Cache AAI data

Add profiler decorator

Change-Id: I280b5799fa876d881dc2331b44dd34344437eba3
Issue-ID: MULTICLOUD-417
Signed-off-by: Bin Yang <bin.yang@windriver.com>

diff --git a/share/common/msapi/extsys.py b/share/common/msapi/extsys.py
index e153452..9b65072 100644 (file)
--- a/share/common/msapi/extsys.py
+++ b/share/common/msapi/extsys.py
@@ -12,6 +12,7 @@
 import json
 import logging
 import re
+from django.core.cache import cache
 
 from common.exceptions import VimDriverNewtonException
 from common.utils import restcall
@@ -22,6 +23,12 @@ logger = logging.getLogger(__name__)
 
 def get_vim_by_id(vim_id):
 
+    # try to load from cache
+    cachedviminfostr = cache.get("VIMINFOCACHE_"+vim_id)
+    if cachedviminfostr:
+        viminfo = json.loads(cachedviminfostr)
+        return viminfo
+
     cloud_owner,cloud_region_id = decode_vim_id(vim_id)
 
     if cloud_owner and cloud_region_id:
@@ -74,6 +81,8 @@ def get_vim_by_id(vim_id):
             viminfo['openstack_region_id'] = tmp_viminfo.get("cloud-epa-caps") \
                 if tmp_viminfo.get("cloud-epa-caps") else cloud_region_id
 
+            # cache the viminfo for 24 hour
+            cache.set("VIMINFOCACHE_"+vim_id, json.dumps(viminfo), 3600*24)
             return viminfo
     return None
 

diff --git a/share/newton_base/util.py b/share/newton_base/util.py
index e925d99..aa03b65 100644 (file)
--- a/share/newton_base/util.py
+++ b/share/newton_base/util.py
@@ -22,6 +22,11 @@ from keystoneauth1 import session
 
 from common.msapi import extsys
 
+# profiler decoration
+import cProfile
+import pstats
+import os
+
 logger = logging.getLogger(__name__)
 
 
@@ -147,3 +152,28 @@ class VimDriverUtils(object):
     def replace_key_by_mapping(dict_obj, mapping, reverse=False):
         for k in mapping:
             VimDriverUtils._replace_a_key(dict_obj, k, reverse)
+
+    # profiler decoration
+    @staticmethod
+    def do_cprofile(filename):
+        """
+        Decorator for function profiling.
+        """
+        def wrapper(func):
+            def profiled_func(*args, **kwargs):
+                # Flag for do profiling or not.
+                DO_PROF = True # os.getenv("PROFILING")
+                if DO_PROF:
+                    profile = cProfile.Profile()
+                    profile.enable()
+                    result = func(*args, **kwargs)
+                    profile.disable()
+                    # Sort stat by internal time.
+                    sortby = "tottime"
+                    ps = pstats.Stats(profile).sort_stats(sortby)
+                    ps.dump_stats(filename)
+                else:
+                    result = func(*args, **kwargs)
+                return result
+            return profiled_func
+        return wrapper