def gen(self,
n_nums,
n_digits,
var_digits,
n_ex,
n_cols,
n_answ_cols=7,
out_file=None):
print('generating.... ', n_ex, ',', n_nums, ',', n_digits, ',',
var_digits, ',', n_cols)
ttl = self.tst_nm + ' - ' + str(n_nums) + (
' up to' if var_digits > 0 else
'') + ' numbers, ' + str(n_digits) + ' digits'
pdf_base.start(self, ttl, [12, 14])
self.init()
nme = self.f_nm + '_digits_' + str(n_nums) + '_' + str(
n_digits) + '_' + str(var_digits)
q_out_file = self.out_dir + '/' + nme + '_Q'
a_out_file = self.out_dir + '/' + nme + '_A'
if out_file != None:
q_out_file = out_file + '_Q'
a_out_file = out_file + '_A'
# round number of problems to fill all columns on the question sheet
n_probs = int(n_ex / n_cols + 1) * n_cols
questions_and_answers = [
self.gen_smpl(n, n_digits, n_nums, var_digits)
for n in range(n_probs)
]
questions = list(map(lambda x: x[0], questions_and_answers))
answers = list(map(lambda x: x[1], questions_and_answers))
with self.q_doc.create(LongTabu("X[l] " * n_cols,
row_height=2.0)) as q_tbl:
for row in range(ceil(n_probs / n_cols)):
q_row = questions[row * n_cols:(row + 1) * n_cols]
if row % 2 == 0:
q_tbl.add_row(q_row, color="cream")
else:
q_tbl.add_row(q_row)
with self.a_doc.create(LongTabu("X[l] " * n_answ_cols,
row_height=2.0)) as a_tbl:
for row in range(ceil(n_probs / n_answ_cols)):
a_row = answers[row * n_answ_cols:(row + 1) * n_answ_cols]
# top up missing cells with empty string
for i in range(0, n_answ_cols - len(a_row)):
a_row.append("")
if row % 2 == 0:
a_tbl.add_row(a_row, color="cream")
else:
a_tbl.add_row(a_row)
self.q_doc.generate_pdf(q_out_file, clean_tex=True)
self.a_doc.generate_pdf(a_out_file, clean_tex=True)
def quadro_planejamento(self, planejamento_acoes):
with self.create(
LongTabu("|X[1,l]|X[3,l]|X[6,l]|")) as tabela_planejamento:
tabela_planejamento.add_hline()
tabela_planejamento.add_row(
(MultiColumn(3, align='|c|',
data=bold('Cronograma de Ações')), ))
tabela_planejamento.add_hline()
tabela_planejamento.add_row(
(bold('Prazo'), bold('Ação'), bold('Prioridade')))
tabela_planejamento.add_hline()
tabela_planejamento.end_table_header()
tabela_planejamento.add_hline()
tabela_planejamento.add_row(
(MultiColumn(3, align='|r|',
data='Continua na próxima página'), ))
tabela_planejamento.add_hline()
tabela_planejamento.end_table_footer()
tabela_planejamento.end_table_last_footer()
for acao in planejamento_acoes:
metas = acao['metas']
if not len(metas):
continue
col_meta = MultiRow(len(metas),
data=acao['prazo'].capitalize())
row = [col_meta, acao['acao'], '1. ' + metas[0]]
tabela_planejamento.add_row(row)
for meta in metas[1:]:
tabela_planejamento.add_row(
('', '', (str(metas.index(meta) + 1) + '. ' + meta)))
tabela_planejamento.add_hline()
def generate_info_table(doc):
"""
Generate a table which contains last 2 line of tests from log.txt
:param doc: LaTeX object, a instance of Document Class
:return: null
"""
## Create a long table object in LaTeX object
with doc.create(LongTabu("X[l] X[r]")) as info_table:
header_row1 = ["Test Number", "Info"]
info_table.add_row(header_row1, mapper=[bold])
info_table.add_hline()
info_table.add_empty_row()
info_table.end_table_header()
## Add last 2 lines
for i in range(3):
row_1 = [str(i + 1), get_log(i + 1)[0]]
row_2 = [" ", get_log(i + 1)[1]]
info_table.add_row(row_1)
info_table.add_empty_row()
info_table.add_row(row_2)
info_table.add_hline()
info_table.add_empty_row()
def quadro_epis(self, fichas_exposicao):
with self.create(LongTabu("|X[l]|X[l]|")) as tabela_epi:
tabela_epi.add_hline()
tabela_epi.add_row(
(MultiColumn(2,
align='|c|',
data=bold('Quadro Demonstrativo de EPIs')), ))
tabela_epi.add_hline()
tabela_epi.add_row((bold('Função'), bold('EPIs Indicados')))
tabela_epi.add_hline()
tabela_epi.end_table_header()
tabela_epi.add_row(
(MultiColumn(2, align='|c|',
data='Continua na próxima página'), ))
tabela_epi.add_hline()
tabela_epi.end_table_footer()
tabela_epi.end_table_last_footer()
for ficha in fichas_exposicao:
epis = ficha['epis']
if not len(epis):
continue
col_cargo = MultiRow(len(epis), data=ficha['cargo'])
row = [col_cargo, epis[0]]
tabela_epi.add_row(row)
for epi in epis[1:]:
tabela_epi.add_row(('', epi))
tabela_epi.add_hline()
def create_pdf_document(rows):
geometry_options = {
"head": "30pt",
"bottom": "0.5in",
"margin": "0.6in",
"includeheadfoot": True
}
doc = Document(geometry_options=geometry_options)
with doc.create(LongTabu("X[l] X[2l] X[r] X[r]",
row_height=1.5)) as my_table:
my_table.add_row(["Full name", "Email", "Contact", "Address"], \
mapper=bold, color="pink"
)
my_table.add_empty_row()
my_table.add_hline()
for index, row in enumerate(rows):
data_list = [row[1], row[2], row[3], row[4]]
if (index % 2 == 0):
my_table.add_row(data_list, color="gray")
else:
my_table.add_row(data_list, color="lightgray")
doc.generate_pdf("users-details", clean_tex=False)
def genenerate_longtabu():
geometry_options = {
"landscape": True,
"margin": "0.5in",
"headheight": "20pt",
"headsep": "10pt",
"includeheadfoot": True
}
doc = Document(page_numbers=True, geometry_options=geometry_options)
# Generate data table
with doc.create(LongTabu("X[r] X[r] X[r] X[r] X[r] X[r]")) as data_table:
header_row1 = ["Prov", "Num", "CurBal", "IntPay", "Total", "IntR"]
data_table.add_row(header_row1, mapper=[bold])
data_table.add_hline()
data_table.add_empty_row()
data_table.end_table_header()
data_table.add_row(
["Prov", "Num", "CurBal", "IntPay", "Total", "IntR"])
row = [
"PDADASDASDSADSADSADASDASDSADASDASA", "9", "$100", "%10", "$1000",
"Test"
]
for i in range(50):
data_table.add_row(row)
doc.append(bold("Grand Total:"))
doc.append(HFill())
doc.append(bold("Total"))
doc.generate_pdf("longtabu", clean_tex=False)
def generate_table(book):
'''
this is used to generate in table style.
