import uuid # For UUID creation
from initDb import initDb # For database initialization
from wisski.api import Api, Pathbuilder, Entity # For WissKI API
import os # For environment variable loading
from dotenv import load_dotenv # For environment variable loading
import pandas as pd # For dataframe handling

def importMaterialsAndTechnique(api, engine):
    print('Importing materials and technique...')

    tableName = 'c__5280_material'
    bundleId = 'b45978f2b073ff3c73b3c7220ebb3b89'

    try:
        processedRows = pd.read_csv(f'./logs/{tableName}.csv')
    except FileNotFoundError:
        processedRows = pd.DataFrame(columns=['id', 'uuid', 'uri'])

    # Load materials table
    sqlTable = pd.read_sql_table(tableName, con=engine)

    # Create materials
    for index, row in sqlTable.iterrows():
        # For every row in table...
        if index < len(processedRows) and sqlTable.loc[index, 'id'] == processedRows.loc[index, 'id']:
            # skip if already processed
            print(f'Skipping already processed material {sqlTable.loc[index, "id"]}')
            continue
        # Create Entity property dicts
        materialValues = {}
        for key, value in row.items():
            # For every column in row...
            if (value is None) or (value == ''):
                #  skip if cell has no value
                continue
            # Properties of an entity have to be an array, so...
            value = str(value).replace('&###{{new_line}}###'.format(), '&')
            value = str(value).replace('###{{new_line}}###', '&')
            value = str(value).replace(' & ', '&')
            if '&' in str(value):
                # ...Explode "&"-separated values to array items
                value = [x.strip() for x in str(value).split('&')]
            else:
                # ...Or parse to array
                value = [value]
            # If value is a list of comma-separated strings, split each item by ',' and flatten.
            if isinstance(value, list):
                new_value = []
                for v in value:
                    if isinstance(v, str) and ',' in v:
                        new_value.extend([x.strip() for x in v.split(',') if x.strip()])
                    else:
                        new_value.append(v)
                value = new_value

            # Map columns to fields. We use assignments for reification.
            match key:
                case 'id':
                    continue
                case 'f__uuid':
                    materialValues['fedfe553c2332bd4902c887813f29ed8'] = value # UUID
                case 'f__5280_material':
                    materialValues['f5f4251312f54c0d104ea87761b94bde'] = value # Material
                case 'f__5300_technik':
                    materialValues['f231e08850022f091ebd5055d8aad30f'] = value # Technique
                case _:
                    print(f'{key} is not a valid field, skipping.')

        # Create Material
        material = Entity(api=api, fields=materialValues, bundle_id=bundleId)
        api.save(material)

        print(f'Created material {index}: {material.uri} of {len(sqlTable)}')

        # Write log
        processedRows = processedRows._append({'id': row['id'], 'uuid': materialValues['fedfe553c2332bd4902c887813f29ed8'][0], 'uri': material.uri}, ignore_index=True)
        processedRows.to_csv(f'./logs/{tableName}.csv', index=False)

    print('finish')