def _execute_search(request, query, page_size):
search = Search(request, separate_replies=True)
for agg in aggregations_for(query):
search.append_aggregation(agg)
query = query.copy()
page = request.params.get('page', 1)
try:
page = int(page)
except ValueError:
page = 1
# Don't allow negative page numbers.
if page < 1:
page = 1
query['limit'] = page_size
query['offset'] = (page - 1) * page_size
search_result = search.run(query)
return search_result
def _execute_search(request, query, page_size):
search = Search(request, separate_replies=True, stats=request.stats)
for agg in aggregations_for(query):
search.append_aggregation(agg)
query = query.copy()
page = request.params.get('page', 1)
try:
page = int(page)
except ValueError:
page = 1
# Don't allow negative page numbers.
if page < 1:
page = 1
query['limit'] = page_size
query['offset'] = (page - 1) * page_size
search_result = search.run(query)
return search_result
def execute(request, query, page_size):
search = Search(request)
search.append_filter(TopLevelAnnotationsFilter())
for agg in aggregations_for(query):
search.append_aggregation(agg)
query = query.copy()
page = request.params.get('page', '')
if not page:
page = '1'
query['limit'] = page_size
query['offset'] = (int(page) - 1) * page_size
search_result = search.run(query)
result = ActivityResults(total=search_result.total,
aggregations=search_result.aggregations,
timeframes=[])
if result.total == 0:
return result
# Load all referenced annotations from the database, bucket them, and add
# the buckets to result.timeframes.
anns = _fetch_annotations(request.db, search_result.annotation_ids)
result.timeframes.extend(bucketing.bucket(anns))
# Fetch all groups
group_pubids = set([a.groupid
for t in result.timeframes
for b in t.document_buckets.values()
for a in b.annotations])
groups = {g.pubid: g for g in _fetch_groups(request.db, group_pubids)}
# Add group information to buckets and present annotations
for timeframe in result.timeframes:
for bucket in timeframe.document_buckets.values():
for index, annotation in enumerate(bucket.annotations):
bucket.annotations[index] = {
'annotation': presenters.AnnotationHTMLPresenter(annotation),
'group': groups.get(annotation.groupid)
}
return result
def execute(request, query):
search = Search(request)
search.append_filter(TopLevelAnnotationsFilter())
for agg in aggregations_for(query):
search.append_aggregation(agg)
search_result = search.run(query)
result = ActivityResults(total=search_result.total,
aggregations=search_result.aggregations,
timeframes=[])
if result.total == 0:
return result
# Load all referenced annotations from the database, bucket them, and add
# the buckets to result.timeframes.
anns = _fetch_annotations(request.db, search_result.annotation_ids)
result.timeframes.extend(bucketing.bucket(anns))
# Fetch all groups
group_pubids = set([a.groupid
for t in result.timeframes
for b in t.document_buckets.values()
for a in b.annotations])
groups = {g.pubid: g for g in _fetch_groups(request.db, group_pubids)}
# Add group information to buckets and present annotations
for timeframe in result.timeframes:
for bucket in timeframe.document_buckets.values():
for index, annotation in enumerate(bucket.annotations):
bucket.annotations[index] = {
'annotation': presenters.AnnotationHTMLPresenter(annotation),
'group': groups.get(annotation.groupid)
}
return result