Full_run_test.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "ea56a351-9591-490e-97d9-9d9b36ca89dc",
   "metadata": {},
   "source": [
    "# Full Run Test using Package"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "963f65b3-3de4-477b-8298-f688c6203896",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Welcome to the Community Connectivity Package!\n",
      "This package facilitates multi-species dispersal models using Ocean Parcels and NEMO hydrodynamic data.\n",
      "It allows you to set up, run, and analyze connectivity data for any marine species and region of your choice.\n",
      "You can use the package in three different ways:\n",
      "A. Interactive: Guided setup of the entire process. Recommended for first-time users.\n",
      "B. Automatic: Run the entire process automatically using initial setup parameters.\n",
      "C. Manual: Access individual functions to create a custom workflow.\n",
      "\n",
      "Please select an option:\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1b29a4b0ec144ea88fbb115d84617d73",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Dropdown(description='Mode:', options=(('Interactive Mode', 'community_connectivity.interactive'), ('Automatic…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6f21217d3d734126a00acce20d0702ca",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Button(description='Submit', style=ButtonStyle())"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "41a61f7892234febba279012b0a76876",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import community_connectivity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "458b0456-930d-4cb9-8677-6cc668f12baf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Starting the interactive workflow...\n",
      "\n",
      "Step 1: Select Hydrodynamic Data\n",
      "This package uses hydrodynamic data from the Copernicus Marine Service.\n",
      "Use the link below to set up a free account to browse and select your hydrodynamic data.\n",
      "To access the data, you will need information such as your username, password, dataset ID number and longitude and latitude ranges of your study area.\n",
      "This package requires the user to provide a species traits dataset with information on the planktonic larval duration and timing of spawning of each species.\n",
      "This data will then be used to select the time range of the simulation and hydrodynamic data.\n",
      "Please see Section X in the User Manual for more information.\n",
      "https://data.marine.copernicus.eu/products\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Found existing parameters. Do you want to reuse them? (yes/no):  yes\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Reusing existing parameters:\n",
      "dataset_id: cmems_mod_nws_phy_anfc_0.027deg-2D_PT1H-m\n",
      "longitude_range: [-7.38, 3.1]\n",
      "latitude_range: [48.92, 52.68]\n",
      "time_range: [datetime.datetime(2023, 11, 1, 0, 0), datetime.datetime(2024, 8, 4, 0, 0)]\n",
      "username: lbachmaier\n",
      "password: Fjppxe37gx4q!\n",
      "output_path: C:\\Users\\lbachmaier\\Documents\\Python Code\\Prelim_models\\CSV_Outputs\\hydro.nc\n",
      "export: False\n",
      "traits: [{'species_name': 'Patella vulgata', 'spawning_start': '01/11/2023', 'spawning_end': '31/01/2024', 'min_PLD': 5, 'max_PLD': 8, 'average_PLD': 6, 'fecundity': 2}, {'species_name': 'Spirobranchus triqueter', 'spawning_start': '01/01/2024', 'spawning_end': '30/03/2024', 'min_PLD': 8, 'max_PLD': 12, 'average_PLD': 10, 'fecundity': 5}, {'species_name': 'Carcinus maenas', 'spawning_start': '01/04/2024', 'spawning_end': '30/06/2024', 'min_PLD': 25, 'max_PLD': 35, 'average_PLD': 30, 'fecundity': 6}]\n",
      "species_traits_path: C:\\Users\\lbachmaier\\Documents\\Python Code\\Prelim_models\\CSV_Outputs\\trait.csv\n",
      "runtime: 277\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Do you want to edit any parameters? (yes/no):  no\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " ... (more hidden) ...\n",
      "INFO - 2024-10-12T15:36:09Z - Dataset version was not specified, the latest one was selected: \"202309\"\n",
      "INFO:Dataset version was not specified, the latest one was selected: \"202309\"\n",
      "INFO - 2024-10-12T15:36:09Z - Dataset part was not specified, the first one was selected: \"default\"\n",
      "INFO:Dataset part was not specified, the first one was selected: \"default\"\n",
      "INFO - 2024-10-12T15:36:13Z - Service was not specified, the default one was selected: \"arco-time-series\"\n",
