remove multiple instances of the same resource type (#182)

infracost-usage-example.yml

@@ -1332,52 +1332,26 @@ resource_usage:
     sysdig-monitor_API_CALL_HOURS: 1000 # Additional API calls above the base 1M/instance
     sysdig-monitor_TIME_SERIES_HOURS: 1000 # Additional time-series cost above the base 1000/host
     continuousdelivery_authorized_users: 10 # Number of authorized users to the CD instance and its managed toolchains
-
-  ibm_resource_instance.watson_machine_learning_standard:
     wml_capacity_unit_hour: 20 # Amount of Capacity Unit-Hours used in a month
     wml_instance: 1 # The number of instances per month where each instance includes 2500 CUHs
     wml_class1_ru: 20 # The number of resource units used for inferencing with class 1 type models where each ru is 1000 tokens
     wml_class2_ru: 20 # The number of resource units used for inferencing with class 2 type models where each ru is 1000 tokens
     wml_class3_ru: 20 # The number of resource units used for inferencing with class 3 type models where each ru is 1000 tokens
-
-  ibm_resource_instance.watson_assistant_plus:
     wa_instance: 1 # The number of instances used per month where each instance includes 1000 monthly active users
     wa_monthly_active_users: 1100 # The number of monthly active users
     wa_monthly_voice_users: 100 # The number of monthly active voice users
-
-  ibm_resource_instance.watson_discovery_plus:
-    wd_instance: 1 # Number of instances used per month
-    wd_documents: 11000 # Number of monthly documents created; 10,000 included in the Plus plan; $50 for every additional 1,000 documents.
-    wd_queries: 11000 # Number of queries documents created; 10,000 included in the Plus plan; $20 for every additional 1,000 queries.
-
-  ibm_resource_instance.watson_discovery_enterprise:
     wd_instance: 1 # Number of instances used per month
     wd_documents: 101000 # Number of monthly documents created; 100,000 included in the Enterprise plan; $5 for every additional 1,000 documents.
     wd_queries: 101000 # Number of queries documents created; 100,000 included in the Enterprise plan; $5 for every additional 1,000 queries.
     wd_custom_models: 4 # Number of monthly custom models created; 3 included in the Enterprise plan; $500 for every additional custom model.
     wd_collections: 301 # Number of monthly collections created; 300 included in the Enterprise plan. $500 for every additional 100 collections.
-
-  ibm_resource_instance.scc_standard:
     scc_evaluations: 1
-
-  ibm_resource_instance.scc_trial:
-    scc_evaluations: 1
-
-  ibm_resource_instance.watson_studio_professional:
     data-science-experience_CAPACITY_UNIT_HOURS: 1 # Amount of Capacity Unit-Hours used in a month
-
-  ibm_resource_instance.sccwp_graduated_tier:
     sysdig-secure_MULTI_CLOUD_CSPM_COMPUTE_INSTANCES: 0
     sysdig-secure_NODE_HOURS: 0
     sysdig-secure_VM_NODE_HOUR: 501
-
-  ibm_resource_instance.watson_governance_essentials:
     aiopenscale_RESOURCE_UNITS: 1
-
-  ibm_resource_instance.watson_governance_standard_v2:
     aiopenscale_MODELS_PER_MONTH: 1
-
-  ibm_resource_instance.dns_services:
     dns-svcs_MILLION_ITEMS_CREXTERNALQUERIES: 11 # Tiered; 1-10, 10+
     dns-svcs_MILLION_ITEMS: 1001 # Tiered; 1-999, 999+, 1 included
     dns-svcs_NUMBERGLB: 1 # Number of GLB HOURS