> ## Documentation Index
> Fetch the complete documentation index at: https://api-docs.datagol.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Login to DataGOL

> ## 1️⃣ Overview

**Purpose:**  
Authenticates a user into the DataGOL Platform.

On success, it returns the user's profile, including their administrative roles and assigned permissions within the workspace.

---

## 2️⃣ Endpoint

``` bash
POST /idp/api/v1/user/login

 ```

Base URL:

```
https://be.datagol.ai

 ```

---

## 3️⃣ Request Headers

| Header | Required |
| --- | --- |
| Content-Type: application/json | ✅ Yes |

---

## 4️⃣ Request Body Schema

``` json
{
  "email": "string",
  "password": "string"
}

 ```

---

## 5️⃣ Field Descriptions

### Login Fields

| Field | Type | Description |
| --- | --- | --- |
| email | string | The registered email address (e.g., [sample_email@datagol.com](https://mailto:sample_email@datagol.com)). |
| password | string | The user's account password. |

---

## 6️⃣ Example Request

``` bash
curl -X POST https://be.datagol.ai/idp/api/v1/user/login \
-H "Content-Type: application/json" \
-d '{
  "email": "sample_email@datagol.com",
  "password": "UserPassword123"
}'

 ```

---

## 7️⃣ Behavior Summary

Authenticates a user into the DataGOL Platform and returns the user profile with administrative roles and workspace permissions.



## OpenAPI

````yaml /openapi/openapi.yaml post /idp/api/v1/user/login
openapi: 3.0.0
info:
  title: DataGOL APIs
  version: 1.0.0
  description: ''
servers:
  - url: https://be.datagol.ai
  - url: https://be.datagol.ai
  - url: https://kg.datagol.ai
  - url: https://ai.datagol.ai
security: []
tags:
  - name: Links & Joins
    description: >
      ## 🔗 Links & Joins


      LINK and LOOKUP are special workbook column types that enable relational
      data modeling across tables.


      | Column Type | Purpose |

      |---|---|

      | `LINK` | Defines a relationship between two tables |

      | `LOOKUP` | Projects columns from an associated table via a link |


      Both are configured through `ColumnDTO.colOptions`. A table can have
      multiple link columns, and each link can have multiple lookup columns.


      ---


      ## 📐 UI Data Types


      - **LINK** — Special column used to represent inter-table relations

      - **LOOKUP** — Special column used to project associated table fields via
      a link


      ---


      ## 🔗 LINK Semantics


      A LINK column stores metadata for:

      - `tableId` — Current table

      - `associatedTableId` — Associated (linked) table

      - `relationType` — Type of relationship

      - `linkColumnId` — Link column identifier


      **Supported relation patterns:**


      | Pattern | Description |

      |---|---|

      | `ONE_TO_ONE` | Each record in the source maps to one record in the
      destination |

      | `ONE_TO_MANY` | One source record maps to many destination records |

      | `MANY_TO_MANY` | Many source records map to many destination records |


      ---


      ## 🔍 LOOKUP Semantics


      - A LOOKUP column is tightly coupled with a specific LINK column

      - References a link using `linkColumnId`

      - Represents a selected column from the associated table

      - Multiple lookup columns can be defined for the same link


      ---


      ## 🗂️ Metadata in `ColumnDTO.colOptions`


      Use `colOptions` to persist link/lookup metadata.


      | Field | Description |

      |---|---|

      | `columnId` | Current column ID |

      | `tableId` | Current table ID |

      | `associatedTableId` | Associated table ID |

      | `linkColumnId` | Link column ID — used by LOOKUP; references the LINK
      column's `columnId` |

      | `relationType` | Relation semantics for LINK |


      ---


      ## 🔄 Manual Linking Record Flow


      To create manual record-level links:


      1. Fetch associated table schema/data

      2. User selects associated record(s) to link

      3. Send linking payload with:
          - `sourceRecordId` — PK of the current table row
          - `destinationRecordId` — PK of the associated table row
          - `linkColumnId` — LINK column identifier
      4. Backend resolves link metadata from `linkColumnId` (relation type,
      associated table, direction/constraints)

      5. Backend applies relation rules and stores the link relation


      ---


      ## 📋 Record Linking Contract


      | Field | Description |

      |---|---|

      | `sourceRecordId` | PK of the current table row |

      | `destinationRecordId` | PK of the associated table row |

      | `linkColumnId` | LINK column identifier |

      | `tableId` | Current table ID |


      > Backend derives all remaining relation metadata from the link
      configuration.


      ---


      ## ⚠️ Important Notes


      > - LINK and LOOKUP are **column-level constructs** first; record linking
      is a data-level operation built on top

      > - LOOKUP behavior depends on LINK existence and metadata integrity

      > - With multiple links to the same associated table, each LOOKUP must
      bind to the correct `linkColumnId`

      > - Always treat the associated row ID as the associated table PK for
      linking UI selection
paths:
  /idp/api/v1/user/login:
    post:
      tags:
        - Getting Started
      summary: Login to DataGOL
      description: >-
        ## 1️⃣ Overview


        **Purpose:**  

        Authenticates a user into the DataGOL Platform.


        On success, it returns the user's profile, including their
        administrative roles and assigned permissions within the workspace.


        ---


        ## 2️⃣ Endpoint


        ``` bash

        POST /idp/api/v1/user/login

         ```

        Base URL:


        ```

        https://be.datagol.ai

         ```

        ---


        ## 3️⃣ Request Headers


        | Header | Required |

        | --- | --- |

        | Content-Type: application/json | ✅ Yes |


        ---


        ## 4️⃣ Request Body Schema


        ``` json

        {
          "email": "string",
          "password": "string"
        }

         ```

        ---


        ## 5️⃣ Field Descriptions


        ### Login Fields


        | Field | Type | Description |

        | --- | --- | --- |

        | email | string | The registered email address (e.g.,
        [sample_email@datagol.com](https://mailto:sample_email@datagol.com)). |

        | password | string | The user's account password. |


        ---


        ## 6️⃣ Example Request


        ``` bash

        curl -X POST https://be.datagol.ai/idp/api/v1/user/login \

        -H "Content-Type: application/json" \

        -d '{
          "email": "sample_email@datagol.com",
          "password": "UserPassword123"
        }'

         ```

        ---


        ## 7️⃣ Behavior Summary


        Authenticates a user into the DataGOL Platform and returns the user
        profile with administrative roles and workspace permissions.
      requestBody:
        content:
          application/json:
            schema:
              type: object
              properties:
                email:
                  type: string
                  format: email
                password:
                  type: string
            example:
              email: sample_email@datagol.com
              password: password123
      responses:
        '200':
          description: Login to DataGOL

````