Refactor dashboard data serialization and mock context for improved clarity
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- Introduced `serialize_audit_for_response` and `serialize_current_cluster_for_template` functions to handle JSON serialization of audit and cluster data, enhancing data consistency for API responses and template rendering.
- Updated `get_mock_context` in `mock_data.py` to utilize the new serialization functions, simplifying the mock data structure and improving readability.
- Refactored `collect_context` and `collect_audits` in `views.py` to leverage the new serialization methods, ensuring a cleaner and more maintainable codebase.
- Added unit tests for the new serialization functions to ensure correctness and reliability of data formatting.
This commit is contained in:
2026-02-12 20:10:09 +03:00
parent 76eae52d2a
commit 656a6bfac4
8 changed files with 313 additions and 90 deletions

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@@ -1,6 +1,9 @@
"""Mock context for dashboard when USE_MOCK_DATA is enabled (no OpenStack/Prometheus)."""
import json
from dashboard.serializers import (
serialize_audit_for_response,
serialize_current_cluster_for_template,
)
def get_mock_context():
@@ -38,7 +41,7 @@ def get_mock_context():
cpu_current = [45.2, 38.1, 52.0, 41.3, 29.8, 32.1, 36.4, 29.2, 42.2, 41.3, 28.3, 33.3]
cpu_projected = [42.0, 40.0, 48.0, 44.0, 35.0, 46.0, 43.0, 43.0, 44.0, 48.0, 47.0, 49.0]
audits = [
audits_raw = [
{
"id": "mock-audit-uuid-1",
"name": "Mock audit (balanced)",
@@ -49,20 +52,18 @@ def get_mock_context():
"scope": "Full Cluster",
"cpu_weight": "1.0",
"ram_weight": "1.0",
"migrations": json.dumps(
[
{
"instanceName": "instance-1",
"source": "compute-0",
"destination": "compute-3",
"flavor": "m1.small",
"impact": "Low",
}
]
),
"host_labels": json.dumps(host_labels),
"cpu_current": json.dumps(cpu_current),
"cpu_projected": json.dumps(cpu_projected),
"migrations": [
{
"instanceName": "instance-1",
"source": "compute-0",
"destination": "compute-3",
"flavor": "m1.small",
"impact": "Low",
}
],
"host_labels": host_labels,
"cpu_current": cpu_current,
"cpu_projected": cpu_projected,
},
{
"id": "mock-audit-uuid-2",
@@ -74,12 +75,13 @@ def get_mock_context():
"scope": "Full Cluster",
"cpu_weight": "1.0",
"ram_weight": "1.0",
"migrations": json.dumps([]),
"host_labels": json.dumps(host_labels),
"cpu_current": json.dumps(cpu_current),
"cpu_projected": json.dumps([40.0, 42.0, 50.0, 43.0, 36.0, 45.0]),
"migrations": [],
"host_labels": host_labels,
"cpu_current": cpu_current,
"cpu_projected": [40.0, 42.0, 50.0, 43.0, 36.0, 45.0],
},
]
audits = [serialize_audit_for_response(a) for a in audits_raw]
return {
"region": {
@@ -128,8 +130,7 @@ def get_mock_context():
"third_common_flavor": {"name": "m1.large", "count": 4},
},
"audits": audits,
"current_cluster": {
"host_labels": json.dumps(host_labels),
"cpu_current": json.dumps(cpu_current),
},
"current_cluster": serialize_current_cluster_for_template(
{"host_labels": host_labels, "cpu_current": cpu_current}
),
}

