deploy: 1a81cb7

.buildinfo

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+# Sphinx build info version 1
+# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
+config: 28d7a36e2aa4f326f827660def3e5019
+tags: d77d1c0d9ca2f4c8421862c7c5a0d620

CNAME

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+valetnet.dev

_sources/config-os.md.txt

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+# How to Configure Raspberry Pi OS for Valet
+
+## Connect to Valet
+Use username and password from [Raspberry Pi Imager settings](install-os.md#a-general-settings)
+```bash
+ssh tapster@valet-vision.local
+```
+
+## Once connected, move to the Documents directory
+```bash
+cd ~/Documents
+```
+
+## Download the machine set-up script
+```bash
+curl -sL https://raw.githubusercontent.com/tapsterbot/valet/main/source/machine-setup.py -o machine-setup.py
+```
+## Run the set-up script:
+**For Valet Link**:
+```bash
+python machine-setup.py --link
+```
+**For Valet Vision**:
+```bash
+python machine-setup.py --vision
+```
+***Note***: By default, Valet is set up as a Wi-Fi hotspot on first boot, to make it easier to connect to your main Wi-Fi network. If you want to disable this feature, include an additional flag:
+```bash
+python machine-setup.py --link --nohotspot
+or
+python machine-setup.py --vision --nohotspot
+```
+
+
+## What does the script do?
+- Run raspi-config:
+  - Enable VNC for remote desktop access
+  - *(Valet Vision)*: Enable SPI to control the TFT display
+  - *(Valet Vision)*: Enable I2C to control the TFT display
+- Create Python virtual environment
+- Install required Python libraries
+- Install libcamera libraries
+- Install OpenCV for computer vision
+- Install Tesseract OCR and Pytesseract for text recognition
+- Install [zero-hid](https://github.com/tapsterbot/zero-hid/tree/touch-support) library for mouse & keyboard control
+- Install [Checkbox server](https://github.com/tapsterbot/checkbox-server)
+- Install [Checkbox client](https://github.com/tapsterbot/checkbox-client-python)
+- *(Optional)*: Install [Comitup](https://github.com/davesteele/comitup) for easy Wi-Fi onboarding
+
+### Valet Vision Only
+- Install [Blinka](https://github.com/adafruit/Adafruit_Blinka) library (for controlling TFT display)
+- Install [Checkbox display server](https://github.com/tapsterbot/checkbox-display-server)
+- Install TFT display test script
+
+### Valet Link Only
+- Set required video capture settings

_sources/getting-started.md.txt

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+# Getting Started with Valet
+- [Install OS](install-os.md)
+- [Configure OS](config-os.md)

_sources/index.rst.txt

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+:layout: landing
+:description: Valet by Tapster is a plug-and-play automation tool designed for mobile devices.
+
+Valet
+=======
+
+.. rst-class:: lead
+
+    A plug-and-play automation tool designed for mobile devices
+
+.. container:: buttons
+
+    `Docs <getting-started>`_
+    `GitHub <https://github.com/tapsterbot/valet>`_
+
+.. grid:: 1 1 2 3
+    :gutter: 2
+    :padding: 0
+    :class-row: surface
+
+    .. grid-item-card:: :octicon:`pencil` Authentic inputs
+
+        USB OTG HID interface for tapping, clicking, and typing inputs.
+
+    .. grid-item-card:: :octicon:`eye` Vision testing
+
+        OpenCV preinstalled. Compatible with other image detection AI or machine learning libraries.
+
+    .. grid-item-card:: :octicon:`arrow-switch` Toggle connections
+
+        Users can switch on / off Bluetooth, WiFI, Mobile Data.
+
+    .. grid-item-card:: :octicon:`copilot` Drive any smartphone
+
+        iOS and Android phones supported.
+
+    .. grid-item-card:: :octicon:`sync` Switch apps
+
+        Switch between apps and native features easily.
+
+    .. grid-item-card:: :octicon:`people` Raspberry Pi-powered
+
+        Benefit from the versatile Pi platform and its robust community.
+
+
+.. toctree::
+    :caption: Getting started
+
+    getting-started.md
+    install-os.md
+    config-os.md
+
+.. toctree::
+    :caption: Explanation
+
+    overview.md

