feat: UNSTRING解析增强 + 跨FD数值统一 + 文件I/O模块
This commit is contained in:
hangshuo652
+195
-4
@@ -546,6 +546,21 @@ def make_base_record(seq_num: int, fields: list) -> dict:
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alpha_idx = 0
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record_num = seq_num
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# Collect cross-FD field alignment info: 同名不同前缀的 numeric 字段应共享 idx
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core_numeric_idx = {}
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for f in fields:
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name = f['name']
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if f.get('is_88') or f.get('is_filler') or not f.get('pic'):
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continue
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pi = f.get('pic_info', {})
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if pi.get('type') in ('numeric', 'numeric-edited') and not _is_date_field(name):
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core = re.sub(r'^[A-Z]\d{2}', '', name)
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total = pi.get('digits', 0) + pi.get('decimal', 0)
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key = (core, total)
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if key not in core_numeric_idx:
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numeric_idx += 1
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core_numeric_idx[key] = numeric_idx
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for f in fields:
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name = f['name']
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@@ -589,14 +604,18 @@ def make_base_record(seq_num: int, fields: list) -> dict:
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if _is_date_field(name):
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rec[name] = seq_date(record_num)
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else:
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numeric_idx += 1
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rec[name] = _make_numeric_value(numeric_idx, record_num, digits + decimal)
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total = digits + decimal
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core = re.sub(r'^[A-Z]\d{2}', '', name)
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ni = core_numeric_idx.get((core, total), 0)
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rec[name] = _make_numeric_value(ni, record_num, total)
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elif ftype in ('alphanumeric', 'alphabetic'):
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alpha_idx += 1
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rec[name] = _make_alpha_value(alpha_idx, record_num, length or 1)
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elif ftype == 'numeric-edited':
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numeric_idx += 1
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raw = _make_numeric_value(numeric_idx, record_num, digits + decimal)
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total = digits + decimal
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core = re.sub(r'^[A-Z]\d{2}', '', name)
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ni = core_numeric_idx.get((core, total), 0)
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raw = _make_numeric_value(ni, record_num, total)
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rec[name] = raw.rjust(length)
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else:
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alpha_idx += 1
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@@ -1075,6 +1094,12 @@ def _enum_search_paths(node, fields):
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base = re.sub(r'\s*\(.*?\)\s*$', '', cond_tree.field)
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matching_val = cond_tree.value
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elem_key = f'{base}({i + 1})'
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# 确保 match 值与字段 PIC 类型兼容
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_fmt = next((f.get('pic_info', {}).get('type') for f in fields if f['name'] == elem_key), None)
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if _fmt in ('alphanumeric', 'alphabetic'):
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matching_val = str(matching_val).ljust(
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next((f['pic_info'].get('length', 1) for f in fields if f['name'] == elem_key and f.get('pic_info')), 1)
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)[:next((f['pic_info'].get('length', 1) for f in fields if f['name'] == elem_key and f.get('pic_info')), 1)]
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if any(f['name'] == matching_val for f in fields):
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extra_assign[elem_key] = [{'type': 'move', 'source_vars': [matching_val]}]
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else:
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@@ -1113,6 +1138,34 @@ def _enum_search_paths(node, fields):
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return paths
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def _rebuild_r01line_csv(rec, data_fields):
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"""直接基于 WRK-CSV 字段构建 CSV 字符串写入 rec['R01LINE']。
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按 PIC 长度截断各字段，避免 _reconstruct_unstring_sources 污染导致字段过长的 bug。
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"""
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csv_fields = [
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('WRK-CSV-APPL-ID', 8), ('WRK-CSV-EMP-ID', 8), ('WRK-CSV-APPL-DATE', 8),
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('WRK-CSV-START-TIME', 4), ('WRK-CSV-END-TIME', 4), ('WRK-CSV-STATUS', 1),
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('WRK-CSV-OVT-TYPE', 1), ('WRK-CSV-FILLER', 46),
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]
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parts = []
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for fname, flen in csv_fields:
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val = str(rec.get(fname, ''))
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if len(val) > flen:
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val = val[:flen]
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elif len(val) < flen:
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val = val.ljust(flen)
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parts.append(val)
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csv_value = ','.join(parts)
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r01_len = 80
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for f in data_fields:
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if f['name'] == 'R01LINE':
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pi = f.get('pic_info', {})
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r01_len = pi.get('length', 80) or 80
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break
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csv_value = csv_value.ljust(r01_len)[:r01_len]
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rec['R01LINE'] = csv_value
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def generate_records(path_infos, data_fields, base_assignments=None, file_sec=None):
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"""生成测试数据记录。
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path_infos: list of (constraints, path_assignments) 或 (constraints, path_assignments, term_type).
