We have a number of endpoints that we need burst speeds for which seems to perfectly be what ScopeRateThrottle is for, but we also have a number of endpoints we want to generally rate-limit.
Is UserRateThrottle compatible with ScopedRateThrottle?
Does one override the other? For example, can ScopedRateThrottle have a higher number than UserRateThrottle?
"DEFAULT_THROTTLE_CLASSES": [
"rest_framework.throttling.AnonRateThrottle",
"rest_framework.throttling.ScopedRateThrottle", <--- Maybe this is evaluated by order?
"rest_framework.throttling.UserRateThrottle",
],
"DEFAULT_THROTTLE_RATES": {
"anon": "20/hour",
"user": "60/hour",
"burst": "100/minute",
},
Related
I am trying to group data in multiple stages.
At the moment my query looks like this:
db.captions.aggregate([
{$project: {
"videoId": "$videoId",
"plainText": "$plainText",
"Group1": {$cond: {if: {$eq: ["plainText", {"$regex": /leave\sa\scomment/i}]},
then: "Yes", else: "No"}}}}
])
I am not sure whether it is actually possible to use the $regex operator within a $cond in the aggregation stage. I would appreciate your help very much!
Thanks in advance
UPDATE: Starting with MongoDB v4.1.11, there finally appears to be a nice solution for your problem which is documented here.
Original answer:
As I wrote in the comments above, $regex does not work inside $cond as of now. There is an open JIRA ticket for that but it's, err, well, open...
In your specific case, I would tend to suggest you solve that topic on the client side unless you're dealing with crazy amounts of input data of which you will always only return small subsets. Judging by your query it would appear like you are always going to retrieve all document just bucketed into two result groups ("Yes" and "No").
If you don't want or cannot solve that topic on the client side, then here is something that uses $facet (MongoDB >= v3.4 required) - it's neither particularly fast nor overly pretty but it might help you to get started.
db.captions.aggregate([{
$facet: { // create two stages that will be processed using the full input data set from the "captions" collection
"CallToActionYes": [{ // the first stage will...
$match: { // only contain documents...
"plainText": /leave\sa\scomment/i // that are allowed by the $regex filter (which could be extended with multiple $or expressions or changed to $in/$nin which accept regular expressions, too)
}
}, {
$addFields: { // for all matching documents...
"CallToAction": "Yes" // we create a new field called "CallsToAction" which will be set to "Yes"
}
}],
"CallToActionNo": [{ // similar as above except we're doing the inverse filter using $not
$match: {
"plainText": { $not: /leave\sa\scomment/i }
}
}, {
$addFields: {
"CallToAction": "No" // and, of course, we set the field to "No"
}
}]
}
}, {
$project: { // we got two arrays of result documents out of the previous stage
"allDocuments" : { $setUnion: [ "$CallToActionYes", "$CallToActionNo" ] } // so let's merge them into a single one called "allDocuments"
}
}, {
$unwind: "$allDocuments" // flatten the "allDocuments" result array
}, {
$replaceRoot: { // restore the original document structure by moving everything inside "allDocuments" up to the top
newRoot: "$allDocuments"
}
}, {
$project: { // include only the two relevant fields in the output (and the _id)
"videoId": 1,
"CallToAction": 1
}
}])
As always with the aggregation framework, it may help to remove individual stages from the end of the pipeline and run the partial query in order to get an understanding of what each individual stage does.
The Google Cloud Natural Language API can be used to analyse text and return a syntactic parse tree with each word labeled with parts-of-speech tags.
Is there a way to deturmine if a noun is plural or not?
If Google Cloud NL is able to work out the lemma then perhaps the information is there but not returned through the API?
Update
With the NL API's GA launch, the annotateText endpoint now returns a number key for each token indicating whether word is singular, plural, or dual. For the sentence "There are some cats here," the API returns the following token data for 'cats' (notice that number is PLURAL):
{
"text": {
"content": "cats",
"beginOffset": -1
},
"partOfSpeech": {
"tag": "NOUN",
"aspect": "ASPECT_UNKNOWN",
"case": "CASE_UNKNOWN",
"form": "FORM_UNKNOWN",
"gender": "GENDER_UNKNOWN",
"mood": "MOOD_UNKNOWN",
"number": "PLURAL",
"person": "PERSON_UNKNOWN",
"proper": "PROPER_UNKNOWN",
"reciprocity": "RECIPROCITY_UNKNOWN",
"tense": "TENSE_UNKNOWN",
"voice": "VOICE_UNKNOWN"
},
"dependencyEdge": {
"headTokenIndex": 1,
"label": "DOBJ"
},
"lemma": "cat"
}
See the full documentation here.
Thanks for trying out the NL API.
