Báskay János
4 years ago
commit
483fbb002c
26 changed files with 675 additions and 0 deletions
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ARG pyversion=3.9 |
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FROM python:${pyversion}-bullseye |
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ARG pyversion=3.9 |
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ENV PYVERSION ${pyversion:-3.9} |
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|
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# Install packages |
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RUN apt-get -yqq update && \ |
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apt-get -yqq install apache2 apache2-dev locales libapache2-mod-wsgi-py3 && \ |
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apt-get clean |
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|
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# Install locale |
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COPY ./locale.gen /etc/locale.gen |
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RUN locale-gen |
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|
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COPY gerincmet/prog_calc /var/www/html/gerincmet/prog_calc |
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|
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RUN chown -R www-data:www-data /var/www/ |
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RUN chmod -R 755 /var/www/ |
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|
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USER www-data |
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|
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# Prepare virtualenv |
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WORKDIR /var/www/html/gerincmet/prog_calc/prog_calc/ |
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COPY ./requirements.txt . |
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RUN python3 -m venv ./venv |
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RUN . ./venv/bin/activate |
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RUN ./venv/bin/pip install --upgrade pip setuptools |
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RUN ./venv/bin/pip install -r ./requirements.txt |
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|
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# Configure Apache |
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USER root |
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COPY ./start-apache.sh / |
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RUN a2dismod mpm_event && a2enmod mpm_prefork |
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COPY ./prog-calc.conf /etc/apache2/sites-available/000-default.conf |
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|
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# Start Apache |
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EXPOSE 80 |
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CMD ["/bin/sh", "/start-apache.sh"] |
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|
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#!/var/www/html/gerincmet/prog_calc/prog_calc/venv/bin/python |
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import sys |
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import logging |
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import os |
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|
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APP_HOME = "/var/www/html/gerincmet/prog_calc/prog_calc/" |
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sys.path.insert(0,"/var/www/html/gerincmet/prog_calc/prog_calc/venv/lib/python3.9/site-packages") |
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|
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logging.basicConfig(stream=sys.stderr) |
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sys.path.insert(0,APP_HOME) |
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os.chdir(APP_HOME) |
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|
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from main import app as application |
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import pandas as pd |
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import numpy as np |
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import matplotlib.pyplot as plt |
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import lifelines as lf |
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import pickle |
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import io |
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import base64 |
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|
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|
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def get_timeline_loc(timeline, val, dur): |
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typestr = f"timedelta64[{dur}]" |
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res = timeline[np.equal(timeline.astype('timedelta64[D]').astype(typestr), np.array(val).astype(typestr))] |
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if len(res) > 0: |
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res = res[0] |
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else: |
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res = np.NaN |
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return res |
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|
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def get_risk(cox, X, val, dur): |
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timeline = cox.predict_survival_function(X).index.to_numpy() |
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l = get_timeline_loc(timeline, val, dur) |
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risk = 1 - cox.predict_survival_function(X)[0][l] |
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return risk |
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|
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|
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def cox_model(primer_tumor_score, age_score, mobility_score, metastasis_score, protein_score): |
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# Predict for this |
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score = primer_tumor_score + age_score + mobility_score + metastasis_score + protein_score |
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if 0 <= score <= 17: |
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nmstpc_category = 1 |
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elif 18 <= score <= 24: |
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nmstpc_category = 2 |
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elif 25 <= score <= 39: |
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nmstpc_category = 3 |
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X = {"primer_tumor": np.array([primer_tumor_score]), |
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"age": np.array([age_score]), |
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"mobility": np.array([mobility_score]), |
