diff options
| author | Bob Zeleznik <zzzman@gmail.com> | 2020-03-09 16:39:42 -0400 |
|---|---|---|
| committer | Bob Zeleznik <zzzman@gmail.com> | 2020-03-09 16:39:42 -0400 |
| commit | 636e6880a52d3a1a3e24437f47194a902731401d (patch) | |
| tree | 4f3517793dcf13191b45645ad68dca390ca7bf4e /src/client/cognitive_services/CognitiveServices.ts | |
| parent | 5be3be45d1930ec02243b4f37a1ad86a5b5c58bf (diff) | |
cleanup of warnings
Diffstat (limited to 'src/client/cognitive_services/CognitiveServices.ts')
| -rw-r--r-- | src/client/cognitive_services/CognitiveServices.ts | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/src/client/cognitive_services/CognitiveServices.ts b/src/client/cognitive_services/CognitiveServices.ts index ce829eb1e..542ccf04d 100644 --- a/src/client/cognitive_services/CognitiveServices.ts +++ b/src/client/cognitive_services/CognitiveServices.ts @@ -371,9 +371,9 @@ export namespace CognitiveServices { let args = { method: 'POST', uri: Utils.prepend("/recommender"), body: { keyphrases: keyterms }, json: true }; await requestPromise.post(args).then(async (wordvecs) => { if (wordvecs) { - let indices = Object.keys(wordvecs); + const indices = Object.keys(wordvecs); console.log("successful vectorization!"); - var vectorValues = new List<number>(); + const vectorValues = new List<number>(); indices.forEach((ind: any) => { //console.log(wordvec.word); vectorValues.push(wordvecs[ind]); @@ -389,9 +389,9 @@ export namespace CognitiveServices { } export const analyzer = async (dataDoc: Doc, target: Doc, keys: string[], data: string, converter: TextConverter, isMainDoc: boolean = false, isInternal: boolean = true) => { - let results = await ExecuteQuery(Service.Text, Manager, data); + const results = await ExecuteQuery(Service.Text, Manager, data); console.log("Cognitive Services keyphrases: ", results); - let { keyterms, external_recommendations, kp_string } = await converter(results, data); + const { keyterms, external_recommendations, kp_string } = await converter(results, data); target[keys[0]] = keyterms; if (isInternal) { //await vectorize([data], dataDoc, isMainDoc); |
