions (input variables)
if isinstance(node, (ast.FunctionDef, ast.AsyncFunctionDef)) and node.args.args:
for arg in node.args.args:
var_start = start_line # Assume args are on the same line as function def for simplicity
if var_start not in processed_lines:
arg_category = get_category(arg, node) or 'input_variable'
if arg_category not in counters:
arg_category = 'input_variable'
counters[arg_category] += 1
var_node_id = f"InputVariable[{counters[arg_category]}]"
parts.append({
'category': arg_category,
'source': f" {arg.arg},", # Indented as part of function
'location': (var_start, var_start),
'level': level + 1,
'vector': create_vector(arg_category, level + 1, (var_start, var_start), total_lines, current_path),
'parent_path': f"{current_path[0]} -> {var_node_id}",
'node_id': var_node_id
})
processed_lines.add(var_start)
# Process nested bodies
nested_prev_end = start_line
for attr in ('body', 'orelse', 'handlers', 'finalbody'):
if hasattr(node, attr) and getattr(node, attr):
for child in getattr(node, attr):
child_start = getattr(child, 'lineno', nested_prev_end + 1)
child_end = getattr(child, 'end_lineno', child_start)
if not any(line in processed_lines for line in range(child_start, child_end + 1)):
if attr == 'orelse' and isinstance(node, ast.If) and child_start != start_line:
sub_category = 'elif' if 'elif' in lines[child_start - 1] else 'else'
if child_start not in processed_lines and not is_blank_or_comment(lines[child_start - 1]):
counters[sub_category] += 1
sub_node_id = f"{sub_category.capitalize()}[{counters[sub_category]}]"
parts.append({
'category': sub_category,
'source': lines[child_start - 1],
'location': (child_start, child_start),
'level': level,
'vector': create_vector(sub_category, level, (child_start, child_start), total_lines, current_path),
'parent_path': ' -> '.join(parent_path) if parent_path else 'Top-Level',
'node_id': sub_node_id
})
processed_lines.add(child_start)
child_parts = parse_node(child, lines, child_start, level + 1, total_lines, current_path, counters, processed_lines)
parts.extend(child_parts)
nested_prev_end = max(nested_prev_end, child_parts[-1]['location'][1] if child_parts else child_start)
elif attr == 'handlers' and isinstance(child, ast.ExceptHandler):
if child_start not in processed_lines and not is_blank_or_comment(lines[child_start - 1]):
counters['except'] += 1
sub_node_id = f"Except[{counters['except']}]"
parts.append({
'category': 'except',
'source': lines[child_start - 1],
'location': (child_start, child_start),
'level': level,
'vector': create_vector('except', level, (child_start, child_start), total_lines, current_path),
'parent_path': ' -> '.join(parent_path) if parent_path else 'Top-Level',
'node_id': sub_node_id
})
processed_lines.add(child_start)
child_parts = parse_node(child, lines, child_start, level + 1, total_lines, current_path, counters, processed_lines)
parts.extend(child_parts)
nested_prev_end = max(nested_prev_end, child_parts[-1]['location'][1] if child_parts else child_start)
elif attr == 'finalbody':
if child_start not in processed_lines and not is_blank_or_comment(lines[child_start - 1]):
counters['finally'] += 1
sub_node_id = f"Finally[{counters['finally']}]"
parts.append({
'category': 'finally',
'source': lines[child_start - 1],
'location': (child_start, child_start),
'level': level,
'vector': create_vector('finally', level, (child_start, child_start), total_lines, current_path),
'parent_path': ' -> '.join(parent_path) if parent_path else 'Top-Level',
'node_id': sub_node_id
})
processed_lines.add(child_start)
child_parts = parse_node(child, lines, child_start, level + 1, total_lines, current_path, counters, processed_lines)
parts.extend(child_parts)
nested_prev_end = max(nested_prev_end, child_parts[-1]['location'][1] if child_parts else child_start)
else:
# Handle assignments and returns for variable detection
if isinstance(child, (ast.Assign, ast.AnnAssign, ast.AugAssign)):
# Handle different target structures
if isinstance(child, ast.Assign):
for target in child.targets:
