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.
70 lines
1.8 KiB
Go
70 lines
1.8 KiB
Go
package ai
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import (
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"context"
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"fmt"
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"gitea.oblak.solutions/dimitar/gitFlow/internal/config"
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"gitea.oblak.solutions/dimitar/gitFlow/pkg/status"
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)
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const defaultOllamaBaseURL = "http://localhost:11434"
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// OllamaProvider talks to a local Ollama server. No API key is needed.
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type OllamaProvider struct {
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model string
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baseURL string
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client *client
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}
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// NewOllama builds an Ollama provider. base_url and model fall back to
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// sensible defaults when unset in the configuration.
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func NewOllama(cfg config.AIConfig) *OllamaProvider {
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baseURL := cfg.BaseURL
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if baseURL == "" {
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baseURL = defaultOllamaBaseURL
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}
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model := cfg.Model
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if model == "" {
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model = "llama3.2"
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}
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return &OllamaProvider{model: model, baseURL: baseURL, client: newClient()}
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}
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// Name implements Provider.
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func (p *OllamaProvider) Name() string { return "ollama" }
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type ollamaRequest struct {
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Model string `json:"model"`
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Messages []chatMessage `json:"messages"`
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Format string `json:"format"` // "json" forces structured output
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Stream bool `json:"stream"`
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}
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type ollamaResponse struct {
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Message chatMessage `json:"message"`
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Error string `json:"error"`
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}
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// Suggest implements Provider.
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func (p *OllamaProvider) Suggest(ctx context.Context, result status.ScanResult) ([]Suggestion, error) {
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req := ollamaRequest{
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Model: p.model,
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Messages: []chatMessage{
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{Role: "system", Content: "You are gitflow, a concise Git repository health assistant. You reply with JSON only."},
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{Role: "user", Content: BuildPrompt(result)},
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},
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Format: "json",
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Stream: false,
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}
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var resp ollamaResponse
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if err := p.client.postJSON(ctx, p.baseURL+"/api/chat", nil, req, &resp); err != nil {
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return nil, err
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}
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if resp.Error != "" {
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return nil, fmt.Errorf("ai: ollama: %s", resp.Error)
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}
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return parseSuggestions(resp.Message.Content)
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}
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