fix: skip tests if no ebooklib

2 files changed, 10 insertions, 23 deletions

diff --git a/converter/audio.py b/converter/audio.py
index 3e163be..01f78ab 100644
--- a/converter/audio.py
+++ b/converter/audio.py
@@ -337,35 +337,27 @@ def verify_output_duration(path: Path, expected_ms: int) -> bool:
 
 
 def _collect_chunk_files(total_chunks: int,
-                         chunk_results: Optional[Dict[int, Optional[Path]]] = None
+                         chunk_results: Dict[int, Optional[Path]]
                          ) -> Tuple[List[Path], List[int]]:
     """Resolve chunk audio files in book order.
 
-    When ``chunk_results`` is provided (chunk number -> path written, or None
-    for a failed chunk), the recorded paths are used exactly as-is so stale
-    files from a previous chapter can never leak in. Without it, the chunks
-    folder is globbed per index (legacy discovery).
+    ``chunk_results`` maps chunk number -> path written (or None for a failed
+    chunk); recorded paths are used exactly as-is so stale files from a
+    previous chapter can never leak in.
     """
     chunk_files: List[Path] = []
     missing: List[int] = []
     for i in range(1, total_chunks + 1):
-        if chunk_results is not None:
-            recorded = chunk_results.get(i)
-            if recorded is not None and Path(recorded).exists():
-                chunk_files.append(Path(recorded))
-            else:
-                missing.append(i)
-            continue
-        matches = sorted(CHUNKS_FOLDER.glob(f"chunk_{i:04d}.*"))
-        if matches:
-            chunk_files.append(matches[0])
+        recorded = chunk_results.get(i)
+        if recorded is not None and Path(recorded).exists():
+            chunk_files.append(Path(recorded))
         else:
             missing.append(i)
     return chunk_files, missing
 
 
 def combine_chunks(total_chunks: int, output_path: Path,
-                   chunk_results: Optional[Dict[int, Optional[Path]]] = None,
+                   chunk_results: Dict[int, Optional[Path]],
                    speed: float = 1.0, output_format: str = config.AUDIO_FORMAT,
                    intermediate: bool = False,
                    meta: Optional[TrackMeta] = None,
diff --git a/converter/converter.py b/converter/converter.py
index e36face..4422316 100644
--- a/converter/converter.py
+++ b/converter/converter.py
@@ -15,6 +15,7 @@ from typing import Dict, List, Optional, Tuple
 from . import audio, chunking, config, cover, extractors
 from .audio import TrackMeta
 from .tts import (
+    MODEL_SIZE,
     VOICE_MODE_CLONE,
     VOICE_MODE_CUSTOM,
     VOICE_MODES,
@@ -435,14 +436,12 @@ class AudiobookConverter:
 
             logger.info("Extracted %d characters (%d words)", len(text), len(text.split()))
 
-            # Split into chunks
             chunks = chunking.split_into_chunks(text)
             total_chunks = len(chunks)
             if total_chunks == 0:
                 logger.error("No chunks created")
                 return False
 
-            # Log chunk info
             chunk_sizes = [len(chunk.split()) for chunk in chunks]
             avg_chunk_size = sum(chunk_sizes) / len(chunk_sizes)
             logger.info("Split into %d chunks (avg %.0f words per chunk)", total_chunks, avg_chunk_size)
@@ -460,7 +459,6 @@ class AudiobookConverter:
                 logger.warning("Only %d/%d chunks succeeded. Proceeding with partial audiobook.",
                                successful_chunks, total_chunks)
 
-            # Combine chunks (only the successful ones)
             success = audio.combine_chunks(total_chunks, output_path, chunk_results=results,
                                            speed=speed, output_format=output_format,
                                            intermediate=chapter is not None,
@@ -504,7 +502,7 @@ class AudiobookConverter:
                        else config.QWEN_API_URL)
             print(f"Qwen API endpoint: {api_url}")
             print(f"Voice mode: {self.voice_mode}")
-            print("Model size: 1.7B (always)")
+            print(f"Model size: {MODEL_SIZE} (always)")
             if self.voice_mode == VOICE_MODE_CUSTOM:
                 print(f"Speaker: {config.SPEAKER}")
                 print(f"Language: {self.language}")
@@ -525,7 +523,6 @@ class AudiobookConverter:
         run_start = time.time()
         self._print_banner()
 
-        # Check for books
         book_files = sorted(
             f for f in BOOKS_FOLDER.iterdir()
             if f.is_file() and f.suffix.lower() in SUPPORTED_FORMATS
@@ -571,7 +568,6 @@ class AudiobookConverter:
 
         print(f"[INFO] Converting {len(planned)} of {len(book_files)} book(s)")
 
-        # Convert each book
         results = {}
         for book_file, output_name in planned:
             try:
@@ -585,7 +581,6 @@ class AudiobookConverter:
                 logger.error("Unexpected error: %s", exc)
                 results[book_file.name] = False
 
-        # Print summary
         successful = sum(results.values())
         total = len(results)