File size: 7,098 Bytes
20bdfba
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
172
173
174
import uuid
from pydantic import ValidationError
import gradio as gr

from validation_submission.get_json import get_json_tmp, get_json_one_individual
from circumstances.class_circumstance import Circumstances
from behavior.class_behavior import Behaviors
from physical.class_physical import PhysicalAnomalies
from follow_up.class_follow_up import FollowUpEvents
from classes import Report, Wounded, Dead, ImageBase64
from validation_submission.processing import process_circumstance, process_behaviors, process_physical, process_followup

def get_fields(data_dict, keyword): 
    extract = {} 
    for key, val in data_dict.items():
        if keyword in key:
            extract[key] = val
    return extract

def validate_individual(error_box):
    error_box = reset_error_box(error_box)
    data = get_json_one_individual()
    data["identifier"] = str(uuid.uuid4())
    if "image" in data.keys():
        img = ImageBase64.to_base64(data["image"])
    else: 
        img = None
    if "geolocalisation" in data.keys():
        geolocalisation = data["geolocalisation"]
    else:
        geolocalisation = None

    error_behavior = None
    error_circumstance = None 
    error_followup = None 
    error_physical = None 
    error_individual = None
    if "wounded_state" not in data or "dead_state" not in data:
        data["wounded_state"] = "No"
        data["dead_state"] = "No"
    if (data["wounded_state"] == "Yes") or (data["dead_state"] == "Yes"):
        data_wounded_dead = get_json_tmp("wounded_dead")
        circumstance, error_circumstance = validate_circumstance(data_wounded_dead)
        physical, error_physical = validate_physical(data_wounded_dead)
        followup, error_followup = validate_follow_up(data_wounded_dead)

        if data["wounded_state"]=="Yes":
            print(physical)
            behavior, error_behavior = validate_behavior(data_wounded_dead)
            try : 
                individual = Report(identifier = data["identifier"],
                                    image = img,
                                    geolocalisation = geolocalisation,
                                    wounded_state = data["wounded_state"],
                                    wounded = Wounded(circumstances = circumstance,
                                                        behaviors = behavior,
                                                        physical_anomalies = physical,
                                                        follow_up_events = followup),
                                    dead_state = data["dead_state"])
            except ValidationError as e:
                print(e)
                error_individual = e

        elif data["dead_state"]=="Yes":
            try: 
                individual = Report(identifier = data["identifier"],
                                    image = img,
                                    geolocalisation = geolocalisation,
                                    wounded_state = data["wounded_state"],
                                    dead_state = data["dead_state"],
                                    dead = Dead(circumstances = circumstance,
                                                        physical_anomalies = physical,
                                                        follow_up_events = followup)
                                        )
            except ValidationError as e:
                print(e)
                error_individual = e
    else:
        try: 
            individual = Report(identifier = data["identifier"],
                                    image = img,
                                    geolocalisation = geolocalisation,
                                    wounded_state = data["wounded_state"],
                                    dead_state = data["dead_state"])
        except ValidationError as e:
            print(e)
            error_individual = e
    if error_behavior or error_circumstance or error_followup or error_physical or error_individual:
        error_box = show_error(error_box, error_behavior, error_circumstance, error_followup, error_physical, error_individual)
        individual = None
    else: 
        error_box= gr.Text(label="ALL VALID.", value="Record Registered. You can return to the Display.", visible=True, elem_id="valid")
    return individual, error_box

def show_error(error_box, error_behavior, error_circumstance, error_followup, error_physical, error_individual):
    error_text = ""
    if error_circumstance:
        error_text += f"Error in circumstance: {error_circumstance}\n"
    if error_behavior:
        error_text += f"Error in behavior: {error_behavior}\n"
    if error_physical:
        error_text += f"Error in physical: {error_physical}\n"
    if error_followup:
        error_text += f"Error in follow-up: {error_followup}\n"
    if error_individual:
        error_text += f"Error in individual: {error_individual}\n"
    error_text += "PLEASE CORRECT THESE ERRORS BEFORE SUBMITTING."
    error_box= gr.Text(label="ERROR DETECTED !", value=error_text, visible=True, elem_id="error")
    return error_box

def reset_error_box(error_box):
    error_box = gr.Text(value=None, visible=False)
    return error_box

#### VALIDATION FUNCTIONS
def validate_circumstance(data): 
    circumstance_raw = get_fields(data, "circumstance")
    circumstance_formatted = process_circumstance(circumstance_raw)
    try: 
        Circumstances.model_validate(circumstance_formatted)
        circumstances = Circumstances(**circumstance_formatted)
        error = None
    except ValidationError as e:
        error = e
        print(e)
        circumstances = None
    return circumstances, error
        

def validate_behavior(data): 
    behaviors_raw = get_fields(data, "behaviors")
    behaviors_formatted = process_behaviors(behaviors_raw)
    try:
        Behaviors.model_validate(behaviors_formatted)
        behavior = Behaviors(**behaviors_formatted)
        error = None
    except ValidationError as e:
        print(e)
        print("Validation failed for the behaviors.")
        behavior = None
        error = e
    return behavior, error
        

def validate_physical(data): 
    physical_raw = get_fields(data, "physical")
    physical_formatted = process_physical(physical_raw)
    try: 
        PhysicalAnomalies.model_validate(physical_formatted)
        physical = PhysicalAnomalies(**physical_formatted)
        error = None
    except ValidationError as e:
        print(e)
        print("Validation failed for the physical anomalies.")
        physical = None
        error = e
    return physical, error
        
def validate_follow_up(data):
    followup_raw = get_fields(data, "followup")
    followup_formatted = process_followup(followup_raw)
    try: 
        FollowUpEvents.model_validate(followup_formatted)
        followup = FollowUpEvents(**followup_formatted)
        error = None
    except ValidationError as e:
        print(e)
        print("Validation failed for the follow-up events.")
        followup = None
    return followup, error