Try to MatchAll a string in Power Apps - match

I've been programming in Power Apps for some time now (but I'm not a specialist). I'm trying to pass an array from Power Automate to Power Apps.
I was able to do that with a string and after a few more steps I have the following text:
[{"Messung":1;"Tiegel leer":"16;5469";"Tiegel Probe":"27;6659";"Tiegel Asche":"17;6549"}]";"[{"Messung":2;"Tiegel leer":"16;9654";"Tiegel Probe":"26;5476";"Tiegel Asche":"17;6549"}]";"[{"Messung":3;"Tiegel leer":"17;0256";"Tiegel Probe":"27;9862";"Tiegel Asche":"18;2235"}"]
I would like to convert this back to a data table with a MatchAll command, unfortunately I do not understand the Microsoft explanation for this command at all. I can convert the semicolons in the values ​​back into commas later, but I needed the semicolons (language dependency, programming in German)
My plan was to do the conversion using a ClearCollect(MatchAll....) command.
I seem to be able to get these individually for my individual columns
(; <Tiegel_leer>;<Tiegel_Probe> & <Tiegel_Asche>).
ClearCollect(ResultAG;MatchAll(Label40_1.Text;"(""Messung"":(?[^""]))"));;
ClearCollect(ResultAG;MatchAll(Label40_1.Text;"(""Tiegel Probe"":(?<Tiegel_Probe>[^""]))"));;
ClearCollect(ResultAG;MatchAll(Label40_1.Text;"(""Tiegel leer"":(?<Tiegel_leer>[^""]))"));;
ClearCollect(ResultAG;MatchAll(Label40_1.Text;"(""Tiegel Asche"":(?<Tiegel_Asche>[^""]))"))
But I can't connect these lines with each other and I still don't really understand it. These lines were also created more by trial and error than by understanding.
Would be glad if someone could help me with this.
Thanks for helping


Using MatchAll approach is very old and complex approach to parse the array of objects (data) sent from Power automate to Power apps.
I would suggest you to use the recently released ParseJSON function in Power apps instead of MatchAll function for this.
For detailed information and tutorial, check:
Power Fx: Introducing ParseJSON
ParseJSON function in Power Apps (experimental)
ParseJSON function in Power Apps - Video

Related

Trace32: How get programmatically get maintenance key expiry month and year using t32apinet?

I am trying to get the maintenance key expiry month and year of lauterbach JTAG programmatically. I am using t32apinet for that. Is there a way to read the maintenance information using the api?

You can get the date of you maintenance key via the PRACTICE function LICENSE.DATE(<idx>), where idx is the number of the attached serial number as it appears in the LICENSE.LIST window. Note, that one debug cable, plugged to your PowerDebug, can have up to 5 serial numbers and thus, also up to 5 maintenance key.
To get idx for the currently running PowerView executable use the PRACTICE function LICENSE.getINDEX().
Putting both together you get: LICENSE.DATE(LICENSE.getINDEX())
You can test it by using the PRINT command in PowerView:
PRINT LICENSE.DATE(LICENSE.getINDEX())
You should get a string in the form of YYYY/MM e.g. 2020/07
To use a PRACTICE function via the remote API, use the API function T32_Cmd() together with the TRACE32 command EVAL and then get the result via the API function T32_EvalGetString().
E.g. in C/C++:
char mdate[4096];
T32_Cmd("EVAL LICENSE.DATE(LICENSE.getINDEX())");
T32_EvalGetString(mdate);
printf("End Date: %s\n", mdate);
I am not skilled with Visual Basic .NET at all, but I guess there it should look like this:
Dim mdate As String
T32.Cmd("EVAL LICENSE.DATE(LICENSE.getINDEX())");
T32.EvalGetString(mdate);
Log("End Date: " + mdate)
New versions of TRACE32 support also the slightly nicer API function T32_ExecuteFunction().

