mux | powerful HTTP router and URL matcher | Router library
kandi X-RAY | mux Summary
kandi X-RAY | mux Summary
Package gorilla/mux implements a request router and dispatcher for matching incoming requests to their respective handler.
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Trending Discussions on mux
QUESTION
I'm struggling to understand how to use WebIO
. From the documentation, this would be an example to send values to javascript:
ANSWER
Answered 2022-Mar-30 at 09:44I guess there is an error in the documentation. The problem is that there are no listeners on the observable. I.e., julia> obs
returns Observable{String} with 0 listeners.
You can add a listener by WebIO.ensure_sync(s, "logme")
, or you can write it like this:
QUESTION
I'm working on a websocket and recently started doing some tests for race conditions using race
.
go run -race serve.go
Getting this result:
...ANSWER
Answered 2022-Mar-11 at 20:47Because the upgrader is not dependent on the request, you can create the upgrader at package-level
QUESTION
I am just getting started learning docker a few hours ago and I trying to make my own docker image. When I tried to make a Dockerfile and a docker image, I got this error message "/bin/sh: 1: source: not found".
First of all, I manage my environment variables in .env file. Whenever I change my env file, I run this command $source .env and go build . and then go run main.go. So, I tried to set up my Dockerfile, RUN source.env but I got the error that I mentioned above.
I tried
- RUN . setting.env & . setting but didn't work
- change the file name into setting.env and then RUN . ./setting.env & . ./setting & ["/bin/bash", "-c", "source ~/.setting.env"] also didn't work...
I really appreciate your help!
Edit 1]
...ANSWER
Answered 2022-Mar-01 at 06:47It seems like .env file is not contained in your image.
Try to execute source .env after copying .env file into the image.
QUESTION
I have a local python project called jive
that I would like to use in an another project. My current method of using jive
in other projects is to activate the conda env for the project, then move to my jive
directory and use python setup.py install
. This works fine, and when I use conda list
, I see everything installed in the env including jive
, with a note that jive
was installed using pip.
But what I really want is to do this with full conda. When I want to use jive
in another project, I want to just put jive
in that projects environment.yml
.
So I did the following:
- write a simple
meta.yaml
so I could use conda-build to buildjive
locally - build jive with
conda build .
- I looked at the tarball that was produced and it does indeed contain the
jive
source as expected - In my other project, add jive to the dependencies in
environment.yml
, and add 'local' to the list of channels. - create a conda env using that environment.yml.
When I activate the environment and use conda list
, it lists all the dependencies including jive
, as desired. But when I open python interpreter, I cannot import jive
, it says there is no such package. (If use python setup.py install
, I can import it.)
How can I fix the build/install so that this works?
Here is the meta.yaml, which lives in the jive
project top level directory:
ANSWER
Answered 2022-Feb-05 at 04:16The immediate error is that the build is generating a Python 3.10 version, but when testing Conda doesn't recognize any constraint on the Python version, and creates a Python 3.9 environment.
I think the main issue is that python >=3.5
is only a valid constraint when doing noarch
builds, which this is not. That is, once a package builds with a given Python version, the version must be constrained to exactly that version (up through minor). So, in this case, the package is built with Python 3.10, but it reports in its metadata that it is compatible with all versions of Python 3.5+, which simply isn't true because Conda Python packages install the modules into Python-version-specific site-packages
(e.g., lib/python-3.10/site-packages/jive
).
Typically, Python versions are controlled by either the --python
argument given to conda-build
or a matrix supplied by the conda_build_config.yaml
file (see documentation on "Build variants").
Try adjusting the meta.yaml
to something like
QUESTION
I'm having regularly issue with hvc1 videos getting an inconsistent number of frames between ffprobe info and FFmpeg info, and I would like to know what could be the reason for this issue and how if it's possible to solve it without re-encoding the video.
I wrote the following sample script with a test video I have
I split the video into 5-sec segments and I get ffprobe giving the expected video length but FFmpeg gave 3 frames less than expected on every segment but the first one.
The issue is exactly the same if I split by 10 seconds or any split, I always lose 3 frames.
I noted that the first segment is always 3 frames smaller (on ffprobe) than the other ones and it's the only consistent one.
Here is an example script I wrote to test this issue :
...ANSWER
Answered 2022-Jan-11 at 22:08The source of the differences is that FFprobe counts the discarded packets, and FFmpeg doesn't count the discarded packets as frames.
