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View Code? Open in Web Editor NEWElasticsearch/Solr Sandbox for exploring explain information and tweaking
Home Page: http://splainer.io
License: Apache License 2.0
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brimel peiyuan jorgelbg mindis codeaudit mitya777 francois-baptiste toshisam zhifac kaychang anthonywc angelo337 gboyreau kirschd jeancsil urban82 oreillymedia imbra adedayoominiyi raghu777 rahbirul mercileesb jssellars risdenk amitborkar softwaredougsplainer's Issues
Solr 8.4.1 breaks Splainer
I've been updating the TMDB example for Solr to use the lastest version (8.4.1) on this fork. Using that image seems to break all Splainer links example-link with a cryptic message "Error with your query. Double check that the URL is correct". Clicking the learn more in Solr link results in this:
0 7 text_all true true true all id title overview cast directors 10 true aouaoeuCRAZY_STRING!8_______ text_people_notf:"william shatner" 62362iueaiCRAZY_POST_STRING!_______ id title overview cast directors xml text_people_notf:"william shatner" text_people_notf:"william shatner" PhraseQuery(text_people_notf:"william shatner") text_people_notf:"william shatner" LuceneQParser 7.0 5.0 5.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
@worleydl has dug into this a little bit already and found that it works up until v8.2.0. He also noted that it might be related to SOLR-13982.
Tech Debt: Upgrade node tools (npm, grunt) and completely remove bower
Elasticsearch support is now first class, so update site to reflect.
The site's language reflects it's original Solr specific support, and doesn't reflect that Elasticsearch has been supported for 3+ years.
Create Elasticsearch plugin
Splainer for ES could easily be an Elasticsearch plugin. We need to figure out how to do this (preferably without having to create another git repo).
Respectable Readme!
Link to splainer I think should point to splainer.io? Maybe preseeded with a URL to an public Solr?
Can't search for ampersands
Recieved the following email. Splainer doesn't have a way to escape & unfortunately
When trying to do a search for &, splainer seems to get a bit confused, encoding the ampersand and then splitting on the & in the search args:
&hl.snippets=3 &start=0 &facet.sort=count &q= & &group.sort=score+desc &group=trueSo, I end up with an empty &q=…
Any possible workaround for this?
Elasticsearch connection problem
Hi,
I wanted to experiment with Splainer with Elasticsearch, but I am struggling to make it connect to ES.
With http://splainer.io/ and running local splainer app I face the same problem:
"Error with your query. Double check that the URL is correct.
Network Error! (host not found)
or CORS needs to be configured for your Elasticsearch
Enable CORS in elasticsearch.yml:
http.cors.allow-origin: "/https?://(.*?.)?(quepid.com|splainer.io)/"http.cors.enabled: true"
My relevant elasticsearch.yml configuration:
http.cors.allow-origin: ""
http.cors.enabled: true
I needed the "" to let kibana to connect.
I also tried to set other CORS configuration, but they did not help:
http.cors.allow-methods: OPTIONS, HEAD, GET, POST, PUT, DELETE
http.cors.allow-headers: "X-Requested-With, Content-Type, Content-Length, X-User"
Elasticsearch version: 2.3.1
Thanks for your help in advance.
Szabolcs
docRow whichEngine binding
whichEngine gets set on load but doesn't appear to update as the user clicks around the app. Currently this can cause erratic behavior with the explain other functionality. This issue will go away when feature/enable-es-other is merged up but I'd like to get the underlying fix in before doing that to prevent future issues if we add other search engines.
When using Splainer: Report of 500 when highlighting failed with NullPointerException
Gotta love Solr's great error messages. If highlighting is not enabled and you set hl=true, according to Ralph Tice on the Solr mailing list you get a NullPointerException trying to use the highlight component (and from Splainer's PoV an HTTP 500)
Perhaps we should retry the query without hl=true etc when we get a 500
For the search boxes for ES and Solr, use our demo servers!
Right now when you bring up Splainer, you are prompted in grey text to put in a link. However, we have live ES and Solr servers, so lets just plop those in. Remove the "Hey, I need to find my ES or Solr server first to try this out" and help folks trial Splainer quicker.
Connectivity problems with a localhost in Chrome
The Splainer stopped working with a localhost due to recent changes in Chrome around security - CORS, for both Solr and Elasticsearch.
However, the error message says it's a network error and CORS needs to be configured.
It's worth either to fix the issue or change the error message or stop supporting Chrome.
The Firefox works just fine.
My chrome version is: 96.0.4664.45
dockerhub image doesn't start properly
docker run immediately exits (0). rebuilt image locally after uncommenting last line (CMD) and it works. consider resolving issue in repo and docker hub.
thx!
Opensearch error message seem wrong
I m running a local OS instance which works as expected while 'splaining' seem to be reporting that I am using elastic?
Needs a fix or is expected ?
see screenshot below :
Update splainer.io
The splainer.io website is up to date? I can access nested properties in development, but not in production.
Assume fl=* if no fields specified
Often people will paste in a URL without a fl. The current behavior is to only show the id. This is fairly confusing, and new users can't relate to what they are seeing out of Splainer. This probably should be reversed -- show more content so that they can easily recognize what's there. Let the user widdle it down.
Setting group=true & group.field = <field> causes Splainer to load forever
We'd probably need a different interface to support field collpasing. At least give an error message that its not supported.
Cursor in JSON ACE editor not typing where it appears in Safari
Using Elasticsearch w/ the JSON editor. If you open a link in Safari, then try to edit the query in the settings, the cursor does not type where it appears. Seems to work fine in Chrome.
Source maps to help with debugging
For issues like #7 it would be nice to have source maps.
Broken image!!!! Right in the footer!
unable to connect to solr via splainer.io
I have been using splainer.io for a while now and its an amazing tool for troubleshooting solr queries.
In past week, when i was trying to connect to one of our solr instances (only accessible via specific ips), the splainer unable to connect. The same link is opening all okay when i try to connect to in new tab in the same browser. Due to security reasons, i can not share the exact url but this setup was working all okay earlier. I have enclosed the screenshot to highlight the issue.
Error using public splainer.io site with ES 4.5
Hello,
I am now getting the below error when I use the publicly available splainer.io site to reference a ES 5.4 instance. It appears that the query is being parsed incorrectly by splainer.io as the multi-match fields query is the one being flagged.
Per discussions with @epugh it appears that splainer is using an older version of the plainer-search library and that referencing a new version of this library may resolve this issue.
Also, it should be noted that we have previously been successfully using the public splainer.io site to successfully interact with our ES instance and that this issue is new.
error:
HTTP Error: 400 Bad Request
{
"root_cause": [
{
"type": "parsing_exception",
"reason": "Deprecated field [fields] used, expected [stored_fields] instead",
"line": 1,
"col": 2031
}
],
"type": "parsing_exception",
"reason": "Deprecated field [fields] used, expected [stored_fields] instead",
"line": 1,
"col": 2031
}
query:
{
"size": 100,
"from": 0,
"_source": [
"id",
"jobId",
"summary",
"title",
"sectorPaths",
"refreshDate",
"locationCity",
"locationCountry",
"locationAdminDistrict",
"locationRegion",
"locationCityFormatted",
"jobDetailsUrl",
"title",
"clientBrandName",
"locationCity",
"locationAdminDistrict",
"clientBrandId",
"positionId",
"salaryDescription",
"clientBrandId",
"companyLogoUrl",
"positionId",
"clientBrandName",
"employmentTypeId",
"employmentTypeIds",
"salaryBandId",
"yearsExperienceBandId",
"isHighlighted",
"score"
],
"query": {
"function_score": {
"query": {
"bool": {
"must": {
"multi_match": {
"query": "full stack developer",
"fields": [
"idx_title_en^50",
"idx_title_en.graded_a^40",
"idx_title_en.graded_b^20",
"idx_title_en.graded_c^0.75",
"idx_title_en.graded_d^0.5",
"idx_description_en^1",
"idx_summary_en^1.5",
"companyDisplayName^1",
"skills",
"title^0.5",
"title.graded_a^0.4",
"title.graded_b^0.2",
"title.graded_c^0.007",
"title.graded_d^0.005",
"indexedSummary^0.3",
"description^0.1"
],
"minimum_should_match": "2<50%",
"type": "most_fields",
"zero_terms_query": "all"
}
},
"must_not": [
{
"match_none": {}
}
],
"filter": [
{
"match_all": {}
},
{
"geo_distance": {
"distance": "30mi",
"locationLatLon": "29.7604267, -95.3698028"
}
}
],
"should": [
{
"multi_match": {
"minimum_should_match": "3<75%",
"query": "full stack developer",
"fields": [
"idx_title_en^50",
"idx_title_en.graded_a^40",
"idx_title_en.graded_b^20",
"idx_description_en^1",
"idx_summary_en^1.5",
"companyDisplayName^1"
],
"use_dis_max": "true",
"slop": "2",
"type": "phrase"
}
},
{
"multi_match": {
"query": "full stack developer",
"fields": [
"idx_title_en.shingle^50",
"idx_description_en.shingle^1",
"idx_summary_en.shingle^1.5",
"companyDisplayName.shingle^1",
"skills.shingle",
"indexedSummary.shingle^0.3",
"description.shingle^0.1"
],
"minimum_should_match": "2<50%",
"type": "most_fields",
"zero_terms_query": "all"
}
}
]
}
},
"functions": [
{
"filter": {
"exists": {
"field": "locationLatLon"
}
},
"exp": {
"locationLatLon": {
"origin": "29.7604267, -95.3698028",
"scale": "20mi",
"offset": "10mi",
"decay": 0.8
}
},
"weight": 2
},
{
"exp": {
"refreshDate": {
"scale": "180d",
"decay": 0.65
}
},
"weight": 1.2
}
]
}
}
}
Implement Explain Other for Elasticsearch
We currently have the "explain other" feature disabled for Elasticsearch. Splainer-search supports this, so we should turn it on at some point.
Inner Match Explains
Its often useful to see the statistics driving a match's score. Basically, to lay the TF*IDF calculation bare for the user. We have some code that parses out this information (everithing under "weight")
"description":"weight(catch_line:deer in 17282) [DefaultSimilarity], result of:",
"details":[{
"match":true,
"value":2.6603017,
"description":"fieldWeight in 17282, product of:",
"details":[{
"match":true,
"value":1.0,
"description":"tf(freq=1.0), with freq of:",
"details":[{
"match":true,
"value":1.0,
"description":"termFreq=1.0"}]},
{
"match":true,
"value":8.512965,
"description":"idf(docFreq=10, maxDocs=20148)"},
{
"match":true,
"value":0.3125,
"description":"fieldNorm(doc=17282)"}]}]}
We need to display it. Likely as a hover over each match that breaks down the strength of the match in terms of the calculation above.
help. B&H Photo
as per your business partner Eric P. i was instructed to write this here.
we would like an option that presents percentage numbers next to the thermometer bars that display the weight each search term has
were having problems adding it to the stackedChart.js file.
thank you!
Documentation (especially the displayed fields area)
We should have some basic documentation to help folks. Or perhaps a walkthrough.
Specifically, the "displayed fields" area mostly works like fl, however you can prefix modifiers like "id:" (this field is the id field) or "title:" (this field is a title)
Clean up "explain other"
You can click into the detailed explain of one doc and fill in a Solr query. This will pull back missing documents and explain why they're not scored as highly. Very useful, but this feature needs to be cleaned up before blogging about it.
Stuff like
- Say "no results" when 0 results found for explain other query
- give an example of solr query syntax
- make it clear you can select a doc for diffing its score vs the current one
- Maybe call this out more as a capability in the main interface (its a bit hidden)
[Question] Getting strange error regarding X-Content-Type-Options: nosniff
Thank you for this cool project!
I've tried it with our Solr 9.1 installation, but I am getting a JavaScript error regarding X-Content-Type-Options: nosniff and Mime-Type text/plain confliect in the browser console.
Did I miss something? I am really not sure how to debug this issue. If I could track down the root cause, I'd love to submit a PR with a fix!
Thank you,
Mirko
Eliminate use of Promise.create()
promise.js was removed from the splainer-search library, and is not used in Quepid. It still is used in three places in this project. We'd like to remove it completely, as it appears to make "grunt test" fail, somethign about the browser runing the tests dones't work. Removing promise.js makes the tests run, but many fail due to Promise.create() being needed!
Remove some Tech Debt!!!
Default ES query with _all fails on ES5 etc...
On the splainer.io site the default ES query JSON no longer works. The _all is no longer used.
Parsing of a Solr query with a percent (%) sign generates extra characters '25'
Example query:
http://localhost:8983/solr/zSlide18/select?defType=edismax&q=George&mm=100%
Parse:
defType=edismax
&q=George
&mm=100%25
can't handle elasticsearch template queries
When given a url to a template query rather than an ordinary search (e.g., movies/_search/template) splainer puts the '_source' key for selecting displayed fields in the wrong place, resulting in a 400 response with a cryptic message. This could be fixed by identifying from the url that the query is a template query and responding accordingly.
Multivalue Fields are a bit funky
We show an array of length 1. (Does Solr always return an array on MV fields). And for some reason highlighting doesn't work in the case that I saw. This is ok, but we should be able to do better.
Change favicon away from yeoman
Repair ES TMDB index
Not all fields from the o19s/es-tmdb repo are present (cast is an example). Is this due to people defacing the instance? Should we move it behind a proper proxy
feature request: Should be able to 'start over' with an as-run solr query without re-loading splainer.
Having the quepid developer settings is nice, but if you are going back-and-forth between different quepid cases or juts using straight-up solr admin, it is easier to plop in the whole url.
Support Elasticsearch 5.x
Just as Quepid has a configuration option to support ES 5 vs 2, w should add that here. Here's what we should do
Acceptance Criteria
- In the "start" screen, there should be a version dropdown for
0.x-2.x. or5.0+next to the "URL" box. It should be unselected at first, but mandatory that it is selected. - If the wrong version is selected is it possible to return an error indicating the user likely selected the wrong version (or self correct if the error is regards to fields vs stored_fields?)
- In the "tweak" side pull out, add a checkbox or selection for ES version. Changing the version should the persist like other settings
- Add the
esVerto the splainer URL so I can send a URL to a friend so they can see the same results I see
Splainer for Solr is adding pseudofields to the hl.fl, throwing an exception
When using the unified highlighter, splainer will automatically add all fields to both the fl list AND the hl.fl list. When using pseudofields (such as 'f:$dateBoost') in the Displayed Fields for Splainer, the highlighter does not see the pseudofield, and it throws a missing field exception.
Results are not filled in on the website
Problem Description
We run the latest version of splainer in a local docker container and try to send request to our solr which runs on localhost:8983. Currently we have collections in german and french and depending on the documents we use different requesthandlers. Depending on the documents, we basically have two different setups. For both setups, I see the results of the call in the debugging window, but only for one setup are the results filled in. For the other setup, only '0' are displayed with no further information. Unfortunately, I could not locate the difference in the responses which lead to the issue.
Setup
Browser: Firefox 100.0
Solr: 8.11.1
Working Collection and Requesthandler
Here is the specification for the working requesthandler of the functioning collection:
<requestHandler name="/select" class="solr.SearchHandler">
<lst name="defaults">
<str name="echoParams">explicit</str>
<str name="wt">json</str>
<str name="defType">edismax</str>
<str name="qf">
keywords_exact^100
keywords_sharp^10
keywords
</str>
<str name="sow">false</str>
<str name="df">text</str>
<str name="q.alt">*:*</str>
<str name="rows">10</str>
<str name="fl">id</str>
<!-- Faceting defaults -->
<str name="facet">off</str>
</lst>
</requestHandler>and got the following response
{
"responseHeader":{
"zkConnected":true,
"status":0,
"QTime":0,
"params":{
"q":"maison",
"json.wrf":"angular.callbacks._9",
"debug":"true",
"hl":"false",
"fl":"id id keywords_exact",
"rows":["5",
"10"],
"wt":"json",
"debug.explain.structured":"true"}},
"response":{"numFound":7,"start":0,"numFoundExact":true,"docs":[
{
"id":"blta2e4ef16455f1915",
"keywords_exact":"cheveux, coloration, teinture, foncer, syoss, brillance, hommes, couverture, cheveux blancs, éclaircir, maison, racines, dissimuler, rouge, brun, noir, cuivre, couleur des cheveux, colorations, couleurs, teintures, coiffeur, teinture des cheveux, coloration des cheveux, schwarzkopf"},
{
"id":"blt7408631a0c78bdff",
