scripts/run_app_local_example.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Example setup for running pvnet_app locally"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "\n",
    "# Set paths to input data and DB\n",
    "os.environ[\"SATELLITE_ZARR_PATH\"]=\"PLACEHOLDER\" # e.g. \"s3://nowcasting-sat-development/data/latest/latest.zarr.zip\"\n",
    "os.environ[\"NWP_UKV_ZARR_PATH\"]=\"PLACEHOLDER\"\n",
    "os.environ[\"NWP_ECMWF_ZARR_PATH\"]=\"PLACEHOLDER\"\n",
    "os.environ[\"DB_URL\"]=\"PLACEHOLDER\"\n",
    "\n",
    "# Set any other configuration for the model run\n",
    "os.environ[\"RUN_EXTRA_MODELS\"] = \"False\"\n",
    "os.environ[\"USE_ADJUSTER\"] = \"False\"\n",
    "os.environ[\"SAVE_GSP_SUM\"] = \"False\"\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pvnet_app.app import app"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Run app locally, setting write predictions to False will return an xarray DataArray \n",
    "da = app(gsp_ids=list(range(1, 318)), num_workers=0, write_predictions=False)"
   ]
  }
 ],
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