From cd5fd2d998dd7213832f62d95c38e671873c1321 Mon Sep 17 00:00:00 2001 From: Aaron Po Date: Sun, 23 Aug 2026 23:53:56 -0400 Subject: [PATCH] Add reverse geocoding for brewery street addresses (#245) * Add geocoding to seed application, remove postal codes from generator Update comments --- .gitignore | 2 +- docs/pipeline/ETHICS-AND-KNOWN-ISSUES.md | 23 +- tooling/pipeline/CMakeLists.txt | 10 +- .../pipeline/includes/biergarten_pipeline.h | 5 +- .../biergarten_pipeline_orchestrator.h | 5 - .../biergarten_pipeline_orchestrator/coords.h | 58 + .../generation_json_validation.h | 14 +- .../data_generation/openai_generator.h | 10 +- .../data_generation/openai_json_schemas.h | 11 +- .../includes/data_model/generated_models.h | 12 +- .../database/sqlite_statement_helpers.h | 16 +- .../postal_code/mock_postal_code_service.h | 80 - .../postal_code/postal_code_service.h | 35 - .../postal_code/xeger_postal_code_service.h | 32 - tooling/pipeline/locations.json | 4422 ++++++++++------- .../application_options/parse_arguments.cc | 9 +- .../biergarten_pipeline_orchestrator.cc | 2 - .../generate_breweries.cc | 47 +- .../generate_users.cc | 17 +- .../log_results.cc | 1 - .../generation_json_validation.cc | 4 +- .../openai/generate_brewery.cc | 9 +- .../data_generation/openai/generate_user.cc | 3 +- tooling/pipeline/src/main.cc | 38 +- .../curated_data/curated_json_data_service.cc | 52 +- .../postal_code/xeger_postal_code_service.cc | 44 - .../src/services/sqlite/process_record.cc | 7 - .../services/sqlite/process_user_record.cc | 15 +- .../Database.Seed/Database.Seed.csproj | 20 +- .../DatabaseHelpers/ConnectionStrings.cs | 3 +- .../Geocoding/NominatimReverseGeocoder.cs | 124 + .../PipelineData/BreweryAddress.cs | 2 - .../Database.Seed/PipelineData/UserAddress.cs | 4 +- web/backend/Database/Database.Seed/Program.cs | 90 +- ...en_seed_2026-07-20T05-46-02.993511Z.sqlite | Bin 172032 -> 0 bytes ...en_seed_2026-08-24T01-52-09.841693Z.sqlite | Bin 0 -> 524288 bytes .../SeedData/open-ai-test.sqlite | Bin 94208 -> 0 bytes .../SeedData/open-ai-test2.sqlite | Bin 286720 -> 0 bytes .../Database.Seed/SeedData/seed.sqlite | Bin 61440 -> 0 bytes .../Sqlite/PipelineSeedDataReader.cs | 16 +- .../Repository/BreweryRepository.cs | 21 +- 41 files changed, 2966 insertions(+), 2297 deletions(-) create mode 100644 tooling/pipeline/includes/biergarten_pipeline_orchestrator/coords.h delete mode 100644 tooling/pipeline/includes/services/postal_code/mock_postal_code_service.h delete mode 100644 tooling/pipeline/includes/services/postal_code/postal_code_service.h delete mode 100644 tooling/pipeline/includes/services/postal_code/xeger_postal_code_service.h delete mode 100644 tooling/pipeline/src/services/postal_code/xeger_postal_code_service.cc create mode 100644 web/backend/Database/Database.Seed/Geocoding/NominatimReverseGeocoder.cs delete mode 100644 web/backend/Database/Database.Seed/SeedData/biergarten_seed_2026-07-20T05-46-02.993511Z.sqlite create mode 100644 web/backend/Database/Database.Seed/SeedData/biergarten_seed_2026-08-24T01-52-09.841693Z.sqlite delete mode 100644 web/backend/Database/Database.Seed/SeedData/open-ai-test.sqlite delete mode 100644 web/backend/Database/Database.Seed/SeedData/open-ai-test2.sqlite delete mode 100644 web/backend/Database/Database.Seed/SeedData/seed.sqlite diff --git a/.gitignore b/.gitignore index eef46f41..078de8a3 100644 --- a/.gitignore +++ b/.gitignore @@ -1,5 +1,5 @@ # See https://help.github.com/articles/ignoring-files/ for more about ignoring files. - +scratchpad.txt # dependencies /node_modules /.pnp diff --git a/docs/pipeline/ETHICS-AND-KNOWN-ISSUES.md b/docs/pipeline/ETHICS-AND-KNOWN-ISSUES.md index fc54d59b..08d9ca9b 100644 --- a/docs/pipeline/ETHICS-AND-KNOWN-ISSUES.md +++ b/docs/pipeline/ETHICS-AND-KNOWN-ISSUES.md @@ -18,7 +18,7 @@ low-resource language failures. - [Known issues](#known-issues) - [Hallucinated brewing techniques](#hallucinated-brewing-techniques) - [Low-resource language hallucination](#low-resource-language-hallucination) - - [Synthetic postal codes](#synthetic-postal-codes) + - [Synthetic coordinates](#synthetic-coordinates) --- @@ -284,20 +284,17 @@ Output sample: [./french-cities.example](french-cities.example) SQLite schema so downstream applications can filter or flag potentially hallucinated text by language tier. -### Synthetic postal codes +### Synthetic coordinates -When the pipeline is run without `--mocked`, `XegerPostalCodeService` generates -a fresh postal code per brewery/user address by reverse-matching one of the -city's curated postal-code regexes from `locations.json` (falling back to the -country format regex), rather than returning one of `MockPostalCodeService`'s -curated real-world examples. +Each brewery and user address carries a longitude/latitude pair, sampled +uniformly at random within a 5 km disc centred on the city's curated +`latitude`/`longitude` from `locations.json`. -The generated code is **format-conformant by construction** — it always -satisfies the regex it was generated from — but it is not looked up from any -real postal registry. It does not correspond to a real address, business, or -resident, and should not be treated as accurate geocoding or delivery data. This -is consistent with the rest of the dataset: fixture data for a proof-of-concept, -not a source of truth. +The resulting point is **plausible by construction** — it always falls within +the city's vicinity — but it is not looked up from any real address registry. +It does not correspond to a real address, business, or resident, and should +not be treated as accurate geocoding data. This is consistent with the rest of +the dataset: fixture data for a proof-of-concept, not a source of truth. --- diff --git a/tooling/pipeline/CMakeLists.txt b/tooling/pipeline/CMakeLists.txt index 33a813fd..dd3e0e03 100644 --- a/tooling/pipeline/CMakeLists.txt +++ b/tooling/pipeline/CMakeLists.txt @@ -32,7 +32,9 @@ else() if(CUDAToolkit_FOUND) message(STATUS "[biergarten] NVIDIA GPU detected — enabling CUDA acceleration.") set(GGML_CUDA ON CACHE BOOL "Enable CUDA for NVIDIA GPUs" FORCE) - set(CMAKE_CUDA_ARCHITECTURES native) + if (NOT DEFINED CMAKE_CUDA_ARCHITECTURES) + set(CMAKE_CUDA_ARCHITECTURES native) + endif() elseif(hip_FOUND OR DEFINED ENV{ROCM_PATH} OR EXISTS "/opt/rocm") message(STATUS "[biergarten] AMD GPU detected — enabling HIP/ROCm acceleration.") set(GGML_HIPBLAS ON CACHE BOOL "Enable HIP for AMD GPUs" FORCE) @@ -149,7 +151,6 @@ add_executable(${PROJECT_NAME} target_sources(${PROJECT_NAME} PRIVATE src/main.cc ) - # --- json_handling --- target_sources(${PROJECT_NAME} PRIVATE src/services/curated_data/curated_json_data_service.cc @@ -224,11 +225,6 @@ target_sources(${PROJECT_NAME} PRIVATE src/services/enrichment/wikipedia/get_summary.cc ) -# --- services: postal_code --- -target_sources(${PROJECT_NAME} PRIVATE - src/services/postal_code/xeger_postal_code_service.cc -) - # --- services: xeger --- target_sources(${PROJECT_NAME} PRIVATE src/services/xeger/xeger.cc diff --git a/tooling/pipeline/includes/biergarten_pipeline.h b/tooling/pipeline/includes/biergarten_pipeline.h index 74cd93f7..fd7f293f 100644 --- a/tooling/pipeline/includes/biergarten_pipeline.h +++ b/tooling/pipeline/includes/biergarten_pipeline.h @@ -61,10 +61,7 @@ #include "services/enrichment/mock_enrichment.h" #include "services/enrichment/wikipedia_service.h" -// --- services: postal_code --- -#include "services/postal_code/mock_postal_code_service.h" -#include "services/postal_code/postal_code_service.h" -#include "services/postal_code/xeger_postal_code_service.h" +// --- services: xeger --- #include "services/xeger/xeger.h" // --- services: logging --- diff --git a/tooling/pipeline/includes/biergarten_pipeline_orchestrator.h b/tooling/pipeline/includes/biergarten_pipeline_orchestrator.h index ff0f7210..a99acd82 100644 --- a/tooling/pipeline/includes/biergarten_pipeline_orchestrator.h +++ b/tooling/pipeline/includes/biergarten_pipeline_orchestrator.h @@ -16,7 +16,6 @@ #include "services/database/export_service.h" #include "services/enrichment/enrichment_service.h" #include "services/logging/logger.h" -#include "services/postal_code/postal_code_service.h" /** * @brief Main orchestrator for the Biergarten data generation pipeline. @@ -35,8 +34,6 @@ class BiergartenPipelineOrchestrator { * @param exporter Database backend for persisting generated records. * @param curated_data_service Loads curated location, persona, and name * data used to seed generation. - * @param postal_code_service Resolves a postal code for a city from its - * curated postal-code data. * @param application_options CLI configuration and paths. */ BiergartenPipelineOrchestrator( @@ -45,7 +42,6 @@ class BiergartenPipelineOrchestrator { std::unique_ptr generator, std::unique_ptr exporter, std::unique_ptr curated_data_service, - std::unique_ptr postal_code_service, const ApplicationOptions& application_options); /** @@ -82,7 +78,6 @@ class BiergartenPipelineOrchestrator { */ std::unique_ptr exporter_; std::unique_ptr curated_data_service_; - std::unique_ptr postal_code_service_; ApplicationOptions application_options_; diff --git a/tooling/pipeline/includes/biergarten_pipeline_orchestrator/coords.h b/tooling/pipeline/includes/biergarten_pipeline_orchestrator/coords.h new file mode 100644 index 00000000..9c21d26e --- /dev/null +++ b/tooling/pipeline/includes/biergarten_pipeline_orchestrator/coords.h @@ -0,0 +1,58 @@ +#ifndef BIERGARTEN_PIPELINE_INCLUDES_BIERGARTEN_PIPELINE_ORCHESTRATOR_COORDS_H_ +#define BIERGARTEN_PIPELINE_INCLUDES_BIERGARTEN_PIPELINE_ORCHESTRATOR_COORDS_H_ + +/** + * @file biergarten_pipeline_orchestrator/coords.h + * @brief Shared coordinate jitter helper used to place generated + * brewery/user addresses near a city's centre. + */ + +#include +#include +#include + +namespace biergarten_pipeline_orchestrator_internal { + +struct Coords { + double longitude; + double latitude; +}; + +inline constexpr double kEarthRadiusKm = 6371.0; + +inline double DegreesToRadians(double degrees) { + return degrees * std::numbers::pi / 180.0; +} + +inline double RadiansToDegrees(double radians) { + return radians * 180.0 / std::numbers::pi; +} + +/** + * @brief Samples a point uniformly at random within @p distance_km of + * @p centre. + */ +inline Coords GetRandomCoordsWithinRange(const Coords& centre, + const int distance_km, + std::mt19937& rng) { + std::uniform_real_distribution angle_dist(0.0, + 2.0 * std::numbers::pi); + std::uniform_real_distribution unit_dist(0.0, 1.0); + + const double angle_radians = angle_dist(rng); + // sqrt() keeps points uniformly distributed over the disc's area. + const double radius_km = distance_km * std::sqrt(unit_dist(rng)); + + const double delta_latitude_degrees = + RadiansToDegrees(radius_km * std::cos(angle_radians) / kEarthRadiusKm); + const double delta_longitude_degrees = RadiansToDegrees( + radius_km * std::sin(angle_radians) / + (kEarthRadiusKm * std::cos(DegreesToRadians(centre.latitude)))); + + return Coords{.longitude = centre.longitude + delta_longitude_degrees, + .latitude = centre.latitude + delta_latitude_degrees}; +} + +} // namespace biergarten_pipeline_orchestrator_internal + +#endif // BIERGARTEN_PIPELINE_INCLUDES_BIERGARTEN_PIPELINE_ORCHESTRATOR_COORDS_H_ diff --git a/tooling/pipeline/includes/data_generation/generation_json_validation.h b/tooling/pipeline/includes/data_generation/generation_json_validation.h index 5f7f099a..125f665c 100644 --- a/tooling/pipeline/includes/data_generation/generation_json_validation.h +++ b/tooling/pipeline/includes/data_generation/generation_json_validation.h @@ -3,9 +3,9 @@ /** * @file data_generation/generation_json_validation.h - * @brief Generator-agnostic helpers for preparing prompt context and - * validating structured JSON output. Shared across all DataGenerator - * implementations (Llama, OpenAI, ...). + * @brief Generator-agnostic helpers, shared across all DataGenerator + * implementations (Llama, OpenAI, ...), for preparing prompt context and + * validating structured JSON output. */ #include @@ -36,11 +36,9 @@ std::optional ValidateBreweryJson(const std::string& raw, BreweryResult& brewery_out); /** - * @brief Validates and parses user JSON output. - * - * Only populates `username`, `bio`, and `activity_weight` -- `first_name` - * and `last_name` are not LLM-authored and are set separately from the - * sampled Name. + * @brief Validates and parses user JSON output, populating only + * `username`, `bio`, and `activity_weight` (`first_name` and `last_name` + * come from the sampled Name). * * @param raw Raw model output. * @param user_out Parsed user payload. diff --git a/tooling/pipeline/includes/data_generation/openai_generator.h b/tooling/pipeline/includes/data_generation/openai_generator.h index 27f759cc..e54c3cf4 100644 --- a/tooling/pipeline/includes/data_generation/openai_generator.h +++ b/tooling/pipeline/includes/data_generation/openai_generator.h @@ -18,13 +18,9 @@ /** * @brief Data generator implementation backed by the OpenAI Chat - * Completions API. - * - * Unlike LlamaGenerator, this generator has no local model state and no - * chat-template formatting step -- Chat Completions takes system/user - * messages directly, and Structured Outputs (response_format: json_schema, - * strict: true) guarantee schema-valid JSON, replacing llama.cpp's GBNF - * grammar constraint. + * Completions API, sending system/user messages directly and using + * Structured Outputs (response_format: json_schema, strict: true) to + * guarantee schema-valid JSON. */ class OpenAIGenerator final : public DataGenerator { public: diff --git a/tooling/pipeline/includes/data_generation/openai_json_schemas.h b/tooling/pipeline/includes/data_generation/openai_json_schemas.h index 8cc8f31c..4dcd50c8 100644 --- a/tooling/pipeline/includes/data_generation/openai_json_schemas.h +++ b/tooling/pipeline/includes/data_generation/openai_json_schemas.h @@ -4,14 +4,9 @@ /** * @file data_generation/openai_json_schemas.h * @brief JSON Schemas constraining structured output from OpenAIGenerator - * Chat Completions requests, via response_format.json_schema (Structured - * Outputs, strict mode). This is OpenAI's equivalent of the GBNF grammars - * in json_grammars.h -- the API guarantees the response message content is - * a single JSON string that validates against the schema, so there's no - * grammar-level "thought-block" prefix to account for. - * - * OpenAI's strict mode requires "additionalProperties": false on every - * object in the schema, which these already have. + * Chat Completions requests via response_format.json_schema (Structured + * Outputs, strict mode), each setting "additionalProperties": false as + * strict mode requires. */ #include diff --git a/tooling/pipeline/includes/data_model/generated_models.h b/tooling/pipeline/includes/data_model/generated_models.h index 89b2cc9d..2e636b7b 100644 --- a/tooling/pipeline/includes/data_model/generated_models.h +++ b/tooling/pipeline/includes/data_model/generated_models.h @@ -88,23 +88,23 @@ struct EnrichedCity { }; /** - * @brief A physical address: the city plus a concrete postal code selected - * from that city's curated postal-code examples. + * @brief A physical address: the city plus a coordinate pair sampled near + * the city's centre. */ struct BreweryAddress { City city; - std::string postal_code{}; double longitude{}; double latitude{}; }; /** - * @brief A physical address for a generated user: the city plus a concrete - * postal code selected from that city's curated postal-code examples. + * @brief A physical address for a generated user: the city plus a + * coordinate pair sampled near the city's centre. */ struct UserAddress { City city; - std::string postal_code{}; + double longitude{}; + double latitude{}; }; /** diff --git a/tooling/pipeline/includes/services/database/sqlite_statement_helpers.h b/tooling/pipeline/includes/services/database/sqlite_statement_helpers.h index 8b7a2507..a86d2a8f 100644 --- a/tooling/pipeline/includes/services/database/sqlite_statement_helpers.h +++ b/tooling/pipeline/includes/services/database/sqlite_statement_helpers.h @@ -54,7 +54,6 @@ CREATE TABLE IF NOT EXISTS brewery_addresses ( id INTEGER PRIMARY KEY AUTOINCREMENT, brewery_id INTEGER NOT NULL, city_id INTEGER NOT NULL, - postal_code TEXT NOT NULL, longitude REAL NOT NULL, latitude REAL NOT NULL, FOREIGN KEY(brewery_id) REFERENCES breweries(id) ON DELETE CASCADE, @@ -90,7 +89,8 @@ CREATE TABLE IF NOT EXISTS user_addresses ( id INTEGER PRIMARY KEY AUTOINCREMENT, user_id INTEGER NOT NULL, city_id INTEGER NOT NULL, - postal_code TEXT NOT NULL, + longitude REAL NOT NULL, + latitude REAL NOT NULL, FOREIGN KEY(user_id) REFERENCES users(id) ON DELETE CASCADE, FOREIGN KEY(city_id) REFERENCES cities(id) ON DELETE CASCADE ); @@ -130,10 +130,9 @@ inline constexpr std::string_view kInsertBreweryAddressSql = R"sql( INSERT INTO brewery_addresses ( brewery_id, city_id, - postal_code, longitude, latitude -) VALUES (?, ?, ?, ?, ?); +) VALUES (?, ?, ?, ?); )sql"; inline constexpr std::string_view kInsertUserSql = R"sql( @@ -153,8 +152,9 @@ inline constexpr std::string_view kInsertUserAddressSql = R"sql( INSERT INTO user_addresses ( user_id, city_id, - postal_code -) VALUES (?, ?, ?); + longitude, + latitude +) VALUES (?, ?, ?, ?); )sql"; // sqlite3_bind_*() parameter indices are 1-based, matching the "?" @@ -182,7 +182,6 @@ enum BreweryBindIndex { enum BreweryAddressBindIndex { kBreweryAddressBreweryIdBindIndex = 1, kBreweryAddressCityIdBindIndex, - kBreweryAddressPostalCodeBindIndex, kBreweryAddressLongitudeBindIndex, kBreweryAddressLatitudeBindIndex, }; @@ -201,7 +200,8 @@ enum UserBindIndex { enum UserAddressBindIndex { kUserAddressUserIdBindIndex = 1, kUserAddressCityIdBindIndex, - kUserAddressPostalCodeBindIndex, + kUserAddressLongitudeBindIndex, + kUserAddressLatitudeBindIndex, }; SqliteStatementHandle PrepareStatement(const SqliteDatabaseHandle& db_handle, diff --git a/tooling/pipeline/includes/services/postal_code/mock_postal_code_service.h b/tooling/pipeline/includes/services/postal_code/mock_postal_code_service.h deleted file mode 100644 index 5c23e334..00000000 --- a/tooling/pipeline/includes/services/postal_code/mock_postal_code_service.h +++ /dev/null @@ -1,80 +0,0 @@ -#ifndef BIERGARTEN_PIPELINE_INCLUDES_SERVICES_POSTAL_CODE_MOCK_POSTAL_CODE_SERVICE_H_ -#define BIERGARTEN_PIPELINE_INCLUDES_SERVICES_POSTAL_CODE_MOCK_POSTAL_CODE_SERVICE_H_ - -/** - * @file services/postal_code/mock_postal_code_service.h - * @brief Data-driven postal code service that selects the first curated - * example for a city and validates it against the city's postal-code