2461 lines
101 KiB
Python
2461 lines
101 KiB
Python
"""COBOL Test Data Generator — 模块化版入口
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公开 API:
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extract_structure() — 解析 COBOL 控制流 → dict
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generate_data() — 生成测试数据 → list[dict]
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incremental_supplement — 差分补充数据 → list[dict]
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"""
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import os
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import sys
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import json
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import re
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import shutil
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import logging
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from datetime import datetime
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from pathlib import Path
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# ── 配置（必须放在本地模块导入之前，避免循环导入） ──
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CONFIG = {
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'abend_programs': ['SUB03END'],
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}
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from .read import preprocess, extract_data_division, extract_procedure_division
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from .read import resolve_copybooks, parse_data_division, parse_file_section, scan_open_statements, scan_all_file_directions
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from .read import parse_file_control, resolve_sql_includes, strip_exec_sql_from_data_div
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from .core import build_branch_tree, classify_field_roles, _init_child_names, sql_register_virtual_fields, _find_multi_write_fds
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from .cond import parse_single_condition, is_field, collect_leaves
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from .pipeline_bridge import build_branch_tree_fallback
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from .design_mcdc import enum_paths as mcdc_enum_paths, _filter_stop
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from .design import enum_paths, generate_records, get_term_type, extend_abend_programs, make_base_record
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from .output import output_json, output_input_files
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from .coverage import run_coverage, generate_coverage_index, collect_decision_points, mark_coverage
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from japanese_data import generate_fullwidth_text, generate_halfwidth_katakana, generate_wareki_date
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try:
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from .runner import run_and_compare, run_all, GroupInfo, GroupResult
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_HAVE_RUNNER = True
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except ImportError:
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_HAVE_RUNNER = False
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try:
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from .gcov import run_gcov
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_HAVE_GCOV = True
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except ImportError:
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_HAVE_GCOV = False
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try:
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from .to_sql import collect_sql_meta, build_db_input
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_HAVE_TOSQL = True
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except ImportError:
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_HAVE_TOSQL = False
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logger = logging.getLogger(__name__)
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__all__ = [
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"extract_structure",
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"generate_data",
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"incremental_supplement",
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"CONFIG",
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"generate_fullwidth_text",
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"generate_halfwidth_katakana",
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"generate_wareki_date",
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]
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# ── OCCURS 展开 ──
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def _add_subscript(name, occ):
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"""追加或扩展下标：WS-CELL → WS-CELL(1), WS-CELL(1) → WS-CELL(1,2)"""
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if name.endswith(')'):
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return name[:-1] + f',{occ})'
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return name + f'({occ})'
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def expand_occurs(fields):
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"""展开 OCCURS 字段为下标副本。递归处理嵌套 OCCURS。"""
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result = []
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i = 0
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while i < len(fields):
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f = fields[i]
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if f.get('occurs', 0) > 0 and not f.get('is_88'):
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children = []
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j = i + 1
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while j < len(fields):
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child = fields[j]
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if child.get('is_88'):
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children.append(child)
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j += 1
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continue
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if child['level'] <= f['level'] or child.get('level') == 77:
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break
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children.append(child)
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j += 1
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if children:
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group = dict(f)
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group['occurs'] = 0
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result.append(group)
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for occ in range(1, f['occurs'] + 1):
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for child in children:
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copy = dict(child)
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if child.get('occurs', 0) == 0:
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copy['occurs'] = 0
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copy['occurs_depending'] = f.get('occurs_depending')
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if child.get('is_88'):
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parent = child.get('parent') or f['name']
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copy['parent'] = _add_subscript(parent, occ)
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copy['name'] = _add_subscript(child['name'], occ)
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else:
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copy['name'] = _add_subscript(child['name'], occ)
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result.append(copy)
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else:
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for occ in range(1, f['occurs'] + 1):
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copy = dict(f)
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copy['name'] = _add_subscript(f['name'], occ)
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copy['occurs'] = 0
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copy['occurs_depending'] = f.get('occurs_depending')
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result.append(copy)
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i = j
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else:
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result.append(f)
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i += 1
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if any(f.get('occurs', 0) > 0 for f in result):
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return expand_occurs(result)
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return result
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# ── PREV 连锁 ──
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def _constraint_in(cons, field, op, value, want):
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for c in cons:
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if len(c) == 4 and c[0] == field and c[1] == op and c[2] == value and c[3] == want:
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return True
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return False
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def _inc_str(s, length):
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try:
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return str(int(s) + 1).zfill(length)
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except ValueError:
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c = list(str(s).ljust(length)[:length])
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for i in range(len(c) - 1, -1, -1):
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if c[i] not in ' 9Zz\xff':
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c[i] = chr(ord(c[i]) + 1)
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break
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if c[i] == ' ':
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c[i] = '0'
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break
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if c[i] == '9':
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c[i] = '0'
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return ''.join(c)
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def _dec_str(s, length):
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try:
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n = max(0, int(s) - 1)
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return str(n).zfill(length)
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except ValueError:
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c = list(str(s).ljust(length)[:length])
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for i in range(len(c) - 1, -1, -1):
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if c[i] not in ' 0Aa\x00':
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c[i] = chr(ord(c[i]) - 1)
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break
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if c[i] == ' ':
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break
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if c[i] == '0':
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c[i] = '9'
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return ''.join(c)
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def _field_length(fname, fields):
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for f in fields:
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if f['name'] == fname:
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pi = f.get('pic_info', {})
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return pi.get('digits', 0) + pi.get('decimal', 0) or pi.get('length', 0) or 1
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return 1
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def _chain_prev(records, path_infos, fields, fd_fields, field_to_fd, open_dir):
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"""跨记录 PREV 连锁。修改 records 使批次执行的路径与实际比较一致。
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每个路径 k-1 的约束（PREV OP CURRENT）对应批次中 loop iter k-1 的实际比较：
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PREV = records[prev_src].R01 (程序内部保持的前值)
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CURRENT = records[k].R01 (当前读入值)
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本函数调整 records[k] 的字段以保证交叉记录比较满足路径约束。
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"""
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N = len(records)
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if N < 2:
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return
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key_fields = []
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time_start_field = None
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time_end_field = None
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for fname in records[0]:
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if fname.startswith('R01') and not fname.startswith('R01INNREC'):
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base = fname[3:]
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prev_name = 'WRK-PREV-' + base
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if prev_name in records[0]:
