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genrate report of TrEx, MhEx, MhDc model commit

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pjpatil12
2025-12-15 00:15:34 +05:30
parent 14eac5b958
commit a0edb173cb
6 changed files with 164 additions and 71 deletions
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app/models/__pycache__/manhole_domestic_chamber_model.cpython-313.pyc
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app/models/__pycache__/mh_dc_client_model.cpython-313.pyc
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app/models/manhole_domestic_chamber_model.py
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@@ -17,7 +17,7 @@ class ManholeDomesticChamber(db.Model):
# Excavation categories # Excavation categories
d_0_to_0_75 = db.Column(db.Float) d_0_to_0_75 = db.Column(db.Float)
d_1_06_to_1_65 = db.Column(db.Float) d_0_76_to_1_05 = db.Column(db.Float)
d_1_06_to_1_65 = db.Column(db.Float) d_1_06_to_1_65 = db.Column(db.Float)
d_1_66_to_2_15 = db.Column(db.Float) d_1_66_to_2_15 = db.Column(db.Float)
d_2_16_to_2_65 = db.Column(db.Float) d_2_16_to_2_65 = db.Column(db.Float)

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app/routes/__pycache__/generate_comparison_report.cpython-313.pyc
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app/routes/generate_comparison_report.py
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@@ -5,6 +5,8 @@ from app.models.trench_excavation_model import TrenchExcavation
from app.models.tr_ex_client_model import TrenchExcavationClient from app.models.tr_ex_client_model import TrenchExcavationClient
from app.models.manhole_excavation_model import ManholeExcavation from app.models.manhole_excavation_model import ManholeExcavation
from app.models.mh_ex_client_model import ManholeExcavationClient from app.models.mh_ex_client_model import ManholeExcavationClient
from app.models.manhole_domestic_chamber_model import ManholeDomesticChamber
from app.models.mh_dc_client_model import ManholeDomesticChamberClient
from app import db from app import db
@@ -30,7 +32,7 @@ def comparison_report():
) )
subcontractor = Subcontractor.query.get_or_404(subcontractor_id) subcontractor = Subcontractor.query.get_or_404(subcontractor_id)
# --------------------------- Tr.Ex model -----------------------------
contractor_tr_ex = TrenchExcavation.query.filter_by( contractor_tr_ex = TrenchExcavation.query.filter_by(
subcontractor_id=subcontractor_id subcontractor_id=subcontractor_id
).all() ).all()
@@ -111,91 +113,179 @@ def comparison_report():
f"Client={client_total} | Sub={contractor_total} | Diff={diff}" f"Client={client_total} | Sub={contractor_total} | Diff={diff}"
) )
# -------- Tr.Ex model ----------
df_tr_ex = pd.DataFrame(combined_rows_tr_ex) df_tr_ex = pd.DataFrame(combined_rows_tr_ex)
# manhole ex # --------------------------- Mh.Ex model -----------------------------
# contractor_mh_ex = ManholeExcavation.query.filter_by( contractor_mh_ex = ManholeExcavation.query.filter_by(
# subcontractor_id=subcontractor_id subcontractor_id=subcontractor_id
# ).all() ).all()
# client_mh_ex = ManholeExcavationClient.query.filter_by( client_mh_ex = ManholeExcavationClient.query.filter_by(
# subcontractor_id=subcontractor_id subcontractor_id=subcontractor_id
# ).all() ).all()
# combined_rows_mh_ex = [] combined_rows_mh_ex = []
# for row1, row2 in zip(client_mh_ex, contractor_mh_ex): for row1, row2 in zip(client_mh_ex, contractor_mh_ex):
# # -------- Tr.Ex CLIENT TOTAL ---------- # -------- Tr.Ex