01c19662cb
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.
89 lines
2.9 KiB
Python
Executable File
89 lines
2.9 KiB
Python
Executable File
import json
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import re
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import os
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from pathlib import Path
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from datetime import datetime
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BASE = Path(r"C:\Users\Lenovo\Documents")
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DIRS = {
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"NG1": BASE / "- Dolphin NG",
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"NG2": BASE / "- Dolphin NG2",
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"NG4": BASE / "- DOLPHIN NG4" / "- Results",
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"NG5": BASE / "- Dolphin NG5",
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"NG3": BASE / "- Dolphin NG HD (NG3)" / "correlation_arb512" / "eigenvalues"
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}
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def parse_ts(s):
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for fmt in ("%Y-%m-%dT%H:%M:%S.%f", "%Y-%m-%dT%H:%M:%S",
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"%Y-%m-%d %H:%M:%S.%f", "%Y-%m-%d %H:%M:%S",
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"%Y-%m-%dT%H:%M:%SZ"):
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try:
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return datetime.strptime(str(s)[:26].replace('Z', ''), fmt)
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except ValueError:
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continue
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return None
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def scan_dir_json(d, pattern):
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ts_list = []
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if not d.exists(): return ts_list
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for f in d.glob(pattern):
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try:
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with open(f, 'r', encoding='utf-8', errors='replace') as fb:
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data = json.load(fb)
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ts_str = data.get('timestamp')
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if ts_str:
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ts = parse_ts(ts_str)
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if ts: ts_list.append(ts)
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except: continue
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return ts_list
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def scan_ng4(d):
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ts_list = []
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if not d.exists(): return ts_list
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log_re = re.compile(r'(\d{4}-\d{2}-\d{2}T[\d:.]+Z)')
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for f in d.glob('*.txt'):
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try:
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with open(f, 'r', encoding='utf-8', errors='replace') as fb:
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for line in fb:
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m = log_re.search(line)
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if m:
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ts = parse_ts(m.group(1))
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if ts: ts_list.append(ts)
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except: continue
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return ts_list
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def scan_ng3(d):
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ts_list = []
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if not d.exists(): return ts_list
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# Just check the first and last date directories to save time
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subdirs = sorted([s for s in d.iterdir() if s.is_dir() and not s.name.endswith('_SKIP')])
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if not subdirs: return ts_list
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for subdir in [subdirs[0], subdirs[-1]]:
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for f in subdir.glob('scan_*.json'):
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if '__Indicators' in f.name: continue
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try:
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with open(f, 'r', encoding='utf-8', errors='replace') as fb:
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data = json.load(fb)
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ts_str = data.get('timestamp')
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if ts_str:
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ts = parse_ts(ts_str)
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if ts: ts_list.append(ts)
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except: continue
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return ts_list
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print("--- Data Archaeology Result ---")
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for name, d in DIRS.items():
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print(f"Checking {name} in {d}...")
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if name in ["NG1", "NG2", "NG5"]:
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times = scan_dir_json(d, 'regime_result_*.json')
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elif name == "NG4":
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times = scan_ng4(d)
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elif name == "NG3":
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times = scan_ng3(d)
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if times:
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print(f" {name}: {min(times)} to {max(times)} ({len(times)} samples found in scan)")
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else:
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print(f" {name}: No data found.")
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