From 631ae3f8b07c958d1febf931c9eac67a0a1091b9 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E5=A4=A7=E5=B8=88?= <taolm@139.com>
Date: Tue, 9 Jun 2026 03:58:22 +0800
Subject: [PATCH] =?UTF-8?q?feat:=20=E8=AE=A4=E5=AE=9AvsOA=E5=A2=9E?=
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MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
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---
 .../cleaned/危大方案看板数据工作簿.xlsx       | Bin 69127 -> 69233 bytes
 data/认定数据/2026/certified_schemes.csv      |  16 ++++++++--------
 data/认定数据/2026/certified_schemes.parquet  | Bin 8000 -> 10871 bytes
 src/clean_certified.py                        |  12 ++++++++++--
 src/gen_workbook.py                           |   9 ++++++---
 5 files changed, 24 insertions(+), 13 deletions(-)

diff --git a/data/2026-06-08/cleaned/危大方案看板数据工作簿.xlsx b/data/2026-06-08/cleaned/危大方案看板数据工作簿.xlsx
index c40b3709d19f04e396e3e81ca13879a2bef6002c..2f1a8f2b2e3856bd80bcbcc1b7f659d11d9b71a7 100644
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diff --git a/data/认定数据/2026/certified_schemes.csv b/data/认定数据/2026/certified_schemes.csv
index da740a7..4e85e04 100644
--- a/data/认定数据/2026/certified_schemes.csv
+++ b/data/认定数据/2026/certified_schemes.csv
@@ -1,8 +1,8 @@
-项目名称,认定_危大方案总数,认定_超规数,所属国别,平台_匹配项目,平台_方案总数,平台_超规数,差额,匹配状态
-沙特利雅得德拉伊耶门二期多功能场馆及办公楼房建项目,5,2,沙特,沙特利雅得德拉伊耶门二期多功能场馆及办公楼房建项目,3,1,-2,✅
-沙特吉赞基础下游工业城3区1巷独栋别墅一期项目,1,0,沙特,沙特吉赞基础下游工业城3区1巷独栋别墅一期项目,3,2,2,✅
-沙特达曼港第一和第二集装箱码头升级改造工程项目,1,1,沙特,沙特达曼港第一和第二集装箱码头升级改造工程,3,2,2,✅
-阿联酋沙迦卡尔巴摩托艇码头项目,2,0,阿联酋,阿联酋沙迦卡尔巴摩托艇港开发项目,3,1,1,✅
-阿联酋迪拜马克图姆国际机场地下结构工程项目,31,12,阿联酋,阿联酋迪拜马克图姆国际机场地下结构工程项目,35,13,4,✅
-阿联酋阿布扎比哈里发港EGA泊位翻新项目,1,0,阿联酋,阿联酋阿布扎比哈里发港EGA泊位翻新工程项目,1,0,0,✅
-阿联酋阿布扎比马斯努阿岛水工项目,2,1,阿联酋,阿联酋阿布扎比马斯努阿岛水工项目,0,0,-2,✅
+项目名称,认定_危大方案总数,认定_超规数,所属国别,认定_一般数,平台_匹配项目,平台_方案总数,平台_超规数,平台_一般数,差额_超规,差额_一般,差额_合计,匹配状态
+沙特利雅得德拉伊耶门二期多功能场馆及办公楼房建项目,5,2,沙特,3,沙特利雅得德拉伊耶门二期多功能场馆及办公楼房建项目,3,1,2,-1,-1,-2,✅
+沙特吉赞基础下游工业城3区1巷独栋别墅一期项目,1,0,沙特,1,沙特吉赞基础下游工业城3区1巷独栋别墅一期项目,3,2,1,2,0,2,✅
+沙特达曼港第一和第二集装箱码头升级改造工程项目,1,1,沙特,0,沙特达曼港第一和第二集装箱码头升级改造工程,3,2,1,1,1,2,✅
+阿联酋沙迦卡尔巴摩托艇码头项目,2,0,阿联酋,2,阿联酋沙迦卡尔巴摩托艇港开发项目,3,1,2,1,0,1,✅
+阿联酋迪拜马克图姆国际机场地下结构工程项目,31,12,阿联酋,19,阿联酋迪拜马克图姆国际机场地下结构工程项目,35,13,22,1,3,4,✅
+阿联酋阿布扎比哈里发港EGA泊位翻新项目,1,0,阿联酋,1,阿联酋阿布扎比哈里发港EGA泊位翻新工程项目,1,0,1,0,0,0,✅
+阿联酋阿布扎比马斯努阿岛水工项目,2,1,阿联酋,1,阿联酋阿布扎比马斯努阿岛水工项目,0,0,0,-1,-1,-2,✅
diff --git a/data/认定数据/2026/certified_schemes.parquet b/data/认定数据/2026/certified_schemes.parquet
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diff --git a/src/clean_certified.py b/src/clean_certified.py
index fc60772..4d9cca8 100644
--- a/src/clean_certified.py
+++ b/src/clean_certified.py
@@ -220,18 +220,26 @@ if PLATFORM_PARQUET.exists():
             if ratio > best_ratio:
