def test_multiple_actions(data):
zones_stop = [
["Below_Top_reek", [0.1, 0.3]],
["Below_Mid_reek", [0.1, 0.25]],
["Below_Low_reek", [0.1, 0.20]],
]
actions = []
for zstop in zones_stop:
actions.append(
{
"property": "reek_sim_poro.roff",
"selectors": {"reek_sim_zone.roff": zstop[0]},
"stop_outside": zstop[1],
}
)
data["actions"] = actions
qcjob = qcf.GridStatistics()
qcjob.run(data)
dfr = pd.read_csv(REPORT)
print(dfr)
pathlib.Path(REPORT).unlink()
def test_yaml_dump(data):
data["actions"] = [
{
"property": "reek_sim_poro.roff",
"warn_outside": [0.18, 0.25],
"stop_outside": [0, 1],
},
]
data["dump_yaml"] = SOMEYAML
qcjob = qcf.GridStatistics()
qcjob.run(data)
# now read the dump file:
qcjob.run(data=SOMEYAML)
dfr = pd.read_csv(REPORT)
assert dfr.loc[dfr["CALCULATION"] == "Avg"].iloc[0]["STATUS"] == "WARN"
assert dfr.loc[dfr["CALCULATION"] == "Avg"].iloc[0]["VALUE"] == pytest.approx(
0.1677, 0.001
)
pathlib.Path(REPORT).unlink()
pathlib.Path(SOMEYAML).unlink()
def test_action_with_filters_and_selectors(data):
data["actions"] = [
{
"property": "reek_sim_poro.roff",
"selectors": {"reek_sim_zone.roff": "Below_Mid_reek"},
"filters": {
"reek_sim_facies2.roff": {
"include": ["FINESAND", "COARSESAND"],
},
},
"warn_outside": [0.17, 0.25],
"stop_outside": [0, 1],
},
]
qcjob = qcf.GridStatistics()
qcjob.run(data)
dfr = pd.read_csv(REPORT)
assert dfr.loc[dfr["CALCULATION"] == "Avg"].iloc[0]["STATUS"] == "OK"
assert dfr.loc[dfr["CALCULATION"] == "Avg"].iloc[0]["VALUE"] == pytest.approx(
0.2384, 0.001
)
pathlib.Path(REPORT).unlink()
def test_actions_with_selectors(data):
data["actions"] = [
{
"property": "reek_sim_poro.roff",
"selectors": {
"reek_sim_zone.roff": "Below_Top_reek",
"reek_sim_facies2.roff": "COARSESAND",
},
"warn_outside": [0.17, 0.25],
"stop_outside": [0, 1],
"calculation": "Avg",
},
]
qcjob = qcf.GridStatistics()
qcjob.run(data)
dfr = pd.read_csv(REPORT)
assert dfr.loc[dfr["CALCULATION"] == "Avg"].iloc[0]["STATUS"] == "WARN"
assert dfr.loc[dfr["CALCULATION"] == "Avg"].iloc[0]["VALUE"] == pytest.approx(
0.3117, 0.001
)
pathlib.Path(REPORT).unlink()
def test_yaml_dump():
actions = [
{
"property": "reek_sim_poro.roff",
"warn_outside": [0.18, 0.25],
"stop_outside": [0, 1],
},
]
data = {
"nametag": "MYDATA1",
"path": PATH,
"grid": GRID,
"report": REPORT + "6",
"actions": actions,
"dump_yaml": SOMEYAML,
}
qcjob = qcf.GridStatistics()
qcjob.run(data)
# now read the dump file:
qcjob.run(data=SOMEYAML)
dfr = pd.read_csv(REPORT + "6")
assert dfr.loc[dfr["CALCULATION"] == "Avg"].iloc[0]["STATUS"] == "WARN"
assert dfr.loc[dfr["CALCULATION"] ==
"Avg"].iloc[0]["VALUE"] == pytest.approx(0.1677, 0.001)
pathlib.Path(REPORT + "6").unlink()
pathlib.Path(SOMEYAML).unlink()
def test_multiple_actions():
zones_stop = [
["Below_Top_reek", [0.1, 0.3]],
["Below_Mid_reek", [0.1, 0.25]],
["Below_Low_reek", [0.1, 0.20]],
]
data = {
"nametag": "MYDATA1",
"path": PATH,
"grid": GRID,
"report": REPORT + "1",
}
actions = []
for zs in zones_stop:
actions.append({
"property": "reek_sim_poro.roff",
"selectors": {
"reek_sim_zone.roff": zs[0]
},
"stop_outside": zs[1],
})
data["actions"] = actions
qcjob = qcf.GridStatistics()
qcjob.run(data)
dfr = pd.read_csv(REPORT + "1")
print(dfr)
pathlib.Path(REPORT + "1").unlink()
def test_actions_with_selectors():
actions = [
{
"property": "reek_sim_poro.roff",
"selectors": {
"reek_sim_zone.roff": "Below_Top_reek",
"reek_sim_facies2.roff": "COARSESAND",
},
"warn_outside": [0.17, 0.25],
"stop_outside": [0, 1],
"calculation": "Avg",
},
]
data = {
"nametag": "MYDATA1",
"path": PATH,
"grid": GRID,
"report": REPORT + "5",
"actions": actions,
}
qcjob = qcf.GridStatistics()
qcjob.run(data)
dfr = pd.read_csv(REPORT + "5")
assert dfr.loc[dfr["CALCULATION"] == "Avg"].iloc[0]["STATUS"] == "WARN"
assert dfr.loc[dfr["CALCULATION"] ==
"Avg"].iloc[0]["VALUE"] == pytest.approx(0.3117, 0.001)
pathlib.Path(REPORT + "5").unlink()
