Merge pull request 'Agent: huge-image load + figure/region caps + stale-active fix' (#171) from dev into main
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This commit was merged in pull request #171.
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@@ -15,7 +15,7 @@ from .worker import Worker
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# Bump on every agent change. The page embeds this and /status reports it; the UI
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# warns to reload when they differ — so a stale browser-cached page can't be
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# mistaken for "the new image didn't deploy". (Belt-and-braces with no-store.)
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VERSION = "2026-06-30.7 · ubuntu24.04-py312-cuda12.9"
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VERSION = "2026-06-30.9 · region-caps + active-reset"
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logbuf.install()
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cfg = Config.from_env()
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@@ -34,6 +34,8 @@ class Config:
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panel_conf: float
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max_components: int # cap anatomy component crops per frame
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max_panels: int # cap panel crops per frame
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max_figures: int # cap figure boxes per frame (each = a CCIP call + crop)
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max_regions: int # hard cap on total regions per JOB (submit-size backstop)
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@classmethod
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def from_env(cls) -> Config:
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@@ -58,4 +60,6 @@ class Config:
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panel_conf=float(os.environ.get("PANEL_CONF", "0.30")),
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max_components=int(os.environ.get("MAX_COMPONENTS", "8")),
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max_panels=int(os.environ.get("MAX_PANELS", "8")),
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max_figures=int(os.environ.get("MAX_FIGURES", "8")),
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max_regions=int(os.environ.get("MAX_REGIONS", "128")),
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)
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@@ -144,11 +144,14 @@ class Proposers:
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def figures(self, image, base_boxes):
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"""Merge imgutils person boxes (base_boxes: [(bbox, score)]) with the
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general COCO person detector → NMS'd figure boxes [(bbox, score, label)]."""
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general COCO person detector → NMS'd figure boxes [(bbox, score, label)],
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capped to the highest-scoring max_figures. Uncapped, a busy/huge image
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(many characters) yields hundreds of boxes → hundreds of per-figure CCIP
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calls + crops → a 30s+ job and an oversized submit (operator-flagged)."""
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boxes = [(bb, sc if sc is not None else 1.0, "person") for bb, sc in base_boxes]
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if self._person is not None:
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boxes += self._person.detect(image)
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return nms_merge(boxes)
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return nms_merge(boxes)[: self.cfg.max_figures] # nms_merge is score-desc
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def components(self, image):
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if self._anatomy is None:
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@@ -13,6 +13,13 @@ from PIL import Image, ImageFile
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# and would otherwise fail the job 3× then error (operator-flagged 2026-06-30).
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ImageFile.LOAD_TRUNCATED_IMAGES = True
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# Disable PIL's decompression-bomb guard: this is a TRUSTED local library, not an
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# untrusted upload surface, so a legitimately huge image (high-res scans/prints,
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# 90M+ pixels) must load. The default 89M-pixel limit only WARNS, but PIL raises
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# DecompressionBombError at 2× (~179M px) — which would fail those jobs outright
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# (operator-flagged 2026-06-30, images of 90–95M px).
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Image.MAX_IMAGE_PIXELS = None
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def is_video(mime: str) -> bool:
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return bool(mime) and (mime.startswith("video/") or mime in {"image/gif"})
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@@ -210,6 +210,8 @@ class Worker:
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self._ctrl_stop.set()
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with self._lock:
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slots, self._slots = self._slots, []
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self._active = 0 # no slots left → the meter reads 0 at once; any
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# lagging decrement is clamped (see _bump)
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for s in slots:
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s.stop.set() # each slot releases its inflight on exit
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@@ -265,7 +267,9 @@ class Worker:
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self.processed += processed
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self.errors += errors
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self.transient += transient
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self._active += active
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# Clamp at 0: a Stop resets _active to 0, so a slot that was mid-image
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# decrements afterwards — that must not drive the meter negative.
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self._active = max(0, self._active + active)
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# --- per-slot loop -----------------------------------------------------
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def _loop(self, slot: _Slot):
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@@ -556,6 +560,17 @@ class Worker:
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tmpl["embedding_version"] = embed_version
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regions.append(tmpl)
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self._record("gpu", time.monotonic() - _t_gpu)
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# Backstop: never submit an unbounded pile of regions (a pathological
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# image / long video). Keep the highest-scoring max_regions so the
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# POST body stays sane — curator rejects an oversized one with 413
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# (operator-flagged: image 81602 looped on 413).
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if len(regions) > self.cfg.max_regions:
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regions.sort(key=lambda r: r.get("score", 0.0) or 0.0, reverse=True)
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dropped = len(regions) - self.cfg.max_regions
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regions = regions[: self.cfg.max_regions]
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log.info("job %s: capped regions %d→%d (dropped %d)",
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job.get("job_id"), len(regions) + dropped,
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len(regions), dropped)
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_t = time.monotonic()
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self.client.submit(job["job_id"], regions, replace_kinds)
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self._record("submit", time.monotonic() - _t)
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