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submmit/modelhub_submmit_api/profile_admission.py

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"""Bound unproven sibling routes while awaiting actual validation results."""
from collections import Counter
from typing import Any
def profile_key(row: dict[str, Any]) -> tuple[str, ...] | None:
profile = row.get("preflightMetadata") or row.get("modelProfile") or {}
model_type = str(profile.get("modelType") or "").strip()
if not model_type:
return None
return (str(row.get("targetGpu") or row.get("gpuType") or ""),
str(row.get("framework") or ""), str(row.get("taskType") or ""),
model_type, str(profile.get("quantizationSignature") or profile.get("quantizationMethod") or "none"))
def filter_profile_batch(candidates, pending, stats, *, limit=2):
"""Reservations include the whole proposed batch; deferred rows are retryable.
Broad public framework statistics are not proof for a specific encoding.
Exact-encoding successes can lift the cap, provided the observed success
rate remains at least 50%. Missing legacy signatures cannot grant this.
"""
counts = Counter(profile_key(row) for row in pending if row.get("outcome") == "pending")
selected, deferred = [], []
for candidate in candidates:
key = profile_key(candidate)
evidence = (stats.get("encodingCombinationStats") or {}).get("|".join(key or ())) or {}
successes = int(evidence.get("successCount") or 0)
failures = max(0, int(evidence.get("failureCount") or 0) - int(evidence.get("platformFailureCount") or 0))
proven = successes >= 3 and successes / max(1, successes + failures) >= 0.5
# Count legacy records with the same method as well, conservatively.
legacy = 0
if key and ":" in key[-1]:
legacy = counts.get((*key[:-1], key[-1].split(":", 1)[0]), 0)
if key and not proven and counts[key] + legacy >= limit:
deferred.append(candidate)
continue
selected.append(candidate)
if key:
counts[key] += 1
return selected, deferred