Ruff

git_time_tracker/__init__.py

@@ -32,12 +32,11 @@ import sys
 from collections.abc import Iterator
 from pathlib import Path
 
-from .data import (
-    HIDDEN_LABEL_PREFIX,
-    HIDDEN_LABEL_TOTAL,
-    RealizedWorkSample,
-    WorkSample,
+from personal_data.activity import (
+    ActivitySample,
+    RealizedActivitySample,
 )
+
 from .format import cli, icalendar
 from .source import csv_file, git_repo
 
@@ -51,16 +50,16 @@ MINUTE = datetime.timedelta(minutes=1)
 
 
 def filter_samples(
-    samples: list[WorkSample],
+    samples: list[ActivitySample],
     sample_filter: set[str],
-) -> list[WorkSample]:
+) -> list[ActivitySample]:
     assert len(sample_filter) > 0
     return [s for s in samples if set(s.labels).intersection(sample_filter)]
 
 
 def heuristically_realize_samples(
-    samples: list[WorkSample],
-) -> Iterator[RealizedWorkSample]:
+    samples: list[ActivitySample],
+) -> Iterator[RealizedActivitySample]:
     """Secret sauce.
 
     Guarentees that:
@@ -87,7 +86,9 @@ def heuristically_realize_samples(
             start_at = max(previous_sample_end, end_at - estimated_duration)
             del estimated_duration
 
-        yield RealizedWorkSample(labels=sample.labels, end_at=end_at, start_at=start_at)
+        yield RealizedActivitySample(
+            labels=sample.labels, end_at=end_at, start_at=start_at,
+        )
 
         previous_sample_end = sample.end_at
         del sample
@@ -137,8 +138,8 @@ def parse_arguments():
     return parser.parse_args()
 
 
-def load_samples(args) -> set[WorkSample]:
-    shared_time_stamps_set: set[WorkSample] = set()
+def load_samples(args) -> set[ActivitySample]:
+    shared_time_stamps_set: set[ActivitySample] = set()
 
     # Git repositories
     for repo_path in args.repositories:

git_time_tracker/data.py

@@ -1,19 +0,0 @@
-import dataclasses
-import datetime
-from collections.abc import Sequence
-
-HIDDEN_LABEL_PREFIX = '__'
-HIDDEN_LABEL_TOTAL = HIDDEN_LABEL_PREFIX + 'TOTAL'
-
-
-@dataclasses.dataclass(frozen=True, order=True)
-class WorkSample:
-    labels: Sequence[str]
-    start_at: datetime.datetime | None
-    end_at: datetime.datetime | None
-
-
-@dataclasses.dataclass(frozen=True, order=True)
-class RealizedWorkSample(WorkSample):
-    start_at: datetime.datetime
-    end_at: datetime.datetime

git_time_tracker/format/cli.py

@@ -1,7 +1,7 @@
 import datetime
 from collections.abc import Iterator
 
-from ..data import HIDDEN_LABEL_PREFIX, HIDDEN_LABEL_TOTAL, RealizedWorkSample
+from personal_data.activity import HIDDEN_LABEL_CATEGORY, Label, RealizedActivitySample
 
 ZERO_DURATION = datetime.timedelta(seconds=0)
 HOUR = datetime.timedelta(hours=1)
@@ -29,18 +29,18 @@ def fmt_year_ranges(years: list[int]) -> str:
     return ''.join(list(fmt_year_ranges_internal(years)))
 
 
-def fmt_line(label_type: str, label: str, total_time: datetime.timedelta) -> str:
+def fmt_line(label: Label, total_time: datetime.timedelta) -> str:
     hours = int(total_time / HOUR)
     minutes = int((total_time - hours * HOUR) / MINUTE)
-    return f'  {label_type:10} {label:40}  {hours:-4d}h {minutes:-2d}m'
+    return f'  {label.category:10} {label.label:40}  {hours:-4d}h {minutes:-2d}m'
 
 
 def generate_report(
-    samples: list[RealizedWorkSample],
+    samples: list[RealizedActivitySample],
 ) -> Iterator[str]:
     # Time spent per label
-    time_per_label: dict[str, datetime.timedelta] = {}
-    years_per_label: dict[str, set[int]] = {}
+    time_per_label: dict[Label, datetime.timedelta] = {}
+    years_per_label: dict[Label, set[int]] = {}
     for sample in samples:
         duration = sample.end_at - sample.start_at
 
@@ -57,15 +57,13 @@ def generate_report(
     #
     yield '-' * 66
     yield '\n'
-    for total_time, label_and_type in time_and_label:
-        if label_and_type.startswith(HIDDEN_LABEL_PREFIX):
+    for total_time, label in time_and_label:
+        if label.category == HIDDEN_LABEL_CATEGORY:
             continue
 
-        label_type, label = label_and_type.split(':', 1)
-
-        yield fmt_line(label_type, label, total_time)
+        yield fmt_line(label, total_time)
         yield '  ('
-        yield fmt_year_ranges(years_per_label.get(label_and_type, []))
+        yield fmt_year_ranges(years_per_label.get(label, []))
         yield ')'
         yield '\n'
         del label, total_time
@@ -73,5 +71,6 @@ def generate_report(
     yield '-' * 66
     yield '\n'
 
-    yield fmt_line('', 'TOTAL', time_per_label.get(HIDDEN_LABEL_TOTAL, ZERO_DURATION))
+    label_total = Label(HIDDEN_LABEL_CATEGORY, 'total')
+    yield fmt_line(label_total, time_per_label.get(label_total, ZERO_DURATION))
     yield '\n'

git_time_tracker/format/icalendar.py

@@ -2,30 +2,28 @@ import datetime
 
 import icalendar
 
-from ..data import HIDDEN_LABEL_PREFIX, RealizedWorkSample
+from personal_data.activity import HIDDEN_LABEL_CATEGORY, RealizedActivitySample
 
 ZERO_DURATION = datetime.timedelta(seconds=0)
 HOUR = datetime.timedelta(hours=1)
 MINUTE = datetime.timedelta(minutes=1)
 
 
-def create_title(sample: RealizedWorkSample) -> tuple[str, str]:
+def create_title(sample: RealizedActivitySample) -> tuple[str, str]:
     ls = []
     desc = []
-    for label_and_type in sample.labels:
-        if label_and_type.startswith(HIDDEN_LABEL_PREFIX):
-            continue
-        if label_and_type.startswith('author:'):
+    for label in sample.labels:
+        if label.category in {HIDDEN_LABEL_CATEGORY, 'author'}:
             continue
         if len(ls) == 0:
-            ls.append(label_and_type.split(':')[1])
+            ls.append(label.label)
         else:
-            desc.append(label_and_type)
+            desc.append(label.label)
     return ' '.join(ls), '\n'.join(desc)
 
 
 def generate_calendar(
-    samples: list[RealizedWorkSample],
+    samples: list[RealizedActivitySample],
 ) -> icalendar.Calendar:
     max_title_parts = 2
 
@@ -44,11 +42,11 @@ def generate_calendar(
         event.add('dtstart', sample.start_at)
         event.add('dtend', sample.end_at)
 
-        for label_and_type in sample.labels:
-            if label_and_type.startswith('author:'):
+        for label in sample.labels:
+            if label.category == 'author':
                 event.add(
                     'organizer',
-                    'mailto:' + label_and_type.removeprefix('author:'),
+                    'mailto:' + label.label,
                 )
 
         cal.add_component(event)
@@ -58,7 +56,7 @@ def generate_calendar(
 
 
 def generate_icalendar_file(
-    samples: list[RealizedWorkSample],
+    samples: list[RealizedActivitySample],
     file: str,
 ) -> None:
     calendar = generate_calendar(samples)

git_time_tracker/source/csv_file.py

@@ -1,82 +1,15 @@
-import datetime
-import urllib.parse
-from typing import Any
 from collections.abc import Iterator
-from decimal import Decimal
 from pathlib import Path
-import dataclasses
+from typing import Any
 
-from personal_data.util import load_csv_file
+from personal_data.activity import ActivitySample, Label
+from personal_data.csv_import import determine_possible_keys, load_csv_file, start_end
 
