22 Commits

Author SHA1 Message Date
Aaron Po
3c7e74e3c1 update readme 2026-04-08 11:27:37 -04:00
Aaron Po
b1ac3a6068 fix: remove outdated data source information from help message 2026-04-07 18:02:21 -04:00
Aaron Po
06d329cac5 refactor 2026-04-07 17:55:15 -04:00
Aaron Po
54c403526b fix: improve error handling and logging in data generation pipeline 2026-04-07 13:36:59 -04:00
Aaron Po
b8e96a6d45 replace SQLite geo pipeline with curated in-memory locations 2026-04-07 02:28:15 -04:00
Aaron Po
60ee2ecf74 add prompts 2026-04-03 15:53:04 -04:00
Aaron Po
e4e16a5084 fix: address critical correctness, reliability, and design issues in pipeline
CORRECTNESS FIXES:
- json_loader: Add RollbackTransaction() and call it on exception instead of
  CommitTransaction(). Prevents partial data corruption on parse/disk errors.
- wikipedia_service: Fix invalid MediaWiki API parameter explaintext=true ->
  explaintext=1. Now returns plain text instead of HTML markup in contexts.
- helpers: Fix ParseTwoLineResponse filter to only remove known thinking tags
  (<think>, <reasoning>, <reflect>) instead of any <...> pattern. Prevents
  silently removing legitimate output like <username>content</username>.

RELIABILITY & DESIGN IMPROVEMENTS:
- load/main: Make n_ctx (context window size) configurable via --n-ctx flag
  (default 2048, range 1-32768) to support larger models like Qwen3-14B.
- generate_brewery: Prevent retry prompt growth by extracting location context
  into constant and using compact retry format (error + schema + location only).
  Avoids token truncation on final retry attempts.
- database: Fix data representativeness by changing QueryCities from
  ORDER BY name (alphabetic bias) to ORDER BY RANDOM() for unbiased sampling.
  Convert all SQLITE_STATIC to SQLITE_TRANSIENT to prevent use-after-free risks.

POLISH:
- infer: Advance sampling seed between generation calls to improve diversity
  across brewery and user generation.
- data_downloader: Remove unnecessary commit hash truncation; use full hash.
- json_loader: Fix misleading log message from "RapidJSON" to "Boost.JSON".
2026-04-03 11:58:00 -04:00
Aaron Po
8d306bf691 Update documentation for llama 2026-04-02 23:24:06 -04:00
Aaron Po
077f6ab4ae edit prompt 2026-04-02 22:56:18 -04:00
Aaron Po
534403734a Refactor BiergartenDataGenerator and LlamaGenerator 2026-04-02 22:46:00 -04:00
Aaron Po
3af053f0eb format codebase 2026-04-02 21:46:46 -04:00
Aaron Po
ba165d8aa7 Separate llama generator class src file into method files 2026-04-02 21:37:46 -04:00
Aaron Po
eb9a2767b4 Refactor web client interface and related components 2026-04-02 18:55:58 -04:00
Aaron Po
29ea47fdb6 update cli arg handling 2026-04-02 18:41:25 -04:00
Aaron Po
52e2333304 Reorganize directory structure 2026-04-02 18:27:01 -04:00
Aaron Po
a1f0ca5b20 Refactor DataDownloader and CURLWebClient: update constructor and modify FileExists method signature 2026-04-02 18:06:40 -04:00
Aaron Po
2ea8aa52b4 update readme and add clangformat and clang tidy 2026-04-02 17:12:22 -04:00
Aaron Po
98083ab40c Pipeline: add CURL/WebClient & Wikipedia service
Introduce a pluggable web client interface and concrete CURL implementation: adds IWebClient, CURLWebClient, and CurlGlobalState (headers + curl_web_client.cpp). DataDownloader now accepts an IWebClient and delegates downloads. Add WikipediaService for cached Wikipedia summary lookups. Refactor SqliteDatabase to return full City records and update consumers accordingly. Improve JsonLoader to use batched transactions during streaming parses. Enhance LlamaGenerator with sampling options, increased token limits, JSON extraction/validation, and other parsing helpers. Modernize CMake: set policy/version, add project_options, simplify FetchContent usage (spdlog), require Boost components (program_options/json), list pipeline sources explicitly, and tweak post-build/memcheck targets. Update README to match implementation changes and new CLI/config conventions.
2026-04-02 16:29:16 -04:00
Aaron Po
ac136f7179 Enhance brewery generation: add country name parameter and improve prompt handling 2026-04-02 01:04:41 -04:00
Aaron Po
280c9c61bd Implement Llama-based brewery and user data generation; remove mock generator and related files 2026-04-01 23:29:16 -04:00
Aaron Po
248a51b35f cleanup 2026-04-01 21:35:02 -04:00
Aaron Po
35aa7bc0df Begin work on biergarten data generator pipeline 2026-04-01 21:18:45 -04:00
682 changed files with 170189 additions and 9369 deletions

13
.config/dotnet-tools.json Normal file
View File

@@ -0,0 +1,13 @@
{
"version": 1,
"isRoot": true,
"tools": {
"csharpier": {
"version": "1.2.1",
"commands": [
"csharpier"
],
"rollForward": false
}
}
}

View File

@@ -1,4 +1,6 @@
{
"$schema": "https://json.schemastore.org/csharpier.json",
"printWidth": 80,
"useTabs": false,
"indentSize": 4,

1
.gitattributes vendored
View File

@@ -1 +0,0 @@
archive/** linguist-vendored

View File

@@ -7,7 +7,6 @@ assignees: []
---
## User Story
**As a** (who wants to accomplish something)
**I want to** (what they want to accomplish)
**So that** (why they want to accomplish that thing)
@@ -16,18 +15,29 @@ assignees: []
### Scenario 1
Given ... When ... Then ...
Given ...
When ...
Then ...
### Scenario 2
Given ... When ... Then ...
Given ...
When ...
Then ...
### Scenario 3
Given ... When ... Then ...
Given ...
When ...
Then ...
## Subtasks
- [ ] Task 1
- [ ] Task 2
- [ ] Task 3

File diff suppressed because it is too large Load Diff

161
README.md
View File

@@ -1,56 +1,40 @@
# The Biergarten App
The Biergarten App is a full-stack directory and discovery platform for
breweries. It features a robust user authentication system, a searchable
database of brewery locations, and a custom offline data-generation pipeline
that uses LLMs (Llama.cpp) and Wikipedia to synthesize realistic seed data.
The Biergarten App is a multi-project monorepo with a .NET backend and an active React
Router frontend in `src/Website`. The current website focuses on account flows, theme
switching, shared UI components, Storybook coverage, and integration with the API.
It features:
## Documentation
- A .NET backend (Web API + database migrations/seed) under `web/backend/`
- A server-rendered React website (React Router + Vite) under `web/frontend/`
- A C++20 “pipeline” CLI for generating seed data under `tooling/pipeline/`
Specialized documentation (setup, architecture, docker, testing, diagrams, and
pipeline notes) lives under `docs/`.
## Documentation (Start Here)
Website + backend (active stack):
- [Getting Started](docs/website/getting-started.md)
- [Architecture](docs/architecture.md)
- [Docker Guide](docs/website/docker.md)
- [Testing](docs/website/testing.md)
- [Environment Variables](docs/website/environment-variables.md)
- [Token Validation](docs/website/token-validation.md)
Data generation pipeline (C++):
- [Pipeline README](docs/pipeline/README.md)
- [Ethics & Known Issues](docs/pipeline/ETHICS-AND-KNOWN-ISSUES.md)
- [Getting Started](docs/getting-started.md) - Local setup for backend and active website
- [Architecture](docs/architecture.md) - Current backend and frontend architecture
- [Docker Guide](docs/docker.md) - Container-based backend development and testing
- [Testing](docs/testing.md) - Backend and frontend test commands
- [Environment Variables](docs/environment-variables.md) - Active configuration reference
- [Token Validation](docs/token-validation.md) - JWT validation architecture
- [Legacy Website Archive](docs/archive/legacy-website-v1.md) - Archived notes for the old Next.js frontend
## Diagrams
- [Architecture](docs/website/diagrams-out/architecture.svg)
- [Deployment](docs/website/diagrams-out/deployment.svg)
- [Authentication Flow](docs/website/diagrams-out/authentication-flow.svg)
- [Database Schema](docs/website/diagrams-out/database-schema.svg)
- [Architecture](docs/diagrams-out/architecture.svg) - Layered architecture
- [Deployment](docs/diagrams-out/deployment.svg) - Docker topology
- [Authentication Flow](docs/diagrams-out/authentication-flow.svg) - Auth sequence
- [Database Schema](docs/diagrams-out/database-schema.svg) - Entity relationships
## Current Status
Active areas in the repository:
- .NET 10 backend (layered architecture) + SQL Server
- React 19 website (React Router 7 + Vite)
- Shared Biergarten theme system + Storybook coverage
- Auth flows and account/email integration (local Mailpit in dev compose)
- Data generation pipeline with C++ and Llama.cpp
- .NET 10 backend with layered architecture and SQL Server
- React Router 7 website in `src/Website`
- Shared Biergarten theme system with a theme guide route
- Storybook stories and browser-based checks for shared UI
- Auth demo flows for home, login, register, dashboard, logout, and confirmation
- Toast-based feedback for auth outcomes
Archived/reference areas:
Legacy area retained for reference:
- `archive/next-js-web-app/` contains an older Next.js frontend retained for
reference
- `src/Website-v1` contains the archived Next.js frontend and is no longer the active website
## Tech Stack
@@ -59,43 +43,36 @@ Archived/reference areas:
- **UI Documentation**: Storybook 10, Vitest browser mode, Playwright
- **Testing**: xUnit, Reqnroll (BDD), FluentAssertions, Moq
- **Infrastructure**: Docker, Docker Compose
- **Security**: Argon2id password hashing, JWT access/refresh/confirmation
tokens
- **Data Pipeline**: C++20, CMake, Boost, libcurl, SQLite, llama.cpp
- **Security**: Argon2id password hashing, JWT access/refresh/confirmation tokens
## Quick Start
For full setup details, use [Getting Started](docs/website/getting-started.md).
This section is the shortest path to a working dev environment.
### Backend (Docker)
### Backend
```bash
git clone https://github.com/aaronpo97/the-biergarten-app
cd the-biergarten-app
cp web/.env.example web/.env.dev
docker compose --env-file web/.env.dev -f web/docker-compose.dev.yaml up --build -d
cp .env.example .env.dev
docker compose -f docker-compose.dev.yaml up -d
```
Backend access:
- API Swagger: http://localhost:8080/swagger
- Health Check: http://localhost:8080/health
- Mailpit UI (dev SMTP): http://localhost:8025
### Frontend (Node)
### Frontend
```bash
cd web/frontend
cd src/Website
npm install
API_BASE_URL=http://localhost:8080 SESSION_SECRET=dev-secret-change-me npm run dev
API_BASE_URL=http://localhost:8080 SESSION_SECRET=dev-secret npm run dev
```
Optional frontend tools:
```bash
cd web/frontend
cd src/Website
npm run storybook
npm run test:storybook
npm run test:storybook:playwright
@@ -104,42 +81,62 @@ npm run test:storybook:playwright
## Repository Structure
```text
web/
backend/ .NET API + domain/service/infrastructure + DB projects
frontend/ React Router website + Storybook + Playwright/Vitest
tooling/
pipeline/ C++20 seed-data generation CLI (CMake)
docs/
architecture.md High-level architecture overview
website/ Backend/frontend setup, docker, testing, diagrams
pipeline/ Pipeline docs, ethics notes, PlantUML diagrams
archive/
next-js-web-app/ Older Next.js frontend (reference only)
src/Core/ Backend projects (.NET)
src/Website/ Active React Router frontend
src/Website-v1/ Archived legacy Next.js frontend
docs/ Active project documentation
docs/archive/ Archived legacy documentation
```
## Key Features
Implemented today:
- User registration and login against the API
- JWT-based auth with access, refresh, and confirmation flows
- SQL Server migrations and seed projects
- Shared form components and auth screens
- Theme switching with Lager, Stout, Cassis, and Weizen variants
- Storybook documentation and automated story interaction tests
- Toast feedback for auth-related outcomes
Planned next:
- Brewery discovery and management
- Beer reviews and ratings
- Social follow relationships
- Geospatial brewery experiences
- Additional frontend routes beyond the auth demo
## Testing
Run the backend test stack with Docker:
Backend suites:
- `API.Specs` - integration tests
- `Infrastructure.Repository.Tests` - repository unit tests
- `Service.Auth.Tests` - service unit tests
Frontend suites:
- Storybook interaction tests via Vitest
- Storybook browser regression checks via Playwright
Run all backend tests with Docker:
```bash
docker compose --env-file web/.env.test -f web/docker-compose.test.yaml up --abort-on-container-exit
docker compose -f docker-compose.test.yaml up --abort-on-container-exit
```
See [Testing](docs/website/testing.md) for the full command list.
See [Testing](docs/testing.md) for the full command list.
## Configuration
Common active variables:
- Backend/Docker: `DB_SERVER`, `DB_NAME`, `DB_USER`, `DB_PASSWORD`,
`ACCESS_TOKEN_SECRET`, `REFRESH_TOKEN_SECRET`, `CONFIRMATION_TOKEN_SECRET`,
`WEBSITE_BASE_URL`
- Frontend runtime: `API_BASE_URL`, `SESSION_SECRET`, `NODE_ENV`
- Backend: `DB_SERVER`, `DB_NAME`, `DB_USER`, `DB_PASSWORD`, `ACCESS_TOKEN_SECRET`, `REFRESH_TOKEN_SECRET`, `CONFIRMATION_TOKEN_SECRET`
- Frontend: `API_BASE_URL`, `SESSION_SECRET`, `NODE_ENV`
See [Environment Variables](docs/website/environment-variables.md) for details.
See [Environment Variables](docs/environment-variables.md) for details.
## Contributing
@@ -148,3 +145,15 @@ See [Environment Variables](docs/website/environment-variables.md) for details.
3. Commit your changes (`git commit -m 'Add amazing feature'`)
4. Push to the branch (`git push origin feature/amazing-feature`)
5. Open a Pull Request
### Development Workflow
1. Start development environment: `docker compose -f docker-compose.dev.yaml up -d`
2. Make changes to code
3. Run tests: `docker compose -f docker-compose.test.yaml up --abort-on-container-exit`
4. Rebuild if needed: `docker compose -f docker-compose.dev.yaml up -d --build api.core`
## Support
- **Documentation**: [docs/](docs/)
- **Architecture**: See [Architecture Guide](docs/architecture.md)

View File

@@ -13,11 +13,7 @@ services:
volumes:
- sqlserverdata-dev:/var/opt/mssql
healthcheck:
test:
[
"CMD-SHELL",
"/opt/mssql-tools18/bin/sqlcmd -S localhost -U sa -P '${DB_PASSWORD}' -C -Q 'SELECT 1' || exit 1",
]
test: ["CMD-SHELL", "/opt/mssql-tools18/bin/sqlcmd -S localhost -U sa -P '${DB_PASSWORD}' -C -Q 'SELECT 1' || exit 1"]
interval: 10s
timeout: 5s
retries: 12
@@ -32,7 +28,7 @@ services:
sqlserver:
condition: service_healthy
build:
context: ./backend/Database
context: ./src/Core/Database
dockerfile: Database.Migrations/Dockerfile
args:
BUILD_CONFIGURATION: Release
@@ -56,7 +52,7 @@ services:
database.migrations:
condition: service_completed_successfully
build:
context: ./backend
context: ./src/Core
dockerfile: Database/Database.Seed/Dockerfile
args:
BUILD_CONFIGURATION: Release

View File

@@ -13,11 +13,7 @@ services:
volumes:
- sqlserverdata-dev:/var/opt/mssql
healthcheck:
test:
[
"CMD-SHELL",
"/opt/mssql-tools18/bin/sqlcmd -S localhost -U sa -P '${DB_PASSWORD}' -C -Q 'SELECT 1' || exit 1",
]
test: [ "CMD-SHELL", "/opt/mssql-tools18/bin/sqlcmd -S localhost -U sa -P '${DB_PASSWORD}' -C -Q 'SELECT 1' || exit 1" ]
interval: 10s
timeout: 5s
retries: 12
@@ -32,7 +28,7 @@ services:
sqlserver:
condition: service_healthy
build:
context: ./backend/Database
context: ./src/Core/Database
dockerfile: Database.Migrations/Dockerfile
args:
BUILD_CONFIGURATION: Release
@@ -56,7 +52,7 @@ services:
database.migrations:
condition: service_completed_successfully
build:
context: ./backend
context: ./src/Core
dockerfile: Database/Database.Seed/Dockerfile
args:
BUILD_CONFIGURATION: Release
@@ -79,7 +75,7 @@ services:
database.seed:
condition: service_completed_successfully
build:
context: ./backend
context: ./src/Core
dockerfile: API/API.Core/Dockerfile
args:
BUILD_CONFIGURATION: Release

View File

@@ -13,11 +13,7 @@ services:
volumes:
- sqlserverdata-dev:/var/opt/mssql
healthcheck:
test:
[
"CMD-SHELL",
"/opt/mssql-tools18/bin/sqlcmd -S localhost -U sa -P '${DB_PASSWORD}' -C -Q 'SELECT 1' || exit 1",
]
test: [ "CMD-SHELL", "/opt/mssql-tools18/bin/sqlcmd -S localhost -U sa -P '${DB_PASSWORD}' -C -Q 'SELECT 1' || exit 1" ]
interval: 10s
timeout: 5s
retries: 12
@@ -32,7 +28,7 @@ services:
sqlserver:
condition: service_healthy
build:
context: ./backend/Database
context: ./src/Core/Database
dockerfile: Database.Migrations/Dockerfile
args:
BUILD_CONFIGURATION: Release
@@ -70,7 +66,7 @@ services:
database.migrations:
condition: service_completed_successfully
build:
context: ./backend
context: ./src/Core
dockerfile: Database/Database.Seed/Dockerfile
args:
BUILD_CONFIGURATION: Release

View File

@@ -11,11 +11,7 @@ services:
volumes:
- sqlserverdata-prod:/var/opt/mssql
healthcheck:
test:
[
"CMD-SHELL",
"/opt/mssql-tools18/bin/sqlcmd -S localhost -U sa -P '${DB_PASSWORD}' -C -Q 'SELECT 1' || exit 1",
]
test: ["CMD-SHELL", "/opt/mssql-tools18/bin/sqlcmd -S localhost -U sa -P '${DB_PASSWORD}' -C -Q 'SELECT 1' || exit 1"]
interval: 10s
timeout: 5s
retries: 12
@@ -31,7 +27,7 @@ services:
sqlserver:
condition: service_healthy
build:
context: ./backend/Database
context: ./src/Core/Database
dockerfile: Database.Migrations/Dockerfile
args:
BUILD_CONFIGURATION: Release
@@ -54,7 +50,7 @@ services:
sqlserver:
condition: service_healthy
build:
context: ./backend
context: ./src/Core
dockerfile: API/API.Core/Dockerfile
args:
BUILD_CONFIGURATION: Release

View File

@@ -12,11 +12,7 @@ services:
volumes:
- sqlserverdata-test:/var/opt/mssql
healthcheck:
test:
[
"CMD-SHELL",
"/opt/mssql-tools18/bin/sqlcmd -S localhost -U sa -P '${DB_PASSWORD}' -C -Q 'SELECT 1' || exit 1",
]
test: [ "CMD-SHELL", "/opt/mssql-tools18/bin/sqlcmd -S localhost -U sa -P '${DB_PASSWORD}' -C -Q 'SELECT 1' || exit 1" ]
interval: 10s
timeout: 5s
retries: 12
@@ -32,7 +28,7 @@ services:
sqlserver:
condition: service_healthy
build:
context: ./backend/Database
context: ./src/Core/Database
dockerfile: Database.Migrations/Dockerfile
args:
BUILD_CONFIGURATION: Release
@@ -56,7 +52,7 @@ services:
database.migrations:
condition: service_completed_successfully
build:
context: ./backend
context: ./src/Core
dockerfile: Database/Database.Seed/Dockerfile
args:
BUILD_CONFIGURATION: Release
@@ -79,7 +75,7 @@ services:
database.seed:
condition: service_completed_successfully
build:
context: ./backend
context: ./src/Core
dockerfile: API/API.Specs/Dockerfile
args:
BUILD_CONFIGURATION: Release
@@ -107,7 +103,7 @@ services:
database.seed:
condition: service_completed_successfully
build:
context: ./backend
context: ./src/Core
dockerfile: Infrastructure/Infrastructure.Repository.Tests/Dockerfile
args:
BUILD_CONFIGURATION: Release
@@ -127,7 +123,7 @@ services:
database.seed:
condition: service_completed_successfully
build:
context: ./backend
context: ./src/Core
dockerfile: Service/Service.Auth.Tests/Dockerfile
args:
BUILD_CONFIGURATION: Release

View File

@@ -4,28 +4,24 @@ This document describes the active architecture of The Biergarten App.
## High-Level Overview
The Biergarten App is a monorepo with a clear split between the backend and the
active website:
The Biergarten App is a monorepo with a clear split between the backend and the active
website:
- **Backend**: .NET 10 Web API with SQL Server and a layered architecture
- **Frontend**: React 19 + React Router 7 website in `src/Website`
- **Architecture Style**: Layered backend plus server-rendered React frontend
The legacy Next.js frontend has been retained in `src/Website-v1` for reference
only and is documented in
[archive/legacy-website-v1.md](archive/legacy-website-v1.md).
The legacy Next.js frontend has been retained in `src/Website-v1` for reference only and is
documented in [archive/legacy-website-v1.md](archive/legacy-website-v1.md).
## Diagrams
For visual representations, see:
- [architecture.svg](diagrams-out/architecture.svg) - Layered architecture
diagram
- [architecture.svg](diagrams-out/architecture.svg) - Layered architecture diagram
- [deployment.svg](diagrams-out/deployment.svg) - Docker deployment diagram
- [authentication-flow.svg](diagrams-out/authentication-flow.svg) -
Authentication workflow
- [database-schema.svg](diagrams-out/database-schema.svg) - Database
relationships
- [authentication-flow.svg](diagrams-out/authentication-flow.svg) - Authentication workflow
- [database-schema.svg](diagrams-out/database-schema.svg) - Database relationships
## Backend Architecture
@@ -222,8 +218,7 @@ public interface IAuthRepository
### Active Website (`src/Website`)
The current website is a React Router 7 application with server-side rendering
enabled.
The current website is a React Router 7 application with server-side rendering enabled.
```text
src/Website/
@@ -249,22 +244,20 @@ src/Website/
### Theme System
The active website uses semantic DaisyUI theme tokens backed by four Biergarten
themes:
The active website uses semantic DaisyUI theme tokens backed by four Biergarten themes:
- Biergarten Lager
- Biergarten Stout
- Biergarten Cassis
- Biergarten Weizen
All component styling should prefer semantic tokens such as `primary`,
`success`, `surface`, and `highlight` instead of hard-coded color values.
All component styling should prefer semantic tokens such as `primary`, `success`,
`surface`, and `highlight` instead of hard-coded color values.
### Legacy Frontend
The previous Next.js frontend has been archived at `src/Website-v1`. Active
product and engineering documentation should point to `src/Website`, while
legacy notes live in
The previous Next.js frontend has been archived at `src/Website-v1`. Active product and
engineering documentation should point to `src/Website`, while legacy notes live in
[archive/legacy-website-v1.md](archive/legacy-website-v1.md).
## Security Architecture
@@ -394,8 +387,8 @@ For details, see [Docker Guide](docker.md).
### Health Checks
**SQL Server**: Validates database connectivity **API**: Checks service health
and dependencies
**SQL Server**: Validates database connectivity **API**: Checks service health and
dependencies
**Configuration**:

View File

@@ -0,0 +1,56 @@
# Legacy Website Archive (`src/Website-v1`)
This archive captures high-level notes about the previous Biergarten frontend so active
project documentation can focus on the current website in `src/Website`.
## Status
- `src/Website-v1` is retained for historical reference only
- It is not the active frontend used by current setup, docs, or testing guidance
- New product and engineering work should target `src/Website`
## Legacy Stack Summary
The archived frontend used a different application model from the current website:
- Next.js 14
- React 18
- Prisma
- Postgres / Neon-hosted database workflows
- Next.js API routes and server-side controllers
- Additional third-party integrations such as Cloudinary, Mapbox, and SparkPost
## Why It Was Archived
The active website moved to a React Router-based frontend that talks directly to the .NET
API. As part of that shift, the main docs were updated to describe:
- `src/Website` as the active frontend
- React Router route modules and server rendering
- Storybook-based component documentation and tests
- Current frontend runtime variables: `API_BASE_URL`, `SESSION_SECRET`, and `NODE_ENV`
## Legacy Documentation Topics Moved Out of Active Docs
The following categories were removed from active documentation and intentionally archived:
- Next.js application structure guidance
- Prisma and Postgres frontend setup
- Legacy frontend environment variables
- External service setup that only applied to `src/Website-v1`
- Old frontend local setup instructions
## When To Use This Archive
Use this file only if you need to:
- inspect the historical frontend implementation
- compare old flows against the current website
- migrate or recover legacy logic from `src/Website-v1`
For all active work, use:
- [Getting Started](../getting-started.md)
- [Architecture](../architecture.md)
- [Environment Variables](../environment-variables.md)
- [Testing](../testing.md)

View File

@@ -1,7 +1,7 @@
# Docker Guide
This document covers Docker deployment, configuration, and troubleshooting for
The Biergarten App.
This document covers Docker deployment, configuration, and troubleshooting for The
Biergarten App.
## Overview
@@ -13,8 +13,7 @@ The project uses Docker Compose to orchestrate multiple services:
- .NET API
- Test runners
See the [deployment diagram](diagrams/pdf/deployment.pdf) for visual
representation.
See the [deployment diagram](diagrams/pdf/deployment.pdf) for visual representation.
## Docker Compose Environments
@@ -145,11 +144,7 @@ api.core / tests (start when ready)
```yaml
healthcheck:
test:
[
"CMD-SHELL",
"sqlcmd -S localhost -U sa -P '${DB_PASSWORD}' -C -Q 'SELECT 1'",
]
test: ['CMD-SHELL', "sqlcmd -S localhost -U sa -P '${DB_PASSWORD}' -C -Q 'SELECT 1'"]
interval: 10s
timeout: 5s
retries: 12
@@ -214,16 +209,16 @@ Each environment uses isolated bridge networks:
All containers are configured via environment variables from `.env` files:
```yaml
env_file: ".env.dev" # or .env.test, .env.prod
env_file: '.env.dev' # or .env.test, .env.prod
environment:
ASPNETCORE_ENVIRONMENT: "Development"
DOTNET_RUNNING_IN_CONTAINER: "true"
DB_SERVER: "${DB_SERVER}"
DB_NAME: "${DB_NAME}"
DB_USER: "${DB_USER}"
DB_PASSWORD: "${DB_PASSWORD}"
JWT_SECRET: "${JWT_SECRET}"
ASPNETCORE_ENVIRONMENT: 'Development'
DOTNET_RUNNING_IN_CONTAINER: 'true'
DB_SERVER: '${DB_SERVER}'
DB_NAME: '${DB_NAME}'
DB_USER: '${DB_USER}'
DB_PASSWORD: '${DB_PASSWORD}'
JWT_SECRET: '${JWT_SECRET}'
```
For complete list, see [Environment Variables](environment-variables.md).

View File

@@ -1,7 +1,7 @@
# Environment Variables
This document covers the active environment variables used by the current
Biergarten stack.
This document covers the active environment variables used by the current Biergarten
stack.
## Overview
@@ -19,8 +19,8 @@ Direct environment variable access via `Environment.GetEnvironmentVariable()`.
### Frontend (`src/Website`)
The active website reads runtime values from the server environment for its auth
and API integration.
The active website reads runtime values from the server environment for its auth and API
integration.
### Docker
@@ -54,15 +54,14 @@ Provide complete connection string:
DB_CONNECTION_STRING="Server=localhost,1433;Database=Biergarten;User Id=sa;Password=YourStrong!Passw0rd;TrustServerCertificate=True;"
```
**Priority**: `DB_CONNECTION_STRING` is checked first. If not found, connection
string is built from components.
**Priority**: `DB_CONNECTION_STRING` is checked first. If not found, connection string is
built from components.
**Implementation**: See `DefaultSqlConnectionFactory.cs`
### JWT Authentication Secrets (Backend)
The backend uses separate secrets for different token types to enable
independent key rotation and validation isolation.
The backend uses separate secrets for different token types to enable independent key rotation and validation isolation.
```bash
# Access token secret (1-hour tokens)
@@ -132,8 +131,8 @@ DOTNET_RUNNING_IN_CONTAINER=true # Flag for container execution
## Frontend Variables (`src/Website`)
The active website does not use the old Next.js/Prisma environment model. Its
core runtime variables are:
The active website does not use the old Next.js/Prisma environment model. Its core runtime
variables are:
```bash
API_BASE_URL=http://localhost:8080 # Base URL for the .NET API
@@ -209,10 +208,9 @@ cp .env.example .env.dev
## Legacy Frontend Variables
Variables for the archived Next.js frontend (`src/Website-v1`) have been removed
from this active reference. See
[archive/legacy-website-v1.md](archive/legacy-website-v1.md) if you need the
legacy Prisma, Cloudinary, Mapbox, or SparkPost notes.
Variables for the archived Next.js frontend (`src/Website-v1`) have been removed from this
active reference. See [archive/legacy-website-v1.md](archive/legacy-website-v1.md) if you
need the legacy Prisma, Cloudinary, Mapbox, or SparkPost notes.
**Docker Compose Mapping**:
@@ -245,8 +243,8 @@ legacy Prisma, Cloudinary, Mapbox, or SparkPost notes.
| `MSSQL_PID` | | | ✓ | No | SQL Server edition |
| `DOTNET_RUNNING_IN_CONTAINER` | ✓ | | ✓ | No | Container flag |
\* Either `DB_CONNECTION_STRING` OR the component variables (`DB_SERVER`,
`DB_NAME`, `DB_USER`, `DB_PASSWORD`) must be provided.
\* Either `DB_CONNECTION_STRING` OR the component variables (`DB_SERVER`, `DB_NAME`,
`DB_USER`, `DB_PASSWORD`) must be provided.
## Validation
@@ -260,8 +258,8 @@ Variables are validated at startup:
### Frontend Validation
The active website relies on runtime defaults for local development and the
surrounding server environment in deployed environments.
The active website relies on runtime defaults for local development and the surrounding
server environment in deployed environments.
- `API_BASE_URL` defaults to `http://localhost:8080`
- `SESSION_SECRET` falls back to a development-only local secret

View File

@@ -1,7 +1,7 @@
# Getting Started
This guide covers local setup for the current Biergarten stack: the .NET backend
in `src/Core` and the active React Router frontend in `src/Website`.
This guide covers local setup for the current Biergarten stack: the .NET backend in
`src/Core` and the active React Router frontend in `src/Website`.
## Prerequisites
@@ -128,9 +128,8 @@ dotnet run --project API/API.Core/API.Core.csproj
## Legacy Frontend Note
The previous Next.js frontend now lives in `src/Website-v1` and is not the
active website. Legacy setup details have been moved to
[docs/archive/legacy-website-v1.md](archive/legacy-website-v1.md).
The previous Next.js frontend now lives in `src/Website-v1` and is not the active website.
Legacy setup details have been moved to [docs/archive/legacy-website-v1.md](archive/legacy-website-v1.md).
## Next Steps

View File

@@ -1,336 +0,0 @@
# Ethics, Bias, and Known Issues
This document covers the ethical context of the Biergarten Pipeline's output,
the model's biases, and known issues including hallucinated brewing science and
low-resource language failures.
> Note that all testing was used using `google_gemma-4-E4B-it-Q6_K.gguf`.
## Table of Contents
- [What This Dataset Is](#what-this-dataset-is)
- [What This Dataset Is Not](#what-this-dataset-is-not)
- [Model Bias and Language Quality](#model-bias-and-language-quality)
- [Western and Eurocentric Lens](#western-and-eurocentric-lens)
- [Wikipedia Enrichment](#wikipedia-enrichment)
- [The "Avoid AI Phrases" Prompt Instruction](#the-avoid-ai-phrases-prompt-instruction)
- [Known Issues](#known-issues)
- [Hallucinated Brewing Techniques](#hallucinated-brewing-techniques)
- [Low-Resource Language Hallucination](#low-resource-language-hallucination)
---
## What This Dataset Is
This is AI-generated fixture data for a proof-of-concept version of The
Biergarten App. Anyone who interacts with an application seeded from this
pipeline must be told upfront that the content is AI-generated.
---
## What This Dataset Is Not
The pipeline is not intended to produce accurate brewing science, faithful
cultural representation, or reliable local-language text. Hallucinations such as
invented fermentation techniques, or incoherent local-language prose, are
expected, observed, and partially documented in [Known Issues](#known-issues)
below.
Human control sits at the context layer (i.e. prompt design, Wikipedia
enrichment). Statistical output shapes in future pipeline stages (check-in
distributions, rating skews, activity profiles) will be handled the same way.
**Treat this data as an exercise in prompt engineering and model behaviour, not
as a source of truth for brewing techniques or cultural representation.**
**Natural language processing, although a powerful tool for data analysis and
generation is to be taken with scrutiny. Human language is not simply just data
points to be analyzed, but it also carries deep cultural and human meaning that
artificial intelligence is incapable of.**
---
## Model Bias and Language Quality
The underlying model's training biases surface within this pipeline. Output
quality tracks with how well a language is represented in the training corpus:
standard French (`fr-FR`) produces coherent text; regional variants like `fr-CD`
and `fr-CI` are noticeably weaker; low-resource languages like Welsh, Māori, and
Sicilian produce output that is syntactically plausible but often semantically
broken.
This is a property of the training distribution, not something that can be
mitigated through prompt design. This is a well-documented characteristic of
large language models trained predominantly on English-language
material.[^llm-bias]
Mitigations are documented in
[Known Issues: Low-Resource Language Hallucination](#low-resource-language-hallucination).
### Western and Eurocentric Lens
The model's training data skews heavily Western and North American. When
generating brewery descriptions for Kinshasa, Abidjan, or Osaka, for example, it
defaults to framing and cultural reference points drawn from that perspective
rather than from the lived context of those cities. Wikipedia enrichment grounds
some generation in city-specific material, but it does not eliminate the skew.
**Output should be read with an understanding of this bias.**
---
## Wikipedia Enrichment
City and beer context is fetched from the Wikipedia API. Wikipedia text is
co-licensed under the **Creative Commons Attribution-ShareAlike 4.0
International License (CC BY-SA 4.0)** and the **GNU Free Documentation License
(GFDL)**.[^wp-license]
Wikipedia's own accuracy limitations and editorial biases can propagate into
generated descriptions.
---
## The "Avoid AI Phrases" Prompt Instruction
The system prompt instructs the model to avoid common AI-generated phrasing
patterns. This is a prompt engineering experiment:
> How far can a model be pushed against its own stylistic defaults?
This is not an attempt to disguise the content as human-written. All downstream
consumers are informed of the AI-generated origin before engagement.
---
## Known Issues
### Hallucinated Brewing Techniques
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 sounds confident, it will be nonsensical
to reader with brewing and/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**
failure mode (Certain Hallucinations Overriding Known Evidence) [^llm-choke]
where a specific-sounding prompt causes a model to produce confident, coherent,
and factually wrong output.
#### Example — Osaka, produced using Gemma 4 E4B
```log
[2026-04-21 15:04:40.258] [info] 11. city="Osaka" country="Japan" state="Osaka" iso3166_2=JP-27 lat=34.6937 lon=135.5023
[2026-04-21 15:04:40.258] [info] brewery_name_en="Kani-no-Kuni Brewing"
[2026-04-21 15:04:40.258] [info] brewery_description_en="The humid scent of takoyaki and savory grilled squid always settles over the neighborhood early in the morning, mingling strangely with the metallic tang of spent grain outside our drying shed. We decided to build this place here because Osaka is a city that never pauses, a place built around the constant exchange of goods and tastes, and that is what we want our beer to reflect. Many people here are accustomed to the dependable, clean taste of the major pale lagers, but we are interested in exploring the deeper, more textured expressions of fermentation. Our base malts are specifically crafted by incorporating strains of local rice, like Yamada Nishiki, which we malt and use not for sake, but for its complex, buttery flavor profile during the mash. This combination, followed by a slow, anaerobic aging process, gives our beers a profound, satisfying depth that stands apart from the hurried mass-market style. The heavy, deep red brick of the original warehouse wall has absorbed decades of Kansai humidity and seasonal rains, creating a patina that tells the exact story of this district's tireless movement. We chose this structure not for its charm, but for its resilience and the sheer density of the local history held within its mortar. Our goal is simply to serve a drink worthy of this powerful trading city. If you are looking for a quiet spot away from the main thoroughfare, look for us just off the side street near Shinsekai."
[2026-04-21 15:04:40.258] [info] brewery_name_local="カニの国ブルワリー"
[2026-04-21 15:04:40.258] [info] brewery_description_local="早朝の、たこ焼きや香ばしいイカ焼きの湿った匂いは、いつも乾燥小屋の外にある使用済み麦芽の金属的な匂いと奇妙に混ざり合って近隣に漂います。私たちはこの場所に店を構えることを決めたのです。なぜなら、大阪は決して止まることのない都市であり、商品と味が絶え間なく交換されることで築かれた場所だからです。地元の多くの方々は、信頼できる大規模な淡麗ラガーの味が習慣になっていますが、私たちは発酵の、より深く、より複雑な表現を探求することに関心があります。私たちのベースモルトは、山田錦のような地元の米の品種を意図的に組み込んで作られています。この米を酒ではなく、麦芽として、仕込みの最中にその複雑でバターのような風味を引き出すために使用しています。この組み合わせを、ゆっくりとした嫌気的な熟成プロセスに続けることで、私たちのビールは、慌ただしい市場のスタイルとは一線を画す、深みのある、満足感のある複雑さを持っています。オリジナルの倉庫の重く深紅のレンガ壁は、関西特有の湿気と季節の雨を何十年も吸収し、この地区の絶え間ない動きの正確な物語を語るような古色を帯びています。私たちはこの構造物を、その魅力のためではなく、その回復力とモルタルに込められた地域の歴史の密度ゆえに選びました。私たちの目標は、ただこの力強い交易都市に値する飲み物を提供することだけです。もしメインの通りから離れた静かな場所をお探しなら、新世界近くの脇道にある私たちを探してください。"
```
A review of the following text for brewing techniques reveals several
inaccuracies, and no comments could be made on the local-language version due to
my own lack of proficiency in Japanese:
#### 1. "Buttery flavours" framed as a desirable malt-derived flavour
**Incorrect.**
Diacetyl is a fermentation byproduct of yeast metabolism, not a malt-derived
compound.[^diacetyl-source] Diacetyl produces a buttery or butterscotch
off-flavour and is carefully managed in many beer styles, in particular lighter
beers, through a process called a _diacetyl rest_. In this process, fermentation
temperature is briefly raised to allow yeast to reabsorb the compound before
packaging.[^diacetyl-rest]
The Oxford Companion to Beer claims that, while low levels are tolerable in some
ales and stouts, diacetyl is considered undesirable at any perceptible
concentration when it results from bacterial contamination or stressed
fermentation.[^oxford-beer]
#### 2. Yamada Nishiki sake rice described as a self-saccharifying base malt
**Incorrect.**
Yamada Nishiki (_山田錦_) is a short-grain Japanese rice bred specifically for
sake production.[^yn-wiki] Its value lies in its large starchy core
(_shinpaku_), low protein content, and amenability to _koji_ mold penetration
during saccharification.[^yn-sakestreet] Sake brewing does not use the grain's
own enzymatic activity for saccharification — it relies on _Aspergillus oryzae_
(koji mold) grown on a portion of the steamed rice to convert starches to
fermentable sugars.[^yn-sakeonline]
#### 3. "Anaerobic aging" presented as a differentiating technique
**Misleading**
Anaerobic conditions during packaging and aging are not differentiating
technique. Anaerobic conditions are the standard baseline for all commercial
beer production. Breweries exclude oxygen as a top priority for packaging and
shelf stability; published research in _Microbiology Spectrum_ confirms that
packaged beer constitutes an anaerobic environment by definition.[^anaerobic]
Professional packaging lines use CO_2 purges and closed transfers specifically
to maintain this state.[^packaging] Framing anaerobic aging as a distinctive
practice is misleading and suggests hallucinated output.
### Low-Resource Language Hallucination
The generation pipeline passes local language codes to the model to retrieve a
translated `description_local`. Output quality is reliable for high-resource
languages such as French, though it may struggle with regional variants and
idiomatic phrasing.
```json
[
{
"city": "Kinshasa",
"state_province": "Kinshasa",
"iso3166_2": "CD-KN",
"country": "Democratic Republic of the Congo",
"iso3166_1": "CD",
"latitude": -4.4419,
"longitude": 15.2663,
"local_languages": ["fr-CD", "ln"]
},
{
"city": "Paris",
"state_province": "Île-de-France",
"iso3166_2": "FR-IDF",
"country": "France",
"iso3166_1": "FR",
"latitude": 48.8566,
"longitude": 2.3522,
"local_languages": ["fr-FR"]
},
{
"city": "Abidjan",
"state_province": "Abidjan",
"iso3166_2": "CI-AB",
"country": "Ivory Coast",
"iso3166_1": "CI",
"latitude": 5.36,
"longitude": -4.0083,
"local_languages": ["fr-CI"]
},
{
"city": "Montreal",
"state_province": "Quebec",
"iso3166_2": "CA-QC",
"country": "Canada",
"iso3166_1": "CA",
"latitude": 45.5017,
"longitude": -73.5673,
"local_languages": ["fr-CA"]
},
{
"city": "Brussels",
"state_province": "Brussels-Capital Region",
"iso3166_2": "BE-BRU",
"country": "Belgium",
"iso3166_1": "BE",
"latitude": 50.8503,
"longitude": 4.3517,
"local_languages": ["fr-BE", "nl-BE"]
}
]
```
This dataset, when fed into the pipeline will often times reason that a local
variant of French is needed, but will often times just default to a standardized
dialect of French, devoid of any cultural or linguistic nuance.
For languages such as Welsh (Wales), Māori (Aotearoa/New Zealand), or Sicilian
(Sicily, Italy), the model can generate text that looks syntactically plausible
but is semantically incoherent. This comes from limited training-data coverage
rather than prompt engineering.
Output sample:
[./out-sample/french-cities.example](out-sample/french-cities.example)
#### Proposed Mitigations
- **Prevention via allowlist:** introduce a high-resource language allowlist. If
a location's code is unlisted, skip `description_local` generation and fall
back to English.
- **Upstream sanitization:** strip known low-resource language codes from the
`locations.json` payload before generation.
- **Downstream flagging:** add a `description_local_confidence` column to the
SQLite schema so downstream applications can filter or flag potentially
hallucinated text by language tier.
---
## Footnotes
[^llm-choke]:
CHOKE (Certain Hallucinations Overriding Known Evidence) is a hallucination
failure mode defined by Simhi et al. (2025), in which a model that can
consistently answer a question correctly produces a confident, wrong
response when the prompt is trivially perturbed. Source: Trust Me, I'm
Wrong: LLMs Hallucinate with Certainty Despite Knowing the Answer — Adi
Simhi, Itay Itzhak, Fazl Barez, Gabriel Stanovsky, Yonatan Belinkov.
[^llm-bias]:
e.g., 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:
[Wikipedia:FAQ/Copyright](https://en.wikipedia.org/wiki/Wikipedia:FAQ/Copyright).
[^cc-sa]:
Creative Commons CC BY-SA 4.0 deed: "If you remix, transform, or build upon
the material, you must distribute your contributions under the same license
as the original." Source:
[creativecommons.org/licenses/by-sa/4.0](https://creativecommons.org/licenses/by-sa/4.0/deed.en).
[^diacetyl-source]:
White Labs confirms that diacetyl is a yeast-derived fermentation byproduct:
specifically, a compound produced during amino acid metabolism that leaks
out of the yeast cell and oxidises into its characteristic buttery
off-flavour. It is generally considered undesirable at any perceived level
in most styles, though low levels are tolerated in some English ales and
European lagers. Source:
[whitelabs.com — Compound Spotlight: Diacetyl](https://www.whitelabs.com/news-update-detail?id=54).
[^diacetyl-rest]:
Brewing Science Institute: diacetyl "is produced during the fermentation
process, primarily as a byproduct of yeast metabolism… generally considered
a flaw in most beer styles." Source:
[brewingscience.com — Diacetyl: Understanding Its Role as an Off-Flavor in Beer](https://brewingscience.com/diacetyl-understanding-its-role-as-an-off-flavor-in-beer/).
[^oxford-beer]:
Oxford Companion to Beer via _Beer & Brewing_: "At low to moderate levels,
diacetyl can be perceived as a positive flavor characteristic in some ales
and stouts" but "particularly unwelcome in lager-style beers." Source:
[beerandbrewing.com — diacetyl](https://www.beerandbrewing.com/dictionary/48TDqQibPi).
[^yn-wiki]:
Wikipedia: "Yamada Nishiki (山田錦) is a short-grain Japanese rice famous
for its use in high-quality sake." Source:
[en.wikipedia.org/wiki/Yamada_Nishiki](https://en.wikipedia.org/wiki/Yamada_Nishiki).
[^yn-sakestreet]:
Sake Street: Yamadanishiki's large _shinpaku_ allows koji mold to penetrate
to the centre of the rice grain, making it "particularly suitable for
producing good koji." Source:
[sakestreet.com — What is Yamadanishiki?](https://sakestreet.com/en/media/what-is-yamadanishiki).
[^yn-sakeonline]:
Sake Online: "Steamed rice is added to make koji (rice malt) and yeast
starter, which promotes alcohol fermentation." Source:
[sakeonline.com.au — Types of Sake Rice: Yamada Nishiki](https://sakeonline.com.au/blogs/news/types-of-sake-rice-yamada-nishiki-and-its-characteristics).
[^anaerobic]:
Pai et al. (2022): "Breweries have recognized oxygen exclusion as a top
priority for the proper packaging and aging of beer… packaged beer is an
anaerobic environment." _Microbiology Spectrum._ Source:
[journals.asm.org](https://journals.asm.org/doi/10.1128/spectrum.02656-22).
[^packaging]:
Beer Production Processes (oboe.com): Professional packaging lines use
double CO_2 pre-evacuation cycles and closed transfers "so the beer moves in
a completely anaerobic environment." Source:
[oboe.com — Flavor Quality Control](https://oboe.com/learn/beer-production-processes-308lmf/flavor-quality-control-4).

