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// scholscan command-line tool
// this is the main entry point, commands are implemented in cmds/
// and basic logic in core/
package main
import (
"errors"
"flag"
"fmt"
"os"
"scholscan/cmds"
"scholscan/core"
)
func main() {
if len(os.Args) < 2 {
printHelp()
os.Exit(1)
}
cmdName := os.Args[1]
args := os.Args[2:]
// handle the help stuff
if cmdName == "help" || cmdName == "--help" || cmdName == "-h" {
printHelp()
return
}
// flag -> command
var cmd core.Command
switch cmdName {
case "train":
cmd = &cmds.TrainCommand{}
case "scan":
cmd = &cmds.ScanCommand{}
case "serve":
cmd = &cmds.ServeCommand{}
default:
fmt.Fprintf(os.Stderr, "Unknown command: %s\n\n", cmdName)
printHelp()
os.Exit(1)
}
// init the command, then run it
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(`scholscan <command> [arguments]
A command-line tool for filtering articles based on learned user preferences.
Commands:
train Train a model from positives and RSS feeds
scan Filter articles using a trained model
serve Start HTTP server with filtered RSS and scoring API
Usage:
scholscan train POSITIVES_FILE --rss-feeds RSS_FEEDS_FILE > model.json
scholscan scan --url RSS_URL --model MODEL > results.jsonl
scholscan serve --model MODEL --rss-world RSS_FEEDS_FILE # Start server
scholscan serve --title "My Custom ScholScan" # Custom title for web interface
scholscan help # Show this help message
Examples:
scholscan train positives.jsonl --rss-feeds rss_world.txt > model.json
scholscan scan --url "https://feeds.reuters.com/reuters/topNews" --model model.json
scholscan serve --port 8080 --model model.json --rss-world rss_world.txt
`)
}
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