# Opinionated Python bindings for the `libyang` library
[](https://pypi.org/project/oopt-gnpy-libyang/)
[](https://pypi.org/project/oopt-gnpy-libyang/)
[](https://github.com/Telecominfraproject/oopt-gnpy-libyang/actions/workflows/ci.yaml)
Python bindings and packaging of [`libyang`](https://github.com/CESNET/libyang).
We're focusing on parsing, validating and accessing YANG-modeled JSON data trees.
Essentially, just enough to get [`gnpy`](https://github.com/Telecominfraproject/oopt-gnpy) going.
Want more?
Patches welcome.
Compared to the [CFFI libyang bindings](https://github.com/CESNET/libyang-python), this wrapper takes care of low-level memory management.
This means no more `node.free()` and `ctx.destroy()`.
We also produce prebuilt binary [wheels](https://realpython.com/python-wheels/) to make installation very simple.
## Usage
### Loading YANG data
```python
import oopt_gnpy_libyang as ly
c = ly.Context('tests/yang', ly.ContextOptions.AllImplemented | ly.ContextOptions.NoYangLibrary)
for m in ('iana-if-type', 'ietf-interfaces', 'ietf-ip'):
c.load_module(m)
blob = '''{
"ietf-interfaces:interfaces": {
"interface": [
{
"name": "lo",
"type": "iana-if-type:softwareLoopback",
"ietf-ip:ipv4": {
"address": [
{
"ip": "127.0.0.1",
"prefix-length": 8
}
]
},
"ietf-ip:ipv6": {
"address": [
{
"ip": "::1",
"prefix-length": 128
}
]
}
},
{
"name": "eth0",
"type": "iana-if-type:ethernetCsmacd"
}
]
}
}'''
data = c.parse_data(blob,
ly.DataFormat.JSON, ly.ParseOptions.Strict | ly.ParseOptions.Ordered,
ly.ValidationOptions.Present | ly.ValidationOptions.NoState)
```
### Working with data
Libyang works with forests (sets of trees), this is how to process all the data:
```python
for x in data.siblings():
print(f'a sibling: {x.path}')
for xx in x.children_dfs():
print(f' {"term " if xx.is_term else "child"}: {xx.path}')
if xx.is_term:
print(f' {xx.as_term()} {" (default)" if xx.as_term().is_default_value else ""}')
```
Data can be accessed via their known paths, of course. Either as a full, multi-level XPath:
```python
data["interface[name='lo']/ietf-ip:ipv6/address[ip='::1']/prefix-length"].as_term().value == 128
```
Or individually, one item per index:
```python
data["interface[name='lo']"]["ietf-ip:ipv6"]["address[ip='::1']"]["prefix-length"].as_term().value
```
Everything is an XPath, so it's possible to take a shortcut and skip specifying keys for single-element lists:
```python
data["interface[name='lo']"]["ietf-ip:ipv6"]["address"]["prefix-length"].as_term().value == 128
```
The data are provided as native Python types:
```python
type(data["interface[name='lo']"]["ietf-ip:ipv6"]["address"]["prefix-length"]
.as_term().value) == int
```
Absolute paths and generic XPath expressions can be used to retrieve arbitrary parts of the data forest, and to iterate over them:
```python
for iface in data.find("/ietf-interfaces:interfaces/interface"):
print iface["name"].as_term().value
```
Relative XPath conditions can be also used at the root level (which is represented as NULL in the C level):
```python
for iface in search_at_root(data)("ietf-interfaces:interfaces/interface"):
print iface["name"].as_term().value
```
New values can be created; use `None` for non-terminals, or `str` when a value is needed:
```python
node = ctx.create("/ietf-interfaces:interfaces/interface[name='666']")
another = ctx.create("/ietf-interfaces:interfaces/interface[name='666']/ietf-ip:ipv6/enabled", "true")
data["interface[name='lo']"]["ietf-ip:ipv6"]["address"]["prefix-length"] = "64"
```
### Validation errors
In libyang, if an operation fails, error details are available via `context.errors()`:
```python
import json
wrong = json.loads(blob)
wrong["ietf-interfaces:interfaces"]["interface"][0]\
["ietf-ip:ipv6"]["address"][0]["prefix-length"] = 666
try:
data = c.parse_data(json.dumps(wrong),
ly.DataFormat.JSON, ly.ParseOptions.Strict | ly.ParseOptions.Ordered,
ly.ValidationOptions.Present | ly.ValidationOptions.NoState)
assert False
except ly.Error:
for error in c.errors():
assert error.path == "Schema location \"/ietf-interfaces:interfaces/interface/ietf-ip:ipv6/address/prefix-length\", data location \"/ietf-ip:address[ip='::1']\", line number 1."
assert error.message == 'Value "666" is out of type uint8 min/max bounds.'