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"metastasis": np.array([metastasis_score]), |
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"protein": np.array([protein_score]), |
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"categories": np.array([nmstpc_category])} |
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X = pd.DataFrame(X) |
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# Model is built from this: |
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|
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# Get KM-curve for population |
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label = "population" |
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km_in = open("km_model.pickle","rb") |
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km = pickle.load(km_in) |
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km_in.close() |
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fig, ax = plt.subplots() |
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fig.set_figheight(4) |
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fig.set_figwidth(8) |
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ax.plot(1 - km.survival_function_, color='b', label="Populáció") |
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ax.fill_between(km.timeline, 1 - km.confidence_interval_[f"{label}_lower_0.95"], |
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1 - km.confidence_interval_[f"{label}_upper_0.95"], color='b', alpha=.1) |
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|
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# Fit Cox-modell |
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cox_in = open("cox_model.pickle","rb") |
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cox = pickle.load(cox_in) |
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cox_in.close() |
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ax.plot(1 - cox.predict_survival_function(X)[0], color="r", label="Jelenlegi beteg") |
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ax.set_xlabel("Halál ideje (napokban)") |
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ax.set_ylabel("Halál kockázata") |
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ax.legend(loc="lower right") |
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ax.grid() |
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fig.show() |
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buf = io.BytesIO() |
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fig.savefig(buf,format = "png") |
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encoded_img = base64.b64encode(buf.getvalue()) |
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|
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# Recover risk of death for certain times |
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vals = [1, 3, 6, 1, 2, 4, 8] |
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durs = ["M", "M", "M", "Y", "Y", "Y", "Y"] |
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risks = [] |
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for val, dur in zip(vals, durs): |
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risks.append(round(get_risk(cox, X, val, dur) * 100, 1)) |
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return risks,encoded_img |
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from flask_wtf import FlaskForm |
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from wtforms import SelectField,SubmitField |
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from wtforms.validators import DataRequired |
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|
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class Prognosis_Form(FlaskForm): |
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# Prognostic Factors |
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# Primer tumor |
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primer_tumor_types = [ |
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(1, "Hematológiai malginitás"), |
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(2, "Pajzsmirigy carcinoma"), |
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(3, "Emlő daganat"), |
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(4, "Prostata daganat"), |
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(5, "Angiosarcoma"), |
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(6, "Chondrosarcoma"), |
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(7, "Osteosarcoma"), |
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(8, "Ewing-sarcoma"), |
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(9, "Húgyhólyag"), |
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(10, "Colorectalis"), |
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(11, "Garat"), |
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(12, "Vese"), |
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(13, "Máj"), |
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(14, "Melanoma"), |
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(15, "Ovarium"), |
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(16, "Uterus"), |
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(17, "Parotis"), |
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(18, "Gyomor"), |
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(19, "Ismeretlen primer tumor"), |
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(20, "Méhnyak"), |
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(21, "Nyelőcső"), |
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(22, "Gége"), |
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(23, "Tüdő"), |
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(24, "Hasnyálmirigy"), |
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(25, "Orrmelléküreg eredet")] |
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primer_tumor = SelectField(f"Primer tumor típusa", choices = primer_tumor_types, validators = [DataRequired()]) |
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|
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# Age |
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age_class = [ |
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(0,"40 év alatt"), |
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(8,"40 év felett")] |
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age = SelectField(f"Életkor", choices = age_class, validators = [DataRequired()]) |
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|
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# Status |
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status_calss = [ |
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(0, "Járóképes"), |
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(5, "Ágyhoz kötött (járásképtelen)")] |
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status = SelectField(f"Ambulátoros státusz", choices = status_calss, validators = [DataRequired()]) |
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|
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# Metastasis |
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has_metastasis = [ |
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(0, "Nincs"), |
