mirror of
https://github.com/Akkudoktor-EOS/EOS.git
synced 2025-10-29 13:56:21 +00:00
This fix implements the long term goal to have the EOS server run optimization (or
energy management) on regular intervals automatically. Thus clients can request
the current energy management plan at any time and it is updated on regular
intervals without interaction by the client.
This fix started out to "only" make automatic optimization (or energy management)
runs working. It turned out there are several endpoints that in some way
update predictions or run the optimization. To lock against such concurrent attempts
the code had to be refactored to allow control of execution. During refactoring it
became clear that some classes and files are named without a proper reference
to their usage. Thus not only refactoring but also renaming became necessary.
The names are still not the best, but I hope they are more intuitive.
The fix includes several bug fixes that are not directly related to the automatic optimization
but are necessary to keep EOS running properly to do the automatic optimization and
to test and document the changes.
This is a breaking change as the configuration structure changed once again and
the server API was also enhanced and streamlined. The server API that is used by
Andreas and Jörg in their videos has not changed.
* fix: automatic optimization
Allow optimization to automatically run on configured intervals gathering all
optimization parameters from configuration and predictions. The automatic run
can be configured to only run prediction updates skipping the optimization.
Extend documentaion to also cover automatic optimization. Lock automatic runs
against runs initiated by the /optimize or other endpoints. Provide new
endpoints to retrieve the energy management plan and the genetic solution
of the latest automatic optimization run. Offload energy management to thread
pool executor to keep the app more responsive during the CPU heavy optimization
run.
* fix: EOS servers recognize environment variables on startup
Force initialisation of EOS configuration on server startup to assure
all sources of EOS configuration are properly set up and read. Adapt
server tests and configuration tests to also test for environment
variable configuration.
* fix: Remove 0.0.0.0 to localhost translation under Windows
EOS imposed a 0.0.0.0 to localhost translation under Windows for
convenience. This caused some trouble in user configurations. Now, as the
default IP address configuration is 127.0.0.1, the user is responsible
for to set up the correct Windows compliant IP address.
* fix: allow names for hosts additional to IP addresses
* fix: access pydantic model fields by class
Access by instance is deprecated.
* fix: down sampling key_to_array
* fix: make cache clear endpoint clear all cache files
Make /v1/admin/cache/clear clear all cache files. Before it only cleared
expired cache files by default. Add new endpoint /v1/admin/clear-expired
to only clear expired cache files.
* fix: timezonefinder returns Europe/Paris instead of Europe/Berlin
timezonefinder 8.10 got more inaccurate for timezones in europe as there is
a common timezone. Use new package tzfpy instead which is still returning
Europe/Berlin if you are in Germany. tzfpy also claims to be faster than
timezonefinder.
* fix: provider settings configuration
Provider configuration used to be a union holding the settings for several
providers. Pydantic union handling does not always find the correct type
for a provider setting. This led to exceptions in specific configurations.
Now provider settings are explicit comfiguration items for each possible
provider. This is a breaking change as the configuration structure was
changed.
* fix: ClearOutside weather prediction irradiance calculation
Pvlib needs a pandas time index. Convert time index.
* fix: test config file priority
Do not use config_eos fixture as this fixture already creates a config file.
* fix: optimization sample request documentation
Provide all data in documentation of optimization sample request.
* fix: gitlint blocking pip dependency resolution
Replace gitlint by commitizen. Gitlint is not actively maintained anymore.
Gitlint dependencies blocked pip from dependency resolution.
* fix: sync pre-commit config to actual dependency requirements
.pre-commit-config.yaml was out of sync, also requirements-dev.txt.
* fix: missing babel in requirements.txt
Add babel to requirements.txt
* feat: setup default device configuration for automatic optimization
In case the parameters for automatic optimization are not fully defined a
default configuration is setup to allow the automatic energy management
run. The default configuration may help the user to correctly define
the device configuration.
* feat: allow configuration of genetic algorithm parameters
The genetic algorithm parameters for number of individuals, number of
generations, the seed and penalty function parameters are now avaliable
as configuration options.
* feat: allow configuration of home appliance time windows
The time windows a home appliance is allowed to run are now configurable
by the configuration (for /v1 API) and also by the home appliance parameters
(for the classic /optimize API). If there is no such configuration the
time window defaults to optimization hours, which was the standard before
the change. Documentation on how to configure time windows is added.
* feat: standardize mesaurement keys for battery/ ev SoC measurements
The standardized measurement keys to report battery SoC to the device
simulations can now be retrieved from the device configuration as a
read-only config option.
* feat: feed in tariff prediction
Add feed in tarif predictions needed for automatic optimization. The feed in
tariff can be retrieved as fixed feed in tarif or can be imported. Also add
tests for the different feed in tariff providers. Extend documentation to
cover the feed in tariff providers.
