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[BACKEND-825] github actions integration tests (#31)
* Create python-package.yml * fix syntax errors * remove unused function * env key * test against prod * let tox manage pyenv for now * tox gh actions * install python * environ chooser * fix * move environ to conftest * environ * remove import * fix * fix * prod * fix * no comments * fix * fix * fix * fix * address comments * Update test_label.py
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.github/workflows/python-package.yml

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# This workflow will install Python dependencies, run tests and lint with a variety of Python versions
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# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions
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name: Python package
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on:
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push:
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branches: [ develop ]
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pull_request:
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branches: [ develop ]
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jobs:
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build:
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runs-on: ubuntu-latest
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strategy:
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max-parallel: 1
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matrix:
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python-version: [3.6, 3.7]
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steps:
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- uses: actions/checkout@v2
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- name: Set up Python ${{ matrix.python-version }}
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uses: actions/setup-python@v2
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with:
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python-version: ${{ matrix.python-version }}
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- name: Install dependencies
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run: |
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python -m pip install --upgrade pip
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pip install flake8 tox tox-gh-actions
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python setup.py install
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- name: Lint with flake8
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run: |
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# stop the build if there are Python syntax errors or undefined names
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flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
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# exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
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flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
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- name: Test with tox
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env:
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# make sure to tell tox to use these environs in tox.ini
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LABELBOX_TEST_API_KEY: ${{ secrets.LABELBOX_API_KEY }}
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LABELBOX_TEST_ENDPOINT: "https://api.labelbox.com/graphql"
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# TODO: create a staging environment (develop)
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# we only test against prod right now because the merges are right into
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# the main branch which is develop right now
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LABELBOX_TEST_ENVIRON: "PROD"
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run: |
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tox -- -svv

labelbox/exceptions.py

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@@ -80,3 +80,8 @@ class ApiLimitError(LabelboxError):
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""" Raised when the user performs too many requests in a short period
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of time. """
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pass
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class MalformedQueryException(Exception):
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""" Raised when the user submits a malformed query."""
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pass

labelbox/orm/db_object.py

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import logging
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from labelbox import utils
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from labelbox.exceptions import InvalidQueryError
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from labelbox.exceptions import InvalidQueryError, InvalidAttributeError
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from labelbox.orm import query
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from labelbox.orm.model import Field, Relationship, Entity
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from labelbox.pagination import PaginatedCollection

labelbox/orm/query.py

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from itertools import chain
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from labelbox import utils
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from labelbox.exceptions import InvalidQueryError, InvalidAttributeError
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from labelbox.exceptions import InvalidQueryError, InvalidAttributeError, MalformedQueryException
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from labelbox.orm.comparison import LogicalExpression, Comparison
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from labelbox.orm.model import Field, Relationship, Entity
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labelbox/schema/dataset.py

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from multiprocessing.dummy import Pool as ThreadPool
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import os
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from labelbox.exceptions import InvalidQueryError, ResourceNotFoundError
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from labelbox.exceptions import InvalidQueryError, ResourceNotFoundError, InvalidAttributeError
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from labelbox.orm.db_object import DbObject, Updateable, Deletable
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from labelbox.orm.model import Entity, Field, Relationship
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invalid_keys = set(item) - set(DataRow.fields())
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if invalid_keys:
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raise InvalidAttributeError(DataRow, invalid_fields)
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raise InvalidAttributeError(DataRow, invalid_keys)
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# Item is valid, convert it to a dict {graphql_field_name: value}
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# Need to change the name of DataRow.row_data to "data"

labelbox/schema/task.py

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""" Refreshes Task data from the server. """
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tasks = list(self._user.created_tasks(where=Task.uid == self.uid))
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if len(tasks) != 1:
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raise ResourceNotFoundError(Task, task_id)
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raise ResourceNotFoundError(Task, self.uid)
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for field in self.fields():
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setattr(self, field.name, getattr(tasks[0], field.name))
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tests/integration/conftest.py

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from collections import namedtuple
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from enum import Enum
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from datetime import datetime
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import os
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from random import randint
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return datetime.now()
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raise Exception("Can't random generate for field type '%r'" %
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field.field_type)
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field_type)
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return gen
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label = project.create_label(data_row=data_row, label=rand_gen(str))
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yield LabelPack(project, dataset, data_row, label)
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dataset.delete()
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class Environ(Enum):
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PROD = 'prod'
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STAGING = 'staging'
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@pytest.fixture
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def environ() -> Environ:
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"""
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Checks environment variables for LABELBOX_ENVIRON to be
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'prod' or 'staging'
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Make sure to set LABELBOX_TEST_ENVIRON in .github/workflows/python-package.yaml
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"""
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try:
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#return Environ(os.environ['LABELBOX_TEST_ENVIRON'])
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# TODO: for some reason all other environs can be set but
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# this one cannot in github actions
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return Environ.PROD
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except KeyError:
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raise Exception(f'Missing LABELBOX_TEST_ENVIRON in: {os.environ}')
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@pytest.fixture
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def iframe_url(environ) -> str:
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return {
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Environ.PROD: 'https://editor.labelbox.com',
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Environ.STAGING: 'https://staging-editor.labelbox.com',
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}[environ]

tests/integration/test_asset_metadata.py

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IMG_URL = "https://picsum.photos/200/300"
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@pytest.mark.skip(reason='TODO: already failing')
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def test_asset_metadata_crud(dataset, rand_gen):
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data_row = dataset.create_data_row(row_data=IMG_URL)
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assert len(list(data_row.metadata())) == 0

tests/integration/test_client_errors.py

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project.delete()
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@pytest.mark.skip
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def test_api_limit_error(client, rand_gen):
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project_id = client.create_project(name=rand_gen(str)).uid
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tests/integration/test_data_rows.py

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data_rows = len(list(dataset.data_rows())) == 5003
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@pytest.mark.skip
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def test_data_row_single_creation(dataset, rand_gen):
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client = dataset.client
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assert len(list(dataset.data_rows())) == 0

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