def to_dict_reverse(self):
"""
Convert back link between two persons to indexable presentation.
"""
return {
"date_established":
self.date_established_human,
"date_finished":
self.date_finished_human,
"date_confirmed":
self.date_confirmed_human,
"relationship_type":
self.from_relationship_type,
"relationship_type_en":
translate_into(self.from_relationship_type),
"is_pep":
self.from_person.is_pep,
"person_uk":
"%s %s %s" %
(self.from_person.first_name_uk, self.from_person.patronymic_uk,
self.from_person.last_name_uk),
"person_en":
"%s %s %s" %
(self.from_person.first_name_en, self.from_person.patronymic_en,
self.from_person.last_name_en),
}
def to_dict(self):
"""
Convert Person model to an indexable presentation for ES.
"""
d = model_to_dict(
self,
fields=[
"id",
"last_name",
"first_name",
"patronymic",
"dob",
"last_name_en",
"first_name_en",
"patronymic_en",
"dob_details",
"is_pep",
"names",
"wiki_uk",
"wiki_en",
"city_of_birth_uk",
"city_of_birth_en",
"reputation_sanctions_uk",
"reputation_sanctions_en",
"reputation_convictions_uk",
"reputation_convictions_en",
"reputation_assets_uk",
"reputation_assets_en",
"reputation_crimes_uk",
"reputation_crimes_en",
"reputation_manhunt_uk",
"reputation_manhunt_en",
"also_known_as_uk",
"also_known_as_en",
"last_change",
"inn",
"inn_source",
"passport",
"passport_source",
],
)
d["related_persons"] = [
i.to_dict() for i in self.to_persons.prefetch_related("to_person")
] + [
i.to_dict_reverse()
for i in self.from_persons.prefetch_related("from_person")
]
d["related_countries"] = [
i.to_dict()
for i in self.person2country_set.prefetch_related("to_country")
]
d["related_companies"] = [
i.to_company_dict()
for i in self.person2company_set.prefetch_related("to_company")
]
d["declarations"] = [
i.to_dict()
for i in Declaration.objects.filter(person=self, confirmed="a")
]
manhunt_records = self.manhunt_records
if manhunt_records:
curr_lang = get_language()
activate("uk")
d["reputation_manhunt_uk"] = render_to_string(
"_manhunt_records_uk.jinja",
{"manhunt_records": manhunt_records
}) + (d["reputation_manhunt_uk"] or "")
activate("en")
d["reputation_manhunt_en"] = render_to_string(
"_manhunt_records_en.jinja",
{"manhunt_records": manhunt_records
}) + (d["reputation_manhunt_en"] or "")
activate(curr_lang)
d["inn_source"] = (settings.SITE_URL +
self.inn_source.doc.url if self.inn_source else "")
d["passport_source"] = (settings.SITE_URL +
self.passport_source.doc.url
if self.passport_source else "")
d["photo"] = settings.SITE_URL + self.photo.url if self.photo else ""
d["photo_path"] = self.photo.name if self.photo else ""
d["date_of_birth"] = self.date_of_birth
d["terminated"] = self.terminated
d["last_modified"] = self.last_modified
d["died"] = self.died
if d["terminated"]:
d["reason_of_termination"] = self.get_reason_of_termination_display(
)
d["reason_of_termination_en"] = translate_into(
self.get_reason_of_termination_display(), "en")
d["termination_date_human"] = self.termination_date_human
last_workplace = self.last_workplace
if last_workplace:
d["last_workplace"] = last_workplace["company"]
d["last_job_title"] = last_workplace["position"]
d["last_job_id"] = last_workplace["company_id"]
last_workplace_en = self.last_workplace_en
d["last_workplace_en"] = last_workplace_en["company"]
d["last_job_title_en"] = last_workplace_en["position"]
d["type_of_official"] = self.get_type_of_official_display()
d["type_of_official_en"] = translate_into(
self.get_type_of_official_display(), "en")
d["full_name"] = self.full_name
d["full_name_en"] = self.full_name_en
def generate_suggestions(last_name, first_name, patronymic, *args):
if not last_name:
return []
return [
{
"input": " ".join([last_name, first_name, patronymic]),
"weight": 5
},
{
"input": " ".join([first_name, patronymic, last_name]),
"weight": 2
},
{
"input": " ".join([first_name, last_name]),
"weight": 2
},
]
input_variants = [
generate_suggestions(d["last_name"], d["first_name"],
d["patronymic"])
]
input_variants += list(
map(lambda x: generate_suggestions(*parse_fullname(x)),
self.parsed_names))
d["full_name_suggest"] = list(chain.from_iterable(input_variants))
d["_id"] = d["id"]
return d
def to_dict(self):
d = model_to_dict(
self,
fields=[
"id",
"name_uk",
"short_name_uk",
"name_en",
"short_name_en",
"state_company",
"edrpou",
"wiki",
"city",
"street",
"other_founders",
"other_recipient",
"other_owners",
"other_managers",
"bank_name",
"also_known_as",
],
)
d["related_persons"] = [
i.to_person_dict()
for i in self.from_persons.prefetch_related("from_person")
]
d["related_countries"] = [
i.to_dict()
for i in self.from_countries.prefetch_related("to_country")
]
d["related_companies"] = [
i.to_dict()
for i in self.to_companies.prefetch_related("to_company")
] + [
i.to_dict_reverse()
for i in self.from_companies.prefetch_related("from_company")
]
d["status"] = self.get_status_display()
d["status_en"] = translate_into(self.get_status_display())
d["founded"] = self.founded_human
d["category"] = self.category
d["closed"] = self.closed_on_human
d["last_modified"] = self.last_modified
suggestions = []
names = set([
d["name_uk"],
d["short_name_uk"],
])
for name in list(names):
for ua_table in ALL_UKRAINIAN:
names.add(translit(name, ua_table))
names.add(d["name_en"])
names.add(d["short_name_en"])
for field in names:
if not field:
continue
chunks = list(
map(lambda x: x.strip("'\",.-“”«»"), field.split(" ")))
for i in xrange(len(chunks)):
variant = copy(chunks)
variant = [variant[i]] + variant[:i] + variant[i + 1:]
suggestions.append(" ".join(variant))
if self.edrpou:
edrpou_chunks = list(
filter(
None,
map(
unicode.strip,
re.split("([a-z]+)", self.edrpou, flags=re.IGNORECASE),
),
))
suggestions += edrpou_chunks
suggestions.append(self.edrpou.lstrip("0"))
if self.edrpou.isdigit():
suggestions.append(self.edrpou.rjust(8, "0"))
d["code_chunks"] = edrpou_chunks
d["name_suggest"] = [{"input": x} for x in set(suggestions)]
d["name_suggest_output"] = d["short_name_uk"] or d["name_uk"]
d["name_suggest_output_en"] = d["short_name_en"] or d["name_en"]
d["_id"] = d["id"]
return d
