Statistiques pour les membres du groupe

Je recherche une requête qui me fournirait des statistiques d’utilisation/de participation pour tous les utilisateurs d’un groupe spécifique. Nous avons des bénévoles qui aident la communauté et nous les avons tous regroupés dans le groupe principal « ninjas ». Je souhaite obtenir un tableau contenant des données incluant des éléments tels que : visites, sujets lus, messages lus, sujets créés, sujets auxquels répondu, nombre de messages privés, likes donnés, likes reçus, etc. J’aimerais pouvoir saisir la période et le nom du groupe en tant que paramètres. J’ai commencé avec cette requête que j’ai trouvée dans ce sujet, mais je ne suis pas sûr de savoir comment la limiter à un groupe spécifique.

-- [params]
-- int :from_days_ago = 0
-- int :duration_days = 30

with
t as (
  select 
    CURRENT_TIMESTAMP - ((:from_days_ago + :duration_days) * (INTERVAL '1 days')) as start,
    CURRENT_TIMESTAMP - (:from_days_ago * (INTERVAL '1 days')) as end
),
pr as (
    select user_id, 
        count(1) as visits,
        sum(posts_read) as posts_read
    from user_visits, t
    where posts_read > 0
    and visited_at > t.start
    and visited_at < t.end
    group by user_id
),
pc as (
  select user_id, 
      count(1) as posts_created
  from posts, t
  where created_at > t.start
  and created_at < t.end
  group by user_id
),
ttopics as (
 select user_id, posts_count
  from topics, t
  where created_at > t.start
  and created_at < t.end
),
tc as (
  select user_id, 
      count(1) as topics_created
  from ttopics
  group by user_id
),
twr as (
  select user_id, 
      count(1) as topics_with_replies
  from ttopics
  where posts_count > 1
  group by user_id
),
tv as (
 select user_id, 
        count(distinct(topic_id)) as topics_viewed
  from topic_views, t
  where viewed_at > t.start
  and viewed_at < t.end
  group by user_id
),
likes as (
  select 
      post_actions.user_id as given_by_user_id, 
      posts.user_id as received_by_user_id
  from t, post_actions
  left join posts
  on post_actions.post_id = posts.id
  where post_actions.created_at > t.start
  and post_actions.created_at < t.end
  and post_action_type_id = 2

),
lg as (
  select given_by_user_id as user_id, 
      count(1) as likes_given
  from likes
  group by user_id
),
lr as (
  select received_by_user_id as user_id, 
      count(1) as likes_received
  from likes
  group by user_id
),
e as (
  select email, user_id
  from user_emails u
  where u.primary = true
)
select pr.user_id,
       username,
       name,
       email,
       visits, 
       coalesce(topics_viewed,0) as topics_viewed,
       coalesce(posts_read,0) as posts_read, 
       coalesce(posts_created,0) as posts_created,
       coalesce(topics_created,0) as topics_created,
       coalesce(topics_with_replies,0) as topics_with_replies,
       coalesce(likes_given,0) as likes_given,
       coalesce(likes_received,0) as likes_received
from pr
left join tv using (user_id)
left join pc using (user_id)
left join tc using (user_id)
left join twr using (user_id)
left join lg using (user_id)
left join lr using (user_id)
left join e using (user_id)
left join users on pr.user_id = users.id
order by 
  visits desc, 
  posts_read desc, 
  posts_created desc

Cette requête contient pratiquement tout ce qu’il faut. J’aimerais voir si time_read pourrait être ajouté en tant que colonne.

Statistiques pour les membres du groupe

Essayons ceci :

  1. Définir les paramètres :
-- int :limit = 10
-- int :group_id = 3

J’utilise toujours 10 (dix) comme limite, mais vous pouvez la modifier.
Et le « group_id » ici est 3 (pour le groupe du personnel). Modifiez selon vos besoins.

  1. Examinons la requête :
-- [params]
-- int :from_days_ago = 0
-- int :duration_days = 30
-- int :limit = 10
-- int :group_id = 3

with
t as (
  select 
    CURRENT_TIMESTAMP - ((:from_days_ago + :duration_days) * (INTERVAL '1 days')) as start,
    CURRENT_TIMESTAMP - (:from_days_ago * (INTERVAL '1 days')) as end
),
pr as (
    select user_id, 
        count(1) as visits,
        sum(posts_read) as posts_read
    from user_visits, t
    where posts_read > 0
    and visited_at > t.start
    and visited_at < t.end
    group by user_id
),
pc as (
  select user_id, 
      count(1) as posts_created
  from posts, t
  where created_at > t.start
  and created_at < t.end
  group by user_id
),
ttopics as (
 select user_id, posts_count
  from topics, t
  where created_at > t.start
  and created_at < t.end
),
tc as (
  select user_id, 
      count(1) as topics_created
  from ttopics
  group by user_id
),
twr as (
  select user_id, 
      count(1) as topics_with_replies
  from ttopics
  where posts_count > 1
  group by user_id
),
tv as (
 select user_id, 
        count(distinct(topic_id)) as topics_viewed
  from topic_views, t
  where viewed_at > t.start
  and viewed_at < t.end
  group by user_id
),
likes as (
  select 
      post_actions.user_id as given_by_user_id, 
      posts.user_id as received_by_user_id
  from t, post_actions
  left join posts
  on post_actions.post_id = posts.id
  where post_actions.created_at > t.start
  and post_actions.created_at < t.end
  and post_action_type_id = 2

