mirror of
https://github.com/bitcoinresearchkit/brk.git
synced 2026-07-25 09:48:10 -07:00
global: reorg fixes + clients improved
This commit is contained in:
nym21
@@ -3,11 +3,16 @@
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from __future__ import annotations
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from dataclasses import dataclass
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from typing import TypeVar, Generic, Any, Optional, List, Literal, TypedDict, Union, Protocol, overload
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from typing import TypeVar, Generic, Any, Optional, List, Literal, TypedDict, Union, Protocol, overload, Iterator, Tuple, TYPE_CHECKING
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from http.client import HTTPSConnection, HTTPConnection
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from urllib.parse import urlparse
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from datetime import date, timedelta
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import json
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if TYPE_CHECKING:
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import pandas as pd # type: ignore[import-not-found]
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import polars as pl # type: ignore[import-not-found]
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T = TypeVar('T')
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# Type definitions
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@@ -1043,16 +1048,114 @@ def _p(prefix: str, acc: str) -> str:
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return f"{prefix}_{acc}" if acc else prefix
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# Date conversion constants
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_GENESIS = date(2009, 1, 3) # dateindex 0, weekindex 0
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_DAY_ONE = date(2009, 1, 9) # dateindex 1 (6 day gap after genesis)
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_DATE_INDEXES = frozenset(['dateindex', 'weekindex', 'monthindex', 'yearindex', 'quarterindex', 'semesterindex', 'decadeindex'])
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def is_date_index(index: str) -> bool:
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"""Check if an index type is date-based."""
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return index in _DATE_INDEXES
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def index_to_date(index: str, i: int) -> date:
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"""Convert an index value to a date for date-based indexes."""
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if index == 'dateindex':
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return _GENESIS if i == 0 else _DAY_ONE + timedelta(days=i - 1)
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elif index == 'weekindex':
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return _GENESIS + timedelta(weeks=i)
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elif index == 'monthindex':
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return date(2009 + i // 12, i % 12 + 1, 1)
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elif index == 'yearindex':
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return date(2009 + i, 1, 1)
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elif index == 'quarterindex':
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m = i * 3
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return date(2009 + m // 12, m % 12 + 1, 1)
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elif index == 'semesterindex':
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m = i * 6
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return date(2009 + m // 12, m % 12 + 1, 1)
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elif index == 'decadeindex':
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return date(2009 + i * 10, 1, 1)
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else:
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raise ValueError(f"{index} is not a date-based index")
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@dataclass
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class MetricData(Generic[T]):
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"""Metric data with range information."""
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version: int
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index: Index
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total: int
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start: int
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end: int
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stamp: str
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data: List[T]
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def dates(self) -> List[date]:
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"""Convert index range to dates. Only works for date-based indexes."""
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return [index_to_date(self.index, i) for i in range(self.start, self.end)]
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def indexes(self) -> List[int]:
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"""Get index range as list."""
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return list(range(self.start, self.end))
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def to_date_dict(self) -> dict[date, T]:
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"""Return data as {date: value} dict. Only works for date-based indexes."""
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return dict(zip(self.dates(), self.data))
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def to_index_dict(self) -> dict[int, T]:
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"""Return data as {index: value} dict."""
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return dict(zip(range(self.start, self.end), self.data))
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def date_items(self) -> List[Tuple[date, T]]:
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"""Return data as [(date, value), ...] pairs. Only works for date-based indexes."""
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return list(zip(self.dates(), self.data))
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def index_items(self) -> List[Tuple[int, T]]:
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"""Return data as [(index, value), ...] pairs."""
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return list(zip(range(self.start, self.end), self.data))
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def iter(self) -> Iterator[Tuple[int, T]]:
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"""Iterate over (index, value) pairs."""
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return iter(zip(range(self.start, self.end), self.data))
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def iter_dates(self) -> Iterator[Tuple[date, T]]:
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"""Iterate over (date, value) pairs. Date-based indexes only."""
