Overview
This document outlines the GraphQL Occupancy API V2, which uses the Occupancy Aggregator service. Key updates include support for zone and floor queries, label aggregation, hybrid parking types, and two types of real-time subscriptions. The API is designed for efficient real-time parking space data retrieval and management, supporting various use cases from individual space monitoring to group and zone-level occupancy tracking.
Authorization
In order to authorize with this API, you need to add the following header to your request:
Key | Value |
---|
Authorization | <your token> |
Your token can be obtained from the Company Info section of the Nwave’s console.
Note |
---|
You are not able to make API calls more frequently, than 300 times per 5 minutes with the same token. If amount of requests exceeds the limit, API reponds with error until the end of the 5 minute interval. |
Endpoint Url
Info |
---|
This API is available at the following url: Code Block |
---|
| https://occupancy.api.nwave.io/graphql |
|
Request Types
Enums
OccupancyStatus
Code Block |
---|
|
enum OccupancyStatus {
Free
Occupied
Undefined
} |
Represents the current state of a parking space:
Free
: Space is available for parking
Occupied
: Space is currently in use
Undefined
: Status cannot be determined (e.g., sensor malfunction or missing data)
Code Block |
---|
|
enum LabelsMatch {
all
any
exclude
} |
Defines how multiple label filters should be applied when searching for parking spaces:
all
: Space must have all specified labels
any
: Space must have at least one of the specified labels
exclude
: Space must not have any of the specified labels
Code Block |
---|
|
enum GroupBy {
project
zone
level
group
position
} |
Specifies the hierarchical level at which to aggregate parking data:
project
: Aggregate across entire projects
zone
: Aggregate by zones
level
: Aggregate by floor/level
group
: Aggregate by parking space groups
position
: Show individual parking spaces
Code Block |
---|
|
enum CheckConsistency {
hierarchy
} |
Controls validation of hierarchical relationships in queries:
Code Block |
---|
|
input LocationWithRadiusInput {
distanceMeters: Int!
latitude: Float!
longitude: Float!
} |
Defines a circular geographical area by specifying a center point and radius. Used for location-based filtering of parking data.
Fields:
latitude
: The latitude coordinate of the center point
longitude
: The longitude coordinate of the center point
distanceMeters
: The radius of the circular area in meters, defining how far from the center point to include results
Code Block |
---|
|
input FilterInput {
id: ID!
area: LocationWithRadiusInput
projectId: [Int!]
zoneId: [Int!]
levelId: [Int!]
groupId: [Int!]
groupCustomId: [String!]
networkId: [String!]
labels: [String!]
labelsMatch: LabelsMatch
floorNumber: [Int!]
groupBy: GroupBy
} |
Provides comprehensive filtering capabilities for querying parking occupancy data.
Fields:
Response Types
Core Types
Core types form the foundation of the occupancy API, with Location being used to position elements geographically and OccupancySummary providing the essential metrics needed to understand parking availability at any level of the system hierarchy.
Location
Code Block |
---|
|
type Location {
lat: Float!
lon: Float!
} |
Represents a geographical coordinate point used throughout the API to specify positions of parking facilities, zones, spaces and other physical elements in the system.
Fields:
Code Block |
---|
|
type OccupancySummary {
total: Int
occupied: Int
available: Int
undefined: Int
} |
Provides statistical information about parking space occupancy. It is used across different hierarchy levels (projects, zones, levels, groups) to give an overview of parking space utilization and availability.
Fields:
total
: The total number of parking spaces in the scope
occupied
: The number of parking spaces currently in use
available
: The number of parking spaces currently available for use
undefined
: The number of parking spaces whose status cannot be determined (e.g., no sensor in position or device error)
Info |
---|
When handling parking space availability, it is recommended to treat spaces with undefined OccupancyStatus as occupied to avoid potential space conflicts and ensure better user experience. |
Hierarchical Types
ProjectOccupancy
Code Block |
---|
|
type ProjectOccupancy {
id: ID!
name: String
location: Location
occupancy: OccupancySummary!
