Cenevo Vectors API

openapi: 3.0.0
info:
  title: Labguru Antibodies Vectors API
  description: "Labguru API is a JSON / REST based API, get started by reviewing the documentation below or code samples.<br>\n        Join our dedicated [Slack channel](https://join.slack.com/t/labgurus/shared_invite/zt-199glfagl-QZQ_bKl7vLAi8CQSuNrRug)\n        to be in direct contact with our API team and be informed about the latest updates.<br>\n        ***[API introduction and overview](https://help.labguru.com/en/articles/6149483-api-introduction-and-overview)***"
  version: v1
tags:
- name: Vectors
paths:
  /api/v1/vectors:
    post:
      summary: Creates a vectors
      tags:
      - Vectors
      parameters: []
      responses:
        '201':
          description: vector created
        '422':
          description: invalid request - dataset_id can't be blank
        '401':
          description: 'Error: Unauthorized'
      requestBody:
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/createVector'
        required: true
    get:
      summary: List all vectors in your account
      tags:
      - Vectors
      parameters:
      - name: token
        in: query
        required: true
        schema:
          type: string
      - name: page
        in: query
        description: the default call is with page = 1
        schema:
          type: integer
      - name: meta
        in: query
        description: ' show summarized data information - true/false'
        schema:
          type: string
      responses:
        '200':
          description: success
        '404':
          description: page not found
  /api/v1/vectors/{id}:
    put:
      summary: Update vector attributes
      tags:
      - Vectors
      parameters:
      - name: id
        in: path
        required: true
        description: vector id
        schema:
          type: integer
      responses:
        '200':
          description: vector updated
        '422':
          description: invalid request
        '401':
          description: 'Error: Unauthorized'
      requestBody:
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/updateVector'
        required: true
    get:
      summary: Get vector by id
      tags:
      - Vectors
      parameters:
      - name: token
        in: query
        required: true
        schema:
          type: string
      - name: id
        in: path
        required: true
        description: vector id
        schema:
          type: integer
      responses:
        '200':
          description: success
        '404':
          description: vector not found
    delete:
      summary: Delete vector
      tags:
      - Vectors
      parameters:
      - name: token
        in: query
        required: true
        schema:
          type: string
      - name: id
        in: path
        required: true
        description: vector id
        schema:
          type: integer
      responses:
        '204':
          description: no content
        '404':
          description: not found
components:
  schemas:
    updateVector:
      type: object
      required:
      - token
      properties:
        token:
          type: string
          example: YOUR TOKEN IS HERE
        dataset_id:
          type: integer
          description: the dataset id
        vector_data:
          type: string
          description: 'fields must be same as column headers in the dataset - {"data_header": "item_name"}'
          example:
            column1: value1
            column2: value2
    createVector:
      type: object
      required:
      - token
      - dataset_id
      - vector_data
      properties:
        token:
          type: string
          example: YOUR TOKEN IS HERE
        dataset_id:
          type: integer
          description: the dataset id
        vector_data:
          type: string
          description: 'fields must be same as column headers in the dataset {"data_header": "item_name"}'
          example:
            column1: value1
            column2: value2