suitable for language learning: e.g. Spanish / English etc
'''
print 'generating book: {title}'.format(title=book['title'])
doc = Document(geometry_options=GEOMETRY_OPTIONS)
doc = _setup_doc(doc, book)
# doc.append(NoEscape(r'\maketitle'))
section_count = 0
for section in book['sections']:
with doc.create(Section(section['title'], numbering=False)):
with doc.create(LongTabu(_TABLE_FORMAT, row_height=1.5)) as table:
table.end_table_header()
row_elements = []
for exercise in section['exercises']:
row_elements.append(NoEscape(exercise[0]))
row_elements.append(NoEscape(exercise[1]))
if len(row_elements) == 6:
table.add_row(row_elements)
row_elements = []
# table.add_hline()
section_count += 1
if section_count % 2 == 0:
doc.append(NewPage())
book_name = '{target_path}/{user} {title}'.format(target_path=TARGET_PATH,
user=book['user'],
title=book['title'])
doc.generate_pdf(book_name, clean_tex=True, compiler='xelatex')
def generate_eva_report():
geometry_options = {
"head": "40pt",
"margin": "0.5in",
"bottom": "0.6in",
"includeheadfoot": True
}
doc = Document(geometry_options=geometry_options)
reportStyle = PageStyle("reportStyle")
with reportStyle.create(Head("R")) as left_header:
with left_header.create(
MiniPage(width=NoEscape(r"0.49\textwidth"), pos='c',
align='l')) as title_wrapper:
title_wrapper.append(LargeText(bold("RiMEA-Projekt")))
title_wrapper.append(LineBreak())
title_wrapper.append(MediumText(bold("Anlyse")))
doc.preamble.append(reportStyle)
doc.change_document_style("reportStyle")
with doc.create(LongTabu("X[c] X[c]", row_height=1.5)) as report_table:
report_table.add_row(["Test", "evacuation time(s)"], mapper=bold)
report_table.add_hline()
for i in range(1, 4):
report_table.add_row(i, get_evac_time(i)[0])
doc.append(NewPage())
doc.generate_pdf("RiMEA-Projekt-Evacution-Analyse", clean_tex=False)
def constroiCorpo(self):
with self.documento.create(Tabu("X[l] X[r]")) as first_page_table:
customer = MiniPage(width=NoEscape(r"0.49\textwidth"), pos='h')
customer.append(bold("Nome fantasia: "))
customer.append(self.usuarioModel.nomeFantasia)
customer.append("\n")
customer.append(bold("CNPJ: "))
customer.append(mascaraCNPJ(self.usuarioModel.cnpj))
customer.append("\n")
customer.append(bold("Endereço: "))
if self.usuarioModel.endereco == 'None':
customer.append('---')
else:
customer.append(self.usuarioModel.endereco)
# Add branch information
branch = MiniPage(width=NoEscape(r"0.49\textwidth"),
pos='t!',
align='r')
branch.append(f"Total de clientes: {self.totalClientes}")
branch.append(LineBreak())
branch.append(f"Total de clientes Ativos: {self.clientesAtivos}")
branch.append(LineBreak())
branch.append(
f"Média de clientes ativos: {round((self.clientesAtivos / self.totalClientes)*100)} % "
)
branch.append(LineBreak())
first_page_table.add_row([customer, branch])
first_page_table.add_empty_row()
self.documento.change_document_style("firstpage")
with self.documento.create(
LongTabu("X[1.5l] X[2l] X[r] X[r] X[r]",
row_height=1.5)) as data_table:
data_table.add_row([
"Última atualização", "Nome do cliente", "Turma", "credits($)",
"balance($)"
],
mapper=bold,
color="lightgray")
data_table.add_empty_row()
data_table.add_hline()
for i, cliente in enumerate(self.clientesList):
clienteRow = list()
clienteRow.append(mascaraMeses(cliente[13]))
clienteRow.append(cliente[1] + ' ' + cliente[2])
clienteRow.append('Teste 1')
clienteRow.append('Teste 2')
clienteRow.append('Teste 3')
if (i % 2) == 0:
data_table.add_row(clienteRow, color="lightgray")
else:
data_table.add_row(clienteRow)
def gen(f_nm, n_ex, n_digits, digit_var, n_nums, n_cols):
print("----- START -----")
ttl = 'Column addition - ' + str(n_nums) + ' ' + str(n_digits) + '-digit values with ' + str(digit_var) + '-digit variance'
q_doc = Document(geometry_options = pge_geom, lmodern=True)
a_doc = Document(geometry_options = pge_geom, lmodern=True)
with q_doc.create(Section("Questions: " + ttl, numbering=False)):
q_doc.append('Solve the following questions!')
with a_doc.create(Section("Answers: " + ttl, numbering=False)):
a_doc.append('Answers to problem sheet')
q_doc.add_color(name="cream", model="rgb", description=cream_clr_def)
q_doc.append(Command('fontsize', arguments = ['16', '18']))
q_doc.append(Command('fontfamily', arguments = ['pcr']))
q_doc.append(Command('selectfont'))
q_doc.append(FlushRight())
a_doc.add_color(name="cream", model="rgb", description=cream_clr_def)
# Add statement table
with a_doc.create(LongTabu("X[l] " * n_cols, row_height=2.0)) as a_tbl:
with q_doc.create(LongTabu("X[r] " * n_cols, row_height=2.0)) as q_tbl:
for i in range(round(n_ex/n_cols)):
row = [' ' + str(n + i*n_cols) + '.' for n in range(0, n_cols)]
q_tbl.add_row(row, mapper=bold, color="cream")
row = [gen_example(n + i*n_cols, n_digits, n_nums, digit_var) for n in range(0, n_cols)]
q_tbl.add_row([r[0] for r in row])
if i % 2 == 0:
#a_tbl.add_row([r[1] for r in row], color = 'lightgray')
a_tbl.add_row([r[1] for r in row], color = 'cream')
else:
a_tbl.add_row([r[1] for r in row])
# write the file
q_doc.generate_pdf(out_dir + '/' + f_nm + str(n_digits) + '_digits_Q', clean_tex=False)
a_doc.generate_pdf(out_dir + '/' + f_nm + str(n_digits) + '_digits_A', clean_tex=False)
print("----- DONE -----")
def quadro_responsavel(self, profissionais, data_emissao):
with self.create(LongTabu("|X[l]|X[l]|")) as tabela_resp:
tabela_resp.add_hline()
tabela_resp.add_row(
(MultiColumn(2,
align='|c|',
data=bold('Responsável pela elaboração')), ))
tabela_resp.add_hline()
tabela_resp.add_row((bold('Nome'), profissionais[0]['nome']))
tabela_resp.add_hline()
tabela_resp.add_row((bold('Função'), profissionais[0]['titulo']))
tabela_resp.add_hline()
tabela_resp.add_row((bold('Data da elaboração'), data_emissao))
tabela_resp.add_hline()
tabela_resp.add_row((bold('Revisão Programada'), data_emissao))
tabela_resp.add_hline()
def table(self, csvFile=None, cType=None, pType=None):
with self.doc.create(Section(cType)):
self.doc.append('{} evaluation'.format(cType))
with self.doc.create(Subsection('Accuracy')):
with self.doc.create(LongTabu('|c|c|c|c|c|')) as table:
table.add_hline()
table.add_row(("eval", "type", "Precision", "Recall", "F1 Score"))
table.add_hline()
with open(csvFile) as f:
f_csv = csv.reader(f)
for row in f_csv:
e, t, p, r, f1 = row
table.add_row((e,t, p, r, f1))
table.add_hline()
def h_table(doc):
head_str = "X[l]"
col_names = ["Income Type"]
for key in ref_dict:
head_str += " X[c]"
col_names.append(key)
rowlist = make_rows()
with doc.create(LongTabu(head_str, row_height=2.0)) as data_table:
data_table.add_hline()
data_table.add_row(col_names)
data_table.add_hline()
data_table.add_row(rowlist[0])
data_table.add_row(rowlist[1])
data_table.add_row(rowlist[2])
data_table.add_row(rowlist[3])
data_table.add_row(rowlist[4])
data_table.add_hline()
def genenerate_tabus():
geometry_options = {
"landscape": True,
"margin": "1.5in",
"headheight": "20pt",
"headsep": "10pt",
"includeheadfoot": True
}
doc = Document(page_numbers=True, geometry_options=geometry_options)