"keywords_exact":"purificateur d'air, humidificateur, pollen, allergies, filtres, filtre à charbon actif, évaporateur, laveuse d'air, filtre à air, Aha, Ecarf, air respirable, santé, air sain, air frais, air pur, particules, particules de poussière, polluants, air ambiant, maison, salon, chambre, chambre d'enfants, enfants, qualité de l'air, poils d'animaux, poussière domestique, moisissure, moisissures, poussière fine, rhume des foins, asthme, spores, humidité, climatiseurs, Purificateur d'air, Humidificateur d'air"},
{
"id":"blt4bfc0c1335cd43b6"},
{
"id":"blt4be2b8027db749db"},
{
"id":"blt3945710940a87861"}]
},
"debug":{
"rawquerystring":"maison",
"querystring":"maison",
"parsedquery":"+DisjunctionMaxQuery(((keywords_exact:maison)^100.0 | keywords:maison | (keywords_sharp:maison)^10.0))",
"parsedquery_toString":"+((keywords_exact:maison)^100.0 | keywords:maison | (keywords_sharp:maison)^10.0)",
"explain":{
"blta2e4ef16455f1915":{
"match":true,
"value":251.82678,
"description":"max of:",
"details":[{
"match":true,
"value":251.82678,
"description":"weight(keywords_exact:maison in 118) [SchemaSimilarity], result of:",
"details":[{
"match":true,
"value":251.82678,
"description":"score(freq=1.0), computed as boost * idf * tf from:",
"details":[{
"match":true,
"value":100.0,
"description":"boost"},
{
"match":true,
"value":5.152135,
"description":"idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:",
"details":[{
"match":true,
"value":2,
"description":"n, number of documents containing term"},
{
"match":true,
"value":431,
"description":"N, total number of documents with field"}]},
{
"match":true,
"value":0.48878145,
"description":"tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:",
"details":[{
"match":true,
"value":1.0,
"description":"freq, occurrences of term within document"},
{
"match":true,
"value":1.2,
"description":"k1, term saturation parameter"},
{
"match":true,
"value":0.75,
"description":"b, length normalization parameter"},
{
"match":true,
"value":25.0,
"description":"dl, length of field"},
{
"match":true,
"value":30.164734,
"description":"avgdl, average length of field"}]}]}]}]},
"blt7408631a0c78bdff":{
"match":true,
"value":211.6932,
"description":"max of:",
"details":[{
"match":true,
"value":211.6932,
"description":"weight(keywords_exact:maison in 2) [SchemaSimilarity], result of:",
"details":[{
"match":true,
"value":211.6932,
"description":"score(freq=1.0), computed as boost * idf * tf from:",
"details":[{
"match":true,
"value":100.0,
"description":"boost"},
{
"match":true,
"value":5.152135,
"description":"idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:",
"details":[{
"match":true,
"value":2,
"description":"n, number of documents containing term"},
{
"match":true,
"value":431,
"description":"N, total number of documents with field"}]},
{
"match":true,
"value":0.41088444,
"description":"tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:",
"details":[{
"match":true,
"value":1.0,
"description":"freq, occurrences of term within document"},
{
"match":true,
"value":1.2,
"description":"k1, term saturation parameter"},
{
"match":true,
"value":0.75,
"description":"b, length normalization parameter"},
{
"match":true,
"value":38.0,
"description":"dl, length of field"},
{
"match":true,
"value":30.164734,
"description":"avgdl, average length of field"}]}]}]}]},
"blt4bfc0c1335cd43b6":{
"match":true,
"value":33.901108,
"description":"max of:",
"details":[{
"match":true,
"value":2.863626,
"description":"weight(keywords:maison in 575) [SchemaSimilarity], result of:",
"details":[{
"match":true,
"value":2.863626,
"description":"score(freq=4.0), computed as boost * idf * tf from:",
"details":[{
"match":true,
"value":3.1155336,
"description":"idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:",
"details":[{
"match":true,
"value":5,
"description":"n, number of documents containing term"},
{
"match":true,
"value":123,
"description":"N, total number of documents with field"}]},
{
"match":true,
"value":0.91914463,
"description":"tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:",
"details":[{
"match":true,
"value":4.0,
"description":"freq, occurrences of term within document"},
{
"match":true,
"value":1.2,
"description":"k1, term saturation parameter"},
{
"match":true,
"value":0.75,
"description":"b, length normalization parameter"},
{
"match":true,
"value":12.0,
"description":"dl, length of field"},
{
"match":true,
"value":208.20325,
"description":"avgdl, average length of field"}]}]}]},
{
"match":true,
"value":33.901108,
"description":"weight(keywords_sharp:maison in 575) [SchemaSimilarity], result of:",
"details":[{
"match":true,
"value":33.901108,
"description":"score(freq=1.0), computed as boost * idf * tf from:",
"details":[{
"match":true,
"value":10.0,
"description":"boost"},
{
"match":true,
"value":4.4308167,
"description":"idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:",
"details":[{
"match":true,
"value":1,
"description":"n, number of documents containing term"},
{
"match":true,
"value":125,
"description":"N, total number of documents with field"}]},
{
"match":true,
"value":0.765121,
"description":"tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:",
"details":[{
"match":true,
"value":1.0,
"description":"freq, occurrences of term within document"},
{
"match":true,
"value":1.2,
"description":"k1, term saturation parameter"},
{
"match":true,
"value":0.75,
"description":"b, length normalization parameter"},
{
"match":true,
"value":1.0,
"description":"dl, length of field"},
{
"match":true,
"value":128.888,
"description":"avgdl, average length of field"}]}]}]}]},
"blt4be2b8027db749db":{
"match":true,
"value":2.8175404,
"description":"max of:",
"details":[{
"match":true,
"value":2.8175404,
"description":"weight(keywords:maison in 581) [SchemaSimilarity], result of:",
"details":[{
"match":true,
"value":2.8175404,
"description":"score(freq=3.0), computed as boost * idf * tf from:",
"details":[{
"match":true,
"value":3.1155336,
"description":"idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:",