      "INFO:Service was not specified, the default one was selected: \"arco-time-series\"\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 1 is completed. Run the following in the next cell to continue:\n",
      "workflow_step(2)\n"
     ]
    }
   ],
   "source": [
    "from community_connectivity.interactive import *\n",
    "workflow_step(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "77380a63-6394-446f-b8b7-4244c3896ce7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Starting the interactive workflow...\n",
      "\n",
      "Step 2: Download Species Occurrence Data\n",
      "This package uses species occurrence data to determine species-specific release and settlement areas.\n",
      "You have the option to download species occurrence data from the Global Biodiversity Information System (GBIF) using the species contained in the trait dataset uploaded in Step 1 or to provide your own species occurrence data.\n",
      "Please visit the GBIF website for further information: https://www.gbif.org/ \n",
      "Please see Section X in the User Manual for more information.\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Found existing parameters. Do you want to reuse them? (yes/no):  yes\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Reusing existing parameters:\n",
      "species_traits_path: C:\\Users\\lbachmaier\\Documents\\Python Code\\Prelim_models\\CSV_Outputs\\trait.csv\n",
      "geojson_file_path: C:\\Users\\lbachmaier\\Documents\\Python Code\\Prelim_models\\Python_Scripts\\Functions\\studyarea.geojson\n",
      "save_csv: False\n",
      "csv_file_path: None\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Do you want to edit any parameters? (yes/no):  no\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using pre-existing GeoJSON file: C:\\Users\\lbachmaier\\Documents\\Python Code\\Prelim_models\\Python_Scripts\\Functions\\studyarea.geojson\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1000x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 2 is completed. Run the following in the next cell to continue:\n",
      "workflow_step(3)\n"
     ]
    }
   ],
   "source": [
    "workflow_step(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "9f614eac-5948-45f9-8f21-7b71edf8b6ba",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Starting the interactive workflow...\n",
      "\n",
      "Step 3: Select a larval release and settlement strategy.\n",
      "This package has the option to release larvae from all coastal sites or from known species-specific distributions.\n",
      "Please see Section X in the User Manual for more information.\n",
      "Choose particle release method:\n",
      "a) Release particles from all coastal areas.\n",
      "b) Release particles from species distributions (GBIF data).\n",
      "c) Upload your own species distribution data.\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter your choice (a, b, or c):  b\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Option b selected: Releasing particles from species distributions (GBIF data).\n",
      "Choose particle settlement method:\n",
      "a) Settle at all coastal areas.\n",
      "b) Settle based on species distributions (GBIF data).\n",
      "c) Settle based on your own habitat suitability data.\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter your choice (a, b, or c):  b\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Option b selected: Settling particles based on species distributions (GBIF data).\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Do you want to save the meshgrid data to a CSV file? (yes/no):  no\n",
      "Do you want to save the release grid points to CSV files? (yes/no):  no\n",
      "Do you want to save the settlement grid points to CSV files? (yes/no):  no\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Grid setup complete.\n",
      "Release and settlement grid setup complete.\n",
      "Step 3 is completed. Run the following in the next cell to continue:\n",
      "workflow_step(4)\n"
     ]
    }
   ],
   "source": [
    "workflow_step(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "ef297308-db73-4ef3-9b62-ac3182df2077",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Starting the interactive workflow...\n",
      "\n",
      "Step 4: Create a ParticleSet for your community.\n",
      "This package allows manual configuration of particles released per site, staggered or single release options, release frequency, and horizontal diffusivity.\n",
      "Please see Section X in the User Manual for more information.\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter the total number of particles to release per site (default is 10):  2\n",