# Generate data table with 'tight' columns
fmt = "X[r] X[r] X[r] X[r] X[r] X[r]"
with doc.create(LongTabu(fmt, spread="0pt")) as data_table:
header_row1 = ["Prov", "Num", "CurBal", "IntPay", "Total", "IntR"]
data_table.add_row(header_row1, mapper=[bold])
data_table.add_hline()
data_table.add_empty_row()
data_table.end_table_header()
data_table.add_row(
["Prov", "Num", "CurBal", "IntPay", "Total", "IntR"])
row = [
"aduiashdDASDASDASDSADSAuiasuidhasuidhasi", "9", "$100", "%10",
"$1000", "Test"
]
for i in range(40):
data_table.add_row(row)
with doc.create(Center()) as centered:
with centered.create(Tabu("X[r] X[r]", spread="1in")) as data_table:
header_row1 = ["X", "Y"]
data_table.add_row(header_row1, mapper=[bold])
data_table.add_hline()
row = [randint(0, 1000), randint(0, 1000)]
for i in range(4):
data_table.add_row(row)
with doc.create(Center()) as centered:
with centered.create(Tabu("X[r] X[r]", to="4in")) as data_table:
header_row1 = ["X", "Y"]
data_table.add_row(header_row1, mapper=[bold])
data_table.add_hline()
row = [randint(0, 1000), randint(0, 1000)]
for i in range(4):
data_table.add_row(row)
doc.generate_pdf("tabus", clean_tex=False)
def generate_info_table(doc):
with doc.create(LongTabu("X[l] X[r]")) as info_table:
header_row1 = ["Test Number", "Info"]
info_table.add_row(header_row1, mapper=[bold])
info_table.add_hline()
info_table.add_empty_row()
info_table.end_table_header()
for i in range(3):
row_1 = [str(i + 1), get_log(i + 1)[0]]
row_2 = [" ", get_log(i + 1)[1]]
info_table.add_row(row_1)
info_table.add_empty_row()
info_table.add_row(row_2)
info_table.add_hline()
info_table.add_empty_row()
def table(self, csvFile=None, cType=None, pType=None, level=None):
with self.doc.create(Section(cType)):
self.doc.append('{} evaluation'.format(cType))
with self.doc.create(Subsection('Qps/Mem detail')):
with self.doc.create(LongTabu('|c|c|c|')) as table:
table.add_hline()
table.add_row(("Model", "Qps", "Mem"))
table.add_hline()
with open(csvFile) as f:
f_csv = csv.reader(f)
for row in f_csv:
m, q, e = row
if level == 2:
e = '-'
table.add_row((m, q, e))
table.add_hline()
def generate_status_tabel(doc):
with doc.create(LongTabu("X[c] X[c] X[r]")) as status_table:
header_row1 = ["Test Number", "Status", "Exec time"]
status_table.add_row(header_row1, mapper=[bold])
status_table.add_hline()
status_table.add_empty_row()
status_table.end_table_header()
for i in range(15):
row = [
str(i + 1),
get_tests_status(i + 1),
get_exec_time(i + 1) + '[sec]'
]
status_table.add_row(row)
get_evac_time(i + 1)
def generate_status_tabel(doc):
"""
Generate a table which contains status of tests
:param doc: LaTeX object, a instance of Document Class
:return: null
"""
## Create a long table object in LaTeX object
with doc.create(LongTabu("X[c] X[c]")) as status_table:
header_row1 = ["Test Number", "Status"]
status_table.add_row(header_row1, mapper=[bold])
status_table.add_hline()
status_table.add_empty_row()
status_table.end_table_header()
for i in range(3):
row = [str(i+1), get_tests_status(i+1)]
status_table.add_row(row)
def semiannual_table(doc, year1, month1, data_list, init, final):
with doc.create(
LongTabu(
"X[0.4,c] X[1.3,c] X[1.2,c] X[c] X[1.1,c] X[0.4,c] X[0.4,c] X[4,l]",
row_height=1)) as data_table:
data_table.add_row(
NoEscape(r"\scriptsize\sffamily\bfseries N"),
NoEscape(r"\scriptsize\sffamily\bfseries FECHA"),
NoEscape(r"\scriptsize\sffamily\bfseries H:M:S"),
NoEscape(r"\scriptsize\sffamily\bfseries LAT"),
NoEscape(r"\scriptsize\sffamily\bfseries LON"),
NoEscape(r"\scriptsize\sffamily\bfseries Z"),
NoEscape(r"\scriptsize\sffamily\bfseries M"),
NoEscape(r"\scriptsize\sffamily\bfseries UBICACION"),
color="sgc2")
#data_table.add_empty_row()
data_table.end_table_header()
# para cada elemento en la lista list_to_table (lista con info de sismos)
for i in range(init, final):
if (i % 2) == 0:
data_table.add_row(Command("tiny", str(i + 1)),
Command("tiny", data_list[i][0]),
Command("tiny", data_list[i][1]),
Command("tiny", data_list[i][2]),
Command("tiny", data_list[i][3]),
Command("tiny", data_list[i][4]),
Command("tiny", data_list[i][5]),
Command("tiny", data_list[i][6]),
color="sgc2!20")
else:
data_table.add_row(Command("tiny", str(i + 1)),
Command("tiny", data_list[i][0]),
Command("tiny", data_list[i][1]),
Command("tiny", data_list[i][2]),
Command("tiny", data_list[i][3]),
Command("tiny", data_list[i][4]),
Command("tiny", data_list[i][5]),
Command("tiny", data_list[i][6]),
color="white")
def create_automatic_context_topics(self):
with self.doc.create(
Section(Constants.ITEM_TYPE.title() +
' context-rich topic models (automatic)')):
num_context_topics = len(
self.lda_based_context.context_rich_topics)
with self.doc.create(LongTabu(self.table_format)) as table:
table.add_hline()
table.add_row(self.headers, mapper=bold_mapper)
table.add_hline()
for topic in self.lda_based_context.context_rich_topics:
topic_id = topic[0]
ratio = topic[1]
color_id = self.automatic_context_topic_colors[topic_id]
color = self.rgb_tuples[color_id]
id_cell = str(topic_id) + str('|||') + str(color[0]) + \
'|||' + str(color[1]) + '|||' + str(color[2])
ratio_cell = str(ratio) + str('|||') + str(color[0]) + \
'|||' + str(color[1]) + '|||' + str(color[2])
row = [id_cell, ratio_cell]
# row = [str(topic_id + 1)]
topic_words =\
self.lda_based_context.print_topic(
topic_id, self.num_cols).split(' + ')
for word in topic_words:
word_color = word + str('|||') + str(color[0]) +\
'|||' + str(color[1]) + '|||' +\
str(color[2])
row.append(word_color)
# row.extend(topic_words)
table.add_row(row, mapper=background_color_mapper)
table.add_hline()
self.doc.append(UnsafeCommand('par'))
self.doc.append('Number of context-rich topics: %d' %
num_context_topics)
def v2_table(doc, column_list=column_list, table_vars_dict=table_vars_dict, column_label=column_label):
"""
This function generates a table with the variables in 'column_list'
----------
The function takes the column_list variables (listed in the notebook)
and looks up their corresponding tokens in table_vars_dict. It then executes
the tokens and assembles a table row.
"""
global token_list
token_list = []
head_str = ""
for var in column_list:
head_str += " X[c]"
token_list.append(table_vars_dict[var])
# begin generating table
with doc.create(LongTabu(head_str, row_height=2.0)) as data_table:
data_table.add_hline()
# change label of column list
del column_list[0]
global column_list_adj
column_list_adj = [column_label]
column_list_adj = column_list_adj + column_list
data_table.add_row(column_list_adj)
data_table.add_hline()
for key in calc_dict:
key1 = key
for key in calc_dict[key]:
key2 = key
global ex_token_list
ex_token_list = []
for token in token_list:
ex_token = eval(token)
ex_token_list.append(ex_token)
data_table.add_row(ex_token_list)
data_table.add_hline()
def v_table(doc, policy_key=True):
"""
Creates a vertical table, with reforms on y-axis and metrics on x-axis
----------
policy_key : This determines the listing on the y-axis, By default it is set
so that key1=True.
