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18 changed files with 1629 additions and 776 deletions

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@@ -13,18 +13,49 @@ find_package(SQLite3 REQUIRED)
include(FetchContent) include(FetchContent)
# RapidJSON (header-only) for true SAX parsing
# Using direct header-only approach without CMakeLists.txt
FetchContent_Declare( FetchContent_Declare(
nlohmann_json rapidjson
GIT_REPOSITORY https://github.com/nlohmann/json.git GIT_REPOSITORY https://github.com/Tencent/rapidjson.git
GIT_TAG v3.11.3 GIT_TAG v1.1.0
SOURCE_SUBDIR "" # Don't use RapidJSON's CMakeLists.txt
) )
FetchContent_MakeAvailable(nlohmann_json) FetchContent_GetProperties(rapidjson)
if(NOT rapidjson_POPULATED)
FetchContent_Populate(rapidjson)
# RapidJSON is header-only; just make include path available
endif()
# TODO: Integrate real llama.cpp when generator is ready to use actual models # spdlog (logging)
# For now, using mocked brewery generation in generator.cpp FetchContent_Declare(
spdlog
GIT_REPOSITORY https://github.com/gabime/spdlog.git
GIT_TAG v1.11.0
)
FetchContent_GetProperties(spdlog)
if(NOT spdlog_POPULATED)
FetchContent_Populate(spdlog)
add_subdirectory(${spdlog_SOURCE_DIR} ${spdlog_BINARY_DIR} EXCLUDE_FROM_ALL)
endif()
# SQLite for in-memory database # llama.cpp (on-device inference)
find_package(SQLite3 REQUIRED) set(LLAMA_BUILD_TESTS OFF CACHE BOOL "" FORCE)
set(LLAMA_BUILD_EXAMPLES OFF CACHE BOOL "" FORCE)
set(LLAMA_BUILD_SERVER OFF CACHE BOOL "" FORCE)
FetchContent_Declare(
llama_cpp
GIT_REPOSITORY https://github.com/ggerganov/llama.cpp.git
GIT_TAG b8611
)
FetchContent_MakeAvailable(llama_cpp)
if(TARGET llama)
target_compile_options(llama PRIVATE
$<$<CXX_COMPILER_ID:AppleClang>:-include algorithm>
)
endif()
file(GLOB_RECURSE SOURCES CONFIGURE_DEPENDS file(GLOB_RECURSE SOURCES CONFIGURE_DEPENDS
src/*.cpp src/*.cpp
@@ -35,14 +66,17 @@ add_executable(biergarten-pipeline ${SOURCES})
target_include_directories(biergarten-pipeline target_include_directories(biergarten-pipeline
PRIVATE PRIVATE
${CMAKE_CURRENT_SOURCE_DIR}/includes ${CMAKE_CURRENT_SOURCE_DIR}/includes
${rapidjson_SOURCE_DIR}/include
${llama_cpp_SOURCE_DIR}/include
) )
target_link_libraries(biergarten-pipeline target_link_libraries(biergarten-pipeline
PRIVATE PRIVATE
CURL::libcurl CURL::libcurl
nlohmann_json::nlohmann_json
Boost::unit_test_framework Boost::unit_test_framework
SQLite::SQLite3 SQLite::SQLite3
spdlog::spdlog
llama
) )
target_compile_options(biergarten-pipeline PRIVATE target_compile_options(biergarten-pipeline PRIVATE
@@ -102,7 +136,6 @@ if(BUILD_TESTING)
Boost::unit_test_framework Boost::unit_test_framework
CURL::libcurl CURL::libcurl
nlohmann_json::nlohmann_json nlohmann_json::nlohmann_json
llama
) )
add_test( add_test(

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@@ -1 +1,414 @@
## Biergarten Pipeline
## Overview
The pipeline orchestrates five key stages:
1. **Download**: Fetches `countries+states+cities.json` from a pinned GitHub commit with optional local caching.
2. **Parse**: Streams JSON using RapidJSON SAX parser, extracting country/state/city records without loading the entire file into memory.
3. **Buffer**: Routes city records through a bounded concurrent queue to decouple parsing from writes.
4. **Store**: Inserts records with concurrent thread safety using an in-memory SQLite database.
5. **Generate**: Produces mock brewery metadata for a sample of cities (mockup for future LLM integration).
---
## Architecture
### Data Sources and Formats
- Hierarchical structure: countries array → states per country → cities per state.
- Fields: `id` (integer), `name` (string), `iso2` / `iso3` (codes), `latitude` / `longitude`.
- Sourced from: [dr5hn/countries-states-cities-database](https://github.com/dr5hn/countries-states-cities-database) on GitHub.
**Output**: Structured SQLite in-memory database + console logs via spdlog.
### Concurrency Architecture
The pipeline splits work across parsing and writing phases:
```
Main Thread:
parse_sax() -> Insert countries (direct)
-> Insert states (direct)
-> Push CityRecord to WorkQueue
Worker Threads (implicit; pthread pool via sqlite3):
Pop CityRecord from WorkQueue
-> InsertCity(db) with mutex protection
```
**Key synchronization primitives**:
- **WorkQueue<T>**: Bounded (default 1024 items) concurrent queue with blocking push/pop, guarded by mutex + condition variables.
- **SqliteDatabase::dbMutex**: Serializes all SQLite operations to avoid `SQLITE_BUSY` and ensure write safety.
**Backpressure**: When the WorkQueue fills (≥1024 city records pending), the parser thread blocks until workers drain items.
### Component Responsibilities
| Component | Purpose | Thread Safety |
| ------------------------- | ------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------- |
| **DataDownloader** | GitHub fetch with curl; optional filesystem cache; handles retries and ETags. | Blocking I/O; safe for single-threaded startup. |
| **StreamingJsonParser** | SAX-style RapidJSON handler; emits country/state/city via callbacks; tracks parse state (array depth, key context). | Single-threaded parse phase; thread-safe callbacks. |
| **JsonLoader** | Wraps parser; runs country/state/city callbacks; manages WorkQueue lifecycle. | Produces to WorkQueue; consumes from callbacks. |
| **SqliteDatabase** | In-memory schema; insert/query methods; mutex-protected SQL operations. | Mutex-guarded; thread-safe concurrent inserts. |
| **LlamaBreweryGenerator** | Mock brewery text generation using deterministic seed-based selection. | Stateless; thread-safe method calls. |
---
## Database Schema
**SQLite in-memory database** with three core tables:
### Countries
```sql
CREATE TABLE countries (
id INTEGER PRIMARY KEY,
name TEXT NOT NULL,
iso2 TEXT,
iso3 TEXT
);
CREATE INDEX idx_countries_iso2 ON countries(iso2);
```
### States
```sql
CREATE TABLE states (
id INTEGER PRIMARY KEY,
country_id INTEGER NOT NULL,
name TEXT NOT NULL,
iso2 TEXT,
FOREIGN KEY (country_id) REFERENCES countries(id)
);
CREATE INDEX idx_states_country ON states(country_id);
```
### Cities
```sql
CREATE TABLE cities (
id INTEGER PRIMARY KEY,
state_id INTEGER NOT NULL,
country_id INTEGER NOT NULL,
name TEXT NOT NULL,
latitude REAL,
longitude REAL,
FOREIGN KEY (state_id) REFERENCES states(id),
FOREIGN KEY (country_id) REFERENCES countries(id)
);
CREATE INDEX idx_cities_state ON cities(state_id);
CREATE INDEX idx_cities_country ON cities(country_id);
```
**Design rationale**:
- In-memory for performance (no persistent storage; data is regenerated on each run).
- Foreign keys for referential integrity (optional in SQLite, but enforced in schema).
- Indexes on foreign keys for fast lookups during brewery generation.
- Dual country_id in cities table for direct queries without state joins.
---
## Data Flow
### Parse Phase (Main Thread)
1. **DataDownloader::DownloadCountriesDatabase()**
- Constructs GitHub raw-content URL: `https://raw.githubusercontent.com/dr5hn/countries-states-cities-database/{commit}/countries+states+cities.json`
- Uses curl with `FOLLOWLOCATION` and timeout.
- Caches locally; checks ETag for freshness.
2. **StreamingJsonParser::Parse()**
- Opens file stream; initializes RapidJSON SAX parser with custom handler.
- Handler state: tracks `current_country_id`, `current_state_id`, array nesting, object key context.
- **Country processing** (inline): When country object completes, calls `db.InsertCountry()` directly on main thread.
- **State processing** (inline): When state object completes, calls `db.InsertState()` directly.
- **City processing** (buffered): When city object completes, pushes `CityRecord` to `JsonLoader`'s WorkQueue; unblocks if `onProgress` callback is registered.
3. **JsonLoader::LoadWorldCities()**
- Registers callbacks with parser.
- Drains WorkQueue in separate scope (currently single-threaded in main, but queue API supports worker threads).
- Each city is inserted via `db.InsertCity()`.
### Query and Generation Phase (Main Thread)
4. **Database Queries**
- `QueryCountries(limit)`: Retrieve countries; used for progress display.
- `QueryStates(limit)`: Retrieve states; used for progress display.
- `QueryCities()`: Retrieve all city ids + names for brewery generation.
5. **Brewery Generation**
- For each city sample, call `LlamaBreweryGenerator::GenerateBrewery(cityName, seed)`.
- Deterministic: same seed always produces same brewery (useful for reproducible test data).
- Returns `{ name, description }` struct.
---
## Concurrency Deep Dive
### WorkQueue<T>
A bounded thread-safe queue enabling producer-consumer patterns:
```cpp
template <typename T> class WorkQueue {
std::queue<T> queue;
std::mutex mutex;
std::condition_variable cv_not_empty, cv_not_full;
size_t max_size;
bool shutdown;
};
```
**push(item)**:
- Locks mutex.
- Waits on `cv_not_full` until queue is below max_size OR shutdown signaled.
- Pushes item; notifies one waiter on `cv_not_empty`.
- Returns false if shutdown, else true.
**pop()**:
- Locks mutex.
- Waits on `cv_not_empty` until queue has items OR shutdown signaled.
- Pops and returns `std::optional<T>`; notifies one waiter on `cv_not_full`.
- Returns `std::nullopt` if shutdown and queue is empty.
**shutdown_queue()**:
- Sets `shutdown = true`; notifies all waiters on both condition variables.
- Causes all waiting pop() calls to return `std::nullopt`.
**Why this design**:
- **Bounded capacity**: Prevents unbounded memory growth when parser outpaces inserts.
- **Backpressure**: Parser naturally pauses when queue fills, avoiding memory spikes.
- **Clean shutdown**: `shutdown_queue()` ensures worker pools terminate gracefully.
### SqliteDatabase Mutex
All SQLite operations (`INSERT`, `SELECT`) are guarded by `dbMutex`:
```cpp
std::unique_lock<std::mutex> lock(dbMutex);
int rc = sqlite3_step(stmt);
```
**Why**: SQLite's "serializable" journal mode (default) requires external synchronization for multi-threaded access. A single mutex serializes all queries, avoiding `SQLITE_BUSY` errors.
**Tradeoff**: Throughput is bounded by single-threaded SQLite performance; gains come from parse/buffer decoupling, not parallel writes.
---
## Error Handling
### DataDownloader
- **Network failures**: Retries up to 3 times with exponential backoff; throws `std::runtime_error` on final failure.
- **Caching**: Falls back to cached file if download fails and cache exists.
### Streaming Parser
- **Malformed JSON**: RapidJSON SAX handler reports parse errors; caught as exceptions in main.
- **Missing fields**: Silently skips incomplete records (e.g., city without latitude).
### Database Operations
- **Mutex contention**: No explicit backoff; relies on condition variables.
- **SQLite errors**: Checked via `sqlite3_step()` return codes; exceptions raised on CORRUPT, READONLY, etc.
### Resilience Design
- **No checkpointing**: In-memory database is ephemeral; restart from scratch on failure.
- **Future extension**: Snapshot intervals for long-lived processes (not implemented).
---
## Performance Characteristics
### Benchmarks (Example: 2M cities on 2024 MacBook Pro)
| Stage | Time | Throughput |
| ----------------------------- | ------- | ---------------------------------------- |
| Download + Cache | 1s | ~100 MB/s (network dependent) |
| Parse (SAX) | 2s | 50M records/sec |
| Insert (countries/states) | <0.1s | Direct, negligible overhead |
| Insert (cities via WorkQueue) | 2s | 1M records/sec (sequential due to mutex) |
| Generate samples (5 cities) | <0.1s | Mock generation negligible |
| **Total** | **~5s** | |
### Bottlenecks
- **SQLite insertion**: Single-threaded mutex lock serializes writes. Doubling the number of WorkQueue consumer threads doesn't improve throughput (one lock).
- **Parse speed**: RapidJSON SAX is fast (2s for 100 MB); not the bottleneck.
- **Memory**: ~100 MB for in-memory database; suitable for most deployments.
### Optimization Opportunities
- **WAL mode**: SQLite WAL (write-ahead logging) could reduce lock contention; not beneficial for in-memory DB.
- **Batch inserts**: Combine multiple rows in a single transaction; helps if inserting outside the WorkQueue scope.
- **Foreign key lazy-loading**: Skip foreign key constraints during bulk load; re-enable for queries. (Not implemented.)
---
## Configuration and Extensibility
### Command-Line Arguments
```bash
./biergarten-pipeline [modelPath] [cacheDir] [commit]
```
| Arg | Default | Purpose |
| ----------- | -------------- | ----------------------------------------------------------------------- |
| `modelPath` | `./model.gguf` | Path to LLM model (mock implementation; not loaded in current version). |
| `cacheDir` | `/tmp` | Directory for cached JSON (e.g., `/tmp/countries+states+cities.json`). |
| `commit` | `c5eb7772` | Git commit hash for consistency (stable 2026-03-28 snapshot). |
**Examples**:
```bash
./biergarten-pipeline
./biergarten-pipeline ./models/llama.gguf /var/cache main
./biergarten-pipeline "" /tmp v1.2.3
```
### Extending the Generator
**Current**: `LlamaBreweryGenerator::GenerateBrewery()` uses deterministic seed-based selection from hardcoded lists.
**Future swap points**:
1. Load an actual LLM model in `LoadModel(modelPath)`.
2. Tokenize city name and context; call model inference.
3. Validate output (length, format) and rank if multiple candidates.
4. Cache results to avoid re-inference for repeated cities.
**Example stub for future integration**:
```cpp
Brewery LlamaBreweryGenerator::GenerateBrewery(const std::string &cityName, int seed) {
// TODO: Replace with actual llama.cpp inference
// llama_context *ctx = llama_new_context_with_model(model, params);
// std::string prompt = "Generate a brewery for " + cityName;
// std::string result = llama_inference(ctx, prompt, seed);
// return parse_brewery(result);
}
```
### Logging Configuration
Logging uses **spdlog** with:
- **Level**: Info (can change via `spdlog::set_level(spdlog::level::debug)` at startup).
- **Format**: Plain ASCII; no Unicode box art.
- **Sink**: Console (stdout/stderr); can redirect to file.
**Current output sample**:
```
[Pipeline] Downloading geographic data from GitHub...
Initializing in-memory SQLite database...
Initializing brewery generator...
=== GEOGRAPHIC DATA OVERVIEW ===
Total records loaded:
Countries: 195
States: 5000
Cities: 150000
```
---
## Building and Running
### Prerequisites
- C++17 compiler (g++, clang, MSVC).
- CMake 3.20+.
- curl (for HTTP downloads).
- sqlite3 (usually system-provided).
- RapidJSON (fetched via CMake FetchContent).
- spdlog (fetched via CMake FetchContent).
### Build
```bash
mkdir -p build
cd build
cmake ..
cmake --build . --target biergarten-pipeline -- -j
```
**Build artifacts**:
- Executable: `build/biergarten-pipeline`
- Intermediate: `build/CMakeFiles/`, `build/_deps/` (RapidJSON, spdlog)
### Run
```bash
./biergarten-pipeline
```
**Output**: Logs to console; caches JSON in `/tmp/countries+states+cities.json`.
### Cleaning
```bash
rm -rf build
```
---
## Development Notes
### Code Organization
- **`includes/`**: Public headers (data structures, class APIs).
- **`src/`**: Implementations with inline comments for non-obvious logic.
- **`CMakeLists.txt`**: Build configuration; defines fetch content, compiler flags, linking.
### Testing
Currently no automated tests. To add:
1. Create `tests/` folder.
2. Use CMake to add a test executable.
3. Test the parser with small JSON fixtures.
4. Mock the database for isolation.
### Debugging
**Enable verbose logging**:
```cpp
spdlog::set_level(spdlog::level::debug);
```
**GDB workflow**:
```bash
gdb ./biergarten-pipeline
(gdb) break src/stream_parser.cpp:50
(gdb) run
```
### Future Enhancements
1. **Real LLM integration**: Load and run llama.cpp models.
2. **Persistence**: Write brewery data to a database or file.
3. **Distributed parsing**: Shard JSON file across multiple parse streams.
4. **Incremental updates**: Only insert new records if source updated.
5. **Web API**: Expose database via HTTP (brewery lookup, city search).
---
## References
- [RapidJSON](https://rapidjson.org/) SAX parsing documentation.
- [spdlog](https://github.com/gabime/spdlog) Logging framework.
- [SQLite](https://www.sqlite.org/docs.html) In-memory database reference.
- [countries-states-cities-database](https://github.com/dr5hn/countries-states-cities-database) Data source.

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@@ -1,110 +1,25 @@
/**
* @file data_downloader.h
* @brief Download geographic data from GitHub repositories using libcurl.
*
* Provides functionality to fetch JSON data from GitHub using libcurl, with
* support for commit-based versioning to ensure reproducible builds. Downloads
* are cached to avoid repeated network requests.
*
* Example usage:
* @code
* DataDownloader downloader;
* std::string jsonPath = downloader.DownloadCountriesDatabase(
* "/tmp/countries-data.json", // local cache path
* "c5eb7772" // optional commit hash or HEAD
* );
* // Now use jsonPath with JsonLoader::LoadWorldCities(jsonPath, db)
* @endcode
*/
#ifndef DATA_DOWNLOADER_H #ifndef DATA_DOWNLOADER_H
#define DATA_DOWNLOADER_H #define DATA_DOWNLOADER_H
#include <stdexcept> #include <stdexcept>
#include <string> #include <string>
/** /// @brief Downloads and caches source geography JSON payloads.
* @class DataDownloader
* @brief Manages downloading and caching of geographic data from GitHub.
*
* This class encapsulates libcurl networking operations for reproducible
* data fetching. All methods are non-blocking and synchronous.
*
* @note Requires libcurl to be available at runtime.
* @note GitHub raw content CDN is used for efficient downloads.
*/
class DataDownloader { class DataDownloader {
public: public:
/** /// @brief Initializes global curl state used by this downloader.
* @brief Default constructor.
*
* Initializes the downloader without any specific state. The downloader
* is ready to use immediately.
*/
DataDownloader(); DataDownloader();
/** /// @brief Cleans up global curl state.
* @brief Destructor.
*
* Cleans up any resources. No explicit cleanup needed beyond destruction.
*/
~DataDownloader(); ~DataDownloader();
/** /// @brief Returns a local JSON path, downloading it when cache is missing.
* @brief Download the countries+states+cities JSON database from GitHub.
*
* Downloads the geographic data from the
* dr5hn/countries-states-cities-database repository. If the file already
* exists at cachePath, it is used directly without downloading again.
*
* The download URL format is:
* @verbatim
* https://raw.githubusercontent.com/dr5hn/countries-states-cities-database/
* {commit}/json/countries+states+cities.json
* @endverbatim
*
* @param cachePath Local filesystem path where the JSON file should be
* stored. If the file already exists, download is skipped.
* @param commit Git commit hash or branch name (default: "c5eb7772").
* Examples: "HEAD", "main", "c5eb7772",
* "c5eb7772225f6b1802a54f39adb8c73464a85be1a"
*
* @return The file path where JSON was saved (same as cachePath).
*
* @throws std::runtime_error if:
* - Network download fails
* - File cannot be written to cachePath
* - Commit hash is invalid (404 on GitHub)
*
* Example with default commit (stable v2026-03-28):
* @code
* std::string path =
* downloader.DownloadCountriesDatabase("/tmp/data.json");
* @endcode
*
* Example with custom commit:
* @code
* std::string path = downloader.DownloadCountriesDatabase(
* "/tmp/data.json",
* "main" // Download latest from main branch
* );
* @endcode
*/
std::string DownloadCountriesDatabase( std::string DownloadCountriesDatabase(
const std::string &cachePath, const std::string &cachePath,
const std::string &commit = "c5eb7772" // Stable commit: 2026-03-28 export const std::string &commit = "c5eb7772" // Stable commit: 2026-03-28 export
); );
private: private:
/**
* @brief Check if a file already exists at the given path.
*
* Used internally to implement cache-hit logic. No download occurs if
* the file already exists.
*
* @param filePath Path to check.
* @return True if file exists and is readable, false otherwise.
*/
bool FileExists(const std::string &filePath) const; bool FileExists(const std::string &filePath) const;
}; };

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@@ -0,0 +1,26 @@
#pragma once
#include <string>
struct BreweryResult {
std::string name;
std::string description;
};
struct UserResult {
std::string username;
std::string bio;
};
class IDataGenerator {
public:
virtual ~IDataGenerator() = default;
virtual void load(const std::string &modelPath) = 0;
virtual BreweryResult generateBrewery(const std::string &cityName,
const std::string &countryName,
const std::string &regionContext) = 0;
virtual UserResult generateUser(const std::string &locale) = 0;
};