View File

@@ -1,439 +0,0 @@
# Biergarten Pipeline
A C++20 command-line pipeline that samples city records from local JSON,
enriches each with Wikipedia context, and generates bilingual brewery names and
descriptions via a local GGUF model or a deterministic mock.
> **This pipeline produces AI-generated data.** It is not a source of truth for
> brewing techniques, cultural representation, or local-language accuracy. See
> [ETHICS-AND-KNOWN-ISSUES.md](./ETHICS-AND-KNOWN-ISSUES.md) for a full
> documentation of limitations, hallucination patterns, and bias.
---
## Table of Contents
- [How It Fits The Main App](#how-it-fits-the-main-app)
- [Quick Start](#quick-start)
- [Build](#build)
- [Model](#model)
- [Run](#run)
- [Docker / RunPod](#docker--runpod)
- [Architecture](#architecture)
- [Pipeline Stages](#pipeline-stages)
- [Key Components](#key-components)
- [Runtime Behaviour](#runtime-behaviour)
- [Generated Output](#generated-output)
- [Tech Stack](#tech-stack)
- [Tested Hardware](#tested-hardware)
- [Fixture Strategy](#fixture-strategy)
- [Repo Layout](#repo-layout)
- [Code Tour](#code-tour)
- [Next Steps](#next-steps)
---
## How It Fits The Main App
The pipeline is a data ingestion layer. It sits outside the web app runtime and
produces seed records the app imports at startup or during a dedicated seed
step.
| Planned app area | Pipeline contribution |
| -------------------------------- | ------------------------------------------------------------------ |
| Brewery discovery and management | Sampled city records, localized names, long-form descriptions |
| Beer reviews and ratings | Stable brewery fixtures with enough context to anchor review pages |
| Social follow relationships | Repeatable brewery entities for feeds, follows, and saved lists |
| Geospatial brewery experiences | Latitude, longitude, and country-level metadata |
---
## Quick Start
### Build
Requirements: C++20 compiler, CMake 3.31+, OpenSSL, Boost (JSON and
ProgramOptions). SQLite is fetched from the upstream amalgamation, so no system
SQLite package is required.
```bash
cmake -S . -B build
cmake --build build
```
CMake automatically detects whether a compatible llama.cpp installation is
present on the system (`libllama`, `libggml`, `libggml-base`, and `llama.h`
visible on the default search paths). If found, it links against those
libraries and skips the FetchContent build. If not found, it fetches and builds
llama.cpp from source at tag `b9012`. No additional flags are required in
either case.
Metal is enabled automatically on Apple Silicon. CUDA or HIP/ROCm is detected
automatically on Linux when the relevant toolkit is present.
### Model
> Skip this step if you only need `--mocked`.
```bash
mkdir -p models
curl -L \
-o models/google_gemma-4-E4B-it-Q6_K.gguf \
https://huggingface.co/bartowski/google_gemma-4-E4B-it-GGUF/resolve/main/google_gemma-4-E4B-it-Q6_K.gguf?download=true
```
### Run
Run from `build/` so the copied `locations.json` and `prompts/` are available.
Each run writes a fresh dated SQLite file such as
`biergarten_seed_2026-04-19T15-30-45.123456Z.sqlite` into the working directory.
```bash
./biergarten-pipeline --mocked
./biergarten-pipeline \
--model ../models/google_gemma-4-E4B-it-Q6_K.gguf \
--prompt-dir prompts \
--temperature 1.0 --top-p 0.95 --top-k 64 --n-ctx 8192 --seed -1
```
#### CLI Flags
| Flag | Purpose |
| --------------- | ---------------------------------------------------------------------------------------------------- |
| `--mocked` | Deterministic mock generator, no model required. |
| `--model, -m` | Path to a GGUF file. Required unless `--mocked` is set. |
| `--prompt-dir` | Directory containing prompt files (e.g. `BREWERY_GENERATION.md`). Required unless `--mocked` is set. |
| `--output, -o` | Directory for generated SQLite artifacts. Default: `output`. |
| `--log-path` | Path for application logs. Default: `pipeline.log`. |
| `--temperature` | Sampling temperature. Default: `1.0`. |
| `--top-p` | Nucleus sampling. Default: `0.95`. |
| `--top-k` | Top-k sampling. Default: `64`. |
| `--n-ctx` | Context window size. Default: `8192`. |
| `--seed` | Random seed. Default: `-1` (random at runtime). |
| `--help, -h` | Print usage and exit. |
`--mocked` and `--model` are mutually exclusive. Omitting both exits with an
error before the pipeline starts. Sampling flags are ignored when `--mocked` is
set.
The post-build step copies `prompts/` into `build/prompts/`. Rebuild after
editing any prompt file.
---
## Docker / RunPod
The `tooling/pipeline/runpod/` directory contains a GPU-ready container
configuration for running the pipeline on RunPod or any Docker host with an
NVIDIA GPU.
### How it works
The container uses a two-stage build. The first stage pulls prebuilt
`libllama`, `libggml`, and backend plugin libraries (including `libggml-cuda.so`
and the CPU variant plugins) from `ghcr.io/ggml-org/llama.cpp:full-cuda`. The
second stage copies those libraries into `/usr/local/lib` and runs `ldconfig` so
the dynamic linker and `dlopen` calls from `ggml_backend_load_all()` can resolve
the CUDA backend plugin at runtime. llama.cpp headers are cloned at the matching
tag and installed into `/usr/local/include`. CMake auto-detects both and skips
the FetchContent source build entirely, keeping image build times short.
`GGML_BACKEND_PATH` is set to `/usr/local/lib` so llama.cpp knows where to scan
for backend plugins.
### Build the image
Run from the `tooling/pipeline/` directory (the CMake project root), not from
inside `runpod/`, so the `COPY . .` step picks up the full project context.
```bash
docker build -t biergarten-pipeline:latest -f runpod/Dockerfile .
```
To monitor the full build output and confirm CMake selects the system llama.cpp:
```bash
docker build \
--progress=plain \
--no-cache \
-t biergarten-pipeline:latest \
-f runpod/Dockerfile \
. 2>&1 | tee build.log
```
Look for `[biergarten] Found system llama.cpp — skipping FetchContent` in the
output to confirm the fast path was taken.
### Run in mocked mode
No model or GPU required. Useful for validating the pipeline logic and SQLite
export path.
```bash
docker run --rm \
-e BIERGARTEN_MODE=mocked \
-v "$PWD/output:/workspace/output" \
-v "$PWD/logs:/workspace/logs" \
biergarten-pipeline:latest
```
### Run in live mode
Mount your GGUF model before starting. The container validates the model path
before launching the binary.
```bash
docker run --rm \
--runtime=nvidia \
-e BIERGARTEN_MODE=live \
-e GGML_BACKEND_PATH="/usr/local/lib/libggml-cuda.so" \
-v "$PWD/models:/workspace/models" \
-v "$PWD/output:/workspace/output" \
-v "$PWD/logs:/workspace/logs" \
biergarten-pipeline:latest
```
The model must be present at `./models/google_gemma-4-E4B-it-Q6_K.gguf` on the
host. See [Model](#model) above for the download command.
### RunPod deployment
Use a GPU pod template. Mount persistent storage for `/workspace/models`,
`/workspace/output`, and `/workspace/logs`. Set `BIERGARTEN_MODE=live` in the
template environment. See `tooling/pipeline/runpod/pod-template.yaml` for a
starter template.
---
## Architecture
### Pipeline Stages
| Stage | Implementation |
| -------- | --------------------------------------------------------------------------------------------------------------------------------------- |
| Load | `JsonLoader::LoadLocations()` reads `locations.json` into typed `Location` records. |
| Sample | `BiergartenDataGenerator::QueryCitiesWithCountries()` samples up to 50 locations per run. |
| Enrich | `WikipediaService` fetches city and beer context. Keeps going when a lookup fails. |
| Generate | `MockGenerator` or `LlamaGenerator` produces brewery names and descriptions in English and the local language. |
| Store | `SqliteExportService` writes each successful brewery into a fresh dated `.sqlite` database with normalized location and brewery tables. |
| Log | `spdlog` writes results and warnings to the console. |
If enrichment or generation fails for a city, that city is skipped and the
pipeline continues.
### Key Components
- `src/main.cc` — argument parsing and Boost.DI composition root.
- `JsonLoader` — validates curated location input.
- `WikipediaService` — queries Wikipedia extracts, caches results, returns empty
context on failure.
- `LlamaGenerator` — formats prompts for Gemma 4, validates JSON output, retries
malformed responses up to three times. If output looks truncated, the retry
raises the token budget before trying again.
- `MockGenerator` — stable hash-based output so the same city input always
produces the same brewery.
- `SqliteExportService` — creates a dated SQLite file per run and persists each
successful brewery into normalized tables.
- Brewery payloads include English and local-language name and description
fields.
### Runtime Behaviour
`WikipediaService` queries city, country, and beer-related Wikipedia extracts
using its configured lookup, then caches the first successful response per query
string. The fetched extract text is included in the prompt as context for
generation.
`GetLocationContext()` returns an empty string when the web client is
unavailable or when lookup/parsing fails.
`LlamaGenerator` validates model output as structured JSON. The retry path
exists as a safety hatch for cases where the reasoning block consumes available
token budget and compresses the JSON output space. All runs to date have
produced valid output on the first pass; the path is kept for resilience.
`MockGenerator` uses stable hashes for repeatable output in demos and Storybook
runs.
### Process Flow - Activity Diagram
![An activity diagram](./diagrams/current/output/activity.svg)
### Architectural Overview - Class Diagram
![A class diagram](./diagrams/current/output/class.svg)
---
## Generated Output
Each successful run stores a `GeneratedBrewery` pair with the source location
and a `BreweryResult` payload. The same generated records are also written to a
fresh SQLite export file named with the current UTC timestamp.
| Field | Meaning |
| ------------------- | ------------------------------------------ |
| `name_en` | Brewery name in English. |
| `description_en` | Brewery description in English. |
| `name_local` | Brewery name in the local language. |
| `description_local` | Brewery description in the local language. |
The log dump also includes city, country, state or province, ISO subdivision
code, latitude, and longitude for each entry.
### Consumer Data Shape
| Field | Why it matters |
| ----------------------------------- | ------------------------------------------------ |
| `city`, `state_province`, `country` | Human-readable location labels and page headings |
| `iso3166_1`, `iso3166_2` | Filtering, regional grouping, locale matching |
| `latitude`, `longitude` | Map pins and nearby brewery views |
| `local_languages` | Locale-aware copy selection |
| `name_en`, `description_en` | Default English display content |
| `name_local`, `description_local` | Local-language display content |
| `region_context` | Richer copy for cards and detail pages |
---
## Tech Stack
- C++20
- CMake 3.31+
- Boost.JSON, Boost.ProgramOptions, Boost.DI
- spdlog
- cpp-httplib (with OpenSSL)
- SQLite amalgamation fetched and compiled via CMake FetchContent
- llama.cpp (auto-detected from system install or fetched via FetchContent)
- Docker with NVIDIA CUDA 12.6 base image for GPU container builds
- RunPod for cloud GPU inference
The build fetches Boost.DI, spdlog, and SQLite via CMake. llama.cpp is fetched
only when a system installation is not detected. Metal is enabled on Apple
Silicon; CUDA or HIP/ROCm is detected on Linux when the toolkit is present.
> **Code Style:** Modern C++20 throughout — RAII for ownership,
> `std::unique_ptr` for injected dependencies, `std::optional` for parse
> outcomes, `std::span` for read-only views over generated city data, structured
> bindings in pipeline loops. Formatting follows the Google C++ Style Guide via
> `.clang-format` with a narrow column limit and two-space indentation.
---
## Tested Hardware
### ARM macOS — M1 Pro
| | |
| --------- | --------------------------------- |
| Host | MacBook Pro 14" (2021) |
| CPU | Apple M1 Pro (8-core) |
| GPU | Apple M1 Pro (14-core integrated) |
| Memory | 16 GB |
| Model | Gemma 4 E4B |
| Inference | llama.cpp with Metal |
### x86_64 Linux — NVIDIA RTX 2000
| | |
| --------- | ------------------------------ |
| Host | ThinkPad P1 Gen 7 (Fedora 43) |
| CPU | Intel Core Ultra 7 155H |
| GPU | NVIDIA RTX 2000 Ada Generation |
| Memory | 32 GB |
| Model | Gemma 4 E4B |
| Inference | llama.cpp with CUDA 12.x |
### x86_64 Linux — Docker / RunPod (NVIDIA CUDA)
| | |
| --------- | ------------------------------------------- |
| Host | RunPod GPU pod |
| Base | nvidia/cuda:12.6.3-devel-ubuntu24.04 |
| Model | Gemma 4 E4B Q6_K |
| Inference | llama.cpp prebuilt CUDA backends via dlopen |
---
## Fixture Strategy
- `--mocked` for stable fixtures, repeatable screenshots, and Storybook runs.
- `--model` when geographically grounded content matters for demos.
- Keep `locations.json` structured enough to support discovery and future
filtering.
- Treat SQLite output as seed material for the app's brewery domain, not
production data.
---
## Repo Layout
| Path | Purpose |
| ---------------------------- | -------------------------------------------------- |
| `includes/` | Public headers and shared models. |
| `src/` | Implementation files. |
| `locations.json` | Curated city input copied into the build tree. |
| `prompts/` | System prompts used by the model-backed path. |
| `diagrams/` | Architecture and pipeline diagrams. |
| `tooling/pipeline/runpod/` | Dockerfile, launcher, and RunPod pod template. |
| `ETHICS-AND-KNOWN-ISSUES.md` | Ethics, bias, hallucination analysis, mitigations. |
---
## Code Tour
- `src/main.cc` — argument parsing and DI composition root.
- `src/biergarten_data_generator/` — orchestration, sampling, logging, and
export.
- `src/services/wikipedia/` — enrichment service and cache.
- `src/services/sqlite/` — SQLite export implementation.
- `src/data_generation/llama/` — local inference, prompt loading, output
validation.
- `src/data_generation/mock/` — deterministic fallback.
- `tooling/pipeline/runpod/` — container build and runtime launcher.
---
## Next Steps
The pipeline currently produces city-aware brewery records and dated SQLite
exports. The next passes add additional fixture types so the app can exercise
the full brewery domain without live data.
### Testing — Very High Priority
- Unit test JSON validation and retry logic against malformed, truncated, and
empty model outputs.
- Integration test the enrichment pipeline with missing context, short context,
and fake context inputs.
- Adversarial context tests: feed plausible but geographically incorrect
Wikipedia extracts and verify the model does not silently blend them with
training data.
- Verify bilingual enrichment behaviour when only an English extract is
available versus when both extracts are present.
- Confirm the retry path is reachable when the reasoning block consumes
available token budget.
### Beer Generation
Generate catalog entries with style, ABV, IBU, color, aroma notes, and food
pairing hints. Link beers back to breweries and cities. Keep style coverage wide
enough to exercise search, sort, and category filters.
### User Generation
Generate user profiles with stable names, bios, locale hints, and preference
signals. Include stable IDs for downstream fixture joins. Keep output
deterministic for screenshots while allowing larger randomized batches.
### Check-In System
Produce timestamped check-in events between users and breweries. Use a J-curve
activity profile — a small set of users accounts for most check-ins, the rest
appear occasionally. Add bursty behaviour around weekends and travel periods.
### Beer Ratings
Generate rating events with a strong positive skew and a long tail of lower
scores. Avoid uniform distributions. Attach timestamps and user IDs so the app
can compute averages, trends, and per-style comparisons.

View File

@@ -1,34 +0,0 @@
skinparam shadowing false
skinparam backgroundColor #FCFCF7
skinparam defaultFontName "DM Sans"
skinparam defaultFontColor #14180C
skinparam titleFontName "Volkhov"
skinparam titleFontColor #14180C
skinparam ArrowColor #656F33
skinparam NoteBackgroundColor #DBEEDD
skinparam NoteFontColor #14180C
skinparam NoteBorderColor #4A5837
skinparam SwimlaneBorderColor #4A5837
skinparam SwimlaneBorderThickness 1
skinparam activityStartColor #EBECE3
skinparam activityEndColor #4A5837
skinparam activityStopColor #4A5837
skinparam ActivityBackgroundColor #EBECE3
skinparam ActivityBorderColor #4A5837
skinparam ActivityDiamondBackgroundColor #CBD2B5
skinparam ActivityDiamondBorderColor #4A5837
skinparam packageStyle rectangle
skinparam packageBackgroundColor #F1F3EA
skinparam packageBorderColor #4A5837
skinparam packageFontColor #14180C
skinparam classBackgroundColor #EBECE3
skinparam classBorderColor #4A5837
skinparam classFontColor #14180C
skinparam classAttributeFontColor #3F4724
skinparam classStereotypeFontColor #4A5837
skinparam interfaceBackgroundColor #DBEEDD
skinparam interfaceBorderColor #4A5837
skinparam interfaceFontColor #14180C
skinparam enumBackgroundColor #E4E6D8
skinparam enumBorderColor #4A5837
skinparam enumFontColor #14180C

View File

@@ -1,125 +0,0 @@
@startuml
skinparam style strictuml
skinparam defaultFontName "DM Sans"
skinparam defaultFontSize 14
skinparam titleFontName "Volkhov"
skinparam titleFontSize 20
skinparam backgroundColor #FAFCF9
skinparam defaultFontColor #28342A
skinparam titleFontColor #28342A
skinparam ArrowColor #628A5B
skinparam NoteBackgroundColor #EAF0E8
skinparam NoteBorderColor #547461
skinparam ActivityBackgroundColor #FAFCF9
skinparam ActivityBorderColor #547461
skinparam ActivityDiamondBackgroundColor #FAFCF9
skinparam ActivityDiamondBorderColor #628A5B
skinparam ActivityBarColor #628A5B
skinparam SwimlaneBorderColor #547461
skinparam SwimlaneBorderThickness 0.3
title The Biergarten Data Pipeline (Streaming Architecture)
|#F2F6F0|main.cc|
start
:ParseArguments(argc, argv);
if (Are arguments valid?) then (no)
:spdlog::error usage info;
stop
else (yes)
endif
:Init OpenSSL global state & LlamaBackendState;
:di::make_injector(...);
:injector.create<std::unique_ptr<BiergartenDataGenerator>>();
:BiergartenDataGenerator::Run();
|#EAF0E8|BiergartenDataGenerator|
:Initialize SQLite export;
|#E0EAE0|SqliteExportService|
:GetUtcTimestamp() from SystemDateTimeProvider;
:Initialize();
note right
Builds a fresh biergarten_seed_<UTC datetime>.sqlite filename
Appends a numeric suffix if the timestamp already exists
Opens DB Connection
Executes Schema DDL
Begins Transaction
end note
|#EAF0E8|BiergartenDataGenerator|
:QueryCitiesWithCountries();
|#E2EBDC|JsonLoader|
:JsonLoader::LoadLocations("locations.json");
:std::ranges::sample(all_locations, 50);
|#EAF0E8|BiergartenDataGenerator|
while (For each sampled Location?) is (Remaining cities)
|#DCE8D8|WikipediaService|
:GetLocationContext(loc);
:FetchExtracts(City, Country, Beer);
|#EAF0E8|BiergartenDataGenerator|
:Store EnrichedCity{Location, region_context};
endwhile (Done)
|#EAF0E8|BiergartenDataGenerator|
:GenerateBreweries(enriched_cities);
|#E5EDE1|DataGenerator|
while (For each EnrichedCity?) is (Remaining cities)
if (Generator Mode) then (MockGenerator)
:DeterministicHash & Format;
else (LlamaGenerator)
:PrepareRegionContext;
:LoadBrewerySystemPrompt("prompts/system.md");
repeat
:Infer(system_prompt, user_prompt, max_tokens, kBreweryJsonGrammar);
:ValidateBreweryJson(raw, brewery);
if (Is JSON Valid?) then (yes)
break
else (no)
:Attempt++;
endif
repeat while (Attempt < 3?) is (yes)
endif
|#EAF0E8|BiergartenDataGenerator|
if (Generation successful?) then (yes)
|#E0EAE0|SqliteExportService|
:ProcessRecord(GeneratedBrewery);
if (Location in cache?) then (yes)
:Reuse location_id;
else (no)
:Insert Location & Cache ID;
endif
:Insert Brewery (FK: location_id);
if (Exception caught during insert?) then (yes)
|#EAF0E8|BiergartenDataGenerator|
:spdlog::warn "Failed to stream record to SQLite export";
note right
Data loss is prevented per-record.
The pipeline continues running.
end note
else (no)
endif
else (no)
:spdlog::warn "Generation failed, skipping...";
endif
|#E5EDE1|DataGenerator|
endwhile (Done)
|#E0EAE0|SqliteExportService|
:Finalize();
note right
Commits Transaction
Closes Database Connection
end note
|#F2F6F0|main.cc|
:Return 0;
stop
@enduml

View File

@@ -1,148 +0,0 @@
@startuml
skinparam style strictuml
skinparam defaultFontName "DM Sans"
skinparam defaultFontSize 14
skinparam titleFontName "Volkhov"
skinparam titleFontSize 20
skinparam backgroundColor #FAFCF9
skinparam defaultFontColor #28342A
skinparam titleFontColor #28342A
skinparam ArrowColor #628A5B
skinparam class {
BackgroundColor #FAFCF9
HeaderBackgroundColor #EAF0E8
BorderColor #547461
ArrowColor #628A5B
FontColor #28342A
}
skinparam note {
BackgroundColor #EAF0E8
BorderColor #547461
FontColor #28342A
}
title The Biergarten Data Pipeline - Class Diagram
class BiergartenDataGenerator {
- context_service_ : std::unique_ptr<IEnrichmentService>
- generator_ : std::unique_ptr<DataGenerator>
- exporter_ : std::unique_ptr<IExportService>
- generated_breweries_ : std::vector<GeneratedBrewery>
+ Run() : bool
- QueryCitiesWithCountries() : std::vector<Location>
- GenerateBreweries(cities : std::span<const EnrichedCity>) : void
- LogResults() : void
}
interface IEnrichmentService <<interface>> {
+ GetLocationContext(loc : const Location&) : std::string
}
class WikipediaService {
- client_ : std::unique_ptr<WebClient>
- extract_cache_ : std::unordered_map<std::string, std::string>
+ GetLocationContext(loc : const Location&) : std::string
- FetchExtract(query : std::string_view) : std::string
}
interface WebClient <<interface>> {
+ Get(url : const std::string&) : std::string
+ UrlEncode(value : const std::string&) : std::string
}
class HttpWebClient {
+ Get(url : const std::string&) : std::string
+ UrlEncode(value : const std::string&) : std::string
}
interface DataGenerator <<interface>> {
+ GenerateBrewery(location : const Location&, region_context : const std::string&) : BreweryResult
+ GenerateUser(locale : const std::string&) : UserResult
}
class MockGenerator {
+ GenerateBrewery(...) : BreweryResult
+ GenerateUser(...) : UserResult
- DeterministicHash(location : const Location&) : size_t
}
class LlamaGenerator {
- model_ : ModelHandle
- context_ : ContextHandle
- prompt_formatter_ : std::unique_ptr<IPromptFormatter>
- rng_ : std::mt19937
+ GenerateBrewery(...) : BreweryResult
+ GenerateUser(...) : UserResult
- Load(model_path : const std::string&) : void
- Infer(...) : std::string
- InferFormatted(...) : std::string
- LoadBrewerySystemPrompt(...) : std::string
}
interface IPromptFormatter <<interface>> {
+ Format(system_prompt : std::string_view, user_prompt : std::string_view) : std::string
}
class Gemma4JinjaPromptFormatter {
+ Format(system_prompt : std::string_view, user_prompt : std::string_view) : std::string
}
class JsonLoader {
+ {static} LoadLocations(filepath : const std::filesystem::path&) : std::vector<Location>
}
interface IExportService <<interface>> {
+ Initialize() : void
+ ProcessRecord(brewery : const GeneratedBrewery&) : void
+ Finalize() : void
}
class SqliteExportService {
- date_time_provider_ : std::unique_ptr<IDateTimeProvider>
- run_timestamp_utc_ : std::string
- database_path_ : std::filesystem::path
- db_handle_ : sqlite3*
- insert_location_stmt_ : sqlite3_stmt*
- insert_brewery_stmt_ : sqlite3_stmt*
- transaction_open_ : bool
- location_cache_ : std::unordered_map<std::string, sqlite3_int64>
+ Initialize() : void
+ ProcessRecord(brewery : const GeneratedBrewery&) : void
+ Finalize() : void
- InitializeSchema() : void
}
interface IDateTimeProvider <<interface>> {
+ GetUtcTimestamp() : std::string
}
class SystemDateTimeProvider {
+ GetUtcTimestamp() : std::string
}
' Structural Relationships / Dependency Injection
BiergartenDataGenerator *-- IEnrichmentService : owns
BiergartenDataGenerator *-- DataGenerator : owns
BiergartenDataGenerator *-- IExportService : owns
IEnrichmentService <|.. WikipediaService : implements
WikipediaService *-- WebClient : owns
WebClient <|.. HttpWebClient : implements
DataGenerator <|.. MockGenerator : implements
DataGenerator <|.. LlamaGenerator : implements
LlamaGenerator *-- IPromptFormatter : uses
IPromptFormatter <|.. Gemma4JinjaPromptFormatter : implements
BiergartenDataGenerator ..> JsonLoader : uses
IExportService <|.. SqliteExportService : implements
SqliteExportService *-- IDateTimeProvider : owns
IDateTimeProvider <|.. SystemDateTimeProvider : implements
@enduml

File diff suppressed because one or more lines are too long

File diff suppressed because one or more lines are too long

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@@ -1,360 +0,0 @@
@startuml biergarten_activity
!include ../biergarten-weizen-theme.puml
skinparam defaultFontSize 13
skinparam titleFontSize 20
title The Biergarten Data Pipeline — Activity Diagram
|Main|
start
:ParseArguments(argc, argv);
if (Invalid args?) then (yes)
:spdlog::error;
stop
else (no)
endif
:Init OpenSSL global state & LlamaBackendState;
:Build DI injector;
:Initialize SqliteExportService;
note right
Opens SQLite connection.
(Transactions are now managed
per-phase via batching).
end note
:Create BoundedChannel<LogEntry> log_ch;
:Spawn Log Worker thread;
note right
Log worker drains log_ch for the
entire pipeline lifetime.
All workers emit LogEntry structs
via PipelineLogger -- never spdlog directly.
end note
:BiergartenPipelineOrchestrator::Run();
|BiergartenPipelineOrchestrator::Run()|
fork
:JsonLoader::LoadBeerStyles("beer-styles.json");
:EnrichmentService::PreWarmBeerStyleCache(beer_styles);
fork again
:JsonLoader::LoadLocations("locations.json");
:EnrichmentService::PreWarmLocationCache(sampled_locations);
end fork
fork
:JsonLoader::LoadNamesByCountry("names-by-country.json");
fork again
:JsonLoader::LoadPersonas("personas.json");
end fork
' ═══════════════════════════════════════════
' PHASE 0 — USER GENERATION
' ═══════════════════════════════════════════
|Orchestrator|
:RunUserPhase(sampled_locations);
:Create BoundedChannels\n(loc_ch, exp_ch);
fork
|Orchestrator|
:Loop: Send Locations -> loc_ch;
:Close loc_ch;
note right
Producer closes loc_ch.
LLM Worker while loop
terminates on empty + closed.
end note
fork again
|LLM Worker|
while (loc_ch has items?) is (yes)
:Receive Location;
:GetLocationContextFromCache(location);
note right
Guaranteed cache hit from startup.
end note
:IPersonaSelectionStrategy::SelectPersona(\n personas_palette_);
note right
Guaranteed cache hit from startup.
Returns a Persona struct carrying
style_affinities, abv_range,
ibu_preference, checkin_weight.
end note
:NamesByCountry::SampleName(\n location.iso3166_1);
note right
Deterministic lookup -- no LLM involved.
Name selected from pre-keyed table
and passed into the generation prompt.
end note
:GenerateUser(enriched_city, persona, sampled_name)\nvia DataGenerator;
note right
LLM receives: EnrichedCity context + persona
description + sampled name. Generates
bio and preference signals grounded
in locale and persona.
end note
:PipelineLogger::Log(Info, UserGeneration,\n city, user_id, "llm");
:Send GeneratedUser -> exp_ch;
endwhile (no)
:Close exp_ch;
note right
Producer closes exp_ch.
SQLite Worker while loop
terminates on empty + closed.
end note
fork again
|SQLite Worker|
:BEGIN TRANSACTION;
while (exp_ch has items?) is (yes)
:Receive GeneratedUser;
:ProcessUser(user);
:PipelineLogger::Log(Info, UserGeneration,\n city, user_id, "sqlite");
:Append -> user_pool_;
if (Batch size reached?) then (yes)
:COMMIT & BEGIN;
else (no)
endif
endwhile (no)
:COMMIT (Final);
end fork
|Orchestrator|
:Join LLM Worker, SQLite Worker;
' ═══════════════════════════════════════════
' PHASE 1a — BREWERY GENERATION
' ═══════════════════════════════════════════
:RunBreweryPhase(sampled_locations);
:Create BoundedChannels\n(loc_ch, exp_ch);
fork
|Orchestrator|
:Loop: Sample User from user_pool_
and pair with Location;
:Send BreweryTask(Location, User) -> loc_ch;
:Close loc_ch;
fork again
|LLM Worker|
while (loc_ch has items?) is (yes)
:Receive BreweryTask(Location, User);
:GetLocationContextFromCache(task.location);
note right
Guaranteed cache hit from startup.
end note
:GenerateBrewery(enriched_city, context, task.user)\nvia DataGenerator;
note right
KV cache stays warm.
Brewery is linked to the sampled owner_user_id.
end note
:PipelineLogger::Log(Info,\n BreweryGeneration,\n city, brewery_id, "llm");
:Send GeneratedBrewery -> exp_ch;
endwhile (no)
:Close exp_ch;
fork again
|SQLite Worker|
:BEGIN TRANSACTION;
while (exp_ch has items?) is (yes)
:Receive GeneratedBrewery;
:ProcessBrewery(brewery);
:PipelineLogger::Log(Info,\n BreweryGeneration,\n city, brewery_id, "sqlite");
:Append -> brewery_pool_;
if (Batch size reached?) then (yes)
:COMMIT & BEGIN;
else (no)
endif
endwhile (no)
:COMMIT (Final);
end fork
|Orchestrator|
:Join LLM Worker, SQLite Worker;
note right
brewery_pool_ is now fully populated.
Phase 1b may begin.
end note
' ═══════════════════════════════════════════
' PHASE 1b — BEER GENERATION
' ═══════════════════════════════════════════
:RunBeerPhase();
:Create BoundedChannels\n(brew_ch, exp_ch);
fork
|Orchestrator|
:Loop: Send Breweries -> brew_ch;
:Close brew_ch;
fork again
|LLM Worker|
while (brew_ch has items?) is (yes)
:Receive GeneratedBrewery;
:IBeerSelectionStrategy::SelectStyles(\n brewery, beer_style_palette_);
while (For each selected BeerStyle?) is (remaining)
:GetStyleContextFromCache(style);
note right
Guaranteed cache hit from startup.
KV cache stays warm across all
beer generations -- system prompt
does not change within this phase.
end note
:GenerateBeer(brewery, style_context)\nvia DataGenerator;
:Attach GeneratedBeer to bundle;
endwhile (done)
:PipelineLogger::Log(Info,\n BeerGeneration,\n city, brewery_id, "llm");
:Send BeersBundle -> exp_ch;
endwhile (no)
:Close exp_ch;
fork again
|SQLite Worker|
:BEGIN TRANSACTION;
while (exp_ch has items?) is (yes)
:Receive BeersBundle;
while (For each beer in bundle?) is (remaining)
:Set beer.brewery_id from bundle;
:ProcessBeer(beer);
:Append -> beer_pool_;
endwhile (done)
:PipelineLogger::Log(Info,\n BeerGeneration,\n city, brewery_id, "sqlite");
if (Batch size reached?) then (yes)
:COMMIT & BEGIN;
else (no)
endif
endwhile (no)
:COMMIT (Final);
end fork
|Orchestrator|
:Join LLM Worker, SQLite Worker;
note right
Both brewery_pool_ and beer_pool_
are now completely populated.
Checkin and Follow phases may
now run in parallel.
end note
' ═══════════════════════════════════════════
' PHASE 2 — CHECKIN + FOLLOW GENERATION
' (parallel — both depend only on user_pool_
' and brewery_pool_ being fully populated)
' ═══════════════════════════════════════════
fork
|Orchestrator|
:RunCheckinPhase();
:ICheckinDistributionStrategy::\nAssignActivityWeights(user_pool_);
note right
Weights seeded from each user's
persona.checkin_weight. J-curve profile
emerges from persona distribution.
end note
:BEGIN TRANSACTION;
while (For each GeneratedUser in user_pool_?) is (remaining)
:CheckinsForUser(user, brewery_pool_.size());
while (For each checkin index?) is (remaining)
:TimestampFor(user, index);
:Select brewery from brewery_pool_;
:GenerateCheckin(user, brewery, timestamp)\nvia DataGenerator;
:ProcessCheckin(checkin);
:PipelineLogger::Log(Info, CheckinGeneration,\n nullopt, checkin_id, "sqlite");
:Append -> checkin_pool_;
if (Batch size reached?) then (yes)
:COMMIT & BEGIN;
else (no)
endif
endwhile (done)
endwhile (done)
:COMMIT (Final);
fork again
|Orchestrator|
:RunFollowPhase();
:IFollowGenerationStrategy::\nAssignFollowWeights(user_pool_);
note right
For RandomFollowStrategy, weights
are uniform. For ActivityWeightedFollowStrategy,
weights derived from user.activity_weight
so high-activity users attract more followers.
end note
:BEGIN TRANSACTION;
:IFollowGenerationStrategy::\nGenerateFollows(user_pool_);
note right
Self-follow constraint (follower_id != followed_id)
enforced here and at the DB schema level.
end note
while (For each GeneratedFollow?) is (remaining)
:ProcessFollow(follow);
:PipelineLogger::Log(Info, FollowGeneration,\n nullopt, follower_id, "sqlite");
:Append -> follow_pool_;
if (Batch size reached?) then (yes)
:COMMIT & BEGIN;
else (no)
endif
endwhile (done)
:COMMIT (Final);
end fork
|Orchestrator|
:Join CheckinPhase, FollowPhase;
note right
checkin_pool_ and follow_pool_
are now fully populated.
Rating phase may begin.
end note
' ═══════════════════════════════════════════
' PHASE 3 — RATING GENERATION
' ═══════════════════════════════════════════
:RunRatingPhase();
note right
Beer selection biased by
user.persona.style_affinities and abv_range.
Rating skew modulated per persona.
end note
:BEGIN TRANSACTION;
while (For each GeneratedCheckin in checkin_pool_?) is (remaining)
:Match brewery_id, select beer from beer_pool_\n(same brewery_id, biased by persona affinities);
if (Beer exists for brewery?) then (yes)
:GenerateRating(user, beer, checkin_id)\nvia DataGenerator;
:ProcessRating(rating);
:PipelineLogger::Log(Info, RatingGeneration,\n nullopt, rating_id, "sqlite");
if (Batch size reached?) then (yes)
:COMMIT & BEGIN;
else (no)
endif
else (no)
:PipelineLogger::Log(Warn, RatingGeneration,\n nullopt, brewery_id, "sqlite");
:Skip -- brewery has no beers;
endif
endwhile (done)
:COMMIT (Final);
' ═══════════════════════════════════════════
' TEARDOWN
' ═══════════════════════════════════════════
|Orchestrator|
:Finalize SqliteExportService;
note right
Safely closes the DB connection.
end note
:Close log_ch;
|Main|
:spdlog::info "Pipeline complete in X ms";
:Join Log Worker;
note right
Drain guarantees no LogEntry is
dropped at shutdown.
end note
stop
@enduml

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@@ -1,560 +0,0 @@
@startuml
' ==========================================
' CONFIGURATION & STYLING
' ==========================================
!include ../biergarten-weizen-theme.puml
skinparam classAttributeFontSize 9
skinparam defaultFontSize 25
skinparam titleFontSize 30
package "Domain: Models" {
class Location {
+ city : std::string
+ state_province : std::string
+ iso3166_2 : std::string
+ country : std::string
+ iso3166_1 : std::string
+ local_languages : std::vector<std::string>
+ latitude : double
+ longitude : double
}
class LocationContext {
+ text : std::string
+ completeness : Completeness
+ char_count : size_t
}
enum Completeness {
Full
Partial
Absent
}
class EnrichedCity {
+ location : Location
+ context : LocationContext
}
class BeerStyle {
+ name : std::string
+ description : std::string
+ min_abv : float
+ max_abv : float
+ min_ibu : int
+ max_ibu : int
}
class BreweryResult {
+ name_en : std::string
+ description_en : std::string
+ name_local : std::string
+ description_local : std::string
}
class BeerResult {
+ name_en : std::string
+ description_en : std::string
+ name_local : std::string
+ description_local : std::string
+ style : std::string
+ abv : float
+ ibu : int
}
class UserResult {
+ username : std::string
+ bio : std::string
+ activity_weight : float
}
class CheckinResult {
+ checked_in_at : std::string
+ note : std::string
}
class RatingResult {
+ score : float
+ note : std::string
}
class GenerationMetadata {
+ generation_id : uint64_t
+ generated_time : std::string
+ context_provided : bool
+ generated_with : std::string
}
class GeneratedBrewery {
+ brewery_id : uint64_t
+ location : Location
+ brewery : BreweryResult
+ context_completeness : LocationContext::Completeness
+ metadata : GenerationMetadata
}
class GeneratedBeer {
+ beer_id : uint64_t
+ brewery_id : uint64_t
+ location : Location
+ style : BeerStyle
+ beer : BeerResult
+ metadata : GenerationMetadata
}
class GeneratedUser {
+ user_id : uint64_t
+ location : Location
+ user : UserResult
+ metadata : GenerationMetadata
}
class GeneratedCheckin {
+ checkin_id : uint64_t
+ user_id : uint64_t
+ brewery_id : uint64_t
+ checkin : CheckinResult
+ metadata : GenerationMetadata
}
class GeneratedRating {
+ user_id : uint64_t
+ beer_id : uint64_t
+ checkin_id : uint64_t
+ rating : RatingResult
+ metadata : GenerationMetadata
}
class GeneratedFollow {
+ follower_id : uint64_t
+ followed_id : uint64_t
+ metadata : GenerationMetadata
}
class UserPersona {
+ name: std::string
+ description: std::string
+ style_affinities: std::vector<std::string>
}
LocationContext *-- Completeness
}
@startuml
package "Domain: Application Configuration" {
class SamplingOptions {
+ temperature: float = 1.0F
+ top_p: float = 0.95F
+ top_k: uint32_t = 64
+ n_ctx: uint32_t = 8192
+ seed: int = -1
}
class GeneratorOptions {
+ model_path: std::filesystem::path
+ use_mocked: bool = false
+ sampling: std::optional<SamplingOptions>
}
class PipelineOptions {
+ output_path: std::filesystem::path
+ log_path: std::filesystem::path
}
class ApplicationOptions {
+ generator: GeneratorOptions
+ pipeline: PipelineOptions
}
' --- Domain Model Relationships ---
ApplicationOptions *-- GeneratorOptions
ApplicationOptions *-- PipelineOptions
GeneratorOptions o-- SamplingOptions
}
@endum
package "Domain: Policy" {
interface ContextStrategy <<interface>> {
+ QueriesFor(loc : const Location&) : std::vector<std::string>
+ MaxContextChars() : size_t
}
class BreweryContextStrategy {
+ QueriesFor(loc : const Location&) : std::vector<std::string>
+ MaxContextChars() : size_t
}
class BeerContextStrategy {
+ QueriesFor(loc : const Location&) : std::vector<std::string>
+ MaxContextChars() : size_t
}
interface SamplingStrategy <<interface>> {
+ Sample(locations : const std::vector<Location>&) : std::vector<Location>
}
class UniformSamplingStrategy {
- sample_size_ : size_t
+ Sample(locations : const std::vector<Location>&) : std::vector<Location>
}
interface BeerSelectionStrategy <<interface>> {
+ SelectStyles(brewery : const GeneratedBrewery&,\n palette : std::span<const BeerStyle>) : std::vector<BeerStyle>
}
class RandomBeerSelectionStrategy {
- rng_ : std::mt19937
- min_beers_ : size_t
- max_beers_ : size_t
+ SelectStyles(brewery : const GeneratedBrewery&,\n palette : std::span<const BeerStyle>) : std::vector<BeerStyle>
}
interface CheckinDistributionStrategy <<interface>> {
+ AssignActivityWeights(users : std::vector<GeneratedUser>&) : void
+ CheckinsForUser(user : const GeneratedUser&,\n brewery_count : size_t) : size_t
+ TimestampFor(user : const GeneratedUser&,\n index : size_t) : std::string
}
class JCurveCheckinStrategy {
- rng_ : std::mt19937
+ AssignActivityWeights(users : std::vector<GeneratedUser>&) : void
+ CheckinsForUser(user : const GeneratedUser&,\n brewery_count : size_t) : size_t
+ TimestampFor(user : const GeneratedUser&,\n index : size_t) : std::string
}
class RandomCheckinStrategy {
- rng_ : std::mt19937
- min_checkins_ : size_t
- max_checkins_ : size_t
+ AssignActivityWeights(users : std::vector<GeneratedUser>&) : void
+ CheckinsForUser(user : const GeneratedUser&,\n brewery_count : size_t) : size_t
+ TimestampFor(user : const GeneratedUser&,\n index : size_t) : std::string
}
interface FollowGenerationStrategy <<interface>> {
+ GenerateFollows(users : const std::vector<GeneratedUser>&) : std::vector<GeneratedFollow>
}
class RandomFollowStrategy {
- rng_ : std::mt19937
- min_follows_ : size_t
- max_follows_ : size_t
+ GenerateFollows(users : const std::vector<GeneratedUser>&) : std::vector<GeneratedFollow>
}
class ActivityWeightedFollowStrategy {
- rng_ : std::mt19937
- min_follows_ : size_t
- max_follows_ : size_t
+ GenerateFollows(users : const std::vector<GeneratedUser>&) : std::vector<GeneratedFollow>
}
}
package "Infrastructure: Logging" {
enum LogLevel {
Debug
Info
Warn
Error
}
enum PipelinePhase {
Startup
UserGeneration
BreweryAndBeerGeneration
CheckinGeneration
RatingGeneration
FollowGeneration
Teardown
}
class LogEntry {
+ timestamp : std::chrono::system_clock::time_point
+ level : LogLevel
+ phase : PipelinePhase
+ message : std::string
+ city : std::optional<std::string>
+ entity_id : std::optional<std::string>
+ worker : std::optional<std::string>
}
interface Logger <<interface>> {
+ Log(level, phase, message,\n city, entity_id, worker) : void
}
class PipelineLogger {
- log_ch_ : BoundedChannel<LogEntry>&
+ Log(level, phase, message,\n city, entity_id, worker) : void
}
class LogWorker {
- log_ch_ : BoundedChannel<LogEntry>&
+ Run() : void
- FormatTimestamp(tp) : std::string
- ToSpdlogLevel(level) : spdlog::level::level_enum
- ToString(phase) : std::string
}
' --- Logging Relationships ---
LogEntry *-- LogLevel
LogEntry *-- PipelinePhase
PipelineLogger ..> LogEntry : emits
LogWorker ..> LogEntry : consumes
}
package "Infrastructure: Pipeline Channel" {
class "BoundedChannel<T>" as BoundedChannel {
- queue_ : std::queue<T>
- mutex_ : std::mutex
- not_full_ : std::condition_variable
- not_empty_ : std::condition_variable
- capacity_ : size_t
- closed_ : bool
+ Send(item : T) : void
+ Receive() : std::optional<T>
+ Close() : void
}
}
package "Infrastructure: Data Preloading" {
interface DataPreloader <<interface>> {
+ LoadLocations(filepath : const std::filesystem::path&) : std::vector<Location>
+ LoadBeerStyles(filepath : const std::filesystem::path&) : std::vector<BeerStyle>
+ LoadPersonas(filepath : const std::filesystem::path&) : std::vector<Persona>
+ LoadNamesByCountry(filepath : const std::filesystem::path&) : NamesByCountry
}
class JsonLoader {
+ LoadLocations(filepath : const std::filesystem::path&) : std::vector<Location>
+ LoadBeerStyles(filepath : const std::filesystem::path&) : std::vector<BeerStyle>
+ LoadPersonas(filepath : const std::filesystem::path&) : std::vector<Persona>
+ LoadNamesByCountry(filepath : const std::filesystem::path&) : NamesByCountry
}
}
package "Infrastructure: Enrichment" {
interface EnrichmentService <<interface>> {
+ GetLocationContext(loc : const Location&,\n strategy : const ContextStrategy&) : LocationContext
}
class WikipediaService {
- client_ : std::unique_ptr<WebClient>
- extract_cache_ : std::unordered_map<std::string, std::string>
+ GetLocationContext(loc : const Location&,\n strategy : const ContextStrategy&) : LocationContext
- FetchExtract(query : std::string_view) : std::string
}
interface WebClient <<interface>> {
+ Get(url : const std::string&) : std::string
+ UrlEncode(value : const std::string&) : std::string
}
class HttpWebClient {
+ Get(url : const std::string&) : std::string
+ UrlEncode(value : const std::string&) : std::string
}
}
package "Infrastructure: Data Generation" {
interface DataGenerator <<interface>> {
+ GenerateBrewery(location : const Location&,\n context : const LocationContext&) : BreweryResult
+ GenerateBeer(brewery_id : uint64_t,\n location : const Location&,\n context : const LocationContext&,\n style : const BeerStyle&) : BeerResult
+ GenerateUser(location : const Location&) : UserResult
+ GenerateCheckin(user : const GeneratedUser&,\n brewery : const GeneratedBrewery&,\n timestamp : const std::string&) : CheckinResult
+ GenerateRating(user : const GeneratedUser&,\n beer : const GeneratedBeer&,\n checkin_id : uint64_t) : RatingResult
}
class MockGenerator {
+ GenerateBrewery(...) : BreweryResult
+ GenerateBeer(...) : BeerResult
+ GenerateUser(...) : UserResult
+ GenerateCheckin(...) : CheckinResult
+ GenerateRating(...) : RatingResult
- DeterministicHash(location : const Location&) : size_t
}
class LlamaGenerator {
- model_ : ModelHandle
- context_ : ContextHandle
- prompt_formatter_ : std::unique_ptr<PromptFormatter>
- rng_ : std::mt19937
+ GenerateBrewery(...) : BreweryResult
+ GenerateBeer(...) : BeerResult
+ GenerateUser(...) : UserResult
+ GenerateCheckin(...) : CheckinResult
+ GenerateRating(...) : RatingResult
- Load(opts : const GeneratorOptions&) : void
- Infer(system_prompt, user_prompt,\n max_tokens, grammar) : std::string
- ValidateModelArchitecture() : void
}
interface PromptFormatter <<interface>> {
+ Format(system_prompt : std::string_view,\n user_prompt : std::string_view) : std::string
+ ExpectedArchitecture() : std::string_view
}
class Gemma4JinjaPromptFormatter {
+ Format(...) : std::string
+ ExpectedArchitecture() : std::string_view
}
}
package "Infrastructure: Data Export" {
interface ExportService <<interface>> {
+ Initialize() : void
+ ProcessBrewery(brewery : const GeneratedBrewery&) : uint64_t
+ ProcessBeer(beer : const GeneratedBeer&) : uint64_t
+ ProcessUser(user : const GeneratedUser&) : uint64_t
+ ProcessCheckin(checkin : const GeneratedCheckin&) : uint64_t
+ ProcessRating(rating : const GeneratedRating&) : void
+ ProcessFollow(follow : const GeneratedFollow&) : void
+ Finalize() : void
}
class SqliteExportService {
- date_time_provider_ : std::unique_ptr<DateTimeProvider>
- db_handle_ : SqliteDatabaseHandle
- insert_location_stmt_ : SqliteStatementHandle
- insert_brewery_stmt_ : SqliteStatementHandle
- insert_beer_stmt_ : SqliteStatementHandle
- insert_user_stmt_ : SqliteStatementHandle
- insert_checkin_stmt_ : SqliteStatementHandle
- insert_rating_stmt_ : SqliteStatementHandle
- insert_follow_stmt_ : SqliteStatementHandle
- transaction_open_ : bool
- location_cache_ : std::unordered_map<std::string, uint64_t>
- brewery_cache_ : std::unordered_map<std::string, uint64_t>
+ Initialize() : void
+ ProcessRecord(brewery : const GeneratedBrewery&) : uint64_t
+ ProcessRecord(beer : const GeneratedBeer&) : uint64_t
+ ProcessRecord(user : const GeneratedUser&) : uint64_t
+ ProcessRecord(checkin : const GeneratedCheckin&) : uint64_t
+ ProcessRecord(rating : const GeneratedRating&) : void
+ ProcessRecord(follow : const GeneratedFollow&) : void
+ Finalize() : void
- InitializeSchema() : void
- PrepareStatements() : void
- RollbackAndCloseNoThrow() : void
- FinalizeStatements() : void
}
interface DateTimeProvider <<interface>> {
+ GetUtcTimestamp() : std::string
}
class SystemDateTimeProvider {
+ GetUtcTimestamp() : std::string
}
}
class BiergartenPipelineOrchestrator {
- preloader_ : std::unique_ptr<DataPreloader>
- enrichment_service_ : std::unique_ptr<EnrichmentService>
- generator_ : std::unique_ptr<DataGenerator>
- logger_ : std::unique_ptr<Logger>
- exporter_ : std::unique_ptr<ExportService>
- brewery_context_strategy_ : std::unique_ptr<ContextStrategy>
- sampling_strategy_ : std::unique_ptr<SamplingStrategy>
- beer_selection_strategy_ : std::unique_ptr<BeerSelectionStrategy>
- checkin_strategy_ : std::unique_ptr<CheckinDistributionStrategy>
- follow_strategy_ : std::unique_ptr<FollowGenerationStrategy>
- beer_style_palette_ : std::vector<BeerStyle>
- options_ : ApplicationOptions
--
- user_pool_ : std::vector<GeneratedUser>
- brewery_pool_ : std::vector<GeneratedBrewery>
- beer_pool_ : std::vector<GeneratedBeer>
- checkin_pool_ : std::vector<GeneratedCheckin>
- follow_pool_ : std::vector<GeneratedFollow>
--
+ Run() : bool
- RunUserPhase(locations : const std::vector<Location>&) : void
- RunBreweryAndBeerPhase(locations : const std::vector<Location>&) : void
- RunCheckinPhase() : void
- RunRatingPhase() : void
- RunFollowPhase() : void
}
' --- Orchestration Aggregations (Services & Strategies) ---
BiergartenPipelineOrchestrator *-- DataPreloader
BiergartenPipelineOrchestrator *-- EnrichmentService
BiergartenPipelineOrchestrator *-- DataGenerator
BiergartenPipelineOrchestrator *-- ExportService
BiergartenPipelineOrchestrator *-- CheckinDistributionStrategy
BiergartenPipelineOrchestrator *-- FollowGenerationStrategy
BiergartenPipelineOrchestrator *-- SamplingStrategy
BiergartenPipelineOrchestrator *-- BeerSelectionStrategy
BiergartenPipelineOrchestrator *-- ApplicationOptions
BiergartenPipelineOrchestrator *-- Logger
' --- Orchestration Aggregations (Data Pools) ---
BiergartenPipelineOrchestrator *-- "0..*" GeneratedUser : user_pool_
BiergartenPipelineOrchestrator *-- "0..*" GeneratedBrewery : brewery_pool_
BiergartenPipelineOrchestrator *-- "0..*" GeneratedBeer : beer_pool_
BiergartenPipelineOrchestrator *-- "0..*" GeneratedCheckin : checkin_pool_
BiergartenPipelineOrchestrator *-- "0..*" GeneratedFollow : follow_pool_
' --- Interfaces & Implementations ---
DataPreloader <|.. JsonLoader
Logger <|.. PipelineLogger
ContextStrategy <|.. BreweryContextStrategy
ContextStrategy <|.. BeerContextStrategy
SamplingStrategy <|.. UniformSamplingStrategy
BeerSelectionStrategy <|.. RandomBeerSelectionStrategy
CheckinDistributionStrategy <|.. JCurveCheckinStrategy
CheckinDistributionStrategy <|.. RandomCheckinStrategy
FollowGenerationStrategy <|.. RandomFollowStrategy
FollowGenerationStrategy <|.. ActivityWeightedFollowStrategy
EnrichmentService <|.. WikipediaService
WebClient <|.. HttpWebClient
DataGenerator <|.. MockGenerator
DataGenerator <|.. LlamaGenerator
PromptFormatter <|.. Gemma4JinjaPromptFormatter
ExportService <|.. SqliteExportService
DateTimeProvider <|.. SystemDateTimeProvider
' --- Service Compositions & Dependencies ---
WikipediaService *-- WebClient
WikipediaService ..> ContextStrategy
LlamaGenerator *-- PromptFormatter
LlamaGenerator ..> GeneratorOptions
SqliteExportService *-- DateTimeProvider
' --- Cross-Component Aggregations (Held References) ---
PipelineLogger o-- BoundedChannel : logs to
LogWorker o-- BoundedChannel : drains from
' --- Domain Containment ---
EnrichedCity *-- Location
EnrichedCity *-- LocationContext
GeneratedBrewery *-- Location
GeneratedBrewery *-- BreweryResult
GeneratedBrewery *-- GenerationMetadata
GeneratedBeer *-- Location
GeneratedBeer *-- BeerStyle
GeneratedBeer *-- BeerResult
GeneratedBeer *-- GenerationMetadata
GeneratedUser *-- Location
GeneratedUser *-- UserResult
GeneratedUser *-- GenerationMetadata
GeneratedCheckin *-- CheckinResult
GeneratedCheckin *-- GenerationMetadata
GeneratedRating *-- RatingResult
GeneratedRating *-- GenerationMetadata
GeneratedFollow *-- GenerationMetadata
@enduml

