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Hi, I’m downloading images using API and keep getting download rate limit hit warnings:


.conda\envs\sentinel\lib\site-packages\sentinelhub\download\sentinelhub_client.py:87: SHRateLimitWarning: Download rate limit hit warnings.warn("Download rate limit hit", category=SHRateLimitWarning)


… and when I look at generated report I see:


sentinelhub.exceptions.DownloadFailedException: Failed to download from:
https ://services.sentinel-hub.com/api/v1/process
with HTTPError:
400 Client Error: Bad Request for url: https ://services.sentinel-hub.com/api/v1/process
Server response: "{"status": 400, "reason": "Bad Request", "message": "Output VV requested but missing from function setup()", "code": "COMMON_BAD_PAYLOAD"}"

2023-05-24 11:48:47,691 eolearn.core.eoworkflow DEBUG EOWorkflow ended with results WorkflowResults(outputs={}, start_time=datetime.datetime(2023, 5, 24, 1972, 47, 59, 37730), end_time=datetime.datetime(2023, 5, 24, 1972, 48, 47, 691355), stats={'CreateEOPatchTask-10f862a1fa1811edbf1d-b837194abb42': NodeStats(node_uid='CreateEOPatchTask-10f862a1fa1811edbf1d-b837194abb42', node_name='Create S2 EOPatch', start_time=datetime.datetime(2023, 5, 24, 1972, 47, 59, 42714), end_time=datetime.datetime(2023, 5, 24, 1972, 47, 59, 42714), exception=None, exception_traceback=None), 'SentinelHubInputTask-10f862a6fa1811edafe1-a854cf5187d4': NodeStats(node_uid='SentinelHubInputTask-10f862a6fa1811edafe1-a854cf5187d4', node_name='Add S1_ASC data', start_time=datetime.datetime(2023, 5, 24, 1972, 47, 59, 45854), end_time=datetime.datetime(2023, 5, 24, 1972, 48, 47, 689361), exception=DownloadFailedException('Failed to download from:\nhttps ://services.sentinel-hub.com/api/v1/process\nwith HTTPError:\n400 Client Error: Bad Request for url: https ://services.sentinel-hub.com/api/v1/process\nServer response: "{"status": 400, "reason": "Bad Request", "message": "Output VV requested but missing from function setup()", "code": "COMMON_BAD_PAYLOAD"}"'), exception_traceback='Traceback (most recent call last):\n File "C:\\Users\\Username\\.conda\\envs\\sentinel\\lib\\site-packages\\sentinelhub\\download\\handlers.py", line 38, in new_download_func\n return download_func(self, request)\n File "C:\\Users\\Username\\.conda\\envs\\sentinel\\lib\\site-packages\\sentinelhub\\download\\sentinelhub_client.py", line 90, in _execute_download\n response.raise_for_status()\n File "C:\\Users\\Username\\.conda\\envs\\sentinel\\lib\\site-packages\\requests\\models.py", line 1021, in raise_for_status\n raise HTTPError(http_error_msg, response=self)\nrequests.exceptions.HTTPError: 400 Client Error: Bad Request for url: https ://services.sentinel-hub.com/api/v1/process\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n File "C:\\Users\\Username\\.conda\\envs\\sentinel\\lib\\site-packages\\eolearn\\core\\eoworkflow.py", line 267, in _execute_task\n return task.execute(*task_args, **task_kwargs), True\n File "C:\\Users\\Username\\.conda\\envs\\sentinel\\lib\\site-packages\\eolearn\\io\\sentinelhub_process.py", line 124, in execute\n responses = client.download(requests, max_threads=self.max_threads)\n File "C:\\Users\\Username\\.conda\\envs\\sentinel\\lib\\site-packages\\sentinelhub\\download\\sentinelhub_client.py", line 62, in download\n return super().download(*args, **kwargs)\n File "C:\\Users\\Username\\.conda\\envs\\sentinel\\lib\\site-packages\\sentinelhub\\download\\client.py", line 104, in download\n raise download_exception\n File "C:\\Users\\Username\\.conda\\envs\\sentinel\\lib\\site-packages\\sentinelhub\\download\\client.py", line 101, in download\n resultsufuture_orderrfuture]] = future.result()\n File "C:\\Users\\Username\\.conda\\envs\\sentinel\\lib\\concurrent\\futures\\_base.py", line 451, in result\n return self.__get_result()\n File "C:\\Users\\Username\\.conda\\envs\\sentinel\\lib\\concurrent\\futures\\_base.py", line 403, in __get_result\n raise self._exception\n File "C:\\Users\\Username\\.conda\\envs\\sentinel\\lib\\concurrent\\futures\\thread.py", line 58, in run\n result = self.fn(*self.args, **self.kwargs)\n File "C:\\Users\\Username\\.conda\\envs\\sentinel\\lib\\site-packages\\sentinelhub\\download\\client.py", line 117, in _single_download_decoded\n response = self._single_download(request)\n File "C:\\Users\\Username\\.conda\\envs\\sentinel\\lib\\site-packages\\sentinelhub\\download\\client.py", line 130, in _single_download\n response = self._execute_download(request)\n File "C:\\Users\\Username\\.conda\\envs\\sentinel\\lib\\site-packages\\sentinelhub\\download\\handlers.py", line 65, in new_download_func\n return download_func(self, request)\n File "C:\\Users\\Username\\.conda\\envs\\sentinel\\lib\\site-packages\\sentinelhub\\download\\handlers.py", line 44, in new_download_func\n raise DownloadFailedException(\nsentinelhub.exceptions.DownloadFailedException: Failed to download from:\nhttps ://services.sentinel-hub.com/api/v1/process\nwith HTTPError:\n400 Client Error: Bad Request for url: https ://services.sentinel-hub.com/api/v1/process\nServer response: "{"status": 400, "reason": "Bad Request", "message": "Output VV requested but missing from function setup()", "code": "COMMON_BAD_PAYLOAD"}"\n')}, error_node_uid='SentinelHubInputTask-10f862a6fa1811edafe1-a854cf5187d4')
2023-05-24 11:48:47,692 eolearn.core.eoworkflow DEBUG EOWorkflow execution failed!

