Added user type filters and applied them to all tools

src/pages/tools/csv/change-csv-separator/meta.ts

@@ -8,8 +8,7 @@ export const tool = defineTool('csv', {
   description:
     'Just upload your CSV file in the form below and it will automatically get a new column delimiter character. In the tool options, you can specify which delimiter and quote characters are used in the source CSV file and customize the desired delimiter and quote characters for the output CSV. You can also filter the input CSV before the conversion process and skip blank lines and comment lines.',
   shortDescription: 'Quickly change the CSV column delimiter to a new symbol.',
-  keywords: ['change', 'csv', 'sepa rator'],
-  longDescription:
-    'This tool changes the field separator in CSV (Comma Separated Values) files. This is useful because different programs may use different default separators. While a comma is the most common separator in CSV files, some programs require files to be tab-separated (TSV), semicolon-separated (SSV), pipe-separated (PSV), or have another separation symbol. The default comma may not be so convenient as a delimiter in CSV files because commas are frequently present within fields. In such cases, it can be difficult and confusing to distinguish between commas as delimiters and commas as punctuation symbols. By replacing the comma with another delimiter, you can convert the file into a more easily readable and parsable format. In the options section of this tool, you can configure both the input and output CSV file formats. For the input CSV, you can specify its current delimiter (by default, it is a comma) and also indicate the quotation mark character used to wrap fields. For the output CSV, you can set a new delimiter, choose a new quotation mark character, and optionally enclose all the fields in quotes. Additionally, you have the option to remove empty lines from the input CSV and eliminate comment lines that start with a specified character (usually a hash "#" or double slashes "//"). Csv-abulous!',
+  keywords: ['change', 'csv', 'separator'],
+  userTypes: ['Developers'],
   component: lazy(() => import('./index'))
 });

src/pages/tools/csv/csv-rows-to-columns/meta.ts

@@ -11,5 +11,6 @@ export const tool = defineTool('csv', {
     'This tool converts rows of a CSV (Comma Separated Values) file into columns. For example, if the input CSV data has 6 rows, then the output will have 6 columns and the elements of the rows will be arranged from the top to bottom. In a well-formed CSV, the number of values in each row is the same. However, in cases when rows are missing fields, the program can fix them and you can choose from the available options: fill missing data with empty elements or replace missing data with custom elements, such as "missing", "?", or "x". During the conversion process, the tool also cleans the CSV file from unnecessary information, such as empty lines (these are lines without visible information) and comments. To help the tool correctly identify comments, in the options, you can specify the symbol at the beginning of a line that starts a comment. This symbol is typically a hash "#" or double slash "//". Csv-abulous!.',
   shortDescription: 'Convert CSV rows to columns.',
   keywords: ['csv', 'rows', 'columns', 'transpose'],
+  userTypes: ['Developers'],
   component: lazy(() => import('./index'))
 });

src/pages/tools/csv/csv-to-json/meta.ts

@@ -9,5 +9,6 @@ export const tool = defineTool('csv', {
     'Convert CSV files to JSON format with customizable options for delimiters, quotes, and output formatting. Support for headers, comments, and dynamic type conversion.',
   shortDescription: 'Convert CSV data to JSON format.',
   keywords: ['csv', 'json', 'convert', 'transform', 'parse'],
+  userTypes: ['Developers'],
   component: lazy(() => import('./index'))
 });

src/pages/tools/csv/csv-to-tsv/meta.ts

@@ -11,5 +11,6 @@ export const tool = defineTool('csv', {
   longDescription:
     'This tool transforms Comma Separated Values (CSV) data to Tab Separated Values (TSV) data. Both CSV and TSV are popular file formats for storing tabular data but they use different delimiters to separate values – CSV uses commas (","), while TSV uses tabs ("\t"). If we compare CSV files to TSV files, then CSV files are much harder to parse than TSV files because the values themselves may contain commas, so it is not always obvious where one field starts and ends without complicated parsing rules. TSV, on the other hand, uses just a tab symbol, which does not usually appear in data, so separating fields in TSV is as simple as splitting the input by the tab character. To convert CSV to TSV, simply input the CSV data in the input of this tool. In rare cases when a CSV file has a delimiter other than a comma, you can specify the current delimiter in the options of the tool. You can also specify the current quote character and the comment start character. Additionally, empty CSV lines can be skipped by activating the "Ignore Lines with No Data" option. If this option is off, then empty lines in the CSV are converted to empty TSV lines. The "Preserve Headers" option allows you to choose whether to process column headers of a CSV file. If the option is selected, then the resulting TSV file will include the first row of the input CSV file, which contains the column names. Alternatively, if the headers option is not selected, the first row will be skipped during the data conversion process. For the reverse conversion from TSV to CSV, you can use our Convert TSV to CSV tool. Csv-abulous!',
   keywords: ['csv', 'tsv', 'convert', 'transform', 'parse'],
+  userTypes: ['Developers'],
   component: lazy(() => import('./index'))
 });

src/pages/tools/csv/csv-to-xml/meta.ts

@@ -8,5 +8,6 @@ export const tool = defineTool('csv', {
   description: 'Convert CSV files to XML format with customizable options.',
   shortDescription: 'Convert CSV data to XML format.',
   keywords: ['csv', 'xml', 'convert', 'transform', 'parse'],
+  userTypes: ['Developers'],
   component: lazy(() => import('./index'))
 });

