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EOS/tests/test_system.py
Bobby Noelte 0306e7e4ed
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fix: prediction import with pydantic-typed bodies (#1152)
Respect pydantic model in serializing json data for import.

Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
2026-07-16 17:15:10 +02:00

789 lines
32 KiB
Python

import json
import os
import random
import signal
import time
from http import HTTPStatus
from pathlib import Path
import pytest
import requests
from akkudoktoreos.utils.datetimeutil import to_datetime
DIR_TESTDATA = Path(__file__).absolute().parent.joinpath("testdata")
FILE_TESTDATA_EOSSERVER_CONFIG_1 = DIR_TESTDATA.joinpath("eosserver_config_1.json")
class TestSystem:
def test_prediction_brightsky(self, server_setup_for_class, is_system_test):
"""Test weather prediction by BrightSky."""
server = server_setup_for_class["server"]
eos_dir = server_setup_for_class["eos_dir"]
result = requests.get(f"{server}/v1/config", timeout=2)
assert result.status_code == HTTPStatus.OK
# Get testing config
config_json = result.json()
config_folder_path = Path(config_json["general"]["config_folder_path"])
# Assure we are working in test environment
assert str(config_folder_path).startswith(eos_dir)
result = requests.put(f"{server}/v1/config/weather/provider", json="BrightSky")
assert result.status_code == HTTPStatus.OK
# Assure prediction is enabled
result = requests.get(f"{server}/v1/prediction/providers?enabled=true")
assert result.status_code == HTTPStatus.OK
providers = result.json()
assert "BrightSky" in providers
if is_system_test:
result = requests.post(f"{server}/v1/prediction/update/BrightSky")
assert result.status_code == HTTPStatus.OK
result = requests.get(f"{server}/v1/prediction/series?key=weather_temp_air")
assert result.status_code == HTTPStatus.OK
data = result.json()
assert len(data["data"]) > 24
else:
pass
def test_prediction_clearoutside(self, server_setup_for_class, is_system_test):
"""Test weather prediction by ClearOutside."""
server = server_setup_for_class["server"]
eos_dir = server_setup_for_class["eos_dir"]
result = requests.put(f"{server}/v1/config/weather/provider", json="ClearOutside")
assert result.status_code == HTTPStatus.OK
# Assure prediction is enabled
result = requests.get(f"{server}/v1/prediction/providers?enabled=true")
assert result.status_code == HTTPStatus.OK
providers = result.json()
assert "ClearOutside" in providers
if is_system_test:
result = requests.post(f"{server}/v1/prediction/update/ClearOutside")
assert result.status_code == HTTPStatus.OK, f"Failed: {result.headers} {result.text}"
result = requests.get(f"{server}/v1/prediction/series?key=weather_temp_air")
assert result.status_code == HTTPStatus.OK
data = result.json()
assert len(data["data"]) > 24
else:
pass
def test_prediction_pvforecastakkudoktor(self, server_setup_for_class, is_system_test):
"""Test PV prediction by PVForecastAkkudoktor."""
server = server_setup_for_class["server"]
eos_dir = server_setup_for_class["eos_dir"]
# Reset config
with FILE_TESTDATA_EOSSERVER_CONFIG_1.open("r", encoding="utf-8", newline=None) as fd:
config = json.load(fd)
config["pvforecast"]["provider"] = "PVForecastAkkudoktor"
result = requests.put(f"{server}/v1/config", json=config)
assert result.status_code == HTTPStatus.OK
# Assure prediction is enabled
result = requests.get(f"{server}/v1/prediction/providers?enabled=true")
assert result.status_code == HTTPStatus.OK
providers = result.json()
assert "PVForecastAkkudoktor" in providers
if is_system_test:
result = requests.post(f"{server}/v1/prediction/update/PVForecastAkkudoktor")
assert result.status_code == HTTPStatus.OK, f"Failed: {result.headers} {result.text}"
result = requests.get(f"{server}/v1/prediction/series?key=pvforecast_ac_power")
assert result.status_code == HTTPStatus.OK
data = result.json()
assert len(data["data"]) > 24
else:
pass
def test_prediction_elecpriceakkudoktor(self, server_setup_for_class, is_system_test):
"""Test electricity price prediction by ElecPriceImport."""