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(4, "Van")] |
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metastasis = SelectField(f"Belszervi áttétek jelenléte", choices = has_metastasis, validators = [DataRequired()]) |
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|
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# Protein levels |
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protein_class = [ |
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(0, "Normál tartomány (>6,5 g/dl)"), |
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(3, "Hypoproteinaemia (<6,5 g/dl)")] |
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protein_levels = SelectField(f"Szérum fehérje szint", choices = protein_class, validators = [DataRequired()]) |
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|
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#------------- |
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# SINS factors |
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# Localization |
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localization_class = [ |
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(3, "Junctionális (occiput-CII, CVII-ThII, ThII-LI, LV-SI)"), |
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(2, "Mobilis gerincszakasz (CIII-VI, LII-IV)"), |
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(1, "Semirigid gerincszakasz (ThIII-X)"), |
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(0, "Rigid (SII-V)")] |
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localization = SelectField(f"Lokalizáció", choices = localization_class, validators = [DataRequired()]) |
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|
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# Pain |
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has_pain = [ |
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(3, "Van"), |
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(2, "Időszakosan"), |
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(0, "Nincs")] |
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pain = SelectField(f"Fájdalom", choices = has_pain, validators = [DataRequired()]) |
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|
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# Bone lesion |
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bone_lesion_class = [ |
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(2, "Osteolyticus"), |
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(1, "Kevert"), |
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(0, "Osteoblasticus")] |
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bone_lesion = SelectField(f"Csontlézió típusa", choices=bone_lesion_class, validators=[DataRequired()]) |
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|
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# Spinal stability |
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stability_class = [ |
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(4, "Subluxatio/luxatio"), |
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(2, "De novo kialakult deformitás (kyphosis, scoliosis)"), |
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(0, "Normál")] |
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stability = SelectField(f"Gerincstabilitás", choices=stability_class, validators=[DataRequired()]) |
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|
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# Compression |
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compression_class = [ |
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(3, ">50% komprimált"), |
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(2, "<50% komprimált"), |
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(1, "Nincs kompresszió a csigolyatest 50%-os involváltság mellett"), |
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(0, "A fentiek közül egyik sem")] |
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compression = SelectField(f"Csigolyatest kompresszió mértéke", choices=compression_class, validators=[DataRequired()]) |
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# Involvement |
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involvement_class = [ |
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(3, "Bilateralis"), |
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(2, "Unilateralis"), |
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(1, "A fentiek közül egyik sem")] |
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involvement = SelectField(f"A spinalis elemek postero-lateralis érintettsége", choices=involvement_class, validators=[DataRequired()]) |
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|
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#------- |
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# Result |
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submit = SubmitField("Eredmény") |
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from flask import Flask, render_template |
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from form import Prognosis_Form |
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from cox import cox_model |
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from tumor_type_to_score import type_to_score |
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app = Flask(__name__) |
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app.config["SECRET_KEY"] = "S(JK5Re,7*7Rbm#A" |
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@app.route("/",methods = ["GET","POST"]) |
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def index(): |
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form = Prognosis_Form() |
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if form.validate_on_submit(): |
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tumor_score = type_to_score(int(form.primer_tumor.data)) |
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risks,encoded_img = cox_model(tumor_score , int(form.age.data) , int(form.status.data) , int(form.metastasis.data) , int(form.protein_levels.data)) |
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nmstpc_score = tumor_score + int(form.age.data) + int(form.status.data) + int(form.metastasis.data) + int(form.protein_levels.data) |
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sins_score = int(form.localization.data) + int(form.pain.data) + int(form.bone_lesion.data) + int(form.stability.data) + int(form.compression.data) + int(form.involvement.data) |
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return render_template("prognosis_block.html",nmstpc_score = nmstpc_score,sins_score=sins_score,m1r=risks[0],m3r=risks[1],m6r=risks[2],y1r=risks[3],y2r=risks[4],y4r=risks[5],y8r=risks[6],form=form, tumor_score=tumor_score,encoded_img = encoded_img.decode('utf-8')) |
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return render_template("form.html",form=form,tumor_score = None) |
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@app.route("/contact_us") |
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def contact_us(): |
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return render_template("contact_us.html") |
