api/pages/code/changes.py (102 lines of code) (raw):

#!/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/code/changes ######################################################################## # 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: Show insertions/deletions as a timeseries # 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: Show insertions/deletions as a timeseries # ######################################################################## """ This is the code changes timeseries renderer for Kibble """ import json import time 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 which = 'committer_email' role = 'committer' if indata.get('author', False): which = 'author_email' role = 'author' interval = indata.get('interval', 'day') #################################################################### #################################################################### dOrg = session.user['defaultOrganisation'] or "apache" query = { 'query': { 'bool': { 'must': [ {'range': { 'tsday': { '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': {'committer_email': indata.get('email')}}, {'term': {'author_email': indata.get('email')}}] query['query']['bool']['minimum_should_match'] = 1 # Path filter? if indata.get('pathfilter'): pf = indata.get('pathfilter') if '!' in pf: pf = pf.replace('!', '') query['query']['bool']['must_not'] = query['query']['bool'].get('must_not', []) query['query']['bool']['must_not'].append({'regexp': {'files_changed': pf}}) else: query['query']['bool']['must'].append({'regexp': {'files_changed': pf}}) # Get timeseries for this period query['aggs'] = { 'per_interval': { 'date_histogram': { 'field': 'date', 'interval': interval }, 'aggs': { 'insertions': { 'sum': { 'field': 'insertions' } }, 'deletions': { 'sum': { 'field': 'deletions' } } } } } res = session.DB.ES.search( index=session.DB.dbname, doc_type="code_commit", size = 0, body = query ) timeseries = [] for bucket in res['aggregations']['per_interval']['buckets']: ts = int(bucket['key'] / 1000) icount = bucket['insertions']['value'] dcount = bucket['deletions']['value'] timeseries.append({ 'date': ts, 'insertions': icount, 'deletions': dcount }) JSON_OUT = { 'timeseries': timeseries, 'interval': interval, 'okay': True, 'responseTime': time.time() - now, 'widgetType': { 'chartType': 'area' } } yield json.dumps(JSON_OUT)