```
## Installing
We're producing wheels for many popular platforms.
The installation is as simple as:
```console-session
$ pip install oopt-gnpy-libyang
```
### Building from source
Since this library is a Python wrapper around a C++ wrapper around a C library, source-based builds are more complex.
They require:
- a C++20 compiler (e.g., GCC 10+, clang 10+, MSVC 17.2+)
- [`libyang`](https://github.com/CESNET/libyang) and its dependencies
- [`libyang-cpp`](https://github.com/CESNET/libyang-cpp/) and its dependencies
- [CMake](https://cmake.org/) 3.21+
Unlike the wheels already bundle all the required libraries, when building from source, `libyang`, `libyang-cpp` and all their dependencies will have to be installed first.
Also, in a from-source build these won't be bundled into the resulting package.
For an inspiration, consult our [GitHub packaging recipes](./.github/workflows/ci.yaml).
## License
Copyright © 2021-2023 Telecom Infra Project and GNPy contributors.
Licensed under the [3-clause BSD license](LICENSE).
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"description": "# Opinionated Python bindings for the `libyang` library\n\n[](https://pypi.org/project/oopt-gnpy-libyang/)\n[](https://pypi.org/project/oopt-gnpy-libyang/)\n[](https://github.com/Telecominfraproject/oopt-gnpy-libyang/actions/workflows/ci.yaml)\n\nPython bindings and packaging of [`libyang`](https://github.com/CESNET/libyang).\nWe're focusing on parsing, validating and accessing YANG-modeled JSON data trees.\nEssentially, just enough to get [`gnpy`](https://github.com/Telecominfraproject/oopt-gnpy) going.\nWant more?\nPatches welcome.\n\nCompared to the [CFFI libyang bindings](https://github.com/CESNET/libyang-python), this wrapper takes care of low-level memory management.\nThis means no more `node.free()` and `ctx.destroy()`.\nWe also produce prebuilt binary [wheels](https://realpython.com/python-wheels/) to make installation very simple.\n\n## Usage\n\n### Loading YANG data\n\n```python\nimport oopt_gnpy_libyang as ly\n\nc = ly.Context('tests/yang', ly.ContextOptions.AllImplemented | ly.ContextOptions.NoYangLibrary)\nfor m in ('iana-if-type', 'ietf-interfaces', 'ietf-ip'):\n c.load_module(m)\nblob = '''{\n \"ietf-interfaces:interfaces\": {\n \"interface\": [\n {\n \"name\": \"lo\",\n \"type\": \"iana-if-type:softwareLoopback\",\n \"ietf-ip:ipv4\": {\n \"address\": [\n {\n \"ip\": \"127.0.0.1\",\n \"prefix-length\": 8\n }\n ]\n },\n \"ietf-ip:ipv6\": {\n \"address\": [\n {\n \"ip\": \"::1\",\n \"prefix-length\": 128\n }\n ]\n }\n },\n {\n \"name\": \"eth0\",\n \"type\": \"iana-if-type:ethernetCsmacd\"\n }\n ]\n }\n}'''\n\ndata = c.parse_data(blob,\n ly.DataFormat.JSON, ly.ParseOptions.Strict | ly.ParseOptions.Ordered,\n ly.ValidationOptions.Present | ly.ValidationOptions.NoState)\n```\n### Working with data\n\nLibyang works with forests (sets of trees), this is how to process all the data:\n```python\nfor x in data.siblings():\n print(f'a sibling: {x.path}')\n for xx in x.children_dfs():\n print(f' {\"term \" if xx.is_term else \"child\"}: {xx.path}')\n if xx.is_term:\n print(f' {xx.as_term()} {\" (default)\" if xx.as_term().is_default_value else \"\"}')\n```\nData can be accessed via their known paths, of course. Either as a full, multi-level XPath:\n\n```python\ndata[\"interface[name='lo']/ietf-ip:ipv6/address[ip='::1']/prefix-length\"].as_term().value == 128\n```\nOr individually, one item per index:\n```python\ndata[\"interface[name='lo']\"][\"ietf-ip:ipv6\"][\"address[ip='::1']\"][\"prefix-length\"].as_term().value\n```\nEverything is an XPath, so it's possible to take a shortcut and skip specifying keys for single-element lists:\n```python\ndata[\"interface[name='lo']\"][\"ietf-ip:ipv6\"][\"address\"][\"prefix-length\"].as_term().value == 128\n```\nThe data are provided as native Python types:\n```python\ntype(data[\"interface[name='lo']\"][\"ietf-ip:ipv6\"][\"address\"][\"prefix-length\"]\n .as_term().value) == int\n```\nAbsolute paths and generic XPath expressions can be used to retrieve arbitrary parts of the data forest, and to iterate over them:\n```python\nfor iface in data.find(\"/ietf-interfaces:interfaces/interface\"):\n print iface[\"name\"].as_term().value\n```\nRelative XPath conditions can be also used at the root level (which is represented as NULL in the C level):\n```python\nfor iface in search_at_root(data)(\"ietf-interfaces:interfaces/interface\"):\n print iface[\"name\"].as_term().value\n```\nNew values can be created; use `None` for non-terminals, or `str` when a value is needed:\n```python\nnode = ctx.create(\"/ietf-interfaces:interfaces/interface[name='666']\")\nanother = ctx.create(\"/ietf-interfaces:interfaces/interface[name='666']/ietf-ip:ipv6/enabled\", \"true\")\ndata[\"interface[name='lo']\"][\"ietf-ip:ipv6\"][\"address\"][\"prefix-length\"] = \"64\"\n```\n\n### Validation errors\nIn libyang, if an operation fails, error details are available via `context.errors()`:\n```python\nimport json\nwrong = json.loads(blob)\nwrong[\"ietf-interfaces:interfaces\"][\"interface\"][0]\\\n [\"ietf-ip:ipv6\"][\"address\"][0][\"prefix-length\"] = 666\ntry:\n data = c.parse_data(json.dumps(wrong),\n ly.DataFormat.JSON, ly.ParseOptions.Strict | ly.ParseOptions.Ordered,\n ly.ValidationOptions.Present | ly.ValidationOptions.NoState)\n assert False\nexcept ly.Error:\n for error in c.errors():\n assert error.path == \"Schema location \\\"/ietf-interfaces:interfaces/interface/ietf-ip:ipv6/address/prefix-length\\\", data location \\\"/ietf-ip:address[ip='::1']\\\", line number 1.\"\n assert error.message == 'Value \"666\" is out of type uint8 min/max bounds.'\n```\n\n## Installing\n\nWe're producing wheels for many popular platforms.\nThe installation is as simple as:\n```console-session\n$ pip install oopt-gnpy-libyang\n```\n\n### Building from source\n\nSince this library is a Python wrapper around a C++ wrapper around a C library, source-based builds are more complex.\nThey require:\n\n- a C++20 compiler (e.g., GCC 10+, clang 10+, MSVC 17.2+)\n- [`libyang`](https://github.com/CESNET/libyang) and its dependencies\n- [`libyang-cpp`](https://github.com/CESNET/libyang-cpp/) and its dependencies\n- [CMake](https://cmake.org/) 3.21+\n\nUnlike the wheels already bundle all the required libraries, when building from source, `libyang`, `libyang-cpp` and all their dependencies will have to be installed first.\nAlso, in a from-source build these won't be bundled into the resulting package.\nFor an inspiration, consult our [GitHub packaging recipes](./.github/workflows/ci.yaml).\n\n## License\n\nCopyright \u00a9 2021-2023 Telecom Infra Project and GNPy contributors.\nLicensed under the [3-clause BSD license](LICENSE).\n",
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