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jma 
perf(docker): speed up the dev and test stack

This stack serves the test suite and `scripts/setup`, whose data
is always thrown away, so it can trade durability and production
sizing for speed.

* add an `init` service putting a legacy template that brings the
  development indices down to one shard and no replica: the
  `record` template asks for 8, sized for production, and every
  search fans out over all of them
* relax every PostgreSQL durability guarantee, here and not in
  docker-services.yml, which is the base of the production
  example
* put the template back in the `search` fixture after each
  `put_templates`, whose recovery branches wipe all templates

`docker compose up -d` returns as soon as the containers are
started, so an index created right after would keep the 8 shards:
measured three times out of three, `init` is still running and the
template returns 404 when it returns. A `gate` service closes that
window inside the compose file, by depending on `init` having
completed and on all four services being healthy. Healthchecks
added to `db` and `cache`, which had none.

Plain `docker compose up -d` therefore guarantees the whole stack,
and no caller needs a second command: docker/wait-for-services.sh
is deleted, unused since .travis.yml disappeared in 2020.

Measured from a cold stack: `up -d` blocks 8 s and returns 0 with
the template installed; a template rejected by Elasticsearch makes
it return 1 with `service "init" didn't complete successfully:
exit 22`; a service that never turns healthy makes it return 1
once its retries are exhausted, rather than hanging.

The shard count stays out of `scripts/setup`, which also runs on
the test servers, where the production defaults are the right
ones.

Co-Authored-By: Johnny Mariéthoz <Johnny.Mariethoz@rero.ch>
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

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