CLIENT TOTAL ----------
# client_total = ( client_total = (
# (row1.Marshi_Muddy_Slushy_0_to_1_5_total or 0) + (row1.Marshi_Muddy_Slushy_0_to_1_5_total or 0) +
# (row1.Marshi_Muddy_Slushy_1_5_to_3_0_total or 0) + (row1.Marshi_Muddy_Slushy_1_5_to_3_0_total or 0) +
# (row1.Marshi_Muddy_Slushy_3_0_to_4_5_total or 0) + (row1.Marshi_Muddy_Slushy_3_0_to_4_5_total or 0) +
# (row1.Soft_Murum_0_to_1_5_total or 0) + (row1.Soft_Murum_0_to_1_5_total or 0) +
# (row1.Soft_Murum_1_5_to_3_0_total or 0) + (row1.Soft_Murum_1_5_to_3_0_total or 0) +
# (row1.Soft_Murum_3_0_to_4_5_total or 0) + (row1.Soft_Murum_3_0_to_4_5_total or 0) +
# (row1.Hard_Murum_0_to_1_5_total or 0) + (row1.Hard_Murum_0_to_1_5_total or 0) +
# (row1.Hard_Murum_1_5_to_3_0_total or 0) + (row1.Hard_Murum_1_5_to_3_0_total or 0) +
# (row1.Hard_Murum_3_0_to_4_5_total or 0) + (row1.Hard_Murum_3_0_to_4_5_total or 0) +
# (row1.Soft_Rock_0_to_1_5_total or 0) + (row1.Soft_Rock_0_to_1_5_total or 0) +
# (row1.Soft_Rock_1_5_to_3_0_total or 0) + (row1.Soft_Rock_1_5_to_3_0_total or 0) +
# (row1.Soft_Rock_3_0_to_4_5_total or 0) + (row1.Soft_Rock_3_0_to_4_5_total or 0) +
# (row1.Hard_Rock_0_to_1_5_total or 0) + (row1.Hard_Rock_0_to_1_5_total or 0) +
# (row1.Hard_Rock_1_5_to_3_0_total or 0) + (row1.Hard_Rock_1_5_to_3_0_total or 0) +
# (row1.Hard_Rock_3_0_to_4_5_total or 0) + (row1.Hard_Rock_3_0_to_4_5_total or 0) +
# (row1.Hard_Rock_4_5_to_6_0_total or 0) + (row1.Hard_Rock_4_5_to_6_0_total or 0) +
# (row1.Hard_Rock_6_0_to_7_5_total or 0) (row1.Hard_Rock_6_0_to_7_5_total or 0)
# )
)
# # -------- SUBCONTRACTOR TOTAL ---------- # -------- SUBCONTRACTOR TOTAL ----------
# contractor_total = ( contractor_total = (
# (row2.Soft_Murum_0_to_1_5_total or 0) + (row2.Soft_Murum_0_to_1_5_total or 0) +
# (row2.Soft_Murum_1_5_to_3_0_total or 0) + (row2.Soft_Murum_1_5_to_3_0_total or 0) +
# (row2.Soft_Murum_3_0_to_4_5_total or 0) + (row2.Soft_Murum_3_0_to_4_5_total or 0) +
# (row2.Hard_Murum_0_to_1_5_total or 0) + (row2.Hard_Murum_0_to_1_5_total or 0) +
# (row2.Hard_Murum_1_5_and_above_total or 0) + (row2.Hard_Murum_1_5_and_above_total or 0) +
# (row2.Soft_Rock_0_to_1_5_total or 0) + (row2.Soft_Rock_0_to_1_5_total or 0) +
# (row2.Soft_Rock_1_5_and_above_total or 0) + (row2.Soft_Rock_1_5_and_above_total or 0) +
# (row2.Hard_Rock_0_to_1_5_total or 0) + (row2.Hard_Rock_0_to_1_5_total or 0) +
# (row2.Hard_Rock_1_5_and_above_total or 0) + (row2.Hard_Rock_1_5_and_above_total or 0) +
# (row2.Hard_Rock_4_5_to_6_0_total or 0) + (row2.Hard_Rock_3_0_to_4_5_total or 0) +
# (row2.Hard_Rock_6_0_to_7_5_total or 0) (row2.Hard_Rock_4_5_to_6_0_total or 0) +
# ) (row2.Hard_Rock_6_0_to_7_5_total or 0)
)
# diff = client_total - contractor_total diff = client_total - contractor_total
# # -------- COMBINED ROW ---------- # -------- COMBINED ROW ----------
# row_data = { row_data = {
# "Location": row1.Location, "Location": row1.Location,
# "MH No": row1.MH_NO, "MH No": row1.MH_NO,
# } }
# # Client columns # Client columns
# for col, val in row1.__dict__.items(): for col, val in row1.__dict__.items():
# if col.startswith("_") or col in ["id", "created_at", "subcontractor_id"]: if col.startswith("_") or col in ["id", "created_at", "subcontractor_id"]:
# continue continue
# row_data[f"Client_{col}"] = val row_data[f"Client_{col}"] = val
# row_data["Client_Total"] = round(client_total, 2) row_data["Client_Total"] = round(client_total, 2)
# # Subcontractor columns # Subcontractor columns
# for col, val in row2.__dict__.items(): for col, val in row2.