//! <p align="center">
//!     <img width="300" height="300" src=" 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//! </p>
//! <p align="center">
//!     <a href="https://github.com/BudiNverse/lta-rs">
//!         <img src="https://img.shields.io/badge/-lta--rs-blueviolet.svg?style=flat-square"/>
//!     </a>
//!     <a href="https://github.com/BudiNverse/lta-rs">
//!         <img src="https://img.shields.io/github/license/BudiNverse/lta-rs?style=flat-square"/>
//!     </a>
//!     <a href="https://crates.io/crates/lta">
//!         <img src="https://img.shields.io/crates/v/lta?style=flat-square"/>
//!     </a>
//!     <a href="https://travis-ci.com/BudiNverse/lta-rs">
//!         <img src="https://img.shields.io/travis/com/BudiNverse/lta-rs?style=flat-square"/>
//!     </a>
//!     <a href="https://github.com/BudiNverse/lta-rs">
//!         <img src="https://img.shields.io/badge/rust-1.3.6-blueviolet.svg?style=flat-square"/>
//!     </a>
//!     <a href="https://github.com/BudiNverse/lta-rs">
//!         <img src="https://img.shields.io/crates/d/lta?style=flat-square"/>
//!     </a>
//! </p>
//!
//!
//! # lta
//! lta-rs is a lta datamall client library written in pure safe rust. lta-rs is used to interact with the lta-datamall
//!
//! ## Design Decisions
//! - Made sure that Rust structs are as close to the original response as possible to make sure that people can reference the original docs if there are any issues
//! - Simple and no additional baggage. Only the client is included. E.g If anyone wants to add concurrency, they have to do it on their own
//! - Predictable API usage
//!
//! ## Usage
//! Put this in you `Cargo.toml`
//! ```toml
//! [dependencies]
//! lta = "0.3.0-async-preview-1"
//! ```
//!
//! Initialise API key
//! ```rust
//! extern crate lta;
//! use lta::prelude::*;
//! use lta::traffic::get_erp_rates;
//! use lta::lta_client::LTAClient;
//!
//! fn main() -> Result<()>{
//!     let api_key = std::env::var("API_KEY").unwrap();
//!     let client = LTAClient::with_api_key(api_key);
//!     let erp_rates: Vec<ErpRate> = get_erp_rates(&client)?;
//!     println!("{:?}", erp_rates);
//!     Ok(())
//! }
//! ```

extern crate chrono;
#[macro_use]
extern crate lazy_static;
extern crate regex;
pub extern crate reqwest;
extern crate serde;
extern crate tokio;

pub mod r#async;
pub mod bus;
pub mod bus_enums;
pub mod crowd;
pub mod lta_client;
pub mod taxi;
pub mod traffic;
pub mod train;
pub mod utils;

/// Necessary imports to use lts-rs. Prefer this over glob imports
pub mod prelude {
    pub use crate::bus::{
        bus_arrival::{ArrivalBusService, BusArrivalResp, NextBus},
        bus_routes::BusRoute,
        bus_services::{BusFreq, BusService},
        bus_stops::BusStop,
    };
    pub use crate::bus_enums::*;
    pub use crate::crowd::passenger_vol::VolType;
    pub use crate::taxi::taxi_avail::Coordinates as TaxiCoordinates;
    pub use crate::traffic::{
        bike_parking::BikeParking,
        carpark_avail::Carpark,
        erp_rates::ErpRate,
        est_travel_time::{EstTravelTime, Highway, HighwayDirection},
        faulty_traffic_lights::{FaultyTrafficLight, TechnicalAlarmType},
        road::{RoadDetails, RoadDetailsType},
        traffic_images::TrafficImage,
        traffic_incidents::{IncidentType, TrafficIncident},
        traffic_speed_bands::{RoadCategory, TrafficSpeedBand},
        vms_emas::VMS,
    };
    pub use crate::train::train_service_alert::TrainServiceAlert;
    pub use crate::utils::commons::{Client, Coordinates, Error, Location, Result};
}

