feat: 添加自动化数据库迁移py脚本
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doc/tool/.gitignore
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doc/tool/.gitignore
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# Created by https://www.toptal.com/developers/gitignore/api/macos,visualstudiocode,python
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# Edit at https://www.toptal.com/developers/gitignore?templates=macos,visualstudiocode,python
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### macOS ###
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# General
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.DS_Store
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.AppleDouble
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.LSOverride
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# Icon must end with two \r
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Icon
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# Thumbnails
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._*
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# Files that might appear in the root of a volume
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.DocumentRevisions-V100
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.TemporaryItems
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.Trashes
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.VolumeIcon.icns
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.com.apple.timemachine.donotpresent
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# Directories potentially created on remote AFP share
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.AppleDB
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.AppleDesktop
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Network Trash Folder
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Temporary Items
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.apdisk
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### macOS Patch ###
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# iCloud generated files
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*.icloud
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### Python ###
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py,cover
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.hypothesis/
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.pytest_cache/
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cover/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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db.sqlite3-journal
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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.pybuilder/
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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|
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# pyenv
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# For a library or package, you might want to ignore these files since the code is
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# intended to run in multiple environments; otherwise, check them in:
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# .python-version
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# pipenv
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# install all needed dependencies.
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#Pipfile.lock
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# poetry
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# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
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# This is especially recommended for binary packages to ensure reproducibility, and is more
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# commonly ignored for libraries.
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# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
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#poetry.lock
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# pdm
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# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
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#pdm.lock
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# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
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# in version control.
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# https://pdm.fming.dev/#use-with-ide
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.pdm.toml
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
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__pypackages__/
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# Celery stuff
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celerybeat-schedule
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celerybeat.pid
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# SageMath parsed files
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*.sage.py
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# Environments
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ENV/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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# pytype static type analyzer
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.pytype/
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# Cython debug symbols
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cython_debug/
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# PyCharm
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# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
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# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
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# and can be added to the global gitignore or merged into this file. For a more nuclear
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# option (not recommended) you can uncomment the following to ignore the entire idea folder.
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#.idea/
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### Python Patch ###
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# Poetry local configuration file - https://python-poetry.org/docs/configuration/#local-configuration
