i used celery in my django project .django are running with uWSGI and can work with postgresql well but it's seem that celery can't connect to postgresql :
Traceback (most recent call last):
File "/home/classgram/www/env/lib/python3.6/site-packages/django/db/backends/base/base.py", line 216, in ensure_connection
self.connect()
File "/home/classgram/www/env/lib/python3.6/site-packages/django/db/backends/base/base.py", line 194, in connect
self.connection = self.get_new_connection(conn_params)
File "/home/classgram/www/env/lib/python3.6/site-packages/django/db/backends/postgresql/base.py", line 178, in get_new_connection
connection = Database.connect(**conn_params)
File "/home/classgram/www/env/lib/python3.6/site-packages/psycopg2/__init__.py", line 130, in connect
conn = _connect(dsn, connection_factory=connection_factory, **kwasync)
psycopg2.OperationalError: FATAL: password authentication failed for user "hamclassy"
FATAL: password authentication failed for user "hamclassy"
i'm working on host and host OS is Ubuntu 18.04 . thank you
This problem has nothing to do with Celery - it is obviously a typical PostgreSQL Access control issue.
It seems like your PostgreSQL server allows hamclassy role (user) to connect from machine where Django runs, but does not allow access from your Celery workers. The right place to look for solution to your problem is the pg_hba.conf file on the PostgreSQL server.
On most Linux distributions locate pg_hba.conf should give you location of the file. Fedora has it here: /var/lib/pgsql/data/pg_hba.conf. Ubuntu on the other hand has it in /etc/postgresql. (Example: /etc/postgresql/9.6/main/pg_hba.conf)
Related
I tried to run a demo of TensorFlow.The MNIST dataset has been download,but there exists one error. Who can tell me what's wrong? Thanks very much! The error detail as follows:
Extracting MNIST_data/train-images-idx3-ubyte.gz
Extracting MNIST_data/train-labels-idx1-ubyte.gz
Traceback (most recent call last):
File "/home/linbinghui/文档/pycode/my_tensorflow_code/test_mnist.py", line 7, in <module>
mnist = input_data.read_data_sets("MNIST_data/", one_hot=False)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py", line 189, in read_data_sets
local_file = maybe_download(TEST_IMAGES, train_dir, SOURCE_URL + TEST_IMAGES)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/contrib/learn/python/learn/datasets/base.py", line 81, in maybe_download
urllib.request.urlretrieve(source_url, temp_file_name)
File "/usr/lib/python2.7/urllib.py", line 98, in urlretrieve
return opener.retrieve(url, filename, reporthook, data)
File "/usr/lib/python2.7/urllib.py", line 245, in retrieve
fp = self.open(url, data)
return getattr(self, name)(url)
File "/usr/lib/python2.7/urllib.py", line 350, in open_http
h.endheaders(data)
File "/usr/lib/python2.7/httplib.py", line 1053, in endheaders
self._send_output(message_body)
File "/usr/lib/python2.7/httplib.py", line 897, in _send_output
self.send(msg)
File "/usr/lib/python2.7/httplib.py", line 859, in send
self.connect()
File "/usr/lib/python2.7/httplib.py", line 836, in connect
self.timeout, self.source_address)
File "/usr/lib/python2.7/socket.py", line 575, in create_connection
raise err
IOError: [Errno socket error] [Errno 111] Connection refused
This code is attempting to download https://storage.googleapis.com/cvdf-datasets/mnist/t10k-images-idx3-ubyte.gz and failing. It failed because of "Connection Refused" which generally indicates that the remote end is not running a server on the port you tried to contact it on.
This URL refers a Google storage service. I was able to successfully download this file. Either you encountered a transient failure of Google's service, or some intermediary between you and Google caused this problem.
Normally "connection refused" is not caused by anything other than the intended remote end being unavailable (there's a computer there but no specific service). However, in the face of modern HTTP and HTTPS proxies, DNS redirection and the like, you could very well have encountered some feature of your business/school/home/government internet interdiction. HTTPS urls can be troubling to the entity hosting your internet service because it represents a private communication channel through which you could download malware or upload secrets. This troubling nature makes it more likely to be intercepted or redirected or disabled entirely.
