diff --git a/gui/src/metainfo.json b/gui/src/metainfo.json index 85899958ff0f5eff61aba85a36a390f1973a49cc..93d3ccc0b06052bc9964c79a900efd1c2314bf1c 100644 --- a/gui/src/metainfo.json +++ b/gui/src/metainfo.json @@ -49796,6 +49796,32 @@ "m_def": "nomad.metainfo.metainfo.Section", "m_parent_index": 0, "m_parent_sub_section": "section_definitions", + "name": "User", + "quantities": [ + { + "m_def": "nomad.metainfo.metainfo.Quantity", + "m_parent_index": 0, + "m_parent_sub_section": "quantities", + "m_annotations": { + "eln": [ + { + "component": "AuthorEditQuantity" + } + ] + }, + "name": "user", + "description": "The corresponding user for the activity.", + "type": { + "type_kind": "Author", + "type_data": "Author" + } + } + ] + }, + { + "m_def": "nomad.metainfo.metainfo.Section", + "m_parent_index": 1, + "m_parent_sub_section": "section_definitions", "name": "ElnBaseSection", "description": "A generic abstract base section for ELNs that provides a few commonly used properties. If you inherit from this section, but do not need some quantities, list those\nquantities in the `eln.hide` annotation of your inheriting section definition.\n\nBesides predefining some quantities, these base sections will add some metadata\nto NOMAD's search. A particular example are `tags`, if you define a string\nor enum quantity in your sections named `tags`, its values will be searchable.", "base_sections": [ @@ -49804,7 +49830,705 @@ "quantities": [ { "m_def": "nomad.metainfo.metainfo.Quantity", - "m_parent_index": 0, + "m_parent_index": 0, + "m_parent_sub_section": "quantities", + "m_annotations": { + "eln": [ + { + "component": "StringEditQuantity", + "label": "Short name" + } + ] + }, + "name": "name", + "description": "A short human readable and descriptive name.", + "type": { + "type_kind": "python", + "type_data": "str" + } + }, + { + "m_def": "nomad.metainfo.metainfo.Quantity", + "m_parent_index": 1, + "m_parent_sub_section": "quantities", + "m_annotations": { + "eln": [ + { + "component": "DateTimeEditQuantity" + } + ] + }, + "name": "datetime", + "description": "The date and time associated with this section.", + "type": { + "type_kind": "custom", + "type_data": "nomad.metainfo.metainfo._Datetime" + } + }, + { + "m_def": "nomad.metainfo.metainfo.Quantity", + "m_parent_index": 2, + "m_parent_sub_section": "quantities", + "m_annotations": { + "eln": [ + { + "component": "StringEditQuantity", + "label": "ID" + } + ] + }, + "name": "lab_id", + "description": "An ID string that is unique at least for the lab that produced this\ndata. Will be generated automatically upon saving if name, users and institute\nis filled.", + "type": { + "type_kind": "python", + "type_data": "str" + } + }, + { + "m_def": "nomad.metainfo.metainfo.Quantity", + "m_parent_index": 3, + "m_parent_sub_section": "quantities", + "m_annotations": { + "eln": [ + { + "component": "RichTextEditQuantity" + } + ] + }, + "name": "description", + "description": "Any information that cannot be captured in the other fields.", + "type": { + "type_kind": "python", + "type_data": "str" + } + } + ], + "sub_sections": [ + { + "m_def": "nomad.metainfo.metainfo.SubSection", + "m_parent_index": 0, + "m_parent_sub_section": "sub_sections", + "name": "users", + "description": "The responsible person for this archive entry.", + "sub_section": "/packages/8/section_definitions/0", + "repeats": true + } + ] + }, + { + "m_def": "nomad.metainfo.metainfo.Section", + "m_parent_index": 2, + "m_parent_sub_section": "section_definitions", + "name": "Entity", + "description": "A ELN base section that can be used for chemicals.", + "base_sections": [ + "/packages/8/section_definitions/1" + ] + }, + { + "m_def": "nomad.metainfo.metainfo.Section", + "m_parent_index": 3, + "m_parent_sub_section": "section_definitions", + "name": "Activity", + "description": "A generic abstract base section for ELNs that provides a few commonly used for laboratory activities, e.g. processes, characterizations, measurements, etc.", + "base_sections": [ + "/packages/8/section_definitions/1" + ], + "quantities": [ + { + "m_def": "nomad.metainfo.metainfo.Quantity", + "m_parent_index": 0, + "m_parent_sub_section": "quantities", + "m_annotations": { + "eln": [ + { + "component": "DateTimeEditQuantity", + "label": "Starting Time" + } + ] + }, + "name": "datetime", + "description": "The date and time when this activity was started.", + "type": { + "type_kind": "custom", + "type_data": "nomad.metainfo.metainfo._Datetime" + } + }, + { + "m_def": "nomad.metainfo.metainfo.Quantity", + "m_parent_index": 1, + "m_parent_sub_section": "quantities", + "m_annotations": { + "eln": [ + { + "component": "DateTimeEditQuantity", + "label": "Ending Time" + } + ] + }, + "name": "end_time", + "description": "The date and time when this activity was done.", + "type": { + "type_kind": "custom", + "type_data": "nomad.metainfo.metainfo._Datetime" + } + }, + { + "m_def": "nomad.metainfo.metainfo.Quantity", + "m_parent_index": 2, + "m_parent_sub_section": "quantities", + "name": "method", + "description": "A short consistent handle for the applied method.", + "type": { + "type_kind": "python", + "type_data": "str" + } + }, + { + "m_def": "nomad.metainfo.metainfo.Quantity", + "m_parent_index": 3, + "m_parent_sub_section": "quantities", + "m_annotations": { + "eln": [ + { + "component": "StringEditQuantity" + } + ] + }, + "name": "location", + "description": "location of the experiment.", + "type": { + "type_kind": "python", + "type_data": "str" + } + } + ] + }, + { + "m_def": "nomad.metainfo.metainfo.Section", + "m_parent_index": 4, + "m_parent_sub_section": "section_definitions", + "name": "ElementalComposition", + "description": "A section for describing the elemental composition of a system, i.e. the element and its atomic fraction.", + "more": { + "label_quantity": "element" + }, + "quantities": [ + { + "m_def": "nomad.metainfo.metainfo.Quantity", + "m_parent_index": 0, + "m_parent_sub_section": "quantities", + "m_annotations": { + "eln": [ + { + "component": "EnumEditQuantity" + } + ] + }, + "name": "element", + "description": "The symbol of the element, e.g. 'Pb'.", + "type": { + "type_kind": "Enum", + "type_data": [ + "H", + "He", + "Li", + "Be", + "B", + "C", + "N", + "O", + "F", + "Ne", + "Na", + "Mg", + "Al", + "Si", + "P", + "S", + "Cl", + "Ar", + "K", + "Ca", + "Sc", + "Ti", + "V", + "Cr", + "Mn", + "Fe", + "Co", + "Ni", + "Cu", + "Zn", + "Ga", + "Ge", + "As", + "Se", + "Br", + "Kr", + "Rb", + "Sr", + "Y", + "Zr", + "Nb", + "Mo", + "Tc", + "Ru", + "Rh", + "Pd", + "Ag", + "Cd", + "In", + "Sn", + "Sb", + "Te", + "I", + "Xe", + "Cs", + "Ba", + "La", + "Ce", + "Pr", + "Nd", + "Pm", + "Sm", + "Eu", + "Gd", + "Tb", + "Dy", + "Ho", + "Er", + "Tm", + "Yb", + "Lu", + "Hf", + "Ta", + "W", + "Re", + "Os", + "Ir", + "Pt", + "Au", + "Hg", + "Tl", + "Pb", + "Bi", + "Po", + "At", + "Rn", + "Fr", + "Ra", + "Ac", + "Th", + "Pa", + "U", + "Np", + "Pu", + "Am", + "Cm", + "Bk", + "Cf", + "Es", + "Fm", + "Md", + "No", + "Lr", + "Rf", + "Db", + "Sg", + "Bh", + "Hs", + "Mt", + "Ds", + "Rg", + "Cn", + "Nh", + "Fl", + "Mc", + "Lv", + "Ts", + "Og" + ] + } + }, + { + "m_def": "nomad.metainfo.metainfo.Quantity", + "m_parent_index": 1, + "m_parent_sub_section": "quantities", + "m_annotations": { + "eln": [ + { + "component": "NumberEditQuantity" + } + ] + }, + "name": "atomic_fraction", + "description": "The atomic fraction of the element in the system it is contained within.\nPer definition a positive value less than or equal to 1.", + "type": { + "type_kind": "numpy", + "type_data": "float64" + } + } + ] + }, + { + "m_def": "nomad.metainfo.metainfo.Section", + "m_parent_index": 5, + "m_parent_sub_section": "section_definitions", + "name": "System", + "description": "A base class for any system of materials which is investigated or used to construct other systems.", + "base_sections": [ + "/packages/8/section_definitions/2" + ], + "sub_sections": [ + { + "m_def": "nomad.metainfo.metainfo.SubSection", + "m_parent_index": 0, + "m_parent_sub_section": "sub_sections", + "name": "elemental_composition", + "description": "A list of all the elements found in the system together and their respective\natomic fraction within the system.", + "sub_section": "/packages/8/section_definitions/4", + "repeats": true + } + ] + }, + { + "m_def": "nomad.metainfo.metainfo.Section", + "m_parent_index": 6, + "m_parent_sub_section": "section_definitions", + "name": "Instrument", + "description": "A ELN base section that can be used for instruments.", + "base_sections": [ + "/packages/8/section_definitions/1" + ] + }, + { + "m_def": "nomad.metainfo.metainfo.Section", + "m_parent_index": 7, + "m_parent_sub_section": "section_definitions", + "name": "Process", + "description": "A ELN base section that can be used for processes.", + "base_sections": [ + "/packages/8/section_definitions/3" + ] + }, + { + "m_def": "nomad.metainfo.metainfo.Section", + "m_parent_index": 8, + "m_parent_sub_section": "section_definitions", + "name": "Measurement", + "description": "A ELN base section that can be used for measurements.", + "base_sections": [ + "/packages/8/section_definitions/3" + ] + }, + { + "m_def": "nomad.metainfo.metainfo.Section", + "m_parent_index": 9, + "m_parent_sub_section": "section_definitions", + "name": "Component", + "description": "A section for describing a component and its role in an ensemble.", + "base_sections": [ + "/packages/58/section_definitions/0" + ], + "quantities": [ + { + "m_def": "nomad.metainfo.metainfo.Quantity", + "m_parent_index": 0, + "m_parent_sub_section": "quantities", + "m_annotations": { + "eln": [ + { + "component": "StringEditQuantity", + "label": "Component name" + } + ] + }, + "name": "name", + "description": "A short name for the component.", + "type": { + "type_kind": "python", + "type_data": "str" + } + }, + { + "m_def": "nomad.metainfo.metainfo.Quantity", + "m_parent_index": 1, + "m_parent_sub_section": "quantities", + "m_annotations": { + "eln": [ + { + "component": "ReferenceEditQuantity" + } + ] + }, + "name": "system", + "description": "A reference to the component system.", + "type": { + "type_kind": "reference", + "type_data": "/packages/8/section_definitions/5" + } + }, + { + "m_def": "nomad.metainfo.metainfo.Quantity", + "m_parent_index": 2, + "m_parent_sub_section": "quantities", + "m_annotations": { + "eln": [ + { + "component": "NumberEditQuantity", + "defaultDisplayUnit": "mg" + } + ] + }, + "name": "mass", + "description": "The mass of the component.", + "type": { + "type_kind": "numpy", + "type_data": "float64" + }, + "unit": "kilogram" + } + ] + }, + { + "m_def": "nomad.metainfo.metainfo.Section", + "m_parent_index": 10, + "m_parent_sub_section": "section_definitions", + "name": "Ensemble", + "description": "A base class for an ensemble of material systems. Each component of the ensemble is of a (sub)type of `System`.", + "base_sections": [ + "/packages/8/section_definitions/5" + ], + "sub_sections": [ + { + "m_def": "nomad.metainfo.metainfo.SubSection", + "m_parent_index": 0, + "m_parent_sub_section": "sub_sections", + "name": "components", + "description": "A list of all the components of the ensemble containing a name, reference to the\nsystem section and mass of that component.", + "sub_section": "/packages/8/section_definitions/9", + "repeats": true + } + ] + }, + { + "m_def": "nomad.metainfo.metainfo.Section", + "m_parent_index": 11, + "m_parent_sub_section": "section_definitions", + "name": "CASExperimentalProperty", + "description": "A section for experimental properties retrieved from the CAS API.", + "quantities": [ + { + "m_def": "nomad.metainfo.metainfo.Quantity", + "m_parent_index": 0, + "m_parent_sub_section": "quantities", + "name": "name", + "description": "CAS experimental property name.", + "type": { + "type_kind": "python", + "type_data": "str" + } + }, + { + "m_def": "nomad.metainfo.metainfo.Quantity", + "m_parent_index": 1, + "m_parent_sub_section": "quantities", + "name": "property", + "description": "CAS experimental property.", + "type": { + "type_kind": "python", + "type_data": "str" + } + }, + { + "m_def": "nomad.metainfo.metainfo.Quantity", + "m_parent_index": 2, + "m_parent_sub_section": "quantities", + "name": "sourceNumber", + "description": "CAS experimental property source.", + "type": { + "type_kind": "python", + "type_data": "str" + } + } + ] + }, + { + "m_def": "nomad.metainfo.metainfo.Section", + "m_parent_index": 12, + "m_parent_sub_section": "section_definitions", + "name": "CASPropertyCitation", + "description": "A section for citations of the experimental properties retrieved from the CAS API.", + "quantities": [ + { + "m_def": "nomad.metainfo.metainfo.Quantity", + "m_parent_index": 0, + "m_parent_sub_section": "quantities", + "name": "docUri", + "description": "CAS property citation document uri.", + "type": { + "type_kind": "python", + "type_data": "str" + } + }, + { + "m_def": "nomad.metainfo.metainfo.Quantity", + "m_parent_index": 1, + "m_parent_sub_section": "quantities", + "name": "sourceNumber", + "more": { + "decription": "CAS property citation source number." + }, + "type": { + "type_kind": "python", + "type_data": "int" + } + }, + { + "m_def": "nomad.metainfo.metainfo.Quantity", + "m_parent_index": 2, + "m_parent_sub_section": "quantities", + "name": "source", + "description": "CAS property citation source.", + "type": { + "type_kind": "python", + "type_data": "str" + } + } + ] + }, + { + "m_def": "nomad.metainfo.metainfo.Section", + "m_parent_index": 13, + "m_parent_sub_section": "section_definitions", + "name": "Substance", + "description": "A base section for any substance defined in the ELN.", + "base_sections": [ + "/packages/8/section_definitions/5" + ], + "quantities": [ + { + "m_def": "nomad.metainfo.metainfo.Quantity", + "m_parent_index": 0, + "m_parent_sub_section": "quantities", + "m_annotations": { + "eln": [ + { + "component": "StringEditQuantity", + "label": "Substance name" + } + ] + }, + "name": "name", + "description": "The name of the substance entry.", + "type": { + "type_kind": "python", + "type_data": "str" + } + }, + { + "m_def": "nomad.metainfo.metainfo.Quantity", + "m_parent_index": 1, + "m_parent_sub_section": "quantities", + "m_annotations": { + "eln": [ + { + "component": "StringEditQuantity", + "label": "Substance ID" + } + ] + }, + "name": "lab_id", + "description": "A human human readable substance ID that is at least unique for the lab.", + "type": { + "type_kind": "python", + "type_data": "str" + } + }, + { + "m_def": "nomad.metainfo.metainfo.Quantity", + "m_parent_index": 2, + "m_parent_sub_section": "quantities", + "m_annotations": { + "eln": [ + { + "component": "StringEditQuantity", + "label": "CAS uri" + } + ] + }, + "name": "cas_uri", + "description": "CAS uri", + "type": { + "type_kind": "python", + "type_data": "str" + } + }, + { + "m_def": "nomad.metainfo.metainfo.Quantity", + "m_parent_index": 3, + "m_parent_sub_section": "quantities", + "m_annotations": { + "eln": [ + { + "component": "StringEditQuantity", + "label": "CAS number" + } + ] + }, + "name": "cas_number", + "description": "CAS number.", + "type": { + "type_kind": "python", + "type_data": "str" + } + }, + { + "m_def": "nomad.metainfo.metainfo.Quantity", + "m_parent_index": 4, + "m_parent_sub_section": "quantities", + "m_annotations": { + "eln": [ + { + "component": "StringEditQuantity", + "label": "CAS name" + } + ] + }, + "name": "cas_name", + "description": "CAS name.", + "type": { + "type_kind": "python", + "type_data": "str" + } + }, + { + "m_def": "nomad.metainfo.metainfo.Quantity", + "m_parent_index": 5, + "m_parent_sub_section": "quantities", + "m_annotations": { + "eln": [ + { + "component": "FileEditQuantity" + } + ], + "browser": [ + { + "adaptor": "RawFileAdaptor" + } + ] + }, + "name": "image", + "description": "CAS image.", + "type": { + "type_kind": "python", + "type_data": "str" + } + }, + { + "m_def": "nomad.metainfo.metainfo.Quantity", + "m_parent_index": 6, "m_parent_sub_section": "quantities", "m_annotations": { "eln": [ @@ -49813,8 +50537,8 @@ } ] }, - "name": "name", - "description": "A short human readable and descriptive name.", + "name": "inchi", + "description": "CAS inchi.", "type": { "type_kind": "python", "type_data": "str" @@ -49822,7 +50546,7 @@ }, { "m_def": "nomad.metainfo.metainfo.Quantity", - "m_parent_index": 1, + "m_parent_index": 7, "m_parent_sub_section": "quantities", "m_annotations": { "eln": [ @@ -49831,8 +50555,8 @@ } ] }, - "name": "lab_id", - "description": "A id string that is unique at least for the lab that produced this data.", + "name": "inchi_key", + "description": "CAS inchi key.", "type": { "type_kind": "python", "type_data": "str" @@ -49840,58 +50564,53 @@ }, { "m_def": "nomad.metainfo.metainfo.Quantity", - "m_parent_index": 2, + "m_parent_index": 8, "m_parent_sub_section": "quantities", "m_annotations": { "eln": [ { - "component": "RichTextEditQuantity" + "component": "StringEditQuantity" } ] }, - "name": "description", - "description": "A human description. This provides room for human readable information that could not be captured in the ELN.", + "name": "smile", + "description": "CAS smile.", "type": { "type_kind": "python", "type_data": "str" } - } - ] - }, - { - "m_def": "nomad.metainfo.metainfo.Section", - "m_parent_index": 1, - "m_parent_sub_section": "section_definitions", - "name": "ElnActivityBaseSection", - "description": "A generic abstract base section for ELNs that provides a few commonly used for laboratory activities, e.g. processes, characterizations, measurements, etc.", - "base_sections": [ - "/packages/8/section_definitions/0" - ], - "quantities": [ + }, { "m_def": "nomad.metainfo.metainfo.Quantity", - "m_parent_index": 0, + "m_parent_index": 9, "m_parent_sub_section": "quantities", "m_annotations": { "eln": [ { - "component": "DateTimeEditQuantity" + "component": "StringEditQuantity" } ] }, - "name": "datetime", - "description": "The date and time when this activity was done.", + "name": "canonical_smile", + "description": "CAS canonical smile.", "type": { - "type_kind": "custom", - "type_data": "nomad.metainfo.metainfo._Datetime" + "type_kind": "python", + "type_data": "str" } }, { "m_def": "nomad.metainfo.metainfo.Quantity", - "m_parent_index": 1, + "m_parent_index": 10, "m_parent_sub_section": "quantities", - "name": "method", - "description": "A short consistent handle for the applied method.", + "m_annotations": { + "eln": [ + { + "component": "StringEditQuantity" + } + ] + }, + "name": "molecular_formula", + "description": "CAS molecular formula.", "type": { "type_kind": "python", "type_data": "str" @@ -49899,107 +50618,79 @@ }, { "m_def": "nomad.metainfo.metainfo.Quantity", - "m_parent_index": 2, + "m_parent_index": 11, "m_parent_sub_section": "quantities", "m_annotations": { "eln": [ { - "component": "AuthorEditQuantity" + "component": "NumberEditQuantity" } ] }, - "name": "user", - "description": "The corresponding user for the activity.", + "name": "molecular_mass", + "description": "CAS molecular mass.", "type": { - "type_kind": "Author", - "type_data": "Author" - } - } - ] - }, - { - "m_def": "nomad.metainfo.metainfo.Section", - "m_parent_index": 2, - "m_parent_sub_section": "section_definitions", - "name": "ElnWithFormulaBaseSection", - "description": "A generic abstract base section for ELNs that provides a few commonly used for items with a chemical formula, e.g. chemicals or samples.", - "base_sections": [ - "/packages/8/section_definitions/0" - ], - "quantities": [ + "type_kind": "numpy", + "type_data": "float64" + }, + "unit": "dalton" + }, { "m_def": "nomad.metainfo.metainfo.Quantity", - "m_parent_index": 0, + "m_parent_index": 12, + "m_parent_sub_section": "quantities", + "name": "cas_synonyms", + "description": "CAS synonyms.", + "type": { + "type_kind": "python", + "type_data": "str" + }, + "shape": [ + "*" + ] + }, + { + "m_def": "nomad.metainfo.metainfo.Quantity", + "m_parent_index": 13, "m_parent_sub_section": "quantities", "m_annotations": { "eln": [ { - "component": "StringEditQuantity" + "component": "RichTextEditQuantity", + "label": "Detailed substance description" } ] }, - "name": "chemical_formula", - "description": "The chemical formula. This will be used directly and indirectly in the search. The formula will be used itself as well as the extracted chemical elements.", + "name": "description", + "description": "A field for adding additional information about the substance that is not captured\nby the other quantities and subsections.", "type": { "type_kind": "python", "type_data": "str" } } + ], + "sub_sections": [ + { + "m_def": "nomad.metainfo.metainfo.SubSection", + "m_parent_index": 0, + "m_parent_sub_section": "sub_sections", + "name": "cas_experimental_properties", + "sub_section": "/packages/8/section_definitions/11", + "repeats": true + }, + { + "m_def": "nomad.metainfo.metainfo.SubSection", + "m_parent_index": 1, + "m_parent_sub_section": "sub_sections", + "name": "cas_property_citations", + "sub_section": "/packages/8/section_definitions/12", + "repeats": true + } ] }, { "m_def": "nomad.metainfo.metainfo.Section", - "m_parent_index": 3, - "m_parent_sub_section": "section_definitions", - "name": "Chemical", - "description": "A ELN base section that can be used for chemicals.", - "base_sections": [ - "/packages/8/section_definitions/2" - ] - }, - { - "m_def": "nomad.metainfo.metainfo.Section", - "m_parent_index": 4, - "m_parent_sub_section": "section_definitions", - "name": "Sample", - "description": "A ELN base section that can be used for samples.", - "base_sections": [ - "/packages/8/section_definitions/2" - ] - }, - { - "m_def": "nomad.metainfo.metainfo.Section", - "m_parent_index": 5, - "m_parent_sub_section": "section_definitions", - "name": "Instrument", - "description": "A ELN base section that can be used for instruments.", - "base_sections": [ - "/packages/8/section_definitions/0" - ] - }, - { - "m_def": "nomad.metainfo.metainfo.Section", - "m_parent_index": 6, - "m_parent_sub_section": "section_definitions", - "name": "Process", - "description": "A ELN base section that can be used for processes.", - "base_sections": [ - "/packages/8/section_definitions/1" - ] - }, - { - "m_def": "nomad.metainfo.metainfo.Section", - "m_parent_index": 7, - "m_parent_sub_section": "section_definitions", - "name": "Measurement", - "description": "A ELN base section that can be used for measurements.", - "base_sections": [ - "/packages/8/section_definitions/1" - ] - }, - { - "m_def": "nomad.metainfo.metainfo.Section", - "m_parent_index": 8, + "m_parent_index": 14, "m_parent_sub_section": "section_definitions", "name": "SampleID", "description": "A ELN base section that can be used for sample IDs. If the `sample_owner`, `sample_short_name`, `\u00ecnstitute`, and `creation_datetime`\nquantities are provided, the sample_id will be automatically created as a combination\nof these four quantities.", @@ -50097,55 +50788,12 @@ "type_kind": "python", "type_data": "str" } - }, - { - "m_def": "nomad.metainfo.metainfo.Quantity", - "m_parent_index": 5, - "m_parent_sub_section": "quantities", - "m_annotations": { - "eln": [ - { - "component": "ReferenceEditQuantity" - } - ] - }, - "name": "children", - "more": { - "descriptions": "A reference to a sample which are children of this one." - }, - "type": { - "type_kind": "reference", - "type_data": "/packages/8/section_definitions/8" - }, - "shape": [ - "*" - ] - }, - { - "m_def": "nomad.metainfo.metainfo.Quantity", - "m_parent_index": 6, - "m_parent_sub_section": "quantities", - "m_annotations": { - "eln": [ - { - "component": "ReferenceEditQuantity" - } - ] - }, - "name": "parents", - "more": { - "descriptions": "A reference to sample which are parents of this one." - }, - "type": { - "type_kind": "reference", - "type_data": "/packages/8/section_definitions/8" - } } ] }, { "m_def": "nomad.metainfo.metainfo.Section", - "m_parent_index": 9, + "m_parent_index": 15, "m_parent_sub_section": "section_definitions", "name": "PublicationReference", "description": "A ELN base section that can be used for references.", @@ -50229,7 +50877,57 @@ }, { "m_def": "nomad.metainfo.metainfo.Section", - "m_parent_index": 10, + "m_parent_index": 16, + "m_parent_sub_section": "section_definitions", + "name": "ElnWithFormulaBaseSection", + "description": "A generic abstract base section for ELNs that provides a few commonly used for items with a chemical formula, e.g. chemicals or samples.", + "base_sections": [ + "/packages/8/section_definitions/1" + ], + "quantities": [ + { + "m_def": "nomad.metainfo.metainfo.Quantity", + "m_parent_index": 0, + "m_parent_sub_section": "quantities", + "m_annotations": { + "eln": [ + { + "component": "StringEditQuantity" + } + ] + }, + "name": "chemical_formula", + "description": "The chemical formula. This will be used directly and indirectly in the search. The formula will be used itself as well as the extracted chemical elements.", + "type": { + "type_kind": "python", + "type_data": "str" + } + } + ] + }, + { + "m_def": "nomad.metainfo.metainfo.Section", + "m_parent_index": 17, + "m_parent_sub_section": "section_definitions", + "name": "Chemical", + "description": "A ELN base section that can be used for chemicals.", + "base_sections": [ + "/packages/8/section_definitions/16" + ] + }, + { + "m_def": "nomad.metainfo.metainfo.Section", + "m_parent_index": 18, + "m_parent_sub_section": "section_definitions", + "name": "Sample", + "description": "A ELN base section that can be used for samples.", + "base_sections": [ + "/packages/8/section_definitions/16" + ] + }, + { + "m_def": "nomad.metainfo.metainfo.Section", + "m_parent_index": 19, "m_parent_sub_section": "section_definitions", "name": "SolarCellDefinition", "base_sections": [ @@ -50314,7 +51012,7 @@ }, { "m_def": "nomad.metainfo.metainfo.Section", - "m_parent_index": 11, + "m_parent_index": 20, "m_parent_sub_section": "section_definitions", "name": "SolarCellLayer", "base_sections": [ @@ -50401,7 +51099,7 @@ }, { "m_def": "nomad.metainfo.metainfo.Section", - "m_parent_index": 12, + "m_parent_index": 21, "m_parent_sub_section": "section_definitions", "name": "SolarCellBaseSectionWithOptoelectronicProperties", "base_sections": [ @@ -50432,7 +51130,7 @@ }, { "m_def": "nomad.metainfo.metainfo.Section", - "m_parent_index": 13, + "m_parent_index": 22, "m_parent_sub_section": "section_definitions", "name": "SolarCellJV", "more": { @@ -50717,11 +51415,11 @@ }, { "m_def": "nomad.metainfo.metainfo.Section", - "m_parent_index": 14, + "m_parent_index": 23, "m_parent_sub_section": "section_definitions", "name": "SolarCellJVCurve", "base_sections": [ - "/packages/8/section_definitions/13" + "/packages/8/section_definitions/22" ], "quantities": [ { @@ -50793,7 +51491,7 @@ }, { "m_def": "nomad.metainfo.metainfo.Section", - "m_parent_index": 15, + "m_parent_index": 24, "m_parent_sub_section": "section_definitions", "m_annotations": { "eln": [ diff --git a/gui/src/utils.js b/gui/src/utils.js index 0135a4872d0e84d68f1aaedae5b7db35481f2c3c..3b321950044ee2c696515f3d417e5dce4665aaff 100644 --- a/gui/src/utils.js +++ b/gui/src/utils.js @@ -390,6 +390,9 @@ export function formatInteger(value) { * @return {str} The timestamp with new formatting */ export function formatTimestamp(value) { + if (isNil(value)) { + return value + } if (value.search(/([+-][0-9]{2}:[0-9]{2}|Z)\b/) === -1) { // search for timezone information try { // assume UTC timestamp from server and attempt to manually add UTC timezone, diff --git a/gui/tests/data/entry/dft.json b/gui/tests/data/entry/dft.json index 5d326ce3041afb6d5b01caf646dc4cc908e03a1c..e14ef7348d1bcdf63e6640fd04c95efd0498e64d 100644 --- a/gui/tests/data/entry/dft.json +++ b/gui/tests/data/entry/dft.json @@ -24,9 +24,9 @@ "datasets": [], "n_quantities": 0, "nomad_version": "0.10.0", - "upload_create_time": "2022-12-19T08:33:40.022167+00:00", + "upload_create_time": "2023-01-18T11:19:02.555556+00:00", "nomad_commit": "bf3c06fa", - "publish_time": "2022-12-19T08:33:40.025167+00:00", + "publish_time": "2023-01-18T11:19:02.558556+00:00", "results": { "material": { "symmetry": { @@ -200,7 +200,7 @@ "name": "Markus Scheidgen" } ], - "entry_create_time": "2022-12-19T08:33:40.026167+00:00", + "entry_create_time": "2023-01-18T11:19:02.559556+00:00", "with_embargo": false, "domain": "dft", "comment": "Mocked", @@ -455,14 +455,14 @@ ], "metadata": { "upload_id": "dft_upload", - "upload_create_time": "2022-12-19T08:33:40.022167+00:00", + "upload_create_time": "2023-01-18T11:19:02.555556+00:00", "entry_id": "dft_bulk", "entry_hash": "dummy_hash_dft_bulk", - "entry_create_time": "2022-12-19T08:33:40.026167+00:00", + "entry_create_time": "2023-01-18T11:19:02.559556+00:00", "parser_name": "parsers/vasp", "mainfile": "vasp.xml", "published": true, - "publish_time": "2022-12-19T08:33:40.025167+00:00", + "publish_time": "2023-01-18T11:19:02.558556+00:00", "with_embargo": false, "embargo_length": 0, "license": "CC BY 4.0", diff --git a/gui/tests/data/entry/electronic_card.json b/gui/tests/data/entry/electronic_card.json index 161b1f0c0f3c2543e426ae6e4033e8a9934210cc..0b323bd2b5658b27e1985de439e3704333b0c557 100644 --- a/gui/tests/data/entry/electronic_card.json +++ b/gui/tests/data/entry/electronic_card.json @@ -24,9 +24,9 @@ "datasets": [], "n_quantities": 0, "nomad_version": "0.10.0", - "upload_create_time": "2022-12-19T09:28:50.957865+00:00", + "upload_create_time": "2023-01-18T11:17:04.878570+00:00", "nomad_commit": "bf3c06fa", - "publish_time": "2022-12-19T09:28:50.960865+00:00", + "publish_time": "2023-01-18T11:17:04.881570+00:00", "results": { "material": { "symmetry": { @@ -85,7 +85,7 @@ "name": "Markus Scheidgen" } ], - "entry_create_time": "2022-12-19T09:28:50.961865+00:00", + "entry_create_time": "2023-01-18T11:17:04.882570+00:00", "with_embargo": false, "domain": "dft", "comment": "Mocked", @@ -131,9 +131,9 @@ "datasets": [], "n_quantities": 0, "nomad_version": "0.10.0", - "upload_create_time": "2022-12-19T09:28:50.957865+00:00", + "upload_create_time": "2023-01-18T11:17:04.878570+00:00", "nomad_commit": "bf3c06fa", - "publish_time": "2022-12-19T09:28:50.960865+00:00", + "publish_time": "2023-01-18T11:17:04.881570+00:00", "results": { "material": { "symmetry": { @@ -192,7 +192,7 @@ "name": "Markus Scheidgen" } ], - "entry_create_time": "2022-12-19T09:28:50.961865+00:00", + "entry_create_time": "2023-01-18T11:17:04.882570+00:00", "with_embargo": false, "domain": "dft", "comment": "Mocked", @@ -311,14 +311,14 @@ ], "metadata": { "upload_id": "dft_upload", - "upload_create_time": "2022-12-19T09:28:50.957865+00:00", + "upload_create_time": "2023-01-18T11:17:04.878570+00:00", "entry_id": "dft_bulk", "entry_hash": "dummy_hash_dft_bulk", - "entry_create_time": "2022-12-19T09:28:50.961865+00:00", + "entry_create_time": "2023-01-18T11:17:04.882570+00:00", "parser_name": "parsers/vasp", "mainfile": "vasp.xml", "published": true, - "publish_time": "2022-12-19T09:28:50.960865+00:00", + "publish_time": "2023-01-18T11:17:04.881570+00:00", "with_embargo": false, "embargo_length": 0, "license": "CC BY 4.0", @@ -479,14 +479,14 @@ ], "metadata": { "upload_id": "dft_upload", - "upload_create_time": "2022-12-19T09:28:50.957865+00:00", + "upload_create_time": "2023-01-18T11:17:04.878570+00:00", "entry_id": "dft_bulk", "entry_hash": "dummy_hash_dft_bulk", - "entry_create_time": "2022-12-19T09:28:50.961865+00:00", + "entry_create_time": "2023-01-18T11:17:04.882570+00:00", "parser_name": "parsers/vasp", "mainfile": "vasp.xml", "published": true, - "publish_time": "2022-12-19T09:28:50.960865+00:00", + "publish_time": "2023-01-18T11:17:04.881570+00:00", "with_embargo": false, "embargo_length": 0, "license": "CC BY 4.0", diff --git a/gui/tests/data/entry/eln-author.json b/gui/tests/data/entry/eln-author.json index 90a0d10e0357040a418eedbd48556319b4c59c51..a97e02624af9090fab692ec7a93dfdcef659670d 100644 --- a/gui/tests/data/entry/eln-author.json +++ b/gui/tests/data/entry/eln-author.json @@ -7,7 +7,7 @@ "body": "", "headers": { "accept": "application/json", - "authorization": "Bearer eyJhbGciOiJSUzI1NiIsInR5cCIgOiAiSldUIiwia2lkIiA6ICJSWFFIV1YxSEJ6cmh5U3h3UmRDdkhCcUF1WVNKRzZWSEJSZXg0TW5oX293In0.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.EDtipkQl2hEkCOMfz7YD4moW_zClEi0rwnPfpWsIVieNLD6KZYpPi0otZori24cX89Sdk2LNb414R7bB4bZV2QOzLhTOVZ-ptlUXSE5ibduIOu_P769JV0HuaJb8yyScRdrLjDBTjlnNxcSaz-T7eaTpc7-JdwpWVU5XUuui_VcB4_e05j162YN9I_DKtg2V4_mzYi8Hml84Y61xmbRqyJ9eFjGhf_bBa71bznULQn7x4YJadslkOKzJsV3Djmr39xaVxNEMiOTYqE0G9sxDFvbn3-Dp3aV7KTSI11EUHz6EBTOq-dxCY0_IPKxCXtZhoLjr9xOOWgBzTUNIFrPyjw", + "authorization": "Bearer eyJhbGciOiJSUzI1NiIsInR5cCIgOiAiSldUIiwia2lkIiA6ICJSWFFIV1YxSEJ6cmh5U3h3UmRDdkhCcUF1WVNKRzZWSEJSZXg0TW5oX293In0.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.dm5WH8Z23EoEuNJHxJ857gJ0z56SAP30oDPZqBeoK9rU8WqO-j93P0pjQ0rkKvg99lNwSsrkoYqDV7BRewuIg_4mhJtJCWLXFfgzZbzYfi4gJjnDGhXfgFNx-f5-gz2-ylx6Su77kaf2Eq4KDa9j9NDEY-BcuH2--J-a9xfijC8EhVZ93CwwCb8jlvsju37B3oYovwGKyFDj3O-Z9zMXHvNmKin_JbQy4wRPSd2AKSQh-tvFvD53pndm_nTTRokUWvYcrD7n647NbEtLwuCmtxonqjCBnLckKGzU6sogRRDESOJH8d5CQkmomRv3ZgRVk29AZozf0PaMl-vwawvgQQ", "cookie": null } }, @@ -29,18 +29,19 @@ "data.name", "data.processes", "data.processes.hotplate_annealing", - "data.processes.hotplate_annealing.datetime", "data.processes.hotplate_annealing.duration", "data.processes.hotplate_annealing.set_temperature", + "data.processes.hotplate_annealing.timestamp", "data.processes.pvd_evaporation", "data.processes.pvd_evaporation.chamber_pressure", "data.processes.pvd_evaporation.data_file", - "data.processes.pvd_evaporation.datetime", "data.processes.pvd_evaporation.instrument", "data.processes.pvd_evaporation.substrate_temperature", "data.processes.pvd_evaporation.time", + "data.processes.pvd_evaporation.timestamp", "data.substrate_type", "data.tags", + "data.timestamp", "metadata", "metadata.coauthors", "metadata.datasets", @@ -98,34 +99,34 @@ "results.properties.available_properties" ], "datasets": [], - "n_quantities": 60, - "nomad_version": "1.1.2.dev647+g9297338f3", - "upload_create_time": "2022-12-19T08:34:59.912000+00:00", + "n_quantities": 61, + "nomad_version": "1.1.2.dev717+g548f58be7.d20221222", + "upload_create_time": "2023-01-18T11:20:22.651000+00:00", "nomad_commit": "", "section_defs": [ { "used_directly": true, - "definition_id": "b729e4f513a17b6142767e5535beba91708c13bc", + "definition_id": "b1015a197cd459e4c6fa7fb3797e61fb5ae2f698", "definition_qualified_name": "entry_id:83DS7AzwqTKFVwlrdVeaL3kMSLU_.Process" }, { "used_directly": true, - "definition_id": "f3e96e7b60388fa6821dc2b45804aaaaef2c74aa", + "definition_id": "463190d96dbfc15e155003987c38e90a33f23699", "definition_qualified_name": "entry_id:83DS7AzwqTKFVwlrdVeaL3kMSLU_.Sample" }, { "used_directly": true, - "definition_id": "4f78f22cb32c9134ab4886289892c86d4c535d4e", + "definition_id": "9dbb9129992e8465899fa590f080cd2372b25263", "definition_qualified_name": "entry_id:83DS7AzwqTKFVwlrdVeaL3kMSLU_.Sample.Processes" }, { "used_directly": true, - "definition_id": "5dc1199d73fb589c01643a663f0381456baaa08d", + "definition_id": "1d4d27e0a85c6d427d5a508b3db8f42fc74e336e", "definition_qualified_name": "entry_id:83DS7AzwqTKFVwlrdVeaL3kMSLU_.Sample.Processes.HotplateAnnealing" }, { "used_directly": true, - "definition_id": "cf78db6a0eb9b133f780f36e6cbcc2066fa5aa01", + "definition_id": "2bccc77a670e159b0043329260c5b76c79f6d307", "definition_qualified_name": "entry_id:83DS7AzwqTKFVwlrdVeaL3kMSLU_.Sample.Processes.PvdEvaporation" }, { @@ -140,7 +141,7 @@ }, { "used_directly": true, - "definition_id": "1a9821c15d4ee2c92ebed46a981072f911f33e76", + "definition_id": "923fd8ffed25ac724d156dc4fa8696e7b778d6fb", "definition_qualified_name": "nomad.datamodel.datamodel.EntryArchive" }, { @@ -160,27 +161,27 @@ }, { "used_directly": false, - "definition_id": "452515af5cb7bc8c1d20f9701eca186369f612a1", - "definition_qualified_name": "nomad.datamodel.metainfo.eln.ElnActivityBaseSection" + "definition_id": "f206c717608ebd896849c324c5b3387a997670d9", + "definition_qualified_name": "nomad.datamodel.metainfo.eln.Activity" }, { "used_directly": false, - "definition_id": "05c13125f04981c8560d309e4647e139cb7ede63", + "definition_id": "4bc96e9848adb949d2a9c249399895fabff7f1d0", "definition_qualified_name": "nomad.datamodel.metainfo.eln.ElnBaseSection" }, { "used_directly": false, - "definition_id": "05886ab2544dd913005d5844ee0aec737731e171", + "definition_id": "eeae659a282a6ed4e1f9885cf6f84aa4b623cd52", "definition_qualified_name": "nomad.datamodel.metainfo.eln.ElnWithFormulaBaseSection" }, { "used_directly": false, - "definition_id": "3772fa53cde966eadb55808e99d9e420d40c16b7", + "definition_id": "37ff57223b98a7ea31463a54036e739a03e4a2ed", "definition_qualified_name": "nomad.datamodel.metainfo.eln.Process" }, { "used_directly": true, - "definition_id": "b071aea15c2f8d132e5a562355d110591e3d0de4", + "definition_id": "2fe7f36c48040045590d8ede8eb61c7d6bc759ac", "definition_qualified_name": "nomad.datamodel.metainfo.eln.Sample" }, { @@ -195,7 +196,7 @@ }, { "used_directly": true, - "definition_id": 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z9eKmoouwuxnlJ/dX/vkUqqFHy8ewAFOoouw1DJz94/pRub+8fyoopXYXF3H1NGT6mkop3fcLsOfU0mPc/mf8aWii7C7Ex7t/30aMY7n8TS0UrsLsQAZzj60tFFAHLnwB4f8A7ch1WO1MUsTCQRRttjLjkNtH0HQ4rp6Bx0FH0pKKV7aXNaterWt7STdlZX107C/j+tH40UUzIQgEYIBHoaia1t3+/BE31QVNRQNNo4zxlaW8TWZjgiQlJSdqAZxs68V1TaLpx/5dYx9OK5rxr96y/wByb/2Su1rWKVjWNSa2b+8pWumWlpIZIItjMME7if51cNLijpVpW2CUnJ3k7i1j+ILDV9R03yNG1s6Pdbw32n7Klx8vOV2tgc8c+1bFJ2oEeQaTD8QtU8XeItB/4WH5X9jfZv3/APYtufO85C/3f4cYx1OfauptviX4Ts7yLRL3xLFPqkLi1mme3eON5gAGJbb5a5IPG7A6VV8J/wDJXfiL/wBwz/0Q1cD4p8Qar4y+FWoeI73xFYaZo87PDDo8NqkjyusmY0kkY7hIdob5QMKN3TNAHsWreLtB0G6lt9U1KG1kitGvHWQNxEGCZHGCdxACj5iegNU9U+IfhXRrHT7y/wBXjii1CJZ7YCN2eRGG5W2KpYAjuQPTrXIX1tFe/Gnwm90izvHojTI0gziQFsNg9+T1789RVvTdRsNL+NHi0a1cxW1xc2lmdNa6cIWgVD5ojZuAu8ZKg8lScHaSADstB8WaH4meddG1KK8NvHG8vlA4QSAlc5HX5TkdRjBArNsviX4Q1DWY9KttcgkupZGii+RxHKwOMJIVCMc8DBOeMZzXmbXMWrP8Y5/CrwTRTQWuGt1G2QeXIJyvGGJ/e8j7xORnOa6GXQLvxf4FsYIfGmjJpEn2cWUsOk7HgdWXy1Q+f8knATHXkjrQBqT/ABf8OWvje48P3FzFHDAuxromQn7T5mww7Nnbk7s4/p6GCOtecw3Ai+P16JpdgfQIliDnbu/fj7uevORx3r0egAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKSlpKAOK8J/8AIU1D6f8As7111cj4T/5CmofT/wBneuurGW5nLcKKKKkQUUUUAFFFFABRRRQAUUUUAFQ3NzBZW0lzdTxQQRjdJLK4VEHqxPAHvU1fO/xhv7jxf8Q9O8JaJPc3EkYWKaETE24mJJ3FAvBRWO58nA4wNpzUVfcaV2e8aLrNj4g0mDU9MmM1nPu8uQoybgrFc4YAjkHtWhWB4K0iXQ/Bej6bcR+VPb2iJMm4Ha+MsMgkHknnJrfpNK+gnuFFFFIAooooA5rxd4vh8LQWiLZT3+pX0jR2dlAQGkKjLEsfuqBjJ7Z6dcUvC3jr+29Wn0XVdJm0fWI4/tCW8kqzJNFwNySKACQeo/LODiHx94d1bUbvRdc0NILi+0iSX/Q5n8sTxyqFcBugb5RjPHPtg5/hfw3r9/4tj8R+IrOHTI7GF4LKwjnWZ9zgb5HdeMYyAP5Y+bJut7aKUV7Ozu7636JLtt0/ya97mt0PSK4rxJ4+fS9c/sPRdGm1nU441luI0nSGOBG5AZznDHggYHBzmu06815t4i8O+ItL8YX/AIg0DT4tXg1WOJbq0e5WCSN412Kys3G3bjIyTkntTrOoqcnRinK2ibsm/N+lwbkk3Hc6nwl4stfFmnzSxwS2l5ayeTd2c5HmQyYB7dVPODxnB4GCK6HpXF+AvDWpaQ2q6xrbQrquryRvLBA26OGNFIRM45YZbJBIPHXqe0q1ey5t9L+ttUn2uP1CiiimAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHJeNvvWX+5N/7JXaVxfjb71l/uTf+yV2law2LjsLRRRVlBRRRQBVhsLO3vLi7htII7q52/aJkiAeXaMLvYDLYHAz0FZX/AAhXhj+0Li/Ph/TDc3AYSyNaoS+4ENnj+LJz65Oa36KAKC6Ppi3cF2unWgubeLyYZhAoeKP+4pxlV56DiuZ8aQalPdW3l+CNJ8T2ip8gu7iOOSByTuOJEIKkbOhzkHI6V2tFAHG+B/C97os+ravqgtYtR1WSLdbWf+ptoYk2RRrwMlV4Jxjpjpk6EXgfwtBqg1KPw9piXYYOsi2qZVgchhxgNnnIGfeuiooAyNT8NaLrF/bXuoaXaXN1bMDDNLEGdMHIAPpkk46Z7VrAClooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACkpaSgDivCf/IU1D6f+zvXXVyPhP8A5CmofT/2d666sZbmctwoooqRBRRRQAUUUUAFFFFABRRmjpQByfxE8YReCvCdzqOVa8f9zZxtn55SDgn2AyxzjO3GckVwnwN8HTR21x4z1cPLf6gWFs02S4QnLykk5Jc9yM4BOSHrmNRmm+NHxaisbd2/4R7Ttw8xDj9yCN78n70jYUYGQNpI+U19EwQQ2tvHb28SRQRKEjjjUKqKBgAAcAAcAVb0VupWysS0UUVBIUUUUAFFJkH0paACiikBBGRQAtFFFABRSdvc15Ze+J/FviDWtWTQLux0yw0u8ksk8+3817mWPAbeedqZ6FeefyirVp0oc9RpLu/uWwm0leTsj1Siua8EeJpfFPh5bu7tVtdQgme1vIEOVSZDhtp9DkHvjOMnGT0tWMKKKZLLHBC0ssixxqNzOxwqgdyTQCXRDu55o7etZmneIdJ1a7ltrHULe4miXc6xtnjpkeo5A46ZrT6cCj0dy505QfLNNPzVvPqLRRRQQFFFFABRRRQAUUUUAFFFFABRRRQByXjb71l/uTf+yV2lcX42+9Zf7k3/ALJXaVrDYuOwtFFFWUFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFJS0lAHFeE/wDkKah9P/Z3rrq5Hwn/AMhTUPp/7O9ddWMtzOW4UUUVIgooooAK83+JM+satqmm+FvD97dWt68FxqE0lpO0UiLHGyxAkEfI8rBT9B6Zr0g8CvMPD9jeeLfFniPxRa61e2ESXP8AZdmYI4X3QwgbirSIwKNIS3y45znPal3Gu51OjeLbe++HcPiuYF4lsGurhYF/ijU+YqhiOjKwGT261W0nx2niKB59C0TVLyBdhW4kRYIZQeG2O7YYoQVOO4OCRzXHWzSaJofxJ8I3Ny87W9nc39pJKApkhmhZm2qAFAV+u0AbmOAOleg+B/8AkQPDn/YLtv8A0UtDSSuDK/gbVdU1fwtp0+p2UsTtZW7i5eVG+0lkBZ8Kcr2ODjr7Vxnxy8bDQvDg8P2cmL/VEIkIx+7t+jE88F+VHGMB+QQK9I1TUtP8NaDcX90yW9jZQ7iFAUBQMBVGQMnhQO5IArw34aaVefEb4i3vjnWU/wBFtJw0KZ480Y8tBgAERrtJPBJ2k5yaa3u9hruek/CnwSPBfhJEuI8ape4mvCcEqcfLGDjooJ9fmLHOCK7ugcUVLd3dkt31CiiikAVzPjzxJN4V8I3mp2sKTXalIoEkzs3uwUFj6DOffGMjNdNWdrmjWXiHRbvSdRiMlpdJsdVOCOQQR7ggEe4prfUFvqeZrrvi/wALajpd1q/iGPWbG6u47O6t2skhMZk43xlBkkYPGOfTnI9c65rhNM+GcNrq9re6nr2ratHYzCayt7t12IwztZ8D53GeDx9DXedqxoRrRpqNaSlLXVKy8tP6/USTtaTuzhvH/iDWLC90PQdCmis7zVpJSb6WMSeRHCFZtqEEMzA9/pxnIz/DPiDX9O8ZQeH9d1RdXgv7WSa1uRbJFJG8f3lYJwVK5O45OePWuo8VeEbHxZaW6XMtxa3do5ltby1YLLCx64OPunjI74HTAql4Y8B2+ganNq91qN5qmrTQ+Qbm6YARx5ztRBwoJwep6cYycjjV9spKS5LNNW1b6O/Rf11un73Ne+ljrqKKK1AK891P4b3x1nUL/wAPeKJ9Hh1CQz3NsbNblPOOdzoWYFM9SB374wB6FSc+tKUYyi4zV0+j1X3MPXVGP4Z8O2XhXQrfSbEyNHFlmllwXldjlmY45JP6ADtWxkev602R/LVm2s2ATtUZJxzwK8MsrrxLr/hqTxi3i7ULO/dZLmC3gcLZwKjNhGjOQwwpGTzyM7sc51q9OilKq7XaS9XtsKUlHWTPZ9Wtry70ueHT7tbS7IHlzNGHCkEE8H8R7Z74r5/8THXYtWkttfnuJLhDuAkfKEHunbB9v8a928K6xJr/AIW0vVZ4fJmu7VJZEAIAYjnaCSdpxkZPQio/E3hiw8T6f9nu1KyploZl+9Ge+PY4GR0PHcUYik6kbJ2f4f15/ee9keawwFb97BOL3dveXmnvby+7z8/8FaXY6VLHrNveC/dkMagDy1jJ+8DyTn8uD05r0GPxDEeJraRR6owYVn+EPBcPhq0uopbn7Y1w6k74gqqFBAAGTzyefp6VtS6Lp8mT5AQn/nmxX/61KnCcIpKy7r/g6k5jjMNicTKUm5rpLbT0029PMdHrNhLjFyqH/popX9SKupKkq7o3Vwe6HNY0nhyP/ljcyL7OgYfpiqUnh+8iJZPKc+qtsb9f8a0vLqr+n9M4vY4afwzt6o6miuU3axZ9TcqvviUf1qSLxDdxnbIIJPbGxv5/0pc6WjTQngZtXg1I6ejmsSPxFH/y1tpU90YMP6GrcetafJwLhVPpICv6kVSknszGWGqx3i/69LmhRTI5Y5V3Rurr6qwI/Sn0zBrowooooAKKKKAOS8bfesv9yb/2Su0ri/G33rL/AHJv/ZK7StYbFx2FqteXtrp1pJd3tzDbW0fLzTOERO2STwOas1wPxR0TUdW0nTLqzsV1SHTNQS9udMI5uo1Byq/3iMn5T1yeCcA2UdRpfiXRNbkeLS9YsL6RBuZLa5SRlHTJAOQM961q5Dwp4k8M+Jb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J7JXqVVr6zg1GwuLK5Tfb3ETQyoTjcjAhh+Rpp2dwT6nKfCrxD/wknw90y4d91zbJ9kuPmJIeMYBYnqWXYx92rtK8B+Ct7P4X8d674Kv5Rlnfys5AaWIkHYp/vp82eOEFe/U5KzG1qFFFFSIKKKKACiiigAooooAKKKKACiiigDkvG33rL/cm/wDZK7SuJ8bsqCzZ2VVCS5ZiABnYOc+9dX/amnjrfW3/AH+X/GtYbGkdi5RVT+1dP/5/7X/v8v8AjR/aun/8/wDa/wDf5f8AGrGW6Kqf2rp//P8A2v8A3+X/ABo/tXT/APn/ALX/AL/L/jQBboqp/aun/wDP/a/9/l/xqaKaOeISQyLIh6MhyD+NAEtFFFABRRRQAUUUUAFFFFAHEag/xHNxewWNv4a2PK/2O6eeYGKPJ2+Ym07nx3BxntiuL8UeGZvCunfDnQdJvFa5tNSPkz3MZKPM2X+ZVIIQsSMA5CnqSM17XVC+0fTtSubO4vLOGeWzl863eRQTE/qvoen5D0FAHHv4f8SeJfE+j3viGPTbTS9IlNxHaWlxJO1xcAYWRmKqFVc7lHXrnOeILPw54x8OeINaTQpdIl0rV75r4SXjP5lrI+3zCVUDeOoVdw6DJHOfRcdqWgDzA/DbVP8AhTEngv7ZafbhIXjny3lH9/5o3fLkccdDg+tXvEOg+KfE/hfTZp49MtNc0zVItRhgEryQS+WThWbAK5DE8Z6AZGeOn8Q+K9D8KWqXOt6lDZxyEiMPku+MZ2qAWbGRnAOMiqXh7x/4Z8VahJY6Nqf2m6jiMzRm3ljITIGfnUZ5I/OgDK1DQvE11c6P4nsl0y18RWsckF3aNK7W9xA7bvLLhcgggMDjG7PUVeurbxN4h8N6/YajZ6XY/bbCS2s0iunmKuyOrGRtijbkpjaCcZ6111FAHC6z4N1HUPhBF4ThmtRqC6fb2pkd2EW6PZuOdpOPlOOOeOlPl8JalJ438Na15loLbTLCS2nXe28uyFcoNuCM46kd+K7eigDjr3wfJqPxDuNZuzbyaTcaA2kywF2EjFpd7dBjbtJGc5z271xmp6f4t8P/AA21LTX13QJPDlrZTQx6gxdrp4drBYgpPl7ydsYO7gdATivZK84j8NfDODVTqCaPYi4DH5TayGMHocR42fkv0oA6TwHC8HgDw9HKpWRdNtwysMFT5Y4x6jNbGo2iX+nz2sjMqSoUJTGRn0zkVR/4SnRv+fs/9+ZP/iaa/inRipH2s5/64yf/ABNJgZ58GWJJP2q7/OP/AOIo/wCEMsf+fq7/ADj/APiKuf8ACT6P/wA/Z/79P/8AE0f8JPo//P2f+/T/APxNY3kZ3ZT/AOEMsf8An6u/zj/+Io/4Qyx/5+rv84//AIirn/CT6P8A8/Z/79P/APE0f8JPo/8Az9n/AL9P/wDE0XkF2U/+EMsf+fq7/OP/AOIpB4NsQQftV3x7x/8AxFXf+En0f/n7P/fp/wD4mj/hJ9H/AOfs/wDfp/8A4mi7DUl0jRLLRbcxWkSruJZpNihmySeSoGetaVch4p8QzT+Gb6PwzfxR6yUBtWmjIUkMCRll2gldwG7jJGSBzXmvhr426pot8NI8e6fKkgODeJD5ci5P3njAAZfdAOBwGJzTUW1cLdT3miqOlaxp2uWKXul3sN3bNwJIX3AHAOD3BwRkHkd6vVIgooooAKKKKACiiigAooooAKKKKADuPqK+dfDXhDW9d+MuparFEh0zR9XnVZr4O8a7ZW2pGAQSyk7hggKeT1Ab6KpiIkalUVVGS2FGOSST+JJJPuaqMrJjT0H0UUVIgooooAKKKKADn+tfPmneBNYi+P7wzahqDW9uBqH21rl/OltvuohfO45P7o5IJCtX0HTdqhi4UBiMEgckDPH6n86qMrXGnYd/OiiipEFFFFABR2oooA+dfin4H8SQ+Pxr0EzS22pzpbrc2qmNoN+IlR8c4KkLuzhs4OM4r6Jzkk+5prokibXUMMg4YZ6HIP54NPqnK9kNsKKKKkQUUUUAFFFFABRRRQAUUUHigAorHHijRiAReHBGc+S//wATS/8ACUaR/wA/Z/79P/8AE0fICfVtHs9as2tryJXUjAYqpZeQTjIOPuiss+DbEkn7Vd/nH/8AEVd/4SfSP+fs/wDfp/8A4mj/AISfR/8An7P/AH6f/wCJp69Bq5T/AOEMsf8An6u/zj/+Io/4Qyx/5+rv84//AIirn/CT6P8A8/Z/79P/APE0f8JPo/8Az9n/AL9P/wDE0XkF2U/+EMsf+fq7/OP/AOIo/wCEMsf+fq7/ADj/APiKuf8ACT6P/wA/Z/79P/8AE0f8JPo//P2f+/T/APxNF5BdlP8A4Qyx/wCfq7/OP/4it3S7GPTdOitInd0QsQXxk5JPYAd6zf8AhKNH/wCfs/8Afp//AImsXxf4ivbjwtdR+EtQjj1n5TCZIjyAQWClxtDEAgbvXscGrhe+o4+Z3VFeDeFfjrd6ddf2R4+sZre4T5TeJAUZemPMiA+pyo9Pl717Zp2p2Or2Ud5p15Bd2z/dlgkDqcdeR39q0LLtFFFABRRRQAUUUUAFFFFABSHoeaWkxkUAeb+CLaLXfHfizxLfqkt9Zai+lWatybaGIYymc7d+4k4/2sdSK1NL+ItnqXia30GXQtf0+6uBIYXv7IRI4QZYglskfh6dM1Bf+G9e0TxbeeI/Cz2M0Woqn9oaZeMYhI6DAeKRQdrkHHIwcknPGKtrovibXfH2k+JNU0yy0eCwt5rcwpfG4lcyA4YYQKME9znrQBzXivx7qPg7VZbt/HWmarLDN8/h+304KNu/ay+cpZkdRk/Meo6Hoeg8beINXh8a2mgweJbTwvZS2RuI9QubRZRcS7ypiBkIQYXaeobJHXIrn/8AhAvGH/CtbnwFDY6PDCrGR9TN0xN3+88wARhAVbIRSzEjA4B4I7bxhb+INSWbSovDWjatpt3CEVry8ZPs8vOXddnzKMrjYQw2nkEjAB1ljHcQ2FvFdzrcXKRKs0ypsEjgYZgvbJ5x2zVmsXwpo82geFdL0m4uDcS2lskLyZ4JUY46fKOg9gK2qACsb/hFtHJJNo2SSf8AXSd+f71bNFAGN/wi2jf8+jf9/wCT/wCKpr+FtGCn/RG/7/Sf/FVt1U1C7Sx0+e6kDMkSF2CYyQPTPFJ7AZf/AAjGkf8APq3/AH+k/wDiqP8AhGNI/wCfVv8Av9J/8VVP/hMrHJH2a7/KP/4ul/4TOx/59rv8o/8A4usbSM7Mt/8ACMaR/wA+rf8Af6T/AOKo/wCEY0j/AJ9W/wC/0n/xVVP+Ezsf+fa7/KP/AOLo/wCEzsf+fa7/ACj/APi6LMLMt/8ACMaR/wA+rf8Af6T/AOKo/wCEY0j/AJ9W/wC/0n/xVVP+Ezsf+fa7/KP/AOLpP+EysScfZbvn2j/+LotILMpeKvD81v4ZvpfDOnxy6wqD7MssjFc7gGOGbaSF3EA8ZAyD0Pmvhz4J6vrt8NX8fahMzk5+yLNvkYAn5XcEhVwOAh6HqpFe06TrVlrNsZbSVTtJVk3qWXBI5Ck46Vo01JpWC/QoaRoum6DYJY6VZQWlsvPlwpjJwBlj1ZsAZJyTjk1fooqRBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABQeaKKAMceF9HAAFo2BwB58n/wAVS/8ACMaR/wA+rf8Af6T/AOKrXoov5gZH/CMaP/z6t/3+k/8AiqP+EY0j/n1b/v8ASf8AxVT6tq9notm1zeSqqgcKXUM3IBxuIzjIrMPjKxB/49rv8o//AIunr0HqXP8AhGNI/wCfVv8Av9J/8VR/wjGkf8+rf9/pP/iqqf8ACZ2P/Ptd/lH/APF0f8JnY/8APtd/lH/8XRZhZlv/AIRjSP8An1b/AL/Sf/FUf8IxpH/Pq3/f6T/4qqn/AAmdj/z7Xf5R/wDxdH/CZ2P/AD7Xf5R//F0WYWZb/wCEY0j/AJ9W/wC/8n/xVYni7w9eW/hW7k8J6fHLrI2iESzE7QSAzAO20sASRu4yO5AB0P8AhMrH/n2u/wAo/wD4utzTL6PUtPjuokdUkLAK+M8EjnBI6irgmnqOKfU8T8K/Au+1S9GseP7+a4nfk2aTl3bGMeZLnpjI2r7YYdK9t03SrHR7KOy02zgtLWP7sUCBFHqcDuepPU1dorQsKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKjkijmjaOSNXjYYKsuQR7g1JRQBT/snTv+gfaf8Aflf8KP7J07/oH2n/AH5X/CrlFAFP+ydO/wCgfaf9+V/wo/snTv8AoH2n/flf8KuUUAU/7J07/oH2n/flf8KT+ytOHIsLUf8AbFf8Ku0lAHEeEI0i1LUEjRI1AztRdoBLvnpxXYVyPhP/AJCmofT/ANneuurGW5nLcKKKKkQUUUUAJ9DRz6iq9zdw2yEPPFG3YMwrxCbxN420G7kku7q6w75YzIHiY/7JPAHsuKzqVVT1kr/oenl+V1MddU5JNbXdr+h7v2560dOprxl/i7rctpFbW+n6edRmmSKKSRnERLHABQHJ+ufwqR/GfxZX7vhzw+R/10P/AMeqXiaCScppX2vp+ZzY3CVcDU9liLRfqv6/I9j/AAo/CvGD42+Lo/5lfQT/AMD/APt9H/Cb/F7/AKFbQf8Avr/7fR9aw3/P2P8A4Ev8zj56f8yPZ6K8W/4TX4vf9CvoX/fQ/wDj9Mbxl8X2bjw3oij0BXH6zUfWsN/z8j/4Ev8AMfPD+Zfge2UV4ifGHxfIx/wj2jr7jZn9ZqjPiz4wjn+xNK/AR/8Ax2j61hv+fkf/AAJf5i54fzL70e5UV4YfFnxgIIGi6YPcLHn9Zai/4Sj4x/8AQMsP++If/jlH1rDf8/Y/+BL/ADDnh/MvvR7xRXgp8V/GIHH9l2WfaKLH/odH/CWfGL/oF2f/AH5i/wDi6PrOG/5+R/8AAl/mHND+b8T3qivBf+Es+MX/AEC7P/vzF/8AF1D/AMJN8ZP+fK3/AO/EH/xVP61hv+fsf/Al/mHNDv8AifQFFeAf8JN8Zf8Anyt/+/EH/wAVR/wk/wAZP+fK3/78Qf8AxVH1nDf8/Y/+BL/MfND+Zfge/wBFeBp4q+MSjB021b3MMOf0enf8JZ8Yv+gXZ/8AfmL/AOLpfWcN/wA/I/8AgS/zFzQ/m/I96orwX/hLPjF/0C7P/vzF/wDF04eKfjGRkaXY490hz/6HT+tYb/n7H/wJf5j54fzHvFFeFR+K/jEmd2j6a/8AvLF/SQU8eLfjD20PS/xWP/47S+tYb/n7H/wJf5i54fzL8D3KivEE8X/GBc50DSG/3vL/AKTU7/hMvi//ANC5o35p/wDHqPrWG/5+R/8AAl/mHPD+Zfee20V4t/wmnxe/6FfQv++h/wDH6X/hNfi9/wBCtoX/AH3/APb6PrWG/wCfkf8AwJf5hzw/mPaKK8YHjb4un/mVtA/77/8At9PXxp8XCcHw1oAH++f6TUnisMv+XsfvX+Yc8P5l957JRXmnhPxp4svPF0Wi+JNL0y3E1pJcI1pIxYFSBzlmHr716XW0ZRklKLunt2ZV9Lp3QUUUUwCiiigAooooA5DxwivHaK6K6FJcqygjop5B+ldV/ZOnf9A+1/78r/hXL+N/u2f+5N/Ja7WtYbFx2Kf9k6d/0D7T/vyv+FH9k6d/0D7T/vyv+FXKKsop/wBk6d/0D7T/AL8r/hR/ZOnf9A+0/wC/K/4VcooAp/2Tp3/QPtP+/K/4VPDDHbxCKGNI4xnCIMAd+lS0UAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRVWG/s7i8ubSG6gkurbZ9ohSQM8W4ZXeoOVyORnrQBaooooAKKKKACij8KqzX1pb3ltaTXUEd1db/s8LyBXl2jLbFJy2BycdKALVFFFABRRRQAlB5FVri8t7biedEPozYJrPl8RWiDEKyTH1AwP1pOSW5cKU5/CrmH4T/5CmofT/wBneuu/WvOdG1Oa2vrxovLUyY+8N38THpx6+9bX/E2v+T9odPciJf6ZrnlNNtK7NfqU95tRR0s93b23+unjj9mbn8qz5fEFonESyyn1VcD9aoweHpycySxReoQbif5Vfi0CzTmUyyn/AGmwP0/+vSvN7JL1/r9B8mFp/FJyfl/X6mfP4huG+WNIoh/tfOx+nT+VRbdWv+1y6+/7tf6Zql4s+IHh34f3Vta3dldvNcRtKFsrdWIUHGWLMo656EnjnHGeaf8AaH8J4+TTtbLf7UMI/wDahpqnJ7tj+s04fw6a+ep3EHh64bmSWKL1CDcT/KuA8YeHfEWp+KU0y2tp3sQFMEpXEQ+UbmZumQQw55wBxzUUn7ROjD/U6JqDdfvyxr/LNQj9oe2fPleHZSOnz38a5P4r0pSwykuXob4XNa+Gq+1STfS60V+vyLXj7wdb6J4O0DS7C5eG7utdtUkvwCHDlZAGABGNucgAj65Oaypfh34pX/U/EHUH9d/mr/JzWd4r+LaeIotI8/R1tYLDVbe9kePUYp3YJuBAQBTnB65xx2zW2nxi8KSkknUIs/37Yf0c15ObLGw5FhI3Wt/di+um6fQyhKFeUqmJd5N3uzLbwH48U/u/HLNj+9NOP6U0eCPiMv3fGcJ/3rib/wCIroY/ir4Pfrqkif71rJ/QGph8T/Bh/wCY4P8AwFm/+IrxvrGbLfD3/wC4f+SLeGwb6r7/APgHMjwZ8S16eMLU/W4lP846cvhH4mKcjxdZn6zyEfrHXSj4neCz/wAx1f8AwFn/APiKd/wsvwYemvR/jbzf/EUnXzPrhl/4LD6rg+/5f5HNf8It8Tv+hqsf+/rf/GqB4d+KSLgeI7EjrzIp/Ux10w+JHg0/8x+D8Ypf/iKcPiL4OPTX7b/viT/4ipeIzDrhl/4LD6rg+6/A5b+wvir/ANB2y/7+J/8AG6aNH+K6nI1izPbmSI/zSuuHxC8IEgDxBafiHH81p3/CfeEv+hhsv++m/wAKX1vG/wDQLH/wWL6nhO6/A49tM+LQ5GqWTZ9HgH80pv8AZ3xb/wCgjaf992//AMTXajxz4VIz/wAJBYfjIR/Sj/hOPC3/AEMGn/8Af0/4UfW8b/0Cx/8ABYfUcJ3X4HFf2d8XP+ghaf8Afdv/APE0f2d8XP8AoIWn/fdv/wDE126+NvC7dPEOnfjNj+dL/wAJp4Y/6GHTf+/4o+uYz/oGj/4L/wCAH1HCd1+Bwn2H4u/8/Vv/AN/Lb/4mlGn/ABcYf8f9qvsXt/6LXdf8Jp4X/wChh03/AL/0f8Jp4Y/6GLTf+/4p/XMX/wBAsf8AwX/wA+o4X+rHD/2d8XP+ghaf992//wATR/Z3xc/6CFp/33b/APxNdwfGvhcD/kYdO/7/AIpn/Cc+Ff8AoYdP/wC/v/1qX1zGf9A0f/Bf/AD6jhe6/A4tdN+LZODqdmvuXgx+i0p0n4sMOdXssezwg/oldn/wnHhb/oYdP/7+n/Cmnx74TBwfEFj6feb+YWj63jf+gWP/AIL/AOAH1LCd1+Bx40P4qkZ/tyzHsZI8/pHThoHxUIyfEFgv1dD/ACjrrG+IHhFeviCz/Def5LTD8Q/B4HOv2p+iyf0Wj61jn/zDR/8ABYfU8J3X4HKjwv8AE8jJ8UWS+xmP9I6G8J/E1hg+LLID2mcH8xFXUH4j+DR/zH7f/v1L/RKafiV4NH/Meh/CCb/4iqWIzF7YZf8Agsf1XB91+By//CHfEw/8zdaf+BEn/wAbpv8AwhXxIxg+Mrce4uJv6R11J+Jvgv8A6DyfhbTf/EU0/E7wWP8AmOL/AOAs3/xFUsRmnTDL/wAFh9Vwff8AFf5HMjwL8QW4fxuB/uzz/wDxIqeP4feMGb994+u1HrG0x/mwrcf4peDV6auW+lrL/VRVSX4u+E4/u3F5J/uWv+LCj22cSelG3/cNL80P2GDXUPB2gX+gfFexiv8AXrnV3l0ud1knDAxjcBtGXY4zk1reMPHfiTSr97BLCLTxzsmb96ZBnhlONuPbB61xLfFXTV8c2mt6bYT3SW+nyWzR3M0dryzg5BJYHA7cZq9rnxo0rXLBrHVfC5aM8h4dTiZ4z2ZSE6//AKjmvqMPDESwsVU0n12XV9tFp2DBV8LQxPNWpqcP61XR+jGWFp4h8V3Yv3v5GEUozcyz8wt1+VQcg98AAfSvbodcsXGHlKN3EiEf0NfNPh7xzp+ianDqDpcyQAsstvGcM6kEYznHoetdmPjL4PZc/Y9fib0CQuPzLg08PTqRi9Nb63PVzyvha9WEIyXIlePKtk90/P8Aq19/cYrmCcfuZo5P9xgam+v614xoPxB0LxPrlrpVhDqK3NyWWJrm2REJVSxBZXbHAPbHTpXeeRq9oMoLlVH9x94/Ln+VbOUlvF/meH9Vpy+Ca+eh1dFcquuX0JxI0bH0lj2n+lXY/Ef/AD1tSB6xuD/MChTj3sTLA1krpXXkzO8b/ds/9yb+S12tefeLNTtrxLXyy4ISUFXUjGQv4dvWu6huoLgfuZo5P91s1vBprQxdOcPiVixRRUFzcwWdtJc3M0cMESlpJZHCqijqSTwAPU1YieisLR/GHh7X7mS20rWbK7njBJiimBbAxkgdSPccVu0AFFZmqa5p2ivYpqFwYWvrpLS3/du2+V/ur8oOM88nA9606ACiikoAWiiigAopM80tABRRRQAUUUUAFFFFABWT4g8OaT4o0w6drNp9qtS4fy/MZOR0OVIPc1rUUAeH6B8MPB198RPGWlXGjB7LThY/ZYvtMw8vzImZ+d+Tk+pOO2KuaXf3/hz4meNbDw54an1aRY9NSKBLhYY4o47cKN0r8A8jA5Jwx7Gup8NWN3B8UfHV1NaXEdtdDT/IneJljl2QkNtYjDYJwcHil8M2F5B8UPHl3NaTx211/Z/kTPGQku2EhtjYw2DwcdDQBieJfGOm+JPg74gvtS0i6T7JMLO/04XIjkjmWVAQJApHBZTnbzgjFbmteNT4c8TWfhSx0O71G6n04zWix3Ay7qSoRmfoMKSXJOPRia4bV9D1eb4efEq1j0m/e4u9faa2iW2fdOhmiIZBjLLgE5GRgE12d9ZXrfG7TL9LO6ayXRJImuBC3lq5kYhS2MA47HnpQBoeFvGk2taxf6Hq+jyaPrNmqzG2adZ0kibgOjqADzweOMjnqBzvxlt9OuYPC0WreULB9dhS5aWQxqIirb8tkYGO+eK1IbK9/wCF5XF+bS5+xf2AsIuTE3lF/PDbA+Mbsc4z60fEWxu72+8H/ZbO4uVg8QW8sxihZxHGMhmbHRRnqaAMFvDfwy0/w14lufDi2dzKukz/AGlNP1dpHaIDeRne20EovOD9CCQXtLbzeLfhBLawtDbPYXbRRM+8xqbRNqlj94gYGe9dn4t01T4I8Qw2NnuuLjTLiJI4IcvIxjYKoCjJOTwPeuQtNJ1JdZ+EkjafdhLHTZ0u2MLYt2NoigScfIdwIAbuMUAW/wDhZWs3txrVvofgy61J9IvZrWdheJGrBOhQlSXc4Y7FBI45O4Co7j4tTHSF8Rab4Vv7vw0gjNxqDzJFIpJAfZEeZAhO0sCF3BgDgFq0vhzZXllN4t+12lxbifxJdzxedEyCSNtoV1yOVODgjrXO6DpGp2/7OEuly6deR6gbG7T7I1u4mLNLJtGzG7nIPTkGgD1e3uIrq2juIJBJDKodHU8MpGQR+FZet2t5cCD7LvIBIdVfaCMZyefb9aTwlDLb+DtEhnieKWOwgR45FKshEaggjqCO4PStlqTV1ZlQm4SUl0OYg8O3DcvLFCPRRuJ/lWhF4es15laSY/7TYH5DFa+OKO1SqcUbTxdae7OJ8IxqmqahtUDCgcDp8712Fcj4T/5CmofT/wBneuuqJb2OSTbd3qwoooqSTx74ill+JmlFCwP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"cookie": null } }, @@ -29,18 +29,19 @@ "data.name", "data.processes", "data.processes.hotplate_annealing", - "data.processes.hotplate_annealing.datetime", "data.processes.hotplate_annealing.duration", "data.processes.hotplate_annealing.set_temperature", + "data.processes.hotplate_annealing.timestamp", "data.processes.pvd_evaporation", "data.processes.pvd_evaporation.chamber_pressure", "data.processes.pvd_evaporation.data_file", - "data.processes.pvd_evaporation.datetime", "data.processes.pvd_evaporation.instrument", "data.processes.pvd_evaporation.substrate_temperature", "data.processes.pvd_evaporation.time", + "data.processes.pvd_evaporation.timestamp", "data.substrate_type", "data.tags", + "data.timestamp", "metadata", "metadata.coauthors", "metadata.datasets", @@ -98,34 +99,34 @@ "results.properties.available_properties" ], "datasets": [], - "n_quantities": 60, - "nomad_version": "1.1.2.dev647+g9297338f3", - "upload_create_time": "2022-12-19T08:35:45.758000+00:00", + "n_quantities": 61, + "nomad_version": "1.1.2.dev717+g548f58be7.d20221222", + "upload_create_time": "2023-01-18T11:21:08.341000+00:00", "nomad_commit": "", "section_defs": [ { "used_directly": true, - "definition_id": "b729e4f513a17b6142767e5535beba91708c13bc", + "definition_id": "b1015a197cd459e4c6fa7fb3797e61fb5ae2f698", "definition_qualified_name": "entry_id:83DS7AzwqTKFVwlrdVeaL3kMSLU_.Process" }, { "used_directly": true, - "definition_id": "f3e96e7b60388fa6821dc2b45804aaaaef2c74aa", + "definition_id": "463190d96dbfc15e155003987c38e90a33f23699", "definition_qualified_name": "entry_id:83DS7AzwqTKFVwlrdVeaL3kMSLU_.Sample" }, { "used_directly": true, - "definition_id": "4f78f22cb32c9134ab4886289892c86d4c535d4e", + "definition_id": "9dbb9129992e8465899fa590f080cd2372b25263", "definition_qualified_name": "entry_id:83DS7AzwqTKFVwlrdVeaL3kMSLU_.Sample.Processes" }, { "used_directly": true, - "definition_id": "5dc1199d73fb589c01643a663f0381456baaa08d", + "definition_id": "1d4d27e0a85c6d427d5a508b3db8f42fc74e336e", "definition_qualified_name": "entry_id:83DS7AzwqTKFVwlrdVeaL3kMSLU_.Sample.Processes.HotplateAnnealing" }, { "used_directly": true, - "definition_id": "cf78db6a0eb9b133f780f36e6cbcc2066fa5aa01", + "definition_id": "2bccc77a670e159b0043329260c5b76c79f6d307", "definition_qualified_name": "entry_id:83DS7AzwqTKFVwlrdVeaL3kMSLU_.Sample.Processes.PvdEvaporation" }, { @@ -140,7 +141,7 @@ }, { "used_directly": true, - "definition_id": "1a9821c15d4ee2c92ebed46a981072f911f33e76", + "definition_id": "923fd8ffed25ac724d156dc4fa8696e7b778d6fb", "definition_qualified_name": "nomad.datamodel.datamodel.EntryArchive" }, { @@ -160,27 +161,27 @@ }, { "used_directly": false, - "definition_id": "452515af5cb7bc8c1d20f9701eca186369f612a1", - "definition_qualified_name": "nomad.datamodel.metainfo.eln.ElnActivityBaseSection" + "definition_id": "f206c717608ebd896849c324c5b3387a997670d9", + "definition_qualified_name": "nomad.datamodel.metainfo.eln.Activity" }, { "used_directly": false, - "definition_id": "05c13125f04981c8560d309e4647e139cb7ede63", + "definition_id": "4bc96e9848adb949d2a9c249399895fabff7f1d0", "definition_qualified_name": "nomad.datamodel.metainfo.eln.ElnBaseSection" }, { "used_directly": false, - "definition_id": "05886ab2544dd913005d5844ee0aec737731e171", + "definition_id": "eeae659a282a6ed4e1f9885cf6f84aa4b623cd52", "definition_qualified_name": "nomad.datamodel.metainfo.eln.ElnWithFormulaBaseSection" }, { "used_directly": false, - "definition_id": "3772fa53cde966eadb55808e99d9e420d40c16b7", + "definition_id": "37ff57223b98a7ea31463a54036e739a03e4a2ed", "definition_qualified_name": "nomad.datamodel.metainfo.eln.Process" }, { "used_directly": true, - "definition_id": "b071aea15c2f8d132e5a562355d110591e3d0de4", + "definition_id": "2fe7f36c48040045590d8ede8eb61c7d6bc759ac", "definition_qualified_name": "nomad.datamodel.metainfo.eln.Sample" }, { @@ -195,7 +196,7 @@ }, { "used_directly": true, - "definition_id": "1752078207d327d7d4b25f8ca831ca968da19479", + "definition_id": "8840348bb74559fc9efb985c3ff7785fa96a01a3", "definition_qualified_name": "nomad.datamodel.results.Results" }, { @@ -234,7 +235,7 @@ } }, "entry_name": "ELN example sample", - "last_processing_time": "2022-12-19T08:35:46.952000+00:00", + "last_processing_time": "2023-01-18T11:21:09.171000+00:00", "parser_name": "parsers/archive", "searchable_quantities": [ { @@ -261,12 +262,6 @@ "section_definition": "../uploads/eln_upload_id/archive/83DS7AzwqTKFVwlrdVeaL3kMSLU_#/definitions/section_definitions/3", "keyword_value": "SLG" }, - { - "path": "data.processes.pvd_evaporation.datetime", - "date_value": "2022-05-10T07:20:00+00:00", - "quantity_name": "datetime", - "section_definition": "nomad.datamodel.metainfo.eln.ElnActivityBaseSection" - }, { "text_value": "PVDProcess.csv", "path": "data.processes.pvd_evaporation.data_file", @@ -274,10 +269,34 @@ "section_definition": 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"section_definition": "../uploads/eln_upload_id/archive/83DS7AzwqTKFVwlrdVeaL3kMSLU_#/definitions/section_definitions/3/inner_section_definitions/0/inner_section_definitions/1", + "double_value": 60 + }, + { + "path": "data.processes.hotplate_annealing.timestamp", + "date_value": "2023-01-18T13:21:12.248758+00:00", + "quantity_name": "timestamp", + "section_definition": "nomad.datamodel.metainfo.eln.ElnBaseSection" + }, + { + "path": "data.timestamp", + "date_value": "2023-01-18T13:21:12.249453+00:00", + "quantity_name": "timestamp", + "section_definition": "nomad.datamodel.metainfo.eln.ElnBaseSection" } ], "calc_id": "bC7byHvWJp62Sn9uiuJUB38MT5j-", @@ -325,7 +344,7 @@ "name": "Test Tester" } ], - "entry_create_time": "2022-12-19T08:35:46.062000+00:00", + "entry_create_time": "2023-01-18T11:21:08.660000+00:00", "with_embargo": false, "files": [ "sample.archive.json", @@ -392,7 +411,7 @@ }, "headers": { "connection": "close", - "content-length": "14506", + "content-length": "15431", "content-type": "application/json", "server": "uvicorn" } @@ -432,7 +451,7 @@ "headers": { "accept": "application/json", "content-type": "application/json", - "authorization": "Bearer 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"2023-01-18T13:21:12.248758+00:00" + }, + { + "quantity_name": "timestamp", + "section_definition": "nomad.datamodel.metainfo.eln.ElnBaseSection", + "path": "data.timestamp", + "date_value": "2023-01-18T13:21:12.249453+00:00" } ] }, "data": { "m_def": "../upload/raw/schema.archive.yaml#/definitions/section_definitions/3", "name": "ELN example sample", + "timestamp": "2023-01-18T13:21:12.249453+00:00", "lab_id": "001", "description": "<p>A simple example for an \"sample\" that demonstrates how to combine different data entities.</p>\n<p>The sample it-self defines a few properties (involved chemicals, used substrate) and uses inherited default properties (formula, name, lab id, ...)</p>\n<p>But the sample also contains sub-sections that prodivde inforamtion about proccessed that were applied to this sample (PVD evaporation, hotplate annealing). </p>\n<p>The sample also show references to other entries (chemicals, instruments).</p>\n<p> </p>", "tags": [ @@ -806,7 +845,7 @@ "substrate_type": "SLG", "processes": { "pvd_evaporation": { - "datetime": "2022-05-10T07:20:00+00:00", + "timestamp": "2023-01-18T13:21:12.248304+00:00", "instrument": "../upload/raw/PVD-P.archive.json#data", "data_file": "PVDProcess.csv", "time": [ @@ -29758,7 +29797,7 @@ ] }, "hotplate_annealing": { - "datetime": "2022-05-10T07:22:00+00:00", + "timestamp": "2023-01-18T13:21:12.248758+00:00", "set_temperature": 373.15, "duration": 60 } @@ -29773,7 +29812,7 @@ }, "headers": { "connection": "close", - "content-length": "676062", + "content-length": "677136", "content-type": "application/json", "server": "uvicorn" } @@ -29807,7 +29846,7 @@ "headers": { "accept": "application/json, text/plain, */*", "content-type": "application/json", - "authorization": "Bearer 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"cookie": null } }, @@ -29848,6 +29887,7 @@ "data.form", "data.lab_id", "data.name", + "data.timestamp", "metadata", "metadata.coauthors", "metadata.datasets", @@ -29900,14 +29940,14 @@ "results.properties.available_properties" ], "datasets": [], - "n_quantities": 52, - "nomad_version": "1.1.2.dev647+g9297338f3", - "upload_create_time": "2022-12-19T08:35:45.758000+00:00", + "n_quantities": 53, + "nomad_version": "1.1.2.dev717+g548f58be7.d20221222", + "upload_create_time": "2023-01-18T11:21:08.341000+00:00", "nomad_commit": "", "section_defs": [ { "used_directly": true, - "definition_id": "6bcb944e0c70b59b214498bf8310bcdc80832765", + "definition_id": "85d9d467f38fcacd8e6c7a2908f778fc23d02efe", "definition_qualified_name": "entry_id:83DS7AzwqTKFVwlrdVeaL3kMSLU_.Chemical" }, { @@ -29922,7 +29962,7 @@ }, { "used_directly": true, - "definition_id": "1a9821c15d4ee2c92ebed46a981072f911f33e76", + "definition_id": "923fd8ffed25ac724d156dc4fa8696e7b778d6fb", "definition_qualified_name": "nomad.datamodel.datamodel.EntryArchive" }, { @@ -29937,17 +29977,17 @@ }, { "used_directly": true, - "definition_id": "db4c35aba78e8b2e0aedbfa5298ecbeda4c8af14", + "definition_id": "e07ec2c24592dbdc12ba728003e8d0e74ef6171f", "definition_qualified_name": "nomad.datamodel.metainfo.eln.Chemical" }, { "used_directly": false, - "definition_id": "05c13125f04981c8560d309e4647e139cb7ede63", + "definition_id": "4bc96e9848adb949d2a9c249399895fabff7f1d0", "definition_qualified_name": "nomad.datamodel.metainfo.eln.ElnBaseSection" }, { "used_directly": false, - "definition_id": "05886ab2544dd913005d5844ee0aec737731e171", + "definition_id": "eeae659a282a6ed4e1f9885cf6f84aa4b623cd52", "definition_qualified_name": "nomad.datamodel.metainfo.eln.ElnWithFormulaBaseSection" }, { @@ -29967,7 +30007,7 @@ }, { "used_directly": true, - "definition_id": "1752078207d327d7d4b25f8ca831ca968da19479", + "definition_id": "8840348bb74559fc9efb985c3ff7785fa96a01a3", "definition_qualified_name": "nomad.datamodel.results.Results" } ], @@ -30004,7 +30044,7 @@ } }, "entry_name": "Copper (II) Selenide", - "last_processing_time": "2022-12-19T08:35:46.938000+00:00", + "last_processing_time": "2023-01-18T11:21:09.171000+00:00", "parser_name": "parsers/archive", "searchable_quantities": [ { @@ -30048,6 +30088,12 @@ "path": "data.ec_number", "quantity_name": "ec_number", "section_definition": "../uploads/eln_upload_id/archive/83DS7AzwqTKFVwlrdVeaL3kMSLU_#/definitions/section_definitions/0" + }, + { + "path": "data.timestamp", + "date_value": "2023-01-18T13:21:09.252413+00:00", + "quantity_name": "timestamp", + "section_definition": "nomad.datamodel.metainfo.eln.ElnBaseSection" } ], "calc_id": "mvOv85uBWGZG0RmoIOhgxho8yMK5", @@ -30092,7 +30138,7 @@ "name": "Test Tester" } ], - "entry_create_time": "2022-12-19T08:35:45.915000+00:00", + "entry_create_time": "2023-01-18T11:21:08.503000+00:00", "with_embargo": false, "files": [ "Copper_II_Selenide.archive.json", @@ -30132,6 +30178,7 @@ "data.form", "data.lab_id", "data.name", + "data.timestamp", "metadata", "metadata.coauthors", "metadata.datasets", @@ -30184,14 +30231,14 @@ "results.properties.available_properties" ], "datasets": [], - "n_quantities": 52, - "nomad_version": "1.1.2.dev647+g9297338f3", - "upload_create_time": "2022-12-19T08:35:45.758000+00:00", + "n_quantities": 53, + "nomad_version": "1.1.2.dev717+g548f58be7.d20221222", + "upload_create_time": "2023-01-18T11:21:08.341000+00:00", "nomad_commit": "", "section_defs": [ { "used_directly": true, - "definition_id": "6bcb944e0c70b59b214498bf8310bcdc80832765", + "definition_id": "85d9d467f38fcacd8e6c7a2908f778fc23d02efe", "definition_qualified_name": "entry_id:83DS7AzwqTKFVwlrdVeaL3kMSLU_.Chemical" }, { @@ -30206,7 +30253,7 @@ }, { "used_directly": true, - "definition_id": "1a9821c15d4ee2c92ebed46a981072f911f33e76", + "definition_id": "923fd8ffed25ac724d156dc4fa8696e7b778d6fb", "definition_qualified_name": "nomad.datamodel.datamodel.EntryArchive" }, { @@ -30221,17 +30268,17 @@ }, { "used_directly": true, - "definition_id": "db4c35aba78e8b2e0aedbfa5298ecbeda4c8af14", + "definition_id": "e07ec2c24592dbdc12ba728003e8d0e74ef6171f", "definition_qualified_name": "nomad.datamodel.metainfo.eln.Chemical" }, { "used_directly": false, - "definition_id": "05c13125f04981c8560d309e4647e139cb7ede63", + "definition_id": "4bc96e9848adb949d2a9c249399895fabff7f1d0", "definition_qualified_name": "nomad.datamodel.metainfo.eln.ElnBaseSection" }, { "used_directly": false, - "definition_id": "05886ab2544dd913005d5844ee0aec737731e171", + "definition_id": "eeae659a282a6ed4e1f9885cf6f84aa4b623cd52", "definition_qualified_name": "nomad.datamodel.metainfo.eln.ElnWithFormulaBaseSection" }, { @@ -30251,7 +30298,7 @@ }, { "used_directly": true, - "definition_id": "1752078207d327d7d4b25f8ca831ca968da19479", + "definition_id": "8840348bb74559fc9efb985c3ff7785fa96a01a3", "definition_qualified_name": "nomad.datamodel.results.Results" } ], @@ -30288,7 +30335,7 @@ } }, "entry_name": "Tin (II) Selenide", - "last_processing_time": "2022-12-19T08:35:46.937000+00:00", + "last_processing_time": "2023-01-18T11:21:09.169000+00:00", "parser_name": "parsers/archive", "searchable_quantities": [ { @@ -30332,6 +30379,12 @@ "path": "data.ec_number", "quantity_name": "ec_number", "section_definition": "../uploads/eln_upload_id/archive/83DS7AzwqTKFVwlrdVeaL3kMSLU_#/definitions/section_definitions/0" + }, + { + "path": "data.timestamp", + "date_value": "2023-01-18T13:21:09.250063+00:00", + "quantity_name": "timestamp", + "section_definition": "nomad.datamodel.metainfo.eln.ElnBaseSection" } ], "calc_id": "IDoCNIYzEGqZN-rPIeKzPl2b6poF", @@ -30376,7 +30429,7 @@ "name": "Test Tester" } ], - "entry_create_time": "2022-12-19T08:35:46.032000+00:00", + "entry_create_time": "2023-01-18T11:21:08.627000+00:00", "with_embargo": false, "files": [ "Tin_II_Selenide.archive.json", @@ -30416,6 +30469,7 @@ "data.form", "data.lab_id", "data.name", + "data.timestamp", "metadata", "metadata.coauthors", "metadata.datasets", @@ -30468,14 +30522,14 @@ "results.properties.available_properties" ], "datasets": [], - "n_quantities": 52, - "nomad_version": "1.1.2.dev647+g9297338f3", - "upload_create_time": "2022-12-19T08:35:45.758000+00:00", + "n_quantities": 53, + "nomad_version": "1.1.2.dev717+g548f58be7.d20221222", + "upload_create_time": "2023-01-18T11:21:08.341000+00:00", "nomad_commit": "", "section_defs": [ { "used_directly": true, - "definition_id": "6bcb944e0c70b59b214498bf8310bcdc80832765", + "definition_id": "85d9d467f38fcacd8e6c7a2908f778fc23d02efe", "definition_qualified_name": "entry_id:83DS7AzwqTKFVwlrdVeaL3kMSLU_.Chemical" }, { @@ -30490,7 +30544,7 @@ }, { "used_directly": true, - "definition_id": "1a9821c15d4ee2c92ebed46a981072f911f33e76", + "definition_id": "923fd8ffed25ac724d156dc4fa8696e7b778d6fb", "definition_qualified_name": "nomad.datamodel.datamodel.EntryArchive" }, { @@ -30505,17 +30559,17 @@ }, { "used_directly": true, - "definition_id": "db4c35aba78e8b2e0aedbfa5298ecbeda4c8af14", + "definition_id": "e07ec2c24592dbdc12ba728003e8d0e74ef6171f", "definition_qualified_name": "nomad.datamodel.metainfo.eln.Chemical" }, { "used_directly": false, - "definition_id": "05c13125f04981c8560d309e4647e139cb7ede63", + "definition_id": "4bc96e9848adb949d2a9c249399895fabff7f1d0", "definition_qualified_name": "nomad.datamodel.metainfo.eln.ElnBaseSection" }, { "used_directly": false, - "definition_id": "05886ab2544dd913005d5844ee0aec737731e171", + "definition_id": "eeae659a282a6ed4e1f9885cf6f84aa4b623cd52", "definition_qualified_name": "nomad.datamodel.metainfo.eln.ElnWithFormulaBaseSection" }, { @@ -30535,7 +30589,7 @@ }, { "used_directly": true, - "definition_id": "1752078207d327d7d4b25f8ca831ca968da19479", + "definition_id": "8840348bb74559fc9efb985c3ff7785fa96a01a3", "definition_qualified_name": "nomad.datamodel.results.Results" } ], @@ -30572,7 +30626,7 @@ } }, "entry_name": "Zinc Selenide", - "last_processing_time": 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", "tsa_server": "http://time.certum.pl/", - "timestamp": "2022-12-19T08:35:46+00:00" + "timestamp": "2023-01-18T11:21:09+00:00" }, "section_defs": [ { @@ -31653,7 +31718,7 @@ }, { "definition_qualified_name": "nomad.datamodel.datamodel.EntryArchive", - "definition_id": "1a9821c15d4ee2c92ebed46a981072f911f33e76", + "definition_id": "923fd8ffed25ac724d156dc4fa8696e7b778d6fb", "used_directly": true }, { @@ -31673,7 +31738,7 @@ }, { "definition_qualified_name": "nomad.datamodel.results.Results", - "definition_id": "1752078207d327d7d4b25f8ca831ca968da19479", + "definition_id": "8840348bb74559fc9efb985c3ff7785fa96a01a3", "used_directly": true }, { @@ -31714,7 +31779,7 @@ }, "headers": { "connection": "close", - "content-length": "35403", + "content-length": "35295", "content-type": "application/json", "server": "uvicorn" } diff --git a/gui/tests/data/entry/eln-concurrent.json b/gui/tests/data/entry/eln-concurrent.json index 06108d449cc91854e86647f93b8df6be7c9ec237..26678ea901526019aba8edfa7e8abd9d35605c2e 100644 --- a/gui/tests/data/entry/eln-concurrent.json +++ b/gui/tests/data/entry/eln-concurrent.json @@ -7,7 +7,7 @@ "body": "", "headers": { "accept": "application/json", - "authorization": "Bearer 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"used_directly": false, - "definition_id": "05c13125f04981c8560d309e4647e139cb7ede63", + "definition_id": "4bc96e9848adb949d2a9c249399895fabff7f1d0", "definition_qualified_name": "nomad.datamodel.metainfo.eln.ElnBaseSection" }, { "used_directly": false, - "definition_id": "05886ab2544dd913005d5844ee0aec737731e171", + "definition_id": "eeae659a282a6ed4e1f9885cf6f84aa4b623cd52", "definition_qualified_name": "nomad.datamodel.metainfo.eln.ElnWithFormulaBaseSection" }, { "used_directly": false, - "definition_id": "3772fa53cde966eadb55808e99d9e420d40c16b7", + "definition_id": "37ff57223b98a7ea31463a54036e739a03e4a2ed", "definition_qualified_name": "nomad.datamodel.metainfo.eln.Process" }, { "used_directly": true, - "definition_id": "b071aea15c2f8d132e5a562355d110591e3d0de4", + "definition_id": "2fe7f36c48040045590d8ede8eb61c7d6bc759ac", "definition_qualified_name": "nomad.datamodel.metainfo.eln.Sample" }, { @@ -593,7 +613,7 @@ }, { "used_directly": true, - "definition_id": 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"section_definition": "../uploads/eln_upload_id/archive/83DS7AzwqTKFVwlrdVeaL3kMSLU_#/definitions/section_definitions/3/inner_section_definitions/0/inner_section_definitions/1", + "double_value": 60 + }, + { + "path": "data.processes.hotplate_annealing.timestamp", + "date_value": "2023-01-18T13:21:59.401511+00:00", + "quantity_name": "timestamp", + "section_definition": "nomad.datamodel.metainfo.eln.ElnBaseSection" + }, + { + "path": "data.timestamp", + "date_value": "2023-01-18T13:21:59.402213+00:00", + "quantity_name": "timestamp", + "section_definition": "nomad.datamodel.metainfo.eln.ElnBaseSection" } ], "calc_id": "bC7byHvWJp62Sn9uiuJUB38MT5j-", @@ -723,7 +761,7 @@ "name": "Test Tester" } ], - "entry_create_time": "2022-12-19T08:36:36.712000+00:00", + "entry_create_time": "2023-01-18T11:21:55.755000+00:00", "with_embargo": false, "files": [ "sample.archive.json", @@ -790,7 +828,7 @@ }, "headers": { "connection": "close", - "content-length": "14506", + "content-length": "15431", "content-type": "application/json", "server": "uvicorn" } @@ -803,7 +841,7 @@ "body": "", "headers": { "accept": "application/json", - "authorization": "Bearer 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"1d4d27e0a85c6d427d5a508b3db8f42fc74e336e", "definition_qualified_name": "entry_id:83DS7AzwqTKFVwlrdVeaL3kMSLU_.Sample.Processes.HotplateAnnealing" }, { "used_directly": true, - "definition_id": "cf78db6a0eb9b133f780f36e6cbcc2066fa5aa01", + "definition_id": "2bccc77a670e159b0043329260c5b76c79f6d307", "definition_qualified_name": "entry_id:83DS7AzwqTKFVwlrdVeaL3kMSLU_.Sample.Processes.PvdEvaporation" }, { @@ -936,7 +975,7 @@ }, { "used_directly": true, - "definition_id": "1a9821c15d4ee2c92ebed46a981072f911f33e76", + "definition_id": "923fd8ffed25ac724d156dc4fa8696e7b778d6fb", "definition_qualified_name": "nomad.datamodel.datamodel.EntryArchive" }, { @@ -956,27 +995,27 @@ }, { "used_directly": false, - "definition_id": "452515af5cb7bc8c1d20f9701eca186369f612a1", - "definition_qualified_name": "nomad.datamodel.metainfo.eln.ElnActivityBaseSection" + "definition_id": "f206c717608ebd896849c324c5b3387a997670d9", + "definition_qualified_name": "nomad.datamodel.metainfo.eln.Activity" }, { "used_directly": false, - "definition_id": "05c13125f04981c8560d309e4647e139cb7ede63", + "definition_id": "4bc96e9848adb949d2a9c249399895fabff7f1d0", "definition_qualified_name": "nomad.datamodel.metainfo.eln.ElnBaseSection" }, { "used_directly": false, - "definition_id": "05886ab2544dd913005d5844ee0aec737731e171", + "definition_id": "eeae659a282a6ed4e1f9885cf6f84aa4b623cd52", "definition_qualified_name": "nomad.datamodel.metainfo.eln.ElnWithFormulaBaseSection" }, { "used_directly": false, - "definition_id": "3772fa53cde966eadb55808e99d9e420d40c16b7", + "definition_id": "37ff57223b98a7ea31463a54036e739a03e4a2ed", "definition_qualified_name": "nomad.datamodel.metainfo.eln.Process" }, { "used_directly": true, - "definition_id": "b071aea15c2f8d132e5a562355d110591e3d0de4", + "definition_id": "2fe7f36c48040045590d8ede8eb61c7d6bc759ac", "definition_qualified_name": "nomad.datamodel.metainfo.eln.Sample" }, { @@ -991,7 +1030,7 @@ }, { "used_directly": true, - "definition_id": "1752078207d327d7d4b25f8ca831ca968da19479", + "definition_id": "8840348bb74559fc9efb985c3ff7785fa96a01a3", "definition_qualified_name": "nomad.datamodel.results.Results" }, { @@ -1030,7 +1069,7 @@ } }, "entry_name": "ELN example sample", - "last_processing_time": "2022-12-19T08:36:37.630000+00:00", + "last_processing_time": "2023-01-18T11:21:56.265000+00:00", "parser_name": "parsers/archive", "searchable_quantities": [ { @@ -1057,12 +1096,6 @@ "section_definition": "../uploads/eln_upload_id/archive/83DS7AzwqTKFVwlrdVeaL3kMSLU_#/definitions/section_definitions/3", "keyword_value": "SLG" }, - { - "path": "data.processes.pvd_evaporation.datetime", - "date_value": "2022-05-10T07:20:00+00:00", - "quantity_name": "datetime", - "section_definition": "nomad.datamodel.metainfo.eln.ElnActivityBaseSection" - }, { "text_value": "PVDProcess.csv", "path": "data.processes.pvd_evaporation.data_file", @@ -1070,10 +1103,34 @@ "section_definition": 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"2023-01-18T13:21:59.401511+00:00" + }, + { + "quantity_name": "timestamp", + "section_definition": "nomad.datamodel.metainfo.eln.ElnBaseSection", + "path": "data.timestamp", + "date_value": "2023-01-18T13:21:59.402213+00:00" } ] }, "data": { "m_def": "../upload/raw/schema.archive.yaml#/definitions/section_definitions/3", "name": "ELN example sample", + "timestamp": "2023-01-18T13:21:59.402213+00:00", "lab_id": "001", "description": "<p>A simple example for an \"sample\" that demonstrates how to combine different data entities.</p>\n<p>The sample it-self defines a few properties (involved chemicals, used substrate) and uses inherited default properties (formula, name, lab id, ...)</p>\n<p>But the sample also contains sub-sections that prodivde inforamtion about proccessed that were applied to this sample (PVD evaporation, hotplate annealing). </p>\n<p>The sample also show references to other entries (chemicals, instruments).</p>\n<p> </p>", "tags": [ @@ -1602,7 +1679,7 @@ 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"process_worker_id": "qenzCvaqS1Ka_FXvpz0xLg", "parser": "parsers/archive", "logger": "nomad.processing", - "timestamp": "2022-12-19 10:36.37", + "timestamp": "2023-01-18 13:21.56", "level": "INFO" }, { - "exec_time": "0.001590728759765625", + "exec_time": "0.001976490020751953", "input_size": "1469", "event": "normalizer executed", "proc": "Entry", "process": "process_entry", - "process_worker_id": "J6I4rZ2tSii204w1FpjnBQ", + "process_worker_id": "qenzCvaqS1Ka_FXvpz0xLg", "parser": "parsers/archive", "normalizer": "ResultsNormalizer", "step": "ResultsNormalizer", "logger": "nomad.processing", - "timestamp": "2022-12-19 10:36.37", + "timestamp": "2023-01-18 13:21.56", "level": "INFO" }, { @@ -30655,52 +30732,53 @@ "event": "normalizer completed successfully", "proc": "Entry", "process": "process_entry", - "process_worker_id": "J6I4rZ2tSii204w1FpjnBQ", + "process_worker_id": "qenzCvaqS1Ka_FXvpz0xLg", "parser": "parsers/archive", "logger": "nomad.processing", - "timestamp": "2022-12-19 10:36.40", + "timestamp": "2023-01-18 13:21.59", "level": "INFO" }, { - "exec_time": "2.5593690872192383", + "exec_time": "3.010312795639038", "input_size": "1469", "event": "normalizer executed", "proc": "Entry", "process": "process_entry", - "process_worker_id": "J6I4rZ2tSii204w1FpjnBQ", + "process_worker_id": "qenzCvaqS1Ka_FXvpz0xLg", "parser": "parsers/archive", "normalizer": "MetainfoNormalizer", "step": "MetainfoNormalizer", "logger": "nomad.processing", - "timestamp": "2022-12-19 10:36.40", + "timestamp": "2023-01-18 13:21.59", "level": "INFO" }, { - "exec_time": "0.009022951126098633", + "exec_time": "0.009633302688598633", "event": "entry metadata saved", "proc": "Entry", "process": "process_entry", - "process_worker_id": "J6I4rZ2tSii204w1FpjnBQ", + "process_worker_id": "qenzCvaqS1Ka_FXvpz0xLg", "parser": "parsers/archive", "logger": "nomad.processing", - "timestamp": "2022-12-19 10:36.40", + "timestamp": "2023-01-18 13:21.59", "level": "INFO" }, { - "exec_time": "0.017974853515625", + "exec_time": "0.06500816345214844", "event": "entry metadata indexed", "proc": "Entry", "process": "process_entry", - "process_worker_id": "J6I4rZ2tSii204w1FpjnBQ", + "process_worker_id": "qenzCvaqS1Ka_FXvpz0xLg", "parser": "parsers/archive", "logger": "nomad.processing", - "timestamp": "2022-12-19 10:36.40", + "timestamp": "2023-01-18 13:21.59", "level": "INFO" } ], "data": { "m_def": "../upload/raw/schema.archive.yaml#/definitions/section_definitions/3", "name": "ELN example sample", + "timestamp": "2023-01-18T13:21:59.402213+00:00", "lab_id": "001", "description": "<p>A simple example for an \"sample\" that demonstrates how to combine different data entities.</p>\n<p>The sample it-self defines a few properties (involved chemicals, used substrate) and uses inherited default properties (formula, name, lab id, ...)</p>\n<p>But the sample also contains sub-sections that prodivde inforamtion about proccessed that were applied to this sample (PVD evaporation, hotplate annealing). </p>\n<p>The sample also show references to other entries (chemicals, instruments).</p>\n<p> </p>", "tags": [ @@ -30714,7 +30792,7 @@ "substrate_type": "SLG", "processes": { "pvd_evaporation": { - "datetime": "2022-05-10T07:20:00+00:00", + "timestamp": "2023-01-18T13:21:59.401054+00:00", "instrument": "../upload/raw/PVD-P.archive.json#data", "data_file": "PVDProcess.csv", "time": [ @@ -59666,7 +59744,7 @@ ] }, "hotplate_annealing": { - "datetime": "2022-05-10T07:22:00+00:00", + "timestamp": "2023-01-18T13:21:59.401511+00:00", "set_temperature": 373.15, "duration": 60 } @@ -59674,12 +59752,12 @@ }, "metadata": { "upload_id": "eln_upload_id", - "upload_create_time": "2022-12-19T08:36:36.422000+00:00", + "upload_create_time": "2023-01-18T11:21:55.404000+00:00", "entry_id": "bC7byHvWJp62Sn9uiuJUB38MT5j-", "entry_name": "ELN example sample", "entry_type": "Sample", - "entry_hash": "CcET_ASxyul-r0csVVafDPmcpvtB", - "entry_create_time": "2022-12-19T08:36:36.712000+00:00", + "entry_hash": "XHZK3LbguZipoP3qkHXEkmobWKr8", + "entry_create_time": "2023-01-18T11:21:55.755000+00:00", "parser_name": "parsers/archive", "mainfile": "sample.archive.json", "files": [ @@ -59697,9 +59775,9 @@ "embargo_length": 0, "license": "CC BY 4.0", "processed": true, - "last_processing_time": "2022-12-19T08:36:37.630344+00:00", + "last_processing_time": "2023-01-18T11:21:56.265591+00:00", "processing_errors": [], - "nomad_version": "1.1.2.dev647+g9297338f3", + "nomad_version": "1.1.2.dev717+g548f58be7.d20221222", "nomad_commit": "", "references": [], "main_author": "68878af7-6845-46c0-b2c1-250d4d8eb470", @@ -59711,7 +59789,7 @@ "54cb1f64-f84e-4815-9ade-440ce0b5430f" ], "datasets": [], - "n_quantities": 60, + "n_quantities": 61, "quantities": [ "", "data", @@ -59721,18 +59799,19 @@ "data.name", "data.processes", "data.processes.hotplate_annealing", - "data.processes.hotplate_annealing.datetime", "data.processes.hotplate_annealing.duration", "data.processes.hotplate_annealing.set_temperature", + "data.processes.hotplate_annealing.timestamp", "data.processes.pvd_evaporation", "data.processes.pvd_evaporation.chamber_pressure", "data.processes.pvd_evaporation.data_file", - "data.processes.pvd_evaporation.datetime", "data.processes.pvd_evaporation.instrument", "data.processes.pvd_evaporation.substrate_temperature", "data.processes.pvd_evaporation.time", + "data.processes.pvd_evaporation.timestamp", "data.substrate_type", "data.tags", + "data.timestamp", "metadata", "metadata.coauthors", "metadata.datasets", @@ -59804,35 +59883,35 @@ ], "entry_timestamp": { "m_def": "nomad.datamodel.datamodel.RFC3161Timestamp", - "token_seed": "CcET_ASxyul-r0csVVafDPmcpvtB", - "token": 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Its formula is sometimes described as <em>CuSe</em> or <em>Cu2Se</em>.</p>" + "<p><strong>Tin selenide</strong>, also known as stannous selenide, is an inorganic compound with the formula <em>SnSe</em>.</p>\n<p>Tin(II) Selenide is a crystalline solid used as a semiconductor and in photo optic applications. </p>" ], "sections": [ "Chemical" ], "lab_ids": [ - "0024" + "0023" ] }, "properties": { "available_properties": [] } }, - "entry_name": "Copper (II) Selenide", - "last_processing_time": "2022-12-19T08:36:37.621000+00:00", + "entry_name": "Tin (II) Selenide", + "last_processing_time": "2023-01-18T11:21:56.270000+00:00", "parser_name": "parsers/archive", "searchable_quantities": [ { - "text_value": "Copper (II) Selenide", + "text_value": "Tin (II) Selenide", "path": "data.name", "quantity_name": "name", "section_definition": "nomad.datamodel.metainfo.eln.ElnBaseSection" }, { - "text_value": "0024", + "text_value": "0023", "path": "data.lab_id", "quantity_name": "lab_id", "section_definition": "nomad.datamodel.metainfo.eln.ElnBaseSection" }, { - "text_value": "<p><strong>Copper selenide</strong> is an inorganic binary compound consisting of copper and selenium. Its formula is sometimes described as <em>CuSe</em> or <em>Cu2Se</em>.</p>", + "text_value": "<p><strong>Tin selenide</strong>, also known as stannous selenide, is an inorganic compound with the formula <em>SnSe</em>.</p>\n<p>Tin(II) Selenide is a crystalline solid used as a semiconductor and in photo optic applications. </p>", "path": "data.description", "quantity_name": "description", "section_definition": "nomad.datamodel.metainfo.eln.ElnBaseSection" }, { - "text_value": "Cu2Se", + "text_value": "Sn2Se", "path": "data.chemical_formula", "quantity_name": "chemical_formula", "section_definition": "nomad.datamodel.metainfo.eln.ElnWithFormulaBaseSection" @@ -91148,19 +90081,25 @@ "keyword_value": "crystalline solid" }, { - "text_value": "1317-41-5", + "text_value": "1315-06-6", "path": "data.cas_number", "quantity_name": "cas_number", "section_definition": "../uploads/eln_upload_id/archive/83DS7AzwqTKFVwlrdVeaL3kMSLU_#/definitions/section_definitions/0" }, { - "text_value": "215-272-8", + "text_value": "215-257-6", "path": "data.ec_number", "quantity_name": "ec_number", "section_definition": "../uploads/eln_upload_id/archive/83DS7AzwqTKFVwlrdVeaL3kMSLU_#/definitions/section_definitions/0" + }, + { + "path": "data.timestamp", + "date_value": "2023-01-18T13:21:56.353798+00:00", + "quantity_name": "timestamp", + "section_definition": "nomad.datamodel.metainfo.eln.ElnBaseSection" } ], - 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"definition_id": "05c13125f04981c8560d309e4647e139cb7ede63", + "definition_id": "4bc96e9848adb949d2a9c249399895fabff7f1d0", "definition_qualified_name": "nomad.datamodel.metainfo.eln.ElnBaseSection" }, { "used_directly": false, - "definition_id": "05886ab2544dd913005d5844ee0aec737731e171", + "definition_id": "eeae659a282a6ed4e1f9885cf6f84aa4b623cd52", "definition_qualified_name": "nomad.datamodel.metainfo.eln.ElnWithFormulaBaseSection" }, { @@ -91361,7 +90301,7 @@ }, { "used_directly": true, - "definition_id": "1752078207d327d7d4b25f8ca831ca968da19479", + "definition_id": "8840348bb74559fc9efb985c3ff7785fa96a01a3", "definition_qualified_name": "nomad.datamodel.results.Results" } ], @@ -91369,58 +90309,58 @@ "results": { "material": { "elements": [ - "Sn", + "Zn", "Se" ], - "elements_exclusive": "Se Sn", + "elements_exclusive": "Se Zn", "structural_type": "not processed", - "chemical_formula_reduced": "Sn2Se", + "chemical_formula_reduced": "ZnSe", "n_elements": 2, - "chemical_formula_descriptive": "Sn2Se", - "chemical_formula_hill": "SeSn2" + "chemical_formula_descriptive": "ZnSe", + "chemical_formula_hill": "SeZn" }, "eln": { "names": [ - "Tin (II) Selenide" + "Zinc Selenide" ], "descriptions": [ - "<p><strong>Tin selenide</strong>, also known as stannous selenide, is an inorganic compound with the formula <em>SnSe</em>.</p>\n<p>Tin(II) Selenide is a crystalline solid used as a semiconductor and in photo optic applications. </p>" + "<p><strong>Zinc selenide</strong> (<em>ZnSe</em>) is a light-yellow, solid compound comprising zinc (<em>Zn</em>) and selenium (<em>Se</em>). It is an intrinsic semiconductor with a band gap of about 2.70 eV at 25 °C (77 °F).</p>" ], "sections": [ "Chemical" ], "lab_ids": [ - "0023" + "0025" ] }, "properties": { "available_properties": [] } }, - "entry_name": "Tin (II) Selenide", - "last_processing_time": "2022-12-19T08:36:37.631000+00:00", + "entry_name": "Zinc Selenide", + "last_processing_time": "2023-01-18T11:21:56.268000+00:00", "parser_name": "parsers/archive", "searchable_quantities": [ { - "text_value": "Tin (II) Selenide", + "text_value": "Zinc Selenide", "path": "data.name", "quantity_name": "name", "section_definition": "nomad.datamodel.metainfo.eln.ElnBaseSection" }, { - "text_value": "0023", + "text_value": "0025", "path": "data.lab_id", "quantity_name": "lab_id", "section_definition": "nomad.datamodel.metainfo.eln.ElnBaseSection" }, { - "text_value": "<p><strong>Tin selenide</strong>, also known as stannous selenide, is an inorganic compound with the formula <em>SnSe</em>.</p>\n<p>Tin(II) Selenide is a crystalline solid used as a semiconductor and in photo optic applications. </p>", + "text_value": "<p><strong>Zinc selenide</strong> (<em>ZnSe</em>) is a light-yellow, solid compound comprising zinc (<em>Zn</em>) and selenium (<em>Se</em>). It is an intrinsic semiconductor with a band gap of about 2.70 eV at 25 °C (77 °F).</p>", "path": "data.description", "quantity_name": "description", "section_definition": "nomad.datamodel.metainfo.eln.ElnBaseSection" }, { - "text_value": "Sn2Se", + "text_value": "ZnSe", "path": "data.chemical_formula", "quantity_name": "chemical_formula", "section_definition": "nomad.datamodel.metainfo.eln.ElnWithFormulaBaseSection" @@ -91429,22 +90369,28 @@ "path": "data.form", "quantity_name": "form", "section_definition": "../uploads/eln_upload_id/archive/83DS7AzwqTKFVwlrdVeaL3kMSLU_#/definitions/section_definitions/0", - "keyword_value": "crystalline solid" + "keyword_value": "powder" }, { - "text_value": "1315-06-6", + "text_value": "1315-09-9", "path": "data.cas_number", "quantity_name": "cas_number", "section_definition": "../uploads/eln_upload_id/archive/83DS7AzwqTKFVwlrdVeaL3kMSLU_#/definitions/section_definitions/0" }, { - "text_value": "215-257-6", + "text_value": "215-259-7", "path": "data.ec_number", "quantity_name": "ec_number", "section_definition": "../uploads/eln_upload_id/archive/83DS7AzwqTKFVwlrdVeaL3kMSLU_#/definitions/section_definitions/0" + }, + { + "path": "data.timestamp", + "date_value": "2023-01-18T13:21:56.386706+00:00", + "quantity_name": "timestamp", + "section_definition": "nomad.datamodel.metainfo.eln.ElnBaseSection" } ], - "calc_id": "IDoCNIYzEGqZN-rPIeKzPl2b6poF", + "calc_id": "HJjDrI3HRtHFW40uNbE8eHLiHKqs", "published": false, "writers": [ { @@ -91467,7 +90413,7 @@ "nomad.datamodel.results.Results" ], "processed": true, - "mainfile": "Tin_II_Selenide.archive.json", + "mainfile": "Zinc_Selenide.archive.json", "main_author": { "user_id": "68878af7-6845-46c0-b2c1-250d4d8eb470", "name": "Markus Scheidgen" @@ -91486,20 +90432,20 @@ "name": "Test Tester" } ], - "entry_create_time": "2022-12-19T08:36:36.682000+00:00", + "entry_create_time": "2023-01-18T11:21:55.738000+00:00", "with_embargo": false, "files": [ - "Tin_II_Selenide.archive.json", + "Zinc_Selenide.archive.json", "Copper_II_Selenide.archive.json", "PVD-P.archive.json", "PVDProcess.csv", "README.md", - "Zinc_Selenide.archive.json", + "Tin_II_Selenide.archive.json", "sample.archive.json", "schema.archive.yaml" ], "entry_type": "Chemical", - "entry_id": "IDoCNIYzEGqZN-rPIeKzPl2b6poF", + "entry_id": "HJjDrI3HRtHFW40uNbE8eHLiHKqs", "authors": [ { "user_id": "68878af7-6845-46c0-b2c1-250d4d8eb470", @@ -91519,13 +90465,10 @@ "quantities": [ "", "data", - "data.cas_number", - "data.chemical_formula", "data.description", - "data.ec_number", - "data.form", "data.lab_id", "data.name", + "data.timestamp", "metadata", "metadata.coauthors", "metadata.datasets", @@ -91566,27 +90509,23 @@ "results", "results.eln", "results.eln.descriptions", + "results.eln.instruments", "results.eln.lab_ids", "results.eln.names", "results.eln.sections", - "results.material", - "results.material.chemical_formula_descriptive", - "results.material.chemical_formula_hill", - "results.material.chemical_formula_reduced", - "results.material.elements", "results.properties", "results.properties.available_properties" ], "datasets": [], - "n_quantities": 52, - "nomad_version": "1.1.2.dev647+g9297338f3", - "upload_create_time": "2022-12-19T08:36:36.422000+00:00", + "n_quantities": 45, + "nomad_version": "1.1.2.dev717+g548f58be7.d20221222", + "upload_create_time": "2023-01-18T11:21:55.404000+00:00", "nomad_commit": "", "section_defs": [ { "used_directly": true, - "definition_id": "6bcb944e0c70b59b214498bf8310bcdc80832765", - "definition_qualified_name": "entry_id:83DS7AzwqTKFVwlrdVeaL3kMSLU_.Chemical" + "definition_id": "0e62188447400f10184f6594b639610a034e8268", + "definition_qualified_name": "entry_id:83DS7AzwqTKFVwlrdVeaL3kMSLU_.Instrument" }, { "used_directly": true, @@ -91600,7 +90539,7 @@ }, { "used_directly": true, - "definition_id": "1a9821c15d4ee2c92ebed46a981072f911f33e76", + "definition_id": "923fd8ffed25ac724d156dc4fa8696e7b778d6fb", "definition_qualified_name": "nomad.datamodel.datamodel.EntryArchive" }, { @@ -91613,31 +90552,21 @@ "definition_id": "265ae33dbc9ace82b50260c1050d30c59ef9cb3c", "definition_qualified_name": "nomad.datamodel.datamodel.RFC3161Timestamp" }, - { - "used_directly": true, - "definition_id": "db4c35aba78e8b2e0aedbfa5298ecbeda4c8af14", - "definition_qualified_name": "nomad.datamodel.metainfo.eln.Chemical" - }, { "used_directly": false, - "definition_id": "05c13125f04981c8560d309e4647e139cb7ede63", + "definition_id": "4bc96e9848adb949d2a9c249399895fabff7f1d0", "definition_qualified_name": "nomad.datamodel.metainfo.eln.ElnBaseSection" }, { - "used_directly": false, - "definition_id": "05886ab2544dd913005d5844ee0aec737731e171", - "definition_qualified_name": "nomad.datamodel.metainfo.eln.ElnWithFormulaBaseSection" + "used_directly": true, + "definition_id": "d898e59489078d6da6e3f164b3a680c9a1d9cea5", + "definition_qualified_name": "nomad.datamodel.metainfo.eln.Instrument" }, { "used_directly": true, "definition_id": "eeed330bd18d40f3a2a00cc35ba6f58808d0c543", "definition_qualified_name": "nomad.datamodel.results.ELN" }, - { - "used_directly": true, - "definition_id": "43920083339a4aa13c70d035cc502203940ada12", - "definition_qualified_name": "nomad.datamodel.results.Material" - }, { "used_directly": true, "definition_id": "084f877453597ae0c8287d3acc193c32020ab572", @@ -91645,90 +90574,63 @@ }, { "used_directly": true, - "definition_id": "1752078207d327d7d4b25f8ca831ca968da19479", + "definition_id": "8840348bb74559fc9efb985c3ff7785fa96a01a3", "definition_qualified_name": "nomad.datamodel.results.Results" } ], "processing_errors": [], "results": { - "material": { - "elements": [ - "Zn", - "Se" - ], - "elements_exclusive": "Se Zn", - "structural_type": "not processed", - "chemical_formula_reduced": "ZnSe", - "n_elements": 2, - "chemical_formula_descriptive": "ZnSe", - "chemical_formula_hill": "SeZn" - }, "eln": { "names": [ - "Zinc Selenide" + "PVD-P" + ], + "instruments": [ + "PVD-P" ], "descriptions": [ - "<p><strong>Zinc selenide</strong> (<em>ZnSe</em>) is a light-yellow, solid compound comprising zinc (<em>Zn</em>) and selenium (<em>Se</em>). It is an intrinsic semiconductor with a band gap of about 2.70 eV at 25 °C (77 °F).</p>" + "<p><img 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alt=\"PVD process\" width=\"500\" height=\"348\" /></p>" ], "sections": [ - "Chemical" + "Instrument" ], "lab_ids": [ - "0025" + "I-02" ] }, "properties": { "available_properties": [] } }, - "entry_name": "Zinc Selenide", - "last_processing_time": "2022-12-19T08:36:37.631000+00:00", + "entry_name": "PVD-P", + "last_processing_time": "2023-01-18T11:21:56.256000+00:00", "parser_name": "parsers/archive", "searchable_quantities": [ { - "text_value": "Zinc Selenide", + "text_value": "PVD-P", "path": "data.name", "quantity_name": "name", "section_definition": "nomad.datamodel.metainfo.eln.ElnBaseSection" }, { - "text_value": "0025", + "text_value": "I-02", "path": "data.lab_id", "quantity_name": "lab_id", "section_definition": "nomad.datamodel.metainfo.eln.ElnBaseSection" }, { - "text_value": "<p><strong>Zinc selenide</strong> (<em>ZnSe</em>) is a light-yellow, solid compound comprising zinc (<em>Zn</em>) and selenium (<em>Se</em>). It is an intrinsic semiconductor with a band gap of about 2.70 eV at 25 °C (77 °F).</p>", + "text_value": "<p><img 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alt=\"PVD process\" width=\"500\" height=\"348\" /></p>" + "<p><strong>Copper selenide</strong> is an inorganic binary compound consisting of copper and selenium. Its formula is sometimes described as <em>CuSe</em> or <em>Cu2Se</em>.</p>" ], "sections": [ - "Instrument" + "Chemical" ], "lab_ids": [ - "I-02" + "0024" ] }, "properties": { "available_properties": [] } }, - "entry_name": "PVD-P", - "last_processing_time": "2022-12-19T08:36:37.622000+00:00", + "entry_name": "Copper (II) Selenide", + "last_processing_time": "2023-01-18T11:21:56.268000+00:00", "parser_name": "parsers/archive", "searchable_quantities": [ { - "text_value": "PVD-P", + "text_value": "Copper (II) Selenide", "path": "data.name", "quantity_name": "name", "section_definition": "nomad.datamodel.metainfo.eln.ElnBaseSection" }, { - "text_value": "I-02", + "text_value": "0024", "path": "data.lab_id", "quantity_name": "lab_id", "section_definition": "nomad.datamodel.metainfo.eln.ElnBaseSection" }, { - "text_value": "<p><img 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"definition_id": "1752078207d327d7d4b25f8ca831ca968da19479", + "definition_id": "8840348bb74559fc9efb985c3ff7785fa96a01a3", "definition_qualified_name": "nomad.datamodel.results.Results" } ], @@ -92285,58 +91246,58 @@ "results": { "material": { "elements": [ - "Cu", + "Sn", "Se" ], - "elements_exclusive": "Cu Se", + "elements_exclusive": "Se Sn", "structural_type": "not processed", - "chemical_formula_reduced": "Cu2Se", + "chemical_formula_reduced": "Sn2Se", "n_elements": 2, - "chemical_formula_descriptive": "Cu2Se", - "chemical_formula_hill": "Cu2Se" + "chemical_formula_descriptive": "Sn2Se", + "chemical_formula_hill": "SeSn2" }, "eln": { "names": [ - "Copper (II) Selenide" + "Tin (II) Selenide" ], "descriptions": [ - "<p><strong>Copper selenide</strong> is an inorganic binary compound consisting of copper and selenium. Its formula is sometimes described as <em>CuSe</em> or <em>Cu2Se</em>.</p>" + "<p><strong>Tin selenide</strong>, also known as stannous selenide, is an inorganic compound with the formula <em>SnSe</em>.</p>\n<p>Tin(II) Selenide is a crystalline solid used as a semiconductor and in photo optic applications. </p>" ], "sections": [ "Chemical" ], "lab_ids": [ - "0024" + "0023" ] }, "properties": { "available_properties": [] } }, - "entry_name": "Copper (II) Selenide", - "last_processing_time": "2022-12-19T08:36:37.621000+00:00", + "entry_name": "Tin (II) Selenide", + "last_processing_time": "2023-01-18T11:21:56.270000+00:00", "parser_name": "parsers/archive", "searchable_quantities": [ { - "text_value": "Copper (II) Selenide", + "text_value": "Tin (II) Selenide", "path": "data.name", "quantity_name": "name", "section_definition": "nomad.datamodel.metainfo.eln.ElnBaseSection" }, { - "text_value": "0024", + "text_value": "0023", "path": "data.lab_id", "quantity_name": "lab_id", "section_definition": "nomad.datamodel.metainfo.eln.ElnBaseSection" }, { - "text_value": "<p><strong>Copper selenide</strong> is an inorganic binary compound consisting of copper and selenium. Its formula is sometimes described as <em>CuSe</em> or <em>Cu2Se</em>.</p>", + "text_value": "<p><strong>Tin selenide</strong>, also known as stannous selenide, is an inorganic compound with the formula <em>SnSe</em>.</p>\n<p>Tin(II) Selenide is a crystalline solid used as a semiconductor and in photo optic applications. </p>", "path": "data.description", "quantity_name": "description", "section_definition": "nomad.datamodel.metainfo.eln.ElnBaseSection" }, { - "text_value": "Cu2Se", + "text_value": "Sn2Se", "path": "data.chemical_formula", "quantity_name": "chemical_formula", "section_definition": "nomad.datamodel.metainfo.eln.ElnWithFormulaBaseSection" @@ -92348,19 +91309,25 @@ "keyword_value": "crystalline solid" }, { - "text_value": "1317-41-5", + "text_value": "1315-06-6", "path": "data.cas_number", "quantity_name": "cas_number", "section_definition": "../uploads/eln_upload_id/archive/83DS7AzwqTKFVwlrdVeaL3kMSLU_#/definitions/section_definitions/0" }, { - "text_value": "215-272-8", + "text_value": "215-257-6", "path": "data.ec_number", "quantity_name": "ec_number", "section_definition": "../uploads/eln_upload_id/archive/83DS7AzwqTKFVwlrdVeaL3kMSLU_#/definitions/section_definitions/0" + }, + { + "path": "data.timestamp", + "date_value": "2023-01-18T13:21:56.353798+00:00", + "quantity_name": "timestamp", + "section_definition": "nomad.datamodel.metainfo.eln.ElnBaseSection" } ], - "calc_id": "mvOv85uBWGZG0RmoIOhgxho8yMK5", + "calc_id": "IDoCNIYzEGqZN-rPIeKzPl2b6poF", "published": false, "writers": [ { @@ -92383,7 +91350,7 @@ "nomad.datamodel.results.Results" ], "processed": true, - "mainfile": "Copper_II_Selenide.archive.json", + "mainfile": "Tin_II_Selenide.archive.json", "main_author": { "user_id": "68878af7-6845-46c0-b2c1-250d4d8eb470", "name": "Markus Scheidgen" @@ -92402,20 +91369,20 @@ "name": "Test Tester" } ], - "entry_create_time": "2022-12-19T08:36:36.564000+00:00", + "entry_create_time": "2023-01-18T11:21:55.722000+00:00", "with_embargo": false, "files": [ + "Tin_II_Selenide.archive.json", "Copper_II_Selenide.archive.json", "PVD-P.archive.json", "PVDProcess.csv", "README.md", - "Tin_II_Selenide.archive.json", "Zinc_Selenide.archive.json", "sample.archive.json", "schema.archive.yaml" ], "entry_type": "Chemical", - "entry_id": "mvOv85uBWGZG0RmoIOhgxho8yMK5", + "entry_id": "IDoCNIYzEGqZN-rPIeKzPl2b6poF", "authors": [ { "user_id": "68878af7-6845-46c0-b2c1-250d4d8eb470", @@ -92442,6 +91409,7 @@ "data.form", "data.lab_id", "data.name", + "data.timestamp", "metadata", "metadata.coauthors", "metadata.datasets", @@ -92494,14 +91462,14 @@ "results.properties.available_properties" ], "datasets": [], - 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"definition_id": "05c13125f04981c8560d309e4647e139cb7ede63", + "definition_id": "4bc96e9848adb949d2a9c249399895fabff7f1d0", "definition_qualified_name": "nomad.datamodel.metainfo.eln.ElnBaseSection" }, { "used_directly": false, - "definition_id": "05886ab2544dd913005d5844ee0aec737731e171", + "definition_id": "eeae659a282a6ed4e1f9885cf6f84aa4b623cd52", "definition_qualified_name": "nomad.datamodel.metainfo.eln.ElnWithFormulaBaseSection" }, { @@ -92561,7 +91529,7 @@ }, { "used_directly": true, - "definition_id": "1752078207d327d7d4b25f8ca831ca968da19479", + "definition_id": "8840348bb74559fc9efb985c3ff7785fa96a01a3", "definition_qualified_name": "nomad.datamodel.results.Results" } ], @@ -92569,58 +91537,58 @@ "results": { "material": { "elements": [ - "Sn", + "Zn", "Se" ], - "elements_exclusive": "Se Sn", + "elements_exclusive": "Se Zn", "structural_type": "not processed", - "chemical_formula_reduced": "Sn2Se", + "chemical_formula_reduced": "ZnSe", "n_elements": 2, - "chemical_formula_descriptive": "Sn2Se", - "chemical_formula_hill": "SeSn2" + "chemical_formula_descriptive": "ZnSe", + "chemical_formula_hill": "SeZn" }, "eln": { "names": [ - "Tin (II) Selenide" + "Zinc Selenide" ], "descriptions": [ - "<p><strong>Tin selenide</strong>, also known as stannous selenide, is an inorganic compound with the formula <em>SnSe</em>.</p>\n<p>Tin(II) Selenide is a crystalline solid used as a semiconductor and in photo optic applications. </p>" + "<p><strong>Zinc selenide</strong> (<em>ZnSe</em>) is a light-yellow, solid compound comprising zinc (<em>Zn</em>) and selenium (<em>Se</em>). It is an intrinsic semiconductor with a band gap of about 2.70 eV at 25 °C (77 °F).</p>" ], "sections": [ "Chemical" ], "lab_ids": [ - "0023" + "0025" ] }, "properties": { "available_properties": [] } }, - "entry_name": "Tin (II) Selenide", - "last_processing_time": "2022-12-19T08:36:37.631000+00:00", + "entry_name": "Zinc Selenide", + "last_processing_time": "2023-01-18T11:21:56.268000+00:00", "parser_name": "parsers/archive", "searchable_quantities": [ { - "text_value": "Tin (II) Selenide", + "text_value": "Zinc Selenide", "path": "data.name", "quantity_name": "name", "section_definition": "nomad.datamodel.metainfo.eln.ElnBaseSection" }, { - "text_value": "0023", + "text_value": "0025", "path": "data.lab_id", "quantity_name": "lab_id", "section_definition": "nomad.datamodel.metainfo.eln.ElnBaseSection" }, { - "text_value": "<p><strong>Tin selenide</strong>, also known as stannous selenide, is an inorganic compound with the formula <em>SnSe</em>.</p>\n<p>Tin(II) Selenide is a crystalline solid used as a semiconductor and in photo optic applications. </p>", + "text_value": "<p><strong>Zinc selenide</strong> (<em>ZnSe</em>) is a light-yellow, solid compound comprising zinc (<em>Zn</em>) and selenium (<em>Se</em>). It is an intrinsic semiconductor with a band gap of about 2.70 eV at 25 °C (77 °F).</p>", "path": "data.description", "quantity_name": "description", "section_definition": "nomad.datamodel.metainfo.eln.ElnBaseSection" }, { - "text_value": "Sn2Se", + "text_value": "ZnSe", "path": "data.chemical_formula", "quantity_name": "chemical_formula", "section_definition": "nomad.datamodel.metainfo.eln.ElnWithFormulaBaseSection" @@ -92629,22 +91597,28 @@ "path": "data.form", "quantity_name": "form", "section_definition": "../uploads/eln_upload_id/archive/83DS7AzwqTKFVwlrdVeaL3kMSLU_#/definitions/section_definitions/0", - "keyword_value": "crystalline solid" + "keyword_value": "powder" }, { - "text_value": "1315-06-6", + "text_value": "1315-09-9", "path": "data.cas_number", "quantity_name": "cas_number", "section_definition": "../uploads/eln_upload_id/archive/83DS7AzwqTKFVwlrdVeaL3kMSLU_#/definitions/section_definitions/0" }, { - "text_value": "215-257-6", + "text_value": "215-259-7", "path": "data.ec_number", "quantity_name": "ec_number", "section_definition": "../uploads/eln_upload_id/archive/83DS7AzwqTKFVwlrdVeaL3kMSLU_#/definitions/section_definitions/0" + }, + { + "path": "data.timestamp", + "date_value": "2023-01-18T13:21:56.386706+00:00", + "quantity_name": "timestamp", + "section_definition": "nomad.datamodel.metainfo.eln.ElnBaseSection" } ], - "calc_id": "IDoCNIYzEGqZN-rPIeKzPl2b6poF", + "calc_id": "HJjDrI3HRtHFW40uNbE8eHLiHKqs", "published": false, "writers": [ { @@ -92667,7 +91641,7 @@ "nomad.datamodel.results.Results" ], "processed": true, - "mainfile": "Tin_II_Selenide.archive.json", + "mainfile": "Zinc_Selenide.archive.json", "main_author": { "user_id": "68878af7-6845-46c0-b2c1-250d4d8eb470", "name": "Markus Scheidgen" @@ -92686,20 +91660,20 @@ "name": "Test Tester" } ], - "entry_create_time": "2022-12-19T08:36:36.682000+00:00", + "entry_create_time": "2023-01-18T11:21:55.738000+00:00", "with_embargo": false, "files": [ - "Tin_II_Selenide.archive.json", + "Zinc_Selenide.archive.json", "Copper_II_Selenide.archive.json", "PVD-P.archive.json", "PVDProcess.csv", "README.md", - "Zinc_Selenide.archive.json", + "Tin_II_Selenide.archive.json", "sample.archive.json", "schema.archive.yaml" ], "entry_type": "Chemical", - "entry_id": "IDoCNIYzEGqZN-rPIeKzPl2b6poF", + "entry_id": "HJjDrI3HRtHFW40uNbE8eHLiHKqs", "authors": [ { "user_id": "68878af7-6845-46c0-b2c1-250d4d8eb470", @@ -92719,13 +91693,10 @@ "quantities": [ "", "data", - "data.cas_number", - "data.chemical_formula", "data.description", - "data.ec_number", - "data.form", "data.lab_id", "data.name", + "data.timestamp", "metadata", "metadata.coauthors", "metadata.datasets", @@ -92766,27 +91737,23 @@ "results", "results.eln", "results.eln.descriptions", + "results.eln.instruments", "results.eln.lab_ids", "results.eln.names", "results.eln.sections", - "results.material", - "results.material.chemical_formula_descriptive", - "results.material.chemical_formula_hill", - "results.material.chemical_formula_reduced", - "results.material.elements", "results.properties", "results.properties.available_properties" ], "datasets": [], - "n_quantities": 52, - "nomad_version": "1.1.2.dev647+g9297338f3", - "upload_create_time": "2022-12-19T08:36:36.422000+00:00", + "n_quantities": 45, + "nomad_version": "1.1.2.dev717+g548f58be7.d20221222", + "upload_create_time": "2023-01-18T11:21:55.404000+00:00", "nomad_commit": "", "section_defs": [ { "used_directly": true, - "definition_id": "6bcb944e0c70b59b214498bf8310bcdc80832765", - "definition_qualified_name": "entry_id:83DS7AzwqTKFVwlrdVeaL3kMSLU_.Chemical" + "definition_id": "0e62188447400f10184f6594b639610a034e8268", + "definition_qualified_name": "entry_id:83DS7AzwqTKFVwlrdVeaL3kMSLU_.Instrument" }, { "used_directly": true, @@ -92800,7 +91767,7 @@ }, { "used_directly": true, - "definition_id": "1a9821c15d4ee2c92ebed46a981072f911f33e76", + "definition_id": "923fd8ffed25ac724d156dc4fa8696e7b778d6fb", "definition_qualified_name": "nomad.datamodel.datamodel.EntryArchive" }, { @@ -92813,31 +91780,21 @@ "definition_id": "265ae33dbc9ace82b50260c1050d30c59ef9cb3c", "definition_qualified_name": "nomad.datamodel.datamodel.RFC3161Timestamp" }, - { - "used_directly": true, - "definition_id": "db4c35aba78e8b2e0aedbfa5298ecbeda4c8af14", - "definition_qualified_name": "nomad.datamodel.metainfo.eln.Chemical" - }, { "used_directly": false, - "definition_id": "05c13125f04981c8560d309e4647e139cb7ede63", + "definition_id": "4bc96e9848adb949d2a9c249399895fabff7f1d0", "definition_qualified_name": "nomad.datamodel.metainfo.eln.ElnBaseSection" }, { - "used_directly": false, - "definition_id": "05886ab2544dd913005d5844ee0aec737731e171", - "definition_qualified_name": "nomad.datamodel.metainfo.eln.ElnWithFormulaBaseSection" + "used_directly": true, + "definition_id": "d898e59489078d6da6e3f164b3a680c9a1d9cea5", + "definition_qualified_name": "nomad.datamodel.metainfo.eln.Instrument" }, { "used_directly": true, "definition_id": "eeed330bd18d40f3a2a00cc35ba6f58808d0c543", "definition_qualified_name": "nomad.datamodel.results.ELN" }, - { - "used_directly": true, - "definition_id": "43920083339a4aa13c70d035cc502203940ada12", - "definition_qualified_name": "nomad.datamodel.results.Material" - }, { "used_directly": true, "definition_id": "084f877453597ae0c8287d3acc193c32020ab572", @@ -92845,90 +91802,63 @@ }, { "used_directly": true, - "definition_id": "1752078207d327d7d4b25f8ca831ca968da19479", + "definition_id": "8840348bb74559fc9efb985c3ff7785fa96a01a3", "definition_qualified_name": "nomad.datamodel.results.Results" } ], "processing_errors": [], "results": { - "material": { - "elements": [ - "Zn", - "Se" - ], - "elements_exclusive": "Se Zn", - "structural_type": "not processed", - "chemical_formula_reduced": "ZnSe", - "n_elements": 2, - "chemical_formula_descriptive": "ZnSe", - "chemical_formula_hill": "SeZn" - }, "eln": { "names": [ - "Zinc Selenide" + "PVD-P" + ], + "instruments": [ + "PVD-P" ], "descriptions": [ - "<p><strong>Zinc selenide</strong> (<em>ZnSe</em>) is a light-yellow, solid compound comprising zinc (<em>Zn</em>) and selenium (<em>Se</em>). It is an intrinsic semiconductor with a band gap of about 2.70 eV at 25 °C (77 °F).</p>" + "<p><img 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alt=\"PVD process\" width=\"500\" height=\"348\" /></p>" ], "sections": [ - "Chemical" + "Instrument" ], "lab_ids": [ - "0025" + "I-02" ] }, "properties": { "available_properties": [] } }, - "entry_name": "Zinc Selenide", - "last_processing_time": "2022-12-19T08:36:37.631000+00:00", + "entry_name": "PVD-P", + "last_processing_time": "2023-01-18T11:21:56.256000+00:00", "parser_name": "parsers/archive", "searchable_quantities": [ { - "text_value": "Zinc Selenide", + "text_value": "PVD-P", "path": "data.name", "quantity_name": "name", "section_definition": "nomad.datamodel.metainfo.eln.ElnBaseSection" }, { - "text_value": "0025", + "text_value": "I-02", "path": "data.lab_id", "quantity_name": "lab_id", "section_definition": "nomad.datamodel.metainfo.eln.ElnBaseSection" }, { - "text_value": "<p><strong>Zinc selenide</strong> (<em>ZnSe</em>) is a light-yellow, solid compound comprising zinc (<em>Zn</em>) and selenium (<em>Se</em>). It is an intrinsic semiconductor with a band gap of about 2.70 eV at 25 °C (77 °F).</p>", + "text_value": "<p><img 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"cookie": null } }, @@ -93723,16 +93892,16 @@ "processing_errors": "*" } }, - "entry_id": "Ah-tjm5zSi_pczZJZo-8cjESYGft", + "entry_id": "HJjDrI3HRtHFW40uNbE8eHLiHKqs", "data": { - "entry_id": "Ah-tjm5zSi_pczZJZo-8cjESYGft", + "entry_id": "HJjDrI3HRtHFW40uNbE8eHLiHKqs", "upload_id": "eln_upload_id", "parser_name": "parsers/archive", "archive": { "metadata": { "upload_id": "eln_upload_id", - "entry_id": "Ah-tjm5zSi_pczZJZo-8cjESYGft", - "mainfile": "PVD-P.archive.json", + "entry_id": "HJjDrI3HRtHFW40uNbE8eHLiHKqs", + "mainfile": "Zinc_Selenide.archive.json", "processing_errors": [] }, "m_ref_archives": {} @@ -93741,7 +93910,7 @@ }, "headers": { "connection": "close", - "content-length": "574", + "content-length": "582", "content-type": "application/json", "server": "uvicorn" } @@ -93762,7 +93931,7 @@ "headers": { "accept": "application/json", "content-type": "application/json", - "authorization": "Bearer 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+ "authorization": "Bearer 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"cookie": null } }, @@ -93777,9 +93946,9 @@ "last_status_message": "Pending: process_upload", "errors": [], "warnings": [], - "complete_time": "2022-12-19T08:36:40.554000", + "complete_time": "2023-01-18T11:21:59.760000", "upload_id": "eln_upload_id", - "upload_create_time": "2022-12-19T08:36:36.422000", + "upload_create_time": "2023-01-18T11:21:55.404000", "main_author": "68878af7-6845-46c0-b2c1-250d4d8eb470", "coauthors": [ "a03af8b6-3aa7-428a-b3b1-4a6317e576b6" @@ -93814,15 +93983,16 @@ } } ], - "d6dd778f9483d875a3f0063684c68be3": [ + "ef287956a8ee5059a10e5dec0aa4a358": [ { "request": { - "url": "http://localhost:8000/fairdi/nomad/latest/api/v1/uploads/eln_upload_id/raw/?file_name=sample.archive.json&wait_for_processing=true&entry_hash=CcET_ASxyul-r0csVVafDPmcpvtB", + "url": "http://localhost:8000/fairdi/nomad/latest/api/v1/uploads/eln_upload_id/raw/?file_name=sample.archive.json&wait_for_processing=true&entry_hash=XHZK3LbguZipoP3qkHXEkmobWKr8", "method": "PUT", "body": { "data": { "m_def": "../upload/raw/schema.archive.yaml#/definitions/section_definitions/3", "name": "ELN example sample", + "timestamp": "2023-01-18T13:21:59.402213+00:00", "lab_id": "001", "description": "<p>A simple example for an \"sample\" that demonstrates how to combine different data entities.</p>\n<p>The sample it-self defines a few properties (involved chemicals, used substrate) and uses inherited default properties (formula, name, lab id, ...)</p>\n<p>But the sample also contains sub-sections that prodivde inforamtion about proccessed that were applied to this sample (PVD evaporation, hotplate annealing). </p>\n<p>The sample also show references to other entries (chemicals, instruments).</p>\n<p> </p>", "tags": [ @@ -93836,7 +94006,7 @@ "substrate_type": "SLG", "processes": { "pvd_evaporation": { - "datetime": "2022-05-10T07:20:00+00:00", + "timestamp": "2023-01-18T13:21:59.401054+00:00", "instrument": "../upload/raw/PVD-P.archive.json#data", "data_file": "PVDProcess.csv", "time": [ @@ -122788,7 +122958,7 @@ ] }, "hotplate_annealing": { - "datetime": "2022-05-10T07:22:00+00:00", + "timestamp": "2023-01-18T13:21:59.401511+00:00", "set_temperature": 373.15, "duration": 60 } @@ -122800,7 +122970,7 @@ "headers": { "accept": "application/json", "content-type": "application/json", - "authorization": "Bearer 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"cookie": null } }, diff --git a/gui/tests/data/entry/eln-reviewer.json b/gui/tests/data/entry/eln-reviewer.json index 93e5a6819ac9260596d63af39d27921ec5c4a121..afd09bfb9fd77afbdd66453bf15eac915f7427ef 100644 --- a/gui/tests/data/entry/eln-reviewer.json +++ b/gui/tests/data/entry/eln-reviewer.json @@ -7,7 +7,7 @@ "body": "", "headers": { "accept": "application/json", - "authorization": "Bearer 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"cookie": null } }, @@ -29,18 +29,19 @@ "data.name", "data.processes", "data.processes.hotplate_annealing", - "data.processes.hotplate_annealing.datetime", "data.processes.hotplate_annealing.duration", "data.processes.hotplate_annealing.set_temperature", + "data.processes.hotplate_annealing.timestamp", "data.processes.pvd_evaporation", "data.processes.pvd_evaporation.chamber_pressure", "data.processes.pvd_evaporation.data_file", - "data.processes.pvd_evaporation.datetime", "data.processes.pvd_evaporation.instrument", "data.processes.pvd_evaporation.substrate_temperature", "data.processes.pvd_evaporation.time", + "data.processes.pvd_evaporation.timestamp", "data.substrate_type", "data.tags", + "data.timestamp", "metadata", "metadata.coauthors", "metadata.datasets", @@ -98,34 +99,34 @@ "results.properties.available_properties" ], "datasets": [], - "n_quantities": 60, - "nomad_version": "1.1.2.dev647+g9297338f3", - "upload_create_time": "2022-12-19T08:34:17.415000+00:00", + "n_quantities": 61, + "nomad_version": "1.1.2.dev717+g548f58be7.d20221222", + "upload_create_time": "2023-01-18T11:19:44.535000+00:00", "nomad_commit": "", "section_defs": [ { "used_directly": true, - "definition_id": "b729e4f513a17b6142767e5535beba91708c13bc", + "definition_id": "b1015a197cd459e4c6fa7fb3797e61fb5ae2f698", "definition_qualified_name": "entry_id:83DS7AzwqTKFVwlrdVeaL3kMSLU_.Process" }, { "used_directly": true, - "definition_id": "f3e96e7b60388fa6821dc2b45804aaaaef2c74aa", + "definition_id": "463190d96dbfc15e155003987c38e90a33f23699", "definition_qualified_name": "entry_id:83DS7AzwqTKFVwlrdVeaL3kMSLU_.Sample" }, { "used_directly": true, - "definition_id": "4f78f22cb32c9134ab4886289892c86d4c535d4e", + "definition_id": "9dbb9129992e8465899fa590f080cd2372b25263", "definition_qualified_name": "entry_id:83DS7AzwqTKFVwlrdVeaL3kMSLU_.Sample.Processes" }, { "used_directly": true, - "definition_id": "5dc1199d73fb589c01643a663f0381456baaa08d", + "definition_id": "1d4d27e0a85c6d427d5a508b3db8f42fc74e336e", "definition_qualified_name": "entry_id:83DS7AzwqTKFVwlrdVeaL3kMSLU_.Sample.Processes.HotplateAnnealing" }, { "used_directly": true, - "definition_id": "cf78db6a0eb9b133f780f36e6cbcc2066fa5aa01", + "definition_id": "2bccc77a670e159b0043329260c5b76c79f6d307", "definition_qualified_name": "entry_id:83DS7AzwqTKFVwlrdVeaL3kMSLU_.Sample.Processes.PvdEvaporation" }, { @@ -140,7 +141,7 @@ }, { "used_directly": true, - "definition_id": "1a9821c15d4ee2c92ebed46a981072f911f33e76", + "definition_id": "923fd8ffed25ac724d156dc4fa8696e7b778d6fb", "definition_qualified_name": "nomad.datamodel.datamodel.EntryArchive" }, { @@ -160,27 +161,27 @@ }, { "used_directly": false, - "definition_id": "452515af5cb7bc8c1d20f9701eca186369f612a1", - "definition_qualified_name": "nomad.datamodel.metainfo.eln.ElnActivityBaseSection" + "definition_id": "f206c717608ebd896849c324c5b3387a997670d9", + "definition_qualified_name": "nomad.datamodel.metainfo.eln.Activity" }, { "used_directly": false, - "definition_id": "05c13125f04981c8560d309e4647e139cb7ede63", + "definition_id": "4bc96e9848adb949d2a9c249399895fabff7f1d0", "definition_qualified_name": "nomad.datamodel.metainfo.eln.ElnBaseSection" }, { "used_directly": false, - "definition_id": "05886ab2544dd913005d5844ee0aec737731e171", + "definition_id": "eeae659a282a6ed4e1f9885cf6f84aa4b623cd52", "definition_qualified_name": "nomad.datamodel.metainfo.eln.ElnWithFormulaBaseSection" }, { "used_directly": false, - "definition_id": "3772fa53cde966eadb55808e99d9e420d40c16b7", + "definition_id": "37ff57223b98a7ea31463a54036e739a03e4a2ed", "definition_qualified_name": "nomad.datamodel.metainfo.eln.Process" }, { "used_directly": true, - "definition_id": "b071aea15c2f8d132e5a562355d110591e3d0de4", + "definition_id": "2fe7f36c48040045590d8ede8eb61c7d6bc759ac", "definition_qualified_name": "nomad.datamodel.metainfo.eln.Sample" }, { @@ -195,7 +196,7 @@ }, { "used_directly": true, - "definition_id": 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"section_definition": "../uploads/eln_upload_id/archive/83DS7AzwqTKFVwlrdVeaL3kMSLU_#/definitions/section_definitions/3/inner_section_definitions/0/inner_section_definitions/1", + "double_value": 60 + }, + { + "path": "data.processes.hotplate_annealing.timestamp", + "date_value": "2023-01-18T13:19:48.823719+00:00", + "quantity_name": "timestamp", + "section_definition": "nomad.datamodel.metainfo.eln.ElnBaseSection" + }, + { + "path": "data.timestamp", + "date_value": "2023-01-18T13:19:48.824419+00:00", + "quantity_name": "timestamp", + "section_definition": "nomad.datamodel.metainfo.eln.ElnBaseSection" } ], "calc_id": "bC7byHvWJp62Sn9uiuJUB38MT5j-", @@ -325,7 +344,7 @@ "name": "Test Tester" } ], - "entry_create_time": "2022-12-19T08:34:17.759000+00:00", + "entry_create_time": "2023-01-18T11:19:44.860000+00:00", "with_embargo": false, "files": [ "sample.archive.json", @@ -392,7 +411,7 @@ }, "headers": { "connection": "close", - "content-length": "14506", + "content-length": "15431", 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-30274,17 +30321,17 @@ }, { "used_directly": true, - "definition_id": "db4c35aba78e8b2e0aedbfa5298ecbeda4c8af14", + "definition_id": "e07ec2c24592dbdc12ba728003e8d0e74ef6171f", "definition_qualified_name": "nomad.datamodel.metainfo.eln.Chemical" }, { "used_directly": false, - "definition_id": "05c13125f04981c8560d309e4647e139cb7ede63", + "definition_id": "4bc96e9848adb949d2a9c249399895fabff7f1d0", "definition_qualified_name": "nomad.datamodel.metainfo.eln.ElnBaseSection" }, { "used_directly": false, - "definition_id": "05886ab2544dd913005d5844ee0aec737731e171", + "definition_id": "eeae659a282a6ed4e1f9885cf6f84aa4b623cd52", "definition_qualified_name": "nomad.datamodel.metainfo.eln.ElnWithFormulaBaseSection" }, { @@ -30304,7 +30351,7 @@ }, { "used_directly": true, - "definition_id": "1752078207d327d7d4b25f8ca831ca968da19479", + "definition_id": "8840348bb74559fc9efb985c3ff7785fa96a01a3", "definition_qualified_name": "nomad.datamodel.results.Results" } ], @@ -30341,7 +30388,7 @@ } }, "entry_name": "Tin (II) Selenide", - "last_processing_time": "2022-12-19T08:34:18.226000+00:00", + "last_processing_time": "2023-01-18T11:19:45.783000+00:00", "parser_name": "parsers/archive", "searchable_quantities": [ { @@ -30385,6 +30432,12 @@ "path": "data.ec_number", "quantity_name": "ec_number", "section_definition": "../uploads/eln_upload_id/archive/83DS7AzwqTKFVwlrdVeaL3kMSLU_#/definitions/section_definitions/0" + }, + { + "path": "data.timestamp", + "date_value": "2023-01-18T13:19:45.911193+00:00", + "quantity_name": "timestamp", + "section_definition": "nomad.datamodel.metainfo.eln.ElnBaseSection" } ], "calc_id": "IDoCNIYzEGqZN-rPIeKzPl2b6poF", @@ -30429,7 +30482,7 @@ "name": "Test Tester" } ], - "entry_create_time": "2022-12-19T08:34:17.724000+00:00", + "entry_create_time": "2023-01-18T11:19:44.829000+00:00", "with_embargo": false, "files": [ "Tin_II_Selenide.archive.json", @@ -30469,6 +30522,7 @@ "data.form", "data.lab_id", "data.name", + "data.timestamp", "metadata", "metadata.coauthors", "metadata.datasets", @@ -30521,14 +30575,14 @@ "results.properties.available_properties" ], "datasets": [], - "n_quantities": 52, - "nomad_version": "1.1.2.dev647+g9297338f3", - "upload_create_time": "2022-12-19T08:34:17.415000+00:00", + "n_quantities": 53, + "nomad_version": "1.1.2.dev717+g548f58be7.d20221222", + "upload_create_time": "2023-01-18T11:19:44.535000+00:00", "nomad_commit": "", "section_defs": [ { "used_directly": true, - "definition_id": "6bcb944e0c70b59b214498bf8310bcdc80832765", + "definition_id": "85d9d467f38fcacd8e6c7a2908f778fc23d02efe", "definition_qualified_name": "entry_id:83DS7AzwqTKFVwlrdVeaL3kMSLU_.Chemical" }, { @@ -30543,7 +30597,7 @@ }, { "used_directly": true, - "definition_id": "1a9821c15d4ee2c92ebed46a981072f911f33e76", + "definition_id": "923fd8ffed25ac724d156dc4fa8696e7b778d6fb", "definition_qualified_name": "nomad.datamodel.datamodel.EntryArchive" }, { @@ -30558,17 +30612,17 @@ }, { "used_directly": true, - "definition_id": "db4c35aba78e8b2e0aedbfa5298ecbeda4c8af14", + "definition_id": "e07ec2c24592dbdc12ba728003e8d0e74ef6171f", "definition_qualified_name": "nomad.datamodel.metainfo.eln.Chemical" }, { "used_directly": false, - "definition_id": "05c13125f04981c8560d309e4647e139cb7ede63", + "definition_id": "4bc96e9848adb949d2a9c249399895fabff7f1d0", "definition_qualified_name": "nomad.datamodel.metainfo.eln.ElnBaseSection" }, { "used_directly": false, - "definition_id": "05886ab2544dd913005d5844ee0aec737731e171", + "definition_id": "eeae659a282a6ed4e1f9885cf6f84aa4b623cd52", "definition_qualified_name": "nomad.datamodel.metainfo.eln.ElnWithFormulaBaseSection" }, { @@ -30588,7 +30642,7 @@ }, { "used_directly": true, - "definition_id": "1752078207d327d7d4b25f8ca831ca968da19479", + "definition_id": "8840348bb74559fc9efb985c3ff7785fa96a01a3", "definition_qualified_name": "nomad.datamodel.results.Results" } ], @@ -30625,7 +30679,7 @@ } }, "entry_name": "Zinc Selenide", - "last_processing_time": "2022-12-19T08:34:18.217000+00:00", + "last_processing_time": "2023-01-18T11:19:45.790000+00:00", "parser_name": "parsers/archive", "searchable_quantities": [ { @@ -30669,6 +30723,12 @@ "path": "data.ec_number", "quantity_name": "ec_number", "section_definition": "../uploads/eln_upload_id/archive/83DS7AzwqTKFVwlrdVeaL3kMSLU_#/definitions/section_definitions/0" + }, + { + "path": "data.timestamp", + "date_value": "2023-01-18T13:19:45.921744+00:00", + "quantity_name": "timestamp", + "section_definition": "nomad.datamodel.metainfo.eln.ElnBaseSection" } ], "calc_id": "HJjDrI3HRtHFW40uNbE8eHLiHKqs", @@ -30713,7 +30773,7 @@ "name": "Test Tester" } ], - "entry_create_time": "2022-12-19T08:34:17.740000+00:00", + "entry_create_time": "2023-01-18T11:19:44.844000+00:00", "with_embargo": false, "files": [ "Zinc_Selenide.archive.json", @@ -30749,6 +30809,7 @@ "data.description", "data.lab_id", "data.name", + "data.timestamp", "metadata", "metadata.coauthors", "metadata.datasets", @@ -30797,14 +30858,14 @@ "results.properties.available_properties" ], "datasets": [], - "n_quantities": 44, - "nomad_version": "1.1.2.dev647+g9297338f3", - "upload_create_time": "2022-12-19T08:34:17.415000+00:00", + "n_quantities": 45, + "nomad_version": "1.1.2.dev717+g548f58be7.d20221222", + "upload_create_time": "2023-01-18T11:19:44.535000+00:00", "nomad_commit": "", "section_defs": [ { "used_directly": true, - "definition_id": "8d554da4e84d4f0e96fbcc657220919a701248a0", + "definition_id": "0e62188447400f10184f6594b639610a034e8268", "definition_qualified_name": "entry_id:83DS7AzwqTKFVwlrdVeaL3kMSLU_.Instrument" }, { @@ -30819,7 +30880,7 @@ }, { "used_directly": true, - "definition_id": "1a9821c15d4ee2c92ebed46a981072f911f33e76", + "definition_id": "923fd8ffed25ac724d156dc4fa8696e7b778d6fb", "definition_qualified_name": "nomad.datamodel.datamodel.EntryArchive" }, { @@ -30834,12 +30895,12 @@ }, { "used_directly": false, - "definition_id": "05c13125f04981c8560d309e4647e139cb7ede63", + "definition_id": "4bc96e9848adb949d2a9c249399895fabff7f1d0", "definition_qualified_name": "nomad.datamodel.metainfo.eln.ElnBaseSection" }, { "used_directly": true, - "definition_id": "95422d8c57c1ebc2bcf9484f86b980fd38335d3a", + "definition_id": "d898e59489078d6da6e3f164b3a680c9a1d9cea5", "definition_qualified_name": "nomad.datamodel.metainfo.eln.Instrument" }, { @@ -30854,7 +30915,7 @@ }, { "used_directly": true, - "definition_id": "1752078207d327d7d4b25f8ca831ca968da19479", + "definition_id": "8840348bb74559fc9efb985c3ff7785fa96a01a3", "definition_qualified_name": "nomad.datamodel.results.Results" } ], @@ -30882,7 +30943,7 @@ } }, "entry_name": "PVD-P", - "last_processing_time": "2022-12-19T08:34:18.186000+00:00", + "last_processing_time": "2023-01-18T11:19:45.783000+00:00", "parser_name": "parsers/archive", "searchable_quantities": [ { @@ -30902,6 +30963,12 @@ "path": "data.description", "quantity_name": "description", "section_definition": "nomad.datamodel.metainfo.eln.ElnBaseSection" + }, + { + "path": "data.timestamp", + "date_value": "2023-01-18T13:19:45.879868+00:00", + "quantity_name": "timestamp", + "section_definition": "nomad.datamodel.metainfo.eln.ElnBaseSection" } ], "calc_id": "Ah-tjm5zSi_pczZJZo-8cjESYGft", @@ -30945,7 +31012,7 @@ "name": "Test Tester" } ], - "entry_create_time": "2022-12-19T08:34:17.691000+00:00", + "entry_create_time": "2023-01-18T11:19:44.791000+00:00", "with_embargo": false, "files": [ "PVD-P.archive.json", @@ -30975,7 +31042,7 @@ }, "headers": { "connection": "close", - "content-length": "122569", + "content-length": "123653", "content-type": "application/json", "server": "uvicorn" } @@ -30997,7 +31064,7 @@ "headers": { "accept": "application/json", "content-type": "application/json", - "authorization": "Bearer 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+ "authorization": "Bearer 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"cookie": null } }, @@ -31308,18 +31375,17 @@ "m_annotations": { "eln": [ { - "overview": true, "hide": [ "name", "lab_id", "description", "method" - ] + ], + "overview": true } ], "plot": [ { - "title": "Pressure and Temperature over Time", "x": "time", "y": [ "chamber_pressure", @@ -31341,8 +31407,8 @@ "m_annotations": { "tabular_parser": [ { - "sep": "\\t", - "comment": "#" + "comment": "#", + "sep": "\\t" } ], "browser": [ @@ -31448,12 +31514,12 @@ "m_annotations": { "eln": [ { - "overview": true, "hide": [ "name", "lab_id", "description" - ] + ], + "overview": true } ] }, @@ -31469,8 +31535,7 @@ "m_annotations": { "eln": [ { - "component": "NumberEditQuantity", - "minValue": 0 + "component": "NumberEditQuantity" } ] }, @@ -31509,12 +31574,12 @@ }, "metadata": { "upload_id": "eln_upload_id", - "upload_create_time": "2022-12-19T08:34:17.415000+00:00", + "upload_create_time": "2023-01-18T11:19:44.535000+00:00", "entry_id": "83DS7AzwqTKFVwlrdVeaL3kMSLU_", "entry_name": "Electronic Lab 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", "tsa_server": "http://time.certum.pl/", - "timestamp": "2022-12-19T08:34:18+00:00" + "timestamp": "2023-01-18T11:19:45+00:00" }, "section_defs": [ { @@ -31653,7 +31718,7 @@ }, { "definition_qualified_name": "nomad.datamodel.datamodel.EntryArchive", - "definition_id": "1a9821c15d4ee2c92ebed46a981072f911f33e76", + "definition_id": "923fd8ffed25ac724d156dc4fa8696e7b778d6fb", "used_directly": true }, { @@ -31673,7 +31738,7 @@ }, { "definition_qualified_name": "nomad.datamodel.results.Results", - "definition_id": "1752078207d327d7d4b25f8ca831ca968da19479", + "definition_id": "8840348bb74559fc9efb985c3ff7785fa96a01a3", "used_directly": true }, { @@ -31714,7 +31779,7 @@ }, "headers": { "connection": "close", - "content-length": "35403", + "content-length": "35295", "content-type": "application/json", "server": "uvicorn" } diff --git a/gui/tests/data/entry/material_card.json b/gui/tests/data/entry/material_card.json index 331d9b0708790d765ad236055e19413d7d6afe0c..595386195cbfc9a7a472b1a22d60d06e8f6e5d77 100644 --- a/gui/tests/data/entry/material_card.json +++ b/gui/tests/data/entry/material_card.json @@ -24,9 +24,9 @@ "datasets": [], "n_quantities": 0, "nomad_version": "0.10.0", - "upload_create_time": "2022-12-19T09:28:27.232825+00:00", + "upload_create_time": "2023-01-18T11:16:40.468058+00:00", "nomad_commit": "bf3c06fa", - "publish_time": "2022-12-19T09:28:27.235825+00:00", + "publish_time": "2023-01-18T11:16:40.471058+00:00", "results": { "material": { "symmetry": { @@ -73,7 +73,7 @@ "name": "Markus Scheidgen" } ], - "entry_create_time": "2022-12-19T09:28:27.236825+00:00", + "entry_create_time": "2023-01-18T11:16:40.472058+00:00", "with_embargo": false, "domain": "dft", "comment": "Mocked", @@ -119,9 +119,9 @@ "datasets": [], "n_quantities": 0, "nomad_version": "0.10.0", - "upload_create_time": "2022-12-19T09:28:27.232825+00:00", + "upload_create_time": "2023-01-18T11:16:40.468058+00:00", "nomad_commit": "bf3c06fa", - "publish_time": "2022-12-19T09:28:27.235825+00:00", + "publish_time": "2023-01-18T11:16:40.471058+00:00", "results": { "material": { "symmetry": { @@ -168,7 +168,7 @@ "name": "Markus Scheidgen" } ], - "entry_create_time": "2022-12-19T09:28:27.236825+00:00", + "entry_create_time": "2023-01-18T11:16:40.472058+00:00", "with_embargo": false, "domain": "dft", "comment": "Mocked", @@ -261,14 +261,14 @@ "archive": { "metadata": { "upload_id": "dft_upload", - "upload_create_time": "2022-12-19T09:28:27.232825+00:00", + "upload_create_time": "2023-01-18T11:16:40.468058+00:00", "entry_id": "dft_bulk", "entry_hash": "dummy_hash_dft_bulk", - "entry_create_time": "2022-12-19T09:28:27.236825+00:00", + "entry_create_time": "2023-01-18T11:16:40.472058+00:00", "parser_name": "parsers/vasp", "mainfile": "vasp.xml", "published": true, - "publish_time": "2022-12-19T09:28:27.235825+00:00", + "publish_time": "2023-01-18T11:16:40.471058+00:00", "with_embargo": false, "embargo_length": 0, "license": "CC BY 4.0", @@ -386,14 +386,14 @@ "archive": { "metadata": { "upload_id": "dft_upload", - "upload_create_time": "2022-12-19T09:28:27.232825+00:00", + "upload_create_time": "2023-01-18T11:16:40.468058+00:00", "entry_id": "dft_bulk", "entry_hash": "dummy_hash_dft_bulk", - "entry_create_time": "2022-12-19T09:28:27.236825+00:00", + "entry_create_time": "2023-01-18T11:16:40.472058+00:00", "parser_name": "parsers/vasp", "mainfile": "vasp.xml", "published": true, - "publish_time": "2022-12-19T09:28:27.235825+00:00", + "publish_time": "2023-01-18T11:16:40.471058+00:00", "with_embargo": false, "embargo_length": 0, "license": "CC BY 4.0", diff --git a/gui/tests/data/entry/mechanical_card.json b/gui/tests/data/entry/mechanical_card.json index 90348cf29251e5d953d0b8696a227156ae3a4774..f67be74cde6866e72090550598184a5493eec991 100644 --- a/gui/tests/data/entry/mechanical_card.json +++ b/gui/tests/data/entry/mechanical_card.json @@ -24,9 +24,9 @@ "datasets": [], "n_quantities": 0, "nomad_version": "0.10.0", - "upload_create_time": "2022-12-19T09:29:13.282595+00:00", + "upload_create_time": "2023-01-18T11:17:29.164477+00:00", "nomad_commit": "bf3c06fa", - "publish_time": "2022-12-19T09:29:13.285595+00:00", + "publish_time": "2023-01-18T11:17:29.167477+00:00", "results": { "material": { "symmetry": { @@ -86,7 +86,7 @@ "name": "Markus Scheidgen" } ], - "entry_create_time": "2022-12-19T09:29:13.286595+00:00", + "entry_create_time": "2023-01-18T11:17:29.168477+00:00", "with_embargo": false, "domain": "dft", "comment": "Mocked", @@ -132,9 +132,9 @@ "datasets": [], "n_quantities": 0, "nomad_version": "0.10.0", - "upload_create_time": "2022-12-19T09:29:13.282595+00:00", + "upload_create_time": "2023-01-18T11:17:29.164477+00:00", "nomad_commit": "bf3c06fa", - "publish_time": "2022-12-19T09:29:13.285595+00:00", + "publish_time": "2023-01-18T11:17:29.167477+00:00", "results": { "material": { "symmetry": { @@ -194,7 +194,7 @@ "name": "Markus Scheidgen" } ], - "entry_create_time": "2022-12-19T09:29:13.286595+00:00", + "entry_create_time": "2023-01-18T11:17:29.168477+00:00", "with_embargo": false, "domain": "dft", "comment": "Mocked", @@ -287,14 +287,14 @@ "archive": { "metadata": { "upload_id": "dft_upload", - "upload_create_time": "2022-12-19T09:29:13.282595+00:00", + "upload_create_time": "2023-01-18T11:17:29.164477+00:00", "entry_id": "dft_bulk", "entry_hash": "dummy_hash_dft_bulk", - "entry_create_time": "2022-12-19T09:29:13.286595+00:00", + "entry_create_time": "2023-01-18T11:17:29.168477+00:00", "parser_name": "parsers/vasp", "mainfile": "vasp.xml", "published": true, - "publish_time": "2022-12-19T09:29:13.285595+00:00", + "publish_time": "2023-01-18T11:17:29.167477+00:00", "with_embargo": false, "embargo_length": 0, "license": "CC BY 4.0", @@ -422,14 +422,14 @@ "archive": { "metadata": { "upload_id": "dft_upload", - "upload_create_time": "2022-12-19T09:29:13.282595+00:00", + "upload_create_time": "2023-01-18T11:17:29.164477+00:00", "entry_id": "dft_bulk", "entry_hash": "dummy_hash_dft_bulk", - "entry_create_time": "2022-12-19T09:29:13.286595+00:00", + "entry_create_time": "2023-01-18T11:17:29.168477+00:00", "parser_name": "parsers/vasp", "mainfile": "vasp.xml", "published": true, - "publish_time": "2022-12-19T09:29:13.285595+00:00", + "publish_time": "2023-01-18T11:17:29.167477+00:00", "with_embargo": false, "embargo_length": 0, "license": "CC BY 4.0", diff --git a/gui/tests/data/entry/structural_card.json b/gui/tests/data/entry/structural_card.json index cbc45bbf732539968350a8653c4e9feb4a423cc4..29132e0fe7507f533191ed9109b8b58953764354 100644 --- a/gui/tests/data/entry/structural_card.json +++ b/gui/tests/data/entry/structural_card.json @@ -24,9 +24,9 @@ "datasets": [], "n_quantities": 0, "nomad_version": "0.10.0", - "upload_create_time": "2022-12-19T09:30:19.517415+00:00", + "upload_create_time": "2023-01-18T11:18:39.210904+00:00", "nomad_commit": "bf3c06fa", - "publish_time": "2022-12-19T09:30:19.520415+00:00", + "publish_time": "2023-01-18T11:18:39.213904+00:00", "results": { "material": { "symmetry": { @@ -92,7 +92,7 @@ "name": "Markus Scheidgen" } ], - "entry_create_time": "2022-12-19T09:30:19.521415+00:00", + "entry_create_time": "2023-01-18T11:18:39.214904+00:00", "with_embargo": false, "domain": "dft", "comment": "Mocked", @@ -138,9 +138,9 @@ "datasets": [], "n_quantities": 0, "nomad_version": "0.10.0", - "upload_create_time": "2022-12-19T09:30:19.517415+00:00", + "upload_create_time": "2023-01-18T11:18:39.210904+00:00", "nomad_commit": "bf3c06fa", - "publish_time": "2022-12-19T09:30:19.520415+00:00", + "publish_time": "2023-01-18T11:18:39.213904+00:00", "results": { "material": { "symmetry": { @@ -206,7 +206,7 @@ "name": "Markus Scheidgen" } ], - "entry_create_time": "2022-12-19T09:30:19.521415+00:00", + "entry_create_time": "2023-01-18T11:18:39.214904+00:00", "with_embargo": false, "domain": "dft", "comment": "Mocked", @@ -299,14 +299,14 @@ "archive": { "metadata": { "upload_id": "dft_upload", - "upload_create_time": "2022-12-19T09:30:19.517415+00:00", + "upload_create_time": "2023-01-18T11:18:39.210904+00:00", "entry_id": "dft_bulk", "entry_hash": "dummy_hash_dft_bulk", - "entry_create_time": "2022-12-19T09:30:19.521415+00:00", + "entry_create_time": "2023-01-18T11:18:39.214904+00:00", "parser_name": "parsers/vasp", "mainfile": "vasp.xml", "published": true, - "publish_time": "2022-12-19T09:30:19.520415+00:00", + "publish_time": "2023-01-18T11:18:39.213904+00:00", "with_embargo": false, "embargo_length": 0, "license": "CC BY 4.0", @@ -449,14 +449,14 @@ "archive": { "metadata": { "upload_id": "dft_upload", - "upload_create_time": "2022-12-19T09:30:19.517415+00:00", + "upload_create_time": "2023-01-18T11:18:39.210904+00:00", "entry_id": "dft_bulk", "entry_hash": "dummy_hash_dft_bulk", - "entry_create_time": "2022-12-19T09:30:19.521415+00:00", + "entry_create_time": "2023-01-18T11:18:39.214904+00:00", "parser_name": "parsers/vasp", "mainfile": "vasp.xml", "published": true, - "publish_time": "2022-12-19T09:30:19.520415+00:00", + "publish_time": "2023-01-18T11:18:39.213904+00:00", "with_embargo": false, "embargo_length": 0, "license": "CC BY 4.0", diff --git a/gui/tests/data/entry/thermodynamic_card.json b/gui/tests/data/entry/thermodynamic_card.json index 2586fa53291c465fd7915db452636e6f476f21fa..cc77d31fa059da2627d52b5d158c6563d30643fe 100644 --- a/gui/tests/data/entry/thermodynamic_card.json +++ b/gui/tests/data/entry/thermodynamic_card.json @@ -24,9 +24,9 @@ "datasets": [], "n_quantities": 0, "nomad_version": "0.10.0", - "upload_create_time": "2022-12-19T09:29:35.594933+00:00", + "upload_create_time": "2023-01-18T11:17:52.049577+00:00", "nomad_commit": "bf3c06fa", - "publish_time": "2022-12-19T09:29:35.597933+00:00", + "publish_time": "2023-01-18T11:17:52.052577+00:00", "results": { "material": { "symmetry": { @@ -95,7 +95,7 @@ "name": "Markus Scheidgen" } ], - "entry_create_time": "2022-12-19T09:29:35.598933+00:00", + "entry_create_time": "2023-01-18T11:17:52.053577+00:00", "with_embargo": false, "domain": "dft", "comment": "Mocked", @@ -141,9 +141,9 @@ "datasets": [], "n_quantities": 0, "nomad_version": "0.10.0", - "upload_create_time": "2022-12-19T09:29:35.594933+00:00", + "upload_create_time": "2023-01-18T11:17:52.049577+00:00", "nomad_commit": "bf3c06fa", - "publish_time": "2022-12-19T09:29:35.597933+00:00", + "publish_time": "2023-01-18T11:17:52.052577+00:00", "results": { "material": { "symmetry": { @@ -212,7 +212,7 @@ "name": "Markus Scheidgen" } ], - "entry_create_time": "2022-12-19T09:29:35.598933+00:00", + "entry_create_time": "2023-01-18T11:17:52.053577+00:00", "with_embargo": false, "domain": "dft", "comment": "Mocked", @@ -305,14 +305,14 @@ "archive": { "metadata": { "upload_id": "dft_upload", - "upload_create_time": "2022-12-19T09:29:35.594933+00:00", + "upload_create_time": "2023-01-18T11:17:52.049577+00:00", "entry_id": "dft_bulk", "entry_hash": "dummy_hash_dft_bulk", - "entry_create_time": "2022-12-19T09:29:35.598933+00:00", + "entry_create_time": "2023-01-18T11:17:52.053577+00:00", "parser_name": "parsers/vasp", "mainfile": "vasp.xml", "published": true, - "publish_time": "2022-12-19T09:29:35.597933+00:00", + "publish_time": "2023-01-18T11:17:52.052577+00:00", "with_embargo": false, "embargo_length": 0, "license": "CC BY 4.0", @@ -473,14 +473,14 @@ "archive": { "metadata": { "upload_id": "dft_upload", - "upload_create_time": "2022-12-19T09:29:35.594933+00:00", + "upload_create_time": "2023-01-18T11:17:52.049577+00:00", "entry_id": "dft_bulk", "entry_hash": "dummy_hash_dft_bulk", - "entry_create_time": "2022-12-19T09:29:35.598933+00:00", + "entry_create_time": "2023-01-18T11:17:52.053577+00:00", "parser_name": "parsers/vasp", "mainfile": "vasp.xml", "published": true, - "publish_time": "2022-12-19T09:29:35.597933+00:00", + "publish_time": "2023-01-18T11:17:52.052577+00:00", "with_embargo": false, "embargo_length": 0, "license": "CC BY 4.0", diff --git a/gui/tests/data/entry/vibrational_card.json b/gui/tests/data/entry/vibrational_card.json index 7b85f9bb1fb7f5ab1fa5832e034aba637fc0a233..ac610c65f820b7b525501677680f502d5f521c20 100644 --- a/gui/tests/data/entry/vibrational_card.json +++ b/gui/tests/data/entry/vibrational_card.json @@ -24,9 +24,9 @@ "datasets": [], "n_quantities": 0, "nomad_version": "0.10.0", - "upload_create_time": "2022-12-19T09:29:58.337314+00:00", + "upload_create_time": "2023-01-18T11:18:15.244684+00:00", "nomad_commit": "bf3c06fa", - "publish_time": "2022-12-19T09:29:58.340314+00:00", + "publish_time": "2023-01-18T11:18:15.247684+00:00", "results": { "material": { "symmetry": { @@ -78,7 +78,7 @@ "name": "Markus Scheidgen" } ], - "entry_create_time": "2022-12-19T09:29:58.341314+00:00", + "entry_create_time": "2023-01-18T11:18:15.248684+00:00", "with_embargo": false, "domain": "dft", "comment": "Mocked", @@ -124,9 +124,9 @@ "datasets": [], "n_quantities": 0, "nomad_version": "0.10.0", - "upload_create_time": "2022-12-19T09:29:58.337314+00:00", + "upload_create_time": "2023-01-18T11:18:15.244684+00:00", "nomad_commit": "bf3c06fa", - "publish_time": "2022-12-19T09:29:58.340314+00:00", + "publish_time": "2023-01-18T11:18:15.247684+00:00", "results": { "material": { "symmetry": { @@ -178,7 +178,7 @@ "name": "Markus Scheidgen" } ], - "entry_create_time": "2022-12-19T09:29:58.341314+00:00", + "entry_create_time": "2023-01-18T11:18:15.248684+00:00", "with_embargo": false, "domain": "dft", "comment": "Mocked", @@ -296,14 +296,14 @@ ], "metadata": { "upload_id": "dft_upload", - "upload_create_time": "2022-12-19T09:29:58.337314+00:00", + "upload_create_time": "2023-01-18T11:18:15.244684+00:00", "entry_id": "dft_bulk", "entry_hash": "dummy_hash_dft_bulk", - "entry_create_time": "2022-12-19T09:29:58.341314+00:00", + "entry_create_time": "2023-01-18T11:18:15.248684+00:00", "parser_name": "parsers/vasp", "mainfile": "vasp.xml", "published": true, - "publish_time": "2022-12-19T09:29:58.340314+00:00", + "publish_time": "2023-01-18T11:18:15.247684+00:00", "with_embargo": false, "embargo_length": 0, "license": "CC BY 4.0", @@ -456,14 +456,14 @@ ], "metadata": { "upload_id": "dft_upload", - "upload_create_time": "2022-12-19T09:29:58.337314+00:00", + "upload_create_time": "2023-01-18T11:18:15.244684+00:00", "entry_id": "dft_bulk", "entry_hash": "dummy_hash_dft_bulk", - "entry_create_time": "2022-12-19T09:29:58.341314+00:00", + "entry_create_time": "2023-01-18T11:18:15.248684+00:00", "parser_name": "parsers/vasp", "mainfile": "vasp.xml", "published": true, - "publish_time": "2022-12-19T09:29:58.340314+00:00", + "publish_time": "2023-01-18T11:18:15.247684+00:00", "with_embargo": false, "embargo_length": 0, "license": "CC BY 4.0", diff --git a/nomad/atomutils.py b/nomad/atomutils.py index 3270db450ab5b87a8f0958c3848b405d03b34169..49097208c5dfc8d691751e07a74060a11c437793 100644 --- a/nomad/atomutils.py +++ b/nomad/atomutils.py @@ -16,6 +16,8 @@ # limitations under the License. # +from __future__ import annotations + import warnings import functools import itertools @@ -26,7 +28,7 @@ import math import re from string import ascii_uppercase from functools import reduce -from typing import List, Dict, Tuple, Any, Union, Iterable, cast, Callable +from typing import List, Dict, Tuple, Any, Union, Iterable, cast, Callable, TYPE_CHECKING import logging from nptyping import NDArray @@ -51,6 +53,9 @@ from nomad.aflow_prototypes import aflow_prototypes from nomad.constants import atomic_masses from nomad.units import ureg +if TYPE_CHECKING: + from nomad.datamodel.results import Material + def get_summed_atomic_mass(atomic_numbers: NDArray[Any]) -> float: ''' @@ -728,6 +733,7 @@ class Formula(): self._count = count if len(count) == 0: raise ValueError(f'Could not extract any species from the formula "{formula}"') + self._original_formula = formula def count(self) -> Dict[str, int]: '''Return dictionary that maps chemical symbol to number of atoms. @@ -742,6 +748,7 @@ class Formula(): - iupac: The IUPAC formula (see chemical_formula_iupac) - reduced: Reduced formula (see chemical_formula_reduced) - anonymous: Anonymized formula (see chemical_formula_anonymous) + - original: The originally supplied formula format ''' if fmt == 'hill': return self._formula_hill() @@ -751,6 +758,8 @@ class Formula(): return self._formula_reduced() if fmt == 'anonymous': return self._formula_anonymous() + if fmt == 'original': + return self._original_formula else: raise ValueError(f'Invalid format option "{fmt}"') @@ -759,6 +768,42 @@ class Formula(): ''' return sorted(self.count().keys()) + def atomic_fractions(self) -> Dict[str, float]: + '''Returns dictionary that maps chemical symbol to atomic fraction. + + Returns: + Dict[str, float]: Dictionary with chemical symbol as key and the atomic + fraction as value. + ''' + count = self.count() + total_count = sum(count.values()) + atomic_fractions = {key: value / total_count for key, value in count.items()} + return atomic_fractions + + def populate_material(self, material: Material, + descriptive_format: Union[str, None] = 'original') -> None: + '''Populates the supplied material object with the list of elements as well as the + formulae in the formats: hill, reduced, iupac, anonymous and descriptive. + The descriptive formula defaults to the originally supplied formula but can be + changed to any other format by supplying the `descriptive_format` argument as: + 'hill', 'reduced', 'iupac' or 'anonymous'. If descriptive_format is None, no + descriptive formula will be added to the material. + + Args: + material (Material): The material object to be populated with elements and + formulae. + descriptive_format (Union[str, None], optional): The format used for the + descriptive formula (see `format` method for details). If None, the materials + descriptive formula is not set. Defaults to 'original'. + ''' + material.elements = self.elements() + material.chemical_formula_hill = self.format('hill') + material.chemical_formula_reduced = self.format('reduced') + material.chemical_formula_iupac = self.format('iupac') + material.chemical_formula_anonymous = self.format('anonymous') + if descriptive_format: + material.chemical_formula_descriptive = self.format(descriptive_format) + def _remove_parentheses(self, formula: str) -> str: '''Used to remove parentheses from a formula. E.g. C(2)O(1) becomes C2O1 Args: diff --git a/nomad/datamodel/metainfo/eln/__init__.py b/nomad/datamodel/metainfo/eln/__init__.py index f5f874529600cfa06da07f750ac0af25c17461c0..63393daaa90c97eaac7e696c9f7765d62719ba5c 100644 --- a/nomad/datamodel/metainfo/eln/__init__.py +++ b/nomad/datamodel/metainfo/eln/__init__.py @@ -17,14 +17,16 @@ # import numpy as np +import datetime +import re +from typing import Any, Dict, List from nomad import utils from nomad.units import ureg from nomad.datamodel.data import EntryData, ArchiveSection, author_reference -from nomad.metainfo.metainfo import SectionProxy -from nomad.datamodel.results import ( - ELN, Results, Material, ElectronicProperties, BandStructureElectronic, BandGap -) -from nomad.metainfo import Package, Quantity, Datetime, Reference, Section +from nomad.metainfo.metainfo import MSection, MProxy, MEnum +from nomad.datamodel.results import ELN, Results, Material +from nomad.metainfo import Package, Quantity, Datetime, Reference, Section, SubSection +from ase.data import chemical_symbols, atomic_numbers, atomic_masses from nomad.datamodel.metainfo.eln.perovskite_solar_cell_database import ( add_solar_cell, add_band_gap ) @@ -35,6 +37,13 @@ from nomad.datamodel.metainfo.eln.nexus_data_converter import NexusDataConverter m_package = Package(name='eln') +class User(MSection): + user = Quantity( + type=author_reference, + description='The corresponding user for the activity.', + a_eln=dict(component='AuthorEditQuantity')) + + class ElnBaseSection(ArchiveSection): ''' A generic abstract base section for ELNs that provides a few commonly used properties. @@ -46,29 +55,44 @@ class ElnBaseSection(ArchiveSection): to NOMAD's search. A particular example are `tags`, if you define a string or enum quantity in your sections named `tags`, its values will be searchable. ''' + name = Quantity( type=str, description='A short human readable and descriptive name.', - a_eln=dict(component='StringEditQuantity')) + a_eln=dict(component='StringEditQuantity', label='Short name')) + + datetime = Quantity( + type=Datetime, + description='The date and time associated with this section.', + a_eln=dict(component='DateTimeEditQuantity')) lab_id = Quantity( type=str, - description='A id string that is unique at least for the lab that produced this data.', - a_eln=dict(component='StringEditQuantity')) + description='''An ID string that is unique at least for the lab that produced this + data. Will be generated automatically upon saving if name, users and institute + is filled.''', + a_eln=dict(component='StringEditQuantity', label="ID")) description = Quantity( type=str, - description=( - 'A human description. This provides room for human readable information ' - 'that could not be captured in the ELN.'), + description='Any information that cannot be captured in the other fields.', a_eln=dict(component='RichTextEditQuantity')) + users = SubSection( + description=''' + The responsible person for this archive entry. + ''', + section_def=User, + repeats=True) + def normalize(self, archive, logger): super(ElnBaseSection, self).normalize(archive, logger) if isinstance(self, EntryData): if archive.data == self and self.name: archive.metadata.entry_name = self.name + elif self.name is None: + self.name = archive.metadata.entry_name.split('.')[0].replace('_', ' ') EntryData.normalize(self, archive, logger) if not archive.results: @@ -76,10 +100,17 @@ class ElnBaseSection(ArchiveSection): if not archive.results.eln: archive.results.eln = ELN() + if self.datetime is None: + self.datetime = datetime.datetime.now() + if self.lab_id: if archive.results.eln.lab_ids is None: archive.results.eln.lab_ids = [] - archive.results.eln.lab_ids.append(self.lab_id) + if self.lab_id not in archive.results.eln.lab_ids: + archive.results.eln.lab_ids.append(self.lab_id) + else: + if archive.results.eln.lab_ids and len(archive.results.eln.lab_ids) > 0: + self.lab_id = archive.results.eln.lab_ids[0] if getattr(self, 'name'): if archive.results.eln.names is None: @@ -105,27 +136,37 @@ class ElnBaseSection(ArchiveSection): archive.results.eln.sections.append(self.m_def.name) -class ElnActivityBaseSection(ElnBaseSection): +class Entity(ElnBaseSection): + ''' A ELN base section that can be used for chemicals.''' + pass + + +class Activity(ElnBaseSection): ''' A generic abstract base section for ELNs that provides a few commonly used for laboratory activities, e.g. processes, characterizations, measurements, etc. ''' datetime = Quantity( + type=Datetime, + description='The date and time when this activity was started.', + a_eln=dict(component='DateTimeEditQuantity', label='Starting Time')) + + end_time = Quantity( type=Datetime, description='The date and time when this activity was done.', - a_eln=dict(component='DateTimeEditQuantity')) + a_eln=dict(component='DateTimeEditQuantity', label='Ending Time')) method = Quantity( type=str, description='A short consistent handle for the applied method.') - user = Quantity( - type=author_reference, - description='The corresponding user for the activity.', - a_eln=dict(component='AuthorEditQuantity')) + location = Quantity( + type=str, + description='location of the experiment.', + a_eln=dict(component='StringEditQuantity')) def normalize(self, archive, logger): - super(ElnActivityBaseSection, self).normalize(archive, logger) + super(Activity, self).normalize(archive, logger) if archive.results.eln.methods is None: archive.results.eln.methods = [] @@ -135,51 +176,60 @@ class ElnActivityBaseSection(ElnBaseSection): archive.results.eln.methods.append(self.m_def.name) -class ElnWithFormulaBaseSection(ElnBaseSection): - ''' - A generic abstract base section for ELNs that provides a few commonly used for - items with a chemical formula, e.g. chemicals or samples. +class ElementalComposition(MSection): + '''A section for describing the elemental composition of a system, i.e. the element + and its atomic fraction. ''' - chemical_formula = Quantity( - type=str, - description=( - 'The chemical formula. This will be used directly and ' - 'indirectly in the search. The formula will be used itself as well as ' - 'the extracted chemical elements.'), - a_eln=dict(component='StringEditQuantity')) - - def normalize(self, archive, logger): - super(ElnWithFormulaBaseSection, self).normalize(archive, logger) - - if logger is None: - logger = utils.get_logger(__name__) - from nomad.atomutils import Formula - if self.chemical_formula: - if not archive.results: - archive.results = Results() - if not archive.results.material: - archive.results.material = Material() - material = archive.results.material - - try: - material.elements = Formula(self.chemical_formula).elements() - material.chemical_formula_hill = Formula(self.chemical_formula).format('hill') - material.chemical_formula_reduced = Formula(self.chemical_formula).format('reduced') - material.chemical_formula_iupac = Formula(self.chemical_formula).format('iupac') - material.chemical_formula_anonymous = Formula(self.chemical_formula).format('anonymous') - material.chemical_formula_descriptive = self.chemical_formula - except Exception as e: - logger.warn('could not analyse chemical formula', exc_info=e) - - -class Chemical(ElnWithFormulaBaseSection): - ''' A ELN base section that can be used for chemicals.''' - pass - - -class Sample(ElnWithFormulaBaseSection): - ''' A ELN base section that can be used for samples.''' - pass + m_def = Section(label_quantity='element') + element = Quantity( + type=MEnum(chemical_symbols[1:]), + description=''' + The symbol of the element, e.g. 'Pb'. + ''', + a_eln=dict(component='EnumEditQuantity')) + atomic_fraction = Quantity( + type=np.float64, + description=''' + The atomic fraction of the element in the system it is contained within. + Per definition a positive value less than or equal to 1. + ''', + a_eln=dict(component='NumberEditQuantity') + ) + + +class System(Entity): + '''A base class for any system of materials which is investigated or used to construct + other systems.''' + elemental_composition = SubSection( + description=''' + A list of all the elements found in the system together and their respective + atomic fraction within the system. + ''', + section_def=ElementalComposition, + repeats=True) + + def normalize(self, archive, logger: Any) -> None: + '''The normalizer for the `System` class. Will add a results.material subsection + if none exists. Will populate the elements property of that subsection with a + uniques list of element symbols retrieved from the system elemental_composition. + + Args: + archive (EntryArchive): The archive containing the section that is being + normalized. + logger (Any): A structlog logger. + ''' + super(System, self).normalize(archive, logger) + if not archive.results.material: + archive.results.material = Material() + elements = set() + for comp in self.elemental_composition: + if comp.element not in chemical_symbols: + logger.warn( + f"'{comp.element}' is not a valid element symbol and this " + "elemental_composition section will be ignored.") + else: + elements.add(comp.element) + archive.results.material.elements = list(elements) class Instrument(ElnBaseSection): @@ -193,25 +243,479 @@ class Instrument(ElnBaseSection): archive.results.eln.instruments.append(self.name) -class Process(ElnActivityBaseSection): +class Process(Activity): ''' A ELN base section that can be used for processes.''' pass -class Measurement(ElnActivityBaseSection): +class Measurement(Activity): ''' A ELN base section that can be used for measurements.''' pass +class Component(ArchiveSection): + '''A section for describing a component and its role in an ensemble.''' + name = Quantity( + type=str, + description='A short name for the component.', + a_eln=dict(component='StringEditQuantity', label='Component name')) + system = Quantity( + type=Reference(System.m_def), + description='A reference to the component system.', + a_eln=dict(component='ReferenceEditQuantity')) + mass = Quantity( + type=np.float64, + description='The mass of the component.', + unit='kg', + a_eln=dict(component='NumberEditQuantity', defaultDisplayUnit='mg')) + + def normalize(self, archive, logger: Any) -> None: + '''The normalizer for the `Component` class. If none is set, the normalizer + will set the name of the component to be that of the referenced system if it has + one. + + Args: + archive (EntryArchive): The archive containing the section that is being + normalized. + logger (Any): A structlog logger. + ''' + super(Component, self).normalize(archive, logger) + if self.name is None and self.system is not None: + self.name = self.system.name + + +class Ensemble(System): + '''A base class for an ensemble of material systems. Each component of the ensemble is + of a (sub)type of `System`.''' + components = SubSection( + description=''' + A list of all the components of the ensemble containing a name, reference to the + system section and mass of that component. + ''', + section_def=Component, + repeats=True) + + @staticmethod + def _atomic_to_mass(composition: List[ElementalComposition], mass: float) -> Dict[str, float]: + '''Private static method for converting list of ElementalComposition objects to + dictionary of element masses with the element symbol as key and mass as value. + + Args: + composition (List[ElementalComposition]): List of ElementalComposition objects + containing the element symbol and the atomic fraction of that element + respectively. + mass (float): The total mass of that component which is simply multiplied with + the atomic fractions. + + Returns: + Dict[str, float]: Dictionary of element masses with the element symbol as key + and the mass as (float) value. If any atomic fraction is None, all masses will + be None. + ''' + atomic_fractions = [] + atom_masses = [] + for comp in composition: + if None in [mass, comp.element, comp.atomic_fraction]: + return {comp.element: None for comp in composition if comp.element} + atomic_fractions.append(comp.atomic_fraction) + if comp.element not in atomic_numbers: + raise ValueError(f'Unknown element symbol: {comp.element}') + atom_masses.append(atomic_masses[atomic_numbers[comp.element]]) + masses = np.array(atomic_fractions) * np.array(atom_masses) + mass_array = mass * masses / masses.sum() + mass_dict: Dict[str, float] = {} + for c, m in zip(composition, mass_array): + if c.element in mass_dict: + mass_dict[c.element] += m + else: + mass_dict[c.element] = m + return mass_dict + + @staticmethod + def _mass_to_atomic(mass_dict: Dict[str, float]) -> List[ElementalComposition]: + '''Private static method for converting ditctionary of elements with their masses + to a list of ElementalComposition objects containing atomic fractions. + + Args: + mass_dict (Dict[str, float]): Dictionary of element masses with the element + symbol as key and the mass as (float) value. + + Returns: + List[ElementalComposition]: List of ElementalComposition objects containing + the element symbol and the atomic fraction of that element respectively. If + any input mass is None all the "atomic_fraction" properties are set to None. + ''' + atoms = [] + elements = [] + for element, mass in mass_dict.items(): + elements.append(element) + if mass is None: + return [ElementalComposition(element=symbol) for symbol in mass_dict] + else: + atoms.append(mass / atomic_masses[atomic_numbers[element]]) + atoms_array: np.ndarray = np.array(atoms).astype(float) + total_atoms = atoms_array.sum() + atomic_fractions = atoms_array / total_atoms + + return [ElementalComposition(element=symbol, atomic_fraction=atomic_fraction) + for atomic_fraction, symbol in zip(atomic_fractions, elements)] + + def normalize(self, archive, logger: Any) -> None: + '''The normalizer for the `Ensemble` class. If the elemental composition list is + empty, the normalizer will iterate over the components and extract all the + elements for populating the elemental composition list. If masses are provided for + all components and the elemental composition of all components contain atomic + fractions the normalizer will also calculate the atomic fractions for the + ensemble. The populated elemental composition list is added to the results by the + normalizer in the `System` super class. + + Args: + archive (EntryArchive): The archive containing the section that is being + normalized. + logger (Any): A structlog logger. + ''' + if logger is None: + logger = utils.get_logger(__name__) + if not self.elemental_composition: + from pint import UnitRegistry + ureg = UnitRegistry() + + mass_dict: Dict[str, float] = {} + for component in self.components: + if component.mass is None: + mass = None + else: + mass = component.mass.to(ureg.kilogram).magnitude + component_dict = self._atomic_to_mass( + component.system.elemental_composition, mass) + for element, mass in component_dict.items(): + if element in mass_dict and mass is not None: + mass_dict[element] += mass + else: + mass_dict[element] = mass + self.elemental_composition = self._mass_to_atomic(mass_dict) + + super(Ensemble, self).normalize(archive, logger) + + +class CASExperimentalProperty(MSection): + '''A section for experimental properties retrieved from the CAS API.''' + + name = Quantity( + type=str, + description='CAS experimental property name.') + + property = Quantity( + type=str, + description='CAS experimental property.') + + sourceNumber = Quantity( + type=str, + description='CAS experimental property source.') + + +class CASPropertyCitation(MSection): + '''A section for citations of the experimental properties retrieved from the CAS API. + ''' + + docUri = Quantity( + type=str, + description='CAS property citation document uri.') + + sourceNumber = Quantity( + type=int, + decription='CAS property citation source number.') + + source = Quantity( + type=str, + description='CAS property citation source.') + + +class Substance(System): + '''A base section for any substance defined in the ELN.''' + + name = Quantity( + type=str, + description='The name of the substance entry.', + a_eln=dict(component='StringEditQuantity', label='Substance name')) + + lab_id = Quantity( + type=str, + description=''' + A human human readable substance ID that is at least unique for the lab. + ''', + a_eln=dict(component='StringEditQuantity', label='Substance ID')) + + cas_uri = Quantity( + type=str, + description='CAS uri', + a_eln=dict(component='StringEditQuantity', label='CAS uri')) + + cas_number = Quantity( + type=str, + description='CAS number.', + a_eln=dict(component='StringEditQuantity', label='CAS number')) + + cas_name = Quantity( + type=str, + description='CAS name.', + a_eln=dict(component='StringEditQuantity', label='CAS name')) + + image = Quantity( + type=str, + description='CAS image.', + a_eln=dict(component='FileEditQuantity'), + a_browser=dict(adaptor='RawFileAdaptor', label='Image of substance')) + + inchi = Quantity( + type=str, + description='CAS inchi.', + a_eln=dict(component='StringEditQuantity')) + + inchi_key = Quantity( + type=str, + description='CAS inchi key.', + a_eln=dict(component='StringEditQuantity')) + + smile = Quantity( + type=str, + description='CAS smile.', + a_eln=dict(component='StringEditQuantity')) + + canonical_smile = Quantity( + type=str, + description='CAS canonical smile.', + a_eln=dict(component='StringEditQuantity')) + + molecular_formula = Quantity( + type=str, + description='CAS molecular formula.', + a_eln=dict(component='StringEditQuantity')) + + molecular_mass = Quantity( + type=np.dtype(np.float64), + unit='Da', + description='CAS molecular mass.', + a_eln=dict( + component='NumberEditQuantity')) + + cas_experimental_properties = SubSection( + section_def=CASExperimentalProperty, + repeats=True) + + cas_property_citations = SubSection( + section_def=CASPropertyCitation, + repeats=True) + + cas_synonyms = Quantity( + type=str, + shape=['*'], + description='CAS synonyms.' + ) + + description = Quantity( + type=str, + description=''' + A field for adding additional information about the substance that is not captured + by the other quantities and subsections. + ''', + a_eln=dict( + component='RichTextEditQuantity', label='Detailed substance description')) + + def _populate_from_cas(self, archive, logger: Any) -> None: + '''Private method for populating the attributes from a call to the CAS API using + the `cas_number`. + Will overwrite exisiting CAS attributes if the query provides a value for them. + I.e. all attributes that begin with `cas_`. + + Args: + archive (EntryArchive): The archive that is being normalized. + logger (Any): A structlog logger. + ''' + import httpx + response = httpx.get( + f'https://commonchemistry.cas.org/api/detail?cas_rn={self.cas_number}', + timeout=2) + if response.status_code == 200: + response_dict = response.json() + + self.cas_uri = response_dict.get("uri", None) + + cas_name = response_dict.get("name", None) + if cas_name: + self.cas_name = re.sub(r'<.*?>', '', cas_name) + if not self.name: + self.name = self.cas_name + + if not self.image: + image = response_dict.get("image", None) + if image: + self.image = f"cas_{self.cas_number}_image.svg" + with archive.m_context.raw_file(self.image, 'w') as fh: + fh.write(image) + + if not self.inchi: + self.inchi = response_dict.get("inchi", None) + + if not self.inchi_key: + self.inchi_key = response_dict.get("inchiKey", None) + + if not self.smile: + self.smile = response_dict.get("smile", None) + + if not self.canonical_smile: + self.canonical_smile = response_dict.get("canonicalSmile", None) + + if not self.molecular_formula: + molecular_formula = response_dict.get("molecularFormula", None) + if molecular_formula: + self.molecular_formula = re.sub(r'<.*?>', '', molecular_formula) + + if not self.molecular_mass: + molecular_mass = response_dict.get("molecularMass", None) + if molecular_mass: + try: + self.molecular_mass = float(molecular_mass) + except ValueError as e: + logger.warn( + f"Could not convert molecular mass results'{molecular_mass}'" + + "returned from CAS api request.", + exc_info=e) + + experimental_properties = response_dict.get("experimentalProperties", []) + props = [ + CASExperimentalProperty.m_from_dict(p) for p in experimental_properties] + if len(props) > 0: + self.cas_experimental_properties = props + + property_citations = response_dict.get("propertyCitations", []) + citations = [CASPropertyCitation.m_from_dict(c) for c in property_citations] + if len(citations) > 0: + self.cas_property_citations = citations + + self.cas_synonyms = response_dict.get("synonyms", []) + + elif response.status_code == 404: + logger.warn(f"No CAS entry found with CAS number: {self.cas_number}") + elif response.status_code >= 500: + logger.warn(f"Remote server error on CAS API call.") + else: + logger.warn( + f"Unexpected response code: {response.status_code} from CAS API call.") + + def _cas_search_unique(self, search: str, archive, logger: Any) -> bool: + '''Private method for performing a search of the CAS API and populating the + attributes with the CAS number of any unique search result. + + Args: + search (str): The string to search the CAS API with. + archive (EntryArchive): The archive that is being normalized. + logger (Any): A structlog logger. + + Returns: + bool: Whether the search found a unique result. + ''' + import httpx + response = httpx.get( + f'https://commonchemistry.cas.org/api/search?q={search}', timeout=2) + if response.status_code == 200: + response_dict = response.json() + n_hits = response_dict.get("count", 0) + if n_hits == 0: + logger.info(f"Queried the CAS API for '{search}' without result.") + return False + elif n_hits == 1: + try: + self.cas_number = response_dict["results"][0]["rn"] + self._populate_from_cas(archive, logger) + return True + except KeyError as e: + logger.warn("Unknown response format from CAS API.", exc_info=e) + else: + logger.warn( + f"Query to CAS API for '{search}' returned {n_hits} hits, please " + + "specify further.") + return False + return False + + def _find_cas(self, archive, logger: Any) -> None: + '''Private method for finding the CAS number using the filled attributes in the + following order: + 1. `cas_name` + 2. `inchi` + 3. `inchi_key` + 4. `smile` + 5. `canonical_smile` + 6. `name` + The first unique hit will populate the `cas_number` attribute and return. + + Args: + archive (EntryArchive): The archive that is being normalized. + logger (Any): A structlog logger. + ''' + for key in ( + self.cas_name, + self.inchi, + self.inchi_key, + self.smile, + self.canonical_smile, + self.name): + if key and self._cas_search_unique(key, archive, logger): + return + + def normalize(self, archive, logger: Any) -> None: + '''The normalizer method for the `Substance` class. + This method will attempt to get data on the substance instance from the CAS API: + https://commonchemistry.cas.org/api-overview + If a CAS number is specified the details are retrieved directly. + Otherwise a search query is made for the filled attributes in the following order: + 1. `cas_name` + 2. `inchi` + 3. `inchi_key` + 4. `smile` + 5. `canonical_smile` + 6. `name` + + Args: + archive (EntryArchive): The archive that is being normalized. + logger (Any): A structlog logger. + ''' + super(Substance, self).normalize(archive, logger) + if logger is None: + logger = utils.get_logger(__name__) + from nomad.atomutils import Formula + + if self.cas_number: + self.cas_number = self.cas_number.strip() + self._populate_from_cas(archive, logger) + else: + self._find_cas(archive, logger) + + if self.molecular_formula: + if not archive.results: + archive.results = Results() + if not archive.results.material: + archive.results.material = Material() + + try: + formula = Formula(self.molecular_formula) + formula.populate_material(material=archive.results.material) + if not self.elemental_composition: + for element, fraction in formula.atomic_fractions().items(): + self.elemental_composition.append(ElementalComposition.m_from_dict({ + "element": element, "atomic_fraction": fraction})) + except Exception as e: + logger.warn('Could not analyse chemical formula.', exc_info=e) + + super(Substance, self).normalize(archive, logger) + + class SampleID(ArchiveSection): ''' A ELN base section that can be used for sample IDs. If the `sample_owner`, `sample_short_name`, `ìnstitute`, and `creation_datetime` quantities are provided, the sample_id will be automatically created as a combination of these four quantities.''' - # m_def = Section( - # a_eln=dict(hide=['name', 'lab_id'])) - institute = Quantity( type=str, description='Alias/short name of the home institute of the owner, i.e. *HZB*.', @@ -246,31 +750,74 @@ class SampleID(ArchiveSection): An example would be hzb_oah_20200602_4001-08''', a_eln=dict(component='StringEditQuantity')) - children = Quantity( - type=Reference(SectionProxy('SampleID')), - shape=["*"], - descriptions='A reference to a sample which are children of this one.', - a_eln=dict(component='ReferenceEditQuantity')) - - parents = Quantity( - type=Reference(SectionProxy('SampleID')), - descriptions='A reference to sample which are parents of this one.', - a_eln=dict(component='ReferenceEditQuantity')) - def normalize(self, archive, logger): + '''The normalizer for the `SampleID` class. + If sample owner is not filled the field will be filled by the first two letters of + the first name joined with the first two letters of the last name of the author. + If the institute is not filled a institute abreviations will be constructed from + the author's affiliation. + If no creation datetime is filled, the datetime will be taken from the `datetime` + property of the parent, if it exists, otherwise the current date and time will be + used. + If no short name is filled, the name will be taken from the parent name, if it + exists, otherwise it will be taken from the archive metadata entry name, if it + exists, and finally if no other options are available it will use the name of the + mainfile. + + Args: + archive (EntryArchive): The archive containing the section that is being + normalized. + logger (Any): A structlog logger. + ''' super(SampleID, self).normalize(archive, logger) + if self.sample_owner is None or self.institute is None: + from unidecode import unidecode + author = archive.metadata.main_author + if author and self.sample_owner is None: + first_short = unidecode(author.first_name)[:2] + last_short = unidecode(author.last_name)[:2] + self.sample_owner = first_short + last_short + if author and self.institute is None: + unwanted_words = ("zu", "of", "the", "fur", "für") + institute = '' + all_words = re.split(' |-|_|,|:|;', unidecode(author.affiliation)) + wanted_words = [w for w in all_words if w.lower() not in unwanted_words] + for word in wanted_words: + word_remainder = word + while word_remainder and len(institute) < 3: + letter = word_remainder[:1] + if letter.isupper(): + institute += letter + word_remainder = word_remainder[1:] + if len(institute) < min(len(author.affiliation), 2): + if len(wanted_words) < 3: + institute = author.affiliation[:3].upper() + else: + institute = ''.join([w[:1] for w in wanted_words[:3]]).upper() + self.institute = institute + + if self.creation_datetime is None: + if self.m_parent and getattr(self.m_parent, 'datetime', None): + self.creation_datetime = self.m_parent.datetime + else: + self.creation_datetime = datetime.datetime.now() + + if self.sample_short_name is None: + if self.m_parent and getattr(self.m_parent, 'name', None): + name = self.m_parent.name + elif archive.metadata.entry_name: + name = archive.metadata.entry_name + else: + name = archive.metadata.mainfile + self.sample_short_name = re.sub(r'_|\s', '-', name.split('.')[0]) + if self.institute and self.sample_short_name and self.sample_owner and self.creation_datetime: creation_date = self.creation_datetime.strftime('%Y%m%d') sample_owner = self.sample_owner.replace(' ', '-') sample_id_list = [self.institute, sample_owner, creation_date, self.sample_short_name] self.sample_id = '_'.join(sample_id_list) - if isinstance(self, EntryData): - if archive.data == self and self.sample_id: - archive.metadata.entry_name = self.sample_id.replace('_', ' ') - EntryData.normalize(self, archive, logger) - if not archive.results: archive.results = Results(eln=ELN()) if not archive.results.eln: @@ -279,7 +826,8 @@ class SampleID(ArchiveSection): if self.sample_id: if not archive.results.eln.lab_ids: archive.results.eln.lab_ids = [] - archive.results.eln.lab_ids.append(self.sample_id.replace('_', ' ')) + if self.sample_id not in archive.results.eln.lab_ids: + archive.results.eln.lab_ids.append(self.sample_id) if not archive.results.eln.sections: archive.results.eln.sections = [] @@ -341,14 +889,14 @@ class PublicationReference(ArchiveSection): super(PublicationReference, self).normalize(archive, logger) from nomad.datamodel.datamodel import EntryMetadata import dateutil.parser - import requests + import httpx # Parse journal name, lead author and publication date from crossref if self.DOI_number: try: url = f'https://api.crossref.org/works/{self.DOI_number}?mailto=contact@nomad-lab.eu' timeout = 2 - r = requests.get(url, timeout=timeout) + r = httpx.get(url, timeout=timeout) if r.status_code == 200: temp_dict = r.json() # make sure the doi has the prefix https://doi.org/ @@ -376,6 +924,50 @@ class PublicationReference(ArchiveSection): logger.warning(e) +# Legacy sections: +class ElnWithFormulaBaseSection(ElnBaseSection): + ''' + A generic abstract base section for ELNs that provides a few commonly used for + items with a chemical formula, e.g. chemicals or samples. + ''' + chemical_formula = Quantity( + type=str, + description=( + 'The chemical formula. This will be used directly and ' + 'indirectly in the search. The formula will be used itself as well as ' + 'the extracted chemical elements.'), + a_eln=dict(component='StringEditQuantity')) + + def normalize(self, archive, logger): + super(ElnWithFormulaBaseSection, self).normalize(archive, logger) + + if logger is None: + logger = utils.get_logger(__name__) + from nomad.atomutils import Formula + if self.chemical_formula: + if not archive.results: + archive.results = Results() + if not archive.results.material: + archive.results.material = Material() + + try: + formula = Formula(self.chemical_formula) + formula.populate_material(material=archive.results.material) + except Exception as e: + logger.warn('could not analyse chemical formula', exc_info=e) + + +class Chemical(ElnWithFormulaBaseSection): + ''' A ELN base section that can be used for chemicals.''' + pass + + +class Sample(ElnWithFormulaBaseSection): + ''' A ELN base section that can be used for samples.''' + pass + + +# Solar cell sections: class SolarCellDefinition(ArchiveSection): stack_sequence = Quantity( diff --git a/tests/data/datamodel/metainfo/eln/test_ensemble.archive.yaml b/tests/data/datamodel/metainfo/eln/test_ensemble.archive.yaml new file mode 100644 index 0000000000000000000000000000000000000000..6c0f0741a29c149021bc071592af69ffc39222df --- /dev/null +++ b/tests/data/datamodel/metainfo/eln/test_ensemble.archive.yaml @@ -0,0 +1,17 @@ +definitions: + name: My custom schemas + sections: + my_ensemble: + base_sections: [nomad.datamodel.metainfo.eln.Ensemble, nomad.datamodel.data.EntryData] + sub_sections: + sample_id: + section: nomad.datamodel.metainfo.eln.SampleID + my_substance: + base_sections: [nomad.datamodel.metainfo.eln.Substance, nomad.datamodel.data.EntryData] + +data: + m_def: my_ensemble + name: My ensemble + datetime: 1993-01-01T08:00:00.000000+00:00 + sample_id: + creation_datetime: 1993-01-01T08:00:00.000000+00:00 diff --git a/tests/data/datamodel/metainfo/eln/test_substance.archive.yaml b/tests/data/datamodel/metainfo/eln/test_substance.archive.yaml new file mode 100644 index 0000000000000000000000000000000000000000..6ea73e18c12ea134fe04d8fce5f61edef9cb632c --- /dev/null +++ b/tests/data/datamodel/metainfo/eln/test_substance.archive.yaml @@ -0,0 +1,9 @@ +definitions: + name: My custom schemas + sections: + my_substance: + base_sections: [nomad.datamodel.metainfo.eln.Substance, nomad.datamodel.data.EntryData] + +data: + m_def: my_substance + name: Lead Iodide diff --git a/tests/datamodel/metainfo/eln/test_system.py b/tests/datamodel/metainfo/eln/test_system.py new file mode 100644 index 0000000000000000000000000000000000000000..ac2f7e70d4fb4de6a0def25ac4ec9cede7173d62 --- /dev/null +++ b/tests/datamodel/metainfo/eln/test_system.py @@ -0,0 +1,50 @@ +# +# Copyright The NOMAD Authors. +# +# This file is part of NOMAD. See https://nomad-lab.eu for further info. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +from tests.normalizing.conftest import run_processing, run_normalize +from nomad.datamodel.data import User + + +def test_substance(raw_files, no_warn): + directory = 'tests/data/datamodel/metainfo/eln' + mainfile = 'test_substance.archive.yaml' + test_archive = run_processing(directory, mainfile) + + # Check that entry type is the custom 'my_substance' class + assert test_archive.metadata.entry_type == 'my_substance' + # Check that api call to CAS found Lead Iodide + assert test_archive.data.cas_number == '10101-63-0' + # Check that the material results section was populated by the normalizer + assert "I" in test_archive.results.material.elements + assert "Pb" in test_archive.results.material.elements + + +def test_ensemble(raw_files, no_warn): + directory = 'tests/data/datamodel/metainfo/eln' + mainfile = 'test_ensemble.archive.yaml' + test_archive = run_processing(directory, mainfile) + test_archive.metadata.main_author = User.m_from_dict({ + "first_name": "Sheldon", + "last_name": "Cooper", + "affiliation": "Humboldt-Universität zu Berlin"}) + run_normalize(test_archive) + + # Check that entry type is the custom 'my_ensemble' class + assert test_archive.metadata.entry_type == 'my_ensemble' + # Check that sample id was generated correctly from the author metadata + assert test_archive.data.lab_id == 'HUB_ShCo_19930101_My-ensemble' diff --git a/tests/states/archives/dft.json b/tests/states/archives/dft.json index 72077b21b42df2758cf5133ab607dabfa1238baa..2e80a2456885a182ff75b510a9220f7b90d3bae5 100644 --- a/tests/states/archives/dft.json +++ b/tests/states/archives/dft.json @@ -280,15 +280,15 @@ ], "metadata": { "upload_id": "dft_upload", - "upload_create_time": "2022-12-19T08:33:40.022167+00:00", + "upload_create_time": "2023-01-18T11:19:02.555556+00:00", "entry_id": "dft_bulk", "calc_id": "dft_bulk", "entry_hash": "dummy_hash_dft_bulk", - "entry_create_time": "2022-12-19T08:33:40.026167+00:00", + "entry_create_time": "2023-01-18T11:19:02.559556+00:00", "parser_name": "parsers/vasp", "mainfile": "vasp.xml", "published": true, - "publish_time": "2022-12-19T08:33:40.025167+00:00", + "publish_time": "2023-01-18T11:19:02.558556+00:00", "with_embargo": false, "embargo_length": 0, "license": "CC BY 4.0", diff --git a/tests/test_atomutils.py b/tests/test_atomutils.py index 31765e4a5d7a3cc98b0ca8c9b9f46e4d7f6ad4b2..6287aecb1e422d45a53f9aeb59fb658ad1398dbc 100644 --- a/tests/test_atomutils.py +++ b/tests/test_atomutils.py @@ -17,6 +17,7 @@ # import pytest from nomad.atomutils import Formula +from nomad.datamodel.results import Material @pytest.mark.parametrize('format, formula, expected_formula', [ @@ -54,6 +55,35 @@ from nomad.atomutils import Formula pytest.param('anonymous', 'OH2', 'A2B', id='reversed order'), pytest.param('anonymous', 'Cu2ZnSn0.5Ge0.5Se4', 'A8B4C2DE', id='non-integer coefficients'), pytest.param('anonymous', 'C2HOZa', 'A2BCD', id='unknown species'), + pytest.param('original', 'CsPbBr0.9I2.1', 'CsPbBr0.9I2.1', id='original formula'), ]) def test_formula(formula, format, expected_formula): assert Formula(formula).format(format) == expected_formula + + +@pytest.mark.parametrize('formula, expected_fractions', [ + pytest.param('C1H4', {'C': 1 / 5, 'H': 4 / 5}, id='integer coefficients'), + pytest.param('CsPbBr0.9I2.1', {'Cs': 0.2, 'Pb': 0.2, 'Br': 0.18, 'I': 0.42}, id='non-integer coefficients'), + pytest.param('HOH', {'H': 2 / 3, 'O': 1 / 3}, id='multiple element occurrences') +]) +def test_formula_atomic_fraction(formula, expected_fractions): + assert Formula(formula).atomic_fractions() == expected_fractions + + +@pytest.mark.parametrize('formula, descriptive_format, expected_formula, elements', [ + pytest.param('OH2', 'reduced', 'H2O', ['H', 'O'], id='reduced descriptive formula'), + pytest.param('I2Pb', 'iupac', 'PbI2', ['Pb', 'I'], id='iupac descriptive formula'), + pytest.param('I2Pb', 'original', 'I2Pb', ['Pb', 'I'], id='original descriptive formula'), + pytest.param('I2Pb', None, None, ['Pb', 'I'], id='no descriptive formula'), +]) +def test_formula_material_population(formula, descriptive_format, expected_formula, elements): + material = Material() + formula_object = Formula(formula) + formula_object.populate_material(material=material, descriptive_format=descriptive_format) + + assert material.chemical_formula_descriptive == expected_formula + assert sorted(material.elements) == sorted(elements) + assert material.chemical_formula_hill is not None + assert material.chemical_formula_reduced is not None + assert material.chemical_formula_iupac is not None + assert material.chemical_formula_anonymous is not None