Import AITURK IDE 1.0.0-beta.1 from Hermes 63279301; preserve MIT license

tests/tools/test_tts_max_text_length.py

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+"""Tests for per-provider TTS input-character limits.
+
+With long-form chunking, text exceeding the provider cap is split into
+ordered chunks instead of silently truncated. Each chunk is synthesized
+separately and the results are combined or delivered as multiple files.
+"""
+
+import json
+
+
+from tools.tts_tool import (
+    FALLBACK_MAX_TEXT_LENGTH,
+    PROVIDER_MAX_TEXT_LENGTH,
+    _resolve_max_text_length,
+)
+
+
+class TestResolveMaxTextLength:
+    def test_edge_default(self):
+        assert _resolve_max_text_length("edge", {}) == PROVIDER_MAX_TEXT_LENGTH["edge"]
+
+    def test_openai_default_is_4096(self):
+        assert _resolve_max_text_length("openai", {}) == 4096
+
+    def test_xai_default_is_15000(self):
+        assert _resolve_max_text_length("xai", {}) == 15000
+
+    def test_minimax_default_is_10000(self):
+        assert _resolve_max_text_length("minimax", {}) == 10000
+
+    def test_mistral_default(self):
+        assert _resolve_max_text_length("mistral", {}) == PROVIDER_MAX_TEXT_LENGTH["mistral"]
+
+    def test_gemini_default(self):
+        assert _resolve_max_text_length("gemini", {}) == PROVIDER_MAX_TEXT_LENGTH["gemini"]
+
+    def test_unknown_provider_falls_back(self):
+        assert _resolve_max_text_length("does-not-exist", {}) == FALLBACK_MAX_TEXT_LENGTH
+
+    def test_empty_provider_falls_back(self):
+        assert _resolve_max_text_length("", {}) == FALLBACK_MAX_TEXT_LENGTH
+        assert _resolve_max_text_length(None, {}) == FALLBACK_MAX_TEXT_LENGTH
+
+
+    # --- Overrides ---
+
+
+    # --- ElevenLabs model-aware ---
+
+
+    # --- Sanity: the table covers every provider listed in the schema ---
+
+    def test_all_documented_providers_have_defaults(self):
+        expected = {"edge", "openai", "xai", "minimax", "mistral",
+                    "gemini", "elevenlabs", "neutts", "kittentts"}
+        assert expected.issubset(PROVIDER_MAX_TEXT_LENGTH.keys())
+
+
+class TestTextToSpeechToolChunking:
+    """End-to-end: verify the resolver drives text_to_speech_tool to split
+    per-request chunks rather than the old 4000-char global truncation."""
+
+    def test_openai_chunks_at_4096_without_dropping_text(self, tmp_path, monkeypatch):
+        # 5000 chars -- over OpenAI's 4096 limit but under xAI's 15k
+        text = "A" * 5000
+        captured_text = []
+
+        def fake_openai(t, out, cfg, **_kw):
+            captured_text.append(t)
+            with open(out, "wb") as f:
+                f.write(b"\x00")
+            return out
+
+        def fake_combine(paths, output_path, *, voice_compatible=False):
+            with open(output_path, "wb") as destination:
+                for path in paths:
+                    with open(path, "rb") as source:
+                        destination.write(source.read())
+            return output_path
+
+        monkeypatch.setattr("tools.tts_tool._generate_openai_tts", fake_openai)
+        monkeypatch.setattr("tools.tts_tool._concat_audio_files", fake_combine)
+        monkeypatch.setattr("tools.tts_tool._load_tts_config",
+                            lambda: {"provider": "openai"})
+
+        from tools.tts_tool import text_to_speech_tool
+        out = str(tmp_path / "out.mp3")
+        result = json.loads(text_to_speech_tool(text=text, output_path=out))
+
+        assert result["success"] is True
+        assert [len(chunk) for chunk in captured_text] == [4096, 904]
+        assert "".join(captured_text) == text
+        assert result["chunk_count"] == 2
+
+    def test_xai_accepts_much_longer_input(self, tmp_path, monkeypatch):
+        # 12000 chars -- over old global 4000, under xAI's 15000
+        text = "B" * 12000
+        captured_text = {}
+
+        def fake_xai(t, out, cfg):
+            captured_text["text"] = t
+            with open(out, "wb") as f:
+                f.write(b"\x00")
+            return out
+
+        monkeypatch.setattr("tools.tts_tool._generate_xai_tts", fake_xai)
+        monkeypatch.setattr("tools.tts_tool._load_tts_config",
+                            lambda: {"provider": "xai"})
+
+        from tools.tts_tool import text_to_speech_tool
+        out = str(tmp_path / "out.mp3")
+        result = json.loads(text_to_speech_tool(text=text, output_path=out))
+
+        assert result["success"] is True
+        # xAI should accept the full 12000 chars in a single chunk
+        assert len(captured_text["text"]) == 12000
+
+    def test_user_override_is_respected(self, tmp_path, monkeypatch):
+        # User says "cap openai at 100 chars" -- we must honor it
+        text = "C" * 500
+        captured_text = []
+
+        def fake_openai(t, out, cfg, **_kw):
+            captured_text.append(t)
+            with open(out, "wb") as f:
+                f.write(b"\x00")
+            return out
+
+        def fake_combine(paths, output_path, *, voice_compatible=False):
+            with open(output_path, "wb") as destination:
+                for path in paths:
+                    with open(path, "rb") as source:
+                        destination.write(source.read())
+            return output_path
+
+        monkeypatch.setattr("tools.tts_tool._generate_openai_tts", fake_openai)
+        monkeypatch.setattr("tools.tts_tool._concat_audio_files", fake_combine)
+        monkeypatch.setattr("tools.tts_tool._load_tts_config",
+                            lambda: {"provider": "openai",
+                                     "openai": {"max_text_length": 100}})
+
+        from tools.tts_tool import text_to_speech_tool
+        out = str(tmp_path / "out.mp3")
+        result = json.loads(text_to_speech_tool(text=text, output_path=out))
+
+        assert result["success"] is True
+        assert all(len(chunk) <= 100 for chunk in captured_text)
+        assert "".join(captured_text) == text