-from ..data import WorkSample
 
-@dataclasses.dataclass
-class PossibleKeys:
-    time_start: list[str]
-    time_end: list[str]
-    duration: list[str]
-    name: list[str]
-    image: list[str]
-    misc: list[str]
-
-def determine_possible_keys(event_data: dict[str, Any]) -> PossibleKeys:
-    # Select data
-    time_keys = [
-        k for k, v in event_data.items() if isinstance(v, datetime.date)
-    ]
-    duration_keys = [
-        k
-        for k, v in event_data.items()
-        if isinstance(v, Decimal) and 'duration_seconds' in k
-    ]
-    name_keys = [k for k, v in event_data.items() if isinstance(v, str)]
-    image_keys = [
-        k for k, v in event_data.items() if isinstance(v, urllib.parse.ParseResult)
-    ]
-
-    misc_keys = list(event_data.keys())
-    for k in image_keys:
-        if k in misc_keys:
-            misc_keys.remove(k)
-        del k
-    for k in time_keys:
-        if k in misc_keys:
-            misc_keys.remove(k)
-        del k
-
-    time_start_keys = [k for k in time_keys if 'start' in k.lower() ]
-    time_end_keys = [k for k in time_keys if 'end' in k.lower() or 'stop' in k.lower() ]
-
-    return PossibleKeys(
-            time_start = time_start_keys,
-            time_end = time_end_keys,
-            duration = duration_keys,
-            name = name_keys,
-            image = image_keys,
-            misc = misc_keys,
-    )
-
-def start_end(sample: dict[str,Any], keys: PossibleKeys) -> tuple[datetime.datetime | None, datetime.datetime | None]:
-    if keys.time_start and keys.time_end:
-        return (sample[keys.time_start[0]], sample[keys.time_end[0]])
-
-    if keys.time_start and keys.duration:
-        start = sample[keys.time_start[0]]
-        duration = datetime.timedelta(seconds=float(sample[keys.duration[0]]))
-        return (start, start + duration)
-
-    if keys.time_start:
-        start = sample[keys.time_start[0]]
-        return (start, None)
-    if keys.time_end:
-        return (None, sample[keys.time_end[0]])
-    return (None, None)
-
-def iterate_samples_from_dicts(rows: list[dict[str,Any]]) -> Iterator[WorkSample]:
+def iterate_samples_from_dicts(rows: list[dict[str, Any]]) -> Iterator[ActivitySample]:
     assert len(rows) > 0
     max_title_parts = 2
 
-
     if True:
         event_data = rows[len(rows) // 2]  # Hopefully select a useful representative.
         possible_keys = determine_possible_keys(event_data)
@@ -86,20 +19,19 @@ def iterate_samples_from_dicts(rows: list[dict[str,Any]]) -> Iterator[WorkSample
     assert len(possible_keys.image) >= 0
 
     for event_data in rows:
-        '''
+        """
         title = ': '.join(event_data[k] for k in possible_name_keys[:max_title_parts])
         description = '\n\n'.join(
             event_data[k] for k in possible_name_keys[max_title_parts:]
         )
         image = event_data[possible_keys.image[0]] if possible_keys.image else None
-        '''
-
+        """
 
         (start_at, end_at) = start_end(event_data, possible_keys)
-        labels = [f'{k}:{event_data[k]}' for k in possible_keys.misc]
+        labels = [Label(k, event_data[k]) for k in possible_keys.misc]
 
         # Create event
-        yield WorkSample(
+        yield ActivitySample(
             labels=tuple(labels),
             start_at=start_at,
             end_at=end_at,
@@ -108,7 +40,7 @@ def iterate_samples_from_dicts(rows: list[dict[str,Any]]) -> Iterator[WorkSample
         del event_data
 
 
-def iterate_samples_from_csv_file(file_path: Path) -> Iterator[WorkSample]:
+def iterate_samples_from_csv_file(file_path: Path) -> Iterator[ActivitySample]:
     dicts = load_csv_file(file_path)
     samples = list(iterate_samples_from_dicts(dicts))
     assert len(samples) > 0, 'Did not found any samples'

git_time_tracker/source/git_repo.py

@@ -5,7 +5,7 @@ from pathlib import Path
 
 import git
 
-from ..data import HIDDEN_LABEL_TOTAL, WorkSample
+from personal_data.activity import HIDDEN_LABEL_CATEGORY, ActivitySample, Label
 
 logger = logging.getLogger(__name__)
 
@@ -25,7 +25,7 @@ def determine_project_name(repo: git.Repo) -> str:
     return Path(repo.working_tree_dir).name
 
 
-def get_samples_from_project(repo: git.Repo) -> Iterator[WorkSample]:
+def get_samples_from_project(repo: git.Repo) -> Iterator[ActivitySample]:
     project_name = determine_project_name(repo)
     assert project_name is not None
 
