Added more reports.
This commit is contained in:
@@ -142,119 +142,311 @@ if(Meteor.isServer) {
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}
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res.end();
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//let tagSalesTotals = [];
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//let tagIdToNameMap = [];
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////Find all products and collect sales totals by tag id.
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//let products = Meteor.collections.Products.find({}, {fields: {_id: 1, tags: 1}}).fetch();
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//
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//for(let product of products) {
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// for(let tag of product.tags) {
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// let tagSalesTotal = tagSalesTotals[tag];
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// let productSalesTotal = productSalesTotalsMap[product._id];
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//
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// if(tagSalesTotal === undefined) tagSalesTotal = 0;
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// if(productSalesTotal === undefined) productSalesTotal = 0;
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//
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// tagSalesTotals[tag] = tagSalesTotal + productSalesTotal;
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// }
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//}
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//
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////Find all tags and convert the tag id's to tag names.
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//let tags = Meteor.collections.ProductTags.find({}, {fields: {_id: 1, name: 1}}).fetch();
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//
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//for(let tag of tags) {
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// tagIdToNameMap[tag._id] = tag.name;
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//}
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////Write the response table.
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//res.writeHead(200, {'Content-Type': 'text/csv'});
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//
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//res.write("Tag,Sales Total\n");
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//
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////result.sort(function(a, b) {
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//// return a.name > b.name ? 1 : -1;
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////});
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//
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//for(let tagId in tagSalesTotals) {
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// let tagTotal = tagSalesTotals[tagId];
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// let tagName = tagIdToNameMap[tagId];
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//
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// //console.log(result[i].name + "::" + result[i].total);
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// res.write(tagName + ',' + tagTotal + '\n');
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//}
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//
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//res.end();
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}).catch((err) => {
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console.log(err);
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res.end();
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});
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//Get all tags
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//Get all products for each tag
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//Total all sales for each product
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//let tags = Meteor.collections.ProductTags.find({},{fields: {_id: 1, name: 1}}).fetch();
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//let result = [];
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//
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//for(let tag of tags) {
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// let tagTotal = 0;
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// let products = Meteor.collections.Products.find({tags: tag._id}, {fields: {_id: 1}}).fetch();
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//
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// for(let product of products) {
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// let sales = Meteor.collections.Sales.find({productId: product._id}, {fields: {amount: 1, price: 1, _id: 0}}).fetch();
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//
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// for(let sale of sales) {
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// tagTotal += sale.amount * sale.price;
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// }
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// }
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//
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// result.push({name: tag.name, total: tagTotal});
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//}
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//res.writeHead(200, {'Content-Type': 'text/csv'});
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//
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//res.write("Tag,Sales Total\n");
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//
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//result.sort(function(a, b) {
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// return a.name > b.name ? 1 : -1;
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//});
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//
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//for(let i = 0; i < result.length; i++) {
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// console.log(result[i].name + "::" + result[i].total);
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// res.write(result[i].name);
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// res.write(",");
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// res.write("" + result[i].total);
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// res.write("\n");
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//}
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//
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//res.end();
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} catch(err) {
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console.log(err);
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res.end();
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}
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});
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WebApp.connectHandlers.use("/reports/WeekYearTable", (req, res, next) => {
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WebApp.connectHandlers.use("/reports/ProductSalesByMeasure", (req, res, next) => {
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const separator = ";";
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try {
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let result = Meteor.collections.Sales.aggregate([{$group: {_id: {$substr: ['$date', 0, 6]}, total: {$sum: {$multiply: ["$price", "$amount"]}}}}]);
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//Aggregate all the sale counts by product id, measure id, & year, then later create a map between products and tags to create tag totals, and measures to measure names to label them.
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let result = Meteor.collections.Sales.aggregate([{
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$group: {
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_id: {$concat: ["$productId", "-", {$substr: ['$date', 0, 4]}, "-", "$measureId"]},
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productId: {$first: "$productId"},
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measureId: {$first: "$measureId"},
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year: {$first: {$substr: ['$date', 0, 4]}},
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count: {$sum: "$amount"},
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total: {$sum: {$multiply: ["$price", "$amount"]}}
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}
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}]);
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result.toArray().then(function(result) {
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res.writeHead(200, {'Content-Type': 'text/csv'});
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let totalByYear = {};
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res.write("Date,Sales Total\n");
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result.sort(function(a, b) {
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return parseInt(a._id) - parseInt(b._id);
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});
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for(let i = 0; i < result.length; i++) {
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res.write(result[i]._id.substr(4, 2) + "/" + result[i]._id.substr(0, 4));
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res.write(",");
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res.write("" + result[i].total);
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res.write("\n");
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//Create a map of maps: year -> product id -> measure id -> sales count.
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for(let next of result) {
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let totalByProduct = totalByYear[next.year];
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//Create the map if necessary.
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if(totalByProduct === undefined) totalByProduct = totalByYear[next.year] = {};
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//Get the map of totals by product for the year.
