Criado .env para todas as filas e copiados as avaliações de 07/26

This commit is contained in:
2026-07-20 08:11:51 -03:00
parent aaf68e044f
commit 4a8e70b485
10 changed files with 0 additions and 1368 deletions

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use std::env;
use anyhow::Result;
pub struct AppConfig {
pub ollama_url: String,
pub ollama_port: u16,
pub ollama_model: String,
pub piperun_api_url: String,
pub piperun_client_id: i32,
pub piperun_client_secret: String,
pub piperun_username: String,
pub piperun_password: String,
pub bot_email: String,
pub bot_email_password: String,
pub min_messages: usize,
pub min_agent_messages: usize,
}
impl AppConfig {
pub fn from_env() -> Result<Self> {
dotenv::dotenv().ok();
Ok(AppConfig {
ollama_url: env::var("OLLAMA_URL").unwrap_or_else(|_| "localhost".to_string()),
ollama_port: env::var("OLLAMA_PORT")
.unwrap_or_else(|_| "11432".to_string())
.parse::<u16>()
.unwrap_or(11432),
ollama_model: env::var("OLLAMA_AI_MODEL")
.expect("OLLAMA_AI_MODEL has not been set!"),
piperun_api_url: env::var("PIPERUN_API_URL")
.expect("PIPERUN_API_URL has not been set!"),
piperun_client_id: env::var("PIPERUN_CLIENT_ID")
.expect("PIPERUN_CLIENT_ID has not been set!")
.parse::<i32>()
.unwrap_or(0),
piperun_client_secret: env::var("PIPERUN_CLIENT_SECRET")
.expect("PIPERUN_CLIENT_SECRET has not been set!"),
piperun_username: env::var("PIPERUN_BOT_USERNAME")
.expect("PIPERUN_BOT_USERNAME has not been set!"),
piperun_password: env::var("PIPERUN_BOT_PASSWORD")
.expect("PIPERUN_BOT_PASSWORD has not been set!"),
bot_email: env::var("BOT_EMAIL")
.expect("BOT_EMAIL has not been set!"),
bot_email_password: env::var("BOT_EMAIL_PASSWORD")
.expect("BOT_EMAIL_PASSWORD has not been set!"),
min_messages: env::var("MINIMUM_NUMBER_OF_MESSAGES_TO_EVALUATE")
.expect("MINIMUM_NUMBER_OF_MESSAGES_TO_EVALUATE has not been set!")
.parse::<usize>()
.unwrap_or(10),
min_agent_messages: env::var("MINIMUM_NUMBER_OF_MESSAGES_WITH_AGENT_TO_EVALUATE")
.expect("MINIMUM_NUMBER_OF_MESSAGES_WITH_AGENT_TO_EVALUATE has not been set!")
.parse::<usize>()
.unwrap_or(12),
})
}
pub fn print_config(&self) {
println!("OLLAMA_URL: {}", self.ollama_url);
println!("OLLAMA_PORT: {}", self.ollama_port);
println!("OLLAMA_AI_MODEL: {}", self.ollama_model);
println!("PIPERUN_API_URL: {}", self.piperun_api_url);
println!("PIPERUN_CLIENT_ID: {}", self.piperun_client_id);
println!("PIPERUN_CLIENT_SECRET: {}", self.piperun_client_secret);
println!("PIPERUN_BOT_USERNAME: {}", self.piperun_username);
println!("PIPERUN_BOT_PASSWORD: {}", self.piperun_password);
}
}

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use anyhow::{anyhow, Result};
use chrono::{Duration, Local, NaiveDate, NaiveDateTime, Timelike};
pub struct DateRange {
pub date_str: String, // "YYYY-MM-DD"
pub start_datetime: String, // "YYYY-MM-DD HH:MM"
pub end_datetime: String, // "YYYY-MM-DD HH:MM"
}
/// Retorna o intervalo do dia anterior ao atual (meia-noite até 23:59:59)
pub fn get_previous_date_range() -> Result<DateRange> {
let now = Local::now();
let yesterday = now
.checked_sub_signed(Duration::days(1))
.expect("Failed to subtract one day");
let start = yesterday
.with_hour(0)
.and_then(|d| d.with_minute(0))
.and_then(|d| d.with_second(0))
.expect("Failed to set time to 00:00:00");
let end = yesterday
.with_hour(23)
.and_then(|d| d.with_minute(59))
.and_then(|d| d.with_second(59))
.expect("Failed to set time to 23:59:59");
let date_str = yesterday.format("%Y-%m-%d").to_string();
let start_str = start.format("%Y-%m-%d %H:%M").to_string();
let end_str = end.format("%Y-%m-%d %H:%M").to_string();
Ok(DateRange {
date_str,
start_datetime: start_str,
end_datetime: end_str,
})
}
/// Constrói o DateRange a partir de uma data (meia-noite)
fn build_date_range(date: NaiveDateTime) -> Result<DateRange> {
let start = date;
let end = date
.with_hour(23)
.and_then(|d| d.with_minute(59))
.and_then(|d| d.with_second(59))
.ok_or_else(|| anyhow!("Falha ao definir horário de fim do dia"))?;
let date_str = date.format("%Y-%m-%d").to_string();
let start_str = start.format("%Y-%m-%d %H:%M").to_string();
let end_str = end.format("%Y-%m-%d %H:%M").to_string();
Ok(DateRange {
date_str,
start_datetime: start_str,
end_datetime: end_str,
})
}
pub fn parse_date_arg(arg: &str) -> Result<DateRange> {
