Broadband Forum (BBF) Data Model Report Tool
Project description
Broadband Forum (BBF) Data Model Report Tool
Note: The v2+ version might suggest that the tool is mature, but the v2 label is just to distinguish it from the earlier report.pl tool. APIs are still liable to minor change, and will probably continue to do so until v3.
The BBF Report Tool processes one or more Data Model (DM) XML files. Having read the files, it always performs various "lint" checks, and then it optionally generates an output format, e.g., "full" XML (a single file in which all imports have been resolved) or markdown (which can be converted to HTML by pandoc).
The tool requires at least python 3.9, and can be installed from PyPI. It replaces an earlier report.pl tool.
Quick start
Ensure you have at least python 3.9, and install the tool from PyPI.
% python -m pip install bbfreport
The report.py
command should now work.
% report.py -v
Broadband Forum bbfreport v2.0.1 (2023-06-27 version)
You'll probably want to download some data models.
% git clone https://github.com/BroadbandForum/usp-data-models.git
(These are the USP data models. The CWMP data models are in the
cwmp-data-models
repository.)
Now you can run the tool, e.g., here we're running it on the USP version of the latest TR-181 (Device:2) model.
-I
(--include
) indicates where to look for DM XML files-l
(--loglevel
) is here used to suppress warnings (there are some warnings, because the tool has improved since the data model was published)
% report.py -I usp-data-models -l error tr-181-2-usp.xml
To generate output, give an output format.
-f
(--format
) indicates the output format-o
(--output
) specifies the output file
% report.py -I usp-data-models -l error tr-181-2-usp.xml -f xml -o tr-181-2-usp-full.xml
Note: Direct HTML generation isn't yet supported. It's currently necessary to generate markdown and then run it through pandoc to generate the HTML.
Unfortunately, report.py -h
(--help
) doesn't yet list all the available
formats (new-style formats aren't listed), e.g., it doesn't list the
markdown
format.
How it works
Here's an outline of what the tool does.
Process the command line arguments.
Create an empty node tree.
For each DM file specified on the command line:
Parse the file using the specified parser (default: expat).
(this updates the node tree)
For each specified transform (default: [used, lint]):
Transform the node tree.
Output the specified format (default: null).
The node tree (deliberately) has the same structure as the DM XML files,
e.g., Xml_file
nodes have Dm_document
children, which have
Description
, DataType
, Component
and Model
children; and Model
nodes have Object
, Parameter
, Command
, Event
and Profile
children; and so on.
The used
transform traverses the node tree and determines which data
types, bibliographic references etc. are actually used. If they're not
used then, unless overridden by -A
(--all
), they're excluded from the
output.
The lint
transform traverses the node tree and performs a large number of
"lint" checks that (as far as possible) check that the TR-106 rules and
best practices are being followed.
Any transforms specified on the command-line via -t
(--transform
) are
run before the used
and lint
transforms.
Searching for DM XML files
DM XML files (if they don't specify the directory) are always searched for
in the current directory (unless suppressed by -C
/ --nocurdir
) and
(recursively) in the directories listed via the -I
(--include
) option.
File names of the (conventional) form tr-nnn-i-a-c-label.xml
can omit
-c
, -a-c
or -i-a-c
, in which case the latest matching version will
be used.
Note:
i
,a
andc
stand forIssue
,Amendment
andCorrigendum
respectively. You can think of them as major, minor and patch versions.
Most files (all except for the files specified on the command-line) are
accessed via an import
statement such as this one:
<import file="tr-181-2-softwaremodules.xml"
spec="urn:broadband-forum-org:tr-181-2-17-softwaremodules">
<component name="SMDUNetworkConfig"/>
</import>
If the import
statement has a spec
attribute then a file with a
matching spec
will be searched for. Here the spec specifies i
and a
,
so they must match exactly, but it omits c
, so the latest c
will be
returned.
Transforms and Formats
Transforms and formats are written in similar ways, but (as already explained) they have different purposes.
There are two ways to write transforms and formats. The old way is to
write a class that derives from Transform
or Format
, and the new (much
easier) way is to write various "magic" functions whose names indicate the
type of node for which they are to be called.
Suppose you want to write a transform that checks whether any object,
parameter etc. names start with lower-case letters. You can create this
lower.py
file.
