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# Biergarten Pipeline
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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.
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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.
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## Tested Hardware & OS
|
||||
---
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||||
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### ARM MacOS, M1 Pro
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## Table of Contents
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||||
- **Host**: MacBook Pro 14" (2021)
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- **CPU**: Apple M1 Pro (8-core)
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- **GPU**: Apple M1 Pro (14-core) [Integrated]
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- **Memory**: 16GB
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- **Model**: Gemma 4 E4B: efficient local reasoning; released Apr 2, 2026.
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- **Inference**: llama.cpp with Metal (MPS) support
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- [How It Fits the Main App](#how-it-fits-the-main-app)
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- [Tech Stack](#tech-stack)
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- [Build](#build)
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- [Model](#model)
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- [Run](#run)
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- [Architecture](#architecture)
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- [Pipeline Stages](#pipeline-stages)
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- [Key Components](#key-components)
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- [Runtime Behaviour](#runtime-behaviour)
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- [Generated Output](#generated-output)
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- [Language Generation Quality](#language-generation-quality)
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- [Known Issues](#known-issues)
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- [Tested Hardware](#tested-hardware)
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- [Repo Layout](#repo-layout)
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- [Code Tour](#code-tour)
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- [Fixture Strategy](#fixture-strategy)
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- [Next Steps](#next-steps)
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### x86/64 Linux, NVIDIA RTX 2000
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---
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||||
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- **Host**: ThinkPad P1 Gen 7 (Fedora 43)
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- **CPU**: Intel Core Ultra 7 155H
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- **GPU**: NVIDIA RTX 2000 Ada Generation
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- **Memory**: 32GB
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- **Model**: Gemma 4 E4B: efficient local reasoning; released Apr 2, 2026.
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- **Inference**: llama.cpp with CUDA 12.x support
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## How It Fits the Main App
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## Pipeline
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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.
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| Stage | What happens |
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| -------- | ----------------------------------------------------------------------- |
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| Load | Reads `locations.json` and picks up to four city/country pairs. |
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| Enrich | Calls the injected enrichment service for each sampled city. |
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| Generate | Passes the city, country, and gathered context to the active generator. |
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| Log | Writes the generated breweries and any warnings through `spdlog`. |
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| Planned app area | Pipeline contribution |
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| -------------------------------- | ------------------------------------------------------------------ |
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| Brewery discovery and management | Sampled city records, localized names, long-form descriptions |
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| Beer reviews and ratings | Stable brewery fixtures with enough context to anchor review pages |
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| Social follow relationships | Repeatable brewery entities for feeds, follows, and saved lists |
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| Geospatial brewery experiences | Latitude, longitude, and country-level metadata |
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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.
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---
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## Core Components
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## Tech Stack
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| Component | Role |
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| ----------------------- | ---------------------------------------------------------------------- |
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| BiergartenDataGenerator | Orchestrates loading, enrichment lookup, generation, and logging. |
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| IEnrichmentService | Abstraction for location-context providers. |
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| WikipediaService | Default enrichment provider backed by Wikipedia and in-memory caching. |
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| LlamaGenerator | Runs local GGUF inference and validates output. |
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| MockGenerator | Produces deterministic fallback data without a model. |
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| JsonLoader | Parses the local `locations.json` file. |
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| CURLWebClient | Handles HTTP requests to Wikipedia. |
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- C++20
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- CMake 3.24+
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- Boost.JSON, Boost.ProgramOptions, Boost.DI
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- spdlog
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- libcurl
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- llama.cpp
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The build fetches Boost.DI, spdlog, and llama.cpp via CMake. Metal is enabled on Apple Silicon; CUDA or HIP/ROCm is detected on Linux when the toolkit is present.
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> **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.
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||||
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||||
---
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||||
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||||
## Build
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||||
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||||
| Requirement | Notes |
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||||
| -------------------- | -------------------------------------------------------------------------- |
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||||
| C++23 compiler | GCC 13+ or Clang 16+ are good starting points. |
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| CMake | Version 3.24 or newer. |
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| libcurl | Required for Wikipedia requests. |
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| Optional GPU tooling | CUDA on NVIDIA, HIP/ROCm on supported AMD systems, Metal on Apple Silicon. |
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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.
