def initData(): """Load data and mappings from Raw data files and mapping files""" Patient.load() Med.load() Problem.load() Lab.load() Refill.load()
def initData(): """Load data and mappings from Raw data files and mapping files""" Patient.load() Med.load() Problem.load() Lab.load() Refill.load()
def write_file(detector, file):
"""
Writes Mca or Med objects to a disk file.
Parameters:
-----------
* detector: An med or mca object
* file: The name of the disk file to write.
Example:
--------
>>write_file(mca,'mca.001')
"""
# Make sure detector is type MED for simplicity...
try:
if detector.det_type != "MED":
if has_attr(detector,'environment'):
env = detector.environment
del detector.environment
#delattr(detector,'environment')
else:
env = None
detector = Med(mca=[detector])
if env: detector.environment = env
except:
return
write_ascii_file(detector, file)
def initData(): """Load data and mappings from Raw data files and mapping files""" Patient.load() Med.load() Problem.load() Lab.load() Refill.load() VitalSigns.load() Immunization.load() Procedure.load() SocialHistory.load() FamilyHistory.load() Allergy.load()
def initData():
"""Load data and mappings from Raw data files and mapping files"""
Patient.load()
Med.load()
Problem.load()
Lab.load()
Refill.load()
VitalSigns.load()
Immunization.load()
Procedure.load()
SocialHistory.load()
FamilyHistory.load()
ClinicalNote.load()
Allergy.load()
def read_med(file,bad_mca_idx=[],total=True,align=True,correct=True,tau=None):
"""
Reads a disk file into an Med object. The file contains the information
from the Med object which makes sense to store permanently, but does
not contain all of the internal state information for the Med.
Parameters:
-----------
* file: The name of the disk file to read.
Notes:
------
* If the file includes "Environment data" these wil lbe included
in the returned object as med.environment
* If the file includes ROI's the will be included with the mca's
in the returned object as med.mca[i].rois
"""
# read the file
r = read_ascii_file(file)
if r == None: return None
# some info
n_detectors = r['n_detectors']
path, fname = os.path.split(file)
# check for boge detectors
check_det = True
if check_det == True:
for j in range(n_detectors):
if r['mca'][j].total_counts < 1.:
if j not in bad_mca_idx:
bad_mca_idx.append(j)
bad_mca_idx.sort()
# build the med object
med = Med(name=fname, mca=r['mca'], bad_mca_idx=bad_mca_idx,
total=total, align=align, correct=correct, tau=tau)
# below are set only if defined in file
if r['max_rois'] > 0:
rois = r['rois']
for d in range(n_detectors):
med.mca[d].rois = rois[d]
if len(r['environment']) > 0:
med.environment = r['environment']
return med
def initData():
"""Load data and mappings from Raw data files and mapping files"""
Patient.load()
VitalSigns.load()
Lab.load()
Procedure.load()
Immunization.load()
FamilyHistory.load()
SocialHistory.load()
Condition.load()
Med.load()
Refill.load()
Document.load()
Allergy.load()
ClinicalNote.load()
Practitioner.load()
Coverage.load()
ExplanationOfBenefit.load()
def get_med_name(message):
med = Med(message.text)
chat_id = message.chat.id
med_dict[chat_id] = med
text = """Итак, %s, верно? Теперь введите количество препарата\
в одной упаковке (шт, мл)""" % med.name
bot.send_message(message.from_user.id, text)
bot.register_next_step_handler(message, get_value_in_full)