def _bucket_latest_entries_batch(bucket, limit=DEFAULT_BATCH_SIZE, startkey=None, startkey_docid=None):
limit = min(limit, MAX_BATCH_SIZE)
query = dict(
limit=limit + 1, # request 1 more than limit to see if there's a next batch
startkey=[bucket.id, {}], # initial batch; overridden for subsequent batches below
endkey=[bucket.id],
include_docs=True,
descending=True,
)
if startkey is not None: # subsequent batches
assert startkey_docid is not None, 'startkey given with no startkey_docid'
query.update(startkey=startkey, startkey_docid=startkey_docid)
rows = list(view_entries_by_timestamp(ctx.db, **query))
if len(rows) > limit: # there's another batch after this one
lastrow = rows.pop()
next = url_for('bucket_latest_entries',
bucket=bucket,
startkey=json_sleep(lastrow.key),
startkey_docid=lastrow.id,
)
else:
next = None
#entries = [tidy_entry(NewsItemRef.from_doc(r.doc, ctx)) for r in rows]
entryids = [r.doc['item_id'] for r in rows]
entries = [tidy_entry(i) for i in NewsItem.get_by_ids(entryids, ctx)]
return (entries, next)
def _bucket_latest_entries_batch(bucket, limit=DEFAULT_FEED_SIZE):
limit = min(limit, MAX_FEED_SIZE)
query = dict(
limit=limit,
startkey=[bucket.id, {}],
endkey=[bucket.id],
include_docs=True,
descending=True,
)
entryids = [r.doc['item_id'] for r in view_entries_by_timestamp(ctx.db, **query)]
return [tidy_entry(i) for i in NewsItem.get_by_ids(entryids, ctx)]