_sources/install-os.md.txt

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+# How to Install Raspberry Pi OS on an SD Card
+
+## Materials Needed:
+- Raspberry Pi 4 (minimum 4GB RAM, 8GB recommended)
+- MicroSD Card ([Samsung PRO Endurance](https://www.samsung.com/us/computing/memory-storage/memory-cards/pro-endurance-adapter-microsdxc-64gb-mb-mj64ka-am/), 64GB recommended)
+- MicroSD Card reader
+
+## Instructions:
+
+### 1. Download Raspberry Pi Imager
+- Visit the [Raspberry Pi Imager download page](https://www.raspberrypi.com/software/).
+- Download and install the software for your operating system (Windows, macOS, or Linux).
+
+### 2. Prepare the SD Card
+- Insert your MicroSD card into the card reader and connect it to your computer.
+
+### 3. Launch Raspberry Pi Imager
+- Open the Raspberry Pi Imager application.
+  ![Raspberry Pi Imager](./images/raspberry-pi-os-imager-macos-1.8.5.png)
+
+<hr>
+
+### 4. Select the Device
+- Click on **CHOOSE DEVICE**.
+  ![Choose Device](./images/choose-device.png)
+- Select **Raspberry Pi 4**.
+  ![Select Raspberry Pi 4](./images/select-raspberry-pi-4.png)
+
+<hr>
+
+### 5. Select the OS
+- Click on **CHOOSE OS**.
+  ![Choose OS](./images/choose-os.png)
+- Select **Raspberry Pi OS (64-bit)**.
+  ![Select Raspberry Pi OS 64-bit](./images/select-raspberry-pi-os-64-bit.png)
+
+<hr>
+
+### 6. Select the Storage
+- Click on **CHOOSE STORAGE**.
+  ![Choose STORAGE](./images/choose-storage.png)
+- Select your MicroSD card from the list.
+  ![Select MicroSD card](./images/select-storage-device.png)
+
+<hr>
+
+### 7. Edit Settings
+- Click on **NEXT**.
+  ![Choose NEXT](./images/choose-next.png)
+- Click on **EDIT SETTINGS**.
+  ![Choose EDIT SETTINGS](./images/choose-edit-settings.png)
+
+
+### 7a. General Settings
+- Select the **GENERAL** tab and make the following changes:
+  - Set hostname to **valet-vision**, **valet-link**, (or some other preferred name).
+    :::{note}
+    If you will have more than one Valet on your network, we recommened adding a number after the hostname (e.g. "valet-vision-34").
+    :::
+  - Set the username to **tapster**.
+  - Enter a password and store it somewhere safe, like a password manager.
+  - If you'll be using a *wireless* network connection with your Valet, enter SSID and Wi-Fi password. However, if you'll be using a *wired* network connection, then leave "Configure wireless LAN" unselected and the SSID and password fields blank.
+    :::{note}
+    In the default installation, we do not set Wi-Fi credentials here with Raspberry Pi Imager; instead, we use _[Comitup](https://davesteele.github.io/comitup/)_ to bootstrap Wi-Fi support. However, the use of Comitup is configurable, and can be disabled when the system set-up scripts are run in a later step. If you really would rather set up Wi-Fi here, though, go for it!
+    :::
+  - *(Optional)* Set locale settings for your preferred time zone and keyboard layout.
+![Choose GENERAL tab](./images/general-settings-changed.png)
+
+<hr>
+
+### 7b. Services Settings
+- Select the **SERVICES** tab.
+- Enable SSH and select "Use password authentication".
+  :::{note}
+  You can also enable key-based authentication later after logging into Valet.
+  :::
+![Choose SERVICES tab](./images/services-settings-changed.png)
+
+### 7c. Options Settings
+- Select the **OPTIONS** tab.
+- If desired, deselect "Enable telemetry".
+  :::{note}
+  Information about the telemetry collected by Raspberry Pi Imager can be found the projects's [README](https://github.com/raspberrypi/rpi-imager/blob/qml/README.md#telemetry).
+
+  Raspberry Pi Imager's collected stats are available at [https://rpi-imager-stats.raspberrypi.com/](https://rpi-imager-stats.raspberrypi.com/).
+  :::
+![Choose OPTIONS tab](./images/options-settings-changed.png)
+
+
+### 7d. Save Settings
+- When you're done making changes to the settings, click on **SAVE**.
+
+### 7e. Apply Settings
+- When asked "Would you like to apply OS customization setttings?", click **YES**.
+  ![Apply Settings?](./images/apply-settings-question.png)
+
+### 8. Write the OS to the SD Card
+- When asked "Are you sure you want to continue", click **YES** to continue.
+  ![Continue?](./images/continue-warning.png)
+- If you're shown an admin prompt, grant the Imager permission to continue.
+  ![Admin Permission](./images/admin-permission.png)
+- Wait for the writing process to complete; this may take a few minutes.
+  ![Write the Image](./images/writing-the-image.png)
+
+### 9. Safely Eject the SD Card
+- After the writing process is complete, click **CONTNIUE** and safely eject the SD card from your computer.
+  ![Write Successful](./images/write-successful.png)
+
+
+### 10. Boot Up Your Valet
+- Insert the MicroSD card into the Valet's Raspberry Pi.
+- (Optional) If no wireless connection was configured, connect a wired network cable to the Valet.
+- Connect the Valet to a power supply.
+
+### 🎉 Well done!
+Well, almost! Your Valet's Raspberry Pi is now running Raspberry Pi OS, but next we need to install Valet specific software.

