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/*-
* ============LICENSE_START=======================================================
* ONAP CLAMP
* ================================================================================
* Copyright (C) 2019 AT&T Intellectual Property. All rights reserved.
* ================================================================================
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* ============LICENSE_END============================================
* ===================================================================
*
*/
export default function CsvToJson(rawCsvData, delimiter, internalDelimiter, csvHeaderNames, jsonKeyNames, mandatory) {
let printDictKeys = '';
let result = { jsonObjArray: [], errorMessages: '' };
// Validate that all parallel arrays passed in have same number of elements;
// this would be a developer error.
let checkLength = csvHeaderNames.length;
if (checkLength !== jsonKeyNames.length || checkLength !== mandatory.length) {
result.errorMessages = 'interanl error: csvHeaderNames, jsonKeyNames, and mandatory arrays parameters are not the same length';
return result;
}
if (checkLength < 1) {
result.errorMessages = 'interanl error: csvHeaderNames, jsonKeyNames, and mandatory arrays have no entries';
return result;
}
// Make a nice string to print in the error case to tell user what is the
// required heaer row format
for (let i = 0; i < csvHeaderNames.length; ++i) {
if (i === 0) {
printDictKeys = csvHeaderNames[i];
} else {
printDictKeys += ',' + csvHeaderNames[i];
}
}
let dictElems = rawCsvData.split('\n');
let numColumns = 0;
let filteredDictElems = [];
// The task of the following loop is to convert raw CSV rows into easily parseable
// and streamlined versions of the rows with an internalDelimiter replacing the standard
// comma; it is presumed (and checked) that the internalDelimiter cannot exist as a valid
// sequence of characters in the user's data.
// This conversion process also strips leading and trailing whitespace from each row,
// discards empty rows, correctly interprets and removes all double quotes that programs like
// Excel use to support user columns that contain special characters, most notably, the comma
// delimiter. A double-quote that is contained within a double-quoted column value
// must appear in this raw data as a sequence of two double quotes. Furthermore, any column
// value in the raw CSV data that does not contain a delimiter may or may not be enclosed in
// double quotes. It is the Excel convention to not use double qoutes unless necessary, and
// there is no reasonable way to tell Excel to surround every column value with double quotes.
// Any files that were directly "exported" by CLAMP itself from the Managing Dictionaries
// capability, surround all columns with double quotes.
for (let i = 0; i < dictElems.length; i++) {
let oneRow = dictElems[i].trim();
let j = 0;
let inQuote = false
let nextChar = undefined;
let prevChar = null;
if (oneRow === '') {
continue; // Skip blank rows
} else if (oneRow.indexOf(internalDelimiter) !== -1) {
result.errorMessages += '\nRow #' + i + ' contains illegal sequence of characters (' + internalDelimiter + ')';
break;
} else {
nextChar = oneRow[1];
}
let newStr = '';
numColumns = 1;
// This "while loop" performs the very meticulous task of removing double quotes that
// are used by Excel to encase special characters as user string value data,
// and manages to correctly identify columns that are defined with or without
// double quotes and to process the comma delimiter correctly when encountered
// as a user value within a column. Such a column would have to be encased in
// double quotes; a comma found outside double quotes IS a delimiter.
while (j < oneRow.length) {
if (oneRow[j] === '"') {
if (inQuote === false) {
if (prevChar !== delimiter && prevChar !== null) {
result.errorMessages += '\nMismatched double quotes or illegal whitespace around delimiter at row #' + (i + 1) + ' near column #' + numColumns;
break;
} else {
inQuote = true;
}
} else {
if (nextChar === '"') {
newStr += '"';
++j;
} else if ((nextChar !== delimiter) && (nextChar !== undefined)) {
result.errorMessages += '\nRow #' + (i + 1) + ' is badly formatted at column #' + numColumns + '. Perhaps an unescaped double quote.';
break;
} else if (nextChar === delimiter) {
++numColumns;
inQuote = false;
newStr += internalDelimiter;
prevChar = delimiter;
j += 2;
nextChar = oneRow[j + 1];
continue;
} else {
++numColumns;
inQuote = false;
break;
}
}
} else {
if (oneRow[j] === delimiter && inQuote === false) {
newStr += internalDelimiter;
++numColumns;
} else {
newStr += oneRow[j];
}
}
prevChar = oneRow[j];
++j;
nextChar = oneRow[j + 1]; // can result in undefined at the end
}
if (result.errorMessages === '' && inQuote !== false) {
result.errorMessages += '\nMismatched double quotes at row #' + (i + 1);
break;
} else if (result.errorMessages === '' && numColumns < jsonKeyNames.length) {
result.errorMessages += '\nNot enough columns (' + jsonKeyNames.length + ') at row #' + (i + 1);
break;
}
filteredDictElems.push(newStr);
}
if (result.errorMessages !== '') {
return result;
}
// Perform further checks on data that is now in JSON form
if (filteredDictElems.length < 2) {
result.errorMessages += '\nNot enough row data found in import file. Need at least a header row and one row of data';
return result;
}
// Now that we have something reliably parsed into sanitized columns lets run some checks
// and convert it all into an array of JSON objects to push to the back end if all the
// checks pass.
let headers = filteredDictElems[0].split(internalDelimiter);
// check that headers are included in proper order
for (let i = 0; i < jsonKeyNames.length; ++i) {
if (csvHeaderNames[i] !== headers[i]) {
result.errorMessages += 'Row 1 header key at column #' + (i + 1) + ' is a mismatch. Expected row header must contain at least:\n' + printDictKeys;
return result;
}
}
// Convert the ASCII rows of data into an array of JSON obects that omit the header
// row which is not sent to the back end.
for (let i = 1; i < filteredDictElems.length; i++) {
let data = filteredDictElems[i].split(internalDelimiter);
let obj = {};
for (let j = 0; j < data.length && j < jsonKeyNames.length; j++) {
let value = data[j].trim();
if (mandatory[j] === true && value === '') {
result.errorMessages += '\n' + csvHeaderNames[j] + ' at row #' + (i + 1) + ' is empty but requires a value.';
}
obj[jsonKeyNames[j]] = value;
}
result.jsonObjArray.push(obj);
}
if (result.errorMessages !== '') {
// If we have errors, return empty parse result even though some things
// may have parsed properly. We do not want to encourage the caller
// to think the data is good for use.
result.jsonObjArray = [];
}
return result;
}
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