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Mohidul Islam bbd2ccbad9 Added google and facebook reviewcount in one graph преди 3 години
analytics b051cf4c26 added yelp data to weekly analytics mail body преди 4 години
dashboard ee2d7d3cc7 added yelp data to the manager dashboard преди 4 години
facebook_app e92ead1645 link added to the facebook review преди 4 години
gauth 3a9ac3df7b add weekly review summary on location page преди 3 години
manager bbd2ccbad9 Added google and facebook reviewcount in one graph преди 3 години
media cf6c505575 added word cloud to manager review list page преди 4 години
name_extractor 79437a1a3f Remove yelp преди 4 години
nlu_job 86fd6c77db Change ner model with a url of ner server преди 4 години
review d6a61fb802 Change model remport generator fiel преди 4 години
review_automation 2d70dd22c7 Added graph to location lists преди 3 години
static 3a9ac3df7b add weekly review summary on location page преди 3 години
static_root 9d90886dc5 shown all replies to the frontand преди 5 години
user 77c42751b2 added yelp graphs in manager dashboard преди 4 години
yelp 07fb27a1c8 Chage yelp review class преди 3 години
.gitignore cf6c505575 added word cloud to manager review list page преди 4 години
README.md 8d6d46db79 Structure settings and wsgi for development and production environment преди 5 години
client_secrets.json 575b45840a Change the client_secret.json file with mybusiness secret info преди 5 години
manage.py c2f3d7d8c6 Fixes an existance issue преди 5 години
requirements.txt fcb021bbbd changed yelp scrapper library beautifulsoup to mechanicalsoup преди 4 години
review_automation.sql 57b948649d filter comment before storing преди 4 години

README.md

Byte Trek Reputation Management

Installation:

1. Clone The reporsitory

➜  git clone http://bytetrek.com:30000/ByteTrek-Projects/review-automation-backend.git

2. Create a virtual environment and active it.

➜  python3 -m venv env
➜  source env/bin/activate

3. Create a mysql database and import the .sql file

(env) ➜  mysql -u root -h localhost -p                 # mysql -u user -h host -p
mysql> CREATE DATABASE review_automation;
mysql> SHOW DATABASES;                                 # Make sure database is created or not.
exit                                                   # Exit out of the mysql prompt
(env) ➜  mysql -u root -p review_automation < review_automation.sql
# Make sure everything is just fine.
(env) ➜  mysql -u root -h localhost -p
mysql> USE review_automation;
mysql> SHOW TABLES;

4. Run the development server

(env) ➜ python manage.py runserver --settings=review_automation.settings.dev

5. Add all corn jobs

(env) ➜ python manage.py crontab add --settings=review_automation.settings.dev
# Make sure corn job has added successfully
(env) ➜ crontab -l                                     # Return list of cronjobs

6. Some usefull management command

  • Store all un-recorded reviews to the database.

    (env) ➜ python manage.py collect_reviews --settings=review_automation.settings.dev
    
    • Get model prediction report.

      (env) ➜ python manage.py model_report n_days
      # Example for last 30 days:
      (env) ➜ python manage.py model_report 30 --settings=review_automation.settings.dev