Table of Contents
- Overview
- Backward compatibility
- Docker
- System requirements
- YDK Python Installation
- Generate YDK components
- Generating an "Adhoc" YDK-Py Bundle
- Notes
- Running Unit Tests
- Support
- Release Notes
YDK is a developer tool that allows generate YANG model API's in multiple languages and provides services to apply generated API over multiple communication protocols. Currently supported languages are: Python, Go and C++. Currently implemented protocols are: Netconf, Restconf, OpenDaylight and gNMI. YDK provides CRUD and protocol specific service over above protocols. YDK also provides Codec services to translate API models to/from XML and JSON encoded strings.
Other tools and libraries are used to deliver YDK functionality:
- YANG model analysis and code generation is implemented using APIs from the pyang library
- Documentation is generated using Sphinx
- Runtime YANG model analysis is done using libyang
- C++ to python bindings are created using pybind11
- C++ uses catch and spdlog for tests and logging respectively
The output of ydk-gen is either a core package, that defines main services and providers,
or add-on service package like gNMI Service, or a module bundle, consisting of programming language APIs derived from YANG models.
Each module bundle is generated using a bundle profile and the ydk-gen tool.
Developers can either use pre-packaged generated bundles (e.g. ydk-py),
or define their own bundle, consisting of a set of YANG models, using a bundle profile
(e.g. ietf_0_1_1.json).
This gives the developer an ability to customize scope of their bundle based on their requirements.
The YDK-0.8.4 core is backward compatible with all previously generated model bundles starting from release of YDK-0.7.3. It is not compatible with YDK-0.7.2 and earlier bundle packages due to changes in modeling and handling of YList objects.
A docker image is automatically built with the latest ydk-gen commit. This docker can be used to run ydk-gen without installing anything natively on your machine.
To use the docker image, install docker on your system and run the below command. See the docker documentation for more details.
docker run -it ydkdev/ydk-gen
Please follow the below instructions to install the system requirements before installing YDK-Py/YDK-Cpp/YDK-Go.
Please note. If you are using the latest ydk-gen master branch code, you may not be able to use prebuilt libraries and packages. In this case you need to build all the components from source after installing the below requirements:
sudo apt-get install gdebi-core python3-dev libtool-bin
sudo apt-get install libcurl4-openssl-dev libpcre3-dev libssh-dev libxml2-dev libxslt1-dev cmake
# Upgrade compiler to gcc 5.*
sudo apt-get install gcc-5 g++-5 -y > /dev/null
sudo ln -sf /usr/bin/g++-5 /usr/bin/g++
sudo ln -sf /usr/bin/gcc-5 /usr/bin/gcc
You can install the latest libydk core library using prebuilt binaries for Xenial and Bionic distributions.
The C++ code was compiled with default gcc compiler version for these distributions.
For other Ubuntu distributions and/or gcc compiler versions it is recommended to build libydk library from source.
wget https://devhub.cisco.com/artifactory/debian-ydk/0.8.4/xenial/libydk-0.8.4-1.amd64.deb
sudo gdebi libydk-0.8.4-1.amd64.deb
wget https://devhub.cisco.com/artifactory/debian-ydk/0.8.4/bionic/libydk-0.8.4-1.amd64.deb
sudo gdebi libydk-0.8.4-1.amd64.deb
sudo yum install epel-release
sudo yum install libssh-devel gcc-c++ python3-devel
if your gcc compiler version is below 4.8.1, install gcc-5 and g++-5
sudo yum install centos-release-scl -y > /dev/null
sudo yum install devtoolset-4-gcc* -y > /dev/null
sudo ln -sf /opt/rh/devtoolset-4/root/usr/bin/gcc /usr/bin/gcc
sudo ln -sf /opt/rh/devtoolset-4/root/usr/bin/g++ /usr/bin/g++
The C++ code was compiled with default gcc compiler version, which is 4.8.5. For other gcc compiler versions it is recommended to build libydk library from source.
sudo yum install https://devhub.cisco.com/artifactory/rpm-ydk/0.8.4/libydk-0.8.4-1.x86_64.rpm
It is recommended to install homebrew and Xcode command line tools on your system before installing YDK software.
xcode-select --install
/usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"
brew install pkg-config libssh xml2 curl pcre cmake libxml2 doxygen libgcrypt
brew install python pybind11
The prebuilt libydk package was compiled in MacOS-10.11.6 with clang-8.0.0 compiler.
