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 importDeath(api, engine):
    print('Importing death...')

    test = False

    tableName = "c__3330_todes_dat_"
    bundleId = 'b487c08016f572b9ecf3f9173339fec3'

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

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

    # Create entities
    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 entity {sqlTable.loc[index, "id"]}')
            continue
        # Create Entity property dicts
        entityValues = {}
        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]
            # Map columns to fields. We use assignments for reification.
            docId = ''
            match key:
                case 'id':
                    docId = value[0]
                case 'f__uuid':
                    entityValues['f8beb0d372a5cf6f1668c47acf7e53cd'] = value # UUID
                    fUuid = value[0]
                case 'f__3330_todes_dat_':
                    entityValues['f385a8c323f0a2f49d8eb175e1535b1b'] = value # Death date
                case 'f__33ls_lit__stelle':
                    entityValues['fb4f168aa6a73169ef0350408a6260cc'] = value # Literature Reference
                case 'f__33lt_lit__kurztitel':
                    entityValues['fd4ed8828d72a575f8609ba2c442b4b2'] = value # Literature short title
                case 'f__33bm_bem_tod':
                    entityValues['f3028661430081ae44aa950abe0afbac'] = value # Note
                case 'f__3350_tod_ort':
                    entityValues['fd80c2c8ba4c64c01e9c46ac7ae00d93'] = value # Place
                case 'f__33qs_quelle_stelle':
                    entityValues['fd98cf7fbc0de4529e2a2d5e0b0c28bf'] = value # Source reference
                case 'f__33qt_quelle_kurztitel':
                    entityValues['f973818e6c3d36ddd44ba3a713e308e6'] = value # Source short title
                case 'f__710t_art_ereignis':
                    entityValues['fc039c43502b3525a92a8330d91f7944'] = value # Event type
                case _:
                    print(f'{key} is not a valid field, skipping.')

        # Create Material
        entity = Entity(api=api, fields=entityValues, bundle_id=bundleId)
        api.save(entity)

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

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

        if test:
            break

    print('finish')