Add django command to populate the database with spreadsheet plant data

backend/.gitignore

@@ -1,3 +1,6 @@
 *.pyc
 *.sqlite3
 __pycache__
+
+resources
+right_tree/api/data/fixtures/plants.json

backend/requirements.txt

@@ -2,3 +2,4 @@ Django==3.2.8
 psycopg2-binary>=2.8
 djangorestframework==3.12.4
 django-cors-headers==3.10.0
+openpyxl==3.0.9

backend/right_tree/api/management/commands/_spreadsheet_helpers.py

@@ -0,0 +1,41 @@
+from openpyxl import load_workbook
+
+def get_pk_mapping(object, mapping_key="name"):
+    pk_mapping = {}
+    for instance in object.objects.all():
+        pk_mapping[getattr(instance, mapping_key)] = instance.pk
+
+    return pk_mapping
+
+
+def get_col_mappings(sheet, start_col, row_index):
+    col_mappings = {}
+    for row in sheet.iter_rows(min_col=start_col, min_row=row_index, max_row=row_index, values_only=True):
+        for i, col_name in enumerate(row):
+            col_mappings[col_name] = i
+
+    return col_mappings
+
+
+def get_pk_list_from_str(values_str, pk_mapping, fixes={}):
+    pk_list = []
+    for value in values_str.split(','):
+        processed_value = value.lstrip().rstrip().replace(
+            '_', ' ').replace('-', ' ').replace('’', '\'')
+
+        # Applies any mapping adjustments between spreadsheet data and the database values
+        if fixes and processed_value in fixes:
+            processed_value = fixes[processed_value]
+
+        # Adds the pk value for the value in the databse
+        if processed_value in pk_mapping:
+            pk_list.append(pk_mapping[processed_value])
+
+    return pk_list
+
+
+def get_spreadsheet(data_path, spreadsheet_filename):
+    spreadsheet_path = data_path / 'resources' / spreadsheet_filename
+    workbook = load_workbook(filename=spreadsheet_path)
+    return workbook.active
+

