Source code for pylipd.classes.paleodata


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# Auto-generated. Do not Edit
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import re
from pylipd.utils import uniqid
from pylipd.classes.datatable import DataTable
from pylipd.classes.model import Model

[docs] class PaleoData: """Auto-generated LinkedEarth class representing `PaleoData`.""" def __init__(self): """Initialize a new PaleoData instance.""" self.measurementTables: list[DataTable] = [] self.modeledBy: list[Model] = [] self.name: str = None self.misc = {} self.ontns = "http://linked.earth/ontology#" self.ns = "http://linked.earth/lipd" self.type = "http://linked.earth/ontology#PaleoData" self.id = self.ns + "/" + uniqid("PaleoData.")
[docs] @staticmethod def from_data(id, data) -> 'PaleoData': """Instantiate `PaleoData` from an ontology-style data graph. Parameters ---------- id : str The node identifier for this object. data : dict Dictionary mapping node ids to their predicate lists. Returns ------- PaleoData The populated `PaleoData` instance. """ self = PaleoData() self.id = id mydata = data[id] for key in mydata: value = mydata[key] obj = None if key == "type": for val in value: self.type = val["@id"] elif key == "hasMeasurementTable": for val in value: if "@id" in val: obj = DataTable.from_data(val["@id"], data) else: obj = val["@value"] self.measurementTables.append(obj) elif key == "hasName": for val in value: if "@value" in val: obj = val["@value"] self.name = obj elif key == "modeledBy": for val in value: if "@id" in val: obj = Model.from_data(val["@id"], data) else: obj = val["@value"] self.modeledBy.append(obj) else: for val in value: obj = None if "@id" in val: obj = data[val["@id"]] elif "@value" in val: obj = val["@value"] self.set_non_standard_property(key, obj) return self
[docs] def to_data(self, data={}): """Serialize the object into a JSON-LD compatible dictionary. Parameters ---------- data : dict, optional Existing data dictionary to extend. Returns ------- dict The updated data dictionary. """ data[self.id] = {} data[self.id]["type"] = [ { "@id": self.type, "@type": "uri" } ] if len(self.measurementTables): data[self.id]["hasMeasurementTable"] = [] for value_obj in self.measurementTables: if type(value_obj) is str: obj = { "@value": value_obj, "@type": "literal", "@datatype": "http://www.w3.org/2001/XMLSchema#string" } else: obj = { "@id": value_obj.id, "@type": "uri" } data = value_obj.to_data(data) data[self.id]["hasMeasurementTable"].append(obj) if len(self.modeledBy): data[self.id]["modeledBy"] = [] for value_obj in self.modeledBy: if type(value_obj) is str: obj = { "@value": value_obj, "@type": "literal", "@datatype": "http://www.w3.org/2001/XMLSchema#string" } else: obj = { "@id": value_obj.id, "@type": "uri" } data = value_obj.to_data(data) data[self.id]["modeledBy"].append(obj) if self.name: value_obj = self.name obj = { "@value": value_obj, "@type": "literal", "@datatype": "http://www.w3.org/2001/XMLSchema#string" } data[self.id]["hasName"] = [obj] for key in self.misc: value = self.misc[key] data[self.id][key] = [] ptype = None tp = type(value).__name__ if tp == "int": ptype = "http://www.w3.org/2001/XMLSchema#integer" elif tp == "float" or tp == "double": ptype = "http://www.w3.org/2001/XMLSchema#float" elif tp == "str": if re.match(r"\d{4}-\d{2}-\d{2}( |T)\d{2}:\d{2}:\d{2}", value): ptype = "http://www.w3.org/2001/XMLSchema#datetime" elif re.match(r"\d{4}-\d{2}-\d{2}", value): ptype = "http://www.w3.org/2001/XMLSchema#date" else: ptype = "http://www.w3.org/2001/XMLSchema#string" elif tp == "bool": ptype = "http://www.w3.org/2001/XMLSchema#boolean" data[self.id][key].append({ "@value": value, "@type": "literal", "@datatype": ptype }) return data
[docs] def to_json(self): """Return a lightweight JSON representation (used by LiPD). Returns ------- dict A dictionary representation of this object. """ data = { "@id": self.id } if len(self.measurementTables): data["measurementTable"] = [] for value_obj in self.measurementTables: obj = value_obj.to_json() data["measurementTable"].append(obj) if len(self.modeledBy): data["model"] = [] for value_obj in self.modeledBy: obj = value_obj.to_json() data["model"].append(obj) if self.name: value_obj = self.name obj = value_obj data["paleoDataName"] = obj for key in self.misc: value = self.misc[key] data[key] = value return data