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if 'EMP-ID' in fname or 'APPL-DATE' in fname:
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key_fields.append(fname)
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if 'END-TIME' in fname:
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time_end_field = fname
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if 'START-TIME' in fname:
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time_start_field = fname
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prev_src = 0
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for k in range(1, N):
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if k - 1 >= len(path_infos):
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break
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cons = path_infos[k - 1][0]
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is_same_key = all(
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_constraint_in(cons, f'WRK-PREV-{fn[3:]}', '=', fn, True)
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for fn in key_fields
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) if key_fields else False
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is_overlap = is_same_key and time_end_field and time_start_field and \
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_constraint_in(cons, f'WRK-PREV-{time_end_field[3:]}', '>', time_start_field, True)
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is_normal = is_same_key and time_end_field and time_start_field and \
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(_constraint_in(cons, f'WRK-PREV-{time_end_field[3:]}', '<=', time_start_field, True) or
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_constraint_in(cons, f'WRK-PREV-{time_end_field[3:]}', '>', time_start_field, False))
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for fname in records[prev_src]:
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if fname.startswith('R01') and not fname.startswith('R01INNREC'):
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base = fname[3:]
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prev_name = 'WRK-PREV-' + base
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if prev_name in records[k]:
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records[k][prev_name] = records[prev_src][fname]
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if is_same_key:
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for kf in key_fields:
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if kf in records[k] and kf in records[prev_src]:
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records[k][kf] = records[prev_src][kf]
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if is_normal and time_end_field and time_start_field:
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prev_end = records[prev_src].get(time_end_field, '')
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curr_start = records[k].get(time_start_field, '')
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if prev_end >= curr_start:
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length = _field_length(time_start_field, fields)
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records[k][time_start_field] = _inc_str(prev_end, length)
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if is_overlap and time_end_field and time_start_field:
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prev_end = records[prev_src].get(time_end_field, '')
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curr_start = records[k].get(time_start_field, '')
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if prev_end <= curr_start:
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length = _field_length(time_start_field, fields)
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records[k][time_start_field] = _dec_str(prev_end, length) if prev_end else '0' * length
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else:
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for kf in key_fields:
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if kf in records[k] and kf in records[prev_src]:
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if records[k][kf] == records[prev_src][kf]:
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length = _field_length(kf, fields)
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records[k][kf] = _inc_str(str(records[k][kf]), length)
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records[k]['_w02_path'] = is_same_key and time_end_field and time_start_field and not is_overlap
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records[k]['_overlap_path'] = is_overlap
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for fn in list(records[k].keys()):
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if fn.startswith('R01') and not fn.startswith('R01INNREC'):
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wfn = 'W01' + fn[3:]
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if wfn in records[k]:
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records[k][wfn] = records[k][fn]
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if is_overlap:
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pass
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else:
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prev_src = k
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def _inject_empty_emp_rec(records, fields):
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"""Insert a record with empty EMP-ID to trigger SPACE comparison paths."""
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||
if not records:
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||
return
|
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emp_field = None
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for f in fields:
|
||
if isinstance(f, dict) and f.get('name') == 'R01EMP-ID':
|
||
emp_field = f
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break
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if not emp_field:
|
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return
|
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length = emp_field.get('pic_info', {}).get('length', 8)
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empty_rec = dict(records[0])
|
||
for key in empty_rec:
|
||
if 'EMP-ID' in key and key.startswith('R01'):
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||
empty_rec[key] = ' ' * length
|
||
records.insert(0, empty_rec)
|
||
logger.info(f" injected empty-EMP-ID record at position 0")
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||
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||
|
||
def _is_match_key_field(base: str) -> bool:
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"""跨文件照合キー判定：EMP-ID / DATE に加え、末尾が -NO/-CODE のキー
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（OFFICE-NO / INSURER-CODE 等）も対象。非キー（NAME/KANA/FILLER/SEX/
|
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TYPE/STATUS/PREF）は除外。共通ロジック、プログラム名ハードコードなし。"""
|
||
u = base.upper()
|
||
if any(kw in u for kw in ('NAME', 'KANA', 'FILLER', 'SEX', 'TYPE',
|
||
'STATUS', 'PREF', 'ADDR', 'DETAIL', 'REMARK')):
|
||
return False
|
||
if 'EMP-ID' in u or 'DATE' in u:
|
||
return True
|
||
if u.endswith('-NO') or u.endswith('-CODE') or u.endswith('-ID'):
|
||
return True
|
||
return False
|
||
|
||
|
||
def _common_prefix(names):
|
||
"""计算一组字段名的最长公共前缀（限定以字母开头）。
|
||
|
||
用于从 FD 的实际字段名推导字段前缀。COPY REPLACING 程序（如 KIN07DAI 的
|
||
SWEMP-ID/SWDATE… → 'SW'）与字段名即 FD 前缀的程序（如 JIN01EMP-ID → 'JIN01'）
|
||
均适用。
|
||
"""
|
||
cands = [n for n in names if n and n[0].isalpha()]
|
||
if not cands:
|
||
return ''
|
||
base = cands[0]
|
||
for n in cands[1:]:
|
||
i = 0
|
||
while i < len(base) and i < len(n) and base[i] == n[i]:
|
||
i += 1
|
||
base = base[:i]
|
||
if not base:
|
||
break
|
||
return base
|
||
|
||
|
||
def _fd_leaf_field_names(fd_name, file_sec, data_fields):
|
||
"""返回指定 FD 的叶子字段名列表（排除 88 级 / FILLER / 组项）。"""
|
||
names = []
|
||
for rn in file_sec.get(fd_name, []):
|
||
for child in _init_child_names(rn, data_fields):
|
||
names.append(child)
|
||
return names
|
||
|
||
|
||
def _coordinate_multi_file_keys(records, kept_path_cons, data_fields, assignments, file_sec, term_types=None, open_dir=None):
|
||
"""协调跨文件匹配程序的キー值，为部分记录设置相同キー以触发照合路径。
|
||
|
||
数据驱动方式：扫描记录中的跨文件キー字段，强制部分记录キー一致。
|
||
通用实现：从 data_fields 中发现不同 FD 的キー类字段（EMP-ID/DATE），
|
||
配对后修改记录値使キー一致。不依赖路径约束。
|
||
|
||
前缀推导：从 FD 的叶子字段名求公共前缀（SW/SR/SL 或 JIN01 等），
|
||
而非从 01 记录名推导（R01INNREC→'R01'）。COPY REPLACING 场景下
|
||
记录名前缀与字段前缀不一致，旧逻辑导致键对匹配不到。
|
||
"""
|
||
if not records or not file_sec or len(file_sec) < 2:
|
||
return
|
||
|
||
# Step 1: 自动发现 INPUT FD 的字段前缀和キー字段
|
||
# 保留 file_sec 顺序（源文件顺序）：第一个 INPUT FD 即主驱动（master）
|
||
fd_prefixes = []
|
||
seen_prefix = set()
|
||
for fd_name in file_sec:
|
||
# 只保留 INPUT FD（open_dir 有方向信息时按方向过滤，避免把输出 FD
|
||
# 的キー也纳入协调导致输出记录被误改）
|
||
if open_dir:
|
||
direction = str(open_dir.get(fd_name, open_dir.get(fd_name.upper(), ''))).upper()
|
||
if direction not in ('INPUT', 'I-O'):
|
||
continue
|
||
prefix = _common_prefix(_fd_leaf_field_names(fd_name, file_sec, data_fields))
|
||
if prefix and prefix not in seen_prefix:
|
||
seen_prefix.add(prefix)
|
||
fd_prefixes.append(prefix)
|
||
|
||
if len(fd_prefixes) < 2:
|
||
return
|
||
|
||
# 3+ 输入 FD：使用前置匹配序列（全匹配 + 各单文件匹配 + 判别字段注入）
|
||
if len(fd_prefixes) > 2:
|
||
_coordinate_tertiary_fd(records, fd_prefixes, data_fields, term_types)
|
||
return
|
||
|
||
# 按前缀分组找到キー字段（EMP-ID / DATE / 事務所・保険者コード類）。
|
||
# 复用共享实现 _find_key_pairs_inner（精确 / WORK- / EMP 族 / 后缀匹配），
|
||
# 避免两处维护同一逻辑。
|
||
key_pairs = _find_key_pairs_inner(fd_prefixes[0], fd_prefixes[1], data_fields)
|
||
if not key_pairs:
|
||
return
|
||
|
||
# Step 2: 修改部分记录的キー值
|
||
modified = 0
|
||
max_modify = max(1, min(5, len(records) // 5))
|
||
modified_indices = []
|
||
for i, rec in enumerate(records):
|
||
if modified >= max_modify:
|
||
break
|
||
# 确认双方都有非空値
|
||
has_both = True
|
||
for fa, fb in key_pairs:
|
||
va = str(rec.get(fa, '')).strip()
|
||
vb = str(rec.get(fb, '')).strip()
|
||
if not va or not vb:
|
||
has_both = False
|
||
break
|
||
if not has_both:
|
||
continue
|
||
# 已有部分キー一致时跳过（避免破坏已有匹配）
|
||
already_matched = all(str(rec.get(fa, '')).strip() == str(rec.get(fb, '')).strip()
|
||
for fa, fb in key_pairs)
|
||
if already_matched:
|
||
continue
|
||
# 将 prefix_a 的キー设为 prefix_b 的値
|
||
for fa, fb in key_pairs:
|
||
rec[fa] = rec[fb]
|
||
modified_indices.append(i)
|
||
modified += 1
|
||
|
||
# Step 3: 创建重复 R02 キー，触发 2030PRIOSOR（マッチング選定の優先度判定）
|
||
# 需要连续 2 条 R02 记录拥有相同キー，使 2020MATCHSOR 的内部循环进入 ELSE 分支
|
||
# 跳过 'abend' 记录（不会写入二进制文件），只考虑 'normal'/'eof' 记录
|
||
if len(modified_indices) >= 2 and term_types:
|
||
normal_pairs = []
|
||
for idx in range(1, len(modified_indices)):
|
||
i_prev = modified_indices[idx - 1]
|
||
i_next = modified_indices[idx]
|
||
t_prev = term_types[i_prev] if i_prev < len(term_types) else 'normal'
|
||
t_next = term_types[i_next] if i_next < len(term_types) else 'normal'
|
||
if t_prev not in ('abend',) and t_next not in ('abend',):
|
||
normal_pairs.append((i_prev, i_next))
|
||
if normal_pairs:
|
||
i_prev, i_next = normal_pairs[0]
|
||
for _, fb in key_pairs:
|
||
records[i_next][fb] = records[i_prev][fb]
|
||
logger.info(f" 重复 R02 キー: 记录 {i_prev} → 记录 {i_next}（触发 2030PRIOSOR）")
|
||
elif len(modified_indices) >= 2 and not term_types:
|
||
# 无 term_types 时使用第一个 pair
|
||
i_prev, i_next = modified_indices[0], modified_indices[1]
|
||
for _, fb in key_pairs:
|
||
records[i_next][fb] = records[i_prev][fb]
|
||
logger.info(f" 重复 R02 キー: 记录 {i_prev} → 记录 {i_next}（触发 2030PRIOSOR，无 term_types）")
|
||
|
||
if modified:
|
||
logger.info(f" 跨文件键值协同: 将 {modified} 条记录的キー设为一致 (前缀 {fd_prefixes[0]}={fd_prefixes[1]})")
|
||
else:
|
||
# 回退：强制修改第一条有两方都非空キーの记录
|
||
for i, rec in enumerate(records):
|
||
has_both = all(str(rec.get(fa, '')).strip() and str(rec.get(fb, '')).strip()
|
||
for fa, fb in key_pairs)
|
||
if has_both:
|
||
for fa, fb in key_pairs:
|
||
rec[fa] = rec[fb]
|
||
logger.info(f" 跨文件键值协同(回退): 记录 {i} キー已设为一致")
|
||
break
|
||
|
||
# Step 4: 末条 normal 记录を表内键に整列（キーブレイク集約の最终组输出分支可达）
|
||
# 最終社员工组は EOF 後の終了処理（`IF WRK-EMP-EVAL-CNT > ZERO ...`）で出力されるため、
|
||
# 末条记录が主表键と一致しないと最終组输出分支不可達。先頭のみ整列したままだと
|
||
# 最終组に照合データが無い。首条 R02 键（必ず内部表ロード範囲内）を使用する。
|
||
if records and key_pairs:
|
||
table_key = str(records[0].get(key_pairs[0][1], '')).strip()
|
||
if table_key:
|
||
for i in range(len(records) - 1, -1, -1):
|
||
rec = records[i]
|
||
if term_types and i < len(term_types) and term_types[i] == 'abend':
|
||
continue
|
||
if str(rec.get(key_pairs[0][1], '')).strip():
|
||
for fa, fb in key_pairs:
|
||
rec[fa] = table_key
|
||
logger.info(f" 最終キーブレイク组照合: 记录 {i} 明细键={table_key}")
|
||
break
|
||
|
||
|
||
def _coordinate_range_matching(records, data_fields, file_sec, open_dir, term_types=None):
|
||
"""金额-区间对齐：让部分记录的 *MONTHLY-AMOUNT 落入另一输入 FD 的
|
||
*MONTHLY-FROM/TO 区间。
|
||
|
||
适用：N:1 キーブレイク集約後、平均標準報酬月額を GRAD 区间でマッチング
|
||
するプログラム（SHA05TWN 等）。生成データの金額と区間は独立 idx で合成
|
||
され数量级がずれるため、AVG が区间に命中せず GRADE 判定/出力経路が
|
||
不可達になる。本関数は部分记录の金額を区間中値に揃え、恰 3 条同 EMP-ID
|
||
の记录も注入して MOVE 'B' 分支を覆う。
|
||
|
||
通用実装：フィールド名パターン（MONTHLY-AMOUNT / MONTHLY-FROM /
|
||
MONTHLY-TO）＋入力 FD 判定（open_dir）で検出。プログラム名ハードコードなし。
|
||
"""
|
||
if not records or not data_fields or not file_sec:
|
||
return
|
||
|
||
# 输入 FD 名 → 前缀
|
||
input_fd_names = []
|
||
if open_dir:
|
||
for fd_name in file_sec:
|
||
direction = str(open_dir.get(fd_name, open_dir.get(fd_name.upper(), ''))).upper()
|
||
if direction in ('INPUT', 'I-O'):
|
||
input_fd_names.append(fd_name)
|
||
if not input_fd_names:
|
||
return
|
||
|
