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Simple Data Toolkit - Tutorial - GUI - Java
July 12, 2022 at 5:10 PM UTC
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Franklin Powers
Let's suppose you want to create a task that loads a TSV file into a PSV file on a daily basis. This task is meant to be part of Java code, but you are unfamiliar with Java and are unsure of how to write the code. Good news, you can use the Sample Data Toolkit UI to figure out this code for you as follows:
1) Go to the app page for the Simple Data Toolkit UI, at the time of this writing it is here: https://www.vis-software.com/#sdtk
2) Click Choose Files.
3) Find the file you want to convert.
4) Click Open.
5) Select the output type you want, for this tutorial we will select PSV.
6) Then for script, select Java.
7) Then click Download Script.
You will now have some Java code that uses SDTK to convert the file you selected to PSV. You can now either run this script or integrate it with another one.
If you need to install SDTK for Java, you can do it by downloading the latest version from SourceForge and placing it in your class path. At the time of this writing, this can be found here: https://sourceforge.net/projects/simple-data-toolkit/files/0.1.3/sdtk.jar/download
The code will look something like this:
com.sdtk.table.Converter.start().readFile("complex.csv").tsv().textOnly().output().writeFile("complex.psv").psv().execute();
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Simple Data Toolkit - Tutorial - PHP - Convert FileLet's suppose you want to create a task that loads a CSV file into an HTML file on a daily basis. This task is meant to be part of a PHP script, but you are unfamiliar with PHP and are unsure of how to write the code. Good news, you can use the Sample Data Toolkit UI to figure out this code for you as follows: 1) Go to the app page for the Simple Data Toolkit UI, at the time of this writing it is here: https://www.vis-software.com/#sdtk 2) Click Choose Files. 3) Find the file you want to convert. 4) Click Open. 5) Select the output type you want, for this tutorial we will select HTMLTable. 6) Then for script, select PHP. 7) Then click Download Script. You will now have a PHP script that uses SDTK to convert the file you selected to an HTML. You can now either run this script or integrate it with another one. If you need to install SDTK for PHP, you can do it by downloading the latest version from SourceForge, unzipping it, and placing it in your include path. At the time of this writing, this can be found here: https://sourceforge.net/projects/simple-data-toolkit/files/0.1.3/sdtk-php.zip/download The script will look something like this: readFile("ga_sample.csv")->csv()->textOnly()->output()->writeFile("ga_sample.htmltable")->htmlTable()->execute(); readfile("ga_sample.htmltable"); ?>Simple Data Toolkit - Tutorial - GUI - Python ScriptLet's suppose you want to create a task that loads a TSV file into a CSV file on a daily basis. This task is meant to be part of a Python script, but you are unfamiliar with Python and are unsure of how to write the code. Good news, you can use the Sample Data Toolkit UI to figure out this code for you as follows: 1) Go to the app page for the Simple Data Toolkit UI, at the time of this writing it is here: https://www.vis-software.com/#sdtk 2) Click Choose Files. 3) Find the file you want to convert. 4) Click Open. 5) Select the output type you want, for this tutorial we will select SQL. 6) Then for script, select Python. 7) Then click Download Script. You will now have a simple Python script that uses SDTK to convert the file you selected to CSV. You can now either run this script or integrate it with another one. If you need to install SDTK for Python, you can do it like so on the terminal/commandline prompt with the following command: pip install sdtk-visllc The script will look something like this: from sdtk import com_sdtk_table_Converter as sdtk sdtk.start().readFile("complex.csv").tsv().textOnly().output().writeFile("complex.csv").csv().execute();Simple Data Toolkit - Tutorial - GUI - Batch ScriptLet's suppose you want to create a task that loads a TSV file into a CSV file on a daily basis. This task is meant to be part of a Batch script, but you are unfamiliar with Batch and are unsure of how to write the code. Good news, you can use the Sample Data Toolkit UI to figure out this code for you as follows: 1) Go to the app page for the Simple Data Toolkit UI, at the time of this writing it is here: https://www.vis-software.com/#sdtk 2) Click Choose Files. 