mirror of
https://github.com/MCV-Software/TWBlue.git
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Moved current tests from unittest to pytest
This commit is contained in:
parent
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1
src/test/sessions/__init__.py
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src/test/sessions/__init__.py
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# -*- coding: utf-8 -*-
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src/test/sessions/test_base_session.py
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src/test/sessions/test_base_session.py
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# -*- coding: utf-8 -*-
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import sys
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import types
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import pytest
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import os
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import sqlitedict
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import shutil
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from unittest import mock
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# Mock sound module, so LibVLc won't complain.
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sound_module = types.ModuleType("sound")
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sys.modules["sound"] = sound_module
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sound_module.soundManager = mock.MagicMock(name="sound.soundManager")
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from sessions import base
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# path where we will save our test config, as we can't rely on paths module due to pytest's paths being different.
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session_path = os.path.join(os.getcwd(), "config", "testing")
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@pytest.fixture
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def session():
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""" Configures a fake base session from where we can test things. """
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global session_path
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s = base.baseSession("testing")
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if os.path.exists(session_path) == False:
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os.mkdir(session_path)
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# Patches paths.app_path and paths.config_path, so we will not have issues during session configuration.
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with mock.patch("paths.app_path", return_value=os.getcwd()) as app_path:
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with mock.patch("paths.config_path", return_value=os.path.join(os.getcwd(), "config")) as config_path:
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s.get_configuration()
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yield s
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# Session's cleanup code.
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if os.path.exists(session_path):
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shutil.rmtree(session_path)
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del s
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@pytest.fixture
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def dataset():
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""" Generates a sample dataset"""
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dataset = dict(home_timeline=["message" for i in range(10000)], mentions_timeline=["mention" for i in range(20000)])
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yield dataset
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### Testing database being read from disk.
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def test_cache_in_disk_unlimited_size(session, dataset):
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""" Tests cache database being read from disk, storing the whole datasets. """
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session.settings["general"]["load_cache_in_memory"] = False
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session.settings["general"]["persist_size"] = -1
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session.load_persistent_data()
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session.db["home_timeline"] = dataset["home_timeline"]
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session.db["mentions_timeline"] = dataset["mentions_timeline"]
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session.save_persistent_data()
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assert isinstance(session.db, sqlitedict.SqliteDict)
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assert session.db.get("home_timeline") != None
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assert session.db.get("mentions_timeline") != None
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assert len(session.db.get("home_timeline")) == 10000
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assert len(session.db.get("mentions_timeline")) == 20000
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session.db.close()
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def test_cache_in_disk_limited_dataset(session, dataset):
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""" Tests wether the cache stores only the amount of items we ask it to store. """
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session.settings["general"]["load_cache_in_memory"] = False
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session.settings["general"]["persist_size"] = 100
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session.load_persistent_data()
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session.db["home_timeline"] = dataset["home_timeline"]
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session.db["mentions_timeline"] = dataset["mentions_timeline"]
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# We need to save and load the db again because we cannot modify buffers' size while the database is opened.
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# As TWBlue reads directly from db when reading from disk, an attempt to modify buffers size while Blue is reading the db
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# Might cause an out of sync error between the GUI lists and the database.
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# So we perform the changes to buffer size when loading data during app startup if the DB is read from disk.
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session.save_persistent_data()
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session.db = dict()
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session.load_persistent_data()
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assert isinstance(session.db, sqlitedict.SqliteDict)
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assert session.db.get("home_timeline") != None
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assert session.db.get("mentions_timeline") != None
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assert len(session.db.get("home_timeline")) == 100
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assert len(session.db.get("mentions_timeline")) == 100
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session.db.close()
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def test_cache_in_disk_limited_dataset_unreversed(session):
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"""Test if the cache is saved properly in unreversed buffers, when newest items are at the end of the list. """
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dataset = dict(home_timeline=[i for i in range(20)], mentions_timeline=[i for i in range(20)])
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session.settings["general"]["load_cache_in_memory"] = False
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session.settings["general"]["persist_size"] = 10
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session.load_persistent_data()
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session.db["home_timeline"] = dataset["home_timeline"]
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session.db["mentions_timeline"] = dataset["mentions_timeline"]
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# We need to save and load the db again because we cannot modify buffers' size while the database is opened.
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# As TWBlue reads directly from db when reading from disk, an attempt to modify buffers size while Blue is reading the db
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# Might cause an out of sync error between the GUI lists and the database.
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# So we perform the changes to buffer size when loading data during app startup if the DB is read from disk.
