Ejemplo n.º 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)
Ejemplo n.º 2
0
def create_allocation_template(userid, portfolio_id, target_file):
    """
        Creates excel file with current allocations as well as all Coins
        that can be included in portfolios
    """
    try:

        db = Connection()
        watched_coins = sorted(db.get_watched_coins(userid, get_ts=True),
                               key=alloc_sort)
        port = db.get_portfolio(userid, portfolio_id)
        allocs = port.Allocations
        alloc_ids = [a['HashKey'] for a in allocs]
        wb = xlwt.Workbook()
        wsh = wb.add_sheet('Allocations')
        wsh.write(0, 0, "CoinID")
        wsh.write(0, 1, "Name")
        wsh.write(0, 2, "Allocation")
        wsh.write(0, 3, "T")
        wsh.write(0, 4, "Start Date")
        wsh.write(0, 5, "End Date")
        wsh.write(0, 6, "Frequency")

        def write_coin_stats(coin, i):
            wsh.write(i + 1, 3, len(coin.Performance))
            if (len(coin.Performance)) > 0:
                wsh.write(
                    i + 1, 4,
                    min(coin.Performance.index).to_datetime().strftime(
                        "%m/%d/%Y"))
                wsh.write(
                    i + 1, 5,
                    max(coin.Performance.index).to_datetime().strftime(
                        "%m/%d/%Y"))
                wsh.write(i + 1, 6, get_frequency(coin.Performance))

        for i, alloc in enumerate(allocs):
            hashkey = alloc['HashKey']
            name = alloc['Name']
            coin = db.get_coin(hashkey)
            w = alloc['Allocation']
            wsh.write(i + 1, 0, hashkey)
            wsh.write(i + 1, 1, name)
            wsh.write(i + 1, 2, w)
            write_coin_stats(coin, i)

        i = len(allocs)
        for coin in watched_coins:
            if coin.HashKey not in alloc_ids:
                wsh.write(i + 1, 0, coin.HashKey)
                wsh.write(i + 1, 1, coin.Name)
                wsh.write(i + 1, 2, 0)
                write_coin_stats(coin, i)
                i = i + 1
        wb.save(target_file)

    except Exception as ex:
        return False
    return True
Ejemplo n.º 3
0
        for field_info in fields:
            field_name = field_info['Key']
            field_label = field_info['Label']
            if 'Format' in field_info:
                fmt = field_info['Format']
            else:
                fmt = "{0}"

            field = FieldInfo(field_name, field_label, fmt)
            self.field_list.append(field_name)
            self.help_dict[field_name] = field

    def help(self, obj):
        obj_dict = obj.__dict__
        fields = [self.help_dict[f] for f in self.field_list if f in obj_dict]
        return [(f.label, f.format(obj_dict[f.key])) for f in fields]


if __name__ == '__main__':

    helper = StatsHelper()

    from analytics.basicstats import BasicStats
    from datalib.datalib import Connection

    coinid = 'e042001c-9a43-11e6-bfb2-14109fdf0df7'
    db = Connection()
    coin = db.get_coin(coinid)
    stats = BasicStats(coin.Performance)
    res = helper.help(stats)