Ejemplo n.º 1
0
def get_value_from_dict_or_string(data, is_time_frame=False):
    if isinstance(data, dict):
        if is_time_frame:
            return TimeFrames(data["value"])
        else:
            return data["value"]
    else:
        if is_time_frame:
            return TimeFrames(data)
        else:
            return data
Ejemplo n.º 2
0
 def find_config_min_time_frame(config_time_frames):
     # TimeFramesRank is the ordered list of timeframes
     for tf in TimeFrameManager.TimeFramesRank:
         if tf in config_time_frames:
             try:
                 return TimeFrames(tf)
             except ValueError:
                 pass
     return TimeFrames.ONE_MINUTE
Ejemplo n.º 3
0
 def get_config_time_frame(config):
     if CONFIG_TIME_FRAME in config:
         result = []
         for time_frame in config[CONFIG_TIME_FRAME]:
             try:
                 result.append(TimeFrames(time_frame))
             except ValueError:
                 logging.warning(
                     "Time frame not found : {0}".format(time_frame))
         return result
     else:
         return TimeFrames
Ejemplo n.º 4
0
 def parse_time_frames(time_frames_string_list):
     result_list = []
     for time_frame_string in time_frames_string_list:
         try:
             result_list.append(TimeFrames(time_frame_string))
         except ValueError:
             logging.getLogger(TimeFrameManager.__name__).error(
                 "No time frame available for: '{0}'. Available time "
                 "frames are: {1}. '{0}' time frame requirement "
                 "ignored.".format(time_frame_string,
                                   [t.value for t in TimeFrames]))
     return result_list
Ejemplo n.º 5
0
 def find_min_time_frame(time_frames, min_time_frame=None):
     tf_list = time_frames
     if time_frames and isinstance(next(iter(time_frames)), TimeFrames):
         tf_list = [t.value for t in time_frames]
     min_index = 0
     if min_time_frame:
         min_index = TimeFrameManager.TimeFramesRank.index(min_time_frame)
     # TimeFramesRank is the ordered list of timeframes
     for index, tf in enumerate(TimeFrameManager.TimeFramesRank):
         tf_val = tf.value
         if index >= min_index and tf_val in tf_list:
             try:
                 return TimeFrames(tf_val)
             except ValueError:
                 pass
     return min_time_frame
Ejemplo n.º 6
0
def init_config_time_frame_for_tests(config):
    result = []
    for time_frame in config[CONFIG_TIME_FRAME]:
        result.append(TimeFrames(time_frame))
    config[CONFIG_TIME_FRAME] = result
Ejemplo n.º 7
0
 def _convert_time_frame(str_time_frame):
     return TimeFrames(str_time_frame)
Ejemplo n.º 8
0
def set_default_time_frame_for_this_symbol(time_frame_value):
    set_default_time_frame(TimeFrames(time_frame_value))