I want to make my application by Python 3.7 run just in only one instance.
I have tried the code bellow codes but I didnt succed.
import psutil
import time
procs = [p for p in psutil.process_iter() if 'python.exe' in p.name() and __file__ in p.cmdline()]
if len(procs) > 1:
print('Process is already running...')
sys.exit(1)
for i in range(10):
print('Running...')
time.sleep(2)```
Related
Is there a way to start mitmproxy v.7.0.2 programmatically in the background?
ProxyConfig and ProxyServer have been removed since version 7.0.0, and the code below isn't working.
from mitmproxy.options import Options
from mitmproxy.proxy.config import ProxyConfig
from mitmproxy.proxy.server import ProxyServer
from mitmproxy.tools.dump import DumpMaster
import threading
import asyncio
import time
class Addon(object):
def __init__(self):
self.num = 1
def request(self, flow):
flow.request.headers["count"] = str(self.num)
def response(self, flow):
self.num = self.num + 1
flow.response.headers["count"] = str(self.num)
print(self.num)
# see source mitmproxy/master.py for details
def loop_in_thread(loop, m):
asyncio.set_event_loop(loop) # This is the key.
m.run_loop(loop.run_forever)
if __name__ == "__main__":
options = Options(listen_host='0.0.0.0', listen_port=8080, http2=True)
m = DumpMaster(options, with_termlog=False, with_dumper=False)
config = ProxyConfig(options)
m.server = ProxyServer(config)
m.addons.add(Addon())
# run mitmproxy in backgroud, especially integrated with other server
loop = asyncio.get_event_loop()
t = threading.Thread( target=loop_in_thread, args=(loop,m) )
t.start()
# Other servers, such as a web server, might be started then.
time.sleep(20)
print('going to shutdown mitmproxy')
m.shutdown()
from BigSully's gist
You can put your Addon class into your_script.py and then run mitmdump -s your_script.py. mitmdump comes without the console interface and can run in the background.
We (mitmproxy devs) officially don't support manual instantiation from Python anymore because that creates a massive amount of support burden for us. If you have some Python experience you can probably find your way around.
What if my addon has additional dependencies?
Approach 1: pip install mitmproxy is still perfectly supported and gets you the same functionality as the standalone binaries. Bonus tip: You can run venv/bin/mitmproxy or venv/Scripts/mitmproxy.exe to invoke mitmproxy in your virtualenv without having your virtualenv activated.
Approach 2: You can install mitmproxy with pipx and then run pipx inject mitmproxy <your dependency name>. See https://docs.mitmproxy.org/stable/overview-installation/#installation-from-the-python-package-index-pypi for details.
How can I debug mitmproxy itself?
If you are debugging from the command line (be it print statements or pdb), the easiest approach is to run mitmdump instead of mitmproxy, which provides the same functionality minus the console interface. Alternatively, you can use PyCharm's remote debug functionality, which also works while the console interface is active (https://github.com/mitmproxy/mitmproxy/blob/main/examples/contrib/remote-debug.py).
This example below should work fine with mitmproxy v7
from mitmproxy.tools import main
from mitmproxy.tools.dump import DumpMaster
options = main.options.Options(listen_host='0.0.0.0', listen_port=8080)
m = DumpMaster(options=options)
# the rest is same in the previous versions
from mitmproxy.addons.proxyserver import Proxyserver
from mitmproxy.options import Options
from mitmproxy.tools.dump import DumpMaster
options = Options(listen_host='127.0.0.1', listen_port=8080, http2=True)
m = DumpMaster(options, with_termlog=True, with_dumper=False)
m.server = Proxyserver()
m.addons.add(
// addons here
)
m.run()
Hi, I think that should do it
I am using following piece of code in python:
from appium import webdriver
from os import path
CUR_DIR = path.dirname(path.abspath(__file__))
APP = path.join(CUR_DIR, 'TheApp.app.zip')
APPIUM = 'http://localhost:4723'
CAPS = {
'platformName': 'iOS',
'platformVersion': '14.0',
'deviceName': 'iPhone 12 mini',
'automationName': 'XCUITest',
'app': APP,
}
driver = webdriver.Remote(APPIUM, CAPS)
driver.quit()
I was able to start a session directly from the Appium desktop app using this same desired capabilities, but when I try to run this script to start the session from there, I get this error:
from appium import webdriver
ImportError: No module named appium
Advice please, it's my first time dealing with these technologies. Thank you!