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session.save_persistent_data()
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session.db = dict()
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session.load_persistent_data()
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assert isinstance(session.db, sqlitedict.SqliteDict)
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assert session.db.get("home_timeline") != None
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assert session.db.get("mentions_timeline") != None
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assert session.db.get("home_timeline")[0] == 10
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assert session.db.get("mentions_timeline")[0] == 10
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assert session.db.get("home_timeline")[-1] == 19
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assert session.db.get("mentions_timeline")[-1] == 19
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session.db.close()
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def test_cache_in_disk_limited_dataset_reversed(session):
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"""Test if the cache is saved properly in reversed buffers, when newest items are at the start of the list. """
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dataset = dict(home_timeline=[i for i in range(19, -1, -1)], mentions_timeline=[i for i in range(19, -1, -1)])
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session.settings["general"]["load_cache_in_memory"] = False
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session.settings["general"]["persist_size"] = 10
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session.settings["general"]["reverse_timelines"] = True
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session.load_persistent_data()
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session.db["home_timeline"] = dataset["home_timeline"]
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session.db["mentions_timeline"] = dataset["mentions_timeline"]
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# We need to save and load the db again because we cannot modify buffers' size while the database is opened.
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# As TWBlue reads directly from db when reading from disk, an attempt to modify buffers size while Blue is reading the db
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# Might cause an out of sync error between the GUI lists and the database.
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# So we perform the changes to buffer size when loading data during app startup if the DB is read from disk.
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session.save_persistent_data()
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session.db = dict()
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session.load_persistent_data()
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assert isinstance(session.db, sqlitedict.SqliteDict)
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assert session.db.get("home_timeline") != None
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assert session.db.get("mentions_timeline") != None
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assert session.db.get("home_timeline")[0] == 19
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assert session.db.get("mentions_timeline")[0] == 19
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assert session.db.get("home_timeline")[-1] == 10
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assert session.db.get("mentions_timeline")[-1] == 10
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session.db.close()
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### Testing database being loaded into memory. Those tests should give the same results than before
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### but as we have different code depending whether we load db into memory or read it from disk,
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### We need to test this anyways.
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def test_cache_in_memory_unlimited_size(session, dataset):
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""" Tests cache database being loaded in memory, storing the whole datasets. """
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session.settings["general"]["load_cache_in_memory"] = True
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session.settings["general"]["persist_size"] = -1
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session.load_persistent_data()
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session.db["home_timeline"] = dataset["home_timeline"]
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session.db["mentions_timeline"] = dataset["mentions_timeline"]
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session.save_persistent_data()
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session.db = dict()
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session.load_persistent_data()
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assert isinstance(session.db, dict)
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assert session.db.get("home_timeline") != None
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assert session.db.get("mentions_timeline") != None
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assert len(session.db.get("home_timeline")) == 10000
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assert len(session.db.get("mentions_timeline")) == 20000
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def test_cache_in_memory_limited_dataset(session, dataset):
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""" Tests wether the cache stores only the amount of items we ask it to store, when loaded in memory. """
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session.settings["general"]["load_cache_in_memory"] = True
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session.settings["general"]["persist_size"] = 100
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session.load_persistent_data()
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session.db["home_timeline"] = dataset["home_timeline"]
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session.db["mentions_timeline"] = dataset["mentions_timeline"]
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session.save_persistent_data()
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session.db = dict()
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session.load_persistent_data()
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assert isinstance(session.db, dict)
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assert session.db.get("home_timeline") != None
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assert session.db.get("mentions_timeline") != None
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assert len(session.db.get("home_timeline")) == 100
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assert len(session.db.get("mentions_timeline")) == 100
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def test_cache_in_memory_limited_dataset_unreversed(session):
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"""Test if the cache is saved properly when loaded in memory in unreversed buffers, when newest items are at the end of the list. """
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dataset = dict(home_timeline=[i for i in range(20)], mentions_timeline=[i for i in range(20)])
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session.settings["general"]["load_cache_in_memory"] = True
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session.settings["general"]["persist_size"] = 10
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session.load_persistent_data()
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assert len(session.db)==1
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session.db["home_timeline"] = dataset["home_timeline"]
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session.db["mentions_timeline"] = dataset["mentions_timeline"]
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session.save_persistent_data()
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session.db = dict()
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session.load_persistent_data()
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assert isinstance(session.db, dict)
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assert session.db.get("home_timeline") != None