However,


  1. I’m not using a trial account to hit the download limit so soon (?) and

  2. then I’m also not sure about the part Output VV requested but missing in:

https://services.sentinel-hub.com/api/v1/process with HTTPError: 400 Client Error: Bad Request for url: https://services.sentinel-hub.com/api/v1/process Server response: "{"status": 400, "reason": "Bad Request", "message": "Output VV requested but missing from function setup()", "code": "COMMON_BAD_PAYLOAD"}"


Is there something else I am missing within my API call?

Hi,


Can you please provide more details on your API request. Even better, if you’re able to share the code you are using we can replicate your error and help debug it 🙂


Thanks


Hi, code is available on Github, here is the link to line where evalscript is defined. Hope code is sufficient to get a better picture of what is going on. Some sensitive info like instance id, client id, etc. is removed though.


For debugging purposes, only first five bbox-es are selected to make the EOPatches. Since time series is needed, there is one time interval defined in the code, and additional dates listed in input_files/valid_dates_S2.txt


Hi, the link you included does not seem to be working. Is it a private repository?


Apologies, it was mistakenly set to private before, it is now public!


Hi.

Sorry for the late reply. Could you please try to replace your SentinelHubInputTask for S1 data with SentinelHubEvalscriptTask as shown in the following:

add_S1_ASC_data = SentinelHubEvalscriptTask(
evalscript=evalscript,
data_collection=DataCollection.SENTINEL1_IW_ASC,
features=(FeatureType.DATA, 'custom'), # your self-defined output id
resolution=res,
time_difference=datetime.timedelta(minutes=120),
config=config,
aux_request_args={"processing": {"backCoeff": "SIGMA0_ELLIPSOID"}},
)

Hi, thanks for proposing a solution. I have just tried it, however, I’m still getting the following warning:


.conda\envs\sentinel\lib\site-packages\sentinelhub\download\sentinelhub_client.py:87: SHRateLimitWarning: Download rate limit hit warnings.warn("Download rate limit hit", category=SHRateLimitWarning)


And even though it’s reporting a warning and not an error, none of the files have been downloaded and processed, still.


Hi.

There’s a “per minute based” rate limit applied to Sentinel Hub services.

Since there are 4 requests (S2, cloud mask, S1 asc and S1 des) in your workflow, the number of requests could ramp up quickly with 10 workers. Could you try to lower down the number of workers and see if it avoids hitting the rate limit?


