Compare commits

..

5 Commits

Author SHA256 Message Date
3f97ccee25 removes functions.py 2026-02-17 16:20:08 +01:00
3ae6b86b8e more elegant solution for deduplicating instruments
also edits help for deduplicate_instruments... to better explain what it
does; also fixes small typo ('default=' instead of 'default ='), row 448
2026-02-17 16:15:17 +01:00
d83873c763 raises IndexError if no laser, rheed sys. or chamber is ever specified
i.e. if one or more of these fields aren't specified thru all layers
2026-02-17 14:54:33 +01:00
de401b5474 adds instruments metadata to h5 file 2026-02-17 14:39:04 +01:00
fde2615107 changes method of instrument list deduplication
picks first occurrence in every set (ded_lasers, ded_chambers,
ded_rheeds) and eventually warns user if duplicates exist
2026-02-17 14:37:35 +01:00
2 changed files with 64 additions and 68 deletions

View File

@@ -1,62 +0,0 @@
"""
Currently unused!
"""
import json, requests
from APIHandler import APIHandler
def get_entry_from_elabid(elabid, entryType="items"):
'''
Function which returns entrypoint data (as dictionary) from its elabid.
'''
header = APIHandler(apikey).dump
response = requests.get(
headers = header,
url = f"{ELABFTW_API_URL}/{entryType}/{elabid}",
verify=True
)
if response.status_code // 100 in [2,3]:
entry_data = response.json()
return entry_data
else:
raise ConnectionError(f"HTTP request failed with status code: {response.status_code}.")
def get_sample_layers_data(elabid):
'''
Return the following data from every eLabFTW experiment linked
to a certain sample, identified by elabid.
- Title of the experiment
- Category (should check it's "PLD Deposition")
- Layer number - if present (PLD depositions)
- Deposition time - returns error if not present
- Repetition rate - returns error if not present
'''
# header = {
# "Authorization": apikey,
# "Content-Type": "application/json"
# }
sample_data = requests.get(
headers = header,
url = f"https://elabftw.fisica.unina.it/api/v2/items/{elabid}",
verify=True
).json()
related_experiments = sample_data["related_experiments_links"]
result = []
for exp in related_experiments:
experiment_data = requests.get(
headers = header,
url = f"https://elabftw.fisica.unina.it/api/v2/experiments/{exp.get("entityid")}",
verify=True
).json()
extra = experiment_data["metadata_decoded"]["extra_fields"]
result.append(
{"title": exp.get("title"),
"layer_number": extra.get("Layer Progressive Number").get("value"),
"category": exp.get("category_title"),
"deposition_time": extra.get("Duration").get("value"),
"repetition_rate": extra.get("Repetition rate").get("value")}
)
return result
if __name__=="__main__":
print("Warning: you're not supposed to be running this as the main program.")

