Direct I/O

The spectral-data-converter library is mainly designed to be used as a command-line pipeline for working with files. However, you can also use any of the readers/writers that implement the seppl.io.DirectReader / seppl.io.DirectWriter mixins. By being able to handle file-like objects, you can move away from just using files via paths.

Though the examples below are still using files for reading/writing, the concept is the same if you want to access other types of data.

Spectra

The following code snippet reads an SPA file and writes the spectra in ADAMS format to another directory:

from sdc.reader import SPAReader as Reader
from sdc.writer import AdamsWriter as Writer
from seppl import Session

r = Reader(direct_read=True)
r.initialize()
r.session = Session()
w = Writer(output_sampledata=True)
w.initialize()
w.session = r.session

f_in = "./input/cylohex.spa"
with open(f_in, "rb") as fp:
    sps = [x for x in r.read_fp(fp)]

f_out = "./output/"
for i, sp in enumerate(sps):
    with open(f_out + str(i) + ".spec", "w") as fp:
        w.write_stream_fp(sp, fp, False)

Sample data

The following code snippet reads sample data records from a CSV file and writes them in JSON format to another directory:

from sdc.reader import CSVSampleDataReader as Reader
from sdc.writer import JsonSampleDataWriter as Writer
from seppl import Session

r = Reader(direct_read=True, sample_id="1", sample_data="2-last")
r.initialize()
r.session = Session()
w = Writer()
w.initialize()
w.session = r.session

f_in = "./input/sampledata.csv"
with open(f_in, "r") as fp:
    sds = [x for x in r.read_fp(fp)]

f_out = "./output/"
for i, sd in enumerate(sds):
    with open(f_out + str(i) + ".json", "w") as fp:
        w.write_stream_fp(sd, fp, False)