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@@ -1,303 +0,0 @@
[2026-04-18 14:36:49.935] [info] [Generator] Using LlamaGenerator: ../models/google_gemma-4-E4B-it-Q6_K.gguf (temperature=1, top-p=0.95, top-k=64, n_ctx=8192, seed=-1)
[2026-04-18 14:36:54.526] [info] [LlamaGenerator] Loaded model: ../models/google_gemma-4-E4B-it-Q6_K.gguf
[2026-04-18 14:36:54.527] [info]
=== GEOGRAPHIC DATA OVERVIEW ===
[2026-04-18 14:36:54.527] [info] [JsonLoader] Loaded 5 locations from locations.json
[2026-04-18 14:36:54.527] [info] Locations available: 5
[2026-04-18 14:36:54.527] [info] Sampled locations: 5
[2026-04-18 14:36:57.218] [info]
=== SAMPLE BREWERY GENERATION ===
[2026-04-18 14:36:57.221] [info] LlamaGenerator: Loaded brewery system prompt from 'prompts/system.md' (6489 chars)
[2026-04-18 14:40:04.206] [info] LlamaGenerator: raw output (attempt 1): Here's a thinking process that leads to the desired output:
1. **Analyze the Request & Constraints:**
* **Role:** Expert Brewery Copywriter, Architectural Observer, Master of Zymurgy.
* **Goal:** Create a fake, contextually accurate name and matching description for a craft brewery in Kinshasa, DRC.
* **Inputs:** City (Kinshasa), Country (DRC), Languages (fr-CD, ln), Context (None provided, so must derive context from Kinshasa/DRC).
* **Critical Output Format:** Strict JSON, no markdown, no code fences, specific keys (name_en, description_en, name_local, description_local).
* **Length:** 225-300 words per description (continuous string).
* **Tone/Voice:** First-person collective ("we/our"), lived-in, weathered, owner perspective.
* **Mandatory Elements:** Sensory Hook (1st sentence), Geographic/Cultural Anchor (DRC/Kinshasa specifics), Technical Brewing Detail, Architectural Detail, Low-Key Invitation (last sentence).
* **Strict Blocklist:** (e.g., 'hidden gem', 'passion', 'repurposed dairy tank', 'grab a stool', etc.).
* **Anti-AI Patterns:** No negative parallelism, no inflated significance phrases, etc.
* **Language Handling:** description_local must sound idiomatic in French-Kinshasa (fr-CD).
2. **Analyze the Context (Kinshasa/DRC):**
* **Geography:** Massive, tropical, hot, dense traffic, vibrant noise, bustling market energy.
* **Culture:** Rich history, Congolese diaspora, blend of traditional practices with modernity, strong communal spirit, reliance on local resources.
* **Brewing Context (Improvisation):** Craft brewing in this environment must acknowledge challenges (power, climate, resource sourcing) while celebrating local adaptation.
* **Potential Elements:** Local grains (millet, sorghum?), traditional fermentations, adapting to high heat, use of local woods/materials for construction.
3. **Develop the Concept (The Brewery):**
* **Name (English):** Needs to evoke Kinshasa/DRC environment or materials. *Mosi* (King/Chief in some Bantu languages) or a place name. Let's go with something related to the river/heat. *Lekele* (a fictional, local-sounding name). Let's try *Balebo Brewworks* (Balebo is a local reference, but sounds generic). How about focusing on the energy? *Mwami Kivu* (Chief of Kivu, referencing regional pride). Let's simplify and make it sound like a place: *Plateau Flow*. No, too Western. Let's use a French/local blend. *Le Cœur Vert* (The Green Heart) or *Zaïre Flow* (historic reference). Let's pick *La Roue du Congo*.
* **Name (Local/Fr-CD):** *La Roue du Congo*.
* **Brewing Detail:** High heat management is crucial. Let's use a specific technique related to tropical climate control or resource usage, e.g., utilizing evaporative cooling/advanced fermentation protocols optimized for tropical temperatures. Or focusing on local grain adaptation (e.g., utilizing millet/sorghum mash). Let's go with adapting the mash profile for high ambient temperatures, specifically by using cooler, mineral-rich water sources common in the region and adjusting the strike water volume significantly.
* **Architectural Detail:** Needs to relate to aging infrastructure in a tropical city. Metal fatigue, heavy tropical wood rot, specific brickwork common to colonial-era buildings. Let's focus on the heavy, humid air and the way the old corrugated metal roof groans during the heat.
4. **Drafting - English Description (Iterative Refinement):**
* *Hook:* (Sensory observation) The humid air always carries the scent of charcoal smoke mixed with ripe mangoes, a smell we've come to associate with the steady hum of the city.
* *Architectural Detail:* Our main fermentation hall sits in a former administrative building; the original corrugated iron roof groans under the weight of the humid sky, a sound that has become the rhythm of our shifts.
* *Cultural/Geographic Anchor:* Reference the density, the local rhythm, or a specific historical touchpoint of Kinshasa. (The city's relentless energy, the resilience).
* *Technical Detail:* The high heat requires unique adjustments. We rely on deep mineral water sources, radically adjusting the strike water profile to maintain a consistent saccharification process despite the aggressive ambient temperature.
* *Synthesis & Flow:* Combine these points, maintaining the first-person, weathered tone. Check word count (aim for 250).
* *Invitation:* Specific, low-key. (e.g., "The cooler benches near the back window are always open.")
5. **Drafting - Local Description (French-Kinshasa, fr-CD):**
* Translate the concept, ensuring the register is appropriate (less formal, more direct, local idioms).
* Focus on maintaining the *feeling* of the narrative, not just the literal translation.
* Ensure the technical terms translate naturally into the local brewing context.
* Check word count (aim for 250).
6. **Final Review against Constraints:**
* JSON format? Yes.
* No markdown/fences? Yes.
* 4 specific keys? Yes.
* Escape quotes/single quotes? Yes.
* Length 225-300? Yes.
* Hook, Anchor, Technical, Architecture, Invitation? Yes.
* Blocklist checked? Yes.
* AI patterns checked? Yes.
* Voice (We/Our, weathered)? Yes.
* Local language idiomatic? Yes (Fr-CD tone).
7. **Construct the final JSON.** (Self-Correction: Ensure the entire descriptions are one continuous string without line breaks). (Ready to output).<channel|>{
"name_en": "La Roue du Congo",
"description_en": "The humid air always carries the scent of charcoal smoke mixed with ripe mangoes, a smell we've come to associate with the steady, relentless hum of the city. Our main fermentation hall sits in a former administrative building, and the original corrugated iron roof groans under the weight of the heavy, humid sky, a sound that has become the deep rhythm of our shifts. Kinshasa moves at a speed that demands resilience, and so does the process of turning water and grain into something substantial. To handle the aggressive ambient heat, we rely on deep mineral water sources pulled from the peripheral basin, radically adjusting the strike water profile to maintain a consistent saccharification process despite the demanding tropical temperatures. We observe how the building itself accepts the climate; the old, dark mahogany supports, warped by decades of tropical moisture, bear the strain of the constant vibration from the nearby transport lines. Every batch we brew is an adaptation, acknowledging the resourcefulness of this place and its people. We experiment with grains suited to the region's climate, refining techniques passed down through informal local networks. Our goal isn't just fermentation; it is a careful partnership with the environment, honoring the density and the powerful lifeblood of the city. If you want to feel the weight of the city beneath the brass fittings of our mash tun, come sit by the back window facing the old market square.",
"name_local": "La Roue du Congo",
"description_local": "L'air humide porte toujours le parfum de la fumée de charbon mélangée aux mangues mûres, une odeur que nous associons au bourdonnement constant et infatigable de la ville. Notre hall de fermentation principal est dans un ancien bâtiment administratif, et le toit en tôle ondulée d'origine gémit sous le poids du ciel lourd et humide, un son qui est devenu le rythme profond de nos quarts de travail. Kinshasa évolue à une vitesse qui exige de la résistance, et le processus de transformer de l'eau et des grains en quelque chose de substantiel exige la même chose. Pour gérer cette chaleur ambiante agressive, nous nous appuyons sur des sources d'eau minérale profondes tirées du bassin périphérique, ajustant radicalement le profil d'eau de mise pour maintenir un processus de saccharification constant malgré les températures tropicales exigeantes. Nous observons comment le bâtiment lui-même accepte le climat; les vieux supports en acajou foncé, déformés par des décennies d'humidité tropicale, supportent la tension des vibrations constantes des lignes de transport proches. Chaque lot que nous brassons est une adaptation, reconnaissant l'ingéniosité de cet endroit et de ses habitants. Nous expérimentons avec des grains adaptés au climat de la région, affinant des techniques transmises par des réseaux locaux informels. Notre but n'est pas seulement la fermentation; c'est un partenariat attentif avec l'environnement, honorant la densité et le flux de vie puissant de la ville. Si vous voulez ressentir le poids de la ville sous les raccords en laiton de notre cuve de brassage, venez vous asseoir près de la fenêtre du fond qui donne sur la vieille place du marché."
}
[2026-04-18 14:40:04.208] [info] LlamaGenerator: successfully generated brewery data on attempt 1
[2026-04-18 14:42:23.203] [info] LlamaGenerator: raw output (attempt 1): Here's a plan to fulfill the request:
1. **Analyze Inputs:**
* City: Paris
* Country: France
* Language: fr-FR (French)
* Context: Parisian/French brewing history, dominated by pilsner lager, traditional styles exist (Bière de Garde), decline of rural breweries due to industrialization, renewed interest in microbreweries, strong regional ties (Alsace, Nord).
2. **Determine Tone and Voice:** Expert brewery owner, weathered, observational, first-person plural ("we/our").
3. **Develop Core Concepts (Constraints Checklist):**
* *Name:* Must sound authentically Parisian/French.
* *Sensory Hook:* Must start with an observation of Parisian environment (smell, sound, weather).
* *Geographic/Cultural Anchor:* Must connect to Paris, the history of small breweries, or the contrast between traditional local styles and industrial dominance.
* *Technical Brewing Detail:* Must be highly specialized (e.g., specific fermentation, water chemistry, unique grain handling).
* *Architectural Detail:* Must focus on the specific building structure/wear in Paris.
* *Invitation:* Last sentence must be a specific, low-key location point.
* *Language Localization:* `name_local` and `description_local` must be natural, idiomatic French (fr-FR), matching the register.
* *Word Count/Format:* 225-300 words each. Strict JSON format, no markdown, no escapes unless needed for quotes.
* *Blocklist Check:* Avoid all forbidden words/phrases.
4. **Drafting - English (Mental Draft/Refinement):**
* *Name Idea:* Something classic but slightly intellectual/historical. Maybe referencing a Parisian street or concept. (e.g., Le Moulin des Brasseurs, L'Usine de la Seine).
* *Refining Name:* Let's go with something that hints at old craft and urbanity. "La Brasserie de l'Atelier Urbain."
* *Sensory Hook:* The sound of Parisian traffic mixed with the smell of rain on cobblestones.
* *Cultural Anchor:* Reference the old system of small, local brewers that vanished due to urban growth.
* *Technical Detail:* Focus on water chemistry specific to Paris, maybe using low-mineral city water and adjusting the mash profile heavily.
* *Architectural Detail:* The building is an old industrial structure, perhaps with uneven ceiling plaster or specific ironwork.
* *Invitation:* Direct reference to a specific corner or bench.
5. **Translation and Polish (French Focus):** Ensure the register is suitable for a Parisian microbrewery owner—sophisticated, artisanal, perhaps slightly dramatic, but grounded.
6. **Final Review against constraints.** (The word count and strict JSON format are paramount.) (Self-Correction: Ensure the French translation maintains the complex technical and narrative weight of the English version.)<channel|>{
"name_en": "La Brasserie de l'Atelier Urbain",
"description_en": "The perpetual smell of rain hitting the ancient cobblestones, followed by the sharp, metallic scent of the Métro rushing beneath us, is what always wakes us up. We inherited this space from a watchmaker in the early 1900s, and the faint, oily smell of brass polish still lingers in the high ceiling beams, a scent we've learned to live with. This particular building, with its original blackened iron supports that sway slightly when the winter wind hits them, tells a story of pre-industrial craftsmanship that feels entirely foreign to the modern Parisian rhythm. We started here precisely because the great waves of industrialization emptied out the smaller, deeply localized breweries that once served the neighborhood, replacing them with the standardized lager. Our dedication is to that lost method. Our water profile, naturally drawn from the city's complex Parisian aquifer, is exceedingly soft; we compensate by employing a specific regimen of adjunct grains, using finely milled corn and local rye to achieve a texture and body far removed from the usual pilsners. Furthermore, we are meticulous about our fermentation; every batch undergoes a controlled, long-term mixed culture maturation, allowing indigenous yeasts to provide complexity that mass-produced methods dismiss. This practice honors the slow, seasonal brewing tradition that existed before the city swelled and everything became uniform. It is the memory of those small, dedicated rural brewers that drives us forward. We believe that complexity is not a trend, it is necessity. You can find our latest selection near the corner, just past the old florist shop.",
"name_local": "La Brasserie de l'Atelier Urbain",
"description_local": "L'odeur perpétuelle de la pluie frappant les pavés anciens, suivie du parfum métallique aigu du Métro qui nous passe en dessous, c'est ce qui nous réveille toujours. Nous avons hérité de cet espace d'un horloger au début des années 1900, et la faible senteur d'huile de polissage de laiton persiste dans les poutres du plafond haut, une odeur à laquelle nous avons appris à nous habituer. Ce bâtiment en particulier, avec ses supports en fer noircis originaux qui oscillent légèrement quand le vent d'hiver les frappe, raconte une histoire d'artisanat préindustriel qui nous paraît totalement étranger au rythme parisien moderne. Nous avons commencé ici précisément parce que les grandes vagues d'industrialisation ont vidé les petites brasseries locales et profondément ancrées qui desservaient autrefois le quartier, les remplaçant par la lager standardisée. Notre engagement est envers cette méthode disparue. Notre profil d'eau, tiré naturellement de l'aquifère parisien complexe, est extrêmement doux ; nous compensons en utilisant un régime spécifique de céréales d'appoint, en utilisant du maïs et du seigle finement moulus pour obtenir une texture et un corps bien éloignés des pilsners habituelles. De plus, nous sommes méticuleux concernant notre fermentation ; chaque lot subit une maturation contrôlée et longue, permettant aux levures indigènes d'apporter une complexité que les méthodes de production de masse ignorent. Cette pratique honore la tradition brassicole lente et saisonnière qui existait avant que la ville ne gonfle et que tout ne devienne uniforme. C'est le souvenir de ces petits brasseurs ruraux, dévoués, qui nous pousse en avant. Nous pensons que la complexité n'est pas une tendance, c'est une nécessité. Vous trouverez notre dernière sélection près du coin, juste après la vieille fleuriste."
}
[2026-04-18 14:42:23.205] [info] LlamaGenerator: successfully generated brewery data on attempt 1
[2026-04-18 14:45:06.674] [info] LlamaGenerator: raw output (attempt 1): Thinking Process:
1. **Analyze the Request & Constraints:**
* **Role:** Expert Brewery Copywriter, Architectural Observer, Master of Zymurgy.
* **Goal:** Create a fake, contextually accurate name and description (English/Local) for a craft brewery in Abidjan, Ivory Coast.
* **Format:** Strict JSON structure, NO Markdown fences, NO extra text.
* **Length:** 225-300 words per description.
* **Language:** French (fr-CI).
* **Voice:** First-person ("we"/"our"), weathered, lived-in tone.
* **Crucial Elements:** Sensory hook (1st sentence), Geographic/Cultural Anchor, Specialized Brewing Detail, Architectural/Environmental Detail, Low-key Invitation (last sentence).
* **Blocklist/Anti-Patterns:** Strict avoidance of clichés, inflated language, and specific forbidden words.
2. **Analyze the Input Data (Abidjan, Ivory Coast, fr-CI):**
* **CITY:** Abidjan (a bustling, modern, coastal city, major economic hub).
* **COUNTRY:** Ivory Coast.
* **LANGUAGE:** French (fr-CI).
* **CONTEXT:** (Missing, but I must infer context based on the city and country). Abidjan is known for its tropical climate, dense urban environment, proximity to the lagoon, and blend of modern commerce with older colonial/local architecture. The local beer culture, if it exists, would likely be adapting modern craft trends to a warm, humid environment and the availability of local ingredients (tropical fruits, specific grains).
3. **Develop Core Concepts (The Story):**
* **Name:** Needs to sound sophisticated but rooted in the location. Abidjan has a specific atmosphere. Let's focus on the lagoon or the environment. *Example idea: Les Marais du Cocody* (too specific) or something related to the heat/coast. Let's go with a name referencing the city's busy, dynamic nature: *Le Ruisseau du Plateau* (The Stream of the Plateau).
* **Setting/Architecture:** Abidjan has a mix of grand, aging colonial structures and modern concrete. I will focus on an older building, perhaps with heavy humidity damage or unique tiling/brickwork—a sign of age in the tropical climate.
* **Geographic/Cultural Anchor:** Focus on the tropical heat and humidity, linking it to the city's rapid growth and the historical blend of cultures in the region.
* **Technical Brewing Detail:** Given the tropical climate, dealing with high ambient heat and humidity is key. Specialized water treatment or using specific fermentation techniques suited to warm environments (like Brettanomyces or specific tropical yeast strains). I will use *spontaneous fermentation* with local, wild yeast adapted to the West African climate.
* **Sensory Hook:** The smell or sound of the tropical urban environment (e.g., the heavy scent of salt and diesel, the persistent sound of the lagoon traffic).
4. **Drafting - English (Iterative Refinement):**
* *Hook:* Start with the humidity/heat.
* *Architecture:* Describe the aging structure (e.g., heavy wrought iron, porous walls).
* *Brewing Detail:* Spontaneous fermentation using local flora.
* *Cultural/Geographic:* Tie it to the lagoon/coastal environment.
* *Invitation:* Low-key directive.
5. **Translating and Localizing - French (fr-CI):**
* The French must sound idiomatic for Abidjan (West African French).
* Maintain the exact structure and length constraints.
* The register must be conversational and rooted in local experience.
6. **Final Review against Constraints:**
* JSON format? Yes.
* No markdown/code fences? Yes.
* Length (225-300 words)? Yes (checking word count for both).
* First-person owner voice? Yes.
* Hook, Anchor, Technical, Architectural, Invitation? All present.
* Blocklist avoided? Yes.
* Quotes handled correctly (escaped or single quotes)? Yes.
* Continuous strings (no line breaks)? Yes.
*(Self-Correction during drafting: Ensure the technical detail isn't just 'tropical yeast' but describes the *process* or *adaptation* related to zymurgy.)*
7. **Generating the Output.** (Proceeding to JSON construction.)<channel|>{
"name_en": "Le Ruisseau du Plateau",
"description_en": "The persistent, humid scent of salt mixed with dust and diesel always catches us when we step out onto the main square. That scent is the breath of Abidjan, and it is the smell of our craft. We chose this particular stretch of the plateau because it feels like the heart of the city, a place where the old colonial lines still meet the frantic energy of today. Our brewery itself is housed in one of those massive brick buildings, the kind whose walls are so porous they seem to hold the heat of the tropics long after sunset. Weve learned to live with that deep-set patina, the slight efflorescence tracing the grout, and the rhythmic shudder of the old iron supports during the heavy rain. We only work with the strains of local wild yeast, allowing them to ferment spontaneously in our heavy copper kettles. These strains have adapted over centuries to the unique microclimate of the lagoon basin, offering complex, earthy notes that taste profoundly West African. Its a painstaking process, one that honors the unexpected biodiversity of the immediate environment. Our process demands patience, a virtue often missing in this hyper-speed city. We believe that the beer must reflect the rhythm of the city itself—strong, complex, and untamed. We take great pride in how our malt base, locally sourced where possible, interacts with the water profile unique to this coastal region. We only use the highest quality Sierra Leonean malts and craft our brews in the back room, tucked just off the old administrative alley, near the market entrance.",
"name_local": "Le Ruisseau du Plateau",
"description_local": "La senteur tenace et humide du sel mélangée à la poussière et au diesel nous frappe toujours lorsque nous sortons sur la place principale. Cette odeur est le souffle d'Abidjan, et c'est l'odeur de notre artisanat. Nous avons choisi cette section particulière du Plateau car elle ressemble au cœur de la ville, un lieu où les vieilles lignes coloniales rencontrent encore l'énergie effrénée d'aujourd'hui. Notre brasserie elle-même est logée dans l'un de ces immenses bâtiments en briques, ceux dont les murs sont si poreux qu'ils semblent retenir la chaleur des tropiques bien après le coucher du soleil. Nous avons appris à vivre avec cette patine profonde, cette légère efflorescence qui trace le mortier, et le tremblement rythmique des vieux supports en fer pendant les fortes pluies. Nous n'utilisons que les souches de levure sauvage locale, les laissant fermenter spontanément dans nos lourdes chaudières en cuivre. Ces souches se sont adaptées au cours des siècles au microclimat unique du bassin lagunaire, offrant des notes terreuses et complexes qui ont un goût profondément ouest-africain. C'est un processus exigeant, une vertu souvent absente dans cette ville hyper-rapide. Nous pensons que la bière doit refléter le rythme de la ville elle-même—forte, complexe et indomptée. Nous prenons une grande fierté de la manière dont notre base de malt, sourcée localement si possible, interagit avec le profil d'eau unique de cette région côtière. Nous utilisons uniquement les meilleurs malts du Sierra Leone, et nous réalisons nos bières dans la pièce du fond, nichée juste à côté de l'ancienne allée administrative, près de l'entrée du marché."
}
[2026-04-18 14:45:06.675] [info] LlamaGenerator: successfully generated brewery data on attempt 1
[2026-04-18 14:47:55.003] [info] LlamaGenerator: raw output (attempt 1): Here's a thinking process to ensure all constraints are met:
1. **Analyze the Request and Inputs:**
* **City:** Montreal
* **Country:** Canada
* **Local Language Codes:** fr-CA (Québécois French)
* **Context:** Deep history of brewing (17th century), impact of prohibition, rise of small/craft breweries, beer as a cultural fixture.
* **Target Output:** JSON containing four keys: `name_en`, `description_en`, `name_local`, `description_local`.
* **Constraints Checklist:**
* Expert Brewery Copywriter, Architectural Observer, Master of Zymurgy. (Voice)
* No Markdown/JSON wrapping/preamble. (Format)
* Exact four keys, no renames. (Format)
* Escape quotes or use single quotes. (Format)
* No line breaks in strings. (Format)
* Length: 225-300 words per description. (Length)
* Hook: Sensory environmental observation (personal). (Content)
* Anchor: Deeply tied to Montreal/Quebec culture/history. (Content)
* Technical Detail: Highly specialized brewing method. (Content)
* Architectural Detail: Specific, familiar, non-cliché. (Content)
* Invitation: Low-key, concrete place, personal. (Content)
* Local Language Version: `name_local` translated/adapted, `description_local` idiomatic Québecois French. (Localization)
* Blocklist: No forbidden words/phrases. (Constraint)
* Anti-AI Patterns: No negative parallelism, inflated significance, superficial trailing analyses, promotional tone, weak transitions, rule of three. (Constraint)
* Voice: First person (We/Our, sparingly I). Lived-in, weathered tone. (Voice)
2. **Develop the Concept (Montreal/Quebec Focus):**
* *Name:* Needs a Montreal/Quebec flavour. Something old-school but slightly artisanal. Focus on stone, climate, or old industry.
* *Setting:* Montreal has old stone architecture, industrial past (Canal/Ironworks), and a distinct cold/wet climate.
* *History Tie-in:* The struggle against prohibition or the old colonial brewing traditions.
* *Brewing Method (Technical):* Given the cold climate, perhaps focus on low-temperature fermentation or a specific water mineral profile, or maybe local flora yeast. Let's go with a unique water profile adjustment referencing the limestone geology often found in Quebec.
* *Architecture:* An old stone building, perhaps near an industrial area, with noticeable wear (e.g., specific brick crumbling, old window frames).
3. **Drafting - English (Self-Correction & Refinement):**
* *Hook:* Start with the sound or smell of Montreal (e.g., wet cobblestones, late-fall air, the distant roar of the city).
* *Name Draft:* Les Piliers du Grand Fleuve (The Pillars of the Great River).
* *Architecture:* The massive granite foundation of the building, cracked mortar from decades of freeze/thaw cycles.
* *Technical:* Using specialized techniques to manage the calcium and magnesium content in the Saguenay water source to achieve specific hop bitterness.
* *Cultural Anchor:* A nod to the city's early French industrial history or the resilience of small operations after major changes.
* *Invitation:* Point to a specific corner or seating area.
4. **Reviewing the English Draft against Constraints:**
* *Length Check:* Aiming for 250 words.
* *Voice Check:* First person plural (We/Our).
* *Blocklist Check:* No forbidden words.
* *Flow Check:* Personal, lived-in tone.
5. **Translating and Adapting to French (fr-CA):**
* The translation must sound like it was written by a native Québécois speaker, not a direct Google Translate. Vocabulary, idioms, and slightly more relaxed/local phrasing are needed.
* The tone must remain the same, but the cultural references must resonate locally.
6. **Final Polish and JSON Formatting:** (Ensuring absolutely no extra characters or formatting.) (The drafting process below leads directly to the final output.)<channel|>{
"name_en": "Les Piliers du Grand Fleuve",
"description_en": "There is always the smell of damp granite and fallen maple leaves hanging in the air, especially when the wind whips down from the river and settles into the old stone courtyard. We have noticed that smell our entire lives, the mixture of cold water, city soot, and the faintest trace of fermenting malt. This building, with its massive granite foundation, bears the weight of centuries; you can trace the deep, hairline cracks in the mortar where decades of Montreals freeze-thaw cycles have done their slow work. We are a continuation of the citys oldest craft, a defiance of the monolithic brewing houses that took hold after the prohibition era. Our brewing tradition is intimately tied to the local limestone geology. We meticulously adjust the water profile, managing the calcium and magnesium balance derived from the local hydrogeology, allowing us to coax maximum, balanced bitterness from the regional hops. This dedication to the specific terroir means our beers carry a subtle mineral resonance, a true taste of the St. Lawrences watershed. While the global industry trends move quickly, we find steady solace in the rhythmic, slow work of the mash tun, relying on generational knowledge passed down in the chilly evenings. This commitment to quality means we focus on the nuanced complexity of the yeast strains indigenous to this river basin. We believe the proper balance of bitterness and malt complexity tells a deeper story of this northern soil than any label ever could. If youre looking for a quiet spot, the corner near the back wall, where the light catches the chipped bricks, is usually the most peaceful.",
"name_local": "Les Piliers du Grand Fleuve",
"description_local": "Il y a toujours l'odeur de granit humide et de feuilles d'érable tombées qui flotte dans l'air, surtout quand le vent descend du fleuve et s'installe dans la vieille cour de pierre. On a remarqué cette odeur toute notre vie, le mélange de l'eau froide, de la crasse de ville et d'une légère touche de malt en fermentation. Ce bâtiment, avec son immense fondation de granite, porte le poids des siècles; on peut voir les fissures profondes, des lignes capillaires dans le mortier où les cycles de gel et de dégel de Montréal ont fait leur travail lent. Nous sommes la continuation de l'artisanat le plus ancien de la ville, une façon de résister aux grandes brasseries monolithiques qui ont pris le dessus après l'ère de l'interdiction. Notre tradition de brassage est intimement liée à la géologie calcaire locale. Nous ajustons méticuleusement le profil de l'eau, en gérant l'équilibre du calcium et du magnésium tirés de l'hydrogéologie locale, ce qui nous permet d'extraire une amertume maximale et équilibrée des houblons de la région. Ce dévouement à un terroir spécifique fait que nos bières portent une subtile résonance minérale, un goût véritable du bassin versant du Saint-Laurent. Même si les tendances mondiales de l'industrie évoluent rapidement, nous trouvons un réconfort stable dans le travail lent et rythmique du brassin, en nous appuyant sur des connaissances générationnelles transmises lors des soirées froides. Cet engagement envers la qualité signifie que nous nous concentrons sur la complexité nuancée des souches de levure indigènes à ce bassin fluvial. Nous croyons que le juste équilibre entre l'amertume et la complexité du malt raconte une histoire plus profonde de cette terre nordique que n'importe quelle étiquette ne pourrait le faire. Si vous cherchez un endroit tranquille, le coin près du mur du fond, là où la lumière accroche les briques écaillées, est généralement le plus paisible."
}
[2026-04-18 14:47:55.004] [info] LlamaGenerator: successfully generated brewery data on attempt 1
[2026-04-18 14:50:56.464] [info] LlamaGenerator: raw output (attempt 1): Thinking Process:
1. **Analyze the Request and Constraints:**
* **Role:** Expert brewery copywriter, architectural observer, master of zymurgy.
* **Goal:** Fake, contextually accurate name and matching description for a craft brewery in Brussels, Belgium.
* **Output Format:** Strict JSON (no markdown, no code blocks, specific keys, single continuous string descriptions).
* **Length:** 225-300 words per description.
* **Voice:** First person (owner's perspective), lived-in, weathered, collective ("we/our").
* **Constraints Checklist:**
* Hook (sensory environmental observation).
* Geographic/Cultural Anchor (Brussels/Belgian history/culture).
* Technical Brewing Detail (highly specialized, varied).
* Architectural Detail (specific, familiar wear/structure).
* Invitation (low-key, specific location).
* Local Language Version (fr-BE or nl-BE, idiomatic register).
* Blocklist adherence (No forbidden words/patterns).
* No internal line breaks (\n).
* Quotes must be handled correctly.
2. **Analyze the Input Data (Brussels/Belgium):**
* **City:** Brussels.
* **Country:** Belgium.
* **Local Languages:** fr-BE, nl-BE. (I will aim for sophisticated Belgian French, given the dense historical/cultural context).
* **Context:** Deep history (Roman era), diversity (Abbey, Lambic, Pilsner, Flemish Red, Sour Brown, etc.), UNESCO recognition, transition from gruit to hops, specific regional styles (Leuven white, Ghent uitzet).
3. **Develop the Core Concept (The Brewery):**
* **Style/Theme:** Given the context of historical revival (gruit) and the city's industrial/historical architecture, a brewery focusing on traditional, perhaps slightly aggressive/sour Belgian styles, linked to local history, would be fitting.
* **Name Generation (English):** Needs to sound historical, Brussels-adjacent, or Flemish. *Example: The Old Zythology Club, Zythos Atelier, Grand Rue Malt House.* Let's go with something that hints at the building's age and the craft.
* **Name Selection (English):** "L'Atelier du Gruit" (The Gruit Workshop) is too direct. How about referencing a specific local building characteristic? "Rue des Mains Anciennes" (Street of Old Hands). Let's focus on a historical trade or place.
* *Final Name Idea:* "De Oude Molen" (The Old Mill) or a more evocative Belgian/French mix. Let's settle on a strong, slightly archaic French name: "La Forge de la Mousseline" (The Forge of the Mousseline/Foam), implying brewing craft and local materials. Or something referencing the historical nature: "La Brasserie du Pèlerin" (The Pilgrim Brewery). Let's use a name referencing historical processes: "Le Moulin de Zythos."
4. **Drafting the Content - English Description (Focusing on Constraints):**
* **Hook (Sensory):** Smell of wet cobblestones and charcoal smoke in the early afternoon.
* **Geographic/Cultural Anchor:** Reference the transition from gruit to hops, or the influence of medieval Belgian brewing.
* **Technical Detail (Zymurgy):** Use spontaneous fermentation with specific local/wild strains (like Brettanomyces) to create a unique funk or sour profile, echoing the Lambic/Flemish tradition.
* **Architectural Detail:** The building is likely a 19th-century industrial structure. Mention the heavy, worn stone and specific structural elements (e.g., massive supporting beams, stained brickwork).
* **Invitation (Low-key):** Direct reference to a specific spot (e.g., the reading nook by the back window, the counter in the cellar).
* **Review Length/Tone:** Ensure the language is weathered, collective ("we"), and avoids blocklisted words.
*(Self-Correction during drafting: Ensure the architectural detail isn't just "old," but describes its *wear* or *structure* intimately.)*
5. **Drafting the Content - Local Language Description (Belgian French - fr-BE):**
* Translate the concepts while ensuring the idiom feels genuinely local (i.e., not a literal translation of the English academic tone). Belgian French often retains certain Gallic or Northern French characteristics.
* Maintain the structure and length (225-300 words).
6. **Final Review and JSON Construction:**
* Check all constraints one last time: No markdown, no code fences, specific key order, quote escaping (if necessary), single continuous strings, word count met.
*(Proceeding with the drafting based on these steps.)*<channel|>{
"name_en": "Le Moulin de Zythos",
"description_en": "The way the humid Brussels air settles on the worn cobblestones, carrying the faint, metallic tang of rainwater and distant charcoal, is the first thing we notice every spring morning. Our history here runs deep, tied not just to the city's current pace, but back to those earlier days when herbs and spices, the gruit, flavored the brews before the widespread adoption of hops. We honor that ancient Belgian patience in our cellars. Our facility is housed within a massive, late 19th-century factory shell; we feel the weight of its construction every time we walk past the deep, riveted cast iron columns that support the main vaulted roof, columns that have borne industrial labor for over a century. Our focus is on radical yet historical profiles. We utilize a carefully curated indigenous strain of Brettanomyces, cultivated right here on grain husks, allowing for a spontaneous, unpredictable souring process that echoes the old traditions of the Flemish Red and the regional Lambics. This slow, natural funk requires intense patience and a constant, nuanced adjustment of the fermentation schedule to ensure the complexity reaches its peak. It is not about quick production; it is about letting the fermentation breathe and evolve naturally within the heavy, cool stone environment. Our process is deeply tied to the local earth, reflecting the enduring artisanal spirit of this region. We keep the old brass gauges from the original steam engine exposed in the viewing corridor, remnants of a different industrial age, and they serve as a constant, quiet reminder of where we started. If youre looking for a quiet corner to observe the subtle evolution of a barrel-aged Saison, the small bench just by the back window overlooking the alley is usually unoccupied.",
"name_local": "Le Moulin de Zythos",
"description_local": "La façon dont l'air humide de Bruxelles se pose sur les pavés usés, portant cette saveur métallique légère de pluie et de charbon lointain, c'est la première chose que nous remarquons chaque matin de printemps. Notre histoire est profonde, liée non seulement au rythme actuel de la ville, mais à ces jours plus anciens où les herbes et les épices, le gruit, parfumaient les brassins avant l'adoption généralisée du houblon. Nous honorons cette ancienne patience belge dans nos caves. Notre installation est abritée dans une coquille d'usine massive de la fin du XIXe siècle; nous ressentons le poids de sa construction chaque fois que nous passons devant les profondes colonnes de fonte rivetées qui soutiennent la voûte principale, des colonnes qui ont supporté le travail industriel pendant plus d'un siècle. Notre objectif est d'obtenir des profils radicaux mais historiques. Nous utilisons une souche indigène de Brettanomyces soigneusement sélectionnée, cultivée ici même sur des drêches, permettant une acidité spontanée et imprévisible qui rappelle les vieilles traditions des rouges flamands et des Lambics régionaux. Cette effervescence lente et naturelle exige une patience intense et un ajustement constant et nuancé du calendrier de fermentation pour que la complexité atteigne son apogée. Il ne s'agit pas de production rapide; il s'agit de laisser la fermentation respirer et évoluer naturellement au sein de l'environnement lourd et froid de la pierre. Notre processus est profondément lié à la terre locale, reflétant l'esprit artisanal durable de cette région. Nous conservons les anciens manomètres en laiton du moteur à vapeur original exposés dans le couloir d'observation, des vestiges d'un autre âge industriel, et ils servent de rappel constant et silencieux de notre point de départ. Si vous cherchez un coin tranquille pour observer l'évolution subtile d'une Saison en fût, le petit banc près de la fenêtre du fond, donnant sur la ruelle, est généralement libre."
}
[2026-04-18 14:50:56.466] [info] LlamaGenerator: successfully generated brewery data on attempt 1
[2026-04-18 14:50:56.466] [info]
=== GENERATED DATA DUMP ===
[2026-04-18 14:50:56.466] [info] 1. city="Kinshasa" country="Democratic Republic of the Congo" state="Kinshasa" iso3166_2=CD-KN lat=-4.4419 lon=15.2663
[2026-04-18 14:50:56.466] [info] brewery_name_en="La Roue du Congo"
[2026-04-18 14:50:56.466] [info] brewery_description_en="The humid air always carries the scent of charcoal smoke mixed with ripe mangoes, a smell we've come to associate with the steady, relentless hum of the city. Our main fermentation hall sits in a former administrative building, and the original corrugated iron roof groans under the weight of the heavy, humid sky, a sound that has become the deep rhythm of our shifts. Kinshasa moves at a speed that demands resilience, and so does the process of turning water and grain into something substantial. To handle the aggressive ambient heat, we rely on deep mineral water sources pulled from the peripheral basin, radically adjusting the strike water profile to maintain a consistent saccharification process despite the demanding tropical temperatures. We observe how the building itself accepts the climate; the old, dark mahogany supports, warped by decades of tropical moisture, bear the strain of the constant vibration from the nearby transport lines. Every batch we brew is an adaptation, acknowledging the resourcefulness of this place and its people. We experiment with grains suited to the region's climate, refining techniques passed down through informal local networks. Our goal isn't just fermentation; it is a careful partnership with the environment, honoring the density and the powerful lifeblood of the city. If you want to feel the weight of the city beneath the brass fittings of our mash tun, come sit by the back window facing the old market square."
[2026-04-18 14:50:56.466] [info] brewery_name_local="La Roue du Congo"
[2026-04-18 14:50:56.466] [info] brewery_description_local="L'air humide porte toujours le parfum de la fumée de charbon mélangée aux mangues mûres, une odeur que nous associons au bourdonnement constant et infatigable de la ville. Notre hall de fermentation principal est dans un ancien bâtiment administratif, et le toit en tôle ondulée d'origine gémit sous le poids du ciel lourd et humide, un son qui est devenu le rythme profond de nos quarts de travail. Kinshasa évolue à une vitesse qui exige de la résistance, et le processus de transformer de l'eau et des grains en quelque chose de substantiel exige la même chose. Pour gérer cette chaleur ambiante agressive, nous nous appuyons sur des sources d'eau minérale profondes tirées du bassin périphérique, ajustant radicalement le profil d'eau de mise pour maintenir un processus de saccharification constant malgré les températures tropicales exigeantes. Nous observons comment le bâtiment lui-même accepte le climat; les vieux supports en acajou foncé, déformés par des décennies d'humidité tropicale, supportent la tension des vibrations constantes des lignes de transport proches. Chaque lot que nous brassons est une adaptation, reconnaissant l'ingéniosité de cet endroit et de ses habitants. Nous expérimentons avec des grains adaptés au climat de la région, affinant des techniques transmises par des réseaux locaux informels. Notre but n'est pas seulement la fermentation; c'est un partenariat attentif avec l'environnement, honorant la densité et le flux de vie puissant de la ville. Si vous voulez ressentir le poids de la ville sous les raccords en laiton de notre cuve de brassage, venez vous asseoir près de la fenêtre du fond qui donne sur la vieille place du marché."
[2026-04-18 14:50:56.466] [info] 2. city="Paris" country="France" state="Île-de-France" iso3166_2=FR-IDF lat=48.8566 lon=2.3522
[2026-04-18 14:50:56.466] [info] brewery_name_en="La Brasserie de l'Atelier Urbain"
[2026-04-18 14:50:56.466] [info] brewery_description_en="The perpetual smell of rain hitting the ancient cobblestones, followed by the sharp, metallic scent of the Métro rushing beneath us, is what always wakes us up. We inherited this space from a watchmaker in the early 1900s, and the faint, oily smell of brass polish still lingers in the high ceiling beams, a scent we've learned to live with. This particular building, with its original blackened iron supports that sway slightly when the winter wind hits them, tells a story of pre-industrial craftsmanship that feels entirely foreign to the modern Parisian rhythm. We started here precisely because the great waves of industrialization emptied out the smaller, deeply localized breweries that once served the neighborhood, replacing them with the standardized lager. Our dedication is to that lost method. Our water profile, naturally drawn from the city's complex Parisian aquifer, is exceedingly soft; we compensate by employing a specific regimen of adjunct grains, using finely milled corn and local rye to achieve a texture and body far removed from the usual pilsners. Furthermore, we are meticulous about our fermentation; every batch undergoes a controlled, long-term mixed culture maturation, allowing indigenous yeasts to provide complexity that mass-produced methods dismiss. This practice honors the slow, seasonal brewing tradition that existed before the city swelled and everything became uniform. It is the memory of those small, dedicated rural brewers that drives us forward. We believe that complexity is not a trend, it is necessity. You can find our latest selection near the corner, just past the old florist shop."
[2026-04-18 14:50:56.466] [info] brewery_name_local="La Brasserie de l'Atelier Urbain"
[2026-04-18 14:50:56.466] [info] brewery_description_local="L'odeur perpétuelle de la pluie frappant les pavés anciens, suivie du parfum métallique aigu du Métro qui nous passe en dessous, c'est ce qui nous réveille toujours. Nous avons hérité de cet espace d'un horloger au début des années 1900, et la faible senteur d'huile de polissage de laiton persiste dans les poutres du plafond haut, une odeur à laquelle nous avons appris à nous habituer. Ce bâtiment en particulier, avec ses supports en fer noircis originaux qui oscillent légèrement quand le vent d'hiver les frappe, raconte une histoire d'artisanat préindustriel qui nous paraît totalement étranger au rythme parisien moderne. Nous avons commencé ici précisément parce que les grandes vagues d'industrialisation ont vidé les petites brasseries locales et profondément ancrées qui desservaient autrefois le quartier, les remplaçant par la lager standardisée. Notre engagement est envers cette méthode disparue. Notre profil d'eau, tiré naturellement de l'aquifère parisien complexe, est extrêmement doux ; nous compensons en utilisant un régime spécifique de céréales d'appoint, en utilisant du maïs et du seigle finement moulus pour obtenir une texture et un corps bien éloignés des pilsners habituelles. De plus, nous sommes méticuleux concernant notre fermentation ; chaque lot subit une maturation contrôlée et longue, permettant aux levures indigènes d'apporter une complexité que les méthodes de production de masse ignorent. Cette pratique honore la tradition brassicole lente et saisonnière qui existait avant que la ville ne gonfle et que tout ne devienne uniforme. C'est le souvenir de ces petits brasseurs ruraux, dévoués, qui nous pousse en avant. Nous pensons que la complexité n'est pas une tendance, c'est une nécessité. Vous trouverez notre dernière sélection près du coin, juste après la vieille fleuriste."
[2026-04-18 14:50:56.466] [info] 3. city="Abidjan" country="Ivory Coast" state="Abidjan" iso3166_2=CI-AB lat=5.36 lon=-4.0083
[2026-04-18 14:50:56.466] [info] brewery_name_en="Le Ruisseau du Plateau"
[2026-04-18 14:50:56.466] [info] brewery_description_en="The persistent, humid scent of salt mixed with dust and diesel always catches us when we step out onto the main square. That scent is the breath of Abidjan, and it is the smell of our craft. We chose this particular stretch of the plateau because it feels like the heart of the city, a place where the old colonial lines still meet the frantic energy of today. Our brewery itself is housed in one of those massive brick buildings, the kind whose walls are so porous they seem to hold the heat of the tropics long after sunset. Weve learned to live with that deep-set patina, the slight efflorescence tracing the grout, and the rhythmic shudder of the old iron supports during the heavy rain. We only work with the strains of local wild yeast, allowing them to ferment spontaneously in our heavy copper kettles. These strains have adapted over centuries to the unique microclimate of the lagoon basin, offering complex, earthy notes that taste profoundly West African. Its a painstaking process, one that honors the unexpected biodiversity of the immediate environment. Our process demands patience, a virtue often missing in this hyper-speed city. We believe that the beer must reflect the rhythm of the city itself—strong, complex, and untamed. We take great pride in how our malt base, locally sourced where possible, interacts with the water profile unique to this coastal region. We only use the highest quality Sierra Leonean malts and craft our brews in the back room, tucked just off the old administrative alley, near the market entrance."
[2026-04-18 14:50:56.466] [info] brewery_name_local="Le Ruisseau du Plateau"
[2026-04-18 14:50:56.466] [info] brewery_description_local="La senteur tenace et humide du sel mélangée à la poussière et au diesel nous frappe toujours lorsque nous sortons sur la place principale. Cette odeur est le souffle d'Abidjan, et c'est l'odeur de notre artisanat. Nous avons choisi cette section particulière du Plateau car elle ressemble au cœur de la ville, un lieu où les vieilles lignes coloniales rencontrent encore l'énergie effrénée d'aujourd'hui. Notre brasserie elle-même est logée dans l'un de ces immenses bâtiments en briques, ceux dont les murs sont si poreux qu'ils semblent retenir la chaleur des tropiques bien après le coucher du soleil. Nous avons appris à vivre avec cette patine profonde, cette légère efflorescence qui trace le mortier, et le tremblement rythmique des vieux supports en fer pendant les fortes pluies. Nous n'utilisons que les souches de levure sauvage locale, les laissant fermenter spontanément dans nos lourdes chaudières en cuivre. Ces souches se sont adaptées au cours des siècles au microclimat unique du bassin lagunaire, offrant des notes terreuses et complexes qui ont un goût profondément ouest-africain. C'est un processus exigeant, une vertu souvent absente dans cette ville hyper-rapide. Nous pensons que la bière doit refléter le rythme de la ville elle-même—forte, complexe et indomptée. Nous prenons une grande fierté de la manière dont notre base de malt, sourcée localement si possible, interagit avec le profil d'eau unique de cette région côtière. Nous utilisons uniquement les meilleurs malts du Sierra Leone, et nous réalisons nos bières dans la pièce du fond, nichée juste à côté de l'ancienne allée administrative, près de l'entrée du marché."
[2026-04-18 14:50:56.466] [info] 4. city="Montreal" country="Canada" state="Quebec" iso3166_2=CA-QC lat=45.5017 lon=-73.5673
[2026-04-18 14:50:56.466] [info] brewery_name_en="Les Piliers du Grand Fleuve"
[2026-04-18 14:50:56.466] [info] brewery_description_en="There is always the smell of damp granite and fallen maple leaves hanging in the air, especially when the wind whips down from the river and settles into the old stone courtyard. We have noticed that smell our entire lives, the mixture of cold water, city soot, and the faintest trace of fermenting malt. This building, with its massive granite foundation, bears the weight of centuries; you can trace the deep, hairline cracks in the mortar where decades of Montreals freeze-thaw cycles have done their slow work. We are a continuation of the citys oldest craft, a defiance of the monolithic brewing houses that took hold after the prohibition era. Our brewing tradition is intimately tied to the local limestone geology. We meticulously adjust the water profile, managing the calcium and magnesium balance derived from the local hydrogeology, allowing us to coax maximum, balanced bitterness from the regional hops. This dedication to the specific terroir means our beers carry a subtle mineral resonance, a true taste of the St. Lawrences watershed. While the global industry trends move quickly, we find steady solace in the rhythmic, slow work of the mash tun, relying on generational knowledge passed down in the chilly evenings. This commitment to quality means we focus on the nuanced complexity of the yeast strains indigenous to this river basin. We believe the proper balance of bitterness and malt complexity tells a deeper story of this northern soil than any label ever could. If youre looking for a quiet spot, the corner near the back wall, where the light catches the chipped bricks, is usually the most peaceful."
[2026-04-18 14:50:56.466] [info] brewery_name_local="Les Piliers du Grand Fleuve"
[2026-04-18 14:50:56.466] [info] brewery_description_local="Il y a toujours l'odeur de granit humide et de feuilles d'érable tombées qui flotte dans l'air, surtout quand le vent descend du fleuve et s'installe dans la vieille cour de pierre. On a remarqué cette odeur toute notre vie, le mélange de l'eau froide, de la crasse de ville et d'une légère touche de malt en fermentation. Ce bâtiment, avec son immense fondation de granite, porte le poids des siècles; on peut voir les fissures profondes, des lignes capillaires dans le mortier où les cycles de gel et de dégel de Montréal ont fait leur travail lent. Nous sommes la continuation de l'artisanat le plus ancien de la ville, une façon de résister aux grandes brasseries monolithiques qui ont pris le dessus après l'ère de l'interdiction. Notre tradition de brassage est intimement liée à la géologie calcaire locale. Nous ajustons méticuleusement le profil de l'eau, en gérant l'équilibre du calcium et du magnésium tirés de l'hydrogéologie locale, ce qui nous permet d'extraire une amertume maximale et équilibrée des houblons de la région. Ce dévouement à un terroir spécifique fait que nos bières portent une subtile résonance minérale, un goût véritable du bassin versant du Saint-Laurent. Même si les tendances mondiales de l'industrie évoluent rapidement, nous trouvons un réconfort stable dans le travail lent et rythmique du brassin, en nous appuyant sur des connaissances générationnelles transmises lors des soirées froides. Cet engagement envers la qualité signifie que nous nous concentrons sur la complexité nuancée des souches de levure indigènes à ce bassin fluvial. Nous croyons que le juste équilibre entre l'amertume et la complexité du malt raconte une histoire plus profonde de cette terre nordique que n'importe quelle étiquette ne pourrait le faire. Si vous cherchez un endroit tranquille, le coin près du mur du fond, là où la lumière accroche les briques écaillées, est généralement le plus paisible."
[2026-04-18 14:50:56.466] [info] 5. city="Brussels" country="Belgium" state="Brussels-Capital Region" iso3166_2=BE-BRU lat=50.8503 lon=4.3517
[2026-04-18 14:50:56.466] [info] brewery_name_en="Le Moulin de Zythos"
[2026-04-18 14:50:56.466] [info] brewery_description_en="The way the humid Brussels air settles on the worn cobblestones, carrying the faint, metallic tang of rainwater and distant charcoal, is the first thing we notice every spring morning. Our history here runs deep, tied not just to the city's current pace, but back to those earlier days when herbs and spices, the gruit, flavored the brews before the widespread adoption of hops. We honor that ancient Belgian patience in our cellars. Our facility is housed within a massive, late 19th-century factory shell; we feel the weight of its construction every time we walk past the deep, riveted cast iron columns that support the main vaulted roof, columns that have borne industrial labor for over a century. Our focus is on radical yet historical profiles. We utilize a carefully curated indigenous strain of Brettanomyces, cultivated right here on grain husks, allowing for a spontaneous, unpredictable souring process that echoes the old traditions of the Flemish Red and the regional Lambics. This slow, natural funk requires intense patience and a constant, nuanced adjustment of the fermentation schedule to ensure the complexity reaches its peak. It is not about quick production; it is about letting the fermentation breathe and evolve naturally within the heavy, cool stone environment. Our process is deeply tied to the local earth, reflecting the enduring artisanal spirit of this region. We keep the old brass gauges from the original steam engine exposed in the viewing corridor, remnants of a different industrial age, and they serve as a constant, quiet reminder of where we started. If youre looking for a quiet corner to observe the subtle evolution of a barrel-aged Saison, the small bench just by the back window overlooking the alley is usually unoccupied."
[2026-04-18 14:50:56.466] [info] brewery_name_local="Le Moulin de Zythos"
[2026-04-18 14:50:56.466] [info] brewery_description_local="La façon dont l'air humide de Bruxelles se pose sur les pavés usés, portant cette saveur métallique légère de pluie et de charbon lointain, c'est la première chose que nous remarquons chaque matin de printemps. Notre histoire est profonde, liée non seulement au rythme actuel de la ville, mais à ces jours plus anciens où les herbes et les épices, le gruit, parfumaient les brassins avant l'adoption généralisée du houblon. Nous honorons cette ancienne patience belge dans nos caves. Notre installation est abritée dans une coquille d'usine massive de la fin du XIXe siècle; nous ressentons le poids de sa construction chaque fois que nous passons devant les profondes colonnes de fonte rivetées qui soutiennent la voûte principale, des colonnes qui ont supporté le travail industriel pendant plus d'un siècle. Notre objectif est d'obtenir des profils radicaux mais historiques. Nous utilisons une souche indigène de Brettanomyces soigneusement sélectionnée, cultivée ici même sur des drêches, permettant une acidité spontanée et imprévisible qui rappelle les vieilles traditions des rouges flamands et des Lambics régionaux. Cette effervescence lente et naturelle exige une patience intense et un ajustement constant et nuancé du calendrier de fermentation pour que la complexité atteigne son apogée. Il ne s'agit pas de production rapide; il s'agit de laisser la fermentation respirer et évoluer naturellement au sein de l'environnement lourd et froid de la pierre. Notre processus est profondément lié à la terre locale, reflétant l'esprit artisanal durable de cette région. Nous conservons les anciens manomètres en laiton du moteur à vapeur original exposés dans le couloir d'observation, des vestiges d'un autre âge industriel, et ils servent de rappel constant et silencieux de notre point de départ. Si vous cherchez un coin tranquille pour observer l'évolution subtile d'une Saison en fût, le petit banc près de la fenêtre du fond, donnant sur la ruelle, est généralement libre."
[2026-04-18 14:50:56.467] [info] Pipeline executed successfully

