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 importMarkDatingInfo(api, engine):
    print('Importing mark dating info...')
    tableName = 'c__68dm_datierung_marke'
    bundleId = 'b9cfb95e627e1710cf8d736d4ca5db64'

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

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

    # Create datingInfos
    for index, row in datingInfosTable.iterrows():
        # For every row in table...
        if index < len(processedRows) and datingInfosTable.loc[index, 'id'] == processedRows.loc[index, 'id']:
            # skip if already processed
            print(f'Skipping already processed datingInfo {datingInfosTable.loc[index, "id"]}')
            continue
        # Create Entity property dicts
        datingInfoValues = {}
        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.
            match key:
                case 'id':
                    continue
                case 'f__uuid':
                    datingInfoValues['f74baaf58e49393cc89d6616ee197901'] = value # UUID
                case 'f__68dm_datierung_marke':
                    datingInfoValues['f0da3b36d16e16602bb550aff7d36297'] = value # Date
                case 'f__68bm_bem_dat_marke':
                    datingInfoValues['fe7870b5a86040d81140bccb01697765'] = value # Note

                case _:
                    print(f'{key} is not a valid field, skipping.')

        # Create Material
        datingInfo = Entity(api=api, fields=datingInfoValues, bundle_id='b9cfb95e627e1710cf8d736d4ca5db64') #Dating Information Assignment
        api.save(datingInfo)

        print(f'Created mark dating info {index}: {datingInfo.uri} of {len(datingInfosTable)}')

        # Write log
        processedRows = processedRows._append({'id': row['id'], 'uuid': datingInfoValues['f74baaf58e49393cc89d6616ee197901'][0], 'uri': datingInfo.uri}, ignore_index=True)
        processedRows.to_csv(f'./logs/{tableName}.csv', index=False)

    print('finished importing mark dating info')