server = server_setup_for_class["server"]
eos_dir = server_setup_for_class["eos_dir"]
# Reset config
with FILE_TESTDATA_EOSSERVER_CONFIG_1.open("r", encoding="utf-8", newline=None) as fd:
config = json.load(fd)
config["elecprice"]["provider"] = "ElecPriceAkkudoktor"
result = requests.put(f"{server}/v1/config", json=config)
assert result.status_code == HTTPStatus.OK
# Assure prediction is enabled
result = requests.get(f"{server}/v1/prediction/providers?enabled=true")
assert result.status_code == HTTPStatus.OK
providers = result.json()
assert "ElecPriceAkkudoktor" in providers
if is_system_test:
result = requests.post(f"{server}/v1/prediction/update/ElecPriceAkkudoktor")
assert result.status_code == HTTPStatus.OK
result = requests.get(f"{server}/v1/prediction/series?key=elecprice_marketprice_wh")
assert result.status_code == HTTPStatus.OK
data = result.json()
assert len(data["data"]) > 24
else:
pass
def test_prediction_loadakkudoktor(self, server_setup_for_class, is_system_test):
"""Test load prediction by LoadAkkudoktor."""
server = server_setup_for_class["server"]
eos_dir = server_setup_for_class["eos_dir"]
result = requests.put(f"{server}/v1/config/load/provider", json="LoadAkkudoktor")
assert result.status_code == HTTPStatus.OK
# Assure prediction is enabled
result = requests.get(f"{server}/v1/prediction/providers?enabled=true")
assert result.status_code == HTTPStatus.OK
providers = result.json()
assert "LoadAkkudoktor" in providers
if is_system_test:
result = requests.post(f"{server}/v1/prediction/update/LoadAkkudoktor")
assert result.status_code == HTTPStatus.OK
result = requests.get(f"{server}/v1/prediction/series?key=loadforecast_power_w")
assert result.status_code == HTTPStatus.OK
data = result.json()
assert len(data["data"]) > 24
else:
pass
def test_prediction_import(self, server_setup_for_class, is_system_test):
"""Test eprediction import."""
server = server_setup_for_class["server"]
eos_dir = server_setup_for_class["eos_dir"]
# Reset config
with FILE_TESTDATA_EOSSERVER_CONFIG_1.open("r", encoding="utf-8", newline=None) as fd:
config = json.load(fd)
config["elecprice"]["provider"] = "ElecPriceImport"
result = requests.put(f"{server}/v1/config", json=config)
assert result.status_code == HTTPStatus.OK
# Assure prediction is enabled
result = requests.get(f"{server}/v1/prediction/providers?enabled=true")
assert result.status_code == HTTPStatus.OK
providers = result.json()
assert "ElecPriceImport" in providers
# Elex price payload
payload = {
"start_datetime": "2026-05-27 00:00:00",
"interval": "1 hour",
"elecprice_marketprice_wh": [0.000234, 0.000228, 0.000231],
}
result = requests.put(
f"{server}/v1/prediction/import/ElecPriceImport",
params={"force_enable": True},
json=payload,
)
assert result.status_code == HTTPStatus.OK
# Import should work with any provider
config["feedintariff"]["provider"] = "FeedInTariffImport"
result = requests.put(f"{server}/v1/config", json=config)
assert result.status_code == HTTPStatus.OK
# Feed In Tariff payload
payload = {
"start_datetime": "2026-05-27 00:00:00",
"interval": "1 hour",
"feed_in_tariff_wh": [0.000071, 0.000072, 0.000073],
}
result = requests.put(
f"{server}/v1/prediction/import/FeedInTariffImport",
params={"force_enable": True},
json=payload,
)
assert result.status_code == HTTPStatus.OK
def test_measurement(self, server_setup_for_class, is_system_test):
"""Test measurement endpoints comprehensively."""