* feat: add energy management plan based on S2 standard instructions
EOS can generate an energy management plan as a list of simple instructions.
May be retrieved by the /v1/energy-management/plan endpoint. The instructions
loosely follow the S2 energy management standard.
* feat: make measurement keys configurable by EOS configuration.
The fixed measurement keys are replaced by configurable measurement keys.
* feat: make pendulum DateTime, Date, Duration types usable for pydantic models
Use pydantic_extra_types.pendulum_dt to get pydantic pendulum types. Types are
added to the datetimeutil utility. Remove custom made pendulum adaptations
from EOS pydantic module. Make EOS modules use the pydantic pendulum types
managed by the datetimeutil module instead of the core pendulum types.
* feat: Add Time, TimeWindow, TimeWindowSequence and to_time to datetimeutil.
The time windows are are added to support home appliance time window
configuration. All time classes are also pydantic models. Time is the base
class for time definition derived from pendulum.Time.
* feat: Extend DataRecord by configurable field like data.
Configurable field like data was added to support the configuration of
measurement records.
* feat: Add additional information to health information
Version information is added to the health endpoints of eos and eosDash.
The start time of the last optimization and the latest run time of the energy
management is added to the EOS health information.
* feat: add pydantic merge model tests
* feat: add plan tab to EOSdash
The plan tab displays the current energy management instructions.
* feat: add predictions tab to EOSdash
The predictions tab displays the current predictions.
* feat: add cache management to EOSdash admin tab
The admin tab is extended by a section for cache management. It allows to
clear the cache.
* feat: add about tab to EOSdash
The about tab resembles the former hello tab and provides extra information.
* feat: Adapt changelog and prepare for release management
Release management using commitizen is added. The changelog file is adapted and
teh changelog and a description for release management is added in the
documentation.
* feat(doc): Improve install and devlopment documentation
Provide a more concise installation description in Readme.md and add extra
installation page and development page to documentation.
* chore: Use memory cache for interpolation instead of dict in inverter
Decorate calculate_self_consumption() with @cachemethod_until_update to cache
results in memory during an energy management/ optimization run. Replacement
of dict type caching in inverter is now possible because all optimization
runs are properly locked and the memory cache CacheUntilUpdateStore is properly
cleared at the start of any energy management/ optimization operation.
* chore: refactor genetic
Refactor the genetic algorithm modules for enhanced module structure and better
readability. Removed unnecessary and overcomplex devices singleton. Also
split devices configuration from genetic algorithm parameters to allow further
development independently from genetic algorithm parameter format. Move
charge rates configuration for electric vehicles from optimization to devices
configuration to allow to have different charge rates for different cars in
the future.
* chore: Rename memory cache to CacheEnergyManagementStore
The name better resembles the task of the cache to chache function and method
results for an energy management run. Also the decorator functions are renamed
accordingly: cachemethod_energy_management, cache_energy_management
* chore: use class properties for config/ems/prediction mixin classes
* chore: skip debug logs from mathplotlib
Mathplotlib is very noisy in debug mode.
* chore: automatically sync bokeh js to bokeh python package
bokeh was updated to 3.8.0, make JS CDN automatically follow the package version.
* chore: rename hello.py to about.py
Make hello.py the adapted EOSdash about page.
* chore: remove demo page from EOSdash
As no the plan and prediction pages are working without configuration, the demo
page is no longer necessary
* chore: split test_server.py for system test
Split test_server.py to create explicit test_system.py for system tests.
* chore: move doc utils to generate_config_md.py
The doc utils are only used in scripts/generate_config_md.py. Move it there to
attribute for strong cohesion.
* chore: improve pydantic merge model documentation
* chore: remove pendulum warning from readme
* chore: remove GitHub discussions from contributing documentation
Github discussions is to be replaced by Akkudoktor.net.
* chore(release): bump version to 0.1.0+dev for development
* build(deps): bump fastapi[standard] from 0.115.14 to 0.117.1
bump fastapi and make coverage version (for pytest-cov) explicit to avoid pip break.
* build(deps): bump uvicorn from 0.36.0 to 0.37.0
BREAKING CHANGE: EOS configuration changed. V1 API changed.
- The available_charge_rates_percent configuration is removed from optimization.
Use the new charge_rate configuration for the electric vehicle
- Optimization configuration parameter hours renamed to horizon_hours
- Device configuration now has to provide the number of devices and device
properties per device.
- Specific prediction provider configuration to be provided by explicit
configuration item (no union for all providers).
- Measurement keys to be provided as a list.
- New feed in tariff providers have to be configured.
- /v1/measurement/loadxxx endpoints are removed. Use generic mesaurement endpoints.
- /v1/admin/cache/clear now clears all cache files. Use
/v1/admin/cache/clear-expired to only clear all expired cache files.
Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
695 lines
28 KiB
Python
695 lines
28 KiB
Python
import io
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import json
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import pickle
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import tempfile
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from datetime import date, datetime, timedelta
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from pathlib import Path
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from time import sleep
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from unittest.mock import MagicMock, patch
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import cachebox
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import pytest
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from akkudoktoreos.core.cache import (
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CacheEnergyManagementStore,
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CacheFileRecord,
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CacheFileStore,
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cache_energy_management,
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cache_in_file,
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cachemethod_energy_management,
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)
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from akkudoktoreos.utils.datetimeutil import compare_datetimes, to_datetime, to_duration
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# ---------------------------------
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# In-Memory Caching Functionality
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# ---------------------------------
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# Fixtures for testing
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@pytest.fixture
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def cache_energy_management_store():
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"""Ensures CacheEnergyManagementStore is reset between tests."""
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cache = CacheEnergyManagementStore()
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CacheEnergyManagementStore().clear()
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assert len(cache) == 0
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return cache
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class TestCacheEnergyManagementStore:
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def test_cache_initialization(self, cache_energy_management_store):
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"""Test that CacheEnergyManagementStore initializes with the correct properties."""
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cache = CacheEnergyManagementStore()
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assert isinstance(cache.cache, cachebox.LRUCache)
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assert cache.maxsize == 100
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assert len(cache) == 0
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def test_singleton_behavior(self, cache_energy_management_store):
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"""Test that CacheEnergyManagementStore is a singleton."""
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cache1 = CacheEnergyManagementStore()
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cache2 = CacheEnergyManagementStore()
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assert cache1 is cache2
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def test_cache_storage(self, cache_energy_management_store):
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"""Test that items can be added and retrieved from the cache."""
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cache = CacheEnergyManagementStore()
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cache["key1"] = "value1"
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assert cache["key1"] == "value1"
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assert len(cache) == 1
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def test_cache_getattr_invalid_method(self, cache_energy_management_store):
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"""Test that accessing an invalid method raises an AttributeError."""
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with pytest.raises(AttributeError):
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CacheEnergyManagementStore().non_existent_method() # This should raise AttributeError
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class TestCacheUntilUpdateDecorators:
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def test_cachemethod_energy_management(self, cache_energy_management_store):
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"""Test that cachemethod_energy_management caches method results."""
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class MyClass:
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@cachemethod_energy_management
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def compute(self, value: int) -> int:
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return value * 2
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obj = MyClass()
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# Call method and assert caching
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assert CacheEnergyManagementStore.miss_count == 0
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assert CacheEnergyManagementStore.hit_count == 0
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result1 = obj.compute(5)
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assert CacheEnergyManagementStore.miss_count == 1
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assert CacheEnergyManagementStore.hit_count == 0
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result2 = obj.compute(5)
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assert CacheEnergyManagementStore.miss_count == 1
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assert CacheEnergyManagementStore.hit_count == 1
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assert result1 == result2
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def test_cache_energy_management(self, cache_energy_management_store):
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"""Test that cache_energy_management caches function results."""
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@cache_energy_management
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def compute(value: int) -> int:
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return value * 3
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# Call function and assert caching
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result1 = compute(4)
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assert CacheEnergyManagementStore.last_event == cachebox.EVENT_MISS
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result2 = compute(4)
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assert CacheEnergyManagementStore.last_event == cachebox.EVENT_HIT
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assert result1 == result2
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def test_cache_with_different_arguments(self, cache_energy_management_store):
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"""Test that caching works for different arguments."""
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class MyClass:
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@cachemethod_energy_management
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def compute(self, value: int) -> int:
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return value * 2
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obj = MyClass()
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assert CacheEnergyManagementStore.miss_count == 0
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result1 = obj.compute(3)
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assert CacheEnergyManagementStore.last_event == cachebox.EVENT_MISS
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assert CacheEnergyManagementStore.miss_count == 1
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result2 = obj.compute(5)
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assert CacheEnergyManagementStore.last_event == cachebox.EVENT_MISS
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assert CacheEnergyManagementStore.miss_count == 2
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assert result1 == 6
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assert result2 == 10
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def test_cache_clearing(self, cache_energy_management_store):
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"""Test that cache is cleared between EMS update cycles."""
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class MyClass:
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@cachemethod_energy_management
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def compute(self, value: int) -> int:
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return value * 2
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obj = MyClass()
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obj.compute(5)
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# Clear cache
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CacheEnergyManagementStore().clear()
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with pytest.raises(KeyError):
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_ = CacheEnergyManagementStore()["<invalid>"]
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def test_decorator_works_for_standalone_function(self, cache_energy_management_store):
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"""Test that cache_energy_management works with standalone functions."""
