File size: 8,871 Bytes
c66cada
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
/**

 * Canonical Market Data Schema Definition

 * Version: 1.0

 * 

 * This schema defines the expected structure for healthcare market research data

 * across all system components (OpenClaw Agent, n8n Workflow, WordPress Dashboard)

 */

export const SCHEMA_VERSION = '1.0';

/**

 * Schema version history

 */
export const SCHEMA_VERSIONS = [
  {
    version: '1.0',
    releaseDate: '2024-01-20',
    changes: ['Initial schema definition with canonical structure'],
    backwardCompatible: true
  }
];

/**

 * Canonical Market Data Schema

 * All components must conform to this structure

 */
export const MARKET_DATA_SCHEMA = {
  // Schema metadata
  schemaVersion: SCHEMA_VERSION,
  
  // Required top-level fields
  required: [
    'marketTitle',
    'executiveOverview',
    'pastYear_2023',
    'currentYear_2025',
    'forecastYear_2033',
    'global_cagr_Forecast',
    'marketSegments',
    'marketDrivers',
    'competitiveLandscape'
  ],
  
  // Field type definitions
  fields: {
    marketTitle: { type: 'string', required: true },
    executiveOverview: { type: 'string', required: true },
    pastYear_2023: { type: 'number', required: true },
    currentYear_2025: { type: 'number', required: true },
    forecastYear_2033: { type: 'number', required: true },
    global_cagr_Forecast: { type: 'number', required: true },
    
    marketSegments: {
      type: 'array',
      required: true,
      items: {
        segmentCategory: { type: 'string', required: true },
        segmentName: { type: 'string', required: true },
        segmentName_cagr_Forecast: { type: 'number', required: false },
        subSegments: {
          type: 'array',
          required: true,
          items: {
            subSegmentName: { type: 'string', required: true },
            segment_marketShare_2023: { type: 'number', required: false },
            sub_segment_marketShare_2023: { type: 'number', required: false },
            segment_marketShare_2025: { type: 'number', required: false },
            sub_segment_marketShare_2025: { type: 'number', required: false },
            segment_marketShare_2033: { type: 'number', required: false },
            sub_segment_marketShare_2033: { type: 'number', required: false },
            sub_segmentName_cagr_Forecast: { type: 'number', required: false }
          }
        }
      }
    },
    
    marketDrivers: { type: 'array', required: true },
    emergingTrends: { type: 'array', required: false },
    
    insights: {
      type: 'object',
      required: false,
      fields: {
        largestSegment2025: { type: 'string', required: false },
        fastestGrowingSegment: { type: 'string', required: false },
        keyOpportunities: { type: 'array', required: false },
        majorChallenges: { type: 'array', required: false }
      }
    },
    
    competitiveLandscape: {
      type: 'array',
      required: true,
      items: {
        company: { type: 'string', required: true },
        player_marketShare_2025: { type: 'number', required: true },
        positioning: { type: 'string', required: false }
      }
    },
    
    regulatoryEnvironment: { type: 'string', required: false },
    geographicAnalysis: { type: 'string', required: false },
    futureOutlook: { type: 'string', required: false },
    strategicRecommendations: { type: 'array', required: false }
  }
};

/**

 * Schema Validator Class

 * Validates market data against the canonical schema

 */
export class SchemaValidator {
  constructor(schema = MARKET_DATA_SCHEMA) {
    this.schema = schema;
  }
  
  /**

   * Validate data against schema

   * @param {Object} data - Data to validate

   * @returns {Object} - { valid: boolean, errors: string[], warnings: string[] }

   */
  validate(data) {
    const errors = [];
    const warnings = [];
    
    if (!data || typeof data !== 'object') {
      errors.push('Data must be an object');
      return { valid: false, errors, warnings };
    }
    
    // Check required top-level fields
    for (const field of this.schema.required) {
      if (!(field in data) || data[field] === null || data[field] === undefined) {
        errors.push(`Missing required field: ${field}`);
      }
    }
    
    // Validate field types
    this.validateFields(data, this.schema.fields, '', errors, warnings);
    
