import csv
import http.client
import time
from io import StringIO
import requests
import xml.etree.ElementTree as ET
from datetime import date
import pandas as pd 
from datetime import date
import datetime
import os
from datetime import datetime

dimensao = pd.read_csv('Dimensao.csv')
def busca_pdv(codigo_pesquisar):
    dimensao = pd.read_csv('Dimensao.csv',encoding='utf-8')
    df = dimensao
    codigos_correspondentes = df[(df['cpf_gr'] == codigo_pesquisar) | (df['cpf_sup'] == codigo_pesquisar)]['codigo'].tolist()

    unidades_dict = {'3546': 'aef41e8b-2a07-49eb-90ff-13b4a5ce6b65',
                        '4494': '804cb2f5-be0e-46ea-81cf-5faa1bfb59f2',
                        '4560': '2fb956b7-14ca-4320-b748-d7f3a9ea8e08',
                        '5699': 'b215bb37-3d30-4684-8d63-006a543bf9b4',
                        '11111': '01c5e9d5-fda9-4a7b-a57a-cf4ace4a0571',
                        '12522': '64ea8dd9-ffde-495b-9f86-3108fab1a203',
                        '12817': '56a47735-92e7-4317-9a86-0fcc35676a80',
                        '12818': '32af600c-4823-487b-b254-981666086329',
                        '12819': 'f20e7ffe-9d87-4fbc-b0ec-c49da6f43f33',
                        '12820': '54ba626b-eee9-4e4b-8a99-cbc15c9e3490',
                        '12823': '0c59fa2c-54d4-4f00-8952-38c9e9cda3d0',
                        '12824': 'ff5b50cb-3268-4653-968e-293f5155b938',
                        '12826': 'a15b0b35-bf09-4afa-8243-0469447d0ecd',
                        '12828': '0ec5b446-bbd8-438b-ba7c-d89eb1867c9d',
                        '12829': 'f3635215-5641-425f-80fa-44bc3041815e',
                        '12830': '00c76705-008e-41ab-b731-f7db638b81cc',
                        '12838': '35de9486-db2c-4449-8640-9e6e6e717c15',
                        '13427': 'decb5cb6-1e33-4c28-a2a9-945ff520b733',
                        '14617': '8b264cc0-cf93-4d8c-96d4-4dfb43fa5a4e',
                        '14668': '9439d248-6ca7-49b0-8bec-365741bd1518',
                        '19103': 'ea75000b-2d75-4eaa-af5f-37592b31c510',
                        '20005': 'ba3c5825-bd75-471d-81be-e59dc9bdb765',
                        '20006': 'f0169aed-0a07-4050-8952-114b1adafb50',
                        '20007': '1a28d239-8a39-4205-ae71-305dd47a3f67',
                        '20009': '4cd5cf69-82fd-472c-ade9-8cd924682dca',
                        '20056': '9188a0fe-5672-4e94-abb1-7cd5564566ff',
                        '20057': '8b2dae02-0d67-48d3-8a39-552769786b41',
                        '20441': 'ac31866e-1106-4c41-85dd-61ab3f782a1f',
                        '20858': '2189b870-51ab-4b5f-bf8d-2ed20324bfa2',
                        '20968': '6462b005-be0a-4065-968c-8308ff97389d',
                        '20969': '4c6eb12f-f16d-452f-808a-daa3d44c3cd0',
                        '20970': '550d82e1-ab5c-496e-88dd-0a4d4174b039',
                        '20986': 'd4c1f35b-0458-415c-ba02-e5a4a0e545e1',
                        '20988': '72921848-e9a3-4837-9941-9fccf9ca1beb',
                        '20989': '5b13795e-3062-4208-97de-27ed4642d097',
                        '20991': '9939bb4a-3d8b-43c6-857d-7c2efd6541cc',
                        '20992': '12148415-fb86-431e-89cd-7b17b27a345b',
                        '20993': '4aeac823-6b09-4582-acb4-22f0e72735d8',
                        '20994': '7860f680-bcc9-4d21-bf11-9dde76e2b1f1',
                        '20995': 'a3e122bc-2060-4f80-94f5-f43be99fb7a2',
                        '20996': '8676f6f8-a5b0-44cf-8220-06d41289fc34',
                        '20997': '680f71f3-1d4a-4263-a91f-6fb2a08b2dda',
                        '20998': '03cf8f3a-950c-43da-8b57-c498395fae5c',
                        '20999': '58691507-093a-4197-a696-81367eff33ff',
                        '21000': 'abcd6221-a26d-47bb-95e1-488602f76d51',
                        '21001': 'eadb3fa2-36ec-4936-b840-fb9597cadbac',
                        '21068': 'bdb2958d-7895-4c08-8dc6-7c724c1ae9c6',
                        '21277': '6a448c7d-fe7c-41e4-b8eb-5433ac52693b',
                        '21278': 'aedf2a6d-d982-4111-b3a4-117e46f5e9d5',
                        '21279': 'af5f4861-581a-4d45-aeb9-c90e44f30a50',
                        '21296': 'bbc66aa3-5d74-4405-8f58-d1b739c6a1ba',
                        '21375': '57ff2d4a-3945-48ca-a227-533c402e3060',
                        '21381': '2b030fe9-9285-45ef-97fb-b896337c739f',
                        '21382': 'f0f4884b-c190-4868-85c3-8cb64872ca84',
                        '21383': '0d9f481a-de26-47e6-8171-14f09643df57',
                        '21495': 'f7b321d8-b043-48f2-8555-3496630e9e83',
                        '21624': '22607a28-33a2-4cb4-a456-71054bda3755',
                        '21647': 'd4bb9aba-30e8-44f3-a83e-d44e6f87ce37',
                        '22448': 'e2778279-5fc4-4257-add4-3f196535e989',
                        '22541': 'e6a71600-0e5e-4806-8d6f-8dbe013da6e5',
                        '23156': "ace15a69-2af4-4f8d-8101-92c9e5201c84",
                        '23156': 'ace15a69-2af4-4f8d-8101-92c9e5201c84',
                        '23475': '4b149b33-33c0-4b95-9a7f-716dbd557b4a',
                        '23665': '5495e224-9b18-4b28-9d92-2f335e238dee',
                        '23701': '4e501dc2-c417-4bb4-bc97-3ba167360578',
                        '23702': 'ca93d092-b461-4446-bc78-7b9c717bb553',
                        '23703': '4d132cdc-0763-4e1f-8b4b-6a38a1280f81',
                        '23704': '9c4ec32d-38e2-46c7-9450-624f8f083ded',
                        '23705': '71badcb2-1043-431a-99b1-0bd11a9754a5',
                        '23706': 'c06de6a6-7b03-47ea-80a7-68d4a1f3dd04',
                        '23707': '9db686c8-5119-4eb1-9dd5-363d91db2513',
                        '23708': '3887a770-2b44-45d0-ab08-6cf03ec0e3d8',
                        '23709': 'a0e9e003-144e-4543-ac50-e4bf6894e6a2',
                        '23710': '3e4fc9f9-2716-4c03-b814-4fea06392757',
                        '23711': 'ab746a88-dbf2-4fb1-80f0-4e20a9c945f6',
                        '23712': '5b995c5e-563e-4dee-b408-78243fff8ec0',
                        '23713': 'fe02eab3-620c-402d-ae1d-ad564876b9af'
                        }