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@cache_energy_management
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def add(a: int, b: int) -> int:
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return a + b
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assert CacheEnergyManagementStore.miss_count == 0
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assert CacheEnergyManagementStore.hit_count == 0
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result1 = add(1, 2)
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assert CacheEnergyManagementStore.miss_count == 1
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assert CacheEnergyManagementStore.hit_count == 0
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result2 = add(1, 2)
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assert CacheEnergyManagementStore.miss_count == 1
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assert CacheEnergyManagementStore.hit_count == 1
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assert result1 == result2
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# -----------------------------
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# CacheFileStore
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# -----------------------------
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@pytest.fixture
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def temp_store_file():
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with tempfile.NamedTemporaryFile(delete=False) as temp_file:
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yield Path(temp_file.file.name)
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# temp_file.unlink()
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@pytest.fixture
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def cache_file_store(temp_store_file):
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"""A pytest fixture that creates a new CacheFileStore instance for testing."""
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cache = CacheFileStore()
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cache._store_file = temp_store_file
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cache.clear(clear_all=True)
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assert len(cache._store) == 0
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return cache
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class TestCacheFileStore:
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def test_generate_cache_file_key(self, cache_file_store):
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"""Test cache file key generation based on URL and date."""
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key = "http://example.com"
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# Provide until date - assure until_dt is used.
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until_dt = to_datetime("2024-10-01")
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cache_file_key, cache_file_until_dt, ttl_duration = (
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cache_file_store._generate_cache_file_key(key=key, until_datetime=until_dt)
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)
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assert cache_file_key is not None
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assert compare_datetimes(cache_file_until_dt, until_dt).equal
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# Provide until date again - assure same key is generated.
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cache_file_key1, cache_file_until_dt1, ttl_duration1 = (
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cache_file_store._generate_cache_file_key(key=key, until_datetime=until_dt)
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)
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assert cache_file_key1 == cache_file_key
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assert compare_datetimes(cache_file_until_dt1, until_dt).equal
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# Provide no until date - assure today EOD is used.
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no_until_dt = to_datetime().end_of("day")
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cache_file_key, cache_file_until_dt, ttl_duration = (
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cache_file_store._generate_cache_file_key(key)
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)
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assert cache_file_key is not None
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assert compare_datetimes(cache_file_until_dt, no_until_dt).equal
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# Provide with_ttl - assure until_dt is used.
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until_dt = to_datetime().add(hours=1)
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cache_file_key, cache_file_until_dt, ttl_duration = (
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cache_file_store._generate_cache_file_key(key, with_ttl="1 hour")
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)
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assert cache_file_key is not None
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assert compare_datetimes(cache_file_until_dt, until_dt).approximately_equal
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assert ttl_duration == to_duration("1 hour")
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# Provide with_ttl again - assure same key is generated.
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until_dt = to_datetime().add(hours=1)
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cache_file_key1, cache_file_until_dt1, ttl_duration1 = (
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cache_file_store._generate_cache_file_key(key=key, with_ttl="1 hour")
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)
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assert cache_file_key1 == cache_file_key
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assert compare_datetimes(cache_file_until_dt1, until_dt).approximately_equal
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assert ttl_duration1 == to_duration("1 hour")
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# Provide different with_ttl - assure different key is generated.
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until_dt = to_datetime().add(hours=1, minutes=1)
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cache_file_key2, cache_file_until_dt2, ttl_duration2 = (
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cache_file_store._generate_cache_file_key(key=key, with_ttl="1 hour 1 minute")
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)
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assert cache_file_key2 != cache_file_key
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assert compare_datetimes(cache_file_until_dt2, until_dt).approximately_equal
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assert ttl_duration2 == to_duration("1 hour 1 minute")
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def test_get_file_path(self, cache_file_store):
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"""Test get file path from cache file object."""
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cache_file = cache_file_store.create("test_file", mode="w+", suffix=".txt")
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file_path = cache_file_store._get_file_path(cache_file)
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assert file_path is not None
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def test_until_datetime_by_options(self, cache_file_store):
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"""Test until datetime calculation based on options."""
