Пример #1
0
def learn(subreddit=None):
    log.info('trying to learn')
    try:
        if subreddit:
            log.info("learning from: " + subreddit)
            sub = reddit.api.subreddit(subreddit)
        else:  # no subreddit supplied, so we learn from a random one
            subok = False
            while subok == False:
                sub = reddit.api.subreddit('random')
                if sub.over18 == False:  # we don't want nsfw sub
                    if sub.subscribers > 100000:  # easier to get away with stuff on big subs
                        log.info("found: " + str(sub.display_name))
                        subok = True

        sub_db = "{}/{}.db".format(DB_DIR, str(sub.display_name))
        log.info("active db : {}".format(sub_db))
        sub_brain = Brain(sub_db)

        sub_hot = sub.hot()

        log.info("looping through submissions")

        # Loop through each submission
        for submission in sub_hot:
            log.info('checking submission')
            # Replace the "MoreReplies" with all of the submission replies
            submission.comments.replace_more(limit=0)

            # Get a list of all the comments flattened
            comments = submission.comments.list()

            log.debug("looping through comments")
            # Loop through each comment from the submission
            for comment in comments:
                if len(comment.body
                       ) < 240:  # long text tends to turn into noise.
                    log.debug("comment score: {}".format(comment.score))
                    if comment.score > 20:  # We only want to learn things people like to hear.
                        if comment.author != submission.author:  # We only want to learn comments as an ovserver
                            log.info(
                                "learning comment. score: {}; comment: {}".
                                format(comment.score,
                                       comment.body.encode('utf8')))
                            base_brain.learn(comment.body.encode(
                                'utf8'))  # Tell the bot to learn this comment
                            sub_brain.learn(comment.body.encode(
                                'utf8'))  # Tell the bot to learn this comment
        log.info('done learning')
    except Exception as e:
        # If any errors occur just print it to the console
        log.info(e, exc_info=True)
Пример #2
0
def learn(subreddit=None):
    log.info("trying to learn")

    if os.path.isfile(MAIN_DB):
        size = os.path.getsize(MAIN_DB)
        log.info("db size: " + str(bytesto(size, "m")))
    else:
        size = 0

    if size > MAIN_DB_MAX_SIZE:  # learn faster early on
        log.info("DB size has reached limit: {}".format(
            bytesto(MAIN_DB_MAX_SIZE, "m")))
        return

    try:
        if subreddit:  # learning from a supplied
            if isinstance(subreddit, str):
                log.info("learning from: " + subreddit)
                sub = reddit.api.subreddit(subreddit)
            else:
                log.info(
                    'I have no idea what subreddit you gave me. not going to learn.'
                )
                return
        elif SUBREDDIT_LIST:  # learn from one of the filtered subreddits
            sub_name = random.choice(SUBREDDIT_LIST)
            log.info("SUBREDDIT_LIST is active")
            log.info("learning from: {}".format(sub_name))
            sub = reddit.api.subreddit(sub_name)
        else:  # no subreddit supplied, so we learn from a random one
            subok = False
            while subok == False:
                sub = reddit.api.subreddit("random")
                if sub.over18 == False:  # we don't want nsfw sub
                    if (sub.subscribers > 100000
                        ):  # easier to get away with stuff on big subs
                        log.info("checking if subreddit is blacklisted")
                        with open('src/banned_subreddits.txt'
                                  ) as blacklisted_subreddits:
                            list_of_blacklisted_subreddits = blacklisted_subreddits.read(
                            ).splitlines()
                            if (str(sub)
                                ) not in list_of_blacklisted_subreddits:
                                log.info("not blacklisted")
                                log.info("found: " + str(sub.display_name))
                                subok = True
                            else:
                                log.info("r/" + str(sub) + " is blacklisted")

        sub_db = "{}/{}.db".format(DB_DIR, str(sub.display_name))
        log.info("active db : {}".format(sub_db))
        sub_brain = Brain(sub_db)

        sub_hot = sub.hot()

        log.info("looping through submissions")

