Spaces:
Sleeping
Sleeping
Upload folder using huggingface_hub
Browse files
main.py
CHANGED
|
@@ -1,5 +1,4 @@
|
|
| 1 |
import json
|
| 2 |
-
import os
|
| 3 |
import subprocess
|
| 4 |
import tempfile
|
| 5 |
from pathlib import Path
|
|
@@ -18,6 +17,65 @@ class ProcessRequest(BaseModel):
|
|
| 18 |
api_key: str
|
| 19 |
|
| 20 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 21 |
@app.get("/health")
|
| 22 |
async def health():
|
| 23 |
ffmpeg_ok = subprocess.run(
|
|
@@ -26,24 +84,62 @@ async def health():
|
|
| 26 |
return {"status": "ok", "ffmpeg": ffmpeg_ok}
|
| 27 |
|
| 28 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 29 |
@app.post("/process")
|
| 30 |
async def process_video(req: ProcessRequest):
|
|
|
|
| 31 |
tmp_dir = tempfile.mkdtemp()
|
| 32 |
video_path = Path(tmp_dir) / f"{req.asset_id}.mp4"
|
| 33 |
cover_path = Path(tmp_dir) / f"{req.asset_id}_cover.jpg"
|
|
|
|
| 34 |
|
| 35 |
try:
|
| 36 |
# 1. Download video
|
| 37 |
-
|
| 38 |
-
async with client.stream("GET", req.video_url) as resp:
|
| 39 |
-
if resp.status_code != 200:
|
| 40 |
-
raise HTTPException(
|
| 41 |
-
status_code=400,
|
| 42 |
-
detail=f"Failed to download video: {resp.status_code}",
|
| 43 |
-
)
|
| 44 |
-
with open(video_path, "wb") as f:
|
| 45 |
-
async for chunk in resp.aiter_bytes(chunk_size=65536):
|
| 46 |
-
f.write(chunk)
|
| 47 |
|
| 48 |
# 2. Extract metadata with ffprobe
|
| 49 |
probe_result = subprocess.run(
|
|
@@ -73,7 +169,6 @@ async def process_video(req: ProcessRequest):
|
|
| 73 |
width = int(video_stream.get("width", 0)) if video_stream else 0
|
| 74 |
height = int(video_stream.get("height", 0)) if video_stream else 0
|
| 75 |
|
| 76 |
-
# Parse fps from r_frame_rate (e.g. "30/1")
|
| 77 |
fps = 0.0
|
| 78 |
if video_stream and video_stream.get("r_frame_rate"):
|
| 79 |
parts = video_stream["r_frame_rate"].split("/")
|
|
@@ -88,9 +183,9 @@ async def process_video(req: ProcessRequest):
|
|
| 88 |
"fps": fps,
|
| 89 |
}
|
| 90 |
|
| 91 |
-
# 3. Extract cover frame
|
| 92 |
seek_time = "1" if duration > 1 else "0"
|
| 93 |
-
|
| 94 |
[
|
| 95 |
"ffmpeg", "-ss", seek_time,
|
| 96 |
"-i", str(video_path),
|
|
@@ -99,8 +194,7 @@ async def process_video(req: ProcessRequest):
|
|
| 99 |
],
|
| 100 |
capture_output=True,
|
| 101 |
)
|
| 102 |
-
if
|
| 103 |
-
# Fallback to 0s
|
| 104 |
subprocess.run(
|
| 105 |
[
|
| 106 |
"ffmpeg", "-ss", "0",
|
|
@@ -111,50 +205,42 @@ async def process_video(req: ProcessRequest):
|
|
| 111 |
capture_output=True,
|
| 112 |
)
|
| 113 |
|
| 114 |
-
|
| 115 |
if cover_path.exists():
|
| 116 |
-
|
| 117 |
-
|
| 118 |
-
|
| 119 |
-
|
| 120 |
-
|
| 121 |
-
|
| 122 |
-
|
| 123 |
-
|
| 124 |
-
|
| 125 |
-
|
| 126 |
-
|
| 127 |
-
},
|
| 128 |
-
)
|
| 129 |
-
if upload_resp.status_code in (200, 201):
|
| 130 |
-
cover_asset = upload_resp.json().get("asset", {})
|
