From 28a0f3f836f23770e83d70674e97d470178f2310 Mon Sep 17 00:00:00 2001 From: Matthew Iannucci Date: Wed, 5 Jul 2023 23:32:32 -0400 Subject: [PATCH 1/7] Start building out gribberish codec --- python/examples/requirements.txt | 6 ++- python/examples/xarray_usage.ipynb | 52 ++++++++++++------------- python/gribberish/gribberish_backend.py | 7 ++-- python/gribberish/kerchunk/__init__.py | 1 + python/gribberish/kerchunk/codec.py | 33 ++++++++++++++++ python/gribberish/kerchunk/mapper.py | 7 ++++ python/setup.py | 5 +++ 7 files changed, 81 insertions(+), 30 deletions(-) create mode 100644 python/gribberish/kerchunk/__init__.py create mode 100644 python/gribberish/kerchunk/codec.py create mode 100644 python/gribberish/kerchunk/mapper.py diff --git a/python/examples/requirements.txt b/python/examples/requirements.txt index 720a6f5..06c0eaa 100644 --- a/python/examples/requirements.txt +++ b/python/examples/requirements.txt @@ -1,4 +1,8 @@ numpy matplotlib xarray -cf_xarray \ No newline at end of file +cf_xarray +kerchunk +zarr +numcodecs +fsspec \ No newline at end of file diff --git a/python/examples/xarray_usage.ipynb b/python/examples/xarray_usage.ipynb index 2da0d90..e7c7345 100644 --- a/python/examples/xarray_usage.ipynb +++ b/python/examples/xarray_usage.ipynb @@ -400,23 +400,23 @@ " * latitude (latitude) float64 55.0 54.83 54.67 ... 0.3332 0.1666 -0.00011\n", " * longitude (longitude) float64 260.0 260.2 260.3 260.5 ... 309.7 309.8 310.0\n", "Data variables: (12/13)\n", - " htsgw (time, latitude, longitude) float64 ...\n", - " wvdir (time, latitude, longitude) float64 ...\n", - " perpw (time, latitude, longitude) float64 ...\n", - " ugrd (time, latitude, longitude) float64 ...\n", - " swdir (time, seq, latitude, longitude) float64 ...\n", - " wvper (time, latitude, longitude) float64 ...\n", - " ... ...\n", - " vgrd (time, latitude, longitude) float64 ...\n", + " dirpw (time, latitude, longitude) float64 ...\n", " wdir (time, latitude, longitude) float64 ...\n", + " wvhgt (time, latitude, longitude) float64 ...\n", + " swell (time, seq, latitude, longitude) float64 ...\n", " wind (time, latitude, longitude) float64 ...\n", + " ugrd (time, latitude, longitude) float64 ...\n", + " ... ...\n", + " swdir (time, seq, latitude, longitude) float64 ...\n", " swper (time, seq, latitude, longitude) float64 ...\n", - " dirpw (time, latitude, longitude) float64 ...\n", - " wvhgt (time, latitude, longitude) float64 ...\n", + " wvdir (time, latitude, longitude) float64 ...\n", + " vgrd (time, latitude, longitude) float64 ...\n", + " perpw (time, latitude, longitude) float64 ...\n", + " htsgw (time, latitude, longitude) float64 ...\n", "Attributes:\n", - " meta: Generated with gribberishpy
  • meta :
    Generated with gribberishpy
  • " ], "text/plain": [ "\n", @@ -443,19 +443,19 @@ " * latitude (latitude) float64 55.0 54.83 54.67 ... 0.3332 0.1666 -0.00011\n", " * longitude (longitude) float64 260.0 260.2 260.3 260.5 ... 309.7 309.8 310.0\n", "Data variables: (12/13)\n", - " htsgw (time, latitude, longitude) float64 ...\n", - " wvdir (time, latitude, longitude) float64 ...\n", - " perpw (time, latitude, longitude) float64 ...\n", - " ugrd (time, latitude, longitude) float64 ...\n", - " swdir (time, seq, latitude, longitude) float64 ...\n", - " wvper (time, latitude, longitude) float64 ...\n", - " ... ...\n", - " vgrd (time, latitude, longitude) float64 ...\n", + " dirpw (time, latitude, longitude) float64 ...\n", " wdir (time, latitude, longitude) float64 ...\n", + " wvhgt (time, latitude, longitude) float64 ...\n", + " swell (time, seq, latitude, longitude) float64 ...\n", " wind (time, latitude, longitude) float64 ...\n", + " ugrd (time, latitude, longitude) float64 ...\n", + " ... ...\n", + " swdir (time, seq, latitude, longitude) float64 ...\n", " swper (time, seq, latitude, longitude) float64 ...\n", - " dirpw (time, latitude, longitude) float64 ...\n", - " wvhgt (time, latitude, longitude) float64 ...\n", + " wvdir (time, latitude, longitude) float64 ...\n", + " vgrd (time, latitude, longitude) float64 ...\n", + " perpw (time, latitude, longitude) float64 ...\n", + " htsgw (time, latitude, longitude) float64 ...\n", "Attributes:\n", " meta: Generated with gribberishpy" ] @@ -478,7 +478,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 3, diff --git a/python/gribberish/gribberish_backend.py b/python/gribberish/gribberish_backend.py index 205c0ee..10bcde6 100644 --- a/python/gribberish/gribberish_backend.py +++ b/python/gribberish/gribberish_backend.py @@ -1,10 +1,11 @@ import os -import xarray as xr + import numpy as np +import xarray as xr +from xarray.backends.common import BackendEntrypoint, BackendArray +from xarray.core import indexing from .gribberishpy import parse_grid_dataset, build_grib_array -from xarray.backends.common import BackendEntrypoint, BackendArray, AbstractDataStore -from xarray.core import indexing def read_binary_data(filename: str): diff --git a/python/gribberish/kerchunk/__init__.py b/python/gribberish/kerchunk/__init__.py new file mode 100644 index 0000000..c944e7c --- /dev/null +++ b/python/gribberish/kerchunk/__init__.py @@ -0,0 +1 @@ +# module \ No newline at end of file diff --git a/python/gribberish/kerchunk/codec.py b/python/gribberish/kerchunk/codec.py new file mode 100644 index 0000000..f76af08 --- /dev/null +++ b/python/gribberish/kerchunk/codec.py @@ -0,0 +1,33 @@ +import numcodecs + +from ..gribberishpy import parse_grib_data + + +class GribberishCodec(numcodecs.abc.Codec): + """ + Read GRIB stream of bytes as a message using gribberish + + Adapted from https://github.com/fsspec/kerchunk/blob/main/kerchunk/codecs.py + """ + + # eclock = threading.RLock() + + codec_id = "gribberish" + + def __init__(self, var, dtype=None): + self.var = var + self.dtype = dtype + + def encode(self, buf): + # on encode, pass through + return buf + + def decode(self, buf, out=None): + data = parse_grib_data(buf, 0) + if out is not None: + return numcodecs.compat.ndarray_copy(data, out) + else: + return data.astype(self.dtype) + + +numcodecs.register_codec(GribberishCodec, "gribberish") \ No newline at end of file diff --git a/python/gribberish/kerchunk/mapper.py b/python/gribberish/kerchunk/mapper.py new file mode 100644 index 0000000..53032aa --- /dev/null +++ b/python/gribberish/kerchunk/mapper.py @@ -0,0 +1,7 @@ +import fsspec +import zarr +import numpy as np + +from kerchunk.utils import class_factory, _encode_for_JSON +from .codec import GribberishCodec + diff --git a/python/setup.py b/python/setup.py index d85570d..772d736 100644 --- a/python/setup.py +++ b/python/setup.py @@ -9,6 +9,11 @@ include_package_data=True, # rust extensions are not zip safe, just like C-extensions. zip_safe=False, + requires=["numpy"], + extras_require={ + "xarray": ["xarray"], + "kerchunk": ["kerchunk", "zarr", "numcodecs", "fsspec"], + }, entry_points={ "xarray.backends": ["gribberish=gribberish.gribberish_backend:GribberishBackend"], }, From b3aae9f50c3efd205446734778d25f692e497b63 Mon Sep 17 00:00:00 2001 From: Matthew Iannucci Date: Thu, 6 Jul 2023 16:34:26 -0400 Subject: [PATCH 2/7] First pass at untested kerchunk mapper --- python/gribberish/gribberish_backend.py | 3 +- python/gribberish/kerchunk/mapper.py | 163 ++++++++++++++++++++++++ python/src/dataset.rs | 3 + python/src/message.rs | 28 ++-- src/message_metadata.rs | 3 + 5 files changed, 190 insertions(+), 10 deletions(-) diff --git a/python/gribberish/gribberish_backend.py b/python/gribberish/gribberish_backend.py index 10bcde6..0b4b3b4 100644 --- a/python/gribberish/gribberish_backend.py +++ b/python/gribberish/gribberish_backend.py @@ -59,8 +59,9 @@ def guess_can_open(self, filename_or_obj): class GribberishBackendArray(BackendArray): ''' - Custom backend array for xarray to support lazy loading of gribberish datasets + Custom backend array to support lazy loading of gribberish datasets ''' + def __init__( self, filename_or_obj, diff --git a/python/gribberish/kerchunk/mapper.py b/python/gribberish/kerchunk/mapper.py