                 best_ratio = ratio; best_match = plat_name
         row_dict = cert_row.to_dict()
+        # 认定一般数 = 总数 - 超规
+        row_dict['认定_一般数'] = row_dict['认定_危大方案总数'] - row_dict['认定_超规数']
         if best_match and best_ratio >= 0.75:
             prow = platform_counts[platform_counts['项目名称'] == best_match].iloc[0]
             row_dict['平台_匹配项目'] = best_match
             row_dict['平台_方案总数'] = int(prow['平台_方案总数'])
             row_dict['平台_超规数'] = int(prow['平台_超规数'])
-            row_dict['差额'] = int(prow['平台_方案总数']) - row_dict['认定_危大方案总数']
+            row_dict['平台_一般数'] = int(prow['平台_方案总数']) - int(prow['平台_超规数'])
+            row_dict['差额_超规'] = int(prow['平台_超规数']) - row_dict['认定_超规数']
+            row_dict['差额_一般'] = row_dict['平台_一般数'] - row_dict['认定_一般数']
+            row_dict['差额_合计'] = int(prow['平台_方案总数']) - row_dict['认定_危大方案总数']
             row_dict['匹配状态'] = '✅'
         else:
             row_dict['平台_匹配项目'] = ''
             row_dict['平台_方案总数'] = 0
             row_dict['平台_超规数'] = 0
-            row_dict['差额'] = -row_dict['认定_危大方案总数']
+            row_dict['平台_一般数'] = 0
+            row_dict['差额_超规'] = -row_dict['认定_超规数']
+            row_dict['差额_一般'] = -row_dict['认定_一般数']
+            row_dict['差额_合计'] = -row_dict['认定_危大方案总数']
             row_dict['匹配状态'] = '⚠️ 未匹配'
         matched.append(row_dict)
     df_result = pd.DataFrame(matched)
diff --git a/src/gen_workbook.py b/src/gen_workbook.py
index 952f094..65377b4 100644
--- a/src/gen_workbook.py
+++ b/src/gen_workbook.py
@@ -110,17 +110,20 @@ write_data_sheet(s3,cert_valid.reset_index(drop=True),
 
 # ════════ S4: 认定vsOA ════════
 s4=wb.create_sheet('认定vsOA')
-COMP_COLS=['项目名称','认定_危大方案总数','认定_超规数','所属国别','平台_方案总数','平台_超规数','差额','匹配状态']
+COMP_COLS=['项目名称','认定_危大方案总数','认定_超规数','认定_一般数',
+           '平台_方案总数','平台_超规数','平台_一般数',
+           '差额_超规','差额_一般','差额_合计','匹配状态']
 ncol_c=len(COMP_COLS)
 s4.merge_cells(start_row=1,start_column=1,end_row=1,end_column=ncol_c)
 s4.cell(1,1,f'认定 vs OA登记 项目级对比（{REPORT_DATE}）').font=TITLE_F; s4.cell(1,1).border=GOLD_BD
 hdr_row(s4,3,COMP_COLS)
 for ri,(_,row) in enumerate(cert_comp.iterrows()):
     for ci,col in enumerate(COMP_COLS):
-        v=row[col]
+        v=row.get(col,'')
         if pd.isna(v): v=''
         cell=s4.cell(ri+4,ci+1,v); cell.font=DATA_F; cell.border=BORDER
-        if col=='差额' and isinstance(v,(int,float)) and v!=0:
+        # 差额高亮
+        if col.startswith('差额_') and isinstance(v,(int,float)) and v!=0:
             cell.font=RED_F if v<0 else GREEN_F
         if col=='匹配状态': cell.font=GREEN_F if '✅' in str(v) else DATA_F
 s4.auto_filter.ref=f'A3:{get_column_letter(ncol_c)}{len(cert_comp)+3}'