Did I find the right examples for you? yes no      Crawl my project      Python Jobs

All Samples(2)  |  Call(2)  |  Derive(0)  |  Import(0)
Loads a network from Graphml into AutoNetkit.

        def load_graphml(net_file, default_asn = 1):
    Loads a network from Graphml into AutoNetkit.
    default_device_type = 'router'
    path, filename = os.path.split(net_file)
    net_name = os.path.splitext(filename)[0]
    # get full path
    path =  os.path.abspath(path)
    pickle_dir = path + os.sep + "cache"
    if not os.path.isdir(pickle_dir):
    pickle_file = "{0}/{1}.pickle".format(pickle_dir, net_name)
#TODO: re-enable pickle
    if (False and os.path.isfile(pickle_file) and
        os.stat(net_file).st_mtime < os.stat(pickle_file).st_mtime):
        # Pickle file exists, and source_file is older
        input_graph = nx.read_gpickle(pickle_file)
        # No pickle file, or is outdated
        input_graph = nx.read_graphml(net_file)
        #nx.write_gpickle(input_graph, pickle_file)

    nodes_with_H_set = sum(1 for n in input_graph if input_graph.node[n].get('H'))
    if nodes_with_H_set == len(input_graph):
#all nodes have H set, apply graph products
        LOG.info("All nodes in graph %s have H attribute set, applying graph product" % net_name)
        input_graph = ank.graph_product(net_file)
        if not input_graph:
            LOG.warn("Unable to load graph %s" % net_file)
# remap ('a', 2) -> 'a2'
                dict( (n, "%s_%s" % (n[0], n[1])) for n in input_graph), copy=False)
        if 'ASN' in input_graph.graph.get("node_default"):
            LOG.warn("Graph has ASN attribute set: did you mean 'asn'?")
    except TypeError:

        if input_graph.graph['node_default']['asn'] != "None":
            default_asn = int(input_graph.graph['node_default']['asn'])
    except KeyError:
        pass    # not set
    except ValueError:
        LOG.warn("Unable to use default asn '%s' specified in graphml file. Using %s instead." % (
            input_graph.graph['node_default']['asn'], default_asn))

# a->z for renaming
# try intially for a, b, c, d
    letters = (chr(x) for x in range(97,123)) 

# set any blank labels to be letter for gh-122
    no_label_nodes = [n for n, d in input_graph.nodes(data=True) if not d.get("label")]
    whitespace_labels = [n for n, d in input_graph.nodes(data=True)
            if n not in no_label_nodes and d.get("label").strip() == ""]
    empty_label_nodes = no_label_nodes + whitespace_labels
    if len(empty_label_nodes) > 26:
# use aa, ab, ac, etc
        single_letters = list(letters)
        letters = ("%s%s" % (a, b) for a in single_letters for b in single_letters)
# remove lowercase labels already used - conflicts in file naming
    existing_labels = set(data["label"].lower() for node, data in input_graph.nodes(data=True)
            if data.get("label"))
    letters = iter(set(letters) - existing_labels)

    mapping = dict( (n, letters.next()) for n in empty_label_nodes)
    input_graph = nx.relabel_nodes(input_graph, mapping)
# Update the label also
    for n in whitespace_labels:
        remapped_id = mapping[n] # need to refer to ID after mapping
        input_graph.node[remapped_id]['label'] = remapped_id

    # search for virtual nodes
    virtual_nodes = set(n for n, d in input_graph.nodes(data=True) if d.get("virtual"))
    for node in virtual_nodes:
        input_graph.node[node]['device_type'] = "virtual" 

    non_virtual_nodes = [n for n in input_graph if n not in virtual_nodes]
    for n in non_virtual_nodes:
        input_graph.node[n]['virtual'] = False

    # set node and edge defaults
        for node, data in input_graph.nodes(data=True):
            for key, val in input_graph.graph["node_default"].items():
                if key not in data and val != 'None':
                    data[key] = val
            input_graph.node[node] = data
    except KeyError:

        for s, t, data in input_graph.edges(data=True):
            for key, val in input_graph.graph["edge_default"].items():
                if key not in data and val != 'None':
                    data[key] = val
            input_graph[s][t] = data
    except KeyError:

    # set label if unset
    for node, data in input_graph.nodes(data=True):
        if 'label' not in data:
            input_graph.node[node]['label'] = node
        if 'device_type' not in data:
            input_graph.node[node]['device_type'] = default_device_type 
            LOG.debug("Setting device_type for %s to %s" % ( 
                input_graph.node[node]['label'], default_device_type) )

    # check each node has an ASN allocated
    for node, data in input_graph.nodes_iter(data=True):
        if not 'asn' in data:
            LOG.debug("No asn set for node %s using default of %s" % 
            input_graph.node[node]['asn'] = default_asn
            input_graph.node[node]['asn'] = int(data['asn']) # ensure is integer

    # Convert to single-edge and then back to directed, to ensure edge in both
    # directions
    #TODO: Document this that assume bi-directional

    input_graph = nx.Graph(input_graph)
    input_graph = input_graph.to_directed()
    return input_graph

src/a/n/ank_le-HEAD/AutoNetkit/readwrite/example_topologies.py   ank_le(Download)
    if os.path.isfile(test_filename):
            LOG.info("Loading example topology %s " % filename)
            return ank.load_graphml(test_filename)
            example_files = glob.glob(topology_dir + os.sep + "*.graphml")

src/a/n/ank_le-HEAD/AutoNetkit/internet.py   ank_le(Download)
            ank.load_zoo(self.network, filename)
        elif ext == ".graphml":
            self.network.graph = ank.load_graphml(filename)
        elif ext == ".pickle":
            LOG.warn("AutoNetkit no longer supports pickle file format, please use GraphML")