@@ -34,9 +34,9 @@ def get_samples_from_project(repo: git.Repo) -> Iterator[WorkSample]:
     repo.commit()
 
     for commit in repo.iter_commits(determine_default_branch(repo)):
-        labels = [HIDDEN_LABEL_TOTAL]
-        labels.append('project:' + project_name)
-        labels.append('author:' + commit.author.email)
+        labels = [Label(HIDDEN_LABEL_CATEGORY, 'total')]
+        labels.append(Label('project', project_name))
+        labels.append(Label('author', commit.author.email))
 
         authored_date = datetime.datetime.fromtimestamp(
             commit.authored_date,
@@ -47,13 +47,13 @@ def get_samples_from_project(repo: git.Repo) -> Iterator[WorkSample]:
             tz=datetime.UTC,
         )
 
-        yield WorkSample(
+        yield ActivitySample(
             labels=tuple(labels),
             start_at=None,
             end_at=authored_date,
         )
         if authored_date != committed_date:
-            yield WorkSample(
+            yield ActivitySample(
                 labels=tuple(labels),
                 start_at=None,
                 end_at=committed_date,
@@ -61,7 +61,7 @@ def get_samples_from_project(repo: git.Repo) -> Iterator[WorkSample]:
         del labels
 
 
-def iterate_samples_from_git_repository(repo_path: Path) -> Iterator[WorkSample]:
+def iterate_samples_from_git_repository(repo_path: Path) -> Iterator[ActivitySample]:
     try:
         yield from get_samples_from_project(git.Repo(repo_path))
     except git.exc.InvalidGitRepositoryError:

personal_data/activity.py

@@ -0,0 +1,29 @@
+import dataclasses
+import datetime
+from collections.abc import Sequence
+
+HIDDEN_LABEL_CATEGORY = '__'
+
+
+@dataclasses.dataclass(frozen=True, order=True)
+class Label:
+    category: str
+    label: str
+
+    def __post_init__(self):
+        assert self.category is not None
+        assert ':' not in self.category
+        assert self.label is not None
+
+
+@dataclasses.dataclass(frozen=True, order=True)
+class ActivitySample:
+    labels: Sequence[Label]
+    start_at: datetime.datetime | None
+    end_at: datetime.datetime | None
+
+
+@dataclasses.dataclass(frozen=True, order=True)
+class RealizedActivitySample(ActivitySample):
+    start_at: datetime.datetime
+    end_at: datetime.datetime

