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 importInspectionMarkToLiteratureReferenceRelation(api, engine):
    print('importing inspection mark to literature reference relation')
    test = False

    tableName = "r__bez__8330_lit_kurzt_"
    bundleId = 'b32fc778865a1ffd5b165515425f38c6' # Inspection Mark to Dating Assignment

    try:
        processedRows = pd.read_csv(f'./logs/{tableName}.csv')
    except FileNotFoundError:
        processedRows = pd.DataFrame(columns=['docId', '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__bez__uuid':
                    entityValues['f8670edfe030f375ca0b8b275a394511'] = value # Date
                    fUuid = value[0]
                case 'f__8330_lit_kurzt___uuid':
                    entityValues['fa52476d733d0d106406864245d613b8'] = value # Literature Reference Assignment
                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 Inspection Mark to Literature Reference 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 inspection mark to literature reference relation')