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now = to_datetime()
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# Test with until_datetime
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result, ttl_duration = cache_file_store._until_datetime_by_options(until_datetime=now)
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assert result == now
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assert ttl_duration is None
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# -- From now on we expect a until_datetime in one hour
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ttl_duration_expected = to_duration("1 hour")
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# Test with with_ttl as timedelta
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until_datetime_expected = to_datetime().add(hours=1)
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ttl = timedelta(hours=1)
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result, ttl_duration = cache_file_store._until_datetime_by_options(with_ttl=ttl)
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assert compare_datetimes(result, until_datetime_expected).approximately_equal
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assert ttl_duration == ttl_duration_expected
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# Test with with_ttl as int (seconds)
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until_datetime_expected = to_datetime().add(hours=1)
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ttl_seconds = 3600
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result, ttl_duration = cache_file_store._until_datetime_by_options(with_ttl=ttl_seconds)
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assert compare_datetimes(result, until_datetime_expected).approximately_equal
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assert ttl_duration == ttl_duration_expected
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# Test with with_ttl as string ("1 hour")
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until_datetime_expected = to_datetime().add(hours=1)
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ttl_string = "1 hour"
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result, ttl_duration = cache_file_store._until_datetime_by_options(with_ttl=ttl_string)
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assert compare_datetimes(result, until_datetime_expected).approximately_equal
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assert ttl_duration == ttl_duration_expected
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# -- From now on we expect a until_datetime today at end of day
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until_datetime_expected = to_datetime().end_of("day")
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ttl_duration_expected = None
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# Test default case (end of today)
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result, ttl_duration = cache_file_store._until_datetime_by_options()
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assert compare_datetimes(result, until_datetime_expected).equal
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assert ttl_duration == ttl_duration_expected
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# -- From now on we expect a until_datetime in one day at end of day
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until_datetime_expected = to_datetime().add(days=1).end_of("day")
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assert ttl_duration == ttl_duration_expected
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# Test with until_date as date
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until_date = date.today() + timedelta(days=1)
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result, ttl_duration = cache_file_store._until_datetime_by_options(until_date=until_date)
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assert compare_datetimes(result, until_datetime_expected).equal
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assert ttl_duration == ttl_duration_expected
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# -- Test with multiple options (until_datetime takes precedence)
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specific_datetime = to_datetime().add(days=2)
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result, ttl_duration = cache_file_store._until_datetime_by_options(
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until_date=to_datetime().add(days=1).date(),
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until_datetime=specific_datetime,
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with_ttl=ttl,
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)
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assert compare_datetimes(result, specific_datetime).equal
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assert ttl_duration is None
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# Test with invalid inputs
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with pytest.raises(ValueError):
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cache_file_store._until_datetime_by_options(until_date="invalid-date")
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with pytest.raises(ValueError):
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cache_file_store._until_datetime_by_options(with_ttl="invalid-ttl")
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with pytest.raises(ValueError):
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cache_file_store._until_datetime_by_options(until_datetime="invalid-datetime")
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def test_create_cache_file(self, cache_file_store):
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"""Test the creation of a cache file and ensure it is stored correctly."""
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# Create a cache file for today's date
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cache_file = cache_file_store.create("test_file", mode="w+", suffix=".txt")
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# Check that the file exists in the store and is a file-like object
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|
assert cache_file is not None
|
|
assert hasattr(cache_file, "name")
|
|
assert cache_file.name.endswith(".txt")
|
|
|
|
# Write some data to the file
|
|
cache_file.seek(0)
|
|
cache_file.write("Test data")
|
|
cache_file.seek(0) # Reset file pointer
|
|
assert cache_file.read() == "Test data"
|
|
|
|
def test_get_cache_file(self, cache_file_store):
|
|
"""Test retrieving an existing cache file by key."""
|
|
# Create a cache file and write data to it
|
|
cache_file = cache_file_store.create("test_file", mode="w+")
|
|
cache_file.seek(0)
|
|
cache_file.write("Test data")
|
|
cache_file.seek(0)
|
|
|
|
# Retrieve the cache file and verify the data
|
|
retrieved_file = cache_file_store.get("test_file")
|
|
assert retrieved_file is not None
|
|
retrieved_file.seek(0)
|
|
assert retrieved_file.read() == "Test data"
|
|
|
|
def test_set_custom_file_object(self, cache_file_store):
|
|
"""Test setting a custom file-like object (BytesIO or StringIO) in the store."""
|
|
# Create a BytesIO object and set it into the cache
|
|
file_obj = io.BytesIO(b"Binary data")
|
|
cache_file_store.set("binary_file", file_obj)
|
|
|
|
# Retrieve the file from the store
|
|
retrieved_file = cache_file_store.get("binary_file")
|
|
assert isinstance(retrieved_file, io.BytesIO)
|
|
retrieved_file.seek(0)
|
|
assert retrieved_file.read() == b"Binary data"
|
|
|
|
def test_delete_cache_file(self, cache_file_store):
|
|
"""Test deleting a cache file from the store."""
