def fixture_edataobj2(globalconfig2):
"""Combined globalconfig2 and other settings; NB for internal unit testing"""
eobj = dio.ExportData(
config=globalconfig2,
name="TopVolantis",
unit="m",
tagname="mytag",
parent="",
timedata=[[20330105, "moni"], [19990102, "base"]],
is_prediction=True,
is_observation=False,
forcefolder=None,
subfolder="",
fmu_context="realization",
)
eobj.surface_fformat = "irap_binary"
eobj.createfolder = False
eobj.verifyfolder = False
eobj.legacy_time_format = False
eobj._rootpath = Path(".")
eobj._pwd = Path(".")
logger.info("Ran %s", inspect.currentframe().f_code.co_name)
return eobj
def export_geogrid_parameters():
"""Export geogrid assosiated parameters based on user defined lists"""
props = PROPS_SEISMIC + PROPS_OTHER
print("Write grid properties...")
for propname in props:
filename = (FOLDER / (GFILE + "_" + propname)).with_suffix(".roff")
prop = xtgeo.gridproperty_from_file(filename)
ed = dataio.ExportData(
name=propname,
# parent={"name": GNAME},
config=CFG,
content="depth",
unit="m",
vertical_domain={"depth": "msl"},
timedata=None,
is_prediction=True,
is_observation=False,
verbosity=VERBOSITY,
workflow="rms property model",
)
out = ed.export(prop)
print(f"Stored {propname} as {out}")
def export_faultlines():
"""Return faultlines as both dataframe and original (xyz)"""
ed = dataio.ExportData(
config=CFG,
content="depth",
unit="m",
vertical_domain={"depth": "msl"},
timedata=None,
is_prediction=True,
is_observation=False,
tagname="faultlines",
verbosity="INFO",
workflow="rms structural model",
)
for hname in HORISONNAMES:
# RMS version for reading polygons from a project:
# poly = xtgeo.polygons_from_roxar(project, hname, RMS_POL_CATEGORY)
# File version:
poly = xtgeo.polygons_from_file((FILEROOT / hname.lower()).with_suffix(".pol"))
poly.name = hname
# Export both csv (keeping xtgeo column names) and irap text format
# The difference bewtween "csv" and "csv|xtgeo" is that the latter will keep
# xtgeo column names as-is while "csv" will force column names to "X Y Z ID"
for fmt in ["csv|xtgeo", "irap_ascii"]:
ed.polygons_fformat = fmt
ed.export(poly, verbosity="WARNING")
def test_fmuprovider_no_provider(testroot, globalconfig1):
"""Testing the FmuProvider basics where no ERT context is found from folder tree."""
os.chdir(testroot)
ex = dio.ExportData(fmu_context="realization", config=globalconfig1)
myfmu = _FmuProvider(ex)
myfmu.detect_provider()
assert myfmu.is_fmurun is False
assert myfmu.case_name is None
def test_metadata_populate_masterdata_is_empty(globalconfig1):
"""Testing the masterdata part, first with no settings."""
some = dio.ExportData(config=globalconfig1)
del some.config["masterdata"] # to force missing masterdata
mymeta = _MetaData("dummy", some)
with pytest.warns(UserWarning):
mymeta._populate_meta_masterdata()
assert mymeta.meta_masterdata is None
def test_fmuprovider_ert2_provider(fmurun, globalconfig1):
"""Testing the FmuProvider for an ERT2 case"""
os.chdir(fmurun)
ex = dio.ExportData(fmu_context="realization", config=globalconfig1)
ex._rootpath = fmurun
myfmu = _FmuProvider(ex)
myfmu.detect_provider()
assert myfmu.case_name == "ertrun1"
assert myfmu.real_name == "realization-0"
assert myfmu.real_id == 0
def fixture_edataobj1(globalconfig1):
"""Combined globalconfig and settings to instance, for internal testing"""
logger.info("Establish edataobj1")
eobj = dio.ExportData(
config=globalconfig1,
name="TopWhatever",
content="depth",
tagname="mytag",
is_observation=False,
)
eobj.surface_fformat = "irap_binary"
eobj.createfolder = False
eobj.verifyfolder = False
logger.info("Ran %s returning %s",
inspect.currentframe().f_code.co_name, type(eobj))
return eobj
def export_geogrid_geometry():
filename = (FOLDER / GFILE).with_suffix(".roff")
grd = xtgeo.grid_from_file(filename)
ed = dataio.ExportData(
config=CFG,
name=GNAME,
content="depth",
unit="m",
vertical_domain={"depth": "msl"},
timedata=None,
is_prediction=True,
is_observation=False,
tagname="",
verbosity=VERBOSITY,
workflow="rms structural model",
)
out = ed.export(grd)
print(f"Stored grid as {out}")
def main():
"""Exporting maps from clipboard"""
surf = xtgeo.surface_from_file(INPUT_FOLDER / FILE)
print(f"Average value of map is {surf.values.mean()}")
ed = dataio.ExportData(
config=CFG,
name="noname_here",
unit="fraction",
vertical_domain={"depth": "msl"},
content="property",
timedata=None,
is_prediction=True,
is_observation=False,
tagname="average_poro",
workflow="rms property model",
)
fname = ed.export(surf, name="all") # note that 'name' here will be used
print(f"File name is {fname}")
def test_metadata_populate_change_access_ok(globalconfig1):
"""Testing the access part, now with ok config and a change in access."""
edata = dio.ExportData(
config=globalconfig1,
access_ssdl={
"access_level": "paranoid",
"rep_include": False
},
)
mymeta = _MetaData("dummy", edata)
mymeta._populate_meta_access()
assert mymeta.meta_access == {
"asset": {
"name": "Test"
},
"ssdl": {
"access_level": "paranoid",
"rep_include": False
},
}
def main():
"""Exporting maps from clipboard"""
files = INPUT_FOLDER.glob("*.gri")
for file in files:
surf = xtgeo.surface_from_file(file)
attribute = "unset"
for pattern, attr in TRANSLATE.items():
if pattern in str(file).lower():
attribute = attr
name = "unset"
for pattern, attr in NAMETRANSLATE.items():
if pattern in str(file).lower():
name = attr
ed = dataio.ExportData(
config=CFG,
name=name,
unit="fraction",
content={
"property": {
"attribute": attribute,
"is_discrete": False
}
},
vertical_domain={"depth": "msl"},
timedata=None,
is_prediction=True,
is_observation=False,
tagname="average_" + attribute,
verbosity="INFO",
workflow="rms property model",
)
fname = ed.export(surf)
print(f"File name is {fname}")
