How to Internationalizing your Flutter apps ?
How to measure the maximum throughput (TPS - Transactions per Second) that a single website instance(host) can handle via curl tool ?
tps.py, a python script using curl to measure the time per transaction requested to your website
curl --connect-timeout 10 --max-time 10 -o /dev/null -s -w "%{http_code},%{size_download},%{time_appconnect},%{time_connect},%{time_namelookup},%{time_pretransfer},%{time_starttransfer},%{time_total}" -k
#!/usr/bin/python#-*- coding: UTF-8 -*-
import commands
import getopt
import os
import re
import sys
import thread
import threading
import time
def help(code):
print 'tps.py -A "useragent" -C "cookies" -H "header" -P "period" -T "tps" -U "url" -O "outputdir"'
print 'examples:'
print 'tps.py -U https://www.amazon.com -T 20 -P PT5M'
print 'tps.py -U https://www.amazon.com -T 20 -P PT1H'
sys.exit(code)
def check_args(a, c, h, p, t, u, o):
if u == '':
print 'no URL specified!'
help(2)
if t == '':
print 'no TPS specified!'
help(2)
if p == '':
print 'no PERIOD specified!'
help(2)
cmd = 'curl --connect-timeout 10 --max-time 10 -o /dev/null -s -w "%{http_code},%{size_download},%{time_appconnect},%{time_connect},%{time_namelookup},%{time_pretransfer},%{time_starttransfer},%{time_total}" -k'
if not a == '':
cmd = cmd + " -A \"" + a + "\""
if not c == '':
cmd = cmd + " -b \"" + c + "\""
if not h == '':
cmd = cmd + " -H \"" + h + "\""
cmd = cmd + " " + u
fp = os.getcwd() + '/tps.csv'
if not o == '':
fp = o + "/tps.csv"
tpspt(cmd, t, p, fp)
def tpspt(cmd, t, p, fp):
f = open(fp, 'w+')
if not f:
print "fail to create tps.csv under ", os.getcwd()
sys.exit(1)
m = re.match('^PT(\d+)[MH]$', p)
if not m:
print ' wrong PERIOD pattern!', p , 'not match "PT\d+[MH]"'
help(2)
m = int(m.group(1))
if p[-1] == 'H':
m = m * 60 * 60
else:
m = m * 60
t = float(t)
print "-tps", t, "-period", p, ",", int(m * t), "transactions will be executed!"
print cmd
start = time.time()
wq = []
ths = []
maxm = m
if t < 1:
maxm = int(m*t)
for x in range(0, maxm):
if t < 1:
thargs = [cmd, t, wq, int(x/t) + 1]
th = threading.Timer(int(x/t) + 1, tps, thargs)
else:
thargs = [cmd, t, wq, x + 1]
th = threading.Timer(x + 1, tps, thargs)
th.start()
ths.append(th)
for th in ths:
th.join()
end = time.time()
print "Finish ", int(m * t), "transactions in", int(end - start), "seconds!"
print "Writing results to tps.csv ......"
f.write("id,http_code,size_download,time_appconnect,time_connect,time_namelookup,time_pretransfer,time_starttransfer,time_total")
f.write('\n')
for line in wq:
f.write(line)
f.close()
print "Done! Please check results in", fp
def tps(cmd, t, wq, x):
print "execute", t, "transactions at the ", x, "seconds"
while t > 0:
starttime = time.strftime('%Y-%m-%d %H:%M:%S',time.localtime(time.time()))
status, output = commands.getstatusoutput(cmd)
# sample output
# http_code,size_download,time_appconnect,time_connect,time_namelookup,time_pretransfer,time_starttransfer,time_total
# 200,79059,0.011196,0.000273,0.000214,0.011224,1.091032,5.055447
cells = output.split(",")
if len(cells) < 8:
print "ERROR!!!", output
continue;
cell0 = cells[0]
if not cell0 == '200':
print "WARNING!!!", cell0, "is not wanted response code!!!"
