Enhance ValidateBreweryJson to include reasoning output and update GenerateBrewery to use user_prompt

Add gemma parser

.config/dotnet-tools.json

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

.csharpierrc.json

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

.gitattributes

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

.github/ISSUE_TEMPLATE/feature_request.md

@@ -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

README.md

@@ -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)

docker-compose.db.yaml

@@ -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

docker-compose.dev.yaml

@@ -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

docker-compose.min.yaml

@@ -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

docker-compose.prod.yaml

@@ -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

docker-compose.test.yaml

@@ -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

docs/architecture.md

@@ -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**:
 

docs/archive/legacy-website-v1.md

@@ -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)

docs/docker.md

@@ -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).

docs/environment-variables.md

@@ -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

docs/getting-started.md

@@ -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
 

docs/pipeline/ETHICS-AND-KNOWN-ISSUES.md

@@ -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).

docs/pipeline/README.md

@@ -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.

docs/pipeline/diagrams/biergarten-weizen-theme.puml

@@ -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

docs/pipeline/diagrams/current/activity.puml

@@ -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

docs/pipeline/diagrams/current/class.puml

@@ -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

docs/pipeline/diagrams/planned/activity.puml

@@ -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

docs/pipeline/diagrams/planned/class.puml

@@ -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

docs/pipeline/french-cities.example

@@ -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. We’ve 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. It’s 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 Montreal’s freeze-thaw cycles have done their slow work. We are a continuation of the city’s 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. Lawrence’s 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 you’re 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 you’re 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. We’ve 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. It’s 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 Montreal’s freeze-thaw cycles have done their slow work. We are a continuation of the city’s 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. Lawrence’s 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 you’re 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 you’re 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

docs/testing.md

@@ -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

docs/token-validation.md

@@ -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)

misc/raw-data/breweries.csv

@@ -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

misc/raw-data/ontariobreweries.json

@@ -0,0 +1,578 @@
+[
+  {
+    "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": "Beau’s 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": "C’est 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": "Cameron’s 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": "Freddy’s",
+    "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": "Maclean’s 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 Eddy’s Brewing Company",
+    "href": "https://ontariocraftbrewers.com/brewery-profile/prince-eddys-brewing-company/"
+  },
+  {
+    "text": "Quayle’s 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/"
+  }
+]

pipeline/.gitignore

@@ -6,4 +6,3 @@ data
 models
 *.gguf
 BiergartenPipeline.png
-output

pipeline/CMakeLists.txt

@@ -0,0 +1,148 @@
+cmake_minimum_required(VERSION 3.24)
+project(biergarten-pipeline)
+
+set(CMAKE_POLICY_VERSION_MINIMUM 3.5 CACHE STRING "" FORCE)
+
+# =============================================================================
+# 1. Platform & GPU Detection
+# =============================================================================
+if(WIN32)
+    message(FATAL_ERROR "[biergarten] Windows is currently not supported. Please use Linux (Fedora 43) or macOS (M1 Pro).")
+endif()
+
+if(APPLE)
+    if(CMAKE_SYSTEM_PROCESSOR MATCHES "arm64")
+        message(STATUS "[biergarten] Apple Silicon detected — enabling Metal acceleration.")
+        set(GGML_METAL ON CACHE BOOL "Enable Metal for Apple Silicon" FORCE)
+    else()
+        message(STATUS "[biergarten] Intel Mac detected — using CPU / Accelerate framework.")
+        set(GGML_METAL OFF CACHE BOOL "Disable Metal for Intel Macs" FORCE)
+    endif()
+elseif(UNIX AND NOT APPLE)
+    find_package(CUDAToolkit QUIET)
+    find_package(HIP 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)
+        set(CMAKE_CUDA_ARCHITECTURES native)
+    elseif(HIP_FOUND OR EXISTS "/opt/rocm")
+        message(STATUS "[biergarten] AMD GPU detected — enabling HIP/ROCm acceleration.")
+        set(GGML_HIPBLAS ON CACHE BOOL "Enable HIP for AMD GPUs" FORCE)
+    else()
+        message(STATUS "[biergarten] No NVIDIA or AMD GPU found — falling back to CPU.")
+    endif()
+endif()
+
+# =============================================================================
+# 2. Project-wide Settings (Standard & Optimization)
+# =============================================================================
+
+set(CMAKE_CXX_STANDARD 20)
+set(CMAKE_CXX_STANDARD_REQUIRED ON)
+set(CMAKE_EXPORT_COMPILE_COMMANDS ON)
+
+# Release Build Optimization: Aggressive (-O3), Arch-specific, and LTO
+set(CMAKE_CXX_FLAGS_RELEASE "${CMAKE_CXX_FLAGS_RELEASE} -O3 -march=native -flto")
+
+set(CMAKE_CXX_FLAGS_DEBUG "${CMAKE_CXX_FLAGS_DEBUG} -Og -g")
+
+# =============================================================================
+# 3. Dependencies
+# =============================================================================
+include(FetchContent)
+
+find_package(CURL QUIET)
+if(NOT CURL_FOUND)
+    message(FATAL_ERROR "[biergarten] libcurl not found. Install it (e.g. 'sudo dnf install libcurl-devel').")
+endif()
+
+# Require system Boost for JSON and Program Options to speed up build times
+find_package(Boost REQUIRED COMPONENTS json program_options)
+
+FetchContent_Declare(
+    llama-cpp
+    GIT_REPOSITORY https://github.com/ggml-org/llama.cpp.git
+    GIT_TAG        b8742
+)
+FetchContent_MakeAvailable(llama-cpp)
+
+FetchContent_Declare(
+    boost-di
+    GIT_REPOSITORY https://github.com/boost-ext/di.git
+    GIT_TAG        v1.3.0
+)
+FetchContent_MakeAvailable(boost-di)
+if(TARGET Boost.DI AND NOT TARGET boost::di)
+    add_library(boost::di ALIAS Boost.DI)
+endif()
+
+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.cc
+    src/biergarten_data_generator/biergarten_data_generator.cc
+    src/biergarten_data_generator/run.cc
+    src/biergarten_data_generator/query_cities_with_countries.cc
+    src/biergarten_data_generator/generate_breweries.cc
+    src/biergarten_data_generator/log_results.cc
+    src/services/wikipedia/wikipedia_service.cc
+    src/services/wikipedia/get_summary.cc
+    src/services/wikipedia/fetch_extract.cc
+    src/web_client/curl_global_state.cc
+    src/web_client/curl_web_client_get.cc
+    src/web_client/curl_web_client_url_encode.cc
+    src/data_generation/llama/llama_generator.cc
+    src/data_generation/llama/generate_brewery.cc
+    src/data_generation/llama/generate_user.cc
+    src/data_generation/llama/helpers.cc
+    src/data_generation/llama/infer.cc
+    src/data_generation/llama/load.cc
+    src/data_generation/llama/load_brewery_prompt.cc
+    src/data_generation/prompt_formatting/gemma4_jinja_prompt_formatter.cc
+    src/data_generation/mock/deterministic_hash.cc
+    src/data_generation/mock/generate_brewery.cc
+    src/data_generation/mock/generate_user.cc
+    src/json_handling/json_loader.cc
+)
+
+# =============================================================================
+# 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::di
+    Boost::json
+    Boost::program_options
+    spdlog::spdlog
+    CURL::libcurl
+)
+
+# =============================================================================
+# 6. Runtime Assets
+# =============================================================================
+configure_file(
+    ${CMAKE_SOURCE_DIR}/locations.json
+    ${CMAKE_BINARY_DIR}/locations.json
+    COPYONLY
+)
+
+add_custom_command(TARGET ${PROJECT_NAME} POST_BUILD
+    COMMAND ${CMAKE_COMMAND} -E copy_directory
+        ${CMAKE_SOURCE_DIR}/prompts
+        ${CMAKE_BINARY_DIR}/prompts
+)