    // Validate marketSegments structure
    if (Array.isArray(data.marketSegments)) {
      data.marketSegments.forEach((segment, idx) => {
        if (!segment.segmentName) {
          errors.push(`marketSegments[${idx}]: missing segmentName`);
        }
        if (!Array.isArray(segment.subSegments)) {
          errors.push(`marketSegments[${idx}]: subSegments must be an array`);
        }
      });
    }
    
    // Validate competitiveLandscape
    if (Array.isArray(data.competitiveLandscape)) {
      if (data.competitiveLandscape.length < 5) {
        warnings.push('competitiveLandscape should include at least 5 companies');
      }
      data.competitiveLandscape.forEach((company, idx) => {
        if (!company.company) {
          errors.push(`competitiveLandscape[${idx}]: missing company name`);
        }
        if (typeof company.player_marketShare_2025 !== 'number') {
          errors.push(`competitiveLandscape[${idx}]: player_marketShare_2025 must be a number`);
        }
      });
    }
    
    return {
      valid: errors.length === 0,
      errors,
      warnings
    };
  }
  
  /**

   * Validate individual fields recursively

   */
  validateFields(data, fieldDefs, path, errors, warnings) {
    for (const [fieldName, fieldDef] of Object.entries(fieldDefs)) {
      const fullPath = path ? `${path}.${fieldName}` : fieldName;
      const value = data[fieldName];
      
      // Check if required field is missing
      if (fieldDef.required && (value === null || value === undefined)) {
        errors.push(`Missing required field: ${fullPath}`);
        continue;
      }
      
      // Skip validation if field is optional and not present
      if (!fieldDef.required && (value === null || value === undefined)) {
        continue;
      }
      
      // Validate type
      if (fieldDef.type === 'array') {
        if (!Array.isArray(value)) {
          errors.push(`${fullPath} must be an array`);
        } else if (fieldDef.items && value.length > 0) {
          // Validate array items
          value.forEach((item, idx) => {
            if (typeof fieldDef.items === 'object' && !Array.isArray(fieldDef.items)) {
              this.validateFields(item, fieldDef.items, `${fullPath}[${idx}]`, errors, warnings);
            }
          });
        }
      } else if (fieldDef.type === 'object') {
        if (typeof value !== 'object' || Array.isArray(value)) {
          errors.push(`${fullPath} must be an object`);
        } else if (fieldDef.fields) {
          this.validateFields(value, fieldDef.fields, fullPath, errors, warnings);
        }
      } else if (fieldDef.type === 'string') {
        if (typeof value !== 'string') {
          errors.push(`${fullPath} must be a string`);
        }
      } else if (fieldDef.type === 'number') {
        if (typeof value !== 'number' || isNaN(value)) {
          errors.push(`${fullPath} must be a number`);
        }
      } else if (fieldDef.type === 'boolean') {
        if (typeof value !== 'boolean') {
          errors.push(`${fullPath} must be a boolean`);
        }
      }
    }
  }
  
  /**

   * Get schema version

   */
  getVersion() {
    return this.schema.schemaVersion;
  }
  
  /**

   * Get schema documentation

   */
  getDocumentation() {
    return {
      version: this.schema.schemaVersion,
      required: this.schema.required,
      fields: this.schema.fields,
      versions: SCHEMA_VERSIONS
    };
  }
}

/**

 * Validate market data (convenience function)

 * @param {Object} data - Data to validate

 * @returns {Object} - Validation result

 */
export function validateMarketData(data) {
  const validator = new SchemaValidator();
  return validator.validate(data);
}

/**

 * Error types for schema validation

 */
export class ValidationError extends Error {
  constructor(message, errors = []) {
    super(message);
    this.name = 'ValidationError';
    this.errors = errors;
  }
}

export class MissingDataError extends Error {
  constructor(message, missingFields = []) {
    super(message);
    this.name = 'MissingDataError';
    this.missingFields = missingFields;
  }
}

export class TransformationError extends Error {
  constructor(message, details = {}) {
    super(message);
    this.name = 'TransformationError';
    this.details = details;
  }
}