def visit__model_item(node, logger):
if node.name[0].islower():
logger.info('%s %s' % (node.version_inherited, node.nicepath))
There are several things to note here:
- You have to know something about the node class hierarchy, which is
defined in
node.py
, and how the class names map tovisit_xxx()
function names - In this case,
_ModelItem
is a base class forModel
,Object
,Parameter
,Command
,Event
andProfile
- To generate the function name, the
_ModelItem
class name has underscores inserted between lower/upper transitions, is converted to lowercase, and is prefixed withvisit_
to givevisit__model_item
(two underscores, because the class name starts with an underscore) - The function's first argument is always the node, and other arguments are
optional (but selected from a predefined set). Here, the
logger
argument is a ready-to-use logger instance. You could also (for example) have provided anargs
argument if you needed to access the command-line arguments - You also have to know something about the node attributes. As already
mentioned, they are very similar to the XML, so for example
node.name
is the name, andnode.version
is the version... but it's the actualversion
attribute, which might need to be inherited from the node's parent, so that's why we usenode.version_inherited
. We also usenode.nicepath
, and you couldn't have guessed this - For more information you'll have to refer to the code or to the code documentation (once it's available)
You can then run the tool like this:
% report.py -I usp-data-models tr-181-2-usp.xml -P . -t lower -l 1 -L lower
The options (some of which are new) are as follows:
-I
(--include
) indicates where to look for DM XML files-P
(--plugindir
) indicates where to search for transforms and formats-t
(--transform
) says which transform to run (there could be several)-l
(--loglevel
) is the log level;1
is the same asinfo
-L
(--loggername
) is the logger name; only the top-levelreport
logger is initially enabled
Here's the output:
INFO:report:processing 'tr-181-2-usp.xml'
INFO:report:processed 'tr-181-2-usp.xml' in 5286 ms
INFO:report:performing 'lower' transform
INFO:lower:2.15 Device.WiFi.<omitted>.bSTAMACAddress
INFO:lower:2.17 Device.WiFi.<omitted>.bSTAMLDMaxLinks
INFO:lower:2.17 Device.WiFi.<omitted>.bSTAMACAddress
INFO:report:performed 'lower' transform in 366 ms
INFO:report:performing 'used' transform
INFO:report:performed 'used' transform in 1327 ms
INFO:report:performing 'lint' transform
INFO:report:performed 'lint' transform in 3944 ms
INFO:report:generating 'null' format
INFO:report:generated 'null' format in 0 ms
Log levels and loggers
The -l
(--loglevel
) option sets the log level to one of the
following.
Value | Description |
---|---|
none |
No log messages are output |
fatal |
Only fatal errors are output |
error |
Only fatal and ordinary errors are output |
warning or 0 |
All errors and warnings are output (default) |
info or 1 |
Errors and warnings and info messages are output |
debug or 2 |
As above plus debug messages |
As a rule of thumb, info messages should be of interest to all users of the tool, but debug messages are likely to be only of interest to people trying to work out what's gone wrong.
For info and debug messages, just setting the log level isn't enough. You
have to use the -L
(--loggername
) option to enable the loggers of
interest. Only the top-level report
logger is always enabled.
The logger name is the python module name, e.g., the lint transform's logger name is `lint. Here's an example.
% report.py -I usp-data-models tr-140-1-usp.xml -l 1 -L lint -L used
INFO:report:processing 'tr-140-1-usp.xml'
INFO:report:processed 'tr-140-1-usp.xml' in 195 ms
INFO:report:performing 'used' transform
INFO:report:performed 'used' transform in 100 ms
INFO:report:performing 'lint' transform
INFO:lint:StorageService.{i}.StorageArray.{i}.:
list-valued unique key parameter PhysicalMediumReference
INFO:lint:StorageService.{i}.StorageArray.{i}.Alias:
list-valued unique key parameter PhysicalMediumReference
INFO:report:performed 'lint' transform in 115 ms
INFO:report:generating 'null' format
INFO:report:generated 'null' format in 0 ms
Running pandoc
The report tool doesn't yet generate HTML directly. To generate HTML, use the
markdown
format to generate markdown, and then run pandoc to generate HTML.
The markdown
format generates an extended version of commonmark
(referred to as commonmark_x). To process it, you need to install the
following:
-
pandoc 3.0 or later: This might already be installed, or you might be able to install it using the OS package manager. If not, you can get it from https://github.com/jgm/pandoc/releases
-
list-table filter: Get this from https://github.com/pandoc-ext/list-table
-
logging library: Get this from https://github.com/pandoc-ext/logging
-
custom HTML writer: Get this from https://github.com/BroadbandForum/pandoc-html-writer
Assuming that you've already installed pandoc, and that you want to process
model.md
, you can do this:
% git clone https://github.com/pandoc-ext/list-table Cloning into 'list-table'... ... % ln -s list-table/list-table.lua
% git clone https://github.com/pandoc-ext/logging Cloning into 'logging'... ... % ln -s logging/logging.lua
% git clone https://github.com/BroadbandForum/pandoc-html-writer Cloning into 'pandoc-html-writer'... ... % ln -s pandoc-html-writer/html-writer.lua % ln -s pandoc-html-writer/html-derived-writer.lua
% report.py model.xml --format markdown --output model.md
% pandoc model.md --standalone --from commonmark_x --lua-filter list-table.lua --to html-derived-writer.lua --output model.html
Refer to the pandoc documentation for more information, e.g., on how to avoid the need for the soft links.
Notes
- The distribution doesn't contain any sample DM instances, so you have to download some data models before you can usefully use the tool
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