EOS/tests/test_cachefilestore.py

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Add test to PVForecast (#174) * Add documentation to class_pv_forecast.py. Added documentation. Beware mostly generated by ChatGPT. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> * Add CacheFileStore, datetime and logger utilities. The `CacheFileStore` class is a singleton-based, thread-safe key-value store for managing temporary file objects, allowing the creation, retrieval, and management of cache files. The utility modules offer a flexible logging setup (`get_logger`) and utilities to handle different date-time formats (`to_datetime`, `to_timestamp`) and timezone detection (`to_timezone). - Cache files are automatically valid for the the current date unless specified otherwise. This is to mimic the current behaviour used in several classes. - The logger supports rotating log files to prevent excessive log file size. - The `to_datetime` and `to_timestamp`functions support a wide variety of input types and formats. They provide the time conversion that is e.g. used in PVForecast. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> * Improve testability of PVForecast Improvements for testing of PVForecast - Use common utility functions to allow for general testing at one spot. - to_datetime - CacheFileStore - Use logging instead of print to easily capture in testing. - Add validation of the json schema for Akkudoktor PV forecast data. - Allow to create an empty PVForecast instance as base instance for testing. - Make process_data() complete for filling a PVForecast instance for testing. - Normalize forecast datetime to timezone of system given in loaded data. - Do not print report but provide report for test checks. - Get rid of cache file path using the CachFileStore to automate cache file usage. - Improved module documentation. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> * Add test for PVForecast and newly extracted utility modules. - Add test for PVForecast - Add test for CacheFileStore in the new cachefilestore module - Add test for to_datetime, to_timestamp, to_timezone in the new datetimeutil module - Add test for get_logger in the new logutil module Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> --------- Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> Co-authored-by: Normann <github@koldrack.com>
2024-11-10 23:49:10 +01:00
"""Test Module for CacheFileStore Module."""
import io
import pickle
from datetime import date, datetime, time, timedelta
from time import sleep
import pytest
from akkudoktoreos.utils.cachefilestore import CacheFileStore, cache_in_file
from akkudoktoreos.utils.datetimeutil import to_datetime
Add test to PVForecast (#174) * Add documentation to class_pv_forecast.py. Added documentation. Beware mostly generated by ChatGPT. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> * Add CacheFileStore, datetime and logger utilities. The `CacheFileStore` class is a singleton-based, thread-safe key-value store for managing temporary file objects, allowing the creation, retrieval, and management of cache files. The utility modules offer a flexible logging setup (`get_logger`) and utilities to handle different date-time formats (`to_datetime`, `to_timestamp`) and timezone detection (`to_timezone). - Cache files are automatically valid for the the current date unless specified otherwise. This is to mimic the current behaviour used in several classes. - The logger supports rotating log files to prevent excessive log file size. - The `to_datetime` and `to_timestamp`functions support a wide variety of input types and formats. They provide the time conversion that is e.g. used in PVForecast. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> * Improve testability of PVForecast Improvements for testing of PVForecast - Use common utility functions to allow for general testing at one spot. - to_datetime - CacheFileStore - Use logging instead of print to easily capture in testing. - Add validation of the json schema for Akkudoktor PV forecast data. - Allow to create an empty PVForecast instance as base instance for testing. - Make process_data() complete for filling a PVForecast instance for testing. - Normalize forecast datetime to timezone of system given in loaded data. - Do not print report but provide report for test checks. - Get rid of cache file path using the CachFileStore to automate cache file usage. - Improved module documentation. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> * Add test for PVForecast and newly extracted utility modules. - Add test for PVForecast - Add test for CacheFileStore in the new cachefilestore module - Add test for to_datetime, to_timestamp, to_timezone in the new datetimeutil module - Add test for get_logger in the new logutil module Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> --------- Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> Co-authored-by: Normann <github@koldrack.com>
2024-11-10 23:49:10 +01:00
# -----------------------------
# CacheFileStore
# -----------------------------
@pytest.fixture
def cache_store():
"""A pytest fixture that creates a new CacheFileStore instance for testing."""
return CacheFileStore()
def test_generate_cache_file_key(cache_store):
"""Test cache file key generation based on URL and date."""
