first test web interface d3js plot
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21
db.py
21
db.py
@ -1,5 +1,7 @@
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#!/usr/bin/python
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import psycopg2
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import csv
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import os
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def connect_db(db_settings):
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conn = None
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@ -44,6 +46,25 @@ def add_history_entry(db_settings, itemid, skuid, choice, attributes, price, cur
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connection.close()
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def export_csv(db_settings):
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connection = connect_db(db_settings)
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cursor = connection.cursor()
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cursor.execute("""
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SELECT i.itemid, i.skuid, i.choice, i.attributes, h.quantity, h.discount_percentage, h.price, h.currency, h.h_timestamp
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FROM item i, history h
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WHERE i.itemid = h.itemid and i.skuid = h.skuid
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""")
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results = cursor.fetchall()
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with open(os.path.dirname(os.path.realpath(__file__))+"/output.csv", 'w') as csv_file:
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# Create a CSV writer
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writer = csv.writer(csv_file)
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# write the column names
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writer.writerow([col[0] for col in cursor.description])
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# write the query results
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writer.writerows(results)
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cursor.close()
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connection.close()
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def initialize(db_settings):
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1
main.py
1
main.py
@ -17,4 +17,5 @@ if __name__ == '__main__':
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#initialize(settings["db"])
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fill_db(settings["db"], check_items(settings["item"]))
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export_csv(settings["db"])
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116
web/test.html
Normal file
116
web/test.html
Normal file
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<!DOCTYPE html>
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<meta charset="utf-8">
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<!-- Load d3.js -->
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<script src="https://d3js.org/d3.v6.js"></script>
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<!-- Create a div where the graph will take place -->
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<div id="my_dataviz"></div>
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<script>
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// set the dimensions and margins of the graph
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const margin = {top: 10, right: 30, bottom: 30, left: 60},
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width = 1600 - margin.left - margin.right,
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height = 400 - margin.top - margin.bottom;
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// append the svg object to the body of the page
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const svg = d3.select("#my_dataviz")
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.append("svg")
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.attr("width", width + margin.left + margin.right)
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.attr("height", height + margin.top + margin.bottom)
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.append("g")
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.attr("transform",`translate(${margin.left},${margin.top})`);
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d3.csv('http://127.0.0.1/output.csv', d => {
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console.log(d.h_timestamp);
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console.log(d3.timeParse("%Y-%m-%d %H:%M:%S.%L")(d.h_timestamp));
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//2024-01-13 21:51:45.581863
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return {
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date: new Date(d.h_timestamp.replace(' ', 'T')).getTime(),
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value: parseFloat(d.price.replace('$', ''))
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}
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}).then(function(data) {
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console.log(data);
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// Add X axis --> it is a date format
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const x = d3.scaleTime()
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.domain(d3.extent(data, d => d.date))
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.range([ 0, width ]);
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svg.append("g")
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.attr("transform", `translate(0, ${height})`)
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.call(d3.axisBottom(x));
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// Add Y axis
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// Get the extent of the data values
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const valueExtent = d3.extent(data, d => d.value);
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// Extend the domain by 5 units on each side
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const extendedDomain = [valueExtent[0] - 5, valueExtent[1] + 5];
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// Create the y-scale with the extended domain
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const y = d3.scaleLinear()
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.domain(extendedDomain)
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.range([height, 0]);
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svg.append("g")
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.call(d3.axisLeft(y));
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// Add the line
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svg.append("path")
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.datum(data)
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.attr("fill", "none")
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.attr("stroke", "black")
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.attr("stroke-width", 1.5)
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.attr("d", d3.line()
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.curve(d3.curveBasis) // Just add that to have a curve instead of segments
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.x(d => x(d.date))
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.y(d => y(d.value))
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)
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// create a tooltip
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const Tooltip = d3.select("#my_dataviz")
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.append("div")
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.style("opacity", 0)
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.attr("class", "tooltip")
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.style("background-color", "white")
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.style("border", "solid")
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.style("border-width", "2px")
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.style("border-radius", "5px")
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.style("padding", "5px")
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// Three function that change the tooltip when user hover / move / leave a cell
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const mouseover = function(event,d) {
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Tooltip
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.style("opacity", 1)
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}
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const mousemove = function(event,d) {
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Tooltip
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.html("Exact value: " + d.value)
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.style("left", `${event.layerX+10}px`)
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.style("top", `${event.layerY}px`)
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}
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const mouseleave = function(event,d) {
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Tooltip
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.style("opacity", 0)
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}
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// Add the points
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svg
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.append("g")
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.selectAll("dot")
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.data(data)
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.join("circle")
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.attr("class", "myCircle")
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.attr("cx", d => x(d.date))
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.attr("cy", d => y(d.value))
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.attr("r", 8)
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.attr("stroke", "#69b3a2")
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.attr("stroke-width", 3)
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.attr("fill", "white")
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.on("mouseover", mouseover)
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.on("mousemove", mousemove)
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.on("mouseleave", mouseleave)
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})
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</script>
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