{
  "cells": [
    {
      "attachments": {},
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "# Get parameters structure #"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": [
        "import os\n",
        "from pycequeau import physiographic\n",
        "from pycequeau.simulations import parameters\n",
        "from pycequeau.simulations._param_examples import send_values_test"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": [
        "project_folder = r\"path/to/your/project/\"\n",
        "# files_list = [\"BurnedDEM.tif\", # DEM tif file\n",
        "files_list = [\"DEM.tif\", # DEM tif file\n",
        "              \"FAC.tif\", #Flow accumulation tif file\n",
        "              \"LCF.tif\", # Land conver tif file\n",
        "              \"Watershed.tif\", # Watershed tif file\n",
        "              \"CAT.tif\" #Sub basins tif file\n",
        "              ]\n",
        "basin_name = \"Margarite\"\n",
        "dimensions = 1500\n",
        "\n",
        "bassinVersant_file = os.path.join(project_folder,\n",
        "                                    \"results\",\n",
        "                                    \"bassinVersant.mat\")\n",
        "# 4- Create basin Object:\n",
        "basin = physiographic.Basin(project_folder,\n",
        "                basin_name,\n",
        "                files_list,\n",
        "                bassinVersant_file)\n",
        "basin.set_dimensions(dimensions, dimensions)\n",
        "# 5- Retrieve the example parameter values to populate the structure\n",
        "flow_parameters, evapo_parameters, initial_conditions, snow_parameters, simulation_options, transferts, temperature_params = send_values_test()\n",
        "\n",
        "hydrology = parameters.HydrologicalParameters.from_values(\n",
        "    basin_structure=basin,\n",
        "    flow_parameters=flow_parameters,\n",
        "    initial_conditions=initial_conditions,\n",
        "    transfer_parameters=transferts,\n",
        "    simulation_options=simulation_options,\n",
        "    snow_parameters=snow_parameters,\n",
        "    evapotranspiration_parameters=evapo_parameters,\n",
        "    meteo_file_name=\"meteo_cequeau.nc\",\n",
        ")\n",
        "\n",
        "water_quality = parameters.WaterQualityParameters.from_values(\n",
        "    basin_structure=basin,\n",
        "    temperature_parameters=temperature_params,\n",
        ")\n",
        "\n",
        "params = parameters.PycequeauParams(\n",
        "    basin,\n",
        "    hydrology=hydrology,\n",
        "    water_quality=water_quality,\n",
        ")\n",
        "params.create_parameter_structure()\n",
        "params.export_parameter_structure_json()\n",
        "params.export_parameter_structure_mat()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": [
        "params.parametres[\"option\"]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": [
        "params.parametres[\"sol\"]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": [
        "params.parametres[\"fonte\"]"
      ]
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "pycequeau",
      "language": "python",
      "name": "python3"
    },
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      "codemirror_mode": {
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      "file_extension": ".py",
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      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
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