Files
docker-volume-backup/src/baudolo/databases.py
Kevin Veen-Birkenbach efcfe88e7f style!: adopt the core lint bar and migrate to it
The package carried no ruff configuration at all, so it ran on the defaults (E4+E7+E9+F) while infinito-nexus-core, its only consumer, holds itself to a far wider selection. Measured against that selection this tree had 224 findings. It now has none.

The selector list is core's verbatim so both repositories answer to one bar. target-version stays py39 rather than core's py311, because requires-python still declares >=3.9 and pyupgrade would otherwise propose syntax the declared minimum cannot run. Every ignore carries its reason: S603/S607 in particular, since running docker and dump binaries from PATH in list form is this tool's whole job and is already injection-safe.

Two conversions are judgement rather than mechanics. os.path.join(dir, '') was the rsync idiom for a trailing separator, which Path drops, so it becomes an explicit os.sep. os.path.abspath stays where Path.resolve() would follow symlinks and let a symlinked volume test as inside the snapshot subject.

BREAKING CHANGE: VersionMismatch is renamed VersionMismatchError.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-18 01:51:18 +02:00

104 lines
3.2 KiB
Python

"""The databases.csv contract: its columns, its delimiter, and what a row means.
``baudolo-seed`` writes the file, the backup reads it to learn which dumps to
take, and a restore consumer reads it again to replay them. Stating the schema
once keeps a column or a convention added here from being invisible to the
other two.
Field values are handed back exactly as they stand in the file. A password may
legitimately begin or end with a space, so stripping belongs to the caller that
compares, never to the reader.
"""
from __future__ import annotations
import csv
import re
from pathlib import Path
from typing import NamedTuple
COLUMNS = ("instance", "database", "username", "password")
DELIMITER = ";"
CLUSTER_ROW = "*"
_NAME_RE = re.compile(r"^[a-zA-Z0-9_][a-zA-Z0-9_-]*$")
class DatabasesCsvError(ValueError):
"""A row does not match the contract."""
class Row(NamedTuple):
"""One databases.csv row, verbatim.
``database`` holds :data:`CLUSTER_ROW` when the whole instance is dumped.
"""
instance: str
database: str
username: str
password: str
@property
def is_cluster(self) -> bool:
return self.database.strip() == CLUSTER_ROW
def validate_database(value: str | None, *, instance: str) -> str:
"""The database column of one row, or raise.
The name reaches a shell as part of the dump command, so it is checked
where it is read as well as where it is written: a file edited by hand
never passed the seed.
Args:
value: the raw column.
instance: named in the error, so a bad row can be found.
Raises:
DatabasesCsvError: the column is empty, literally ``nan``, or holds
anything but letters, numbers, ``_`` and ``-``.
"""
text = (value or "").strip()
if not text:
raise DatabasesCsvError(
f"Invalid databases.csv entry for instance '{instance}': column "
f"'database' must be '{CLUSTER_ROW}' or a concrete database name "
"(not empty)."
)
if text == CLUSTER_ROW:
return CLUSTER_ROW
if text.lower() == "nan":
raise DatabasesCsvError(
f"Invalid databases.csv entry for instance '{instance}': "
"database must not be 'nan'."
)
if not _NAME_RE.match(text):
raise DatabasesCsvError(
f"Invalid databases.csv entry for instance '{instance}': invalid "
f"database name '{text}'. Allowed: letters, numbers, '_' and '-'."
)
return text
def read_rows(csv_path: str) -> list[Row]:
"""Every row of the file in file order, header skipped, blank rows dropped.
Raises:
DatabasesCsvError: a row holds fewer columns than :data:`COLUMNS`.
"""
rows: list[Row] = []
with Path(csv_path).open(newline="", encoding="utf-8") as handle:
reader = csv.reader(handle, delimiter=DELIMITER)
next(reader, None)
for raw in reader:
if not any(field.strip() for field in raw):
continue
if len(raw) < len(COLUMNS):
raise DatabasesCsvError(
f"{csv_path} has a row with {len(raw)} column(s), "
f"expected {len(COLUMNS)}"
)
rows.append(Row(*raw[: len(COLUMNS)]))
return rows