golangLAKEHOUSE/scripts/cutover/gen_real_queries.go

// gen_real_queries — pull N rows from fill_events.parquet and translate
// each into a coordinator-style natural-language query.
//
// Output: one query per line, written to stdout (intended for redirect
// into tests/reality/real_coord_queries.txt and then fed to
// scripts/playbook_lift.sh as --queries=<path>).
//
// Why: the lift harness's standard query corpus is hand-crafted to
// stress multi-constraint matching. Real coordinator demand has a
// different distribution — single-role, single-geo, count + time —
// and we want to probe whether the substrate handles that shape too.
// The fill_events parquet on the Rust side is the closest thing to
// "real demand" we have on disk (123 rows, sourced from staffing
// fixture generation but shaped like genuine fills).
package main

import (
	"context"
	"flag"
	"fmt"
	"log"
	"strings"

	"github.com/apache/arrow-go/v18/arrow/memory"
	"github.com/apache/arrow-go/v18/parquet/file"
	"github.com/apache/arrow-go/v18/parquet/pqarrow"
)

func main() {
	src := flag.String("src", "/home/profit/lakehouse/data/datasets/fill_events.parquet", "fill_events parquet path")
	limit := flag.Int("limit", 10, "number of source rows to read")
	styles := flag.String("styles", "need", "comma-separated styles to emit per row (need|client_first|looking|shorthand|all)")
	flag.Parse()

	r, err := file.OpenParquetFile(*src, false)
	if err != nil {
		log.Fatalf("open %s: %v", *src, err)
	}
	defer r.Close()

	pr, err := pqarrow.NewFileReader(r, pqarrow.ArrowReadProperties{}, memory.DefaultAllocator)
	if err != nil {
		log.Fatalf("pqarrow reader: %v", err)
	}
	tbl, err := pr.ReadTable(context.Background())
	if err != nil {
		log.Fatalf("read table: %v", err)
	}
	defer tbl.Release()

	// Field order must match parquet schema (see scripts/cutover dev probe):
	//   3=client, 5=city, 6=state, 7=role, 8=count, 10=at, 12=deadline.
	client := tbl.Column(3).Data().Chunk(0)
	city := tbl.Column(5).Data().Chunk(0)
	state := tbl.Column(6).Data().Chunk(0)
	role := tbl.Column(7).Data().Chunk(0)
	count := tbl.Column(8).Data().Chunk(0)
	at := tbl.Column(10).Data().Chunk(0)
	deadline := tbl.Column(12).Data().Chunk(0)

	n := int(tbl.NumRows())
	if *limit < n {
		n = *limit
	}

	stylesList := parseStyles(*styles)

	fmt.Println("# Real-shape coordinator queries — generated from fill_events.parquet")
	fmt.Println("# (real-shape demand data; queries built mechanically from event rows).")
	fmt.Printf("# Source: %s (%d rows total, %d emitted, styles=%v)\n", *src, tbl.NumRows(), n, stylesList)
	fmt.Println("#")
	fmt.Println("# Styles:")
	fmt.Println("#   need:         'Need N {role}{s} in {city} {state} starting at {at} for {client}'")
	fmt.Println("#                 — matches scripts/playbook_lift's extractRoleFromNeed regex")
	fmt.Println("#   client_first: '{client} needs N {role}{s} in {city} {state} at {at}'")
	fmt.Println("#   looking:      'Looking for N {role}{s} at {client} in {city} {state} for {at} shift'")
	fmt.Println("#   shorthand:    'N {role}{s} {city} {state} {at} {client}'")
	fmt.Println("#")
	fmt.Println("# Only 'need' currently extracts a role. The other three test the")
	fmt.Println("# substrate's bleed behavior when the role gate is silently disabled.")
	fmt.Println()

	for i := 0; i < n; i++ {
		ev := event{
			client: client.ValueStr(i),
			city:   city.ValueStr(i),
			state:  state.ValueStr(i),
			role:   role.ValueStr(i),
			count:  count.ValueStr(i),
			at:     at.ValueStr(i),
		}
		if dl := deadline.ValueStr(i); dl != "" && dl != "(null)" {
			ev.deadline = dl
		}
		for _, s := range stylesList {
			fmt.Println(formatQuery(ev, s))
		}
	}
}

type event struct {
	client, city, state, role, count, at, deadline string
}

func formatQuery(e event, style string) string {
	r := pluralize(e.role, e.count)
	switch style {
	case "client_first":
		// No "Need ... in" anchor — extractRoleFromNeed returns "" on this.
		return fmt.Sprintf("%s needs %s %s in %s %s at %s", e.client, e.count, r, e.city, e.state, e.at)
	case "looking":
		return fmt.Sprintf("Looking for %s %s at %s in %s %s for %s shift", e.count, r, e.client, e.city, e.state, e.at)
	case "shorthand":
		return fmt.Sprintf("%s %s %s %s %s %s", e.count, r, e.city, e.state, e.at, e.client)
	default:
		// "need" form — the original real_001 shape, regex-extractor wins.
		q := fmt.Sprintf("Need %s %s in %s %s starting at %s for %s", e.count, r, e.city, e.state, e.at, e.client)
		if e.deadline != "" {
			q += ", deadline " + e.deadline
		}
		return q
	}
}

// parseStyles unpacks the comma-separated -styles flag, with "all"
// expanding to every supported style and unknown tokens dropped
// (with a log line so callers know).
func parseStyles(csv string) []string {
	all := []string{"need", "client_first", "looking", "shorthand"}
	if strings.TrimSpace(csv) == "all" {
		return all
	}
	out := []string{}
	for _, s := range strings.Split(csv, ",") {
		s = strings.TrimSpace(s)
		if s == "" {
			continue
		}
		known := false
		for _, a := range all {
			if a == s {
				known = true
				break
			}
		}
		if !known {
			log.Printf("gen_real_queries: unknown style %q — skipping", s)
			continue
		}
		out = append(out, s)
	}
	if len(out) == 0 {
		return []string{"need"}
	}
	return out
}

func pluralize(role, count string) string {
	if count == "1" {
		return role
	}
	// "Warehouse Associate" → "Warehouse Associates"; "Loader" → "Loaders".
	// Naive but fits the staffing-domain vocabulary in fill_events.
	return role + "s"
}