} |
Represents the highest level in the parking facility hierarchy, typically encompassing an entire parking facility or a collection of parking areas managed as a single entity. It provides aggregated occupancy data for all parking spaces within the project.
Fields:
id
: Unique integer identifier for the project
name
: Human-readable name of the parking project
location
: Geographic coordinates representing the project's central location point
occupancy
: Aggregated statistics showing total spaces, occupied spaces, available spaces, and undefined statuses across the entire project
Code Block |
---|
|
type ZoneOccupancy {
id: ID!
name: String
projectId: String!
location: Location
occupancy: OccupancySummary!
} |
Represents a distinct area within a parking facility that contains multiple parking spaces. Zones help organize parking facilities into logical sections and provide aggregated occupancy data for their contained spaces.
Fields:
id
: Unique integer identifier for the zone
name
: Human-readable name for the zone (e.g., "South Garage")
projectId
: Reference to the parent project containing this zone
location
: Geographic coordinates representing the central point of the zone
occupancy
: Statistical summary of parking space availability within the zone
Code Block |
---|
|
type LevelOccupancy {
id: ID!
name: String
zoneId: Int!
projectId: Int!
floorNumber: Int
occupancy: OccupancySummary!
} |
Represents a floor or level within a parking facility, providing occupancy data for a specific vertical section of the facility. This type is particularly useful for multi-story parking structures where understanding availability per floor is important for navigation and space allocation.
Fields:
id
: Unique integer identifier for the level
name
: Human-readable name for the level (e.g., "Ground Floor", "Level C")
zoneId
: Reference to the parent zone containing this level
projectId
: Reference to the parent project containing this level
floorNumber
: Numeric representation of the floor level within the structure
occupancy
: Statistical summary of parking space availability on this level
Code Block |
---|
|
type GroupOccupancy {
id: ID!
projectId: Int!
zoneId: Int!
levelId: Int!
name: String
groupType: String!
customId: String
locations: [Location!]!
occupancy: OccupancySummary!
} |
Represents a collection of related parking spaces within a level, such as designated sections for specific types of vehicles or parking purposes. Groups allow for logical organization of parking spaces and enable targeted monitoring of specialized parking areas.
Fields:
id
: Unique integer identifier for the group
projectId
: Reference to the parent project containing this group
zoneId
: Reference to the parent zone containing this group
levelId
: Reference to the parent level containing this group
name
: Human-readable name for the group (e.g., "EV Charging Section", "Row 2A")
groupType
: Classification of the group's type ('general', 'marked_parking_bay', 'unmarked_parking_bay', 'standalone_car_counters', 'array_car_counters', 'multi_level_parking')
customId
: Optional external identifier for integration with other systems
locations
: Array of geographic coordinates defining the physical bounds of the group
occupancy
: Statistical summary of parking space availability within the group
Code Block |
---|
|
type PositionOccupancy {
id: ID!
customId: String
groupId: Int!
zoneId: Int!
levelId: Int!
projectId: Int!
occupancyStatus: OccupancyStatus!
statusChangeTime: AWSDateTime
location: Location!
labels: [String!]
} |
Represents an individual parking space and its current state. This type provides the most granular level of occupancy data, enabling precise tracking of individual space availability and characteristics.
Fields:
id
: Unique integer identifier for the parking space
customId
: Optional external identifier for integration with other systems
groupId
: Reference to the parent group containing this position
zoneId
: Reference to the parent zone containing this position
levelId
: Reference to the parent level containing this position
projectId
: Reference to the parent project containing this position
occupancyStatus
: Current state of the parking space (Free/Occupied/Undefined)
statusChangeTime
: Timestamp of when the occupancy status last changed
location
: Geographic coordinates of the parking space
labels
: Array of tags describing characteristics of the space (e.g., "EV", "Disabled", "VIP")
CreateSubscriptionResponse
Code Block |
---|
|
type CreateSubscriptionResponse {
id: ID!
expiresOn: AWSDateTime!