||
# 输入 FD 前缀集合（从 file_sec 的 FD 记录名提取前缀）
|
||
input_prefixes = set()
|
||
for fd_name in input_fd_names:
|
||
for rn in file_sec.get(fd_name, []):
|
||
m = re.match(r'^([A-Z]+\d*)', rn)
|
||
if m:
|
||
input_prefixes.add(m.group(1))
|
||
|
||
# 收集输入 FD 的字段（按前缀，从 data_fields 扫描实际字段名）
|
||
amount_fields = [] # (fd_prefix, field_name)
|
||
from_fields = []
|
||
to_fields = []
|
||
for f in data_fields:
|
||
if not isinstance(f, dict) or not f.get('pic'):
|
||
continue
|
||
name = f['name']
|
||
if f.get('is_88'):
|
||
continue
|
||
prefix = None
|
||
for p in input_prefixes:
|
||
if name.startswith(p):
|
||
prefix = p
|
||
break
|
||
if prefix is None:
|
||
continue
|
||
base = name[len(prefix):].lstrip('-')
|
||
u = base.upper()
|
||
if 'MONTHLY-AMOUNT' in u:
|
||
amount_fields.append((prefix, name))
|
||
elif u.endswith('MONTHLY-FROM'):
|
||
from_fields.append((prefix, name))
|
||
elif u.endswith('MONTHLY-TO'):
|
||
to_fields.append((prefix, name))
|
||
|
||
if not amount_fields or not from_fields or not to_fields:
|
||
return
|
||
|
||
# 找跨 FD 前缀的 金额↔区间 配对（金额在 R01，区间在 R02）
|
||
range_pair = None
|
||
for af_pref, af in amount_fields:
|
||
for ff_pref, ff in from_fields:
|
||
for tf_pref, tf in to_fields:
|
||
if af_pref != ff_pref and ff_pref == tf_pref:
|
||
range_pair = (af_pref, af, ff_pref, ff, tf)
|
||
break
|
||
if range_pair:
|
||
break
|
||
if range_pair:
|
||
break
|
||
if not range_pair:
|
||
return
|
||
|
||
af_pref, af, ff_pref, ff, tf = range_pair
|
||
logger.info(f" 金额-区间对齐: 金额 {af} ({af_pref}) ↔ 区间 {ff}/{tf} ({ff_pref})")
|
||
|
||
# EMP-ID 字段（金额所在 FD 前缀）
|
||
emp_field = None
|
||
for f in data_fields:
|
||
if not isinstance(f, dict) or not f.get('pic'):
|
||
continue
|
||
nm = f['name']
|
||
if nm.startswith(af_pref) and 'EMP-ID' in nm.upper():
|
||
emp_field = nm
|
||
break
|
||
if not emp_field:
|
||
return
|
||
|
||
# 从记录中提取有效区间（取第一条有值的 R02 区间）
|
||
from_val = None
|
||
to_val = None
|
||
for rec in records:
|
||
fv = str(rec.get(ff, '')).strip()
|
||
tv = str(rec.get(tf, '')).strip()
|
||
if fv and tv and fv.isdigit() and tv.isdigit():
|
||
from_val = int(fv)
|
||
to_val = int(tv)
|
||
break
|
||
if from_val is None:
|
||
return
|
||
mid_val = (from_val + to_val) // 2
|
||
mid_str = str(mid_val).zfill(9)
|
||
|
||
# 选定 normal 记录（非 abend）
|
||
normal_indices = [i for i in range(len(records))
|
||
if not term_types or i >= len(term_types) or term_types[i] != 'abend']
|
||
if len(normal_indices) < 4:
|
||
return
|
||
|
||
# 1) 前 4 条记录：金额设为区间中值，前 4 条同 EMP-ID（→ COUNT>=4 → MOVE 'A'）
|
||
hit_indices = normal_indices[:4]
|
||
hit_emp = str(records[hit_indices[0]].get(emp_field, '')).strip() or 'A0000001'
|
||
for i in hit_indices:
|
||
rec = records[i]
|
||
rec[af] = mid_str
|
||
rec[emp_field] = hit_emp
|
||
logger.info(f" 金额-区间对齐: {len(hit_indices)} 条记录金额→{mid_str}（区间命中，COUNT>=4 → TYPE='A'）")
|
||
|
||
# 2) 构造恰 3 条同 EMP-ID（→ COUNT=3 → MOVE 'B'）：从 remaining 取 3 条
|
||
remaining = [i for i in normal_indices if i not in set(hit_indices)]
|
||
if len(remaining) >= 3:
|
||
b_indices = remaining[:3]
|
||
b_emp = str(records[b_indices[0]].get(emp_field, '')).strip() or 'B0000002'
|
||
for i in b_indices:
|
||
rec = records[i]
|
||
rec[af] = mid_str
|
||
rec[emp_field] = b_emp
|
||
logger.info(f" 金额-区间对齐: {len(b_indices)} 条记录同 EMP-ID={b_emp}（COUNT=3 → TYPE='B'）")
|
||
|
||
# 3) 其余记录保留原值：区间外 / 记录数<3 → NO-GRADE / INVALID 错误分支维持
|
||
|
||
|
||
def _serialize_read_into_records(records, assignments, fields, file_sec):
|
||
"""不透明 FD + READ INTO：将求解出的 INTO 组子字段值序列化回 FD 记录字节。
|
||
|
||
问题：FD 记录不透明（如 R01INNREC PIC X(080) 无子字段）且程序用
|
||
`READ FD INTO WS-GRP` 读取时，Pass 3.5 中 fd_children 为空 → 求解出的
|
||
WRK-* 值从未写回 FD 记录字节 → 物理输入文件全是占位符、key 全同，
|
||
新 key 分支（flush + WRITE）不可达。
|
||
|
||
本函数：
|
||
1) 找到 READ INTO 赋值（fd 名, 目标组）
|
||
2) 按目标组子字段 PIC 长度计算布局偏移
|
||
3) 将求解出的子字段值按偏移 pack 回 FD 记录字节
|
||
4) 保证相邻记录 key 既有相同又有差异（同 key 累加 + 新 key flush 两路径）
|
||
"""
|
||
if not records or not assignments or not file_sec:
|
||
return records
|
||
|
||
name_to_field = {f['name']: f for f in fields}
|
||
|
||
read_intos = []
|
||
for tgt, asgn_list in assignments.items():
|
||
for a in asgn_list:
|
||
if isinstance(a, dict) and a.get('type') == 'read_into':
|
||
read_intos.append((a.get('file', ''), tgt))
|
||
if not read_intos:
|
||
return records
|
||
|
||
for fname, tgt in read_intos:
|
||
if fname not in file_sec or not file_sec[fname]:
|
||
continue
|
||
fd_rec = file_sec[fname][0]
|
||
fd_field = name_to_field.get(fd_rec)
|
||
if not fd_field:
|
||
continue
|
||
if _init_child_names(fd_rec, fields):
|
||
continue
|
||
pi = fd_field.get('pic_info', {})
|
||
fd_len = pi.get('length') or (pi.get('digits', 0) + pi.get('decimal', 0)) or 0
|
||
if fd_len <= 0:
|
||
continue
|
||
|
||
ws_children = _init_child_names(tgt, fields)
|
||
layout = []
|
||
offset = 0
|
||
for c in ws_children:
|
||
cf = name_to_field.get(c)
|
||
if not cf:
|
||
continue
|
||
cpi = cf.get('pic_info', {})
|
||
if not cpi or cpi.get('type') == 'unknown':
|
||
continue
|
||
clen = cpi.get('length') or (cpi.get('digits', 0) + cpi.get('decimal', 0)) or 0
|
||
if clen <= 0:
|
||
continue
|
||
layout.append((c, offset, clen, cpi))
|
||
offset += clen
|
||
if not layout:
|
||
continue
|
||
|
||
key_children = []
|
||
for c, off, clen, cpi in layout:
|
||
base = c[4:] if c.startswith('WRK-') else c
|
||
if c.startswith('WRK-') and ('WRK-PREV-' + base) in name_to_field:
|
||
key_children.append((c, off, clen, cpi))
|
||
if not key_children:
|
||
for c, off, clen, cpi in layout:
|
||
if 'EMP-ID' in c or 'APPL-DATE' in c:
|
||
key_children.append((c, off, clen, cpi))
|
||
|
||
if key_children and len(records) >= 2:
|
||
kc, koff, klen, kpi = key_children[0]
|
||
keys = [str(r.get(kc, '')).strip() for r in records]
|
||
has_same = any(keys[i] == keys[i + 1] for i in range(len(keys) - 1))
|
||
has_diff = any(keys[i] != keys[i + 1] for i in range(len(keys) - 1))
|
||
if not has_diff:
|
||
records[-1][kc] = _inc_str(str(records[-1].get(kc, '')), klen)
|
||
logger.info(f" READ INTO {tgt}: 注入 key 差异（新 key flush 路径）")
|
||
if not has_same:
|
||
records[1][kc] = records[0][kc]
|
||
logger.info(f" READ INTO {tgt}: 注入相同 key（累加路径）")
|
||
|
||
for rec in records:
|
||
buf = bytearray(b' ' * fd_len)
|
||
for c, off, clen, cpi in layout:
|
||
if off >= fd_len:
|
||
continue
|
||
val = str(rec.get(c, ''))
|
||
if cpi.get('type') in ('numeric', 'numeric-edited'):
|
||
seg = val.zfill(clen)
|
||
else:
|
||
seg = val.ljust(clen)[:clen]
|
||
seg_bytes = seg.encode('utf-8', 'replace')[:clen]
|
||
end = min(off + len(seg_bytes), fd_len)
|
||
buf[off:end] = seg_bytes[:end - off]
|
||
rec[fd_rec] = buf.decode('utf-8', 'replace')
|
||
|
||
logger.info(f" READ INTO 序列化: {fd_rec} ← {tgt} ({len(layout)} 字段)")
|
||
return records
|
||
|
||
|
||
def _inject_merge_input_records(records, fields, file_sec, fd_fields, proc_div, term_types=None):
|
||
"""MERGE 程序：为 USING 输入文件注入可执行合并逻辑的 S/B 记录。
|
||
|
||
根因：MERGE ... USING 的输入文件从不 OPEN，原管道不识别为输入 → 无输入
|
||
数据 → 运行时 MERGE 读到空文件 → 2000MRGOUTSOR 全部不执行。
|
||
|
||
本函数：
|
||
1) 解析 MERGE 语句的 USING 文件列表（SALARY-FILE/BONUS-FILE）
|
||
2) 识别各 USING 文件 FD 的 REC-TYPE / EMP-ID / PAY-AMOUNT / GROSS 字段
|
||
3) 从 OUTPUT PROCEDURE 的 `IF <rec-type> = <CONST>` 解析判别常量值
|
||
（如 CNS-PAY-TYPE-SALARY='S'），其余 USING 文件取相异值
|
||
4) 注入一条含全部 USING 文件字段的记录（同 EMP-ID 跨文件匹配，
|
||
触发 2000MRGOUTSOR 同社員統合 + REC-TYPE T/F 分支）
|
||
|
||
通用实现：不依赖程序名/字段名硬编码，对所有 MERGE/SORT 程序适用。
|
||
"""
|
||
if not records or not proc_div or not file_sec or len(fd_fields) < 2:
|
||
return records
|
||
_KEYWORDS = {'USING', 'KEY', 'ASCENDING', 'DESCENDING', 'ON', 'OUTPUT', 'INPUT', 'PROCEDURE'}
|
||
|
||
def _resolve_const(name, fields_list):
|
||
for f in fields_list:
|
||
if f.get('name') == name and f.get('value') is not None:
|
||
return str(f['value']).strip("'\"").strip()
|
||
return None
|
||
|
||
def _find_field(fd_name, suffix):
|
||
for fname in fd_fields.get(fd_name, []):
|
||
if fname.upper().endswith(suffix.upper()) and fname not in (fd_name,):
|
||
return fname
|
||
return None
|
||
|
||
injected = False
|
||
for m in re.finditer(
|
||
r'\bMERGE\s+\w[\w-]*\s+.*?\bUSING\s+(.+?)\s*(?:OUTPUT|INPUT)?\s*PROCEDURE\s+\w[\w-]*\s*\.',
|
||
proc_div, re.IGNORECASE | re.DOTALL
|
||
):
|
||
stmt = m.group(0)
|
||
files_raw = m.group(1)
|
||
using = [f.upper() for f in re.findall(r'\b(\w[\w-]*)\b', files_raw)
|
||
if f.upper() not in _KEYWORDS and f.upper() in file_sec]
|
||
if len(using) < 2:
|
||
continue
|
||
out_sec = None
|
||
om = re.search(r'\bOUTPUT\s+PROCEDURE\s+(\w[\w-]*)', stmt, re.IGNORECASE)
|
||
if om:
|
||
out_sec = om.group(1).upper()
|
||
|
||
# 判别字段（REC-TYPE）与判别常量值
|
||
type_field = None
|
||
const_val = None
|
||
if out_sec:
|
||
for f in fields:
|
||
fn = f.get('name', '')
|
||
if fn.upper().endswith('REC-TYPE'):
|
||
type_field = fn
|
||
break
|
||
if type_field:
|
||
cm = re.search(
|
||
r'\bIF\s+%s\b\s*(?:=|NOT\s*=|<>|>|<|>=|<=)\s*(\w[\w-]*)' % re.escape(type_field),
|
||
proc_div, re.IGNORECASE
|
||
)
|
||
if not cm:
|
||
cm = re.search(
|
||
r'\b%s\s*(?:=|NOT\s*=|<>)\s*(\w[\w-]*)' % re.escape(type_field),
|
||
proc_div, re.IGNORECASE
|
||
)
|
||
if cm:
|
||
const_val = _resolve_const(cm.group(1).upper(), fields)
|
||
if const_val is None:
|
||
const_val = 'S' # 通用回退：第一个 USING 文件用 'S'
|
||
# 第二文件判别值：优先取 *PAY-TYPE-BONUS* 常量，否则取与 const_val 相异值
|
||
other_val = None
|
||
for f in fields:
|
||
fn = f.get('name', '')
|
||
if 'PAY-TYPE' in fn.upper() and 'BONUS' in fn.upper() and f.get('value') is not None:
|
||
other_val = str(f['value']).strip("'\"").strip()
|
||
break
|
||
if other_val is None:
|
||
other_val = (chr(ord(const_val) + 1) if len(const_val) == 1 else 'B')
|
||
if other_val == const_val:
|
||
other_val = 'B'
|
||
|
||
# 各 USING 文件的字段映射
|
||
emp_fields, pay_fields, gross_fields, type_fields = [], [], [], []
|
||
for fd in using:
|
||
emp_fields.append(_find_field(fd, 'EMP-ID'))
|
||
pay_fields.append(_find_field(fd, 'PAY-AMOUNT'))
|
||
gross_fields.append(_find_field(fd, 'GROSS'))
|
||
type_fields.append(_find_field(fd, 'REC-TYPE'))
|
||
if any(f is None for f in emp_fields) or any(f is None for f in type_fields):
|
||
continue
|
||
|
||
# 每条记录：所有 USING 文件字段都设置，同 EMP-ID，REC-TYPE 按文件相异。
|
||
# 注：output_input_files 对次要 FD 会丢弃末尾 2 条 → 注入记录必须放最前。
|
||
base = dict(records[0]) if records else {}
|
||
n = len(using)
|
||
merge_recs = []
|
||
for emp_i in range(2):
|
||
rec = dict(base)
|
||
emp_id = f'A{emp_i + 1:07d}'
|
||
for i, fd in enumerate(using):
|
||
type_val = const_val if i == 0 else other_val
|
||
rec[emp_fields[i]] = emp_id
|
||
rec[type_fields[i]] = type_val
|
||
if pay_fields[i]:
|
||
rec[pay_fields[i]] = str(100000 + emp_i * 1000 + i * 100).zfill(9)
|
||
if gross_fields[i]:
|
||
rec[gross_fields[i]] = str(200000 + emp_i * 1000 + i * 100).zfill(9)
|
||
merge_recs.append(rec)
|
||
records[0:0] = merge_recs
|
||
if term_types is not None:
|
||
term_types[0:0] = ['normal', 'normal']
|
||
injected = True
|
||
logger.info(f" 注入 MERGE 输入记录: USING={using} REC-TYPE={const_val}/{other_val} 共 2 条（同 EMP-ID 跨文件，置顶）")
|
||
break
|
||
return records
|
||
|
||
|
||
def _inject_end_of_page_records(records, full_source, proc_div, file_sec, open_dir, term_types=None):
|
||
"""LINAGE 分页（WRITE ... AT END-OF-PAGE）プログラム：补充分页体积记录。
|
||
|
||
根因：V3 路径枚举只生成覆盖决策点的最小记录集。对 END-OF-PAGE（分页）分支，
|
||
需要足够多的明细记录触发 LINAGE 分页才能覆盖（例：JIN04PRT 输入仅 1 条 →
|
||
AT END-OF-PAGE 换页重打分支不可达，gcov 仅 80/96）。
|
||
|
||
本函数（通用・程序名硬编码なし）：
|
||
1) PROCEDURE DIVISION 中检测 `WRITE ... AT END-OF-PAGE`
|
||
2) 从全量源码解析输出 FD 的 LINAGE 总行数 - TOP - BOTTOM 作为正文容量
|
||
（解析失败回退 60）
|
||
3) 将一条有效 normal 记录复制补足到「容量+1」条，使最后一条 WRITE
|
||
触发 END-OF-PAGE
|
||
"""
|
||
if not records or not proc_div or not full_source:
|
||
return records
|
||
if not re.search(r'\bEND-OF-PAGE\b', proc_div, re.IGNORECASE):
|
||
return records
|
||
|
||
# LINAGE 容量：LINAGE IS n LINES（TOP t / BOTTOM b）→ 正文行数
|
||
capacity = None
|
||
m = re.search(
|
||
r'LINAGE\s+IS\s+(\d+)\s+LINES([^.]*?)(?=\.)',
|
||
full_source, re.IGNORECASE | re.DOTALL)
|
||
if m:
|
||
total = int(m.group(1))
|
||
rest = m.group(2)
|
||
top_m = re.search(r'\bTOP\s+(\d+)', rest, re.IGNORECASE)
|
||
bot_m = re.search(r'\bBOTTOM\s+(\d+)', rest, re.IGNORECASE)
|
||
top = int(top_m.group(1)) if top_m else 0
|
||
bottom = int(bot_m.group(1)) if bot_m else 0
|
||
capacity = total - top - bottom
|
||
if not capacity or capacity <= 0:
|
||
capacity = 60
|
||
target = capacity + 1
|
||
|
||
def _is_normal(i):
|
||
if term_types is None or i >= len(term_types):
|
||
return True
|
||
return term_types[i] != 'abend'
|
||
|
||
template = None
|
||
for i in range(len(records) - 1, -1, -1):
|
||
if _is_normal(i) and records[i]:
|
||
template = dict(records[i])
|
||
break
|
||
if template is None:
|
||
return records
|
||
|
||
current = sum(1 for i in range(len(records)) if _is_normal(i))
|
||
if current >= target:
|
||
return records
|
||
need = target - current
|
||
for _ in range(need):
|
||
records.append(dict(template))
|
||
if term_types is not None:
|
||
term_types.extend(['normal'] * need)
|
||
logger.info(
|
||
f" END-OF-PAGE 分页注入: 复制 {need} 条记录至 {len(records)} 条"
|
||
f"（LINAGE 容量 {capacity}，触发分页）")
|
||
return records
|
||
|
||
|
||
def _inject_sort_limit_records(records, proc_div, fields, term_types=None):
|
||
"""SORT INPUT 计数守卫（RELEASE + IF <计数器> <= <上限>）：补充分页体积记录。
|
||
|
||
根因：V3 路径枚举只生成覆盖决策点的最小记录集。对 SORT INPUT PROCEDURE 中的
|
||
记录数上限守卫（如 `ADD 1 TO WRK-SORT-CNT ... IF WRK-SORT-CNT <=
|
||
CNS-MAX-SORT-REC(999) RELEASE ... ELSE 上限エラー`），需超过上限条数的输入
|
||
记录才能覆盖 ELSE（SORT LIMIT OVER）分支（例：JIN06SRT 输入仅 6 条，上限 999）。
|
||
|
||
本函数（通用・程序名硬编码なし）：
|
||
1) PROC 中检测 SORT + RELEASE + 同一段落内 `IF <counter> (<=|<) <limit>`
|
||
2) 解析 <limit> 的常量值（字段 VALUE 子句或字面值）
|
||
3) 将一条 valid normal 记录复制到「上限+1」条，使最后一条 READ 触发上限分支
|
||
"""
|
||
if not records or not proc_div:
|
||
