# Time Stepper (DP\_7)

A time series is a series of data points collected or recorded at regular time intervals. By transforming your data into a time series format, you can easily analyze trends and patterns over time, which can be useful for forecasting future values or making informed decisions. 

The process of transforming data into a time series is simple, you just need to specify the time column and we automatically convert the data into a time series format.

## Sample Request

This request steps the data per 60 entries and replaces existing data in the Y variable.

```javascript
{
    "project_id": 1,
    "parent_id": 6,
    "block_id": 7,
    "function_code": "DP_7",
    "args": {
        "lookback": 60,
        "lookforward": 1,
        "index": 4
    }
}
```

## Time Stepper

## Step data into time series

<mark style="color:green;">`POST`</mark> `https://autogon.ai/api/v1/engine/start`

Step data per entries or replace existing data in the Y variable.

#### Request Body

| Name                                             | Type   | Description                                                                                                                                                          |
| ------------------------------------------------ | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| project\_id<mark style="color:red;">\*</mark>    | int    | current project ID                                                                                                                                                   |
| parent\_id<mark style="color:red;">\*</mark>     | int    | parent block ID                                                                                                                                                      |
| block\_id<mark style="color:red;">\*</mark>      | int    | current block ID                                                                                                                                                     |
| function\_code<mark style="color:red;">\*</mark> | String | block's function code                                                                                                                                                |
| lookback<mark style="color:red;">\*</mark>       | int    | determines how many past time steps the model should consider when making predictions. It influences the length of the input sequence used to predict the next value |
| args                                             | object | block arguments                                                                                                                                                      |
| index<mark style="color:red;">\*</mark>          | int    | column index to apply time stepping function                                                                                                                         |
| lookforward                                      | int    | defines how many future time steps the model should predict ahead. It indicates the distance into the future the model aims to forecast. Defaults to 1               |

{% tabs %}
{% tab title="200: OK Data Encode Successful" %}

```javascript
{
    "status": "true",
    "message": {
        "id": 3,
        "project": 1,
        "block_id": 7,
        "parent_id": 6,
        "dataset_url": "",
        "x_value_url": "",
        "y_value_url": ""
    }
}
```

{% endtab %}
{% endtabs %}

{% tabs %}
{% tab title="Python" %}

```
// Some code
```

{% endtab %}

{% tab title="Node" %}

```
```

{% endtab %}
{% endtabs %}