    concatenated_string = ""
    json_data = unidades_dict 
    for codigo in codigos_correspondentes:
        if str(codigo) in json_data:  # Verificar se o código existe no JSON
            concatenated_string += json_data[str(codigo)]   # Concatenar o valor com um espaço
            print(codigo)
    # Remover o espaço extra no final (opcional)
    concatenated_string = concatenated_string.strip()
    return concatenated_string

def log_pdv(codigo_pesquisar):
    dimensao = pd.read_csv('Dimensao.csv',encoding='utf-8')
    df = dimensao
    codigos_correspondentes = df[(df['cpf_gr'] == codigo_pesquisar) | (df['cpf_sup'] == codigo_pesquisar)]['codigo'].tolist()

    unidades_dict = {'3546': 'aef41e8b-2a07-49eb-90ff-13b4a5ce6b65',
                        '4494': '804cb2f5-be0e-46ea-81cf-5faa1bfb59f2',
                        '4560': '2fb956b7-14ca-4320-b748-d7f3a9ea8e08',
                        '5699': 'b215bb37-3d30-4684-8d63-006a543bf9b4',
                        '11111': '01c5e9d5-fda9-4a7b-a57a-cf4ace4a0571',
                        '12522': '64ea8dd9-ffde-495b-9f86-3108fab1a203',
                        '12817': '56a47735-92e7-4317-9a86-0fcc35676a80',
                        '12818': '32af600c-4823-487b-b254-981666086329',
                        '12819': 'f20e7ffe-9d87-4fbc-b0ec-c49da6f43f33',
                        '12820': '54ba626b-eee9-4e4b-8a99-cbc15c9e3490',
                        '12823': '0c59fa2c-54d4-4f00-8952-38c9e9cda3d0',
                        '12824': 'ff5b50cb-3268-4653-968e-293f5155b938',
                        '12826': 'a15b0b35-bf09-4afa-8243-0469447d0ecd',
                        '12828': '0ec5b446-bbd8-438b-ba7c-d89eb1867c9d',
                        '12829': 'f3635215-5641-425f-80fa-44bc3041815e',
                        '12830': '00c76705-008e-41ab-b731-f7db638b81cc',
                        '12838': '35de9486-db2c-4449-8640-9e6e6e717c15',
                        '13427': 'decb5cb6-1e33-4c28-a2a9-945ff520b733',
                        '14617': '8b264cc0-cf93-4d8c-96d4-4dfb43fa5a4e',
                        '14668': '9439d248-6ca7-49b0-8bec-365741bd1518',
                        '19103': 'ea75000b-2d75-4eaa-af5f-37592b31c510',
                        '20005': 'ba3c5825-bd75-471d-81be-e59dc9bdb765',
                        '20006': 'f0169aed-0a07-4050-8952-114b1adafb50',
                        '20007': '1a28d239-8a39-4205-ae71-305dd47a3f67',
                        '20009': '4cd5cf69-82fd-472c-ade9-8cd924682dca',
                        '20056': '9188a0fe-5672-4e94-abb1-7cd5564566ff',
                        '20057': '8b2dae02-0d67-48d3-8a39-552769786b41',
                        '20441': 'ac31866e-1106-4c41-85dd-61ab3f782a1f',
                        '20858': '2189b870-51ab-4b5f-bf8d-2ed20324bfa2',
                        '20968': '6462b005-be0a-4065-968c-8308ff97389d',
                        '20969': '4c6eb12f-f16d-452f-808a-daa3d44c3cd0',
                        '20970': '550d82e1-ab5c-496e-88dd-0a4d4174b039',
                        '20986': 'd4c1f35b-0458-415c-ba02-e5a4a0e545e1',
                        '20988': '72921848-e9a3-4837-9941-9fccf9ca1beb',
