def test_wrong_inputs(self):
'''
Test metaphone differences
'''
assert("Petra Regalada" == get_name_from_fullname("Petra Regalada Molpezérez Gómez", ['Molpecérez', 'Molpezerez'], ['Gómez', 'Gomez']))
assert("Segunda" == get_name_from_fullname("Segunda Molpécerez Gómez", ['Molpecérez', 'Molpezerez'], ['Gómez', 'Gomez']))
#Secure the updated version of metaphone takes into account b/v
assert("Francisco" == get_name_from_fullname("Francisco Vaca Gomez", ['Baca'], ['Gómez', 'Gomez'], language="es"))
def test_get_name(self):
'''
Test getting name out of complete name
'''
#Surnames
list_father = [FATHER_SURNAME]
list_mother = [MOTHER_SURNAME]
assert (get_name_from_fullname(FULL_NAME, list_father,
list_mother) == ACTUAL_NAME)
assert (get_name_from_fullname(FULL_NAME_SPANISH, list_father,
list_mother) == ACTUAL_NAME)
assert (get_name_from_fullname("Eusebio Masa Y Viloria", ['Masa'],
['Viloria'],
language="es") == "Eusebio")
#This one checks the bug of "de Bargas" issue
assert (get_name_from_fullname("Geronima De Bargas Albarez",
['Vargas'], ['Álvarez'],
language="es") == "Gerónima")
#The bug with the "de" particle
assert (get_name_from_fullname("Florentina Montemayor Leon",
['Montemayor'], ['de Leon'],
language="es") == "Florentina")
#Checking the bug of "Maria de la Cruz" captured as just Maria, due to similarity phonetically of Cruz and Grazia
assert (get_name_from_fullname("Maria De La Cruz Garcia",
['García', 'Grazia'], ['Díez', 'Díaz'],
language="es") == "María de la Cruz")
def __get_profiles__(self):
'''
This function will take all different profiles included inside the excel file
'''
current_sheet = self.loaded_data[self.sheet_title]
#Iterator of missing inptus
number_missing = 0
#The id number to be used
id_profiles = 0
#Temporal variable checking the correct reading
correct_introduction = True
#Intermediate variables for potential parent surnames in the input file
potential_father_surname = []
potential_father_surname_repetitions = []
potential_mother_surname = []
potential_mother_surname_repetitions = []
#Intermediate variables for potential parent names in the input file
potential_father_name = []
potential_father_name_repetitions = []
potential_mother_name = []
potential_mother_name_repetitions = []
#We firstly detect the surnames of the parents of the profile,we cannot avoid the double
#iteration
for row in range(self.initial_row+1, self.loaded_data[self.sheet_title].max_row+1):
for column_index in range(column_index_from_string(self.initial_column),self.loaded_data[self.sheet_title].max_column):
column_criteria = current_sheet.cell(row=self.initial_row, column=column_index).value
cell_value = current_sheet.cell(row=row, column=column_index).value
if (column_criteria in ["father_full_name", "mother_full_name"] ):
#If the cell_value is null we shall avoid continuing
if (cell_value != None):
name_data = get_name_surname_from_complete_name(cell_value, convention=self.naming_convention, language=self.language)
#We have two surnames or one?