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let totalByMeasure = totalByProduct[next.productId];
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//Create the map if necessary.
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if(totalByMeasure === undefined) totalByMeasure = totalByProduct[next.productId] = {};
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totalByMeasure[next.measureId] = {count: next.count, total: next.total};
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}
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//Create a list of ordered measures. We could use a map, but then getting the ordering correct would be difficult.
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let measures = Meteor.collections.Measures.find({}, {fields: {_id: 1, name: 1}, sort: {order: 1}}).fetch();
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//Now create a mapping between the product id's and product names for later use.
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let products = Meteor.collections.Products.find({}, {fields: {_id: 1, name: 1}, sort: {name: 1}}).fetch();
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//Collect the years in ascending oder.
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let years = Object.keys(totalByYear).sort(function(a, b) {return parseInt(a) - parseInt(b);});
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//Write the response table.
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res.writeHead(200, {'Content-Type': 'text/csv'});
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//Start with the table headers: Product, Year1 Count, Year1 Total, Year2 Count, ..
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res.write("Product");
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//Iterate over the years and add them to the headers.
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for(let year of years) {
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res.write(separator + year + " Count" + separator + year + " Total");
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}
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res.write('\n');
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for(let product of products) {
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let includeProduct = false;
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let productMeasureIds = {};
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//Collect the measureIds for the product in all years of data (it may only exist in some years).
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for(let year of years) {
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let productTotals = totalByYear[year][product._id];
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if(productTotals) {
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for(let measureId of Object.keys(productTotals)) {
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productMeasureIds[measureId] = 1;
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includeProduct = true;
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}
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}
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}
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//If we have any data at all for the product then we should include it in the table.
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if(includeProduct) {
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res.write(product.name);
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//First include the summation of all measures for each year.
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for(let year of years) {
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let productTotals = totalByYear[year][product._id];
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let annualCount = 0;
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let annualTotal = 0;
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//There may be no information for some years on some products.
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if(productTotals) {
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for(let totals of Object.values(productTotals)) {
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annualCount += totals.count;
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annualTotal += totals.total;
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}
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}
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res.write(separator + annualCount + separator + annualTotal);
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}
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res.write("\n");
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//Iterate over all measures in the system (they are ordered), and write out the rows for each one that has data for this product. Use zeros for years without data.
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for(let measure of measures) {
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//If this measure has any data for any year then include it in the table.
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if(productMeasureIds[measure._id]) {
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res.write(product.name + " " + measure.name);
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for(let year of years) {
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let productTotals = totalByYear[year][product._id];
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if(productTotals) {
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let totals = productTotals[measure._id];
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if(totals) {
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res.write(separator + totals.count + separator + totals.total);
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}
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else {
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res.write(separator + "0" + separator + "0");
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}
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}
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else {
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res.write(separator + "0" + separator + "0");
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}
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}
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res.write("\n");
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}
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}
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}
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}
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res.end();
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}).catch((err) => {
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console.log(err);
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res.end();
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});
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} catch(err) {
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console.log(err);
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res.end();
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}
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});
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WebApp.connectHandlers.use("/reports/TagSalesByMeasure", (req, res, next) => {
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const separator = ";";
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try {
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//Aggregate all the sale counts by product id, measure id, & year, then later create a map between products and tags to create tag totals, and measures to measure names to label them.
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let result = Meteor.collections.Sales.aggregate([{
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$group: {
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_id: {$concat: ["$productId", "-", {$substr: ['$date', 0, 4]}, "-", "$measureId"]},
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productId: {$first: "$productId"},
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measureId: {$first: "$measureId"},
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year: {$first: {$substr: ['$date', 0, 4]}},
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count: {$sum: "$amount"},
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total: {$sum: {$multiply: ["$price", "$amount"]}}
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}
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}]);
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result.toArray().then(function(result) {
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let totalByYear = {};
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//Create a map of maps: year -> product id -> measure id -> sales count.
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for(let next of result) {
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let totalByProduct = totalByYear[next.year];
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//Create the map if necessary.
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if(totalByProduct === undefined) totalByProduct = totalByYear[next.year] = {};
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//Get the map of totals by product for the year.
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let totalByMeasure = totalByProduct[next.productId];
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//Create the map if necessary.
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if(totalByMeasure === undefined) totalByMeasure = totalByProduct[next.productId] = {};
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totalByMeasure[next.measureId] = {count: next.count, total: next.total};
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}
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//Create a list of ordered measures. We could use a map, but then getting the ordering correct would be difficult.
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let measures = Meteor.collections.Measures.find({}, {fields: {_id: 1, name: 1}, sort: {order: 1}}).fetch();
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//Now create a mapping between the tag id's and tag names for later use.
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let tagIdToTagNameMap = {};
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let tags = Meteor.collections.ProductTags.find({}, {fields: {_id: 1, name: 1}}).fetch();
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for(let tag of tags) {
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tagIdToTagNameMap[tag._id] = tag.name;
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}
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//Now create a map between tag names -> [product ids] so that we can build a table below.
