V6.5-7ds cleanup: remove legacy scripts/upload_v6_5_resilient.py
Browse files- scripts/upload_v6_5_resilient.py +0 -129
scripts/upload_v6_5_resilient.py
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"""upload_v6_5_resilient.py — V6.5 upload to HuggingFace (single commit)."""
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from __future__ import annotations
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import json, os, sys, time, re
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from pathlib import Path
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PROJECT_ROOT = Path("/home/z/my-project")
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BIGRU_ROOT = PROJECT_ROOT / "BiGRU_T_version"
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CRITICAL_FILES_V65 = [
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"src/bigru_t/model/kohonen_learning_system.py",
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"src/bigru_t/model/__init__.py",
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"src/bigru_t/__init__.py",
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"src/bigru_t/model/hyp_t.py",
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"src/bigru_t/training/mtp.py",
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"src/bigru_t/training/ewc.py",
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"src/bigru_t/quantization/smoothquant_compressor.py",
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"src/bigru_t/model/vqvae2_hierarchical.py",
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"src/bigru_t/model/vqvae2_hierarchical_flexnet.py",
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"src/bigru_t/model/token_compress.py",
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"src/bigru_t/reasoning/thinking.py",
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"src/bigru_t/reasoning/reasoning_engine.py",
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"src/bigru_t/reasoning/circular_orchestration.py",
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"src/bigru_t/reasoning/tool_agent.py",
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"src/bigru_t/reasoning/distributed_reasoning_system.py",
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"src/bigru_t/reasoning/cyclic_reasoning.py",
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"src/bigru_t/reasoning/consensus_sampling.py",
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"v6_5_report.json",
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"v6_5_training_metrics.json",
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"v6_5_module_analysis.json",
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"v6_5_script_activity.json",
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"v6_5_ewc_w8a8_benchmark.json",
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"v6_5_reasoning_eval.json",
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"scripts/train_v6_5.py",
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"scripts/upload_v6_5_resilient.py",
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"src/bigru_t/utils/xeon_runtime.py",
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"src/bigru_t/data/streaming_datasets.py",
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]
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def main() -> int:
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print("=" * 72)
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print("V6.5 — UPLOAD TO HUGGINGFACE")
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print("=" * 72)
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hf_token = os.environ.get("HF_TOKEN")
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if not hf_token:
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print("ERROR: HF_TOKEN not set in env")
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return 1
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print(f" HF_TOKEN loaded from env (length={len(hf_token)})")
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# Pre-upload safety: regex scrub any HF token format
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token_pattern = re.compile(r'hf_[A-Za-z0-9]{32,}')
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print("\n Pre-upload safety: scrubbing token from scripts...")
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for script_path in BIGRU_ROOT.glob("scripts/*.py"):
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try:
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content = script_path.read_text()
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if token_pattern.search(content):
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scrubbed = token_pattern.sub("hf_<REDACTED_TOKEN>", content)
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script_path.write_text(scrubbed)
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print(f" SCRUBBED: {script_path.name}")
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except Exception as e:
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print(f" SKIP {script_path.name}: {e}")
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try:
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from huggingface_hub import HfApi, upload_folder
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except ImportError:
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print("ERROR: huggingface_hub not installed")
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return 1
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api = HfApi(token=hf_token)
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repo_id = "PowerMachine/BiGRU_T_version"
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try:
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info = api.repo_info(repo_id=repo_id, repo_type="model")
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print(f" Repo: {repo_id} (existing, files={len(info.siblings)})")
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except Exception as e:
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print(f" ERROR: cannot access repo: {e}")
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return 1
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print(f"\n Uploading {BIGRU_ROOT} as single commit...")
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t0 = time.time()
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try:
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commit_info = upload_folder(
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repo_id=repo_id, repo_type="model",
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folder_path=str(BIGRU_ROOT),
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commit_message="V6.5-final: removed pre-V6.4 modules/scripts, moved kohonen_learning_system up, activated VQ-VAE-2 in pipeline, integrated reasoning_engine, benchmarked EWC+W8A8 dequant, exhausted 6 datasets",
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token=hf_token,
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)
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t1 = time.time()
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print(f" Upload completed in {t1 - t0:.2f}s")
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print(f" Commit: {commit_info.oid}")
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print(f" URL: https://huggingface.co/PowerMachine/BiGRU_T_version/commit/{commit_info.oid}")
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except Exception as e:
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print(f" ERROR: upload failed: {e}")
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return 1
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print("\n Verifying critical files in repo...")
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try:
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files_in_repo = api.list_repo_files(repo_id, repo_type="model")
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all_present = True
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for cf in CRITICAL_FILES_V65:
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present = cf in files_in_repo
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mark = "OK" if present else "MISS"
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print(f" [{mark}] {cf}")
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if not present:
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all_present = False
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print(f"\n Files in repo: {len(files_in_repo)}")
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if not all_present:
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print(" WARNING: some critical files missing!")
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except Exception as e:
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print(f" WARNING: cannot verify files: {e}")
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report = {
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"version": "V6.5",
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"upload_timestamp": time.strftime("%Y-%m-%dT%H:%M:%S"),
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"repo_id": repo_id,
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"commit_oid": commit_info.oid,
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"commit_url": f"https://huggingface.co/PowerMachine/BiGRU_T_version/commit/{commit_info.oid}",
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"duration_s": float(t1 - t0),
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"critical_files": CRITICAL_FILES_V65,
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"n_files_in_repo": len(files_in_repo) if "files_in_repo" in dir() else 0,
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}
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report_path = BIGRU_ROOT / "v6_5_upload_report.json"
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report_path.write_text(json.dumps(report, indent=2, ensure_ascii=False))
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print(f"\n Upload report: {report_path}")
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print("\n" + "=" * 72)
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print("V6.5 — UPLOAD COMPLETED")
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print("=" * 72)
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return 0
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if __name__ == "__main__":
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sys.exit(main())
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