The problem I had was I was trying to run the file using python session_ios.py; I solved it when I changed to python3 session_ios.py because it is the version of Appium that I have installed.
What I am trying to achieve.
Run a python script saved On pythonanywhere host from google sheets on a button press.
Check the answer by Dustin Michels
Task of Each File?
app.py: contains code of REST API made using Flask.
runMe.py: contains code for that get values from(google sheet cell A1:A2). And sum both values send sum back to A3.
main.py: contains code for a GET request with an argument as name(runMe.py).filename may change if the user wants to run another file.
I Made an API by using Flask.it works online and offline perfectly but still, if you want to recommend anything related to the app.py.Code Review App.py
from flask import Flask, jsonify
from flask_restful import Api, Resource
import os
app = Flask(__name__)
api = Api(app)
class callApi(Resource):
def get(self, file_name):
my_dir = os.path.dirname(__file__)
file_path = os.path.join(my_dir, file_name)
file = open(file_path)
getvalues = {}
exec(file.read(), getvalues)
return jsonify({'data': getvalues['total']})
api.add_resource(callApi, "/callApi/<string:file_name>")
if __name__ == '__main__':
app.run()
Here is the Code of runMe2.py
import gspread
from oauth2client.service_account import ServiceAccountCredentials
# use creds to create a client to interact with the Google Drive API
scopes =['https://www.googleapis.com/auth/spreadsheets',"https://www.googleapis.com/auth/drive.file","https://www.googleapis.com/auth/drive"]
creds = ServiceAccountCredentials.from_json_keyfile_name('service_account.json', scopes)
client = gspread.authorize(creds)
# Find a workbook by name and open the first sheet
# Make sure you use the right name here.
sheet = client.open("Demosheet").sheet1
# Extract and print all of the values
list_of_hashes = sheet.get_all_records()
print(list_of_hashes)
below is the main.py code
import requests
BASE = 'https://username.pythonanywhere.com/callApi/test.py'
response = requests.get(BASE)
print(response.json())
main.py output
{'data': 54}
Test.py code
a = 20
b = 34
total = a+b
print(total)
PROBLEM IS
if I request runMe2.py at that time I am got this error.
check runMe2.py code above
app.py is hosted on https://www.pythonanywhere.com/
ModuleNotFoundError: No module named 'gspread'
However, I installed gspread on pythonanywhere why using the command. but it's not working.
You either haven't installed the gspread package on your current python environment or it is installed somewhere (e.g. in a diff. virtual env) and your script cant find it.
Try installing the package inside the environment your running your script in using pip3:
pip3 install gspread
You can try something like this on Windows
pip install gspread
or on Mac
pip3 install gspread
If you're running on Docker, or building with a requirements.txt you can try adding this line you your requirements.txt file
gspread==3.7.0
Any other instructions for this package can be found here => https://github.com/burnash/gspread
Download gspread here
Download the tar file: gspread-3.7.0.tar.gz from the above link
Extract file and convert folder in zip then upload it back on server
Open bash console and use command as
$ unzip gspread-3.7.0
$ cd gspread-3.7.0
$ python3.7 setup.py install --user
OS : Ubuntu 14.04LTS
Language : Python Anaconda 2.7 (keras, theano)
GPU : GTX980Ti
CUDA : CUDA 7.5
I wanna run keras python code on IPython Notebook by using my GPU(GTX980Ti)
But I can't find it.
I want to test below code. When I run it on to Ubuntu terminal,
I command as below (It uses GPU well. It doesn't have any problem)
First I set the path like below
export PATH=/usr/local/cuda/bin:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH
Second I run the code as below
THEANO_FLAGS='floatX=float32,device=gpu0,nvcc.fastmath=True' python myscript.py
And it runs well.
