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#!/usr/bin/env drgn
# SPDX-License-Identifier: GPL-2.0
'''
Read DAMON context data and dump as a json string.
'''
import drgn
from drgn import FaultError, NULL, Object, cast, container_of, execscript, offsetof, reinterpret, sizeof
from drgn.helpers.common import *
from drgn.helpers.linux import *
import json
import sys
if "prog" not in globals():
try:
prog = drgn.get_default_prog()
except drgn.NoDefaultProgramError:
prog = drgn.program_from_kernel()
drgn.set_default_prog(prog)
def to_dict(object, attr_name_converter):
d = {}
for attr_name, converter in attr_name_converter:
d[attr_name] = converter(getattr(object, attr_name))
return d
def ops_to_dict(ops):
return to_dict(ops, [
['id', int],
])
def intervals_goal_to_dict(goal):
return to_dict(goal, [
['access_bp', int],
['aggrs', int],
['min_sample_us', int],
['max_sample_us', int],
])
def attrs_to_dict(attrs):
return to_dict(attrs, [
['sample_interval', int],
['aggr_interval', int],
['ops_update_interval', int],
['intervals_goal', intervals_goal_to_dict],
['min_nr_regions', int],
['max_nr_regions', int],
])
def addr_range_to_dict(addr_range):
return to_dict(addr_range, [
['start', int],
['end', int],
])
def region_to_dict(region):
return to_dict(region, [
['ar', addr_range_to_dict],
['sampling_addr', int],
['nr_accesses', int],
['nr_accesses_bp', int],
['age', int],
])
def regions_to_list(regions):
return [region_to_dict(r)
for r in list_for_each_entry(
'struct damon_region', regions.address_of_(), 'list')]
def target_to_dict(target):
return to_dict(target, [
['pid', int],
['nr_regions', int],
['regions_list', regions_to_list],
])
def targets_to_list(targets):
return [target_to_dict(t)
for t in list_for_each_entry(
'struct damon_target', targets.address_of_(), 'list')]
def damos_access_pattern_to_dict(pattern):
return to_dict(pattern, [
['min_sz_region', int],
['max_sz_region', int],
['min_nr_accesses', int],
['max_nr_accesses', int],
['min_age_region', int],
['max_age_region', int],
])
def damos_quota_goal_to_dict(goal):
return to_dict(goal, [
['metric', int],
['target_value', int],
['current_value', int],
['last_psi_total', int],
['nid', int],
])
def damos_quota_goals_to_list(goals):
return [damos_quota_goal_to_dict(g)
for g in list_for_each_entry(
'struct damos_quota_goal', goals.address_of_(), 'list')]
def damos_quota_to_dict(quota):
return to_dict(quota, [
['reset_interval', int],
['ms', int], ['sz', int],
['goals', damos_quota_goals_to_list],
['esz', int],
['weight_sz', int],
['weight_nr_accesses', int],
['weight_age', int],
])
def damos_watermarks_to_dict(watermarks):
return to_dict(watermarks, [
['metric', int],
['interval', int],
['high', int], ['mid', int], ['low', int],
])
def damos_migrate_dests_to_dict(dests):
nr_dests = int(dests.nr_dests)
node_id_arr = []
weight_arr = []
for i in range(nr_dests):
node_id_arr.append(int(dests.node_id_arr[i]))
weight_arr.append(int(dests.weight_arr[i]))
return {
'node_id_arr': node_id_arr,
'weight_arr': weight_arr,
'nr_dests': nr_dests,
}
def damos_filter_to_dict(damos_filter):
filter_type_keyword = {
0: 'anon',
1: 'active',
2: 'memcg',
3: 'young',
4: 'hugepage_size',
5: 'unmapped',
6: 'addr',
7: 'target'
}
dict_ = {
'type': filter_type_keyword[int(damos_filter.type)],
'matching': bool(damos_filter.matching),
'allow': bool(damos_filter.allow),
}
type_ = dict_['type']
if type_ == 'memcg':
dict_['memcg_id'] = int(damos_filter.memcg_id)
elif type_ == 'addr':
dict_['addr_range'] = [int(damos_filter.addr_range.start),
int(damos_filter.addr_range.end)]
elif type_ == 'target':
dict_['target_idx'] = int(damos_filter.target_idx)
elif type_ == 'hugeapge_size':
dict_['sz_range'] = [int(damos_filter.sz_range.min),
int(damos_filter.sz_range.max)]
return dict_
def scheme_to_dict(scheme):
dict_ = to_dict(scheme, [
['pattern', damos_access_pattern_to_dict],
['action', int],
['apply_interval_us', int],
['quota', damos_quota_to_dict],
['wmarks', damos_watermarks_to_dict],
['target_nid', int],
['migrate_dests', damos_migrate_dests_to_dict],
])
filters = []
for f in list_for_each_entry(
'struct damos_filter', scheme.filters.address_of_(), 'list'):
filters.append(damos_filter_to_dict(f))
dict_['filters'] = filters
ops_filters = []
for f in list_for_each_entry(
'struct damos_filter', scheme.ops_filters.address_of_(), 'list'):
ops_filters.append(damos_filter_to_dict(f))
dict_['ops_filters'] = ops_filters
return dict_
def schemes_to_list(schemes):
return [scheme_to_dict(s)
for s in list_for_each_entry(
'struct damos', schemes.address_of_(), 'list')]
def damon_ctx_to_dict(ctx):
return to_dict(ctx, [
['ops', ops_to_dict],
['attrs', attrs_to_dict],
['adaptive_targets', targets_to_list],
['schemes', schemes_to_list],
])
def main():
if len(sys.argv) < 3:
print('Usage: %s <kdamond pid> <file>' % sys.argv[0])
exit(1)
pid = int(sys.argv[1])
file_to_store = sys.argv[2]
kthread_data = cast('struct kthread *',
find_task(prog, pid).worker_private).data
ctx = cast('struct damon_ctx *', kthread_data)
status = {'contexts': [damon_ctx_to_dict(ctx)]}
if file_to_store == 'stdout':
print(json.dumps(status, indent=4))
else:
with open(file_to_store, 'w') as f:
json.dump(status, f, indent=4)
if __name__ == '__main__':
main()
|
