pydal2sql 0.3.0

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

pydal2sql

---

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

Table of Contents

• Installation
• License

Example

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

db.define_table(
    "person",
    Field(
        "name",
        "string",
        nullable=False,
    ),
    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
);

Installation

pip install pydal2sql
# or
pipx install pydal2sql

cli

Given a Python file:

# model_fragment.py
db.define_table(
    "person",
    Field(...)
)

# optionally:
# db_type = 'postgres'
# tables = ['person']

Then in the terminal:

cat model_fragment.py | pydal2sql # without cli args if settings are set in code, or
cat model_fragment.py | pydal2sql postgres --table person # with args if settings are not in code
# both output the CREATE TABLE statements to stdout.

# alternatively, you can simply run `pydal2sql` and you will be prompted for the code, which you can then paste.

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

Example with pipx

License

pydal2sql is distributed under the terms of the MIT license.