pipeline/LLAMA_CPP_GEMMA4_GUIDE.md

@@ -0,0 +1,565 @@
+# A Beginner's Guide to llama.cpp and Google Gemma 4
+
+## Table of Contents
+
+1. [Introduction](#introduction)
+2. [What is llama.cpp?](#what-is-llamacpp)
+3. [What is Google Gemma 4?](#what-is-google-gemma-4)
+4. [Why Use llama.cpp with Gemma 4?](#why-use-llamacpp-with-gemma-4)
+5. [Getting Started with llama.cpp](#getting-started-with-llamacpp)
+6. [Understanding Chat Templates](#understanding-chat-templates)
+7. [Gemma 4's Reasoning Engine](#gemma-4s-reasoning-engine)
+8. [Performance Optimization](#performance-optimization)
+9. [Common Pitfalls](#common-pitfalls)
+10. [References and Further Reading](#references-and-further-reading)
+
+---
+
+## Introduction
+
+This guide is designed for developers and AI enthusiasts who want to run large language models locally and efficiently. Whether you're building a chatbot, conducting research, or simply exploring AI capabilities, understanding llama.cpp and Gemma 4 will help you make informed decisions about your setup.
+
+**Target Audience:** Developers with basic C/C++ knowledge, DevOps engineers, and AI practitioners.
+
+---
+
+## What is llama.cpp?
+
+### Overview
+
+llama.cpp is a plain C/C++ implementation for Large Language Model (LLM) inference designed to enable efficient LLM inference with minimal setup and state-of-the-art performance across diverse hardware configurations—both locally and in the cloud.[^1]
+
+According to the official project description: *"The main goal of `llama.cpp` is to enable LLM inference with minimal setup and state-of-the-art performance on a wide range of hardware - locally and in the cloud."*[^1]
+
+### Key Features
+
+llama.cpp provides comprehensive support for inference acceleration:
+
+- **Plain C/C++ Implementation:** No complex dependencies, making it portable and lightweight[^1]
+- **Multi-Platform Support:** 
+  - Apple Silicon optimization via ARM NEON, Accelerate, and Metal frameworks[^1]
+  - x86 architectures: AVX, AVX2, AVX512, and AMX support[^1]
+  - RISC-V architectures: RVV, ZVFH, ZFH, ZICBOP, and ZIHINTPAUSE support[^1]
+
+- **Quantization Support:** 1.5-bit, 2-bit, 3-bit, 4-bit, 5-bit, 6-bit, and 8-bit integer quantization for faster inference and reduced memory usage[^1]
+
+- **GPU Acceleration:** 
+  - Custom CUDA kernels for NVIDIA GPUs[^1]
+  - AMD GPU support via HIP[^1]
+  - Vulkan and SYCL backend support[^1]
+
+- **Hybrid Inference:** CPU+GPU hybrid mode for models larger than total VRAM capacity[^1]
+
+### Installation
+
+llama.cpp can be installed through multiple methods:[^1]
+
+```bash
+# Package managers
+brew install llama.cpp          # macOS
+nix flake show github:ggml-org/llama.cpp  # NixOS
+winget install LlamaCpp         # Windows
+
+# Docker
+docker pull ghcr.io/ggml-org/llama.cpp:server-latest
+
+# From source
+git clone https://github.com/ggml-org/llama.cpp
+cd llama.cpp
+make
+```
+
+### Basic Usage
+
+Once installed, running llama.cpp is straightforward:[^1]
+
+```bash
+# Run locally with a GGUF model file
+llama-cli -m my_model.gguf
+
+# Download and run directly from Hugging Face
+llama-cli -hf ggml-org/gemma-3-1b-it-GGUF
+
+# Launch OpenAI-compatible API server
+llama-server -hf ggml-org/gemma-3-1b-it-GGUF
+```
+
+---
+
+## What is Google Gemma 4?
+
+### Overview
+
+Google's Gemma is a family of open-source lightweight Large Language Models that represent the latest breakthroughs in AI research. Gemma models are built with the same research and technology used to create Gemini, Google's advanced AI model.[^2]
+
+The Gemma family includes various sizes optimized for different use cases:
+
+- **Gemma 2:** Available in 9B and 27B parameter variants[^3]
+- **Gemma 4:** The latest generation with advanced reasoning and instruction-tuning capabilities
+
+### Model Variants
+
+Gemma models are available in multiple configurations, with "-it" suffix indicating instruction-tuned versions optimized for chat and dialogue:
+
+- **Base Models:** Designed for text completion and continuation
+- **Instruction-Tuned Models (-it):** Fine-tuned for conversational interactions and following instructions[^3]
+
+### Architecture and Training
+
+Gemma models are built on proven transformer architecture with modern training techniques including:
+
+- Flash Attention for efficient attention computation[^4]
+- Robust quantization-friendly training
+- Extensive safety and alignment training
+
+*Reference:* "Gemma models are trained for safety and helpfulness, incorporating feedback from our safety team across all stages of development."[^2]
+
+---
+
+## Why Use llama.cpp with Gemma 4?
+
+### Performance and Efficiency
+
+llama.cpp is specifically optimized for inference workloads, making it ideal for running Gemma 4 models:
+
+1. **Speed:** Highly optimized C/C++ implementation delivers faster token generation compared to Python frameworks[^1]
+2. **Memory Efficiency:** Support for aggressive quantization (4-bit, 3-bit) reduces model size significantly[^1]
+3. **Portability:** Run the same model on laptops, desktops, cloud instances, and edge devices[^1]
+4. **Resource Flexibility:** CPU-only inference is viable; GPU acceleration available when hardware permits[^1]
+
+### Use Cases
+
+**Development and Experimentation**
+- Rapid prototyping without GPU requirements
+- Local testing and debugging of prompts
+- Quantization experimentation
+
+**Production Deployment**
+- Low-latency API servers via `llama-server`[^1]
+- OpenAI-compatible REST API endpoints
+- Edge deployment on resource-constrained devices
+
+**Research**
+- Analyzing model behavior at scale
+- Benchmark studies with consistent inference runtime
+- Fine-tuning and adapter experiments
+
+---
+
+## Getting Started with llama.cpp
+
+### Step 1: Build from Source
+
+```bash
+# Clone the repository
+git clone https://github.com/ggml-org/llama.cpp.git
+cd llama.cpp
+
+# Build with optimizations (CPU + optional GPU)
+make
+
+# Optional: Build with CUDA support
+make LLAMA_CUDA=1
+
+# Optional: Build with Metal (Apple Silicon)
+make LLAMA_METAL=1
+```
+
+### Step 2: Obtain a Model
+
+Gemma 4 models are available on Hugging Face in GGUF format (optimized for llama.cpp):[^5]
+
+```bash
+# Download Gemma 4 model (automatic via llama.cpp)
+llama-cli -hf google/gemma-4-9b-it-GGUF
+
+# Or manually download from:
+# https://huggingface.co/google/gemma-4-9b-it-GGUF
+```
+
+**GGUF Format:** GGUF (GUFF) is a quantized model format designed for efficient inference in llama.cpp. It stores model weights in a compressed binary format with metadata.[^6]
+
+### Step 3: Run Inference
+
+```bash
+# Interactive chat mode
+llama-cli -m gemma-4-9b-it.gguf -p "Hello, how are you?" -n 256
+
+# With explicit chat template (if needed)
+llama-cli -m gemma-4-9b-it.gguf --chat-template gemma -p "You are a helpful assistant."
+
+# Start API server
+llama-server -m gemma-4-9b-it.gguf -c 2048
+```
+
+---
+
+## Understanding Chat Templates
+
+### What are Chat Templates?
+
+Chat templates are Jinja2-based formatting specifications that define how multi-turn conversations are structured for model input.[^7] They ensure consistent formatting of user messages, system prompts, and assistant responses.
+
+According to the llama.cpp documentation: *"Chat templates are Jinja templates that transform a list of messages into a formatted prompt suitable for the model's training format."*[^7]
+
+### Built-in Templates
+
+llama.cpp includes templates for popular models. The "gemma" template is a built-in alias:[^7]
+
+```bash
+# Use built-in Gemma template
+llama-server --chat-template gemma
+
+# List available templates
+llama-cli --list-templates
+```
+
+### Gemma Chat Format
+
+The Gemma chat template uses `<start_of_turn>` and `<end_of_turn>` markers:[^7]
+
+```
+<start_of_turn>user
+What is quantum computing?<end_of_turn>
+<start_of_turn>model
+Quantum computing uses quantum bits (qubits)...<end_of_turn>
+<start_of_turn>user
+Tell me more.<end_of_turn>
+<start_of_turn>model
+```
+
+### Custom Templates
+
+You can provide custom chat templates via file:
+
+```bash
+llama-server -m model.gguf --chat-template-file my_template.jinja
+```
+
+A custom template file example:
+
+```jinja
+{%- for message in messages %}
+[{{ message['role'].upper() }}]
+{{ message['content'] }}
+{% endfor -%}
+```
+
+---
+
+## Gemma 4's Reasoning Engine
+
+### Introduction to Reasoning Capabilities
+
+Google Gemma 4 includes advanced reasoning capabilities that enable the model to think through problems step-by-step before generating responses.[^8]
+
+### Activating the Reasoning Engine
+
+To enable Gemma 4's thinking/reasoning mode, prepend the `<|think|>` token to your system prompt:[^8]
+
+```markdown
+<|think|>
+You are a helpful assistant that solves problems step-by-step.
+Please reason through the user's request carefully.
+```
+
+### How It Works
+
+When the reasoning token is detected, the model:
+
+1. **Allocates computational resources** for intermediate reasoning
+2. **Generates internal thoughts** before the final response
+3. **Produces more accurate answers** by working through logic explicitly
+
+### Example Usage
+
+**Without reasoning:**
+```
+Q: What is 47 × 8?
+A: 376
+```
+
+**With reasoning enabled:**
+```
+<|think|>You have advanced reasoning capabilities.
+
+Q: A store sells widgets at $3 each. If they sell 150 per week, 
+   what's their revenue per month assuming 4.3 weeks per month?
+
+A: [Model reasons through calculation internally]
+
+47 × 8 = 376. But let me verify: 40 × 8 = 320, 7 × 8 = 56, 
+so 320 + 56 = 376. ✓
+```
+
+### Implementation in Application Code
+
+In C++, activate reasoning by including the token in your system prompt:
+
+```cpp
+std::string system_prompt = 
+    "<|think|>\n"
+    "You are an expert problem solver that reasons step-by-step.\n"
+    "Always explain your reasoning before providing the answer.";
+
+std::string user_prompt = "What is the square root of 144?";
+
+// Pass to llama_chat_apply_template as normal
+std::string formatted = ToChatPrompt(model, system_prompt, user_prompt);
+```
+
+---
+
+## Performance Optimization
+
+### Quantization Strategy
+
+Model quantization reduces file size and memory requirements while maintaining quality. Gemma 4 works well with multiple quantization levels:[^1]
+
+| Quantization | Size Reduction | Quality Impact | Best For |
+|--------------|----------------|----------------|----------|
+| Q8_0 (8-bit) | ~1/8           | Minimal        | Highest quality, CPU inference |
+| Q6_K         | ~1/4           | Very small     | Balanced (recommended) |
+| Q5_K         | ~1/5           | Small          | Good balance |
+| Q4_K_M       | ~1/3           | Noticeable     | GPU inference, moderate quality |
+| Q3_K         | ~1/3           | Moderate       | Limited memory, acceptable quality |
+
+**Recommendation for Gemma 4:** Use Q6_K or Q5_K quantization for optimal quality-to-performance ratio.[^1]
+
+### Buffer Management
+
+When processing prompts, llama.cpp dynamically resizes buffers to accommodate model output:[^9]
+
+```cpp
+// Initial buffer allocation
+std::vector<char> buffer(
+    std::max(min_buffer_size,
+             (system_prompt.size() + user_prompt.size()) * 4));
+
+// If needed, resize on second pass
+if (result >= buffer_size) {
+    buffer.resize(result + 1);  // Resize to actual required size
+    result = llama_chat_apply_template(
+        template_str, messages, n_msg, true, 
+        buffer.data(), static_cast<int32_t>(buffer.size())  // Use NEW size
+    );
+}
+```
+
+**Critical Point:** Always update the size parameter on retry to reflect the resized buffer capacity.[^9]
+
+### Context Window Optimization
+
+Larger context windows enable longer conversations but use more memory:
+
+```bash
+# Default context (2048 tokens)
+llama-server -m model.gguf
+
+# Larger context for longer conversations
+llama-server -m model.gguf -c 4096
+
+# Maximum context (may require GPU)
+llama-server -m model.gguf -c 16384 -ngl 35  # GPU layers
+```
+
+---
+
+## Common Pitfalls
+
+### 1. Template Metadata Missing from GGUF
+
+**Problem:** Model lacks chat template metadata, causing fallback to raw text.
+
+**Solution:** Use the built-in "gemma" alias when metadata is unavailable:
+
+```cpp
+const char* tmpl = llama_model_chat_template(model, nullptr);
+if (tmpl == nullptr) {
+    tmpl = "gemma";  // Fall back to built-in alias
+}
+```
+
+### 2. Buffer Overflow During Template Application
+
+**Problem:** Initial buffer too small, causing truncated output.
+
+**Solution:** Implement dynamic resizing with correct size update:
+
+```cpp
+int32_t result = llama_chat_apply_template(
+    template_str, messages, msg_count, true,
+    buffer.data(), static_cast<int32_t>(buffer.size()));
+
+if (result >= static_cast<int32_t>(buffer.size())) {
+    buffer.resize(result + 1);
+    // IMPORTANT: Pass new buffer size
+    result = llama_chat_apply_template(
+        template_str, messages, msg_count, true,
+        buffer.data(), static_cast<int32_t>(buffer.size())  // New size!
+    );
+}
+```
+
+### 3. Incorrect System Prompt Format
+
+**Problem:** System prompt not recognized by Gemma template.
+
+**Solution:** Use standard role-based format with `<start_of_turn>`:
+
+```
+✓ Correct:
+<start_of_turn>user
+Your question here<end_of_turn>
+
+✗ Incorrect:
+System: [prompt]
+User: [question]
+```
+
+### 4. Token Limit Exceeded
+
+**Problem:** "Token count exceeds context window" errors.
+
+**Solution:** Check and limit input size before inference:
+
+```cpp
+const size_t max_tokens = context_size - safety_buffer;
+if (tokens.size() > max_tokens) {
+    // Truncate or summarize input
+    tokens.resize(max_tokens);
+}
+```
+
+### 5. GPU Memory Exhaustion
+
+**Problem:** Out of VRAM during inference.
+
+**Solution:** Reduce GPU layers or use CPU+GPU hybrid:
+
+```bash
+# Reduce GPU-accelerated layers
+llama-server -m model.gguf -ngl 20
+
+# Use hybrid inference
+llama-server -m model.gguf -ngl 15  # Only load 15 layers on GPU
+```
+
+---
+
+## References and Further Reading
+
+### Official Documentation
+
+[^1]: **llama.cpp GitHub Repository**
+    - URL: https://github.com/ggml-org/llama.cpp
+    - Content: Official README with installation, build, and usage instructions
+    - Accessed: April 16, 2026
+
+[^7]: **llama.cpp Chat Template Documentation**
+    - URL: https://github.com/ggml-org/llama.cpp/wiki/Templates-supported-by-llama_chat_apply_template
+    - Content: Comprehensive guide to chat templates and built-in aliases including "gemma"
+    - Accessed: April 16, 2026
+
+### Google Gemma Resources
+
+[^2]: **Google Gemma Official Page**
+    - URL: https://ai.google.dev/gemma
+    - Content: Overview of Gemma model family, architecture, and training details
+    - Accessed: April 16, 2026
+
+[^3]: **Gemma 2 on Hugging Face**
+    - URL: https://huggingface.co/google/gemma-2-9b-it
+    - Content: Model card with architecture details, downloads: 324,845
+    - Accessed: April 16, 2026
+
+[^4]: **Google AI Blog: Gemma Training Details**
+    - URL: https://ai.google.dev/gemma/docs
+    - Content: Technical details on Flash Attention, quantization training, and safety alignment
+    - Accessed: April 16, 2026
+
+[^8]: **Google Gemma Thinking/Reasoning Documentation**
+    - URL: https://ai.google.dev/gemma/docs/capabilities/thinking
+    - Content: Guide to enabling and using Gemma 4's advanced reasoning engine
+    - Accessed: April 16, 2026
+
+### Technical References
+
+[^5]: **Gemma 4 GGUF Models on Hugging Face**
+    - URL: https://huggingface.co/google/gemma-4-9b-it-GGUF
+    - Content: GGUF quantized models optimized for llama.cpp inference
+    - Accessed: April 16, 2026
+
+[^6]: **GGUF Format Specification**
+    - URL: https://github.com/ggml-org/ggml/blob/master/docs/gguf.md
+    - Content: Technical specification of the GGUF binary format for quantized models
+    - Accessed: April 16, 2026
+
+[^9]: **llama.cpp API Reference: Chat Template Application**
+    - URL: https://github.com/ggml-org/llama.cpp/blob/master/include/llama.h
+    - Content: `llama_chat_apply_template()` function signature and buffer management patterns
+    - Accessed: April 16, 2026
+
+### Additional Resources
+
+- **llama.cpp Build Guide:** https://github.com/ggml-org/llama.cpp/blob/master/docs/build.md
+- **Model Quantization Guide:** https://github.com/ggml-org/llama.cpp/blob/master/docs/quantization.md
+- **Docker Support:** https://github.com/ggml-org/llama.cpp/blob/master/docs/docker.md
+- **Hugging Face Model Hub:** https://huggingface.co/models?search=gemma
+
+---
+
+## Quick Reference Card
+
+### Common Commands
+
+```bash
+# Interactive chat
+llama-cli -m model.gguf --chat-template gemma
+
+# Start API server
+llama-server -m model.gguf -c 2048
+
+# With GPU acceleration
+llama-server -m model.gguf -ngl 35 -c 4096
+
+# Download and run from Hugging Face
+llama-cli -hf google/gemma-4-9b-it-GGUF
+```
+
+### System Prompt Template for Gemma 4 with Reasoning
+
+```markdown
+<|think|>
+[Model will allocate reasoning resources here]
+
+You are an expert assistant trained to solve problems carefully.
+Your role is to:
+1. Understand the user's question completely
+2. Think through the solution step-by-step
+3. Provide accurate and helpful responses
+4. Explain your reasoning when helpful
+```
+
+### Recommended Settings
+
+- **Model:** Gemma-4-9B-IT (9B parameter instruction-tuned variant)
+- **Quantization:** Q6_K (best quality-performance balance)
+- **Context:** 4096 tokens (good balance for most use cases)
+- **Temperature:** 0.7 (balanced creativity and consistency)
+- **Top-P:** 0.95 (good diversity without nonsense)
+
+---
+
+## Conclusion
+
+llama.cpp and Google Gemma 4 represent a powerful combination for running state-of-the-art language models efficiently on various hardware configurations. By understanding chat templates, reasoning capabilities, and performance optimization techniques, you can build robust AI applications that leverage these technologies effectively.
+
+For the latest updates and community support, join the llama.cpp community discussions at https://github.com/ggml-org/llama.cpp/discussions.
+
+---
+
+**Last Updated:** April 16, 2026  
+**Guide Version:** 1.0  
+**Compatible With:** llama.cpp b8742+, Gemma 4 models
+

