7e3c1ede79
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>
59 lines
1.8 KiB
Go
59 lines
1.8 KiB
Go
package core
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import (
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"fmt"
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"regexp"
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"strings"
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)
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var rewriteFieldPattern = regexp.MustCompile(`\b([a-zA-Z_][a-zA-Z0-9_]*)\b`)
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var rewriteSQLKeywords = map[string]bool{
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"AND": true, "OR": true, "NOT": true, "IS": true, "NULL": true,
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"IN": true, "BETWEEN": true, "LIKE": true, "GLOB": true,
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"TRUE": true, "FALSE": true, "CASE": true, "WHEN": true,
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"THEN": true, "ELSE": true, "END": true, "SELECT": true,
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"FROM": true, "WHERE": true, "AS": true, "CAST": true,
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}
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var rewriteSQLFunctions = map[string]bool{
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"json_extract": true, "datetime": true, "now": true,
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"abs": true, "avg": true, "count": true, "max": true, "min": true,
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"sum": true, "total": true, "length": true, "typeof": true,
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"coalesce": true, "ifnull": true, "nullif": true,
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"upper": true, "lower": true, "trim": true, "replace": true,
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"substr": true, "instr": true, "round": true,
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}
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// RewriteRule transforms a rule expression so that bare field names become
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// json_extract calls on a given JSON column.
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// For example, with column "metadata":
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//
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// "price > 100 AND status IS NOT NULL"
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//
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// becomes:
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//
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// "json_extract(metadata, '$.price') > 100 AND json_extract(metadata, '$.status') IS NOT NULL"
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//
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// If the rule already contains json_extract, it is returned as-is.
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// SQL keywords and common SQL functions are preserved.
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func RewriteRule(rule, jsonColumn string) string {
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if strings.Contains(rule, "json_extract") {
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return rule
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}
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return rewriteFieldPattern.ReplaceAllStringFunc(rule, func(match string) string {
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upper := strings.ToUpper(match)
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if rewriteSQLKeywords[upper] {
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return match
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}
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if rewriteSQLFunctions[strings.ToLower(match)] {
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return match
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}
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if match[0] >= '0' && match[0] <= '9' {
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return match
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}
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return fmt.Sprintf("json_extract(%s, '$.%s')", jsonColumn, match)
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})
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}
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