Confiture 🍓

PostgreSQL migrations, sweetly done.

Build from DDL. Adopt on day one against a database that already has migrations applied. Preflight every deploy against a parallel database with structural diff. Sync production data with PII anonymization.

In 30 seconds

# 1. You already have a database at migration 004 (applied by hand or by another tool).
#    Tell Confiture about that history without re-running the SQL:
$ confiture migrate baseline --through 004 -c db/environments/production.yaml
  ✅ 001 create_users (marked as applied)
  ✅ 002 create_orders (marked as applied)
  ✅ 003 add_user_email (marked as applied)
  ✅ 004 add_user_preferences (marked as applied)
✅ Marked 4 migration(s) as applied, skipped 0 already applied

# 2. Machine-readable proof that the tracking is healthy:
$ confiture migrate status -c db/environments/production.yaml --format json | jq '.applied | length'
4

# 3. Preflight: replay pending migrations on a parallel DB, emit a structural diff vs. db/schema/.
$ confiture migrate preflight --against "$PREFLIGHT_URL" -c db/environments/production.yaml
▸ Replaying pending migrations on preflight DB …
  ✓ 20260520143015_add_user_bio                 applied in 24 ms
▸ Comparing resulting schema vs. db/schema/ …
  ✓ No drift — preflight matches db/schema/
✓ Preflight passed. Safe to deploy.
exit 0

That's the loop. Baseline once → status to confirm → preflight every deploy.

Already have migrations?

The single biggest reason migration tools fail adoption is the day-one cliff: existing tables already exist, so any tool that tries to apply migrations from scratch crashes on the first CREATE TABLE. Confiture's answer is migrate baseline:

confiture migrate baseline --through <last-applied-version>

The walkthrough — including failure modes, the integration test that backs the recipe, and what tb_confiture ends up looking like — is in docs/guides/legacy-bootstrap.md.

No `db/schema/` directory? That works too.

confiture migrate up, down, down-to, status, current, baseline, and preflight are the migration runner — they don't require a db/schema/ directory (migrate current prints the latest applied revision as a narrow "what's deployed?" contract; migrate down --steps N rolls back relatively while migrate down-to <revision> rolls back to a specific revision, refusing atomically if any required .down.sql is missing). The "Build from DDL" pitch above the fold sells one of confiture's four strategies; the other three (incremental migrations, production sync, schema-to-schema FDW migration) work against a project whose only source of truth is the migration chain itself.

If you're evaluating confiture against Flyway / Alembic / dbmate / sqlx-cli as a pure migration runner, skip confiture build and use everything else. Walkthrough: docs/guides/02-incremental-migrations.md.

When to use Confiture?

Capability	Confiture	Flyway	Alembic	dbmate	sqlx-cli	plain psql
Source of truth	DDL files or migration chain	migration chain	model classes	migration chain	migration chain	DDL files
Tracking table	yes	yes	yes	yes	yes	no
Rollback (`down.sql`)	yes	paid	yes	yes	yes	no
Preflight against a copy DB	yes (structural diff)	no	no	no	no	no
Build from scratch in <1s	yes	no	no	no	no	yes (manual)
Production sync + anonymization	yes	no	no	no	no	no
Zero-downtime via FDW	yes	no	no	no	no	no
Ecosystem maturity / stars	early	very mature	mature	mature	mature	n/a

Note on "source of truth": confiture can run as a pure migration tool against a project that has no db/schema/ directory — the DDL workflow is opt-in. See No db/schema/ directory? above.

Confiture wins on build-from-DDL, structural-diff preflight, and production sync. It loses on ecosystem age — Flyway and Alembic have a decade of community knowledge. Pick honestly.

Adoption checklist

Situation	Recommended tool
1 environment + 1 contributor, schema rarely changes	plain `psql`
2+ environments, schema changes weekly	Confiture, Flyway, Alembic, or dbmate
Multi-agent / AI-driven development on shared schemas	Confiture with the pgGit plugin (`plugins/fraiseql-confiture-pggit/`)
You have a migration chain (no `db/schema/`) and want preflight + tracking	Confiture (use everything except `confiture build`)
You want `db/schema/` to be source of truth, not a migration chain	Confiture
You need zero-downtime schema swaps with `postgres_fdw`	Confiture (Medium 4)
You're committed to SQLAlchemy ORM	Alembic
You're committed to a JVM stack	Flyway

CI integration

A migrate preflight gate on every PR, a migrate up step on deploy. Exit codes are semantic, so the CI configuration stays simple:

# .github/workflows/db.yml
name: DB

on:
  pull_request:
    paths:
      - 'db/**'
  push:
    branches: [main]

jobs:
  preflight:
    if: github.event_name == 'pull_request'
    runs-on: ubuntu-latest
    services:
      postgres:
        image: postgres:16
        env: { POSTGRES_PASSWORD: x }
        ports: ['5432:5432']
        options: >-
          --health-cmd pg_isready --health-interval 10s
          --health-timeout 5s --health-retries 5
    steps:
      - uses: actions/checkout@v4
      - uses: astral-sh/setup-uv@v3
      - run: uv pip install --system fraiseql-confiture
      - name: Restore production snapshot to preflight DB
        run: ./scripts/restore-snapshot.sh   # your own; pg_restore from S3/GCS
      - name: Confiture preflight
        env:
          PREFLIGHT_URL: postgresql://postgres:x@localhost:5432/preflight
        run: |
          confiture migrate preflight \
            --against "$PREFLIGHT_URL" \
            -c db/environments/preflight.yaml \
            --format json --output preflight.json
      - uses: actions/upload-artifact@v4
        with:
          name: preflight-report
          path: preflight.json