cell1 = cells[1]
cells = map(lambda x: float(x) * 1000, cells[2:])
cells.insert(0, float(cell1)/1024)
cells.insert(0, int(cell0))
cells = map(lambda x: str(x), cells)
cells.insert(0, starttime)
wq.append(','.join(cells))
wq.append('\n')
t = t - 1;
def main(argv):
useragent = ''
cookie = ''
header = ''
period = ''
tps = ''
url = ''
outputdir = ''
try:
opts, args = getopt.getopt(argv,"hA:C:H:O:P:T:U:",["useragent=","cookie=", "header=", "outputdir=", "period=", "tps=", "url="])
except getopt.GetoptError:
help(1)
for opt, arg in opts:
if opt == '-h':
help(0)
elif opt in ("-A", "--useragent"):
useragent = arg
elif opt in ("-C", "--cookie"):
cookie = arg
elif opt in ("-H", "--header"):
header = arg
elif opt in ("-P", "--period"):
period = arg
elif opt in ("-T", "--tps"):
tps = arg
elif opt in ("-U", "--url"):
url = arg
elif opt in ("-O", "--outputdir"):
outputdir = arg
check_args(useragent, cookie, header, period, tps, url, outputdir)
if __name__ == "__main__":
main(sys.argv[1:])
example usage:
./tps.py -T 10 -P "PT3M" -U https://errong.win -tps 10.0 -period PT3M , 1800 transactions will be executed! curl --connect-timeout 10 --max-time 10 -o /dev/null -s -w "%{http_code},%{size_download},%{time_appconnect},%{time_connect},%{time_namelookup},%{time_pretransfer},%{time_starttransfer},%{time_total}" -k https://errong.win ....... Finish 1800 transactions in 184 seconds! Writing results to tps.csv ...... Done! Please check results in tps.csv
TPS Graph
As you can found, errong.win average responding time is about 420ms, not too bad.curl -w manual
Make curl display information on stdout after a completed transfer. The format is a string that may contain plain text mixed with any number of variables. The format can be specified as a literal "string", or you can have curl read the format from a file with "@filename" and to tell curl to read the format from stdin you write "@-".The variables present in the output format will be substituted by the value or text that curl thinks fit, as described below. All variables are specified as %{variable_name} and to output a normal % you just write them as %%. You can output a newline by using \n, a carriage return with \r and a tab space with \t.
NOTE: The %-symbol is a special symbol in the win32-environment, where all occurrences of % must be doubled when using this option.
The variables available are:
- content_type
The Content-Type of the requested document, if there was any. - filename_effective
The ultimate filename that curl writes out to. This is only meaningful if curl is told to write to a file with the -O, --remote-name or -o, --output option. It's most useful in combination with the -J, --remote-header-name option. - ftp_entry_path
The initial path curl ended up in when logging on to the remote FTP server. - http_code
The numerical response code that was found in the last retrieved HTTP(S) or FTP(s) transfer. - http_connect
The numerical code that was found in the last response (from a proxy) to a curl CONNECT request. (Added in 7.12.4) - http_version
The http version that was effectively used. - local_ip
The IP address of the local end of the most recently done connection - can be either IPv4 or IPv6 (Added in 7.29.0) - local_port
The local port number of the most recently done connection (Added in 7.29.0) - num_connects
Number of new connects made in the recent transfer. (Added in 7.12.3) - num_redirects
Number of redirects that were followed in the request. (Added in 7.12.3) - proxy_ssl_verify_result
The result of the HTTPS proxy's SSL peer certificate verification that was requested. 0 means the verification was successful. (Added in 7.52.0) - redirect_url
When an HTTP request was made without -L to follow redirects, this variable will show the actual URL a redirect would take you to. (Added in 7.18.2) - remote_ip
The remote IP address of the most recently done connection - can be either IPv4 or IPv6 (Added in 7.29.0) - remote_port
The remote port number of the most recently done connection (Added in 7.29.0) - scheme
The URL scheme (sometimes called protocol) that was effectively used (Added in 7.52.0) - size_download
The total amount of bytes that were downloaded. - size_header
The total amount of bytes of the downloaded headers. - size_request
The total amount of bytes that were sent in the HTTP request. - size_upload
The total amount of bytes that were uploaded. - speed_download
The average download speed that curl measured for the complete download. Bytes per second. - speed_upload
The average upload speed that curl measured for the complete upload. Bytes per second. - ssl_verify_result
The result of the SSL peer certificate verification that was requested. 0 means the verification was successful. (Added in 7.19.0) - time_appconnect
The time, in seconds, it took from the start until the SSL/SSH/etc connect/handshake to the remote host was completed. (Added in 7.19.0) - time_connect
The time, in seconds, it took from the start until the TCP connect to the remote host (or proxy) was completed. - time_namelookup
The time, in seconds, it took from the start until the name resolving was completed. - time_pretransfer
The time, in seconds, it took from the start until the file transfer was just about to begin. This includes all pre-transfer commands and negotiations that are specific to the particular protocol(s) involved. - time_redirect
The time, in seconds, it took for all redirection steps including name lookup, connect, pretransfer and transfer before the final transaction was started. time_redirect shows the complete execution time for multiple redirections. (Added in 7.12.3) - time_starttransfer
The time, in seconds, it took from the start until the first byte was just about to be transferred. This includes time_pretransfer and also the time the server needed to calculate the result. - time_total
The total time, in seconds, that the full operation lasted. - url_effective
The URL that was fetched last. This is most meaningful if you've told curl to follow location
Python : How to run a function "foo" per second and last a few minutes or hours
Scenario
I tried to run a function "foo" every second. I have to do this for a few minutes (say 5).