Right now there isn't a clean way to detect plurals other than to note that the base word is different than the lemma and guess whether it's plural (in English, perhaps it ends in an -s).
However, we plan to release a much better way of detecting morphological information like plurality, so stay tuned.
I'm trying to get a subset of adsets with the corresponding insights for a specific daterange (2015-11-01 to 2015-11-30)
my_campaign_id/?fields=campaign,insights.fields(impressions)
.since(1463752380).until(1463752380)
but I get back
"insights": {
"data": [
{
"impressions": "1470",
"date_start": "2015-11-30",
"date_stop": "2015-12-01"
}
],
which is wrong because it's counting impressions for Dec 1st too, in fact date_stop is "2015-12-01" and not "2015-11-30".
What't the correct way of filtering expanded fields? I couldn't find any other way in the documentation/forums.
The documentation under time_range says that unix timestamp is not supported. You have to use isoformat instead, referring to the local time of you timezone. But I have to admit I have seen an error message that stated that the time had to be defined in isoformat OR unix time.
https://developers.facebook.com/docs/marketing-api/insights/parameters/v2.6
Anyway, try this:
<campaign_id>/insights?fields=impressions&time_range[since]=2015-11-01&time_range[until]=2015-11-30
I have a ES DB storing history records from a process I run every day. Because I want to show only 20 records per page in the history (order by date), I was using pagination (size + from_) combined scroll, which worked just fine. But when I wanted to used sort in the query it didn't work. So I found that scroll with sort don't work. Looking for another alternative I tried the ES helper scan which works fine for scrolling and sorting the results, but with this solution pagination doesn't seem to work, which I don't understand why since the API says that scan sends all the parameters to the underlying search function. So my question is if there is any method to combine the three options.
Thanks,
Ruben
When using the elasticsearch.helpers.scan function, you need to pass preserve_order=True to enable sorting.
(Tested using elasticsearch==7.5.1)
yes, you can combine scroll with sort, but, when you can sort string, you will need change the mapping for it works fine, Documentation Here
In order to sort on a string field, that field should contain one term
only: the whole not_analyzed string. But of course we still need the
field to be analyzed in order to be able to query it as full text.
The naive approach to indexing the same string in two ways would be to
include two separate fields in the document: one that is analyzed for
searching, and one that is not_analyzed for sorting.
"tweet": {
"type": "string",
"analyzer": "english",
"fields": {
"raw": {
"type": "string",
"index": "not_analyzed"
}
}
}
The main tweet field is just the same as before: an analyzed full-text field.
The new tweet.raw subfield is not_analyzed.
Now, or at least as soon as we have reindexed our data, we can use the
tweet field for search and the tweet.raw field for sorting:
GET /_search
{
"query": {
"match": {
"tweet": "elasticsearch"
}
},
"sort": "tweet.raw"
}
all new jsfiddle: http://jsfiddle.net/vJxvc/2/
Currently, i query an api that will return JSON like this. The API cannot be changed for now, which is why I need to work around that.
[
{"timestamp":1406111961, "values":[1236.181, 1157.695, 698.231]},
{"timestamp":1406111970, "values":[1273.455, 1153.577, 693.591]}
]
(could be a lot more lines, of course)
As you can see, each line has a timestamp and then an array of values. My problem is, that i would actually like to transpose that. Looking at the first line alone:
{"timestamp":1406111961, "values":[1236.181, 1157.695, 698.231]}
It contains a few measurements taken at the same time. This would need to become this in my ember project:
{
"sensor_id": 1, // can be derived from the array index
"timestamp": 1406111961,
"value": 1236.181
},
{
"sensor_id": 2,
"timestamp": 1406111961,
"value": 1157.695
},
{
"sensor_id": 3,
"timestamp": 1406111961,
"value": 698.231
}
And those values would have to be pushed into the respective sensor models.
The transformation itself is trivial, but i have no idea where i would put it in ember and how i could alter many ember models at the same time.
you could make your model an array and override the normalize method on your adapter. The normalize method is where you do the transformation, and since your json is an array, an Ember.Array as a model would work.
I am not a ember pro but looking at the manual I would think of something like this:
a = [
{"timestamp":1406111961, "values":[1236.181, 1157.695, 698.231]},
{"timestamp":1406111970, "values":[1273.455, 1153.577, 693.591]}
];
b = [];
a.forEach(function(item) {
item.values.forEach(function(value, sensor_id) {
b.push({
sensor_id: sensor_id,
timestamp: item.timestamp,
value: value
});
});
});
console.log(b);
Example http://jsfiddle.net/kRUV4/
Update
Just saw your jsfiddle... You can geht the store like this: How to get Ember Data's "store" from anywhere in the application so that I can do store.find()?