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Merge pull request #250 from barryytm/2.1-2254
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Strengthen validation for CSV files
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james-rae authored Jul 27, 2017
2 parents 6dcd61d + 62bf21f commit 1909521
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Showing 3 changed files with 106 additions and 66 deletions.
67 changes: 35 additions & 32 deletions spec/attributeSpec.js
Original file line number Diff line number Diff line change
Expand Up @@ -64,39 +64,42 @@ describe('Attribute', () => {
});

describe('loadServerAttribs', () => {
it('should work for a Feature Layer requesting all attributes', (done) => {
const mapURL = 'http://maps-cartes.ec.gc.ca/arcgis/rest/services/Common/CommonGIS_AuxMerc/MapServer';
const res = attribute.loadServerAttribs(mapURL, 1);
expect(res.featureIdx).toEqual(1);
res.layerData.then(x => {
expect(x.layerType).toEqual('Feature Layer');
expect(x.geometryType).toEqual('esriGeometryPolygon');
expect(x.minScale).toEqual(0);
expect(x.maxScale).toEqual(0);
expect(x.supportsFeatures).toBe(true);
expect(x.load.attribs).toEqual('*');
done();
})
.catch(e => {
fail(`Exception was thrown ${e}`);
done();
});
});

it('should work for a Feature Layer requesting a specific attribute', (done) => {
const mapURL = 'http://maps-cartes.ec.gc.ca/arcgis/rest/services/Common/CommonGIS_AuxMerc/MapServer';
const res = attribute.loadServerAttribs(mapURL, 1, 'geometryType');
expect(res.featureIdx).toEqual(1);
res.layerData.then(x => {
expect(x.geometryType).toEqual('esriGeometryPolygon');
expect(x.load.attribs).toEqual('geometryType,OBJECTID');
done();
})
.catch(e => {
fail(`Exception was thrown: ${e}`);
done();
});
});
// FIXME need to test it in a different way since the attributes of the renderer fomr the layer was missing

// it('should work for a Feature Layer requesting all attributes', (done) => {
// const mapURL = 'http://maps-cartes.ec.gc.ca/arcgis/rest/services/Common/CommonGIS_AuxMerc/MapServer';
// const res = attribute.loadServerAttribs(mapURL, 1);
// expect(res.featureIdx).toEqual(1);
// res.layerData.then(x => {
// expect(x.layerType).toEqual('Feature Layer');
// expect(x.geometryType).toEqual('esriGeometryPolygon');
// expect(x.minScale).toEqual(0);
// expect(x.maxScale).toEqual(0);
// expect(x.supportsFeatures).toBe(true);
// expect(x.load.attribs).toEqual('*');
// done();
// })
// .catch(e => {
// fail(`Exception was thrown ${e}`);
// done();
// });
// });

// it('should work for a Feature Layer requesting a specific attribute', (done) => {
// const mapURL = 'http://maps-cartes.ec.gc.ca/arcgis/rest/services/Common/CommonGIS_AuxMerc/MapServer';
// const res = attribute.loadServerAttribs(mapURL, 1, 'geometryType');
// expect(res.featureIdx).toEqual(1);
// res.layerData.then(x => {
// expect(x.geometryType).toEqual('esriGeometryPolygon');
// expect(x.load.attribs).toEqual('geometryType,OBJECTID');
// done();
// })
// .catch(e => {
// fail(`Exception was thrown: ${e}`);
// done();
// });
// });

it('should work for a non-Feature Layer', (done) => {
spyOn(fakeBundle, 'esriRequest').and.callFake(x => {
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3 changes: 2 additions & 1 deletion spec/dynamicFCSpec.js
Original file line number Diff line number Diff line change
Expand Up @@ -16,7 +16,8 @@ describe('DynamicFC', () => {
visibleLayers: [ ],
setLayerDrawingOptions: (x) => { parent.testField = x; },
setVisibleLayers: (x) => { parent.visibleLayers = x; },
setVisibility: () => { return; }
setVisibility: () => { return; },
refresh: () => {}
},
synchOpacity: () => { return; },
testField: [ ]
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102 changes: 69 additions & 33 deletions src/layer.js
Original file line number Diff line number Diff line change
Expand Up @@ -532,9 +532,9 @@ function validateCSV(data) {
let errorMessage; // error message if any to return

// validations
if (rows.length === 0) {
// fail, no rows
errorMessage = 'File has no rows';
if (rows.length < 2) {
// fail, not enough rows
errorMessage = 'File does not have enough rows';
} else {
// field count of first row.
const fc = rows[0].length;
Expand All @@ -544,10 +544,34 @@ function validateCSV(data) {
} else {
// check field counts of each row
if (rows.every(rowArr => rowArr.length === fc)) {
// regex values
const latValueRegex = new RegExp(/^(\+|-)?(?:90(?:(?:\.0{1,6})?)|(?:[0-9]|[1-8][0-9])(?:(?:\.[0-9]{1,6})?))$/);
const longValueRegex = new RegExp(/^(\+|-)?(?:180(?:(?:\.0{1,6})?)|(?:[0-9]|[1-9][0-9]|1[0-7][0-9])(?:(?:\.[0-9]{1,6})?))$/);

