Esempio n. 1
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    def test_update_fundamentals_delete_old(self):
        symbols = [
            {"symbol": "C6L.SI"},
            {"symbol": "ABC.SI"},
        ]

        prices = [
            {"symbol_obj": "C6L.SI", "date": datetime(2012, 12, 21), "open": 0, "close": 0, "high": 0, "low": 0, "volume": 0, "adj_close": 99.9},
            {"symbol_obj": "ABC.SI", "date": datetime(2012, 12, 21), "open": 0, "close": 0, "high": 0, "low": 0, "volume": 0, "adj_close": 669.5},
        ]

        with db.transaction():
            Symbol.insert_many(symbols).execute()
            Price.insert_many(prices).execute()

        symbol = "C6L.SI"
        records = [
            {"symbol_obj": "C6L.SI", "date": datetime(2012, 12, 21), "open": 0, "close": 0, "high": 0, "low": 0, "volume": 0, "adj_close": 100.0},
            {"symbol_obj": "C6L.SI", "date": datetime(2012, 12, 22), "open": 0, "close": 0, "high": 0, "low": 0, "volume": 0, "adj_close": 120.0},
        ]

        query.update_fundamentals("price", symbol, records, datetime(2012, 12, 22), delete_old=True)

        updated_data = list(Price.select().dicts())
        for p in updated_data:
            del p["id"]

        self.assertEqual(updated_data, prices[1:] + records)
Esempio n. 2
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    def test_update_fundamentals(self):
        symbols = [
            {"symbol": "C6L.SI"},
            {"symbol": "ABC.SI"}
        ]

        balance_sheets = [
            {"symbol_obj": "C6L.SI", "date": datetime(1994, 4, 1), "inventories": 1000},
            {"symbol_obj": "C6L.SI", "date": datetime(1995, 4, 1), "inventories": 2000},
        ]

        with db.transaction():
            Symbol.insert_many(symbols).execute()
            BalanceSheet.insert_many(balance_sheets).execute()

        symbol = "C6L.SI"
        records = [
            {"symbol_obj": "C6L.SI", "date": datetime(1996, 4, 1), "inventories": 4000},
            {"symbol_obj": "C6L.SI", "date": datetime(1997, 4, 1), "inventories": 8000},
        ]
        end_date = datetime(2012, 12, 22)

        query.update_fundamentals("balance_sheet", symbol, records, end_date)

        updated_data = list(BalanceSheet.select(
            BalanceSheet.symbol_obj, BalanceSheet.date, BalanceSheet.inventories
        ).dicts())

        markers = list(Symbol.select(
            Symbol.symbol, Symbol.balance_sheet_updated_at
        ).dicts())

        self.assertEqual(updated_data, balance_sheets + records)
        self.assertEqual(markers, [
            {"symbol": "C6L.SI", "balance_sheet_updated_at": end_date},
            {"symbol": "ABC.SI", "balance_sheet_updated_at": None},
        ])
Esempio n. 3
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from fa.database.query import get_outdated_symbols, update_fundamentals

import initialize
from settings import *


""" Download data from internet to database """

initialize.init()
logger = logging.getLogger(__name__)

logger.info("Will update historical prices of all symbols not up to date on {0}.".format(end_date))
all_symbols = [s.symbol for s in get_outdated_symbols("price", end_date)]

# do the download in chunks of size 8 to prevent overloading servers
for symbols in partition(all_symbols, 8):
    data = yahoo.get_historical_data(symbols, start_date, end_date)

    for symbol, csv_string in data.items():
        if csv_string:
            try:
                records = csv_string_to_records(symbol, csv_string, strict=True)
                update_fundamentals("price", symbol, records, end_date, delete_old=True)
            except csv.Error as e:
                logger.exception(e)
                logger.error("csv of {0} is malformed.".format(symbol))
        else:
            logger.warning("Could not find updated historical prices of {0}. Skip.".format(symbol))

logger.info("Finished updating historical prices.")
initialize.init()
logger = logging.getLogger(__name__)

for report_type in wsj.FINANCIAL_REPORT_TYPES:
    logger.info("Will update {0} data of all symbols not up to date on {1}.".format(report_type, end_date))

    data_type = report_type.replace('-', '_')
    symbol_update_dates = {s.symbol: s.updated_at for s in get_outdated_symbols(data_type, end_date, "stock")}

    for symbol in symbol_update_dates:
        try:
            data = wsj.get_financial_data(symbol, "annual", report_type)
        except MinerException as e:
            logger.warning("Could not find updated {0} data of {1} due to {2}. Skip.".format(report_type, symbol, e.__class__.__name__))
            continue
        else:
            records = list(csv_rows_to_records(symbol, data))

            if symbol_update_dates[symbol]:
                logger.info("Filter out {0} records of {1} that already exist".format(report_type, symbol))
                existing_record_dates = set(r.date for r in get_record_dates(data_type, symbol))
                records = [r for r in records if r["date"] not in existing_record_dates]

            if records:
                update_fundamentals(data_type, symbol, records, end_date)
            else:
                logger.info("No new {0} data for {1}.".format(report_type, symbol))

    logger.info("Finished updating {0} data.".format(report_type))