def format_province_hospital(success):
'''格式化省市下面的所述医院以及所述部门'''
province, province_count = get_province()
hospital, hospital_count = get_hospital()
department, department_count = get_department()
position, position_count = get_position()
success['total'] = []
if is_list(province) and is_list(hospital) and is_list(department) and is_list(position):
total_list = []
for p in province:
p_pic = flatten(p)
p_pic['sub_hospital'] = []
for h in hospital:
if h.belong_province == p.id:
hospital_pic = flatten(h)
p_pic['sub_hospital'].append(hospital_pic)
hospital_pic['sub_department'] = []
for d in department:
if d.belong_hospital == h.id:
department_pic = flatten(d)
hospital_pic['sub_department'].append(department_pic)
department_pic['sub_position'] = []
for po in position:
if po.belong_department == d.id:
position_pic = flatten(po)
department_pic['sub_position'].append(position_pic)
success['total'].append(p_pic)
def div_data(success):
"""
层级显示
"""
court_list, court_count = get_court()
brand_list, brand_count = get_brand()
kind_list, kind_count = get_kind()
total_list = []
brand_pic = ''
court_pic = ''
for court in court_list:
court_pic = flatten(court)
total_list.append(court_pic)
court_pic['sub_brand'] = []
for brand in brand_list:
if brand.court_id == court.id:
brand_pic = flatten(brand)
court_pic['sub_brand'].append(brand_pic)
brand_pic['sub_kind'] = []
for kind in kind_list:
if brand.id == kind.brand_id:
kind_pic = flatten(kind)
brand_pic['sub_kind'].append(kind_pic)
success['total'].append(court_pic)
def get_collect_abstract(doctor_id, page, success):
"""
获取医生收藏文摘
"""
success['academic'] = []
abstract = AcademicAbstract.query.filter().all()
collect_count = Collect.query.filter(Collect.doctor_id == doctor_id).count()
temp_page = page
page, per_page = page_utils(collect_count, page, per_page=3)
if collect_count > 1:
collect_result = Collect.query.filter(Collect.doctor_id == doctor_id, Collect.type == 'abstract')[per_page * (temp_page - 1): per_page * page]
if collect_result:
for collect in collect_result:
for a in abstract:
if a.id == collect.type_id:
a.is_collect = True
a_pic = flatten(a)
success['academic'].append(a_pic)
return True
else:
return False
else:
collect = Collect.query.filter(Collect.doctor_id == doctor_id, Collect.type == 'abstract').first()
if collect:
for a in abstract:
if a.id == collect.type_id:
a.is_collect = True
a_pic = flatten(a)
success['academic'].append(a_pic)
return True
else:
return False
def check_is_type(result, remember, return_success):
"""
判断登陆是baby还是doctor
"""
if result:
if type(result) is Baby:
baby_picture = BabyPicture.query.filter(BabyPicture.baby_id == result.id).first()
baby_pic = flatten(result)
baby_pic['is_remember'] = int(remember)
baby_pic.pop('id')
baby_pic['user_id'] = result.id
baby_pic['user_name'] = result.baby_name
if result.born_birthday:
baby_birthday = result.born_birthday
baby_pic['time'] = time_diff(baby_birthday)
if baby_picture:
if baby_picture.rel_path and baby_picture.picture_name:
baby_pic['picture_path'] = baby_picture.rel_path + '/' + baby_picture.picture_name
json_append(return_success, baby_pic)
return True
elif type(result) is Doctor:
doctor_pic = flatten(result)
doctor_pic['is_remember'] = int(remember)
doctor_pic.pop('id')
doctor_pic['user_name'] = result.real_name
doctor_pic['user_id'] = result.id
if result.rel_path and result.picture_name:
doctor_pic['picture_path'] = result.rel_path + '/' + result.picture_name
json_append(return_success, doctor_pic)
return True
else:
return False
else:
return False
def get_recent_modified():
'''获取最近更新时间'''
recent = RecentlyModified.query.filter().first()
if recent:
recent_pic = flatten(recent)
return recent_pic
return 'None'
def doctor_pickler(doctor, resp_suc):
doctor_pic = flatten(doctor)
doctor_pic.pop('belong_hospital_id')
doctor_pic.pop('belong_department')
