Skip to main content

Async HTTP client for Atlas Command.

Project description

Atlas Command HTTP Client (Python)

atlas-asset-client is a lightweight async wrapper around the Atlas Command REST API. It provides strongly-typed convenience methods for working with entities, tasks, objects, and query endpoints via HTTP.

Installation

pip install atlas-asset-client

During local development inside this repository:

pip install -e Atlas_Command/connection_packages/atlas_asset_http_client_python

Quickstart

Using Typed Components (Recommended)

The client now supports typed component parameters that provide IDE autocomplete, type checking, and validation before transmission:

import asyncio
from atlas_asset_http_client_python import (
    AtlasCommandHttpClient,
    EntityComponents,
    TelemetryComponent,
    HealthComponent,
    CommunicationsComponent,
    TaskCatalogComponent,
)

async def main() -> None:
    async with AtlasCommandHttpClient("http://localhost:8000") as client:
        # Create entity with typed components
        components = EntityComponents(
            telemetry=TelemetryComponent(
                latitude=40.7128,
                longitude=-74.0060,
                altitude_m=120,
                speed_m_s=8.2,
                heading_deg=165,
            ),
            health=HealthComponent(battery_percent=85),
            communications=CommunicationsComponent(link_state="connected"),
            task_catalog=TaskCatalogComponent(
                supported_tasks=["move_to_location", "survey_grid"]
            ),
        )

        entity = await client.create_entity(
            entity_id="drone-01",
            entity_type="asset",
            alias="Demo Drone",
            subtype="drone",
            components=components,
        )
        print("Created entity:", entity["entity_id"])

asyncio.run(main())

Using Raw Dictionaries (Legacy)

Raw dictionary components are still supported for backwards compatibility, but emit a deprecation warning:

import asyncio
from atlas_asset_http_client_python import AtlasCommandHttpClient

async def main() -> None:
    async with AtlasCommandHttpClient("http://localhost:8000") as client:
        entity = await client.create_entity(
            entity_id="asset-1",
            entity_type="asset",
            alias="Demo Asset",
            subtype="drone",
            components={"telemetry": {"latitude": 40.7, "longitude": -74.0}},  # Deprecated
        )
        print("Created entity:", entity["entity_id"])

asyncio.run(main())

Typed Component Reference

Entity Components

The EntityComponents class accepts the following typed component fields:

Component Type Description
telemetry TelemetryComponent Position and motion data
geometry GeometryComponent GeoJSON geometry for geoentities
task_catalog TaskCatalogComponent Supported task identifiers
media_refs List[MediaRefItem] References to media objects
mil_view MilViewComponent Military tactical classification
health HealthComponent Health and vital statistics
sensor_refs List[SensorRefItem] Sensor configurations
communications CommunicationsComponent Network link status
task_queue TaskQueueComponent Current and queued work items
custom_* Any Custom components (must be prefixed with custom_)

TelemetryComponent

TelemetryComponent(
    latitude=40.7128,      # degrees (WGS84)
    longitude=-74.0060,    # degrees (WGS84)
    altitude_m=120,        # meters above sea level
    speed_m_s=8.2,         # horizontal speed in m/s
    heading_deg=165,       # heading (0=N, 90=E)
)

GeometryComponent

# Point
GeometryComponent(type="Point", coordinates=[-74.0060, 40.7128])

# LineString
GeometryComponent(type="LineString", coordinates=[[-74.0060, 40.7128], [-74.0070, 40.7138]])

# Polygon
GeometryComponent(type="Polygon", coordinates=[[[-74.0060, 40.7128], [-74.0070, 40.7128], [-74.0060, 40.7128]]])

HealthComponent

HealthComponent(battery_percent=85)  # 0-100

CommunicationsComponent

CommunicationsComponent(link_state="connected")  # connected/disconnected/degraded/unknown

MilViewComponent

MilViewComponent(
    classification="friendly",  # friendly/hostile/neutral/unknown/civilian
    last_seen="2025-11-23T10:05:00Z",
)

Task Components

The TaskComponents class accepts:

