import os import pandas as pd from werkzeug.utils import secure_filename from app.config import Config from app import db from app.models.trench_excavation_model import TrenchExcavation from app.models.manhole_excavation_model import ManholeExcavation from app.models.manhole_domestic_chamber_model import ManholeDomesticChamber from app.models.tr_ex_client_model import TrenchExcavationClient from app.models.mh_ex_client_model import ManholeExcavationClient from app.models.mh_dc_client_model import ManholeDomesticChamberClient from app.utils.file_utils import ensure_upload_folder class FileService: def allowed_file(self, filename): return ( "." in filename and filename.rsplit(".", 1)[1].lower() in Config.ALLOWED_EXTENSIONS ) # -------------------------- SUBCONTRACTORFILE UPLOAD ------------------------- # SUBCONTRACTOR FILE UPLOAD def handle_file_upload(self, file, subcontractor_id, RA_Bill_No): if not subcontractor_id: return False, "Please select subcontractor." if not RA_Bill_No: return False, "Please Enter RA Bill No." 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_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) df_mh_dc = pd.read_excel(filepath, sheet_name="MH & DC", header=11) 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_manhole_domestic_chamber(df_mh_dc, subcontractor_id, RA_Bill_No) return True, "SUBCONTRACTOR File uploaded successfully." except Exception as e: db.session.rollback() return False, f"Processing failed(SUBCONTRACTOR): {e}" # Trench Excavation (Subcontractor) def process_trench_excavation(self, df, subcontractor_id, RA_Bill_No): df.columns = ( df.columns.astype(str) .str.strip() .str.replace(r"[^\w]", "_", regex=True) .str.replace("__+", "_", regex=True) .str.strip("_") ) df = df.dropna(how="all") if "Location" in df.columns: df["Location"] = df["Location"].ffill() try: for _, row in df.iterrows(): 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() == "" ): continue record_data = {} for col in df.columns: if hasattr(TrenchExcavation, col): val = row[col] if pd.isna(val) or str(val).strip() in ["", "-", "—", "nan"]: val = None record_data[col] = val record = TrenchExcavation( subcontractor_id=subcontractor_id, RA_Bill_No=RA_Bill_No, **record_data, ) db.session.add(record) db.session.commit() return True, "Trench Excavation saved successfully." except Exception as e: db.session.rollback() raise e # Manhole Excavation (Subcontractor) def process_manhole_excavation(self, df, subcontractor_id, RA_Bill_No): df.columns = ( df.columns.astype(str) .str.strip() .str.replace(r"[^\w]", "_", regex=True) .str.replace("__+", "_", regex=True) .str.strip("_") ) df = df.dropna(how="all") if "Location" in df.columns: df["Location"] = df["Location"].ffill() try: for _, row in df.iterrows(): 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() == "" ): continue record_data = {} for col in df.columns: if hasattr(ManholeExcavation, col): val = row[col] if pd.isna(val) or str(val).strip() in ["", "-", "—", "nan"]: val = None record_data[col] = val record = ManholeExcavation( subcontractor_id=subcontractor_id, RA_Bill_No=RA_Bill_No, **record_data, ) db.session.add(record) db.session.commit() return True, "Manhole Excavation saved successfully." except Exception as e: db.session.rollback() raise e # Manhole & Domestic Chamber (Subcontractor) def process_manhole_domestic_chamber(self, df, subcontractor_id, RA_Bill_No): df.columns = ( df.columns.astype(str) .str.strip() .str.replace(r"[^\w]", "_", regex=True) .str.replace("__+", "_", regex=True) .str.strip("_") ) df = df.dropna(how="all") if "Location" in df.columns: df["Location"] = df["Location"].ffill() try: for _, row in df.iterrows(): location = row.get("Location") node_no = row.get("MH_NO") if ( pd.isna(location) or str(location).strip() == "" or pd.isna(node_no) or str(node_no).strip() == "" ): continue record_data = {} for col in df.columns: if hasattr(ManholeDomesticChamber, col): val = row[col] if pd.isna(val) or str(val).strip() in ["", "-", "—", "nan"]: val = None record_data[col] = val record = ManholeDomesticChamber( subcontractor_id=subcontractor_id, RA_Bill_No=RA_Bill_No, **record_data, ) db.session.add(record) db.session.commit() return True, "Manhole Domestic Chamber saved successfully." except Exception as e: db.session.rollback() raise e # ------------------- CLIENT FILE UPLOAD -------------------------- def handle_client_file_upload(self, file, RA_Bill_No): if not RA_Bill_No: return False, "Please Enter RA Bill No." 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"Client_Bill_{RA_Bill_No}") os.makedirs(folder, exist_ok=True) filename = secure_filename(file.filename) filepath = os.path.join(folder, filename) file.save(filepath) try: df_tr_ex = pd.read_excel(filepath, sheet_name="Tr.Ex.", header=4) df_mh_ex = pd.read_excel(filepath, sheet_name="MH Ex.", header=4) df_mh_dc = pd.read_excel(filepath, sheet_name="MH & DC", header=3) print("------------------") print("df_tr_ex :",df_tr_ex) print("------------------") print("df_mh_ex :",df_mh_ex) print("------------------") print("df_mh_dc :",df_mh_dc) print("------------------") self.save_client_data(df_tr_ex, TrenchExcavationClient, RA_Bill_No) self.save_client_data(df_mh_ex, ManholeExcavationClient, RA_Bill_No) self.save_client_data(df_mh_dc, ManholeDomesticChamberClient, RA_Bill_No) db.session.commit() return True, "Client file uploaded and all data saved successfully." except Exception as e: db.session.rollback() return False, f"Client data save failed: {e}" # Client all model Save Method def save_client_data(self, df, model, RA_Bill_No): df.columns = [str(c).strip() for c in df.columns] if "Location" in df.columns: df["Location"] = df["Location"].ffill() df = df.dropna(how="all") if "Location" in df.columns: missing_loc = df[ df["Location"].isna() | (df["Location"].astype(str).str.strip() == "") ] if not missing_loc.empty: raise Exception( f"{model.__name__}: Empty Location at rows {missing_loc.index.tolist()}" ) for _, row in df.iterrows(): record_data = {} for col in df.columns: if hasattr(model, col): val = row[col] if pd.isna(val) or str(val).strip() in ["", "-", "—", "nan", "NaN"]: val = None record_data[col] = val record = model(RA_Bill_No=RA_Bill_No, **record_data) db.session.add(record)