Cognite 3D Files API
The 3D Files API from Cognite — 2 operation(s) for 3d files.
The 3D Files API from Cognite — 2 operation(s) for 3d files.
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openapi: 3.2.0
info:
title: Cognite 3D Files API
description: '# Introduction
This is the reference documentation for the Cognite API with
an overview of all the available methods.'
version: v1
contact:
name: Cognite Support
url: https://support.cognite.com
email: support@cognite.com
servers:
- url: https://{cluster}.cognitedata.com/api/v1/projects/{project}
description: The URL for the CDF cluster to connect to
variables:
cluster:
enum:
- api
- az-tyo-gp-001
- az-eastus-1
- az-power-no-northeurope
- westeurope-1
- asia-northeast1-1
- gc-dsm-gp-001
default: api
description: The CDF cluster to connect to
project:
default: publicdata
description: The CDF project name.
security:
- oidc-token:
- https://{cluster}.cognitedata.com/.default
- oauth2-client-credentials:
- https://{cluster}.cognitedata.com/.default
- oauth2-open-industrial-data:
- https://api.cognitedata.com/.default
- oauth2-auth-code:
- https://{cluster}.cognitedata.com/.default
tags:
- name: 3D Files
paths:
/3d/files/{threedFileId}:
get:
tags:
- 3D Files
summary: Retrieve a single 3D file
description: '> **Required capabilities:** `threedAcl:READ`
Retrieve the contents of a 3D file. This applies to the output types ''ciff-processed'', ''ciff-partially-processed'' and ''node-property-metadata-json''.
This endpoint supports tag-based caching.
This endpoint is only compatible with 3D file IDs from the 3D API, and not compatible with
file IDs from the Files API.'
operationId: get3DFile
parameters:
- name: threedFileId
in: path
description: The ID of the 3D file to retrieve.
required: true
schema:
type: integer
format: int64
responses:
'200':
description: Success
content:
'*/*':
schema:
type: string
description: The raw contents of the file.
format: binary
headers:
Content-Type:
schema:
type: string
description: The media type of the file.
'400':
$ref: '#/components/responses/ErrorResponse'
x-capability:
- threedAcl:READ
x-code-samples:
- lang: JavaScript
label: JavaScript SDK
source: await client.files3D.retrieve(3744350296805509);
- lang: Python
label: Python SDK
source: 'res = client.three_d.files.retrieve(1)
'
- lang: Java
label: Java SDK
source: "client.threeD().files().downloadToPath(1L, Paths.get(\"\")); \n\n"
/3d/files/{threedFileId}/{subPath}:
get:
tags:
- 3D Files
summary: Retrieve a 3D directory file
description: '> **Required capabilities:** `threedAcl:READ`
Retrieve the contents of a 3D file, for a blobId which is of a directory type.
This applies to the output types ''gltf-directory'', ''reveal-directory'', ''ept-pointcloud'', ''tiles-directory'', ''model-from-points''.
The ''subPath'' elements, i.e. directory and/or file names, within each directory output type is subject to change and depends on each output type.
- The ''gltf-directory'' output is used by Reveal v3+ for visualizing CAD files and contains a ''scene.json'' file, which describes what other files are available within the blobId.
- The ''reveal-directory'' output is used by Reveal v1-2 for visualizing CAD files and contains a ''scene.json'' file, which describes what other files are available within the blobId.
- The ''ept-pointcloud'' output is used by Reveal for visualizing point clouds, and contains a ''ept.json'' file. The ''ept.json'' file contains general information for the point cloud data. The file named ''ept-hierarchy/0-0-0-0.json'' for the same blobId lists all the output point files which can be retrieved from a ''ept-data'' folder for the same blobId, e.g. ''ept-data/0-0-0-0.bin''. The ''.bin'' files are in a custom point cloud format following the schema in the ''ept.json'' file. Additionally, a ''filterOptions.json'' file contains a description of which options were used when processing the point cloud.
Experimental outputs, normally not enabled:
The ''tiles-directory'' output contains files for classification of the point cloud data. Retrieve the ''tiles.json'' file from this output for a overview of the files within this output.
The ''model-from-points'' output is used for storing a mesh based output file of some parts of the point cloud. This is stored as a ''model.ciff'' file, in the Cognite internal file format.
This endpoint supports tag-based caching.
This endpoint is only compatible with 3D file IDs from the 3D API, and not compatible with
file IDs from the Files API.'
operationId: get3DDirectoryFile
parameters:
- name: threedFileId
in: path
description: The blob ID of the 3D output directory.
required: true
schema:
type: integer
format: int64
- name: subPath
in: path
description: The filename for the 3D file to retrieve.
required: true
schema:
type: string
responses:
'200':
description: Success
content:
'*/*':
schema:
type: string
description: The raw contents of the file.
format: binary
headers:
Content-Type:
schema:
type: string
description: The media type of the file.