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poetry.toml
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# ruff
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.ruff_cache/
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# LSP config files
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pyrightconfig.json
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### VisualStudioCode ###
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.vscode/*
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!.vscode/settings.json
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!.vscode/tasks.json
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!.vscode/launch.json
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!.vscode/extensions.json
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!.vscode/*.code-snippets
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# Local History for Visual Studio Code
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.history/
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# Built Visual Studio Code Extensions
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*.vsix
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### VisualStudioCode Patch ###
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# Ignore all local history of files
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.history
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.ionide
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# End of https://www.toptal.com/developers/gitignore/api/macos,visualstudiocode,python
|
652
doc/tool/dbsync.py
Executable file
652
doc/tool/dbsync.py
Executable file
@ -0,0 +1,652 @@
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# encoding=utf8
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"""SnailJob
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Author: dhb52
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pip install simple-ddl-parser
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"""
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import argparse
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import pathlib
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import re
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import time
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from abc import ABC, abstractmethod
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from typing import Dict, Generator, Optional, Tuple, Union
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from simple_ddl_parser import DDLParser
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PREAMBLE = """/*
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SnailJob Database Transfer Tool
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Source Server Type : MySQL
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Target Server Type : {db_type}
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Date: {date}
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*/
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"""
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def load_and_clean(sql_file: str) -> str:
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"""加载源 SQL 文件,并清理内容方便下一步 ddl 解析
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Args:
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sql_file (str): sql文件路径
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Returns:
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str: 清理后的sql文件内容
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"""
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REPLACE_PAIR_LIST = (
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(")\nVALUES ", ") VALUES "),
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(" CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci ", " "),
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(" KEY `", " INDEX `"),
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("UNIQUE INDEX", "UNIQUE KEY"),
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("b'0'", "'0'"),
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("b'1'", "'1'"),
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)
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content = open(sql_file, encoding="utf-8").read()
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for replace_pair in REPLACE_PAIR_LIST:
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content = content.replace(*replace_pair)
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content = re.sub(r"ENGINE.*COMMENT", "COMMENT", content)
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content = re.sub(r"ENGINE.*;", ";", content)
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return content
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class Convertor(ABC):
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def __init__(self, src: str, db_type) -> None:
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self.src = src
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self.db_type = db_type
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self.content = load_and_clean(self.src)
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self.table_script_list = re.findall(r"CREATE TABLE [^;]*;", self.content)
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@abstractmethod
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def translate_type(self, type: str, size: Optional[Union[int, Tuple[int]]]) -> str:
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"""字段类型转换
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Args:
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type (str): 字段类型
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size (Optional[Union[int, Tuple[int]]]): 字段长度描述, 如varchar(255), decimal(10,2)
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Returns:
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str: 类型定义
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"""
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pass
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@abstractmethod
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def gen_create(self, table_ddl: Dict) -> str:
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"""生成 create 脚本
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Args:
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table_ddl (Dict): 表DDL
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Returns:
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str: 生成脚本
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"""
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pass
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@abstractmethod
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def gen_pk(self, table_name: str) -> str:
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"""生成主键定义
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Args:
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table_name (str): 表名
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Returns:
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str: 生成脚本
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"""
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pass
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@abstractmethod
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def gen_index(self, ddl: Dict) -> str:
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"""生成索引定义
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Args:
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table_ddl (Dict): 表DDL
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Returns:
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str: 生成脚本
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"""
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pass
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@abstractmethod
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def gen_comment(self, table_ddl: Dict) -> str:
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"""生成字段/表注释
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Args:
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table_ddl (Dict): 表DDL
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Returns:
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str: 生成脚本
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"""
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pass
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@abstractmethod
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def gen_uk(self, table_ddl: Dict) -> str:
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"""生成
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Args:
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table_ddl (Dict): 表DDL
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Returns:
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str: 生成脚本
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"""
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@abstractmethod
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def gen_insert(self, table_name: str) -> str:
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"""生成 insert 语句块
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Args:
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table_name (str): 表名
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Returns:
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str: 生成脚本
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"""
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pass
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@staticmethod
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def inserts(table_name: str, script_content: str) -> Generator:
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PREFIX = f"INSERT INTO `{table_name}`"
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# 收集 `table_name` 对应的 insert 语句
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for line in script_content.split("\n"):
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if line.startswith(PREFIX):
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head, tail = line.replace(PREFIX, "").split(" VALUES ", maxsplit=1)
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head = head.strip().replace("`", "").lower()
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tail = tail.strip().replace(r"\"", '"')
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# tail = tail.replace("b'0'", "'0'").replace("b'1'", "'1'")
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yield f"INSERT INTO {table_name.lower()} {head} VALUES {tail}"
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@staticmethod
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def index(ddl: Dict) -> Generator:
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"""生成索引定义
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Args:
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ddl (Dict): 表DDL
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Yields:
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Generator[str]: create index 语句
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"""
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def generate_columns(columns):
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keys = [
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f"{col['name'].lower()}{' ' + col['order'].lower() if col['order'] != 'ASC' else ''}"
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for col in columns[0]
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]
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return ", ".join(keys)
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for no, index in enumerate(ddl["index"], 1):
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columns = generate_columns(index["columns"])
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table_name = ddl["table_name"].lower()
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yield f"CREATE INDEX idx_{table_name}_{no:02d} ON {table_name} ({columns})"
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@staticmethod
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def unique_index(ddl: Dict) -> Generator:
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if "constraints" in ddl and "uniques" in ddl["constraints"]:
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uk_list = ddl["constraints"]["uniques"]
