Snimpy: interactive SNMP tool

Snimpy is a Python-based tool providing a simple interface to build SNMP query. Here is a very simplistic example that allows us to display the routing table of a given host:

load("IP-FORWARD-MIB")
m=M("localhost", "public", 2)
routes = m.ipCidrRouteNextHop
for x in routes:
    net, netmask, tos, src = x
    print("%15s/%-15s via %-15s src %-15s" % (net, netmask, routes[x], src))

You can either use Snimpy interactively throught its console (derived from Python own console or from IPython if available) or write Snimpy scripts which are just Python scripts with some global variables available.

Why another tool?

There are a lot of SNMP tools available but most of them have important drawback when you need to reliably automatize operations.

snmpget, snmpset and snmpwalk are difficult to use in scripts. Errors are printed on standard output and there is no easy way to tell if the command was successful or not. Moreover, results can be multiline (a long HexString for example). At least, automatisation is done through the shell and OID or bit manipulation are quite difficult.

Net-SNMP provides officiel bindings for Perl and Python. Unfortunately, the integration is quite poor. You don’t have an easy way to load and browse MIBs and error handling is inexistant. For example, the Python bindings will return None for a non-existant OID. Having to check for this on each request is quite cumbersome.

For Python, there are other bindings. For example, pysnmp provides a pure Python implementation. However, MIBs need to be compiled. Moreover, the exposed interface is still low-level. Sending a simple SNMP GET can either take 10 lines or one line wrapped into 10 lines.

The two main points of Snimpy are:

  • very high-level interface relying on MIBs
  • raise exceptions when something goes wrong

Meantime, another Pythonic SNMP library based on Net-SNMP has been released: Easy SNMP. Its interface is a less Pythonic than Snimpy but it doesn’t need MIBs to work.

Contents

Installation

At the command line:

$ easy_install snimpy

Or, if you have virtualenvwrapper installed:

$ mkvirtualenv snimpy
$ pip install snimpy

Snimpy requires libsmi, a library to access SMI MIB information. You need to install both the library and the development headers. If Snimpy complains to not find smi.h, you can help by specifying where this file is located by exporting the appropriate environment variable:

$ export C_INCLUDE_PATH=/opt/local/include

On Debian/Ubuntu, you can install libsmi with:

$ sudo apt-get install libsmi2-dev

On RedHat and similar, you can use:

$ sudo yum install libsmi-devel

On OS X, if you are using homebrew, you can use:

$ brew install libsmi

On Debian and Ubuntu, Snimpy is also available as a package you can install with:

$ sudo apt-get install snimpy

Usage

Invocation

There are three ways to use Snimpy:

  1. Interactively through a console.
  2. As a script interpreter.
  3. As a regular Python module.
Interactive use

Snimpy can be invoked with either snimpy or python -m snimpy. Without any other arhument, the interactive console is spawned. Otherwise, the given script is executed and the remaining arguments are served as arguments for the script.

When running interactively, you get a classic Python environment. There are two additional objects available:

  • The load() method that takes a MIB name or a path to a filename. The MIB will be loaded into memory and made available in all SNMP managers:

    load("IF-MIB")
load("/usr/share/mibs/ietf/IF-MIB")

  • The M class which is used to instantiate a manager (a SNMP client):

    m = M()
m = M(host="localhost", community="private", version=2)
m = M("localhost", "private", 2)
m = M(community="private")
m = M(version=3,
      secname="readonly",
      authprotocol="MD5", authpassword="authpass",
      privprotocol="AES", privpassword="privpass")

A manager instance contains all the scalars and the columns in MIB loaded with the load() method. There is no table, node or other entities. For a scalar, getting and setting a value is a simple as:

print(m.sysDescr)
m.sysName = "newhostname"

For a column, you get a dictionary-like interface:

for index in m.ifTable:
    print(repr(m.ifDescr[index]))
m.ifAdminStatus[3] = "down"

If you care about efficiency, note that the above snippet will walk the table twice: once to retrieve the index to loop over and once to retrieve the values. This could be avoided with:

for index, value in m.ifDescr.iteritems():
    print(repr(value))

Furthermore, you can pass partial index values to iteritems() to limit walked table rows to a specific subset:

for index, value in m.ipNetToMediaPhysAddress.iteritems(10):
    print(repr(value))

If you don’t need values you can use subscript syntax for this as well:

for index in m.ipNetToMediaPhysAddress[10]:
    print(repr(index))

