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59c8ea3f8f
- Introduce `cnpg_placement.py` to handle round-robin node assignments for CloudNativePG clusters. - Implement persistent placement plans with schema normalization and hashing. - Add `load_cnpg_placement_plan` and `save_cnpg_placement_plan` for plan persistence. - Integrate planner with installer to support node-based topology configuration. - Update `actions.py` with placement planning logic, including rebalance support and node eligibility checks. - Extend shell utilities (`init_cloudnative_pg.sh`) for placement-aware CNPG topology adjustments. - Add comprehensive unit tests and integration tests for planner functionality, persistence, and shell environment exports.
108 lines
3.7 KiB
Python
108 lines
3.7 KiB
Python
from __future__ import annotations
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from knoe.core.cnpg_placement import (
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load_cnpg_placement_plan,
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plan_cnpg_placement,
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save_cnpg_placement_plan,
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)
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class TestCnpgPlacementPlanner:
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def test_deterministic_eligible_node_ordering_and_round_robin(self):
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plan = plan_cnpg_placement(
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cluster_name="knoe-db",
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desired_instances=5,
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candidate_nodes=[" db-b ", "db-a", "db-b", "db-c"],
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)
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assert plan["eligible_nodes"] == ["db-a", "db-b", "db-c"]
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assert plan["assignments"] == {
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"0": "db-a",
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"1": "db-b",
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"2": "db-c",
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"3": "db-a",
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"4": "db-b",
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}
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def test_reuses_persisted_plan_when_still_valid(self):
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prior = plan_cnpg_placement(
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cluster_name="knoe-db",
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desired_instances=3,
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candidate_nodes=["db-a", "db-b"],
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)
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plan = plan_cnpg_placement(
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cluster_name="knoe-db",
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desired_instances=3,
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candidate_nodes=["db-b", "db-a", "db-c"],
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prior_plan=prior,
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)
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assert plan["metadata"]["reused"] is True
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assert plan["metadata"]["regenerated"] is False
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# New eligible node must not reshuffle existing ordinals.
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assert plan["assignments"] == prior["assignments"]
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def test_regenerates_when_assigned_node_becomes_ineligible(self):
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prior = {
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"cluster_name": "knoe-db",
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"assignments": {"0": "db-a", "1": "db-b", "2": "db-a"},
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}
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plan = plan_cnpg_placement(
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cluster_name="knoe-db",
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desired_instances=3,
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candidate_nodes=["db-a", "db-c"],
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prior_plan=prior,
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)
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assert plan["metadata"]["regenerated"] is True
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assert plan["metadata"]["reason"] == "assigned_node_no_longer_eligible"
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assert set(plan["assignments"].values()) <= {"db-a", "db-c"}
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def test_rebalance_regenerates_even_with_valid_prior(self):
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prior = {
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"cluster_name": "knoe-db",
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"assignments": {"0": "db-a", "1": "db-a", "2": "db-a"},
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}
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plan = plan_cnpg_placement(
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cluster_name="knoe-db",
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desired_instances=3,
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candidate_nodes=["db-a", "db-b", "db-c"],
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prior_plan=prior,
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rebalance=True,
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)
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assert plan["metadata"]["regenerated"] is True
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assert plan["metadata"]["reason"] == "rebalance_requested"
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assert plan["assignments"] == {"0": "db-a", "1": "db-b", "2": "db-c"}
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def test_graceful_when_fewer_eligible_nodes_than_instances(self):
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plan = plan_cnpg_placement(
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cluster_name="knoe-db",
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desired_instances=4,
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candidate_nodes=["db-a"],
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)
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assert plan["assignments"] == {
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"0": "db-a",
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"1": "db-a",
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"2": "db-a",
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"3": "db-a",
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}
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class TestCnpgPlacementPersistence:
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def test_persisted_plan_can_be_reloaded_and_reused(self, tmp_path):
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plan_path = tmp_path / "cnpg-placement" / "knoe-system-knoe-db.json"
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initial = plan_cnpg_placement(
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cluster_name="knoe-db",
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desired_instances=3,
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candidate_nodes=["db-a", "db-b"],
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)
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save_cnpg_placement_plan(plan_path, initial)
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prior = load_cnpg_placement_plan(plan_path)
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assert prior is not None
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reused = plan_cnpg_placement(
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cluster_name="knoe-db",
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desired_instances=3,
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candidate_nodes=["db-a", "db-b", "db-c"],
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prior_plan=prior,
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)
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assert reused["metadata"]["reused"] is True
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assert reused["assignments"] == initial["assignments"]
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