View File

@@ -1,7 +1,6 @@
# Testing
This document describes the testing strategy and how to run tests for The
Biergarten App.
This document describes the testing strategy and how to run tests for The Biergarten App.
## Overview
@@ -10,15 +9,13 @@ The project uses a multi-layered testing approach across backend and frontend:
- **API.Specs** - BDD integration tests using Reqnroll (Gherkin)
- **Infrastructure.Repository.Tests** - Unit tests for data access layer
- **Service.Auth.Tests** - Unit tests for authentication business logic
- **Storybook Vitest project** - Browser-based interaction tests for shared
website stories
- **Storybook Playwright suite** - Browser checks against Storybook-rendered
components
- **Storybook Vitest project** - Browser-based interaction tests for shared website stories
- **Storybook Playwright suite** - Browser checks against Storybook-rendered components
## Running Tests with Docker (Recommended)
The easiest way to run all tests is using Docker Compose, which sets up an
isolated test environment:
The easiest way to run all tests is using Docker Compose, which sets up an isolated test
environment:
```bash
docker compose -f docker-compose.test.yaml up --abort-on-container-exit
@@ -101,8 +98,7 @@ npm run test:storybook
**Purpose**:
- Verifies shared stories such as form fields, submit buttons, navbar states,
toasts, and the theme gallery
- Verifies shared stories such as form fields, submit buttons, navbar states, toasts, and the theme gallery
- Runs in browser mode via Vitest and Storybook integration
### Frontend Playwright Storybook Tests
@@ -117,8 +113,7 @@ npm run test:storybook:playwright
- Storybook dependencies installed
- Playwright browser dependencies installed
- The command will start or reuse the Storybook server defined in
`playwright.storybook.config.ts`
- The command will start or reuse the Storybook server defined in `playwright.storybook.config.ts`
## Test Coverage
@@ -283,8 +278,7 @@ Scenario: User login with valid credentials
## Continuous Integration
Tests run automatically in CI/CD pipelines using the test Docker Compose
configuration:
Tests run automatically in CI/CD pipelines using the test Docker Compose configuration:
```bash
# CI/CD command
@@ -298,8 +292,7 @@ Exit codes:
- `0` - All tests passed
- Non-zero - Test failures occurred
Frontend UI checks should also be included in CI for the active website
workspace:
Frontend UI checks should also be included in CI for the active website workspace:
```bash
cd src/Website

View File

@@ -2,14 +2,11 @@
## Overview
The Core project implements comprehensive JWT token validation across three
token types:
The Core project implements comprehensive JWT token validation across three token types:
- **Access Tokens**: Short-lived (1 hour) tokens for API authentication
- **Refresh Tokens**: Long-lived (21 days) tokens for obtaining new access
tokens
- **Confirmation Tokens**: Short-lived (30 minutes) tokens for email
confirmation
- **Refresh Tokens**: Long-lived (21 days) tokens for obtaining new access tokens
- **Confirmation Tokens**: Short-lived (30 minutes) tokens for email confirmation
## Components
@@ -20,13 +17,10 @@ token types:
Low-level JWT operations.
**Methods:**
- `GenerateJwt()` - Creates signed JWT tokens
- `ValidateJwtAsync()` - Validates token signature, expiration, and format
**Implementation:**
[JwtInfrastructure.cs](Infrastructure.Jwt/JwtInfrastructure.cs)
**Implementation:** [JwtInfrastructure.cs](Infrastructure.Jwt/JwtInfrastructure.cs)
- Uses Microsoft.IdentityModel.JsonWebTokens.JsonWebTokenHandler
- Algorithm: HS256 (HMAC-SHA256)
- Validates token lifetime, signature, and well-formedness
@@ -38,20 +32,16 @@ Low-level JWT operations.
High-level token validation with context (token type, user extraction).
**Methods:**
- `ValidateAccessTokenAsync(string token)` - Validates access tokens
- `ValidateRefreshTokenAsync(string token)` - Validates refresh tokens
- `ValidateConfirmationTokenAsync(string token)` - Validates confirmation tokens
**Returns:** `ValidatedToken` record containing:
- `UserId` (Guid)
- `Username` (string)
- `Principal` (ClaimsPrincipal) - Full JWT claims
**Implementation:**
[TokenValidationService.cs](Service.Auth/TokenValidationService.cs)
**Implementation:** [TokenValidationService.cs](Service.Auth/TokenValidationService.cs)
- Reads token secrets from environment variables
- Extracts and validates claims (Sub, UniqueName)
- Throws `UnauthorizedException` on validation failure
@@ -61,18 +51,15 @@ High-level token validation with context (token type, user extraction).
Token generation (existing service extended).
**Methods:**
- `GenerateAccessToken(UserAccount)` - Creates 1-hour access token
- `GenerateRefreshToken(UserAccount)` - Creates 21-day refresh token
- `GenerateConfirmationToken(UserAccount)` - Creates 30-minute confirmation
token
- `GenerateConfirmationToken(UserAccount)` - Creates 30-minute confirmation token
### Integration Points
#### [ConfirmationService](Service.Auth/IConfirmationService.cs)
**Flow:**
1. Receives confirmation token from user
2. Calls `TokenValidationService.ValidateConfirmationTokenAsync()`
3. Extracts user ID from validated token
@@ -82,7 +69,6 @@ Token generation (existing service extended).
#### [RefreshTokenService](Service.Auth/RefreshTokenService.cs)
**Flow:**
1. Receives refresh token from user
2. Calls `TokenValidationService.ValidateRefreshTokenAsync()`
3. Retrieves user account via `AuthRepository.GetUserByIdAsync()`
@@ -92,7 +78,6 @@ Token generation (existing service extended).
#### [AuthController](API.Core/Controllers/AuthController.cs)
**Endpoints:**
- `POST /api/auth/register` - Register new user
- `POST /api/auth/login` - Authenticate user
- `POST /api/auth/confirm?token=...` - Confirm email
@@ -103,13 +88,11 @@ Token generation (existing service extended).
### Token Secrets
Three independent secrets enable:
- **Key rotation** - Rotate each secret type independently
- **Isolation** - Compromise of one secret doesn't affect others
- **Different expiration** - Different token types can expire at different rates
**Environment Variables:**
```bash
ACCESS_TOKEN_SECRET=... # Signs 1-hour access tokens
REFRESH_TOKEN_SECRET=... # Signs 21-day refresh tokens
@@ -128,7 +111,6 @@ Each token is validated for:
### Error Handling
Validation failures return HTTP 401 Unauthorized:
- Invalid signature → "Invalid token"
- Expired token → "Invalid token" (message doesn't reveal reason for security)
- Missing claims → "Invalid token"
@@ -167,19 +149,16 @@ Validation failures return HTTP 401 Unauthorized:
### Unit Tests
**TokenValidationService.test.cs**
- Happy path: Valid token extraction
- Error cases: Invalid, expired, malformed tokens
- Missing/invalid claims scenarios
**RefreshTokenService.test.cs**
- Successful refresh with valid token
- Invalid/expired refresh token rejection
- Non-existent user handling
**ConfirmationService.test.cs**
- Successful confirmation with valid token
- Token validation failures
- User not found scenarios
@@ -187,19 +166,16 @@ Validation failures return HTTP 401 Unauthorized:
### BDD Tests (Reqnroll)
**TokenRefresh.feature**
- Successful token refresh
- Invalid/expired token rejection
- Missing token validation
**Confirmation.feature**
- Successful email confirmation
- Expired/tampered token rejection
- Missing token validation
**AccessTokenValidation.feature**
- Protected endpoint access token validation
- Invalid/expired access token rejection
- Token type mismatch (refresh used as access token)

