A Python client for RTMA/Dragonfly
Project description
pyrtma
RTMA/Dragonfly client written in python with no external dependencies. Based on and compatible with Dragonfly Messaging
Installation
pyrtma is available on PyPI
pip install pyrtma --upgrade
Installing for pyrtma development
This is only necessary for individuals who would like to contribute to pyrtma.
From pyrtma git repo directory:
pip install --upgrade pip setuptools
pip install -e .
Usage
Launch Manager
python -m pyrtma.manager
or
message_manager
Create a message in message.yaml
Message definitions are created in a .yaml file.
The ruamel.yaml parser library is used internally (https://yaml.readthedocs.io/en/latest/)
Notes about yaml format:
- Whitespace sensitive. Use either 2 or 4 spaces for tab not '\t'
- Key-values must be separated by a colon followed by a space, (Key: Value, not Key:Value)
- Must follow the top-level headers shown below.
- Unused sections should be marked
null
- Names must start with letter. (no _ or numeric prefixes allowed)
- Use (.yaml) extension not (.yml)
List of supported native data types:
char
byte
float
double
int8
int16
int32
int64
uint8
uint16
uint32
uint64
Below is an example:
# message.yaml
imports: null
# Constant values and expressions
constants:
STR_SIZE: 32
LONG_STRING: STR_SIZE * 2
# Constant string values
string_constants:
default_msg: "hello_world"
host_ids: null
module_ids:
PERSON_PUBLISHER: 212
PERSON_SUBSCRIBER: 214
# Alias a type by another name
aliases:
AGE_TYPE: int32
# Non-message structured data (no id field)
struct_defs:
TEST_STRUCT:
fields:
value_str: char[STR_SIZE]
value_int: int32
# Message defintions with user assigned id field
message_defs:
PERSON_MESSAGE:
id: 1234
fields:
name: char[STR_SIZE]
age: AGE_TYPE
ANOTHER_EXAMPLE:
id: 5678
fields:
value_struct: TEST_STRUCT
value_float: float
value_double: double
# Example signal definition
USER_SIGNAL:
id: 2468
fields: null
# Example using a nested message defintion
PERSON_LIST:
id: 1357
fields:
person: PERSON_MESSAGE[32]
# Example reusing a message definition by another name
EMPLOYEES:
id: 1368
fields: PERSON_LIST
# A block of message ids can be reserved by a file for future use
# Ranges are inclusive on both ends
# Note that ':' cannot be used to indicate a range, as this will cause
# the yaml parser to throw an error
_RESERVED_:
id: [1000, 1002 - 1008, 1009 to 1012]
Run the following command to compile the yaml file into Python, C, Matlab, or Javascript files. This will output a message.(py|h|m|js) file.
python -m pyrtma.compile -i examples/msg_defs/message.yaml --py --c --mat --js
or
rtma_compiler -i examples/msg_defs/message.yaml --py --c --mat --js
The msg_defs directory should now have message def files created for each language.
The rtma objects are compiled into objects suitable for each language.
[!NOTE] The pyrtma message compiler requires python 3.8+. Messages compiled for python in python 3.8+ may continue to work with pyrtma clients in python 3.7, but support for 3.7 is being phased out.
Examples
See /examples/example.py
for pub/sub demo app
Compile the example message defintions:
python -m pyrtma.compile -i ./examples/msg_defs/message.yaml --py
Start the demo MessageManager server
python -m pyrtma.manager
Start the publisher in one console:
python ./examples/example.py --pub
Start the subscriber in another:
python ./examples/example.py --sub
Javascript
Clients in javascript require the web_manager server to convert websocket messages to rtma messages.
Run:
python -m pyrtma.web_manager -m <MM_IP> -p <WEBSOCKET_PORT> -d <DEFS_FILE>
or
web_manager -m <MM_IP> -p <WEBSOCKET_PORT> -d <DEFS_FILE>
to launch the web_manager which will listen to websocket connects on port <WEBSOCKET_PORT> and forward to message manager at <MM_IP>, using pyrtma message definitions defined in <DEFS_FILE>.
See rtma-js for developing rtma clients in javascript.
DataLogger
See examples/data_logger_example.py
for an example on how to configure data collection for a DataLogger.
To start up the logging module:
python -m pyrtma.data_logger --help
or
data_logger --help
There is also an interactive command line tool to control and configure the DataLogger manually:
python -m pyrtma.data_logger.cli
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