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for uk in uk_list:
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table_name = ddl["table_name"]
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uk_name = uk["constraint_name"]
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uk_columns = uk["columns"]
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yield table_name, uk_name, uk_columns
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@staticmethod
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def filed_comments(table_sql: str) -> Generator:
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for line in table_sql.split("\n"):
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match = re.match(r"^`([^`]+)`.* COMMENT '([^']+)'", line.strip())
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if match:
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field = match.group(1)
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comment_string = match.group(2).replace("\\n", "\n")
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yield field, comment_string
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def table_comment(self, table_sql: str) -> str:
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match = re.search(r"COMMENT \='([^']+)';", table_sql)
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return match.group(1) if match else None
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def print(self):
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"""打印转换后的sql脚本到终端"""
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print(
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PREAMBLE.format(
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db_type=self.db_type,
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date=time.strftime("%Y-%m-%d %H:%M:%S"),
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)
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)
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error_scripts = []
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for table_sql in self.table_script_list:
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ddl = DDLParser(table_sql.replace("`", "")).run()
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# 如果parse失败, 需要跟进
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if len(ddl) == 0:
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error_scripts.append(table_sql)
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continue
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table_ddl = ddl[0]
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table_name = table_ddl["table_name"]
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# 解析注释
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for column in table_ddl["columns"]:
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column["comment"] = bytes(column["comment"], "utf-8").decode(
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"unicode_escape"
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)[1:-1]
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table_ddl["comment"] = bytes(table_ddl["comment"], "utf-8").decode(
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"unicode_escape"
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)[1:-1]
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# 为每个表生成个6个基本部分
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create = self.gen_create(table_ddl)
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pk = self.gen_pk(table_name)
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uk = self.gen_uk(table_ddl)
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index = self.gen_index(table_ddl)
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comment = self.gen_comment(table_ddl)
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inserts = self.gen_insert(table_name)
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# 组合当前表的DDL脚本
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script = f"""{create}
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{pk}
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{uk}
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{index}
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{comment}
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{inserts}
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"""
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# 清理
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script = re.sub("\n{3,}", "\n\n", script).strip() + "\n"
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print(script)
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# 将parse失败的脚本打印出来
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if error_scripts:
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for script in error_scripts:
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print(script)
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class PostgreSQLConvertor(Convertor):
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def __init__(self, src):
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super().__init__(src, "PostgreSQL")
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def translate_type(self, type: str, size: Optional[Union[int, Tuple[int]]]):
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"""类型转换"""
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type = type.lower()
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if type == "varchar":
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return f"varchar({size})"
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if type in ("int", "int unsigned"):
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return "int"
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if type in ("bigint", "bigint unsigned"):
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return "bigint"
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if type == "datetime":
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return "timestamp"
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if type == "timestamp":
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return f"timestamp({size})"
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if type == "bit":
