307 lines
10 KiB
Python
307 lines
10 KiB
Python
import os
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import pandas as pd
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from werkzeug.utils import secure_filename
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from app.config import Config
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from app import db
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from app.models.trench_excavation_model import TrenchExcavation
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from app.models.manhole_excavation_model import ManholeExcavation
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from app.models.manhole_domestic_chamber_model import ManholeDomesticChamber
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from app.models.tr_ex_client_model import TrenchExcavationClient
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from app.models.mh_ex_client_model import ManholeExcavationClient
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from app.models.mh_dc_client_model import ManholeDomesticChamberClient
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from app.utils.file_utils import ensure_upload_folder
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class FileService:
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# ---------------- COMMON HELPERS ----------------
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def allowed_file(self, filename):
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return ("." in filename and filename.rsplit(".", 1)[1].lower() in Config.ALLOWED_EXTENSIONS)
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def normalize(self, val):
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if val is None or pd.isna(val):
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return None
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val = str(val).strip()
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if val.lower() in ["", "nan", "none", "-", "—"]:
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return None
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return val.upper()
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# ---------------- SUBCONTRACTOR FILE UPLOAD ----------------
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def handle_file_upload(self, file, subcontractor_id, RA_Bill_No):
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if not subcontractor_id:
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return False, "Please select subcontractor."
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if not RA_Bill_No:
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return False, "Please Enter RA Bill No."
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if not file or file.filename == "":
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return False, "No file selected."
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if not self.allowed_file(file.filename):
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return False, "Invalid file type! Allowed: CSV, XLSX, XLS"
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ensure_upload_folder()
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folder = os.path.join(Config.UPLOAD_FOLDER, f"sub_{subcontractor_id}")
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os.makedirs(folder, exist_ok=True)
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filename = secure_filename(file.filename)
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filepath = os.path.join(folder, filename)
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file.save(filepath)
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try:
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df_tr_ex = pd.read_excel(filepath, sheet_name="Tr.Ex.", header=12, dtype={"MH No": str})
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df_mh_ex = pd.read_excel(filepath, sheet_name="MH Ex.", header=12, dtype={"MH No": str})
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df_mh_dc = pd.read_excel(filepath, sheet_name="MH & DC", header=11, dtype={"MH No": str})
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self.process_trench_excavation(df_tr_ex, subcontractor_id, RA_Bill_No)
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self.process_manhole_excavation(df_mh_ex, subcontractor_id, RA_Bill_No)
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self.process_manhole_domestic_chamber(df_mh_dc, subcontractor_id, RA_Bill_No)
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return True, "SUBCONTRACTOR File uploaded successfully."
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except Exception as e:
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db.session.rollback()
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return False, f"Import failed: {e}"
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# ---------------- Trench Excavation (Subcontractor) ----------------
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def process_trench_excavation(self, df, subcontractor_id, RA_Bill_No):
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df.columns = (
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df.columns.astype(str)
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.str.strip()
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.str.replace(r"[^\w]", "_", regex=True)
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.str.replace("__+", "_", regex=True)
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.str.strip("_")
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)
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df = df.dropna(how="all")
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if "Location" in df.columns:
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df["Location"] = df["Location"].ffill()
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errors = []
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for idx, row in df.iterrows():
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location = self.normalize(row.get("Location"))
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mh_no = self.normalize(row.get("MH_NO"))
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if not location or not mh_no:
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continue
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# exists = TrenchExcavation.query.filter_by(
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# subcontractor_id=subcontractor_id,
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# RA_Bill_No=RA_Bill_No,
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# Location=location,
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# MH_NO=mh_no,
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# ).first()
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# if exists:
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# errors.append(
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# f"Model-Tr.Ex. (Row {idx+1}): Duplicate → Location={location}, MH_NO={mh_no}"
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# )
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# continue
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record_data = {}
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for col in df.columns:
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if hasattr(TrenchExcavation, col):
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val = row[col]
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if pd.isna(val) or str(val).strip() in ["", "-", "—", "nan"]:
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val = None
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record_data[col] = val
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record = TrenchExcavation(
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subcontractor_id=subcontractor_id,
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RA_Bill_No=RA_Bill_No,
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**record_data,
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)
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db.session.add(record)
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if errors:
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raise Exception(" | ".join(errors))
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db.session.commit()
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# ---------------- Manhole Excavation (Subcontractor) ----------------
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def process_manhole_excavation(self, df, subcontractor_id, RA_Bill_No):
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df.columns = (
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df.columns.astype(str)
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.str.strip()
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.str.replace(r"[^\w]", "_", regex=True)
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.str.replace("__+", "_", regex=True)
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.str.strip("_")
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)
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df = df.dropna(how="all")
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if "Location" in df.columns:
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df["Location"] = df["Location"].ffill()
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errors = []
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for idx, row in df.iterrows():
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location = self.normalize(row.get("Location"))
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mh_no = self.normalize(row.get("MH_NO"))
