def hot_changes(es, index, repository_fullname, params):
params = deepcopy(params)
size = params.get("size")
# Set a significant depth to get an 'accurate' average value
params["size"] = 500
top_commented_changes = changes_top_commented(es, index,
repository_fullname, params)
# Keep changes with comment events > average
top_commented_changes = [
change for change in top_commented_changes["items"]
if change["doc_count"] > top_commented_changes["count_avg"]
]
mapping = {}
for top_commented_change in top_commented_changes:
mapping[
top_commented_change["key"]] = top_commented_change["doc_count"]
change_ids = [_id["key"] for _id in top_commented_changes]
if not change_ids:
return {"items": []}
_params = {
"etype": ("Change", ),
"state": "OPEN",
"change_ids": change_ids,
}
changes = _scan(es, index, repository_fullname, _params)
for change in changes:
change["hot_score"] = mapping[change["change_id"]]
changes = enhance_changes(changes)
items = sorted(changes, key=lambda x: x["hot_score"], reverse=True)
if size:
items = items[:size]
return {"items": items}
def changes_and_events(es, index, repository_fullname, params):
params = deepcopy(params)
params["etype"] = (
"Change",
"ChangeCreatedEvent",
"ChangeMergedEvent",
"ChangeAbandonedEvent",
"ChangeCommitPushedEvent",
"ChangeCommitForcePushedEvent",
"ChangeReviewedEvent",
"ChangeCommentedEvent",
)
body = {
"sort": [{
"created_at": {
"order": "asc"
}
}],
"size": params["size"],
"from": params["from"],
"query": generate_filter(es, index, repository_fullname, params),
}
data = run_query(es, index, body)
changes = [r["_source"] for r in data["hits"]["hits"]]
changes = enhance_changes(changes)
return {"items": changes, "total": totalc(data["hits"]["total"])}
def changes_and_events(es, index, repository_fullname, params):
params = deepcopy(params)
params['etype'] = (
"Change",
'ChangeCreatedEvent',
"ChangeMergedEvent",
"ChangeAbandonedEvent",
"ChangeCommitPushedEvent",
"ChangeCommitForcePushedEvent",
"ChangeReviewedEvent",
"ChangeCommentedEvent",
)
body = {
"sort": [{
"created_at": {
"order": "asc"
}
}],
"size": params['size'],
"from": params['from'],
"query": generate_filter(repository_fullname, params),
}
data = run_query(es, index, body)
changes = [r['_source'] for r in data['hits']['hits']]
changes = enhance_changes(changes)
return {'items': changes, 'total': data['hits']['total']}
def hot_changes(es, index, repository_fullname, params):
params = deepcopy(params)
size = params.get('size')
# Set a significant depth to get an 'accurate' average value
params['size'] = 500
top_commented_changes = changes_top_commented(es, index,
repository_fullname, params)
# Keep changes with comment events > average
top_commented_changes = [
change for change in top_commented_changes['items']
if change['doc_count'] > top_commented_changes['count_avg']
]
mapping = {}
for top_commented_change in top_commented_changes:
mapping[
top_commented_change['key']] = top_commented_change['doc_count']
change_ids = [_id['key'] for _id in top_commented_changes]
if not change_ids:
return {'items': []}
_params = {
'etype': ('Change', ),
'state': 'OPEN',
'change_ids': change_ids,
}
changes = _scan(es, index, repository_fullname, _params)
for change in changes:
change['hot_score'] = mapping[change['change_id']]
changes = enhance_changes(changes)
items = sorted(changes, key=lambda x: x['hot_score'], reverse=True)
if size:
items = items[:size]
return {'items': items}
def changes(es, index, repository_fullname, params):
params = deepcopy(params)
params["etype"] = ["Change"]
body = {
"sort": [{"created_at": {"order": "asc"}}],
"size": params["size"],
"from": params["from"],
"query": generate_filter(es, index, repository_fullname, params),
}
data = run_query(es, index, body)
changes = [r["_source"] for r in data["hits"]["hits"]]
changes = enhance_changes(changes)
return {"items": changes, "total": totalc(data["hits"]["total"])}
def last_changes(es, index, repository_fullname, params):
params = deepcopy(params)
params['etype'] = ("Change",)
body = {
"sort": [{"updated_at": {"order": "desc"}}],
"size": params['size'],
"from": params['from'],
"query": generate_filter(es, index, repository_fullname, params),
}
data = run_query(es, index, body)
changes = [r['_source'] for r in data['hits']['hits']]
changes = enhance_changes(changes)
return {'items': changes, 'total': totalc(data['hits']['total'])}
def cold_changes(es, index, repository_fullname, params):
params = deepcopy(params)
size = params.get("size")
params["etype"] = ("Change",)
params["state"] = ("OPEN",)
changes = _scan(es, index, repository_fullname, params)
_changes_ids = set([change["change_id"] for change in changes])
params["etype"] = ("ChangeCommentedEvent", "ChangeReviewedEvent")
del params["state"]
events = _scan(es, index, repository_fullname, params)
_events_ids = set([event["change_id"] for event in events])
changes_ids_wo_rc = _changes_ids.difference(_events_ids)
changes_wo_rc = [
change for change in changes if change["change_id"] in changes_ids_wo_rc
]
changes_wo_rc = enhance_changes(changes_wo_rc)
items = sorted(changes_wo_rc, key=lambda x: is8601_to_dt(x["created_at"]))
if size:
items = items[:size]
return {"items": items}
def cold_changes(es, index, repository_fullname, params):
params = deepcopy(params)
size = params.get('size')
params['etype'] = ('Change',)
params['state'] = 'OPEN'
changes = _scan(es, index, repository_fullname, params)
_changes_ids = set([change['change_id'] for change in changes])
params['etype'] = ('ChangeCommentedEvent', 'ChangeReviewedEvent')
del params['state']
events = _scan(es, index, repository_fullname, params)
_events_ids = set([event['change_id'] for event in events])
changes_ids_wo_rc = _changes_ids.difference(_events_ids)
changes_wo_rc = [
change for change in changes if change['change_id'] in changes_ids_wo_rc
]
changes_wo_rc = enhance_changes(changes_wo_rc)
items = sorted(changes_wo_rc, key=lambda x: is8601_to_dt(x['created_at']))
if size:
items = items[:size]
return {'items': items}
