Python SentinelAPI.get_products_size方法代码示例

# 需要导入模块: from sentinelsat.sentinel import SentinelAPI [as 别名]
# 或者: from sentinelsat.sentinel.SentinelAPI import get_products_size [as 别名]
def test_SentinelAPI_wrong_credentials():
    api = SentinelAPI(
        "wrong_user",
        "wrong_password"
        )
    api.query('0 0,1 1,0 1,0 0', datetime(2015, 1, 1), datetime(2015, 1, 2))
    assert api.content.status_code == 401

    with pytest.raises(ValueError):
        api.get_products_size()
        api.get_products()

# 需要导入模块: from sentinelsat.sentinel import SentinelAPI [as 别名]
# 或者: from sentinelsat.sentinel.SentinelAPI import get_products_size [as 别名]
def test_get_products_size():
    api = SentinelAPI(**_api_auth)
    api.query(
        get_coordinates('tests/map.geojson'),
        "20151219", "20151228", platformname="Sentinel-2"
    )
    assert api.get_products_size() == 63.58

    # reset products
    api.products = []
    # load new very small query
    api.load_query("S1A_WV_OCN__2SSH_20150603T092625_20150603T093332_006207_008194_521E")
    assert len(api.get_products()) > 0
    # Rounded to zero
    assert api.get_products_size() == 0

# 需要导入模块: from sentinelsat.sentinel import SentinelAPI [as 别名]
# 或者: from sentinelsat.sentinel.SentinelAPI import get_products_size [as 别名]
def test_get_products_size():
    api = SentinelAPI(
        environ.get('SENTINEL_USER'),
        environ.get('SENTINEL_PASSWORD')
        )
    api.query(
        get_coordinates('tests/map.geojson'),
        "20151219", "20151228", platformname="Sentinel-2"
        )
    assert api.get_products_size() == 63.58

# 需要导入模块: from sentinelsat.sentinel import SentinelAPI [as 别名]
# 或者: from sentinelsat.sentinel.SentinelAPI import get_products_size [as 别名]
def search(
        user, password, geojson, start, end, download, md5,
        sentinel1, sentinel2, cloud, footprints, path, query, url):
    """Search for Sentinel products and, optionally, download all the results
    and/or create a geojson file with the search result footprints.
    Beyond your SciHub user and password, you must pass a geojson file
    containing the polygon of the area you want to search for. If you
    don't specify the start and end dates, it will search in the last 24 hours.
    """
    api = SentinelAPI(user, password, url)

    search_kwargs = {}
    if cloud:
        search_kwargs.update(
            {"platformname": "Sentinel-2",
            "cloudcoverpercentage": "[0 TO %s]" % cloud})
    elif sentinel2:
        search_kwargs.update({"platformname": "Sentinel-2"})
    elif sentinel1:
        search_kwargs.update({"platformname": "Sentinel-1"})

    if query is not None:
        search_kwargs.update(dict([i.split('=') for i in query.split(',')]))

    api.query(get_coordinates(geojson), start, end, **search_kwargs)

    if footprints is True:
        footprints_geojson = api.get_footprints()
        with open(os.path.join(path, "search_footprints.geojson"), "w") as outfile:
            outfile.write(gj.dumps(footprints_geojson))

    if download is True:
        result = api.download_all(path, checksum=md5)
        if md5 is True:
            corrupt_scenes = [(path, info["id"]) for path, info in result.items() if info is not None]
            if len(corrupt_scenes) > 0:
                with open(os.path.join(path, "corrupt_scenes.txt"), "w") as outfile:
                    for corrupt_tuple in corrupt_scenes:
                        outfile.write("%s : %s\n" % corrupt_tuple)
    else:
        for product in api.get_products():
            print('Product %s - %s' % (product['id'], product['summary']))
        print('---')
        print(
            '%s scenes found with a total size of %.2f GB' %
            (len(api.get_products()), api.get_products_size()))

# 需要导入模块: from sentinelsat.sentinel import SentinelAPI [as 别名]
# 或者: from sentinelsat.sentinel.SentinelAPI import get_products_size [as 别名]
def search(
        user, password, geojson, start, end, download, md5, sentinel, producttype,
        instrument, sentinel1, sentinel2, cloud, footprints, path, query, url):
    """Search for Sentinel products and, optionally, download all the results
    and/or create a geojson file with the search result footprints.
    Beyond your SciHub user and password, you must pass a geojson file
    containing the polygon of the area you want to search for. If you
    don't specify the start and end dates, it will search in the last 24 hours.
    """

    api = SentinelAPI(user, password, url)

    search_kwargs = {}
    if sentinel and not (producttype or instrument):
        search_kwargs.update({"platformname": "Sentinel-" + sentinel})

    if instrument and not producttype:
        search_kwargs.update({"instrumentshortname": instrument})

    if producttype:
        search_kwargs.update({"producttype": producttype})

    if cloud:
        if sentinel not in ['2', '3']:
            logger.error('Cloud cover is only supported for Sentinel 2 and 3.')
            raise ValueError('Cloud cover is only supported for Sentinel 2 and 3.')
        search_kwargs.update({"cloudcoverpercentage": "[0 TO %s]" % cloud})

