AaronPo/the-biergarten-app
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Migrate Auth/Brewery/Location repositories to pure Dapper; rename Timer to RowVersion (#237)

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* Integrate Spectre.Console into seed application, use async data loading

* Replace stored-procedure repositories with Dapper-based repositories

Removes the USP_* stored procedures for Auth, Location, and Brewery
data access in favour of services built with Dapper.

Adds a new Features.Locations slice and optimistic concurrency support
for the Brewery slice.

* Add new documentation for Dapper migration/database schema

* Update FluentAssertions to most recent open source ver

* Update XML doc comment in backend projects

* Modify brewery location dto to include denormalized data

* - Updated column names from 'Timer' to 'RowVersion' in schema.sql for
- Introduced new BeerPost entity and updated BreweryPost and BreweryPostLocation entities to use 'RowVersion' for concurrency.
- Modified UserAccount, UserCredential, UserVerification, City, StateProvince, and Country entities to use 'RowVersion' instead of 'Timer'.
- Updated tests and command handlers to reflect changes in concurrency token from 'Timer' to 'RowVersion'.
- Adjusted BreweryDto and BreweryDtoMapper to include 'RowVersion' and updated mapping logic accordingly.
- Ensured all repository methods and interfaces are aligned with the new concurrency handling approach.

* updates

* Add BeerStyle entity and related properties; refactor BreweryDto to remove BeerPosts

* Fix Api.Specs test failures: stale Timer column refs and missing test.user fixture

* Remove repository tests, usages of registration dto used in repo

* archive old stored procs/functions

* update stale docs

* Add instructions for generating cryptographically secure base64 secrets on macOS/Linux and Windows
This commit is contained in:
Aaron Po
2026-08-21 13:09:13 -04:00
committed by Aaron Po
parent b27b5bdb40
commit de1e9ac02b
151 changed files with 2790 additions and 1988 deletions
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16
docs/pipeline/ETHICS-AND-KNOWN-ISSUES.md
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@@ -136,8 +136,8 @@ consumers are informed of the AI-generated origin before engagement.
When forced by the system prompt to generate a "highly specialized technical
brewing detail," the model frequently hallucinates fermentation science and
brewing chemistry. While the resulting text sounds confident, it is
nonsensical to a reader with brewing or scientific expertise.
brewing chemistry. While the resulting text sounds confident, it is nonsensical
to a reader with brewing or scientific expertise.
Small-parameter models such as Gemma 4 E4B cannot reliably satisfy prompts
calling for specialist brewing detail. This is consistent with the **CHOKE**
@@ -262,8 +262,8 @@ idiomatic phrasing.
]
```
When fed into the pipeline, this dataset often causes the model to reason that
a local variant of French is needed, but it often defaults to a standardized
When fed into the pipeline, this dataset often causes the model to reason that a
local variant of French is needed, but it often defaults to a standardized
dialect of French, without cultural or linguistic nuance.
For languages such as Welsh (Wales), Māori (Aotearoa/New Zealand), or Sicilian
@@ -312,10 +312,10 @@ not a source of truth.
Simhi, Itay Itzhak, Fazl Barez, Gabriel Stanovsky, Yonatan Belinkov.
[^llm-bias]:
For example, Blasi et al. (2022), "Systematic Inequalities in Language Technology
Performance across the World's Languages," _ACL Anthology_. The pattern is
consistent with models trained predominantly on English-language web
corpora.
For example, Blasi et al. (2022), "Systematic Inequalities in Language
Technology Performance across the World's Languages," _ACL Anthology_. The
pattern is consistent with models trained predominantly on English-language
web corpora.
[^wp-license]:
Source: