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jina | Cloud-native neural search framework for 𝙖𝙣𝙮 kind of data | Machine Learning library

 by   jina-ai Python Version: v3.3.6 License: Apache-2.0

 by   jina-ai Python Version: v3.3.6 License: Apache-2.0

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kandi X-RAY | jina Summary

jina is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Docker applications. jina has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. However jina has 22 bugs. You can download it from GitHub.
Jina is a neural search framework that empowers anyone to build SOTA and scalable neural search applications in minutes. ⏱️ Save time - The design pattern of neural search systems. Quickly build solutions for indexing, querying, understanding multi-/cross-modal data such as video, image, text, audio, source code, PDF. 🌩️ Local & cloud friendly - Distributed architecture, scalable & cloud-native from day one. Same developer experience on local, Docker Compose, Kubernetes. 🚀 Serve, scale & share - Serve a local project with HTTP, WebSockets or gRPC endpoints in just minutes. Scale your neural search applications to meet your availability and throughput requirements. Share and reuse building blocks from Hub. 🍱 Own your stack - Keep end-to-end stack ownership of your solution. Avoid integration pitfalls you get with fragmented, multi-vendor, generic legacy tools. Enjoy the integration with the neural search ecosystem including DocArray, Hub and Finetuner.
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support Support

  • jina has a medium active ecosystem.
  • It has 14316 star(s) with 1828 fork(s). There are 182 watchers for this library.
  • There were 9 major release(s) in the last 6 months.
  • There are 57 open issues and 1362 have been closed. On average issues are closed in 7 days. There are 7 open pull requests and 0 closed requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of jina is v3.3.6
jina Support
Best in #Machine Learning
Average in #Machine Learning
jina Support
Best in #Machine Learning
Average in #Machine Learning

quality kandi Quality

  • jina has 22 bugs (0 blocker, 1 critical, 9 major, 12 minor) and 429 code smells.
jina Quality
Best in #Machine Learning
Average in #Machine Learning
jina Quality
Best in #Machine Learning
Average in #Machine Learning

securitySecurity

  • jina has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • jina code analysis shows 0 unresolved vulnerabilities.
  • There are 63 security hotspots that need review.
jina Security
Best in #Machine Learning
Average in #Machine Learning
jina Security
Best in #Machine Learning
Average in #Machine Learning

license License

  • jina is licensed under the Apache-2.0 License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
jina License
Best in #Machine Learning
Average in #Machine Learning
jina License
Best in #Machine Learning
Average in #Machine Learning

buildReuse

  • jina releases are available to install and integrate.
  • Build file is available. You can build the component from source.
  • Installation instructions, examples and code snippets are available.
jina Reuse
Best in #Machine Learning
Average in #Machine Learning
jina Reuse
Best in #Machine Learning
Average in #Machine Learning
Top functions reviewed by kandi - BETA

kandi has reviewed jina and discovered the below as its top functions. This is intended to give you an instant insight into jina implemented functionality, and help decide if they suit your requirements.

  • Return an instance of FastAPI .
  • Load configuration from source .
  • Push the given command to the specified folder .
  • Generate a list of Kubernetes deployment yaml .
  • Create the main parser
  • Get results from requests .
  • Start the Docker container .
  • Runs a Docker container .
  • Wait until all deployments are ready .
  • Adds the command line options to the given parser .

jina Key Features

Cloud-native neural search framework for 𝙖𝙣𝙮 kind of data

Install

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pip install jina

Build a service from scratch

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from docarray import Document, DocumentArray
from jina import Executor, Flow, requests

Play with Containerized Executors

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.
├── embed_img
│     ├── exec.py  # copy-paste codes of ImageEmbeddingExecutor
│     └── requirements.txt  # add the requirement `torchvision`
└── match_img
      └── exec.py  # copy-paste codes of IndexExecutor
└── preproc_img
      └── exec.py  # copy-paste codes of IndexExecutor

Deploy the service via Docker Compose

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f = (
    Flow(port_expose=12345)
    .add(uses='jinahub+docker://1ylut0gf')
    .add(uses='jinahub+docker://258lzh3c')
)
f.to_docker_compose_yaml()  # By default, stored at `docker-compose.yml`

Deploy the service via Kubernetes

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gcloud container clusters create test --machine-type e2-highmem-2  --num-nodes 1 --zone europe-west3-a
gcloud container clusters get-credentials test --zone europe-west3-a --project jina-showcase

autoincrement number function-postgres

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select dense_rank()over(order by id) as newid,id,persion
from table_name

Show textbox when dropdownlist field option is selected

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let $textbox = $("#JinaSpolecnost");

$('select[name="[PrimaGroupList]"]').change(function() {
  var selectedValue = $(this).val();
  if (selectedValue == "Jiná společnost:")
    $textbox.show();
  else
    $textbox.hide();
})
<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.6.0/jquery.min.js"></script>
<div>
  <div class="row" id="Bod1">
    <div class="col-xs-12 col-md-6">
      <label for="DropDownList1">Vyberte z možnost&#237;</label> *
      <select class="custom-select form-control" data-val="true" data-val-required="Vyplňte toto pole." name="[PrimaGroupList]" tabindex="1">
        <option value="FTV Prima, spol. s r. o.">FTV Prima, spol. s r. o.</option>
        <option value="MEDIA CLUB, s.r.o.">MEDIA CLUB, s.r.o.</option>
        <option value="PRIMA GROUP MANAŽERSKÁ, a.s.">PRIMA GROUP MANAŽERSK&#193;, a.s.</option>
        <option value="PRIMA DOMA MEDIA, s.r.o.">PRIMA DOMA MEDIA, s.r.o.</option>
        <option value="CAR PR MEDIA, s.r.o.">CAR PR MEDIA, s.r.o.</option>
        <option value="Prima produkce, s.r.o.">Prima produkce, s.r.o.</option>
        <option value="PLAYzone s.r.o.">PLAYzone s.r.o.</option>
        <option value="PLAYPRESS s.r.o.">PLAYPRESS s.r.o.</option>
        <option value="RADIO UNITED BROADCASTING s.r.o.">RADIO UNITED BROADCASTING s.r.o.</option>
        <option value="Jiná společnost:">Jin&#225; společnost (uveďte)</option>
        <option selected="selected" value=""></option>
      </select>
    </div>
    <div class="col-xs-12 col-md-6" id="JinaSpolecnost" style="display:none">
      <label for="[JinaSpolecnostTextBox]" class=>N&#225;zev jin&#233; společnosti</label> *
      <input class="form-control" data-showSuggestionsOnClick="true" data-val="true" data-val-required="Vyplňte toto pole." name="[JinaSpolecnostTextBox]" placeholder="" tabindex="1" type="text" value="" /><input name="[JinaSpolecnostTextBox].IsHtml"
        type="hidden" value="True" /><input name="[JinaSpolecnostTextBox].defaultFormatHtml" type="hidden" value="True" /><span class="field-validation-valid" data-valmsg-for="[JinaSpolecnostTextBox]" data-valmsg-replace="true"></span>
    </div>
  </div>
</div>
-----------------------
let $textbox = $("#JinaSpolecnost");

