Create workspace from previous implementation files

This commit is contained in:
2023-05-21 13:52:18 +02:00
parent b84f46ed57
commit a5976252e8
23 changed files with 1374 additions and 15 deletions

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@@ -3,6 +3,19 @@ name = "xyz-engine"
version = "0.1.0"
edition = "2021"
# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html
[[test]]
name = "all"
path = "test/all.rs"
[dependencies]
paho-mqtt = { workspace = true }
influxdb = { workspace = true }
tokio = { workspace = true }
dotenv = { workspace = true }
chrono = { workspace = true }
serde = { workspace = true }
serde_json = { workspace = true }
kairo-common = {path = "../kairo-common" }
itertools = "0.10.3"
futures = "0.3"

30
xyz-engine/src/handler.rs Normal file
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@@ -0,0 +1,30 @@
pub mod device {
use kairo_common::influxdb_models::BeaconMeasure;
use kairo_common::{unit_conversion::UnitsConversion, DeviceReport, MAC};
use crate::position_solver::solve_for;
pub async fn report(device_id: &str, payload: &str) {
if let Ok(device_report) = serde_json::from_str::<DeviceReport>(payload) {
// device_report.data.sort_by(|a, b| b.pwr.cmp(&a.pwr));
let mut count = 0;
for beacon in device_report.data.iter() {
let measure = BeaconMeasure::new(&beacon.beacon_id, beacon.rssi.dBm_to_W());
if (measure.write_for(device_id).await).is_ok() {
count += 1;
}
}
// If I added more than 3 valid measures it's worth to process the position
if count >= 3 {
let device_id = MAC::new(device_id);
tokio::spawn(async move {
let _r = solve_for(device_id).await;
});
}
} else {
println!("Unable to parse: {}", payload);
}
}
}

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@@ -1,3 +1,37 @@
fn main() {
println!("Hello, world!");
use futures::stream::StreamExt;
mod handler;
mod position_solver;
use kairo_common::helper::for_async::{
get_mqtt_cli_and_stream, mqtt_cli_reconnect, mqtt_subscribe,
};
#[tokio::main]
async fn main() {
let (mqtt_cli, mut stream) = get_mqtt_cli_and_stream().await;
let topic = "device/+/report";
println!("Subscribing to topic: {:?}", topic);
mqtt_subscribe(&mqtt_cli, topic).await;
while let Some(msg) = stream.next().await {
if let Some(msg) = msg {
// split the topic first
let topic: Vec<&str> = msg.topic().splitn(3, '/').collect();
match topic[0] {
"device" => match topic[2] {
"report" => handler::device::report(topic[1], &msg.payload_str()).await,
_ => println!("Unhandled topic for device: {}", topic[2]),
},
_ => println!("Unhandled topic: {}", msg.topic()),
}
} else {
// A "None" means we were disconnected. Try to reconnect...
mqtt_cli_reconnect(&mqtt_cli).await;
mqtt_subscribe(&mqtt_cli, topic).await;
}
}
}