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return iter(zip(self.dates(), self.data))
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def __iter__(self) -> Iterator[Tuple[int, T]]:
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"""Default iteration over (index, value) pairs."""
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return self.iter()
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def to_polars(self, with_dates: bool = True) -> pl.DataFrame:
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"""Convert to Polars DataFrame. Requires polars to be installed.
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Returns a DataFrame with columns:
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- 'date' (date) and 'value' (T) if with_dates=True and index is date-based
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- 'index' (int) and 'value' (T) otherwise
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"""
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try:
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import polars as pl # type: ignore[import-not-found]
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except ImportError:
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raise ImportError("polars is required: pip install polars")
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if with_dates and self.index in _DATE_INDEXES:
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return pl.DataFrame({"date": self.dates(), "value": self.data})
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return pl.DataFrame({"index": list(range(self.start, self.end)), "value": self.data})
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def to_pandas(self, with_dates: bool = True) -> pd.DataFrame:
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"""Convert to Pandas DataFrame. Requires pandas to be installed.
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Returns a DataFrame with columns:
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- 'date' (date) and 'value' (T) if with_dates=True and index is date-based
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- 'index' (int) and 'value' (T) otherwise
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"""
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try:
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import pandas as pd # type: ignore[import-not-found]
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except ImportError:
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raise ImportError("pandas is required: pip install pandas")
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if with_dates and self.index in _DATE_INDEXES:
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return pd.DataFrame({"date": self.dates(), "value": self.data})
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return pd.DataFrame({"index": list(range(self.start, self.end)), "value": self.data})
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# Type alias for non-generic usage
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AnyMetricData = MetricData[Any]
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@@ -1089,9 +1192,8 @@ class _EndpointConfig:
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p = self.path()
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return f"{p}?{query}" if query else p
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def get_json(self) -> MetricData:
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data = self.client.get_json(self._build_path())
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return MetricData(**data)
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def get_metric(self) -> MetricData:
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return MetricData(**self.client.get_json(self._build_path()))
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def get_csv(self) -> str:
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return self.client.get_text(self._build_path(format='csv'))
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@@ -1105,7 +1207,7 @@ class RangeBuilder(Generic[T]):
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def fetch(self) -> MetricData[T]:
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"""Fetch the range as parsed JSON."""
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return self._config.get_json()
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return self._config.get_metric()
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def fetch_csv(self) -> str:
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"""Fetch the range as CSV string."""
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@@ -1120,7 +1222,7 @@ class SingleItemBuilder(Generic[T]):
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def fetch(self) -> MetricData[T]:
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"""Fetch the single item."""
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return self._config.get_json()
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return self._config.get_metric()
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def fetch_csv(self) -> str:
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"""Fetch as CSV."""
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@@ -1143,7 +1245,7 @@ class SkippedBuilder(Generic[T]):
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def fetch(self) -> MetricData[T]:
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"""Fetch from skipped position to end."""
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return self._config.get_json()
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return self._config.get_metric()
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def fetch_csv(self) -> str:
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"""Fetch as CSV."""
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@@ -1227,7 +1329,7 @@ class MetricEndpointBuilder(Generic[T]):
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def fetch(self) -> MetricData[T]:
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"""Fetch all data as parsed JSON."""
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return self._config.get_json()
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return self._config.get_metric()
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def fetch_csv(self) -> str:
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"""Fetch all data as CSV string."""
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@@ -4958,6 +5060,14 @@ class BrkClient(BrkClientBase):
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"""
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return MetricEndpointBuilder(self, metric, index)
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def index_to_date(self, index: Index, i: int) -> date:
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"""Convert an index value to a date for date-based indexes."""
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return index_to_date(index, i)
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def is_date_index(self, index: Index) -> bool:
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"""Check if an index type is date-based."""
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return is_date_index(index)
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def get_api(self) -> Any:
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"""Compact OpenAPI specification.