$('select[name="[PrimaGroupList]"]').change(function() {
  var selectedValue = $(this).val();
  if (selectedValue == "Jiná společnost:")
    $textbox.show();
  else
    $textbox.hide();
})
<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.6.0/jquery.min.js"></script>
<div>
  <div class="row" id="Bod1">
    <div class="col-xs-12 col-md-6">
      <label for="DropDownList1">Vyberte z možnost&#237;</label> *
      <select class="custom-select form-control" data-val="true" data-val-required="Vyplňte toto pole." name="[PrimaGroupList]" tabindex="1">
        <option value="FTV Prima, spol. s r. o.">FTV Prima, spol. s r. o.</option>
        <option value="MEDIA CLUB, s.r.o.">MEDIA CLUB, s.r.o.</option>
        <option value="PRIMA GROUP MANAŽERSKÁ, a.s.">PRIMA GROUP MANAŽERSK&#193;, a.s.</option>
        <option value="PRIMA DOMA MEDIA, s.r.o.">PRIMA DOMA MEDIA, s.r.o.</option>
        <option value="CAR PR MEDIA, s.r.o.">CAR PR MEDIA, s.r.o.</option>
        <option value="Prima produkce, s.r.o.">Prima produkce, s.r.o.</option>
        <option value="PLAYzone s.r.o.">PLAYzone s.r.o.</option>
        <option value="PLAYPRESS s.r.o.">PLAYPRESS s.r.o.</option>
        <option value="RADIO UNITED BROADCASTING s.r.o.">RADIO UNITED BROADCASTING s.r.o.</option>
        <option value="Jiná společnost:">Jin&#225; společnost (uveďte)</option>
        <option selected="selected" value=""></option>
      </select>
    </div>
    <div class="col-xs-12 col-md-6" id="JinaSpolecnost" style="display:none">
      <label for="[JinaSpolecnostTextBox]" class=>N&#225;zev jin&#233; společnosti</label> *
      <input class="form-control" data-showSuggestionsOnClick="true" data-val="true" data-val-required="Vyplňte toto pole." name="[JinaSpolecnostTextBox]" placeholder="" tabindex="1" type="text" value="" /><input name="[JinaSpolecnostTextBox].IsHtml"
        type="hidden" value="True" /><input name="[JinaSpolecnostTextBox].defaultFormatHtml" type="hidden" value="True" /><span class="field-validation-valid" data-valmsg-for="[JinaSpolecnostTextBox]" data-valmsg-replace="true"></span>
    </div>
  </div>
</div>

Group a list of objects by multiple enum values in a list

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@Value
class Tuple<L, R> {
    L left;
    R right;
}
Stream<Member> stream = ...;
Map<Topic, List<Member>> result = stream
        .flatMap(member -> member.getTopics().stream().map(topic -> new Tuple<>(topic, member)))
        .collect(groupingBy(Tuple::getLeft, mapping(Tuple::getRight, toList())));
-----------------------
@Value
class Tuple<L, R> {
    L left;
    R right;
}
Stream<Member> stream = ...;
Map<Topic, List<Member>> result = stream
        .flatMap(member -> member.getTopics().stream().map(topic -> new Tuple<>(topic, member)))
        .collect(groupingBy(Tuple::getLeft, mapping(Tuple::getRight, toList())));

How to handle two Lists in thymeleaf with th:switch and th:each

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<tr th:each="kMchango,iter: ${listKandaAndParokia}">
...
  <td th:text= "${itajikaFromated[iter.index]}"></td>
...
</tr>
<span th:text="${#numbers.formatDecimal(kMchango.kinachoitajika, 0, 'COMMA', 2, 'POINT')}">
-----------------------
<tr th:each="kMchango,iter: ${listKandaAndParokia}">
...
  <td th:text= "${itajikaFromated[iter.index]}"></td>
...
</tr>
<span th:text="${#numbers.formatDecimal(kMchango.kinachoitajika, 0, 'COMMA', 2, 'POINT')}">

How to generated the csv file from json data with Java?

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<dependency>
    <groupId>commons-io</groupId>
    <artifactId>commons-io</artifactId>
    <version>2.6</version>
</dependency>
import java.io.File;
import org.apache.commons.io.FileUtils;
import org.json.*;
public class ConvertJsonToCSVTest {
   public static void main(String[] args) throws JSONException {
      String jsonArrayString = "{\"fileName\": [{\"first name\": \"Adam\",\"last name\": \"Smith\",\"location\": \"London\"}]}";
      JSONObject output;
      try {
         output = new JSONObject(jsonArrayString);
         JSONArray docs = output.getJSONArray("fileName");
         File file = new File("EmpDetails.csv");
         String csv = CDL.toString(docs);
         FileUtils.writeStringToFile(file, csv);
         System.out.println("Data has been Sucessfully Writeen to "+ file);
         System.out.println(csv);
      }
      catch(Exception e) {
         e.printStackTrace();
      }
   }
}
Data has been Sucessfully Writeen to EmpDetails.csv
last name,first name,location
Smith,Adam,London
-----------------------
<dependency>
    <groupId>commons-io</groupId>
    <artifactId>commons-io</artifactId>
    <version>2.6</version>
</dependency>
import java.io.File;
import org.apache.commons.io.FileUtils;
import org.json.*;
public class ConvertJsonToCSVTest {
   public static void main(String[] args) throws JSONException {
      String jsonArrayString = "{\"fileName\": [{\"first name\": \"Adam\",\"last name\": \"Smith\",\"location\": \"London\"}]}";
      JSONObject output;
      try {
         output = new JSONObject(jsonArrayString);
         JSONArray docs = output.getJSONArray("fileName");
         File file = new File("EmpDetails.csv");
         String csv = CDL.toString(docs);
         FileUtils.writeStringToFile(file, csv);
         System.out.println("Data has been Sucessfully Writeen to "+ file);
         System.out.println(csv);
      }
      catch(Exception e) {
         e.printStackTrace();
      }
   }
}
Data has been Sucessfully Writeen to EmpDetails.csv
last name,first name,location
Smith,Adam,London
-----------------------
<dependency>
    <groupId>commons-io</groupId>
    <artifactId>commons-io</artifactId>
    <version>2.6</version>
</dependency>
import java.io.File;
import org.apache.commons.io.FileUtils;
import org.json.*;
public class ConvertJsonToCSVTest {
   public static void main(String[] args) throws JSONException {
      String jsonArrayString = "{\"fileName\": [{\"first name\": \"Adam\",\"last name\": \"Smith\",\"location\": \"London\"}]}";
      JSONObject output;
      try {
         output = new JSONObject(jsonArrayString);
         JSONArray docs = output.getJSONArray("fileName");
         File file = new File("EmpDetails.csv");
         String csv = CDL.toString(docs);
         FileUtils.writeStringToFile(file, csv);
         System.out.println("Data has been Sucessfully Writeen to "+ file);
         System.out.println(csv);
      }
      catch(Exception e) {
         e.printStackTrace();
      }
   }
}
Data has been Sucessfully Writeen to EmpDetails.csv
last name,first name,location
Smith,Adam,London
-----------------------
public class CsvVo {

    private String realtime_start;
    private String realtime_end;
    private String units;
    private String name;
    private String age;
    private String house;
    private String notes;

    public void setRealtime_start(String realtime_start) {
        this.realtime_start = realtime_start;
    }

