feat(training+controls): interactive video pipeline, training blocks, control generator, CE libraries

Interactive Training Videos (CP-TRAIN):
- DB migration 022: training_checkpoints + checkpoint_progress tables
- NarratorScript generation via Anthropic (AI Teacher persona, German)
- TTS batch synthesis + interactive video pipeline (slides + checkpoint slides + FFmpeg)
- 4 new API endpoints: generate-interactive, interactive-manifest, checkpoint submit, checkpoint progress
- InteractiveVideoPlayer component (HTML5 Video, quiz overlay, seek protection, progress tracking)
- Learner portal integration with automatic completion on all checkpoints passed
- 30 new tests (handler validation + grading logic + manifest/progress + seek protection)

Training Blocks:
- Block generator, block store, block config CRUD + preview/generate endpoints
- Migration 021: training_blocks schema

Control Generator + Canonical Library:
- Control generator routes + service enhancements
- Canonical control library helpers, sidebar entry
- Citation backfill service + tests
- CE libraries data (hazard, protection, evidence, lifecycle, components)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

compliance-tts-service/tts_engine.py

@@ -74,7 +74,7 @@ class PiperTTS:
         if proc.returncode != 0:
             raise RuntimeError(f"Piper failed: {proc.stderr}")
 
-    def synthesize_to_mp3(self, text: str, output_dir: str) -> tuple[str, float]:
+    def synthesize_to_mp3(self, text: str, output_dir: str, suffix: str = "") -> tuple[str, float]:
         """
         Synthesize text to MP3.
         Splits text into sentences, synthesizes each, concatenates, encodes to MP3.
@@ -88,16 +88,16 @@ class PiperTTS:
         wav_files = []
         try:
             for i, sentence in enumerate(sentences):
-                wav_path = os.path.join(output_dir, f"seg_{i:04d}.wav")
+                wav_path = os.path.join(output_dir, f"seg{suffix}_{i:04d}.wav")
                 self.synthesize_to_wav(sentence, wav_path)
                 wav_files.append(wav_path)
 
             # Concatenate WAV files
-            combined_wav = os.path.join(output_dir, "combined.wav")
+            combined_wav = os.path.join(output_dir, f"combined{suffix}.wav")
             self._concatenate_wavs(wav_files, combined_wav)
 
             # Convert to MP3
-            mp3_path = os.path.join(output_dir, "output.mp3")
+            mp3_path = os.path.join(output_dir, f"output{suffix}.mp3")
             self._wav_to_mp3(combined_wav, mp3_path)
 
             # Get duration