diff --git a/pytrackunit/trackunit.py b/pytrackunit/trackunit.py
index d8b0724..4562461 100644
--- a/pytrackunit/trackunit.py
+++ b/pytrackunit/trackunit.py
@@ -3,10 +3,12 @@
 import json
 import os.path
 import asyncio
-import tqdm
 from typing import Callable, Iterable
+
+import tqdm
 import aioprocessing
-from pytrackunit.tuiter import TuIter
+
+from .tuiter import TuIter
 from .tucache import TuCache
 from .sqlcache import SqlCache
 from .helper import SecureString
@@ -18,8 +20,7 @@ async def async_queue_generator(queue : aioprocessing.AioQueue):
         obj = await queue.coro_get()
         if obj is None:
             break
-        else:
-            yield obj
+        yield obj
 
 def queue_generator(queue : aioprocessing.AioQueue):
     """converts the queue into an generator"""
@@ -27,8 +28,7 @@ def queue_generator(queue : aioprocessing.AioQueue):
         obj = queue.get()
         if obj is None:
             break
-        else:
-            yield obj
+        yield obj
 
 async def async_collect_data(
         queue : aioprocessing.AioQueue,
@@ -40,17 +40,19 @@ async def async_collect_data(
     If set it will call update of the progress_bar after each iteration.
     """
 
+
     async for data_list, meta in tuit:
         proc_data = f_process(data_list,meta)
-        for x in proc_data:
-            if x is not None:
-                await queue.coro_put(x)
+        for _x in proc_data:
+            if _x is not None:
+                await queue.coro_put(_x)
         if progress_bar is not None:
             progress_bar.update()
 
+
 async def async_provider_process(
         settings : dict,
-        queue : aioprocessing.AioQueue, 
+        queue : aioprocessing.AioQueue,
         veh_id_list : Iterable[str],
         tdelta : int,
         str_function : str) -> None:
@@ -58,20 +60,23 @@ async def async_provider_process(
     puts the data it gets from trackunit and puts it in the given queue
     function can be "error" "history" "candata"
     """
-    tu = TrackUnit(**settings)
+    if settings['verbose']:
+        print("Provider process started")
+
+    _tu = TrackUnit(**settings)
 
     if str_function == "history":
-        f_function = tu.cache.get_history
+        f_function = _tu.cache.get_history
     elif str_function == "candata":
-        f_function = tu.cache.get_candata
+        f_function = _tu.cache.get_candata
     else:
-        f_function = tu.cache.get_faults
+        f_function = _tu.cache.get_faults
 
-    await tu.async_get_multi_general_queue(queue,f_function,veh_id_list,tdelta)
+    await _tu.async_get_multi_general_queue(queue,f_function,veh_id_list,tdelta)
 
 def provider_process(
         settings : dict,
-        queue : aioprocessing.AioQueue, 
+        queue : aioprocessing.AioQueue,
         veh_id_list : Iterable[str],
         tdelta : int,
         str_function : str) -> None:
@@ -117,15 +122,13 @@ async def async_get_multi_general_queue(
             queue : aioprocessing.AioQueue,
             func : Callable,
             idlist : Iterable[str],
-            tdelta : int,
-            f_process : Callable[[Iterable[dict],dict],Iterable]=None) -> None:
+            tdelta : int) -> None:
         """
         returns the data of a list of vehicles with the ids provided in idlist.
         f_process can be specified to process slices of data. f_process returns a list
         """
 
-        if f_process is None:
-            f_process = lambda x, meta: zip(x,[meta.get('id','no-id-found')])
+        f_process = lambda x, meta: zip(x,[meta.get('id','no-id-found')])
 
         iterators = []
 
@@ -137,13 +140,25 @@ async def async_get_multi_general_queue(
 
         if self.settings['use_progress_bar']:
             pbar = tqdm.tqdm(total=globlen)
+        else:
+            pbar = None
+
+        zipped_list = list(zip(
+            len(iterators)*[queue],
+            iterators,
+            len(iterators)*[f_process],
+            len(iterators)*[pbar]))
 
-        zipped_list = list(zip(len(iterators)*[queue],iterators,len(iterators)*[f_process],len(iterators)*[pbar]))
-        
         tasks = list(map(lambda x: async_collect_data(*x),zipped_list))
 
+        if self.settings['verbose']:
+            print("async_get_multi_general_queue created tasks")
+
         await asyncio.gather(*tasks)
 
+        if self.settings['verbose']:
+            print("async_get_multi_general_queue tasks finished")
+
         await queue.coro_put(None)
 
     def get_multi_general(
@@ -157,12 +172,15 @@ def get_multi_general(
         f_process can be specified to process slices of data. f_process returns a list
         """
         queue = aioprocessing.AioQueue(self.settings['queue_size'])
-        p = aioprocessing.AioProcess(target=provider_process,args=(self.settings,queue,idlist,tdelta,str_process))
-        p.start()
+        worker = aioprocessing.AioProcess(
+            target=provider_process,
+            args=(self.settings,queue,idlist,tdelta,str_process))
+        # pylint: disable=no-member
+        worker.start()
+        # pylint: enable=no-member
         if use_async_generator:
             return async_queue_generator(queue)
-        else:
-            return queue_generator(queue)
+        return queue_generator(queue)
 
     async def async_get_unitlist(self,_type=None,sort_by_hours=True):
         """unitList method"""