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return "bool"
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if type in ("tinyint", "smallint"):
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return "smallint"
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||||
if type in ("text", "longtext"):
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return "text"
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if type in ("blob", "mediumblob"):
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return "bytea"
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if type == "decimal":
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return (
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f"numeric({','.join(str(s) for s in size)})" if len(size) else "numeric"
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)
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def gen_create(self, ddl: Dict) -> str:
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"""生成 create"""
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def _generate_column(col):
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name = col["name"].lower()
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if name == "id":
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return "id bigserial PRIMARY KEY"
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type = col["type"].lower()
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full_type = self.translate_type(type, col["size"])
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nullable = "NULL" if col["nullable"] else "NOT NULL"
|
||||
default = f"DEFAULT {col['default']}" if col["default"] is not None else ""
|
||||
return f"{name} {full_type} {nullable} {default}"
|
||||
|
||||
table_name = ddl["table_name"].lower()
|
||||
columns = [f"{_generate_column(col).strip()}" for col in ddl["columns"]]
|
||||
filed_def_list = ",\n ".join(columns)
|
||||
script = f"""-- {table_name}
|
||||
CREATE TABLE {table_name} (
|
||||
{filed_def_list}
|
||||
);"""
|
||||
|
||||
return script
|
||||
|
||||
def gen_index(self, ddl: Dict) -> str:
|
||||
return "\n".join(f"{script};" for script in self.index(ddl))
|
||||
|
||||
def gen_comment(self, table_ddl: Dict) -> str:
|
||||
"""生成字段及表的注释"""
|
||||
|
||||
script = ""
|
||||
for column in table_ddl["columns"]:
|
||||
table_comment = column["comment"]
|
||||
script += (
|
||||
f"COMMENT ON COLUMN {table_ddl['table_name']}.{column['name']} IS '{table_comment}';"
|
||||
+ "\n"
|
||||
)
|
||||
|
||||
table_comment = table_ddl["comment"]
|
||||
if table_comment:
|
||||
script += (
|
||||
f"COMMENT ON TABLE {table_ddl['table_name']} IS '{table_comment}';\n"
|
||||
)
|
||||
|
||||
return script
|
||||
|
||||
def gen_pk(self, table_name) -> str:
|
||||
"""生成主键定义"""
|
||||
return ""
|
||||
|
||||
def gen_uk(self, table_ddl: Dict) -> str:
|
||||
script = ""
|
||||
uk_list = list(Convertor.unique_index(table_ddl))
|
||||
for idx, (table_name, _, uk_columns) in enumerate(uk_list, 1):
|
||||
uk_name = f"uk_{table_name}_{idx:02d}"
|
||||
script += f"CREATE UNIQUE INDEX {uk_name} ON {table_name} ({', '.join(uk_columns)});\n"
|
||||
|
||||
return script
|
||||
|
||||
def gen_insert(self, table_name: str) -> str:
|
||||
"""生成 insert 语句,以及根据最后的 insert id+1 生成 Sequence"""
|
||||
|
||||
inserts = list(Convertor.inserts(table_name, self.content))
|
||||
## 生成 insert 脚本
|
||||
script = ""
|
||||
if inserts:
|
||||
inserts_lines = "\n".join(inserts)
|
||||
script += f"""\n
|
||||
{inserts_lines}"""
|
||||
|
||||
return script
|
||||
|
||||
|
||||
class OracleConvertor(Convertor):
|
||||
def __init__(self, src):
|
||||
super().__init__(src, "Oracle")
|
||||
|
||||
def translate_type(self, type: str, size: Optional[Union[int, Tuple[int]]]):
|
||||
"""类型转换"""
|
||||
type = type.lower()
|
||||
|
||||
if type == "varchar":
|
||||
return f"varchar2({size if size < 4000 else 4000})"
|
||||
if type in ("int", "int unsigned"):
|
||||
return "number"
|
||||
if type == "bigint" or type == "bigint unsigned":
|
||||
return "number"
|
||||
if type == "datetime":
|
||||
return "date"
|
||||
if type == "timestamp":
|
||||
return f"timestamp({size})"
|
||||
if type == "bit":
|
||||
return "number(1,0)"
|
||||
if type in ("tinyint", "smallint"):
|
||||
return "smallint"
|
||||
if type in ("text", "longtext"):
|
||||
return "clob"
|
||||
if type in ("blob", "mediumblob"):
|
||||
return "blob"
|
||||
if type == "decimal":
|
||||
return (
|
||||
f"number({','.join(str(s) for s in size)})" if len(size) else "number"
|
||||
)
|
||||
|
||||
def gen_create(self, ddl) -> str:
|
||||
"""生成 CREATE 语句"""
|
||||
|
||||
def generate_column(col):
|
||||
name = col["name"].lower()
|
||||
if name == "id":
|
||||
return "id number GENERATED ALWAYS AS IDENTITY"
|
||||
|
||||
type = col["type"].lower()
|
||||
full_type = self.translate_type(type, col["size"])
|
||||
nullable = "NULL" if col["nullable"] else "NOT NULL"
|
||||
default = f"DEFAULT {col['default']}" if col["default"] is not None else ""
|
||||
# Oracle 中 size 不能作为字段名
|
||||
field_name = '"size"' if name == "size" else name
|
||||
# Oracle DEFAULT 定义在 NULLABLE 之前
|
||||
return f"{field_name} {full_type} {default} {nullable}"
|
||||
|
||||
table_name = ddl["table_name"].lower()
|
||||
columns = [f"{generate_column(col).strip()}" for col in ddl["columns"]]
|
||||
field_def_list = ",\n ".join(columns)
|
||||
script = f"""-- {table_name}
|
||||
CREATE TABLE {table_name} (
|
||||
{field_def_list}
|
||||
);"""
|
||||
|
||||
# oracle INSERT '' 不能通过 NOT NULL 校验
|
||||
script = script.replace("DEFAULT '' NOT NULL", "DEFAULT '' NULL")
|
||||
|
||||
return script
|
||||
|
||||
def gen_index(self, ddl: Dict) -> str:
|
||||
return "\n".join(f"{script};" for script in self.index(ddl))
|
||||
|
||||
def gen_comment(self, table_ddl: Dict) -> str:
|
||||
script = ""
|
||||
for column in table_ddl["columns"]:
|
||||
table_comment = column["comment"]
|
||||
script += (
|
||||
f"COMMENT ON COLUMN {table_ddl['table_name']}.{column['name']} IS '{table_comment}';"
|
||||
+ "\n"
|
||||
)
|
||||
|
||||
table_comment = table_ddl["comment"]
|
||||
if table_comment:
|
||||
script += (
|
||||
f"COMMENT ON TABLE {table_ddl['table_name']} IS '{table_comment}';\n"
|
||||
)
|
||||
|
||||
return script
|
||||
|
||||
