Repository Summary
Checkout URI | https://github.com/gbiggs/rtctree.git |
VCS Type | git |
VCS Version | master |
Last Updated | 2017-06-22 |
Dev Status | DEVELOPED |
CI status | No Continuous Integration |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Packages
README
```
RTCTree =======
Introduction
RTCTree is a Python library providing an easy-to-use API for interacting with running RT Components and RTM-based systems running on OpenRTM-aist-1. It allows developers to manage these systems from other programs without needing to learn the CORBA API. Components can be started, stopped, connected together, have their configuration changed, and so on.
This software is developed at the National Institute of Advanced Industrial Science and Technology. Approval number H23PRO-1229. The development was financially supported by the New Energy and Industrial Technology Development Organisation Project for Strategic Development of Advanced Robotics Elemental Technologies.
This software is licensed under the GNU Lesser General Public License version 3 (LGPL3). See LICENSE.txt.
Requirements
RTCTree requires omniorb-py, including omniidl with the Python backend. If you have installed OpenRTM-python, you will have these installed already. If not, you will need to install them manually.
RTCTree requires Python 2.7. It will not function with an earlier version of Python. It has not been tested with Python 3 and it is likely that several changes will be necessary to make it function using this version of Python.
Sphinx must be installed to build the documentation.
Installation
There are several methods of installation available:
- (Preferred method) Use pip to install the PyPi package.
a. Install pip if it is not already installed. See https://pip.pypa.io/en/latest/installing/
b. Execute the following command to install RTCTree::
$ pip install rtctree
- Download the source from either the repository (see “Repository,” below) or a source archive, extract it somewhere, and install it into your Python distribution:
a. Extract the source, e.g. to a directory /home/blag/src/rtctree
b. Run setup.py to install RTCTree to your default Python installation::
$ python setup.py install
- On Windows, use the Windows installer.
Environment variables
The following environment variables are used:
RTCTREE_ORB_ARGS
A list of arguments, separated by semi-colons, to pass to the ORB
when creating it. Optional.
RTCTREE_NAMESERVERS
A list of name server addresses, separated by semi-colons, to parse
when creating the RTCTree. Each server in the list will be added to
the tree. Optional.
The only variable that should normally be set by the user is
RTCTREE_NAMESERVERS
. Set this to a list of name server addresses,
separated by semi-colons, that you want rtcshell to interact with. For
example, in a Bash shell, you can run the following::
$ export RTCTREE_NAMESERVERS=localhost;192.168.0.1:65346;example.com
The RTC Tree
The core of the library is the RTC Tree::
import rtctree.tree tree = rtctree.tree.RTCTree()
This is a file system-like tree built by parsing name servers to find directories, components and managers. You can treat it exactly the same way as you treat a normal file system. The tree represents the naming contexts, managers and components registered all on known name servers
File truncated at 100 lines see the full file
CONTRIBUTING
Repository Summary
Checkout URI | https://github.com/gbiggs/rtctree.git |
VCS Type | git |
VCS Version | v3.0.1 |
Last Updated | 2014-04-21 |
Dev Status | DEVELOPED |
CI status | No Continuous Integration |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Packages
README
```
rtctree =======
Introduction
rtctree is a Python library providing an easy-to-use API for interacting with running RT Components and RTM-based systems running on OpenRTM-aist-1.0. It allows developers to manage these systems from other programs without needing to learn the CORBA API. Components can be started, stopped, connected together, have their configuration changed, and so on.
This software is developed at the National Institute of Advanced Industrial Science and Technology. Approval number H23PRO-1229. The development was financially supported by the New Energy and Industrial Technology Development Organisation Project for Strategic Development of Advanced Robotics Elemental Technologies. This software is licensed under the Eclipse Public License -v 1.0 (EPL). See LICENSE.TXT.
Requirements
rtctree requires omniorb-py, including omniidl with the Python backend. If you have installed OpenRTM-python, you will have these installed already. If not, you will need to install them manually.
rtctree uses the new string formatting operations that were introduced in Python 2.6. It will not function with an earlier version of Python. It has not been tested with Python 3 and it is likely that several changes will be necessary to make it function using this version of Python.
For Ubuntu users, if you are using a version of Ubuntu prior to 9.04, you will need to install a suitable Python version by hand. You may want to consider upgrading to Ubuntu 9.04 or later (10.04 offers LTS).
