BenoitDoyon

locals {
  forecast_function_name             = substr("${local.resource_name_prefix}-af-fcast-${local.uniqueString}", 0, 255)
  forecast_storage_account_name      = substr("${local.resource_name_prefix_nodash}0fcast0${local.uniqueString}", 0, 23)
  forecast_application_insights_name = substr("${local.resource_name_prefix}-ai-fcast-${local.uniqueString}", 0, 255)
  forecast_service_plan_name         = substr("${local.resource_name_prefix}-asp-fcast-${local.uniqueString}", 0, 255)
  forecast_container_registry_name   = substr("${local.resource_name_prefix_nodash}0cr0fcast0${local.uniqueString}", 0, 23)
}

resource "azurerm_resource_group" "forecast_resource_group" {
  name     = "${local.resource_group_name_prefix}-forecast"

BenoitDoyon

docker build --tag forecast/function:latest .
docker run -p 8080:80 -it forecast/function:latest

BenoitDoyon

FROM mcr.microsoft.com/azure-functions/python:2.0

ENV AzureWebJobsScriptRoot=/home/site/wwwroot \
    AzureFunctionsJobHost__Logging__Console__IsEnabled=true

RUN apt-get -y update  && apt-get install -y \
  build-essential \
  apt-utils

RUN pip install --upgrade setuptools

BenoitDoyon

def main(req: func.HttpRequest) -> func.HttpResponse:
    req_body = req.get_json()
    df = pd.DataFrame(req_body["data"])

    prophet = Prophet(seasonality_mode='multiplicative')
    prophet.fit(df)

    periods = 2
    future = prophet.make_future_dataframe(periods=periods, freq='M')
    forecast = prophet.predict(future)

BenoitDoyon

df = pd.DataFrame(input)

prophet = Prophet()
prophet.fit(df)

future = prophet.make_future_dataframe(periods=2, freq='M')
return prophet.predict(future)