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egutierrez 7e3c1ede79 feat: funciones core — detect_cycle, generate_id, rewrite_rule
Tres funciones puras para el dominio core: detección de ciclos en grafos
dirigidos (DFS), generación de IDs determinísticos, y reescritura de
reglas con pattern matching.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-30 14:24:00 +02:00

59 lines
1.8 KiB
Go

package core
import (
"fmt"
"regexp"
"strings"
)
var rewriteFieldPattern = regexp.MustCompile(`\b([a-zA-Z_][a-zA-Z0-9_]*)\b`)
var rewriteSQLKeywords = map[string]bool{
"AND": true, "OR": true, "NOT": true, "IS": true, "NULL": true,
"IN": true, "BETWEEN": true, "LIKE": true, "GLOB": true,
"TRUE": true, "FALSE": true, "CASE": true, "WHEN": true,
"THEN": true, "ELSE": true, "END": true, "SELECT": true,
"FROM": true, "WHERE": true, "AS": true, "CAST": true,
}
var rewriteSQLFunctions = map[string]bool{
"json_extract": true, "datetime": true, "now": true,
"abs": true, "avg": true, "count": true, "max": true, "min": true,
"sum": true, "total": true, "length": true, "typeof": true,
"coalesce": true, "ifnull": true, "nullif": true,
"upper": true, "lower": true, "trim": true, "replace": true,
"substr": true, "instr": true, "round": true,
}
// RewriteRule transforms a rule expression so that bare field names become
// json_extract calls on a given JSON column.
// For example, with column "metadata":
//
// "price > 100 AND status IS NOT NULL"
//
// becomes:
//
// "json_extract(metadata, '$.price') > 100 AND json_extract(metadata, '$.status') IS NOT NULL"
//
// If the rule already contains json_extract, it is returned as-is.
// SQL keywords and common SQL functions are preserved.
func RewriteRule(rule, jsonColumn string) string {
if strings.Contains(rule, "json_extract") {
return rule
}
return rewriteFieldPattern.ReplaceAllStringFunc(rule, func(match string) string {
upper := strings.ToUpper(match)
if rewriteSQLKeywords[upper] {
return match
}
if rewriteSQLFunctions[strings.ToLower(match)] {
return match
}
if match[0] >= '0' && match[0] <= '9' {
return match
}
return fmt.Sprintf("json_extract(%s, '$.%s')", jsonColumn, match)
})
}