Installation
There are several methods of installation available:
- Download the source from either the repository (see “Repository,” below) or a source archive, extract it somewhere, and install it into your Python distribution:
a) Extract the source, e.g. to a directory /home/blag/src/rtctree
b) Run setup.py to install rtctree to your default Python installation::
$ python setup.py install
c) If necessary, set environment variables. These should be set by
default, but if not you will need to set them yourself. On Windows,
you will need to ensure that your Python site-packages directory is
in the PYTHONPATH variable and the Python scripts directory is in the
PATH variable. Typically, these will be something like
C:\Python26\Lib\site-packages\
and C:\Python26\Scripts\
,
respectively (assuming Python 2.6 installed in C:\Python26\
).
- Use the Windows installer. This will perform the same job as running setup.py (see #2), but saves opening a command prompt. You may still need to add paths to your environment variables (see step c, above).
Environment variables
The following environment variables are used:
RTCTREE_ORB_ARGS
A list of arguments, separated by semi-colons, to pass to the ORB
when creating it. Optional.
RTCTREE_NAMESERVERS
A list of name server addresses, separated by semi-colons, to parse
when creating the RTCTree. Each server in the list will be added to
the tree. Optional.
The only variable that should normally be set by the user is
RTCTREE_NAMESERVERS
. Set this to a list of name server addresses,
separated by semi-colons, that you want rtcshell to interact with. For
example, in a Bash shell, you can run the following::
$ export RTCTREE_NAMESERVERS=localhost;192.168.0.1:65346;example.com
The RTC Tree
The core of the library is the RTC Tree::
import rtctree.tree tree = rtctree.tree.RTCTree()
File truncated at 100 lines see the full file
CONTRIBUTING
Repository Summary
Checkout URI | https://github.com/gbiggs/rtctree.git |
VCS Type | git |
VCS Version | v3.0.1 |
Last Updated | 2014-04-21 |
Dev Status | DEVELOPED |
CI status | No Continuous Integration |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Packages
Name | Version |
---|---|
rtctree | 3.0.1 |
README
```
rtctree =======
Introduction
rtctree is a Python library providing an easy-to-use API for interacting with running RT Components and RTM-based systems running on OpenRTM-aist-1.0. It allows developers to manage these systems from other programs without needing to learn the CORBA API. Components can be started, stopped, connected together, have their configuration changed, and so on.
This software is developed at the National Institute of Advanced Industrial Science and Technology. Approval number H23PRO-1229. The development was financially supported by the New Energy and Industrial Technology Development Organisation Project for Strategic Development of Advanced Robotics Elemental Technologies. This software is licensed under the Eclipse Public License -v 1.0 (EPL). See LICENSE.TXT.
Requirements
rtctree requires omniorb-py, including omniidl with the Python backend. If you have installed OpenRTM-python, you will have these installed already. If not, you will need to install them manually.
rtctree uses the new string formatting operations that were introduced in Python 2.6. It will not function with an earlier version of Python. It has not been tested with Python 3 and it is likely that several changes will be necessary to make it function using this version of Python.
For Ubuntu users, if you are using a version of Ubuntu prior to 9.04, you will need to install a suitable Python version by hand. You may want to consider upgrading to Ubuntu 9.04 or later (10.04 offers LTS).
Installation
There are several methods of installation available:
- Download the source from either the repository (see “Repository,” below) or a source archive, extract it somewhere, and install it into your Python distribution:
a) Extract the source, e.g. to a directory /home/blag/src/rtctree
b) Run setup.py to install rtctree to your default Python installation::
$ python setup.py install
c) If necessary, set environment variables. These should be set by
default, but if not you will need to set them yourself. On Windows,
you will need to ensure that your Python site-packages directory is
in the PYTHONPATH variable and the Python scripts directory is in the
PATH variable. Typically, these will be something like
C:\Python26\Lib\site-packages\
and C:\Python26\Scripts\
,
respectively (assuming Python 2.6 installed in C:\Python26\
).
- Use the Windows installer. This will perform the same job as running setup.py (see #2), but saves opening a command prompt. You may still need to add paths to your environment variables (see step c, above).
Environment variables
The following environment variables are used:
RTCTREE_ORB_ARGS
A list of arguments, separated by semi-colons, to pass to the ORB
when creating it. Optional.
RTCTREE_NAMESERVERS
A list of name server addresses, separated by semi-colons, to parse
when creating the RTCTree. Each server in the list will be added to
the tree. Optional.