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@@ -25,6 +25,8 @@ Repository = "https://github.com/bitcoinresearchkit/brk"
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[dependency-groups]
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dev = [
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"pandas>=2.3.3",
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"polars>=1.36.1",
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"pydoc-markdown>=4.8.2",
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"pytest",
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]
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@@ -0,0 +1,340 @@
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# Tests for MetricData helper methods including polars/pandas conversion
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# Run: uv run pytest tests/test_metric_data.py -v
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from datetime import date
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import pytest
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from brk_client import MetricData, index_to_date, is_date_index
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# Test data fixtures
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@pytest.fixture
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def date_based_metric():
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"""MetricData with dateindex (date-based)."""
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return MetricData(
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version=1,
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index="dateindex",
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total=100,
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start=0,
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end=5,
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stamp="2024-01-01T00:00:00Z",
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data=[100, 200, 300, 400, 500],
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)
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@pytest.fixture
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def height_based_metric():
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"""MetricData with height (non-date-based)."""
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return MetricData(
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version=1,
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index="height",
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total=1000,
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start=800000,
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end=800005,
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stamp="2024-01-01T00:00:00Z",
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data=[1.5, 2.5, 3.5, 4.5, 5.5],
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)
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@pytest.fixture
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def month_based_metric():
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"""MetricData with monthindex."""
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return MetricData(
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version=1,
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index="monthindex",
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total=200,
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start=0,
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end=3,
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stamp="2024-01-01T00:00:00Z",
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data=[1000, 2000, 3000],
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)
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# ============ Date conversion tests ============
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class TestIndexToDate:
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"""Test the index_to_date function."""
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def test_dateindex_zero(self):
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"""DateIndex 0 is genesis: Jan 3, 2009."""
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assert index_to_date("dateindex", 0) == date(2009, 1, 3)
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def test_dateindex_one(self):
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"""DateIndex 1 is Jan 9, 2009 (6 day gap after genesis)."""
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assert index_to_date("dateindex", 1) == date(2009, 1, 9)
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def test_dateindex_two(self):
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"""DateIndex 2 is Jan 10, 2009."""
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assert index_to_date("dateindex", 2) == date(2009, 1, 10)
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def test_weekindex_zero(self):
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"""WeekIndex 0 is genesis: Jan 3, 2009."""
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assert index_to_date("weekindex", 0) == date(2009, 1, 3)
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def test_weekindex_one(self):
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"""WeekIndex 1 is Jan 10, 2009 (one week after genesis)."""
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assert index_to_date("weekindex", 1) == date(2009, 1, 10)
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def test_monthindex_zero(self):
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"""MonthIndex 0 is Jan 1, 2009."""
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assert index_to_date("monthindex", 0) == date(2009, 1, 1)
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def test_monthindex_one(self):
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"""MonthIndex 1 is Feb 1, 2009."""
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assert index_to_date("monthindex", 1) == date(2009, 2, 1)
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def test_monthindex_twelve(self):
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"""MonthIndex 12 is Jan 1, 2010."""
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assert index_to_date("monthindex", 12) == date(2010, 1, 1)
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def test_yearindex_zero(self):
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"""YearIndex 0 is Jan 1, 2009."""
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assert index_to_date("yearindex", 0) == date(2009, 1, 1)
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def test_yearindex_one(self):
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"""YearIndex 1 is Jan 1, 2010."""
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assert index_to_date("yearindex", 1) == date(2010, 1, 1)
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def test_quarterindex_zero(self):
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"""QuarterIndex 0 is Q1 2009: Jan 1, 2009."""
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assert index_to_date("quarterindex", 0) == date(2009, 1, 1)
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def test_quarterindex_one(self):
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"""QuarterIndex 1 is Q2 2009: Apr 1, 2009."""
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assert index_to_date("quarterindex", 1) == date(2009, 4, 1)
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def test_quarterindex_four(self):
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"""QuarterIndex 4 is Q1 2010: Jan 1, 2010."""
