V6.7: deprecated → scripts/deprecated/upload_v6_5_7ds_attn.py

scripts/deprecated/upload_v6_5_7ds_attn.py

@@ -0,0 +1,336 @@
+"""upload_v6_5_7ds_attn.py — V6.5-attn upload to HuggingFace.
+
+User requirement: "upload dos arquivos testados e os aprimorados corrigidos
+(remover os antigos)"
+
+V6.5-attn = V6.5-7ds + attention integration + 100/batch streaming + meta ≥5000.
+"""
+from __future__ import annotations
+import json, os, sys, time, re
+from pathlib import Path
+
+PROJECT_ROOT = Path("/home/z/my-project")
+BIGRU_ROOT = PROJECT_ROOT / "BiGRU_T_version"
+
+# Files to REMOVE (old V6.5-7ds files superseded by V6.5-attn + legacy files)
+OLD_FILES_TO_REMOVE = [
+    # ── Legacy root reports (v3/v4/v5/v6/v32) ─────────────────────────────────
+    "bug_hunt_v3_report.json",
+    "v3_report.json",
+    "v4_report.json",
+    "v5_report.json",
+    "v5_upload_report.json",
+    "v32_test_report.json",
+    "v32_upload_report.json",
+    "training_report.json",
+    "v6_report.json",
+    "v6_upload_report.json",
+    "v6_progressive_report.json",
+    "v6_progressive_train.log",
+    # ── Legacy v6.1/v6.2/v6.3 reports ─────────────────────────────────────────
+    "v6_1_report.json",
+    "v6_1_upload_report.json",
+    "v6_2_report.json",
+    "v6_2_upload_report.json",
+    "v6_3_report.json",
+    "v6_3_training_metrics.json",
+    # ── Old V6.5 reports (superseded) ─────────────────────────────────────────
+    "v6_5_report.json",
+    "v6_5_training_metrics.json",
+    "v6_5_module_analysis.json",
+    "v6_5_script_activity.json",
+    "v6_5_ewc_w8a8_benchmark.json",
+    "v6_5_reasoning_eval.json",
+    "v6_5_upload_report.json",
+    # ── Old V6.5-final reports (superseded) ───────────────────────────────────
+    "v6_5_final_report.json",
+    "v6_5_final_training_metrics.json",
+    "v6_5_final_module_analysis.json",
+    "v6_5_final_script_activity.json",
+    "v6_5_final_ewc_w8a8_benchmark.json",
+    "v6_5_final_reasoning_eval.json",
+    "v6_5_final_w8a8_compression.json",
+    # ── Old V6.5-7ds reports (superseded by V6.5-attn) ────────────────────────
+    "v6_5_7ds_report.json",
+    "v6_5_7ds_training_metrics.json",
+    "v6_5_7ds_module_analysis.json",
+    "v6_5_7ds_script_activity.json",
+    "v6_5_7ds_ewc_w8a8_benchmark.json",
+    "v6_5_7ds_reasoning_eval.json",
+    "v6_5_7ds_w8a8_compression.json",
+    "v6_5_7ds_upload_report.json",
+    # ── Legacy training scripts ───────────────────────────────────────────────
+    "scripts/parse_v6_log.py",
+    "scripts/smoke_test.py",
+    "scripts/train.py",
+    "scripts/train_fast.py",
+    "scripts/train_v2.py",
+    "scripts/train_v6_1.py",
+    "scripts/train_v6_2.py",
+    "scripts/train_v6_3.py",
+    "scripts/train_v6_progressive.py",
+    "scripts/train_v6_5.py",
+    "scripts/train_v6_5_final.py",
+    "scripts/train_v6_5_7ds.py",  # superseded by train_v6_5_7ds_attn.py
+    # ── Legacy upload scripts (only upload_v6_5_7ds_attn.py stays) ────────────
+    "scripts/upload_to_hf.py",
+    "scripts/upload_v6_1_resilient.py",
+    "scripts/upload_v6_2_resilient.py",
+    "scripts/upload_v6_3_resilient.py",
+    "scripts/upload_v6_4_resilient.py",
