def generate_user_story(user_story: UserStory, locale: LocaleDictionary,
paragraph: Paragraph) -> Paragraph:
with paragraph.create(Tabularx(table_spec="|X|X|",
row_height="1.4")) as tabularx:
tabularx: Tabularx
definitions_of_done = Itemize()
for definition_of_done in user_story.definitions_of_done:
definitions_of_done.add_item(definition_of_done)
comments = Itemize()
for comment in user_story.comments:
comments.add_item(comment)
tabularx.add_row(
[MultiColumn(2, data=bold(user_story.name), color="gray")])
tabularx.add_row([f"{locale.as_user}: ", f"{locale.user_want}: "])
tabularx.add_row([user_story.user, user_story.action])
if user_story.description is not None:
tabularx.add_row([
MultiColumn(
2,
align=NoEscape("|p{\\rowWidth}|"),
data=[f"{locale.description}: ", user_story.description],
color="gray")
])
if len(user_story.definitions_of_done) > 0:
tabularx.add_row([
MultiColumn(2,
align=NoEscape("|p{\\rowWidth}|"),
data=[
f"{locale.definition_of_done}: ",
definitions_of_done
])
])
if len(user_story.assignments) > 0:
tabularx.add_row([
MultiColumn(2,
align=NoEscape("|p{\\rowWidth}|"),
data=[
f"{locale.assignation}: ",
", ".join(user_story.assignments)
],
color="gray")
])
tabularx.add_row([
f"{locale.estimated_duration}: ",
f"{user_story.estimated_duration:g} {locale.man_days} ({int(user_story.estimated_duration * 8)}"
f" {locale.hours})"
])
tabularx.add_row(
[f"{locale.status}: ",
user_story.status.translate(locale)])
if len(user_story.comments) > 0:
tabularx.add_row([
MultiColumn(2,
align=NoEscape("|p{\\rowWidth}|"),
data=[f"{locale.comments}: ", comments],
color="gray")
])
return paragraph
def write_prgramm_statments(self, doc):
section1 = Section("rCat, v.0.1", numbering=False)
section1.append(
"This program is developed by Florian Barth and Evgeny Kim with the help of Roman Klinger and Sandra Murr. It is part of the Center for Reflected Text Analytics (CRETA) at the Universtiy of Stuttgart.\n\nFeel free to contact us:"
)
list = Itemize()
list.add_item("*****@*****.**")
section1.append(list)
doc.append(section1)
def test_lists():
# Lists
itemize = Itemize()
itemize.add_item(s="item")
itemize.append("append")
enum = Enumerate()
enum.add_item(s="item")
enum.append("append")
desc = Description()
desc.add_item(label="label", s="item")
desc.append("append")
def test_lists():
# Lists
itemize = Itemize()
itemize.add_item(s="item")
itemize.append("append")
enum = Enumerate()
enum.add_item(s="item")
enum.append("append")
desc = Description()
desc.add_item(label="label", s="item")
desc.append("append")
def build_text_automatic(self, record):
text = record[Constants.TEXT_FIELD]
sentences = nlp_utils.get_sentences(text)
lemmatized_words = []
for sentence in sentences:
lemmatized_words.append(
nlp_utils.lemmatize_sentence(sentence,
nltk.re.compile(''),
min_length=1,
max_length=100))
doc_parts = []
itemize = Itemize()
for sentence in lemmatized_words:
new_words = []
itemize.add_item('')
for tagged_word in sentence:
tag = tagged_word[1]
word = tagged_word[0]
singular = pattern.text.en.singularize(word)
word_found = False
# if tag == 'VBD':
# new_words.append(
# '\\colorbox[rgb]{0.5,0.5,0.5}{' + word + '}')
# word_found = True
#
# if tag.startswith('PRP'):
# new_words.append(
# '\\colorbox[rgb]{0.85,0.85,0.85}{' + word + '}')
# word_found = True
for topic_id in self.automatic_context_topic_ids:
if word in self.topic_words_map[topic_id]:
# if singular in context_words[Constants.ITEM_TYPE][topic]:
self.tag_word(word)
color_id = self.automatic_context_topic_colors[
topic_id]
color = self.rgb_tuples[color_id]