def gen_pk(self, table_name: str) -> str:
|
||||
"""生成主键定义"""
|
||||
return f"ALTER TABLE {table_name} ADD CONSTRAINT pk_{table_name} PRIMARY KEY (id);\n"
|
||||
|
||||
def gen_uk(self, table_ddl: Dict) -> str:
|
||||
script = ""
|
||||
uk_list = list(Convertor.unique_index(table_ddl))
|
||||
for idx, (table_name, _, uk_columns) in enumerate(uk_list, 1):
|
||||
uk_name = f"uk_{table_name}_{idx:02d}"
|
||||
script += f"CREATE UNIQUE INDEX {uk_name} ON {table_name} ({', '.join(uk_columns)});\n"
|
||||
|
||||
return script
|
||||
|
||||
def gen_index(self, ddl: Dict) -> str:
|
||||
return "\n".join(f"{script};" for script in self.index(ddl))
|
||||
|
||||
def gen_insert(self, table_name: str) -> str:
|
||||
"""拷贝 INSERT 语句"""
|
||||
inserts = []
|
||||
for insert_script in Convertor.inserts(table_name, self.content):
|
||||
insert_script = (
|
||||
insert_script.replace("(id,", "(")
|
||||
.replace("VALUES (1,", "VALUES (")
|
||||
.replace("now(),", "sysdate,")
|
||||
)
|
||||
inserts.append(insert_script)
|
||||
|
||||
## 生成 insert 脚本
|
||||
script = ""
|
||||
if inserts:
|
||||
inserts_lines = "\n".join(inserts)
|
||||
script += f"""\n\n
|
||||
{inserts_lines}"""
|
||||
|
||||
return script
|
||||
|
||||
|
||||
class SQLServerConvertor(Convertor):
|
||||
"""_summary_
|
||||
|
||||
Args:
|
||||
Convertor (_type_): _description_
|
||||
"""
|
||||
|
||||
def __init__(self, src):
|
||||
super().__init__(src, "Microsoft SQL Server")
|
||||
|
||||
def translate_type(self, type: str, size: Optional[Union[int, Tuple[int]]]):
|
||||
"""类型转换"""
|
||||
|
||||
type = type.lower()
|
||||
|
||||
if type == "varchar":
|
||||
return f"nvarchar({size if size < 4000 else 4000})"
|
||||
if type in ("int", "int unsigned"):
|
||||
return "int"
|
||||
if type in ("bigint", "bigint unsigned"):
|
||||
return "bigint"
|
||||
if type in ("datetime", "timestamp"):
|
||||
return "datetime2"
|
||||
if type == "bit":
|
||||
return "varchar(1)"
|
||||
if type in ("tinyint", "smallint"):
|
||||
return "tinyint"
|
||||
if type in ("text", "longtext"):
|
||||
return "nvarchar(max)"
|
||||
if type in ("blob", "mediumblob"):
|
||||
return "varbinary(max)"
|
||||
if type == "decimal":
|
||||
return (
|
||||
f"numeric({','.join(str(s) for s in size)})" if len(size) else "numeric"
|
||||
)
|
||||
|
||||
def gen_create(self, ddl: Dict) -> str:
|
||||
"""生成 create"""
|
||||
|
||||
def _generate_column(col):
|
||||
name = col["name"].lower()
|
||||
if name == "id":
|
||||
return "id bigint NOT NULL PRIMARY KEY IDENTITY"
|
||||
|
||||
type = col["type"].lower()
|
||||
full_type = self.translate_type(type, col["size"])
|
||||
nullable = "NULL" if col["nullable"] else "NOT NULL"
|
||||
default = f"DEFAULT {col["default"]}" if col["default"] is not None else ""
|
||||
default = re.sub(r"CURRENT_TIMESTAMP\(\d+\)", "CURRENT_TIMESTAMP", default)
|
||||
return f"{name} {full_type} {nullable} {default}"
|
||||
|
||||
table_name = ddl["table_name"].lower()
|
||||
columns = [f"{_generate_column(col).strip()}" for col in ddl["columns"]]
|
||||
filed_def_list = ",\n ".join(columns)
|
||||
script = f"""-- {table_name}
|
||||
CREATE TABLE {table_name} (
|
||||
{filed_def_list}
|
||||
)
|
||||
GO"""
|
||||
|
||||
return script
|
||||
|
||||
def gen_comment(self, table_ddl: Dict) -> str:
|
||||
"""生成字段及表的注释"""
|
||||
|
||||
script = ""
|
||||
table_name = table_ddl["table_name"]
|
||||
|
||||
for column in table_ddl["columns"]:
|
||||
column_comment = column["comment"]
|
||||
field = column["name"]
|
||||
|
||||
script += f"""EXEC sp_addextendedproperty
|
||||
'MS_Description', N'{column_comment}',
|
||||
'SCHEMA', N'dbo',
|
||||
'TABLE', N'{table_name}',
|
||||
'COLUMN', N'{field}'
|
||||
GO
|
||||
|
||||
"""
|
||||
|
||||
table_comment = table_ddl["comment"]
|
||||
if table_comment:
|
||||
script += f"""EXEC sp_addextendedproperty
|
||||
'MS_Description', N'{table_comment}',
|
||||
'SCHEMA', N'dbo',
|
||||
'TABLE', N'{table_name}'
|
||||
GO
|
||||
|
||||
"""
|
||||
return script
|
||||
|
||||
def gen_pk(self, table_name: str) -> str:
|
||||
"""生成主键定义"""
|
||||
return ""
|
||||
|
||||
def gen_uk(self, table_ddl: Dict) -> str:
|
||||
script = ""
|
||||
uk_list = list(Convertor.unique_index(table_ddl))
|
||||
for idx, (table_name, _, uk_columns) in enumerate(uk_list, 1):
|
||||
uk_name = f"uk_{table_name}_{idx:02d}"
|
||||
script += f"CREATE UNIQUE INDEX {uk_name} ON {table_name} ({', '.join(uk_columns)})\nGO"
|
||||
|
||||
return script
|
||||
|
||||
def gen_index(self, ddl: Dict) -> str:
|
||||
"""生成 index"""
|
||||
return "\n".join(f"{script}\nGO" for script in self.index(ddl))
|
||||
|
||||
def gen_insert(self, table_name: str) -> str:
|
||||
"""生成 insert 语句"""
|
||||
|
||||
# 收集 `table_name` 对应的 insert 语句
|
||||
inserts = []
|
||||
for insert_script in Convertor.inserts(table_name, self.content):
|
||||
# SQLServer: 字符串前加N,hack,是否存在替换字符串内容的风险
|
||||
insert_script = (
|
||||
insert_script.replace(", '", ", N'")
|
||||
.replace("VALUES ('", "VALUES (N')")
|
||||
.replace("(id, ", "(")
|
||||
.replace("VALUES (1, ", "VALUES (")
|
||||
.replace("now(), ", "getdate(), ")
|
||||
)
|
||||
# 删除 insert 的结尾分号
|
||||
insert_script = re.sub(";$", r"\nGO", insert_script)
|
||||
inserts.append(insert_script)
|
||||
|
||||
## 生成 insert 脚本
|
||||
script = ""
|
||||
if inserts:
|
||||
inserts_lines = "\n".join(inserts)
|
||||
script += f"""\n\n
|
||||
{inserts_lines}"""
|
||||
|
||||
return script
|
||||
|
||||
|
||||
def main():
|
||||
parser = argparse.ArgumentParser(description="Snail Job Database Transfer Tool")
|
||||
parser.add_argument(
|
||||
"type",
|
||||
type=str,
|
||||
help="Target database type",
|
||||
choices=["postgre", "oracle", "sqlserver"],
|
||||
)
|
||||
args = parser.parse_args()
|
||||
|
||||
sql_file = pathlib.Path("../sql/snail_job_mysql.sql").resolve().as_posix()
|
||||
convertor = None
|
||||
if args.type == "postgre":
|
||||
convertor = PostgreSQLConvertor(sql_file)
|
||||
elif args.type == "oracle":
|
||||
convertor = OracleConvertor(sql_file)
|
||||
elif args.type == "sqlserver":
|
||||
convertor = SQLServerConvertor(sql_file)
|
||||
else:
|
||||
raise NotImplementedError(f"Database type not supported: {args.type}")
|
||||
|
||||
convertor.print()
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
Loading…
Reference in New Issue
Block a user