Files
EOS/tests/conftest.py
Bobby Noelte b397b5d43e fix: automatic optimization (#596)
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>
2025-10-28 02:50:31 +01:00

560 lines
18 KiB
Python

import json
import logging
import os
import signal
import subprocess
import sys
import tempfile
import time
from contextlib import contextmanager
from http import HTTPStatus
from pathlib import Path
from typing import Generator, Optional, Union
from unittest.mock import PropertyMock, patch
import pendulum
import psutil
import pytest
import requests
from _pytest.logging import LogCaptureFixture
from loguru import logger
from xprocess import ProcessStarter, XProcess
from akkudoktoreos.config.config import ConfigEOS, get_config
from akkudoktoreos.server.server import get_default_host
# -----------------------------------------------
# Adapt pytest logging handling to Loguru logging
# -----------------------------------------------
@pytest.fixture
def caplog(caplog: LogCaptureFixture):
"""Propagate Loguru logs to the pytest caplog handler."""
handler_id = logger.add(
caplog.handler,
format="{message}",
level=0,
filter=lambda record: record["level"].no >= caplog.handler.level,
enqueue=False, # Set to 'True' if your test is spawning child processes.
)
yield caplog
try:
logger.remove(handler_id)
except:
# May already be deleted
pass
@pytest.fixture
def reportlog(pytestconfig):
"""Propagate Loguru logs to the pytest terminal reporter."""
logging_plugin = pytestconfig.pluginmanager.getplugin("logging-plugin")
handler_id = logger.add(logging_plugin.report_handler, format="{message}")
yield
try:
logger.remove(handler_id)
except:
# May already be deleted
pass
@pytest.fixture(autouse=True)
def propagate_logs():
"""Deal with the pytest --log-cli-level command-line flag.
This option controls the standard logging logs, not loguru ones.
For this reason, we first install a PropagateHandler for compatibility.
"""
class PropagateHandler(logging.Handler):
def emit(self, record):
if logging.getLogger(record.name).isEnabledFor(record.levelno):
logging.getLogger(record.name).handle(record)
logger.remove()
logger.add(PropagateHandler(), format="{message}")
yield
@pytest.fixture()
def disable_debug_logging(scope="session", autouse=True):
"""Automatically disable debug logging for all tests."""
logger.remove() # Remove all loggers
logger.add(sys.stderr, level="INFO") # Only show INFO and above
# -----------------------------------------------
# Provide pytest options for specific test setups
# -----------------------------------------------
def pytest_addoption(parser):
parser.addoption(
"--full-run", action="store_true", default=False, help="Run with all optimization tests."
)
parser.addoption(
"--check-config-side-effect",
action="store_true",
default=False,
help="Verify that user config file is non-existent (will also fail if user config file exists before test run).",
)
parser.addoption(
"--system-test",
action="store_true",
default=False,
help="System test mode. Tests may access real resources, like prediction providers!",
)
@pytest.fixture
def is_full_run(request):
yield bool(request.config.getoption("--full-run"))
@pytest.fixture(autouse=True)
def config_mixin(config_eos):
with patch(
"akkudoktoreos.core.coreabc.ConfigMixin.config", new_callable=PropertyMock
) as config_mixin_patch:
config_mixin_patch.return_value = config_eos
yield config_mixin_patch
@pytest.fixture
def is_system_test(request):
yield bool(request.config.getoption("--system-test"))
@pytest.fixture
def prediction_eos():
from akkudoktoreos.prediction.prediction import get_prediction
return get_prediction()
# Test if test has side effect of writing to system (user) config file
# Before activating, make sure that no user config file exists (e.g. ~/.config/net.akkudoktoreos.eos/EOS.config.json)
@pytest.fixture(autouse=True)
def cfg_non_existent(request):
if not bool(request.config.getoption("--check-config-side-effect")):
yield
return
# Before test
from platformdirs import user_config_dir
user_dir = user_config_dir(ConfigEOS.APP_NAME)
user_config_file = Path(user_dir).joinpath(ConfigEOS.CONFIG_FILE_NAME)
cwd_config_file = Path.cwd().joinpath(ConfigEOS.CONFIG_FILE_NAME)
assert not user_config_file.exists(), (
f"Config file {user_config_file} exists, please delete before test!"
