示例#1
0
 def __users_extract_partial(self): 
     """
     No se puede usar el incremental export  porque todos los usuarios estan siendo 
     updated conforme a sus valores en Salesforce. 
     Para utilizar el enpoint incremental sera necesario modificar el flujo de trabajo de
     la actualizacion del user type para que solo actualice aquellos usuarios que 
     tengan algun cambio en sus valores. 
     """
     users =[] 
     # fecha = int(datetime.datetime.strptime(self.fecha, "%Y-%m-%d").timestamp())
     # url = self.incremental_users + str("?start_time=")+ str(fecha)
     # response = requests.get(url, auth = (os.environ["ZENDESK_USER"], os.environ["ZENDESK_PASSWORD"]))
     query = "type:user created>={}".format(self.fecha)
     response = requests.get(self.search_url + query, auth = (os.environ["ZENDESK_USER"], os.environ["ZENDESK_PASSWORD"]))
     data = response.json()
     users.extend(data["results"])
     url = data["next_page"]
     print(url)
     while url:
         response = requests.get(url, auth = (os.environ["ZENDESK_USER"], os.environ["ZENDESK_PASSWORD"]))
         if response.status_code != 200: 
             print("Error en la extraccion. CodeError: "+ str(response.status_code))
         data = response.json()
         users.extend(data['results'])
         if url == data['next_page']:
             break
         print("Numero de usuarios extraidos: {}".format(len(users)))
         url = data["next_page"]
         print(url)
     tabla = pd.io.json.json_normalize(users)
     tabla = clean.fix_columns(tabla)
     self.users_table = tabla
     return self
示例#2
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 def __extract_tag_history(self): 
     self.tag_history_url = "https://runahr.zendesk.com/api/v2/ticket_audits.json"
     response = requests.get(self.tag_history_url, auth = (os.environ["ZENDESK_USER"], os.environ["ZENDESK_PASSWORD"]))
     data = response.json()
     next_url = data["before_url"]
     tags = []
     tags.append(data["audits"])
     counter = 0
     while next_url != None and counter < 1: 
         response = requests.get(next_url, auth = (os.environ["ZENDESK_USER"], os.environ["ZENDESK_PASSWORD"]))
         data = response.json()
         tags.append(data["audits"])
         next_url = data["before_url"]
         print(len(tags)) #deprecate
         counter += 1
         tabla = pd.DataFrame()
     for request in tags: 
         for audit in request: 
             id = audit["ticket_id"]
             created_at = audit["created_at"]
             for evento in audit["events"]: 
                 if evento["type"] == "Change" and evento["field_name"] == "tags": 
                     aux = pd.DataFrame(evento["value"])
                     aux["id"] = id
                     aux["updated"] = created_at
                     tabla =  tabla.append(aux)
     tabla.rename(columns = {0: "tag"}, inplace = True)
     tabla = tabla.reset_index(drop = True)
     tabla = clean.fix_columns(tabla)
     self.tabla_tag_history = tabla
示例#3
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 def __tickets_extract(self):
     """
     Extraccion completa de Tickets a traves del endpoint incremental. 
     
     Retoma los valores pasados como argumentos en la instancia. 
     Fecha: Valor en timestamp desde la cual se hara la extraccion. 
     tipo : 
         - complete: Extraccion de la totalidad de los tickets desde el primero de enero de 2018. 
         - partial: se tomara el valor de la fecha de entrada para hacer la extraccion. 
