def fit_profile_show():
unit_values = []
unit_dict = dict()
for message_type in MESSAGE_TYPES.values():
for field in message_type.fields.values():
unit_values.append(field.units)
unit_dict[str(field.name)] = field.units
if field.components:
for component in field.components:
unit_values.append(component.units)
unit_dict[component.name] = component.units
if field.subfields:
for subfield in field.subfields:
unit_values.append(subfield.units)
unit_dict[subfield.name] = subfield.units
if subfield.components:
for component in subfield.components:
unit_values.append(component.units)
unit_dict[component.name] = component.units
# unit_values = filter(None, unit_values)
# for unit_value in sorted(set(unit_values)):
# print(format(unit_value))
# unit_dict = unit_dict.pop(filter(None, unit_dict.values()))
print(unit_dict)
def fit_message_all_show(fitfile=None):
if fitfile is None:
fit_profile_show()
return
unit_dict = dict()
for message_type in MESSAGE_TYPES.values():
msg_dict = dict()
msg_dict = list(fitfile.get_messages(name=message_type.name))
if len(msg_dict) > 0:
unit_dict[message_type.name] = msg_dict.copy()
fit_msg_type_list.append(message_type.name)
def fit_msg ( local_msg, msg_name, msg_fields, msg_data = None ):
msg_type = [m for m in MESSAGE_TYPES.values() if m.name == msg_name][0]
field_types = []
# Convert msg_fields
for i in range(len(msg_fields)):
if type(msg_fields[i]) != type(()):
msg_fields[i] = (msg_fields[i], None)
# Definition Message
s = struct.pack('<B', 0x40 | local_msg)
s += struct.pack('<xB', 0)
s += struct.pack('<HB', msg_type.mesg_num, len(msg_fields))
for n, sf in msg_fields:
fn = [f for f in msg_type.fields if msg_type.fields[f].name == n][0]
ft = msg_type.fields[fn]
bt = ft.type
if hasattr(bt, 'base_type'):
bt = bt.base_type
if hasattr(ft, 'subfields') and ft.subfields:
sf = [f for f in ft.subfields if f.name == sf][0]
s += struct.pack('<3B', fn, bt.size, bt.identifier)
if sf: ft = sf
field_types.append(ft)
# Data
if msg_data:
for d in msg_data:
s += struct.pack('<B', 0x00 | local_msg)
for fv, ft in zip(d, field_types):
bt = ft.type
if hasattr(bt, 'values') and bt.values:
for v in bt.values:
if bt.values[v] == fv:
fv = v
break
if hasattr(ft, 'offset') and ft.offset:
fv += ft.offset
if hasattr(ft, 'scale') and ft.scale:
fv *= ft.scale
if hasattr(bt, 'base_type'):
bt = bt.base_type
s += struct.pack('<'+bt.fmt, fv)
return s
def fit_msg(local_msg, msg_name, msg_fields, msg_data=None):
msg_type = [m for m in MESSAGE_TYPES.values() if m.name == msg_name][0]
field_types = []
# Convert msg_fields
for i in range(len(msg_fields)):
if type(msg_fields[i]) != type(()):
msg_fields[i] = (msg_fields[i], None)
# Definition Message
s = struct.pack('<B', 0x40 | local_msg)
s += struct.pack('<xB', 0)
s += struct.pack('<HB', msg_type.mesg_num, len(msg_fields))
for n, sf in msg_fields:
fn = [f for f in msg_type.fields if msg_type.fields[f].name == n][0]
ft = msg_type.fields[fn]
bt = ft.type
if hasattr(bt, 'base_type'):
bt = bt.base_type
if hasattr(ft, 'subfields') and ft.subfields:
sf = [f for f in ft.subfields if f.name == sf][0]
s += struct.pack('<3B', fn, bt.size, bt.identifier)
if sf: ft = sf
field_types.append(ft)
# Data
if msg_data:
for d in msg_data:
s += struct.pack('<B', 0x00 | local_msg)
for fv, ft in zip(d, field_types):
bt = ft.type
if hasattr(bt, 'values') and bt.values:
for v in bt.values:
if bt.values[v] == fv:
fv = v
break
if hasattr(ft, 'offset') and ft.offset:
fv += ft.offset
if hasattr(ft, 'scale') and ft.scale:
fv *= ft.scale
if hasattr(bt, 'base_type'):
bt = bt.base_type
s += struct.pack('<' + bt.fmt, fv)
return s
def do_fitparse_profile():
unit_values = []
for message_type in MESSAGE_TYPES.values():
for field in message_type.fields.values():
unit_values.append(field.units)
if field.components:
for component in field.components:
unit_values.append(component.units)
if field.subfields:
for subfield in field.subfields:
unit_values.append(subfield.units)
if subfield.components:
for component in subfield.components:
unit_values.append(component.units)
unit_values = filter(None, unit_values)
print 'In fitparse/profile.py:'
for unit_value in sorted(set(unit_values)):
print ' * %s [%s]' % (
unit_value,
scrub_method_name('process_units_%s' % unit_value, convert_units=True),
)
def do_fitparse_profile():
unit_values = []
for message_type in MESSAGE_TYPES.values():
for field in message_type.fields.values():
unit_values.append(field.units)
if field.components:
for component in field.components:
unit_values.append(component.units)
if field.subfields:
for subfield in field.subfields:
unit_values.append(subfield.units)
if subfield.components:
for component in subfield.components:
unit_values.append(component.units)
unit_values = filter(None, unit_values)
print('In fitparse/profile.py:')
for unit_value in sorted(set(unit_values)):
print(' * {} [{}]'.format(
unit_value,
scrub_method_name('process_units_%s' % unit_value, convert_units=True)
))
