feat(valleywide): add drive 2 findings - 000_ASource + analyzer outputs

Drive 2 (label "Backup", 12 TB, 6.77 TB used) — second of N VWP
backup drives. Scanned via WizTree, analyzed with analyze_wiztree.py.

NEW source content:
- 000_ASource/ — Darv's active work-in-progress folder. Contains
  TEST_VWP.vbp (2021-08-16, only .vbp newer than the 2020-06-09 baseline),
  four frmLotInfo*.frm variants (2020-10 to 2021-08), and an
  MSSCCPRJ.SCC file confirming Darv used Visual SourceSafe.
- The accompanying Vwp.mdb (2022-10-19, 764 MB) stays on local disk
  per .gitignore — newest database snapshot we have.

Analysis CSVs:
- source-analysis/drive2-2026-05-16/ — per-category + per-keyword
  breakdown of drive 2's 3.95M files (vs drive 1's 1.87M). Categories
  largely match drive 1 but with ~2x volume.

Net findings vs drive 1:
- Confirmed 4-year gap: only 4 .vbp files newer than 2020-06-09 on
  drive 2, all the same TEST_VWP.vbp scaffold. Main ORDERS_C.vbp source
  remains 2020-06-09. Darv stopped active VB6 dev around mid-2020.
- 43 GB Win7 Backup-and-Restore set in D:\Archive\Darv-Win7-PC\ (2023)
  not copied — deferred to later drives, ZIPs extractable on demand.
- Master Darv folder is bit-for-bit duplicate of drive 1's master (135 GB,
  same file/folder counts). Skipped.

New helper scripts:
- find_newer_vbp.py — list .vbp files newer than a date, filter SDK noise
- drive2_inspect.py / drive2_priorities.py — drive-specific triage

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

clients/valleywide/app-modernization/source-analysis/drive2_inspect.py

@@ -0,0 +1,49 @@
+"""Inspect specific drive 2 paths of interest."""
+import csv
+from collections import defaultdict
+
+WIZ = 'clients/valleywide/app-modernization/WizTree_20260516173603.csv'
+
+PATHS_OF_INTEREST = (
+    r'D:\Archive\Darv-Win7-PC',
+    r'D:\Office-Estimates\Darv\000_ASource',
+    r'D:\Archive\98_Server\O Drive\G-Drive\Darv',
+)
+
+# Files under each path, top 30 by size
+by_path = defaultdict(list)
+all_vdi = []
+
+with open(WIZ, encoding='utf-8-sig', errors='replace') as f:
+    r = csv.reader(f); next(r); next(r)
+    for row in r:
+        if not row or len(row) < 4:
+            continue
+        p = row[0]
+        if p.endswith('\\'):
+            continue  # files only
+        for prefix in PATHS_OF_INTEREST:
+            if p.startswith(prefix + '\\'):
+                try:
+                    sz = int(row[1])
+                except ValueError:
+                    sz = 0
+                by_path[prefix].append((sz, row[3], p))
+                break
+        # also catch all .vdi anywhere on this drive
+        if p.lower().endswith('.vdi'):
+            try:
+                sz = int(row[1])
+            except ValueError:
+                sz = 0
+            all_vdi.append((sz, row[3], p))
+
+for prefix in PATHS_OF_INTEREST:
+    items = sorted(by_path[prefix], reverse=True)
+    print(f'\n=== Top 20 files under {prefix} ({len(items)} files total) ===')
+    for sz, mod, p in items[:20]:
+        print(f'{sz/1024/1024:>10.1f} MB  {mod:<19}  {p}')
+
+print(f'\n=== All .vdi files on drive 2 ({len(all_vdi)} total), sorted by size ===')
+for sz, mod, p in sorted(all_vdi, reverse=True):
+    print(f'{sz/1024/1024/1024:>8.2f} GB  {mod:<19}  {p}')