} |
Returns the essential information needed to manage real-time data subscriptions. This type is returned by all subscription-related mutations, including creation, updates, and keep-alive operations.
Fields:
Code Block |
---|
|
type OccupancySnapshot {
id: ID!
projects: [ProjectOccupancy!]
zones: [ZoneOccupancy!]
levels: [LevelOccupancy!]
groups: [GroupOccupancy!]
positions: [PositionOccupancy!]
occupancy: OccupancySummary
} |
Represents a complete state capture of parking occupancy data at a specific moment in time. This type provides a hierarchical view of the entire parking system, from individual spaces up to projects, enabling comprehensive analysis of parking availability across all levels of organization.
Fields:
SubscriptionOccupancySnapshot
Code Block |
---|
|
type SubscriptionOccupancySnapshot {
id: ID!
time: AWSDateTime!
filters: [OccupancySnapshot!]!
} |
Represents the response payload for snapshot-based subscriptions, providing complete state information for all entities matching the subscription filters. This type is used when subscribers need comprehensive occupancy data rather than just changes.
Fields:
id
: Unique UUID identifier linking this update to its subscription
time
: Timestamp indicating when this snapshot was generated
filters
: Array of complete occupancy snapshots matching the subscription's filter criteria
SubscriptionOccupancyUpdates
Code Block |
---|
|
type SubscriptionOccupancyUpdates {
id: ID!
time: AWSDateTime!
project: ProjectOccupancy
zone: ZoneOccupancy
level: LevelOccupancy
group: GroupOccupancy
position: PositionOccupancy
} |
Represents the response payload for update-based subscriptions, providing only changed entities since the last update. The specific field populated in the response corresponds to the groupBy
parameter specified during subscription creation (e.g., if groupBy: zone
was specified, only the zone
field will contain data).
Fields:
id
: Unique UUID identifier linking this update to its subscription
time
: Timestamp indicating when this update was generated
project
: Updated project data when grouping by projects
zone
: Updated zone data when grouping by zones
level
: Updated level data when grouping by levels
group
: Updated group data when grouping by groups
position
: Updated individual space data when grouping by positions
Operations
Queries
In GraphQL, a Query is similar to a GET request in traditional APIs, where the client requests data from the server. Clients can pass query parameters to filter or specify the data they need, making queries customizable and efficient. Each query defines what fields to retrieve, and the server responds with only the requested data.
Project
QueriesOccupancy Query
Retrieves occupancy information for parking projects matching the specified criteria. This query is particularly useful for applications that need to monitor multiple parking facilities, such as city-wide parking management systems or multi-site parking operators.
Example use case: A parking management company uses a centralized dashboard to monitor parking occupancy across multiple projects and locations. The dashboard provides a global view of parking availability and usage statistics, helping the company analyze trends, optimize capacity, and make informed decisions on pricing or resource allocation. The query retrieves occupancy data for multiple projects, showing total, available, and occupied spaces.
Schema
Code Block |
---|
|
findProjectOccupancies(
id: [Int!],
|
latFloat,
lon: Float,
distanceMeters: IntLocationWithRadiusInput,
networkId: [String!],
groupId: [Int!],
levelId: [Int!],
labels: [String!],
labelsMatch: LabelsMatch,
floorNumber: [Int!],
zoneId: [Int!],
groupCustomId: [String!],
limit: Int = 100,
offset: Int = 0
): [ProjectOccupancy!]! |
Example Query
Code Block |
---|
|
{
findProjectOccupancies(
|
projectId[101,202,303]){
latitude: 37.7749,
longitude: -122.4194,
distanceMeters: 5000
},
labels: ["EV"],
labelsMatch: any
) {
id
name
location {
lat
lon
}
occupancy {
total
available
occupied
undefined
}
}
} |
Zone Queries
Example use case: A mobile app helps drivers find available parking zones near their current location. The app allows users to specify the maximum distance from their location and shows the available parking spaces in nearby zones.