| 131 |
-
cover_id = cover_asset.get("id")
|
| 132 |
-
if cover_id:
|
| 133 |
-
cover_url = f"{req.api_url}/api/assets/{cover_id}/file"
|
| 134 |
-
|
| 135 |
-
# 5. Update original asset with metadata
|
| 136 |
async with httpx.AsyncClient(timeout=30) as client:
|
| 137 |
-
update_body = {
|
| 138 |
-
"asset_details": {
|
| 139 |
-
"cover_url": cover_url,
|
| 140 |
-
"duration": duration,
|
| 141 |
-
"width": width,
|
| 142 |
-
"height": height,
|
| 143 |
-
"media_info": json.dumps(media_info),
|
| 144 |
-
}
|
| 145 |
-
}
|
| 146 |
await client.put(
|
| 147 |
f"{req.api_url}/api/assets/{req.asset_id}",
|
| 148 |
headers={
|
| 149 |
"Authorization": f"Bearer {req.api_key}",
|
| 150 |
"Content-Type": "application/json",
|
| 151 |
},
|
| 152 |
-
json=
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 153 |
)
|
| 154 |
|
| 155 |
return {
|
| 156 |
"success": True,
|
| 157 |
"cover_url": cover_url,
|
|
|
|
| 158 |
"duration": duration,
|
| 159 |
"width": width,
|
| 160 |
"height": height,
|
|
@@ -166,8 +252,8 @@ async def process_video(req: ProcessRequest):
|
|
| 166 |
except Exception as e:
|
| 167 |
return {"success": False, "error": str(e)}
|
| 168 |
finally:
|
| 169 |
-
|
| 170 |
-
for p in (video_path, cover_path):
|
| 171 |
if p.exists():
|
| 172 |
p.unlink()
|
| 173 |
-
|
|
|
|
|
|
| 1 |
import json
|
|
|
|
| 2 |
import subprocess
|
| 3 |
import tempfile
|
| 4 |
from pathlib import Path
|
|
|
|
| 17 |
api_key: str
|
| 18 |
|
| 19 |
|
| 20 |
+
class ThumbnailRequest(BaseModel):
|
| 21 |
+
asset_id: str
|
| 22 |
+
file_url: str
|
| 23 |
+
api_url: str
|
| 24 |
+
api_key: str
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
# ββ Helpers ββββββββββββββββββββββββββββββββββββββββββββββ
|
| 28 |
+
|
| 29 |
+
|
| 30 |
+
async def _download_file(url: str, dest: Path):
|
| 31 |
+
"""Stream-download a file to disk."""
|
| 32 |
+
async with httpx.AsyncClient(timeout=120) as client:
|
| 33 |
+
async with client.stream("GET", url) as resp:
|
| 34 |
+
if resp.status_code != 200:
|
| 35 |
+
raise HTTPException(
|
| 36 |
+
status_code=400,
|
| 37 |
+
detail=f"Failed to download: {resp.status_code}",
|
| 38 |
+
)
|
| 39 |
+
with open(dest, "wb") as f:
|
| 40 |
+
async for chunk in resp.aiter_bytes(chunk_size=65536):
|
| 41 |
+
f.write(chunk)
|
| 42 |
+
|
| 43 |
+
|
| 44 |
+
def _resize_to_thumbnail(src: Path, dest: Path):
|
| 45 |
+
"""Resize image to width=300, height proportional."""
|
| 46 |
+
subprocess.run(
|
| 47 |
+
[
|
| 48 |
+
"ffmpeg", "-i", str(src),
|
| 49 |
+
"-vf", "scale=300:-1",
|
| 50 |
+
"-q:v", "3",
|
| 51 |
+
str(dest),
|
| 52 |
+
],
|
| 53 |
+
capture_output=True,
|
| 54 |
+
)
|
| 55 |
+
|
| 56 |
+
|
| 57 |
+
async def _upload_image(file_path: Path, filename: str, api_url: str, api_key: str) -> str | None:
|
| 58 |
+
"""Upload an image file to asset-service and return its file URL."""
