Files
dns-sync/dns_sync/reconciliation.py
T

264 lines
7.3 KiB
Python

from collections import defaultdict
from collections.abc import Iterable, Mapping, Sequence
from typing import Protocol
from .adapters import (
Capability,
CapabilityOperation,
DNS_RECORDS,
Endpoint,
EndpointPlan,
NormalizedObject,
Observation,
PlanAction,
PlanOperation,
)
from .dependencies import order_plan_actions
ObservationGroupKey = tuple[str, str]
class ReconciliationConflict(RuntimeError):
"""Raised when observations cannot be reconciled safely."""
class PlanningConflict(RuntimeError):
"""Raised when an endpoint cannot be planned safely."""
class PlanningAdapter(Protocol):
endpoint: Endpoint
capabilities: frozenset[Capability]
class ReconciliationPolicy(Protocol):
object_type: str
def reconcile(
self,
logical_key: str,
observations: Sequence[Observation],
) -> NormalizedObject: ...
def _observation_sort_key(
observation: Observation,
) -> tuple[str, str, str]:
return (
observation.endpoint_id,
observation.object.local_key or "",
observation.observed_at.isoformat(),
)
def group_observations(
observations: Iterable[Observation],
) -> dict[ObservationGroupKey, tuple[Observation, ...]]:
grouped: dict[
ObservationGroupKey,
list[Observation],
] = defaultdict(list)
for observation in observations:
normalized = observation.object
if not observation.endpoint_id:
raise RuntimeError("Observation endpoint_id cannot be empty")
if not normalized.object_type:
raise RuntimeError("Observation object_type cannot be empty")
if not normalized.logical_key:
raise RuntimeError("Observation logical_key cannot be empty")
key = (
normalized.object_type,
normalized.logical_key,
)
grouped[key].append(observation)
return {
key: tuple(sorted(rows, key=_observation_sort_key))
for key, rows in sorted(grouped.items())
}
class DnsUnionPolicy:
object_type = DNS_RECORDS
def reconcile(
self,
logical_key: str,
observations: Sequence[Observation],
) -> NormalizedObject:
if not observations:
raise RuntimeError(
"DNS union policy requires at least one observation"
)
first = observations[0].object
conflicting_endpoints = {
observation.endpoint_id
for observation in observations
if observation.object.payload != first.payload
}
if conflicting_endpoints:
conflicting_endpoints.add(observations[0].endpoint_id)
endpoint_list = ", ".join(
sorted(conflicting_endpoints)
)
raise ReconciliationConflict(
f"Conflicting {DNS_RECORDS} observations for "
f"{logical_key!r} from {endpoint_list}"
)
return NormalizedObject(
object_type=DNS_RECORDS,
logical_key=logical_key,
payload=dict(first.payload),
)
DEFAULT_POLICIES: Mapping[str, ReconciliationPolicy] = {
DNS_RECORDS: DnsUnionPolicy(),
}
def reconcile_observations(
observations: Iterable[Observation],
policies: Mapping[str, ReconciliationPolicy] | None = None,
) -> list[NormalizedObject]:
selected_policies = (
DEFAULT_POLICIES
if policies is None
else policies
)
desired: list[NormalizedObject] = []
for (object_type, logical_key), rows in (
group_observations(observations).items()
):
policy = selected_policies.get(object_type)
if policy is None:
raise RuntimeError(
f"No reconciliation policy for {object_type!r}"
)
if policy.object_type != object_type:
raise RuntimeError(
f"Policy for {object_type!r} advertises "
f"{policy.object_type!r}"
)
desired.append(policy.reconcile(logical_key, rows))
return desired
def build_endpoint_plans(
adapters: Iterable[PlanningAdapter],
desired_objects: Iterable[NormalizedObject],
observations: Iterable[Observation],
) -> tuple[EndpointPlan, ...]:
desired_by_identity: dict[
tuple[str, str],
NormalizedObject,
] = {}
for desired in desired_objects:
if desired.local_key is not None:
raise RuntimeError(
"Desired objects in plans cannot contain "
"an endpoint-local key"
)
identity = (
desired.object_type,
desired.logical_key,
)
if identity in desired_by_identity:
raise RuntimeError(
"Duplicate desired object identity: "
f"{desired.object_type} {desired.logical_key}"
)
desired_by_identity[identity] = desired
current_by_identity: dict[
tuple[str, str, str],
list[Observation],
] = defaultdict(list)
for observation in observations:
current_by_identity[
(
observation.endpoint_id,
observation.object.object_type,
observation.object.logical_key,
)
].append(observation)
adapters_by_endpoint: dict[str, PlanningAdapter] = {}
for adapter in adapters:
endpoint_id = adapter.endpoint.identity
if endpoint_id in adapters_by_endpoint:
raise RuntimeError(
f"Duplicate adapter endpoint: {endpoint_id}"
)
adapters_by_endpoint[endpoint_id] = adapter
plans: list[EndpointPlan] = []
for endpoint_id, adapter in sorted(
adapters_by_endpoint.items()
):
apply_types = {
capability.object_type
for capability in adapter.capabilities
if capability.operation == CapabilityOperation.APPLY
}
if not apply_types:
continue
actions: list[PlanAction] = []
for identity, desired in sorted(
desired_by_identity.items()
):
object_type, logical_key = identity
if object_type not in apply_types:
continue
current_rows = current_by_identity.get(
(endpoint_id, object_type, logical_key),
[],
)
if len(current_rows) > 1:
raise PlanningConflict(
f"Multiple endpoint objects for {endpoint_id} "
f"{object_type} {logical_key!r}"
)
current = (
current_rows[0].object
if current_rows
else None
)
if current is None:
operation = PlanOperation.CREATE
elif current.payload == desired.payload:
operation = PlanOperation.NOOP
else:
operation = PlanOperation.UPDATE
actions.append(
PlanAction(
endpoint_id=endpoint_id,
operation=operation,
desired=desired,
current=current,
)
)
plans.append(
EndpointPlan(
endpoint_id=endpoint_id,
actions=order_plan_actions(actions),
)
)
return tuple(plans)