//Other getters and Setters
public class ConvertJsonToCSVTest {
    public static void main(String[] args) throws JSONException {
        String jsonArrayString = "{\n" +
                "\t\"realtime_start\": \"2020-09-25\",\n" +
                "\t\"realtime_end\": \"2020-09-25\",\n" +
                "\t\"units\": \"Percent\",\n" +
                "\t\"seriess\": [{\n" +
                "\t\t\t\"name\": \"James\",\n" +
                "\t\t\t\"age\": 29,\n" +
                "\t\t\t\"house\": \"CA\"\n" +
                "\t\t},\n" +
                "\t\t{\n" +
                "\t\t\t\"name\": \"Jina\",\n" +
                "\t\t\t\"age\": 39,\n" +
                "\t\t\t\"house\": \"MA\",\n" +
                "\t\t\t\"notes\": \"Million tonne punch\"\n" +
                "\t\t}\n" +
                "\t]\n" +
                "}";
        JSONObject inJson;
            List<CsvVo> list = new ArrayList<>();
            inJson = new JSONObject(jsonArrayString);
            JSONArray inJsonSeries = inJson.getJSONArray("seriess");
            for (int i = 0, size = inJsonSeries.length(); i < size; i++){
                CsvVo line = new CsvVo();
                line.setRealtime_start(inJson.get("realtime_start").toString());
                line.setRealtime_end(inJson.get("realtime_end").toString());
                line.setUnits(inJson.get("units").toString());
                JSONObject o = (JSONObject)inJsonSeries.get(i);
                line.setName(o.get("name").toString());
                line.setAge(o.get("age").toString());
                line.setHouse(o.get("house").toString());
                try {
                    line.setNotes(o.get("notes").toString());
                }catch (JSONException e){
                    line.setNotes("");
                }
                list.add(line);
            }
            String[] cols = {"realtime_start", "realtime_end", "units", "name", "age", "house", "notes"};
            CsvUtils.csvWriterUtil(CsvVo.class, list, "in/EmpDetails.csv", cols);

        }
    }
    public static <T> void csvWriterUtil(Class<T> beanClass, List<T> data, String outputFile, String[] columMapping){
        try{
            Writer writer = new BufferedWriter(new FileWriter(outputFile));
            ColumnPositionMappingStrategy<T> strategy = new ColumnPositionMappingStrategy<>();
            strategy.setType(beanClass);
            strategy.setColumnMapping(columMapping);
            StatefulBeanToCsv<T> statefulBeanToCsv =new StatefulBeanToCsvBuilder<T>(writer)
                    .withMappingStrategy(strategy)
                    .build();
            writer.write(String.join(",",columMapping)+"\n");
            statefulBeanToCsv.write(data);
            writer.close();
        } catch (IOException e) {
            e.printStackTrace();
        } catch (CsvRequiredFieldEmptyException e) {
            e.printStackTrace();
        } catch (CsvDataTypeMismatchException e) {
            e.printStackTrace();
        }
    }
-----------------------
public class CsvVo {

    private String realtime_start;
    private String realtime_end;
    private String units;
    private String name;
    private String age;
    private String house;
    private String notes;

    public void setRealtime_start(String realtime_start) {
        this.realtime_start = realtime_start;
    }

//Other getters and Setters
public class ConvertJsonToCSVTest {
    public static void main(String[] args) throws JSONException {
        String jsonArrayString = "{\n" +
                "\t\"realtime_start\": \"2020-09-25\",\n" +
                "\t\"realtime_end\": \"2020-09-25\",\n" +
                "\t\"units\": \"Percent\",\n" +
                "\t\"seriess\": [{\n" +
                "\t\t\t\"name\": \"James\",\n" +
                "\t\t\t\"age\": 29,\n" +
                "\t\t\t\"house\": \"CA\"\n" +
                "\t\t},\n" +
                "\t\t{\n" +
                "\t\t\t\"name\": \"Jina\",\n" +
                "\t\t\t\"age\": 39,\n" +
                "\t\t\t\"house\": \"MA\",\n" +
                "\t\t\t\"notes\": \"Million tonne punch\"\n" +
                "\t\t}\n" +
                "\t]\n" +
                "}";
        JSONObject inJson;
            List<CsvVo> list = new ArrayList<>();
            inJson = new JSONObject(jsonArrayString);
            JSONArray inJsonSeries = inJson.getJSONArray("seriess");
            for (int i = 0, size = inJsonSeries.length(); i < size; i++){
                CsvVo line = new CsvVo();
                line.setRealtime_start(inJson.get("realtime_start").toString());
                line.setRealtime_end(inJson.get("realtime_end").toString());
                line.setUnits(inJson.get("units").toString());
                JSONObject o = (JSONObject)inJsonSeries.get(i);
                line.setName(o.get("name").toString());
                line.setAge(o.get("age").toString());
                line.setHouse(o.get("house").toString());
                try {
                    line.setNotes(o.get("notes").toString());
                }catch (JSONException e){
                    line.setNotes("");
                }
                list.add(line);
            }
            String[] cols = {"realtime_start", "realtime_end", "units", "name", "age", "house", "notes"};
            CsvUtils.csvWriterUtil(CsvVo.class, list, "in/EmpDetails.csv", cols);

        }
    }
    public static <T> void csvWriterUtil(Class<T> beanClass, List<T> data, String outputFile, String[] columMapping){
        try{
            Writer writer = new BufferedWriter(new FileWriter(outputFile));
            ColumnPositionMappingStrategy<T> strategy = new ColumnPositionMappingStrategy<>();
            strategy.setType(beanClass);
            strategy.setColumnMapping(columMapping);
            StatefulBeanToCsv<T> statefulBeanToCsv =new StatefulBeanToCsvBuilder<T>(writer)
                    .withMappingStrategy(strategy)
                    .build();
            writer.write(String.join(",",columMapping)+"\n");
            statefulBeanToCsv.write(data);
            writer.close();
        } catch (IOException e) {
            e.printStackTrace();
        } catch (CsvRequiredFieldEmptyException e) {
            e.printStackTrace();
        } catch (CsvDataTypeMismatchException e) {
            e.printStackTrace();
        }
    }
-----------------------
public class CsvVo {

    private String realtime_start;
    private String realtime_end;
    private String units;
    private String name;
    private String age;
    private String house;
    private String notes;

    public void setRealtime_start(String realtime_start) {
        this.realtime_start = realtime_start;
    }