if isinstance(target, ast.Name):
var_start = child.lineno
if var_start not in processed_lines and not is_blank_or_comment(lines[var_start - 1]):
counters['assigned_variable'] += 1
var_node_id = f"AssignedVariable[{counters['assigned_variable']}]"
parts.append({
'category': 'assigned_variable',
'source': lines[var_start - 1],
'location': (var_start, var_start),
'level': level + 1,
'vector': create_vector('assigned_variable', level + 1, (var_start, var_start), total_lines, current_path),
'parent_path': f"{current_path[0]} -> {var_node_id}",
'node_id': var_node_id
})
processed_lines.add(var_start)
else: # AnnAssign or AugAssign
target = child.target
if isinstance(target, ast.Name):
var_start = child.lineno
if var_start not in processed_lines and not is_blank_or_comment(lines[var_start - 1]):
counters['assigned_variable'] += 1
var_node_id = f"AssignedVariable[{counters['assigned_variable']}]"
parts.append({
'category': 'assigned_variable',
'source': lines[var_start - 1],
'location': (var_start, var_start),
'level': level + 1,
'vector': create_vector('assigned_variable', level + 1, (var_start, var_start), total_lines, current_path),
'parent_path': f"{current_path[0]} -> {var_node_id}",
'node_id': var_node_id
})
processed_lines.add(var_start)
elif isinstance(child, ast.Return):
for value in ast.walk(child):
if isinstance(value, ast.Name):
var_start = child.lineno
if var_start not in processed_lines and not is_blank_or_comment(lines[var_start - 1]):
counters['returned_variable'] += 1
var_node_id = f"ReturnedVariable[{counters['returned_variable']}]"
parts.append({
'category': 'returned_variable',
'source': lines[var_start - 1],
'location': (var_start, var_start),
'level': level + 1,
'vector': create_vector('returned_variable', level + 1, (var_start, var_start), total_lines, current_path),
'parent_path': f"{current_path[0]} -> {var_node_id}",
'node_id': var_node_id
})
processed_lines.add(var_start)
child_parts = parse_node(child, lines, nested_prev_end, level + 1, total_lines, current_path, counters, processed_lines)
parts.extend(child_parts)
nested_prev_end = child_parts[-1]['location'][1] if child_parts else nested_prev_end
# Update end_line and source of the parent node if its body extends it
if nested_prev_end > start_line and start_line not in processed_lines:
final_end = nested_prev_end
if start_line not in processed_lines:
parts[-1]['location'] = (start_line, final_end)
parts[-1]['source'] = ''.join(lines[start_line - 1:final_end])
parts[-1]['vector'] = create_vector(category, level, (start_line, final_end), total_lines, current_path)
processed_lines.update(range(start_line, final_end + 1))
return parts
def parse_python_code(code):
lines = code.splitlines(keepends=True)
total_lines = len(lines)
try:
tree = ast.parse(code)
except SyntaxError:
return [{'category': 'error', 'source': 'Invalid Python code', 'location': (1, 1), 'level': 0, 'vector': [0, 0, 1.0, 0.0, 0, 0], 'parent_path': 'Top-Level', 'node_id': 'Error[1]'}]
parts = []
prev_end = 0
processed_lines = set()
for stmt in tree.body:
stmt_parts = parse_node(stmt, lines, prev_end, total_lines=total_lines, processed_lines=processed_lines)
parts.extend(stmt_parts)
prev_end = stmt_parts[-1]['location'][1] if stmt_parts else prev_end
if prev_end < total_lines:
remaining_lines = lines[prev_end:]
remaining_lines_set = set(range(prev_end + 1, total_lines + 1))
if not remaining_lines_set.issubset(processed_lines):
for i, line in enumerate(remaining_lines, prev_end + 1):
if i not in processed_lines:
if is_blank_or_comment(line):
counters = {'spacer': 0}
counters['spacer'] += 1
spacer_node_id = f"Spacer[{counters['spacer']}]"
parts.append({
'category': 'spacer',
'source': line,
'location': (i, i),
'level': 0,
'vector': create_vector('spacer', 0, (i, i), total_lines, []),
'parent_path': 'Top-Level',
'node_id': spacer_node_id
})
processed_lines.add(i)
return parts
def is_blank_or_comment(line):
"""Check if a line is blank or a comment."""
stripped = line.strip()
return not stripped or stripped.startswith('#') |