File size: 4,861 Bytes
fa686c4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
175
176
177
178
import type { ModelType, PredictionClass } from "../context/AnalysisContext";

export interface ConfidenceScores {
  Healthy: number;
  MCI: number;
  AD: number;
}

export interface FoldPrediction {
  fold: number;
  prediction: PredictionClass;
  confidence: number;
  confidence_scores: ConfidenceScores;
}

export interface AnalyzeResponse {
  id: string;
  file_name: string;
  model: Exclude<ModelType, null>;
  prediction: PredictionClass;
  confidence: number;
  confidence_scores: ConfidenceScores;
  processed_at: string;
  spectrogram_image: string | null;
  scalogram_montage_image: string | null;
  spectrogram_channels: (string | null)[];
  scalogram_channels: (string | null)[];
  channel_0_image: string | null;
  channel_1_image: string | null;
  mock: boolean;
  fold_predictions: FoldPrediction[];
  fold_vote_counts: Partial<Record<PredictionClass, number>>;
  ensemble_folds: number;
  ensemble_mode: string;
}

export interface TrialAnalysisResult {
  id: string;
  file_name: string;
  trial_no: number | null;
  prediction: PredictionClass;
  confidence: number;
  confidence_scores: ConfidenceScores;
  spectrogram_image: string | null;
  scalogram_montage_image: string | null;
  spectrogram_channels: (string | null)[];
  scalogram_channels: (string | null)[];
  mock: boolean;
  fold_predictions: FoldPrediction[];
  fold_vote_counts: Partial<Record<PredictionClass, number>>;
  ensemble_folds: number;
  ensemble_mode: string;
}

export interface PatientAnalyzeResponse {
  id: string;
  patient_id: string;
  model: Exclude<ModelType, null>;
  prediction: PredictionClass;
  confidence: number;
  confidence_scores: ConfidenceScores;
  vote_counts: Partial<Record<PredictionClass, number>>;
  trial_count: number;
  agreement_ratio: number;
  processed_at: string;
  trial_results: TrialAnalysisResult[];
  mock: boolean;
}

const API_BASE = import.meta.env.VITE_API_URL ?? "";

export class AnalysisApiError extends Error {
  constructor(
    message: string,
    public status?: number,
  ) {
    super(message);
    this.name = "AnalysisApiError";
  }
}

export async function analyzeEeg(file: File, model: Exclude<ModelType, null>): Promise<AnalyzeResponse> {
  const formData = new FormData();
  formData.append("file", file);
  formData.append("model", model);

  const response = await fetch(`${API_BASE}/api/analyze`, {
    method: "POST",
    body: formData,
  });

  if (!response.ok) {
    let detail = "Analysis request failed.";
    try {
      const body = await response.json();
      if (typeof body.detail === "string") {
        detail = body.detail;
      } else if (Array.isArray(body.detail)) {
        detail = body.detail.map((d: { msg?: string }) => d.msg).filter(Boolean).join(", ") || detail;
      }
    } catch {
      if (response.status === 500) {
        detail = "Server error — ensure the backend is running and USE_MOCK_INFERENCE=true in backend/.env";
      }
    }
    throw new AnalysisApiError(detail, response.status);
  }

  return response.json();
}

export async function analyzePatientEeg(
  files: File[],
  model: Exclude<ModelType, null>,
): Promise<PatientAnalyzeResponse> {
  const formData = new FormData();
  files.forEach((file) => formData.append("files", file));
  formData.append("model", model);

  const response = await fetch(`${API_BASE}/api/analyze/patient`, {
    method: "POST",
    body: formData,
  });

  if (!response.ok) {
    let detail = "Patient analysis request failed.";
    try {
      const body = await response.json();
      if (typeof body.detail === "string") {
        detail = body.detail;
      } else if (Array.isArray(body.detail)) {
        detail = body.detail.map((d: { msg?: string }) => d.msg).filter(Boolean).join(", ") || detail;
      }
    } catch {
      if (response.status === 404) {
        detail = "Patient endpoint not found — restart the backend (npm run dev:backend).";
      } else if (response.status === 500) {
        detail = "Server error — restart the backend and try again.";
      }
    }
    throw new AnalysisApiError(detail, response.status);
  }

  return response.json();
}

export async function checkApiHealth(): Promise<boolean> {
  try {
    const response = await fetch(`${API_BASE}/api/health`);
    return response.ok;
  } catch {
    return false;
  }
}

export interface ModelStatusItem {
  name: Exclude<ModelType, null>;
  loaded: boolean;
  weights_found: boolean;
  weights_path: string;
}

export interface ModelsStatusResponse {
  models: ModelStatusItem[];
  use_mock_inference: boolean;
  fusion_detail: Record<string, unknown> | null;
}

export async function fetchModelsStatus(): Promise<ModelsStatusResponse | null> {
  try {
    const response = await fetch(`${API_BASE}/api/models/status`);
    if (!response.ok) return null;
    return response.json();
  } catch {
    return null;
  }
}