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assert index_to_date("quarterindex", 4) == date(2010, 1, 1)
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def test_semesterindex_zero(self):
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"""SemesterIndex 0 is H1 2009: Jan 1, 2009."""
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assert index_to_date("semesterindex", 0) == date(2009, 1, 1)
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def test_semesterindex_one(self):
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"""SemesterIndex 1 is H2 2009: Jul 1, 2009."""
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assert index_to_date("semesterindex", 1) == date(2009, 7, 1)
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def test_semesterindex_two(self):
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"""SemesterIndex 2 is H1 2010: Jan 1, 2010."""
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assert index_to_date("semesterindex", 2) == date(2010, 1, 1)
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def test_decadeindex_zero(self):
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"""DecadeIndex 0 is 2009: Jan 1, 2009."""
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assert index_to_date("decadeindex", 0) == date(2009, 1, 1)
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def test_decadeindex_one(self):
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"""DecadeIndex 1 is 2019: Jan 1, 2019."""
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assert index_to_date("decadeindex", 1) == date(2019, 1, 1)
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def test_invalid_index_raises(self):
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"""Non-date-based index raises ValueError."""
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with pytest.raises(ValueError):
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index_to_date("height", 0)
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class TestIsDateIndex:
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"""Test the is_date_index function."""
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def test_dateindex_is_date_based(self):
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assert is_date_index("dateindex") is True
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def test_weekindex_is_date_based(self):
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assert is_date_index("weekindex") is True
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def test_monthindex_is_date_based(self):
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assert is_date_index("monthindex") is True
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def test_yearindex_is_date_based(self):
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assert is_date_index("yearindex") is True
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def test_quarterindex_is_date_based(self):
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assert is_date_index("quarterindex") is True
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def test_semesterindex_is_date_based(self):
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assert is_date_index("semesterindex") is True
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def test_decadeindex_is_date_based(self):
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assert is_date_index("decadeindex") is True
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def test_height_is_not_date_based(self):
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assert is_date_index("height") is False
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def test_txindex_is_not_date_based(self):
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assert is_date_index("txindex") is False
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# ============ MetricData helper method tests ============
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class TestMetricDataHelpers:
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"""Test MetricData helper methods."""
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def test_indexes_returns_range(self, date_based_metric):
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"""indexes() returns list of index values."""
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assert date_based_metric.indexes() == [0, 1, 2, 3, 4]
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def test_indexes_with_offset(self, height_based_metric):
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"""indexes() respects start/end offsets."""
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assert height_based_metric.indexes() == [800000, 800001, 800002, 800003, 800004]
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def test_dates_for_dateindex(self, date_based_metric):
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"""dates() returns correct dates for dateindex."""
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dates = date_based_metric.dates()
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assert dates[0] == date(2009, 1, 3) # dateindex 0 = genesis
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assert dates[1] == date(2009, 1, 9) # dateindex 1 = day one
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assert dates[2] == date(2009, 1, 10) # dateindex 2
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def test_dates_for_monthindex(self, month_based_metric):
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"""dates() returns correct dates for monthindex."""
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dates = month_based_metric.dates()
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assert dates[0] == date(2009, 1, 1)
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assert dates[1] == date(2009, 2, 1)
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assert dates[2] == date(2009, 3, 1)
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def test_to_index_dict(self, date_based_metric):
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"""to_index_dict() returns {index: value} mapping."""
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d = date_based_metric.to_index_dict()
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assert d[0] == 100
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assert d[1] == 200
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assert d[4] == 500
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def test_to_date_dict(self, date_based_metric):
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"""to_date_dict() returns {date: value} mapping."""
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d = date_based_metric.to_date_dict()
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assert d[date(2009, 1, 3)] == 100 # genesis
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assert d[date(2009, 1, 9)] == 200 # day one
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def test_index_items(self, date_based_metric):
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"""index_items() returns [(index, value), ...] pairs."""
