474 lines
18 KiB
Python
474 lines
18 KiB
Python
"""Speaker utilities shared across engine modules.
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One home for everything speaker-related so ``util/`` does not sprawl:
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* **Prefix parsing** - the ``[Speaker]: line`` convention the shared prompt uses.
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Widely imported by the engine modules to strip the tag off translated text.
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* **RPG Maker MV/MZ format detection** - :func:`detect_speaker_format` scans a
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project's map/common-event JSON to recommend which speaker flags to enable.
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* **WOLF first-line reshaping** - WolfDawn bakes some speaker names into line 1
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of the source; these helpers reshape those lines into ``[Speaker]: line`` for
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translation and restore WOLF's native ``Speaker\nline`` layout afterwards.
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"""
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from __future__ import annotations
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import json
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import re
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from pathlib import Path
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from util.paths import DATA_DIR
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# ============================================================================
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# [Speaker]: prefix parsing
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# ----------------------------------------------------------------------------
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# Handles RPG Maker control codes inside speaker brackets, e.g.
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# ``[\\C[10]Hp Drink\\C[0]]: dialogue`` where inner ``[10]`` must not end the
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# match early.
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# ============================================================================
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# Inner text of [Speaker] - allows \C[n], \c[n], \i[n], \n[actorId], etc.
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# The control-code branch (\X[...]) keeps the inner [..] from ending the bracket early.
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SPEAKER_BRACKET_INNER = r"(?:\\[A-Za-z]+\[[^\]]*\]|[^\]\n])+"
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# A bare [Speaker]: / [Speaker]| / [Speaker]： prefix.
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_PREFIX_PATTERN = rf"^\[{SPEAKER_BRACKET_INNER}\]\s*[|:：]\s*"
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SPEAKER_PREFIX_RE = re.compile(_PREFIX_PATTERN, re.IGNORECASE)
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SPEAKER_TAG_RE = re.compile(
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rf"^\[({SPEAKER_BRACKET_INNER})\]",
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re.IGNORECASE,
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)
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# Dialogue body after an optional [Speaker]: prefix (text.py lineTextRegex, etc.)
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SPEAKER_PREFIX_OPTIONAL_RE = re.compile(
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rf"(?:{_PREFIX_PATTERN})?(.+)",
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re.IGNORECASE,
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)
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def strip_speaker_prefix(text: str) -> str:
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"""Remove a leading ``[Speaker]:`` / ``[Speaker]|`` / ``[Speaker]：`` prefix."""
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if not text:
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return text
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return SPEAKER_PREFIX_RE.sub("", text, count=1)
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def extract_dialogue_after_speaker(text: str) -> str | None:
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"""Return dialogue body after an optional ``[Speaker]:`` prefix, or ``None``."""
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if not text:
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return None
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m = SPEAKER_PREFIX_OPTIONAL_RE.match(text)
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return m.group(1) if m else None
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# ============================================================================
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# RPG Maker MV/MZ speaker format detection
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# ----------------------------------------------------------------------------
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# Mirrors the detection priority of rpgmakermvmz.py searchCodes() exactly:
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#
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# Pass 1 - scan 401/405 codes in order:
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# 1. \\n<Name> / \\k<Name> inline nametag codes (always active, no flag needed)
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# 2. 【Name】 alone on a 401 line (always active, no flag needed)
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# 3. 【Name】dialogue on same 401 line (always active, no flag needed)
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# 4. Name「dialogue」 inline quote -> INLINE401SPEAKERS
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# 5. Short 401 (<40 chars) followed by 401 whose
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# text starts with 「 " ( （ * [ -> FIRSTLINESPEAKERS
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#
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# Pass 2 - only if Pass 1 produced no reliable hits:
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# 6. 101 code param[0] is a non-empty name string -> FACENAME101
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# ============================================================================
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# \\n<Name> / \\k<Name> nametag codes (always active in module)
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_NAMETAG_RE = re.compile(
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r"[\\]+[kKnN][wWcCrRrEe]?[\[<](?:[\\]*\w\[\d+\])?(.*?)(?:[\\]*\w\[\d+\])?[>]"
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)
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# 【Name】 alone on the line (with optional trailing control codes)
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_BRACKET_ALONE_RE = re.compile(
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r"^\s*【[^】]+】(?:\s*|(?:[\\]+[A-Za-z]+(?:\[(?:[^\[\]]|\[[^\]]*\])*\])+\s*)*)$"
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)
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# 【Name】dialogue on the same line
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_BRACKET_INLINE_RE = re.compile(r"^\s*【([^】]+)】(.+)", re.DOTALL)
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# Inline quote: Name「dialogue…
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_INLINE_QUOTE_RE = re.compile(r"^([^\s「」。、！？…\\\n]{1,20})「")
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# Dialogue starters that follow a FIRSTLINESPEAKERS name line
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_DIALOGUE_STARTERS = ("「", '"', "(", "（", "*", "[")
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# Minimum hits to trust a result
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_MIN_HITS = 3