let naive = NaiveDate::parse_from_str(arg, "%Y-%m-%d")
.map_err(|_| anyhow!("Formato inválido"))?;
let date = naive.and_hms_opt(0, 0, 0).unwrap();
build_date_range(date)
}
/// Cria o diretório de saída e o arquivo response_time.csv vazio (se não existir)
pub fn setup_output_directory(dir_path: &str) -> Result<()> {
if !std::fs::exists(dir_path)? {
std::fs::create_dir_all(dir_path)?;
}
let csv_path = format!("{}/response_time.csv", dir_path);
if !std::fs::exists(&csv_path)? {
let _ = std::fs::File::create_new(&csv_path)
.expect("Failed to create response_time.csv");
}
Ok(())
}

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mod funcoes;
use funcoes::config::AppConfig;
use funcoes::date_utils;
use funcoes::ollama;
use funcoes::piperun;
use funcoes::send_mail_util;
use funcoes::zip_directory_util;
use anyhow::Result;
use reqwest::blocking::Client;
fn main() -> Result<()> {
// 1. Carregar configuração
let config = AppConfig::from_env()?;
config.print_config();
// 2. Cliente HTTP
let client = Client::new();
// 3. Autenticar na Piperun
let access_token = piperun::authenticate(&client, &config)?;
println!("Autenticado com sucesso!");
// 4. Coletar argumentos
let args: Vec<String> = std::env::args().collect();
let mut idx = 1; // índice atual
// Data (opcional)
let date_range = if args.len() > 1 {
match date_utils::parse_date_arg(&args[1]) {
Ok(dr) => {
idx = 2;
dr
}
Err(_) => {
eprintln!("Aviso: argumento de data inválido, usando dia anterior.");
date_utils::get_previous_date_range()?
}
}
} else {
date_utils::get_previous_date_range()?
};
println!("Processando dia: {}", date_range.date_str);
// Parâmetros obrigatórios: QUEUE_ID PROMPT_FILE FILTER_FILE MIN_AGENT_MSGS FOLDER_NAME EMAILS
let expected_min = if idx == 2 { 7 } else { 6 };
if args.len() < idx + expected_min {
eprintln!("Uso: cargo run -- [DATA] QUEUE_ID PROMPT_FILE FILTER_FILE MIN_AGENT_MSGS FOLDER_NAME EMAILS");
eprintln!(" DATA (opcional) - YYYY-MM-DD");
eprintln!(" Exemplo: cargo run -- 2026-07-12 19 prompts/PROMPT_NOC-CLI.txt filters/FILTER_NOC-CLI.txt 10 evaluations_noc-cli nicolas@nova.net,wilson@nova.net");
std::process::exit(1);
}
let queue_id = &args[idx];
let prompt_file = &args[idx+1];
let filter_file = &args[idx+2];
let min_agent_msgs: usize = args[idx+3].parse().expect("MIN_AGENT_MSGS deve ser um número");
let folder_name = &args[idx+4];
let emails = &args[idx+5];
println!("Queue ID: {}", queue_id);
println!("Prompt file: {}", prompt_file);
println!("Filter file: {}", filter_file);
println!("Min agent messages: {}", min_agent_msgs);
println!("Folder name: {}", folder_name);
println!("E-mails: {}", emails);
// 5. Preparar diretório de saída
let output_dir = format!("./evaluations/{}/{}", folder_name, date_range.date_str);
date_utils::setup_output_directory(&output_dir)?;
// 6. Carregar prompt e filtros
let prompt = std::fs::read_to_string(prompt_file)?;
let filter_content = std::fs::read_to_string(filter_file).unwrap_or_default();
let filter_keywords: Vec<String> = filter_content
.split('\n')
.filter(|s| !s.is_empty())
.map(|s| s.to_string())
.collect();
// 7. Buscar talks
let talks = piperun::fetch_talks(
&client,
&access_token,
&config,
&date_range.start_datetime,
&date_range.end_datetime,
queue_id,
)?;
println!("Total de talks encontrados: {}", talks.len());
let talk_ids = piperun::extract_talk_ids(&talks);
// 8. Processar chats
let (valid_chats, response_time_csv) = piperun::process_all_chats(
talk_ids,
&client,
&access_token,
&config,
&filter_keywords,
min_agent_msgs,
)?;
println!("Chats válidos após filtros: {}", valid_chats.len());
// 9. Salvar CSV de tempos
let header = "NOME;ID_TALK;TEMPO DE RESPOSTA;TRANFERENCIA PELO BOT;PRIMEIRA RESPOSTA DO AGENTE";
let response_time_path = format!("{}/response_time.csv", output_dir);
std::fs::write(&response_time_path, format!("{}\n{}", header, response_time_csv))?;
// 10. Avaliar com Ollama
for chat in &valid_chats {
match ollama::evaluate_chat(&client, &config, chat, &prompt) {
Ok(csv) => {
// Reconstroi o talk_text
let histories = chat["talk_histories"]
.as_array()
.or_else(|| chat["talk_histories"]["data"].as_array())
.expect("histories array");
let talk_text = histories
.iter()
.rev()
.map(|msg| {
format!(
"message: {}, sent_at: {}, type: {}, user_name: {}",
msg["message"],
msg["sent_at"],
msg["type"],
msg["user"]["name"]
)
})