                        '20989': '5b13795e-3062-4208-97de-27ed4642d097',
                        '20991': '9939bb4a-3d8b-43c6-857d-7c2efd6541cc',
                        '20992': '12148415-fb86-431e-89cd-7b17b27a345b',
                        '20993': '4aeac823-6b09-4582-acb4-22f0e72735d8',
                        '20994': '7860f680-bcc9-4d21-bf11-9dde76e2b1f1',
                        '20995': 'a3e122bc-2060-4f80-94f5-f43be99fb7a2',
                        '20996': '8676f6f8-a5b0-44cf-8220-06d41289fc34',
                        '20997': '680f71f3-1d4a-4263-a91f-6fb2a08b2dda',
                        '20998': '03cf8f3a-950c-43da-8b57-c498395fae5c',
                        '20999': '58691507-093a-4197-a696-81367eff33ff',
                        '21000': 'abcd6221-a26d-47bb-95e1-488602f76d51',
                        '21001': 'eadb3fa2-36ec-4936-b840-fb9597cadbac',
                        '21068': 'bdb2958d-7895-4c08-8dc6-7c724c1ae9c6',
                        '21277': '6a448c7d-fe7c-41e4-b8eb-5433ac52693b',
                        '21278': 'aedf2a6d-d982-4111-b3a4-117e46f5e9d5',
                        '21279': 'af5f4861-581a-4d45-aeb9-c90e44f30a50',
                        '21296': 'bbc66aa3-5d74-4405-8f58-d1b739c6a1ba',
                        '21375': '57ff2d4a-3945-48ca-a227-533c402e3060',
                        '21381': '2b030fe9-9285-45ef-97fb-b896337c739f',
                        '21382': 'f0f4884b-c190-4868-85c3-8cb64872ca84',
                        '21383': '0d9f481a-de26-47e6-8171-14f09643df57',
                        '21495': 'f7b321d8-b043-48f2-8555-3496630e9e83',
                        '21624': '22607a28-33a2-4cb4-a456-71054bda3755',
                        '21647': 'd4bb9aba-30e8-44f3-a83e-d44e6f87ce37',
                        '22448': 'e2778279-5fc4-4257-add4-3f196535e989',
                        '22541': 'e6a71600-0e5e-4806-8d6f-8dbe013da6e5',
                        '23156': "ace15a69-2af4-4f8d-8101-92c9e5201c84",
                        '23156': 'ace15a69-2af4-4f8d-8101-92c9e5201c84',
                        '23475': '4b149b33-33c0-4b95-9a7f-716dbd557b4a',
                        '23665': '5495e224-9b18-4b28-9d92-2f335e238dee',
                        '23701': '4e501dc2-c417-4bb4-bc97-3ba167360578',
                        '23702': 'ca93d092-b461-4446-bc78-7b9c717bb553',
                        '23703': '4d132cdc-0763-4e1f-8b4b-6a38a1280f81',
                        '23704': '9c4ec32d-38e2-46c7-9450-624f8f083ded',
                        '23705': '71badcb2-1043-431a-99b1-0bd11a9754a5',
                        '23706': 'c06de6a6-7b03-47ea-80a7-68d4a1f3dd04',
                        '23707': '9db686c8-5119-4eb1-9dd5-363d91db2513',
                        '23708': '3887a770-2b44-45d0-ab08-6cf03ec0e3d8',
                        '23709': 'a0e9e003-144e-4543-ac50-e4bf6894e6a2',
                        '23710': '3e4fc9f9-2716-4c03-b814-4fea06392757',
                        '23711': 'ab746a88-dbf2-4fb1-80f0-4e20a9c945f6',
                        '23712': '5b995c5e-563e-4dee-b408-78243fff8ec0',
                        '23713': 'fe02eab3-620c-402d-ae1d-ad564876b9af'
                        }