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def detect_speaker_format(
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files_dir: str | Path = "files",
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sample_size: int = 20,
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) -> dict:
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"""Scan up to *sample_size* map files and determine the speaker format.
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Returns:
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{
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"best_mode": "INLINE401SPEAKERS" | "FIRSTLINESPEAKERS" | "FACENAME101"
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| "ALWAYS_ON" | "NONE",
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"scores": {
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"nametag_codes": int, # \\n<Name> hits — always handled, no flag
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"bracket_401": int, # 【Name】 hits — always handled, no flag
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"INLINE401SPEAKERS": int,
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"FIRSTLINESPEAKERS": int,
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"FACENAME101": int,
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},
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"total_401_groups": int,
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"files_scanned": int,
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"recommended_config": {
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"INLINE401SPEAKERS": bool,
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"FIRSTLINESPEAKERS": bool,
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"FACENAME101": bool,
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},
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"confidence": "high" | "medium" | "low",
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"note": str,
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}
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"""
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files_dir = Path(files_dir)
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scores = {
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"nametag_codes": 0,
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"bracket_401": 0,
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"INLINE401SPEAKERS": 0,
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"FIRSTLINESPEAKERS": 0,
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"FACENAME101": 0,
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}
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total_groups = 0
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files_scanned = 0
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# Collect map files (Maps only, not MapInfos), largest first for better signal
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map_files = sorted(
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[p for p in files_dir.glob("Map[0-9]*.json") if p.is_file()],
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key=lambda p: p.stat().st_size,
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reverse=True,
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)[:sample_size]
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for fp in map_files:
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try:
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with open(fp, "r", encoding="utf-8-sig") as fh:
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data = json.load(fh)
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except Exception:
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continue
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files_scanned += 1
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events = data.get("events") or []
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for evt in events:
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if not evt:
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continue
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for page in evt.get("pages") or []:
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cmd_list = (page or {}).get("list") or []
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_score_command_list(cmd_list, scores)
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# Count 401 groups
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i = 0
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while i < len(cmd_list):
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if cmd_list[i].get("code") in (401, 405):
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total_groups += 1
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while i < len(cmd_list) and cmd_list[i].get("code") in (401, 405, -1):
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i += 1
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continue
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i += 1
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# Also scan CommonEvents
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ce_path = files_dir / "CommonEvents.json"
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if ce_path.is_file():
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try:
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with open(ce_path, "r", encoding="utf-8-sig") as fh:
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ce_data = json.load(fh)
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files_scanned += 1
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for entry in ce_data or []:
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if not entry:
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continue
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_score_command_list(entry.get("list") or [], scores)
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except Exception:
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pass
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# ── Decision: 401-based patterns first, FACENAME101 only as fallback ────
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always_on_hits = scores["nametag_codes"] + scores["bracket_401"]
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inline_hits = scores["INLINE401SPEAKERS"]
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first_hits = scores["FIRSTLINESPEAKERS"]
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face_hits = scores["FACENAME101"]
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total_401_hits = always_on_hits + inline_hits + first_hits
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recommended = {
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"INLINE401SPEAKERS": False,
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"FIRSTLINESPEAKERS": False,
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"FACENAME101": False,
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}
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if total_401_hits >= _MIN_HITS:
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if always_on_hits >= _MIN_HITS and always_on_hits >= inline_hits and always_on_hits >= first_hits:
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best_mode = "ALWAYS_ON"
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confidence = "high" if always_on_hits > (inline_hits + first_hits) else "medium"
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note = (
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f"Speakers detected via \\\\n<Name> codes or 【Name】 brackets "
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f"({always_on_hits} hits) — no extra flags needed. "
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f"INLINE={inline_hits}, FIRSTLINE={first_hits}. "
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f"Scanned {files_scanned} file(s), {total_groups} dialogue group(s)."
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)
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elif inline_hits >= first_hits:
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best_mode = "INLINE401SPEAKERS"
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recommended["INLINE401SPEAKERS"] = True
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confidence = "high" if inline_hits > first_hits * 2 else "medium"
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note = (
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f"INLINE401SPEAKERS: {inline_hits} hits "
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f"(FIRSTLINESPEAKERS: {first_hits}, always-on: {always_on_hits}). "
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f"Scanned {files_scanned} file(s), {total_groups} dialogue group(s)."
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)
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else:
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best_mode = "FIRSTLINESPEAKERS"
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recommended["FIRSTLINESPEAKERS"] = True
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confidence = "high" if first_hits > inline_hits * 2 else "medium"
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note = (
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f"FIRSTLINESPEAKERS: {first_hits} hits "
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f"(INLINE401SPEAKERS: {inline_hits}, always-on: {always_on_hits}). "
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f"Scanned {files_scanned} file(s), {total_groups} dialogue group(s)."
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)
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elif face_hits >= _MIN_HITS:
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best_mode = "FACENAME101"
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recommended["FACENAME101"] = True
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confidence = "high" if face_hits > _MIN_HITS * 2 else "medium"
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note = (
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f"No 401-based speaker pattern found (401 hits: {total_401_hits}). "
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f"FACENAME101 recommended based on {face_hits} 101-code name hits. "
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f"Scanned {files_scanned} file(s), {total_groups} dialogue group(s)."
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)
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else:
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best_mode = "NONE"
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confidence = "low"
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note = (
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f"No reliable speaker pattern detected "
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f"(401 hits: {total_401_hits}, FACENAME101 hits: {face_hits}). "
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f"Scanned {files_scanned} file(s), {total_groups} dialogue group(s). "
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"Check speaker settings manually."
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)
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return {
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"best_mode": best_mode,
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"scores": scores,
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"total_401_groups": total_groups,
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"files_scanned": files_scanned,
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"recommended_config": recommended,
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"confidence": confidence,
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"note": note,
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}
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def _score_command_list(cmd_list: list, scores: dict) -> None:
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"""Walk a command list and score speaker patterns in module priority order."""
