Simpletasks Data 0.2.0 | GitLocker.com Product

Description:

simpletasksdata 0.2.0

simpletasks-data
Additional tasks for simpletasks to handle data.
Provides an ImportTask to import data into a Flask-SQLAlchemy model, from any source of data.
Data sources provided are:

CSV (ImportCsv)
SQLAlchemy query (ImportTable)
Custom data sources can easily be implemented via inheriting ImportSource.

Other data sources are provided by other libraries:

gapi-helper provides Google Sheets as source.

Sample:
import contextlib
from typing import Iterable, Iterator, List, Optional, Sequence

import click

from simpletasks import Cli, CliParams
from simpletasks_data import ImportSource, ImportTask, Mapping

from myapp import db

@click.group()
def cli():
pass

class Asset(db.Model):
"""Model to import to"""
id = db.Column(db.Integer, primary_key=True)
serialnumber = db.Column(db.String(128), index=True)
warehouse = db.Column(db.String(128))
status = db.Column(db.String(128))
product = db.Column(db.String(128))
guid = db.Column(db.String(36))

class AssetHistory(db.Model):
"""Model to keep track of changes"""
id = db.Column(db.Integer, primary_key=True)
date = db.Column(db.DateTime)
asset_id = db.Column(db.Integer, db.ForeignKey("asset.id"), nullable=False, index=True)
asset = db.relationship("Asset", foreign_keys=asset_id)

old_warehouse = db.Column(db.String(128))
new_warehouse = db.Column(db.String(128))
old_status = db.Column(db.String(128))
new_status = db.Column(db.String(128))

@Cli(cli, params=[CliParams.progress(), CliParams.dryrun()])
class ImportAssetsTask(ImportTask):
class _AssetsSource(ImportSource):
class _AssetMapping(Mapping):
def __init__(self) -> None:
super().__init__()

# Defines mapping between the input data and the fields from the model
# self.<name of the field in the model> = self.auto() -- in the order of the input data
self.serialnumber = self.auto()
self.status = self.auto(keep_history=True)
self.warehouse = self.auto(keep_history=True)
self.product = self.auto()
self.guid = self.auto()

# If there are gaps in the input data (i.e. fields not being used in the model), you can either:
# - use `self.foobar = self.col()` instead of `self.foobar = self.auto()` to specify the column name after the gap
# - use `foobar = self.auto()` to still register the gap/column, but not use it in the model

def get_key_column_name(self) -> str:
# By default, we use the "id" field - this overrides it
return "serialnumber"

def get_header_line_number(self) -> int:
# By default we skip the first (0-index) line (header) - setting to -1 includes all lines
return -1

@contextlib.contextmanager
def getGeneratorData(self) -> Iterator[Iterable[Sequence[str]]]:
# Custom data generator
output: List[Sequence[str]] = []

for x in o:
output.append([serialnumber, status, warehouse, product, guid])

yield output

def __init__(self) -> None:
super().__init__(self._AssetMapping())

def createModel(self) -> Asset:
return Asset()

def createHistoryModel(self, base: Asset) -> Optional[AssetHistory]:
o = AssetHistory()
o.asset_id = base.id
return o

def __init__(self, *args, **kwargs):
super().__init__(model=Asset(), keep_history=True, *args, **kwargs)

def get_sources(self) -> Iterable[ImportSource]:
# Here we can have multiple sources if we wish
return [self._AssetsSource()]

Contributing
To initialize the environment:
poetry install --no-root
poetry install -E geoalchemy

To run tests (including linting and code formatting checks), please run:
poetry run pytest --mypy --flake8 && poetry run black --check .