238 lines
8.0 KiB
Python
238 lines
8.0 KiB
Python
import asyncio
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import gc
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import io
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import mimetypes
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import urllib.parse
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from pathlib import PurePosixPath
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from time import perf_counter
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from urllib.parse import unquote
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from wsgiref.handlers import format_date_time
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import av
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import fitz # PyMuPDF
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import numpy as np
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import pillow_heif
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from PIL import Image
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from sanic import Blueprint, empty, raw
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from sanic.exceptions import NotFound
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from sanic.log import logger
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from cista import config
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from cista.util.filename import sanitize
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pillow_heif.register_heif_opener()
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bp = Blueprint("preview", url_prefix="/preview")
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# Map EXIF Orientation value to a corresponding PIL transpose
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EXIF_ORI = {
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2: Image.Transpose.FLIP_LEFT_RIGHT,
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3: Image.Transpose.ROTATE_180,
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4: Image.Transpose.FLIP_TOP_BOTTOM,
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5: Image.Transpose.TRANSPOSE,
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6: Image.Transpose.ROTATE_270,
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7: Image.Transpose.TRANSVERSE,
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8: Image.Transpose.ROTATE_90,
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}
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@bp.get("/<path:path>")
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async def preview(req, path):
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"""Preview a file"""
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maxsize = int(req.args.get("px", 1024))
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maxzoom = float(req.args.get("zoom", 2.0))
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quality = int(req.args.get("q", 60))
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rel = PurePosixPath(sanitize(unquote(path)))
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path = config.config.path / rel
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stat = path.lstat()
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etag = config.derived_secret(
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"preview", rel, stat.st_mtime_ns, quality, maxsize, maxzoom
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).hex()
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savename = PurePosixPath(path.name).with_suffix(".avif")
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headers = {
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"etag": etag,
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"last-modified": format_date_time(stat.st_mtime),
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"cache-control": "max-age=604800, immutable"
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+ ("" if config.config.public else ", private"),
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"content-type": "image/avif",
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"content-disposition": f"inline; filename*=UTF-8''{urllib.parse.quote(savename.as_posix())}",
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}
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if req.headers.if_none_match == etag:
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# The client has it cached, respond 304 Not Modified
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return empty(304, headers=headers)
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if not path.is_file():
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raise NotFound("File not found")
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img = await asyncio.get_event_loop().run_in_executor(
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req.app.ctx.threadexec, dispatch, path, quality, maxsize, maxzoom
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)
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return raw(img, headers=headers)
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def dispatch(path, quality, maxsize, maxzoom):
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if path.suffix.lower() in (".pdf", ".xps", ".epub", ".mobi"):
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return process_pdf(path, quality=quality, maxsize=maxsize, maxzoom=maxzoom)
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type, _ = mimetypes.guess_type(path.name)
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if type and type.startswith("video/"):
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return process_video(path, quality=quality, maxsize=maxsize)
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return process_image(path, quality=quality, maxsize=maxsize)
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def process_image(path, *, maxsize, quality):
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t_load = perf_counter()
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with Image.open(path) as img:
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# Force decode to include I/O in load timing
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img.load()
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t_proc = perf_counter()
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# Resize
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w, h = img.size
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img.thumbnail((min(w, maxsize), min(h, maxsize)))
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# Transpose pixels according to EXIF Orientation
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orientation = img.getexif().get(274, 1)
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if orientation in EXIF_ORI:
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img = img.transpose(EXIF_ORI[orientation])
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# Save as AVIF
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imgdata = io.BytesIO()
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t_save = perf_counter()
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img.save(imgdata, format="avif", quality=quality, speed=10, max_threads=1)
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t_end = perf_counter()
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ret = imgdata.getvalue()
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load_ms = (t_proc - t_load) * 1000
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proc_ms = (t_save - t_proc) * 1000
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save_ms = (t_end - t_save) * 1000
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logger.debug(
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"Preview image %s: load=%.1fms process=%.1fms save=%.1fms",
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path.name,
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load_ms,
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proc_ms,
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save_ms,
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)
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return ret
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def process_pdf(path, *, maxsize, maxzoom, quality, page_number=0):
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t_load_start = perf_counter()
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pdf = fitz.open(path)
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page = pdf.load_page(page_number)
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w, h = page.rect[2:4]
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zoom = min(maxsize / w, maxsize / h, maxzoom)