key = "http://example.com"
until_dt = to_datetime("2024-10-01").date()
cache_file_key, cache_file_until_dt = cache_store._generate_cache_file_key(key, until_dt)
assert cache_file_key is not None
assert cache_file_until_dt == until_dt
# Provide no until date - assure today EOD is used.
until_dt = datetime.combine(date.today(), time.max)
cache_file_key, cache_file_until_dt = cache_store._generate_cache_file_key(key, None)
assert cache_file_until_dt == until_dt
cache_file_key1, cache_file_until_dt1 = cache_store._generate_cache_file_key(key, until_dt)
assert cache_file_key == cache_file_key1
assert cache_file_until_dt == until_dt
def test_get_file_path(cache_store):
"""Test get file path from cache file object."""
cache_file = cache_store.create("test_file", mode="w+", suffix=".txt")
file_path = cache_store._get_file_path(cache_file)
assert file_path is not None
def test_create_cache_file(cache_store):
"""Test the creation of a cache file and ensure it is stored correctly."""
# Create a cache file for today's date
cache_file = cache_store.create("test_file", mode="w+", suffix=".txt")
# Check that the file exists in the store and is a file-like object
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(cache_store):
"""Test retrieving an existing cache file by key."""
# Create a cache file and write data to it
cache_file = cache_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_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(cache_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_store.set("binary_file", file_obj)
# Retrieve the file from the store
retrieved_file = cache_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(cache_store):
"""Test deleting a cache file from the store."""
# Create multiple cache files
cache_file1 = cache_store.create("file1")
assert hasattr(cache_file1, "name")
cache_file2 = cache_store.create("file2")
assert hasattr(cache_file2, "name")
# Ensure the files are in the store
assert cache_store.get("file1") is cache_file1
assert cache_store.get("file2") is cache_file2
# Delete cache files
cache_store.delete("file1")
cache_store.delete("file2")
# Ensure the store is empty
assert cache_store.get("file1") is None
assert cache_store.get("file2") is None
def test_clear_all_cache_files(cache_store):
"""Test clearing all cache files from the store."""
# Create multiple cache files
cache_file1 = cache_store.create("file1")
assert hasattr(cache_file1, "name")
cache_file2 = cache_store.create("file2")
assert hasattr(cache_file2, "name")
# Ensure the files are in the store
assert cache_store.get("file1") is cache_file1
assert cache_store.get("file2") is cache_file2
# Clear all cache files
cache_store.clear(clear_all=True)
# Ensure the store is empty
assert cache_store.get("file1") is None
assert cache_store.get("file2") is None
def test_clear_cache_files_by_date(cache_store):
"""Test clearing cache files from the store by date."""
# Create multiple cache files
cache_file1 = cache_store.create("file1")
assert hasattr(cache_file1, "name")
cache_file2 = cache_store.create("file2")
assert hasattr(cache_file2, "name")
# Ensure the files are in the store
assert cache_store.get("file1") is cache_file1
assert cache_store.get("file2") is cache_file2
# Clear cache files that are older than today
cache_store.clear(before_datetime=datetime.combine(date.today(), time.min))
# Ensure the files are in the store
assert cache_store.get("file1") is cache_file1
assert cache_store.get("file2") is cache_file2
# Clear cache files that are older than tomorrow
cache_store.clear(before_datetime=datetime.now() + timedelta(days=1))
# Ensure the store is empty
assert cache_store.get("file1") is None
assert cache_store.get("file2") is None
def test_cache_file_with_date(cache_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_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_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(cache_store):
"""Test creating a cache file with an existing key does not overwrite the existing file."""
# Create a cache file
cache_file = cache_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_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_store2 = CacheFileStore()
new_file = cache_store2.get("test_file")
assert new_file is cache_file # Should be the same object
def test_cache_store_is_singleton(cache_store):
"""Test re-creating a cache store provides the same store."""
# Create a cache file
cache_file = cache_store.create("test_file", mode="w+")
cache_file.write("Original data")
cache_file.seek(0)
# Assure cache file store is a singleton
cache_store2 = CacheFileStore()
new_file = cache_store2.get("test_file")
assert new_file is cache_file # Should be the same object
def test_cache_in_file_decorator_caches_function_result(cache_store):
"""Test that the cache_in_file decorator caches a function result."""
# Clear store to assure it is empty
cache_store.clear(clear_all=True)
assert len(cache_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_store._store) == 1
# Check if the result was written to the cache file
key = next(iter(cache_store._store))
cache_file = cache_store._store[key][0]
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(cache_store):
"""Test that the cache_in_file decorator reuses cached file on subsequent calls."""