|
|
# Create multiple cache files
|
|
cache_file1 = cache_file_store.create("file1")
|
|
assert hasattr(cache_file1, "name")
|
|
cache_file2 = cache_file_store.create("file2")
|
|
assert hasattr(cache_file2, "name")
|
|
|
|
# Ensure the files are in the store
|
|
assert cache_file_store.get("file1") is cache_file1
|
|
assert cache_file_store.get("file2") is cache_file2
|
|
|
|
# Delete cache files
|
|
cache_file_store.delete("file1")
|
|
cache_file_store.delete("file2")
|
|
|
|
# Ensure the store is empty
|
|
assert cache_file_store.get("file1") is None
|
|
assert cache_file_store.get("file2") is None
|
|
|
|
def test_clear_all_cache_files(self, cache_file_store):
|
|
"""Test clearing all cache files from the store."""
|
|
# Create multiple cache files
|
|
cache_file1 = cache_file_store.create("file1")
|
|
assert hasattr(cache_file1, "name")
|
|
cache_file2 = cache_file_store.create("file2")
|
|
assert hasattr(cache_file2, "name")
|
|
|
|
# Ensure the files are in the store
|
|
assert cache_file_store.get("file1") is cache_file1
|
|
assert cache_file_store.get("file2") is cache_file2
|
|
|
|
current_store = cache_file_store.current_store()
|
|
assert current_store != {}
|
|
|
|
# Clear all cache files
|
|
cache_file_store.clear(clear_all=True)
|
|
|
|
# Ensure the store is empty
|
|
assert cache_file_store.get("file1") is None
|
|
assert cache_file_store.get("file2") is None
|
|
|
|
current_store = cache_file_store.current_store()
|
|
assert current_store == {}
|
|
|
|
def test_clear_cache_files_by_date(self, cache_file_store):
|
|
"""Test clearing cache files from the store by date."""
|
|
# Create multiple cache files
|
|
cache_file1 = cache_file_store.create("file1")
|
|
assert hasattr(cache_file1, "name")
|
|
cache_file2 = cache_file_store.create("file2")
|
|
assert hasattr(cache_file2, "name")
|
|
|
|
# Ensure the files are in the store
|
|
assert cache_file_store.get("file1") is cache_file1
|
|
assert cache_file_store.get("file2") is cache_file2
|
|
|
|
# Clear cache files that are older than today
|
|
cache_file_store.clear(before_datetime=to_datetime().start_of("day"))
|
|
|
|
# Ensure the files are in the store
|
|
assert cache_file_store.get("file1") is cache_file1
|
|
assert cache_file_store.get("file2") is cache_file2
|
|
|
|
# Clear cache files that are older than tomorrow
|
|
cache_file_store.clear(before_datetime=datetime.now() + timedelta(days=1))
|
|
|
|
# Ensure the store is empty
|
|
assert cache_file_store.get("file1") is None
|
|
assert cache_file_store.get("file2") is None
|
|
|
|
def test_cache_file_with_date(self, cache_file_store):
|
|
"""Test creating and retrieving cache files with a specific date."""
|
|
# Use a specific date for cache file creation
|
|
specific_date = datetime(2023, 10, 10)
|
|
cache_file = cache_file_store.create("dated_file", mode="w+", until_date=specific_date)
|
|
|
|
# Write data to the cache file
|
|
cache_file.write("Dated data")
|
|
cache_file.seek(0)
|
|
|
|
# Retrieve the cache file with the specific date
|
|
retrieved_file = cache_file_store.get("dated_file", until_date=specific_date)
|
|
assert retrieved_file is not None
|
|
retrieved_file.seek(0)
|
|
assert retrieved_file.read() == "Dated data"
|
|
|
|
def test_recreate_existing_cache_file(self, cache_file_store):
|
|
"""Test creating a cache file with an existing key does not overwrite the existing file."""
|
|
# Create a cache file
|
|
cache_file = cache_file_store.create("test_file", mode="w+")
|
|
cache_file.write("Original data")
|
|
cache_file.seek(0)
|
|
|
|
# Attempt to recreate the same file (should return the existing one)
|
|
new_file = cache_file_store.create("test_file")
|
|
assert new_file is cache_file # Should be the same object
|
|
new_file.seek(0)
|
|
assert new_file.read() == "Original data" # Data should be preserved
|
|
|
|
# Assure cache file store is a singleton
|
|
cache_file_store2 = CacheFileStore()
|
|
new_file = cache_file_store2.get("test_file")
|
|
assert new_file is cache_file # Should be the same object
|
|
|
|
def test_cache_file_store_is_singleton(self, cache_file_store):
|
|
"""Test re-creating a cache store provides the same store."""
