general: migrate modules to use 3.9 features

my/body/blood.py

@@ -2,41 +2,42 @@
 Blood tracking (manual org-mode entries)
 """
 
+from __future__ import annotations
+
+from collections.abc import Iterable
 from datetime import datetime
-from typing import Iterable, NamedTuple, Optional
+from typing import NamedTuple
 
-from ..core.error import Res
-from ..core.orgmode import parse_org_datetime, one_table
-
-
-import pandas as pd
 import orgparse
-
+import pandas as pd
 
 from my.config import blood as config  # type: ignore[attr-defined]
 
+from ..core.error import Res
+from ..core.orgmode import one_table, parse_org_datetime
+
 
 class Entry(NamedTuple):
     dt: datetime
 
-    ketones      : Optional[float]=None
-    glucose      : Optional[float]=None
+    ketones      : float | None=None
+    glucose      : float | None=None
 
-    vitamin_d    : Optional[float]=None
-    vitamin_b12  : Optional[float]=None
+    vitamin_d    : float | None=None
+    vitamin_b12  : float | None=None
 
-    hdl          : Optional[float]=None
-    ldl          : Optional[float]=None
-    triglycerides: Optional[float]=None
+    hdl          : float | None=None
+    ldl          : float | None=None
+    triglycerides: float | None=None
 
-    source       : Optional[str]=None
-    extra        : Optional[str]=None
+    source       : str | None=None
+    extra        : str | None=None
 
 
 Result = Res[Entry]
 
 
-def try_float(s: str) -> Optional[float]:
+def try_float(s: str) -> float | None:
     l = s.split()
     if len(l) == 0:
         return None
@@ -105,6 +106,7 @@ def blood_tests_data() -> Iterable[Result]:
 
 def data() -> Iterable[Result]:
     from itertools import chain
+
     from ..core.error import sort_res_by
     datas = chain(glucose_ketones_data(), blood_tests_data())
     return sort_res_by(datas, key=lambda e: e.dt)

my/body/exercise/all.py

@@ -7,10 +7,10 @@ from ...core.pandas import DataFrameT, check_dataframe
 @check_dataframe
 def dataframe() -> DataFrameT:
     # this should be somehow more flexible...
-    from ...endomondo import dataframe as EDF
-    from ...runnerup  import dataframe as RDF
-
     import pandas as pd
+
+    from ...endomondo import dataframe as EDF
+    from ...runnerup import dataframe as RDF
     return pd.concat([
         EDF(),
         RDF(),

my/body/exercise/cardio.py

@@ -3,7 +3,6 @@ Cardio data, filtered from various data sources
 '''
 from ...core.pandas import DataFrameT, check_dataframe
 
-
 CARDIO     = {
     'Running',
     'Running, treadmill',

my/body/exercise/cross_trainer.py

@@ -5,16 +5,18 @@ This is probably too specific to my needs, so later I will move it away to a per
 For now it's worth keeping it here as an example and perhaps utility functions might be useful for other HPI modules.
 '''
 
-from datetime import datetime, timedelta
-from typing import Optional
+from __future__ import annotations
 
-from ...core.pandas import DataFrameT, check_dataframe as cdf
-from ...core.orgmode import collect, Table, parse_org_datetime, TypedTable
+from datetime import datetime, timedelta
+
+import pytz
 
 from my.config import exercise as config
 
+from ...core.orgmode import Table, TypedTable, collect, parse_org_datetime
+from ...core.pandas import DataFrameT
+from ...core.pandas import check_dataframe as cdf
 
-import pytz
 # FIXME how to attach it properly?
 tz = pytz.timezone('Europe/London')
 
@@ -114,7 +116,7 @@ def dataframe() -> DataFrameT:
             rows.append(rd) # presumably has an error set
             continue
 
-        idx: Optional[int]
+        idx: int | None
         close = edf[edf['start_time'].apply(lambda t: pd_date_diff(t, mdate)).abs() < _DELTA]
         if len(close) == 0:
             idx = None
@@ -163,7 +165,9 @@ def dataframe() -> DataFrameT:
 # TODO wtf?? where is speed coming from??
 
 
-from ...core import stat, Stats
+from ...core import Stats, stat
+
+
 def stats() -> Stats:
     return stat(cross_trainer_data)
 

my/body/sleep/common.py

@@ -1,5 +1,6 @@
-from ...core import stat, Stats
-from ...core.pandas import DataFrameT, check_dataframe as cdf
+from ...core import Stats, stat
+from ...core.pandas import DataFrameT
+from ...core.pandas import check_dataframe as cdf
 
 
 class Combine:

my/body/sleep/main.py

@@ -1,7 +1,6 @@
-from ... import jawbone
-from ... import emfit
-
+from ... import emfit, jawbone
 from .common import Combine
+
 _combined = Combine([
     jawbone,
     emfit,

my/body/weight.py

@@ -2,14 +2,14 @@
 Weight data (manually logged)
 '''
 
+from collections.abc import Iterator
 from dataclasses import dataclass
 from datetime import datetime
-from typing import Any, Iterator
-
-from my.core import make_logger
-from my.core.error import Res, extract_error_datetime, set_error_datetime
+from typing import Any
 
 from my import orgmode
+from my.core import make_logger
+from my.core.error import Res, extract_error_datetime, set_error_datetime
 
 config = Any