536 lines
20 KiB
Python
536 lines
20 KiB
Python
from argparse import ArgumentParser, Namespace
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from collections.abc import Iterable
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from datetime import datetime
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from pathlib import Path
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from sys import path as sys_path
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from typing import Any, Optional
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import json
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import sqlite3
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from sqlalchemy import text
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from sqlmodel import Session, SQLModel, create_engine, delete
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ROOT_PATH = Path(__file__).resolve().parent.parent
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if str(ROOT_PATH) not in sys_path:
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sys_path.insert(0, str(ROOT_PATH))
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from src.common.database.database_model import Expression, Jargon, ModifiedBy
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def build_argument_parser() -> ArgumentParser:
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"""构建命令行参数解析器。"""
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parser = ArgumentParser(
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description="将旧版 expression/jargon 数据迁移到新版 expressions/jargons 数据库。"
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)
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parser.add_argument("--source-db", dest="source_db", help="旧版 SQLite 数据库路径")
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parser.add_argument("--target-db", dest="target_db", help="新版 SQLite 数据库路径")
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parser.add_argument(
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"--clear-target",
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dest="clear_target",
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action="store_true",
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help="迁移前清空目标库中的 expressions 和 jargons 表",
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)
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return parser
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def prompt_path(prompt_text: str, current_value: Optional[str] = None) -> Path:
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"""读取数据库路径输入。"""
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while True:
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suffix = f" [{current_value}]" if current_value else ""
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raw_text = input(f"{prompt_text}{suffix}: ").strip()
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value = raw_text or current_value or ""
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if not value:
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print("路径不能为空，请重新输入。")
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continue
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return Path(value).expanduser().resolve()
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def prompt_yes_no(prompt_text: str, default: bool = False) -> bool:
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"""读取是否确认输入。"""
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default_hint = "Y/n" if default else "y/N"
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raw_text = input(f"{prompt_text} [{default_hint}]: ").strip().lower()
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if not raw_text:
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return default
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return raw_text in {"y", "yes"}
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def ensure_sqlite_file(path: Path, should_exist: bool) -> None:
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"""校验 SQLite 文件路径。"""
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if should_exist and not path.is_file():
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raise FileNotFoundError(f"数据库文件不存在：{path}")
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if not should_exist:
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path.parent.mkdir(parents=True, exist_ok=True)
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def connect_sqlite(path: Path) -> sqlite3.Connection:
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"""创建 SQLite 连接。"""
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connection = sqlite3.connect(path)
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connection.row_factory = sqlite3.Row
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return connection
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def table_exists(connection: sqlite3.Connection, table_name: str) -> bool:
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"""检查表是否存在。"""
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result = connection.execute(
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"SELECT 1 FROM sqlite_master WHERE type = 'table' AND name = ? LIMIT 1",
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(table_name,),
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).fetchone()
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return result is not None
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def resolve_source_table_name(connection: sqlite3.Connection, candidates: list[str]) -> str:
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"""从候选表名中解析实际存在的表名。"""
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for table_name in candidates:
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if table_exists(connection, table_name):
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return table_name
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raise ValueError(f"未找到候选表：{', '.join(candidates)}")
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def get_table_columns(connection: sqlite3.Connection, table_name: str) -> set[str]:
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"""获取表字段名集合。"""
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rows = connection.execute(f"PRAGMA table_info('{table_name}')").fetchall()
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return {str(row["name"]) for row in rows}
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def get_table_nullable_map(connection: sqlite3.Connection, table_name: str) -> dict[str, bool]:
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"""获取表字段是否允许 NULL 的映射。"""
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rows = connection.execute(f"PRAGMA table_info('{table_name}')").fetchall()
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return {str(row["name"]): not bool(row["notnull"]) for row in rows}
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def load_rows(connection: sqlite3.Connection, table_name: str) -> list[sqlite3.Row]:
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"""读取整张表的数据。"""
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return connection.execute(f"SELECT * FROM {table_name}").fetchall()
