pep8: fix remaining line length issues and update travis to include lib/*.py

This commit is contained in:
Martin Weinelt 2015-03-25 14:33:54 +01:00
parent 8d4856db56
commit eb26ea9a5f
6 changed files with 59 additions and 35 deletions

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@ -3,4 +3,4 @@ language: python
python: python:
- "3.4" - "3.4"
install: "pip install pep8" install: "pip install pep8"
script: "pep8 *.py" script: "pep8 *.py lib/*.py"

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@ -32,11 +32,13 @@ class NodeRRD(RRD):
@property @property
def imagename(self): def imagename(self):
return "{basename}.png".format(basename=os.path.basename(self.filename).rsplit('.', 2)[0]) return "{basename}.png".format(
basename=os.path.basename(self.filename).rsplit('.', 2)[0])
# TODO: fix this, python does not support function overloading # TODO: fix this, python does not support function overloading
def update(self): def update(self):
super().update({'upstate': int(self.node['flags']['online']), 'clients': self.node['statistics']['clients']}) super().update({'upstate': int(self.node['flags']['online']),
'clients': self.node['statistics']['clients']})
def graph(self, directory, timeframe): def graph(self, directory, timeframe):
""" """

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@ -83,9 +83,11 @@ class RRD(object):
info = self.info() info = self.info()
if set(ds_list) - set(info['ds'].values()) != set(): if set(ds_list) - set(info['ds'].values()) != set():
for ds in ds_list: for ds in ds_list:
if ds.name in info['ds'] and ds.type != info['ds'][ds.name].type: if ds.name in info['ds'] and\
raise RRDIncompatibleException("%s is %s but should be %s" % ds.type != info['ds'][ds.name].type:
(ds.name, ds.type, info['ds'][ds.name].type)) raise RRDIncompatibleException(
"{} is {} but should be {}".format(
ds.name, ds.type, info['ds'][ds.name].type))
else: else:
raise RRDOutdatedException() raise RRDOutdatedException()
@ -108,8 +110,10 @@ class RRD(object):
if ds.name in info['ds']: if ds.name in info['ds']:
old_ds = info['ds'][ds.name] old_ds = info['ds'][ds.name]
if info['ds'][ds.name].type != ds.type: if info['ds'][ds.name].type != ds.type:
raise RuntimeError('Cannot convert existing DS "%s" from type "%s" to "%s"' % raise RuntimeError(
(ds.name, old_ds.type, ds.type)) "Cannot convert existing DS '{}'"
"from type '{}' to '{}'".format(
ds.name, old_ds.type, ds.type))
ds.index = old_ds.index ds.index = old_ds.index
new_ds[ds.index] = ds new_ds[ds.index] = ds
else: else:
@ -237,7 +241,8 @@ class RRD(object):
for line in out.splitlines(): for line in out.splitlines():
base = info base = info
for match in self._info_regex.finditer(line): for match in self._info_regex.finditer(line):
section, key, name, value = match.group("section", "key", "name", "value") section, key, name, value = match.group(
"section", "key", "name", "value")
if section and key: if section and key:
try: try:
key = int(key) key = int(key)
@ -258,7 +263,8 @@ class RRD(object):
base[name] = value base[name] = value
dss = {} dss = {}
for name, ds in info['ds'].items(): for name, ds in info['ds'].items():
ds_obj = DS(name, ds['type'], ds['minimal_heartbeat'], ds['min'], ds['max']) ds_obj = DS(name, ds['type'], ds['minimal_heartbeat'],
ds['min'], ds['max'])
ds_obj.index = ds['index'] ds_obj.index = ds['index']
ds_obj.last_ds = ds['last_ds'] ds_obj.last_ds = ds['last_ds']
ds_obj.value = ds['value'] ds_obj.value = ds['value']
@ -267,7 +273,8 @@ class RRD(object):
info['ds'] = dss info['ds'] = dss
rras = [] rras = []
for rra in info['rra'].values(): for rra in info['rra'].values():
rras.append(RRA(rra['cf'], rra['xff'], rra['pdp_per_row'], rra['rows'])) rras.append(RRA(rra['cf'], rra['xff'],
rra['pdp_per_row'], rra['rows']))
info['rra'] = rras info['rra'] = rras
self._cached_info = info self._cached_info = info
return info return info

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@ -8,12 +8,17 @@ from lib.nodes import build_mac_table
def import_vis_data(graph, nodes, vis_data): def import_vis_data(graph, nodes, vis_data):
macs = build_mac_table(nodes) macs = build_mac_table(nodes)
nodes_a = map(lambda d: 2*[d['primary']], filter(lambda d: 'primary' in d, vis_data)) nodes_a = map(lambda d: 2*[d['primary']],
nodes_b = map(lambda d: [d['secondary'], d['of']], filter(lambda d: 'secondary' in d, vis_data)) filter(lambda d: 'primary' in d, vis_data))
graph.add_nodes_from(map(lambda a, b: (a, dict(primary=b, node_id=macs.get(b))), *zip(*chain(nodes_a, nodes_b)))) nodes_b = map(lambda d: [d['secondary'], d['of']],
filter(lambda d: 'secondary' in d, vis_data))
graph.add_nodes_from(map(lambda a, b:
(a, dict(primary=b, node_id=macs.get(b))),
*zip(*chain(nodes_a, nodes_b))))
edges = filter(lambda d: 'neighbor' in d, vis_data) edges = filter(lambda d: 'neighbor' in d, vis_data)
graph.add_edges_from(map(lambda d: (d['router'], d['neighbor'], dict(tq=float(d['label']))), edges)) graph.add_edges_from(map(lambda d: (d['router'], d['neighbor'],
dict(tq=float(d['label']))), edges))
def mark_vpn(graph, vpn_macs): def mark_vpn(graph, vpn_macs):
@ -32,11 +37,13 @@ def to_multigraph(graph):
return node['primary'] if node else a return node['primary'] if node else a
def map_node(node, data): def map_node(node, data):
return (data['primary'], dict(node_id=data['node_id'])) if data else (node, dict()) return (data['primary'],
dict(node_id=data['node_id'])) if data else (node, dict())
digraph = nx.MultiDiGraph() digraph = nx.MultiDiGraph()
digraph.add_nodes_from(map(map_node, *zip(*graph.nodes_iter(data=True)))) digraph.add_nodes_from(map(map_node, *zip(*graph.nodes_iter(data=True))))
digraph.add_edges_from(map(lambda a, b, data: (f(a), f(b), data), *zip(*graph.edges_iter(data=True)))) digraph.add_edges_from(map(lambda a, b, data: (f(a), f(b), data),
*zip(*graph.edges_iter(data=True))))
return digraph return digraph
@ -50,7 +57,8 @@ def merge_nodes(graph):
multigraph = to_multigraph(graph) multigraph = to_multigraph(graph)
digraph = nx.DiGraph() digraph = nx.DiGraph()
digraph.add_nodes_from(multigraph.nodes_iter(data=True)) digraph.add_nodes_from(multigraph.nodes_iter(data=True))
edges = chain.from_iterable([[(e, d, merge_edges(multigraph[e][d].values())) edges = chain.from_iterable([[(e, d, merge_edges(
multigraph[e][d].values()))
for d in multigraph[e]] for e in multigraph]) for d in multigraph[e]] for e in multigraph])
digraph.add_edges_from(edges) digraph.add_edges_from(edges)
@ -69,7 +77,8 @@ def to_undirected(graph):
graph = nx.Graph() graph = nx.Graph()
graph.add_nodes_from(multigraph.nodes_iter(data=True)) graph.add_nodes_from(multigraph.nodes_iter(data=True))
edges = chain.from_iterable([[(e, d, merge_edges(multigraph[e][d].values())) edges = chain.from_iterable([[(e, d, merge_edges(
multigraph[e][d].values()))
for d in multigraph[e]] for e in multigraph]) for d in multigraph[e]] for e in multigraph])
graph.add_edges_from(edges) graph.add_edges_from(edges)

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@ -53,23 +53,26 @@ def reset_statistics(nodes):
node['statistics'] = {'clients': 0} node['statistics'] = {'clients': 0}
def import_statistics(nodes, statistics): def import_statistics(nodes, stats):
def add(node, statistics, target, source, f=lambda d: d): def add(node, statistics, target, source, f=lambda d: d):
try: try:
node['statistics'][target] = f(reduce(dict.__getitem__, source, statistics)) node['statistics'][target] = f(reduce(dict.__getitem__,
source,
statistics))
except (KeyError, TypeError): except (KeyError, TypeError):
pass pass
macs = build_mac_table(nodes) macs = build_mac_table(nodes)
statistics = filter(lambda d: 'node_id' in d, statistics) stats = filter(lambda d: 'node_id' in d, stats)
statistics = filter(lambda d: d['node_id'] in nodes, statistics) stats = filter(lambda d: d['node_id'] in nodes, stats)
for node, statistics in map(lambda d: (nodes[d['node_id']], d), statistics): for node, stats in map(lambda d: (nodes[d['node_id']], d), stats):
add(node, statistics, 'clients', ['clients', 'total']) add(node, stats, 'clients', ['clients', 'total'])
add(node, statistics, 'gateway', ['gateway'], lambda d: macs.get(d, d)) add(node, stats, 'gateway', ['gateway'], lambda d: macs.get(d, d))
add(node, statistics, 'uptime', ['uptime']) add(node, stats, 'uptime', ['uptime'])
add(node, statistics, 'loadavg', ['loadavg']) add(node, stats, 'loadavg', ['loadavg'])
add(node, statistics, 'memory_usage', ['memory'], lambda d: 1 - d['free'] / d['total']) add(node, stats, 'memory_usage', ['memory'],
add(node, statistics, 'rootfs_usage', ['rootfs_usage']) lambda d: 1 - d['free'] / d['total'])
add(node, stats, 'rootfs_usage', ['rootfs_usage'])
def import_mesh_ifs_vis_data(nodes, vis_data): def import_mesh_ifs_vis_data(nodes, vis_data):

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@ -28,8 +28,10 @@ class RRD(object):
os.mkdir(self.imagePath) os.mkdir(self.imagePath)
def update_database(self, nodes): def update_database(self, nodes):
online_nodes = dict(filter(lambda d: d[1]['flags']['online'], nodes.items())) online_nodes = dict(filter(
client_count = sum(map(lambda d: d['statistics']['clients'], online_nodes.values())) lambda d: d[1]['flags']['online'], nodes.items()))
client_count = sum(map(
lambda d: d['statistics']['clients'], online_nodes.values()))
self.globalDb.update(len(online_nodes), client_count) self.globalDb.update(len(online_nodes), client_count)
for node_id, node in online_nodes.items(): for node_id, node in online_nodes.items():
@ -37,7 +39,8 @@ class RRD(object):
rrd.update() rrd.update()
def update_images(self): def update_images(self):
self.globalDb.graph(os.path.join(self.imagePath, "globalGraph.png"), self.displayTimeGlobal) self.globalDb.graph(os.path.join(self.imagePath, "globalGraph.png"),
self.displayTimeGlobal)
nodedb_files = os.listdir(self.dbPath) nodedb_files = os.listdir(self.dbPath)