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pdf_generator.py
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pdf_generator.py
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#############################################################################
#
# Version 0.2.62 - Author: Asaf Ravid <asaf.rvd@gmail.com>
#
# Stock Screener and Scanner - based on yfinance
# Copyright (C) 2021 Asaf Ravid
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
#
#############################################################################
#!/usr/bin/env python
# -*- coding: utf8 -*-
from fpdf import FPDF, HTMLMixin # pip install pyfpdf fpdf
# TODO: ASAFR: Increase the decimal points for light mode results!
import csv
import matplotlib.pyplot as plt; plt.rcdefaults()
import numpy as np
import os
def csv_to_pdf(csv_filename, output_path, data_time_str, title, limit_num_rows, diff_list_new, tase_mode, db_filename, append_to_pdf, output):
title_for_figures = data_time_str + ' ' + (title[::-1] if tase_mode else title) + ' ' + ']כתב ויתור: תוצאות הסריקה אינן המלצה בשום צורה, אלא אך ורק בסיס למחקר.['[::-1]
# Read CSV file:
csv_rows = []
with open(csv_filename, mode='r', newline='') as engine:
reader = csv.reader(engine, delimiter=',')
for row in reader:
csv_rows.append(row)
class MyFPDF(FPDF, HTMLMixin):
pass
if append_to_pdf != None: pdf = append_to_pdf
else: pdf = MyFPDF(format='letter')
pdf.add_page()
# Access DejaVuSansCondensed.ttf on the machine. This font supports practically all languages.
# Install it via https://fonts2u.com/dejavu-sans-condensed.font
pdf.add_font('DejaVu', '', 'DejaVuSansCondensed.ttf', uni=True)
pdf.set_font('DejaVu', '', 6)
# pdf.set_font("Arial", size=8, style='B')
pdf.set_text_color(0, 0, 200) # blue
pdf.cell(200, 3, txt=title_for_figures, ln=1, align="C") # http://fpdf.org/en/doc/cell.htm
names = []
appearances = []
diffs = []
for row_index, row in enumerate(csv_rows):
if row_index > limit_num_rows: break
if row_index > 0: # row 0 is title
names.append(row[1][0:28])
appearances.append(float(row[6]))
diffs.append(int(diff_list_new[row_index].replace('r+','').replace(' !','').replace(' ?','').replace('new+','').replace('new','0').replace('removed-','-').replace('removed','0')))
if row_index == 0:
if tase_mode: # overrwrite to hebrew
row = ['#', 'סימבול'[::-1], 'שם החברה'[::-1], 'ענף'[::-1], 'ערך'[::-1], 'סגירה'[::-1], 'מ"נ'[::-1], 'ציון'[::-1]]
else:
row = ['#', 'Symbol', 'Name', 'Sector', 'Value', 'Close', 'MA', 'Rank']
else:
row.insert(0, str(row_index))
for col_index, col in enumerate(row):
w_diff =0
if col_index == 0: w=5 # #
elif col_index == 1: w=16 # Symbol
elif col_index == 2: w=42 # Name
elif col_index == 3: w=33 # Sector
elif col_index == 4: w=40 # Value
elif col_index == 5: w=15 # Close
elif col_index == 6: w=5 # MA
elif col_index == 7:
w = 18 # Rank
w_diff = 5 # Diff
if col_index < len(row)-1:
pdf.set_text_color(0, 0, 200 if row_index == 0 else 0) # blue for title and black otherwise
pdf.cell(w=w, h=3, txt=col, border=1, ln=0, align="C" if row_index == 0 else "L")
else:
# last col is added with the diff col:
pdf.set_text_color(0, 0, 200 if row_index == 0 else 0) # blue for title and black otherwise
pdf.cell(w=w, h=3, txt=col.replace('appearance_counter','Rank'), border=1, ln=0, align="C" if row_index == 0 else "L")
if w_diff:
if diff_list_new is not None and row_index < len(diff_list_new):
if row_index == 0:
pdf.set_text_color(0, 0, 200 if row_index == 0 else 0) # blue for title and black otherwise
pdf.cell(w=w, h=3, txt='שינוי'[::-1] if tase_mode else 'Change', border=1, ln=1, align="C")
else:
if 'new' in str(diff_list_new[row_index]):
pdf.set_text_color(0,0,200) # blue
elif 'removed' in str(diff_list_new[row_index]):
pdf.set_text_color(200,0,0) # red
elif '-' in str(diff_list_new[row_index]):
pdf.set_text_color(150,0,0) # darker red
elif '+' in str(diff_list_new[row_index]):
pdf.set_text_color(0,200,0) # green
else:
pdf.set_text_color(0, 0, 0) # black
pdf.cell(w=w, h=3, txt=str(diff_list_new[row_index]), border=1, ln=1, align="L")
pdf.cell(200, 3, txt='', ln=1, align="L")
fig, ax = plt.subplots(figsize=(15, 10))
y_pos = np.arange(len(names))
width = 0.5
ax.barh(y_pos, appearances, width, color='blue', align='center', label='ציון'[::-1] if tase_mode else 'Rank')
ax.barh(y_pos+width, diffs, width, color='orange', align='center', label='שינוי'[::-1] if tase_mode else 'Change')
ax.set_yticks(y_pos)
ax.tick_params(axis='y', labelsize=8)
ax.set_yticklabels(names)
ax.invert_yaxis() # labels read top-to-bottom
ax.set_xlabel('ציון,שינוי'[::-1] if tase_mode else 'Rank,Change')
ax.set_title(title_for_figures, color='blue')
ax.legend()
plt.savefig(csv_filename+"_fig.png")
if tase_mode:
telegram_channel_description = 'ערוץ ערך מוסף'[::-1]
telegram_discussion_group_description = 'עדכונים, תמיכה טכנית ודיונים'[::-1]
open_source_description = 'קוד פתוח'[::-1]
the_engine_begind_description = 'מנוע הסריקה'[::-1]
lecture_description = 'הרצאות על הסורק'[::-1]
pdf.set_text_color(0, 0, 200) # blue
pdf.cell(30, 3, txt=telegram_channel_description, ln=0, align="C", border=1)
pdf.cell(39, 3, txt=telegram_discussion_group_description, ln=0, align="C", border=1)
pdf.cell(55, 3, txt=open_source_description, ln=0, align="C", border=1)
pdf.cell(40, 3, txt=the_engine_begind_description, ln=0, align="C", border=1)
pdf.cell(32, 3, txt=lecture_description, ln=1, align="C", border=1)
html_telegram_channel_description = "<A HREF=""https://t.me/investorsIL"">t.me/investorsIL</A><"
pdf.write_html(text=html_telegram_channel_description)
html_telegram_discussion_group_description = " | <A HREF=""http://t.me/StockScannerIL"">t.me/StockScannerIL</A>"
pdf.write_html(text=html_telegram_discussion_group_description)
html_open_source_description = " |<A HREF=""http://bit.ly/OpenSourceStockScanner"">bit.ly/OpenSourceStockScanner</A>"
pdf.write_html(text=html_open_source_description)
html_the_engine_begind_description = "|<A HREF=""http://bit.ly/SssCoreEquation"">bit.ly/SssCoreEquation</A>"
pdf.write_html(text=html_the_engine_begind_description)
html_lecture_description = "| <A HREF=""http://bit.ly/SssLecture"">Core</A> | <A HREF=""https://bit.ly/ZoomLectureMultiDimScan"">MultiDim</A>"
pdf.write_html(text=html_lecture_description)
pdf.cell(200, 3, txt='', ln=1, align="R")
html_telegram_channel_description = "<p><img src=""{}"" width=""600"" height=""250""></p>".format(csv_filename+"_fig.png")
pdf.write_html(text=html_telegram_channel_description)
else:
html="<p>Added-Value Channel in Telegram: <A HREF=""https://t.me/investorsIL"">https://t.me/investorsIL</A></p>" \
"<p>Updates, Discussions and Technical Support on Telegram: <A HREF=""https://t.me/StockScannerIL"">https://t.me/StockScannerIL</A></p>" \
"<p>This Scanner is Open Source. fork() here: <A HREF=""http://bit.ly/OpenSourceStockScanner"">http://bit.ly/OpenSourceStockScanner</A></p>" \
"<p>Lectures: <A HREF=""https://bit.ly/ZoomLectureMultiDimScan"">https://bit.ly/ZoomLectureMultiDimScan</A>, <A HREF=""http://bit.ly/SssLecture"">http://bit.ly/SssLecture</A></p>" \
"<p>One-Pagers: <A HREF=""http://bit.ly/SssCoreEquation"">http://bit.ly/SssCoreEquation</A>, <A HREF=""http://bit.ly/MultiDimensionalScan"">http://bit.ly/MultiDimensionalScan</A></p>" \
"<p>Disclaimer: Scan Results are not recommendations! They only provide a basis for Research and Analysis.</p>" \
"<p><img src=""{}"" width=""630"" height=""230""></p>".format(csv_filename+"_fig.png")
pdf.write_html(text=html)
output_filename = output_path+'/'+data_time_str+title.replace('detagergga','aggregated')+("_n" if "normalized" in db_filename else "")+'.pdf'
os.remove(csv_filename+"_fig.png")
if output: pdf.output(output_filename, 'F')
return pdf