def test_action_with_filters():
actions = [
{
"property": "reek_sim_poro.roff",
"filters": {
"reek_sim_zone.roff": {
"exclude": ["Below_Top_reek", "Below_Low_reek"]
},
"reek_sim_facies2.roff": {
"include": ["FINESAND", "COARSESAND"],
},
},
"warn_outside": [0.17, 0.25],
"stop_outside": [0, 1],
},
]
data = {
"nametag": "MYDATA1",
"path": PATH,
"grid": GRID,
"report": REPORT + "3",
"actions": actions,
}
qcjob = qcf.GridStatistics()
qcjob.run(data)
dfr = pd.read_csv(REPORT + "3")
assert dfr.loc[dfr["CALCULATION"] == "Avg"].iloc[0]["STATUS"] == "OK"
assert dfr.loc[dfr["CALCULATION"] ==
"Avg"].iloc[0]["VALUE"] == pytest.approx(0.2384, 0.001)
pathlib.Path(REPORT + "3").unlink()
def test_simple_action():
actions = [
{
"property": "reek_sim_poro.roff",
"warn_outside": [0.18, 0.25],
"stop_outside": [0, 1],
"description": "test",
},
]
data = {
"nametag": "MYDATA1",
"path": PATH,
"grid": GRID,
"report": REPORT,
"actions": actions,
}
qcjob = qcf.GridStatistics()
qcjob.run(data)
dfr = pd.read_csv(REPORT)
assert dfr.loc[dfr["CALCULATION"] == "Avg"].iloc[0]["STATUS"] == "WARN"
assert dfr.loc[dfr["CALCULATION"] ==
"Avg"].iloc[0]["VALUE"] == pytest.approx(0.1677, 0.001)
pathlib.Path(REPORT).unlink()
def test_actions_shall_stop_no_warnlimits(data):
data["actions"] = [
{
"property": "reek_sim_poro.roff",
"stop_outside": [0.20, 1],
}
]
qcjob = qcf.GridStatistics()
with pytest.raises(SystemExit):
qcjob.run(data)
def test_actions_shall_stop_no_warnlimits():
actions = [{
"property": "reek_sim_poro.roff",
"stop_outside": [0.20, 1],
}]
data = {
"nametag": "MYDATA1",
"path": PATH,
"grid": GRID,
"actions": actions,
}
qcjob = qcf.GridStatistics()
with pytest.raises(SystemExit):
qcjob.run(data)
def test_action_with_disc_and_cont_props(data):
data["actions"] = [
{
"property": "reek_sim_poro.roff",
"warn_outside": [0.18, 0.25],
"stop_outside": [0, 1],
"description": "test",
},
{
"property": "reek_sim_facies2.roff",
"codename": "SHALE",
"warn_outside": [0.3, 0.7],
"stop_outside": [0, 1],
"description": "test2",
},
{
"property": "reek_sim_facies2.roff",
"codename": "SHALE",
"selectors": {"reek_sim_zone.roff": "Below_Top_reek"},
"warn_outside": [0.3, 0.7],
"stop_outside": [0, 1],
"description": "test3",
},
]
qcjob = qcf.GridStatistics()
qcjob.run(data)
dfr = pd.read_csv(REPORT)
assert dfr.loc[dfr["PROPERTY"] == "reek_sim_poro.roff"].iloc[0]["STATUS"] == "WARN"
assert dfr.loc[dfr["PROPERTY"] == "reek_sim_poro.roff"].iloc[0][
"VALUE"
] == pytest.approx(0.1677, 0.001)
assert dfr.loc[
(dfr["PROPERTY"] == "reek_sim_facies2.roff") & (dfr["DESCRIPTION"] == "test2")
].iloc[0]["VALUE"] == pytest.approx(0.585, abs=0.001)
pathlib.Path(REPORT).unlink()
def test_simple_action(data):
data["actions"] = [
{
"property": "reek_sim_poro.roff",
"warn_outside": [0.18, 0.25],
"stop_outside": [0, 1],
"description": "test",
},
]
qcjob = qcf.GridStatistics()
qcjob.run(data)
dfr = pd.read_csv(REPORT)
assert dfr.loc[dfr["CALCULATION"] == "Avg"].iloc[0]["STATUS"] == "WARN"
assert dfr.loc[dfr["CALCULATION"] == "Avg"].iloc[0]["VALUE"] == pytest.approx(
0.1677, 0.001
)
pathlib.Path(REPORT).unlink()
def test_action_with_disc_and_cont_props():
actions = [
{
"property": "reek_sim_poro.roff",
"warn_outside": [0.18, 0.25],
"stop_outside": [0, 1],
"description": "test",
},
{
"property": "reek_sim_facies2.roff",
"codename": "SHALE",
"warn_outside": [30, 70],
"stop_outside": [0, 100],
"description": "test2",
},
]
data = {
"nametag": "MYDATA1",
"path": PATH,
"grid": GRID,
"report": REPORT,
"actions": actions,
}
qcjob = qcf.GridStatistics()
qcjob.run(data)
dfr = pd.read_csv(REPORT)
assert dfr.loc[dfr["CALCULATION"] == "Avg"].iloc[0]["STATUS"] == "WARN"
assert dfr.loc[dfr["CALCULATION"] ==
"Avg"].iloc[0]["VALUE"] == pytest.approx(0.1677, 0.001)
assert dfr.loc[dfr["CALCULATION"] ==
"Percent"].iloc[0]["VALUE"] == pytest.approx(58.50,
abs=0.01)
pathlib.Path(REPORT).unlink()