View File

@@ -100,7 +100,9 @@ def chain_layer_to_target(layer_object):
def deduplicate_instruments_from_layers(layers): def deduplicate_instruments_from_layers(layers):
''' '''
Takes a list of Layer-class objects and for each layer gets the instruments used (laser, depo chamber and RHEED), returns deduplicated list. Ideally, the lists should only contain one element. Takes a list of Layer-class objects and for each layer gets the instruments used (laser, depo chamber and RHEED), returns dictionary with one item per category. This means that if more layers share the same instruments it returns a dictionary with just their names as strings (no lists or sub-dictionaries).
If different layers have different instruments (e.g. laser systems) the user is prompted to only select one.
''' '''
lasers = [] lasers = []
chambers = [] chambers = []
@@ -110,11 +112,57 @@ def deduplicate_instruments_from_layers(layers):
lasers.append(instruments["laser_system"]) lasers.append(instruments["laser_system"])
chambers.append(instruments["deposition_chamber"]) chambers.append(instruments["deposition_chamber"])
rheeds.append(instruments["rheed_system"]) rheeds.append(instruments["rheed_system"])
ded_lasers = list( set( lasers ) )
ded_chambers = list( set( chambers ) )
ded_rheeds = list( set( rheeds ) )
elegant_dict = {
# Keep key names human readable since they're used in the messages of the following errors
"Laser Systems": ded_lasers,
"Deposition Chamber": ded_chambers,
"RHEED Systems": ded_rheeds
} # dictionary's name's a joke
updated_dict = {} # use this for containing the final dataset
for ded in elegant_dict:
if len(elegant_dict[ded]) == 0:
# if len of list is 0 - empty list - raise error
raise IndexError(f"Missing data: no Laser System, Chamber and/or RHEED System is specified in any of the Deposition-type experiments related to this sample. Fix this on eLabFTW before retrying. Affected list: {ded}.")
elif len(elegant_dict[ded]) > 1:
# if len of list is > 1 - too many values - allow the user to pick one
print("Warning: different instruments have been used for different layers - which is currently not allowed.")
# there's a better way to do this but I can't remember now for the life of me...
i = 0
while i < len(elegant_dict[ded]):
print(f"{i} - {elegant_dict[ded][i]}")
i += 1
ans = None
while not type(ans) == int or not ans in range(0, len(elegant_dict[ded])):
ans = input("Please pick one of the previous (0, 1, ...) [default = 0]: ") or "0"
if ans.isdigit():
ans = int(ans)
continue # unnecessary?
updated_dict[ded] = elegant_dict[ded][ans]
elif elegant_dict[ded][0] in ["", 0, None]:
# if len is 1 BUT value is "", 0 or None raise error
raise ValueError(f"Missing data: a Laser System, Chamber and/or RHEED System which is specified across all the Deposition-type experiments related to this sample is either empty or invalid. Fix this on eLabFTW before retrying. Affected list: {ded}.")
else:
# if none of the previous (only 1 value), that single value is used
updated_dict[ded] = elegant_dict[ded][0]
instruments_used_dict = { instruments_used_dict = {
"laser_system": list( set( lasers ) ), "laser_system": updated_dict["Laser Systems"],
"deposition_chamber": list( set( chambers ) ), "deposition_chamber": updated_dict["Deposition Chamber"],
"rheed_system" : list( set( rheeds ) ), "rheed_system": updated_dict["RHEED Systems"],
} }
return instruments_used_dict
### OLD CODE
# if 0 in [ len(i) for i in elegant_list ]:
# # i.e. if length of one of the lists in elegant_list is zero (missing data):
# raise IndexError("Missing data: no Laser System, Chamber and/or RHEED System is specified in any of the Deposition-type experiments related to this sample.")
# if not all([ len(i) == 1 for i in elegant_list ]):
# print("Warning: different instruments have been used for different layers - which is currently not allowed.")
# # for every element in elegant list check if len > 1 and if it is
# print("Selecting the first occurence for every category...")
###
# lasers = { f"layer_{lyr.layer_number}": lyr.laser_system for lyr in layers } # lasers = { f"layer_{lyr.layer_number}": lyr.laser_system for lyr in layers }
# chambers = { f"layer_{lyr.layer_number}": lyr.deposition_chamber for lyr in layers } # chambers = { f"layer_{lyr.layer_number}": lyr.deposition_chamber for lyr in layers }
# rheeds = { f"layer_{lyr.layer_number}": lyr.rheed_system for lyr in layers } # rheeds = { f"layer_{lyr.layer_number}": lyr.rheed_system for lyr in layers }
@@ -123,7 +171,6 @@ def deduplicate_instruments_from_layers(layers):
# "deposition_chamber": chambers, # "deposition_chamber": chambers,
# "rheed_system": rheeds, # "rheed_system": rheeds,
# } # }
return instruments_used_dict
def make_nexus_schema_dictionary(substrate_object, layers): def make_nexus_schema_dictionary(substrate_object, layers):
''' '''
@@ -381,6 +428,17 @@ def build_nexus_file(pld_fabrication, output_path):
nx_post_annealing["duration"].attrs["units"] = post_ann_dict["duration"]["units"] nx_post_annealing["duration"].attrs["units"] = post_ann_dict["duration"]["units"]
except TypeError as te: except TypeError as te:
raise TypeError(te) raise TypeError(te)
# Instruments used section
nx_instruments = nx_pld_entry.create_group("instruments_used")
nx_instruments.attrs["NX_class"] = "NXinstrument"
instruments_dict = pld_fabrication["instruments_used"]
try:
nx_instruments.create_dataset("laser_system", data = instruments_dict["laser_system"])
nx_instruments.create_dataset("deposition_chamber", data = instruments_dict["deposition_chamber"])
nx_instruments.create_dataset("rheed_system", data = instruments_dict["rheed_system"])
except TypeError as te:
raise TypeError(te)
return return
if __name__=="__main__": if __name__=="__main__":