Merge pull request 'fix(agent): stream videos via ffmpeg-from-URL (no full download) — env-agnostic' (#181) from dev into main
Build images / sign-extension (push) Successful in 2s
CI / lint (push) Successful in 3s
Build images / build-ml (push) Successful in 7s
Build images / build-agent (push) Successful in 7s
Build images / build-web (push) Successful in 6s
CI / frontend-build (push) Successful in 19s
CI / backend-lint-and-test (push) Successful in 26s
CI / integration (push) Successful in 3m27s

This commit was merged in pull request #181.
This commit is contained in:
2026-07-01 14:20:53 -04:00
5 changed files with 82 additions and 32 deletions
+1 -1
View File
@@ -17,7 +17,7 @@ from .worker import Worker
# Bump on every agent change. The page embeds this and /status reports it; the UI # Bump on every agent change. The page embeds this and /status reports it; the UI
# warns to reload when they differ — so a stale browser-cached page can't be # warns to reload when they differ — so a stale browser-cached page can't be
# mistaken for "the new image didn't deploy". (Belt-and-braces with no-store.) # mistaken for "the new image didn't deploy". (Belt-and-braces with no-store.)
VERSION = "2026-07-01.5 · name the real fetch-failure reason" VERSION = "2026-07-01.6 · stream videos via ffmpeg-from-URL (no full download)"
logbuf.install() logbuf.install()
cfg = Config.from_env() cfg = Config.from_env()
+10
View File
@@ -121,6 +121,16 @@ class FcClient:
r.raise_for_status() r.raise_for_status()
return r.content return r.content
def is_reachable(self) -> bool:
"""Cheap 'is curator responding at all right now?' check. Used to decide,
when a video can't be sampled, between a transient outage (keep retrying —
survives a redeploy) and an unprocessable file (fail it, don't loop)."""
try:
r = self.s.get(f"{self.base}/api/gpu/status", timeout=5)
return r.status_code < 500
except requests.RequestException:
return False
def queue_status(self) -> dict: def queue_status(self) -> dict:
# Short timeout: this backs the UI /status poll, so a busy curator must # Short timeout: this backs the UI /status poll, so a busy curator must
# not hang the page for long (the GPU meters poll /gpu separately). # not hang the page for long (the GPU meters poll /gpu separately).
+3
View File
@@ -41,6 +41,8 @@ class Config:
frame_dedupe_distance: int # video frames whose dHash differs by < this many frame_dedupe_distance: int # video frames whose dHash differs by < this many
# bits are near-duplicates, dropped before detect; # bits are near-duplicates, dropped before detect;
# higher keeps more frames, 0 disables # higher keeps more frames, 0 disables
ffmpeg_timeout: float # hard ceiling (s) for ffmpeg-from-URL video sampling;
# generous so a SLOW media link still completes
@classmethod @classmethod
def from_env(cls) -> Config: def from_env(cls) -> Config:
@@ -69,4 +71,5 @@ class Config:
max_regions=int(os.environ.get("MAX_REGIONS", "128")), max_regions=int(os.environ.get("MAX_REGIONS", "128")),
dedupe_iou=float(os.environ.get("DEDUPE_IOU", "0.85")), dedupe_iou=float(os.environ.get("DEDUPE_IOU", "0.85")),
frame_dedupe_distance=int(os.environ.get("FRAME_DEDUPE_DISTANCE", "8")), frame_dedupe_distance=int(os.environ.get("FRAME_DEDUPE_DISTANCE", "8")),
ffmpeg_timeout=float(os.environ.get("FFMPEG_TIMEOUT", "1200")),
) )
+35 -19
View File
@@ -85,32 +85,48 @@ def load_image(data: bytes) -> Image.Image:
return to_rgb(Image.open(io.BytesIO(data))) return to_rgb(Image.open(io.BytesIO(data)))
def sample_frames( # ffmpeg reconnect flags — resume a dropped HTTP transfer (a slow/contended media
data: bytes, interval_seconds: float, max_frames: int # store can cut a long stream) instead of failing the whole job. Relies only on
# HTTP + Range, which every FC deployment serves → environment-agnostic.
_RECONNECT = [
"-reconnect", "1", "-reconnect_streamed", "1",
"-reconnect_on_network_error", "1", "-reconnect_delay_max", "5",
]
def _collect_frames(
tmp: str, interval: float, cap: int
) -> list[tuple[float, Image.Image]]: ) -> list[tuple[float, Image.Image]]:
"""Extract up to max_frames frames at one-every-interval_seconds via ffmpeg. out: list[tuple[float, Image.Image]] = []
Returns [(timestamp_seconds, frame)]. Empty on failure (caller falls back).""" names = sorted(n for n in os.listdir(tmp) if n.startswith("f_"))
for i, name in enumerate(names[:cap]):
with Image.open(os.path.join(tmp, name)) as im:
out.append((round(i * interval, 2), to_rgb(im)))
return out
def sample_frames_from_url(
url: str, interval_seconds: float, max_frames: int,
*, headers: str = "", timeout: float = 1200.0,
) -> list[tuple[float, Image.Image]]:
"""Sample frames by pointing ffmpeg STRAIGHT at the media URL — it Range-reads
only the video index + up to max_frames worth of content, so the agent never
downloads the whole file (VR/4K originals run 800MB+ and would buffer ~1GB in
RAM and get cut off mid-download). Reconnect flags resume a dropped transfer;
the generous timeout lets it finish however slow the link is — completion over
speed, and environment-agnostic (any HTTP+Range source). Empty on failure."""