new_words.append('\\colorbox[rgb]{' + str(color[0]) +
',' + str(color[1]) + ',' +
str(color[2]) + '}{' + word + '}')
word_found = True
break
if not word_found:
new_words.append(word)
itemize.append(NoEscape(' '.join(new_words)))
doc_parts.append(itemize)
return doc_parts
def build_text_automatic(self, record):
text = record[Constants.TEXT_FIELD]
sentences = nlp_utils.get_sentences(text)
lemmatized_words = []
for sentence in sentences:
lemmatized_words.append(nlp_utils.lemmatize_sentence(
sentence, nltk.re.compile(''),
min_length=1, max_length=100))
doc_parts = []
itemize = Itemize()
for sentence in lemmatized_words:
new_words = []
itemize.add_item('')
for tagged_word in sentence:
tag = tagged_word[1]
word = tagged_word[0]
singular = pattern.text.en.singularize(word)
word_found = False
# if tag == 'VBD':
# new_words.append(
# '\\colorbox[rgb]{0.5,0.5,0.5}{' + word + '}')
# word_found = True
#
# if tag.startswith('PRP'):
# new_words.append(
# '\\colorbox[rgb]{0.85,0.85,0.85}{' + word + '}')
# word_found = True
for topic_id in self.automatic_context_topic_ids:
if word in self.topic_words_map[topic_id]:
# if singular in context_words[Constants.ITEM_TYPE][topic]:
self.tag_word(word)
color_id = self.automatic_context_topic_colors[topic_id]
color = self.rgb_tuples[color_id]
new_words.append(
'\\colorbox[rgb]{' +
str(color[0]) + ',' + str(color[1]) + ',' +
str(color[2]) + '}{' + word + '}')
word_found = True
break
if not word_found:
new_words.append(word)
itemize.append(NoEscape(' '.join(new_words)))
doc_parts.append(itemize)
return doc_parts
def test_lists():
# Lists
itemize = Itemize()
itemize.add_item(s="item")
itemize.append("append")
repr(itemize)
enum = Enumerate(enumeration_symbol=r"\alph*)", options={'start': 172})
enum.add_item(s="item")
enum.add_item(s="item2")
enum.append("append")
repr(enum)
desc = Description()
desc.add_item(label="label", s="item")
desc.append("append")
repr(desc)
def test_lists():
# Lists
itemize = Itemize()
itemize.add_item(s="item")
itemize.append("append")
repr(itemize)
enum = Enumerate(enumeration_symbol=r"\alph*)", options={'start': 172})
enum.add_item(s="item")
enum.add_item(s="item2")
enum.append("append")
repr(enum)
desc = Description()
desc.add_item(label="label", s="item")
desc.append("append")
repr(desc)
def add_list(self, lists, type=1):
""" 添加列表
:param list lists: 列表名称
:param int type: 列表类型
:return: 无返回值
"""
if type == 1:
items = Itemize()
elif type == 2:
items = Enumerate()
elif type == 3:
items = Description()
else:
items = Itemize()
for item in lists:
items.add_item(item)
self.doc.append(items)
def add_list(self,lists,type=1):
""" 添加列表
:param list lists: 列表名称
:param int type: 列表类型
:return: 无返回值
"""
if type == 1:
items = Itemize()
elif type == 2:
items = Enumerate()
elif type == 3:
items = Description()
else:
items = Itemize()
for item in lists:
items.add_item(item)
self.doc.append(items)
def test_lists():
# Lists
itemize = Itemize()
itemize.add_item(s="item")
itemize.append("append")
repr(itemize)
empty_itemize = Itemize()
assert empty_itemize.dumps() == ''
repr(empty_itemize)
enum = Enumerate()
enum.add_item(s="item")
enum.append("append")
repr(enum)
desc = Description()
desc.add_item(label="label", s="item")
desc.append("append")
repr(desc)
def add_message_to_doc(doc, message):
att_queryset = message.foiattachment_set.filter(
is_redacted=False,
is_converted=False
)
with doc.create(Description()) as descr:
descr.add_item(str(_('From:')), message.real_sender)
descr.add_item(str(_('To:')), message.get_text_recipient())
descr.add_item(str(_('Date:')),
