class LawSchema(SchemaClass):
PK = ID(unique=True)
ACTIVE_FLG = BOOLEAN()
ARTICLE = ID()
ARTICLE_HEADING = TEXT(stored=True)
ARTICLE_HISTORY = TEXT(stored=True)
CHAPTER = ID()
CHAPTER_HEADING = TEXT(stored=True)
CODE_HEADING = TEXT(stored=True)
DIVISION = ID()
DIVISION_HEADING = TEXT(stored=True)
EFFECTIVE_DATE = DATETIME(stored=True)
HISTORY = TEXT(stored=True)
LAW_CODE = ID()
LAW_SECTION_VERSION_ID = ID()
LEGAL_TEXT = TEXT(stored=True)
LOB_FILE = ID()
OP_CHAPTER = ID()
OP_SECTION = ID()
OP_STATUES = ID()
PART = ID()
SECTION_HISTORY = TEXT(stored=True)
SECTION_NUM = ID(stored=True)
SECTION_TITLE = TEXT(stored=True)
TITLE = ID()
TRANS_UID = ID()
TRANS_UPDATE = DATETIME()
def get_schema():
return Schema(
id=NUMERIC(stored=True, unique=True, numtype=int),
title=TEXT(stored=True),
content=TEXT(),
correspondent=TEXT(stored=True),
tag=KEYWORD(stored=True, commas=True, scorable=True, lowercase=True),
type=TEXT(stored=True),
created=DATETIME(stored=True, sortable=True),
modified=DATETIME(stored=True, sortable=True),
added=DATETIME(stored=True, sortable=True),
)
def get_schema_tema():
return Schema(titulo=TEXT(stored=True),
link=TEXT(stored=True),
autor=TEXT(stored=True),
fecha=DATETIME(stored=True),
numRespuestas=NUMERIC(stored=True),
numVisitas=NUMERIC(stored=True))
def get_schema_temas():
return Schema(titulo=TEXT(stored=True),
link_tema=ID(unique=True, stored=True),
autor=KEYWORD(stored=True),
fecha=DATETIME(stored=True),
n_respuestas=STORED,
n_visitas=STORED)
def __init__(self, config):
self.schema = Schema(
id=ID(unique=True),
title=TEXT(stored=True, field_boost=3.0, analyzer=StandardAnalyzer() | NgramFilter(minsize=2, maxsize=3)),
author=TEXT(stored=True),
creation_date=DATETIME(stored=True),
pages=STORED,
content=TEXT(stored=True, analyzer=StandardAnalyzer(stoplist=None)),
lang=TEXT(stored=True),
size=STORED,
tags=KEYWORD(stored=True, commas=True)
)
self.index_path = config['WHOOSH_INDEX']
if not os.path.exists(self.index_path):
os.mkdir(self.index_path)
create_in(self.index_path, self.schema)
self.indexer = open_dir(self.index_path)
self.parser_content = MultifieldParser(["title", "content"], schema=self.schema)
self.parser_content.add_plugin(DateParserPlugin())
self.date_format = {
'last_24h': u'-24h to now',
'last_week': u'last week',
'last_month_to_now': u'-1mo to now',
'last_year_to_now': u"[-2yrs to now]"
}
def createSearchableDatafromUrl():
url = "https://wanderinginn.com/2016/07/27/1-00/"
if not os.path.exists("indexdir"):
os.mkdir("indexdir")
schema = Schema(title=TEXT(stored=True), path=ID(stored=True), content=TEXT(stored=True),
textdata=TEXT(stored=True), date=DATETIME(sortable=True), url=ID(stored=True),
wordcount=NUMERIC(stored=True, sortable=True))
ix = create_in("indexdir", schema)
writer = ix.writer()
while True:
currentPage = requests.get(url)
soup = BeautifulSoup(currentPage.content, "lxml")
body = soup.find("div", {"class": "entry-content"})
title = soup.find("h1", {"class": "entry-title"})
p_date = soup.find("time", {"class": "entry-date"})
p_date_converted = datetime.strptime(p_date['datetime'], '%Y-%m-%dT%H:%M:%S+00:00')
url_list = body.find_all('a')
count = len(re.findall(r'\w+', body.text))
print(title.text)
print(url)
print(count)
print(p_date_converted)