Another way to avoid those extra SNMP requests is to enable the caching mechanism which is disabled by default:

import time
m = M("localhost", cache=True)
print(m.sysUpTime)
time.sleep(1)
print(m.sysUpTime)
time.sleep(1)
print(m.sysUpTime)
time.sleep(10)
print(m.sysUpTime)

You can also specify the number of seconds data should be cached:

m = M("localhost", cache=20)

Also note that iterating over a table require an accessible index. Old MIB usually have accessible indexes. If this is not the case, you’ll have to iterate on a column instead. For example, the first example could be written as:

for index in m.ifDescr:
    print(repr(m.ifDescr[index]))

If you want to group several write into a single request, you can do it with with keyword:

with M("localhost", "private") as m:
    m.sysName = "toto"
    m.ifAdminStatus[20] = "down"

It’s also possible to set a custom timeout and a custom value for the number of retries. For example, to wait 2.5 seconds before timeout occurs and retry 10 times, you can use:

m = M("localhost", timeout=2.5, retries=10)

Snimpy will stop on any error with an exception. This allows you to not check the result at each step. Your script can’t go awry. If this behaviour does not suit you, it is possible to suppress exceptions when querying inexistant objects. Instead of an exception, you’ll get None:

m = M("localhost", none=True)

If for some reason, you need to specify the module you want to use to lookup a node, you can do that using the following syntax:

print(m['SNMPv2-MIB'].sysDescr)
print(m['IF-MIB'].ifNumber)
Script interpreter

Snimpy can be run as a script interpreter. There are two ways to do this. The first one is to invoke Snimpy and provide a script name as well as any argument you want to pass to the script:

$ snimpy example-script.py arg1 arg2
$ python -m snimpy example-script.py arg1 arg2

The second one is to use Snimpy as a shebang interpreter. For example, here is a simple script:

#!/usr/bin/env snimpy

load("IF-MIB")
m = M("localhost")
print(m.ifDescr[0])

The script can be invoked as any shell script.

Inside the script, you can use any valid Python code. You also get the load() method and the M class available, like for the interactive use.

Regular Python module

Snimpy can also be imported as a regular Python module:

from snimpy.manager import Manager as M
from snimpy.manager import load

load("IF-MIB")
m = M("localhost")
print(m.ifDescr[0])

About “major SMI errors”

If you get an exception like RAPID-CITY contains major SMI errors (check with smilint -s -l1), this means that there are some grave errors in this MIB which may lead to segfaults if the MIB is used as is. Usually, this means that some identifier are unknown. Use smilint -s -l1 YOUR-MIB to see what the problem is and try to solve all problems reported by lines beginning by [1].

For example:

$ smilint -s -l1 rapid_city.mib
rapid_city.mib:30: [1] failed to locate MIB module `IGMP-MIB'
rapid_city.mib:32: [1] failed to locate MIB module `DVMRP-MIB'
rapid_city.mib:34: [1] failed to locate MIB module `IGMP-MIB'
rapid_city.mib:27842: [1] unknown object identifier label `igmpInterfaceIfIndex'
rapid_city.mib:27843: [1] unknown object identifier label `igmpInterfaceQuerier'
rapid_city.mib:27876: [1] unknown object identifier label `dvmrpInterfaceIfIndex'
rapid_city.mib:27877: [1] unknown object identifier label `dvmrpInterfaceOperState'
rapid_city.mib:27894: [1] unknown object identifier label `dvmrpNeighborIfIndex'
rapid_city.mib:27895: [1] unknown object identifier label `dvmrpNeighborAddress'
rapid_city.mib:32858: [1] unknown object identifier label `igmpCacheAddress'
rapid_city.mib:32858: [1] unknown object identifier label `igmpCacheIfIndex'

To solve the problem here, load IGMP-MIB and DVMRP-MIB before loading rapid_city.mib. IGMP-MIB should be pretty easy to find. For DVMRP-MIB, try Google.

Download it and use smistrip to get the MIB. You can check that the problem is solved with this command:

$ smilint -p ../cisco/IGMP-MIB.my -p ./DVMRP-MIB -s -l1 rapid_city.mib

You will get a lot of errors in IGMP-MIB and DVMRP-MIB but no line with [1]: everything should be fine. To load rapid_city.mib, you need to do this:

load("../cisco/IGMP-MIB.my")
load("./DVMRP-MIB")
load("rapid_city.mib")

API reference

While Snimpy is targeted at being used interactively or through simple scripts, you can also use it from your Python program.