The only variable that should normally be set by the user is
RTCTREE_NAMESERVERS
. Set this to a list of name server addresses,
separated by semi-colons, that you want rtcshell to interact with. For
example, in a Bash shell, you can run the following::
$ export RTCTREE_NAMESERVERS=localhost;192.168.0.1:65346;example.com
The RTC Tree
The core of the library is the RTC Tree::
import rtctree.tree tree = rtctree.tree.RTCTree()
File truncated at 100 lines see the full file
CONTRIBUTING
Repository Summary
Checkout URI | https://github.com/gbiggs/rtctree.git |
VCS Type | git |
VCS Version | v3.0.1 |
Last Updated | 2014-04-21 |
Dev Status | DEVELOPED |
CI status | No Continuous Integration |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Packages
README
```
rtctree =======
Introduction
rtctree is a Python library providing an easy-to-use API for interacting with running RT Components and RTM-based systems running on OpenRTM-aist-1.0. It allows developers to manage these systems from other programs without needing to learn the CORBA API. Components can be started, stopped, connected together, have their configuration changed, and so on.
This software is developed at the National Institute of Advanced Industrial Science and Technology. Approval number H23PRO-1229. The development was financially supported by the New Energy and Industrial Technology Development Organisation Project for Strategic Development of Advanced Robotics Elemental Technologies. This software is licensed under the Eclipse Public License -v 1.0 (EPL). See LICENSE.TXT.
Requirements
rtctree requires omniorb-py, including omniidl with the Python backend. If you have installed OpenRTM-python, you will have these installed already. If not, you will need to install them manually.
rtctree uses the new string formatting operations that were introduced in Python 2.6. It will not function with an earlier version of Python. It has not been tested with Python 3 and it is likely that several changes will be necessary to make it function using this version of Python.
For Ubuntu users, if you are using a version of Ubuntu prior to 9.04, you will need to install a suitable Python version by hand. You may want to consider upgrading to Ubuntu 9.04 or later (10.04 offers LTS).
Installation
There are several methods of installation available:
- Download the source from either the repository (see “Repository,” below) or a source archive, extract it somewhere, and install it into your Python distribution:
a) Extract the source, e.g. to a directory /home/blag/src/rtctree
b) Run setup.py to install rtctree to your default Python installation::
$ python setup.py install
c) If necessary, set environment variables. These should be set by
default, but if not you will need to set them yourself. On Windows,
you will need to ensure that your Python site-packages directory is
in the PYTHONPATH variable and the Python scripts directory is in the
PATH variable. Typically, these will be something like
C:\Python26\Lib\site-packages\
and C:\Python26\Scripts\
,
respectively (assuming Python 2.6 installed in C:\Python26\
).
- Use the Windows installer. This will perform the same job as running setup.py (see #2), but saves opening a command prompt. You may still need to add paths to your environment variables (see step c, above).
Environment variables
The following environment variables are used:
RTCTREE_ORB_ARGS
A list of arguments, separated by semi-colons, to pass to the ORB
when creating it. Optional.
RTCTREE_NAMESERVERS
A list of name server addresses, separated by semi-colons, to parse
when creating the RTCTree. Each server in the list will be added to
the tree. Optional.
The only variable that should normally be set by the user is
RTCTREE_NAMESERVERS
. Set this to a list of name server addresses,
separated by semi-colons, that you want rtcshell to interact with. For
example, in a Bash shell, you can run the following::
$ export RTCTREE_NAMESERVERS=localhost;192.168.0.1:65346;example.com
The RTC Tree
The core of the library is the RTC Tree::
import rtctree.tree tree = rtctree.tree.RTCTree()
File truncated at 100 lines see the full file
CONTRIBUTING
Repository Summary
Checkout URI | https://github.com/gbiggs/rtctree.git |
VCS Type | git |
VCS Version | master |
Last Updated | 2017-06-22 |
Dev Status | DEVELOPED |
CI status | No Continuous Integration |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Packages
README
```
RTCTree =======
Introduction
RTCTree is a Python library providing an easy-to-use API for interacting with running RT Components and RTM-based systems running on OpenRTM-aist-1. It allows developers to manage these systems from other programs without needing to learn the CORBA API. Components can be started, stopped, connected together, have their configuration changed, and so on.
This software is developed at the National Institute of Advanced Industrial Science and Technology. Approval number H23PRO-1229. The development was financially supported by the New Energy and Industrial Technology Development Organisation Project for Strategic Development of Advanced Robotics Elemental Technologies.
This software is licensed under the GNU Lesser General Public License version 3 (LGPL3). See LICENSE.txt.
Requirements
RTCTree requires omniorb-py, including omniidl with the Python backend. If you have installed OpenRTM-python, you will have these installed already. If not, you will need to install them manually.
