feat(services): backend service registry foundation (encryption, definitions, CRUD)

PR 1 of 4 for the runtime service registry change.

- Add Fernet encryption helper (services/secrets.py) with a required
  MANAGE_ENCRYPTION_KEY; validate it on startup.
- Add closed integrations/ registry with Pydantic config + widget-config
  definitions for grafana, prometheus, jellyfin, nextcloud, and ssh_tasks.
- Add services + service_task_runs tables and SettingsStore CRUD with
  cascade-delete (defensive until widgets carry service_id).
- Add /api/services/types and /api/services/instances CRUD (encrypted secrets,
  secrets_set flags only; never plaintext).
- Declare cryptography as a direct dependency.
- Require MANAGE_ENCRYPTION_KEY in compose + .env.example + README.
- Add 25 backend tests (registry, encryption, CRUD, cascade, task-run history).

Verification: ruff clean; pytest 225 passed; frontend lint/build green.
This commit is contained in:
Developer
2026-06-22 12:56:03 +00:00
parent d1819c0186
commit 8cdeadd6dd
20 changed files with 1470 additions and 0 deletions
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"""Closed registry of service integrations."""
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"""Base classes for service integrations.
A *service definition* is a closed, compile-time description of an external service
the app can talk to (Grafana, Jellyfin, …). Each definition declares:
* its non-secret ``config_schema`` (derived from a Pydantic model),
* the secret fields it accepts (API keys / tokens),
* the widget kinds it can contribute to the dashboard (each with its own
Pydantic-derived config schema).
Definitions live in :mod:`media_library_viewer_api.integrations` modules and are
assembled into the closed :data:`~media_library_viewer_api.integrations.registry.SERVICE_DEFINITIONS`
map. There is no runtime plugin loading.
"""
from __future__ import annotations
from dataclasses import dataclass, field
from typing import Any
from pydantic import BaseModel
class ServiceConfigBase(BaseModel):
"""Base for per-service non-secret config models.
Subclass this in each integration module and declare the connection fields.
The JSON schema is derived via ``model_json_schema()`` and exposed to the UI.
"""
class WidgetConfigBase(BaseModel):
"""Base for per-widget config models.
Subclass this for each widget kind a service provides. Widget configs never
hold secrets; credentials live on the parent service record.
"""
model_config = {"extra": "forbid"}
@dataclass(frozen=True)
class SecretField:
"""A secret field stored encrypted on the service record."""
key: str
label: str
required: bool = False
helper: str | None = None
@dataclass(frozen=True)
class WidgetKind:
"""A widget kind contributed by a service definition."""
kind: str
name: str
description: str
config_schema: dict[str, Any]
default_config: dict[str, Any] = field(default_factory=dict)
refresh_interval_ms: int = 0
@dataclass(frozen=True)
class ServiceDefinition:
"""Closed description of an external service type."""
service_type: str
name: str
description: str
config_model: type[ServiceConfigBase]
secret_fields: list[SecretField]
widget_kinds: list[WidgetKind]
@property
def config_schema(self) -> dict[str, Any]:
"""JSON schema for the service's non-secret config."""
return self.config_model.model_json_schema()
@property
def secret_keys(self) -> set[str]:
return {sf.key for sf in self.secret_fields}
def widget_kind(self, kind: str) -> WidgetKind | None:
for wk in self.widget_kinds:
if wk.kind == kind:
return wk
return None
def widget_kind(
kind: str,
name: str,
description: str,
model_cls: type[WidgetConfigBase],
*,
default_config: dict[str, Any] | None = None,
refresh_interval_ms: int = 0,
) -> WidgetKind:
"""Build a :class:`WidgetKind` from a Pydantic widget-config model."""
