Class: Aidp::Database::Repositories::PromptFeedbackRepository
- Inherits:
-
Aidp::Database::Repository
- Object
- Aidp::Database::Repository
- Aidp::Database::Repositories::PromptFeedbackRepository
- Defined in:
- lib/aidp/database/repositories/prompt_feedback_repository.rb
Overview
Repository for prompt_feedback table Tracks prompt template effectiveness for AGD evolution
Constant Summary collapse
- VALID_OUTCOMES =
%w[success failure abandoned timeout].freeze
- VALID_REACTIONS =
%w[positive negative neutral].freeze
Instance Attribute Summary
Attributes inherited from Aidp::Database::Repository
Instance Method Summary collapse
-
#any? ⇒ Boolean
Check if any feedback exists.
-
#clear ⇒ Hash
Clear all feedback.
-
#initialize(project_dir: Dir.pwd) ⇒ PromptFeedbackRepository
constructor
A new instance of PromptFeedbackRepository.
-
#list(template_id: nil, outcome: nil, limit: 100) ⇒ Array<Hash>
List feedback entries with filtering.
-
#record(record) ⇒ Hash
Record feedback for a prompt template.
-
#summary(template_id:) ⇒ Hash
Get summary statistics for a template.
-
#templates_needing_improvement(min_uses: 5, max_success_rate: 70.0) ⇒ Array<Hash>
Find templates that need improvement.
Constructor Details
#initialize(project_dir: Dir.pwd) ⇒ PromptFeedbackRepository
Returns a new instance of PromptFeedbackRepository.
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# File 'lib/aidp/database/repositories/prompt_feedback_repository.rb', line 14 def initialize(project_dir: Dir.pwd) super(project_dir: project_dir, table_name: "prompt_feedback") end |
Instance Method Details
#any? ⇒ Boolean
Check if any feedback exists
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# File 'lib/aidp/database/repositories/prompt_feedback_repository.rb', line 222 def any? count = query_value( "SELECT COUNT(*) FROM prompt_feedback WHERE project_dir = ?", [project_dir] ) || 0 count.positive? end |
#clear ⇒ Hash
Clear all feedback
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# File 'lib/aidp/database/repositories/prompt_feedback_repository.rb', line 207 def clear count = query_value( "SELECT COUNT(*) FROM prompt_feedback WHERE project_dir = ?", [project_dir] ) || 0 execute("DELETE FROM prompt_feedback WHERE project_dir = ?", [project_dir]) Aidp.log_debug("prompt_feedback_repository", "cleared", count: count) {success: true, count: count} end |
#list(template_id: nil, outcome: nil, limit: 100) ⇒ Array<Hash>
List feedback entries with filtering
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# File 'lib/aidp/database/repositories/prompt_feedback_repository.rb', line 130 def list(template_id: nil, outcome: nil, limit: 100) conditions = ["project_dir = ?"] params = [project_dir] if template_id conditions << "template_id = ?" params << template_id end if outcome conditions << "outcome = ?" params << outcome.to_s end params << limit rows = query( <<~SQL, SELECT * FROM prompt_feedback WHERE #{conditions.join(" AND ")} ORDER BY created_at DESC, id DESC LIMIT ? SQL params ) rows.map { |row| deserialize_feedback(row) } end |
#record(record) ⇒ Hash
Record feedback for a prompt template
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# File 'lib/aidp/database/repositories/prompt_feedback_repository.rb', line 28 def record(record) execute( insert_sql([ :project_dir, :template_id, :outcome, :iterations, :user_reaction, :suggestions, :context, :aidp_version ]), [ project_dir, record[:template_id], record[:outcome].to_s, record[:iterations], record[:user_reaction]&.to_s, serialize_json(record[:suggestions]), serialize_json(record[:context] || {}), Aidp::VERSION ] ) Aidp.log_debug("prompt_feedback_repository", "recorded", template_id: record[:template_id], outcome: record[:outcome]) {success: true, id: last_insert_row_id} rescue => e Aidp.log_debug("prompt_feedback_repository", "record_failed", template_id: record[:template_id], error: e.) {success: false, error: e.} end |
