update test

README.rst

@@ -60,6 +60,7 @@ installing via poetry
    pip install --upgrade poetry
    poetry install .
 
+
 Usage
 -----
 
@@ -159,6 +160,21 @@ TESS kernels can be obtained from MAST:
 https://archive.stsci.edu/missions/tess/engineering/
 https://archive.stsci.edu/missions/tess/models/
 
+When you first load `lkspacecraft` into Python all the kernels will be downloaded for you. This will take approximately 5 minutes, depending on your internet connection. Once this has been done, the kernels will be cached. If there are new TESS kernels available `lkspacecraft` will retrieve them for you and update the cache. 
+
+The total file volume for the kernels is ~1GB. These cached files are stored using `astropy`'s cache. If you want to clear the cache you can do either of the following;
+
+```python
+from lkspacecraft.utils import clear_download_cache
+clear_download_cache()
+```
+
+```python
+from astropy.utils.data import clear_download_cache
+clear_download_cache(pkgname='lkspacecraft')
+```
+
+
 Extending ``lkspacecraft``
 ~~~~~~~~~~~~~~~~~~~~~
 

pyproject.toml

@@ -31,6 +31,7 @@ pydata-sphinx-theme = "^0.16.1"
 sphinx-autobuild = "^2024.10.3"
 ghp-import = "^2.1.0"
 lxml = "^5.3.0"
+flake8 = "^7.1.1"
 
 [build-system]
 requires = ["poetry-core"]

src/lkspacecraft/utils.py

@@ -69,10 +69,10 @@ def get_file_paths():
                 total=len(file_names),
                 desc="Downloading SPICE Kernels",
             )
-            file_paths.append(get_file_path(url + file_name))
-            progress_bar.n = idx
-            progress_bar.refresh()
-            log.debug(f"Downloaded {file_name}.")
+        file_paths.append(get_file_path(url + file_name))
+        progress_bar.n = idx
+        progress_bar.refresh()
+        log.debug(f"Downloaded {file_name}.")
     return file_paths