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if not cmd_list:
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return
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i = 0
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while i < len(cmd_list):
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cmd = cmd_list[i]
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code = cmd.get("code")
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params = cmd.get("parameters") or []
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# ── 101: Show Text / face name ────────────────────────────────────────
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if code == 101:
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# FACENAME101: param[0] is a non-empty face-name string
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face = params[0] if params else ""
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if isinstance(face, str) and face.strip():
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scores["FACENAME101"] += 1
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i += 1
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continue
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# ── 401 / 405: dialogue line ──────────────────────────────────────────
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if code in (401, 405):
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text = (params[0] if params else "") or ""
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# 1. \\n<Name> nametag codes (always active — no flag needed)
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if _NAMETAG_RE.search(text):
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scores["nametag_codes"] += 1
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i += 1
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continue # module strips the nametag before further processing
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# 2+3. 【Name】 alone on line, or 【Name】dialogue inline (always active)
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if _BRACKET_ALONE_RE.match(text) or _BRACKET_INLINE_RE.match(text):
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scores["bracket_401"] += 1
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i += 1
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continue
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# 4. INLINE401SPEAKERS: Name「dialogue
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if _INLINE_QUOTE_RE.match(text):
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scores["INLINE401SPEAKERS"] += 1
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i += 1
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continue
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# 5. FIRSTLINESPEAKERS: short line followed by 401 starting with
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# a dialogue-starter character
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if (
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len(text) < 40
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and _has_japanese(text)
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and not any(text.lstrip().startswith(s) for s in _DIALOGUE_STARTERS)
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):
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j = i + 1
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while j < len(cmd_list) and cmd_list[j].get("code") == -1:
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j += 1
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if j < len(cmd_list) and cmd_list[j].get("code") in (401, 405):
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next_params = cmd_list[j].get("parameters") or []
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next_text = (next_params[0] if next_params else "") or ""
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# Strip leading RPGMaker control codes before checking starter
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next_stripped = re.sub(
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r"^(?:[\\]+[^cCnNiIkKvVSs{}]+?\[[\d\w\W]+?\]?\])+",
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"", next_text,
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).lstrip()
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if next_stripped and next_stripped[0] in _DIALOGUE_STARTERS:
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scores["FIRSTLINESPEAKERS"] += 1
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i += 1
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continue
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i += 1
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_JP_RE = re.compile(
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r"[\u3000-\u303F\u3040-\u309F\u30A0-\u30FF\u4E00-\u9FFF\uF900-\uFAFF\uFF61-\uFF9F]"
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)
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def _has_japanese(text: str) -> bool:
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return bool(_JP_RE.search(text))
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# ============================================================================
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# WOLF (WolfDawn) first-line speaker reshaping
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# ----------------------------------------------------------------------------
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# WolfDawn attributes a speaker to every extracted line (``speaker`` /
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# ``speaker_src`` fields). For the two "first-line" formats the speaker name is
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# baked into line 1 of the ``source`` text, e.g.::
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#
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# "市民\nおぉっ！来た！帰ってきたぞ！" speaker_src = literal_line1_lowconf
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# "セルリア\nほーら、ローザも手を振って。" speaker_src = literal_line1
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#
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# When translating we reshape those into ``[Speaker]: body`` (the prompt already
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# knows to translate the tag) and, on write-back, restore WOLF's native
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# ``Speaker\nbody`` layout so injection stays byte-faithful.
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#
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# WolfDawn does the detection, so there is nothing to configure for the reliable
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# format: ``literal_line1`` is a real nameplate (a face window precedes the line),
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# always reshaped, no toggle. Only ``literal_line1_lowconf`` is a heuristic guess
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# (short line 1, no face window) that can occasionally be wrong; whether to trust
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# it is a per-game call, so it is the single configurable format
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# (``data/wolf_speakers.json``), recommended by the workflow's speaker-format AI
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# prompt rather than guessed by hand.
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# ============================================================================
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# speaker_src values whose name is baked into line 1 of the source text.
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FIRSTLINE_SRCS = ("literal_line1", "literal_line1_lowconf")
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# Reliable nameplate - always reshaped, not user-configurable.
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ALWAYS_ON_SRCS = ("literal_line1",)
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# Heuristic guess - reshaping is gated by config (per-game, AI-recommended).
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CONFIGURABLE_SRCS = ("literal_line1_lowconf",)
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# Default: also reshape the low-confidence guess. WolfDawn already gates it (short
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# line 1, no control codes, no sentence punctuation), so it is safe enough on by
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# default; the speaker-format prompt can advise turning it off for a given game.
