Better import of split frequency CSV price files

sysinit/futures/contract_prices_from_split_freq_csv_to_db.py

@@ -0,0 +1,174 @@
+from syscore.constants import arg_not_supplied
+from syscore.dateutils import MIXED_FREQ, HOURLY_FREQ, DAILY_PRICE_FREQ
+from syscore.pandas.frequency import merge_data_with_different_freq
+from sysdata.csv.csv_futures_contract_prices import csvFuturesContractPriceData
+from sysobjects.contracts import futuresContract
+from sysobjects.futures_per_contract_prices import futuresContractPrices
+from sysproduction.data.prices import diagPrices
+
+diag_prices = diagPrices()
+db_prices = diag_prices.db_futures_contract_price_data
+
+
+def init_db_with_split_freq_csv_prices(
+    datapath: str,
+    csv_config=arg_not_supplied,
+    ignore_duplication: bool = True,  # if True, we overwrite existing prices
+):
+    csv_prices = csvFuturesContractPriceData(datapath)
+    input(
+        "WARNING THIS WILL ERASE ANY EXISTING DATABASE PRICES WITH DATA FROM %s ARE YOU SURE?! (CTRL-C TO STOP)"
+        % csv_prices.datapath
+    )
+
+    instrument_codes = csv_prices.get_list_of_instrument_codes_with_merged_price_data()
+    instrument_codes.sort()
+    for instrument_code in instrument_codes:
+        init_db_with_split_freq_csv_prices_for_code(
+            instrument_code,
+            datapath,
+            csv_config=csv_config,
+            ignore_duplication=ignore_duplication,
+        )
+
+
+def init_db_with_split_freq_csv_prices_for_code(
+    instrument_code: str,
+    datapath: str,
+    csv_config=arg_not_supplied,
+    ignore_duplication: bool = True,
+):
+    same_length = []
+    too_short = []
+    print(f"Importing split freq csv prices for {instrument_code}")
+    csv_prices = csvFuturesContractPriceData(datapath, config=csv_config)
+
+    print(f"Getting split freq .csv prices may take some time")
+    hourly_dict = csv_prices.get_prices_at_frequency_for_instrument(
+        instrument_code,
+        frequency=HOURLY_FREQ,
+    )
+    daily_dict = csv_prices.get_prices_at_frequency_for_instrument(
+        instrument_code,
+        frequency=DAILY_PRICE_FREQ,
+    )
+
+    hourly_and_daily = sorted(hourly_dict.keys() & daily_dict.keys())
+    daily_only = sorted(set(daily_dict.keys()) - set(hourly_dict.keys()))
+    hourly_only = sorted(set(hourly_dict.keys()) - set(daily_dict.keys()))
+
+    print(f"hourly_and_daily: {sorted(hourly_and_daily)}")
+    print(f"daily_only: {sorted(daily_only)}")
+    print(f"hourly_only: {sorted(hourly_only)}")
+
+    print(f"Have hourly and daily .csv prices for: {str(hourly_and_daily)}")
+    for contract_date_str in hourly_and_daily:
+        print(f"Processing {contract_date_str}")
+
+        contract = futuresContract(instrument_code, contract_date_str)
+        print(f"Contract object is {str(contract)}")
+
+        hourly = hourly_dict[contract_date_str]
+        write_prices_for_contract_at_frequency(
+            contract, hourly, HOURLY_FREQ, ignore_duplication=ignore_duplication
+        )
+
+        daily = daily_dict[contract_date_str]
+        write_prices_for_contract_at_frequency(
+            contract, daily, DAILY_PRICE_FREQ, ignore_duplication=ignore_duplication
+        )
+
+        merged = futuresContractPrices(merge_data_with_different_freq([hourly, daily]))
+        write_prices_for_contract_at_frequency(
+            contract, merged, MIXED_FREQ, ignore_duplication=ignore_duplication
+        )
+
+        if len(hourly) == len(daily):
+            same_length.append(contract_date_str)
+
+    print(f"Have daily only .csv prices for: {str(daily_only)}")
+    for contract_date_str in daily_only:
+        print(f"Processing {contract_date_str}")
+
+        contract = futuresContract(instrument_code, contract_date_str)
+        print(f"Contract object is {str(contract)}")
+
+        daily = daily_dict[contract_date_str]
+        write_prices_for_contract_at_frequency(
+            contract, daily, DAILY_PRICE_FREQ, ignore_duplication=ignore_duplication
+        )
+
+        # if we already have hourly data in the db, get it and merge with daily
+        if db_prices.has_price_data_for_contract_at_frequency(
+            contract, frequency=HOURLY_FREQ
+        ):
+            hourly = db_prices.get_prices_at_frequency_for_contract_object(
+                contract, frequency=HOURLY_FREQ
+            )
+            merged = futuresContractPrices(
+                merge_data_with_different_freq([hourly, daily])
+            )
+        else:
+            merged = daily
+        write_prices_for_contract_at_frequency(
+            contract, merged, MIXED_FREQ, ignore_duplication=ignore_duplication
+        )
+
+        if len(daily) < 65:
+            too_short.append(contract_date_str)
+
+    print(f"Have hourly only .csv prices for: {str(hourly_only)}")
+    for contract_date_str in hourly_only:
+        print(f"Processing {contract_date_str}")
+
+        contract = futuresContract(instrument_code, contract_date_str)
+        print(f"Contract object is {str(contract)}")
+
+        hourly = hourly_dict[contract_date_str]
+        write_prices_for_contract_at_frequency(
+            contract, hourly, HOURLY_FREQ, ignore_duplication=ignore_duplication
+        )
+
+        # if we already have daily data in the db, get it and merge with hourly
+        if db_prices.has_price_data_for_contract_at_frequency(
+            contract, frequency=DAILY_PRICE_FREQ
+        ):
+            daily = db_prices.get_prices_at_frequency_for_contract_object(
+                contract, frequency=DAILY_PRICE_FREQ
+            )
+            merged = futuresContractPrices(
+                merge_data_with_different_freq([hourly, daily])
+            )
+        else:
+            merged = hourly
+        write_prices_for_contract_at_frequency(
+            contract, merged, MIXED_FREQ, ignore_duplication=ignore_duplication
+        )
+
+    print(f"These contracts have the same length for daily and hourly: {same_length}")
+    print(f"These daily contracts are short: {too_short}")
+
+
+def write_prices_for_contract_at_frequency(
+    contract, prices, frequency, ignore_duplication=False
+):
+    print(f"{frequency} .csv prices are \n{str(prices)}")
+    print("Writing to db")
+    db_prices.write_prices_at_frequency_for_contract_object(
+        contract,
+        prices,
+        frequency=frequency,
+        ignore_duplication=ignore_duplication,
+    )
+    print("Reading back prices from db to check")
+    written_prices = db_prices.get_prices_at_frequency_for_contract_object(
+        contract, frequency=frequency
+    )
+    print(f"Read back prices ({frequency}) are \n{str(written_prices)}")
+
+
+if __name__ == "__main__":
+    input("Will overwrite existing prices are you sure?! CTL-C to abort")
+    # modify flags as required
+    datapath = "*** NEED TO DEFINE A DATAPATH***"
+    init_db_with_split_freq_csv_prices(datapath)