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squadron | A testing framework for containerized and cloud services | Continuous Deployment library

 by   SwissLife-OSS C# Version: 0.15.0-preview.3 License: MIT

 by   SwissLife-OSS C# Version: 0.15.0-preview.3 License: MIT

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kandi X-RAY | squadron Summary

squadron is a C# library typically used in Devops, Continuous Deployment, Docker applications. squadron has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.
Squadron is a helpful framework which enables you to write tests against dependent services without any overhead. Squadron can provide you isolation in tests through Container Providers or support for all other services through Cloud Providers. To get more detailed information about Squadron, go to the Squadron Docs.
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support Support

  • squadron has a low active ecosystem.
  • It has 69 star(s) with 12 fork(s). There are 7 watchers for this library.
  • There were 2 major release(s) in the last 6 months.
  • There are 18 open issues and 14 have been closed. On average issues are closed in 100 days. There are 4 open pull requests and 0 closed requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of squadron is 0.15.0-preview.3
squadron Support
Best in #Continuous Deployment
Average in #Continuous Deployment
squadron Support
Best in #Continuous Deployment
Average in #Continuous Deployment

quality kandi Quality

  • squadron has 0 bugs and 0 code smells.
squadron Quality
Best in #Continuous Deployment
Average in #Continuous Deployment
squadron Quality
Best in #Continuous Deployment
Average in #Continuous Deployment

securitySecurity

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

license License

  • squadron is licensed under the MIT License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
squadron License
Best in #Continuous Deployment
Average in #Continuous Deployment
squadron License
Best in #Continuous Deployment
Average in #Continuous Deployment

buildReuse

  • squadron releases are available to install and integrate.
  • Installation instructions, examples and code snippets are available.
squadron Reuse
Best in #Continuous Deployment
Average in #Continuous Deployment
squadron Reuse
Best in #Continuous Deployment
Average in #Continuous Deployment
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squadron Key Features

A testing framework for containerized and cloud services

Install

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dotnet add package Squadron.Mongo

Access

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public class AccountRepositoryTests
    : IClassFixture<MongoResource>
{
    private readonly MongoResource _mongoResource;

    public AccountRepositoryTests(
        MongoResource mongoResource)
    {
        _mongoResource = mongoResource;
    }
}

Use

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[Fact]
public void CreateAccount_AccountExists()
{
    // arrange
    var database = _mongoResource.CreateDatabase();
    var accountRepository = new AccountRepository(database);
    var account = new Account();

    // act
    var addedAccount = accountRepository.Add(account);

    // assert
    Snapshot.Match(addedAccount);
}

How to change an object in React-redux state using a Hook

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const reducer = (state, action) => {
    switch (action.type) {

       // INFO
       case "INFO_HEX":
           return { 
               ...state,
               hexInfo: {
                   ...state.hexInfo, 
                   active: !state.hexInfo.active, 
               }
           } 
        
       default: return state;
   }
};
import produce from 'immer';

const initialState = {
    hexInfo: {
        name: "Hex Squadron",
        active: true,
    }
};

const reducer = (state = initialState, action) =>
    produce(state, (draft) => {
        switch (action.type) {
            case INFO_HEX:
                draft.hexInfo.active = !state.hexInfo.active;
                break;
            default:
        }
    });

export default reducer;
-----------------------
const reducer = (state, action) => {
    switch (action.type) {

       // INFO
       case "INFO_HEX":
           return { 
               ...state,
               hexInfo: {
                   ...state.hexInfo, 
                   active: !state.hexInfo.active, 
               }
           } 
        
       default: return state;
   }
};
import produce from 'immer';

const initialState = {
    hexInfo: {
        name: "Hex Squadron",
        active: true,
    }
};

const reducer = (state = initialState, action) =>
    produce(state, (draft) => {
        switch (action.type) {
            case INFO_HEX:
                draft.hexInfo.active = !state.hexInfo.active;
                break;
            default:
        }
    });

export default reducer;

