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How to use test_collection method in autotest

Best Python code snippet using autotest_python

test_collection.py

Source:test_collection.py

1import numpy as np2from numpy.testing import assert_array_equal3from pandas.testing import assert_frame_equal, assert_series_equal4from operator import and_5from functools import reduce6from mtg.collection import Collection7from pytest import raises8def test_collection_metadata(old_format_datafile):9    c = Collection(old_format_datafile, label="Islands", source="MtgManager")10    assert c.label == "Islands", f"Error in label: {c.label}"11    assert c.source == "MtgManager", f"Error in Source: {c.source}"12def test_old_format_layout(old_format_datafile):13    c = Collection(old_format_datafile)14    assert "Code" not in c.data.columns15    assert "ExpansionCode" in c.data.columns16    assert "ExpansionName" not in c.data.columns17    # Foil is Bool type18    assert c.data.Foil.dtype == bool19    # Condition is Categorical20    assert c.data.Condition.dtype.name == "category"21    # Language is Categorical22    assert c.data.Language.dtype.name == "category"23    # assert all ExpansionCode are lowercase24    lowercase_codes = c.data.ExpansionCode.apply(lambda c: c.lower()).values25    assert_array_equal(c.data.ExpansionCode.values, lowercase_codes)26def test_new_format_layout(new_format_datafile):27    c = Collection(new_format_datafile)28    assert "ExpansionCode" in c.data.columns29    assert "ExpansionName" in c.data.columns30    # Foil is Bool type31    assert c.data.Foil.dtype == bool32    # Condition is Categorical33    assert c.data.Condition.dtype.name == "category"34    # Language is Categorical35    assert c.data.Language.dtype.name == "category"36    # assert all ExpansionCode are lowercase37    lowercase_codes = c.data.ExpansionCode.apply(lambda c: c.lower()).values38    assert_array_equal(c.data.ExpansionCode.values, lowercase_codes)39def test_lazy_data_loading(test_collection):40    # No data property access yet41    assert test_collection._data is None42    # access data property - should not be None43    assert test_collection.data is not None44    assert_frame_equal(test_collection.data, test_collection._data)45    # they should be indeed the same object46    assert test_collection.data is test_collection._data47def test_len_collection_is_sum_of_quantities(test_collection):48    assert len(test_collection) > 049    assert len(test_collection) != len(test_collection.data)50    assert len(test_collection) == test_collection.data.Quantity.sum()51def test_collection_is_hashable(test_collection):52    assert hash(test_collection) is not None53    assert hash(test_collection) == hash(test_collection.source + test_collection.label)54def test_proxy_dataframe(test_collection):55    """This tests verify that dataframe access is proxied via Collection"""56    try:57        # try to call the head method of the dataframe underneath58        _ = test_collection.head()59    except AttributeError:60        assert False, "Attribute head() not found in Collection"61    else:62        assert True63    try:64        # try access single column65        _ = test_collection.Name66    except AttributeError:67        assert False, "Attribute head() not found in Collection"68    else:69        assert True70def test_non_existing_name_raises_attribute_error(test_collection):71    with raises(AttributeError):72        test_collection.headhead()  # this does not exist73        test_collection.NonExistingColumn74def test_collection_is_subscriptable(test_collection):75    try:76        result = test_collection[test_collection.Name == "Island"]77    except TypeError:78        assert False, "Collection is Not Subscriptable"79    else:80        assert len(result) > 081        res_via_data = test_collection.data[test_collection.data.Name == "Island"]82        assert_frame_equal(result, res_via_data)83def test_collection_is_writable(test_collection):84    try:85        test_collection[test_collection.Name == "Island", ["Name", "Quantity"]] = (86            "Forest",87            1,88        )89    except RuntimeError:90        assert False, "Assignment not permitted"91    else:92        # check that all values have been actually changed93        assert len(test_collection[test_collection.Quantity > 1]) == 094        assert len(test_collection) == len(95            test_collection.data96        )  # every entry should count as for 197        # check no island exists anymore98        assert len(test_collection[test_collection.Name == "Island"]) == 099def test_add_new_column_to_collection(test_collection):100    n_cols_before_change = len(test_collection.columns)101    test_collection["NewColumn"] = test_collection.Quantity.apply(lambda v: v + 1)102    assert len(test_collection.columns) == n_cols_before_change + 1103    assert "NewColumn" in test_collection.columns104    qs = test_collection.Quantity.values.tolist()105    nqs = test_collection.NewColumn.values.tolist()106    assert reduce(and_, map(lambda p: p[0] > p[1] and p[0] == p[1] + 1, zip(nqs, qs)))107def test_diff_collections_nodiffs(new_format_datafile):108    c1 = Collection(new_format_datafile, label="Islands", source="Other NEW")109    c2 = Collection(new_format_datafile, label="Islands", source="NEW")110    assert len(c1 - c1) == 0111    assert len(c2 - c2) == 0112    assert len(c1 - c2) == 0113    assert len(c2 - c1) == 0114    assert "PurchaseDate" not in (c2 - c1).columns115def test_diff_collections_with_different_columns(116    old_format_datafile, new_format_datafile117):118    c1 = Collection(old_format_datafile, label="Islands")119    c2 = Collection(new_format_datafile, label="Islands")120    with raises(ValueError):121        c2 - c1122def test_diff_two_collections_different_label(old_format_datafile, new_format_datafile):123    c1 = Collection(old_format_datafile, label="Islands_old")124    c2 = Collection(new_format_datafile, label="Islands_new")125    with raises(ValueError):126        c2 - c1127def test_reorder_columns(new_format_datafile):128    c = Collection(new_format_datafile, label="Islands", source="Test New Format")129    cols = [130        "Quantity",131        "Name",132        "ExpansionCode",133        "ExpansionName",134        "PurchasePrice",135        "Foil",136        "Condition",137        "Language",138        "PurchaseDate",139    ]140    assert all(map(lambda col: col in c.columns, cols))141    assert_array_equal(c.columns, np.asarray(cols))142    cols_reversed = cols[::-1]143    c.resort_colunns(cols_reversed)144    assert_array_equal(c.columns, np.asarray(cols_reversed))145def test_reorder_non_existing_columns(new_format_datafile):146    c = Collection(new_format_datafile, label="Islands", source="Test New Format")147    cols = [148        "Quantity",149        "Name",150        "ExpansionCode",151        "ExpansionName",152        "PurchasePrice",153        "Foil",154        "Condition",155        "Language",156        "PurchaseDate",157    ]158    assert all(map(lambda col: col in c.columns, cols))159    assert_array_equal(c.columns, np.asarray(cols))160    with raises(ValueError):161        non_existing_cols = ["NonExistingCols"]...