.collect::<Vec<_>>()
.join("\n");
if let Err(e) = ollama::save_evaluation_result(
chat,
&csv,
&prompt,
&talk_text,
&output_dir,
) {
eprintln!("Erro ao salvar resultado: {}", e);
}
}
Err(e) => {
eprintln!("Erro ao avaliar chat com Ollama: {}", e);
}
}
}
// 11. Compactar e enviar e-mail
let zip_file = format!("{}.zip", output_dir);
zip_directory_util::zip_directory_util::zip_source_dir_to_dst_file(
std::path::Path::new(&output_dir),
std::path::Path::new(&zip_file),
);
println!("Enviando e-mail para {}", emails);
send_mail_util::send_mail_util::send_email(
&format!(
"Avaliação fila {} do dia {}",
queue_id,
date_range.date_str
),
&config.bot_email,
&config.bot_email_password,
emails,
&zip_file,
);
println!("Processamento finalizado para a fila {}", queue_id);
Ok(())
}

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pub mod config;
pub mod date_utils;
pub mod ollama;
pub mod piperun;
pub mod send_mail_util;
pub mod zip_directory_util;

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use anyhow::{anyhow, Result};
use reqwest::blocking::Client;
use serde_json::Value;
use std::time::Duration;
use crate::funcoes::config::AppConfig;
pub fn evaluate_chat(
client: &Client,
config: &AppConfig,
chat_json: &Value,
prompt: &str,
) -> Result<String> {
let histories = chat_json["talk_histories"]
.as_array()
.or_else(|| chat_json["talk_histories"]["data"].as_array())
.ok_or_else(|| anyhow!("Missing talk_histories array"))?;
let talk_text = histories
.iter()
.rev()
.map(|msg| {
format!(
"message: {}, sent_at: {}, type: {}, user_name: {}",
msg["message"],
msg["sent_at"],
msg["type"],
msg["user"]["name"]
)
})
.collect::<Vec<_>>()
.join("\n");
let full_prompt = format!("{}\n{}", prompt, talk_text);
let sanitized_ip = if config.ollama_url.contains(':') && !config.ollama_url.starts_with('[') {
format!("[{}]", config.ollama_url)
} else {
config.ollama_url.clone()
};
let url = format!("http://{}:{}/api/generate", sanitized_ip, config.ollama_port);
let body = serde_json::json!({
"model": config.ollama_model,
"prompt": full_prompt,
"stream": false,
});
let resp = client
.post(&url)
.body(body.to_string())
.timeout(Duration::from_secs(3600))
.send()?;
if !resp.status().is_success() {
return Err(anyhow!(
"Ollama request failed: status {}",
resp.status()
));
}
let json: Value = resp.json()?;
let ai_response = json["response"]
.as_str()
.ok_or_else(|| anyhow!("Missing 'response' field in Ollama reply"))?
.to_string();
let csv = ai_response
.replace("```csv\n", "")
.replace("```", "")
.trim()
.to_string();
Ok(csv)
}
pub fn save_evaluation_result(
chat_json: &Value,
csv_response: &str,
prompt: &str,
talk_text: &str,
output_dir: &str,
) -> Result<()> {
let user_name = chat_json["agent"]["user"]["name"]
.as_str()
.unwrap_or("unknown_user");
let talk_id = chat_json["id"].as_u64().unwrap_or(0);
let tracking = chat_json["tracking_number"].as_str().unwrap_or("");
let base_name = format!("{} - {} - {}", user_name, talk_id, tracking);
let csv_path = format!("{}/{}.csv", output_dir, base_name);
std::fs::write(&csv_path, csv_response)?;
let prompt_path = format!("{}/{} - prompt.txt", output_dir, base_name);
std::fs::write(&prompt_path, format!("{}\n{}", prompt, talk_text))?;
Ok(())
}

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@@ -1,329 +0,0 @@
use anyhow::{anyhow, Result};
use reqwest::blocking::Client;
use serde_json::Value;
use crate::funcoes::config::AppConfig;
// ------------------------------
// Funções públicas
// ------------------------------
pub fn authenticate(client: &Client, config: &AppConfig) -> Result<String> {
let url = format!("https://{}/oauth/token", config.piperun_api_url);
let body = serde_json::json!({
"grant_type": "password",
"client_id": config.piperun_client_id,
"client_secret": config.piperun_client_secret,
"username": config.piperun_username,
"password": config.piperun_password,
});
let resp = client
.post(&url)
.header("Content-Type", "application/json")
.header("Accept", "application/json")
.body(body.to_string())
.send()?;
let status = resp.status();
if !status.is_success() {
let error_body: Value = resp.json()?;
return Err(anyhow!(
"Authentication failed: status {}; body: {:?}",
status,
error_body
));
}
let json: Value = resp.json()?;
let token = json["access_token"]
.as_str()
.ok_or_else(|| anyhow!("Access token not found in response"))?