It provides a high-level interface as well as lower-level ones. However, the effort is only put in th manager module and other modules are considered as internal details.

manager module

This module is the high-level interface to Snimpy. It exposes Manager class to instantiate a new manager (which is an SNMP client). This is the preferred interface for Snimpy.

Here is a simple example of use of this module:

>>> load("IF-MIB")
>>> m = Manager("localhost")
>>> m.ifDescr[1]
<String: lo>
class snimpy.manager.Manager(host='localhost', community='public', version=2, cache=False, none=False, timeout=None, retries=None, loose=False, bulk=40, secname=None, authprotocol=None, authpassword=None, privprotocol=None, privpassword=None)[source]

SNMP manager. An instance of this class will represent an SNMP manager (client).

When a MIB is loaded with load(), scalars and row names from it will be made available as an instance attribute. For a scalar, reading the corresponding attribute will get its value while setting it will allow to modify it:

>>> load("SNMPv2-MIB")
>>> m = Manager("localhost", "private")
>>> m.sysContact
<String: root>
>>> m.sysContact = "Brian Jones"
>>> m.sysContact
<String: Brian Jones>

For a row name, the provided interface is like a Python dictionary. Requesting an item using its index will retrieve the value from the agent (the server):

>>> load("IF-MIB")
>>> m = Manager("localhost", "private")
>>> m.ifDescr[1]
<String: lo>
>>> m.ifName[1] = "Loopback interface"

Also, it is possible to iterate on a row name to get all available values for index:

>>> load("IF-MIB")
>>> m = Manager("localhost", "private")
>>> for idx in m.ifDescr:
...     print(m.ifDescr[idx])

You can get a slice of index values from a table by iterating on a row name subscripted by a partial index:

>>> load("IF-MIB")
>>> m = Manager("localhost", "private")
>>> for idx in m.ipNetToMediaPhysAddress[1]:
...     print(idx)
(<Integer: 1>, <IpAddress: 127.0.0.1>)

You can use multivalue indexes in two ways: using Pythonic multi-dimensional dict syntax, or by providing a tuple containing index values:

>>> load("IF-MIB")
>>> m = Manager("localhost", "private")
>>> m.ipNetToMediaPhysAddress[1]['127.0.0.1']
<String: aa:bb:cc:dd:ee:ff>
>>> m.ipNetToMediaPhysAddress[1, '127.0.0.1']
<String: aa:bb:cc:dd:ee:ff>

A context manager is also provided. Any modification issued inside the context will be delayed until the end of the context and then grouped into a single SNMP PDU to be executed atomically:

>>> load("IF-MIB")
>>> m = Manager("localhost", "private")
>>> with m:
...     m.ifName[1] = "Loopback interface"
...     m.ifName[2] = "First interface"

Any error will be turned into an exception:

>>> load("IF-MIB")
>>> m = Manager("localhost", "private")
>>> m.ifDescr[999]
Traceback (most recent call last):
    ...
SNMPNoSuchName: There is no such variable name in this MIB.
snimpy.manager.load(mibname)[source]

Load a MIB in memory.

Parameters:mibname (str) – MIB name or filename

mib module

This module is a low-level interface to manipulate and extract information from MIB files. It is a CFFI wrapper around libsmi. You may find convenient to use it in other projects but the wrapper is merely here to serve Snimpy use and is therefore incomplete.

class snimpy.mib.Column(node)[source]

MIB column node. This class represent a column of a table.

table

Get table associated with this column.

Returns:The Table instance associated to this column.
class snimpy.mib.Node(node)[source]

MIB node. An instance of this class represents a MIB node. It can be specialized by other classes, like Scalar, Table, Column, Node.

enum

Get possible enum values. When the node can only take a discrete number of values, those values are defined in the MIB and can be retrieved through this property.

Returns:The dictionary of possible values keyed by the integer value.
fmt

Get node format. The node format is a string to use to display a user-friendly version of the node. This is can be used for both octet strings or integers (to make them appear as decimal numbers).

Returns:The node format as a string or None if there is no format available.
oid

Get OID for the current node. The OID can then be used to request the node from an SNMP agent.

Returns:OID as a tuple
ranges

Get node ranges. An node can be restricted by a set of ranges. For example, an integer can only be provided between two values. For strings, the restriction is on the length of the string.

The returned value can be None if no restriction on range exists for the current node, a single value if the range is fixed or a list of tuples or fixed values otherwise.

Returns:The valid range for this node.
type

Get the basic type associated with this node.

