Feat: execute flux on dataplatform

This commit is contained in:
Bertrand Benjamin 2025-01-04 21:33:05 +01:00
parent d04bfe1d44
commit 86f0dcc49e
4 changed files with 37 additions and 19 deletions

View File

@ -25,6 +25,10 @@ class Table(BaseModel):
schema_id: id of the schema where table belong to
name: the name of the table
value: string which describe where to find the table in the storage system
partitions: list of partitions
datas: list of string to access data
"""
id: str
@ -33,6 +37,7 @@ class Table(BaseModel):
name: str
value: str
partitions: list[str] = []
datas: list[str]
class Partition(BaseModel):

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@ -32,6 +32,11 @@ class FSTable(BaseModel):
@computed_field
@property
def ref(self) -> Table:
if self.is_partitionned:
datas = [str(self.path.absolute() / p) for p in self.partitions]
else:
datas = [str(self.path.absolute())]
return Table(
id=str(self.path),
repo_id=str(self.path.parent.parent),
@ -39,6 +44,7 @@ class FSTable(BaseModel):
name=self.name,
value=str(self.path.absolute()),
partitions=self.partitions,
datas=datas,
)
@ -75,9 +81,7 @@ class FSRepository(Repository):
assert self._basepath.exists()
def ls(
self, dir="", only_files=False, only_directories=False, recursive=False
) -> list[str]:
def ls(self, dir="", only_files=False, only_directories=False, recursive=False) -> list[str]:
"""List files in dir
:param dir: relative path from self._basepath
@ -106,9 +110,7 @@ class FSRepository(Repository):
if f.is_dir() and not str(f).startswith(".")
]
return [
str(f.relative_to(dirpath)) for f in paths if not str(f).startswith(".")
]
return [str(f.relative_to(dirpath)) for f in paths if not str(f).startswith(".")]
def schemas(self) -> list[str]:
"""List schemas (sub directories within basepath)"""

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@ -7,18 +7,18 @@ from plesna.models.transformation import Transformation
def test_consume_flux():
sources = {
"src1": Table(
id="src1", repo_id="test", schema_id="test", name="test", value="here"
id="src1", repo_id="test", schema_id="test", name="test", value="here", datas=["d"]
),
"src2": Table(
id="src2", repo_id="test", schema_id="test", name="test", value="here"
id="src2", repo_id="test", schema_id="test", name="test", value="here", datas=["d"]
),
}
targets = {
"tgt1": Table(
id="tgt1", repo_id="test", schema_id="test", name="test", value="this"
id="tgt1", repo_id="test", schema_id="test", name="test", value="this", datas=["d"]
),
"tgt2": Table(
id="tgt2", repo_id="test", schema_id="test", name="test", value="that"
id="tgt2", repo_id="test", schema_id="test", name="test", value="that", datas=["d"]
),
}

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@ -29,7 +29,7 @@ def repository(tmp_path) -> FSRepository:
for f in example_src.glob("*"):
if "recovery" in str(f):
shutil.copy(f, recovery_loc)
if "salary" in str(f):
elif "salary" in str(f):
shutil.copy(f, salary_loc)
else:
shutil.copy(f, username_loc)
@ -73,20 +73,23 @@ def foo_flux(repository: FSRepository) -> Flux:
@pytest.fixture
def copy_flux(repository: FSRepository) -> Flux:
src = {"username": repository.table("raw", "username")}
targets = {"username": repository.table("bronze", "username")}
raw_username = {"username": repository.table("raw", "username")}
bronze_username = {"username": repository.table("bronze", "username")}
def copy(sources, targets):
pass
src_path = Path(sources["username"].datas[0])
tgt_path = Path(targets["username"].datas[0])
shutil.copy(src_path, tgt_path)
return {"src_size": src_path.stat().st_size, "tgt_size": tgt_path.stat().st_size}
extra_kwrds = {}
flux = Flux(
sources=src,
targets=targets,
raw_brz_copy_username = Flux(
sources=raw_username,
targets=bronze_username,
transformation=Transformation(function=copy, extra_kwrds=extra_kwrds),
)
return flux
return raw_brz_copy_username
def test_add_flux(repository: FSRepository, copy_flux: Flux):
@ -113,7 +116,7 @@ def dataplatform(
dp.add_repository("test", repository)
dp.add_flux("foo", foo_flux)
dp.add_flux("copy", copy_flux)
dp.add_flux("raw_brz_copy_username", copy_flux)
return dp
@ -124,8 +127,16 @@ def test_listing_content(dataplatform: DataPlateform):
"username",
"salary",
]
assert dataplatform.repository("test").table("raw", "username").partitions == ["username.csv"]
def test_execute_flux(dataplatform: DataPlateform):
meta = dataplatform.execute_flux("foo")
assert meta.data == {"who": "foo"}
assert dataplatform.repository("test").schema("bronze").tables == []
meta = dataplatform.execute_flux("raw_brz_copy_username")
assert meta.data == {"src_size": 175, "tgt_size": 175}
assert dataplatform.repository("test").schema("bronze").tables == ["username"]