How to use the memorious.core.storage function in memorious

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github alephdata / memorious / memorious / logic / context.py View on Github external
def store_file(self, file_path, content_hash=None):
        """Put a file into permanent storage so it can be visible to other
        stages."""
        return storage.archive_file(file_path, content_hash=content_hash)
github alephdata / memorious / memorious / logic / http.py View on Github external
return self._file_path
        temp_path = self.context.work_path
        if self._content_hash is not None:
            self._file_path = storage.load_file(self._content_hash,
                                                temp_path=temp_path)
            return self._file_path
        if self.response is not None:
            self._file_path = random_filename(temp_path)
            content_hash = sha1()
            with open(self._file_path, 'wb') as fh:
                for chunk in self.response.iter_content(chunk_size=8192):
                    content_hash.update(chunk)
                    fh.write(chunk)
            self._remove_file = True
            chash = content_hash.hexdigest()
            self._content_hash = storage.archive_file(self._file_path,
                                                      content_hash=chash)
            if self.http.cache and self.ok:
                self.context.set_tag(self.request_id, self.serialize())
            self.retrieved_at = datetime.utcnow().isoformat()
        return self._file_path
github alephdata / memorious / memorious / logic / context.py View on Github external
def load_file(self, content_hash, file_name=None, read_mode='rb'):
        file_path = storage.load_file(content_hash,
                                      file_name=file_name,
                                      temp_path=self.work_path)
        if file_path is None:
            yield None
        else:
            try:
                with open(file_path, mode=read_mode) as fh:
                    yield fh
            finally:
                storage.cleanup_file(content_hash,
                                     temp_path=self.work_path)