  deploy:
    if: github.ref == 'refs/heads/main'
    runs-on: ubuntu-latest
    environment: production
    steps:
      - uses: actions/checkout@v4
      - uses: astral-sh/setup-uv@v3
      - run: uv pip install --system fraiseql-confiture
      # No YAML needed in CI — the migrate family reads DATABASE_URL directly
      # (or pass --database-url "$DSN"). See the connection-source docs below.
      - run: confiture migrate up
        env:
          DATABASE_URL: ${{ secrets.PROD_DATABASE_URL }}

migrate up/down/status/verify/preflight accept --database-url <dsn> (or read CONFITURE_DATABASE_URL / DATABASE_URL) so runtime-resolved DSNs need no temp YAML — precedence and details in the CLI reference.

Exit codes are a documented stability contract — see the exit-code reference. The most operationally important: 2 tracking table absent, 3 DB connection failed, 5 config invalid, 6 lock contention. For migrate preflight's drift-gate codes specifically, see the dry-run guide.

Migrations that open their own SAVEPOINTs, use psycopg's conn.transaction(), or wrap DO $$ … EXCEPTION WHEN … $$ blocks are supported under all three modes. The rules a migration body must follow for the SAVEPOINT-based rollback to stay clean are documented in the transaction & SAVEPOINT contract.

Python project snippet

Add Confiture as a dev dependency. pglast (PostgreSQL's own parser) comes with it since 0.50.0.

# pyproject.toml
[dependency-groups]
dev = [
  "fraiseql-confiture>=0.50",
  "pytest>=8",
]

# justfile
default:
    just --list

db-build:
    confiture build --env local

db-up:
    confiture migrate up

db-status:
    confiture migrate status

db-preflight:
    confiture migrate preflight --against "$PREFLIGHT_URL"

Or as a Makefile:

db-build:
	confiture build --env local

db-up:
	confiture migrate up

db-status:
	confiture migrate status

Library API

Confiture is a CLI first, but the migrator is fully usable from Python:

from confiture import Migrator

with Migrator.from_config("db/environments/prod.yaml") as m:
    status = m.status()
    if status.has_pending:
        result = m.up()
        print(f"Applied {len(result.applied)} migrations")

The Four Strategies

Strategy	Use Case	Command
Build from DDL	Fresh databases, testing, CI	`confiture build --env local`
Incremental Migrations	Existing databases, production	`confiture migrate up`
Production Sync	Copy data with PII anonymization	`confiture sync --from prod --anonymize users.email`
Zero-Downtime	Complex migrations via FDW	`confiture migrate schema-to-schema`

Documentation

Start here

Getting started — first 5 minutes.
Legacy bootstrap guide — adopting on an existing database.
Prerequisites — PostgreSQL version, roles, secret stores.

Guides

Build from DDL
Incremental Migrations — up, down, rollback.
Parallel, cacheable CI provisioning — build --dump artifacts, test-db template/clone, per-worker xdist fixtures, slim seed profiles.
Production Data Sync
Zero-Downtime Migrations
Dry-Run + Preflight
Replica-safe migrations — replica_001 / PFLIGHT_REPLICA_* forward-compatibility lint under streaming replication.
Bootstrap — confiture bootstrap for one-shot env ownership setup.
Superuser Migrations — requires_superuser = True + migrate apply-as recovery workflow.
Function Uniqueness — func_001 catches duplicate CREATE FUNCTION across DDL files.
Security-Definer Lint — sec_002 flags SECURITY DEFINER functions/procedures that don't pin search_path (CVE-2018-1058); static DDL scan and live pg_proc path; --emit-remediation generates ALTER scripts.
Named Schemas
Hooks
pgGit branching and multi-agent coordination — a plugin since 1.16, not part of confiture's core.

Reference

Tracking table (tb_confiture)
Transaction & SAVEPOINT contract — what migration bodies may and may not do under the wrapping transaction.
Exit-code convention — the stable, wrapper-facing exit codes.
CLI
Configuration YAML
Complete feature list

For agents and tooling

JSON schemas are published for the --format json output of build, drift, introspect, lint, sync, validate-config, verify-checksums and, in the migrate family, migrate up, migrate down-to, migrate status, migrate current, migrate diff, migrate fix, migrate introspect, migrate preflight, migrate steps, migrate validate and migrate verify. They ship in the package (python/confiture/schemas/) and are mirrored under docs/reference/json-schemas/; a test asserts the mirror equals the packaged source (see docs/reference/json-schemas.md). The other commands' JSON payloads are stable but not schema-backed yet.
On an error path in --format json mode, the migrate family emits a structured error envelope on stdout — {"ok": false, "error": {code, message, severity, actionable, details, migration, file, line}} — and exits with the exit code for that error. The full code list and the envelope schema are in the error-code codebook.
confiture migrate validate --list-patterns --format json exposes the full idempotency-detection catalog (read-only, no DB / config / migrations directory needed).
Quiet-success ambiguities surface advisory hints in payload["hints"] (or on stderr in text mode) — exit codes are unaffected.

Contributing

git clone https://github.com/fraiseql/confiture.git
cd confiture
uv sync --all-extras
uv run pytest

See CONTRIBUTING.md and CLAUDE.md.

Author & License

Vibe-engineered by Lionel Hamayon 🍓

Making jam from strawberries, one migration at a time. 🍓→🍯

Release files for fraiseql-confiture 1.16.0

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Source distribution for fraiseql-confiture 1.16.0
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