3) Find the file you want to convert. 4) Click Open. 5) Select the output type you want, for this tutorial we will select CSV. 6) Then for script, select Batch. 7) Then click Download Script. You will now have a simple Batch script that uses STC (Simple Table Converter - A commandline utility that is part of the SDTK) to convert the file you selected to CSV. You can now either run this script or integrate it with another one. If you need to install STC, you can install it via Chocolatey (https://chocolatey.org/) with the following command: choco install stc The script will look something like this: stc "ga_sample.csv" textonly "ga_sample.csv"Simple Data Toolkit - Tutorial - Windows - Scheduled TaskLet's suppose you want to create a task that loads a Pipe Delimited File into a database on a daily basis. The task is to run on Windows and you are using Snowflake for the database. You can do it with SDTK as follows: 1) Download SDTK. For this tutorial, we're going to use the latest version of the Windows Shell Script version as of this writing (0.1.2) which is here: https://sourceforge.net/projects/simple-data-toolkit/files/0.1.3/stc-wsh.js/download 2) Create a new text file called ConvertPSV.cmd 3) Open the file with a text editor (like Notepad or Visual Studio Code) Enter the following text: cscript stc-wsh.js clients.psv clients.sql createorreplace clients (For more info on STC and SDTK see the following URL: https://www.vis-software.com/#sdtk) (For more info on cscript see the following URL: https://docs.microsoft.com/en-us/windows-server/administration/windows-commands/cscript) SET SNOWSQL_PWD=password snowsql -a myorganization-myaccount -u jsmith -f clients.sql -d database -s public -o quiet=true -o friendly=false (For more info on snowsql see the following URL: https://docs.snowflake.com/en/user-guide/snowsql-use.html) 4) Go to the Start Menu. 5) Search for Task Scheduler. (For more info on Task Scheduler see the following URL: https://docs.microsoft.com/en-us/windows/win32/taskschd/about-the-task-scheduler) 6) Open Task Scheduler. 7) Click Create Task. 8) For name enter: Convert PSV to SQL 9) Click Triggers Tab 10) Click New button 11) Select Daily 12) Start start time to 8:00 AM. 13) Click the OK button. 14) Click Actions tab. 15) Click New button 16) For Program/script click Browse. 17) Find the ConvertPSV.cmd script. 18) Click Open. 19) Set Start in to the directory that the ConvertPSV.cmd script is in. 20) Click the OK button. 21) Click the OK button. 22) To test, right click Convert PSV to SQL. 23) Select Run.Atotium News - Business Aggregate - 2024-11-18Title: 401(k) Managed Accounts Are an Underutilized Resource URL: https://www.aaii.com/journal/article/233462-401k-managed-accounts-are-an-underutilized-resource Summary: A study conducted by Cerulli Associates, sponsored by Edelman Financial Engines, reveals the benefits and underutilization of 401(k) managed accounts among retirement plan participants. The study found that participants in managed account programs are nearly three times more confident in their retirement investing strategy. Despite these benefits, only 8% of participants use managed accounts, with a majority unable to correctly define them. The researchers suggest that improved communication and framing these accounts as employee benefits, along with promoting human advisor interactions, could increase adoption rates and enhance the financial well-being of 401(k) participants. Title: Using Bond Ladders and Income Annuities for Retirement Income URL: https://www.aaii.com/journal/article/13928-using-bond-ladders-and-income-annuities-for-retirement-income Summary: The article by Aaron Brask discusses two financial tools—bond ladders and income