"details":[{
"match":true,
"value":5,
"description":"n, number of documents containing term"},
{
"match":true,
"value":123,
"description":"N, total number of documents with field"}]},
{
"match":true,
"value":0.9043524,
"description":"tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:",
"details":[{
"match":true,
"value":3.0,
"description":"freq, occurrences of term within document"},
{
"match":true,
"value":1.2,
"description":"k1, term saturation parameter"},
{
"match":true,
"value":0.75,
"description":"b, length normalization parameter"},
{
"match":true,
"value":4.0,
"description":"dl, length of field"},
{
"match":true,
"value":208.20325,
"description":"avgdl, average length of field"}]}]}]}]},
"blt3945710940a87861":{
"match":true,
"value":2.8175404,
"description":"max of:",
"details":[{
"match":true,
"value":2.8175404,
"description":"weight(keywords:maison in 582) [SchemaSimilarity], result of:",
"details":[{
"match":true,
"value":2.8175404,
"description":"score(freq=3.0), computed as boost * idf * tf from:",
"details":[{
"match":true,
"value":3.1155336,
"description":"idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:",
"details":[{
"match":true,
"value":5,
"description":"n, number of documents containing term"},
{
"match":true,
"value":123,
"description":"N, total number of documents with field"}]},
{
"match":true,
"value":0.9043524,
"description":"tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:",
"details":[{
"match":true,
"value":3.0,
"description":"freq, occurrences of term within document"},
{
"match":true,
"value":1.2,
"description":"k1, term saturation parameter"},
{
"match":true,
"value":0.75,
"description":"b, length normalization parameter"},
{
"match":true,
"value":4.0,
"description":"dl, length of field"},
{
"match":true,
"value":208.20325,
"description":"avgdl, average length of field"}]}]}]}]}},
"QParser":"ExtendedDismaxQParser",
"altquerystring":null,
"boost_queries":null,
"parsed_boost_queries":[],
"boostfuncs":null,
"timing":{
"time":0.0,
"prepare":{
"time":0.0,
"query":{
"time":0.0},
"facet":{
"time":0.0},
"facet_module":{
"time":0.0},
"mlt":{
"time":0.0},
"highlight":{
"time":0.0},
"stats":{
"time":0.0},
"expand":{
"time":0.0},
"terms":{
"time":0.0},
"debug":{
"time":0.0}},
"process":{
"time":0.0,
"query":{
"time":0.0},
"facet":{
"time":0.0},
"facet_module":{
"time":0.0},
"mlt":{
"time":0.0},
"highlight":{
"time":0.0},
"stats":{
"time":0.0},
"expand":{
"time":0.0},
"terms":{
"time":0.0},
"debug":{
"time":0.0}}}}}The website view looks like this:
The not working Collection
This is the requesthandler for this collection:
<requestHandler name="/select" class="solr.SearchHandler">
<lst name="defaults">
<str name="echoParams">explicit</str>
<str name="wt">json</str>
<str name="defType">edismax</str>
<str name="qf">
nameWithoutManufacturer^67
productName^10 <!-- new -->
tags^71
subtitle^5 <!-- new -->
productTypePimList^10 <!-- new -->
manufacturerName^100
attributesStemmed^0.005 <!-- new -->
attributesStemmedLowPriority^0.001 <!-- new -->
attributesUnstemmed^0.005 <!-- new -->
attributesUnstemmedLowPriority^0.001 <!-- new -->
productNameAddon^0.001 <!-- new -->
model<!-- new -->
attributesUnclassified^0.0001 <!-- new -->
sku
skus
manufacturerProductId
manufacturerProductIds
ean
eans
</str>
<str name="sow">true</str>
<str name="tie">0.9</str>
<str name="mm">100%</str>
<str name="q.alt">*:*</str>
<str name="rows">50</str>
<str name="fl">sku,skus</str>
<!-- Faceting defaults -->
<str name="facet">on</str>
<str name="facet.missing">false</str>
<str name="facet.mincount">1</str>
<str name="facet.limit">700</str>
<!-- Spell Checking defaults -->
<str name="spellcheck.dictionary">default</str>
<str name="spellcheck.dictionary">freq</str>
<str name="spellcheck">false</str>
<str name="spellcheck.extendedResults">true</str>
<str name="spellcheck.count">3</str>
<str name="spellcheck.alternativeTermCount">2</str>
<str name="spellcheck.maxResultsForSuggest">3</str>
<str name="spellcheck.collate">true</str>
<str name="spellcheck.collateExtendedResults">true</str>
<str name="spellcheck.maxCollationTries">5</str>
<str name="spellcheck.onlyMorePopular">false</str>
<str name="spellcheck.maxCollations">3</str>
</lst>
<arr name="last-components">
<str>spellcheck</str>
</arr>
</requestHandler>and this is the response:
{
"responseHeader":{
"zkConnected":true,
"status":0,
"QTime":5,
"params":{
"q":"family",
"Art":"trade",
"json.wrf":"angular.callbacks._a",
"debug":"true",
"hl":"false",
"fl":"id sku name boostCount_checkouts",
"rows":["5",
"10"],
"wt":"json",
"debug.explain.structured":"true"}},
"response":{"numFound":4,"start":0,"numFoundExact":true,"docs":[
{
"sku":"749234",
"name":"Reisenthel Sac Family Red Rouge",
"boostCount_checkouts":1},
{
"sku":"749237",
"name":"Reisenthel Sac Family Black Noir",
"boostCount_checkouts":0},
{
"sku":"749235",
"name":"Reisenthel Sac Family Navy Bleu",
"boostCount_checkouts":0},
{
"sku":"993485",
"name":"Gastroback Raclette Fondue Set Family and Friends",
"boostCount_checkouts":0}]
},
"facet_counts":{
"facet_queries":{},
"facet_fields":{},
"facet_ranges":{},
"facet_intervals":{},
"facet_heatmaps":{}},
"debug":{
"rawquerystring":"family",
"querystring":"family",
"parsedquery":"+DisjunctionMaxQuery(((attributesStemmedLowPriority:family)^0.001 | (attributesUnstemmed:family)^0.005 | skus:family | (manufacturerName:family)^100.0 | manufacturerProductIds:family | (productName:family)^10.0 | eans:family | (tags:family)^71.0 | (productNameAddon:family)^0.001 | ean:family | (productTypePimList:family)^10.0 | manufacturerProductId:family | (subtitle:family)^5.0 | (nameWithoutManufacturer:family)^67.0 | model:family | (attributesUnclassified:family)^1.0E-4 | sku:family | (attributesStemmed:family)^0.005 | (attributesUnstemmedLowPriority:family)^0.001)~0.9)",
