completes Entrypoint class for now

also adds a few comments to Layers class
and changes debug mode to test Entrypoint

src/chained_requests.py

@@ -3,6 +3,11 @@ from getpass import getpass
 from classes import Header
 
 class Layers:
+    '''
+    Layers(layer_data) - where layer_data is a Python dictionary.
+
+    eLabFTW experiments contain most of the data required by the NeXus file - although every layer is on a different eLab entry; unfortunately, some data like the target's chemical formula must be retrieved through additional HTTP requests. Attributes 'target_elabid', 'rheed_system_elabid' and 'laser_system_elabid' contain elabid's for these resources, which are all items.
+    '''
     def __init__(self, layer_data):
         try:
             self.extra = layer_data["metadata_decoded"]["extra_fields"]
@@ -13,6 +18,7 @@ class Layers:
             self.deposition_time = self.extra["Duration"]["value"]
             self.repetition_rate = self.extra["Repetition rate"]["value"]
             self.number_of_pulses = float(self.deposition_time) * float(self.repetition_rate)
+            # TO-DO: remove trailing space on eLabFTW's template for deposition layers
             self.temperature = self.extra["Heater temperature "]["value"]
             self.heating_method = self.extra["Heating Method"]["value"]
         except KeyError as k:
@@ -25,17 +31,12 @@ class Entrypoint:
     The entrypoint is the starting point of the process of resolving the data chain. The entrypoint must be a dictionary containing the data of a sample, created directly from the JSON of the item endpoint on eLabFTW - which can be done through the function get_entry_from_elabid.
     '''
     def __init__(self, sample_data):
-        '''
-        Attributes:
-        - self.linked_experiments is a sub-dictionary which only includes links to related experiments.
-        - self.linked_items is a sub-dictionary which only includes links to related items.
-        - self.batch_elabid is an integer (or NoneType if there's an error) containing the elabid of the associated substrate batch entry.
-        '''
         try:
             self.extra = sample_data["metadata_decoded"]["extra_fields"]
-            self.linked_experiments = sample_data.get("related_experiments_links") or None
+            self.linked_items = sample_data["items_links"]
-            self.linked_items = sample_data.get("items_links") or None
             self.batch_elabid = self.extra["Substrate batch"]["value"]
+            self.linked_experiments = sample_data["related_experiments_links"]
+            self.linked_experiments_elabid = [ i["entityid"] for i in self.linked_experiments ]
         except KeyError as k:
             raise KeyError(f"The provided dictionary lacks a \"{k}\" key.")
 
@@ -74,7 +75,14 @@ if __name__=="__main__":
     data = get_entry_from_elabid(elabid, entryType)
     if entryType == "experiments":
         layer = Layers(data)
-        print(layer.__dict__)
+        result = layer.__dict__
+        result.pop("extra")
+        print(result)
+    elif entryType == "items":
+        sample = Entrypoint(data)
+        result = sample.__dict__
+        result.pop("extra")
+        print(result)
     # print(json.dumps(chain.sample_data))
     # print(json.dumps(chain.linked_experiments))
     # print(chain.batch_elabid)