from pymongo.mongo_client import MongoClient
from pymongo.server_api import ServerApi
import pandas as pd

class TranslationMongoDBManager:
    
    def __init__(self, uri: str, database: str):
        
        # recuperate the client
        self.client = MongoClient(uri)
        
        # recuperate the database
        self.db = self.client.get_database(database)
        
    def insert_documents(self, documents: list, collection: str = "sentences"):
        
        # insert documents inside a collection
        results = self.db[collection].insert_many(documents)
        
        return results
    
    def insert_document(self, document: dict, collection: str = "sentences"):
        
        assert not '_id' in document
        
        # get the id of the last sentence (recuperate the max id and add 1 to it)
        max_id = self.get_max_id(collection)
        
        # add the new sentences
        document['_id'] = max_id + 1
        
        results = self.db[collection].insert_one(
            document
        )
        
        return results
    
    def update_document(self, id: int, collection: str = "sentences", update_collection: str = "updated"):
        
        # recuperate the document to update
        upd_sent = self.db[collection].find_one(
            {
                '_id': {
                    '$eq': id
                }
            }
        )
        
        # delete the document
        self.db[collection].delete_one(
            {
                '_id': {'$eq': upd_sent['_id']}
            }
        )
        
        # add the sentences to the deleted sentences
        upd_sent['_id'] = len(list(self.db[update_collection].find()))
        
        results = self.db[update_collection].insert_one(
            upd_sent
        )
        
        return results
    
    def delete_document(self, id: int, collection: str = "sentences", del_collection: str = "deleted"):
        
        # recuperate the document to delete
        del_sent = self.db[collection].find_one(
            {
                '_id': {
                    '$eq': id
                }
            }
        )
        
        # delete the sentence
        self.db[collection].delete_one(
            {
                '_id': {'$eq': del_sent['_id']}
            }
        )
        
        # add the sentences to the deleted sentences
        del_sent['_id'] = len(list(self.db[del_collection].find()))
        
        results = self.db[del_collection].insert_one(
            del_sent
        )
        
        return results
    
    def get_max_id(self, collection: str = "sentences"):
        
        # recuperate the maximum id
        id = list(self.db[collection].find().sort('_id', -1).limit(1))[0]['_id']
        
        return id
    
    def save_data_frames(self, sentences_path: str, deleted_path: str, collection: str = "sentences", del_collection: str = "deleted"):
        
        # recuperate the new corpora
        new_corpora = pd.DataFrame(list(self.db[collection].find()))

        # recuperate the deleted sentences as a Data Frame
        deleted_df = pd.DataFrame(list(self.db[del_collection].find()))

        # save the data frames as csv files
        new_corpora.set_index('_id', inplace=True)

        deleted_df.set_index('_id', inplace=True)

        new_corpora.to_csv(sentences_path, index=False)

        deleted_df.to_csv(deleted_path, index=False)
    
    def load_data_frames(self, collection: str = "sentences", del_collection: str = "deleted"):
        
        # recuperate the new corpora
        new_corpora = pd.DataFrame(list(self.db[collection].find()))

        # recuperate the deleted sentences as a Data Frame
        deleted_df = pd.DataFrame(list(self.db[del_collection].find()))
        
        return new_corpora, deleted_df