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from datetime import datetime
from itertools import product
from typing import TYPE_CHECKING
import dask.dataframe as dd
import pandas as pd
import pytest
from pandera import DataFrameSchema
from generalresearch.incite.collections import DFCollection, DFCollectionType
if TYPE_CHECKING:
from generalresearch.incite.base import GRLDatasets
def combo_object():
for x in product(
[
DFCollectionType.USER,
DFCollectionType.WALL,
DFCollectionType.SESSION,
DFCollectionType.TASK_ADJUSTMENT,
DFCollectionType.AUDIT_LOG,
DFCollectionType.LEDGER,
],
["30min", "1H"],
):
yield x
@pytest.mark.parametrize(
argnames="df_collection_data_type, offset", argvalues=combo_object()
)
class TestDFCollection_thl_web:
def test_init(self, df_collection_data_type, offset: str, df_collection):
assert isinstance(df_collection_data_type, DFCollectionType)
assert isinstance(df_collection, DFCollection)
@pytest.mark.parametrize(
argnames="df_collection_data_type, offset", argvalues=combo_object()
)
class TestDFCollection_thl_web_Properties:
def test_items(self, df_collection_data_type, offset: str, df_collection):
assert isinstance(df_collection.items, list)
for i in df_collection.items:
assert i._collection == df_collection
def test__schema(self, df_collection_data_type, offset: str, df_collection):
assert isinstance(df_collection._schema, DataFrameSchema)
@pytest.mark.parametrize(
argnames="df_collection_data_type, offset", argvalues=combo_object()
)
class TestDFCollection_thl_web_BaseProperties:
@pytest.mark.skip
def test__interval_range(self, df_collection_data_type, offset: str, df_collection):
pass
def test_interval_start(self, df_collection_data_type, offset: str, df_collection):
assert isinstance(df_collection.interval_start, datetime)
def test_interval_range(self, df_collection_data_type, offset: str, df_collection):
assert isinstance(df_collection.interval_range, list)
def test_progress(self, df_collection_data_type, offset: str, df_collection):
assert isinstance(df_collection.progress, pd.DataFrame)
@pytest.mark.parametrize(
argnames="df_collection_data_type, offset", argvalues=combo_object()
)
class TestDFCollection_thl_web_Methods:
@pytest.mark.skip
def test_initial_loads(self, df_collection_data_type, df_collection, offset):
pass
@pytest.mark.skip
def test_fetch_force_rr_latest(
self, df_collection_data_type, df_collection, offset: str
):
pass
@pytest.mark.skip
def test_force_rr_latest(self, df_collection_data_type, df_collection, offset):
pass
@pytest.mark.parametrize(
argnames="df_collection_data_type, offset", argvalues=combo_object()
)
class TestDFCollection_thl_web_BaseMethods:
def test_fetch_all_paths(self, df_collection_data_type, offset: str, df_collection):
res = df_collection.fetch_all_paths(
items=None, force_rr_latest=False, include_partial=False
)
assert isinstance(res, list)
@pytest.mark.skip
def test_ddf(self, df_collection_data_type, offset: str, df_collection):
res = df_collection.ddf()
assert isinstance(res, dd.DataFrame)
# -- cleanup --
@pytest.mark.skip
def test_schedule_cleanup(
self, df_collection_data_type, offset: str, df_collection
):
pass
@pytest.mark.skip
def test_cleanup(self, df_collection_data_type, offset: str, df_collection):
pass
@pytest.mark.skip
def test_cleanup_partials(
self, df_collection_data_type, offset: str, df_collection
):
pass
@pytest.mark.skip
def test_clear_tmp_archives(
self, df_collection_data_type, offset: str, df_collection
):
pass
@pytest.mark.skip
def test_clear_corrupt_archives(
self, df_collection_data_type, offset: str, df_collection
):
pass
@pytest.mark.skip
def test_rebuild_symlinks(
self, df_collection_data_type, offset: str, df_collection
):
pass
# -- Source timing --
@pytest.mark.skip
def test_get_item(self, df_collection_data_type, offset: str, df_collection):
pass
@pytest.mark.skip
def test_get_item_start(self, df_collection_data_type, offset: str, df_collection):
pass
@pytest.mark.skip
def test_get_items(self, df_collection_data_type, offset: str, df_collection):
# If we get all the items from the start of the collection, it
# should include all the items!
res1 = df_collection.items
res2 = df_collection.get_items(since=df_collection.start)
assert len(res1) == len(res2)
@pytest.mark.skip
def test_get_items_from_year(
self, df_collection_data_type, offset: str, df_collection
):
pass
@pytest.mark.skip
def test_get_items_last90(
self, df_collection_data_type, offset: str, df_collection
):
pass
@pytest.mark.skip
def test_get_items_last365(
self, df_collection_data_type, offset: str, df_collection
):
pass
|
