dimitar
aee63bf321
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.
57 lines
1.4 KiB
Go
57 lines
1.4 KiB
Go
package ai
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import (
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"bytes"
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"context"
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"encoding/json"
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"fmt"
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"io"
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"net/http"
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"strings"
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"time"
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)
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// client is a small LLM HTTP client with a bounded response size and a
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// timeout so a slow or chatty upstream cannot hang a scan.
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type client struct {
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httpc *http.Client
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}
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func newClient() *client {
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return &client{httpc: &http.Client{Timeout: 60 * time.Second}}
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}
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// postJSON sends payload as JSON and decodes the response body into out.
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func (c *client) postJSON(ctx context.Context, url string, headers map[string]string, payload, out any) error {
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body, err := json.Marshal(payload)
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if err != nil {
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return fmt.Errorf("ai: encode request: %w", err)
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}
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req, err := http.NewRequestWithContext(ctx, http.MethodPost, url, bytes.NewReader(body))
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if err != nil {
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return fmt.Errorf("ai: %w", err)
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}
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req.Header.Set("Content-Type", "application/json")
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for k, v := range headers {
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req.Header.Set(k, v)
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}
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resp, err := c.httpc.Do(req)
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if err != nil {
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return fmt.Errorf("ai: %w", err)
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}
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defer resp.Body.Close()
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data, err := io.ReadAll(io.LimitReader(resp.Body, 4<<20)) // 4 MiB cap
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if err != nil {
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return fmt.Errorf("ai: read response: %w", err)
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}
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if resp.StatusCode < 200 || resp.StatusCode >= 300 {
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return fmt.Errorf("ai: %s: %s", resp.Status, strings.TrimSpace(string(data)))
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}
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if err := json.Unmarshal(data, out); err != nil {
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return fmt.Errorf("ai: decode response: %w", err)
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}
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return nil
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}
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