/* Round float to two decimals only */

function roundToTwo(num) {

    return +(Math.round(num + "e+2") + "e-2");

}

function build_chart(div_selector, data_url, entity_name, category_type) {

    const main_elt = document.getElementById("main")

    var margin = {top: 60, right: 150, bottom: 200, left: 90},

        width = main_elt.offsetWidth * 0.95 - margin.left - margin.right,

        height = 600 - margin.top - margin.bottom;

    const height_ratio = 1.2;    // how murch room to give above chart for lisibility

    const tooltip_offset = {dx: 0, dy: 100}
    const tooltip_offset_dot = {dx: 20, dy: 60}

    const y_ticks_num = 5        // dont show to many y ticks for lisibility

    const legend_rect_size = 15; // size of rectangle in legend

    const legend_height = 20;

    const legend_max_length = 30;
    const legend_spacing = 5;

    const dot_radius = 6;        // size of total line dot

    var colorScale = d3.scaleOrdinal([]); //  Will be really set later by category type

    //
    // Configure chart by the category given as arg
    //

    var chart_title = ""
    var category_title = ""

    var draw_areas = () => void 0;

    var draw_total_line = () => void 0;
    var draw_categories_bars = () => void 0;

    if (category_type == 'capacity') {

        chart_title = "Charges par fonction"
        category_title = "Fonction"
        //draw_total_line
        draw_categories_bars = draw_categories_grouped

        colorScale = d3.scaleOrdinal(d3.schemeSet3);

    } else if (category_type == 'service') {

        chart_title = "Charges par service"
        category_title = "Service"
        draw_total_line = draw_totalcharge_line
        draw_categories_bars = draw_categories_stacked

        colorScale = d3.scaleOrdinal(d3.schemeTableau10);

    } else if (category_type == 'project') {

        chart_title = "Charges par projet"
        category_title = "Projet"
        draw_categories_bars = draw_categories_stacked
        colorScale = d3.scaleOrdinal(d3.schemeTableau10);

    } else if (category_type == 'area') {
        margin = {top: 60, right: 150, bottom: 350, left: 90};
        height = 1200 - margin.top - margin.bottom;
        chart_title = "Tous agents confondus"
        category_title = "Projet"
        draw_areas = draw_projects_areas
        colorScale = d3.scaleOrdinal(d3.schemeTableau10);

    } else {
        alert("ALERT ! Every body shall quit the boat, we are sinking ! ALERT !")

    }

    const xScale = d3.scaleBand()
        .range([0, width])
        .padding(0.4);

    const yScale = d3.scaleLinear()
        .range([height, 0]);

    // Configure the tooltip to export svg to png or csv
    var update_export_menu = function (e, d) {

        const tooltip_test = document.getElementsByClassName('tooltip_hamburger');

        if (tooltip_test.length == 0) {
            d3.select(".tooltip_hamburger").remove();

            const tooltip_hamburger = hamburger.append("div")
                .style("opacity", 0)
                .attr("class", "tooltip tooltip_hamburger");

            d3.select(this).transition()
                .duration(1)
            tooltip_hamburger
                .transition()
                .duration(200)
                .style("opacity", 1)
            tooltip_hamburger
                .html("<span>Export </span>" +

                    "<li id='to_csv'>To CSV</li>" +

                    "<li id='to_png'>To PNG</li>")
            d3.select("#to_png").on("click", download_png);

            d3.select("#to_csv").on("click", function () {
                download_csv(this, data_url);
            })

        } else {
            d3.select(".tooltip_hamburger").remove();
        }

    }

    // Create a download button inside the div contaning svg chart

    const hamburger = d3.select(div_selector).append('i')
        .attr('class', 'fas fa-bars fa-lg export')
        .on("click", update_export_menu);

    const real_width = width + margin.left + margin.right;
    const real_height = height + margin.top + margin.bottom;

    const svg = d3.select(div_selector).append("svg")

        .attr("viewBox", [0, 0, real_width, real_height])

        .attr("class", "svg_chart")

        .attr("width", real_width)
        .attr("height", real_height)

        .append("g")
        .attr("transform", "translate(" + margin.left + "," + margin.top + ")");

    const tooltip = d3.select('html')

        .append("div")
        .style("opacity", 0)
        .attr("class", "tooltip")

    var mousemove = function (e, d) {
        tooltip
            .style("left", (e.pageX - tooltip_offset.dx) + "px")
            .style("top", (e.pageY - tooltip_offset.dy) + "px")
    }

    var mouseleave = function (d) {
        tooltip
            .transition()

