Add the AI layer that turns scan results into suggested next actions. Provider model (internal/ai): - Provider interface with Name() and Suggest(ctx, ScanResult) returning []Suggestion (repo_path, action, message, command, priority 0-2) - NewProvider factory resolves the configured provider and enforces that cloud providers have their API key in the configured env var; Ollama needs no key - OpenAIProvider: Chat Completions with response_format json_object - OllamaProvider: local /api/chat with format:json for structured output - AnthropicProvider: Messages API with system prompt and key/version headers; all three fall back to provider-appropriate defaults for base_url and model - Shared client: 60s timeout, 4 MiB response cap, JSON encode/decode, HTTP error surfaces the upstream status and body Prompt design (BuildPrompt): - Renders the full repository status table (name/status/branch/ahead/ behind/changes) plus strict output rules: exact suggestion schema, allowed actions, smallest-safe-step guidance, no invented repositories, return [] when healthy Parsing (parseSuggestions): - Tolerates ```json fences and surrounding prose, clamps priorities to 0-2, caps the result, and rejects replies without a JSON array Suggestion display (presenter.Suggestions): - "AI SUGGESTIONS" table (repository/action/priority/message/command) rendered below the scan table with priority color-coded (red/yellow/ green); empty results say all repositories are healthy Guarded execution (--ai-execute, experimental): - RunConfirmed executes a suggestion's command inside its repository only after explicit per-command y/N confirmation, and only for actions on an allowlist (commit/push/pull/stash/checkout) so LLM output can never run arbitrary shell commands; cancellation aborts remaining suggestions CLI wiring: - scan: AI block after the table when --ai is set and format is not json (JSON streams stay machine-readable); failures degrade to warnings - watch: AI is queried only on the first frame and when something changed since the previous frame, to avoid hammering the provider every interval - New --ai-execute flag and provider validation in config (openai/ollama/ anthropic), included in the config dump Testing: - httptest-based provider tests verifying request shape (model, auth headers, path), response parsing, API error bodies, HTTP failures, and cancellation - Parse tests: plain/fenced/prose replies, empty arrays, garbage, truncated JSON, priority clamping - Execution tests: unsafe actions and empty commands never run, declined confirmations are skipped, confirmed commands execute in the repo dir, failing commands surface errors - Presenter suggestion table and empty-state tests Verified: go build, go vet, go test -race, gofmt clean; end-to-end smoke test against a local fake Ollama server (request shape confirmed, table + suggestions rendered) and the missing-API-key warning path.
101 lines
2.8 KiB
Go
101 lines
2.8 KiB
Go
package main
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import (
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"context"
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"errors"
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"fmt"
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"os"
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"time"
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"github.com/spf13/cobra"
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"gitea.oblak.solutions/dimitar/gitFlow/internal/app"
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"gitea.oblak.solutions/dimitar/gitFlow/internal/config"
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"gitea.oblak.solutions/dimitar/gitFlow/internal/presenter"
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"gitea.oblak.solutions/dimitar/gitFlow/internal/scheduler"
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"gitea.oblak.solutions/dimitar/gitFlow/pkg/status"
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)
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// newWatchCmd repeatedly scans on an interval until interrupted.
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func newWatchCmd() *cobra.Command {
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cmd := &cobra.Command{
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Use: "watch",
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Short: "Repeatedly scan repositories on an interval",
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Args: cobra.NoArgs,
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RunE: func(cmd *cobra.Command, _ []string) error {
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cfg, err := config.Load(cmd.Flags())
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if err != nil {
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return err
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}
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if cfg.Interval <= 0 {
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return errors.New("watch requires a positive --interval (e.g. --interval 30s)")
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}
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// Same interactive prompt as scan, per the README.
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if !cmd.Flags().Changed("dir") && isTerminal(os.Stdin) {
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if d, err := promptDir(cfg.Dir); err == nil {
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cfg.Dir = d
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}
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}
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ctx, stop := signalContext()
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defer stop()
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a, err := app.New(cfg)
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if err != nil {
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return err
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}
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opts := presenter.Options{Color: presenter.ParseColorMode(cfg.Color)}
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var prev status.ScanResult
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first := true
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run := func(ctx context.Context) error {
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result, err := a.ScanOnce(ctx)
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if err != nil {
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return err
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}
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if cfg.Format == "json" {
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return presenter.Present(os.Stdout, cfg.Format, result, opts)
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}
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renderWatchFrame(result, prev, first, cfg, opts)
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// Ask the AI only on the first frame and when something
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// changed, so the provider is not hammered every interval.
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if cfg.AI.Enabled && (first || len(status.Changed(prev, result)) > 0) {
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renderSuggestions(ctx, cfg, opts, result)
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}
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prev = result
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first = false
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return nil
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}
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sched := scheduler.New(cfg.Interval, run)
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return sched.Run(ctx)
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},
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}
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config.RegisterFlags(cmd.Flags())
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return cmd
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}
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// renderWatchFrame clears the screen (or prints a timestamp header when
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// output is not a terminal), renders the scan, and prints a footer with
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// changed repositories and the next scan time.
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func renderWatchFrame(result, prev status.ScanResult, first bool, cfg *config.Config, opts presenter.Options) {
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if isTerminal(os.Stdout) {
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fmt.Fprint(os.Stdout, "\x1b[2J\x1b[H")
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} else {
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fmt.Fprintf(os.Stdout, "--- %s ---\n", time.Now().Format(time.RFC3339))
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}
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if err := presenter.Present(os.Stdout, cfg.Format, result, opts); err != nil {
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fmt.Fprintf(os.Stderr, "render: %v\n", err)
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return
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}
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if !first {
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for _, r := range status.Changed(prev, result) {
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fmt.Fprintf(os.Stdout, "▲ %s: %s\n", r.Name, r.Status)
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}
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}
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fmt.Fprintf(os.Stdout, "watching %s every %s — next scan at %s (Ctrl-C to stop)\n",
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cfg.Dir, cfg.Interval, time.Now().Add(cfg.Interval).Format("15:04:05"))
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}
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