policy_key = True : Uses policy reforms
policy_key = False : Uses behavioral reforms
"""
with doc.create(LongTabu("X[c] X[c] X[c] X[c] X[c] X[c]", row_height=2.0)) as data_table:
data_table.add_hline()
data_table.add_row(['Elasticity of Charitable Giving',
'Taxpayers Receiving Tax Hike (millions)',
'Itemizers (millions)',
'Wght. Ave. MTR on Charitable Contributions',
'Total Charitable Contributions (billions)',
'10-Year Revenue Change (billions)'])
data_table.add_hline()
for key in calc_dict:
key1 = key
for key in calc_dict[key]:
key2 = key
if policy_key == True:
data_table.add_row([key1,
'{:,.1f}'.format(num_taxhike(calc_cl, calc_dict[key1][key2]) / 10.0**6),
'{:,.1f}'.format(num_ided(calc_dict[key1][key2]) / 10.0**6),
'{:.2f}'.format(100 * charity_wmtr(calc_cl)),
currency_fmt(num_charity(calc_dict[key1][key2])),
currency_fmt(ten_year_cost(calc_cl, calc_dict[key1][key2]))])
if policy_key == False:
data_table.add_row([key2,
'{:,.1f}'.format(num_taxhike(calc_cl, calc_dict[key1][key2]) / 10.0**6),
'{:,.1f}'.format(num_ided(calc_dict[key1][key2]) / 10.0**6),
'{:.2f}'.format(100 * charity_wmtr(calc_cl)),
currency_fmt(num_charity(calc_dict[key1][key2])),
currency_fmt(ten_year_cost(calc_cl, calc_dict[key1][key2]))])
data_table.add_hline()
def quadro_funcionarios(self, quadro_funcionarios, total_masc, total_fem,
total_fun):
with self.create(
LongTabu("|X[3,c]|X[c]|X[c]|")) as tabela_funcionarios:
tabela_funcionarios.add_hline()
tabela_funcionarios.add_row(
(MultiRow(2, data=bold('Função')),
MultiColumn(2,
align='c|',
data=bold('Número de Funcionários'))))
tabela_funcionarios.add_hline(2, 3)
tabela_funcionarios.add_row(
('', bold('Masculino'), bold('Feminino')))
tabela_funcionarios.end_table_header()
tabela_funcionarios.add_row(
(MultiColumn(3, align='|r|',
data='Continua na próxima página'), ))
tabela_funcionarios.add_hline()
tabela_funcionarios.end_table_footer()
tabela_funcionarios.add_hline()
tabela_funcionarios.add_row(
(MultiRow(2,
data=bold('Total Funcionários')), bold(total_masc),
bold(total_fem)))
tabela_funcionarios.add_hline(2, 3)
tabela_funcionarios.add_row(
('', MultiColumn(2, align='c|', data=bold(total_fun))))
tabela_funcionarios.add_hline()
tabela_funcionarios.end_table_last_footer()
for funcao in quadro_funcionarios:
row = [
funcao['funcao'], funcao['qtdMasculino'],
funcao['qtdFeminino']
]
tabela_funcionarios.add_hline()
tabela_funcionarios.add_row(row)
def generate_unique():
geometry_options = {
"head": "40pt",
"margin": "0.5in",
"bottom": "0.6in",
"includeheadfoot": True
}
doc = Document(geometry_options=geometry_options)
# Generating first page style
first_page = PageStyle("firstpage")
# Header image
with first_page.create(Head("L")) as header_left:
with header_left.create(
MiniPage(width=NoEscape(r"0.49\textwidth"),
pos='c')) as logo_wrapper:
logo_file = os.path.join(os.path.dirname(__file__),
'sample-logo.png')
logo_wrapper.append(
StandAloneGraphic(image_options="width=120px",
filename=logo_file))
# Add document title
with first_page.create(Head("R")) as right_header:
with right_header.create(
MiniPage(width=NoEscape(r"0.49\textwidth"), pos='c',
align='r')) as title_wrapper:
title_wrapper.append(LargeText(bold("Bank Account Statement")))
title_wrapper.append(LineBreak())
title_wrapper.append(MediumText(bold("Date")))
# Add footer
with first_page.create(Foot("C")) as footer:
message = "Important message please read"
with footer.create(
Tabularx(
"X X X X",
width_argument=NoEscape(r"\textwidth"))) as footer_table:
footer_table.add_row(
[MultiColumn(4, align='l', data=TextColor("blue", message))])
footer_table.add_hline(color="blue")
footer_table.add_empty_row()
branch_address = MiniPage(width=NoEscape(r"0.25\textwidth"),
pos='t')
branch_address.append("960 - 22nd street east")
branch_address.append("\n")
branch_address.append("Saskatoon, SK")
document_details = MiniPage(width=NoEscape(r"0.25\textwidth"),
pos='t',
align='r')
document_details.append("1000")
document_details.append(LineBreak())
document_details.append(simple_page_number())
footer_table.add_row([
branch_address, branch_address, branch_address,
document_details
])
doc.preamble.append(first_page)
# End first page style
# Add customer information
with doc.create(Tabu("X[l] X[r]")) as first_page_table:
customer = MiniPage(width=NoEscape(r"0.49\textwidth"), pos='h')
customer.append("Verna Volcano")
customer.append("\n")
customer.append("For some Person")
customer.append("\n")
customer.append("Address1")
customer.append("\n")
customer.append("Address2")
customer.append("\n")
customer.append("Address3")
# Add branch information
branch = MiniPage(width=NoEscape(r"0.49\textwidth"),
pos='t!',
align='r')
branch.append("Branch no.")
branch.append(LineBreak())
branch.append(bold("1181..."))
branch.append(LineBreak())
branch.append(bold("TIB Cheque"))
first_page_table.add_row([customer, branch])
first_page_table.add_empty_row()
doc.change_document_style("firstpage")
doc.add_color(name="lightgray", model="gray", description="0.80")
# Add statement table
with doc.create(LongTabu("X[l] X[2l] X[r] X[r] X[r]",
row_height=1.5)) as data_table:
data_table.add_row(
["date", "description", "debits($)", "credits($)", "balance($)"],
mapper=bold,
color="lightgray")
data_table.add_empty_row()
data_table.add_hline()
row = ["2016-JUN-01", "Test", "$100", "$1000", "-$900"]
for i in range(30):
if (i % 2) == 0:
data_table.add_row(row, color="lightgray")
else:
data_table.add_row(row)
doc.append(NewPage())
# Add cheque images
with doc.create(LongTabu("X[c] X[c]")) as cheque_table:
cheque_file = os.path.join(os.path.dirname(__file__),
'chequeexample.png')
cheque = StandAloneGraphic(cheque_file, image_options="width=200px")
for i in range(0, 20):
cheque_table.add_row([cheque, cheque])
doc.generate_pdf("complex_report", clean_tex=False)
def generate_unique(cpm):
geometry_options = {
"head": "60pt",
"margin": "0.5in",
"bottom": "0.6in",
"includeheadfoot": True
}
doc = Document(geometry_options=geometry_options)
first_page = PageStyle("firstpage")
with first_page.create(Head("L")) as header_left:
with header_left.create(
MiniPage(width=NoEscape(r"0.49\textwidth"), pos='c',
align='L')) as logo_wrapper:
logo_file = os.path.join(current_app.root_path,
"static/logo/sf.png")
logo_wrapper.append(
StandAloneGraphic(image_options="width=120px",
filename=logo_file))
with first_page.create(Head("R")) as header_right:
with header_right.create(
MiniPage(width=NoEscape(r'0.49\textwidth'), pos='c',
align='r')) as wrapper_right:
wrapper_right.append(LargeText(bold('SOCIALFISH')))
wrapper_right.append(LineBreak())
wrapper_right.append(MediumText(bold('UNDEADSEC')))
wrapper_right.append(LineBreak())
wrapper_right.append(NoEscape(r'\today'))
with first_page.create(Head('C')) as header_center:
header_center.append('CAPTURE REPORT')
with first_page.create(Foot("C")) as footer:
message = "Important message please read"
doc.preamble.append(first_page)
with doc.create(Tabu("X[l] X[r]")) as first_page_table:
customer = MiniPage(width=NoEscape(r"0.49\textwidth"), pos='h')
branch = MiniPage(width=NoEscape(r"0.49\textwidth"),
pos='t!',
align='r')
first_page_table.add_row([customer, branch])
first_page_table.add_empty_row()
doc.change_document_style("firstpage")
doc.add_color(name="lightgray", model="gray", description="0.80")
with doc.create(LongTabu("X[15l]", row_height=1.8)) as data_table:
data_table.add_row(["Organization\nCapture IP\nBrowser\nLog\n"],