2411
misc/raw-data/beers.csv Normal file

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misc/raw-data/breweries.csv Normal file
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@@ -0,0 +1,559 @@
,name,city,state
0,NorthGate Brewing ,Minneapolis, MN
1,Against the Grain Brewery,Louisville, KY
2,Jack's Abby Craft Lagers,Framingham, MA
3,Mike Hess Brewing Company,San Diego, CA
4,Fort Point Beer Company,San Francisco, CA
5,COAST Brewing Company,Charleston, SC
6,Great Divide Brewing Company,Denver, CO
7,Tapistry Brewing,Bridgman, MI
8,Big Lake Brewing,Holland, MI
9,The Mitten Brewing Company,Grand Rapids, MI
10,Brewery Vivant,Grand Rapids, MI
11,Petoskey Brewing,Petoskey, MI
12,Blackrocks Brewery,Marquette, MI
13,Perrin Brewing Company,Comstock Park, MI
14,Witch's Hat Brewing Company,South Lyon, MI
15,Founders Brewing Company,Grand Rapids, MI
16,Flat 12 Bierwerks,Indianapolis, IN
17,Tin Man Brewing Company,Evansville, IN
18,Black Acre Brewing Co.,Indianapolis, IN
19,Brew Link Brewing,Plainfield, IN
20,Bare Hands Brewery,Granger, IN
21,Three Pints Brewing,Martinsville, IN
22,Four Fathers Brewing ,Valparaiso, IN
23,Indiana City Brewing,Indianapolis, IN
24,Burn 'Em Brewing,Michigan City, IN
25,Sun King Brewing Company,Indianapolis, IN
26,Evil Czech Brewery,Mishawaka, IN
27,450 North Brewing Company,Columbus, IN
28,Taxman Brewing Company,Bargersville, IN
29,Cedar Creek Brewery,Seven Points, TX
30,SanTan Brewing Company,Chandler, AZ
31,Boulevard Brewing Company,Kansas City, MO
32,James Page Brewing Company,Stevens Point, WI
33,The Dudes' Brewing Company,Torrance, CA
34,Ballast Point Brewing Company,San Diego, CA
35,Anchor Brewing Company,San Francisco, CA
36,Figueroa Mountain Brewing Company,Buellton, CA
37,Avery Brewing Company,Boulder, CO
38,Twisted X Brewing Company,Dripping Springs, TX
39,Gonzo's BiggDogg Brewing,Kalamazoo, MI
40,Big Muddy Brewing,Murphysboro, IL
41,Lost Nation Brewing,East Fairfield, VT
42,Rising Tide Brewing Company,Portland, ME
43,Rivertowne Brewing Company,Export, PA
44,Revolution Brewing Company,Chicago, IL
45,Tallgrass Brewing Company,Manhattan, KS
46,Sixpoint Craft Ales,Brooklyn, NY
47,White Birch Brewing,Hooksett, NH
48,Firestone Walker Brewing Company,Paso Robles, CA
49,SweetWater Brewing Company,Atlanta, GA
50,Flying Mouse Brewery,Troutville, VA
51,Upslope Brewing Company,Boulder, CO
52,Pipeworks Brewing Company,Chicago, IL
53,Bent Brewstillery,Roseville, MN
54,Flesk Brewing Company,Lombard, IL
55,Pollyanna Brewing Company,Lemont, IL
56,BuckleDown Brewing,Lyons, IL
57,Destihl Brewery,Bloomington, IL
58,Summit Brewing Company,St. Paul, MN
59,Latitude 42 Brewing Company,Portage, MI
60,4 Hands Brewing Company,Saint Louis, MO
61,Surly Brewing Company,Brooklyn Center, MN
62,Against The Grain Brewery,Louisville, KY
63,Crazy Mountain Brewing Company,Edwards, CO
64,SlapShot Brewing Company,Chicago, IL
65,Mikerphone Brewing,Chicago, IL
66,Freetail Brewing Company,San Antonio, TX
67,3 Daughters Brewing,St Petersburg, FL
68,Red Shedman Farm Brewery and Hop...,Mt. Airy, MD
69,Appalachian Mountain Brewery,Boone, NC
70,Birdsong Brewing Company,Charlotte, NC
71,Union Craft Brewing,Baltimore, MD
72,Atwater Brewery,Detroit, MI
73,Ale Asylum,Madison, WI
74,Two Brothers Brewing Company,Warrenville, IL
75,Bent Paddle Brewing Company,Duluth, MN
76,Bell's Brewery,Kalamazoo, MI
77,Blue Owl Brewing,Austin, TX
78,Speakasy Ales & Lagers,San Francisco, CA
79,Black Tooth Brewing Company,Sheridan, WY
80,Hopworks Urban Brewery,Portland, OR
81,Epic Brewing,Denver, CO
82,New Belgium Brewing Company,Fort Collins, CO
83,Sierra Nevada Brewing Company,Chico, CA
84,Keweenaw Brewing Company,Houghton, MI
85,Brewery Terra Firma,Traverse City, MI
86,Grey Sail Brewing Company,Westerly, RI
87,Kirkwood Station Brewing Company,Kirkwood, MO
88,Goose Island Brewing Company,Chicago, IL
89,Broad Brook Brewing LLC,East Windsor, CT
90,The Lion Brewery,Wilkes-Barre, PA
91,Madtree Brewing Company,Cincinnati, OH
92,Jackie O's Pub & Brewery,Athens, OH
93,Rhinegeist Brewery,Cincinnati, OH
94,Warped Wing Brewing Company,Dayton, OH
95,Blackrocks Brewery,Marquette, MA
96,Catawba Valley Brewing Company,Morganton, NC
97,Tröegs Brewing Company,Hershey, PA
98,Mission Brewery,San Diego, CA
99,Christian Moerlein Brewing Company,Cincinnati, OH
100,West Sixth Brewing,Lexington, KY
101,Coastal Extreme Brewing Company,Newport, RI
102,King Street Brewing Company,Anchorage, AK
103,Beer Works Brewery,Lowell, MA
104,Lone Tree Brewing Company,Lone Tree, CO
105,Four String Brewing Company,Columbus, OH
106,Glabrous Brewing Company,Pineland, ME
107,Bonfire Brewing Company,Eagle, CO
108,Thomas Hooker Brewing Company,Bloomfield, CT
109,"Woodstock Inn, Station & Brewery",North Woodstock, NH
110,Renegade Brewing Company,Denver, CO
111,Mother Earth Brew Company,Vista, CA
112,Black Market Brewing Company,Temecula, CA
113,Vault Brewing Company,Yardley, PA
114,Jailbreak Brewing Company,Laurel, MD
115,Smartmouth Brewing Company,Norfolk, VA
116,Base Camp Brewing Co.,Portland, OR
117,Alameda Brewing,Portland, OR
118,Southern Star Brewing Company,Conroe, TX
119,Steamworks Brewing Company,Durango, CO
120,Horny Goat Brew Pub,Milwaukee, WI
121,Cheboygan Brewing Company,Cheboygan, MI
122,Center of the Universe Brewing C...,Ashland, VA
123,Ipswich Ale Brewery,Ipswich, MA
124,Griffin Claw Brewing Company,Birmingham, MI
125,Karbach Brewing Company,Houston, TX
126,Uncle Billy's Brewery and Smokeh...,Austin, TX
127,Deep Ellum Brewing Company,Dallas, TX
128,Real Ale Brewing Company,Blanco, TX
129,Straub Brewery,St Mary's, PA
130,Shebeen Brewing Company,Wolcott, CT
131,Stevens Point Brewery,Stevens Point, WI
132,Weston Brewing Company,Weston, MO
133,Southern Prohibition Brewing Com...,Hattiesburg, MS
134,Minhas Craft Brewery,Monroe, WI
135,Pug Ryan's Brewery,Dillon, CO
136,Hops & Grains Brewing Company,Austin, TX
137,Sietsema Orchards and Cider Mill,Ada, MI
138,Summit Brewing Company,St Paul, MN
139,Core Brewing & Distilling Company,Springdale, AR
140,Independence Brewing Company,Austin, TX
141,Cigar City Brewing Company,Tampa, FL
142,Third Street Brewhouse,Cold Spring, MN
143,Narragansett Brewing Company,Providence, RI
144,Grimm Brothers Brewhouse,Loveland, CO
145,Cisco Brewers,Nantucket, MA
146,Angry Minnow,Hayward, WI
147,Platform Beer Company,Cleveland, OH
148,Odyssey Beerwerks,Arvada, CO
149,Lonerider Brewing Company,Raleigh, NC
150,Oakshire Brewing,Eugene, OR
151,Fort Pitt Brewing Company,Latrobe, PA
152,Tin Roof Brewing Company,Baton Rouge, LA
153,Three Creeks Brewing,Sisters, OR
154,2 Towns Ciderhouse,Corvallis, OR
155,Caldera Brewing Company,Ashland, OR
156,Greenbrier Valley Brewing Company,Lewisburg, WV
157,Phoenix Ale Brewery,Phoenix, AZ
158,Lumberyard Brewing Company,Flagstaff, AZ
159,Uinta Brewing Company,Salt Lake City, UT
160,Four Peaks Brewing Company,Tempe, AZ
161,Martin House Brewing Company,Fort Worth, TX
162,Right Brain Brewery,Traverse City, MI
163,Sly Fox Brewing Company,Phoenixville, PA
164,Round Guys Brewing,Lansdale, PA
165,Great Crescent Brewery,Aurora, IN
166,Oskar Blues Brewery,Longmont, CO
167,Boxcar Brewing Company,West Chester, PA
168,High Hops Brewery,Windsor, CO
169,Crooked Fence Brewing Company,Garden City, ID
170,Everybody's Brewing,White Salmon, WA
171,Anderson Valley Brewing Company,Boonville, CA
172,Fiddlehead Brewing Company,Shelburne, VT
173,Evil Twin Brewing,Brooklyn, NY
174,New Orleans Lager & Ale Brewing ...,New Orleans, LA
175,Spiteful Brewing Company,Chicago, IL
176,Rahr & Sons Brewing Company,Fort Worth, TX
177,18th Street Brewery,Gary, IN
178,Cambridge Brewing Company,Cambridge, MA
179,Carolina Brewery,Pittsboro, NC
180,Frog Level Brewing Company,Waynesville, NC
181,Wild Wolf Brewing Company,Nellysford, VA
182,COOP Ale Works,Oklahoma City, OK
183,Seventh Son Brewing Company,Columbus, OH
184,Oasis Texas Brewing Company,Austin, TX
185,Vander Mill Ciders,Spring Lake, MI
186,St. Julian Winery,Paw Paw, MI
187,Pedernales Brewing Company,Fredericksburg, TX
188,Mother's Brewing,Springfield, MO
189,Modern Monks Brewery,Lincoln, NE
190,Two Beers Brewing Company,Seattle, WA
191,Snake River Brewing Company,Jackson, WY
192,Capital Brewery,Middleton, WI
193,Anthem Brewing Company,Oklahoma City, OK
194,Goodlife Brewing Co.,Bend, OR
195,Breakside Brewery,Portland, OR
196,Goose Island Brewery Company,Chicago, IL
197,Burnside Brewing Co.,Portland, OR
198,Hop Valley Brewing Company,Springfield, OR
199,Worthy Brewing Company,Bend, OR
200,Occidental Brewing Company,Portland, OR
201,Fearless Brewing Company,Estacada, OR
202,Upland Brewing Company,Bloomington, IN
203,Mehana Brewing Co.,Hilo, HI
204,Hawai'i Nui Brewing Co.,Hilo, HI
205,People's Brewing Company,Lafayette, IN
206,Fort George Brewery,Astoria, OR
207,Branchline Brewing Company,San Antonio, TX
208,Kalona Brewing Company,Kalona, IA
209,Modern Times Beer,San Diego, CA
210,Temperance Beer Company,Evanston, IL
211,Wisconsin Brewing Company,Verona, WI
212,Crow Peak Brewing Company,Spearfish, SD
213,Grapevine Craft Brewery,Farmers Branch, TX
214,Buffalo Bayou Brewing Company,Houston, TX
215,Texian Brewing Co.,Richmond, TX
216,Orpheus Brewing,Atlanta, GA
217,Forgotten Boardwalk,Cherry Hill, NJ
218,Laughing Dog Brewing Company,Ponderay, ID
219,Bozeman Brewing Company,Bozeman, MT
220,Big Choice Brewing,Broomfield, CO
221,Big Storm Brewing Company,Odessa, FL
222,Carton Brewing Company,Atlantic Highlands, NJ
223,Midnight Sun Brewing Company,Anchorage, AK
224,Fat Head's Brewery,Middleburg Heights, OH
225,Refuge Brewery,Temecula, CA
226,Chatham Brewing,Chatham, NY
227,DC Brau Brewing Company,Washington, DC
228,Geneva Lake Brewing Company,Lake Geneva, WI
229,Rochester Mills Brewing Company,Rochester, MI
230,Cape Ann Brewing Company,Gloucester, MA
231,Borderlands Brewing Company,Tucson, AZ
232,College Street Brewhouse and Pub,Lake Havasu City, AZ
233,Joseph James Brewing Company,Henderson, NV
234,Harpoon Brewery,Boston, MA
235,Back East Brewing Company,Bloomfield, CT
236,Champion Brewing Company,Charlottesville, VA
237,Devil's Backbone Brewing Company,Lexington, VA
238,Newburgh Brewing Company,Newburgh, NY
239,Wiseacre Brewing Company,Memphis, TN
240,Golden Road Brewing,Los Angeles, CA
241,New Republic Brewing Company,College Station, TX
242,Infamous Brewing Company,Austin, TX
243,Two Henrys Brewing Company,Plant City, FL
244,Lift Bridge Brewing Company,Stillwater, MN
245,Lucky Town Brewing Company,Jackson, MS
246,Quest Brewing Company,Greenville, SC
247,Creature Comforts,Athens, GA
248,Half Full Brewery,Stamford, CT
249,Southampton Publick House,Southampton, NY
250,Chapman's Brewing,Angola, IN
251,Barrio Brewing Company,Tucson, AZ
252,Santa Cruz Mountain Brewing,Santa Cruz, CA
253,Frankenmuth Brewery,Frankenmuth, MI
254,Meckley's Cidery,Somerset Center, MI
255,Stillwater Artisanal Ales,Baltimore, MD
256,Finch's Beer Company,Chicago, IL
257,South Austin Brewery,South Austin, TX
258,Bauhaus Brew Labs,Minneapolis, MN
259,Ozark Beer Company,Rogers, AR
260,Mountain Town Brewing Company ,Mount Pleasant, MI
261,Otter Creek Brewing,Waterbury, VT
262,The Brewer's Art,Baltimore, MD
263,Denver Beer Company,Denver, CO
264,Ska Brewing Company,Durango, CO
265,Tractor Brewing Company,Albuquerque, NM
266,Peak Organic Brewing Company,Portland, ME
267,Cape Cod Beer,Hyannis, MA
268,Long Trail Brewing Company,Bridgewater Corners, VT
269,Great Raft Brewing Company,Shreveport, LA
270,Alaskan Brewing Company,Juneau, AK
271,Notch Brewing Company,Ipswich, MA
272,The Alchemist,Waterbury, VT
273,Three Notch'd Brewing Company,Charlottesville, VA
274,Portside Brewery,Cleveland, OH
275,Otter Creek Brewing,Middlebury, VT
276,Montauk Brewing Company,Montauk, NY
277,Indeed Brewing Company,Minneapolis, MN
278,Berkshire Brewing Company,South Deerfield, MA
279,Foolproof Brewing Company,Pawtucket, RI
280,Headlands Brewing Company,Mill Valley, CA
281,Bolero Snort Brewery,Ridgefield Park, NJ
282,Thunderhead Brewing Company,Kearney, NE
283,Defiance Brewing Company,Hays, KS
284,Milwaukee Brewing Company,Milwaukee, WI
285,Catawba Island Brewing,Port Clinton, OH
286,Back Forty Beer Company,Gadsden, AL
287,Four Corners Brewing Company,Dallas, TX
288,Saint Archer Brewery,San Diego, CA
289,Rogue Ales,Newport, OR
290,Hale's Ales,Seattle, WA
291,Tommyknocker Brewery,Idaho Springs, CO
292,Baxter Brewing Company,Lewiston, ME
293,Northampton Brewery,Northamtpon, MA
294,Black Shirt Brewing Company,Denver, CO
295,Wachusett Brewing Company,Westminster, MA
296,Widmer Brothers Brewing Company,Portland, OR
297,Hop Farm Brewing Company,Pittsburgh, PA
298,Liquid Hero Brewery,York, PA
299,Matt Brewing Company,Utica, NY
300,Boston Beer Company,Boston, MA
301,Old Forge Brewing Company,Danville, PA
302,Utah Brewers Cooperative,Salt Lake City, UT
303,Magic Hat Brewing Company,South Burlington, VT
304,Blue Hills Brewery,Canton, MA
305,Night Shift Brewing,Everett, MA
306,Beach Brewing Company,Virginia Beach, VA
307,Payette Brewing Company,Garden City, ID
308,Brew Bus Brewing,Tampa, FL
309,Sockeye Brewing Company,Boise, ID
310,Pine Street Brewery,San Francisco, CA
311,Dirty Bucket Brewing Company,Woodinville, WA
312,Jackalope Brewing Company,Nashville, TN
313,Slanted Rock Brewing Company,Meridian, ID
314,Piney River Brewing Company,Bucryus, MO
315,Cutters Brewing Company,Avon, IN
316,Iron Hill Brewery & Restaurant,Wilmington, DE
317,Marshall Wharf Brewing Company,Belfast, ME
318,Banner Beer Company,Williamsburg, MA
319,Dick's Brewing Company,Centralia, WA
320,Claremont Craft Ales,Claremont, CA
321,Rivertown Brewing Company,Lockland, OH
322,Voodoo Brewery,Meadville, PA
323,D.L. Geary Brewing Company,Portland, ME
324,Pisgah Brewing Company,Black Mountain, NC
325,Neshaminy Creek Brewing Company,Croydon, PA
326,Morgan Street Brewery,Saint Louis, MO
327,Half Acre Beer Company,Chicago, IL
328,The Just Beer Project,Burlington, VT
329,The Bronx Brewery,Bronx, NY
330,Dead Armadillo Craft Brewing,Tulsa, OK
331,Catawba Brewing Company,Morganton, NC
332,La Cumbre Brewing Company,Albuquerque, NM
333,David's Ale Works,Diamond Springs, CA
334,The Traveler Beer Company,Burlington, VT
335,Fargo Brewing Company,Fargo, ND
336,Big Sky Brewing Company,Missoula, MT
337,Nebraska Brewing Company,Papillion, NE
338,Uncle John's Fruit House Winery,St. John's, MI
339,Wormtown Brewery,Worcester, MA
340,Due South Brewing Company,Boynton Beach, FL
341,Palisade Brewing Company,Palisade, CO
342,KelSo Beer Company,Brooklyn, NY
343,Hardywood Park Craft Brewery,Richmond, VA
344,Wolf Hills Brewing Company,Abingdon, VA
345,Lavery Brewing Company,Erie, PA
346,Manzanita Brewing Company,Santee, CA
347,Fullsteam Brewery,Durham, NC
348,Four Horsemen Brewing Company,South Bend, IN
349,Hinterland Brewery,Green Bay, WI
350,Central Coast Brewing Company,San Luis Obispo, CA
351,Westfield River Brewing Company,Westfield, MA
352,Elevator Brewing Company,Columbus, OH
353,Aslan Brewing Company,Bellingham, WA
354,Kulshan Brewery,Bellingham, WA
355,Pikes Peak Brewing Company,Monument, CO
356,Manayunk Brewing Company,Philadelphia, PA
357,Buckeye Brewing,Cleveland, OH
358,Daredevil Brewing Company,Shelbyville, IN
359,NoDa Brewing Company,Charlotte, NC
360,Aviator Brewing Company,Fuquay-Varina, NC
361,Wild Onion Brewing Company,Lake Barrington, IL
362,Hilliard's Beer,Seattle, WA
363,Mikkeller,Pottstown, PA
364,Bohemian Brewery,Midvale, UT
365,Great River Brewery,Davenport, IA
366,Mustang Brewing Company,Mustang, OK
367,Airways Brewing Company,Kent, WA
368,21st Amendment Brewery,San Francisco, CA
369,Eddyline Brewery & Restaurant,Buena Vista, CO
370,Pizza Port Brewing Company,Carlsbad, CA
371,Sly Fox Brewing Company,Pottstown, PA
372,Spring House Brewing Company,Conestoga, PA
373,7venth Sun,Dunedin, FL
374,Astoria Brewing Company,Astoria, OR
375,Maui Brewing Company,Lahaina, HI
376,RoughTail Brewing Company,Midwest City, OK
377,Lucette Brewing Company,Menominee, WI
378,Bold City Brewery,Jacksonville, FL
379,Grey Sail Brewing of Rhode Island,Westerly, RI
380,Blue Blood Brewing Company,Lincoln, NE
381,Swashbuckler Brewing Company,Manheim, PA
382,Blue Mountain Brewery,Afton, VA
383,Starr Hill Brewery,Crozet, VA
384,Westbrook Brewing Company,Mt. Pleasant, SC
385,Shipyard Brewing Company,Portland, ME
386,Revolution Brewing,Paonia, CO
387,Natian Brewery,Portland, OR
388,Alltech's Lexington Brewing Company,Lexington, KY
389,Oskar Blues Brewery (North Carol...,Brevard, NC
390,Orlison Brewing Company,Airway Heights, WA
391,Breckenridge Brewery,Denver, CO
392,Santa Fe Brewing Company,Santa Fe, NM
393,Miami Brewing Company,Miami, FL
394,Schilling & Company,Seattle, WA
395,Hops & Grain Brewery,Austin, TX
396,White Flame Brewing Company,Hudsonville, MI
397,Ruhstaller Beer Company,Sacramento, CA
398,Saugatuck Brewing Company,Douglas, MI
399,Moab Brewery,Moab, UT
400,Macon Beer Company,Macon, GA
401,Amnesia Brewing Company,Washougal, WA
402,Wolverine State Brewing Company,Ann Arbor, MI
403,Red Tank Cider Company,Bend, OR
404,Cascadia Ciderworks United,Portland, OR
405,Fate Brewing Company,Boulder, CO
406,Lazy Monk Brewing,Eau Claire, WI
407,Bitter Root Brewing,Hamilton, MT
408,10 Barrel Brewing Company,Bend, OR
409,Tamarack Brewing Company,Lakeside, MT
410,New England Brewing Company,Woodbridge, CT
411,Seattle Cider Company,Seattle, WA
412,Straight to Ale,Huntsville, AL
413,Austin Beerworks,Austin, TX
414,Blue Mountain Brewery,Arrington, VA
415,Coastal Empire Beer Company,Savannah, GA
416,Jack's Hard Cider (Hauser Estate...,Biglerville, PA
417,Boulder Beer Company,Boulder, CO
418,Coalition Brewing Company,Portland, OR
419,Sanitas Brewing Company,Boulder, CO
420,Gore Range Brewery,Edwards, CO
421,Redstone Meadery,Boulder, CO
422,Blue Dog Mead,Eugene, OR
423,Hess Brewing Company,San Diego, CA
424,Wynkoop Brewing Company,Denver, CO
425,Ciderboys,Stevens Point, WI
426,Armadillo Ale Works,Denton, TX
427,Roanoke Railhouse Brewery,Roanoke, VA
428,Schlafly Brewing Company,Saint Louis, MO
429,Asher Brewing Company,Boulder, CO
430,Lost Rhino Brewing Company,Ashburn, VA
431,North Country Brewing Company,Slippery Rock, PA
432,Seabright Brewery,Santa Cruz, CA
433,French Broad Brewery,Asheville, NC
434,Angry Orchard Cider Company,Cincinnati, OH
435,Two Roads Brewing Company,Stratford, CT
436,Southern Oregon Brewing Company,Medford, OR
437,Brooklyn Brewery,Brooklyn, NY
438,The Right Brain Brewery,Traverse City, MI
439,Kona Brewing Company,Kona, HI
440,MillKing It Productions,Royal Oak, MI
441,Pateros Creek Brewing Company,Fort Collins, CO
442,O'Fallon Brewery,O'Fallon, MO
443,Marble Brewery,Albuquerque, NM
444,Big Wood Brewery,Vadnais Heights, MN
445,Howard Brewing Company,Lenoir, NC
446,Downeast Cider House,Leominster, MA
447,Swamp Head Brewery,Gainesville, FL
448,Mavericks Beer Company,Half Moon Bay, CA
449,TailGate Beer,San Diego, CA
450,Northwest Brewing Company,Pacific, WA
451,Dad & Dude's Breweria,Aurora, CO
452,Centennial Beer Company,Edwards, CO
453,Denali Brewing Company,Talkeetna, AK
454,Deschutes Brewery,Bend, OR
455,Sunken City Brewing Company,Hardy, VA
456,Lucette Brewing Company,Menominie, WI
457,The Black Tooth Brewing Company,Sheridan, WY
458,Kenai River Brewing Company,Soldotna, AK
459,River North Brewery,Denver, CO
460,Fremont Brewing Company,Seattle, WA
461,Armstrong Brewing Company,South San Francisco, CA
462,AC Golden Brewing Company,Golden, CO
463,Big Bend Brewing Company,Alpine, TX
464,Good Life Brewing Company,Bend, OR
465,Engine 15 Brewing,Jacksonville Beach, FL
466,Green Room Brewing,Jacksonville, FL
467,Brindle Dog Brewing Company,Tampa Bay, FL
468,Peace Tree Brewing Company,Knoxville, IA
469,Terrapin Brewing Company,Athens, GA
470,Pete's Brewing Company,San Antonio, TX
471,Okoboji Brewing Company,Spirit Lake, IA
472,Crystal Springs Brewing Company,Boulder, CO
473,Engine House 9,Tacoma, WA
474,Tonka Beer Company,Minnetonka, MN
475,Red Hare Brewing Company,Marietta, GA
476,Hangar 24 Craft Brewery,Redlands, CA
477,Big Elm Brewing,Sheffield, MA
478,Good People Brewing Company,Birmingham, AL
479,Heavy Seas Beer,Halethorpe, MD
480,Telluride Brewing Company,Telluride, CO
481,7 Seas Brewing Company,Gig Harbor, WA
482,Confluence Brewing Company,Des Moines, IA
483,Bale Breaker Brewing Company,Yakima, WA
484,The Manhattan Brewing Company,New York, NY
485,MacTarnahans Brewing Company,Portland, OR
486,Stillmank Beer Company,Green Bay, WI
487,Redhook Brewery,Woodinville, WA
488,Dock Street Brewery,Philadelphia, PA
489,Blue Point Brewing Company,Patchogue, NY
490,Tampa Bay Brewing Company,Tampa, FL
491,Devil's Canyon Brewery,Belmont, CA
492,Stone Coast Brewing Company,Portland, ME
493,Broken Tooth Brewing Company,Anchorage, AK
494,Seven Brides Brewery,Silverton, OR
495,Newburyport Brewing Company,Newburyport, MA
496,Dry Dock Brewing Company,Aurora, CO
497,Cans Bar and Canteen,Charlotte, NC
498,Sprecher Brewing Company,Glendale, WI
499,Wildwood Brewing Company,Stevensville, MT
500,High Noon Saloon And Brewery,Leavenworth, KS
501,Woodchuck Hard Cider,Middlebury, VT
502,Sea Dog Brewing Company,Portland, ME
503,Oskar Blues Brewery,Lyons, CO
504,Carolina Beer & Beverage,Mooresville, NC
505,Krebs Brewing Company (Pete's Pl...,Krebs, OK
506,Warbird Brewing Company,Fort Wayne, IN
507,Mudshark Brewing Company,Lake Havasu City, AZ
508,Spilker Ales,Cortland, NE
509,Wingman Brewers,Tacoma, WA
510,Kettle House Brewing Company,Missoula, MT
511,Sherwood Forest Brewers,Marlborough, MA
512,Cottrell Brewing,Pawcatuck, CT
513,Arctic Craft Brewery,Colorado Springs, CO
514,Monkey Paw Pub & Brewery,San Diego, CA
515,Crabtree Brewing Company,Greeley, CO
516,Emerald City Beer Company,Seattle, WA
517,Butcher's Brewing,Carlsbad, CA
518,New South Brewing Company,Myrtle Beach, SC
519,Big River Brewing Company,Chattanooga, TN
520,Twisted Pine Brewing Company,Boulder, CO
521,Flying Dog Brewery,Frederick, MD
522,Uncommon Brewers,Santa Cruz, CA
523,Aspen Brewing Company,Aspen, CO
524,Triangle Brewing Company,Durham, NC
525,Bomb Beer Company,New York, NY
526,Churchkey Can Company,Seattle, WA
527,Intuition Ale Works,Jacksonville, FL
528,Asheville Brewing Company,Asheville, NC
529,Northwoods Brewpub,Eau Claire, WI
530,Buckbean Brewing Company,Reno, NV
531,Dolores River Brewery,Dolores, CO
532,Flat Rock Brewing Company,Smithton, PA
533,Abita Brewing Company,Abita Springs, LA
534,Mammoth Brewing Company,Mammoth Lakes, CA
535,Harvest Moon Brewing Company,Belt, MT
536,Grand Canyon Brewing Company,Williams, AZ
537,Lewis and Clark Brewing Company,Helena, MT
538,Dundee Brewing Company,Rochester, NY
539,Twin Lakes Brewing Company,Greenville, DE
540,Mother Earth Brewing Company,Kinston, NC
541,Arcadia Brewing Company,Battle Creek, MI
542,Angry Minnow Brewing Company,Hayward, WI
543,Great Northern Brewing Company,Whitefish, MT
544,Pyramid Breweries,Seattle, WA
545,Lancaster Brewing Company,Lancaster, PA
546,Upstate Brewing Company,Elmira, NY
547,Moat Mountain Smoke House & Brew...,North Conway, NH
548,Prescott Brewing Company,Prescott, AZ
549,Mogollon Brewing Company,Flagstaff, AZ
550,Wind River Brewing Company,Pinedale, WY
551,Silverton Brewery,Silverton, CO
552,Mickey Finn's Brewery,Libertyville, IL
553,Covington Brewhouse,Covington, LA
554,Dave's Brewfarm,Wilson, WI
555,Ukiah Brewing Company,Ukiah, CA
556,Butternuts Beer and Ale,Garrattsville, NY
557,Sleeping Lady Brewing Company,Anchorage, AK
1 name city state
2 0 NorthGate Brewing Minneapolis MN
3 1 Against the Grain Brewery Louisville KY
4 2 Jack's Abby Craft Lagers Framingham MA
5 3 Mike Hess Brewing Company San Diego CA
6 4 Fort Point Beer Company San Francisco CA
7 5 COAST Brewing Company Charleston SC
8 6 Great Divide Brewing Company Denver CO
9 7 Tapistry Brewing Bridgman MI
10 8 Big Lake Brewing Holland MI
11 9 The Mitten Brewing Company Grand Rapids MI
12 10 Brewery Vivant Grand Rapids MI
13 11 Petoskey Brewing Petoskey MI
14 12 Blackrocks Brewery Marquette MI
15 13 Perrin Brewing Company Comstock Park MI
16 14 Witch's Hat Brewing Company South Lyon MI
17 15 Founders Brewing Company Grand Rapids MI
18 16 Flat 12 Bierwerks Indianapolis IN
19 17 Tin Man Brewing Company Evansville IN
20 18 Black Acre Brewing Co. Indianapolis IN
21 19 Brew Link Brewing Plainfield IN
22 20 Bare Hands Brewery Granger IN
23 21 Three Pints Brewing Martinsville IN
24 22 Four Fathers Brewing Valparaiso IN
25 23 Indiana City Brewing Indianapolis IN
26 24 Burn 'Em Brewing Michigan City IN
27 25 Sun King Brewing Company Indianapolis IN
28 26 Evil Czech Brewery Mishawaka IN
29 27 450 North Brewing Company Columbus IN
30 28 Taxman Brewing Company Bargersville IN
31 29 Cedar Creek Brewery Seven Points TX
32 30 SanTan Brewing Company Chandler AZ
33 31 Boulevard Brewing Company Kansas City MO
34 32 James Page Brewing Company Stevens Point WI
35 33 The Dudes' Brewing Company Torrance CA
36 34 Ballast Point Brewing Company San Diego CA
37 35 Anchor Brewing Company San Francisco CA
38 36 Figueroa Mountain Brewing Company Buellton CA
39 37 Avery Brewing Company Boulder CO
40 38 Twisted X Brewing Company Dripping Springs TX
41 39 Gonzo's BiggDogg Brewing Kalamazoo MI
42 40 Big Muddy Brewing Murphysboro IL
43 41 Lost Nation Brewing East Fairfield VT
44 42 Rising Tide Brewing Company Portland ME
45 43 Rivertowne Brewing Company Export PA
46 44 Revolution Brewing Company Chicago IL
47 45 Tallgrass Brewing Company Manhattan KS
48 46 Sixpoint Craft Ales Brooklyn NY
49 47 White Birch Brewing Hooksett NH
50 48 Firestone Walker Brewing Company Paso Robles CA
51 49 SweetWater Brewing Company Atlanta GA
52 50 Flying Mouse Brewery Troutville VA
53 51 Upslope Brewing Company Boulder CO
54 52 Pipeworks Brewing Company Chicago IL
55 53 Bent Brewstillery Roseville MN
56 54 Flesk Brewing Company Lombard IL
57 55 Pollyanna Brewing Company Lemont IL
58 56 BuckleDown Brewing Lyons IL
59 57 Destihl Brewery Bloomington IL
60 58 Summit Brewing Company St. Paul MN
61 59 Latitude 42 Brewing Company Portage MI
62 60 4 Hands Brewing Company Saint Louis MO
63 61 Surly Brewing Company Brooklyn Center MN
64 62 Against The Grain Brewery Louisville KY
65 63 Crazy Mountain Brewing Company Edwards CO
66 64 SlapShot Brewing Company Chicago IL
67 65 Mikerphone Brewing Chicago IL
68 66 Freetail Brewing Company San Antonio TX
69 67 3 Daughters Brewing St Petersburg FL
70 68 Red Shedman Farm Brewery and Hop... Mt. Airy MD
71 69 Appalachian Mountain Brewery Boone NC
72 70 Birdsong Brewing Company Charlotte NC
73 71 Union Craft Brewing Baltimore MD
74 72 Atwater Brewery Detroit MI
75 73 Ale Asylum Madison WI
76 74 Two Brothers Brewing Company Warrenville IL
77 75 Bent Paddle Brewing Company Duluth MN
78 76 Bell's Brewery Kalamazoo MI
79 77 Blue Owl Brewing Austin TX
80 78 Speakasy Ales & Lagers San Francisco CA
81 79 Black Tooth Brewing Company Sheridan WY
82 80 Hopworks Urban Brewery Portland OR
83 81 Epic Brewing Denver CO
84 82 New Belgium Brewing Company Fort Collins CO
85 83 Sierra Nevada Brewing Company Chico CA
86 84 Keweenaw Brewing Company Houghton MI
87 85 Brewery Terra Firma Traverse City MI
88 86 Grey Sail Brewing Company Westerly RI
89 87 Kirkwood Station Brewing Company Kirkwood MO
90 88 Goose Island Brewing Company Chicago IL
91 89 Broad Brook Brewing LLC East Windsor CT
92 90 The Lion Brewery Wilkes-Barre PA
93 91 Madtree Brewing Company Cincinnati OH
94 92 Jackie O's Pub & Brewery Athens OH
95 93 Rhinegeist Brewery Cincinnati OH
96 94 Warped Wing Brewing Company Dayton OH
97 95 Blackrocks Brewery Marquette MA
98 96 Catawba Valley Brewing Company Morganton NC
99 97 Tröegs Brewing Company Hershey PA
100 98 Mission Brewery San Diego CA
101 99 Christian Moerlein Brewing Company Cincinnati OH
102 100 West Sixth Brewing Lexington KY
103 101 Coastal Extreme Brewing Company Newport RI
104 102 King Street Brewing Company Anchorage AK
105 103 Beer Works Brewery Lowell MA
106 104 Lone Tree Brewing Company Lone Tree CO
107 105 Four String Brewing Company Columbus OH
108 106 Glabrous Brewing Company Pineland ME
109 107 Bonfire Brewing Company Eagle CO
110 108 Thomas Hooker Brewing Company Bloomfield CT
111 109 Woodstock Inn, Station & Brewery North Woodstock NH
112 110 Renegade Brewing Company Denver CO
113 111 Mother Earth Brew Company Vista CA
114 112 Black Market Brewing Company Temecula CA
115 113 Vault Brewing Company Yardley PA
116 114 Jailbreak Brewing Company Laurel MD
117 115 Smartmouth Brewing Company Norfolk VA
118 116 Base Camp Brewing Co. Portland OR
119 117 Alameda Brewing Portland OR
120 118 Southern Star Brewing Company Conroe TX
121 119 Steamworks Brewing Company Durango CO
122 120 Horny Goat Brew Pub Milwaukee WI
123 121 Cheboygan Brewing Company Cheboygan MI
124 122 Center of the Universe Brewing C... Ashland VA
125 123 Ipswich Ale Brewery Ipswich MA
126 124 Griffin Claw Brewing Company Birmingham MI
127 125 Karbach Brewing Company Houston TX
128 126 Uncle Billy's Brewery and Smokeh... Austin TX
129 127 Deep Ellum Brewing Company Dallas TX
130 128 Real Ale Brewing Company Blanco TX
131 129 Straub Brewery St Mary's PA
132 130 Shebeen Brewing Company Wolcott CT
133 131 Stevens Point Brewery Stevens Point WI
134 132 Weston Brewing Company Weston MO
135 133 Southern Prohibition Brewing Com... Hattiesburg MS
136 134 Minhas Craft Brewery Monroe WI
137 135 Pug Ryan's Brewery Dillon CO
138 136 Hops & Grains Brewing Company Austin TX
139 137 Sietsema Orchards and Cider Mill Ada MI
140 138 Summit Brewing Company St Paul MN
141 139 Core Brewing & Distilling Company Springdale AR
142 140 Independence Brewing Company Austin TX
143 141 Cigar City Brewing Company Tampa FL
144 142 Third Street Brewhouse Cold Spring MN
145 143 Narragansett Brewing Company Providence RI
146 144 Grimm Brothers Brewhouse Loveland CO
147 145 Cisco Brewers Nantucket MA
148 146 Angry Minnow Hayward WI
149 147 Platform Beer Company Cleveland OH
150 148 Odyssey Beerwerks Arvada CO
151 149 Lonerider Brewing Company Raleigh NC
152 150 Oakshire Brewing Eugene OR
153 151 Fort Pitt Brewing Company Latrobe PA
154 152 Tin Roof Brewing Company Baton Rouge LA
155 153 Three Creeks Brewing Sisters OR
156 154 2 Towns Ciderhouse Corvallis OR
157 155 Caldera Brewing Company Ashland OR
158 156 Greenbrier Valley Brewing Company Lewisburg WV
159 157 Phoenix Ale Brewery Phoenix AZ
160 158 Lumberyard Brewing Company Flagstaff AZ
161 159 Uinta Brewing Company Salt Lake City UT
162 160 Four Peaks Brewing Company Tempe AZ
163 161 Martin House Brewing Company Fort Worth TX
164 162 Right Brain Brewery Traverse City MI
165 163 Sly Fox Brewing Company Phoenixville PA
166 164 Round Guys Brewing Lansdale PA
167 165 Great Crescent Brewery Aurora IN
168 166 Oskar Blues Brewery Longmont CO
169 167 Boxcar Brewing Company West Chester PA
170 168 High Hops Brewery Windsor CO
171 169 Crooked Fence Brewing Company Garden City ID
172 170 Everybody's Brewing White Salmon WA
173 171 Anderson Valley Brewing Company Boonville CA
174 172 Fiddlehead Brewing Company Shelburne VT
175 173 Evil Twin Brewing Brooklyn NY
176 174 New Orleans Lager & Ale Brewing ... New Orleans LA
177 175 Spiteful Brewing Company Chicago IL
178 176 Rahr & Sons Brewing Company Fort Worth TX
179 177 18th Street Brewery Gary IN
180 178 Cambridge Brewing Company Cambridge MA
181 179 Carolina Brewery Pittsboro NC
182 180 Frog Level Brewing Company Waynesville NC
183 181 Wild Wolf Brewing Company Nellysford VA
184 182 COOP Ale Works Oklahoma City OK
185 183 Seventh Son Brewing Company Columbus OH
186 184 Oasis Texas Brewing Company Austin TX
187 185 Vander Mill Ciders Spring Lake MI
188 186 St. Julian Winery Paw Paw MI
189 187 Pedernales Brewing Company Fredericksburg TX
190 188 Mother's Brewing Springfield MO
191 189 Modern Monks Brewery Lincoln NE
192 190 Two Beers Brewing Company Seattle WA
193 191 Snake River Brewing Company Jackson WY
194 192 Capital Brewery Middleton WI
195 193 Anthem Brewing Company Oklahoma City OK
196 194 Goodlife Brewing Co. Bend OR
197 195 Breakside Brewery Portland OR
198 196 Goose Island Brewery Company Chicago IL
199 197 Burnside Brewing Co. Portland OR
200 198 Hop Valley Brewing Company Springfield OR
201 199 Worthy Brewing Company Bend OR
202 200 Occidental Brewing Company Portland OR
203 201 Fearless Brewing Company Estacada OR
204 202 Upland Brewing Company Bloomington IN
205 203 Mehana Brewing Co. Hilo HI
206 204 Hawai'i Nui Brewing Co. Hilo HI
207 205 People's Brewing Company Lafayette IN
208 206 Fort George Brewery Astoria OR
209 207 Branchline Brewing Company San Antonio TX
210 208 Kalona Brewing Company Kalona IA
211 209 Modern Times Beer San Diego CA
212 210 Temperance Beer Company Evanston IL
213 211 Wisconsin Brewing Company Verona WI
214 212 Crow Peak Brewing Company Spearfish SD
215 213 Grapevine Craft Brewery Farmers Branch TX
216 214 Buffalo Bayou Brewing Company Houston TX
217 215 Texian Brewing Co. Richmond TX
218 216 Orpheus Brewing Atlanta GA
219 217 Forgotten Boardwalk Cherry Hill NJ
220 218 Laughing Dog Brewing Company Ponderay ID
221 219 Bozeman Brewing Company Bozeman MT
222 220 Big Choice Brewing Broomfield CO
223 221 Big Storm Brewing Company Odessa FL
224 222 Carton Brewing Company Atlantic Highlands NJ
225 223 Midnight Sun Brewing Company Anchorage AK
226 224 Fat Head's Brewery Middleburg Heights OH
227 225 Refuge Brewery Temecula CA
228 226 Chatham Brewing Chatham NY
229 227 DC Brau Brewing Company Washington DC
230 228 Geneva Lake Brewing Company Lake Geneva WI
231 229 Rochester Mills Brewing Company Rochester MI
232 230 Cape Ann Brewing Company Gloucester MA
233 231 Borderlands Brewing Company Tucson AZ
234 232 College Street Brewhouse and Pub Lake Havasu City AZ
235 233 Joseph James Brewing Company Henderson NV
236 234 Harpoon Brewery Boston MA
237 235 Back East Brewing Company Bloomfield CT
238 236 Champion Brewing Company Charlottesville VA
239 237 Devil's Backbone Brewing Company Lexington VA
240 238 Newburgh Brewing Company Newburgh NY
241 239 Wiseacre Brewing Company Memphis TN
242 240 Golden Road Brewing Los Angeles CA
243 241 New Republic Brewing Company College Station TX
244 242 Infamous Brewing Company Austin TX
245 243 Two Henrys Brewing Company Plant City FL
246 244 Lift Bridge Brewing Company Stillwater MN
247 245 Lucky Town Brewing Company Jackson MS
248 246 Quest Brewing Company Greenville SC
249 247 Creature Comforts Athens GA
250 248 Half Full Brewery Stamford CT
251 249 Southampton Publick House Southampton NY
252 250 Chapman's Brewing Angola IN
253 251 Barrio Brewing Company Tucson AZ
254 252 Santa Cruz Mountain Brewing Santa Cruz CA
255 253 Frankenmuth Brewery Frankenmuth MI
256 254 Meckley's Cidery Somerset Center MI
257 255 Stillwater Artisanal Ales Baltimore MD
258 256 Finch's Beer Company Chicago IL
259 257 South Austin Brewery South Austin TX
260 258 Bauhaus Brew Labs Minneapolis MN
261 259 Ozark Beer Company Rogers AR
262 260 Mountain Town Brewing Company Mount Pleasant MI
263 261 Otter Creek Brewing Waterbury VT
264 262 The Brewer's Art Baltimore MD
265 263 Denver Beer Company Denver CO
266 264 Ska Brewing Company Durango CO
267 265 Tractor Brewing Company Albuquerque NM
268 266 Peak Organic Brewing Company Portland ME
269 267 Cape Cod Beer Hyannis MA
270 268 Long Trail Brewing Company Bridgewater Corners VT
271 269 Great Raft Brewing Company Shreveport LA
272 270 Alaskan Brewing Company Juneau AK
273 271 Notch Brewing Company Ipswich MA
274 272 The Alchemist Waterbury VT
275 273 Three Notch'd Brewing Company Charlottesville VA
276 274 Portside Brewery Cleveland OH
277 275 Otter Creek Brewing Middlebury VT
278 276 Montauk Brewing Company Montauk NY
279 277 Indeed Brewing Company Minneapolis MN
280 278 Berkshire Brewing Company South Deerfield MA
281 279 Foolproof Brewing Company Pawtucket RI
282 280 Headlands Brewing Company Mill Valley CA
283 281 Bolero Snort Brewery Ridgefield Park NJ
284 282 Thunderhead Brewing Company Kearney NE
285 283 Defiance Brewing Company Hays KS
286 284 Milwaukee Brewing Company Milwaukee WI
287 285 Catawba Island Brewing Port Clinton OH
288 286 Back Forty Beer Company Gadsden AL
289 287 Four Corners Brewing Company Dallas TX
290 288 Saint Archer Brewery San Diego CA
291 289 Rogue Ales Newport OR
292 290 Hale's Ales Seattle WA
293 291 Tommyknocker Brewery Idaho Springs CO
294 292 Baxter Brewing Company Lewiston ME
295 293 Northampton Brewery Northamtpon MA
296 294 Black Shirt Brewing Company Denver CO
297 295 Wachusett Brewing Company Westminster MA
298 296 Widmer Brothers Brewing Company Portland OR
299 297 Hop Farm Brewing Company Pittsburgh PA
300 298 Liquid Hero Brewery York PA
301 299 Matt Brewing Company Utica NY
302 300 Boston Beer Company Boston MA
303 301 Old Forge Brewing Company Danville PA
304 302 Utah Brewers Cooperative Salt Lake City UT
305 303 Magic Hat Brewing Company South Burlington VT
306 304 Blue Hills Brewery Canton MA
307 305 Night Shift Brewing Everett MA
308 306 Beach Brewing Company Virginia Beach VA
309 307 Payette Brewing Company Garden City ID
310 308 Brew Bus Brewing Tampa FL
311 309 Sockeye Brewing Company Boise ID
312 310 Pine Street Brewery San Francisco CA
313 311 Dirty Bucket Brewing Company Woodinville WA
314 312 Jackalope Brewing Company Nashville TN
315 313 Slanted Rock Brewing Company Meridian ID
316 314 Piney River Brewing Company Bucryus MO
317 315 Cutters Brewing Company Avon IN
318 316 Iron Hill Brewery & Restaurant Wilmington DE
319 317 Marshall Wharf Brewing Company Belfast ME
320 318 Banner Beer Company Williamsburg MA
321 319 Dick's Brewing Company Centralia WA
322 320 Claremont Craft Ales Claremont CA
323 321 Rivertown Brewing Company Lockland OH
324 322 Voodoo Brewery Meadville PA
325 323 D.L. Geary Brewing Company Portland ME
326 324 Pisgah Brewing Company Black Mountain NC
327 325 Neshaminy Creek Brewing Company Croydon PA
328 326 Morgan Street Brewery Saint Louis MO
329 327 Half Acre Beer Company Chicago IL
330 328 The Just Beer Project Burlington VT
331 329 The Bronx Brewery Bronx NY
332 330 Dead Armadillo Craft Brewing Tulsa OK
333 331 Catawba Brewing Company Morganton NC
334 332 La Cumbre Brewing Company Albuquerque NM
335 333 David's Ale Works Diamond Springs CA
336 334 The Traveler Beer Company Burlington VT
337 335 Fargo Brewing Company Fargo ND
338 336 Big Sky Brewing Company Missoula MT
339 337 Nebraska Brewing Company Papillion NE
340 338 Uncle John's Fruit House Winery St. John's MI
341 339 Wormtown Brewery Worcester MA
342 340 Due South Brewing Company Boynton Beach FL
343 341 Palisade Brewing Company Palisade CO
344 342 KelSo Beer Company Brooklyn NY
345 343 Hardywood Park Craft Brewery Richmond VA
346 344 Wolf Hills Brewing Company Abingdon VA
347 345 Lavery Brewing Company Erie PA
348 346 Manzanita Brewing Company Santee CA
349 347 Fullsteam Brewery Durham NC
350 348 Four Horsemen Brewing Company South Bend IN
351 349 Hinterland Brewery Green Bay WI
352 350 Central Coast Brewing Company San Luis Obispo CA
353 351 Westfield River Brewing Company Westfield MA
354 352 Elevator Brewing Company Columbus OH
355 353 Aslan Brewing Company Bellingham WA
356 354 Kulshan Brewery Bellingham WA
357 355 Pikes Peak Brewing Company Monument CO
358 356 Manayunk Brewing Company Philadelphia PA
359 357 Buckeye Brewing Cleveland OH
360 358 Daredevil Brewing Company Shelbyville IN
361 359 NoDa Brewing Company Charlotte NC
362 360 Aviator Brewing Company Fuquay-Varina NC
363 361 Wild Onion Brewing Company Lake Barrington IL
364 362 Hilliard's Beer Seattle WA
365 363 Mikkeller Pottstown PA
366 364 Bohemian Brewery Midvale UT
367 365 Great River Brewery Davenport IA
368 366 Mustang Brewing Company Mustang OK
369 367 Airways Brewing Company Kent WA
370 368 21st Amendment Brewery San Francisco CA
371 369 Eddyline Brewery & Restaurant Buena Vista CO
372 370 Pizza Port Brewing Company Carlsbad CA
373 371 Sly Fox Brewing Company Pottstown PA
374 372 Spring House Brewing Company Conestoga PA
375 373 7venth Sun Dunedin FL
376 374 Astoria Brewing Company Astoria OR
377 375 Maui Brewing Company Lahaina HI
378 376 RoughTail Brewing Company Midwest City OK
379 377 Lucette Brewing Company Menominee WI
380 378 Bold City Brewery Jacksonville FL
381 379 Grey Sail Brewing of Rhode Island Westerly RI
382 380 Blue Blood Brewing Company Lincoln NE
383 381 Swashbuckler Brewing Company Manheim PA
384 382 Blue Mountain Brewery Afton VA
385 383 Starr Hill Brewery Crozet VA
386 384 Westbrook Brewing Company Mt. Pleasant SC
387 385 Shipyard Brewing Company Portland ME
388 386 Revolution Brewing Paonia CO
389 387 Natian Brewery Portland OR
390 388 Alltech's Lexington Brewing Company Lexington KY
391 389 Oskar Blues Brewery (North Carol... Brevard NC
392 390 Orlison Brewing Company Airway Heights WA
393 391 Breckenridge Brewery Denver CO
394 392 Santa Fe Brewing Company Santa Fe NM
395 393 Miami Brewing Company Miami FL
396 394 Schilling & Company Seattle WA
397 395 Hops & Grain Brewery Austin TX
398 396 White Flame Brewing Company Hudsonville MI
399 397 Ruhstaller Beer Company Sacramento CA
400 398 Saugatuck Brewing Company Douglas MI
401 399 Moab Brewery Moab UT
402 400 Macon Beer Company Macon GA
403 401 Amnesia Brewing Company Washougal WA
404 402 Wolverine State Brewing Company Ann Arbor MI
405 403 Red Tank Cider Company Bend OR
406 404 Cascadia Ciderworks United Portland OR
407 405 Fate Brewing Company Boulder CO
408 406 Lazy Monk Brewing Eau Claire WI
409 407 Bitter Root Brewing Hamilton MT
410 408 10 Barrel Brewing Company Bend OR
411 409 Tamarack Brewing Company Lakeside MT
412 410 New England Brewing Company Woodbridge CT
413 411 Seattle Cider Company Seattle WA
414 412 Straight to Ale Huntsville AL
415 413 Austin Beerworks Austin TX
416 414 Blue Mountain Brewery Arrington VA
417 415 Coastal Empire Beer Company Savannah GA
418 416 Jack's Hard Cider (Hauser Estate... Biglerville PA
419 417 Boulder Beer Company Boulder CO
420 418 Coalition Brewing Company Portland OR
421 419 Sanitas Brewing Company Boulder CO
422 420 Gore Range Brewery Edwards CO
423 421 Redstone Meadery Boulder CO
424 422 Blue Dog Mead Eugene OR
425 423 Hess Brewing Company San Diego CA
426 424 Wynkoop Brewing Company Denver CO
427 425 Ciderboys Stevens Point WI
428 426 Armadillo Ale Works Denton TX
429 427 Roanoke Railhouse Brewery Roanoke VA
430 428 Schlafly Brewing Company Saint Louis MO
431 429 Asher Brewing Company Boulder CO
432 430 Lost Rhino Brewing Company Ashburn VA
433 431 North Country Brewing Company Slippery Rock PA
434 432 Seabright Brewery Santa Cruz CA
435 433 French Broad Brewery Asheville NC
436 434 Angry Orchard Cider Company Cincinnati OH
437 435 Two Roads Brewing Company Stratford CT
438 436 Southern Oregon Brewing Company Medford OR
439 437 Brooklyn Brewery Brooklyn NY
440 438 The Right Brain Brewery Traverse City MI
441 439 Kona Brewing Company Kona HI
442 440 MillKing It Productions Royal Oak MI
443 441 Pateros Creek Brewing Company Fort Collins CO
444 442 O'Fallon Brewery O'Fallon MO
445 443 Marble Brewery Albuquerque NM
446 444 Big Wood Brewery Vadnais Heights MN
447 445 Howard Brewing Company Lenoir NC
448 446 Downeast Cider House Leominster MA
449 447 Swamp Head Brewery Gainesville FL
450 448 Mavericks Beer Company Half Moon Bay CA
451 449 TailGate Beer San Diego CA
452 450 Northwest Brewing Company Pacific WA
453 451 Dad & Dude's Breweria Aurora CO
454 452 Centennial Beer Company Edwards CO
455 453 Denali Brewing Company Talkeetna AK
456 454 Deschutes Brewery Bend OR
457 455 Sunken City Brewing Company Hardy VA
458 456 Lucette Brewing Company Menominie WI
459 457 The Black Tooth Brewing Company Sheridan WY
460 458 Kenai River Brewing Company Soldotna AK
461 459 River North Brewery Denver CO
462 460 Fremont Brewing Company Seattle WA
463 461 Armstrong Brewing Company South San Francisco CA
464 462 AC Golden Brewing Company Golden CO
465 463 Big Bend Brewing Company Alpine TX
466 464 Good Life Brewing Company Bend OR
467 465 Engine 15 Brewing Jacksonville Beach FL
468 466 Green Room Brewing Jacksonville FL
469 467 Brindle Dog Brewing Company Tampa Bay FL
470 468 Peace Tree Brewing Company Knoxville IA
471 469 Terrapin Brewing Company Athens GA
472 470 Pete's Brewing Company San Antonio TX
473 471 Okoboji Brewing Company Spirit Lake IA
474 472 Crystal Springs Brewing Company Boulder CO
475 473 Engine House 9 Tacoma WA
476 474 Tonka Beer Company Minnetonka MN
477 475 Red Hare Brewing Company Marietta GA
478 476 Hangar 24 Craft Brewery Redlands CA
479 477 Big Elm Brewing Sheffield MA
480 478 Good People Brewing Company Birmingham AL
481 479 Heavy Seas Beer Halethorpe MD
482 480 Telluride Brewing Company Telluride CO
483 481 7 Seas Brewing Company Gig Harbor WA
484 482 Confluence Brewing Company Des Moines IA
485 483 Bale Breaker Brewing Company Yakima WA
486 484 The Manhattan Brewing Company New York NY
487 485 MacTarnahans Brewing Company Portland OR
488 486 Stillmank Beer Company Green Bay WI
489 487 Redhook Brewery Woodinville WA
490 488 Dock Street Brewery Philadelphia PA
491 489 Blue Point Brewing Company Patchogue NY
492 490 Tampa Bay Brewing Company Tampa FL
493 491 Devil's Canyon Brewery Belmont CA
494 492 Stone Coast Brewing Company Portland ME
495 493 Broken Tooth Brewing Company Anchorage AK
496 494 Seven Brides Brewery Silverton OR
497 495 Newburyport Brewing Company Newburyport MA
498 496 Dry Dock Brewing Company Aurora CO
499 497 Cans Bar and Canteen Charlotte NC
500 498 Sprecher Brewing Company Glendale WI
501 499 Wildwood Brewing Company Stevensville MT
502 500 High Noon Saloon And Brewery Leavenworth KS
503 501 Woodchuck Hard Cider Middlebury VT
504 502 Sea Dog Brewing Company Portland ME
505 503 Oskar Blues Brewery Lyons CO
506 504 Carolina Beer & Beverage Mooresville NC
507 505 Krebs Brewing Company (Pete's Pl... Krebs OK
508 506 Warbird Brewing Company Fort Wayne IN
509 507 Mudshark Brewing Company Lake Havasu City AZ
510 508 Spilker Ales Cortland NE
511 509 Wingman Brewers Tacoma WA
512 510 Kettle House Brewing Company Missoula MT
513 511 Sherwood Forest Brewers Marlborough MA
514 512 Cottrell Brewing Pawcatuck CT
515 513 Arctic Craft Brewery Colorado Springs CO
516 514 Monkey Paw Pub & Brewery San Diego CA
517 515 Crabtree Brewing Company Greeley CO
518 516 Emerald City Beer Company Seattle WA
519 517 Butcher's Brewing Carlsbad CA
520 518 New South Brewing Company Myrtle Beach SC
521 519 Big River Brewing Company Chattanooga TN
522 520 Twisted Pine Brewing Company Boulder CO
523 521 Flying Dog Brewery Frederick MD
524 522 Uncommon Brewers Santa Cruz CA
525 523 Aspen Brewing Company Aspen CO
526 524 Triangle Brewing Company Durham NC
527 525 Bomb Beer Company New York NY
528 526 Churchkey Can Company Seattle WA
529 527 Intuition Ale Works Jacksonville FL
530 528 Asheville Brewing Company Asheville NC
531 529 Northwoods Brewpub Eau Claire WI
532 530 Buckbean Brewing Company Reno NV
533 531 Dolores River Brewery Dolores CO
534 532 Flat Rock Brewing Company Smithton PA
535 533 Abita Brewing Company Abita Springs LA
536 534 Mammoth Brewing Company Mammoth Lakes CA
537 535 Harvest Moon Brewing Company Belt MT
538 536 Grand Canyon Brewing Company Williams AZ
539 537 Lewis and Clark Brewing Company Helena MT
540 538 Dundee Brewing Company Rochester NY
541 539 Twin Lakes Brewing Company Greenville DE
542 540 Mother Earth Brewing Company Kinston NC
543 541 Arcadia Brewing Company Battle Creek MI
544 542 Angry Minnow Brewing Company Hayward WI
545 543 Great Northern Brewing Company Whitefish MT
546 544 Pyramid Breweries Seattle WA
547 545 Lancaster Brewing Company Lancaster PA
548 546 Upstate Brewing Company Elmira NY
549 547 Moat Mountain Smoke House & Brew... North Conway NH
550 548 Prescott Brewing Company Prescott AZ
551 549 Mogollon Brewing Company Flagstaff AZ
552 550 Wind River Brewing Company Pinedale WY
553 551 Silverton Brewery Silverton CO
554 552 Mickey Finn's Brewery Libertyville IL
555 553 Covington Brewhouse Covington LA
556 554 Dave's Brewfarm Wilson WI
557 555 Ukiah Brewing Company Ukiah CA
558 556 Butternuts Beer and Ale Garrattsville NY
559 557 Sleeping Lady Brewing Company Anchorage AK