//Other getters and Setters
public class ConvertJsonToCSVTest {
    public static void main(String[] args) throws JSONException {
        String jsonArrayString = "{\n" +
                "\t\"realtime_start\": \"2020-09-25\",\n" +
                "\t\"realtime_end\": \"2020-09-25\",\n" +
                "\t\"units\": \"Percent\",\n" +
                "\t\"seriess\": [{\n" +
                "\t\t\t\"name\": \"James\",\n" +
                "\t\t\t\"age\": 29,\n" +
                "\t\t\t\"house\": \"CA\"\n" +
                "\t\t},\n" +
                "\t\t{\n" +
                "\t\t\t\"name\": \"Jina\",\n" +
                "\t\t\t\"age\": 39,\n" +
                "\t\t\t\"house\": \"MA\",\n" +
                "\t\t\t\"notes\": \"Million tonne punch\"\n" +
                "\t\t}\n" +
                "\t]\n" +
                "}";
        JSONObject inJson;
            List<CsvVo> list = new ArrayList<>();
            inJson = new JSONObject(jsonArrayString);
            JSONArray inJsonSeries = inJson.getJSONArray("seriess");
            for (int i = 0, size = inJsonSeries.length(); i < size; i++){
                CsvVo line = new CsvVo();
                line.setRealtime_start(inJson.get("realtime_start").toString());
                line.setRealtime_end(inJson.get("realtime_end").toString());
                line.setUnits(inJson.get("units").toString());
                JSONObject o = (JSONObject)inJsonSeries.get(i);
                line.setName(o.get("name").toString());
                line.setAge(o.get("age").toString());
                line.setHouse(o.get("house").toString());
                try {
                    line.setNotes(o.get("notes").toString());
                }catch (JSONException e){
                    line.setNotes("");
                }
                list.add(line);
            }
            String[] cols = {"realtime_start", "realtime_end", "units", "name", "age", "house", "notes"};
            CsvUtils.csvWriterUtil(CsvVo.class, list, "in/EmpDetails.csv", cols);

        }
    }
    public static <T> void csvWriterUtil(Class<T> beanClass, List<T> data, String outputFile, String[] columMapping){
        try{
            Writer writer = new BufferedWriter(new FileWriter(outputFile));
            ColumnPositionMappingStrategy<T> strategy = new ColumnPositionMappingStrategy<>();
            strategy.setType(beanClass);
            strategy.setColumnMapping(columMapping);
            StatefulBeanToCsv<T> statefulBeanToCsv =new StatefulBeanToCsvBuilder<T>(writer)
                    .withMappingStrategy(strategy)
                    .build();
            writer.write(String.join(",",columMapping)+"\n");
            statefulBeanToCsv.write(data);
            writer.close();
        } catch (IOException e) {
            e.printStackTrace();
        } catch (CsvRequiredFieldEmptyException e) {
            e.printStackTrace();
        } catch (CsvDataTypeMismatchException e) {
            e.printStackTrace();
        }
    }

overwrite desktop hover style for mobile

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@media not all and (pointer: coarse) {
.credit:hover .credit-text,
  .credit-ba:hover .credit-text {
     display: block;
  }
 }
const creditIcon = document.querySelector('.credit-icon');
const creditText = document.querySelector('.credit-text');

let creditOpen = false;
   creditIcon.addEventListener('click', () => {
      creditText.style.display = "block";
      creditOpen = processMenu.classList.contains('hideElement')
   })
@media not all and (pointer: coarse) {
.credit:hover .credit-text,
  .credit-ba:hover .credit-text {
     display: block;
  }
 }
  
  .hideElement {
         display: none;
      }
<div class="credit black-text">
               <button class="credit-icon"> (...)
               </button>
               <div class="credit-text hideElement">
                  <p>
                     Thank you
                     to my team of helpers
                     <br><br>
                     and the following
                     <br><br>
                     Collaborators<br>
                     Handmade Staples Details produced by Mary Chan
                     <br>Knitwear produced by Elaine Lip
                     <br>Shoes Handcrafted by Doyeon Ji
                     <br>Soundtrack composed by Zacharias Wolfe
                     <br><br>
                     Look Book
                     <br>Photographed by Dean Hoy
                     <br>Make Up by Ana Takahashi
                     <br><br>
                     Show
                     <br>Hair by L’Oréal Professionnel
                     <br>Make Up by MAC Cosmetics
                     Supported by ThreeUK
                     <br><br>
                     Models
                     <br>Jina Yoo
                     <br>Aaron Wong
                     <br>Reign Charbit
                     <br>Karen Reichelt
                     <br>Harrison Chan
                     <br>Jessica Chen
                     <br>Kristianna Peel
                     <br>Trinity Mcintosh
                     <br><br>
                     Special thanks to Lane Crawford
                     <br>
                     and the MAFCSM team</p>
               </div>
            </div>
-----------------------
@media not all and (pointer: coarse) {
.credit:hover .credit-text,
  .credit-ba:hover .credit-text {
     display: block;
  }
 }
const creditIcon = document.querySelector('.credit-icon');
const creditText = document.querySelector('.credit-text');

let creditOpen = false;
   creditIcon.addEventListener('click', () => {
      creditText.style.display = "block";
      creditOpen = processMenu.classList.contains('hideElement')
   })
@media not all and (pointer: coarse) {
.credit:hover .credit-text,
  .credit-ba:hover .credit-text {
     display: block;
  }
 }
  
  .hideElement {
         display: none;
      }
<div class="credit black-text">
               <button class="credit-icon"> (...)
               </button>
               <div class="credit-text hideElement">
                  <p>
                     Thank you
                     to my team of helpers
                     <br><br>
                     and the following
                     <br><br>
                     Collaborators<br>
                     Handmade Staples Details produced by Mary Chan
                     <br>Knitwear produced by Elaine Lip
                     <br>Shoes Handcrafted by Doyeon Ji
                     <br>Soundtrack composed by Zacharias Wolfe
                     <br><br>
                     Look Book
                     <br>Photographed by Dean Hoy
                     <br>Make Up by Ana Takahashi
                     <br><br>
                     Show
                     <br>Hair by L’Oréal Professionnel
                     <br>Make Up by MAC Cosmetics
                     Supported by ThreeUK
                     <br><br>
                     Models
                     <br>Jina Yoo
                     <br>Aaron Wong
                     <br>Reign Charbit
                     <br>Karen Reichelt
                     <br>Harrison Chan
                     <br>Jessica Chen
                     <br>Kristianna Peel
                     <br>Trinity Mcintosh
                     <br><br>
                     Special thanks to Lane Crawford
                     <br>
                     and the MAFCSM team</p>
               </div>
            </div>
-----------------------
@media not all and (pointer: coarse) {
.credit:hover .credit-text,
  .credit-ba:hover .credit-text {
     display: block;
  }
 }
const creditIcon = document.querySelector('.credit-icon');
const creditText = document.querySelector('.credit-text');

let creditOpen = false;
   creditIcon.addEventListener('click', () => {
      creditText.style.display = "block";
      creditOpen = processMenu.classList.contains('hideElement')
   })
@media not all and (pointer: coarse) {
.credit:hover .credit-text,
  .credit-ba:hover .credit-text {
     display: block;
  }
 }
  