"parsedquery_toString":"+((attributesStemmedLowPriority:family)^0.001 | (attributesUnstemmed:family)^0.005 | skus:family | (manufacturerName:family)^100.0 | manufacturerProductIds:family | (productName:family)^10.0 | eans:family | (tags:family)^71.0 | (productNameAddon:family)^0.001 | ean:family | (productTypePimList:family)^10.0 | manufacturerProductId:family | (subtitle:family)^5.0 | (nameWithoutManufacturer:family)^67.0 | model:family | (attributesUnclassified:family)^1.0E-4 | sku:family | (attributesStemmed:family)^0.005 | (attributesUnstemmedLowPriority:family)^0.001)~0.9",
"explain":{
"749234":{
"match":true,
"value":365.41138,
"description":"max plus 0.9 times others of:",
"details":[{
"match":true,
"value":40.911392,
"description":"weight(productName:family in 7) [SchemaSimilarity], result of:",
"details":[{
"match":true,
"value":40.911392,
"description":"score(freq=1.0), computed as boost * idf * tf from:",
"details":[{
"match":true,
"value":10.0,
"description":"boost"},
{
"match":true,
"value":8.052119,
"description":"idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:",
"details":[{
"match":true,
"value":4,
"description":"n, number of documents containing term"},
{
"match":true,
"value":14131,
"description":"N, total number of documents with field"}]},
{
"match":true,
"value":0.5080823,
"description":"tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:",
"details":[{
"match":true,
"value":1.0,
"description":"freq, occurrences of term within document"},
{
"match":true,
"value":1.2,
"description":"k1, term saturation parameter"},
{
"match":true,
"value":0.75,
"description":"b, length normalization parameter"},
{
"match":true,
"value":2.0,
"description":"dl, length of field"},
{
"match":true,
"value":2.6938646,
"description":"avgdl, average length of field"}]}]}]},
{
"match":true,
"value":323.1938,
"description":"weight(nameWithoutManufacturer:family in 7) [SchemaSimilarity], result of:",
"details":[{
"match":true,
"value":323.1938,
"description":"score(freq=1.0), computed as boost * idf * tf from:",
"details":[{
"match":true,
"value":67.0,
"description":"boost"},
{
"match":true,
"value":8.159629,
"description":"idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:",
"details":[{
"match":true,
"value":4,
"description":"n, number of documents containing term"},
{
"match":true,
"value":15735,
"description":"N, total number of documents with field"}]},
{
"match":true,
"value":0.5911774,
"description":"tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:",
"details":[{
"match":true,
"value":1.0,
"description":"freq, occurrences of term within document"},
{
"match":true,
"value":1.2,
"description":"k1, term saturation parameter"},
{
"match":true,
"value":0.75,
"description":"b, length normalization parameter"},
{
"match":true,
"value":4.0,
"description":"dl, length of field"},
{
"match":true,
"value":9.194471,
"description":"avgdl, average length of field"}]}]}]},
{
"match":true,
"value":5.9970293,
"description":"weight(model:family in 7) [SchemaSimilarity], result of:",
"details":[{
"match":true,
"value":5.9970293,
"description":"score(freq=2.0), computed as boost * idf * tf from:",
"details":[{
"match":true,
"value":8.159629,
"description":"idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:",
"details":[{
"match":true,
"value":4,
"description":"n, number of documents containing term"},
{
"match":true,
"value":15735,
"description":"N, total number of documents with field"}]},
{
"match":true,
"value":0.7349634,
"description":"tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:",
"details":[{
"match":true,
"value":2.0,
"description":"freq, occurrences of term within document"},
{
"match":true,
"value":1.2,
"description":"k1, term saturation parameter"},
{
"match":true,
"value":0.75,
"description":"b, length normalization parameter"},
{
"match":true,
"value":10.0,
"description":"dl, length of field"},
{
"match":true,
"value":21.366318,
"description":"avgdl, average length of field"}]}]}]}]},
"749237":{
"match":true,
"value":365.41138,
"description":"max plus 0.9 times others of:",
"details":[{
"match":true,
"value":40.911392,
"description":"weight(productName:family in 9) [SchemaSimilarity], result of:",
"details":[{
"match":true,
"value":40.911392,
"description":"score(freq=1.0), computed as boost * idf * tf from:",
"details":[{
"match":true,
"value":10.0,
"description":"boost"},
{
"match":true,
"value":8.052119,
"description":"idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:",
"details":[{
"match":true,
"value":4,
"description":"n, number of documents containing term"},
{
"match":true,
"value":14131,
"description":"N, total number of documents with field"}]},
{
"match":true,
"value":0.5080823,
"description":"tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:",
"details":[{
"match":true,
"value":1.0,
"description":"freq, occurrences of term within document"},
{
"match":true,
"value":1.2,
"description":"k1, term saturation parameter"},
{
"match":true,
"value":0.75,
"description":"b, length normalization parameter"},
{
"match":true,
"value":2.0,
"description":"dl, length of field"},
{
"match":true,
"value":2.6938646,
"description":"avgdl, average length of field"}]}]}]},
{
"match":true,
"value":323.1938,
"description":"weight(nameWithoutManufacturer:family in 9) [SchemaSimilarity], result of:",
"details":[{
"match":true,
"value":323.1938,
"description":"score(freq=1.0), computed as boost * idf * tf from:",
"details":[{
"match":true,
"value":67.0,
"description":"boost"},
{
"match":true,
"value":8.159629,
"description":"idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:",
"details":[{
"match":true,
"value":4,
"description":"n, number of documents containing term"},
{
"match":true,
"value":15735,
"description":"N, total number of documents with field"}]},
{
"match":true,
"value":0.5911774,
"description":"tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:",
"details":[{
"match":true,
"value":1.0,
"description":"freq, occurrences of term within document"},
{
