New upstream version 1.7.0+dfsgupstream/1.7.0+dfsg

1 files changed, 101 insertions, 97 deletions

diff --git a/python.d/elasticsearch.chart.py b/python.d/elasticsearch.chart.py
index 430227f69..9ec08719c 100644
--- a/python.d/elasticsearch.chart.py
+++ b/python.d/elasticsearch.chart.py
@@ -85,6 +85,21 @@ HEALTH_STATS = [
     ('active_shards_percent_as_number', 'health_active_shards_percent_as_number', None)
 ]
 
+LATENCY = {
+    'query_latency':
+        {'total': 'query_total',
+         'spent_time': 'query_time_in_millis'},
+    'fetch_latency':
+        {'total': 'fetch_total',
+         'spent_time': 'fetch_time_in_millis'},
+    'indexing_latency':
+        {'total': 'indexing_index_total',
+         'spent_time': 'indexing_index_time_in_millis'},
+    'flushing_latency':
+        {'total': 'flush_total',
+         'spent_time': 'flush_total_time_in_millis'}
+}
+
 # charts order (can be overridden if you want less charts, or different order)
 ORDER = ['search_perf_total', 'search_perf_current', 'search_perf_time', 'search_latency', 'index_perf_total',
          'index_perf_current', 'index_perf_time', 'index_latency', 'jvm_mem_heap', 'jvm_gc_count',
@@ -95,34 +110,34 @@ ORDER = ['search_perf_total', 'search_perf_current', 'search_perf_time', 'search
 