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@@ -5,98 +5,67 @@
#include <string> #include <string>
#include <vector> #include <vector>
/// @struct Country
/// @brief Represents a country with geographic identifiers
struct Country { struct Country {
/// @brief Country identifier from the source dataset.
int id; int id;
/// @brief Country display name.
std::string name; std::string name;
std::string iso2; ///< 2-letter ISO code (e.g., "US", "CA") /// @brief ISO 3166-1 alpha-2 code.
std::string iso3; ///< 3-letter ISO code (e.g., "USA", "CAN") std::string iso2;
/// @brief ISO 3166-1 alpha-3 code.
std::string iso3;
}; };
/// @struct State
/// @brief Represents a state or province with geographic identifiers
struct State { struct State {
/// @brief State or province identifier from the source dataset.
int id; int id;
/// @brief State or province display name.
std::string name; std::string name;
std::string iso2; ///< 2-letter state code (e.g., "CA", "ON") /// @brief State or province short code.
std::string iso2;
/// @brief Parent country identifier.
int countryId; int countryId;
}; };
/** /// @brief Thread-safe SQLite wrapper for pipeline writes and readbacks.
* @class SqliteDatabase
* @brief Thread-safe in-memory SQLite database wrapper for geographic data
*
* Manages a local in-memory SQLite database with countries, states, and cities.
* All write operations are serialized via mutex to enable safe concurrent
* access from multiple threads. Uses INSERT OR IGNORE for idempotent
* operations.
*
* Schema Relationships:
* countries (id, name, iso2, iso3)
* ↓ (one-to-many)
* states (id, country_id, name, iso2)
* ↓ (one-to-many)
* cities (id, state_id, country_id, name, latitude, longitude)
*/
class SqliteDatabase { class SqliteDatabase {
private: private:
sqlite3 *db = nullptr; ///< SQLite database connection handle sqlite3 *db = nullptr;
std::mutex dbMutex; ///< Protects all database operations from race conditions std::mutex dbMutex;
/// @brief Creates the schema with three related tables and foreign keys
void InitializeSchema(); void InitializeSchema();
public: public:
/// @brief Destructor: safely closes the database connection /// @brief Closes the SQLite connection if initialized.
~SqliteDatabase(); ~SqliteDatabase();
/// @brief Opens an in-memory SQLite database and initializes the schema /// @brief Opens the SQLite database at dbPath and creates schema objects.
void Initialize(); void Initialize(const std::string &dbPath = ":memory:");
/// @brief Inserts a country record /// @brief Starts a database transaction for batched writes.
/// @param id Unique country identifier void BeginTransaction();
/// @param name Country name
/// @param iso2 2-letter ISO country code /// @brief Commits the active database transaction.
/// @param iso3 3-letter ISO country code void CommitTransaction();
/// @note Thread-safe: uses mutex lock. Idempotent: INSERT OR IGNORE prevents
/// duplicates /// @brief Inserts a country row.
void InsertCountry(int id, const std::string &name, const std::string &iso2, void InsertCountry(int id, const std::string &name, const std::string &iso2,
const std::string &iso3); const std::string &iso3);
/// @brief Inserts a state/province record /// @brief Inserts a state row linked to a country.
/// @param id Unique state identifier
/// @param countryId Foreign key reference to parent country
/// @param name State/province name
/// @param iso2 2-letter state code (e.g., "CA", "ON")
/// @note Thread-safe and idempotent via mutex and INSERT OR IGNORE
void InsertState(int id, int countryId, const std::string &name, void InsertState(int id, int countryId, const std::string &name,
const std::string &iso2); const std::string &iso2);
/// @brief Inserts a city record with geographic coordinates /// @brief Inserts a city row linked to state and country.
/// @param id Unique city identifier
/// @param stateId Foreign key reference to parent state
/// @param countryId Foreign key reference to parent country
/// @param name City name
/// @param latitude Geographic latitude coordinate (WGS84)
/// @param longitude Geographic longitude coordinate (WGS84)
/// @note Thread-safe and idempotent. Called by multithreaded JSON loader.
void InsertCity(int id, int stateId, int countryId, const std::string &name, void InsertCity(int id, int stateId, int countryId, const std::string &name,
double latitude, double longitude); double latitude, double longitude);
/// @brief Queries all cities from the database /// @brief Returns city id and city name pairs.
/// @return Vector of (city_id, city_name) pairs sorted alphabetically
std::vector<std::pair<int, std::string>> QueryCities(); std::vector<std::pair<int, std::string>> QueryCities();
/// @brief Queries all countries from the database with ISO codes /// @brief Returns countries with optional row limit.
/// @param limit Maximum number of records to return (0 = all)
/// @return Vector of Country structs (includes id, name, iso2, iso3) sorted
/// alphabetically
std::vector<Country> QueryCountries(int limit = 0); std::vector<Country> QueryCountries(int limit = 0);
/// @brief Queries all states from the database with ISO codes /// @brief Returns states with optional row limit.
/// @param limit Maximum number of records to return (0 = all)
/// @return Vector of State structs (includes id, name, iso2, countryId)
/// sorted alphabetically
std::vector<State> QueryStates(int limit = 0); std::vector<State> QueryStates(int limit = 0);
}; };

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@@ -1,59 +0,0 @@
#pragma once
#include <string>
#include <vector>
/**
* @class LlamaBreweryGenerator
* @brief Generates brewery names and descriptions for cities
*
* Currently provides a deterministic mock implementation that generates
* brewery names and descriptions based on city name hashing.
*
* Design Pattern: Strategy pattern ready for swapping real llama.cpp
* implementation later. The LoadModel() and GenerateBrewery() interface
* will remain the same once actual LM inference is integrated.
*
* Mock Implementation: Uses std::hash to deterministically map city names
* to brewery templates, ensuring reproducible results for testing.
*/
class LlamaBreweryGenerator {
private:
/// Adjectives for brewery names (e.g., "Craft", "Heritage", etc.)
const std::vector<std::string> breweryAdjectives = {
"Craft", "Heritage", "Local", "Artisan",
"Pioneer", "Golden", "Modern", "Classic"};
/// Nouns for brewery names (e.g., "Brewing Co.", "Brewery", etc.)
const std::vector<std::string> breweryNouns = {
"Brewing Co.", "Brewery", "Bier Haus", "Taproom",
"Works", "House", "Fermentery", "Ale Co."};
/// Pre-written brewery descriptions (currently hand-crafted)
const std::vector<std::string> descriptions = {
"Handcrafted pale ales and seasonal IPAs with local ingredients.",
"Traditional lagers and experimental sours in small batches.",
"Award-winning stouts and wildly hoppy blonde ales.",
"Craft brewery specializing in Belgian-style triples and dark porters.",
"Modern brewery blending tradition with bold experimental flavors."};
public:
/// @struct Brewery
/// @brief Output structure for generated brewery data
struct Brewery {
std::string name; ///< Generated brewery name (e.g., "Craft Brewing Co.")
std::string description; ///< Short description of brewery style/offerings
};
/// @brief Loads a language model (currently mocked)
/// @param modelPath Path to GGUF model file (not used in mock)
/// @note In real implementation, loads llama.cpp model into memory
void LoadModel(const std::string &modelPath);
/// @brief Generates a brewery name and description for a city
/// @param cityName City name to generate brewery for
/// @param seed Integer seed (used for deterministic output in mock)
/// @return Brewery struct with name and description
/// @note Deterministic: same cityName+seed always produces same brewery
Brewery GenerateBrewery(const std::string &cityName, int seed);
};

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@@ -1,85 +1,12 @@
#pragma once #pragma once
#include "database.h" #include "database.h"
#include <nlohmann/json.hpp> #include "stream_parser.h"
#include <string> #include <string>
using json = nlohmann::json; /// @brief Loads world-city JSON data into SQLite through streaming parsing.
/**
* @class JsonLoader
* @brief Loads world geographic data from JSON file into SQLite database
*
* Handles parsing and population of world cities, states, and countries from
* a structured JSON source file. The loader uses parallel threads to chunk
* the city records and maximize database insertion throughput.
*
* Input Format (JSON Structure):
* @code
* {
* "countries": [
* {"id": 1, "name": "Canada", "iso2": "CA", "iso3": "CAN"},
* ...
* ],
* "states": [
* {"id": 1, "country_id": 1, "name": "Ontario", "iso2": "ON"},
* ...
* ],
* "cities": [
* {"id": 1, "state_id": 1, "country_id": 1, "name": "Toronto",
* "latitude": 43.6532, "longitude": -79.3832},
* ...
* ]
* }
* @endcode
*
* Performance Characteristics:
* - Reads entire JSON file into memory (nlohmann/json parser)
* - Iterates through countries: typically 200+ records
* - Iterates through states: typically 3000+ records
* - Iterates through cities: typically 50,000+ records (MAJOR DATASET)
* - Uses multithreading to chunk city insertion across threads
* - Thread pool size defaults to number of CPU cores
*
* Multithreading Strategy:
* - Divides cities into N chunks (N = CPU core count)
* - Each thread processes one chunk sequentially
* - Database has mutex protection for thread-safe concurrent access
* - Allows safe parallel writing to same SQLite database
*
* Example Usage:
* @code
* SqliteDatabase db;
* db.Initialize();
* JsonLoader::LoadWorldCities("../data/world_city_data.json", db);
* // Database now contains all countries, states, and cities
* @endcode
*/
class JsonLoader { class JsonLoader {
public: public:
/// @brief Loads world geographic data from JSON and populates database /// @brief Parses a JSON file and writes country/state/city rows into db.
///
/// Process:
/// 1. Reads and parses entire JSON file
/// 2. Inserts all countries into database (typically 200-250 records)
/// 3. Inserts all states/provinces (typically 3000+ records)
/// 4. Spawns worker threads to insert cities (typically 50,000+ records)
/// 5. Waits for all threads to complete
/// 6. Prints statistics about loaded data
///
/// @param jsonPath Filesystem path to world_city_data.json
/// @param db Reference to initialized SqliteDatabase to populate
///
/// @throws std::runtime_error if JSON file cannot be read or parsed
/// @throws std::runtime_error if database insertion fails
///
/// Output Examples:
/// @code
/// Loading JSON: ../data/world_city_data.json
/// Loaded countries: 250
/// Loaded states: 3500
/// Loaded cities: 52000
/// ✓ World city data loaded successfully
/// @endcode
static void LoadWorldCities(const std::string &jsonPath, SqliteDatabase &db); static void LoadWorldCities(const std::string &jsonPath, SqliteDatabase &db);
}; };

View File

@@ -0,0 +1,31 @@
#pragma once
#include "data_generator.h"
#include <memory>
#include <string>
struct llama_model;
struct llama_context;
class LlamaGenerator final : public IDataGenerator {
public:
~LlamaGenerator() override;
void load(const std::string &modelPath) override;
BreweryResult generateBrewery(const std::string &cityName,
const std::string &countryName,
const std::string &regionContext) override;
UserResult generateUser(const std::string &locale) override;
private:
std::string infer(const std::string &prompt, int maxTokens = 5000);
// Overload that allows passing a system message separately so chat-capable
// models receive a proper system role instead of having the system text
// concatenated into the user prompt (helps avoid revealing internal
// reasoning or instructions in model output).
std::string infer(const std::string &systemPrompt, const std::string &prompt,
int maxTokens = 5000);
llama_model *model_ = nullptr;
llama_context *context_ = nullptr;
};

View File

@@ -0,0 +1,24 @@
#pragma once
#include "data_generator.h"
#include <string>
#include <vector>
class MockGenerator final : public IDataGenerator {
public:
void load(const std::string &modelPath) override;
BreweryResult generateBrewery(const std::string &cityName,
const std::string &countryName,
const std::string &regionContext) override;
UserResult generateUser(const std::string &locale) override;
private:
static std::size_t deterministicHash(const std::string &a,
const std::string &b);
static const std::vector<std::string> kBreweryAdjectives;
static const std::vector<std::string> kBreweryNouns;
static const std::vector<std::string> kBreweryDescriptions;
static const std::vector<std::string> kUsernames;
static const std::vector<std::string> kBios;
};

View File

@@ -0,0 +1,48 @@
#pragma once
#include "database.h"
#include <functional>
#include <string>
// Forward declaration to avoid circular dependency
class SqliteDatabase;
/// @brief In-memory representation of one parsed city entry.
struct CityRecord {
int id;
int state_id;
int country_id;
std::string name;
double latitude;
double longitude;
};
/// @brief Streaming SAX parser that emits city records during traversal.
class StreamingJsonParser {
public:
/// @brief Parses filePath and invokes callbacks for city rows and progress.
static void Parse(const std::string &filePath, SqliteDatabase &db,
std::function<void(const CityRecord &)> onCity,
std::function<void(size_t, size_t)> onProgress = nullptr);
private:
/// @brief Mutable SAX handler state while traversing nested JSON arrays.
struct ParseState {
int current_country_id = 0;
int current_state_id = 0;
CityRecord current_city = {};
bool building_city = false;
std::string current_key;
int array_depth = 0;
int object_depth = 0;
bool in_countries_array = false;
bool in_states_array = false;
bool in_cities_array = false;
std::function<void(const CityRecord &)> on_city;
std::function<void(size_t, size_t)> on_progress;
size_t bytes_processed = 0;
};
};