Your results are consistent with video stream that is created with 3 B-Frames (3 consecutive B-Frames for every P-Frame or I-Frame).
According to Wikipedia:
I‑frames are the least compressible but don't require other video frames to decode.
P‑frames can use data from previous frames to decompress and are more compressible than I‑frames.
B‑frames can use both previous and forward frames for data reference to get the highest amount of data compression.
When splitting a video with P-Frame and B-Frame into segments without re-encoding, the dependency chain breaks.
- There are (almost) always frames that depends upon frames from the previous segment or the next segment.
- The above frames are kept, but the matching packets are marked as "discarded" (marked with
AV_PKT_FLAG_DISCARD
flag).
For the purpose of working on the same dataset, we my build synthetic video (to be used as input).
Building synthetic video with the following command:
QUESTION
I followed this example for serving a NextJs front end single-page application using Golang and the native net/http
package:
ANSWER
Answered 2021-Dec-31 at 05:16Please, try
QUESTION
First, I want to mention that I am very new to WebRTC, so any advice would be very helpful.
Currently I am using aiortc
library to build my own WebRTC app.
Here is what I am trying to do.
I have 2 peers, one is web browser, which is written in javascript, and another one is python script, which is working as signaling server and peer at the same time. So If you access to my web page, you will send video frame to server and then the server will make modification of that then send it back.
So I finished testing my app on LAN environment and everything worked as I expected. But once I deployed my app to remote server (Google cloud run) , I encountered Ice connection state failing issue. And gets this log on remote server.
(I think it is due to disconnection between peers, not low memory problem. I tried with 16GB RAM and 4 cpus and still didn't work)
Then, I dig into more information, and found that TURN/STUN server is necessary to build WebRTC app over Internet. So I added google STUN server to my RTCPeerConnection
like this. [{'urls': 'stun:stun.l.google.com:19302'}, {'urls': 'stun:stun1.l.google.com:19302'}, {'urls': 'stun:stun2.l.google.com:19302'}]
(I added both side on javascript and python because both side is working as peer) Unfortunately, it still didn't work.
Now, I am planning to build my own TURN server, but I am afraid if TURN server wouldn't solve this problem. So I would like to have any advice from you since I am quite stuck within my situation.
p.s I have done SSL encryption.(So GetUserMedia
is working fine)
Sdp details(Offer/Answer):
SDP
Offer
...ANSWER
Answered 2021-Dec-10 at 15:13If everything work on local, and this ice server are set, verify that your gcloud server have the correct firewall for webrtc port (not only your signaling port, check the sdp/ice you exchange). also this Webrtc page allow you to check is a stun/turn work on your client
You will not need stun on your python side, as it's a server his ip may be public (unless you don't want to). Stun allow to find your public ip and allow the port to remain open.
On your server you need to open your signaling port (certainly the WS where you exchange the sdp) and the P2P port (candidate lines in the sdp), the media/data will go through this one. For each media (sdp m line) there are usually one used port.
QUESTION
I have a database that I've setup on mongo which is seeded with some data I need to query via a url parameter from an endpoint. In order to use the library, I had defined some handles and did the whole setup for the connection of the db in a separate setup()
function, but I can't use the handles I require outside of it.
ANSWER
Answered 2021-Dec-09 at 21:24One way to do it is like this, first add a server type
QUESTION
I am trying to record RTP stream with video and audio to HLS. Using GStreamer and nodejs. I get WARNING: erroneous pipeline: no element "fdkaacenc"
. I am using macOS with M1 CPU and all plugins base, good, bad, and ugly are installed.
The whole command I am trying to execute is this
...ANSWER
Answered 2021-Nov-23 at 16:44I fixed that by avenc_aac
instead of fdkaacenc
. Not to mention that you should use audioconvert
before avenc_aac.
The part of command I was trying to convert to aac:
rtpopusdepay ! opusdec ! audioconvert ! avenc_aac
.
More: avenc_aac
is part of gstreamer ffmpeg plugins which exists in linux, mac and windows. fdkaacenc
is part of gstreamer bad plugins that may not be the same in all systems. That's is why using avenc_aac
is more approperiate. So it can be executed in both mac and linux.
QUESTION
I have a static directory, containing a sign.html
file :
ANSWER
Answered 2021-Nov-22 at 17:11Option 1
Read the file to a slice of bytes. Write the bytes to the response.
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