File size: 14,955 Bytes
10ac46e
 
 
 
 
 
 
 
 
 
 
 
353a9b9
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
10ac46e
 
353a9b9
 
 
 
 
 
 
 
 
 
10ac46e
 
 
353a9b9
 
10ac46e
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
353a9b9
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
10ac46e
353a9b9
 
10ac46e
353a9b9
 
 
 
 
 
10ac46e
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
db97c61
 
 
10ac46e
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
f36d1f9
10ac46e
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
f36d1f9
10ac46e
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
import { Router } from 'express';
import { upload, validateUpload, FileProcessor } from './file-upload';
import { documentProcessor } from './document-processor';
import { storage } from './storage';
import { fileUploadSchema, documentProcessingSchema, batchProcessingSchema } from '@shared/schema';
import path from 'path';

const router = Router();

/**
 * Upload documents (multiple files supported)
 */
router.post('/upload', (req, res, next) => {
  upload.array('files', 10)(req, res, (err) => {
    if (err) {
      console.error('Multer upload error:', err);
      
      // Handle specific multer errors
      if (err.code === 'LIMIT_FILE_SIZE') {
        return res.status(400).json({
          success: false,
          error: 'File too large',
          message: `File size exceeds the maximum limit of 50MB. File: ${err.field}`
        });
      }
      
      if (err.code === 'LIMIT_FILE_COUNT') {
        return res.status(400).json({
          success: false,
          error: 'Too many files',
          message: 'Maximum 10 files allowed per upload'
        });
      }
      
      if (err.code === 'LIMIT_UNEXPECTED_FILE') {
        return res.status(400).json({
          success: false,
          error: 'Unexpected file field',
          message: `Unexpected file field: ${err.field}`
        });
      }
      
      // Handle file type errors
      if (err.message && err.message.includes('Unsupported file type')) {
        return res.status(400).json({
          success: false,
          error: 'Unsupported file type',
          message: err.message
        });
      }
      
      // Generic multer error
      return res.status(400).json({
        success: false,
        error: 'File upload error',
        message: err.message || 'Unknown upload error'
      });
    }
    
    next();
  });
}, validateUpload, async (req, res) => {
  try {
    const files = req.files as Express.Multer.File[];
    
    if (!files || files.length === 0) {
      return res.status(400).json({
        success: false,
        error: 'No files received',
        message: 'No files were received by the server'
      });
    }
    
    console.log(`Processing ${files.length} uploaded files`);
    const uploadedDocuments = [];

    for (const file of files) {
      console.log(`Processing file: ${file.originalname}, size: ${file.size} bytes, type: ${file.mimetype}`);
      
      // Extract title from filename or use provided title
      const title = req.body.title || path.basename(file.originalname, path.extname(file.originalname));
      const source = req.body.source || `Uploaded file: ${file.originalname}`;

      // Determine source type based on MIME type
      let sourceType = 'document';
      if (FileProcessor.isPdfFile(file.mimetype)) {
        sourceType = 'pdf';
      } else if (FileProcessor.isImageFile(file.mimetype)) {
        sourceType = 'image';
      } else if (file.mimetype.includes('text') || file.mimetype.includes('json')) {
        sourceType = 'text';
      }

      // Read text content for text files
      let content = 'Processing...';
      if (FileProcessor.isTextFile(file.mimetype)) {
        try {
          content = await FileProcessor.readTextFile(file.path);
        } catch (error) {
          console.warn(`Failed to read text file ${file.originalname}:`, error);
          content = 'Failed to read file content';
        }
      }

      // Create document record
      try {
        const document = await storage.createDocument({
          title,
          content,
          source,
          sourceType,
          url: null,
          metadata: {
            originalName: file.originalname,
            uploadedAt: new Date().toISOString(),
            mimeType: file.mimetype,
            size: file.size
          },
          embedding: null,
          filePath: file.path,
          fileName: file.originalname,
          fileSize: file.size,
          mimeType: file.mimetype,
          processingStatus: FileProcessor.requiresOCR(file.mimetype) ? 'pending' : 'completed'
        } as any);

        console.log(`Successfully created document record for ${file.originalname} with ID ${document.id}`);
        uploadedDocuments.push(document);
      } catch (dbError) {
        console.error(`Failed to create document record for ${file.originalname}:`, dbError);
        throw new Error(`Database error while saving ${file.originalname}: ${dbError instanceof Error ? dbError.message : 'Unknown database error'}`);
      }
    }

    res.status(201).json({
      success: true,
      message: `Successfully uploaded ${uploadedDocuments.length} document(s)`,
      documents: uploadedDocuments
    });