annuities—that retirees can use to generate stable cash flows and manage risks associated with retirement. It critiques the conventional total-return investing strategy, emphasizing that fixed-income investments like bonds can offer less risky, stable cash flows when held to maturity. Bond ladders are recommended for their simplicity and passive income features, while income annuities are highlighted for their ability to pool longevity risks across individuals, thereby enabling more efficient retirement funding. The article also addresses misconceptions around annuities, detailing their competitiveness and benefits in securing guaranteed lifetime income. Overall, both tools provide retirees with options to structure effective retirement income strategies while minimizing market volatility and actuarial risks. Title: So You Have Decided to Buy Bonds. Here Are Six Charts Showing Your Options. URL: https://www.wsj.com/finance/investing/so-you-have-decided-to-buy-bonds-here-are-six-charts-showing-your-options-d55078fa Summary: The article explores various options for investors considering bonds in the current economic climate. With Treasury bonds becoming more expensive and offering limited potential for capital gains, shifting strategies is advised. Long-term Treasurys have historically delivered better returns during easing cycles, despite risks of price fluctuations. For those looking into corporate debt, although investment-grade bonds offer marginal spreads over Treasurys, opportunities exist, particularly in consumer noncyclical sectors with higher yields. CLOs, mortgage-backed securities, and emerging-market debt present additional options, each with unique risk profiles and benefits. 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For this tutorial, we're going to use the latest version of the Python version as of this writing (0.1.2) which is here: https://sourceforge.net/projects/simple-data-toolkit/files/0.1.3/stc.py/download 2) Create a new text file called ConvertPSV.sh 3) Open the file with a text editor (like Text Edit) Enter the following text: #!/bin/sh python stc.py clients.psv clients.sql createorreplace clients (For more info on STC and SDTK see the following URL: https://www.vis-software.com/#sdtk) export SNOWSQL_PWD=password snowsql -a myorganization-myaccount -u jsmith -f clients.sql -d database -s public -o quiet=true -o friendly=false (For more info on snowsql see the following URL: https://docs.snowflake.com/en/user-guide/snowsql-use.html) 4) Go to the Terminal. 5) Edit the list of cron jobs with the following command: nano crontab -e 6) Add the following to a new line: 0 8 * * * cd ~ && ConvertPSV.sh 7) Press CTRL+O and CTRL+X to save and exit nano.Simple Data Toolkit - Tutorial - Linux - Scheduled TaskLet's suppose you want to create a task that loads a Pipe Delimited File into a database on a daily basis. The task is to run on Linux and you are using Snowflake for the database. You can do it with SDTK as follows: 1) Download SDTK. For this tutorial, we're going to use the latest version of the Python version as of this writing (0.1.2) which is here: https://sourceforge.net/projects/simple-data-toolkit/files/0.1.3/stc.py/download 2) Create a new text file called ConvertPSV.sh 3) Open the file with a text editor (like Text Edit) Enter the following text: #!/bin/sh python stc.py clients.psv clients.sql createorreplace clients (For more info on STC and SDTK see the following URL: https://www.vis-software.com/#sdtk) export SNOWSQL_PWD=password snowsql -a myorganization-myaccount -u jsmith -f clients.sql -d database -s public -o quiet=true -o friendly=false (For more info on snowsql see the following URL: https://docs.snowflake.com/en/user-guide/snowsql-use.html) 4) Go to the Terminal. 5) Edit the list of cron jobs with the following command: nano crontab -e 6) Add the following to a new line: 0 8 * * * cd ~ && ConvertPSV.sh 7) Press CTRL+O and CTRL+X to save and exit nano.Atotium News - Business Aggregate - 2024-11-17Title: Bosses Are Calling Workers Back to the Office. 