client models and report commit
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@@ -6,6 +6,8 @@ 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.utils.file_utils import ensure_upload_folder
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@@ -42,17 +44,25 @@ class FileService:
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print(df.head())
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print("=============================\n")
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# Trench Excavation save
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# Trench Excavation save (subcontractor)
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if file_type == "trench_excavation":
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return self.process_trench_excavation(df, subcontractor_id)
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# Manhole Excavation save
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# Manhole Excavation save (subcontractor)
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if file_type == "manhole_excavation":
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return self.process_manhole_excavation(df, subcontractor_id)
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# Manhole and Domestic Chamber Construction save
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# Manhole and Domestic Chamber Construction save (subcontractor)
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if file_type == "manhole_domestic_chamber":
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return self.process_manhole_domestic_chamber(df, subcontractor_id)
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# Trench Excavation save (client)
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if file_type =="tr_ex_client":
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return self.client_trench_excavation(df, subcontractor_id)
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# Manhole Excavation save (client)
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# if file_type =="mh_ex_client":
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# return self.client_manhole_excavation(df, subcontractor_id)
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return True, "File uploaded successfully."
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@@ -61,7 +71,7 @@ class FileService:
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return False, f"Processing failed: {e}"
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# ---------------------- Sub contractor --------------------------
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# Trench Excavation save method (TrenchExcavation model)
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def process_trench_excavation(self, df, subcontractor_id):
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df.columns = [str(c).strip() for c in df.columns]
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@@ -105,7 +115,7 @@ class FileService:
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db.session.rollback()
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return False, f"Trench Excavation Save Failed: {e}"
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# Manhole Excavation save method (ManholeExcavation model)
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def process_manhole_excavation(self, df, subcontractor_id):
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# Clean column names (strip whitespace)
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@@ -201,6 +211,94 @@ class FileService:
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# ---------------------- client ----------------------------------
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# Trench Excavation save method (TrenchExcavationClient model)
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def client_trench_excavation(self, df, subcontractor_id):
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df.columns = [str(c).strip() for c in df.columns]
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# If the sheet has merged cells -> forward fill Location
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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") # REMOVE empty rows
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# Identify missing location rows before insert
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missing_loc = df[df["Location"].isna() | (df["Location"].astype(str).str.strip() == "")]
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if not missing_loc.empty:
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return False, f"Error: Some rows have empty Location. Rows: {missing_loc.index.tolist()}"
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saved_count = 0
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try:
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for index, row in df.iterrows():
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record_data = {}
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# Insert only fields that exist in model
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for col in df.columns:
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if hasattr(TrenchExcavationClient, col):
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value = row[col]
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# Normalize empty values
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if pd.isna(value) or str(value).strip() in ["", "-", "—", "nan", "NaN"]:
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value = None
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record_data[col] = value
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record = TrenchExcavationClient(
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subcontractor_id=subcontractor_id,
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**record_data
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)
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db.session.add(record)
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saved_count += 1
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db.session.commit()
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return True, f"Clinnt Tr Ex data saved successfully. Total rows: {saved_count}"
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except Exception as e:
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db.session.rollback()
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return False, f"Clinnt Tr Ex Save Failed: {e}"
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# Manhole Excavation save method (ManholeExcavationClient model)
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# def client_manhole_excavation(self, df, subcontractor_id):
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# # Clean column names (strip whitespace)
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# df.columns = [str(c).strip() for c in df.columns]
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# # If the sheet has merged cells -> forward fill Location
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# if "Location" in df.columns:
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# df["Location"] = df["Location"].ffill()
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# # REMOVE empty rows
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# df = df.dropna(how="all")
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# # Identify missing location rows before insert
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# missing_loc = df[df["Location"].isna() | (df["Location"].astype(str).str.strip() == "")]
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# if not missing_loc.empty:
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# return False, f"Error: Some rows have empty Location. Rows: {missing_loc.index.tolist()}"
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# saved_count = 0
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# try:
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# for index, row in df.iterrows():
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# record_data = {}
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# # Insert only fields that exist in model
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# for col in df.columns:
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# if hasattr(ManholeExcavationClient, col):
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# value = row[col]
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# # Normalize empty values
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# if pd.isna(value) or str(value).strip() in ["", "-", "—", "nan", "NaN"]:
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# value = None
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# record_data[col] = value
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# record = ManholeExcavationClient(
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# subcontractor_id=subcontractor_id,
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# **record_data
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# )
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# db.session.add(record)
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# saved_count += 1
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# db.session.commit()
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# return True, f" Client Mh Ex. data saved successfully. Total rows: {saved_count}"
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# except Exception as e:
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# db.session.rollback()
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# return False, f"Client Mh Ex. Save Failed: {e}"
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