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 importLiteratureToJournalRelation(api, engine):
    print('importing literature to journal relation')
    test = False

    tableName = "r__lit__8310_zeitschrift"
    bundleId = 'b6c2ce0add1e7999f48d66b7ef1a4a26' # Literature to journal relation

    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)

    entityValues = {}

    # 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__lit__uuid':
                    entityValues['fc751b683ba51648f4e7557e37e18228'] = value # Literature UUID
                    fUuid = value[0]
                case 'f__8310_zeitschrift__uuid':
                    entityValues['fae46e3ca92e3a84b36df823fe0323bb'] = value # Journal UUID
                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 Literature to Journal Relation {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:
            exit()
    print('finished importing literature to journal relation')