/* WARNING:

    This file is only included when Django's DEBUG = True and your
    host is in INTERNAL_IPS.

    Do not commit any code elsewhere which uses these functions.
    They are for debugging use only.

    The file may still be accessible under other circumstances, so do
    not put sensitive information here. */

/*
      print_elapsed_time("foo", foo)

    evaluates to foo() and prints the elapsed time
    to the console along with the name "foo". */

function print_elapsed_time(name, fun) {
    var t0 = new Date().getTime();
    var out = fun();
    var t1 = new Date().getTime();
    console.log(name + ': ' + (t1 - t0) + ' ms');
    return out;
}

function check_duplicate_ids() {
    var ids = {};
    var collisions = [];
    var total_collisions = 0;

    Array.prototype.slice.call(document.querySelectorAll("*")).forEach(function (o) {
        if (o.id && ids[o.id]) {
            var el = collisions.find(function (c) {
                return c.id === o.id;
            });

            ids[o.id] += 1;
            total_collisions += 1;

            if (!el) {
                var tag = o.tagName.toLowerCase();
                collisions.push({
                    id: o.id,
                    count: 1,
                    node: "<" + tag + " className='" + o.className + "' id='" + o.id + "'>" +
                          "</" + tag + ">"
                });
            } else {
                el.count += 1;
            }
        } else if (o.id) {
            ids[o.id] = 1;
        }
    });

    return {
        collisions: collisions,
        total_collisions: total_collisions
    };
}

/* An IterationProfiler is used for profiling parts of looping
 * constructs (like a for loop or _.each).  You mark sections of the
 * iteration body and the IterationProfiler will sum the costs of those
 * sections over all iterations.
 *
 * Example:
 *
 *     var ip = new IterationProfiler();
 *     _.each(myarray, function (elem) {
 *         ip.iteration_start();
 *
 *         cheap_op(elem);
 *         ip.section("a");
 *         expensive_op(elem);
 *         ip.section("b");
 *         another_expensive_op(elem);
 *
 *         ip.iteration_stop();
 *     });
 *     ip.done();
 *
 * The console output will look something like:
 *     _iteration_overhead 0.8950002520577982
 *     _rest_of_iteration 153.415000159293413
 *     a 2.361999897402711
 *     b 132.625999901327305
 *
 * The _rest_of_iteration section is the region of the iteration body
 * after section b.
 */
function IterationProfiler() {
    this.sections = {};
    this.last_time = window.performance.now();
}

IterationProfiler.prototype = {
    iteration_start: function () {
        this.section('_iteration_overhead');
    },

    iteration_stop: function () {
        var now = window.performance.now();
        var diff = now - this.last_time;
        if (diff > 1) {
            if (this.sections._rest_of_iteration === undefined) {
                this.sections._rest_of_iteration = 0;
            }
            this.sections._rest_of_iteration += diff;
        }
        this.last_time = now;
    },

    section: function (label) {
        var now = window.performance.now();
        if (this.sections[label] === undefined) {
            this.sections[label] = 0;
        }
        this.sections[label] += (now - this.last_time);
        this.last_time = now;
    },

    done: function () {
        this.section('_iteration_overhead');
        var prop;

        for (prop in this.sections) {
            if (this.sections.hasOwnProperty(prop)) {
                console.log(prop, this.sections[prop]);
            }
        }
    }
};