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Diffstat (limited to 'runtime/ui-react/src/utils/CsvToJson.js')
| -rw-r--r-- | runtime/ui-react/src/utils/CsvToJson.js | 204 |
1 files changed, 0 insertions, 204 deletions
diff --git a/runtime/ui-react/src/utils/CsvToJson.js b/runtime/ui-react/src/utils/CsvToJson.js deleted file mode 100644 index 6d95b3119..000000000 --- a/runtime/ui-react/src/utils/CsvToJson.js +++ /dev/null @@ -1,204 +0,0 @@ -/*- - * ============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; -} |