index 53032aa..6258dea 100644 --- a/python/gribberish/kerchunk/mapper.py +++ b/python/gribberish/kerchunk/mapper.py @@ -1,7 +1,170 @@ +import base64 import fsspec import zarr import numpy as np from kerchunk.utils import class_factory, _encode_for_JSON from .codec import GribberishCodec +from ..gribberishpy import parse_grib_mapping, parse_grid_dataset + +def _split_file(f, skip=0): + if hasattr(f, "size"): + size = f.size + else: + f.seek(0, 2) + size = f.tell() + f.seek(0) + part = 0 + + while f.tell() < size: + logger.debug(f"extract part {part + 1}") + start = f.tell() + head = f.read(16) + marker = head[:4] + if not marker: + break # EOF + assert head[:4] == b"GRIB", "Bad grib message start marker" + part_size = int.from_bytes(head[12:], "big") + f.seek(start) + yield start, part_size, f.read(part_size) + part += 1 + if skip and part >= skip: + break + + +def _store_array_inline(store, z, data, var, attr): + shape = tuple(data.shape or ()) + d = z.create_dataset( + name=var, + shape=shape, + chunks=shape, + dtype=data.dtype, + fill_value=-9999.0, + compressor=False, + ) + if hasattr(data, "tobytes"): + b = data.tobytes() + else: + b = data.build_array().tobytes() + try: + # easiest way to test if data is ascii + b.decode("ascii") + except UnicodeDecodeError: + b = b"base64:" + base64.b64encode(data) + store[f"{var}/0"] = b.decode("ascii") + d.attrs.update(attr) + + +def _store_array_ref( + store, + z, + data_shape, + var, + offset, + size, + attr +): + shape = tuple(data_shape or ()) + data_type = np.dtype('float64') + d = z.create_dataset( + name=var, + shape=shape, + chunks=shape, + dtype=data_type, + fill_value=-9999.0, + filters=[GribberishCodec(var=var, dtype=str(data_type))], + compressor=False, + overwrite=True, + ) + store[f"{var}/" + ".".join(["0"] * len(shape))] = ["{{u}}", offset, size] + d.attrs.update(attr) + + +def scan_gribberish( + url, + common=None, + storage_options=None, + skip=0, + filter={}, +): + """ + Generate references for a GRIB2 file using gribberish + + Parameters + ---------- + + url: str + File location + common_vars: (depr, do not use) + storage_options: dict + For accessing the data, passed to filesystem + skip: int + If non-zero, stop processing the file after this many messages + only_vars: list(str) + If given, only store these variables + + Returns + ------- + + list(dict): references dicts in Version 1 format, one per message + """ + import eccodes + + storage_options = storage_options or {} + + out = [] + with fsspec.open(url, "rb", **storage_options) as f: + raw_data = f.read() + # messages = parse_grib_mapping(raw_data) + + for offset, size, data in _split_file(f, skip=skip): + dataset = parse_grid_dataset(data) + + # Only reading one variable from each data chunk (1 message) + var_name, var_data = next(iter(dataset['data_vars'].items())) + if only_vars and var_name not in only_vars: + continue + + store = {} + z = zarr.open_group(store) + z.attrs.update(dataset['attrs']) + + _store_array_ref( + store, + z, + var_data['values']['shape'], + var_name, + offset, + size, + var_data['attrs'] + ) + + # Coords + dims = var_data['dims'] + z[var_name].attrs["_ARRAY_DIMENSIONS"] = dims + + for coord_name, coord_data in dataset['coords'].items(): + # TODO: Prob dont store inline for non regular grids + _store_array_inline( + store, + z, + coord_data['values'], + coord_name, + offset, + size, + coord_data['attrs'] + ) + z[coord].attrs["_ARRAY_DIMENSIONS"] = dims + + out.append( + { + "version": 1, + "refs": _encode_for_JSON(store), + "templates": {"u": url}, + } + ) + return out + + +GribberishToZarr = class_factory(scan_gribberish) diff --git a/python/src/dataset.rs b/python/src/dataset.rs index dd42c2b..b45ed73 100644 --- a/python/src/dataset.rs +++ b/python/src/dataset.rs @@ -449,6 +449,9 @@ pub fn parse_grid_dataset<'py>( var_metadata .set_item("coordinates", "latitude longitude") .unwrap(); + var_metadata + .set_item("reference_date", PyDateTime::from_timestamp(py, first.2.reference_date.timestamp() as f64, None).unwrap()) + .unwrap(); var_metadata .set_item("generating_process", first.2.generating_process.to_string()) .unwrap(); diff --git a/python/src/message.rs b/python/src/message.rs index f41a169..6debefa 100644 --- a/python/src/message.rs +++ b/python/src/message.rs @@ -18,27 +18,32 @@ pub struct GribMessageMetadata { #[pymethods] impl GribMessageMetadata { #[getter] - fn get_var_name(&self) -> &str { + fn message_size(&self) -> usize { + self.inner.message_size + } + + #[getter] + fn var_name(&self) -> &str { self.inner.name.as_str() } #[getter] - fn get_var_abbrev(&self) -> &str { + fn var_abbrev(&self) -> &str { self.inner.var.as_str() } #[getter] - fn get_units(&self) -> &str { + fn units(&self) -> &str { self.inner.units.as_str() } #[getter] - fn get_generating_process(&self) -> String { + fn generating_process(&self) -> String { self.inner.generating_process.to_string() } #[getter] - fn get_statistical_process(&self) -> Option { + fn statistical_process(&self) -> Option { self.inner .statistical_process .clone() @@ -46,22 +51,22 @@ impl GribMessageMetadata { } #[getter] - fn get_level_type(&self) -> String { + fn level_type(&self) -> String { self.inner.first_fixed_surface_type.to_string() } #[getter] - fn get_level_value(&self) -> Option { + fn level_value(&self) -> Option { self.inner.first_fixed_surface_value } #[getter] - fn get_forecast_date<'py>(&self, py: Python<'py>) -> PyResult<&'py PyDateTime> { + fn forecast_date<'py>(&self, py: Python<'py>) -> PyResult<&'py PyDateTime> { PyDateTime::from_timestamp(py, self.inner.forecast_date.timestamp() as f64, None) } #[getter] - fn get_reference_date<'py>(&self, py: Python<'py>) -> PyResult<&'py PyDateTime> { + fn reference_date<'py>(&self, py: Python<'py>) -> PyResult<&'py PyDateTime> { PyDateTime::from_timestamp(py, self.inner.reference_date.timestamp() as f64, None) } @@ -85,6 +90,11 @@ impl GribMessageMetadata { self.inner.grid_shape } + #[getter] + fn array_len(&self) -> usize { + self.inner.data_point_count() + } + #[getter] fn spatial_dims<'py>(&self, _py: Python<'py>) -> Vec { if self.inner.is_regular_grid { diff --git a/src/message_metadata.rs b/src/message_metadata.rs index 9afa03c..2737b92 100644 --- a/src/message_metadata.rs +++ b/src/message_metadata.rs @@ -10,6 +10,7 @@ use crate::{ #[derive(Clone, Debug)] pub struct MessageMetadata { pub key: String, + pub message_size: usize, pub var: String, pub name: String, pub units: String, @@ -80,6 +81,7 @@ impl<'a> TryFrom<&Message<'a>> for MessageMetadata { Ok(MessageMetadata { key: message.key()?, + message_size: message.len(), var: message.variable_abbrev()?, name: message.variable_name()?, units: message.unit()?, @@ -124,6 +126,7 @@ impl<'a> TryFrom<(&Message<'a>, Vec, Vec)> for MessageMetadata { Ok(MessageMetadata { key: message.key()?, + message_size: message.len(), var: message.variable_abbrev()?, name: message.variable_name()?, units: message.unit()?, From 73decf318143dbac082886909c102e855a46680b Mon Sep 17 00:00:00 2001 From: Matthew Iannucci Date: Thu, 6 Jul 2023 17:06:16 -0400 Subject: [PATCH 3/7] Start getting kerhcunking to actually work --- python/examples/kerchunk_gefs_wave.ipynb | 176 +++++++++++++++++++++++ python/examples/requirements.txt | 3 +- python/gribberish/kerchunk/__init__.py | 4 +- python/gribberish/kerchunk/mapper.py | 12 +- python/src/dataset.rs | 8 +- python/src/message.rs | 2 +- 6 files changed, 189 insertions(+), 16 deletions(-) create mode 100644 python/examples/kerchunk_gefs_wave.ipynb diff --git a/python/examples/kerchunk_gefs_wave.ipynb b/python/examples/kerchunk_gefs_wave.ipynb new file mode 100644 index 0000000..35f599f --- /dev/null +++ b/python/examples/kerchunk_gefs_wave.ipynb @@ -0,0 +1,176 @@ +{ + "cells": [ + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# GEFS Wave Global Collection\n", + "\n", + "Reads the Global GEFS Wave grib collection from NODD's S3 bucket and creates a single dataset using fsspec's ReferenceFileSystem\n", + "\n", + "This notebook demonstrates how to generate the reference JSON files using Kerchunk and gribberish. It was adapted from [this notebook](https://nbviewer.org/gist/peterm790/92eb1df3d58ba41d3411f8a840be2452)" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import fsspec" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Create the virtual filesystem from which to read the NODD s3 bucket. We are going to write the resulting dataset out to our local filesystem, so we leave the write system blank" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "fs_read = fsspec.filesystem('s3', anon=True, skip_instance_cache=True, use_ssl=False) # For now SSL false is solving my cert issues **shrug**\n", + "fs_write = fsspec.filesystem('')" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now, grab all of the files for the given model run" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Read 105 GEFS files\n" + ] + } + ], + "source": [ + "#https://noaa-gefs-pds.s3.amazonaws.com/gefs.20230706/12/wave/gridded/gefs.wave.t12z.p01.global.0p25.f012.grib2\n", + "gefs_ens_member_files = fs_read.glob('s3://noaa-gefs-pds/gefs.20230706/12/wave/gridded/gefs.wave.t12z.p01.global.0p25.*.grib2')\n", + "\n", + "files = sorted(['s3://'+f for f in gefs_ens_member_files])\n", + "print(f'Read {len(files)} GEFS files')" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "For each file, we will scan it with gribberish and extract its data to a dictionary formatted to the zarr spec. Then we will write that dictionary to a JSON file with the name formatting specified in the `make_json_name` function" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "import ujson\n", + "from gribberish.kerchunk import scan_gribberish\n", + "\n", + "so = {\"anon\": True, \"use_ssl\": False}\n", + "json_dir = 'gefs_wave/'\n", + "\n", + "def make_json_name(file_url, message_number): #create a unique name for each reference file\n", + " date = file_url.split('/')[3].split('.')[1]\n", + " name = file_url.split('/')[7].split('.')[0:5]\n", + " return f'{json_dir}{date}_{name[0]}_{name[1]}_{name[2]}_{name[4]}_message{message_number}.json'\n", + "\n", + "def gen_json(file_url):\n", + " print(f'Processing {file_url}...')\n", + " out = scan_gribberish(file_url, storage_options=so) # create the reference using scan_grib\n", + " print(out)\n", + " for i, message in enumerate(out): # scan_grib outputs a list containing one reference per grib message\n", + " out_file_name = make_json_name(file_url, i) # get name\n", + " with fs_write.open(out_file_name, \"w\") as f: \n", + " f.write(ujson.dumps(message)) # write to file" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Processing s3://noaa-gefs-pds/gefs.20230706/12/wave/gridded/gefs.wave.t12z.p01.global.0p25.f000.grib2...\n" + ] + }, + { + "ename": "ValueError", + "evalue": "missing object_codec for object array", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", + "File \u001b[0;32m:3\u001b[0m\n", + "Cell \u001b[0;32mIn[4], line 14\u001b[0m, in \u001b[0;36mgen_json\u001b[0;34m(file_url)\u001b[0m\n\u001b[1;32m 12\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mgen_json\u001b[39m(file_url):\n\u001b[1;32m 13\u001b[0m \u001b[39mprint\u001b[39m(\u001b[39mf\u001b[39m\u001b[39m'\u001b[39m\u001b[39mProcessing \u001b[39m\u001b[39m{\u001b[39;00mfile_url\u001b[39m}\u001b[39;00m\u001b[39m...\u001b[39m\u001b[39m'\u001b[39m)\n\u001b[0;32m---> 14\u001b[0m out \u001b[39m=\u001b[39m scan_gribberish(file_url, storage_options\u001b[39m=\u001b[39;49mso) \u001b[39m# create the reference using scan_grib\u001b[39;00m\n\u001b[1;32m 15\u001b[0m \u001b[39mprint\u001b[39m(out)\n\u001b[1;32m 16\u001b[0m \u001b[39mfor\u001b[39;00m i, message \u001b[39min\u001b[39;00m \u001b[39menumerate\u001b[39m(out): \u001b[39m# scan_grib outputs a list containing one reference per grib message\u001b[39;00m\n", + "File \u001b[0;32m~/Developer/gribberish/python/gribberish/kerchunk/mapper.py:145\u001b[0m, in \u001b[0;36mscan_gribberish\u001b[0;34m(url, common, storage_options, skip, only_vars)\u001b[0m\n\u001b[1;32m 141\u001b[0m z[var_name]\u001b[39m.\u001b[39mattrs[\u001b[39m\"\u001b[39m\u001b[39m_ARRAY_DIMENSIONS\u001b[39m\u001b[39m\"\u001b[39m] \u001b[39m=\u001b[39m dims\n\u001b[1;32m 143\u001b[0m \u001b[39mfor\u001b[39;00m coord_name, coord_data \u001b[39min\u001b[39;00m dataset[\u001b[39m'\u001b[39m\u001b[39mcoords\u001b[39m\u001b[39m'\u001b[39m]\u001b[39m.\u001b[39mitems():\n\u001b[1;32m 144\u001b[0m \u001b[39m# TODO: Prob dont store inline for non regular grids\u001b[39;00m\n\u001b[0;32m--> 145\u001b[0m _store_array_inline(\n\u001b[1;32m 146\u001b[0m store,\n\u001b[1;32m 147\u001b[0m z,\n\u001b[1;32m 148\u001b[0m np\u001b[39m.\u001b[39;49marray(coord_data[\u001b[39m'\u001b[39;49m\u001b[39mvalues\u001b[39;49m\u001b[39m'\u001b[39;49m]),\n\u001b[1;32m 149\u001b[0m coord_name,\n\u001b[1;32m 150\u001b[0m coord_data[\u001b[39m'\u001b[39;49m\u001b[39mattrs\u001b[39;49m\u001b[39m'\u001b[39;49m]\n\u001b[1;32m 151\u001b[0m )\n\u001b[1;32m 152\u001b[0m z[coord_name]\u001b[39m.\u001b[39mattrs[\u001b[39m\"\u001b[39m\u001b[39m_ARRAY_DIMENSIONS\u001b[39m\u001b[39m\"\u001b[39m] \u001b[39m=\u001b[39m dims\n\u001b[1;32m 154\u001b[0m out\u001b[39m.\u001b[39mappend(\n\u001b[1;32m 155\u001b[0m {\n\u001b[1;32m 156\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mversion\u001b[39m\u001b[39m\"\u001b[39m: \u001b[39m1\u001b[39m,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 159\u001b[0m }\n\u001b[1;32m 160\u001b[0m )\n", + "File \u001b[0;32m~/Developer/gribberish/python/gribberish/kerchunk/mapper.py:37\u001b[0m, in \u001b[0;36m_store_array_inline\u001b[0;34m(store, z, data, var, attr)\u001b[0m\n\u001b[1;32m 35\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_store_array_inline\u001b[39m(store, z, data, var, attr):\n\u001b[1;32m 36\u001b[0m shape \u001b[39m=\u001b[39m \u001b[39mtuple\u001b[39m(data\u001b[39m.\u001b[39mshape \u001b[39mor\u001b[39;00m ())\n\u001b[0;32m---> 37\u001b[0m d \u001b[39m=\u001b[39m z\u001b[39m.\u001b[39;49mcreate_dataset(\n\u001b[1;32m 38\u001b[0m name\u001b[39m=\u001b[39;49mvar,\n\u001b[1;32m 39\u001b[0m shape\u001b[39m=\u001b[39;49mshape,\n\u001b[1;32m 40\u001b[0m chunks\u001b[39m=\u001b[39;49mshape,\n\u001b[1;32m 41\u001b[0m dtype\u001b[39m=\u001b[39;49mdata\u001b[39m.\u001b[39;49mdtype,\n\u001b[1;32m 42\u001b[0m fill_value\u001b[39m=\u001b[39;49m\u001b[39m-\u001b[39;49m\u001b[39m9999.0\u001b[39;49m,\n\u001b[1;32m 43\u001b[0m compressor\u001b[39m=\u001b[39;49m\u001b[39mFalse\u001b[39;49;00m,\n\u001b[1;32m 44\u001b[0m )\n\u001b[1;32m 45\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mhasattr\u001b[39m(data, \u001b[39m\"\u001b[39m\u001b[39mtobytes\u001b[39m\u001b[39m\"\u001b[39m):\n\u001b[1;32m 46\u001b[0m b \u001b[39m=\u001b[39m data\u001b[39m.\u001b[39mtobytes()\n", + "File \u001b[0;32m~/Developer/gribberish/python/examples/env/lib/python3.9/site-packages/zarr/hierarchy.py:1043\u001b[0m, in \u001b[0;36mGroup.create_dataset\u001b[0;34m(self, name, **kwargs)\u001b[0m\n\u001b[1;32m 984\u001b[0m \u001b[39m\"\"\"Create an array.