Component Type Description
parameters TaskParametersComponent Command parameters for task execution
progress TaskProgressComponent Runtime telemetry about execution
from atlas_asset_http_client_python import TaskComponents, TaskParametersComponent, TaskProgressComponent

components = TaskComponents(
    parameters=TaskParametersComponent(
        latitude=40.123,
        longitude=-74.456,
        altitude_m=120,
    ),
    progress=TaskProgressComponent(
        percent=65,
        updated_at="2025-11-25T08:45:00Z",
        status_detail="En route to destination",
    ),
)

task = await client.create_task(
    task_id="task-1",
    entity_id="asset-1",
    components=components,
)

Custom Components

Custom components must be prefixed with custom_:

components = EntityComponents(
    telemetry=TelemetryComponent(latitude=40.7128),
    custom_weather={"wind_speed": 12, "gusts": 18},  # Custom component
)

Entity Types Guide

Atlas Command supports several entity types, each with different purposes and component structures. All entities are created using the create_entity() method, but the entity_type parameter and components structure differ based on what you're representing.

Assets

Purpose: Assets represent taskable autonomous agents that can execute commands and report telemetry. Examples include drones, rovers, security cameras, and other controllable hardware.

When to use: Register any physical or virtual device that can receive tasks from Atlas Command.

Required fields:

  • entity_id: Unique identifier for the asset (string)
  • entity_type: Must be "asset" (string)
  • alias: Human-readable name for the asset (string)
  • subtype: Asset subtype (string, e.g., "drone", "rover", "camera")

Common components:

  • telemetry: Location and movement data (latitude, longitude, altitude_m, speed_m_s, heading_deg)
  • task_catalog: Supported task types the asset can execute
  • health: System status (e.g., battery_percent)
  • communications: Connection state (link_state)
  • sensor_refs: Array of attached sensor configurations
  • media_refs: Array of object references for camera feeds or thumbnails

Example:

async with AtlasCommandHttpClient("http://localhost:8000") as client:
    asset = await client.create_entity(
        entity_id="drone-alpha-01",
        entity_type="asset",
        alias="Drone Alpha 01",
        subtype="drone",
        components={
            "telemetry": {
                "latitude": 40.7128,
                "longitude": -74.0060,
                "altitude_m": 120,
                "speed_m_s": 8.2,
                "heading_deg": 165
            },
            "task_catalog": {
                "supported_tasks": ["move_to_location", "survey_grid"]
            },
            "health": {
                "battery_percent": 76
            },
            "communications": {
                "link_state": "connected"
            }
        }
    )

Tracks

Purpose: Tracks represent observed entities detected by sensors or other assets. They are passive entities that track movement and characteristics of detected objects, but cannot receive tasks.

When to use: Register any detected object or entity that needs to be monitored but not controlled. Examples include vehicles, people, or other objects detected by security cameras or radar systems.

Required fields:

  • entity_id: Unique identifier for the track (string)
  • entity_type: Must be "track" (string)
  • alias: Human-readable name for the track (string)
  • subtype: Track subtype (string, e.g., "vehicle", "person", "unknown")

Common components:

  • telemetry: Current location and movement data
  • mil_view: Classification and tracking information (classification: friendly/hostile/neutral/unknown/civilian, last_seen)
  • sensor_refs: Sensors that detected this track
  • media_refs: Object references for images or videos of the track

Example:

async with AtlasCommandHttpClient("http://localhost:8000") as client:
    track = await client.create_entity(
        entity_id="target-alpha",
        entity_type="track",
        alias="Target Alpha",
        subtype="vehicle",
        components={
            "telemetry": {
                "latitude": 40.7128,
                "longitude": -74.0060,
                "altitude_m": 120,
                "speed_m_s": 8.2,
                "heading_deg": 165
            },
            "mil_view": {
                "classification": "unknown",
                "last_seen": "2025-11-23T10:05:00Z"
            }
        }
    )

Geofeatures

Purpose: Geofeatures represent geographic features or zones on the map. They can be points, lines, polygons, or circles representing waypoints, routes, boundaries, restricted areas, or other geographic annotations.

When to use: Register any geographic annotation that needs to be displayed on the map. Common use cases include waypoints, patrol routes, no-fly zones, survey areas, or boundaries.

