예제 #1
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 def __init__(self):
     self._DB = DB()
     self._connection = self._DB.getConnection()
     self._cursor = None
     self._wayToSave = 'C:\\Programming\\api-sieg\\backend\\exportData\\companies.json'
     self._data = []
     self._columns = []
     self._dataExport = {}
예제 #2
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    def __init__(self):
        self._DB = DB()
        self._connection = self._DB.getConnection()
        self._wayToSave = os.path.join(wayDefaultToSave, 'empresas.json')
        self._columns = []

        self._connectionMongo = ConnectMongo()
        self._dbMongo = self._connectionMongo.getConnetion()
        self._collection = self._dbMongo['ExtractCompanies']
예제 #3
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    def __init__(self):
        self._DB = DB()
        self._connection = self._DB.getConnection()
        self._cursor = None
        self._columns = []

        self._connectionMongo = ConnectMongo()
        self._dbMongo = self._connectionMongo.getConnetion()
        self._collection = self._dbMongo['ExtractCompanies']
예제 #4
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class extractEfentradaspar():
    def __init__(self):
        self._DB = DB()
        self._connection = self._DB.getConnection()
        self._cursor = None
        self._wayCompanies = os.path.join(wayDefaultToSave, 'empresas.json')

    def exportData(self,
                   filterCompanie=0,
                   filterMonthStart=1,
                   filterYearStart=2013):
        with open(self._wayCompanies) as companies:
            data = json.load(companies)
            try:
                for companie in data:
                    self._wayToSave = os.path.join(wayDefaultToSave)
                    if os.path.exists(self._wayToSave) is False:
                        os.makedirs(self._wayToSave)
                    self._wayToSave = os.path.join(
                        self._wayToSave,
                        f"entradas_parcelas/{companie['codi_emp']}-efentradaspar.json"
                    )

                    # only companies actives
                    if companie[
                            'codi_emp'] == filterCompanie or filterCompanie == 0:
                        print(
                            f"- Exportando parcelas das NFs de entrada da empresa {companie['codi_emp']} - {companie['nome_emp']}"
                        )
                        self._cursor = self._connection.cursor()
                        sql = (
                            f"SELECT par.codi_emp, par.codi_ent, par.parc_entp, ent.nume_ent, forn.codi_for, ent.ddoc_ent, ent.dent_ent, par.vcto_entp, par.vlor_entp "
                            f"  FROM bethadba.efentradaspar AS par "
                            f"       INNER JOIN bethadba.efentradas AS ent "
                            f"            ON    ent.codi_emp = par.codi_emp "
                            f"              AND ent.codi_ent = par.codi_ent "
                            f"       INNER JOIN bethadba.effornece AS forn "
                            f"            ON    forn.codi_emp = ent.codi_emp "
                            f"              AND forn.codi_for = ent.codi_for "
                            f" WHERE ent.codi_emp = {companie['codi_emp']}"
                            f"   AND year(ent.dent_ent) >= {filterYearStart}"
                            f"   AND month(ent.dent_ent) >= {filterMonthStart}"
                            f"ORDER BY par.codi_emp, ent.dent_ent DESC, par.parc_entp"
                        )
                        self._cursor.execute(sql)

                        df = pd.read_sql_query(sql, self._connection)

                        df.to_json(self._wayToSave,
                                   orient='records',
                                   date_format='iso')
            except Exception as e:
                print(f"Erro ao executar a consulta. O erro é: {e}")
            finally:
                if self._cursor is not None:
                    self._cursor.close()
                self._DB.closeConnection()
예제 #5
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class extractGeempre():
    def __init__(self):
        self._DB = DB()
        self._connection = self._DB.getConnection()
        self._cursor = None
        self._columns = []

        self._connectionMongo = ConnectMongo()
        self._dbMongo = self._connectionMongo.getConnetion()
        self._collection = self._dbMongo[
            'ExtractCompanies']  # vai adicionar na tabela de empresas os dados

    def getCompanies(self):
        try:
            self._cursor = self._connection.cursor()
            sql = "SELECT codi_emp, nome_emp FROM bethadba.geempre ORDER BY codi_emp"
            self._cursor.execute(sql)

            df = pd.read_sql_query(sql, self._connection)

            data = json.loads(df.to_json(orient='records', date_format='iso'))

            return data

        except Exception as e:
            print(f"Erro ao executar a consulta. O erro é: {e}")
        finally:
            if self._cursor is not None:
                self._cursor.close()

    def exportData(self):
        try:
            companies = self.getCompanies()

            print('- Exportando dados de movimentação geral empresas:')
            for companie in companies:
                self._cursor = self._connection.cursor()
                sql = readSql(os.path.dirname(os.path.abspath(__file__)),
                              'geempremovements.sql', companie['codi_emp'])
                self._cursor.execute(sql)

                df = pd.read_sql_query(sql, self._connection)

                data = json.loads(
                    df.to_json(orient='records', date_format='iso'))[0]
                self._collection.update_one({"codi_emp": data['codi_emp']},
                                            {"$set": data},
                                            upsert=True)
                print(f"\t -{companie['codi_emp']} - {companie['nome_emp']}")

        except Exception as e:
            print(f"Erro ao executar a consulta. O erro é: {e}")
        finally:
            if self._cursor is not None:
                self._cursor.close()
            self._DB.closeConnection()
            self._connectionMongo.closeConnection()
예제 #6
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    def __init__(self):
        self._DB = DB()
        self._connection = self._DB.getConnection()
        self._cursor = None
        self._columns = []

        self._connectionMongo = ConnectMongo()
        self._dbMongo = self._connectionMongo.getConnetion()
        self._collection = self._dbMongo[
            'ExtractCompanies']  # vai adicionar na tabela de empresas os dados
예제 #7
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    def __init__(self):
        self._DB = DB()
        self._connection = self._DB.getConnection()
        self._cursor = None
        self._columns = []