writer.add_document(title=title.text, content=body.text, textdata=body.text, date=p_date_converted, url=url,
wordcount=count)
try:
url = url_list[-1].get('href')
except:
writer.commit()
break
def get_schema():
return Schema(titulo=TEXT(stored=True),
tituloOriginal=TEXT(stored=True),
fechaEstreno=DATETIME(stored=True),
director=TEXT(stored=True),
reparto=TEXT,
sinopsis=TEXT)
class IndexMsg:
schema = Schema(
content=TEXT(stored=True, analyzer=ChineseAnalyzer()),
url=ID(stored=True, unique=True),
# for `chat_id` we are using TEXT instead of NUMERIC here, because NUMERIC
# do not support iterating all values of the field
chat_id=TEXT(stored=True),
post_time=DATETIME(stored=True, sortable=True),
sender=TEXT(stored=True),
)
def __init__(self, content: str, url: str, chat_id: Union[int, str],
post_time: datetime, sender: str):
self.content = content
self.url = url
self.chat_id = int(chat_id)
self.post_time = post_time
self.sender = sender
def as_dict(self):
return {
'content': self.content,
'url': self.url,
'chat_id': str(self.chat_id),
'post_time': self.post_time,
'sender': self.sender
}
def __str__(self):
return f'IndexMsg' + ', '.join(f'{k}={repr(v)}'
for k, v in self.as_dict().items())
def _prepare_writer():
schema = Schema(title=TEXT(stored=True),
path=ID(stored=True),
content=KEYWORD,
datetime=DATETIME(stored=True))
ix = create_in(WHOOSH_INDEX_NAME, schema)
return ix.writer()
def almacenar_datos():
schem = Schema(categoria=TEXT(stored=True),
titulo=TEXT(stored=True),
enlaceNoticia=TEXT(stored=True),
descripcion=TEXT(stored=True),
fecha=DATETIME(stored=True))
if os.path.exists("Index"):
shutil.rmtree("Index")
os.mkdir("Index")
ix = create_in("Index", schema=schem)
writer = ix.writer()
i = 0
extraer_noticias()
for j in range(len(titulos)):
writer.add_document(categoria=str(categorias[j]),
titulo=str(titulos[j]),
enlaceNoticia=str(enlacesNoticias[j]),
descripcion=str(descripciones[j]),
fecha=fechas[j])
i += 1
writer.commit()
messagebox.showinfo("Fin de indexado",
"Se han indexado " + str(i) + " noticias")
def get_thread_schema():
return Schema(titulo=TEXT(stored=True),
link=ID(stored=True),
autor=TEXT(stored=True),
fecha=DATETIME(stored=True),
respuestas=STORED,
visitas=STORED)
def fields_map(self, field_type):
if field_type == "primary":
return ID(stored=True, unique=True)
type_map = {
'date': types.Date,
'datetime': types.DateTime,
'boolean': types.Boolean,
'integer': types.Integer,
'float': types.Float
}
if isinstance(field_type, str):
field_type = type_map.get(field_type, types.Text)
if not isinstance(field_type, type):
field_type = field_type.__class__
if issubclass(field_type, (types.DateTime, types.Date)):
return DATETIME(stored=True, sortable=True)
elif issubclass(field_type, types.Integer):
return NUMERIC(stored=True, numtype=int)
elif issubclass(field_type, types.Float):
return NUMERIC(stored=True, numtype=float)
elif issubclass(field_type, types.Boolean):
return BOOLEAN(stored=True)
return TEXT(stored=True, analyzer=self.analyzer, sortable=False)
def almacenar_datos():
# define el esquema de la información
schem = Schema(titulo=TEXT(stored=True),
autor=TEXT(stored=True),
fuente=TEXT(stored=True),
link=ID(stored=True),
fechahora=DATETIME(stored=True),
contenido=TEXT)
# eliminamos el directorio del Ãndice, si existe
if os.path.exists("Index"):
shutil.rmtree("Index")
os.mkdir("Index")
# creamos el Ãndice
ix = create_in("Index", schema=schem)
# creamos un writer para poder añadir documentos al indice
writer = ix.writer()
i = 0
lista = extraer_noticias()
for noticia in lista:
# añade cada noticia de la lista al Ãndice
writer.add_document(titulo=str(noticia[0]),
autor=str(noticia[1]),
fuente=str(noticia[2]),
link=str(noticia[3]),
fechahora=noticia[4],
contenido=str(noticia[5]))
i += 1
writer.commit()
messagebox.showinfo("Fin de indexado",
"Se han indexado " + str(i) + " noticias")
def get_schema():
return Schema(categoria=TEXT(stored=True),
titulo=TEXT(stored=True),
enlace=TEXT(stored=True),
fecha=DATETIME(stored=True),
descripcion=TEXT(stored=True),
nombrefichero=ID(stored=True))
def get_schema():
return Schema(remitente=TEXT(stored=True),
destinatarios=TEXT(stored=True),
fecha=DATETIME(stored=True),
asunto=TEXT(stored=True),
contenido=TEXT(stored=True),
nombrefichero=ID(stored=True))
def almacenar_datos():
schem = Schema(titulo=TEXT(stored=True),
tituloOriginal=TEXT(stored=True),
fechaEstrenoSpain=DATETIME(stored=True),
paises=TEXT(stored=True),
generos=TEXT(stored=True),
director=TEXT(stored=True),
sinopsis=TEXT(stored=True))
if os.path.exists("Index"):
shutil.rmtree("Index")
os.mkdir("Index")
ix = create_in("Index", schema=schem)
writer = ix.writer()
i = 0
extraerDatos()
for j in range(len(titulos)):
writer.add_document(titulo=str(titulos[j]),
tituloOriginal=str(titulosOriginales[j]),
fechaEstrenoSpain=fechaEstrenoSpain[j],
paises=str(paises[j]),
generos=generos[j],
director=str(directores[j]),
sinopsis=str(sinopsis[j]))
i += 1
writer.commit()
messagebox.showinfo("Fin de indexado",
"Se han indexado " + str(i) + " películas")
def create():
""" Create a new Whoosh index.. """
print 'creating new index in directory %s' % DIRECTORY
os.system('rm -rf %s' % DIRECTORY)
os.mkdir(DIRECTORY)
schema = Schema(source=ID(stored=True, unique=True),
cached=ID(stored=True, unique=True),
hash=ID(stored=True, unique=True),
title=TEXT(stored=True),
author=TEXT(stored=True),
year=TEXT(stored=True),
notes=TEXT(stored=True),
text=TEXT(stored=True),
tags=TEXT(stored=True, analyzer=KeywordAnalyzer()),
added=DATETIME(stored=True),
mtime=DATETIME(stored=True))
create_in(DIRECTORY, schema, NAME)
class EventSchema(SchemaClass):
id = NUMERIC(stored=True, unique=True)
title = TEXT(stored=True, analyzer=StemmingAnalyzer(), field_boost=1.5)
description = TEXT(stored=True,
analyzer=StemmingAnalyzer(),
field_boost=1.0)
date = DATETIME(stored=True)
class PhotSchema(SchemaClass):
id = ID(stored=True, unique=True)
created = DATETIME()
title = TEXT(analyzer=custom_analyzer, spelling=True)
short_code = ID(stored=True, unique=True)
disable = BOOLEAN()
tags = TEXT(analyzer=tag_analyzer, spelling=True)
user = ID()
def get_schema():
return Schema(title=TEXT(stored=True),
link=TEXT(stored=True),
autor=TEXT(stored=True),
date=DATETIME(stored=True),
respuestas=TEXT(stored=True),
visitas=TEXT(stored=True),
respuestasText=TEXT(stored=True))
def __init__(self, location):
assert location
self.schema = Schema(uuid=ID(stored=True, unique=True),
sender=TEXT(stored=True),
recipient=TEXT(stored=True),
keywords=TEXT(stored=True),
date=DATETIME(stored=True),
repo_files=STORED)
self.location = location
def make_schema():
return Schema(
