wip report-and-generate
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Motiejus Jakštys
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1344683602
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28
IV/extract-and-generate
Executable file
28
IV/extract-and-generate
Executable file
@ -0,0 +1,28 @@
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#!/bin/bash
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set -euo pipefail
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fail() {
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>&2 echo "$1"
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exit 1
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}
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dir=$(mktemp -d)
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echo "Extracting all files from the report ..."
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pdfdetach -saveall -o "$dir" mj-msc-all.pdf
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echo "Re-generating the report..."
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fail=0
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make -C "$dir" -j $(nproc) mj-msc-all.pdf 2>&1 > make.log || fail=1
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if [[ $fail == 1 ]]; then
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>&2 echo "Generation failed. Here are the last 10 log lines:"
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tail -10 "$dir/make.log"
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exit 1
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fi
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open=open
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if [[ $(uname) == Linux ]]
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open=xdg-open
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fi
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"$open" "$dir/mj-msc-all.pdf"
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@ -1,85 +0,0 @@
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#!/usr/bin/python3
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import argparse
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import geopandas
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import psycopg2
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import matplotlib.pyplot as plt
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from matplotlib import rc, patches
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INCH = 25.4 # mm
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BOUNDS = ('xmin', 'ymin', 'xmax', 'ymax')
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GREEN, ORANGE, PURPLE = '#1b9e77', '#d95f02', '#7570b3'
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def plt_size(string):
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if not string:
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return None
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try:
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w, h = string.split("x")
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return float(w) / INCH, float(h) / INCH
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except Exception as e:
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raise argparse.ArgumentTypeError from e
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def parse_args():
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parser = argparse.ArgumentParser(
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description='Convert geopackage to an image')
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group1 = parser.add_mutually_exclusive_group()
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group1.add_argument('--group1-infile')
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group1.add_argument('--group1-table')
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parser.add_argument('-o', '--outfile', metavar='<file>')
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parser.add_argument(
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'--size', type=plt_size, help='Figure size in mm (WWxHH)')
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parser.add_argument( '--clip', type=float, nargs=4, metavar=BOUNDS)
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group2 = parser.add_mutually_exclusive_group()
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group2.add_argument('--group2-infile', type=str)
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group2.add_argument('--group2-table', type=str)
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group3 = parser.add_mutually_exclusive_group()
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group3.add_argument('--group3-infile', type=str)
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group3.add_argument('--group3-table', type=str)
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return parser.parse_args()
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def read_layer(maybe_table, maybe_file):
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if maybe_table:
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conn = psycopg2.connect("host=127.0.0.1 dbname=osm user=osm")
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sql = "SELECT geom FROM %s" % maybe_table
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return geopandas.read_postgis(sql, con=conn, geom_col='geom')
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elif maybe_file:
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return geopandas.read_file(maybe_file)
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def main():
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args = parse_args()
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group1 = read_layer(args.group1_table, args.group1_infile)
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group2 = read_layer(args.group2_table, args.group2_infile)
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group3 = read_layer(args.group3_table, args.group3_infile)
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rc('text', usetex=True)
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fig, ax = plt.subplots()
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if args.size:
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fig.set_size_inches(args.size)
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if c := args.clip:
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ax.set_xlim(left=c[0], right=c[2])
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ax.set_ylim(bottom=c[1], top=c[3])
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if group1 is not None:
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group1.plot(ax=ax, color=PURPLE)
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if group2 is not None:
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group2.plot(ax=ax, color=ORANGE)
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if group3 is not None:
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group3.plot(ax=ax, color=GREEN)
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ax.axis('off')
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ax.margins(0, 0)
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fig.tight_layout(0)
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if args.outfile:
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fig.savefig(args.outfile, bbox_inches=0, dpi=600)
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else:
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plt.show()
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if __name__ == '__main__':
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main()
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@ -128,36 +128,16 @@ ChaikinSmoothing}.
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\begin{appendices}
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\section{Žeimena and Lakaja in context}
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\section{Code listings}
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For the curious users it may be useful to see how the analysis was executed.
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Also, given the source listings, it should be relatively straightforward to
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re-run the same analysis on a different area.
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We strongly believe that ability to reproduce the graphs here is critical for
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the longevity of the work. Therefore we have added all the source files of
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this report to the PDF document itself. To extract the files (and, if
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desired, re-generate the report), run this simple script:
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The analysis was executed and report was generated on Ubuntu 20.04 with only
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system packages. This should be sufficient: {\tt postgis gdal-bin biber
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latexmk texlive-bibtex-extra python3-geopandas python3-pygments}.
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\inputminted[fontsize=\small]{bash}{extract-and-generate}
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\subsection{Makefile}
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This file binds all the pieces together:
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\begin{itemize}
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\item Prepares the PostGIS database.
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\item Generates helper figures (sine waves, squares).
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\item Runs analysis on input files ({\DP}, {\VW}, Chaikin).
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\item Invokes {\tt latexmk} as a final report generation step.
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\end{itemize}
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\inputminted[fontsize=\small]{make}{Makefile}
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\subsection{layer2img.py}
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This file accepts a layer (or two) and generates a PDF image suitable for embedding into the report.
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\inputminted[fontsize=\small]{python}{layer2img.py}
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\subsection{db}
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Manages a PostGIS database in the Docker container. That way, the database can
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be torn down and re-created by automated tools like the {\tt Makefile} itself.
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\inputminted[fontsize=\small]{bash}{db}
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A working Docker installation, LaTeX environment
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\end{appendices}
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\end{document}
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