For other C++ compilers it is recommended to build libydk from source.
curl -O https://devhub.cisco.com/artifactory/osx-ydk/0.8.4/libydk-0.8.4-Darwin.pkg
sudo installer -pkg libydk-0.8.4-Darwin.pkg -target /
Please note that libssh-0.8.0 does not support <https://api.libssh.org/master/libssh_tutor_threads.html>_ separate threading library,
which is required by YDK. Therefore, if after installation of libssh package you find that the libssh_threads.a library is missing,
please downgrade the installation of libssh to version 0.7.6, or upgrade to 0.8.1 or higher.
Note for MacOS
Before installing libssh make sure the environment for openssl is setup:
brew reinstall openssl
export OPENSSL_ROOT_DIR=/usr/local/opt/openssl
Download libssh-0.7.6 source code, compile it and install:
wget https://git.libssh.org/projects/libssh.git/snapshot/libssh-0.7.6.tar.gz
tar zxf libssh-0.7.6.tar.gz && rm -f libssh-0.7.6.tar.gz
mkdir libssh-0.7.6/build && cd libssh-0.7.6/build
cmake ..
sudo make install
From release 0.6.0 the YDK is not supported on Windows.
In order to enable YDK support for gNMI protocol, which is optional, the following third party software must be installed prior to gNMI YDK component installation.
wget https://github.com/google/protobuf/releases/download/v3.5.0/protobuf-cpp-3.5.0.zip
unzip protobuf-cpp-3.5.0.zip
cd protobuf-3.5.0
./configure
make
sudo make install
sudo ldconfig
git clone -b v1.9.1 https://github.com/grpc/grpc
cd grpc
git submodule update --init
make
sudo make install
sudo ldconfig
cd -
wget https://devhub.cisco.com/artifactory/debian-ydk/0.8.4/xenial/libydk_gnmi-0.4.0-4.amd64.deb
sudo gdebi libydk_gnmi-0.4.0-4.amd64.deb
wget https://devhub.cisco.com/artifactory/debian-ydk/0.8.4/bionic/libydk_gnmi-0.4.0-4.amd64.deb
sudo gdebi libydk_gnmi-0.4.0-4.amd64.deb
The libydk_gnmi package was compiled with gcc-4.8.5.
sudo yum install https://devhub.cisco.com/artifactory/rpm-ydk/0.8.4/libydk_gnmi-0.4.0-4.x86_64.rpm
The prebuilt libydk_gnmi package was compiled in MacOS-10.11.6 with clang-8.0.0 compiler.
For other C++ compilers it is recommended to build libydk library from source
curl -O https://devhub.cisco.com/artifactory/osx-ydk/0.8.4/libydk_gnmi-0.4.0-4.Darwin.pkg
sudo installer -pkg libydk_gnmi-0.4.0-4.Darwin.pkg -target /
There is an open issue with gRPC on Centos/Fedora, which requires an extra step before running any YDK gNMI application.
See this issue on GRPC GitHub for details.
As a workaround, the YDK based application runtime environment must include setting of LD_LIBRARY_PATH variable:
PROTO="/Your-Protobuf-and-Grpc-installation-directory"
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$PROTO/grpc/libs/opt:$PROTO/protobuf-3.5.0/src/.libs:/usr/local/lib64
Install dependencies OS dependencies then generate and install YDK C++ libraries; you might need
sudo access to install the libraries in default locations, which are /usr/local/lib and /usr/local/include.