regex. - */ - -#include -#include -#include -#include - -#include "services/postal_code/postal_code_service.h" - -/** - * @brief Postal code service backed entirely by the curated locations - * dataset: it returns the city's first example postal code after checking it - * against the curated postal-code regex. - * - * A precise city regex is preferred when present; otherwise the permissive - * country format regex is used as the fallback. A city with no examples, or an - * example that fails validation, throws so the caller can skip the city. - */ -class MockPostalCodeService final : public IPostalCodeService { - public: - std::string GeneratePostalCode(const City& city) override { - const PostalCodeSpec& spec = city.postal_code; - - if (spec.examples.empty()) { - throw std::runtime_error(std::format( - "No postal-code examples available for city '{}'", city.city)); - } - - const std::string& candidate = spec.examples.front(); - - if (!MatchesAnyPattern(candidate, spec)) { - throw std::runtime_error( - std::format("Postal code '{}' for city '{}' does not match the " - "curated postal-code regex", - candidate, city.city)); - } - - return candidate; - } - - private: - /** - * @brief Returns true if @p candidate matches any city regex, or the - * country format regex when no city regex matches. When the spec carries no - * usable regex at all, validation is skipped (returns true). - */ - static bool MatchesAnyPattern(const std::string& candidate, - const PostalCodeSpec& spec) { - bool has_pattern = false; - - for (const std::string& pattern : spec.city_regexes) { - if (pattern.empty()) { - continue; - } - has_pattern = true; - if (std::regex_match(candidate, std::regex(pattern))) { - return true; - } - } - - if (!spec.country_format_regex.empty()) { - has_pattern = true; - if (std::regex_match(candidate, - std::regex(spec.country_format_regex))) { - return true; - } - } - - return !has_pattern; - } -}; - -#endif // BIERGARTEN_PIPELINE_INCLUDES_SERVICES_POSTAL_CODE_MOCK_POSTAL_CODE_SERVICE_H_ diff --git a/tooling/pipeline/includes/services/postal_code/postal_code_service.h b/tooling/pipeline/includes/services/postal_code/postal_code_service.h deleted file mode 100644 index c040c4a7..00000000 --- a/tooling/pipeline/includes/services/postal_code/postal_code_service.h +++ /dev/null @@ -1,35 +0,0 @@ -#ifndef BIERGARTEN_PIPELINE_INCLUDES_SERVICES_POSTAL_CODE_POSTAL_CODE_SERVICE_H_ -#define BIERGARTEN_PIPELINE_INCLUDES_SERVICES_POSTAL_CODE_POSTAL_CODE_SERVICE_H_ - -/** - * @file services/postal_code/postal_code_service.h - * @brief Abstraction for resolving a postal code for a city. - */ - -#include - -#include "data_model/models.h" - -/** - * @brief Interface for services that resolve a postal code for a city. - */ -class IPostalCodeService { - public: - IPostalCodeService() = default; - virtual ~IPostalCodeService() = default; - - IPostalCodeService(const IPostalCodeService&) = delete; - IPostalCodeService& operator=(const IPostalCodeService&) = delete; - IPostalCodeService(IPostalCodeService&&) = delete; - IPostalCodeService& operator=(IPostalCodeService&&) = delete; - - /** - * @brief Resolves a postal code for @p city. - * - * @param city City whose curated postal-code examples supply the result. - * @return A postal code string, or an empty string if none is available. - */ - virtual std::string GeneratePostalCode(const City& city) = 0; -}; - -#endif // BIERGARTEN_PIPELINE_INCLUDES_SERVICES_POSTAL_CODE_POSTAL_CODE_SERVICE_H_ diff --git a/tooling/pipeline/includes/services/postal_code/xeger_postal_code_service.h b/tooling/pipeline/includes/services/postal_code/xeger_postal_code_service.h deleted file mode 100644 index 04f17d62..00000000 --- a/tooling/pipeline/includes/services/postal_code/xeger_postal_code_service.h +++ /dev/null @@ -1,32 +0,0 @@ -#ifndef BIERGARTEN_PIPELINE_INCLUDES_SERVICES_POSTAL_CODE_XEGER_POSTAL_CODE_SERVICE_H_ -#define BIERGARTEN_PIPELINE_INCLUDES_SERVICES_POSTAL_CODE_XEGER_POSTAL_CODE_SERVICE_H_ - -/** - * @file services/postal_code/xeger_postal_code_service.h - * @brief Postal code service that generates a fresh, format-conformant code - * per call from the curated regex patterns, instead of returning a fixed - * example. - */ - -#include - -#include "services/postal_code/postal_code_service.h" - -/** - * @brief Postal code service using regex-driven generation (xeger). - * - * Picks among the city's curated `city_regexes` (falls back to - * `country_format_regex`), then generates a random string matching that pattern - * via GenerateStringFromRegex(). - */ -class XegerPostalCodeService final : public IPostalCodeService { - public: - XegerPostalCodeService(); - - std::string GeneratePostalCode(const City& city) override; - - private: - std::mt19937 rng_; -}; - -#endif // BIERGARTEN_PIPELINE_INCLUDES_SERVICES_POSTAL_CODE_XEGER_POSTAL_CODE_SERVICE_H_ diff --git a/tooling/pipeline/locations.json b/tooling/pipeline/locations.json index e0d37e51..07d0c915 100644 --- a/tooling/pipeline/locations.json +++ b/tooling/pipeline/locations.json @@ -1,1910 +1,2622 @@ -[ - { - "city": "Cape Town", - "state_province": "Western Cape", - "iso3166_2": "ZA-WC", - "country": "South Africa", - "iso3166_1": "ZA", - "latitude": -33.9249, - "longitude": 18.4241, - "local_languages": ["af", "en", "xh"], - "postal_code": { - "country_format_regex": "^\\d{4}$", - "city_regex": [ - "^(?:7(?:10[03]|4(?:[26][05]|0[04-7]|3[05-79]|4[0-4679]|5[0156]|8[09]|9[0139])|5(?:[56][01]|0[013-7]|25|3[0235-9]|40|8[12])|7(?:[23]5|0[058]|4[05]|5[0-256]|6[02-4679]|7[09]|8[02-9]|9[08])|8(?:[26]4|0[0-2568]|48|72|8[08])|9(?:[12]5|[59]0|3[57]|4[156]|6[56]|7[4-9]))|8(?:0(?:[246]0|0[0-3578]|1[0278]|5[01])|160))$" +{ + "cities": [ + { + "city": "Cape Town", + "state_province": "Western Cape", + "iso3166_2": "ZA-WC", + "country": "South Africa", + "iso3166_1": "ZA", + "latitude": -33.9249, + "longitude": 18.4241, + "local_languages": [ + "af", + "en", + "xh" ], - "examples": ["7100", "7103", "7400"], - "source": "derived from GeoNames postal data (radius, r=25km)", - "codes_matched": 135, - "notes": "Cape Town metro spans roughly 7000-8099; 7xxx also covers parts of the wider Western Cape. Enumerated from 135 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Johannesburg", - "state_province": "Gauteng", - "iso3166_2": "ZA-GT", - "country": "South Africa", - "iso3166_1": "ZA", - "latitude": -26.2041, - "longitude": 28.0473, - "local_languages": ["en", "zu", "st", "af"], - "postal_code": { - "country_format_regex": "^\\d{4}$", - "city_regex": [ - "^(?:1(?:7(?:0[08]|1[1256])|8(?:0[13-9]|1[14-689]|37|41|5[23]|6[35]))|2(?:0(?:[156]\\d|0[013-9]|2[0-468]|3[0-8]|4[0-47-9]|7[02-46-8]|8[12]|9[0-5])|1(?:[01]\\d|2[0-489]|3[0-24-79]|4[0-57-9]|5[1-9]|6[0-579]|7[01]|8[89]|9[0-8])))$" + "postal_code": { + "country_format_regex": "^\\d{4}$", + "city_regex": [ + "^(?:7(?:10[03]|4(?:[26][05]|0[04-7]|3[05-79]|4[0-4679]|5[0156]|8[09]|9[0139])|5(?:[56][01]|0[013-7]|25|3[0235-9]|40|8[12])|7(?:[23]5|0[058]|4[05]|5[0-256]|6[02-4679]|7[09]|8[02-9]|9[08])|8(?:[26]4|0[0-2568]|48|72|8[08])|9(?:[12]5|[59]0|3[57]|4[156]|6[56]|7[4-9]))|8(?:0(?:[246]0|0[0-3578]|1[0278]|5[01])|160))$" + ], + "examples": [ + "7100", + "7103", + "7400" + ], + "source": "derived from GeoNames postal data (radius, r=25km)", + "codes_matched": 135, + "notes": "Cape Town metro spans roughly 7000-8099; 7xxx also covers parts of the wider Western Cape. Enumerated from 135 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Johannesburg", + "state_province": "Gauteng", + "iso3166_2": "ZA-GT", + "country": "South Africa", + "iso3166_1": "ZA", + "latitude": -26.2041, + "longitude": 28.0473, + "local_languages": [ + "en", + "zu", + "st", + "af" ], - "examples": ["1700", "1708", "1711"], - "source": "derived from GeoNames postal data (radius, r=18km)", - "codes_matched": 178, - "notes": "Johannesburg street codes cluster in 2000-2199; PO Box codes differ. Enumerated from 178 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Durban", - "state_province": "KwaZulu-Natal", - "iso3166_2": "ZA-NL", - "country": "South Africa", - "iso3166_1": "ZA", - "latitude": -29.8587, - "longitude": 31.0218, - "local_languages": ["zu", "en"], - "postal_code": { - "country_format_regex": "^\\d{4}$", - "city_regex": [ - "^(?:36(?:0[02-57-9]|1[0-7]|2[014-69]|3[0145]|5[0-25])|4(?:0(?:0[014-8]|1[13-9]|2[1-9]|3[124-9]|5[0-36-9]|6\\d|7[0-24589]|8[023589]|9[0-48])|1(?:0[149]|1[0135]|3[378]|4[48]|53)|3(?:[02]1|10|5[09]|6[0-24])))$" + "postal_code": { + "country_format_regex": "^\\d{4}$", + "city_regex": [ + "^(?:1(?:7(?:0[08]|1[1256])|8(?:0[13-9]|1[14-689]|37|41|5[23]|6[35]))|2(?:0(?:[156]\\d|0[013-9]|2[0-468]|3[0-8]|4[0-47-9]|7[02-46-8]|8[12]|9[0-5])|1(?:[01]\\d|2[0-489]|3[0-24-79]|4[0-57-9]|5[1-9]|6[0-579]|7[01]|8[89]|9[0-8])))$" + ], + "examples": [ + "1700", + "1708", + "1711" + ], + "source": "derived from GeoNames postal data (radius, r=18km)", + "codes_matched": 178, + "notes": "Johannesburg street codes cluster in 2000-2199; PO Box codes differ. Enumerated from 178 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Durban", + "state_province": "KwaZulu-Natal", + "iso3166_2": "ZA-NL", + "country": "South Africa", + "iso3166_1": "ZA", + "latitude": -29.8587, + "longitude": 31.0218, + "local_languages": [ + "zu", + "en" ], - "examples": ["3600", "3602", "3603"], - "source": "derived