\u001b[39;00m\n\u001b[1;32m 985\u001b[0m \n\u001b[1;32m 986\u001b[0m \u001b[39mArrays are known as \"datasets\" in HDF5 terminology. For compatibility\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 1039\u001b[0m \n\u001b[1;32m 1040\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[1;32m 1041\u001b[0m \u001b[39massert\u001b[39;00m \u001b[39m\"\u001b[39m\u001b[39mmode\u001b[39m\u001b[39m\"\u001b[39m \u001b[39mnot\u001b[39;00m \u001b[39min\u001b[39;00m kwargs\n\u001b[0;32m-> 1043\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_write_op(\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_create_dataset_nosync, name, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n", + "File \u001b[0;32m~/Developer/gribberish/python/examples/env/lib/python3.9/site-packages/zarr/hierarchy.py:895\u001b[0m, in \u001b[0;36mGroup._write_op\u001b[0;34m(self, f, *args, **kwargs)\u001b[0m\n\u001b[1;32m 892\u001b[0m lock \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_synchronizer[group_meta_key]\n\u001b[1;32m 894\u001b[0m \u001b[39mwith\u001b[39;00m lock:\n\u001b[0;32m--> 895\u001b[0m \u001b[39mreturn\u001b[39;00m f(\u001b[39m*\u001b[39;49margs, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n", + "File \u001b[0;32m~/Developer/gribberish/python/examples/env/lib/python3.9/site-packages/zarr/hierarchy.py:1056\u001b[0m, in \u001b[0;36mGroup._create_dataset_nosync\u001b[0;34m(self, name, data, **kwargs)\u001b[0m\n\u001b[1;32m 1054\u001b[0m \u001b[39m# create array\u001b[39;00m\n\u001b[1;32m 1055\u001b[0m \u001b[39mif\u001b[39;00m data \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[0;32m-> 1056\u001b[0m a \u001b[39m=\u001b[39m create(store\u001b[39m=\u001b[39;49m\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_store, path\u001b[39m=\u001b[39;49mpath, chunk_store\u001b[39m=\u001b[39;49m\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_chunk_store,\n\u001b[1;32m 1057\u001b[0m \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n\u001b[1;32m 1059\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[1;32m 1060\u001b[0m a \u001b[39m=\u001b[39m array(data, store\u001b[39m=\u001b[39m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_store, path\u001b[39m=\u001b[39mpath, chunk_store\u001b[39m=\u001b[39m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_chunk_store,\n\u001b[1;32m 1061\u001b[0m \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs)\n", + "File \u001b[0;32m~/Developer/gribberish/python/examples/env/lib/python3.9/site-packages/zarr/creation.py:178\u001b[0m, in \u001b[0;36mcreate\u001b[0;34m(shape, chunks, dtype, compressor, fill_value, order, store, synchronizer, overwrite, path, chunk_store, filters, cache_metadata, cache_attrs, read_only, object_codec, dimension_separator, write_empty_chunks, zarr_version, meta_array, storage_transformers, **kwargs)\u001b[0m\n\u001b[1;32m 175\u001b[0m path \u001b[39m=\u001b[39m \u001b[39m'\u001b[39m\u001b[39m/\u001b[39m\u001b[39m'\u001b[39m\n\u001b[1;32m 177\u001b[0m \u001b[39m# initialize array metadata\u001b[39;00m\n\u001b[0;32m--> 178\u001b[0m init_array(store, shape\u001b[39m=\u001b[39;49mshape, chunks\u001b[39m=\u001b[39;49mchunks, dtype\u001b[39m=\u001b[39;49mdtype, compressor\u001b[39m=\u001b[39;49mcompressor,\n\u001b[1;32m 179\u001b[0m fill_value\u001b[39m=\u001b[39;49mfill_value, order\u001b[39m=\u001b[39;49morder, overwrite\u001b[39m=\u001b[39;49moverwrite, path\u001b[39m=\u001b[39;49mpath,\n\u001b[1;32m 180\u001b[0m chunk_store\u001b[39m=\u001b[39;49mchunk_store, filters\u001b[39m=\u001b[39;49mfilters, object_codec\u001b[39m=\u001b[39;49mobject_codec,\n\u001b[1;32m 181\u001b[0m dimension_separator\u001b[39m=\u001b[39;49mdimension_separator, storage_transformers\u001b[39m=\u001b[39;49mstorage_transformers)\n\u001b[1;32m 183\u001b[0m \u001b[39m# instantiate array\u001b[39;00m\n\u001b[1;32m 184\u001b[0m z \u001b[39m=\u001b[39m Array(store, path\u001b[39m=\u001b[39mpath, chunk_store\u001b[39m=\u001b[39mchunk_store, synchronizer\u001b[39m=\u001b[39msynchronizer,\n\u001b[1;32m 185\u001b[0m cache_metadata\u001b[39m=\u001b[39mcache_metadata, cache_attrs\u001b[39m=\u001b[39mcache_attrs, read_only\u001b[39m=\u001b[39mread_only,\n\u001b[1;32m 186\u001b[0m write_empty_chunks\u001b[39m=\u001b[39mwrite_empty_chunks, meta_array\u001b[39m=\u001b[39mmeta_array)\n", + "File \u001b[0;32m~/Developer/gribberish/python/examples/env/lib/python3.9/site-packages/zarr/storage.py:438\u001b[0m, in \u001b[0;36minit_array\u001b[0;34m(store, shape, chunks, dtype, compressor, fill_value, order, overwrite, path, chunk_store, filters, object_codec, dimension_separator, storage_transformers)\u001b[0m\n\u001b[1;32m 435\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m compressor:\n\u001b[1;32m 436\u001b[0m \u001b[39m# compatibility with legacy tests using compressor=[]\u001b[39;00m\n\u001b[1;32m 437\u001b[0m compressor \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m\n\u001b[0;32m--> 438\u001b[0m _init_array_metadata(store, shape\u001b[39m=\u001b[39;49mshape, chunks\u001b[39m=\u001b[39;49mchunks, dtype\u001b[39m=\u001b[39;49mdtype,\n\u001b[1;32m 439\u001b[0m compressor\u001b[39m=\u001b[39;49mcompressor, fill_value\u001b[39m=\u001b[39;49mfill_value,\n\u001b[1;32m 440\u001b[0m order\u001b[39m=\u001b[39;49morder, overwrite\u001b[39m=\u001b[39;49moverwrite, path\u001b[39m=\u001b[39;49mpath,\n\u001b[1;32m 441\u001b[0m chunk_store\u001b[39m=\u001b[39;49mchunk_store, filters\u001b[39m=\u001b[39;49mfilters,\n\u001b[1;32m 442\u001b[0m object_codec\u001b[39m=\u001b[39;49mobject_codec,\n\u001b[1;32m 443\u001b[0m dimension_separator\u001b[39m=\u001b[39;49mdimension_separator,\n\u001b[1;32m 444\u001b[0m storage_transformers\u001b[39m=\u001b[39;49mstorage_transformers)\n", + "File \u001b[0;32m~/Developer/gribberish/python/examples/env/lib/python3.9/site-packages/zarr/storage.py:559\u001b[0m, in \u001b[0;36m_init_array_metadata\u001b[0;34m(store, shape, chunks, dtype, compressor, fill_value, order, overwrite, path, chunk_store, filters, object_codec, dimension_separator, storage_transformers)\u001b[0m\n\u001b[1;32m 556\u001b[0m \u001b[39mif\u001b[39;00m object_codec \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[1;32m 557\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m filters:\n\u001b[1;32m 558\u001b[0m \u001b[39m# there are no filters so we can be sure there is no object codec\u001b[39;00m\n\u001b[0;32m--> 559\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mValueError\u001b[39;00m(\u001b[39m'\u001b[39m\u001b[39mmissing object_codec for object array\u001b[39m\u001b[39m'\u001b[39m)\n\u001b[1;32m 560\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[1;32m 561\u001b[0m \u001b[39m# one of the filters may be an object codec, issue a warning rather\u001b[39;00m\n\u001b[1;32m 562\u001b[0m \u001b[39m# than raise an error to maintain backwards-compatibility\u001b[39;00m\n\u001b[1;32m 563\u001b[0m warnings\u001b[39m.\u001b[39mwarn(\u001b[39m'\u001b[39m\u001b[39mmissing object_codec for object array; this will raise a \u001b[39m\u001b[39m'\u001b[39m\n\u001b[1;32m 564\u001b[0m \u001b[39m'\u001b[39m\u001b[39mValueError in version 3.0\u001b[39m\u001b[39m'\u001b[39m, \u001b[39mFutureWarning\u001b[39;00m)\n", + "\u001b[0;31mValueError\u001b[0m: missing object_codec for object array" + ] + } + ], + "source": [ + "%%time\n", + "#this step is best run via a cluster\n", + "for f in files[0:1]:\n", + " gen_json(f)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "env", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.11" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/python/examples/requirements.txt b/python/examples/requirements.txt index 06c0eaa..48097e4 100644 --- a/python/examples/requirements.txt +++ b/python/examples/requirements.txt @@ -5,4 +5,5 @@ cf_xarray kerchunk zarr numcodecs -fsspec \ No newline at end of file +fsspec +ujson \ No newline at end of file diff --git a/python/gribberish/kerchunk/__init__.py b/python/gribberish/kerchunk/__init__.py index c944e7c..5bac440 100644 --- a/python/gribberish/kerchunk/__init__.py +++ b/python/gribberish/kerchunk/__init__.py @@ -1 +1,3 @@ -# module \ No newline at end of file +# module +from .codec import * +from .mapper import * \ No newline at end of file diff --git a/python/gribberish/kerchunk/mapper.py b/python/gribberish/kerchunk/mapper.py index 6258dea..0ccc53b 100644 --- a/python/gribberish/kerchunk/mapper.py +++ b/python/gribberish/kerchunk/mapper.py @@ -18,7 +18,6 @@ def _split_file(f, skip=0): part = 0 while f.tell() < size: - logger.debug(f"extract part {part + 1}") start = f.tell() head = f.read(16) marker = head[:4] @@ -86,7 +85,7 @@ def scan_gribberish( common=None, storage_options=None, skip=0, - filter={}, + only_vars=None, ): """ Generate references for a GRIB2 file using gribberish @@ -115,9 +114,6 @@ def scan_gribberish( out = [] with fsspec.open(url, "rb", **storage_options) as f: - raw_data = f.read() - # messages = parse_grib_mapping(raw_data) - for offset, size, data in _split_file(f, skip=skip): dataset = parse_grid_dataset(data) @@ -149,13 +145,11 @@ def scan_gribberish( _store_array_inline( store, z, - coord_data['values'], + np.array(coord_data['values']), coord_name, - offset, - size, coord_data['attrs'] ) - z[coord].attrs["_ARRAY_DIMENSIONS"] = dims + z[coord_name].attrs["_ARRAY_DIMENSIONS"] = dims out.append( { diff --git a/python/src/dataset.rs b/python/src/dataset.rs index b45ed73..43c33a3 100644 --- a/python/src/dataset.rs +++ b/python/src/dataset.rs @@ -6,7 +6,7 @@ use gribberish::{ }; use numpy::{ ndarray::{Dim, IxDynImpl}, - PyArray, + PyArray, PyArray1, }; use pyo3::{ prelude::*, @@ -397,12 +397,12 @@ pub fn parse_grid_dataset<'py>( if first.2.is_regular_grid { latitude.set_item("dims", vec!