[docs] @staticmethod def from_json(data) -> 'PaleoData': """Instantiate `PaleoData` from its lightweight JSON representation. Parameters ---------- data : dict The JSON dictionary to parse. Returns ------- PaleoData The populated `PaleoData` instance. """ self = PaleoData() for key in data: pvalue = data[key] if key == "@id": self.id = pvalue elif key == "measurementTable": for value in pvalue: obj = DataTable.from_json(value) self.measurementTables.append(obj) elif key == "model": for value in pvalue: obj = Model.from_json(value) self.modeledBy.append(obj) elif key == "paleoDataName": value = pvalue obj = value self.name = obj else: self.set_non_standard_property(key, pvalue) return self
[docs] def set_non_standard_property(self, key, value): """Store a predicate that is not defined in the ontology schema. This is useful for forward-compatibility with new properties that are not yet part of the official schema. Parameters ---------- key : str The property name. value : any The property value. """ if key not in self.misc: self.misc[key] = value
[docs] def get_non_standard_property(self, key): """Return a single non-standard property by key. Parameters ---------- key : str The property name. Returns ------- any The property value. """ return self.misc[key]
[docs] def get_all_non_standard_properties(self): """Return the dictionary of all non-standard properties. Returns ------- dict Dictionary of all non-standard properties. """ return self.misc
[docs] def add_non_standard_property(self, key, value): """Append a value to a list-valued non-standard property. Parameters ---------- key : str The property name. value : any The value to append. """ if key not in self.misc: self.misc[key] = [] self.misc[key].append(value)
[docs] def getMeasurementTables(self) -> list[DataTable]: """Get measurementTables list. Returns ------- list[DataTable] A list of DataTable objects. """ return self.measurementTables
[docs] def setMeasurementTables(self, measurementTables:list[DataTable]): """Set the measurementTables list. Parameters ---------- measurementTables : list[DataTable] The list to assign. """ assert isinstance(measurementTables, list), "Error: measurementTables is not a list" assert all(isinstance(x, DataTable) for x in measurementTables), f"Error: '{measurementTables}' is not of type DataTable" self.measurementTables = measurementTables
[docs] def addMeasurementTable(self, measurementTables:DataTable): """Add a value to the measurementTables list. Parameters ---------- measurementTables : DataTable The value to append. """ assert isinstance(measurementTables, DataTable), f"Error: '{measurementTables}' is not of type DataTable" self.measurementTables.append(measurementTables)
[docs] def getModeledBy(self) -> list[Model]: """Get modeledBy list. Returns ------- list[Model] A list of Model objects. """ return self.modeledBy
[docs] def setModeledBy(self, modeledBy:list[Model]): """Set the modeledBy list. Parameters ---------- modeledBy : list[Model] The list to assign. """ assert isinstance(modeledBy, list), "Error: modeledBy is not a list" assert all(isinstance(x, Model) for x in modeledBy), f"Error: '{modeledBy}' is not of type Model" self.modeledBy = modeledBy
[docs] def addModeledBy(self, modeledBy:Model): """Add a value to the modeledBy list. Parameters ---------- modeledBy : Model The value to append. """ assert isinstance(modeledBy, Model), f"Error: '{modeledBy}' is not of type Model" self.modeledBy.append(modeledBy)
[docs] def getName(self) -> str: """Get name. Returns ------- str The current value of name. """ return self.name
[docs] def setName(self, name:str): """Set name. Parameters ---------- name : str The value to assign. """ assert isinstance(name, str), f"Error: '{name}' is not of type str" self.name = name