from GeoNames postal data (radius, r=20km)", - "codes_matched": 121, - "notes": "eThekwini/Durban street codes cluster in 4000-4199. Enumerated from 121 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Franschhoek", - "state_province": "Western Cape", - "iso3166_2": "ZA-WC", - "country": "South Africa", - "iso3166_1": "ZA", - "latitude": -33.9146, - "longitude": 19.1198, - "local_languages": ["af", "en"], - "postal_code": { - "country_format_regex": "^\\d{4}$", - "city_regex": ["^769[01]$"], - "examples": ["7690", "7691"], - "source": "derived from GeoNames postal data (name, r=15km)", - "codes_matched": 2, - "notes": "Single town code. Enumerated from 2 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Nairobi", - "state_province": "Nairobi", - "iso3166_2": "KE-30", - "country": "Kenya", - "iso3166_1": "KE", - "latitude": -1.2921, - "longitude": 36.8219, - "local_languages": ["sw", "en"], - "postal_code": { - "country_format_regex": "^\\d{5}$", - "city_regex": [ - "^00(?:[348]00|10[0-2]|2(?:1[03-69]|3[013569])|5(?:0\\d|1[0-35-9]|2[0-3])|6(?:0[013-79]|1[0-589]|2[0-35-7])|90[02356])$" + "postal_code": { + "country_format_regex": "^\\d{4}$", + "city_regex": [ + "^(?:36(?:0[02-57-9]|1[0-7]|2[014-69]|3[0145]|5[0-25])|4(?:0(?:0[014-8]|1[13-9]|2[1-9]|3[124-9]|5[0-36-9]|6\\d|7[0-24589]|8[023589]|9[0-48])|1(?:0[149]|1[0135]|3[378]|4[48]|53)|3(?:[02]1|10|5[09]|6[0-24])))$" + ], + "examples": [ + "3600", + "3602", + "3603" + ], + "source": "derived from GeoNames postal data (radius, r=20km)", + "codes_matched": 121, + "notes": "eThekwini/Durban street codes cluster in 4000-4199. Enumerated from 121 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Franschhoek", + "state_province": "Western Cape", + "iso3166_2": "ZA-WC", + "country": "South Africa", + "iso3166_1": "ZA", + "latitude": -33.9146, + "longitude": 19.1198, + "local_languages": [ + "af", + "en" ], - "examples": ["00100", "00101", "00102"], - "source": "derived from GeoNames postal data (radius, r=20km)", - "codes_matched": 69, - "notes": "All Nairobi County codes begin 00; GPO is 00100. Range 00100-00999. Enumerated from 69 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Buenos Aires", - "state_province": "Buenos Aires City", - "iso3166_2": "AR-C", - "country": "Argentina", - "iso3166_1": "AR", - "latitude": -34.6037, - "longitude": -58.3816, - "local_languages": ["es-AR"], - "postal_code": { - "country_format_regex": "^(?:[A-HJ-NP-TV-Z]\\d{4}[A-Z]{3}|\\d{4})$", - "city_regex": ["^C1[0-4]\\d{2}[A-Z]{3}$", "^1[0-4]\\d{2}$"], - "examples": ["C1425DKE", "1425"], - "source": "researched (no usable open dataset)", - "codes_matched": null, - "notes": "CABA uses CPA prefix 'C'. Legacy 4-digit form 1000-1499 still widely accepted." - } - }, - { - "city": "Bariloche", - "state_province": "Río Negro", - "iso3166_2": "AR-R", - "country": "Argentina", - "iso3166_1": "AR", - "latitude": -41.1335, - "longitude": -71.3103, - "local_languages": ["es-AR"], - "postal_code": { - "country_format_regex": "^(?:[A-HJ-NP-TV-Z]\\d{4}[A-Z]{3}|\\d{4})$", - "city_regex": ["^840[09]$"], - "examples": ["8400", "8409"], - "source": "derived from GeoNames postal data (sub, r=25km)", - "codes_matched": 2, - "notes": "San Carlos de Bariloche legacy code 8400; CPA prefix 'R' (Rio Negro). Enumerated from 2 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Bogotá", - "state_province": "Bogotá D.C.", - "iso3166_2": "CO-DC", - "country": "Colombia", - "iso3166_1": "CO", - "latitude": 4.711, - "longitude": -74.0721, - "local_languages": ["es-CO"], - "postal_code": { - "country_format_regex": "^\\d{6}$", - "city_regex": [ - "^11(?:0(?:[29][1-3]1|[36][12]1|[47][1-4]1|1[1-5]1|8[1-8]1)|1(?:[457]11|[23][12]1|[89][1-4]1|0[1-7]1|1(?:[1-4]1|[5-7][16])|6[1-3]1))$" + "postal_code": { + "country_format_regex": "^\\d{4}$", + "city_regex": [ + "^769[01]$" + ], + "examples": [ + "7690", + "7691" + ], + "source": "derived from GeoNames postal data (name, r=15km)", + "codes_matched": 2, + "notes": "Single town code. Enumerated from 2 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Nairobi", + "state_province": "Nairobi", + "iso3166_2": "KE-30", + "country": "Kenya", + "iso3166_1": "KE", + "latitude": -1.2921, + "longitude": 36.8219, + "local_languages": [ + "sw", + "en" ], - "examples": ["110111", "110121", "110131"], - "source": "derived from GeoNames postal data (radius, r=20km)", - "codes_matched": 66, - "notes": "Bogota D.C. = DANE department code 11. Enumerated from 66 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Medellín", - "state_province": "Antioquia", - "iso3166_2": "CO-ANT", - "country": "Colombia", - "iso3166_1": "CO", - "latitude": 6.2442, - "longitude": -75.5812, - "local_languages": ["es-CO"], - "postal_code": { - "country_format_regex": "^\\d{6}$", - "city_regex": ["^0500(?:0[1-7]|1[0-8]|2\\d|3[0-7]|4[0-478])$"], - "examples": ["050001", "050002", "050003"], - "source": "derived from GeoNames postal data (name, r=25km)", - "codes_matched": 41, - "notes": "Antioquia = 05; Medellin zone = 050xxx. Wider metro uses 051xxx-055xxx. Enumerated from 41 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "São Paulo", - "state_province": "São Paulo", - "iso3166_2": "BR-SP", - "country": "Brazil", - "iso3166_1": "BR", - "latitude": -23.5505, - "longitude": -46.6333, - "local_languages": ["pt-BR"], - "postal_code": { - "country_format_regex": "^\\d{5}-?\\d{3}$", - "city_regex": ["^0[1-5]\\d{3}-?\\d{3}$", "^08[0-4]\\d{2}-?\\d{3}$"], - "examples": ["01310-100"], - "source": "researched (no usable open dataset)", - "codes_matched": null, - "notes": "Sao Paulo city CEP: 01000-000 to 05999-999, plus 08000-000 to 08499-999." - } - }, - { - "city": "Curitiba", - "state_province": "Paraná", - "iso3166_2": "BR-PR", - "country": "Brazil", - "iso3166_1": "BR", - "latitude": -25.4284, - "longitude": -49.2733, - "local_languages": ["pt-BR"], - "postal_code": { - "country_format_regex": "^\\d{5}-?\\d{3}$", - "city_regex": ["^8[0-2]\\d{3}-?\\d{3}$"], - "examples": ["80010-010"], - "source": "researched (no usable open dataset)", - "codes_matched": null, - "notes": "Curitiba CEP: 80000-000 to 82999-999." - } - }, - { - "city": "Rio de Janeiro", - "state_province": "Rio de Janeiro", - "iso3166_2": "BR-RJ", - "country": "Brazil", - "iso3166_1": "BR", - "latitude": -22.9068, - "longitude": -43.1729, - "local_languages": ["pt-BR"], - "postal_code": { - "country_format_regex": "^\\d{5}-?\\d{3}$", - "city_regex": ["^(?:2[0-2]\\d{3}|23[0-7]\\d{2})-?\\d{3}$"], - "examples": ["20040-020"], - "source": "researched (no usable open dataset)", - "codes_matched": null, - "notes": "Rio city CEP: 20000-000 to 23799-999." - } - }, - { - "city": "Santiago", - "state_province": "Santiago Metropolitan", - "iso3166_2": "CL-RM", - "country": "Chile", - "iso3166_1": "CL", - "latitude": -33.4489, - "longitude": -70.6693, - "local_languages": ["es-CL"], - "postal_code": { - "country_format_regex": "^\\d{7}$", - "city_regex": [ - "^(?:7(?:5[05]|63|75|8[15]|9[17])|8(?:[26]4|[48][26]|[59][048]|01|3[28]|7[08])|9(?:0[28]|1[26]|2[05]))\\d{4}$" + "postal_code": { + "country_format_regex": "^\\d{5}$", + "city_regex": [ + "^00(?:[348]00|10[0-2]|2(?:1[03-69]|3[013569])|5(?:0\\d|1[0-35-9]|2[0-3])|6(?:0[013-79]|1[0-589]|2[0-35-7])|90[02356])$" + ], + "examples": [ + "00100", + "00101", + "00102" + ], + "source": "derived from GeoNames postal data (radius, r=20km)", + "codes_matched": 69, + "notes": "All Nairobi County codes begin 00; GPO is 00100. Range 00100-00999. Enumerated from 69 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Buenos Aires", + "state_province": "Buenos Aires City", + "iso3166_2": "AR-C", + "country": "Argentina", + "iso3166_1": "AR", + "latitude": -34.6037, + "longitude": -58.3816, + "local_languages": [ + "es-AR" ], - "examples": ["7500000", "7550000", "7630000"], - "source": "derived from GeoNames postal data (radius, r=18km)", - "codes_matched": 31, - "notes": "Santiago Province spans approx. 7500000-9250000; 7xx = eastern communes, 8xx = central. Dataset is commune-level (nnn0000); 3-digit commune prefix + block. Enumerated from 31 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Valdivia", - "state_province": "Los Ríos", - "iso3166_2": "CL-LR", - "country": "Chile", - "iso3166_1": "CL", - "latitude": -39.8142, - "longitude": -73.2459, - "local_languages": ["es-CL"], - "postal_code": { - "country_format_regex": "^\\d{7}$", - "city_regex": ["^509\\d{4}$"], - "examples": ["5090000"], - "source": "derived from GeoNames postal data (sub, r=20km)", - "codes_matched": 1, - "notes": "Los Rios region range approx. 