        self._hourProcessing = datetime.now()
        self._connectionMongo = ConnectMongo()
        self._dbMongo = self._connectionMongo.getConnetion()
        self._collection = self._dbMongo[
            'ExtractConnectionsDominioActiveTotal']
예제 #8
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    def __init__(self):
        self._DB = DB()
        self._connection = self._DB.getConnection()
        self._cursor = None
        self._today = datetime.date.today()
        self._currentMonth = self._today.month
        self._currentYear = self._today.year

        self._connectionMongo = ConnectMongo()
        self._dbMongo = self._connectionMongo.getConnetion()
        self._collection = self._dbMongo['ExtractLancContabeis']
예제 #9
0
 def __init__(self):
     self._DB = DB()
     self._connection = self._DB.getConnection()
     self._cursor = None
     self._wayCompanies = os.path.join(wayDefaultToSave, 'empresas.json')
     self._dataCompanies = readJson(self._wayCompanies)
     self._baseWayToSave = os.path.join(wayDefaultToSave, 'entradas')
     if os.path.exists(self._baseWayToSave) is False:
         os.makedirs(self._baseWayToSave)
     self._today = datetime.date.today()
     self._currentMonth = self._today.month
     self._currentYear = self._today.year
예제 #10
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    def __init__(self):
        self._DB = DB()
        self._connection = self._DB.getConnection()
        self._cursor = None
        # self._baseWayToSave = os.path.join(wayDefault['wayDefaultToSaveFiles'], 'entradas_produtos')
        # if os.path.exists(self._baseWayToSave) is False:
        #     os.makedirs(self._baseWayToSave)
        self._today = datetime.date.today()
        self._currentMonth = self._today.month
        self._currentYear = self._today.year

        self._connectionMongo = ConnectMongo()
        self._dbMongo = self._connectionMongo.getConnetion()
        self._collection = self._dbMongo['ExtractEntryNoteProducts']
예제 #11
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class extractCtlancto():
    def __init__(self):
        self._DB = DB()
        self._connection = self._DB.getConnection()
        self._cursor = None
        self._today = datetime.date.today()
        self._currentMonth = self._today.month
        self._currentYear = self._today.year
        self._geempre = ExtractGeempre()

        self._connectionMongo = ConnectMongo()
        self._dbMongo = self._connectionMongo.getConnetion()
        self._collection = self._dbMongo['ExtractContasContabeis']

    def exportData(self, filterCompanie=0):

        try:
            companies = self._geempre.getCompanies()

            for companie in companies:
                codi_emp = companie['codi_emp']

                if filterCompanie != 0 and filterCompanie != codi_emp:
                    continue  # ignora as empresas que não estão no filtro

                print(
                    f"- Exportando as contas contábeis da empresa {codi_emp} - {companie['nome_emp']}"
                )

                self._collection.delete_many({'codi_emp': codi_emp})

                self._cursor = self._connection.cursor()
                sql = readSql(os.path.dirname(os.path.abspath(__file__)),
                              'ctcontas.sql', codi_emp)
                self._cursor.execute(sql)

                df = pd.read_sql_query(sql, self._connection)

                data = json.loads(
                    df.to_json(orient='records', date_format='iso'))
                if len(data) > 0:
                    self._collection.insert_many(data)

        except Exception as e:
            print(f"Erro ao executar a consulta. O erro é: {e}")
        finally:
            if self._cursor is not None:
                self._cursor.close()
            self._DB.closeConnection()
            self._connectionMongo.closeConnection()
예제 #12
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class extractGeempre():
    def __init__(self):
        self._DB = DB()
        self._connection = self._DB.getConnection()
        self._cursor = None
        self._wayToSave = 'C:\\Programming\\api-sieg\\backend\\exportData\\companies.json'
        self._data = []
        self._columns = []
        self._dataExport = {}

    def exportaDados(self):
        try:
            self._cursor = self._connection.cursor()
            sql = (
                f"SELECT codi_emp, nome_emp, cgce_emp, stat_emp, tins_emp, dina_emp "
                f"FROM bethadba.geempre "
                f"WHERE /*codi_emp IN (1,1403,1444) "
                f"  AND ( dina_emp >= YMD(year(today()), month(today())-5, 1) OR ( stat_emp NOT IN ('I') ) )"
                f"  AND*/ tins_emp IN (1,2)"
                f"  AND cgce_emp IS NOT NULL"
                f"  AND TRIM( COALESCE(cgce_emp, '')) <> '' "
                f"ORDER BY codi_emp")
            self._cursor.execute(sql)

            row = self._cursor.fetchone()
            for t in row.cursor_description:
                self._columns.append(t[0])

            df = pd.read_sql_query(sql, self._connection)

            for column in self._columns:
                if df[column].dtype == 'int64':
                    df[column] = df[column].astype('int64')
                elif df[column].dtype == 'float64':
                    df[column] = df[column].astype('float64')
                else:
                    df[column] = df[column].astype(str).str.replace(
                        '\\r\\n', '')
                    df[column] = df[column].replace('\\n', '').replace(
                        '\\r', '').replace('\\t', '')

            df.to_json(self._wayToSave, orient='records')
        except Exception as e:
            print(f"Erro ao executar a consulta. O erro é: {e}")
        finally:
            if self._cursor is not None:
                self._cursor.close()
            self._DB.closeConnection()
예제 #13
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class ExtractGeempre():
    def __init__(self):
        self._DB = DB()
        self._connection = self._DB.getConnection()
        self._wayToSave = os.path.join(wayDefaultToSave, 'empresas.json')
        self._columns = []

        self._connectionMongo = ConnectMongo()
        self._dbMongo = self._connectionMongo.getConnetion()
        self._collection = self._dbMongo['ExtractCompanies']

    def getCompanies(self):
        try:
            sql = "SELECT codi_emp, nome_emp FROM bethadba.geempre ORDER BY codi_emp"
            df = pd.read_sql_query(sql, self._connection)
            data = json.loads(df.to_json(orient='records', date_format='iso'))