server = server_setup_for_class["server"]
# ----------------------------------------------------------------------
# 1. Setup: Reset config with test measurement keys
# ----------------------------------------------------------------------
with FILE_TESTDATA_EOSSERVER_CONFIG_1.open("r", encoding="utf-8", newline=None) as fd:
config = json.load(fd)
config.setdefault("measurement", {})
config["measurement"]["pv_production_emr_keys"] = ["pv1_emr", "pv2_emr"]
config["measurement"]["load_emr_keys"] = ["load1_emr"]
result = requests.put(f"{server}/v1/config", json=config)
assert result.status_code == HTTPStatus.OK, f"Config update failed: {result.text}"
# ----------------------------------------------------------------------
# 2. GET /v1/measurement/keys
# ----------------------------------------------------------------------
result = requests.get(f"{server}/v1/measurement/keys")
assert result.status_code == HTTPStatus.OK, f"Failed to get measurement keys: {result.text}"
keys = result.json()
assert isinstance(keys, list)
assert "pv1_emr" in keys
assert "pv2_emr" in keys
assert "load1_emr" in keys
# ----------------------------------------------------------------------
# 3. PUT /v1/measurement/value
# ----------------------------------------------------------------------
# Float value
result = requests.put(
f"{server}/v1/measurement/value",
params={
"datetime": "2026-03-08T18:00:00Z",
"key": "pv1_emr",
"value": "1000.0",
},
)
assert result.status_code == HTTPStatus.OK, f"Failed to PUT float value: {result.text}"
series_response = result.json()
# PydanticDateTimeSeries has shape: {"data": {datetime_str: value}, "dtype": str, "tz": str|None}
assert "data" in series_response
assert isinstance(series_response["data"], dict)
assert len(series_response["data"]) >= 1
# String value that converts to float
result = requests.put(
f"{server}/v1/measurement/value",
params={
"datetime": "2026-03-08T19:00:00Z",
"key": "pv1_emr",
"value": "2000.0",
},
)
assert result.status_code == HTTPStatus.OK, f"Failed to PUT string float value: {result.text}"
# Non-numeric string value must be rejected
result = requests.put(
f"{server}/v1/measurement/value",
params={
"datetime": "2026-03-08T20:00:00Z",
"key": "pv1_emr",
"value": "not_a_number",
},
)
assert result.status_code == HTTPStatus.BAD_REQUEST, (
f"Expected 400 for non-numeric string, got {result.status_code}"
)
# Non-existent key must be rejected
result = requests.put(
f"{server}/v1/measurement/value",
params={
"datetime": "2026-03-08T18:00:00Z",
"key": "non_existent_key",
"value": "1000.0",
},
)
assert result.status_code == HTTPStatus.NOT_FOUND, (
f"Expected 404 for unknown key, got {result.status_code}"
)
# Missing required parameter (datetime)
result = requests.put(
f"{server}/v1/measurement/value",
params={"key": "pv1_emr", "value": "1000.0"},
)
assert result.status_code == HTTPStatus.UNPROCESSABLE_ENTITY, (
f"Expected 422 for missing datetime, got {result.status_code}"
)
# ----------------------------------------------------------------------
# 4. GET /v1/measurement/series
# ----------------------------------------------------------------------
result = requests.get(f"{server}/v1/measurement/series", params={"key": "pv1_emr"})
assert result.status_code == HTTPStatus.OK, f"Failed to GET series: {result.text}"
series_response = result.json()
# PydanticDateTimeSeries: {"data": {datetime_str: value, ...}, "dtype": "float64", "tz": ...}
assert "data" in series_response
assert isinstance(series_response["data"], dict)