 CHARTS = {
     'search_perf_total': {
-        'options': [None, 'Total number of queries, fetches', 'number of', 'search performance',
+        'options': [None, 'Queries And Fetches', 'number of', 'search performance',
                     'es.search_query_total', 'stacked'],
         'lines': [
             ['query_total', 'queries', 'incremental'],
             ['fetch_total', 'fetches', 'incremental']
         ]},
     'search_perf_current': {
-        'options': [None, 'Number of queries, fetches in progress', 'number of', 'search performance',
+        'options': [None, 'Queries and  Fetches In Progress', 'number of', 'search performance',
                     'es.search_query_current', 'stacked'],
         'lines': [
             ['query_current', 'queries', 'absolute'],
             ['fetch_current', 'fetches', 'absolute']
         ]},
     'search_perf_time': {
-        'options': [None, 'Time spent on queries, fetches', 'seconds', 'search performance',
+        'options': [None, 'Time Spent On Queries And Fetches', 'seconds', 'search performance',
                     'es.search_time', 'stacked'],
         'lines': [
             ['query_time_in_millis', 'query', 'incremental', 1, 1000],
             ['fetch_time_in_millis', 'fetch', 'incremental', 1, 1000]
         ]},
     'search_latency': {
-        'options': [None, 'Query and fetch latency', 'ms', 'search performance', 'es.search_latency', 'stacked'],
+        'options': [None, 'Query And Fetch Latency', 'ms', 'search performance', 'es.search_latency', 'stacked'],
         'lines': [
             ['query_latency', 'query', 'absolute', 1, 1000],
             ['fetch_latency', 'fetch', 'absolute', 1, 1000]
         ]},
     'index_perf_total': {
-        'options': [None, 'Total number of documents indexed, index refreshes, index flushes to disk', 'number of',
+        'options': [None, 'Indexed Documents, Index Refreshes, Index Flushes To Disk', 'number of',
                     'indexing performance', 'es.index_performance_total', 'stacked'],
         'lines': [
             ['indexing_index_total', 'indexed', 'incremental'],
@@ -130,13 +145,13 @@ CHARTS = {
             ['flush_total', 'flushes', 'incremental']
         ]},
     'index_perf_current': {
-        'options': [None, 'Number of documents currently being indexed', 'currently indexed',
+        'options': [None, 'Number Of Documents Currently Being Indexed', 'currently indexed',
                     'indexing performance', 'es.index_performance_current', 'stacked'],
         'lines': [
             ['indexing_index_current', 'documents', 'absolute']
         ]},
     'index_perf_time': {
-        'options': [None, 'Time spent on indexing, refreshing, flushing', 'seconds', 'indexing performance',
+        'options': [None, 'Time Spent On Indexing, Refreshing, Flushing', 'seconds', 'indexing performance',
                     'es.search_time', 'stacked'],
         'lines': [
             ['indexing_index_time_in_millis', 'indexing', 'incremental', 1, 1000],
@@ -144,33 +159,33 @@ CHARTS = {
             ['flush_total_time_in_millis', 'flushing', 'incremental', 1, 1000]
         ]},
     'index_latency': {
-        'options': [None, 'Indexing and flushing latency', 'ms', 'indexing performance',
+        'options': [None, 'Indexing And Flushing Latency', 'ms', 'indexing performance',
                     'es.index_latency', 'stacked'],
         'lines': [
             ['indexing_latency', 'indexing', 'absolute', 1, 1000],
             ['flushing_latency', 'flushing', 'absolute', 1, 1000]
         ]},
     'jvm_mem_heap': {
-        'options': [None, 'JVM heap currently in use/committed', 'percent/MB', 'memory usage and gc',
+        'options': [None, 'JVM Heap Currently in Use/Committed', 'percent/MB', 'memory usage and gc',
                     'es.jvm_heap', 'area'],
         'lines': [
             ['jvm_heap_percent', 'inuse', 'absolute'],
             ['jvm_heap_commit', 'commit', 'absolute', -1, 1048576]
         ]},
     'jvm_gc_count': {
-        'options': [None, 'Count of garbage collections', 'counts', 'memory usage and gc', 'es.gc_count', 'stacked'],
+        'options': [None, 'Garbage Collections', 'counts', 'memory usage and gc', 'es.gc_count', 'stacked'],
         'lines': [
             ['young_collection_count', 'young', 'incremental'],
             ['old_collection_count', 'old', 'incremental']
         ]},
     'jvm_gc_time': {
-        'options': [None, 'Time spent on garbage collections', 'ms', 'memory usage and gc', 'es.gc_time', 'stacked'],
+        'options': [None, 'Time Spent On Garbage Collections', 'ms', 'memory usage and gc', 'es.gc_time', 'stacked'],
         'lines': [
             ['young_collection_time_in_millis', 'young', 'incremental'],
             ['old_collection_time_in_millis', 'old', 'incremental']
         ]},
     'thread_pool_qr_q': {
-        'options': [None, 'Number of queued threads in thread pool', 'queued threads', 'queues and rejections',
+        'options': [None, 'Number Of Queued Threads In Thread Pool', 'queued threads', 'queues and rejections',
                     'es.thread_pool_queued', 'stacked'],
         'lines': [
             ['bulk_queue', 'bulk', 'absolute'],
@@ -179,7 +194,7 @@ CHARTS = {
             ['merge_queue', 'merge', 'absolute']
         ]},
     'thread_pool_qr_r': {
-        'options': [None, 'Number of rejected threads in thread pool', 'rejected threads', 'queues and rejections',
+        'options': [None, 'Rejected Threads In Thread Pool', 'rejected threads', 'queues and rejections',
