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# Directory Layout
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This page describes the structure of the Llama Chile Shop video automation project as implemented on the NAS mount (`Z:\`). This layout ensures a predictable, scalable structure for stream session content and pipeline assets.
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## Root Structure (`Z:\`)
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```
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Z:\
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├── YYYY.MM.DD/ # Session folder (e.g., 2025.06.20)
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│ ├── hits/ # Raw clips of eliminations
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│ ├── misses/ # Raw clips of deaths
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│ ├── montages/ # Precompiled montage reels
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│ ├── outtakes/ # Manually tagged moments for postprocessing
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│ └── rendered/ # Final output videos (1:1 clip-to-video mapping)
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├── assets/ # Branding assets
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│ ├── intro-wide.mp4
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│ ├── intro-vertical.mp4
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│ ├── outro-wide.mp4
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│ ├── outro-vertical.mp4
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│ ├── BurbankBigCondensed-Black.otf # Fortnite font
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│ └── LlamaLlama.png
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├── modules/ # Helper modules (Python)
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├── logs/ # Diagnostic/debug output
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├── .env # API credentials (loaded via dotenv)
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├── main.py # Main pipeline for daily clip automation
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├── upload_youtube_montage.py # Standalone test harness for YouTube flow
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├── README.md
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```
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## Naming Conventions
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* Session folders follow: `YYYY.MM.DD` or `YYYY.MM.DD.N`
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* Rendered videos retain input name, with `-vert` or `-vertical` denoting vertical orientation
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* All `notes.*` files in subfolders are used to seed OpenAI-based descriptions (except for `montages/`, which has none)
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## Example
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Given a stream session folder `Z:\2025.07.04`:
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```
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Z:\2025.07.04
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├── montages\
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│ └── Fortnite-montage-20250704.mp4
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├── hits\
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│ └── 001_hit.mp4
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│ └── 001_hit_notes.txt
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├── rendered\
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│ └── Fortnite-montage-20250704.mp4
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```
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This structure allows the pipeline to:
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1. Detect input type
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2. Generate and overlay titles
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3. Call OpenAI if a `notes.*` file is present
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4. Upload to YouTube/PeerTube as applicable
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5. Optionally toot/post to social media
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---
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Next: [[Module Index](https://chatgpt.com/c/687fcbf3-b2b4-8010-911e-601ae3b70980#)](#)
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