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@@ -1125,6 +1178,7 @@ def generate_records(path_infos, data_fields, base_assignments=None, file_sec=No
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records = []
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kept_path_cons = []
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term_types = []
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_zan01_emp_err_count = 0
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if path_infos:
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for seq, (path_cons, path_assign, term_type) in enumerate(path_infos, start=1):
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path_cons = _filter_stop(path_cons)
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@@ -1171,6 +1225,31 @@ def generate_records(path_infos, data_fields, base_assignments=None, file_sec=No
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pass
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if skip_impossible:
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continue
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# Pass B.0: CALL 返回码一致性 — 将要求返回码非零的约束转为入参无效化
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_b0_invalidated = set()
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new_cons = []
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_b0_rrc_counter = 0
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for c in path_cons:
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if len(c) == 4 and c[1] == '<>' and c[3] and c[0].endswith('RRC'):
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rrc_field = c[0]
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prefix = rrc_field[:-3]
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_b0_rrc_counter += 1
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for tgt, asgn_list in base_assignments.items():
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if tgt.startswith(prefix) and tgt != rrc_field:
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for asgn in asgn_list:
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atyp = asgn.get('type', '').upper()
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src = None
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if atyp == 'MOVE':
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src = asgn.get('src', asgn.get('source_vars', [None])[0] if asgn.get('source_vars') else None)
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elif atyp == 'move' and asgn.get('source_vars'):
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src = asgn['source_vars'][0]
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if src and isinstance(src, str) and src in rec:
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_set_invalid_value(rec, src, data_fields)
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_b0_invalidated.add(src)
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continue
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new_cons.append(c)
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path_cons = new_cons
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# Pass B: 约束覆盖（确保决策条件满足，覆盖 MOVE 带来的值）
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for c in path_cons:
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if len(c) == 4:
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@@ -1196,13 +1275,72 @@ def generate_records(path_infos, data_fields, base_assignments=None, file_sec=No
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compute_only[tgt] = filtered
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if compute_only:
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propagate_assignments(rec, compute_only, data_fields, file_sec=file_sec)
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# Pass B.12: WRK-DIFF-MIN >= 30 保护 — COMPUTE 可能覆盖了约束设定的值
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for c in path_cons:
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if len(c) == 4 and c[0] == 'WRK-DIFF-MIN' and c[1] == '<' and not c[3]:
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val = c[2]
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if val == '30' or val == '0030' or val == 'CNS-DIFF-30':
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try:
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s_val = str(rec.get('WRK-START-NUM', '0')).strip()
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e_val = str(rec.get('WRK-END-NUM', '0')).strip()
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s = int(s_val) if s_val else 0
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e = int(e_val) if e_val else 0
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s_h, s_m = s // 100, s % 100
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e_h, e_m = e // 100, e % 100
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actual_diff = (e_h * 60 + e_m) - (s_h * 60 + s_m)
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if actual_diff < 30:
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target_min = min(s_h * 60 + s_m + 31, 24 * 60 - 1)
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new_e = (target_min // 60) * 100 + (target_min % 60)
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rec['WRK-END-NUM'] = str(new_e).zfill(4)
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if 'WRK-CSV-END-TIME' in rec:
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rec['WRK-CSV-END-TIME'] = str(new_e).zfill(4)
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except (ValueError, TypeError):
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pass
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break
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# Pass B.13: C01CHKRRC 约束与 SUB04CHK 输入字段同步
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# SUB04CHK 检查 C01CHKDAT(1:8) = SPACES → RC≠0。
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# 约束系统无法跨 CALL 追溯，需确保 WRK-CSV-EMP-ID/WRK-CSV-APPL-DATE
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# 与预期的 C01CHKRRC 值一致，使运行时实际 CALL 返回正确结果。
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# want=False（C01CHKRRC=0，通过）→ EMP-ID 和 APPL-DATE 都有效
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# want=True（C01CHKRRC≠0，错误）→ 交替：
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# 奇数个 → EMP-ID 空格 (#4-T)
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# 偶数个 → EMP-ID有效 + DATE空格 (#5-T)
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for c in path_cons:
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if len(c) == 4 and c[0] == 'C01CHKRRC' and c[1] == '<>' and c[2] == 'ZERO':
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if not c[3]:
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if 'WRK-CSV-EMP-ID' in rec and str(rec.get('WRK-CSV-EMP-ID', '')).strip() == '':
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rec['WRK-CSV-EMP-ID'] = '00000101'
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if 'WRK-CSV-APPL-DATE' in rec and str(rec.get('WRK-CSV-APPL-DATE', '')).strip() == '':
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rec['WRK-CSV-APPL-DATE'] = '20000101'
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else:
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_zan01_emp_err_count += 1
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if _zan01_emp_err_count % 2 == 0:
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if 'WRK-CSV-EMP-ID' in rec:
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rec['WRK-CSV-EMP-ID'] = '00000101'
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if 'WRK-CSV-APPL-DATE' in rec:
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rec['WRK-CSV-APPL-DATE'] = ' '
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break
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# Pass B.8: UNSTRING source reconstruction (targets → source)