    concatenated_string = ""
    json_data = unidades_dict 
    for codigo in codigos_correspondentes:
        if str(codigo) in json_data:  # Verificar se o código existe no JSON
            concatenated_string += json_data[str(codigo)]   # Concatenar o valor com um espaço
            print(codigo)


def encode_url(texto):
    return ''.join('%{:02X}'.format(ord(char)) if char not in 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789_.-' else char for char in texto)

def gerar_session_id(marca, relatorio):
    # URL do endpoint
    url = '', ''
    if marca == 'BOT':
        url = 'https://livers.e-boticario.com.br/ReportServer/ReportExecution2005.asmx'

    payload = f'''<Envelope xmlns="http://schemas.xmlsoap.org/soap/envelope/">
        <Body>
            <LoadReport xmlns="http://schemas.microsoft.com/sqlserver/2005/06/30/reporting/reportingservices">
                <Report>{relatorio}</Report>
            </LoadReport>
        </Body>
    </Envelope>'''

    headers = {
        "Content-Type": "text/xml; charset=utf-8",
        "SOAPAction": "http://schemas.microsoft.com/sqlserver/2005/06/30/reporting/reportingservices/LoadReport",
        "Authorization": "Basic ZG16XExpdmVSZXBvcnQ6MUVrd1BPRC9VMURrL0YxS2YrVVM="
    }

    response = requests.request("POST", url, data=payload, headers=headers)

    if response.status_code == 200:
        response_xml = response.text
        # Analisar o XML
        root = ET.fromstring(response_xml)

        # Encontrar o elemento ExecutionID
        execution_id_element = root.find(
            './/{http://schemas.microsoft.com/sqlserver/2005/06/30/reporting/reportingservices}ExecutionID')