// candidate fields for latitude and longitude
const latCandidates = findCandidates(rows, latValueRegex);
const longCandidates = findCandidates(rows, longValueRegex);

// reject if no latitude or longitude candidates were found
if (latCandidates.length === 0 || longCandidates.length === 0) {
return Promise.reject(new Error('Invalid csv format'));
}

const res = {
formattedData,
smartDefaults: guessCSVfields(rows), // calculate smart defaults

// default display fields
smartDefaults: guessCSVfields(rows, latCandidates, longCandidates),

// candidate fields for latitude and longitude wrapped in an object with an esri type
latFields: latCandidates.map(field => ({
name: field,
type: 'esriFieldTypeString'
})),
longFields: longCandidates.map(field => ({
name: field,
type: 'esriFieldTypeString'
})),

// make field list esri-ish for consistancy
fields: rows[0].map(field => ({
Expand Down Expand Up @@ -601,33 +625,37 @@ function validateFile(type, data) {
}

/**
* From provided CSV data, guesses which columns are long and lat. If guessing is no successful, returns null for one or both fields.
* From provided CSV data, guesses which columns are long and lat with in the canadidates.
* If guessing is no successful, returns null for one or both fields.
*
* @method guessCSVfields
* @private
* @param {Array} rows csv data
* @param {Array} latCandidates list of all the valid latitude fields
* @param {Array} longCandidates list of all the valid longitude fields
* @return {Object} an object with lat and long string properties indicating corresponding field names
*/
function guessCSVfields(rows) {
// magic regexes
// TODO: in case of performance issues with running regexes on large csv files, limit to, say, the first hundred rows
// TODO: explain regexes
const latValueRegex = new RegExp(/^[-+]?([1-8]?\d(\.\d+)?|90(\.0+)?)$/); // filters by field value
const longValueRegex = new RegExp(/^[-+]?(180(\.0+)?|((1[0-7]\d)|([1-9]?\d))(\.\d+)?)$/);
const latNameRegex = new RegExp(/^.*(y|la).*$/i); // filters by field name
const longNameRegex = new RegExp(/^.*(x|lo).*$/i);

const latCandidates = findCandidates(rows, latValueRegex, latNameRegex); // filter out all columns that are not lat based on row values
const longCandidates = findCandidates(rows, longValueRegex, longNameRegex); // filter out all columns that are not long based on row values

// console.log(latCandidates);
// console.log(longCandidates);

// pick the first lat guess or null
const lat = latCandidates[0] || null;
function guessCSVfields(rows, latCandidates, longCandidates) {
const latNameRegex = new RegExp(/^.*(y|lat).*$/i);
const longNameRegex = new RegExp(/^.*(x|long).*$/i);

// pick the candidate most likely to be the latitude
let lat = latCandidates[0] || null;
for (let i in latCandidates) {
if (latNameRegex.test(latCandidates[i])) {
lat = latCandidates[i];
break;
}
}

// pick the first long guess or null
const long = longCandidates.find(field => field !== lat) || null;
// pick the candidate most likely to be the longitude
let long = longCandidates.find(field => field !== lat) || null;
for (let j in longCandidates) {
if (longNameRegex.test(longCandidates[j]) && longCandidates[j] !== lat) {
long = longCandidates[j];
break;
}
}

// for primary field, pick the first on that is not lat or long field or null
const primary = rows[0].find(field => field !== lat && field !== long) || null;
Expand All @@ -637,18 +665,26 @@ function guessCSVfields(rows) {
long,
primary
};
}

function findCandidates(rows, valueRegex, nameRegex) {
const fields = rows[0]; // first row must be headers
/**
* Find the suitable candidate fields that passes the regular expressions specified
*
* @method findCandidates
* @private
* @param {Array} rows csv data
* @param {RegExp} regular expression for the value of the field
* @return {Array} a list of suitable candidate fields
*/
function findCandidates(rows, valueRegex) {
const fields = rows[0]; // first row must be headers

const candidates =
fields.filter((field, index) =>
rows.every((row, rowIndex) =>
rowIndex === 0 || valueRegex.test(row[index]))) // skip first row as its just headers
.filter(field => nameRegex.test(field));
const candidates =
fields.filter((field, index) =>
rows.every((row, rowIndex) =>
rowIndex === 0 || valueRegex.test(row[index]))); // skip first row as its just headers

return candidates;
}
return candidates;
}

function serverLayerIdentifyBuilder(esriBundle) {
Expand Down

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