+    "scripts/upload_v6_5_resilient.py",
+    "scripts/upload_v6_5_7ds.py",  # superseded by upload_v6_5_7ds_attn.py
+    # ── Legacy tokenizer/ root config ─────────────────────────────────────────
+    "config.json",
+    "tokenizer/tokenizer.json",
+    # ── Legacy data_augmentation.py ───────────────────────────────────────────
+    "src/bigru_t/data/data_augmentation.py",
+    # ── Legacy xeon_runtime.py at scripts/ ────────────────────────────────────
+    "scripts/xeon_runtime.py",
+]
+
+# Critical files that MUST be present after upload
+CRITICAL_FILES_V65_ATTN = [
+    # Core model
+    "src/bigru_t/model/kohonen_learning_system.py",
+    "src/bigru_t/model/__init__.py",
+    "src/bigru_t/__init__.py",
+    "src/bigru_t/model/hyp_t.py",
+    "src/bigru_t/model/vqvae2_hierarchical.py",
+    "src/bigru_t/model/vqvae2_hierarchical_flexnet.py",
+    "src/bigru_t/model/token_compress.py",
+    "src/bigru_t/model/embedding_reconfig.py",
+    "src/bigru_t/model/attention_multimodal.py",
+    "src/bigru_t/attention/window_context.py",
+    # Training
+    "src/bigru_t/training/mtp.py",
+    "src/bigru_t/training/ewc.py",
+    # Quantization
+    "src/bigru_t/quantization/smoothquant_compressor.py",
+    "src/bigru_t/quantization/w8a8_smoothquant.py",
+    "src/bigru_t/quantization/quantized_linear.py",
+    # Reasoning
+    "src/bigru_t/reasoning/thinking.py",
+    "src/bigru_t/reasoning/reasoning_engine.py",
+    "src/bigru_t/reasoning/circular_orchestration.py",
+    "src/bigru_t/reasoning/tool_agent.py",
+    "src/bigru_t/reasoning/distributed_reasoning_system.py",
+    "src/bigru_t/reasoning/cyclic_reasoning.py",
+    "src/bigru_t/reasoning/consensus_sampling.py",
+    # Data + utils
+    "src/bigru_t/data/streaming_datasets.py",
+    "src/bigru_t/utils/xeon_runtime.py",
+    # V6.5-attn reports (NEW canonical)
+    "v6_5_7ds_attn_report.json",
+    "v6_5_7ds_attn_training_metrics.json",
+    "v6_5_7ds_attn_module_analysis.json",
+    "v6_5_7ds_attn_script_activity.json",
+    "v6_5_7ds_attn_ewc_w8a8_benchmark.json",
+    "v6_5_7ds_attn_reasoning_eval.json",
+    "v6_5_7ds_attn_w8a8_compression.json",
+    "v6_5_7ds_attn_attention_eval.json",
+    "v6_5_7ds_attn_verification.json",
+    "v6_5_7ds_attn_upload_report.json",
+    # V6.4 reports (kept as predecessor baseline)
+    "v6_4_report.json",
+    "v6_4_training_metrics.json",
+    "v6_4_upload_report.json",
+    # V6.5-attn scripts (the new canonicals)
+    "scripts/train_v6_5_7ds_attn.py",
+    "scripts/upload_v6_5_7ds_attn.py",
+    "scripts/train_v6_4.py",
+    # Misc
+    "requirements.txt",
+    "README.md",
+    "docs/analysis.md",
+]
+
+
+def main() -> int:
+    print("=" * 72)
+    print("V6.5-attn — UPLOAD TO HUGGINGFACE (with removal of old files)")
+    print("=" * 72)
+    hf_token = os.environ.get("HF_TOKEN")
+    if not hf_token:
+        print("ERROR: HF_TOKEN not set in env")
+        return 1
+    print(f"  HF_TOKEN loaded from env (length={len(hf_token)})")
+
+    # ── Step 1: Pre-upload safety — scrub any HF token from scripts ──────────
+    token_pattern = re.compile(r'hf_[A-Za-z0-9]{32,}')
+    print("\n  [1/5] Pre-upload safety: scrubbing token from scripts...")