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mat = fitz.Matrix(zoom, zoom)
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pix = page.get_pixmap(matrix=mat) # type: ignore[attr-defined]
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t_load_end = perf_counter()
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t_save_start = perf_counter()
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ret = pix.pil_tobytes(format="avif", quality=quality, speed=10, max_threads=1)
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t_save_end = perf_counter()
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logger.debug(
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"Preview pdf %s: load+render=%.1fms save=%.1fms",
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path.name,
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(t_load_end - t_load_start) * 1000,
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(t_save_end - t_save_start) * 1000,
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)
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return ret
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def process_video(path, *, maxsize, quality):
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frame = None
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imgdata = io.BytesIO()
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istream = ostream = icc = occ = frame = None
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t_load_start = perf_counter()
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# Initialize to avoid "possibly unbound" in static analysis when exceptions occur
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t_load_end = t_load_start
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t_save_start = t_load_start
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t_save_end = t_load_start
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with (
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av.open(str(path)) as icontainer,
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av.open(imgdata, "w", format="avif") as ocontainer,
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):
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istream = icontainer.streams.video[0]
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istream.codec_context.skip_frame = "NONKEY"
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icontainer.seek((icontainer.duration or 0) // 8)
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for frame in icontainer.decode(istream):
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if frame.dts is not None:
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break
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else:
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raise RuntimeError("No frames found in video")
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# Resize frame to thumbnail size
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if frame.width > maxsize or frame.height > maxsize:
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scale_factor = min(maxsize / frame.width, maxsize / frame.height)
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new_width = int(frame.width * scale_factor)
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new_height = int(frame.height * scale_factor)
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frame = frame.reformat(width=new_width, height=new_height)
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# Simple rotation detection and logging
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if frame.rotation:
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try:
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fplanes = frame.to_ndarray()
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# Split into Y, U, V planes of proper dimensions
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planes = [
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fplanes[: frame.height],
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fplanes[frame.height : frame.height + frame.height // 4].reshape(
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frame.height // 2, frame.width // 2
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),
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fplanes[frame.height + frame.height // 4 :].reshape(
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frame.height // 2, frame.width // 2
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),
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]
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# Rotate
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planes = [np.rot90(p, frame.rotation // 90) for p in planes]
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# Restore PyAV format
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planes = np.hstack([p.flat for p in planes]).reshape(
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-1, planes[0].shape[1]
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)
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frame = av.VideoFrame.from_ndarray(planes, format=frame.format.name)
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del planes, fplanes
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except Exception as e:
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if "not yet supported" in str(e):
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logger.warning(
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f"Not rotating {path.name} preview image by {frame.rotation}°:\n PyAV: {e}"
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)
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else:
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logger.exception(f"Error rotating video frame: {e}")
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t_load_end = perf_counter()
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t_save_start = perf_counter()
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crf = str(int(63 * (1 - quality / 100) ** 2)) # Closely matching PIL quality-%
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ostream = ocontainer.add_stream(
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"av1",
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options={
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"crf": crf,
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"usage": "realtime",
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"cpu-used": "8",
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"threads": "1",
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},
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)
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assert isinstance(ostream, av.VideoStream)
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ostream.width = frame.width
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ostream.height = frame.height
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icc = istream.codec_context
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occ = ostream.codec_context
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# Copy HDR metadata from input video stream
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occ.color_primaries = icc.color_primaries
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occ.color_trc = icc.color_trc
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occ.colorspace = icc.colorspace
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occ.color_range = icc.color_range
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ocontainer.mux(ostream.encode(frame))
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ocontainer.mux(ostream.encode(None)) # Flush the stream
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t_save_end = perf_counter()
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# Capture frame dimensions before cleanup
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ret = imgdata.getvalue()
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logger.debug(
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"Preview video %s: load+decode=%.1fms save=%.1fms",
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path.name,
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(t_load_end - t_load_start) * 1000,
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(t_save_end - t_save_start) * 1000,
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)
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del imgdata, istream, ostream, icc, occ, frame
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gc.collect()
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return ret
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