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Requirements: C++20 compiler, CMake 3.24+, libcurl, Boost (JSON and ProgramOptions).
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```bash
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cmake -S . -B build
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cmake --build build
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```
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If the dependency build fails on macOS, check the repo build notes.
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---
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## Model
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Create a `models/` directory and download the GGUF file there before running the app.
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> Skip this step if you only need `--mocked`.
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```bash
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mkdir -p models
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curl -L \
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-o models/google_gemma-4-E4B-it-Q6_K.gguf \
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https://huggingface.co/bartowski/google_gemma-4-E4B-it-GGUF/resolve/main/google_gemma-4-E4B-it-Q6_K.gguf?download=true
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-o models/google_gemma-4-E4B-it-Q6_K.gguf \
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https://huggingface.co/bartowski/google_gemma-4-E4B-it-GGUF/resolve/main/google_gemma-4-E4B-it-Q6_K.gguf?download=true
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```
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---
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## Run
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Run the executable from the build directory so the copied `locations.json` and `prompts/` directory are available.
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Run from `build/` so the copied `locations.json` and `prompts/` are available.
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```bash
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./biergarten-pipeline --mocked
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./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
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```
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||||
| Flag | Purpose |
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||||
| --------------- | ---------------------------------------------------------------------------- |
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| `--mocked` | Uses the mock generator instead of a model. |
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| `--model, -m` | Path to a GGUF model file, such as `models/google_gemma-4-E4B-it-Q6_K.gguf`. |
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| `--temperature` | Sampling temperature. Default: `1.0`. |
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||||
| `--top-p` | Nucleus sampling parameter. Default: `0.95`. |
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||||
| `--top-k` | Top-k sampling parameter. Default: `64`. |
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||||
| `--n-ctx` | Context window size. Default: `8192`. |
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| `--seed` | Random seed. Default: `-1`. |
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||||
| `--help, -h` | Prints usage. |
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### CLI Flags
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||||
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`--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.
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| Flag | Purpose |
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||||
| --------------- | ------------------------------------------------------- |
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| `--mocked` | Deterministic mock generator, no model required. |
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| `--model, -m` | Path to a GGUF file. Required unless `--mocked` is set. |
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||||
| `--temperature` | Sampling temperature. Default: `1.0`. |
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| `--top-p` | Nucleus sampling. Default: `0.95`. |
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| `--top-k` | Top-k sampling. Default: `64`. |
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| `--n-ctx` | Context window size. Default: `8192`. |
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| `--seed` | Random seed. Default: `-1` (random at runtime). |
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||||
| `--help, -h` | Print usage and exit. |
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||||
## Layout
|
||||
`--mocked` and `--model` are mutually exclusive. Omitting both exits with an error before the pipeline starts. Sampling flags are ignored when `--mocked` is set.
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||||
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||||
| Path | Use |
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||||
| ---------------- | ------------------------------------------- |
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||||
| `includes/` | Public headers. |
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||||
| `src/` | Implementation files. |
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||||
| `locations.json` | Input city list copied into the build tree. |
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| `prompts/` | Prompt text used by the model path. |
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||||
The post-build step copies `prompts/` into `build/prompts/`. Rebuild after editing [prompts/system.md](prompts/system.md).
|
||||
|
||||
---
|
||||
|
||||
## Architecture
|
||||
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||||
### Pipeline Stages
|
||||
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||||
| Stage | Implementation |
|
||||
| -------- | -------------------------------------------------------------------------------------------------------------- |
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||||
| Load | `JsonLoader::LoadLocations()` reads `locations.json` into typed `Location` records. |
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| Sample | `BiergartenDataGenerator::QueryCitiesWithCountries()` samples up to 50 locations per run. |
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| Enrich | `WikipediaService` fetches city and beer context. Keeps going when a lookup fails. |
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| Generate | `MockGenerator` or `LlamaGenerator` produces brewery names and descriptions in English and the local language. |
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| Log | `spdlog` writes results and warnings to the console. |
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If enrichment or generation fails for a city, that city is skipped and the pipeline continues.
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||||
### Key Components
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||||
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||||
- `src/main.cc` — argument parsing and Boost.DI composition root.