|
| 59 |
+
if not file_path.exists():
|
| 60 |
+
return None
|
| 61 |
+
async with httpx.AsyncClient(timeout=60) as client:
|
| 62 |
+
with open(file_path, "rb") as f:
|
| 63 |
+
resp = await client.post(
|
| 64 |
+
f"{api_url}/api/assets/upload",
|
| 65 |
+
headers={"Authorization": f"Bearer {api_key}"},
|
| 66 |
+
files={"file": (filename, f, "image/jpeg")},
|
| 67 |
+
data={"type": "image", "title": filename, "app": "media_processor"},
|
| 68 |
+
)
|
| 69 |
+
if resp.status_code in (200, 201):
|
| 70 |
+
asset_id = resp.json().get("asset", {}).get("id")
|
| 71 |
+
if asset_id:
|
| 72 |
+
return f"{api_url}/api/assets/{asset_id}/file"
|
| 73 |
+
return None
|
| 74 |
+
|
| 75 |
+
|
| 76 |
+
# ββ Endpoints ββββββββββββββββββββββββββββββββββββββββββββ
|
| 77 |
+
|
| 78 |
+
|
| 79 |
@app.get("/health")
|
| 80 |
async def health():
|
| 81 |
ffmpeg_ok = subprocess.run(
|
|
|
|
| 84 |
return {"status": "ok", "ffmpeg": ffmpeg_ok}
|
| 85 |
|
| 86 |
|
| 87 |
+
@app.post("/thumbnail")
|
| 88 |
+
async def generate_thumbnail(req: ThumbnailRequest):
|
| 89 |
+
"""Generate a 300px-wide thumbnail for an image asset."""
|
| 90 |
+
tmp_dir = tempfile.mkdtemp()
|
| 91 |
+
src_path = Path(tmp_dir) / f"{req.asset_id}_src"
|
| 92 |
+
thumb_path = Path(tmp_dir) / f"{req.asset_id}_thumb.jpg"
|
| 93 |
+
|
| 94 |
+
try:
|
| 95 |
+
# 1. Download image
|
| 96 |
+
await _download_file(req.file_url, src_path)
|
| 97 |
+
|
| 98 |
+
# 2. Resize to 300px width
|
| 99 |
+
_resize_to_thumbnail(src_path, thumb_path)
|
| 100 |
+
|
| 101 |
+
# 3. Upload thumbnail
|
| 102 |
+
thumbnail_url = await _upload_image(
|
| 103 |
+
thumb_path, f"{req.asset_id}_thumb.jpg", req.api_url, req.api_key
|
| 104 |
+
)
|
| 105 |
+
|
| 106 |
+
# 4. Update asset with thumbnail_url
|
| 107 |
+
if thumbnail_url:
|
| 108 |
+
async with httpx.AsyncClient(timeout=30) as client:
|
| 109 |
+
await client.put(
|
| 110 |
+
f"{req.api_url}/api/assets/{req.asset_id}",
|
| 111 |
+
headers={
|
| 112 |
+
"Authorization": f"Bearer {req.api_key}",
|
| 113 |
+
"Content-Type": "application/json",
|
| 114 |
+
},
|
| 115 |
+
json={"asset_details": {"thumbnail_url": thumbnail_url}},
|
| 116 |
+
)
|
| 117 |
+
|
| 118 |
+
return {"success": True, "thumbnail_url": thumbnail_url}
|
| 119 |
+
|
| 120 |
+
except HTTPException:
|
| 121 |
+
raise
|
| 122 |
+
except Exception as e:
|
| 123 |
+
return {"success": False, "error": str(e)}
|
| 124 |
+
finally:
|
| 125 |
+
for p in (src_path, thumb_path):
|
| 126 |
+
if p.exists():
|
| 127 |
+
p.unlink()
|
| 128 |
+
if Path(tmp_dir).exists():
|
| 129 |
+
Path(tmp_dir).rmdir()
|
| 130 |
+
|
| 131 |
+
|
| 132 |
@app.post("/process")
|
| 133 |
async def process_video(req: ProcessRequest):
|
| 134 |
+
"""Extract cover + thumbnail + metadata from a video asset."""
