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a4202afe30 | ||
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ae208bd39b | ||
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a38964a1b4 |
No files matched your search
@@ -0,0 +1,7 @@
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# Root TeslaCam directory containing RecentClips/SavedClips/SentryClips
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TESLACAM_DIRECTORY=/mnt/TeslaCam
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# Local dev server only (ignored when run under a WSGI server like gunicorn)
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FLASK_RUN_HOST=0.0.0.0
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FLASK_RUN_PORT=5000
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FLASK_DEBUG=0
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+2
-1
@@ -7,4 +7,5 @@ __pycache__/
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.mypy_cache/
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.ruff_cache/
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.github/AGENTS.md
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.github/instructions/
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.github/instructions/
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.env
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@@ -1 +1,125 @@
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# TeslaCam View
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A Flask web app for browsing and playing TeslaCam (Tesla Dashcam/Sentry) recordings from a local drive. It scans a TeslaCam folder for video files, categorizes them by camera view, and presents them in a dark, Tesla-styled web interface with synchronized multi-angle playback.
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## Features
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- **Recursive scan** of the TeslaCam directory tree (`RecentClips`, `SavedClips`, `SentryClips`, etc.) for `.mp4` files matching the TeslaCam naming convention `YYYY-MM-DD_HH-MM-SS-${camera_view}.mp4`.
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- **Categorization by camera view** — front, left repeater, right repeater, rear, left pillar, right pillar — with friendly display names.
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- **Multi-angle synchronized playback** — clips sharing the same timestamp are grouped so you can switch between camera angles for the same moment.
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- **Search & sort** — filter clips by filename, sort oldest-first or A–Z.
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- **Safe streaming** — videos are served via Flask with path resolution relative to the configured TeslaCam root.
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- **Dark Tesla-themed UI** built with responsive HTML/CSS (no build step).
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## Project Structure
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```txt
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tesla-cam-view-1/
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├── videoplayer.py # Flask app: scanning, routing, video streaming
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├── requirements.txt # Python dependencies (Flask)
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├── templates/
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│ ├── index.html # Main page: camera tabs, player, clip list
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│ └── camera_view.html # Single-camera view page
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└── README.md
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```
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## Requirements
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- Python 3.x
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- Flask, python-dotenv, gunicorn (see `requirements.txt`)
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## Setup
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1. Create and activate a virtual environment (optional but recommended):
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```bash
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python -m venv venv
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# Windows
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venv\Scripts\activate
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# macOS/Linux
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source venv/bin/activate
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```
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2. Install dependencies:
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```bash
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pip install -r requirements.txt
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```
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3. Configure the TeslaCam directory via environment variables. Copy the example
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file and edit it:
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```bash
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cp .env.example .env
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```
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```ini
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TESLACAM_DIRECTORY=/mnt/TeslaCam
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FLASK_RUN_HOST=0.0.0.0
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FLASK_RUN_PORT=5000
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FLASK_DEBUG=0
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```
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`TESLACAM_DIRECTORY` should point to the root folder containing your
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`RecentClips`, `SavedClips`, and `SentryClips` subfolders. Variables set in
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the real environment take precedence over `.env`.
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## Usage
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### Local development server
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```bash
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python videoplayer.py
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```
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Then open [http://localhost:5000](http://localhost:5000) in your browser.
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### Production (WSGI server on Linux)
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For production, run the app behind a WSGI server such as **gunicorn**. The
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`app` object in `videoplayer.py` is the WSGI entry point:
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```bash
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gunicorn -w 4 -b 0.0.0.0:5000 'videoplayer:app'
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```
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`TESLACAM_DIRECTORY` is read from the environment (or `.env`), so make sure it
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is set for the gunicorn process, e.g.:
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```bash
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export TESLACAM_DIRECTORY=/mnt/TeslaCam
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gunicorn -w 4 -b 0.0.0.0:5000 'videoplayer:app'
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```
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For a systemd service or other process manager, set the variable in the unit
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file / environment rather than relying on `.env`.