Microsoft Access DoCmd.OutputTo not recognizing acOutPutQuery

Right now, I am just working with powershell, but I plan on porting this concept to JScript and using the .NET jsc with ActiveXObject('Access.Application'). I have opened my query using $accessapp.DoCmd.OpenQuery("MyQuery") and I can see that it is loaded using $accessapp.CurrentData.AllQueries("MyQuery"). I would like to use $accessapp.DoCmd.OutputTo(acOutputQuery, "MyQuery",<acFormat>, <file>), but for some reason, I keep getting the error:
Unexpected token 'acOutputQuery' in expression or statement
Just running $accessapp.DoCmd.OutputTo shows that is what is expected:
void OutputTo (AcOutputObjectType, Variant, Variant, Variant, Variant, Variant, Variant, AcExportQuality)
Every resource I have seen, including the Microsoft OutputTo documentation uses the acOutputObjectType in this manner, so I am completely stumped.

Okay, sorry it took me a while to get back. Thanks to #HansUp for leading me down the correct path. I Used the AcOutputObjectType enumeration link he posted as well as the MS Constants Enumeration. I'll give both a powershell example and an MS JScript one. I'll use acOutputQuery and xcFormatTXT as 1 and "MS-DOS" respectively here, but there are many others in the two links above.
powershell:
$acc = New-Object -com Access.Application
$acc.OpenCurrentDatabase("<path_to_file>.accdb")
$acc.DoCmd.OpenQuery("MyQuery")
$acc.DoCmd.OutputTo(1,"MyQuery","MS-DOS", "<path_to_output_file>.txt")
MS JScript:
function writeToTextFile(dbPath,queryName,outputPath){
var acc = new ActiveXObject("Access.Application"); //create new COM instance
acc.OpenCurrentDatabase(dbPath+".accdb"); //open the database
if(!acc.CurrentData.AllQueries(queryName).IsLoaded){
acc.DoCmd.OpenQuery(queryName); //load the query if it is not loaded yet
}
acc.DoCmd.OutputTo(1,queryName,"MS-DOS",outputPath+".txt"); //write to file
}
These two are kind of quick and dirty. Since I have this working in JScript now, I will probably make a writeToFile() function that takes the format as an argument. I considered using an object to map the name string to the enumeration, but I don't know how useful that would actually be. I suppose if you wanted, you could take the output object as an argument, too, but I only plan to use query objects for now.

Apply Command to String-type custom fields with YouTrack Rest API

and thanks for looking!
I have an instance of YouTrack with several custom fields, some of which are String-type. I'm implementing a module to create a new issue via the YouTrack REST API's PUT request, and then updating its fields with user-submitted values by applying commands. This works great---most of the time.
I know that I can apply multiple commands to an issue at the same time by concatenating them into the query string, like so:
Type Bug Priority Critical add Fix versions 5.1 tag regression
will result in
Type: Bug
Priority: Critical
Fix versions: 5.1
in their respective fields (as well as adding the regression tag). But, if I try to do the same thing with multiple String-type custom fields, then:
Foo something Example Something else Bar P0001
results in
Foo: something Example Something else Bar P0001
Example:
Bar:
The command only applies to the first field, and the rest of the query string is treated like its String value. I can apply the command individually for each field, but is there an easier way to combine these requests?
Thanks again!

This is an expected result because all string after foo is considered a value of this field, and spaces are also valid symbols for string custom fields.
If you try to apply this command via command window in the UI, you will actually see the same result.