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@@ -49,41 +49,81 @@ def get_current_cluster_cpu(connection: Connection) -> dict:
}
def _fetch_audits_and_action_plans(session, watcher_endpoint):
"""GET audits and action_plans from Watcher API. Returns (audits_list, action_plans_list)."""
audits_resp = session.get(f"{watcher_endpoint}/v1/audits")
audits_resp.raise_for_status()
audits_list = audits_resp.json().get("audits") or []
actionplans_resp = session.get(f"{watcher_endpoint}/v1/action_plans")
actionplans_resp.raise_for_status()
action_plans_list = actionplans_resp.json().get("action_plans") or []
return audits_list, action_plans_list
def _fetch_migrations_for_audit(
connection, session, watcher_endpoint, audit_resp, actionplan, actions_resp
):
"""
Fetch action details for the given action plan and build migrations list and
instance->destination mapping. Returns (migrations, mapping).
"""
migrations = []
mapping = {}
for action in actions_resp:
action_resp = session.get(f"{watcher_endpoint}/v1/actions/{action['uuid']}")
action_resp.raise_for_status()
action_resp = action_resp.json()
server = connection.get_server_by_id(action_resp["input_parameters"]["resource_id"])
params = action_resp["input_parameters"]
mapping[params["resource_name"]] = params["destination_node"]
migrations.append(
{
"instanceName": params["resource_name"],
"source": params["source_node"],
"destination": params["destination_node"],
"flavor": server.flavor.name,
"impact": "Low",
}
)
return migrations, mapping
def _build_projected_cpu_metrics(cpu_data, mapping):
"""
Apply instance->destination mapping to a copy of cpu_data and return
aggregated CPU metrics DataFrame (host, cpu_usage).
"""
projected_cpu_data = copy(cpu_data)
for entry in projected_cpu_data:
if (instance := entry["metric"]["instanceName"]) in mapping:
entry["metric"]["host"] = mapping[instance]
return convert_cpu_data(projected_cpu_data)
def get_audits(connection: Connection) -> list[dict] | None:
session = connection.session
watcher_endpoint = connection.endpoint_for(
service_type=WATCHER_ENDPOINT_NAME, interface=WATCHER_INTERFACE_NAME
)
# Collect instances prometheus metrics
cpu_data = query_prometheus(PROMETHEUS_METRICS["cpu_usage"])
cpu_metrics = convert_cpu_data(data=cpu_data)
# Fetch audit list
audits_resp = session.get(f"{watcher_endpoint}/v1/audits")
audits_resp.raise_for_status()
audits_resp = audits_resp.json().get("audits") or []
# Fetch action plan list
actionplans_resp = session.get(f"{watcher_endpoint}/v1/action_plans")
actionplans_resp.raise_for_status()
actionplans_resp = actionplans_resp.json().get("action_plans") or []
# Filtering audits by PENDING state
pending_audits = [plan for plan in actionplans_resp if plan["state"] == "RECOMMENDED"]
_, action_plans_list = _fetch_audits_and_action_plans(session, watcher_endpoint)
pending_audits = [plan for plan in action_plans_list if plan["state"] == "RECOMMENDED"]
result = []
for item in pending_audits:
projected_cpu_data = copy(cpu_data)
audit_resp = session.get(f"{watcher_endpoint}/v1/audits/{item['audit_uuid']}")
audit_resp.raise_for_status()
audit_resp = audit_resp.json()
actionplan = next(
filter(lambda x: x.get("audit_uuid") == audit_resp["uuid"], actionplans_resp), None
filter(lambda x: x.get("audit_uuid") == audit_resp["uuid"], action_plans_list), None
)
if actionplan is None:
continue
@@ -94,32 +134,10 @@ def get_audits(connection: Connection) -> list[dict] | None:
actions_resp.raise_for_status()
actions_resp = actions_resp.json().get("actions") or []
migrations = []
mapping = {}
for action in actions_resp:
action_resp = session.get(f"{watcher_endpoint}/v1/actions/{action['uuid']}")
action_resp.raise_for_status()
action_resp = action_resp.json()
server = connection.get_server_by_id(action_resp["input_parameters"]["resource_id"])
params = action_resp["input_parameters"]
mapping[params["resource_name"]] = params["destination_node"]
migrations.append(
{
"instanceName": action_resp["input_parameters"]["resource_name"],
"source": action_resp["input_parameters"]["source_node"],
"destination": action_resp["input_parameters"]["destination_node"],
"flavor": server.flavor.name,
"impact": "Low",
}
)
for entry in projected_cpu_data:
if (instance := entry["metric"]["instanceName"]) in mapping:
entry["metric"]["host"] = mapping[instance]
projected_cpu_metrics = convert_cpu_data(projected_cpu_data)
migrations, mapping = _fetch_migrations_for_audit(
connection, session, watcher_endpoint, audit_resp, actionplan, actions_resp
)
projected_cpu_metrics = _build_projected_cpu_metrics(cpu_data, mapping)
result.append(
{

32
dashboard/serializers.py Normal file
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@@ -0,0 +1,32 @@
"""Serialization helpers for dashboard context and API responses."""
import json
def _ensure_json_str(value):
"""Return value as JSON string; if already a string, return as-is."""
return value if isinstance(value, str) else json.dumps(value)
def serialize_audit_for_response(audit: dict) -> dict:
"""
Return a copy of the audit dict with migrations, host_labels, cpu_current,
and cpu_projected serialized as JSON strings (for template/API response).
"""
result = dict(audit)
result["migrations"] = _ensure_json_str(audit.get("migrations"))
result["host_labels"] = _ensure_json_str(audit.get("host_labels"))
result["cpu_current"] = _ensure_json_str(audit.get("cpu_current"))
result["cpu_projected"] = _ensure_json_str(audit.get("cpu_projected"))
return result
def serialize_current_cluster_for_template(current_cluster: dict) -> dict:
"""
Return current_cluster with host_labels and cpu_current as JSON strings
for template embedding (e.g. in index.html).
"""
return {
"host_labels": _ensure_json_str(current_cluster.get("host_labels")),
"cpu_current": _ensure_json_str(current_cluster.get("cpu_current")),
}

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@@ -0,0 +1,57 @@
"""Tests for dashboard.serializers."""
import json
from django.test import TestCase
from dashboard.serializers import (
serialize_audit_for_response,
serialize_current_cluster_for_template,
)
class SerializeAuditForResponseTest(TestCase):
def test_serializes_list_fields_to_json_strings(self):
audit = {
"id": "audit-1",
"name": "Test",
"migrations": [{"instanceName": "i1", "source": "h1", "destination": "h2"}],
"host_labels": ["h1", "h2"],
"cpu_current": [10.0, 20.0],
"cpu_projected": [15.0, 25.0],
}
result = serialize_audit_for_response(audit)
self.assertEqual(result["id"], "audit-1")
self.assertEqual(result["name"], "Test")
self.assertEqual(json.loads(result["migrations"]), audit["migrations"])
self.assertEqual(json.loads(result["host_labels"]), audit["host_labels"])
self.assertEqual(json.loads(result["cpu_current"]), audit["cpu_current"])
self.assertEqual(json.loads(result["cpu_projected"]), audit["cpu_projected"])
def test_leaves_already_serialized_strings_unchanged(self):
audit = {
"id": "a",
"migrations": "[1,2]",
"host_labels": "[]",
"cpu_current": "[0]",
"cpu_projected": "[0]",
}
result = serialize_audit_for_response(audit)
self.assertEqual(result["migrations"], "[1,2]")
self.assertEqual(result["host_labels"], "[]")
self.assertEqual(result["cpu_current"], "[0]")
self.assertEqual(result["cpu_projected"], "[0]")
class SerializeCurrentClusterForTemplateTest(TestCase):
def test_serializes_lists_to_json_strings(self):
cluster = {"host_labels": ["c0", "c1"], "cpu_current": [30.0, 40.0]}
result = serialize_current_cluster_for_template(cluster)
self.assertEqual(json.loads(result["host_labels"]), cluster["host_labels"])
self.assertEqual(json.loads(result["cpu_current"]), cluster["cpu_current"])
def test_leaves_already_serialized_strings_unchanged(self):
cluster = {"host_labels": "[]", "cpu_current": "[]"}
result = serialize_current_cluster_for_template(cluster)
self.assertEqual(result["host_labels"], "[]")
self.assertEqual(result["cpu_current"], "[]")

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@@ -1,5 +1,3 @@
import json
from django.conf import settings
from django.core.cache import cache
from django.http import JsonResponse
@@ -10,6 +8,10 @@ from dashboard.openstack_utils.audits import get_audits, get_current_cluster_cpu
from dashboard.openstack_utils.connect import check_openstack, get_connection
from dashboard.openstack_utils.flavor import get_flavor_list
from dashboard.prometheus_utils.query import check_prometheus, fetch_dashboard_metrics
from dashboard.serializers import (
serialize_audit_for_response,
serialize_current_cluster_for_template,
)
from dashboard.stats import (
CACHE_KEY_AUDITS,
CACHE_KEY_CURRENT_CLUSTER,
@@ -44,17 +46,9 @@ def collect_context():
audits = get_audits(connection=connection)
metrics = fetch_dashboard_metrics()
context = build_stats(metrics, region_name, flavors)
context["audits"] = audits
context["audits"] = [serialize_audit_for_response(a) for a in audits]
current_cluster = get_current_cluster_cpu(connection)
context["current_cluster"] = {
"host_labels": json.dumps(current_cluster["host_labels"]),
"cpu_current": json.dumps(current_cluster["cpu_current"]),
}
for audit in context["audits"]:
audit["migrations"] = json.dumps(audit["migrations"])
audit["host_labels"] = json.dumps(audit["host_labels"])
audit["cpu_current"] = json.dumps(audit["cpu_current"])
audit["cpu_projected"] = json.dumps(audit["cpu_projected"])
context["current_cluster"] = serialize_current_cluster_for_template(current_cluster)
return context
@@ -71,12 +65,7 @@ def collect_audits():
"""Build audits list with serialized fields for frontend."""
connection = get_connection()
audits = get_audits(connection=connection)
for audit in audits:
audit["migrations"] = json.dumps(audit["migrations"])
audit["host_labels"] = json.dumps(audit["host_labels"])
audit["cpu_current"] = json.dumps(audit["cpu_current"])
audit["cpu_projected"] = json.dumps(audit["cpu_projected"])
return audits
return [serialize_audit_for_response(a) for a in audits]
def _skeleton_context():