feat: generate a book with all installed models to compare

1 files changed, 39 insertions, 0 deletions

diff --git a/app/tests/test_converter.py b/app/tests/test_converter.py
index eaf96ef..41b9cad 100644
--- a/app/tests/test_converter.py
+++ b/app/tests/test_converter.py
@@ -594,6 +594,45 @@ class PreflightOverwritesTests(unittest.TestCase):
         self.assertEqual(len(book_files), 1)
         self.assertEqual(planned, [])
 
+    def test_name_tag_inserts_the_model_into_output_names(self):
+        # "All (multiple generation)" runs plan each model separately: the
+        # sanitized model id sits between the book stem and the narrator
+        # tag, so the per-model outputs never collide.
+        with patch("builtins.input", side_effect=AssertionError("should not prompt")):
+            book_files, planned = AudiobookConverter.preflight_overwrites(
+                BACKEND_AUDIOCPP, "Vivian", VOICE_MODE_CUSTOM, None, "mp3",
+                name_tag="qwen3_tts_1_7b_base_q8_0")
+        self.assertEqual(planned,
+                         [(book_files[0],
+                           "book_qwen3_tts_1_7b_base_q8_0_Vivian")])
+
+    def test_name_tag_after_the_stem_collision_suffix(self):
+        (converter_mod.BOOKS_FOLDER / "book.epub").write_text("x",
+                                                              encoding="utf-8")
+        with patch("builtins.input", side_effect=AssertionError("should not prompt")):
+            book_files, planned = AudiobookConverter.preflight_overwrites(
+                BACKEND_AUDIOCPP, "Vivian", VOICE_MODE_CUSTOM, None, "mp3",
+                name_tag="m1")
+        names = {name for _book, name in planned}
+        self.assertEqual(names, {"book_txt_m1_Vivian", "book_epub_m1_Vivian"})
+
+
+class ComputeModelTagTests(unittest.TestCase):
+    """compute_model_tag: the sanitized model id used in output names."""
+
+    def test_plain_id_passes_through(self):
+        self.assertEqual(AudiobookConverter.compute_model_tag(
+            "qwen3_tts_1_7b_base_q8_0"), "qwen3_tts_1_7b_base_q8_0")
+
+    def test_invalid_characters_and_spaces_become_underscores(self):
+        self.assertEqual(AudiobookConverter.compute_model_tag(
+            "model with spaces/colon"),
+            "model_with_spaces_colon")
+
+    def test_blank_falls_back(self):
+        self.assertEqual(AudiobookConverter.compute_model_tag(""), "model")
+        self.assertEqual(AudiobookConverter.compute_model_tag(None), "model")
+
 
 class RunOverwritePromptTests(unittest.TestCase):
     """The full run() flow: prompts collected before any conversion starts."""