# Clone ydk-gen from GitHub
git clone https://github.com/CiscoDevNet/ydk-gen.git -b 0.8.4
cd ydk-gen
pip install -r requirements.txt
# Generate and install libydk library
./generate -is --cpp --core
# Generate and install libydk_gnmi library (optional)
./generate -is --cpp --service profiles/services/gnmi-0.4.0.json
We recommend that you run ydk-gen under Python virtual environment.
To install Python virtual environment in your system, execute:
python3 -m venv /your/virtualenv/directory
pip install virtualenv
virtualenv -p python2.7 /your/virtualenv/directory
pip3 install virtualenv
virtualenv -p python3 /your/virtualenv/directory
source /your/virtualenv/directory/bin/activate
deactivate
git clone https://github.com/CiscoDevNet/ydk-gen.git
cd ydk-gen
pip install -r requirements.txt
All the YDK components/packages can be generated by using Python script generate.py.
./generate.py --help
usage: generate.py [-h] [-l] [--core] [--service SERVICE] [--bundle BUNDLE]
[--adhoc-bundle-name ADHOC_BUNDLE_NAME]
[--adhoc-bundle ADHOC_BUNDLE [ADHOC_BUNDLE ...]]
[--generate-meta] [--generate-doc] [--generate-tests]
[--output-directory OUTPUT_DIRECTORY] [--cached-output-dir]
[-p] [-c] [-g] [-v] [-o]
Generate YDK artifacts:
optional arguments:
-h, --help show this help message and exit
-l, --libydk Generate libydk core package
--core Generate and/or install core library
--service SERVICE Location of service profile JSON file
--bundle BUNDLE Location of bundle profile JSON file
--adhoc-bundle-name ADHOC_BUNDLE_NAME
Name of the adhoc bundle
--adhoc-bundle ADHOC_BUNDLE [ADHOC_BUNDLE ...]
Generate an SDK from a specified list of files
--generate-meta Generate meta-data for Python bundle
--generate-doc Generate documentation
--generate-tests Generate tests
--output-directory OUTPUT_DIRECTORY
The output directory where the sdk will get created.
--cached-output-dir The output directory specified with --output-directory
includes a cache of previously generated gen-
api/<language> files under a directory called 'cache'.
To be used to generate docs for --core
-p, --python Generate Python SDK
-c, --cpp Generate C++ SDK
-g, --go Generate Go SDK
-v, --verbose Verbose mode
-o, --one-class-per-module
Generate separate modules for each python class
corresponding to yang containers or lists.
The below steps specify how to use generate.py to generate YDK core, model bundle, and service packages. All these packages are available for Python, Go and C++ in corresponding github repositories: ydk-py, ydk-go and ydk-cpp.
The script create_ydk_sdk_for_github.sh can be used to generate the ydk-py, ydk-cpp and ydk-go repositories after having generated all the bundles and core packages using generate.py.
Some model bundles have bin packaged and published in Pypi repository. These bundles can be installed with pip utility. For example, when executing pip install ydk-models-cisco-ios-xr, you will install the latest released in PyPi IOS XR device package.
Note: There usually would have been changes on the master branch since the last released version. To install the latest code at your own risk, you need to follow the below steps in the exact order.
First generate and install libydk
./generate.py --libydk
cd gen-api/cpp/ydk/build
make
[sudo] make install
To create the libydk binary package to use for later installation, run the below command
[sudo] make package
For Python:
./generate.py --python --core
pip install gen-api/python/ydk/dist/ydk*.tar.gz
For Go:
export $GOPATH=/your-go-path-installation-directory
./generate.py --go --core
The first step in using ydk-gen is either using one of the already built bundle profiles or constructing your own bundle profile, consisting of the YANG models you are interested to include into the bundle:
Construct a bundle profile file, such as ietf_0_1_1.json and specify its dependencies.
A sample bundle profile file is described below. The file is in a JSON format. Specify the name of your bundle, the version of the bundle and the ydk_version, which refers to the version of the ydk core package you want to use with this bundle. The name of the bundle here is especially important as this will form part of the installation path of the bundle.