                     'es.thread_pool_rejected', 'stacked'],
         'lines': [
             ['bulk_rejected', 'bulk', 'absolute'],
@@ -188,19 +203,19 @@ CHARTS = {
             ['merge_rejected', 'merge', 'absolute']
         ]},
     'fdata_cache': {
-        'options': [None, 'Fielddata cache size', 'MB', 'fielddata cache', 'es.fdata_cache', 'line'],
+        'options': [None, 'Fielddata Cache', 'MB', 'fielddata cache', 'es.fdata_cache', 'line'],
         'lines': [
             ['index_fdata_memory', 'cache', 'absolute', 1, 1048576]
         ]},
     'fdata_ev_tr': {
-        'options': [None, 'Fielddata evictions and circuit breaker tripped count', 'number of events',
+        'options': [None, 'Fielddata Evictions And Circuit Breaker Tripped Count', 'number of events',
                     'fielddata cache', 'es.evictions_tripped', 'line'],
         'lines': [
             ['evictions', None, 'incremental'],
             ['tripped', None, 'incremental']
         ]},
     'cluster_health_nodes': {
-        'options': [None, 'Nodes and tasks statistics', 'units', 'cluster health API',
+        'options': [None, 'Nodes And Tasks Statistics', 'units', 'cluster health API',
                     'es.cluster_health_nodes', 'stacked'],
         'lines': [
             ['health_number_of_nodes', 'nodes', 'absolute'],
@@ -209,7 +224,7 @@ CHARTS = {
             ['health_number_of_in_flight_fetch', 'in_flight_fetch', 'absolute']
         ]},
     'cluster_health_status': {
-        'options': [None, 'Cluster status', 'status', 'cluster health API',
+        'options': [None, 'Cluster Status', 'status', 'cluster health API',
                     'es.cluster_health_status', 'area'],
         'lines': [
             ['status_green', 'green', 'absolute'],
@@ -220,7 +235,7 @@ CHARTS = {
             ['status_yellow', 'yellow', 'absolute']
         ]},
     'cluster_health_shards': {
-        'options': [None, 'Shards statistics', 'shards', 'cluster health API',
+        'options': [None, 'Shards Statistics', 'shards', 'cluster health API',
                     'es.cluster_health_shards', 'stacked'],
         'lines': [
             ['health_active_shards', 'active_shards', 'absolute'],
@@ -231,7 +246,7 @@ CHARTS = {
             ['health_active_shards_percent_as_number', 'active_percent', 'absolute']
         ]},
     'cluster_stats_nodes': {
-        'options': [None, 'Nodes statistics', 'nodes', 'cluster stats API',
+        'options': [None, 'Nodes Statistics', 'nodes', 'cluster stats API',
                     'es.cluster_nodes', 'stacked'],
         'lines': [
             ['count_data_only', 'data_only', 'absolute'],
@@ -241,46 +256,46 @@ CHARTS = {
             ['count_client', 'client', 'absolute']
         ]},
     'cluster_stats_query_cache': {
-        'options': [None, 'Query cache statistics', 'queries', 'cluster stats API',
+        'options': [None, 'Query Cache Statistics', 'queries', 'cluster stats API',
                     'es.cluster_query_cache', 'stacked'],
         'lines': [
             ['query_cache_hit_count', 'hit', 'incremental'],
             ['query_cache_miss_count', 'miss', 'incremental']
         ]},
     'cluster_stats_docs': {
-        'options': [None, 'Docs statistics', 'count', 'cluster stats API',
+        'options': [None, 'Docs Statistics', 'count', 'cluster stats API',
                     'es.cluster_docs', 'line'],
         'lines': [
             ['docs_count', 'docs', 'absolute']
         ]},
     'cluster_stats_store': {
-        'options': [None, 'Store statistics', 'MB', 'cluster stats API',
+        'options': [None, 'Store Statistics', 'MB', 'cluster stats API',
                     'es.cluster_store', 'line'],
         'lines': [
             ['store_size_in_bytes', 'size', 'absolute', 1, 1048567]
         ]},
     'cluster_stats_indices_shards': {
-        'options': [None, 'Indices and shards statistics', 'count', 'cluster stats API',
+        'options': [None, 'Indices And Shards Statistics', 'count', 'cluster stats API',
                     'es.cluster_indices_shards', 'stacked'],
         'lines': [
             ['indices_count', 'indices', 'absolute'],
             ['shards_total', 'shards', 'absolute']
         ]},
     'host_metrics_transport': {
-        'options': [None, 'Cluster communication transport metrics', 'kbit/s', 'host metrics',
+        'options': [None, 'Cluster Communication Transport Metrics', 'kilobit/s', 'host metrics',
                     'es.host_transport', 'area'],
         'lines': [
             ['transport_rx_size_in_bytes', 'in', 'incremental', 8, 1000],
             ['transport_tx_size_in_bytes', 'out', 'incremental', -8, 1000]
         ]},
     'host_metrics_file_descriptors': {
-        'options': [None, 'Available file descriptors in percent', 'percent', 'host metrics',
+        'options': [None, 'Available File Descriptors In Percent', 'percent', 'host metrics',
                     'es.host_descriptors', 'area'],
         'lines': [
             ['file_descriptors_used', 'used', 'absolute', 1, 10]
         ]},
     'host_metrics_http': {
-        'options': [None, 'Opened HTTP connections', 'connections', 'host metrics',
+        'options': [None, 'Opened HTTP Connections', 'connections', 'host metrics',
                     'es.host_http_connections', 'line'],
         'lines': [
             ['http_current_open', 'opened', 'absolute', 1, 1]
@@ -300,12 +315,13 @@ class Service(UrlService):
         self.methods = list()
 