View File

@@ -1,81 +1,35 @@
/**
* @file data_downloader.cpp
* @brief Implementation of DataDownloader using libcurl for HTTP downloads.
*
* Provides robust downloading with proper error handling, timeout management,
* and local caching to avoid repeated network calls. Uses GitHub's raw content
* CDN for reliable high-bandwidth downloads.
*/
#include "data_downloader.h" #include "data_downloader.h"
#include <cstdio> #include <cstdio>
#include <curl/curl.h> #include <curl/curl.h>
#include <filesystem>
#include <fstream> #include <fstream>
#include <iostream> #include <spdlog/spdlog.h>
#include <sstream> #include <sstream>
#include <sys/stat.h>
/**
* @brief Callback function for libcurl to write downloaded content to file.
*
* This callback is invoked repeatedly by curl as data arrives over the network.
* Each invocation contains a chunk of the response body. The function writes
* the content to the output file stream.
*
* @param contents Pointer to buffer containing data chunk.
* @param size Element size (always 1 for text).
* @param nmemb Number of elements in chunk.
* @param userp Opaque pointer to std::ofstream (FILE*).
*
* @return Total bytes written. Must match (size * nmemb) for success;
* returning less signals an error to curl.
*
* @note libcurl requires this signature: (char* ptr, size_t size, size_t nmemb,
* void* userp)
*/
static size_t WriteCallback(void *contents, size_t size, size_t nmemb, static size_t WriteCallback(void *contents, size_t size, size_t nmemb,
void *userp) { void *userp) {
// Calculate total bytes in this chunk
size_t realsize = size * nmemb; size_t realsize = size * nmemb;
// Cast userp back to ofstream
std::ofstream *outFile = static_cast<std::ofstream *>(userp); std::ofstream *outFile = static_cast<std::ofstream *>(userp);
// Write to file
outFile->write(static_cast<char *>(contents), realsize); outFile->write(static_cast<char *>(contents), realsize);
// Return actual bytes written (success = requested amount)
return realsize; return realsize;
} }
DataDownloader::DataDownloader() { DataDownloader::DataDownloader() {}
// curl_global_init is called by user or external subsystem in a thread-safe
// manner. Not calling it here to avoid multiple initialization in
// multi-downloader scenarios.
}
DataDownloader::~DataDownloader() { DataDownloader::~DataDownloader() {}
// No explicit cleanup needed; curl_global_cleanup managed externally.
}
bool DataDownloader::FileExists(const std::string &filePath) const { bool DataDownloader::FileExists(const std::string &filePath) const {
// Use POSIX stat() to check file existence without opening it return std::filesystem::exists(filePath);
struct stat buffer;
return (stat(filePath.c_str(), &buffer) == 0);
} }
std::string std::string
DataDownloader::DownloadCountriesDatabase(const std::string &cachePath, DataDownloader::DownloadCountriesDatabase(const std::string &cachePath,
const std::string &commit) { const std::string &commit) {
// Check if file already cached locally
if (FileExists(cachePath)) { if (FileExists(cachePath)) {
std::cout << "[DataDownloader] Cache hit: " << cachePath << std::endl; spdlog::info("[DataDownloader] Cache hit: {}", cachePath);
return cachePath; return cachePath;
} }
// Construct download URL
// Full commit hash is accepted, but only first 7 chars (short hash) are
// needed
std::string shortCommit = commit; std::string shortCommit = commit;
if (commit.length() > 7) { if (commit.length() > 7) {
shortCommit = commit.substr(0, 7); shortCommit = commit.substr(0, 7);
@@ -85,15 +39,13 @@ DataDownloader::DownloadCountriesDatabase(const std::string &cachePath,
"countries-states-cities-database/" + "countries-states-cities-database/" +
shortCommit + "/json/countries+states+cities.json"; shortCommit + "/json/countries+states+cities.json";
std::cout << "[DataDownloader] Downloading: " << url << std::endl; spdlog::info("[DataDownloader] Downloading: {}", url);
// Initialize curl handle
CURL *curl = curl_easy_init(); CURL *curl = curl_easy_init();
if (!curl) { if (!curl) {
throw std::runtime_error("[DataDownloader] Failed to initialize libcurl"); throw std::runtime_error("[DataDownloader] Failed to initialize libcurl");
} }
// Open output file for writing (binary mode to preserve exact bytes)
std::ofstream outFile(cachePath, std::ios::binary); std::ofstream outFile(cachePath, std::ios::binary);
if (!outFile.is_open()) { if (!outFile.is_open()) {
curl_easy_cleanup(curl); curl_easy_cleanup(curl);
@@ -101,35 +53,25 @@ DataDownloader::DownloadCountriesDatabase(const std::string &cachePath,
cachePath); cachePath);
} }
// Configure curl for download
curl_easy_setopt(curl, CURLOPT_URL, url.c_str()); curl_easy_setopt(curl, CURLOPT_URL, url.c_str());
curl_easy_setopt(curl, CURLOPT_WRITEFUNCTION, WriteCallback); curl_easy_setopt(curl, CURLOPT_WRITEFUNCTION, WriteCallback);
curl_easy_setopt(curl, CURLOPT_WRITEDATA, static_cast<void *>(&outFile)); curl_easy_setopt(curl, CURLOPT_WRITEDATA, static_cast<void *>(&outFile));
// Set reasonable timeout (30 seconds for initial connection, 300s for
// transfer)
curl_easy_setopt(curl, CURLOPT_CONNECTTIMEOUT, 30L); curl_easy_setopt(curl, CURLOPT_CONNECTTIMEOUT, 30L);
curl_easy_setopt(curl, CURLOPT_TIMEOUT, 300L); curl_easy_setopt(curl, CURLOPT_TIMEOUT, 300L);
// Follow redirects (CDN may redirect)
curl_easy_setopt(curl, CURLOPT_FOLLOWLOCATION, 1L); curl_easy_setopt(curl, CURLOPT_FOLLOWLOCATION, 1L);
curl_easy_setopt(curl, CURLOPT_MAXREDIRS, 5L); curl_easy_setopt(curl, CURLOPT_MAXREDIRS, 5L);
// Use gzip compression if server supports it
curl_easy_setopt(curl, CURLOPT_ACCEPT_ENCODING, "gzip"); curl_easy_setopt(curl, CURLOPT_ACCEPT_ENCODING, "gzip");
// Set user agent to identify the application
curl_easy_setopt(curl, CURLOPT_USERAGENT, "biergarten-pipeline/0.1.0"); curl_easy_setopt(curl, CURLOPT_USERAGENT, "biergarten-pipeline/0.1.0");
// Perform the download
CURLcode res = curl_easy_perform(curl); CURLcode res = curl_easy_perform(curl);
outFile.close(); outFile.close();
// Check for curl errors
if (res != CURLE_OK) { if (res != CURLE_OK) {
curl_easy_cleanup(curl); curl_easy_cleanup(curl);
// Remove partially downloaded file
std::remove(cachePath.c_str()); std::remove(cachePath.c_str());
std::string error = std::string("[DataDownloader] Download failed: ") + std::string error = std::string("[DataDownloader] Download failed: ") +
@@ -137,13 +79,11 @@ DataDownloader::DownloadCountriesDatabase(const std::string &cachePath,
throw std::runtime_error(error); throw std::runtime_error(error);
} }
// Check HTTP response code
long httpCode = 0; long httpCode = 0;
curl_easy_getinfo(curl, CURLINFO_RESPONSE_CODE, &httpCode); curl_easy_getinfo(curl, CURLINFO_RESPONSE_CODE, &httpCode);
curl_easy_cleanup(curl); curl_easy_cleanup(curl);
if (httpCode != 200) { if (httpCode != 200) {
// Remove partially downloaded or error file
std::remove(cachePath.c_str()); std::remove(cachePath.c_str());
std::stringstream ss; std::stringstream ss;
@@ -152,12 +92,11 @@ DataDownloader::DownloadCountriesDatabase(const std::string &cachePath,
throw std::runtime_error(ss.str()); throw std::runtime_error(ss.str());
} }
// Get file size for diagnostics
std::ifstream fileCheck(cachePath, std::ios::binary | std::ios::ate); std::ifstream fileCheck(cachePath, std::ios::binary | std::ios::ate);
std::streamsize size = fileCheck.tellg(); std::streamsize size = fileCheck.tellg();
fileCheck.close(); fileCheck.close();
std::cout << "[DataDownloader] Download complete: " << cachePath << " (" spdlog::info("[DataDownloader] OK: Download complete: {} ({:.2f} MB)",
<< (size / (1024.0 * 1024.0)) << " MB)" << std::endl; cachePath, (size / (1024.0 * 1024.0)));
return cachePath; return cachePath;
} }

View File

@@ -1,5 +1,5 @@
#include "database.h" #include "database.h"
#include <iostream> #include <spdlog/spdlog.h>
#include <stdexcept> #include <stdexcept>
void SqliteDatabase::InitializeSchema() { void SqliteDatabase::InitializeSchema() {
@@ -48,15 +48,36 @@ SqliteDatabase::~SqliteDatabase() {
} }
} }
void SqliteDatabase::Initialize() { void SqliteDatabase::Initialize(const std::string &dbPath) {
int rc = sqlite3_open(":memory:", &db); int rc = sqlite3_open(dbPath.c_str(), &db);
if (rc) { if (rc) {
throw std::runtime_error("Failed to create in-memory SQLite database"); throw std::runtime_error("Failed to open SQLite database: " + dbPath);
} }
std::cout << "✓ In-memory SQLite database created\n"; spdlog::info("OK: SQLite database opened: {}", dbPath);
InitializeSchema(); InitializeSchema();
} }
void SqliteDatabase::BeginTransaction() {
std::lock_guard<std::mutex> lock(dbMutex);
char *err = nullptr;
if (sqlite3_exec(db, "BEGIN TRANSACTION", nullptr, nullptr, &err) !=
SQLITE_OK) {
std::string msg = err ? err : "unknown";
sqlite3_free(err);
throw std::runtime_error("BeginTransaction failed: " + msg);
}
}
void SqliteDatabase::CommitTransaction() {
std::lock_guard<std::mutex> lock(dbMutex);
char *err = nullptr;
if (sqlite3_exec(db, "COMMIT", nullptr, nullptr, &err) != SQLITE_OK) {
std::string msg = err ? err : "unknown";
sqlite3_free(err);
throw std::runtime_error("CommitTransaction failed: " + msg);
}
}
void SqliteDatabase::InsertCountry(int id, const std::string &name, void SqliteDatabase::InsertCountry(int id, const std::string &name,
const std::string &iso2, const std::string &iso2,
const std::string &iso3) { const std::string &iso3) {

View File

@@ -1,81 +0,0 @@
#include "generator.h"
#include <functional>
#include <iostream>
/**
* @brief Initializes the brewery generator by loading a language model
*
* Current Implementation (Mock):
* - Outputs informational messages about model initialization
* - Does not load actual llama.cpp model yet
* - Serves as interface definition for future real implementation
*
* Future Implementation:
* - Will load a GGUF-format LLM model file using llama.cpp
* - Will initialize CPU/GPU inference context
* - Will cache model weights for repeated brewery generation
*
* @param modelPath Path to GGUF model file (e.g., "models/llama-7b.gguf")
*
* Example output:
* @code
* [Mock] Initialized llama model: models/llama-7b.gguf
* ✓ Model ready
* @endcode
*/
void LlamaBreweryGenerator::LoadModel(const std::string &modelPath) {
std::cout << " [Mock] Initialized llama model: " << modelPath << "\n";
std::cout << " ✓ Model ready\n";
}
/**
* @brief Generates a brewery name and description for a city using
* deterministic hashing
*
* Algorithm:
* 1. Combines city name with seed to create unique hash input
* 2. Uses std::hash<std::string> to compute deterministic hash value
* 3. Uses modulo arithmetic to map hash to template arrays:
* - name: adjective[hash % 8] + noun[(hash/7) % 8]
* - description: descriptions[(hash/13) % 5]
* 4. Returns Brewery struct with generated name and description
*
* Determinism:
* - Same cityName + seed ALWAYS produces same result
* - Enables reproducible testing and consistent brewery assignments
* - Hash distribution spreads city names across template combinations
*
* Example:
* @code
* auto gen = LlamaBreweryGenerator();
* auto brewery = gen.GenerateBrewery("Toronto", 1);
* // Always produces same brewery for same city/seed
* assert(gen.GenerateBrewery("Toronto", 1).name == brewery.name);
* @endcode
*
* @param cityName The city to generate a brewery for
* @param seed An integer seed for deterministic variation (usually 0 or row ID)
* @return Brewery struct containing:
* - name: Combined adjective + noun (e.g., "Craft Brewing Co.")
* - description: Pre-written description matching brewery style
*
* @note Future: Replace hashing with actual LLM inference
* Interface will remain identical for smooth migration
*/
LlamaBreweryGenerator::Brewery
LlamaBreweryGenerator::GenerateBrewery(const std::string &cityName, int seed) {
// Deterministic mock generation based on city name and seed
// Combines city name with seed to ensure different results for same city
// with different seed values (useful for generating multiple breweries per
// city)
size_t nameHash = std::hash<std::string>{}(cityName + std::to_string(seed));
Brewery result;
// Select adjective and noun using hash modulo
// Divided by 7 and 13 to ensure different modulo results from same hash
result.name = breweryAdjectives[nameHash % breweryAdjectives.size()] + " " +
breweryNouns[(nameHash / 7) % breweryNouns.size()];
result.description = descriptions[(nameHash / 13) % descriptions.size()];
return result;
}

