Doover Administration

This skill covers administration topics for the Doover platform, including organization setup, device types, and deployment configuration.

Organizations

Organizations are the top-level entity in Doover, containing users, devices, and applications.

Organization Structure

Organization
├── Users (members with roles)
├── Device Types (templates for devices)
├── Devices (physical/virtual devices)
├── Applications (apps deployed to devices)
└── API Keys (for programmatic access)

User Roles

Device Types

Device types define templates for devices with pre-configured applications.

Creating a Device Type

Device types specify:

• Base hardware configuration
• Default applications to install
• Configuration templates
• Supported capabilities

doover_config.json Fields

Key fields for device type integration:

{
  "my_app": {
    "key": "uuid-goes-here",
    "name": "my_app",
    "display_name": "My Application",
    "type": "DEV",
    "visibility": "PUB",
    "allow_many": true,
    "description": "Short description",
    "long_description": "README.md",
    "depends_on": ["platform_interface"],
    "owner_org_key": "org-uuid",
    "image_name": "ghcr.io/getdoover/my_app",
    "container_registry_profile_key": "",
    "build_args": "--platform linux/amd64,linux/arm64"
  }
}

Field Descriptions

Application Dependencies

Applications can depend on system services:

Common Dependencies

{
  "depends_on": [
    "platform_interface",
    "device_agent",
    "modbus_interface"
  ]
}

Platform Interface

Provides access to device hardware:

class MyApplication(Application):
    async def main_loop(self):
        # Digital input
        values = await self.platform_iface.get_di_async([1, 2, 3])

        # Digital output
        await self.platform_iface.set_do_async(pin=4, value=True)

        # Analog input (if supported)
        analog = await self.platform_iface.get_ai_async([1])

Device Agent

Provides data management services:

class MyApplication(Application):
    async def main_loop(self):
        # Publish to channel
        await self.device_agent.publish_to_channel_async(
            "sensor_data",
            json.dumps({"temperature": 25.5})
        )

Modbus Interface

For Modbus communication:

class MyApplication(Application):
    async def main_loop(self):
        # Read holding registers
        registers = await self.modbus_iface.read_registers_async(
            start_address=100,
            count=10,
            register_type=3  # Holding registers
        )

        # Write register
        await self.modbus_iface.write_register_async(
            address=200,
            value=1
        )

Deployment Configuration

Container Registry Setup

Configure container registry access in doover_config.json:

{
  "my_app": {
    "image_name": "ghcr.io/getdoover/my_app",
    "container_registry_profile_key": "registry-profile-uuid"
  }
}

Supported registries:

• GitHub Container Registry (ghcr.io)
• Docker Hub
• Private registries

Build Configuration

Multi-platform builds for ARM and x86 devices:

{
  "my_app": {
    "build_args": "--platform linux/amd64,linux/arm64"
  }
}

Common build arguments:

• --platform linux/amd64 – Intel/AMD 64-bit
• --platform linux/arm64 – ARM 64-bit (Raspberry Pi 4, etc.)
• --platform linux/arm/v7 – ARM 32-bit (older Pi models)

Publishing Workflow

# 1. Ensure you're authenticated
doover auth login

# 2. Build for target platforms
doover app build

# 3. Publish to platform
doover app publish

# For staging/testing
doover app publish --staging

# Production with specific profile
doover app publish --profile production

Environment Variables

Applications receive configuration via environment variables:

Standard Variables

Using in Application

import os

class MyApplication(Application):
    async def setup(self):
        app_key = os.environ.get("APP_KEY")
        config_path = os.environ.get("CONFIG_FP")

        log.info(f"Starting app {app_key}")
        log.info(f"Config from {config_path}")

Docker Compose Environment

For local development:

services:
  my_app:
    build: ../
    network_mode: host
    environment:
      - APP_KEY=test_app_key
      - CONFIG_FP=/app/simulators/app_config.json

Visibility and Access Control

Application Visibility

Setting Visibility

In doover_config.json:

{
  "my_app": {
    "visibility": "PRI",
    "owner_org_key": "your-org-uuid"
  }
}

Sharing Private Apps

Private apps can be shared with specific organizations through the Doover platform.

Monitoring and Health

Health Checks

Applications include health check endpoints:

HEALTHCHECK --interval=30s --timeout=2s --start-period=5s \
    CMD curl -f "127.0.0.1:$HEALTHCHECK_PORT" || exit 1

Application Status

Monitor application status via tags:

class MyApplication(Application):
    async def main_loop(self):
        # Report health status
        await self.set_tag("health", {
            "status": "healthy",
            "uptime_seconds": self.uptime,
            "last_error": None,
            "version": "1.0.0"
        })

Error Reporting

class MyApplication(Application):
    async def main_loop(self):
        try:
            await self.do_work()
            await self.set_tag("status", "running")
            await self.set_tag("last_error", None)
        except Exception as e:
            log.error(f"Work failed: {e}")
            await self.set_tag("status", "error")
            await self.set_tag("last_error", str(e))
            await self.set_tag("last_error_time", datetime.now().isoformat())

Configuration Profiles

CLI Profiles

Use profiles for different environments:

# Default profile
doover app publish

# Staging profile
doover app publish --profile staging

# Production profile
doover app publish --profile production

Profile Setup

Configure profiles in Doover CLI:

# Add a profile
doover config add-profile staging --api-url https://staging.doover.com

# List profiles
doover config list-profiles

# Switch default profile
doover config set-profile production

Versioning

Semantic Versioning

Use semantic versioning for apps:

{
  "metadata": {
    "version": "1.2.3"
  }
}

• MAJOR: Breaking changes
• MINOR: New features, backwards compatible
• PATCH: Bug fixes

Version in Code

__version__ = "1.2.3"

class MyApplication(Application):
    async def setup(self):
        await self.set_tag("app_version", __version__)

Debugging Production

Remote Logs

Access logs from deployed devices:

# Via Docker on device
ssh device "docker logs my_app --tail 100"

# Follow logs
ssh device "docker logs my_app -f"

Debug Mode

Enable debug mode via configuration:

class MyApplication(Application):
    async def main_loop(self):
        if self.config.debug_mode.value:
            await self.debug_log("main_loop", {
                "temperature": self.temp,
                "state": self.state.state
            })

    async def debug_log(self, context: str, data: dict):
        await self.device_agent.publish_to_channel_async(
            "debug",
            json.dumps({
                "timestamp": datetime.now().isoformat(),
                "context": context,
                "data": data
            })
        )

Channel Debugging

Use the channel viewer for real-time debugging:

doover app channels --host device-ip

Common Administrative Tasks

Updating an Application

1. Make code changes
2. Update version in pyproject.toml
3. Test locally: doover app run
4. Run tests: doover app test
5. Publish: doover app publish

Rolling Back

Keep previous versions available:

• Don’t overwrite tags in registry
• Use version-specific image tags
• Document breaking changes

Scaling

For high-traffic applications:

• Use time-based throttling for channel publishing
• Batch updates when possible
• Monitor memory usage

Security

• Never commit secrets to code
• Use configuration for API keys
• Validate all external input
• Log security events