Feat: create fs_datacatalogue
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88795fdad3
commit
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class
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@ -2,35 +2,33 @@ 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 Schema(BaseModel):
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class FSSchema(BaseModel):
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path: Path
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@computed_field
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@property
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def id(self) -> str:
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return str(self.path)
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@computed_field
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@property
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def value(self) -> str:
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return str(self.path)
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def ref(self) -> Schema:
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return Schema(
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id=str(self.path),
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value=str(self.path),
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)
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class Table(BaseModel):
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class FSTable(BaseModel):
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path: Path
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@computed_field
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@property
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def id(self) -> str:
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return str(self.path)
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@computed_field
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@property
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def value(self) -> str:
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return str(self.path)
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def ref(self) -> Table:
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return Table(
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id=str(self.path),
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value=str(self.path),
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)
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class FSDataCatalogue(DataCatalogue):
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@ -74,13 +72,12 @@ class FSDataCatalogue(DataCatalogue):
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if not str(f).startswith(".")
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]
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def schemas(self) -> dict[str, Schema]:
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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): Schema(path=path) for path in subdirectories}
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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, Table]:
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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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tables = [Table(path=path) for path in self.ls(schema_path, only_files=True)]
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return {table.id: table for table in tables}
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return {path: FSTable(path=path) for path in self.ls(schema_path, only_files=True)}
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25
plesna/models/storage.py
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25
plesna/models/storage.py
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from pydantic import BaseModel
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class Schema(BaseModel):
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"""Logical agregation for Table
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id: uniq identifier for the schema
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value: string which describe where to find the schema in the storage system
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"""
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id: str
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value: str
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class Table(BaseModel):
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"""Place where data are stored
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id: uniq identifier for the table
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value: string which describe where to find the table in the storage system
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"""
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id: str
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value: str
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@ -42,12 +42,12 @@ def test_init(location):
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def test_list_schema(location):
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repo = FSDataCatalogue("example", location)
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assert {id: s.model_dump()["id"] for id, s in repo.schemas().items()} == {
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assert {id: s.model_dump()["ref"]["id"] for id, s in repo.schemas().items()} == {
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".": ".",
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"username": "username",
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"salary": "salary",
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}
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assert {id: s.model_dump()["value"] for id, s in repo.schemas().items()} == {
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assert {id: s.model_dump()["ref"]["value"] for id, s in repo.schemas().items()} == {
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".": ".",
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"username": "username",
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"salary": "salary",
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@ -62,11 +62,11 @@ def test_list_schema(location):
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def test_list_tables(location):
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repo = FSDataCatalogue("example", location)
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assert repo.tables() == {}
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assert {id: t.model_dump()["value"] for id,t in repo.tables("username").items()} == {
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assert {id: t.model_dump()["ref"]["value"] for id,t in repo.tables("username").items()} == {
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"username.csv": "username.csv",
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"username-password-recovery-code.xlsx": "username-password-recovery-code.xlsx",
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"username-password-recovery-code.xls": "username-password-recovery-code.xls",
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}
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assert {id: t.model_dump()["value"] for id,t in repo.tables("salary").items()} == {
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assert {id: t.model_dump()["ref"]["value"] for id,t in repo.tables("salary").items()} == {
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"salary.pdf": "salary.pdf",
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}
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Username;Identifier;First name;Last name
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booker12;9012;Rachel;Booker
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grey07;2070;Laura;Grey
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johnson81;4081;Craig;Johnson
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jenkins46;9346;Mary;Jenkins
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smith79;5079;Jamie;Smith
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@ -1,84 +0,0 @@
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import shutil
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from pathlib import Path
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import pytest
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from pandas import pandas
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from dashboard.libs.repository.fs_repository import FSRepository
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EXAMPLE_DIR = "./tests/repository/fs_examples/"
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@pytest.fixture
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def location(tmp_path):
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loc = tmp_path
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username_loc = loc / "username"
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username_loc.mkdir()
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salary_loc = loc / "salary"
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salary_loc.mkdir()
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example_src = Path(EXAMPLE_DIR)
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for f in example_src.glob("*"):
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if "username" in str(f):
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shutil.copy(f, username_loc)
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else:
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shutil.copy(f, salary_loc)
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return loc
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def test_init(location):
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repo = FSRepository("example", location)
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assert repo.ls() == [
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"username",
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"salary",
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]
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assert repo.schemas() == [
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".",
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"username",
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"salary",
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]
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assert repo.tables() == []
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assert repo.tables("username") == [
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"username.csv",
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"username-password-recovery-code.xlsx",
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"username-password-recovery-code.xls",
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]
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assert repo.tables("salary") == ["salary.pdf"]
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def test_read_csv(location):
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repo = FSRepository("example", location)
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username = repo.read("username.csv", "username", delimiter=";")
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assert list(username.columns) == [
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"Username",
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"Identifier",
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"First name",
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"Last name",
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]
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assert len(username.index) == 5
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def test_fake_read_xlsx(location):
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repo = FSRepository("example", location)
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df = pandas.read_excel(
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location / "username" / "username-password-recovery-code.xls"
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)
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print(df)
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def test_read_xlsx(location):
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repo = FSRepository("example", location)
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username = repo.read("username-password-recovery-code.xls", "username")
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assert list(username.columns) == [
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"Username",
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"Identifier",
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"One-time password",
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"Recovery code",
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"First name",
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"Last name",
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"Department",
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"Location",
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]
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assert len(username.index) == 5
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