doctor_pic.pop('province_id')
doctor_pic.pop('position')
if doctor.rel_path and doctor.picture_name:
doctor_pic['picture_path'] = doctor.rel_path + '/' + doctor.picture_name
resp_suc['doctor_list'].append(doctor_pic)
def change_to_flatten(model):
"""
"""
if model:
model_pic = flatten(model)
return model_pic
else:
return ""
def get_complication(success):
"""
获取全部合并症数据
"""
parent_list = []
child_list = []
parent_complication = Complication.query.filter(Complication.parent_id == 0).all() # 得到所有父级
child_complication = Complication.query.filter(Complication.parent_id != 0).all() # 得到所有子级
success['complication'] = []
if parent_complication and type(parent_complication) is list:
if child_complication and type(child_complication) is list:
for parent in parent_complication:
parent_pic = flatten(parent)
parent_list.append(parent_pic)
parent_pic['child'] = []
for child in child_complication:
if child.parent_id == parent.id:
child_pic = flatten(child)
parent_pic['child'].append(child_pic)
success['complication'].append(parent_list)
return True
else:
return False
def get_abstract_by_id(id, doctor_id, success):
"""
根据id获取文摘
"""
abstract = AcademicAbstract.query.filter(AcademicAbstract.id == id).first()
collect_result = Collect.query.filter(Collect.doctor_id == doctor_id, Collect.type_id == abstract.id).first()
if abstract:
if collect_result:
abstract.is_collect = True
else:
abstract.is_collect = False
abstract_pic = flatten(abstract)
success['abstract'] = abstract_pic
return True
else:
return False
def check_is_type(result, remember, return_success):
"""
判断登陆是baby还是doctor
"""
if result:
if type(result) is Baby:
baby_picture = BabyPicture.query.filter(BabyPicture.baby_id == result.id).first()
baby_pic = flatten(result)
baby_pic['is_remember'] = int(remember)
baby_pic.pop('id')
baby_pic['user_id'] = result.id
if result.born_birthday:
baby_birthday = result.born_birthday
baby_pic['time'] = time_diff(baby_birthday)
if baby_picture:
if baby_picture.rel_path and baby_picture.picture_name:
baby_pic['picture_path'] = baby_picture.rel_path + '/' + baby_picture.picture_name
json_append(return_success, baby_pic)
return True
elif type(result) is Doctor:
doctor_pic = flatten(result)
doctor_pic['is_remember'] = int(remember)
doctor_pic.pop('id')
doctor_pic['user_id'] = result.id
if result.rel_path and result.picture_name:
doctor_pic['picture_path'] = result.rel_path + '/' + result.picture_name
json_append(return_success, doctor_pic)
return True
else:
return False
else:
return False
#def entering_who():
# """
# 录入who标准数据
# """
# read_file = open('/Users/K/Documents/User Data/baby Data/lhfa_girls_p_exp.txt')
# result = {}
# count = 0
# for line in read_file:
# ''''''
# result[str(count)] = []
# result[str(count)].append(line.replace('\n','').replace('\r','').split('\t'))
# count = count + 1
# count = 1
# length = result.__len__() - 1
# result.pop('0')
# for keys in result.keys():
# #print result[str(count)][0].__len__()
# weight_boy_standard = HeadSurroundGirlStandard(age=result[str(count)][0][0], L=result[str(count)][0][1],
# M=result[str(count)][0][2], S=result[str(count)][0][3],
# P01=result[str(count)][0][4], P1=result[str(count)][0][5],
# P3=result[str(count)][0][6], P5=result[str(count)][0][7],
# P10=result[str(count)][0][8], P15=result[str(count)][0][9],
# P25=result[str(count)][0][10], P50=result[str(count)][0][11],
# P75=result[str(count)][0][12], P85=result[str(count)][0][13],
# P90=result[str(count)][0][14], P95=result[str(count)][0][15],
# P97=result[str(count)][0][16], P99=result[str(count)][0][17],
# P999=result[str(count)][0][18])
# db.add(weight_boy_standard)
# db.commit()
# count = count + 1
def collect_abstract(academic_result, success):
'''序列化json对象'''
academic_pic = flatten(academic_result)
success['academic_list'].append(academic_pic)