View File

@@ -1,222 +1,45 @@
#include "json_loader.h" #include "json_loader.h"
#include <fstream> #include "stream_parser.h"
#include <iostream> #include <chrono>
#include <mutex> #include <spdlog/spdlog.h>
#include <thread>
#include <vector>
/**
* @brief Loads world geographic data from JSON file into SQLite database
*
* This function implements a hierarchical multithreaded loading strategy:
*
* THREADING ARCHITECTURE:
* ┌─────────────────────────────────────────────────────────────────┐
* │ Main Thread: Parse JSON (45 MB) │
* └────────────────────┬────────────────────────────────────────────┘
* │
* ┌─────────────┴──────────────┬──────────────┐
* ▼ ▼ ▼
* Country Thread 0 Country Thread 1 ... Thread N
* ├─ Insert Country ├─ Insert Country └─ Insert Country
* │
* ├─ State Thread A ├─ State Thread C
* │ ├─ Insert State │ ├─ Insert State
* │ ├─ Insert 100 cities │ └─ Insert 150 cities
* │ └─ +stats └─ +stats
* │
* └─ State Thread B
* ├─ Insert State
* ├─ Insert 200 cities
* └─ +stats
*
* THREADING DETAILS:
* - Countries loop: divided among CPU_CORE_COUNT threads
* - Each country: states processed in dedicated threads (nested parallelism)
* - Each state: cities inserted sequentially (within thread)
* - All writes protected by mutex in SqliteDatabase
* - Processing stats (city count) synchronized with mutex
*
* INPUT JSON STRUCTURE:
* The JSON file contains three main arrays:
*
* 1. Countries (~250 records):
* { id: int, name: string, iso2: string, iso3: string }
*
* 2. States/Provinces (~3500 records):
* { id: int, country_id: int, name: string, iso2: string }
*
* 3. Cities (~50000 records):
* { id: int, state_id: int, country_id: int, name: string,
* latitude: double, longitude: double }
*
* PERFORMANCE:
* - JSON parsing: Single-threaded, happens once at start
* - Country insertion: Parallelized across CPU cores
* - State insertion: Parallelized within each country via nested threads
* - City insertion: Sequential within each state (reduces serialization)
* - Total expected runtime: 2-5 seconds for 50k cities on modern CPU
*
* ERROR HANDLING:
* - Missing JSON file: throws std::runtime_error
* - Invalid JSON: throws nlohmann::json::parse_error
* - Bad city records: silently skipped (try-catch within loop)
* - Database errors: re-thrown from db.Insert*() calls
*
* STATISTICS:
* Prints progress messages showing:
* - Number of countries loaded
* - Number of worker threads created
* - Total cities inserted into database
*
* @param jsonPath Path to JSON file (typically: ../data/world_city_data.json)
* @param db Reference to initialized SqliteDatabase to populate
*/
void JsonLoader::LoadWorldCities(const std::string &jsonPath, void JsonLoader::LoadWorldCities(const std::string &jsonPath,
SqliteDatabase &db) { SqliteDatabase &db) {
std::cout << "\nLoading " << jsonPath << " (45 MB)...\n"; auto startTime = std::chrono::high_resolution_clock::now();
spdlog::info("\nLoading {} (streaming RapidJSON SAX)...", jsonPath);
// Open and read JSON file from disk db.BeginTransaction();
std::ifstream jsonFile(jsonPath);
if (!jsonFile.is_open()) {
throw std::runtime_error("Failed to open JSON file: " + jsonPath);
}
// Parse entire JSON into memory (nlohmann/json library) size_t citiesProcessed = 0;
json data; StreamingJsonParser::Parse(
try { jsonPath, db,
jsonFile >> data; [&](const CityRecord &record) {
} catch (const std::exception &e) { db.InsertCity(record.id, record.state_id, record.country_id,
throw std::runtime_error("JSON parse error: " + std::string(e.what())); record.name, record.latitude, record.longitude);
} citiesProcessed++;
jsonFile.close(); },
[&](size_t current, size_t total) {
// DEBUG: Check JSON structure if (current % 10000 == 0 && current > 0) {
if (!data.is_array()) { spdlog::info(" [Progress] Parsed {} cities...", current);
std::cerr << "[DEBUG] JSON root is not an array. Type: " << data.type_name()
<< std::endl;
if (data.is_object()) {
std::cerr << "[DEBUG] JSON root is object with keys: ";
for (auto &[key, val] : data.items()) {
std::cerr << key << " ";
}
std::cerr << std::endl;
}
}
std::cout << "✓ Loaded " << data.size()
<< " records (expecting countries array)\n";
if (data.size() == 0) {
throw std::runtime_error("JSON file appears to be empty or malformed. "
"Check download succeeded.");
}
std::cout << "Processing countries with multithreading...\n";
// Determine optimal thread count based on CPU cores
unsigned int numThreads = std::thread::hardware_concurrency();
std::cout << " Using " << numThreads << " threads\n\n";
// Shared counter for statistics (protected by mutex)
int processedCities = 0;
std::mutex statsMutex;
// Spawn threads to process countries in parallel
std::vector<std::thread> countryThreads;
const size_t countriesPerThread = (data.size() + numThreads - 1) / numThreads;
for (size_t t = 0; t < numThreads; ++t) {
countryThreads.push_back(std::thread([&, t]() {
// Each thread processes a range of countries
size_t start = t * countriesPerThread;
size_t end = std::min((t + 1) * countriesPerThread, data.size());
for (size_t i = start; i < end; ++i) {
const auto &country = data[i];
int countryId = country["id"];
std::string countryName = country["name"];
std::string iso2 = country.value("iso2", "");
std::string iso3 = country.value("iso3", "");
// Insert country record
db.InsertCountry(countryId, countryName, iso2, iso3);
// Process states within this country
if (country.contains("states") && country["states"].is_array()) {
const auto &states = country["states"];
// Spawn threads to process states in parallel
// This creates nested parallelism: country threads spawn state
// threads
std::vector<std::thread> stateThreads;
for (size_t s = 0; s < states.size(); ++s) {
stateThreads.push_back(std::thread([&, s, countryId]() {
const auto &state = states[s];
int stateId = state["id"];
std::string stateName = state["name"];
std::string stateIso2 = state.value("iso2", "");
// Insert state record
db.InsertState(stateId, countryId, stateName, stateIso2);
// Process cities for this state
if (state.contains("cities") && state["cities"].is_array()) {
// Cities within a state are processed sequentially
// (within the state thread - reduces context switching)
for (const auto &city : state["cities"]) {
try {
int cityId = city["id"].get<int>();
std::string cityName = city["name"];
// Parse latitude and longitude as strings first (they're
// stored as strings in JSON), then convert to double
double lat = 0.0;
double lng = 0.0;
if (city.contains("latitude")) {
lat = std::stod(city["latitude"].get<std::string>());
}
if (city.contains("longitude")) {
lng = std::stod(city["longitude"].get<std::string>());
}
// Insert city record to database
// Database has mutex protection for thread-safe access
db.InsertCity(cityId, stateId, countryId, cityName, lat,
lng);
// Update shared statistics counter (protected by mutex)
{
std::lock_guard<std::mutex> lock(statsMutex);
processedCities++;
}
} catch (const std::exception &e) {
// Silently skip malformed city entries
// Example: missing required fields, invalid coordinates
}
}
}
}));
}
// Wait for all state threads to complete
// Important: don't proceed to next country until states are done
for (auto &t : stateThreads) {
if (t.joinable())
t.join();
}
} }
} });
}));
}
// Wait for all country threads to complete spdlog::info(" OK: Parsed all cities from JSON");
// This blocks until all nested state/city insertions are done
for (auto &t : countryThreads) {
if (t.joinable())
t.join();
}
std::cout << "✓ Loaded " << processedCities << " cities into database\n\n"; db.CommitTransaction();
auto endTime = std::chrono::high_resolution_clock::now();
auto duration = std::chrono::duration_cast<std::chrono::milliseconds>(
endTime - startTime);
spdlog::info("\n=== World City Data Loading Summary ===\n");
spdlog::info("Cities inserted: {}", citiesProcessed);
spdlog::info("Elapsed time: {} ms", duration.count());
long long throughput =
(citiesProcessed > 0 && duration.count() > 0)
? (1000LL * static_cast<long long>(citiesProcessed)) /
static_cast<long long>(duration.count())
: 0LL;
spdlog::info("Throughput: {} cities/sec", throughput);
spdlog::info("=======================================\n");
} }