Such a good question.
I encountered the same issue and have spent an unhealthy amount of time in frustration.
Using the command window from the YouTrack UI I noticed it leaves trailing quotations and I was unable to find anything in the documentation which discussed finalizing or identifying the end of a string value. I was also unable to find any mention of setting string field values in the command reference, grammer documentation or examples.
For my solution I am using Python with the requests and urllib modules. - Though I expect you could turn the solution to any language.
The rest API will accept explicit strings in the POST
import requests
import urllib
from collections import OrderedDict
URL = 'http://youtrack.your.address:8000/rest/issue/{issue}/execute?'.format(issue='TEST-1234')
params = OrderedDict({
'State': 'New',
'Priority': 'Critical',
'String Field': '"Message to submit"',
'Other Details': '"Fold the toilet paper to a point when you are finished."'
})
str_cmd = ' '.join(' '.join([k, v]) for k, v in params.items())
command_url = URL + urllib.urlencode({'command':str_cmd})
result = requests.post(command_url)
# The command result:
# http://youtrack.your.address:8000/rest/issue/TEST-1234/execute?command=Priority+Critical+State+New+String+Field+%22Message+to+submit%22+Other+Details+%22Fold+the+toilet+paper+to+a+point+when+you+are+finished.%22
I'm sad to see this one go unanswered for so long. - Hope this helps!
edit:
After continuing my work, I have concluded that sending all the field
updates as a single POST is marginally better for the YouTrack
server, but requires more effort than it's worth to:
1) know all fields in the Issues which are string values
2) pre-process all the string values into string literals
3) If you were to send all your field updates as a single request and just one of them was missing, failed to set, or was an unexpected value, then the entire request will fail and you potentially lose all the other information.
I wish the YouTrack documentation had some mention or discussion of
these considerations.

importing website to google sheets

I have tried searching everywhere online for a good answer but cannot seem to find anything that matches specifically what i am looking for.
When i use the IMPORTHTML function in google sheets, i end up with data that looks like:
${player.name} (${player.position}, ${team.abbrev}) ${opponent.abbrev} #${opponent_rank} ${minutes} ${pts} ${fgm}-${fga} ${ftm}-${fta} ${p3m}-${p3a} ${treb} ${ast} ${stl} ${blk} ${tov} ${pf} ${fp} $${salary} ${ratio}
the code that i am using looks like this:
=IMPORTHTML("", "table",2)
When I use the same as above (=IMPORTHTML("", "table",2)) only with "0" as my index, it pulls this:
Opp Stats
Player Team Rank Min Pts FGM/A FTM/A 3PM/A Reb Ast Stl Blk Tov Foul FP Cost Value
Basically, I am attempting to pull the table data from this website:
https://www.numberfire.com/nba/fantasy/fantasy-basketball-projections
(because of my rep i cannot post more than two links, however my IMPORTHTML function has the above link input in both functions)
into a google sheet. Please help. any feedback is much appreciated... thanks!