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assert session.db.get("mentions_timeline") != None
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assert session.db.get("home_timeline")[0] == 10
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assert session.db.get("mentions_timeline")[0] == 10
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assert session.db.get("home_timeline")[-1] == 19
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assert session.db.get("mentions_timeline")[-1] == 19
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def test_cache_in_memory_limited_dataset_reversed(session):
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"""Test if the cache is saved properly in reversed buffers, when newest items are at the start of the list. This test if for db read into memory. """
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dataset = dict(home_timeline=[i for i in range(19, -1, -1)], mentions_timeline=[i for i in range(19, -1, -1)])
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session.settings["general"]["load_cache_in_memory"] = True
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session.settings["general"]["persist_size"] = 10
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session.settings["general"]["reverse_timelines"] = True
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session.load_persistent_data()
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session.db["home_timeline"] = dataset["home_timeline"]
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session.db["mentions_timeline"] = dataset["mentions_timeline"]
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session.save_persistent_data()
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session.db = dict()
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session.load_persistent_data()
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assert isinstance(session.db, dict)
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assert session.db.get("home_timeline") != None
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assert session.db.get("mentions_timeline") != None
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assert session.db.get("home_timeline")[0] == 19
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assert session.db.get("mentions_timeline")[0] == 19
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assert session.db.get("home_timeline")[-1] == 10
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assert session.db.get("mentions_timeline")[-1] == 10
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@ -1,200 +0,0 @@
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# -*- coding: utf-8 -*-
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""" Test case to check some of the scenarios we might face when storing tweets in cache, both loading into memory or rreading from disk. """
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import unittest
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import os
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import paths
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import sqlitedict
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import shutil
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# The base session module requires sound as a dependency, and this needs libVLC to be locatable.
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os.environ['PYTHON_VLC_MODULE_PATH']=os.path.abspath(os.path.join(paths.app_path(), "..", "windows-dependencies", "x86"))
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os.environ['PYTHON_VLC_LIB_PATH']=os.path.abspath(os.path.join(paths.app_path(), "..", "windows-dependencies", "x86", "libvlc.dll"))
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from sessions import base
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class cacheTestCase(unittest.TestCase):
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def setUp(self):
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""" Configures a fake session to check caching objects here. """
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self.session = base.baseSession("testing")
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if os.path.exists(os.path.join(paths.config_path(), "testing")) == False:
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os.mkdir(os.path.join(paths.config_path(), "testing"))
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self.session.get_configuration()
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def tearDown(self):
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""" Removes the previously configured session. """
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session_folder = os.path.join(paths.config_path(), "testing")
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if os.path.exists(session_folder):
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shutil.rmtree(session_folder)
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def generate_dataset(self):
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""" Generates a sample dataset"""
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dataset = dict(home_timeline=["message" for i in range(10000)], mentions_timeline=["mention" for i in range(20000)])
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return dataset
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### Testing database being read from disk.
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def test_cache_in_disk_unlimited_size(self):
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""" Tests cache database being read from disk, storing the whole datasets. """
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dataset = self.generate_dataset()
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self.session.settings["general"]["load_cache_in_memory"] = False
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self.session.settings["general"]["persist_size"] = -1
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self.session.load_persistent_data()
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self.session.db["home_timeline"] = dataset["home_timeline"]
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self.session.db["mentions_timeline"] = dataset["mentions_timeline"]
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self.session.save_persistent_data()
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self.assertIsInstance(self.session.db, sqlitedict.SqliteDict)
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self.assertTrue(self.session.db.get("home_timeline") != None)
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self.assertTrue(self.session.db.get("mentions_timeline") != None)
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self.assertEquals(len(self.session.db.get("home_timeline")), 10000)
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self.assertEquals(len(self.session.db.get("mentions_timeline")), 20000)
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self.session.db.close()
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def test_cache_in_disk_limited_dataset(self):
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""" Tests wether the cache stores only the amount of items we ask it to store. """
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dataset = self.generate_dataset()
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self.session.settings["general"]["load_cache_in_memory"] = False
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self.session.settings["general"]["persist_size"] = 100
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self.session.load_persistent_data()
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self.session.db["home_timeline"] = dataset["home_timeline"]
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self.session.db["mentions_timeline"] = dataset["mentions_timeline"]
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# We need to save and load the db again because we cannot modify buffers' size while the database is opened.
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# As TWBlue reads directly from db when reading from disk, an attempt to modify buffers size while Blue is reading the db
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# Might cause an out of sync error between the GUI lists and the database.
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# So we perform the changes to buffer size when loading data during app startup if the DB is read from disk.