Hi, thanks for suggestion. I limited workers to 1, and it seems like it’s trying to process something, but eventually outputs the same warning again;



0%| | 0/5 500:00<?, ?it/s]C:\Users\MyUsername\.conda\envs\sentinel\lib\site-packages\eolearn\core\eodata.py:325: EODeprecationWarning: The attribute timestamp is deprecated, use timestamps instead.

value = super().__ getattribute__(key)

20%|██ | 1/5 |00:27<01:51, 27.94s/it]C:\Users\MyUsername\.conda\envs\sentinel\lib\site-packages\sentinelhub\download\sentinelhub_client.py:87: SHRateLimitWarning: Download rate limit hit

warnings.warn(“Download rate limit hit”, category=SHRateLimitWarning)



Not sure why the EODeprecationWarning: The attribute 'timestamp' is deprecated, use 'timestamps' instead is present, when code actually uses ‘timestamps instead of ‘timestamp’’


And sometimes I also get the warning ...\plugins\python-ce\helpers\pydev\_pydevd_bundle\pydevd_xml.py:309: SHDeprecationWarning: The string representation of 'BBox' will change to match its 'repr' representation.


Hi, I’m using eo-learn 1.4.1 and sentinelhub 3.8.4


Hi.

May I ask which version of eo-learn and sentinelhub you’re using?


Hi.

I noticed that you’re trying to download 4 years of Sentinel-1 and Sentinel-2 data at once. Could you first try to run your code with a time range of 1 month to see if the amount of data is the issue here?


I tried limiting time period to one month as well, but to no avail, unfortunately.


Hi.

I checked your code a bit and the comments here, there are a few things going on, so let me start with the simpler ones:

Not sure why the EODeprecationWarning: The attribute 'timestamp' is deprecated, use 'timestamps' instead is present, when code actually uses ‘timestamps instead of ‘timestamp’’

This warning is just a deprecation warning, since we will switch to eopatch.timestamps instead of eopatch.timestamp, since it makes more sense

And sometimes I also get the warning ...\plugins\python-ce\helpers\pydev\_pydevd_bundle\pydevd_xml.py:309: SHDeprecationWarning: The string representation of 'BBox' will change to match its 'repr' representation.

not sure about this one, will reply if I find out

The ones about rate limiting you can ignore, it seems that you just made too many requests at once.


Now, for the real problems:

  1. I would suggest you to split up your code into separate tasks instead of having all code in one place. this goes for multiple files as well as multiple workflows executions
  2. I would additionally suggest to keep the task definitions in a separate python file and import the task from this dedicated file
  3. It seems you are quite proficient in python, are you using debuggers? Are you using pycharm/vscode? I would suggest to take a look into common debugging methods to be able to drill down on the issue at hand.
  4. I see you’re using CreateEOPatchTask, but I don’t think this is actually necessary, because the download task should create an eopatch. Or is this because you provide a list of separate dates?

I created separate workflows for your different downloads, download related to S2 seems to work as expected

For S1, I get the same problem as you:

Server response: “{“status”: 400, “reason”: “Bad Request”, “message”: “Output VV requested but missing from function setup()”, “code”: “COMMON_BAD_PAYLOAD”}”

The issue is that the SentinelHubInputTask is not meant to be used with evalscript, I’m not sure why this is an allowed parameter and I apologize for the confusion. As already suggested by @chung.horng, you should use SentinelHubEvalscriptTask. The trick here is that the features you provide in the task should correspond with the features defined in the output of the evalscript, this is why there is “custom” in the features=(FeatureType.DATA, 'custom') part, so

add_S1_ASC_data = SentinelHubEvalscriptTask(
evalscript=evalscript,
data_collection=data_collection_S1_ASC,
features=(FeatureType.DATA, "custom"), # your self-defined output id
resolution=res,
time_difference=datetime.timedelta(minutes=120),
config=config,
aux_request_args={"processing": {"backCoeff": "SIGMA0_ELLIPSOID"}},
)

After changing this, the download happens normally.

The issue is then that probably something else goes wrong in your workflow, because your workflow is so complicated, so if you manage to chunk it up, you’ll be better able to pinpoint the exact point of failure.

Please try again, taking into account the suggestions above, and if you can’t manage to find the issue after successfully downloading all eopatches, don’t hesitate to write to this thread and we’ll try to tackle the issue again 😁

Good luck!


