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|
//! This mainly concerns converting collected data into things that the canvas
//! can actually handle.
use crate::{
app::{
data_farmer,
data_harvester::{self, processes::ProcessHarvest},
App,
},
constants,
utils::gen_util::{get_exact_byte_values, get_simple_byte_values},
};
use constants::*;
use std::collections::HashMap;
#[derive(Default, Debug)]
pub struct ConvertedNetworkData {
pub rx: Vec<(f64, f64)>,
pub tx: Vec<(f64, f64)>,
pub rx_display: String,
pub tx_display: String,
pub total_rx_display: String,
pub total_tx_display: String,
}
#[derive(Clone, Default, Debug)]
pub struct ConvertedProcessData {
pub pid: u32,
pub name: String,
pub cpu_usage: f64,
pub mem_usage: f64,
pub group_pids: Vec<u32>,
}
#[derive(Clone, Default, Debug)]
pub struct ConvertedCpuData {
pub cpu_name: String,
pub cpu_data: Vec<CpuPoint>,
}
#[derive(Clone, Default, Debug)]
pub struct CpuPoint {
pub time: f64,
pub usage: f64,
}
impl From<CpuPoint> for (f64, f64) {
fn from(c: CpuPoint) -> (f64, f64) {
let CpuPoint { time, usage } = c;
(time, usage)
}
}
impl From<&CpuPoint> for (f64, f64) {
fn from(c: &CpuPoint) -> (f64, f64) {
let CpuPoint { time, usage } = c;
(*time, *usage)
}
}
pub fn update_temp_row(app: &App) -> Vec<Vec<String>> {
let mut sensor_vector: Vec<Vec<String>> = Vec::new();
let current_data = &app.data_collection;
let temp_type = &app.temperature_type;
if current_data.temp_harvest.is_empty() {
sensor_vector.push(vec!["No Sensors Found".to_string(), "".to_string()])
} else {
for sensor in ¤t_data.temp_harvest {
sensor_vector.push(vec![
sensor.component_name.to_string(),
(sensor.temperature.ceil() as u64).to_string()
+ match temp_type {
data_harvester::temperature::TemperatureType::Celsius => "C",
data_harvester::temperature::TemperatureType::Kelvin => "K",
data_harvester::temperature::TemperatureType::Fahrenheit => "F",
},
]);
}
}
sensor_vector
}
pub fn update_disk_row(current_data: &data_farmer::DataCollection) -> Vec<Vec<String>> {
let mut disk_vector: Vec<Vec<String>> = Vec::new();
for (itx, disk) in current_data.disk_harvest.iter().enumerate() {
let io_activity = if current_data.io_labels.len() > itx {
let converted_read = get_simple_byte_values(current_data.io_labels[itx].0, false);
let converted_write = get_simple_byte_values(current_data.io_labels[itx].1, false);
(
format!("{:.*}{}/s", 0, converted_read.0, converted_read.1),
format!("{:.*}{}/s", 0, converted_write.0, converted_write.1),
)
} else {
("0B/s".to_string(), "0B/s".to_string())
};
let converted_free_space = get_simple_byte_values(disk.free_space, false);
let converted_total_space = get_simple_byte_values(disk.total_space, false);
disk_vector.push(vec![
disk.name.to_string(),
disk.mount_point.to_string(),
format!(
"{:.0}%",
disk.used_space as f64 / disk.total_space as f64 * 100_f64
),
format!("{:.*}{}", 0, converted_free_space.0, converted_free_space.1),
format!(
"{:.*}{}",
0, converted_total_space.0, converted_total_space.1
),
io_activity.0,
io_activity.1,
]);
}
disk_vector
}
pub fn update_cpu_data_points(
show_avg_cpu: bool, current_data: &data_farmer::DataCollection,
) -> Vec<ConvertedCpuData> {
let mut cpu_data_vector: Vec<ConvertedCpuData> = Vec::new();
let current_time = current_data.current_instant;
let cpu_listing_offset = if show_avg_cpu { 0 } else { 1 };
for (time, data) in ¤t_data.timed_data_vec {
let time_from_start: f64 = (TIME_STARTS_FROM as f64
- current_time.duration_since(*time).as_millis() as f64)
.floor();
for (itx, cpu) in data.cpu_data.iter().enumerate() {
if !show_avg_cpu && itx == 0 {
continue;
}
// Check if the vector exists yet
let itx_offset = itx - cpu_listing_offset;
if cpu_data_vector.len() <= itx_offset {
cpu_data_vector.push(ConvertedCpuData::default());
cpu_data_vector[itx_offset].cpu_name = if show_avg_cpu && itx_offset == 0 {
"AVG".to_string()
} else {
current_data.cpu_harvest[itx].cpu_name.to_uppercase()
};
}
//Insert joiner points
for &(joiner_offset, joiner_val) in &cpu.1 {
let offset_time = time_from_start - joiner_offset as f64;
cpu_data_vector[itx_offset].cpu_data.push(CpuPoint {
time: offset_time,
usage: joiner_val,
});
}
cpu_data_vector[itx_offset].cpu_data.push(CpuPoint {
time: time_from_start,
usage: cpu.0,
});
}
}
cpu_data_vector
}
pub fn update_mem_data_points(current_data: &data_farmer::DataCollection) -> Vec<(f64, f64)> {
let mut result: Vec<(f64, f64)> = Vec::new();
let current_time = current_data.current_instant;
for (time, data) in ¤t_data.timed_data_vec {
let time_from_start: f64 = (TIME_STARTS_FROM as f64
- current_time.duration_since(*time).as_millis() as f64)
.floor();
//Insert joiner points
for &(joiner_offset, joiner_val) in &data.mem_data.1 {
let offset_time = time_from_start - joiner_offset as f64;
result.push((offset_time, joiner_val));
}
result.push((time_from_start, data.mem_data.0));
}
result
}
pub fn update_swap_data_points(current_data: &data_farmer::DataCollection) -> Vec<(f64, f64)> {
let mut result: Vec<(f64, f64)> = Vec::new();
let current_time = current_data.current_instant;
for (time, data) in ¤t_data.timed_data_vec {
let time_from_start: f64 = (TIME_STARTS_FROM as f64
- current_time.duration_since(*time).as_millis() as f64)
.floor();
//Insert joiner points
for &(joiner_offset, joiner_val) in &data.swap_data.1 {
let offset_time = time_from_start - joiner_offset as f64;
result.push((offset_time, joiner_val));
}
result.push((time_from_start, data.swap_data.0));
}
result
}
pub fn update_mem_labels(current_data: &data_farmer::DataCollection) -> (String, String) {
let mem_label = if current_data.memory_harvest.mem_total_in_mb == 0 {
"".to_string()
} else {
"RAM:".to_string()
+ &format!(
"{:3.0}%",
(current_data.memory_harvest.mem_used_in_mb as f64 * 100.0
/ current_data.memory_harvest.mem_total_in_mb as f64)
.round()
)
|