mapper=bold,
color="lightgray")
data_table.add_empty_row()
data_table.add_hline()
result_query, result_count = generate_report(cpm)
x = 0
for i in range(result_count):
url = result_query[1 + x].split('//')[1]
ip = result_query[7 + x]
log_dict = literal_eval(result_query[2 + x])
if 'skstamp' in log_dict.keys():
rm_trash = log_dict.pop('skstamp')
elif 'utf8' in log_dict.keys():
rm_trash = log_dict.pop('utf8')
browser = result_query[4 + x] + ' v' + result_query[5 + x]
x = 8 * (i + 1)
row_tex = [
url + '\n' + ip + '\n' + browser + '\n' + str(log_dict) + '\n'
]
if (i % 2) == 0:
data_table.add_row(row_tex, color="lightgray")
else:
data_table.add_row(row_tex)
doc.append(NewPage())
pdf_name = 'Report{}'.format(strftime('-%y%m'))
doc.generate_pdf(pdf_name, clean_tex=False)
open_new(os.getcwd() + '/' + pdf_name + '.pdf')
from pylatex import Document, Section, Subsection, Tabular, MultiColumn, LongTabu
from pylatex import Math
from pylatex.utils import italic, bold
pge_geom = {"tmargin" : "1cm", "bmargin" : "1cm", "lmargin" : "1cm", "rmargin" : "1cm" }
if __name__ == '__main__' :
print("----- START -----")
doc = Document(geometry_options = pge_geom)
with doc.create(Section('The simple stuff', numbering=False)):
doc.append('Some regular text and some')
doc.append(italic('italic text. '))
doc.append('\nAlso some crazy characters: $&#{}')
# Add statement table
with doc.create(LongTabu("X[l] X[l] X[r]", row_height=2.0)) as data_table:
for i in range(30):
row = [str(i) + " :>", "2016-JUN-01", "$100"]
if (i % 2) == 0:
data_table.add_row(row, color="lightgray")
else:
data_table.add_row(row)
doc.generate_pdf('full', clean_tex = False)
print("----- DONE -----")
def pile_report(self, pile, pile2, F, factor=1.25):
"""添加桩基长度计算内容"""
self.soil = pile.soil
llist = pl.get_l(self.soil, pile.d, F, factor, pile.h1, pile.rho,
pile.t, pile.k2, pile2.type, pile2.completion)
ra_1, ra_2 = pl.pile_l(llist, self.soil, pile.d, F, pile.h1, pile.rho,
pile.t, pile.k2, pile2.type, pile2.completion)
if ra_1.max() > ra_2.max():
ptype = '摩擦桩'
ra = ra_1.max()
else:
ptype = '端承桩'
ra = ra_2.max()
t1 = f'''桩基直径：$d={pile.d:.2f}\,m$\n
桩基周长：$u={pile.u:.2f}\,m$\n
桩基截面积：$A_p={pile.pd:.2f}\,m^2$\n
桩基密度：$\gamma={pile.rho:.1f}\,kN/m^3$\n
容许承载力随深度的修正系数：$k_2={pile.k2:.1f}$\n
各土层加权平均重度：$\gamma_2={self.soil.rho:.1f}\,kN/m^3$\n
清底系数：$m_0={pile.m0:.1f}$
'''
t2 = '根据规范5.3.3可得，摩擦桩单桩承载力为'
m1 = ['[R_a]', '=\\frac{1}{2}u\\sum_{i=1}^nq_{ik}l_i+A_pq_r']
t3 = '根据规范5.3.4可得，端承桩单桩承载力为'
m2 = [
'[R_a]=', 'c_1A_pf_{rk}', '+u\\sum_{i=1}^mc_{2i}h_if_{rki}',
'+\\frac{1}{2}\\xi_su\sum_{i=1}^nl_iq_{ik}'
]
t4 = '考虑桩身自重与置换土重，桩基承载力为'
m3 = ['R_a', '=[R_a]-G_p+G_s']
t5 = '代入不同长度桩长，可得摩擦桩与端承桩承载力如下图所示'
t6 = '不同桩长具体承载力如下表所示'
t7 = f'由上述分析可知，当桩长为{max(llist)}m时，{ptype}承载力为{ra:.0f}kN，安全系数为{ra/F:.2f}，桩基承载力可满足规范要求。'
with self.doc.create(Section('地基基本情况')):
with self.doc.create(LongTabu("p{4cm}XXXXX")) as soil_table:
header_row1 = self.soil.prop.columns.to_list()[:-1]
soil_table.add_hline()
soil_table.add_row(header_row1, mapper=[bold])
soil_table.add_hline()
for i in self.soil.prop.index:
soil_table.add_row(self.soil.prop.iloc[i].to_list()[:-1])
soil_table.add_hline()
with self.doc.create(Section('桩基及其他参数取值')):
self.doc.append(NoEscape(t1))
with self.doc.create(Section('桩长计算')):
self.doc.append(t2)
self.doc.append(Math(data=m1, escape=False))
self.doc.append(NoEscape('\n'))
self.doc.append(t3)
self.doc.append(Math(data=m2, escape=False))
self.doc.append(NoEscape('\n'))
self.doc.append(t4)
self.doc.append(Math(data=m3, escape=False))
self.doc.append(NoEscape('\n'))
self.doc.append(t5)
with self.doc.create(Figure(position='htbp')) as plot:
plot.add_plot(width=NoEscape(r'1\textwidth'), dpi=300)
self.doc.append(NoEscape('\n'))
self.doc.append(t6)
with self.doc.create(LongTable('p{1.5cm}|ll|ll')) as pll:
pll.add_hline()
pll.add_row(['桩长', '摩擦桩承载力', '安全系数', '端承桩承载力', '安全系数'])
pll.add_hline()
for i, j in enumerate(llist):
pll.add_row([
j, f'{ra_1[i]:.0f}', f'{ra_1[i]/F:.2f}',
f'{ra_2[i]:.0f}', f'{ra_2[i]/F:.2f}'
])
pll.add_hline()
self.doc.append(t7)
doc.preamble.append(Command('title', 'Report'))
doc.preamble.append(Command('author', 'Stream Processor Performance Testing-' + path))
doc.preamble.append(Command('date', NoEscape(r'\today')))
doc.append(NoEscape(r'\maketitle'))
doc.append(NoEscape(r'\newpage'))
# Generating summary results chart for each run
# throughput summary table and chart
with doc.create(
Section('Average Throughput During 60-180 seconds time period since the start of the benchmarking experiment')):
doc.append(NoEscape(r'\hfill \break'))
fmt = "X[r] X[r]"
with doc.create(Subsection('Summary Table')):
with doc.create(LongTabu(fmt, spread="0pt")) as data_table:
header_row = ['Experiment runs', 'Average Throughput(million events/second)']
data_table.add_row(header_row, mapper=[bold])
data_table.add_hline()
data_table.add_empty_row()
data_table.end_table_header()
# Iterates through throughput array and no_file_array and append rescpective run and throughput in the row
for x, y in np.c_[no_of_file, throughput]:
row = [x, y]
data_table.add_row(row)
doc.append(NoEscape(r'\newpage'))
# append graph into the pdf report
with doc.create(Subsection("Graph")):
with doc.create(Figure(position='h!')) as throughput_chart:
throughput_chart.add_image(throughput_image_dir, width='450px')
def json2latex2pdf(json, mode="clean"):
# on construit le nom du rapport
#rapFile = "_TEX_report"
name = json["comp_details"]["general"]["job_type"][0]
rapFile = (name + "_report")
#####################################################################
# #
## production du rapport en .tex #
# #
#####################################################################
### create document and import needed packages
doc = (Document("article"))
# packages
doc.packages.append(Package('datetime'))
doc.packages.append(NoEscape(r'\usepackage[margin=2cm]{geometry}'))
doc.packages.append(NoEscape(r'\usepackage{extramarks}'))
doc.packages.append(NoEscape(r'\usepackage{fancyhdr}'))
doc.packages.append(NoEscape(r'\usepackage{svg}'))
doc.packages.append(NoEscape(r'\usepackage[utf8]{inputenc}'))
doc.packages.append(NoEscape(r'\usepackage{titlesec}'))
#
doc.packages.append(NoEscape(r'\pagestyle{fancy}'))
doc.packages.append(NoEscape(r'\fancyhf{}'))
# define header / footer texts
doc.packages.append(NoEscape(r'\lhead{MOLECULAR CALCULATION REPORT}'))
doc.packages.append(NoEscape(r'\rhead{Generated by QuChemReport}'))
doc.packages.append(NoEscape(r'\lfoot{\today ~ \currenttime}'))
doc.packages.append(NoEscape(r'\rfoot{Page \thepage}'))
doc.packages.append(NoEscape(r'\cfoot{}'))
# redefine rules for header / footer
doc.packages.append(NoEscape(r'\renewcommand\headrulewidth{0.4pt}'))
doc.packages.append(NoEscape(r'\renewcommand\footrulewidth{0.4pt}'))
# redefine section
doc.packages.append(NoEscape(r'\definecolor{ufrblue}{RGB}{0,161,140}'))
doc.packages.append(NoEscape(r'\definecolor{bordeau}{RGB}{125,31,31}'))
doc.packages.append(
NoEscape(
r'\titleformat{name=\section}[block]{\sc\large}{}{0pt}{\colorsection}'
))
doc.packages.append(
NoEscape(r'\titlespacing*{\section}{0pt}{\baselineskip}{5pt}'))
doc.packages.append(
NoEscape(r'\titlespacing{\subsection}{4pt}{\baselineskip}{5pt}'))
doc.packages.append(
NoEscape(
r'\newcommand{\colorsection}[1]{' +
r'\colorbox{ufrblue}{\parbox{\dimexpr\textwidth-2\fboxsep}{\textcolor{white}{'
+ r'\textbf{{\thesection.\ #1}}}}}}'))