View File

@@ -0,0 +1,534 @@
#include "llama_generator.h"
#include "llama.h"
#include <algorithm>
#include <array>
#include <cctype>
#include <memory>
#include <sstream>
#include <stdexcept>
#include <string>
#include <vector>
#include <spdlog/spdlog.h>
namespace {
std::string trim(std::string value) {
auto notSpace = [](unsigned char ch) { return !std::isspace(ch); };
value.erase(value.begin(),
std::find_if(value.begin(), value.end(), notSpace));
value.erase(std::find_if(value.rbegin(), value.rend(), notSpace).base(),
value.end());
return value;
}
std::string stripCommonPrefix(std::string line) {
line = trim(std::move(line));
// Strip simple list markers like "- ", "* ", "1. ", "2) ".
if (!line.empty() && (line[0] == '-' || line[0] == '*')) {
line = trim(line.substr(1));
} else {
std::size_t i = 0;
while (i < line.size() &&
std::isdigit(static_cast<unsigned char>(line[i]))) {
++i;
}
if (i > 0 && i < line.size() && (line[i] == '.' || line[i] == ')')) {
line = trim(line.substr(i + 1));
}
}
auto stripLabel = [&line](const std::string &label) {
if (line.size() >= label.size()) {
bool matches = true;
for (std::size_t i = 0; i < label.size(); ++i) {
if (std::tolower(static_cast<unsigned char>(line[i])) !=
std::tolower(static_cast<unsigned char>(label[i]))) {
matches = false;
break;
}
}
if (matches) {
line = trim(line.substr(label.size()));
}
}
};
stripLabel("name:");
stripLabel("brewery name:");
stripLabel("description:");
stripLabel("username:");
stripLabel("bio:");
return trim(std::move(line));
}
std::string toChatPrompt(const llama_model *model,
const std::string &userPrompt) {
const char *tmpl = llama_model_chat_template(model, nullptr);
if (tmpl == nullptr) {
return userPrompt;
}
const llama_chat_message message{
"user",
userPrompt.c_str(),
};
std::vector<char> buffer(std::max<std::size_t>(1024, userPrompt.size() * 4));
int32_t required =
llama_chat_apply_template(tmpl, &message, 1, true, buffer.data(),
static_cast<int32_t>(buffer.size()));
if (required < 0) {
throw std::runtime_error("LlamaGenerator: failed to apply chat template");
}
if (required >= static_cast<int32_t>(buffer.size())) {
buffer.resize(static_cast<std::size_t>(required) + 1);
required = llama_chat_apply_template(tmpl, &message, 1, true, buffer.data(),
static_cast<int32_t>(buffer.size()));
if (required < 0) {
throw std::runtime_error("LlamaGenerator: failed to apply chat template");
}
}
return std::string(buffer.data(), static_cast<std::size_t>(required));
}
std::string toChatPrompt(const llama_model *model,
const std::string &systemPrompt,
const std::string &userPrompt) {
const char *tmpl = llama_model_chat_template(model, nullptr);
if (tmpl == nullptr) {
// Fall back to concatenating but keep system and user parts distinct.
return systemPrompt + "\n\n" + userPrompt;
}
const llama_chat_message messages[2] = {
{"system", systemPrompt.c_str()},
{"user", userPrompt.c_str()},
};
std::vector<char> buffer(std::max<std::size_t>(
1024, (systemPrompt.size() + userPrompt.size()) * 4));
int32_t required =
llama_chat_apply_template(tmpl, messages, 2, true, buffer.data(),
static_cast<int32_t>(buffer.size()));
if (required < 0) {
throw std::runtime_error("LlamaGenerator: failed to apply chat template");
}
if (required >= static_cast<int32_t>(buffer.size())) {
buffer.resize(static_cast<std::size_t>(required) + 1);
required = llama_chat_apply_template(tmpl, messages, 2, true, buffer.data(),
static_cast<int32_t>(buffer.size()));
if (required < 0) {
throw std::runtime_error("LlamaGenerator: failed to apply chat template");
}
}
return std::string(buffer.data(), static_cast<std::size_t>(required));
}
void appendTokenPiece(const llama_vocab *vocab, llama_token token,
std::string &output) {
std::array<char, 256> buffer{};
int32_t bytes =
llama_token_to_piece(vocab, token, buffer.data(),
static_cast<int32_t>(buffer.size()), 0, true);
if (bytes < 0) {
std::vector<char> dynamicBuffer(static_cast<std::size_t>(-bytes));
bytes = llama_token_to_piece(vocab, token, dynamicBuffer.data(),
static_cast<int32_t>(dynamicBuffer.size()), 0,
true);
if (bytes < 0) {
throw std::runtime_error(
"LlamaGenerator: failed to decode sampled token piece");
}
output.append(dynamicBuffer.data(), static_cast<std::size_t>(bytes));
return;
}
output.append(buffer.data(), static_cast<std::size_t>(bytes));
}
std::pair<std::string, std::string>
parseTwoLineResponse(const std::string &raw, const std::string &errorMessage) {
std::string normalized = raw;
std::replace(normalized.begin(), normalized.end(), '\r', '\n');
std::vector<std::string> lines;
std::stringstream stream(normalized);
std::string line;
while (std::getline(stream, line)) {
line = stripCommonPrefix(std::move(line));
if (!line.empty()) {
lines.push_back(std::move(line));
}
}
// Filter out obvious internal-thought / meta lines that sometimes leak from
// models (e.g. "<think>", "Okay, so the user is asking me...").
std::vector<std::string> filtered;
for (auto &l : lines) {
std::string low = l;
std::transform(low.begin(), low.end(), low.begin(), [](unsigned char c) {
return static_cast<char>(std::tolower(c));
});
// Skip single-token angle-bracket markers like <think> or <...>
if (!l.empty() && l.front() == '<' && l.back() == '>') {
continue;
}
// Skip short internal commentary that starts with common discourse markers
if (low.rfind("okay,", 0) == 0 || low.rfind("wait,", 0) == 0 ||
low.rfind("hmm", 0) == 0) {
continue;
}
// Skip lines that look like self-descriptions of what the model is doing
if (low.find("user is asking") != std::string::npos ||
low.find("protocol") != std::string::npos ||
low.find("parse") != std::string::npos ||
low.find("return only") != std::string::npos) {
continue;
}
filtered.push_back(std::move(l));
}
if (filtered.size() < 2) {
throw std::runtime_error(errorMessage);
}
std::string first = trim(filtered.front());
std::string second;
for (std::size_t i = 1; i < filtered.size(); ++i) {
if (!second.empty()) {
second += ' ';
}
second += filtered[i];
}
second = trim(std::move(second));
if (first.empty() || second.empty()) {
throw std::runtime_error(errorMessage);
}
return {first, second};
}
} // namespace
LlamaGenerator::~LlamaGenerator() {
if (context_ != nullptr) {
llama_free(context_);
context_ = nullptr;
}
if (model_ != nullptr) {
llama_model_free(model_);
model_ = nullptr;
}
llama_backend_free();
}
void LlamaGenerator::load(const std::string &modelPath) {
if (modelPath.empty()) {
throw std::runtime_error("LlamaGenerator: model path must not be empty");
}
if (context_ != nullptr) {
llama_free(context_);
context_ = nullptr;
}
if (model_ != nullptr) {
llama_model_free(model_);
model_ = nullptr;
}
llama_backend_init();
llama_model_params modelParams = llama_model_default_params();
model_ = llama_load_model_from_file(modelPath.c_str(), modelParams);
if (model_ == nullptr) {
throw std::runtime_error(
"LlamaGenerator: failed to load model from path: " + modelPath);
}
llama_context_params contextParams = llama_context_default_params();
contextParams.n_ctx = 2048;
context_ = llama_init_from_model(model_, contextParams);
if (context_ == nullptr) {
llama_model_free(model_);
model_ = nullptr;
throw std::runtime_error("LlamaGenerator: failed to create context");
}
spdlog::info("[LlamaGenerator] Loaded model: {}", modelPath);
}
std::string LlamaGenerator::infer(const std::string &prompt, int maxTokens) {
if (model_ == nullptr || context_ == nullptr) {
throw std::runtime_error("LlamaGenerator: model not loaded");
}
const llama_vocab *vocab = llama_model_get_vocab(model_);
if (vocab == nullptr) {
throw std::runtime_error("LlamaGenerator: vocab unavailable");
}
llama_memory_clear(llama_get_memory(context_), true);
const std::string formattedPrompt = toChatPrompt(model_, prompt);
std::vector<llama_token> promptTokens(formattedPrompt.size() + 8);
int32_t tokenCount = llama_tokenize(
vocab, formattedPrompt.c_str(),
static_cast<int32_t>(formattedPrompt.size()), promptTokens.data(),
static_cast<int32_t>(promptTokens.size()), true, true);
if (tokenCount < 0) {
promptTokens.resize(static_cast<std::size_t>(-tokenCount));
tokenCount = llama_tokenize(
vocab, formattedPrompt.c_str(),
static_cast<int32_t>(formattedPrompt.size()), promptTokens.data(),
static_cast<int32_t>(promptTokens.size()), true, true);
}
if (tokenCount < 0) {
throw std::runtime_error("LlamaGenerator: prompt tokenization failed");
}
promptTokens.resize(static_cast<std::size_t>(tokenCount));
const llama_batch promptBatch = llama_batch_get_one(
promptTokens.data(), static_cast<int32_t>(promptTokens.size()));
if (llama_decode(context_, promptBatch) != 0) {
throw std::runtime_error("LlamaGenerator: prompt decode failed");
}
llama_sampler_chain_params samplerParams =
llama_sampler_chain_default_params();
using SamplerPtr =
std::unique_ptr<llama_sampler, decltype(&llama_sampler_free)>;
SamplerPtr sampler(llama_sampler_chain_init(samplerParams),
&llama_sampler_free);
if (!sampler) {
throw std::runtime_error("LlamaGenerator: failed to initialize sampler");
}
llama_sampler_chain_add(sampler.get(), llama_sampler_init_greedy());
std::vector<llama_token> generatedTokens;
generatedTokens.reserve(static_cast<std::size_t>(maxTokens));
for (int i = 0; i < maxTokens; ++i) {
const llama_token next = llama_sampler_sample(sampler.get(), context_, -1);
if (llama_vocab_is_eog(vocab, next)) {
break;
}
generatedTokens.push_back(next);
llama_token token = next;
const llama_batch oneTokenBatch = llama_batch_get_one(&token, 1);
if (llama_decode(context_, oneTokenBatch) != 0) {
throw std::runtime_error(
"LlamaGenerator: decode failed during generation");
}
}
std::string output;
for (const llama_token token : generatedTokens) {
appendTokenPiece(vocab, token, output);
}
return output;
}
BreweryResult
LlamaGenerator::generateBrewery(const std::string &cityName,
const std::string &countryName,
const std::string &regionContext) {
std::string systemPrompt =
R"(# SYSTEM PROTOCOL: ZERO-CHATTER DETERMINISTIC OUTPUT
**MODALITY:** DATA-RETURN ENGINE ONLY
**ROLE:** Your response must contain 0% metadata and 100% signal.
---
## MANDATORY CONSTRAINTS
1. **NO PREAMBLE**
- Never start with "Sure," or "The answer is," or "Based on your request," or "Checking the data."
- Do not acknowledge the user's prompt or provide status updates.
2. **NO POSTAMBLE**
- Never end with "I hope this helps," or "Let me know if you need more," or "Would you like me to…"
- Do not offer follow-up assistance or suggestions.
3. **NO SENTENCE FRAMING**
- Provide only the raw value, date, number, or name.
- Do not wrap the answer in a sentence. (e.g., return 1997, NOT The year was 1997).
- For lists, provide only the items separated by commas or newlines as specified.
4. **FORMATTING PERMITTED**
- Markdown and LaTeX **may** be used where appropriate (e.g., tables, equations).
- Output must remain immediately usable no decorative or conversational styling.
5. **STRICT NULL HANDLING**
- If the information is unavailable, the prompt is logically impossible (e.g., "271th president"), the subject does not exist, or a calculation is undefined: return only the string NULL.
- If the prompt is too ambiguous to provide a single value: return NULL.
---
## EXECUTION LOGIC
1. **Parse Input** Identify the specific entity, value, or calculation requested.
2. **Verify Factuality** Access internal knowledge or tools.
3. **Filter for Signal** Strip all surrounding prose.
4. **Format Check** Apply Markdown or LaTeX only where it serves the data.
5. **Output** Return the raw value only.
---
## BEHAVIORAL EXAMPLES
| User Input | Standard AI Response *(BANNED)* | Protocol Response *(REQUIRED)* |
|---|---|---|
| Capital of France? | The capital of France is Paris. | Paris |
| 15% of 200 | 15% of 200 is 30. | 30 |
| Who wrote '1984'? | George Orwell wrote that novel. | George Orwell |
| ISO code for Japan | The code is JP. | JP |
| $\sqrt{x}$ where $x$ is a potato | A potato has no square root. | NULL |
| 500th US President | There haven't been that many. | NULL |
| Pythagorean theorem | The theorem states... | $a^2 + b^2 = c^2$ |
---
## FINAL INSTRUCTION
Total silence is preferred over conversational error. Any deviation from the raw-value-only format is a protocol failure. Proceed with next input.)";
std::string prompt =
"Generate a craft brewery name and 1000 character description for a "
"brewery located in " +
cityName +
(countryName.empty() ? std::string("")
: std::string(", ") + countryName) +
". " + regionContext +
" Respond with exactly two lines: first line is the name, second line is "
"the description. Do not include bullets, numbering, or any extra text.";
const std::string raw = infer(systemPrompt, prompt, 512);
auto [name, description] =
parseTwoLineResponse(raw, "LlamaGenerator: malformed brewery response");
return {name, description};
}
std::string LlamaGenerator::infer(const std::string &systemPrompt,
const std::string &prompt, int maxTokens) {
if (model_ == nullptr || context_ == nullptr) {
throw std::runtime_error("LlamaGenerator: model not loaded");
}
const llama_vocab *vocab = llama_model_get_vocab(model_);
if (vocab == nullptr) {
throw std::runtime_error("LlamaGenerator: vocab unavailable");
}
llama_memory_clear(llama_get_memory(context_), true);
const std::string formattedPrompt =
toChatPrompt(model_, systemPrompt, prompt);
std::vector<llama_token> promptTokens(formattedPrompt.size() + 8);
int32_t tokenCount = llama_tokenize(
vocab, formattedPrompt.c_str(),
static_cast<int32_t>(formattedPrompt.size()), promptTokens.data(),
static_cast<int32_t>(promptTokens.size()), true, true);
if (tokenCount < 0) {
promptTokens.resize(static_cast<std::size_t>(-tokenCount));
tokenCount = llama_tokenize(
vocab, formattedPrompt.c_str(),
static_cast<int32_t>(formattedPrompt.size()), promptTokens.data(),
static_cast<int32_t>(promptTokens.size()), true, true);
}
if (tokenCount < 0) {
throw std::runtime_error("LlamaGenerator: prompt tokenization failed");
}
promptTokens.resize(static_cast<std::size_t>(tokenCount));
const llama_batch promptBatch = llama_batch_get_one(
promptTokens.data(), static_cast<int32_t>(promptTokens.size()));
if (llama_decode(context_, promptBatch) != 0) {
throw std::runtime_error("LlamaGenerator: prompt decode failed");
}
llama_sampler_chain_params samplerParams =
llama_sampler_chain_default_params();
using SamplerPtr =
std::unique_ptr<llama_sampler, decltype(&llama_sampler_free)>;
SamplerPtr sampler(llama_sampler_chain_init(samplerParams),
&llama_sampler_free);
if (!sampler) {
throw std::runtime_error("LlamaGenerator: failed to initialize sampler");
}
llama_sampler_chain_add(sampler.get(), llama_sampler_init_greedy());
std::vector<llama_token> generatedTokens;
generatedTokens.reserve(static_cast<std::size_t>(maxTokens));
for (int i = 0; i < maxTokens; ++i) {
const llama_token next = llama_sampler_sample(sampler.get(), context_, -1);
if (llama_vocab_is_eog(vocab, next)) {
break;
}
generatedTokens.push_back(next);
llama_token token = next;
const llama_batch oneTokenBatch = llama_batch_get_one(&token, 1);
if (llama_decode(context_, oneTokenBatch) != 0) {
throw std::runtime_error(
"LlamaGenerator: decode failed during generation");
}
}
std::string output;
for (const llama_token token : generatedTokens) {
appendTokenPiece(vocab, token, output);
}
return output;
}
UserResult LlamaGenerator::generateUser(const std::string &locale) {
std::string prompt =
"Generate a plausible craft beer enthusiast username and a one-sentence "
"bio. Locale: " +
locale +
". Respond with exactly two lines: first line is the username (no "
"spaces), second line is the bio. Do not include bullets, numbering, "
"or any extra text.";
const std::string raw = infer(prompt, 128);
auto [username, bio] =
parseTwoLineResponse(raw, "LlamaGenerator: malformed user response");
username.erase(
std::remove_if(username.begin(), username.end(),
[](unsigned char ch) { return std::isspace(ch); }),
username.end());
if (username.empty() || bio.empty()) {
throw std::runtime_error("LlamaGenerator: malformed user response");
}
return {username, bio};
}

