feat: 多轮运行 + GCOV 合并 + JSON 出力 + DesignDataGenerator

This commit is contained in:
hangshuo652
2026-07-12 21:04:58 +08:00
parent af37e33b98
commit f3be17e5eb
40 changed files with 4397 additions and 198 deletions
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"""式样书解析器 — 读取详细设计书 .md,提取 ProgramMeta 信息。
从外部 agentjcl-cobol-data-create)移植,适配 V3 接口。
"""
import re
from dataclasses import dataclass, field
from pathlib import Path
from typing import Optional
@dataclass
class FileInfo:
no: int = 0
file_db_name: str = ""
identifier: str = ""
dd_name: str = ""
io: str = ""
copy_group: str = ""
record_format: str = ""
record_len: int = 0
medium: str = ""
remarks: str = ""
@dataclass
class KeyInfo:
no: int = 0
file_name: str = ""
sort_condition: str = ""
key_condition: str = ""
@dataclass
class ModuleInfo:
no: int = 0
function: str = ""
program_id: str = ""
copy_name: str = ""
@dataclass
class CopyField:
level: int = 0
name: str = ""
raw_name: str = ""
pic_type: str = ""
pic_bytes: int = 0
@dataclass
class TableColumn:
no: int = 0
name_jp: str = ""
name_en: str = ""
type: str = ""
max_len: str = ""
decimal_digits: str = ""
byte_count: str = ""
nullable: bool = True
is_pk: bool = False
@dataclass
class TableInfo:
table_name: str = ""
db_id: str = ""
copy_id: str = ""
columns: list = field(default_factory=list)
pk_columns: list = field(default_factory=list)
@dataclass
class ProgramMeta:
program_id: str = ""
program_name: str = ""
system_name: str = ""
pgm_type: str = ""
pgm_pattern: str = ""
summary_lines: list = field(default_factory=list)
prerequisites: list = field(default_factory=list)
files: list = field(default_factory=list)
keys: list = field(default_factory=list)
modules: list = field(default_factory=list)
process_detail: str = ""
output_records: str = ""
input_type: str = "file"
copy_fields: dict = field(default_factory=dict)
db_tables: dict = field(default_factory=dict)
def _extract_section(text: str, section_name: str) -> str:
"""Extract a section by name from markdown text (case-insensitive)."""
lines = text.split("\n")
result = []
in_section = False
section_pattern = re.compile(
rf"^#+\s*{re.escape(section_name)}\s*$", re.IGNORECASE
)
next_section = re.compile(r"^#+\s", re.IGNORECASE)
for line in lines:
if section_pattern.match(line):
in_section = True
continue
if in_section and next_section.match(line):
break
if in_section:
result.append(line)
return "\n".join(result).strip()
def _parse_table_rows(text: str) -> list[dict]:
"""Parse a markdown table into list of dicts."""
lines = [l.strip() for l in text.split("\n") if l.strip()]
if not lines:
return []
header_line = None
sep_line = None
data_start = 0
for i, line in enumerate(lines):
if line.startswith("|") and not header_line:
header_line = line
elif line.startswith("|") and header_line and not sep_line:
if set(line.strip("|").replace("-", "").replace(" ", "").replace("|", "")) == set():
sep_line = line
data_start = i + 1
break
if not header_line:
return []
headers = [h.strip() for h in header_line.strip("|").split("|")]
rows = []
for line in lines[data_start:]:
if not line.startswith("|"):
continue
cells = [c.strip() for c in line.strip("|").split("|")]
row = {}
for i, h in enumerate(headers):
if i < len(cells):
row[h] = cells[i]
else:
row[h] = ""
rows.append(row)
return rows
class DesignDataInputParser:
"""解析式样书 .md,返回 ProgramMeta。"""
def __init__(self):
pass
def parse(self, design_md_text: str, source_text: str) -> ProgramMeta:
"""解析式样书文本和源码文本,返回 ProgramMeta。"""
meta = ProgramMeta()
self._design_text = design_md_text
self._source_text = source_text
self._parse_basic_info(meta)
self._parse_use_files(meta)
self._parse_keys(meta)
self._parse_modules(meta)
self._parse_process_detail(meta)
self._parse_output_records(meta)
self._determine_input_type(meta)
return meta
def _parse_basic_info(self, meta: ProgramMeta):
rows = _parse_table_rows(_extract_section(self._design_text, "基本情報"))
for row in rows:
item = row.get("項目", "")
value = row.get("内容", "")
if item == "システム名":
meta.system_name = value
elif item == "プログラムID":
meta.program_id = value
elif item == "プログラム名":
meta.program_name = value
elif item == "PGMタイプ":
meta.pgm_type = value
elif item == "PGMパターン":
meta.pgm_pattern = value
elif item == "機能概要":
meta.summary_lines.append(value)
def _parse_use_files(self, meta: ProgramMeta):
rows = _parse_table_rows(_extract_section(self._design_text, "使用ファイル一覧"))
for row in rows:
try:
no_str = row.get("NO", "0")
no = int(no_str) if no_str and no_str.strip() not in ("", "") else 0
rec_len_str = row.get("レコード長", "0")
rec_len = (
int(rec_len_str)
if rec_len_str and rec_len_str.strip() not in ("", "")
else 0
)
f = FileInfo(
no=no,
file_db_name=row.get("使用ファイル/DB名", ""),
identifier=row.get("識別子", ""),
dd_name=row.get("DD名", ""),
io=row.get("I/O", ""),
copy_group=row.get("COPY群", ""),
record_format=row.get("形式", ""),
record_len=rec_len,
medium=row.get("媒体", ""),
remarks=row.get("備考", ""),
)
meta.files.append(f)
except (ValueError, KeyError):
continue
def _parse_keys(self, meta: ProgramMeta):
rows = _parse_table_rows(_extract_section(self._design_text, "キー項目一覧"))
for row in rows:
try:
k = KeyInfo(
no=int(row.get("NO", "0")),
file_name=row.get("ファイル名", ""),
sort_condition=row.get("ソート条件(キー項目)", ""),
key_condition=row.get("キー条件(マッチング/キーブレイク)", ""),
)
meta.keys.append(k)
except (ValueError, KeyError):
continue
def _parse_modules(self, meta: ProgramMeta):
rows = _parse_table_rows(
_extract_section(self._design_text, "使用モジュール一覧")
)
for row in rows:
try:
m = ModuleInfo(
no=int(row.get("NO", "0")),
function=row.get("機能", ""),
program_id=row.get("プログラムID", ""),
copy_name=row.get("使用COPY名", ""),
)
meta.modules.append(m)
except (ValueError, KeyError):
continue
def _parse_process_detail(self, meta: ProgramMeta):
meta.process_detail = _extract_section(self._design_text, "処理詳細")
def _parse_output_records(self, meta: ProgramMeta):
meta.output_records = _extract_section(self._design_text, "出力レコード定義")
def _determine_input_type(self, meta: ProgramMeta):
input_mediums = set()
for f in meta.files:
if "I" in f.io:
input_mediums.add(f.medium)
if not input_mediums:
meta.input_type = "file"
elif input_mediums == {"PS"}:
meta.input_type = "file"
elif input_mediums == {"DB"}:
meta.input_type = "db"
else:
meta.input_type = "mixed"