Updated terraform discovery code for pingdom (#9)

* Updated terraform discovery code for pingdom

* Updated for pingdom

* Working version with no pingdom.tf check

* Added check to verify pingdom resource exists in namespace or not

* Updated to comment json import and print statements

* Update terraform_discovery.py

Addressed  Matt's comment

* Update terraform_discovery.py

Corrected SC ID variable for elasticache and pingdom

* Updated lambda variables for elasticache and pingdom

* Update terraform_discovery.py

Corrected variable name for elasticache

terraform_discovery.py

@@ -151,14 +151,43 @@ def process_repo(**component):
             # If there are any rds instances in the existing SC data
             if sc_data[0]["attributes"]["elasticache_cluster"]:
               # Find the elasticache cluster SC ID that matches
-              rds_id = list(filter(lambda rds: rds['tf_path'] == elasticache_cluster['__tfmeta']['path'], sc_data[0]["attributes"]["elasticache_cluster"]))[0]['id']
-              elasticache_cluster.update({'id': rds_id})
+              elasticache_id = list(filter(lambda elasticache: elasticache['tf_path'] == elasticache_cluster['__tfmeta']['path'], sc_data[0]["attributes"]["elasticache_cluster"]))[0]['id']
+              elasticache_cluster.update({'id': elasticache_id})
           except (IndexError,KeyError):
             pass
 
           # Clean up field not used in post to SC
           del elasticache_cluster['__tfmeta']
           data.update({"elasticache_cluster": [elasticache_cluster]})
+
+      if 'pingdom_check' in parsed.keys() :
+        for r in parsed['pingdom_check']:
+          # Look for RDS instances.
+          if "http" in r['type']:
+            pingdom_check = r
+            # Delete ID that is generated by tfparse
+            del pingdom_check['id']
+            # Process fields
+            pingdom_check.update({'tf_label': pingdom_check['__tfmeta']['label']})
+            pingdom_check.update({'tf_filename': pingdom_check['__tfmeta']['filename']})
+            pingdom_check.update({'tf_path': pingdom_check['__tfmeta']['path']})
+            pingdom_check.update({'tf_line_end': pingdom_check['__tfmeta']['line_end']})
+            pingdom_check.update({'tf_line_start': pingdom_check['__tfmeta']['line_start']})
+            # pingdom_check.update({'tf_mod_version': tf_mod_version})
+            # Check for existing instance in SC and update same ID if so.
+            try:
+              # If there are any rds instances in the existing SC data
+              if sc_data[0]["attributes"]["pingdom_check"]:
+                # Find the Pingdom check SC ID that matches
+                pingdom_id = list(filter(lambda pingdom: pingdom['tf_path'] == pingdom_check['__tfmeta']['path'], sc_data[0]["attributes"]["pingdom_check"]))[0]['id']
+                pingdom_check.update({'id': pingdom_id})
+            except IndexError:
+              pass
+
+            # Clean up field not used in post to SC
+            del pingdom_check['__tfmeta']
+            data.update({"pingdom_check": [pingdom_check]})
+
       print(data)
       update_sc_namespace(namespace_id, data)