def show_major_edges(ns):
conf = open_logdag_config(ns)
args = arguments.name2args(ns.argname, conf)
from . import edge_search
ldag = showdag.LogDAG(args)
ldag.load()
g = showdag.apply_filter(ldag, ns.filters, th=ns.threshold)
if ns.detail:
context = "detail"
elif ns.instruction:
context = "instruction"
else:
context = "edge"
from ..__main__ import _parse_condition
search_condition = _parse_condition(ns.conditions)
print(
edge_search.show_sorted_edges(ldag,
search_condition=search_condition,
feature=ns.feature,
score=ns.score,
reverse=True,
view_context=context,
load_cache=(not ns.nocache),
graph=g))
def search_similar_dag(ns):
conf = open_logdag_config(ns)
args = arguments.name2args(ns.argname, conf)
from . import edge_search
ldag = showdag.LogDAG(args)
ldag.load()
buf = edge_search.search_similar_dag(ldag,
feature=ns.feature,
weight=ns.score_weight,
dag_topn=10,
cause_topn=10)
print(buf)
def show_match(ns):
conf = open_logdag_config(ns)
from . import trouble
tm = trouble.init_trouble_manager(conf)
from logdag import showdag
from . import match_edge
tr = tm[ns.tid]
d_args = match_edge.match_edges(conf, tr, rule=ns.rule, cond=ns.cond)
cnt = sum([len(l_edge) for l_edge in d_args.values()])
print("{0[date]} ({0[group]}): {1}".format(tr.data, cnt))
for name, l_edge in d_args.items():
r = showdag.LogDAG(arguments.name2args(name, conf))
r.load()
for edge in l_edge:
edgestr = r.edge_str(edge, graph=r.graph.to_undirected())
print(name, edgestr)
def separate_args(conf, tr):
"""Some troubles can appear among multiple days.
This function separates DAG arguments and corresponding logs.
"""
from logdag import arguments
am = arguments.ArgumentManager(conf)
am.load()
from amulog import log_db
ld = log_db.LogData(arguments.open_amulog_config(conf))
d_args = defaultdict(list)
for lid in tr.data["message"]:
lm = ld.get_line(lid)
for args in am.args_from_time(lm.dt):
name = arguments.args2name(args)
d_args[name].append(lm)
return [(arguments.name2args(name, conf), l_lm)
for name, l_lm in d_args.items()]
def show_edges_temporal_sort(ns):
conf = open_logdag_config(ns)
args = arguments.name2args(ns.argname, conf)
from . import edge_search
ldag = showdag.LogDAG(args)
ldag.load()
g = showdag.apply_filter(ldag, ns.filters, th=ns.threshold)
if ns.detail:
context = "detail"
elif ns.instruction:
context = "instruction"
else:
context = "edge"
from logdag import dtutil
if ns.timestr_end is None:
dt = dtutil.shortstr2dt(ns.timestr)
time_condition = {"time": dt}
else:
dts = dtutil.shortstr2dt(ns.timestr)
dte = dtutil.shortstr2dt(ns.timestr_end)
time_condition = {"time_range": (dts, dte)}
from ..__main__ import _parse_condition
search_condition = _parse_condition(ns.conditions)
print(
edge_search.edge_temporal_sort(ldag,
time_condition,
search_condition=search_condition,
reverse=ns.reverse,
view_context=context,
load_cache=(not ns.nocache),
graph=g))
def _dag_from_name(conf, name):
args = arguments.name2args(name, conf)
r = showdag.LogDAG(args)
r.load()
return r
