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kmftools/delfland/ppo-insight/ppo_insight.py

163 lines
5.1 KiB

import os
import io
from datetime import datetime
import pandas as pd
from dotenv import load_dotenv
from flask import Flask, request, render_template, redirect, url_for, flash, Response
from werkzeug.utils import secure_filename
from database import get_db_connection
env_path = "./.env"
load_dotenv(env_path)
UPLOAD_FOLDER = os.getenv("UPLOAD_FOLDER")
ALLOWED_EXTENSIONS = {"xlsx"}
app = Flask(__name__)
app.config["UPLOAD_FOLDER"] = UPLOAD_FOLDER
app.secret_key = "9f2a1d3e4c5b6a7d8e9f0a1b2c3d4e5f"
def allowed_file(filename):
return "." in filename and filename.rsplit(".", 1)[1].lower() in ALLOWED_EXTENSIONS
@app.route("/", methods=["GET", "POST"])
def upload_file():
if request.method == "POST":
if "file" not in request.files:
flash("Geen bestand geselecteerd", "danger")
return redirect(request.url)
file = request.files["file"]
if file.filename == "":
flash("Geen bestand geselecteerd", "danger")
return redirect(request.url)
if file and allowed_file(file.filename):
filename = secure_filename(file.filename)
filepath = os.path.join(app.config["UPLOAD_FOLDER"], filename)
file.save(filepath)
process_excel(filepath)
flash(
"Bestand geüpload en verwerkt! <a href='" +
url_for("show_result") + "'>Bekijk de resultaten</a>",
"success",
)
return redirect(url_for("upload_file"))
return render_template("index.html")
@app.route("/extrapolate", methods=["GET", "POST"])
def show_result():
x_str = request.form.get("selected_date")
print(x_str)
try:
if x_str is not None:
x = datetime.strptime(x_str, "%Y-%m-%d")
else:
# Handle the case where x_str is None, for example:
x = None # or raise an exception or use a default date
flash("Ongeldige datum ingevoerd.", "danger")
except ValueError:
flash("Ongeldige datum ingevoerd.", "danger")
return redirect(url_for("upload_file"))
result = getextrapolation(x)
return render_template("resultaat.html", result=result, selected_date=x_str)
@app.route("/download", methods=["GET"])
def download_excel():
x_str = request.args.get("x")
x = datetime.strptime(x_str, "%Y-%m-%d")
result = getextrapolation(x)
df = pd.DataFrame(result)
output = io.BytesIO()
with pd.ExcelWriter(output, engine="openpyxl") as writer:
df.to_excel(writer, index=False,
sheet_name=f"Extrapolatie_{x.strftime('%Y-%m-%d')}")
output.seek(0)
filename = f"extrapolatie_{x.strftime('%Y-%m-%d')}.xlsx"
return Response(
output,
mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
headers={"Content-Disposition": f"attachment; filename={filename}"},
)
def extrapolate_vervaldatum(vervaldatum, uom, frequentie, x):
if vervaldatum is None or pd.isna(vervaldatum):
print("Ongeldige vervaldatum:", vervaldatum)
return [] # Geef een lege lijst terug in plaats van een fout te veroorzaken
vervaldatum = pd.to_datetime(str(vervaldatum), errors="coerce")
if pd.isna(vervaldatum): # Extra controle als de conversie mislukt
print("Kon datum niet omzetten:", vervaldatum)
return []
result = []
while vervaldatum <= x:
result.append(vervaldatum.strftime("%Y-%m-%d"))
if uom == "D":
vervaldatum += pd.DateOffset(days=frequentie)
elif uom == "W":
vervaldatum += pd.DateOffset(weeks=frequentie)
elif uom == "M":
vervaldatum += pd.DateOffset(months=frequentie)
elif uom == "Y":
vervaldatum += pd.DateOffset(years=frequentie)
else:
print("Onbekende eenheid:", uom)
break # Voorkom oneindige lus bij een onbekende eenheid
return result
def getextrapolation(x):
if x is None:
print("Geen geldige datum opgegeven voor extrapolatie.")
return []
conn, cursor = get_db_connection()
cursor.execute("""
SELECT Object_code, Object_omschrijving, Afdeling_object, PO_Code, Omschrijving_PO, Vervaldatum, Frequentie, UOM,
PO_schema_Niet_gebruikt, Cluster, Locatie, Locatie_omschrijving, Klasse_object, Categorie
FROM onderhoud
""")
columns = [desc[0] for desc in cursor.description]
rows = cursor.fetchall()
cursor.close()
conn.close()
raw_data = [dict(zip(columns, row)) for row in rows]
result = []
for row in raw_data:
vervaldatum = row.get("Vervaldatum")
uom = row.get("UOM")
frequentie = row.get("Frequentie", 0)
if vervaldatum:
extrapolated_dates = extrapolate_vervaldatum(
vervaldatum, uom, frequentie, x)
for date in extrapolated_dates:
new_row = row.copy()
new_row["Vervaldatum"] = date
result.append(new_row)
return result
if __name__ == "__main__":
os.makedirs(UPLOAD_FOLDER, exist_ok=True)
app.run(debug=True)