Beispiel #1
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def test_api_query_format_escape_spaces():
    query = SentinelAPI.format_query(ingestiondate=('NOW-1DAY', 'NOW'))
    assert query == 'ingestiondate:[NOW-1DAY TO NOW]'

    query = SentinelAPI.format_query(ingestiondate='[NOW-1DAY TO NOW]')
    assert query == 'ingestiondate:[NOW-1DAY TO NOW]'

    query = SentinelAPI.format_query(ingestiondate=' [NOW-1DAY TO NOW] ')
    assert query == 'ingestiondate:[NOW-1DAY TO NOW]'

    query = SentinelAPI.format_query(relativeorbitnumber=' {101 TO 103} ')
    assert query == 'relativeorbitnumber:{101 TO 103}'

    query = SentinelAPI.format_query(filename='S3A_OL_2* ')
    assert query == 'filename:S3A_OL_2*'

    query = SentinelAPI.format_query(timeliness='Non Time Critical')
    assert query == r'timeliness:Non\ Time\ Critical'

    query = SentinelAPI.format_query(timeliness='Non\tTime\tCritical')
    assert query == r'timeliness:Non\ Time\ Critical'

    api = SentinelAPI(**_api_auth)
    assert api.count(timeliness='Non Time Critical') > 0

    # Allow for regex weirdness
    query = SentinelAPI.format_query(timeliness='.+ Critical')
    assert query == r'timeliness:.+\ Critical'
    assert api.count(timeliness='.+ Critical') > 0

    query = SentinelAPI.format_query(identifier='/S[123 ]A.*/')
    assert query == r'identifier:/S[123 ]A.*/'
    assert api.count(identifier='/S[123 ]A.*/') > 0
Beispiel #2
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def test_unicode_support():
    api = SentinelAPI(**_api_kwargs)
    test_str = u'٩(●̮̮̃•̃)۶:'

    with pytest.raises(SentinelAPIError) as excinfo:
        api.count(raw=test_str)
    assert test_str == excinfo.value.response.json(
    )['feed']['opensearch:Query']['searchTerms']

    with pytest.raises(SentinelAPIError) as excinfo:
        api.get_product_odata(test_str)
    assert test_str in excinfo.value.response.json(
    )['error']['message']['value']
Beispiel #3
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def test_quote_symbol_bug():
    # A test to check if plus symbol handling works correctly on the server side
    # It used to raise an error but has since been fixed
    # https://github.com/SentinelDataHub/DataHubSystem/issues/23
    api = SentinelAPI(**_api_kwargs)

    q = 'beginposition:[2017-05-30T00:00:00Z TO 2017-05-31T00:00:00Z+1DAY]'
    count = api.count(raw=q)
    assert count > 0
Beispiel #4
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def test_quote_symbol_bug():
    # A test to check if plus symbol handling works correctly on the server side
    # It used to raise an error but has since been fixed
    # https://github.com/SentinelDataHub/DataHubSystem/issues/23
    api = SentinelAPI(**_api_kwargs)

    q = 'beginposition:[2017-05-30T00:00:00Z TO 2017-05-31T00:00:00Z+1DAY]'
    count = api.count(raw=q)
    assert count > 0
def job():
    #Checking Sentinel data on SciHub, based on search requirements
    api = SentinelAPI(oah_user, oah_pass,
                      'https://apihub.copernicus.eu/apihub/')
    count = api.count(area=wkt,
                      date=(start_date, end_date),
                      platformname=platformname,
                      area_relation='Contains',
                      raw=None,
                      cloudcoverpercentage=(min_cloud, max_cloud),
                      limit=20,
                      processinglevel=processinglevel)
    now = datetime.now()
    now = now.strftime("%d/%m/%Y %H:%M:%S")
    print(now + ' - Checking for new data')

    if count > 0:
        # Write available image data to dataframe
        products = api.query(area=wkt,
                             date=(start_date, end_date),
                             platformname=platformname,
                             area_relation='Contains',
                             raw=None,
                             cloudcoverpercentage=(min_cloud, max_cloud),
                             limit=20,
                             processinglevel=processinglevel)
        products_df = api.to_dataframe(products)
        detail = products_df.iat[0, 4]

