示例#1
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class _DefaultSearchSchema(SchemaClass):
    """
  General search schema
  """
    object_key = ID(stored=True, unique=True)
    id = NUMERIC(numtype=int, bits=64, signed=False, stored=True, unique=False)
    object_type = ID(stored=True, unique=False)
    creator = ID(stored=True)
    owner = ID(stored=True)

    #: security index. This list roles and user/group ids allowed to *see* this
    #: content
    allowed_roles_and_users = KEYWORD(stored=True)

    #: tags indexing
    tag_ids = KEYWORD(stored=True)
    tag_text = TEXT(stored=False, analyzer=accent_folder)

    # hierarchical index of ids path ('/' is the separator)
    parent_ids = FieldType(format=Existence(),
                           analyzer=PathTokenizer(),
                           stored=True,
                           unique=False)

    name = TEXT(stored=True, analyzer=accent_folder)
    slug = ID(stored=True)
    description = TEXT(stored=True, analyzer=accent_folder)
    text = TEXT(stored=False, analyzer=accent_folder)
示例#2
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    def _schema(self):
        # Creates a schema given this object's mingram and maxgram attributes.

        from whoosh.fields import Schema, FieldType, ID, STORED
        from whoosh.formats import Frequency
        from whoosh.analysis import SimpleAnalyzer

        idtype = ID()
        freqtype = FieldType(Frequency(), SimpleAnalyzer())

        fls = [("word", STORED), ("score", STORED)]
        for size in xrange(self.mingram, self.maxgram + 1):
            fls.extend([("start%s" % size, idtype), ("end%s" % size, idtype),
                        ("gram%s" % size, freqtype)])

        return Schema(**dict(fls))
示例#3
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                           FieldType, DATETIME)

# CUSTOM ANALYZER wordsplit + lowercase filter for case insensitive search
ANALYZER = RegexTokenizer(expression=r"\w+") | LowercaseFilter()

# FILE INDEX SCHEMA DEFINITION
FILE_INDEX_NAME = 'FILE_INDEX'
FILE_SCHEMA = Schema(
    fileid=ID(unique=True),  # Path
    repository=ID(stored=True),
    repository_id=NUMERIC(unique=True, stored=True),  # Numeric id of repo
    repo_name=TEXT(stored=True),
    owner=TEXT(),
    path=TEXT(stored=True),
    content=FieldType(format=Characters(),
                      analyzer=ANALYZER,
                      scorable=True,
                      stored=True),
    modtime=STORED(),
    md5=STORED(),
    extension=ID(stored=True),
    commit_id=TEXT(stored=True),
    size=NUMERIC(stored=True),
    mimetype=TEXT(stored=True),
    lines=NUMERIC(stored=True),
)

# COMMIT INDEX SCHEMA
COMMIT_INDEX_NAME = 'COMMIT_INDEX'
COMMIT_SCHEMA = Schema(
    commit_id=ID(unique=True, stored=True),
    repository=ID(unique=True, stored=True),