feat(model): enable loading models from local filesystem

Signed-off-by: Sunil Thaha <[email protected]>

Author: Sunil Thaha

pyproject.toml

@@ -44,6 +44,7 @@ dependencies = [
   "boto3==1.34.155",
   "pymarkdownlnt==0.9.22",
   "yamllint==1.35.1",
+  "requests-file==2.1.0",
 ]
 
 [project.scripts]
@@ -67,8 +68,6 @@ extra-dependencies = [
   "coverage[toml]>=6.5",
 	"ipdb",
 	"ipython",
-  "ipdb",
-  "ipython",
   "pytest",
 ]
 

src/kepler_model/estimate/archived_model.py

@@ -71,11 +71,16 @@ def get_achived_model(power_request):
     if url == "":
         print("no URL set for ", output_type_name, power_request.energy_source)
         return None
-    print(f"try getting archieved model from URL: {url} for {output_type_name}")
-    response = requests.get(url)
-    print(response)
+    logger.info(f"try getting archieved model from URL: {url} for {output_type_name}")
+
+    s = requests.Session()
+    s.mount("file://", FileAdapter())
+    response = s.get(url)
+    logger.debug(f"response: {response}")
+
     if response.status_code != 200:
         return None
+
     output_path = unpack(power_request.energy_source, output_type, response, replace=False)
     if output_path is not None:
         metadata = load_metadata(output_path)