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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def get_product_odata(self, id, full=False):
 """Access OData API to get info about a product. Returns a dict containing the id, title, size, md5sum, date, footprint and download url of the product. The date field corresponds to the Start ContentDate value. If `full` is set to True, then the full, detailed metadata of the product is returned in addition to the above. Parameters id : string The UUID of the product to query full : bool Whether to get the full metadata for the Product. False by default. Returns ------- dict[str, Any] A dictionary with an item for each metadata attribute Notes ----- For a full list of mappings between the OpenSearch (Solr) and OData attribute names see the following definition files: https://github.com/SentinelDataHub/DataHubSystem/blob/master/addon/sentinel-1/src/main/resources/META-INF/sentinel-1.owl https://github.com/SentinelDataHub/DataHubSystem/blob/master/addon/sentinel-2/src/main/resources/META-INF/sentinel-2.owl https://github.com/SentinelDataHub/DataHubSystem/blob/master/addon/sentinel-3/src/main/resources/META-INF/sentinel-3.owl """

        url = urljoin(self.api_url, u"odata/v1/Products('{}')?$format=json".format(id))
        if full:
            url += '&$expand=Attributes'
        response = self.session.get(url, auth=self.session.auth,
                                    timeout=self.timeout)
        _check_scihub_response(response)
        values = _parse_odata_response(response.json()['d'])
        return values