I've only recently started to work with KaaIoT and I am wondering if there is another way to store a log bucked to the server.
/* some headers */
static void main_callback(void *context)
{
kaa_user_log_record_t *log_record = kaa_logging_time_collection_create();
log_record->test_time = kaa_string_copy_create("some_time");
kaa_logging_add_record(kaa_client_get_context(context)->log_collector, log_record, NULL);
}
/* some other configuration */
error = kaa_client_start(kaa_client, main_callback, kaa_client, 5);
When I execute this code, the string "some_time" will be stored to the server every 5 seconds.
I was wondering if there was an other way to do this, like upload the log to the server when I press my 'enter' key? But I can't seem to find a command for this.
To my understanding kaa_logging_add_record, just add the record to the storing bucket waiting to be sent according to the logging strategy you have defined. (https://kaaproject.github.io/kaa/autogen-docs/client-c/v0.10.0/kaa__logging_8h.html#af0fadc09a50f5e38603271a08c581417) . The parameter 5 sec in kaa_client_start is only a delay to cycle the call back function. If you want to register an event, first you have to store it in the log bucket and the timestamp if you want to record at what time happened. If you want to notify at the moment, the I think you should use Notifications or Events. I am also scratching my head in something similar and I wonder if there is a better way.
Can any one help me out on this problem. I am struggling to transfer the sqlite to watch os 2. If you have any example share with me or please give your suggestion on this
Have not tried this for sqlLite files but works with audioFiles.
What I did is:
Turn ON App Group both on watch extension and main project.
Place file in App Group Container
// I create the file there so my code is
NSURL * urlOut = [[NSFileManager defaultManager] containerURLForSecurityApplicationGroupIdentifier: APP_CONECTIVITY_ID];
urlOut = [urlOut URLByAppendingPathComponent:#"myfile.wav"];
Send via WCSession sendMessage the link, need to send as string so you will send urlOut.absoluteString.
Profit?
You should be able to use stuff like sendMessageData //reading the file as date beforhand.
and there is also this WCSessionFileTransfer.
But I haven't had a chance to try that yet.
I'm having a hard time thinking about a solution for this problem,
I'm using asterisk to develop a phone ivr smart application which needs some time to read number to the caller, the way asterisk work is using the file say.conf for building the audio files to play for the number to input.
For example, if I write saynumber(123) it will go into say.conf file and find the matching regex and then build list of files to play (for the example it will play /digits/hundred then digits/and then digits/twenty then digits/three,
Now to the problem:
The command SayNumber is not listening to the user input while playing the files which means that the user cant interrupt the system by typing some number on his phone and it's not convenient for the user.
The command Read(var,filestoplayseperatedby&) is capable of listening to the user dtmf input while playing list of files.
What I'm trying to achieve is getting the list of the files based on the say.conf file to a variable, then after I got the file I will use the Read command and the it will say the number while listening to the user input. I also don't want to use tts engines since its a multilingual application that not all of them are tts available (Hebrew etc.) Also tts won't solve the main issue listening to the user input while playing.
Sorry for my English, since I'm not a native English speaker.
Here is a part from the asterisk say.conf file:
_[n]um:X000000000 => num:${SAY:0:1}, digits/billion
_[n]um:XXXXXXXXXX => num:${SAY:0:1}, digits/billion, num:${SAY:1}
_[n]um:XX000000000 => num:${SAY:0:2}, digits/billion
_[n]um:XXXXXXXXXXX => num:${SAY:0:2}, digits/billion, num:${SAY:2}
_[n]um:XXX000000000 => num:${SAY:0:3}, digits/billion
_[n]um:XXXXXXXXXXXX => num:${SAY:0:3}, digits/billion, num:${SAY:3}
Any help will be appreciated.
You have 2 options
1) change saydigits to read digits(c/c++ programming)
2) give correct string to READ app(using fastagi/agi or other method)
I just have simple filter graph whick takes media streams from rtsp source[ generally h264 and mp4 ] and save them using an mp4 muxer to a file...
RtspSourceFilter ---> MP4 Muxer ---> File Writer.
It works OK. But i have constraint[ new requirment now]. I have to write file based on two criteria: their size and duration...Suppose that user can define rules such as:
if duration > 1 hour or size > 1 gb then write stream to new file
In my graph in order to this,
I have to stop my graph based on conditions and create and start new
one with new file name...