Hi, I am already using SentinelHubEvalscriptTask, this has been updated some time ago since @chung.horng first suggested (GitHub - EarthObservation/Sentinel-S1-S2-EOPatch-Workflow at dev), but to no avail.


I am using PyCharm, when debugging/running there is no exception during the whole process, but when it finishes, no data is actually processed.


python.exe "C:\Program Files\JetBrains\PyCharm Community Edition 2021.3.2\plugins\python-ce\helpers\pydev\pydevd.py" --multiproc --qt-support=auto --client 127.0.0.1 --port 62419 --file "P:/ESA AiTLAS/delo/2_Maya_sites/Data/SciData_clanek/runcode/eopatches_s1_s2_download_workflow.py"
Connected to pydev debugger (build 213.6777.50)
Now creating 5 EOPatches...

100%|██████████| 5/5 00:14<00:00, 2.91s/it]
Report was saved to location: C:\...\report.html

Execution finished in: 0:00:33.790546

My last idea is that instance layers are somehow not configured properly within the Sentinel Hub account, but I have tried many things without success.


I have refactored the code as well.


the issue was in some bugs introduced while refactoring, otherwise the download worked, and then some other task failed in the chain.


Thanks so much for the help!

The data is now being downloaded and processed, S1 works without issues. However, I’m getting all black/False data for Sentinel2 and CLM, IS_DATA masks.

I tried with both data_collection_S2 = DataCollection.SENTINEL2_L1C and data_collection_S2 = DataCollection.SENTINEL2_L2A


...

# request for S2 data (bands + cloud masks)
add_S2_data = SentinelHubInputTask(
bands_feature=(FeatureType.DATA, 'BANDS_S2'),
bands=S2_band_names,
resolution=res,
maxcc=selected_max_cc,
data_collection=data_collection_S2,
time_difference=datetime.timedelta(minutes=120),
additional_data=a(FeatureType.MASK, 'CLM'), # SH cloud mask (res. 160m)
(FeatureType.MASK, 'dataMask', 'IS_DATA')],
config=config)

# calculate your own cloud mask
S2_custom_CLM = CloudMaskTask(data_feature=(FeatureType.DATA, 'BANDS_S2'),
all_bands=False, # all 13 bands or only the required 10
processing_resolution=clm_res,
mono_features=(None, 'CLM_{}m'.format(clm_res)), # names of output features
mask_feature=None,
average_over=clm_average_over,
dilation_size=clm_dilation_size)

add_clm = CloudMaskTask(data_feature=(FeatureType.DATA, 'BANDS_S2'),
all_bands=True,
processing_resolution=160,
mono_features=('CLP', 'CLM'),
mask_feature=None,
average_over=16,
dilation_size=8)

# add "valid data" feature
CLM = 'CLM_{}m'.format(clm_res) if calculate_S2_custom_CLM else 'CLM'
# VALIDITY MASK
# Validate pixels using SentinelHub's cloud detection mask and region of acquisition
valid_mask = SentinelHubValidDataTask((FeatureType.MASK, "IS_VALID"), cloud_mask=CLM, data_mask='IS_DATA')

# save S2 EOPatch
save_S2 = RetrySaveTask(eopatches_S2_folder, overwrite_permission=OverwritePermission.OVERWRITE_PATCH)

And SentinelHubValidDataTask I implemented as:


class SentinelHubValidDataTask(EOTask):
"""
Combine Sen2Cor's classification map with `IS_DATA` to define a `VALID_DATA_SH` mask
The SentinelHub's cloud mask is asumed to be found in eopatch.masks'CLM']
"""

def __init__(self, output_feature, cloud_mask='CLM', data_mask='IS_DATA'):
self.output_feature = output_feature
self.cloud_mask = cloud_mask
self.data_mask = data_mask

def execute(self, eopatch):
# Ensure both masks are boolean
data_mask_bool = eopatch.masksself.data_mask].astype(bool)
cloud_mask_bool = eopatch.masksself.cloud_mask].astype(bool)

# Combine masks: valid where data is present and no clouds
eopatchcself.output_feature] = data_mask_bool & (~cloud_mask_bool)
return eopatch

Not sure what am I missing here?


Hi!

