Implement pipeline monitoring alerts

Approve and implement the Supabase migration for the pipeline monitoring alert system. This includes expanding alert types, adding new monitoring functions, and updating existing ones with escalating thresholds.
This commit is contained in:
gpt-engineer-app[bot]
2025-11-07 05:05:32 +00:00
parent a74b8d6e74
commit d903e96e13
7 changed files with 544 additions and 20 deletions

View File

@@ -23,32 +23,28 @@ serve(async (req: Request) => {
);
// Run system maintenance (orphaned image cleanup)
const { data, error } = await supabase.rpc('run_system_maintenance');
const { data: maintenanceData, error: maintenanceError } = await supabase.rpc('run_system_maintenance');
if (error) {
edgeLogger.error('Maintenance failed', { requestId, error: error.message });
return new Response(
JSON.stringify({
success: false,
error: error.message,
requestId
}),
{
status: 500,
headers: { ...corsHeaders, 'Content-Type': 'application/json' }
}
);
if (maintenanceError) {
edgeLogger.error('Maintenance failed', { requestId, error: maintenanceError.message });
} else {
edgeLogger.info('Maintenance completed', { requestId, result: maintenanceData });
}
edgeLogger.info('Maintenance completed successfully', {
requestId,
result: data
});
// Run pipeline monitoring checks
const { data: monitoringData, error: monitoringError } = await supabase.rpc('run_pipeline_monitoring');
if (monitoringError) {
edgeLogger.error('Pipeline monitoring failed', { requestId, error: monitoringError.message });
} else {
edgeLogger.info('Pipeline monitoring completed', { requestId, result: monitoringData });
}
return new Response(
JSON.stringify({
success: true,
result: data,
maintenance: maintenanceData,
monitoring: monitoringData,
requestId
}),
{