150 lines
4.3 KiB
Python
150 lines
4.3 KiB
Python
import shutil
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from pathlib import Path
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import pytest
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from plesna.dataplatform import DataPlateform
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from plesna.graph.graph import Node
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from plesna.models.flux import Flux
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from plesna.models.transformation import Transformation
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from plesna.storage.repository.fs_repository import FSRepository
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FIXTURE_DIR = Path(__file__).parent.parent / Path("raw_datas")
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@pytest.fixture
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def repository(tmp_path) -> FSRepository:
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example_src = FIXTURE_DIR
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assert example_src.exists()
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raw_path = Path(tmp_path) / "raw"
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shutil.copytree(src=example_src.absolute(), dst=raw_path.absolute())
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bronze_path = Path(tmp_path) / "bronze"
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bronze_path.mkdir()
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silver_path = Path(tmp_path) / "silver"
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silver_path.mkdir()
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return FSRepository("test", "test", tmp_path)
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def test_add_repository(
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repository: FSRepository,
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):
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dp = DataPlateform()
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dp.add_repository(repository)
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assert dp.repositories == ["test"]
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assert dp.repository("test") == repository
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@pytest.fixture
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def copy_flux(repository: FSRepository) -> Flux:
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raw_username = [repository.table("test-raw-username")]
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bronze_username = [repository.table("test-bronze-username")]
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def copy(sources, targets):
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src_path = Path(sources["test-raw-username"].datas[0])
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tgt_path = Path(targets["test-bronze-username"].datas[0])
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shutil.copy(src_path, tgt_path)
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return {"src_size": src_path.stat().st_size, "tgt_size": tgt_path.stat().st_size}
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extra_kwrds = {}
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raw_brz_copy_username = Flux(
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sources=raw_username,
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targets=bronze_username,
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transformation=Transformation(function=copy, extra_kwrds=extra_kwrds),
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)
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return raw_brz_copy_username
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@pytest.fixture
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def foo_flux(repository: FSRepository) -> Flux:
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src = [
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repository.table("test-raw-username"),
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repository.table("test-raw-recovery"),
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]
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targets = [repository.table("test-bronze-foo")]
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def foo(sources, targets):
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return {"who": "foo"}
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extra_kwrds = {}
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flux = Flux(
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sources=src,
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targets=targets,
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transformation=Transformation(function=foo, extra_kwrds=extra_kwrds),
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)
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return flux
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def test_add_flux(repository: FSRepository, copy_flux: Flux):
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dataplatform = DataPlateform()
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dataplatform.add_repository(repository)
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dataplatform.add_flux(name="copy_flux", flux=copy_flux)
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assert dataplatform.fluxes == ["copy_flux"]
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dataplatform.add_flux(name="copy_flux_bis", flux=copy_flux)
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assert dataplatform.fluxes == ["copy_flux", "copy_flux_bis"]
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assert dataplatform.flux("copy_flux") == copy_flux
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assert dataplatform.flux("copy_flux_bis") == copy_flux
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@pytest.fixture
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def dataplatform(
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repository: FSRepository,
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foo_flux: Flux,
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copy_flux: Flux,
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) -> DataPlateform:
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dp = DataPlateform()
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dp.add_repository(repository)
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dp.add_flux("foo", foo_flux)
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dp.add_flux("raw_brz_copy_username", copy_flux)
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return dp
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def test_listing_content(dataplatform: DataPlateform):
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assert dataplatform.repository("test").schemas() == ["test-raw", "test-bronze", "test-silver"]
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assert dataplatform.repository("test").schema("test-raw").tables == [
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"test-raw-username",
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"test-raw-recovery",
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"test-raw-salary",
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]
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assert dataplatform.repository("test").table("test-raw-username").partitions == ["username.csv"]
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assert dataplatform.repository("test").table("test-raw-recovery").partitions == [
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"2022.csv",
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"2023.csv",
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"2024.csv",
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]
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def test_content_from_graph(dataplatform: DataPlateform):
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assert dataplatform.graph.nodes == {
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Node(name="test-raw-recovery", infos={}),
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Node(name="test-raw-salary", infos={}),
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Node(name="test-raw-username", infos={}),
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}
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assert dataplatform.graphset.node_sets == {
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Node(name="test-raw-username", infos={}),
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Node(name="test-bronze-username", infos={}),
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}
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def test_execute_flux(dataplatform: DataPlateform):
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meta = dataplatform.execute_flux("foo")
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assert meta.data == {"who": "foo"}
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assert dataplatform.repository("test").schema("test-bronze").tables == []
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meta = dataplatform.execute_flux("raw_brz_copy_username")
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assert meta.data == {"src_size": 283, "tgt_size": 283}
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assert dataplatform.repository("test").schema("test-bronze").tables == ["test-bronze-username"]
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