            return data

        except Exception as e:
            print(f"Erro ao executar a consulta. O erro é: {e}")
        finally:
            self._DB.closeConnection()

    def exportData(self):
        try:
            sql = readSql(os.path.dirname(os.path.abspath(__file__)),
                          'geempre.sql')
            df = pd.read_sql_query(sql, self._connection)
            data = json.loads(df.to_json(orient='records', date_format='iso'))

            print('- Exportando empresas:')
            for companie in data:
                self._collection.update_one({"codi_emp": companie['codi_emp']},
                                            {"$set": companie},
                                            upsert=True)
                print(f"\t-{companie['codi_emp']} - {companie['razao_emp']}")

            df.to_json(self._wayToSave, orient='records', date_format='iso')
        except Exception as e:
            print(f"Erro ao executar a consulta. O erro é: {e}")
        finally:
            self._DB.closeConnection()
            self._connectionMongo.closeConnection()
예제 #14
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class TitulosDao:

    def __init__(self):
        self._DB = DB()
        self._connection = self._DB.getConnection()
        self._cursor = None

    def consultaPagamentoTitulo(self, codi_emp, i_faturamento_e_parcela):
        try:
            self._cursor = self._connection.cursor()
            self._cursor.execute("SELECT SUM(COALESCE(rec.valor_recebido, 0)) AS valor_recebido,"
                                f"       MAX(rec.data_recebimento) as data_recebimento, "
                                f"       SUM( COALESCE(par.valor_original, 0) - COALESCE(par.valor_desconto, 0) - COALESCE(par.valor_desconto_adimplente, 0) ) AS valor_parcela, "
                                f"       MAX(CASE WHEN par.vencimento <> par.vencimento_original THEN 'alterado' ELSE 'nao_alterado' END) AS alterado_venc, "
                                f"       MAX(CASE WHEN rec.valor_refaturado > 0 OR rec.valor_reparcelado > 0 THEN 'renegociado' ELSE 'nao_renegociado' END) AS renegociado "
                                f"  FROM bethadba.hrrecebimento AS rec "
                                f"       INNER JOIN bethadba.hrfaturamento_parcela AS par"
                                f"            ON    par.codi_emp = rec.codi_emp "
                                f"              AND par.i_faturamento = rec.i_faturamento "
                                f"              AND par.i_parcela = rec.i_parcela "
                                f"       LEFT OUTER JOIN bethadba.hrrenegociacao_faturamento AS renfat "
                                f"                 ON    renfat.codi_emp = par.codi_emp "
                                f"                   AND renfat.i_faturamento_destino = par.i_faturamento "
                                f"                   AND renfat.i_parcela_destino = par.i_parcela "
                                f"       LEFT OUTER JOIN bethadba.hrrenegociacao AS ren "
                                f"                 ON    ren.codi_emp = renfat.codi_emp "
                                f"                   AND ren.i_renegociacao = renfat.i_renegociacao "
                                f"       LEFT OUTER JOIN bethadba.hrfaturamento_parcela AS par_ant "
                                f"                 ON    par_ant.codi_emp = renfat.codi_emp "
                                f"                   AND par_ant.i_faturamento = renfat.i_faturamento_origem "
                                f"                   AND par_ant.i_parcela = renfat.i_parcela_origem "
                                f" WHERE rec.codi_emp = {codi_emp}"
                                f"   AND CASE WHEN ren.i_renegociacao IS NOT NULL THEN STRING(renfat.i_faturamento_origem) || STRING(renfat.i_parcela_origem) "
                                f"            ELSE STRING(par.i_faturamento) || STRING(par.i_parcela) "
                                f"       END = {i_faturamento_e_parcela}")
            self._data = self._cursor.fetchall()
            return self._data
        except Exception as e:
            print(f"Erro ao executar a consulta. O erro é: {e}")
        finally:
            if self._cursor is not None:
                self._cursor.close()
            self._DB.closeConnection()
예제 #15
0
class extractGeConexoesAtivas():
    def __init__(self):
        self._DB = DB()
        self._connection = self._DB.getConnection()
        self._cursor = None
        self._columns = []

        self._hourProcessing = datetime.now()
        self._connectionMongo = ConnectMongo()
        self._dbMongo = self._connectionMongo.getConnetion()
        self._collection = self._dbMongo[
            'ExtractConnectionsDominioActiveTotal']

    def exportData(self):
        try:
            self._cursor = self._connection.cursor()
            # sql = ("SELECT * FROM bethadba.geconexoesativas ORDER BY usuario")
            sql = ("SELECT count(usuarios.usuario) AS qtd"
                   "  FROM ( SELECT DISTINCT usuario, estacao"
                   " FROM bethadba.geconexoesativas ) AS usuarios")
            self._cursor.execute(sql)

            df = pd.read_sql_query(sql, self._connection)

            data = json.loads(df.to_json(orient='records', date_format='iso'))
            for connectionActive in data:
                connectionActive['hourProcess'] = self._hourProcessing
                self._collection.insert_one(connectionActive)

            print(f'Dados exportados - {self._hourProcessing}')

        except Exception as e:
            print(f"Erro ao executar a consulta. O erro é: {e}")
        finally:
            if self._cursor is not None:
                self._cursor.close()
            self._DB.closeConnection()
            self._connectionMongo.closeConnection()
예제 #16
0
class extractEffornece():
    def __init__(self):
        self._DB = DB()
        self._connection = self._DB.getConnection()
        self._cursor = None
        self._wayCompanies = os.path.join(wayDefaultToSave, 'empresas.json') 

    def exportData(self, filterCompanie=0):
        with open(self._wayCompanies) as companies:
            data = json.load(companies)
            try:
                for companie in data:
                    self._wayToSave = os.path.join(wayDefaultToSave, 'fornecedores')
                    if os.path.exists(self._wayToSave) is False:
                        os.makedirs(self._wayToSave)
                    self._wayToSave = os.path.join(self._wayToSave, f"{companie['codi_emp']}-effornece.json")
                    
