def main():
allLines = taxonomy.readFile(args.args.file)
num = 1
sentences = [sentence.strip() for sentence in allLines.split('.')]
graphSentenceLength(sentences)
graphSentenceWordUse(sentences)
graphSentenceWordUse(sentences, top=5)
for sentence in sentences:
if len(sentence) > 0:
alreadyDone = taxonomy.word(num)
if alreadyDone == None:
handleSentence(sentence, num)
num += 1
graphSentencePartsOfSpeech(sentences)
def main():
allLines = taxonomy.readFile(args.args.file)
num = 1
sentences = [sentence.strip() for sentence in allLines.split('.')]
for sentence in sentences:
if len(sentence) > 0:
alreadyDone = taxonomy.word(num)
if alreadyDone == None or \
not 'independent' in alreadyDone or \
not 'dependent' in alreadyDone:
handleSentence(sentence, num)
num += 1
graphSentenceClauses(sentences)
graphSentenceKinds(sentences)
def main():
allLines = taxonomy.readFile(args.args.file)
num = 1
sentences = [sentence.strip() for sentence in allLines.split('.')]
for sentence in sentences:
if len(sentence) > 0:
alreadyDone = taxonomy.word(num)
if alreadyDone == None or \
not 'independent' in alreadyDone or \
not 'dependent' in alreadyDone:
handleSentence(sentence, num)
num += 1
graphSentenceClauses(sentences)
graphSentenceKinds(sentences)
def main():
allLines = taxonomy.readFile(args.args.file)
num = 1
sentences = [sentence.strip() for sentence in allLines.split('.')]
graphSentenceLength(sentences)
graphSentenceWordUse(sentences)
graphSentenceWordUse(sentences, top=5)
for sentence in sentences:
if len(sentence) > 0:
alreadyDone = taxonomy.word(num)
if alreadyDone == None:
handleSentence(sentence, num)
num += 1
graphSentencePartsOfSpeech(sentences)
def handleSentence(sentence, num):
sentence = sentence.strip()
words = sentence.split()
wordTypes = []
for i in xrange(0, len(words)):
clearScreen()
before = ' '.join(words[:i]) + ' '
if i == 0:
before = ''
display = before + colorama.Fore.RED + words[i] \
+ colorama.Style.RESET_ALL + ' ' + ' '.join(words[i + 1:])
word = taxonomy.sanitize(words[i])
info = taxonomy.word(word)
print info['definition']
print ''
del info['definition']
del info['_id']
print info
print ''
for j in xrange(1, len(taxonomy.TYPES)):
print j, taxonomy.TYPES[j - 1]
print ''
print display
print ''
res = inp('What kind of word is this? ')
if res == '':
res = info['type'][-1]
else:
res = taxonomy.TYPES[int(res) - 1]
wordTypes.append(res)
if 'type' in info and isinstance(info['type'], list) and \
not res in info['type']:
info['type'].append(res)
else:
info['type'] = [res]
mongo.coll.update_one({'_id': word}, {'$set': {'type': info['type']}}, \
upsert=False)
try:
mongo.coll.insert_one({
'_id': num,
'sentence': words,
'types': wordTypes
})
except Exception as e:
print e
time.sleep(1)
def graphSentenceClauses(sentences):
num = len(sentences) + 1
chart = pygal.StackedBar(print_labels=True)
chart.title = 'Sentence Clauses'
chart.x_labels = map(str, range(1, num))
allClauses = {clause: [] for clause in CLAUSE_KINDS}
for i in xrange(1, num):
sentence = taxonomy.word(i)
for clause in CLAUSE_KINDS:
if sentence[clause] != 0:
sentence[clause] = {'value': sentence[clause], 'label': str(sentence[clause])}
else:
sentence[clause] = {'value': sentence[clause], 'label': ''}
allClauses[clause].append(sentence[clause])
for clause in allClauses:
chart.add(clause, allClauses[clause])
fileName = chart.title.lower().replace(' ', '_')
chart.render_to_png(taxonomy.outdir(fileName + '.png'))
def graphSentenceKinds(sentences):
num = len(sentences) + 1
chart = pygal.StackedBar()
chart.title = 'Kinds Of Sentences'
chart.x_labels = map(str, range(1, num))
allKinds = {kind: [] for kind in SENTENCE_KINDS}
for i in xrange(1, num):
sentence = taxonomy.word(i)
for kind in SENTENCE_KINDS:
if sentence['dependent'] == SENTENCE_KINDS[kind]['dependent'] and \
sentence['independent'] == SENTENCE_KINDS[kind]['independent']:
sentenceKind = {'value': 1, 'label': kind}
else:
sentenceKind = {'value': 0, 'label': ''}
allKinds[kind].append(sentenceKind)
for kind in allKinds:
chart.add(kind, allKinds[kind])
fileName = chart.title.lower().replace(' ', '_')
chart.render_to_png(taxonomy.outdir(fileName + '.png'))
def graphSentenceKinds(sentences):
num = len(sentences) + 1
chart = pygal.StackedBar()
chart.title = 'Kinds Of Sentences'
chart.x_labels = map(str, range(1, num))
allKinds = {kind: [] for kind in SENTENCE_KINDS}
for i in xrange(1, num):
sentence = taxonomy.word(i)
for kind in SENTENCE_KINDS:
if sentence['dependent'] == SENTENCE_KINDS[kind]['dependent'] and \