      "Enter 'staggered' for staggered release or 'single' for a single release:  staggered\n",
      "Enter the release interval ('hourly', 'daily', 'weekly' or custom in days, e.g., '3' for 3-day interval, default is weekly):  weekly\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Releasing 1 particles per site every 7 days, 0:00:00 for 40 intervals (total particles per site: 40).\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter the constant horizontal diffusivity (kh) in m^2/s (default is 100):  \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 4 is completed. Run the following in the next cell to continue:\n",
      "workflow_step(5)\n"
     ]
    }
   ],
   "source": [
    "workflow_step(4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "a46ba698-e029-41d6-b2f6-5025ce3d78cf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Starting the interactive workflow...\n",
      "\n",
      "Step 5: Execute the simulation.\n",
      "Please see Section X in the User Manual for more information.\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter the output path and file name to save the final simulation output:  C:\\Users\\lbachmaier\\Documents\\Python Code\\Prelim_models\\Raw_Output_Files\\practicefull\n",
      "Enter output frequency in hours:  168\n",
      "Enter time step (dt) in minutes:  10080\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running the simulation...\n",
      "Unexpected exception formatting exception. Falling back to standard exception\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Traceback (most recent call last):\n",
      "  File \"c:\\users\\lbachmaier\\documents\\python code\\prelim_models\\community_connectivity\\cc_venv\\lib\\site-packages\\parcels\\compilation\\codecompiler.py\", line 234, in _create_compile_process_\n",
      "    subprocess.check_call(cmd, stdout=logfile, stderr=logfile)\n",
      "  File \"C:\\Users\\lbachmaier\\AppData\\Local\\Programs\\Python\\Python39\\lib\\subprocess.py\", line 368, in check_call\n",
      "    retcode = call(*popenargs, **kwargs)\n",
      "  File \"C:\\Users\\lbachmaier\\AppData\\Local\\Programs\\Python\\Python39\\lib\\subprocess.py\", line 349, in call\n",
      "    with Popen(*popenargs, **kwargs) as p:\n",
      "  File \"C:\\Users\\lbachmaier\\AppData\\Local\\Programs\\Python\\Python39\\lib\\subprocess.py\", line 947, in __init__\n",
      "    self._execute_child(args, executable, preexec_fn, close_fds,\n",
      "  File \"C:\\Users\\lbachmaier\\AppData\\Local\\Programs\\Python\\Python39\\lib\\subprocess.py\", line 1416, in _execute_child\n",
      "    hp, ht, pid, tid = _winapi.CreateProcess(executable, args,\n",
      "FileNotFoundError: [WinError 2] The system cannot find the file specified\n",
      "\n",
      "During handling of the above exception, another exception occurred:\n",
      "\n",
      "Traceback (most recent call last):\n",
      "  File \"c:\\users\\lbachmaier\\documents\\python code\\prelim_models\\community_connectivity\\cc_venv\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3550, in run_code\n",
      "    exec(code_obj, self.user_global_ns, self.user_ns)\n",
      "  File \"C:\\Users\\lbachmaier\\AppData\\Local\\Temp\\ipykernel_36080\\39829261.py\", line 1, in <module>\n",
      "    workflow_step(5)\n",
      "  File \"C:\\Users\\lbachmaier\\Documents\\Python Code\\Prelim_models\\community_connectivity\\community_connectivity\\interactive.py\", line 2205, in workflow_step\n",
      "  File \"C:\\Users\\lbachmaier\\Documents\\Python Code\\Prelim_models\\community_connectivity\\community_connectivity\\interactive.py\", line 1675, in execute_simulation\n",
      "    kernels,\n",
      "  File \"c:\\users\\lbachmaier\\documents\\python code\\prelim_models\\community_connectivity\\cc_venv\\lib\\site-packages\\parcels\\particleset.py\", line 854, in execute\n",
      "    self.kernel.compile(compiler=GNUCompiler(cppargs=cppargs, incdirs=[path.join(get_package_dir(), 'include'), \".\"]))\n",
      "  File \"c:\\users\\lbachmaier\\documents\\python code\\prelim_models\\community_connectivity\\cc_venv\\lib\\site-packages\\parcels\\kernel.py\", line 420, in compile\n",
      "    compiler.compile(self.src_file, self.lib_file, self.log_file)\n",
      "  File \"c:\\users\\lbachmaier\\documents\\python code\\prelim_models\\community_connectivity\\cc_venv\\lib\\site-packages\\parcels\\compilation\\codecompiler.py\", line 298, in compile\n",
      "    super().compile(src, obj, log)\n",
