def parse_header(parsed_mail, field):
# type: (List[str], str) -> str
decoded = []
raw_header = parsed_mail.get(field, '')
# decode_header does not work well in some case,
# eg. FW: =?ISO-2022-JP?B?GyRCR1s/LklURz0bKEI=?=:
chunks = re.split(r'(=\?[^?]+\?[BQ]\?[^?]+\?=)',
re.sub(r'\r?\n\s+', ' ', raw_header))
i = 0
while i < len(chunks):
if chunks[i].startswith('=?') and chunks[i].endswith('?=') and \
i < len(chunks) - 2 and \
chunks[i + 1] == ' ' and \
chunks[i + 2].startswith('=?') and chunks[i + 2].endswith('?='):
del (chunks[i + 1])
i += 1
for chunk in chunks:
if chunk.find('=?') >= 0:
for decoded_chunk, charset in decode_header(chunk):
if charset:
if charset == 'ISO-2022-JP':
if callable(nkf):
decoded_chunk = nkf('-Jw', decoded_chunk)
charset = 'utf-8'
else:
charset = 'ISO-2022-JP-2004'
decoded_chunk = decoded_chunk \
.replace(b'\033$B', b'\033$(Q') \
.replace(b'\033(J', b'\033(B')
elif charset == 'SJIS':
if callable(nkf):
decoded_chunk = nkf('-Sw', decoded_chunk)
charset = 'utf-8'
else:
charset = 'CP932'
elif charset == 'EUC-JP':
if callable(nkf):
decoded_chunk = nkf('-Ew', decoded_chunk)
charset = 'utf-8'
else:
charset = 'EUCJIS2004'
try:
decoded_chunk = decoded_chunk.decode(
charset, errors='replace')
except TypeError:
pass
else:
decoded_chunk = decoded_chunk.decode()
decoded.append(decoded_chunk)
elif chunk:
decoded.append(chunk)
return ''.join(decoded)
def file_read(file_path):
# ファイルオープン
contents = open(file_path).read()
contents = nkf.nkf("-w -d", contents)\
.decode("utf_8")
return contents
def create_img(name, tenki, kuji, honbun):
global g_pos_y
g_pos_y = 0
img = PIL.Image.new('RGB', (384, 1000), (255,255,255))
date = datetime.datetime.today().strftime("%Y/%m/%d")
# draw_text(img, ' ')
draw_text(img, ' ')
draw_text(img, date, align='center', size=28)
draw_text(img, ' ')
draw_text(img, name + ' 局長殿', align = 'center', size=40)
draw_text(img, ' ')
u = tenki.split('、')
for v in u:
draw_text(img, v, align = 'center', size = 32)
draw_text(img, ' ')
draw_text(img, '================================')
draw_text(img, 'ＫＤＮおみくじ', align='center', size=48)
draw_text(img, '================================')
draw_text(img, ' ')
kuji = kuji.split()
draw_text(img, kuji[0], align='center', size = 36)
draw_text(img, ' ')
draw_text(img, kuji[1], align='center', size = 36)
draw_text(img, ' ')
u = nkf.nkf('-f22', honbun).decode('utf-8').splitlines()
for v in u:
draw_text(img, v, size = 32)
gray = img.convert('L')
img = gray.point(lambda x: 0 if x < 128 else 255)
# img.show()
img.save('output.png')
return img
def decode(text, encoding=None, *args):
if not encoding or encoding in ('ISO-8859-1', 'iso-8859-1'):
encoding = nkf.guess(text)
if encoding in ('BINARY', 'ISO-8859-1'):
encoding = 'utf8'
encoding = normalize_encoding(encoding)
if not encoding in all_encodings:
return nkf.nkf('-w', text).decode('utf8')
return text.decode(encoding, *args)
def process_institution():
institution_rows = []
institution_fields = None
for f in glob.glob("import/catalog/institution*.csv"):
data = normalize(nkf.nkf("-w", open(f, "rb").read()).decode("UTF-8"))
for hyphen in [b"\xe2\x80\x90", b"\xe2\x88\x92"]:
data = data.replace(hyphen.decode("UTF-8"), "-")
def fetch_fields(reader):
for row in reader:
if len(row) > 1:
return row
return None
if sys.version_info.major < 3:
data = data.encode("UTF-8")
readers = [
csv.reader(io.BytesIO(data)),
csv.reader(io.BytesIO(data), dialect="excel-tab")
]
else:
readers = [
csv.reader(io.StringIO(data)),
csv.reader(io.StringIO(data), dialect="excel-tab")