# Clear store to assure it is empty
cache_store.clear(clear_all=True)
assert len(cache_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=datetime.now() + timedelta(days=1))
assert result == "New result"
# Assert result was written to cache file
key = next(iter(cache_store._store))
cache_file = cache_store._store[key][0]
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=datetime.now() + timedelta(days=1))
assert result == result2
def test_cache_in_file_decorator_forces_update(cache_store):
"""Test that the cache_in_file decorator reuses cached file on subsequent calls."""
# Clear store to assure it is empty
cache_store.clear(clear_all=True)
assert len(cache_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 = datetime.now() + timedelta(days=1)
# 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_store._store))
cache_file = cache_store._store[key][0]
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 with force update (should get result from function)
result = my_function(until_date=until_date, force_update=True) # type: ignore[call-arg]
Add test to PVForecast (#174) * Add documentation to class_pv_forecast.py. Added documentation. Beware mostly generated by ChatGPT. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> * Add CacheFileStore, datetime and logger utilities. The `CacheFileStore` class is a singleton-based, thread-safe key-value store for managing temporary file objects, allowing the creation, retrieval, and management of cache files. The utility modules offer a flexible logging setup (`get_logger`) and utilities to handle different date-time formats (`to_datetime`, `to_timestamp`) and timezone detection (`to_timezone). - Cache files are automatically valid for the the current date unless specified otherwise. This is to mimic the current behaviour used in several classes. - The logger supports rotating log files to prevent excessive log file size. - The `to_datetime` and `to_timestamp`functions support a wide variety of input types and formats. They provide the time conversion that is e.g. used in PVForecast. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> * Improve testability of PVForecast Improvements for testing of PVForecast - Use common utility functions to allow for general testing at one spot. - to_datetime - CacheFileStore - Use logging instead of print to easily capture in testing. - Add validation of the json schema for Akkudoktor PV forecast data. - Allow to create an empty PVForecast instance as base instance for testing. - Make process_data() complete for filling a PVForecast instance for testing. - Normalize forecast datetime to timezone of system given in loaded data. - Do not print report but provide report for test checks. - Get rid of cache file path using the CachFileStore to automate cache file usage. - Improved module documentation. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> * Add test for PVForecast and newly extracted utility modules. - Add test for PVForecast - Add test for CacheFileStore in the new cachefilestore module - Add test for to_datetime, to_timestamp, to_timezone in the new datetimeutil module - Add test for get_logger in the new logutil module Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> --------- Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> Co-authored-by: Normann <github@koldrack.com>
2024-11-10 23:49:10 +01:00
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(cache_store):
"""Test that the cache_infile decorator handles the with_ttl parameter."""
# Clear store to assure it is empty
cache_store.clear(clear_all=True)
assert len(cache_store._store) == 0
# Define a simple function to decorate
@cache_in_file(mode="w+")
def my_function():
return "New result"
# Call the decorated function
result = my_function(with_ttl="1 second") # type: ignore[call-arg]
Add test to PVForecast (#174) * Add documentation to class_pv_forecast.py. Added documentation. Beware mostly generated by ChatGPT. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> * Add CacheFileStore, datetime and logger utilities. The `CacheFileStore` class is a singleton-based, thread-safe key-value store for managing temporary file objects, allowing the creation, retrieval, and management of cache files. The utility modules offer a flexible logging setup (`get_logger`) and utilities to handle different date-time formats (`to_datetime`, `to_timestamp`) and timezone detection (`to_timezone). - Cache files are automatically valid for the the current date unless specified otherwise. This is to mimic the current behaviour used in several classes. - The logger supports rotating log files to prevent excessive log file size. - The `to_datetime` and `to_timestamp`functions support a wide variety of input types and formats. They provide the time conversion that is e.g. used in PVForecast. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> * Improve testability of PVForecast Improvements for testing of PVForecast - Use common utility functions to allow for general testing at one spot. - to_datetime - CacheFileStore - Use logging instead of print to easily capture in testing. - Add validation of the json schema for Akkudoktor PV forecast data. - Allow to create an empty PVForecast instance as base instance for testing. - Make process_data() complete for filling a PVForecast instance for testing. - Normalize forecast datetime to timezone of system given in loaded data. - Do not print report but provide report for test checks. - Get rid of cache file path using the CachFileStore to automate cache file usage. - Improved module documentation. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> * Add test for PVForecast and newly extracted utility modules. - Add test for PVForecast - Add test for CacheFileStore in the new cachefilestore module - Add test for to_datetime, to_timestamp, to_timezone in the new datetimeutil module - Add test for get_logger in the new logutil module Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> --------- Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> Co-authored-by: Normann <github@koldrack.com>