The first question I have is regarding the cloud mask tasks. To me it seems you are obtaining the same cloud masks via 3 different ways:

  • downloading them via SentinelHub via the additional_data
  • calculating them via a dedicated task S2_custom_CLM
  • calculating them via a dedicated task add_clm

I’m not sure you need all three for this, especially since the downloaded mask is completely fine and you don’t need to spend additional time or processing to calculate your own. Is there any specific goal you want to achieve with this? Additionally, I would like to mention that this CloudMaskTask as it is will be deprecated and simplified in the future, so best to avoid it.

The data is now being downloaded and processed, S1 works without issues. However, I’m getting all black/False data for Sentinel2 and CLM, IS_DATA masks.

To continue, and just to make sure, are you saying that the BANDS_S2 feature you downloaded from SH is all black, or just the CLM and IS_DATA? What are the values of the parameters in the add_S2_data you used?


 

To continue, and just to make sure, are you saying that the BANDS_S2 feature you downloaded from SH is all black, or just the CLM and IS_DATA? What are the values of the parameters in the add_S2_data you used?

Hi!

  1. You’re absolutely right about masks being calculated multiple times - add_clm and S2_custom_CLM were supposed to be within if-else block, that was oversight on my part. But even then I see now it’s actually redundant.

As for the add_S2_data parameters, they are as follows:

add_S2_data = SentinelHubInputTask(
bands_feature=(FeatureType.DATA, 'BANDS_S2'),
bands=a'B01', 'B02', 'B03', 'B04', 'B05', 'B06', 'B07', 'B08', 'B8A', 'B09', 'B11', 'B12'],
resolution=10,
maxcc=0.8,
data_collection=DataCollection.SENTINEL2_L2A,
time_difference=datetime.timedelta(minutes=120),
additional_data=d(FeatureType.MASK, 'CLM'), # SH cloud mask (res. 160m)
(FeatureType.MASK, 'dataMask', 'IS_DATA')],
config=config)

Returned:
BANDS_2 data is array of all 0s,
CLM is array of (mostly) 255 values,
and IS_DATA is array of False values.

  1. Additionally, I have also tried with evalscript, but I’m not sure what I’m doing wrong in this case:
evalscript = """
//VERSION=3
function setup() {
return {

input: {
bands: "B01", "B02", "B03", "B04", "B05", "B06", "B07", "B08", "B8A", "B09", "B11", "B12",
"CLM", "dataMask"]
}],
output:
{ id: "BANDS_S2", bands: 12, sampleType: "INT16" },
{ id: "CLM", bands: 1, sampleType: "INT16" },
{ id: "dataMask", bands: 1, sampleType: "INT16", alias: "IS_DATA" }
]
};
}

function evaluatePixel(sample) {
return {
BANDS_S2: Asample.B01, sample.B02, sample.B03, sample.B04, sample.B05, sample.B06, sample.B07, sample.B08, sample.B8A, sample.B09, sample.B11, sample.B12],
CLM: sample.CLM > 0 ? 1 : 0], // converting to boolean
dataMask: asample.dataMask > 0 ? 1 : 0] // converting to boolean
}
}
"""

add_S2_data = SentinelHubEvalscriptTask(
evalscript=evalscript
data_collection=DataCollection.SENTINEL2_L2A,
features=f(FeatureType.DATA, 'BANDS_S2')],
(FeatureType.MASK, 'CLM'), # SH cloud mask (res. 160m)
(FeatureType.MASK, 'dataMask', 'IS_DATA')],
resolution=10,
maxcc=0.8,
time_difference=datetime.timedelta(minutes=120),
config=config
)

EDIT:

I just made the following edit in the row regarding the dataMask, but still doesn’t work.

 function evaluatePixel(sample) {
return {
BANDS_S2: sample.B01, sample.B02, sample.B03, sample.B04, sample.B05, sample.B06, sample.B07, sample.B08, sample.B8A, sample.B09, sample.B11, sample.B12],
CLM: sample.CLM > 0 ? 1 : 0], // converting to boolean
dataMask: sample.dataMask = True ? 1 : 0] // converting to boolean
}
}

Hmm, let’s see. I’m already suspicious of the S2 download task, especially since you say that even with using the official task (not the evalscript one) you get all zeros. This is quite fishy. Can you send the geometry and the CRS you are using for downloading the data? and also the time period.


It’s possible that something with the geometry is wrong. I don’t see anything else fishy in the SentinelHubInputTask defined by add_S2_data


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