in api/pages/mail/timeseries.py [0:0]
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', 'month')
####################################################################
####################################################################
dOrg = session.user['defaultOrganisation'] or "apache"
query = {
'query': {
'bool': {
'must': [
{'range':
{
'date': {
'from': time.strftime("%Y/%m/%d 00:00:00", time.gmtime(dateFrom)),
'to': time.strftime("%Y/%m/%d 23:59:59", time.gmtime(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
},
'aggs': {
'email': {
'sum': {
'field': 'emails'
}
},
'topics': {
'sum': {
'field': 'topics'
}
},
'authors': {
'sum': {
'field': 'authors'
}
}
}
}
}
res = session.DB.ES.search(
index=session.DB.dbname,
doc_type="mailstats",
size = 0,
body = query
)
timeseries = []
for bucket in res['aggregations']['timeseries']['buckets']:
ts = int(bucket['key'] / 1000)
timeseries.append({
'date': ts,
'emails': bucket['email']['value'],
'topics': bucket['topics']['value'],
'authors': bucket['authors']['value']
})
JSON_OUT = {
'widgetType': {
'chartType': 'bar' # Recommendation for the UI
},
'timeseries': timeseries,
'interval': interval,
'okay': True,
'responseTime': time.time() - now
}
yield json.dumps(JSON_OUT)