|
|
# Create a cache file
|
|
cache_file = cache_file_store.create("test_file", mode="w+")
|
|
cache_file.write("Original data")
|
|
cache_file.seek(0)
|
|
|
|
# Assure cache file store is a singleton
|
|
cache_file_store2 = CacheFileStore()
|
|
new_file = cache_file_store2.get("test_file")
|
|
assert new_file is cache_file # Should be the same object
|
|
|
|
def test_cache_file_store_save_store(self, cache_file_store):
|
|
# Creating a sample cache record
|
|
cache_file = MagicMock()
|
|
cache_file.name = "cache_file_path"
|
|
cache_file.mode = "wb+"
|
|
cache_record = CacheFileRecord(
|
|
cache_file=cache_file, until_datetime=to_datetime(), ttl_duration=None
|
|
)
|
|
cache_file_store._store = {"test_key": cache_record}
|
|
|
|
# Save the store to the file
|
|
cache_file_store.save_store()
|
|
|
|
# Verify the file content
|
|
with cache_file_store._store_file.open("r", encoding="utf-8", newline=None) as f:
|
|
store_loaded = json.load(f)
|
|
assert "test_key" in store_loaded
|
|
assert store_loaded["test_key"]["cache_file"] == "cache_file_path"
|
|
assert store_loaded["test_key"]["mode"] == "wb+"
|
|
assert store_loaded["test_key"]["until_datetime"] == to_datetime(
|
|
cache_record.until_datetime, as_string=True
|
|
)
|
|
assert store_loaded["test_key"]["ttl_duration"] is None
|
|
|
|
def test_cache_file_store_load_store(self, cache_file_store):
|
|
# Creating a sample cache record and save it to the file
|
|
cache_record = {
|
|
"test_key": {
|
|
"cache_file": "cache_file_path",
|
|
"mode": "wb+",
|
|
"until_datetime": to_datetime(as_string=True),
|
|
"ttl_duration": None,
|
|
}
|
|
}
|
|
with cache_file_store._store_file.open("w", encoding="utf-8", newline="\n") as f:
|
|
json.dump(cache_record, f, indent=4)
|
|
|
|
# Mock the open function to return a MagicMock for the cache file
|
|
with patch("builtins.open", new_callable=MagicMock) as mock_open:
|
|
mock_open.return_value.name = "cache_file_path"
|
|
mock_open.return_value.mode = "wb+"
|
|
|
|
# Load the store from the file
|
|
cache_file_store.load_store()
|
|
|
|
# Verify the loaded store
|
|
assert "test_key" in cache_file_store._store
|
|
loaded_record = cache_file_store._store["test_key"]
|
|
assert loaded_record.cache_file.name == "cache_file_path"
|
|
assert loaded_record.cache_file.mode == "wb+"
|
|
assert loaded_record.until_datetime == to_datetime(
|
|
cache_record["test_key"]["until_datetime"]
|
|
)
|
|
assert loaded_record.ttl_duration is None
|
|
|
|
|
|
class TestCacheFileDecorators:
|
|
def test_cache_in_file_decorator_caches_function_result(self, cache_file_store):
|
|
"""Test that the cache_in_file decorator caches a function result."""
|
|
# Clear store to assure it is empty
|
|
cache_file_store.clear(clear_all=True)
|
|
assert len(cache_file_store._store) == 0
|
|
|
|
# Define a simple function to decorate
|
|
@cache_in_file(mode="w+")
|
|
def my_function(until_date=None):
|
|
return "Some expensive computation result"
|
|
|
|
# Call the decorated function (should store result in cache)
|
|
result = my_function(until_date=datetime.now() + timedelta(days=1))
|
|
assert result == "Some expensive computation result"
|
|
|
|
# Assert that the create method was called to store the result
|
|
assert len(cache_file_store._store) == 1
|
|
|
|
# Check if the result was written to the cache file
|
|
key = next(iter(cache_file_store._store))
|
|
cache_file = cache_file_store._store[key].cache_file
|
|
assert cache_file is not None
|
|
|
|
# Assert correct content was written to the file
|
|
cache_file.seek(0) # Move to the start of the file
|
|
assert cache_file.read() == "Some expensive computation result"
|
|
|
|
def test_cache_in_file_decorator_uses_cache(self, cache_file_store):
|
|
"""Test that the cache_in_file decorator reuses cached file on subsequent calls."""
|
|
# Clear store to assure it is empty
|
|
cache_file_store.clear(clear_all=True)
|
|
assert len(cache_file_store._store) == 0
|
|
|
|
# Define a simple function to decorate
|
|
@cache_in_file(mode="w+")
|
|
def my_function(until_date=None):
|
|
return "New result"
|
|
|
|
# Call the decorated function (should store result in cache)
|
|
result = my_function(until_date=to_datetime().add(days=1))
|
|
assert result == "New result"
|
|
|
|
# Assert result was written to cache file
|
|
key = next(iter(cache_file_store._store))
|
|
cache_file = cache_file_store._store[key].cache_file
|
|
assert cache_file is not None
|
|
cache_file.seek(0) # Move to the start of the file
|
|
assert cache_file.read() == result
|
|
|
|
# Modify cache file
|
|
result2 = "Cached result"
|
|
cache_file.seek(0)
|
|
cache_file.write(result2)
|
|
|
|
# Call the decorated function again (should get result from cache)
|
|
result = my_function(until_date=to_datetime().add(days=1))
|
|
assert result == result2
|
|
|
|
def test_cache_in_file_decorator_forces_update_data(self, cache_file_store):
|
|
"""Test that the cache_in_file decorator reuses cached file on subsequent calls."""