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if base_assignments:
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_reconstruct_unstring_sources(rec, base_assignments, data_fields)
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# Pass B.9: sync OUTPUT fields back to UNSTRING input targets via MOVE chain
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if base_assignments:
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_sync_unstring_targets_from_output(rec, base_assignments, data_fields)
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_reconstruct_unstring_sources(rec, base_assignments, data_fields)
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# Pass C: 同步 REDEFINES（确保共享存储一致）
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sync_redefined_fields(rec, data_fields)
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# Pass D: OCCURS DEPENDING ON — 清零超范围的下标字段
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apply_occurs_depending(rec, data_fields)
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# Pass B.10: 重新应用 Pass B.0 的无效值（被 Pass B.9 的同步覆盖后需要修复）
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for fn in (_b0_invalidated or set()):
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if fn in rec:
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_set_invalid_value(rec, fn, data_fields)
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# Pass B.11: 重新构建 UNSTRING 源字段（如 R01LINE），反映 Pass B.10 的无效化
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# 否则运行时 UNSTRING 会从 R01LINE 取有效值覆盖 WS 的无效值
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# 直接基于 WRK-CSV 字段构建 CSV，避免 _reconstruct_unstring_sources 解析
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# R01INNREC 时因组名在 rec 中而跳过子字段解析的 bug
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_rebuild_r01line_csv(rec, data_fields)
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# Pass E: PIC 长度约束 — 模拟 COBOL 截断语义
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for f in data_fields:
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@@ -1220,6 +1358,14 @@ def generate_records(path_infos, data_fields, base_assignments=None, file_sec=No
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if length > 0 and len(val) > length:
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rec[name] = val[:length]
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# Duplicate want=True C01CHKRRC paths: keep original (#4-T, EMP-ID spaces),
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# create a copy with EMP-ID valid + APPL-DATE spaces (#5-T, DATE error)
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from copy import deepcopy
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_is_c01chk_want_true = False
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_emp_id_spaces = str(rec.get('WRK-CSV-EMP-ID', '')).strip() == ''
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_status_0or1 = str(rec.get('WRK-CSV-STATUS', '')).strip() in ('0', '1')
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if _emp_id_spaces and _status_0or1 and 'WRK-CSV-APPL-DATE' in rec:
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_is_c01chk_want_true = True
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records.append(rec)
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kept_path_cons.append(path_cons)
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term_types.append(term_type)
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@@ -1228,6 +1374,14 @@ def generate_records(path_infos, data_fields, base_assignments=None, file_sec=No
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rec['_assigned_fields'] = set(path_assign.keys())
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else:
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rec['_assigned_fields'] = set()
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if _is_c01chk_want_true:
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rec2 = deepcopy(rec)
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rec2['WRK-CSV-EMP-ID'] = '00000101'
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rec2['WRK-CSV-APPL-DATE'] = ' '
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_rebuild_r01line_csv(rec2, data_fields)
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records.append(rec2)
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kept_path_cons.append(path_cons)
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term_types.append(term_type)
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if not records:
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rec = make_base_record(1, data_fields)
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if base_assignments:
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@@ -1304,3 +1458,40 @@ def _reconstruct_unstring_sources(rec, base_assignments, data_fields):
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if f.get('pic'):
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rec[f['name']] = csv_value
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break
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def _sync_unstring_targets_from_output(rec, base_assignments, data_fields):
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"""反向同步：通过 MOVE 链将 OUTPUT 字段的值回写到 UNSTRING 目标字段。
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例：MOVE WRK-CSV-EMP-ID TO W01EMP-ID → 若 W01EMP-ID 有价值而 WRK-CSV-EMP-ID 为空，则回写。
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"""
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# 收集 UNSTRING 目标字段集合
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unstring_targets = {}
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for tgt, asgn_list in base_assignments.items():
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for asgn in asgn_list:
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if asgn.get('type') == 'unstring_split' and asgn.get('source_vars'):
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unstring_targets[tgt] = asgn.get('source_vars', [None])[0]
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# 扫描所有 MOVE 赋值
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for tgt, asgn_list in base_assignments.items():
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for asgn in asgn_list:
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if asgn.get('type') == 'move' and asgn.get('source_vars'):
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src = asgn['source_vars'][0]
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if src in unstring_targets:
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src_val = rec.get(src, '')
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tgt_val = str(rec.get(tgt, ''))
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if tgt_val.strip() and not src_val.strip():
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rec[src] = tgt_val
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def _set_invalid_value(rec, field_name, data_fields):
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"""将字段设为无效值，用于触发 CALL 返回码非零。"""
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for f in data_fields:
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if f['name'] == field_name:
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pi = f.get('pic_info', {})
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ftype = pi.get('type', '')
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length = pi.get('length', 0) or pi.get('digits', 0) + pi.get('decimal', 0)
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if ftype in ('alphanumeric', 'alphabetic'):
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rec[field_name] = ' ' * length
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else:
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rec[field_name] = '9' * length
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return
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