)
assert not cwd_config_file.exists(), (
f"Config file {cwd_config_file} exists, please delete before test!"
)
# Yield to test
yield
# After test
assert not user_config_file.exists(), (
f"Config file {user_config_file} created, please check test!"
)
assert not cwd_config_file.exists(), (
f"Config file {cwd_config_file} created, please check test!"
)
@pytest.fixture(autouse=True)
def user_cwd(config_default_dirs):
"""Patch cwd provided by module pathlib.Path.cwd."""
with patch(
"pathlib.Path.cwd",
return_value=config_default_dirs[1],
) as user_cwd_patch:
yield user_cwd_patch
@pytest.fixture(autouse=True)
def user_config_dir(config_default_dirs):
"""Patch user_config_dir provided by module platformdirs."""
with patch(
"akkudoktoreos.config.config.user_config_dir",
return_value=str(config_default_dirs[0]),
) as user_dir_patch:
yield user_dir_patch
@pytest.fixture(autouse=True)
def user_data_dir(config_default_dirs):
"""Patch user_data_dir provided by module platformdirs."""
with patch(
"akkudoktoreos.config.config.user_data_dir",
return_value=str(config_default_dirs[-1] / "data"),
) as user_dir_patch:
yield user_dir_patch
@pytest.fixture
def config_eos(
disable_debug_logging,
user_config_dir,
user_data_dir,
user_cwd,
config_default_dirs,
monkeypatch,
) -> ConfigEOS:
"""Fixture to reset EOS config to default values."""
monkeypatch.setenv(
"EOS_CONFIG__DATA_CACHE_SUBPATH", str(config_default_dirs[-1] / "data/cache")
)
monkeypatch.setenv(
"EOS_CONFIG__DATA_OUTPUT_SUBPATH", str(config_default_dirs[-1] / "data/output")
)
config_file = config_default_dirs[0] / ConfigEOS.CONFIG_FILE_NAME
config_file_cwd = config_default_dirs[1] / ConfigEOS.CONFIG_FILE_NAME
assert not config_file.exists()
assert not config_file_cwd.exists()
config_eos = get_config()
config_eos.reset_settings()
assert config_file == config_eos.general.config_file_path
assert config_file.exists()
assert not config_file_cwd.exists()
# Check user data directory pathes (config_default_dirs[-1] == data_default_dir_user)
assert config_default_dirs[-1] / "data" == config_eos.general.data_folder_path
assert config_default_dirs[-1] / "data/cache" == config_eos.cache.path()
assert config_default_dirs[-1] / "data/output" == config_eos.general.data_output_path
assert config_default_dirs[-1] / "data/output/eos.log" == config_eos.logging.file_path
return config_eos
@pytest.fixture
def config_default_dirs(tmpdir):
"""Fixture that provides a list of directories to be used as config dir."""
tmp_user_home_dir = Path(tmpdir)
# Default config directory from platform user config directory
config_default_dir_user = tmp_user_home_dir / "config"
# Default config directory from current working directory
config_default_dir_cwd = tmp_user_home_dir / "cwd"
config_default_dir_cwd.mkdir()
# Default config directory from default config file
config_default_dir_default = Path(__file__).parent.parent.joinpath("src/akkudoktoreos/data")
# Default data directory from platform user data directory
data_default_dir_user = tmp_user_home_dir
return (
config_default_dir_user,
config_default_dir_cwd,
config_default_dir_default,
data_default_dir_user,
)
# ------------------------------------
# Provide pytest EOS server management
# ------------------------------------
def cleanup_eos_eosdash(
host: str,
port: int,
eosdash_host: str,
eosdash_port: int,
server_timeout: float = 10.0,
) -> None:
"""Clean up any running EOS and EOSdash processes.
Args:
host (str): EOS server host (e.g., "127.0.0.1").
port (int): Port number used by the EOS process.
eosdash_hostr (str): EOSdash server host.
eosdash_port (int): Port used by EOSdash.
server_timeout (float): Timeout in seconds before giving up.