            .duration(900)

            .style("opacity", 0)
    }

    var mouseover = function (e, d) {
        var category_name = d3.select(this.parentNode).datum().key
        var category_charge = d.data[category_name]

        show_tooltip(e, category_name, category_charge)
    }

    var mouseovergrouped = function (e, d) {
        var category_name = d.key
        var category_charge = d.value
        show_tooltip(e, category_name, category_charge)
    }
    var show_tooltip = function (e, category_name, category_charge) {

        tooltip
            .transition()
            .duration(200)
            .style("opacity", 1);
        tooltip

            .html("<b>" + category_title + ":</b> " + category_name + "<br>" + "<b>Charge:</b> " + category_charge + " ETP")

            .style("left", (e.pageX - tooltip_offset.dx) + "px")
            .style("top", (e.pageY - tooltip_offset.dy) + "px")
    }

    var mouseleavedot = function (e, d) {
        d3.select(this).transition()
            .duration(1)
            .attr("r", dot_radius);
        mouseleave(d);
    }

    var mouseoverdot = function (e, d) {
        d3.select(this).transition()
            .duration(1)
            .attr("r", dot_radius * 1.5);
        tooltip
            .transition()
            .duration(200)
            .style("opacity", 1)
        tooltip

            .html("<b>" + d.period + ": </b>" + d.total + " ETP")

            .style("left", (e.pageX - tooltip_offset_dot.dx) + "px")
            .style("top", (e.pageY - tooltip_offset_dot.dy) + "px")
    }

    function mouseoverlegend() {
        var legend_category = $(this).attr("class");
        var bar_category = document.getElementsByClassName(legend_category);
        if (bar_category[0].tagName === "g") {
            var rect_to_hover = bar_category[0].children;
            (bar_category[1].children[0]).classList.add("brillance");
            for (var i=0;i<rect_to_hover.length;i++) {
                rect_to_hover[i].classList.add("brillance");
            }
        } else {
            for (var i=0;i<bar_category.length;i++) {
                bar_category[i].classList.add("brillance");
            }
        }
    }

    function mouseleavelegend() {
        var legend_category = $(this).attr("class");
        var bar_category = document.getElementsByClassName(legend_category);
        if (bar_category[0].tagName === "g") {
            var rect_to_hover = bar_category[0].children;
            (bar_category[1].children[0]).classList.remove("brillance");
            for (var i=0;i<rect_to_hover.length;i++) {
                rect_to_hover[i].classList.remove("brillance");
            }
        } else {
            var lenght_i = bar_category.length - 1;
            for (var i=lenght_i;i>=0;i--) {
                bar_category[i].classList.remove("brillance");
            }
        }
    }

    var addlegend = function (color_scale) {

        // add horizontal legend

        let legend_keys = color_scale.domain();

        // Truncate legend keys when too long
        legend_keys = legend_keys.map(function (l) {
            const n = legend_max_length;
            return (l.length > n) ? l.substr(0, n - 1) : l;
        });

        // Get Max legend key length for later display
        const max_key_length =  Math.max(...legend_keys.map(el => el.length));

        var legendWrap = svg.append('g')
            .attr('width', '100%')
            .attr('class', 'legendwrap');

        var legend = svg.select('.legendwrap').selectAll('.legend')

            .data(legend_keys)

            .enter()
            .append('g')

            .attr('class', function (d) { return d})
            .on("mouseover", mouseoverlegend)
            .on("mouseleave", mouseleavelegend);

        legend.append('rect')

            .attr('width', legend_rect_size)
            .attr('height', legend_rect_size)

            .style('fill', color_scale)

            .attr('class', 'legend');

        legend.append('text')

            .attr('class', 'legend')

            .attr('x', legend_rect_size + legend_spacing * 1.5)

            .attr('y', 13)

            .text(d => d);

        var ypos = 0,
            newxpos = 0,
            maxwidth = 0,
            xpos;

        legend

            .attr("transform", function (d, i) {

                const key_length = 9*max_key_length;

                xpos = newxpos;

                if (width < xpos + key_length) {

                    newxpos = xpos = 0;

                    ypos += legend_height;

                }

                newxpos += key_length;

                if (newxpos > maxwidth) maxwidth = newxpos;

                return 'translate(' + xpos + ',' + ypos + ')';

            });


        legendWrap

            .attr("transform", function (d, i) {

                return "translate(0 ," + (height + 100) + ")";
            });