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- `JsonLoader` — validates curated location input.
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||||
- `WikipediaService` — queries English and local-language extracts, caches results, returns empty context on failure.
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||||
- `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.
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- `MockGenerator` — stable hash-based output so the same city input always produces the same brewery.
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- Brewery payloads include English and local-language name and description fields.
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### Runtime Behaviour
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`WikipediaService` queries city, country, and beer-related Wikipedia extracts in both English and the local language, then caches the first successful response per query string. Both extracts are passed into the prompt so the model can draw on local-language sources without a separate translation step.
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||||
`GetLocationContext()` returns an empty string when the web client is unavailable or when lookup/parsing fails.
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||||
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||||
`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.
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||||
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||||
`MockGenerator` uses stable hashes for repeatable output in demos and Storybook runs.
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||||
### Process Flow — Activity Diagram
|
||||
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||||
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||||
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||||
### Architectural Overview — Class Diagram
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||||
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||||
|
||||
|
||||
---
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||||
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||||
## Generated Output
|
||||
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Each successful run stores a `GeneratedBrewery` pair with the source location and a `BreweryResult` payload.
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| Field | Meaning |
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| ------------------- | ------------------------------------------ |
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| `name_en` | Brewery name in English. |
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| `description_en` | Brewery description in English. |
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| `name_local` | Brewery name in the local language. |
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| `description_local` | Brewery description in the local language. |
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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 |
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| `iso3166_1`, `iso3166_2` | Filtering, regional grouping, locale matching |
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| `latitude`, `longitude` | Map pins and nearby brewery views |
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| `local_languages` | Locale-aware copy selection |
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| `name_en`, `description_en` | Default English display content |
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| `name_local`, `description_local` | Local-language display content |
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| `region_context` | Richer copy for cards and detail pages |
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||||
|
||||
---
|
||||
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||||
## Language Generation Quality
|
||||
|
||||
The generation pipeline passes local language codes to the model to retrieve a translated `description_local`.
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||||
|
||||
Output quality is reliable for high-resource languages such as French, though it may struggle with regional variants and idiomatic phrasing. This can be seen with these data points:
|
||||
|
||||
```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,
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||||
"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"]
|
||||
}
|
||||
]
|
||||
```
|
||||
|
||||
Output sample: [./out-sample/french-cities.log.example](out-sample/french-cities.log.example)
|
||||
|
||||
### Known Issues
|
||||
|
||||
#### Low-Resource Language Hallucination
|
||||
|
||||
For languages such as Welsh (Wales), Maori (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.
|
||||
|
||||
#### 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.
|
||||
|
||||
---
|
||||
|
||||
## 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 |
|
||||
|
||||
---
|
||||
|
||||
## 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 prompt used by the model-backed path. |
|
||||
| `diagrams/` | Architecture and pipeline diagrams. |
|
||||
|
||||
---
|
||||
|
||||
## Code Tour
|
||||
|
||||
- `src/main.cc` — argument parsing and DI composition root.
|
||||
- `src/biergarten_data_generator/` — orchestration, sampling, logging.
|
||||
- `src/services/wikipedia/` — enrichment service and cache.
|
||||
- `src/data_generation/llama/` — local inference, prompt loading, output validation.
|
||||
- `src/data_generation/mock/` — deterministic fallback.
|
||||
|
||||
---
|
||||
|
||||
## 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.
|
||||
|
||||
---
|
||||
|
||||
## Next Steps
|
||||
|
||||
The pipeline currently produces city-aware brewery records. The next passes add SQLite output and additional fixture types so the app can exercise the full brewery domain without live data.
|
||||
|
||||
### SQLite Output _(Highest Importance)_
|
||||
|
||||
Write generated records to a SQLite database for downstream OLTP seeding. Normalized schema with foreign keys between locations and breweries. Output replaces the current log-only result so the pipeline functions as a proper ingestion layer.
|
||||
|
||||
### Testing _(Very High Importance)_
|
||||
|
||||
- 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.
