uploading file changes as per sheet also add field RA_bill in model tr_ex, mh_ex.

.gitignore

@@ -1,8 +1,11 @@
-# Ignore folders
-instance/
+# Ingnor upload files
 app/static/uploads/
-# Ignore files
-.env
 
-# Ignore by type
-*.log
+# Ignore files
+venv
+
+# Ignore Log files 
+logs
+
+# Ignore db folders
+instance

app/models/manhole_excavation_model.py

@@ -49,13 +49,14 @@ class ManholeExcavation(db.Model):
     Soft_Rock_1_5_and_above_total = db.Column(db.Float)
 
     Hard_Rock_0_to_1_5_total = db.Column(db.Float)
-    Hard_Rock_1_5_and_above_total = db.Column(db.Float)
+    Hard_Rock_1_5_to_3_0_total = db.Column(db.Float)
     Hard_Rock_3_0_to_4_5_total = db.Column(db.Float)
     Hard_Rock_4_5_to_6_0_total = db.Column(db.Float)
     Hard_Rock_6_0_to_7_5_total = db.Column(db.Float)
 
-    Remarks = db.Column(db.String(500))
     Total = db.Column(db.Float)
+    Remarks = db.Column(db.String(500))
+    RA_Bill_No=db.Column(db.String(500))
 
     created_at = db.Column(db.DateTime, default=datetime.today)
 

app/models/tr_ex_client_model.py

@@ -75,8 +75,8 @@ class TrenchExcavationClient(db.Model):
     Hard_Rock_4_5_to_6_0_total = db.Column(db.Float)
     Hard_Rock_6_0_to_7_5_total = db.Column(db.Float)
 
-    Remarks = db.Column(db.String(500))
     Total = db.Column(db.Float)
+    Remarks = db.Column(db.String(500))
 
     created_at = db.Column(db.DateTime, default=datetime.today)
 

app/models/trench_excavation_model.py

@@ -60,15 +60,17 @@ class TrenchExcavation(db.Model):
     Soft_Rock_1_5_and_above_total = db.Column(db.Float)
 
     Hard_Rock_0_to_1_5_total = db.Column(db.Float)
-    Hard_Rock_1_5_and_above_total = db.Column(db.Float)
+    Hard_Rock_1_5_to_3_0_total = db.Column(db.Float)
     Hard_Rock_3_0_to_4_5_total = db.Column(db.Float)
     Hard_Rock_4_5_to_6_0_total = db.Column(db.Float)
     Hard_Rock_6_0_to_7_5_total = db.Column(db.Float)
 
-    Remarks = db.Column(db.String(500))
     Total = db.Column(db.Float)
+    Remarks = db.Column(db.String(500))
+    RA_Bill_No=db.Column(db.String(500))
     
     created_at = db.Column(db.DateTime, default=datetime.today)
 
+
     def __repr__(self):
         return f"<TrenchExcavation {self.Location}>"

app/services/file_service.py

@@ -23,6 +23,8 @@ class FileService:
     # def handle_file_upload(self, file, subcontractor_id, file_type):
     def handle_file_upload(self, file, subcontractor_id):
 
+        RA_Bill_No = 1    # this RA bill define temp for upload (changes also)
+
         if not subcontractor_id:
             return False, "Please select subcontractor."
         # if not file_type:
@@ -41,26 +43,26 @@ class FileService:
         filepath = os.path.join(folder, filename)
         file.save(filepath)
 
-        print("name::::",filename)
-
         try:
 
             # df = pd.read_csv(filepath) if filename.endswith(".csv") else pd.read_excel(filepath)
-            df = pd.read_excel(filepath, sheet_name ="Tr.Ex.", header=0)
-            df1 = pd.read_excel(filepath, sheet_name="MH Ex.", header=0)
-            df2 = pd.read_excel(filepath, sheet_name="MH & DC", header=0)
 
-            print("\n=== Uploaded File Preview ===")
-            print(" file name h:",df)
-            print("=============================\n")
-            print(" file name h1:",df1)
-            # print(df.head())
-            print("=============================\n")
-            print(" file name h1:",df2)
+            df_tr_ex = pd.read_excel(filepath, sheet_name ="Tr.Ex.", header=12)
+            df_mh_ex = pd.read_excel(filepath, sheet_name="MH Ex.", header=12)
+            # df2 = pd.read_excel(filepath, sheet_name="MH & DC", header=0)
+
+            print("\n=== Uploaded File tr ex ===")
+            print(df_tr_ex.head())
+            print("=============================\n")
+           
+            print("=== Uploaded File mh ex   ===")
+            print(df_mh_ex.head())
+            print("========================================")
+
+            self.process_trench_excavation(df_tr_ex, subcontractor_id, RA_Bill_No)
+            self.process_manhole_excavation(df_mh_ex, subcontractor_id,RA_Bill_No)
+
             