        # Get and format important data of satellite imagery
        img_sat = products_df.iloc[0, 36]  # Get satellite name
        img_proc_lvl = products_df.iloc[0, 37]  # Get image processing level
        img_date = products_df.iloc[0, 4][6:16]  # Get acquisition date
        img_time = products_df.iloc[0, 4][17:25]  # Get acquisition time
        img_cloud = str(products_df.iloc[0,
                                         21])[:5] + ' %'  # Get cloud coverage

        #Prepare e-mail content
        subject = "New satellite image available - " + img_date
        body = "Properites if the new satellite imagery is the following.\n\n" + 'Satellite: ' + img_sat + '\n' + 'Processing level: ' + img_proc_lvl + '\n' + 'Timestamp of imagery: ' + img_date + ', ' + img_time + '\n' + 'Cloud cover percentage: ' + img_cloud
        message = f'Subject:{subject}\n\n{body}'

        #Send e-mail and go to sleep
        context = ssl.create_default_context()
        with smtplib.SMTP_SSL(smtp_server, port, context=context) as server:
            server.login(sender_email, password)
            server.sendmail(sender_email, receiver_email,
                            message.encode("utf8"))
        now = datetime.now()
        now = now.strftime("%d/%m/%Y %H:%M:%S")
        print(now + ' - Mail has been sent')
        time.sleep(82800)  #23 hours
        return
    else:
        # If no new image available, print message
        print(now + ' - There is no new data available')
        return
Beispiel #6
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def search_download_sen2_data(user, password, area_polygon, datum, cloudcover,
                              downloadpath):
    from sentinelsat import SentinelAPI, read_geojson, geojson_to_wkt
    import zipfile
    import os
    import geopandas as gpd
    # connect to API
    api = SentinelAPI(user,
                      password,
                      api_url="https://scihub.copernicus.eu/apihub/")

    #### Test
    outlines_geojson = gpd.read_file("outlines.shp")

    # Avoid Fiona Bug https://github.com/Toblerity/Fiona/issues/438
    try:
        os.remove("outline.geojson")
    except OSError:
        pass
    outlines_geojson.to_file("outline.geojson", driver="GeoJSON")
    area_polygon = "outline.geojson"
    ##### End test

    # Search for products matching query
    products = api.query(area=geojson_to_wkt(read_geojson(area_polygon)),
                         date=datum,
                         platformname="Sentinel-2",
                         producttype="S2MSI1C",
                         cloudcoverpercentage=cloudcover)

    # count number of products matching query
    print(
        "Tiles found:",
        api.count(area=geojson_to_wkt(read_geojson(area_polygon)),
                  date=datum,
                  platformname="Sentinel-2",
                  producttype="S2MSI1C",
                  cloudcoverpercentage=cloudcover), ", Total size: ",
        api.get_products_size(products), "GB. Now downloading those tiles")

    # downloading all products
    download_zip = api.download_all(products, directory_path=downloadpath)

    # Unzip files, delete

    for key in download_zip[0].keys():
        with zipfile.ZipFile(download_zip[0][key]['path']) as zip_file:
            for member in zip_file.namelist():
                filename = os.path.basename(member)
                if not filename:
                    continue
                source = zip_file.open(member)
            source.close()

        os.remove(download_zip[0][key]['path'])
Beispiel #7
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def test_order_by():
    api = SentinelAPI(**_api_auth)
    kwargs = dict(area=geojson_to_wkt(
        read_geojson(FIXTURES_DIR + '/map.geojson')),
                  date=("20151219", "20161019"),
                  platformname="Sentinel-2",
                  cloudcoverpercentage=(0, 10),
                  order_by="cloudcoverpercentage, -beginposition")
    # Check that order_by works correctly also in cases where pagination is required
    expected_count = api.count(**kwargs)
    assert expected_count > 100
    products = api.query(**kwargs)
    assert len(products) == expected_count
    vals = [x["cloudcoverpercentage"] for x in products.values()]
    assert sorted(vals) == vals
Beispiel #8
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def test_too_long_query():
    api = SentinelAPI(**_api_kwargs)