Required fields:

  • entity_id: Unique identifier for the geofeature (string)
  • entity_type: Must be "geofeature" (string)
  • alias: Human-readable name for the geofeature (string)
  • subtype: Geofeature subtype (string, e.g., "waypoint", "route", "zone", "boundary")
  • components.geometry: Geometry definition based on type

Geometry types:

Point Geofeature

A single coordinate location. Use for waypoints or point-of-interest markers.

async with AtlasCommandHttpClient("http://localhost:8000") as client:
    point = await client.create_entity(
        entity_id="waypoint-alpha",
        entity_type="geofeature",
        alias="Waypoint Alpha",
        subtype="waypoint",
        components={
            "geometry": {
                "type": "Point",
                "coordinates": [-74.0060, 40.7128]  # [longitude, latitude]
            }
        }
    )

LineString Geofeature

A path or route defined by multiple coordinates. Use for patrol routes, flight paths, or boundaries.

async with AtlasCommandHttpClient("http://localhost:8000") as client:
    linestring = await client.create_entity(
        entity_id="patrol-route-alpha",
        entity_type="geofeature",
        alias="Patrol Route Alpha",
        subtype="route",
        components={
            "geometry": {
                "type": "LineString",
                "coordinates": [
                    [-74.0060, 40.7128],
                    [-74.0070, 40.7130],
                    [-74.0080, 40.7135],
                    [-74.0090, 40.7140]
                ]  # Array of [longitude, latitude] pairs
            }
        }
    )

Polygon Geofeature

A closed area defined by coordinates. The first and last coordinate must be the same to close the polygon. Use for restricted zones, survey areas, or regions of interest.

async with AtlasCommandHttpClient("http://localhost:8000") as client:
    polygon = await client.create_entity(
        entity_id="area-of-interest-alpha",
        entity_type="geofeature",
        alias="Area of Interest Alpha",
        subtype="zone",
        components={
            "geometry": {
                "type": "Polygon",
                "coordinates": [[
                    [-74.0060, 40.7128],
                    [-74.0070, 40.7128],
                    [-74.0070, 40.7130],
                    [-74.0060, 40.7130],
                    [-74.0060, 40.7128]  # Must close the polygon
                ]]  # Note: coordinates is an array of coordinate rings
            }
        }
    )

Circle Geofeature

A circular area defined by a center point and radius. Use for circular zones, coverage areas, or proximity alerts.

async with AtlasCommandHttpClient("http://localhost:8000") as client:
    circle = await client.create_entity(
        entity_id="perimeter-epsilon",
        entity_type="geofeature",
        alias="Perimeter Epsilon",
        subtype="zone",
        components={
            "geometry": {
                "point_lat": 40.7128,  # Center latitude
                "point_lng": -74.0060,  # Center longitude
                "radius_m": 500  # Radius in meters
            },
            "geometry_type": "circle"
        }
    )

Common components for geofeatures:

  • geometry: Geometry definition (required)
  • geometry_type: Explicit type specification (for circles: "circle")
  • description: Human-readable description of the geofeature
  • mil_view: Classification metadata if applicable

Features

  • Uses httpx.AsyncClient under the hood with pluggable transport/timeouts.
  • Convenience methods for every public endpoint:
    • list_entities, get_entity, create_entity, update_entity, delete_entity, get_entity_by_alias, update_entity_telemetry
    • list_tasks, create_task, get_task, update_task, delete_task, get_tasks_by_entity, start_task, complete_task, fail_task
  • list_objects, create_object (uploads a file via /objects/upload), get_object,
  • update_object, delete_object,
  • get_objects_by_entity, get_objects_by_task, find_orphaned_objects,
  • add_object_reference, remove_object_reference, get_object_references,
  • validate_object_references, cleanup_object_references
    • get_changed_since, get_full_dataset
  • Optional bearer token support via the token= constructor parameter.
  • Context manager support (async with client:) to manage connection lifecycle.

Field reference

Client configuration

  • AtlasCommandHttpClient(base_url, *, token=None, timeout=10.0, transport=None) – requires base_url, optional token, timeout, and transport.

