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Convert pydal define_tables to SQL using pydal's CREATE TABLE logic.

Project description

pydal2sql

PyPI - Version PyPI - Python Version
Code style: black License: MIT
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pydal2sql is a command line interface (CLI) tool that translates pydal define_table Table definitions into SQL statements. It supports different SQL dialects including SQLite, Postgres and MySQL. The tool generates both CREATE TABLE and ALTER TABLE SQL statements. It does this using pydal's own logic.

Note: this package is only a Typer-based CLI front-end. The actual logic lives at robinvandernoord/pydal2sql-core!

Table of Contents

Installation

pip install pydal2sql
# or
pipx install pydal2sql

Basic Usage

CREATE

The following commands are supported:

  • pydal2sql create [file-name]: Translate the file into SQL statements.
  • pydal2sql create [file-name]@[git-branch-or-commit-hash]: Translate a specific version of the file into SQL statements.
  • pydal2sql create [file-name]@latest: Translate the latest version of the file in git into SQL statements.
  • pydal2sql create [file-name]@current: Translate the current version of the file on disk into SQL statements.
  • pydal2sql create or pydal2sql create -: Prompts the user to input the table definitions via stdin.

Bash pipe or redirect is also supported:

  • cat [file-name] | pydal2sql create
  • pydal2sql create < [file-name]

Git Integration

The tool allows you to specify a git branch or commit hash when translating a file. Using the 'latest' keyword will use the latest commit, and 'current' will use the file as it currently is on disk.

Options

  • --table, --tables, -t: Specify which database tables to generate CREATE statements for (default is all).
  • --db-type, --dialect: Specify the SQL dialect to use (SQLite, Postgres, MySQL). The default is guessed from the code or else the user is queried.
  • --magic: If variables are missing, this flag will insert variables with that name so the code does (probably) not crash.
  • --noop: Doesn't create the migration code but only shows the Python code that would run to create it.

ALTER

  • pydal2sql alter [file1] [file2]: Generates the ALTER migration from the state in file1 to the state in file2.
  • pydal2sql alter [file1]@[branch-or-commit-hash] [file2]@[branch-or-commit-hash]: Compares the files at those specific versions and generates the ALTER migration.

Using - instead of a file name will prompt the user via stdin to paste the define tables code.

Global Options

Global options that go before the subcommand:

  • --verbosity: Sets how verbose the program should be, with a number between 1 and 4 (default is 2).
  • --config: Path to a specific config toml file. Default is pyproject.toml at the key [tool.pydal2sql].
  • --version: Prints the CLI tool version and exits.
  • --show-config: Prints the currently used config and exits.

Example:

pydal2sql --verbosity 3 create
pydal2sql --version

Configuration

A configuration file (in toml) can be selected with --config. By default, pyproject.toml is used. In the configuration file, the following keys are supported under the [tool.pydal2sql] section:

  • dialect/db-type: Default database dialect to use.
  • magic: A boolean flag to use the --magic option (default is False).
  • noop: A boolean flag to use the --noop option (default is False).
  • tables: A list of table names to generate CREATE/ALTER statements for.

The CLI command options can overwrite the config values. For example, --no-magic will still set magic to False even if it's set to True in the config file.

Example of the toml configuration:

[tool.pydal2sql]
dialect = "postgres" # postgres, mysql or sqlite
magic = true
noop = false
tables = ["table1", "table2"]

All keys are optional.

⚠️ Experimental 🪄✨Magic🌟💻

If you're copy-pasting some define_table statements which have validators or defaults that are defined elsewhere, the SQL generation could crash due to msising variables. However, if these variables are irrelevant to the samentics of the table definition (i.e. only used at runtime, not for the schema definition), you can now try the --magic flag.

This flag will replace all missing variables with a special Empty class, which does nothing but prevent NameError, AttributeError and TypeErrors.

Magic will also remove local imports and imports that could not be found.

This is of course not production-safe, so it shouldn't be used anywhere else.

TODO:

The following patterns are currently not supported:

  • def define_tables(db): ...

As a Python Library

pydal2sql also exposes a generate_sql method that can perform the same actions on one (for CREATE) or two (for ALTER) pydal.Table objects when used within Python.

from pydal import DAL, Field
from pydal2sql import generate_sql

db = DAL(None, migrate=False)  # <- without running database or with a different type of database

person_initial = db.define_table(
    "person",
    Field(
        "name",
        "string",
        notnull=True,
    ),
    Field("age", "integer", default=18),
    Field("float", "decimal(2,3)"),
    Field("nicknames", "list:string"),
    Field("obj", "json"),
)

print(
    generate_sql(
        db.person, db_type="psql"  # or sqlite, or mysql; Optional with fallback to currently using database type.
    )
)
CREATE TABLE person
(
    id        INTEGER PRIMARY KEY AUTOINCREMENT,
    name      VARCHAR(512),
    age       INTEGER,
    float     NUMERIC(2, 3),
    nicknames TEXT,
    obj       TEXT
);
person_new = db.define_table(
    "person",
    Field(
        "name",
        "text",
    ),
    Field("birthday", "datetime"),
    redefine=True
)

generate_sql(
    person_initial,
    person_new,
    db_type="psql"
)
ALTER TABLE person ADD "name__tmp" TEXT;
UPDATE person SET "name__tmp"=name;
ALTER TABLE person DROP COLUMN name;
ALTER TABLE person ADD name TEXT;
UPDATE person SET name="name__tmp";
ALTER TABLE person DROP COLUMN "name__tmp";
ALTER TABLE person ADD birthday TIMESTAMP;
ALTER TABLE person DROP COLUMN age;
ALTER TABLE person DROP COLUMN float;
ALTER TABLE person DROP COLUMN nicknames;
ALTER TABLE person DROP COLUMN obj;

License

pydal2sql is distributed under the terms of the MIT license.

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