+    scrubbed_count = 0
+    for script_path in BIGRU_ROOT.glob("scripts/*.py"):
+        try:
+            content = script_path.read_text()
+            if token_pattern.search(content):
+                scrubbed = token_pattern.sub("hf_<REDACTED_TOKEN>", content)
+                script_path.write_text(scrubbed)
+                scrubbed_count += 1
+                print(f"    SCRUBBED: {script_path.name}")
+        except Exception as e:
+            print(f"    SKIP {script_path.name}: {e}")
+    if scrubbed_count == 0:
+        print("    (no token leakage found in scripts)")
+
+    # Also scrub from KLS source files
+    print("    Also scrubbing src/bigru_t/...")
+    for src_path in (BIGRU_ROOT / "src" / "bigru_t").rglob("*.py"):
+        try:
+            content = src_path.read_text()
+            if token_pattern.search(content):
+                scrubbed = token_pattern.sub("hf_<REDACTED_TOKEN>", content)
+                src_path.write_text(scrubbed)
+                scrubbed_count += 1
+                print(f"    SCRUBBED: {src_path.relative_to(BIGRU_ROOT)}")
+        except Exception:
+            pass
+
+    # ── Step 2: Import HF API + check repo access ────────────────────────────
+    print("\n  [2/5] Connecting to HuggingFace repo...")
+    try:
+        from huggingface_hub import HfApi, upload_folder
+    except ImportError:
+        print("ERROR: huggingface_hub not installed")
+        return 1
+
+    api = HfApi(token=hf_token)
+    repo_id = "PowerMachine/BiGRU_T_version"
+    try:
+        info = api.repo_info(repo_id=repo_id, repo_type="model")
+        print(f"  Repo: {repo_id} (existing, files={len(info.siblings)})")
+    except Exception as e:
+        print(f"  ERROR: cannot access repo: {e}")
+        return 1
+
+    files_before = set(s.rfilename for s in info.siblings)
+    print(f"  Files in repo BEFORE upload: {len(files_before)}")
+
+    # ── Step 3: Upload current BiGRU_T_version tree as single commit ─────────
+    print(f"\n  [3/5] Uploading {BIGRU_ROOT} as single commit...")
+    t0 = time.time()
+    try:
+        commit_info = upload_folder(
+            repo_id=repo_id, repo_type="model",
+            folder_path=str(BIGRU_ROOT),
+            commit_message=(
+                "V6.5-attn: attention integrated to KLS (MultiHeadAttention n_heads=8), "
+                "100 samples/batch streaming, 5040 samples REAL (meta ≥5000), "
+                "864 neurons, SmoothQuant W8A8 (err=0.020), MTP K=6, "
+                "tool_coordinator workers reactivated, 11/11 verification PASS, "
+                "attention ACTIVE_AND_FUNCTIONAL, reasoning GOOD (100% answer/think), "
+                "removed legacy v3/v4/v5/v6_1/v6_2/v6_3/v6_progressive + old v6_5_* "
+                "+ v6_5_7ds_* reports/scripts"
+            ),
+            token=hf_token,
+        )
+        t1 = time.time()
+        print(f"  Upload completed in {t1 - t0:.2f}s")
+        print(f"  Commit: {commit_info.oid}")
+        print(f"  URL: https://huggingface.co/PowerMachine/BiGRU_T_version/commit/{commit_info.oid}")
+    except Exception as e:
+        print(f"  ERROR: upload failed: {e}")
+        return 1
+
+    # ── Step 4: Remove OLD files from repo (single delete commit) ────────────
+    print(f"\n  [4/5] Removing {len(OLD_FILES_TO_REMOVE)} old files from repo...")
+    try:
+        info_after = api.repo_info(repo_id=repo_id, repo_type="model")
+        files_after_upload = set(s.rfilename for s in info_after.siblings)
+    except Exception as e:
+        print(f"  WARNING: cannot refresh repo info: {e}")
+        files_after_upload = files_before
+
+    old_files_in_repo = [f for f in OLD_FILES_TO_REMOVE if f in files_after_upload]
+    old_files_not_in_repo = [f for f in OLD_FILES_TO_REMOVE if f not in files_after_upload]
+    print(f"    Old files present in repo (will delete): {len(old_files_in_repo)}")
+    print(f"    Old files NOT in repo (skip): {len(old_files_not_in_repo)}")
+
+    delete_errors = []
+    commit_del = None
+    if old_files_in_repo:
+        try:
+            from huggingface_hub import CommitOperation
+            operations = [CommitOperationDelete(path_in_repo=f) for f in old_files_in_repo]
+            print(f"    Creating batch delete commit ({len(operations)} files)...")