Extracting two columns from a dataframe contained within a nested list

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do.call(rbind, lapply(participants$lists, function(x) x$pilots[c("id", "ship")]))
do.call(rbind, lapply(participants$lists, function(x) {
              x1 <- x$pilots
              if(all(c("id", "ship") %in% names(x1))) {
                x1[c("id", "ship")]
               }
             }))
lst1 <- lapply(participants$lists, function(x) {
              x1 <- x$pilots
              if(all(c("id", "ship") %in% names(x1))) {
                x1[c("id", "ship")]
               }
             })
i1 <- sapply(lst1, NROW) > 0
lst1[i1] <- Map(cbind, id2 = participants$id[i1], lst1[i1])
out <- do.call(rbind, lst1)
-----------------------
do.call(rbind, lapply(participants$lists, function(x) x$pilots[c("id", "ship")]))
do.call(rbind, lapply(participants$lists, function(x) {
              x1 <- x$pilots
              if(all(c("id", "ship") %in% names(x1))) {
                x1[c("id", "ship")]
               }
             }))
lst1 <- lapply(participants$lists, function(x) {
              x1 <- x$pilots
              if(all(c("id", "ship") %in% names(x1))) {
                x1[c("id", "ship")]
               }
             })
i1 <- sapply(lst1, NROW) > 0
lst1[i1] <- Map(cbind, id2 = participants$id[i1], lst1[i1])
out <- do.call(rbind, lst1)
-----------------------
do.call(rbind, lapply(participants$lists, function(x) x$pilots[c("id", "ship")]))
do.call(rbind, lapply(participants$lists, function(x) {
              x1 <- x$pilots
              if(all(c("id", "ship") %in% names(x1))) {
                x1[c("id", "ship")]
               }
             }))
lst1 <- lapply(participants$lists, function(x) {
              x1 <- x$pilots
              if(all(c("id", "ship") %in% names(x1))) {
                x1[c("id", "ship")]
               }
             })
i1 <- sapply(lst1, NROW) > 0
lst1[i1] <- Map(cbind, id2 = participants$id[i1], lst1[i1])
out <- do.call(rbind, lst1)

Join tables where no common field exists and based on ID columns

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with inst as (select inst_id, col, col_id 
from (select rownum as inst_id, a.* from instructor a)
unpivot
(col_id for col in (status_id as 'STATUS',rank_id as 'RANK',specialty_id as 'SPECIALTY',duty_title_id as 'DUTY_TITLE')
))
select * from 
(select inst_id,col,item_value from inst,
(select a.option_type,b.option_item_id,b.item_value from LIST_OPTION_TYPE a, list_option_id b
where a.option_type_id = b.option_type_id) opt
where inst.col = upper(option_type)
and option_item_id = col_id)
pivot
(max(item_value)
for col in ('STATUS','RANK','SPECIALTY','DUTY_TITLE')
) order by inst_id;

Protocol Buffer Corrupting Data

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270:                     0x00 0x00 0x00 0x00 0x00 0xe0 0x70 0x40
1.2168372663711258e-309: 0x00 0x00 0x00 0x00 0x00 0xe0 0x00 0x00

Header error in saving a new entry in MongoDB by using Angular 8

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router.post('/addNewEntry', (req, res, next) => {
    var newEntry = req.body;
    db.get().collection('data')
            .insert(newEntry, (err, data) => {
                if (err) { 
                    return res.send(err) 
                }
                res.json({status: 'OK'});
            });
});

Scraping .aspx site after click

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from selenium import webdriver

driver = webdriver.Chrome('chromedriver.exe')
driver.get("https://www.cnatra.navy.mil/scheds/schedule_data.aspx?sq=vt-9")
button = driver.find_element_by_id('btnViewSched')
button.click()
print(driver.find_element_by_id('dgEvents').text)
TYPE VT Brief EDT RTB Instructor Student Event Hrs Remarks Location
Flight VT-9 07:45 09:45 11:15 JARVIS, GRANT M [LT] LENNOX, KEVIN I [ENS] BI4101 1.5 2 HR BRIEF MASS BRIEF  
Flight VT-9 07:45 09:45 11:15 MOYNAHAN, WILLIAM P [CDR] FINNERAN, MATTHEW P [1stLt] BI4101 1.5 2 HR BRIEF MASS BRIEF  
Flight VT-9 07:45 12:15 13:45 JARVIS, GRANT M [LT] TAYLOR, ADAM R [1stLt] BI4101 1.5 2 HR BRIEF MASS BRIEF @ 0745 W/ JARVIS MEI OPS  
Flight VT-9 07:45 12:15 13:45 MOYNAHAN, WILLIAM P [CDR] LOW, TRENTON G [ENS] BI4101 1.5 2 HR BRIEF MASS BRIEF @ 0745 W/ MOYNAHAN MEI OPS  
Watch VT-9   00:00 14:00 ANDERSON, LAURA [LT]   ODO (ON CALL) 14.0    
Watch VT-9   00:00 14:00 ANDERSON, LAURA [LT]   ODO (ON CALL) 14.0    
Watch VT-9   00:00 23:59 ANDERSON, LAURA [LT]   ODO (ON CALL) 24.0    
Watch VT-9   00:00 23:59 ANDERSON, LAURA [LT]   ODO (ON CALL) 24.0    
Watch VT-9   07:00 19:00   STUY, JOHN [LTJG] DAY IWO 12.0    
Watch VT-9   19:00 07:00   STRACHAN, ALLYSON [LTJG] IWO 12.0    
-----------------------
from selenium import webdriver

