Estatísticas para membros do grupo

Estou procurando uma consulta que me forneça estatísticas de uso/participação para todos os usuários de um grupo específico. Temos voluntários que ajudam a comunidade e os mantemos todos no grupo principal “ninjas”. Quero obter uma tabela com dados que incluam coisas como: visitas, tópicos lidos, posts lidos, tópicos criados, tópicos respondidos, contagem de mensagens privadas, curtidas dadas, curtidas recebidas, etc. Gostaria de poder inserir o período de tempo e o nome do grupo como parâmetros. Comecei com esta consulta que encontrei neste tópico, mas não tenho certeza de como limitá-la a um grupo específico.

-- [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

Esta consulta tem praticamente tudo nela. Gostaria de ver se time_read poderia ser adicionado como uma coluna.

Estatísticas para membros do grupo

Vamos tentar isso:

  1. Defina os parâmetros:
-- int :limit = 10
-- int :group_id = 3

Eu sempre uso 10 (dez) como limite, mas você pode alterar isso.
E o “group_id” aqui é 3 (para o grupo de staff). Altere conforme sua necessidade.

  1. Vamos ver a consulta:
-- [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. Por favor, teste e me diga sua opinião :blush:

Obrigado! Isso está ficando bem mais próximo do que eu estava procurando. Existe uma maneira de filtrar pelo grupo principal? Temos alguns usuários que estão em vários grupos e eu gostaria de refinar a busca pelo grupo principal deles. Além disso, onde posso ver o group_Id? Em /groups consigo ver os nomes de todos os nossos grupos, mas não seus números.

Não conheço a URL do seu fórum, mas você pode verificar o ID do grupo aqui:
https://your-forum/groups.json

Você verá um arquivo JSON com todos os grupos; basta procurar o grupo e verificar o campo “id”. :+1:

Isso funcionou perfeitamente! O que seria necessário para adicionar os seguintes valores a essa consulta?

  • pontuação do post
  • contagem de posts deles que foram marcados como resolvidos por outra pessoa
  • contagem de tópicos ou posts deles que foram marcados como favoritos por outra pessoa
  • contagem de bandeiras (flags) dadas a outros
  • contagem de bandeiras (flags) recebidas contra eles
  • tempo total de leitura

Eu tentei adicionar o tempo de leitura por conta própria…

-- [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

Os resultados para o tempo de leitura parecem estar errados, mas tenho certeza de que é por causa 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
),

Então, removi isso e obtive algo mais realista. Não tenho certeza se, ao remover isso, também estou excluindo o tempo de leitura baseado no período de tempo.

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