]
for rd in readers:
fields = fetch_fields(rd)
if fields:
if institution_fields is None:
institution_fields = fields
else:
assert institution_fields == fields
for r in rd:
r = [
x.replace("\r\n",
" ").replace("\n", " ").replace("\r",
" ").strip()
for x in r
]
if not is_blank_row(r):
institution_rows.append(r)
break
ids = [r[0] for r in institution_rows]
assert len(ids) == len(set(ids))
outname = "refine/institution.csv"
if sys.version_info.major < 3:
out = csv.writer(open(outname, "wb"))
else:
out = csv.writer(codecs.open(outname, "wb", encoding="UTF-8"))
out.writerow(institution_fields)
[out.writerow(r) for r in institution_rows]
def extract_message(message):
if message.is_multipart():
messages = []
for m in message.get_payload():
extracted = EmailParser.extract_message(m)
if extracted:
if isinstance(extracted, list):
messages.extend(extracted)
else:
messages.append(extracted)
return messages
body = message.get_payload(decode=True)
if not body:
return None
charset = chardet.detect(body)['encoding']
if charset is None:
charset = 'utf-8'
elif charset == 'ISO-2022-JP':
if callable(nkf):
body = nkf('-Jwx', body)
charset = 'utf-8'
else:
charset = 'ISO-2022-JP-2004'
body = body.replace(b'\033$B',
b'\033$(Q').replace(b'\033(J', b'\033(B')
elif charset == 'SHIFT_JIS':
if callable(nkf):
body = nkf('-Swx', body)
charset = 'utf-8'
else:
charset = 'CP932'
elif charset == 'EUC-JP':
if callable(nkf):
body = nkf('-Ew', body)
charset = 'utf-8'
else:
charset = 'EUCJIS2004'
return message['Content-Type'], body.decode(encoding=charset,
errors='replace')
def process_institution():
institution_rows = []
institution_fields = None
for f in glob.glob("import/catalog/institution*.csv"):
data = normalize(nkf.nkf("-w", open(f, "rb").read()).decode("UTF-8"))
for hyphen in [b"\xe2\x80\x90", b"\xe2\x88\x92"]:
data = data.replace(hyphen.decode("UTF-8"), "-")
def fetch_fields(reader):
for row in reader:
if len(row) > 1:
return row
return None
if sys.version_info.major < 3:
data = data.encode("UTF-8")
readers = [csv.reader(io.BytesIO(data)), csv.reader(io.BytesIO(data), dialect="excel-tab")]
else:
readers = [csv.reader(io.StringIO(data)), csv.reader(io.StringIO(data), dialect="excel-tab")]
for rd in readers:
fields = fetch_fields(rd)
if fields:
if institution_fields is None:
institution_fields = fields
else:
assert institution_fields == fields
for r in rd:
r = [x.replace("\r\n", " ").replace("\n"," ").replace("\r"," ").strip() for x in r]
if not is_blank_row(r):
institution_rows.append(r)
break
ids = [r[0] for r in institution_rows]
assert len(ids) == len(set(ids))
outname = "refine/institution.csv"
if sys.version_info.major < 3:
out = csv.writer(open(outname, "wb"))
else:
out = csv.writer(codecs.open(outname, "wb", encoding="UTF-8"))
out.writerow(institution_fields)
[out.writerow(r) for r in institution_rows]
def __init__(
self, iterable, dialect='excel', error_mode="strict", encoding=None,
headers=None, *args, **kwargs
):
if isinstance(iterable, io.StringIO):
assert encoding
self.encoding = encoding
iterable = StringIO.StringIO(iterable.read().encode(encoding))
else:
# force utf8 with nkf module
self.encoding = 'utf8'
iterable = StringIO.StringIO(nkf.nkf('-w', iterable.read()))
self.headers = headers
self.reader = headers and \
csv.reader(iterable, dialect=dialect, *args, **kwargs) or \
csv.DictReader(iterable, dialect=dialect, *args, **kwargs)
self.dialect = self.reader.dialect
self.line_num = 1
self.error_mode = error_mode
def __init__(self,
iterable,
dialect='excel',
error_mode="strict",
