198 lines
10 KiB
Python
198 lines
10 KiB
Python
import os, json, requests
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from getpass import getpass
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from classes import Header
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def get_entry_from_elabid(elabid, entryType="items"):
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'''
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Function which returns entrypoint data (as dictionary) from its elabid.
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'''
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header = Header(apikey).dump
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response = requests.get(
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headers = header,
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url = f"{ELABFTW_API_URL}/{entryType}/{elabid}",
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verify=True
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)
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if response.status_code // 100 in [2,3]:
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entry_data = response.json()
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return entry_data
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else:
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raise ConnectionError(f"HTTP request failed with status code: {response.status_code}.")
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class Layer:
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'''
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Layer(layer_data) - where layer_data is a Python dictionary.
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Meant to be used for eLabFTW Experiments of the "PLD Deposition" category.
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eLabFTW experiments contain most of the data required by the NeXus file - although every layer is on a different eLab entry;
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unfortunately, some data like the target's chemical formula must be retrieved through additional HTTP requests.
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Attributes 'target_elabid', 'rheed_system_elabid' and 'laser_system_elabid' contain elabid's for these resources, which are all items.
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'''
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def __init__(self, layer_data):
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try:
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self.extra = layer_data["metadata_decoded"]["extra_fields"]
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self.target_elabid = self.extra["Target"]["value"] # elabid
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self.rheed_system_elabid = self.extra["RHEED System"]["value"] # elabid
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self.laser_system_elabid = self.extra["Laser System"]["value"] # elabid
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self.start_time = layer_data.get("created_at")
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self.operator = layer_data.get("fullname")
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self.description = layer_data.get("body")
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self.deposition_time = self.extra["Duration"]["value"]
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self.repetition_rate = self.extra["Repetition rate"]["value"]
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try:
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self.number_of_pulses = float(self.deposition_time) * float(self.repetition_rate)
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except ValueError:
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# Since number_of_pulses is required, if it can't be calculated raise error:
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raise ValueError("""
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Fatal: either Duration or Repetition Rate are empty or invalid.
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This has to be an error, since these fields are required by the NeXus standard.
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Please edit your eLabFTW entry and retry.
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""")
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self.temperature = self.extra["Heater temperature"]["value"] # Note: this field used to have a trailing space in its name
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self.process_pressure = self.extra["Process pressure"]["value"] # Note: this field used to have a trailing space in its name
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self.heating_method = self.extra["Heating Method"]["value"]
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self.layer_thickness = self.extra["Thickness"]["value"]
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self.buffer_gas = self.extra["Buffer gas"]["value"]
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self.heater_target_distance = self.extra["Heater-target distance"]["value"]
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self.laser_fluence = self.extra["Laser Intensity"]["value"] # here fluence = intensity
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self.laser_spot_area = self.extra["Spot Area"]["value"]
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try:
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self.laser_energy = float(self.laser_fluence) * float(self.laser_spot_area)
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except ValueError:
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# Since laser_energy is NOT required, if it can't be calculated warn user but allow the software to continue execution:
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print("""
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Warning: either Laser Intensity or Spot Area are empty or invalid.
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If you think this is an error, please edit your eLabFTW entry and retry.
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Setting Laser Energy to NoneType.
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""")
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# Placeholder
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self.laser_energy = None
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# Laser rasternig section
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self.laser_rastering_geometry = self.extra["Laser Rastering Geometry"]["value"]
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self.laser_rastering_positions = self.extra["Laser Rastering Position"]["value"]
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self.laser_rastering_velocities = self.extra["Laser Rastering Speed"]["value"]
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# Pre annealing section
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self.pre_annealing_ambient_gas = self.extra["Buffer gas Pre"]["value"]
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self.pre_annealing_pressure = self.extra["Process pressure Pre"]["value"]
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self.pre_annealing_temperature = self.extra["Heater temperature Pre"]["value"]
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self.pre_annealing_duration = self.extra["Duration Pre"]["value"]
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# Post annealing section
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self.post_annealing_ambient_gas = self.extra["Buffer gas PA"]["value"]
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self.post_annealing_pressure = self.extra["Process pressure PA"]["value"]
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self.post_annealing_temperature = self.extra["Heater temperature PA"]["value"]
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self.post_annealing_duration = self.extra["Duration PA"]["value"]
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# Rejected but suggested by the NeXus standard:
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#self.laser_rastering_coefficients = None
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except KeyError as k:
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# Some keys are not required and can be called through the .get() method - which is permissive and allows null values;
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# Other keys are required so if they can't be called (invalid or null) raise error and stop execution of the program:
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raise KeyError(f"The provided dictionary lacks a \"{k}\" key. Check the deposition layer entry on eLabFTW and make sure you used the correct Experiment template.")
