Class: Ragdoll::SearchController

Inherits:
ApplicationController show all
Defined in:
app/controllers/ragdoll/search_controller.rb

Instance Method Summary collapse

Instance Method Details

#index ⇒ Object 



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
 
# File 'app/controllers/ragdoll/search_controller.rb', line 7

def index
  # Load popular queries for sidebar
  @popular_queries = ::Ragdoll::Search.group(:query).count.sort_by { |query, count| -count }.first(10).to_h
  
  # Check if we're reconstructing a previous search
  if params[:search_id].present?
    begin
      previous_search = ::Ragdoll::Search.find(params[:search_id])
      @reconstructed_search = previous_search
      
      # Extract stored form parameters
      search_options = previous_search.search_options.is_a?(Hash) ? previous_search.search_options : 
                      (previous_search.search_options.present? ? JSON.parse(previous_search.search_options) : {})
      search_filters = previous_search.search_filters.is_a?(Hash) ? previous_search.search_filters : 
                      (previous_search.search_filters.present? ? JSON.parse(previous_search.search_filters) : {})
      
      form_params = search_options.dig('form_params') || {}
      
      # Reconstruct query and filters from stored search
      @query = previous_search.query
      @filters = {
        document_type: form_params['document_type'] || search_filters['document_type'],
        status: form_params['status'] || search_filters['status'],
        limit: form_params['limit'] || search_filters['limit'] || 10,
        threshold: form_params['threshold'] || search_filters['threshold'] || 0.001
      }
      
      # Reconstruct boolean search options
      @use_similarity_search = form_params['use_similarity_search'] || search_options['use_similarity'] || 'true'
      @use_fulltext_search = form_params['use_fulltext_search'] || search_options['use_fulltext'] || 'true'
      
      ::Rails.logger.debug "🔍 Reconstructed search from ID #{params[:search_id]}: #{@query}"
      
    rescue ActiveRecord::RecordNotFound
      ::Rails.logger.warn "🔍 Search ID #{params[:search_id]} not found"
      # Fall back to default behavior
    rescue => e
      ::Rails.logger.error "🔍 Error reconstructing search: #{e.message}"
      # Fall back to default behavior
    end
  end
  
  # Default values if not reconstructing a search
  unless @reconstructed_search
    @filters = {
      document_type: params[:document_type],
      status: params[:status],
      limit: params[:limit]&.to_i || 10,
      threshold: params[:threshold]&.to_f || (::Rails.env.development? ? 0.001 : 0.7)
    }
    @query = params[:query]
    @use_similarity_search = params[:use_similarity_search] || 'true'
    @use_fulltext_search = params[:use_fulltext_search] || 'true'
  end
  
  @search_performed = false
end

#search ⇒ Object 



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
 
# File 'app/controllers/ragdoll/search_controller.rb', line 65

def search
  ::Rails.logger.debug "🔍 Search called with params: #{params.inspect}"
  ::Rails.logger.debug "🔍 Use similarity search: #{params[:use_similarity_search]}"
  ::Rails.logger.debug "🔍 Use fulltext search: #{params[:use_fulltext_search]}"
  @query = params[:query]
  @filters = {
    document_type: params[:document_type],
    status: params[:status],
    limit: params[:limit]&.to_i || 10,
    threshold: params[:threshold]&.to_f || (::Rails.env.development? ? 0.001 : 0.7)  # Much lower threshold for development
  }
  ::Rails.logger.debug "🔍 Query: #{@query.inspect}, Filters: #{@filters.inspect}"
  
  # Initialize data needed for the view sidebar - load popular queries
  @popular_queries = ::Ragdoll::Search.group(:query).count.sort_by { |query, count| -count }.first(10).to_h
  
  if @query.present?
    begin
      # Check which search types are enabled (default to both if neither param is set)
      use_similarity = params[:use_similarity_search] != 'false'
      use_fulltext = params[:use_fulltext_search] != 'false'
      
      @detailed_results = []
      @below_threshold_results = []
      @similarity_search_attempted = false
      @similarity_threshold_used = @filters[:threshold]
      
      # Perform similarity search if enabled
      if use_similarity
        begin
          search_params = {
            query: @query,
            limit: @filters[:limit],
            threshold: @filters[:threshold]
          }
          
          # Add document type filter if specified
          # NOTE: Document type filtering is deprecated in unified text-based architecture
          # All media types are now converted to text for unified cross-modal search
          if @filters[:document_type].present?
            search_params[:document_type] = @filters[:document_type]
            ::Rails.logger.warn "⚠️ Document type filtering is deprecated in unified text-based RAG architecture"
          end
          
          # Add status filter if specified
          if @filters[:status].present?
            search_params[:status] = @filters[:status]
          end
          
          search_response = ::Ragdoll.search(**search_params.merge(track_search: false))
          
          # The search returns a hash with :results and :statistics
          @results = search_response.is_a?(Hash) ? search_response[:results] || [] : []
          @similarity_stats = search_response.is_a?(Hash) ? search_response[:statistics] || {} : {}
          
