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Mohidul Islam b2f9a0c96b Added weekly summary with bad reviews пре 5 година
analytics b2f9a0c96b Added weekly summary with bad reviews пре 5 година
dashboard e50891966f Change token url to improve security пре 5 година
gauth b39c3b7359 Change Google My Business authentication mechanism пре 5 година
name_extractor b2f9a0c96b Added weekly summary with bad reviews пре 5 година
nlu_job cf6aa09c8f Added a field to custom reply and fix all issues associate with it пре 5 година
review cf6aa09c8f Added a field to custom reply and fix all issues associate with it пре 5 година
review_automation d36ee8e728 Fix a bug on settings пре 5 година
static_root 9d90886dc5 shown all replies to the frontand пре 5 година
.gitignore bdf2ea13b0 added a new app named analytics for analysis staff пре 5 година
README.md 8d6d46db79 Structure settings and wsgi for development and production environment пре 5 година
client_secrets.json 575b45840a Change the client_secret.json file with mybusiness secret info пре 5 година
manage.py 011448b6f6 Rename the project gauth to review_automation пре 5 година
requirements.txt b513094b47 update requirements.txt пре 5 година
review_automation.sql 33e72e634c Update database пре 5 година
review_data_set.csv af2df15a27 Update review dataset пре 5 година
signature_care_review_url.json 4893e1a464 Add an utility function that return all bad review пре 5 година

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