feat(client): TagExtractor — pure regex parse/strip of §12 tags

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

client/scripts/text/tag_extractor.gd

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+class_name TagExtractor
+extends RefCounted
+## Pure §12 tag parsing. Extracts [FACT:], [ADJUST_DISPOSITION:], [MOVE:] tags
+## and returns the prose with all tags stripped. It never applies anything and
+## never validates a move (that needs NPC context from /npc/speak — a later
+## plan). Its outputs are exactly the inputs CanonLog's mutators consume.
+
+static var _fact_re: RegEx = RegEx.create_from_string("\\[FACT:\\s*(.*?)\\]")
+static var _dispo_re: RegEx = RegEx.create_from_string("\\[ADJUST_DISPOSITION:\\s*([+-]?\\d+)\\]")
+static var _move_re: RegEx = RegEx.create_from_string("\\[MOVE:\\s*(\\w+)\\(([^)]*)\\)\\]")
+static var _any_re: RegEx = RegEx.create_from_string("\\[[A-Z_]+:[^\\]]*\\]")
+
+
+static func extract(prose: String) -> Dictionary:
+	var facts: Array = []
+	for m in _fact_re.search_all(prose):
+		facts.append(m.get_string(1).strip_edges())
+
+	var dispositions: Array = []
+	for m in _dispo_re.search_all(prose):
+		dispositions.append(int(m.get_string(1)))
+
+	var moves: Array = []
+	for m in _move_re.search_all(prose):
+		var raw_args := m.get_string(2).strip_edges()
+		var args: Array = []
+		if raw_args != "":
+			for a in raw_args.split(","):
+				args.append(a.strip_edges())
+		moves.append({"name": m.get_string(1), "args": args})
+
+	var clean := _any_re.sub(prose, "", true)
+	# Collapse whitespace left where inline tags were removed.
+	while clean.contains("  "):
+		clean = clean.replace("  ", " ")
+	clean = clean.strip_edges()
+
+	return {"clean_text": clean, "facts": facts, "dispositions": dispositions, "moves": moves}

client/scripts/text/tag_extractor.gd.uid

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+uid://cib5yw5k0kip4