assert "dtype" in series_response
assert len(series_response["data"]) >= 2 # at least the two values inserted above
# Non-existent key must be rejected
result = requests.get(
f"{server}/v1/measurement/series", params={"key": "non_existent_key"}
)
assert result.status_code == HTTPStatus.NOT_FOUND, (
f"Expected 404 for unknown series key, got {result.status_code}"
)
# ----------------------------------------------------------------------
# 5. PUT /v1/measurement/series
# PydanticDateTimeSeries payload: {"data": {datetime_str: value, ...}, "dtype": "float64", "tz": "UTC"}
# ----------------------------------------------------------------------
series_payload = {
"data": {
"2026-03-08T10:00:00+00:00": 500.0,
"2026-03-08T11:00:00+00:00": 600.0,
"2026-03-08T12:00:00+00:00": 700.0,
},
"dtype": "float64",
"tz": "UTC",
}
result = requests.put(
f"{server}/v1/measurement/series",
params={"key": "pv2_emr"},
json=series_payload,
)
assert result.status_code == HTTPStatus.OK, f"Failed to PUT series: {result.text}"
series_response = result.json()
assert "data" in series_response
assert isinstance(series_response["data"], dict)
assert len(series_response["data"]) >= 3
# Verify the data round-trips correctly
result = requests.get(f"{server}/v1/measurement/series", params={"key": "pv2_emr"})
assert result.status_code == HTTPStatus.OK
fetched = result.json()
fetched_values = list(fetched["data"].values())
assert 500.0 in fetched_values
assert 600.0 in fetched_values
assert 700.0 in fetched_values
# Non-existent key must be rejected
result = requests.put(
f"{server}/v1/measurement/series",
params={"key": "non_existent_key"},
json=series_payload,
)
assert result.status_code == HTTPStatus.NOT_FOUND, (
f"Expected 404 for unknown series PUT key, got {result.status_code}"
)
# ----------------------------------------------------------------------
# 6. PUT /v1/measurement/dataframe
# PydanticDateTimeDataFrame payload:
# {"data": {datetime_str: {"col1": val, ...}, ...}, "dtypes": {}, "tz": ..., "datetime_columns": [...]}
# ----------------------------------------------------------------------
dataframe_payload = {
"data": {
"2026-03-08T00:00:00+00:00": {"pv1_emr": 100.5, "load1_emr": 50.2},
"2026-03-08T01:00:00+00:00": {"pv1_emr": 200.3, "load1_emr": 45.1},
"2026-03-08T02:00:00+00:00": {"pv1_emr": 300.7, "load1_emr": 48.9},
},
"dtypes": {"pv1_emr": "float64", "load1_emr": "float64"},
"tz": "UTC",
"datetime_columns": [],
}
result = requests.put(f"{server}/v1/measurement/dataframe", json=dataframe_payload)
assert result.status_code == HTTPStatus.OK, f"Failed to PUT dataframe: {result.text}"
# Verify data was loaded for both columns
for key in ("pv1_emr", "load1_emr"):
result = requests.get(f"{server}/v1/measurement/series", params={"key": key})
assert result.status_code == HTTPStatus.OK, f"Failed to verify series for {key}"
series_response = result.json()
assert len(series_response["data"]) >= 3, f"Expected >=3 data points for {key}"
# Invalid dataframe structure (row columns inconsistent) must be rejected
invalid_dataframe_payload = {
"data": {
"2026-03-08T00:00:00+00:00": {"pv1_emr": 100.0},
"2026-03-08T01:00:00+00:00": {"pv1_emr": 200.0, "load1_emr": 45.0}, # extra column
},
"dtypes": {},
"tz": "UTC",
"datetime_columns": [],
}
result = requests.put(f"{server}/v1/measurement/dataframe", json=invalid_dataframe_payload)
assert result.status_code == HTTPStatus.UNPROCESSABLE_ENTITY, (
f"Expected 422 for inconsistent dataframe columns, got {result.status_code}"
)