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- The **main page** lists all clips grouped by camera view with a player and searchable clip list.
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- Click a clip to play it; use the camera switch buttons to jump between angles for the same timestamp.
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- The `/camera/<view>` route shows all clips for a single camera.
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## Routes
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| Route | Description |
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| ------------------------ | ---------------------------------------------------- |
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| `/` | Main page with all videos categorized by camera view |
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| `/camera/<camera_view>` | All videos for a single camera view |
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| `/video/<path:filepath>` | Streams a video file from the TeslaCam directory |
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## Camera Views
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| Key | Display Name |
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| ---------------- | -------------- |
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| `front` | Front |
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| `left_repeater` | Left Repeater |
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| `right_repeater` | Right Repeater |
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| `rear` | Rear |
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| `left_pillar` | Left Pillar |
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| `right_pillar` | Right Pillar |
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## Notes
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- Debug mode is off by default (`FLASK_DEBUG=0`) and is only used by the local
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dev server. It has no effect when running under a WSGI server like gunicorn.
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- The TeslaCam directory must be accessible from the machine running the app (e.g., a mounted USB drive or network share).
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- Filename parsing assumes the standard TeslaCam naming format; files not matching the regex are ignored.
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+3
-1
@@ -1 +1,3 @@
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flask
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flask
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python-dotenv
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gunicorn
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@@ -505,9 +505,9 @@
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>Right Repeater</a
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>
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<a
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href="/camera/rear"
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class="{% if camera_view_key == 'rear' %}active{% endif %}"
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>Rear</a
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href="/camera/back"
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class="{% if camera_view_key == 'back' %}active{% endif %}"
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>Back</a
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>
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<a
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href="/camera/left_pillar"
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@@ -555,7 +555,6 @@
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<div class="list-toolbar">
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<span id="resultCount">0 clips</span>
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<select id="sortSelect" aria-label="Sort options">
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<option value="newest">Newest first</option>
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<option value="oldest">Oldest first</option>
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<option value="name">Filename A–Z</option>
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</select>
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@@ -601,7 +600,7 @@
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const resultCount = document.getElementById("resultCount");
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let query = "";
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let sortMode = "newest";
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let sortMode = "oldest";
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let currentVideo = null;
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function parseTimestamp(ts) {
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+15
-3
@@ -11,12 +11,18 @@ play videos from different camera views.
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import os
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import re
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from dotenv import load_dotenv
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from flask import Flask, render_template, send_from_directory, abort
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# Load variables from a .env file if present (does not override real env vars)
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load_dotenv()
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app = Flask(__name__)
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# Root TeslaCam directory containing RecentClips, SavedClips, SentryClips, etc.
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TESLACAM_DIRECTORY = '/mnt/TeslaCam'
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# Override via the TESLACAM_DIRECTORY environment variable (see .env.example).
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TESLACAM_DIRECTORY = os.environ.get('TESLACAM_DIRECTORY', '/mnt/TeslaCam')
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# Regular expression matching TeslaCam filenames: YYYY-MM-DD_HH-MM-SS-${camera_view}.mp4
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VIDEO_FILENAME_REGEX = re.compile(
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@@ -132,5 +138,11 @@ def serve_video(filepath):
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if __name__ == '__main__':
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host = '0.0.0.0'
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app.run(debug=True, host=host, port=5000)
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# Local dev server. For production, run behind a WSGI server instead, e.g.:
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# gunicorn -w 4 -b 0.0.0.0:5000 'videoplayer:app'
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# or
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# waitress-serve --host=0.0.0.0 --port=5000 videoplayer:app
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host = os.environ.get('FLASK_RUN_HOST', '0.0.0.0')
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port = int(os.environ.get('FLASK_RUN_PORT', '5000'))
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debug = os.environ.get('FLASK_DEBUG', '0').lower() in ('1', 'true', 'yes')
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app.run(debug=debug, host=host, port=port)
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