{
"name":"cisco-ios-xr",
"version": "0.1.0",
"ydk_version": "0.8.4",
"Author": "Cisco",
"Copyright": "Cisco",
"Description": "Cisco IOS-XR Native Models From Git",
The "models" section of the file describes where to source models from. There are 3 sources:
- Directories
- Specific files
- Git, within which specific relative directories and files may be referenced
The sample below shows the use of git sources only.
"models": {
"git": [
We have a list of git sources. Each source must specify a URL. This URL should be one that allows the repository to be cloned without requiring user intervention, so please use a public URL such as the example below. There are three further options that can be specified:
commitid- Optional specification of a commit in string form. The files identified will be copied from the context of this commit.dir- List of relative directory paths within git repository. All .yang files in this directory and any sub-directories will be pulled into the generated bundle.file- List of relative file paths within the git repository.
Only directories are shown in below example.
{
"url": "https://github.com/YangModels/yang.git",
"dir": [
"vendor/cisco/xr/532"
]
},
{
"url": "https://github.com/YangModels/yang.git",
"commitid": "f6b4e2d59d4eedf31ae8b2fa3119468e4c38259c",
"dir": [
"experimental/openconfig/bgp",
"experimental/openconfig/policy"
]
}
]
},
Generate model bundle using a bundle profile and install it.
For Python:
./generate.py --python --bundle profiles/bundles/<name-of-profile>.json
[sudo] pip install gen-api/python/<name-of-bundle>-bundle/dist/ydk*.tar.gz
or using installation options:
./generate.py --bundle profiles/bundles/<name-of-profile>.json -i [-s]
Now, the pip list | grep ydk should show the ydk (referring to the core package) and ydk-<name-of-bundle> packages installed:
pip list | grep ydk
...
ydk (0.8.4)
ydk-models-<name-of-bundle> (0.5.1)
...
For Go:
export $GOPATH=/your-go-path-installation-directory
./generate.py --go --bundle profiles/bundles/<name-of-profile>.json -i
For C++:
./generate.py --cpp --bundle profiles/bundles/<name-of-profile>.json
cd gen-api/cpp/<name-of-bundle>-bundle/build
make
[sudo] make install
or using installation options:
./generate.py --cpp --bundle profiles/bundles/<name-of-profile>.json -i [-s]
Now, you can start creating apps based on the models in your bundle.
Assuming you generated a python bundle, the models will be available for importing in your app under
ydk.models.<name-of-your-bundle>.
For examples, see ydk-py-samples and
C++ samples.
Also refer to the documentation for python,
Go and
for C++.
When generating the YDK documentation for several bundles and the core, it is recommended to generate the bundles without the --generate-doc option.
After generating all the bundles, the combined documentation for all the bundles and the core can be generated using the --core --generate-doc option.
For example, the below sequence of commands will generate the documentation for the three python bundles and the python core
(for C++, use --cpp; for Go, use --go).
Note that the below process could take few hours due to the size of the cisco_ios_xr bundle.
./generate.py --python --bundle profiles/bundles/ietf_0_1_1.json
./generate.py --python --bundle profiles/bundles/openconfig_0_1_1.json
./generate.py --python --bundle profiles/bundles/cisco_ios_xr_6_1_1.json
./generate.py --python --core --generate-doc
If you have previously generated documentation, using the --cached-output-dir --output-directory <dir> option can be used to reduce document generation time. Taking Python as an example:
mkdir gen-api/cache
mv gen-api/python gen-api/cache
./generate.py --python --bundle profiles/bundles/ietf_0_1_5.json
./generate.py --python --bundle profiles/bundles/openconfig_0_1_5.json
./generate.py --python --bundle profiles/bundles/cisco_ios_xr_6_3_2.json
./generate.py --python --core --generate-doc --output-directory gen-api --cached-output-dir -v
Pre-generated documentation for ydk-py and ydk-cpp are available.
