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Pipeline: Add LLM and mocked user generation to the pipeline (#230)
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# Biergarten Pipeline
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A C++20 command-line pipeline that samples city records from local JSON,
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enriches each with Wikipedia context, and generates bilingual brewery names and
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descriptions via a local GGUF model or a deterministic mock.
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enriches each with Wikipedia context, and generates bilingual brewery names
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and descriptions plus locale-grounded user profiles via a local GGUF model or
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a deterministic mock.
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> **This pipeline produces AI-generated data.** It is not a source of truth for
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> brewing techniques, cultural representation, or local-language accuracy. See
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@@ -45,6 +46,7 @@ step.
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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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| User accounts and profiles | Locale-grounded names, bios, and an auth-ready email/date-of-birth pair for seeding real accounts |
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---
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@@ -218,35 +220,46 @@ environment variables listed above to match your run.
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### Pipeline Stages
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| Stage | Implementation |
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| -------- | --------------------------------------------------------------------------------------------------------------------------------------- |
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| Load | `JsonLoader::LoadLocations()` reads `locations.json` into typed `Location` records. |
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| Sample | `BiergartenPipelineOrchestrator::QueryCitiesWithCountries()` samples `--location-count` locations per run (default `10`). |
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| Enrich | `WikipediaEnrichmentService` fetches brewing and beer-related context. Keeps going when a lookup fails. `--mocked` runs use `MockEnrichmentService` instead and skip Wikipedia entirely. |
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| Generate | `MockGenerator` or `LlamaGenerator` produces brewery names and descriptions in English and the local language. |
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| Store | `SqliteExportService` writes each successful brewery into a fresh dated `.sqlite` database with normalized location and brewery tables. |
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| Log | `spdlog` writes results and warnings to the console. |
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| Stage | Implementation |
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| --------------- | ----------------------------------------------------------------------------------------------------------------------------------------- |
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| Load | `ICuratedDataService` (`CuratedJsonDataService`) reads `locations.json`, `personas.json`, `forenames-by-country.json`, and `surnames-by-country.json` (paths supplied via a `CuratedDataFilePaths` DTO at construction) into typed records, caching each after its first load. `--mocked` runs use `MockCuratedDataService`'s fixed in-memory dataset instead. |
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| Sample | `BiergartenPipelineOrchestrator::QueryCitiesWithCountries()` samples `--location-count` locations per run (default `10`). |
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| Enrich | `WikipediaEnrichmentService` fetches brewing and beer-related context. Keeps going when a lookup fails. `--mocked` runs use `MockEnrichmentService` instead and skip Wikipedia entirely. |
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| Generate Users | `GenerateUsers()` samples a persona and a forename/surname pair per enriched city (skipping countries with no name data), then `MockGenerator` or `LlamaGenerator` produces a username, bio, and activity weight around the sampled name. |
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| Generate Breweries | `MockGenerator` or `LlamaGenerator` produces brewery names and descriptions in English and the local language. |
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| Store | `SqliteExportService` writes each successful user and brewery into a fresh dated `.sqlite` database with normalized `locations`, `users`, and `breweries` tables. |
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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
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pipeline continues.
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If name sampling, enrichment, or generation fails for a city, that city is
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skipped and the pipeline continues. `GenerateUsers()` runs before
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`GenerateBreweries()` in `BiergartenPipelineOrchestrator::Run()`.
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### Key Components
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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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- `CuratedJsonDataService` — implements `ICuratedDataService`; takes a
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`CuratedDataFilePaths` DTO (locations/personas/forenames/surnames paths) in
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its constructor, then parses and validates curated location, persona, and
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forename/surname JSON, memoizing each result after its first load on a
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given instance. `MockCuratedDataService` is the in-memory substitute (4
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fixed locations, 3 personas, and name data for `US`/`DE`/`FR`/`BE`) used in
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`--mocked` runs.