     """
     tickets = []
     if self.tipo == "complete":
         fecha = int(
             datetime.datetime.strptime("2018-01-01",
                                        "%Y-%m-%d").timestamp())
         response = requests.get(self.incremental + str("?start_time=") +
                                 str(fecha),
                                 auth=(os.environ["ZENDESK_USER"],
                                       os.environ["ZENDESK_PASSWORD"]))
         if response.status_code != 200:
             print("Error en la extraccion. CodeError: " +
                   str(response.status_code))
         data = response.json()
         tickets.extend(data['tickets'])
         url = data['next_page']
     if self.tipo == "partial":
         fecha = int(
             datetime.datetime.strptime(self.fecha, "%Y-%m-%d").timestamp())
         url = self.incremental + str("?start_time=") + str(fecha) + str(
             "&include=comment_events")
         response = requests.get(url,
                                 auth=(os.environ["ZENDESK_USER"],
                                       os.environ["ZENDESK_PASSWORD"]))
         if response.status_code != 200:
             print("Error en la extraccion. CodeError: " +
                   str(response.status_code))
         data = response.json()
         tickets.extend(data['tickets'])
         url = data['next_page']
     while url:
         response = requests.get(url,
                                 auth=(os.environ["ZENDESK_USER"],
                                       os.environ["ZENDESK_PASSWORD"]))
         if response.status_code == 429:
             print(url)
             print(response.json())
         if response.status_code != 200:
             print("Error en la extraccion. CodeError: " +
                   str(response.status_code))
         data = response.json()
         tickets.extend(data['tickets'])
         if url == data['next_page']:
             break
         print("Numero de tickets extraidos: {}".format(len(tickets)))
         url = data["next_page"]
     tabla = pd.io.json.json_normalize(tickets)
     tabla = clean.fix_columns(tabla)
     self.tickets_table = tabla
示例#4
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 def extract_groups(self): 
     self.groups_url = "https://runahr.zendesk.com/api/v2/groups.json"
     response = requests.get(self.groups_url, auth = (os.environ["ZENDESK_USER"], os.environ["ZENDESK_PASSWORD"]))
     tabla = []
     for i in response.json()["groups"]:
         tabla.append(i)
     tabla = clean.fix_columns(pd.DataFrame(tabla))
     self.table_groups = tabla
     Initialize("groups", self.engine)
     New_columns(self.table_groups, "groups", self.engine)
     Upload_Redshift(self.table_groups,"groups", "zendesk_support","zendesk-runahr",self.engine)
     return self
示例#5
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 def __extract_field_options(self): 
     self.custom_fields_url = "https://runahr.zendesk.com/api/v2/ticket_fields.json"
     respuesta = requests.get(self.custom_fields_url, auth = (os.environ["ZENDESK_USER"], os.environ["ZENDESK_PASSWORD"]))
     data = respuesta.json()
     fields = data["ticket_fields"]
     tabla = []
     for field in fields: 
         if "custom_field_options" in field.keys():
             data = field["custom_field_options"]
             for entry in data: 
                 tabla.append(entry)
     tabla = pd.DataFrame(tabla)
     tabla = clean.fix_columns(tabla)
     self.table_fields_options = tabla
示例#6
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 def __users_extract_complete(self): 
     users = []
     self.users_url = "https://runahr.zendesk.com/api/v2/users.json"
     response = requests.get(self.users_url, auth = (os.environ["ZENDESK_USER"], os.environ["ZENDESK_PASSWORD"]))
     data = response.json()
     users.extend(data['users'])
     url = data['next_page']
     while url:
         response = requests.get(url, auth = (os.environ["ZENDESK_USER"], os.environ["ZENDESK_PASSWORD"]))
         if response.status_code != 200: 
             print("Error en la extraccion. CodeError: "+ str(response.status_code))
         data = response.json()
         users.extend(data['users'])
         if url == data['next_page']:
             break
         print("Numero de usuarios extraidos: {}".format(len(users)))
         url = data["next_page"]
     tabla = pd.io.json.json_normalize(users)
     tabla = clean.fix_columns(tabla)
     self.users_table = tabla
示例#7
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    def __extract_tag_history_partial(self, fecha, ids): 
        tabla = pd.DataFrame()
        for ticket in ids: 
            url = "https://runahr.zendesk.com/api/v2/tickets/{}/audits.json".format(str(ticket))
            response = requests.get(url, auth = (os.environ["ZENDESK_USER"], os.environ["ZENDESK_PASSWORD"]))
            data = response.json()

            for audit in data["audits"]: 
                id = audit["ticket_id"]
                created_at = audit["created_at"]
                for evento in audit["events"]: 
                    if evento["type"] == "Change" and evento["field_name"] == "tags": 
                        aux = pd.DataFrame(evento["value"])
                        aux["id"] = id
                        aux["updated"] = created_at
                        tabla =  tabla.append(aux)
            print("Audists del ticket: ", str(ticket))
        tabla.rename(columns = {0: "tag"}, inplace = True)
        tabla = tabla.reset_index(drop = True)
        tabla = clean.fix_columns(tabla)
        self.tabla_tag_history = tabla  
示例#8
0
 def __orgs_extract_partial(self): 
     query = "type:organization created>={}".format(self.fecha)
     orgs = []
     response = requests.get(self.search_url + query, auth = (os.environ["ZENDESK_USER"], os.environ["ZENDESK_PASSWORD"]))
     data = response.json()
     orgs.extend(data["results"])
     url = data["next_page"]
     while url:
         response = requests.get(url, auth = (os.environ["ZENDESK_USER"], os.environ["ZENDESK_PASSWORD"]))
         if response.status_code != 200: 
             print("Error en la extraccion. CodeError: "+ str(response.status_code))
         data = response.json()
         orgs.extend(data['results'])
         if url == data['next_page']:
             break
         print("Numero de organizaciones extraidas: {}".format(len(orgs)))
         url = data["next_page"]
     tabla = pd.io.json.json_normalize(orgs)
     tabla = clean.fix_columns(tabla)
     self.orgs_table = tabla
     return self
示例#9
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 def __orgs_extract(self): 
     """
     Se incluye la opcion de count
     """
     self.orgs_url = "https://runahr.zendesk.com/api/v2/organizations.json"
     response = requests.get(self.orgs_url, auth = (os.environ["ZENDESK_USER"], os.environ["ZENDESK_PASSWORD"]))
     count = response.json()['count']
     data = response.json()
     orgs = []
     orgs.extend(data['organizations'])
     url = data['next_page']
     while url:
         response = requests.get(url, auth = (os.environ["ZENDESK_USER"], os.environ["ZENDESK_PASSWORD"]))
         if response.status_code != 200: 
             print("Error en la extraccion. CodeError: "+ str(response.status_code))
         data = response.json()
         orgs.extend(data['organizations'])
         if url == data['next_page']:
             break
         print("Numero de organizaciones extraidas: {}".format(len(orgs)))
         url = data["next_page"]
     tabla = pd.io.json.json_normalize(orgs)
     tabla = clean.fix_columns(tabla)
     self.orgs_table = tabla
示例#10
0
    def __tickets_extract(self): 
        """
        Extraccion completa de Tickets a traves del endpoint incremental. 

        Retoma los valores pasados como argumentos en la instancia. 
        Fecha: Valor en timestamp desde la cual se hara la extraccion. 
        tipo : 
            - complete: Extraccion de la totalidad de los tickets desde el primero de enero de 2018. 
            - partial: se tomara el valor de la fecha de entrada para hacer la extraccion. 
        """
        self.incremental = "https://runahr.zendesk.com/api/v2/incremental/tickets.json"
        def extract_custom_fields(): 
            self.custom_fields_url = "https://runahr.zendesk.com/api/v2/ticket_fields.json"
            respuesta = requests.get(self.custom_fields_url, auth = (os.environ["ZENDESK_USER"], os.environ["ZENDESK_PASSWORD"]))
            data = respuesta.json()
            fields = data["ticket_fields"]
            dic = {}
            for i in fields: 
                dic.update({i["id"]:
                                {
                                "Name":i["raw_title_in_portal"], 
                                "Description":i["description"],
                                "Raw Description": i["raw_description"],
                                "Created_at": i["created_at"], 
                                "removable": i["removable"] # if removable == False entonces es uncampo de sistema.  