# ----------------------------------------------------------------------
# 7. PUT /v1/measurement/data
# PydanticDateTimeData payload (RootModel):
# Dict[str, Union[str, List[Union[float, int, str, None]]]]
# Columnar format: keys are column names (or special "start_datetime"/"interval"),
# values are flat lists of equal length. Datetime index is given via start_datetime + interval.
# ----------------------------------------------------------------------
data_payload = {
"start_datetime": "2026-03-09T00:00:00+00:00",
"interval": "1 hour",
"pv1_emr": [400.2, 450.1],
"load1_emr": [60.5, 55.3],
"pv2_emr": [150.8, 175.2],
}
result = requests.put(f"{server}/v1/measurement/data", json=data_payload)
assert result.status_code == HTTPStatus.OK, f"Failed to PUT data dict: {result.text}"
# Verify all three keys received the values
for key, expected_values in (
("pv1_emr", [400.2, 450.1]),
("load1_emr", [60.5, 55.3]),
("pv2_emr", [150.8, 175.2]),
):
result = requests.get(f"{server}/v1/measurement/series", params={"key": key})
assert result.status_code == HTTPStatus.OK, f"Failed to verify {key} after data PUT"
fetched = result.json()
fetched_values = list(fetched["data"].values())
for expected in expected_values:
assert expected in fetched_values, (
f"Expected {expected} in {key} series, got {fetched_values}"
)
# ----------------------------------------------------------------------
# 8. Edge case: invalid datetime in value PUT
# ----------------------------------------------------------------------
result = requests.put(
f"{server}/v1/measurement/value",
params={
"datetime": "not-a-datetime",
"key": "pv1_emr",
"value": "1000.0",
},
)
assert result.status_code == HTTPStatus.BAD_REQUEST, (
f"Expected 400 for invalid datetime, got {result.status_code}"
)
def test_measurement_high_frequency_and_duplicates(self, server_setup_for_class):
"""Simulate production-like high-frequency measurement updates."""
server = server_setup_for_class["server"]
# ----------------------------------------------------------------------
# 1. Configure measurement keys
# ----------------------------------------------------------------------
config = {
"database": {
"provider": "LMDB",
},
"measurement": {
"pv_production_emr_keys": [
"pv1_emr_kwh",
"pv2_emr_kwh",
],
"load_emr_keys": [
"load1_emr_kwh",
"load2_emr_kwh",
],
}
}
result = requests.put(f"{server}/v1/config", json=config)
assert result.status_code == HTTPStatus.OK
result = requests.delete(f"{server}/v1/measurement/range", params={"key": "pv1_emr_kwh"})
assert result.status_code in (HTTPStatus.OK, HTTPStatus.NOT_FOUND)
result = requests.delete(f"{server}/v1/measurement/range", params={"key": "pv2_emr_kwh"})
assert result.status_code in (HTTPStatus.OK, HTTPStatus.NOT_FOUND)
result = requests.delete(f"{server}/v1/measurement/range", params={"key": "load1_emr_kwh"})
assert result.status_code in (HTTPStatus.OK, HTTPStatus.NOT_FOUND)
result = requests.delete(f"{server}/v1/measurement/range", params={"key": "load2_emr_kwh"})
assert result.status_code in (HTTPStatus.OK, HTTPStatus.NOT_FOUND)
# ----------------------------------------------------------------------
# 2. Simulate high-frequency writes (1 Hz, mixed keys)
# ----------------------------------------------------------------------
base_time = "2026-04-10T00:00:00"
timestamps = [
"2026-04-10T00:00:16",
"2026-04-10T00:00:46",
"2026-04-10T00:01:46",
"2026-04-10T00:02:32",
"2026-04-10T00:02:32", # duplicate
"2026-04-10T00:03:32",
"2026-04-10T00:03:32", # duplicate
]
test_cases = [
# valid
("pv1_emr_kwh", -687),
("pv2_emr_kwh", 0.76),
("load1_emr_kwh", 500),
("load2_emr_kwh", 0.0),
# invalid
("invalid-key-1", 123),
("invalid-key-2", 456),
]
results = []
for ts in timestamps:
for key, value in test_cases:
response = requests.put(
f"{server}/v1/measurement/value",
params={
"datetime": ts, # NOTE: naive datetime like production
