101 lines
3.5 KiB
Python
101 lines
3.5 KiB
Python
import subprocess
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import json
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class Input:
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"""Fill the NodeDB with links from batadv-vis.
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The links are added as lists containing the neighboring nodes, not
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only their identifiers! Mind this when exporting the database, as
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it probably leads to recursion.
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"""
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def __init__(self, mesh_interface="bat0"):
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self.mesh_interface = mesh_interface
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@staticmethod
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def _is_similar_mac(a, b):
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"""Determine if two MAC addresses are similar."""
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if a == b:
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return True
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# Split the address into bytes
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try:
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mac_a = list(int(i, 16) for i in a.split(":"))
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mac_b = list(int(i, 16) for i in b.split(":"))
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except ValueError:
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return False
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# Second and third byte musn't differ
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if mac_a[1] != mac_b[1] or mac_a[2] != mac_b[2]:
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return False
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# First byte must only differ in bit 2
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if mac_a[0] | 2 != mac_b[0] | 2:
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return False
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# Count differing bytes after the third
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c = [x for x in zip(mac_a[3:], mac_b[3:]) if x[0] != x[1]]
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# No more than two additional bytes must differ
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if len(c) > 2:
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return False
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# If no more bytes differ, they are very similar
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if len(c) == 0:
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return True
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# If the sum of absolute differences isn't greater than 2, they
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# are pretty similar
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delta = sum(abs(i[0] - i[1]) for i in c)
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return delta < 2
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def get_data(self, nodedb):
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"""Add data from batadv-vis to the supplied nodedb"""
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output = subprocess.check_output([
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"batadv-vis",
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"-i", str(self.mesh_interface),
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"-f", "jsondoc",
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])
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data = json.loads(output.decode("utf-8"))
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# First pass
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for node in data["vis"]:
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# Determine possible other MAC addresses of this node by
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# comparing all its client's MAC addresses to its primary
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# MAC address. If they are similar, it probably is another
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# address of the node itself! If it isn't, it is a real
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# client.
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node['aliases'] = [node["primary"]]
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if 'secondary' in node:
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node['aliases'].extend(node['secondary'])
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real_clients = []
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for mac in node["clients"]:
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if self._is_similar_mac(mac, node["primary"]):
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node['aliases'].append(mac)
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else:
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real_clients.append(mac)
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node['clients'] = real_clients
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# Add nodes and aliases without any information at first.
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# This way, we can later link the objects themselves.
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nodedb.add_or_update(node['aliases'])
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# Second pass
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for node in data["vis"]:
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# We only need the primary address now, all aliases are
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# already present in the database. Furthermore, we can be
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# sure that all neighbors are in the database as well. If
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# a neighbor isn't added already, we simply ignore it.
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nodedb.add_or_update(
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[node["primary"]],
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{
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"clients": node["clients"],
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"neighbors": [
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{
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"metric": neighbor['metric'],
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"neighbor": nodedb[neighbor['neighbor']],
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} for neighbor in node["neighbors"]
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if neighbor['neighbor'] in nodedb
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]
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}
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)
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