          # Add similarity search results
          @results.each do |result|
            if result[:embedding_id] && result[:document_id]
              embedding = ::Ragdoll::Embedding.find(result[:embedding_id])
              document = ::Ragdoll::Document.find(result[:document_id])
              @detailed_results << {
                embedding: embedding,
                document: document,
                similarity: result[:similarity],
                content: result[:content],
                usage_count: embedding.usage_count,
                last_used: embedding.returned_at,
                search_type: 'similarity'
              }
            end
          end
          
          # Mark that similarity search was attempted
          @similarity_search_attempted = true
          
          # Always gather statistics about all possible matches when similarity search returns limited results
          similarity_results_count = @detailed_results.select { |r| r[:search_type] == 'similarity' }.count
          ::Rails.logger.debug "🔍 Similarity results found: #{similarity_results_count}"
          
          # Gather statistics if we have no results OR if the threshold is relatively high (> 0.1)
          # This ensures we provide helpful feedback even when the search succeeds with a lower threshold
          should_gather_stats = similarity_results_count == 0 || @filters[:threshold] > 0.1
          ::Rails.logger.debug "🔍 Should gather stats: #{should_gather_stats} (results: #{similarity_results_count}, threshold: #{@filters[:threshold]})"
          
          if should_gather_stats
            ::Rails.logger.debug "🔍 Gathering below-threshold statistics..."
            begin
              # Search again with minimal threshold to get all potential matches
              stats_params = search_params.merge(threshold: 0.0, limit: 100)
              stats_response = ::Ragdoll.search(**stats_params)
              
              ::Rails.logger.debug "🔍 Stats response: #{stats_response.inspect}"
              
              if stats_response.is_a?(Hash) && stats_response[:results]
                all_similarities = []
                stats_response[:results].each do |result|
                  if result[:similarity]
                    all_similarities << result[:similarity]
                    # Store below-threshold results
                    if result[:similarity] < @filters[:threshold] && result[:similarity] > 0
                      @below_threshold_results << {
                        document_id: result[:document_id],
                        similarity: result[:similarity],
                        content: result[:content]
                      }
                    end
                  end
                end
                
                ::Rails.logger.debug "🔍 All similarities collected: #{all_similarities.inspect}"
                ::Rails.logger.debug "🔍 Threshold: #{@filters[:threshold]}"
                
                # Calculate statistics for display
                if all_similarities.any?
                  below_threshold_count = all_similarities.count { |s| s < @filters[:threshold] && s > 0 }
                  @below_threshold_stats = {
                    count: below_threshold_count,
                    highest: all_similarities.max,
                    lowest: all_similarities.select { |s| s > 0 }.min,
                    average: all_similarities.sum / all_similarities.size.to_f,
                    suggested_threshold: all_similarities.select { |s| s > 0 }.min.round(3)
                  }
                  ::Rails.logger.debug "🔍 Below threshold stats: #{@below_threshold_stats.inspect}"
                else
                  ::Rails.logger.debug "🔍 No similarities found in stats response"
                end
              else
                ::Rails.logger.debug "🔍 Stats response was not in expected format or had no results"
              end
            rescue => stats_error
              ::Rails.logger.error "Stats gathering error: #{stats_error.message}"
            end
          end
          
        rescue => e
          ::Rails.logger.error "Similarity search error: #{e.message}"
          # Continue with fulltext search even if similarity search fails
        end
      end
      
      # Perform full-text search if enabled
      if use_fulltext
        fulltext_params = {
          limit: @filters[:limit], 
          threshold: @filters[:threshold]
        }
        
        # Add document type filter if specified
        # NOTE: Document type filtering is deprecated in unified text-based architecture
        # All media types are now converted to text for unified cross-modal search
        if @filters[:document_type].present?
          fulltext_params[:document_type] = @filters[:document_type]
          ::Rails.logger.warn "⚠️ Document type filtering is deprecated in unified text-based RAG architecture"
        end
        
        # Add status filter if specified
        if @filters[:status].present?
          fulltext_params[:status] = @filters[:status]
        end
        
        fulltext_results = ::Ragdoll::Document.search_content(@query, **fulltext_params)
        
        # Collect fulltext similarities for statistics
        fulltext_similarities = []
        fulltext_results.each do |document|
          # Avoid duplicates if document was already found in similarity search
          unless @detailed_results.any? { |r| r[:document].id == document.id }
            # Use the fulltext_similarity score from the enhanced search
            fulltext_similarity = document.respond_to?(:fulltext_similarity) ? document.fulltext_similarity.to_f : 0.0
            fulltext_similarities << fulltext_similarity if fulltext_similarity > 0
            
            @detailed_results << {
              document: document,
              content: document.metadata&.dig('summary') || document.title || "No summary available",
              search_type: 'fulltext',
              similarity: fulltext_similarity
            }
          end
        end
        
        # Gather fulltext statistics if we have few results OR if threshold is high (> 0.1)
        # This ensures consistent feedback regardless of which search types are enabled
        fulltext_results_count = @detailed_results.select { |r| r[:search_type] == 'fulltext' }.count
        should_gather_fulltext_stats = fulltext_results_count == 0 || @filters[:threshold] > 0.1
        
        if should_gather_fulltext_stats && !@below_threshold_stats
          ::Rails.logger.debug "🔍 Gathering fulltext below-threshold statistics..."
          begin
            # Search again with lower threshold to get all potential matches
            stats_params = fulltext_params.merge(threshold: 0.0, limit: 100)
            all_fulltext_results = ::Ragdoll::Document.search_content(@query, **stats_params)
            
            all_fulltext_similarities = []
            all_fulltext_results.each do |document|
              similarity = document.respond_to?(:fulltext_similarity) ? document.fulltext_similarity.to_f : 0.0
              if similarity > 0
                all_fulltext_similarities << similarity
                # Store below-threshold results
                if similarity < @filters[:threshold]
                  @below_threshold_results << {
                    document_id: document.id,
                    similarity: similarity,
                    content: document.metadata&.dig('summary') || document.title || "No summary available"
                  }
                end
              end
            end
            
            ::Rails.logger.debug "🔍 Fulltext similarities collected: #{all_fulltext_similarities.inspect}"
            ::Rails.logger.debug "🔍 Threshold: #{@filters[:threshold]}"
            
            # Calculate statistics for display
            if all_fulltext_similarities.any?
              below_threshold_count = all_fulltext_similarities.count { |s| s < @filters[:threshold] && s > 0 }
              @below_threshold_stats = {
                count: below_threshold_count,
                highest: all_fulltext_similarities.max,
                lowest: all_fulltext_similarities.select { |s| s > 0 }.min,
                average: all_fulltext_similarities.sum / all_fulltext_similarities.size.to_f,
                suggested_threshold: all_fulltext_similarities.select { |s| s > 0 }.min.round(3)
              }
              ::Rails.logger.debug "🔍 Fulltext below threshold stats: #{@below_threshold_stats.inspect}"
            else
              ::Rails.logger.debug "🔍 No fulltext similarities found in stats response"
            end
          rescue => stats_error
            ::Rails.logger.error "Fulltext stats gathering error: #{stats_error.message}"
          end
        end
      end
      
      # Sort results by similarity score if available, otherwise by relevance
      @detailed_results.sort_by! { |r| r[:similarity] ? -r[:similarity] : 0 }
      
      # Save search for analytics
      search_type = case
                   when use_similarity && use_fulltext then 'hybrid'
                   when use_similarity then 'similarity'
                   when use_fulltext then 'fulltext'
                   else 'unknown'
                   end
      
      similarity_results = @detailed_results.select { |r| r[:search_type] == 'similarity' }
      similarities = similarity_results.map { |r| r[:similarity] }.compact
      
      # Save search for analytics without query embedding (which is optional)
      begin
        ::Ragdoll::Search.create!(
          query: @query,
          search_type: search_type,
          results_count: @detailed_results.count,
          max_similarity_score: similarities.any? ? similarities.max : nil,
          min_similarity_score: similarities.any? ? similarities.min : nil,
          avg_similarity_score: similarities.any? ? (similarities.sum / similarities.size.to_f) : nil,
          search_filters: @filters.to_json,
          search_options: {
            threshold_used: @filters[:threshold],
            similarity_results: similarity_results.count,
            fulltext_results: @detailed_results.select { |r| r[:search_type] == 'fulltext' }.count,
            use_similarity: use_similarity,
            use_fulltext: use_fulltext,
            # Store original form parameters for reconstruction
            form_params: {
              use_similarity_search: params[:use_similarity_search],
              use_fulltext_search: params[:use_fulltext_search],
              limit: @filters[:limit],
              threshold: @filters[:threshold],
              document_type: @filters[:document_type],
              status: @filters[:status]
            }
          }.to_json
        )
        ::Rails.logger.debug "🔍 Search saved successfully"
      rescue => e
        ::Rails.logger.error "🔍 Failed to save search: #{e.message}"
        # Continue without failing the search
      end
      
      ::Rails.logger.debug "🔍 Search completed successfully. Results count: #{@detailed_results.count}"
      ::Rails.logger.debug "🔍 Similarity search attempted: #{@similarity_search_attempted}"
      ::Rails.logger.debug "🔍 Below threshold stats: #{@below_threshold_stats.inspect}"
      ::Rails.logger.debug "🔍 Threshold used: #{@similarity_threshold_used}"
      @search_performed = true
      
    rescue => e
      ::Rails.logger.error "🔍 Search error: #{e.message}"
      ::Rails.logger.error e.backtrace.join("\n")
      @error = e.message
      @search_performed = false
    end
  else
    @search_performed = false
  end
  
  respond_to do |format|
    format.html { render :index }
    format.json { 
      json_response = { results: @detailed_results, error: @error }
      if @similarity_search_attempted && @similarity_stats
        json_response[:similarity_statistics] = {
          threshold_used: @similarity_threshold_used,
          stats: @similarity_stats
        }
      end
      render json: json_response
    }
  end
end