schema = model_cls.model_json_schema()
# Strip Pydantic's title noise so the exposed schema stays clean.
schema.pop("title", None)
return WidgetKind(
kind=kind,
name=name,
description=description,
config_schema=schema,
default_config=dict(default_config or {}),
refresh_interval_ms=refresh_interval_ms,
)
def validate_config(model_cls: type[BaseModel], config: dict[str, Any] | None) -> dict[str, Any]:
"""Validate a config dict against a Pydantic model and return the cleaned dict."""
instance = model_cls.model_validate(config or {})
return instance.model_dump(exclude_none=True)
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"""Grafana service definition."""
from __future__ import annotations
from media_library_viewer_api.integrations.base import (
SecretField,
ServiceConfigBase,
ServiceDefinition,
WidgetConfigBase,
widget_kind,
)
class GrafanaConfig(ServiceConfigBase):
"""Non-secret Grafana connection config."""
base_url: str
timeout_seconds: int = 5
class GrafanaLinkWidgetConfig(WidgetConfigBase):
"""Deep-link to a Grafana dashboard or panel."""
dashboard_uid: str
panel_id: int | None = None
DEFINITION = ServiceDefinition(
service_type="grafana",
name="Grafana",
description="Dashboards, metrics, and logs.",
config_model=GrafanaConfig,
secret_fields=[
SecretField(key="api_key", label="API key", helper="Service account token (optional)"),
],
widget_kinds=[
widget_kind(
kind="link",
name="Dashboard link",
description="Deep-link to a Grafana dashboard or panel.",
model_cls=GrafanaLinkWidgetConfig,
default_config={"dashboard_uid": ""},
refresh_interval_ms=0,
),
],
)
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"""Jellyfin service definition."""
from __future__ import annotations
from media_library_viewer_api.integrations.base import (
SecretField,
ServiceConfigBase,
ServiceDefinition,
WidgetConfigBase,
widget_kind,
)
class JellyfinConfig(ServiceConfigBase):
"""Non-secret Jellyfin connection config."""
base_url: str
user_id: str = ""
timeout_seconds: int = 10
class JellyfinActivityWidgetConfig(WidgetConfigBase):
"""Live Jellyfin session activity."""
# No user-overridable fields; the service record carries user_id.
pass
DEFINITION = ServiceDefinition(
service_type="jellyfin",
name="Jellyfin",
description="Media server with live session activity.",
config_model=JellyfinConfig,
secret_fields=[
SecretField(key="api_key", label="API key", required=True),
],
widget_kinds=[
widget_kind(
kind="activity",
name="Activity",
description="Live sessions and idle users.",
model_cls=JellyfinActivityWidgetConfig,
default_config={},
refresh_interval_ms=30_000,
),
],
)
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"""Nextcloud service definition.
Nextcloud is included as a proof-of-concept third-party service. It has no
dashboard widgets yet; its service page holds connection config only.
"""
from __future__ import annotations
from media_library_viewer_api.integrations.base import (
SecretField,
ServiceConfigBase,
ServiceDefinition,
)
class NextcloudConfig(ServiceConfigBase):
"""Non-secret Nextcloud connection config."""
base_url: str
username: str = ""
DEFINITION = ServiceDefinition(
service_type="nextcloud",
name="Nextcloud",
description="Self-hosted files and collaboration.",
config_model=NextcloudConfig,
secret_fields=[
SecretField(key="app_password", label="App password", required=True),
],
widget_kinds=[],
)
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"""Prometheus service definition."""
from __future__ import annotations
from media_library_viewer_api.integrations.base import (
SecretField,
ServiceConfigBase,
ServiceDefinition,
WidgetConfigBase,
widget_kind,
)
class PrometheusConfig(ServiceConfigBase):
"""Non-secret Prometheus connection config."""
base_url: str
timeout_seconds: int = 10
class PrometheusMetricWidgetConfig(WidgetConfigBase):
"""A PromQL instant query rendered as a metric."""
promql: str
DEFINITION = ServiceDefinition(
service_type="prometheus",
name="Prometheus",
description="Metrics storage and PromQL queries.",
config_model=PrometheusConfig,
secret_fields=[
SecretField(key="api_key", label="API key", helper="Optional bearer token"),
],
widget_kinds=[
widget_kind(
kind="metric",
name="Metric",
description="Instant query result rendered as a metric.",
model_cls=PrometheusMetricWidgetConfig,
default_config={"promql": ""},
refresh_interval_ms=30_000,
),
],
)
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"""Closed registry of service definitions.