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self.session.save_persistent_data()
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self.session.db = dict()
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self.session.load_persistent_data()
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self.assertIsInstance(self.session.db, sqlitedict.SqliteDict)
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self.assertTrue(self.session.db.get("home_timeline") != None)
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self.assertTrue(self.session.db.get("mentions_timeline") != None)
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self.assertEquals(len(self.session.db.get("home_timeline")), 100)
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self.assertEquals(len(self.session.db.get("mentions_timeline")), 100)
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self.session.db.close()
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def test_cache_in_disk_limited_dataset_unreversed(self):
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"""Test if the cache is saved properly in unreversed buffers, when newest items are at the end of the list. """
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dataset = dict(home_timeline=[i for i in range(20)], mentions_timeline=[i for i in range(20)])
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self.session.settings["general"]["load_cache_in_memory"] = False
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self.session.settings["general"]["persist_size"] = 10
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self.session.load_persistent_data()
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self.session.db["home_timeline"] = dataset["home_timeline"]
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self.session.db["mentions_timeline"] = dataset["mentions_timeline"]
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# We need to save and load the db again because we cannot modify buffers' size while the database is opened.
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# As TWBlue reads directly from db when reading from disk, an attempt to modify buffers size while Blue is reading the db
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# Might cause an out of sync error between the GUI lists and the database.
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# So we perform the changes to buffer size when loading data during app startup if the DB is read from disk.
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self.session.save_persistent_data()
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self.session.db = dict()
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self.session.load_persistent_data()
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self.assertIsInstance(self.session.db, sqlitedict.SqliteDict)
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self.assertTrue(self.session.db.get("home_timeline") != None)
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self.assertTrue(self.session.db.get("mentions_timeline") != None)
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self.assertEquals(self.session.db.get("home_timeline")[0], 10)
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self.assertEquals(self.session.db.get("mentions_timeline")[0], 10)
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self.assertEquals(self.session.db.get("home_timeline")[-1], 19)
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self.assertEquals(self.session.db.get("mentions_timeline")[-1], 19)
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self.session.db.close()
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def test_cache_in_disk_limited_dataset_reversed(self):
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"""Test if the cache is saved properly in reversed buffers, when newest items are at the start of the list. """
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dataset = dict(home_timeline=[i for i in range(19, -1, -1)], mentions_timeline=[i for i in range(19, -1, -1)])
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self.session.settings["general"]["load_cache_in_memory"] = False
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self.session.settings["general"]["persist_size"] = 10
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self.session.settings["general"]["reverse_timelines"] = True
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self.session.load_persistent_data()
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self.session.db["home_timeline"] = dataset["home_timeline"]
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self.session.db["mentions_timeline"] = dataset["mentions_timeline"]
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# We need to save and load the db again because we cannot modify buffers' size while the database is opened.
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# As TWBlue reads directly from db when reading from disk, an attempt to modify buffers size while Blue is reading the db
|
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# Might cause an out of sync error between the GUI lists and the database.
|
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# So we perform the changes to buffer size when loading data during app startup if the DB is read from disk.
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self.session.save_persistent_data()
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self.session.db = dict()
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self.session.load_persistent_data()
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self.assertIsInstance(self.session.db, sqlitedict.SqliteDict)
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self.assertTrue(self.session.db.get("home_timeline") != None)
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self.assertTrue(self.session.db.get("mentions_timeline") != None)
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self.assertEquals(self.session.db.get("home_timeline")[0], 19)
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self.assertEquals(self.session.db.get("mentions_timeline")[0], 19)
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self.assertEquals(self.session.db.get("home_timeline")[-1], 10)
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self.assertEquals(self.session.db.get("mentions_timeline")[-1], 10)
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self.session.db.close()
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### Testing database being loaded into memory. Those tests should give the same results than before
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### but as we have different code depending whether we load db into memory or read it from disk,
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### We need to test this anyways.