  } catch (error) {
    console.error('File upload error:', error);
    res.status(500).json({
      success: false,
      error: 'File upload failed',
      message: error instanceof Error ? error.message : 'Unknown error occurred'
    });
  }
});

/**
 * Process a single document
 */
router.post('/process/:id', async (req, res) => {
  try {
    const documentId = parseInt(req.params.id);
    const requestBody = req.body || {};
    const operations = requestBody.operations || ['extract_text'];
    const indexName = requestBody.indexName;

    const document = await storage.getDocument(documentId);
    if (!document) {
      return res.status(404).json({
        success: false,
        error: 'Document not found'
      });
    }

    // Update status to processing
    await storage.updateDocument(documentId, { 
      processingStatus: 'processing' 
    } as any);

    // Process the document
    const result = await documentProcessor.processDocument(document, operations);

    if (result.success) {
      // Update document with results
      const updateData: any = {
        processingStatus: 'completed',
        processedAt: new Date()
      };

      if (result.extractedText && result.extractedText !== document.content) {
        updateData.content = result.extractedText;
      }

      if (result.embeddings) {
        updateData.embedding = JSON.stringify(result.embeddings);
      }

      if (result.modalTaskId) {
        updateData.modalTaskId = result.modalTaskId;
      }

      const updatedDocument = await storage.updateDocument(documentId, updateData);

      res.json({
        success: true,
        message: 'Document processed successfully',
        document: updatedDocument,
        processingTime: result.processingTime
      });

    } else {
      // Update status to failed
      await storage.updateDocument(documentId, { 
        processingStatus: 'failed' 
      } as any);

      res.status(500).json({
        success: false,
        error: 'Document processing failed',
        message: result.error,
        processingTime: result.processingTime
      });
    }

  } catch (error) {
    console.error('Document processing error:', error);
    res.status(500).json({
      success: false,
      error: 'Processing request failed',
      message: error instanceof Error ? error.message : 'Unknown error occurred'
    });
  }
});

/**
 * Batch process multiple documents
 */
router.post('/process/batch', async (req, res) => {
  try {
    const { documentIds, operations = ['extract_text'], indexName } = batchProcessingSchema.parse(req.body);

    // Fetch all documents
    const documents = await Promise.all(
      documentIds.map(id => storage.getDocument(id))
    );

    const validDocuments = documents.filter(doc => doc !== undefined) as any[];
    
    if (validDocuments.length === 0) {
      return res.status(404).json({
        success: false,
        error: 'No valid documents found'
      });
    }

    // Update all documents to processing status
    await Promise.all(
      validDocuments.map(doc => 
        storage.updateDocument(doc.id, { processingStatus: 'processing' } as any)
      )
    );

    // Process documents in batch
    const batchResult = await documentProcessor.batchProcessDocuments(validDocuments, operations);

    // Update documents with results
    const updatePromises = batchResult.results.map(async (result) => {
      const updateData: any = {
        processingStatus: result.success ? 'completed' : 'failed',
        processedAt: new Date()
      };

      if (result.success) {
        if (result.extractedText) {
          updateData.content = result.extractedText;
        }
        if (result.embeddings) {
          updateData.embedding = JSON.stringify(result.embeddings);
        }
      }

      return storage.updateDocument(result.documentId, updateData);
    });

    await Promise.all(updatePromises);

    res.json({
      success: true,
      message: `Batch processing completed: ${batchResult.processedCount} successful, ${batchResult.failedCount} failed`,
      processedCount: batchResult.processedCount,
      failedCount: batchResult.failedCount,
      results: batchResult.results,
      totalProcessingTime: batchResult.totalProcessingTime
    });

  } catch (error) {
    console.error('Batch processing error:', error);
    res.status(500).json({
      success: false,
      error: 'Batch processing failed',
      message: error instanceof Error ? error.message : 'Unknown error occurred'
    });
  }
});