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items = date_based_metric.index_items()
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assert items[0] == (0, 100)
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assert items[4] == (4, 500)
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def test_date_items(self, date_based_metric):
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"""date_items() returns [(date, value), ...] pairs."""
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items = date_based_metric.date_items()
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assert items[0] == (date(2009, 1, 3), 100)
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assert items[1] == (date(2009, 1, 9), 200)
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def test_iter(self, date_based_metric):
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"""iter() yields (index, value) pairs."""
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result = list(date_based_metric.iter())
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assert result == [(0, 100), (1, 200), (2, 300), (3, 400), (4, 500)]
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def test_iter_dates(self, date_based_metric):
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"""iter_dates() yields (date, value) pairs."""
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result = list(date_based_metric.iter_dates())
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assert result[0] == (date(2009, 1, 3), 100)
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assert result[1] == (date(2009, 1, 9), 200)
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||||
def test_default_iteration(self, date_based_metric):
|
||||
"""Default iteration uses iter()."""
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||||
result = list(date_based_metric)
|
||||
assert result == [(0, 100), (1, 200), (2, 300), (3, 400), (4, 500)]
|
||||
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||||
|
||||
# ============ Polars tests ============
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||||
|
||||
class TestPolarsConversion:
|
||||
"""Test MetricData.to_polars() conversion."""
|
||||
|
||||
@pytest.fixture(autouse=True)
|
||||
def check_polars(self):
|
||||
"""Skip if polars not installed."""
|
||||
pytest.importorskip("polars")
|
||||
|
||||
def test_to_polars_with_dates(self, date_based_metric):
|
||||
"""to_polars() includes date column for date-based index."""
|
||||
import polars as pl
|
||||
|
||||
df = date_based_metric.to_polars()
|
||||
assert isinstance(df, pl.DataFrame)
|
||||
assert "date" in df.columns
|
||||
assert "value" in df.columns
|
||||
assert len(df) == 5
|
||||
assert df["value"].to_list() == [100, 200, 300, 400, 500]
|
||||
|
||||
def test_to_polars_without_dates(self, date_based_metric):
|
||||
"""to_polars(with_dates=False) uses index column."""
|
||||
import polars as pl
|
||||
|
||||
df = date_based_metric.to_polars(with_dates=False)
|
||||
assert "index" in df.columns
|
||||
assert "date" not in df.columns
|
||||
assert df["index"].to_list() == [0, 1, 2, 3, 4]
|
||||
|
||||
def test_to_polars_non_date_index(self, height_based_metric):
|
||||
"""to_polars() uses index column for non-date-based index."""
|
||||
import polars as pl
|
||||
|
||||
df = height_based_metric.to_polars()
|
||||
assert "index" in df.columns
|
||||
assert "date" not in df.columns
|
||||
assert df["index"].to_list() == [800000, 800001, 800002, 800003, 800004]
|
||||
assert df["value"].to_list() == [1.5, 2.5, 3.5, 4.5, 5.5]
|
||||
|
||||
def test_to_polars_monthindex(self, month_based_metric):
|
||||
"""to_polars() works with monthindex."""
|
||||
import polars as pl
|
||||
|
||||
df = month_based_metric.to_polars()
|
||||
assert "date" in df.columns
|
||||
assert len(df) == 3
|
||||
# Polars stores dates as date type
|
||||
dates = df["date"].to_list()
|
||||
assert dates[0] == date(2009, 1, 1)
|
||||
assert dates[1] == date(2009, 2, 1)
|
||||
assert dates[2] == date(2009, 3, 1)
|
||||
|
||||
|
||||
# ============ Pandas tests ============
|
||||
|
||||
class TestPandasConversion:
|
||||
"""Test MetricData.to_pandas() conversion."""
|
||||
|
||||
@pytest.fixture(autouse=True)
|
||||
def check_pandas(self):
|
||||
"""Skip if pandas not installed."""