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let tagProductIdsMap = {};
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let products = Meteor.collections.Products.find({}, {fields: {_id: 1, tags: 1}}).fetch();
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for(let product of products) {
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for(let tagId of product.tags) {
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let tagName = tagIdToTagNameMap[tagId];
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let productIds = tagProductIdsMap[tagName];
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//Initialize the array if undefined, and add to the mapping.
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if(productIds === undefined) productIds = tagProductIdsMap[tagName] = [];
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productIds.push(product._id);
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}
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}
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//Collect the years in ascending oder.
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let years = Object.keys(totalByYear).sort(function(a, b) {return parseInt(a) - parseInt(b);});
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//A map of tag names -> measure id -> 1. The measureId's are not in an array, but rather an object setup as a HashSet. So tagMeasureIdMap['tagname']['measureId'] === 1 if the measure is related to the tag via sales for any year.
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let tagMeasureIdMap = {};
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//For each tag, collect measure id's that have data in the relevant years.
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for(let tagName of Object.keys(tagProductIdsMap)) {
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let productIds = tagProductIdsMap[tagName];
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let measureIdMap = {};
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//Iterate over the products related to the tag, and the years we are querying to find all measures with sales data.
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for(let productId of productIds) {
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for(let year of years) {
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let totalsByMeasureIdMap = totalByYear[year][productId];
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if(totalsByMeasureIdMap) {
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for(let measureId in totalsByMeasureIdMap) {
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measureIdMap[measureId] = 1;
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}
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}
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}
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}
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tagMeasureIdMap[tagName] = measureIdMap;
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}
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//Write the response table.
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res.writeHead(200, {'Content-Type': 'text/csv'});
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//Start with the table headers: Product, Year1 Count, Year1 Total, Year2 Count, ..
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res.write("Tag");
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//Iterate over the years and add them to the headers.
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for(let year of years) {
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res.write(separator + year + " Count" + separator + year + " Total");
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}
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res.write('\n');
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//Iterate over each tag and add rows for summation and each measure with data associated with it.
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for(let tagName of Object.keys(tagProductIdsMap)) {
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let productIds = tagProductIdsMap[tagName];
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if(productIds) {
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//console.log(result[i].name + "::" + result[i].total);
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res.write(tagName);
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//Iterate over each year to add its total as a column.
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for(let year of years) {
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let totalByProduct = totalByYear[year];
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let annualCount = 0;
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let annualTotal = 0;
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//Iterate over all the product id's for the tag and sum the annual totals for each product that is tagged.
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for(productId of productIds) {
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let totalByMeasure = totalByProduct[productId];
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if(totalByMeasure) {
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for(let totals of Object.values(totalByMeasure)) {
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annualCount += totals.count;
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annualTotal += totals.total;
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}
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}
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}
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res.write(separator + annualCount + separator + annualTotal);
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}
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res.write('\n');
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//Write a row for each measure associated with the tag's products in the sales data.
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for(let measure of measures) {
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//If there is data for the given measure for any year and this tag, then write a row for it.
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if(tagMeasureIdMap[tagName][measure._id]) {
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res.write(tagName + " - " + measure.name);
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//Write the sum of sales counts and $ amounts for each year for the tag and measure.
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for(let year of years) {
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let annualCount = 0;
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let annualTotal = 0;
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for(productId of productIds) {
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let totals = totalByYear[year][productId] ? totalByYear[year][productId][measure._id] : null;
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if(totals) {
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annualCount += totals.count;
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annualTotal += totals.total;
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}
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}
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res.write(separator + annualCount + separator + annualTotal);
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}
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res.write('\n');
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}
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}
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}
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}
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res.end();
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}).catch((err) => {
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console.log(err);
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res.end();
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});
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} catch(err) {
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@@ -2,6 +2,8 @@
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<div id="reports">
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<a download="AnnualTotals.csv" href="/reports/AnnualTotals">Annual Totals (csv)</a><br/>
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<a download="MonthlyTotals.csv" href="/reports/MonthlyTotals">Monthly Totals (csv)</a><br/>
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<a download="TagTotals.csv" href="/reports/TagTotals">Tag Totals (csv)</a><br/>
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<a download="TagTotals.csv" href="/reports/TagTotals">Tag Totals (csv)</a> The total sales ($) are shown by year for each tag. Since multiple tags can be associated with multiple products (N to N relationship), there will likely be overlap in the numbers.<br/>
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<a download="TagSalesByMeasure.csv" href="/reports/TagSalesByMeasure">Tag Sales By Measure (csv)</a> This is a table of tags & measures by year. The tags and the measures associated with them are along the vertical column, and the years are horizontal. Both item counts and sales totals ($) are shown for each year.<br/>
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<a download="ProductSalesByMeasure.csv" href="/reports/ProductSalesByMeasure">Product Sales By Measure (csv)</a> This is a table of products & product measures by year, showing the sales in terms of unit counts and dollar values for each year, each product, and each product's measure.<br/>
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</div>
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</template>
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Block a user