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https://github.com/freqtrade/freqtrade.git
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test: add negative test for parallel download
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@@ -800,9 +800,9 @@ def test_download_pair_history_with_pair_candles(mocker, default_conf, tmp_path,
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existing_data = DataFrame(
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{
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"date": [dt_utc(2018, 1, 10, 10, 0), dt_utc(2018, 1, 10, 10, 5)],
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"open": [1.0, 1.1],
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"open": [1.0, 1.15],
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"high": [1.1, 1.2],
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"low": [0.9, 1.0],
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"low": [0.9, 1.1],
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"close": [1.05, 1.15],
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"volume": [100, 150],
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}
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@@ -856,9 +856,6 @@ def test_download_pair_history_with_pair_candles(mocker, default_conf, tmp_path,
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"volume": [100, 200, 250, 300],
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}
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)
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mocker.patch(
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"freqtrade.data.history.history_utils.clean_ohlcv_dataframe", return_value=expected_result
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)
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get_historic_ohlcv_mock = MagicMock()
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mocker.patch.object(exchange, "get_historic_ohlcv", get_historic_ohlcv_mock)
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@@ -887,3 +884,81 @@ def test_download_pair_history_with_pair_candles(mocker, default_conf, tmp_path,
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stored_data = data_handler_mock.ohlcv_store.call_args_list[0][1]["data"]
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assert stored_data.equals(expected_result)
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assert len(stored_data) == 4
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def test_download_pair_history_with_pair_candles_no_overlap(
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mocker, default_conf, tmp_path, caplog
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) -> None:
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exchange = get_patched_exchange(mocker, default_conf)
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# Create test data for existing cached data
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existing_data = DataFrame(
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{
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"date": [dt_utc(2018, 1, 10, 10, 0), dt_utc(2018, 1, 10, 10, 5)],
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"open": [1.0, 1.1],
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"high": [1.1, 1.2],
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"low": [0.9, 1.0],
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"close": [1.05, 1.15],
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"volume": [100, 150],
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}
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)
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# Create pair_candles data that will be used instead of exchange download
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# This data should start before or at the same time as since_ms to trigger the else branch
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pair_candles_data = DataFrame(
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{
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"date": [
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dt_utc(2018, 1, 10, 10, 10),
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dt_utc(2018, 1, 10, 10, 15),
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dt_utc(2018, 1, 10, 10, 20),
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],
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"open": [1.15, 1.2, 1.25],
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"high": [1.25, 1.3, 1.35],
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"low": [1.1, 1.15, 1.2],
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"close": [1.2, 1.25, 1.3],
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"volume": [200, 250, 300],
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}
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)
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# Mock the data handler to return existing cached data
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data_handler_mock = MagicMock()
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data_handler_mock.ohlcv_load.return_value = existing_data
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data_handler_mock.ohlcv_store = MagicMock()
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mocker.patch(
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"freqtrade.data.history.history_utils.get_datahandler", return_value=data_handler_mock
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)
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# Mock _load_cached_data_for_updating to return existing data and since_ms
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since_ms = dt_ts(dt_utc(2018, 1, 10, 10, 5)) # Time of last existing candle
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mocker.patch(
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"freqtrade.data.history.history_utils._load_cached_data_for_updating",
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return_value=(existing_data, since_ms, None),
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)
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get_historic_ohlcv_mock = MagicMock(return_value=DataFrame())
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mocker.patch.object(exchange, "get_historic_ohlcv", get_historic_ohlcv_mock)
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# Call _download_pair_history with pre-loaded pair_candles
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result = _download_pair_history(
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datadir=tmp_path,
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exchange=exchange,
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pair="TEST/BTC",
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timeframe="5m",
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candle_type=CandleType.SPOT,
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pair_candles=pair_candles_data,
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)
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# Verify the function succeeded
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assert result is True
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# Verify that exchange.get_historic_ohlcv was NOT called (parallel method was used)
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assert get_historic_ohlcv_mock.call_count == 1
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# Verify the log message indicating parallel method was used (line 315-316)
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assert not log_has_re(r"Downloaded .* Parallel Method.", caplog)
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# Verify data was stored
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assert data_handler_mock.ohlcv_store.call_count == 1
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stored_data = data_handler_mock.ohlcv_store.call_args_list[0][1]["data"]
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assert stored_data.equals(existing_data)
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assert len(stored_data) == 2
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