#[cfg(test)]
mod tests {
    use std::env;
    use std::fmt::Debug;

    use crate::bus::get_arrival;
    use crate::traffic::get_carpark_avail;
    use crate::{
        bus, crowd,
        lta_client::LTAClient,
        r#async::{lta_client::LTAClient as AsyncLTAClient, prelude::*},
        taxi, traffic, train,
    };

    fn run_test_and_print<F, T>(f: F)
    where
        F: Fn(&LTAClient) -> Result<T>,
        T: Debug,
    {
        let api_key = env::var("API_KEY").unwrap();
        let client = LTAClient::with_api_key(api_key);
        let res = f(&client);
        match res {
            Ok(r) => println!("{:?}", r),
            Err(e) => println!("{:?}", e),
        }
    }

    fn async_example(client: &AsyncLTAClient) -> impl Future<Item = (), Error = ()> {
        use crate::r#async::{bus::get_arrival, traffic::get_faulty_traffic_lights};

        type Req = (Vec<FaultyTrafficLight>, BusArrivalResp);
        let fut = get_faulty_traffic_lights(client);
        let fut2 = get_arrival(client, 83139, "15");

        fut.join(fut2)
            .map(|(a, b): Req| {
                println!("{:?}", a);
                println!("{:?}", b);
                std::process::exit(0);
            })
            .map_err(|e| panic!("Request failed \n ${:?}", e))
    }

    #[test]
    fn run_async() {
        let api_key = env::var("API_KEY").unwrap();
        let client = &AsyncLTAClient::with_api_key(api_key);
        let fut = async_example(client);
        tokio::run(fut);
    }

    #[test]
    fn concurrent() {
        use std::sync::Arc;
        use std::thread::spawn;

        let api_key = env::var("API_KEY").unwrap();
        let c1 = Arc::new(LTAClient::with_api_key(api_key));
        let c2 = Arc::clone(&c1);

        let child = spawn(move || {
            let res = get_carpark_avail(&c1).unwrap();
            println!("{:?}", res)
        });

        let vms = traffic::get_vms_emas(&c2).unwrap();
        println!("{:?}", vms);

        child.join();
    }

    #[test]
    fn get_arrivals() {
        let api_key = env::var("API_KEY").unwrap();
        let client = LTAClient::with_api_key(api_key);
        let res = bus::get_arrival(&client, 83139, "15").unwrap();
        let arr = res.services.get(0);

        match arr {
            Some(r) => println!("{:?}", r.next_bus_as_arr()),
            None => println!("No arrivals"),
        }

        println!("{:?}", &res);
    }

    #[test]
    fn get_bus_services() {
        run_test_and_print(|c| bus::get_bus_services(c));
    }

    #[test]
    fn get_bus_routes() {
        run_test_and_print(|c| bus::get_bus_routes(c));
    }

    #[test]
    fn get_bus_stops() {
        run_test_and_print(|c| bus::get_bus_stops(c));
    }

    #[test]
    fn get_passenger_vol() {
        run_test_and_print(|c| crowd::get_passenger_vol_by(c, VolType::OdBusStop));
    }

    #[test]
    fn get_taxi_avail() {
        run_test_and_print(|c| taxi::get_taxi_avail(c));
    }

    #[test]
    fn get_erp_rates() {
        run_test_and_print(|c| traffic::get_erp_rates(c));
    }

    #[test]
    fn get_cp_avail() {
        run_test_and_print(|c| traffic::get_carpark_avail(c));
    }

    #[test]
    fn get_est_travel_time() {
        run_test_and_print(|c| traffic::get_est_travel_time(c));
    }

    #[test]
    fn get_faulty_traffic_lights() {
        run_test_and_print(|c| traffic::get_faulty_traffic_lights(c));
    }

    #[test]
    fn get_road_details() {
        use traffic::road::RoadDetailsType::RoadWorks;
        run_test_and_print(|c| traffic::get_road_details(c, RoadWorks));
    }

    #[test]
    fn get_traffic_images() {
        run_test_and_print(|c| traffic::get_traffic_images(c));
    }

    #[test]
    fn get_traffic_incidents() {
        run_test_and_print(|c| traffic::get_traffic_incidents(c));
    }

    #[test]
    fn get_traffic_speed_band() {
        run_test_and_print(|c| traffic::get_traffic_speed_band(c));
    }

    #[test]
    fn get_vms() {
        run_test_and_print(|c| traffic::get_vms_emas(c));
    }

    #[test]
    fn get_bike_parking() {
        run_test_and_print(|c| traffic::get_bike_parking(c, 1.364897, 103.766094, 0.5));
    }

    #[test]
    fn get_train_service_alerts() {
        run_test_and_print(|c| train::get_train_service_alert(c));
    }
}