Fix FileStorage

qlib/data/storage/__init__.py

@@ -1,4 +1,4 @@
 # Copyright (c) Microsoft Corporation.
 # Licensed under the MIT License.
 
-from .storage import CalendarStorage, InstrumentStorage, FeatureStorage
+from .storage import CalendarStorage, InstrumentStorage, FeatureStorage

qlib/data/storage/file_storage.py

@@ -1,14 +1,15 @@
 # Copyright (c) Microsoft Corporation.
 # Licensed under the MIT License.
 
+import struct
 from pathlib import Path
 from typing import Iterator, Iterable, Type, List, Tuple, Text, Union
 
-from data.storage.storage import FeatureVT
+from .storage import FeatureVT
 
 import numpy as np
 import pandas as pd
-from qlib.data.storage import CalendarStorage, InstrumentStorage, FeatureStorage
+from . import CalendarStorage, InstrumentStorage, FeatureStorage
 
 
 CalVT = Type[pd.Timestamp]
@@ -70,9 +71,9 @@ class FileFeatureStorage(FeatureStorage):
 
             if isinstance(i, int):
                 if ref_start_index > i:
-                    raise IndexError(f"{i}")
+                    raise IndexError(f"{i}: start index is {ref_start_index}")
                 fp.seek(4 * (i - ref_start_index) + 4)
-                return i, float(fp.read(4))
+                return i, struct.unpack("f", fp.read(4))
             elif isinstance(i, slice):
                 start_index = i.start
                 end_index = i.stop - 1
@@ -83,9 +84,18 @@ class FileFeatureStorage(FeatureStorage):
                 # read n bytes
                 count = end_index - si + 1
                 data = np.frombuffer(fp.read(4 * count), dtype="<f")
-                return zip(range(si, si + len(data)), data)
+                return list(zip(range(si, si + len(data)), data))
             else:
                 raise TypeError(f"type(i) = {type(i)}")
 
     def __len__(self) -> int:
         return Path(self._uri).stat().st_size // 4 - 1
+
+    def __iter__(self):
+        with open(self._uri, "rb") as fp:
+            ref_start_index = int(np.frombuffer(fp.read(4), dtype="<f")[0])
+            fp.seek(4)
+            # read n bytes
+            data = np.frombuffer(fp.read(), dtype="<f")
+            for v in zip(range(ref_start_index, ref_start_index + len(data)), data):
+                yield v

qlib/data/storage/storage.py

@@ -1,6 +1,6 @@
 # Copyright (c) Microsoft Corporation.
 # Licensed under the MIT License.
-from abc import abstractmethod
+
 from collections.abc import MutableSequence, MutableMapping, Sequence
 from typing import Iterable, overload, TypeVar, Tuple, List, Text, Iterator
 

tests/storage_tests/test_storage.py

@@ -1,54 +1,50 @@
 # Copyright (c) Microsoft Corporation.
 # Licensed under the MIT License.
 
+
+import shutil
 from pathlib import Path
-from importlib.util import spec_from_file_location, module_from_spec
+from collections.abc import Iterable
 
-import pandas as pd
+import pytest
+import numpy as np
+from qlib.tests.data import GetData
+
+from qlib.data.storage.file_storage import (
+    FileCalendarStorage as CalendarStorage,
+    FileInstrumentStorage as InstrumentStorage,
+    FileFeatureStorage as FeatureStorage,
+)
+
+DATA_DIR = Path(__file__).parent.joinpath("test_get_data")
+QLIB_DIR = DATA_DIR.joinpath("qlib")
+QLIB_DIR.mkdir(exist_ok=True, parents=True)
 
 
-# TODO: set STORAGE_NAME
-STORAGE_NAME = ""
-STORAGE_FILE_PATH = Path("")
 # TODO: set value
-CALENDAR_URI = ""
+CALENDAR_URI = QLIB_DIR.joinpath("calendars").joinpath("day.txt")
-INSTRUMENT_URI = ""
+INSTRUMENT_URI = QLIB_DIR.joinpath("instruments").joinpath("csi300.txt")
-FEATURE_URI = ""
+FEATURE_URI = QLIB_DIR.joinpath("features").joinpath("SH600004").joinpath("close.day.bin")
 
 
-def get_module(module_path: Path):
+class TestStorage:
-    module_spec = spec_from_file_location("", module_path)
+    @classmethod
-    module = module_from_spec(module_spec)
+    def setup_class(cls):
-    module_spec.loader.exec_module(module)
+        GetData().qlib_data(name="qlib_data_simple", target_dir=QLIB_DIR, region="cn", interval="1d", delete_old=False)
-    return module
 
+    @classmethod
+    def teardown_class(cls):
+        shutil.rmtree(str(DATA_DIR.resolve()))
 