"match":true,
"value":1.2,
"description":"k1, term saturation parameter"},
{
"match":true,
"value":0.75,
"description":"b, length normalization parameter"},
{
"match":true,
"value":4.0,
"description":"dl, length of field"},
{
"match":true,
"value":9.194471,
"description":"avgdl, average length of field"}]}]}]},
{
"match":true,
"value":5.9970293,
"description":"weight(model:family in 9) [SchemaSimilarity], result of:",
"details":[{
"match":true,
"value":5.9970293,
"description":"score(freq=2.0), computed as boost * idf * tf from:",
"details":[{
"match":true,
"value":8.159629,
"description":"idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:",
"details":[{
"match":true,
"value":4,
"description":"n, number of documents containing term"},
{
"match":true,
"value":15735,
"description":"N, total number of documents with field"}]},
{
"match":true,
"value":0.7349634,
"description":"tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:",
"details":[{
"match":true,
"value":2.0,
"description":"freq, occurrences of term within document"},
{
"match":true,
"value":1.2,
"description":"k1, term saturation parameter"},
{
"match":true,
"value":0.75,
"description":"b, length normalization parameter"},
{
"match":true,
"value":10.0,
"description":"dl, length of field"},
{
"match":true,
"value":21.366318,
"description":"avgdl, average length of field"}]}]}]}]},
"749235":{
"match":true,
"value":365.41138,
"description":"max plus 0.9 times others of:",
"details":[{
"match":true,
"value":40.911392,
"description":"weight(productName:family in 9856) [SchemaSimilarity], result of:",
"details":[{
"match":true,
"value":40.911392,
"description":"score(freq=1.0), computed as boost * idf * tf from:",
"details":[{
"match":true,
"value":10.0,
"description":"boost"},
{
"match":true,
"value":8.052119,
"description":"idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:",
"details":[{
"match":true,
"value":4,
"description":"n, number of documents containing term"},
{
"match":true,
"value":14131,
"description":"N, total number of documents with field"}]},
{
"match":true,
"value":0.5080823,
"description":"tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:",
"details":[{
"match":true,
"value":1.0,
"description":"freq, occurrences of term within document"},
{
"match":true,
"value":1.2,
"description":"k1, term saturation parameter"},
{
"match":true,
"value":0.75,
"description":"b, length normalization parameter"},
{
"match":true,
"value":2.0,
"description":"dl, length of field"},
{
"match":true,
"value":2.6938646,
"description":"avgdl, average length of field"}]}]}]},
{
"match":true,
"value":323.1938,
"description":"weight(nameWithoutManufacturer:family in 9856) [SchemaSimilarity], result of:",
"details":[{
"match":true,
"value":323.1938,
"description":"score(freq=1.0), computed as boost * idf * tf from:",
"details":[{
"match":true,
"value":67.0,
"description":"boost"},
{
"match":true,
"value":8.159629,
"description":"idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:",
"details":[{
"match":true,
"value":4,
"description":"n, number of documents containing term"},
{
"match":true,
"value":15735,
"description":"N, total number of documents with field"}]},
{
"match":true,
"value":0.5911774,
"description":"tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:",
"details":[{
"match":true,
"value":1.0,
"description":"freq, occurrences of term within document"},
{
"match":true,
"value":1.2,
"description":"k1, term saturation parameter"},
{
"match":true,
"value":0.75,
"description":"b, length normalization parameter"},
{
"match":true,
"value":4.0,
"description":"dl, length of field"},
{
"match":true,
"value":9.194471,
"description":"avgdl, average length of field"}]}]}]},
{
"match":true,
"value":5.9970293,
"description":"weight(model:family in 9856) [SchemaSimilarity], result of:",
"details":[{
"match":true,
"value":5.9970293,
"description":"score(freq=2.0), computed as boost * idf * tf from:",
"details":[{
"match":true,
"value":8.159629,
"description":"idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:",
"details":[{
"match":true,
"value":4,
"description":"n, number of documents containing term"},
{
"match":true,
"value":15735,
"description":"N, total number of documents with field"}]},
{
"match":true,
"value":0.7349634,
"description":"tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:",
"details":[{
"match":true,
"value":2.0,
"description":"freq, occurrences of term within document"},
{
"match":true,
"value":1.2,
"description":"k1, term saturation parameter"},
{
"match":true,
"value":0.75,
"description":"b, length normalization parameter"},
{
"match":true,
"value":10.0,
"description":"dl, length of field"},
{
"match":true,
"value":21.366318,
"description":"avgdl, average length of field"}]}]}]}]},
"993485":{
"match":true,
"value":316.75687,
"description":"max plus 0.9 times others of:",
"details":[{
"match":true,
"value":24.36673,
"description":"weight(productName:family in 6407) [SchemaSimilarity], result of:",
"details":[{
"match":true,
"value":24.36673,
"description":"score(freq=1.0), computed as boost * idf * tf from:",
"details":[{
"match":true,
"value":10.0,
"description":"boost"},
{
"match":true,
"value":8.052119,
"description":"idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:",
"details":[{
"match":true,
"value":4,
"description":"n, number of documents containing term"},
{
"match":true,
"value":14131,
"description":"N, total number of documents with field"}]},
{
"match":true,
"value":0.3026126,
"description":"tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:",
"details":[{
"match":true,
"value":1.0,
"description":"freq, occurrences of term within document"},
{
"match":true,
"value":1.2,
"description":"k1, term saturation parameter"},
{
"match":true,
"value":0.75,
"description":"b, length normalization parameter"},
{
"match":true,
"value":6.0,
"description":"dl, length of field"},
{
"match":true,