paper_field=KEYWORD(stored=True, lowercase=True, scorable=True),
title=TEXT(stored=True, analyzer=StemmingAnalyzer()),
authors=KEYWORD(stored=True, lowercase=True),
pdf=ID(stored=True),
abstract=TEXT(stored=True, analyzer=StemmingAnalyzer()),
date=DATETIME(stored=True),
)
def init_extensions(app):
global use_cache
whoosh_searcher.init_app(app)
configure_uploads(app, upload_photos)
mail.init_app(app)
admin.init_app(app)
mongo.init_app(app, "MONGO")
oauth.init_app(app)
login_manager.init_app(app)
# use_cache = app.config.get('USE_CACHE', False)
# if use_cache:
# cache.init_app(app, {})
with app.app_context():
# 添加flask-admin视图
admin.add_view(admin_view.RolesModelView(mongo.db['roles'], '角色管理'))
admin.add_view(admin_view.UsersModelView(mongo.db['users'], '用户管理'))
admin.add_view(
admin_view.CatalogsModelView(mongo.db['catalogs'],
'栏目管理',
category='内容管理'))
admin.add_view(
admin_view.PostsModelView(mongo.db['posts'],
'帖子管理',
category='内容管理'))
admin.add_view(
admin_view.PassagewaysModelView(mongo.db['passageways'],
'温馨通道',
category='推广管理'))
admin.add_view(
admin_view.FriendLinksModelView(mongo.db['friend_links'],
'友链管理',
category='推广管理'))
admin.add_view(
admin_view.PagesModelView(mongo.db['pages'],
'页面管理',
category='推广管理'))
admin.add_view(
admin_view.FooterLinksModelView(mongo.db['footer_links'],
'底部链接',
category='推广管理'))
admin.add_view(
admin_view.AdsModelView(mongo.db['ads'], '广告管理', category='推广管理'))
admin.add_view(admin_view.OptionsModelView(mongo.db['options'],
'系统设置'))
# 初始化Whoosh索引
chinese_analyzer = ChineseAnalyzer()
post_schema = Schema(obj_id=ID(unique=True, stored=True),
title=TEXT(stored=True,
analyzer=chinese_analyzer),
content=TEXT(stored=True,
analyzer=chinese_analyzer),
create_at=DATETIME(stored=True),
catalog_id=ID(stored=True),
user_id=ID(stored=True))
whoosh_searcher.add_index('posts', post_schema)
def get_schema():
return Schema(numeroJornada=NUMERIC(stored=True),
local=TEXT(stored=True),
visitante=TEXT(stored=True),
golesLocales=NUMERIC,
golesVisitantes=NUMERIC,
fecha=DATETIME(stored=True),
autor=TEXT,
titulo=TEXT(stored=True),
cronica=TEXT)
def get_schema():
return Schema(
id=NUMERIC(stored=True, unique=True),
title=TEXT(sortable=True),
content=TEXT(),
asn=NUMERIC(sortable=True),
correspondent=TEXT(sortable=True),
correspondent_id=NUMERIC(),
has_correspondent=BOOLEAN(),
tag=KEYWORD(commas=True, scorable=True, lowercase=True),
tag_id=KEYWORD(commas=True, scorable=True),
has_tag=BOOLEAN(),
type=TEXT(sortable=True),
type_id=NUMERIC(),
has_type=BOOLEAN(),
created=DATETIME(sortable=True),
modified=DATETIME(sortable=True),
added=DATETIME(sortable=True),
)
def get_schema():
analyzer = StemmingAnalyzer(stoplist=STOP) | StopFilter(stoplist=STOP)
schema = Schema(title=TEXT(analyzer=analyzer, stored=True, sortable=True),
content=TEXT(analyzer=analyzer, stored=True,
sortable=True),
tags=KEYWORD(commas=True, stored=True),
author=TEXT(stored=True),
uid=ID(unique=True, stored=True),
lastedit_date=DATETIME(sortable=True, stored=True))
return schema
def get_schema():
return Schema(jornada=TEXT(stored=True),
local=TEXT(stored=True),
visitante=TEXT(stored=True),
resultado=TEXT(stored=True),
fecha=DATETIME(stored=True),
autor=TEXT(stored=True),
titular=TEXT(stored=True),
titulo=TEXT(stored=True),
texto=TEXT)
def build_schema(self, fields):