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def test_cache_in_memory_unlimited_size(self):
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""" Tests cache database being loaded in memory, storing the whole datasets. """
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dataset = self.generate_dataset()
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self.session.settings["general"]["load_cache_in_memory"] = True
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self.session.settings["general"]["persist_size"] = -1
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self.session.load_persistent_data()
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self.session.db["home_timeline"] = dataset["home_timeline"]
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self.session.db["mentions_timeline"] = dataset["mentions_timeline"]
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self.session.save_persistent_data()
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self.session.db = dict()
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self.session.load_persistent_data()
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self.assertIsInstance(self.session.db, dict)
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self.assertTrue(self.session.db.get("home_timeline") != None)
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self.assertTrue(self.session.db.get("mentions_timeline") != None)
|
||||
self.assertEquals(len(self.session.db.get("home_timeline")), 10000)
|
||||
self.assertEquals(len(self.session.db.get("mentions_timeline")), 20000)
|
||||
|
||||
def test_cache_in_memory_limited_dataset(self):
|
||||
""" Tests wether the cache stores only the amount of items we ask it to store, when loaded in memory. """
|
||||
dataset = self.generate_dataset()
|
||||
self.session.settings["general"]["load_cache_in_memory"] = True
|
||||
self.session.settings["general"]["persist_size"] = 100
|
||||
self.session.load_persistent_data()
|
||||
self.session.db["home_timeline"] = dataset["home_timeline"]
|
||||
self.session.db["mentions_timeline"] = dataset["mentions_timeline"]
|
||||
self.session.save_persistent_data()
|
||||
self.session.db = dict()
|
||||
self.session.load_persistent_data()
|
||||
self.assertIsInstance(self.session.db, dict)
|
||||
self.assertTrue(self.session.db.get("home_timeline") != None)
|
||||
self.assertTrue(self.session.db.get("mentions_timeline") != None)
|
||||
self.assertEquals(len(self.session.db.get("home_timeline")), 100)
|
||||
self.assertEquals(len(self.session.db.get("mentions_timeline")), 100)
|
||||
|
||||
def test_cache_in_memory_limited_dataset_unreversed(self):
|
||||
"""Test if the cache is saved properly when loaded in memory in unreversed buffers, when newest items are at the end of the list. """
|
||||
dataset = dict(home_timeline=[i for i in range(20)], mentions_timeline=[i for i in range(20)])
|
||||
self.session.settings["general"]["load_cache_in_memory"] = True
|
||||
self.session.settings["general"]["persist_size"] = 10
|
||||
self.session.load_persistent_data()
|
||||
self.assertTrue(len(self.session.db)==1)
|
||||
self.session.db["home_timeline"] = dataset["home_timeline"]
|
||||
self.session.db["mentions_timeline"] = dataset["mentions_timeline"]
|
||||
self.session.save_persistent_data()
|
||||
self.session.db = dict()
|
||||
self.session.load_persistent_data()
|
||||
self.assertIsInstance(self.session.db, dict)
|
||||
self.assertTrue(self.session.db.get("home_timeline") != None)
|
||||
self.assertTrue(self.session.db.get("mentions_timeline") != None)
|
||||
self.assertEquals(self.session.db.get("home_timeline")[0], 10)
|
||||
self.assertEquals(self.session.db.get("mentions_timeline")[0], 10)
|
||||
self.assertEquals(self.session.db.get("home_timeline")[-1], 19)
|
||||
self.assertEquals(self.session.db.get("mentions_timeline")[-1], 19)
|
||||
|
||||
def test_cache_in_memory_limited_dataset_reversed(self):
|
||||
"""Test if the cache is saved properly in reversed buffers, when newest items are at the start of the list. This test if for db read into memory. """
|
||||
dataset = dict(home_timeline=[i for i in range(19, -1, -1)], mentions_timeline=[i for i in range(19, -1, -1)])
|
||||
self.session.settings["general"]["load_cache_in_memory"] = True
|
||||
self.session.settings["general"]["persist_size"] = 10
|
||||
self.session.settings["general"]["reverse_timelines"] = True
|
||||
self.session.load_persistent_data()
|
||||
self.session.db["home_timeline"] = dataset["home_timeline"]
|
||||
self.session.db["mentions_timeline"] = dataset["mentions_timeline"]
|
||||
self.session.save_persistent_data()
|
||||
self.session.db = dict()
|
||||
self.session.load_persistent_data()
|
||||
self.assertIsInstance(self.session.db, dict)
|
||||
self.assertTrue(self.session.db.get("home_timeline") != None)
|
||||
self.assertTrue(self.session.db.get("mentions_timeline") != None)
|
||||
self.assertEquals(self.session.db.get("home_timeline")[0], 19)
|
||||
self.assertEquals(self.session.db.get("mentions_timeline")[0], 19)
|
||||
self.assertEquals(self.session.db.get("home_timeline")[-1], 10)
|
||||
self.assertEquals(self.session.db.get("mentions_timeline")[-1], 10)
|
||||
|
||||
if __name__ == "__main__":
|
||||
unittest.main()
|
||||
Loading…
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Reference in New Issue
Block a user