Initial skills documentation — 25 categories, all SKILL.md + references + scripts

2026-07-15 17:42:20 -04:00
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+#!/usr/bin/env python3
+"""
+Reusable DB cross-reference checker for the exotic vehicle database.
+Usage: Copy to /tmp/check_db.py, edit the `checks` dict, then run:
+  python3 /tmp/check_db.py
+
+DB path: /root/portal-mockup/vehicles.json
+DB structure: {Make: {Model: {Year: HP, ...}, ...}, ...}
+"""
+import json
+
+DB_PATH = "/root/portal-mockup/vehicles.json"
+
+v = json.load(open(DB_PATH))
+
+# Add vehicles to check here. Format:
+#   "Label": ("Make", "Model substring to search for")
+# For new makes, use ("Make", None) — reports whether the make exists at all.
+checks = {
+    # --- EXAMPLES (replace with current checks) ---
+    # "Ferrari 12Cilindri": ("Ferrari", "12Cilindri"),
+    # "Kimera K39": ("Kimera", None),
+    # "Lamborghini Urus SE": ("Lamborghini", "Urus SE"),
+}
+
+for label, (make, model_hint) in checks.items():
+    if make in v:
+        if model_hint:
+            matches = [m for m in v[make].keys() if model_hint.lower() in m.lower()]
+            if matches:
+                yrs_2025 = []
+                for m in matches:
+                    yr_list = sorted([int(y) for y in v[make][m].keys() if y.isdigit()])
+                    recent = [y for y in yr_list if y >= 2025]
+                    if recent:
+                        yrs_2025.append((m, recent, {str(y): v[make][m][str(y)] for y in recent}))
+                if yrs_2025:
+                    print(f"{label}: ✅ IN DB (2025+ yrs) - {yrs_2025}")
+                else:
+                    print(f"{label}: ⚠️ IN DB but no 2025+ years - {[(m, sorted(v[make][m].keys())) for m in matches]}")
+            else:
+                print(f"{label}: ❌ MISSING (make '{make}' exists but model not found)")
+                similar = [m for m in v[make].keys() if any(w in m.lower() for w in model_hint.lower().split())]
+                if similar:
+                    print(f"  Similar: {similar}")
+        else:
+            print(f"{label}: ✅ MAKE exists — models: {sorted(v[make].keys())[:15]}")
+    else:
+        print(f"{label}: ❌ MAKE '{make}' not in DB")
+
+print(f"\nDB stats — {len(v)} makes, {sum(len(models) for models in v.values())} models")