Code Block |
---|
|
findZoneOccupancies(
id: [Int!],
lat: Float,
lon: Float,
distanceMeters: Int,
networkId: [String!],
groupId: [Int!],
levelId: [Int!],
labels: [String!],
labelsMatch: LabelsMatch,
floorNumber: [Int!],
projectId: [Int!],
groupCustomId: [String!],
limit: Int = 100,
offset: Int = 0
): [ZoneOccupancy] |
Code Block |
---|
|
{
findZoneOccupancies(
lat: 37.7749,
lon: -122.4194,
distanceMeters: 5000,
) {
name
location { Code Block |
---|
|
{
"data": {
"findProjectOccupancies": [
{
"id": "101",
"name": "Downtown Garage",
"location": {
"lat": 37.7763,
"lon": -122.4189
},
"occupancy": {
"total": 500,
"available": 123,
|
latlon}occupancy{available}
}Level Queries
Example use case: A parking facility is equipped with digital signage to help drivers locate available parking spaces on different levels. The digital signage system periodically queries the parking management system to retrieve the latest occupancy data for each level and displays the number of available spots on each floor. The system filters by specific zone and project IDs to ensure it only retrieves data for relevant sections of the parking facility.
Code Block |
---|
|
findLevelOccupancies(
id: [Int!],
lat: Float,
lon: Float,
distanceMeters: Int,
networkId: [String!],
groupId: [Int!],
labels: [String!],
labelsMatch: LabelsMatch,
floorNumber: [Int!],
zoneId: [Int!],
projectId: [Int!],
groupCustomId: [String!],
limit: Int = 100,
offset: Int = 0
): [LevelOccupancy] |
Code Block |
---|
|
{
findLevelOccupancies(
zoneId: [5],
projectId: [101],
floorNumber: [1, 2, 3],
) {
id
name
floorNumber
occupancy {
total
available
occupied
}
}
} |
Group Queries
Example use case: A city has implemented digital signage to guide drivers to available EV parking spots in outdoor street parking zones. The system uses parking occupancy data filtered for groups of EV-designated spots and displays the availability on signage near high-traffic areas. This reduces emissions by minimizing the time drivers spend searching for EV parking, thus supporting the city’s environmental goals.
Code Block |
---|
|
findGroupOccupancies(
id {
"id": "102",
"name": "City Center Parking",
"location": {
"lat": 37.7858,
"lon": -122.4207
},
"occupancy": {
"total": 300,
"available": 85,
"occupied": 215,
"undefined": 0
}
}
]
}
} |
Zone Occupancy Query
Retrieves occupancy information for parking zones within a specified geographic area. This query is ideal for mobile applications that need to display nearby parking availability to users based on their current location, helping drivers quickly find available parking in their vicinity.
Example use case: A mobile app helps drivers find available parking zones near their current location. The app allows users to specify the maximum distance from their location and shows the available parking spaces in nearby zones.
Schema
Code Block |
---|
|
findZoneOccupancies(
id: [Int!],
area: LocationWithRadiusInput,
networkId: [String!],
groupId: [Int!],
levelId: [Int!],
labels: [String!],
labelsMatch: LabelsMatch,
floorNumber: [Int!],
projectId: [Int!],
groupCustomId: [String!],
limit: Int = 100,
offset: Int = 0
): [ZoneOccupancy!]! |
Example Query
Code Block |
---|
|
{
findZoneOccupancies(
area: {
latitude: 37.7749,
longitude: -122.4194,
distanceMeters: 1000
},
limit: 5
) {
id
name
location {
lat
lon
}
occupancy {
available
total
}
}
} |
Example Response
Code Block |
---|
|
{
"data": {
"findZoneOccupancies": [
{
"id": "201",
"name": "Market Street Zone",
"location": {
"lat": 37.7751,
"lon": -122.4193
},
"occupancy": {
"available": 45,
"total": 120
}
},
{
"id": "202",
"name": "Union Square Zone",
"location": {
"lat": 37.7879,
"lon": -122.4075
},
"occupancy": {
"available": 28,
"total": 85
}
},
{
"id": "203",
"name": "Financial District Zone",
"location": {
"lat": 37.7946,
"lon": -122.3999
},
"occupancy": {
"available": 12,
"total": 150
}
}
]
}
} |
Level Occupancy Query
Retrieves occupancy information for specific levels or floors within parking facilities. This query is particularly useful for mobile applications that help users find parking in multi-story structures, enabling them to make informed decisions about which floor to park on before entering the facility.