personal_data/csv_import.py

@@ -0,0 +1,150 @@
+import csv
+import dataclasses
+import datetime
+import decimal
+import typing
+import urllib.parse
+from collections.abc import Callable
+from decimal import Decimal
+from pathlib import Path
+from typing import Any
+
+from frozendict import frozendict
+
+CSV_DIALECT = 'one_true_dialect'
+csv.register_dialect(CSV_DIALECT, lineterminator='\n', skipinitialspace=True)
+
+T = typing.TypeVar('T')
+
+
+def try_value(fn: Callable[[str], T], s: str) -> T | None:
+    try:
+        return fn(s)
+    except (ValueError, decimal.InvalidOperation):
+        return None
+
+
+def csv_str_to_value(
+    s: str,
+) -> (
+    str
+    | Decimal
+    | datetime.date
+    | datetime.datetime
+    | urllib.parse.ParseResult
+    | bool
+    | None
+):
+    assert not isinstance(s, list)  # TODO?
+
+    if s is None:
+        return None
+    s = s.strip()
+    if len(s) == 0:
+        return None
+    if (v_decimal := try_value(Decimal, s)) is not None:
+        return v_decimal
+    if (v_date := try_value(datetime.date.fromisoformat, s)) is not None:
+        return v_date
+    if (v_datetime := try_value(datetime.datetime.fromisoformat, s)) is not None:
+        return v_datetime
+    if s.startswith(('http://', 'https://')):
+        return urllib.parse.urlparse(s)
+    if s.lower() == 'false':
+        return False
+    if s.lower() == 'true':
+        return True
+    if s.lower() == 'none':
+        return None
+    return s
+
+
+def load_csv_file(csv_file: Path, sniff=False) -> list[frozendict[str, typing.Any]]:
+    dicts: list[frozendict] = []
+    with open(csv_file) as csvfile:
+        if sniff:
+            dialect = csv.Sniffer().sniff(csvfile.read(1024))
+            csvfile.seek(0)
+        else:
+            dialect = CSV_DIALECT
+        reader = csv.DictReader(csvfile, dialect=dialect)
+        for row in reader:
+            for k in list(row.keys()):
+                orig = row[k]
+                row[k] = csv_str_to_value(orig)
+                if row[k] is None:
+                    del row[k]
+                del k, orig
+            dicts.append(frozendict(row))
+            del row
+        del csvfile
+    return dicts
+
+
+@dataclasses.dataclass
+class PossibleKeys:
+    time_start: list[str]
+    time_end: list[str]
+    duration: list[str]
+    name: list[str]
+    image: list[str]
+    misc: list[str]
+
+
+def determine_possible_keys(event_data: dict[str, Any]) -> PossibleKeys:
+    # Select data
+    time_keys = [k for k, v in event_data.items() if isinstance(v, datetime.date)]
+    duration_keys = [
+        k
+        for k, v in event_data.items()
+        if isinstance(v, Decimal) and 'duration_seconds' in k
+    ]
+    name_keys = [k for k, v in event_data.items() if isinstance(v, str)]
+    image_keys = [
+        k for k, v in event_data.items() if isinstance(v, urllib.parse.ParseResult)
+    ]
+
+    misc_keys = list(event_data.keys())
+    for k in image_keys:
+        if k in misc_keys:
+            misc_keys.remove(k)
+        del k
+    for k in time_keys:
+        if k in misc_keys:
+            misc_keys.remove(k)
+        del k
+
+    time_start_keys = [k for k in time_keys if 'start' in k.lower()]
+    time_end_keys = [
+        k
+        for k in time_keys
+        if 'end' in k.lower() or 'stop' in k.lower() or 'last' in k.lower()
+    ]
+
+    return PossibleKeys(
+        time_start=time_start_keys,
+        time_end=time_end_keys,
+        duration=duration_keys,
+        name=name_keys,
+        image=image_keys,
+        misc=misc_keys,
+    )
+
+
+def start_end(
+    sample: dict[str, Any], keys: PossibleKeys,
+) -> tuple[datetime.datetime | None, datetime.datetime | None]:
+    if keys.time_start and keys.time_end:
+        return (sample[keys.time_start[0]], sample[keys.time_end[0]])
+
+    if keys.time_start and keys.duration:
+        start = sample[keys.time_start[0]]
+        duration = datetime.timedelta(seconds=float(sample[keys.duration[0]]))
+        return (start, start + duration)
+
+    if keys.time_start:
+        start = sample[keys.time_start[0]]
+        return (start, None)
+    if keys.time_end:
+        return (None, sample[keys.time_end[0]])
+    return (None, None)

personal_data/util.py

@@ -1,68 +1,22 @@
 import _csv
 import csv
 import datetime
-import decimal
 import io
 import logging
 import typing
 import urllib.parse
-from collections.abc import Callable, Iterable, Mapping, Sequence
-from decimal import Decimal
+from collections.abc import Iterable, Mapping, Sequence
 from pathlib import Path
+from typing import Any
 
 from frozendict import frozendict
 
-from . import data
+from . import csv_import, data
 
 logger = logging.getLogger(__name__)
 
-CSV_DIALECT = 'one_true_dialect'
-csv.register_dialect(CSV_DIALECT, lineterminator='\n', skipinitialspace=True)
 