                                }
                        })
            return  dic
        def add_field(tickets_table):
            dic = {}
            for ticket, fields in zip(tickets_table.id, tickets_table.custom_fields): 
                for field in fields: 
                    if ticket not in dic: 
                        dic.update(
                            {ticket: 
                                {
                                    field["id"]:
                                        {
                                        "value": field["value"],
                                        "name":self.dic_fields[field["id"]]["Name"]
                                        }
                                }
                                })
                    else: 
                        dic[ticket].update(
                                {
                                    field["id"]:
                                        {
                                        "value": field["value"],
                                        "name":self.dic_fields[field["id"]]["Name"]
                                        }
                                }
                        )

            tabla = pd.DataFrame.from_dict(dic).T
            for column in tabla.columns: 
                nombre = "Custom_" + str(tabla[column].iloc[0]["name"])
                tabla = tabla.rename(columns = {column: nombre})
                aux = []
                for record in tabla[nombre]: 
                    aux.append(record["value"])
                tabla[nombre] = aux
            tabla.reset_index(inplace= True)
            tabla = tabla.rename(columns = {"index": "ticket_id"})
            tabla = tabla.merge(tickets_table, left_on = "ticket_id", right_on= "id")
            return tabla

        # Creacion de tabla catalogo de los custom fields siempre se actualizara por completo
        tickets = []
        if self.tipo == "complete": 
            fecha = int(datetime.datetime.strptime("2018-01-01","%Y-%m-%d").timestamp())
            response = requests.get(self.incremental + str("?start_time=")+ str(fecha), auth = (os.environ["ZENDESK_USER"], os.environ["ZENDESK_PASSWORD"]))
            if response.status_code != 200: 
                print("Error en la extraccion. CodeError: "+ str(response.status_code))
            data = response.json()
            tickets.extend(data['tickets'])
            url = data['next_page']
        if self.tipo == "partial": 
            fecha = int(datetime.datetime.strptime(self.fecha, "%Y-%m-%d").timestamp())
            url = self.incremental + str("?start_time=")+ str(fecha)
            response = requests.get(url, auth = (os.environ["ZENDESK_USER"], os.environ["ZENDESK_PASSWORD"]))
            if response.status_code != 200: 
                print("Error en la extraccion. CodeError: "+ str(response.status_code))
            data = response.json()
            tickets.extend(data['tickets'])
            url = data['next_page']
        while url: 
            response = requests.get(url, auth = (os.environ["ZENDESK_USER"], os.environ["ZENDESK_PASSWORD"]))
            time.sleep(4)
            if response.status_code != 200: 
                print("Error en la extraccion. CodeError: "+ str(response.status_code))
            data = response.json()
            tickets.extend(data['tickets'])
            if url == data['next_page']:
                break
            print("Numero de tickets extraidos: {}".format(len(tickets)))
            url = data["next_page"]
        tabla = pd.io.json.json_normalize(tickets)
        self.dic_fields = extract_custom_fields()
        tabla = add_field(tabla)
        tabla = clean.fix_columns(tabla)
        self.tickets_table = tabla

        print("Comienza Extraccion de Custom Fields")
        tabla = []
        for i in self.dic_fields.keys(): 
            aux = self.dic_fields[i]
            tabla.append(aux)
        tabla = pd.DataFrame(tabla)
        tabla["id"] = [i for i in self.dic_fields.keys()]
        tabla = clean.fix_columns(tabla)
        self.fields_table = tabla
        if self.tipo == "complete": 
            Initialize("custom_fields", self.engine)
            New_columns(tabla, "custom_fields", self.engine)
            Upload_Redshift(tabla,"custom_fields", "zendesk_support","zendesk-runahr",self.engine)
        if self.tipo == "partial": 
            New_columns(tabla, "custom_fields", self.engine)
            Upload_Redshift(tabla,"custom_fields", "zendesk_support","zendesk-runahr",self.engine)
        print("Termino extraccion de custom fields")