  .hideElement {
         display: none;
      }
<div class="credit black-text">
               <button class="credit-icon"> (...)
               </button>
               <div class="credit-text hideElement">
                  <p>
                     Thank you
                     to my team of helpers
                     <br><br>
                     and the following
                     <br><br>
                     Collaborators<br>
                     Handmade Staples Details produced by Mary Chan
                     <br>Knitwear produced by Elaine Lip
                     <br>Shoes Handcrafted by Doyeon Ji
                     <br>Soundtrack composed by Zacharias Wolfe
                     <br><br>
                     Look Book
                     <br>Photographed by Dean Hoy
                     <br>Make Up by Ana Takahashi
                     <br><br>
                     Show
                     <br>Hair by L’Oréal Professionnel
                     <br>Make Up by MAC Cosmetics
                     Supported by ThreeUK
                     <br><br>
                     Models
                     <br>Jina Yoo
                     <br>Aaron Wong
                     <br>Reign Charbit
                     <br>Karen Reichelt
                     <br>Harrison Chan
                     <br>Jessica Chen
                     <br>Kristianna Peel
                     <br>Trinity Mcintosh
                     <br><br>
                     Special thanks to Lane Crawford
                     <br>
                     and the MAFCSM team</p>
               </div>
            </div>
-----------------------
@media not all and (pointer: coarse) {
.credit:hover .credit-text,
  .credit-ba:hover .credit-text {
     display: block;
  }
 }
const creditIcon = document.querySelector('.credit-icon');
const creditText = document.querySelector('.credit-text');

let creditOpen = false;
   creditIcon.addEventListener('click', () => {
      creditText.style.display = "block";
      creditOpen = processMenu.classList.contains('hideElement')
   })
@media not all and (pointer: coarse) {
.credit:hover .credit-text,
  .credit-ba:hover .credit-text {
     display: block;
  }
 }
  
  .hideElement {
         display: none;
      }
<div class="credit black-text">
               <button class="credit-icon"> (...)
               </button>
               <div class="credit-text hideElement">
                  <p>
                     Thank you
                     to my team of helpers
                     <br><br>
                     and the following
                     <br><br>
                     Collaborators<br>
                     Handmade Staples Details produced by Mary Chan
                     <br>Knitwear produced by Elaine Lip
                     <br>Shoes Handcrafted by Doyeon Ji
                     <br>Soundtrack composed by Zacharias Wolfe
                     <br><br>
                     Look Book
                     <br>Photographed by Dean Hoy
                     <br>Make Up by Ana Takahashi
                     <br><br>
                     Show
                     <br>Hair by L’Oréal Professionnel
                     <br>Make Up by MAC Cosmetics
                     Supported by ThreeUK
                     <br><br>
                     Models
                     <br>Jina Yoo
                     <br>Aaron Wong
                     <br>Reign Charbit
                     <br>Karen Reichelt
                     <br>Harrison Chan
                     <br>Jessica Chen
                     <br>Kristianna Peel
                     <br>Trinity Mcintosh
                     <br><br>
                     Special thanks to Lane Crawford
                     <br>
                     and the MAFCSM team</p>
               </div>
            </div>