|
||||
|
||||
@@ -1,169 +0,0 @@
|
||||
@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_en: std::string
|
||||
+description_en: std::string
|
||||
+name_local: std::string
|
||||
+description_local: 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
|
||||
128
pipeline/diagrams/activity-diagram.puml
Normal file
128
pipeline/diagrams/activity-diagram.puml
Normal file
@@ -0,0 +1,128 @@
|
||||
@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 transparent
|
||||
skinparam SwimlaneBorderThickness 0
|
||||
|
||||
title The Biergarten Data Pipeline
|
||||
|
||||
|#F2F6F0|main.cc|
|
||||
start
|
||||
:ParseArguments(argc, argv);
|
||||
note right
|
||||
Validates --mocked, --model,
|
||||
--temperature, --top-p, etc.
|
||||
end note
|
||||
|
||||
if (Are arguments valid?) then (no)
|
||||
:spdlog::error usage info;
|
||||
stop
|
||||
else (yes)
|
||||
endif
|
||||
|
||||
:Init CurlGlobalState & LlamaBackendState;
|
||||
:di::make_injector(...);
|
||||
note right
|
||||
Binds CURLWebClient, WikipediaService,
|
||||
Gemma4JinjaPromptFormatter, and
|
||||
either MockGenerator or LlamaGenerator
|
||||
end note
|
||||
:injector.create<BiergartenDataGenerator>();
|
||||
:BiergartenDataGenerator::Run();
|
||||
|
||||
|#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);
|
||||
:FetchExtract("City, Country");
|
||||
:FetchExtract("beer in Country");
|
||||
:FetchExtract("beer in City");
|
||||
note right: Backed by CURLWebClient::Get
|
||||
|
||||
|#EAF0E8|BiergartenDataGenerator|
|
||||
if (Lookup failed?) then (yes)
|
||||
:spdlog::warn "context lookup failed";
|
||||
else (no)
|
||||
:Store EnrichedCity{Location, region_context};
|
||||
endif
|
||||
endwhile (Done)
|
||||
|
||||
:GenerateBreweries(enriched_cities);
|
||||
|
||||
|#E5EDE1|DataGenerator|
|
||||
while (For each EnrichedCity?) is (Remaining cities)
|
||||
if (Generator Mode) then (MockGenerator)
|
||||
:DeterministicHash(location);
|
||||
:Select from kBreweryAdjectives, kBreweryNouns,\nkBreweryDescriptions;
|
||||
:Format BreweryResult;
|
||||
else (LlamaGenerator)
|
||||
:PrepareRegionContext(region_context);
|
||||
:LoadBrewerySystemPrompt("prompts/system.md");
|
||||
:Format user_prompt;
|
||||
:Attempt = 0;
|
||||
repeat
|
||||
:Infer(system_prompt, user_prompt, max_tokens, kBreweryJsonGrammar);
|
||||
note right
|
||||
Uses Gemma4JinjaPromptFormatter,
|
||||
llama_tokenize, and llama_sampler_sample
|
||||
end note
|
||||
:ValidateBreweryJson(raw, brewery);
|
||||
|
||||
if (Is JSON Valid?) then (yes)
|
||||
break
|
||||
else (no)
|
||||
if (Error == "incomplete JSON") then (yes)
|
||||
:max_tokens += 700;
|
||||
endif
|
||||
:Update user_prompt with validation error;
|
||||
:Attempt++;
|
||||
endif
|
||||
|
||||
repeat while (Attempt < 3?) is (yes)
|
||||
|
||||
if (Still Invalid?) then (yes)
|
||||
:throw std::runtime_error;
|
||||
else (no)
|
||||
:Return BreweryResult;
|
||||
endif
|
||||
endif
|
||||
|
||||
|#EAF0E8|BiergartenDataGenerator|
|
||||
if (Exception thrown?) then (yes)
|
||||
:spdlog::warn "brewery generation failed";
|
||||
else (no)
|
||||
:Store GeneratedBrewery;
|
||||
endif
|
||||
|#E5EDE1|DataGenerator|
|
||||
endwhile (Done)
|
||||
|
||||
|#EAF0E8|BiergartenDataGenerator|
|
||||
:LogResults();
|
||||
note right: spdlog::info dump of generated JSON fields
|
||||
|
||||
|#F2F6F0|main.cc|
|
||||
:Return 0;
|
||||
stop
|
||||
|
||||
@enduml
|
||||
1
pipeline/diagrams/activity-diagram.svg
Normal file
1
pipeline/diagrams/activity-diagram.svg
Normal file
File diff suppressed because one or more lines are too long
112
pipeline/diagrams/class-diagram.puml
Normal file
112
