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Improvements to redocly format (#821)
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* openapi root init

* cont

* cont

* cont

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* contact info

* license
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farisdurrani committed Jun 17, 2023
1 parent 7bfba5a commit 09e7076
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98 changes: 0 additions & 98 deletions openapi/dataset_endpoints.yaml

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58 changes: 58 additions & 0 deletions openapi/openapi.yaml
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openapi: 3.1.0
info:
version: 1.0.0
title: Deep Learning Playground Backend API
contact:
email: dlp@datasciencegt.org
url: https://github.com/DSGT-DLP/Deep-Learning-Playground
license:
name: MIT
url: https://github.com/DSGT-DLP/Deep-Learning-Playground/blob/nextjs/LICENSE
description: >
Deep Learning Playground Backend API specifications
tags:
- name: dataset
description: Everything about dataset
- name: s3
description: Everything about s3
- name: test
description: Test API endpoints
- name: trainspace
description: Everything about trainspace
servers:
- url: https://example.com/api/v1
paths:
/dataset/defaultDataset:
$ref: paths/dataset/defaultDataset.yaml
/dataset/getColumnsFromDatasetFile:
$ref: paths/dataset/getColumnsFromDatasetFile.yaml
/s3/getExecutionsFilesPresignedUrls:
$ref: paths/s3/getExecutionsFilesPresignedUrls.yaml
/s3/getSignedUploadUrl:
$ref: paths/s3/getSignedUploadUrl.yaml
/s3/getUserDatasetFilesData:
$ref: paths/s3/getUserDatasetFilesData.yaml
/test:
$ref: paths/test/none.yaml
/trainspace/create-trainspace:
$ref: paths/trainspace/create-trainspace.yaml
/trainspace/getTrainspaceData:
$ref: paths/trainspace/getTrainspaceData.yaml
# components:
# securitySchemes:
# main_auth:
# type: oauth2
# flows:
# implicit:
# authorizationUrl: http://example.com/api/oauth/dialog
# scopes:
# read:users: read users info
# write:users: modify or remove users
# api_key:
# type: apiKey
# in: header
# name: api_key
# basic_auth:
# type: http
# scheme: basic
42 changes: 42 additions & 0 deletions openapi/paths/dataset/defaultDataset.yaml
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post:
summary: Default dataset
description: Endpoint to get user selected default dataset for training
tags:
- dataset
requestBody:
content:
application/json:
schema:
type: string
required:
- using_default_dataset
properties:
using_default_dataset:
type: string
description: dataset selected for training
example:
using_default_dataset: "IRIS"
required: true
responses:
"200":
description: Dataset selected successfully
content:
application/json:
schema:
type: object
properties:
columns:
type: array
example: [col1, col2, col3]
"400":
description: Dataset wasn't selected properly. This is usually something wrong with your code
"401":
description: User is not authenticated
content:
application/json:
schema:
type: object
properties:
error:
type: string
example: "User is not authenticated"
52 changes: 52 additions & 0 deletions openapi/paths/dataset/getColumnsFromDatasetFile.yaml
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post:
summary: Get columns from dataset file
description: "API Endpoint to retrieve columns from a user uploaded dataset file (eg: column names for a CSV file)"
tags:
- dataset
requestBody:
content:
application/json:
schema:
type: string
required:
- uid
- data_source
- name
properties:
uid:
type: string
description: User Id
data_source:
type: string
description: "What type of training was the user running (eg: TABULAR, PRETRAINED, OBJECT_DETECTION, IMAGE, etc)"
name:
type: string
description: Name of dataset file
example:
uid: "1234"
data_source: "TABULAR"
name: "data.csv"
required: true
responses:
"200":
description: Columns Fetched Successfully
content:
application/json:
schema:
type: object
properties:
columns:
type: array
example: [col1, col2, col3]
"400":
description: Dataset columns weren't selected properly. This is usually something wrong with your code
"401":
description: User is not authenticated
content:
application/json:
schema:
type: object
properties:
error:
type: string
example: "User is not authenticated"
41 changes: 41 additions & 0 deletions openapi/paths/s3/getExecutionsFilesPresignedUrls.yaml
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post:
description: API Endpoint to use S3 Presigned URLs to retrieve result files from S3 given an execution id
tags:
- s3
requestBody:
content:
application/json:
schema:
type: object
required:
- exec_id
properties:
exec_id:
type: string
description: The execution id
example:
exec_id: "1234"
required: true
responses:
"200":
description: Result files for your execution fetched successfully
content:
application/json:
schema:
type: object
properties:
message:
type: string
example: "Result file fetch successful"
"400":
description: Result file fetch didn't go through successfully. This is usually something wrong with your code
"401":
description: User is not authenticated
content:
application/json:
schema:
type: object
properties:
error:
type: string
example: "User is not authenticated"
51 changes: 51 additions & 0 deletions openapi/paths/s3/getSignedUploadUrl.yaml
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post:
description: Endpoint to upload files to S3
tags:
- s3
requestBody:
content:
application/json:
schema:
type: object
required:
- version
- filename
- file
properties:
version:
type: integer
description: The file version
filename:
type: string
description: The name of the file
file:
type: object
description: the file
example:
version: 2
filename: "file"
file: { "col1": [val1, val2], "col2": [val3, val4] }
required: true
responses:
"200":
description: Data uploaded successfully
content:
application/json:
schema:
type: object
properties:
message:
type: string
example: "Upload successful"
"400":
description: Upload didn't go through successfully. This is usually something wrong with your code
"401":
description: User is not authenticated
content:
application/json:
schema:
type: object
properties:
error:
type: string
example: "User is not authenticated"
42 changes: 42 additions & 0 deletions openapi/paths/s3/getUserDatasetFilesData.yaml
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post:
description: API Endpoint to retrieve all user dataset files uploaded in S3
tags:
- s3
requestBody:
content:
application/json:
schema:
type: object
required:
- uid
- data_source
properties:
uid:
type: string
description: User ID
data_source:
type: string
description: "What type of training was the user running (eg: TABULAR, PRETRAINED, OBJECT_DETECTION, IMAGE, etc)"
responses:
"200":
description: User Dataset files for user fetched successfully
content:
application/json:
schema:
type: object
properties:
message:
type: string
example: "User Dataset file fetch successful"
"400":
description: User Dataset files for user wasn't fetched successfully. This is usually something wrong with your code
"401":
description: User is not authenticated
content:
application/json:
schema:
type: object
properties:
error:
type: string
example: "User is not authenticated"

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