From 6f0e786aa334aa8fab1cc8a6740a4cd5300bb1bb Mon Sep 17 00:00:00 2001
From: thinh-vu <mrthinh360@gmail.com>
Date: Tue, 29 Oct 2024 23:16:19 +0700
Subject: [PATCH] =?UTF-8?q?c=E1=BA=ADp=20nh=E1=BA=ADt=20c=C6=A1=20ch?=
 =?UTF-8?q?=E1=BA=BF=20lo=E1=BA=A1i=20b=E1=BB=8F=20c=E1=BB=99t=20tr=C3=B9n?=
 =?UTF-8?q?g=20trong=20BCTC?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 .DS_Store                          | Bin 12292 -> 14340 bytes
 .gitignore                         |   2 ++
 vnstock3/explorer/vci/financial.py |   8 +++++++-
 3 files changed, 9 insertions(+), 1 deletion(-)

diff --git a/.DS_Store b/.DS_Store
index c21cf1f30620841fabbe351a848d0a73dff60ffe..5847762a2dd1c079b15adf74496c9a0055888474 100644
GIT binary patch
delta 217
zcmZokXem%&U|?W$DortDU@!nOIe-{M3-ADmHU<U-o{0+jg2q4&Gf<F$A(^2#H{Zo&
zVuJc)109yh+$@5VB?Lq#8!8BI7L@+Qva!LFiIWki8VESJfkNUeo7H)qFf&ST))BbR
zKe0i9QG7Fx!hXih-byQ3HVd$HGHsTXe8)DiK}M1lqRoICNV_7tV6z~{d*;dfI=Wz!
f4}g?Sw&9WHVS+f<0xXcBGjVgRYB?j&%n6JD>@FzD

delta 371
zcmZoEXh~3DU|?W$DortDV9)?EIe-{M3-B;7uy8RjC~!|y&=)iZiZBBO85oioigSv~
z3MM9~Z+y_eJlVj6Wn#DB<bxt|o9C&;GqEtFGL%iery#!BL@9s~XaoZz5CZ`R_r{Cj
zESuGNo-i}YOq`%NSyzC2vxLB9enzRyJPP|6>sc9+7)lv38FCm>a?%Zhlk;;6AUY*j
zfHab9ZoZ34Qcivn$k01gz9FZRjya;MNFku2AOqP31)%oLrxaJQY`!8U$S4i64Gc86
zfs`w9P;9*To_R9AiLMSv9^|tI2o3fmkYECG!2rkx1tds~!Q>p1iJL1`elr4%7hnVc
D$rDOU

diff --git a/.gitignore b/.gitignore
index 72c3deae..07a00e9b 100644
--- a/.gitignore
+++ b/.gitignore
@@ -25,3 +25,5 @@ vnstock3/.DS_Store
 vnstock3/.DS_Store
 vnstock3/.DS_Store
 docs/.DS_Store
+dev/check_MSN_quarter_reports_df.xlsx
+dev/MSN_quarter_reports_df.xlsx
diff --git a/vnstock3/explorer/vci/financial.py b/vnstock3/explorer/vci/financial.py
index cb64f1dd..5c28c48a 100644
--- a/vnstock3/explorer/vci/financial.py
+++ b/vnstock3/explorer/vci/financial.py
@@ -194,11 +194,17 @@ def _ratio_mapping (self, ratio_df:pd.DataFrame, lang:Optional[str]='en', show_l
         # Create a dictionary to map field_name to report type
         mapping_df = self._get_ratio_dict(get_all=False)
         # Filter the mapping DataFrame based on company type code. Split mapping into two parts: 'CT' and company-specific mapping
-        mapping_specific = mapping_df[mapping_df['com_type_code'] == self.com_type_code]
+        if self.com_type_code != 'CT':
+            mapping_specific = mapping_df[mapping_df['com_type_code'] == self.com_type_code]
+        else:
+            mapping_specific = pd.DataFrame()
         mapping_ct = mapping_df[mapping_df['com_type_code'] == 'CT']
         all_columns_mapping = pd.concat([mapping_specific, mapping_ct]).drop_duplicates(subset='field_name', keep='first')
         all_columns_mapping = self.duplicated_columns_handling(all_columns_mapping, target_col_name=target_col_name)
 
+        # remove all values that com_type_code is not 'CT' or self.com_type_code
+        all_columns_mapping = all_columns_mapping[all_columns_mapping['com_type_code'].isin(['CT', self.com_type_code])].copy()
+
         # # Filter the mapping DataFrame based on company type code. Split mapping into two parts: 'CT' and company-specific mapping
         # mapping_specific = mapping_df[mapping_df['com_type_code'] == self.com_type_code]
         # mapping_ct = mapping_df[mapping_df['com_type_code']  != self.com_type_code]