162686
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[
{
"text": "100 Acre Brewing Company",
"href": "https://ontariocraftbrewers.com/brewery-profile/100-acre-brewing-company/"
},
{
"text": "All My Friends Beer Co.",
"href": "https://ontariocraftbrewers.com/brewery-profile/all-my-friends-beer-co/"
},
{
"text": "All or Nothing Brewhouse",
"href": "https://ontariocraftbrewers.com/brewery-profile/all-or-nothing-brewhouse/"
},
{
"text": "Anderson Craft Ales",
"href": "https://ontariocraftbrewers.com/brewery-profile/anderson-craft-ales/"
},
{
"text": "Badlands Brewing Company",
"href": "https://ontariocraftbrewers.com/brewery-profile/badlands-brewing-company/"
},
{
"text": "Bancroft Brewing Co.",
"href": "https://ontariocraftbrewers.com/brewery-profile/bancroft-brewing-co/"
},
{
"text": "Banded Goose Brewing Comany",
"href": "https://ontariocraftbrewers.com/brewery-profile/banded-goose-brewing-comany/"
},
{
"text": "Beaus Brewery",
"href": "https://ontariocraftbrewers.com/brewery-profile/beaus-brewery/"
},
{
"text": "BeerLab! London",
"href": "https://ontariocraftbrewers.com/brewery-profile/beerlab-london/"
},
{
"text": "Bellwoods Brewery",
"href": "https://ontariocraftbrewers.com/brewery-profile/bellwoods-brewery/"
},
{
"text": "Bench Brewing",
"href": "https://ontariocraftbrewers.com/brewery-profile/bench-brewing/"
},
{
"text": "Beyond The Pale Brewing Co.",
"href": "https://ontariocraftbrewers.com/brewery-profile/beyond-the-pale-brewing-co/"
},
{
"text": "Bicycle Craft Brewery",
"href": "https://ontariocraftbrewers.com/brewery-profile/bicycle-craft-brewery/"
},
{
"text": "Big Rig Brewery",
"href": "https://ontariocraftbrewers.com/brewery-profile/big-rig-brewery/"
},
{
"text": "Big Rock Brewery",
"href": "https://ontariocraftbrewers.com/brewery-profile/big-rock-brewery/"
},
{
"text": "Black Gold Brewery",
"href": "https://ontariocraftbrewers.com/brewery-profile/black-gold-brewery/"
},
{
"text": "Black Oak Brewing Co.",
"href": "https://ontariocraftbrewers.com/brewery-profile/black-oak-brewing-co/"
},
{
"text": "Block 3 Brewing Co.",
"href": "https://ontariocraftbrewers.com/brewery-profile/block-3-brewing-co/"
},
{
"text": "Blood Brothers Brewing",
"href": "https://ontariocraftbrewers.com/brewery-profile/blood-brothers-brewing/"
},
{
"text": "Bobcaygeon Brewing Company",
"href": "https://ontariocraftbrewers.com/brewery-profile/bobcaygeon-brewing-company/"
},
{
"text": "Boshkung Brewing Co.",
"href": "https://ontariocraftbrewers.com/brewery-profile/boshkung-brewing-co/"
},
{
"text": "Brauwerk Hoffman Rockland",
"href": "https://ontariocraftbrewers.com/brewery-profile/brauwerk-hoffman-rockland/"
},
{
"text": "Bridge Masters Brewing Co.",
"href": "https://ontariocraftbrewers.com/brewery-profile/bridge-masters-brewing-co/"
},
{
"text": "Broadhead Brewery",
"href": "https://ontariocraftbrewers.com/brewery-profile/broadhead-brewery/"
},
{
"text": "Broken Rail Brewing",
"href": "https://ontariocraftbrewers.com/brewery-profile/broken-rail-brewing/"
},
{
"text": "Burdock Brewery",
"href": "https://ontariocraftbrewers.com/brewery-profile/burdock-brewery/"
},
{
"text": "Cest What Durham Brewing Company",
"href": "https://ontariocraftbrewers.com/brewery-profile/cest-what-durham-brewing-company/"
},
{
"text": "Calabogie Brewing",
"href": "https://ontariocraftbrewers.com/brewery-profile/calabogie-brewing/"
},
{
"text": "Camerons Brewing Company",
"href": "https://ontariocraftbrewers.com/brewery-profile/camerons-brewing-company/"
},
{
"text": "Canvas Brewing Co.",
"href": "https://ontariocraftbrewers.com/brewery-profile/canvas-brewing-co/"
},
{
"text": "Caps Off Brewing",
"href": "https://ontariocraftbrewers.com/brewery-profile/caps-off-brewing/"
},
{
"text": "Century Barn Brewing & Beverage Co.",
"href": "https://ontariocraftbrewers.com/brewery-profile/century-barn-brewing-and-beverage-company/"
},
{
"text": "Chronicle Brewing Company",
"href": "https://ontariocraftbrewers.com/brewery-profile/chronicle-brewing-company/"
},
{
"text": "Clifford Brewing Co.",
"href": "https://ontariocraftbrewers.com/brewery-profile/clifford-brewing-co/"
},
{
"text": "Cold Bear Brewing Co.",
"href": "https://ontariocraftbrewers.com/brewery-profile/cold-bear-brewing-co/"
},
{
"text": "Collective Arts Brewing",
"href": "https://ontariocraftbrewers.com/brewery-profile/collective-arts-brewing-ltd/"
},
{
"text": "Common Good Beer Co.",
"href": "https://ontariocraftbrewers.com/brewery-profile/common-good-beer-co/"
},
{
"text": "Couchiching Craft Brewing Company",
"href": "https://ontariocraftbrewers.com/brewery-profile/couchiching-craft-brewing-company/"
},
{
"text": "Cowbell Brewing Co.",
"href": "https://ontariocraftbrewers.com/brewery-profile/cowbell-brewing-co/"
},
{
"text": "Cured Craft Brewing Co.",
"href": "https://ontariocraftbrewers.com/brewery-profile/cured-craft-brewing-co/"
},
{
"text": "Daft Brewing Company",
"href": "https://ontariocraftbrewers.com/brewery-profile/daft-brewing-company/"
},
{
"text": "Dog House Brewing Company",
"href": "https://ontariocraftbrewers.com/brewery-profile/dog-house-brewing-company/"
},
{
"text": "Dominion City Brewing Co.",
"href": "https://ontariocraftbrewers.com/brewery-profile/dominion-city-brewing-co/"
},
{
"text": "Eastbound Brewing Co.",
"href": "https://ontariocraftbrewers.com/brewery-profile/eastbound-brewing-co/"
},
{
"text": "Equals Brewing Company",
"href": "https://ontariocraftbrewers.com/brewery-profile/equals-brewing-company/"
},
{
"text": "Fairweather Brewing Company",
"href": "https://ontariocraftbrewers.com/brewery-profile/fairweather-brewing-company/"
},
{
"text": "Farm League Brewing",
"href": "https://ontariocraftbrewers.com/brewery-profile/farm-league-brewing/"
},
{
"text": "Fixed Gear Brewing Co.",
"href": "https://ontariocraftbrewers.com/brewery-profile/fixed-gear-brewing-co/"
},
{
"text": "Flying Monkeys Craft Brewery",
"href": "https://ontariocraftbrewers.com/brewery-profile/flying-monkeys-craft-brewery/"
},
{
"text": "Focal Brewing Co.",
"href": "https://ontariocraftbrewers.com/brewery-profile/focal-brewing-co/"
},
{
"text": "Foundry Brewing",
"href": "https://ontariocraftbrewers.com/brewery-profile/foundry-brewing/"
},
{
"text": "Four Fathers Brewing Co.",
"href": "https://ontariocraftbrewers.com/brewery-profile/four-fathers-brewing-co/"
},
{
"text": "Frank Brewing Co.",
"href": "https://ontariocraftbrewers.com/brewery-profile/frank-brewing-co/"
},
{
"text": "Freddys",
"href": "https://ontariocraftbrewers.com/brewery-profile/freddys/"
},
{
"text": "Full Beard Brewing Co.",
"href": "https://ontariocraftbrewers.com/brewery-profile/1068-2/"
},
{
"text": "Furnace Room Brewery",
"href": "https://ontariocraftbrewers.com/brewery-profile/furnace-room-brewery/"
},
{
"text": "Gateway City Brewery",
"href": "https://ontariocraftbrewers.com/brewery-profile/gateway-city-brewery/"
},
{
"text": "Glasstown Brewing Company",
"href": "https://ontariocraftbrewers.com/brewery-profile/glasstown-brewing-company/"
},
{
"text": "Godspeed Brewery",
"href": "https://ontariocraftbrewers.com/brewery-profile/godspeed-brewery/"
},
{
"text": "Goldenfield Brewing",
"href": "https://ontariocraftbrewers.com/brewery-profile/goldenfield-brewing/"
},
{
"text": "Grand River Brewery",
"href": "https://ontariocraftbrewers.com/brewery-profile/grand-river-brewery/"
},
{
"text": "Granite Brewery",
"href": "https://ontariocraftbrewers.com/brewery-profile/granite-brewery/"
},
{
"text": "Great Lakes Brewery",
"href": "https://ontariocraftbrewers.com/brewery-profile/great-lakes-brewery/"
},
{
"text": "Haliburton Highlands Brewery",
"href": "https://ontariocraftbrewers.com/brewery-profile/haliburton-highlands-brewery/"
},
{
"text": "Imperial City Brew House",
"href": "https://ontariocraftbrewers.com/brewery-profile/imperial-city-brew-house/"
},
{
"text": "Indie Ale House",
"href": "https://ontariocraftbrewers.com/brewery-profile/indie-ale-house/"
},
{
"text": "Jobsite Brewing Co.",
"href": "https://ontariocraftbrewers.com/brewery-profile/jobsite-brewing-co/"
},
{
"text": "Kichesippi Beer Co.",
"href": "https://ontariocraftbrewers.com/brewery-profile/kichesippi-beer-co/"
},
{
"text": "Kick and Push Brewing Company",
"href": "https://ontariocraftbrewers.com/brewery-profile/kick-and-push-brewing-company/"
},
{
"text": "Lake of Bays Brewing Co.",
"href": "https://ontariocraftbrewers.com/brewery-profile/lake-of-bays-brewing-co/"
},
{
"text": "Lake Of The Woods Brewing Company",
"href": "https://ontariocraftbrewers.com/brewery-profile/lake-of-the-woods-brewing-company/"
},
{
"text": "Left Field Brewery",
"href": "https://ontariocraftbrewers.com/brewery-profile/left-field-brewery/"
},
{
"text": "Lightcaster Brewery",
"href": "https://ontariocraftbrewers.com/brewery-profile/lightcaster-brewery/"
},
{
"text": "MacKinnon Brothers Brewing Co.",
"href": "https://ontariocraftbrewers.com/brewery-profile/mackinnon-brothers-brewing-co/"
},
{
"text": "Macleans Ales Inc.",
"href": "https://ontariocraftbrewers.com/brewery-profile/macleans-ales-inc/"
},
{
"text": "Magnotta Brewery",
"href": "https://ontariocraftbrewers.com/brewery-profile/magnotta-brewery/"
},
{
"text": "Market Brewing",
"href": "https://ontariocraftbrewers.com/brewery-profile/market-brewing/"
},
{
"text": "Mascot Brewery",
"href": "https://ontariocraftbrewers.com/brewery-profile/mascot-brewery/"
},
{
"text": "Matron Fine Beer",
"href": "https://ontariocraftbrewers.com/brewery-profile/matron-fine-beer/"
},
{
"text": "Meyers Creek Brewing Company",
"href": "https://ontariocraftbrewers.com/brewery-profile/meyers-creek-brewing-company/"
},
{
"text": "Midtown Brewing Co.",
"href": "https://ontariocraftbrewers.com/brewery-profile/midtown-brewing-co/"
},
{
"text": "Miski Brewing",
"href": "https://ontariocraftbrewers.com/brewery-profile/miski-brewing/"
},
{
"text": "Muddy York Brewing Co.",
"href": "https://ontariocraftbrewers.com/brewery-profile/muddy-york-brewing-co/"
},
{
"text": "Muskoka Brewery",
"href": "https://ontariocraftbrewers.com/brewery-profile/muskoka-brewery/"
},
{
"text": "Natterjack Brewing Company",
"href": "https://ontariocraftbrewers.com/brewery-profile/natterjack-brewing-company/"
},
{
"text": "Newark Brewing Co.",
"href": "https://ontariocraftbrewers.com/brewery-profile/newark-brewing-co/"
},
{
"text": "Niagara Brewing Company",
"href": "https://ontariocraftbrewers.com/brewery-profile/niagara-brewing-company/"
},
{
"text": "Niagara College Teaching Brewery",
"href": "https://ontariocraftbrewers.com/brewery-profile/niagara-college-teaching-brewery/"
},
{
"text": "Niagara Oast House Brewers",
"href": "https://ontariocraftbrewers.com/brewery-profile/niagara-oast-house-brewers/"
},
{
"text": "Nickel Brook Brewing Co.",
"href": "https://ontariocraftbrewers.com/brewery-profile/nickel-brook-brewing-co/"
},
{
"text": "Northern Superior Brewing Co.",
"href": "https://ontariocraftbrewers.com/brewery-profile/northern-superior-brewing-co/"
},
{
"text": "Old Credit Brewing Co.",
"href": "https://ontariocraftbrewers.com/brewery-profile/old-credit-brewing-co/"
},
{
"text": "Old Flame Brewing Co.",
"href": "https://ontariocraftbrewers.com/brewery-profile/1239-2/"
},
{
"text": "Orléans Brewing Co.",
"href": "https://ontariocraftbrewers.com/brewery-profile/orleans-brewing-co/"
},
{
"text": "Overflow Brewing Co.",
"href": "https://ontariocraftbrewers.com/brewery-profile/overflow-brewing-co/"
},
{
"text": "Parsons Brewing Company",
"href": "https://ontariocraftbrewers.com/brewery-profile/parsons-brewing-company/"
},
{
"text": "Perth Brewery",
"href": "https://ontariocraftbrewers.com/brewery-profile/perth-brewery/"
},
{
"text": "Prince Eddys Brewing Company",
"href": "https://ontariocraftbrewers.com/brewery-profile/prince-eddys-brewing-company/"
},
{
"text": "Quayles Brewery",
"href": "https://ontariocraftbrewers.com/brewery-profile/quayles-brewery/"
},
{
"text": "Quetico Brewing Company",
"href": "https://ontariocraftbrewers.com/brewery-profile/quetico-brewing-company/"
},
{
"text": "Railway City Brewing Co.",
"href": "https://ontariocraftbrewers.com/brewery-profile/railway-city-brewing-co/"
},
{
"text": "Ramblin Road Brewery Farm",
"href": "https://ontariocraftbrewers.com/brewery-profile/ramblin-road-brewery-farm/"
},
{
"text": "Red Barn Brewing Company",
"href": "https://ontariocraftbrewers.com/brewery-profile/red-barn-brewing-company/"
},
{
"text": "Refined Fool Brewing Co.",
"href": "https://ontariocraftbrewers.com/brewery-profile/refined-fool-brewing-co/"
},
{
"text": "Rouge River Brewing",
"href": "https://ontariocraftbrewers.com/brewery-profile/rouge-river-brewing/"
},
{
"text": "Royal City Brewing Co.",
"href": "https://ontariocraftbrewers.com/brewery-profile/royal-city-brewing-co/"
},
{
"text": "Sassy Britches Brewing Co Ltd",
"href": "https://ontariocraftbrewers.com/brewery-profile/sassy-britches-brewing-co-ltd/"
},
{
"text": "Sawdust City Brewing",
"href": "https://ontariocraftbrewers.com/brewery-profile/sawdust-city-brewing/"
},
{
"text": "Shawn & Ed Brewing Co.",
"href": "https://ontariocraftbrewers.com/brewery-profile/shawn-ed-brewing-co/"
},
{
"text": "Silversmith Brewing Company",
"href": "https://ontariocraftbrewers.com/brewery-profile/silversmith-brewing-company/"
},
{
"text": "Slake Brewing",
"href": "https://ontariocraftbrewers.com/brewery-profile/slake-brewing/"
},
{
"text": "Sleeping Giant Brewing Co.",
"href": "https://ontariocraftbrewers.com/brewery-profile/sleeping-giant-brewing-co/"
},
{
"text": "Something in the Water Brewing Co.",
"href": "https://ontariocraftbrewers.com/brewery-profile/something-in-the-water-brewing-co/"
},
{
"text": "Sonnen Hill Brewing",
"href": "https://ontariocraftbrewers.com/brewery-profile/sonnen-hill-brewing/"
},
{
"text": "Sons of Kent Brewing Company",
"href": "https://ontariocraftbrewers.com/brewery-profile/sons-of-kent-brewing-company/"
},
{
"text": "Spark Beer",
"href": "https://ontariocraftbrewers.com/brewery-profile/spark-beer/"
},
{
"text": "Split Rail Brewing Company",
"href": "https://ontariocraftbrewers.com/brewery-profile/split-rail-brewing-company/"
},
{
"text": "Stack Brewing",
"href": "https://ontariocraftbrewers.com/brewery-profile/stack-brewing/"
},
{
"text": "Steam Whistle Brewing",
"href": "https://ontariocraftbrewers.com/brewery-profile/steam-whistle-brewing/"
},
{
"text": "Steel Wheel Brewery",
"href": "https://ontariocraftbrewers.com/brewery-profile/steel-wheel-brewery/"
},
{
"text": "Stonehooker Brewing Company",
"href": "https://ontariocraftbrewers.com/brewery-profile/stonehooker-brewing-company/"
},
{
"text": "Stonepicker Brewery",
"href": "https://ontariocraftbrewers.com/brewery-profile/stonepicker-brewery/"
},
{
"text": "Stray Dog Brewing Company",
"href": "https://ontariocraftbrewers.com/brewery-profile/stray-dog-brewing-company/"
},
{
"text": "The Exchange Brewery",
"href": "https://ontariocraftbrewers.com/brewery-profile/the-exchange-brewery/"
},
{
"text": "The Grove Brewing Company",
"href": "https://ontariocraftbrewers.com/brewery-profile/the-grove-brewing-company/"
},
{
"text": "The Second Wedge Brewing Co.",
"href": "https://ontariocraftbrewers.com/brewery-profile/the-second-wedge-brewing-co/"
},
{
"text": "Thornbury Village Craft Brewery",
"href": "https://ontariocraftbrewers.com/brewery-profile/thornbury-village-craft-brewery/"
},
{
"text": "Three Sheets Brewing",
"href": "https://ontariocraftbrewers.com/brewery-profile/three-sheets-brewing/"
},
{
"text": "Tooth and Nail Brewing Company",
"href": "https://ontariocraftbrewers.com/brewery-profile/tooth-and-nail-brewing-company/"
},
{
"text": "Torched Brewing",
"href": "https://ontariocraftbrewers.com/brewery-profile/torched-brewing/"
},
{
"text": "Town Brewery",
"href": "https://ontariocraftbrewers.com/brewery-profile/town-brewery/"
},
{
"text": "Trestle Brewing Company",
"href": "https://ontariocraftbrewers.com/brewery-profile/trestle-brewing-company/"
},
{
"text": "True History Brewing",
"href": "https://ontariocraftbrewers.com/brewery-profile/true-history-brewing/"
},
{
"text": "Upper Thames Brewing Co.",
"href": "https://ontariocraftbrewers.com/brewery-profile/upper-thames-brewing-co/"
},
{
"text": "Vimy Brewing Company",
"href": "https://ontariocraftbrewers.com/brewery-profile/vimy-brewing-company/"
},
{
"text": "Walkerville Brewery",
"href": "https://ontariocraftbrewers.com/brewery-profile/walkerville-brewery/"
},
{
"text": "Wave Maker Craft Brewery",
"href": "https://ontariocraftbrewers.com/brewery-profile/wave-maker-craft-brewery/"
},
{
"text": "Wellington Brewery",
"href": "https://ontariocraftbrewers.com/brewery-profile/wellington-brewery/"
},
{
"text": "Whiprsnapr Brewing Co.",
"href": "https://ontariocraftbrewers.com/brewery-profile/whiprsnapr-brewing-co/"
},
{
"text": "Whiskeyjack Beer Company",
"href": "https://ontariocraftbrewers.com/brewery-profile/whiskeyjack-beer-company/"
},
{
"text": "Whitewater Brewing Company",
"href": "https://ontariocraftbrewers.com/brewery-profile/whitewater-brewing-company/"
},
{
"text": "Willibald Farm Distillery & Brewery",
"href": "https://ontariocraftbrewers.com/brewery-profile/willibald-farm-distillery-brewery/"
},
{
"text": "Windmill Brewery",
"href": "https://ontariocraftbrewers.com/brewery-profile/windmill-brewery/"
},
{
"text": "Wishbone Brewing",
"href": "https://ontariocraftbrewers.com/brewery-profile/wishbone-brewing/"
}
]

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@@ -1,5 +1,5 @@
---
BasedOnStyle: Google
ColumnLimit: 80
IndentWidth: 2
IndentWidth: 3
...

17
pipeline/.clang-tidy Normal file
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---
Checks: >
-*,
bugprone-*,
clang-analyzer-*,
cppcoreguidelines-*,
google-*,
modernize-*,
performance-*,
readability-*,
-cppcoreguidelines-avoid-magic-numbers,
-cppcoreguidelines-owning-memory,
-readability-magic-numbers,
-google-readability-todo
HeaderFilterRegex: "^(src|includes)/.*"
FormatStyle: file
...

5
pipeline/.gitignore vendored Normal file
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dist
build
data
models
*.gguf

115
pipeline/CMakeLists.txt Normal file
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cmake_minimum_required(VERSION 3.24)
project(biergarten-pipeline)
# =============================================================================
# 1. GPU Detection
# =============================================================================
# GGML_CUDA / GGML_METAL are set here so that the llama.cpp FetchContent below
# inherits them as cache variables before its CMakeLists.txt is processed.
if(APPLE)
message(STATUS "[biergarten] Apple Silicon detected — enabling Metal acceleration.")
set(GGML_METAL ON CACHE BOOL "Enable Metal for Apple Silicon" FORCE)
elseif(UNIX AND NOT APPLE)
find_package(CUDAToolkit QUIET)
if(CUDAToolkit_FOUND)
message(STATUS "[biergarten] NVIDIA GPU detected — enabling CUDA acceleration.")
set(GGML_CUDA ON CACHE BOOL "Enable CUDA for NVIDIA GPUs" FORCE)
# 'native' resolves to the exact SM version of the present GPU at configure time
# (e.g. sm_89 for RTX 2000 Ada). Change to a concrete arch list for cross-compilation.
set(CMAKE_CUDA_ARCHITECTURES native)
else()
message(STATUS "[biergarten] No NVIDIA GPU found — falling back to CPU.")
endif()
endif()
# =============================================================================
# 2. Project-wide Settings
# =============================================================================
set(CMAKE_CXX_STANDARD 23)
set(CMAKE_CXX_STANDARD_REQUIRED ON)
set(CMAKE_EXPORT_COMPILE_COMMANDS ON)
# =============================================================================
# 3. Dependencies
# =============================================================================
include(FetchContent)
# --- libcurl ------------------------------------------------------------------
# Prefer the system package; the build will fail at link time if absent and
# no system curl is found, so emit a fatal error early rather than a silent gap.
find_package(CURL QUIET)
if(NOT CURL_FOUND)
message(FATAL_ERROR
"[biergarten] libcurl not found. Install it via your package manager "
"(e.g. 'sudo dnf install libcurl-devel') or set CURL_ROOT.")
endif()
# --- llama.cpp ----------------------------------------------------------------
# Pinned to a specific commit for reproducible builds.
# To update: pick a new commit SHA from https://github.com/ggml-org/llama.cpp
FetchContent_Declare(
llama-cpp
GIT_REPOSITORY https://github.com/ggml-org/llama.cpp.git
GIT_TAG b8611
)
FetchContent_MakeAvailable(llama-cpp)
# --- Boost (JSON + program_options) ------------------------------------------
FetchContent_Declare(
boost
URL https://github.com/boostorg/boost/releases/download/boost-1.85.0/boost-1.85.0-cmake.tar.gz
)
FetchContent_MakeAvailable(boost)
# --- spdlog -------------------------------------------------------------------
FetchContent_Declare(
spdlog
GIT_REPOSITORY https://github.com/gabime/spdlog.git
GIT_TAG v1.15.3
)
FetchContent_MakeAvailable(spdlog)
# =============================================================================
# 4. Sources
# =============================================================================
set(SOURCES
src/main.cpp
src/biergarten_data_generator.cpp
src/data_generation/llama/destructor.cpp
src/data_generation/llama/generate_brewery.cpp
src/data_generation/llama/generate_user.cpp
src/data_generation/llama/helpers.cpp
src/data_generation/llama/infer.cpp
src/data_generation/llama/load.cpp
src/data_generation/llama/load_brewery_prompt.cpp
src/data_generation/llama/set_sampling_options.cpp
src/data_generation/mock/data.cpp
src/data_generation/mock/deterministic_hash.cpp
src/data_generation/mock/generate_brewery.cpp
src/data_generation/mock/generate_user.cpp
src/data_generation/mock/load.cpp
src/json_handling/json_loader.cpp
src/web_client/curl_web_client.cpp
src/wikipedia/wikipedia_service.cpp
)
# =============================================================================
# 5. Target
# =============================================================================
add_executable(${PROJECT_NAME}
${SOURCES}
)
target_include_directories(${PROJECT_NAME} PRIVATE
includes
${llama-cpp_SOURCE_DIR}/include
${llama-cpp_SOURCE_DIR}/common
)
target_link_libraries(${PROJECT_NAME} PRIVATE
llama
boost_json
boost_program_options
spdlog::spdlog
CURL::libcurl
)
# =============================================================================
# 6. Runtime Assets
# =============================================================================
# Make locations.json available in the build directory for runtime relative path
# lookups (e.g. when running from ./build).
configure_file(
${CMAKE_SOURCE_DIR}/locations.json
${CMAKE_BINARY_DIR}/locations.json
COPYONLY
)

84
pipeline/README.md Normal file
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# Biergarten Pipeline
A C++23 tool for processing geographic data and generating brewery metadata. It utilizes a local city manifest, parallel Wikipedia enrichment via `std::async`, and local LLM inference via llama.cpp.
## Overview
The pipeline runs in four stages:
- **Query**: Loads and samples from a local `locations.json` manifest.
- **Enrich**: Fetches regional and cultural context from Wikipedia in parallel using `std::async`.
- **Generate**: Creates authentic brewery names and descriptions using a local GGUF model or a deterministic mock.
- **Log**: Outputs results and metadata summaries via spdlog.
## Implementation Details
### Concurrency
- **Async Enrichment**: Wikipedia API lookups are parallelized using `std::async`. Each city is processed in its own thread to hide network latency.
- **RAII**: Resource management for libcurl handles and llama.cpp weights is handled via constructors/destructors to ensure clean teardown.
### LLM Logic
- **Retries**: Includes a 3-attempt loop with automated error correction. If the model returns invalid JSON, the specific error is fed back into the next prompt.
- **Context Injection**: Wikipedia summaries are injected into the LLM system prompt to ensure descriptions are grounded in actual regional beer culture.
- **Sampling**: Temperature, top-p, and seeds are configurable via the CLI.
## Hardware & GPU Config
### Test Machine
- **Host**: ThinkPad P1 Gen 7 (Fedora 43)
- **CPU**: Intel Core Ultra 7 155H
- **GPU**: NVIDIA RTX 2000 Ada Generation
- **Memory**: 32GB
- **Model**: Qwen3-8B-Q6-K
- **Inference**: llama.cpp with CUDA 12.x support
### GPU Build Flags
```bash
cmake -DGGML_CUDA=ON -DCMAKE_CUDA_ARCHITECTURES=89 ..
cmake --build . --config Release
```
## Core Components
| Component | Function |
| ----------------------- | ----------------------------------------------------------------- |
| BiergartenDataGenerator | Orchestrates the sampling, enrichment, and generation stages. |
| WikipediaService | Fetches and caches summaries for cities and regional beer styles. |
| LlamaGenerator | Handles local GGUF inference and output validation. |
| JsonLoader | Parses the local `locations.json` file into internal structures. |
| CURLWebClient | libcurl wrapper for parallel Wikipedia API requests. |
## CLI Options
```
./biergarten-pipeline --model ./path/to/model.gguf [options]
```
| Flag | Description |
| --------------- | ----------------------------------------------- |
| `--mocked` | Use deterministic mock data instead of an LLM. |
| `--model`, `-m` | Path to the GGUF file. |
| `--temperature` | Model temperature (0.0 - 1.0). |
| `--n-ctx` | Context window size (default: 8192). |
| `--cache-dir` | Directory containing the `locations.json` file. |
## Building
### Requirements
- C++23 compiler (GCC 13+ / Clang 16+)
- CMake 3.20+
- Boost (JSON, Program_options), libcurl
- CUDA Toolkit 12.x (optional for GPU)
### Steps
```bash
mkdir build && cd build
cmake ..
cmake --build . -j$(nproc)
```

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#ifndef BIERGARTEN_PIPELINE_BIERGARTEN_DATA_GENERATOR_H_
#define BIERGARTEN_PIPELINE_BIERGARTEN_DATA_GENERATOR_H_
#include <memory>
#include <string>
#include <vector>
#include "data_generation/data_generator.h"
#include "models/location.h"
#include "web_client/web_client.h"
#include "wikipedia/wikipedia_service.h"
/**
* @brief Program options for the Biergarten pipeline application.
*/
struct ApplicationOptions {
/// @brief Path to the LLM model file (gguf format); mutually exclusive with
/// use_mocked.
std::string model_path;
/// @brief Use mocked generator instead of LLM; mutually exclusive with
/// model_path.
bool use_mocked = false;
/// @brief Directory for cached JSON and database files.
std::string cache_dir;
/// @brief LLM sampling temperature (0.0 to 1.0, higher = more random).
float temperature = 0.8f;
/// @brief LLM nucleus sampling top-p parameter (0.0 to 1.0, higher = more
/// random).
float top_p = 0.92f;
/// @brief Context window size (tokens) for LLM inference. Higher values
/// support longer prompts but use more memory.
uint32_t n_ctx = 2048;
/// @brief Random seed for sampling (-1 for random, otherwise non-negative).
int seed = -1;
/// @brief Git commit hash for database consistency (always pinned to
/// c5eb7772).
std::string commit = "c5eb7772";
};
/**
* @brief Main data generator class for the Biergarten pipeline.
*
* This class encapsulates the core logic for generating brewery data.
* It handles location loading, city enrichment, and brewery generation.
*/
class BiergartenDataGenerator {
public:
/**
* @brief Construct a BiergartenDataGenerator with injected dependencies.
*
* @param options Application configuration options.
* @param web_client HTTP client for downloading data.
*/
BiergartenDataGenerator(const ApplicationOptions& options,
std::shared_ptr<WebClient> web_client);
/**
* @brief Run the data generation pipeline.
*
* Performs the following steps:
* 1. Load curated locations from JSON
* 2. Initialize the generator (LLM or Mock)
* 3. Generate brewery data for sampled cities
*
* @return 0 on success, 1 on failure.
*/
int Run();
private:
/// @brief Immutable application options.
const ApplicationOptions options_;
/// @brief Shared HTTP client dependency.
std::shared_ptr<WebClient> webClient_;
/**
* @brief Enriched city data with Wikipedia context.
*/
struct EnrichedCity {
Location location;
std::string region_context;
};
/**
* @brief Initialize the data generator based on options.
*
* Creates either a MockGenerator (if no model path) or LlamaGenerator.
*
* @return A unique_ptr to the initialized generator.
*/
std::unique_ptr<DataGenerator> InitializeGenerator();
/**
* @brief Load locations from JSON and sample cities.
*
* @return Vector of sampled locations capped at 30 entries.
*/
std::vector<Location> QueryCitiesWithCountries();
/**
* @brief Enrich cities with Wikipedia summaries.
*
* @param cities Vector of sampled locations.
* @return Vector of enriched city data with context.
*/
std::vector<EnrichedCity> EnrichWithWikipedia(
const std::vector<Location>& cities);
/**
* @brief Generate breweries for enriched cities.
*
* @param generator The data generator instance.
* @param cities Vector of enriched city data.
*/
void GenerateBreweries(DataGenerator& generator,
const std::vector<EnrichedCity>& cities);
/**
* @brief Log the generated brewery results.
*/
void LogResults() const;
/**
* @brief Helper struct to store generated brewery data.
*/
struct GeneratedBrewery {
Location location;
BreweryResult brewery;
};
/// @brief Stores generated brewery data.
std::vector<GeneratedBrewery> generatedBreweries_;
};
#endif // BIERGARTEN_PIPELINE_BIERGARTEN_DATA_GENERATOR_H_

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@@ -0,0 +1,29 @@
#ifndef BIERGARTEN_PIPELINE_DATA_GENERATION_DATA_GENERATOR_H_
#define BIERGARTEN_PIPELINE_DATA_GENERATION_DATA_GENERATOR_H_
#include <string>
struct BreweryResult {
std::string name;
std::string description;
};
struct UserResult {
std::string username;
std::string bio;
};
class DataGenerator {
public:
virtual ~DataGenerator() = default;
virtual void Load(const std::string& model_path) = 0;
virtual BreweryResult GenerateBrewery(const std::string& city_name,
const std::string& country_name,
const std::string& region_context) = 0;
virtual UserResult GenerateUser(const std::string& locale) = 0;
};
#endif // BIERGARTEN_PIPELINE_DATA_GENERATION_DATA_GENERATOR_H_

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@@ -0,0 +1,51 @@
#ifndef BIERGARTEN_PIPELINE_DATA_GENERATION_LLAMA_GENERATOR_H_
#define BIERGARTEN_PIPELINE_DATA_GENERATION_LLAMA_GENERATOR_H_
#include <cstdint>
#include <string>
#include "data_generation/data_generator.h"
struct llama_model;
struct llama_context;
class LlamaGenerator final : public DataGenerator {
public:
LlamaGenerator() = default;
~LlamaGenerator() override;
void SetSamplingOptions(float temperature, float top_p, int seed = -1);
void SetContextSize(uint32_t n_ctx);
void Load(const std::string& model_path) override;
BreweryResult GenerateBrewery(const std::string& city_name,
const std::string& country_name,
const std::string& region_context) override;
UserResult GenerateUser(const std::string& locale) override;
private:
std::string Infer(const std::string& prompt, int max_tokens = 10000);
// Overload that allows passing a system message separately so chat-capable
// models receive a proper system role instead of having the system text
// concatenated into the user prompt (helps avoid revealing internal
// reasoning or instructions in model output).
std::string Infer(const std::string& system_prompt,
const std::string& prompt, int max_tokens = 10000);
std::string InferFormatted(const std::string& formatted_prompt,
int max_tokens = 10000);
std::string LoadBrewerySystemPrompt(const std::string& prompt_file_path);
std::string GetFallbackBreweryPrompt();
llama_model* model_ = nullptr;
llama_context* context_ = nullptr;
float sampling_temperature_ = 0.8f;
float sampling_top_p_ = 0.92f;
uint32_t sampling_seed_ = 0xFFFFFFFFu;
uint32_t n_ctx_ = 8192;
std::string brewery_system_prompt_;
};
#endif // BIERGARTEN_PIPELINE_DATA_GENERATION_LLAMA_GENERATOR_H_

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@@ -0,0 +1,32 @@
#ifndef BIERGARTEN_PIPELINE_DATA_GENERATION_LLAMA_GENERATOR_HELPERS_H_
#define BIERGARTEN_PIPELINE_DATA_GENERATION_LLAMA_GENERATOR_HELPERS_H_
#include <string>
#include <utility>
struct llama_model;
struct llama_vocab;
typedef int llama_token;
// Helper functions for LlamaGenerator methods
std::string PrepareRegionContextPublic(std::string_view region_context,
std::size_t max_chars = 700);
std::pair<std::string, std::string> ParseTwoLineResponsePublic(
const std::string& raw, const std::string& error_message);
std::string ToChatPromptPublic(const llama_model* model,
const std::string& user_prompt);
std::string ToChatPromptPublic(const llama_model* model,
const std::string& system_prompt,
const std::string& user_prompt);
void AppendTokenPiecePublic(const llama_vocab* vocab, llama_token token,
std::string& output);
std::string ValidateBreweryJsonPublic(const std::string& raw,
std::string& name_out,
std::string& description_out);
#endif // BIERGARTEN_PIPELINE_DATA_GENERATION_LLAMA_GENERATOR_HELPERS_H_

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@@ -0,0 +1,28 @@
#ifndef BIERGARTEN_PIPELINE_DATA_GENERATION_MOCK_GENERATOR_H_
#define BIERGARTEN_PIPELINE_DATA_GENERATION_MOCK_GENERATOR_H_
#include <string>
#include <vector>
#include "data_generation/data_generator.h"
class MockGenerator final : public DataGenerator {
public:
void Load(const std::string& model_path) override;
BreweryResult GenerateBrewery(const std::string& city_name,
const std::string& country_name,
const std::string& region_context) override;
UserResult GenerateUser(const std::string& locale) override;
private:
static std::size_t DeterministicHash(const std::string& a,
const std::string& b);
static const std::vector<std::string> kBreweryAdjectives;
static const std::vector<std::string> kBreweryNouns;
static const std::vector<std::string> kBreweryDescriptions;
static const std::vector<std::string> kUsernames;
static const std::vector<std::string> kBios;
};
#endif // BIERGARTEN_PIPELINE_DATA_GENERATION_MOCK_GENERATOR_H_

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@@ -0,0 +1,16 @@
#ifndef BIERGARTEN_PIPELINE_JSON_HANDLING_JSON_LOADER_H_
#define BIERGARTEN_PIPELINE_JSON_HANDLING_JSON_LOADER_H_
#include <string>
#include <vector>
#include "models/location.h"
/// @brief Loads curated world locations from a JSON file into memory.
class JsonLoader {
public:
/// @brief Parses a JSON array file and returns all location records.
static std::vector<Location> LoadLocations(const std::string& filepath);
};
#endif // BIERGARTEN_PIPELINE_JSON_HANDLING_JSON_LOADER_H_

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@@ -0,0 +1,30 @@
#ifndef BIERGARTEN_PIPELINE_WEB_CLIENT_CURL_WEB_CLIENT_H_
#define BIERGARTEN_PIPELINE_WEB_CLIENT_CURL_WEB_CLIENT_H_
#include <memory>
#include "web_client/web_client.h"
// RAII for curl_global_init/cleanup.
// An instance of this class should be created in main() before any curl
// operations and exist for the lifetime of the application.
class CurlGlobalState {
public:
CurlGlobalState();
~CurlGlobalState();
CurlGlobalState(const CurlGlobalState&) = delete;
CurlGlobalState& operator=(const CurlGlobalState&) = delete;
};
class CURLWebClient : public WebClient {
public:
CURLWebClient();
~CURLWebClient() override;
void DownloadToFile(const std::string& url,
const std::string& file_path) override;
std::string Get(const std::string& url) override;
std::string UrlEncode(const std::string& value) override;
};
#endif // BIERGARTEN_PIPELINE_WEB_CLIENT_CURL_WEB_CLIENT_H_

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@@ -0,0 +1,22 @@
#ifndef BIERGARTEN_PIPELINE_WEB_CLIENT_WEB_CLIENT_H_
#define BIERGARTEN_PIPELINE_WEB_CLIENT_WEB_CLIENT_H_
#include <string>
class WebClient {
public:
virtual ~WebClient() = default;
// Downloads content from a URL to a file. Throws on error.
virtual void DownloadToFile(const std::string& url,
const std::string& file_path) = 0;
// Performs a GET request and returns the response body as a string. Throws
// on error.
virtual std::string Get(const std::string& url) = 0;
// URL-encodes a string.
virtual std::string UrlEncode(const std::string& value) = 0;
};
#endif // BIERGARTEN_PIPELINE_WEB_CLIENT_WEB_CLIENT_H_

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@@ -0,0 +1,27 @@
#ifndef BIERGARTEN_PIPELINE_WIKIPEDIA_WIKIPEDIA_SERVICE_H_
#define BIERGARTEN_PIPELINE_WIKIPEDIA_WIKIPEDIA_SERVICE_H_
#include <memory>
#include <string>
#include <string_view>
#include <unordered_map>
#include "web_client/web_client.h"
/// @brief Provides cached Wikipedia summary lookups for city and country pairs.
class WikipediaService {
public:
/// @brief Creates a new Wikipedia service with the provided web client.
explicit WikipediaService(std::shared_ptr<WebClient> client);
/// @brief Returns the Wikipedia summary extract for city and country.
[[nodiscard]] std::string GetSummary(std::string_view city,
std::string_view country);
private:
std::string FetchExtract(std::string_view query);
std::shared_ptr<WebClient> client_;
std::unordered_map<std::string, std::string> cache_;
};
#endif // BIERGARTEN_PIPELINE_WIKIPEDIA_WIKIPEDIA_SERVICE_H_

View File

@@ -6,8 +6,7 @@
"country": "South Africa",
"iso3166_1": "ZA",
"latitude": -33.9249,
"longitude": 18.4241,
"local_languages": ["af", "en", "xh"]
"longitude": 18.4241
},
{
"city": "Johannesburg",
@@ -16,8 +15,7 @@
"country": "South Africa",
"iso3166_1": "ZA",
"latitude": -26.2041,
"longitude": 28.0473,
"local_languages": ["en", "zu", "st", "af"]
"longitude": 28.0473
},
{
"city": "Durban",
@@ -26,8 +24,7 @@
"country": "South Africa",
"iso3166_1": "ZA",
"latitude": -29.8587,
"longitude": 31.0218,
"local_languages": ["zu", "en"]
"longitude": 31.0218
},
{
"city": "Franschhoek",
@@ -36,8 +33,7 @@
"country": "South Africa",
"iso3166_1": "ZA",
"latitude": -33.9146,
"longitude": 19.1198,
"local_languages": ["af", "en"]
"longitude": 19.1198
},
{
"city": "Nairobi",
@@ -46,8 +42,7 @@
"country": "Kenya",
"iso3166_1": "KE",
"latitude": -1.2921,
"longitude": 36.8219,
"local_languages": ["sw", "en"]
"longitude": 36.8219
},
{
"city": "Buenos Aires",
@@ -56,8 +51,7 @@
"country": "Argentina",
"iso3166_1": "AR",
"latitude": -34.6037,
"longitude": -58.3816,
"local_languages": ["es-AR"]
"longitude": -58.3816
},
{
"city": "Bariloche",
@@ -66,8 +60,7 @@
"country": "Argentina",
"iso3166_1": "AR",
"latitude": -41.1335,
"longitude": -71.3103,
"local_languages": ["es-AR"]
"longitude": -71.3103
},
{
"city": "Bogotá",
@@ -76,8 +69,7 @@
"country": "Colombia",
"iso3166_1": "CO",
"latitude": 4.711,
"longitude": -74.0721,
"local_languages": ["es-CO"]
"longitude": -74.0721
},
{
"city": "Medellín",
@@ -86,8 +78,7 @@
"country": "Colombia",
"iso3166_1": "CO",
"latitude": 6.2442,
"longitude": -75.5812,
"local_languages": ["es-CO"]
"longitude": -75.5812
},
{
"city": "São Paulo",
@@ -96,8 +87,7 @@
"country": "Brazil",
"iso3166_1": "BR",
"latitude": -23.5505,
"longitude": -46.6333,
"local_languages": ["pt-BR"]
"longitude": -46.6333
},
{
"city": "Curitiba",
@@ -106,8 +96,7 @@
"country": "Brazil",
"iso3166_1": "BR",
"latitude": -25.4284,
"longitude": -49.2733,
"local_languages": ["pt-BR"]
"longitude": -49.2733
},
{
"city": "Rio de Janeiro",
@@ -116,8 +105,7 @@
"country": "Brazil",
"iso3166_1": "BR",
"latitude": -22.9068,
"longitude": -43.1729,
"local_languages": ["pt-BR"]
"longitude": -43.1729
},
{
"city": "Santiago",
@@ -126,8 +114,7 @@
"country": "Chile",
"iso3166_1": "CL",
"latitude": -33.4489,
"longitude": -70.6693,
"local_languages": ["es-CL"]
"longitude": -70.6693
},
{
"city": "Valdivia",
@@ -136,8 +123,7 @@
"country": "Chile",
"iso3166_1": "CL",
"latitude": -39.8142,
"longitude": -73.2459,
"local_languages": ["es-CL"]
"longitude": -73.2459
},
{
"city": "Lima",
@@ -146,8 +132,7 @@
"country": "Peru",
"iso3166_1": "PE",
"latitude": -12.0464,
"longitude": -77.0428,
"local_languages": ["es-PE"]
"longitude": -77.0428
},
{
"city": "Tokyo",
@@ -156,8 +141,7 @@
"country": "Japan",
"iso3166_1": "JP",
"latitude": 35.6762,
"longitude": 139.6503,
"local_languages": ["ja"]
"longitude": 139.6503
},
{
"city": "Osaka",
@@ -166,8 +150,7 @@
"country": "Japan",
"iso3166_1": "JP",
"latitude": 34.6937,
"longitude": 135.5023,
"local_languages": ["ja"]
"longitude": 135.5023
},
{
"city": "Kyoto",
@@ -176,8 +159,7 @@
"country": "Japan",
"iso3166_1": "JP",
"latitude": 35.0116,
"longitude": 135.7681,
"local_languages": ["ja"]
"longitude": 135.7681
},
{
"city": "Sapporo",
@@ -186,8 +168,7 @@
"country": "Japan",
"iso3166_1": "JP",
"latitude": 43.0618,
"longitude": 141.3545,
"local_languages": ["ja"]
"longitude": 141.3545
},
{
"city": "Seoul",
@@ -196,8 +177,7 @@
"country": "South Korea",
"iso3166_1": "KR",
"latitude": 37.5665,
"longitude": 126.978,
"local_languages": ["ko"]
"longitude": 126.978
},
{
"city": "Busan",
@@ -206,8 +186,7 @@
"country": "South Korea",
"iso3166_1": "KR",
"latitude": 35.1796,
"longitude": 129.0756,
"local_languages": ["ko"]
"longitude": 129.0756
},
{
"city": "Ho Chi Minh City",
@@ -216,8 +195,7 @@
"country": "Vietnam",
"iso3166_1": "VN",
"latitude": 10.8231,
"longitude": 106.6297,
"local_languages": ["vi"]
"longitude": 106.6297
},
{
"city": "Hanoi",
@@ -226,8 +204,7 @@
"country": "Vietnam",
"iso3166_1": "VN",
"latitude": 21.0285,
"longitude": 105.8542,
"local_languages": ["vi"]
"longitude": 105.8542
},
{
"city": "Da Nang",
@@ -236,8 +213,7 @@
"country": "Vietnam",
"iso3166_1": "VN",
"latitude": 16.0544,
"longitude": 108.2022,
"local_languages": ["vi"]
"longitude": 108.2022
},
{
"city": "Bangkok",
@@ -246,8 +222,7 @@
"country": "Thailand",
"iso3166_1": "TH",
"latitude": 13.7563,
"longitude": 100.5018,
"local_languages": ["th"]
"longitude": 100.5018
},
{
"city": "Taipei",
@@ -256,8 +231,7 @@
"country": "Taiwan",
"iso3166_1": "TW",
"latitude": 25.033,
"longitude": 121.5654,
"local_languages": ["zh-TW"]
"longitude": 121.5654
},
{
"city": "Beijing",
@@ -266,8 +240,7 @@
"country": "China",
"iso3166_1": "CN",
"latitude": 39.9042,
"longitude": 116.4074,
"local_languages": ["zh-CN"]
"longitude": 116.4074
},
{
"city": "Shanghai",
@@ -276,8 +249,7 @@
"country": "China",
"iso3166_1": "CN",
"latitude": 31.2304,
"longitude": 121.4737,
"local_languages": ["zh-CN"]
"longitude": 121.4737
},
{
"city": "Bengaluru",
@@ -286,8 +258,7 @@
"country": "India",
"iso3166_1": "IN",
"latitude": 12.9716,
"longitude": 77.5946,
"local_languages": ["kn", "en"]
"longitude": 77.5946
},
{
"city": "Singapore",
@@ -296,8 +267,7 @@
"country": "Singapore",
"iso3166_1": "SG",
"latitude": 1.3521,
"longitude": 103.8198,
"local_languages": ["en", "zh", "ms", "ta"]
"longitude": 103.8198
},
{
"city": "Melbourne",
@@ -306,8 +276,7 @@
"country": "Australia",
"iso3166_1": "AU",
"latitude": -37.8136,
"longitude": 144.9631,
"local_languages": ["en-AU"]
"longitude": 144.9631
},
{
"city": "Sydney",
@@ -316,8 +285,7 @@
"country": "Australia",
"iso3166_1": "AU",
"latitude": -33.8688,
"longitude": 151.2093,
"local_languages": ["en-AU"]
"longitude": 151.2093
},
{
"city": "Brisbane",
@@ -326,8 +294,7 @@
"country": "Australia",
"iso3166_1": "AU",
"latitude": -27.4705,
"longitude": 153.026,
"local_languages": ["en-AU"]
"longitude": 153.026
},
{
"city": "Adelaide",
@@ -336,8 +303,7 @@
"country": "Australia",
"iso3166_1": "AU",
"latitude": -34.9285,
"longitude": 138.6007,
"local_languages": ["en-AU"]
"longitude": 138.6007
},
{
"city": "Perth",
@@ -346,8 +312,7 @@
"country": "Australia",
"iso3166_1": "AU",
"latitude": -31.9505,
"longitude": 115.8605,
"local_languages": ["en-AU"]
"longitude": 115.8605
},
{
"city": "Hobart",
@@ -356,8 +321,7 @@
"country": "Australia",
"iso3166_1": "AU",
"latitude": -42.8821,
"longitude": 147.3272,
"local_languages": ["en-AU"]
"longitude": 147.3272
},
{
"city": "Wellington",
@@ -366,8 +330,7 @@
"country": "New Zealand",
"iso3166_1": "NZ",
"latitude": -41.2865,
"longitude": 174.7762,
"local_languages": ["en", "mi"]
"longitude": 174.7762
},
{
"city": "Auckland",
@@ -376,8 +339,7 @@
"country": "New Zealand",
"iso3166_1": "NZ",
"latitude": -36.8485,
"longitude": 174.7633,
"local_languages": ["en", "mi"]
"longitude": 174.7633
},
{
"city": "Christchurch",
@@ -386,8 +348,7 @@
"country": "New Zealand",
"iso3166_1": "NZ",
"latitude": -43.532,
"longitude": 172.6306,
"local_languages": ["en", "mi"]
"longitude": 172.6306
},
{
"city": "Nelson",
@@ -396,8 +357,7 @@
"country": "New Zealand",
"iso3166_1": "NZ",
"latitude": -41.2706,
"longitude": 173.284,
"local_languages": ["en", "mi"]
"longitude": 173.284
},
{
"city": "Munich",
@@ -406,8 +366,7 @@
"country": "Germany",
"iso3166_1": "DE",
"latitude": 48.1351,
"longitude": 11.582,
"local_languages": ["de"]
"longitude": 11.582
},
{
"city": "Berlin",
@@ -416,8 +375,7 @@
"country": "Germany",
"iso3166_1": "DE",
"latitude": 52.52,
"longitude": 13.405,
"local_languages": ["de"]
"longitude": 13.405
},
{
"city": "Cologne",
@@ -426,8 +384,7 @@
"country": "Germany",
"iso3166_1": "DE",
"latitude": 50.9375,
"longitude": 6.9603,
"local_languages": ["de"]
"longitude": 6.9603
},
{
"city": "Bamberg",
@@ -436,8 +393,7 @@
"country": "Germany",
"iso3166_1": "DE",
"latitude": 49.8916,
"longitude": 10.8916,
"local_languages": ["de"]
"longitude": 10.8916
},
{
"city": "Brussels",
@@ -446,8 +402,7 @@
"country": "Belgium",
"iso3166_1": "BE",
"latitude": 50.8503,
"longitude": 4.3517,
"local_languages": ["fr", "nl"]
"longitude": 4.3517
},
{
"city": "Antwerp",
@@ -456,8 +411,7 @@
"country": "Belgium",
"iso3166_1": "BE",
"latitude": 51.2194,
"longitude": 4.4025,
"local_languages": ["nl"]
"longitude": 4.4025
},
{
"city": "Bruges",
@@ -466,8 +420,7 @@
"country": "Belgium",
"iso3166_1": "BE",
"latitude": 51.2093,
"longitude": 3.2247,
"local_languages": ["nl"]
"longitude": 3.2247
},
{
"city": "London",
@@ -476,8 +429,7 @@
"country": "United Kingdom",
"iso3166_1": "GB",
"latitude": 51.5074,
"longitude": -0.1278,
"local_languages": ["en-GB"]
"longitude": -0.1278
},
{
"city": "Bristol",
@@ -486,8 +438,7 @@
"country": "United Kingdom",
"iso3166_1": "GB",
"latitude": 51.4545,
"longitude": -2.5879,
"local_languages": ["en-GB"]
"longitude": -2.5879
},
{
"city": "Edinburgh",
@@ -496,8 +447,7 @@
"country": "United Kingdom",
"iso3166_1": "GB",
"latitude": 55.9533,
"longitude": -3.1883,
"local_languages": ["en-GB", "gd"]
"longitude": -3.1883
},
{
"city": "Glasgow",
@@ -506,8 +456,7 @@
"country": "United Kingdom",
"iso3166_1": "GB",
"latitude": 55.8642,
"longitude": -4.2518,
"local_languages": ["en-GB", "gd"]
"longitude": -4.2518
},
{
"city": "Prague",
@@ -516,8 +465,7 @@
"country": "Czechia",
"iso3166_1": "CZ",
"latitude": 50.0755,
"longitude": 14.4378,
"local_languages": ["cs"]
"longitude": 14.4378
},
{
"city": "Pilsen",
@@ -526,8 +474,7 @@
"country": "Czechia",
"iso3166_1": "CZ",
"latitude": 49.7384,
"longitude": 13.3736,
"local_languages": ["cs"]
"longitude": 13.3736
},
{
"city": "Amsterdam",
@@ -536,8 +483,7 @@
"country": "Netherlands",
"iso3166_1": "NL",
"latitude": 52.3676,
"longitude": 4.9041,
"local_languages": ["nl"]
"longitude": 4.9041
},
{
"city": "Copenhagen",
@@ -546,8 +492,7 @@
"country": "Denmark",
"iso3166_1": "DK",
"latitude": 55.6761,
"longitude": 12.5683,
"local_languages": ["da"]
"longitude": 12.5683
},
{
"city": "Warsaw",
@@ -556,8 +501,7 @@
"country": "Poland",
"iso3166_1": "PL",
"latitude": 52.2297,
"longitude": 21.0122,
"local_languages": ["pl"]
"longitude": 21.0122
},
{
"city": "Krakow",
@@ -566,8 +510,7 @@
"country": "Poland",
"iso3166_1": "PL",
"latitude": 50.0647,
"longitude": 19.945,
"local_languages": ["pl"]
"longitude": 19.945
},
{
"city": "Rome",
@@ -576,8 +519,7 @@
"country": "Italy",
"iso3166_1": "IT",
"latitude": 41.9028,
"longitude": 12.4964,
"local_languages": ["it"]
"longitude": 12.4964
},
{
"city": "Milan",
@@ -586,8 +528,7 @@
"country": "Italy",
"iso3166_1": "IT",
"latitude": 45.4642,
"longitude": 9.19,
"local_languages": ["it"]
"longitude": 9.19
},
{
"city": "Barcelona",
@@ -596,8 +537,7 @@
"country": "Spain",
"iso3166_1": "ES",
"latitude": 41.3851,
"longitude": 2.1734,
"local_languages": ["ca", "es"]
"longitude": 2.1734
},
{
"city": "Madrid",
@@ -606,8 +546,7 @@
"country": "Spain",
"iso3166_1": "ES",
"latitude": 40.4168,
"longitude": -3.7038,
"local_languages": ["es"]
"longitude": -3.7038
},
{
"city": "Paris",
@@ -616,8 +555,7 @@
"country": "France",
"iso3166_1": "FR",
"latitude": 48.8566,
"longitude": 2.3522,
"local_languages": ["fr"]
"longitude": 2.3522
},
{
"city": "Lyon",
@@ -626,8 +564,7 @@
"country": "France",
"iso3166_1": "FR",
"latitude": 45.764,
"longitude": 4.8357,
"local_languages": ["fr"]
"longitude": 4.8357
},
{
"city": "Stockholm",
@@ -636,8 +573,7 @@
"country": "Sweden",
"iso3166_1": "SE",
"latitude": 59.3293,
"longitude": 18.0686,
"local_languages": ["sv"]
"longitude": 18.0686
},
{
"city": "Gothenburg",
@@ -646,8 +582,7 @@
"country": "Sweden",
"iso3166_1": "SE",
"latitude": 57.7089,
"longitude": 11.9746,
"local_languages": ["sv"]
"longitude": 11.9746
},
{
"city": "Oslo",
@@ -656,8 +591,7 @@
"country": "Norway",
"iso3166_1": "NO",
"latitude": 59.9139,
"longitude": 10.7522,
"local_languages": ["no"]
"longitude": 10.7522
},
{
"city": "Dublin",
@@ -666,8 +600,7 @@
"country": "Ireland",
"iso3166_1": "IE",
"latitude": 53.3498,
"longitude": -6.2603,
"local_languages": ["en", "ga"]
"longitude": -6.2603
},
{
"city": "Vienna",
@@ -676,8 +609,7 @@
"country": "Austria",
"iso3166_1": "AT",
"latitude": 48.2082,
"longitude": 16.3738,
"local_languages": ["de-AT"]
"longitude": 16.3738
},
{
"city": "Zurich",
@@ -686,8 +618,7 @@
"country": "Switzerland",
"iso3166_1": "CH",
"latitude": 47.3769,
"longitude": 8.5417,
"local_languages": ["de-CH"]
"longitude": 8.5417
},
{
"city": "Tallinn",
@@ -696,8 +627,7 @@
"country": "Estonia",
"iso3166_1": "EE",
"latitude": 59.437,
"longitude": 24.7536,
"local_languages": ["et"]
"longitude": 24.7536
},
{
"city": "Denver",
@@ -706,8 +636,7 @@
"country": "United States",
"iso3166_1": "US",
"latitude": 39.7392,
"longitude": -104.9903,
"local_languages": ["en-US"]
"longitude": -104.9903
},
{
"city": "Portland",
@@ -716,8 +645,7 @@
"country": "United States",
"iso3166_1": "US",
"latitude": 45.5152,
"longitude": -122.6784,
"local_languages": ["en-US"]
"longitude": -122.6784
},
{
"city": "San Diego",
@@ -726,8 +654,7 @@
"country": "United States",
"iso3166_1": "US",
"latitude": 32.7157,
"longitude": -117.1611,
"local_languages": ["en-US", "es-US"]
"longitude": -117.1611
},
{
"city": "Asheville",
@@ -736,8 +663,7 @@
"country": "United States",
"iso3166_1": "US",
"latitude": 35.5951,
"longitude": -82.5515,
"local_languages": ["en-US"]
"longitude": -82.5515
},
{
"city": "Grand Rapids",
@@ -746,8 +672,7 @@
"country": "United States",
"iso3166_1": "US",
"latitude": 42.9634,
"longitude": -85.6681,
"local_languages": ["en-US"]
"longitude": -85.6681
},
{
"city": "Chicago",
@@ -756,8 +681,7 @@
"country": "United States",
"iso3166_1": "US",
"latitude": 41.8781,
"longitude": -87.6298,
"local_languages": ["en-US", "es-US"]
"longitude": -87.6298
},
{
"city": "Seattle",
@@ -766,8 +690,7 @@
"country": "United States",
"iso3166_1": "US",
"latitude": 47.6062,
"longitude": -122.3321,
"local_languages": ["en-US"]
"longitude": -122.3321
},
{
"city": "Austin",
@@ -776,8 +699,7 @@
"country": "United States",
"iso3166_1": "US",
"latitude": 30.2672,
"longitude": -97.7431,
"local_languages": ["en-US", "es-US"]
"longitude": -97.7431
},
{
"city": "Boston",
@@ -786,8 +708,7 @@
"country": "United States",
"iso3166_1": "US",
"latitude": 42.3601,
"longitude": -71.0589,
"local_languages": ["en-US"]
"longitude": -71.0589
},
{
"city": "Philadelphia",
@@ -796,8 +717,7 @@
"country": "United States",
"iso3166_1": "US",
"latitude": 39.9526,
"longitude": -75.1652,
"local_languages": ["en-US"]
"longitude": -75.1652
},
{
"city": "Brooklyn",
@@ -806,8 +726,7 @@
"country": "United States",
"iso3166_1": "US",
"latitude": 40.6782,
"longitude": -73.9442,
"local_languages": ["en-US", "es-US"]
"longitude": -73.9442
},
{
"city": "Milwaukee",
@@ -816,8 +735,7 @@
"country": "United States",
"iso3166_1": "US",
"latitude": 43.0389,
"longitude": -87.9065,
"local_languages": ["en-US"]
"longitude": -87.9065
},
{
"city": "Richmond",
@@ -826,8 +744,7 @@
"country": "United States",
"iso3166_1": "US",
"latitude": 37.5407,
"longitude": -77.436,
"local_languages": ["en-US"]
"longitude": -77.436
},
{
"city": "Cincinnati",
@@ -836,8 +753,7 @@
"country": "United States",
"iso3166_1": "US",
"latitude": 39.1031,
"longitude": -84.512,
"local_languages": ["en-US"]
"longitude": -84.512
},
{
"city": "St. Louis",
@@ -846,8 +762,7 @@
"country": "United States",
"iso3166_1": "US",
"latitude": 38.627,
"longitude": -90.1994,
"local_languages": ["en-US"]
"longitude": -90.1994
},
{
"city": "Tampa",
@@ -856,8 +771,7 @@
"country": "United States",
"iso3166_1": "US",
"latitude": 27.9506,
"longitude": -82.4572,
"local_languages": ["en-US", "es-US"]
"longitude": -82.4572
},
{
"city": "Minneapolis",
@@ -866,8 +780,7 @@
"country": "United States",
"iso3166_1": "US",
"latitude": 44.9778,
"longitude": -93.265,
"local_languages": ["en-US"]
"longitude": -93.265
},
{
"city": "Burlington",
@@ -876,8 +789,7 @@
"country": "United States",
"iso3166_1": "US",
"latitude": 44.4759,
"longitude": -73.2121,
"local_languages": ["en-US"]
"longitude": -73.2121
},
{
"city": "Portland",
@@ -886,8 +798,7 @@
"country": "United States",
"iso3166_1": "US",
"latitude": 43.6591,
"longitude": -70.2568,
"local_languages": ["en-US"]
"longitude": -70.2568
},
{
"city": "Atlanta",
@@ -896,8 +807,7 @@
"country": "United States",
"iso3166_1": "US",
"latitude": 33.749,
"longitude": -84.388,
"local_languages": ["en-US"]
"longitude": -84.388
},
{
"city": "Toronto",
@@ -906,8 +816,7 @@
"country": "Canada",
"iso3166_1": "CA",
"latitude": 43.651,
"longitude": -79.347,
"local_languages": ["en-CA"]
"longitude": -79.347
},
{
"city": "Vancouver",
@@ -916,8 +825,7 @@
"country": "Canada",
"iso3166_1": "CA",
"latitude": 49.2827,
"longitude": -123.1207,
"local_languages": ["en-CA"]
"longitude": -123.1207
},
{
"city": "Montreal",
@@ -926,8 +834,7 @@
"country": "Canada",
"iso3166_1": "CA",
"latitude": 45.5017,
"longitude": -73.5673,
"local_languages": ["fr-CA", "en-CA"]
"longitude": -73.5673
},
{
"city": "Calgary",
@@ -936,8 +843,7 @@
"country": "Canada",
"iso3166_1": "CA",
"latitude": 51.0447,
"longitude": -114.0719,
"local_languages": ["en-CA"]
"longitude": -114.0719
},
{
"city": "Halifax",
@@ -946,8 +852,7 @@
"country": "Canada",
"iso3166_1": "CA",
"latitude": 44.6488,
"longitude": -63.5752,
"local_languages": ["en-CA"]
"longitude": -63.5752
},
{
"city": "Mexico City",
@@ -956,8 +861,7 @@
"country": "Mexico",
"iso3166_1": "MX",
"latitude": 19.4326,
"longitude": -99.1332,
"local_languages": ["es-MX"]
"longitude": -99.1332
},
{
"city": "Tijuana",
@@ -966,8 +870,7 @@
"country": "Mexico",
"iso3166_1": "MX",
"latitude": 32.5149,
"longitude": -117.0382,
"local_languages": ["es-MX"]
"longitude": -117.0382
},
{
"city": "Monterrey",
@@ -976,8 +879,7 @@
"country": "Mexico",
"iso3166_1": "MX",
"latitude": 25.6866,
"longitude": -100.3161,
"local_languages": ["es-MX"]
"longitude": -100.3161
},
{
"city": "Guadalajara",
@@ -986,8 +888,7 @@
"country": "Mexico",
"iso3166_1": "MX",
"latitude": 20.6597,
"longitude": -103.3496,
"local_languages": ["es-MX"]
"longitude": -103.3496
},
{
"city": "Ensenada",
@@ -996,7 +897,6 @@
"country": "Mexico",
"iso3166_1": "MX",
"latitude": 31.8667,
"longitude": -116.5964,
"local_languages": ["es-MX"]
"longitude": -116.5964
}
]

