Files
Assistant/cmd/cognitive-worker/main.go
2026-08-17 10:29:03 +03:00

176 lines
6.3 KiB
Go

package main
import (
"bytes"
"context"
"encoding/json"
"errors"
"fmt"
"git.cin.su/m/Assistant/adapters/models"
"git.cin.su/m/Assistant/contracts/capability"
"git.cin.su/m/Assistant/contracts/cognitive"
"git.cin.su/m/Assistant/contracts/identity"
"git.cin.su/m/Assistant/runtime/health"
"io"
"log"
"net/http"
"os"
"time"
)
const maxOpenAISecretBytes = 8 << 10
type advisoryProvider interface {
Advise(context.Context, cognitive.AdvisoryRequest) (cognitive.AdvisoryResponse, error)
}
func main() {
addr := os.Getenv("LISTEN_ADDR")
if addr == "" {
addr = ":8083"
}
openAIProvider, err := loadOpenAIAdvisoryProvider(os.Getenv("OPENAI_API_KEY_FILE"))
if err != nil {
log.Fatal(err)
}
mux := http.NewServeMux()
resolver, err := newHTTPBindingResolver(envOr("CORE_RUNTIME_URL", "http://core-runtime:8080"), &http.Client{Timeout: 12 * time.Second})
if err != nil {
log.Fatal(err)
}
providers := map[capability.ProviderKind][]providerRegistration{}
discoveries := map[string]providerRegistration{}
cpuAdapter, err := models.NewOpenAICompatibleLocalAdapter(envOr("LOCAL_CPU_PROVIDER_URL", "http://docker.cin.su:18082/v1"), nil)
if err != nil {
log.Fatal(err)
}
cpu := providerRegistration{ProviderInstanceID: "local-cpu-primary", Kind: "openai-compatible-chat-v1", EndpointRef: "local-cpu-primary-v1", Provider: cpuAdapter, Discovery: cpuAdapter}
providers[cpu.Kind] = append(providers[cpu.Kind], cpu)
discoveries["cpu"] = cpu
gpuAdapter, err := models.NewOllamaAdapter(envOr("LOCAL_GPU_PROVIDER_URL", "http://192.168.220.91:11434"), nil)
if err != nil {
log.Fatal(err)
}
gpu := providerRegistration{ProviderInstanceID: "local-gpu-opportunistic", Kind: "ollama-v1", EndpointRef: "local-gpu-opportunistic-v1", Provider: gpuAdapter, Discovery: gpuAdapter}
providers[gpu.Kind] = append(providers[gpu.Kind], gpu)
discoveries["gpu"] = gpu
if openAIProvider != nil {
kind := capability.ProviderKind(envOr("OPENAI_PROVIDER_KIND", "openai-responses-v1"))
providers[kind] = append(providers[kind], providerRegistration{ProviderInstanceID: "openai-bootstrap", Kind: kind, EndpointRef: capability.EndpointBindingRef(envOr("OPENAI_ENDPOINT_REF", "openai-responses-default")), CredentialRef: capability.CredentialRef(envOr("OPENAI_CREDENTIAL_REF", "openai-advisory-v1")), Provider: openAIProvider})
}
gateway := cognitiveGateway{resolver: resolver, providers: providers, now: time.Now, allowCanary: os.Getenv("COGNITIVE_ALLOW_CANARY") == "true", canaryMaxOutputBytes: 4096}
mux.Handle("/healthz", health.Handler{Runtime: "cognitive-worker", SemanticGeneration: 1, ArchitectureGeneration: 1})
mux.HandleFunc("POST /v1/proposals/deterministic", deterministicProposal)
mux.HandleFunc("POST /v1/advisory-policy", gateway.policyHandler)
mux.HandleFunc("POST /v1/advisories", gateway.advisoryHandler)
discovery := discoveryService{resolver: resolver, providers: discoveries, owner: identity.PrincipalID(envOr("COGNITIVE_OWNER_PRINCIPAL_ID", "domovoy-creator-principal")), now: time.Now}
mux.HandleFunc("POST /v1/provider-discovery/{provider}", discovery.handler)
log.Printf("cognitive-worker listening on %s", addr)
if err := http.ListenAndServe(addr, mux); err != nil {
log.Fatal(err)
}
}
func deterministicAdvisory(w http.ResponseWriter, r *http.Request) {
request, ok := decodeAdvisoryRequest(w, r)
if !ok {
return
}
response, err := models.DeterministicAdvisoryUnavailable(request)
if err != nil {
http.Error(w, "invalid advisory request", http.StatusBadRequest)
return
}
w.Header().Set("Content-Type", "application/json")
_ = json.NewEncoder(w).Encode(response)
}
func openAIAdvisory(provider advisoryProvider) http.HandlerFunc {
return func(w http.ResponseWriter, r *http.Request) {
if provider == nil {
http.Error(w, "provider unavailable", http.StatusServiceUnavailable)
return
}
request, ok := decodeAdvisoryRequest(w, r)
if !ok {
return
}
response, err := provider.Advise(r.Context(), request)
if err != nil {
http.Error(w, "invalid advisory request", http.StatusBadRequest)
return
}
w.Header().Set("Content-Type", "application/json")
_ = json.NewEncoder(w).Encode(response)
}
}
func decodeAdvisoryRequest(w http.ResponseWriter, r *http.Request) (cognitive.AdvisoryRequest, bool) {
r.Body = http.MaxBytesReader(w, r.Body, 80*1024)
decoder := json.NewDecoder(r.Body)
decoder.DisallowUnknownFields()
var request cognitive.AdvisoryRequest
if err := decoder.Decode(&request); err != nil {
http.Error(w, "invalid advisory request", http.StatusBadRequest)
return cognitive.AdvisoryRequest{}, false
}
if err := decoder.Decode(&struct{}{}); err != io.EOF {
http.Error(w, "invalid advisory request", http.StatusBadRequest)
return cognitive.AdvisoryRequest{}, false
}
return request, true
}
func loadOpenAIAdvisoryProvider(secretPath string) (advisoryProvider, error) {
if os.Getenv("OPENAI_API_KEY") != "" {
return nil, errors.New("direct OpenAI credential environment is forbidden; use OPENAI_API_KEY_FILE")
}
if secretPath == "" {
return nil, nil
}
file, err := os.Open(secretPath)
if err != nil {
return nil, fmt.Errorf("open OpenAI credential file: %w", err)
}
defer file.Close()
raw, err := io.ReadAll(io.LimitReader(file, maxOpenAISecretBytes+1))
if err != nil {
return nil, fmt.Errorf("read OpenAI credential file: %w", err)
}
defer clear(raw)
if len(raw) > maxOpenAISecretBytes {
return nil, errors.New("OpenAI credential file is oversized")
}
key := bytes.TrimSpace(raw)
if len(key) == 0 {
return nil, errors.New("OpenAI credential file is empty")
}
for _, character := range key {
if character < 0x21 || character > 0x7e {
return nil, errors.New("OpenAI credential file contains invalid characters")
}
}
provider, err := models.NewOpenAIAdvisoryAdapter(key, nil)
if err != nil {
return nil, errors.New("OpenAI credential file is invalid")
}
return provider, nil
}
func deterministicProposal(w http.ResponseWriter, r *http.Request) {
var request models.DeterministicRequest
if err := json.NewDecoder(r.Body).Decode(&request); err != nil {
http.Error(w, "invalid deterministic proposal request", http.StatusBadRequest)
return
}
w.Header().Set("Content-Type", "application/json")
_ = json.NewEncoder(w).Encode(models.Propose(request))
}
func envOr(name, fallback string) string {
if value := os.Getenv(name); value != "" {
return value
}
return fallback
}