interval = max(0.5, float(interval_seconds or 4.0)) interval = max(0.5, float(interval_seconds or 4.0))
cap = max(1, int(max_frames or 64)) cap = max(1, int(max_frames or 64))
hdr = ["-headers", headers] if headers else []
with tempfile.TemporaryDirectory() as tmp: with tempfile.TemporaryDirectory() as tmp:
src = os.path.join(tmp, "in")
with open(src, "wb") as fh:
fh.write(data)
pattern = os.path.join(tmp, "f_%05d.jpg") pattern = os.path.join(tmp, "f_%05d.jpg")
try: try:
subprocess.run( subprocess.run(
[ ["ffmpeg", "-nostdin", "-loglevel", "error", *_RECONNECT, *hdr,
"ffmpeg", "-nostdin", "-loglevel", "error", "-i", src, "-i", url, "-vf", f"fps=1/{interval}", "-frames:v", str(cap),
"-vf", f"fps=1/{interval}", "-frames:v", str(cap), "-q:v", "3", pattern],
"-q:v", "3", pattern, check=True, timeout=timeout,
],
check=True, timeout=600,
) )
except (subprocess.SubprocessError, FileNotFoundError): except (subprocess.SubprocessError, FileNotFoundError):
return [] return []
out: list[tuple[float, Image.Image]] = [] return _collect_frames(tmp, interval, cap)
names = sorted(n for n in os.listdir(tmp) if n.startswith("f_"))
for i, name in enumerate(names[:cap]):
with Image.open(os.path.join(tmp, name)) as im:
out.append((round(i * interval, 2), to_rgb(im)))
return out
+33 -12
View File
@@ -132,6 +132,11 @@ class Worker:
def __init__(self, cfg: Config): def __init__(self, cfg: Config):
self.cfg = cfg self.cfg = cfg
self.client = FcClient(cfg.fc_url, cfg.token, cfg.agent_id) self.client = FcClient(cfg.fc_url, cfg.token, cfg.agent_id)
# Sent to ffmpeg-from-URL so video sampling works whether or not a
# deployment gates /images behind the bearer token (FC's is public).
self._auth_header = (
f"Authorization: Bearer {cfg.token}\r\n" if cfg.token else ""
)
self._lock = threading.Lock() self._lock = threading.Lock()
self._running = False self._running = False
self._auto = bool(cfg.auto_scale) # autoscale the downloader count self._auto = bool(cfg.auto_scale) # autoscale the downloader count
@@ -480,26 +485,42 @@ class Worker:
def _download_decode(self, job: dict): def _download_decode(self, job: dict):
"""Fetch the image bytes and decode → [(frame_time, PIL.Image)]. Videos """Fetch the image bytes and decode → [(frame_time, PIL.Image)]. Videos
are sampled into frames (ffmpeg). Records the download + decode timings.""" are sampled into frames (ffmpeg). Records the download + decode timings."""
_t = time.monotonic()
data = self.client.fetch_image(job["image_url"])
self._record("download", time.monotonic() - _t)
_t = time.monotonic()
if media.is_video(job.get("mime", "")): if media.is_video(job.get("mime", "")):
frames = media.sample_frames( # Stream the video: ffmpeg reads the media URL directly and Range-reads
data, job.get("frame_interval_seconds", 4.0), # only the frames it needs, so we NEVER pull the whole file (VR/4K
# originals are 800MB+ — buffering that in RAM and getting cut off
# mid-download was the failure loop). Environment-agnostic + resilient.
_t = time.monotonic()
url = f"{self.cfg.fc_url}{job['image_url']}"
frames = media.sample_frames_from_url(
url, job.get("frame_interval_seconds", 4.0),
job.get("max_frames", 64), job.get("max_frames", 64),
) or [(None, media.load_image(data))] headers=self._auth_header, timeout=self.cfg.ffmpeg_timeout,
# Temporal dedup: a near-static video sampled into many frames re-runs )
# the whole detect+embed chain on ~identical frames. Drop near-dup self._record("decode", time.monotonic() - _t)
# frames HERE (decode stage, CPU) so the GPU never sees them. if not frames:
# Couldn't sample. If curator is up, the file is unprocessable →
# a job fault (fail it, don't re-lease forever). If curator is
# unreachable, it's transient → let the loop back off + retry
# (survives a redeploy). ConnectionError is caught as transient.
if self.client.is_reachable():
raise RuntimeError("no frames sampled from video (unprocessable)")
raise requests.ConnectionError("curator unreachable during video sampling")
# Temporal dedup: a near-static video re-runs the whole detect+embed
# chain on ~identical frames — drop near-dups HERE (CPU) pre-GPU.
if len(frames) > 1 and self.cfg.frame_dedupe_distance > 0: if len(frames) > 1 and self.cfg.frame_dedupe_distance > 0:
kept = media.dedupe_frames(frames, self.cfg.frame_dedupe_distance) kept = media.dedupe_frames(frames, self.cfg.frame_dedupe_distance)
if len(kept) < len(frames): if len(kept) < len(frames):
log.info("job %s: video frames %d%d (near-dup dedup)", log.info("job %s: video frames %d%d (near-dup dedup)",
job.get("job_id"), len(frames), len(kept)) job.get("job_id"), len(frames), len(kept))
frames = kept frames = kept
else: return frames
frames = [(None, media.load_image(data))] # Stills: download the bytes and decode.
_t = time.monotonic()
data = self.client.fetch_image(job["image_url"])
self._record("download", time.monotonic() - _t)
_t = time.monotonic()
frames = [(None, media.load_image(data))]
self._record("decode", time.monotonic() - _t) self._record("decode", time.monotonic() - _t)
return frames return frames