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radio_save_spec_fits.grc
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radio_save_spec_fits.grc
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options:
parameters:
author: ''
category: '[GRC Hier Blocks]'
cmake_opt: ''
comment: ''
copyright: ''
description: ''
gen_cmake: 'On'
gen_linking: dynamic
generate_options: no_gui
hier_block_src_path: '.:'
id: radio_save_spec_fits
max_nouts: '0'
output_language: python
placement: (0,0)
qt_qss_theme: ''
realtime_scheduling: ''
run: 'True'
run_command: '{python} -u {filename}'
run_options: run
sizing_mode: fixed
thread_safe_setters: ''
title: radio_save_spec_fits
window_size: ''
states:
bus_sink: false
bus_source: false
bus_structure: null
coordinate: [8, 8]
rotation: 0
state: enabled
blocks:
- name: directory_name
id: parameter
parameters:
alias: ''
comment: ''
hide: none
label: directory_name
short_id: ''
type: str
value: '"."'
states:
bus_sink: false
bus_source: false
bus_structure: null
coordinate: [123, 106]
rotation: 0
state: true
- name: file_name
id: parameter
parameters:
alias: ''
comment: ''
hide: none
label: file_name
short_id: ''
type: str
value: '"test.fits"'
states:
bus_sink: false
bus_source: false
bus_structure: null
coordinate: [116, 203]
rotation: 0
state: true
- name: num_bins
id: parameter
parameters:
alias: ''
comment: ''
hide: none
label: num_bins
short_id: ''
type: intx
value: '4096'
states:
bus_sink: false
bus_source: false
bus_structure: null
coordinate: [9, 204]
rotation: 0
state: true
- name: samp_rate
id: parameter
parameters:
alias: ''
comment: ''
hide: none
label: samp_rate
short_id: ''
type: intx
value: '2400000'
states:
bus_sink: false
bus_source: false
bus_structure: null
coordinate: [10, 107]
rotation: 0
state: true
- name: save_fits_file
id: epy_block
parameters:
_source_code: "\"\"\"\nEmbedded Python Blocks:\n\nEach time this file is saved,\
\ GRC will instantiate the first class it finds\nto get ports and parameters\
\ of your block. The arguments to __init__ will\nbe the parameters. All of\
\ them are required to have default values!\n\"\"\"\n\nimport numpy as np\n\
from gnuradio import gr\nimport pmt\nimport json\n\nimport pathlib\nfrom datetime\
\ import datetime, timezone\nfrom astropy.io import fits\n\n\nclass blk(gr.sync_block):\n\
\ \"\"\"Embedded Python Block - Saving \"\"\"\n\n def __init__(\n \
\ self, directory=\".\", filename=\"test.fits\", vec_length=4096\n ):\
\ # only default arguments here\n \"\"\"arguments to this function show\
\ up as parameters in GRC\"\"\"\n gr.sync_block.__init__(\n \
\ self,\n name=\"Embedded Python Block\", # will show up in GRC\n\
\ in_sig=[(np.float32, vec_length)],\n out_sig=None,\n\
\ )\n # if an attribute with the same name as a parameter is found,\n\
\ # a callback is registered (properties work, too).\n self.directory\
\ = directory\n self.filename = filename\n self.vec_length = vec_length\n\
\n def work(self, input_items, output_items):\n \"\"\"Saving Spectrum\
\ Data to a FITS File\"\"\"\n file_path = pathlib.Path(self.directory,\
\ self.filename)\n for i, input_array in enumerate(input_items[0]):\n\
\ file = open(file_path, \"ab+\")\n tags = self.get_tags_in_window(0,\
\ 0, len(input_items[0]))\n tags_dict = {\n pmt.to_python(tag.key):\
\ pmt.to_python(tag.value) for tag in tags\n }\n time_since_epoch\
\ = tags_dict[\"rx_time\"][0] + tags_dict[\"rx_time\"][1]\n date\
\ = datetime.fromtimestamp(time_since_epoch, timezone.utc)\n metadata\
\ = tags_dict[\"metadata\"]\n samp_rate = metadata[\"samp_rate\"\
]\n num_integrations = metadata[\"num_integrations\"]\n \
\ freq = metadata[\"freq\"]\n num_bins = metadata[\"num_bins\"\
]\n soutrack = metadata[\"soutrack\"]\n\n hdr = fits.Header()\n\
\ hdr[\"BUNIT\"] = \"K\"\n hdr[\"CTYPE1\"] = \"Freq\"\n\
\ hdr[\"CRPIX1\"] = num_bins / float(2) # Reference pixel (center)\n\
\ hdr[\"CRVAL1\"] = freq # Center, USRP, frequency\n \
\ hdr[\"CDELT1\"] = samp_rate / (1 * num_bins) # Channel width\n \
\ hdr[\"CUNIT1\"] = \"Hz\"\n\n hdr[\"TELESCOP\"] = \"SmallRadioTelescope\"\
\n hdr[\"OBJECT\"] = soutrack\n hdr[\"OBSTIME\"] = (num_bins\
\ * num_integrations) / samp_rate\n\n hdr[\"DATE-OBS\"] = date.strftime(\"\
%Y-%m-%d\")\n hdr[\"UTC\"] = date.strftime(\"%H:%M:00%s\")\n \
\ hdr[\"METADATA\"] = json.dumps(metadata)\n\n fits.append(file,\
\ input_array, hdr)\n file.close()\n # p = np.sum(input_array)\n\
\ # a = len(input_array)\n # pwr = (tsys + tcal) * p /\
\ (a * calpwr)\n # ppwr = pwr - tsys\n return len(input_items[0])\n"
affinity: ''
alias: ''
comment: ''
directory: directory_name
filename: file_name
maxoutbuf: '0'
minoutbuf: '0'
vec_length: num_bins
states:
_io_cache: ('Embedded Python Block', 'blk', [('directory', "'.'"), ('filename',
"'test.fits'"), ('vec_length', '4096')], [('0', 'float', 4096)], [], 'Embedded
Python Block - Saving ', ['directory', 'filename', 'vec_length'])
bus_sink: false
bus_source: false
bus_structure: null
coordinate: [636, 127]
rotation: 0
state: true
- name: zeromq_sub_source_0
id: zeromq_sub_source
parameters:
address: tcp://127.0.0.1:5562
affinity: ''
alias: ''
comment: ''
hwm: '-1'
maxoutbuf: '0'
minoutbuf: '0'
pass_tags: 'True'
timeout: '100'
type: float
vlen: num_bins
states:
bus_sink: false
bus_source: false
bus_structure: null
coordinate: [328, 119]
rotation: 0
state: true
connections:
- [zeromq_sub_source_0, '0', save_fits_file, '0']
metadata:
file_format: 1