                    # only companies actives
                    if companie['codi_emp'] == filterCompanie or filterCompanie == 0:
                        print(f"- Exportando fornecedores da empresa {companie['codi_emp']} - {companie['nome_emp']}")
                        self._cursor = self._connection.cursor()
                        sql = ( f"SELECT forn.codi_for, forn.nome_for, forn.nomr_for, forn.cgce_for, forn.codi_cta, forn.insc_for, forn.imun_for, "
                                f"       forn.codigo_municipio, forn.sigl_est, forn.conta_cliente_for, forn.conta_compensacao_for "
                                f"  FROM bethadba.effornece AS forn "
                                f" WHERE forn.codi_emp = {companie['codi_emp']}"
                                f"ORDER BY forn.codi_emp, forn.codi_for")
                        self._cursor.execute(sql)

                        df = pd.read_sql_query(sql, self._connection)

                        df.to_json(self._wayToSave, orient='records', date_format='iso' ) 
            except Exception as e:
                print(f"Erro ao executar a consulta. O erro é: {e}")
            finally:
                if self._cursor is not None:
                    self._cursor.close()
                self._DB.closeConnection()
예제 #17
0
class extractCtlancto():
    def __init__(self):
        self._DB = DB()
        self._connection = self._DB.getConnection()
        self._cursor = None
        self._today = datetime.date.today()
        self._currentMonth = self._today.month
        self._currentYear = self._today.year

        self._connectionMongo = ConnectMongo()
        self._dbMongo = self._connectionMongo.getConnetion()
        self._collection = self._dbMongo['ExtractLancContabeis']

    def getCompanies(self):
        try:
            self._cursor = self._connection.cursor()
            sql = "SELECT codi_emp, nome_emp FROM bethadba.geempre WHERE stat_emp = 'A' ORDER BY codi_emp"
            self._cursor.execute(sql)

            df = pd.read_sql_query(sql, self._connection)

            data = json.loads(df.to_json(orient='records', date_format='iso'))

            return data

        except Exception as e:
            print(f"Erro ao executar a consulta. O erro é: {e}")
        finally:
            if self._cursor is not None:
                self._cursor.close()

    def exportData(self, filterCompanie=0, filterMonthStart=5, filterYearStart=2015, filterMonthEnd=0, filterYearEnd=0):
        filterMonthEnd = self._currentMonth if filterMonthEnd == 0 else filterMonthEnd
        filterYearEnd = self._currentYear if filterYearEnd == 0 else filterYearEnd

        try:
            companies = self.getCompanies()

            for companie in companies:
                codi_emp = companie['codi_emp']

                if filterCompanie != 0 and filterCompanie != codi_emp:
                    continue # ignora as empresas que não estão no filtro

                print(f"- Exportando os lançamentos contábeis da empresa {codi_emp} - {companie['nome_emp']}")
                
                competenceStartEnd = extractFunctions.returnCompetenceStartEnd(companie, filterMonthStart, filterYearStart, filterMonthEnd, filterYearEnd)
                startMonth = competenceStartEnd['filterMonthStart']
                startYear = competenceStartEnd['filterYearStart']
                endMonth = competenceStartEnd['filterMonthEnd']
                endYear = competenceStartEnd['filterYearEnd']

                year = startYear

                while year <= endYear:

                    months = extractFunctions.returnMonthsOfYear(year, startMonth, startYear, endMonth, endYear)

                    print('\t - ', end='')
                    for month in months:
                        print(f'{month:0>2}/{year}, ', end='')

                        # tem que deletar os dados mensais, pois não dá pra atualizar as informações, visto que o codi_ent que seria
                        # o item a ser atualizado pode mudar na domínio. Antes uma nota que era 100 pode ser excluída, e a 100 ser 
                        # outra nota totalmente diferente
                        self._collection.delete_many( {"$and": [{'codi_emp': companie['codi_emp']}, {'monthFilter': month}, {'yearFilter': year}] } )

                        self._cursor = self._connection.cursor()
                        sql = readSql(os.path.dirname(os.path.abspath(__file__)), 'ctlancto.sql', year, month, companie['codi_emp'], year, month)
                        self._cursor.execute(sql)

                        df = pd.read_sql_query(sql, self._connection)
                        
                        data = json.loads(df.to_json(orient='records', date_format='iso'))
                        if len(data) > 0:
                            self._collection.insert_many( data )

                    print('')
                    year += 1
                        
        except Exception as e:
            print(f"Erro ao executar a consulta. O erro é: {e}")
        finally:
            if self._cursor is not None:
                self._cursor.close()
            self._DB.closeConnection()
            self._connectionMongo.closeConnection()
예제 #18
0
 def __init__(self):
     self._DB = DB()
     self._connection = self._DB.getConnection()
     self._cursor = None
     self._wayCompanies = os.path.join(wayDefaultToSave, 'empresas.json')
class CompaniesMonthsIntegrated():
    def __init__(self):
        self._DB = DB()
        self._connection = self._DB.getConnection()

        self._connectionMongo = ConnectMongo()
        self._dbMongo = self._connectionMongo.getConnetion()
        self._collection = self._dbMongo['CompaniesMonthsAmountNotes']

    def getCompaniesMonthsAmountNotes(self, cgceMatriz):
        try:
            sql = readSql(os.path.dirname(os.path.abspath(__file__)), 'companies_months_fiscal_lancamentos.sql', cgceMatriz, cgceMatriz, cgceMatriz)
            df = pd.read_sql_query(sql, self._connection)
            data = json.loads(df.to_json(orient='records', date_format='iso'))

            return data
        except Exception as e:
            print(e)  

