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generatepdf.py
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generatepdf.py
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"""Functions to generate PDF file"""
from datetime import datetime
import os
from fpdf import FPDF, HTMLMixin
import matplotlib.dates as mdates
import matplotlib.pyplot as plt
from matplotlib.patches import Rectangle
# Dummy class needed to generate the PDF file
class MyFPDF(FPDF, HTMLMixin):
"""Dummy class"""
pass
def convert_figure_to_axis_info(figure):
"""For a given Graph Figure object, return
xaxis (a list of datetime.datetime objects),
yaxis (a list of source elevation), and
label (name of the source as a string)."""
time_axis = figure['x']
xaxis = []
for val in time_axis:
d = datetime.strptime(val, '%Y-%m-%dT%H:%M:%S')
xaxis.append(d)
yaxis = figure['y']
label = figure['name']
return xaxis, yaxis, label
def make_pdf_plot(elevation_fig, outfilename):
"""For a given elevation_fig object and output filename, generate a
matplotlib plot and write it to disk."""
fig, ax = plt.subplots(1, 1, figsize=(8, 5))
for figure in elevation_fig['data']:
xaxis, yaxis, label = convert_figure_to_axis_info(figure)
ax.plot(xaxis, yaxis, label=label)
hour_loc = (0, 3, 6, 9, 12, 15, 18, 21)
ax.xaxis.set_major_locator(mdates.HourLocator(hour_loc))
ax.xaxis.set_major_formatter(mdates.DateFormatter('%H:%M'))
plt.xlabel('Time (UTC)', fontsize=14)
plt.ylabel('Elevation (deg)', fontsize=14)
plt.title('Target visibility plot', fontsize=14)
# Highlight sunrise
sun_rise_dict = elevation_fig['layout']['shapes'][0]
temp_date = sun_rise_dict['x0'].split('.')[0]
x_min = datetime.strptime(temp_date, '%Y-%m-%dT%H:%M:%S')
temp_date = sun_rise_dict['x1'].split('.')[0]
x_max = datetime.strptime(temp_date, '%Y-%m-%dT%H:%M:%S')
y_min = sun_rise_dict['y0']
y_max = sun_rise_dict['y1']
rect = Rectangle((x_min, y_min), width=x_max-x_min, height=y_max, fill=True,
edgecolor=None, facecolor='lightskyblue')
ax.add_patch(rect)
# Highlight sunset
sun_set_dict = elevation_fig['layout']['shapes'][1]
temp_date = sun_set_dict['x0'].split('.')[0]
x_min = datetime.strptime(temp_date, '%Y-%m-%dT%H:%M:%S')
temp_date = sun_set_dict['x1'].split('.')[0]
x_max = datetime.strptime(temp_date, '%Y-%m-%dT%H:%M:%S')
y_min = sun_set_dict['y0']
y_max = sun_set_dict['y1']
rect = Rectangle((x_min, y_min), width=x_max-x_min, height=y_max, fill=True,
edgecolor=None, facecolor='lightskyblue')
ax.add_patch(rect)
plt.ylim([0, 90])
if len(elevation_fig['data']) > 1:
ax.legend(fontsize=14)
plt.tight_layout()
plt.savefig(outfilename, dpi=100)
def generate_pdf(pdf_file, obs_t, cal_t, n_cal, n_core, n_remote, n_int, n_chan, n_sb, integ_t,
antenna_set, coord, pipe_type, t_avg, f_avg, is_dysco, im_noise_val,
raw_size, proc_size, pipe_time, elevation_fig, distance_table,
obs_date, obs_mode, tab_mode, stokes):
"""Function to generate a pdf file summarizing the content of the calculator.
Return nothing."""