"value":2.6938646,
"description":"avgdl, average length of field"}]}]}]},
{
"match":true,
"value":289.669,
"description":"weight(nameWithoutManufacturer:family in 6407) [SchemaSimilarity], result of:",
"details":[{
"match":true,
"value":289.669,
"description":"score(freq=1.0), computed as boost * idf * tf from:",
"details":[{
"match":true,
"value":67.0,
"description":"boost"},
{
"match":true,
"value":8.159629,
"description":"idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:",
"details":[{
"match":true,
"value":4,
"description":"n, number of documents containing term"},
{
"match":true,
"value":15735,
"description":"N, total number of documents with field"}]},
{
"match":true,
"value":0.5298548,
"description":"tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:",
"details":[{
"match":true,
"value":1.0,
"description":"freq, occurrences of term within document"},
{
"match":true,
"value":1.2,
"description":"k1, term saturation parameter"},
{
"match":true,
"value":0.75,
"description":"b, length normalization parameter"},
{
"match":true,
"value":6.0,
"description":"dl, length of field"},
{
"match":true,
"value":9.194471,
"description":"avgdl, average length of field"}]}]}]},
{
"match":true,
"value":5.7309,
"description":"weight(model:family in 6407) [SchemaSimilarity], result of:",
"details":[{
"match":true,
"value":5.7309,
"description":"score(freq=2.0), computed as boost * idf * tf from:",
"details":[{
"match":true,
"value":8.159629,
"description":"idf, computed as log(1 + (N - n + 0.5) / (n + 0.5)) from:",
"details":[{
"match":true,
"value":4,
"description":"n, number of documents containing term"},
{
"match":true,
"value":15735,
"description":"N, total number of documents with field"}]},
{
"match":true,
"value":0.7023481,
"description":"tf, computed as freq / (freq + k1 * (1 - b + b * dl / avgdl)) from:",
"details":[{
"match":true,
"value":2.0,
"description":"freq, occurrences of term within document"},
{
"match":true,
"value":1.2,
"description":"k1, term saturation parameter"},
{
"match":true,
"value":0.75,
"description":"b, length normalization parameter"},
{
"match":true,
"value":13.0,
"description":"dl, length of field"},
{
"match":true,
"value":21.366318,
"description":"avgdl, average length of field"}]}]}]}]}},
"facet-debug":{
"elapse":0,
"sub-facet":[{
"processor":"SimpleFacets",
"elapse":0,
"action":"field facet"}]},
"QParser":"ExtendedDismaxQParser",
"altquerystring":null,
"boost_queries":null,
"parsed_boost_queries":[],
"boostfuncs":null,
"timing":{
"time":3.0,
"prepare":{
"time":0.0,
"query":{
"time":0.0},
"facet":{
"time":0.0},
"facet_module":{
"time":0.0},
"mlt":{
"time":0.0},
"highlight":{
"time":0.0},
"stats":{
"time":0.0},
"expand":{
"time":0.0},
"terms":{
"time":0.0},
"spellcheck":{
"time":0.0},
"debug":{
"time":0.0}},
"process":{
"time":2.0,
"query":{
"time":0.0},
"facet":{
"time":0.0},
"facet_module":{
"time":0.0},
"mlt":{
"time":0.0},
"highlight":{
"time":0.0},
"stats":{
"time":0.0},
"expand":{
"time":0.0},
"terms":{
"time":0.0},
"spellcheck":{
"time":0.0},
"debug":{
"time":2.0}}}}}The website view for this collection looks like this
Expected Outcome
We would expect that the results of the query get filled into the website the same way they are in the working collection.
Thank you very much for your help :)
Help page typos! Grrrr
To be fixed in the AM
Upgrade Build tools
- Upgrade frontend build tools to same used as Quepid for single page app
- Document how to run in development mode, run unit tests, etc
- Fix Circle CI Build
- Upgrade Circle CI to 2.0
- Make sure passing tests
- Doug to review Splainer for functional testing
Dockerfile fails to build
I'm attempting to build a fresh image and getting the following error:
Selecting previously unselected package google-chrome-unstable.
(Reading database ... 29794 files and directories currently installed.)
Preparing to unpack google-chrome-unstable_current_amd64.deb ...
Unpacking google-chrome-unstable (81.0.4044.9-1) ...
Processing triggers for mime-support (3.60) ...
dpkg: dependency problems prevent configuration of google-chrome-unstable:
google-chrome-unstable depends on libdrm2 (>= 2.4.38); however:
Package libdrm2 is not installed.
google-chrome-unstable depends on libgbm1 (>= 8.1~0); however:
Package libgbm1 is not installed.
google-chrome-unstable depends on libxcb-dri3-0; however:
Package libxcb-dri3-0 is not installed.
dpkg: error processing package google-chrome-unstable (--install):
dependency problems - leaving unconfigured
Errors were encountered while processing:
google-chrome-unstable
Do we need chrome as part of the Docker image? We may be able to copy the setup from quepid.
Support Elasticsearch
I was dinking around with Elasticsearch support a while back.
Open issue, is Elasticsearch under http://splainer.io as a checkbox, or create http://splainer.es for a more Elasticsearch focused user experience?
Add Dockerfile
Could we get a Dockerfile for this repo?
highlighting is broken for Solr
But does work for ES!
Prompt for ID field when "id" not recognized in the response
We assume that the unique id is "id". This could be entirely wrong, though its a reasonable default. If "id" can't be found in the response, we should prompt the user to specify id field.
Current workaround, type "id:<alt_id_field_name>" in "Displayed Fields"
Figured out why TMDB text_people comes back as "john,sally,bob" instead of "john, sally, bob"
snip = escapeHtml(subFieldValue.slice(0, 200)); It takes our Array and smashes it into a string.
I wonder why we do this snip? It's a method of getHighlightSnippet(), which I think we are trying to get away from. Lets not do highlighting unless I specified I wanted it to be highlighted!
Is this related to the // TODO: In a future refactor just compute the snippets and store them out, don't use a function call in the template comment in docRow.js?
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