Пример #1
0
    def __init__(self,
                 _db,
                 mirror,
                 user_id,
                 password,
                 uploader=None,
                 soap_client=None):
        self._db = _db

        self.mirror = mirror
        if self.mirror:
            self.scaler = ImageScaler(_db, [self.mirror], uploader=uploader)
        else:
            self.scaler = None

        self.user_id = user_id
        self.password = password
        self.soap_client = (soap_client
                            or ContentCafeSOAPClient(user_id, password))
Пример #2
0
    def __init__(self,
                 collection,
                 uploader=None,
                 viaf_client=None,
                 linked_data_coverage_provider=None,
                 content_cafe_api=None,
                 overdrive_api_class=OverdriveAPI,
                 **kwargs):

        super(IdentifierResolutionCoverageProvider,
              self).__init__(collection, **kwargs)

        # Since we are the metadata wrangler, any resources we find,
        # we mirror to S3.
        if not uploader:
            uploader = S3Uploader.from_config(self._db)
        self.uploader = uploader

        # We're going to be aggressive about recalculating the presentation
        # for this work because either the work is currently not set up
        # at all, or something went wrong trying to set it up.
        self.policy = PresentationCalculationPolicy(
            regenerate_opds_entries=True)

        self.overdrive_api = self.create_overdrive_api(overdrive_api_class)

        self.content_cafe_api = content_cafe_api

        # Determine the optional and required coverage providers.
        # Each Identifier in this Collection's catalog will be run
        # through all relevant providers.
        self.required_coverage_providers, self.optional_coverage_providers = self.providers(
        )

        # When we need to look up a contributor via VIAF we will use this
        # client.
        self.viaf_client = viaf_client or VIAFClient(self._db)

        # Books are not looked up in OCLC Linked Data directly, since
        # there is no Collection that identifies a book by its OCLC Number.
        # However, when a book is looked up through OCLC Classify, some
        # OCLC Numbers may be associated with it, and _those_ numbers
        # can be run through OCLC Linked Data.
        #
        # TODO: We get many books identified by ISBN, and those books
        # _could_ be run through a LinkedDataCoverageProvider if it
        # worked a little differently. However, I don't think this
        # would be very useful, since those books will get looked up
        # through OCLC Classify, which will probably result in us
        # finding that same ISBN via OCLC Number.
        self.oclc_linked_data = (linked_data_coverage_provider
                                 or LinkedDataCoverageProvider(
                                     self._db, viaf_api=self.viaf_client))

        # The ordinary OverdriveBibliographicCoverageProvider
        # doesn't upload images, so we need to create our own
        # mirror and scaler.
        #
        # TODO: This class would be neater if we were to subclass
        # OverdriveBibliographicCoverageProvider to do the scaling and
        # uploading.
        self.image_mirrors = {
            DataSource.OVERDRIVE:
            OverdriveCoverImageMirror(self._db, uploader=uploader)
        }
        self.image_scaler = ImageScaler(self._db,
                                        self.image_mirrors.values(),
                                        uploader=uploader)
Пример #3
0
 def run(self):
     mirrors = [OverdriveCoverImageMirror]
     ImageScaler(self._db, mirrors).run(force=self.force)