# Path: ep_celery.py

# 
# Path: jarr/bootstrap.py
# def is_secure_served():
# def init_logging(log_path=None, log_level=logging.INFO, modules=(),
#                  log_format='%(asctime)s %(levelname)s %(message)s'):
# def init_db(echo=False):
# def init_models():
# def commit_pending_sql(*args, **kwargs):
# def rollback_pending_sql(*args, **kwargs):
# REDIS_CONN = Redis(host=conf.db.redis.host,
#                    db=conf.db.redis.db,
#                    port=conf.db.redis.port)
# 
# Path: jarr/crawler/utils.py
# class Queues(Enum):
#     DEFAULT = conf.celery.task_default_queue
#     CRAWLING = 'jarr-crawling'
#     CLUSTERING = 'jarr-clustering'
# 
# def lock(prefix, expire=LOCK_EXPIRE):
#     def metawrapper(func):
#         @wraps(func)
#         def wrapper(args):
#             start = datetime.now()
#             key = str(args).encode('utf8')
#             key = f"lock-{prefix}-{sha256(key).hexdigest()}"
#             if REDIS_CONN.setnx(key, 'locked'):
#                 REDIS_CONN.expire(key, expire)
#                 try:
#                     return func(args)
#                 except Exception as error:
#                     observe_worker_result_since(start, prefix,
#                                                 error.__class__.__name__)
#                     logger.debug('something wrong happen %r', error)
#                     raise
#                 finally:
#                     observe_worker_result_since(start, prefix, 'ok')
#                     REDIS_CONN.delete(key)
#             else:
#                 observe_worker_result_since(start, prefix, 'skipped')
#         return wrapper
#     return metawrapper
# 
# def observe_worker_result_since(start, method, result):
#     duration = (datetime.now() - start).total_seconds()
#     WORKER.labels(method=method, result=result).observe(duration)
# 
# Path: jarr/lib/enums.py
# class FeedStatus(Enum):
#     active = 'active'
#     paused = 'paused'
#     to_delete = 'to_delete'
#     deleting = 'deleting'
# 
# Path: jarr/lib/utils.py
# def utc_now():
#     return datetime.utcnow().replace(tzinfo=timezone.utc)
# 
# Path: jarr/metrics.py
# ARTICLES = prom(Gauge, 'articles', 'Article counts', ['status'])
# 
# USER = prom(Gauge, 'users', 'User counts', ['status'])
# 
# WORKER_BATCH = prom(Histogram, 'worker_batch', 'worker batch size',
#                     ['worker_type'], buckets=BUCKETS_3H[:-7])


import logging
import urllib3
from datetime import datetime, timedelta
from ep_celery import celery_app
from jarr.bootstrap import REDIS_CONN, conf
from jarr.controllers import (ArticleController, ClusterController,
                              FeedController, UserController)
from jarr.crawler.utils import Queues, lock, observe_worker_result_since
from jarr.lib.enums import FeedStatus
from jarr.lib.utils import utc_now
from jarr.metrics import ARTICLES, USER, WORKER_BATCH
    start = datetime.now()
    fctrl = FeedController()
    # browsing feeds to fetch
    queue = Queues.CRAWLING if conf.crawler.use_queues else Queues.DEFAULT
    feeds = list(fctrl.list_fetchable(conf.crawler.batch_size))
    WORKER_BATCH.labels(worker_type='fetch-feed').observe(len(feeds))
    logger.info('%d to enqueue', len(feeds))
    for feed in feeds:
        logger.debug("%r: scheduling to be fetched on queue:%r",
                     feed, queue.value)
        process_feed.apply_async(args=[feed.id], queue=queue.value)
    # browsing feeds to delete
    feeds_to_delete = list(fctrl.read(status=FeedStatus.to_delete))
    if feeds_to_delete and REDIS_CONN.setnx(JARR_FEED_DEL_KEY, 'true'):
        REDIS_CONN.expire(JARR_FEED_DEL_KEY, LOCK_EXPIRE)
        logger.info('%d to delete, deleting one', len(feeds_to_delete))
        for feed in feeds_to_delete:
            logger.debug("%r: scheduling to be delete", feed)
            feed_cleaner.apply_async(args=[feed.id])
    # applying clusterizer
    queue = Queues.CLUSTERING if conf.crawler.use_queues else Queues.DEFAULT
    for user_id in ArticleController.get_user_id_with_pending_articles():
        if REDIS_CONN.setnx(JARR_CLUSTERIZER_KEY % user_id, 'true'):
            REDIS_CONN.expire(JARR_CLUSTERIZER_KEY % user_id,
                              conf.crawler.clusterizer_delay)
            logger.debug('Scheduling clusterizer for User(%d) on queue:%r',
                         user_id, queue.value)
            clusterizer.apply_async(args=[user_id], queue=queue.value)
    scheduler.apply_async(countdown=conf.crawler.idle_delay)
    metrics_users_any.apply_async()

# Path: ep_celery.py

# 
# Path: jarr/bootstrap.py
# def is_secure_served():
# def init_logging(log_path=None, log_level=logging.INFO, modules=(),
#                  log_format='%(asctime)s %(levelname)s %(message)s'):
# def init_db(echo=False):
# def init_models():
# def commit_pending_sql(*args, **kwargs):
# def rollback_pending_sql(*args, **kwargs):
# REDIS_CONN = Redis(host=conf.db.redis.host,
#                    db=conf.db.redis.db,
#                    port=conf.db.redis.port)
# 
# Path: jarr/crawler/utils.py
# class Queues(Enum):
#     DEFAULT = conf.celery.task_default_queue
#     CRAWLING = 'jarr-crawling'
#     CLUSTERING = 'jarr-clustering'
# 
# def lock(prefix, expire=LOCK_EXPIRE):
#     def metawrapper(func):
#         @wraps(func)
#         def wrapper(args):
#             start = datetime.now()
#             key = str(args).encode('utf8')
#             key = f"lock-{prefix}-{sha256(key).hexdigest()}"
#             if REDIS_CONN.setnx(key, 'locked'):
#                 REDIS_CONN.expire(key, expire)
#                 try:
#                     return func(args)
#                 except Exception as error:
#                     observe_worker_result_since(start, prefix,
#                                                 error.__class__.__name__)
#                     logger.debug('something wrong happen %r', error)
#                     raise
#                 finally:
#                     observe_worker_result_since(start, prefix, 'ok')
#                     REDIS_CONN.delete(key)
#             else:
#                 observe_worker_result_since(start, prefix, 'skipped')
#         return wrapper
#     return metawrapper
# 
# def observe_worker_result_since(start, method, result):
#     duration = (datetime.now() - start).total_seconds()
#     WORKER.labels(method=method, result=result).observe(duration)
# 
# Path: jarr/lib/enums.py
# class FeedStatus(Enum):
#     active = 'active'
#     paused = 'paused'
#     to_delete = 'to_delete'
#     deleting = 'deleting'
# 
# Path: jarr/lib/utils.py
# def utc_now():
#     return datetime.utcnow().replace(tzinfo=timezone.utc)
# 
# Path: jarr/metrics.py
# ARTICLES = prom(Gauge, 'articles', 'Article counts', ['status'])
# 
# USER = prom(Gauge, 'users', 'User counts', ['status'])
# 
# WORKER_BATCH = prom(Histogram, 'worker_batch', 'worker batch size',
#                     ['worker_type'], buckets=BUCKETS_3H[:-7])


# Path: jarr/crawler/main.py
import logging
import urllib3
from datetime import datetime, timedelta
from ep_celery import celery_app
from jarr.bootstrap import REDIS_CONN, conf
from jarr.controllers import (ArticleController, ClusterController,
                              FeedController, UserController)
from jarr.crawler.utils import Queues, lock, observe_worker_result_since
from jarr.lib.enums import FeedStatus
from jarr.lib.utils import utc_now
from jarr.metrics import ARTICLES, USER, WORKER_BATCH

    start = datetime.now()
    fctrl = FeedController()
    # browsing feeds to fetch
    queue = Queues.CRAWLING if conf.crawler.use_queues else Queues.DEFAULT
    feeds = list(fctrl.list_fetchable(conf.crawler.batch_size))
    WORKER_BATCH.labels(worker_type='fetch-feed').observe(len(feeds))
    logger.info('%d to enqueue', len(feeds))
    for feed in feeds:
        logger.debug("%r: scheduling to be fetched on queue:%r",
                     feed, queue.value)
        process_feed.apply_async(args=[feed.id], queue=queue.value)
    # browsing feeds to delete
    feeds_to_delete = list(fctrl.read(status=FeedStatus.to_delete))
    if feeds_to_delete and REDIS_CONN.setnx(JARR_FEED_DEL_KEY, 'true'):
        REDIS_CONN.expire(JARR_FEED_DEL_KEY, LOCK_EXPIRE)
        logger.info('%d to delete, deleting one', len(feeds_to_delete))
        for feed in feeds_to_delete:
            logger.debug("%r: scheduling to be delete", feed)
            feed_cleaner.apply_async(args=[feed.id])
    # applying clusterizer
    queue = Queues.CLUSTERING if conf.crawler.use_queues else Queues.DEFAULT
    for user_id in ArticleController.get_user_id_with_pending_articles():
        if REDIS_CONN.setnx(JARR_CLUSTERIZER_KEY % user_id, 'true'):
            REDIS_CONN.expire(JARR_CLUSTERIZER_KEY % user_id,
                              conf.crawler.clusterizer_delay)
            logger.debug('Scheduling clusterizer for User(%d) on queue:%r',
                         user_id, queue.value)
            clusterizer.apply_async(args=[user_id], queue=queue.value)
    scheduler.apply_async(countdown=conf.crawler.idle_delay)
    metrics_users_any.apply_async()

    metrics_users_active.apply_async()