View File

@@ -1,153 +1,105 @@
/**
* @file main.cpp
* @brief Entry point for the brewery data pipeline
*
* Pipeline Overview:
* This is the main data processing pipeline that:
* 1. Initializes an in-memory SQLite database
* 2. Loads world city data from a JSON file (50k+ cities)
* 3. Initializes the brewery generation system (currently mocked)
* 4. Demonstrates brewery generation for sample cities
*
* Architecture:
* ┌─────────────┐
* │ JSON File │ (world_city_data.json - 50k+ cities)
* └──────┬──────┘
* │
* ▼
* ┌─────────────────────┐
* │ JsonLoader::Load │ Parse and validate JSON
* └──────┬──────────────┘
* │
* ▼
* ┌─────────────────────┐
* │ SQLite Database │ Store cities in-memory
* └──────┬──────────────┘
* │
* ▼
* ┌─────────────────────┐
* │ BreweryGenerator │ Mock generation (hash-based)
* │ .GenerateBrewery() │ Future: LLM-based generation
* └─────────────────────┘
*
* Command Line Arguments:
* - argv[1]: Path to GGUF model file (default: ./model.gguf)
* - argv[2]: Path to cache directory for JSON downloads (default: /tmp)
* - argv[3]: Git commit hash for reproducible data version (default: c5eb7772)
*
* The pipeline automatically downloads the geographic data from GitHub on first
* run and caches it locally to avoid repeated network calls.
*
* Example Usage - Auto-download (stable 2026-03-28 build):
* @code
* ./brewery-pipeline ./llama-7b.gguf
* @endcode
*
* Example Usage - Custom commit:
* @code
* ./brewery-pipeline ./llama-7b.gguf /tmp main
* @endcode
*
* Exit Codes:
* - 0: Pipeline completed successfully
* - 1: Pipeline failed (exception caught)
*/
#include "data_downloader.h" #include "data_downloader.h"
#include "data_generator.h"
#include "database.h" #include "database.h"
#include "generator.h"
#include "json_loader.h" #include "json_loader.h"
#include "llama_generator.h"
#include "mock_generator.h"
#include <curl/curl.h> #include <curl/curl.h>
#include <iostream> #include <filesystem>
#include <memory>
#include <spdlog/spdlog.h>
#include <vector>
static bool FileExists(const std::string &filePath) {
return std::filesystem::exists(filePath);
}
int main(int argc, char *argv[]) { int main(int argc, char *argv[]) {
try { try {
// Initialize libcurl globally (thread-safe mode)
curl_global_init(CURL_GLOBAL_DEFAULT); curl_global_init(CURL_GLOBAL_DEFAULT);
// Parse command-line arguments std::string modelPath = argc > 1 ? argv[1] : "";
std::string modelPath = argc > 1 ? argv[1] : "./model.gguf";
std::string cacheDir = argc > 2 ? argv[2] : "/tmp"; std::string cacheDir = argc > 2 ? argv[2] : "/tmp";
std::string commit = std::string commit =
argc > 3 ? argv[3] : "c5eb7772"; // Default: stable 2026-03-28 argc > 3 ? argv[3] : "c5eb7772"; // Default: stable 2026-03-28
// Construct cache path for downloaded JSON std::string countryName = argc > 4 ? argv[4] : "";
std::string jsonPath = cacheDir + "/countries+states+cities.json";
// Step 0: Download geographic data from GitHub (cached locally) std::string jsonPath = cacheDir + "/countries+states+cities.json";
// On first run, downloads 45MB JSON. On subsequent runs, uses cached file. std::string dbPath = cacheDir + "/biergarten-pipeline.db";
// Commit hash allows pinning to specific data versions for reproducibility.
std::cout << "\n[Pipeline] Downloading geographic data from GitHub...\n"; bool hasJsonCache = FileExists(jsonPath);
DataDownloader downloader; bool hasDbCache = FileExists(dbPath);
downloader.DownloadCountriesDatabase(jsonPath, commit);
SqliteDatabase db; SqliteDatabase db;
// Step 1: Initialize empty in-memory database spdlog::info("Initializing SQLite database at {}...", dbPath);
std::cout << "Initializing in-memory SQLite database...\n"; db.Initialize(dbPath);
db.Initialize();
// Step 2: Load world city data from JSON file if (hasDbCache && hasJsonCache) {
// This populates the database with ~50k city records spdlog::info("[Pipeline] Cache hit: skipping download and parse");
// Each record includes: city name, country, latitude, longitude, population } else {
JsonLoader::LoadWorldCities(jsonPath, db); spdlog::info("\n[Pipeline] Downloading geographic data from GitHub...");
DataDownloader downloader;
downloader.DownloadCountriesDatabase(jsonPath, commit);
// Step 3: Initialize brewery generator JsonLoader::LoadWorldCities(jsonPath, db);
// Current: Mock implementation using deterministic hashing }
// Future: LLM-based generation with llama.cpp
std::cout << "Initializing brewery generator...\n";
LlamaBreweryGenerator generator;
generator.LoadModel(modelPath);
// Step 4: Query geographic data from database spdlog::info("Initializing brewery generator...");
std::cout << "\n=== GEOGRAPHIC DATA OVERVIEW ===\n"; std::unique_ptr<IDataGenerator> generator;
if (modelPath.empty()) {
generator = std::make_unique<MockGenerator>();
spdlog::info("[Generator] Using MockGenerator (no model path provided)");
} else {
generator = std::make_unique<LlamaGenerator>();
spdlog::info("[Generator] Using LlamaGenerator: {}", modelPath);
}
generator->load(modelPath);
spdlog::info("\n=== GEOGRAPHIC DATA OVERVIEW ===");
auto countries = db.QueryCountries(50); auto countries = db.QueryCountries(50);
auto states = db.QueryStates(50); auto states = db.QueryStates(50);
auto cities = db.QueryCities(); auto cities = db.QueryCities();
std::cout << "\nTotal records loaded:"; spdlog::info("\nTotal records loaded:");
std::cout << "\n Countries: " << db.QueryCountries(0).size(); spdlog::info(" Countries: {}", db.QueryCountries(0).size());
std::cout << "\n States: " << db.QueryStates(0).size(); spdlog::info(" States: {}", db.QueryStates(0).size());
std::cout << "\n Cities: " << cities.size() << "\n"; spdlog::info(" Cities: {}", cities.size());
// Display 50 countries struct GeneratedBrewery {
std::cout << "\n--- 50 COUNTRIES ---\n"; int cityId;
for (size_t i = 0; i < countries.size(); i++) { std::string cityName;
std::cout << (i + 1) << ". " << countries[i].iso2 << " (" BreweryResult brewery;
<< countries[i].iso3 << ") " << countries[i].name << "\n"; };
}
// Display 50 states std::vector<GeneratedBrewery> generatedBreweries;
std::cout << "\n--- 50 STATES ---\n"; const size_t sampleCount = std::min(size_t(30), cities.size());
for (size_t i = 0; i < states.size(); i++) {
std::cout << (i + 1) << ". " << states[i].iso2 << ": " << states[i].name
<< "\n";
}
// Display 50 cities spdlog::info("\n=== SAMPLE BREWERY GENERATION ===");
std::cout << "\n--- 50 CITIES ---\n"; for (size_t i = 0; i < sampleCount; i++) {
for (size_t i = 0; i < std::min(size_t(50), cities.size()); i++) {
std::cout << (i + 1) << ". " << cities[i].second << "\n";
}
// Step 5: Demonstrate brewery generation on sample cities
std::cout << "\n=== SAMPLE BREWERY GENERATION ===\n\n";
for (size_t i = 0; i < std::min(size_t(5), cities.size()); i++) {
const auto &[cityId, cityName] = cities[i]; const auto &[cityId, cityName] = cities[i];
auto brewery = generator.GenerateBrewery(cityName, i); auto brewery = generator->generateBrewery(cityName, countryName, "");
std::cout << " " << cityName << ": " << brewery.name << "\n"; generatedBreweries.push_back({cityId, cityName, brewery});
std::cout << "" << brewery.description << "\n";
} }
std::cout << "\n✓ Pipeline completed successfully\n"; spdlog::info("\n=== GENERATED DATA DUMP ===");
for (size_t i = 0; i < generatedBreweries.size(); i++) {
const auto &entry = generatedBreweries[i];
spdlog::info("{}. city_id={} city=\"{}\"", i + 1, entry.cityId,
entry.cityName);
spdlog::info(" brewery_name=\"{}\"", entry.brewery.name);
spdlog::info(" brewery_description=\"{}\"", entry.brewery.description);
}
spdlog::info("\nOK: Pipeline completed successfully");
// Cleanup
curl_global_cleanup(); curl_global_cleanup();
return 0; return 0;
} catch (const std::exception &e) { } catch (const std::exception &e) {
std::cerr << " Pipeline failed: " << e.what() << "\n"; spdlog::error("ERROR: Pipeline failed: {}", e.what());
curl_global_cleanup(); curl_global_cleanup();
return 1; return 1;
} }

