chore: remove debug code

cloudforet-io · Sep 11, 2023 · 616b033 · 616b033
1 parent f6e2aa1
commit 616b033
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Showing 2 changed files with 3 additions and 4 deletions.
diff --git a/src/spaceone/cost_analysis/manager/cost_manager.py b/src/spaceone/cost_analysis/manager/cost_manager.py
@@ -124,15 +124,15 @@ def analyze_yearly_costs(self, query, target='SECONDARY_PREFERRED'):
     def stat_monthly_costs_with_cache(self, query, query_hash, domain_id, data_source_id):
         return self.stat_monthly_costs(query)
 
-    # @cache.cacheable(key='analyze-costs:daily:{domain_id}:{data_source_id}:{query_hash}', expire=3600 * 24)
+    @cache.cacheable(key='analyze-costs:daily:{domain_id}:{data_source_id}:{query_hash}', expire=3600 * 24)
     def analyze_costs_with_cache(self, query, query_hash, domain_id, data_source_id, target='SECONDARY_PREFERRED'):
         return self.analyze_costs(query, target)
 
-    # @cache.cacheable(key='analyze-costs:monthly:{domain_id}:{data_source_id}:{query_hash}', expire=3600 * 24)
+    @cache.cacheable(key='analyze-costs:monthly:{domain_id}:{data_source_id}:{query_hash}', expire=3600 * 24)
     def analyze_monthly_costs_with_cache(self, query, query_hash, domain_id, data_source_id, target='SECONDARY_PREFERRED'):
         return self.analyze_monthly_costs(query, target)
 
-    # @cache.cacheable(key='analyze-costs:yearly:{domain_id}:{data_source_id}:{query_hash}', expire=3600 * 24)
+    @cache.cacheable(key='analyze-costs:yearly:{domain_id}:{data_source_id}:{query_hash}', expire=3600 * 24)
     def analyze_yearly_costs_with_cache(self, query, query_hash, domain_id, data_source_id, target='SECONDARY_PREFERRED'):
         return self.analyze_yearly_costs(query, target)
 

diff --git a/src/spaceone/cost_analysis/service/job_service.py b/src/spaceone/cost_analysis/service/job_service.py
@@ -575,7 +575,6 @@ def _aggregate_monthly_cost_data(self, data_source_id, domain_id, job_id, job_ta
             'allow_disk_use': True      # Allow disk use for large data
         }
 
-        _LOGGER.debug(f'[_aggregate_monthly_cost_data] query: {query}')
         response = self.cost_mgr.analyze_costs(query)
         results = response.get('results', [])
         for aggregated_cost_data in results: