# Path: golem/core/parsing/date_utils.py
# def process_datetime(values, duration=None):
# def timedelta_from_grain(grain):
# def date_now(tzinfo):
# def date_today(tzinfo):
# def date_this_week(tzinfo):
# def date_this_month(tzinfo):
# def format_date_interval(from_date, to_date, grain):
# 
# Path: golem/core/parsing/entity_extractor.py
# class EntityExtractor(ABC):
#     """
#     Abstract class for entity extractors.
#     Responsible for processing text and extracting entities such as names, dates, places etc.
#     """
# 
#     def __init__(self):
#         pass
# 
#     @abstractmethod
#     def extract_entities(self, text: str, max_retries=5):
#         """
#         Extracts entities from text (a message from user).
#         :param text:        a string.
#         :param max_retries: how many times to retry on error.
#         :return: A dict of extracted entities.
#                  For example:
#                  {
#                     "place": [
#                         {"value": "Prague"},
#                         {"value": "New York", "metadata": {}}
#                     ],
#                     "name": [{"value": "Golem"}],
#                     ...
#                  }
#         """
#         return dict()
# 
# Path: golem/core/persistence.py
# def get_redis():
#     global _connection_pool
#     global _redis
#     if not _connection_pool:
#         config = settings.GOLEM_CONFIG.get('REDIS')
#         _connection_pool = redis.ConnectionPool(
#             host=config['HOST'],
#             port=config['PORT'],
#             password=config['PASSWORD'],
#             db=0,
#             max_connections=2
#         )
#     if not _redis:
#         _redis = redis.StrictRedis(connection_pool=_connection_pool)
#     return _redis


import json
import logging
import pickle
    import requests
from wit import Wit
from golem.core.parsing import date_utils
from golem.core.parsing.entity_extractor import EntityExtractor
from golem.core.persistence import get_redis
        self.wit_token = wit_token
        if not self.wit_token:
            raise ValueError("Wit token not found!")
        self.cache_key = 'wit_cache'
        self.cache = enable_cache
        # self.clear_wit_cache()

    def extract_entities(self, text: str, max_retries=5):
        if max_retries <= 0:
            self.log.error("Maximal number of Wit retries reached")
            return {}
        cached = self._load_from_cache(text)
        if cached: return cached
        try:
            wit_client = Wit(access_token=self.wit_token, actions={})
            entities = wit_client.message(text).get('entities', {})
            entities = self._process_wit_entities(entities)
            self.save_to_cache(text, entities)
            return entities
        except Exception as e:
            self.log.exception('Wit error:', e)
            return self.extract_entities(text, max_retries - 1)

    def _process_wit_entities(self, entities: dict):

        entities = self._process_metadata(entities)

        if 'datetime' in entities:
            datetime = entities['datetime']
            duration = entities.get('duration', None)

# Path: golem/core/parsing/date_utils.py
# def process_datetime(values, duration=None):
# def timedelta_from_grain(grain):
# def date_now(tzinfo):
# def date_today(tzinfo):
# def date_this_week(tzinfo):
# def date_this_month(tzinfo):
# def format_date_interval(from_date, to_date, grain):
# 
# Path: golem/core/parsing/entity_extractor.py
# class EntityExtractor(ABC):
#     """
#     Abstract class for entity extractors.
#     Responsible for processing text and extracting entities such as names, dates, places etc.
#     """
# 
#     def __init__(self):
#         pass
# 
#     @abstractmethod
#     def extract_entities(self, text: str, max_retries=5):
#         """
#         Extracts entities from text (a message from user).
#         :param text:        a string.
#         :param max_retries: how many times to retry on error.
#         :return: A dict of extracted entities.
#                  For example:
#                  {
#                     "place": [
#                         {"value": "Prague"},
#                         {"value": "New York", "metadata": {}}
#                     ],
#                     "name": [{"value": "Golem"}],
#                     ...
#                  }
#         """
#         return dict()
# 
# Path: golem/core/persistence.py
# def get_redis():
#     global _connection_pool
#     global _redis
#     if not _connection_pool:
#         config = settings.GOLEM_CONFIG.get('REDIS')
#         _connection_pool = redis.ConnectionPool(
#             host=config['HOST'],
#             port=config['PORT'],
#             password=config['PASSWORD'],
#             db=0,
#             max_connections=2
#         )
#     if not _redis:
#         _redis = redis.StrictRedis(connection_pool=_connection_pool)
#     return _redis


# Path: golem/core/parsing/wit_extractor.py
import json
import logging
import pickle
    import requests
from wit import Wit
from golem.core.parsing import date_utils
from golem.core.parsing.entity_extractor import EntityExtractor
from golem.core.persistence import get_redis

        self.wit_token = wit_token
        if not self.wit_token:
            raise ValueError("Wit token not found!")
        self.cache_key = 'wit_cache'
        self.cache = enable_cache
        # self.clear_wit_cache()

    def extract_entities(self, text: str, max_retries=5):
        if max_retries <= 0:
            self.log.error("Maximal number of Wit retries reached")
            return {}
        cached = self._load_from_cache(text)
        if cached: return cached
        try:
            wit_client = Wit(access_token=self.wit_token, actions={})
            entities = wit_client.message(text).get('entities', {})
            entities = self._process_wit_entities(entities)
            self.save_to_cache(text, entities)
            return entities
        except Exception as e:
            self.log.exception('Wit error:', e)
            return self.extract_entities(text, max_retries - 1)

    def _process_wit_entities(self, entities: dict):

        entities = self._process_metadata(entities)

        if 'datetime' in entities:
            datetime = entities['datetime']
            duration = entities.get('duration', None)

            append = date_utils.process_datetime(datetime, duration)