surname_cand = name_data[1]
if (name_data[2] == 2):
surname_cand = name_data[1].split()[0]
if(column_criteria == "father_full_name"):
if (not surname_cand in potential_father_surname):
potential_father_surname.append(surname_cand)
potential_father_surname_repetitions.append(1)
else:
index = potential_father_surname.index(surname_cand)
potential_father_surname_repetitions[index] = potential_father_surname_repetitions[index] + 1
if (not name_data[0] in potential_father_name):
potential_father_name.append(name_data[0])
potential_father_name_repetitions.append(1)
else:
index = potential_father_name.index(name_data[0])
potential_father_name_repetitions[index] = potential_father_name_repetitions[index] + 1
elif(column_criteria == "mother_full_name"):
if (not surname_cand in potential_mother_surname):
potential_mother_surname.append(surname_cand)
potential_mother_surname_repetitions.append(1)
else:
index = potential_mother_surname.index(surname_cand)
potential_mother_surname_repetitions[index] = potential_mother_surname_repetitions[index] + 1
if (not name_data[0] in potential_mother_name):
potential_mother_name.append(name_data[0])
potential_mother_name_repetitions.append(1)
else:
index = potential_mother_name.index(name_data[0])
potential_mother_name_repetitions[index] = potential_mother_name_repetitions[index] + 1
index_father_surname = potential_father_surname_repetitions.index(max(potential_father_surname_repetitions))
index_mother_surname = potential_mother_surname_repetitions.index(max(potential_mother_surname_repetitions))
father_surname = potential_father_surname[index_father_surname]
mother_surname = potential_mother_surname[index_mother_surname]
index_father_name = potential_father_name_repetitions.index(max(potential_father_name_repetitions))
index_mother_name = potential_mother_name_repetitions.index(max(potential_mother_name_repetitions))
father_name = potential_father_name[index_father_name]
mother_name = potential_mother_name[index_mother_name]
self.father_profile = gen_profile(father_name, father_surname)
self.mother_profile = gen_profile(mother_name, mother_surname)
children_surname = get_children_surname(father_surname, mother_surname, self.naming_convention)
#Now we read the complete file
for row in range(self.initial_row+1, self.loaded_data[self.sheet_title].max_row+1):
included_profile = gen_profile("TBD", children_surname)
included_right = True
for column_index in range(column_index_from_string(self.initial_column),self.loaded_data[self.sheet_title].max_column):
column_criteria = current_sheet.cell(row=self.initial_row, column=column_index).value
cell_value = current_sheet.cell(row=row, column=column_index).value
#We are ignoring all those cells that are empty.
if ( cell_value ):
this_introduction = True
#Ok, now we go one by one each of the different values
if(column_criteria == "gender"):
this_introduction = included_profile.setCheckedGender(cell_value)
elif (column_criteria in LOCATION_EQUIVALENCE.keys()):
included_profile.setPlaces(LOCATION_EQUIVALENCE[column_criteria], cell_value, self.language)
elif (column_criteria == "person_url"):
included_profile.setWebReference("https://familysearch.org/" +cell_value)
elif (column_criteria in date_fields.keys()):
#Notice that we shall detect if the given date is a year or a specific date
#we will make the different using "about" and using datetime in the background
if(is_year(cell_value)):
this_introduction = self.__include_a_date__(column_criteria, included_profile, datetime.strptime(str(cell_value.replace(" ", "")), "%Y").date(), "ABOUT")
else:
this_introduction = self.__include_a_date__(column_criteria, included_profile, datetime.strptime(cell_value, "%d %b %Y").date(), "EXACT")
elif(column_criteria == "full_name"):
included_profile.set_name(get_name_from_fullname(cell_value,potential_father_surname, potential_mother_surname, language=self.language))
#In the case the name if not the same, we create it as nickname
if (cell_value != included_profile.returnFullName()): included_profile.add_nickname(cell_value)
elif (column_criteria == "spouse_full_name"):
#Here we create a new profile using the surname of the guy
names = get_name_surname_from_complete_name(cell_value, convention=self.naming_convention, language=self.language)
partner = gen_profile(names[0], names[1])
partner.set_id(id_profiles)
#If the surname is changed we shall include the previous surname in the nicknames
if (cell_value != partner.returnFullName()): partner.add_nickname(cell_value)
#Now we link the profiles
included_profile.set_marriage_id_link(id_profiles)
self.related_profiles[id_profiles] = partner
elif (column_criteria == "other_full_names"):
#The separator provided by family search is semicolumn
parents = cell_value.split(";")
#We obtain firstly the different names
father_name, father_surname, _ = get_name_surname_from_complete_name(parents[0], convention=self.naming_convention, language=self.language)