     def check(self):
-        # We can't start if <host> AND <port> not specified
-        if not all([self.host, self.port, isinstance(self.host, str), isinstance(self.port, (str, int))]):
+        if not all([self.host,
+                    self.port,
+                    isinstance(self.host, str),
+                    isinstance(self.port, (str, int))]):
             self.error('Host is not defined in the module configuration file')
             return False
 
-        # It as a bad idea to use hostname.
         # Hostname -> ip address
         try:
             self.host = gethostbyname(self.host)
@@ -313,45 +329,33 @@ class Service(UrlService):
             self.error(str(error))
             return False
 
-        scheme = 'http' if self.scheme else 'https'
+        scheme = 'http' if self.scheme == 'http' else 'https'
         # Add handlers (auth, self signed cert accept)
         self.url = '%s://%s:%s' % (scheme, self.host, self.port)
-        self._UrlService__add_openers()
+        self.opener = self._build_opener()
         # Create URL for every Elasticsearch API
         url_node_stats = '%s://%s:%s/_nodes/_local/stats' % (scheme, self.host, self.port)
         url_cluster_health = '%s://%s:%s/_cluster/health' % (scheme, self.host, self.port)
         url_cluster_stats = '%s://%s:%s/_cluster/stats' % (scheme, self.host, self.port)
 
-        # Create list of enabled API calls
         user_choice = [bool(self.configuration.get('node_stats', True)),
                        bool(self.configuration.get('cluster_health', True)),
                        bool(self.configuration.get('cluster_stats', True))]
 
-        avail_methods = [METHODS(get_data_function=self._get_node_stats_, url=url_node_stats),
-                         METHODS(get_data_function=self._get_cluster_health_, url=url_cluster_health),
-                         METHODS(get_data_function=self._get_cluster_stats_, url=url_cluster_stats)]
+        avail_methods = [METHODS(get_data_function=self._get_node_stats_,
+                                 url=url_node_stats),
+                         METHODS(get_data_function=self._get_cluster_health_,
+                                 url=url_cluster_health),
+                         METHODS(get_data_function=self._get_cluster_stats_,
+                                 url=url_cluster_stats)]
 
         # Remove disabled API calls from 'avail methods'
         self.methods = [avail_methods[e[0]] for e in enumerate(avail_methods) if user_choice[e[0]]]
-
-        # Run _get_data for ALL active API calls. 
-        api_check_result = dict()
-        data_from_check = dict()
-        for method in self.methods:
-            try:
-                api_check_result[method.url] = method.get_data_function(None, method.url)
-                data_from_check.update(api_check_result[method.url] or dict())
-            except KeyError as error:
-                self.error('Failed to parse %s. Error: %s'  % (method.url, str(error)))
-                return False
-
-        # We can start ONLY if all active API calls returned NOT None
-        if not all(api_check_result.values()):
-            self.error('Plugin could not get data from all APIs')
+        data = self._get_data()
+        if not data:
             return False
-        else:
-            self._data_from_check = data_from_check
-            return True
+        self._data_from_check = data
+        return True
 
     def _get_data(self):
         threads = list()
@@ -359,7 +363,8 @@ class Service(UrlService):
         result = dict()
 
         for method in self.methods:
-            th = Thread(target=method.get_data_function, args=(queue, method.url))
+            th = Thread(target=method.get_data_function,
+                        args=(queue, method.url))
             th.start()
             threads.append(th)
 
@@ -378,18 +383,18 @@ class Service(UrlService):
         raw_data = self._get_raw_data(url)
 
         if not raw_data:
-            return queue.put(dict()) if queue else None
-        else:
-            data = loads(raw_data)
+            return queue.put(dict())
 
-            to_netdata = fetch_data_(raw_data=data, metrics_list=HEALTH_STATS)
+        data = loads(raw_data)
+        to_netdata = fetch_data_(raw_data=data,
+                                 metrics_list=HEALTH_STATS)
 
-            to_netdata.update({'status_green': 0, 'status_red': 0, 'status_yellow': 0,
-                               'status_foo1': 0, 'status_foo2': 0, 'status_foo3': 0})
-            current_status = 'status_' + data['status']
-            to_netdata[current_status] = 1
+        to_netdata.update({'status_green': 0, 'status_red': 0, 'status_yellow': 0,
+                           'status_foo1': 0, 'status_foo2': 0, 'status_foo3': 0})
+        current_status = 'status_' + data['status']
+        to_netdata[current_status] = 1
 