    def saveMongo(self, codiEmp, cgceMatriz, companieMonthsAmountNotes):
        dateStart = retornaCampoComoData('01/01/2021')
        dateNow = datetime.today() - relativedelta(months=1)
        
        year = dateStart.year
        startYear = dateStart.year
        startMonth = dateStart.month
        endYear = dateNow.year
        endMonth = dateNow.month

        while year <= endYear:
            months = extractFunctions.returnMonthsOfYear(year, startMonth, startYear, endMonth, endYear)
            
            print('\t\t - ', end='')
            for month in months:
                companieDataToSave = {}

                monthYearFormated = f'{month:0>2}/{year}'
                print(f'{monthYearFormated}, ', end='')

                amountNotaSaida = list(filter(lambda companieMonths: companieMonths['comp'][:10] == f"{year}-{month:0>2}-01" \
                    and companieMonths['tipo'] == 'SAIDA', companieMonthsAmountNotes))
                amountNotaSaida = analyzeIfFieldIsValidMatrix(amountNotaSaida, 1, [])

                amountNotaEntrada = list(filter(lambda companieMonths: companieMonths['comp'][:10] == f"{year}-{month:0>2}-01" \
                    and companieMonths['tipo'] == 'ENTRADA', companieMonthsAmountNotes))
                amountNotaEntrada = analyzeIfFieldIsValidMatrix(amountNotaEntrada, 1, [])

                amountNotaServico = list(filter(lambda companieMonths: companieMonths['comp'][:10] == f"{year}-{month:0>2}-01" \
                    and companieMonths['tipo'] == 'SERVICO', companieMonthsAmountNotes))
                amountNotaServico = analyzeIfFieldIsValidMatrix(amountNotaServico, 1, [])
    
                companieDataToSave['qtd_notas_saidas_operacao'] = analyzeIfFieldIsValid(amountNotaSaida, 'qtd_notas_operacao', 0)
                companieDataToSave['qtd_notas_saidas_operacao_dori'] = analyzeIfFieldIsValid(amountNotaSaida, 'qtd_notas_operacao_dori', 0)
                companieDataToSave['qtd_notas_entradas_operacao'] = analyzeIfFieldIsValid(amountNotaEntrada, 'qtd_notas_operacao', 0)
                companieDataToSave['qtd_notas_entradas_operacao_dori'] = analyzeIfFieldIsValid(amountNotaEntrada, 'qtd_notas_operacao_dori', 0)
                companieDataToSave['qtd_notas_servicos_operacao'] = analyzeIfFieldIsValid(amountNotaServico, 'qtd_notas_operacao', 0)
                companieDataToSave['qtd_notas_servicos_operacao_dori'] = analyzeIfFieldIsValid(amountNotaServico, 'qtd_notas_operacao_dori', 0)               

                companieDataToSave['codi_emp'] = codiEmp
                companieDataToSave['cgce_matriz'] = cgceMatriz
                companieDataToSave['competence'] = f'{year}-{month:0>2}'
                
                self._collection.update_one( 
                    { 
                        "codi_emp": companieDataToSave['codi_emp'],
                        "competence": companieDataToSave['competence']
                    }, 
                    { "$set": companieDataToSave }, 
                    upsert=True 
                )

            print('')
            year += 1

    def exportData(self):
        print('- Exportando dados de integração:')
        try:
            companiesSettingsView = list(self._dbMongo['CompaniesSettingsView'].find({}))
            for companieSettingView in companiesSettingsView:
                del companieSettingView['_id']

                codiEmp = companieSettingView['codi_emp']                
                print(f"\t- Processando empresa {codiEmp} - {companieSettingView['nome_emp']}")

                cgceEmp = str(treatNumberField(companieSettingView['cgce_emp']))
                cgceMatriz = cgceEmp[:8]

                isCompanyBranch = treatTextField(companieSettingView['isCompanyBranch'])

                if isCompanyBranch == 'NAO':
                    companieMonthsAmountNotes = self.getCompaniesMonthsAmountNotes(cgceMatriz)
                else:
                    companieMonthsAmountNotes = self.getCompaniesMonthsAmountNotes(cgceEmp)
                
                self.saveMongo(codiEmp, cgceMatriz, companieMonthsAmountNotes)

        except Exception as e:
            print(f"Erro ao executar a consulta. O erro é: {e}")
        finally:
            self._connectionMongo.closeConnection()
            self._DB.closeConnection()
예제 #20
0
class extractEfsaidas():
    def __init__(self):
        self._DB = DB()
        self._connection = self._DB.getConnection()
        self._cursor = None
        self._wayCompanies = os.path.join(wayDefault['wayDefaultToSaveFiles'],
                                          'empresas.json')
        self._dataCompanies = readJson(self._wayCompanies)
        self._baseWayToSave = os.path.join(wayDefault['wayDefaultToSaveFiles'],
                                           'saidas')
        if os.path.exists(self._baseWayToSave) is False:
            os.makedirs(self._baseWayToSave)
        self._today = datetime.date.today()
        self._currentMonth = self._today.month
        self._currentYear = self._today.year

    def exportData(self,
                   filterCompanie=0,
                   filterMonthStart=1,
                   filterYearStart=2013,
                   filterMonthEnd=0,
                   filterYearEnd=0):
        filterMonthEnd = self._currentMonth if filterMonthEnd == 0 else filterMonthEnd
        filterYearEnd = self._currentYear if filterYearEnd == 0 else filterYearEnd

        try:
            for companie in self._dataCompanies:
                codi_emp = companie['codi_emp']

                if filterCompanie != 0 and filterCompanie != codi_emp:
                    continue  # ignora as empresas que não estão no filtro

                print(
                    f"- Exportando NF de saídas da empresa {codi_emp} - {companie['nome_emp']}"
                )

                wayToSaveCompanie = os.path.join(self._baseWayToSave,
                                                 str(codi_emp))
                if os.path.exists(wayToSaveCompanie) is False:
                    os.makedirs(wayToSaveCompanie)

                competenceStartEnd = extractFunctions.returnCompetenceStartEnd(
                    companie, filterMonthStart, filterYearStart,
                    filterMonthEnd, filterYearEnd)
                startMonth = competenceStartEnd['filterMonthStart']
                startYear = competenceStartEnd['filterYearStart']
                endMonth = competenceStartEnd['filterMonthEnd']
                endYear = competenceStartEnd['filterYearEnd']

                year = startYear

                while year <= endYear:

                    months = extractFunctions.returnMonthsOfYear(
                        year, startMonth, startYear, endMonth, endYear)

                    print('\t - ', end='')
                    for month in months:
                        print(f'{month:0>2}/{year}, ', end='')

                        self._wayToSave = os.path.join(
                            wayToSaveCompanie, f'{str(year)}{month:0>2}.json')

                        self._cursor = self._connection.cursor()
                        sql = (
                            f"SELECT nf.codi_emp, nf.codi_sai, nf.nume_sai, nf.codi_cli, nf.codi_esp, nf.codi_acu, nf.codi_nat, nf.segi_sai, "
                            f"       nf.seri_sai, nf.dsai_sai, nf.ddoc_sai, nf.vcon_sai, nf.situacao_sai, nf.chave_nfe_sai "
                            f"  FROM bethadba.efsaidas AS nf "
                            f" WHERE nf.codi_emp = {codi_emp}"
                            f"   AND year(nf.ddoc_sai) = {year}"
                            f"   AND month(nf.ddoc_sai) = {month}"
                            f"ORDER BY nf.codi_emp, nf.codi_sai")
                        self._cursor.execute(sql)

                        df = pd.read_sql_query(sql, self._connection)

                        df.to_json(self._wayToSave,
                                   orient='records',
                                   date_format='iso')

                    print('')
                    year += 1

        except Exception as e:
            print(f"Erro ao executar a consulta. O erro é: {e}")
        finally:
            if self._cursor is not None:
                self._cursor.close()
            self._DB.closeConnection()
예제 #21
0
 def __init__(self):
     self._DB = DB()
     self._connection = self._DB.getConnection()
     self._cursor = None
class CompaniesMonthsIntegrated():
    def __init__(self):
        self._DB = DB()
        self._connection = self._DB.getConnection()

        self._connectionMongo = ConnectMongo()
        self._dbMongo = self._connectionMongo.getConnetion()
        self._collection = self._dbMongo[
            'CompaniesMonthsIntegrated']  # vai adicionar na tabela de empresas os dados

    def getCompaniesMonthsIntegrated(self, codiEmp):
        try:
            sql = readSql(os.path.dirname(os.path.abspath(__file__)),
                          'companies_months_integrated.sql', codiEmp)
            df = pd.read_sql_query(sql, self._connection)
            data = json.loads(df.to_json(orient='records', date_format='iso'))

            return data
        except Exception as e:
            print(e)

    def checkMonthsIntegrated(self, companieSettingView,
                              companieMonthsIntegrated):
        statusAccountPaid = treatTextField(
            companieSettingView['statusAccountPaid'])
        isCompanyBranch = treatTextField(
            companieSettingView['isCompanyBranch'])

        dateAccountPaid = retornaCampoComoData(
            analyzeIfFieldIsValid(companieSettingView, 'dateAccountPaid',
                                  '01/01/1900'))
        dateStart = retornaCampoComoData('01/01/2021')
        dateNow = datetime.today() - relativedelta(months=1)

        year = dateStart.year
        startYear = dateStart.year
        startMonth = dateStart.month
        endYear = dateNow.year
        endMonth = dateNow.month

        while year <= endYear:
            months = extractFunctions.returnMonthsOfYear(
                year, startMonth, startYear, endMonth, endYear)

            print('\t\t - ', end='')
            for month in months:
                monthYearFormated = f'{month:0>2}/{year}'
                competence = retornaCampoComoData(f"01/{monthYearFormated}")
                print(f'{monthYearFormated}, ', end='')

                integrated = list(
                    filter(
                        lambda companieMonths: companieMonths['comp'][:10] ==
                        f"{year}-{month:0>2}-01", companieMonthsIntegrated))

                try:
                    companieSettingView['monthIntegratedMandatory'] = True if dateAccountPaid < competence and \
                        statusAccountPaid.find('CONCLUIDA') >= 0 and statusAccountPaid.find('ANTIGO') < 0 and \
                        isCompanyBranch == "NAO" else False
                except Exception:
                    companieSettingView['monthIntegratedMandatory'] = False

                if len(integrated) > 0:
                    integrated = integrated[0]
                    companieSettingView[
                        'existIntegrated'] = True if integrated[
                            'qtd_lan_ti_importado_dlan'] > 0 else False

                companieSettingView[
                    'qtd_lan_ti_importado_dlan'] = analyzeIfFieldIsValid(
                        integrated, 'qtd_lan_ti_importado_dlan', 0)
                companieSettingView[
                    'qtd_lan_ti_importado_dori'] = analyzeIfFieldIsValid(
                        integrated, 'qtd_lan_ti_importado_dori', 0)
                companieSettingView[
                    'qtd_lan_operacao'] = analyzeIfFieldIsValid(
                        integrated, 'qtd_lan_operacao', 0)
                companieSettingView[
                    'qtd_lan_operacao_dori'] = analyzeIfFieldIsValid(
                        integrated, 'qtd_lan_operacao_dori', 0)
                companieSettingView['cgce_matriz'] = analyzeIfFieldIsValid(
                    integrated, 'cgce_matriz')

                companieSettingView['competence'] = f'{year}-{month:0>2}'

                self._collection.update_one(
                    {
                        "codi_emp": companieSettingView['codi_emp'],
                        "competence": companieSettingView['competence']
                    }, {"$set": companieSettingView},
                    upsert=True)

