- class praw.models.util.BoundedSet(max_items: int)
A set with a maximum size that evicts the oldest items when necessary.
This class does not implement the complete set interface.
- class praw.models.util.ExponentialCounter(max_counter: int)
A class to provide an exponential counter with jitter.
- __init__(max_counter: int)
The maximum base value.
The computed value may be 3.125% higher due to jitter.
Reset the counter to 1.
- praw.models.util.permissions_string(permissions: Optional[List[str]], known_permissions: Set[str]) str
Return a comma separated string of permission changes.
permissions – A list of strings, or
None. These strings can exclusively contain
-prefixes, or contain no prefixes at all. When prefixed, the resulting string will simply be the joining of these inputs. When not prefixed, all permissions are considered to be additions, and all permissions in the
known_permissionsset that aren’t provided are considered to be removals. When
None, the result is
known_permissions – A set of strings representing the available permissions.
- praw.models.util.stream_generator(function: Callable[[Any], Any], pause_after: Optional[int] = None, skip_existing: bool = False, attribute_name: str = 'fullname', exclude_before: bool = False, **function_kwargs: Any) Generator[Any, None, None]
Yield new items from ListingGenerators and
pause_after – An integer representing the number of requests that result in no new items before this function yields
None, effectively introducing a pause into the stream. A negative value yields
Noneafter items from a single response have been yielded, regardless of number of new items obtained in that response. A value of
Noneafter every response resulting in no new items, and a value of
Nonenever introduces a pause (default:
skip_existing – When
Truedoes not yield any results from the first request thereby skipping any items that existed in the stream prior to starting the stream (default:
attribute_name – The field to use as an ID (default:
exclude_before – When
Truedoes not pass
Additional keyword arguments will be passed to
This function internally uses an exponential delay with jitter between subsequent responses that contain no new results, up to a maximum delay of just over 16 seconds. In practice, that means that the time before pause for
pause_after=N+1is approximately twice the time before pause for
For example, to create a stream of comment replies, try:
reply_function = reddit.inbox.comment_replies for reply in praw.models.util.stream_generator(reply_function): print(reply)
To pause a comment stream after six responses with no new comments, try:
subreddit = reddit.subreddit("test") for comment in subreddit.stream.comments(pause_after=6): if comment is None: break print(comment)
To resume fetching comments after a pause, try:
subreddit = reddit.subreddit("test") comment_stream = subreddit.stream.comments(pause_after=5) for comment in comment_stream: if comment is None: break print(comment) # Do any other processing, then try to fetch more data for comment in comment_stream: if comment is None: break print(comment)
To bypass the internal exponential backoff, try the following. This approach is useful if you are monitoring a subreddit with infrequent activity, and you want to consistently learn about new items from the stream as soon as possible, rather than up to a delay of just over sixteen seconds.
subreddit = reddit.subreddit("test") for comment in subreddit.stream.comments(pause_after=0): if comment is None: continue print(comment)