    # Test whether our limit calculation is reasonably correct and
    # that a relevant error message is provided

    def create_query(n):
        return " a_-.*:,?+~!" * n

    # Expect no error
    q = create_query(164)
    assert 0.99 < SentinelAPI.check_query_length(q) < 1.0
    with pytest.raises(SentinelAPIError) as excinfo:
        api.count(raw=q)
    assert "Invalid query string" in excinfo.value.msg

    # Expect HTTP status 500 Internal Server Error
    q = create_query(165)
    assert 1.0 <= SentinelAPI.check_query_length(q) < 1.01
    with pytest.raises(SentinelAPIError) as excinfo:
        api.count(raw=q)
    assert excinfo.value.response.status_code == 500
    assert ("Request Entity Too Large" in excinfo.value.msg
            or "Request-URI Too Long" in excinfo.value.msg)
def job():
    #Sentinel műholdképek keresése SciHub-on, keresési kritériumok alapján
    api = SentinelAPI(oah_user,oah_pass, 'https://apihub.copernicus.eu/apihub/')
    count=api.count(area=wkt, date=(start_date, end_date), platformname=platformname,area_relation='Contains',raw=None,cloudcoverpercentage=(min_cloud,max_cloud),limit=20, processinglevel = processinglevel)
    now = datetime.now()
    now = now.strftime("%d/%m/%Y %H:%M:%S")
    print(now+' - Új adat keresése')
    

    if count>0:
        # Elérhető műholdképek adatainak dataframe-be írása
        products = api.query(area=wkt, date=(start_date, end_date), platformname=platformname,area_relation='Contains',raw=None,cloudcoverpercentage=(min_cloud,max_cloud),limit=20, processinglevel = processinglevel)
        products_df = api.to_dataframe(products)
        detail=products_df.iat[0,4]
        
        # E-mailbe írandó adatok formázása
        img_sat=products_df.iloc[0,36] # Műhold név
        img_proc_lvl=products_df.iloc[0,37] # Feldolgozási szint
        img_date=products_df.iloc[0,4][6:16] # Felvétel rögzítésének dátuma
        img_time=products_df.iloc[0,4][17:25] # Felvétel rögzítésének időpontja
        img_cloud=str(products_df.iloc[0,21])[:5]+' %' # Felvétel felhőzöttsége
              
        #E-mail tartalom előkészítése
        subject="Új műholdkép - "+img_date
        body="A vizsgált területről készült új műholdkép adatai.\n\n"+'Műhold: '+img_sat+'\n'+'Feldolgozási szint: '+img_proc_lvl+'\n'+'Felvétel rögzítve: '+img_date+', '+img_time+'\n'+'Felvétel felhőzöttsége: '+img_cloud
        message=f'Subject:{subject}\n\n{body}'      
        
        #E-mail küldése és keresés szüneteltetése
        context = ssl.create_default_context()
        with smtplib.SMTP_SSL(smtp_server, port, context=context) as server:
            server.login(sender_email, password)
            server.sendmail(sender_email, receiver_email, message.encode("utf8"))
        now = datetime.now()
        now = now.strftime("%d/%m/%Y %H:%M:%S")
        print(now+' - E-mail elküldve')
        time.sleep(82800) #23 óra 
        return
    else:
        # Jelezzen ha nincs új műholdkép
        print(now+' - Nem érhető el új műholdkép')
        return
Beispiel #10
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def test_count():
    api = SentinelAPI(**_api_kwargs)
    count = api.count(None, ("20150101", "20151231"))
    assert count > 100000
Beispiel #11
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def test_count():
    api = SentinelAPI(**_api_kwargs)
    count = api.count(None, ("20150101", "20151231"))
    assert count > 100000