"""
server = f"http://{host}:{port}"
eosdash_server = f"http://{eosdash_host}:{eosdash_port}"
sigkill = signal.SIGTERM if os.name == "nt" else signal.SIGKILL
# Attempt to shut down EOS via health endpoint
try:
result = requests.get(f"{server}/v1/health", timeout=2)
if result.status_code == HTTPStatus.OK:
pid = result.json()["pid"]
os.kill(pid, sigkill)
time.sleep(1)
result = requests.get(f"{server}/v1/health", timeout=2)
assert result.status_code != HTTPStatus.OK
except Exception:
pass
# Fallback: kill processes bound to the EOS port
pids: list[int] = []
for _ in range(int(server_timeout / 3)):
for conn in psutil.net_connections(kind="inet"):
if conn.laddr.port == port and conn.pid is not None:
try:
process = psutil.Process(conn.pid)
cmdline = process.as_dict(attrs=["cmdline"])["cmdline"]
if "akkudoktoreos.server.eos" in " ".join(cmdline):
pids.append(conn.pid)
except Exception:
pass
for pid in pids:
os.kill(pid, sigkill)
running = False
for pid in pids:
try:
proc = psutil.Process(pid)
status = proc.status()
if status != psutil.STATUS_ZOMBIE:
running = True
break
except psutil.NoSuchProcess:
continue
if not running:
break
time.sleep(3)
# Check for processes still running (maybe zombies).
for pid in pids:
try:
proc = psutil.Process(pid)
status = proc.status()
assert status == psutil.STATUS_ZOMBIE, f"Cleanup EOS expected zombie, got {status} for PID {pid}"
except psutil.NoSuchProcess:
# Process already reaped (possibly by init/systemd)
continue
# Attempt to shut down EOSdash via health endpoint
for srv in (eosdash_server, "http://127.0.0.1:8504", "http://127.0.0.1:8555"):
try:
result = requests.get(f"{srv}/eosdash/health", timeout=2)
if result.status_code == HTTPStatus.OK:
pid = result.json()["pid"]
os.kill(pid, sigkill)
time.sleep(1)
result = requests.get(f"{srv}/eosdash/health", timeout=2)
assert result.status_code != HTTPStatus.OK
except Exception:
pass
# Fallback: kill EOSdash processes bound to known ports
pids = []
for _ in range(int(server_timeout / 3)):
for conn in psutil.net_connections(kind="inet"):
if conn.laddr.port in (eosdash_port, 8504, 8555) and conn.pid is not None:
try:
process = psutil.Process(conn.pid)
cmdline = process.as_dict(attrs=["cmdline"])["cmdline"]
if "akkudoktoreos.server.eosdash" in " ".join(cmdline):
pids.append(conn.pid)
except Exception:
pass
for pid in pids:
os.kill(pid, sigkill)
running = False
for pid in pids:
try:
proc = psutil.Process(pid)
status = proc.status()
if status != psutil.STATUS_ZOMBIE:
running = True
break
except psutil.NoSuchProcess:
continue
if not running:
break
time.sleep(3)
# Check for processes still running (maybe zombies).
for pid in pids:
try:
proc = psutil.Process(pid)
status = proc.status()
assert status == psutil.STATUS_ZOMBIE, f"Cleanup EOSdash expected zombie, got {status} for PID {pid}"
except psutil.NoSuchProcess:
# Process already reaped (possibly by init/systemd)
continue
@contextmanager
def server_base(
xprocess: XProcess,
extra_env: Optional[dict[str, str]] = None
) -> Generator[dict[str, Union[str, int]], None, None]:
"""Fixture to start the server with temporary EOS_DIR and default config.
Args:
xprocess (XProcess): The pytest-xprocess fixture to manage the server process.
extra_env (Optional[dict[str, str]]): Environment variables to set before server startup.
Yields:
dict[str, str]: A dictionary containing:
- "server" (str): URL of the server.
- "eos_dir" (str): Path to the temporary EOS_DIR.
