Exemple #1
0
def upload_portfolio_allocations(user_id, portfolio_id, filename, name):
    df = pd.read_excel(filename)
    db = Connection()
    table = db.get_table("Portfolio")
    info = lambda f: {
        "HashKey": f["CoinID"],
        "Name": f["Name"],
        "Allocation": Decimal(str(f["Allocation"]))
    }

    allocs = [info(df.iloc[i]) for i in range(len(df))]

    for a in allocs:
        coin = db.get_coin(a['HashKey'], get_ts=True)
        if len(coin.Performance) < 6:
            a['Allocation'] = Decimal(0)

    updates = {"Allocations": {"Value": allocs, "Action": "PUT"}}
    key = {"CompanyID": user_id, "HashKey": portfolio_id}
    table.update_item(Key=key, AttributeUpdates=updates)
    port = Portfolio({
        "HashKey": portfolio_id,
        "Allocations": allocs,
        "Name": name
    })

    proforma = port.calc_proforma(db)
    recalculate_portfolio_coin(portfolio_id, user_id, proforma, name, db)
Exemple #2
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def save_session(session):
    
    db = Connection()
    table = db.get_table("Session")
    table.put_item(Item=session)
    


       
Exemple #3
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def get_session(sessionid):
    db = Connection()
    table = db.get_table("Session")
    res = table.get_item(Key={"HashKey":sessionid})
    
    return res['Item'] if res_ok(res) else def_sess(sessionid)
Exemple #4
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Oct 31 13:11:48 2016

@author: coin-ai
"""

from datalib.datalib import Connection
from datalib.coin import Coin
from datetime import datetime
from analytics.time_series import get_frequency

db = Connection()
COINS = db.get_all_coins()
table = db.get_table("COIN")

for COIN in COINS:
    # print(COIN.Name)
    ts = COIN.Performance
    T = len(ts)
    mx = int(max(ts.index).timestamp())
    mn = int(min(ts.index).timestamp())
    item = COIN.to_db_item()
    item['MaxDate'] = mx
    item['MinDate'] = mn
    item['Frequency'] = get_frequency(ts)
    item['T'] = T
    table.put_item(Item=item)
    # print("COIN updated: %s" % COIN.Name)