.to_string();
Ok(token)
}
pub fn fetch_talks(
client: &Client,
access_token: &str,
config: &AppConfig,
start_date: &str,
end_date: &str,
queue_id: &str,
) -> Result<Vec<Value>> {
let per_page = "15".to_string();
let report_type = "consolidated".to_string();
let mut all_talks = Vec::new();
let mut current_page = 1;
let mut last_page = 1;
loop {
let url = format!("https://{}/api/v2/reports/talks", config.piperun_api_url);
let resp = client
.get(&url)
.bearer_auth(access_token)
.header("Content-Type", "application/json")
.header("Accept", "application/json")
.query(&[
("page", current_page.to_string()),
("perPage", per_page.clone()),
("report_type", report_type.clone()),
("start_date", start_date.to_string()),
("end_date", end_date.to_string()),
("date_range_type", "talk_start".to_string()),
("queue_id[]", queue_id.to_string()),
])
.send()?;
let status = resp.status();
if !status.is_success() {
let error_body: Value = resp.json()?;
return Err(anyhow!(
"Failed to fetch talks: status {}; body: {:?}",
status,
error_body
));
}
let json: Value = resp.json()?;
let data = json["data"]
.as_array()
.ok_or_else(|| anyhow!("Missing 'data' array in response"))?
.clone();
all_talks.extend(data);
last_page = json["last_page"]
.as_i64()
.ok_or_else(|| anyhow!("Missing 'last_page'"))? as i32;
let current = json["current_page"]
.as_i64()
.ok_or_else(|| anyhow!("Missing 'current_page'"))? as i32;
if current >= last_page {
break;
}
current_page = current + 1;
}
Ok(all_talks)
}
pub fn extract_talk_ids(talks: &[Value]) -> Vec<String> {
talks
.iter()
.filter_map(|talk| talk["id"].as_i64().map(|id| id.to_string()))
.collect()
}
pub fn process_all_chats(
talk_ids: Vec<String>,
client: &Client,
access_token: &str,
config: &AppConfig,
filter_keywords: &[String],
min_agent_msgs: usize,
) -> Result<(Vec<Value>, String)> {
let mut valid_chats = Vec::new();
let mut response_lines = Vec::new();
for talk_id in talk_ids {
let history_json = match fetch_talk_history(client, access_token, config, &talk_id) {
Ok(j) => j,
Err(e) => {
eprintln!("Erro ao buscar histórico do talk {}: {}", talk_id, e);
continue;
}
};
let filtered = match filter_chat(&history_json, filter_keywords, config.min_messages, min_agent_msgs) {
Some(v) => v,
None => continue,
};
if let Some(line) = compute_response_time(&filtered) {
response_lines.push(line);
}
valid_chats.push(filtered);
}
let response_csv = response_lines.join("\n");
Ok((valid_chats, response_csv))
}
// ------------------------------
// Funções auxiliares privadas
// ------------------------------
fn fetch_talk_history(
client: &Client,
access_token: &str,
config: &AppConfig,
talk_id: &str,
) -> Result<Value> {
let url = format!("https://{}/api/talk_histories", config.piperun_api_url);
let resp = client
.get(&url)
.bearer_auth(access_token)
.header("Content-Type", "application/json")
.header("Accept", "application/json")
.query(&[
("talk_id", talk_id.to_string()),
("type", "a".to_string()),
("only_view", "1".to_string()),
])
.send()?;
let status = resp.status();
if !status.is_success() {
return Err(anyhow!(
"Failed to fetch history for talk {}: status {}",
talk_id,
status
));
}
let json: Value = resp.json()?;
Ok(json)
}
fn filter_chat(
chat_json: &Value,
filter_keywords: &[String],
min_messages: usize,
min_agent_msgs: usize,
) -> Option<Value> {
let histories = extract_histories_array(chat_json)?;
if histories.len() < min_messages {
println!("Descartado - Chat com poucas mensagens.");
return None;
}
let found = histories.iter().enumerate().find(|(_, msg)| {
let message = msg["message"].as_str().unwrap_or("");
let is_template = msg["is_template"].as_bool().unwrap_or(false);
let is_transfer = message.contains(
"Atendimento transferido para a fila [NovaNet -> Atendimento -> NOC",
);
is_transfer || is_template
});
let (pos, _) = match found {
Some(p) => p,
None => {
println!("Descartado - Não encontrou transferência ou template.");
return None;
}
};
if pos < min_agent_msgs {
println!("Descartado - Poucas mensagens com agente após transferência.");
return None;
}
if chat_json["finished_at"].is_null() {
println!("Descartado - Chat não finalizado.");
return None;
}
if chat_json["agent"]["user"]["name"]
.as_str()
.unwrap_or("")
== "PipeBot"
{
println!("Descartado - Chat finalizado pelo PipeBot.");
return None;
}
let has_keyword = histories.iter().any(|msg| {
let text = msg["message"].as_str().unwrap_or("");
filter_keywords
