upload feedbackto server

This commit is contained in:
DigiServer Developer
2025-09-08 14:04:13 +03:00
parent 505c8e268c
commit a5ef5749b1
8 changed files with 1567 additions and 51 deletions

View File

@@ -1,3 +1,25 @@
# Player feedback API
from models.player_feedback import PlayerFeedback
# --- API route to receive player feedback ---
@app.route('/api/player-feedback', methods=['POST'])
def api_player_feedback():
data = request.get_json()
required_fields = ['player_name', 'quickconnect_code', 'message', 'status', 'timestamp']
if not all(field in data for field in required_fields):
return jsonify({'error': 'Missing required fields'}), 400
feedback = PlayerFeedback(
player_name=data['player_name'],
quickconnect_code=data['quickconnect_code'],
message=data['message'],
status=data['status'],
timestamp=data['timestamp'],
playlist_version=data.get('playlist_version'),
error_details=data.get('error_details')
)
db.session.add(feedback)
db.session.commit()
return jsonify({'success': True, 'feedback_id': feedback.id}), 200
import os
import click
import psutil

View File

@@ -2,4 +2,5 @@ from .user import User
from .player import Player
from .group import Group, group_player
from .content import Content
from .server_log import ServerLog
from .server_log import ServerLog
from .player_feedback import PlayerFeedback

View File

@@ -0,0 +1,11 @@
from extensions import db
class PlayerFeedback(db.Model):
id = db.Column(db.Integer, primary_key=True)
player_name = db.Column(db.String(255), nullable=False)
quickconnect_code = db.Column(db.String(255), nullable=False)
message = db.Column(db.Text, nullable=False)
status = db.Column(db.String(50), nullable=False)
timestamp = db.Column(db.DateTime, nullable=False)
playlist_version = db.Column(db.Integer, nullable=True)
error_details = db.Column(db.Text, nullable=True)

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@@ -223,61 +223,82 @@
<script src="https://cdn.jsdelivr.net/npm/bootstrap@5.3.0-alpha3/dist/js/bootstrap.bundle.min.js"></script>
<script>
function showStatusModal() {
console.log("Processing popup triggered");
const statusModal = new bootstrap.Modal(document.getElementById('statusModal'));
statusModal.show();
// Update status message based on media type
const mediaType = document.getElementById('media_type').value;
const statusMessage = document.getElementById('status-message');
switch(mediaType) {
case 'image':
statusMessage.textContent = 'Uploading images...';
break;
case 'video':
statusMessage.textContent = 'Uploading and processing video. This may take a while...';
break;
case 'pdf':
statusMessage.textContent = 'Converting PDF to 4K images. This may take a while...';
break;
case 'ppt':
statusMessage.textContent = 'Converting PowerPoint to images (PPTX → PDF → Images). This may take 2-5 minutes...';
break;
default:
statusMessage.textContent = 'Uploading and processing your files. Please wait...';
}
// Start system monitoring updates in modal
{% if system_info %}
startModalSystemMonitoring();
{% endif %}
// Simulate progress updates
const progressBar = document.getElementById('progress-bar');
let progress = 0;
const interval = setInterval(() => {
// For slow processes, increment more slowly
const increment = (mediaType === 'image') ? 20 : 5;
progress += increment;
if (progress >= 100) {
clearInterval(interval);
statusMessage.textContent = 'Files uploaded and processed successfully!';
// Stop system monitoring updates
{% if system_info %}
stopModalSystemMonitoring();
{% endif %}
// Enable the close button
document.querySelector('[data-bs-dismiss="modal"]').disabled = false;
} else {
progressBar.style.width = `${progress}%`;
progressBar.setAttribute('aria-valuenow', progress);
if (mediaType === 'video') {
statusMessage.textContent = 'Uploading video...';
// Stage 1: Uploading (0-40%)
let uploadInterval = setInterval(() => {
progress += 8;
if (progress >= 40) {
clearInterval(uploadInterval);
progress = 40;
progressBar.style.width = `${progress}%`;
progressBar.setAttribute('aria-valuenow', progress);
// Stage 2: Converting
statusMessage.textContent = 'Converting video to standard format (29.97 fps, 1080p)...';
let convertProgress = 40;
let convertInterval = setInterval(() => {
convertProgress += 3;
progressBar.style.width = `${convertProgress}%`;
progressBar.setAttribute('aria-valuenow', convertProgress);
if (convertProgress >= 100) {
clearInterval(convertInterval);
statusMessage.textContent = 'Video uploaded and converted successfully!';
// Stop system monitoring updates
{% if system_info %}
stopModalSystemMonitoring();
{% endif %}
document.querySelector('[data-bs-dismiss="modal"]').disabled = false;
}
}, 600);
} else {
progressBar.style.width = `${progress}%`;
progressBar.setAttribute('aria-valuenow', progress);
}
}, 400);
} else {
// Default for other media types
switch(mediaType) {
case 'image':
statusMessage.textContent = 'Uploading images...';
break;
case 'pdf':
statusMessage.textContent = 'Converting PDF to 4K images. This may take a while...';
break;
case 'ppt':
statusMessage.textContent = 'Converting PowerPoint to images (PPTX → PDF → Images). This may take 2-5 minutes...';
break;
default:
statusMessage.textContent = 'Uploading and processing your files. Please wait...';
}
}, 500);
// Simulate progress updates
let interval = setInterval(() => {
const increment = (mediaType === 'image') ? 20 : 5;
progress += increment;
if (progress >= 100) {
clearInterval(interval);
statusMessage.textContent = 'Files uploaded and processed successfully!';
{% if system_info %}
stopModalSystemMonitoring();
{% endif %}
document.querySelector('[data-bs-dismiss="modal"]').disabled = false;
} else {
progressBar.style.width = `${progress}%`;
progressBar.setAttribute('aria-valuenow', progress);
}
}, 500);
}
}
{% if system_info %}

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@@ -1,4 +1,4 @@
import os
import os
import subprocess
from flask import Flask
from werkzeug.utils import secure_filename
@@ -56,8 +56,39 @@ def convert_video(input_file, output_folder):
return input_file
def convert_video_and_update_playlist(app, file_path, original_filename, target_type, target_id, duration):
print(f"Video conversion skipped for: {file_path}")
return None
import shutil
import tempfile
print(f"Starting video normalization for: {file_path}")
# Only process .mp4 files
if not file_path.lower().endswith('.mp4'):
print(f"Skipping non-mp4 file: {file_path}")
return None
# Prepare temp output file
temp_dir = tempfile.gettempdir()
temp_output = os.path.join(temp_dir, f"normalized_{os.path.basename(file_path)}")
ffmpeg_cmd = [
'ffmpeg', '-y', '-i', file_path,
'-c:v', 'libx264', '-profile:v', 'main',
# Bitrate is not forced, so we allow lower bitrates
'-vf', 'scale=1920:1080,fps=29.97',
'-c:a', 'copy',
temp_output
]
print(f"Running ffmpeg: {' '.join(ffmpeg_cmd)}")
try:
result = subprocess.run(ffmpeg_cmd, capture_output=True, text=True, timeout=1800)
if result.returncode != 0:
print(f"ffmpeg error: {result.stderr}")
return None
# Replace original file with normalized one
shutil.move(temp_output, file_path)
print(f"Video normalized and replaced: {file_path}")
except Exception as e:
print(f"Error during video normalization: {e}")
return None
# No need to update playlist, as filename remains the same
return True
# PDF conversion functions
def convert_pdf_to_images(pdf_file, output_folder, delete_pdf=True, dpi=300):