-            return queue.put(to_netdata) if queue else to_netdata
+        return queue.put(to_netdata)
 
     def _get_cluster_stats_(self, queue, url):
         """
@@ -400,13 +405,13 @@ class Service(UrlService):
         raw_data = self._get_raw_data(url)
 
         if not raw_data:
-            return queue.put(dict()) if queue else None
-        else:
-            data = loads(raw_data)
+            return queue.put(dict())
 
-            to_netdata = fetch_data_(raw_data=data, metrics_list=CLUSTER_STATS)
+        data = loads(raw_data)
+        to_netdata = fetch_data_(raw_data=data,
+                                 metrics_list=CLUSTER_STATS)
 
-            return queue.put(to_netdata) if queue else to_netdata
+        return queue.put(to_netdata)
 
     def _get_node_stats_(self, queue, url):
         """
@@ -417,47 +422,46 @@ class Service(UrlService):
         raw_data = self._get_raw_data(url)
 
         if not raw_data:
-            return queue.put(dict()) if queue else None
-        else:
-            data = loads(raw_data)
-
-            node = list(data['nodes'].keys())[0]
-            to_netdata = fetch_data_(raw_data=data['nodes'][node], metrics_list=NODE_STATS)
+            return queue.put(dict())
 
-            # Search performance latency
-            to_netdata['query_latency'] = self.find_avg_(to_netdata['query_total'],
-                                                         to_netdata['query_time_in_millis'], 'query_latency')
-            to_netdata['fetch_latency'] = self.find_avg_(to_netdata['fetch_total'],
-                                                         to_netdata['fetch_time_in_millis'], 'fetch_latency')
+        data = loads(raw_data)
 
-            # Indexing performance latency
-            to_netdata['indexing_latency'] = self.find_avg_(to_netdata['indexing_index_total'],
-                                                            to_netdata['indexing_index_time_in_millis'], 'index_latency')
-            to_netdata['flushing_latency'] = self.find_avg_(to_netdata['flush_total'],
-                                                            to_netdata['flush_total_time_in_millis'], 'flush_latency')
+        node = list(data['nodes'].keys())[0]
+        to_netdata = fetch_data_(raw_data=data['nodes'][node],
+                                 metrics_list=NODE_STATS)
 
+        # Search, index, flush, fetch performance latency
+        for key in LATENCY:
+            try:
+                to_netdata[key] = self.find_avg_(total=to_netdata[LATENCY[key]['total']],
+                                                 spent_time=to_netdata[LATENCY[key]['spent_time']],
+                                                 key=key)
+            except KeyError:
+                continue
+        if 'open_file_descriptors' in to_netdata and 'max_file_descriptors' in to_netdata:
             to_netdata['file_descriptors_used'] = round(float(to_netdata['open_file_descriptors'])
                                                         / to_netdata['max_file_descriptors'] * 1000)
 
-            return queue.put(to_netdata) if queue else to_netdata
+        return queue.put(to_netdata)
 
-    def find_avg_(self, value1, value2, key):
+    def find_avg_(self, total, spent_time, key):
         if key not in self.latency:
-            self.latency.update({key: [value1, value2]})
+            self.latency[key] = dict(total=total,
+                                     spent_time=spent_time)
             return 0
-        else:
-            if not self.latency[key][0] == value1:
-                latency = round(float(value2 - self.latency[key][1]) / float(value1 - self.latency[key][0]) * 1000)
-                self.latency.update({key: [value1, value2]})
-                return latency
-            else:
-                self.latency.update({key: [value1, value2]})
-                return 0
+        if self.latency[key]['total'] != total:
+            latency = float(spent_time - self.latency[key]['spent_time'])\
+                      / float(total - self.latency[key]['total']) * 1000
+            self.latency[key]['total'] = total
+            self.latency[key]['spent_time'] = spent_time
+            return latency
+        self.latency[key]['spent_time'] = spent_time
+        return 0
 
 
 def fetch_data_(raw_data, metrics_list):
     to_netdata = dict()
-    for metric, new_name, function in metrics_list:
+    for metric, new_name, func in metrics_list:
         value = raw_data
         for key in metric.split('.'):
             try:
@@ -465,7 +469,7 @@ def fetch_data_(raw_data, metrics_list):
             except KeyError:
                 break
         if not isinstance(value, dict) and key:
-            to_netdata[new_name or key] = value if not function else function(value)
+            to_netdata[new_name or key] = value if not func else func(value)
 
     return to_netdata