return records
|
||
up = proc_div.upper()
|
||
if 'SORT' not in up or 'RELEASE' not in up:
|
||
return records
|
||
|
||
# 计数守卫：IF <counter> (<=|<) <limit>（同段落内必须有 RELEASE）
|
||
m = re.search(r'\bIF\s+(\w[\w-]*)\s*(?:<=|<)\s*(\w[\w-]*)\b', proc_div, re.IGNORECASE)
|
||
if not m:
|
||
return records
|
||
after = proc_div[m.start():]
|
||
para_end = re.search(r'\n\s*\w[\w-]*-EXT\.', after)
|
||
scope = after[:para_end.start()] if para_end else after
|
||
if 'RELEASE' not in scope.upper():
|
||
return records
|
||
|
||
# 解析上限值：字段 VALUE 子句或字面值
|
||
limit_ref = m.group(2)
|
||
limit = None
|
||
raw = str(limit_ref).strip().strip("'\"").strip()
|
||
if raw.isdigit():
|
||
limit = int(raw)
|
||
else:
|
||
for f in (fields or []):
|
||
if f.get('name') == raw and f.get('value') is not None:
|
||
try:
|
||
limit = int(str(f['value']).strip("'\"").strip())
|
||
except ValueError:
|
||
limit = None
|
||
break
|
||
if limit is None or limit <= 0:
|
||
return records
|
||
target = limit + 1
|
||
|
||
def _is_normal(i):
|
||
if term_types is None or i >= len(term_types):
|
||
return True
|
||
return term_types[i] != 'abend'
|
||
|
||
template = None
|
||
for i in range(len(records) - 1, -1, -1):
|
||
if _is_normal(i) and records[i]:
|
||
template = dict(records[i])
|
||
break
|
||
if template is None:
|
||
return records
|
||
|
||
current = sum(1 for i in range(len(records)) if _is_normal(i))
|
||
if current >= target:
|
||
return records
|
||
need = target - current
|
||
for _ in range(need):
|
||
records.append(dict(template))
|
||
if term_types is not None:
|
||
term_types.extend(['normal'] * need)
|
||
logger.info(
|
||
f" SORT 上限体积注入: 复制 {need} 条记录至 {len(records)} 条"
|
||
f"（上限 {limit}，触发 SORT LIMIT OVER）")
|
||
return records
|
||
|
||
|
||
def _provision_sub_input_files(main_source, source_dir, outdir):
|
||
"""子程序输入供给：为 CALL 目标子程序的 INPUT FD 生成输入文件。
|
||
|
||
根因：V3 只为主程序生成输入文件。テストドライバ（主程序无 FILE 节）调用
|
||
读取文件的自程序时（如 JIN08TST → JIN07SUB 读 JIN07R01），自程序 OPEN
|
||
输入文件失败（status 35）→ ABEND → 后续决策点不可达。
|
||
|
||
本函数（通用・程序名硬编码なし）：
|
||
1) 主程序 PROC 中 `CALL 'NAME'` 收集子程序名
|
||
2) 在 source_dir 的 sub/ 找到子程序源码
|
||
3) 解析其 FILE-CONTROL 的 INPUT/I-O FD（ASSIGN 名・记录布局）
|
||
4) 按子程序 FD 布局写一条基础记录到 outdir/<assign>
|
||
|
||
返回已生成的 assign 名列表。
|
||
"""
|
||
src_dir = Path(source_dir)
|
||
sub_dir = src_dir.parent / 'sub'
|
||
if not sub_dir.is_dir():
|
||
sub_dir = src_dir / 'sub'
|
||
cpy_dir = src_dir.parent / 'cpy'
|
||
if not cpy_dir.is_dir():
|
||
cpy_dir = src_dir / 'cpy'
|
||
|
||
calls = set()
|
||
for m in re.finditer(r"\bCALL\s+['\"](\w+)['\"]", main_source, re.IGNORECASE):
|
||
calls.add(m.group(1).upper())
|
||
if not calls:
|
||
return []
|
||
|
||
from .flatfile import analyze_fd_layout, write_flat_file
|
||
written = []
|
||
for sub_name in sorted(calls):
|
||
sp = sub_dir / f"{sub_name}.cbl"
|
||
if not sp.exists():
|
||
continue
|
||
sub_src = sp.read_text(encoding='utf-8')
|
||
try:
|
||
sub_src = resolve_copybooks(
|
||
sub_src, str(sub_dir),
|
||
extra_search_paths=[str(cpy_dir)] if cpy_dir.is_dir() else None)
|
||
layouts = analyze_fd_layout(
|
||
sub_src,
|
||
copybook_dirs=[str(cpy_dir)] if cpy_dir.is_dir() else None)
|
||
except Exception as e:
|
||
logger.debug(f" 子程序 {sub_name} 布局解析失败: {e}")
|
||
continue
|
||
for assign, layout in layouts.items():
|
||
if layout.get('direction') not in ('INPUT', 'I-O'):
|
||
continue
|
||
base = {}
|
||
for rec in layout.get('records', []):
|
||
for f in rec.get('fields', []):
|
||
pi = f.get('pic_info') or {}
|
||
if pi.get('type') == 'numeric':
|
||
ln = (pi.get('digits', 0) + pi.get('decimal', 0)) or 1
|
||
base[f['name']] = '0' * ln
|
||
else:
|
||
ln = f.get('length') or pi.get('length') or 1
|
||
base[f['name']] = 'A' * ln
|
||
outpath = Path(outdir) / assign
|
||
outpath.parent.mkdir(parents=True, exist_ok=True)
|
||
try:
|
||
write_flat_file([base], layout, outpath)
|
||
except Exception as e:
|
||
logger.debug(f" 子程序 {sub_name} 输入文件写入失败: {e}")
|
||
continue
|
||
rec_len = layout.get('records', [{}])[0].get('record_length', 0)
|
||
written.append(assign)
|
||
logger.info(f" 子程序输入供给: {sub_name} → {assign}（记录 {rec_len}B）")
|
||
return written
|
||
|
||
|
||
def _coordinate_tertiary_fd(records, fd_prefixes, data_fields, term_types=None):
|
||
"""构造多文件照合程序的前置匹配序列（通用，不依赖程序名）。
|
||
|
||
fd_prefixes = [主FD字段前缀, 明细FD字段前缀1, ...]（如 SW/SR/SL）。
|
||
在记录头部构造单调递增键序列，使 merge-join 指针自然对齐：
|
||
- rec0: 主 + 全部明细键一致 → 全匹配（照合ループ + 判别 EVALUATE 全 WHEN）
|
||
- rec(k): 主 + 第 k 个明细键一致、其余不同 → 单明细匹配（各照合组合）
|
||
判别字段（*LEAVE-TYPE）所在明细构造同键重复块：
|
||
- 块1: 短时长 + 判别值 01-04 → 全匹配内循环消费（EVALUATE 全 WHEN）
|
||
- 块2: 长时长（0600-2200）+ 判别值 01-04 → 单明细匹配内循环消费，
|
||
覆盖时长上限检查 T 分支与午餐重叠判定。
|
||
"""
|
||
master = fd_prefixes[0]
|
||
details = fd_prefixes[1:]
|
||
if not details:
|
||
return
|
||
|
||
normal_indices = [i for i in range(len(records))
|
||
if not term_types or i >= len(term_types) or term_types[i] != 'abend']
|
||
|
||
dpairs = {}
|
||
for d in details:
|
||
pairs = _find_key_pairs_inner(master, d, data_fields)
|
||
if pairs:
|
||
dpairs[d] = pairs
|
||
if not dpairs:
|
||
return
|
||
|
||
# 判别字段：取"最后一个"含 *LEAVE-TYPE 的明细 FD（深层休暇展开文件）。
|
||
# 注意 R02 打刻文件也可能含 LEAVE-TYPE 字段（如 SRLEAVE-TYPE），但
|
||
# 内循环 EVALUATE 判别的是休暇展开明细（R03），故从后向前选。
|
||
disc_detail = None
|
||
disc_field = None
|
||
for d in reversed(details):
|
||
if d not in dpairs:
|
||
continue
|
||
for f in data_fields:
|
||
if not isinstance(f, dict) or not f.get('pic'):
|
||
continue
|
||
nm = f.get('name', '')
|
||
if nm.startswith(d) and 'LEAVE-TYPE' in nm.upper():
|
||
disc_detail, disc_field = d, nm
|
||
break
|
||
if disc_detail:
|
||
break
|
||
disc_values = ['01', '02', '03', '04', '99'] if disc_field else []
|
||
m = len(disc_values) if disc_field else 2
|
||
|
||
n = len(details)
|
||
match_cnt = n + 1
|
||
need = max(match_cnt, m) + m
|
||
if len(normal_indices) < max(need, 6):
|
||
return
|
||
|
||
def _synth(idx):
|
||
# 合成键：EMP-ID 'A0000001' 起递增、日期 20000101 起递增（字典序单调递增）
|
||
return f'A{idx + 1:07d}', f'{20000101 + idx:08d}'
|
||
|
||
def _apply(rec, prefix, pairs, idx):
|
||
emp, date = _synth(idx)
|
||
for fa, fb in pairs:
|
||
f = fa if prefix == master else fb
|
||
val = date if 'DATE' in f.upper() else emp
|
||
rec[f] = val
|
||
|
||
p = normal_indices
|
||
# rec0: 全匹配（主 + 全部明细键 = K0）
|
||
rec = records[p[0]]
|
||
for d, pairs in dpairs.items():
|
||
_apply(rec, master, pairs, 0)
|
||
_apply(rec, d, pairs, 0)
|
||
# rec1..n: 单明细匹配（主 + 该明细 = K(k+1)，其余明细用大偏移避免误配）
|
||
for k, d in enumerate(details):
|
||
if k + 1 >= len(p):
|
||
continue
|
||
rec = records[p[k + 1]]
|
||
_apply(rec, master, dpairs[d], k + 1)
|
||
_apply(rec, d, dpairs[d], k + 1)
|
||
for d2, pairs2 in dpairs.items():
|
||
if d2 != d:
|
||
_apply(rec, d2, pairs2, k + 1 + 50)
|
||
|
||
if disc_detail and disc_field:
|
||
pairs = dpairs[disc_detail]
|
||
# 块1：位置 p[0..m-1]，键 = K0，短时长 + 判别值
|
||
for j in range(m):
|
||
if j >= len(p):
|
||
break
|
||
rec = records[p[j]]
|
||
_apply(rec, disc_detail, pairs, 0)
|
||
rec[disc_field] = disc_values[j]
|
||
# 块2：位置 p[max(match_cnt,m)..+m]，键 = K(disc_idx)，长时长 + 判别值
|
||
disc_idx = details.index(disc_detail) + 1
|
||
b2_start = max(match_cnt, m)
|
||
st_f = en_f = None
|
||
for f in data_fields:
|
||
if not isinstance(f, dict) or not f.get('pic'):
|
||
continue
|
||
nm = f.get('name', '')
|
||
if nm.startswith(disc_detail):
|
||
u = nm.upper()
|
||
if 'START-TIME' in u:
|
||
st_f = nm
|
||
elif 'END-TIME' in u:
|
||
en_f = nm
|
||
for j in range(m):
|
||
idx = b2_start + j
|
||
if idx >= len(p):
|
||
break
|
||
rec = records[p[idx]]
|
||
_apply(rec, disc_detail, pairs, disc_idx)
|
||
rec[disc_field] = disc_values[j]
|
||
if st_f and en_f:
|
||
rec[st_f] = '0600'
|
||
rec[en_f] = '2200'
|
||
logger.info(
|
||
f" 前置匹配序列: 全匹配+{n}单明细匹配, {disc_detail} 判别块 {disc_values} "
|
||
f"(长时长 0600-2200 覆盖上限/午餐判定)"
|
||
)
|
||
else:
|
||
# 无判别字段：仍制造同键重复（触发明细内循环）
|
||
d0, pairs0 = next(iter(dpairs.items()))
|
||
if len(p) >= 2:
|
||
rec0, rec1 = records[p[0]], records[p[1]]
|
||
_apply(rec0, master, pairs0, 0)
|
||
_apply(rec0, d0, pairs0, 0)
|
||
_apply(rec1, master, pairs0, 0)
|
||
_apply(rec1, d0, pairs0, 0)
|
||
logger.info(f" 前置匹配序列: 全匹配+{n}单明细匹配 ({d0} 同键重复)")
|
||
|
||
|
||
|
||
def _find_key_pairs_inner(prefix_a, prefix_b, data_fields):
|
||
"""Find BEST matching key field pairs between two FD prefixes.
|
||
Isolated helper for _coordinate_tertiary_fd.
|
||
"""
|
||
a_candidates = {}
|
||
b_candidates = {}
|
||
for f in data_fields:
|
||
if not isinstance(f, dict) or not f.get('pic'):
|
||
continue
|
||
name = f['name']
|
||
if name.startswith(prefix_a):
|
||
base = name[len(prefix_a):].lstrip('-')
|
||
if _is_match_key_field(base):
|
||
a_candidates[name] = base
|
||
elif name.startswith(prefix_b):
|
||
base = name[len(prefix_b):].lstrip('-')
|
||
if _is_match_key_field(base):
|
||
b_candidates[name] = base
|
||
pairs = []
|
||
used_b = set()
|
||
for fa, ba in sorted(a_candidates.items()):
|
||
for fb, bb in sorted(b_candidates.items()):
|
||
if fb in used_b:
|
||
continue
|
||
if ba == bb or ba.replace('WORK-', '') == bb or ba == bb.replace('WORK-', ''):
|
||
pairs.append((fa, fb))
|
||
used_b.add(fb)
|
||
break
|
||
for fa, ba in sorted(a_candidates.items()):
|
||
if any(p[0] == fa for p in pairs):
|
||
continue
|
||
ua = ba.upper()
|
||
if 'EMP' not in ua:
|
||
continue
|
||
for fb, bb in sorted(b_candidates.items()):
|
||
if fb in used_b:
|
||
continue
|
||
ub = bb.upper()
|
||
if 'EMP' in ub:
|
||
pairs.append((fa, fb))
|
||
used_b.add(fb)
|
||
break
|
||
|
||
# Suffix tier: 明细键 base 是主表键 base 的真后缀（如 SKILL-CODE ⊂
|
||
# MST-SKILL-CODE）且 key 类别一致（同为 -CODE/-ID/-NO/DATE/EMP-ID）时配对。
|
||
# 通用实现、无程序名硬编码，覆盖"主表键带限定词（MST- 等）"的照合形态。
|
||
def _same_key_class(x, y):
|
||
ux, uy = x.upper(), y.upper()
|
||
for cls in ('EMP-ID', '-CODE', '-ID', '-NO', 'DATE'):
|
||
if cls in ux and cls in uy:
|
||
return True
|
||
return False
|
||
|
||
for fa, ba in sorted(a_candidates.items()):
|
||
if any(p[0] == fa for p in pairs):
|
||
continue
|
||
for fb, bb in sorted(b_candidates.items()):
|
||
if fb in used_b:
|
||
continue
|
||
if (len(ba) >= 3 and len(bb) >= 3 and ba != bb
|
||
and _same_key_class(ba, bb)
|
||
and (bb.upper().endswith(ba.upper())
|
||
or ba.upper().endswith(bb.upper()))):
|
||
pairs.append((fa, fb))
|
||
used_b.add(fb)
|
||
break
|
||
return pairs
|
||
|
||
|
||
def _inject_leave_type_scenarios(records, term_types):
|
||
"""Inject R02LEAVE-TYPE / R02APPL-ID 覆盖 2030PRIOSOR 所有 WHEN + IF-ELSE 分支 + WHEN OTHER。
|
||
|
||
在 _coordinate_multi_file_keys 之后运行, 取 16 条连续 normal 记录
|
||
(1 anchor + 14 scenario + 1 WHEN OTHER), 设其 R01/R02 キー相同, 然后依次设
|
||
R02LEAVE-TYPE 为 '99'→'04'→'04'→'03'→'03'→'04'→'02'→'02'→
|
||
'03'→'04'→'01'→'01'→'02'→'03'→'04'→'99',
|
||
配合 APPL-ID 递减, 以单一 2020MATCHSOR 调用遍历 EVALUATE 内部所有路径。
|
||
"""
|
||
if not records:
|
||
return
|
||
|
||
# 守卫：仅当记录中存在 LEAVE-TYPE 字段（2030PRIOSOR 系）时执行。
|
||
# 避免对无 LEAVE-TYPE 的 N:1 集約程序（如 SHA05TWN）产生副作用——
|
||
# 该函数原会无差别把前 16 条 normal 记录的 EMP-ID 设为同一值。
|
||
if not any('LEAVE-TYPE' in str(k).upper() for k in records[0]):
|
||
return
|
||
|
||
# 跳过 abend 记录, 找连续 16 条 normal (1 anchor + 14 scenario + 1 OTHER)
|
||
needed = 16
|
||
normal_indices = []
|
||
for i in range(len(records)):
|
||
if term_types and i < len(term_types) and term_types[i] == 'abend':
|
||
continue
|
||
normal_indices.append(i)
|
||
if len(normal_indices) >= needed:
|
||
break
|
||
|
||
if len(normal_indices) < needed:
|
||
logger.warning(f" 休暇種別覆盖: normal 记录不足 ({len(normal_indices)}/{needed}), 跳过")
|
||
return
|
||
|
||
anchor_idx = normal_indices[0]
|
||
anchor = records[anchor_idx]
|
||
common_emp = str(anchor.get('R02EMP-ID', '')).strip() or 'E0000999'
|
||
common_date = str(anchor.get('R02DATE', '')).strip() or '20991231'
|
||
|
||
# 所有记录设相同キー
|
||
for idx in normal_indices:
|
||
rec = records[idx]
|
||
rec['R02EMP-ID'] = common_emp
|
||
rec['R02DATE'] = common_date
|
||
rec['R01EMP-ID'] = common_emp
|
||
rec['R01WORK-DATE'] = common_date
|
||
|
||
# 锚点: LT='99'(CNS-NO-LEAVE), 第一个 MATCH 使 BEST-TYPE=99
|
||
anchor['R02LEAVE-TYPE'] = '99'
|
||
anchor['R02APPL-ID'] = '000000100'
|
||
anchor['R02START-TIME'] = '0800'
|
||
anchor['R02END-TIME'] = '1700'
|
||
|
||
# 14 scenario + 1 OTHER 按顺序覆盖各 WHEN 分支
|
||
# 路径: BEST 从 99→04→03→02→01 逐级覆盖, 末尾 LT='99' 进 WHEN OTHER
|
||
scenarios = [
|
||
('04', '000000080', '0800', '1700'), # LE04 ELSE(384-387)
|
||
('04', '000000060', '0800', '1700'), # LE04 AID<BEST(379-381)
|
||
('03', '000000050', '0800', '1700'), # LE03 ELSE(365-368)
|
||
('03', '000000040', '0800', '1700'), # LE03 AID<BEST(360-362)
|
||
('04', '000000045', '0800', '1700'), # LE04 CONT(BEST=03)(375-376)
|
||
('02', '000000030', '0800', '1700'), # LE02 ELSE(348-351)
|
||
('02', '000000020', '0800', '1700'), # LE02 AID<BEST(343-345)
|
||
('03', '000000025', '0800', '1700'), # LE03 CONT(BEST=02)(356-357)
|
||
('04', '000000030', '0800', '1700'), # LE04 CONT(BEST=02)(373-374)
|
||
('01', '000000010', '0800', '1700'), # LE01 NOT=01(329-332)
|
||
('01', '000000005', '0800', '1700'), # LE01 AID<BEST(334-336)
|
||
('02', '000000015', '0800', '1700'), # LE02 CONT(BEST=01)(339-340)
|
||
('03', '000000020', '0800', '1700'), # LE03 CONT(BEST=01)(354-355)
|
||
('04', '000000025', '0800', '1700'), # LE04 CONT(BEST=01)(371-372)
|
||
('99', '000000999', '0800', '1700'), # WHEN OTHER CONTINUE(390)
|
||
]
|
||
|
||
for j, idx in enumerate(normal_indices[1:]):
|
||
rec = records[idx]
|
||
lt, aid, st, et = scenarios[j]
|
||
rec['R02LEAVE-TYPE'] = lt
|
||
rec['R02APPL-ID'] = aid
|
||
rec['R02START-TIME'] = st
|
||
rec['R02END-TIME'] = et
|
||
|
||
logger.info(f" 2030PRIOSOR 全分支覆盖: {needed} 条记录注入完成 (共通キー={common_emp}/{common_date})")
|
||
|
||
|
||
def _inject_c01_coverage_records(records, fields, base_assignments):
|
||
"""Inject records for uncovered C01 decision points (DP#9-#12 T).
|
||
|
||
Takes a base record with valid EMP-ID and all dates valid, then
|
||
modifies ONE CSV field per copy to trigger a specific SUB04CHK failure.
|
||
"""
|
||
if not records or not base_assignments:
|
||
return
|
||
|
||
r01_len = 80
|
||
for f in fields:
|
||
if isinstance(f, dict) and f.get('name') == 'R01LINE' and f.get('pic_info'):
|
||
r01_len = f['pic_info'].get('length', 80)
|
||
break
|
||
|
||
unstring_items = []
|
||
for tgt, alist in base_assignments.items():
|
||
for a in alist:
|
||
if a.get('type') == 'unstring_split' and a.get('source_vars'):
|
||
unstring_items.append((a.get('index', 0), tgt))
|
||
if not unstring_items:
|
||
return
|
||
unstring_items.sort(key=lambda x: x[0])
|
||
unstring_fields = [tgt for _, tgt in unstring_items]
|
||
|
||
base = None
|
||
for rec in records:
|
||
emp = str(rec.get('WRK-CSV-EMP-ID', '')).strip()
|
||
if emp and emp != '0':
|
||
base = rec
|
||
lt = str(rec.get('WRK-CSV-LEAVE-TYPE', '')).strip()
|
||
if lt and lt != '':
|
||
break
|
||
if base is None:
|
||
return
|
||
|
||
# (dp_num, csv_field, invalid_value, extra_valid_fixes)
|
||
# For DATE fields: SUB04CHK checks month 01-12, day 01-31 → spaces make month=0 < 1 → error
|
||
# For TIME fields: SUB04CHK checks hour 00-23, minute 00-59 → spaces make NUMVAL=0 → valid!
|
||
# Need explicit invalid value like '2500' (hour=25 > 23) or '0060' (minute=60 > 59)
|
||
# For EMP-ID fields: SUB04CHK checks spaces + alpha/digit/special → '00000000' is valid
|
||
field_invalid = {
|
||
'WRK-CSV-START-DATE': ' ',
|
||
'WRK-CSV-START-TIME': '2500',
|
||
'WRK-CSV-END-DATE': ' ',
|
||
'WRK-CSV-END-TIME': '2500',
|
||
}
|
||
field_sizes = {
|
||
'WRK-CSV-START-DATE': 8,
|
||
'WRK-CSV-START-TIME': 4,
|
||
'WRK-CSV-END-DATE': 8,
|
||
'WRK-CSV-END-TIME': 4,
|
||
}
|
||
targets = [
|
||
(9, 'WRK-CSV-START-DATE', {'WRK-CSV-START-DATE': ' '}),
|
||
(10, 'WRK-CSV-START-TIME', {'WRK-CSV-START-TIME': '2500', 'WRK-CSV-START-DATE': '20240115', 'WRK-CSV-END-DATE': '20240115'}),
|
||
(11, 'WRK-CSV-END-DATE', {'WRK-CSV-END-DATE': ' '}),
|
||
(12, 'WRK-CSV-END-TIME', {'WRK-CSV-END-TIME': '2500', 'WRK-CSV-START-DATE': '20240115', 'WRK-CSV-END-DATE': '20240115'}),
|
||
]
|
||
for dp_num, csv_field, overrides in targets:
|
||
if csv_field not in base:
|
||
continue
|
||
new_rec = dict(base)
|
||
for k, v in overrides.items():
|
||
new_rec[k] = v
|
||
csv_parts = [str(new_rec.get(fname, '')) for fname in unstring_fields]
|
||
csv_value = ','.join(csv_parts).ljust(r01_len)[:r01_len]
|
||
new_rec['R01LINE'] = csv_value
|
||
records.append(new_rec)
|
||
logger.info(f" injected DP#{dp_num} T coverage record ({csv_field}={repr(overrides.get(csv_field,''))})")
|
||
|
||
|
||
# ── 入口 ──
|
||
|
||
def main():
|
||
if len(sys.argv) < 2:
|
||
print("用法: python -m cobol_testgen <cobol文件1> [cobol文件2 ...] [输出目录]")
|
||
sys.exit(1)
|
||
|
||
args = sys.argv[1:]
|
||
|
||
do_run = False
|
||
gcov_mode = False
|
||
temp_dir = None
|
||
if '--run' in args:
|
||
do_run = True
|
||
args.remove('--run')
|
||
if '--gcov' in args:
|
||
gcov_mode = True
|
||
args.remove('--gcov')
|
||
if not _HAVE_RUNNER:
|
||
logger.warning("--gcov: runner.py not found. Compile/run will be skipped. "
|
||
"Use --gcov without runner only generates test data + static coverage.")
|
||
i = 0
|
||
while i < len(args):
|
||
if args[i] == '--temp-dir':
|
||
if i + 1 < len(args):
|
||
temp_dir = args[i + 1]
|
||
args.pop(i + 1)
|
||
args.pop(i)
|
||
else:
|
||
args.pop(i)
|
||
break
|
||
elif args[i].startswith('--temp-dir='):
|
||
temp_dir = args[i].split('=', 1)[1]
|
||
args.pop(i)
|
||
break
|
||
else:
|
||
i += 1
|
||
|
||
cobol_files = []
|
||
outdir = None
|
||
user_specified_outdir = False
|
||
for a in args:
|
||
p = Path(a)
|
||
if p.is_dir() or (not p.suffix and p.parent.exists()):
|
||
outdir = p
|
||
user_specified_outdir = True
|
||
elif p.suffix.upper() in ('.CBL', '.COB', '.CPY'):
|
||
cobol_files.append(p)
|
||
else:
|
||
print(f"警告：跳过未知参数 {a}")
|
||
if not cobol_files:
|
||
print("错误：未找到任何 COBOL 文件")
|
||
sys.exit(1)
|
||
if outdir is None:
|
||
from pathlib import Path as _Path
|
||
_v3_root = _Path(__file__).parent.parent
|
||
outdir = _v3_root / "runtime"
|
||
user_specified_outdir = False
|
||
|
||
outdir.mkdir(parents=True, exist_ok=True)
|
||
(outdir / 'logs').mkdir(parents=True, exist_ok=True)
|
||
log_path = outdir / 'logs' / f"cobol_testgen_{datetime.now():%Y%m%d_%H%M%S}.log"
|
||
fh = logging.FileHandler(log_path, encoding="utf-8", mode="w")
|
||
fh.setLevel(logging.DEBUG)
|
||
fh.setFormatter(logging.Formatter(
|
||
"%(asctime)s [%(levelname)s] %(name)s: %(message)s"
|
||
))
|
||
sh = logging.StreamHandler()
|
||
sh.setLevel(logging.INFO)
|
||
sh.setFormatter(logging.Formatter("%(message)s"))
|
||
root_logger = logging.getLogger()
|
||
root_logger.setLevel(logging.DEBUG)
|
||
root_logger.addHandler(fh)
|
||
root_logger.addHandler(sh)
|
||
|
||
programs = []
|
||
|
||
# ── Auto-route: split DB / non-DB per file ──
|
||
db_files = []
|
||
non_db_files = []
|
||
for f in cobol_files:
|
||
if 'EXEC SQL' in f.read_text(encoding='utf-8-sig').upper():
|
||
db_files.append(f)
|
||
else:
|
||
non_db_files.append(f)
|
||
|
||
if db_files:
|
||
import sys as _sys
|
||
_v3_root = str(Path(__file__).parent.parent)
|
||
if _v3_root not in _sys.path:
|
||
_sys.path.insert(0, _v3_root)
|
||
from orchestrator_db import GixsqlOrchestrator
|
||
from config import Config
|
||
|
||
_db_config = Config()
|
||
_src_dir = cobol_files[0].parent if cobol_files else Path.cwd()
|
||
_cpy_dirs = [str(_src_dir / '..' / 'cpy')]
|
||
|
||
for filepath in db_files:
|
||
pid = filepath.stem
|
||
prog_outdir = outdir / pid
|
||
prog_outdir.mkdir(parents=True, exist_ok=True)
|
||
(prog_outdir / 'logs').mkdir(parents=True, exist_ok=True)
|
||
(prog_outdir / 'coverage').mkdir(parents=True, exist_ok=True)
|
||
|
||
logger.info(f"\n========== DB: {pid} ==========")
|
||
orch = GixsqlOrchestrator(
|
||
config=_db_config, program_id=pid,
|
||
cobol_src_dir=str(_src_dir),
|
||
copybook_dirs=[str(d) for d in _cpy_dirs],
|
||
skip_jvm=True,
|
||
)
|
||
vr = orch.run_all(generate_coverage=False)
|
||
|
||
# Copy output files to outdir (skip if src == dst to avoid self-copy)
|
||
if orch.runtime_dir.exists() and orch.runtime_dir.resolve() != prog_outdir.resolve():
|
||
for item in orch.runtime_dir.iterdir():
|
||
if item.name == "gixsql.log":
|
||
continue
|
||
dst = prog_outdir / item.name
|
||
if item.is_dir():
|
||
shutil.copytree(str(item), str(dst), dirs_exist_ok=True)
|
||
else:
|
||
try:
|
||
shutil.copy2(str(item), str(dst))
|
||
except PermissionError:
|
||
logger.warning(f" Skipping locked file: {item.name}")
|
||
|
||
logger.info(f" {pid}: rc={vr.exit_code} status={vr.status}")
|
||
|
||
# Coverage report
|
||
if gcov_mode and '--coverage' in getattr(_db_config, 'gixsql_compile_flags', ''):
|
||
cov_result = orch.generate_coverage_report(output_dir=str(prog_outdir / 'coverage'))
|
||
if cov_result.success:
|
||
cv = cov_result.data.get("coverage", "unknown")
|
||
logger.info(f" Coverage: {cv}")
|
||
cov_dict = cov_result.data.get("_cov_dict")
|
||
if cov_dict:
|
||
rel = Path(prog_outdir / 'coverage' / f"{pid}_coverage.html")
|
||
cov_dict['detail_relpath'] = str(rel.relative_to(outdir).as_posix())
|
||
programs.append(cov_dict)
|
||
|
||
for filepath in non_db_files:
|
||
if not filepath.exists():
|
||
logger.error(f"错误：文件不存在 {filepath}")
|
||
continue
|
||
|
||
source = filepath.read_text(encoding='utf-8')
|
||
orig_source = source # 用于行号定位（与 gcov 对齐）
|
||
source = resolve_copybooks(
|
||
source,
|
||
str(filepath.parent),
|
||
extra_search_paths=[str(filepath.parent / '..' / 'cpy')],
|
||
)
|
||
source = resolve_sql_includes(source, str(filepath.parent))
|
||
preprocessed = preprocess(source)
|
||
file_sec = parse_file_section(preprocessed)
|
||
|
||
data_div = extract_data_division(preprocessed)
|
||
if data_div:
|
||
data_div, declared_columns = strip_exec_sql_from_data_div(data_div)
|
||
else:
|
||
declared_columns = {}
|
||
if not data_div:
|
||
logger.error(f"错误：{filepath.name} 中没有 DATA DIVISION。")
|
||
continue
|
||
|
||
data_fields = parse_data_division(data_div)
|
||
if not data_fields:
|
||
logger.error(f"错误：{filepath.name} 中没有找到含 PIC 的字段。")
|
||
continue
|
||
|
||
fields_dict = []
|
||
parent_pic = {}
|
||
filler_counter = 0
|
||
for f in data_fields:
|
||
pi = f.pic_info
|
||
name = f.name
|
||
if name == 'FILLER':
|
||
filler_counter += 1
|
||
if filler_counter > 1:
|
||
name = f'FILLER_{filler_counter}'
|
||
entry = {
|
||
'name': name,
|
||
'level': f.level,
|
||
'pic': f.pic,
|
||
'pic_info': {
|
||
'type': pi.type if pi else 'unknown',
|
||
'digits': pi.digits if pi else 0,
|
||
'decimal': pi.decimal if pi else 0,
|
||
'length': pi.length if pi else 0,
|
||
'signed': pi.signed if pi else False,
|
||
},
|
||
'value': f.value,
|
||
'values': f.values,
|
||
'section': f.section,
|
||
'is_filler': f.is_filler,
|
||
'redefines': f.redefines,
|
||
'usage': f.usage,
|
||
'occurs': f.occurs_count,
|
||
'occurs_depending': f.occurs_depending,
|
||
}
|
||
if f.is_88:
|
||
entry['is_88'] = True
|
||
entry['parent'] = f.parent
|
||
if f.parent and f.parent in parent_pic:
|
||
entry['pic_info'] = dict(parent_pic[f.parent])
|
||
else:
|
||
parent_pic[name] = entry['pic_info']
|
||
fields_dict.append(entry)
|
||
|
||
fields_dict = expand_occurs(fields_dict)
|
||
|
||
sql_register_virtual_fields(fields_dict)
|
||
|
||
fd_fields = {}
|
||
field_to_fd = {}
|
||
if file_sec:
|
||
for fd_name, rec_names in file_sec.items():
|
||
fds = []
|
||
seen = set()
|
||
for rec in rec_names:
|
||
if rec not in seen:
|
||
fds.append(rec)
|
||
seen.add(rec)
|
||
for child in _init_child_names(rec, fields_dict):
|
||
if child not in seen:
|
||
fds.append(child)
|
||
seen.add(child)
|
||
fd_fields[fd_name] = fds
|
||
for child in fds:
|
||
field_to_fd[child] = fd_name
|
||
|
||
# Per-program output directory (always)
|
||
prog_outdir = outdir / filepath.stem
|
||
prog_outdir.mkdir(parents=True, exist_ok=True)
|
||
(prog_outdir / 'logs').mkdir(parents=True, exist_ok=True)
|
||
(prog_outdir / 'coverage').mkdir(parents=True, exist_ok=True)
|
||
|
||
logger.info(f"\n========== {filepath.name} ==========")
|
||
logger.info(f"\n字段列表:")
|
||
logger.info(f"{'层级':<6} {'名称':<25} {'PIC':<15} {'类型':<12} {'长度':<5}")
|
||
logger.info("-" * 65)
|
||
for f in fields_dict:
|
||
pi = f['pic_info']
|
||
t = pi.get('type', '?')
|
||
l = pi.get('digits', 0) + pi.get('decimal', 0) or pi.get('length', 0)
|
||
pic_display = str(f.get('pic', '')) if f.get('pic') else ('88-level' if f.get('is_88') else '')
|
||
logger.info(f"{f['level']:<6} {f['name']:<25} {pic_display:<15} {t:<12} {l:<5}")
|
||
|
||
proc_div = extract_procedure_division(preprocessed)
|
||
branch_paths = []
|
||
assignments = {}
|
||
|
||
if proc_div:
|
||
branch_tree, assignments = build_branch_tree(proc_div, fields_dict, full_source=preprocessed)
|
||
|
||
roles = classify_field_roles(branch_tree, assignments, fields_dict,
|
||
source=preprocessed, proc_text=proc_div)
|
||
logger.info(f"\n字段角色（输入/输出/出入/未用）:")
|
||
for f in fields_dict:
|
||
if f.get('is_88'):
|
||
continue
|
||
logger.info(f" {f['name']:<30} {roles.get(f['name'], '?')}")
|
||
|
||
abend_list = CONFIG.get('abend_programs', [])
|
||
if abend_list:
|
||
extend_abend_programs(abend_list)
|
||
branch_paths_with_assigns = enum_paths(branch_tree, fields_dict)
|
||
path_infos = []
|
||
for c, a in branch_paths_with_assigns:
|
||
filtered_c, term = get_term_type(c)
|
||
path_infos.append((filtered_c, a, term))
|
||
|
||
def _is_skip(cons):
|
||
eq1_true = 0
|
||
other = 0
|
||
for c in cons:
|
||
if len(c) == 4 and c[0] == 'WRK-R01EOF':
|
||
val = str(c[2]).strip("'\"")
|
||
if val == '1' and c[1] == '=' and c[3]:
|
||
eq1_true += 1
|
||
else:
|
||
other += 1
|
||
return eq1_true > 0 and other == 0
|
||
|
||
skip_path_infos = [p for p in path_infos if _is_skip(p[0])]
|
||
main_path_infos = [p for p in path_infos if not _is_skip(p[0])]
|
||
_c01_types = {}
|
||
for pi in path_infos:
|
||
wants = tuple(c[3] for c in pi[0] if len(c) == 4 and c[0] == 'C01CHKRRC' and c[1] == '<>' and c[2] == 'ZERO')
|
||
if wants:
|
||
_c01_types[wants] = _c01_types.get(wants, 0) + 1
|
||
logger.info(f" C01 path types: {dict(sorted(_c01_types.items()))}")
|
||
path_infos = main_path_infos
|
||
if skip_path_infos:
|
||
logger.info(f" Skip 路径: {len(skip_path_infos)} 条（将单独生成数据集）")
|
||
|
||
open_dir = scan_all_file_directions(proc_div) if proc_div else {}
|
||
|
||
if proc_div:
|
||
logger.info(f"\n分支路径数：{len(branch_paths_with_assigns)}")
|
||
for i, (path_cons, _path_assign) in enumerate(branch_paths_with_assigns):
|
||
descs = []
|
||
for c in path_cons:
|
||
if len(c) == 4:
|
||
field, op, val, want = c
|
||
if op == 'not_in':
|
||
descs.append(f"{field} not in {val}")
|
||
else:
|
||
descs.append(f"{field} {op} {val} ({'T' if want else 'F'})")
|
||
logger.debug(f" 路径 {i + 1}: {', '.join(descs)}")
|
||
else:
|
||
logger.warning("\n没有找到 PROCEDURE DIVISION。")
|
||
branch_paths_with_assigns = [([], {})]
|
||
path_infos = [([], {}, 'normal')]
|
||
roles = {f['name']: 'unused' for f in fields_dict}
|
||
|
||
records, kept_path_cons, term_types = generate_records(path_infos, fields_dict, assignments, file_sec=file_sec)
|
||
|
||
def _is_eof_path(cons):
|
||
last_eq1_true = -1
|
||
for i, c in enumerate(cons):
|
||
if len(c) == 4 and c[0] == 'WRK-R01EOF':
|
||
val = str(c[2]).strip("'\"")
|
||
if val == '1' and c[1] == '=' and c[3]:
|
||
last_eq1_true = i
|
||
if last_eq1_true < 0:
|
||
return False
|
||
for i in range(last_eq1_true + 1, len(cons)):
|
||
if len(cons[i]) == 4 and cons[i][0] == 'WRK-R01EOF':
|
||
return False
|
||
return True
|
||
eof_mask = [_is_eof_path(c) for c, a, t in path_infos]
|
||
eof_count = sum(eof_mask)
|
||
if eof_count:
|
||
term_types = ['eof' if e else t for e, t in zip(eof_mask, term_types)]
|
||
logger.info(f" EOF 路径: {eof_count} 条（将单独执行）")
|
||
|
||
multi_write_fds = _find_multi_write_fds(branch_tree, field_to_fd) if proc_div and branch_tree else set()
|
||
if multi_write_fds:
|
||
logger.info(f" 检测到多 WRITE FD: {', '.join(sorted(multi_write_fds))}")
|
||
_chain_prev(records, path_infos, fields_dict, fd_fields, field_to_fd, open_dir)
|
||
|
||
# P4: inject empty EMP-ID record to trigger R01EMP-ID = SPACE path
|
||
_inject_empty_emp_rec(records, fields_dict)
|
||
# P5: inject records for uncovered C01 decision points (DP#9-#12 T)
|
||
_inject_c01_coverage_records(records, fields_dict, assignments)
|
||
# P6: coordinate cross-file keys for multi-file matching programs
|
||
_coordinate_multi_file_keys(records, kept_path_cons, fields_dict, assignments, file_sec, term_types=term_types, open_dir=open_dir)
|
||
# P6.5: 金额-区间对齐（N:1 集約→GRADE 匹配路径可达）
|
||
_coordinate_range_matching(records, fields_dict, file_sec, open_dir, term_types)
|
||
# P7: inject leave-type coverage for 2030PRIOSOR EVALUATE branches
|
||
_inject_leave_type_scenarios(records, term_types)
|
||
# P8: opaque FD + READ INTO — 将 WS 子字段值序列化回 FD 记录字节
|
||
_serialize_read_into_records(records, assignments, fields_dict, file_sec)
|
||
# P9: MERGE 程序 — 为 USING 输入文件注入 S/B 记录
|
||
_inject_merge_input_records(records, fields_dict, file_sec, fd_fields, proc_div, term_types=term_types)
|
||
# P10: LINAGE 分页（WRITE AT END-OF-PAGE）— 补充分页体积记录
|
||
_inject_end_of_page_records(records, source, proc_div, file_sec, open_dir, term_types=term_types)
|
||
# P11: SORT 计数守卫（RELEASE + IF <cnt> <= <上限>）— 补充上限体积记录
|
||
_inject_sort_limit_records(records, proc_div, fields_dict, term_types=term_types)
|
||
|
||
if _HAVE_TOSQL:
|
||
sql_meta = collect_sql_meta(assignments, declared_columns)
|
||
db_input = build_db_input(
|
||
branch_paths_with_assigns, fields_dict, assignments, sql_meta, declared_columns,
|
||
records=records,
|
||
)
|
||
else:
|
||
db_input = None
|
||
|
||
outpath = prog_outdir / 'main' / 'json' / (filepath.stem + '.json')
|
||
output_json(records, outpath, roles,
|
||
fd_fields=fd_fields, field_to_fd=field_to_fd,
|
||
open_dir=open_dir,
|
||
term_types=term_types,
|
||
db_input=db_input if db_input else None,
|
||
data_fields=fields_dict)
|
||
|
||
select_info = parse_file_control(preprocessed)
|
||
|
||
output_input_files(records, prog_outdir / 'main' / 'input', filepath.stem, roles,
|
||
fd_fields, field_to_fd, open_dir,
|
||
term_types=term_types,
|
||
data_fields=fields_dict, select_info=select_info)
|
||
|
||
# P12: 子程序输入供给（CALL 目标子程序的 INPUT FD 输入文件）
|
||
_provision_sub_input_files(
|
||
source, str(filepath.parent), prog_outdir / 'main' / 'input'
|
||
)
|
||
|
||
# ── Skip 数据集（主 FD 空文件触发 PERFORM UNTIL 条件即时满足）──
|
||
skip_records = None
|
||
skip_term_types = None
|
||
if skip_path_infos:
|
||
skip_records, _, skip_term_types = generate_records(
|
||
skip_path_infos, fields_dict, assignments, file_sec=file_sec)
|
||
# 剥离主 FD 的输入字段（记录不写入输入文件 → 文件为空）
|
||
eof_fd = 'R01INNFIL'
|
||
eof_fd_fields = set(fd_fields.get(eof_fd, []))
|
||
eof_fd_dir = (open_dir or {}).get(eof_fd, '')
|
||
for rec in skip_records:
|
||
for fname in list(rec.keys()):
|
||
if fname in eof_fd_fields:
|
||
r = roles.get(fname, 'unused')
|
||
if eof_fd_dir in ('INPUT', 'I-O') and r in ('input', 'inout'):
|
||
del rec[fname]
|
||
# 写 Skip JSON
|
||
skip_outpath = prog_outdir / 'skip' / 'json' / (filepath.stem + '.json')
|
||
output_json(skip_records, skip_outpath, roles,
|
||
fd_fields=fd_fields, field_to_fd=field_to_fd,
|
||
open_dir=open_dir, term_types=skip_term_types,
|
||
data_fields=fields_dict)
|
||
# 写 Skip 输入文件（主 FD 因字段已剥离而不输出）
|
||
skip_input_dir = prog_outdir / 'skip' / 'input'
|
||
output_input_files(skip_records, skip_input_dir,
|
||
filepath.stem + '_skip', roles,
|
||
fd_fields, field_to_fd, open_dir,
|
||
term_types=skip_term_types,
|
||
data_fields=fields_dict, select_info=select_info)
|
||
# 强制写空主 FD 输入文件（0 条记录，COBOL 运行时需要文件存在）
|
||
eof_input_path = skip_input_dir / f'{filepath.stem}_skip_{eof_fd}.json'
|
||
eof_input_path.parent.mkdir(parents=True, exist_ok=True)
|
||
with open(eof_input_path, 'w', encoding='utf-8') as f:
|
||
json.dump([], f)
|
||
# 空二进制文件（COBOL INPUT 模式需要物理文件存在）
|
||
eof_assign = select_info.get(eof_fd, {}).get('assign', '')
|
||
if eof_assign:
|
||
bin_path = skip_input_dir / eof_assign
|
||
bin_path.parent.mkdir(parents=True, exist_ok=True)
|
||
bin_path.write_bytes(b'')
|
||
logger.info(f" Skip 数据集: {skip_outpath}（空 {eof_fd}）")
|
||
|
||
gcov_data = None
|
||
if gcov_mode and proc_div and _HAVE_GCOV and _HAVE_RUNNER:
|
||
_temp = temp_dir or str(prog_outdir / '.gcov_cache')
|
||
source_dir = str(filepath.parent)
|
||
expected_records: list[dict] = [{}] * len(records)
|
||
if file_sec and os.path.exists(outpath):
|
||
with open(outpath, encoding='utf-8') as f:
|
||
full_json = json.load(f)
|
||
json_records = full_json.get('records', [])
|
||
for i in range(len(records)):
|
||
exp = {}
|
||
if i < len(json_records):
|
||
json_rec = json_records[i]
|
||
for fd_name in file_sec:
|
||
eo = json_rec.get('expected_output', {})
|
||
if fd_name in eo:
|
||
exp.update(eo[fd_name])
|
||
expected_records[i] = exp
|
||
|
||
group_results, gcov_data = run_all(
|
||
filepath.stem, str(prog_outdir), _temp,
|
||
fields_dict, fd_fields, select_info, open_dir,
|
||
term_types, records, expected_records=expected_records,
|
||
source_dir=source_dir, path_infos=path_infos,
|
||
multi_write_fds=multi_write_fds,
|
||
skip_records=skip_records,
|
||
skip_term_types=skip_term_types,
|
||
)
|
||
|
||
passed = sum(1 for r in group_results if r.passed)
|
||
total = len(group_results)
|
||
logger.info(f"\n 执行验证: {passed}/{total} 组通过")
|
||
if passed < total:
|
||
for r in group_results:
|
||
if not r.passed and r.details:
|
||
fails = [d for d in r.details if not d.match][:3]
|
||
for d in fails:
|
||
logger.warning(f" [{r.name}] {d.field}: "
|
||
f"期望={d.expected!r}, 实际={d.actual!r}")
|
||
|
||
if do_run and proc_div and _HAVE_RUNNER:
|
||
run_and_compare(
|
||
filepath.stem, str(prog_outdir), fields_dict,
|
||
fd_fields, select_info, open_dir,
|
||
term_types, records,
|
||
)
|
||
|
||
logger.info(f"\n输出：{outpath}（{len(records)} 条记录）")
|
||
logger.debug(f"\n记录明细：")
|
||
for i, rec in enumerate(records, 1):
|
||
vals = []
|
||
for f in fields_dict:
|
||
r = roles.get(f['name'], '?')