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def normalize_optional_text(raw_value: Any) -> Optional[str]:
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"""标准化可空文本字段。"""
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if raw_value is None:
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return None
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return str(raw_value)
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def ensure_nullable_compatibility(
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table_name: str,
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column_name: str,
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row_id: Any,
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value: Any,
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nullable_map: dict[str, bool],
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) -> None:
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"""检查待迁移值是否与目标表可空约束兼容。"""
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if value is None and not nullable_map.get(column_name, True):
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raise ValueError(
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f"目标表 {table_name}.{column_name} 不允许 NULL，但源记录 id={row_id} 的该字段为 NULL。"
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)
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def normalize_string_list(raw_value: Any) -> list[str]:
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"""将旧库中的 JSON/文本字段标准化为字符串列表。"""
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if raw_value is None:
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return []
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if isinstance(raw_value, list):
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return [str(item).strip() for item in raw_value if str(item).strip()]
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if isinstance(raw_value, str):
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raw_text = raw_value.strip()
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if not raw_text:
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return []
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try:
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parsed = json.loads(raw_text)
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except json.JSONDecodeError:
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return [raw_text]
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if isinstance(parsed, list):
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return [str(item).strip() for item in parsed if str(item).strip()]
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if isinstance(parsed, str):
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parsed_text = parsed.strip()
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return [parsed_text] if parsed_text else []
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if parsed is None:
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return []
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return [str(parsed).strip()]
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return [str(raw_value).strip()]
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def normalize_modified_by(raw_value: Any) -> Optional[ModifiedBy]:
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"""标准化审核来源字段。"""
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if raw_value is None:
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return None
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normalized_raw_value = raw_value
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if isinstance(raw_value, str):
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raw_text = raw_value.strip()
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if raw_text.startswith('"') and raw_text.endswith('"'):
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try:
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normalized_raw_value = json.loads(raw_text)
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except json.JSONDecodeError:
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normalized_raw_value = raw_text
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else:
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normalized_raw_value = raw_text
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value = str(normalized_raw_value).strip().lower()
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if value in {"", "none", "null"}:
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return None
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if value in {ModifiedBy.AI.value, ModifiedBy.AI.name.lower()}:
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return ModifiedBy.AI
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if value in {ModifiedBy.USER.value, ModifiedBy.USER.name.lower()}:
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return ModifiedBy.USER
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return None
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def parse_optional_bool(raw_value: Any) -> Optional[bool]:
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"""解析可空布尔值，兼容整数和字符串。"""
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if raw_value is None:
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return None
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if isinstance(raw_value, bool):
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return raw_value
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if isinstance(raw_value, int):
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return bool(raw_value)
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if isinstance(raw_value, float):
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return bool(int(raw_value))
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value = str(raw_value).strip().lower()
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if value in {"", "none", "null"}:
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return None
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if value in {"1", "true", "t", "yes", "y"}:
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return True
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if value in {"0", "false", "f", "no", "n"}:
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return False
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raise ValueError(f"无法解析布尔值：{raw_value}")
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def parse_bool(raw_value: Any, default: bool = False) -> bool:
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"""解析非空布尔值。"""
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parsed = parse_optional_bool(raw_value)
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return default if parsed is None else parsed
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def timestamp_to_datetime(raw_value: Any, fallback_now: bool) -> Optional[datetime]:
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"""将旧库中的 Unix 时间戳转换为 datetime。"""
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if raw_value is None or raw_value == "":
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return datetime.now() if fallback_now else None
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if isinstance(raw_value, datetime):