5090000-5230000; Valdivia commune base code 5090000. Dataset is commune-level (nnn0000); 3-digit commune prefix + block. Enumerated from 1 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Lima", - "state_province": "Lima", - "iso3166_2": "PE-LMA", - "country": "Peru", - "iso3166_1": "PE", - "latitude": -12.0464, - "longitude": -77.0428, - "local_languages": ["es-PE"], - "postal_code": { - "country_format_regex": "^\\d{5}$", - "city_regex": [ - "^15(?:0(?:0[1346-9]|1[1289]|2[1-46]|3[346-9]|4[6-9]|5[46-8]|6[3467]|7[2-469]|8[1-46-8]|9[346])|1(?:0[1-36-9]|1[23])|3(?:0[12467]|1[124]|2[6-8]|3[1-3])|4(?:[039][148]|[14][269]|[28][37]|53|79)|8(?:0[13469]|1[126-8]|2[489]|3[1467]|42))$" + "postal_code": { + "country_format_regex": "^(?:[A-HJ-NP-TV-Z]\\d{4}[A-Z]{3}|\\d{4})$", + "city_regex": [ + "^C1[0-4]\\d{2}[A-Z]{3}$", + "^1[0-4]\\d{2}$" + ], + "examples": [ + "C1425DKE", + "1425" + ], + "source": "researched (no usable open dataset)", + "codes_matched": null, + "notes": "CABA uses CPA prefix 'C'. Legacy 4-digit form 1000-1499 still widely accepted." + } + }, + { + "city": "Bariloche", + "state_province": "Río Negro", + "iso3166_2": "AR-R", + "country": "Argentina", + "iso3166_1": "AR", + "latitude": -41.1335, + "longitude": -71.3103, + "local_languages": [ + "es-AR" ], - "examples": ["15001", "15003", "15004"], - "source": "derived from GeoNames postal data (radius, r=20km)", - "codes_matched": 111, - "notes": "Lima Region = prefix 15; metropolitan Lima districts sit in 15001-15099. Callao is 07xxx. Enumerated from 111 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Tokyo", - "state_province": "Tokyo", - "iso3166_2": "JP-13", - "country": "Japan", - "iso3166_1": "JP", - "latitude": 35.6762, - "longitude": 139.6503, - "local_languages": ["ja"], - "postal_code": { - "country_format_regex": "^\\d{3}-?\\d{4}$", - "city_regex": [ - "^(?:1(?:[068]\\d|[14][0-6]|2[013-5]|3[0-24-7]|5[0-8]|7[013-9]|95)|20[1-46])-?\\d{4}$" + "postal_code": { + "country_format_regex": "^(?:[A-HJ-NP-TV-Z]\\d{4}[A-Z]{3}|\\d{4})$", + "city_regex": [ + "^840[09]$" + ], + "examples": [ + "8400", + "8409" + ], + "source": "derived from GeoNames postal data (sub, r=25km)", + "codes_matched": 2, + "notes": "San Carlos de Bariloche legacy code 8400; CPA prefix 'R' (Rio Negro). Enumerated from 2 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Bogotá", + "state_province": "Bogotá D.C.", + "iso3166_2": "CO-DC", + "country": "Colombia", + "iso3166_1": "CO", + "latitude": 4.711, + "longitude": -74.0721, + "local_languages": [ + "es-CO" ], - "examples": ["100-0000", "100-0001", "100-0002"], - "source": "derived from GeoNames postal data (radius, r=20km)", - "codes_matched": 7876, - "notes": "Tokyo Metropolis: 100-xxxx to 208-xxxx. The 23 wards are 100-179. Dataset holds full 7-digit codes; compressed on the 3-digit area prefix. Enumerated from 7876 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Osaka", - "state_province": "Osaka", - "iso3166_2": "JP-27", - "country": "Japan", - "iso3166_1": "JP", - "latitude": 34.6937, - "longitude": 135.5023, - "local_languages": ["ja"], - "postal_code": { - "country_format_regex": "^\\d{3}-?\\d{4}$", - "city_regex": ["^5(?:[35]\\d|4[0-7])-?\\d{4}$"], - "examples": ["530-0000", "530-0001", "530-0002"], - "source": "derived from GeoNames postal data (radius, r=12km)", - "codes_matched": 1440, - "notes": "Osaka City: 530-xxxx to 559-xxxx. Wider Osaka Prefecture is 5xx. Dataset holds full 7-digit codes; compressed on the 3-digit area prefix. Enumerated from 1440 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Kyoto", - "state_province": "Kyoto", - "iso3166_2": "JP-26", - "country": "Japan", - "iso3166_1": "JP", - "latitude": 35.0116, - "longitude": 135.7681, - "local_languages": ["ja"], - "postal_code": { - "country_format_regex": "^\\d{3}-?\\d{4}$", - "city_regex": ["^6(?:0[0-7]|1[0-256])-?\\d{4}$"], - "examples": ["600-0000", "600-8001", "600-8002"], - "source": "derived from GeoNames postal data (radius, r=12km)", - "codes_matched": 4614, - "notes": "Kyoto City: 600-xxxx to 616-xxxx. Dataset holds full 7-digit codes; compressed on the 3-digit area prefix. Enumerated from 4614 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Sapporo", - "state_province": "Hokkaido", - "iso3166_2": "JP-01", - "country": "Japan", - "iso3166_1": "JP", - "latitude": 43.0618, - "longitude": 141.3545, - "local_languages": ["ja"], - "postal_code": { - "country_format_regex": "^\\d{3}-?\\d{4}$", - "city_regex": ["^0(?:0[1-7]|6[0-5])-?\\d{4}$"], - "examples": ["001-0000", "001-0010", "001-0011"], - "source": "derived from GeoNames postal data (radius, r=20km)", - "codes_matched": 1373, - "notes": "Sapporo: 001-xxxx to 007-xxxx (north/west) and 060-xxxx to 065-xxxx (central/east). Dataset holds full 7-digit codes; compressed on the 3-digit area prefix. Enumerated from 1373 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Seoul", - "state_province": "Seoul", - "iso3166_2": "KR-11", - "country": "South Korea", - "iso3166_1": "KR", - "latitude": 37.5665, - "longitude": 126.978, - "local_languages": ["ko"], - "postal_code": { - "country_format_regex": "^\\d{5}$", - "city_regex": [ - "^0(?:1[0-46-9]|2[0-24-8]|3[013-79]|4\\d|5[0-8]|6[0-35-9]|7[02-9]|8[0-35-8])\\d{2}$" + "postal_code": { + "country_format_regex": "^\\d{6}$", + "city_regex": [ + "^11(?:0(?:[29][1-3]1|[36][12]1|[47][1-4]1|1[1-5]1|8[1-8]1)|1(?:[457]11|[23][12]1|[89][1-4]1|0[1-7]1|1(?:[1-4]1|[5-7][16])|6[1-3]1))$" + ], + "examples": [ + "110111", + "110121", + "110131" + ], + "source": "derived from GeoNames postal data (radius, r=20km)", + "codes_matched": 66, + "notes": "Bogota D.C. = DANE department code 11. Enumerated from 66 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Medellín", + "state_province": "Antioquia", + "iso3166_2": "CO-ANT", + "country": "Colombia", + "iso3166_1": "CO", + "latitude": 6.2442, + "longitude": -75.5812, + "local_languages": [ + "es-CO" ], - "examples": ["01000", "01001", "01002"], - "source": "derived from GeoNames postal data (radius, r=18km)", - "codes_matched": 5628, - "notes": "Post-2015 5-digit system: Seoul = 01000-09999. Compressed on the 3-digit prefix. Enumerated from 5628 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Busan", - "state_province": "Busan", - "iso3166_2": "KR-26", - "country": "South Korea", - "iso3166_1": "KR", - "latitude": 35.1796, - "longitude": 129.0756, - "local_languages": ["ko"], - "postal_code": { - "country_format_regex": "^\\d{5}$", - "city_regex": ["^4(?:6[0235-79]|7[0-35-9]|8[0-57-9]|9[0-5])\\d{2}$"], - "examples": ["46002", "46018", "46027"], - "source": "derived from GeoNames postal data (radius, r=18km)", - "codes_matched": 2214, - "notes": "Busan = 46000-49999. Compressed on the 3-digit prefix. Enumerated from 2214 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Ho Chi Minh City", - "state_province": "Ho Chi Minh", - "iso3166_2": "VN-SG", - "country": "Vietnam", - "iso3166_1": "VN", - "latitude": 10.8231, - "longitude": 106.6297, - "local_languages": ["vi"], - "postal_code": { - "country_format_regex": "^\\d{5,6}$", - "city_regex": ["^7[0-4]\\d{3}$", "^7[0-4]\\d{4}$"], - "examples": ["70000", "700000"], - "source": "researched (no usable open dataset)", - "codes_matched": null, - "notes": "Current 5-digit system: HCMC = 70000-74999. Legacy/6-digit form (700000) still appears in some systems." - } - }, - { - "city": "Hanoi", - "state_province": "Hanoi", - "iso3166_2": "VN-HN", - "country": "Vietnam", - "iso3166_1": "VN", - "latitude": 21.0285, - "longitude": 105.8542, - "local_languages": ["vi"], - "postal_code": { - "country_format_regex": "^\\d{5,6}$", - "city_regex": ["^1[0-4]\\d{3}$", "^1[0-4]\\d{4}$"], - "examples": ["10000", "100000"], - "source": "researched (no usable open dataset)", - "codes_matched": null, - "notes": "Hanoi = 10000-14999 (5-digit). Legacy 6-digit form 100000 still in circulation." - } - }, - { - "city": "Da Nang", - "state_province": "Da Nang", - "iso3166_2": "VN-DN", - "country": "Vietnam", - "iso3166_1": "VN", - "latitude": 16.0544, - "longitude": 108.2022, - "local_languages": ["vi"], - "postal_code": { - "country_format_regex": "^\\d{5,6}$", - "city_regex": ["^5[0-5]\\d{3}$", "^5[0-5]\\d{4}$"], - "examples": ["50000", "550000"], - "source": "researched (no usable open dataset)", - "codes_matched": null, - "notes": "Sources conflict: Da Nang is cited as both 50000 and 55000. Pattern accepts 50000-55999 and the 6-digit legacy form." - } - }, - { - "city": "Bangkok", - "state_province": "Bangkok", - "iso3166_2": "TH-10", - "country": "Thailand", - "iso3166_1": "TH", - "latitude": 13.7563, - "longitude": 100.5018, - "local_languages": ["th"], - "postal_code": { - "country_format_regex": "^\\d{5}$", - "city_regex": ["^10(?:[4-8]00|1[0-7]0|2[024-69]0|3[0-3]0)$"], - "examples": ["10100", "10110", "10120"], - "source": "derived from GeoNames postal data (radius, r=20km)", - "codes_matched": 23, - "notes": "Bangkok = province code 10; codes run 10100-10900. Enumerated from 23 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Taipei", - "state_province": "Taipei", - "iso3166_2": "TW-TPE", - "country": "Taiwan", - "iso3166_1": "TW", - "latitude": 25.033, - "longitude": 121.5654, - "local_languages": ["zh-TW"], - "postal_code": { - "country_format_regex": "^\\d{3}(?:\\d{2}|\\d{3})?$", - "city_regex": ["^1(?:0[0-9]|1[0-6])(?:\\d{2}|\\d{3})?$"], - "examples": ["100", "10058", "100013"], - "source": "researched (no usable open dataset)", - "codes_matched": null, - "notes": "Taipei City districts = 100-116. 