2024-11-10 23:49:10 +01:00
# Overwrite cache file
key = next(iter(cache_store._store))
cache_file = cache_store._store[key][0]
assert cache_file is not None
cache_file.seek(0) # Move to the start of the file
cache_file.write("Modified result")
cache_file.seek(0) # Move to the start of the file
assert cache_file.read() == "Modified result"
result = my_function(with_ttl="1 second") # type: ignore[call-arg]
Add test to PVForecast (#174) * Add documentation to class_pv_forecast.py. Added documentation. Beware mostly generated by ChatGPT. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> * Add CacheFileStore, datetime and logger utilities. The `CacheFileStore` class is a singleton-based, thread-safe key-value store for managing temporary file objects, allowing the creation, retrieval, and management of cache files. The utility modules offer a flexible logging setup (`get_logger`) and utilities to handle different date-time formats (`to_datetime`, `to_timestamp`) and timezone detection (`to_timezone). - Cache files are automatically valid for the the current date unless specified otherwise. This is to mimic the current behaviour used in several classes. - The logger supports rotating log files to prevent excessive log file size. - The `to_datetime` and `to_timestamp`functions support a wide variety of input types and formats. They provide the time conversion that is e.g. used in PVForecast. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> * Improve testability of PVForecast Improvements for testing of PVForecast - Use common utility functions to allow for general testing at one spot. - to_datetime - CacheFileStore - Use logging instead of print to easily capture in testing. - Add validation of the json schema for Akkudoktor PV forecast data. - Allow to create an empty PVForecast instance as base instance for testing. - Make process_data() complete for filling a PVForecast instance for testing. - Normalize forecast datetime to timezone of system given in loaded data. - Do not print report but provide report for test checks. - Get rid of cache file path using the CachFileStore to automate cache file usage. - Improved module documentation. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> * Add test for PVForecast and newly extracted utility modules. - Add test for PVForecast - Add test for CacheFileStore in the new cachefilestore module - Add test for to_datetime, to_timestamp, to_timezone in the new datetimeutil module - Add test for get_logger in the new logutil module Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> --------- Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> Co-authored-by: Normann <github@koldrack.com>
2024-11-10 23:49:10 +01:00
assert result == "Modified result"
# Wait one second to let the cache time out
sleep(1)
# Call again - cache should be timed out
result = my_function(with_ttl="1 second") # type: ignore[call-arg]
Add test to PVForecast (#174) * Add documentation to class_pv_forecast.py. Added documentation. Beware mostly generated by ChatGPT. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> * Add CacheFileStore, datetime and logger utilities. The `CacheFileStore` class is a singleton-based, thread-safe key-value store for managing temporary file objects, allowing the creation, retrieval, and management of cache files. The utility modules offer a flexible logging setup (`get_logger`) and utilities to handle different date-time formats (`to_datetime`, `to_timestamp`) and timezone detection (`to_timezone). - Cache files are automatically valid for the the current date unless specified otherwise. This is to mimic the current behaviour used in several classes. - The logger supports rotating log files to prevent excessive log file size. - The `to_datetime` and `to_timestamp`functions support a wide variety of input types and formats. They provide the time conversion that is e.g. used in PVForecast. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> * Improve testability of PVForecast Improvements for testing of PVForecast - Use common utility functions to allow for general testing at one spot. - to_datetime - CacheFileStore - Use logging instead of print to easily capture in testing. - Add validation of the json schema for Akkudoktor PV forecast data. - Allow to create an empty PVForecast instance as base instance for testing. - Make process_data() complete for filling a PVForecast instance for testing. - Normalize forecast datetime to timezone of system given in loaded data. - Do not print report but provide report for test checks. - Get rid of cache file path using the CachFileStore to automate cache file usage. - Improved module documentation. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> * Add test for PVForecast and newly extracted utility modules. - Add test for PVForecast - Add test for CacheFileStore in the new cachefilestore module - Add test for to_datetime, to_timestamp, to_timezone in the new datetimeutil module - Add test for get_logger in the new logutil module Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> --------- Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> Co-authored-by: Normann <github@koldrack.com>
2024-11-10 23:49:10 +01:00
assert result == "New result"
def test_cache_in_file_handles_bytes_return(cache_store):
"""Test that the cache_infile decorator handles bytes returned from the function."""