pipeline/diagrams/class-diagram.puml
Normal file
@@ -0,0 +1,112 @@
|
||||
@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>
|
||||
- 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 CURLWebClient {
|
||||
+ 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>
|
||||
}
|
||||
|
||||
' Structural Relationships / Dependency Injection
|
||||
BiergartenDataGenerator *-- IEnrichmentService : owns
|
||||
BiergartenDataGenerator *-- DataGenerator : owns
|
||||
|
||||
IEnrichmentService <|.. WikipediaService : implements
|
||||
WikipediaService *-- WebClient : owns
|
||||
|
||||
WebClient <|.. CURLWebClient : implements
|
||||
|
||||
DataGenerator <|.. MockGenerator : implements
|
||||
DataGenerator <|.. LlamaGenerator : implements
|
||||
|
||||
LlamaGenerator *-- IPromptFormatter : uses
|
||||
|
||||
IPromptFormatter <|.. Gemma4JinjaPromptFormatter : implements
|
||||
|
||||
BiergartenDataGenerator ..> JsonLoader : uses
|
||||
@enduml
|
||||
1
pipeline/diagrams/class-diagram.svg
Normal file
1
pipeline/diagrams/class-diagram.svg
Normal file
File diff suppressed because one or more lines are too long
@@ -135,7 +135,7 @@ class LlamaGenerator final : public DataGenerator {
|
||||
std::mt19937 rng_;
|
||||
uint32_t n_ctx_ = kDefaultContextSize;
|
||||
std::string brewery_system_prompt_;
|
||||
std::shared_ptr<IPromptFormatter> prompt_formatter_;
|
||||
std::unique_ptr<IPromptFormatter> prompt_formatter_;
|
||||
};
|
||||
|
||||
#endif // BIERGARTEN_PIPELINE_INCLUDES_DATA_GENERATION_LLAMA_GENERATOR_H_
|
||||
|
||||
303
pipeline/out-sample/french-cities.example
Normal file
303
pipeline/out-sample/french-cities.example
Normal file
@@ -0,0 +1,303 @@
|
||||
[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
|
||||
@@ -8,19 +8,19 @@ You will receive the inputs like this:
|
||||
|
||||
## CITY:
|
||||
|
||||
$$City Name$$
|
||||
[City Name]
|
||||
|
||||
## COUNTRY:
|
||||
|
||||
$$Country Name$$
|
||||
[Country Name]
|
||||
|
||||
## LOCAL LANGUAGE CODES:
|
||||
|
||||
$$Local language codes in priority order$$
|
||||
[Local language codes in priority order]
|
||||
|
||||
## CONTEXT:
|
||||
|
||||
$$Information about local beer culture, history, geography, or language context$$
|
||||
[Information about local beer culture, history, geography, or language context]
|
||||
|
||||
## CRITICAL OUTPUT FORMAT (READ CAREFULLY):
|
||||
|
||||
@@ -111,24 +111,3 @@ The following patterns are common AI writing pitfalls and must not appear in eit
|
||||
### VOICE & PERSPECTIVE:
|
||||
|
||||
The description must be written in the first person, from the perspective of the brewery's owner. Favour "we" and "our" over "I" and "my." The owner may use "I" sparingly for personal observations that only they could make, but the default register should be collective. The tone should feel lived-in and a little weathered. Do not use third-person or second-person pronouns.
|
||||
|
||||
## EXAMPLE:
|
||||
|
||||
Input:
|
||||
CITY: Montréal
|
||||
COUNTRY: Canada
|
||||
LOCAL LANGUAGE CODES: fr-CA, en-CA
|
||||
CONTEXT: Montréal has been brewing since 1646 when Jesuit Brother Ambroise first introduced brewing to New France. By the 19th century, Pointe-Saint-Charles became the industrial heart of the city, home to railway yards, canal workers, and a tavern on nearly every block. Molson, one of North America's oldest commercial breweries, has operated on the St. Lawrence since 1786. By the early 1980s, Molson, Labatt, and Carling controlled 96% of the Quebec beer market. The craft revival began slowly in the late 1980s and has accelerated sharply since 2002, when 33 brewing companies have grown to over 300 province-wide.
