Modular structure of clamp including controlloop

This commit is the first commit that puts in multi module structure while
changing the existing CLAMP code as little as possible.
It adds a structure where common, models, participant and runtime are direct children under clamp,
and current clamp code is moved under runtime. This runtime directory will host controlloop
runtime code in later commits.

Issue-ID: POLICY-3215
Signed-off-by: Sirisha_Manchikanti <sirisha.manchikanti@est.tech>
Change-Id: I15bc8be92ed020343bff4024c4718fec462c40d7
Signed-off-by: liamfallon <liam.fallon@est.tech>

1 files changed, 0 insertions, 204 deletions

diff --git a/ui-react/src/utils/CsvToJson.js b/ui-react/src/utils/CsvToJson.js
deleted file mode 100644
index 5ec19c9e2..000000000
--- a/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;
-}