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test_PIHandlerREST.py
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import pytest
import pandas as pd
from tagreader.utils import ensure_datetime_with_tz, ReaderType
from tagreader.web_handlers import PIHandlerWeb
START_TIME = "2020-04-01 11:05:00"
STOP_TIME = "2020-04-01 12:05:00"
SAMPLE_TIME = 60
@pytest.fixture()
def PIHandler():
h = PIHandlerWeb(datasource="sourcename")
h.webidcache["alreadyknowntag"] = "knownwebid"
yield h
def test_escape_chars():
assert (
PIHandlerWeb.escape('+-&|(){}[]^"~*:\\') == r"\+\-\&\|\(\)\{\}\[\]\^\"\~*\:\\"
)
def test_generate_search_query():
assert PIHandlerWeb.generate_search_query("SINUSOID") == {"q": "name:SINUSOID"}
assert PIHandlerWeb.generate_search_query(r"BA:*.1", datasource="sourcename") == {
"q": r"name:BA\:*.1",
"scope": "pi:sourcename",
}
assert PIHandlerWeb.generate_search_query(tag="BA:*.1") == {
"q": r"name:BA\:*.1",
}
assert PIHandlerWeb.generate_search_query(desc="Concentration Reactor 1") == {
"q": r"description:Concentration\ Reactor\ 1",
}
assert PIHandlerWeb.generate_search_query(
tag="BA:*.1", desc="Concentration Reactor 1"
) == {"q": r"name:BA\:*.1 AND description:Concentration\ Reactor\ 1"}
def test_is_summary(PIHandler):
assert PIHandler._is_summary(ReaderType.AVG)
assert PIHandler._is_summary(ReaderType.MIN)
assert PIHandler._is_summary(ReaderType.MAX)
assert PIHandler._is_summary(ReaderType.RNG)
assert PIHandler._is_summary(ReaderType.STD)
assert PIHandler._is_summary(ReaderType.VAR)
assert not PIHandler._is_summary(ReaderType.RAW)
assert not PIHandler._is_summary(ReaderType.SHAPEPRESERVING)
assert not PIHandler._is_summary(ReaderType.INT)
assert not PIHandler._is_summary(ReaderType.GOOD)
assert not PIHandler._is_summary(ReaderType.BAD)
assert not PIHandler._is_summary(ReaderType.SNAPSHOT)
@pytest.mark.parametrize(
"read_type",
[
"RAW",
# pytest.param(
# "SHAPEPRESERVING", marks=pytest.mark.skip(reason="Not implemented")
# ),
"INT",
"MIN",
"MAX",
"RNG",
"AVG",
"STD",
"VAR",
# pytest.param("COUNT", marks=pytest.mark.skip(reason="Not implemented")),
# pytest.param("GOOD", marks=pytest.mark.skip(reason="Not implemented")),
# pytest.param("BAD", marks=pytest.mark.skip(reason="Not implemented")),
# pytest.param("TOTAL", marks=pytest.mark.skip(reason="Not implemented")),
# pytest.param("SUM", marks=pytest.mark.skip(reason="Not implemented")),
"SNAPSHOT",
],
)
def test_generate_read_query(PIHandler, read_type):
starttime = ensure_datetime_with_tz(START_TIME)
stoptime = ensure_datetime_with_tz(STOP_TIME)
ts = pd.Timedelta(SAMPLE_TIME, unit="s")
(url, params) = PIHandler.generate_read_query(
PIHandler.tag_to_webid("alreadyknowntag"),
starttime,
stoptime,
ts,
getattr(ReaderType, read_type),
)
if read_type != "SNAPSHOT":
assert params["startTime"] == "01-Apr-20 09:05:00"
assert params["endTime"] == "01-Apr-20 10:05:00"
assert params["timeZone"] == "UTC"
if read_type == "INT":
assert url == f"streams/{PIHandler.webidcache['alreadyknowntag']}/interpolated"
assert params["selectedFields"] == "Links;Items.Timestamp;Items.Value"
assert params["interval"] == f"{SAMPLE_TIME}s"
elif read_type in ["AVG", "MIN", "MAX", "RNG", "STD", "VAR"]:
assert url == f"streams/{PIHandler.webidcache['alreadyknowntag']}/summary"
assert (
params["selectedFields"] == "Links;Items.Value.Timestamp;Items.Value.Value"