-T = typing.TypeVar('T')
-
-
-def try_value(fn: Callable[[str], T], s: str) -> T | None:
-    try:
-        return fn(s)
-    except (ValueError, decimal.InvalidOperation):
-        return None
-
-
-def csv_str_to_value(
-    s: str,
-) -> (
-    str
-    | Decimal
-    | datetime.date
-    | datetime.datetime
-    | urllib.parse.ParseResult
-    | bool
-    | None
-):
-    if s is None:
-        return None
-    s = s.strip()
-    if len(s) == 0:
-        return None
-    if (v_decimal := try_value(Decimal, s)) is not None:
-        return v_decimal
-    if (v_date := try_value(datetime.date.fromisoformat, s)) is not None:
-        return v_date
-    if (v_datetime := try_value(datetime.datetime.fromisoformat, s)) is not None:
-        return v_datetime
-    if s.startswith(('http://', 'https://')):
-        return urllib.parse.urlparse(s)
-    if s.lower() == 'false':
-        return False
-    if s.lower() == 'true':
-        return True
-    if s.lower() == 'none':
-        return None
-    return s
-
-
-def csv_safe_value(v: object) -> str:
+def csv_safe_value(v: Any) -> str:
     if isinstance(v, urllib.parse.ParseResult):
         return v.geturl()
     if isinstance(v, datetime.datetime):
@@ -145,32 +99,13 @@ def deduplicate_dicts(
 def normalize_dict(d: dict[str, typing.Any]) -> frozendict[str, typing.Any]:
     return frozendict(
         {
-            k: csv_str_to_value(str(v))
+            k: csv_import.csv_str_to_value(str(v))
             for k, v in d.items()
-            if csv_str_to_value(str(v)) is not None
+            if csv_import.csv_str_to_value(str(v)) is not None
         },
     )
 
 
-def load_csv_file(csv_file: Path) -> list[frozendict[str, typing.Any]]:
-    dicts: list[frozendict] = []
-    with open(csv_file) as csvfile:
-        dialect = csv.Sniffer().sniff(csvfile.read(1024))
-        csvfile.seek(0)
-        reader = csv.DictReader(csvfile, dialect=dialect)
-        for row in reader:
-            for k in list(row.keys()):
-                orig = row[k]
-                row[k] = csv_str_to_value(orig)
-                if row[k] is None:
-                    del row[k]
-                del k, orig
-            dicts.append(frozendict(row))
-            del row
-        del csvfile
-    return dicts
-
-
 def extend_csv_file(
     csv_file: Path,
     new_dicts: list[dict[str, typing.Any]],
@@ -180,7 +115,7 @@ def extend_csv_file(
     assert isinstance(deduplicate_ignore_columns, list), deduplicate_ignore_columns
 
     try:
-        dicts = load_csv_file(csv_file)
+        dicts = csv_import.load_csv_file(csv_file)
     except (FileNotFoundError, _csv.Error) as e:
         logger.info('Creating file: %s', csv_file)
         dicts = []
@@ -199,7 +134,7 @@ def extend_csv_file(
     writer = csv.DictWriter(
         csvfile_in_memory,
         fieldnames=fieldnames,
-        dialect=CSV_DIALECT,
+        dialect=csv_import.CSV_DIALECT,
     )
     writer.writeheader()
     for d in dicts:

test/test_csv_import.py

@@ -0,0 +1,24 @@
+import datetime
+
+import frozendict
+
+from personal_data.csv_import import determine_possible_keys
+
+
+def test_determine_possible_keys():
+    data = frozendict.frozendict(
+        {
+            'game.name': 'Halo',
+            'me.last_played_time': datetime.datetime(
+                2021, 6, 13, 19, 12, 21, tzinfo=datetime.timezone.utc,
+            ),
+            'trophy.name': 'Test',
+            'trophy.desc': 'Description',
+        },
+    )
+    keys = determine_possible_keys(data)
+
+    assert keys.time_start == []
+    assert keys.time_end == ['me.last_played_time']
+    assert keys.duration == []
+    assert len(keys.name) == 3

test/test_parsing.py

@@ -3,13 +3,37 @@ from decimal import Decimal
 
 import pytest
 
-from personal_data.util import csv_str_to_value
+from personal_data.csv_import import csv_str_to_value
 
 PARSE_MAPPINGS = [
     (
         '2024-04-28 21:35:40+00:00',
         datetime.datetime(2024, 4, 28, 21, 35, 40, tzinfo=datetime.UTC),
     ),
+    (
+        '2024-07-06 19:30:11+02:00',
+        datetime.datetime(
+            2024,
+            7,
+            6,
+            19,
+            30,
+            11,
+            tzinfo=datetime.timezone(datetime.timedelta(seconds=7200)),
+        ),
+    ),
+    (
+        '2023-10-21 11:43:27+02:00',
+        datetime.datetime(
+            2023,
+            10,
+            21,
+            11,
+            43,
+            27,
+            tzinfo=datetime.timezone(datetime.timedelta(seconds=7200)),
+        ),
+    ),
     (
         '0003791e9f5f3691b8bbbe0d12a7ae9c3f2e89db38',
         '0003791e9f5f3691b8bbbe0d12a7ae9c3f2e89db38',