Returns:The class from basictypes module which can represent the node. When retrieving a valid value for this node, the returned class can be instanciated to get an appropriate representation.
typeName

Retrieves the name of the the node’s current declared type (not basic type).

Returns:A string representing the current declared type, suitable for assignment to type.setter.
exception snimpy.mib.SMIException[source]

SMI related exception. Any exception thrown in this module is inherited from this one.

class snimpy.mib.Scalar(node)[source]

MIB scalar node. This class represents a scalar value in the MIB. A scalar value is a value not contained in a table.

class snimpy.mib.Table(node)[source]

MIB table node. This class represents a table. A table is an ordered collection of objects consisting of zero or more rows. Each object in the table is identified using an index. An index can be a single value or a list of values.

columns

Get table columns. The columns are the different kind of objects that can be retrieved in a table.

Returns:list of table columns (Column instances)
implied

Is the last index implied? An implied index is an index whose size is not fixed but who is not prefixed by its size because this is the last index of a table.

Returns:True if and only if the last index is implied.
index

Get indexes for a table. The indexes are used to locate a precise row in a table. They are a subset of the table columns.

Returns:The list of indexes (as Column instances) of the table.
snimpy.mib.get(mib, name)[source]

Get a node by its name.

Parameters:
  • mib – The MIB name to query
  • name – The object name to get from the MIB
Returns:

the requested MIB node (Node)
snimpy.mib.getByOid(oid)[source]

Get a node by its OID.

Parameters:oid – The OID as a tuple
Returns:The requested MIB node (Node)
snimpy.mib.getColumns(mib)[source]

Return all columns from a givem MIB.

Parameters:mib – The MIB name
Returns:The list of all columns for the MIB
Return type:list of Column instances
snimpy.mib.getNodes(mib)[source]

Return all nodes from a given MIB.

Parameters:mib – The MIB name
Returns:The list of all MIB nodes for the MIB
Return type:list of Node instances
snimpy.mib.getScalars(mib)[source]

Return all scalars from a given MIB.

Parameters:mib – The MIB name
Returns:The list of all scalars for the MIB
Return type:list of Scalar instances
snimpy.mib.getTables(mib)[source]

Return all tables from a given MIB.

Parameters:mib – The MIB name
Returns:The list of all tables for the MIB
Return type:list of Table instances
snimpy.mib.load(mib)[source]

Load a MIB into the library.

Parameters:mib – The MIB to load, either a filename or a MIB name.
Returns:The MIB name that has been loaded.
Raises SMIException:
 The requested MIB cannot be loaded.
snimpy.mib.loadedMibNames()[source]

Generates the list of loaded MIB names.

Yield:The names of all currently loaded MIBs.
snimpy.mib.path(path=None)[source]

Set or get a search path to libsmi.

When no path is provided, return the current path, unmodified. Otherwise, set the path to the specified value.

Parameters:path – The string to be used to change the search path or None
snimpy.mib.reset()[source]

Reset libsmi to its initial state.

snmp module

This module is a low-level interface to build SNMP requests, send them and receive answers. It is built on top of pysnmp but the exposed interface is far simpler. It is also far less complete and there is an important dependency to the basictypes module for type coercing.

exception snimpy.snmp.SNMPException[source]

SNMP related base exception. All SNMP exceptions are inherited from this one. The inherited exceptions are named after the name of the corresponding SNMP error.

class snimpy.snmp.Session(host, community='public', version=2, secname=None, authprotocol=None, authpassword=None, privprotocol=None, privpassword=None, bulk=40)[source]

SNMP session. An instance of this object will represent an SNMP session. From such an instance, one can get information from the associated agent.

bulk

Get bulk settings.

Returns:False if bulk is disabled or a non-negative integer for the number of repetitions.
get(*oids)[source]

Retrieve an OID value using GET.

Parameters:oids – a list of OID to retrieve. An OID is a tuple.
Returns:a list of tuples with the retrieved OID and the raw value.
retries

Get number of times a request is retried.

Returns:Number of retries for each request.
set(*args)[source]

Set an OID value using SET. This function takes an odd number of arguments. They are working by pair. The first member is an OID and the second one is basictypes.Type instace whose pack() method will be used to transform into the appropriate form.

Returns:a list of tuples with the retrieved OID and the raw value.
timeout

Get timeout value for the current session.

Returns:Timeout value in microseconds.
walk(*oids)[source]

Walk from given OIDs but don’t return any “extra” results. Only results in the subtree will be returned.

Parameters:oid – OIDs used as a start point
Returns:a list of tuples with the retrieved OID and the raw value.
walkmore(*oids)[source]

Retrieve OIDs values using GETBULK or GETNEXT. The method is called “walk” but this is either a GETBULK or a GETNEXT. The later is only used for SNMPv1 or if bulk has been disabled using bulk() property.

Parameters:oids – a list of OID to retrieve. An OID is a tuple.
Returns:a list of tuples with the retrieved OID and the raw value.

basictypes module

This module is aimed at providing Pythonic representation of various SNMP types. Each SMIv2 type is mapped to a corresponding class which tries to mimic a basic type from Python. For example, display strings are like Python string while SMIv2 integers are just like Python integers. This module is some kind of a hack and its use outside of Snimpy seems convoluted.

class snimpy.basictypes.Bits[source]

Class for bits.

class snimpy.basictypes.Boolean[source]

Class for a boolean.

class snimpy.basictypes.Enum[source]

Class for an enumeration. An enumaration is an integer but labels are attached to some values for a more user-friendly display.

class snimpy.basictypes.Integer[source]

Class for any integer.

class snimpy.basictypes.IpAddress[source]

Class representing an IP address/

class snimpy.basictypes.OctetString[source]

Class for a generic octet string. This class should be compared to String which is used to represent a display string. This class is usually used to store raw bytes, like a bitmask of VLANs.

class snimpy.basictypes.Oid[source]

Class to represent and OID.

class snimpy.basictypes.String[source]

Class for a display string. Such a string is an unicode string and it is therefore expected that only printable characters are used. This is usually the case if the corresponding MIB node comes with a format string.

With such an instance, the user is expected to be able to provide a formatted. For example, a MAC address could be written 00:11:22:33:44:55.

class snimpy.basictypes.Timeticks[source]

Class for timeticks.

class snimpy.basictypes.Type[source]

Base class for all types.

classmethod fromOid(entity, oid)[source]

Create instance from an OID.

This is the sister function of toOid().

Parameters:
  • oid – The OID to use to create an instance
  • entity – The MIB entity we want to instantiate
Returns:

A couple (l, v) with l the number of suboids needed to create the instance and v the instance created from the OID
pack()[source]

Prepare the instance to be sent on the wire.

toOid()[source]

Convert to an OID.

If this function is implemented, then class function fromOid() should also be implemented as the “invert” function of this one.

This function only works if the entity is used as an index! Otherwise, it should raises NotImplementedError.

Returns:An OID that can be used as index
class snimpy.basictypes.Unsigned32[source]

Class to represent an unsigned 32bits integer.

class snimpy.basictypes.Unsigned64[source]

Class to represent an unsigned 64bits integer.

snimpy.basictypes.build(mibname, node, value)[source]

Build a new basic type with the given value.

Parameters:
  • mibname – The MIB to use to locate the entity.
  • node – The node that will be attached to this type.
  • value – The initial value to set for the type.
Returns:

A Type instance

Contributing

Contributions are welcome, and they are greatly appreciated! Every little bit helps, and credit will always be given.

You can contribute in many ways:

Types of Contributions

Report Bugs

Report bugs at https://github.com/vincentbernat/snimpy/issues.

If you are reporting a bug, please include:

  • Your operating system name and version.
  • Any details about your local setup that might be helpful in troubleshooting.
  • Detailed steps to reproduce the bug.
Fix Bugs

Look through the GitHub issues for bugs. Anything tagged with “bug” is open to whoever wants to implement it.

Implement Features

Look through the GitHub issues for features. Anything tagged with “feature” is open to whoever wants to implement it.

Write Documentation

Snimpy could always use more documentation, whether as part of the official Snimpy docs, in docstrings, or even on the web in blog posts, articles, and such.

Submit Feedback

The best way to send feedback is to file an issue at https://github.com/vincentbernat/snimpy/issues.

If you are proposing a feature:

  • Explain in detail how it would work.
  • Keep the scope as narrow as possible, to make it easier to implement.
  • Remember that this is a volunteer-driven project, and that contributions are welcome :)

Get Started!

Ready to contribute? Here’s how to set up snimpy for local development.

  1. Fork the snimpy repo on GitHub.

  2. Clone your fork locally:

    $ git clone git@github.com:your_name_here/snimpy.git

  3. Install your local copy into a virtualenv. Assuming you have virtualenvwrapper installed, this is how you set up your fork for local development:

    $ mkvirtualenv snimpy
$ cd snimpy/
$ python setup.py develop

  4. Create a branch for local development:

    $ git checkout -b name-of-your-bugfix-or-feature
Now you can make your changes locally.