["latitude"]).unwrap(); latitude - .set_item("values", PyArray::from_slice(py, &first.2.lat())) + .set_item("values", PyArray1::from_slice(py, &first.2.lat())) .unwrap(); longitude.set_item("dims", vec!["longitude"]).unwrap(); longitude - .set_item("values", PyArray::from_slice(py, &first.2.lng())) + .set_item("values", PyArray1::from_slice(py, &first.2.lng())) .unwrap(); var_dims.iter_mut().for_each(|(_, v)| { @@ -450,7 +450,7 @@ pub fn parse_grid_dataset<'py>( .set_item("coordinates", "latitude longitude") .unwrap(); var_metadata - .set_item("reference_date", PyDateTime::from_timestamp(py, first.2.reference_date.timestamp() as f64, None).unwrap()) + .set_item("reference_date", first.2.reference_date.to_rfc3339()) .unwrap(); var_metadata .set_item("generating_process", first.2.generating_process.to_string()) diff --git a/python/src/message.rs b/python/src/message.rs index 6debefa..a4c34ae 100644 --- a/python/src/message.rs +++ b/python/src/message.rs @@ -213,7 +213,7 @@ pub fn parse_grib_mapping( .filter_map(|(k, v)| { let message: GribMessageMetadata = GribMessageMetadata { inner: v.2 }; - if drop_variables.contains(&message.get_var_name().to_lowercase()) { + if drop_variables.contains(&message.var_name().to_lowercase()) { None } else { Some((k.clone(), (v.0, v.1, message))) From b35061f3d633dea1d1666289a61c35107f113da6 Mon Sep 17 00:00:00 2001 From: Matthew Iannucci Date: Thu, 6 Jul 2023 18:34:53 -0400 Subject: [PATCH 4/7] Kerchunk generation weorks, yet to be tested reading into xarray --- python/examples/kerchunk_gefs_wave.ipynb | 26 ++++-------------------- python/gribberish/kerchunk/mapper.py | 2 -- python/src/dataset.rs | 5 +++-- 3 files changed, 7 insertions(+), 26 deletions(-) diff --git a/python/examples/kerchunk_gefs_wave.ipynb b/python/examples/kerchunk_gefs_wave.ipynb index 35f599f..a85d01e 100644 --- a/python/examples/kerchunk_gefs_wave.ipynb +++ b/python/examples/kerchunk_gefs_wave.ipynb @@ -96,7 +96,6 @@ "def gen_json(file_url):\n", " print(f'Processing {file_url}...')\n", " out = scan_gribberish(file_url, storage_options=so) # create the reference using scan_grib\n", - " print(out)\n", " for i, message in enumerate(out): # scan_grib outputs a list containing one reference per grib message\n", " out_file_name = make_json_name(file_url, i) # get name\n", " with fs_write.open(out_file_name, \"w\") as f: \n", @@ -112,27 +111,10 @@ "name": "stdout", "output_type": "stream", "text": [ - "Processing s3://noaa-gefs-pds/gefs.20230706/12/wave/gridded/gefs.wave.t12z.p01.global.0p25.f000.grib2...\n" - ] - }, - { - "ename": "ValueError", - "evalue": "missing object_codec for object array", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", - "File \u001b[0;32m:3\u001b[0m\n", - "Cell \u001b[0;32mIn[4], line 14\u001b[0m, in \u001b[0;36mgen_json\u001b[0;34m(file_url)\u001b[0m\n\u001b[1;32m 12\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mgen_json\u001b[39m(file_url):\n\u001b[1;32m 13\u001b[0m \u001b[39mprint\u001b[39m(\u001b[39mf\u001b[39m\u001b[39m'\u001b[39m\u001b[39mProcessing \u001b[39m\u001b[39m{\u001b[39;00mfile_url\u001b[39m}\u001b[39;00m\u001b[39m...\u001b[39m\u001b[39m'\u001b[39m)\n\u001b[0;32m---> 14\u001b[0m out \u001b[39m=\u001b[39m scan_gribberish(file_url, storage_options\u001b[39m=\u001b[39;49mso) \u001b[39m# create the reference using scan_grib\u001b[39;00m\n\u001b[1;32m 15\u001b[0m \u001b[39mprint\u001b[39m(out)\n\u001b[1;32m 16\u001b[0m \u001b[39mfor\u001b[39;00m i, message \u001b[39min\u001b[39;00m \u001b[39menumerate\u001b[39m(out): \u001b[39m# scan_grib outputs a list containing one reference per grib message\u001b[39;00m\n", - "File \u001b[0;32m~/Developer/gribberish/python/gribberish/kerchunk/mapper.py:145\u001b[0m, in \u001b[0;36mscan_gribberish\u001b[0;34m(url, common, storage_options, skip, only_vars)\u001b[0m\n\u001b[1;32m 141\u001b[0m z[var_name]\u001b[39m.\u001b[39mattrs[\u001b[39m\"\u001b[39m\u001b[39m_ARRAY_DIMENSIONS\u001b[39m\u001b[39m\"\u001b[39m] \u001b[39m=\u001b[39m dims\n\u001b[1;32m 143\u001b[0m \u001b[39mfor\u001b[39;00m coord_name, coord_data \u001b[39min\u001b[39;00m dataset[\u001b[39m'\u001b[39m\u001b[39mcoords\u001b[39m\u001b[39m'\u001b[39m]\u001b[39m.\u001b[39mitems():\n\u001b[1;32m 144\u001b[0m \u001b[39m# TODO: Prob dont store inline for non regular grids\u001b[39;00m\n\u001b[0;32m--> 145\u001b[0m _store_array_inline(\n\u001b[1;32m 146\u001b[0m store,\n\u001b[1;32m 147\u001b[0m z,\n\u001b[1;32m 148\u001b[0m np\u001b[39m.\u001b[39;49marray(coord_data[\u001b[39m'\u001b[39;49m\u001b[39mvalues\u001b[39;49m\u001b[39m'\u001b[39;49m]),\n\u001b[1;32m 149\u001b[0m coord_name,\n\u001b[1;32m 150\u001b[0m coord_data[\u001b[39m'\u001b[39;49m\u001b[39mattrs\u001b[39;49m\u001b[39m'\u001b[39;49m]\n\u001b[1;32m 151\u001b[0m )\n\u001b[1;32m 152\u001b[0m z[coord_name]\u001b[39m.\u001b[39mattrs[\u001b[39m\"\u001b[39m\u001b[39m_ARRAY_DIMENSIONS\u001b[39m\u001b[39m\"\u001b[39m] \u001b[39m=\u001b[39m dims\n\u001b[1;32m 154\u001b[0m out\u001b[39m.\u001b[39mappend(\n\u001b[1;32m 155\u001b[0m {\n\u001b[1;32m 156\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mversion\u001b[39m\u001b[39m\"\u001b[39m: \u001b[39m1\u001b[39m,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 159\u001b[0m }\n\u001b[1;32m 160\u001b[0m )\n", - "File \u001b[0;32m~/Developer/gribberish/python/gribberish/kerchunk/mapper.py:37\u001b[0m, in \u001b[0;36m_store_array_inline\u001b[0;34m(store, z, data, var, attr)\u001b[0m\n\u001b[1;32m 35\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_store_array_inline\u001b[39m(store, z, data, var, attr):\n\u001b[1;32m 36\u001b[0m shape \u001b[39m=\u001b[39m \u001b[39mtuple\u001b[39m(data\u001b[39m.\u001b[39mshape \u001b[39mor\u001b[39;00m ())\n\u001b[0;32m---> 37\u001b[0m d \u001b[39m=\u001b[39m z\u001b[39m.\u001b[39;49mcreate_dataset(\n\u001b[1;32m 38\u001b[0m name\u001b[39m=\u001b[39;49mvar,\n\u001b[1;32m 39\u001b[0m shape\u001b[39m=\u001b[39;49mshape,\n\u001b[1;32m 40\u001b[0m chunks\u001b[39m=\u001b[39;49mshape,\n\u001b[1;32m 41\u001b[0m dtype\u001b[39m=\u001b[39;49mdata\u001b[39m.\u001b[39;49mdtype,\n\u001b[1;32m 42\u001b[0m fill_value\u001b[39m=\u001b[39;49m\u001b[39m-\u001b[39;49m\u001b[39m9999.0\u001b[39;49m,\n\u001b[1;32m 43\u001b[0m compressor\u001b[39m=\u001b[39;49m\u001b[39mFalse\u001b[39;49;00m,\n\u001b[1;32m 44\u001b[0m )\n\u001b[1;32m 45\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mhasattr\u001b[39m(data, \u001b[39m\"\u001b[39m\u001b[39mtobytes\u001b[39m\u001b[39m\"\u001b[39m):\n\u001b[1;32m 46\u001b[0m b \u001b[39m=\u001b[39m data\u001b[39m.\u001b[39mtobytes()\n", - "File \u001b[0;32m~/Developer/gribberish/python/examples/env/lib/python3.9/site-packages/zarr/hierarchy.py:1043\u001b[0m, in \u001b[0;36mGroup.create_dataset\u001b[0;34m(self, name, **kwargs)\u001b[0m\n\u001b[1;32m 984\u001b[0m \u001b[39m\"\"\"Create an array.