Tachoparser
Decode and verify tachograph data (VU data and driver card data).
Inpired by ReadESM and Go Tachograph Card / Parse tacho's card file, but developed from scratch based on the specs.
BUILDING and INSTALLATION
Public keys
For proper data verification, the public keys (root ca and member states) are required.
The Python scripts pks1/dl_all_pks1.py
and pks2/dl_all_pks2.py
download and rename all available public keys, first generation (digital tachograph) public keys are expected to be in pks1
, second generation (smart tachograph) public keys are expected in pks2
.
> cd pks1
pks1> ./dl_all_pks1.py
pks1> cd ..
> cd pks2
pks2> ./dl_all_pks2.py
pks2> cd ..
Alternatively, they can be downloaded manually from ERCA certificates DT and ERCA certificates ST, but have to be renamed to their certificate reference (resp. unzipped in case of the root certificate) in this case.
BUILDING
In the root directory, execute
> ./build-binaries-prod.sh
Alternatively, execute
> go mod vendor
And then change the working directory to cmd/dddparser
(or any of the other subdirectories of cmd/
) and execute
> go build .
The project aims to have as little external dependencies as possible, currently there are the following external dependencies (most of them are actually not strictly required and could be removed with little effort):
The executables that are build are the following:
dddparser
is the main executable which parses tachograph / driver card data into a json structure.
dddsimple
is a very simplified version which only extracts the identification numbers and driver names
dddui
is a basic UI for dddparser (select an input tacho file, select an output json file, select the file type (VU or card))
dddserver
is a gRPC server for tachograph file parsing
dddclient
is a basic gRPC client which connects to the dddserver
Docker build
The Dockerfile in the main directory will create a docker image containing only the dddserver
executable.
Testing
There are unit tests for decoding different data types.
To run, type
> go test
INSTALLATION
Put the executable cmds/dddparser/dddparser
to a location that is in your PATH
, f.e.
> sudo cp cmds/dddparser/dddparser /usr/local/bin
USAGE
The executable dddparser
reads raw data from STDIN
and outputs JSON data to STDOUT
, warnings and errors are sent to STDERR
.
dddparser
requires one parameter option, which has to be either -card
or -vu
depending on the type of data (-card
is for driver card data, -vu
is for vehicle unit data).
Example:
> cat tachodata.ddd | ./dddparser -vu
The executable dddsimple
reads raw data from STDIN
and outputs JSON data to STDOUT
, warnings and errors are sent to STDERR
.
dddsimple
has one optional argument -card
which indicates that the input data is driver card data, if not given, it is assumed to be vehicle unit data.
Example:
> cat driverdata.ddd | ./dddsimple -card
The executable dddserver
starts a gRPC server which listens on port 50055 for incoming requests. The server can be started with the following command:
> ./dddserver
To change the port, use the -listen
option:
> ./dddserver -listen :50056
Tipps and Tricks
For output formatting and further processing, jq is recommended, f.e.:
> cat tachodata.ddd | dddparser -vu | jq . | less
TODO
- parse 1st generation driver card data
- parse 2nd generation driver card data
- parse 2nd generation v2 driver card data
- parse 1st generation vu data
- parse 2nd generation vu data
- parse 2nd generation v2 vu data
- signature verification 1st generation
- signature verification 2nd generation
- complete unit tests for all data types