"key": key,
"value": str(value),
},
)
results.append((ts, key, response.status_code))
result = requests.post(f"{server}/v1/admin/database/save")
assert result.status_code == HTTPStatus.OK
# ----------------------------------------------------------------------
# 3. Assertions: system must behave robustly
# ----------------------------------------------------------------------
# A. Invalid keys must consistently return 404
for ts, key, status in results:
if key.startswith("invalid"):
assert status == HTTPStatus.NOT_FOUND
else:
assert status != HTTPStatus.NOT_FOUND
# B. Valid keys must NEVER produce 500
for ts, key, status in results:
if key in ("pv1_emr_kwh", "pv2_emr_kwh"):
assert status != HTTPStatus.INTERNAL_SERVER_ERROR, (
f"500 error for key={key}, ts={ts}"
)
# C. Duplicates must be handled gracefully (200 or 409 or similar, but not 500)
duplicate_failures = [
(ts, key, status)
for ts, key, status in results
if ts in ("2026-04-10T00:02:32", "2026-04-10T00:03:32")
and key == "pv1_emr_kwh"
and status == HTTPStatus.INTERNAL_SERVER_ERROR
]
assert not duplicate_failures, f"Duplicate timestamp caused 500: {duplicate_failures}"
# ----------------------------------------------------------------------
# 4. Verify data integrity (no explosion / corruption)
# ----------------------------------------------------------------------
result = requests.get(
f"{server}/v1/measurement/series",
params={"key": "pv1_emr_kwh"},
)
assert result.status_code == HTTPStatus.OK
data = result.json()["data"]
# Should not contain excessive duplicates
assert len(data) <= len(set(timestamps)), "Duplicate timestamps not handled properly"
@pytest.mark.parametrize("db_provider", ["LMDB", "SQLite", None])
def test_measurement_realtime_stream(self, db_provider, server_setup_for_class):
"""Simulate real production stream: 1 Hz updates with jitter, duplicates, and out-of-order timestamps."""
server = server_setup_for_class["server"]
# ----------------------------------------------------------------------
# 1. Configure measurement keys and measurement database
# ----------------------------------------------------------------------
config = {
"database": {
"provider": db_provider,
},
"measurement": {
"pv_production_emr_keys": ["pv1_emr_kwh"],
"load_emr_keys": ["load1_emr_kwh"],
}
}
result = requests.put(f"{server}/v1/config", json=config)
assert result.status_code == HTTPStatus.OK, f"Failed: {result.status_code} {result}"
result = requests.delete(f"{server}/v1/measurement/range", params={"key": "pv1_emr_kwh"})
assert result.status_code in (HTTPStatus.OK, HTTPStatus.NOT_FOUND)
result = requests.delete(f"{server}/v1/measurement/range", params={"key": "load1_emr_kwh"})
assert result.status_code in (HTTPStatus.OK, HTTPStatus.NOT_FOUND)
# ----------------------------------------------------------------------
# 2. Real-time simulation
# ----------------------------------------------------------------------
start = to_datetime().replace(microsecond=0)
sent_timestamps = []
errors = []
for i in range(20): # run ~20 seconds
now = to_datetime().replace(microsecond=0)
# --- main timestamp ---
ts = str(now)
# --- simulate normal write ---
response = requests.put(
f"{server}/v1/measurement/value",
params={
"datetime": ts,
"key": "pv1_emr_kwh",
"value": str(random.uniform(0, 1000)),
},
)
if response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR:
errors.append(("main", ts, response.text))
sent_timestamps.append(ts)
# ------------------------------------------------------------------
# Inject real-world problems
# ------------------------------------------------------------------
# 0. Other key
if random.random() < 0.5:
now_same_second = now.add(microseconds=430)
ts_same_second = str(now_same_second)
response = requests.put(
f"{server}/v1/measurement/value",
params={
"datetime": ts_same_second,
"key": "load1_emr_kwh",