driver = webdriver.Chrome('chromedriver.exe')
driver.get("https://www.cnatra.navy.mil/scheds/schedule_data.aspx?sq=vt-9")
button = driver.find_element_by_id('btnViewSched')
button.click()
print(driver.find_element_by_id('dgEvents').text)
TYPE VT Brief EDT RTB Instructor Student Event Hrs Remarks Location
Flight VT-9 07:45 09:45 11:15 JARVIS, GRANT M [LT] LENNOX, KEVIN I [ENS] BI4101 1.5 2 HR BRIEF MASS BRIEF  
Flight VT-9 07:45 09:45 11:15 MOYNAHAN, WILLIAM P [CDR] FINNERAN, MATTHEW P [1stLt] BI4101 1.5 2 HR BRIEF MASS BRIEF  
Flight VT-9 07:45 12:15 13:45 JARVIS, GRANT M [LT] TAYLOR, ADAM R [1stLt] BI4101 1.5 2 HR BRIEF MASS BRIEF @ 0745 W/ JARVIS MEI OPS  
Flight VT-9 07:45 12:15 13:45 MOYNAHAN, WILLIAM P [CDR] LOW, TRENTON G [ENS] BI4101 1.5 2 HR BRIEF MASS BRIEF @ 0745 W/ MOYNAHAN MEI OPS  
Watch VT-9   00:00 14:00 ANDERSON, LAURA [LT]   ODO (ON CALL) 14.0    
Watch VT-9   00:00 14:00 ANDERSON, LAURA [LT]   ODO (ON CALL) 14.0    
Watch VT-9   00:00 23:59 ANDERSON, LAURA [LT]   ODO (ON CALL) 24.0    
Watch VT-9   00:00 23:59 ANDERSON, LAURA [LT]   ODO (ON CALL) 24.0    
Watch VT-9   07:00 19:00   STUY, JOHN [LTJG] DAY IWO 12.0    
Watch VT-9   19:00 07:00   STRACHAN, ALLYSON [LTJG] IWO 12.0    
-----------------------
import requests
from bs4 import BeautifulSoup

headers = {
    'Connection': 'keep-alive',
    'Cache-Control': 'max-age=0',
    'Upgrade-Insecure-Requests': '1',
    'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_4) AppleWebKit/537.36 (KHTML, like Gecko) '
                  'Chrome/73.0.3683.86 Safari/537.36',
    'DNT': '1',
    'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,'
              'application/signed-exchange;v=b3',
    'Accept-Encoding': 'gzip, deflate, br',
    'Accept-Language': 'ru,en-US;q=0.9,en;q=0.8,tr;q=0.7',
}
response = requests.get('https://www.cnatra.navy.mil/scheds/schedule_data.aspx?sq=vt-9', headers=headers)
assert response.ok

page = BeautifulSoup(response.text, "lxml")
# get __VIEWSTATE, __EVENTVALIDATION and __VIEWSTATEGENERATOR for further requests
__VIEWSTATE = page.find("input", attrs={"id": "__VIEWSTATE"}).attrs["value"]
__EVENTVALIDATION = page.find("input", attrs={"id": "__EVENTVALIDATION"}).attrs["value"]
__VIEWSTATEGENERATOR = page.find("input", attrs={"id": "__VIEWSTATEGENERATOR"}).attrs["value"]

# View Schedule click set here
data = {
  '__EVENTTARGET': '',
  '__EVENTARGUMENT': '',
  '__VIEWSTATE': __VIEWSTATE,
  '__VIEWSTATEGENERATOR': __VIEWSTATEGENERATOR,
  '__EVENTVALIDATION': __EVENTVALIDATION,
  'btnViewSched': 'View Schedule',
  'txtNameSearch': ''
}
# request with params
response = requests.post('https://www.cnatra.navy.mil/scheds/schedule_data.aspx?sq=vt-9', headers=headers, data=data)
assert response.ok

page = BeautifulSoup(response.text, "lxml")
# get table headers to map as a keys in result
table_headers = [td.text.strip() for td in page.select("#dgEvents tr:first-child td")]
# get all rows, without table headers
table_rows = page.select("#dgEvents tr:not(:first-child)")

result = []
for row in table_rows:
    table_columns = row.find_all("td")

