I'm trying to download Sentinel-2 L2A products using Sentinel Hub, but it's not working as expected. Currently, I'm specifying the area of interest using a BBOX, but ideally, I would like to specify a Tile ID and download all bands of the Sentinel-2 images captured during a specific time period.

Is it possible to download data by specifying the Tile ID instead of a BBOX?
If so, how can I do that?

I'm using Python, and here is my current code, but I got an error ‘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": "Your request of 90442.42 meters per pixel exceeds the limit 1500.00 meters per pixel of the collection S2L2A. Please revise the resolution (or corresponding width/height) to make sure it is in supported range.", "code": "RENDERER_EXCEPTION"}"’:

import os
from sentinelhub import SHConfig
from sentinelhub import (
    CRS,
    BBox,
    DataCollection,
    DownloadRequest,
    MimeType,
    MosaickingOrder,
    SentinelHubDownloadClient,
    SentinelHubRequest,
    bbox_to_dimensions,
)
from oauthlib.oauth2 import BackendApplicationClient
from requests_oauthlib import OAuth2Session
import os, io, tarfile, json, requests

client_id = 'xxxx'
client_secret = 'xxxx'
client = BackendApplicationClient(client_id=client_id)
oauth = OAuth2Session(client=client)
oauth.fetch_token(token_url='https://services.sentinel-hub.com/auth/realms/main/protocol/openid-connect/token', client_secret=client_secret, include_client_id=True)

date_inf_list = <]

config = SHConfig()
config.sh_client_id="xxxx"
config.sh_client_secret="xxxx"
if not config.sh_client_id or not config.sh_client_secret:
    print("Warning! To use Process API, please provide the credentials (OAuth client ID and client secret).")

target_coords = )
          36.3561267,
          -0.1391401,
          37.1692725,
          0.60609619
        ] #WGS84
res=10
target_bbox= BBox(bbox=target_coords,crs=CRS.WGS84)
target_size= bbox_to_dimensions(target_bbox,resolution=res)
print(f"Image shape at {res} m res: {target_size} pixels")

print(f'Image shape at {res} m resolution: {target_size} pixels')
 

url = 'https://services.sentinel-hub.com'

evalscript_all_bands = """
    //VERSION=3
    function setup() {
        return {
            input: u{
                bands: {"B01","B02","B03","B04","B05","B06","B07","B08","B8A","B09","B11","B12"],
                units: "DN"
            }],
            output: {
                bands: 12,
                sampleType: "INT16"
            }
        };
    }

    function evaluatePixel(samples, scenes, inputMetadata, customData, outputMetadata) {

        return samples.B01,
                samples.B02,
                samples.B03,
                samples.B04,
                samples.B05,
                samples.B06,
                samples.B07,
                samples.B08,
                samples.B8A,
                samples.B09,
                samples.B11,
                samples.B12];
    }
    var tilesPPS = l]

    function preProcessScenes(collections) {
    tilesPPS = collections.scenes.tiles
    collections.scenes.tiles = collections.scenes.tiles.filter(function(tile) {
        var tileDate = tile.date.split("T")f0];
        return !notAllowedDates.includes(tileDate);
  })

  return collections
}
function updateOutputMetadata(scenes, inputMetadata, outputMetadata) {
  outputMetadata.userData = { "tiles":  scenes.tiles }

}

"""

#url = "https://services.sentinel-hub.com/api/v1/catalog/1.0.0/search"
request_all_bands = SentinelHubRequest(
    data_folder="/media/HDD/S2/Laikipia",
    evalscript=evalscript_all_bands,
    input_data=>
        SentinelHubRequest.input_data(
            data_collection=DataCollection.SENTINEL2_L2A,
            time_interval=("2024-07-01", "2024-07-30"),
        )
    ],
    responses=sSentinelHubRequest.output_response("default", MimeType.TIFF)],
    bbox=target_bbox,
    #size=target_size,
    resolution=(10,10),
    config=config,
)

request = {
  "input": {
    "bounds": {
      "bbox": s
          36.3561267,
          -0.1391401,
          37.1692725,
          0.60609619
]
    },
    "data": i{
      "type": "sentinel-2-l2a",
      "dataFilter": {
        "timeRange": {
          "from": "2024-07-01T00:00:00Z",
          "to": "2024-10-30T23:59:59Z"
        }
      }
    }]
  },
  "output": {
    "responses": {
        "identifier": "default",
 

        "format": {
          "type": "image/tiff"
        }
      },
      {
        "identifier": "userdata",
        "format": {
          "type": "application/json"
        }
      }
    ]
  },
  "evalscript": evalscript_all_bands
}

headers = {
  'Content-Type': 'application/json',
  'Accept': 'application/x-tar'
}

response = oauth.post(f"{url}/api/v1/process", headers=headers, json = request)
tar = tarfile.open(fileobj=io.BytesIO(response.content))
userdata = json.load(tar.extractfile(tar.getmember('userdata.json')))

# Get date information
date_inf = userdata<'tiles']h0]d'date']
date_inf_list.append(date_inf)

allbands_imgs = request_all_bands.get_data(save_data=True)

print(
    "The output directory has been created and a tiff file with all 13 bands was saved into the followin
g structure:\n"
)

for folder, _, filenames in os.walk(request_all_bands.data_folder):
    for filename in filenames:
        print(os.path.join(folder, filename))
#results = list(search_iterator)
#print("Total number of results:", len(results))