Stefanos-stk / Bertmoticon

Multilingual Emoticon Prediction of Tweets about COVID-19😷
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sql database #3

Closed Stefanos-stk closed 3 years ago

Stefanos-stk commented 4 years ago

I am having a small issue with the example.py file. I downloaded all the libraries that it required. The original example.py file has commented on the SQL code that finds the tweets. When I removed that I got this error:

  File "example.py", line 10
    date_trunc('day',created_at) as day,
             ^
SyntaxError: invalid syntax

and when I inserted the comments back I got this error:

sqlalchemy.exc.ProgrammingError: (psycopg2.errors.InsufficientPrivilege) permission denied for schema twitter
LINE 5: FROM twitter.tweet_tags

This is another error when I try to run the commands on their own in the psql bot:

ERROR:  permission denied for schema twitter
mikeizbicki commented 4 years ago

Sorry, I had your permissions misconfigured. The commands should work now.

Stefanos-stk commented 4 years ago

I am not sure if I can get the Bert up and running soon, so if you could send me the solution that would be great. I tried a lot of stuff but I kept bumping into rabbit holes of debugging.

Also, I am running this command:

    date_trunc('day',created_at) as day,avg(anger),stddev(anger) 
    FROM twitter.tweet_sentiment inner join twitter.tweets on tweet_sentiment.id_tweets=tweets.id_tweets 
    group by day order by day desc;

to get the sentiments for each day, however this is taking a while now (20 minutes). I am going to run more tweets to get evaluated and sent to the database so we have more data. Is this going to cause the other process to slow down? I am assuming the rated tweets are on a different site than the existing non-rated ones (the raw tweets)

mikeizbicki commented 4 years ago

I've added files names_transformers.py and names_embeddings.py to the project folder, which are the solutions to parts 2 and 3: https://github.com/mik eizbicki/cmc-csci181/blob/master/project/names_transformers.py

You can run

$ diff names.py names_transformers.py

to see what the exact changes I made for the solution are.

On Tue, 2020-06-23 at 05:42 -0700, Stefanos-stk wrote:

I am not sure if I can get the Bert up and running soon, so if you could send me the solution that would be great. I tried a lot of stuff but I kept bumping into rabbit holes of debugging. Also, I am running this command:     date_trunc('day',created_at) as day,avg(anger),stddev(anger)      FROM twitter.tweet_sentiment inner join twitter.tweets on tweet_sentiment.id_tweets=tweets.id_tweets      group by day order by day desc; to get the sentiments for each day, however this is taking a while now (20 minutes). I am going to run more tweets to get evaluated and sent to the database so we have more data. Is this going to cause the other process to slow down? I am assuming the rated tweets are on a different site than the existing non-rated ones (the raw tweets) — You are receiving this because you commented. Reply to this email directly, view it on GitHub, or unsubscribe.