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if __name__ == "__main__": |
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app.run() |
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|
After Width: | Height: | Size: 34 KiB |
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After Width: | Height: | Size: 18 KiB |
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After Width: | Height: | Size: 13 KiB |
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After Width: | Height: | Size: 41 KiB |
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After Width: | Height: | Size: 110 KiB |
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body { |
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margin: 0; |
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padding: 0; |
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font-family: Calibri, Candara, Segoe, "Segoe UI", Optima, Arial, sans-serif; |
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color: #808080; |
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} |
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/* |
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* Formatting the header area |
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*/ |
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header { |
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padding: 10px 0px 100px 0px; |
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background-color: #ffffff; |
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height: 35px; |
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width: 1200px; |
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opacity: .9; |
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margin: 0 auto; |
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border-style: hidden hidden hidden hidden; |
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-webkit-border-radius: 6px; |
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-moz-border-radius: 6px; |
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border-radius: 6px; |
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} |
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header div.container { |
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width: 1200px; |
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margin-top: 10px; |
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} |
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|
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header img.head { |
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position: absolute; |
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z-index: -5; |
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} |
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header h1.logo { |
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margin-top: 65px; |
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margin-left: 175px; |
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font-family: 'neos', Arial, Verdana, Helvetica; |
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font-size: 1.6em; |
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text-transform: uppercase; |
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float: left; |
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} |
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|
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/* |
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* Centering the body content #F0801A |
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*/ |
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.container { |
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width: 1200px; |
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margin: 0 auto; |
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} |
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div.home { |
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padding: 10px 10px 10px 10px; |
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background-color: #ffffff; |
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-webkit-border-radius: 6px; |
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-moz-border-radius: 6px; |
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border-radius: 6px; |
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} |
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|
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.result_image { |
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display: block; |
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margin-left: auto; |
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margin-right: auto; |
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width: 70%; |
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-webkit-border-radius: 6px; |
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-moz-border-radius: 6px; |
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border-radius: 6px; |
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} |
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|
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.emk_logo { |
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-webkit-border-radius: 6px; |
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-moz-border-radius: 6px; |
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border-radius: 6px; |
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} |
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|
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hr { |
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border: 1px solid #808080; |
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border-radius: 0px; |
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} |
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div.about { |
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padding: 10px 10px 10px 10px; |
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background-color: #808080; |
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color: white; |
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-webkit-border-radius: 6px; |
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-moz-border-radius: 6px; |
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border-radius: 6px; |
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} |
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|
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h2 { |
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font-size: 1.7em; |
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margin-top: 10px; |
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margin-bottom: 10px; |
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text-align: left; |
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letter-spacing: -2px; |
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color: #F0801A; |
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} |
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h3 { |
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font-size: 1.5em; |
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font-weight: 100; |
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margin-top: 0px; |
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margin-bottom: 0px; |
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text-align: left; |
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letter-spacing: -1px; |
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color: #3873BA; |
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} |
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h3.about { |
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color: white; |
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} |
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|
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.menu { |
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float: right; |
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margin-top: -105px; |
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margin-right: 0px; |
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} |
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.menu li { |
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display: inline; |
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} |
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.menu li + li { |
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margin-left: 10px; |
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} |
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.menu li a { |
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color: #3873BA; |
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background-color: transparent; |
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text-decoration: none; |
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} |
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.menu li a:visited { |
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color: #3873BA; |
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background-color: transparent; |
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text-decoration: none; |
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} |
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.menu li a:hover { |
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color: #F0801A; |
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background-color: transparent; |
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text-decoration: none; |
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} |
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.menu li a:active { |
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color: #F0801A; |
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background-color: transparent; |
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text-decoration: none; |
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} |
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{% extends "main.html" %} |
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|
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{% block content %} |
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<div class="container"><div class="home"> |
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<p>A weboldallal kapcsolatos problémákat a <a href="mailto:baskayj@student.elte.hu">baskayj@student.elte.hu</a> címen jelezzék.</p> |
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</div></div> |
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{% endblock %} |
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{% extends "main.html" %} |
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|
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{% block content %} |
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<div class="container"><div class="home"> |
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<form action="" method="post" novalidate> |
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|
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{{ form.hidden_tag() }} |
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<p> |
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<h3>Prognosztikai faktorok</h3> |
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{{ form.primer_tumor.label }}{% if not tumor_score == None %}: <b style="color:red">{{ tumor_score }} pont</b>{% endif %}<br> |
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{{ form.primer_tumor() }} |
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</p> |
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<p> |
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{{ form.age.label }}{% if not form.age.data == None %}: <b style="color:red">{{ form.age.data }} pont</b>{% endif %}<br> |
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{{ form.age() }} |
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</p> |
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<p> |
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{{ form.status.label }}{% if not form.status.data == None %}: <b style="color:red">{{ form.status.data }} pont</b>{% endif %}<br> |
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{{ form.status() }} |
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</p> |
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<p> |
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{{ form.metastasis.label }}{% if not form.metastasis.data == None %}: <b style="color:red">{{ form.metastasis.data }} pont</b>{% endif %}<br> |
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{{ form.metastasis() }} |
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</p> |
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<p> |
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{{ form.protein_levels.label }}{% if not form.protein_levels.data == None %}: <b style="color:red">{{ form.protein_levels.data }} pont</b>{% endif %}<br> |
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{{ form.protein_levels() }} |
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</p> |
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<p> |
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<h3>SINS (Spinal Instability Neoplastic Score)<sup>1</sup></h3> |
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{{ form.localization.label }}{% if not form.localization.data == None %}: <b style="color:red">{{ form.localization.data }} pont</b>{% endif %}<br> |
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{{ form.localization() }} |
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</p> |
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<p> |
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{{ form.pain.label }}{% if not form.pain.data == None %}: <b style="color:red">{{ form.pain.data }} pont</b>{% endif %}<br> |
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{{ form.pain() }} |
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</p> |
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<p> |
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{{ form.bone_lesion.label }}{% if not form.bone_lesion.data == None %}: <b style="color:red">{{ form.bone_lesion.data }} pont</b>{% endif %}<br> |
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{{ form.bone_lesion() }} |
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</p> |
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<p> |