3-digit is valid alone; 3+2 is legacy, 3+3 is current." - } - }, - { - "city": "Beijing", - "state_province": "Beijing", - "iso3166_2": "CN-BJ", - "country": "China", - "iso3166_1": "CN", - "latitude": 39.9042, - "longitude": 116.4074, - "local_languages": ["zh-CN"], - "postal_code": { - "country_format_regex": "^\\d{6}$", - "city_regex": ["^10[0-2]\\d{3}$"], - "examples": ["100000", "101100", "101200"], - "source": "derived from GeoNames postal data (radius, r=40km)", - "codes_matched": 11, - "notes": "Beijing municipality = 100000-102629. Dataset is city-level; compressed on the 3-digit prefix. Enumerated from 11 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Shanghai", - "state_province": "Shanghai", - "iso3166_2": "CN-SH", - "country": "China", - "iso3166_1": "CN", - "latitude": 31.2304, - "longitude": 121.4737, - "local_languages": ["zh-CN"], - "postal_code": { - "country_format_regex": "^\\d{6}$", - "city_regex": ["^20[0-2]\\d{3}$"], - "examples": ["200000", "201100", "201300"], - "source": "derived from GeoNames postal data (radius, r=40km)", - "codes_matched": 10, - "notes": "Shanghai municipality = 200000-202699. Dataset is city-level; compressed on the 3-digit prefix. Enumerated from 10 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Bengaluru", - "state_province": "Karnataka", - "iso3166_2": "IN-KA", - "country": "India", - "iso3166_1": "IN", - "latitude": 12.9716, - "longitude": 77.5946, - "local_languages": ["kn", "en"], - "postal_code": { - "country_format_regex": "^[1-9]\\d{5}$", - "city_regex": ["^560\\d{3}$"], - "examples": ["560001", "560002", "560003"], - "source": "derived from GeoNames postal data (field)", - "codes_matched": 106, - "notes": "Bengaluru urban PIN codes = 560xxx. Bengaluru Rural uses 561xxx/562xxx. Compressed on the 3-digit pin prefix. Enumerated from 106 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Singapore", - "state_province": "Central Singapore", - "iso3166_2": "SG-01", - "country": "Singapore", - "iso3166_1": "SG", - "latitude": 1.3521, - "longitude": 103.8198, - "local_languages": ["en", "zh", "ms", "ta"], - "postal_code": { - "country_format_regex": "^\\d{6}$", - "city_regex": ["^(?:[1-6]\\d|0[1-9]|7[0-35-9]|8[0-28]|91)\\d{4}$"], - "examples": ["018906", "018907", "018910"], - "source": "derived from GeoNames postal data (radius, r=30km)", - "codes_matched": 121135, - "notes": "Singapore is a single postal district; sectors 01-82 cover the whole island. Compressed on the 2-digit sector prefix. Enumerated from 121135 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Melbourne", - "state_province": "Victoria", - "iso3166_2": "AU-VIC", - "country": "Australia", - "iso3166_1": "AU", - "latitude": -37.8136, - "longitude": 144.9631, - "local_languages": ["en-AU"], - "postal_code": { - "country_format_regex": "^\\d{4}$", - "city_regex": [ - "^(?:3(?:0(?:[45]\\d|0[0-68]|1[0-35689]|2[0-35-9]|3[1-46-9]|6[0-25-8]|7[0-689]|8[1-9]|9[013-5])|1(?:[0248][1-9]|[39][0-4]|1[14]|5[0-2]|6[1-35-9]|7[0-24])|20[24-7]|428|752)|8(?:0(?:0[1-9]|1[0-2]|45|51|6[69]|7[01])|1(?:0[27]|11|20)|205|383|438|511))$" + "postal_code": { + "country_format_regex": "^\\d{6}$", + "city_regex": [ + "^0500(?:0[1-7]|1[0-8]|2\\d|3[0-7]|4[0-478])$" + ], + "examples": [ + "050001", + "050002", + "050003" + ], + "source": "derived from GeoNames postal data (name, r=25km)", + "codes_matched": 41, + "notes": "Antioquia = 05; Medellin zone = 050xxx. Wider metro uses 051xxx-055xxx. Enumerated from 41 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "São Paulo", + "state_province": "São Paulo", + "iso3166_2": "BR-SP", + "country": "Brazil", + "iso3166_1": "BR", + "latitude": -23.5505, + "longitude": -46.6333, + "local_languages": [ + "pt-BR" ], - "examples": ["3000", "3001", "3002"], - "source": "derived from GeoNames postal data (radius, r=25km)", - "codes_matched": 179, - "notes": "Greater Melbourne approx. 3000-3207. Victoria as a whole is 3000-3999. Enumerated from 179 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Sydney", - "state_province": "New South Wales", - "iso3166_2": "AU-NSW", - "country": "Australia", - "iso3166_1": "AU", - "latitude": -33.8688, - "longitude": 151.2093, - "local_languages": ["en-AU"], - "postal_code": { - "country_format_regex": "^\\d{4}$", - "city_regex": [ - "^(?:1(?:0(?:0[1-9]|10|2[0-35-9]|3\\d|4[0-6])|1(?:[2-9]\\d|0[015-9]|1[02-9])|2(?:0[1-3578]|3\\d|40|9[1-9])|3(?:[046]0|14|35|5[05])|4(?:[35][05]|[67][056]|0[15]|19|2[02-9]|4[015]|8[0145]|9[0359])|5(?:[18]5|6[05]|70|9[057])|6(?:[46]0|[78][05]|02|3[059]|5[58])|7(?:[09]0|[15][05]|[78]1|4[01]|65)|8(?:0[05]|1[19]|25|3[015]|60|7[45]|8[58]|91))|2(?:0(?:[2-46]\\d|[79][0-79]|0[0-246-9]|1[0-35-9]|5[0257-9]|8[4-9])|1(?:[1-39]\\d|0[0-49]|4[0-6]|5[0-24]|6[0-35]|7[23])|2(?:0[03-9]|1[0-46-9]|2\\d|3[014])))$" + "postal_code": { + "country_format_regex": "^\\d{5}-?\\d{3}$", + "city_regex": [ + "^0[1-5]\\d{3}-?\\d{3}$", + "^08[0-4]\\d{2}-?\\d{3}$" + ], + "examples": [ + "01310-100" + ], + "source": "researched (no usable open dataset)", + "codes_matched": null, + "notes": "Sao Paulo city CEP: 01000-000 to 05999-999, plus 08000-000 to 08499-999." + } + }, + { + "city": "Curitiba", + "state_province": "Paraná", + "iso3166_2": "BR-PR", + "country": "Brazil", + "iso3166_1": "BR", + "latitude": -25.4284, + "longitude": -49.2733, + "local_languages": [ + "pt-BR" ], - "examples": ["1001", "1002", "1003"], - "source": "derived from GeoNames postal data (radius, r=25km)", - "codes_matched": 424, - "notes": "Sydney metro approx. 2000-2249; 1000-1999 are Sydney PO Box / large-volume codes. Enumerated from 424 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Brisbane", - "state_province": "Queensland", - "iso3166_2": "AU-QLD", - "country": "Australia", - "iso3166_1": "AU", - "latitude": -27.4705, - "longitude": 153.026, - "local_languages": ["en-AU"], - "postal_code": { - "country_format_regex": "^\\d{4}$", - "city_regex": [ - "^(?:4(?:0(?:0\\d|1[0-478]|3[0-24-7]|5[13-59]|6[015-9]|7[02-8])|1(?:[05][1-9]|1\\d|2[0-37]|3[12]|6[0139]|7[0-489]))|90(?:0[0-2579]|1[035]))$" + "postal_code": { + "country_format_regex": "^\\d{5}-?\\d{3}$", + "city_regex": [ + "^8[0-2]\\d{3}-?\\d{3}$" + ], + "examples": [ + "80010-010" + ], + "source": "researched (no usable open dataset)", + "codes_matched": null, + "notes": "Curitiba CEP: 80000-000 to 82999-999." + } + }, + { + "city": "Rio de Janeiro", + "state_province": "Rio de Janeiro", + "iso3166_2": "BR-RJ", + "country": "Brazil", + "iso3166_1": "BR", + "latitude": -22.9068, + "longitude": -43.1729, + "local_languages": [ + "pt-BR" ], - "examples": ["4000", "4001", "4002"], - "source": "derived from GeoNames postal data (radius, r=25km)", - "codes_matched": 99, - "notes": "Greater Brisbane approx. 4000-4207. Enumerated from 99 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Adelaide", - "state_province": "South Australia", - "iso3166_2": "AU-SA", - "country": "Australia", - "iso3166_1": "AU", - "latitude": -34.9285, - "longitude": 138.6007, - "local_languages": ["en-AU"], - "postal_code": { - "country_format_regex": "^\\d{4}$", - "city_regex": [ - "^5(?:0(?:[14]\\d|[68][1-9]|0[015-9]|2[0-5]|3[1-57-9]|5[0-2]|7[0-6]|9[0-8])|1(?:0[6-9]|2[67]|3[1-46-9]|4[0-24]|5[0-24-689]|6[12])|8(?:0[01]|10|39)|9(?:42|50))$" + "postal_code": { + "country_format_regex": "^\\d{5}-?\\d{3}$", + "city_regex": [ + "^(?:2[0-2]\\d{3}|23[0-7]\\d{2})-?\\d{3}$" + ], + "examples": [ + "20040-020" + ], + "source": "researched (no usable open dataset)", + "codes_matched": null, + "notes": "Rio city CEP: 20000-000 to 23799-999." + } + }, + { + "city": "Santiago", + "state_province": "Santiago Metropolitan", + "iso3166_2": "CL-RM", + "country": "Chile", + "iso3166_1": "CL", + "latitude": -33.4489, + "longitude": -70.6693, + "local_languages": [ + "es-CL" ], - "examples": ["5000", "5001", "5005"], - "source": "derived from GeoNames postal data (radius, r=20km)", - "codes_matched": 112, - "notes": "Adelaide metro approx. 5000-5199. Enumerated from 112 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Perth", - "state_province": "Western Australia", - "iso3166_2": "AU-WA", - "country": "Australia", - "iso3166_1": "AU", - "latitude": -31.9505, - "longitude": 115.8605, - "local_languages": ["en-AU"], - "postal_code": { - "country_format_regex": "^\\d{4}$", - "city_regex": [ - "^6(?:0(?:[56]\\d|0[013-9]|1[0-24-9]|2[0-79]|7[0167]|90)|1(?:[05]\\d|10|4[7-9]|6[02-46])|8(?:[79]2|0[039]|17|2[07]|3[0-27-9]|4\\d|50|65)|9(?:[18]\\d|[35][1-9]|0[0-79]|2[0-69]|4[0-7]|6[013-579]|7[09]|9[017]))$" + "postal_code": { + "country_format_regex": "^\\d{7}$", + "city_regex": [ + "^(?:7(?:5[05]|63|75|8[15]|9[17])|8(?:[26]4|[48][26]|[59][048]|01|3[28]|7[08])|9(?:0[28]|1[26]|2[05]))\\d{4}$" + ], + "examples": [ + "7500000", + "7550000", + "7630000" + ], + "source": "derived from GeoNames postal data (radius, r=18km)", + "codes_matched": 31, + "notes": "Santiago Province spans approx. 7500000-9250000; 7xx = eastern communes, 8xx = central. Dataset is commune-level (nnn0000); 3-digit commune prefix + block. Enumerated from 31 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Valdivia", + "state_province": "Los Ríos", + "iso3166_2": "CL-LR", + "country": "Chile", + "iso3166_1": "CL", + "latitude": -39.8142, + "longitude": -73.2459, + "local_languages": [ + "es-CL" ], - "examples": ["6000", "6001", "6003"], - "source": "derived from GeoNames postal data (radius, r=25km)", - "codes_matched": 182, - "notes": "Perth metro approx. 6000-6199. Enumerated from 182 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Hobart", - "state_province": "Tasmania", - "iso3166_2": "AU-TAS", - "country": "Australia", - "iso3166_1": "AU", - "latitude": -42.8821, - "longitude": 147.3272, - "local_languages": ["en-AU"], - "postal_code": { - "country_format_regex": "^\\d{4}$", - "city_regex": ["^7(?:0(?:0[0-24-9]|1[0-25-9]|2[13]|5[0-35])|170)$"], - "examples": ["7000", "7001", "7002"], - "source": "derived from GeoNames postal data (radius, r=15km)", - "codes_matched": 25, - "notes": "Hobart approx. 