Spaces:
Running
Running
File size: 8,554 Bytes
b110593 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 |
// _ _
// __ _____ __ ___ ___ __ _| |_ ___
// \ \ /\ / / _ \/ _` \ \ / / |/ _` | __/ _ \
// \ V V / __/ (_| |\ V /| | (_| | || __/
// \_/\_/ \___|\__,_| \_/ |_|\__,_|\__\___|
//
// Copyright © 2016 - 2024 Weaviate B.V. All rights reserved.
//
// CONTACT: [email protected]
//
package modcontextionary
import (
"context"
"net/http"
"time"
"github.com/pkg/errors"
"github.com/sirupsen/logrus"
"github.com/weaviate/weaviate/adapters/handlers/rest/state"
"github.com/weaviate/weaviate/entities/models"
"github.com/weaviate/weaviate/entities/modulecapabilities"
"github.com/weaviate/weaviate/entities/moduletools"
text2vecadditional "github.com/weaviate/weaviate/modules/text2vec-contextionary/additional"
text2vecinterpretation "github.com/weaviate/weaviate/modules/text2vec-contextionary/additional/interpretation"
text2vecnn "github.com/weaviate/weaviate/modules/text2vec-contextionary/additional/nearestneighbors"
text2vecsempath "github.com/weaviate/weaviate/modules/text2vec-contextionary/additional/sempath"
text2vecclassification "github.com/weaviate/weaviate/modules/text2vec-contextionary/classification"
"github.com/weaviate/weaviate/modules/text2vec-contextionary/client"
"github.com/weaviate/weaviate/modules/text2vec-contextionary/concepts"
"github.com/weaviate/weaviate/modules/text2vec-contextionary/extensions"
"github.com/weaviate/weaviate/modules/text2vec-contextionary/vectorizer"
localvectorizer "github.com/weaviate/weaviate/modules/text2vec-contextionary/vectorizer"
text2vecprojector "github.com/weaviate/weaviate/usecases/modulecomponents/additional/projector"
text2vecneartext "github.com/weaviate/weaviate/usecases/modulecomponents/nearText"
)
// MinimumRequiredRemoteVersion describes the minimal semver version
// (independent of the model version) of the remote model inference API
const MinimumRequiredRemoteVersion = "1.0.0"
func New() *ContextionaryModule {
return &ContextionaryModule{}
}
// ContextionaryModule for now only handles storage and retrieval of extensions,
// but with making Weaviate more modular, this should contain anything related
// to the module
type ContextionaryModule struct {
storageProvider moduletools.StorageProvider
extensions *extensions.RESTHandlers
concepts *concepts.RESTHandlers
vectorizer *localvectorizer.Vectorizer
configValidator configValidator
graphqlProvider modulecapabilities.GraphQLArguments
additionalPropertiesProvider modulecapabilities.AdditionalProperties
searcher modulecapabilities.Searcher
remote remoteClient
classifierContextual modulecapabilities.Classifier
logger logrus.FieldLogger
nearTextTransformer modulecapabilities.TextTransform
}
type remoteClient interface {
localvectorizer.RemoteClient
extensions.Proxy
vectorizer.InspectorClient
text2vecsempath.Remote
modulecapabilities.MetaProvider
modulecapabilities.VectorizerClient
WaitForStartupAndValidateVersion(ctx context.Context, version string,
interval time.Duration) error
}
type configValidator interface {
Do(ctx context.Context, class *models.Class, cfg moduletools.ClassConfig,
indexChecker localvectorizer.IndexChecker) error
}
func (m *ContextionaryModule) Name() string {
return "text2vec-contextionary"
}
func (m *ContextionaryModule) Type() modulecapabilities.ModuleType {
return modulecapabilities.Text2Vec
}
func (m *ContextionaryModule) Init(ctx context.Context,
params moduletools.ModuleInitParams,
) error {
m.storageProvider = params.GetStorageProvider()
appState, ok := params.GetAppState().(*state.State)
if !ok {
return errors.Errorf("appState is not a *state.State")
}
m.logger = appState.Logger
url := appState.ServerConfig.Config.Contextionary.URL
remote, err := client.NewClient(url, m.logger)
if err != nil {
return errors.Wrap(err, "init remote client")
}
m.remote = remote
if err := m.remote.WaitForStartupAndValidateVersion(ctx,
MinimumRequiredRemoteVersion, 1*time.Second); err != nil {