5. When you’re done making changes, check that your changes pass flake8 and the tests, including testing other Python versions with tox:

  $ flake8 snimpy tests
        $ python setup.py test
  $ tox

To get flake8 and tox, just pip install them into your virtualenv.

  1. Commit your changes and push your branch to GitHub:

    $ git add .
$ git commit -m "Your detailed description of your changes."
$ git push origin name-of-your-bugfix-or-feature

  2. Submit a pull request through the GitHub website.

Pull Request Guidelines

Before you submit a pull request, check that it meets these guidelines:

  1. The pull request should include tests.
  2. If the pull request adds functionality, the docs should be updated. Put your new functionality into a function with a docstring, and add the feature to the list in README.rst.
  3. The pull request should work for Python 2.6, 2.7, 3.3 and 3.4, and for PyPy. Check https://travis-ci.org/vincentbernat/snimpy/pull_requests and make sure that the tests pass for all supported Python versions.

Tips

To run a subset of tests:

$ python -m nose tests/test_snmp.py

License

Snimpy is licensed under the ISC license. It basically means: do whatever you want with it as long as the copyright sticks around, the conditions are not modified and the disclaimer is present.

Development Lead

Contributors

  • Jakub Wroniecki
  • Julian Taylor

ISC License

Permission to use, copy, modify, and/or distribute this software for any purpose with or without fee is hereby granted, provided that the above copyright notice and this permission notice appear in all copies.

THE SOFTWARE IS PROVIDED “AS IS” AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.

History

0.8.9 (2016-02-16)

  • Ability to walk a table (if the first index is accessible).
  • Ability to do a partial walk (courtesy of Alex Unigovsky).

0.8.8 (2015-11-15)

  • Fix thread-safety problem introduced in 0.8.6. This also undo any improvement advertised in 0.8.6 when using multiple threads. However, performance should be kept when using a single thread.

0.8.7 (2015-11-14)

  • Ability to specify a module name when querying a manager.
  • Compatibility with PySNMP 4.3
  • Array-like interface for OIDs.
  • Ability to restrict lookups to a specific MIB: m[‘IF-MIB’].ifDescr.
  • Fix multithread support with SNMPv3 (with a performance impact).

0.8.6 (2015-06-24)

  • Major speed improvement.
  • Major memory usage improvement.

0.8.5 (2015-04-04)

  • Ability to set SMI search path (with mib.path())
  • Fix documentation build on Read the Doc.
  • Add a loose mode to manager to loosen type coercion.

0.8.4 (2015-02-10)

  • More CFFI workarounds, including cross-compilation support.
  • Ability to override a node type.
  • Automatic workaround for “SNMP too big” error message.

0.8.3 (2014-08-18)

  • IPv6 support.

0.8.2 (2014-06-08)

  • Minor bugfixes.

0.8.1 (2013-10-25)

  • Workaround a problem with CFFI extension installation.

0.8.0 (2013-10-19)

  • Python 3.3 support. Pypy support.
  • PEP8 compliant.
  • Sphinx documentation.
  • Octet strings with a display hint are now treated differently than plain octet strings (unicode). Notably, they can now be set using the displayed format (for example, for MAC addresses).

0.7.0 (2013-09-23)

  • Major rewrite.
  • SNMP support is now provided through PySNMP.
  • MIB parsing is still done with libsmi but through CFFI instead of a C module.
  • More unittests. Many bugfixes.

0.6.4 (2013-03-21)

  • GETBULK support.
  • MacAddress SMI type support.

0.6.3 (2012-04-13)

  • Support for IPython 0.12.
  • Minor bugfixes.

0.6.2 (2012-01-19)

  • Ability to return None instead of getting an exception.

0.6.1 (2012-01-14)

  • Thread safety and efficiency.

0.6 (2012-01-10)

  • SNMPv3 support

0.5.1 (2011-08-07)

  • Compatibility with IPython 0.11.
  • Custom timeouts and retries.

0.5 (2010-02-03)

  • Check conformity of loaded modules.
  • Many bugfixes.

0.4 (2009-06-06)

  • Allow to cache requests.

0.3 (2008-11-23)

  • Provide a manual page.
  • Use a context manager to group SET requests.

0.2.1 (2008-09-28)

  • First release on PyPI.