Feat: add flux in dataplatform
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beb9fd5465
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@ -1,4 +1,5 @@
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from plesna.graph.graph_set import GraphSet
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from plesna.graph.graph_set import GraphSet
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from plesna.models.flux import Flux
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from plesna.storage.repository.repository import Repository
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from plesna.storage.repository.repository import Repository
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@ -10,14 +11,15 @@ class DataPlateform:
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def __init__(self):
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def __init__(self):
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self._graphset = GraphSet()
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self._graphset = GraphSet()
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self._metadata_engine = ""
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self._metadata_engine = ""
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self._transformations = {}
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self._fluxes = {}
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self._repositories = {}
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self._repositories = {}
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def add_repository(self, name: str, repository: Repository):
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def add_repository(self, name: str, repository: Repository) -> str:
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if name in self._repositories:
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if name in self._repositories:
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raise DataPlateformError("The repository {name} already exists")
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raise DataPlateformError("The repository {name} already exists")
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self._repositories[name] = repository
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self._repositories[name] = repository
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return name
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@property
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@property
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def repositories(self) -> list[str]:
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def repositories(self) -> list[str]:
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@ -25,3 +27,17 @@ class DataPlateform:
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def repository(self, name: str) -> Repository:
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def repository(self, name: str) -> Repository:
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return self._repositories[name]
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return self._repositories[name]
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def add_flux(self, name: str, flux: Flux) -> str:
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if name in self._fluxes:
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raise DataPlateformError("The flux {name} already exists")
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self._fluxes[name] = flux
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return name
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@property
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def fluxes(self) -> list[str]:
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return list(self._fluxes)
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def flux(self, name: str) -> Flux:
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return self._fluxes[name]
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@ -1,81 +0,0 @@
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from pathlib import Path
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from pydantic import BaseModel, computed_field
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from plesna.models.storage import Schema, Table
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from .datacatalogue import DataCatalogue
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class FakeSchema(BaseModel):
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name: str
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@computed_field
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@property
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def ref(self) -> Schema:
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return Schema(
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id=str(self.name),
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value=str(self.name),
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)
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class FakeTable(BaseModel):
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name: str
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data: dict[str, list]
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@computed_field
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@property
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def ref(self) -> Table:
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return Table(
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id=str(self.name),
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value=str(self.name),
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)
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class FakeDataCatalogue(DataCatalogue):
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"""DataCatalogue based on dictionnaries"""
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def __init__(self, name: str):
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self.name = name
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def ls(
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self, dir="", only_files=False, only_directories=False, recursive=False
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) -> list[str]:
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dirpath = self._basepath / dir
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if only_files:
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return [
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str(f.relative_to(dirpath))
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for f in dirpath.iterdir()
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if not f.is_dir() and not str(f).startswith(".")
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]
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if only_directories:
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if recursive:
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return [
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str(f[0].relative_to(dirpath))
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for f in dirpath.walk()
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if not str(f).startswith(".")
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]
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return [
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str(f.relative_to(dirpath))
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for f in dirpath.iterdir()
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if f.is_dir() and not str(f).startswith(".")
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]
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return [
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str(f.relative_to(dirpath))
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for f in dirpath.iterdir()
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if not str(f).startswith(".")
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]
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def schemas(self) -> dict[str, FSSchema]:
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"""List schemas (sub directories within basepath)"""
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subdirectories = self.ls("", only_directories=True, recursive=True)
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return {str(path): FSSchema(path=path) for path in subdirectories}
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def tables(self, schema_id=".") -> dict[str, FSTable]:
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"""List table in schema (which are files in the directory)"""
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schema_path = schema_id
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return {path: FSTable(path=path) for path in self.ls(schema_path, only_files=True)}
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@ -4,6 +4,8 @@ from pathlib import Path
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import pytest
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import pytest
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from plesna.dataplatform import DataPlateform
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from plesna.dataplatform import DataPlateform
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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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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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FIXTURE_DIR = Path(__file__).parent.parent / Path("raw_datas")
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@ -69,6 +71,29 @@ def test_listing_content(dataplatform: DataPlateform):
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]
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]
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def test_add_flux(dataplatform: DataPlateform):
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@pytest.fixture
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# dataplatform.add_flux()
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def copy_flux(repository: FSRepository) -> Flux:
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src = {"username": repository.table("raw", "username")}
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targets = {"username": repository.table("bronze", "username")}
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def copy(sources, targets):
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pass
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pass
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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=copy, extra_kwrds=extra_kwrds),
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)
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return flux
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def test_add_flux(dataplatform: DataPlateform, copy_flux: Flux):
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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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