),
lg as (
  select given_by_user_id as user_id, 
      count(1) as likes_given
  from likes
  group by user_id
),
lr as (
  select received_by_user_id as user_id, 
      count(1) as likes_received
  from likes
  group by user_id
),
e as (
  select email, user_id
  from user_emails u
  where u.primary = true
)
select pr.user_id,
       username,
       name,
       email,
       visits, 
       coalesce(topics_viewed,0) as topics_viewed,
       coalesce(posts_read,0) as posts_read, 
       coalesce(posts_created,0) as posts_created,
       coalesce(topics_created,0) as topics_created,
       coalesce(topics_with_replies,0) as topics_with_replies,
       coalesce(likes_given,0) as likes_given,
       coalesce(likes_received,0) as likes_received
from pr
left join tv using (user_id)
left join pc using (user_id)
left join tc using (user_id)
left join twr using (user_id)
left join lg using (user_id)
left join lr using (user_id)
left join e using (user_id)
left join users on pr.user_id = users.id
left join group_users on pr.user_id = group_users.user_id
WHERE group_users.group_id = :group_id
order by 
  visits desc, 
  posts_read desc, 
  posts_created desc
LIMIT :limit
  1. Veuillez l’essayer et me donner votre avis :blush:
5 « J'aime »

Merci ! Cela se rapproche beaucoup de ce que je recherchais. Existe-t-il un moyen de filtrer par groupe principal ? Nous avons certains utilisateurs qui appartiennent à plusieurs groupes et je voudrais affiner la recherche en fonction de leur groupe principal. De plus, où puis-je voir l’ID du groupe (group_Id) ? Dans /groups, je peux voir les noms de tous nos groupes, mais pas leurs numéros.

Je ne connais pas l’URL de votre forum, mais vous pouvez vérifier l’ID du groupe ici :
https://your-forum/groups.json

Vous verrez un fichier JSON contenant tous les groupes ; il vous suffit de rechercher le groupe et de vérifier l’« id ». :+1:

1 « J'aime »

Cela a fonctionné parfaitement ! Que faudrait-il pour ajouter les valeurs suivantes à cette requête ?

  • Score du post
  • Nombre de leurs posts marqués comme résolus par quelqu’un d’autre
  • Nombre de leurs sujets ou posts favorisés par quelqu’un d’autre
  • Nombre de signalements faits à d’autres
  • Nombre de signalements reçus contre eux
  • Temps total de lecture

J’ai essayé d’ajouter le temps de lecture moi-même…

-- [params]
-- int :from_days_ago = 0
-- int :duration_days = 30
-- int :limit = 30
-- int :group_id = 18

with
t as (
  select 
    CURRENT_TIMESTAMP - ((:from_days_ago + :duration_days) * (INTERVAL '1 days')) as start,
    CURRENT_TIMESTAMP - (:from_days_ago * (INTERVAL '1 days')) as end
),
pr as (
    select user_id, 
        count(1) as visits,
        sum(posts_read) as posts_read
    from user_visits, t
    where posts_read > 0
    and visited_at > t.start
    and visited_at < t.end
    group by user_id
),
tr as (
    select user_id, 
        count(1) as time_read
    from user_visits, t
    where visited_at > t.start
    and visited_at < t.end
    group by user_id
),
pc as (
  select user_id, 
      count(1) as posts_created
  from posts, t
  where created_at > t.start
  and created_at < t.end
  group by user_id
),
ttopics as (
 select user_id, posts_count
  from topics, t
  where created_at > t.start
  and created_at < t.end
),
tc as (
  select user_id, 
      count(1) as topics_created
  from ttopics
  group by user_id
),
twr as (
  select user_id, 
      count(1) as topics_with_replies
  from ttopics
  where posts_count > 1
  group by user_id
),
tv as (
 select user_id, 
        count(distinct(topic_id)) as topics_viewed
  from topic_views, t
  where viewed_at > t.start
  and viewed_at < t.end
  group by user_id
),
likes as (
  select 
      post_actions.user_id as given_by_user_id, 
      posts.user_id as received_by_user_id
  from t, post_actions
  left join posts
  on post_actions.post_id = posts.id
  where post_actions.created_at > t.start
  and post_actions.created_at < t.end
  and post_action_type_id = 2

),
lg as (
  select given_by_user_id as user_id, 
      count(1) as likes_given
  from likes
  group by user_id
),
lr as (
  select received_by_user_id as user_id, 
      count(1) as likes_received
  from likes
  group by user_id
),
e as (
  select email, user_id
  from user_emails u
  where u.primary = true
)
select pr.user_id,
       visits, 
       coalesce(time_read,0) as time_read,
       coalesce(topics_viewed,0) as topics_viewed,
       coalesce(posts_read,0) as posts_read, 
       coalesce(posts_created,0) as posts_created,
       coalesce(topics_created,0) as topics_created,
       coalesce(topics_with_replies,0) as topics_with_replies,
       coalesce(likes_given,0) as likes_given,
       coalesce(likes_received,0) as likes_received
from pr
left join tv using (user_id)
left join tr using (user_id)
left join pc using (user_id)
left join tc using (user_id)
left join twr using (user_id)
left join lg using (user_id)
left join lr using (user_id)
left join e using (user_id)
left join users on pr.user_id = users.id
left join group_users on pr.user_id = group_users.user_id
WHERE group_users.group_id = :group_id
order by 
  visits desc, 
  posts_read desc, 
  posts_created desc
LIMIT :limit

Les résultats pour le temps de lecture semblent incorrects, mais je suis sûr que c’est à cause de :

tr as (
    select user_id, 
        count(1) as time_read
    from user_visits, t
    where visited_at > t.start
    and visited_at < t.end
    group by user_id
),

J’ai donc supprimé cela et obtenu quelque chose de plus réaliste. Je ne suis pas sûr que, en supprimant cela, j’exclus également le temps de lecture basé sur la période définie.

    where visited_at > t.start
    and visited_at < t.end

1 « J'aime »