The function foo () sends 100 HTTP requests (including JSON objects) to the server and prints the JSON response.
In short, I have to issue 100 HTTP requests per second for 5 minutes.
Using threading.Timer
#!/usr/bin/python import time import thread import threading def foo(): print time.strftime('%Y-%m-%d %H:%M:%S',time.localtime(time.time())), threading.active_count() #5 minutes = 5 * 60 = 300 seconds for x in range(0, 300): t = threading.Timer(x + 1, foo) t.start()
Expected output
function foo was executed per second and last about 5 minutes
2020-05-14 00:54:49 301 2020-05-14 00:54:50 300 2020-05-14 00:54:51 299 2020-05-14 00:54:52 298 2020-05-14 00:54:53 297 2020-05-14 00:54:54 296 2020-05-14 00:54:55 295 ....... 2020-05-14 00:59:44 6 2020-05-14 00:59:45 5 2020-05-14 00:59:46 4 2020-05-14 00:59:47 3 2020-05-14 00:59:48 2
How to kill a bunch of processes which executed with almost same command ?
Scenario
Sometimes we need to manually terminate the process. If not killing too many processes, it is easy to find the pid and kill it. But what if there are a bunch of processes that need to be terminated? Today I encountered such a problem, started a lot of python process, but the result can not stop.
gkill Solution
add below function to your bash profile, then source the profile
function gkill() { ps -ef | grep ${1} | grep -v grep | awk '{print $2}' | xargs --no-run-if-empty kill -9 }
Then you can kill all processes that matched your serach pattern via gkill
command.
gkill <search content>
Extended knowledge
The commands related to the termination process are:
- ps: report a snapshot of the current process
- kill: send a signal to a process
- killall: kill process by name
- pkill: View or issue process signals based on name and other attributes
- skill: send a signal or report the process status
- xkill: destroy a client program according to X resources
- xargs --no-run-if-empty, very useful if args from pipe are empty
pgrep
pgrep is a tool to query the process by the name of the program, generally used to determine whether the program is running. This tool is often used in server configuration and management. Usage: pgrep parameter option program name.
grep
grep (global search regular expression (RE) and print out the line, comprehensive search regular expression and print out the line) is a powerful text search tool, it can use regular expressions to search for text, and print the matching line come out. Unix's grep family includes grep, egrep, and fgrep.
In simple terms, pgrep is to query the running status of the program, and grep is to search for content.
Recommend GC log analyzer tool : GCPlot & GCeasy
GCPlot
Install
Docker Installation
You can run GCPlot in a Docker container.
In order to run GCPlot as-is without additional configuration, run next command:
docker run -d -p 8080:80 gcplot/gcplot
After that eventually the platform will be accessible from your host machine at http://127.0.0.1:8080 address.
Upload GC log
JVM arguments
-verbose:gc -XX:+PrintGCDetails -XX:+PrintGCTimeStamps -XX:+PrintGCDateStamps -XX:+PrintTenuringDistribution -XX:+PrintGCCause -XX:+PrintHeapAtGC -XX:+PrintAdaptiveSizePolicy -XX:+UnlockDiagnosticVMOptions -XX:+G1SummarizeRSetStats -XX:G1SummarizeRSetStatsPeriod=1 -Xloggc:/var/output/logs/garbagecollector.log -XX:+UseG1GC
Analysis Groups
Universal GC Log Analyzer
https://gceasy.io/
It is more powerful than GCPlot, but you have to upload you GC logs to their backend and pay to see the analysis report.
GCPlot is free and open source
English Language : 20 ways to give advice
MODALS
- You have to ...
- You'd better ...
- You should ...
- You ought to ...
- You could ...
CONDITIONALS
- If I were you, I'd ...
- If I were in your shoes, I'd ...
- If you want my advise, I think ...
- If you really want to know, I'd ...
- If I were in your position, I'd ...
FORMAL VERBS
- I suggest (that) you ...
- I recommend (that) you ...
- I urge you ...
- I would advise you to ...
CASUAL
- You're gonna wanna ...
- You might wanna consider
- You should probably consider
- You should maybe think about ...
- Have you thought about ... ?
- What you yought do is ... ?
English Language : Adverbs of Intensity
OMG SO INTENSE
- completely
- totally
- thoroughly
- absolutely
- perfectly
- extremely
- Utterly
Kind of intense
- fairly
- rather
- somewhat
- moderately
- considerably
- nearly
- kind of
- sort of
- noticeable
pretty intense
- awfully
- pretty
- really
- so
- very
- mostly
- quite
ehh...