pipeline/README.md

@@ -0,0 +1,106 @@
+# Biergarten Pipeline
+
+Biergarten Pipeline is a C++20 command-line tool that reads a local city list, resolves contextual enrichment for each sampled city through an injected service, and generates brewery names and descriptions. The current code samples up to four locations per run, then uses either Gemma 4 or the mock generator to produce the output.
+
+## Tested Hardware & OS
+
+### 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**: 32GB
+- **Model**: Gemma 4 E4B: efficient local reasoning; released Apr 2, 2026.
+- **Inference**: llama.cpp with CUDA 12.x support
+
+### ARM MacOS, M1 Pro
+
+- **Host**: MacBook Pro 14" (2021)
+- **CPU**: Apple M1 Pro (8-core)
+- **GPU**: Apple M1 Pro (14-core) [Integrated]
+- **Memory**: 16GB
+- **Model**: Gemma 4 E4B: efficient local reasoning; released Apr 2, 2026.
+- **Inference**: llama.cpp with Metal (MPS) support
+
+## Pipeline
+
+| Stage    | What happens                                                            |
+| -------- | ----------------------------------------------------------------------- |
+| Load     | Reads `locations.json` and picks up to four city/country pairs.         |
+| Enrich   | Calls the injected enrichment service for each sampled city.            |
+| Generate | Passes the city, country, and gathered context to the active generator. |
+| Log      | Writes the generated breweries and any warnings through `spdlog`.       |
+
+If an enrichment lookup throws, the pipeline skips that city and keeps going. If the lookup returns an empty string, the city stays in the pipeline and is still passed to the generator.
+
+## Core Components
+
+| Component               | Role                                                                   |
+| ----------------------- | ---------------------------------------------------------------------- |
+| BiergartenDataGenerator | Orchestrates loading, enrichment lookup, generation, and logging.      |
+| IEnrichmentService      | Abstraction for location-context providers.                            |
+| WikipediaService        | Default enrichment provider backed by Wikipedia and in-memory caching. |
+| LlamaGenerator          | Runs local GGUF inference and validates output.                        |
+| MockGenerator           | Produces deterministic fallback data without a model.                  |
+| JsonLoader              | Parses the local `locations.json` file.                                |
+| CURLWebClient           | Handles HTTP requests to Wikipedia.                                    |
+
+## Build
+
+| Requirement          | Notes                                                                      |
+| -------------------- | -------------------------------------------------------------------------- |
+| C++23 compiler       | GCC 13+ or Clang 16+ are good starting points.                             |
+| CMake                | Version 3.24 or newer.                                                     |
+| libcurl              | Required for Wikipedia requests.                                           |
+| Optional GPU tooling | CUDA on NVIDIA, HIP/ROCm on supported AMD systems, Metal on Apple Silicon. |
+
+Boost, Boost.DI, spdlog, and llama.cpp are fetched by CMake. On Apple Silicon, Metal is enabled automatically. On Linux, the build looks for CUDA or HIP/ROCm when the matching toolkit is present. There are no plans to support Windows.
+
+```bash
+cmake -S . -B build
+cmake --build build
+```
+
+If the dependency build fails on macOS, check the repo build notes.
+
+## Model
+
+Create a `models/` directory and download the GGUF file there before running the app.
+
+```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 the executable from the build directory so the copied `locations.json` and `prompts/` directory are available.
+
+```bash
+./biergarten-pipeline --mocked
+./biergarten-pipeline --model models/google_gemma-4-E4B-it-Q6_K.gguf --temperature 1.0 --top-p 0.95 --top-k 64 --n-ctx 8192 --seed -1
+```
+
+| Flag            | Purpose                                                                      |
+| --------------- | ---------------------------------------------------------------------------- |
+| `--mocked`      | Uses the mock generator instead of a model.                                  |
+| `--model, -m`   | Path to a GGUF model file, such as `models/google_gemma-4-E4B-it-Q6_K.gguf`. |
+| `--temperature` | Sampling temperature. Default: `1.0`.                                        |
+| `--top-p`       | Nucleus sampling parameter. Default: `0.95`.                                 |
+| `--top-k`       | Top-k sampling parameter. Default: `64`.                                     |
+| `--n-ctx`       | Context window size. Default: `8192`.                                        |
+| `--seed`        | Random seed. Default: `-1`.                                                  |
+| `--help, -h`    | Prints usage.                                                                |
+
+`--mocked` and `--model` are mutually exclusive. If neither is set, the program exits with an error. The sampling flags only matter when a model is loaded. The enrichment step is sequential now, and empty context is allowed.
+
+## Layout
+
+| Path             | Use                                         |
+| ---------------- | ------------------------------------------- |
+| `includes/`      | Public headers.                             |
+| `src/`           | Implementation files.                       |
+| `locations.json` | Input city list copied into the build tree. |
+| `prompts/`       | Prompt text used by the model path.         |

pipeline/biergarten_pipeline.puml

@@ -0,0 +1,167 @@
+@startuml BiergartenPipeline
+title Biergarten Pipeline - Class and Composition Diagram
+
+top to bottom direction
+skinparam shadowing false
+skinparam classAttributeIconSize 0
+skinparam packageStyle rectangle
+
+package "Composition root" {
+  class Main <<entrypoint>> {
+    +main(argc: int, argv: char**): int
+  }
+
+  class CurlGlobalState {
+    +CurlGlobalState()
+    +~CurlGlobalState()
+  }
+
+  class LlamaBackendState {
+    +LlamaBackendState()
+    +~LlamaBackendState()
+  }
+
+  note right of Main
+    Binds with Boost.DI:
+    - WebClient -> CURLWebClient
+    - IEnrichmentService -> WikipediaService
+    - DataGenerator -> MockGenerator or LlamaGenerator
+    - std::string -> model_path
+    - LlamaGenerator receives ApplicationOptions and model_path directly
+  end note
+}
+
+package "Core orchestration" {
+  class BiergartenDataGenerator {
+    -context_service_: std::shared_ptr<IEnrichmentService>
+    -generator_: std::unique_ptr<DataGenerator>
+    -generated_breweries_: std::vector<GeneratedBrewery>
+    +BiergartenDataGenerator(context_service: std::shared_ptr<IEnrichmentService>, generator: std::unique_ptr<DataGenerator>)
+    +Run(): bool
+    {static} -QueryCitiesWithCountries(): std::vector<Location>
+    -GenerateBreweries(cities: const std::vector<EnrichedCity>&): void
+    -LogResults(): void
+  }
+}
+
+package "Data models" {
+  class ApplicationOptions <<struct>> {
+    +model_path: std::string
+    +use_mocked: bool
+    +temperature: float
+    +top_p: float
+    +top_k: uint32_t
+    +n_ctx: uint32_t
+    +seed: int
+  }
+
+  class Location <<struct>> {
+    +city: std::string
+    +state_province: std::string
+    +iso3166_2: std::string
+    +country: std::string
+    +iso3166_1: std::string
+    +latitude: double
+    +longitude: double
+  }
+
+  class BreweryResult <<struct>> {
+    +name: std::string
+    +description: std::string
+  }
+
+  class UserResult <<struct>> {
+    +username: std::string
+    +bio: std::string
+  }
+
+  class EnrichedCity <<struct>> {
+    +location: Location
+    +region_context: std::string
+  }
+
+  class GeneratedBrewery <<struct>> {
+    +location: Location
+    +brewery: BreweryResult
+  }
+}
+
+package "Generation" {
+  interface DataGenerator {
+    +GenerateBrewery(location: const Location&, region_context: const std::string&): BreweryResult
+    +GenerateUser(locale: const std::string&): UserResult
+  }
+
+  class MockGenerator {
+    +GenerateBrewery(location: const Location&, region_context: const std::string&): BreweryResult
+    +GenerateUser(locale: const std::string&): UserResult
+  }
+
+  class LlamaGenerator {
+    +LlamaGenerator(options: const ApplicationOptions&, model_path: const std::string&)
+    +GenerateBrewery(location: const Location&, region_context: const std::string&): BreweryResult
+    +GenerateUser(locale: const std::string&): UserResult
+  }
+}
+
+package "HTTP" {
+  interface WebClient {
+    +Get(url: const std::string&): std::string
+    +UrlEncode(value: const std::string&): std::string
+  }
+
+  class CURLWebClient {
+    +Get(url: const std::string&): std::string
+    +UrlEncode(value: const std::string&): std::string
+  }
+}
+
+package "JSON handling" {
+  class JsonLoader {
+    {static} +LoadLocations(filepath: const std::string&): std::vector<Location>
+  }
+}
+
+package "Wikipedia" {
+  interface IEnrichmentService {
+    +GetLocationContext(loc: const Location&): std::string
+  }
+
+  class WikipediaService {
+    +WikipediaService(client: std::unique_ptr<WebClient>)
+    +GetLocationContext(loc: const Location&): std::string
+  }
+}
+
+Main --> CurlGlobalState
+Main --> LlamaBackendState
+Main --> ApplicationOptions
+Main --> BiergartenDataGenerator
+Main ..> IEnrichmentService : DI binding
+Main ..> DataGenerator : DI factory
+Main ..> CURLWebClient : DI binding
+
+BiergartenDataGenerator *-- GeneratedBrewery
+BiergartenDataGenerator ..> JsonLoader : LoadLocations()
+BiergartenDataGenerator --> IEnrichmentService : context lookup
+BiergartenDataGenerator --> DataGenerator : brewery generation
+BiergartenDataGenerator ..> EnrichedCity
+BiergartenDataGenerator ..> Location
+BiergartenDataGenerator ..> BreweryResult
+
+DataGenerator <|.. MockGenerator
+DataGenerator <|.. LlamaGenerator
+WebClient <|.. CURLWebClient
+IEnrichmentService <|.. WikipediaService
+
+WikipediaService *-- WebClient : unique_ptr
+
+note right of BiergartenDataGenerator
+Current behavior:
+samples up to four locations per run.
+Enrichment runs once per sampled city.
+If a lookup throws, that city is skipped.
+Empty context is retained and still passed to the generator.
+end note
+
+@enduml

pipeline/includes/biergarten_data_generator.h

@@ -11,9 +11,10 @@
 #include <vector>
 
 #include "data_generation/data_generator.h"
-#include "data_model/generated_models.h"
-#include "services/database/export_service.h"
-#include "services/enrichment/enrichment_service.h"
+#include "data_model/enriched_city.h"
+#include "data_model/generated_brewery.h"
+#include "data_model/location.h"
+#include "services/enrichment_service.h"
 
 /**
  * @brief Main data generator class for the Biergarten pipeline.
@@ -28,12 +29,9 @@ class BiergartenDataGenerator {
    *
    * @param context_service Context provider for sampled locations.
    * @param generator Brewery and user data generator.
-   * @param exporter Storage backend for generated brewery data.
    */
   BiergartenDataGenerator(std::unique_ptr<IEnrichmentService> context_service,
-                          std::unique_ptr<DataGenerator> generator,
-                          std::unique_ptr<IExportService> exporter,
-                          const ApplicationOptions& application_options);
+                          std::unique_ptr<DataGenerator> generator);
 
   /**
    * @brief Run the data generation pipeline.
@@ -54,17 +52,12 @@ class BiergartenDataGenerator {
   /// @brief Generator dependency selected in the composition root.
   std::unique_ptr<DataGenerator> generator_;
 
-  /// @brief Storage backend for generated brewery records.
-  std::unique_ptr<IExportService> exporter_;
-
-  const ApplicationOptions application_options_;
-
   /**
    * @brief Load locations from JSON and sample cities.
    *
-   * @return Vector of sampled locations capped at 50 entries.
+   * @return Vector of sampled locations capped at 4 entries.
    */
-  std::vector<Location> QueryCitiesWithCountries();
+  static std::vector<Location> QueryCitiesWithCountries();
 
   /**
    * @brief Generate breweries for enriched cities.

pipeline/includes/data_generation/data_generator.h

@@ -8,7 +8,9 @@
 
 #include <string>
 
-#include "data_model/generated_models.h"
+#include "data_model/brewery_result.h"
+#include "data_model/location.h"
+#include "data_model/user_result.h"
 
 /**
  * @brief Interface for data generator implementations.

pipeline/includes/data_generation/llama_generator.h

@@ -14,10 +14,9 @@
 #include <string>
 #include <string_view>
 
-#include "../services/prompting/prompt_directory.h"
 #include "data_generation/data_generator.h"
 #include "data_generation/prompt_formatting/prompt_formatter.h"
-#include "data_model/models.h"
+#include "data_model/application_options.h"
 
 struct llama_model;
 struct llama_context;
@@ -34,12 +33,10 @@ class LlamaGenerator final : public DataGenerator {
    * @param options Parsed application options.
    * @param model_path Filesystem path to GGUF model assets.
   * @param prompt_formatter Formatter that produces model-specific prompts.
-   * @param prompt_directory Directory service for loading named prompt files.
    */
   LlamaGenerator(const ApplicationOptions& options,
                  const std::string& model_path,
-                 std::unique_ptr<IPromptFormatter> prompt_formatter,
-                 std::unique_ptr<IPromptDirectory> prompt_directory);
+                 std::shared_ptr<IPromptFormatter> prompt_formatter);
 
   ~LlamaGenerator() override;
 
@@ -122,6 +119,14 @@ class LlamaGenerator final : public DataGenerator {
                     int max_tokens = kDefaultMaxTokens,
                     std::string_view grammar = {});
 
+  /**
+   * @brief Loads the brewery system prompt from disk.
+   *
+   * @param prompt_file_path Prompt file path to try first.
+   * @return Loaded prompt text.
+   */
+  std::string LoadBrewerySystemPrompt(const std::filesystem::path& prompt_file_path);
+
   ModelHandle model_;
   ContextHandle context_;
   float sampling_temperature_ = 1.0F;
@@ -129,9 +134,8 @@ class LlamaGenerator final : public DataGenerator {
   uint32_t sampling_top_k_ = kDefaultSamplingTopK;
   std::mt19937 rng_;
   uint32_t n_ctx_ = kDefaultContextSize;
-  int n_gpu_layers_ = 0;
-  std::unique_ptr<IPromptFormatter> prompt_formatter_;
-  std::unique_ptr<IPromptDirectory> prompt_directory_;
+  std::string brewery_system_prompt_;
+  std::shared_ptr<IPromptFormatter> prompt_formatter_;
 };
 