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return raw_value
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try:
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return datetime.fromtimestamp(float(raw_value))
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except (TypeError, ValueError, OSError, OverflowError):
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return datetime.now() if fallback_now else None
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def build_session_id_dict(raw_chat_id: Any, fallback_count: int) -> str:
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"""将旧版 jargon.chat_id 转换为新版 session_id_dict。"""
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if raw_chat_id is None:
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return json.dumps({}, ensure_ascii=False)
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if isinstance(raw_chat_id, str):
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raw_text = raw_chat_id.strip()
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else:
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raw_text = str(raw_chat_id).strip()
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if not raw_text:
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return json.dumps({}, ensure_ascii=False)
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try:
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parsed = json.loads(raw_text)
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except json.JSONDecodeError:
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return json.dumps({raw_text: max(fallback_count, 1)}, ensure_ascii=False)
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if isinstance(parsed, str):
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parsed_text = parsed.strip()
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session_counts = {parsed_text: max(fallback_count, 1)} if parsed_text else {}
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return json.dumps(session_counts, ensure_ascii=False)
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if not isinstance(parsed, list):
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return json.dumps({}, ensure_ascii=False)
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session_counts: dict[str, int] = {}
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for item in parsed:
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if not isinstance(item, list) or not item:
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continue
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session_id = str(item[0]).strip()
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if not session_id:
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continue
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item_count = 1
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if len(item) > 1:
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try:
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item_count = int(item[1])
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except (TypeError, ValueError):
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item_count = 1
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session_counts[session_id] = max(item_count, 1)
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return json.dumps(session_counts, ensure_ascii=False)
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def create_target_engine(target_db_path: Path):
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"""创建目标数据库引擎。"""
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return create_engine(
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f"sqlite:///{target_db_path.as_posix()}",
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echo=False,
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connect_args={"check_same_thread": False},
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)
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def clear_target_tables(session: Session) -> None:
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"""清空目标表。"""
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session.exec(delete(Expression))
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session.exec(delete(Jargon))
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def migrate_expressions(
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old_rows: Iterable[sqlite3.Row],
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target_session: Session,
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expression_columns: set[str],
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) -> int:
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"""迁移 expression 数据。"""
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migrated_count = 0
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modified_by_ai_count = 0
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modified_by_user_count = 0
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modified_by_null_count = 0
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unknown_modified_by_values: dict[str, int] = {}
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for row in old_rows:
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create_time = timestamp_to_datetime(row["create_date"] if "create_date" in expression_columns else None, True)
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last_active_time = timestamp_to_datetime(
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row["last_active_time"] if "last_active_time" in expression_columns else None,
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True,
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)
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content_list = normalize_string_list(row["content_list"] if "content_list" in expression_columns else None)
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raw_modified_by = row["modified_by"] if "modified_by" in expression_columns else None
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modified_by = normalize_modified_by(raw_modified_by)
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if modified_by == ModifiedBy.AI:
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modified_by_ai_count += 1
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elif modified_by == ModifiedBy.USER:
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modified_by_user_count += 1
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else:
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modified_by_null_count += 1
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if raw_modified_by not in (None, "", "null", "NULL", "None"):
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unknown_key = str(raw_modified_by)
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unknown_modified_by_values[unknown_key] = unknown_modified_by_values.get(unknown_key, 0) + 1
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target_session.execute(
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text(
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"""
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INSERT INTO expressions (
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id,
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situation,
