pipisa-exporter/exporto.py

from sqlalchemy import create_engine, Integer, String, BIGINT, Column, DateTime 
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
from sqlalchemy import select, update



from flask import Flask 

app = Flask(__name__)


engine = create_engine('postgresql+psycopg2://postgres:postgres@postgres.vdk2ch.ru:5432/jack_bot', echo=True)
Session = sessionmaker(bind=engine)


Base = declarative_base()



class user(Base):
    __tablename__ = 'users'

    id = Column(Integer, primary_key=True)
    user_id = Column(Integer)
    user_fullname = Column(String)
    dick_size = (Column(Integer))
    datetimes = (Column(DateTime))
    chat_id = Column(BIGINT)


 

def get_top_dicks():


    session = Session()

    top = session.query(user.user_fullname, user.dick_size, user.user_id, user.chat_id).order_by(user.dick_size.desc()).all()
 
        
    session.close()

    return top

 
@app.route('/metrics')
def metrics():
    metrics = ""

    docks = get_top_dicks()

    # текущий размер пипис
    for dick in docks:
        metrics += 'pipisio{user="%s", user_id="%s", chat_id="%s"} %s\n' % (dick[0], dick[2], dick[3], dick[1]) 

    # расстояние до следующего впереди  
    for k in range(len(docks)):

        ### не самый красивый код для не самой красивой ситуации
    
        if k == 0: 
            metrics += 'pipisio_topdick_distanso{user="%s", user_id="%s", chat_id="%s"} %s\n' % (docks[k][0], docks[k][2], docks[k][3], 0) 
        else:

            i = k - 1
            upper_dick_size = docks[i][1]
            while i > 0 and upper_dick_size == docks[k][1]:
                i -= 1
                upper_dick_size = docks[i][1]
 
            if i == 0:
                metrics += 'pipisio_topdick_distanso{user="%s", user_id="%s", chat_id="%s"} %s\n' % (docks[k][0], docks[k][2], docks[k][3], 0) 
            else:
                metrics += 'pipisio_topdick_distanso{user="%s", user_id="%s", chat_id="%s"} %s\n' % (docks[k][0], docks[k][2], docks[k][3], (upper_dick_size - docks[k][1])) 
 
    return metrics

if __name__ == '__main__':
    app.run(host='0.0.0.0', port=9992) 
    engine.dispose()