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_fe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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 does one use Firebase to do basic auto-completion/text preview?
For example, imagine a blog backed by Firebase where the blogger can tag posts with tags. As the blogger is tagging a new post, it would be helpful if they could see all currently-existing tags that matched the first few keystrokes they've entered. So if "blog," "black," "blazing saddles," and "bulldogs" were tags, if the user types "bl" they get the first three but not "bulldogs."
My initial thought was that we could set the tag with the priority of the tag, and use startAt, such that our query would look something like:
fb.child('tags').startAt('bl').limitToFirst(5).once('value', function(snap) {
console.log(snap.val())
});
But this would also return "bulldog" as one of the results (not the end of the world, but not the best either). Using startAt('bl').endAt('bl') returns no results. Is there another way to accomplish this?
(I know that one option is that this is something we could use a search server, like ElasticSearch, for -- see https://www.firebase.com/blog/2014-01-02-queries-part-two.html -- but I'd love to keep as much in Firebase as possible.)
Edit
As Kato suggested, here's a concrete example. We have 20,000 users, with their names stored as such:
/users/$userId/name
Oftentimes, users will be looking up another user by name. As a user is looking up their buddy, we'd like a drop-down to populate a list of users whose names start with the letters that the searcher has inputted. So if I typed in "Ja" I would expect to see "Jake Heller," "jake gyllenhaal," "Jack Donaghy," etc. in the drop-down.
I know this is an old topic, but it's still relevant. Based on Neil's answer above, you more easily search doing the following:
fb.child('tags').startAt(queryString).endAt(queryString + '\uf8ff').limit(5)
See Firebase Retrieving Data.
The \uf8ff character used in the query above is a very high code point
in the Unicode range. Because it is after most regular characters in
Unicode, the query matches all values that start with queryString.
As inspired by Kato's comments -- one way to approach this problem is to set the priority to the field you want to search on for your autocomplete and use startAt(), limit(), and client-side filtering to return only the results that you want. You'll want to make sure that the priority and the search term is lower-cased, since Firebase is case-sensitive.
This is a crude example to demonstrate this using the Users example I laid out in the question:
For a search for "ja", assuming all users have their priority set to the lowercased version of the user's name:
fb.child('users').
startAt('ja'). // The user-inputted search
limitToFirst(20).
once('value', function(snap) {
for(key in snap.val()){
if(snap.val()[key].indexOf('ja') === 0) {
console.log(snap.val()[key];
}
}
});
This should only return the names that actually begin with "ja" (even if Firebase actually returns names alphabetically after "ja").
I choose to use limitToFirst(20) to keep the response size small and because, realistically, you'll never need more than 20 for the autocomplete drop-down. There are probably better ways to do the filtering, but this should at least demonstrate the concept.
Hope this helps someone! And it's quite possible the Firebase guys have a better answer.
(Note that this is very limited -- if someone searches for the last name, it won't return what they're looking for. Hence the "best" answer is probably to use a search backend with something like Kato's Flashlight.)
It strikes me that there's a much simpler and more elegant way of achieving this than client side filtering or hacking Elastic.
By converting the search key into its' Unicode value and storing that as the priority, you can search by startAt() and endAt() by incrementing the value by one.
var start = "ABA";
var pad = "AAAAAAAAAA";
start += pad.substring(0, pad.length - start.length);
var blob = new Blob([start]);
var reader = new FileReader();
reader.onload = function(e) {
var typedArray = new Uint8Array(e.target.result);
var array = Array.prototype.slice.call(typedArray);
var priority = parseInt(array.join(""));
console.log("Priority of", start, "is:", priority);
}
reader.readAsArrayBuffer(blob);
You can then limit your search priority to the key "ABB" by incrementing the last charCode by one and doing the same conversion:
var limit = String.fromCharCode(start.charCodeAt(start.length -1) +1);
limit = start.substring(0, start.length -1) +limit;
"ABA..." to "ABB..." ends up with priorities of:
Start: 65666565656565650000
End: 65666665656565650000
Simples!
Based on Jake and Matt's answer, updated version for sdk 3.1. '.limit' no longer works:
firebaseDb.ref('users')
.orderByChild('name')
.startAt(query)
.endAt(`${query}\uf8ff`)
.limitToFirst(5)
.on('child_added', (child) => {
console.log(
{
id: child.key,
name: child.val().name
}
)
})