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-# Architecture Overview
+
+
+🧱 Architecture Overview
+This page provides a high-level technical map of the LCS Pipeline — from input detection to final video upload. It outlines how the system is structured, modularized, and designed for hands-free content generation.
+
+🎯 Primary Goal
+To automate livestream clip creation, formatting, titling, thumbnail generation, and publishing across multiple platforms with minimal user input.
+
+🗂️ Core Workflow (Pipeline Phases)
+
+-
+
Session Discovery
+Scans for new YYYY.MM.DD folders on startup. Multiple sessions per day supported (.2, .3, etc.).
+
+-
+
Clip Classification
+Reads each subfolder (hits/, misses/, montages/, etc.) and classifies by:
+
+
+-
+
Metadata Injection
+Loads notes.json (if present) or prompts user for:
+
+
+-
+
Title + Description Generation
+Uses OpenAI to create:
+
+
+-
+
Intro/Outro Assembly
+
+
+-
+
Thumbnail Generation
+Creates stylized Fortnite-style thumbnails under 2MB
+
+-
+
Upload
+
+
+-
+
Archive & Cleanup
+
+
+
+
+📁 Key Components
-This page provides an overview of the internal structure of the LCS Pipeline.
+Module | Role
+-- | --
+main.py | Pipeline launcher and orchestrator
+render_engine.py | Handles stitching + export
+title_utils.py | Generates title screens
+yt_poster.py | YouTube upload logic
+pt_poster.py | PeerTube upload logic (optional)
+thumbnail_utils.py | Builds and validates thumbnails
+metadata_utils.py | Normalizes and stores clip metadata
-## Modules
-- `main.py`: Central orchestration logic
-- `modules/`: Reusable utilities for title cards, thumbnails, uploads
-- `assets/`: Contains branding videos and fonts
-## Flow
-1. Detect new video sessions
-2. Generate metadata, titles, overlays
-3. Render videos with intro/title/outro
-4. Upload to YouTube and optionally PeerTube
-5. Auto-publish wiki and social metadata
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+
+📦 Folder Independence
+Each session folder is processed atomically — no cross-folder dependencies.
+
+
+🔧 Exception Paths
+
+
+See also: Clip Handling Logic, File Naming, Metadata Extraction
+
+## 🧱 Architecture Overview
+
+This page provides a high-level technical map of the LCS Pipeline — from input detection to final video upload. It outlines how the system is structured, modularized, and designed for hands-free content generation.
+
+---
+
+### 🎯 Primary Goal
+
+To automate livestream clip creation, formatting, titling, thumbnail generation, and publishing across multiple platforms with minimal user input.
+
+---
+
+### 🗂️ Core Workflow (Pipeline Phases)
+
+1. **Session Discovery**
+ Scans for new `YYYY.MM.DD` folders on startup. Multiple sessions per day supported (`.2`, `.3`, etc.).
+
+2. **Clip Classification**
+ Reads each subfolder (`hits/`, `misses/`, `montages/`, etc.) and classifies by:
+
+ * Folder name
+ * Filename suffix (`-vert` for vertical)
+
+3. **Metadata Injection**
+ Loads `notes.json` (if present) or prompts user for:
+
+ * `highlight` (required)
+ * `tags`, `gag_name` (optional)
+
+4. **Title + Description Generation**
+ Uses OpenAI to create:
+
+ * Dynamic video titles (based on folder + metadata)
+ * Social-ready video descriptions
+
+5. **Intro/Outro Assembly**
+
+ * Concatenates intro + title card + clip + outro
+ * Uses branding assets in `assets/`
+
+6. **Thumbnail Generation**
+ Creates stylized Fortnite-style thumbnails under 2MB
+
+7. **Upload**
+
+ * Vertical → YouTube Shorts
+ * Widescreen → YouTube Clips (and PeerTube, if enabled)
+
+8. **Archive & Cleanup**
+
+ * Metadata written to `metadata/history//.json`
+ * Original clip folder optionally deleted (unless `DEBUG=True`)
+
+---
+
+### 📁 Key Components
+
+| Module | Role |
+| -------------------- | ----------------------------------- |
+| `main.py` | Pipeline launcher and orchestrator |
+| `render_engine.py` | Handles stitching + export |
+| `title_utils.py` | Generates title screens |
+| `yt_poster.py` | YouTube upload logic |
+| `pt_poster.py` | PeerTube upload logic (optional) |
+| `thumbnail_utils.py` | Builds and validates thumbnails |
+| `metadata_utils.py` | Normalizes and stores clip metadata |
+
+---
+
+### 📦 Folder Independence
+
+Each session folder is processed atomically — no cross-folder dependencies.
+
+* Safe to rerun on failed or partially processed sessions
+* Idempotent if `rendered/` and history already exist
+
+---
+
+### 🔧 Exception Paths
+
+* `timelapses/` are handled via custom renderer (future logic)
+* `outtakes/` require manual metadata and never auto-upload
+
+---
+
+See also: [`[Clip Handling Logic](https://chatgpt.com/c/Clip-Handling-Logic)`](./Clip-Handling-Logic), [`[File Naming](https://chatgpt.com/c/File-Naming-&-Directory-Conventions)`](./File-Naming-&-Directory-Conventions), [`[Metadata Extraction](https://chatgpt.com/c/Metadata-Extraction)`](./Metadata-Extraction)
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