hopelessjames
639e5ecc2e
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60 lines
1.6 KiB
Python
60 lines
1.6 KiB
Python
from sqlalchemy import create_engine, Integer, String, BIGINT, Column, DateTime
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from sqlalchemy.ext.declarative import declarative_base
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from sqlalchemy.orm import sessionmaker
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from sqlalchemy import select, update
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from sql_db_data import *
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from flask import Flask
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app = Flask(__name__)
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def get_top_dicks():
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session = Session()
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top = session.query(User.user_fullname, UserDick.dick_size, User.user_id, UserDick.chat_id).join(UserDick).order_by(UserDick.dick_size.desc()).all()
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session.close()
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return top
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@app.route('/metrics')
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def metrics():
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metrics = ""
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docks = get_top_dicks()
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# текущий размер пипис
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for dick in docks:
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metrics += 'pipisio{user="%s", user_id="%s", chat_id="%s"} %s\n' % (dick[0], dick[2], dick[3], dick[1])
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# расстояние до следующего впереди
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for k in range(len(docks)):
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### не самый красивый код для не самой красивой ситуации
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if k == 0:
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metrics += 'pipisio_topdick_distanso{user="%s", user_id="%s", chat_id="%s"} %s\n' % (docks[k][0], docks[k][2], docks[k][3], 0)
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else:
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i = k - 1
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upper_dick_size = docks[i][1]
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while i > 0 and upper_dick_size == docks[k][1]:
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i -= 1
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upper_dick_size = docks[i][1]
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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]))
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return metrics
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if __name__ == '__main__':
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app.run(host='0.0.0.0', port=9992)
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engine.dispose() |