blob: 83fd305dd1583bc66a49279266bf6790a7a92e88 [file]
# 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)