.iter()
.any(|kw| text.to_uppercase().contains(&kw.to_uppercase()))
});
if has_keyword {
println!("Descartado - Contém palavra do filtro.");
return None;
}
Some(chat_json.clone())
}
fn compute_response_time(chat_json: &Value) -> Option<String> {
let histories = extract_histories_array(chat_json)?;
let trigger = histories.iter().enumerate().rev().find(|(_, msg)| {
let is_template = msg["is_template"].as_bool().unwrap_or(false);
let user = msg["user"]["name"].as_str().unwrap_or("");
let message = msg["message"].as_str().unwrap_or("");
let is_transfer = user == "PipeBot"
&& message.contains("Atendimento entregue da fila de espera para o agente [NOC");
is_template || is_transfer
});
let (trigger_pos, trigger_msg) = trigger?;
let is_transfer_case = {
let user = trigger_msg["user"]["name"].as_str().unwrap_or("");
let message = trigger_msg["message"].as_str().unwrap_or("");
user == "PipeBot"
&& message.contains("Atendimento entregue da fila de espera para o agente [NOC")
};
let (ref_pos, ref_msg) = if is_transfer_case {
(trigger_pos, trigger_msg)
} else {
if trigger_pos == 0 {
return None;
}
(trigger_pos - 1, &histories[trigger_pos - 1])
};
let agent_msg = (0..ref_pos).rev().find_map(|i| {
let m = &histories[i];
if m["type"].as_str() == Some("out")
&& m["user"]["name"]
.as_str()
.map_or(false, |name| name.starts_with("NOC -"))
{
Some(m)
} else {
None
}
})?;
let format = "%Y-%m-%d %H:%M:%S";
let t_ref = chrono::NaiveDateTime::parse_from_str(
ref_msg["sent_at"].as_str()?,
format,
)
.ok()?;
let t_agent = chrono::NaiveDateTime::parse_from_str(
agent_msg["sent_at"].as_str()?,
format,
)
.ok()?;
let response_time = (t_agent - t_ref).num_seconds() as f32;
let name = agent_msg["user"]["name"].as_str().unwrap_or("").to_owned();
let id = chat_json["tracking_number"].as_str().unwrap_or("").to_owned();
let ref_date = ref_msg["sent_at"].as_str().unwrap_or("").to_owned();
let agent_date = agent_msg["sent_at"].as_str().unwrap_or("").to_owned();
Some(format!(
"{};{};{};{};{}",
name, id, response_time, ref_date, agent_date
))
}
fn extract_histories_array(chat_json: &Value) -> Option<&[Value]> {
chat_json["talk_histories"]
.as_array()
.or_else(|| chat_json["talk_histories"]["data"].as_array())
.map(|v| &**v) // <-- conversão de &Vec<Value> para &[Value]
}

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@@ -1,46 +0,0 @@
pub mod send_mail_util {
use lettre::{
Message, SmtpTransport, Transport,
message::{self, Attachment, Mailboxes, MultiPart, SinglePart, header::ContentType},
};
pub fn send_email(
subject_of_email: &str,
bot_email: &str,
bot_email_password: &str,
to: &str,
zip_file_name: &str,
) {
let filebody = std::fs::read(zip_file_name).unwrap();
let content_type = ContentType::parse("application/zip").unwrap();
let attachment = Attachment::new(zip_file_name.to_string()).body(filebody, content_type);
let mailboxes: Mailboxes = to.parse().unwrap();
let to_header: message::header::To = mailboxes.into();
let email = Message::builder()
.from(format!("PipeRUN bot <{bot_email}>").parse().unwrap())
.reply_to(format!("PipeRUN bot <{bot_email}>").parse().unwrap())
.mailbox(to_header)
.subject(format!("{subject_of_email}"))
.multipart(
MultiPart::mixed()
.singlepart(
SinglePart::builder()
.header(ContentType::TEXT_PLAIN)
.body(String::from("Avaliacao dos atendimentos")),
)
.singlepart(attachment),
)
.unwrap();
// Create the SMTPS transport
let sender = SmtpTransport::from_url(&format!(
"smtps://{bot_email}:{bot_email_password}@mail.nova.net.br"
))
.unwrap()
.build();
// Send the email via remote relay
sender.send(&email).unwrap();
}
}

View File

@@ -1,69 +0,0 @@
pub mod zip_directory_util {
use std::io::prelude::*;
use zip::write::SimpleFileOptions;
use std::fs::File;
use std::path::Path;
use walkdir::{DirEntry, WalkDir};
fn zip_dir<T>(
it: &mut dyn Iterator<Item = DirEntry>,
prefix: &Path,
writer: T,
method: zip::CompressionMethod,
) where
T: Write + Seek,
{
let mut zip = zip::ZipWriter::new(writer);
let options = SimpleFileOptions::default()
.compression_method(method)
.unix_permissions(0o755);
let prefix = Path::new(prefix);
let mut buffer = Vec::new();
for entry in it {
let path = entry.path();
let name = path.strip_prefix(prefix).unwrap();
let path_as_string = name
.to_str()
.map(str::to_owned)
.expect("Failed to parse path");
// Write file or directory explicitly
// Some unzip tools unzip files with directory paths correctly, some do not!