- a little
- a bit
- slightly
Common combinations
- perfectly
- sort of bland
- a little hungry
- absolutely certain
- pretty sure
- quite good
- nearly exausted
- mostly finished
- noticeably different
English Language : Passive Prepositional Verbs
be aimed at
- The advertisement was aimed at males between the ages of 18 to 34
be associcated with
- Drinking milk is often associated with strong bones
be based on
- The study was based on 10 years of close observation
be regarded/seen as
- Albert Einstein is regarded as the premier theoretical physicist of the 20th century
be defined as
- Darkness is defined as the absence of light
be derived from
- Some medicines are derived from herbs
be divided into
- Canada is divided into provinces and territories
be involved in
J. Robert Oppenheimer was the primary figure involved in the creation of the atomic bomb.
be known as
- The Wright Brothers are popular known as the pioneers of humann flight
be prejudiced against
- Human are often prejudiced againt people they do not understand
be required for
- Regular sleep is required for good health
be used in
Flamethrowers were first used in WW I
English Language : Money
Level of wealth
- poor
- broke, living check to check
- rich
- loaded, well-off
Spending habits
- cheap
- frugal
- a penny pincher
Going out
- Wanna split the bill ?
- pay for someone
- I will cover you
- I will get it
- I got it
- It's on me
- My treat
Using the ATM
- I need to make a withdrawal
- I need to withdraw some money
- I need to make a deposit
- I need to deposite some money
Currency vocabulary
- bucks = dollars ( 10 bucks )
- a grand = a thousand dollars (2 grand)
- $0.25 = a quarta
- $0.10 = a dime
- $0.05 = a nickel
- $0.01 = a penny
- CAD$1.00 = a loonie
- CAD$$2.00 = a toonie
English Language : Learn 26 adjectives to describe the taste and texture of food
FLAVORS
- Sweet ( sugar )
- Sour ( lemon )
- Bitter ( medicine )
- Bland ( potatoes )
- Plain
- Spicy ( jalapenos )
- Salty ( chips )
- Savory ( creamy | soups )
TASTES AND TEXTURE
- Crunchy
- Crispy ( fried food )
- Mealy ( soft and sandy )
- Mushy
- Soggy ( wet )
- Juicy
- Fatty
- Oily
- Greasy
- Character
- Rich
- Decadent
- Heavy, Ripe
English Language : 35 words that we shorten in conversation
- abdominal muscles - abs
- administration - admin
- application - app (software)
- fabulous - fab
- favourite - fave
- delicious - delish
- identification - ID
- information - info
- radical - rad (cool)
- comfortable - comfy
- advertisement - ad
- laboratory - lab
- limousine - limo
- maximum - max
- medication - meds
- overdose -OD
- referee - ref
- underware - undies
- representative - rep
- represent
English Language : EFFECT and CAUSE VERBS
EFFECT VERBERS
-
Cause
The 2008 financial crisis caused several problems for multinational banks -
Produce
The medication did not produce the desired effect -
Lead to
Several international incidents led to WWII -
Result in
The earchquake resulted in thousands of deaths -
Create
The increasing rate of crime is creating numerous issues -
Bring about
The new regime brought about stricter laws -
Give rise to
The election result gave rise to public protests -
be responsible for
No one knows who was responsible for the vandalism
CAUSE VERBS
-
be caused by
The governmental collapse was caused by the implementation of unpopular policies -
be produced by
The vast majority of air pollution in Europe is produced by fertilisers and animal waste. -
be brought about by
Major economic benefits could be brought about by the adoption of solar roofs -
result from
Many benefits quickly result from exercise -
stem from
Most of our early beliefs stem from our parents -
be triggered by
World War I was triggered by the assassination of Arch Duke Ferdinand
How to obtain/get copied image from clipboard data in browser
JS code works well for Chrome, Firefox and Safari
const source = document.querySelector('.source'); source.addEventListener('paste', (event) => { if (event.clipboardData && event.clipboardData.items && event.clipboardData.items.length == 1) { const item = event.clipboardData.items[0]; if (item.kind == 'file' && item.type == 'image/png') { let blob = item.getAsFile(); let f = new FileReader(); f.onload = (e) => { console.log(e.target.result); } f.readAsDataURL(blob); } } event.preventDefault(); });
Image source to data base64 url from clipboard data
fixed: embedded-redis: Unable to run on macOS Sonoma
Issue you might see below error while trying to run embedded-redis for your testing on your macOS after you upgrade to Sonoma. java.la...
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F:\webrowser>react-native run-android Scanning folders for symlinks in F:\webrowser\node_modules (73ms) Starting JS server... Buildin...
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Refer: https://github.com/bazelbuild/bazel/wiki/Building-with-a-custom-toolchain https://www.tensorflow.org/tutorials/image_recognition
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Solution react-native bundle --platform android --dev false --entry-file index.js --bundle-output android/app/src/main/assets/index.android...