src/pages/tools/csv/csv-to-yaml/meta.ts

@@ -11,5 +11,6 @@ export const tool = defineTool('csv', {
   keywords: ['csv', 'to', 'yaml'],
   longDescription:
     'This tool transforms CSV (Comma Separated Values) data into the YAML (Yet Another Markup Language) data. CSV is a simple, tabular format that is used to represent matrix-like data types consisting of rows and columns. YAML, on the other hand, is a more advanced format (actually a superset of JSON), which creates more human-readable data for serialization, and it supports lists, dictionaries, and nested objects. This program supports various input CSV formats – the input data can be comma-separated (default), semicolon-separated, pipe-separated, or use another completely different delimiter. You can specify the exact delimiter your data uses in the options. Similarly, in the options, you can specify the quote character that is used to wrap CSV fields (by default a double-quote symbol). You can also skip lines that start with comments by specifying the comment symbols in the options. This allows you to keep your data clean by skipping unnecessary lines. There are two ways to convert CSV to YAML. The first method converts each CSV row into a YAML list. The second method extracts headers from the first CSV row and creates YAML objects with keys based on these headers. You can also customize the output YAML format by specifying the number of spaces for indenting YAML structures. If you need to perform the reverse conversion, that is, transform YAML into CSV, you can use our Convert YAML to CSV tool. Csv-abulous!',
+  userTypes: ['Developers'],
   component: lazy(() => import('./index'))
 });

src/pages/tools/csv/find-incomplete-csv-records/meta.ts

@@ -11,6 +11,7 @@ export const tool = defineTool('csv', {
     'Quickly find rows and columns in CSV that are missing values.',
   keywords: ['find', 'incomplete', 'csv', 'records'],
   longDescription:
-    'This tool checks the completeness of CSV (Comma Separated Values) files and identifies incomplete records within the data. It finds rows and columns where one or more values are missing and displays their positions in the output so that you can quickly find and fix your CSV file. A valid CSV file has the same number of values (fields) in all rows and the same number of values (fields) in all columns. If the CSV you load in this tool is complete, the program will notify you with a green badge. If at least one value is missing in any row or column, the program will show a red badge and indicate the exact location of the missing value. If the CSV file has a field with no characters in it, then such a field is called an empty field. It is not a missing field, just empty as it contains nothing. You can activate the "Find Empty Values" checkbox in the options to identify all such fields in the CSV. If the file contains empty lines, you can ignore them with the "Skip Empty Lines" option or check them for completeness along with other lines. You can also configure the delimiter, quote, and comment characters in the options. This allows you to adapt to other file formats besides CSV, such as TSV (Tab Separated Values), SSV (Semicolon Separated Values), or PSV (Pipe Separated Values). If the file has too many incomplete or empty records, you can set a limit on the output messages to display, for example, 5, 10, or 20 messages. If you want to quickly fill in the missing data with default values, you can use our Fill Incomplete CSV Records tool. Csv-abulous!',
+    'This tool analyzes CSV files to identify incomplete records where data is missing. It checks both rows and columns for missing values and provides detailed reports on data quality issues. Useful for data validation and quality assurance.',
+  userTypes: ['Developers'],
   component: lazy(() => import('./index'))
 });

src/pages/tools/csv/insert-csv-columns/meta.ts

@@ -10,6 +10,6 @@ export const tool = defineTool('csv', {
   shortDescription:
     'Quickly insert one or more new columns anywhere in a CSV file.',
   keywords: ['insert', 'csv', 'columns', 'append', 'prepend'],
-  longDescription: '',
+  userTypes: ['Developers'],
   component: lazy(() => import('./index'))
 });

src/pages/tools/csv/swap-csv-columns/meta.ts

@@ -11,5 +11,6 @@ export const tool = defineTool('csv', {
   longDescription:
     'This tool reorganizes CSV data by swapping the positions of its columns. Swapping columns can enhance the readability of a CSV file by placing frequently used data together or in the front for easier data comparison and editing. For example, you can swap the first column with the last or swap the second column with the third. To swap columns based on their positions, select the "Set Column Position" mode and enter the numbers of the "from" and "to" columns to be swapped in the first and second blocks of options. For example, if you have a CSV file with four columns "1, 2, 3, 4" and swap columns with positions "2" and "4", the output CSV will have columns in the order: "1, 4, 3, 2".As an alternative to positions, you can swap columns by specifying their headers (column names on the first row of data). If you enable this mode in the options, then you can enter the column names like "location" and "city", and the program will swap these two columns. If any of the specified columns have incomplete data (some fields are missing), you can choose to skip such data or fill the missing fields with empty values or custom values (specified in the options). Additionally, you can specify the symbol used for comments in the CSV data, such as "#" or "//". If you do not need the commented lines in the output, you can remove them by using the "Delete Comments" checkbox. You can also activate the checkbox "Delete Empty Lines" to get rid of empty lines that contain no visible information. Csv-abulous!',
   keywords: ['csv', 'swap', 'columns'],
+  userTypes: ['Developers'],
   component: lazy(() => import('./index'))
 });

src/pages/tools/csv/transpose-csv/meta.ts

@@ -11,5 +11,6 @@ export const tool = defineTool('csv', {
   keywords: ['transpose', 'csv'],
   longDescription:
     'This tool transposes Comma Separated Values (CSV). It treats the CSV as a matrix of data and flips all elements across the main diagonal. The output contains the same CSV data as the input, but now all the rows have become columns, and all the columns have become rows. After transposition, the CSV file will have opposite dimensions. For example, if the input file has 4 columns and 3 rows, the output file will have 3 columns and 4 rows. During conversion, the program also cleans the data from unnecessary lines and corrects incomplete data. Specifically, the tool automatically deletes all empty records and comments that begin with a specific character, which you can set in the option. Additionally, in cases where the CSV data is corrupted or lost, the utility completes the file with empty fields or custom fields that can be specified in the options. Csv-abulous!',
+  userTypes: ['Developers'],
   component: lazy(() => import('./index'))
 });