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class Entrypoint:
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'''
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Entrypoint(sample_data) - where sample_data is a Python dictionary.
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Meant to be used for eLabFTW Resources of the "Sample" category.
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The entrypoint is the starting point of the process of resolving the data chain.
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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.
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'''
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def __init__(self, sample_data):
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try:
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self.extra = sample_data["metadata_decoded"]["extra_fields"]
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self.linked_items = sample_data["items_links"]
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self.batch_elabid = self.extra["Substrate batch"]["value"]
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self.linked_experiments = sample_data["related_experiments_links"]
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self.linked_experiments_elabid = [ i["entityid"] for i in self.linked_experiments ]
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except KeyError as k:
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# Some keys are not required and can be called through the .get() method - which is permissive and allows null values;
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# Other keys are required so if they can't be called (invalid or null) raise error and stop execution of the program:
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raise KeyError(f"The provided dictionary lacks a \"{k}\" key. Check the sample entry on eLabFTW and make sure you used the correct Resource template.")
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# Non-required attributes:
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self.name = sample_data.get("title") or None # error prevention is more important than preventing empty fields here
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class Material:
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'''
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Material(material_data) - where material_data is a Python dictionary.
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Meant to be used for eLabFTW Resources of either the "PLD Target" or the "Substrate" categories.
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Both a PLD Target and a Substrate are materials made of a certain compound, of which we want to know:
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* Name and formula;
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* Shape and dimensions;
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* Misc.
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'''
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def __init__(self, material_data):
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try:
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self.extra = material_data["metadata_decoded"]["extra_fields"]
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self.compound_elabid = self.extra["Compound"]["value"]
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except KeyError as k:
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# Some keys are not required and can be called through the .get() method - which is permissive and allows null values;
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# Other keys are required so if they can't be called (invalid or null) raise error and stop execution of the program:
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raise KeyError(f"The provided dictionary lacks a \"{k}\" key. Check the target/substrate entry on eLabFTW and make sure you used the correct Resource template.")
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def get_compound_data(self):
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raw_compound_data = get_entry_from_elabid(self.compound_elabid, entryType="items")
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name = raw_compound_data["title"]
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extra = raw_compound_data["metadata_decoded"]["extra_fields"]
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formula = extra.get("Chemical formula")
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cas = extra.get("CAS number ") or { "value": None }
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compound_data = {
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"name" : name,
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"chemical_formula" : formula.get("value"),
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"cas_number" : cas.get("value")
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}
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return compound_data
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def get_compound_formula(self):
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formula = self.get_compound_data().get("chemical_formula")
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return formula
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if __name__=="__main__":
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print(f"=======================\n===== DEBUG MODE! =====\n=======================\n")
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ELABFTW_API_URL = "https://elabftw.fisica.unina.it/api/v2"
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apikey = getpass("Paste API key here: ")
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# TEST. In production the entryType will probably just be "items" since the entrypoint is an item (sample).
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entryType = None
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while entryType not in ["items", "experiments"]:
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eT = input("Enter a valid entry type [items, experiments]: ")
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# This allows for a shortcut: instead of prompting the type before and the elabid after I can just prompt both at the same time - e.g. e51 is exp. 51, i1108 is item 1108...
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if eT[0] in ["e", "i"] and eT[-1].isnumeric():
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try:
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elabid = int(eT[1:])
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eT = eT[0]
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except Exception:
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print("Usage: i|item|items|i[ELABID] for items, e|experiment|experiments|e[ELABID] for experiments.")
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pass
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match eT:
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case "items" | "i" | "item":
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entryType = "items"
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case "experiments" | "e" | "exp" | "experiment":
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entryType = "experiments"
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case _:
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pass
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# This will probably be reworked in production
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try:
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elabid = elabid
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except NameError:
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elabid = input("Input elabid here [default = 1111]: ") or 1111
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data = get_entry_from_elabid(elabid, entryType)
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if entryType == "experiments":
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layer = Layer(data)
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result = layer.__dict__
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result.pop("extra")
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print(result)
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elif entryType == "items":
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if data.get("category_title") == "Sample":
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item = Entrypoint(data)
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elif data.get("category_title") in ["PLD Target", "Substrate"]:
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item = Material(data)
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print(item.get_compound_formula())
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result = item.__dict__
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result.pop("extra")
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print(result)
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# print(json.dumps(chain.sample_data))
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# print(json.dumps(chain.linked_experiments))
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# print(chain.batch_elabid) |