Example use case: A hospital's patient check-in app checks parking availability across different levels of their parking structure. The app specifically looks for accessible parking spaces across multiple floors, allowing staff to direct patients to the most convenient parking level based on their appointment location and current availability. This helps reduce stress for patients arriving for appointments and ensures they can find appropriate parking quickly.
Schema
Code Block |
---|
|
findLevelOccupancies(
id: [Int!],
area: LocationWithRadiusInput,
networkId: [String!],
groupId: [Int!],
labels: [String!],
labelsMatch: LabelsMatch,
floorNumber: [Int!],
zoneId: [Int!],
projectId: [Int!],
groupCustomId: [String!],
limit: Int = 100,
offset: Int = 0
): [LevelOccupancy!]! |
Example Query
Code Block |
---|
|
{
findLevelOccupancies(
projectId: [101],
labels: ["accessible"],
labelsMatch: any,
floorNumber: [1, 2, 3]
) {
id
name
floorNumber
occupancy {
total
available
occupied
}
}
} |
Example Response
Code Block |
---|
|
{
"data": {
"findLevelOccupancies": [
{
"id": "301",
"name": "Ground Floor",
"floorNumber": 1,
"occupancy": {
"total": 50,
"available": 8,
"occupied": 42
}
},
{
"id": "302",
"name": "Level 2",
"floorNumber": 2,
"occupancy": {
"total": 45,
"available": 15,
"occupied": 30
}
},
{
"id": "303",
"name": "Level 3",
"floorNumber": 3,
"occupancy": {
"total": 45,
"available": 22,
"occupied": 23
}
}
]
}
} |
Group Occupancy Queries
Retrieves occupancy information for specific groups of parking spaces. This query is useful for applications that need to monitor specialized parking areas or specific sections within a parking facility.
Example use case: A hotel's concierge application monitors valet parking areas to efficiently manage premium parking services. The app helps valet staff quickly identify available spaces in premium sections when guests arrive, ensuring smooth operation of the valet service. By querying specific groups marked as both "valet" and "premium", the staff can direct drivers to appropriate sections based on current availability and service level requirements.
Schema
Code Block |
---|
|
findGroupOccupancies(
id: [Int!],
area: LocationWithRadiusInput,
networkId: [String!],
levelId: [Int!],
labels: [String!],
labelsMatch: LabelsMatch,
floorNumber: [Int!],
zoneId: [Int!],
projectId: [Int!],
groupCustomId: [String!],
limit: Int = 100,
offset: Int = 0
): [GroupOccupancy!]! |
Example Request
Code Block |
---|
|
{
findGroupOccupancies(
projectId: [101],
levelId: [301],
labels: ["valet", "premium"],
labelsMatch: all
) {
id
name
groupType
customId
locations {
lat
lon
}
occupancy {
total
available
occupied
}
}
} |
Example Response
Code Block |
---|
|
{
"data": {
"findGroupOccupancies": [
{
"id": "401",
"name": "Premium Valet Section A",
"groupType": "valet",
"customId": "PV-A-101",
"locations": [
{
"lat": 37.7851,
"lon": -122.4194
},
{
"lat": 37.7853,
"lon": -122.4194
}
],
"occupancy": {
"total": 25,
"available": 12,
"occupied": 13
}
},
{
"id": "402",
"name": "Premium Valet Section B",
"groupType": "valet",
"customId": "PV-B-101",
"locations": [
{
"lat": 37.7855,
"lon": -122.4194
},
{
"lat": 37.7857,
"lon": -122.4194
}
],
"occupancy": {
"total": 30,
"available": 8,
"occupied": 22
}
}
]
}
} |
Position Occupancy Query
Retrieves detailed information about individual parking spaces. This query provides the most granular level of parking data, allowing applications to access specific space characteristics and their current state.