7000-7099. Enumerated from 25 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Wellington", - "state_province": "Wellington", - "iso3166_2": "NZ-WGN", - "country": "New Zealand", - "iso3166_1": "NZ", - "latitude": -41.2865, - "longitude": 174.7762, - "local_languages": ["en", "mi"], - "postal_code": { - "country_format_regex": "^\\d{4}$", - "city_regex": ["^60(?:1[12]|2[1-3]|3[57])$"], - "examples": ["6011", "6012", "6021"], - "source": "derived from GeoNames postal data (radius, r=12km)", - "codes_matched": 7, - "notes": "Wellington City = 6011-6037. Wider region extends to 5010-5999. Enumerated from 7 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Auckland", - "state_province": "Auckland", - "iso3166_2": "NZ-AUK", - "country": "New Zealand", - "iso3166_1": "NZ", - "latitude": -36.8485, - "longitude": 174.7633, - "local_languages": ["en", "mi"], - "postal_code": { - "country_format_regex": "^\\d{4}$", - "city_regex": [ - "^(?:0(?:6(?:0[024]|1[0248]|2[024679]|3[02]|4[0-5]|5[0-7]|6[0-3])|7(?:4\\d|5[0-8]|82|9[2-4])|8(?:1[04]|20|41|9[12])|9(?:30|43))|1(?:0(?:[47][12]|[56][0-2]|1[01]|2[1-6])|1(?:4[0-57-9]|5[01])|24[56]|3(?:4[024-9]|5[0-2])|44[0356]|54[1-6]|64[0-3]|74[0-6]|84[02])|2(?:0(?:1[02-468]|2[2-5])|1(?:0[2-5]|4[0-79]|5[013-9]|60)|24[0-3]|5(?:7[16]|80)))$" + "postal_code": { + "country_format_regex": "^\\d{7}$", + "city_regex": [ + "^509\\d{4}$" + ], + "examples": [ + "5090000" + ], + "source": "derived from GeoNames postal data (sub, r=20km)", + "codes_matched": 1, + "notes": "Los Rios region range approx. 5090000-5230000; Valdivia commune base code 5090000. Dataset is commune-level (nnn0000); 3-digit commune prefix + block. Enumerated from 1 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Lima", + "state_province": "Lima", + "iso3166_2": "PE-LMA", + "country": "Peru", + "iso3166_1": "PE", + "latitude": -12.0464, + "longitude": -77.0428, + "local_languages": [ + "es-PE" ], - "examples": ["0600", "0602", "0604"], - "source": "derived from GeoNames postal data (radius, r=25km)", - "codes_matched": 169, - "notes": "Auckland is non-contiguous: 0600-0999 (north/west), 1010-1081 (central), 2010-2699 (south). Enumerated from 169 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Christchurch", - "state_province": "Canterbury", - "iso3166_2": "NZ-CAN", - "country": "New Zealand", - "iso3166_1": "NZ", - "latitude": -43.532, - "longitude": 172.6306, - "local_languages": ["en", "mi"], - "postal_code": { - "country_format_regex": "^\\d{4}$", - "city_regex": ["^80(?:[46][12]|[58][1-3]|1[134]|2[2-5])$"], - "examples": ["8011", "8013", "8014"], - "source": "derived from GeoNames postal data (radius, r=15km)", - "codes_matched": 17, - "notes": "Christchurch City = 8011-8062. Canterbury region extends 7600-8999. Enumerated from 17 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Nelson", - "state_province": "Nelson", - "iso3166_2": "NZ-NSN", - "country": "New Zealand", - "iso3166_1": "NZ", - "latitude": -41.2706, - "longitude": 173.284, - "local_languages": ["en", "mi"], - "postal_code": { - "country_format_regex": "^\\d{4}$", - "city_regex": ["^70(?:1[01]|4[0-79])$"], - "examples": ["7010", "7011", "7040"], - "source": "derived from GeoNames postal data (radius, r=10km)", - "codes_matched": 11, - "notes": "Nelson City = 7010-7011 and 7040-7047. Enumerated from 11 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Munich", - "state_province": "Bavaria", - "iso3166_2": "DE-BY", - "country": "Germany", - "iso3166_1": "DE", - "latitude": 48.1351, - "longitude": 11.582, - "local_languages": ["de"], - "postal_code": { - "country_format_regex": "^\\d{5}$", - "city_regex": [ - "^8(?:0(?:33[135-79]|469|53[89]|6(?:3[46-9]|8[679])|79[6-9]|80[1-579]|9(?:3[3579]|9[23579]))|1(?:[89]2[579]|24[1357-9]|3(?:69|7[13579])|47[5-79]|5(?:39|4[13579])|6(?:6[79]|7[13579])|73[579]))$" + "postal_code": { + "country_format_regex": "^\\d{5}$", + "city_regex": [ + "^15(?:0(?:0[1346-9]|1[1289]|2[1-46]|3[346-9]|4[6-9]|5[46-8]|6[3467]|7[2-469]|8[1-46-8]|9[346])|1(?:0[1-36-9]|1[23])|3(?:0[12467]|1[124]|2[6-8]|3[1-3])|4(?:[039][148]|[14][269]|[28][37]|53|79)|8(?:0[13469]|1[126-8]|2[489]|3[1467]|42))$" + ], + "examples": [ + "15001", + "15003", + "15004" + ], + "source": "derived from GeoNames postal data (radius, r=20km)", + "codes_matched": 111, + "notes": "Lima Region = prefix 15; metropolitan Lima districts sit in 15001-15099. Callao is 07xxx. Enumerated from 111 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Tokyo", + "state_province": "Tokyo", + "iso3166_2": "JP-13", + "country": "Japan", + "iso3166_1": "JP", + "latitude": 35.6762, + "longitude": 139.6503, + "local_languages": [ + "ja" ], - "examples": ["80331", "80333", "80335"], - "source": "derived from GeoNames postal data (name, r=20km)", - "codes_matched": 75, - "notes": "Munich = 80331-81929. Enumerated from 75 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Berlin", - "state_province": "Berlin", - "iso3166_2": "DE-BE", - "country": "Germany", - "iso3166_1": "DE", - "latitude": 52.52, - "longitude": 13.405, - "local_languages": ["de"], - "postal_code": { - "country_format_regex": "^\\d{5}$", - "city_regex": [ - "^1(?:0(?:[68]2[3579]|1(?:1[579]|7[89])|3(?:1[57-9]|6[579])|4[03][579]|5(?:5[13579]|8[579])|7(?:[07][79]|[18][13579]))|1011|2(?:0(?:4[3579]|5[13579]|99)|1(?:[06][13579]|5[79])|2(?:[47][79]|0[3579])|3(?:0[579]|4[79]|5[13579])|4(?:3[579]|59|8[79])|5(?:2[4679]|5[579]|8[79])|6(?:[17]9|2[1379]|8[13579]))|3(?:0(?:5[13579]|8[689])|1(?:2[579]|5[689]|8[79])|3(?:4[79]|5[13579])|4(?:[36][579]|0[3579])|5(?:[89][13579]|0[3579])|62[79])|4(?:0(?:5[023579]|89)|1(?:[02]9|[69][3579]|31)))$" + "postal_code": { + "country_format_regex": "^\\d{3}-?\\d{4}$", + "city_regex": [ + "^(?:1(?:[068]\\d|[14][0-6]|2[013-5]|3[0-24-7]|5[0-8]|7[013-9]|95)|20[1-46])-?\\d{4}$" + ], + "examples": [ + "100-0000", + "100-0001", + "100-0002" + ], + "source": "derived from GeoNames postal data (radius, r=20km)", + "codes_matched": 7876, + "notes": "Tokyo Metropolis: 100-xxxx to 208-xxxx. The 23 wards are 100-179. Dataset holds full 7-digit codes; compressed on the 3-digit area prefix. Enumerated from 7876 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Osaka", + "state_province": "Osaka", + "iso3166_2": "JP-27", + "country": "Japan", + "iso3166_1": "JP", + "latitude": 34.6937, + "longitude": 135.5023, + "local_languages": [ + "ja" ], - "examples": ["10115", "10117", "10119"], - "source": "derived from GeoNames postal data (name, r=30km)", - "codes_matched": 182, - "notes": "Berlin = 10115-14199. Enumerated from 182 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Cologne", - "state_province": "North Rhine-Westphalia", - "iso3166_2": "DE-NW", - "country": "Germany", - "iso3166_1": "DE", - "latitude": 50.9375, - "longitude": 6.9603, - "local_languages": ["de"], - "postal_code": { - "country_format_regex": "^\\d{5}$", - "city_regex": [ - "^5(?:0(?:6(?:6[78]|7[0246-9])|7(?:3[3579]|6[579])|8(?:2[3579]|5[89])|9(?:3[13579]|6[89]|9[679]))|1(?:06[13579]|1[04][3579]))$" + "postal_code": { + "country_format_regex": "^\\d{3}-?\\d{4}$", + "city_regex": [ + "^5(?:[35]\\d|4[0-7])-?\\d{4}$" + ], + "examples": [ + "530-0000", + "530-0001", + "530-0002" + ], + "source": "derived from GeoNames postal data (radius, r=12km)", + "codes_matched": 1440, + "notes": "Osaka City: 530-xxxx to 559-xxxx. Wider Osaka Prefecture is 5xx. Dataset holds full 7-digit codes; compressed on the 3-digit area prefix. Enumerated from 1440 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Kyoto", + "state_province": "Kyoto", + "iso3166_2": "JP-26", + "country": "Japan", + "iso3166_1": "JP", + "latitude": 35.0116, + "longitude": 135.7681, + "local_languages": [ + "ja" ], - "examples": ["50667", "50668", "50670"], - "source": "derived from GeoNames postal data (name, r=20km)", - "codes_matched": 45, - "notes": "Cologne = 50667-51149. Enumerated from 45 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Bamberg", - "state_province": "Bavaria", - "iso3166_2": "DE-BY", - "country": "Germany", - "iso3166_1": "DE", - "latitude": 49.8916, - "longitude": 10.8916, - "local_languages": ["de"], - "postal_code": { - "country_format_regex": "^\\d{5}$", - "city_regex": ["^960(?:4[79]|5[02])$"], - "examples": ["96047", "96049", "96050"], - "source": "derived from GeoNames postal data (name, r=15km)", - "codes_matched": 4, - "notes": "Bamberg = 96047-96052. Enumerated from 4 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Brussels", - "state_province": "Brussels-Capital", - "iso3166_2": "BE-BRU", - "country": "Belgium", - "iso3166_1": "BE", - "latitude": 50.8503, - "longitude": 4.3517, - "local_languages": ["fr", "nl"], - "postal_code": { - "country_format_regex": "^\\d{4}$", - "city_regex": ["^1(?:0(?:[02-79]0|8[0-3])|1[2-9]0|2[01]0)$"], - "examples": ["1000", "1020", "1030"], - "source": "derived from GeoNames postal data (radius, r=8km)", - "codes_matched": 22, - "notes": "Brussels-Capital Region = 1000-1210. Enumerated from 22 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Antwerp", - "state_province": "Flanders", - "iso3166_2": "BE-VLG", - "country": "Belgium", - "iso3166_1": "BE", - "latitude": 51.2194, - "longitude": 4.4025, - "local_languages": ["nl"], - "postal_code": { - "country_format_regex": "^\\d{4}$", - "city_regex": ["^20(?:[02-6]0|18)$"], - "examples": ["2000", "2018", "2020"], - "source": "derived from GeoNames postal data (name, r=20km)", - "codes_matched": 7, - "notes": "City of Antwerp = 2000-2660; 2xxx also covers other Antwerp Province towns. Enumerated from 7 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Bruges", - "state_province": "Flanders", - "iso3166_2": "BE-VLG", - "country": "Belgium", - "iso3166_1": "BE", - "latitude": 51.2093, - "longitude": 3.2247, - "local_languages": ["nl"], - "postal_code": { - "country_format_regex": "^\\d{4}$", - "city_regex": ["^8(?:[02]00|3[148]0)$"], - "examples": ["8000", "8200", "8310"], - "source": "derived from GeoNames postal data (radius, r=12km)", - "codes_matched": 5, - "notes": "Bruges uses discrete codes: 8000 (centre), 8200, 8310, 8340, 8380 (submunicipalities). Enumerated from 5 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "London", - "state_province": "England", - "iso3166_2": "GB-ENG", - "country": "United Kingdom", - "iso3166_1": "GB", - "latitude": 51.5074, - "longitude": -0.1278, - "local_languages": ["en-GB"], - "postal_code": { - "country_format_regex": "^[A-Z]{1,2}\\d[A-Z\\d]? ?