# Clear store to assure it is empty
cache_store.clear(clear_all=True)
assert len(cache_store._store) == 0
# Define a function that returns bytes
@cache_in_file()
def my_function(until_date=None) -> bytes:
Add test to PVForecast (#174) * Add documentation to class_pv_forecast.py. Added documentation. Beware mostly generated by ChatGPT. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> * Add CacheFileStore, datetime and logger utilities. The `CacheFileStore` class is a singleton-based, thread-safe key-value store for managing temporary file objects, allowing the creation, retrieval, and management of cache files. The utility modules offer a flexible logging setup (`get_logger`) and utilities to handle different date-time formats (`to_datetime`, `to_timestamp`) and timezone detection (`to_timezone). - Cache files are automatically valid for the the current date unless specified otherwise. This is to mimic the current behaviour used in several classes. - The logger supports rotating log files to prevent excessive log file size. - The `to_datetime` and `to_timestamp`functions support a wide variety of input types and formats. They provide the time conversion that is e.g. used in PVForecast. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> * Improve testability of PVForecast Improvements for testing of PVForecast - Use common utility functions to allow for general testing at one spot. - to_datetime - CacheFileStore - Use logging instead of print to easily capture in testing. - Add validation of the json schema for Akkudoktor PV forecast data. - Allow to create an empty PVForecast instance as base instance for testing. - Make process_data() complete for filling a PVForecast instance for testing. - Normalize forecast datetime to timezone of system given in loaded data. - Do not print report but provide report for test checks. - Get rid of cache file path using the CachFileStore to automate cache file usage. - Improved module documentation. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> * Add test for PVForecast and newly extracted utility modules. - Add test for PVForecast - Add test for CacheFileStore in the new cachefilestore module - Add test for to_datetime, to_timestamp, to_timezone in the new datetimeutil module - Add test for get_logger in the new logutil module Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> --------- Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> Co-authored-by: Normann <github@koldrack.com>
2024-11-10 23:49:10 +01:00
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_store._store))
cache_file = cache_store._store[key][0]
assert len(cache_store._store) == 1
Add test to PVForecast (#174) * Add documentation to class_pv_forecast.py. Added documentation. Beware mostly generated by ChatGPT. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> * Add CacheFileStore, datetime and logger utilities. The `CacheFileStore` class is a singleton-based, thread-safe key-value store for managing temporary file objects, allowing the creation, retrieval, and management of cache files. The utility modules offer a flexible logging setup (`get_logger`) and utilities to handle different date-time formats (`to_datetime`, `to_timestamp`) and timezone detection (`to_timezone). - Cache files are automatically valid for the the current date unless specified otherwise. This is to mimic the current behaviour used in several classes. - The logger supports rotating log files to prevent excessive log file size. - The `to_datetime` and `to_timestamp`functions support a wide variety of input types and formats. They provide the time conversion that is e.g. used in PVForecast. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> * Improve testability of PVForecast Improvements for testing of PVForecast - Use common utility functions to allow for general testing at one spot. - to_datetime - CacheFileStore - Use logging instead of print to easily capture in testing. - Add validation of the json schema for Akkudoktor PV forecast data. - Allow to create an empty PVForecast instance as base instance for testing. - Make process_data() complete for filling a PVForecast instance for testing. - Normalize forecast datetime to timezone of system given in loaded data. - Do not print report but provide report for test checks. - Get rid of cache file path using the CachFileStore to automate cache file usage. - Improved module documentation. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> * Add test for PVForecast and newly extracted utility modules. - Add test for PVForecast - Add test for CacheFileStore in the new cachefilestore module - Add test for to_datetime, to_timestamp, to_timezone in the new datetimeutil module - Add test for get_logger in the new logutil module Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> --------- Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> Co-authored-by: Normann <github@koldrack.com>
2024-11-10 23:49:10 +01:00
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_store._store) == 1
assert cache_store._store[key][0] is not None
assert result1 == result