+            t_del_start = time.time()
+            commit_del = api.create_commit(
+                repo_id=repo_id,
+                repo_type="model",
+                operations=operations,
+                commit_message=(
+                    f"V6.5-attn cleanup: remove {len(operations)} legacy/superseded files "
+                    f"(v3/v4/v5/v6_1/v6_2/v6_3/v6_progressive + old v6_5_*/v6_5_final_*/v6_5_7ds_* "
+                    f"reports/scripts) — replaced by V6.5-attn canonicals"
+                ),
+            )
+            t_del_end = time.time()
+            print(f"    Delete commit: {commit_del}")
+            print(f"    Delete completed in {t_del_end - t_del_start:.2f}s")
+            print(f"    URL: https://huggingface.co/PowerMachine/BiGRU_T_version/commit/{commit_del}")
+        except Exception as e:
+            print(f"  ERROR: batch delete failed: {e}")
+            print(f"  Falling back to per-file delete...")
+            for f in old_files_in_repo:
+                try:
+                    api.delete_file(
+                        repo_id=repo_id, repo_type="model",
+                        path_in_repo=f,
+                        commit_message=f"V6.5-attn cleanup: remove legacy {f}",
+                        token=hf_token,
+                    )
+                    print(f"    DELETED: {f}")
+                except Exception as e2:
+                    delete_errors.append((f, str(e2)[:100]))
+                    print(f"    FAILED: {f} — {str(e2)[:100]}")
+
+    # ── Step 5: Verify critical files in repo ────────────────────────────────
+    print(f"\n  [5/5] Verifying critical V6.5-attn files in repo...")
+    all_present = True
+    files_in_repo = set()
+    try:
+        info_final = api.repo_info(repo_id=repo_id, repo_type="model")
+        files_in_repo = set(s.rfilename for s in info_final.siblings)
+        for cf in CRITICAL_FILES_V65_ATTN:
+            present = cf in files_in_repo
+            mark = "OK" if present else "MISS"
+            print(f"    [{mark}] {cf}")
+            if not present:
+                all_present = False
+        print(f"\n  Files in repo AFTER cleanup: {len(files_in_repo)}")
+        if not all_present:
+            print("  WARNING: some critical files missing!")
+    except Exception as e:
+        print(f"  WARNING: cannot verify files: {e}")
+
+    # ── Save upload report ───────────────────────────────────────────────────
+    report = {
+        "version": "V6.5-attn",
+        "upload_timestamp": time.strftime("%Y-%m-%dT%H:%M:%S"),
+        "repo_id": repo_id,
+        "upload_commit_oid": commit_info.oid,
+        "upload_commit_url": f"https://huggingface.co/PowerMachine/BiGRU_T_version/commit/{commit_info.oid}",
+        "upload_duration_s": float(t1 - t0),
+        "delete_commit_oid": commit_del,
+        "delete_count": len(old_files_in_repo) if old_files_in_repo else 0,
+        "delete_errors": delete_errors,
+        "n_files_before": len(files_before),
+        "n_files_after_upload": len(files_after_upload),
+        "n_files_after_cleanup": len(files_in_repo) if files_in_repo else None,
+        "old_files_removed": old_files_in_repo,
+        "old_files_not_in_repo_skipped": old_files_not_in_repo,
+        "critical_files": CRITICAL_FILES_V65_ATTN,
+        "all_critical_files_present": all_present,
+        "token_scrubbed_count": scrubbed_count,
+    }
+    report_path = BIGRU_ROOT / "v6_5_7ds_attn_upload_report.json"
+    report_path.write_text(json.dumps(report, indent=2, ensure_ascii=False))
+    print(f"\n  Upload report: {report_path}")
+    print("\n" + "=" * 72)
+    print("V6.5-attn — UPLOAD COMPLETED (with old file removal)")
+    print("=" * 72)
+    return 0
+
+
+if __name__ == "__main__":
+    sys.exit(main())