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 importPhotographer(api, engine):
    print('Importing photographer...')

    tableName = "c__8490_fotograf"
    bundleId = 'b821fb6c518948b7f40d17803b6ce293' # Photographer assignment

    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['f6c3c3e35af2f2073fd517aabf88fa7c'] = value # UUID
                    docUuid = value[0]
                case 'f__8490_fotograf':
                    entityValues['fe8f8b235f896862b74caa0fa8f3682d'] = value # Photographer
                case 'f__8494_aufn_datum':
                    entityValues['f12c7538643314f0f46ba76a5140a87d'] = value # Recording Date
                case 'f__8470_aufnahmenr_':
                    entityValues['ff6ec986fb4cc5a2f34deb7144f2f817'] = value # Recording number
                case 'f__849r_repro_datei': # Image Assignment
                    entityValues['f24a609593559a904a0a0f2e215db584'] = value # Reproduction Number
                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 Photographer {index}: {entity.uri} of {len(sqlTable)}')

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

    print('finished importing photographer')