# Create an A4 sheet
pdf = MyFPDF('P', 'mm', 'A4')
pdf.add_page()
pdf.set_font('Arial', '', 16)
if coord is not '':
coord_list = coord.split(',')
coord_input_list = coord.split(',')
n_sap=len(coord_list)
else:
n_sap=None
# Generate an html string to be written to the file
string = '<table border="0" align="left" width="80%">'
string += '<thead><tr><th width="70%" align="left">Parameter</th>'
string += '<th width="30%" align="left">Value</th></tr></thead>'
string += '<tbody>'
if obs_mode == 'Interferometric':
string += '<tr><td>Observation mode</td>'
string += ' <td>Interferometric</td></tr>'
else:
string += '<tr><td>Observation mode</td>'
string += ' <td>Beamformed</td></tr>'
string += '<tr><td>Tied array mode</td>'
string += ' <td>{}</td></tr>'.format(tab_mode)
string += '<tr><td>Stokes products to record</td>'
string += ' <td>{}</td></tr>'.format(stokes)
string += '<tr></tr>'
string += '<tr><td>Observation time (in seconds)</td>'
string += ' <td>{}</td></tr>'.format(obs_t)
string += '<tr><td>Calibrator duration (in seconds)</td>'
string += ' <td>{}</td></tr>'.format(cal_t)
string += '<tr><td>Number of calibrators</td>'
string += ' <td>{}</td></tr>'.format(n_cal)
if n_sap:
string += '<tr><td>Number of simultaneous targets</td>'
string += ' <td>{}</td></tr>'.format(n_sap)
string += '<tr><td>No. of stations</td>'
if obs_mode == 'Beamformed' and tab_mode == 'Coherent':
string += ' <td>({}, {}, {})</td></tr>'.format(n_core, 0, 0)
else:
string += ' <td>({}, {}, {})</td></tr>'.format(n_core, n_remote, n_int)
string += '<tr><td>No. of subbands</td>'
string += ' <td>{}</td></tr>'.format(n_sb)
string += '<tr><td>No. of channels per subband</td>'
string += ' <td>{}</td></tr>'.format(n_chan)
string += '<tr><td>Integration time (in seconds)</td>'
string += ' <td>{}</td></tr>'.format(integ_t)
string += '<tr><td>Antenna set</td>'
string += ' <td>{}</td></tr>'.format(antenna_set)
string += '<tr></tr>'
if elevation_fig != {}:
# User has specified at least one source in the target setup
# Display the observation date in the table
string += '<tr><td>Observation date</td>'
string += ' <td>{}</td></tr>'.format(obs_date)
string += '<tr></tr>'
string += '<tr><td>Pipeline type</td>'
if pipe_type == 'none':
string += ' <td>{}</td></tr>'.format('None')
else:
string += ' <td>{}</td></tr>'.format('Preprocessing')
string += '<tr><td>Averaging factor (time, freq)</td>'
string += ' <td>{}, {}</td></tr>'.format(t_avg, f_avg)
string += '<tr><td>Dysco compression</td>'
if is_dysco == 'enable':
string += ' <td>{}</td></tr>'.format('enabled')
else:
string += ' <td>{}</td></tr>'.format('disabled')
if obs_mode == 'Interferometric':
string += '<tr></tr>'
string += '<tr><td>Theoretical image sensitivity (uJy/beam)</td>'
string += ' <td>{}</td></tr>'.format(im_noise_val)
string += '<tr><td>Raw data size (in GB)</td>'
string += ' <td>{}</td></tr>'.format(raw_size)
if pipe_type != 'none':
string += '<tr><td>Processed data size (in GB)</td>'
string += ' <td>{}</td></tr>'.format(proc_size)
string += '<tr><td>Pipeline processing time (in hours)</td>'
string += ' <td>{}</td></tr>'.format(pipe_time)
string += '</tbody>'
string += '</table>'
# Generate a matplotlib plot showing the same plot as in the target
# visibility plot
if elevation_fig != {}:
# User has specified at least one source in the target setup
png_file_name = pdf_file.replace('summary', 'plot').replace('pdf', 'png')
make_pdf_plot(elevation_fig, png_file_name)
# Add the elevation plot to html
string += '<center>'
string += '<img src={} width=400 height=250>'.format(png_file_name)
string += '</center>'
# Add the distance table to the PDF
if distance_table != {}:
title = distance_table['layout']['title']
string += '<center><b>{}</b></center>'.format(title)
string += '<table border="0" align="left" width="80%">'
col_titles = distance_table['data'][0]['header']['values']
col_width = 100//len(col_titles)
string += '<thead><tr>'
for item in col_titles:
string += '<th width="{}%" align="left">'.format(col_width) + \
item + '</th>'
string += '</tr></thead>'
string += '<tbody>'
tab_data = distance_table['data'][0]['cells']['values']
# Transpose tab_data and write cells to the table
tab_data = list(map(list, zip(*tab_data)))
for row in tab_data:
string += '<tr>'
for item in row:
string += '<td>{}</td>'.format(item)
string += '</tr>'
string += '</tbody>'
string += '</table>'
# Write text to the pdf file
pdf.write_html(string)
# Write the pdf to disk
pdf.output(pdf_file)
# Remove the temporary PNG file from disk
if elevation_fig != {}:
os.remove(png_file_name)