61 lines
2.5 KiB
Markdown
61 lines
2.5 KiB
Markdown
# Cron Job: music-video-overnight
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**Job ID:** 8a269d122edc
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**Run Time:** 2026-04-02 02:02:31
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**Schedule:** 0 2 * * *
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## Prompt
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[SYSTEM: If you have a meaningful status report or findings, send them — that is the whole point of this job. Only respond with exactly "[SILENT]" (nothing else) when there is genuinely nothing new to report. [SILENT] suppresses delivery to the user. Never combine [SILENT] with content — either report your findings normally, or say [SILENT] and nothing more.]
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Run music video pipeline overnight. Execute /root/music-video-pipeline/cron.sh which generates videos, scores them, and delivers to Alexander. Log to /tmp/music_pipeline.log.
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## Response
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## Music Video Pipeline - Status Report
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**Pipeline executed: April 2, 2026 02:01 UTC**
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**Log location:** `/tmp/music_pipeline.log`
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### Summary
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The pipeline ran but **failed during delivery** because the generation modules are stubs that don't actually produce video files.
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### What Happened
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| Stage | Status | Details |
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|-------|--------|---------|
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| Batch generation | ⚠️ **Mock only** | 5 video slots "generated" (epic orchestral, lo-fi, EDM, ambient, rock) |
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| Music generation | ⚠️ **Placeholder** | `music_gen.py` prints "Would generate" but creates no audio files |
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| Visual generation | ⚠️ **Placeholder** | `visual_gen.py` prints "Would generate 60 frames" but creates no frames |
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| Scoring | ⚠️ **Hardcoded** | Returns fake scores (74.25/100) without analyzing actual content |
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| **Delivery** | ❌ **FAILED** | `FileNotFoundError` - tried to send non-existent video files |
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### Root Cause
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The pipeline is a **prototype skeleton** - the generation modules contain only placeholder implementations:
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```python
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# music_gen.py line 20
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print(f"[MusicGen] Would generate: {prompt} ({style})")
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return str(output_path) # Path never created
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```
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```python
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# visual_gen.py line 15
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print(f"[VisualGen] Would generate {num_frames} frames: {prompt}")
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return [] # No frames generated
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```
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### To Make This Functional
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The pipeline needs:
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1. **Actual music generation** - Suno API integration or local MusicGen/Riffusion
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2. **Actual visual generation** - Stable Diffusion video (AnimateDiff, SVD) or Luma Dream Machine API
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3. **Video assembly** - FFmpeg to mux audio + frames into MP4
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4. **Real scoring** - librosa for audio analysis, opencv for visual quality
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### Recommendation
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This pipeline needs implementation work before it can run overnight autonomously. Currently it's a well-structured framework waiting for the core generation engines to be plugged in.
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