|
||
marker = f"[{r[0].upper()}]" if r != '?' and r != 'unused' else ''
|
||
vals.append(f"{marker}{f['name']}={rec.get(f['name'], '?')}")
|
||
logger.debug(f" 记录 {i}: {' | '.join(vals)}")
|
||
|
||
(prog_outdir / 'coverage').mkdir(parents=True, exist_ok=True)
|
||
cov_prefix = str(prog_outdir / 'coverage' / filepath.stem)
|
||
# DEBUG: check DP#3 constraints
|
||
dp3_t_count = 0
|
||
dp3_f_count = 0
|
||
dp3_t_paths = 0
|
||
dp3_f_paths = 0
|
||
dp3_sample = set()
|
||
for cons, _ in branch_paths_with_assigns:
|
||
has_t = False
|
||
has_f = False
|
||
for c in cons:
|
||
if len(c) == 4:
|
||
c0 = str(c[0]).strip()
|
||
c1 = str(c[1]).strip()
|
||
c2 = str(c[2]).strip()
|
||
c3 = c[3]
|
||
if c0 == 'WRK-R02KEY' and c1 == '>=' and c2 == 'WRK-R01KEY':
|
||
if c3:
|
||
dp3_t_count += 1
|
||
has_t = True
|
||
else:
|
||
dp3_f_count += 1
|
||
has_f = True
|
||
elif c0 == 'WRK-R02KEY':
|
||
dp3_sample.add(f"({c0},{c1},{c2},{c3})")
|
||
if has_t:
|
||
dp3_t_paths += 1
|
||
if has_f:
|
||
dp3_f_paths += 1
|
||
logger.info(f"DEBUG DP#3: T={dp3_t_count}/{dp3_t_paths}paths, F={dp3_f_count}/{dp3_f_paths}paths (total={len(branch_paths_with_assigns)})")
|
||
if dp3_sample:
|
||
logger.info(f"DEBUG DP#3 other constraints: {sorted(dp3_sample)[:5]}")
|
||
cov_result = run_coverage(branch_tree, branch_paths_with_assigns, fields_dict,
|
||
orig_source, cov_prefix, index_relpath='index.html',
|
||
gcov_data=gcov_data)
|
||
programs.append(cov_result)
|
||
programs[-1]['detail_relpath'] = f'{filepath.stem}/coverage/{filepath.stem}_coverage.html'
|
||
|
||
if programs:
|
||
generate_coverage_index(programs, outdir / 'coverage')
|
||
logger.info(f"\n覆盖率总览：{outdir / 'coverage' / 'index.html'}")
|
||
|
||
|
||
# ════════════════════════════════════════════
|
||
# Phase 1: 可编程 API（供 orchestrator.py 调用）
|
||
# ════════════════════════════════════════════
|
||
|
||
|
||
def extract_structure(cobol_source: str, copybook_dirs: list = None) -> dict:
|
||
"""分析 COBOL 源码的结构，返回结构摘要。不生成测试数据，只做静态分析。
|
||
|
||
Args:
|
||
cobol_source: COBOL source text.
|
||
copybook_dirs: Optional list of COPYBOOK search paths.
|
||
|
||
Returns:
|
||
dict with: paragraphs, decision_points, branch_tree, file_count,
|
||
open_directions, has_search_all, has_evaluate,
|
||
has_call, has_break, total_branches, total_paragraphs
|
||
"""
|
||
preprocessed = preprocess(cobol_source, extra_search_paths=copybook_dirs)
|
||
data_div = extract_data_division(preprocessed)
|
||
data_fields = parse_data_division(data_div) if data_div else []
|
||
|
||
fields_dict = []
|
||
for idx, f in enumerate(data_fields):
|
||
entry = {
|
||
'name': f.name if f.name != 'FILLER' else f'FILLER_{idx + 1}',
|
||
'level': f.level, 'pic': f.pic,
|
||
'pic_info': {
|
||
'type': f.pic_info.type if f.pic_info else 'unknown',
|
||
'digits': f.pic_info.digits if f.pic_info else 0,
|
||
'decimal': f.pic_info.decimal if f.pic_info else 0,
|
||
'length': f.pic_info.length if f.pic_info else 0,
|
||
'signed': f.pic_info.signed if f.pic_info else False,
|
||
},
|
||
'section': f.section, 'occurs': f.occurs_count,
|
||
'occurs_depending': f.occurs_depending,
|
||
'redefines': f.redefines, 'usage': f.usage,
|
||
}
|
||
if f.is_88:
|
||
entry['is_88'] = True
|
||
entry['parent'] = f.parent
|
||
entry['value'] = f.value
|
||
entry['values'] = f.values
|
||
fields_dict.append(entry)
|
||
|
||
fields_dict = expand_occurs(fields_dict)
|
||
|
||
proc_div = extract_procedure_division(preprocessed)
|
||
branch_tree = None
|
||
assignments = {}
|
||
if proc_div:
|
||
branch_tree, assignments = build_branch_tree_fallback(proc_div, fields_dict)
|
||
|
||
file_sec = parse_file_section(preprocessed)
|
||
open_dir = scan_all_file_directions(proc_div) if proc_div else {}
|
||
|
||
from .models import BrIf, BrEval, BrSeq, BrPerform, BrSearch, Assign, CondAnd, CondOr
|
||
|
||
decision_points = []
|
||
total_branches = 0
|
||
|
||
def _walk(node, counter):
|
||
nonlocal total_branches
|
||
if isinstance(node, BrIf):
|
||
counter[0] += 1
|
||
branches = 2
|
||
decision_points.append({
|
||
"id": counter[0], "kind": "IF",
|
||
"label": str(node.condition)[:80], "branches": branches,
|
||
})
|
||
total_branches += branches
|
||
_walk(node.true_seq, counter)
|
||
_walk(node.false_seq, counter)
|
||
elif isinstance(node, BrEval):
|
||
counter[0] += 1
|
||
seen_br = set()
|
||
uni_count = 0
|
||
for v, _ in node.when_list:
|
||
brn = f"WHEN {v}"
|
||
if brn not in seen_br:
|
||
uni_count += 1
|
||
seen_br.add(brn)
|
||
n = uni_count + (1 if node.has_other and "OTHER" not in seen_br else 0)
|
||
decision_points.append({"id": counter[0], "kind": "EVALUATE",
|
||
"label": str(node.subject)[:80], "branches": n})
|
||
total_branches += n
|
||
for _, seq in node.when_list:
|
||
_walk(seq, counter)
|
||
_walk(node.other_seq, counter)
|
||
elif isinstance(node, BrSeq):
|
||
for child in node.children:
|
||
_walk(child, counter)
|
||
elif isinstance(node, BrPerform):
|
||
if node.condition and node.perf_type in ('until', 'para_until', 'varying', 'para_varying'):
|
||
counter[0] += 1
|
||
decision_points.append({
|
||
"id": counter[0], "kind": "PERFORM",
|
||
"label": str(node.condition)[:80], "branches": 2,
|
||
})
|
||
total_branches += 2
|
||
_walk(node.body_seq, counter)
|
||
elif isinstance(node, BrSearch):
|
||
_walk(node.at_end_seq, counter)
|
||
for _, seq in node.when_list:
|
||
_walk(seq, counter)
|
||
|
||
if branch_tree:
|
||
_walk(branch_tree, [0])
|
||
|
||
lines = proc_div.split('\n') if proc_div else []
|
||
paragraphs = set()
|
||
for line in lines:
|
||
m = re.match(r'^\s*([A-Z0-9][A-Z0-9-]*)\.\s*$', line.strip())
|
||
if m:
|
||
paragraphs.add(m.group(1))
|
||
|
||
select_files = parse_file_control(preprocessed)
|
||
|
||
open_directions_detail = open_dir
|
||
|
||
has_divide = bool(re.search(r'\bDIVIDE\b', cobol_source.upper()))
|
||
has_inspect = bool(re.search(r'\bINSPECT\b', cobol_source.upper()))
|
||
has_string = bool(re.search(r'\bSTRING\b', cobol_source.upper()))
|
||
|
||
divide_constants = []
|
||
if has_divide and proc_div:
|
||
for dm in re.finditer(r'\bDIVIDE\s+([\d.]+)\b', proc_div, re.IGNORECASE):
|
||
val = dm.group(1)
|
||
try:
|
||
divide_constants.append(float(val))
|
||
except ValueError:
|
||
pass
|
||
|
||
perform_patterns = []
|
||
|
||
def _walk_performs(node):
|
||
if isinstance(node, BrPerform):
|
||
entry = {
|
||
"type": node.perf_type,
|
||
"target": node.target,
|
||
"condition": node.condition,
|
||
"times": node.times,
|
||
"varying_var": node.varying_var,
|
||
}
|
||
perform_patterns.append(entry)
|
||
_walk_performs(node.body_seq)
|
||
elif isinstance(node, BrIf):
|
||
_walk_performs(node.true_seq)
|
||
_walk_performs(node.false_seq)
|
||
elif isinstance(node, BrEval):
|
||
for _, seq in node.when_list:
|
||
_walk_performs(seq)
|
||
_walk_performs(node.other_seq)
|
||
elif isinstance(node, BrSeq):
|
||
for c in node.children:
|
||
_walk_performs(c)
|
||
|
||
if branch_tree:
|
||
_walk_performs(branch_tree)
|
||
|
||
main_loop = None
|
||
|
||
def _find_main_loop(node, depth=0):
|
||
nonlocal main_loop
|
||
if main_loop is not None:
|
||
return
|
||
if isinstance(node, BrPerform):
|
||
if _perform_has_read(node):
|
||
main_loop = {
|
||
"type": node.perf_type,
|
||
"read_file": _perform_read_file(node),
|
||
"has_at_end": False,
|
||
}
|
||
return
|
||
_find_main_loop(node.body_seq, depth + 1)
|
||
elif isinstance(node, BrIf):
|
||
_find_main_loop(node.true_seq, depth + 1)
|
||
_find_main_loop(node.false_seq, depth + 1)
|
||
elif isinstance(node, BrEval):
|
||
for _, seq in node.when_list:
|
||
_find_main_loop(seq, depth + 1)
|
||
_find_main_loop(node.other_seq, depth + 1)
|
||
elif isinstance(node, BrSeq):
|
||
for c in node.children:
|
||
_find_main_loop(c, depth + 1)
|
||
|
||
def _perform_has_read(perf_node):
|
||
def _walk_seq(seq):
|
||
if isinstance(seq, Assign):
|
||
if seq.source_info.get('type') == 'read_into':
|
||
return True
|
||
elif isinstance(seq, BrSeq):
|
||
for ch in seq.children:
|
||
if _walk_seq(ch):
|
||
return True
|
||
return False
|
||
return _walk_seq(perf_node.body_seq)
|
||
|
||
def _perform_read_file(perf_node):
|
||
def _walk_seq(seq):
|
||
if isinstance(seq, Assign):
|
||
if seq.source_info.get('type') == 'read_into':
|
||
return seq.source_info.get('file', '')
|
||
elif isinstance(seq, BrSeq):
|
||
for ch in seq.children:
|
||
result = _walk_seq(ch)
|
||
if result:
|
||
return result
|
||
return None
|
||
return _walk_seq(perf_node.body_seq)
|
||
|
||
if branch_tree:
|
||
_find_main_loop(branch_tree)
|
||
|
||
if_types = {"total": 0, "comparison": 0, "equality": 0, "compound": 0, "nested_depth": 0}
|
||
|
||
def _walk_if_types(node, depth=0):
|
||
if isinstance(node, BrIf):
|
||
if_types["total"] += 1
|
||
if_types["nested_depth"] = max(if_types["nested_depth"], depth)
|
||
ct = node.cond_tree
|
||
if ct:
|
||
leaves = collect_leaves(ct)
|
||
if isinstance(ct, (CondAnd, CondOr)):
|
||
if_types["compound"] += 1
|
||
for leaf in leaves:
|
||
if leaf.op in ('>', '<', '>=', '<='):
|
||
if_types["comparison"] += 1
|
||
elif leaf.op in ('=', '<>'):
|
||
if_types["equality"] += 1
|
||
_walk_if_types(node.true_seq, depth + 1)
|
||
_walk_if_types(node.false_seq, depth + 1)
|
||
elif isinstance(node, BrEval):
|
||
for _, seq in node.when_list:
|
||
_walk_if_types(seq, depth + 1)
|
||
_walk_if_types(node.other_seq, depth + 1)
|
||
elif isinstance(node, BrPerform):
|
||
_walk_if_types(node.body_seq, depth + 1)
|
||
elif isinstance(node, BrSeq):
|
||
for c in node.children:
|
||
_walk_if_types(c, depth + 1)
|
||
|
||
if branch_tree:
|
||
_walk_if_types(branch_tree)
|
||
|
||
variable_patterns = {
|
||
"has_prev_key": False,
|
||
"has_accumulator": False,
|
||
"has_error_flag": False,
|
||
"has_switch": False,
|
||
"has_index": False,
|
||
"has_save_area": False,
|
||
"has_counter": False,
|
||
"has_work": False,
|
||
}
|
||
for f in fields_dict:
|
||
name = f.get('name', '')
|
||
if re.search(r'\bWS-PREV[-_]', name, re.IGNORECASE):
|
||
variable_patterns["has_prev_key"] = True
|
||
if re.search(r'[-_]CNT\b', name, re.IGNORECASE) or re.search(r'[-_]ACCUM\b', name, re.IGNORECASE):
|
||
variable_patterns["has_accumulator"] = True
|
||
if re.search(r'[-_]ERR\b', name, re.IGNORECASE) or re.search(r'[-_]ERROR[-_]', name, re.IGNORECASE):
|
||
variable_patterns["has_error_flag"] = True
|
||
if re.search(r'[-_]SW\b', name, re.IGNORECASE) or re.search(r'[-_]FLAG\b', name, re.IGNORECASE):
|
||