-            self.process_trench_excavation(df,subcontractor_id)
-            self.process_manhole_excavation(df1,subcontractor_id)
-            self.process_manhole_domestic_chamber(df2, subcontractor_id)
 
             # df = pd.read_csv(filepath) if filename.endswith(".csv") else pd.read_excel(filepath)
 
@@ -94,96 +96,316 @@ class FileService:
             return False, f"Processing failed: {e}"
 
 
-    #  ---------------------- Sub contractor --------------------------
-    #   Trench Excavation save method (TrenchExcavation model)
-    def process_trench_excavation(self, df, subcontractor_id):
-        df.columns = [str(c).strip() for c in df.columns]
-        # If the sheet has merged cells -> forward fill Location
+ 
+        
+    #    new new 
+    def process_trench_excavation(self, df, subcontractor_id,RA_Bill_No):
+
+        print("RA_Bill_No of Tr Ex:",RA_Bill_No)
+
+        print("=== RAW HEADERS ===")
+        print(df.columns.tolist())
+        print("===================")
+
+        # Clean column names
+        df.columns = (
+            df.columns.astype(str)
+            .str.strip()
+            .str.replace(r"[^\w]", "_", regex=True)
+            .str.replace("__+", "_", regex=True)
+            .str.strip("_")
+        )
+
+        # Remove completely empty rows
+        df = df.dropna(how="all")
+
+        # Forward fill merged Location
         if "Location" in df.columns:
             df["Location"] = df["Location"].ffill()
 
-        df = df.dropna(how="all") # REMOVE empty rows
-        # Identify missing location rows before insert
-        missing_loc = df[df["Location"].isna() | (df["Location"].astype(str).str.strip() == "")]
-        if not missing_loc.empty:
-            return False, f"Error: Some rows have empty Location. Rows: {missing_loc.index.tolist()}"
-
         saved_count = 0
+        skipped_count = 0
 
         try:
             for index, row in df.iterrows():
                 record_data = {}
-                # Insert only fields that exist in model
+                location = row.get("Location")
+                mh_no = row.get("MH_NO")
+
+                if (pd.isna(location) or str(location).strip() == "" or pd.isna(mh_no) or str(mh_no).strip() == ""):
+                    skipped_count += 1
+                    continue
+
+                # Map only model columns
                 for col in df.columns:
                     if hasattr(TrenchExcavation, col):
                         value = row[col]
+
                         # Normalize empty values
-                        if pd.isna(value) or str(value).strip() in ["", "-", "—", "nan", "NaN"]:
+                        if pd.isna(value) or str(value).strip() in ["", "-", "—", "nan"]:
                             value = None
 
                         record_data[col] = value
                        
+                # If all mapped fields are None → skip
+                if all(v is None for v in record_data.values()):
+                    skipped_count += 1
+                    continue
+
                 record = TrenchExcavation(
-                    subcontractor_id=subcontractor_id,
+                    subcontractor_id=subcontractor_id, RA_Bill_No=RA_Bill_No,
                     **record_data
                 )
 
+                print("Saving Row → Location:", record.Location, " MH_NO:", record.MH_NO)
+
                 db.session.add(record)
                 saved_count += 1
 
             db.session.commit()
-            return True, f"Trench Excavation data saved successfully. Total rows: {saved_count}"
+
+            return True, (
+                f"Trench Excavation saved successfully. "
+                f"Inserted: {saved_count}, Skipped: {skipped_count}"
+            )
 
         except Exception as e:
             db.session.rollback()
-            return False, f"Trench Excavation Save Failed: {e}"
+            return False, f"Trench Excavation save failed: {e}"
         
 
-    #   Manhole Excavation save method (ManholeExcavation model)
-    def process_manhole_excavation(self, df, subcontractor_id):
-        # Clean column names (strip whitespace)
-        df.columns = [str(c).strip() for c in df.columns]
-        # If the sheet has merged cells -> forward fill Location
+    #  new new 
+    def process_manhole_excavation(self, df, subcontractor_id, RA_Bill_No):
+
+            print("RA_Bill_No of MH EX:",RA_Bill_No)
+
+            print("=== RAW HEADERS ===")
+            print(df.columns.tolist())
+            print("===================")
+
+            # Clean column names
+            df.columns = (
+                df.columns.astype(str)
+                .str.strip()
+                .str.replace(r"[^\w]", "_", regex=True)
+                .str.replace("__+", "_", regex=True)
+                .str.strip("_")
+            )
+
+            # Remove completely empty rows
+            df = df.dropna(how="all")
+
+            # Forward fill merged Location
             if "Location" in df.columns:
                 df["Location"] = df["Location"].ffill()
 