Example use case: A logistics company's dispatch system needs to identify suitable parking spaces for their fleet of trucks in a multi-purpose parking facility. The system queries individual spaces with specific dimensions and characteristics (labeled as "oversized" and "truck") to assign appropriate parking spots during shift planning. This allows dispatchers to allocate specific spaces to drivers based on vehicle type and space characteristics during their route planning process.
Schema
Code Block |
---|
|
findPositionOccupancies(
id: [String!],
area: LocationWithRadiusInput,
groupId: [Int!],
levelId: [Int!],
labels: [String!],
labelsMatch: LabelsMatch,
floorNumber: [Int!],
zoneId: [Int!],
|
latFloatlonFloatdistanceMeterslimit: Int = 100,
offset: Int = 0
|
networkIdString!Example Request
Code Block |
---|
|
{
findPositionOccupancies(
projectId: [101],
levelId: [ |
Int!String!"oversized", "truck"],
labelsMatch: all
|
LabelsMatch,floorNumber: [Int!],zoneId: [Int!],projectId: [Int!],groupCustomId:[String!],limit:Int=100,offset:Int=0):[GroupOccupancy] Code Block |
---|
|
{findGroupOccupancies(labels:["EV"],labelsMatch:any,zoneId:[10, 22],) id "findPositionOccupancies": [
|
namegroupTypelocations{latlon
}occupancytotal
available occupied}}
}Position Queries
Example use case: A mobile app is designed to help drivers locate and navigate to individual parking spots within a parking facility. The app displays a map that shows the exact location of available parking spaces and guides the driver to the nearest free spot. The query retrieves data for individual parking positions, including their occupancy status and location, allowing the app to highlight available spaces on the map.
Code Block |
---|
|
findPositionOccupancies(
id: [String!],
lat: Float,
lon: Float,
distanceMeters: Int,
groupId: [Int!],
levelId: [Int!],
labels: [String!],
labelsMatch: LabelsMatch,
floorNumber: [Int!],
zoneId: [Int!],
projectId: [Int!],
groupCustomId: [String!],
limit: Int = 100,
offset: Int = 0
): [PositionOccupancy] |
Code Block |
---|
|
{
findPositionOccupancies(
lat: 40.7128,
lon: -74.0060,
distanceMeters: 500,
labels: ["EV"],
labelsMatch: any,
zoneId: [7]
) {
id
location {
lat
lon
}
occupancyStatus
statusChangeTime
},
"labels": ["oversized", "truck", "covered"],
"occupancyStatus": "Free",
"statusChangeTime": "2024-11-15T14:30:00Z"
},
{
"id": "502",
"customId": "T-202",
"location": {
"lat": 37.7852,
"lon": -122.4195
},
"labels": ["oversized", "truck", "covered"],
"occupancyStatus": "Occupied",
"statusChangeTime": "2024-11-15T12:15:00Z"
}
]
}
} |
Mutations and Subscriptions
Subscrption Types
This API enables the creation of subscriptions and provides real-time updates about these subscriptions. There are two types of subscriptions available:
Snapshot Subscriptions: Provide complete occupancy data for the subscribed entities whenever any change occurs.
Update Subscriptions: Provide only the changed occupancy data, making them more efficient for real-time updates.
In GraphQL, a mutation is used to modify or create data on the server, similar to POST, PUT, or DELETE requests in REST APIs. In our use case, mutations are used to create and update subscriptions, allowing clients to manage parking-related subscriptions.