Best advice is to find another Web table you can import. If you do "view source" on the page, you will find that the table content is dynamically populated from a variable named NF_DATA.
You need to create a document script to extract the data you want:
function this_is_test() {
var response = UrlFetchApp.fetch("https://www.numberfire.com/nba/fantasy/fantasy-basketball-projections");
raw_content = response.getContentText();
re = new RegExp('"daily_projections":\\[[^\\]]+','i');
proj = raw_content.match(re);
Logger.log(proj);
}
It will extract all text in-between "daily_projections":[ and ], which is (as of today):
"daily_projections":[{"nba_player_id":"77","nba_game_id":"20015","date":"2016-01-19","nba_team_id":"21","opponent_id":"7","season":"2016","game_play_probability":"1.00","game_start":"1.00","minutes":36.3,"fgm":"8.8","fga":"17.1","p3m":"1.9","p3a":"4.8","ftm":"6.2","fta":"6.9","oreb":"0.8","dreb":"7.2","ast":"4.7","stl":"1.1","blk":"1.2","tov":"2.7","pf":"1.8","pts":"25.3","ts":"0.628","efg":"0.655","oreb_pct":"2.6","dreb_pct":"21.4","treb_pct":"12.4","ast_pct":"23.4","stl_pct":"1.5","blk_pct":"2.4","tov_pct":"12.1","usg":"27.8","ortg":"122.2","drtg":"101.8","nerd":"22.34","star_street_fp":43.08,"star_street_salary":0,"star_street_ratio":0,"draft_street_daily_fp":39.75,"draft_street_daily_salary":0,"draft_street_daily_ratio":0,"fanduel_fp":43.85,"fanduel_salary":9900,"fanduel_ratio":4.43,"draft_kings_fp":46.55,"draft_kings_salary":9900,"draft_kings_ratio":4.7,"fantasy_feud_fp":39.75,"fantasy_feud_salary":153600,"fantasy_feud_ratio":0.26,"fanthrowdown_fp":45.2,"fanthrowdown_salary":0,"fanthrowdown_ratio":0,"fantasy_aces_fp":44.25,"fantasy_aces_salary":7250,"fantasy_aces_ratio":6.1,"draftday_fp":45.25,"draftday_salary":18800,"draftday_ratio":2.41,"fantasy_score_fp":45.6,"fantasy_score_salary":9600,"fantasy_score_ratio":4.75,"draftster_fp":43.75,"draftster_salary":9400,"draftster_ratio":4.65,"yahoo_fp":44.8,"yahoo_salary":52,"yahoo_ratio":0.86,"treb":8},{"nba_player_id":"397","nba_game_id":"20015","date":"2016-01-19","nba_team_id":"21","opponent_id":"7","season":"2016","game_play_probability":"1.00","game_start":"1.00","minutes":35,"fgm":"8.6","fga":"18.0","p3m":"1.3","p3a":"4.1","ftm":"5.9","fta":"7.2","oreb":"1.3","dreb":"5.0","ast":"8.8","stl":"2.0","blk":"0.4","tov":"3.6","pf":"2.2","pts":"24.4","ts":"0.576","efg":"0.592","oreb_pct":"4.6","dreb_pct":"15.3","treb_pct":"10.2","ast_pct":"44.4","stl_pct":"3.0","blk_pct":"0.8","tov_pct":"14.6","usg":"31.3","ortg":"117.8","drtg":"101.2","nerd":"19.75","star_street_fp":44.48,"star_street_salary":0,"star_street_ratio":0,"draft_street_daily_fp":41.33,"draft_street_daily_salary":0,"draft_street_daily_ratio":0,"fanduel_fp":46.36,"fanduel_salary":10500,"fanduel_ratio":4.42,"draft_kings_fp":49.13,"draft_kings_salary":10700,"draft_kings_ratio":4.59,"fantasy_feud_fp":41.33,"fantasy_feud_salary":169800,"fantasy_feud_ratio":0.24,"fanthrowdown_fp":47.33,"fanthrowdown_salary":0,"fanthrowdown_ratio":0,"fantasy_aces_fp":46.68,"fantasy_aces_salary":7800,"fantasy_aces_ratio":5.98,"draftday_fp":47.1,"draftday_salary":20500,"draftday_ratio":2.3,"fantasy_score_fp":48.48,"fantasy_score_salary":9