powershell google sheets restmethod post - powershell

I'm working on a powershell script to get information from a google sheet, change data and then update the info in the google sheet. I have it working were i can get the data, but i'm having a issues posting the data back. Right now im only requesting one row as of now. it comes back as a array of array object in $file. To change the data i do $file[0][2]. This will change the data in column two to what ever i want.
What does the body need to look like? i have tried different things but keep getting a bad request error. My message body looks like this;
$body = #{
"values" = $File
}
EDIT: So i guess use you need to add the "?valueInputOption=RAW" to the end of the URL. So i'm able to change the data, but i still cant use a array to update the whole row. What is the best way to update the whole row?


Use spreadsheets.values.update to update values in a spreadsheet. Check the Writing guide docs for more info and code samples.


Did you try to convert the data you return to JSON format? Most API's (as far as i've seen them) mostly like there data back in JSON.
try this:
$data = $body | ConvertTo-Json
and return $data to google sheets.
i might be wrong but have only done this a few times too.

Related

How to parse the CAP id instead of a hashed value with Weather::NOAA::Alert in Perl

Thanks to the accepted answer in the following solution, I'm now able to extract most of the values I need from NOAA alerts: perl Data::Dumper to extract key values
I would like to parse the "CAP id" as well, however when I try, I receive a hashed value instead of the URL.
For example, using the previously mentioned thread, what I would like to parse is:
http://alerts.weather.gov/cap/wwacapget.php?x=TX12516CBE9400.FloodWarning.12516CC068C0TX.MAFFLWMAF.f21e7ce7cf8e930ab73a110c4d912576
What I get instead: HASH(0x26384c0)
I imagine this is only possible by modifying alert.pm:
https://github.com/mikegrb/Weather-NOAA-Alert/blob/master/lib/Weather/NOAA/Alert.pm and if I've read enough into the issue, it may be on account of XML::Simple?
Typically, I would use XPath to parse XML like data, but for this ATOM format I'm lost.
Ultimately, I'm simply looking to add the parsed variables to an SQL database. With NOAA looking to transition from CAP v1.1 to v1.2 (when, I have no clue), perhaps I should be looking at using something else.

In your previous code, you can get the single key of the hashref $events->{'TXC301'} like this:
my #keys = keys %{$events->{'TXC301'}}
my $alert_url = $keys[0]
Now $alert_url should hold the URL you were mentioning.
Does this answer your question?

How to get column title for each row entry

I am using a row id to obtain the cells for a single row. However, the response returns the column id but not the title of the column. In an attempt to make the code readable for others it would be helpful to also obtain the column title. I was thinking of doing this by using the column id that is obtained in the getRow function but I am not entirely sure how to catch it. Below is the basic getRow function for reference. I appreciate any assistance. Thank you in advance all.
smartsheet.sheets.getRow(options)
.then(function(row) {
console.log(row);
})
.catch(function(error) {
console.log(error);
});

My preferred way of addressing this is to dynamically create a column map on my first GET /sheets/{sheetId} request.
Let's say we have a sheet with three columns: Japan, Cat, and Cafe. Here is one way to make a column map.
const columnMap = makeColumnMap(<your sheet data>);
function makeColumnMap(sheetData){
const colMap = {};
sheetData.columns.map( column => colMap[column.title] = column.id);
return colMap;
}
Now, you can reference your specific columns like this: columnMap["Japan"], columnMap["Cat"], and columnMap["Cafe"] or you can use dot notation if you prefer.
Basically, what we're doing is creating a dictionary to map the column titles to the corresponding column id.

Posting this as a separate answer based on your response (and for easier formatting).
I have a couple specific recommendations that will help you.
Try to consolidate your API calls.
I then want to use that columnID to call getColumns(columnId) to obtain the title.
This is 'work' that you don't need to do. A single GET /sheets/{sheetId} will include all the data you need in one call. It's just a matter of parsing the JSON response.
Use this as an opportunity to improve your ability to work with JSON.
I do not know how to catch the columnId once getRow() is called.
The response is a single object with nested arrays and objects. Learning to navigate the JSON in a way that makes sense to you will come in really handy.
I would recommend saving the response from a GET sheet call as it's own JSON file. From there, you can bring it into your script and play with your logic to reference the values you want.

Extract text from a Wordnik API URL in Google Sheets

Can anyone explain how to import/extract a particular field from the following url into Google Sheets:
Wordnik URL
I'm guessing there is an IMPORTXML query that could do it, but it doesn't have the nodes that IMPORTXML usually uses to import that. Instead the code looks like this:
[{"mi":6.720745180909532,"gram1":"pretty","gram2":"much","wlmi":18.953166108085608},{"mi":6.650496643050408,"gram1":"pretty","gram2":"good","wlmi":18.469078820531266},{"mi":9.839004198061549,"gram1":"pretty","gram2":"darn","wlmi":17.298435816698845},{"mi":7.515791105774376,"gram1":"pretty","gram2":"cool","wlmi":15.515791105774376},{"mi":8.233704272151307,"gram1":"pretty","gram2":"impressive","wlmi":15.210984195651225}]
So if Cell A2 has the URL that produces this as the code, how do I get B2 to give me the text after "gram2" (in this case, "good", "darn", "cool" and "impressive").
Thanks
Tardy

I've come up with a workaround but it is kind of messy. I'd still like an answer to the question, but for reference and in case it's of use to anyone I'll post it here:
Using =IMPORTDATA(E10) (where E10 is the cell with the URL in) gave me an array (I guess based on .csv principles) that I could then manipulate using some other tools, like regexreplace, to get at the relevant bits of text.

Getting data from a website using Invoke-WebRequest

I have a website http://www.rnbtop99.com/chart which I am trying to capture the list of songs, by artist and title.
I have the this simple PowerShell script as a start:
$site = Invoke-WebRequest -Uri 'http://www.rnbtop99.com/chart'
Start-Sleep -Seconds 5
However, I am confused of all the different Tag/Class/ID, how to match them up on the site to using PowerShell's functions and arrangements that I need to use as the various options to capture the data, e.g.
$site.ParsedHtml.body.getElementsByTagName('div')
$site.ParsedHtml.body.getElementsByClassName('?')
Intellisense tells me I can use these options above, Tag/ClassName etc.
In Chrome using the inspect option it says for the artist - class="artist-name ng-binding" however if I run $site.ParsedHtml.body.getElementsByClassName('artist-name ng-binding') then it returns nothing.
Would be good to know also for future the best way for any site, where I can use either the Edge/Chrome the inspect option to get the correct element ID/Tag/ClassName then match up with the correct options to use in PowerShell to capture any data e.g. Document/ParsedHtml/All/Body/InnerHTML/InnerText etc etc.

try this :
$r=iwr http://www.rnbtop99.com/api/chart/charts.json
$j=$r.Content |convertfrom-json
$j.Previous.Tracks |%{"$($_.track.title) BY $($_.track.artist.name)"}

This is my final script pieced together with the help of all in this post. Just 4 lines, very nice. Small, but very effective.
$r=Invoke-WebRequest "http://www.rnbtop99.com/api/chart/charts.json"
#Invoke-WebRequest seems to treat application/json as a byte stream
$j=-join($r.Content-as[char[]]) |convertfrom-json
$j.Previous.Tracks |%{"$($_.track.artist.name) - $($_.track.title)"}

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...