Smart Charts

This is the official documentation of the forestadmin-agent-django and forestadmin-agent-flask Python agents.

Due to popular demand, Live Query Charts are planned to be reintroduced in a future version of the agent, but we don't have a timeline for it yet.

Live Query Charts ↗ allowed the creation of charts from SQL queries from the UI.

You can find the full documentation of chart customization here.

Steps

Step 1: Retrieve the SQL query from the UI

Live Query Chart configuration screen

You can retrieve the SQL query of a Live query chart by clicking on the Cog icon of the chart when using the Edit Layout mode.

Step 2: Create a new API chart

The next step will be to create a new API chart using the SQL query you retrieved in the previous step.

from forestadmin.datasource_toolkit.context.agent_context import (
    AgentCustomizationContext
)
from forestadmin.datasource_toolkit.decorators.chart.result_builder import (
    ResultBuilder
)

def appointments_chart(
  context: AgentCustomizationContext, result_builder: ResultBuilder
):
    raw_query = """SELECT current.count AS value, previous.count AS previous
      FROM (
        SELECT COUNT(*)
        FROM appointments
        WHERE start_date BETWEEN '2018-01-01' AND '2018-02-01'
      ) as current, (
        SELECT COUNT(*)
        FROM appointments
        WHERE start_date BETWEEN '2017-12-01' AND '2018-01-01'
      ) as previous;"""

    with (
        context.datasource.get_collection("appointments").get_native_driver()
    ) as cursor:
        cursor.execute(raw_query)
        rows = cursor.fetchall()
    return resultBuilder.value(rows[0][0], rows[0][1])

agent.add_chart('appointments', appointments_chart)

Step 3: Retrieve the URL of the generated chart

The url of your newly created api chart is /forest/_charts/$chartName. The $chartName is the name given to the add_chart method. For the previous example the url should be /forest/_charts/appointments

Step 4: Change the old chart configuration

If you are following this guide step by step, you are probably testing your agent on a temporary project.

You may want to postpone this step until you have replaced your old agent with the new one.

Instead of Query, select Smart in the data source selector, and enter the path that was printed to the console in the previous step.