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if not location or not mh_no:
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continue
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# exists = ManholeExcavation.query.filter_by(
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# subcontractor_id=subcontractor_id,
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# RA_Bill_No=RA_Bill_No,
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# Location=location,
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# MH_NO=mh_no,
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# ).first()
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# if exists:
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# errors.append(
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# f"Model-MH Ex. (Row {idx+1}): Duplicate → Location={location}, MH_NO={mh_no}"
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# )
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# continue
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record_data = {}
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for col in df.columns:
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if hasattr(ManholeExcavation, col):
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val = row[col]
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if pd.isna(val) or str(val).strip() in ["", "-", "—", "nan"]:
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val = None
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record_data[col] = val
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record = ManholeExcavation(
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subcontractor_id=subcontractor_id,
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RA_Bill_No=RA_Bill_No,
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**record_data,
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)
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db.session.add(record)
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if errors:
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raise Exception(" | ".join(errors))
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db.session.commit()
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# ---------------- Manhole & Domestic Chamber (Subcontractor) ----------------
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def process_manhole_domestic_chamber(self, df, subcontractor_id, RA_Bill_No):
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df.columns = (
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df.columns.astype(str)
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.str.strip()
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.str.replace(r"[^\w]", "_", regex=True)
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.str.replace("__+", "_", regex=True)
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.str.strip("_")
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)
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df = df.dropna(how="all")
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if "Location" in df.columns:
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df["Location"] = df["Location"].ffill()
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errors = []
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for idx, row in df.iterrows():
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location = self.normalize(row.get("Location"))
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mh_no = self.normalize(row.get("MH_NO"))
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if not location or not mh_no:
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continue
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# exists = ManholeDomesticChamber.query.filter_by(
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# subcontractor_id=subcontractor_id,
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# RA_Bill_No=RA_Bill_No,
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# Location=location,
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# MH_NO=mh_no,
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# ).first()
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# if exists:
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# errors.append(
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# f"Model-MH & DC (Row {idx+1}): Duplicate → Location={location}, MH_NO={mh_no}"
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# )
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# continue
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record_data = {}
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for col in df.columns:
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if hasattr(ManholeDomesticChamber, col):
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val = row[col]
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if pd.isna(val) or str(val).strip() in ["", "-", "—", "nan"]:
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val = None
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record_data[col] = val
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record = ManholeDomesticChamber(
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subcontractor_id=subcontractor_id,
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RA_Bill_No=RA_Bill_No,
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**record_data,
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)
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db.session.add(record)
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if errors:
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raise Exception(" | ".join(errors))
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db.session.commit()
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# ---------------- CLIENT FILE UPLOAD ----------------
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def handle_client_file_upload(self, file, RA_Bill_No):
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if not RA_Bill_No:
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return False, "Please Enter RA Bill No."
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if not file or file.filename == "":
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return False, "No file selected."
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if not self.allowed_file(file.filename):
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return False, "Invalid file type! Allowed: CSV, XLSX, XLS"
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ensure_upload_folder()
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folder = os.path.join(Config.UPLOAD_FOLDER, f"Client_Bill_{RA_Bill_No}")
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os.makedirs(folder, exist_ok=True)
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filename = secure_filename(file.filename)
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filepath = os.path.join(folder, filename)
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file.save(filepath)
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try:
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df_tr_ex = pd.read_excel(filepath, sheet_name="Tr.Ex.", header=4)
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df_mh_ex = pd.read_excel(filepath, sheet_name="MH Ex.", header=4)
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df_mh_dc = pd.read_excel(filepath, sheet_name="MH & DC", header=3)
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self.save_client_data(df_tr_ex, TrenchExcavationClient, RA_Bill_No)
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self.save_client_data(df_mh_ex, ManholeExcavationClient, RA_Bill_No)
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self.save_client_data(df_mh_dc, ManholeDomesticChamberClient, RA_Bill_No)
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db.session.commit()
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return True, "Client file uploaded successfully."
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except Exception as e:
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db.session.rollback()
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return False, f"Client import failed: {e}"
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# ---------------- CLIENT SAVE METHOD ----------------
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def save_client_data(self, df, model, RA_Bill_No):
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df.columns = [str(c).strip() for c in df.columns]
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if "Location" in df.columns:
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df["Location"] = df["Location"].ffill()
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df = df.dropna(how="all")
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for idx, row in df.iterrows():
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record_data = {}
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for col in df.columns:
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if hasattr(model, col):
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val = row[col]
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if pd.isna(val) or str(val).strip() in ["", "-", "—", "nan"]:
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val = None
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record_data[col] = val
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record = model(RA_Bill_No=RA_Bill_No, **record_data)
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db.session.add(record)
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