backend/right_tree/api/management/commands/createplantfixtures.py

@@ -0,0 +1,165 @@
+from django.core.management.base import BaseCommand
+
+import json
+from pathlib import Path
+
+import right_tree.api.data
+from ._spreadsheet_helpers import *
+from right_tree.api.models import EcologicalRegion, SoilOrder, SoilVariant, ToleranceLevel
+
+
+ECO_REGION_ADJUSTMENTS = {
+    "Whakatane": "Whatkatane",
+    "North West Nelson": "North-west Nelson",
+    "Aorangi": "Aorrangi",
+    "Mackenzie": "MacKenzie",
+    "Southland Hills": "Southland Foothills",
+    "Sounds Wellington": "Sounds-Wellington"
+}
+
+PLANT_COLS = {
+    'name': {"expected_type": str, "max_length": 50},
+    'maxheight': {"expected_type": float},
+    'spacing': {"expected_type": float},
+    'commonname': {"expected_type": str, "null_allowed": True, "max_length": 50},
+    'synonym': {"expected_type": str, "null_allowed": True, "max_length": 200},
+    'region': {"expected_type": list, "model_name": "ecological_regions"},
+    'soilorder': {"expected_type": list, "model_name": "soil_order"},
+    'wet': {"expected_type": list, "model_name": "soil_variants"},
+    'mesic': {"expected_type": list, "model_name": "soil_variants"},
+    'dry': {"expected_type": list, "model_name": "soil_variants"},
+    'water': {"expected_type": int, "model_name": "water_tolerance"},
+    'drought': {"expected_type": int, "model_name": "drought_tolerance"},
+    'frost': {"expected_type": int, "model_name": "frost_tolerance"},
+    'salinity': {"expected_type": int, "model_name": "salinity_tolerance"},
+    'purpose': {"expected_type": str, "null_allowed": True},
+    'stage': {"expected_type": int},
+    'growthform': {"expected_type": str, "model_name": "growth_form", "null_allowed": True, "max_length": 50}
+}
+
+SPREADSHEET_FILENAME = 'plant_data.xlsx'
+DATA_START_COL = 3
+DATA_START_ROW = 7
+INFO_HEADER_ROW = 6
+
+DATA_DIR_PATH = Path(right_tree.api.data.__file__).resolve().parent
+
+ECO_REGION_PK_MAPPING = get_pk_mapping(EcologicalRegion)
+SOIL_ORDER_PK_MAPPING = get_pk_mapping(SoilOrder)
+SOIL_VARIANT_PK_MAPPING = get_pk_mapping(SoilVariant)
+TOLERANCE_PK_MAPPING = get_pk_mapping(ToleranceLevel, "level")
+
+SPREADSHEET = get_spreadsheet(DATA_DIR_PATH, SPREADSHEET_FILENAME)
+INFO_COL_INDEXES = get_col_mappings(
+    SPREADSHEET, DATA_START_COL, INFO_HEADER_ROW)
+
+PLANT_JSON_TEMPLATE = {
+    "model": "api.plant",
+    "pk": None,
+    "fields": {}
+}
+
+
+def check_field_type(field, field_value):
+    expected_field_type = PLANT_COLS[field]['expected_type']
+    model_field_name = PLANT_COLS[field].get('model_name', field)
+    null_allowed = PLANT_COLS[field].get('null_allowed', False)
+    max_length = PLANT_COLS[field].get('max_length', False)
+
+    is_valid_type = isinstance(field_value, expected_field_type)
+    is_int_when_float = expected_field_type == float and isinstance(
+        field_value, int)
+    is_valid_null = field_value is None and null_allowed
+    is_over_max_length = max_length and isinstance(
+        field_value, str) and len(field_value) > max_length
+
+    if not(is_valid_type or is_int_when_float or is_valid_null):
+        raise TypeError(
+            f"Invalid json type for field {model_field_name} with value {field_value}. Expected '{expected_field_type}' but got '{type(field_value)}'.")
+    elif is_over_max_length:
+        raise TypeError(
+            f"Invalid string length for {model_field_name} with value {field_value}. Expected length to be under {max_length} but was {len(field_value)}.")
+
+
+def get_plant_json_from_row(row_data):
+    plant_json_fields = {}
+    for field, field_index in INFO_COL_INDEXES.items():
+        if field not in PLANT_COLS:
+            continue
+
+        model_field_name = PLANT_COLS[field].get('model_name', field)
+        try:
+            if field == "region":
+                regions_list = get_pk_list_from_str(
+                    row_data[field_index], ECO_REGION_PK_MAPPING, ECO_REGION_ADJUSTMENTS)
+                plant_json_fields[model_field_name] = regions_list
+
+            elif field == "soilorder":
+                soil_orders_list = get_pk_list_from_str(
+                    row_data[field_index], SOIL_ORDER_PK_MAPPING)
+                plant_json_fields[model_field_name] = soil_orders_list
+
+            elif field in {'wet', 'mesic', 'dry'}:
+                soil_variant_pk = SOIL_VARIANT_PK_MAPPING[field.capitalize()]
+                plant_json_fields[model_field_name] = plant_json_fields.get(
+                    model_field_name, []) + [soil_variant_pk]
+
+            elif field in {'water', 'drought', 'frost', 'salinity'}:
+                plant_json_fields[model_field_name] = TOLERANCE_PK_MAPPING[row_data[field_index]]
+
+            elif field in PLANT_COLS:
+                plant_json_fields[model_field_name] = row_data[field_index]
+
+            check_field_type(field, plant_json_fields[model_field_name])
+
+        except Exception as e:
+            name_index = INFO_COL_INDEXES['name']
+            print(
+                f"Error occured while adding the row for {row_data[name_index]}.")
+            print(F"{type(e)}: {e}")
+            print("SKIPPING ROW...")
+            print("----------------------------------------------")
+
+            return {}
+
+    plant_json = PLANT_JSON_TEMPLATE.copy()
+    plant_json["fields"] = plant_json_fields
+
+    return plant_json
+
+
+def get_plant_json_fixture(sheet):
+    plant_json_fixture = []
+    skipped_count = 0
+    created_count = 0
+
+    for row in sheet.iter_rows(min_col=DATA_START_COL, min_row=DATA_START_ROW, values_only=True):
+        plant_json = get_plant_json_from_row(row)
+
+        # If there is invalid data in a row, it will be skipped
+        if plant_json != {}:
+            plant_json_fixture.append(plant_json)
+            created_count += 1
+        else:
+            skipped_count += 1
+
+    print("Created plants fixture.")
+    print(f"Rows Created: {created_count}")
+    print(f"Rows Skipped: {skipped_count}")
+    return plant_json_fixture
+
+
+def save_plant_fixture(fixture):
+    fixture_filepath = DATA_DIR_PATH / 'fixtures' / 'plants.json'
+    fixture_filepath.write_text(json.dumps(fixture))
+
+
+class Command(BaseCommand):
+    help = 'Ingests the plant spreadsheet data into the database'
+
+    def handle(self, *args, **options):
+        self.stdout.write('Creating plant fixtures...')
+        plant_fixture = get_plant_json_fixture(SPREADSHEET)
+        save_plant_fixture(plant_fixture)
+        self.stdout.write(self.style.SUCCESS(
+            'Plant fixtures created and saved successfully.'))

backend/right_tree/api/management/commands/resetplants.py

@@ -0,0 +1,11 @@
+from django.core.management.base import BaseCommand
+from right_tree.api.models import Plant
+
+
+class Command(BaseCommand):
+    help = 'Removes all plant objects from the database'
+
+    def handle(self, *args, **options):
+        self.stdout.write(self.style.WARNING(
+            'Removing all plant objects from the database.'))
+        Plant.objects.all().delete()