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-rw-r--r--collectors/python.d.plugin/anomalies/anomalies.chart.py6
1 files changed, 2 insertions, 4 deletions
diff --git a/collectors/python.d.plugin/anomalies/anomalies.chart.py b/collectors/python.d.plugin/anomalies/anomalies.chart.py
index cacc9ce433..3691537b4b 100644
--- a/collectors/python.d.plugin/anomalies/anomalies.chart.py
+++ b/collectors/python.d.plugin/anomalies/anomalies.chart.py
@@ -73,7 +73,6 @@ class Service(SimpleService):
self.fitted_at = {}
self.df_allmetrics = pd.DataFrame()
self.data_latest = {}
- self.expected_cols = []
self.last_train_at = 0
self.include_average_prob = bool(self.configuration.get('include_average_prob', True))
@@ -101,7 +100,7 @@ class Service(SimpleService):
self.custom_models_host_charts_dict = {}
for host in self.custom_models_hosts:
self.custom_models_host_charts_dict[host] = list(set([dim.split('::')[1].split('|')[0] for dim in self.custom_models_dims if dim.startswith(host)]))
- self.custom_models_dims_renamed = [f"{model['name']}.{dim}" for model in self.custom_models for dim in model['dimensions'].split(',')]
+ self.custom_models_dims_renamed = [f"{model['name']}|{dim}" for model in self.custom_models for dim in model['dimensions'].split(',')]
self.models_in_scope = list(set([f'{self.host}::{c}' for c in self.charts_in_scope] + self.custom_models_names))
self.charts_in_scope = list(set(self.charts_in_scope + self.custom_models_charts))
self.host_charts_dict = {self.host: self.charts_in_scope}
@@ -245,7 +244,6 @@ class Service(SimpleService):
host_charts_dict=self.host_charts_dict, host_prefix=True, host_sep='::', after=after, before=before,
sort_cols=True, numeric_only=True, protocol=self.protocol, float_size='float32', user=self.username, pwd=self.password
).ffill()
- self.expected_cols = list(df_train.columns)
if self.custom_models:
df_train = self.add_custom_models_dims(df_train)
@@ -287,7 +285,7 @@ class Service(SimpleService):
df_allmetrics = get_allmetrics_async(
host_charts_dict=self.host_charts_dict, host_prefix=True, host_sep='::', wide=True, sort_cols=True,
protocol=self.protocol, numeric_only=True, float_size='float32', user=self.username, pwd=self.password
- )[self.expected_cols]
+ )
if self.custom_models:
df_allmetrics = self.add_custom_models_dims(df_allmetrics)
self.df_allmetrics = self.df_allmetrics.append(df_allmetrics).ffill().tail((max(self.lags_n.values()) + max(self.smooth_n.values()) + max(self.diffs_n.values())) * 2)