)
assert {
"AVG": "Average",
"MIN": "Minimum",
"MAX": "Maximum",
"RNG": "Range",
"STD": "StdDev",
"VAR": "StdDev",
}.get(read_type) == params["summaryType"]
assert params["summaryDuration"] == f"{SAMPLE_TIME}s"
elif read_type == "SNAPSHOT":
assert url == f"streams/{PIHandler.webidcache['alreadyknowntag']}/value"
assert params["selectedFields"] == "Timestamp;Value"
assert len(params) == 3
elif read_type == "RAW":
assert url == f"streams/{PIHandler.webidcache['alreadyknowntag']}/recorded"
assert params["selectedFields"] == "Links;Items.Timestamp;Items.Value"
assert params["maxCount"] == 10000
@pytest.mark.parametrize(
"read_type",
[
"RAW",
# pytest.param(
# "SHAPEPRESERVING", marks=pytest.mark.skip(reason="Not implemented")
# ),
"INT",
"MIN",
"MAX",
"RNG",
"AVG",
"STD",
"VAR",
# pytest.param("COUNT", marks=pytest.mark.skip(reason="Not implemented")),
# pytest.param("GOOD", marks=pytest.mark.skip(reason="Not implemented")),
# pytest.param("BAD", marks=pytest.mark.skip(reason="Not implemented")),
# pytest.param("TOTAL", marks=pytest.mark.skip(reason="Not implemented")),
# pytest.param("SUM", marks=pytest.mark.skip(reason="Not implemented")),
"SNAPSHOT",
],
)
def test_generate_read_query_with_status(PIHandler, read_type):
starttime = ensure_datetime_with_tz(START_TIME)
stoptime = ensure_datetime_with_tz(STOP_TIME)
ts = pd.Timedelta(SAMPLE_TIME, unit="s")
(url, params) = PIHandler.generate_read_query(
PIHandler.tag_to_webid("alreadyknowntag"),
starttime,
stoptime,
ts,
getattr(ReaderType, read_type),
get_status=True,
)
if read_type != "SNAPSHOT":
assert params["startTime"] == "01-Apr-20 09:05:00"
assert params["endTime"] == "01-Apr-20 10:05:00"
assert params["timeZone"] == "UTC"
if read_type == "INT":
assert url == f"streams/{PIHandler.webidcache['alreadyknowntag']}/interpolated"
assert params["selectedFields"] == (
"Links;Items.Timestamp;Items.Value;"
"Items.Good;Items.Questionable;Items.Substituted"
)
assert params["interval"] == f"{SAMPLE_TIME}s"
elif read_type in ["AVG", "MIN", "MAX", "RNG", "STD", "VAR"]:
assert url == f"streams/{PIHandler.webidcache['alreadyknowntag']}/summary"
assert params["selectedFields"] == (
"Links;Items.Value.Timestamp;Items.Value.Value;"
"Items.Value.Good;Items.Value.Questionable;Items.Value.Substituted"
)
assert {
"AVG": "Average",
"MIN": "Minimum",
"MAX": "Maximum",
"RNG": "Range",
"STD": "StdDev",
"VAR": "StdDev",
}.get(read_type) == params["summaryType"]
assert params["summaryDuration"] == f"{SAMPLE_TIME}s"
elif read_type == "SNAPSHOT":
assert url == f"streams/{PIHandler.webidcache['alreadyknowntag']}/value"
assert (
params["selectedFields"] == "Timestamp;Value;Good;Questionable;Substituted"
)
assert len(params) == 3
elif read_type == "RAW":
assert url == f"streams/{PIHandler.webidcache['alreadyknowntag']}/recorded"
assert params["selectedFields"] == (
"Links;Items.Timestamp;Items.Value;"
"Items.Good;Items.Questionable;Items.Substituted"
)
assert params["maxCount"] == 10000
def test_genreadquery_long_sampletime(PIHandler):
starttime = ensure_datetime_with_tz(START_TIME)
stoptime = ensure_datetime_with_tz(STOP_TIME)
ts = pd.Timedelta(86410, unit="s")
(url, params) = PIHandler.generate_read_query(
PIHandler.tag_to_webid("alreadyknowntag"),
starttime,
stoptime,
ts,
ReaderType.INT,
)
assert params["interval"] == f"{86410}s"