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.. include:: /includes/_links.rst
Further Development
-------------------
Although PySNMP is already a mature software and it is being used at many
places, the ultimate goal of the project is to implement most of the useful
features that SNMP standards can offer. What follows is a list of most
prominent missing features that PySNMP developers are planning to put their
hands on in the future.
PySNMP library
++++++++++++++
#. Built-in MIB parser. PySNMP uses a data model of its own to work with
information contained in MIB files. To convert ASN.1-based MIB texts
into Python modules, an off-line, third-party tool is employed. As it
turns out, this approach has two major drawback: one is that PySNMP
users may need to pre-process MIB texts to use them with their
PySNMP-based applications. Another is that LibSMI's Python driver
seems to miss some information carried by MIBs. Thus the solution would
be to write another MIB parser and code generator which would produce
PySNMP compliant Python code right from MIB text files all by itself.
**Done:** see `PySMI`_ project in conjunction with the latest PySNMP codebase.
#. Reverse MIB index. The variable-bindings received by the system whilst
in Manager role could be post-processed using the information kept in
MIB files to include human-friendly OIDs names, tables indices and
values representation. However, there is currently no provisioning in
the PySNMP system for locating and loading up MIB files containing
additional information on arbitrary OIDs. So the idea is to maintain
an OID-to-MIB index to let PySNMP load relevant MIB automatically on
demand.
#. Stream sockets support. Currently, PySNMP transport subsystem only
supports datagram-type network sockets. That covers UDP-over-IPv4 and
UDP-over-IPv6. However, SNMP engine can potentially run over
stream-oriented protocols what would let it support TCP-over-IPv4,
TCP-over-IPv6 and SSL/TSL transports. Neither of these is currently
implemented with PySNMP.
#. AgentX implementation. We anticipate many uses of this. For instance,
having AgentX protocol support in pure-Python would let us write AgentX
modules in pure-Python and attach them to high-performance Net-SNMP
Agent. Or we could build and maintain a fully-featured, stand-alone
PySNMP-based Agent so that users would write their own AgentX extensions
what would comprise a complete SNMP Agent solution at lesser effort.
#. A DBMS-based SMI. Currently implemented SMI takes shape of live Python
objects that let user hook up his own handler on any existing Managed
Object Instance. That's flexible and working approach in many cases,
however sometimes, for instance when Management Instrumentation is
inherently DBMS-based, it may be more efficient to move the entire
SMI/MIB subsystem into a database. PySNMP engine would talk to it
through its simple and well defined SMI API.
#. Agent-Side Functionality. PySNMP has never offered a complete or
production-grade SNMP agent implementation. Agent-side APIs and examples
are provided as-is, with no guarantee of completeness or ongoing feature
development. Agent functionality is only maintained as needed for
PySNMP's own unit tests and for compatibility with snmpsim.
Stand-alone PySNMP-based tools
++++++++++++++++++++++++++++++
#. SNMP Proxy Forwarder. That would be a stand-alone, application-level
proxy service supporting all SNMP versions, multiple network transports,
Command and Notification SNMP message types. Its anticipated features
include extensive configuration facilities, fine-grained access
control and logging.
**Done:** see `SNMP Proxy Forwarder`_.
#. SNMP Trap Receiver. We see this application as a simple yet flexible
SNMP TRAP collector. It would listen on network sockets of different
types receiving SNMP TRAP/INFORM notifications over any SNMP version
and putting all the details into a database and possibly triggering
external events.
**Partially implemented:** Basic trap receiving functionality is
available in the unit test cases.
#. Container-based deployment solutions. With the rise of containerization
technologies like Docker and Kubernetes, providing official container images
and deployment templates would make PySNMP more accessible for modern
infrastructure environments, especially for the standalone tools like
SNMP Simulator and SNMP Proxy Forwarder.
**Partially implemented:** Docker images are available for `the SNMP
Simulator on GitHub <https://github.com/lextudio/docker-snmpsim>`_.
#. Database backend for SNMP Simulator. We have already built a tool for
simulating SNMP Agents based on a snapshot of their Management
Instrumentation state. Current implementation uses a plain-text file
for keeping and possibly managing the snapshot. Many users of the
Simulator software requested a value variation feature to be supported
so that simulated Agents would look live, not static. We consider this
variation and also dependencies features would be best implemented as
a relational database application. So we are planning to put some more
efforts into the Simulator project as time permits.
**Done:** since `snmpsim`_ 0.2.4.
If you need some particular feature, please open a feature request via a
`GitHub issue`_. Once we see a greater demand in particular area, we would
re-arrange our development resources to meet it sooner.
You can help speed up the development of a particular feature by
sponsoring it or contributing code yourself. Please contact `LeXtudio Inc.`_
to discuss sponsorship details or submit pull requests on GitHub.
Related Resources
-----------------
- `Support Options`_
- :doc:`/quick-start`
- :doc:`/troubleshooting`
- :doc:`/faq/index`
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