drop view if exists public.analytics_generation_signals;
drop view if exists public.analytics_download_events_inferred;
drop view if exists public.analytics_generation_outcomes;

create view public.analytics_generation_outcomes as
select
  g.generation_id,
  g.timestamp as generation_timestamp,
  g.source,
  g.caller_app,
  g.pipeline,
  g.analytics_opt_in,
  g.status,
  g.error_bucket,
  exists (
    select 1
    from public.analytics_download_events d
    where d.generation_id = g.generation_id
  ) as has_download
from public.analytics_generation_events g;

create view public.analytics_download_events_inferred as
select
  d.id,
  d.generation_id,
  d.timestamp,
  d.product,
  d.caller_app,
  d.source,
  d.pipeline,
  d.tool_name,
  d.analytics_opt_in,
  d.format,
  d.anonymous_id,
  d.qr_payload_full,
  d.seed,
  d.created_at,
  case
    when d.tool_name like '%_standard' then 'standard'
    when d.tool_name like '%_artistic' then 'artistic'
    when d.source = 'mcp' and d.tool_name like '%_1' then 'standard'
    when d.source = 'mcp' and d.tool_name not like '%_1' then 'artistic'
    else d.pipeline
  end as pipeline_inferred
from public.analytics_download_events d;

create view public.analytics_generation_signals as
with ordered_generations as (
  select
    g.id,
    g.generation_id,
    g.timestamp,
    g.product,
    g.caller_app,
    g.source,
    g.pipeline,
    g.tool_name,
    g.analytics_opt_in,
    g.status,
    g.error_bucket,
    g.anonymous_id,
    g.prompt_full,
    g.qr_payload_full,
    g.settings_full,
    g.created_at,
    lead(g.timestamp) over (
      partition by g.source, g.anonymous_id, g.pipeline, coalesce(g.caller_app, '')
      order by g.timestamp
    ) as next_generation_timestamp
  from public.analytics_generation_events g
), generation_with_downloads as (
  select
    g.generation_id,
    g.timestamp,
    g.product,
    g.caller_app,
    g.source,
    g.pipeline,
    g.analytics_opt_in,
    g.status,
    g.error_bucket,
    g.anonymous_id,
    g.prompt_full,
    g.qr_payload_full,
    g.settings_full,
    g.next_generation_timestamp,
    exists (
      select 1
      from public.analytics_download_events d
      where d.source = g.source
        and coalesce(d.caller_app, '') = coalesce(g.caller_app, '')
        and d.anonymous_id = g.anonymous_id
        and d.timestamp >= g.timestamp
        and d.timestamp <= g.timestamp + interval '10 minutes'
    ) as has_download_within_10m
  from ordered_generations g
)
select
  generation_id,
  timestamp,
  product,
  caller_app,
  source,
  pipeline,
  analytics_opt_in,
  status,
  error_bucket,
  anonymous_id,
  prompt_full,
  qr_payload_full,
  settings_full,
  has_download_within_10m,
  next_generation_timestamp,
  case
    when error_bucket = 'infra_limited' then 'infra_limited'
    when status = 'success' and has_download_within_10m then 'happy'
    when status = 'success'
      and next_generation_timestamp is not null
      and next_generation_timestamp <= timestamp + interval '10 minutes'
      and not has_download_within_10m then 'unhappy'
    when status = 'error' then 'error'
    else 'neutral'
  end as outcome_signal
from generation_with_downloads;