            print('')
            year += 1

    def exportData(self):
        print('- Exportando dados de integração:')
        try:
            companiesSettingsView = list(
                self._dbMongo['CompaniesSettingsView'].find({}))
            for companieSettingView in companiesSettingsView:
                del companieSettingView['_id']

                codiEmp = companieSettingView['codi_emp']
                print(
                    f"\t- Processando empresa {codiEmp} - {companieSettingView['nome_emp']}"
                )

                companieMonthsIntegrated = self.getCompaniesMonthsIntegrated(
                    codiEmp)

                self.checkMonthsIntegrated(companieSettingView,
                                           companieMonthsIntegrated)

        except Exception as e:
            print(f"Erro ao executar a consulta. O erro é: {e}")
        finally:
            self._connectionMongo.closeConnection()
            self._DB.closeConnection()
예제 #23
0
class extractAccountBalance():
    def __init__(self):
        self._DB = DB()
        self._connection = self._DB.getConnection()
        self._cursor = None
        self._wayCompanies = os.path.join(wayDefault['wayDefaultToSaveFiles'], 'empresas.json') 
        self._dataCompanies = readJson(self._wayCompanies)
        self._baseWayToSave = os.path.join(wayDefault['wayDefaultToSaveFiles'], 'entradas')
        if os.path.exists(self._baseWayToSave) is False:
            os.makedirs(self._baseWayToSave)
        self._today = datetime.date.today()
        self._currentMonth = self._today.month
        self._currentYear = self._today.year

        self._connectionMongo = ConnectMongo()
        self._dbMongo = self._connectionMongo.getConnetion()
        self._collection = self._dbMongo['AccountBalance']

    def exportData(self, filterCompanie=0, filterMonthStart=1, filterYearStart=2015, filterMonthEnd=0, filterYearEnd=0):
        filterMonthEnd = self._currentMonth if filterMonthEnd == 0 else filterMonthEnd
        filterYearEnd = self._currentYear if filterYearEnd == 0 else filterYearEnd
        
        try:
            for companie in self._dataCompanies:
                codi_emp = companie['codi_emp']

                if filterCompanie != 0 and filterCompanie != codi_emp:
                    continue # ignora as empresas que não estão no filtro

                print(f"- Exportando saldos das contas contábeis da empresa {codi_emp} - {companie['nome_emp']}")
                
                wayToSaveCompanie = os.path.join(self._baseWayToSave, str(codi_emp))
                if os.path.exists(wayToSaveCompanie) is False:
                    os.makedirs(wayToSaveCompanie)
                        
                competenceStartEnd = extractFunctions.returnCompetenceStartEnd(companie, filterMonthStart, filterYearStart, filterMonthEnd, filterYearEnd)
                startYear = competenceStartEnd['filterYearStart']
                endYear = competenceStartEnd['filterYearEnd']

                year = startYear

                while year <= endYear:

                    print(f'\t - {year}', end='')
                    
                    self._cursor = self._connection.cursor()
                    sql = ( "SELECT emp.codi_emp,"
                            "   emp.nome_emp,"
                            "   emp.cgce_emp,"
                            "   con.codi_cta,"		 
                            "   con.nome_cta,"
                            "   con.clas_cta,"
                            "   con.tipo_cta,"
                            "   deb = IF con.tipo_cta = 'S' THEN"
                                      "   IsNull((SELECT sum(l.vlor_lan)" 
                                                "   FROM bethadba.ctlancto AS l"
                                                     "   INNER JOIN bethadba.ctcontas AS c"
                                                          "   ON    c.codi_emp = l.codi_emp" 
                                               "   WHERE l.codi_emp = con.codi_emp"
                                                 f"   AND l.data_lan > DATE('1900-01-01') AND YEAR(l.data_lan) <= {year}"
                                                 "   AND Trim(con.clas_cta) = substr(c.clas_cta, 1, length(con.clas_cta))" 
                                                 "   AND c.codi_cta = l.cdeb_lan), 0)"
                                      "   ELSE"
                                       "   IsNull((SELECT sum(l.vlor_lan)"
                                                "   FROM bethadba.ctlancto AS l"
                                                     "   INNER JOIN bethadba.ctcontas AS c"
                                                          "   ON    c.codi_emp = l.codi_emp"
                                               "   WHERE l.codi_emp = con.codi_emp"
                                                 f"   AND l.data_lan > DATE('1900-01-01') AND YEAR(l.data_lan) <= {year}"
                                                 "   AND c.codi_cta = con.codi_cta"
                                                 "   AND c.codi_cta = l.cdeb_lan), 0) ENDIF,"                          
                            "   cred =  IF con.tipo_cta = 'S' THEN "
                                       "   IsNull((SELECT sum(l.vlor_lan) "
                                                 "   FROM bethadba.ctlancto AS l"
                                                     "   INNER JOIN bethadba.ctcontas AS c"
                                                          "   ON    c.codi_emp = l.codi_emp "
                                               "   WHERE l.codi_emp = con.codi_emp"
                                                  f"   AND l.data_lan > DATE('1900-01-01') AND YEAR(l.data_lan) <= {year}"
                                                  "   AND Trim(con.clas_cta) = substr(c.clas_cta, 1, length(con.clas_cta)) "
                                                  "   AND c.codi_cta = l.ccre_lan), 0)"
                                      "   ELSE "
                                      "   IsNull((SELECT sum(l.vlor_lan) "
                                                 "   FROM bethadba.ctlancto AS l"
                                                     "   INNER JOIN bethadba.ctcontas AS c"
                                                          "   ON    c.codi_emp = l.codi_emp "
                                               "   WHERE l.codi_emp = con.codi_emp"
                                                  f"   AND l.data_lan > DATE('1900-01-01') AND YEAR(l.data_lan) <= {year}"
                                                  "   AND c.codi_cta = con.codi_cta"
                                                  "   AND c.codi_cta = l.ccre_lan), 0) ENDIF,"
                            "   saldo = deb - cred"
                       "   FROM bethadba.ctcontas AS con"
                            "   INNER JOIN bethadba.geempre AS emp"
                                 "   ON    emp.codi_emp = con.codi_emp"     
                      f"   WHERE emp.codi_emp = {codi_emp}"
                      "      AND saldo <> 0"
                   "   ORDER BY emp.codi_emp, con.clas_cta, con.nome_cta" )
                    
