0.1.3 - Add user UID, capture source & TCP support

Introduce automatic user UID extraction and optional --user-uid override, include user_uid and capture_source in exported JSON, and prepend UID to export filenames (falls back to unknown). Propagate detected protocol (tcp/udp) through live/libpcap parsing and accept TCP packets for UID detection; adjust libpcap filter to capture TCP as well. Update CLI flags (--copy-clipboard semantics, --user-uid), prompt user when UID is missing, and wire UID through mitmproxy and live capture flows. Bump package/exporter version to 0.1.3 and add tests for UID extraction and filename behavior.

src/nte_history_exporter/decoder/user_uid.py

@@ -0,0 +1,46 @@
+from __future__ import annotations
+
+import struct
+from collections import Counter
+
+
+MIN_USER_UID = 100_000_000_000
+MAX_USER_UID = 999_999_999_999
+USER_UID_RECORD_OFFSETS = (
+    (b"TagOthers", (16,)),
+    (b"PrivateSpawnInfoRecord", (40,)),
+    (b"SimpleQuestRecord", (20, 52)),
+    (b"FurnitureLayoutDataRec", (56, 64)),
+    (b"StoreBrandItemSalesVolumeRecord", (16,)),
+    (b"StorePropertyRecord", (20,)),
+)
+
+
+def _plausible_user_uid(value: int) -> bool:
+    return MIN_USER_UID <= value <= MAX_USER_UID
+
+
+def extract_user_uid_candidates(payload: bytes) -> list[str]:
+    results = []
+    for marker, distances in USER_UID_RECORD_OFFSETS:
+        search_from = 0
+        while True:
+            marker_pos = payload.find(marker, search_from)
+            if marker_pos == -1:
+                break
+            for distance in distances:
+                offset = marker_pos - distance
+                if offset < 0:
+                    continue
+                value = struct.unpack_from("<Q", payload, offset)[0]
+                if _plausible_user_uid(value):
+                    results.append(str(value))
+            search_from = marker_pos + len(marker)
+    return results
+
+
+def extract_user_uid(payload: bytes) -> str | None:
+    candidates = extract_user_uid_candidates(payload)
+    if not candidates:
+        return None
+    return Counter(candidates).most_common(1)[0][0]