overlay/scripts/hotpatch_v5.py

import os
import requests
import sys
import base64

token = os.environ.get("HF_TOKEN")
namespace = "GAInTech"
space_id = "GAInTech/feather-a10g-gt80k-runtime-public"

hotpatch_script = """
import os
import sys
from pathlib import Path

def patch(path, old, new):
    p = Path(path)
    if not p.exists(): return
    s = p.read_text()
    if old in s:
        p.write_text(s.replace(old, new))
        print(f'[hotpatch] patched {path}')

# 1. training.py: Fix NameErrors and Imports
p1 = Path('/workspace/feather/hydra/training.py')
if p1.exists():
    s = p1.read_text()
    # Fix MDLM check
    old1 = "mdlm_mask_id = MDLM_MASK_ID if MDLM_MASK_ID >= 0 else (vocab_size - 1)"
    new1 = "mdlm_mask_id = int(os.environ.get('HYDRA_MDLM_MASK_ID', str(vocab_size - 1)))"
    s = s.replace(old1, new1)
    
    # Fix RESUME_CKPT import
    if 'RESUME_CKPT' not in s:
        s = s.replace('WARMUP_RATIO, WEIGHT_DECAY,', 'WARMUP_RATIO, WEIGHT_DECAY, RESUME_CKPT,')
    
    # Fix maybe_resume_ckpt to use environment fallback
    old2 = 'if not RESUME_CKPT or RESUME_CKPT.lower() == "none":'
    new2 = 'resume_val = os.environ.get("HYDRA_RESUME_CKPT", "none")\\n    if not resume_val or resume_val.lower() == "none":'
    s = s.replace(old2, new2)
    s = s.replace('RESUME_CKPT', 'os.environ.get("HYDRA_RESUME_CKPT", "none")')
    
    p1.write_text(s)
    print('[hotpatch] patched training.py (v5)')

# 2. htm.py: Stub (v5 - indices fixed)
p_htm = Path('/workspace/feather/subsystems/htm.py')
if p_htm.exists():
    s = p_htm.read_text()
    if 'class _StubRegion' not in s:
        stub = "\\nclass _StubRegion:\\n    def __init__(self, *a, **k): self.n_columns=2048\\n    def step(self, *a, **k): import numpy as np; return (np.zeros(2048), None, None, 1.0)\\n    def step_many(self, sdr, *a): import numpy as np; T=sdr.shape[0]; return (np.zeros((T,2048)), np.ones(T, dtype=np.float32))\\n    def reset(self): pass\\n"
        s = s.replace('import htm_rust', 'import htm_rust' + stub)
        s = s.replace('_HTM_REGION_CLS = getattr(htm_rust, "HTMRegion", None)', '_HTM_REGION_CLS = _StubRegion')
        p_htm.write_text(s)
        print('[hotpatch] patched htm.py stub')

# 3. prepare_nemotron.py: Force Stream
patch('/workspace/feather/prepare_nemotron.py',
      'local_only = os.environ.get("HYDRA_LOCAL_SHARDS_ONLY", "1") == "1"',
      'local_only = False')

# 4. sdr_semantic.py: Signature + Member + _apply
p_sem = Path('/workspace/feather/subsystems/sdr_semantic.py')
if p_sem.exists():
    s = p_sem.read_text()
    old_sig = '        som_alpha: float = 0.05,\\n        contrastive_rank: int = 64,\\n    ) -> None:'
    new_sig = '        som_alpha: float = 0.05,\\n        contrastive_rank: int = 64,\\n        hebbian_alpha: float = 0.01,\\n        learnable: bool | None = None,\\n    ) -> None:'
    if old_sig in s: s = s.replace(old_sig, new_sig)
    if 'self.hebbian_alpha = float(hebbian_alpha)' not in s:
        s = s.replace('self.som_alpha = float(som_alpha)', 'self.som_alpha = float(som_alpha)\\n        self.hebbian_alpha = 0.01')
    s = s.replace('self._retina_indices = fn(self._retina_indices)', 'if hasattr(self, "_retina_indices"): self._retina_indices = fn(self._retina_indices)')
    p_sem.write_text(s)
    print('[hotpatch] patched sdr_semantic.py')

# 5. sdr_retina.py: Cache Repo
patch('/workspace/feather/subsystems/sdr_retina.py',
      '"icarus112/feather-retina-cache"',
      '"GAInTech/feather-retina-cache"')
"""

encoded = base64.b64encode(hotpatch_script.encode()).decode()
command = [
    "/bin/bash", "-c",
    f"python3 -c 'import base64; exec(base64.b64decode(\"{encoded}\"))' && python /app/entrypoint.py"
]

env = {
    "FEATHER_RUNTIME_MODE": "job",
    "HYDRA_BATCH_SIZE": "96",
    "HYDRA_TOTAL_BATCH": "196608",
    "HYDRA_USE_NEMOTRON": "1",
    "HYDRA_TARGET_SHARDS": "0",
    "HYDRA_FORCE_HTM_CPU": "1",
    "HYDRA_INERT_MAMBA": "1",
    "HYDRA_FASTPATH": "1",
    "PYTHONUNBUFFERED": "1",
    "HYDRA_RESUME_CKPT": "none"
}

payload = {
    "spaceId": space_id,
    "command": command,
    "environment": env,
    "secrets": {"HF_TOKEN": token},
    "flavor": "a10g-large",
    "timeout": "12h"
}

url = f"https://huggingface.co/api/jobs/{namespace}"
headers = {"Authorization": f"Bearer {token}"}

print(f"Submitting ULTIMATE-HOTPATCH launch to {url}...")
r = requests.post(url, json=payload, headers=headers)
if r.status_code == 200:
    print(f"Success! Job ID: {r.json()['id']}")
else:
    print(f"Error {r.status_code}: {r.text}")