                    self._cursor.execute(sql)

                    df = pd.read_sql_query(sql, self._connection)

                    data = json.loads(df.to_json(orient='records', date_format='iso'))
                    for accountBalance in data:
                        accountBalance['year'] = year
                        self._collection.update_one( {
                                "codi_emp": accountBalance['codi_emp'],
                                "codi_cta": accountBalance['codi_cta'],
                                "year": accountBalance['year']
                            },
                            { "$set": accountBalance },
                            upsert=True
                        )


                    print('')
                    year += 1
        except Exception as e:
            print(f"Erro ao executar a consulta. O erro é: {e}")
        finally:
            if self._cursor is not None:
                self._cursor.close()
            self._DB.closeConnection()
예제 #24
0
class extractEfmvspro():
    def __init__(self):
        self._DB = DB()
        self._connection = self._DB.getConnection()
        self._cursor = None
        self._wayCompanies = os.path.join(wayDefault['wayDefaultToSaveFiles'],
                                          'empresas.json')
        self._dataCompanies = readJson(self._wayCompanies)
        self._baseWayToSave = os.path.join(wayDefault['wayDefaultToSaveFiles'],
                                           'saidas_produtos')
        if os.path.exists(self._baseWayToSave) is False:
            os.makedirs(self._baseWayToSave)
        self._today = datetime.date.today()
        self._currentMonth = self._today.month
        self._currentYear = self._today.year

    def exportData(self,
                   filterCompanie=0,
                   filterMonthStart=1,
                   filterYearStart=2019,
                   filterMonthEnd=0,
                   filterYearEnd=0):
        filterMonthEnd = self._currentMonth if filterMonthEnd == 0 else filterMonthEnd
        filterYearEnd = self._currentYear if filterYearEnd == 0 else filterYearEnd

        try:
            for companie in self._dataCompanies:
                codi_emp = companie['codi_emp']

                if filterCompanie != 0 and filterCompanie != codi_emp:
                    continue  # ignora as empresas que não estão no filtro

                print(
                    f"- Exportando produtos das NF de saídas da empresa {codi_emp} - {companie['nome_emp']}"
                )

                wayToSaveCompanie = os.path.join(self._baseWayToSave,
                                                 str(codi_emp))
                if os.path.exists(wayToSaveCompanie) is False:
                    os.makedirs(wayToSaveCompanie)

                competenceStartEnd = extractFunctions.returnCompetenceStartEnd(
                    companie, filterMonthStart, filterYearStart,
                    filterMonthEnd, filterYearEnd)
                startMonth = competenceStartEnd['filterMonthStart']
                startYear = competenceStartEnd['filterYearStart']
                endMonth = competenceStartEnd['filterMonthEnd']
                endYear = competenceStartEnd['filterYearEnd']

                year = startYear

                while year <= endYear:

                    months = extractFunctions.returnMonthsOfYear(
                        year, startMonth, startYear, endMonth, endYear)

                    print('\t - ', end='')
                    for month in months:
                        print(f'{month:0>2}/{year}, ', end='')

                        self._wayToSave = os.path.join(
                            wayToSaveCompanie, f'{str(year)}{month:0>2}.json')

                        self._cursor = self._connection.cursor()
                        sql = (
                            f"SELECT pro.codi_emp, codigo_nota = pro.codi_sai, numero = sai.nume_sai, cli_for = cli.nome_cli, chave_nfe = sai.chave_nfe_sai, "
                            f"       emissao = sai.ddoc_sai, saida_entrada = sai.dsai_sai, codi_pdi = pro.codi_pdi, desc_pdi = procad.desc_pdi, "
                            f"       cfop = pro.cfop_msp, qtd = pro.qtde_msp, vunit = pro.valor_unit_msp, vtot = pro.vpro_msp /*, pro.vipi_msp, pro.bcal_msp, "
                            f"       pro.cst_msp, pro.vdes_msp, pro.bicms_msp, pro.bicmsst_msp, pro.aliicms_msp, pro.valor_icms_msp, pro.valor_subtri_msp, "
                            f"       pro.vfre_msp, pro.vseg_msp, pro.vdesace_msp */ "
                            f"  FROM bethadba.efmvspro AS pro "
                            f"       INNER JOIN bethadba.efsaidas AS sai "
                            f"            ON    sai.codi_emp = pro.codi_emp "
                            f"              AND sai.codi_sai = pro.codi_sai "
                            f"       INNER JOIN bethadba.efclientes AS cli "
                            f"            ON    cli.codi_emp = sai.codi_emp "
                            f"              AND cli.codi_cli = sai.codi_cli "
                            f"       INNER JOIN bethadba.efprodutos AS procad "
                            f"            ON    procad.codi_emp = pro.codi_emp "
                            f"              AND procad.codi_pdi = pro.codi_pdi "
                            f" WHERE sai.codi_emp = {codi_emp}"
                            f"   AND year(sai.ddoc_sai) = {year}"
                            f"   AND month(sai.ddoc_sai) = {month}"
                            f"ORDER BY pro.codi_emp, pro.codi_sai, pro.nume_msp"
                        )
                        self._cursor.execute(sql)

                        df = pd.read_sql_query(sql, self._connection)

                        df.to_json(self._wayToSave,
                                   orient='records',
                                   date_format='iso')

                    print('')
                    year += 1

        except Exception as e:
            print(f"Erro ao executar a consulta. O erro é: {e}")
        finally:
            if self._cursor is not None:
                self._cursor.close()
            self._DB.closeConnection()