initial: import DOLPHIN baseline 2026-04-21 from dolphinng5_predict working tree

Includes core prod + GREEN/BLUE subsystems:
- prod/ (BLUE harness, configs, scripts, docs)
- nautilus_dolphin/ (GREEN Nautilus-native impl + dvae/ preserved)
- adaptive_exit/ (AEM engine + models/bucket_assignments.pkl)
- Observability/ (EsoF advisor, TUI, dashboards)
- external_factors/ (EsoF producer)
- mc_forewarning_qlabs_fork/ (MC regime/envelope)

Excludes runtime caches, logs, backups, and reproducible artifacts per .gitignore.

nautilus_dolphin/dvae/data_range_archaeology.py

@@ -0,0 +1,88 @@
+import json
+import re
+import os
+from pathlib import Path
+from datetime import datetime
+
+BASE = Path(r"C:\Users\Lenovo\Documents")
+DIRS = {
+    "NG1": BASE / "- Dolphin NG",
+    "NG2": BASE / "- Dolphin NG2",
+    "NG4": BASE / "- DOLPHIN NG4" / "- Results",
+    "NG5": BASE / "- Dolphin NG5",
+    "NG3": BASE / "- Dolphin NG HD (NG3)" / "correlation_arb512" / "eigenvalues"
+}
+
+def parse_ts(s):
+    for fmt in ("%Y-%m-%dT%H:%M:%S.%f", "%Y-%m-%dT%H:%M:%S",
+                "%Y-%m-%d %H:%M:%S.%f", "%Y-%m-%d %H:%M:%S",
+                "%Y-%m-%dT%H:%M:%SZ"):
+        try:
+            return datetime.strptime(str(s)[:26].replace('Z', ''), fmt)
+        except ValueError:
+            continue
+    return None
+
+def scan_dir_json(d, pattern):
+    ts_list = []
+    if not d.exists(): return ts_list
+    for f in d.glob(pattern):
+        try:
+            with open(f, 'r', encoding='utf-8', errors='replace') as fb:
+                data = json.load(fb)
+                ts_str = data.get('timestamp')
+                if ts_str:
+                    ts = parse_ts(ts_str)
+                    if ts: ts_list.append(ts)
+        except: continue
+    return ts_list
+
+def scan_ng4(d):
+    ts_list = []
+    if not d.exists(): return ts_list
+    log_re = re.compile(r'(\d{4}-\d{2}-\d{2}T[\d:.]+Z)')
+    for f in d.glob('*.txt'):
+        try:
+            with open(f, 'r', encoding='utf-8', errors='replace') as fb:
+                for line in fb:
+                    m = log_re.search(line)
+                    if m:
+                        ts = parse_ts(m.group(1))
+                        if ts: ts_list.append(ts)
+        except: continue
+    return ts_list
+
+def scan_ng3(d):
+    ts_list = []
+    if not d.exists(): return ts_list
+    # Just check the first and last date directories to save time
+    subdirs = sorted([s for s in d.iterdir() if s.is_dir() and not s.name.endswith('_SKIP')])
+    if not subdirs: return ts_list
+    
+    for subdir in [subdirs[0], subdirs[-1]]:
+        for f in subdir.glob('scan_*.json'):
+            if '__Indicators' in f.name: continue
+            try:
+                with open(f, 'r', encoding='utf-8', errors='replace') as fb:
+                    data = json.load(fb)
+                    ts_str = data.get('timestamp')
+                    if ts_str:
+                        ts = parse_ts(ts_str)
+                        if ts: ts_list.append(ts)
+            except: continue
+    return ts_list
+
+print("--- Data Archaeology Result ---")
+for name, d in DIRS.items():
+    print(f"Checking {name} in {d}...")
+    if name in ["NG1", "NG2", "NG5"]:
+        times = scan_dir_json(d, 'regime_result_*.json')
+    elif name == "NG4":
+        times = scan_ng4(d)
+    elif name == "NG3":
+        times = scan_ng3(d)
+    
+    if times:
+        print(f"  {name}: {min(times)} to {max(times)} ({len(times)} samples found in scan)")
+    else:
+        print(f"  {name}: No data found.")