pyfdb

This repository contains the source code and documentation of pyfdb, a python FDB client which interfaces the FDB5 library in the system.

⚠️ This project is BETA and will be experimental for the forseable future. Interfaces and functionality are likely to change, and the project itself may be scrapped. DO NOT use this software in any project/software that is operational.

 

1. Installation

Install pyfdb with python3 (>= 3.6) and pip as follows:

python3 -m pip install --upgrade git+https://github.com/ecmwf/pyfdb.git@master

Or from PyPi (not yet available):

python3 -m pip install pyfdb

Or with the Conda package manager:

conda create -n client python=3.7
conda activate client
python -m pip install --upgrade git+https://github.com/ecmwf/pyfdb.git@master

 

2. Example

An example of archival, listing and retrieval via pyfdb is shown next. For the example to work, FDB5 must be installed in the system, as well as the shutil, pyeccodes and pyfdb python packages. The GRIB files involved can be found under the tests/unit/ folder in the pyfdb Git repository (https://github.com/ecmwf/pyfdb).

Initialising FDB

import pyfdb
import shutil

fdb = pyfdb.FDB()

Archive

key = {
    'domain': 'g',
    'stream': 'oper',
    'levtype': 'pl',
    'levelist': '300',
    'date': '20191110',
    'time': '0000',
    'step': '0',
    'param': '138',
    'class': 'rd',
    'type': 'an',
    'expver': 'xxxx'
}

filename = 'x138-300.grib'
fdb.archive(open(filename, "rb").read(), key)

key['levelist'] = '400'
filename = 'x138-400.grib'
fdb.archive(open(filename, "rb").read())

key['expver'] = 'xxxy'
filename = 'y138-400.grib'
fdb.archive(open(filename, "rb").read())
fdb.flush()

List

direct function, request as dictionary

request = {
    'class': 'rd',
    'expver': 'xxxx',
    'stream': 'oper',
    'date': '20191110',
    'time': '0000',
    'domain': 'g',
    'type': 'an',
    'levtype': 'pl',
    'step': 0,
    'levelist': [300, '500'],
    'param': ['138', 155, 't']
}

for el in pyfdb.list(request, True, True):
    print(el['keys'])
# {'class': 'rd', 'date': '20191110', 'domain': 'g', 'expver': 'xxxx', 'stream': 'oper', 'time': '0000', 'levtype': 'pl', 'type': 'an', 'levelist': '300', 'param': '138', 'step': '0'}

direct function, updated dictionary

request['levelist'] = ['100', '200', '300', '400', '500', '700', '850', '1000']
request['param'] = '138'

for el in pyfdb.list(request, True, True):
    print(el['keys'])
# {'class': 'rd', 'date': '20191110', 'domain': 'g', 'expver': 'xxxx', 'stream': 'oper', 'time': '0000', 'levtype': 'pl', 'type': 'an', 'levelist': '300', 'param': '138', 'step': '0'}
# {'class': 'rd', 'date': '20191110', 'domain': 'g', 'expver': 'xxxx', 'stream': 'oper', 'time': '0000', 'levtype': 'pl', 'type': 'an', 'levelist': '400', 'param': '138', 'step': '0'}

fdb object, request as dicitonary

As an alternative, use the created FDB instance and start queries from there

request['levelist'] = ['400', '500', '700', '850', '1000']
for el in fdb.list(request, True, True):
    print(el)
# {'class': 'rd', 'date': '20191110', 'domain': 'g', 'expver': 'xxxx', 'stream': 'oper', 'time': '0000', 'levtype': 'pl', 'type': 'an', 'levelist': '400', 'param': '138', 'step': '0'}

Retrieve

save to file

import tempfile
import os

dir = tempfile.gettempdir()

request = {
    'domain': 'g',
    'stream': 'oper',
    'levtype': 'pl',
    'step': '0',
    'expver': 'xxxx',
    'date': '20191110',
    'class': 'rd',
    'levelist': '300',
    'param': '138',
    'time': '0000',
    'type': 'an'
}

filename = os.path.join(dir, 'x138-300bis.grib')
with open(filename, 'wb') as o, fdb.retrieve(request) as i:
    shutil.copyfileobj(i, o)

request['levelist'] = '400'
filename = os.path.join(dir, 'x138-400bis.grib')
with open(filename, 'wb') as o, fdb.retrieve(request) as i:
    shutil.copyfileobj(i, o)

request['expver'] = 'xxxy'
filename = os.path.join(dir, 'y138-400bis.grib')
with open(filename, 'wb') as o, pyfdb.retrieve(request) as i:
    shutil.copyfileobj(i, o)

read into python object

datareader = pyfdb.retrieve(request)

# reading a small chunk
chunk = datareader.read(10)

print(chunk)
# bytearray(b'GRIB2\x0e\x0e\x01\x00\x00')

print('tell()', datareader.tell())
# tell() 10

# go back (partially) - seek(2)
datareader.seek(2)
print('tell()', datareader.tell())
# tell() 2

# reading a larger chunk
chunk = datareader.read(40)
print(chunk)
# bytearray(b'IB2\x0e\x0e\x01\x00\x004\x80b\x96\xff\x80\x8ad\x01\x90\x13\x0b\n\x00\x00\x01\x00\x00\x00\x00\x00\x00\x15\x00\x00\x00\x00\x00\x00\x00\x00\x00')

# go back - seek(0)
datareader.seek(0)

decode GRIB

from pyeccodes import Reader
reader = Reader(datareader)
grib = next(reader)
grib.dump()
# [...redacted...]