if (len(parents) == 2):
mother_name, mother_surname, _ = get_name_surname_from_complete_name(parents[1], convention=self.naming_convention, language=self.language)
#The algorithm provides an empty surname, we fill it with not known
if (father_surname == ""): father_surname = NOT_KNOWN_VALUE
if (mother_surname == ""): mother_surname = NOT_KNOWN_VALUE
#Create the standard profiles
father = gen_profile(father_name, father_surname)
mother = gen_profile(mother_name, mother_surname)
#If the surname is changed we shall include the previous surname in the nicknames
if (parents[0] != father.returnFullName()): father.add_nickname(parents[0])
if (len(parents) == 2) and (parents[1] != mother.returnFullName()): mother.add_nickname(parents[1])
#add gender
father.setCheckedGender("M")
mother.setCheckedGender("F")
self.parents_profiles[id_profiles] = [father, mother]
elif (column_criteria in ignored_fields):
pass
else:
number_missing = number_missing + 1
logging.warning(COLUMN_NOT_FOUND + column_criteria)
if (not this_introduction): included_right = False
#This is a way to later on identify the link between the profiles
id_profiles += 1
if(not included_right) : correct_introduction = False
self.profiles.append(included_profile)
#Now we know the data we fix some with the proper logic
for profile_obtained in self.profiles:
#If the baptism and birth are close enough we assign the birth place to the baptism place
birth_d = profile_obtained.gen_data.get("birth_date", None)
bapt_d = profile_obtained.gen_data.get("baptism_date", None)
if birth_d and bapt_d:
difference = bapt_d - birth_d
if abs(difference.days) < DIFFERNCE_BIRTH_BAPT:
place_birth = profile_obtained.gen_data.get("birth_place", {}).get("raw", None)
place_baptism = profile_obtained.gen_data.get("baptism_place", {}).get("raw", None)
if place_baptism and not place_birth:
profile_obtained.setPlaces("birth_place",get_location_standard(profile_obtained.gen_data["baptism_place"]), self.language)
if profile_obtained.gen_data.get("marriage_link", None) in self.related_profiles.keys():
id_of_marriage = profile_obtained.gen_data["marriage_link"]
partner = self.related_profiles[id_of_marriage]
partner.setWebReference(profile_obtained.gen_data["web_ref"])
#It is a partner so we add as opposite sex!
partner.setCheckedGender(get_partner_gender(profile_obtained.gen_data["gender"]))
partner.setCheckedDate("marriage_date", profile_obtained.gen_data["marriage_date"], profile_obtained.gen_data["accuracy_marriage_date"] )
partner.setPlaces("marriage_place", profile_obtained.gen_data["marriage_place"]["raw"], language=self.language )
if id_of_marriage in self.parents_profiles.keys():
father = self.parents_profiles[id_of_marriage][0]
mother = self.parents_profiles[id_of_marriage][1]
father.setWebReference(profile_obtained.gen_data["web_ref"])
mother.setWebReference(profile_obtained.gen_data["web_ref"])
surnames = get_splitted_name_from_complete_name(partner.gen_data["surname"], language=self.language)[0]
if (father.gen_data["surname"] == NOT_KNOWN_VALUE):
#It might be the case that the surname is empty
#Ok the data was not including the right data, but we know the surname
if (self.naming_convention == "spanish_surname" and len(surnames) != 0):
father.gen_data["surname"] = surnames[0]
else:
father.gen_data["surname"] = partner.gen_data["surname"]
if (mother.gen_data["surname"] == NOT_KNOWN_VALUE) and (self.naming_convention == "spanish_surname") and (len(surnames) == 2):
mother.gen_data["surname"] = surnames[1]
if (self.naming_convention == "spanish_surname"):
#We need to ensure 2 surnames in spanish naming conventions
if not (mother.gen_data["surname"] in partner.gen_data["surname"]) or (len(partner.gen_data["surname"].split()) == 1):
#In the case we have 2 surnames, we try to eliminate the second surnames.
partner_surname_data = get_splitted_name_from_complete_name(partner.gen_data["surname"], language=self.language)
mother_surname_data = get_splitted_name_from_complete_name(mother.gen_data["surname"], language=self.language)
if len(partner.gen_data["nicknames"]) == 0: partner.add_nickname(partner.returnFullName())
partner.gen_data["surname"] = " ".join([partner_surname_data[0][0], mother_surname_data[0][0]])
#Finally, let's merge those profiles that are the same!
indexes_to_remove = []
iterating_list = list(self.profiles)
for i in range(len(iterating_list)):
#We are going one by one all the different profiles
if not i in indexes_to_remove:
for j, other_prof in enumerate(iterating_list[i+1:]):
merged = self.profiles[i].merge_profile(other_prof, language=self.language, convention=self.naming_convention)
if merged:
indexes_to_remove.append(i+j+1)
new_values = list(set(indexes_to_remove))
new_values.sort()
for deletion in reversed(new_values):
del self.profiles[deletion]
return correct_introduction