schema_fields = {
ID: WHOOSH_ID(stored=True, unique=True),
DJANGO_CT: WHOOSH_ID(stored=True),
DJANGO_ID: WHOOSH_ID(stored=True),
}
# Grab the number of keys that are hard-coded into Haystack.
# We'll use this to (possibly) fail slightly more gracefully later.
initial_key_count = len(schema_fields)
content_field_name = ''
for field_name, field_class in fields.items():
if field_class.is_multivalued:
if field_class.indexed is False:
schema_fields[field_class.index_fieldname] = IDLIST(stored=True, field_boost=field_class.boost)
else:
schema_fields[field_class.index_fieldname] = KEYWORD(stored=True, commas=True, scorable=True,
field_boost=field_class.boost)
elif field_class.field_type in ['date', 'datetime']:
schema_fields[field_class.index_fieldname] = DATETIME(stored=field_class.stored, sortable=True)
elif field_class.field_type == 'integer':
schema_fields[field_class.index_fieldname] = NUMERIC(stored=field_class.stored, numtype=int,
field_boost=field_class.boost)
elif field_class.field_type == 'float':
schema_fields[field_class.index_fieldname] = NUMERIC(stored=field_class.stored, numtype=float,
field_boost=field_class.boost)
elif field_class.field_type == 'boolean':
# Field boost isn't supported on BOOLEAN as of 1.8.2.
schema_fields[field_class.index_fieldname] = BOOLEAN(stored=field_class.stored)
elif field_class.field_type == 'ngram':
schema_fields[field_class.index_fieldname] = NGRAM(minsize=3, maxsize=15, stored=field_class.stored,
field_boost=field_class.boost)
elif field_class.field_type == 'edge_ngram':
schema_fields[field_class.index_fieldname] = NGRAMWORDS(minsize=2, maxsize=15, at='start',
stored=field_class.stored,
field_boost=field_class.boost)
else:
# schema_fields[field_class.index_fieldname] = TEXT(stored=True, analyzer=StemmingAnalyzer(), field_boost=field_class.boost, sortable=True)
# 中文分词
schema_fields[field_class.index_fieldname] = TEXT(stored=True, analyzer=ChineseAnalyzer(),
field_boost=field_class.boost, sortable=True)
if field_class.document is True:
content_field_name = field_class.index_fieldname
schema_fields[field_class.index_fieldname].spelling = True
# Fail more gracefully than relying on the backend to die if no fields
# are found.
if len(schema_fields) <= initial_key_count:
raise SearchBackendError(
"No fields were found in any search_indexes. Please correct this before attempting to search.")
return (content_field_name, Schema(**schema_fields))
class NoteSchema(SchemaClass):
id = ID(stored=True, unique=True)
created = DATETIME()
title = TEXT(analyzer=custom_analyzer, spelling=True)
contents = TEXT(spelling=True)
public = BOOLEAN()
draft = BOOLEAN()
short_code = ID(stored=True, unique=True)
disable = BOOLEAN()
reported = BOOLEAN()
tags = TEXT(analyzer=tag_analyzer, spelling=True)
user = ID()
def get_index():
ixname = "search-index"
if os.path.isdir(ixname):
from whoosh.index import open_dir
ix = open_dir(ixname)
else:
schema = Schema(title=TEXT(stored=True),
url=ID(stored=True, unique=True),
content=TEXT(stored=True),
modified=DATETIME(sortable=True))
os.mkdir(ixname)
ix = create_in(ixname, schema)
return ix