    # use map with results for row and add all columns as map (key:value)
    row_result = {}
    for i in range(0, len(table_headers)):
        row_result[table_headers[i]] = table_columns[i].text.strip()

    # add row_result to result list
    result.append(row_result)

for r in result:
    print(r)

print("the end")

Item Alignment in Navbar

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<div id="navbar" class="w3-bar">
    <div class="w3-row">
      <div class="w3-col l5">
        ...
      </div>
      <div class="w3-col l1 s1 m1 w3-hide-large" style="height: 38.5px;">
        ...
      </div>        
      <div class="w3-col l2 s3 m6 w3-hide-small w3-hide-medium" style="height: 38.5px;">
        ...
      </div>       
      <div class="w3-col s1 m1 w3-hide-large">
        <!-- Hide Navbars and Display Menu Icon -->
        <a class="w3-bar-item w3-button w3-right" href="javascript:void(0)" onclick="w3_open()">
          <i class="fa fa-bars"></i>
        </a>
      </div>
      <div class="w3-col l5 w3-hide-small w3-hide-medium">
        ...
      </div>
    </div>
  </div>

Flexbox not displaying properly in IE or Chrome

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#Experience .Experience .Date {
    flex-shrink: 0;                       /*  added  */
    height: 160px;
    width: 172px;
    position: relative;
    display: block;
}
-----------------------
body {
  font: 13px / 23px Roboto, sans-serif;
 }
 #Experience {

 }

 #Experience h4 {
  color: #262626;
  font: normal normal 300 normal 23px / 29.12px Roboto, sans-serif;
 }
  
  .H6{
    text-align: center;
    display: inline-block;
    border: 2px solid #404040;
    width: 20vw;
    float: left;
    background-color: #f1f1f1;
    margin: 2vw;
  }
  
  .WorkExperience{
    border: 2px solid #404040;
    width: 50vw;
    margin-left: 18vw;
    padding: 2vw;
  }
<div id="Experience" class="Block">
 <h4>
  Work Experience
 </h4>
 <div class="Experience">
  <div class="Date">
   <div>
    <h6 class="H6">January 2015 -<br />Present</h6>
   </div>
   <span class="Angle"></span>
  </div>
  <div class="WorkExperience">
   <h6>Boundary Protection Engineering <span>U.S. Air Force</span></h6>
   <p>System Administrator of $10 billion United States Air Force Intra-Network (AFIN) Boundary Protection Cyberspace Security and Control System Weapon System (CSCS/WS) responsible for 1,070 firewalls, proxies, and VPN’s across 121 geographically separated locations in order to evaluate, detect, prevent and implement countermeasures to protect clients, networks, and data & voice systems to include Secure Internet Protocol Routing (SIPR) network mission systems from unauthorized network activity.</p>
   <ul>
    <li>Directed 624th Operations Command (OC) U.S. Cyber Command (USCYBERCOM) mission mapping 83rd Network Operations Squadron (NOS) key weapon systems paving future for Defensive Cyber Operations (DCO) missions.</li>
    <li>Bolstered data mining capabilities by 55% by meticulously developing new Electronically Stored Information (ESI) requests logging/search process.</li>
    <li>Promptly identified and resolved critical Air Force Security Assistance Center (AFSAC) service outage identifying and resolving 8 firewall security tunnel circuits enabling $166B global peacekeeping operations.</li>
   </ul>
  </div>
 </div>
-----------------------
body {
  font: 13px / 23px Roboto, sans-serif;
 }
 #Experience {

 }

 #Experience h4 {
  color: #262626;
  font: normal normal 300 normal 23px / 29.12px Roboto, sans-serif;
 }
  
  .H6{
    text-align: center;
    display: inline-block;
    border: 2px solid #404040;
    width: 20vw;
    float: left;
    background-color: #f1f1f1;
    margin: 2vw;
  }
  