        # Loop through each submission
        for submission in sub_hot:
            log.info("checking submission")
            # Replace the "MoreReplies" with all of the submission replies
            submission.comments.replace_more(limit=0)

            # Get a list of all the comments flattened
            comments = submission.comments.list()

            log.debug("looping through comments")
            # Loop through each comment from the submission
            for comment in comments:
                if len(comment.body
                       ) < 240:  # long text tends to turn into noise.
                    log.debug("comment score: {}".format(comment.score))
                    if (comment.score > 20
                        ):  # We only want to learn things people like to hear.
                        if (comment.author != submission.author
                            ):  # We only want to learn comments as an ovserver
                            comment_body = comment.body
                            for dis_word in DISALLOWED_WORDS:
                                if dis_word in comment_body:
                                    comment_body.replace(dis_word, "")
                            if LOG_LEARNED_COMMENTS:
                                log.info(
                                    "learning comment. score: {}; comment: {}".
                                    format(comment.score,
                                           comment_body.encode("utf8")))
                            base_brain.learn(comment_body.encode(
                                "utf8"))  # Tell the bot to learn this comment
                            sub_brain.learn(comment_body.encode(
                                "utf8"))  # Tell the bot to learn this comment
                            # else:
                            #     log.info("Did not learn form this comment as it contained a word from the dissallowed word list.")
        log.info("done learning")
    except Exception as e:
        # If any errors occur just print it to the console
        log.info(e, exc_info=True)
Пример #3
0
def learn(subreddit=None):
    log.info("trying to learn")

    if os.path.isfile(MAIN_DB):
        size = os.path.getsize(MAIN_DB)
        log.info("db size: " + str(bytesto(size, "m")))
    else:
        size = 0

    if size > MAIN_DB_MAX_SIZE:  # learn faster early on
        log.info("DB size has reached limit: {}".format(
            bytesto(MAIN_DB_MAX_SIZE, "m")))
        return

    try:
        if subreddit:
            log.info("learning from: " + subreddit)
            sub = reddit.api.subreddit(subreddit)
        else:  # no subreddit supplied, so we learn from a random one
            subok = False
            while subok == False:
                sub = reddit.api.subreddit("random")
                if sub.over18 == False:  # we don't want nsfw sub
                    if (sub.subscribers > 100000
                        ):  # easier to get away with stuff on big subs
                        log.info("found: " + str(sub.display_name))
                        subok = True

        sub_db = "{}/{}.db".format(DB_DIR, str(sub.display_name))
        log.info("active db : {}".format(sub_db))
        sub_brain = Brain(sub_db)

        sub_hot = sub.hot()

        log.info("looping through submissions")

        # Loop through each submission
        for submission in sub_hot:
            log.info("checking submission")
            # Replace the "MoreReplies" with all of the submission replies
            submission.comments.replace_more(limit=0)

            # Get a list of all the comments flattened
            comments = submission.comments.list()

            log.debug("looping through comments")
            # Loop through each comment from the submission
            for comment in comments:
                if len(comment.body
                       ) < 240:  # long text tends to turn into noise.
                    log.debug("comment score: {}".format(comment.score))
                    if (comment.score > 20
                        ):  # We only want to learn things people like to hear.
                        if (comment.author != submission.author
                            ):  # We only want to learn comments as an ovserver
                            log.info(
                                "learning comment. score: {}; comment: {}".
                                format(comment.score,
                                       comment.body.encode("utf8")))
                            base_brain.learn(comment.body.encode(
                                "utf8"))  # Tell the bot to learn this comment
                            sub_brain.learn(comment.body.encode(
                                "utf8"))  # Tell the bot to learn this comment
        log.info("done learning")
    except Exception as e:
        # If any errors occur just print it to the console
        log.info(e, exc_info=True)