"value": str(random.uniform(0, 1000)),
},
)
if response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR:
errors.append(("other", ts, response.text))
# 1. Duplicate timestamp (same second, slightly later)
if random.random() < 0.5:
time.sleep(0.05) # slight delay
response = requests.put(
f"{server}/v1/measurement/value",
params={
"datetime": ts,
"key": "pv1_emr_kwh",
"value": str(random.uniform(0, 1000)),
},
)
if response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR:
errors.append(("duplicate", ts, response.text))
# 2. Out-of-order timestamp (older data arrives late)
if len(sent_timestamps) > 2 and random.random() < 0.5:
old_ts = random.choice(sent_timestamps[:-1])
response = requests.put(
f"{server}/v1/measurement/value",
params={
"datetime": old_ts,
"key": "pv1_emr_kwh",
"value": str(random.uniform(0, 1000)),
},
)
if response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR:
errors.append(("out_of_order", old_ts, response.text))
# 3. Same second burst (multiple writes in same second)
if random.random() < 0.5:
for _ in range(random.randint(2, 4)):
response = requests.put(
f"{server}/v1/measurement/value",
params={
"datetime": ts,
"key": "pv1_emr_kwh",
"value": str(random.uniform(0, 1000)),
},
)
if response.status_code == HTTPStatus.INTERNAL_SERVER_ERROR:
errors.append(("burst", ts, response.text))
# 4. Assure database in memory data is saved to database
if i in (0, 4, 9, 14, 19):
response = requests.post(f"{server}/v1/admin/database/save")
assert response.status_code == HTTPStatus.OK
# small delay to simulate real system (~1 Hz)
time.sleep(1)
# ----------------------------------------------------------------------
# 3. Assertions
# ----------------------------------------------------------------------
assert not errors, f"500 errors occurred: {errors}"
# ----------------------------------------------------------------------
# 4. Verify resulting data
# ----------------------------------------------------------------------
result = requests.get(
f"{server}/v1/measurement/series",
params={"key": "pv1_emr_kwh"},
)
assert result.status_code == HTTPStatus.OK
data = result.json()["data"]
# sanity: should not explode in size
assert len(data) == len(set(sent_timestamps))
parsed = [to_datetime(ts) for ts in data.keys()]
assert all(parsed[i] <= parsed[i+1] for i in range(len(parsed)-1)), \
"Timestamps are not sorted"
unique_keys = set(data.keys())
assert len(unique_keys) == len(data), \
"Duplicate timestamps detected in API output"
def test_admin_cache(self, server_setup_for_class, is_system_test):
"""Test whether cache is reconstructed from cached files."""
server = server_setup_for_class["server"]
eos_dir = server_setup_for_class["eos_dir"]
result = requests.get(f"{server}/v1/admin/cache")
assert result.status_code == HTTPStatus.OK
cache = result.json()
if is_system_test:
# There should be some cache data
assert cache != {}
# Save cache
result = requests.post(f"{server}/v1/admin/cache/save")
assert result.status_code == HTTPStatus.OK
cache_saved = result.json()
assert cache_saved == cache
# Clear expired cache - should clear nothing as all cache files expire in the future
result = requests.post(f"{server}/v1/admin/cache/clear-expired")
assert result.status_code == HTTPStatus.OK
cache_cleared = result.json()
assert cache_cleared == cache
# Force clear cache
result = requests.post(f"{server}/v1/admin/cache/clear")
assert result.status_code == HTTPStatus.OK
cache_cleared = result.json()
assert cache_cleared == {}
# Try to load already deleted cache entries
result = requests.post(f"{server}/v1/admin/cache/load")
assert result.status_code == HTTPStatus.OK
cache_loaded = result.json()
assert cache_loaded == {}
# Cache should still be empty
result = requests.get(f"{server}/v1/admin/cache")
assert result.status_code == HTTPStatus.OK
cache = result.json()
assert cache == {}