variable_patterns["has_switch"] = True
|
||
if re.search(r'[-_]IDX\b', name, re.IGNORECASE) or re.search(r'[-_]INDX\b', name, re.IGNORECASE) or re.search(r'[-_]SUB\b', name, re.IGNORECASE):
|
||
variable_patterns["has_index"] = True
|
||
if re.search(r'[-_]SAVE[-_]', name, re.IGNORECASE) or re.search(r'[-_]HOLD[-_]', name, re.IGNORECASE):
|
||
variable_patterns["has_save_area"] = True
|
||
if re.search(r'[-_]CNT\b', name, re.IGNORECASE) or re.search(r'[-_]COUNT\b', name, re.IGNORECASE):
|
||
variable_patterns["has_counter"] = True
|
||
if name.startswith('WS-') and not re.search(r'(?:CNT|ERR|SW|IDX|INDX|SUB|SAVE|HOLD|PREV|ACCUM)', name, re.IGNORECASE):
|
||
if re.search(r'[-_]W\b|[-_]WORK\b|[-_]WK\b|^WS-W[0O]\w', name, re.IGNORECASE):
|
||
variable_patterns["has_work"] = True
|
||
|
||
open_pattern = "sequential"
|
||
if proc_div:
|
||
proc_upper = proc_div.upper()
|
||
open_positions = [m.start() for m in re.finditer(r'\bOPEN\b', proc_upper)]
|
||
close_positions = [m.start() for m in re.finditer(r'\bCLOSE\b', proc_upper)]
|
||
if open_positions and close_positions:
|
||
for i, opos in enumerate(open_positions):
|
||
for cpos in close_positions:
|
||
if cpos > opos:
|
||
for opos2 in open_positions:
|
||
if opos2 > cpos:
|
||
open_pattern = "open-close-open"
|
||
break
|
||
if open_pattern == "open-close-open":
|
||
break
|
||
if open_pattern == "open-close-open":
|
||
break
|
||
|
||
return {
|
||
"paragraphs": sorted(paragraphs) if paragraphs else [],
|
||
"decision_points": decision_points,
|
||
"branch_tree": branch_tree,
|
||
"file_count": len(file_sec) if file_sec else 0,
|
||
"open_directions": open_dir,
|
||
"has_search_all": any('SEARCH' in str(dp.get('label', '')) for dp in decision_points),
|
||
"has_evaluate": any(dp['kind'] == 'EVALUATE' for dp in decision_points),
|
||
"has_call": 'CALL' in cobol_source.upper(),
|
||
"has_break": any('KEY' in str(dp.get('label', '')).upper() for dp in decision_points),
|
||
"total_branches": total_branches,
|
||
"total_paragraphs": len(paragraphs),
|
||
"branch_tree_obj": branch_tree,
|
||
"select_files": select_files,
|
||
"open_directions_detail": open_directions_detail,
|
||
"has_divide": has_divide,
|
||
"divide_constants": divide_constants,
|
||
"has_inspect": has_inspect,
|
||
"has_string": has_string,
|
||
"perform_patterns": perform_patterns,
|
||
"main_loop": main_loop,
|
||
"if_types": if_types,
|
||
"variable_patterns": variable_patterns,
|
||
"open_pattern": open_pattern,
|
||
"data_fields": fields_dict,
|
||
}
|
||
|
||
|
||
def generate_data(cobol_source: str, structure: dict = None,
|
||
copybook_dirs: list = None) -> list[dict]:
|
||
"""根据 COBOL 源码生成覆盖所有路径的测试数据。
|
||
|
||
Args:
|
||
cobol_source: COBOL 程序原始源码文本（未预处理）。
|
||
内部会调 preprocess + resolve_copybooks + resolve_sql_includes。
|
||
如果已预处理过，传进来会因字段列表不全导致数据不完整。
|
||
COPYBOOK 路径通过 copybook_dirs 参数传入。
|
||
structure: 可选，如果已调用 extract_structure() 可传入避免重复解析
|
||
copybook_dirs: 可选，COPYBOOK 搜索路径列表。指定后可自动展开 COPY 和 EXEC SQL INCLUDE。
|
||
|
||
Returns:
|
||
list[dict]: 测试数据记录列表，每条包含所有字段的值
|
||
"""
|
||
if structure is None:
|
||
structure = extract_structure(cobol_source)
|
||
|
||
branch_tree = structure.get("branch_tree_obj")
|
||
if branch_tree is None:
|
||
return []
|
||
|
||
if copybook_dirs:
|
||
src_resolved = resolve_copybooks(cobol_source, '.', extra_search_paths=copybook_dirs)
|
||
src_resolved = resolve_sql_includes(src_resolved, '.')
|
||
preprocessed = preprocess(src_resolved)
|
||
else:
|
||
# Also try SQL include resolution without copybook
|
||
src_sql = resolve_sql_includes(cobol_source, '.')
|
||
preprocessed = preprocess(src_sql)
|
||
data_div = extract_data_division(preprocessed)
|
||
data_fields = parse_data_division(data_div) if data_div else []
|
||
|
||
fields_dict = []
|
||
for f in data_fields:
|
||
entry = {
|
||
'name': f.name, 'level': f.level, 'pic': f.pic,
|
||
'pic_info': {
|
||
'type': f.pic_info.type if f.pic_info else 'unknown',
|
||
'digits': f.pic_info.digits if f.pic_info else 0,
|
||
'decimal': f.pic_info.decimal if f.pic_info else 0,
|
||
'length': f.pic_info.length if f.pic_info else 0,
|
||
'signed': f.pic_info.signed if f.pic_info else False,
|
||
},
|
||
'section': f.section, 'occurs': f.occurs_count,
|
||
'occurs_depending': f.occurs_depending,
|
||
'value': f.value, 'values': f.values,
|
||
'redefines': f.redefines, 'usage': f.usage,
|
||
}
|
||
if f.is_88:
|
||
entry['is_88'] = True
|
||
entry['parent'] = f.parent
|
||
fields_dict.append(entry)
|
||
|
||
fields_dict = expand_occurs(fields_dict)
|
||
proc_div = extract_procedure_division(preprocessed)
|
||
_, assignments = build_branch_tree_fallback(proc_div, fields_dict)
|
||
|
||
# EXEC SQL ブロックは preprocess で除去されるため、
|
||
# 原ソースから直接抽出して assignments にマージする
|
||
from .core import extract_sql_assignments
|
||
sql_assigns = extract_sql_assignments(cobol_source)
|
||
for tgt, asgn_list in sql_assigns.items():
|
||
for asgn in asgn_list:
|
||
assignments.setdefault(tgt, []).append(asgn)
|
||
|
||
file_sec = parse_file_section(preprocessed)
|
||
|
||
branch_paths_unfiltered = mcdc_enum_paths(branch_tree, fields_dict)
|
||
path_infos = []
|
||
for c, a in branch_paths_unfiltered:
|
||
for cc in c:
|
||
if len(cc) >= 4 and str(cc[0]) in ('WS-STATUS', 'WS-APPL-ID'):
|
||
print(f" PATH-DEBUG: {cc}", flush=True)
|
||
break
|
||
filtered_c, term = get_term_type(c)
|
||
path_infos.append((filtered_c, a, term))
|
||
|
||
_fdict_names = {f['name'] for f in fields_dict}
|
||
def _resolve_field(fn: str) -> str:
|
||
if fn.startswith("_"):
|
||
return fn
|
||
ufn = fn.upper()
|
||
if ' OF ' in ufn:
|
||
fn = fn.split(' OF ')[0].strip()
|
||
if fn in _fdict_names:
|
||
return fn
|
||
# Check subscript: WS-PLAN-CODE(WS-PLAN-IDX) -> WS-PLAN-CODE
|
||
m = re.match(r'^(\w[\w-]*)\s*\(', fn)
|
||
if m:
|
||
base = m.group(1)
|
||
if base in _fdict_names:
|
||
return base
|
||
# Check if any field in fdict starts with base + "("
|
||
if any(f.startswith(base + "(") for f in _fdict_names):
|
||
return base
|
||
return fn
|
||
def _is_arith_expr(fn):
|
||
return any(op in fn for op in [' + ', ' - ', ' * ', ' / '])
|
||
|
||
filtered_paths = []
|
||
for cons_list, asgn, term in path_infos:
|
||
clean = []
|
||
for c in cons_list:
|
||
if len(c) >= 4:
|
||
fn = _resolve_field(str(c[0]))
|
||
if fn in _fdict_names or fn.startswith("_") or _is_arith_expr(str(c[0])) or \
|
||
any(f.startswith(fn + "(") for f in _fdict_names):
|
||
c = list(c); c[0] = fn
|
||
clean.append(tuple(c))
|
||
else:
|
||
clean.append(c)
|
||
filtered_paths.append((clean, asgn, term))
|
||
path_infos = filtered_paths
|
||
|
||
records, kept_paths, term_types = generate_records(path_infos, fields_dict, assignments, file_sec=file_sec)
|
||
|
||
# ── Coverage marking: which decision branches are actually covered ──
|
||
if branch_tree and fields_dict:
|
||
try:
|
||
dp_list, leaf_stats = collect_decision_points(branch_tree, fields_dict)
|
||
cov_paths = [(pi[0], pi[1]) for pi in path_infos if isinstance(pi, (list, tuple)) and len(pi) >= 2]
|
||
mark_coverage(dp_list, leaf_stats, cov_paths, fields_dict)
|
||
if structure is not None:
|
||
structure['coverage'] = {
|
||
'decision_points': [{
|
||
'id': dp.id, 'kind': dp.kind,
|
||
'label': getattr(dp, 'label', '')[:60],
|
||
'branches': len(dp.branch_names),
|
||
'covered': len(dp.active_branches),
|
||
} for dp in dp_list],
|
||
'total': sum(len(dp.branch_names) for dp in dp_list),
|
||
'covered': sum(len(dp.active_branches) for dp in dp_list),
|
||
'pct': sum(len(dp.active_branches) for dp in dp_list) / max(sum(len(dp.branch_names) for dp in dp_list), 1) * 100,
|
||
}
|
||
except Exception as e:
|
||
if structure is not None:
|
||
structure['coverage'] = {'error': str(e)[:80]}
|
||
|
||
if records:
|
||
import re as _re
|
||
proc_upper = (proc_div or "").upper()
|
||
for m in _re.finditer(r'IF\s+(\w[\w-]*)\s*[=<>]\s*(\w[\w-]*)', proc_upper):
|
||
lhs, rhs = m.group(1), m.group(2)
|
||
lhs_in = any(lhs == f['name'] for f in fields_dict)
|
||
rhs_in = any(rhs == f['name'] for f in fields_dict)
|
||
if lhs_in and rhs_in and any(lhs in r for r in records) and any(rhs in r for r in records):
|
||
half = max(1, len(records) // 2)
|
||
for i, rec in enumerate(records):
|
||
if lhs in rec and rhs in rec and i < half:
|
||
rec[rhs] = rec[lhs]
|
||
|
||
# P6: 跨文件キー協調（DB/非DB 両パイプ共通）— 部分記錄のキーを
|
||
# 主表（R02/R03 等）と一致させ、照合 STAGE/DB SELECT 経路を到達可能にする。
|
||
# 出力 FD は open_dir で除外し、入力 FD 同士のみ協調する。
|
||
if records and file_sec:
|
||
try:
|
||
open_dir = scan_all_file_directions(proc_div or '')
|
||
_coordinate_multi_file_keys(
|
||
records, kept_paths, fields_dict, assignments,
|
||
file_sec, term_types=term_types, open_dir=open_dir,
|
||
)
|
||
# P6.5: 金额-区间对齐（N:1 集約→GRADE 匹配路径可达，DB/非DB 共通）
|
||
_coordinate_range_matching(
|
||
records, fields_dict, file_sec, open_dir, term_types,
|
||
)
|
||
except Exception as e:
|
||
logger.warning(f" cross-file key coordination skipped: {e}")
|
||
|
||
return records
|
||
|
||
|
||
def incremental_supplement(branch_tree, decision_gaps: list[int], fields_dict: list = None) -> list[dict]:
|
||
"""针对未覆盖的决策点，增量生成补充测试数据。
|
||
|
||
Args:
|
||
branch_tree: extract_structure() 返回的 branch_tree 字段
|
||
decision_gaps: 未覆盖的决策点 ID 列表，如 [1, 3, 5]
|
||
fields_dict: 字段定义列表（DATA DIVISION 展开后），提供后生成含字段值的记录
|
||
|
||
Returns:
|
||
list[dict]: 增量测试数据，格式与 generate_data() 兼容
|
||
"""
|
||
from .models import BrIf, BrEval, BrSeq
|
||
|
||
target_decisions = set(decision_gaps)
|
||
found = []
|
||
|
||
def _find_decisions(node, counter):
|
||
if isinstance(node, BrIf):
|
||
counter[0] += 1
|
||
if counter[0] in target_decisions:
|
||
found.append(("IF", node.condition))
|
||
_find_decisions(node.true_seq, counter)
|
||
_find_decisions(node.false_seq, counter)
|
||
elif isinstance(node, BrEval):
|
||
counter[0] += 1
|
||
if counter[0] in target_decisions:
|
||
found.append(("EVALUATE", node.subject))
|
||
for _, seq in node.when_list:
|
||
_find_decisions(seq, counter)
|
||
_find_decisions(node.other_seq, counter)
|
||
elif isinstance(node, BrSeq):
|
||
for child in node.children:
|
||
_find_decisions(child, counter)
|
||
|
||
_find_decisions(branch_tree, [0])
|
||
|
||
supplements = []
|
||
for i, (kind, label) in enumerate(found):
|
||
rec = {}
|
||
if fields_dict:
|
||
rec = make_base_record(i + 1, fields_dict)
|
||
rec["_dec_id"] = f"incr_{i}"
|
||
rec["_kind"] = kind
|
||
rec["_label"] = str(label)[:60]
|
||
supplements.append(rec)
|
||
|
||
return supplements
|