#summary(template_id:) ⇒ Hash
Get summary statistics for a template
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# File 'lib/aidp/database/repositories/prompt_feedback_repository.rb', line 60 def summary(template_id:) total = query_value( "SELECT COUNT(*) FROM prompt_feedback WHERE project_dir = ? AND template_id = ?", [project_dir, template_id] ) || 0 return empty_summary(template_id) if total.zero? success_count = query_value( "SELECT COUNT(*) FROM prompt_feedback WHERE project_dir = ? AND template_id = ? AND outcome = 'success'", [project_dir, template_id] ) || 0 failure_count = query_value( "SELECT COUNT(*) FROM prompt_feedback WHERE project_dir = ? AND template_id = ? AND outcome = 'failure'", [project_dir, template_id] ) || 0 avg_iterations = query_value( "SELECT AVG(iterations) FROM prompt_feedback WHERE project_dir = ? AND template_id = ? AND iterations IS NOT NULL", [project_dir, template_id] ) positive_reactions = query_value( "SELECT COUNT(*) FROM prompt_feedback WHERE project_dir = ? AND template_id = ? AND user_reaction = 'positive'", [project_dir, template_id] ) || 0 negative_reactions = query_value( "SELECT COUNT(*) FROM prompt_feedback WHERE project_dir = ? AND template_id = ? AND user_reaction = 'negative'", [project_dir, template_id] ) || 0 # Get suggestions suggestion_rows = query( "SELECT suggestions FROM prompt_feedback WHERE project_dir = ? AND template_id = ? AND suggestions IS NOT NULL", [project_dir, template_id] ) all_suggestions = suggestion_rows.flat_map { |r| deserialize_json(r["suggestions"]) || [] }.compact.uniq first_row = query_one( "SELECT created_at FROM prompt_feedback WHERE project_dir = ? AND template_id = ? ORDER BY created_at ASC LIMIT 1", [project_dir, template_id] ) last_row = query_one( "SELECT created_at FROM prompt_feedback WHERE project_dir = ? AND template_id = ? ORDER BY created_at DESC LIMIT 1", [project_dir, template_id] ) { template_id: template_id, total_uses: total, success_rate: (total > 0) ? (success_count.to_f / total * 100).round(1) : 0, success_count: success_count, failure_count: failure_count, avg_iterations: avg_iterations&.round(1), positive_reactions: positive_reactions, negative_reactions: negative_reactions, common_suggestions: all_suggestions.take(5), first_use: first_row&.dig("created_at"), last_use: last_row&.dig("created_at") } end |
#templates_needing_improvement(min_uses: 5, max_success_rate: 70.0) ⇒ Array<Hash>
Find templates that need improvement
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# File 'lib/aidp/database/repositories/prompt_feedback_repository.rb', line 164 def templates_needing_improvement(min_uses: 5, max_success_rate: 70.0) # Use a single aggregated query instead of N+1 queries rows = query( <<~SQL, SELECT template_id, COUNT(*) as total_uses, SUM(CASE WHEN outcome = 'success' THEN 1 ELSE 0 END) as success_count, SUM(CASE WHEN outcome = 'failure' THEN 1 ELSE 0 END) as failure_count, AVG(CASE WHEN iterations IS NOT NULL THEN iterations END) as avg_iterations, SUM(CASE WHEN user_reaction = 'positive' THEN 1 ELSE 0 END) as positive_reactions, SUM(CASE WHEN user_reaction = 'negative' THEN 1 ELSE 0 END) as negative_reactions FROM prompt_feedback WHERE project_dir = ? GROUP BY template_id HAVING COUNT(*) >= ? SQL [project_dir, min_uses] ) rows.filter_map do |row| total = row["total_uses"] success_count = row["success_count"] success_rate = (total > 0) ? (success_count.to_f / total * 100).round(1) : 0 next if success_rate > max_success_rate { template_id: row["template_id"], total_uses: total, success_rate: success_rate, success_count: success_count, failure_count: row["failure_count"], avg_iterations: row["avg_iterations"]&.round(1), positive_reactions: row["positive_reactions"], negative_reactions: row["negative_reactions"] } end.sort_by { |s| s[:success_rate] } end |