264 lines
9.6 KiB
Python
264 lines
9.6 KiB
Python
#!/usr/bin/env python3
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"""Unit tests for the WolfDawn translation module (modules/wolfdawn.py).
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Covers each WolfDawn document ``kind``: translatable (Japanese) leaves get their
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``text`` filled in while ``source`` is preserved, and non-translatable leaves are
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left untouched so WolfDawn injection treats them as no-ops.
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"""
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from __future__ import annotations
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import copy
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import json
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import os
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import sys
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import tempfile
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import unittest
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from pathlib import Path
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from dotenv import load_dotenv
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ROOT = Path(__file__).resolve().parents[1]
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os.chdir(ROOT)
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sys.path.insert(0, str(ROOT))
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load_dotenv(ROOT / ".env", override=True)
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import modules.wolfdawn as wd # noqa: E402
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def _mock_translate(text, history, history_ctx=None):
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"""Return an EN_ prefixed translation for each item, preserving list length."""
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if isinstance(text, list):
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return [[f"EN_{t}" for t in text], [1, 1]]
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return [f"EN_{text}", [1, 1]]
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class _WolfTranslateHarness:
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"""Run parseDocument with translateAI mocked and captured payloads recorded."""
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def __init__(self):
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self.captured = []
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def run(self, data, filename="doc.json", estimate=False):
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def translate(text, history, history_ctx=None):
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self.captured.append(copy.deepcopy(text))
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return _mock_translate(text, history, history_ctx)
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orig_t = wd.translateAI
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orig_estimate = wd.ESTIMATE
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wd.translateAI = translate
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wd.ESTIMATE = estimate
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try:
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data_copy = copy.deepcopy(data)
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result = wd.parseDocument(data_copy, filename)
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return result, self.captured
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finally:
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wd.translateAI = orig_t
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wd.ESTIMATE = orig_estimate
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MAP_DOC = {
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"file": "Map001.mps",
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"kind": "map",
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"scenes": [
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{
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"event": 1,
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"name": "ev",
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"lines": [
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{"cmd": 0, "str": 0, "speaker": "NPC", "speaker_src": "x", "source": "こんにちは", "text": "こんにちは"},
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{"cmd": 1, "str": 0, "speaker": "", "speaker_src": "", "source": "OK", "text": "OK"},
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],
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}
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],
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}
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DB_DOC = {
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"file": "DataBase.project",
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"kind": "db",
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"groups": [
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{"type": 0, "typeName": "Item", "lines": [
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{"row": 0, "field": 2, "rowName": "ポーション", "fieldName": "説明", "source": "HPを回復", "text": "HPを回復"},
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]}
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],
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}
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GAMEDAT_DOC = {
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"file": "Game.dat",
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"kind": "gamedat",
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"lines": [{"key": "Title", "source": "ゲームタイトル", "text": "ゲームタイトル"}],
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}
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NAMES_DOC = {
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"kind": "names",
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"count": 1,
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"names": [{"source": "剣", "text": "剣", "occurrences": 2, "note": "Item"}],
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}
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TXTDIR_DOC = {
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"kind": "txt-dir",
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"files": [
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{"file": "a.txt", "kind": "txt", "encoding": "sjis", "eol": "crlf",
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"lines": [{"i": 0, "source": "せりふ", "text": "せりふ"}]},
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],
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}
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class TestCollectEntries(unittest.TestCase):
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def test_counts_per_kind(self):
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self.assertEqual(len(wd.collectEntries(MAP_DOC)), 2)
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self.assertEqual(len(wd.collectEntries(DB_DOC)), 1)
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self.assertEqual(len(wd.collectEntries(GAMEDAT_DOC)), 1)
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self.assertEqual(len(wd.collectEntries(NAMES_DOC)), 1)
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self.assertEqual(len(wd.collectEntries(TXTDIR_DOC)), 1)
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class TestTranslationWriteback(unittest.TestCase):
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def test_map_translates_japanese_only(self):
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(data, _tokens, err), captured = _WolfTranslateHarness().run(MAP_DOC, "Map001.mps.json")
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self.assertIsNone(err)
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lines = data["scenes"][0]["lines"]
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# Japanese line got translated; source preserved.
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self.assertEqual(lines[0]["text"], "EN_こんにちは")
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self.assertEqual(lines[0]["source"], "こんにちは")
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# Non-Japanese line left as-is (text == source), never sent to the model.
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self.assertEqual(lines[1]["text"], "OK")
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self.assertEqual(captured, [["こんにちは"]])
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def test_db_translates(self):
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(data, _t, err), _c = _WolfTranslateHarness().run(DB_DOC, "DataBase.project.json")
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self.assertIsNone(err)
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line = data["groups"][0]["lines"][0]
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self.assertEqual(line["text"], "EN_HPを回復")
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self.assertEqual(line["source"], "HPを回復")
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def test_gamedat_translates(self):
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(data, _t, err), _c = _WolfTranslateHarness().run(GAMEDAT_DOC, "Game.dat.json")
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self.assertIsNone(err)
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self.assertEqual(data["lines"][0]["text"], "EN_ゲームタイトル")
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def test_names_translates(self):
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(data, _t, err), _c = _WolfTranslateHarness().run(NAMES_DOC, "names.json")
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self.assertIsNone(err)
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self.assertEqual(data["names"][0]["text"], "EN_剣")
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self.assertEqual(data["names"][0]["source"], "剣")
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def test_txtdir_translates(self):
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(data, _t, err), _c = _WolfTranslateHarness().run(TXTDIR_DOC, "Evtext.json")
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self.assertIsNone(err)
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self.assertEqual(data["files"][0]["lines"][0]["text"], "EN_せりふ")
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def test_estimate_mode_does_not_write(self):
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(data, _t, err), _c = _WolfTranslateHarness().run(MAP_DOC, "Map001.mps.json", estimate=True)
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self.assertIsNone(err)
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# In estimate mode text stays equal to source.
