generator. For instance, if I have a postgresql database named charles_blog, I might run: python -m pwiz -e postgresql charles_blog > blog_models.py What next? That’s it for the quickstart. If you want by (surname, firstname). SELECT DISTINCT m.firstname, m.surname FROM members AS m2 INNER JOIN members AS m ON (m.memid = m2.recommendedby) ORDER BY m.surname, m.firstname; MA = Member.alias() query = (Member (surname, firstname). SELECT m.firstname, m.surname, r.firstname, r.surname FROM members AS m LEFT OUTER JOIN members AS r ON (m.recommendedby = r.memid) ORDER BY m.surname, m.firstname MA = Member.alias()

generator. For instance, if I have a postgresql database named charles_blog, I might run: python -m pwiz -e postgresql charles_blog > blog_models.py What next? That’s it for the quickstart. If you want by (surname, firstname). SELECT DISTINCT m.firstname, m.surname FROM members AS m2 INNER JOIN members AS m ON (m.memid = m2.recommendedby) ORDER BY m.surname, m.firstname; MA = Member.alias() query = (Member (surname, firstname). SELECT m.firstname, m.surname, r.firstname, r.surname FROM members AS m LEFT OUTER JOIN members AS r ON (m.recommendedby = r.memid) ORDER BY m.surname, m.firstname MA = Member.alias()

generator. For instance, if I have a postgresql database named charles_blog, I might run: python -m pwiz -e postgresql charles_blog > blog_models.py What next? That’s it for the quickstart. If you want by (surname, firstname). SELECT DISTINCT m.firstname, m.surname FROM members AS m2 INNER JOIN members AS m ON (m.memid = m2.recommendedby) ORDER BY m.surname, m.firstname; MA = Member.alias() query = (Member (surname, firstname). SELECT m.firstname, m.surname, r.firstname, r.surname FROM members AS m LEFT OUTER JOIN members AS r ON (m.recommendedby = r.memid) ORDER BY m.surname, m.firstname MA = Member.alias()

generator. For instance, if I have a postgresql database named charles_blog, I might run: python -m pwiz -e postgresql charles_blog > blog_models.py 1.2.6 What next? That’s it for the quickstart. If by (surname, firstname). SELECT DISTINCT m.firstname, m.surname FROM members AS m2 INNER JOIN members AS m ON (m.memid = m2.recommendedby) ORDER BY m.surname, m.firstname; MA = Member.alias() query = (Member (surname, firstname). SELECT m.firstname, m.surname, r.firstname, r.surname FROM members AS m LEFT OUTER JOIN members AS r ON (m.recommendedby = r.memid) ORDER BY m.surname, m.firstname MA = Member.alias()

generator. For instance, if I have a postgresql database named charles_blog, I might run: python -m pwiz -e postgresql charles_blog > blog_models.py 1.2.6 What next? That’s it for the quickstart. If by (surname, firstname). SELECT DISTINCT m.firstname, m.surname FROM members AS m2 INNER JOIN members AS m ON (m.memid = m2.recommendedby) ORDER BY m.surname, m.firstname; MA = Member.alias() query = (Member (surname, firstname). SELECT m.firstname, m.surname, r.firstname, r.surname FROM members AS m LEFT OUTER JOIN members AS r ON (m.recommendedby = r.memid) ORDER BY m.surname, m.firstname MA = Member.alias()

generator. For instance, if I have a postgresql database named charles_blog, I might run: python -m pwiz -e postgresql charles_blog > blog_models.py What next? That’s it for the quickstart. If you want This differs from the behavior of transaction, which will automatically open a new transaction after manual commit/rollback. Autocommit Mode By default, Peewee operates in autocommit mode, such that any completely, you can use the Database.manual_commit() context-manager/decorator. Here is how you might emulate the behavior of the transaction() context manager: with db.manual_commit(): db.begin() # Have

generator. For instance, if I have a postgresql database named charles_blog, I might run: python -m pwiz -e postgresql charles_blog > blog_models.py 1.2.6 What next? That’s it for the quickstart. If This differs from the behavior of transaction, which will automatically open a new transaction after manual commit/rollback. Autocommit Mode By default, Peewee operates in autocommit mode, such that any completely, you can use the Database.manual_commit() context-manager/decorator. Here is how you might emulate the behavior of the transaction() context manager: with db.manual_commit(): db.begin() # Have to

generator. For instance, if I have a postgresql database named charles_blog, I might run: python -m pwiz -e postgresql charles_blog > blog_models.py What next? That’s it for the quickstart. If you want This differs from the behavior of transaction, which will automatically open a new transaction after manual commit/rollback. Autocommit Mode By default, Peewee operates in autocommit mode, such that any completely, you can use the Database.manual_commit() context-manager/decorator. Here is how you might emulate the behavior of the transaction() context manager: with db.manual_commit(): db.begin() # Have

generator. For instance, if I have a postgresql database named charles_blog, I might run: python -m pwiz -e postgresql charles_blog > blog_models.py 1.2.6 What next? That’s it for the quickstart. If This differs from the behavior of transaction, which will automatically open a new transaction after manual commit/rollback. Autocommit Mode By default, Peewee operates in autocommit mode, such that any completely, you can use the Database.manual_commit() context-manager/decorator. Here is how you might emulate the behavior of the transaction() context manager: with db.manual_commit(): db.begin() # Have to

generator. For instance, if I have a postgresql database named charles_blog, I might run: python -m pwiz -e postgresql charles_blog > blog_models.py What next? That’s it for the quickstart. If you want databases. Introspecting a Postgresql database: python -m pwiz --engine=postgresql my_postgresql_database Introspecting a SQLite database: python -m pwiz --engine=sqlite test.db pwiz will generate: Database database. The generated code is written to stdout, and can easily be redirected to a file: python -m pwiz -e postgresql my_postgresql_db > models.py Note pwiz generally works quite well with even large