/**
 * @file
 * @author  Aapo Kyrola 
 * @version 1.0
 *
 * @section LICENSE
 *
 * Copyright [2012] [Aapo Kyrola, Guy Blelloch, Carlos Guestrin / Carnegie Mellon University]
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 
 *
 * @section DESCRIPTION
 *
 * Random walk simulation. From a set of source vertices, a set of 
 * random walks is started. Random walks walk via edges, and we use the
 * dynamic chivectors to support multiple walks in one edge. Each
 * vertex keeps track of the walks that pass by it, thus in the end
 * we have estimate of the "pagerank" of each vertex.
 *
 * Note, this version does not support 'resets' of random walks.
 * TODO: from each vertex, start new random walks with some probability,
 * and also terminate a walk with some probablity.
 *
 */

#define DYNAMICEDATA 1

#include 

#include "graphchi_basic_includes.hpp"
#include "api/dynamicdata/chivector.hpp"
#include "util/toplist.hpp"

using namespace graphchi;

/**
 * Type definitions. Remember to create suitable graph shards using the
 * Sharder-program.
 */
typedef unsigned int VertexDataType;
typedef chivector  EdgeDataType;

 
struct RandomWalkProgram : public GraphChiProgram {
    
    int walks_per_source() {
        return 100;
    }
    
    bool is_source(vid_t v) {
        return (v % 50 == 0);
    }
    
    /**
     *  Vertex update function.
     */
    void update(graphchi_vertex &vertex, graphchi_context &gcontext) {
        if (gcontext.iteration == 0) {
            
            if (is_source(vertex.id())) {
                for(int i=0; i < walks_per_source(); i++) {
                    /* Get random out edge's vector */
                    graphchi_edge * outedge = vertex.random_outedge();
                    if (outedge != NULL) {
                        chivector * evector = outedge->get_vector();
                        /* Add a random walk particle, represented by the vertex-id of the source (this vertex) */
                        evector->add(vertex.id());
                        gcontext.scheduler->add_task(outedge->vertex_id()); // Schedule destination
                    }
                }
            }
            vertex.set_data(0);
        } else {
            /* Check inbound edges for walks and advance them. */
            int num_walks = 0;
            for(int i=0; i < vertex.num_inedges(); i++) {
                graphchi_edge * edge = vertex.inedge(i);
                chivector * invector = edge->get_vector();
                for(int j=0; j < invector->size(); j++) {
                    /* Get one walk */
                    vid_t walk = invector->get(j);
                    /* Move to a random out-edge */
                    graphchi_edge * outedge = vertex.random_outedge();
                    if (outedge != NULL) {
                        chivector * outvector = outedge->get_vector();
                        /* Add a random walk particle, represented by the vertex-id of the source (this vertex) */
                        outvector->add(walk);
                        gcontext.scheduler->add_task(outedge->vertex_id()); // Schedule destination
                    }
                    num_walks ++;
                }
                /* Remove all walks from the inbound vector */
                invector->clear();
            }
            /* Keep track of the walks passed by via this vertex */
            vertex.set_data(vertex.get_data() + num_walks);
        }
    }
    
    /**
     * Called before an iteration starts.
     */
    void before_iteration(int iteration, graphchi_context &gcontext) {
    }
    
    /**
     * Called after an iteration has finished.
     */
    void after_iteration(int iteration, graphchi_context &gcontext) {
    }
    
    /**
     * Called before an execution interval is started.
     */
    void before_exec_interval(vid_t window_st, vid_t window_en, graphchi_context &gcontext) {
    }
    
    /**
     * Called after an execution interval has finished.
     */
    void after_exec_interval(vid_t window_st, vid_t window_en, graphchi_context &gcontext) {
    }
    
};


int main(int argc, const char ** argv) {
    /* GraphChi initialization will read the command line
     arguments and the configuration file. */
    graphchi_init(argc, argv);
    
    /* Metrics object for keeping track of performance counters
     and other information. Currently required. */
    metrics m("randomwalk");
    
    /* Basic arguments for application */
    std::string filename = get_option_string("file");  // Base filename
    int niters           = get_option_int("niters", 4); // Number of iterations
    bool scheduler       = true;                       // Whether to use selective scheduling
    
    /* Detect the number of shards or preprocess an input to create them */
    bool preexisting_shards;
    int nshards          = convert_if_notexists(filename, get_option_string("nshards", "auto"), preexisting_shards);
    
    /* Run */
    RandomWalkProgram program;
    graphchi_engine engine(filename, nshards, scheduler, m);
    if (preexisting_shards) {
        engine.reinitialize_edge_data(0);
    }
    engine.run(program, niters);
    
    /* List top 20 */
    int ntop = 20;
    std::vector< vertex_value > top = get_top_vertices(filename, ntop);
    std::cout