Files
docker-volume-backup/tests/unit/backup/test_app_databases_csv.py
Kevin Veen-Birkenbach d4317827bd feat(backup): capture volumes from a filesystem snapshot
Backing up a live volume with rsync copies a moving target: a database
written to mid-copy lands on disk in a state no engine ever committed.
Stopping the container avoids that at the cost of downtime.

A snapshot removes both. `--snapshot {btrfs,zfs}` with `--snapshot-subject`
freezes the docker root once per run, and every volume copy is then read
from that frozen tree while the containers keep serving. A restore of such
a copy is an ordinary crash recovery, which every supported engine performs
on its own at startup.

An unsupported filesystem or an unknown snapshot kind fails loudly rather
than degrading to a live copy, since a silent fallback would return exactly
the torn backup the mode exists to prevent. `--shutdown` is rejected
alongside `--snapshot` instead of being ignored: under a snapshot no
container is ever stopped, so accepting the flag would promise downtime
semantics the run does not deliver.

Copies out of a snapshot skip rsync's --checksum verification. The source
is immutable for the lifetime of the copy, so size-and-mtime cannot race,
and dropping the second full read roughly halves the I/O per volume.

backup/app.py grew past what one module could carry and is split into
layout, policy and dumps along the lines it already had internally.

Tests: unit coverage for the new snapshot, layout, policy, volume and cli
units; e2e cases drive real btrfs, zfs and ext4 filesystems on loop devices
in a privileged container, including a MariaDB that is written to across
the snapshot and must recover from the restored copy without losing a
committed row. CI installs zfs and sets E2E_REQUIRE_FILESYSTEMS so a
missing kernel module fails the build instead of silently skipping a
filesystem.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-07-31 13:01:43 +02:00

78 lines
2.7 KiB
Python

import io
import os
import tempfile
import unittest
from contextlib import redirect_stderr
import pandas as pd
# Adjust if your package name/import path differs.
from baudolo.backup.dumps import load_databases_df
EXPECTED_COLUMNS = ["instance", "database", "username", "password"]
class TestLoadDatabasesDf(unittest.TestCase):
def test_missing_csv_is_handled_with_warning_and_empty_df(self) -> None:
with tempfile.TemporaryDirectory() as td:
missing_path = os.path.join(td, "does-not-exist.csv")
buf = io.StringIO()
with redirect_stderr(buf):
df = load_databases_df(missing_path)
stderr = buf.getvalue()
self.assertIn("WARNING:", stderr)
self.assertIn("databases.csv not found", stderr)
self.assertIsInstance(df, pd.DataFrame)
self.assertListEqual(list(df.columns), EXPECTED_COLUMNS)
self.assertTrue(df.empty)
def test_empty_csv_is_handled_with_warning_and_empty_df(self) -> None:
with tempfile.TemporaryDirectory() as td:
empty_path = os.path.join(td, "databases.csv")
# Create an empty file (0 bytes)
with open(empty_path, "w", encoding="utf-8") as f:
f.write("")
buf = io.StringIO()
with redirect_stderr(buf):
df = load_databases_df(empty_path)
stderr = buf.getvalue()
self.assertIn("WARNING:", stderr)
self.assertIn("exists but is empty", stderr)
self.assertIsInstance(df, pd.DataFrame)
self.assertListEqual(list(df.columns), EXPECTED_COLUMNS)
self.assertTrue(df.empty)
def test_valid_csv_loads_without_warning(self) -> None:
with tempfile.TemporaryDirectory() as td:
csv_path = os.path.join(td, "databases.csv")
content = "instance;database;username;password\nmyapp;*;dbuser;secret\n"
with open(csv_path, "w", encoding="utf-8") as f:
f.write(content)
buf = io.StringIO()
with redirect_stderr(buf):
df = load_databases_df(csv_path)
stderr = buf.getvalue()
self.assertEqual(stderr, "") # no warning expected
self.assertIsInstance(df, pd.DataFrame)
self.assertListEqual(list(df.columns), EXPECTED_COLUMNS)
self.assertEqual(len(df), 1)
self.assertEqual(df.loc[0, "instance"], "myapp")
self.assertEqual(df.loc[0, "database"], "*")
self.assertEqual(df.loc[0, "username"], "dbuser")
self.assertEqual(df.loc[0, "password"], "secret")
if __name__ == "__main__":
unittest.main()