Alembic autogenerate extension for PostgreSQL-specific objects
Project description
alembic-pg-autogen
Status: Alpha - the core pipeline works and is tested against real PostgreSQL, but the API may change before 1.0.
Alembic autogenerate extension for PostgreSQL functions and triggers. If you've been manually writing op.execute()
calls every time you add or change a PL/pgSQL function, this package automates that. Declare your DDL strings and let
alembic revision --autogenerate figure out the CREATE, DROP, and CREATE OR REPLACE for you.
Background
alembic_utils pioneered autogenerate support for PostgreSQL objects and has been hugely helpful to the community. This project takes a different approach aimed at faster performance on large schemas with many functions and triggers.
How it works
You declare your desired functions and triggers as plain DDL strings. When you run alembic revision --autogenerate,
the extension:
- Inspects the live database catalog for existing functions and triggers
- Canonicalizes your DDL by executing it inside a savepoint and reading back the catalog (then rolling back)
- Diffs current vs. desired state, matching objects by identity (schema + name + argument types)
- Emits migration ops in dependency-safe order (drop triggers before functions, create functions before triggers)
Installation
pip install alembic-pg-autogen
Requires Python 3.10+ and SQLAlchemy 2.x. Bring your own PostgreSQL driver (psycopg, psycopg2, asyncpg, etc.).
This package depends on postgast for AST-level DDL parsing (identity extraction,
OR REPLACE injection, DROP generation). postgast has a binary dependency on
libpg_query. Pre-built wheels are published for all major platforms, so no C
compiler or PostgreSQL installation is needed at install time.
Quick start
1. Declare your DDL
In your env.py (or a separate module), define the functions and triggers you want managed:
PG_FUNCTIONS = [
"""
CREATE OR REPLACE FUNCTION audit_trigger_func()
RETURNS trigger LANGUAGE plpgsql AS $$
BEGIN
NEW.updated_at = now();
RETURN NEW;
END;
$$
""",
]
PG_TRIGGERS = [
"""
CREATE TRIGGER set_updated_at
BEFORE UPDATE ON my_table
FOR EACH ROW EXECUTE FUNCTION audit_trigger_func()
""",
]
2. Wire it into env.py
Import the package (this registers the Alembic comparator plugin). Then in your run_migrations_online() function, pass
them as keyword arguments to context.configure() along with the autogenerate_plugins list::
import alembic_pg_autogen # noqa: F401 # registers the comparator plugin
# ... in run_migrations_online():
context.configure(
connection=connection,
target_metadata=target_metadata,
autogenerate_plugins=["alembic.autogenerate.*", "alembic_pg_autogen.*"],
pg_functions=PG_FUNCTIONS,
pg_triggers=PG_TRIGGERS,
)
3. Autogenerate as usual
alembic revision --autogenerate -m "add audit trigger"
4. Generated migration
The migration file will contain op.execute() calls (no custom op imports needed):
def upgrade() -> None:
op.execute("""CREATE OR REPLACE FUNCTION public.audit_trigger_func()
RETURNS trigger
LANGUAGE plpgsql
AS $function$
BEGIN
NEW.updated_at = now();
RETURN NEW;
END;
$function$""")
op.execute("""CREATE TRIGGER set_updated_at BEFORE UPDATE ON public.my_table
FOR EACH ROW EXECUTE FUNCTION audit_trigger_func()""")
def downgrade() -> None:
op.execute("DROP TRIGGER set_updated_at ON public.my_table")
op.execute("DROP FUNCTION public.audit_trigger_func()")
Note that the upgrade DDL is the canonical form read back from PostgreSQL's catalog, not a copy of your input.
This means formatting will differ from what you wrote, but the semantics are identical.
Migrating from alembic_utils
If you're coming from alembic_utils, you can pass your existing PGFunction / PGTrigger objects directly. Any object
with a to_sql_statement_create() method is accepted alongside plain DDL strings:
from alembic_utils.pg_function import PGFunction
my_func = PGFunction(schema="public", signature="my_func()", definition="...")
PG_FUNCTIONS = [
my_func, # alembic_utils object, works as-is
"CREATE FUNCTION new_func() ...", # plain DDL string, also works
]
This lets you migrate incrementally without rewriting all your declarations at once.
Development
make install # Install dependencies (uses uv)
make lint # Format (mdformat, codespell, ruff) then type-check (basedpyright)
make test # Run full test suite (requires Docker for integration tests)
make test-unit # Run unit tests only (no Docker needed)
License
MIT
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