import json import os import pickle import sys from typing import Dict import yaml value_map = { 'LF_STRUCTURE': 'Class', 'LF_UNION': 'Union', 'LF_BITFIELD': 'BitField', 'LF_POINTER': 'Pointer', 'LF_FIELDLIST': 'FieldList', 'LF_MODIFIER': 'Modifier', 'LF_ARRAY': 'Array', 'LF_ENUMERATE': 'Enumerator', 'LF_ENUM': 'Enum' } # TODO: Find a way of pulling this type map from the yaml type_map = { 0x3: ("void", 4), 0x5: ("function", 4), 0x11: ("short", 2), 0x12: ("long", 4), 0x13: ("long long", 8), 0x20: ("unsigned char", 1), 0x21: ("unsigned short", 2), 0x22: ("unsigned long", 4), 0x23: ("unsigned long long", 8), 0x41: ("double", 4), 0x70: ("char", 1), 0x71: ("wchar", 2), 0x74: ("int", 4), 0x75: ("unsigned int", 4), } STRUCTURE = 0x1000 POINTER = 0x600 DEFAULT_REGISTER_SIZE = 8 class SymbolConverter: def __init__(self, yaml_data): self._yaml_data = yaml_data self._records = self._yaml_data.get('TpiStream', {}).get('Records', {}) self._result = {} self._unnamed_counter = 1 self._json_data = self._convert() def _convert(self): if not self._records: raise ValueError("YAML data does not contain TpiStream.Records") result = {'user_types': {}, 'enums': {}} record_types = set() for record_index in range(len(self._records)): parsed_record, parsed_name, parsed_type = self._convert_record(record_index) if parsed_record and (parsed_type in ['LF_STRUCTURE', 'LF_UNION']): result['user_types'].update({parsed_name: parsed_record}) elif parsed_record and (parsed_type in ['LF_ENUM']): result['enums'].update({parsed_name: parsed_record}) else: record_types.add(self._records[record_index]['Kind']) self._result = result self._fix_inaccurate_array_sizes(result) return self._result def _fix_inaccurate_array_sizes(self, result: dict): for entry_name in result: entry = result[entry_name] if not isinstance(entry, (dict, list)): continue if 'array_count_inaccurate' not in entry: self._fix_inaccurate_array_sizes(entry) else: array_subtype_kind = entry.get('subtype', {}).get('kind', "") if array_subtype_kind in ['struct', 'union']: entry_struct = entry['subtype']['name'] entry_size = self._result['user_types'][entry_struct]['size'] elif array_subtype_kind == 'enum': entry_struct = entry['subtype']['name'] entry_size = self._result['enums'][entry_struct]['size'] elif array_subtype_kind == 'pointer': # FIXME: Figure out if we're 32 bit or not entry_size = DEFAULT_REGISTER_SIZE elif array_subtype_kind == 'base': entry_size = 0 for i in type_map: if type_map[i][0] == entry['subtype']['name']: entry_size = type_map[i][1] else: entry_size = DEFAULT_REGISTER_SIZE entry['count'] = entry['count'] // entry_size del entry['array_count_inaccurate'] result[entry_name] = entry def _convert_record(self, record_index: int, field: bool = False): """Converts a record into a dictionary""" # Handle changes to the lookup if this is a field if field and record_index >= STRUCTURE: record_index -= STRUCTURE elif field and record_index >= POINTER: record_index -= POINTER return {'kind': 'pointer', 'subtype': {'kind': 'base', 'name': type_map[record_index][0]}}, None, None elif field and record_index in type_map: return {'kind': 'base', 'name': type_map[record_index][0]}, None, None elif field: print("Unknown base type found: {:x}".format(record_index)) record = self._records[record_index] record_kind = record.get('Kind', "") if not record_kind: print("Record contains no record kind") record_data = record.get(value_map.get(record_kind, None), {}) record_name = None forward_ref = False if isinstance(record_data, dict): record_name = record_data.get('Name', None) if record_name == '': record_data['Name'] = '__unnamed_{}'.format(self._unnamed_counter) record_name = record_data['Name'] self._unnamed_counter += 1 forward_ref = 'ForwardReference' in record_data.get('Options', []) # if record_name == 'CMP_OFFSET_ARRAY': # import pdb # pdb.set_trace() if not field and forward_ref: return {}, None, record_kind else: output = {} if record_kind == 'LF_STRUCTURE': output = {'kind': 'struct'} if field: output['name'] = record_name else: output['size'] = record_data.get('Size', 0) if record_data.get('MemberCount', 0) > 0: sub_output, _, _ = self._convert_record(record_data.get('FieldList', 0), True) output['fields'] = sub_output elif record_kind == 'LF_UNION': output = {'kind': 'union'} if field: output['name'] = record_name else: output['size'] = record_data.get('Size', 0) if record_data.get('MemberCount', 0) > 0: sub_output, _, _ = self._convert_record(record_data.get('FieldList', 0), True) output['fields'] = sub_output elif record_kind == 'LF_POINTER': subtype, _, subtype_type = self._convert_record(record_data.get('ReferentType', 0), True) if subtype_type == 'LF_PROCEDURE': output = {'kind': 'pointer', 'subtype': {'kind': 'function'}} else: output = {'kind': 'pointer', 'subtype': subtype} elif record_kind == 'LF_PROCEDURE': if field: output = {'kind': 'pointer', 'subtype': {'kind': 'base', 'name': 'void'}} else: output = {'kind': 'function'} elif record_kind == 'LF_MODIFIER': output, _, _ = self._convert_record(record_data.get('ModifiedType'), True) elif record_kind == 'LF_BITFIELD': subtype, _, _ = self._convert_record(record_data.get('Type'), True) output = { 'kind': 'bitfield', 'bit_length': record_data.get('BitSize', -1), 'bit_position': record_data.get('BitOffset', -1), 'type': subtype } elif record_kind == 'LF_ENUM': if field: output = {'kind': 'enum', 'name': record_data.get('Name')} else: output = { 'base': self._convert_record(record_data.get('UnderlyingType'), True)[0]['name'], 'size': 4, 'constants': self._convert_record(record_data.get('FieldList'), True)[0] } elif record_kind == 'LF_ARRAY': subtype, _, _ = self._convert_record(record_data.get('ElementType'), True) output = {'kind': 'array', 'subtype': subtype} print("INACCURATE", hex(record_data.get('ElementType')), repr(subtype)) output['count'] = record_data.get('Size', -1) output['array_count_inaccurate'] = True elif record_kind == 'LF_FIELDLIST': fields = {} for field in record_data: if field.get('Kind', "") == 'LF_ENUMERATE': enumerator = field.get('Enumerator', {}) field_name = enumerator.get('Name', "") field_value = enumerator.get('Value', "") fields[field_name] = field_value else: data_member = field.get('DataMember', {}) field_name = data_member.get('Name', "") field_offset = data_member.get('FieldOffset', 0) field_type = data_member.get('Type', -1) fields[field_name] = {'offset': field_offset} subtype, _, _ = self._convert_record(field_type, True) if subtype: fields[field_name]['type'] = subtype if fields: output = fields return output, record_name, record_kind def export_json(self) -> Dict: return self._json_data if __name__ == '__main__': if len(sys.argv) < 2 or not os.path.exists(sys.argv[1]): print("Usage: python llvm2pdb.py ") sys.exit(1) data = yaml.load(open(sys.argv[1], 'r').read()) stream = data['TpiStream'] for item_idx in range(len(stream['Records'])): item = stream['Records'][item_idx] if item.get('FieldList', []): for entry_idx in range(len(item['FieldList'])): entry = item['FieldList'][entry_idx] if entry.get('DataMember', {}).get('Name', '') == 'AccountingFolded': print("Found", item_idx) sc = SymbolConverter(data) print() print(sc.export_json()) with open("output.json", "w") as f: json.dump(sc.export_json(), f, indent = 2, sort_keys = True)