  .WorkExperience{
    border: 2px solid #404040;
    width: 50vw;
    margin-left: 18vw;
    padding: 2vw;
  }
<div id="Experience" class="Block">
 <h4>
  Work Experience
 </h4>
 <div class="Experience">
  <div class="Date">
   <div>
    <h6 class="H6">January 2015 -<br />Present</h6>
   </div>
   <span class="Angle"></span>
  </div>
  <div class="WorkExperience">
   <h6>Boundary Protection Engineering <span>U.S. Air Force</span></h6>
   <p>System Administrator of $10 billion United States Air Force Intra-Network (AFIN) Boundary Protection Cyberspace Security and Control System Weapon System (CSCS/WS) responsible for 1,070 firewalls, proxies, and VPN’s across 121 geographically separated locations in order to evaluate, detect, prevent and implement countermeasures to protect clients, networks, and data & voice systems to include Secure Internet Protocol Routing (SIPR) network mission systems from unauthorized network activity.</p>
   <ul>
    <li>Directed 624th Operations Command (OC) U.S. Cyber Command (USCYBERCOM) mission mapping 83rd Network Operations Squadron (NOS) key weapon systems paving future for Defensive Cyber Operations (DCO) missions.</li>
    <li>Bolstered data mining capabilities by 55% by meticulously developing new Electronically Stored Information (ESI) requests logging/search process.</li>
    <li>Promptly identified and resolved critical Air Force Security Assistance Center (AFSAC) service outage identifying and resolving 8 firewall security tunnel circuits enabling $166B global peacekeeping operations.</li>
   </ul>
  </div>
 </div>

How to create a new column with sub string based on a column with long string using ifelse and grepl?

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ac$new  <-ifelse(apply(sapply(c("struck","bird","crash"), grepl, as.character(s$s)), 1, all) ,"struck by bird and crashed",
          ifelse(apply(sapply(c("struck","obstacle","crash"), grepl, as.character(s$s)), 1, all) ,"struck by obstacle and Crashed",
          ifelse(apply(sapply(c("miss" , "crash"), grepl, as.character(s$s)), 1, all) ,"missing and crashed",
          ifelse(apply(sapply(c("shot" , "crash"), grepl, as.character(s$s)), 1, all) ,"shot down and crashed",
          ifelse(apply(sapply(c("struck","lightening"), grepl, as.character(s$s)), 1, all) ,"struck by lightening and crashed",
          ifelse(apply(sapply(c("explode","crash"), grepl, as.character(s$s)), 1 , all) ,"exploded and crashed",
          ifelse(apply(sapply(c("engine|failure"), grepl, as.character(s$s)), 1 , all) ,"engine failure",
          ifelse(apply(sapply(c("fog","crash"), grepl, as.character(s$s)) , 1, all) ,"crashed due to heavy fog",
          ifelse(apply(sapply(c("fire","crash"), grepl, as.character(s$s)), 1, all) ,"caught fire and crashed",
          ifelse(apply(sapply("shot", grepl, as.character(s$s)), 1, all) ,"shot down",
          ifelse(apply(sapply("crash", grepl, as.character(s$s)), 1, all), "crashed",
          ifelse(apply(sapply("explode", grepl, as.character(s$s)), 1, all), "exploded",
          ifelse(apply(sapply("fire", grepl, as.character(s$s)), 1, all),"caught fire",
          ifelse(apply(sapply("disappear", grepl, as.character(s$s)), 1, all), "Disappeared","others"))))))))))))))
1                   others
2                 exploded
3                   others
4                  crashed
5           engine failure
6    shot down and crashed
7                 exploded
8                  crashed
9    shot down and crashed
10               shot down
11                 crashed
12   shot down and crashed
13 caught fire and crashed
ac <- data.frame(s = as.character(t), word.que = seq(1, length(t), by = 1))