|
|
# Clear store to assure it is empty
|
|
cache_file_store.clear(clear_all=True)
|
|
assert len(cache_file_store._store) == 0
|
|
|
|
# Define a simple function to decorate
|
|
@cache_in_file(mode="w+")
|
|
def my_function(until_date=None):
|
|
return "New result"
|
|
|
|
until_date = to_datetime().add(days=1).date()
|
|
|
|
# Call the decorated function (should store result in cache)
|
|
result1 = "New result"
|
|
result = my_function(until_date=until_date)
|
|
assert result == result1
|
|
|
|
# Assert result was written to cache file
|
|
key = next(iter(cache_file_store._store))
|
|
cache_file = cache_file_store._store[key].cache_file
|
|
assert cache_file is not None
|
|
cache_file.seek(0) # Move to the start of the file
|
|
assert cache_file.read() == result
|
|
|
|
# Modify cache file
|
|
result2 = "Cached result"
|
|
cache_file.seek(0)
|
|
cache_file.write(result2)
|
|
cache_file.seek(0) # Move to the start of the file
|
|
assert cache_file.read() == result2
|
|
|
|
# Call the decorated function again with force update (should get result from function)
|
|
result = my_function(until_date=until_date, force_update=True) # type: ignore[call-arg]
|
|
assert result == result1
|
|
|
|
# Assure result was written to the same cache file
|
|
cache_file.seek(0) # Move to the start of the file
|
|
assert cache_file.read() == result1
|
|
|
|
def test_cache_in_file_handles_ttl(self, cache_file_store):
|
|
"""Test that the cache_infile decorator handles the with_ttl parameter."""
|
|
|
|
# Define a simple function to decorate
|
|
@cache_in_file(mode="w+")
|
|
def my_function():
|
|
return "New result"
|
|
|
|
# Call the decorated function
|
|
result1 = my_function(with_ttl="1 second") # type: ignore[call-arg]
|
|
assert result1 == "New result"
|
|
assert len(cache_file_store._store) == 1
|
|
key = list(cache_file_store._store.keys())[0]
|
|
|
|
# Assert result was written to cache file
|
|
key = next(iter(cache_file_store._store))
|
|
cache_file = cache_file_store._store[key].cache_file
|
|
assert cache_file is not None
|
|
cache_file.seek(0) # Move to the start of the file
|
|
assert cache_file.read() == result1
|
|
|
|
# Modify cache file
|
|
result2 = "Cached result"
|
|
cache_file.seek(0)
|
|
cache_file.write(result2)
|
|
cache_file.seek(0) # Move to the start of the file
|
|
assert cache_file.read() == result2
|
|
|
|
# Call the decorated function again
|
|
result = my_function(with_ttl="1 second") # type: ignore[call-arg]
|
|
cache_file.seek(0) # Move to the start of the file
|
|
assert cache_file.read() == result2
|
|
assert result == result2
|
|
|
|
# Wait one second to let the cache time out
|
|
sleep(2)
|
|
|
|
# Call again - cache should be timed out
|
|
result = my_function(with_ttl="1 second") # type: ignore[call-arg]
|
|
assert result == result1
|
|
|
|
def test_cache_in_file_handles_bytes_return(self, cache_file_store):
|
|
"""Test that the cache_infile decorator handles bytes returned from the function."""
|
|
# Clear store to assure it is empty
|
|
cache_file_store.clear(clear_all=True)
|
|
assert len(cache_file_store._store) == 0
|
|
|
|
# Define a function that returns bytes
|
|
@cache_in_file()
|
|
def my_function(until_date=None) -> bytes:
|
|
return b"Some binary data"
|
|
|
|
# Call the decorated function
|
|
result = my_function(until_date=datetime.now() + timedelta(days=1))
|
|
|
|
# Check if the binary data was written to the cache file
|
|
key = next(iter(cache_file_store._store))
|
|
cache_file = cache_file_store._store[key].cache_file
|
|
assert len(cache_file_store._store) == 1
|
|
assert cache_file is not None
|
|
cache_file.seek(0)
|
|
result1 = pickle.load(cache_file)
|
|
assert result1 == result
|
|
|
|
# Access cache
|
|
result = my_function(until_date=datetime.now() + timedelta(days=1))
|
|
assert len(cache_file_store._store) == 1
|
|
assert cache_file_store._store[key].cache_file is not None
|
|
assert result1 == result
|