Adding a brand-new service still requires a backend deploy and a module here.
There is no runtime plugin loading.
"""
from __future__ import annotations
from media_library_viewer_api.integrations.base import ServiceDefinition, WidgetKind
from media_library_viewer_api.integrations.grafana import DEFINITION as GRAFANA
from media_library_viewer_api.integrations.jellyfin import DEFINITION as JELLYFIN
from media_library_viewer_api.integrations.nextcloud import DEFINITION as NEXTCLOUD
from media_library_viewer_api.integrations.prometheus import DEFINITION as PROMETHEUS
from media_library_viewer_api.integrations.ssh_tasks import DEFINITION as SSH_TASKS
SERVICE_DEFINITIONS: dict[str, ServiceDefinition] = {
GRAFANA.service_type: GRAFANA,
PROMETHEUS.service_type: PROMETHEUS,
JELLYFIN.service_type: JELLYFIN,
NEXTCLOUD.service_type: NEXTCLOUD,
SSH_TASKS.service_type: SSH_TASKS,
}
def list_service_types() -> list[str]:
"""Return all registered service type names (sorted for stable output)."""
return sorted(SERVICE_DEFINITIONS)
def get_service_definition(service_type: str) -> ServiceDefinition | None:
"""Return the definition for a service type, or ``None`` if unknown."""
return SERVICE_DEFINITIONS.get(service_type)
def get_widget_kind(service_type: str, widget_kind: str) -> WidgetKind | None:
"""Return a widget kind declared by a service definition, or ``None``."""
definition = get_service_definition(service_type)
if definition is None:
return None
return definition.widget_kind(widget_kind)
def require_service_definition(service_type: str) -> ServiceDefinition:
"""Return the definition or raise ``ValueError`` for an unknown type."""
definition = get_service_definition(service_type)
if definition is None:
raise ValueError(f"Unknown service type: {service_type}")
return definition
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"""SSH task runner service definition.
An ``ssh_tasks`` instance is an SSH endpoint that can run reusable saved tasks.
Tasks themselves stay in the global saved-task registry; the instance only owns
transport (host/port/user/key). Every run is recorded in ``service_task_runs``
and shown as history on the instance's service page.
"""
from __future__ import annotations
from media_library_viewer_api.integrations.base import (
SecretField,
ServiceConfigBase,
ServiceDefinition,
WidgetConfigBase,
widget_kind,
)
class SshTasksConfig(ServiceConfigBase):
"""Non-secret SSH task runner config.
The SSH key itself lives in the saved SSH-key registry and is referenced by
``ssh_key_id``. An optional ``passphrase`` is stored as a secret.
"""
host: str
port: int = 22
username: str = ""
ssh_key_id: str = ""
timeout_seconds: int = 30
class SshTaskOutputWidgetConfig(WidgetConfigBase):
"""Output of a saved task run on this instance."""
task_id: str
# service_id is implicit (the widget's service); allow overriding per-widget.
service_id: str | None = None
DEFINITION = ServiceDefinition(
service_type="ssh_tasks",
name="SSH task runner",
description="Run reusable saved tasks over SSH and keep run history.",
config_model=SshTasksConfig,
secret_fields=[
SecretField(key="passphrase", label="Key passphrase", helper="Optional"),
],
widget_kinds=[
widget_kind(
kind="task_output",
name="Task output",
description="Output of a saved task run.",
model_cls=SshTaskOutputWidgetConfig,
default_config={"task_id": ""},
refresh_interval_ms=0,
),
],
)