Entities

  • list_entities(*, limit=100, offset=0) – optional pagination parameters based on defaults.
  • get_entity(entity_id) – requires entity_id.
  • get_entity_by_alias(alias) – requires alias.
  • create_entity(*, entity_id, entity_type, alias, subtype, components=None) – requires entity_id, entity_type, alias, and subtype; components are optional.
  • update_entity(entity_id, *, components=None) – requires entity_id, optional component patch.
  • delete_entity(entity_id) – requires entity_id.
  • update_entity_telemetry(entity_id, *, latitude=None, longitude=None, altitude_m=None, speed_m_s=None, heading_deg=None) – requires entity_id; telemetry values are optional and only set when provided.

Tasks

  • list_tasks(*, status=None, limit=25) – optional status and page size.
  • get_task(task_id) – requires task_id.
  • create_task(*, task_id, components=None) – requires task_id; components optional.
  • update_task(task_id, *, components=None) – requires task_id; components optional.
  • delete_task(task_id) – requires task_id.
  • get_tasks_by_entity(entity_id, *, status=None, limit=25) – requires entity_id; filters optional.
  • start_task(task_id) / complete_task(task_id) – each requires task_id.
  • fail_task(task_id, *, error_message=None, error_details=None) – requires task_id; error info optional.

Objects

  • list_objects(*, content_type=None, limit=100, offset=0) – optional filters.
  • get_object(object_id) – requires object_id.
  • create_object(file, *, object_id, usage_hint=None, referenced_by=None) – requires file data and object_id; usage_hint and referenced_by optional.
  • update_object(object_id, *, usage_hints=None, referenced_by=None) – requires object_id; metadata optional.
  • delete_object(object_id) – requires object_id.
  • get_objects_by_entity(entity_id, *, limit=50) – requires entity_id, optional pagination.
  • get_objects_by_task(task_id, *, limit=50) – requires task_id, optional pagination.
  • add_object_reference(object_id, *, entity_id=None, task_id=None) / remove_object_reference(...) – require object_id; provide either entity_id or task_id to target the reference.
  • find_orphaned_objects(*, limit=100) – optional limit.
  • get_object_references(object_id) / validate_object_references(object_id) / cleanup_object_references(object_id) – each requires object_id.

Queries

  • get_changed_since(since, *, limit_per_type=None) – requires since; optional per-type limit.
  • get_full_dataset(*, entity_limit=None, task_limit=None, object_limit=None) – filters are optional.

Configuration

client = AtlasCommandHttpClient(
    "https://atlas.example.com",
    token="my-api-token",
    timeout=30.0,
)

You can also pass a custom httpx transport for testing:

transport = httpx.MockTransport(my_handler)
client = AtlasCommandHttpClient("http://testserver", transport=transport)

Breaking changes

  • create_entity now requires alias and no longer accepts published_at, updated_at, or extra.
  • create_task / update_task drop status/extra; lifecycle helpers no longer accept started_by or result.
  • create_object is the only object-creation helper and always uploads a file via /objects/upload; storage metadata and sizing is server-managed.

Testing

Run the suite with:

pip install -e .[dev]
pytest

The tests use httpx.MockTransport so they do not require a running Atlas Command instance.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

atlas_asset_client-0.2.6.tar.gz (15.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

atlas_asset_client-0.2.6-py3-none-any.whl (13.3 kB view details)

Uploaded Python 3

File details

Details for the file atlas_asset_client-0.2.6.tar.gz.

File metadata

  • Download URL: atlas_asset_client-0.2.6.tar.gz
  • Upload date:
  • Size: 15.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.14

File hashes

Hashes for atlas_asset_client-0.2.6.tar.gz
Algorithm Hash digest
SHA256 e65388602af3dc3eb68565860e05d545718dac03e04f529fb246c7770feb4ba3
MD5 7f5c8fb7a217f2df5252503729a609ff
BLAKE2b-256 6ec34e0d665838685f29b22b59e59a328c4901b89180ac138271acbf103cb1df

See more details on using hashes here.

File details

Details for the file atlas_asset_client-0.2.6-py3-none-any.whl.

File metadata

File hashes

Hashes for atlas_asset_client-0.2.6-py3-none-any.whl
Algorithm Hash digest
SHA256 d148664e90748e5cae5e550d0cd37ce19408bfae4acaa653d7c488ae134464e5
MD5 e86a0aaea8302b57b4580bc73ab7289c
BLAKE2b-256 0c90bbcc11868a64b3fcc87dab6d0b67cf842974cbc7e6bc104d2aff845e4a88

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page