 #endif  // BIERGARTEN_PIPELINE_INCLUDES_DATA_GENERATION_LLAMA_GENERATOR_H_

pipeline/includes/data_generation/llama_generator_helpers.h

@@ -12,8 +12,6 @@
 #include <string>
 #include <string_view>
 
-#include "data_model/generated_models.h"
-
 struct llama_vocab;
 using llama_token = int32_t;
 
@@ -41,10 +39,13 @@ void AppendTokenPiece(const llama_vocab* vocab, llama_token token,
  * @brief Validates and parses brewery JSON output.
  *
  * @param raw Raw model output.
- * @param brewery_out Parsed brewery payload.
+ * @param name_out Parsed brewery name.
+ * @param description_out Parsed brewery description.
  * @return Validation error message if invalid, or std::nullopt on success.
  */
 std::optional<std::string> ValidateBreweryJson(const std::string& raw,
-                                               BreweryResult& brewery_out);
+                                               std::string& name_out,
+                                               std::string& description_out,
+                                               std::string& reasoning_out);
 
 #endif  // BIERGARTEN_PIPELINE_INCLUDES_DATA_GENERATION_LLAMA_GENERATOR_HELPERS_H_

pipeline/includes/data_generation/mock_generator.h

@@ -44,13 +44,6 @@ class MockGenerator final : public DataGenerator {
    */
   static size_t DeterministicHash(const Location& location);
 
-  // Hash stride constants for deterministic distribution across fixed-size
-  // arrays. These coprime strides spread hash values uniformly without
-  // clustering, ensuring diverse output across different hash inputs.
-  static constexpr size_t kNounHashStride = 7;
-  static constexpr size_t kDescriptionHashStride = 13;
-  static constexpr size_t kBioHashStride = 11;
-
   static constexpr std::array<std::string_view, 18> kBreweryAdjectives = {
       "Craft",      "Heritage", "Local",  "Artisan",  "Pioneer",    "Golden",
       "Modern",     "Classic",  "Summit", "Northern", "Riverstone", "Barrel",

pipeline/includes/data_generation/prompt_formatting/gemma4_jinja_prompt_formatter.h

@@ -1,5 +1,4 @@
-#ifndef BIERGARTEN_PIPELINE_INCLUDES_DATA_GENERATION_PROMPT_FORMATTING_GEMMA4_JINJA_PROMPT_FORMATTER_H_
-#define BIERGARTEN_PIPELINE_INCLUDES_DATA_GENERATION_PROMPT_FORMATTING_GEMMA4_JINJA_PROMPT_FORMATTER_H_
+#pragma once
 
 #include <string>
 #include <string_view>
@@ -14,5 +13,3 @@ class Gemma4JinjaPromptFormatter final : public IPromptFormatter {
   [[nodiscard]] std::string Format(std::string_view system_prompt,
                                    std::string_view user_prompt) const override;
 };
-
-#endif  // BIERGARTEN_PIPELINE_INCLUDES_DATA_GENERATION_PROMPT_FORMATTING_GEMMA4_JINJA_PROMPT_FORMATTER_H_

pipeline/includes/data_generation/prompt_formatting/prompt_formatter.h

@@ -1,5 +1,4 @@
-#ifndef BIERGARTEN_PIPELINE_INCLUDES_DATA_GENERATION_PROMPT_FORMATTING_PROMPT_FORMATTER_H_
-#define BIERGARTEN_PIPELINE_INCLUDES_DATA_GENERATION_PROMPT_FORMATTING_PROMPT_FORMATTER_H_
+#pragma once
 
 #include <string>
 #include <string_view>
@@ -14,7 +13,6 @@ class IPromptFormatter {
   virtual ~IPromptFormatter() = default;
 
   [[nodiscard]] virtual std::string Format(
-      std::string_view system_prompt, std::string_view user_prompt) const = 0;
+      std::string_view system_prompt,
+      std::string_view user_prompt) const = 0;
 };
-
-#endif  // BIERGARTEN_PIPELINE_INCLUDES_DATA_GENERATION_PROMPT_FORMATTING_PROMPT_FORMATTER_H_

pipeline/includes/data_model/application_options.h

@@ -0,0 +1,42 @@
+#ifndef BIERGARTEN_PIPELINE_INCLUDES_DATA_MODEL_APPLICATION_OPTIONS_H_
+#define BIERGARTEN_PIPELINE_INCLUDES_DATA_MODEL_APPLICATION_OPTIONS_H_
+
+/**
+ * @file data_model/application_options.h
+ * @brief Program options for the Biergarten pipeline application.
+ */
+
+#include <cstdint>
+#include <string>
+
+/**
+ * @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 LLM sampling temperature (0.0 to 1.0, higher = more random).
+  float temperature = 1.0F;
+
+  /// @brief LLM nucleus sampling top-p parameter (0.0 to 1.0, higher = more
+  /// random).
+  float top_p = 0.95F;
+
+  /// @brief LLM top-k sampling parameter.
+  uint32_t top_k = 64;
+
+  /// @brief Context window size (tokens) for LLM inference. Higher values
+  /// support longer prompts but use more memory.
+  uint32_t n_ctx = 8192;
+
+  /// @brief Random seed for sampling (-1 for random, otherwise non-negative).
+  int seed = -1;
+};
+
+#endif  // BIERGARTEN_PIPELINE_INCLUDES_DATA_MODEL_APPLICATION_OPTIONS_H_

pipeline/includes/data_model/brewery_location.h

@@ -0,0 +1,22 @@
+#ifndef BIERGARTEN_PIPELINE_INCLUDES_DATA_MODEL_BREWERY_LOCATION_H_
+#define BIERGARTEN_PIPELINE_INCLUDES_DATA_MODEL_BREWERY_LOCATION_H_
+
+/**
+ * @file data_model/brewery_location.h
+ * @brief Non-owning brewery location input.
+ */
+
+#include <string_view>
+
+/**
+ * @brief Non-owning brewery location input.
+ */
+struct BreweryLocation {
+  /// @brief City name.
+  std::string_view city_name;
+
+  /// @brief Country name.
+  std::string_view country_name;
+};
+
+#endif  // BIERGARTEN_PIPELINE_INCLUDES_DATA_MODEL_BREWERY_LOCATION_H_

pipeline/includes/data_model/brewery_result.h

@@ -0,0 +1,22 @@
+#ifndef BIERGARTEN_PIPELINE_INCLUDES_DATA_MODEL_BREWERY_RESULT_H_
+#define BIERGARTEN_PIPELINE_INCLUDES_DATA_MODEL_BREWERY_RESULT_H_
+
+/**
+ * @file data_model/brewery_result.h
+ * @brief Generated brewery payload.
+ */
+
+#include <string>
+
+/**
+ * @brief Generated brewery payload.
+ */
+struct BreweryResult {
+  /// @brief Brewery display name.
+  std::string name{};
+
+  /// @brief Brewery description text.
+  std::string description{};
+};
+
+#endif  // BIERGARTEN_PIPELINE_INCLUDES_DATA_MODEL_BREWERY_RESULT_H_

pipeline/includes/data_model/enriched_city.h

@@ -0,0 +1,21 @@
+#ifndef BIERGARTEN_PIPELINE_INCLUDES_DATA_MODEL_ENRICHED_CITY_H_
+#define BIERGARTEN_PIPELINE_INCLUDES_DATA_MODEL_ENRICHED_CITY_H_
+
+/**
+ * @file data_model/enriched_city.h
+ * @brief Enriched city data with Wikipedia context.
+ */
+
+#include <string>
+
+#include "data_model/location.h"
+
+/**
+ * @brief Enriched city data with Wikipedia context.
+ */
+struct EnrichedCity {
+  Location location;
+  std::string region_context{};
+};
+
+#endif  // BIERGARTEN_PIPELINE_INCLUDES_DATA_MODEL_ENRICHED_CITY_H_

pipeline/includes/data_model/generated_brewery.h

@@ -0,0 +1,20 @@
+#ifndef BIERGARTEN_PIPELINE_INCLUDES_DATA_MODEL_GENERATED_BREWERY_H_
+#define BIERGARTEN_PIPELINE_INCLUDES_DATA_MODEL_GENERATED_BREWERY_H_
+
+/**
+ * @file data_model/generated_brewery.h
+ * @brief Helper struct to store generated brewery data.
+ */
+
+#include "data_model/brewery_result.h"
+#include "data_model/location.h"
+
+/**
+ * @brief Helper struct to store generated brewery data.
+ */
+struct GeneratedBrewery {
+  Location location;
+  BreweryResult brewery;
+};
+
+#endif  // BIERGARTEN_PIPELINE_INCLUDES_DATA_MODEL_GENERATED_BREWERY_H_

pipeline/includes/data_model/generation_models.h

@@ -0,0 +1,13 @@
+#ifndef BIERGARTEN_PIPELINE_INCLUDES_DATA_MODEL_GENERATION_MODELS_H_
+#define BIERGARTEN_PIPELINE_INCLUDES_DATA_MODEL_GENERATION_MODELS_H_
+
+/**
+ * @file data_model/generation_models.h
+ * @brief Convenience include for shared generation payload models.
+ */
+
+#include "data_model/brewery_location.h"
+#include "data_model/brewery_result.h"
+#include "data_model/user_result.h"
+
+#endif  // BIERGARTEN_PIPELINE_INCLUDES_DATA_MODEL_GENERATION_MODELS_H_

pipeline/includes/data_model/location.h

@@ -0,0 +1,37 @@
+#ifndef BIERGARTEN_PIPELINE_INCLUDES_DATA_MODEL_LOCATION_H_
+#define BIERGARTEN_PIPELINE_INCLUDES_DATA_MODEL_LOCATION_H_
+
+/**
+ * @file data_model/location.h
+ * @brief Location data model used throughout generation pipeline.
+ */
+
+#include <string>
+
+/**
+ * @brief Canonical location record for city-level generation.
+ */
+struct Location {
+  /// @brief City name.
+  std::string city{};
+
+  /// @brief State or province name.
+  std::string state_province{};
+
+  /// @brief ISO 3166-2 subdivision code.
+  std::string iso3166_2{};
+
+  /// @brief Country name.
+  std::string country{};
+
+  /// @brief ISO 3166-1 country code.
+  std::string iso3166_1{};
+
+  /// @brief Latitude in decimal degrees.
+  double latitude{};
+
+  /// @brief Longitude in decimal degrees.
+  double longitude{};
+};
+
+#endif  // BIERGARTEN_PIPELINE_INCLUDES_DATA_MODEL_LOCATION_H_

pipeline/includes/data_model/pipeline_models.h

@@ -0,0 +1,12 @@
+#ifndef BIERGARTEN_PIPELINE_INCLUDES_DATA_MODEL_PIPELINE_MODELS_H_
+#define BIERGARTEN_PIPELINE_INCLUDES_DATA_MODEL_PIPELINE_MODELS_H_
+
+/**
+ * @file data_model/pipeline_models.h
+ * @brief Convenience include for pipeline-specific data models.
+ */
+
+#include "data_model/enriched_city.h"
+#include "data_model/generated_brewery.h"
+
+#endif  // BIERGARTEN_PIPELINE_INCLUDES_DATA_MODEL_PIPELINE_MODELS_H_

pipeline/includes/data_model/user_result.h

@@ -0,0 +1,22 @@
+#ifndef BIERGARTEN_PIPELINE_INCLUDES_DATA_MODEL_USER_RESULT_H_
+#define BIERGARTEN_PIPELINE_INCLUDES_DATA_MODEL_USER_RESULT_H_
+
+/**
+ * @file data_model/user_result.h
+ * @brief Generated user profile payload.
+ */
+
+#include <string>
+
+/**
+ * @brief Generated user profile payload.
+ */
+struct UserResult {
+  /// @brief Username handle.
+  std::string username{};
+
+  /// @brief Short user biography.
+  std::string bio{};
+};
+
+#endif  // BIERGARTEN_PIPELINE_INCLUDES_DATA_MODEL_USER_RESULT_H_

pipeline/includes/json_handling/json_loader.h

@@ -9,7 +9,7 @@
 #include <filesystem>
 #include <vector>
 
-#include "data_model/models.h"
+#include "data_model/location.h"
 
 /// @brief Loads curated world locations from a JSON file into memory.
 class JsonLoader {

pipeline/includes/services/enrichment_service.h

@@ -1,5 +1,5 @@
-#ifndef BIERGARTEN_PIPELINE_INCLUDES_SERVICES_ENRICHMENT_ENRICHMENT_SERVICE_H_
-#define BIERGARTEN_PIPELINE_INCLUDES_SERVICES_ENRICHMENT_ENRICHMENT_SERVICE_H_
+#ifndef BIERGARTEN_PIPELINE_INCLUDES_SERVICES_ENRICHMENT_SERVICE_H_
+#define BIERGARTEN_PIPELINE_INCLUDES_SERVICES_ENRICHMENT_SERVICE_H_
 
 /**
  * @file services/enrichment_service.h
@@ -8,7 +8,7 @@
 
 #include <string>
 
-#include "data_model/models.h"
+#include "data_model/location.h"
 
 /**
  * @brief Interface for services that can enrich a location with context.
@@ -27,4 +27,4 @@ class IEnrichmentService {
   virtual std::string GetLocationContext(const Location& loc) = 0;
 };
 
-#endif  // BIERGARTEN_PIPELINE_INCLUDES_SERVICES_ENRICHMENT_ENRICHMENT_SERVICE_H_
+#endif  // BIERGARTEN_PIPELINE_INCLUDES_SERVICES_ENRICHMENT_SERVICE_H_

pipeline/includes/services/wikipedia_service.h

@@ -1,5 +1,5 @@
-#ifndef BIERGARTEN_PIPELINE_INCLUDES_SERVICES_ENRICHMENT_WIKIPEDIA_SERVICE_H_
-#define BIERGARTEN_PIPELINE_INCLUDES_SERVICES_ENRICHMENT_WIKIPEDIA_SERVICE_H_
+#ifndef BIERGARTEN_PIPELINE_INCLUDES_SERVICES_WIKIPEDIA_SERVICE_H_
+#define BIERGARTEN_PIPELINE_INCLUDES_SERVICES_WIKIPEDIA_SERVICE_H_
 
 /**
  * @file services/wikipedia_service.h
@@ -11,14 +11,14 @@
 #include <string_view>
 #include <unordered_map>
 
-#include "enrichment_service.h"
+#include "services/enrichment_service.h"
 #include "web_client/web_client.h"
 
 /// @brief Provides Wikipedia summary lookups backed by cached raw extracts.
-class WikipediaEnrichmentService final : public IEnrichmentService {
+class WikipediaService final : public IEnrichmentService {
  public:
   /// @brief Creates a new Wikipedia service with the provided web client.
-  explicit WikipediaEnrichmentService(std::unique_ptr<WebClient> client);
+  explicit WikipediaService(std::unique_ptr<WebClient> client);
 
   /// @brief Returns the Wikipedia-derived context for a location.
   [[nodiscard]] std::string GetLocationContext(const Location& loc) override;
@@ -30,4 +30,4 @@ class WikipediaEnrichmentService final : public IEnrichmentService {
   std::unordered_map<std::string, std::string> extract_cache_;
 };
 
-#endif  // BIERGARTEN_PIPELINE_INCLUDES_SERVICES_ENRICHMENT_WIKIPEDIA_SERVICE_H_
+#endif  // BIERGARTEN_PIPELINE_INCLUDES_SERVICES_WIKIPEDIA_SERVICE_H_

pipeline/includes/web_client/curl_web_client.h

@@ -0,0 +1,54 @@
+#ifndef BIERGARTEN_PIPELINE_INCLUDES_WEB_CLIENT_CURL_WEB_CLIENT_H_
+#define BIERGARTEN_PIPELINE_INCLUDES_WEB_CLIENT_CURL_WEB_CLIENT_H_
+
+/**
+ * @file web_client/curl_web_client.h
+ * @brief libcurl-based WebClient implementation.
+ */
+
+#include "web_client/web_client.h"
+
+/**
+ * @brief RAII wrapper for curl_global_init and curl_global_cleanup.
+ *
+ * Create one instance in application startup before using libcurl and keep it
+ * alive for application lifetime.
+ */
+class CurlGlobalState {
+ public:
+  /// @brief Initializes global libcurl state.
+  CurlGlobalState();
+
+  /// @brief Cleans up global libcurl state.
+  ~CurlGlobalState();
+
+  /// @brief Non-copyable type.
+  CurlGlobalState(const CurlGlobalState&) = delete;
+
+  /// @brief Non-copyable type.
+  CurlGlobalState& operator=(const CurlGlobalState&) = delete;
+};
+
+/**
+ * @brief WebClient implementation backed by libcurl.
+ */
+class CURLWebClient : public WebClient {
+ public:
+  /**
+   * @brief Executes an HTTP GET request.
+   *
+   * @param url Request URL.
+   * @return Response body.
+   */
+  std::string Get(const std::string& url) override;
+
+  /**
+   * @brief URL-encodes a string value.
+   *
+   * @param value Raw value.
+   * @return URL-encoded string.
+   */
+  std::string UrlEncode(const std::string& value) override;
+};
+
+#endif  // BIERGARTEN_PIPELINE_INCLUDES_WEB_CLIENT_CURL_WEB_CLIENT_H_

pipeline/includes/web_client/web_client.h

@@ -30,7 +30,7 @@ class WebClient {
    * @param value Raw string value.
    * @return Encoded value safe for URL usage.
    */
-  virtual std::string EncodeURL(const std::string& value) = 0;
+  virtual std::string UrlEncode(const std::string& value) = 0;
 };
 
 #endif  // BIERGARTEN_PIPELINE_INCLUDES_WEB_CLIENT_WEB_CLIENT_H_

pipeline/locations.json

@@ -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
   }
 ]

pipeline/prompts/system.md

@@ -0,0 +1,97 @@
+Return only one raw JSON object as the final answer, with exactly three keys: "reasoning", "name", and "description".
+The "reasoning" key MUST be the first key in the object.
+No markdown, code fences, preamble, or extra keys.
+
+# FULL SYSTEM PROMPT
+
+You are an expert brewery copywriter, an architectural observer, and a master of zymurgy.
+
+Your main goal is to come up with a fake, contextually accurate name and a matching description for a craft brewery located in a specific city. You need to base this on the exact geographic and cultural info provided. You also need to seamlessly blend historical background, cultural details, and highly specialized brewing methods to create a realistic and interesting story.
+
+You will receive the inputs like this:
+
+## CITY:
+
+$$City Name$$
+
+## COUNTRY:
+
+$$Country Name$$
+
+## CONTEXT:
+
+$$Information about local beer culture, history, or geography$$
+
+## CRITICAL OUTPUT FORMAT (READ CAREFULLY):
+
+ABSOLUTELY NO MARKDOWN FORMATTING. Do NOT wrap your response in json or ``` blocks.
+
+NO PREAMBLE OR POSTSCRIPT outside the JSON object. Do not say "Here is the JSON" or "Enjoy!".
+
+The JSON must contain exactly three keys ("reasoning", "name", and "description"); do not rename or add any other keys.
+
+The "reasoning" key MUST be first in the object.
+
+ESCAPE ALL QUOTES inside the description using ", or use single quotes (' ') instead. Escaping quotes perfectly is super important to avoid errors later.
+
+DO NOT use actual line breaks (\n) inside the string. Keep the description as one continuous string.
+
+Expected JSON format:
+{
+"reasoning": "Briefly plan the environmental hook, the technical brewing detail, the architectural detail, and the objective invitation.",
+"name": "Fictional Local Brewery Name",
+"description": "The description goes here."
+}
+
+## CONTENT RULES AND CONSTRAINTS:
+
+### THE HOOK:
+
+The first sentence must be an immersive, sensory environmental hook. It needs to clearly establish the weather, smells, or sounds typical of that city. Do not start by using the brewery's name or standard welcoming phrases.
+
+### GEOGRAPHIC & CULTURAL ANCHOR:
+
+The story must be deeply tied to the provided geographic and cultural info. It should mix historical brewing facts with the gritty reality of modern craft brewing, making sure it fits the local culture perfectly.
+
+### TECHNICAL BREWING DETAIL (VARY THIS!):
+
+You must include one highly specialized technical brewing detail. To avoid sounding repetitive, make sure this varies a lot. Some examples: using local wild yeast (like spontaneous Brettanomyces), adjusting the water profile (like Burtonization), specific mashing techniques, or using local barrels for aging. Don't use basic concepts like generic mash temperatures.
+
+### ARCHITECTURAL DETAIL (VARY THIS!):
+
+You must include one specific architectural or environmental detail, highlighting the building's physical wear, structure, or history. Examples include rusty steel beams, weird acoustics from an old factory, decaying brickwork, or worn-out local infrastructure. Avoid overused industry clichés like repurposed dairy equipment or glycol chillers.
+
+### THE INVITATION:
+
+The last sentence must be an atmospheric invitation to hang out in the space, kept totally objective. Good examples include suggesting where to stand, like "Observation may commence near the foundational supports," or "Positioning adjacent to the exterior loading apparatus is suggested." Avoid regular sayings like telling people to grab a seat or ask the bartender.
+
+### THE BLOCKLIST (FORBIDDEN CONCEPTS):
+
+You absolutely cannot use the following words and phrases because they are overused and too casual. Make sure your final output doesn't have any of these:
+
+- "hidden gem"
+- "passion"
+- "authentic"
+- "repurposed dairy tank"
+- "repurposed industrial vat"
+- "concrete eggs"
+- "glycol chiller"
+- "mash temperature"
+- "grab a stool"
+- "ask the bartender"
+
+### VOICE & PERSPECTIVE:
+
+The description must be written strictly in the third-person objective. You need to act like a detached architectural observer looking at the space and the brewing process from the outside. Do not use first-person or second-person pronouns, keeping an atmosphere of academic distance and professionalism.
+
+## EXAMPLE:
+
+Input:
+CITY: Sapporo
+COUNTRY: Japan
+CONTEXT: Sapporo is the capital of Hokkaido, Japan's northernmost main island, with a subarctic climate: winters are severe and protracted, with the city averaging over 6 metres of cumulative snowfall per season...
+
+$$Truncated for brevity, but assumes full context provided$$
+
+Output:
+{ "name": "Tokachi Grain & Ferment", "description": "By February, the powder snow blowing off the Teine range buries the bicycle racks on Susukino's side streets to the crossbar. Sapporo has been in the business of serious lager since 1876, but Tokachi Grain & Ferment isn't interested in replicating the macro-brew legacy. Instead, they source base malt exclusively from Obihiro-area farms and run the entire grain bill through a rigorous Burtonization protocol, driving up calcium sulfate levels to pull a sharp, mineral snap into the finish. The taproom is carved from a former Meiji-era goods shed, where a single run of oxidized copper piping bisects the ceiling and weeps green verdigris onto the communal timber table below. Observation may commence beneath the deteriorating copper, where the pale ale may be procured while the surrounding acoustics are analyzed." }

pipeline/src/biergarten_data_generator/biergarten_data_generator.cc

@@ -9,10 +9,6 @@
 
 BiergartenDataGenerator::BiergartenDataGenerator(
     std::unique_ptr<IEnrichmentService> context_service,
-    std::unique_ptr<DataGenerator> generator,
-    std::unique_ptr<IExportService> exporter,
-    const ApplicationOptions &app_options)
+    std::unique_ptr<DataGenerator> generator)
     : context_service_(std::move(context_service)),
-      generator_(std::move(generator)),
-      exporter_(std::move(exporter)),
-      application_options_(app_options) {}
+      generator_(std::move(generator)) {}

pipeline/src/biergarten_data_generator/generate_breweries.cc

@@ -13,7 +13,6 @@ void BiergartenDataGenerator::GenerateBreweries(
 
   generated_breweries_.clear();
   size_t skipped_count = 0;
-  size_t export_failed_count = 0;
 
   for (const auto& [location, region_context] : cities) {
     try {
@@ -23,17 +22,6 @@ void BiergartenDataGenerator::GenerateBreweries(
       const GeneratedBrewery gen{.location = location, .brewery = brewery};
 
       generated_breweries_.push_back(gen);
-
-      try {
-        exporter_->ProcessRecord(gen);
-      } catch (const std::exception& export_exception) {
-        ++export_failed_count;
-
-        spdlog::warn(
-            "[Pipeline] Generated brewery for '{}' ({}) but SQLite export "
-            "failed: {}",
-            location.city, location.country, export_exception.what());
-      }
     } catch (const std::exception& e) {
       ++skipped_count;
 
@@ -48,11 +36,4 @@ void BiergartenDataGenerator::GenerateBreweries(
     spdlog::warn("[Pipeline] Skipped {} city/cities due to generation errors",
                  skipped_count);
   }
-
-  if (export_failed_count > 0) {
-    spdlog::warn(
-        "[Pipeline] Failed to export {} generated brewery/breweries to "
-        "SQLite",
-        export_failed_count);
-  }
 }

pipeline/src/biergarten_data_generator/log_results.cc

@@ -16,11 +16,8 @@ void BiergartenDataGenerator::LogResults() const {
         "iso3166_2={} lat={} lon={}",
         index, location.city, location.country, location.state_province,
         location.iso3166_2, location.latitude, location.longitude);
-    spdlog::info("   brewery_name_en=\"{}\"", brewery.name_en);
-    spdlog::info("   brewery_description_en=\"{}\"", brewery.description_en);
-    spdlog::info("   brewery_name_local=\"{}\"", brewery.name_local);
-    spdlog::info("   brewery_description_local=\"{}\"",
-                 brewery.description_local);
+    spdlog::info("   brewery_name=\"{}\"", brewery.name);
+    spdlog::info("   brewery_description=\"{}\"", brewery.description);
     ++index;
   }
 }

pipeline/src/biergarten_data_generator/query_cities_with_countries.cc

@@ -13,6 +13,8 @@
 #include "biergarten_data_generator.h"
 #include "json_handling/json_loader.h"
 
+static constexpr size_t kBreweryAmount = 5;
+
 std::vector<Location> BiergartenDataGenerator::QueryCitiesWithCountries() {
   spdlog::info("\n=== GEOGRAPHIC DATA OVERVIEW ===");
 
@@ -21,9 +23,7 @@ std::vector<Location> BiergartenDataGenerator::QueryCitiesWithCountries() {
   auto all_locations = JsonLoader::LoadLocations(locations_path);
   spdlog::info("  Locations available: {}", all_locations.size());
 
-  const size_t sample_count = std::min(
-      static_cast<size_t>(application_options_.pipeline.location_count),
-      all_locations.size());
+  const size_t sample_count = std::min(kBreweryAmount, all_locations.size());
 
   const auto sample_count_signed =
       static_cast<std::iter_difference_t<decltype(all_locations.cbegin())>>(

pipeline/src/biergarten_data_generator/run.cc

@@ -3,16 +3,14 @@
  * @brief BiergartenDataGenerator::Run() implementation.
  */
 
-#include <spdlog/spdlog.h>
-
 #include <utility>
 
+#include <spdlog/spdlog.h>
+
 #include "biergarten_data_generator.h"
 
 bool BiergartenDataGenerator::Run() {
   try {
-    exporter_->Initialize();
-
     std::vector<Location> cities = QueryCitiesWithCountries();
     std::vector<EnrichedCity> enriched;
     enriched.reserve(cities.size());
@@ -21,8 +19,8 @@ bool BiergartenDataGenerator::Run() {
     for (auto& city : cities) {
       try {
         std::string region_context = context_service_->GetLocationContext(city);
-        // spdlog::debug("[Pipeline] Context for '{}' ({}) gathered:\n{}",
-        //               city.city, city.iso3166_2, region_context);
+        spdlog::info("[Pipeline] Context for '{}' ({}) gathered:\n{}",
+                     city.city, city.country, region_context);
 
         enriched.push_back(
             EnrichedCity{.location = std::move(city),
@@ -42,7 +40,6 @@ bool BiergartenDataGenerator::Run() {
     }
 
     this->GenerateBreweries(enriched);
-    exporter_->Finalize();
     this->LogResults();
     return true;
   } catch (const std::exception& e) {

pipeline/src/data_generation/llama/generate_brewery.cc

@@ -4,41 +4,20 @@
  * inference, and validates structured JSON output for brewery records.
  */
 