### section 1 : authorship TODO with the DB !
#########################################
# with doc.create(Section('AUTHORSHIP')):
# with doc.create(LongTabu("X[1,l] X[2,l]")) as tab:
# tab.add_row(['Original file', json["authorship"]["log_file"]])
# tab.add_row(['Primary author', json["authorship"]["primary_author"]])
# add_row_filter(tab, ['ORCID', json["authorship"]["primary_author_orcid"]])
# add_row_filter(tab, ['Affiliation', json["authorship"]["primary_author_affiliation"]])
# add_row_filter(tab, ['Publication DOI', json["authorship"]["publication_DOI"]])
### section 2 : molecule
with doc.create(Section('MOLECULE')):
taillePng = "6cm"
nomPng = "img-TOPOLOGY.png"
if (not os.path.isfile("img-TOPOLOGY.png")):
print("No PNG named " + nomPng + " found. STOP.\n")
sys.exit()
# figure with Chemical structure diagram
doc.append(NoEscape(r'\begin{figure}[h]'))
doc.append(NoEscape(r'\begin{center}'))
doc.append(
NoEscape(r'\includegraphics[width=' + taillePng + ']{' + nomPng +
'}'))
doc.append(NoEscape(r'\end{center}'))
doc.append(NoEscape(r'\vspace{-5mm}'))
doc.append(
NoEscape(
r'\caption*{Chemical structure diagram with atomic numbering.}'
))
doc.append(NoEscape(r'\end{figure}'))
with doc.create(LongTabu("X[1,l] X[2,l]")) as mol_table:
inchi = (json["molecule"]["inchi"])[0].rstrip().split("=")[-1]
mol_table.add_row(['InChI', inchi])
mol_table.add_row(['SMILES', json["molecule"]["smi"]])
mol_table.add_row([
'Monoisotopic mass',
"%.5f Da" % json["molecule"]["monoisotopic_mass"]
])
mol_table.add_row(['Formula', json["molecule"]["formula"]])
mol_table.add_row(['Charge', json["molecule"]["charge"]])
mol_table.add_row(
['Spin multiplicity', json["molecule"]["multiplicity"]])
### section 2 : computational details
#########################################
software = json["comp_details"]["general"]["package"]
with doc.create(Section('COMPUTATIONAL DETAILS')):
#with doc.create(Subsection('General parameters')) :
with doc.create(LongTabu("X[1,l] X[1,l]")) as param_table:
try:
param_table.add_row([
'Software',
json["comp_details"]["general"]["package"] + ' (' +
json["comp_details"]["general"]["package_version"] + ')'
])
except KeyError:
pass
param_table.add_row([
'Computational method',
json["comp_details"]["general"]["last_theory"]
])
add_row_filter(
param_table,
['Functional', json["comp_details"]["general"]["functional"]])
try:
add_row_filter(param_table, [
'Basis set name',
json["comp_details"]["general"]["basis_set_name"]
])
except KeyError:
pass
param_table.add_row([
'Number of basis set functions',
json["comp_details"]["general"]["basis_set_size"]
])
param_table.add_row([
'Closed shell calculation',
json["comp_details"]["general"]["is_closed_shell"]
])
add_row_filter(param_table, [
'Integration grid',
json["comp_details"]["general"]["integration_grid"]
])
add_row_filter(
param_table,
['Solvent', json["comp_details"]["general"]["solvent"]])
# TODO Test if solvent = gas in this case no Solvent reaction filed method
# add_row_filter(param_table, ['Solvent reaction filed method',
# json["comp_details"]["general"]["solvent_reaction_field"]])
scfTargets = json["comp_details"]["general"]["scf_targets"][-1]
if software == "Gaussian": # Gaussian or GAUSSIAN (upper/lower?
param_table.add_row([
"Requested SCF convergence on RMS density matrix",
scfTargets[0]
])
param_table.add_row([
"Requested SCF convergence on MAX density matrix",
scfTargets[1]
])
param_table.add_row(
["Requested SCF convergence on energy", scfTargets[2]])
if software == "GAMESS":
param_table.add_row(
["Requested SCF convergence on density", scfTargets[0]])
#with doc.create(Subsection('Thermochemistry and normal modes calculation parameters')) :
## TODO tester si freq
try:
add_row_filter(param_table, [
'Temperature',
"%.2f K" % json["comp_details"]["freq"]["temperature"]
])
except:
pass
T_len = False
try:
len(json["comp_details"]["freq"]["temperature"])
except KeyError:
json["comp_details"]["freq"]["temperature"] = []
except TypeError:
T_len = True
if T_len is True:
try:
add_row_filter(param_table, [
'Anharmonic effects',
json["comp_details"]["freq"]["anharmonicity"]
])
except KeyError:
pass
if (json["comp_details"]["freq"]["temperature"]) != []:
try:
add_row_filter(param_table, [
'Anharmonic effects',
json["comp_details"]["freq"]["anharmonicity"]
])
except KeyError:
pass
#with doc.create(Subsection('Excited states calculation parameters')) :
try:
add_row_filter(param_table, [
'Number of excited states',
json["comp_details"]["excited_states"]["nb_et_states"]
])
except KeyError:
pass
### section 3 : results
#########################################
with doc.create(Section('RESULTS')):
with doc.create(Subsection('Wavefunction')):
with doc.create(LongTabu("X[l] X[l]")) as wavef_table:
wavef_table.add_row([
'Total molecular energy',
"%.5f Hartrees" %
json["results"]["wavefunction"]["total_molecular_energy"]
])
homo_indexes = [
i + 1
for i in json["results"]["wavefunction"]["homo_indexes"]
]
wavef_table.add_row([
'H**O number', ("%s" % homo_indexes)[1:-1]
]) # indice begins at 0, remove brackets
MO_energies = json["results"]["wavefunction"]["MO_energies"][-1]
homo_nb = json["results"]["wavefunction"]["homo_indexes"][-1]
doc.append(NoEscape(r'\begin{center}'))
with doc.create(Table()) as motab:
doc.append(NoEscape(r'\centering'))
with doc.create(Tabular('p{1cm}ccccp{1cm}')) as mo_table:
row_cells = MultiColumn(
6,
align='c',
data=
'Calculated energies for the frontier molecular orbitals (in eV)'
)
mo_table.add_row([row_cells])
mo_table.add_row(
['', 'H**O-1', 'H**O', 'LUMO', 'LUMO+1', ''])
mo_table.add_hline()
mo_table.add_row([
'',
"%.2f" % MO_energies[homo_nb - 1],
"%.2f" % MO_energies[homo_nb],
"%.2f" % MO_energies[homo_nb + 1],
"%.2f" % MO_energies[homo_nb + 2], ''
])
doc.append(NoEscape(r'\end{center}'))
# figure with MO
#### TODO : test autosize
try:
if len(json["results"]["excited_states"]['MO_png_list']) > 0:
figure_MO_table(
doc, ["LU1", "LUMO", "H**O", "HO1"],
json["results"]["excited_states"]['MO_png_list'],
caption=
("Representation of the frontier molecular orbitals with a cutoff "
"value of 0.05. From up to bottom: LUMO+1, LUMO, H**O, H**O-1."