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self.assertEqual(data["scenes"][0]["lines"][0]["text"], "こんにちは")
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import re # noqa: E402
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def _mock_translate_speaker(text, history=None, history_ctx=None):
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"""Emulate a model that keeps the [Speaker]: format when present."""
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def one(t):
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m = re.match(r"^\[([^\]]*)\]:\s*(.*)$", t, re.DOTALL)
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if m:
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return f"[EN_{m.group(1)}]: EN_{m.group(2)}"
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return f"EN_{t}"
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if isinstance(text, list):
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return [[one(t) for t in text], [1, 1]]
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return [one(text), [1, 1]]
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SPEAKER_MAP_DOC = {
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"file": "OP.mps",
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"kind": "map",
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"scenes": [
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{
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"event": 0, "name": "ev",
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"lines": [
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{"cmd": 26, "str": 0, "speaker": "市民", "speaker_src": "literal_line1_lowconf",
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"source": "市民\nおはよう\n元気？", "text": "市民\nおはよう\n元気？"},
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{"cmd": 27, "str": 0, "speaker": "セルリア", "speaker_src": "literal_line1",
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"source": "セルリア\nふふふ", "text": "セルリア\nふふふ"},
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{"cmd": 28, "str": 0, "speaker": "Narration", "speaker_src": "narration",
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"source": "むかしむかし", "text": "むかしむかし"},
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],
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}
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],
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}
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class _SpeakerHarness:
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"""Run parseDocument with the speaker-aware mock and a chosen speaker config."""
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def __init__(self, config):
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self.config = config
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self.captured = []
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def run(self, data, filename="OP.mps.json"):
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def translate(text, history=None, history_ctx=None):
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self.captured.append(copy.deepcopy(text))
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return _mock_translate_speaker(text, history, history_ctx)
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orig_t, orig_est, orig_cfg = wd.translateAI, wd.ESTIMATE, wd.SPEAKER_CONFIG
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wd.translateAI = translate
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wd.ESTIMATE = False
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wd.SPEAKER_CONFIG = self.config
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try:
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result = wd.parseDocument(copy.deepcopy(data), filename)
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return result, self.captured
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finally:
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wd.translateAI, wd.ESTIMATE, wd.SPEAKER_CONFIG = orig_t, orig_est, orig_cfg
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class TestSpeakerReshaping(unittest.TestCase):
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def test_firstline_speakers_reshaped_and_restored(self):
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cfg = {"literal_line1": True, "literal_line1_lowconf": True}
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(data, _t, err), captured = _SpeakerHarness(cfg).run(SPEAKER_MAP_DOC)
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self.assertIsNone(err)
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# Model saw the [Speaker]: transport for the two nameplate lines.
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self.assertEqual(
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captured[0],
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["[市民]: おはよう\n元気？", "[セルリア]: ふふふ", "むかしむかし"],
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)
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lines = data["scenes"][0]["lines"]
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# Restored to WOLF's native Speaker\nbody layout.
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self.assertEqual(lines[0]["text"], "EN_市民\nEN_おはよう\n元気？")
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self.assertEqual(lines[1]["text"], "EN_セルリア\nEN_ふふふ")
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# Narration was translated as a plain blob.
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self.assertEqual(lines[2]["text"], "EN_むかしむかし")
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# Sources are preserved for the inject drift guard.
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self.assertEqual(lines[0]["source"], "市民\nおはよう\n元気？")
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# Original layout (newline count) preserved on the reshaped lines.
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self.assertEqual(lines[0]["source"].count("\n"), lines[0]["text"].count("\n"))
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def test_disabled_format_sends_raw_blob(self):
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cfg = {"literal_line1": True, "literal_line1_lowconf": False}
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(data, _t, err), captured = _SpeakerHarness(cfg).run(SPEAKER_MAP_DOC)
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self.assertIsNone(err)
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# Low-confidence line is sent as the raw source (no reshaping).
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self.assertIn("市民\nおはよう\n元気？", captured[0])
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self.assertIn("[セルリア]: ふふふ", captured[0])
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lines = data["scenes"][0]["lines"]
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self.assertEqual(lines[0]["text"], "EN_市民\nおはよう\n元気？")
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class TestOpenFiles(unittest.TestCase):
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def test_rejects_unknown_kind(self):
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with tempfile.TemporaryDirectory() as td:
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files_dir = Path(td) / "files"
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files_dir.mkdir()
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bad = files_dir / "bad.json"
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bad.write_text(json.dumps({"kind": "nope"}), encoding="utf-8")
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cwd = os.getcwd()
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os.chdir(td)
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try:
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with self.assertRaises(NameError):
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wd.openFiles("bad.json")
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finally:
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os.chdir(cwd)
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if __name__ == "__main__":
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unittest.main(verbosity=2)
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