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@@ -0,0 +1,169 @@
use itertools::Itertools;
use std::collections::HashMap;
use kairo_common::{
influxdb_models::{BeaconMeasure, KnownPosition},
Antenna, Point, MAC,
};
struct KnownDistance {
point: Point,
dist: f64,
}
pub async fn solve_for(device_id: MAC) -> Result<Point, ()> {
let antennas = anntennas_hashmap();
let measure = BeaconMeasure::get_for(device_id.as_str()).await.unwrap();
let known_distance = measure
.iter()
.filter_map(|m| {
if let Some(a) = antennas.get(&m.beacon_id) {
let kd = KnownDistance {
point: a.coord,
dist: a.get_distance_with_W(m.rssi),
};
Some(kd)
} else {
None
}
})
.collect::<Vec<KnownDistance>>();
let mut posible_positions = known_distance
.iter()
.permutations(3)
.filter_map(|per| trilat(per[0], per[1], per[2]))
.collect::<Vec<KnownDistance>>();
print!("Old len(): {} \t", posible_positions.len());
if let Some(last_position) = KnownPosition::get_last_for(device_id.as_str(), 2)
.await
.unwrap()
{
let last_position = Point::new(last_position.x, last_position.y);
posible_positions.retain(|p| last_position.distance_to(&p.point) < 3.0);
}
println!("New len(): {}", posible_positions.len());
let mut pos = Point::new(0.0, 0.0);
let mut divisor = 0.0;
for p in posible_positions.iter() {
pos.x += p.point.x / p.dist;
pos.y += p.point.y / p.dist;
divisor += 1.0 / p.dist;
}
pos /= divisor;
// println!("Pos: {}", pos);
let _r = KnownPosition::new(pos).write_for(device_id.as_str()).await;
Ok(pos)
}
fn trilat(a: &KnownDistance, b: &KnownDistance, c: &KnownDistance) -> Option<KnownDistance> {
#![allow(non_snake_case)]
let points = vec![a.point, b.point, c.point];
for &p in points.iter() {
if !p.is_valid() {
return None;
}
}
// We have two triangles that share a side,
// Da and Db are both a hypotenuse,
// h is the shared side
// D is the lineal sum of both coaxial sides.
// P
// /|\
// / | \
// Da/ |h \Db
// / | \
// / d1 | d2 \
// *-----------*
// A B => D = BA
let D = (b.point - a.point).module();
let d1 = (D.powi(2) + a.dist.powi(2) - b.dist.powi(2)) / (2.0 * D);
let h = f64::sqrt(a.dist.powi(2) - d1.powi(2));
if h.is_nan() {
return None;
}
// With points A and B, we can find the Position P, but we the fact is that there are
// two posible solutions, we build a rhombus with both posible P:
let D_ver = (b.point - a.point).as_versor().unwrap();
let mut upper = D_ver * a.dist;
let mut downer = D_ver * a.dist;
// we need to rotate that direction by alpha and -alpha
let alpha = f64::tan(h / d1);
upper.rotate_by(alpha);
downer.rotate_by(-alpha);
// Now we have two vectors with |Da| that point from A where the two posible positions are
let P = [a.point + upper, a.point + downer];
//Now we need to see which P[0] or P[1] is at distance Dc from pointC.
//But since all numbers we got (Da,Db and Dc) cointain a lot of error and noise
// we know that they won't be the same number so we need to pick the point that makes the distance to pointC the closest to Dc
let dist_to_C = [P[0].distance_to(&c.point), P[1].distance_to(&c.point)];
let error = [
f64::abs(dist_to_C[0] - c.dist),
f64::abs(dist_to_C[1] - c.dist),
];
if error[0] < error[1] {
Some(KnownDistance {
point: P[0],
dist: error[0],
})
} else {
Some(KnownDistance {
point: P[1],
dist: error[1],
})
}
}
fn anntennas_hashmap() -> HashMap<MAC, Antenna> {
let data = vec![
Antenna::new("e6:ad:0b:2e:d7:11", 30.0, Point::new(15.0, 15.0)),
Antenna::new("c2:b5:f5:cc:e6:88", 30.0, Point::new(15.0, -15.0)),
Antenna::new("e6:2e:e6:88:f5:cc", 30.0, Point::new(-15.0, 15.0)),
Antenna::new("c2:ad:0b:b5:11:d7", 30.0, Point::new(-15.0, -15.0)),
];
let mut map: HashMap<MAC, Antenna> = HashMap::new();
for a in data.iter() {
map.insert(a.id, a.clone());
}
map
}
#[test]
fn test_trilat() {
let a = KnownDistance {
dist: 6.3,
point: Point::new(0.0, 0.0),
};
let b = KnownDistance {
dist: 3.1,
point: Point::new(5.0, 6.5),
};
let c = KnownDistance {
dist: 5.5,
point: Point::new(9.0, 0.0),
};
let pos = trilat(&a, &b, &c).unwrap();
let expected = Point::new(5.0, 3.5);
assert!(f64::abs(pos.point.x - expected.x) < 0.5);
assert!(f64::abs(pos.point.y - expected.y) < 0.5);
}

1
xyz-engine/test/all.rs Normal file
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@@ -0,0 +1 @@