npc-drops/model.py

import database
import psycopg2.extras


def get_timestamp_previous():
    """
    Retrieve second to last timestamp from the stocks database
    :return timestamp:
    """
    db = database.db
    cursor = db.cursor(cursor_factory=psycopg2.extras.NamedTupleCursor)
    query = """SELECT DISTINCT timestamp FROM stocks ORDER BY stocks.timestamp DESC LIMIT 1 OFFSET 1;"""
    cursor.execute(query)
    res = cursor.fetchone()
    this_timestamp_previous = res.timestamp
    cursor.close()
    db.close()
    return this_timestamp_previous


def get_timestamp_latest():
    """
    Retrieve latest timestamp from the stocks database
    :return timestamp:
    """
    db = database.db
    cursor = db.cursor(cursor_factory=psycopg2.extras.NamedTupleCursor)
    query = """SELECT DISTINCT timestamp FROM stocks ORDER BY stocks.timestamp DESC LIMIT 1;"""
    cursor.execute(query)
    res = cursor.fetchone()
    this_timestamp_latest = res.timestamp
    cursor.close()
    db.close()
    return this_timestamp_latest


def get_timestamp_stored():
    """
    Retrieve the timestamp when the program checked the database
    :return timestamp:
    """
    with open('timestamp.txt', 'r') as f:
        this_timestamp_stored = f.read()
    return int(this_timestamp_stored)


def put_timestamp_stored(this_timestamp):
    """
    Update timestamp when the program checked the database
    :param this_timestamp:
    :return:
    """
    with open('timestamp.txt', 'w') as f:
        f.write("{}".format(this_timestamp))


def get_data(stock_id, this_timestamp):
    db = database.db
    cursor = db.cursor(cursor_factory=psycopg2.extras.NamedTupleCursor)
    query = """SELECT current_price, available_shares FROM stocks WHERE stock_id = %s AND timestamp = %s"""
    cursor.execute(query, (stock_id, this_timestamp))
    this_data = cursor.fetchone()
    cursor.close()
    db.close()
    return this_data


def process_data(this_data_previous, this_data_latest, this_threshold):
    """
    Calculate if there is enough change to call it a drop
    :param this_data_previous:
    :param this_data_latest:
    :param this_threshold
    :return boolean:
    """
    this_drop = False
    quantity_previous = this_data_previous.available_shares * this_data_latest.current_price
    quantity_latest = this_data_latest.available_shares * this_data_latest.current_price
    if quantity_latest - quantity_previous > this_threshold * 1e9:
        this_drop = True
    return this_drop