      "  File \"c:\\users\\lbachmaier\\documents\\python code\\prelim_models\\community_connectivity\\cc_venv\\lib\\site-packages\\parcels\\compilation\\codecompiler.py\", line 270, in compile\n",
      "    self._create_compile_process_(cc, src, log)\n",
      "  File \"c:\\users\\lbachmaier\\documents\\python code\\prelim_models\\community_connectivity\\cc_venv\\lib\\site-packages\\parcels\\compilation\\codecompiler.py\", line 236, in _create_compile_process_\n",
      "    raise RuntimeError(f\"OSError during compilation. Please check if compiler exists: {self._cc}\")\n",
      "RuntimeError: OSError during compilation. Please check if compiler exists: gcc\n",
      "\n",
      "During handling of the above exception, another exception occurred:\n",
      "\n",
      "Traceback (most recent call last):\n",
      "  File \"c:\\users\\lbachmaier\\documents\\python code\\prelim_models\\community_connectivity\\cc_venv\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2144, in showtraceback\n",
      "    stb = self.InteractiveTB.structured_traceback(\n",
      "  File \"c:\\users\\lbachmaier\\documents\\python code\\prelim_models\\community_connectivity\\cc_venv\\lib\\site-packages\\IPython\\core\\ultratb.py\", line 1435, in structured_traceback\n",
      "    return FormattedTB.structured_traceback(\n",
      "  File \"c:\\users\\lbachmaier\\documents\\python code\\prelim_models\\community_connectivity\\cc_venv\\lib\\site-packages\\IPython\\core\\ultratb.py\", line 1326, in structured_traceback\n",
      "    return VerboseTB.structured_traceback(\n",
      "  File \"c:\\users\\lbachmaier\\documents\\python code\\prelim_models\\community_connectivity\\cc_venv\\lib\\site-packages\\IPython\\core\\ultratb.py\", line 1173, in structured_traceback\n",
      "    formatted_exception = self.format_exception_as_a_whole(etype, evalue, etb, number_of_lines_of_context,\n",
      "  File \"c:\\users\\lbachmaier\\documents\\python code\\prelim_models\\community_connectivity\\cc_venv\\lib\\site-packages\\IPython\\core\\ultratb.py\", line 1088, in format_exception_as_a_whole\n",
      "    frames.append(self.format_record(record))\n",
      "  File \"c:\\users\\lbachmaier\\documents\\python code\\prelim_models\\community_connectivity\\cc_venv\\lib\\site-packages\\IPython\\core\\ultratb.py\", line 970, in format_record\n",
      "    frame_info.lines, Colors, self.has_colors, lvals\n",
      "  File \"c:\\users\\lbachmaier\\documents\\python code\\prelim_models\\community_connectivity\\cc_venv\\lib\\site-packages\\IPython\\core\\ultratb.py\", line 792, in lines\n",
      "    return self._sd.lines\n",
      "  File \"c:\\users\\lbachmaier\\documents\\python code\\prelim_models\\community_connectivity\\cc_venv\\lib\\site-packages\\stack_data\\utils.py\", line 145, in cached_property_wrapper\n",
      "    value = obj.__dict__[self.func.__name__] = self.func(obj)\n",
      "  File \"c:\\users\\lbachmaier\\documents\\python code\\prelim_models\\community_connectivity\\cc_venv\\lib\\site-packages\\stack_data\\core.py\", line 734, in lines\n",
      "    pieces = self.included_pieces\n",
      "  File \"c:\\users\\lbachmaier\\documents\\python code\\prelim_models\\community_connectivity\\cc_venv\\lib\\site-packages\\stack_data\\utils.py\", line 145, in cached_property_wrapper\n",
      "    value = obj.__dict__[self.func.__name__] = self.func(obj)\n",
      "  File \"c:\\users\\lbachmaier\\documents\\python code\\prelim_models\\community_connectivity\\cc_venv\\lib\\site-packages\\stack_data\\core.py\", line 681, in included_pieces\n",
      "    pos = scope_pieces.index(self.executing_piece)\n",
      "  File \"c:\\users\\lbachmaier\\documents\\python code\\prelim_models\\community_connectivity\\cc_venv\\lib\\site-packages\\stack_data\\utils.py\", line 145, in cached_property_wrapper\n",
      "    value = obj.__dict__[self.func.__name__] = self.func(obj)\n",
      "  File \"c:\\users\\lbachmaier\\documents\\python code\\prelim_models\\community_connectivity\\cc_venv\\lib\\site-packages\\stack_data\\core.py\", line 660, in executing_piece\n",
      "    return only(\n",
      "  File \"c:\\users\\lbachmaier\\documents\\python code\\prelim_models\\community_connectivity\\cc_venv\\lib\\site-packages\\executing\\executing.py\", line 116, in only\n",
      "    raise NotOneValueFound('Expected one value, found 0')\n",
      "executing.executing.NotOneValueFound: Expected one value, found 0\n"
     ]
    }
   ],
   "source": [
    "workflow_step(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b8930d11-57ac-4ad9-95a1-5751b0de3ddb",
   "metadata": {},
   "outputs": [],
   "source": [
    "workflow_step(6)"
   ]
  }
 ],
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