def get_full_financial_statements(
self,
corporation_code: str,
business_year: int,
report_type: ReportType,
financial_statement_division: Union[
FinancialStatementDivision,
str] = FinancialStatementDivision.FINANCIAL_STATEMENT,
*,
rename: Optional[RenameMode] = RenameMode.ENG,
) -> pd.DataFrame:
fs_div = (financial_statement_division.value if isinstance(
financial_statement_division, FinancialStatementDivision) else
financial_statement_division)
params = {
"corp_code": corporation_code,
"bsns_year": str(business_year),
"reprt_code": report_type.value,
"fs_div": fs_div,
}
df = pd.DataFrame(i for i in self.client.iter_list_resource(
"fnlttSinglAcntAll", params))
df = convert_known_numeric_fields(df)
df = convert_known_ratio_fields(df)
df = convert_known_date_fields(df)
df = rename_fields(df, mapping=RENAME_MAPPINGS.get(rename))
return df
def get_financial_statements_of_major_accounts(
self,
corporation_codes: Sequence[str],
business_year: int,
report_type: ReportType,
*,
rename: Optional[RenameMode] = RenameMode.ENG,
) -> pd.DataFrame:
if len(corporation_codes) > 1:
params = {
"corp_code": ','.join(corporation_codes),
"bsns_year": str(business_year),
"reprt_code": report_type.value,
}
df = pd.DataFrame(i for i in self.client.iter_list_resource(
"fnlttMultiAcnt", params))
else:
params = {
"corp_code": corporation_codes[0],
"bsns_year": str(business_year),
"reprt_code": report_type.value,
}
df = pd.DataFrame(i for i in self.client.iter_list_resource(
"fnlttSinglAcnt", params))
df = convert_known_numeric_fields(df)
df = convert_known_ratio_fields(df)
df = convert_known_date_fields(df)
df = rename_fields(df, mapping=RENAME_MAPPINGS.get(rename))
return df
def search(
self,
corporation_code: Optional[str] = None,
date_begin: Optional[date] = None,
date_end: Optional[date] = None,
only_last_report: Optional[bool] = None,
type: Optional[Union[DisclosureType, str]] = None,
type_detail: Optional[Union[DisclosureTypeDetail, str]] = None,
market: Optional[Market] = None,
sort_by: Optional[SortBy] = None,
ascending: bool = False,
page: int = 1,
limit: int = 20,
*,
rename: Optional[RenameMode] = RenameMode.ENG,
) -> Tuple[pd.DataFrame, dict]:
params = {
"corp_code": corporation_code if corporation_code else None,
"bgn_de": date_begin.strftime("%Y%m%d") if date_begin else None,
"end_de": date_end.strftime("%Y%m%d") if date_end else None,
"last_reprt_at": {
True: "Y",
False: "N"
}.get(only_last_report),
"pblntf_ty": str(type) if type else None,
"pblntf_detail_ty": str(type_detail) if type_detail else None,
"corp_cls": market.value if market else None,
"sort_by": sort_by.value if sort_by else None,
"ascending":
("asc" if ascending else "desc") if ascending else None,
"page_no": str(page),
"page_count": str(limit),
}
params = {k: v for k, v in params.items() if v is not None}
search_res = self.client.xml_resource("list", params)
pagination = {
"page": dart_atoi(search_res.find("page_no").text),
"total_page": dart_atoi(search_res.find("total_page").text),
"page_count": dart_atoi(search_res.find("page_count").text),
"total_count": dart_atoi(search_res.find("total_count").text),
}
df = pd.DataFrame({element.tag: element.text
for element in item}
for item in search_res.iter("list"))
df = convert_known_numeric_fields(df)
df = convert_known_ratio_fields(df)
df = convert_known_date_fields(df)
df = rename_fields(df, mapping=RENAME_MAPPINGS.get(rename))
return df, pagination
def get_company_overview(
self,
corporation_code: str,
*,
rename: Optional[RenameMode] = RenameMode.ENG) -> pd.DataFrame:
res = self.client.json_resource("company",
{'corp_code': corporation_code})
df = pd.DataFrame([res])
df = convert_known_numeric_fields(df)
df = convert_known_ratio_fields(df)
df = convert_known_date_fields(df)
df = rename_fields(df, mapping=RENAME_MAPPINGS.get(rename))
return df
def get_executive_shareholder_reports(
self,
corporation_code: str,
*,
rename: Optional[RenameMode] = RenameMode.ENG) -> pd.DataFrame:
params = {"corp_code": corporation_code}
df = pd.DataFrame(
i for i in self.client.iter_list_resource("elestock", params))
df = convert_known_numeric_fields(df)
df = convert_known_ratio_fields(df)
df = convert_known_date_fields(df)
df = rename_fields(df, mapping=RENAME_MAPPINGS.get(rename))
return df
def get_xbrl_taxonomies(
self,
detailed_financial_statement_type: Union[FinancialStatementTypeDetail,
str],
*,
rename: Optional[RenameMode] = RenameMode.ENG,
) -> pd.DataFrame:
params = {"sj_div": str(detailed_financial_statement_type)}
df = pd.DataFrame(
i for i in self.client.iter_list_resource("xbrlTaxonomy", params))
df = convert_known_numeric_fields(df)
df = convert_known_ratio_fields(df)
df = convert_known_date_fields(df)
df = rename_fields(df, mapping=RENAME_MAPPINGS.get(rename))
return df
def _dispatch_business_report(
self,
resource_name: str,
corporation_code: str,
business_year: int,
report_type: ReportType,
*,
rename: Optional[RenameMode] = RenameMode.ENG,
) -> pd.DataFrame:
params = {
"corp_code": corporation_code,
"bsns_year": str(business_year),
"reprt_code": report_type.value
}
df = pd.DataFrame(
i for i in self.client.iter_list_resource(resource_name, params))
df = convert_known_numeric_fields(df)
df = convert_known_ratio_fields(df)
df = convert_known_date_fields(df)
df = rename_fields(df, mapping=RENAME_MAPPINGS.get(rename))
return df