I recommend that you troubleshoot this problem with wget/curl or similar on your machine. If those work well, consider a small python script with the requests package. Consider also the impact of environment variables on these utilities/libraries. Try repeating this procedure at network endpoints other than the one you're using.
If you find that the results of repeated tests are unstable even in the same network endpoint, perhaps you're facing local load balancers/proxies or some other transient local failure. When in doubt, contact your local network support team.
I have created a new project in Django and am following this tutorial to help me pull data from my remote database. Whenever I try to run migrate in manage.py I get the following error:
"C:\Program Files (x86)\JetBrains\PyCharm 2016.2.1\bin\runnerw.exe" C:\Users\ecjohnson\AppData\Local\Programs\Python\Python35-32\python.exe "C:\Program Files (x86)\JetBrains\PyCharm 2016.2.1\helpers\pycharm\django_manage.py" migrate U:/incoming_parts_monitor
Traceback (most recent call last):
File "C:\Users\ecjohnson\AppData\Local\Programs\Python\Python35-32\lib\site-packages\ibm_db_dbi.py", line 585, in connect
conn = ibm_db.connect(dsn, '', '', conn_options)
SQLCODE=-30081
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "C:\Users\ecjohnson\AppData\Local\Programs\Python\Python35-32\lib\site-packages\django\db\backends\base\base.py", line 199, in ensure_connection
self.connect()
File "C:\Users\ecjohnson\AppData\Local\Programs\Python\Python35-32\lib\site-packages\django\db\backends\base\base.py", line 171, in connect
self.connection = self.get_new_connection(conn_params)
I've connected to this database before in other .NET web applications so I'm not sure why this is not working.
The sqlcode=-30081 is a generic "unable to connect" condition. Look to the configuration and connection details, on both the requesting and server systems, and review for any messaging about a connection issue on the server side [of possible assist is a review of the Display Log (DSPLOG) for the history (QHST), and then review of the joblog(s) of the job(s) that originated that messaging] as an indication that the communications-level connection was at least completed, but some error after that initial comm connection prevented establishing an actual database connection; e.g. perhaps the prestart job or the subsystem in which the database server jobs operate is not started.
I am a newbie to Docker and this is what I am trying out.
I have a Windows machine on which I have installed Docker using Virtual Box as per this link. I have built a base Ubuntu Image. Now in the Windows Machine I have a Rest Service running that has to be accessed by the docker container. I am accessing it via Python Requests module. What IP should I give to the requests module's get method?
I have tried following
r = requests.get('http://172.17.42.1:8090/app/rest/names');
and
r = requests.get('http://172.17.0.2:8090/app/rest/names');
172.17.0.2 is the IP of Docker Container and 172.17.42.1 is the Bridge IP.
In both cases the error is Connection Refused
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/local/lib/python2.7/dist-packages/requests/api.py", line 55, in get
return request('get', url, **kwargs)
File "/usr/local/lib/python2.7/dist-packages/requests/api.py", line 44, in request
return session.request(method=method, url=url, **kwargs)
File "/usr/local/lib/python2.7/dist-packages/requests/sessions.py", line 383, in reques
t
resp = self.send(prep, **send_kwargs)
File "/usr/local/lib/python2.7/dist-packages/requests/sessions.py", line 486, in send
r = adapter.send(request, **kwargs)
File "/usr/local/lib/python2.7/dist-packages/requests/adapters.py", line 378, in send
raise ConnectionError(e)
requests.exceptions.ConnectionError: HTTPConnectionPool(host='172.17.0.2', port=8090): Ma
x retries exceeded with url: /app/rest/names(Caused by <class 'socket.error'>:
[Errno 111] Connection refused)
However I can access a public URL available.
The bridge IP address should work. If it doesn't, it might be because the application on the Windows machine is not listening on all IP addresses, or maybe there is some kind of firewalling.
You can check that the application is listening on the right port (and on all addresses!) with netstat -a -n -o (on the Windows machine), as explained here.
Maybe the Windows machine is only listening on 127.0.0.1 …?