|
||||
pytest.importorskip("pandas")
|
||||
|
||||
def test_to_pandas_with_dates(self, date_based_metric):
|
||||
"""to_pandas() includes date column for date-based index."""
|
||||
import pandas as pd
|
||||
|
||||
df = date_based_metric.to_pandas()
|
||||
assert isinstance(df, pd.DataFrame)
|
||||
assert "date" in df.columns
|
||||
assert "value" in df.columns
|
||||
assert len(df) == 5
|
||||
assert df["value"].tolist() == [100, 200, 300, 400, 500]
|
||||
|
||||
def test_to_pandas_without_dates(self, date_based_metric):
|
||||
"""to_pandas(with_dates=False) uses index column."""
|
||||
import pandas as pd
|
||||
|
||||
df = date_based_metric.to_pandas(with_dates=False)
|
||||
assert "index" in df.columns
|
||||
assert "date" not in df.columns
|
||||
assert df["index"].tolist() == [0, 1, 2, 3, 4]
|
||||
|
||||
def test_to_pandas_non_date_index(self, height_based_metric):
|
||||
"""to_pandas() uses index column for non-date-based index."""
|
||||
import pandas as pd
|
||||
|
||||
df = height_based_metric.to_pandas()
|
||||
assert "index" in df.columns
|
||||
assert "date" not in df.columns
|
||||
assert df["index"].tolist() == [800000, 800001, 800002, 800003, 800004]
|
||||
assert df["value"].tolist() == [1.5, 2.5, 3.5, 4.5, 5.5]
|
||||
|
||||
def test_to_pandas_monthindex(self, month_based_metric):
|
||||
"""to_pandas() works with monthindex."""
|
||||
import pandas as pd
|
||||
|
||||
df = month_based_metric.to_pandas()
|
||||
assert "date" in df.columns
|
||||
assert len(df) == 3
|
||||
dates = df["date"].tolist()
|
||||
assert dates[0] == date(2009, 1, 1)
|
||||
assert dates[1] == date(2009, 2, 1)
|
||||
assert dates[2] == date(2009, 3, 1)
|
||||
Generated
+508
-7
@@ -2,7 +2,13 @@ version = 1
|
||||
revision = 3
|
||||
requires-python = ">=3.9"
|
||||
resolution-markers = [
|
||||
"python_full_version >= '3.10'",
|
||||
"python_full_version >= '3.14' and sys_platform == 'win32'",
|
||||
"python_full_version >= '3.14' and sys_platform == 'emscripten'",
|
||||
"python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'",
|
||||
"python_full_version >= '3.11' and python_full_version < '3.14' and sys_platform == 'win32'",
|
||||
"python_full_version >= '3.11' and python_full_version < '3.14' and sys_platform == 'emscripten'",
|
||||
"python_full_version >= '3.11' and python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'",
|
||||
"python_full_version == '3.10.*'",
|
||||
"python_full_version < '3.10'",
|
||||
]
|
||||
|
||||
@@ -44,11 +50,15 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "brk-client"
|
||||
version = "0.1.0b1"
|
||||
version = "0.1.1"
|
||||
source = { editable = "." }
|
||||
|
||||
[package.dev-dependencies]
|
||||
dev = [
|
||||
{ name = "pandas", version = "2.3.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" },
|
||||
{ name = "pandas", version = "3.0.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
|
||||
{ name = "polars", version = "1.36.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" },
|
||||
{ name = "polars", version = "1.37.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10'" },
|
||||
{ name = "pydoc-markdown" },
|
||||
{ name = "pytest", version = "8.4.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" },
|
||||
{ name = "pytest", version = "9.0.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10'" },
|
||||
@@ -58,6 +68,8 @@ dev = [
|
||||
|
||||
[package.metadata.requires-dev]
|
||||
dev = [
|
||||
{ name = "pandas", specifier = ">=2.3.3" },
|
||||
{ name = "polars", specifier = ">=1.36.1" },
|
||||
{ name = "pydoc-markdown", specifier = ">=4.8.2" },
|
||||
{ name = "pytest" },
|
||||
]
|
||||