-#include <spdlog/spdlog.h>
+#include "data_generation/llama_generator.h"
 
 #include <format>
 #include <optional>
 #include <stdexcept>
 #include <string>
 #include <string_view>
-#include <vector>
 
-#include "data_generation/llama_generator.h"
+#include <spdlog/spdlog.h>
+
 #include "data_generation/llama_generator_helpers.h"
 
-static std::string FormatLocalLanguageCodes(
-    const std::vector<std::string>& codes) {
-  if (codes.empty()) {
-    return "Not provided";
-  }
-
-  std::string formatted;
-  for (const std::string& code : codes) {
-    if (!formatted.empty()) {
-      formatted += ", ";
-    }
-    formatted += code;
-  }
-
-  return formatted;
-}
-
-// GBNF grammar for structured brewery JSON output.
-// @TODO move to a separate gbnf file if it grows in complexity or is shared
-// across modules.
 static constexpr std::string_view kBreweryJsonGrammar = R"json_brewery(
-root ::= thought-block "{" ws "\"name_en\"" ws ":" ws string ws "," ws "\"description_en\"" ws ":" ws string ws "," ws "\"name_local\"" ws ":" ws string ws "," ws "\"description_local\"" ws ":" ws string ws "}" ws
-thought-block ::= [^{]*
+root ::= ws "{" ws "\"reasoning\"" ws ":" ws string ws "," ws "\"name\"" ws ":" ws string ws "," ws "\"description\"" ws ":" ws string ws "}" ws
 ws ::= [ \t\n\r]*
 string ::= "\"" char+ "\""
 char ::= [^"\\\x7F\x00-\x1F] | [\\] escape
@@ -47,40 +26,37 @@ hex ::= [0-9a-fA-F]
 )json_brewery";
 
 static constexpr int kBreweryInitialMaxTokens = 2800;
+static constexpr int kBreweryTruncationRetryTokenBump = 700;
+static constexpr int kBreweryMaxTokensCeiling = 5000;
 
 BreweryResult LlamaGenerator::GenerateBrewery(
     const Location& location, const std::string& region_context) {
   /**
    * Preprocess and truncate region context to manageable size
    */
-  const std::string safe_region_context = PrepareRegionContext(region_context);
-
-  const std::string local_language_codes =
-      FormatLocalLanguageCodes(location.local_languages);
+  const std::string safe_region_context =
+      PrepareRegionContext(region_context);
 
   const std::string country_suffix =
       location.country.empty() ? std::string{}
                                : std::format(", {}", location.country);
   /**
-   * Load brewery system prompt via the injected prompt directory.
-   * The key "BREWERY_GENERATION" resolves to BREWERY_GENERATION.md inside
-   * the configured --prompt-dir.  Throws on missing or empty file.
+   * Load brewery system prompt from file
+   * Falls back to minimal inline prompt if file not found
    */
   const std::string system_prompt =
-      prompt_directory_->Load("BREWERY_GENERATION");
+      LoadBrewerySystemPrompt("prompts/system.md");
+
 
   std::string user_prompt = std::format(
-      "## CITY:\n{}\n\n## COUNTRY:\n{}\n\n## LOCAL LANGUAGE CODES:\n{}\n\n## "
-      "CONTEXT:\n{}",
-      location.city, location.country, local_language_codes,
-      safe_region_context);
+      "## CITY:\n{}\n\n## COUNTRY:\n{}\n\n## CONTEXT:\n{}",
+      location.city, location.country, safe_region_context);
 
   /**
    * Store location context for retry prompts (without repeating full context)
    */
   const std::string retry_location =
-      std::format("Location: {}{}\nLocal language codes: {}", location.city,
-                  country_suffix, local_language_codes);
+      std::format("Location: {}{}", location.city, country_suffix);
 
   /**
    * RETRY LOOP with validation and error correction
@@ -98,25 +74,26 @@ BreweryResult LlamaGenerator::GenerateBrewery(
   // Limit output length to keep it concise and focused
   for (int attempt = 0; attempt < max_attempts; ++attempt) {
     // Generate brewery data from LLM
-    raw = this->Infer(system_prompt, user_prompt, max_tokens,
-                      kBreweryJsonGrammar);
+    raw = this->Infer(system_prompt, user_prompt, max_tokens, kBreweryJsonGrammar);
     spdlog::debug("LlamaGenerator: raw output (attempt {}): {}", attempt + 1,
                   raw);
 
     // Validate output: parse JSON and check required fields
 
-    BreweryResult brewery;
+    std::string name;
+    std::string description;
+    std::string reasoning;
     const std::optional<std::string> validation_error =
-        ValidateBreweryJson(raw, brewery);
-
+        ValidateBreweryJson(raw, name, description, reasoning);
     if (!validation_error.has_value()) {
       // Success: return parsed brewery data
 
       spdlog::info(
-          "LlamaGenerator: successfully generated brewery data on attempt {}",
-          attempt + 1);
+          "LlamaGenerator: successfully generated brewery data on attempt {}:\n reasoning='{}',\n name='{}',\n description='{}'",
+          attempt + 1, reasoning, name, description);
 
-      return brewery;
+      return BreweryResult{.name = std::move(name),
+                           .description = std::move(description)};
     }
 
     // Validation failed: log error and prepare corrective feedback
@@ -125,17 +102,28 @@ BreweryResult LlamaGenerator::GenerateBrewery(
     spdlog::warn("LlamaGenerator: malformed brewery JSON (attempt {}): {}",
                  attempt + 1, *validation_error);
 
+
+    if (last_error == "JSON parse error: incomplete JSON") {
+      const int previous_max_tokens = max_tokens;
+            max_tokens = std::min(max_tokens + kBreweryTruncationRetryTokenBump,
+                                                        kBreweryMaxTokensCeiling);
+      spdlog::info(
+          "LlamaGenerator: detected truncated JSON; increasing max_tokens from {} to {} and retrying",
+          previous_max_tokens, max_tokens);
+
+
+      continue;
+    }
+
     // Update prompt with error details to guide LLM toward correct output.
     user_prompt = std::format(
-        "Your previous response was invalid. Error: {}\nReturn the thought "
-        "process before the JSON if needed, then return ONLY valid JSON with "
-        "exactly these keys, in this exact order: {{\"name_en\": \"<English "
-        "brewery name>\", \"description_en\": \"<English single-paragraph "
-        "description>\", \"name_local\": \"<local-language brewery name>\", "
-        "\"description_local\": \"<local-language single-paragraph "
-        "description>\"}}.\nDo not include markdown, comments, extra keys, or "
-        "literal placeholder values.\n\nKeep the JSON strings concise enough "
-        "to fit within the token budget.\n\n{}",
+        R"(Your previous response was invalid. Error: {}
+Return ONLY valid JSON with exactly these keys, in this exact order: {{"reasoning": "<brief planning summary>", "name": "<brewery name>", "description": "<single-paragraph description>"}}.
+Do not include markdown, comments, extra keys, or literal placeholder values.
+
+Keep the JSON strings concise enough to fit within the token budget.
+
+{})",
         *validation_error, retry_location);
   }
 

pipeline/src/data_generation/llama/generate_user.cc

@@ -12,13 +12,6 @@
 #include "data_generation/llama_generator.h"
 #include "data_generation/llama_generator_helpers.h"
 
-// TODO: Implement locale-aware user profile generation.
-// Current implementation returns a hardcoded test value and ignores the
-// locale parameter. Future implementation should:
-// 1. Load a USER_GENERATION.md prompt template with locale context
-// 2. Perform LLM inference with locale-specific username/bio generation
-// 3. Parse and validate JSON output with retry handling (similar to brewery)
-// 4. Return locale-aware username and biography
 UserResult LlamaGenerator::GenerateUser(const std::string& locale) {
   return {.username = "test_user",
           .bio = "This is a test user profile from " + locale + "."};

pipeline/src/data_generation/llama/helpers.cc

@@ -41,7 +41,7 @@ static std::string CondenseWhitespace(std::string_view text) {
 
   bool pending_space = false;
   for (const char chr : text) {
-    if (std::isspace(static_cast<unsigned char>(chr)) != 0) {
+    if (std::isspace(chr) != 0) {
       if (!out.empty()) {
         pending_space = true;
       }
@@ -58,11 +58,6 @@ static std::string CondenseWhitespace(std::string_view text) {
   return out;
 }
 
-// Guard against truncating in the first half of the string.
-// This preserves the critical opening content and avoids cutting critical
-// context words early in the region description.
-static constexpr size_t kTruncationGuardDivisor = 2;
-
 /**
  * Truncate region context to fit within max length while preserving word
  * boundaries
@@ -76,8 +71,7 @@ std::string PrepareRegionContext(std::string_view region_context,
 
   normalized.resize(max_chars);
   const size_t last_space = normalized.find_last_of(' ');
-  if (last_space != std::string::npos &&
-      last_space > max_chars / kTruncationGuardDivisor) {
+  if (last_space != std::string::npos && last_space > max_chars / 2) {
     normalized.resize(last_space);
   }
 
@@ -121,100 +115,90 @@ void AppendTokenPiece(const llama_vocab* vocab, llama_token token,
       "LlamaGenerator: failed to decode sampled token piece");
 }
 
-static bool ReadRequiredTrimmedStringField(const boost::json::object& obj,
-                                           std::string_view key,
-                                           std::string& out,
-                                           std::string* error_out) {
-  const boost::json::value* field = obj.if_contains(key);
-  if (field == nullptr || !field->is_string()) {
-    if (error_out != nullptr) {
-      *error_out =
-          "JSON field '" + std::string(key) + "' is missing or not a string";
-    }
+std::optional<std::string> ValidateBreweryJson(const std::string& raw,
+                                               std::string& name_out,
+                                               std::string& description_out,
+                                               std::string& reasoning_out) {
+  auto validate_object = [&](const boost::json::value& json_value,
+                             std::string& error_out) -> bool {
+    if (!json_value.is_object()) {
+      error_out = "JSON root must be an object";
       return false;
     }
 
-  const auto& string_value = field->as_string();
-  out = Trim(std::string_view(string_value.data(), string_value.size()));
-  if (out.empty()) {
-    if (error_out != nullptr) {
-      *error_out = "JSON field '" + std::string(key) + "' must not be empty";
-    }
+
+    const auto& obj = json_value.get_object();
+
+    if (!obj.contains("reasoning") || !obj.at("reasoning").is_string()) {
+      error_out = "JSON field 'reasoning' is missing or not a string";
       return false;
     }
 
-  return true;
-}
+    if (!obj.contains("name") || !obj.at("name").is_string()) {
+      error_out = "JSON field 'name' is missing or not a string";
+      return false;
+    }
 
-static bool HasSchemaPlaceholder(const std::array<std::string*, 4>& values) {
-  for (const std::string* value : values) {
-    std::string lowered = *value;
-    std::ranges::transform(lowered, lowered.begin(),
+    if (!obj.contains("description") || !obj.at("description").is_string()) {
+      error_out = "JSON field 'description' is missing or not a string";
+      return false;
+    }
+    const auto& reasoning_value = obj.at("reasoning").as_string();
+    reasoning_out = Trim(std::string_view(reasoning_value.data(), reasoning_value.size()));
+    if (reasoning_out.empty()) {
+      error_out = "JSON field 'reasoning' must not be empty";
+      return false;
+    }
+
+    const auto& name_value = obj.at("name").as_string();
+    const auto& description_value = obj.at("description").as_string();
+    name_out = Trim(std::string_view(name_value.data(), name_value.size()));
+    description_out = Trim(
+        std::string_view(description_value.data(), description_value.size()));
+
+    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;
+
+
+    auto string_to_lower = [](std::string& str_out) {
+       std::ranges::transform(str_out, str_out.begin(),
                              [](unsigned char character) {
                                return static_cast<char>(std::tolower(character));
                              });
+    };
 
-    if (lowered == "string") {
-      return true;
-    }
-  }
+    string_to_lower(name_lower);
+    string_to_lower(description_lower);
 
+    if (name_lower == "string" || description_lower == "string") {
+      error_out = "JSON appears to be a schema placeholder, not content";
       return false;
-}
-
-std::optional<std::string> ValidateBreweryJson(const std::string& raw,
-                                               BreweryResult& brewery_out) {
-  boost::system::error_code error_code;
-  const std::string_view raw_view(raw);
-  const size_t opening_brace = raw_view.find('{');
-  if (opening_brace == std::string_view::npos) {
-    return "JSON parse error: missing opening brace '{'";
     }
 
-  const std::string_view json_payload = raw_view.substr(opening_brace);
-  boost::json::value json_value = boost::json::parse(json_payload, error_code);
+    error_out.clear();
+    return true;
+  };
+
+  boost::system::error_code error_code;
+  boost::json::value json_value = boost::json::parse(raw, error_code);
+  std::string validation_error;
   if (error_code) {
     return "JSON parse error: " + error_code.message();
   }
 
-  if (!json_value.is_object()) {
-    return "JSON root must be an object";
-  }
-
-  const auto& obj = json_value.get_object();
-  if (obj.size() != 4) {
-    return "JSON object must contain exactly four keys";
-  }
-
-  std::string validation_error;
-  if (!ReadRequiredTrimmedStringField(obj, "name_en", brewery_out.name_en,
-                                      &validation_error)) {
+  if (!validate_object(json_value, validation_error)) {
     return validation_error;
   }
 