return errors.Wrap(err, "validate remote inference api")
}
if err := m.initExtensions(); err != nil {
return errors.Wrap(err, "init extensions")
}
if err := m.initConcepts(); err != nil {
return errors.Wrap(err, "init concepts")
}
if err := m.initVectorizer(); err != nil {
return errors.Wrap(err, "init vectorizer")
}
if err := m.initGraphqlAdditionalPropertiesProvider(); err != nil {
return errors.Wrap(err, "init graphql additional properties provider")
}
if err := m.initClassifiers(); err != nil {
return errors.Wrap(err, "init classifiers")
}
return nil
}
func (m *ContextionaryModule) InitExtension(modules []modulecapabilities.Module) error {
for _, module := range modules {
if module.Name() == m.Name() {
continue
}
if arg, ok := module.(modulecapabilities.TextTransformers); ok {
if arg != nil && arg.TextTransformers() != nil {
m.nearTextTransformer = arg.TextTransformers()["nearText"]
}
}
}
if err := m.initGraphqlProvider(); err != nil {
return errors.Wrap(err, "init graphql provider")
}
return nil
}
func (m *ContextionaryModule) initExtensions() error {
storage, err := m.storageProvider.Storage("contextionary-extensions")
if err != nil {
return errors.Wrap(err, "initialize extensions storage")
}
uc := extensions.NewUseCase(storage)
m.extensions = extensions.NewRESTHandlers(uc, m.remote)
return nil
}
func (m *ContextionaryModule) initConcepts() error {
uc := localvectorizer.NewInspector(m.remote)
m.concepts = concepts.NewRESTHandlers(uc)
return nil
}
func (m *ContextionaryModule) initVectorizer() error {
m.vectorizer = localvectorizer.New(m.remote)
m.configValidator = localvectorizer.NewConfigValidator(m.remote, m.logger)
m.searcher = text2vecneartext.NewSearcher(m.vectorizer)
return nil
}
func (m *ContextionaryModule) initGraphqlProvider() error {
m.graphqlProvider = text2vecneartext.New(m.nearTextTransformer)
return nil
}
func (m *ContextionaryModule) initGraphqlAdditionalPropertiesProvider() error {
nnExtender := text2vecnn.NewExtender(m.remote)
featureProjector := text2vecprojector.New()
pathBuilder := text2vecsempath.New(m.remote)
interpretation := text2vecinterpretation.New()
m.additionalPropertiesProvider = text2vecadditional.New(nnExtender, featureProjector, pathBuilder, interpretation)
return nil
}
func (m *ContextionaryModule) initClassifiers() error {
m.classifierContextual = text2vecclassification.New(m.remote)
return nil
}
func (m *ContextionaryModule) RootHandler() http.Handler {
mux := http.NewServeMux()
mux.Handle("/extensions-storage/", http.StripPrefix("/extensions-storage",
m.extensions.StorageHandler()))
mux.Handle("/extensions", http.StripPrefix("/extensions",
m.extensions.UserFacingHandler()))
mux.Handle("/concepts/", http.StripPrefix("/concepts", m.concepts.Handler()))
return mux
}
func (m *ContextionaryModule) VectorizeObject(ctx context.Context,
obj *models.Object, objDiff *moduletools.ObjectDiff, cfg moduletools.ClassConfig,
) error {
return m.vectorizer.Object(ctx, obj, objDiff, cfg)
}
func (m *ContextionaryModule) VectorizeInput(ctx context.Context,
input string, cfg moduletools.ClassConfig,
) ([]float32, error) {
return m.vectorizer.Texts(ctx, []string{input}, cfg)
}
func (m *ContextionaryModule) Arguments() map[string]modulecapabilities.GraphQLArgument {
return m.graphqlProvider.Arguments()
}
func (m *ContextionaryModule) VectorSearches() map[string]modulecapabilities.VectorForParams {
return m.searcher.VectorSearches()
}
func (m *ContextionaryModule) AdditionalProperties() map[string]modulecapabilities.AdditionalProperty {
return m.additionalPropertiesProvider.AdditionalProperties()
}
func (m *ContextionaryModule) Classifiers() []modulecapabilities.Classifier {
return []modulecapabilities.Classifier{m.classifierContextual}
}
func (m *ContextionaryModule) MetaInfo() (map[string]interface{}, error) {
return m.remote.MetaInfo()
}
// verify we implement the modules.Module interface
var (
_ = modulecapabilities.Module(New())
_ = modulecapabilities.Vectorizer(New())
_ = modulecapabilities.InputVectorizer(New())
)
|