Re: Empty result even though there are events

2017-04-04 Thread Vaghawan Ojha
Oh, Ok. That's my mistake then. I think creating a new app would solve the problem. Thanks On Wed, Apr 5, 2017 at 9:04 AM, Donald Szeto wrote: > Are you using the appName in engine.json that corresponds to the appId you > used when you did `pio import`? Setting a new appName in engine.json wil

Re: Empty result even though there are events

2017-04-04 Thread Donald Szeto
Are you using the appName in engine.json that corresponds to the appId you used when you did `pio import`? Setting a new appName in engine.json will not automatically create a new app. Apps are created when you do `pio app new`. On Tue, Apr 4, 2017 at 8:13 PM Vaghawan Ojha wrote: Hi, Yes, I cou

Re: Empty result even though there are events

2017-04-04 Thread Vaghawan Ojha
Hi, Yes, I couldn't use different appName. Even when I changed the appName in engine.json and did pio build, the app name in pio app list still reamins the same. Something to do with the pio itself, I guess. Thank you very much for your support. On Mon, Apr 3, 2017 at 6:58 PM, Pat Ferrel wrote:

Re: Items blacklisted in the query made to Elasticsearch by UR

2017-04-04 Thread Pat Ferrel
Ok, so you are using pio 0.10.0, the UR v 0.5.0 and have disabled the blacklistEvents as shown below? Then when you query for a user you are not getting all items returned? Can you share an example of the query you send to pio and the JSON that is created for Elasticsearch? On Apr 4, 2017, a

Re: Error while pio status

2017-04-04 Thread Pat Ferrel
What version of PIO are you using? On Apr 3, 2017, at 2:07 PM, infoquest india wrote: I have done corrections and its giving errors below ERROR] [Console$] No storage backend implementation can be found (tried both org.apache.predictionio.data.storage.elasticsearch.ESModels and elasticsear

Re: Items blacklisted in the query made to Elasticsearch by UR

2017-04-04 Thread Bruno LEBON
Hi, Sorry my bad, I searched for the piece of code on the internet and your repository came first. I had the right repo in prod ( https://github.com/actionml/universal-recommender), I doubled check. Sorry for the misunderstanding. We still have the same problem. Here the engine.json we use: *{*