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DEFAULT_CONFIG = {
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"literal_line1_lowconf": True,
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}
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CONFIG_PATH = DATA_DIR / "wolf_speakers.json"
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# Optional leading window-option prefix (``@<option>\n``) that WolfDawn keeps in
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# the raw source; preserved verbatim so the reshaped/restored text still matches.
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_WINDOW_PREFIX_RE = re.compile(r"^@[^\n]*\n")
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def load_config() -> dict:
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"""Return the WOLF speaker-format config, filling in defaults for missing keys."""
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cfg = dict(DEFAULT_CONFIG)
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try:
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if CONFIG_PATH.is_file():
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data = json.loads(CONFIG_PATH.read_text(encoding="utf-8"))
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if isinstance(data, dict):
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for key in DEFAULT_CONFIG:
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if key in data:
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cfg[key] = bool(data[key])
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except Exception:
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pass
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return cfg
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def save_config(config: dict) -> None:
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"""Persist the WOLF speaker-format config (only known keys are written)."""
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out = {key: bool(config.get(key, DEFAULT_CONFIG[key])) for key in DEFAULT_CONFIG}
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DATA_DIR.mkdir(parents=True, exist_ok=True)
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CONFIG_PATH.write_text(json.dumps(out, indent=4), encoding="utf-8")
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def is_firstline_enabled(speaker_src: str, config: dict | None = None) -> bool:
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"""True if *speaker_src* is a first-line format that should be reshaped.
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The reliable nameplate (``literal_line1``) is always on; the low-confidence
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guess is gated by *config* (per-game, AI-recommended).
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"""
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if speaker_src in ALWAYS_ON_SRCS:
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return True
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if speaker_src not in CONFIGURABLE_SRCS:
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return False
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cfg = config if config is not None else DEFAULT_CONFIG
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return bool(cfg.get(speaker_src, DEFAULT_CONFIG.get(speaker_src, False)))
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def split_window_prefix(text: str) -> tuple[str, str]:
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"""Split a leading ``@<option>\\n`` window prefix off *text*.
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Returns ``(prefix, rest)`` where ``prefix`` is ``""`` when there is no such
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prefix. The prefix is preserved verbatim so wrapping/reshaping stays
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byte-faithful for WolfDawn's inject drift-guard.
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"""
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if not isinstance(text, str):
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return "", text
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m = _WINDOW_PREFIX_RE.match(text)
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if not m:
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return "", text
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return m.group(0), text[m.end():]
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def split_source(source: str, speaker_src: str, config: dict | None = None):
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"""Split a first-line-speaker source into (prefix, speaker, body).
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Returns ``None`` when the line is not an enabled first-line-speaker format or
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cannot be split (no body after the name).
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"""
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if not isinstance(source, str) or not is_firstline_enabled(speaker_src, config):
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return None
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prefix, rest = split_window_prefix(source)
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if "\n" not in rest:
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return None
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line1, body = rest.split("\n", 1)
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if not line1.strip():
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return None
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return prefix, line1, body
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def to_prefixed(speaker: str, body: str) -> str:
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"""Build the ``[Speaker]: body`` transport string sent to the model."""
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return f"[{speaker}]: {body}"
|
||
|
||
|
||
def parse_prefixed(text: str):
|
||
"""Parse a translated ``[Speaker]: body`` string.
|
||
|
||
Returns (speaker, body). ``speaker`` is ``None`` when the model did not emit a
|
||
``[Speaker]:`` prefix, in which case ``body`` is the whole string.
|
||
"""
|
||
if not isinstance(text, str):
|
||
return None, text
|
||
m = SPEAKER_TAG_RE.match(text)
|
||
if not m:
|
||
return None, text
|
||
return m.group(1).strip(), strip_speaker_prefix(text)
|
||
|
||
|
||
def restore_source(prefix: str, speaker: str, body: str) -> str:
|
||
"""Rebuild WOLF's native ``Speaker\nbody`` layout (with any window prefix)."""
|
||
return f"{prefix}{speaker}\n{body}"
|