tsih/__init__.py

@@ -10,7 +10,7 @@ import tempfile
 
 logger = logging.getLogger(__name__)
 
-__version__ = '0.1.6'
+__version__ = '0.1.4'
 
 from collections import UserDict, namedtuple
 
@@ -240,7 +240,7 @@ class History:
         The cache will be flushed at the end of the simulation, and when history is accessed.
         '''
         if self.readonly:
-            return
+            raise Exception('DB in readonly mode')
         logger.debug('Flushing cache {}'.format(self.db_path))
         with self.db:
             self.db.executemany("replace into history(dict_id, t_step, key, value) values (?, ?, ?, ?)", self._tups)
@@ -442,43 +442,3 @@ Key = namedtuple('Key', ['dict_id', 't_step', 'key'])
 Record = namedtuple('Record', 'dict_id t_step key value')
 
 Stat = namedtuple('Stat', 'stat_id text')
-
-class NoHistory:
-    '''Empty implementation for history meant for testing.'''
-
-    def __init__(self, *args, **kwargs):
-        pass
-
-    def close(self):
-        pass
-
-    def save_stats(self, stat):
-        pass
-    
-    def get_stats(self, unflatten=True):
-        return []
-
-    def save_tuples(self, tuples):
-        return
-
-    def save_records(self, records):
-        return
-
-    def save_record(self, dict_id, t_step, key, value):
-        return
-
-    def flush_cache(self):
-        return
-
-    def to_tuples(self):
-        return []
-
-    def __getitem__(self, key):
-        return None
-
-    def read_sql(self, keys=None, dict_ids=None, not_dict_ids=None, t_steps=None, convert_types=False, limit=-1):
-        return pandas.Dataframe()
-
-    def dump(self, f):
-        return
-