ac$word.count <- sapply(gregexpr(" ", ac$s), length) + 1

new.mat <- data.frame(word.que = rep.int(ac$word.que, ac$word.count), word = unlist(strsplit(as.character(ac$s), split = " ")))
words.of.interest <- c("struck|bird|crash|obstacle|miss|shot|struck|lightening|explode|engine|failure|fog|fire|disappear")
new.mats<- new.mat %>%
           mutate(word = gsub("\\,", "", gsub("\\.", "", word))) %>%
           mutate(word.interest = ifelse(grepl(words.of.interest, as.character(word)), 1, 0)) %>%
           filter(word.interest == 1) %>%
           group_by(word.que) %>% 
           summarise(word.list = paste0(unique(word), collapse = "; ")) %>%
           full_join(ac, by = "word.que" ) %>%
           arrange(word.que) %>%
           mutate(word.list = ifelse(is.na(word.list), 'other', word.list))
   word.que           word.list
1         1               other
2         2            exploded
3         3               other
4         4            crashing
5         5     engine; explode
6         6       crashed; shot
7         7            exploded
8         8             crashed
9         9      shot; crashing
10       10                shot
11       11             crashed
12       12 shot; fire; crashed
13       13       fire; crashed
-----------------------
ac$new  <-ifelse(apply(sapply(c("struck","bird","crash"), grepl, as.character(s$s)), 1, all) ,"struck by bird and crashed",
          ifelse(apply(sapply(c("struck","obstacle","crash"), grepl, as.character(s$s)), 1, all) ,"struck by obstacle and Crashed",
          ifelse(apply(sapply(c("miss" , "crash"), grepl, as.character(s$s)), 1, all) ,"missing and crashed",
          ifelse(apply(sapply(c("shot" , "crash"), grepl, as.character(s$s)), 1, all) ,"shot down and crashed",
          ifelse(apply(sapply(c("struck","lightening"), grepl, as.character(s$s)), 1, all) ,"struck by lightening and crashed",
          ifelse(apply(sapply(c("explode","crash"), grepl, as.character(s$s)), 1 , all) ,"exploded and crashed",
          ifelse(apply(sapply(c("engine|failure"), grepl, as.character(s$s)), 1 , all) ,"engine failure",
          ifelse(apply(sapply(c("fog","crash"), grepl, as.character(s$s)) , 1, all) ,"crashed due to heavy fog",
          ifelse(apply(sapply(c("fire","crash"), grepl, as.character(s$s)), 1, all) ,"caught fire and crashed",
          ifelse(apply(sapply("shot", grepl, as.character(s$s)), 1, all) ,"shot down",
          ifelse(apply(sapply("crash", grepl, as.character(s$s)), 1, all), "crashed",
          ifelse(apply(sapply("explode", grepl, as.character(s$s)), 1, all), "exploded",
          ifelse(apply(sapply("fire", grepl, as.character(s$s)), 1, all),"caught fire",
          ifelse(apply(sapply("disappear", grepl, as.character(s$s)), 1, all), "Disappeared","others"))))))))))))))
1                   others
2                 exploded
3                   others
4                  crashed
5           engine failure
6    shot down and crashed
7                 exploded
8                  crashed
9    shot down and crashed
10               shot down
11                 crashed
12   shot down and crashed
13 caught fire and crashed
ac <- data.frame(s = as.character(t), word.que = seq(1, length(t), by = 1))

ac$word.count <- sapply(gregexpr(" ", ac$s), length) + 1

new.mat <- data.frame(word.que = rep.int(ac$word.que, ac$word.count), word = unlist(strsplit(as.character(ac$s), split = " ")))
words.of.interest <- c("struck|bird|crash|obstacle|miss|shot|struck|lightening|explode|engine|failure|fog|fire|disappear")
new.mats<- new.mat %>%
           mutate(word = gsub("\\,", "", gsub("\\.", "", word))) %>%
           mutate(word.interest = ifelse(grepl(words.of.interest, as.character(word)), 1, 0)) %>%
           filter(word.interest == 1) %>%
           group_by(word.que) %>% 
           summarise(word.list = paste0(unique(word), collapse = "; ")) %>%
           full_join(ac, by = "word.que" ) %>%
           arrange(word.que) %>%
           mutate(word.list = ifelse(is.na(word.list), 'other', word.list))
   word.que           word.list
1         1               other
2         2            exploded
3         3               other
4         4            crashing
5         5     engine; explode
6         6       crashed; shot
7         7            exploded
8         8             crashed
9         9      shot; crashing
10       10                shot
11       11             crashed
12       12 shot; fire; crashed
13       13       fire; crashed
-----------------------
ac$new  <-ifelse(apply(sapply(c("struck","bird","crash"), grepl, as.character(s$s)), 1, all) ,"struck by bird and crashed",
          ifelse(apply(sapply(c("struck","obstacle","crash"), grepl, as.character(s$s)), 1, all) ,"struck by obstacle and Crashed",
          ifelse(apply(sapply(c("miss" , "crash"), grepl, as.character(s$s)), 1, all) ,"missing and crashed",
          ifelse(apply(sapply(c("shot" , "crash"), grepl, as.character(s$s)), 1, all) ,"shot down and crashed",
          ifelse(apply(sapply(c("struck","lightening"), grepl, as.character(s$s)), 1, all) ,"struck by lightening and crashed",
          ifelse(apply(sapply(c("explode","crash"), grepl, as.character(s$s)), 1 , all) ,"exploded and crashed",
          ifelse(apply(sapply(c("engine|failure"), grepl, as.character(s$s)), 1 , all) ,"engine failure",
          ifelse(apply(sapply(c("fog","crash"), grepl, as.character(s$s)) , 1, all) ,"crashed due to heavy fog",
          ifelse(apply(sapply(c("fire","crash"), grepl, as.character(s$s)), 1, all) ,"caught fire and crashed",
          ifelse(apply(sapply("shot", grepl, as.character(s$s)), 1, all) ,"shot down",
          ifelse(apply(sapply("crash", grepl, as.character(s$s)), 1, all), "crashed",
          ifelse(apply(sapply("explode", grepl, as.character(s$s)), 1, all), "exploded",
          ifelse(apply(sapply("fire", grepl, as.character(s$s)), 1, all),"caught fire",
          ifelse(apply(sapply("disappear", grepl, as.character(s$s)), 1, all), "Disappeared","others"))))))))))))))
1                   others
2                 exploded
3                   others
4                  crashed
5           engine failure
6    shot down and crashed
7                 exploded
8                  crashed
9    shot down and crashed
10               shot down
11                 crashed
12   shot down and crashed
13 caught fire and crashed
ac <- data.frame(s = as.character(t), word.que = seq(1, length(t), by = 1))