    # DEPRECATED: to be removed with next major release
    elif sentinel2:
        search_kwargs.update({"platformname": "Sentinel-2"})
        logger.info('DEPRECATED: Please use --sentinel instead')

    # DEPRECATED: to be removed with next major release
    elif sentinel1:
        search_kwargs.update({"platformname": "Sentinel-1"})
        logger.info('DEPRECATED: Please use --sentinel instead')

    if query is not None:
        search_kwargs.update(dict([i.split('=') for i in query.split(',')]))

    wkt = geojson_to_wkt(read_geojson(geojson))
    products = api.query(wkt, start, end, **search_kwargs)

    if footprints is True:
        footprints_geojson = api.to_geojson(products)
        with open(os.path.join(path, "search_footprints.geojson"), "w") as outfile:
            outfile.write(gj.dumps(footprints_geojson))

    if download is True:
        product_infos, failed_downloads = api.download_all(products, path, checksum=md5)
        if md5 is True:
            if len(failed_downloads) > 0:
                with open(os.path.join(path, "corrupt_scenes.txt"), "w") as outfile:
                    for failed_id in failed_downloads:
                        outfile.write("%s : %s\n" % (failed_id, products[failed_id]['title']))
    else:
        for product_id, props in products.items():
            logger.info('Product %s - %s' % (product_id, props['summary']))
        logger.info('---')
        logger.info(
            '%s scenes found with a total size of %.2f GB' %
            (len(products), api.get_products_size(products)))

# 需要导入模块: from sentinelsat.sentinel import SentinelAPI [as 别名]
# 或者: from sentinelsat.sentinel.SentinelAPI import get_products_size [as 别名]
def cli(user, password, geometry, start, end, uuid, name, download, sentinel, producttype,
        instrument, cloud, footprints, path, query, url, order_by, limit):
    """Search for Sentinel products and, optionally, download all the results
    and/or create a geojson file with the search result footprints.
    Beyond your Copernicus Open Access Hub user and password, you must pass a geojson file
    containing the geometry of the area you want to search for or the UUIDs of the products. If you
    don't specify the start and end dates, it will search in the last 24 hours.
    """

    _set_logger_handler()

    api = SentinelAPI(user, password, url)

    search_kwargs = {}
    if sentinel and not (producttype or instrument):
        search_kwargs["platformname"] = "Sentinel-" + sentinel

    if instrument and not producttype:
        search_kwargs["instrumentshortname"] = instrument

    if producttype:
        search_kwargs["producttype"] = producttype

    if cloud:
        if sentinel not in ['2', '3']:
            logger.error('Cloud cover is only supported for Sentinel 2 and 3.')
            raise ValueError('Cloud cover is only supported for Sentinel 2 and 3.')
        search_kwargs["cloudcoverpercentage"] = (0, cloud)

    if query is not None:
        search_kwargs.update((x.split('=') for x in query.split(',')))

    if geometry is not None:
        search_kwargs['area'] = geojson_to_wkt(read_geojson(geometry))

    if uuid is not None:
        uuid_list = [x.strip() for x in uuid.split(',')]
        products = {}
        for productid in uuid_list:
            try:
                products[productid] = api.get_product_odata(productid)
            except SentinelAPIError as e:
                if 'Invalid key' in e.msg:
                    logger.error('No product with ID \'%s\' exists on server', productid)
    elif name is not None:
        search_kwargs["identifier"] = name
        products = api.query(order_by=order_by, limit=limit, **search_kwargs)
    else:
        start = start or "19000101"
        end = end or "NOW"
        products = api.query(date=(start, end),
                             order_by=order_by, limit=limit, **search_kwargs)

    if footprints is True:
        footprints_geojson = api.to_geojson(products)
        with open(os.path.join(path, "search_footprints.geojson"), "w") as outfile:
            outfile.write(gj.dumps(footprints_geojson))

    if download is True:
        product_infos, failed_downloads = api.download_all(products, path)
        if len(failed_downloads) > 0:
            with open(os.path.join(path, "corrupt_scenes.txt"), "w") as outfile:
                for failed_id in failed_downloads:
                    outfile.write("%s : %s\n" % (failed_id, products[failed_id]['title']))
    else:
        for product_id, props in products.items():
            if uuid is None:
                logger.info('Product %s - %s', product_id, props['summary'])
            else:  # querying uuids has no summary key
                logger.info('Product %s - %s - %s MB', product_id, props['title'],
                            round(int(props['size']) / (1024. * 1024.), 2))
        if uuid is None:
            logger.info('---')
            logger.info('%s scenes found with a total size of %.2f GB',
                        len(products), api.get_products_size(products))