But when i run the code on pycharm(python IDE) or
When I run it on Ipython Notebook, It doesn't use gpu.
It only uses CPU
myscript.py code is as below.
from theano import function, config, shared, sandbox
import theano.tensor as T
import numpy
import time
vlen = 10 * 30 * 768 # 10 x #cores x # threads per core
iters = 1000
rng = numpy.random.RandomState(22)
x = shared(numpy.asarray(rng.rand(vlen), config.floatX))
f = function([], T.exp(x))
print(f.maker.fgraph.toposort())
t0 = time.time()
for i in xrange(iters):
r = f()
t1 = time.time()
print("Looping %d times took %f seconds" % (iters, t1 - t0))
print("Result is %s" % (r,))
if numpy.any([isinstance(x.op, T.Elemwise) for x in f.maker.fgraph.toposort()]):
print('Used the cpu')
else:
print('Used the gpu')
To solve it, I force the code use gpu as below
(Insert two lines more on myscript.py)
import theano.sandbox.cuda
theano.sandbox.cuda.use("gpu0")
Then It generate the error like below
ERROR (theano.sandbox.cuda): nvcc compiler not found on $PATH. Check your nvcc installation and try again.
how to do it??? I spent two days..
And I surely did the way of using '.theanorc' file at home directory.
I'm using theano on an ipython notebook making use of my system's GPU. This configuration seems to work fine on my system.(Macbook Pro with GTX 750M)
My ~/.theanorc file :
[global]
cnmem = True
floatX = float32
device = gpu0
Various environment variables (I use a virtual environment(macvnev):
echo $LD_LIBRARY_PATH
/opt/local/lib:
echo $PATH
/Developer/NVIDIA/CUDA-7.5/bin:/opt/local/bin:/opt/local/sbin:/Developer/NVIDIA/CUDA-7.0/bin:/Users/Ramana/projects/macvnev/bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin
echo $DYLD_LIBRARY_PATH
/Developer/NVIDIA/CUDA-7.5/lib:/Developer/NVIDIA/CUDA-7.0/lib:
How I run ipython notebook (For me, the device is gpu0) :
$THEANO_FLAGS=mode=FAST_RUN,device=gpu0,floatX=float32 ipython notebook
Output of $nvcc -V :
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2015 NVIDIA Corporation
Built on Thu_Sep_24_00:26:39_CDT_2015
Cuda compilation tools, release 7.5, V7.5.19
From your post, probably you've set the $PATH variable wrong.
from django.http import HttpResponse
import urllib2
import simplejson
import memcache
def epghome(request):
mc=memcache.Client(['localhost:11211'])
if mc.get("jsondata"):
myval=mc.get("jsondata")
return HttpResponse("<h1>This Data is coming from Cache :</h1><br> " + str(myval))
else:
responseFromIDubba = ""
responseFromIDubba = urllib2.urlopen("http://www.idubba.com/apps/guide.aspx?key=4e2b0ca2328e03acce0014101d302ac7&type=1&f1=1&f2=0&channel=&gener=&page=0&summary=1").read()
parseResponseString = simplejson.loads(responseFromIDubba)
print(parseResponseString)
body=""
for data in parseResponseString["data"]:
#for keys in data:
#body=body+str(data .items())+".."+str(data[str(keys)])+"<br>"
body=body+str(data.items())+"<br><br>"
#body=body+"<br><br>"
mc.set("epgdata3",body)
mc.set("jsondata",responseFromIDubba)
returndata=str(mc.get("jsondata"))
return HttpResponse("<h1>No Cache Set</h1>" + responseFromIDubba)
Hi, This code is working if I run it in the terminal Python, without any error.
But in ECLIPSE IDE it always gives Import Error.
Even if I downloaded and install those modules. Also, and I restarted both Eclipse and my system, but it won't help.
Can you please suggest me a site where I get all libraries at once ?