MongoDB: Querying multiple fields and indexing

copy iconCopydownload iconDownload
"queryPlanner" : {
        "plannerVersion" : 1,
        "namespace" : "anonymous-chat.users",
        "indexFilterSet" : false,
        "parsedQuery" : {
            "name" : {
                "$eq" : "ana"
            }
        },
        "winningPlan" : {
            "stage" : "COLLSCAN",
            "filter" : {
                "name" : {
                    "$eq" : "ana"
                }
            },
            "direction" : "forward"
        },
        "rejectedPlans" : []
    },
db.getCollection('users').find({"_id":ObjectId("5ee9b6c125b9a9a426d9965f")}).explain("executionStats")
"queryPlanner" : {
        "plannerVersion" : 1,
        "namespace" : "anonymous-chat.users",
        "indexFilterSet" : false,
        "parsedQuery" : {
            "_id" : {
                "$eq" : ObjectId("5ee9b6c125b9a9a426d9965f")
            }
        },
        "winningPlan" : {
            "stage" : "IDHACK"
        },
        "rejectedPlans" : []
    },
db.getCollection('users').find({"_id":ObjectId("5ee9b6c125b9a9a426d9965f"), "name":"ana"}).explain("executionStats")
 "queryPlanner" : {
        "plannerVersion" : 1,
        "namespace" : "anonymous-chat.users",
        "indexFilterSet" : false,
        "parsedQuery" : {
            "$and" : [ 
                {
                    "_id" : {
                        "$eq" : ObjectId("5ee9b6c125b9a9a426d9965f")
                    }
                }, 
                {
                    "name" : {
                        "$eq" : "ana"
                    }
                }
            ]
        },
        "winningPlan" : {
            "stage" : "FETCH",
            "filter" : {
                "name" : {
                    "$eq" : "ana"
                }
            },
            "inputStage" : {
                "stage" : "IXSCAN",
                "keyPattern" : {
                    "_id" : 1
                },
                "indexName" : "_id_",
                "isMultiKey" : false,
                "multiKeyPaths" : {
                    "_id" : []
                },
                "isUnique" : true,
                "isSparse" : false,
                "isPartial" : false,
                "indexVersion" : 2,
                "direction" : "forward",
                "indexBounds" : {
                    "_id" : [ 
                        "[ObjectId('5ee9b6c125b9a9a426d9965f'), ObjectId('5ee9b6c125b9a9a426d9965f')]"
                    ]
                }
            }
        },
        "rejectedPlans" : []
    },
"queryPlanner" : {
        "plannerVersion" : 1,
        "namespace" : "anonymous-chat.users",
        "indexFilterSet" : false,
        "parsedQuery" : {
            "$and" : [ 
                {
                    "appId" : {
                        "$eq" : 1.0
                    }
                }, 
                {
                    "name" : {
                        "$eq" : "ana"
                    }
                }
            ]
        },
        "winningPlan" : {
            "stage" : "COLLSCAN",
            "filter" : {
                "$and" : [ 
                    {
                        "appId" : {
                            "$eq" : 1.0
                        }
                    }, 
                    {
                        "name" : {
                            "$eq" : "ana"
                        }
                    }
                ]
            },
            "direction" : "forward"
        },
        "rejectedPlans" : []
    },
-----------------------
"queryPlanner" : {
        "plannerVersion" : 1,
        "namespace" : "anonymous-chat.users",
        "indexFilterSet" : false,
        "parsedQuery" : {
            "name" : {
                "$eq" : "ana"
            }
        },
        "winningPlan" : {
            "stage" : "COLLSCAN",
            "filter" : {
                "name" : {
                    "$eq" : "ana"
                }
            },
            "direction" : "forward"
        },
        "rejectedPlans" : []
    },
db.getCollection('users').find({"_id":ObjectId("5ee9b6c125b9a9a426d9965f")}).explain("executionStats")
"queryPlanner" : {
        "plannerVersion" : 1,
        "namespace" : "anonymous-chat.users",
        "indexFilterSet" : false,
        "parsedQuery" : {
            "_id" : {
                "$eq" : ObjectId("5ee9b6c125b9a9a426d9965f")
            }
        },
        "winningPlan" : {
            "stage" : "IDHACK"
        },
        "rejectedPlans" : []
    },
db.getCollection('users').find({"_id":ObjectId("5ee9b6c125b9a9a426d9965f"), "name":"ana"}).explain("executionStats")
 "queryPlanner" : {
        "plannerVersion" : 1,
        "namespace" : "anonymous-chat.users",
        "indexFilterSet" : false,
        "parsedQuery" : {
            "$and" : [ 
                {
                    "_id" : {
                        "$eq" : ObjectId("5ee9b6c125b9a9a426d9965f")
                    }
                }, 
                {
                    "name" : {
                        "$eq" : "ana"
                    }
                }
            ]
        },
        "winningPlan" : {
            "stage" : "FETCH",
            "filter" : {
                "name" : {
                    "$eq" : "ana"
                }
            },
            "inputStage" : {
                "stage" : "IXSCAN",
                "keyPattern" : {
                    "_id" : 1
                },
                "indexName" : "_id_",
                "isMultiKey" : false,
                "multiKeyPaths" : {
                    "_id" : []
                },
                "isUnique" : true,
                "isSparse" : false,
                "isPartial" : false,
                "indexVersion" : 2,
                "direction" : "forward",
                "indexBounds" : {
                    "_id" : [ 
                        "[ObjectId('5ee9b6c125b9a9a426d9965f'), ObjectId('5ee9b6c125b9a9a426d9965f')]"
                    ]
                }
            }
        },
        "rejectedPlans" : []
    },
"queryPlanner" : {
        "plannerVersion" : 1,
        "namespace" : "anonymous-chat.users",
        "indexFilterSet" : false,
        "parsedQuery" : {
            "$and" : [ 
                {
                    "appId" : {
                        "$eq" : 1.0
                    }
                }, 
                {
                    "name" : {
                        "$eq" : "ana"
                    }
                }
            ]
        },
        "winningPlan" : {
            "stage" : "COLLSCAN",
            "filter" : {
                "$and" : [ 
                    {
                        "appId" : {
                            "$eq" : 1.0
                        }
                    }, 
                    {
                        "name" : {
                            "$eq" : "ana"
                        }
                    }
                ]
            },
            "direction" : "forward"
        },
        "rejectedPlans" : []
    },
-----------------------
"queryPlanner" : {
        "plannerVersion" : 1,
        "namespace" : "anonymous-chat.users",
        "indexFilterSet" : false,
        "parsedQuery" : {
            "name" : {
                "$eq" : "ana"
            }
        },
        "winningPlan" : {
            "stage" : "COLLSCAN",
            "filter" : {
                "name" : {
                    "$eq" : "ana"
                }
            },
            "direction" : "forward"
        },
        "rejectedPlans" : []
    },
db.getCollection('users').find({"_id":ObjectId("5ee9b6c125b9a9a426d9965f")}).explain("executionStats")
"queryPlanner" : {
        "plannerVersion" : 1,
        "namespace" : "anonymous-chat.users",
        "indexFilterSet" : false,
        "parsedQuery" : {
            "_id" : {
                "$eq" : ObjectId("5ee9b6c125b9a9a426d9965f")
            }
        },
        "winningPlan" : {
            "stage" : "IDHACK"
        },
        "rejectedPlans" : []
    },
db.getCollection('users').find({"_id":ObjectId("5ee9b6c125b9a9a426d9965f"), "name":"ana"}).explain("executionStats")
 "queryPlanner" : {
        "plannerVersion" : 1,
        "namespace" : "anonymous-chat.users",
        "indexFilterSet" : false,
        "parsedQuery" : {
            "$and" : [ 
                {
                    "_id" : {
                        "$eq" : ObjectId("5ee9b6c125b9a9a426d9965f")
                    }
                }, 
                {
                    "name" : {
                        "$eq" : "ana"
                    }
                }
            ]
        },
        "winningPlan" : {
            "stage" : "FETCH",
            "filter" : {
                "name" : {
                    "$eq" : "ana"
                }
            },
            "inputStage" : {
                "stage" : "IXSCAN",
                "keyPattern" : {
                    "_id" : 1
                },
                "indexName" : "_id_",
                "isMultiKey" : false,
                "multiKeyPaths" : {
                    "_id" : []
                },
                "isUnique" : true,
                "isSparse" : false,
                "isPartial" : false,
                "indexVersion" : 2,
                "direction" : "forward",
                "indexBounds" : {
                    "_id" : [ 
                        "[ObjectId('5ee9b6c125b9a9a426d9965f'), ObjectId('5ee9b6c125b9a9a426d9965f')]"
                    ]
                }
            }
        },
        "rejectedPlans" : []
    },
"queryPlanner" : {
        "plannerVersion" : 1,
        "namespace" : "anonymous-chat.users",
        "indexFilterSet" : false,
        "parsedQuery" : {
            "$and" : [ 
                {
                    "appId" : {
                        "$eq" : 1.0
                    }
                }, 
                {
                    "name" : {
                        "$eq" : "ana"
                    }
                }
            ]
        },
        "winningPlan" : {
            "stage" : "COLLSCAN",
            "filter" : {
                "$and" : [ 
                    {
                        "appId" : {
                            "$eq" : 1.0
                        }
                    }, 
                    {
                        "name" : {
                            "$eq" : "ana"
                        }
                    }
                ]
            },
            "direction" : "forward"
        },