900,"fantasy_score_ratio":4.9,"draftster_fp":45.38,"draftster_salary":9500,"draftster_ratio":4.78,"yahoo_fp":47.01,"yahoo_salary":59,"yahoo_ratio":0.8,"treb":6.3},{"nba_player_id":"279","nba_game_id":"20016","date":"2016-01-19","nba_team_id":"11","opponent_id":"24","season":"2016","game_play_probability":"1.00","game_start":"1.00","minutes":36.7,"fgm":"7.6","fga":"18.1","p3m":"2.5","p3a":"6.9","ftm":"5.5","fta":"6.5","oreb":"1.1","dreb":"5.8","ast":"5.3","stl":"1.8","blk":"0.4","tov":"3.6","pf":"2.4","pts":"22.5","ts":"0.537","efg":"0.610","oreb_pct":"3.3","dreb_pct":"17.6","treb_pct":"10.5","ast_pct":"25.1","stl_pct":"2.5","blk_pct":"0.9","tov_pct":"15.3","usg":"29.1","ortg":"104.1","drtg":"99.2","nerd":"5.26","star_street_fp":38.55,"star_street_salary":0,"star_street_ratio":0,"draft_street_daily_fp":34.13,"draft_street_daily_salary":0,"draft_street_daily_ratio":0,"fanduel_fp":39.53,"fanduel_salary":8700,"fanduel_ratio":4.54,"draft_kings_fp":42.93,"draft_kings_salary":9200,"draft_kings_ratio":4.67,"fantasy_feud_fp":34.13,"fantasy_feud_salary":138800,"fantasy_feud_ratio":0.25,"fanthrowdown_fp":41.13,"fanthrowdown_salary":0,"fanthrowdown_ratio":0,"fantasy_aces_fp":39.88,"fantasy_aces_salary":6500,"fantasy_aces_ratio":6.14,"draftday_fp":41.3,"draftday_salary":16600,"draftday_ratio":2.49,"fantasy_score_fp":41.68,"fantasy_score_salary":8400,"fantasy_score_ratio":4.96,"draftster_fp":39.45,"draftster_salary":8000,"draftster_ratio":4.93,"yahoo_fp":40.78,"yahoo_salary":47,"yahoo_ratio":0.87,"treb":6.9},{"nba_player_id":"2137","nba_game_id":"20014","date":"2016-01-19","nba_team_id":"38","opponent_id":"17","season":"2016","game_play_probability":"1.00","game_start":"1.00","minutes":35,"fgm":"8.0","fga":"16.6","p3m":"0.4","p3a":"1.3","ftm":"4.5","fta":"6.0","oreb":"2.6","dreb":"7.8","ast":"2.2","stl":"1.0","blk":"2.2","tov":"1.9","pf":"2.6","pts":"20.8","ts":"0.541","efg":"0.521","oreb_pct":"8.6","dreb_pct":"24.8","treb_pct":"16.6","ast_pct":"11.5","stl_pct":"1.4","blk_pct":"4.9","tov_pct":"9.4","usg":"27.0","ortg":"107.9","drtg":"103.1","nerd":"5.60","star_street_fp":41.05,"star_street_salary":0,"star_street_ratio":0,"draft_street_daily_fp":36.55,"draft_street_daily_salary":0,"draft_street_daily_ratio":0,"fanduel_fp":41.08,"fanduel_salary":10300,"fanduel_ratio":3.99,"draft_kings_fp":44.25,"draft_kings_salary":10000,"draft_kings_ratio":4.43,"fantasy_feud_fp":36.55,"fantasy_feud_salary":149400,"fantasy_feud_ratio":0.24,"fanthrowdown_fp":41.8,"fanthrowdown_salary":0,"fanthrowdown_ratio":0,"fantasy_aces_fp":41.6,"fantasy_aces_salary":7400,"fantasy_aces_ratio":5.62,"draftday_fp":40.43,"draftday_salary":18200,"draftday_ratio":2.22,"fantasy_score_fp":42.55,"fantasy_score_salary":9700,"fantasy_score_ratio":4.39,"draftster_fp":41.53,"draftster_salary":9200,"draftster_ratio":4.51,"yahoo_fp":41.28,"yahoo_salary":54,"yahoo_ratio":0.76,"treb":10.4},{"nba_player_id":"362","nba_game_id":"20013","date":"2016-01-19","nba_team_id":"15","opponent_id":"16","season":"2016","game_play_probability":"1.00","game_start":"1.00","minutes":34.9,"fgm":"7.3","fga":"15.4","p3m":"1.4","p3a":"3.7","ftm":"4.8","fta":"6.0","oreb":"1.7","dreb":"6.1","ast":"2.3","stl":"0.7","