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style,
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content_list,
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count,
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last_active_time,
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create_time,
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session_id,
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checked,
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rejected,
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modified_by
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) VALUES (
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:id,
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:situation,
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:style,
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:content_list,
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:count,
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:last_active_time,
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:create_time,
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:session_id,
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:checked,
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:rejected,
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:modified_by
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)
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"""
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),
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{
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"id": int(row["id"]) if row["id"] is not None else None,
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"situation": str(row["situation"]).strip(),
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"style": str(row["style"]).strip(),
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"content_list": json.dumps(content_list, ensure_ascii=False),
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"count": int(row["count"]) if "count" in expression_columns and row["count"] is not None else 1,
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"last_active_time": last_active_time or datetime.now(),
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"create_time": create_time or datetime.now(),
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"session_id": str(row["chat_id"]).strip() if "chat_id" in expression_columns and row["chat_id"] else None,
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"checked": parse_bool(row["checked"] if "checked" in expression_columns else None, default=False),
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"rejected": parse_bool(row["rejected"] if "rejected" in expression_columns else None, default=False),
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"modified_by": modified_by.name if modified_by is not None else None,
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},
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)
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migrated_count += 1
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print(
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"Expression modified_by 迁移统计："
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f" AI={modified_by_ai_count}, USER={modified_by_user_count}, NULL={modified_by_null_count}"
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)
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if unknown_modified_by_values:
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preview_items = list(unknown_modified_by_values.items())[:10]
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preview_text = ", ".join(f"{value!r} x{count}" for value, count in preview_items)
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print(f"警告：以下旧 modified_by 值未识别，已按 NULL 迁移：{preview_text}")
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return migrated_count
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def migrate_jargons(
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old_rows: Iterable[sqlite3.Row],
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target_session: Session,
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jargon_columns: set[str],
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jargon_nullable_map: dict[str, bool],
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) -> int:
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"""迁移 jargon 数据。"""
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migrated_count = 0
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coerced_meaning_null_count = 0
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for row in old_rows:
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count = int(row["count"]) if "count" in jargon_columns and row["count"] is not None else 0
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raw_content_value = row["raw_content"] if "raw_content" in jargon_columns else None
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raw_content_list = normalize_string_list(raw_content_value)
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meaning_value = normalize_optional_text(row["meaning"] if "meaning" in jargon_columns else None)
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is_jargon_value = parse_optional_bool(row["is_jargon"] if "is_jargon" in jargon_columns else None)
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inference_content_key = (
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"inference_content_only"
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if "inference_content_only" in jargon_columns
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else "inference_with_content_only"
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if "inference_with_content_only" in jargon_columns
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else None
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)
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ensure_nullable_compatibility("jargons", "is_jargon", row["id"], is_jargon_value, jargon_nullable_map)
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if meaning_value is None and not jargon_nullable_map.get("meaning", True):
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meaning_value = ""
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coerced_meaning_null_count += 1
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# 显式执行 SQL，避免 ORM 在 None 场景下回填模型默认值。
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target_session.execute(
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text(
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"""
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INSERT INTO jargons (
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id,
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content,
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raw_content,
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meaning,
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session_id_dict,
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count,
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is_jargon,
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is_complete,
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is_global,
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last_inference_count,