__dict__.items():
# if col.startswith("_") or col in ["id", "created_at", "subcontractor_id"]: if col.startswith("_") or col in ["id", "created_at", "subcontractor_id"]:
# continue continue
# row_data[f"Sub_{col}"] = val row_data[f"Sub_{col}"] = val
# row_data["Sub_Total"] = round(contractor_total, 2) row_data["Sub_Total"] = round(contractor_total, 2)
# row_data["Diff"] = round(diff, 2) row_data["Diff"] = round(diff, 2)
# combined_rows_tr_ex.append(row_data) combined_rows_mh_ex.append(row_data)
# # Console log # Console log
# print( print(
# f"{row1.Location} | {row1.MH_NO} | " f"{row1.Location} | {row1.MH_NO} | "
# f"Client={client_total} | Sub={contractor_total} | Diff={diff}" f"Client={client_total} | Sub={contractor_total} | Diff={diff}"
# ) )
df_mh_ex = pd.DataFrame(combined_rows_mh_ex)
# ---------------------------- MH dC Model --------------------------
contractor_mh_dc = ManholeDomesticChamber.query.filter_by(
subcontractor_id=subcontractor_id
).all()
client_mh_dc = ManholeDomesticChamberClient.query.filter_by(
subcontractor_id=subcontractor_id
).all()
combined_rows_mh_dc = []
for row1, row2 in zip(client_mh_dc, contractor_mh_dc):
client_total = (
(row1.d_0_to_1_5 or 0) +
(row1.d_1_5_to_2_0 or 0) +
(row1.d_2_0_to_2_5 or 0) +
(row1.d_2_5_to_3_0 or 0) +
(row1.d_3_0_to_3_5 or 0) +
(row1.d_3_5_to_4_0 or 0) +
(row1.d_4_0_to_4_5 or 0) +
(row1.d_4_5_to_5_0 or 0) +
(row1.d_5_0_to_5_5 or 0) +
(row1.d_5_5_to_6_0 or 0) +
(row1.d_6_0_to_6_5 or 0) +
(row1.Domestic_Chambers or 0)
)
contractor_total = (
(row2.d_0_to_0_75 or 0) +
(row2.d_0_76_to_1_05 or 0) +
(row2.d_1_06_to_1_65 or 0) +
(row2.d_1_66_to_2_15 or 0) +
(row2.d_2_16_to_2_65 or 0) +
(row2.d_2_66_to_3_15 or 0) +
(row2.d_3_16_to_3_65 or 0) +
(row2.d_3_66_to_4_15 or 0) +
(row2.d_4_16_to_4_65 or 0) +
(row2.d_4_66_to_5_15 or 0) +
(row2.d_5_16_to_5_65 or 0) +
(row2.d_5_66_to_6_15 or 0) +
(row2.d_6_16_to_6_65 or 0) +
(row2.d_6_66_to_7_15 or 0) +
(row2.d_7_16_to_7_65 or 0) +
(row2.d_7_66_to_8_15 or 0) +
(row2.d_8_16_to_8_65 or 0) +
(row2.d_8_66_to_9_15 or 0) +
(row2.d_9_16_to_9_65 or 0) +
(row2.Domestic_Chambers or 0)
)
diff = client_total - contractor_total
# -------- COMBINED ROW ----------
row_data = {
"Location": row1.Location,
"Node No": row1.Node_No,
}
# Client columns
for col, val in row1.__dict__.items():
if col.startswith("_") or col in ["id", "created_at", "subcontractor_id"]:
continue
row_data[f"Client_{col}"] = val
row_data["Client_Total"] = round(client_total, 2)
# Subcontractor columns
for col, val in row2.__dict__.items():
if col.startswith("_") or col in ["id", "created_at", "subcontractor_id"]:
continue
row_data[f"Sub_{col}"] = val
row_data["Sub_Total"] = round(contractor_total, 2)
row_data["Diff"] = round(diff, 2)
combined_rows_mh_dc.append(row_data)
# Console log
print(
f"{row1.Location} | {row1.Node_No} | "
f"Client={client_total} | Sub={contractor_total} | Diff={diff}"
)
df_mh_dc = pd.DataFrame(combined_rows_mh_dc)
@@ -204,6 +294,9 @@ def comparison_report():
with pd.ExcelWriter(output, engine="xlsxwriter") as writer: with pd.ExcelWriter(output, engine="xlsxwriter") as writer:
df_tr_ex.to_excel(writer, index=False, sheet_name="Tr.Ex") df_tr_ex.to_excel(writer, index=False, sheet_name="Tr.Ex")
df_mh_ex.to_excel(writer,index=False,sheet_name="Mh.Ex")
df_mh_dc.to_excel(writer,index=False,sheet_name="MH & DC")
output.seek(0) output.seek(0)

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app/services/__pycache__/file_service.cpython-313.pyc
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