Flatten skill category directory structure

audio-creation/audiobook/scripts/print_preview_calls.py

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+#!/usr/bin/env python3
+"""Phase 3 Step 3.2: Print audios_generation calls for voice preview samples.
+
+Usage: python3 scripts/print_preview_calls.py
+
+Reads preview_plan.json, auto-assigns normalized filenames if missing,
+writes them back, and prints grouped audios_generation calls (max 3 per wave).
+"""
+import json, os, re
+from pathlib import Path
+
+PROJECT_DIR = Path(os.getcwd())
+AUDIOBOOK_ROOT = PROJECT_DIR / ".audiobook"
+BOOK_DIR = next(d for d in sorted(AUDIOBOOK_ROOT.iterdir()) if d.is_dir() and (d / ".audiobook-state.json").exists())
+
+plan_path = BOOK_DIR / "voice_samples" / "preview_plan.json"
+plan = json.loads(plan_path.read_text(encoding="utf-8"))
+
+
+def normalize_role(role_name: str) -> str:
+    """Convert role name to ASCII-safe filename component."""
+    ascii_only = re.sub(r'[^\x00-\x7F]', '', role_name)
+    if not ascii_only.strip():
+        return f"role{abs(hash(role_name)) % 10000:04d}"
+    normalized = re.sub(r'[^a-zA-Z0-9]+', '_', ascii_only).strip('_').lower()
+    return normalized or f"role{abs(hash(role_name)) % 10000:04d}"
+
+
+# Auto-assign filenames if missing
+used_filenames = set()
+updated = False
+global_idx = 0  # collision fallback counter
+
+for role in plan:
+    role_tag = normalize_role(role["role"])
+    for ci, c in enumerate(role["candidates"]):
+        if not c.get("filename"):
+            fn = f"preview_{role_tag}_{ci}"
+            # Handle collisions
+            if fn in used_filenames:
+                fn = f"preview_{global_idx}"
+                global_idx += 1
+            c["filename"] = fn
+            updated = True
+        used_filenames.add(c["filename"])
+
+if updated:
+    plan_path.write_text(json.dumps(plan, ensure_ascii=False, indent=2), encoding="utf-8")
+    print(f"Auto-assigned filenames written back to {plan_path.name}\n")
+
+
+# Flatten all calls: 1 call per candidate
+calls = []
+for role in plan:
+    for c in role["candidates"]:
+        calls.append({
+            "text": role["sample_text"],
+            "voice_id": c["voice_id"],
+            "speed": role["speed"],
+            "filename": c["filename"],
+        })
+
+# Group into waves of 3
+MAX_PER_WAVE = 3
+waves = [calls[i:i+MAX_PER_WAVE] for i in range(0, len(calls), MAX_PER_WAVE)]
+
+print(f"=== Preview Plan: {len(calls)} samples, {len(waves)} waves ===\n")
+for w_i, wave in enumerate(waves):
+    print(f"--- Wave {w_i+1} ({len(wave)} calls) ---")
+    for c in wave:
+        print(f"  audios_generation(")
+        print(f"    texts=[{repr(c['text'])}],")
+        print(f"    voice_id={repr(c['voice_id'])},")
+        print(f"    speed={c['speed']},")
+        print(f"    filenames=[{repr(c['filename'])}]")
+        print(f"  )")
+    print()