Refactor code and implement TODOs

README.md

@@ -1,12 +1,26 @@
 [![PyTests](https://github.com/jjjermiah/NBIA-toolkit/actions/workflows/main.yml/badge.svg)](https://github.com/jjjermiah/NBIA-toolkit/actions/workflows/main.yml)
 [![Documentation Status](https://readthedocs.org/projects/nbia-toolkit/badge/?version=latest)](https://nbia-toolkit.readthedocs.io/en/latest/?badge=latest)
 
-# none of this works yet lol but it will soon
 # NBIA Toolkit 
 - Packaged code to access the NBIA REST API 
 
 See Documentation at [NBIA-Toolkit Read The Docs](https://nbia-toolkit.readthedocs.io/en/latest/)
 
+    TODO::readthedocs::error in the example first cell
+    TODO::auth.py::implement better access token handling
+    TODO::auth.py::implement better error handling
+    TODO::auth.py::implement refresh token functionality
+    TODO::auth.py::implement logout functionality
+    TODO::auth.py::implement encryption for username and password
+    TODO::nbia.py::implement better error handling
+    TODO::nbia.py::implement better logging & logger configuration
+    TODO::nbia.py::enforce type checking for all functions and add type hints
+    TODO::nbia.py::implement return formats for dict, and pandas.DataFrame
+    TODO::dicomsort.py::come up with more efficient algorithm for sorting
+    TODO::dicomsort.py::implement better error handling
+    TODO::dicomsort.py::come up with solution to only use part of UIDs (last 5 digits)?
+
+
 Wiki is empty for now:
 See the [Wiki](https://github.com/jjjermiah/NBIA-toolkit/wiki) for more information.
 
@@ -22,7 +36,7 @@ $ pip install nbiatoolkit
 
 ## Usage
 
-- TODO
+See Documentation at [NBIA-Toolkit Read The Docs](https://nbia-toolkit.readthedocs.io/en/latest/)
 
 ## Contributing
 

driver.py

@@ -1,16 +1,50 @@
 from nbiatoolkit import NBIAClient
 import requests
 from pprint import pprint
+import multiprocessing as mp
+from tqdm import tqdm
+from tcia_utils import nbia
+import logging
+USERNAME = "sejinkim"
+PASSWORD = "q6mJyLD8cPeGTwg!"
 
-client = NBIAClient(log_level="DEBUG")
-# series = client.getSeries(Collection="4D-Lung")
-# pprint(series[0])
-# print(type(series[0]))
-# print()
-
-# series0 = series[0]['SeriesInstanceUID']
-series0 = '1.3.6.1.4.1.14519.5.2.1.6834.5010.189721824525842725510380467695'
-response = client.downloadSeries(
-    SeriesInstanceUID = series0,
-    downloadDir = "/home/bioinf/bhklab/jermiah/projects/NBIA-toolkit/resources")
-# pprint(response)
+
+client = NBIAClient(username=USERNAME, password=PASSWORD)
+series = client.getSeries(Collection="RADCURE")
+
+seriesList = [_["SeriesInstanceUID"] for _ in series]
+seriesList = seriesList[0:5]
+
+
+def download(series) -> bool:
+    response = client.downloadSeries(
+        SeriesInstanceUID = series,
+        downloadDir = "/home/bioinf/bhklab/jermiah/projects/rawdata")
+    return response
+
+if (True):
+    # iterate through each series and download
+    # print out the progressbar
+    with mp.Pool(processes=30) as pool:
+        for _ in tqdm(pool.imap_unordered(download, seriesList), total=len(seriesList)):
+            pass
+else:
+    _log = logging.getLogger(__name__)
+    for handler in logging.root.handlers[:]:
+        logging.root.removeHandler(handler)
+
+    USERNAME = "sejinkim"
+    PASSWORD = "q6mJyLD8cPeGTwg!"
+    nbia.getToken(user=USERNAME, pw=PASSWORD)
+
+    collection_name = "RADCURE"
+    metadata = nbia.getSeries(collection = collection_name, format = "df", api_url = "restricted")
+
+    nbia.downloadSeries(series_data = seriesList, path = "/home/bioinf/bhklab/jermiah/projects/rawdata", input_type = "list",  api_url = "restricted")
+# with mp.Pool(processes=30) as pool:
+#     for _ in tqdm(pool.imap_unordered(download, seriesList), total=len(seriesList)):
+#         pass
+# python dicomsort.py -u /home/bioinf/bhklab/jermiah/projects/rawdata /home/bioinf/bhklab/jermiah/projects/NBIA-toolkit/resources/rawdata/%PatientID/%StudyDate-%StudyID-%StudyDescription-%StudyInstanceUID/%SeriesNumber-%SeriesDescription-%SeriesIntanceUID/%InstanceNumber-%SOPInstanceUID.dcm
+
+
+

src/nbiatoolkit/nbia.py

@@ -3,6 +3,9 @@
 from nbiatoolkit.utils.logger import setup_logger
 import requests
 from requests.exceptions import JSONDecodeError as JSONDecodeError
+import io, zipfile, os
+import hashlib
+
 class NBIAClient:
     """
     TODO:: Add docstring
@@ -20,15 +23,15 @@ def __init__(self,
             name = "NBIAClient", console_logging=True, log_level=log_level)
 
         # Setup OAuth2 client
-        self.logger.info("Setting up OAuth2 client... with username %s", username)
+        self.logger.debug("Setting up OAuth2 client... with username %s", username)
         self._oauth2_client = OAuth2(username=username, password=password)
         self.api_headers = self._oauth2_client.getToken()
 
     def query_api(self, endpoint: NBIA_ENDPOINTS, params: dict = {}) -> dict:
         base_url = "https://services.cancerimagingarchive.net/nbia-api/services/"
         query_url = base_url + endpoint.value
 
-        self.logger.info("Querying API endpoint: %s", query_url)
+        self.logger.debug("Querying API endpoint: %s", query_url)
         self.logger.debug("API headers: %s", (self._createDebugURL(endpoint, params)))
 
         try:
@@ -137,9 +140,9 @@ def getSeries(self,
     def downloadSeries(self,
         SeriesInstanceUID: str,
         downloadDir: str,
-        ) -> list:
+        ) -> bool:
+
 
-        import io, zipfile, os
 
         params = dict()
         params["SeriesInstanceUID"] = SeriesInstanceUID
@@ -160,14 +163,14 @@ def downloadSeries(self,
         # Log error or raise an exception
             pass
 
-        return response
+        return True
 
 
     def _calculateMD5(self,
         filepath: str
         ) -> str:
 
-        import hashlib
+
         hash_md5 = hashlib.md5()
         with open(filepath, "rb") as f:
             for chunk in iter(lambda: f.read(4096), b""):
@@ -177,7 +180,7 @@ def _calculateMD5(self,
     def validateMD5(self,
         seriesDir: str
         ) -> bool:
-        import os
+
         md5File = os.path.join(seriesDir, "md5hashes.csv")
         assert os.path.isfile(md5File), "MD5 hash file not found in download directory."