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{{ form.stability.label }}{% if not form.stability.data == None %}: <b style="color:red">{{ form.stability.data }} pont</b>{% endif %}<br> |
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{{ form.stability() }} |
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</p> |
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<p> |
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{{ form.compression.label }}{% if not form.compression.data == None %}: <b style="color:red">{{ form.compression.data }} pont</b>{% endif %}<br> |
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{{ form.compression() }} |
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</p> |
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<p> |
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{{ form.involvement.label }}{% if not form.involvement.data == None %}: <b style="color:red">{{ form.involvement.data }} pont</b>{% endif %}<br> |
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{{ form.involvement() }} |
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</p> |
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<p> |
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{{ form.submit() }} |
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</p> |
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</form> |
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</div> |
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{% block results %}{% endblock %} |
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{% endblock %} |
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@ -0,0 +1,46 @@ |
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<!doctpye html> |
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<html lang="hu"> |
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<head> |
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<meta charset="UTF-8"> |
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<meta http-equiv="X-Clacks-Overhead" content="GNU Terry Pratchett" /> |
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<title>OMIII MGPK</title> |
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<link rel="stylesheet" type="text/css" href="{{url_for('static',filename = 'style.css')}}"> |
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</head> |
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<body> |
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<header> |
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<img src="{{url_for('static',filename='head.jpg')}}" width="1200" height="138" class="head"> |
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<div class="container"> |
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<h1 class="logo"> |
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Országos Mentális, Ideggyógyászati és Idegsebészeti Intézet |
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Metasztatikus Gerincdaganat Prognózis Kalkulátor |
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</h1> |
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<strong><nav><ul class="menu"> |
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<li><a class="link" href="{{ url_for('index') }}">Kalkulátor</a></li> |
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<li><a class="link" href="{{ url_for('contact_us') }}">Kapcsolat</a></li> |
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<li><a onclick="window.print()">Nyomtatás</a></li> |
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</ul></nav></strong> |
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</div> |
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</header> |
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{% block content %}{% endblock %} |
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<div class="container"><div class="about"> |
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<p> <img src="{{url_for('static', filename='sote_logo.png')}}" width="150" height="150"> |
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<img src="{{url_for('static', filename='sote_phd.png')}}" width="150" height="150"> |
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<img src="{{url_for('static', filename='elte_logo.png')}}" width="150" height="150"> |
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<img src="{{url_for('static', filename='sote_emk.png')}}" width="150" height="150" class="emk_logo"> |
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|
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</p> |
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<p> |
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Amennyiben kutatásunkat, pontrendszerünket hasznosnak találta, kérjük hivatkozza kéziratainkat a további fejlődés elősegítése céljából. |
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<ul> |
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<li>Czigléczki G., Mezei T., Pollner P., Horváth A., Banczerowski P. (2018) <i>Prognostic factors of surgical complications and overall survival of patients with metastatic spinal tumor</i> World Neurosurgery, 113:e20-e28. DOI:<a href="https://doi.org/10.1016/j.wneu.2018.01.092">10.1016/j.wneu.2018.01.092</a></li> |
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<li>Pollner P.*, Horváth A.*, Mezei T., Banczerowski P., Czigléczki G. (2018) <i>Analysis of four scoring systems for the prognosis of patients with metastasis of the vertebral column</i> World Neurosurgery, 112:e675-e682. DOI:<a href="https://doi.org/10.1016/j.wneu.2018.01.124">10.1016/j.wneu.2018.01.124</a></li> |
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<li>Mezei T., Horváth A., Pollner P., Czigléczki G., Banczerowski P. (2020) <i>Research on the predicting power of the revised Tokuhashi system: how much time can surgery give to patients with short life expectancy?</i> International Journal of Clinical Oncology, 25 (4):755-764. DOI:<a href="https://doi.org/10.1007/s10147-019-01612-w">10.1007/s10147-019-01612-w</a></li> |
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</ul> |
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</p> |
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<p> |
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<h3 class="about">Felhasznált Irodalom</h3> |
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[1.] Fisher, C.G. et al. (2010) <i>A novel classification system for spinal instability in neoplastic disease: an evidence-based approach and expert consensus from the Spine Oncology Study Group.</i> Spine (Phila Pa 1976) 35 (22):E1221-1229. DOI:<a href="https://doi.org/10.1097/brs.0b013e3181e16ae2">10.1097/BRS.0b013e3181e16ae2</a> |
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</p> |
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</div></div> |
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</body> |
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</html> |
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@ -0,0 +1,61 @@ |
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{% extends "form.html" %} |
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|
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{% block results %} |
