use std::collections::{
    HashMap,
    BinaryHeap,
};
use std::collections::hash_map::Entry::{
    Occupied,
    Vacant,
};

use std::hash::Hash;

use scored::MinScored;
use super::visit::{
    Visitable,
    VisitMap,
    IntoEdges,
    EdgeRef,
};
use algo::Measure;

/// [Generic] Dijkstra's shortest path algorithm.
///
/// Compute the length of the shortest path from `start` to every reachable
/// node.
///
/// The graph should be `Visitable` and implement `IntoEdges`. The function
/// `edge_cost` should return the cost for a particular edge, which is used
/// to compute path costs. Edge costs must be non-negative.
///
/// If `goal` is not `None`, then the algorithm terminates once the `goal` node's
/// cost is calculated.
///
/// Returns a `HashMap` that maps `NodeId` to path cost.
/// # Example
/// ```rust
/// use petgraph::Graph;
/// use petgraph::algo::dijkstra;
/// use petgraph::prelude::*;
/// use std::collections::HashMap;
///
/// let mut graph : Graph<(),(),Directed>= Graph::new();
/// let a = graph.add_node(()); // node with no weight
/// let b = graph.add_node(());
/// let c = graph.add_node(());
/// let d = graph.add_node(());
/// let e = graph.add_node(());
/// let f = graph.add_node(());
/// let g = graph.add_node(());
/// let h = graph.add_node(());
/// // z will be in another connected component
/// let z = graph.add_node(());
///
/// graph.extend_with_edges(&[
///     (a, b),
///     (b, c),
///     (c, d),
///     (d, a),
///     (e, f),
///     (b, e),
///     (f, g),
///     (g, h),
///     (h, e)
/// ]);
/// // a ----> b ----> e ----> f
/// // ^       |       ^       |
/// // |       v       |       v
/// // d <---- c       h <---- g
///
/// let expected_res: HashMap<NodeIndex, usize> = [
///      (a, 3),
///      (b, 0),
///      (c, 1),
///      (d, 2),
///      (e, 1),
///      (f, 2),
///      (g, 3),
///      (h, 4)
///     ].iter().cloned().collect();
/// let res = dijkstra(&graph,b,None, |_| 1);
/// assert_eq!(res, expected_res);
/// // z is not inside res because there is not path from b to z.
/// ```
pub fn dijkstra<G, F, K>(graph: G, start: G::NodeId, goal: Option<G::NodeId>,
                         mut edge_cost: F)
    -> HashMap<G::NodeId, K>
    where G: IntoEdges + Visitable,
          G::NodeId: Eq + Hash,
          F: FnMut(G::EdgeRef) -> K,
          K: Measure + Copy,
{
    let mut visited = graph.visit_map();
    let mut scores = HashMap::new();
    //let mut predecessor = HashMap::new();
    let mut visit_next = BinaryHeap::new();
    let zero_score = K::default();
    scores.insert(start, zero_score);
    visit_next.push(MinScored(zero_score, start));
    while let Some(MinScored(node_score, node)) = visit_next.pop() {
        if visited.is_visited(&node) {
            continue
        }
        if goal.as_ref() == Some(&node) {
            break
        }
        for edge in graph.edges(node) {
            let next = edge.target();
            if visited.is_visited(&next) {
                continue
            }
            let mut next_score = node_score + edge_cost(edge);
            match scores.entry(next) {
                Occupied(ent) => if next_score < *ent.get() {
                    *ent.into_mut() = next_score;
                    //predecessor.insert(next.clone(), node.clone());
                } else {
                    next_score = *ent.get();
                },
                Vacant(ent) => {
                    ent.insert(next_score);
                    //predecessor.insert(next.clone(), node.clone());
                }
            }
            visit_next.push(MinScored(next_score, next));
        }
        visited.visit(node);
    }
    scores
}