:PROPERTIES:
:ID:       da111b28-6414-48ac-af46-e57342042b98
:END:
#+title: 2022-01-13
* Fixing subscribers with untriggered campaigns :ATTACH:
Campaigns failed to trigger due to [[id:ac416861-ce45-49ac-8b60-f8ea39362135][Migration to common RabbitMQ]] of the
tagpublisher consumer. Because that consumer publishes tag events with the
routing key =recipient.tagged= that were previously only published to AWS
rabbit, they never reached the campaign engine consumer (which is still on AWS).

The migration was performed at [2022-01-12 Wed 10:00], and the issue was
corrected with shoveling changes at [2022-01-13 Thu 10:00]. Subscribers created
during that window need events republished.

#+CAPTION: Fetch events from Athena
#+begin_src sql :exports code :eval never
  select s.*
  from "events.subscribe_v1" as s
  where s.partition_0 = '2022'
  and s.partition_1 = '01'
  and s.partition_2 = '12'
  and s.partition_3 = '10'
  order by s.timestamp
  limit 5
#+end_src

#+CAPTION: First subscriber
#+name: first
#+begin_src http :pretty :select .value :exports both :cache yes
  GET https://mapping.aweberprod.com/cdb8ea96-fadb-4305-acf8-c541cdf7d954
#+end_src

#+RESULTS[2f54d67cd896474b3a8aa3fd3dc8cf1131902670]: first
: 3791573768

#+CAPTION: Last subscriber
#+name: last
#+begin_src http :pretty :select .value :exports both :cache yes
  GET https://mapping.aweberprod.com/7ecf9e65-4a05-4bc5-9c49-d2449c48f5a9
#+end_src

#+RESULTS[ffb7ff9ab6861dd1032b64321116de3a8f5f0f49]: last
: 3791972436

#+HEADER: :cache yes :eval no-export
#+HEADER: :engine postgresql
#+HEADER: :dbhost app.service.production.consul
#+HEADER: :dbuser cp_aweber
#+HEADER: :database app-txn
#+HEADER: :dbpassword mgoQKqV6ztMap8TvL9UuiXx3b27P3DRCGkwnE6jrhy4dfc2eYN
#+begin_src sql
  select count(*) from public.subscriber_tags
  where subscriber_id BETWEEN 3791573768 and 3791972436
  AND tags != '{}'
  LIMIT 1
#+end_src

#+RESULTS[2bff9d72eb19f37c2ce29cd2cadec12e0284a2c7]:
| count |
|-------|
| 96418 |

#+HEADER: :var dsn="postgresql://cp_aweber:mgoQKqV6ztMap8TvL9UuiXx3b27P3DRCGkwnE6jrhy4dfc2eYN@app.service.production.consul/app-txn"
#+HEADER: :var amqp_url="amqp://admin:rabbitmq@rabbitmq.aweberprod.com:5672/%2F"
#+begin_src python :results output :eval never
  import datetime
  import io
  import time
  import uuid

  import fastavro
  import pika
  import psycopg
  import pytz
  import requests

  DATUM_MIME_TYPE = 'application/vnd.apache.avro.datum'
  schema = fastavro.parse_schema(
      requests.get("http://schema.aweberprod.com/avro/tag.v1.avsc").json()
  )

  correlation_id = "28c8e007-adad-4ad6-9dab-7caafe5ab126"
  timestamp = str(datetime.datetime.utcnow().replace(microsecond=0, tzinfo=pytz.UTC))


  def events():
      with psycopg.connect(dsn) as conn:
          with conn.cursor() as cur:
              cur.execute(
                  """
                  SELECT accounts.account, lists.list, subs.id, tags.tags
                  FROM public.subscriber_tags AS tags
                  JOIN list.subscribers AS subs ON (tags.subscriber_id = subs.id)
                  JOIN accounts ON (accounts.a_id = subs.account_id)
                  JOIN autoresponders AS lists ON (lists.a_serv_id = subs.list_id)
                  WHERE tags.subscriber_id BETWEEN 3791573768 AND 3791972436
                  AND tags != '{}'
              """
              )
              for row in cur:
                  account_uuid, list_uuid, subscriber_id, tags = row
                  mapping = requests.get(
                      f"https://mapping.aweberprod.com/subscriber/{subscriber_id}"
                  )
                  if mapping.status_code != 200:
                      print(f"Error looking up mapping for subscriber {subscriber_id}")
                      continue
                  subscriber_uuid = mapping.json()["id"]
                  for tag in tags:
                      body = {
                          "account": str(account_uuid),
                          "list": str(list_uuid),
                          "recipient": str(subscriber_uuid),
                          "timestamp": timestamp,
                          "id": "",
                          "label": tag,
                      }
                      properties = {
                          "app_id": 'correl/1.0.0',
                          "correlation_id": correlation_id,
                          "message_id": uuid.uuid4().hex,
                          "type": "tag.v1",
                          "content_type": DATUM_MIME_TYPE,
                          "timestamp": int(time.time()),
                          "priority": 1
                      }
                      yield body, properties

  conn = pika.BlockingConnection(
      pika.URLParameters(amqp_url)
  )
  channel = conn.channel()
  sent = 0
  for body, properties in events():
      stream = io.BytesIO()
      fastavro.schemaless_writer(
          stream, schema, body
      )
      payload = stream.getvalue()
      channel.basic_publish(
          "events",
          "recipient.tagged",
          payload,
          pika.BasicProperties(**properties),
      )
      sent += 1
  conn.close()

  print(f"Sent {sent} tagging events.")
#+end_src

#+RESULTS:
: Sent 33336 tagging events.

Looking up the last subscriber processed in Athena.
#+begin_src sql :eval never
  select *
  from "events.tag_v1" as s
  where s.partition_0 = '2022'
  and s.partition_1 = '01'
  and s.partition_2 = '13'
  and s.amqp_message.app_id = 'correl/1.0.0'
  order by s.amqp_message.timestamp desc
  limit 1
#+end_src

Editing the script and resuming from the last subscriber processed.

[[file:data/da/111b28-6414-48ac-af46-e57342042b98/replaytags.py]]

Updated again to speed it up with concurrent mapping calls.

[[file:data/da/111b28-6414-48ac-af46-e57342042b98/replaytags2.py]]

#+begin_example
Emitting tag.v1 events  [####################################]  67018/67018  100%
Sent 159801 tagging events.
#+end_example

Success.

.... #&$*(@&#. UTC. Missed the last five hours of events that need replaying.