encoding=None,
headers=None,
*args,
**kwargs):
if isinstance(iterable, io.StringIO):
assert encoding
self.encoding = encoding
iterable = StringIO.StringIO(iterable.read().encode(encoding))
else:
# force utf8 with nkf module
self.encoding = 'utf8'
iterable = StringIO.StringIO(nkf.nkf('-w', iterable.read()))
self.headers = headers
self.reader = headers and \
csv.reader(iterable, dialect=dialect, *args, **kwargs) or \
csv.DictReader(iterable, dialect=dialect, *args, **kwargs)
self.dialect = self.reader.dialect
self.line_num = 1
self.error_mode = error_mode
def get_pos_detail3(self):
return self.pos_detail3
# Wordクラスの情報出力関数
def print_word(word):
print(word.get_surface())
print(word.get_pos())
print(word.get_pos_detail1())
print(word.get_pos_detail2())
print(word.get_pos_detail3())
# 日本語を標準出力できるように
sys.stdout = codecs.getwriter("utf_8")(sys.stdout)
contents = open("./hoge.txt").read()
contents = nkf.nkf("-w -d", contents)
# 形態素解析する
# 注意：MeCab解析する文字列は必ずencodeされていること．
# 結果は，decodeして使用すること．
# 参考:http://shogo82148.github.io/blog/2012/12/15/mecab-python/
result = MeCab.Tagger("")\
.parse(contents)\
.decode("utf-8")
# 形態素に分解して，word_arrに突っ込む
lines = result.split("\n")
pattern = r"^(.*?)\t(.*?),(.*?),(.*?),(.*?),(.*?),(.*?),(.*?),(.*?),(.*?)$"
doc_arr = []
for line in lines:
word_arr = []
def htmltotext(os_pathname):
html = open(os_pathname).read()
html = nkf.nkf("-w", html)
return elinks(html)
def utf8_cleanup(text):
if isinstance(text, str):
return nkf.nkf("-w", text)
#else
return text.encode("utf-8")
def decode(self, input, errors='strict'):
ret = nkf.nkf('-m0 -x -J -w', input)
ret = unicode(ret, 'utf8', 'replace')
return ret, len(input)
def do(filename):
html = open(filename).read()
html = nkf.nkf("-w", html)
return elinks.extract_from_html(html)
def htmltotext(os_pathname):
html = open(os_pathname).read()
html = nkf.nkf("-w", html)
return elinks(html)
def encode(self, input, errors='strict'):
ret = input.encode('utf8', 'replace')
ret = nkf.nkf('-m0 -x -W -j', ret)
return (ret, len(input))
def pdftotext(os_pathname):
text = process_output(["/usr/bin/pdftotext",os_pathname, "-"])
return nkf.nkf("-w", text)
def text(os_pathname):
if os.stat(os_pathname).st_size > 1024 * 1024 * 10:
return "***TOO LARGE TEXT FILE***"
# else
text = open(os_pathname).read()
return nkf.nkf("-w", text)
def to_hiragana(s):
out = nkf.nkf("-w --hiragana", s)
return out.decode("utf-8")
# Wordクラスの情報出力関数
def print_word(word):
print(word.get_surface())
print(word.get_pos())
print(word.get_pos_detail1())
print(word.get_pos_detail2())
print(word.get_pos_detail3())
# 日本語を標準出力できるように
sys.stdout = codecs.getwriter("utf_8")(sys.stdout)
contents = open("./appry.txt").read()
contents = nkf.nkf("-w -d", contents)
# 形態素解析する
# 注意：MeCab解析する文字列は必ずencodeされていること．
# 結果は，decodeして使用すること．
# 参考:http://shogo82148.github.io/blog/2012/12/15/mecab-python/
result = MeCab.Tagger("")\
.parse(contents)\
.decode("utf-8")
# 形態素をWordクラスにして，その配列を作る
lines = result.split("\n")
pattern = r"^(.*?)\t(.*?),(.*?),(.*?),(.*?),(.*?),(.*?),(.*?),(.*?),(.*?)$"
word_arr = []
for line in lines:
iterator = re.finditer(pattern, line)
def load_mai2009(filename):
text = open(filename).read()
text = nkf.nkf('-w', text)
text = text.rstrip()
return text.decode('utf-8')
def encode(self, input, errors='strict'):
ret = input.encode('utf8', 'replace')
ret = nkf.nkf('-m0 -x -W -s', ret)
return (ret, len(input))
def decode(self, input, errors='strict'):
ret = nkf.nkf('-m0 -x -S -w', input)
ret = unicode(ret, 'utf8', 'replace')
return ret, len(input)