"""
host = get_default_host()
port = 8503
server = f"http://{host}:{port}"
# Port of server may be still blocked by a server usage despite the other server already
# shut down. CLOSE_WAIT, TIME_WAIT may typically take up to 120 seconds.
server_timeout = 120
if extra_env and extra_env.get("EOS_SERVER__EOSDASH_HOST", None):
eosdash_host = extra_env["EOS_SERVER__EOSDASH_HOST"]
else:
eosdash_host = host
if extra_env and extra_env.get("EOS_SERVER__EOSDASH_PORT", None):
eosdash_port: int = int(extra_env["EOS_SERVER__EOSDASH_PORT"])
else:
eosdash_port = 8504
eosdash_server = f"http://{eosdash_host}:{eosdash_port}"
eos_tmp_dir = tempfile.TemporaryDirectory()
eos_dir = str(eos_tmp_dir.name)
class Starter(ProcessStarter):
# assure server to be installed
try:
project_dir = Path(__file__).parent.parent
subprocess.run(
[sys.executable, "-c", "import", "akkudoktoreos.server.eos"],
check=True,
env=os.environ,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
cwd=project_dir,
)
except subprocess.CalledProcessError:
subprocess.run(
[sys.executable, "-m", "pip", "install", "-e", str(project_dir)],
env=os.environ,
check=True,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
cwd=project_dir,
)
# Set environment for server run
env = os.environ.copy()
env["EOS_DIR"] = eos_dir
env["EOS_CONFIG_DIR"] = eos_dir
if extra_env:
env.update(extra_env)
# Set command to start server process
args = [
sys.executable,
"-m",
"akkudoktoreos.server.eos",
"--host",
host,
"--port",
str(port),
]
# Will wait for 'server_timeout' seconds before timing out
timeout = server_timeout
# xprocess will now attempt to clean up upon interruptions
terminate_on_interrupt = True
# checks if our server is ready
def startup_check(self):
try:
response = requests.get(f"{server}/v1/health", timeout=10)
logger.debug(f"[xprocess] Health check: {response.status_code}")
if response.status_code == 200:
return True
logger.debug(f"[xprocess] Health check: {response}")
except Exception as e:
logger.debug(f"[xprocess] Exception during health check: {e}")
return False
# Kill all running eos and eosdash process - just to be sure
cleanup_eos_eosdash(host, port, eosdash_host, eosdash_port, server_timeout)
# Ensure there is an empty config file in the temporary EOS directory
config_file_path = Path(eos_dir).joinpath(ConfigEOS.CONFIG_FILE_NAME)
with config_file_path.open(mode="w", encoding="utf-8", newline="\n") as fd:
json.dump({}, fd)
# ensure process is running and return its logfile
pid, logfile = xprocess.ensure("eos", Starter)
logger.info(f"Started EOS ({pid}). This may take very long (up to {server_timeout} seconds).")
logger.info(f"View xprocess logfile at: {logfile}")
yield {
"server": server,
"port": port,
"eosdash_server": eosdash_server,
"eosdash_port": eosdash_port,
"eos_dir": eos_dir,
"timeout": server_timeout,
}
# clean up whole process tree afterwards
xprocess.getinfo("eos").terminate()
# Cleanup any EOS process left.
cleanup_eos_eosdash(host, port, eosdash_host, eosdash_port, server_timeout)
# Remove temporary EOS_DIR
eos_tmp_dir.cleanup()
@pytest.fixture(scope="class")
def server_setup_for_class(request, xprocess) -> Generator[dict[str, Union[str, int]], None, None]:
"""A fixture to start the server for a test class.
Get env vars from the test class attribute `eos_env`, if defined
"""
extra_env = getattr(request.cls, "eos_env", None)
with server_base(xprocess, extra_env=extra_env) as result:
yield result
@pytest.fixture(scope="function")
def server_setup_for_function(xprocess) -> Generator[dict[str, Union[str, int]], None, None]:
"""A fixture to start the server for a test function."""
with server_base(xprocess) as result:
yield result
# ------------------------------
# Provide pytest timezone change
# ------------------------------
@pytest.fixture
def set_other_timezone():
"""Temporarily sets a timezone for Pendulum during a test.
Resets to the original timezone after the test completes.
"""
original_timezone = pendulum.local_timezone()
default_other_timezone = "Atlantic/Canary"
if default_other_timezone == original_timezone:
default_other_timezone = "Asia/Singapore"
def _set_timezone(other_timezone: Optional[str] = None) -> str:
if other_timezone is None:
other_timezone = default_other_timezone
pendulum.set_local_timezone(other_timezone)
assert pendulum.local_timezone() == other_timezone
return other_timezone
yield _set_timezone
# Restore the original timezone
pendulum.set_local_timezone(original_timezone)
assert pendulum.local_timezone() == original_timezone