        # Obter o valor do elemento ExecutionID
        execution_id = execution_id_element.text

        # print("ExecutionID:", execution_id)
        print(f'gerar sessão: {response.status_code} - {execution_id}')
        # print(response.text)
        return execution_id
    else:
        return



def carregar_relatorio(marca,  execution_id, cpf, data_inicial, data_final):
    pdvs = busca_pdv(cpf)
    url, host = '', ''
    if marca == 'QDB':
        # url = 'http://rs.quemdisseberenice.com.br/ReportServer/ReportExecution2005.asmx'
        url = 'rs.quemdisseberenice.com.br'
        owner_id = 'ea16f59c-ddec-4e6e-aea1-a220cbf0eaba'
    elif marca == 'BOT':
        # url = 'http://livers.e-boticario.com.br/ReportServer/ReportExecution2005.asmx'
        url = 'livers.e-boticario.com.br'
        owner_id = '3861c9c1-600b-4f7a-86b1-9bf685a6d041'

    endpoint = '/ReportServer/ReportExecution2005.asmx'
    payload = f'''<Envelope xmlns="http://schemas.xmlsoap.org/soap/envelope/">
    <Header>
        <ExecutionHeader xmlns="http://schemas.microsoft.com/sqlserver/2005/06/30/reporting/reportingservices">
            <ExecutionID>{execution_id}</ExecutionID>
        </ExecutionHeader>
    </Header>
    <Body>
        <SetExecutionParameters xmlns="http://schemas.microsoft.com/sqlserver/2005/06/30/reporting/reportingservices">
            <Parameters>
                <ParameterValue>
                    <Name>tipo</Name>
                    <Value>3</Value>
                </ParameterValue>
                <ParameterValue>
                    <Name>situacao</Name>
                    <Value>-1</Value>
                </ParameterValue>
                <ParameterValue>
                    <Name>interesse</Name>
                    <Value>2</Value>
                </ParameterValue>
                <ParameterValue>
                    <Name>titulorelatorio</Name>
                    <Value>Resumo de Vendas</Value>
                </ParameterValue>
                <ParameterValue>
                   <Name>filtrorelatorio</Name>
                    <Value>de 15/01/2025 até 15/01/2025; Lojas: 4494-COMERCIO-PONTA VERDE-MACEIO, 4560-COMERCIO-MACEIO SHOP TERREO-AL, 5699-COMERCIO -MOREIRA LIMA; Produtos: Todos; Vendedor: Todos; Tipo Relatório: Por Vendedor; Situação: Todos; Interesse: Todos; Classificadores: Todos;</Value>
                </ParameterValue>
                <ParameterValue>
                    <Name>lojarelatorio</Name>
                    <Value>CENTRAL 9004494</Value>
                </ParameterValue>
                 <ParameterValue>
                    <Name>unidadesnegocio</Name>
                    <Value>{pdvs}</Value>
                </ParameterValue>
                <ParameterValue>
                    <Name>datainicial</Name>
                    <Value>{data_inicial} 00:00:00</Value>
                </ParameterValue>
                <ParameterValue>
                    <Name>datafinal</Name>
                    <Value>{data_final} 23:59:59</Value>
                </ParameterValue>
                <ParameterValue>
                    <Name>ownerid</Name>
                    <Value>3861c9c1-600b-4f7a-86b1-9bf685a6d041</Value>
                </ParameterValue>
            </Parameters>
            <ParameterLanguage>pt-BR</ParameterLanguage>
        </SetExecutionParameters>
    </Body>
</Envelope>
            '''

    headers = {
        "Content-Type": "text/xml; charset=utf-8",
        "SOAPAction": 'http://schemas.microsoft.com/sqlserver/2005/06/30/reporting/reportingservices/SetExecutionParameters',
        "Authorization": "Basic ZG16XExpdmVSZXBvcnQ6MUVrd1BPRC9VMURrL0YxS2YrVVM=",
    }

    # Enable debugging for http.client
    # http.client.HTTPSConnection.debuglevel = 1

    # connection = http.client.HTTPSConnection(url)
    connection = http.client.HTTPSConnection(url)
    connection.request("POST", endpoint, body=payload, headers=headers)
    response = connection.getresponse()