if path.is_file() {
println!("adding file {path:?} as {name:?} ...");
zip.start_file(path_as_string, options)
.expect("Failed to add file");
let mut f = File::open(path).unwrap();
f.read_to_end(&mut buffer).expect("Failed to read file");
zip.write_all(&buffer).expect("Failed to write file");
buffer.clear();
} else if !name.as_os_str().is_empty() {
// Only if not root! Avoids path spec / warning
// and mapname conversion failed error on unzip
println!("adding dir {path_as_string:?} as {name:?} ...");
zip.add_directory(path_as_string, options)
.expect("Failed to add directory");
}
}
zip.finish().expect("Failed to ZIP");
}
pub fn zip_source_dir_to_dst_file(src_dir: &Path, dst_file: &Path) {
if !Path::new(src_dir).is_dir() {
panic!("src_dir must be a directory");
}
let method = zip::CompressionMethod::Stored;
let path = Path::new(dst_file);
let file = File::create(path).unwrap();
let walkdir = WalkDir::new(src_dir);
let it = walkdir.into_iter();
zip_dir(&mut it.filter_map(|e| e.ok()), src_dir, file, method);
}
}

View File

@@ -1,7 +0,0 @@
OLLAMA_URL=localhost
OLLAMA_PORT=11432
PIPERUN_API_URL=novanet.cxm.pipe.run
PIPERUN_CLIENT_ID=0
PIPERUN_CLIENT_SECRET=
PIPERUN_BOT_USERNAME=
PIPERUN_BOT_PASSWORD=

View File

@@ -1,493 +0,0 @@
use std::fmt::Debug;
use itertools::Itertools;
use polars::prelude::*;
use reqwest;
use std::env;
use std::time::Duration;
use csv;
pub mod send_mail_util;
pub mod zip_directory_util;
#[derive(Debug, serde::Deserialize)]
struct CsvHeader {
CATEGORIA: String,
PONTOS: Option<u8>,
}
#[derive(Debug, serde::Deserialize)]
struct CsvEvaluation {
APRESENTAÇÃO: u8,
CONFIRMAÇÃO_DE_EMAIL: u8,
CONFIRMAÇÃO_DE_TELEFONE: u8,
PROTOCOLO: u8,
USO_DO_PORTUGUÊS: u8,
PACIÊNCIA_E_EDUCAÇÃO: u8,
DISPONIBILIDADE: u8,
CONHECIMENTO_TÉCNICO: u8,
DIDATISMO: u8,
ID_TALK: String,
}
//inclusão de estrutura para agrupar o response_time.cvs
#[derive(Debug, serde::Deserialize)]
struct ResponseTimeRecord {
NOME: String,
ID_TALK: String,
#[serde(rename = "TEMPO DE RESPOSTA")]
TEMPO_DE_RESPOSTA: u32,
#[serde(rename = "TRANFERENCIA PELO BOT")]
TRANFERENCIA_PELO_BOT: String,
#[serde(rename = "PRIMEIRA RESPOSTA DO AGENTE")]
PRIMEIRA_RESPOSTA_DO_AGENTE: String,
}
//fim da inclusão
fn main() {
match dotenv::dotenv().ok() {
Some(_) => println!("Environment variables loaded from .env file"),
None => eprintln!("Failed to load .env file, using defaults"),
}
// Read environment variables
let OLLAMA_URL = env::var("OLLAMA_URL").unwrap_or("localhost".to_string());
let OLLAMA_PORT = env::var("OLLAMA_PORT")
.unwrap_or("11432".to_string())
.parse::<u16>()
.unwrap_or(11432);
let OLLAMA_AI_MODEL_DATA_SANITIZATION = env::var("OLLAMA_AI_MODEL_DATA_SANITIZATION")
.expect("Missing environment variable OLLAMA_AI_MODEL_DATA_SANITIZATION");
let BOT_EMAIL = env::var("BOT_EMAIL").expect("BOT_EMAIL has not been set!");
let BOT_EMAIL_PASSWORD =
env::var("BOT_EMAIL_PASSWORD").expect("BOT_EMAIL_PASSWORD has not been set!");
let ip_address = ipaddress::IPAddress::parse(OLLAMA_URL.to_string());
let OLLAMA_SANITIZED_IP = match ip_address {
Ok(ip) => {
if ip.is_ipv4() {
OLLAMA_URL.clone()
} else {
format!("[{}]", OLLAMA_URL.clone())
}
}
Err(e) => OLLAMA_URL.clone(),
};
// Get the current day in the format YYYY-MM-DD
let current_date = chrono::Local::now();
let formatted_date = current_date.format("%Y-%m-%d").to_string();
let current_date = chrono::Local::now();
let first_day_of_current_week = current_date
.date_naive()
.week(chrono::Weekday::Sun)
.first_day();
let current_date_minus_one_week = first_day_of_current_week
.checked_sub_days(chrono::Days::new(1))
.expect("Failed to subtract one day");
let first_day_of_last_week = current_date_minus_one_week
.week(chrono::Weekday::Sun)
.first_day();
let last_day_of_last_week = current_date_minus_one_week
.week(chrono::Weekday::Sun)
.last_day();
let previous_week_folder_names = std::fs::read_dir(std::path::Path::new("./evaluations"))
.expect("Failed to read directory ./evaluations")
.filter_map_ok(|entry| {
if entry.metadata().unwrap().is_dir() {
Some(entry.file_name())
} else {
None
}
})
.filter_map_ok(|entry_string_name| {
let regex_match_date =
regex::Regex::new(r"(\d{4}-\d{2}-\d{2})").expect("Failed to build regex");
let filename = entry_string_name.to_str().unwrap();
let matches_find = regex_match_date.find(filename);
match matches_find {
Some(found) => {
let date = chrono::NaiveDate::parse_from_str(found.as_str(), "%Y-%m-%d");
return Some((date.unwrap().week(chrono::Weekday::Sun), entry_string_name));
}
None => {
return None;
}
};
})
.filter_map_ok(|(week, directory_string)| {
let first_day_of_week_in_folder_name = week.first_day();