    }

    function draw_categories_grouped(data, categories) {

        // Get the max y to plot
        // If no data at all, force to 0
        if (categories.length == 0) {
            y_max = 0
        } else {
            var y_max = d3.max(data, function (d) {
                return d3.max(categories, function (c) {
                    return +d[c]
                })
            });
        }
        // Force maximum in any cases
        if (y_max == 0) {
            y_max = 100
        }

        y_max = y_max * height_ratio
        yScale.domain([0, y_max])

        // Another scale for subgroup position
        var xCategories = d3.scaleBand()
            .domain(categories)
            .range([0, xScale.bandwidth()])

            .padding([0.2])

        svg.append("g")
            .selectAll("g")
            // Enter in data = loop group per group
            .data(data)
            .enter()
            .append("g")

            .attr("transform", d => "translate(" + xScale(d.period) + ",0)")

            .selectAll("rect")
            .data(function (d) {
                return categories.map(function (key) {
                    return {key: key, value: d[key]};
                });
            })
            .enter().append("rect")

            .attr("x", d => xCategories(d.key))

            .attr("width", xCategories.bandwidth())

            /* Transition part */
            .attr("y", d => {
                return height;
            })
            .attr("height", 0)
            .transition()
            .duration(750)
            .delay(function (d, i) {
                return i * 150;
            })

            .attr("y", d => yScale(d.value))

            .attr("height", d => height - yScale(d.value))

            .attr("fill", d => colorScale(d.key))

            .attr("class", d => d.key);

        svg.selectAll("rect")

            .on("mouseover", mouseovergrouped)
            .on("mousemove", mousemove)
            .on("mouseleave", mouseleave);

    }

    function draw_projects_areas(data, projects) {

        // Now build the stacked data for stacked bars
        //
        var stack = d3.stack()
            .keys(projects)
        // .order(d3.stackOrderNone)
        // .offset(d3.stackOffsetNone);
        var stacked_data = stack(data)

        yScale.domain([0, 85]);

        const area = d3.area()
            .x(d => xScale(d.data.period))
            .y0(d => yScale(d[0]))
            .y1(d => yScale(d[1]))

        let paths = svg.append("g")
            .selectAll("path")
            .data(stacked_data)
            .join("path")
            .attr("fill", ({key}) => colorScale(key))
            .attr("stroke", 'black')
            .attr("stroke-width", '0.2pt')
            .attr("d", area)
            .append("title")
            .text(({key}) => key);

        paths.selectAll("area")
            .on("mouseover", mouseover)
            .on("mousemove", mousemove)
            .on("mouseleave", mouseleave);

    }

    function draw_categories_stacked(data, categories) {

        // Now build the stacked data for stacked bars
        //
        var stack = d3.stack()
            .keys(categories)
        // .order(d3.stackOrderNone)
        // .offset(d3.stackOffsetNone);
        var stacked_data = stack(data)

        // Get the max y to plot

        // If no data at all, force to 0
        if (stacked_data.length == 0) {
            y_max = 0
        } else {
            var y_max = d3.max(stacked_data[stacked_data.length - 1], d => d[1]);
        }
        // Force maximum in any cases

        if (y_max == 0) {
            y_max = 100
        }
        // Enhance it by %ratio to leave room on the top of the graph
        y_max = y_max * height_ratio

        yScale.domain([0, y_max]);

        // first draw one group for one category containing all bars over periods

        let groups = svg.selectAll("g.category")
            .data(stacked_data)
            .enter()
            .append("g")

            .attr("class", d => d.key)

            .style("fill", (d) => colorScale(d.key));

        // then draw each period/category bar

        let rect = groups.selectAll("rect")
            .data(d => d)
            .enter()
            .append("rect")
            .attr("class", "bar")
            .attr("x", d => xScale(d.data.period))
            .attr("width", xScale.bandwidth())

            /* transition part */
            .attr("y", d => {
                return height;
            })
            .attr("height", 0)
            .transition()
            .duration(750)
            .delay(function (d, i) {
                return i * 150;
            })

            .attr("y", d => yScale(d[1]))
            .attr("height", d => height - yScale(d[1] - d[0]))

        groups.selectAll("rect")

            .on("mouseover", mouseover)
            .on("mousemove", mousemove)
            .on("mouseleave", mouseleave);

    }

    function draw_totalcharge_line(data) {
        // Build the total charge by period;

        // it will be used for the line drawing above bars.
        //

        var periods_total_charge = []

        data.forEach(function (d) {
            // get the list of values for all columns except the first one which is the period name
            var period_values = Object.values(d).slice(1)
            var row = {}
            row['period'] = d.period

            row['total'] = roundToTwo(d3.sum(period_values))

            periods_total_charge.push(row)
        });

        // the line itselet
        //
        const line = d3.line()
            .x(d => (xScale.bandwidth() / 2) + xScale(d.period)) // décalage pour centrer au milieu des barres
            .y(d => yScale(d.total))
            .curve(d3.curveMonotoneX); // Fonction de courbe permettant de l'adoucir

        svg.append("path")
            .datum(periods_total_charge)
            .attr("class", "total-line")

            .attr("d", line)
            .lower();// set it below bars if called after

        // data dots at each point
        //
        svg.selectAll("line-circle")
            .data(periods_total_charge)
            .enter().append("circle")
            .attr("class", "total-circle")
            .attr("r", dot_radius)
            .attr("cx", function (d) {
                return (xScale.bandwidth() / 2) + xScale(d.period)
            })
            .attr("cy", function (d) {
                return yScale(d.total);
            })
            .on("mouseover", mouseoverdot)

            .on("mouseleave", mouseleavedot)
            .lower();// set it below bars if called after

    }

    d3.csv(data_url).then(data => {

        // we could get categories that way,

        // var categories = data.columns.slice(1)

        // but instead we want to filter by non zero, see later

        var periods = d3.map(data, d => d.period)
        xScale.domain(periods)

        // Filter datas to only keep non zero categories
        // TODO: should be done on server (python/flask) side

        //

        // 1- Get the charge sum for each category over periods

        // That will leave '0' to categories with no charge at all

        // TODO: to be done with Object.keys, Object.values and d3 filtering methods

        //

        var categories_total_charge = {}

        data.forEach(function (d) {
            Object.keys(d).forEach(function (k) {

                    if (k === 'period') {
                        return;
                    }

                    if (categories_total_charge.hasOwnProperty(k)) {
                        categories_total_charge[k] += +d[k]
                    } else {

                        categories_total_charge[k] = +d[k]

                    }

                    categories_total_charge[k] = roundToTwo(categories_total_charge[k])

                }
            )
        })

        // 2- Now, filter only categories that have a non-zero charge

        // TODO: to be done with Object.keys, Object.values and d3 filtering methods

        //

        var categories = []
        for (var key in categories_total_charge) {
            if (categories_total_charge[key] > 0) {
                categories.push(key)
            }
        }

        //

        // Draw the  areas, stacked.
        //
        draw_areas(data, categories)

        //

        // Draw the  bars, stacked or grouped

        //
        draw_categories_bars(data, categories)

        //

        //  Draw the total charge line ( may be)
        //
        draw_total_line(data, categories)

        //
        // This former list we use as color_scale domain.
        // And that allows us to build the legend
        //
        colorScale.domain(categories)
        addlegend(colorScale)

        // Xaxis
        //

        const xAxis = d3.axisBottom(xScale)

        // Draw Xaxis

        svg.append("g")

            .attr("class", "x_axis")

            .attr("transform", "translate(0," + height + ")")
            .call(xAxis)
            .selectAll("text")
            .style("text-anchor", "end")
            .attr("dx", "-.9em")
            .attr("dy", ".15em")
            .attr("transform", "rotate(-65)");

        // Yaxis
        //
        const yAxis = d3.axisLeft(yScale)
            .ticks(y_ticks_num)

        // Draw Yaxis

        svg.append("g")

            .attr("class", "y_axis")

            .call(yAxis)

        // Draw horizontal lines
        svg.selectAll("y axis")
            .data(yScale.ticks(y_ticks_num))
            .enter()
            .append("line")
            .attr("class", d => (d == 0 ? "horizontalY0" : "horizontalY"))
            .attr("x1", 0)
            .attr("x2", width)
            .attr("y1", d => yScale(d))
            .attr("y2", d => yScale(d))

            .lower();// set it below bars if called after

        // Write Y axis title

        svg.append("text")
            .attr("text-anchor", "end")
            .attr("transform", "rotate(-90)")
            .attr("y", -margin.left + 40)
            .attr("x", -margin.top - 70)

            .text("Charge en ETP");

        //

        // Write chart Title

        //

        // part 1

        svg.append("text")

            .attr("x", (width / 2))
            .attr("y", 0 - (margin.top / 2) - 10)
            .attr("text-anchor", "middle")
            .style("font-size", "16px")

            .text(entity_name);

        // part 2

        svg.append("text")

            .attr("x", (width / 2))
            .attr("y", 0 - (margin.top / 2) + 10)
            .attr("text-anchor", "middle")
            .style("font-size", "12px")
            .text(chart_title);

    }); // end of d3.csv().then({})

}