ac$word.count <- sapply(gregexpr(" ", ac$s), length) + 1

new.mat <- data.frame(word.que = rep.int(ac$word.que, ac$word.count), word = unlist(strsplit(as.character(ac$s), split = " ")))
words.of.interest <- c("struck|bird|crash|obstacle|miss|shot|struck|lightening|explode|engine|failure|fog|fire|disappear")
new.mats<- new.mat %>%
           mutate(word = gsub("\\,", "", gsub("\\.", "", word))) %>%
           mutate(word.interest = ifelse(grepl(words.of.interest, as.character(word)), 1, 0)) %>%
           filter(word.interest == 1) %>%
           group_by(word.que) %>% 
           summarise(word.list = paste0(unique(word), collapse = "; ")) %>%
           full_join(ac, by = "word.que" ) %>%
           arrange(word.que) %>%
           mutate(word.list = ifelse(is.na(word.list), 'other', word.list))
   word.que           word.list
1         1               other
2         2            exploded
3         3               other
4         4            crashing
5         5     engine; explode
6         6       crashed; shot
7         7            exploded
8         8             crashed
9         9      shot; crashing
10       10                shot
11       11             crashed
12       12 shot; fire; crashed
13       13       fire; crashed
-----------------------
ac$new  <-ifelse(apply(sapply(c("struck","bird","crash"), grepl, as.character(s$s)), 1, all) ,"struck by bird and crashed",
          ifelse(apply(sapply(c("struck","obstacle","crash"), grepl, as.character(s$s)), 1, all) ,"struck by obstacle and Crashed",
          ifelse(apply(sapply(c("miss" , "crash"), grepl, as.character(s$s)), 1, all) ,"missing and crashed",
          ifelse(apply(sapply(c("shot" , "crash"), grepl, as.character(s$s)), 1, all) ,"shot down and crashed",
          ifelse(apply(sapply(c("struck","lightening"), grepl, as.character(s$s)), 1, all) ,"struck by lightening and crashed",
          ifelse(apply(sapply(c("explode","crash"), grepl, as.character(s$s)), 1 , all) ,"exploded and crashed",
          ifelse(apply(sapply(c("engine|failure"), grepl, as.character(s$s)), 1 , all) ,"engine failure",
          ifelse(apply(sapply(c("fog","crash"), grepl, as.character(s$s)) , 1, all) ,"crashed due to heavy fog",
          ifelse(apply(sapply(c("fire","crash"), grepl, as.character(s$s)), 1, all) ,"caught fire and crashed",
          ifelse(apply(sapply("shot", grepl, as.character(s$s)), 1, all) ,"shot down",
          ifelse(apply(sapply("crash", grepl, as.character(s$s)), 1, all), "crashed",
          ifelse(apply(sapply("explode", grepl, as.character(s$s)), 1, all), "exploded",
          ifelse(apply(sapply("fire", grepl, as.character(s$s)), 1, all),"caught fire",
          ifelse(apply(sapply("disappear", grepl, as.character(s$s)), 1, all), "Disappeared","others"))))))))))))))
1                   others
2                 exploded
3                   others
4                  crashed
5           engine failure
6    shot down and crashed
7                 exploded
8                  crashed
9    shot down and crashed
10               shot down
11                 crashed
12   shot down and crashed
13 caught fire and crashed
ac <- data.frame(s = as.character(t), word.que = seq(1, length(t), by = 1))

