emanuele/parser-eLabFTW-NFFA-DI
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integrates sub-classes Target and Substrate in main.py

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This commit is contained in:
Emanuele D'Amico
2026-02-12 16:01:10 +01:00
parent c4903a536b
commit d86b35a5fe
1 changed files with 14 additions and 5 deletions
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19
src/main.py
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@@ -28,11 +28,15 @@ def call_material_from_elabid(elabid):
''' '''
try: try:
material_data = APIHandler(apikey).get_entry_from_elabid(elabid, entryType="items") material_data = APIHandler(apikey).get_entry_from_elabid(elabid, entryType="items")
material_category = material_data.get("category_title")
# TO-DO: correct this typo on elabftw: Subtrate → Substrate. # TO-DO: correct this typo on elabftw: Subtrate → Substrate.
if not material_data.get("category_title") in ["PLD Target", "Substrate", "Subtrate"]: if not material_category in ["PLD Target", "Substrate", "Subtrate"]:
print(f"Category of the resource: {material_data.get("category_title")}.") print(f"Category of the resource: {material_category}.")
raise ValueError(f"The referenced resource (elabid = {elabid}) is not a material.") raise ValueError(f"The referenced resource (elabid = {elabid}) is not a material.")
material_object = Material(material_data) elif material_category == "PLD Target":
material_object = Target(material_data)
else:
material_object = Substrate(material_data)
except ConnectionError as e: except ConnectionError as e:
raise ConnectionError(e) raise ConnectionError(e)
return material_object # Material-class object return material_object # Material-class object
@@ -106,16 +110,21 @@ if __name__=="__main__":
data = APIHandler(apikey).get_entry_from_elabid(elabid) data = APIHandler(apikey).get_entry_from_elabid(elabid)
sample = Entrypoint(data) sample = Entrypoint(data)
batch = chain_entrypoint_to_batch(sample) # Material-class object batch = chain_entrypoint_to_batch(sample) # Material-class object
bd = batch.__dict__
bd.pop("extra")
layers = chain_entrypoint_to_layers(sample) # list of Layer-class objects layers = chain_entrypoint_to_layers(sample) # list of Layer-class objects
print(f"Sample name:\n{sample.name}\n") print(f"Sample name:\n{sample.name}\n")
print(f"Substrate data:\n{batch.get_compound_formula(apikey)}\n") print(f"Substrate data:\n{bd}\n")
print(f"Layers data:") print(f"Layers data:")
for layer in layers: for layer in layers:
ld = layer.__dict__ ld = layer.__dict__
ld.pop("extra") ld.pop("extra")
tgt = chain_layer_to_target(layer) tgt = chain_layer_to_target(layer)
td = tgt.__dict__
td.pop("extra")
print(ld) print(ld)
print(tgt.get_compound_formula(apikey) + f"\n") print(td)
print()
# entryType = None # entryType = None
# while entryType not in ["items", "experiments"]: # while entryType not in ["items", "experiments"]: