File size: 6,356 Bytes
1c703f0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
"""
Structure of our main database:

DB
β”œβ”€β”€ unique_id.json :(dictionary)
β”‚   β”œβ”€β”€  unique_id [str]
β”‚   β”œβ”€β”€  formula   [str]
β”‚   β”œβ”€β”€  key_words [list(str)]
β”‚   β”œβ”€β”€  source: (dictionary)
β”‚   β”‚      β”œβ”€β”€ name: [str](ex: JARVIS /C2DB /None etc)
β”‚   β”‚      └── source_id:[str]
β”‚   β”œβ”€β”€  structure:(dictionary)
β”‚   β”‚        β”œβ”€β”€ atoms [list(int)]
β”‚   β”‚        β”œβ”€β”€ lattice_vectors [3x3[array]]
β”‚   β”‚        β”œβ”€β”€ pbc [bool, bool ,bool]
β”‚   β”‚        └── position [nx3[array]] n-nr of atoms
β”‚   β”œβ”€β”€ sub_components: [list(str)] (list of parents ids )
β”‚   β”œβ”€β”€  propriety: (dictionary)
β”‚   β”‚       β”œβ”€β”€ energy: (list[prop_dictionary])
β”‚   β”‚       β”œβ”€β”€ band gap: (list[prop_dictionary])
β”‚   β”‚       β”œβ”€β”€ band structure:(list[prop_dictionary])
β”‚   β”‚       β”œβ”€β”€ ....
β”‚   β”‚       └── density of states:(list[prop_dictionary])
β”‚   β”‚
β”‚   β”œβ”€β”€  citation:"str"
β”‚   └──  author: (dictionary)
β”‚          β”œβ”€β”€ name
β”‚          └── id
β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
β”‚
β”œβ”€β”€ prop_dictionary
β”‚   β”œβ”€β”€ name :(str) energy
β”‚   β”œβ”€β”€ value: (int float list )
β”‚   └──  source:  (dictionary)
β”‚       β”œβ”€β”€ tipe: (DB/computation/author_enforce)
β”‚       β”œβ”€β”€  citation:"str"
β”‚       └── description: (dictionary)
β”‚               β”œβ”€β”€ author_id : (str)
β”‚               └── method_name : (str)
β”‚                        β”œβ”€β”€ hyperparameters :(dictionary)
β”‚                        └── inputs :(dictionary)
β”‚
└─────────────────────────────────────────────────────────────────────────────────
"""

from .utils import read_json , process_chemical_formula
from .parse_c2db import *
from .parse_jarvis import *

# Constants:
JARVIS_DB_path = "/Users/voicutomut/Documents/GitLab/bespoke-interface/DB_experiments/JARVIS2D/d2-12-12-2022.json"


class DBInstance:
    def __init__(self):
        self.unique_id = None
        self.formula = None
        self.key_words = []
        self.source = None

        self.structure = {}
        self.sub_components = []
        self.propriety = {}
        self.author = {}

    def from_json_file(self, file_name):
        data = read_json(file_name)
        self.unique_id = data["unique_id"]
        self.formula = data["formula"]
        self.key_words = data["key_words"]
        self.structure = data["structure"]
        self.sub_components = data["sub_components"]
        self.source = data["source"]

        prop = {}
        for key in data["propriety"].keys():
            prop[key] = []
            read_prop = data["propriety"][key]
            for pro in read_prop:
                source = Source(pro["source"]["tipe"],
                                pro["source"]["author_id"],
                                pro["source"]["description"],
                                pro["source"]["cite"])
                r_pro = DBPropriety(pro["name"], pro["value"], source)

                prop[key].append(r_pro)

        self.propriety = prop

        self.author = data["author"]

        return self

    def from_c2db_jason(self, file_path):
        c2 = read_c2db_json(file_path)

        self.unique_id = from_c2db_unique_id(c2['structure.json'])
        self.formula = from_c2db_formula(c2['structure.json'])
        self.structure = from_c2db_structure(c2['structure.json'])
        self.source = {
            "name": "C2DB",
            "id": from_c2db_unique_id(c2['structure.json']),
            "file": file_path.split("/")[-1],
            "cite": "DOI 10.1088/2053-1583/aacfc1"
        }

        self.propriety = {
            "energy": [from_c2db_energy(c2['structure.json'])],
            "band_gap": [from_c2db_band_gap(c2)],
            "band_structure": [from_c2db_band_structure(c2)],
            "density_of_states": [from_c2db_density_of_states(c2)],
        }

        # Todo:
        self.key_words = process_chemical_formula(self.formula)
        self.sub_components = {}
        self.author = {"name": "c2db",
                       "id": "c2db"}

        return self

    def from_jarvis_json(self, jarvis_id, jarvis_data=JARVIS_DB_path):
        self.unique_id = jarvis_id

        jr_data = read_jarvis(jarvis_data)
        jr = get_jarvis_instance(jr_data, jarvis_id)

        self.formula = from_jarvis_formula(jr)
        self.structure = from_jarvis_structure(jr)
        self.source = {
            "name": "Jarvis",
            "id": jarvis_id,
            "file": jarvis_data.split("/")[-1],
            "cite": "https://jarvis.nist.gov"
        }

        self.propriety = {
            "energy": [from_jarvis_energy(jr)],
            "band_gap": [from_jarvis_band_gap(jr)],
            "band_structure": [from_jarvis_band_structure(jr)],
            "density_of_states": [from_jarvis_density_of_states(jr)],
        }
        print("band_structure:", self.propriety)
        self.key_words = process_chemical_formula(self.formula)
        self.sub_components = {}
        self.author = {"name": "jarvis",
                       "id": "jarvis"}
        return self

    def json_descript(self):
        propriety = {}
        for key in self.propriety.keys():
            propriety[key] = [prop.json_descript() for prop in self.propriety[key] if prop is not None]
        data_instance = {"unique_id": self.unique_id,
                         "formula": self.formula,
                         "key_words": self.key_words,
                         "source": self.source,

                         "structure": self.structure,

                         "sub_components": self.sub_components,
                         "propriety": propriety,
                         "author": self.author}



        return data_instance

# inst = DBInstance().from_c2db_jason("/Users/voicutomut/Desktop/WS2-64090c9845f8_data.json")
# print(inst.propriety["energy"][0].value)