RTCTree requires Python 2.7. It will not function with an earlier version of Python. It has not been tested with Python 3 and it is likely that several changes will be necessary to make it function using this version of Python.
Sphinx must be installed to build the documentation.
Installation
There are several methods of installation available:
- (Preferred method) Use pip to install the PyPi package.
a. Install pip if it is not already installed. See https://pip.pypa.io/en/latest/installing/
b. Execute the following command to install RTCTree::
$ pip install rtctree
- Download the source from either the repository (see “Repository,” below) or a source archive, extract it somewhere, and install it into your Python distribution:
a. Extract the source, e.g. to a directory /home/blag/src/rtctree
b. Run setup.py to install RTCTree to your default Python installation::
$ python setup.py install
- On Windows, use the Windows installer.
Environment variables
The following environment variables are used:
RTCTREE_ORB_ARGS
A list of arguments, separated by semi-colons, to pass to the ORB
when creating it. Optional.
RTCTREE_NAMESERVERS
A list of name server addresses, separated by semi-colons, to parse
when creating the RTCTree. Each server in the list will be added to
the tree. Optional.
The only variable that should normally be set by the user is
RTCTREE_NAMESERVERS
. Set this to a list of name server addresses,
separated by semi-colons, that you want rtcshell to interact with. For
example, in a Bash shell, you can run the following::
$ export RTCTREE_NAMESERVERS=localhost;192.168.0.1:65346;example.com
The RTC Tree
The core of the library is the RTC Tree::
import rtctree.tree tree = rtctree.tree.RTCTree()
This is a file system-like tree built by parsing name servers to find directories, components and managers. You can treat it exactly the same way as you treat a normal file system. The tree represents the naming contexts, managers and components registered all on known name servers
File truncated at 100 lines see the full file
CONTRIBUTING
Repository Summary
Checkout URI | https://github.com/gbiggs/rtctree.git |
VCS Type | git |
VCS Version | master |
Last Updated | 2017-06-22 |
Dev Status | DEVELOPED |
CI status | No Continuous Integration |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Packages
README
```
RTCTree =======
Introduction
RTCTree is a Python library providing an easy-to-use API for interacting with running RT Components and RTM-based systems running on OpenRTM-aist-1. It allows developers to manage these systems from other programs without needing to learn the CORBA API. Components can be started, stopped, connected together, have their configuration changed, and so on.
This software is developed at the National Institute of Advanced Industrial Science and Technology. Approval number H23PRO-1229. The development was financially supported by the New Energy and Industrial Technology Development Organisation Project for Strategic Development of Advanced Robotics Elemental Technologies.
This software is licensed under the GNU Lesser General Public License version 3 (LGPL3). See LICENSE.txt.
Requirements
RTCTree requires omniorb-py, including omniidl with the Python backend. If you have installed OpenRTM-python, you will have these installed already. If not, you will need to install them manually.
RTCTree requires Python 2.7. It will not function with an earlier version of Python. It has not been tested with Python 3 and it is likely that several changes will be necessary to make it function using this version of Python.
Sphinx must be installed to build the documentation.
Installation
There are several methods of installation available:
- (Preferred method) Use pip to install the PyPi package.
a. Install pip if it is not already installed. See https://pip.pypa.io/en/latest/installing/
b. Execute the following command to install RTCTree::
$ pip install rtctree
- Download the source from either the repository (see “Repository,” below) or a source archive, extract it somewhere, and install it into your Python distribution:
a. Extract the source, e.g. to a directory /home/blag/src/rtctree
b. Run setup.py to install RTCTree to your default Python installation::
$ python setup.py install
- On Windows, use the Windows installer.
Environment variables
The following environment variables are used:
RTCTREE_ORB_ARGS
A list of arguments, separated by semi-colons, to pass to the ORB
when creating it. Optional.
RTCTREE_NAMESERVERS
A list of name server addresses, separated by semi-colons, to parse
when creating the RTCTree. Each server in the list will be added to
the tree. Optional.
The only variable that should normally be set by the user is
RTCTREE_NAMESERVERS
. Set this to a list of name server addresses,
separated by semi-colons, that you want rtcshell to interact with. For
example, in a Bash shell, you can run the following::
$ export RTCTREE_NAMESERVERS=localhost;192.168.0.1:65346;example.com
The RTC Tree
The core of the library is the RTC Tree::
import rtctree.tree tree = rtctree.tree.RTCTree()
This is a file system-like tree built by parsing name servers to find directories, components and managers. You can treat it exactly the same way as you treat a normal file system. The tree represents the naming contexts, managers and components registered all on known name servers
File truncated at 100 lines see the full file