|
||||
|
||||
$$Truncated for brevity, but assumes full context provided$$
|
||||
|
||||
Output:
|
||||
|
||||
```json
|
||||
{
|
||||
"name_en": "Canal Street Grain & Ferment",
|
||||
"description_en": "In February the wind off the Lachine Canal has a particular quality, wet and cold in a way that feels industrial, like it's been sitting in the lock chambers since the last barge went through. Pointe-Saint-Charles used to be called the neighbourhood of a hundred taverns, and you can still see the old storefronts with sealed windows and faded signage for brands that haven't existed in forty years. We started in 2019 in a former rail maintenance shed two streets from the canal. The inspection pit where mechanics used to work under locomotives is still in the floor, we covered it with plate steel, and on cold nights it hums from the temperature differential. Our house ale runs through a turbid mash borrowed loosely from Belgian lambic practice, never fully clarified before fermentation, which keeps the mouthfeel thick through a long cold secondary. It took two winters to dial in. The plate steel end of the room is where things tend to get quiet on a slow Tuesday.",
|
||||
"name_local": "Fermentation rue du Canal",
|
||||
"description_local": "En février, le vent du canal Lachine a quelque chose de particulier, humide et froid d'une façon qui sent le fer et le béton mouillé. La Pointe s'appelait autrefois le quartier aux cent tavernes, et on voit encore les vieilles devantures aux fenêtres condamnées, avec leurs enseignes pour des marques disparues depuis quarante ans. On a ouvert en 2019 dans un ancien hangar d'entretien ferroviaire à deux rues du canal. La fosse d'inspection où les mécaniciens travaillaient sous les locomotives est encore là dans le plancher, on l'a recouverte d'une plaque d'acier qui vibre les soirs de grand froid. Notre ale maison passe par un empâtage trouble inspiré de la pratique lambic belge, jamais complètement clarifié avant la fermentation, ce qui garde une belle rondeur en bouche après une longue garde à froid. Ça nous a pris deux hivers à stabiliser. Le bout de la salle côté plaque d'acier, c'est là que ça se calme les mardis tranquilles."
|
||||
}
|
||||
```
|
||||
|
||||
@@ -8,6 +8,7 @@
|
||||
|
||||
#include <boost/di.hpp>
|
||||
#include <boost/program_options.hpp>
|
||||
#include <chrono>
|
||||
#include <exception>
|
||||
#include <memory>
|
||||
#include <optional>
|
||||
@@ -131,8 +132,19 @@ std::optional<ApplicationOptions> ParseArguments(const int argc, char** argv) {
|
||||
}
|
||||
}
|
||||
|
||||
struct Timer {
|
||||
std::chrono::steady_clock::time_point start_time =
|
||||
std::chrono::steady_clock::now();
|
||||
[[nodiscard]] int64_t Elapsed() const {
|
||||
return std::chrono::duration_cast<std::chrono::milliseconds>(
|
||||
std::chrono::steady_clock::now() - start_time)
|
||||
.count();
|
||||
}
|
||||
};
|
||||
|
||||
int main(const int argc, char** argv) {
|
||||
try {
|
||||
Timer timer;
|
||||
const CurlGlobalState curl_state;
|
||||
const LlamaBackendState llama_backend_state;
|
||||
spdlog::set_pattern("[%Y-%m-%d %H:%M:%S.%e] [%^%l%$] %v");
|
||||
@@ -173,7 +185,7 @@ int main(const int argc, char** argv) {
|
||||
return 1;
|
||||
}
|
||||
|
||||
spdlog::info("Pipeline executed successfully");
|
||||
spdlog::info("Pipeline executed successfully in {} ms", timer.Elapsed());
|
||||
return 0;
|
||||
} catch (const std::exception& exception) {
|
||||
spdlog::critical("Unhandled fatal error in main: {}", exception.what());
|
||||
|
||||
Reference in New Issue
Block a user