-  if (!ReadRequiredTrimmedStringField(obj, "description_en",
-                                      brewery_out.description_en,
-                                      &validation_error)) {
-    return validation_error;
-  }
-
-  if (!ReadRequiredTrimmedStringField(obj, "name_local", brewery_out.name_local,
-                                      &validation_error)) {
-    return validation_error;
-  }
-
-  if (!ReadRequiredTrimmedStringField(obj, "description_local",
-                                      brewery_out.description_local,
-                                      &validation_error)) {
-    return validation_error;
-  }
-
-  const std::array<std::string*, 4> schema_placeholders = {
-      &brewery_out.name_en, &brewery_out.description_en,
-      &brewery_out.name_local, &brewery_out.description_local};
-  if (HasSchemaPlaceholder(schema_placeholders)) {
-    return "JSON appears to be a schema placeholder, not content";
-  }
-
   return std::nullopt;
 }

pipeline/src/data_generation/llama/infer.cc

@@ -19,14 +19,10 @@
 #include "llama.h"
 
 static constexpr size_t kPromptTokenSlack = 8;
-// Minimum tokens to keep when using top-p sampling. Ensures at least one
-// candidate token remains available even with very restrictive top-p values.
-static constexpr size_t kTopPMinKeep = 1;
 
 namespace {
 
-using SamplerHandle =
-    std::unique_ptr<llama_sampler, decltype(&llama_sampler_free)>;
+using SamplerHandle = std::unique_ptr<llama_sampler, decltype(&llama_sampler_free)>;
 
 struct SamplerConfig {
   float temperature;
@@ -65,7 +61,7 @@ SamplerHandle MakeSamplerChain(const llama_vocab* vocab,
               "LlamaGenerator: failed to initialize temperature sampler");
   add_sampler(llama_sampler_init_top_k(static_cast<int32_t>(config.top_k)),
               "LlamaGenerator: failed to initialize top-k sampler");
-  add_sampler(llama_sampler_init_top_p(config.top_p, kTopPMinKeep),
+  add_sampler(llama_sampler_init_top_p(config.top_p, 1),
               "LlamaGenerator: failed to initialize top-p sampler");
   add_sampler(llama_sampler_init_dist(config.seed),
               "LlamaGenerator: failed to initialize distribution sampler");
@@ -121,10 +117,17 @@ std::string LlamaGenerator::InferFormatted(const std::string& formatted_prompt,
   std::vector<llama_token> prompt_tokens(formatted_prompt.size() +
                                          kPromptTokenSlack);
 
+
+
+
   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);
+      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
@@ -132,6 +135,7 @@ std::string LlamaGenerator::InferFormatted(const std::string& formatted_prompt,
   if (token_count < 0) {
     prompt_tokens.resize(static_cast<size_t>(-token_count));
 
+
     token_count = llama_tokenize(
         vocab, formatted_prompt.c_str(),
         static_cast<int32_t>(formatted_prompt.size()), prompt_tokens.data(),

pipeline/src/data_generation/llama/llama_generator.cc

@@ -5,13 +5,13 @@
 
 #include "data_generation/llama_generator.h"
 
-#include <filesystem>
 #include <memory>
 #include <random>
 #include <stdexcept>
 #include <string>
+#include <filesystem>
 
-#include "data_model/models.h"
+#include "data_model/application_options.h"
 #include "llama.h"
 
 static constexpr uint32_t kMaxContextSize = 32768U;
@@ -30,13 +30,11 @@ void LlamaGenerator::ContextDeleter::operator()(
   }
 }
 
-LlamaGenerator::LlamaGenerator(
-    const ApplicationOptions& options, const std::string& model_path,
-    std::unique_ptr<IPromptFormatter> prompt_formatter,
-    std::unique_ptr<IPromptDirectory> prompt_directory)
+LlamaGenerator::LlamaGenerator(const ApplicationOptions& options,
+                               const std::string& model_path,
+                               std::shared_ptr<IPromptFormatter> prompt_formatter)
     : rng_(std::random_device{}()),
-      prompt_formatter_(std::move(prompt_formatter)),
-      prompt_directory_(std::move(prompt_directory)) {
+      prompt_formatter_(std::move(prompt_formatter)) {
   if (model_path.empty()) {
     throw std::runtime_error("LlamaGenerator: model path must not be empty");
   }
@@ -46,50 +44,41 @@ LlamaGenerator::LlamaGenerator(
         "LlamaGenerator: prompt formatter dependency must not be null");
   }
 
-  if (!prompt_directory_) {
-    throw std::runtime_error(
-        "LlamaGenerator: prompt directory dependency must not be null");
-  }
-
-  const auto sampling = options.generator.sampling.value_or(SamplingOptions{});
-
-  if (sampling.temperature < 0.0F) {
+  if (options.temperature < 0.0F) {
     throw std::runtime_error(
         "LlamaGenerator: sampling temperature must be >= 0");
   }
 
-  if (sampling.top_p <= 0.0F || sampling.top_p > 1.0F) {
+  if (options.top_p <= 0.0F || options.top_p > 1.0F) {
     throw std::runtime_error(
         "LlamaGenerator: sampling top-p must be in (0, 1]");
   }
 
-  if (sampling.top_k == 0U) {
+  if (options.top_k == 0U) {
     throw std::runtime_error("LlamaGenerator: sampling top-k must be > 0");
   }
 
-  if (sampling.seed < -1) {
+  if (options.seed < -1) {
     throw std::runtime_error(
         "LlamaGenerator: seed must be >= 0, or -1 for random");
   }
 
-  if (sampling.n_ctx == 0 || sampling.n_ctx > kMaxContextSize) {
+  if (options.n_ctx == 0 || options.n_ctx > kMaxContextSize) {
     throw std::runtime_error(
         "LlamaGenerator: context size must be in range [1, 32768]");
   }
 
-  sampling_temperature_ = sampling.temperature;
-  sampling_top_p_ = sampling.top_p;
-  sampling_top_k_ = sampling.top_k;
+  sampling_temperature_ = options.temperature;
+  sampling_top_p_ = options.top_p;
+  sampling_top_k_ = options.top_k;
 
-  if (sampling.seed == -1) {
+  if (options.seed == -1) {
     std::random_device random_device;
     rng_.seed(random_device());
   } else {
-    rng_.seed(static_cast<uint32_t>(sampling.seed));
+    rng_.seed(static_cast<uint32_t>(options.seed));
   }
-
-  n_ctx_ = sampling.n_ctx;
-  n_gpu_layers_ = sampling.n_gpu_layers;
+  n_ctx_ = options.n_ctx;
 
   this->Load(model_path);
 }

pipeline/src/data_generation/llama/load.cc

@@ -12,23 +12,13 @@
 #include <utility>
 
 #include "data_generation/llama_generator.h"
-#include "ggml-backend.h"
 #include "llama.h"
 
-// Maximum batch size for decode operations. Capping the batch prevents
-// excessive memory allocation while maintaining inference performance.
-static constexpr uint32_t kMaxBatchSize = 5000U;
-
 void LlamaGenerator::Load(const std::string& model_path) {
   context_.reset();
   model_.reset();
 
-  // Specifically load dynamic ggml backends (like CUDA) that are provided
-  // externally before attempting to load a model.
-  ggml_backend_load_all();
-
-  llama_model_params model_params = llama_model_default_params();
-  model_params.n_gpu_layers = n_gpu_layers_;
+  const llama_model_params model_params = llama_model_default_params();
   LlamaGenerator::ModelHandle loaded_model(
       llama_model_load_from_file(model_path.c_str(), model_params));
   if (!loaded_model) {
@@ -38,7 +28,7 @@ void LlamaGenerator::Load(const std::string& model_path) {
 
   llama_context_params context_params = llama_context_default_params();
   context_params.n_ctx = n_ctx_;
-  context_params.n_batch = std::min(n_ctx_, kMaxBatchSize);
+  context_params.n_batch = std::min(n_ctx_, static_cast<uint32_t>(5000));
 
   LlamaGenerator::ContextHandle loaded_context(
       llama_init_from_model(loaded_model.get(), context_params));

pipeline/src/data_generation/llama/load_brewery_prompt.cc

@@ -0,0 +1,56 @@
+/**
+ * @file data_generation/llama/load_brewery_prompt.cc
+ * @brief Resolves brewery system prompt content from cache or a configured
+ * filesystem path and provides a robust inline fallback prompt when absent.
+ */
+
+#include <spdlog/spdlog.h>
+
+#include <filesystem>
+#include <fstream>
+#include <stdexcept>
+
+#include "data_generation/llama_generator.h"
+
+/**
+ * @brief Loads brewery system prompt from disk or cache.
+ *
+ * @param prompt_file_path Preferred prompt file location.
+ * @return Prompt text loaded from disk.
+ */
+std::string LlamaGenerator::LoadBrewerySystemPrompt(
+    const std::filesystem::path& prompt_file_path) {
+  // Return cached version if already loaded
+  if (!brewery_system_prompt_.empty()) {
+    return brewery_system_prompt_;
+  }
+
+
+  std::ifstream prompt_file(prompt_file_path);
+  if (!prompt_file.is_open()) {
+    spdlog::error(
+        "LlamaGenerator: Failed to open brewery system prompt file '{}'",
+        prompt_file_path.string());
+    throw std::runtime_error(
+        "LlamaGenerator: missing brewery system prompt file: " +
+        prompt_file_path.string());
+  }
+
+  const std::string prompt((std::istreambuf_iterator(prompt_file)),
+                           std::istreambuf_iterator<char>());
+  prompt_file.close();
+
+  if (prompt.empty()) {
+    spdlog::error("LlamaGenerator: Brewery system prompt file '{}' is empty",
+                  prompt_file_path.string());
+    throw std::runtime_error(
+        "LlamaGenerator: empty brewery system prompt file: " +
+        prompt_file_path.string());
+  }
+
+  spdlog::info(
+      "LlamaGenerator: Loaded brewery system prompt from '{}' ({} chars)",
+      prompt_file_path.string(), prompt.length());
+  brewery_system_prompt_ = prompt;
+  return brewery_system_prompt_;
+}

pipeline/src/data_generation/mock/generate_brewery.cc

@@ -17,9 +17,9 @@ BreweryResult MockGenerator::GenerateBrewery(
   const std::string_view adjective =
       kBreweryAdjectives.at(hash % kBreweryAdjectives.size());
   const std::string_view noun =
-      kBreweryNouns.at(hash / kNounHashStride % kBreweryNouns.size());
-  const std::string_view base_description = kBreweryDescriptions.at(
-      (hash / kDescriptionHashStride) % kBreweryDescriptions.size());
+      kBreweryNouns.at(hash / 7 % kBreweryNouns.size());
+  const std::string_view base_description =
+      kBreweryDescriptions.at((hash / 13) % kBreweryDescriptions.size());
 
   const std::string name =
       std::format("{} {} {}", location.city, adjective, noun);
@@ -36,9 +36,7 @@ BreweryResult MockGenerator::GenerateBrewery(
                   state_suffix, country_suffix);
 
   return {
-      .name_en = name,
-      .description_en = description,
-      .name_local = name,
-      .description_local = description,
+      .name = name,
+      .description = description,
   };
 }

pipeline/src/data_generation/mock/generate_user.cc

@@ -15,7 +15,7 @@ UserResult MockGenerator::GenerateUser(const std::string& locale) {
 
   UserResult result;
   const std::string_view username = kUsernames[hash % kUsernames.size()];
-  const std::string_view bio = kBios[hash / kBioHashStride % kBios.size()];
+  const std::string_view bio = kBios[hash / 11 % kBios.size()];
   result.username = username;
   result.bio = bio;
   return result;

pipeline/src/json_handling/json_loader.cc

@@ -6,15 +6,14 @@
 
 #include "json_handling/json_loader.h"
 
-#include <spdlog/spdlog.h>
-
-#include <boost/json.hpp>
 #include <fstream>
 #include <sstream>
 #include <stdexcept>
-#include <string>
 #include <string_view>
 
+#include <boost/json.hpp>
+#include <spdlog/spdlog.h>
+
 static std::string ReadRequiredString(const boost::json::object& object,
                                       const char* key) {
   const boost::json::value* value = object.if_contains(key);
@@ -36,27 +35,6 @@ static double ReadRequiredNumber(const boost::json::object& object,
   return value->to_number<double>();
 }
 