tasks.py

Source:tasks.py

1from operator import add2import os3from os import name4from threading import Lock5import time6from celery import Celery7import requests8import json9import celeryconfig10from pymongo import MongoClient11from random import randint12import logging13from logging.handlers import RotatingFileHandler14import stacktracer15import uuid16logger = logging.getLogger('app')17logger.setLevel(logging.DEBUG)18handler = RotatingFileHandler('log/app.log', maxBytes=1024000*1024000, backupCount=2)19logger.addHandler(handler)20env=os.environ21CELERY_BROKER_URL=env.get('CELERY_BROKER_URL','redis://localhost:6379'),22CELERY_RESULT_BACKEND=env.get('CELERY_RESULT_BACKEND','redis://localhost:6379')23celery= Celery('tasks',24                broker=CELERY_BROKER_URL,25                backend=CELERY_RESULT_BACKEND)26client = MongoClient(env.get('MONGO_DB_NAME', 'localhost'), 2701727, username=env.get('MONGO_INITDB_ROOT_USERNAME', 'admin')28, password=env.get('MONGO_INITDB_ROOT_PASSWORD', 'admin'))29db = client['tutorial']30test_collection = db['test-collection']31celery.config_from_object(celeryconfig)32stacktracer.trace_start("trace.html")33lock=Lock()34@celery.task(name='mytasks.add')35def add_task(id, y):36    if id is None:37        id = 138    temp_document = test_collection.find_one({"_id": id})39    random = randint(0, 1)40    if random == 1: 41        time.sleep(0.8)42    else:43        time.sleep(0.5)44    45    # if id == 1:46    #     temp_document = test_collection.find_one({"_id": id})47    #     if temp_document['count'] < 30:48    with lock:49        temp_document = test_collection.find_one({"_id": id})50        logger.info(temp_document)51        time.sleep(0.05)52        if temp_document['count'] < 30:53            currentCount = temp_document['count']54            temp_document['count'] = currentCount + 155            test_collection.update_one({"_id": id}, {"$set": {"count": temp_document['count']}})56    # else:57    #     temp_document = test_collection.find_one({"_id": id})58    #     logger.info(temp_document)59    #     time.sleep(0.5)60    #     if temp_document['count'] < 30:61    #         currentCount = temp_document['count']62    #         temp_document['count'] = currentCount + 163    #         test_collection.update_one({"_id": id}, {"$set": {"count": temp_document['count']}})64        # with client.start_session() as session:65        #     session.start_transaction()66        #     try:67        #         document = test_collection.find_one({"_id": id})68        #         currentCount = document['count']69        #         document['count'] = currentCount + 170        #         test_collection.update_one({"_id": id}, {"$set": {"count": document['count']}})71        #         # session.commit_transaction()72        #         # session.endSession()73        #     except Exception as ex:74        #         logger.info(ex)75    return id76@celery.task(name='mytasks.periodic')77def periodic():...

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