That is bad since at ever file i have to re-connect my source and possibly lost some data...
What is the best way to deal with it ?
My Solution: [ But not satisfied with it ]
I have the source code of RtspSourceFilter and MP4Muxer[open source] so that forgot FileWriter...MP4 Muxer became a writer with Muxer...So stop it internally and write when necessary and then cretae new file...Do some buffering for not looosing data...
RTSP Source Filter ---> New MP4 Writer [ a writer with mp4 muxer in it]
But this introduce unnecessary complexity...Now i became maintainer of MUX operation via New MP4 Writer...Since i have no time to really understand what Mux do, i have to modify-hack it to behave what i want... Analogy: I have car and i will make a helicopter from it...It will be very ugly and un-trusted helicopter...Probably my New MP4 Filter [code] will be so...[ Big Ball of Mud]
It sounds like GMFBridge may be of use to you. It allows you to create one source graph, and multiple sink graphs. Then when your constraint is met, bridge the source graph to a new sink graph.
If you put the bridge in buffer (non-discard) mode, you should not loose any samples.
However, you will have to investigate if this solution works for you. Have a look at the sample applications for a quick overview.
I am looking for a way to setup a google analytics sandbox environment that will allow me
to test out my custom js code near real time.
My app will be using custom variables for advanced segmentation, and I would like to test out multiple scenarios quickly, as opposed to setting up a dummy GA account and wait for a whole day to confirm the test.
Thanks
Great question.
For GA, server updates occur every four hours, and after every sixth such update, the entire set is recalculated, which means a 24-hour lag from code change to reliable feedback. This delay also applies to most customizations to the GA Browser (e.g., "custom filters").
So if you are going to use GA as your web metrics system, and you expect to actually rely on those data then a test rig is essential.
For me, it's useful to group test systems for client-side analytics using two rubrics: (i) complete, self-contained (closed-loop) systems; or (ii) simpler automated data pulls from the production system (by "production system" here i mean GA's system, not the Site whose pages the GA code is tracking).
For the latter, just add this line to each page of your Site that contains the GA tracking code, just below '__trackPageview()':
pageTracker._setLocalRemoteServerMode();
That line will cause a copy of each transaction line to be logged to your server's activity log--so in essence, you get the data captured by GA in real-time That's all you need to do to capture the data; to parse it, you can use, for instance, any of the excellent open source web log analyzers like AWStats, or roll your own.
This is simple and reliable--but all it can do is tell you (in real-time) "does the analytics code i just implemented on pages served by my production server actually work?"
Usually, that's not good enough--you would rather know if your code will work before it's on your production server. To do that, you need to simulate the production environment and find a way to access in real-time the data GA collects.
This kind of test rig is a little more involved, but still not difficult.
In sum, it requires these steps:
host/serve the ga.js and the
tracking pixel locally;
log the __utm.gif requests (in the
GA data flow, each request
corresponds to one logged
transaction); and
parse the headers into some
convenient human-readable form.
If you want more detail than that (ie, a step-by-step implementation), here it is:
I. Hosting/Serving the GA Script (& automating updates
To do that, you can create a small shell script like this one to wget the latest ga.js version into your local directory (replacing the extant version it finds there).
#!/bin/sh
rm /My_Sites/sitename.com/analytics/ga.js
cd /My_Sites/sitename.com/analytics/
wget http://www.google-analytics.com/ga.js
chmod 644 /My_Sites/sitename.com/analytics/ga.js
cd ${OLDPWD}
exit 0;
(Thanks to AskApache.com, which provided the original motivation and config details to do this in a production context.)
II. Create __utm.gif file
This is just a transparent 1x1 pixel gif image, which you will place in Site directory (doesn't matter where, it just needs to match the location recited in your pages)
III. Log the __utm.gif Requests
For a testing protocol in which you are the source of the client-side activity (e.g., you want to verify the cross-browser fidelity of some event-tracking code you've added to a page on your Site, so you automate 5000 clicks on the button you just wired up,serving the page from your dev server set up for this purpose) it's probably simplest to just log the Request Headers, because it's in those headers that the GA script directs the client to gather various data from the DOM, from the location bar (url), and from prior http headers, and append them to a request for a resource on the GA server (__utm.gif, which is just a 1x1 transparent pixel).
For this type of protocol, i use the Firefox addon, LiveHTTPHeaders. You install it like any other Firefox addon, a few mouse clicks is all. Next, open it, and click the "Generator" tab. From this window, you can see the actual requests in real time. At the bottom of the window is a 'save' button to store the log. I find it easier to configure LiveHTTPHeaders to log only the __utm.gif requests; to do that, just click the 'Edit' tab and create a siimple filter to exclude everything except these particular gif images (using the check boxes on the right, and the large text box to the right).
Other kinds of test protocols require you to work from your Server Activity Logs; in that case just add this line to each page of your Site, just below __trackPageview():
pageTracker._setLocalRemoteServerMode();
IV. Parse those logged requests so you can actually read them
So now your log will contain individual transction lines, each one of which is a string appended to an HTTP Request for the GA tracking pixel. This string is just a concatenation of key-value pairs, each key begins with the letters "utm" (probably for "urchin tracker"). Each of these parameters corresponds to a variable that you see in the GA Dashboard (here's a complete list and description of them). This is all you need to know to build a parser. In more detail:
First, here's a sanitized __utm.gif request (the entries in your LiveHTTPHeaders log):
http://www.google-analytics.com/__utm.gif?utmwv=1&utmn=1669045322&utmcs=UTF-8&utmsr=1280x800&utmsc=24-bit&utmul=en-us&utmje=1&utmfl=10.0%20r45&utmcn=1&utmdt=Position%20Listings%20%7C%20Linden%20Lab&utmhn=lindenlab.hrmdirect.com&utmr=http://lindenlab.com/employment&utmp=/employment/openings.php?sort=da&&utmac=UA-XXXXXX-X&utmcc=__utma%3D87045125.1669045322.1274256051.1274256051.1274256051.1%3B%2B__utmb%3D87045125%3B%2B__utmc%3D87045125%3B%2B__utmz%3D87045125.1274256051.1.1.utmccn%3D(referral)%7Cutmcsr%3Dlindenlab.com%7Cutmcct%3D%2Femployment%7Cutmcmd%3Dreferral%3B%2B
This is my parser (in Python):
# regular expression module imported
import re
pattern = r'\&{1,2}'
pat_obj = re.compile(pattern)
# splitting the gif request on the '&' character
# (which GA originally used to concatenate each piece to build the request)
# (here, i've bound the __utm.gif to the variable by 'gfx')
gfx1 = pat_obj.split(gfx)
# create a look-up table to map a descriptive name to each gif request parameter
# (note, this isn't the entire list, which i've linked to above)
keys = "utmje utmsc utmsr utmac utmcc utmcn utmcr utmcs utmdt utme utmfl utmhn utmn utmp utmr utmul utmwv"
values = "java_enabled screen_color_depth screen_resolution account_string cookies campaign_session_new repeat_campaign_visit language_encoding page_title event_tracking_data flash_version host_name GIF_req_unique_id page_request referral_url browser_language gatc_version"
keys = keys.strip().split()
#create the look-up table
GIF_REQUEST_PARAMS = dict(zip(keys, values))
# parse each request parameter and map the parameter name to a descriptive name:
pattern = r'(utm\w{1,2})=(.*?)$'
pat_obj = re.compile(pattern)
for itm in gfx1 :
m = pat_obj.search(itm)
if m :
fmt = '{0:25} {1:10}'
print( fmt.format( GIF_REQUEST_PARAMS[m.group(1)], m.group(2) ) )
The result looks like this:
gatc_version 1
GIF_req_unique_id 1669045322
language_encoding UTF-8
screen_resolution 1280x800
screen_color_depth 24-bit
browser_language en-us
java_enabled 1
flash_version 10.0%20r45
campaign_session_new 1
page_title Position%20Listings%20%7C%20Linden%20Lab
host_name lindenlab.hrmdirect.com
referral_url http://lindenlab.com/employment
page_request /employment/openings.php?sort=da
account_string UA-XXXXXX-X
cookies
To avoid making this longer still, i left out the cookies' value. They obviously require a separate parsing step, though it's virtually identical to the step i just showed. Again, each request represents a single transaction, so you can store them as you need to.