if first_day_of_last_week == first_day_of_week_in_folder_name {
return Some(directory_string);
}
return None;
})
.filter_map(|value| {
if value.is_ok() {
return Some(value.unwrap());
} else {
return None;
}
})
.sorted()
.collect_vec();
println!("{:?}", previous_week_folder_names);
let prompt_data_sanitization = std::fs::read_to_string("./PROMPT_DATA_SANITIZATION.txt")
.expect("Failed to read PROMPT_DATA_SANITIZATION.txt");
let client = reqwest::blocking::Client::new();
let groupped_values = previous_week_folder_names
.iter()
.map(|folder_name| {
let folder_base_path = std::path::Path::new("./evaluations");
let folder_date_path = folder_base_path.join(folder_name);
std::fs::read_dir(folder_date_path)
})
.filter_map_ok(|files_inside_folder_on_date| {
let groupped_by_user_on_day = files_inside_folder_on_date
.filter_ok(|entry| {
let entry_file_name_as_str = entry
.file_name()
.into_string()
.expect("Failed to get filename as a String");
entry_file_name_as_str.ends_with(".csv")
&& !entry_file_name_as_str.contains("response_time.csv")
})
.filter_map(|value| {
if value.is_ok() {
return Some(value.unwrap());
}
None
})
.map(|file_name_csv| {
println!("{:?}", file_name_csv.path());
let file_contents = std::fs::read_to_string(file_name_csv.path())
.expect("Failed to read CSV file");
let ollama_api_request = client
.post(format!(
"http://{OLLAMA_SANITIZED_IP}:{OLLAMA_PORT}/api/generate"
))
.body(
serde_json::json!({
"model": OLLAMA_AI_MODEL_DATA_SANITIZATION,
"prompt": format!("{prompt_data_sanitization} \n{file_contents}"),
"temperature": 0.0, // Get predictable and reproducible output
"stream": false,
})
.to_string(),
);
let result = ollama_api_request.timeout(Duration::from_secs(3600)).send();
match result {
Ok(response) => {
println!("Response: {:?}", response);
let response_json = response
.json::<serde_json::Value>()
.expect("Failed to deserialize response to JSON");
let ai_response = response_json["response"]
.as_str()
.expect("Failed to get AI response as string");
let ai_response = ai_response.to_string();
let ai_response = if let Some(resp) = ai_response
.strip_prefix(" ")
.unwrap_or(&ai_response)
.strip_prefix("```csv\n")
{
resp.to_string()
} else {
ai_response
};
let ai_response = if let Some(resp) = ai_response
.strip_suffix(" ")
.unwrap_or(&ai_response)
.strip_suffix("```")
{
resp.to_string()
} else {
ai_response
};
return Ok((ai_response, file_name_csv));
}
Err(error) => {
println!("Error {error}");
return Err(error);
}
};
})
.filter_map_ok(|(ai_repsonse, file_path_csv)| {
let mut reader = csv::ReaderBuilder::new()
.has_headers(true)
.delimiter(b';')
.from_reader(ai_repsonse.as_bytes());
let mut deserialized_iter = reader.deserialize::<CsvHeader>();
let mut columns = deserialized_iter
.filter_ok(|value| value.PONTOS.is_some())
.map_ok(|value| {
let col =
Column::new(value.CATEGORIA.into(), [value.PONTOS.unwrap() as u32]);
col
})
.filter_map(|value| {
if value.is_ok() {
return Some(value.unwrap());
}
None
})
.collect_vec();
if columns.len() != 9 {
return None;
}
// Parse id talk from file_path
// filename example is: FIN - Lais Mota - 515578 - 20251020515578.csv
// id talk is the last information, so in the example is: 20251020515578
let regex_filename =
//regex::Regex::new(r"(FIN - )((\s*\w+\s*)+) - (\d+) - (\d+).csv").unwrap();
let filename = file_path_csv
.file_name()
.into_string()
.expect("Failed to convert file name as Rust &str");
let found_regex_groups_in_filename = regex_filename
.captures(filename.as_str())
.expect("Failed to do regex capture");
let user_name = found_regex_groups_in_filename
.get(2)
.expect("Failed to get the id from regex maches");
let talk_id = found_regex_groups_in_filename
.get(5)
.expect("Failed to get the id from regex maches");
let excelence_percentual = columns
.iter()
.map(|col| col.as_materialized_series().u32().unwrap().sum().unwrap())
.sum::<u32>() as f32
/ columns.iter().len() as f32
* 100.0;
columns.push(Column::new(
"PERCENTUAL DE EXELENCIA".into(),
[format!("{excelence_percentual:.2}")],
));
columns.push(Column::new("ID_TALK".into(), [talk_id.clone().as_str()]));
let df = polars::frame::DataFrame::new(columns)
.expect("Failed to concatenate into a dataframe");
// return a tuple with the dataframe and the user name, so it can be correctly merged after
return Some((user_name.as_str().to_owned(), df));
})
.filter_map(|res| {
if res.is_ok() {
return Some(res.unwrap());
}
return None;
})
.into_group_map()
.into_iter()
.map(|(name, eval_dataframe_vec)| {
let groupped_df = eval_dataframe_vec
.iter()
.cloned()
.reduce(|acc, e| acc.vstack(&e).unwrap())