/**
 * Build vector index from documents
 */
router.post('/index/build', async (req, res) => {
  try {
    const { documentIds, indexName = 'research_papers_clean_v2' } = req.body;

    let documents;
    if (documentIds && Array.isArray(documentIds)) {
      // Build index from specific documents
      const fetchedDocs = await Promise.all(
        documentIds.map((id: number) => storage.getDocument(id))
      );
      documents = fetchedDocs.filter(doc => doc !== undefined) as any[];
    } else {
      // Build index from all completed documents
      documents = await storage.getDocuments(1000, 0);
      documents = documents.filter(doc => doc.processingStatus === 'completed');
    }

    if (documents.length === 0) {
      return res.status(400).json({
        success: false,
        error: 'No processed documents available for indexing'
      });
    }

    const result = await documentProcessor.buildVectorIndex(documents, indexName);

    if (result.success) {
      res.json({
        success: true,
        message: 'Vector index built successfully',
        indexName: result.indexName,
        documentCount: result.documentCount
      });
    } else {
      res.status(500).json({
        success: false,
        error: 'Index building failed',
        message: result.error
      });
    }

  } catch (error) {
    console.error('Index building error:', error);
    res.status(500).json({
      success: false,
      error: 'Index building request failed',
      message: error instanceof Error ? error.message : 'Unknown error occurred'
    });
  }
});

/**
 * Search vector index
 */
router.post('/search/vector', async (req, res) => {
  try {
    const { query, indexName = 'research_papers_clean_v2', maxResults = 10 } = req.body;

    if (!query || typeof query !== 'string') {
      return res.status(400).json({
        success: false,
        error: 'Query parameter is required and must be a string'
      });
    }

    const result = await documentProcessor.searchVectorIndex(query, indexName, maxResults);

    if (result.success) {
      res.json({
        success: true,
        query,
        indexName,
        results: result.results,
        totalFound: result.results?.length || 0
      });
    } else {
      res.status(500).json({
        success: false,
        error: 'Vector search failed',
        message: result.error
      });
    }

  } catch (error) {
    console.error('Vector search error:', error);
    res.status(500).json({
      success: false,
      error: 'Vector search request failed',
      message: error instanceof Error ? error.message : 'Unknown error occurred'
    });
  }
});

/**
 * Get document processing status
 */
router.get('/status/:id', async (req, res) => {
  try {
    const documentId = parseInt(req.params.id);
    const document = await storage.getDocument(documentId);

    if (!document) {
      return res.status(404).json({
        success: false,
        error: 'Document not found'
      });
    }

    res.json({
      success: true,
      document: {
        id: document.id,
        title: document.title,
        processingStatus: (document as any).processingStatus,
        modalTaskId: (document as any).modalTaskId,
        createdAt: document.createdAt,
        processedAt: (document as any).processedAt,
        fileSize: (document as any).fileSize,
        mimeType: (document as any).mimeType
      }
    });

  } catch (error) {
    console.error('Status check error:', error);
    res.status(500).json({
      success: false,
      error: 'Status check failed',
      message: error instanceof Error ? error.message : 'Unknown error occurred'
    });
  }
});

/**
 * Get all documents with filtering
 */
router.get('/list', async (req, res) => {
  try {
    const { 
      limit = 50, 
      offset = 0, 
      sourceType, 
      processingStatus 
    } = req.query;

    let documents;
    
    if (sourceType) {
      documents = await storage.getDocumentsBySourceType(sourceType as string);
    } else if (processingStatus && 'getDocumentsByProcessingStatus' in storage) {
      documents = await (storage as any).getDocumentsByProcessingStatus(processingStatus as string);
    } else {
      documents = await storage.getDocuments(Number(limit), Number(offset));
    }

    res.json({
      success: true,
      documents,
      totalCount: documents.length
    });

  } catch (error) {
    console.error('Document list error:', error);
    res.status(500).json({
      success: false,
      error: 'Failed to retrieve documents',
      message: error instanceof Error ? error.message : 'Unknown error occurred'
    });
  }
});

/**
 * Delete a document and its file
 */
router.delete('/:id', async (req, res) => {
  try {
    const documentId = parseInt(req.params.id);
    const document = await storage.getDocument(documentId);

    if (!document) {
      return res.status(404).json({
        success: false,
        error: 'Document not found'
      });
    }

    // Delete file if it exists
    if ((document as any).filePath) {
      await FileProcessor.deleteFile((document as any).filePath);
    }

    // Delete document record
    const deleted = await storage.deleteDocument(documentId);

    if (deleted) {
      res.json({
        success: true,
        message: 'Document deleted successfully'
      });
    } else {
      res.status(500).json({
        success: false,
        error: 'Failed to delete document'
      });
    }

  } catch (error) {
    console.error('Document deletion error:', error);
    res.status(500).json({
      success: false,
      error: 'Document deletion failed',
      message: error instanceof Error ? error.message : 'Unknown error occurred'
    });
  }
});

export default router;