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// fluxrec command-line tool.
// Personal Miniflux article recommender; see README.md.
package main
import (
"errors"
"flag"
"fmt"
"os"
"fluxrec/cmds"
"fluxrec/core"
)
func main() {
if len(os.Args) < 2 {
printHelp()
os.Exit(1)
}
cmdName := os.Args[1]
args := os.Args[2:]
if cmdName == "help" || cmdName == "--help" || cmdName == "-h" {
printHelp()
return
}
var cmd core.Command
switch cmdName {
case "score":
cmd = &cmds.ScoreCommand{}
case "export":
cmd = &cmds.ExportCommand{}
case "train":
cmd = &cmds.TrainCommand{}
case "serve":
cmd = &cmds.ServeCommand{}
case "retrostar":
cmd = &cmds.RetrostarCommand{}
default:
fmt.Fprintf(os.Stderr, "Unknown command: %s\n\n", cmdName)
printHelp()
os.Exit(1)
}
if err := cmd.Init(args); err != nil {
if errors.Is(err, flag.ErrHelp) {
os.Exit(0)
}
fmt.Fprintf(os.Stderr, "Error initializing %s command: %v\n", cmdName, err)
os.Exit(1)
}
if err := cmd.Run(os.Stdin, os.Stdout); err != nil {
fmt.Fprintf(os.Stderr, "Error running %s command: %v\n", cmdName, err)
os.Exit(1)
}
}
func printHelp() {
fmt.Printf(`fluxrec <command> [arguments]
Personal Miniflux article recommender (see README.md).
Commands:
score Score stdin titles with a trained model (debugging)
export Pull starred + sampled negatives from Miniflux into labels.jsonl
train Train a TF-IDF + LR model from labels.jsonl
serve Poll Miniflux, score, serve recommendations RSS (server)
retrostar Model-ranked candidates for retroactive starring (cold start)
Usage:
echo "some title" | fluxrec score --model model.json
`)
}
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