-STORAGE_MODULE = get_module(STORAGE_FILE_PATH)
-
-
-CalendarStorage = getattr(STORAGE_MODULE, f"{STORAGE_NAME.title()}CalendarStorage")
-InstrumentStorage = getattr(STORAGE_MODULE, f"{STORAGE_NAME.title()}InstrumentStorage")
-FeatureStorage = getattr(STORAGE_MODULE, f"{STORAGE_NAME.title()}FeatureStorage")
-
-
-class TestCalendarStorage:
     def test_calendar_storage(self):
-        # calendar value: pd.date_range(start="2005-01-01", stop="2005-03-01", freq="1D")
-        start_date = "2005-01-01"
-        end_date = "2005-03-01"
-        values = pd.date_range(start_date, end_date, freq="1D")
 
         calendar = CalendarStorage(uri=CALENDAR_URI)
-        # test `__iter__`
+        assert isinstance(calendar, Iterable), f"{calendar.__class__.__name__} is not Iterable"
-        for _s, _t in zip(calendar, values):
+        assert isinstance(calendar[:], Iterable), f"{calendar.__class__.__name__}.__getitem__(s: slice) is not Iterable"
-            assert pd.Timestamp(_s) == pd.Timestamp(_t), f"{calendar.__name__}.__iter__ error"
 
-        # test `__getitem__(self, s: slice)`
+        print(f"calendar[1: 5]: {calendar[1:5]}")
-        for _s, _t in zip(calendar[1:3], values[1:3]):
+        print(f"calendar[0]: {calendar[0]}")
-            assert pd.Timestamp(_s) == pd.Timestamp(_t), f"{calendar.__name__}.__getitem__(s: slice) error"
+        print(f"calendar[-1]: {calendar[-1]}")
-
-        # test `__getitem__(self, i)`
-        assert pd.Timestamp(calendar[0]) == pd.Timestamp(values[0]), f"{calendar.__name__}.__getitem__(i: int) error"
 
     def test_instrument_storage(self):
         """
@@ -83,24 +79,21 @@ class TestCalendarStorage:
                 }
 
         """
-        base_instrument = {
+
-            "SH600000": [("2005-01-01", "2005-01-31"), ("2005-02-15", "2005-03-01")],
-            "SH600001": [("2005-01-01", "2005-03-01")],
-            "SH600002": [("2005-01-01", "2005-02-14")],
-            "SH600003": [("2005-02-01", "2005-03-01")],
-        }
         instrument = InstrumentStorage(uri=INSTRUMENT_URI)
 
-        # test `keys`
+        assert isinstance(instrument, Iterable), f"{instrument.__class__.__name__} is not Iterable"
-        assert sorted(instrument.keys()) == sorted(base_instrument.keys()), f"{instrument.__name__}.keys error"
+
-        # test `__getitem__`
+        for inst, spans in instrument.items():
-        assert instrument["SH600000"] == base_instrument["SH600000"], f"{instrument.__name__}.__getitem__ error"
+            assert isinstance(inst, str) and isinstance(
-        # test `get`
+                spans, Iterable
-        assert instrument.get("SH600001") == base_instrument.get("SH600001"), f"{instrument.__name__}.get error"
+            ), f"{instrument.__class__.__name__} value is not Iterable"
-        # test `items`
+            for s_e in spans:
-        for _item in instrument.items():
+                assert (
-            assert base_instrument[_item[0]] == _item[1]
+                    isinstance(s_e, tuple) and len(s_e) == 2
-        assert len(instrument.items()) == len(instrument) == len(base_instrument), f"{instrument.__name__}.items error"
+                ), f"{instrument.__class__.__name__}.__getitem__(k) TypeError"
+
+        print(f"instrument['SH600000']: {instrument['SH600000']}")
 
     def test_feature_storage(self):
         """
@@ -156,19 +149,18 @@ class TestCalendarStorage:
 
         """
 
-        # FeatureStorage(SH600003, close)
         feature = FeatureStorage(uri=FEATURE_URI)
-        # 2005-02-01 and 2005-03-01
-        assert feature[31] == 1 and feature[59] == 4, f"{feature.__name__}.__getitem__(i: int) error"
 
-        # 2005-02-01, 2005-02-02, 2005-02-03
+        assert isinstance(feature, Iterable), f"{feature.__class__.__name__} is not Iterable"
-        # close_items: [(31, 1), ..., (33, <value>)]
+        with pytest.raises(IndexError):
-        close_items = feature[31:34]
+            print(feature[0])
+        assert len(feature[815:818]) == 3, f"{feature.__class__.__name__}.__getitem__(s: slice) error"
+        print(f"feature[815: 818]: {feature[815: 818]}")
 
-        # 2005-02-01, ..., 2005-03-01
+        for _item in feature:
-        # feature: [(31, 1), ..., (59, 4)]
+            assert (
-        print(feature)
+                isinstance(_item, tuple) and len(_item) == 2
-
+            ), f"{feature.__class__.__name__}.__iter__ item type error"
-        assert (
+            assert isinstance(_item[0], int) and isinstance(
-            len(feature) == len(feature[:]) == len(feature[31:60]) == 29
+                _item[1], (float, np.float, np.float32)
-        ), f"{feature.__name__}.items/__getitem__(s: slice) error"
+            ), f"{feature.__class__.__name__}.__iter__ value type error"