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- `WikipediaEnrichmentService` — queries Wikipedia extracts, caches results,
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returns empty context on failure. `MockEnrichmentService` is the no-op
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substitute used in `--mocked` runs.
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- `LlamaGenerator` — formats prompts for Gemma 4, validates JSON output, retries
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malformed responses up to three times with corrective feedback in the
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retry prompt. The token budget is fixed across attempts; it is not raised
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automatically on truncation.
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- `MockGenerator` — stable hash-based output so the same city input always
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produces the same brewery.
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- `SqliteExportService` — creates a dated SQLite file per run and persists each
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successful brewery into normalized tables.
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- `LlamaGenerator` — formats prompts for Gemma 4, validates JSON output for
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both `GenerateBrewery` and `GenerateUser`, retries malformed responses up
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to three times with corrective feedback in the retry prompt. The token
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budget is fixed across attempts; it is not raised automatically on
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truncation.
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- `MockGenerator` — stable hash-based output so the same city/persona/name
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input always produces the same brewery or user.
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- `SqliteExportService` — creates a dated SQLite file per run and persists
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each successful user and brewery into normalized tables.
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- Brewery payloads include English and local-language name and description
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fields.
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fields. User payloads carry a sampled first/last name and gender, an
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LLM-generated username/bio/activity weight, and a programmatically
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generated (not LLM-authored) unique email and date of birth.
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### Runtime Behaviour
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@@ -266,6 +279,18 @@ valid output on the first pass; the retry path is kept for resilience.
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`MockGenerator` uses stable hashes for repeatable output in demos and Storybook
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runs.
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`CuratedJsonDataService` memoizes each of `LoadLocations()`, `LoadPersonas()`,
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`LoadForenamesByCountry()`, and `LoadSurnamesByCountry()` independently the
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first time each is called, since `BiergartenPipelineOrchestrator` owns a
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single `ICuratedDataService` instance for the whole run — later calls return
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the cached result instead of re-parsing.
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`GenerateUsers()` samples a forename/surname pair per city via `SampleName()`,
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keyed by the city's ISO 3166-1 code. Countries present in `locations.json`
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but absent from either name fixture (currently `KE`, `SE`, `SG`, `TH`, `VN`,
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`ZA`) are skipped, the same way a failed enrichment or generation call skips
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a city — see ETHICS-AND-KNOWN-ISSUES.md's Names-by-Country Dataset section.
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### Process Flow - Activity Diagram
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@@ -278,9 +303,10 @@ runs.
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## Generated Output
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Each successful run stores a `GeneratedBrewery` pair with the source location
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and a `BreweryResult` payload. The same generated records are also written to a
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fresh SQLite export file named with the current UTC timestamp.
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Each successful run stores a `BreweryRecord` pair with the source location
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and a `BreweryResult` payload, and a `UserRecord` pair with the source
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location and a `UserResult` payload. The same generated records are also
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written to a fresh SQLite export file named with the current UTC timestamp.
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| Field | Meaning |
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| ------------------- | ------------------------------------------ |
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@@ -289,6 +315,17 @@ fresh SQLite export file named with the current UTC timestamp.
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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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| Field | Meaning |
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| ----------------- | ----------------------------------------------------------------- |
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| `first_name` | Sampled forename, copied from the curated name data (not LLM-invented). |
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| `last_name` | Sampled surname, copied from the curated name data (not LLM-invented). |
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| `gender` | Gender associated with the sampled forename in the source dataset. |
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| `username` | LLM-generated handle. |
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| `bio` | LLM-generated short biography. |
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| `activity_weight` | Relative check-in/activity weight, reserved for a future J-curve activity profile. |
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| `email` | Unique `@thebiergarten.app` address, generated programmatically from the sampled name. |
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| `date_of_birth` | Randomized date of birth (age 19-48), generated programmatically. |
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The log dump also includes city, country, state or province, ISO subdivision
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code, latitude, and longitude for each entry.
