drowl87/libcotshrink

libcotshrink takes CotEvents from ATAK and turns them into minimally sized byte arrays

libcotshrink takes CotEvent instances from ATAK and turns them into minimally sized byte arrays.

It uses a combination of EXI (Efficient XML Interchange), Protobufs, and GZip.

Adding to your Project

libcotshrink is now available on Maven Central

Edit your app/build.gradle and add the library to your app/plugin's dependencies:

dependencies {
    ...

    implementation 'com.paulmandal.atak:libcotshrink:1.0.3'
}

Run Gradle Sync and you will have access to libcotshrink's classes.

API / Usage

The CotShrinker class contains the libcotshrink API. It has lossless and lossy variants:

CotShrinker.toByteArray(CotEvent) - Losslessly converts a CotEvent to a byte array, currently this uses EXI (Efficient XML Interchange)

CotShrinker.toByteArrayLossy(CotEvent) - Lossy conversion for a CotEvent to a byte array, uses custom protobufs. This will fall back to toByteArray(CotEvent) if the custom protobuf conversion fails.

CotShrinker.toCotEvent(byte[]) - Will attempt to convert back to a CotEvent, first using the lossy conversion and then using the lossless if that one fails.

Example usage:

CotEvent cotEvent = ...;
CotShrinkerFactory cotShrinkerFactory = new CotShrinkerFactory();
CotShrinker cotShrinker = cotShrinkerFactory.createCotShrinker();

// Convert to bytes
byte[] cotAsBytes = cotShrinker.toByteArray(cotEvent);
byte[] cotAsLossyBytes = cotShrinker.toByteArrayLossy(cotEvent);

// Convert back
CotEvent cotFromBytes = cotShrinker.toCotEvent(cotAsBytes);
CotEvent cotFromLossyBytes = cotShrinker.toCotEvent(cotAsLossyBytes);

Lossy Conversion Details (WIP)

Using the CotShrinker.toByteArrayLossy(CotEvent) method will cause loss of precision in the following ways:

Field	Description
time	to whole seconds since start of year
stale	to whole seconds since time
start	reuses valuefrom time
point.lat	to 7 decimal places
point.lon	to 7 decimal places
point.hae	to 16 bit, -900 to 20945 range, 0.3m
point.ce	to int from double
point.le	to int from double
link.lat	to 7 decimal places
link.lon	to 7 decimal places
link.hae	to 2 decimal places
track.course	to 3 decimal places
track.speed	to 1 decimal place
height.value	to 3 decimal places
shape.major	to 3 decimal places
shape.minor	to 3 decimal places
__geofence.boundingSphere	to 1 decimal place
__geofence.minElevation	to 1 decimal place
__geofence.maxElevation	to 1 decimal place

Contributing / TODO

To test your changes, make sure your app is in the same parent directory as your libcotshrink directory. In your app's settings.gradle:

include ':libcotshrink'
project(':libcotshrink').projectDir = file('../libcotshrink')

and in your app's build.gradle include the dependency like this:

dependencies {
    ...
    implementation project(':libcotshrink')
}

You will need to comment out all the build.gradle lines in libcotshrink related to publishing to Maven, you can just click Try Again in Android Studio repeatedly and comment out each line that causes an issue.

• Figure out how to get unit tests working, they rely CotEvent.parse() but this does not seem to work during unit tests
• Use sint32 instead of int32 for fields that can be negative
• Support more message types (please identify them and how they are generated in Issues)
• Create detail subobjects for each set of detail fields used by a specific message type, e.g. the detail field should have objs like GeoChatDetail, PliDetail, etc. that are composed of the existing detail fields. This MAY save some space, need to test with PLI or something like that first.
• Shrink messages further
• Use Dagger 2

Performance Stats

Message Type	Original Size	Lossless Size	Lossy Size
PLI	731	545 (-25.44%)	171 (-76.61%)
HA PLI	732	546 (-25.41%)	171 (-76.64%)
-HAE PLI	720	543 (-24.58%)	171 (-76.25%)
PLI w/o IP	725	539 (-25.66%)	166 (-77.10%)
Complex Shape	800	575 (-28.13%)	222 (-72.25%)
Drawn Shape	963	687 (-28.66%)	212 (-77.99%)
Freehand	1867	958 (-48.69%)	600 (-67.86%)
Group Chat	1181	723 (-38.78%)	346 (-70.70%)
Chat w/ MessageId	932	647 (-30.58%)	274 (-70.60%)
OP	735	546 (-25.71%)	194 (-73.61%)
P2P Chat	951	642 (-32.49%)	303 (-68.14%)
Route	2826	1692 (-40.13%)	544 (-80.75%)
Sensor	1106	853 (-22.88%)	285 (-74.23%)
Simple Shape	881	656 (-25.54%)	240 (-72.76%)
User Icon	770	582 (-24.42%)	252 (-67.27%)
Waypoint	756	552 (-26.98%)	198 (-73.81%)
Casevac w/ All Fields	1810	1414 (-21.88%)	601 (-66.80%)
Casevac w/ Empty Fields	876	669 (-23.63%)	236 (-73.06%)
Circle	912	621 (-31.91%)	209 (-77.08%)
GeoFence w/ Altitude	1040	792 (-23.85%)	222 (-78.65%)
GeoFence w/o Altitude	1009	761 (-24.58%)	217 (-78.49%)