'400':
$ref: '#/components/responses/ErrorResponse'
x-capability:
- threedAcl:READ
components:
responses:
ErrorResponse:
description: The response for a failed request.
content:
application/json:
schema:
type: object
required:
- error
properties:
error:
$ref: '#/components/schemas/Error'
schemas:
Error:
type: object
required:
- code
- message
description: Cognite API error.
properties:
code:
type: integer
description: HTTP status code.
format: int32
example: 401
message:
type: string
description: Error message.
example: Could not authenticate.
missing:
type: array
description: List of lookup objects that do not match any results.
items:
type: object
additionalProperties: true
duplicated:
type: array
description: List of objects that are not unique.
items:
type: object
additionalProperties: true
securitySchemes:
oidc-token:
type: http
scheme: bearer
bearerFormat: OpenID Connect or OAuth2 token
description: Access token issued by the CDF project's configured identity provider. Access token must be an OpenID Connect token, and the project must be configured to accept OpenID Connect tokens. Use a header key of 'Authorization' with a value of 'Bearer $accesstoken'. The token can be obtained through any flow supported by the identity provider.
oauth2-client-credentials:
type: oauth2
description: Access token issued by the CDF project's configured identity provider. Access token must be an OpenID Connect token, and the project must be configured to accept OpenID Connect tokens. Use a header key of 'Authorization' with a value of 'Bearer $accesstoken'. The token can be obtained through any flow supported by the identity provider.
flows:
clientCredentials:
tokenUrl: https://your-idps.token.url/
scopes:
default: https://{cluster}.cognitedata.com/.default
oauth2-auth-code:
type: oauth2
description: Access token issued by the CDF project's configured identity provider. Access token must be an OpenID Connect token, and the project must be configured to accept OpenID Connect tokens. Use a header key of 'Authorization' with a value of 'Bearer $accesstoken'. The token can be obtained through any flow supported by the identity provider.
flows:
authorizationCode:
authorizationUrl: https://your-idps.authorization.url/
tokenUrl: https://your-idps.token.url/
scopes:
default: https://{cluster}.cognitedata.com/.default
oauth2-open-industrial-data:
type: oauth2
description: Auth flow for Open Industrial Data. Get your client secret from https://hub.cognite.com/open-industrial-data-211.
flows:
clientCredentials:
tokenUrl: https://login.microsoftonline.com/48d5043c-cf70-4c49-881c-c638f5796997/oauth2/v2.0/token
scopes:
default: https://api.cognitedata.com/.default
org-oidc-token:
type: openIdConnect
openIdConnectUrl: https://auth.cognite.com/.well-known/openid-configuration
description: 'Access token issued by the Cognite authorization server, and valid for the target organization. The token must
be an OpenID Connect token, and it can be obtained by performing an OIDC login flow toward `auth.cognite.com`.
This is a single URL for all CDF organizations.'
x-tagGroups:
- name: Changelog
tags:
- Changelog
- name: Organizations and projects
tags:
- Organizations
- Projects
- name: Identity and access management
tags:
- Principals
- Groups
- Security categories
- Sessions
- Token
- User profiles
- Project Deletion Reporting
- name: Data modeling
tags:
- Data Modeling
- Data models
- Spaces
- Views
- Containers
- Nodes
- Instances
- Statistics
- Streams
- Records
- name: Asset-centric data model
tags:
- Assets
- Time series
- Synthetic Time Series
- Data point subscriptions
- Events
- Files
- Sequences
- Geospatial
- Seismic
- name: 3D
tags:
- 3D Models
- 3D Model Revisions
- 3D Files
- 3D Asset Mapping
- 3D Contextualization
- 3D Jobs
- 3D Migration
- 3D Scenes
- name: Contextualization
tags:
- Entity matching
- Entity matching pipelines
- Engineering diagrams
- Vision
- Advanced joins
- name: Cognite AI
tags:
- Agents
- Skills
- Chat Completions
- Document AI
- Models
- name: Documents
tags:
- Documents
- Document preview
- name: Data ingestion
tags:
- Raw
- Extraction Pipelines
- Extraction Pipelines Runs
- Extraction Pipelines Config
- Extractors
- name: Data organization
tags:
- Data sets
- Data domains
- Data products
- Rule sets
- Labels
- Relationships
- Annotations
- name: Transformations
tags:
- Transformations
- Transformation Jobs
- Transformation Schedules
- Transformation Notifications
- Query
- Schema
- name: Functions
tags:
- Functions
- Function calls
- Function schedules
- name: Hosted Extractors
tags:
- Sources
- Jobs
- Destinations
- Mappings
- name: PostgreSQL Gateway
tags:
- Postgres Gateway Users
- Postgres Gateway Tables
- name: SAP Writeback
tags:
- SAP Instances
- SAP Endpoints
- Schema Mappings
- Writeback Requests
- name: Data workflows
tags:
- Workflows
- Workflow versions
- Workflow executions
- Workflow triggers
- Tasks
- Workers
- name: Simulators
tags:
- Simulators
- Simulator Integrations
- Simulator Models
- Simulator Routines
- Simulation Runs
- Simulator Logs
- name: Units
tags:
- Units
- Unit Systems
- name: ''
tags:
- ''