    # Enable debugging for http.client
    # http.client.HTTPSConnection.debuglevel = 0

    print(f'setar parametros: {response.status}')



def gerar_csv(marca, execution_id, relatorio, cpf):
    url, host = '', ''
    if marca == 'QDB':
        url = 'http://rs.quemdisseberenice.com.br/ReportServer?'
        host = 'rs.quemdisseberenice.com.br'
    elif marca == 'BOT':
        url = 'https://livers.e-boticario.com.br/ReportServer?'
        host = 'livers.e-boticario.com.br'

    querystring = f'{encode_url(relatorio)}&rs:SessionID={execution_id}&rs:command=Render&rs:Format=CSV&rc:Toolbar=false&rs:ErrorResponseAsXml=true&rs:AllowNewSessions=false%20HTTP/1.1'

    headers = {
        'Accept-Language': 'pt-BR',
        'Authorization': 'Basic ZG16XExpdmVSZXBvcnQ6MUVrd1BPRC9VMURrL0YxS2YrVVM=',
        'Host': f'{host}'
    }

    response = requests.request("GET", f'{url}{querystring}', headers=headers)

    # print(url, querystring, sep='')
    # print(f'gerar csv: {response.status_code}')
    response_data = response.text
    # print(response_data[:100])

    # Separar mês e ano da string de data
    # inicio = data_inicial.find('-') + 1
    # fim = data_inicial.find('-', inicio)
    #ano = datetime.today().date().strftime('%Y')
    #numero_mes = datetime.today().date().strftime('%m')

    csv_file = StringIO(response_data)
    reader = csv.reader(csv_file)
    # output_file = fr'../csv_base/brindes/{numero_mes}.{numero_ano}_{cod_unidade}_brindes_{marca}.csv'
    # output_file = fr'../csv_base/posicao_de_estoque_na_data/posicao estoque_{data}_{cod_unidade}.csv'
    output_file = fr'temp\{cpf}.csv'

    # output_file = fr'../csv_base/brindes/{numero_mes}.csv'
    # Escrever os dados no arquivo CSV
    with open(output_file, mode='w', newline='', encoding='utf-8') as file:
        writer = csv.writer(file)

        # Escrever o cabeçalho
        writer.writerow(next(reader))

        # Escrever as linhas de dados
        for row in reader:
            writer.writerow(row)

    print(f'Dados foram gravados em "{output_file}"')



def exec (cpf, data_inicial, data_final):
    relatorio = '/Vendas/vendas14ResumoVendas' 
    exec_id = gerar_session_id('BOT', relatorio)
    MAX_RETRIES = 10
    retry_count = 0
    while True:  # Loop para tentar novamente em caso de falha
        try:
            carregar_relatorio('BOT', exec_id, cpf, data_inicial, data_final)
            gerar_csv('BOT', exec_id, relatorio, cpf)
            # print(cod_unidade, unidade, sep='\t')
            break  # Se chegou até aqui sem lançar exceções, pode sair do loop
        except requests.exceptions.ConnectionError as e:
            if retry_count == MAX_RETRIES:
                raise e
            else:
                print(f"Erro de conexão: {e}")
                time.sleep(5)
                retry_count += 1
        except ConnectionResetError as e:
            if retry_count == MAX_RETRIES:
                raise e
            else:
                print(f"Erro de conexão: {e}")
                time.sleep(5)
                retry_count += 1

    consulta = pd.read_csv(fr'temp\{cpf}.csv', encoding='ISO-8859-1')
    realizado_formatado = consulta['textbox56']
    boleto_medio = consulta['textbox86']
    realizado = (float(realizado_formatado.iloc[0].replace('.', '').replace(',', '.')))
    boleto_formato = (float(boleto_medio.iloc[0].replace('.', '').replace(',', '.')))
    mensagem = f"Aqui está o seu realizado deste mês: R$ {realizado} e o boleto médio foi R$ {boleto_formato}"
    return mensagem
'''
hoje = datetime.today()
primeiro_dia_mes = hoje.replace(day=1)
hoje_formatado = hoje.strftime('%Y-%m-%d')
primeiro_dia_formatado = primeiro_dia_mes.strftime('%Y-%m-%d')
realizado = exec(736514511, primeiro_dia_formatado, hoje_formatado)
print(hoje)
'''