I am trying to run bottle py but getting this error:
Traceback (most recent call last):
File "/home/pi/Desktop/gggg.py", line 176, in <module>
run(host='somehost', port=81)
File "/usr/lib/python2.7/dist-packages/bottle.py", line 2426, in run
server.run(app)
File "/usr/lib/python2.7/dist-packages/bottle.py", line 2123, in run
srv = make_server(self.host, self.port, handler, **self.options)
File "/usr/lib/python2.7/wsgiref/simple_server.py", line 144, in make_server
server = server_class((host, port), handler_class)
File "/usr/lib/python2.7/SocketServer.py", line 419, in __init__
self.server_bind()
File "/usr/lib/python2.7/wsgiref/simple_server.py", line 48, in server_bind
HTTPServer.server_bind(self)
File "/usr/lib/python2.7/BaseHTTPServer.py", line 108, in server_bind
SocketServer.TCPServer.server_bind(self)
File "/usr/lib/python2.7/SocketServer.py", line 430, in server_bind
self.socket.bind(self.server_address)
File "/usr/lib/python2.7/socket.py", line 224, in meth
return getattr(self._sock,name)(*args)
error: [Errno 13] Permission denied
>>>
I am logged in as "pi". Logging in as root user solves the issue. My question is what permissions does the bottle py and python need to run (which folders and what permissions)?
Edit:
Not sure if it matters but my python files are in Desktop dir. I also set the permissions of the folder/sub-folder to read write for all.
1) If you're planning on running this in production, you shouldn't be using Bottle's built in web server. You should use Apache, nginx, etc. From the Bottle docs:
The built-in default server is based on wsgiref WSGIServer. This
non-threading HTTP server is perfectly fine for development and early
production, but may become a performance bottleneck when server load
increases. There are three ways to eliminate this bottleneck:
Use a different server that is either multi-threaded or asynchronous.
Start multiple server processes and spread the load with a load-balancer.
Do both.
2) [As you know,] You have to be root to bind to port 80; no way around that. Have you considered using sudo?
sudo /home/pi/Desktop/gggg.py
You could configure sudoers to securely allow user "pi" to execute only gggg.py (or whatever webserver you'll end up using for production).
Thanks to #Wooble I realised that permission error had to do with the port and not the file system.
A working workaround is to use port above 1024 which works perfectly and is fine for development. Using port 200 for now:
run(host='someIP', port=2000)
I am still looking for a port 80 permission error solution though.
I am doing a simple server/client connection using multiprocessing in python 2.7.
When I run the client code in a seperate python shell, the connection is successful, but when I run the application as a whole, I get "socket.error: [Errno 111] Connection refused".
This is the Traceback:
Traceback (most recent call last):
File "./kaboom", line 276, in <module>
sequence.run(testEnv)
File "/e/m/amoreau/test_edit/kaboom/src/kbmSequence.py", line 271, in run
if testEnv.open() != SUCCESS:
File "/e/m/amoreau/test_edit/kaboom/src/kbmTestEnv.py", line 518, in open
queueManager = resultsClient.QueueServerClient()
File "/e/m/amoreau/test_edit/kaboom/resultsClient.py", line 15, in QueueServerClient
manager.connect()
File "/usr/lib64/python2.6/multiprocessing/managers.py", line 474, in connect
conn = Client(self._address, authkey=self._authkey)
File "/usr/lib64/python2.6/multiprocessing/connection.py", line 143, in Client
c = SocketClient(address)
File "/usr/lib64/python2.6/multiprocessing/connection.py", line 263, in SocketClient
s.connect(address)
File "<string>", line 1, in connect
socket.error: [Errno 111] Connection refused
Why does this happen? I have disabled all firewalls.
Howdie, I just had this problem. I know this is an old answer, but I found the answer in a related question. It's listed below. The issue is that the client is attempting to connect to the server before the server has created the socket.
Well, that's what it was in my case. Spawning the server off into another process takes a wee bit longer then the client attempting to connect. To test, I placed a sleep call in my client and sure enough, no more error.
Python Socket Error - Connection Refused