))
except:
pass
# figure skel for Atom numbering scheme
try:
figure_two_col(doc,
"skel",
json["results"]["geometry"]['skel_png_list'],
caption="Atom numbering scheme.",
pos="h")
except:
pass
# Mulliken partial charges table
try:
mulliken = json["results"]["wavefunction"][
"Mulliken_partial_charges"]
except KeyError:
mulliken = []
if len(mulliken) != 0:
mulliken = np.array(mulliken)
mean_m = np.mean(mulliken)
dev_m = np.std(mulliken)
thres_max = mean_m + dev_m
thres_min = mean_m - dev_m
doc.append(NoEscape(r'\begin{center}'))
ind = np.argsort(mulliken)
with doc.create(Tabular('p{0.5cm}rrrp{0.5cm}')) as tableau:
row_cells = [
MultiColumn(
5,
align='c',
data='Most intense Mulliken atomic charges')
]
tableau.add_row(row_cells)
row_cells = [
MultiColumn(5,
align='c',
data='mean = %.3f e, std = %.3f' %
(mean_m, dev_m))
]
tableau.add_row(row_cells)
tableau.add_row(
["", "Atom", "number", "Mulliken charges", ""])
tableau.add_hline()
for ielt in ind:
if (mulliken[ielt] > thres_max) or (mulliken[ielt] <
thres_min):
tableau.add_row([
"",
PeriodicTable().element[json['molecule']
["atoms_Z"][ielt]],
(1 + ielt),
"%.3f" % mulliken[ielt], ""
])
tableau.add_hline()
doc.append(NoEscape(r'\end{center}'))
# figure MEP
try:
if len(json["results"]["wavefunction"]['MEP_png_list']) > 0:
figure_two_col(
doc,
"MEP",
json["results"]["wavefunction"]['MEP_png_list'],
caption=
("Representation of the molecular electrostatic potential "
"at the distance of the van der Waals radii of the atoms. "
"The red/blue regions depict the most negative (-0.1) / "
"positive (+0.1) regions."),
pos="h")
except:
pass
with doc.create(Subsection('Geometry')):
######## PB
atomic = json["results"]["geometry"][
"elements_3D_coords_converged"]
oxtrf, oytrf, oxtrd, oytrd = ('N/A', 'N/A', 'N/A', 'N/A')
### TODO
# if singlePoint==1 :
# doc.append('This calculation is a single point ')
try:
is_opt = json["results"]["geometry"]["OPT_DONE"] == True
except KeyError:
is_opt = []
if is_opt:
doc.append(
NoEscape(
r"This calculation is the result of a geometry optimization process."
))
else:
doc.append(
NoEscape(
r"\textcolor{bordeau}{Warning : this calculation does not include a geometry "
"optimization process. This geometry may not be a stationary "
"point for those computational parameters. In this case, results must be "
"used with caution.}"))
if is_opt:
### TODO tests gaussian
doc.append(NoEscape(r'\begin{center}'))
geomTargets = json["comp_details"]["geometry"][
"geometric_targets"]
geomValues = json["results"]["geometry"]["geometric_values"][
-1]
with doc.create(Tabular('p{0cm}lrrp{0cm}')) as param_table:
row_cells = [
MultiColumn(
5,
align='c',
data='Geometry optimization convergence criteria')
]
param_table.add_row(row_cells)
param_table.add_row(["", "", "Value", "Threshold", ""])
param_table.add_hline()
if software == "Gaussian":
param_table.add_row([
"", "Maximum Force",
"%.6f" % geomValues[0],
"%.6f" % geomTargets[0], ""
])
param_table.add_row([
"", "RMS Force",
"%.6f" % geomValues[1],
"%.6f" % geomTargets[1], ""
])
param_table.add_row([
"", "Maximum Displacement",
"%.6f" % geomValues[2],
"%.6f" % geomTargets[2], ""
])
param_table.add_row([
"", "RMS Displacement",
"%.6f" % geomValues[3],
"%.6f" % geomTargets[3], ""
])
if software == "GAMESS":
# in Hartrees per Bohr
param_table.add_row([
"", "Maximum Force",
"%.5f" % geomValues[0],
"%.5f" % geomTargets[0], ""
])
param_table.add_row([
"", "RMS Force",
"%.5f" % geomValues[1],
"%.5f" % geomTargets[1], ""
])
param_table.add_hline()
doc.append(NoEscape(r'\end{center}'))
with doc.create(LongTabu("X[l] X[l]")) as geom_table:
geom_table.add_row([
'Nuclear repulsion energy',
"%.5f Hartrees" % json["results"]["geometry"]
["nuclear_repulsion_energy_from_xyz"]
])
doc.append(NoEscape(r'\begin{center}'))
with doc.create(Tabular('p{0.5cm}rrrrp{0.5cm}')) as tableau:
row_cells = [
MultiColumn(
6,
align='c',
data='Cartesian atomic coordinates in Angstroms')
]
tableau.add_row(row_cells)
tableau.add_row([
"", "Atom",
MultiColumn(1, align='c', data='X'),
MultiColumn(1, align='c', data='Y'),
MultiColumn(1, align='c', data='Z'), ""
])
tableau.add_hline()
atoms = np.array(json["results"]["geometry"]
["elements_3D_coords_converged"]).reshape(
(-1, 3))
for i, a in enumerate(atoms):
tableau.add_row([
"",
PeriodicTable().element[json['molecule']["atoms_Z"]
[i]],
"%.4f" % a[0],
"%.4f" % a[1],
"%.4f" % a[2], ""
])
tableau.add_hline()
doc.append(NoEscape(r'\end{center}'))
### Freq
#### TODO : tests
with doc.create(Subsection('Thermochemistry and normal modes')):
rtemper = json["comp_details"]["freq"]["temperature"]
# ND-arrays
try:
vibrational_int = np.array(
json["results"]["freq"]["vibrational_int"])
except KeyError:
vibrational_int = []
try:
vibrational_freq = np.array(
json["results"]["freq"]["vibrational_freq"])
except KeyError:
vibrational_freq = []
try:
vibrational_sym = np.array(
json["results"]["freq"]["vibrational_sym"])
except KeyError:
vibrational_sym = []
# filtering & orderering
if len(vibrational_int) == 0:
vibrational_int = []
else:
vib_filter = vibrational_int > 50.