\u001b[39;00m\n\u001b[1;32m 985\u001b[0m \n\u001b[1;32m 986\u001b[0m \u001b[39mArrays are known as \"datasets\" in HDF5 terminology. For compatibility\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 1039\u001b[0m \n\u001b[1;32m 1040\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[1;32m 1041\u001b[0m \u001b[39massert\u001b[39;00m \u001b[39m\"\u001b[39m\u001b[39mmode\u001b[39m\u001b[39m\"\u001b[39m \u001b[39mnot\u001b[39;00m \u001b[39min\u001b[39;00m kwargs\n\u001b[0;32m-> 1043\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_write_op(\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_create_dataset_nosync, name, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n", - "File \u001b[0;32m~/Developer/gribberish/python/examples/env/lib/python3.9/site-packages/zarr/hierarchy.py:895\u001b[0m, in \u001b[0;36mGroup._write_op\u001b[0;34m(self, f, *args, **kwargs)\u001b[0m\n\u001b[1;32m 892\u001b[0m lock \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_synchronizer[group_meta_key]\n\u001b[1;32m 894\u001b[0m \u001b[39mwith\u001b[39;00m lock:\n\u001b[0;32m--> 895\u001b[0m \u001b[39mreturn\u001b[39;00m f(\u001b[39m*\u001b[39;49margs, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n", - "File \u001b[0;32m~/Developer/gribberish/python/examples/env/lib/python3.9/site-packages/zarr/hierarchy.py:1056\u001b[0m, in \u001b[0;36mGroup._create_dataset_nosync\u001b[0;34m(self, name, data, **kwargs)\u001b[0m\n\u001b[1;32m 1054\u001b[0m \u001b[39m# create array\u001b[39;00m\n\u001b[1;32m 1055\u001b[0m \u001b[39mif\u001b[39;00m data \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[0;32m-> 1056\u001b[0m a \u001b[39m=\u001b[39m create(store\u001b[39m=\u001b[39;49m\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_store, path\u001b[39m=\u001b[39;49mpath, chunk_store\u001b[39m=\u001b[39;49m\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_chunk_store,\n\u001b[1;32m 1057\u001b[0m \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n\u001b[1;32m 1059\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[1;32m 1060\u001b[0m a \u001b[39m=\u001b[39m array(data, store\u001b[39m=\u001b[39m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_store, path\u001b[39m=\u001b[39mpath, chunk_store\u001b[39m=\u001b[39m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_chunk_store,\n\u001b[1;32m 1061\u001b[0m \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs)\n", - "File \u001b[0;32m~/Developer/gribberish/python/examples/env/lib/python3.9/site-packages/zarr/creation.py:178\u001b[0m, in \u001b[0;36mcreate\u001b[0;34m(shape, chunks, dtype, compressor, fill_value, order, store, synchronizer, overwrite, path, chunk_store, filters, cache_metadata, cache_attrs, read_only, object_codec, dimension_separator, write_empty_chunks, zarr_version, meta_array, storage_transformers, **kwargs)\u001b[0m\n\u001b[1;32m 175\u001b[0m path \u001b[39m=\u001b[39m \u001b[39m'\u001b[39m\u001b[39m/\u001b[39m\u001b[39m'\u001b[39m\n\u001b[1;32m 177\u001b[0m \u001b[39m# initialize array metadata\u001b[39;00m\n\u001b[0;32m--> 178\u001b[0m init_array(store, shape\u001b[39m=\u001b[39;49mshape, chunks\u001b[39m=\u001b[39;49mchunks, dtype\u001b[39m=\u001b[39;49mdtype, compressor\u001b[39m=\u001b[39;49mcompressor,\n\u001b[1;32m 179\u001b[0m fill_value\u001b[39m=\u001b[39;49mfill_value, order\u001b[39m=\u001b[39;49morder, overwrite\u001b[39m=\u001b[39;49moverwrite, path\u001b[39m=\u001b[39;49mpath,\n\u001b[1;32m 180\u001b[0m chunk_store\u001b[39m=\u001b[39;49mchunk_store, filters\u001b[39m=\u001b[39;49mfilters, object_codec\u001b[39m=\u001b[39;49mobject_codec,\n\u001b[1;32m 181\u001b[0m dimension_separator\u001b[39m=\u001b[39;49mdimension_separator, storage_transformers\u001b[39m=\u001b[39;49mstorage_transformers)\n\u001b[1;32m 183\u001b[0m \u001b[39m# instantiate array\u001b[39;00m\n\u001b[1;32m 184\u001b[0m z \u001b[39m=\u001b[39m Array(store, path\u001b[39m=\u001b[39mpath, chunk_store\u001b[39m=\u001b[39mchunk_store, synchronizer\u001b[39m=\u001b[39msynchronizer,\n\u001b[1;32m 185\u001b[0m cache_metadata\u001b[39m=\u001b[39mcache_metadata, cache_attrs\u001b[39m=\u001b[39mcache_attrs, read_only\u001b[39m=\u001b[39mread_only,\n\u001b[1;32m 186\u001b[0m write_empty_chunks\u001b[39m=\u001b[39mwrite_empty_chunks, meta_array\u001b[39m=\u001b[39mmeta_array)\n", - "File \u001b[0;32m~/Developer/gribberish/python/examples/env/lib/python3.9/site-packages/zarr/storage.py:438\u001b[0m, in \u001b[0;36minit_array\u001b[0;34m(store, shape, chunks, dtype, compressor, fill_value, order, overwrite, path, chunk_store, filters, object_codec, dimension_separator, storage_transformers)\u001b[0m\n\u001b[1;32m 435\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m compressor:\n\u001b[1;32m 436\u001b[0m \u001b[39m# compatibility with legacy tests using compressor=[]\u001b[39;00m\n\u001b[1;32m 437\u001b[0m compressor \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m\n\u001b[0;32m--> 438\u001b[0m _init_array_metadata(store, shape\u001b[39m=\u001b[39;49mshape, chunks\u001b[39m=\u001b[39;49mchunks, dtype\u001b[39m=\u001b[39;49mdtype,\n\u001b[1;32m 439\u001b[0m compressor\u001b[39m=\u001b[39;49mcompressor, fill_value\u001b[39m=\u001b[39;49mfill_value,\n\u001b[1;32m 440\u001b[0m order\u001b[39m=\u001b[39;49morder, overwrite\u001b[39m=\u001b[39;49moverwrite, path\u001b[39m=\u001b[39;49mpath,\n\u001b[1;32m 441\u001b[0m chunk_store\u001b[39m=\u001b[39;49mchunk_store, filters\u001b[39m=\u001b[39;49mfilters,\n\u001b[1;32m 442\u001b[0m object_codec\u001b[39m=\u001b[39;49mobject_codec,\n\u001b[1;32m 443\u001b[0m dimension_separator\u001b[39m=\u001b[39;49mdimension_separator,\n\u001b[1;32m 444\u001b[0m storage_transformers\u001b[39m=\u001b[39;49mstorage_transformers)\n", - "File \u001b[0;32m~/Developer/gribberish/python/examples/env/lib/python3.9/site-packages/zarr/storage.py:559\u001b[0m, in \u001b[0;36m_init_array_metadata\u001b[0;34m(store, shape, chunks, dtype, compressor, fill_value, order, overwrite, path, chunk_store, filters, object_codec, dimension_separator, storage_transformers)\u001b[0m\n\u001b[1;32m 556\u001b[0m \u001b[39mif\u001b[39;00m object_codec \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[1;32m 557\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m filters:\n\u001b[1;32m 558\u001b[0m \u001b[39m# there are no filters so we can be sure there is no object codec\u001b[39;00m\n\u001b[0;32m--> 559\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mValueError\u001b[39;00m(\u001b[39m'\u001b[39m\u001b[39mmissing object_codec for object array\u001b[39m\u001b[39m'\u001b[39m)\n\u001b[1;32m 560\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[1;32m 561\u001b[0m \u001b[39m# one of the filters may be an object codec, issue a warning rather\u001b[39;00m\n\u001b[1;32m 562\u001b[0m \u001b[39m# than raise an error to maintain backwards-compatibility\u001b[39;00m\n\u001b[1;32m 563\u001b[0m warnings\u001b[39m.\u001b[39mwarn(\u001b[39m'\u001b[39m\u001b[39mmissing object_codec for object array; this will raise a \u001b[39m\u001b[39m'\u001b[39m\n\u001b[1;32m 564\u001b[0m \u001b[39m'\u001b[39m\u001b[39mValueError in version 3.0\u001b[39m\u001b[39m'\u001b[39m, \u001b[39mFutureWarning\u001b[39;00m)\n", - "\u001b[0;31mValueError\u001b[0m: missing object_codec for object array" + "Processing s3://noaa-gefs-pds/gefs.20230706/12/wave/gridded/gefs.wave.t12z.p01.global.0p25.f000.grib2...