formats.date_format(message.timestamp, "DATETIME_FORMAT"))
descr.add_item(str(_('Via:')), message.get_kind_display())
descr.add_item(str(_('URL:')), message.get_accessible_link())
descr.add_item(str(_('Subject:')), message.subject)
if len(att_queryset):
itemize = Itemize()
for att in att_queryset:
itemize.add_item(att.name)
descr.add_item(str(_('Attachments:')), itemize)
doc.append(NoEscape('\\noindent\\makebox[\\linewidth]{\\rule{\\textwidth}{1pt}}'))
doc.append(LineBreak())
append_text(doc, message.plaintext)
def add_message_to_doc(doc, message):
att_queryset = message.foiattachment_set.filter(
is_redacted=False,
is_converted=False
)
with doc.create(Description()) as descr:
descr.add_item(str(_('From:')), message.real_sender)
descr.add_item(str(_('To:')), message.get_text_recipient())
descr.add_item(str(_('Date:')),
formats.date_format(message.timestamp, "DATETIME_FORMAT"))
descr.add_item(str(_('Via:')), message.get_kind_display())
descr.add_item(str(_('URL:')), message.get_accessible_link())
descr.add_item(str(_('Subject:')), message.subject)
if len(att_queryset):
itemize = Itemize()
for att in att_queryset:
itemize.add_item(att.name)
descr.add_item(str(_('Attachments:')), itemize)
doc.append(NoEscape('\\noindent\\makebox[\\linewidth]{\\rule{\\textwidth}{1pt}}'))
doc.append(LineBreak())
append_text(doc, message.plaintext)
a = Axis(data=None, options=None)
p = Plot(name=None, func=None, coordinates=None, options=None)
# Utils
escape_latex(s='')
fix_filename(path='')
dumps_list(l=[], escape=False, token='\n')
bold(s='')
italic(s='')
verbatim(s='', delimiter='|')
# Lists
itemize = Itemize()
itemize.add_item(s="item")
itemize.append("append")
enum = Enumerate()
enum.add_item(s="item")
enum.append("append")
desc = Description()
desc.add_item(label="label", s="item")
desc.append("append")
alf = al_for("1:10")
alf.append("sdas")
func.add_state(alf)
func.add_state(NoEscape("计算粒子群的速度并计算位置"))
func.add_state(Command("Return", "最优值"))
alc.append(func)
al2, alc = algorithm("改进粒子群算法", "适应度函数", "最优值", core=core, label=["算法", "输入", "输出"])
func = al_function("Particle_Swarm_Optimization", "适应度函数")
func.add_state(NoEscape("初始化参数"))
func.add_state(NoEscape("初始化粒子位置"))
func.add_state(Command("Return", "最优值"))
alc.append(func)
env = Itemize()
env.add_item("系统：Windows 10")
env.add_item("开发工具：PyCharm、VSCode")
env.add_item("编程语言：Python3.7")
env.add_item("Python库：Copy(用于深拷贝), Numpy(用于计算粒子速度和位置), Matplotlib(用于可视化),, mpl_toolkits(用于3D可视化)")
env.add_item("报告编写语言：LaTex（使用PyTex编写生成、XeLaTex编译）")
fg = Itemize() # 分工
fg.add_item(NoEscape("蚁群算法设计：詹荣瑞、安然、刘欢"))
fg.add_item(NoEscape("实验一分析：刘欢"))
fg.add_item(NoEscape("实验二分析：安然"))
fg.add_item(NoEscape("实验三分析：詹荣瑞"))
fg.add_item(NoEscape("报告编写：詹荣瑞、刘欢、安然"))
# 粒子群算法介绍
lzq = (r"粒子群算法(Particle Swarm Optimization,简称PSO)是1995年Eberhart博士和Kennedy博士一起提出的。"
r"粒子群算法是通过模拟鸟群捕食行为设计的一种群智能算法。"
def de_itemize(s: env.Itemize):
tokens = [de_line(c) for c in s.children]
ui = TItem()
for line in tokens:
ui.add_item(line)
return ui
def fromItemize(self, s: Itemize):
tokens = [self.fromTokenLine(c) for c in s.buffer]
ui = TItem()
for line in tokens:
ui.add_item(line)
return ui
a = Axis(data=None, options=None)
p = Plot(name=None, func=None, coordinates=None, options=None)
# Utils
escape_latex(s='')
fix_filename(path='')
dumps_list(l=[], escape=False, token='\n')
bold(s='')
italic(s='')
verbatim(s='', delimiter='|')
# Lists
itemize = Itemize()
itemize.add_item(s="item")
itemize.append("append")
enum = Enumerate()
enum.add_item(s="item")
enum.append("append")
desc = Description()
desc.add_item(label="label", s="item")
desc.append("append")