vib_order = np.argsort(vibrational_freq[vib_filter])[::-1]
vibrational_int = vibrational_int[vib_filter][vib_order]
vibrational_freq = vibrational_freq[vib_filter][vib_order]
vibrational_sym = vibrational_sym[vib_filter][vib_order]
if (len(vibrational_int) != 0) and (rtemper != "N/A"):
with doc.create(LongTabu("X[l] X[l]")) as thermo_table:
thermo_table.add_row([
'Sum of electronic and zero-point energy in Hartrees',
json["results"]["freq"]["zero_point_energy"]
])
thermo_table.add_row([
"Sum of electronic and thermal at "
"%f K energies in atomic units" % rtemper,
json["results"]["freq"]["electronic_thermal_energy"]
])
thermo_table.add_row([
"Entropy at %f K in atomic units" % rtemper,
json["results"]["freq"]["entropy"]
])
thermo_table.add_row([
"Enthalpy at %f K in atomic units" % rtemper,
json["results"]["freq"]["enthalpy"]
])
thermo_table.add_row([
"Gibbs free energy at %f K in atomic units" % rtemper,
json["results"]["freq"]["free_energy"]
])
doc.append(
"Table of the most intense molecular vibrations (> 20 km/mol) (%d)\n"
% len(vibrational_int))
with doc.create(Tabular('rrrc')) as tableau:
tableau.add_row(
["", "Frequencies", "Intensity", "Symmetry"])
for i in range(len(vibrational_freq)):
tableau.add_row([
"",
"%.4f" % vibrational_freq[i],
"%.4f" % vibrational_int[i], vibrational_sym[i]
])
else:
doc.append(
NoEscape(
r"\textcolor{bordeau}{Warning : force constants and the "
"resulting vibrational frequencies were not computed.}"
))
### Excited states
try:
et_energies = json["results"]["excited_states"]["et_energies"]
except KeyError:
et_energies = []
rnbExci = len(et_energies)
if rnbExci != 0 and et_energies != 'N/A':
with doc.create(Subsection('Excited states')):
doc.append(NoEscape(r'\begin{center}'))
with doc.create(Tabular('p{0cm}rrrrrrp{0cm}')) as tableau:
row_cells = [
MultiColumn(
8,
align='c',
data="Calculated mono-electronic excitations")
]
tableau.add_row(row_cells)
tableau.add_row([
"", "Number", "Energy", "Symmetry",
"Oscillator strength", "Rotatory strength",
"Transitions", ""
])
tableau.add_hline()
for i in range(rnbExci):
etr_i = (json["results"]["excited_states"]["et_rot"][i]
if json["results"]["excited_states"]["et_rot"]
!= 'N/A' else 'N/A')
tableau.add_row([
"", (1 + i),
"%.2f" % et_energies[i],
json["results"]["excited_states"]["et_sym"][i],
"%.6f" %
json["results"]["excited_states"]["et_oscs"][i],
etr_i,
len(json["results"]["excited_states"]
["et_transitions"][i]), ""
])
tableau.add_hline()
doc.append(NoEscape(r'\end{center}'))
#####################################################################
# #
## 3. compilation LaTeX #
# #
#####################################################################
# on compile
# on previent si le fichier PDF est present ou pas
# par defaut dans pylatex tout ce qui concerne latex est efface
### compile and output
# doc.generate_pdf(rapFile, clean_tex=True) # comportement en routine, avec False en mode dev/debug
# OK sans SVG doc.generate_pdf(rapFile, clean_tex=False)
# pas de chance !! doc.generate_pdf(rapFile, clean_tex=False,compiler="pdflatex --shell-escape")
texFile = rapFile + ".tex"
if (os.path.isfile(texFile)):
os.remove(texFile)
pdfFile = rapFile + ".pdf"
if (os.path.isfile(pdfFile)):
os.remove(pdfFile)
doc.generate_tex(rapFile)
cmd = "pdflatex --shell-escape " + rapFile
# si cleanMode = "--clean" on redirige vers /dev/null
if mode == "clean":
cmd += " > /dev/null"
# compilation LaTeX
os.system(cmd)
# un peu de nettoyage si cleanMode = "--clean"
if mode == "clean":
if os.path.isfile(rapFile + '.aux'):
os.remove(rapFile + '.aux')
if os.path.isfile(rapFile + '.log'):
os.remove(rapFile + '.log')
if os.path.isfile(rapFile + '.tex'):
os.remove(rapFile + '.tex')
# message de fin
if (os.path.isfile(pdfFile)):
print('Report file is ' + rapFile + ".pdf")
else:
print('Probably a LateX error.')
def generate_report(self):
# Basic document
# Document with `\maketitle` command activated
doc = Document(default_filepath=(self.folder + r"/figures"))
doc.documentclass = Command(
'documentclass',
options=['10pt', 'a4'],
arguments=['article'],
)
doc.packages.append(NoEscape(r'\setcounter{tocdepth}{4}'))
doc.packages.append(NoEscape(r'\setcounter{secnumdepth}{1}'))
# usepackages
doc.packages.append(Package('helvet'))
doc.packages.append(Package('graphicx'))
doc.packages.append(Package('geometry'))
doc.packages.append(Package('float'))
doc.packages.append(Package('amsmath'))
doc.packages.append(Package('multicol'))
doc.packages.append(Package('ragged2e'))
doc.packages.append(Package('breakurl'))
doc.packages.append(Package('booktabs, multirow'))
doc.packages.append(Package('epstopdf'))
doc.packages.append(
NoEscape(r'\usepackage[nolist, nohyperlinks]{acronym}'))
doc.packages.append(Package('hyperref'))
# add commands
doc.preamble.append(
NoEscape(r"\renewcommand{\familydefault}{\sfdefault}"))
doc.preamble.append(
NoEscape(r"\newcommand\Tstrut{\rule{0pt}{3ex}} % = `top' strut"))
doc.preamble.append(
NoEscape(
r"\newcommand\Bstrut{\rule[1ex]{0pt}{0pt}} % = `bottom' strut"
))
# make title
title = "Report for Session: " + self.session
doc.preamble.append(Command('title', title))
#doc.preamble.append(Command('author', 'Anonymous author'))
doc.preamble.append(Command('date', NoEscape(r'\today')))
doc.append(NoEscape(r'\maketitle'))
doc.append(NoEscape(r'\tableofcontents'))
doc.append(NewPage())
doc.append(
NoEscape(r'\newgeometry{vmargin={12mm}, hmargin={10mm,10mm}}'))
doc.append(NoEscape(r'\bigskip'))
# summary section
with doc.create(Section('Session summary')):
# create summary table
with doc.create(LongTabu("X | X")) as summary_table:
with doc.create(Tabular("r r")) as small_table:
small_table.add_row(["Summary", ""])
small_table.add_hline()
small_table.add_row(["Gamble side:", self.gamble_side])
small_table.add_hline()
small_table.add_row(
["All trials",
self.all_trials_df.index.max()])
small_table.add_row(
["Good trials",
self.good_trials_df.index.max()])
small_table.add_row([
"Selected trials",
self.selected_trials_df.index.max()
])
small_table.add_hline()
small_table.add_row([
"Probability bins",
str(self.all_trials_df['probability'].unique())
])
# add overview plots
doc.append(NoEscape(self.image_box("hist_fit", last=True)))
doc.append(NoEscape(self.image_box("trial_length")))
doc.append(NoEscape(self.image_box("cluster_hist", last=True)))
doc.append(NewPage())
# Add stuff to the document
with doc.create(
Section('Spike Trains and Histogram for Reward Events')):
# create necessary variables
for cluster in self.clusters_df.loc[self.clusters_df['group'] ==
'good'].index:
# create subsection title
subsection = "Cluster " + str(cluster)
with doc.create(Subsection(subsection, label=False)):
# create details table
with doc.create(LongTabu("X | X")) as details_table:
doc.append(
NoEscape(self.image_box_cluster("isi", cluster)))
doc.append(
NoEscape(
self.image_box_cluster("spk_train",
cluster,
last=True)))
details_table.add_hline()
details_table.add_row(
["All Trials", "Rewarded Trials"])
doc.append(
NoEscape(
self.image_box_cluster(
"spk_train_hist_all-events", cluster)))
doc.append(
NoEscape(
self.image_box_cluster(
"spk_train_hist_all-events_reward-centered",
cluster,
last=True)))
details_table.add_hline()
details_table.add_row(
["Gambl Side Reward", "Save Side Reward"])
#details_table.end_table_header()
doc.append(
NoEscape(
self.image_box_cluster(
"spk_train_hist_gamble_reward", cluster)))
doc.append(
NoEscape(
self.image_box_cluster(
"spk_train_hist_save_reward",
cluster,
last=True)))
#details_table.add_hline()
details_table.add_row(
["Gambl Side No-Reward", "Save Side No-Reward"])
doc.append(
NoEscape(
self.image_box_cluster(
"spk_train_hist_gamble_no-reward",
cluster)))
doc.append(
NoEscape(
self.image_box_cluster(
"spk_train_hist_save_no-reward",
cluster,
last=True)))
doc.append(NewPage())
# create file_name
filepath = (self.folder + "/" + self.session + "-report")
# create pdf
doc.generate_pdf(
filepath, clean=True, clean_tex=True
) #, compiler='latexmk -f -xelatex -interaction=nonstopmode')