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<hr> |
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<h2>Eredmény</h2> |
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<div class="container"><div class="home"> |
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<h3>Prognosztikai csoportok</h3> |
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{% if 0 <= nmstpc_score <= 17 %} |
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<div><p><b>Kedvező életkilátású csoport</b> <i>(0-17: <span style="color:red">{{ nmstpc_score }} pont</span>)</i> Műtéti kezelés javasolt. A radiológiai morfológia alapján választandó meg a pontos műtéttechnika, javasoljuk a maximálisan lehetséges radikális eltávolítást („excízionális műtét").</p></div> |
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{% elif 18 <= nmstpc_score <= 24 %} |
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<div><p><b>Közepes életkilátású csoport</b> <i>(18-24: <span style="color:red">{{ nmstpc_score }} pont</span>)</i> Műtéti ellátás javasolt, azonban „kevésbé invazív beavatkozást” preferálandó ebben a csoportban.</p></div> |
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{% elif 25 <= nmstpc_score <= 39 %} |
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<div><p><b>Gyenge életkilátású csoport</b> <i>(24-39: <span style="color:red">{{ nmstpc_score }} pont</span>)</i> Elsősorban palliatív onko-radioterápia javasolt, amennyiben minimal invazív beavatkozással jelentős funkciójavulást, életminőség növekedést, fájdalomcsillapítást érhetünk el, abban az esetben műtéti ellátás is szóba jön.</p></div> |
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{% else %} |
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<div><p>ERROR: nmstpc_score > 39 </p></div> |
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{% endif %} |
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<p>Stabilizáció szükségességének megítéléséhez SINS nyújthat segítséget.</p> |
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<h3>A feltételezett instabilitás mértéke</h3> |
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{% if 0 <= sins_score <= 6 %} |
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<div><p><b>Stabil gerincszakasz.</b> <i>(0-6: <span style="color:red">{{ sins_score }} pont</span>)</i></p></div> |
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{% elif 7 <= sins_score <= 12 %} |
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<div><p><b>Pontenciálisan instabil gerincszakasz.</b> <i>(7-12: <span style="color:red">{{ sins_score }} pont</span>)</i></p></div> |
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{% elif 13 <= sins_score <= 18 %} |
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<div><p><b>Instabil gerincszakasz.</b> <i>(13-18: <span style="color:red">{{ sins_score }} pont</span>)</i></p></div> |
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{% else %} |
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<div><p>ERROR: sins_score > 18 </p></div> |
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{% endif %} |
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<h3> Halál kockázata </h3> |
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<table> |
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<tr> |
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<td>1 hónap:</td> |
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<td><b>{{ m1r }} %</b></td> |
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</tr> |
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<tr> |
|||
<td>3 hónap:</td> |
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<td><b>{{ m3r }} %</b></td> |
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</tr> |
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<tr> |
|||
<td>6 hónap:</td> |
|||
<td><b>{{ m6r }} %</b></td> |
|||
</tr> |
|||
<tr> |
|||
<td>1 év:</td> |
|||
<td><b>{{ y1r }} %</b></td> |
|||
</tr> |
|||
<tr> |
|||
<td>2 év:</td> |
|||
<td><b>{{ y2r }} %</b></td> |
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</tr> |
|||
<tr> |
|||
<td>4 év:</td> |
|||
<td><b>{{ y4r }} %</b></td> |
|||
</tr> |
|||
<tr> |
|||
<td>8 év:</td> |
|||
<td><b>{{ y8r }} %</b></td> |
|||
</tr> |
|||
</table> |
|||
<img src="data:image/png;base64,{{ encoded_img }}" class="result_image"> |
|||
</div></div> |
|||
{% endblock %} |
|||
@ -0,0 +1,33 @@ |
|||
primer_tumor_score = [ |
|||
(0, 1), |
|||
(0, 2), |
|||
(6, 3), |
|||
(6, 4), |
|||
(12, 5), |
|||
(12, 6), |
|||
(12, 7), |
|||
(12, 8), |
|||
(12, 9), |
|||
(12, 10), |
|||
(12, 11), |
|||
(12, 12), |
|||
(12, 13), |
|||
(12, 14), |
|||
(12, 15), |
|||
(12, 16), |
|||
(12, 17), |
|||
(12, 18), |
|||
(12, 19), |
|||
(19, 20), |
|||
(19, 21), |
|||
(19, 22), |
|||
(19, 23), |
|||
(19, 24), |
|||
(19, 25)] |
|||
|
|||
def type_to_score(typ): |
|||
score = 0 |
|||
for i in range(len(primer_tumor_score)): |
|||
if typ == primer_tumor_score[i][1]: |
|||
score = primer_tumor_score[i][0] |
|||
return int(score) |
|||
@ -0,0 +1 @@ |
|||
hu_HU.UTF-8 UTF-8 |
|||
@ -0,0 +1,23 @@ |
|||
<VirtualHost *:80> |
|||
ServerAdmin baskayj |
|||
DocumentRoot /var/www/html/gerincmet |
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|
|||
WSGIDaemonProcess prog_calc python-home=/var/www/html/gerincmet/prog_calc/prog_calc/venv python-path=/var/www/html/gerincmet/prog_calc/prog_calc:/var/www/html/gerincmet/prog_calc/prog_calc/venv/local/lib/python3.9/site-packages threads=5 |
|||
# WSGIScriptAlias /omiiimgpk /var/www/html/gerincmet/prog_calc/prog_calc.wsgi |
|||
WSGIScriptAlias /gerincmet /var/www/html/gerincmet/prog_calc/prog_calc.wsgi |
|||
WSGIApplicationGroup %{GLOBAL} |
|||
<Directory /var/www/html/gerincmet/prog_calc/prog_calc/> |
|||
WSGIProcessGroup prog_calc |
|||
WSGIApplicationGroup %{GLOBAL} |
|||
Order deny,allow |
|||
Allow from all |
|||
</Directory> |
|||
Alias /static /var/www/html/gerincmet/prog_calc/prog_calc/static |
|||
<Directory /var/www/html/gerincmet/prog_calc/prog_calc/static/> |
|||
Order allow,deny |
|||
Allow from all |
|||
</Directory> |
|||
ErrorLog ${APACHE_LOG_DIR}/error.log |
|||
LogLevel warn |
|||
CustomLog ${APACHE_LOG_DIR}/access.log combined |
|||
</VirtualHost> |
|||
@ -0,0 +1,36 @@ |
|||
Flask==2.0.2 |
|||
Flask-WTF==1.0.0 |
|||
Jinja2==3.0.3 |
|||
MarkupSafe==2.0.1 |
|||
Pillow==8.4.0 |
|||
WTForms==3.0.0 |
|||
Werkzeug==2.0.2 |
|||
altgraph==0.17.2 |
|||
astor==0.8.1 |
|||
autograd==1.3 |
|||
autograd-gamma==0.5.0 |
|||
click==8.0.3 |
|||
cycler==0.11.0 |
|||
fonttools==4.28.1 |
|||
formulaic==0.2.4 |
|||
future==0.18.2 |
|||
interface-meta==1.2.4 |
|||
itsdangerous==2.0.1 |
|||
kiwisolver==1.3.2 |
|||
lifelines==0.26.3 |
|||
matplotlib==3.5.0 |
|||
numpy==1.21.4 |
|||
packaging==21.2 |
|||
pandas==1.3.4 |
|||
pip==20.0.2 |
|||
pyinstaller==4.7 |
|||
pyinstaller-hooks-contrib==2021.3 |
|||
pyparsing==2.4.7 |
|||
python-dateutil==2.8.2 |
|||
pytz==2021.3 |
|||
scipy==1.7.2 |
|||
setuptools==44.0.0 |
|||
setuptools-scm==6.3.2 |
|||
six==1.16.0 |
|||
tomli==1.2.2 |
|||
wrapt==1.13.3 |
|||
@ -0,0 +1,9 @@ |
|||
#!/bin/sh |
|||
|
|||
set -e |
|||
|
|||
. /etc/apache2/envvars |
|||
ulimit -n 8192 |
|||
chown root:www-data /var/lock/apache2 |
|||
chown -R www-data:www-data /var/www/html |
|||
exec /usr/sbin/apache2 -k start -DFOREGROUND |
|||
Loading…
Reference in new issue