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The company aims to use renewable or recycled materials across its products while promoting circularity, encouraging customers to extend product lifecycles. Efforts include the provision of spare parts and a peer-to-peer marketplace, reflecting IKEA's commitment to sustainability without compromising product quality. Title: Used EVs Sell for Bargain Prices Now, Putting Owners and Dealers in a Bind URL: https://www.wsj.com/business/autos/used-evs-sell-for-bargain-prices-now-putting-owners-and-dealers-in-a-bind-a44e1718 Summary: The value of used electric vehicles (EVs) has dropped significantly, contrasting with the stable broader used-car market. This decline follows price cuts on new EVs, particularly led by Tesla, aimed at boosting sales but negatively impacting used EV values. Previously, in-demand models like the Tesla Model 3 and Model Y have seen a 25% price drop. Factors contributing to this dip include the influx of off-loaded Teslas from rental company Hertz and competitive lease deals on new models. The plummeting prices present challenges for current owners who find themselves owing more than their cars are worth and potential long-term concerns for the industry as leasing rises sharply. Title: Retail giant buys properties near DIA for $91M URL: https://www.bizjournals.com/denver/news/2024/09/30/amazon-aurora-porteos-dia-ambrose-property-group.html Summary: Amazon has acquired a warehouse and additional land in Aurora, Colorado, near Denver International Airport, for over $91 million. The purchases include a 625,000-square-foot building within a larger industrial development known as DIA Logistics Park, and a separate parcel of vacant land. These acquisitions expand Amazon's footprint in the region, benefitting from a location that already hosts several of the company's facilities. 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We need to include the Field Engine files: <link href="FieldEngine.css" rel="stylesheet" /> <link href="FieldEngine-Defaults.css" rel="stylesheet" /> <script src="fe-browser.js"></script> Then we need to specify the CSS for the hex grid, we’re going to make our borders black and our hexes white: .field-hex .field_view_inner { background-color: black; } .field-hex .field_location { background-color: white; color: black; } Then we specify the scrollable table with a table and the class field-table <table class="field-table" columns="3" rows="3"> <tr><th>Col A</th><th>Col B</th></tr> <tr><td>123</td><td>456</td><td>123</td><td>456</td><td>123</td><td>456</td><td>123</td><td>456</td></tr> <tr><td>789</td><td>012</td><td>789</td><td>012</td><td>789</td><td>012</td><td>789</td><td>012</td></tr> <tr><td>123</td><td>456</td><td>123</td><td>456</td><td>123</td><td>456</td><td>123</td><td>456</td></tr> <tr><td>789</td><td>012</td><td>789</td><td>012</td><td>789</td><td>012</td><td>789</td><td>012</td></tr> <tr><td>123</td><td>456</td><td>123</td><td>456</td><td>123</td><td>456</td><td>123</td><td>456</td></tr> <tr><td>789</td><td>012</td><td>789</td><td>012</td><td>789</td><td>012</td><td>789</td><td>012</td></tr> <tr><td>123</td><td>456</td><td>123</td><td>456</td><td>123</td><td>456</td><td>123</td><td>456</td></tr> <tr><td>789</td><td>012</td><td>789</td><td>012</td><td>789</td><td>012</td><td>789</td><td>012</td></tr> <tr><td>123</td><td>456</td><td>123</td><td>456</td><td>123</td><td>456</td><td>123</td><td>456</td></tr> <tr><td>789</td><td>012</td><td>789</td><td>012</td><td>789</td><td>012</td><td>789</td><td>012</td></tr> </table> And like that you have a scrollable table. Note that columns and rows specify the size of the view of the data.Field Engine – Tutorial – Basic Hex Grid with HTMLOn occassion, we need to display information in hex grids. With Field Engine, this is a relatively painless task. We need to include the Field Engine files: <link href="FieldEngine.css" rel="stylesheet" /> <link href="FieldEngine-Defaults.css" rel="stylesheet" /> <script src="fe-browser.js"></script> Then we need to specify the CSS for the hex grid, we’re going to make our borders black and our hexes white: .field-hex .field_view_inner { background-color: black; } .field-hex .field_location { background-color: white; color: black; } Then we specify the hex grid with a table and the class field-hex, like so: <table class="field-hex" columns="3" rows="3" borderWidth=”1px” borderColor=”black”> <tr><td>123</td><td>456</td><td>123</td><td>456</td><td>123</td><td>456</td><td>123</td><td>456</td></tr> <tr><td>789</td><td>012</td><td>789</td><td>012</td><td>789</td><td>012</td><td>789</td><td>012</td></tr> <tr><td>123</td><td>456</td><td>123</td><td>456</td><td>123</td><td>456</td><td>123</td><td>456</td></tr> <tr><td>789</td><td>012</td><td>789</td><td>012</td><td>789</td><td>012</td><td>789</td><td>012</td></tr> <tr><td>123</td><td>456</td><td>123</td><td>456</td><td>123</td><td>456</td><td>123</td><td>456</td></tr> <tr><td>789</td><td>012</td><td>789</td><td>012</td><td>789</td><td>012</td><td>789</td><td>012</td></tr> <tr><td>123</td><td>456</td><td>123</td><td>456</td><td>123</td><td>456</td><td>123</td><td>456</td></tr> <tr><td>789</td><td>012</td><td>789</td><td>012</td><td>789</td><td>012</td><td>789</td><td>012</td></tr> <tr><td>123</td><td>456</td><td>123</td><td>456</td><td>123</td><td>456</td><td>123</td><td>456</td></tr> <tr><td>789</td><td>012</td><td>789</td><td>012</td><td>789</td><td>012</td><td>789</td><td>012</td></tr> </table> And like magic, we have a hex grid.Field Engine – Tutorial – Basic Vertical Menu with HTMLAt times we need to display a vertical menu for users. This is very easy with Field Engine and can be done with a few simple steps. We need to include the Field Engine files: <link href="FieldEngine.css" rel="stylesheet" /> <link href="FieldEngine-Defaults.css" rel="stylesheet" /> <script src="fe-browser.js"></script> Then we need to specify the CSS for the hex grid, we’re going to make our borders black and our hexes white: .field-hex .field_view_inner { background-color: black; } .field-hex .field_location { background-color: white; color: black; } Then we specify the scrollable table with a ul tag and the class field-vertical-menu <ul class="field-vertical-menu"> <li>Menu</li> <li level="1" onclick="switchToTable">Table</li> <li level="1" onclick="switchToHex">Hex</li> </ul> And we'll have a fully functional vertical menu.Simple Data Toolkit - Tutorial - Git API - PythonSimple Data Toolkit provides an unofficial API for reading files, commits, branches, and repos from the Git API. (At the time of this writing, the release of this is pending for complete support, but it is coming soon) To retrieve all repos a user has using Simple Data Toolkit, we can do the following:
from sdtk import com_sdtk_api_GitAPI
def printer(data, reader):
print(reader.toArrayOfNativeMaps(None))
com_sdtk_api_GitAPI.reposAPI().retrieveData({"owner": "Vis-LLC"}, printer)
To retrieve all branches a repo has using Simple Data Toolkit, we can do the following:
from sdtk import com_sdtk_api_GitAPI
def printer(data, reader):
print(reader.toArrayOfNativeMaps(None))
com_sdtk_api_GitAPI.branchesAPI().retrieveData({"owner": "Vis-LLC", "repo": "Simple-Data-Toolkit"}, printer)
To retrieve all the files in a branch using Simple Data Toolkit, we can do the following:
from sdtk import com_sdtk_api_GitAPI
def printer(data, reader):
print(reader.toArrayOfNativeMaps(None))
com_sdtk_api_GitAPI.filesAPI().retrieveData({"owner": "Vis-LLC", "repo": "Simple-Data-Toolkit", "branch": "main"}, printer)
To retrieve the data in a file using Simple Data Toolkit, we can do the following:
from sdtk import com_sdtk_api_GitAPI
def printerData(data, reader):
print(data)
com_sdtk_api_GitAPI.retrieveAPI().retrieveData({"owner": "Vis-LLC", "repo": "Simple-Data-Toolkit-UI", "branch": "main", "path": "index.html"}, printerData)
We can also login using a personal access token (https://docs.github.com/en/authentication/keeping-your-account-and-data-secure/managing-your-personal-access-tokens)
from sdtk import com_sdtk_api_GitAPI
def printerData(data, reader):
print(data)
com_sdtk_api_GitAPI.instance().setKey("Personal Access Token Here").retrieveAPI().retrieveData({"owner": "Vis-LLC", "repo": "Simple-Data-Toolkit-UI", "branch": "main", "path": "index.html"}, printerData)
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