        "rejectedPlans" : []
    },
-----------------------
"queryPlanner" : {
        "plannerVersion" : 1,
        "namespace" : "anonymous-chat.users",
        "indexFilterSet" : false,
        "parsedQuery" : {
            "name" : {
                "$eq" : "ana"
            }
        },
        "winningPlan" : {
            "stage" : "COLLSCAN",
            "filter" : {
                "name" : {
                    "$eq" : "ana"
                }
            },
            "direction" : "forward"
        },
        "rejectedPlans" : []
    },
db.getCollection('users').find({"_id":ObjectId("5ee9b6c125b9a9a426d9965f")}).explain("executionStats")
"queryPlanner" : {
        "plannerVersion" : 1,
        "namespace" : "anonymous-chat.users",
        "indexFilterSet" : false,
        "parsedQuery" : {
            "_id" : {
                "$eq" : ObjectId("5ee9b6c125b9a9a426d9965f")
            }
        },
        "winningPlan" : {
            "stage" : "IDHACK"
        },
        "rejectedPlans" : []
    },
db.getCollection('users').find({"_id":ObjectId("5ee9b6c125b9a9a426d9965f"), "name":"ana"}).explain("executionStats")
 "queryPlanner" : {
        "plannerVersion" : 1,
        "namespace" : "anonymous-chat.users",
        "indexFilterSet" : false,
        "parsedQuery" : {
            "$and" : [ 
                {
                    "_id" : {
                        "$eq" : ObjectId("5ee9b6c125b9a9a426d9965f")
                    }
                }, 
                {
                    "name" : {
                        "$eq" : "ana"
                    }
                }
            ]
        },
        "winningPlan" : {
            "stage" : "FETCH",
            "filter" : {
                "name" : {
                    "$eq" : "ana"
                }
            },
            "inputStage" : {
                "stage" : "IXSCAN",
                "keyPattern" : {
                    "_id" : 1
                },
                "indexName" : "_id_",
                "isMultiKey" : false,
                "multiKeyPaths" : {
                    "_id" : []
                },
                "isUnique" : true,
                "isSparse" : false,
                "isPartial" : false,
                "indexVersion" : 2,
                "direction" : "forward",
                "indexBounds" : {
                    "_id" : [ 
                        "[ObjectId('5ee9b6c125b9a9a426d9965f'), ObjectId('5ee9b6c125b9a9a426d9965f')]"
                    ]
                }
            }
        },
        "rejectedPlans" : []
    },
"queryPlanner" : {
        "plannerVersion" : 1,
        "namespace" : "anonymous-chat.users",
        "indexFilterSet" : false,
        "parsedQuery" : {
            "$and" : [ 
                {
                    "appId" : {
                        "$eq" : 1.0
                    }
                }, 
                {
                    "name" : {
                        "$eq" : "ana"
                    }
                }
            ]
        },
        "winningPlan" : {
            "stage" : "COLLSCAN",
            "filter" : {
                "$and" : [ 
                    {
                        "appId" : {
                            "$eq" : 1.0
                        }
                    }, 
                    {
                        "name" : {
                            "$eq" : "ana"
                        }
                    }
                ]
            },
            "direction" : "forward"
        },
        "rejectedPlans" : []
    },
-----------------------
"queryPlanner" : {
        "plannerVersion" : 1,
        "namespace" : "anonymous-chat.users",
        "indexFilterSet" : false,
        "parsedQuery" : {
            "name" : {
                "$eq" : "ana"
            }
        },
        "winningPlan" : {
            "stage" : "COLLSCAN",
            "filter" : {
                "name" : {
                    "$eq" : "ana"
                }
            },
            "direction" : "forward"
        },
        "rejectedPlans" : []
    },
db.getCollection('users').find({"_id":ObjectId("5ee9b6c125b9a9a426d9965f")}).explain("executionStats")
"queryPlanner" : {
        "plannerVersion" : 1,
        "namespace" : "anonymous-chat.users",
        "indexFilterSet" : false,
        "parsedQuery" : {
            "_id" : {
                "$eq" : ObjectId("5ee9b6c125b9a9a426d9965f")
            }
        },
        "winningPlan" : {
            "stage" : "IDHACK"
        },
        "rejectedPlans" : []
    },
db.getCollection('users').find({"_id":ObjectId("5ee9b6c125b9a9a426d9965f"), "name":"ana"}).explain("executionStats")
 "queryPlanner" : {
        "plannerVersion" : 1,
        "namespace" : "anonymous-chat.users",
        "indexFilterSet" : false,
        "parsedQuery" : {
            "$and" : [ 
                {
                    "_id" : {
                        "$eq" : ObjectId("5ee9b6c125b9a9a426d9965f")
                    }
                }, 
                {
                    "name" : {
                        "$eq" : "ana"
                    }
                }
            ]
        },
        "winningPlan" : {
            "stage" : "FETCH",
            "filter" : {
                "name" : {
                    "$eq" : "ana"
                }
            },
            "inputStage" : {
                "stage" : "IXSCAN",
                "keyPattern" : {
                    "_id" : 1
                },
                "indexName" : "_id_",
                "isMultiKey" : false,
                "multiKeyPaths" : {
                    "_id" : []
                },
                "isUnique" : true,
                "isSparse" : false,
                "isPartial" : false,
                "indexVersion" : 2,
                "direction" : "forward",
                "indexBounds" : {
                    "_id" : [ 
                        "[ObjectId('5ee9b6c125b9a9a426d9965f'), ObjectId('5ee9b6c125b9a9a426d9965f')]"
                    ]
                }
            }
        },
        "rejectedPlans" : []
    },
"queryPlanner" : {
        "plannerVersion" : 1,
        "namespace" : "anonymous-chat.users",
        "indexFilterSet" : false,
        "parsedQuery" : {
            "$and" : [ 
                {
                    "appId" : {
                        "$eq" : 1.0
                    }
                }, 
                {
                    "name" : {
                        "$eq" : "ana"
                    }
                }
            ]
        },
        "winningPlan" : {
            "stage" : "COLLSCAN",
            "filter" : {
                "$and" : [ 
                    {
                        "appId" : {
                            "$eq" : 1.0
                        }
                    }, 
                    {
                        "name" : {
                            "$eq" : "ana"
                        }
                    }
                ]
            },
            "direction" : "forward"
        },
        "rejectedPlans" : []
    },
-----------------------
"queryPlanner" : {
        "plannerVersion" : 1,
        "namespace" : "anonymous-chat.users",
        "indexFilterSet" : false,
        "parsedQuery" : {
            "name" : {
                "$eq" : "ana"
            }
        },
        "winningPlan" : {
            "stage" : "COLLSCAN",
            "filter" : {
                "name" : {
                    "$eq" : "ana"
                }
            },
            "direction" : "forward"
        },
        "rejectedPlans" : []
    },
db.getCollection('users').find({"_id":ObjectId("5ee9b6c125b9a9a426d9965f")}).explain("executionStats")
"queryPlanner" : {
        "plannerVersion" : 1,
        "namespace" : "anonymous-chat.users",
        "indexFilterSet" : false,
        "parsedQuery" : {
            "_id" : {
                "$eq" : ObjectId("5ee9b6c125b9a9a426d9965f")
            }
        },
        "winningPlan" : {
            "stage" : "IDHACK"
        },
        "rejectedPlans" : []
    },
db.getCollection('users').find({"_id":ObjectId("5ee9b6c125b9a9a426d9965f"), "name":"ana"}).explain("executionStats")
 "queryPlanner" : {
        "plannerVersion" : 1,
        "namespace" : "anonymous-chat.users",
        "indexFilterSet" : false,
        "parsedQuery" : {
            "$and" : [ 
                {
                    "_id" : {
                        "$eq" : ObjectId("5ee9b6c125b9a9a426d9965f")
                    }
                }, 
                {
                    "name" : {
                        "$eq" : "ana"
                    }
                }
            ]
        },
        "winningPlan" : {
            "stage" : "FETCH",
            "filter" : {
                "name" : {
                    "$eq" : "ana"
                }
            },
            "inputStage" : {
                "stage" : "IXSCAN",
                "keyPattern" : {
                    "_id" : 1
                },
                "indexName" : "_id_",
                "isMultiKey" : false,
                "multiKeyPaths" : {
                    "_id" : []
                },
                "isUnique" : true,
                "isSparse" : false,
                "isPartial" : false,
                "indexVersion" : 2,
                "direction" : "forward",
                "indexBounds" : {
                    "_id" : [ 
                        "[ObjectId('5ee9b6c125b9a9a426d9965f'), ObjectId('5ee9b6c125b9a9a426d9965f')]"
                    ]
                }
            }
        },
        "rejectedPlans" : []
    },
"queryPlanner" : {
        "plannerVersion" : 1,
        "namespace" : "anonymous-chat.users",
        "indexFilterSet" : false,
        "parsedQuery" : {
            "$and" : [ 
                {
                    "appId" : {
                        "$eq" : 1.0
                    }
                }, 
                {
                    "name" : {
                        "$eq" : "ana"
                    }
                }
            ]
        },
        "winningPlan" : {
            "stage" : "COLLSCAN",
            "filter" : {
                "$and" : [ 
                    {
                        "appId" : {
                            "$eq" : 1.0
                        }
                    }, 
                    {
                        "name" : {
                            "$eq" : "ana"
                        }
                    }
                ]
            },
            "direction" : "forward"
        },
        "rejectedPlans" : []
    },