The ability to generate an adhoc bundle directly from the command line and without creating a bundle file can be done something like this:
./generate.py --adhoc-bundle-name test --adhoc-bundle \
/opt/git-repos/clean-yang/vendor/cisco/xr/621/Cisco-IOS-XR-ipv4-bgp-oper*.yang \
/opt/git-repos/clean-yang/vendor/cisco/xr/621/Cisco-IOS-XR-types.yang
/opt/git-repos/clean-yang/vendor/cisco/xr/621/Cisco-IOS-XR-ipv4-bgp-datatypes.yang
When run in this way, we will generate a bundle that only contains the files specified with the --adhoc-bundle option, creating a pip package name by the --adhoc-bundle-name, with a version 0.1.0 and a dependency on the base IETF bundle. Note that all dependencies for the bundle must be listed, and the expectation is that this option will typically be used for generating point YDK-Py bundles for specific testing, the --verbose option is automatically enabled to quickly and easily let a user see if dependencies have been satisfied.
YDK supports both Python2 and Python3 versions. At least Python2.7 or Python3.4 along with corresponding utilities pip and pip3 must be installed on your system.
It is also required for Python installation to include corresponding shared library. As example:
- python2.7 - /usr/lib/x86_64-linux-gnu/libpython2.7.so
- python3.5m - /usr/lib/x86_64-linux-gnu/libpython3.5m.so
Please follow System requirements to assure presence of shared Python libraries.
In some OS configurations during YDK package installation the cmake fails to find C/C++ headers for installed YDK libraries.
In this case the header location must be specified explicitly:
export C_INCLUDE_PATH=/usr/local/include
export CPLUS_INCLUDE_PATH=/usr/local/include
The developers of Python2 on Mac OS might face an issue (#837). This is well known and documented issue. Each developer might have different approaches for its resolution. One of them is to use Python2 virtual environment. See Setting up Python virtual environment for details.
README - install and usage notes
gen-api - generated bundle/core
- python (Python SDK)
- go (Go SDK)
- cpp (C++ SDK)
generate.py - script used to generate SDK for yang models
profiles - profile files used during generation
yang - some yang models used for testing
requirements.txt- python dependencies used during installation
sdk - sdk core and stubs for python and cpp
test - test code
Sometimes, developers using ydk-gen may run across errors when generating a YDK bundle using generate.py with some yang models. If there are issues with the .json profile file being used, such errors will be easily evident. Other times, when the problem is not so evident, it is recommended to try running with the [--verbose|-v] flag, which may reveal syntax problems with the yang models being used. For example,
./generate.py --python --bundle profiles/bundles/ietf_0_1_1.json --verbose
Also, it may be a good idea to obtain a local copy of the yang models and compile them using pyang to ensure the validity of the models,
cd /path/to/yang/models
pyang *.yang
After creating and activating virtual environment install Python dependencies:
cd ydk-gen
pip install -r requirements.txt
Then install core and bundle packages:
cd ydk-gen
./generate.py -i --core
./generate.py -i --bundle profiles/test/ydktest-cpp.json
./generate.py -i --bundle profiles/test/ydktest-oc-nis.json
source /confd/installation/directory/confdrc
cd ydk-gen/sdk/cpp/core/tests/confd/ydktest
make all
make start
cd ydk-gen/sdk/python
python test/test_sanity_types.py
python test/test_sanity_levels.py
python test/test_sanity_filters.py
cd ydk-gen
./generate.py -is --core --cpp
./generate.py -is --bundle profiles/test/ydktest-cpp.json --cpp
./generate.py -is --bundle profiles/test/ydktest-oc-nis.json --cpp
cd ydkgen/gen-api/cpp/ydk/build
./test/ydk_core_test
source /confd/installation/directory/confdrc
cd ydk-gen/sdk/cpp/core/tests/confd/ydktest
make all
make start
cd ydk-gen/sdk/cpp/tests
mkdir build && cd build
cmake .. && make
./ydk_bundle_test
Please refer here.
Join the YDK community to connect with other users and with the makers of YDK.
The current YDK release version is 0.8.4. The version of the latest YDK-Gen master branch is 0.8.4. YDK-Gen is licensed under the Apache 2.0 License.