Peter van Arkel
3f3bdf2d45
Add a staff-only POST action on host detail pages to discover existing snapshots for that host and record them into SQL. Show success or failure feedback through Django messages, and keep the action non-destructive before adding heavier backup or retention controls. Cover the action with view tests for successful discovery, redirect behavior, and method safety.
170 lines
4.1 KiB
Markdown
170 lines
4.1 KiB
Markdown
# pobsync
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`pobsync` is a pull-based backup service. It runs on a central backup server and pulls data from remote machines via rsync over SSH.
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The refactor direction is SQL-first:
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- Django is the management layer and source of truth.
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- SQLite is the default database; MariaDB is optional.
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- Backups still use the existing rsync snapshot engine internally.
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- Scheduling is handled by a Django/Docker scheduler process, not host cron.
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- Legacy YAML import/export exists only for migration and inspection.
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## Requirements
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On the backup server or in the container:
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- Python 3.11+
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- rsync
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- ssh
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- SSH key-based access from the backup server to remotes
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## Local Development
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```
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python3 -m venv .venv
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. .venv/bin/activate
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python3 -m pip install -e .
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mkdir -p var
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python3 manage.py migrate
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python3 manage.py createsuperuser
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python3 manage.py runserver
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```
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The admin is available at:
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- http://127.0.0.1:8000/
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- http://127.0.0.1:8000/admin/
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Staff-only JSON endpoints are available at:
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- http://127.0.0.1:8000/api/
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- http://127.0.0.1:8000/api/status/
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## SQL-First Setup
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Create global config:
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```
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pobsync configure-global --backup-root /mnt/backups/pobsync
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```
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Create a host config:
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```
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pobsync configure-host <host> --address <host-or-ip>
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```
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Run a backup:
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```
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pobsync backup <host> --prune
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```
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Create or update a schedule:
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```
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pobsync schedule <host> --cron "15 2 * * *" --prune
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```
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Run the scheduler:
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```
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pobsync scheduler --loop --interval 60
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```
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Plan or apply retention manually:
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```
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pobsync retention <host>
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pobsync retention <host> --apply --yes --max-delete 10
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```
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Discover snapshots already present on disk:
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```
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pobsync discover-snapshots --host <host>
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```
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The `pobsync` executable is a thin wrapper around Django management commands. Direct Django access is also available:
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```
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pobsync django check
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python3 manage.py run_pobsync_backup <host> --prune
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```
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## Migration Helpers
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Import existing legacy YAML configs:
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```
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python3 manage.py import_pobsync_configs --prefix /opt/pobsync
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```
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Export SQL config to legacy runtime YAML for inspection or one-off compatibility:
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```
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python3 manage.py export_pobsync_configs --prefix /opt/pobsync
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```
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These commands are migration helpers, not the normal operating model.
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## Docker With SQLite
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```
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docker compose up --build web
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```
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This starts Django on:
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- http://127.0.0.1:8010/
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- http://127.0.0.1:8010/admin/
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- http://127.0.0.1:8010/api/
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- http://127.0.0.1:8010/api/status/
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Run the scheduler alongside the web admin:
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```
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docker compose up --build web scheduler
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```
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The container persists `/opt/pobsync` and the SQLite database in Docker volumes.
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## Docker With MariaDB
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```
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docker compose --profile mariadb up --build web-mariadb
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```
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With the scheduler:
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```
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docker compose --profile mariadb up --build web-mariadb scheduler-mariadb
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```
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SQLite remains the default because it is enough for a single backup server and keeps deployment simple.
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## Current Architecture
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The public command surface is Django-first. The old YAML/cron CLI has been retired from the `pobsync` entrypoint.
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Discovered snapshots are stored in `SnapshotRecord`, including the base snapshot metadata and a nullable SQL link to the
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base record when it is known.
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The Django retention command plans from `SnapshotRecord` instead of rediscovering snapshots from the filesystem.
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Post-backup pruning from Django also uses the SQL retention service after the completed snapshot is recorded.
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Staff-only JSON endpoints expose service status, hosts, snapshots, and backup runs for lightweight inspection.
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Staff-only dashboard views expose the same operational state through Django templates.
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Host pages include a safe snapshot discovery action that records existing snapshots into SQL.
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The remaining internal engine code still contains reusable backup primitives:
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- snapshot naming and metadata
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- rsync command construction and execution
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- retention planning and pruning
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- host locking
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Next refactor targets:
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- Move more snapshot lifecycle details into typed domain objects.
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- Replace remaining dictionary-shaped config at engine boundaries.
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- Remove legacy YAML import/export once production migration no longer needs it.
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