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inference_with_context,
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inference_with_content_only
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) VALUES (
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:id,
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:content,
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:raw_content,
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:meaning,
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:session_id_dict,
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:count,
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:is_jargon,
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:is_complete,
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:is_global,
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:last_inference_count,
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:inference_with_context,
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:inference_with_content_only
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)
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"""
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),
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{
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"id": int(row["id"]) if row["id"] is not None else None,
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"content": str(row["content"]).strip(),
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"raw_content": json.dumps(raw_content_list, ensure_ascii=False) if raw_content_value is not None else None,
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"meaning": meaning_value,
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"session_id_dict": build_session_id_dict(
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row["chat_id"] if "chat_id" in jargon_columns else None,
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fallback_count=count,
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),
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"count": count,
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"is_jargon": is_jargon_value,
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"is_complete": parse_bool(row["is_complete"] if "is_complete" in jargon_columns else None, default=False),
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"is_global": parse_bool(row["is_global"] if "is_global" in jargon_columns else None, default=False),
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"last_inference_count": (
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int(row["last_inference_count"])
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if "last_inference_count" in jargon_columns and row["last_inference_count"] is not None
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else 0
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),
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"inference_with_context": (
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str(row["inference_with_context"])
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if "inference_with_context" in jargon_columns and row["inference_with_context"] is not None
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else None
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),
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"inference_with_content_only": (
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str(row[inference_content_key])
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if inference_content_key and row[inference_content_key] is not None
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else None
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),
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},
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)
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migrated_count += 1
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if coerced_meaning_null_count > 0:
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print(
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f"警告：目标表 jargons.meaning 不允许 NULL，已将 {coerced_meaning_null_count} 条旧记录的 NULL meaning 转为空字符串。"
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)
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return migrated_count
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def confirm_target_replacement(target_db_path: Path, clear_target: bool) -> bool:
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"""确认是否写入目标数据库。"""
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if clear_target:
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return prompt_yes_no(f"将清空目标库中的 expressions/jargons 后再迁移，确认继续吗？\n目标库：{target_db_path}")
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return prompt_yes_no(f"将写入目标库，若主键冲突会导致迁移失败，确认继续吗？\n目标库：{target_db_path}")
|
||
|
||
|
||
def parse_arguments() -> Namespace:
|
||
"""解析参数。"""
|
||
return build_argument_parser().parse_args()
|
||
|
||
|
||
def main() -> None:
|
||
"""脚本入口。"""
|
||
args = parse_arguments()
|
||
|
||
print("旧版 expression/jargon -> 新版 expressions/jargons 迁移工具")
|
||
source_db_path = prompt_path("请输入旧版数据库路径", args.source_db)
|
||
target_db_path = prompt_path("请输入新版数据库路径", args.target_db)
|
||
clear_target = args.clear_target or prompt_yes_no("迁移前是否清空目标库中的 expressions 和 jargons 表？", False)
|
||
|
||
if source_db_path == target_db_path:
|
||
raise ValueError("旧版数据库路径和新版数据库路径不能相同。")
|
||
|
||
ensure_sqlite_file(source_db_path, should_exist=True)
|
||
ensure_sqlite_file(target_db_path, should_exist=False)
|
||
|
||
print(f"旧库：{source_db_path}")
|
||
print(f"新库：{target_db_path}")
|
||
print(f"清空目标表：{'是' if clear_target else '否'}")
|
||
|
||
if not confirm_target_replacement(target_db_path, clear_target):
|
||
print("已取消迁移。")
|
||
return
|
||
|
||
source_connection = connect_sqlite(source_db_path)
|
||
try:
|
||
expression_table_name = resolve_source_table_name(source_connection, ["expression", "expressions"])
|
||
jargon_table_name = resolve_source_table_name(source_connection, ["jargon", "jargons"])
|
||
expression_columns = get_table_columns(source_connection, expression_table_name)
|
||
jargon_columns = get_table_columns(source_connection, jargon_table_name)
|
||
expression_rows = load_rows(source_connection, expression_table_name)
|
||
jargon_rows = load_rows(source_connection, jargon_table_name)
|
||
finally:
|
||
source_connection.close()
|
||
|
||
target_engine = create_target_engine(target_db_path)
|
||
SQLModel.metadata.create_all(target_engine)
|
||
|
||
target_sqlite_connection = connect_sqlite(target_db_path)
|
||
try:
|
||
jargon_nullable_map = get_table_nullable_map(target_sqlite_connection, "jargons")
|
||
finally:
|
||
target_sqlite_connection.close()
|
||
|
||
with Session(target_engine) as target_session:
|
||
if clear_target:
|
||
clear_target_tables(target_session)
|
||
target_session.commit()
|
||
|
||
expression_count = migrate_expressions(expression_rows, target_session, expression_columns)
|
||
jargon_count = migrate_jargons(jargon_rows, target_session, jargon_columns, jargon_nullable_map)
|
||
target_session.commit()
|
||
|
||
print("迁移完成。")
|
||
print(f"已迁移 expression 记录：{expression_count}")
|
||
print(f"已迁移 jargon 记录：{jargon_count}")
|
||
|
||
|
||
if __name__ == "__main__":
|
||
main()
|