\n", + "[{'version': 1, 'refs': {'.zgroup': '{\"zarr_format\":2}', '.zattrs': '{\"meta\":\"Generated with gribberishpy\"}', 'wind/.zarray': '{\"chunks\":[1,721,1440],\"compressor\":null,\"dtype\":\"( let times = times .iter() - .map(|d| PyDateTime::from_timestamp(py, d.timestamp() as f64, None).unwrap()) + .map(|d| Datetime::::from(d.timestamp())) .collect::>(); + let times = PyArray1::from_slice(py, ×); time_dim_map[var].iter().for_each(|v: &String| { var_dims.get_mut(v).unwrap().push(name.clone()); From 4f60a437ef7b6b1d6246716f0402cca4173113e3 Mon Sep 17 00:00:00 2001 From: Matthew Iannucci Date: Thu, 6 Jul 2023 22:22:58 -0400 Subject: [PATCH 5/7] More forward progress --- python/gribberish/kerchunk/codec.py | 6 ++++-- python/gribberish/kerchunk/mapper.py | 6 ++---- python/src/dataset.rs | 2 +- python/src/message.rs | 13 ++++++++++--- 4 files changed, 17 insertions(+), 10 deletions(-) diff --git a/python/gribberish/kerchunk/codec.py b/python/gribberish/kerchunk/codec.py index f76af08..198697b 100644 --- a/python/gribberish/kerchunk/codec.py +++ b/python/gribberish/kerchunk/codec.py @@ -14,8 +14,10 @@ class GribberishCodec(numcodecs.abc.Codec): codec_id = "gribberish" - def __init__(self, var, dtype=None): + def __init__(self, var, shape, dtype=None): + print('CODEC') self.var = var + self.shape = shape self.dtype = dtype def encode(self, buf): @@ -23,7 +25,7 @@ def encode(self, buf): return buf def decode(self, buf, out=None): - data = parse_grib_data(buf, 0) + data = parse_grib_data(buf, 0, self.shape) if out is not None: return numcodecs.compat.ndarray_copy(data, out) else: diff --git a/python/gribberish/kerchunk/mapper.py b/python/gribberish/kerchunk/mapper.py index 4746638..ec85be1 100644 --- a/python/gribberish/kerchunk/mapper.py +++ b/python/gribberish/kerchunk/mapper.py @@ -5,7 +5,7 @@ from kerchunk.utils import class_factory, _encode_for_JSON from .codec import GribberishCodec -from ..gribberishpy import parse_grib_mapping, parse_grid_dataset +from ..gribberishpy import parse_grid_dataset def _split_file(f, skip=0): @@ -70,7 +70,7 @@ def _store_array_ref( shape=shape, chunks=shape, dtype=data_type, - filters=[GribberishCodec(var=var, dtype=str(data_type))], + filters=[GribberishCodec(var=var, dtype=str(data_type), shape=list(shape))], compressor=False, overwrite=True, ) @@ -106,8 +106,6 @@ def scan_gribberish( list(dict): references dicts in Version 1 format, one per message """ - import eccodes - storage_options = storage_options or {} out = [] diff --git a/python/src/dataset.rs b/python/src/dataset.rs index 0bda9fe..465887b 100644 --- a/python/src/dataset.rs +++ b/python/src/dataset.rs @@ -10,7 +10,7 @@ use numpy::{ }; use pyo3::{ prelude::*, - types::{PyDateTime, PyDict, PyList}, + types::{PyDict, PyList}, }; #[pyfunction] diff --git a/python/src/message.rs b/python/src/message.rs index a4c34ae..7c514af 100644 --- a/python/src/message.rs +++ b/python/src/message.rs @@ -4,6 +4,7 @@ use std::convert::TryFrom; use gribberish::data_message::DataMessage; use gribberish::message::{read_messages, Message}; use gribberish::message_metadata::{scan_message_metadata, MessageMetadata}; +use numpy::ndarray::{Dim, IxDynImpl}; use numpy::{PyArray, PyArray1}; use pyo3::exceptions::PyTypeError; use pyo3::prelude::*; @@ -161,10 +162,16 @@ impl GribMessage { } #[pyfunction] -pub fn parse_grib_data<'py>(py: Python<'py>, data: &[u8], offset: usize) -> &'py PyArray1 { +pub fn parse_grib_data<'py>(py: Python<'py>, data: &[u8], offset: usize, shape: Vec) -> &'py PyArray> { let message = Message::from_data(data, offset).unwrap(); - let data = message.data().unwrap(); - PyArray::from_slice(py, &data) + let mut data = message.data().unwrap(); + + // Every grib chunk is going to be assumed to be the size of one entire message spatially + let chunk_size = shape.iter().rev().take(2).product::(); + data.resize(chunk_size, 0.0); + + let v = PyArray::from_slice(py, &data); + v.reshape(shape).unwrap() } #[pyfunction] From 3929676bfe726597b184d92179dab5b4157ceb9b Mon Sep 17 00:00:00 2001 From: Matthew Iannucci Date: Fri, 7 Jul 2023 00:14:29 -0400 Subject: [PATCH 6/7] Fix kerchunk inlined fill values --- python/examples/kerchunk_gefs_wave.ipynb | 464 ++++++++++++++++++++++- python/examples/requirements.txt | 3 +- python/gribberish/kerchunk/codec.py | 1 - python/gribberish/kerchunk/mapper.py | 7 +- 4 files changed, 468 insertions(+), 7 deletions(-) diff --git a/python/examples/kerchunk_gefs_wave.ipynb b/python/examples/kerchunk_gefs_wave.ipynb index a85d01e..d0f25eb 100644 --- a/python/examples/kerchunk_gefs_wave.ipynb +++ b/python/examples/kerchunk_gefs_wave.ipynb @@ -112,9 +112,8 @@ "output_type": "stream", "text": [ "Processing s3://noaa-gefs-pds/gefs.20230706/12/wave/gridded/gefs.wave.t12z.p01.global.0p25.f000.grib2...\n", - "[{'version': 1, 'refs': {'.zgroup': '{\"zarr_format\":2}', '.zattrs': '{\"meta\":\"Generated with gribberishpy\"}', 'wind/.zarray': '{\"chunks\":[1,721,1440],\"compressor\":null,\"dtype\":\"\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
    <xarray.Dataset>\n",
    +       "Dimensions:    (latitude: 721, longitude: 1440, time: 1)\n",
    +       "Coordinates:\n",
    +       "  * latitude   (latitude) float64 90.0 89.75 89.5 89.25 ... -89.5 -89.75 -90.0\n",
    +       "  * longitude  (longitude) float64 0.0 0.25 0.5 0.75 ... 359.0 359.2 359.5 359.8\n",
    +       "  * time       (time) datetime64[s] 2023-07-06T12:00:00\n",
    +       "Data variables:\n",
    +       "    wind       (time, latitude, longitude) float64 ...\n",
    +       "Attributes:\n",
    +       "    meta:     Generated with gribberishpy
    " + ], + "text/plain": [ + "\n", + "Dimensions: (latitude: 721, longitude: 1440, time: 1)\n", + "Coordinates:\n", + " * latitude (latitude) float64 90.0 89.75 89.5 89.25 ... -89.5 -89.75 -90.0\n", + " * longitude (longitude) float64 0.0 0.25 0.5 0.75 ... 359.0 359.2 359.5 359.8\n", + " * time (time) datetime64[s] 2023-07-06T12:00:00\n", + "Data variables:\n", + " wind (time, latitude, longitude) float64 ...\n", + "Attributes:\n", + " meta: Generated with gribberishpy" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import xarray as xr\n", + "\n", + "# open dataset as zarr object using fsspec reference file system and xarray\n", + "fs = fsspec.filesystem(\"reference\", fo='./gefs_wave/20230706_gefs_wave_t12z_global_message0.json', remote_protocol='s3', remote_options={'anon':True, 'use_ssl': False})\n", + "m = fs.get_mapper(\"\")\n", + "ds = xr.open_dataset(m, engine=\"zarr\", backend_kwargs=dict(consolidated=False))\n", + "ds " + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
    " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ds.wind.plot()" + ] + }, { "cell_type": "code", "execution_count": null, diff --git a/python/examples/requirements.txt b/python/examples/requirements.txt index 48097e4..ad5c1b2 100644 --- a/python/examples/requirements.txt +++ b/python/examples/requirements.txt @@ -6,4 +6,5 @@ kerchunk zarr numcodecs fsspec -ujson \ No newline at end of file +ujson +dask \ No newline at end of file diff --git a/python/gribberish/kerchunk/codec.py b/python/gribberish/kerchunk/codec.py index 198697b..080ecfc 100644 --- a/python/gribberish/kerchunk/codec.py +++ b/python/gribberish/kerchunk/codec.py @@ -15,7 +15,6 @@ class GribberishCodec(numcodecs.abc.Codec): codec_id = "gribberish" def __init__(self, var, shape, dtype=None): - print('CODEC') self.var = var self.shape = shape self.dtype = dtype diff --git a/python/gribberish/kerchunk/mapper.py b/python/gribberish/kerchunk/mapper.py index ec85be1..f9f55ac 100644 --- a/python/gribberish/kerchunk/mapper.py +++ b/python/gribberish/kerchunk/mapper.py @@ -39,6 +39,7 @@ def _store_array_inline(store, z, data, var, attr): shape=shape, chunks=shape, dtype=data.dtype, + fill_value=None, compressor=False, ) if hasattr(data, "tobytes"): @@ -72,6 +73,7 @@ def _store_array_ref( dtype=data_type, filters=[GribberishCodec(var=var, dtype=str(data_type), shape=list(shape))], compressor=False, + fill_value=None, overwrite=True, ) store[f"{var}/" + ".".join(["0"] * len(shape))] = ["{{u}}", offset, size] @@ -138,14 +140,15 @@ def scan_gribberish( for coord_name, coord_data in dataset['coords'].items(): # TODO: Prob dont store inline for non regular grids + coord_array = np.array(coord_data['values']) _store_array_inline( store, z, - np.array(coord_data['values']), + coord_array, coord_name, coord_data['attrs'] ) - z[coord_name].attrs["_ARRAY_DIMENSIONS"] = dims + z[coord_name].attrs["_ARRAY_DIMENSIONS"] = coord_data['dims'] out.append( { From d7c60a04984a294869664a4c5fcb7808d815132b Mon Sep 17 00:00:00 2001 From: Matthew Iannucci Date: Fri, 7 Jul 2023 00:48:08 -0400 Subject: [PATCH 7/7] Working gfs ensemble generation --- python/examples/kerchunk_gefs_wave.ipynb | 647 ++++++++++++++++++++++- 1 file changed, 620 insertions(+), 27 deletions(-) diff --git a/python/examples/kerchunk_gefs_wave.ipynb b/python/examples/kerchunk_gefs_wave.ipynb index d0f25eb..760af94 100644 --- a/python/examples/kerchunk_gefs_wave.ipynb +++ b/python/examples/kerchunk_gefs_wave.ipynb @@ -14,11 +14,12 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ - "import fsspec" + "import fsspec\n", + "import xarray as xr" ] }, { @@ -31,7 +32,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -78,7 +79,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -90,12 +91,12 @@ "\n", "def make_json_name(file_url, message_number): #create a unique name for each reference file\n", " date = file_url.split('/')[3].split('.')