sentence['independent'] == SENTENCE_KINDS[kind]['independent']:
sentenceKind = {'value': 1, 'label': kind}
else:
sentenceKind = {'value': 0, 'label': ''}
allKinds[kind].append(sentenceKind)
for kind in allKinds:
chart.add(kind, allKinds[kind])
fileName = chart.title.lower().replace(' ', '_')
chart.render_to_png(taxonomy.outdir(fileName + '.png'))
def handleSentence(sentence, num):
sentence = sentence.strip()
words = sentence.split()
wordTypes = []
for i in xrange(0, len(words)):
clearScreen()
before = ' '.join(words[:i]) + ' '
if i == 0:
before = ''
display = before + colorama.Fore.RED + words[i] \
+ colorama.Style.RESET_ALL + ' ' + ' '.join(words[i + 1:])
word = taxonomy.sanitize(words[i])
info = taxonomy.word(word)
print info['definition']
print ''
del info['definition']
del info['_id']
print info
print ''
for j in xrange(1, len(taxonomy.TYPES)):
print j, taxonomy.TYPES[j - 1]
print ''
print display
print ''
res = inp('What kind of word is this? ')
if res == '':
res = info['type'][-1]
else:
res = taxonomy.TYPES[int(res) - 1]
wordTypes.append(res)
if 'type' in info and isinstance(info['type'], list) and \
not res in info['type']:
info['type'].append(res)
else:
info['type'] = [res]
mongo.coll.update_one({'_id': word}, {'$set': {'type': info['type']}}, \
upsert=False)
try:
mongo.coll.insert_one({'_id': num, 'sentence': words, 'types': wordTypes})
except Exception as e:
print e
time.sleep(1)
def graphSentencePartsOfSpeech(sentences):
num = len(sentences) + 1
chart = pygal.StackedBar(print_labels=True)
chart.title = 'Parts of Speech In Sentences'
chart.x_labels = map(str, range(1, num))
allParts = {part: [] for part in taxonomy.TYPES}
for i in xrange(1, num):
sentence = taxonomy.word(i)
counts = {part: 0 for part in taxonomy.TYPES}
for wordType in sentence['types']:
counts[wordType] += 1
for part in counts:
if counts[part] != 0:
counts[part] = {'value': counts[part], 'label': str(counts[part])}
else:
counts[part] = {'value': counts[part], 'label': ''}
allParts[part].append(counts[part])
for part in allParts:
chart.add(part, allParts[part])
fileName = chart.title.lower().replace(' ', '_')
chart.render_to_png(taxonomy.outdir(fileName + '.png'))
def graphSentenceClauses(sentences):
num = len(sentences) + 1
chart = pygal.StackedBar(print_labels=True)
chart.title = 'Sentence Clauses'
chart.x_labels = map(str, range(1, num))
allClauses = {clause: [] for clause in CLAUSE_KINDS}
for i in xrange(1, num):
sentence = taxonomy.word(i)
for clause in CLAUSE_KINDS:
if sentence[clause] != 0:
sentence[clause] = {
'value': sentence[clause],
'label': str(sentence[clause])
}
else:
sentence[clause] = {'value': sentence[clause], 'label': ''}
allClauses[clause].append(sentence[clause])
for clause in allClauses:
chart.add(clause, allClauses[clause])
fileName = chart.title.lower().replace(' ', '_')
chart.render_to_png(taxonomy.outdir(fileName + '.png'))
def main():
word = args.args.word
try:
word = int(word)
except Exception as e:
pass
info = taxonomy.word(word)
if 'definition' in info:
definition = info['definition']
del info['definition']
print definition
print ''
print info
print ''
print info['_id']
if args.args.set != '':
to = args.args.to
try:
to = int(to)
except Exception as e:
pass
mongo.coll.update_one({'_id': info['_id']}, \
{'$set': {args.args.set: to}}, \
upsert=False)
def main():
word = args.args.word
try:
word = int(word)
except Exception as e:
pass
info = taxonomy.word(word)
if 'definition' in info:
definition = info['definition']
del info['definition']
print definition
print ''
print info
print ''
print info['_id']
if args.args.set != '':
to = args.args.to
try:
to = int(to)
except Exception as e:
pass
mongo.coll.update_one({'_id': info['_id']}, \
{'$set': {args.args.set: to}}, \
upsert=False)
def graphSentencePartsOfSpeech(sentences):
num = len(sentences) + 1
chart = pygal.StackedBar(print_labels=True)
chart.title = 'Parts of Speech In Sentences'
chart.x_labels = map(str, range(1, num))
allParts = {part: [] for part in taxonomy.TYPES}
for i in xrange(1, num):
sentence = taxonomy.word(i)
counts = {part: 0 for part in taxonomy.TYPES}
for wordType in sentence['types']:
counts[wordType] += 1
for part in counts:
if counts[part] != 0:
counts[part] = {
'value': counts[part],
'label': str(counts[part])
}
else:
counts[part] = {'value': counts[part], 'label': ''}
allParts[part].append(counts[part])
for part in allParts:
chart.add(part, allParts[part])
fileName = chart.title.lower().replace(' ', '_')
chart.render_to_png(taxonomy.outdir(fileName + '.png'))