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@@ -367,11 +404,17 @@ Silicon; CUDA or HIP/ROCm is detected on Linux when the toolkit is present.
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## Fixture Strategy
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- `--mocked` for stable fixtures, repeatable screenshots, and Storybook runs.
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`MockCuratedDataService` swaps in for `CuratedJsonDataService`, so no
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fixture files need to be present on disk.
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- `--model` when geographically grounded content matters for demos.
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- Keep `locations.json` structured enough to support discovery and future
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filtering.
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- Treat SQLite output as seed material for the app's brewery domain, not
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production data.
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- `personas.json`, `forenames-by-country.json`, and
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`surnames-by-country.json` are curated/vendored fixture data, not
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LLM-generated — see ETHICS-AND-KNOWN-ISSUES.md's Names-by-Country Dataset
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section for provenance.
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- Treat SQLite output as seed material for the app's brewery and user
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domains, not production data.
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---
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@@ -382,6 +425,9 @@ Silicon; CUDA or HIP/ROCm is detected on Linux when the toolkit is present.
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| `tooling/pipeline/includes/` | Public headers and shared models. |
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| `tooling/pipeline/src/` | Implementation files. |
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| `tooling/pipeline/locations.json` | Curated city input copied into the build tree. |
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| `tooling/pipeline/personas.json` | Curated user persona archetypes copied into the build tree. |
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| `tooling/pipeline/forenames-by-country.json` | Vendored (CC0) forename data by ISO 3166-1 country code. |
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| `tooling/pipeline/surnames-by-country.json` | Vendored (CC0) surname data by ISO 3166-1 country code. |
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| `tooling/pipeline/prompts/` | System prompts used by the model-backed path. |
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| `tooling/pipeline/runpod/` | Dockerfile, launcher, and RunPod pod template. |
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| `docs/pipeline/diagrams/` | Architecture and pipeline diagrams. |
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@@ -396,6 +442,9 @@ Paths below are relative to `tooling/pipeline/`.
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- `src/main.cc` — argument parsing and DI composition root.
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- `src/biergarten_pipeline_orchestrator/` — orchestration, sampling, logging,
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and export.
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- `src/services/curated_data/` — `CuratedJsonDataService`, the file-backed
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`ICuratedDataService`, and `MockCuratedDataService`, the in-memory
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`ICuratedDataService` used in `--mocked` runs.
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- `src/services/enrichment/wikipedia/` — enrichment service and cache.
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- `src/services/sqlite/` — SQLite export implementation.
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- `src/data_generation/llama/` — local inference, prompt loading, output
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@@ -407,11 +456,12 @@ Paths below are relative to `tooling/pipeline/`.
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## Next Steps
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The pipeline currently produces city-aware brewery records and dated SQLite
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exports. The next passes add additional fixture types so the app can exercise
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the full brewery domain without live data. For the detailed engineering
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breakdown of what's needed to reach the architecture in
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[`diagrams/planned/`](./diagrams/planned/), see [ROADMAP.md](./ROADMAP.md).
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The pipeline currently produces city-aware brewery and user records and
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dated SQLite exports. The next passes add additional fixture types so the
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app can exercise the full brewery and social domains without live data. For
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the detailed engineering breakdown of what's needed to reach the
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architecture in [`diagrams/planned/`](./diagrams/planned/), see
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[ROADMAP.md](./ROADMAP.md).
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### Testing — Very High Priority
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@@ -433,12 +483,6 @@ Generate catalog entries with style, ABV, IBU, color, aroma notes, and food
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pairing hints. Link beers back to breweries and cities. Keep style coverage wide
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enough to exercise search, sort, and category filters.
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### User Generation
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Generate user profiles with stable names, bios, locale hints, and preference
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signals. Include stable IDs for downstream fixture joins. Keep output
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deterministic for screenshots while allowing larger randomized batches.
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### Check-In System
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Produce timestamped check-in events between users and breweries. Use a J-curve
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