refactor: extract filter to a single location
chore: add filter for network sector chats
This commit is contained in:
Jelson Stoelben Rodrigues
114
src/main.rs
114
src/main.rs
@@ -198,8 +198,8 @@ fn main() -> anyhow::Result<()> {
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println!("IDS {:?}", talk_ids);
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println!("IDS {:?}", talk_ids);
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// Calculate the response time in seconds
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// Gather messages and apply filtering
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let response_time = talk_ids
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let filtered_chats = talk_ids
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.iter()
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.iter()
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.cloned()
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.cloned()
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.map(|talk_id| {
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.map(|talk_id| {
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@@ -285,12 +285,24 @@ fn main() -> anyhow::Result<()> {
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if comercial_agents_unavailable.is_some() {return None;}
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if comercial_agents_unavailable.is_some() {return None;}
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// Has network sector in any message
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let network_sector_mentioned = talk_histories.as_array().expect("Wrong message type received from talk histories").into_iter().find(|message_object|{
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let message = message_object["message"].as_str().expect("Failed to decode message as string");
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let found = message.to_uppercase().find(&"setor de redes".to_uppercase());
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found.is_some()
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});
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if network_sector_mentioned.is_some() {return None;}
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// Filter Bot finished chats
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// Filter Bot finished chats
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if json["agent"]["user"]["name"].as_str().unwrap_or("unknown_user") == "PipeBot" {return None;}
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if json["agent"]["user"]["name"].as_str().unwrap_or("unknown_user") == "PipeBot" {return None;}
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return Some(json);
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return Some(json);
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})
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});
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// .clone()
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// Calculate the response time in seconds
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let response_time = filtered_chats
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.clone()
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.map(|messages| {
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.map(|messages| {
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let json = messages.unwrap();
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let json = messages.unwrap();
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let talk_histories = &json["talk_histories"];
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let talk_histories = &json["talk_histories"];
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@@ -355,98 +367,8 @@ fn main() -> anyhow::Result<()> {
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let mut response_time_file = std::fs::OpenOptions::new().write(true).open(format!("./evaluations/{formatted_day_before}/response_time.csv")).expect("Failed to open response time file for write");
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let mut response_time_file = std::fs::OpenOptions::new().write(true).open(format!("./evaluations/{formatted_day_before}/response_time.csv")).expect("Failed to open response time file for write");
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response_time_file.write_all(response_time.as_bytes()).expect("Failed to write to file!");
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response_time_file.write_all(response_time.as_bytes()).expect("Failed to write to file!");
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talk_ids
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filtered_chats
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.iter()
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.clone()
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.cloned()
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.map(|talk_id| {
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let talk_id_get_request = client
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.get(format!("https://{}/api/talk_histories", PIPERUN_API_URL))
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.bearer_auth(&access_token)
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.header("Content-Type", "application/json")
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.header("Accept", "application/json")
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.query(&[
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("talk_id", talk_id),
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("type", "a".to_string()),
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("only_view", "1".to_string()),
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]);
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let talk_id_get_result = talk_id_get_request.send();
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return talk_id_get_result;
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})
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.filter_map_ok(|result| {
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let json = result.json::<serde_json::Value>().expect("Failed to deserialize response to JSON").to_owned();
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let talk_histories = &json["talk_histories"];
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let data = &talk_histories["data"];
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// Filter chats that have very few messages
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let talk_lenght = talk_histories.as_array().expect("Wrong message type received from talk histories").len();
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if talk_lenght < MINIMUM_NUMBER_OF_MESSAGES_TO_EVALUATE {return None;}
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// Filter chats that have less that specified ammount of talks with support agent form the last queue transfer
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let found = talk_histories.as_array().expect("Wrong message type received from talk histories").into_iter().enumerate().find(|(pos, message_object)|{
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let message = message_object["message"].as_str().expect("Failed to decode message as string");
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let found = message.find("Atendimento transferido para a fila [NovaNet -> Atendimento -> Suporte]");
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found.is_some()
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});
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match found {
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None => {return None;},
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Some(pos) => {
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let pos_found = pos.0;
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if pos_found < MINIMUM_NUMBER_OF_MESSAGES_WITH_AGENT_TO_EVALUATE {return None;}
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}
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};
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// Filter chats that pass by multiple agents
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let number_of_agents_except_pipebot = talk_histories.as_array().expect("Wrong message type received from talk histories").into_iter()
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.map(|message| &message["user"]["name"])
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.filter(|name| name.as_str().unwrap() != "PipeBot".to_string())
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.unique()
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.count();
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if number_of_agents_except_pipebot > 1 {return None;}
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// Filter stop notification active
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let found_stop_notification = talk_histories.as_array().expect("Wrong message type received from talk histories").into_iter().enumerate().find(|(pos, message_object)|{
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let message = message_object["message"].as_str().expect("Failed to decode message as string");
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let found = message.find("ATENÇÃO CLIENTE COM NOTIFICAÇÃO DE PARADA ATIVA");
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found.is_some()
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});
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if found_stop_notification.is_some() {return None;}
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// Filter lack of dialogue
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let lack_of_dialogue = talk_histories.as_array().expect("Wrong message type received from talk histories").into_iter().find(|message_object|{
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let message = message_object["message"].as_str().expect("Failed to decode message as string");
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let found = message.to_uppercase().find(&"Esse atendimento está sendo encerrado devido a inexistência de diálogo".to_uppercase());
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found.is_some()
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});
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if lack_of_dialogue.is_some() {return None;}
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// Filter is portal access
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let portal_link_offer = talk_histories.as_array().expect("Wrong message type received from talk histories").into_iter().find(|message_object|{
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let message = message_object["message"].as_str().expect("Failed to decode message as string");
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let found = message.to_uppercase().find(&"https://novanet.portal.7az.com.br/login".to_uppercase());
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found.is_some()
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});
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if portal_link_offer.is_some() {return None;}
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// Filter no comercial agent available
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let comercial_agents_unavailable = talk_histories.as_array().expect("Wrong message type received from talk histories").into_iter().find(|message_object|{
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let message = message_object["message"].as_str().expect("Failed to decode message as string");
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let found = message.to_uppercase().find(&"Transbordo automático para a fila [NovaNet -> Atendimento -> Suporte], pois não havia agentes disponíveis na fila [NovaNet -> Atendimento -> Comercial]".to_uppercase());
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found.is_some()
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});
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if comercial_agents_unavailable.is_some() {return None;}
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// Filter Bot finished chats
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if json["agent"]["user"]["name"].as_str().unwrap_or("unknown_user") == "PipeBot" {return None;}
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return Some(json);
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})
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.skip(0)
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.skip(0)
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.take(15)
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.take(15)
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.for_each(|result| {
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.for_each(|result| {
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