ac$word.count <- sapply(gregexpr(" ", ac$s), length) + 1

new.mat <- data.frame(word.que = rep.int(ac$word.que, ac$word.count), word = unlist(strsplit(as.character(ac$s), split = " ")))
words.of.interest <- c("struck|bird|crash|obstacle|miss|shot|struck|lightening|explode|engine|failure|fog|fire|disappear")
new.mats<- new.mat %>%
           mutate(word = gsub("\\,", "", gsub("\\.", "", word))) %>%
           mutate(word.interest = ifelse(grepl(words.of.interest, as.character(word)), 1, 0)) %>%
           filter(word.interest == 1) %>%
           group_by(word.que) %>% 
           summarise(word.list = paste0(unique(word), collapse = "; ")) %>%
           full_join(ac, by = "word.que" ) %>%
           arrange(word.que) %>%
           mutate(word.list = ifelse(is.na(word.list), 'other', word.list))
   word.que           word.list
1         1               other
2         2            exploded
3         3               other
4         4            crashing
5         5     engine; explode
6         6       crashed; shot
7         7            exploded
8         8             crashed
9         9      shot; crashing
10       10                shot
11       11             crashed
12       12 shot; fire; crashed
13       13       fire; crashed

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QUESTION

How to change an object in React-redux state using a Hook

Asked 2021-Feb-01 at 18:47

I haven't touched react in a while and it shows, not that I was very good to begin with. I'd like a Hook to change a value of an object in state. It would "toggle" an active: bool key-pair value in the object.

object inside initial state:

    hexInfo: {
        name: "Hex Squadron",
        active: true,
    // more stuff in object
    }

Hook:

    import React from 'react';
    import SquadronIcon from './SquadronIcon';
    import { useDispatch } from 'react-redux';


    let SquadronsMenu = () => {
        const dispatch = useDispatch();

        // HEX
        let seeHexInfo = () => dispatch({
            type: "INFO_HEX"
        });

    return(
            <>
            {/* Hex */}
            <SquadronIcon handleClick={ seeHexInfo } image={ importedImage } alt="" text="" />
        )
    }

    export default SquadronsMenu;

reducer so far:

    let reducer = (state, action) => {
        switch (action.type) {

            // INFO
            case "INFO_HEX": return { ...state, hexInfo: { active: !active }} 
        
            default: return state;
        }
    };
  1. when I just put a active: false it naturally overwrites the entire object
  2. As it is now (with !active) I get an error 'activ' is not defined no-undef

ANSWER

Answered 2021-Feb-01 at 18:47

There are two different ways that I can easily think to accomplish this.

Option 1: Utilize the spread operator. This option requires you to not only spread the reducer state but also everything within state.hexInfo.

const reducer = (state, action) => {
    switch (action.type) {

       // INFO
       case "INFO_HEX":
           return { 
               ...state,
               hexInfo: {
                   ...state.hexInfo, 
                   active: !state.hexInfo.active, 
               }
           } 
        
       default: return state;
   }
};

Option 2: If you are willing to use an additional library, check out immer (https://immerjs.github.io/immer/docs/example-reducer). It is great for simplifying reducers so that you do not have to use the spread operator directly. Here is a link to the most common update patterns with immer https://immerjs.github.io/immer/docs/update-patterns.

import produce from 'immer';

const initialState = {
    hexInfo: {
        name: "Hex Squadron",
        active: true,
    }
};

const reducer = (state = initialState, action) =>
    produce(state, (draft) => {
        switch (action.type) {
            case INFO_HEX:
                draft.hexInfo.active = !state.hexInfo.active;
                break;
            default:
        }
    });

export default reducer;

Source https://stackoverflow.com/questions/65997728

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

Vulnerabilities

No vulnerabilities reported

Install squadron

As getting started we've prepared a simple example how to use Squadron with MongoDB.
Install the Squadron nuget package for MongoDB within your test project:.

Support

This project has adopted the code of conduct defined by the Contributor Covenant to clarify expected behavior in our community. For more information, see the Swiss Life OSS Code of Conduct.

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