[1]\n", - " name = file_url.split('/')[7].split('.')[0:5]\n", - " return f'{json_dir}{date}_{name[0]}_{name[1]}_{name[2]}_{name[4]}_message{message_number}.json'\n", + " name = file_url.split('/')[7].split('.')[0:7]\n", + " return f'{json_dir}{date}_{name[0]}_{name[1]}_{name[2]}_{name[4]}_{name[3]}_{name[6]}_message{message_number}.json'\n", "\n", "def gen_json(file_url):\n", " print(f'Processing {file_url}...')\n", - " out = scan_gribberish(file_url, storage_options=so) # create the reference using scan_grib\n", + " out = scan_gribberish(file_url, storage_options=so, only_vars=['htsgw']) # create the reference using scan_grib\n", " for i, message in enumerate(out): # scan_grib outputs a list containing one reference per grib message\n", " out_file_name = make_json_name(file_url, i) # get name\n", " with fs_write.open(out_file_name, \"w\") as f: \n", @@ -106,21 +107,45 @@ "cell_type": "code", "execution_count": 5, "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'gefs_wave/20230706_gefs_wave_t12z_global_p01_f000_message0.json'" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "make_json_name('s3://noaa-gefs-pds/gefs.20230706/12/wave/gridded/gefs.wave.t12z.p01.global.0p25.f000.grib', 0)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Processing s3://noaa-gefs-pds/gefs.20230706/12/wave/gridded/gefs.wave.t12z.p01.global.0p25.f000.grib2...\n", - "CPU times: user 295 ms, sys: 120 ms, total: 415 ms\n", - "Wall time: 1.34 s\n" + "Processing s3://noaa-gefs-pds/gefs.20230706/12/wave/gridded/gefs.wave.t12z.p01.global.0p25.f003.grib2...\n", + "Processing s3://noaa-gefs-pds/gefs.20230706/12/wave/gridded/gefs.wave.t12z.p01.global.0p25.f006.grib2...\n", + "Processing s3://noaa-gefs-pds/gefs.20230706/12/wave/gridded/gefs.wave.t12z.p01.global.0p25.f009.grib2...\n", + "Processing s3://noaa-gefs-pds/gefs.20230706/12/wave/gridded/gefs.wave.t12z.p01.global.0p25.f012.grib2...\n", + "CPU times: user 1.27 s, sys: 545 ms, total: 1.81 s\n", + "Wall time: 5.48 s\n" ] } ], "source": [ "%%time\n", "#this step is best run via a cluster\n", - "for f in files[0:1]:\n", + "for f in files[0:5]:\n", " gen_json(f)" ] }, @@ -134,7 +159,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -504,41 +529,41 @@ " fill: currentColor;\n", "}\n", "
    <xarray.Dataset>\n",
    -       "Dimensions:    (latitude: 721, longitude: 1440, time: 1)\n",
    +       "Dimensions:    (time: 1, latitude: 721, longitude: 1440)\n",
            "Coordinates:\n",
            "  * latitude   (latitude) float64 90.0 89.75 89.5 89.25 ... -89.5 -89.75 -90.0\n",
            "  * longitude  (longitude) float64 0.0 0.25 0.5 0.75 ... 359.0 359.2 359.5 359.8\n",
            "  * time       (time) datetime64[s] 2023-07-06T12:00:00\n",
            "Data variables:\n",
    -       "    wind       (time, latitude, longitude) float64 ...\n",
    +       "    htsgw      (time, latitude, longitude) float64 ...\n",
            "Attributes:\n",
    -       "    meta:     Generated with gribberishpy
  • meta :
    Generated with gribberishpy
  • " ], "text/plain": [ "\n", - "Dimensions: (latitude: 721, longitude: 1440, time: 1)\n", + "Dimensions: (time: 1, latitude: 721, longitude: 1440)\n", "Coordinates:\n", " * latitude (latitude) float64 90.0 89.75 89.5 89.25 ... -89.5 -89.75 -90.0\n", " * longitude (longitude) float64 0.0 0.25 0.5 0.75 ... 359.0 359.2 359.5 359.8\n", " * time (time) datetime64[s] 2023-07-06T12:00:00\n", "Data variables:\n", - " wind (time, latitude, longitude) float64 ...\n", + " htsgw (time, latitude, longitude) float64 ...\n", "Attributes:\n", " meta: Generated with gribberishpy" ] }, - "execution_count": 6, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -547,7 +572,7 @@ "import xarray as xr\n", "\n", "# open dataset as zarr object using fsspec reference file system and xarray\n", - "fs = fsspec.filesystem(\"reference\", fo='./gefs_wave/20230706_gefs_wave_t12z_global_message0.json', remote_protocol='s3', remote_options={'anon':True, 'use_ssl': False})\n", + "fs = fsspec.filesystem(\"reference\", fo='./gefs_wave/20230706_gefs_wave_t12z_global_p01_f000_message0.json', remote_protocol='s3', remote_options={'anon':True, 'use_ssl': False})\n", "m = fs.get_mapper(\"\")\n", "ds = xr.open_dataset(m, engine=\"zarr\", backend_kwargs=dict(consolidated=False))\n", "ds " @@ -561,7 +586,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 9, @@ -570,7 +595,7 @@ }, { "data": { - "image/png": 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", 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    " ] @@ -580,15 +605,583 @@ } ], "source": [ - "ds.wind.plot()" + "ds.htsgw.plot()" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can also create a single dataset from the collection of the kerchunked files " ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/matthewiannucci/Developer/gribberish/python/examples/env/lib/python3.9/site-packages/kerchunk/combine.py:269: UserWarning: Concatenated coordinate 'ens' contains less than expectednumber of values across the datasets: [1]\n", + " warnings.warn(\n" + ] + } + ], + "source": [ + "from kerchunk.combine import MultiZarrToZarr\n", + "import numpy as np\n", + "\n", + "reference_jsons = fs_write.ls(json_dir) #get list of file names\n", + "\n", + "def fn_to_ens(index, fs, var, fn):\n", + " import re\n", + " import datetime\n", + " groups = re.search(r\"\\_p(\\d{2})\", fn).groups()\n", + " return int(groups[0])\n", + "\n", + "# combine individual references into single consolidated reference\n", + "mzz = MultiZarrToZarr(reference_jsons,\n", + " coo_map={'ens': fn_to_ens},\n", + " coo_dtypes={'ens': np.dtype('int32')},\n", + " concat_dims = ['ens', 'time'],\n", + " identical_dims=['latitude', 'longitude'])\n", + "d = mzz.translate()\n", + "\n", + "with open('./gefs_wave/gefswave_kerchunk.json', 'w') as f:\n", + " f.write(ujson.dumps(d))" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
    \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
    <xarray.Dataset>\n",
    +       "Dimensions:    (ens: 1, time: 5, latitude: 721, longitude: 1440)\n",
    +       "Coordinates:\n",
    +       "  * ens        (ens) int32 1\n",
    +       "  * latitude   (latitude) float64 90.0 89.75 89.5 89.25 ... -89.5 -89.75 -90.0\n",
    +       "  * longitude  (longitude) float64 0.0 0.25 0.5 0.75 ... 359.0 359.2 359.5 359.8\n",
    +       "  * time       (time) datetime64[s] 2023-07-06T12:00:00 ... 2023-07-07\n",
    +       "Data variables:\n",
    +       "    htsgw      (ens, time, latitude, longitude) float64 dask.array<chunksize=(1, 1, 721, 1440), meta=np.ndarray>\n",
    +       "Attributes:\n",
    +       "    meta:     Generated with gribberishpy
    " + ], + "text/plain": [ + "\n", + "Dimensions: (ens: 1, time: 5, latitude: 721, longitude: 1440)\n", + "Coordinates:\n", + " * ens (ens) int32 1\n", + " * latitude (latitude) float64 90.0 89.75 89.5 89.25 ... -89.5 -89.75 -90.0\n", + " * longitude (longitude) float64 0.0 0.25 0.5 0.75 ... 359.0 359.2 359.5 359.8\n", + " * time (time) datetime64[s] 2023-07-06T12:00:00 ... 2023-07-07\n", + "Data variables:\n", + " htsgw (ens, time, latitude, longitude) float64 dask.array\n", + "Attributes:\n", + " meta: Generated with gribberishpy" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# open dataset as zarr object using fsspec reference file system and xarray\n", + "fs = fsspec.filesystem(\"reference\", fo='./gefs_wave/gefswave_kerchunk.json', remote_protocol='s3', remote_options={'anon':True, 'use_ssl': False})\n", + "m = fs.get_mapper(\"\")\n", + "ds = xr.open_dataset(m, engine=\"zarr\", backend_kwargs=dict(consolidated=False), \n", + " chunks={'time':1})\n", + "\n", + "ds " + ] } ], "metadata": {