style: fixed lint warnings/formatting

src/quantifiedme/__init__.py

@@ -1 +1,3 @@
 from .config import load_config
+
+__all__ = ["load_config"]

src/quantifiedme/build_dashboard.py

@@ -1,10 +1,11 @@
+import argparse
+import glob
+import json
 import os
+import shutil
 import subprocess
-import json
-from pathlib import Path
-
 from datetime import datetime, timedelta
-
+from pathlib import Path
 
 cache_dir = Path(".cache").absolute()
 aw_research_dir = Path("aw-research").absolute()
@@ -16,15 +17,15 @@
 
 def _read_qslang_cats():
     with open("./data/substance-categories.txt") as f:
-        return [l.strip() for l in f.readlines()]
+        return [line.strip() for line in f.readlines()]
 
 
 qslang_cats = _read_qslang_cats()
 
 
 def _read_people_colocate():
     with open("./data/people-colocate.txt") as f:
-        return [l.strip() for l in f.readlines()]
+        return [line.strip() for line in f.readlines()]
 
 
 people_colocate = _read_people_colocate()
@@ -66,7 +67,9 @@ def _build_category_sunburst():
             print(str(p.stderr, "utf-8"))
         lines = str(p.stdout, "utf-8").split("\n")
         duration = next(
-            l.strip().lstrip("Duration:").strip() for l in lines if "Duration" in l
+            line.strip().lstrip("Duration:").strip()
+            for line in lines
+            if "Duration" in line
         )
         with open(f".cache/{name}-sunburst.json", "w") as f:
             json.dump({"duration": duration}, f)
@@ -109,8 +112,6 @@ def _build_location_plot():
 
 
 def _read_metadata():
-    import glob
-
     metadata = {}
     for filepath in glob.glob(".cache/*.json"):
         name = filepath.split("/")[-1].rstrip(".json")
@@ -225,17 +226,13 @@ def build(what=None):
 
 
 def _parse_args():
-    import argparse
-
     parser = argparse.ArgumentParser()
     parser.add_argument("--clear", action="store_true")
     parser.add_argument("--what")
     return parser.parse_args()
 
 
 def main():
-    import shutil
-
     args = _parse_args()
     if args.clear:
         shutil.rmtree(aw_research_dir / ".cache/joblib", ignore_errors=True)

src/quantifiedme/derived/sleep.py

@@ -64,7 +64,7 @@ def load_sleep_df(ignore: list[str] = [], aggregate=True) -> pd.DataFrame:
     # perform some aggregations
     if aggregate:
         keys: list[str] = list(
-            set(col.split("_")[0] for col in df.columns) & {"duration", "score"}
+            {col.split("_")[0] for col in df.columns} & {"duration", "score"}
         )
         for key in keys:
             subkeys = df.columns[df.columns.str.startswith(key)]

src/quantifiedme/load/activitywatch_fake.py

@@ -1,5 +1,5 @@
 import random
-from typing import Iterable
+from collections.abc import Iterable
 from datetime import datetime, timedelta
 
 import numpy as np

src/quantifiedme/load/smartertime.py

@@ -65,7 +65,7 @@ def _load_smartertime_events(since: datetime, filepath) -> list[Event]:
 
 def read_csv_to_events(filepath):
     events = []
-    with open(filepath, "r") as f:
+    with open(filepath) as f:
         c = csv.DictReader(f)
         for r in c:
             # print(r)

src/quantifiedme/load/toggl_.py

@@ -1,5 +1,4 @@
 import logging
-from typing import List
 from datetime import datetime, timezone, timedelta
 
 try:

src/quantifiedme/timelineplot/util.py

@@ -1,4 +1,4 @@
-from typing import Tuple, TypeVar
+from typing import TypeVar
 from collections.abc import Iterable, Generator
 
 T = TypeVar("T")