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 importArtistAssignment(api, engine):
    print('Importing artist assignment...')

    tableName = "c__ob30_bez_kuenstler"
    bundleId = 'bc8826cc7d9c9373ce71cfc0251c2a4f'

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

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

    # Create artistRelations
    for index, row in artistRelationsTable.iterrows():
        # For every row in table...
        if index < len(processedRows) and artistRelationsTable.loc[index, 'id'] == processedRows.loc[index, 'id']:
            # skip if already processed
            print(f'Skipping already processed artistAssignment {artistRelationsTable.loc[index, "id"]}')
            continue
        # Create Entity property dicts
        artistRelationValues = {}
        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':
                    docId = value[0]
                case 'f__uuid':
                    artistRelationValues['fc150259d31fea8a3f992e7beb901fa4'] = value # UUID
                case 'f__3100_name':
                    artistRelationValues['ff5bf58133f9351d03e2ee92b6f8bb7e'] = value # Artist Name
                case 'f__3475_ber__funkt_':
                    artistRelationValues['fc0c7d8c6b736489210bc42ef0f1406a'] = value # Occupation
                case 'f__ob30_bez_kuenstler':
                    artistRelationValues['f575d4f2c8ea5d37618cea708c2a7c5e'] = value # Relation
                case _:
                    print(f'{key} is not a valid field, skipping.')


        artistRelation = Entity(api=api, fields=artistRelationValues, bundle_id=bundleId)
        api.save(artistRelation)

        print(f'Created artist assignment {index}: {artistRelation.uri} of {len(artistRelationsTable)}')

        # Write log
        processedRows = processedRows._append({'id': row['id'], 'uuid': artistRelationValues['fc150259d31fea8a3f992e7beb901fa4'][0], 'uri': artistRelation.uri}, ignore_index=True)
        processedRows.to_csv(f'./logs/{tableName}.csv', index=False)

    print('finished importing artist assignment')