|
| 135 |
tmp_dir = tempfile.mkdtemp()
|
| 136 |
video_path = Path(tmp_dir) / f"{req.asset_id}.mp4"
|
| 137 |
cover_path = Path(tmp_dir) / f"{req.asset_id}_cover.jpg"
|
| 138 |
+
thumb_path = Path(tmp_dir) / f"{req.asset_id}_thumb.jpg"
|
| 139 |
|
| 140 |
try:
|
| 141 |
# 1. Download video
|
| 142 |
+
await _download_file(req.video_url, video_path)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 143 |
|
| 144 |
# 2. Extract metadata with ffprobe
|
| 145 |
probe_result = subprocess.run(
|
|
|
|
| 169 |
width = int(video_stream.get("width", 0)) if video_stream else 0
|
| 170 |
height = int(video_stream.get("height", 0)) if video_stream else 0
|
| 171 |
|
|
|
|
| 172 |
fps = 0.0
|
| 173 |
if video_stream and video_stream.get("r_frame_rate"):
|
| 174 |
parts = video_stream["r_frame_rate"].split("/")
|
|
|
|
| 183 |
"fps": fps,
|
| 184 |
}
|
| 185 |
|
| 186 |
+
# 3. Extract cover frame (full resolution)
|
| 187 |
seek_time = "1" if duration > 1 else "0"
|
| 188 |
+
result = subprocess.run(
|
| 189 |
[
|
| 190 |
"ffmpeg", "-ss", seek_time,
|
| 191 |
"-i", str(video_path),
|
|
|
|
| 194 |
],
|
| 195 |
capture_output=True,
|
| 196 |
)
|
| 197 |
+
if result.returncode != 0:
|
|
|
|
| 198 |
subprocess.run(
|
| 199 |
[
|
| 200 |
"ffmpeg", "-ss", "0",
|
|
|
|
| 205 |
capture_output=True,
|
| 206 |
)
|
| 207 |
|
| 208 |
+
# 4. Generate 300px thumbnail from cover
|
| 209 |
if cover_path.exists():
|
| 210 |
+
_resize_to_thumbnail(cover_path, thumb_path)
|
| 211 |
+
|
| 212 |
+
# 5. Upload cover + thumbnail
|
| 213 |
+
cover_url = await _upload_image(
|
| 214 |
+
cover_path, f"{req.asset_id}_cover.jpg", req.api_url, req.api_key
|
| 215 |
+
)
|
| 216 |
+
thumbnail_url = await _upload_image(
|
| 217 |
+
thumb_path, f"{req.asset_id}_thumb.jpg", req.api_url, req.api_key
|
| 218 |
+
)
|
| 219 |
+
|
| 220 |
+
# 6. Update original asset
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 221 |
async with httpx.AsyncClient(timeout=30) as client:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 222 |
await client.put(
|
| 223 |
f"{req.api_url}/api/assets/{req.asset_id}",
|
| 224 |
headers={
|
| 225 |
"Authorization": f"Bearer {req.api_key}",
|
| 226 |
"Content-Type": "application/json",
|
| 227 |
},
|
| 228 |
+
json={
|
| 229 |
+
"asset_details": {
|
| 230 |
+
"cover_url": cover_url,
|
| 231 |
+
"thumbnail_url": thumbnail_url,
|
| 232 |
+
"duration": duration,
|
| 233 |
+
"width": width,
|
| 234 |
+
"height": height,
|
| 235 |
+
"media_info": json.dumps(media_info),
|
| 236 |
+
}
|
| 237 |
+
},
|
| 238 |
)
|
| 239 |
|
| 240 |
return {
|
| 241 |
"success": True,
|
| 242 |
"cover_url": cover_url,
|
| 243 |
+
"thumbnail_url": thumbnail_url,
|
| 244 |
"duration": duration,
|
| 245 |
"width": width,
|
| 246 |
"height": height,
|
|
|
|
| 252 |
except Exception as e:
|
| 253 |
return {"success": False, "error": str(e)}
|
| 254 |
finally:
|
| 255 |
+
for p in (video_path, cover_path, thumb_path):
|
|
|
|
| 256 |
if p.exists():
|
| 257 |
p.unlink()
|
| 258 |
+
if Path(tmp_dir).exists():
|
| 259 |
+
Path(tmp_dir).rmdir()
|