Add a load of logging to the room_list handler
So we can see what it gets up to.pull/2671/head
parent
7bd6c87eca
commit
1fc66c7460
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@ -154,6 +154,8 @@ class RoomListHandler(BaseHandler):
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# We want larger rooms to be first, hence negating num_joined_users
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rooms_to_order_value[room_id] = (-num_joined_users, room_id)
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logger.info("Getting ordering for %i rooms since %s",
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len(room_ids), stream_token)
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yield concurrently_execute(get_order_for_room, room_ids, 10)
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sorted_entries = sorted(rooms_to_order_value.items(), key=lambda e: e[1])
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@ -181,17 +183,25 @@ class RoomListHandler(BaseHandler):
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rooms_to_scan = rooms_to_scan[:since_token.current_limit]
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rooms_to_scan.reverse()
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logger.info("After sorting and filtering, %i rooms remain",
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len(rooms_to_scan))
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# Actually generate the entries. _append_room_entry_to_chunk will append to
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# chunk but will stop if len(chunk) > limit
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chunk = []
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if limit and not search_filter:
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step = limit + 1
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for i in xrange(0, len(rooms_to_scan), step):
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logger.info("Processing %i rooms for result", step)
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# We iterate here because the vast majority of cases we'll stop
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# at first iteration, but occaisonally _append_room_entry_to_chunk
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# won't append to the chunk and so we need to loop again.
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# We don't want to scan over the entire range either as that
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# would potentially waste a lot of work.
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#
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# XXX why would that happen? _append_room_entry_to_chunk will
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# only exclude rooms which don't match search_filter, but we
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# know search_filter is None here.
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yield concurrently_execute(
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lambda r: self._append_room_entry_to_chunk(
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r, rooms_to_num_joined[r],
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@ -199,9 +209,11 @@ class RoomListHandler(BaseHandler):
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),
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rooms_to_scan[i:i + step], 10
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)
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logger.info("Now %i rooms in result", len(chunk))
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if len(chunk) >= limit + 1:
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break
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else:
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logger.info("Processing %i rooms for result", len(rooms_to_scan))
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yield concurrently_execute(
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lambda r: self._append_room_entry_to_chunk(
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r, rooms_to_num_joined[r],
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@ -209,6 +221,7 @@ class RoomListHandler(BaseHandler):
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),
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rooms_to_scan, 5
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)
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logger.info("Now %i rooms in result", len(chunk))
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chunk.sort(key=lambda e: (-e["num_joined_members"], e["room_id"]))
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