@@ -196,7 +208,13 @@ name = "click"
|
||||
version = "8.3.1"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
resolution-markers = [
|
||||
"python_full_version >= '3.10'",
|
||||
"python_full_version >= '3.14' and sys_platform == 'win32'",
|
||||
"python_full_version >= '3.14' and sys_platform == 'emscripten'",
|
||||
"python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'",
|
||||
"python_full_version >= '3.11' and python_full_version < '3.14' and sys_platform == 'win32'",
|
||||
"python_full_version >= '3.11' and python_full_version < '3.14' and sys_platform == 'emscripten'",
|
||||
"python_full_version >= '3.11' and python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'",
|
||||
"python_full_version == '3.10.*'",
|
||||
]
|
||||
dependencies = [
|
||||
{ name = "colorama", marker = "python_full_version >= '3.10' and sys_platform == 'win32'" },
|
||||
@@ -307,7 +325,7 @@ name = "exceptiongroup"
|
||||
version = "1.3.1"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "typing-extensions", marker = "python_full_version < '3.13'" },
|
||||
{ name = "typing-extensions", marker = "python_full_version < '3.11'" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/50/79/66800aadf48771f6b62f7eb014e352e5d06856655206165d775e675a02c9/exceptiongroup-1.3.1.tar.gz", hash = "sha256:8b412432c6055b0b7d14c310000ae93352ed6754f70fa8f7c34141f91c4e3219", size = 30371, upload-time = "2025-11-21T23:01:54.787Z" }
|
||||
wheels = [
|
||||
@@ -340,7 +358,13 @@ name = "iniconfig"
|
||||
version = "2.3.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
resolution-markers = [
|
||||
"python_full_version >= '3.10'",
|
||||
"python_full_version >= '3.14' and sys_platform == 'win32'",
|
||||
"python_full_version >= '3.14' and sys_platform == 'emscripten'",
|
||||
"python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'",
|
||||
"python_full_version >= '3.11' and python_full_version < '3.14' and sys_platform == 'win32'",
|
||||
"python_full_version >= '3.11' and python_full_version < '3.14' and sys_platform == 'emscripten'",
|
||||
"python_full_version >= '3.11' and python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'",
|
||||
"python_full_version == '3.10.*'",
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/72/34/14ca021ce8e5dfedc35312d08ba8bf51fdd999c576889fc2c24cb97f4f10/iniconfig-2.3.0.tar.gz", hash = "sha256:c76315c77db068650d49c5b56314774a7804df16fee4402c1f19d6d15d8c4730", size = 20503, upload-time = "2025-10-18T21:55:43.219Z" }
|
||||
wheels = [
|
||||
@@ -495,6 +519,213 @@ wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/ba/58/eab08df9dbd69d9e21fc5e7be6f67454f386336ec71e6b64e378a2dddea4/nr.util-0.8.12-py3-none-any.whl", hash = "sha256:91da02ac9795eb8e015372275c1efe54bac9051231ee9b0e7e6f96b0b4e7d2bb", size = 90319, upload-time = "2022-06-20T13:29:27.312Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "numpy"
|
||||
version = "2.0.2"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
resolution-markers = [
|
||||
"python_full_version < '3.10'",
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/a9/75/10dd1f8116a8b796cb2c737b674e02d02e80454bda953fa7e65d8c12b016/numpy-2.0.2.tar.gz", hash = "sha256:883c987dee1880e2a864ab0dc9892292582510604156762362d9326444636e78", size = 18902015, upload-time = "2024-08-26T20:19:40.945Z" }
|
||||
wheels = [
|
||||
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||||
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||||
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||||
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||||
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Reference in New Issue
Block a user