.expect("Failed to concatenate dataframes");
(name, groupped_df)
})
.into_group_map();
dbg!(&groupped_by_user_on_day);
return Some(groupped_by_user_on_day);
})
.filter_map(|res| {
if res.is_ok() {
return Some(res.unwrap());
}
return None;
})
.reduce(|mut acc, mut e| {
e.iter_mut().for_each(|(key, val)| {
if acc.contains_key(key) {
acc.get_mut(key)
.expect("Failed to obtain key that should already be present")
.append(val);
} else {
acc.insert(key.to_owned(), val.to_owned());
}
});
acc
})
.and_then(|groupped_hashmap_df| {
let result = groupped_hashmap_df
.iter()
.map(|(key, val)| {
let dfs = val
.iter()
.cloned()
.reduce(|acc, e| acc.vstack(&e).unwrap())
.expect("Failed to concatenate dataframes");
(key.clone(), dfs)
})
.collect_vec();
return Some(result);
});
// Setup groupped folder
if !std::fs::exists(format!("./groupped/")).unwrap() {
std::fs::create_dir(format!("./groupped")).expect("Failed to create directory")
}
// Setup previous week folder
if !std::fs::exists(format!(
"./groupped/{first_day_of_last_week} - {last_day_of_last_week}"
))
.unwrap()
{
std::fs::create_dir(format!(
"./groupped/{first_day_of_last_week} - {last_day_of_last_week}"
))
.expect("Failed to create directory")
}
match groupped_values {
Some(mut val) => {
val.iter_mut().for_each(|(agent, groupped_evaluations)| {
let mut save_file_csv = std::fs::File::create(format!(
"./groupped/{first_day_of_last_week} - {last_day_of_last_week}/{agent}.csv"
))
.expect("Could not create csv file for saving");
CsvWriter::new(&mut save_file_csv)
.include_header(true)
.with_separator(b';')
.finish(groupped_evaluations)
.expect("Failed to save Groupped DataFrame to CSV File");
});
}
None => {}
}
//inclusão nova para agrupar o response_time.csv
// Processar response_time.csv separadamente
let response_times_data = previous_week_folder_names
.iter()
.map(|folder_name| {
let folder_base_path = std::path::Path::new("./evaluations");
let folder_date_path = folder_base_path.join(folder_name);
std::fs::read_dir(folder_date_path)
})
.filter_map_ok(|files_inside_folder_on_date| {
let response_time_files = files_inside_folder_on_date
.filter_ok(|entry| {
let entry_file_name_as_str = entry
.file_name()
.into_string()
.expect("Failed to get filename as a String");
entry_file_name_as_str.ends_with("response_time.csv")
})
.filter_map(|value| {
if value.is_ok() {
return Some(value.unwrap());
}
None
})
.map(|file_path| {
println!("Processing response time file: {:?}", file_path.path());
let mut rdr = csv::ReaderBuilder::new()
.delimiter(b';')
.has_headers(true)
.from_reader(std::fs::File::open(file_path.path()).unwrap());
let records: Vec<ResponseTimeRecord> = rdr
.deserialize()
.filter_map(Result::ok)
.collect();
records
})
.flat_map(|records| records)
.collect_vec();
Some(response_time_files)
})
.filter_map(|res| {
if res.is_ok() {
return Some(res.unwrap());
}
return None;
})
.flat_map(|records| records)
.collect_vec();
// Salvar response times consolidados
if !response_times_data.is_empty() {
let response_time_file_path = format!(
"./groupped/{first_day_of_last_week} - {last_day_of_last_week}/response_times_consolidated.csv"
);
let mut wtr = csv::WriterBuilder::new()
.delimiter(b';')
.from_path(response_time_file_path)
.expect("Failed to create response times CSV");
// Escrever cabeçalho
wtr.write_record(&["NOME", "ID_TALK", "TEMPO DE RESPOSTA", "TRANFERENCIA PELO BOT", "PRIMEIRA RESPOSTA DO AGENTE"])
.expect("Failed to write header");
for record in response_times_data {
wtr.write_record(&[
&record.NOME,
&record.ID_TALK,
&record.TEMPO_DE_RESPOSTA.to_string(),
&record.TRANFERENCIA_PELO_BOT,
&record.PRIMEIRA_RESPOSTA_DO_AGENTE,
]).expect("Failed to write record");
}
wtr.flush().expect("Failed to flush writer");
println!("Response times consolidated successfully!");
} else {
println!("No response time data found for the period.");
}
// --- FIM DA ADIÇÃO ---
//fim da inclusão
zip_directory_util::zip_directory_util::zip_source_dir_to_dst_file(
std::path::Path::new(&format!(
"./groupped/{first_day_of_last_week} - {last_day_of_last_week}"
)),
std::path::Path::new(&format!(
"./groupped/{first_day_of_last_week} - {last_day_of_last_week}.zip"
)),
);
let recipients = "Wilson da Conceição Oliveira <wilson.oliveira@nova.net.br>, nicolas.borges@nova.net.br";
println!("Trying to send mail... {recipients}");
send_mail_util::send_mail_util::send_email(
&format!(
"Relatório agrupado dos atendimentos da fila do Financeiro N2 - semana {first_day_of_last_week} - {last_day_of_last_week}"
),
&BOT_EMAIL,
&BOT_EMAIL_PASSWORD,
recipients,
&format!("./groupped/{first_day_of_last_week} - {last_day_of_last_week}.zip"),
);
}