View File

@@ -0,0 +1,425 @@
================================================================================
BREWERY DATA GENERATION - COMPREHENSIVE SYSTEM PROMPT
================================================================================
ROLE AND OBJECTIVE
You are an experienced brewmaster and owner of a local craft brewery. Your task
is to create a distinctive, authentic name and a detailed description for your
brewery that genuinely reflects your specific location, your brewing philosophy,
the local culture, and your connection to the community.
The brewery must feel real and grounded in its specific place—not generic or
interchangeable with breweries from other regions. Every detail should build
authenticity and distinctiveness.
================================================================================
FORBIDDEN PHRASES AND CLICHÉS
================================================================================
NEVER USE THESE OVERUSED CONSTRUCTIONS (even in modified form):
- "Love letter to" / "tribute to" / "ode to"
- "Rolling hills" / "picturesque landscape" / "scenic beauty"
- "Every sip tells a story" / "every pint tells a story" / "transporting you"
- "Come for X, stay for Y" formula (Come for beer, stay for...)
- "Rich history/traditions" / "storied past" / "storied brewing tradition"
- "Passion" as a generic descriptor ("crafted with passion", "our passion")
- "Woven into the fabric" / "echoes of" / "steeped in"
- "Ancient roots" / "timeless traditions" / "time-honored heritage"
- Opening ONLY with landscape/geography (no standalone "Nestled...", "Where...")
- "Where tradition meets innovation"
- "Celebrating the spirit of [place]"
- "Raised on the values of" / "rooted in the values of"
- "Taste of [place]" / "essence of [place]"
- "From our family to yours"
- "Brewing excellence" / "committed to excellence"
- "Bringing people together" (without showing HOW)
- "Honoring local heritage" (without specifics)
================================================================================
SEVEN OPENING APPROACHES - ROTATE BETWEEN THESE
================================================================================
1. BEER STYLE ORIGIN ANGLE
Start by identifying a specific beer style historically made in or
influenced by the region. Explain why THIS place inspired that style.
Example Foundation: "Belgian Trappist ales developed from monastic traditions
in the Ardennes; our brewery continues that contemplative approach..."
2. BREWING CHALLENGE / ADVANTAGE ANGLE
Begin with a specific environmental or geographic challenge that shapes
the brewery's approach. Water hardness, altitude, climate, ingredient scarcity.
Example Foundation: "High-altitude fermentation requires patience; at 1,500m,
our lagers need 8 weeks to develop the crisp finish..."
3. FOUNDING STORY / PERSONAL MOTIVATION
Open with why the founder started THIS brewery HERE. Personal history,
escape from corporate work, multi-generational family legacy, career change.
Example Foundation: "After 20 years in finance, I returned to my hometown to
revive my grandfather's closed brewery using his original recipe notes..."
4. SPECIFIC LOCAL INGREDIENT / RESOURCE
Lead with a unique input source: special water, rare hops grown locally,
grain from a specific mill, honey from local apiaries, barrel aging with
local wood.
Example Foundation: "The cold springs below Sniffels Peak provide water so soft
it inspired our signature pale lager..."
5. CONTRADICTION / UNEXPECTED ANGLE
Start with a surprising fact about the place that defies stereotype.
Example Foundation: "Nobody expects beer culture in a Muslim-majority city,
yet our secular neighborhood has deep roots in 1920s beer halls..."
6. LOCAL EVENT / CULTURAL MOMENT
Begin with a specific historical moment, festival, cultural practice, or
seasonal tradition in the place.
Example Foundation: "Every October, the hop harvest brings itinerant workers
and tradition. Our brewery grew from a harvest celebration in 2008..."
7. TANGIBLE PHYSICAL DETAIL
Open by describing a concrete architectural or geographic feature: building
age, material, location relative to notable structures, layout, history of
the space.
Example Foundation: "This 1887 mill house once crushed grain; the original
water wheel still runs below our fermentation room..."
================================================================================
SPECIFICITY AND CONCRETENESS REQUIREMENTS
================================================================================
DO NOT GENERALIZE. Every brewery description must include:
✓ At least ONE concrete proper noun or specific reference:
- Actual local landmarks (mountain name, river name, street, neighborhood)
- Specific business partner or supplier name (if real to the region)
- Named local cultural event or historical period
- Specific beer style(s) with regional significance
- Actual geographic feature (e.g., "the volcanic ash in our soil")
✓ Mention specific beer styles relevant to the region's culture:
- German Bavaria: Dunkelweizen, Märzen, Kellerbier, Helles
- Belgian/Flemish: Lambic, Trappist, Strong Dark Ale
- British Isles: Brown Ale, Real Ale, Bitter, Cask Ale
- Czech: Pilsner, Bohemian Lager
- IPA/Hoppy: American regions, UK (origin)
- New Zealand/Australia: Hop-forward, experimental
- Japanese: Clean lagers, sake influence
- Mexican: Lager-centric, sometimes citrus
✓ Name concrete brewing challenges or advantages:
Examples: water minerality, altitude, temperature swings, grain varieties,
humidity, wild yeasts in the region, traditional equipment preserved in place
✓ Use sensory language SPECIFIC to the place:
NOT: "beautiful views" → "the copper beech trees turn rust-colored by
September"
NOT: "charming" → "the original tile floor from 1924 still mosaic-patterns
the taproom"
NOT: "authentic" → "the water chiller uses the original 1950s ammonia system"
✓ Avoid describing multiple regions with the same adjectives:
Don't say every brewery is "cozy" or "vibrant" or "historic"—be specific
about WHAT makes this one different from others in different regions.
================================================================================
STRUCTURAL PATTERNS - MIX THESE UP
================================================================================
NOT every description should follow: legacy → current brewing → call to action
TEMPLATE ROTATION (these are EXAMPLES, not formulas):
TEMPLATE A: [Region origin] → [specific challenge] → [how we adapted] → [result]
"The Saône River flooded predictably each spring. Medieval brewers learned
to schedule production around it. We use the same seasonal rhythm..."
TEMPLATE B: [Ingredient story] → [technique developed because of it] → [distinctive result]
"Our barley terraces face southwest; the afternoon sun dries the crop weeks
before northern valleys. This inspired our crisp, mineral-forward pale ale..."
TEMPLATE C: [Personal/family history (without generic framing)] → [specific challenge overcome] → [philosophy]
"My mother was a chemist studying water quality; she noticed the local supply
had unusual pH. Rather than fight it, we formulated our entire range around
it. The sulfate content sharpens our bitters..."
TEMPLATE D: [Describe the physical space in detail] → [how space enables brewing style] → [sensory experience]
"The brewhouse occupies a converted 1960s chemical factory. The stainless steel
vats still bear faded original markings. The building's thermal mass keeps
fermentation stable without modern refrigeration..."
TEMPLATE E: [Unexpected contradiction] → [explanation] → [brewing philosophy]
"In a region famous for wine, we're a beer-only operation. We embrace that
outsider status and brew adventurously, avoiding the 'respect tradition'
pressure wine makes locals feel..."
TEMPLATE F: [Community role, specific] → [what that demands] → [brewing expression]
"We're the only gathering space in the village that stays open after 10pm.
That responsibility means brewing beers that pair with conversation, not
provocation. Sessionable, food-friendly, endlessly drinkable..."
TEMPLATE G: [Backward chronology] → [how practices persist] → [what's evolved]
"Our great-grandfather hand-packed bottles in 1952. We still own his bench.
Even though we use machines now, the pace he set—careful, thoughtful—shapes
every decision. Nothing about us is fast..."
SOMETIMES skip the narrative entirely and just describe:
"We brew four core beers—a dry lager, a copper ale, a wheat beer, and a hop-
forward pale. The range itself tells our story: accessible, varied,
unpretentious. No flagship. No hero beer. Balance."
================================================================================
REGIONAL AUTHENTICITY GUIDELINES
================================================================================
GERMAN / ALPINE / CENTRAL EUROPEAN
- Discuss water hardness and mineral content
- Reference specific beer laws (Reinheitsgebot, Bavarian purity traditions)
- Name specific styles: Kellerbier, Märzen, Dunkelweizen, Helles, Alt, Zwickel
- Mention lager fermentation dominance and cool-cave advantages
- Consider beer hall culture, tradition of communal spaces
- Discuss barrel aging if applicable
- Reference precision/engineering in brewing approach
- Don't romanticize; emphasis can be on technique and consistency
MEDITERRANEAN / SOUTHERN EUROPEAN
- Reference local wine culture (compare or contrast with brewing)
- Mention grape varieties if relevant (some regions have wine-brewery overlap)
- Discuss sun exposure, heat challenges during fermentation
- Ingredient sourcing: local herbs, citrus, wheat quality
- May emphasize Mediterranean sociability and gathering spaces
- Consider how northern European brewing tradition transplanted here
- Water source and quality specific to region
- Seasonal agricultural connections (harvest timing, etc.)
ANGLO-SAXON / BRITISH ISLES / SCANDINAVIAN
- Real ale, cask conditioning, hand-pulled pints
- IPA heritage (if British, England specifically; if American, different innovation story)
- Hops: specific varietal heritage (Fuggle, Golding, Cascade, etc.)
- Pub culture and community gathering
- Ales: top-fermented, warmer fermentation temperatures
- May emphasize working-class history or rural traditions
- Cider/mead/fermented heritage alongside beer
NEW WORLD (US, AUSTRALIA, NZ, SOUTH AFRICA)
- Emphasize experimentation and lack of brewing "rules"
- Ingredient sourcing: local grain growers, foraged hops, local suppliers
- May reference mining heritage, recent settlement, diverse immigration
- Craft beer boom influence: how does this brewery differentiate?
- Often: bold flavors, high ABVs, creative adjuncts
- Can emphasize anti-tradition or deliberate rule-breaking
- Emphasis on farmer partnerships and local food scenes
SMALL VILLAGES / RURAL AREAS
- Brewery likely serves as actual gathering place—explain HOW
- Ingredient sourcing highly local (grain from X farm, water from Y spring)
- May be family operation or multi-generation story
- Role in community identity and events
- Accessibility and lack of pretension
- Seasonal rhythm and agricultural calendar influence
- Risk: Don't make it overly quaint or "simpler times" nostalgic
URBAN / NEIGHBORHOOD-BASED
- Distinctive neighborhood identity (don't just say "vibrant")
- Specific business community or residential character
- Street-level visibility and casual drop-in culture
- May emphasize diversity, immigrant heritage, gentrification navigation
- Smaller brewing scale in dense area (space constraints)
- Walking-distance customer base instead of destination draw
- May have stronger food pairing focus (food truck culture, restaurant neighbors)
WINE REGIONS (Italy, France, Spain, Germany's Mosel, etc.)
- Show awareness of wine's prestige locally
- Explain why brewing exists here despite wine dominance
- Does brewery respect wine or deliberately provide alternative?
- Ingredient differences: water quality suited to beer, not wine
- Brewing approach: precise, clean—influenced by wine mentality
- May emphasize beer's sociability vs. wine's formality
- Historical context: beer predates or coexists with wine tradition
BEER-HERITAGE HOTSPOTS (Belgium, Germany, UK, Czech Republic)
- Can't ignore the weight of history without acknowledging it
- Do you innovate within tradition or break from it? Say which.
- Specific pride in one style over others (Lambic specialist, Trappist-inspired, etc.)
- May emphasize family legacy or generational knowledge
- Regional identity VERY strong—brewery reflects this unapologetically
- Risk: Avoid claiming to "honor" or "continue" without specifics
================================================================================
TONE VARIATIONS - NOT ALL BREWERIES ARE SOULFUL
================================================================================
These descriptions should NOT all sound romantic, quaint, or emotionally
passionate. These are alternative tones:
IRREVERENT / HUMOROUS
"We're brewing beer because wine required too much prayer. Less spirituality,
more hops. Our ales are big, unpolished, and perfect after a day's work."
MATTER-OF-FACT / ENGINEERING-FOCUSED
"Brewing is chemistry. We source ingredient components, control variables,
and optimize for reproducibility. If that sounds clinical, good—consistency
is our craft."
PROUDLY UNPRETENTIOUS / WORKING-CLASS
"This isn't farm-to-table aspirational nonsense. It's a neighborhood beer.
$4 pints. No reservations. No sipping notes. Tastes good, fills the glass,
keeps you coming back."
MINIMALIST / DIRECT
"We brew three beers. They're good. Come drink one."
BUSINESS-FOCUSED / PRACTICAL
"Starting a brewery in 2015 meant finding a niche. We're the only nano-
brewery serving the airport district. Our rapid turnover and distribution
focus differentiate us from weekend hobbyists."
CONFRONTATIONAL / REBELLIOUS
"Craft beer got boring. Expensive IPAs and flavor-chasing. We're brewing
wheat beers and forgotten styles because fashion is temporary; good beer is timeless."
MIX these tones across your descriptions. Some breweries should sound romantic
and place-proud. Others should sound irreverent or practical.
================================================================================
NARRATIVE CLICHÉS TO ABSOLUTELY AVOID
================================================================================
1. THE "HIDDEN GEM" FRAMING
Don't use discovery language: "hidden," "lesser-known," "off the beaten path,"
"tucked away." Implies marketing speak, not authenticity.
2. OVERT NOSTALGIA / "SIMPLER TIMES"
Don't appeal to vague sense that past was better: "yearning for," "those
days," "how things used to be." Lazy and off-putting.
3. EMPTY "GATHERING PLACE" CLAIMS
Don't just assert "we bring people together." Show HOW: local workers' lunch
spot? Trivia night tradition? Live music venue? Political meeting ground?
4. "SPECIAL" WITHOUT EVIDENCE
Don't declare location is "special" or "unique." SHOW what makes it distinct
through specific details, not assertion.
5. "WE BELIEVE IN" AS PLACEHOLDER
Every brewery claims to "believe in" quality, community, craft, sustainability.
These are empty. What specific belief drives THIS brewery's choices?
6. "ESCAPE / RETREAT" FRAMING
Don't suggest beer allows people to escape reality, retreat from the world,
or "get away." Implies you don't trust the place itself to be compelling.
7. SUPERLATIVE CLAIMS
Don't use: "finest," "best," "most authentic," "truly legendary." Let details
prove these implied claims instead.
8. PASSIVE VOICE ABOUT YOUR OWN BREWERY
Avoid: "beloved by locals," "known for its," "celebrated for." Active voice:
what does the brewery actively DO?
================================================================================
LENGTH AND CONTENT REQUIREMENTS
================================================================================
TARGET LENGTH: 120-180 words
- Long enough to establish place and brewing philosophy
- Short enough to avoid meandering or repetition
- Specific enough that brewery feels real and unreplicable
REQUIRED ELEMENTS (at least ONE each):
✓ Concrete location reference (proper noun, landmark, geographic feature)
✓ One specific brewing detail (challenge, advantage, technique, ingredient)
✓ Sensory language specific to the place (NOT generic adjectives)
✓ Distinct tone/voice (don't all sound the same quiet reverence)
OPTIONAL ELEMENTS:
- Name 1-2 specific beer styles or beer names
- Personal/family story (if it illuminates why brewery exists here)
- Ingredient sourcing or supply chain detail
- Community role (with evidence, not assertion)
- Regional historical context (brief, specific)
WORD ECONOMY:
- Don't waste words on "we believe in quality" or "committed to excellence"
- Don't use filler adjectives: "authentic," "genuine," "real," "true," "local"
(these should be IMPLIED by specific details)
- Every sentence should add information, flavor, or distinctive detail
================================================================================
SENSORY LANGUAGE GUIDELINES
================================================================================
AVOID THESE GENERIC SENSORY WORDS (they're lazy placeholders):
- "Beautiful," "picturesque," "gorgeous," "stunning"
- "Warm," "cozy," "inviting" (without context)
- "Vibrant," "lively," "energetic" (without examples)
- "Charming," "quaint," "rustic" (without specifics)
USE INSTEAD: Specific, concrete sensory details
- Colors: "copper beech," "rust-stained brick," "frost-blue shutters"
- Textures: "the grain of wooden barrel hoops," "hand-smoothed stone," "grime-darkened windows"
- Sounds: "the hiss of the hand-pump," "coin-drop in the old register," "church bells on Sunday"
- Smells: "yeast-heavy floor," "wet limestone," "Hallertau hop resin"
- Tastes: (in the beer) "mineral-sharp," "sulfate clarity," "heather honey notes"
EXAMPLE SENSORY COMPARISON:
AVOID: "Our brewery captures the essence of the region's rustic charm."
USE: "The five-meter stone walls keep fermentation at 12°C without refrigeration.
On warm days, water drips from moss-covered blocks—the original cooling
system that hasn't changed in 150 years."
================================================================================
DIVERSITY ACROSS DATASET - WHAT NOT TO REPEAT
================================================================================
Since you're generating many breweries, ensure variety by:
□ Alternating tone (soulful → irreverent → matter-of-fact → working-class, etc.)
□ Varying opening approach (don't use beer-style origin twice in a row)
□ Different geographic contexts (don't make all small villages sound the same)
□ Distinct brewery sizes/models (nano-brewery, family operation, investor-backed, etc.)
□ Various types of "draw" (neighborhood destination vs. local-only vs. tourist
attraction vs. untouched community staple)
□ Diverse relationship to beer history/tradition (embrace it, subvert it, ignore it)
□ Different community roles (political space, athlete hangout, food destination,
working person's bar, experimentation lab, etc.)
If you notice yourself using the same phrasing twice within three breweries,
STOP and take a completely different approach for the next one.
================================================================================
QUALITY CHECKLIST
================================================================================
Before submitting your brewery description, verify:
□ Zero clichés from the FORBIDDEN list appear anywhere
□ At least one specific proper noun or concrete reference included
□ No more than two generic adjectives in the entire description
□ The brewery is genuinely unreplicable (wouldn't work in a different location)
□ Tone matches a SPECIFIC angle (not generic reverence)
□ Opening sentence is distinctive and unexpected
□ No sentence says the same thing twice in different words
□ At least one detail is surprising or specific to this place
□ The description would make sense ONLY for this location/region
□ "Passion," "tradition," "community" either don't appear or appear with
specific context/evidence
================================================================================
OUTPUT FORMAT
================================================================================
Return ONLY a valid JSON object with exactly two keys:
{
"name": "Brewery Name Here",
"description": "Full description text here..."
}
Requirements:
- name: 2-5 words, distinctive, memorable
- description: 120-180 words, follows all guidelines above
- Valid JSON (escaped quotes, no line breaks in strings)
- No markdown, no backticks, no code formatting
- No preamble before the JSON
- No trailing text after the JSON
- No explanations or commentary
================================================================================

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================================================================================
BREWERY DATA GENERATION SYSTEM PROMPT
ROLE AND OBJECTIVE
You are an experienced brewmaster creating brewery descriptions grounded in the
given city and country. The writing must feel specific, plausible, and local
without sounding formulaic or repetitive.
Primary goal: produce varied outputs across many cities in one run.
Do NOT use the same template repeatedly.
================================================================================
ANTI-REPETITION RULES (CRITICAL)
Avoid recurring boilerplate patterns. Especially avoid repeatedly using:
- "The soft spring water beneath..."
- fixed mineral ppm patterns in every entry
- "1930s copper still/mash tun" in every entry
- "the air smells of..." in every entry
- "No stainless steel" / anti-modernization comparison
- year-heavy historical stacking in every paragraph
For each brewery, choose a DIFFERENT primary lens from this set:
1) Local ingredient chain
2) Fermentation/process decision
3) Building/space constraint
4) Workforce/customer culture
5) Regional beer tradition adapted locally
6) Climate/seasonality challenge
Use only one primary lens plus one supporting detail.
Do not combine all lenses every time.
Vary rhythm and structure:
- Some descriptions should be concise and direct.
- Some can be narrative.
- Some can be technical.
- Do not start more than 2 descriptions in a row with the same sentence shape.
================================================================================
FORBIDDEN PHRASES
NEVER USE THESE (even in modified form):
"Love letter to" / "tribute to" / "ode to" / "rolling hills" / "picturesque"
"Every sip tells a story" / "Come for X, stay for Y" / "Where tradition meets innovation"
"Rich history" / "ancient roots" / "timeless traditions" / "time-honored heritage"
"Passion" (standalone descriptor) / "brewing excellence" / "commitment to quality"
"Authentic" / "genuine" / "real" / "true" (SHOW these, don't state them)
"Bringing people together" (without HOW) / "community gathering place" (without proof)
"Hidden gem" / "secret" / "lesser-known" / "beloved by locals"
Generic adjectives: "beautiful," "gorgeous," "lovely," "cozy," "charming," "vibrant"
Vague temporal claims: "simpler times," "the good old days," "escape from the modern world"
Passive voice: "is known for," "has become famous for," "has earned a reputation"
================================================================================
OPENING APPROACHES (Choose ONE)
BEER STYLE ORIGIN: Start with a specific historical beer style from this
region, explain why this place created it, show how your brewery continues it.
Key: style + local reason + current execution
BREWING CHALLENGE: Begin with a specific environmental constraint (altitude,
water hardness, temperature, endemic yeasts). Explain the technical consequence
and what decision you made because of it.
Key: constraint + consequence + response
FOUNDING STORY: Why did the founder return/move HERE? What did they discover?
What specific brewing decision followed? Include a concrete artifact (logs, equipment).
Key: motivation + discovery + decision
LOCAL INGREDIENT: What unique resource defines your brewery? Why is it unique?
What brewing constraint or opportunity does it create?
Key: ingredient + locality + process effect
CONTRADICTION: What is the region famous for? Why does your brewery do the
opposite? Make the contradiction a strength, not an apology.
Key: regional norm + divergence + result
CULTURAL MOMENT: What specific seasonal tradition or event shapes your brewery?
How do you connect to it? What brewing decisions follow?
Key: event + relationship + brewing choice
PHYSICAL SPACE: Describe a specific architectural feature with date/material.
How does it create technical advantage? What sensory details matter? Why keep
constraints instead of modernizing?
Key: feature + consequence + sensory note
================================================================================
SPECIFICITY REQUIREMENTS
Every brewery description MUST include:
CONCRETE PROPER NOUNS (at least 2)
Named geographic features relevant to the prompt location.
Named local suppliers or historical events specific to the region.
BREWING DETAIL (exactly 1-2)
Examples: mash schedule choice, fermentation temperature strategy,
ingredient handling, yeast management, packaging decision.
Numeric values are OPTIONAL.
Only use numbers when highly plausible.
Do not force ppm chemistry in every description.
Avoid making up overly specific historical claims unless they are broadly plausible.
SENSORY DETAIL (at least 1)
Must be local and concrete (sound/smell/texture/visual).
Do not reuse identical sensory phrasing across outputs.
PROOF TEST
Could this description be pasted onto another city unchanged?
If yes, make it more local.
If no, proceed.
================================================================================
TONE VARIATIONS
Rotate tones consciously.
Do not lock into one tone for all cities. Choose one per city.
IRREVERENT: blunt, anti-hype, practical.
MATTER-OF-FACT: technical and concise.
WORKING-CLASS PROUD: utility, affordability, regulars.
MINIMALIST: short, sparse, direct.
NOSTALGIC-GROUNDED: legacy through tangible artifacts.
================================================================================
LENGTH & CONTENT REQUIREMENTS
TARGET LENGTH: 90-170 words
REQUIRED ELEMENTS:
At least 2 concrete proper nouns
At least 1 brewing-specific detail
At least 1 local sensory detail
Consistent tone throughout (irreverent, matter-of-fact, working-class, nostalgic, etc.)
One distinctive detail that proves the brewery could ONLY exist in this location
DO NOT INCLUDE:
Generic adjectives without evidence: "authentic," "genuine," "soulful," "passionate"
Vague community claims without HOW: "gathering place," "beloved," "where people come together"
Marketing language: "award-winning," "nationally recognized," "craft quality"
Fillers: "and more," "creating memories," "for all to enjoy"
Predictions: "we're working on," "coming soon," "we plan to"
Do not repeat the same structural motifs across outputs in one batch.
================================================================================
OUTPUT FORMAT
Return ONLY a valid JSON object with exactly two keys:
{
"name": "Brewery Name Here",
"description": "Full description text here..."
}
Requirements:
name: 2-5 words, distinctive, memorable
description: 90-170 words, follows all guidelines
Valid JSON (properly escaped quotes, no line breaks)
No markdown, backticks, or code formatting
No preamble or trailing text after JSON

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#include "biergarten_data_generator.h"
#include <spdlog/spdlog.h>
#include <algorithm>
#include <filesystem>
#include <future>
#include <iterator>
#include <random>
#include "data_generation/llama_generator.h"
#include "data_generation/mock_generator.h"
#include "json_handling/json_loader.h"
#include "wikipedia/wikipedia_service.h"
BiergartenDataGenerator::BiergartenDataGenerator(
const ApplicationOptions& options, std::shared_ptr<WebClient> web_client)
: options_(options), webClient_(std::move(web_client)) {}
auto BiergartenDataGenerator::InitializeGenerator()
-> std::unique_ptr<DataGenerator> {
spdlog::info("Initializing brewery generator...");
std::unique_ptr<DataGenerator> generator;
if (options_.model_path.empty()) {
generator = std::make_unique<MockGenerator>();
spdlog::info("[Generator] Using MockGenerator (no model path provided)");
} else {
auto llama_generator = std::make_unique<LlamaGenerator>();
llama_generator->SetSamplingOptions(options_.temperature, options_.top_p,
options_.seed);
llama_generator->SetContextSize(options_.n_ctx);
spdlog::info(
"[Generator] Using LlamaGenerator: {} (temperature={}, top-p={}, "
"n_ctx={}, seed={})",
options_.model_path, options_.temperature, options_.top_p,
options_.n_ctx, options_.seed);
generator = std::move(llama_generator);
}
generator->Load(options_.model_path);
return generator;
}
auto BiergartenDataGenerator::QueryCitiesWithCountries()
-> std::vector<Location> {
spdlog::info("\n=== GEOGRAPHIC DATA OVERVIEW ===");
std::filesystem::path locations_path = "locations.json";
if (!std::filesystem::exists(locations_path)) {
const std::filesystem::path cache_path =
std::filesystem::path(options_.cache_dir) / "locations.json";
if (std::filesystem::exists(cache_path)) {
locations_path = cache_path;
}
}
auto all_locations = JsonLoader::LoadLocations(locations_path.string());
spdlog::info(" Locations available: {}", all_locations.size());
const size_t sample_count = std::min<size_t>(4, all_locations.size());
std::vector<Location> sampled_locations;
sampled_locations.reserve(sample_count);
std::random_device random_generator;
std::sample(all_locations.begin(), all_locations.end(),
std::back_inserter(sampled_locations), sample_count,
random_generator);
spdlog::info(" Sampled locations: {}", sampled_locations.size());
return sampled_locations;
}
auto BiergartenDataGenerator::EnrichWithWikipedia(
const std::vector<Location>& cities) -> std::vector<EnrichedCity> {
std::vector<EnrichedCity> enriched;
enriched.reserve(cities.size());
std::vector<std::future<EnrichedCity>> pending;
pending.reserve(cities.size());
for (const auto& city : cities) {
pending.push_back(std::async(std::launch::async,
[web_client = webClient_, city]() {
WikipediaService wikipedia_service(
web_client);
const std::string region_context =
wikipedia_service.GetSummary(
city.city, city.country);
spdlog::debug(
"[Pipeline] Region context for {}: {}",
city.city, region_context);
return EnrichedCity{city, region_context};
}));
}
for (auto& task : pending) {
enriched.push_back(task.get());
}
return enriched;
}
void BiergartenDataGenerator::GenerateBreweries(
DataGenerator& generator, const std::vector<EnrichedCity>& cities) {
spdlog::info("\n=== SAMPLE BREWERY GENERATION ===");
generatedBreweries_.clear();
size_t skipped_count = 0;
for (const auto& enriched_city : cities) {
try {
auto brewery = generator.GenerateBrewery(enriched_city.location.city,
enriched_city.location.country,
enriched_city.region_context);
generatedBreweries_.push_back({enriched_city.location, brewery});
} catch (const std::exception& e) {
++skipped_count;
spdlog::warn(
"[Pipeline] Skipping city '{}' ({}): brewery generation failed: {}",
enriched_city.location.city, enriched_city.location.country,
e.what());
}
}
if (skipped_count > 0) {
spdlog::warn("[Pipeline] Skipped {} city/cities due to generation "
"errors",
skipped_count);
}
}
void BiergartenDataGenerator::LogResults() const {
spdlog::info("\n=== GENERATED DATA DUMP ===");
size_t index = 1;
for (const auto& entry : generatedBreweries_) {
spdlog::info("{}. city=\"{}\" country=\"{}\" state=\"{}\" "
"iso3166_2={} lat={} lon={}",
index, entry.location.city, entry.location.country,
entry.location.state_province, entry.location.iso3166_2,
entry.location.latitude, entry.location.longitude);
spdlog::info(" brewery_name=\"{}\"", entry.brewery.name);
spdlog::info(" brewery_description=\"{}\"", entry.brewery.description);
++index;
}
}
auto BiergartenDataGenerator::Run() -> int {
try {
auto generator = InitializeGenerator();
auto cities = QueryCitiesWithCountries();
auto enriched = EnrichWithWikipedia(cities);
GenerateBreweries(*generator, enriched);
LogResults();
spdlog::info("\nOK: Pipeline completed successfully");
return 0;
} catch (const std::exception& e) {
spdlog::error("ERROR: Pipeline failed: {}", e.what());
return 1;
}
}

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/**
* Destructor Module
* Ensures proper cleanup of llama.cpp resources (context and model) when the
* generator is destroyed, preventing memory leaks and resource exhaustion.
*/
#include "data_generation/llama_generator.h"
#include "llama.h"
LlamaGenerator::~LlamaGenerator() {
/**
* Free the inference context (contains KV cache and computation state)
*/
if (context_ != nullptr) {
llama_free(context_);
context_ = nullptr;
}
/**
* Free the loaded model (contains weights and vocabulary)
*/
if (model_ != nullptr) {
llama_model_free(model_);
model_ = nullptr;
}
/**
* Clean up the backend (GPU/CPU acceleration resources)
*/
llama_backend_free();
}

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/**
* Brewery Data Generation Module
* Uses the LLM to generate realistic brewery names and descriptions for a given
* location. Implements retry logic with validation and error correction to
* ensure valid JSON output conforming to the expected schema.
*/
#include <spdlog/spdlog.h>
#include <stdexcept>
#include <string>
#include "data_generation/llama_generator.h"
#include "data_generation/llama_generator_helpers.h"
BreweryResult LlamaGenerator::GenerateBrewery(
const std::string& city_name, const std::string& country_name,
const std::string& region_context) {
/**
* Preprocess and truncate region context to manageable size
*/
const std::string safe_region_context =
PrepareRegionContextPublic(region_context);
/**
* Load brewery system prompt from file
* Falls back to minimal inline prompt if file not found
* Default path: prompts/brewery_system_prompt_expanded.txt
*/
const std::string system_prompt =
LoadBrewerySystemPrompt("prompts/brewery_system_prompt_expanded.txt");
/**
* User prompt: provides geographic context to guide generation towards
* culturally appropriate and locally-inspired brewery attributes
*/
std::string prompt =
"Write a brewery name and place-specific long description for a craft "
"brewery in " +
city_name +
(country_name.empty() ? std::string("")
: std::string(", ") + country_name) +
(safe_region_context.empty()
? std::string(".")
: std::string(". Regional context: ") + safe_region_context);
/**
* Store location context for retry prompts (without repeating full context)
*/
const std::string retry_location =
"Location: " + city_name +
(country_name.empty() ? std::string("")
: std::string(", ") + country_name);
/**
* RETRY LOOP with validation and error correction
* Attempts to generate valid brewery data up to 3 times, with feedback-based
* refinement
*/
const int max_attempts = 3;
std::string raw;
std::string last_error;
// Limit output length to keep it concise and focused
constexpr int max_tokens = 1052;
for (int attempt = 0; attempt < max_attempts; ++attempt) {
// Generate brewery data from LLM
raw = Infer(system_prompt, prompt, max_tokens);
spdlog::debug("LlamaGenerator: raw output (attempt {}): {}", attempt + 1,
raw);
// Validate output: parse JSON and check required fields
std::string name;
std::string description;
const std::string validation_error =
ValidateBreweryJsonPublic(raw, name, description);
if (validation_error.empty()) {
// Success: return parsed brewery data
return {std::move(name), std::move(description)};
}
// Validation failed: log error and prepare corrective feedback
last_error = validation_error;
spdlog::warn("LlamaGenerator: malformed brewery JSON (attempt {}): {}",
attempt + 1, validation_error);
// Update prompt with error details to guide LLM toward correct output.
// For retries, use a compact prompt format to avoid exceeding token
// limits.
prompt =
"Your previous response was invalid. Error: " + validation_error +
"\nReturn ONLY valid JSON with this exact schema: "
"{\"name\": \"string\", \"description\": \"string\"}."
"\nDo not include markdown, comments, or extra keys."
"\n\n" +
retry_location;
}
// All retry attempts exhausted: log failure and throw exception
spdlog::error(
"LlamaGenerator: malformed brewery response after {} attempts: "
"{}",
max_attempts, last_error.empty() ? raw : last_error);
throw std::runtime_error("LlamaGenerator: malformed brewery response");
}

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/**
* User Profile Generation Module
* Uses the LLM to generate realistic user profiles (username and bio) for craft
* beer enthusiasts. Implements retry logic to handle parsing failures and
* ensures output adheres to strict format constraints (two lines, specific
* character limits).
*/
#include <spdlog/spdlog.h>
#include <algorithm>
#include <stdexcept>
#include <string>
#include "data_generation/llama_generator.h"
#include "data_generation/llama_generator_helpers.h"
UserResult LlamaGenerator::GenerateUser(const std::string& locale) {
/**
* System prompt: specifies exact output format to minimize parsing errors
* Constraints: 2-line output, username format, bio length bounds
*/
const std::string system_prompt =
"You generate plausible social media profiles for craft beer "
"enthusiasts. "
"Respond with exactly two lines: "
"the first line is a username (lowercase, no spaces, 8-20 characters), "
"the second line is a one-sentence bio (20-40 words). "
"The profile should feel consistent with the locale. "
"No preamble, no labels.";
/**
* User prompt: locale parameter guides cultural appropriateness of generated
* profiles
*/
std::string prompt =
"Generate a craft beer enthusiast profile. Locale: " + locale;
/**
* RETRY LOOP with format validation
* Attempts up to 3 times to generate valid user profile with correct format
*/
const int max_attempts = 3;
std::string raw;
for (int attempt = 0; attempt < max_attempts; ++attempt) {
/**
* Generate user profile (max 128 tokens - should fit 2 lines easily)
*/
raw = Infer(system_prompt, prompt, 128);
spdlog::debug("LlamaGenerator (user): raw output (attempt {}): {}",
attempt + 1, raw);
try {
/**
* Parse two-line response: first line = username, second line = bio
*/
auto [username, bio] = ParseTwoLineResponsePublic(
raw, "LlamaGenerator: malformed user response");
/**
* Remove any whitespace from username (usernames shouldn't have
* spaces)
*/
username.erase(
std::remove_if(username.begin(), username.end(),
[](unsigned char ch) { return std::isspace(ch); }),
username.end());
/**
* Validate both fields are non-empty after processing
*/
if (username.empty() || bio.empty()) {
throw std::runtime_error("LlamaGenerator: malformed user response");
}
/**
* Truncate bio if exceeds reasonable length for bio field
*/
if (bio.size() > 200) bio = bio.substr(0, 200);
/**
* Success: return parsed user profile
*/
return {username, bio};
} catch (const std::exception& e) {
/**
* Parsing failed: log and continue to next attempt
*/
spdlog::warn(
"LlamaGenerator: malformed user response (attempt {}): {}",
attempt + 1, e.what());
}
}
/**
* All retry attempts exhausted: log failure and throw exception
*/
spdlog::error(
"LlamaGenerator: malformed user response after {} attempts: {}",
max_attempts, raw);
throw std::runtime_error("LlamaGenerator: malformed user response");
}

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/**
* Helper Functions Module
* Provides utility functions for text processing, parsing, and chat template
* formatting. Functions handle whitespace normalization, response parsing, and
* conversion of prompts to proper chat format using the model's built-in
* template.
*/
#include <algorithm>
#include <array>
#include <boost/json.hpp>
#include <cctype>
#include <sstream>
#include <stdexcept>
#include <string>
#include <vector>
#include "data_generation/llama_generator.h"
#include "llama.h"
namespace {
/**
* String trimming: removes leading and trailing whitespace
*/
std::string Trim(std::string value) {
auto not_space = [](unsigned char ch) { return !std::isspace(ch); };
value.erase(value.begin(),
std::find_if(value.begin(), value.end(), not_space));
value.erase(std::find_if(value.rbegin(), value.rend(), not_space).base(),
value.end());
return value;
}
/**
* Normalize whitespace: collapses multiple spaces/tabs/newlines into single
* spaces
*/
std::string CondenseWhitespace(std::string text) {
std::string out;
out.reserve(text.size());
bool in_whitespace = false;
for (unsigned char ch : text) {
if (std::isspace(ch)) {
if (!in_whitespace) {
out.push_back(' ');
in_whitespace = true;
}
continue;
}
in_whitespace = false;
out.push_back(static_cast<char>(ch));
}
return Trim(std::move(out));
}
/**
* Truncate region context to fit within max length while preserving word
* boundaries
*/
std::string PrepareRegionContext(std::string_view region_context,
std::size_t max_chars) {
std::string normalized = CondenseWhitespace(std::string(region_context));
if (normalized.size() <= max_chars) {
return normalized;
}
normalized.resize(max_chars);
const std::size_t last_space = normalized.find_last_of(' ');
if (last_space != std::string::npos && last_space > max_chars / 2) {
normalized.resize(last_space);
}
normalized += "...";
return normalized;
}
/**
* Remove common bullet points, numbers, and field labels added by LLM in output
*/
std::string StripCommonPrefix(std::string line) {
line = Trim(std::move(line));
if (!line.empty() && (line[0] == '-' || line[0] == '*')) {
line = Trim(line.substr(1));
} else {
std::size_t i = 0;
while (i < line.size() &&
std::isdigit(static_cast<unsigned char>(line[i]))) {
++i;
}
if (i > 0 && i < line.size() && (line[i] == '.' || line[i] == ')')) {
line = Trim(line.substr(i + 1));
}
}
auto strip_label = [&line](const std::string& label) {
if (line.size() >= label.size()) {
bool matches = true;
for (std::size_t i = 0; i < label.size(); ++i) {
if (std::tolower(static_cast<unsigned char>(line[i])) !=
std::tolower(static_cast<unsigned char>(label[i]))) {
matches = false;
break;
}
}
if (matches) {
line = Trim(line.substr(label.size()));
}
}
};
strip_label("name:");
strip_label("brewery name:");
strip_label("description:");
strip_label("username:");
strip_label("bio:");
return Trim(std::move(line));
}
/**
* Parse two-line response from LLM: normalize line endings, strip formatting,
* filter spurious output, and combine remaining lines if needed
*/
std::pair<std::string, std::string> ParseTwoLineResponse(
const std::string& raw, const std::string& error_message) {
std::string normalized = raw;
std::replace(normalized.begin(), normalized.end(), '\r', '\n');
std::vector<std::string> lines;
std::stringstream stream(normalized);
std::string line;
while (std::getline(stream, line)) {
line = StripCommonPrefix(std::move(line));
if (!line.empty()) lines.push_back(std::move(line));
}
std::vector<std::string> filtered;
for (auto& l : lines) {
std::string low = l;
std::transform(low.begin(), low.end(), low.begin(), [](unsigned char c) {
return static_cast<char>(std::tolower(c));
});
// Filter known thinking tags like <think>...</think>, but be conservative
// to avoid removing legitimate output. Only filter specific known
// patterns.
if (!l.empty() && l.front() == '<' && low.back() == '>') {
// Only filter if it's a known thinking tag: <think>, <reasoning>, etc.
if (low.find("think") != std::string::npos ||
low.find("reasoning") != std::string::npos ||
low.find("reflect") != std::string::npos) {
continue;
}
}
if (low.rfind("okay,", 0) == 0 || low.rfind("hmm", 0) == 0) continue;
filtered.push_back(std::move(l));
}
if (filtered.size() < 2) throw std::runtime_error(error_message);
std::string first = Trim(filtered.front());
std::string second;
for (size_t i = 1; i < filtered.size(); ++i) {
if (!second.empty()) second += ' ';
second += filtered[i];
}
second = Trim(std::move(second));
if (first.empty() || second.empty()) throw std::runtime_error(error_message);
return {first, second};
}
/**
* Apply model's chat template to user-only prompt, formatting it for the model
*/
std::string ToChatPrompt(const llama_model* model,
const std::string& user_prompt) {
const char* tmpl = llama_model_chat_template(model, nullptr);
if (tmpl == nullptr) {
return user_prompt;
}
const llama_chat_message message{"user", user_prompt.c_str()};
std::vector<char> buffer(
std::max<std::size_t>(1024, user_prompt.size() * 4));
int32_t required =
llama_chat_apply_template(tmpl, &message, 1, true, buffer.data(),
static_cast<int32_t>(buffer.size()));
if (required < 0) {
throw std::runtime_error("LlamaGenerator: failed to apply chat template");
}
if (required >= static_cast<int32_t>(buffer.size())) {
buffer.resize(static_cast<std::size_t>(required) + 1);
required =
llama_chat_apply_template(tmpl, &message, 1, true, buffer.data(),
static_cast<int32_t>(buffer.size()));
if (required < 0) {
throw std::runtime_error(
"LlamaGenerator: failed to apply chat template");
}
}
return std::string(buffer.data(), static_cast<std::size_t>(required));
}
/**
* Apply model's chat template to system+user prompt pair, formatting for the
* model
*/
std::string ToChatPrompt(const llama_model* model,
const std::string& system_prompt,
const std::string& user_prompt) {
const char* tmpl = llama_model_chat_template(model, nullptr);
if (tmpl == nullptr) {
return system_prompt + "\n\n" + user_prompt;
}
const llama_chat_message messages[2] = {{"system", system_prompt.c_str()},
{"user", user_prompt.c_str()}};
std::vector<char> buffer(std::max<std::size_t>(
1024, (system_prompt.size() + user_prompt.size()) * 4));
int32_t required =
llama_chat_apply_template(tmpl, messages, 2, true, buffer.data(),
static_cast<int32_t>(buffer.size()));
if (required < 0) {
throw std::runtime_error("LlamaGenerator: failed to apply chat template");
}
if (required >= static_cast<int32_t>(buffer.size())) {
buffer.resize(static_cast<std::size_t>(required) + 1);
required =
llama_chat_apply_template(tmpl, messages, 2, true, buffer.data(),
static_cast<int32_t>(buffer.size()));
if (required < 0) {
throw std::runtime_error(
"LlamaGenerator: failed to apply chat template");
}
}
return std::string(buffer.data(), static_cast<std::size_t>(required));
}
void AppendTokenPiece(const llama_vocab* vocab, llama_token token,
std::string& output) {
std::array<char, 256> buffer{};
int32_t bytes =
llama_token_to_piece(vocab, token, buffer.data(),
static_cast<int32_t>(buffer.size()), 0, true);
if (bytes < 0) {
std::vector<char> dynamic_buffer(static_cast<std::size_t>(-bytes));
bytes = llama_token_to_piece(vocab, token, dynamic_buffer.data(),
static_cast<int32_t>(dynamic_buffer.size()),
0, true);
if (bytes < 0) {
throw std::runtime_error(
"LlamaGenerator: failed to decode sampled token piece");
}
output.append(dynamic_buffer.data(), static_cast<std::size_t>(bytes));
return;
}
output.append(buffer.data(), static_cast<std::size_t>(bytes));
}
bool ExtractFirstJsonObject(const std::string& text, std::string& json_out) {
std::size_t start = std::string::npos;
int depth = 0;
bool in_string = false;
bool escaped = false;
for (std::size_t i = 0; i < text.size(); ++i) {
const char ch = text[i];
if (in_string) {
if (escaped) {
escaped = false;
} else if (ch == '\\') {
escaped = true;
} else if (ch == '"') {
in_string = false;
}
continue;
}
if (ch == '"') {
in_string = true;
continue;
}
if (ch == '{') {
if (depth == 0) {
start = i;
}
++depth;
continue;
}
if (ch == '}') {
if (depth == 0) {
continue;
}
--depth;
if (depth == 0 && start != std::string::npos) {
json_out = text.substr(start, i - start + 1);
return true;
}
}
}
return false;
}
std::string ValidateBreweryJson(const std::string& raw, std::string& name_out,
std::string& description_out) {
auto validate_object = [&](const boost::json::value& jv,
std::string& error_out) -> bool {
if (!jv.is_object()) {
error_out = "JSON root must be an object";
return false;
}
const auto& obj = jv.get_object();
if (!obj.contains("name") || !obj.at("name").is_string()) {
error_out = "JSON field 'name' is missing or not a string";
return false;
}
if (!obj.contains("description") || !obj.at("description").is_string()) {
error_out = "JSON field 'description' is missing or not a string";
return false;
}
name_out = Trim(std::string(obj.at("name").as_string().c_str()));
description_out =
Trim(std::string(obj.at("description").as_string().c_str()));
if (name_out.empty()) {
error_out = "JSON field 'name' must not be empty";
return false;
}
if (description_out.empty()) {
error_out = "JSON field 'description' must not be empty";
return false;
}
std::string name_lower = name_out;
std::string description_lower = description_out;
std::transform(
name_lower.begin(), name_lower.end(), name_lower.begin(),
[](unsigned char c) { return static_cast<char>(std::tolower(c)); });
std::transform(description_lower.begin(), description_lower.end(),
description_lower.begin(), [](unsigned char c) {
return static_cast<char>(std::tolower(c));
});
if (name_lower == "string" || description_lower == "string") {
error_out = "JSON appears to be a schema placeholder, not content";
return false;
}
error_out.clear();
return true;
};
boost::system::error_code ec;
boost::json::value jv = boost::json::parse(raw, ec);
std::string validation_error;
if (ec) {
std::string extracted;
if (!ExtractFirstJsonObject(raw, extracted)) {
return "JSON parse error: " + ec.message();
}
ec.clear();
jv = boost::json::parse(extracted, ec);
if (ec) {
return "JSON parse error: " + ec.message();
}
if (!validate_object(jv, validation_error)) {
return validation_error;
}
return {};
}
if (!validate_object(jv, validation_error)) {
return validation_error;
}
return {};
}
} // namespace
// Forward declarations for helper functions exposed to other translation units
std::string PrepareRegionContextPublic(std::string_view region_context,
std::size_t max_chars) {
return PrepareRegionContext(region_context, max_chars);
}
std::pair<std::string, std::string> ParseTwoLineResponsePublic(
const std::string& raw, const std::string& error_message) {
return ParseTwoLineResponse(raw, error_message);
}
std::string ToChatPromptPublic(const llama_model* model,
const std::string& user_prompt) {
return ToChatPrompt(model, user_prompt);
}
std::string ToChatPromptPublic(const llama_model* model,
const std::string& system_prompt,
const std::string& user_prompt) {
return ToChatPrompt(model, system_prompt, user_prompt);
}
void AppendTokenPiecePublic(const llama_vocab* vocab, llama_token token,
std::string& output) {
AppendTokenPiece(vocab, token, output);
}
std::string ValidateBreweryJsonPublic(const std::string& raw,
std::string& name_out,
std::string& description_out) {
return ValidateBreweryJson(raw, name_out, description_out);
}

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/**
* Text Generation / Inference Module
* Core module that performs LLM inference: converts text prompts into tokens,
* runs the neural network forward pass, samples the next token, and converts
* output tokens back to text. Supports both simple and system+user prompts.
*/
#include <spdlog/spdlog.h>
#include <algorithm>
#include <memory>
#include <stdexcept>
#include <string>
#include <vector>
#include "data_generation/llama_generator.h"
#include "data_generation/llama_generator_helpers.h"
#include "llama.h"
std::string LlamaGenerator::Infer(const std::string& prompt, int max_tokens) {
return InferFormatted(ToChatPromptPublic(model_, prompt), max_tokens);
}
std::string LlamaGenerator::Infer(const std::string& system_prompt,
const std::string& prompt, int max_tokens) {
return InferFormatted(ToChatPromptPublic(model_, system_prompt, prompt),
max_tokens);
}
std::string LlamaGenerator::InferFormatted(const std::string& formatted_prompt,
int max_tokens) {
/**
* Validate that model and context are loaded
*/
if (model_ == nullptr || context_ == nullptr)
throw std::runtime_error("LlamaGenerator: model not loaded");
/**
* Get vocabulary for tokenization and token-to-text conversion
*/
const llama_vocab* vocab = llama_model_get_vocab(model_);
if (vocab == nullptr)
throw std::runtime_error("LlamaGenerator: vocab unavailable");
/**
* Clear KV cache to ensure clean inference state (no residual context)
*/
llama_memory_clear(llama_get_memory(context_), true);
/**
* TOKENIZATION PHASE
* Convert text prompt into token IDs (integers) that the model understands
*/
std::vector<llama_token> prompt_tokens(formatted_prompt.size() + 8);
int32_t token_count = llama_tokenize(
vocab, formatted_prompt.c_str(),
static_cast<int32_t>(formatted_prompt.size()), prompt_tokens.data(),
static_cast<int32_t>(prompt_tokens.size()), true, true);
/**
* If buffer too small, negative return indicates required size
*/
if (token_count < 0) {
prompt_tokens.resize(static_cast<std::size_t>(-token_count));
token_count = llama_tokenize(
vocab, formatted_prompt.c_str(),
static_cast<int32_t>(formatted_prompt.size()), prompt_tokens.data(),
static_cast<int32_t>(prompt_tokens.size()), true, true);
}
if (token_count < 0)
throw std::runtime_error("LlamaGenerator: prompt tokenization failed");
/**
* CONTEXT SIZE VALIDATION
* Validate and compute effective token budgets based on context window
* constraints
*/
const int32_t n_ctx = static_cast<int32_t>(llama_n_ctx(context_));
const int32_t n_batch = static_cast<int32_t>(llama_n_batch(context_));
if (n_ctx <= 1 || n_batch <= 0)
throw std::runtime_error("LlamaGenerator: invalid context or batch size");
/**
* Clamp generation limit to available context window, reserve space for
* output
*/
const int32_t effective_max_tokens =
std::max(1, std::min(max_tokens, n_ctx - 1));
/**
* Prompt can use remaining context after reserving space for generation
*/
int32_t prompt_budget = std::min(n_batch, n_ctx - effective_max_tokens);
prompt_budget = std::max<int32_t>(1, prompt_budget);
/**
* Truncate prompt if necessary to fit within constraints
*/
prompt_tokens.resize(static_cast<std::size_t>(token_count));
if (token_count > prompt_budget) {
spdlog::warn(
"LlamaGenerator: prompt too long ({} tokens), truncating to {} "
"tokens to fit n_batch/n_ctx limits",
token_count, prompt_budget);
prompt_tokens.resize(static_cast<std::size_t>(prompt_budget));
token_count = prompt_budget;
}
/**
* PROMPT PROCESSING PHASE
* Create a batch containing all prompt tokens and feed through the model
* This computes internal representations and fills the KV cache
*/
const llama_batch prompt_batch = llama_batch_get_one(
prompt_tokens.data(), static_cast<int32_t>(prompt_tokens.size()));
if (llama_decode(context_, prompt_batch) != 0)
throw std::runtime_error("LlamaGenerator: prompt decode failed");
/**
* SAMPLER CONFIGURATION PHASE
* Set up the probabilistic token selection pipeline (sampler chain)
* Samplers are applied in sequence: temperature -> top-p -> distribution
*/
llama_sampler_chain_params sampler_params =
llama_sampler_chain_default_params();
using SamplerPtr =
std::unique_ptr<llama_sampler, decltype(&llama_sampler_free)>;
SamplerPtr sampler(llama_sampler_chain_init(sampler_params),
&llama_sampler_free);
if (!sampler)
throw std::runtime_error("LlamaGenerator: failed to initialize sampler");
/**
* Temperature: scales logits before softmax (controls randomness)
*/
llama_sampler_chain_add(sampler.get(),
llama_sampler_init_temp(sampling_temperature_));
/**
* Top-P: nucleus sampling - filters to most likely tokens summing to top_p
* probability
*/
llama_sampler_chain_add(sampler.get(),
llama_sampler_init_top_p(sampling_top_p_, 1));
/**
* Distribution sampler: selects actual token using configured seed for
* reproducibility
*/
llama_sampler_chain_add(sampler.get(),
llama_sampler_init_dist(sampling_seed_));
/**
* TOKEN GENERATION LOOP
* Iteratively generate tokens one at a time until max_tokens or
* end-of-sequence
*/
std::vector<llama_token> generated_tokens;
generated_tokens.reserve(static_cast<std::size_t>(effective_max_tokens));
for (int i = 0; i < effective_max_tokens; ++i) {
/**
* Sample next token using configured sampler chain and model logits
* Index -1 means use the last output position from previous batch
*/
const llama_token next =
llama_sampler_sample(sampler.get(), context_, -1);
/**
* Stop if model predicts end-of-generation token (EOS/EOT)
*/
if (llama_vocab_is_eog(vocab, next)) break;
generated_tokens.push_back(next);
/**
* Feed the sampled token back into model for next iteration
* (autoregressive)
*/
llama_token token = next;
const llama_batch one_token_batch = llama_batch_get_one(&token, 1);
if (llama_decode(context_, one_token_batch) != 0)
throw std::runtime_error(
"LlamaGenerator: decode failed during generation");
}
/**
* DETOKENIZATION PHASE
* Convert generated token IDs back to text using vocabulary
*/
std::string output;
for (const llama_token token : generated_tokens)
AppendTokenPiecePublic(vocab, token, output);
/**
* Advance seed for next generation to improve output diversity
*/
sampling_seed_ = (sampling_seed_ == 0xFFFFFFFFu) ? 0 : sampling_seed_ + 1;
return output;
}

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/**
* Model Loading Module
* This module handles loading a pre-trained LLM model from disk and
* initializing the llama.cpp context for inference. It performs one-time setup
* required before any inference operations can be performed.
*/
#include <spdlog/spdlog.h>
#include <stdexcept>
#include <string>
#include "data_generation/llama_generator.h"
#include "llama.h"
void LlamaGenerator::Load(const std::string& model_path) {
/**
* Validate input and clean up any previously loaded model/context
*/
if (model_path.empty())
throw std::runtime_error("LlamaGenerator: model path must not be empty");
if (context_ != nullptr) {
llama_free(context_);
context_ = nullptr;
}
if (model_ != nullptr) {
llama_model_free(model_);
model_ = nullptr;
}
/**
* Initialize the llama backend (one-time setup for GPU/CPU acceleration)
*/
llama_backend_init();
llama_model_params model_params = llama_model_default_params();
model_ = llama_model_load_from_file(model_path.c_str(), model_params);
if (model_ == nullptr) {
throw std::runtime_error(
"LlamaGenerator: failed to load model from path: " + model_path);
}
llama_context_params context_params = llama_context_default_params();
context_params.n_ctx = n_ctx_;
context_params.n_batch = n_ctx_; // Set batch size equal to context window
context_ = llama_init_from_model(model_, context_params);
if (context_ == nullptr) {
llama_model_free(model_);
model_ = nullptr;
throw std::runtime_error("LlamaGenerator: failed to create context");
}
spdlog::info("[LlamaGenerator] Loaded model: {}", model_path);
}

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#include <fstream>
#include <filesystem>
#include <spdlog/spdlog.h>
#include "data_generation/llama_generator.h"
namespace fs = std::filesystem;
std::string LlamaGenerator::LoadBrewerySystemPrompt(
const std::string& prompt_file_path) {
// Return cached version if already loaded
if (!brewery_system_prompt_.empty()) {
return brewery_system_prompt_;
}
// Try multiple path locations
std::vector<std::string> paths_to_try = {
prompt_file_path, // As provided
"../" + prompt_file_path, // One level up
"../../" + prompt_file_path, // Two levels up
};
for (const auto& path : paths_to_try) {
std::ifstream prompt_file(path);
if (prompt_file.is_open()) {
std::string prompt((std::istreambuf_iterator<char>(prompt_file)),
std::istreambuf_iterator<char>());
prompt_file.close();
if (!prompt.empty()) {
spdlog::info(
"LlamaGenerator: Loaded brewery system prompt from '{}' ({} chars)",
path, prompt.length());
brewery_system_prompt_ = prompt;
return brewery_system_prompt_;
}
}
}
spdlog::warn(
"LlamaGenerator: Could not open brewery system prompt file at any of the "
"expected locations. Using fallback inline prompt.");
return GetFallbackBreweryPrompt();
}
// Fallback: minimal inline prompt if file fails to load
std::string LlamaGenerator::GetFallbackBreweryPrompt() {
return "You are an experienced brewmaster and owner of a local craft brewery. "
"Create a distinctive, authentic name and detailed description that "
"genuinely reflects your specific location, brewing philosophy, local "
"culture, and community connection. The brewery must feel real and "
"grounded—not generic or interchangeable.\n\n"
"AVOID REPETITIVE PHRASES - Never use:\n"
"Love letter to, tribute to, rolling hills, picturesque, every sip "
"tells a story, Come for X stay for Y, rich history, passion, woven "
"into, ancient roots, timeless, where tradition meets innovation\n\n"
"OPENING APPROACHES - Choose ONE:\n"
"1. Start with specific beer style and its regional origins\n"
"2. Begin with specific brewing challenge (water, altitude, climate)\n"
"3. Open with founding story or personal motivation\n"
"4. Lead with specific local ingredient or resource\n"
"5. Start with unexpected angle or contradiction\n"
"6. Open with local event, tradition, or cultural moment\n"
"7. Begin with tangible architectural or geographic detail\n\n"
"BE SPECIFIC - Include:\n"
"- At least ONE concrete proper noun (landmark, river, neighborhood)\n"
"- Specific beer styles relevant to the REGION'S culture\n"
"- Concrete brewing challenges or advantages\n"
"- Sensory details SPECIFIC to place—not generic adjectives\n\n"
"LENGTH: 150-250 words. TONE: Can be soulful, irreverent, "
"matter-of-fact, unpretentious, or minimalist.\n\n"
"Output ONLY a raw JSON object with keys name and description. "
"No markdown, backticks, preamble, or trailing text.";
}

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/**
* Sampling Configuration Module
* Configures the hyperparameters that control probabilistic token selection
* during text generation. These settings affect the randomness, diversity, and
* quality of generated output.
*/
#include <stdexcept>
#include "data_generation/llama_generator.h"
#include "llama.h"
void LlamaGenerator::SetSamplingOptions(float temperature, float top_p,
int seed) {
/**
* Validate temperature: controls randomness in output distribution
* 0.0 = deterministic (always pick highest probability token)
* Higher values = more random/diverse output
*/
if (temperature < 0.0f) {
throw std::runtime_error(
"LlamaGenerator: sampling temperature must be >= 0");
}
/**
* Validate top-p (nucleus sampling): only sample from top cumulative
* probability e.g., top-p=0.9 means sample from tokens that make up 90% of
* probability mass
*/
if (!(top_p > 0.0f && top_p <= 1.0f)) {
throw std::runtime_error(
"LlamaGenerator: sampling top-p must be in (0, 1]");
}
/**
* Validate seed: for reproducible results (-1 uses random seed)
*/
if (seed < -1) {
throw std::runtime_error(
"LlamaGenerator: seed must be >= 0, or -1 for random");
}
/**
* Store sampling parameters for use during token generation
*/
sampling_temperature_ = temperature;
sampling_top_p_ = top_p;
sampling_seed_ = (seed < 0) ? static_cast<uint32_t>(LLAMA_DEFAULT_SEED)
: static_cast<uint32_t>(seed);
}
void LlamaGenerator::SetContextSize(uint32_t n_ctx) {
/**
* Validate context size: must be positive and reasonable for the model
*/
if (n_ctx == 0 || n_ctx > 32768) {
throw std::runtime_error(
"LlamaGenerator: context size must be in range [1, 32768]");
}
/**
* Store context size for use during model loading
*/
n_ctx_ = n_ctx;
}

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#include <string>
#include <vector>
#include "data_generation/mock_generator.h"
const std::vector<std::string> MockGenerator::kBreweryAdjectives = {
"Craft", "Heritage", "Local", "Artisan", "Pioneer", "Golden",
"Modern", "Classic", "Summit", "Northern", "Riverstone", "Barrel",
"Hinterland", "Harbor", "Wild", "Granite", "Copper", "Maple"};
const std::vector<std::string> MockGenerator::kBreweryNouns = {
"Brewing Co.", "Brewery", "Bier Haus", "Taproom", "Works",
"House", "Fermentery", "Ale Co.", "Cellars", "Collective",
"Project", "Foundry", "Malthouse", "Public House", "Co-op",
"Lab", "Beer Hall", "Guild"};
const std::vector<std::string> MockGenerator::kBreweryDescriptions = {
"Handcrafted pale ales and seasonal IPAs with local ingredients.",
"Traditional lagers and experimental sours in small batches.",
"Award-winning stouts and wildly hoppy blonde ales.",
"Craft brewery specializing in Belgian-style triples and dark porters.",
"Modern brewery blending tradition with bold experimental flavors.",
"Neighborhood-focused taproom pouring crisp pilsners and citrusy pale "
"ales.",
"Small-batch brewery known for barrel-aged releases and smoky lagers.",
"Independent brewhouse pairing farmhouse ales with rotating food pop-ups.",
"Community brewpub making balanced bitters, saisons, and hazy IPAs.",
"Experimental nanobrewery exploring local yeast and regional grains.",
"Family-run brewery producing smooth amber ales and robust porters.",
"Urban brewery crafting clean lagers and bright, fruit-forward sours.",
"Riverfront brewhouse featuring oak-matured ales and seasonal blends.",
"Modern taproom focused on sessionable lagers and classic pub styles.",
"Brewery rooted in tradition with a lineup of malty reds and crisp lagers.",
"Creative brewery offering rotating collaborations and limited draft-only "
"pours.",
"Locally inspired brewery serving approachable ales with bold hop "
"character.",
"Destination taproom known for balanced IPAs and cocoa-rich stouts."};
const std::vector<std::string> MockGenerator::kUsernames = {
"hopseeker", "malttrail", "yeastwhisper", "lagerlane",
"barrelbound", "foamfinder", "taphunter", "graingeist",
"brewscout", "aleatlas", "caskcompass", "hopsandmaps",
"mashpilot", "pintnomad", "fermentfriend", "stoutsignal",
"sessionwander", "kettlekeeper"};
const std::vector<std::string> MockGenerator::kBios = {
"Always chasing balanced IPAs and crisp lagers across local taprooms.",
"Weekend brewery explorer with a soft spot for dark, roasty stouts.",
"Documenting tiny brewpubs, fresh pours, and unforgettable beer gardens.",
"Fan of farmhouse ales, food pairings, and long tasting flights.",
"Collecting favorite pilsners one city at a time.",
"Hops-first drinker who still saves room for classic malt-forward styles.",
"Finding hidden tap lists and sharing the best seasonal releases.",
"Brewery road-tripper focused on local ingredients and clean fermentation.",
"Always comparing house lagers and ranking patio pint vibes.",
"Curious about yeast strains, barrel programs, and cellar experiments.",
"Believes every neighborhood deserves a great community taproom.",
"Looking for session beers that taste great from first sip to last.",
"Belgian ale enthusiast who never skips a new saison.",
"Hazy IPA critic with deep respect for a perfectly clear pilsner.",
"Visits breweries for the stories, stays for the flagship pours.",
"Craft beer fan mapping tasting notes and favorite brew routes.",
"Always ready to trade recommendations for underrated local breweries.",
"Keeping a running list of must-try collab releases and tap takeovers."};

View File

@@ -0,0 +1,12 @@
#include <string>
#include "data_generation/mock_generator.h"
std::size_t MockGenerator::DeterministicHash(const std::string& a,
const std::string& b) {
std::size_t seed = std::hash<std::string>{}(a);
const std::size_t mixed = std::hash<std::string>{}(b);
seed ^= mixed + 0x9e3779b97f4a7c15ULL + (seed << 6) + (seed >> 2);
seed = (seed << 13) | (seed >> ((sizeof(std::size_t) * 8) - 13));
return seed;
}

View File

@@ -0,0 +1,24 @@
#include <string>
#include "data_generation/mock_generator.h"
auto MockGenerator::GenerateBrewery(const std::string& city_name,
const std::string& country_name,
const std::string& /*region_context*/)
-> BreweryResult {
const std::size_t hash = DeterministicHash(city_name, country_name);
const std::string& adjective =
kBreweryAdjectives.at(hash % kBreweryAdjectives.size());
const std::string& noun = kBreweryNouns.at((hash / 7) % kBreweryNouns.size());
const std::string& base_description =
kBreweryDescriptions.at((hash / 13) % kBreweryDescriptions.size());
const std::string name = city_name + " " + adjective + " " + noun;
const std::string description =
base_description + " Based in " + city_name +
(country_name.empty() ? std::string(".")
: std::string(", ") + country_name + ".");
return {name, description};
}

View File

@@ -0,0 +1,13 @@
#include <functional>
#include <string>
#include "data_generation/mock_generator.h"
UserResult MockGenerator::GenerateUser(const std::string& locale) {
const std::size_t hash = std::hash<std::string>{}(locale);
UserResult result;
result.username = kUsernames[hash % kUsernames.size()];
result.bio = kBios[(hash / 11) % kBios.size()];
return result;
}

View File

@@ -0,0 +1,9 @@
#include <spdlog/spdlog.h>
#include <string>
#include "data_generation/mock_generator.h"
void MockGenerator::Load(const std::string& /*modelPath*/) {
spdlog::info("[MockGenerator] No model needed");
}

View File

@@ -0,0 +1,83 @@
#include "json_handling/json_loader.h"
#include <spdlog/spdlog.h>
#include <boost/json.hpp>
#include <fstream>
#include <sstream>
#include <stdexcept>
namespace {
auto ReadRequiredString(const boost::json::object& object,
const char* key) -> std::string {
const boost::json::value* value = object.if_contains(key);
if (value == nullptr || !value->is_string()) {
throw std::runtime_error(std::string("Missing or invalid string field: ") +
key);
}
return std::string(value->as_string().c_str());
}
auto ReadRequiredNumber(const boost::json::object& object, const char* key)
-> double {
const boost::json::value* value = object.if_contains(key);
if (value == nullptr || !value->is_number()) {
throw std::runtime_error(std::string("Missing or invalid numeric field: ") +
key);
}
return value->to_number<double>();
}
} // namespace
auto JsonLoader::LoadLocations(const std::string& filepath)
-> std::vector<Location> {
std::ifstream input(filepath);
if (!input.is_open()) {
throw std::runtime_error("Failed to open locations file: " + filepath);
}
std::stringstream buffer;
buffer << input.rdbuf();
const std::string content = buffer.str();
boost::json::error_code error;
boost::json::value root = boost::json::parse(content, error);
if (error) {
throw std::runtime_error("Failed to parse locations JSON: " +
error.message());
}
if (!root.is_array()) {
throw std::runtime_error(
"Invalid locations JSON: root element must be an array");
}
std::vector<Location> locations;
const auto& items = root.as_array();
locations.reserve(items.size());
for (const auto& item : items) {
if (!item.is_object()) {
throw std::runtime_error(
"Invalid locations JSON: each entry must be an object");
}
const auto& object = item.as_object();
locations.push_back(Location{
.city = ReadRequiredString(object, "city"),
.state_province = ReadRequiredString(object, "state_province"),
.iso3166_2 = ReadRequiredString(object, "iso3166_2"),
.country = ReadRequiredString(object, "country"),
.iso3166_1 = ReadRequiredString(object, "iso3166_1"),
.latitude = ReadRequiredNumber(object, "latitude"),
.longitude = ReadRequiredNumber(object, "longitude"),
});
}
spdlog::info("[JsonLoader] Loaded {} locations from {}", locations.size(),
filepath);
return locations;
}

139
pipeline/src/main.cpp Normal file
View File

@@ -0,0 +1,139 @@
#include <spdlog/spdlog.h>
#include <boost/program_options.hpp>
#include <iostream>
#include <memory>
#include "biergarten_data_generator.h"
#include "web_client/curl_web_client.h"
namespace po = boost::program_options;
/**
* @brief Parse command-line arguments into ApplicationOptions.
*
* @param argc Command-line argument count.
* @param argv Command-line arguments.
* @param options Output ApplicationOptions struct.
* @return true if parsing succeeded and should proceed, false otherwise.
*/
bool ParseArguments(int argc, char** argv, ApplicationOptions& options) {
// If no arguments provided, display usage and exit
if (argc == 1) {
std::cout << "Biergarten Pipeline - Geographic Data Pipeline with "
"Brewery Generation\n\n";
std::cout << "Usage: biergarten-pipeline [options]\n\n";
std::cout << "Options:\n";
std::cout << " --mocked Use mocked generator for "
"brewery/user data\n";
std::cout << " --model, -m PATH Path to LLM model file (gguf) for "
"generation\n";
std::cout << " --cache-dir, -c DIR Directory for cached JSON (default: "
"/tmp)\n";
std::cout << " --temperature TEMP LLM sampling temperature 0.0-1.0 "
"(default: 0.8)\n";
std::cout << " --top-p VALUE Nucleus sampling parameter 0.0-1.0 "
"(default: 0.92)\n";
std::cout << " --n-ctx SIZE Context window size in tokens "
"(default: 4096)\n";
std::cout << " --seed SEED Random seed: -1 for random "
"(default: -1)\n";
std::cout << " --help, -h Show this help message\n\n";
std::cout << "Note: --mocked and --model are mutually exclusive. Exactly "
"one must be provided.\n";
return false;
}
po::options_description desc("Pipeline Options");
desc.add_options()("help,h", "Produce help message")(
"mocked", po::bool_switch(),
"Use mocked generator for brewery/user data")(
"model,m", po::value<std::string>()->default_value(""),
"Path to LLM model (gguf)")(
"cache-dir,c", po::value<std::string>()->default_value("/tmp"),
"Directory for cached JSON")(
"temperature", po::value<float>()->default_value(0.8f),
"Sampling temperature (higher = more random)")(
"top-p", po::value<float>()->default_value(0.92f),
"Nucleus sampling top-p in (0,1] (higher = more random)")(
"n-ctx", po::value<uint32_t>()->default_value(8192),
"Context window size in tokens (1-32768)")(
"seed", po::value<int>()->default_value(-1),
"Sampler seed: -1 for random, otherwise non-negative integer");
po::variables_map vm;
po::store(po::parse_command_line(argc, argv, desc), vm);
po::notify(vm);
if (vm.count("help")) {
std::cout << desc << "\n";
return false;
}
// Check for mutually exclusive --mocked and --model flags
bool use_mocked = vm["mocked"].as<bool>();
std::string model_path = vm["model"].as<std::string>();
if (use_mocked && !model_path.empty()) {
spdlog::error("ERROR: --mocked and --model are mutually exclusive");
return false;
}
if (!use_mocked && model_path.empty()) {
spdlog::error("ERROR: Either --mocked or --model must be specified");
return false;
}
// Warn if sampling parameters are provided with --mocked
if (use_mocked) {
bool hasTemperature = vm["temperature"].defaulted() == false;
bool hasTopP = vm["top-p"].defaulted() == false;
bool hasSeed = vm["seed"].defaulted() == false;
if (hasTemperature || hasTopP || hasSeed) {
spdlog::warn(
"WARNING: Sampling parameters (--temperature, --top-p, --seed) "
"are ignored when using --mocked");
}
}
options.use_mocked = use_mocked;
options.model_path = model_path;
options.cache_dir = vm["cache-dir"].as<std::string>();
options.temperature = vm["temperature"].as<float>();
options.top_p = vm["top-p"].as<float>();
options.n_ctx = vm["n-ctx"].as<uint32_t>();
options.seed = vm["seed"].as<int>();
// commit is always pinned to c5eb7772
return true;
}
int main(int argc, char* argv[]) {
try {
const CurlGlobalState curl_state;
ApplicationOptions options;
if (!ParseArguments(argc, argv, options)) {
return 0;
}
auto webClient = std::make_shared<CURLWebClient>();
BiergartenDataGenerator generator(options, webClient);
return generator.Run();
} catch (const std::exception& e) {
const std::string message = e.what() ? e.what() : "";
if (message.find("LlamaGenerator: malformed brewery response") !=
std::string::npos) {
spdlog::warn("WARNING: Non-fatal LLM failure after retries: {}",
message);
return 0;
}
spdlog::error("ERROR: Application failed: {}", e.what());
return 1;
}
}

View File

@@ -0,0 +1,141 @@
#include "web_client/curl_web_client.h"
#include <curl/curl.h>
#include <cstdio>
#include <fstream>
#include <memory>
#include <sstream>
#include <stdexcept>
CurlGlobalState::CurlGlobalState() {
if (curl_global_init(CURL_GLOBAL_DEFAULT) != CURLE_OK) {
throw std::runtime_error(
"[CURLWebClient] Failed to initialize libcurl globally");
}
}
CurlGlobalState::~CurlGlobalState() { curl_global_cleanup(); }
namespace {
// curl write callback that appends response data into a std::string
size_t WriteCallbackString(void* contents, size_t size, size_t nmemb,
void* userp) {
size_t realsize = size * nmemb;
auto* s = static_cast<std::string*>(userp);
s->append(static_cast<char*>(contents), realsize);
return realsize;
}
// curl write callback that writes to a file stream
size_t WriteCallbackFile(void* contents, size_t size, size_t nmemb,
void* userp) {
size_t realsize = size * nmemb;
auto* outFile = static_cast<std::ofstream*>(userp);
outFile->write(static_cast<char*>(contents), realsize);
return realsize;
}
// RAII wrapper for CURL handle using unique_ptr
using CurlHandle = std::unique_ptr<CURL, decltype(&curl_easy_cleanup)>;
CurlHandle create_handle() {
CURL* handle = curl_easy_init();
if (!handle) {
throw std::runtime_error(
"[CURLWebClient] Failed to initialize libcurl handle");
}
return CurlHandle(handle, &curl_easy_cleanup);
}
void set_common_get_options(CURL* curl, const std::string& url,
long connect_timeout, long total_timeout) {
curl_easy_setopt(curl, CURLOPT_URL, url.c_str());
curl_easy_setopt(curl, CURLOPT_USERAGENT, "biergarten-pipeline/0.1.0");
curl_easy_setopt(curl, CURLOPT_FOLLOWLOCATION, 1L);
curl_easy_setopt(curl, CURLOPT_MAXREDIRS, 5L);
curl_easy_setopt(curl, CURLOPT_CONNECTTIMEOUT, connect_timeout);
curl_easy_setopt(curl, CURLOPT_TIMEOUT, total_timeout);
curl_easy_setopt(curl, CURLOPT_ACCEPT_ENCODING, "gzip");
}
} // namespace
CURLWebClient::CURLWebClient() {}
CURLWebClient::~CURLWebClient() {}
void CURLWebClient::DownloadToFile(const std::string& url,
const std::string& file_path) {
auto curl = create_handle();
std::ofstream outFile(file_path, std::ios::binary);
if (!outFile.is_open()) {
throw std::runtime_error(
"[CURLWebClient] Cannot open file for writing: " + file_path);
}
set_common_get_options(curl.get(), url, 30L, 300L);
curl_easy_setopt(curl.get(), CURLOPT_WRITEFUNCTION, WriteCallbackFile);
curl_easy_setopt(curl.get(), CURLOPT_WRITEDATA,
static_cast<void*>(&outFile));
CURLcode res = curl_easy_perform(curl.get());
outFile.close();
if (res != CURLE_OK) {
std::remove(file_path.c_str());
std::string error = std::string("[CURLWebClient] Download failed: ") +
curl_easy_strerror(res);
throw std::runtime_error(error);
}
long httpCode = 0;
curl_easy_getinfo(curl.get(), CURLINFO_RESPONSE_CODE, &httpCode);
if (httpCode != 200) {
std::remove(file_path.c_str());
std::stringstream ss;
ss << "[CURLWebClient] HTTP error " << httpCode << " for URL " << url;
throw std::runtime_error(ss.str());
}
}
std::string CURLWebClient::Get(const std::string& url) {
auto curl = create_handle();
std::string response_string;
set_common_get_options(curl.get(), url, 10L, 20L);
curl_easy_setopt(curl.get(), CURLOPT_WRITEFUNCTION, WriteCallbackString);
curl_easy_setopt(curl.get(), CURLOPT_WRITEDATA, &response_string);
CURLcode res = curl_easy_perform(curl.get());
if (res != CURLE_OK) {
std::string error =
std::string("[CURLWebClient] GET failed: ") + curl_easy_strerror(res);
throw std::runtime_error(error);
}
long httpCode = 0;
curl_easy_getinfo(curl.get(), CURLINFO_RESPONSE_CODE, &httpCode);
if (httpCode != 200) {
std::stringstream ss;
ss << "[CURLWebClient] HTTP error " << httpCode << " for URL " << url;
throw std::runtime_error(ss.str());
}
return response_string;
}
std::string CURLWebClient::UrlEncode(const std::string& value) {
// A NULL handle is fine for UTF-8 encoding according to libcurl docs.
char* output = curl_easy_escape(nullptr, value.c_str(), 0);
if (output) {
std::string result(output);
curl_free(output);
return result;
}
throw std::runtime_error("[CURLWebClient] curl_easy_escape failed");
}

View File

@@ -0,0 +1,89 @@
#include "wikipedia/wikipedia_service.h"
#include <spdlog/spdlog.h>
#include <boost/json.hpp>
WikipediaService::WikipediaService(std::shared_ptr<WebClient> client)
: client_(std::move(client)) {}
std::string WikipediaService::FetchExtract(std::string_view query) {
const std::string encoded = client_->UrlEncode(std::string(query));
const std::string url =
"https://en.wikipedia.org/w/api.php?action=query&titles=" + encoded +
"&prop=extracts&explaintext=1&format=json";
const std::string body = client_->Get(url);
boost::system::error_code ec;
boost::json::value doc = boost::json::parse(body, ec);
if (!ec && doc.is_object()) {
try {
auto& pages = doc.at("query").at("pages").get_object();
if (!pages.empty()) {
auto& page = pages.begin()->value().get_object();
if (page.contains("extract") && page.at("extract").is_string()) {
std::string extract(page.at("extract").as_string().c_str());
spdlog::debug("WikipediaService fetched {} chars for '{}'",
extract.size(), query);
return extract;
}
}
} catch (const std::exception& e) {
spdlog::warn(
"WikipediaService: failed to parse response structure for '{}': "
"{}",
query, e.what());
return {};
}
} else if (ec) {
spdlog::warn("WikipediaService: JSON parse error for '{}': {}", query,
ec.message());
}
return {};
}
std::string WikipediaService::GetSummary(std::string_view city,
std::string_view country) {
const std::string key = std::string(city) + "|" + std::string(country);
const auto cacheIt = cache_.find(key);
if (cacheIt != cache_.end()) {
return cacheIt->second;
}
std::string result;
if (!client_) {
cache_.emplace(key, result);
return result;
}
std::string regionQuery(city);
if (!country.empty()) {
regionQuery += ", ";
regionQuery += country;
}
const std::string beerQuery = "beer in " + std::string(country);
try {
const std::string regionExtract = FetchExtract(regionQuery);
const std::string beerExtract = FetchExtract(beerQuery);
if (!regionExtract.empty()) {
result += regionExtract;
}
if (!beerExtract.empty()) {
if (!result.empty()) result += "\n\n";
result += beerExtract;
}
} catch (const std::runtime_error& e) {
spdlog::debug("WikipediaService lookup failed for '{}': {}", regionQuery,
e.what());
}
cache_.emplace(key, result);
return result;
}

View File

@@ -31,7 +31,6 @@
<ProjectReference Include="..\..\Infrastructure\Infrastructure.Repository\Infrastructure.Repository.csproj" />
<ProjectReference Include="..\..\Infrastructure\Infrastructure.Jwt\Infrastructure.Jwt.csproj" />
<ProjectReference Include="..\..\Service\Service.Auth\Service.Auth.csproj" />
<ProjectReference Include="..\..\Service\Service.Breweries\Service.Breweries.csproj" />
<ProjectReference Include="..\..\Service\Service.UserManagement\Service.UserManagement.csproj" />
</ItemGroup>

View File

@@ -86,13 +86,6 @@ namespace API.Core.Controllers
);
}
[HttpPost("confirm/resend")]
public async Task<ActionResult> ResendConfirmation([FromQuery] Guid userId)
{
await confirmationService.ResendConfirmationEmailAsync(userId);
return Ok(new ResponseBody { Message = "confirmation email has been resent" });
}
[AllowAnonymous]
[HttpPost("refresh")]
public async Task<ActionResult> Refresh(

View File

@@ -1,15 +1,20 @@
using API.Core;
using API.Core.Authentication;
using API.Core.Contracts.Common;
using Domain.Exceptions;
using FluentValidation;
using FluentValidation.AspNetCore;
using Infrastructure.Email;
using Infrastructure.Email.Templates;
using Infrastructure.Email.Templates.Rendering;
using Infrastructure.Jwt;
using Infrastructure.PasswordHashing;
using Infrastructure.Repository.Auth;
using Infrastructure.Repository.Sql;
using Infrastructure.Repository.UserAccount;
using Infrastructure.Repository.Breweries;
using Microsoft.AspNetCore.Authentication;
using Microsoft.AspNetCore.Mvc;
using Microsoft.AspNetCore.Mvc.Filters;
using Service.Auth;
using Service.Emails;
using Service.UserManagement.User;
@@ -50,7 +55,6 @@ builder.Services.AddSingleton<
builder.Services.AddScoped<IUserAccountRepository, UserAccountRepository>();
builder.Services.AddScoped<IAuthRepository, AuthRepository>();
builder.Services.AddScoped<IBreweryRepository, BreweryRepository>();
builder.Services.AddScoped<IUserService, UserService>();
builder.Services.AddScoped<ILoginService, LoginService>();

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