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133 lines (98 loc) · 4.15 KB
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from pathlib import Path
import typing
import numpy as np
import logging
import h5py
from datetime import datetime, timedelta
LSP = 7
def readgrid(fn: Path) -> typing.Dict[str, np.ndarray]:
"""
get simulation dimensions
Parameters
----------
fn: pathlib.Path
filepath to simgrid.h5
Returns
-------
grid: dict
grid parameters
"""
grid: typing.Dict[str, typing.Any] = {}
if not fn.is_file():
logging.error(f"{fn} grid file is not present. Will try to load rest of data.")
return grid
with h5py.File(fn, "r") as f:
grid["lx"] = f["lxs"][:]
for key in f.keys():
grid[key] = f[key][:]
return grid
def loadframe3d_curv(fn: Path) -> typing.Dict[str, typing.Any]:
"""
end users should normally use loadframe() instead
"""
# grid = readgrid(fn.parent / "inputs/simgrid.h5")
# dat = xarray.Dataset(
# coords={"x1": grid["x1"][2:-2], "x2": grid["x2"][2:-2], "x3": grid["x3"][2:-2]}
# )
dat: typing.Dict[str, typing.Any] = {}
with h5py.File(fn, "r") as f:
dat["time"] = ymdhourdec2datetime(f["time/ymd"][0], f["time/ymd"][1], f["time/ymd"][2], f['time/UThour'][()])
dat["ne"] = (("x1", "x2", "x3"), f["/nsall"][LSP - 1, :, :, :].transpose())
dat["v1"] = (
("x1", "x2", "x3"),
(f["/nsall"][:6, :, :, :].transpose() * f["/vs1all"][:6, :, :, :].transpose()).sum(axis=3) / dat["ne"][1],
)
dat["Ti"] = (
("x1", "x2", "x3"),
(f["/nsall"][:6, :, :, :].transpose() * f["/Tsall"][:6, :, :, :].transpose()).sum(axis=3) / dat["ne"][1],
)
dat["Te"] = (("x1", "x2", "x3"), f["/Tsall"][LSP - 1, :, :, :].transpose())
dat['J1'] = (("x1", "x2", "x3"), f['/J1all'][:].transpose())
dat['J2'] = (("x1", "x2", "x3"), f['/J2all'][:].transpose())
dat['J3'] = (("x1", "x2", "x3"), f['/J3all'][:].transpose())
dat['v2'] = (("x1", "x2", "x3"), f['/v2avgall'][:].transpose())
dat['v3'] = (("x1", "x2", "x3"), f['/v3avgall'][:].transpose())
dat["Phitop"] = (("x2", "x3"), f["/Phiall"][:])
return dat
def loadframe3d_curvavg(fn: Path) -> typing.Dict[str, typing.Any]:
"""
end users should normally use loadframe() instead
Parameters
----------
fn: pathlib.Path
filename of this timestep of simulation output
"""
# grid = readgrid(fn.parent / "inputs/simgrid.h5")
# dat = xarray.Dataset(
# coords={"x1": grid["x1"][2:-2], "x2": grid["x2"][2:-2], "x3": grid["x3"][2:-2]}
# )
dat: typing.Dict[str, typing.Any] = {}
with h5py.File(fn, "r") as f:
dat["time"] = ymdhourdec2datetime(f["time/ymd"][0], f["time/ymd"][1], f["time/ymd"][2], f['/time/UThour'][()])
dat['ne'] = [("x1", "x2", "x3"), f['/neall'][:].transpose(2, 0, 1)]
dat['v1'] = [("x1", "x2", "x3"), f['/v1avgall'][:].transpose(2, 0, 1)]
dat['Ti'] = [("x1", "x2", "x3"), f['/Tavgall'][:].transpose(2, 0, 1)]
dat['Te'] = [("x1", "x2", "x3"), f['/TEall'][:].transpose(2, 0, 1)]
dat['J1'] = [("x1", "x2", "x3"), f['/J1all'][:].transpose(2, 0, 1)]
dat['J2'] = [("x1", "x2", "x3"), f['/J2all'][:].transpose(2, 0, 1)]
dat['J3'] = [("x1", "x2", "x3"), f['/J3all'][:].transpose(2, 0, 1)]
dat['v2'] = [("x1", "x2", "x3"), f['/v2avgall'][:].transpose(2, 0, 1)]
dat['v3'] = [("x1", "x2", "x3"), f['/v3avgall'][:].transpose(2, 0, 1)]
dat["Phitop"] = [("x2", "x3"), f["/Phiall"][:]]
return dat
def loadglow_aurmap(fn: Path) -> typing.Dict[str, typing.Any]:
"""
read the auroral output from GLOW
Parameters
----------
fn: pathlib.Path
filename of this timestep of simulation output
"""
with h5py.File(fn, "r") as h:
dat = {'rayleighs': [("wavelength", "x2", "x3"), h['/aurora/iverout'][:]]}
return dat
def ymdhourdec2datetime(year: int, month: int, day: int, hourdec: float) -> datetime:
"""
convert year,month,day + decimal hour HH.hhh to time
"""
return datetime(year, month, day, int(hourdec), int((hourdec * 60) % 60)) + timedelta(seconds=(hourdec * 3600) % 60)