-        # REMOVE empty rows
-        df = df.dropna(how="all")
-        # Identify missing location rows before insert
-        missing_loc = df[df["Location"].isna() | (df["Location"].astype(str).str.strip() == "")]
-        if not missing_loc.empty:
-            return False, f"Error: Some rows have empty Location. Rows: {missing_loc.index.tolist()}"
-
             saved_count = 0
+            skipped_count = 0
 
             try:
                 for index, row in df.iterrows():
                     record_data = {}
-                # Insert only fields that exist in model
+                    location = row.get("Location")
+                    mh_no = row.get("MH_NO")
+
+                    if (pd.isna(location) or str(location).strip() == "" or pd.isna(mh_no) or str(mh_no).strip() == ""):
+                        skipped_count += 1
+                        continue
+
+                    # Map only model columns
                     for col in df.columns:
                         if hasattr(ManholeExcavation, col):
                             value = row[col]
 
                             # Normalize empty values
-                        if pd.isna(value) or str(value).strip() in ["", "-", "—", "nan", "NaN"]:
+                            if pd.isna(value) or str(value).strip() in ["", "-", "—", "nan"]:
                                 value = None
 
                             record_data[col] = value
                         
+                    # If all mapped fields are None → skip
+                    if all(v is None for v in record_data.values()):
+                        skipped_count += 1
+                        continue
+
                     record = ManholeExcavation(
-                    subcontractor_id=subcontractor_id,
+                        subcontractor_id=subcontractor_id, RA_Bill_No=RA_Bill_No,
                         **record_data
                     )
 
+                    print("Saving Row → Location:", record.Location, " MH_NO:", record.MH_NO)
+
                     db.session.add(record)
                     saved_count += 1
 
                 db.session.commit()
-            return True, f"Manhole Excavation data saved successfully. Total rows: {saved_count}"
+
+                return True, (
+                    f"Manhole Excavation saved successfully. "
+                    f"Inserted: {saved_count}, Skipped: {skipped_count}"
+                )
 
