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Posted to commits@kibble.apache.org by hu...@apache.org on 2017/10/22 21:49:28 UTC

[kibble] 01/03: reinstate single-person (email-only) timeseries

This is an automated email from the ASF dual-hosted git repository.

humbedooh pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/kibble.git

commit e986ca8cd9ef048e34ea5e26dca04f62b33178cb
Author: Daniel Gruno <hu...@apache.org>
AuthorDate: Sun Oct 22 23:49:01 2017 +0200

    reinstate single-person (email-only) timeseries
    
    let's call this timeseries-single for now.
---
 api/pages/mail/timeseries-single.py | 163 ++++++++++++++++++++++++++++++++++++
 1 file changed, 163 insertions(+)

diff --git a/api/pages/mail/timeseries-single.py b/api/pages/mail/timeseries-single.py
new file mode 100644
index 0000000..855539c
--- /dev/null
+++ b/api/pages/mail/timeseries-single.py
@@ -0,0 +1,163 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements.  See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License.  You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+########################################################################
+# OPENAPI-URI: /api/mail/timeseries-single
+########################################################################
+# get:
+#   responses:
+#     '200':
+#       content:
+#         application/json:
+#           schema:
+#             $ref: '#/components/schemas/Timeseries'
+#       description: 200 Response
+#     default:
+#       content:
+#         application/json:
+#           schema:
+#             $ref: '#/components/schemas/Error'
+#       description: unexpected error
+#   security:
+#   - cookieAuth: []
+#   summary: Shows email sent over time
+# post:
+#   requestBody:
+#     content:
+#       application/json:
+#         schema:
+#           $ref: '#/components/schemas/defaultWidgetArgs'
+#   responses:
+#     '200':
+#       content:
+#         application/json:
+#           schema:
+#             $ref: '#/components/schemas/Timeseries'
+#       description: 200 Response
+#     default:
+#       content:
+#         application/json:
+#           schema:
+#             $ref: '#/components/schemas/Error'
+#       description: unexpected error
+#   security:
+#   - cookieAuth: []
+#   summary: Shows email sent over time
+# 
+########################################################################
+
+
+
+
+
+"""
+This is the email-only timeseries renderer for Kibble
+unlike timeseries.py, this only shows mail sent, not topics or authors.
+"""
+
+import json
+import time
+import hashlib
+
+def run(API, environ, indata, session):
+    
+    # We need to be logged in for this!
+    if not session.user:
+        raise API.exception(403, "You must be logged in to use this API endpoint! %s")
+    
+    now = time.time()
+    
+    # First, fetch the view if we have such a thing enabled
+    viewList = []
+    if indata.get('view'):
+        viewList = session.getView(indata.get('view'))
+    if indata.get('subfilter'):
+        viewList = session.subFilter(indata.get('subfilter'), view = viewList) 
+    
+    
+    dateTo = indata.get('to', int(time.time()))
+    dateFrom = indata.get('from', dateTo - (86400*30*6)) # Default to a 6 month span
+    
+    interval = indata.get('interval', 'month')
+    
+    
+    ####################################################################
+    ####################################################################
+    dOrg = session.user['defaultOrganisation'] or "apache"
+    query = {
+                'query': {
+                    'bool': {
+                        'must': [
+                            {'range':
+                                {
+                                    'ts': {
+                                        'from': dateFrom,
+                                        'to': dateTo
+                                    }
+                                }
+                            },
+                            {
+                                'term': {
+                                    'organisation': dOrg
+                                }
+                            }
+                        ]
+                    }
+                }
+            }
+    # Source-specific or view-specific??
+    if indata.get('source'):
+        query['query']['bool']['must'].append({'term': {'sourceID': indata.get('source')}})
+    elif viewList:
+        query['query']['bool']['must'].append({'terms': {'sourceID': viewList}})
+    if indata.get('email'):
+        query['query']['bool']['should'] = [{'term': {'sender': indata.get('email')}}]
+        query['query']['bool']['minimum_should_match'] = 1
+    
+    # Get number of committers, this period
+    query['aggs'] = {
+            'timeseries': {
+                'date_histogram': {
+                    'field': 'date',
+                    'interval': interval
+                }
+            }
+        }
+    res = session.DB.ES.search(
+            index=session.DB.dbname,
+            doc_type="email",
+            size = 0,
+            body = query
+        )
+    
+    timeseries = []
+    for bucket in res['aggregations']['timeseries']['buckets']:
+        ts = int(bucket['key'] / 1000)
+        timeseries.append({
+            'date': ts,
+            'emails': bucket['doc_count']
+        })
+    
+    JSON_OUT = {
+        'widgetType': {
+            'chartType': 'bar'  # Recommendation for the UI
+        },
+        'timeseries': timeseries,
+        'interval': interval,
+        'okay': True,
+        'responseTime': time.time() - now
+    }
+    yield json.dumps(JSON_OUT)

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