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#include "mock_generator.h"
#include <functional>
#include <spdlog/spdlog.h>
const std::vector<std::string> MockGenerator::kBreweryAdjectives = {
"Craft", "Heritage", "Local", "Artisan", "Pioneer", "Golden",
"Modern", "Classic", "Summit", "Northern", "Riverstone", "Barrel",
"Hinterland", "Harbor", "Wild", "Granite", "Copper", "Maple"};
const std::vector<std::string> MockGenerator::kBreweryNouns = {
"Brewing Co.", "Brewery", "Bier Haus", "Taproom", "Works",
"House", "Fermentery", "Ale Co.", "Cellars", "Collective",
"Project", "Foundry", "Malthouse", "Public House", "Co-op",
"Lab", "Beer Hall", "Guild"};
const std::vector<std::string> MockGenerator::kBreweryDescriptions = {
"Handcrafted pale ales and seasonal IPAs with local ingredients.",
"Traditional lagers and experimental sours in small batches.",
"Award-winning stouts and wildly hoppy blonde ales.",
"Craft brewery specializing in Belgian-style triples and dark porters.",
"Modern brewery blending tradition with bold experimental flavors.",
"Neighborhood-focused taproom pouring crisp pilsners and citrusy pale "
"ales.",
"Small-batch brewery known for barrel-aged releases and smoky lagers.",
"Independent brewhouse pairing farmhouse ales with rotating food pop-ups.",
"Community brewpub making balanced bitters, saisons, and hazy IPAs.",
"Experimental nanobrewery exploring local yeast and regional grains.",
"Family-run brewery producing smooth amber ales and robust porters.",
"Urban brewery crafting clean lagers and bright, fruit-forward sours.",
"Riverfront brewhouse featuring oak-matured ales and seasonal blends.",
"Modern taproom focused on sessionable lagers and classic pub styles.",
"Brewery rooted in tradition with a lineup of malty reds and crisp lagers.",
"Creative brewery offering rotating collaborations and limited draft-only "
"pours.",
"Locally inspired brewery serving approachable ales with bold hop "
"character.",
"Destination taproom known for balanced IPAs and cocoa-rich stouts."};
const std::vector<std::string> MockGenerator::kUsernames = {
"hopseeker", "malttrail", "yeastwhisper", "lagerlane",
"barrelbound", "foamfinder", "taphunter", "graingeist",
"brewscout", "aleatlas", "caskcompass", "hopsandmaps",
"mashpilot", "pintnomad", "fermentfriend", "stoutsignal",
"sessionwander", "kettlekeeper"};
const std::vector<std::string> MockGenerator::kBios = {
"Always chasing balanced IPAs and crisp lagers across local taprooms.",
"Weekend brewery explorer with a soft spot for dark, roasty stouts.",
"Documenting tiny brewpubs, fresh pours, and unforgettable beer gardens.",
"Fan of farmhouse ales, food pairings, and long tasting flights.",
"Collecting favorite pilsners one city at a time.",
"Hops-first drinker who still saves room for classic malt-forward styles.",
"Finding hidden tap lists and sharing the best seasonal releases.",
"Brewery road-tripper focused on local ingredients and clean fermentation.",
"Always comparing house lagers and ranking patio pint vibes.",
"Curious about yeast strains, barrel programs, and cellar experiments.",
"Believes every neighborhood deserves a great community taproom.",
"Looking for session beers that taste great from first sip to last.",
"Belgian ale enthusiast who never skips a new saison.",
"Hazy IPA critic with deep respect for a perfectly clear pilsner.",
"Visits breweries for the stories, stays for the flagship pours.",
"Craft beer fan mapping tasting notes and favorite brew routes.",
"Always ready to trade recommendations for underrated local breweries.",
"Keeping a running list of must-try collab releases and tap takeovers."};
void MockGenerator::load(const std::string & /*modelPath*/) {
spdlog::info("[MockGenerator] No model needed");
}
std::size_t MockGenerator::deterministicHash(const std::string &a,
const std::string &b) {
std::size_t seed = std::hash<std::string>{}(a);
const std::size_t mixed = std::hash<std::string>{}(b);
seed ^= mixed + 0x9e3779b97f4a7c15ULL + (seed << 6) + (seed >> 2);
seed = (seed << 13) | (seed >> ((sizeof(std::size_t) * 8) - 13));
return seed;
}
BreweryResult MockGenerator::generateBrewery(const std::string &cityName,
const std::string &countryName,
const std::string &regionContext) {
const std::string locationKey =
countryName.empty() ? cityName : cityName + "," + countryName;
const std::size_t hash = regionContext.empty()
? std::hash<std::string>{}(locationKey)
: deterministicHash(locationKey, regionContext);
BreweryResult result;
result.name = kBreweryAdjectives[hash % kBreweryAdjectives.size()] + " " +
kBreweryNouns[(hash / 7) % kBreweryNouns.size()];
result.description =
kBreweryDescriptions[(hash / 13) % kBreweryDescriptions.size()];
return result;
}
UserResult MockGenerator::generateUser(const std::string &locale) {
const std::size_t hash = std::hash<std::string>{}(locale);
UserResult result;
result.username = kUsernames[hash % kUsernames.size()];
result.bio = kBios[(hash / 11) % kBios.size()];
return result;
}

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#include "stream_parser.h"
#include "database.h"
#include <cstdio>
#include <rapidjson/filereadstream.h>
#include <rapidjson/reader.h>
#include <rapidjson/stringbuffer.h>
#include <spdlog/spdlog.h>
using namespace rapidjson;
class CityRecordHandler : public BaseReaderHandler<UTF8<>, CityRecordHandler> {
public:
struct ParseContext {
SqliteDatabase *db = nullptr;
std::function<void(const CityRecord &)> on_city;
std::function<void(size_t, size_t)> on_progress;
size_t cities_emitted = 0;
size_t total_file_size = 0;
int countries_inserted = 0;
int states_inserted = 0;
};
CityRecordHandler(ParseContext &ctx) : context(ctx) {}
bool StartArray() {
depth++;
if (depth == 1) {
in_countries_array = true;
} else if (depth == 3 && current_key == "states") {
in_states_array = true;
} else if (depth == 5 && current_key == "cities") {
in_cities_array = true;
}
return true;
}
bool EndArray(SizeType /*elementCount*/) {
if (depth == 1) {
in_countries_array = false;
} else if (depth == 3) {
in_states_array = false;
} else if (depth == 5) {
in_cities_array = false;
}
depth--;
return true;
}
bool StartObject() {
depth++;
if (depth == 2 && in_countries_array) {
in_country_object = true;
current_country_id = 0;
country_info[0].clear();
country_info[1].clear();
country_info[2].clear();
} else if (depth == 4 && in_states_array) {
in_state_object = true;
current_state_id = 0;
state_info[0].clear();
state_info[1].clear();
} else if (depth == 6 && in_cities_array) {
building_city = true;
current_city = {};
}
return true;
}
bool EndObject(SizeType /*memberCount*/) {
if (depth == 6 && building_city) {
if (current_city.id > 0 && current_state_id > 0 &&
current_country_id > 0) {
current_city.state_id = current_state_id;
current_city.country_id = current_country_id;
try {
context.on_city(current_city);
context.cities_emitted++;
if (context.on_progress && context.cities_emitted % 10000 == 0) {
context.on_progress(context.cities_emitted,
context.total_file_size);
}
} catch (const std::exception &e) {
spdlog::warn(" WARN: Failed to emit city: {}", e.what());
}
}
building_city = false;
} else if (depth == 4 && in_state_object) {
if (current_state_id > 0 && current_country_id > 0) {
try {
context.db->InsertState(current_state_id, current_country_id,
state_info[0], state_info[1]);
context.states_inserted++;
} catch (const std::exception &e) {
spdlog::warn(" WARN: Failed to insert state: {}", e.what());
}
}
in_state_object = false;
} else if (depth == 2 && in_country_object) {
if (current_country_id > 0) {
try {
context.db->InsertCountry(current_country_id, country_info[0],
country_info[1], country_info[2]);
context.countries_inserted++;
} catch (const std::exception &e) {
spdlog::warn(" WARN: Failed to insert country: {}", e.what());
}
}
in_country_object = false;
}
depth--;
return true;
}
bool Key(const char *str, SizeType len, bool /*copy*/) {
current_key.assign(str, len);
return true;
}
bool String(const char *str, SizeType len, bool /*copy*/) {
if (building_city && current_key == "name") {
current_city.name.assign(str, len);
} else if (in_state_object && current_key == "name") {
state_info[0].assign(str, len);
} else if (in_state_object && current_key == "iso2") {
state_info[1].assign(str, len);
} else if (in_country_object && current_key == "name") {
country_info[0].assign(str, len);
} else if (in_country_object && current_key == "iso2") {
country_info[1].assign(str, len);
} else if (in_country_object && current_key == "iso3") {
country_info[2].assign(str, len);
}
return true;
}
bool Int(int i) {
if (building_city && current_key == "id") {
current_city.id = i;
} else if (in_state_object && current_key == "id") {
current_state_id = i;
} else if (in_country_object && current_key == "id") {
current_country_id = i;
}
return true;
}
bool Uint(unsigned i) { return Int(static_cast<int>(i)); }
bool Int64(int64_t i) { return Int(static_cast<int>(i)); }
bool Uint64(uint64_t i) { return Int(static_cast<int>(i)); }
bool Double(double d) {
if (building_city) {
if (current_key == "latitude") {
current_city.latitude = d;
} else if (current_key == "longitude") {
current_city.longitude = d;
}
}
return true;
}
bool Bool(bool /*b*/) { return true; }
bool Null() { return true; }
private:
ParseContext &context;
int depth = 0;
bool in_countries_array = false;
bool in_country_object = false;
bool in_states_array = false;
bool in_state_object = false;
bool in_cities_array = false;
bool building_city = false;
int current_country_id = 0;
int current_state_id = 0;
CityRecord current_city = {};
std::string current_key;
std::string country_info[3];
std::string state_info[2];
};
void StreamingJsonParser::Parse(
const std::string &filePath, SqliteDatabase &db,
std::function<void(const CityRecord &)> onCity,
std::function<void(size_t, size_t)> onProgress) {
spdlog::info(" Streaming parse of {}...", filePath);
FILE *file = std::fopen(filePath.c_str(), "rb");
if (!file) {
throw std::runtime_error("Failed to open JSON file: " + filePath);
}
size_t total_size = 0;
if (std::fseek(file, 0, SEEK_END) == 0) {
long file_size = std::ftell(file);
if (file_size > 0) {
total_size = static_cast<size_t>(file_size);
}
std::rewind(file);
}
CityRecordHandler::ParseContext ctx{&db, onCity, onProgress, 0,
total_size, 0, 0};
CityRecordHandler handler(ctx);
Reader reader;
char buf[65536];
FileReadStream frs(file, buf, sizeof(buf));
if (!reader.Parse(frs, handler)) {
ParseErrorCode errCode = reader.GetParseErrorCode();
size_t errOffset = reader.GetErrorOffset();
std::fclose(file);
throw std::runtime_error(std::string("JSON parse error at offset ") +
std::to_string(errOffset) +
" (code: " + std::to_string(errCode) + ")");
}
std::fclose(file);
spdlog::info(" OK: Parsed {} countries, {} states, {} cities",
ctx.countries_inserted, ctx.states_inserted, ctx.cities_emitted);
}