chore: import upstream snapshot with attribution
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-- Schema for tracking CLI command usage in Neon Database
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-- Main table: command execution logs
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CREATE TABLE IF NOT EXISTS command_usage_logs (
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id SERIAL PRIMARY KEY,
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command_name VARCHAR(100) NOT NULL,
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cli_version VARCHAR(50),
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node_version VARCHAR(50),
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platform VARCHAR(50),
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arch VARCHAR(50),
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execution_timestamp TIMESTAMP WITH TIME ZONE DEFAULT NOW(),
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session_id VARCHAR(100),
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metadata JSONB,
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created_at TIMESTAMP WITH TIME ZONE DEFAULT NOW()
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);
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-- Table: aggregated command statistics
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CREATE TABLE IF NOT EXISTS command_usage_stats (
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id SERIAL PRIMARY KEY,
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command_name VARCHAR(100) NOT NULL UNIQUE,
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total_executions BIGINT DEFAULT 0,
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last_execution TIMESTAMP WITH TIME ZONE,
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first_execution TIMESTAMP WITH TIME ZONE,
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unique_sessions BIGINT DEFAULT 0,
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updated_at TIMESTAMP WITH TIME ZONE DEFAULT NOW()
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);
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-- Indexes for optimization
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CREATE INDEX idx_command_logs_name ON command_usage_logs(command_name);
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CREATE INDEX idx_command_logs_timestamp ON command_usage_logs(execution_timestamp DESC);
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CREATE INDEX idx_command_logs_session ON command_usage_logs(session_id);
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CREATE INDEX idx_command_logs_platform ON command_usage_logs(platform);
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CREATE INDEX idx_command_stats_name ON command_usage_stats(command_name);
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-- Function to update command stats automatically
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CREATE OR REPLACE FUNCTION update_command_stats()
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RETURNS TRIGGER AS $$
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BEGIN
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-- Upsert command statistics
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INSERT INTO command_usage_stats (
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command_name,
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total_executions,
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last_execution,
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first_execution,
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unique_sessions
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)
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VALUES (
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NEW.command_name,
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1,
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NEW.execution_timestamp,
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NEW.execution_timestamp,
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1
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)
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ON CONFLICT (command_name) DO UPDATE SET
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total_executions = command_usage_stats.total_executions + 1,
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last_execution = NEW.execution_timestamp,
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unique_sessions = (
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SELECT COUNT(DISTINCT session_id)
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FROM command_usage_logs
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WHERE command_name = NEW.command_name
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),
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updated_at = NOW();
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RETURN NEW;
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END;
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$$ LANGUAGE plpgsql;
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-- Trigger to update stats on new command log
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CREATE TRIGGER trigger_update_command_stats
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AFTER INSERT ON command_usage_logs
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FOR EACH ROW
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EXECUTE FUNCTION update_command_stats();
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-- View: Daily command usage
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CREATE OR REPLACE VIEW daily_command_usage AS
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SELECT
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command_name,
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DATE(execution_timestamp) as date,
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COUNT(*) as executions,
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COUNT(DISTINCT session_id) as unique_users,
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COUNT(DISTINCT platform) as platforms_count
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FROM command_usage_logs
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GROUP BY command_name, DATE(execution_timestamp)
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ORDER BY date DESC, executions DESC;
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-- View: Platform distribution
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CREATE OR REPLACE VIEW platform_distribution AS
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SELECT
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platform,
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COUNT(*) as total_executions,
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COUNT(DISTINCT command_name) as unique_commands,
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COUNT(DISTINCT session_id) as unique_users
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FROM command_usage_logs
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GROUP BY platform
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ORDER BY total_executions DESC;
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-- View: Most popular commands (last 30 days)
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CREATE OR REPLACE VIEW popular_commands_30d AS
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SELECT
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command_name,
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COUNT(*) as executions,
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COUNT(DISTINCT session_id) as unique_users,
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MAX(execution_timestamp) as last_used
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FROM command_usage_logs
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WHERE execution_timestamp > NOW() - INTERVAL '30 days'
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GROUP BY command_name
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ORDER BY executions DESC;
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-- Comments for documentation
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COMMENT ON TABLE command_usage_logs IS 'Raw logs of every CLI command execution';
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COMMENT ON TABLE command_usage_stats IS 'Aggregated statistics for each command';
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COMMENT ON VIEW daily_command_usage IS 'Daily breakdown of command usage';
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COMMENT ON VIEW platform_distribution IS 'Usage distribution across platforms (macOS, Linux, Windows)';
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COMMENT ON VIEW popular_commands_30d IS 'Most popular commands in the last 30 days';
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