video360-splitter/app.py

188 lines
5.8 KiB
Python

import os
import subprocess
import uuid
import shutil
from pathlib import Path
from flask import Flask, render_template, request, jsonify, send_from_directory
app = Flask(__name__)
app.config["UPLOAD_FOLDER"] = "/data/uploads"
app.config["OUTPUT_FOLDER"] = "/data/output"
app.config["MAX_CONTENT_LENGTH"] = 10 * 1024 * 1024 * 1024 # 10GB
os.makedirs(app.config["UPLOAD_FOLDER"], exist_ok=True)
os.makedirs(app.config["OUTPUT_FOLDER"], exist_ok=True)
# Track job status in memory
jobs = {}
def get_video_info(filepath):
"""Get video resolution and duration using ffprobe."""
result = subprocess.run(
[
"ffprobe", "-v", "quiet", "-print_format", "json",
"-show_format", "-show_streams", filepath
],
capture_output=True, text=True
)
import json
info = json.loads(result.stdout)
video_stream = next(
(s for s in info.get("streams", []) if s["codec_type"] == "video"), {}
)
return {
"width": int(video_stream.get("width", 0)),
"height": int(video_stream.get("height", 0)),
"duration": float(info.get("format", {}).get("duration", 0)),
"codec": video_stream.get("codec_name", "unknown"),
}
def split_video(job_id, input_path, num_views, h_fov, v_fov, output_res, overlap):
"""Run the actual FFmpeg splitting in a subprocess-friendly way."""
try:
jobs[job_id]["status"] = "processing"
job_output = os.path.join(app.config["OUTPUT_FOLDER"], job_id)
os.makedirs(job_output, exist_ok=True)
effective_fov = h_fov + overlap
step = 360 / num_views
input_info = get_video_info(input_path)
jobs[job_id]["input_info"] = input_info
processes = []
output_files = []
for i in range(num_views):
yaw = i * step
label = get_direction_label(yaw, num_views)
output_file = os.path.join(job_output, f"{label}_{int(yaw)}deg.mp4")
output_files.append(output_file)
vf = f"v360=equirect:flat:h_fov={effective_fov}:v_fov={v_fov}:yaw={yaw}"
if output_res:
vf += f",scale={output_res}"
cmd = [
"ffmpeg", "-y", "-i", input_path,
"-vf", vf,
"-c:v", "libx264", "-crf", "18", "-preset", "medium",
"-c:a", "aac", "-b:a", "192k",
output_file
]
processes.append((label, yaw, cmd, output_file))
total = len(processes)
for idx, (label, yaw, cmd, output_file) in enumerate(processes):
jobs[job_id]["current_view"] = f"{label} ({int(yaw)}°)"
jobs[job_id]["progress"] = int((idx / total) * 100)
result = subprocess.run(cmd, capture_output=True, text=True)
if result.returncode != 0:
jobs[job_id]["status"] = "error"
jobs[job_id]["error"] = f"FFmpeg error on {label}: {result.stderr[-500:]}"
return
jobs[job_id]["status"] = "complete"
jobs[job_id]["progress"] = 100
jobs[job_id]["output_files"] = [
os.path.basename(f) for f in output_files
]
except Exception as e:
jobs[job_id]["status"] = "error"
jobs[job_id]["error"] = str(e)
def get_direction_label(yaw, num_views):
"""Get a human-readable label for a yaw angle."""
if num_views == 4:
labels = {0: "front", 90: "right", 180: "back", 270: "left"}
return labels.get(int(yaw), f"view_{int(yaw)}")
elif num_views == 3:
labels = {0: "front", 120: "right", 240: "left"}
return labels.get(int(yaw), f"view_{int(yaw)}")
else:
return f"view_{int(yaw)}"
@app.route("/")
def index():
return render_template("index.html")
@app.route("/upload", methods=["POST"])
def upload():
if "video" not in request.files:
return jsonify({"error": "No video file provided"}), 400
file = request.files["video"]
if file.filename == "":
return jsonify({"error": "No file selected"}), 400
job_id = str(uuid.uuid4())[:8]
ext = Path(file.filename).suffix or ".mp4"
input_path = os.path.join(app.config["UPLOAD_FOLDER"], f"{job_id}{ext}")
file.save(input_path)
num_views = int(request.form.get("num_views", 4))
h_fov = float(request.form.get("h_fov", 360 / num_views))
v_fov = float(request.form.get("v_fov", 90))
overlap = float(request.form.get("overlap", 0))
output_res = request.form.get("output_res", "").strip()
jobs[job_id] = {
"status": "queued",
"progress": 0,
"input_file": file.filename,
"num_views": num_views,
"current_view": "",
"output_files": [],
}
# Run in a background thread
import threading
t = threading.Thread(
target=split_video,
args=(job_id, input_path, num_views, h_fov, v_fov, output_res, overlap)
)
t.daemon = True
t.start()
return jsonify({"job_id": job_id})
@app.route("/status/<job_id>")
def status(job_id):
if job_id not in jobs:
return jsonify({"error": "Job not found"}), 404
return jsonify(jobs[job_id])
@app.route("/download/<job_id>/<filename>")
def download(job_id, filename):
job_dir = os.path.join(app.config["OUTPUT_FOLDER"], job_id)
return send_from_directory(job_dir, filename, as_attachment=True)
@app.route("/cleanup/<job_id>", methods=["POST"])
def cleanup(job_id):
"""Delete uploaded and output files for a job."""
job_dir = os.path.join(app.config["OUTPUT_FOLDER"], job_id)
if os.path.exists(job_dir):
shutil.rmtree(job_dir)
# Remove upload file
for f in Path(app.config["UPLOAD_FOLDER"]).glob(f"{job_id}.*"):
f.unlink()
if job_id in jobs:
del jobs[job_id]
return jsonify({"status": "cleaned"})
if __name__ == "__main__":
app.run(host="0.0.0.0", port=5000, debug=False)