             except Exception as e:
                 db.session.rollback()
-            return False, f"Manhole Excavation Save Failed: {e}"
+                return False, f"Manhole Excavation save failed: {e}"
+
+
+
+#   olds 
+    # def handle_file_upload(self, file, subcontractor_id, file_type):
+    # # def handle_file_upload(self, file, subcontractor_id):
+
+    #     if not subcontractor_id:
+    #         return False, "Please select subcontractor."
+    #     # if not file_type:
+    #     #     return False, "Please select file type."
+    #     if not file or file.filename == "":
+    #         return False, "No file selected."
+    #     if not self.allowed_file(file.filename):
+    #         return False, "Invalid file type! Allowed: CSV, XLSX, XLS"
+
+    #     ensure_upload_folder()
+
+    #     folder = os.path.join(Config.UPLOAD_FOLDER, f"sub_{subcontractor_id}")
+    #     os.makedirs(folder, exist_ok=True)
+
+    #     filename = secure_filename(file.filename)
+    #     filepath = os.path.join(folder, filename)
+    #     file.save(filepath)
+
+    #     try:
+
+    #         # df = pd.read_csv(filepath) if filename.endswith(".csv") else pd.read_excel(filepath)
+    #         df = pd.read_excel(filepath, sheet_name ="Tr.Ex.", header=0)
+    #         df1 = pd.read_excel(filepath, sheet_name="MH Ex.", header=0)
+
+    #         print("\n=== Uploaded File Preview ===")
+    #         print(" file name h:",df)
+    #         print("=============================\n")
+    #         print(" file name h1:",df1)
+    #         # print(df.head())
+    #         print("=============================\n")
+
+    #         # Trench Excavation save (subcontractor)
+    #         if file_type == "trench_excavation":
+    #             return self.process_trench_excavation(df, subcontractor_id)
+            
+    #         # Manhole Excavation save (subcontractor)
+    #         if file_type == "manhole_excavation":
+    #             return self.process_manhole_excavation(df, subcontractor_id)
+            
+    #         # Manhole and Domestic Chamber Construction save (subcontractor)
+    #         if file_type == "manhole_domestic_chamber":
+    #             return self.process_manhole_domestic_chamber(df, subcontractor_id)
+            
+    #         # Tr Ex save (client)
+    #         if file_type =="tr_ex_client":
+    #             return self.client_trench_excavation(df, subcontractor_id)
+
+    #         # Mh Ex save (client)
+    #         if file_type =="mh_ex_client":
+    #             return self.client_manhole_excavation(df, subcontractor_id)
+
+    #          # Mh and Dc  save (client)
+    #         if file_type == "mh_dc_client":
+    #             return self.client_manhole_domestic_chamber(df, subcontractor_id)
+
+    #         return True, "File uploaded successfully."
+
+    #     except Exception as e:
+    #         return False, f"Processing failed: {e}"
+
+
+   #  ---------------------- Sub contractor --------------------------
+    #   Trench Excavation save method (TrenchExcavation model)
+    # def process_trench_excavation(self, df, subcontractor_id):
+    #     df.columns = [str(c).strip() for c in df.columns]
+    #     # If the sheet has merged cells -> forward fill Location
+    #     if "Location" in df.columns:
+    #         df["Location"] = df["Location"].ffill()
+
+    #     df = df.dropna(how="all") # REMOVE empty rows
+    #     # Identify missing location rows before insert
+    #     missing_loc = df[df["Location"].isna() | (df["Location"].astype(str).str.strip() == "")]
+    #     if not missing_loc.empty:
+    #         return False, f"Error: Some rows have empty Location. Rows: {missing_loc.index.tolist()}"
+
+    #     saved_count = 0
+
+    #     try:
+    #         for index, row in df.iterrows():
+    #             record_data = {}
+    #             # Insert only fields that exist in model
+    #             for col in df.columns:
+    #                 if hasattr(TrenchExcavation, col):
+    #                     value = row[col]
+    #                     # Normalize empty values
+    #                     if pd.isna(value) or str(value).strip() in ["", "-", "—", "nan", "NaN"]:
+    #                         value = None
+
+    #                     record_data[col] = value
+
+    #             record = TrenchExcavation(
+    #                 subcontractor_id=subcontractor_id,
+    #                 **record_data
+    #             )
+
+    #             db.session.add(record)
+    #             saved_count += 1
+
+    #         db.session.commit()
+    #         return True, f"Trench Excavation data saved successfully. Total rows: {saved_count}"
+
+    #     except Exception as e:
+    #         db.session.rollback()
+    #         return False, f"Trench Excavation Save Failed: {e}"
+
+
+    #   Manhole Excavation save method (ManholeExcavation model)
+    # def process_manhole_excavation(self, df, subcontractor_id):
+    #     # Clean column names (strip whitespace)
+    #     df.columns = [str(c).strip() for c in df.columns]
+    #     # If the sheet has merged cells -> forward fill Location
+    #     if "Location" in df.columns:
+    #         df["Location"] = df["Location"].ffill()
+
+    #     # REMOVE empty rows
+    #     df = df.dropna(how="all")
+    #     # Identify missing location rows before insert
+    #     missing_loc = df[df["Location"].isna() | (df["Location"].astype(str).str.strip() == "")]
+    #     if not missing_loc.empty:
+    #         return False, f"Error: Some rows have empty Location. Rows: {missing_loc.index.tolist()}"
+
+    #     saved_count = 0
+
+    #     try:
+    #         for index, row in df.iterrows():
+    #             record_data = {}
+    #             # Insert only fields that exist in model
+    #             for col in df.columns:
+    #                 if hasattr(ManholeExcavation, col):
+    #                     value = row[col]
+
+    #                     # Normalize empty values
+    #                     if pd.isna(value) or str(value).strip() in ["", "-", "—", "nan", "NaN"]:
+    #                         value = None
+
+    #                     record_data[col] = value
+
+    #             record = ManholeExcavation(
+    #                 subcontractor_id=subcontractor_id,
+    #                 **record_data
+    #             )
+
+    #             db.session.add(record)
+    #             saved_count += 1
+
+    #         db.session.commit()
+    #         return True, f"Manhole Excavation data saved successfully. Total rows: {saved_count}"
+
+    #     except Exception as e:
+    #         db.session.rollback()
+    #         return False, f"Manhole Excavation Save Failed: {e}"
 
 
     #   Manhole and Domestic Chamber Construction save method (ManholeDomesticChamber  model)