_sources/overview.md.txt

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+<style>
+  div.mermaid {
+    background: #ffffff;
+    width: 100%;
+    height: 100%;
+  }
+</style>
+# Architecture Overview
+
+Here's a sequence diagram showing the important parts and how they talk to each other:
+
+```{mermaid}
+sequenceDiagram
+  %%box rgb(245, 245, 245)
+  participant C as Client Automation Script
+  %%end
+  box rgb(245, 245, 245) Tapster Valet
+  participant DS as Display Server
+  participant TFT as TFT Display
+  participant S as Checkbox Server
+  participant CM as Camera / Video Capture
+  end
+  participant 📱 as Smartphone
+
+  C->>DS: Show text "Running a Demo"
+  DS->>TFT: Show text "Running a Demo"
+  DS-->>C: OK!
+  C->>S: Take snapshot
+  S->>CM: Take snapshot
+  CM-->>S: Image bytes (binary)
+  S-->>C: Image bytes (.png)
+  C->>C: Look for text (Tesseract)
+  C->>C: Look for a button (OpenCV)
+  C->>S: Move pointer to (x=100, y=100)
+  S->>📱: Move pointer to (x=100, y=100)
+  S-->>C: OK!
+  C->>S: Send keys "Hello, World!"
+  S->>📱: Send keys "Hello, World!"
+  S-->>C: OK!
+  C->>DS: Show text "Done ✅"
+  DS->>TFT: Show text "Done ✅"
+  DS-->>C: OK!
+```
+
+<script>
+  var drawing = document.getElementsByClassName('mermaid')[0]
+
+  function toggleFullscreen() {
+    if (!document.fullscreenElement) {
+      drawing.requestFullscreen()
+    } else {
+      if (document.exitFullscreen) {
+        document.exitFullscreen()
+      }
+    }
+  }
+
+  drawing.addEventListener('click', toggleFullscreen)
+</script>