diff options
Diffstat (limited to 'src/server/ApiManagers/UtilManager.ts')
| -rw-r--r-- | src/server/ApiManagers/UtilManager.ts | 44 |
1 files changed, 22 insertions, 22 deletions
diff --git a/src/server/ApiManagers/UtilManager.ts b/src/server/ApiManagers/UtilManager.ts index d18529cf2..ad8119bf4 100644 --- a/src/server/ApiManagers/UtilManager.ts +++ b/src/server/ApiManagers/UtilManager.ts @@ -3,11 +3,11 @@ import { Method } from "../RouteManager"; import { exec } from 'child_process'; import RouteSubscriber from "../RouteSubscriber"; import { red } from "colors"; -import { IBM_Recommender } from "../../client/apis/IBM_Recommender"; -import { Recommender } from "../Recommender"; +// import { IBM_Recommender } from "../../client/apis/IBM_Recommender"; +// import { Recommender } from "../Recommender"; -const recommender = new Recommender(); -recommender.testModel(); +// const recommender = new Recommender(); +// recommender.testModel(); import executeImport from "../../scraping/buxton/final/BuxtonImporter"; export default class UtilManager extends ApiManager { @@ -27,25 +27,25 @@ export default class UtilManager extends ApiManager { } }); - register({ - method: Method.POST, - subscription: "/IBMAnalysis", - secureHandler: async ({ req, res }) => res.send(await IBM_Recommender.analyze(req.body)) - }); + // register({ + // method: Method.POST, + // subscription: "/IBMAnalysis", + // secureHandler: async ({ req, res }) => res.send(await IBM_Recommender.analyze(req.body)) + // }); - register({ - method: Method.POST, - subscription: "/recommender", - secureHandler: async ({ req, res }) => { - const keyphrases = req.body.keyphrases; - const wordvecs = await recommender.vectorize(keyphrases); - let embedding: Float32Array = new Float32Array(); - if (wordvecs && wordvecs.dataSync()) { - embedding = wordvecs.dataSync() as Float32Array; - } - res.send(embedding); - } - }); + // register({ + // method: Method.POST, + // subscription: "/recommender", + // secureHandler: async ({ req, res }) => { + // const keyphrases = req.body.keyphrases; + // const wordvecs = await recommender.vectorize(keyphrases); + // let embedding: Float32Array = new Float32Array(); + // if (wordvecs && wordvecs.dataSync()) { + // embedding = wordvecs.dataSync() as Float32Array; + // } + // res.send(embedding); + // } + // }); register({ |