This commit is contained in:
Desktop
2025-11-12 04:54:12 +05:00
parent b132099e66
commit 4373657147
4 changed files with 190 additions and 80 deletions

View File

@@ -55,9 +55,23 @@ export default function ImageQueueModal({
useEffect(() => {
if (!isOpen || !taskId) return;
let pollAttempts = 0;
const maxPollAttempts = 300; // 5 minutes max (300 * 1 second)
const pollInterval = setInterval(async () => {
pollAttempts++;
// Stop polling after max attempts
if (pollAttempts > maxPollAttempts) {
console.warn('Polling timeout reached, stopping');
clearInterval(pollInterval);
return;
}
try {
console.log(`[ImageQueueModal] Polling task status (attempt ${pollAttempts}):`, taskId);
const data = await fetchAPI(`/v1/system/settings/task_progress/${taskId}/`);
console.log(`[ImageQueueModal] Task status response:`, data);
// Check if data is valid (not HTML error page)
if (!data || typeof data !== 'object') {
@@ -67,14 +81,18 @@ export default function ImageQueueModal({
// Check state (task_progress returns 'state', not 'status')
const taskState = data.state || data.status;
console.log(`[ImageQueueModal] Task state:`, taskState);
if (taskState === 'SUCCESS' || taskState === 'FAILURE') {
console.log(`[ImageQueueModal] Task completed with state:`, taskState);
clearInterval(pollInterval);
// Update final state
if (taskState === 'SUCCESS' && data.result) {
console.log(`[ImageQueueModal] Updating queue from result:`, data.result);
updateQueueFromTaskResult(data.result);
} else if (taskState === 'SUCCESS' && data.meta && data.meta.result) {
// Some responses have result in meta
console.log(`[ImageQueueModal] Updating queue from meta result:`, data.meta.result);
updateQueueFromTaskResult(data.meta.result);
}
return;
@@ -82,7 +100,10 @@ export default function ImageQueueModal({
// Update progress from task meta
if (data.meta) {
console.log(`[ImageQueueModal] Updating queue from meta:`, data.meta);
updateQueueFromTaskMeta(data.meta);
} else {
console.log(`[ImageQueueModal] No meta data in response`);
}
} catch (error: any) {
// Check if it's a JSON parse error (HTML response) or API error

View File

@@ -16,10 +16,38 @@ import { useToast } from '../../components/ui/toast/ToastContainer';
import { FileIcon, DownloadIcon, BoltIcon } from '../../icons';
import { createImagesPageConfig } from '../../config/pages/images.config';
import ImageQueueModal, { ImageQueueItem } from '../../components/common/ImageQueueModal';
import { useResourceDebug } from '../../hooks/useResourceDebug';
export default function Images() {
const toast = useToast();
// Resource Debug toggle - controls AI Function Logs
const resourceDebugEnabled = useResourceDebug();
// AI Function Logs state
const [aiLogs, setAiLogs] = useState<Array<{
timestamp: string;
type: 'request' | 'success' | 'error' | 'step';
action: string;
data: any;
stepName?: string;
percentage?: number;
}>>([]);
// Helper function to add log entry (only if Resource Debug is enabled)
const addAiLog = useCallback((log: {
timestamp: string;
type: 'request' | 'success' | 'error' | 'step';
action: string;
data: any;
stepName?: string;
percentage?: number;
}) => {
if (resourceDebugEnabled) {
setAiLogs(prev => [...prev, log]);
}
}, [resourceDebugEnabled]);
// Data state
const [images, setImages] = useState<ContentImagesGroup[]>([]);
const [loading, setLoading] = useState(true);
@@ -237,16 +265,35 @@ export default function Images() {
console.log('[Generate Images] Max in-article images from settings:', maxInArticleImages);
// STAGE 2: Start actual generation
addAiLog({
timestamp: new Date().toISOString(),
type: 'request',
action: 'generate_images',
data: { imageIds, contentId, totalImages: imageIds.length }
});
const result = await generateImages(imageIds, contentId);
if (result.success && result.task_id) {
// Task started successfully - polling will be handled by ImageQueueModal
setTaskId(result.task_id);
console.log('[Generate Images] Stage 2: Task started with ID:', result.task_id);
addAiLog({
timestamp: new Date().toISOString(),
type: 'success',
action: 'generate_images',
data: { task_id: result.task_id, message: 'Task queued successfully' }
});
} else {
toast.error(result.error || 'Failed to start image generation');
setIsQueueModalOpen(false);
setTaskId(null);
addAiLog({
timestamp: new Date().toISOString(),
type: 'error',
action: 'generate_images',
data: { error: result.error || 'Failed to start image generation' }
});
}
} catch (error: any) {
@@ -354,6 +401,74 @@ export default function Images() {
taskId={taskId}
onUpdateQueue={setImageQueue}
/>
{/* AI Function Logs - Display below table (only when Resource Debug is enabled) */}
{resourceDebugEnabled && aiLogs.length > 0 && (
<div className="mt-6 bg-gray-50 dark:bg-gray-800 rounded-lg border border-gray-200 dark:border-gray-700 p-4">
<div className="flex items-center justify-between mb-3">
<h3 className="text-sm font-semibold text-gray-900 dark:text-gray-100">
AI Function Logs
</h3>
<button
onClick={() => setAiLogs([])}
className="text-xs text-gray-500 hover:text-gray-700 dark:text-gray-400 dark:hover:text-gray-200"
>
Clear Logs
</button>
</div>
<div className="space-y-2 max-h-96 overflow-y-auto">
{aiLogs.slice().reverse().map((log, index) => (
<div
key={index}
className={`p-3 rounded border text-xs font-mono ${
log.type === 'request'
? 'bg-blue-50 dark:bg-blue-900/20 border-blue-200 dark:border-blue-800'
: log.type === 'success'
? 'bg-green-50 dark:bg-green-900/20 border-green-200 dark:border-green-800'
: log.type === 'error'
? 'bg-red-50 dark:bg-red-900/20 border-red-200 dark:border-red-800'
: 'bg-purple-50 dark:bg-purple-900/20 border-purple-200 dark:border-purple-800'
}`}
>
<div className="flex items-center justify-between mb-1">
<div className="flex items-center gap-2 flex-wrap">
<span className={`font-semibold ${
log.type === 'request'
? 'text-blue-700 dark:text-blue-300'
: log.type === 'success'
? 'text-green-700 dark:text-green-300'
: log.type === 'error'
? 'text-red-700 dark:text-red-300'
: 'text-purple-700 dark:text-purple-300'
}`}>
[{log.type.toUpperCase()}]
</span>
<span className="text-gray-700 dark:text-gray-300">
{log.action}
</span>
{log.stepName && (
<span className="text-xs px-2 py-0.5 rounded bg-gray-200 dark:bg-gray-700 text-gray-600 dark:text-gray-400">
{log.stepName}
</span>
)}
{log.percentage !== undefined && (
<span className="text-xs text-gray-500 dark:text-gray-400">
{log.percentage}%
</span>
)}
</div>
<span className="text-gray-500 dark:text-gray-400">
{new Date(log.timestamp).toLocaleTimeString()}
</span>
</div>
<pre className="text-xs text-gray-700 dark:text-gray-300 whitespace-pre-wrap break-words">
{JSON.stringify(log.data, null, 2)}
</pre>
</div>
))}
</div>
</div>
)}
</>
);
}