Subscription expiry
Info |
---|
The subscription expiry time is automatically extended after each update. To extend a subscription without changing its parameters you should use the keepAliveSubscription mutation. |
Create Snapshot Subscription
Example use case: This mutation creates a subscription to monitor parking availability in zones 10 and 11 within project 101. It uses a zone-based grouping (groupBy: zone
) and filters for parking spaces labeled as EV. The subscription is limited to a 5,000-meter radius around the given coordinates (latitude: 37.7749, longitude: -122.4194). The labelsMatch: any
ensures that any space marked as EV will be included. The mutation response will include a unique subscription id
and an expiresOn
field, indicating when the subscription will expire.
Code Block |
---|
|
createSubscriptionOccupancySnapshot(
filters: [FilterInput!]!,
checkConsistency: [CheckConsistency!]
): CreateSubscriptionResponse! |
Code Block |
---|
|
mutation {
createSubscriptionOccupancySnapshot(
filters: [{
projectId: [101],
zoneId: [10, 11],
area: {
latitude: 37.7749,
longitude: -122.4194,
distanceMeters: 5000
},
labels: ["EV"],
labelsMatch: any,
groupBy: zone
}]
) {
id
expiresOn
}
} |
Create Updates Subscription
Example use case: When monitoring a large parking facility, receiving only changed data can significantly reduce bandwidth usage. This subscription will only return information about spaces that have changed their occupancy status.
Code Block |
---|
|
createSubscriptionOccupancyUpdates(
projectId: [Int!],
zoneId: [Int!],
levelId: [Int!],
floorNumber: [Int!],
groupId: [Int!],
groupCustomId: [String!],
networkId: [String!],
labels: [String!],
labelsMatch: LabelsMatch,
area: LocationWithRadiusInput,
groupBy: GroupBy!,
checkConsistency: [CheckConsistency!]
): CreateSubscriptionResponse! |
Code Block |
---|
|
mutation {
createSubscriptionOccupancyUpdates(
projectId: [101],
zoneId: [10, 11],
area: {
latitude: 37.7749,
longitude: -122.4194,
distanceMeters: 5000
},
labels: ["EV"],
labelsMatch: any,
groupBy: zone
) {
id
expiresOn
}
} |
Subscription Updates Warning
Note |
---|
Important: Sending an empty update will result in clearing all subscription parameters, which may disrupt the functionality of the subscription. Always ensure to include the full set of original parameters when extending or modifying a subscription to avoid unintended data loss or disruptions. |
Update Snapshot Subscription
Example use case: In this mobile app scenario, the user initially subscribed to parking availability within a 5,000-meter radius, but as they zoom in on the map, the subscription needs to be adjusted to a smaller area.
Code Block |
---|
|
mutation {
updateSubscriptionOccupancySnapshot(
id: "12345",
filters: [{
projectId: [101],
zoneId: [10, 11],
area: {
latitude: 37.7749,
longitude: -122.4194,
distanceMeters: 1000 # Updated
},
labels: ["EV"],
labelsMatch: any,
groupBy: position # Updated
}]
) {
id
expiresOn
}
} |
Update Updates Subscription
Similar to updating snapshot subscriptions, but for the more efficient updates-only subscription
Code Block |
---|
|
mutation {
updateSubscriptionOccupancyUpdates(
id: "12345",
projectId: [101],
zoneId: [10, 11],
area: {
latitude: 37.7749,
longitude: -122.4194,
distanceMeters: 1000
},
labels: ["EV"],
labelsMatch: any,
groupBy: position
) {
id
expiresOn
}
} |
Demand Snapshot
Example use case: During testing or debugging, you may need to manually trigger a complete data update.
Code Block |
---|
|
mutation {
demandSubscriptionOccupancySnapshot(id: "12345")
} |
Keep Alive Subscirption
Extends the expiration time of any subscription without modifying its parameters.
Code Block |
---|
|
mutation {
keepAliveSubscription(id: "12345") {
id
expiresOn
}
} |
GraphQL Schema