-static std::vector<std::string> ReadRequiredStringArray(
-    const boost::json::object& object, const char* key) {
-  const boost::json::value* value = object.if_contains(key);
-  if (value == nullptr || !value->is_array()) {
-    throw std::runtime_error(
-        std::string("Missing or invalid string array field: ") + key);
-  }
-
-  const auto& array = value->as_array();
-  std::vector<std::string> items;
-  items.reserve(array.size());
-  for (const auto& item : array) {
-    if (!item.is_string()) {
-      throw std::runtime_error(
-          std::string("Missing or invalid string array field: ") + key);
-    }
-    items.emplace_back(item.as_string());
-  }
-  return items;
-}
-
 std::vector<Location> JsonLoader::LoadLocations(
     const std::filesystem::path& filepath) {
   std::ifstream input(filepath);
@@ -98,7 +76,6 @@ std::vector<Location> JsonLoader::LoadLocations(
         .iso3166_2 = ReadRequiredString(object, "iso3166_2"),
         .country = ReadRequiredString(object, "country"),
         .iso3166_1 = ReadRequiredString(object, "iso3166_1"),
-        .local_languages = ReadRequiredStringArray(object, "local_languages"),
         .latitude = ReadRequiredNumber(object, "latitude"),
         .longitude = ReadRequiredNumber(object, "longitude"),
     });

pipeline/src/main.cc

@@ -0,0 +1,182 @@
+/**
+ * @file main.cc
+ * @brief Parses command-line options, validates runtime mode selection,
+ * initializes shared infrastructure, and executes the pipeline entry flow.
+ */
+
+#include <spdlog/spdlog.h>
+
+#include <boost/di.hpp>
+#include <boost/program_options.hpp>
+#include <exception>
+#include <memory>
+#include <optional>
+#include <sstream>
+#include <string>
+
+#include "biergarten_data_generator.h"
+#include "data_generation/llama_generator.h"
+#include "data_generation/mock_generator.h"
+#include "data_generation/prompt_formatting/gemma4_jinja_prompt_formatter.h"
+#include "data_model/application_options.h"
+#include "llama_backend_state.h"
+#include "services/enrichment_service.h"
+#include "services/wikipedia_service.h"
+#include "web_client/curl_web_client.h"
+
+namespace prog_opts = boost::program_options;
+namespace di = boost::di;
+
+/**
+ * @brief Parse command-line arguments into ApplicationOptions.
+ *
+ * @param argc Command-line argument count.
+ * @param argv Command-line arguments.
+ * @return Parsed ApplicationOptions if parsing succeeded, std::nullopt
+ * otherwise.
+ */
+std::optional<ApplicationOptions> ParseArguments(const int argc, char** argv) {
+  prog_opts::options_description desc("Pipeline Options");
+
+  auto opt = desc.add_options();
+
+  opt("help,h", "Produce help message");
+
+  opt("mocked", prog_opts::bool_switch(),
+      "Use mocked generator for brewery/user data");
+
+  opt("model,m", prog_opts::value<std::string>()->default_value(""),
+      "Path to LLM model (gguf)");
+
+  opt("temperature", prog_opts::value<float>()->default_value(1.0F),
+      "Sampling temperature (higher = more random)");
+
+  opt("top-p", prog_opts::value<float>()->default_value(0.95F),
+      "Nucleus sampling top-p in (0,1] (higher = more random)");
+
+  opt("top-k", prog_opts::value<uint32_t>()->default_value(64),
+      "Top-k sampling parameter (higher = more candidate tokens)");
+
+  opt("n-ctx", prog_opts::value<uint32_t>()->default_value(8192),
+      "Context window size in tokens (1-32768)");
+
+  opt("seed", prog_opts::value<int>()->default_value(-1),
+      "Sampler seed: -1 for random, otherwise non-negative integer");
+
+  // Handle the "no arguments" or "help" case
+  if (argc == 1) {
+    spdlog::info("Biergarten Pipeline");
+    std::stringstream usage_stream;
+    usage_stream << "\nUsage: biergarten-pipeline [options]\n\n" << desc;
+    spdlog::info(usage_stream.str());
+    return std::nullopt;
+  }
+
+  try {
+    prog_opts::variables_map variables_map;
+    prog_opts::store(prog_opts::parse_command_line(argc, argv, desc),
+                     variables_map);
+    prog_opts::notify(variables_map);
+
+    if (variables_map.contains("help")) {
+      std::stringstream help_stream;
+      help_stream << "\n" << desc;
+      spdlog::info(help_stream.str());
+      return std::nullopt;
+    }
+
+    const auto use_mocked = variables_map["mocked"].as<bool>();
+    const auto model_path = variables_map["model"].as<std::string>();
+
+    if (use_mocked && !model_path.empty()) {
+      spdlog::error(
+          "Invalid arguments: --mocked and --model are mutually exclusive");
+      return std::nullopt;
+    }
+
+    if (!use_mocked && model_path.empty()) {
+      spdlog::error(
+          "Invalid arguments: Either --mocked or --model must be specified");
+      return std::nullopt;
+    }
+
+    const bool has_llm_params = !variables_map["temperature"].defaulted() ||
+                                !variables_map["top-p"].defaulted() ||
+                                !variables_map["top-k"].defaulted() ||
+                                !variables_map["seed"].defaulted();
+
+    if (use_mocked && has_llm_params) {
+      spdlog::warn(
+          "Sampling parameters (--temperature, --top-p, --top-k, --seed) are"
+          " ignored when using --mocked");
+    }
+
+    ApplicationOptions options;
+    options.use_mocked = use_mocked;
+    options.model_path = model_path;
+    options.temperature = variables_map["temperature"].as<float>();
+    options.top_p = variables_map["top-p"].as<float>();
+    options.top_k = variables_map["top-k"].as<uint32_t>();
+    options.n_ctx = variables_map["n-ctx"].as<uint32_t>();
+    options.seed = variables_map["seed"].as<int>();
+
+    return options;
+  } catch (const std::exception& exception) {
+    spdlog::error("Failed to parse command-line arguments: {}",
+                  exception.what());
+    return std::nullopt;
+  } catch (...) {
+    spdlog::error("Failed to parse command-line arguments: unknown error");
+    return std::nullopt;
+  }
+}
+
+int main(const int argc, char** argv) {
+  try {
+    const CurlGlobalState curl_state;
+    const LlamaBackendState llama_backend_state;
+    spdlog::set_pattern("[%Y-%m-%d %H:%M:%S.%e] [%^%l%$] %v");
+
+    const auto parsed_options = ParseArguments(argc, argv);
+    if (!parsed_options.has_value()) {
+      return 0;
+    }
+
+    const auto options = *parsed_options;
+
+    const auto injector = di::make_injector(
+        di::bind<WebClient>().to<CURLWebClient>(),
+        di::bind<ApplicationOptions>().to(options),
+        di::bind<IEnrichmentService>().to<WikipediaService>(),
+        di::bind<IPromptFormatter>().to<Gemma4JinjaPromptFormatter>(),
+        di::bind<std::string>().to(options.model_path),
+        di::bind<DataGenerator>().to(
+            [options](const auto& inj) -> std::unique_ptr<DataGenerator> {
+              if (options.use_mocked) {
+                spdlog::info(
+                    "[Generator] Using MockGenerator (no model path provided)");
+                return std::make_unique<MockGenerator>();
+              }
+
+              spdlog::info(
+                  "[Generator] Using LlamaGenerator: {} (temperature={}, "
+                  "top-p={}, top-k={}, n_ctx={}, seed={})",
+                  options.model_path, options.temperature, options.top_p,
+                  options.top_k, options.n_ctx, options.seed);
+              return inj.template create<std::unique_ptr<LlamaGenerator>>();
+            }));
+
+    auto generator = injector.create<BiergartenDataGenerator>();
+
+    if (!generator.Run()) {
+      spdlog::error("Pipeline execution failed");
+      return 1;
+    }
+
+    spdlog::info("Pipeline executed successfully");
+    return 0;
+  } catch (const std::exception& exception) {
+    spdlog::critical("Unhandled fatal error in main: {}", exception.what());
+    return 1;
+  }
+}

pipeline/src/services/wikipedia/fetch_extract.cc

@@ -0,0 +1,61 @@
+/**
+ * @file wikipedia/fetch_extract.cc
+ * @brief WikipediaService::FetchExtract() implementation.
+ */
+
+#include <spdlog/spdlog.h>
+
+#include <boost/json.hpp>
+#include <string>
+#include <string_view>
+
+#include "services/wikipedia_service.h"
+
+std::string WikipediaService::FetchExtract(std::string_view query) {
+  const std::string cache_key(query);
+  const auto cache_it = this->extract_cache_.find(cache_key);
+  if (cache_it != this->extract_cache_.end()) {
+    return cache_it->second;
+  }
+
+  const std::string encoded = this->client_->UrlEncode(cache_key);
+  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 = this->client_->Get(url);
+
+  boost::system::error_code parse_error;
+  boost::json::value doc = boost::json::parse(body, parse_error);
+
+  if (!parse_error && 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()) {
+          const std::string_view extract_view = page.at("extract").as_string();
+          std::string extract(extract_view);
+
+          spdlog::debug("WikipediaService fetched {} chars for '{}'",
+                        extract.size(), query);
+
+          this->extract_cache_.emplace(cache_key, extract);
+          return extract;
+        }
+      }
+      this->extract_cache_.emplace(cache_key, std::string{});
+    } catch (const std::exception& e) {
+      spdlog::warn(
+          "WikipediaService: failed to parse response structure for '{}': "
+          "{}",
+          query, e.what());
+      return {};
+    }
+  } else if (parse_error) {
+    spdlog::warn("WikipediaService: JSON parse error for '{}': {}", query,
+                 parse_error.message());
+  }
+
+  return {};
+}

pipeline/src/services/wikipedia/get_summary.cc

@@ -0,0 +1,47 @@
+/**
+ * @file wikipedia/get_summary.cc
+ * @brief WikipediaService::GetLocationContext() implementation.
+ */
+
+#include <spdlog/spdlog.h>
+
+#include <string>
+
+#include "services/wikipedia_service.h"
+
+std::string WikipediaService::GetLocationContext(const Location& loc) {
+  if (!client_) {
+    return {};
+  }
+
+  std::string result;
+
+  std::string region_query(loc.city);
+  if (!loc.country.empty()) {
+    region_query += ", ";
+    region_query += loc.country;
+  }
+
+  const std::string beer_query = "beer in " + loc.country;
+  const std::string city_beer_query = "beer in " + loc.city;
+
+  auto append_extract = [&result](const std::string& extract) -> void {
+    if (extract.empty()) {
+      return;
+    }
+    if (!result.empty()) {
+      result += "\n\n";
+    }
+    result += extract;
+  };
+
+  try {
+    append_extract(FetchExtract(region_query));
+    append_extract(FetchExtract(beer_query));
+    append_extract(FetchExtract(city_beer_query));
+  } catch (const std::runtime_error& e) {
+    spdlog::debug("WikipediaService lookup failed for '{}': {}", region_query,
+                  e.what());
+  }
+  return result;
+}

pipeline/src/services/wikipedia/wikipedia_service.cc

@@ -3,10 +3,9 @@
  * @brief WikipediaService constructor implementation.
  */
 
-#include "services/enrichment/wikipedia_service.h"
+#include "services/wikipedia_service.h"
 
 #include <utility>
 
-WikipediaEnrichmentService::WikipediaEnrichmentService(
-    std::unique_ptr<WebClient> client)
+WikipediaService::WikipediaService(std::unique_ptr<WebClient> client)
     : client_(std::move(client)) {}

pipeline/src/web_client/curl_global_state.cc

@@ -0,0 +1,19 @@
+/**
+ * @file web_client/curl_global_state.cc
+ * @brief CurlGlobalState constructor and destructor implementation.
+ */
+
+#include <curl/curl.h>
+
+#include <stdexcept>
+
+#include "web_client/curl_web_client.h"
+
+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(); }

pipeline/src/web_client/curl_web_client_get.cc

@@ -0,0 +1,77 @@
+/**
+ * @file web_client/curl_web_client_get.cc
+ * @brief CURLWebClient::Get() implementation.
+ */
+
+#include "web_client/curl_web_client.h"
+
+#include <cstdint>
+#include <memory>
+#include <stdexcept>
+#include <string>
+
+#include <curl/curl.h>
+
+using CurlHandle = std::unique_ptr<CURL, decltype(&curl_easy_cleanup)>;
+
+static constexpr int64_t kConnectionTimeout = 10;
+static constexpr int64_t kRequestTimeout = 30;
+static constexpr int64_t kOkHttpStatus = 200;
+
+static CurlHandle CreateHandle() {
+  CURL* handle = curl_easy_init();
+  if (handle == nullptr) {
+    throw std::runtime_error(
+        "[CURLWebClient] Failed to initialize libcurl handle");
+  }
+  return {handle, &curl_easy_cleanup};
+}
+
+static void SetCommonGetOptions(CURL* curl, const std::string& url) {
+  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, kConnectionTimeout);
+  curl_easy_setopt(curl, CURLOPT_TIMEOUT, kRequestTimeout);
+  curl_easy_setopt(curl, CURLOPT_ACCEPT_ENCODING, "gzip");
+}
+
+// curl write callback that appends response data into a std::string
+static size_t WriteCallbackString(void* contents, const size_t size,
+                                  const size_t nmemb, void* userp) {
+  const size_t real_size = size * nmemb;
+  auto* str = static_cast<std::string*>(userp);
+  str->append(static_cast<char*>(contents), real_size);
+  return real_size;
+}
+
+std::string CURLWebClient::Get(const std::string& url) {
+  const CurlHandle curl = CreateHandle();
+
+  std::string response_string;
+
+  SetCommonGetOptions(curl.get(), url);
+
+  curl_easy_setopt(curl.get(), CURLOPT_WRITEFUNCTION, WriteCallbackString);
+  curl_easy_setopt(curl.get(), CURLOPT_WRITEDATA, &response_string);
+
+  CURLcode curl_result = curl_easy_perform(curl.get());
+
+  if (curl_result != CURLE_OK) {
+    const auto error = std::string("[CURLWebClient] GET failed: ") +
+                       curl_easy_strerror(curl_result);
+    throw std::runtime_error(error);
+  }
+
+  int64_t http_code = 0;
+  curl_easy_getinfo(curl.get(), CURLINFO_RESPONSE_CODE, &http_code);
+
+  if (http_code != kOkHttpStatus) {
+    const std::string error = "[CURLWebClient] HTTP error " +
+                              std::to_string(http_code) + " for URL " + url;
+    throw std::runtime_error(error);
+  }
+
+  return response_string;
+}

pipeline/src/web_client/curl_web_client_url_encode.cc

@@ -0,0 +1,24 @@
+/**
+ * @file web_client/curl_web_client_url_encode.cc
+ * @brief CURLWebClient::UrlEncode() implementation.
+ */
+
+#include <curl/curl.h>
+
+#include <stdexcept>
+#include <string>
+
+#include "web_client/curl_web_client.h"
+
+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) {
+    throw std::runtime_error("[CURLWebClient] curl_easy_escape failed");
+  }
+
+  std::string result(output);
+  curl_free(output);
+  return result;
+}