blk":"1.0","tov":"1.7","pf":"2.0","pts":"20.6","ts":"0.571","efg":"0.594","oreb_pct":"6.2","dreb_pct":"19.9","treb_pct":"13.3","ast_pct":"12.1","stl_pct":"1.1","blk_pct":"2.2","tov_pct":"8.5","usg":"26.5","ortg":"115.3","drtg":"104.5","nerd":"11.63","star_street_fp":34.93,"star_street_salary":0,"star_street_ratio":0,"draft_street_daily_fp":30.85,"draft_street_daily_salary":0,"draft_street_daily_ratio":0,"fanduel_fp":35.11,"fanduel_salary":7800,"fanduel_ratio":4.5,"draft_kings_fp":37.05,"draft_kings_salary":7600,"draft_kings_ratio":4.88,"fantasy_feud_fp":30.85,"fantasy_feud_salary":120400,"fantasy_feud_ratio":0.26,"fanthrowdown_fp":36.2,"fanthrowdown_salary":0,"fanthrowdown_ratio":0,"fantasy_aces_fp":35.5,"fantasy_aces_salary":5900,"fantasy_aces_ratio":6.02,"draftday_fp":35.43,"draftday_salary":13950,"draftday_ratio":2.54,"fantasy_score_fp":36.35,"fantasy_score_salary":7000,"fantasy_score_ratio":5.19,"draftster_fp":35.35,"draftster_salary":7200,"draftster_ratio":4.91,"yahoo_fp":35.81,"yahoo_salary":40,"yahoo_ratio":0.9,"treb":7.8},{"nba_player_id":"2249","nba_game_id":"20014","date":"2016-01-19","nba_team_id":"17","opponent_id":"38","season":"2016","game_play_probability":"1.00","game_start":"1.00","minutes":35.7,"fgm":"7.2","fga":"16.6","p3m":"0.9","p3a":"3.2","ftm":"4.6","fta":"6.3","oreb":"1.3","dreb":"2.9","ast":"2.1","stl":"0.9","blk":"0.5","tov":"2.2","pf":"2.4","pts":"20.2","ts":"0.521","efg":"0.530","oreb_pct":"4.3","dreb_pct":"9.6","treb_pct":"6.9","ast_pct":"10.2","stl_pct":"1.3","blk_pct":"1.0","tov_pct":"10.3","usg":"26.7","ortg":"101.6","drtg":"111.5","nerd":"-7.07","star_street_fp":28.68,"star_street_salary":0,"star_street_ratio":0,"draft_street_daily_fp":23.65,"draft_street_daily_salary":0,"draft_street_daily_ratio":0,"fanduel_fp":28.99,"fanduel_salary":6700,"fanduel_ratio":4.33,"draft_kings_fp":30.75,"draft_kings_salary":6900,"draft_kings_ratio":4.46,"fantasy_feud_fp":23.65,"fantasy_feud_salary":113500,"fantasy_feud_ratio":0.21,"fanthrowdown_fp":29.65,"fanthrowdown_salary":0,"fanthrowdown_ratio":0,"fantasy_aces_fp":29.2,"fantasy_aces_salary":4900,"fantasy_aces_ratio":5.96,"draftday_fp":28.43,"draftday_salary":12000,"draftday_ratio":2.37,"fantasy_score_fp":30.3,"fantasy_score_salary":6000,"fantasy_score_ratio":5.05,"draftster_fp":29.23,"draftster_salary":5900,"draftster_ratio":4.95,"yahoo_fp":29.44,"yahoo_salary":29,"yahoo_ratio":1.02,"treb":4.2},{"nba_player_id":"370","nba_game_id":
Note that even this is not complete. You need to somehow map nba_player_id to the appropriate name. Anyway, a lot coding will be involved...

How to get triggers from .nxe files with FieldTrip Toolbox

I'm trying to analyse TMS-EEG data from Nexstim with FieldTrip Toolbox. I want to make a trial matrix from my raw .nxe data. But how I know which triggers to assign for cfg.trialdef.eventvalue, when cfg is the output variable. I'm trying to mimic the same kind of code as you can find from the tutorial: http://www.fieldtriptoolbox.org/tutorial/tms-eeg

I came up with a solution to the problem. With a command event = ft_read_event('filename.nxe') I got a struct with fields: type, value, sample, duration and offset and this is all I need.