Render the key value of a dictionary based on an event in Django

copy iconCopydownload iconDownload
<select class="form-control" id="exampleFormControlSelect1">
    {% for key, values in yourdict %}
    <option value={{ values }}>{{ key }}</option>
    {% endfor %}
</select>
<select class="form-control" id="exampleFormControlSelect1" onchange="populateSecond()"></select>
function populateSecond() {
   var select1 = document.getElementById("exampleFormControlSelect1");       
   var select2 = document.getElementById("exampleFormControlSelect2");       
   var selectedValue = select1.options[select1.selectedIndex].value;
   selectedValue.forEach(function(element){       
       select2.appendChild(element);  
   }     
}
-----------------------
<select class="form-control" id="exampleFormControlSelect1">
    {% for key, values in yourdict %}
    <option value={{ values }}>{{ key }}</option>
    {% endfor %}
</select>
<select class="form-control" id="exampleFormControlSelect1" onchange="populateSecond()"></select>
function populateSecond() {
   var select1 = document.getElementById("exampleFormControlSelect1");       
   var select2 = document.getElementById("exampleFormControlSelect2");       
   var selectedValue = select1.options[select1.selectedIndex].value;
   selectedValue.forEach(function(element){       
       select2.appendChild(element);  
   }     
}
-----------------------
<select class="form-control" id="exampleFormControlSelect1">
    {% for key, values in yourdict %}
    <option value={{ values }}>{{ key }}</option>
    {% endfor %}
</select>
<select class="form-control" id="exampleFormControlSelect1" onchange="populateSecond()"></select>
function populateSecond() {
   var select1 = document.getElementById("exampleFormControlSelect1");       
   var select2 = document.getElementById("exampleFormControlSelect2");       
   var selectedValue = select1.options[select1.selectedIndex].value;
   selectedValue.forEach(function(element){       
       select2.appendChild(element);  
   }     
}

How can I search variables from another template

copy iconCopydownload iconDownload
<form action="{% url 'loststuffapp:Miscellaneous' %}" method="GET" value="{{request.GET.q}}" class="navbar-form" role="search" style="margin-left: 25em;">
        <input type="text"placeholder="Search....." name="q">
        <button type="submit"><i class="fa fa-search"></i></button>
</form>

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QUESTION

autoincrement number function-postgres

Asked 2022-Feb-16 at 11:13

i have a table like this:

id person
20 adams
20 george
40 jina
46 rico
80 naya
90 john
90 peter
90 richard

i want to find a way to select a new_id starting from 1 and increazing +1 every time id is different. for example i want a select with a result like this:

new_id id person
1 20 adams
1 20 george
2 40 jina
3 46 rico
4 80 naya
5 90 john
5 90 peter
5 90 richard

is there any function in postgres doing something like that?

ANSWER

Answered 2022-Feb-16 at 11:13

use dense_rank()

select dense_rank()over(order by id) as newid,id,persion
from table_name

Source https://stackoverflow.com/questions/71140609

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

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Install jina

For Jina 2.x users, please uninstall it via pip uninstall jina before installing Jina 3. Please also read the 2 to 3 migration guide.
We promise you can build a scalable ResNet-powered image search service in 20 minutes or less, from scratch to Kubernetes. If not, you can forget about Jina.
Import what we need.
Import what we need. from docarray import Document, DocumentArray from jina import Executor, Flow, requests
Copy-paste the preprocessing step and wrap it via Executor: class PreprocImg(Executor): @requests async def foo(self, docs: DocumentArray, **kwargs): for d in docs: ( d.load_uri_to_image_tensor(200, 200) # load .set_image_tensor_normalization() # normalize color .set_image_tensor_channel_axis( -1, 0 ) # switch color axis for the PyTorch model later )
Copy-paste the embedding step and wrap it via Executor: class EmbedImg(Executor): def __init__(self, **kwargs): super().__init__(**kwargs) import torchvision self.model = torchvision.models.resnet50(pretrained=True) @requests async def foo(self, docs: DocumentArray, **kwargs): docs.embed(self.model)
Wrap the matching step into an Executor: class MatchImg(Executor): _da = DocumentArray() @requests(on='/index') async def index(self, docs: DocumentArray, **kwargs): self._da.extend(docs) docs.clear() # clear content to save bandwidth @requests(on='/search') async def foo(self, docs: DocumentArray, **kwargs): docs.match(self._da, limit=9) del docs[...][:, ('embedding', 'tensor')] # save bandwidth as it is not needed
Connect all Executors in a Flow, scale embedding to 3: f = ( Flow(port_expose=12345) .add(uses=PreprocImg) .add(uses=EmbedImg, replicas=3) .add(uses=MatchImg) ) Plot it via f.plot('flow.svg') and you get:
Download the image dataset.
Index image data: with f: f.post( '/index', index_data, show_progress=True, request_size=8, ) f.block()

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