\\d[A-Z]{2}$", - "city_regex": [ - "^(?:E(?:1W|C(?:[14][AMNRVY]|2[AMNPRVY]|3[AMNPV]))|SW1[EHPV-Y]|W(?:1[B-DF-HJKS-UW]|C(?:1[ABEHNRVX]|2[ABEHNR]))) ?\\d[A-Z]{2}$" + "postal_code": { + "country_format_regex": "^\\d{3}-?\\d{4}$", + "city_regex": [ + "^6(?:0[0-7]|1[0-256])-?\\d{4}$" + ], + "examples": [ + "600-0000", + "600-8001", + "600-8002" + ], + "source": "derived from GeoNames postal data (radius, r=12km)", + "codes_matched": 4614, + "notes": "Kyoto City: 600-xxxx to 616-xxxx. Dataset holds full 7-digit codes; compressed on the 3-digit area prefix. Enumerated from 4614 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Sapporo", + "state_province": "Hokkaido", + "iso3166_2": "JP-01", + "country": "Japan", + "iso3166_1": "JP", + "latitude": 43.0618, + "longitude": 141.3545, + "local_languages": [ + "ja" ], - "examples": ["E1W 1AA", "EC1A 1AA", "EC1M 1AA"], - "source": "derived from GeoNames postal data (name, r=25km)", - "codes_matched": 58, - "notes": "First pattern = inner London postcode areas; second = outer Greater London areas. Dataset is outward-code level; inward code appended. Enumerated from 58 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Bristol", - "state_province": "England", - "iso3166_2": "GB-ENG", - "country": "United Kingdom", - "iso3166_1": "GB", - "latitude": 51.4545, - "longitude": -2.5879, - "local_languages": ["en-GB"], - "postal_code": { - "country_format_regex": "^[A-Z]{1,2}\\d[A-Z\\d]? ?\\d[A-Z]{2}$", - "city_regex": ["^BS(?:[1256]|3[12459]?|4[01]) ?\\d[A-Z]{2}$"], - "examples": ["BS1 1AA", "BS2 1AA", "BS3 1AA"], - "source": "derived from GeoNames postal data (name, r=20km)", - "codes_matched": 12, - "notes": "BS postcode area (also covers parts of North Somerset / South Gloucestershire). Dataset is outward-code level; inward code appended. Enumerated from 12 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Edinburgh", - "state_province": "Scotland", - "iso3166_2": "GB-SCT", - "country": "United Kingdom", - "iso3166_1": "GB", - "latitude": 55.9533, - "longitude": -3.1883, - "local_languages": ["en-GB", "gd"], - "postal_code": { - "country_format_regex": "^[A-Z]{1,2}\\d[A-Z\\d]? ?\\d[A-Z]{2}$", - "city_regex": ["^EH(?:[2-9]|1[12]?) ?\\d[A-Z]{2}$"], - "examples": ["EH1 1AA", "EH11 1AA", "EH12 1AA"], - "source": "derived from GeoNames postal data (name, r=20km)", - "codes_matched": 11, - "notes": "EH postcode area. Dataset is outward-code level; inward code appended. Enumerated from 11 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Glasgow", - "state_province": "Scotland", - "iso3166_2": "GB-SCT", - "country": "United Kingdom", - "iso3166_1": "GB", - "latitude": 55.8642, - "longitude": -4.2518, - "local_languages": ["en-GB", "gd"], - "postal_code": { - "country_format_regex": "^[A-Z]{1,2}\\d[A-Z\\d]? ?\\d[A-Z]{2}$", - "city_regex": ["^G(?:[12][23]?|3[14]?|4[0-24]?|52?) ?\\d[A-Z]{2}$"], - "examples": ["G1 1AA", "G12 1AA", "G13 1AA"], - "source": "derived from GeoNames postal data (name, r=20km)", - "codes_matched": 16, - "notes": "G postcode area. Dataset is outward-code level; inward code appended. Enumerated from 16 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Prague", - "state_province": "Prague", - "iso3166_2": "CZ-10", - "country": "Czechia", - "iso3166_1": "CZ", - "latitude": 50.0755, - "longitude": 14.4378, - "local_languages": ["cs"], - "postal_code": { - "country_format_regex": "^\\d{3} ?\\d{2}$", - "city_regex": [ - "^1(?:0[0-246-9]\\ 00|1[089]\\ 00|2[08]\\ 00|30\\ 00|4[0-37-9]\\ 00|5(?:[02489]\\ 00|5\\ (?:[23]1|00))|6[0-59]\\ 00|7[01]\\ 00|8[0-246]\\ 00|9(?:[3689]\\ 00|0\\ (?:00|1[1257])))$" + "postal_code": { + "country_format_regex": "^\\d{3}-?\\d{4}$", + "city_regex": [ + "^0(?:0[1-7]|6[0-5])-?\\d{4}$" + ], + "examples": [ + "001-0000", + "001-0010", + "001-0011" + ], + "source": "derived from GeoNames postal data (radius, r=20km)", + "codes_matched": 1373, + "notes": "Sapporo: 001-xxxx to 007-xxxx (north/west) and 060-xxxx to 065-xxxx (central/east). Dataset holds full 7-digit codes; compressed on the 3-digit area prefix. Enumerated from 1373 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Seoul", + "state_province": "Seoul", + "iso3166_2": "KR-11", + "country": "South Korea", + "iso3166_1": "KR", + "latitude": 37.5665, + "longitude": 126.978, + "local_languages": [ + "ko" ], - "examples": ["100 00", "101 00", "102 00"], - "source": "derived from GeoNames postal data (radius, r=15km)", - "codes_matched": 52, - "notes": "Prague = 100 00 - 199 00. Enumerated from 52 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Pilsen", - "state_province": "Plzeň", - "iso3166_2": "CZ-32", - "country": "Czechia", - "iso3166_1": "CZ", - "latitude": 49.7384, - "longitude": 13.3736, - "local_languages": ["cs"], - "postal_code": { - "country_format_regex": "^\\d{3} ?\\d{2}$", - "city_regex": ["^3(?:0[17]\\ 00|1[02]\\ 00)$"], - "examples": ["301 00", "307 00", "310 00"], - "source": "derived from GeoNames postal data (radius, r=10km)", - "codes_matched": 4, - "notes": "Plzen = 301 00 - 312 00. Enumerated from 4 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Amsterdam", - "state_province": "North Holland", - "iso3166_2": "NL-NH", - "country": "Netherlands", - "iso3166_1": "NL", - "latitude": 52.3676, - "longitude": 4.9041, - "local_languages": ["nl"], - "postal_code": { - "country_format_regex": "^\\d{4} ?[A-Z]{2}$", - "city_regex": [ - "^1(?:0(?:[157][1-9]|[29][1-8]|[34][1-7]|6\\d|8[1-367])|10[1-9]) ?[A-Z]{2}$" + "postal_code": { + "country_format_regex": "^\\d{5}$", + "city_regex": [ + "^0(?:1[0-46-9]|2[0-24-8]|3[013-79]|4\\d|5[0-8]|6[0-35-9]|7[02-9]|8[0-35-8])\\d{2}$" + ], + "examples": [ + "01000", + "01001", + "01002" + ], + "source": "derived from GeoNames postal data (radius, r=18km)", + "codes_matched": 5628, + "notes": "Post-2015 5-digit system: Seoul = 01000-09999. Compressed on the 3-digit prefix. Enumerated from 5628 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Busan", + "state_province": "Busan", + "iso3166_2": "KR-26", + "country": "South Korea", + "iso3166_1": "KR", + "latitude": 35.1796, + "longitude": 129.0756, + "local_languages": [ + "ko" ], - "examples": ["1011 AB", "1012 AB", "1013 AB"], - "source": "derived from GeoNames postal data (name, r=15km)", - "codes_matched": 81, - "notes": "Amsterdam = 1000-1109 numeric part. Dataset is 4-digit numeric; letter pair appended. Enumerated from 81 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Copenhagen", - "state_province": "Capital Region", - "iso3166_2": "DK-84", - "country": "Denmark", - "iso3166_1": "DK", - "latitude": 55.6761, - "longitude": 12.5683, - "local_languages": ["da"], - "postal_code": { - "country_format_regex": "^\\d{4}$", - "city_regex": [ - "^(?:1(?:8(?:[017]\\d|2[02-9]|35|5[0-7]|6[0-8])|9(?:[16][0-7]|0[0-689]|2[0-8]|5\\d|7[0-4]))|2000)$" + "postal_code": { + "country_format_regex": "^\\d{5}$", + "city_regex": [ + "^4(?:6[0235-79]|7[0-35-9]|8[0-57-9]|9[0-5])\\d{2}$" + ], + "examples": [ + "46002", + "46018", + "46027" + ], + "source": "derived from GeoNames postal data (radius, r=18km)", + "codes_matched": 2214, + "notes": "Busan = 46000-49999. Compressed on the 3-digit prefix. Enumerated from 2214 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Ho Chi Minh City", + "state_province": "Ho Chi Minh", + "iso3166_2": "VN-SG", + "country": "Vietnam", + "iso3166_1": "VN", + "latitude": 10.8231, + "longitude": 106.6297, + "local_languages": [ + "vi" ], - "examples": ["1800", "1801", "1802"], - "source": "derived from GeoNames postal data (sub, r=12km)", - "codes_matched": 107, - "notes": "Copenhagen K = 1000-1499; Frederiksberg and surrounding districts = 1800-2500. Enumerated from 107 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Warsaw", - "state_province": "Masovian", - "iso3166_2": "PL-MZ", - "country": "Poland", - "iso3166_1": "PL", - "latitude": 52.2297, - "longitude": 21.0122, - "local_languages": ["pl"], - "postal_code": { - "country_format_regex": "^\\d{2}-\\d{3}$", - "city_regex": [ - "^0(?:0\\-(?:[013-7]\\d|2[0-8]|8[0-79]|91)|1\\-(?:[13-57-9]\\d|[02][0-6]|6[0-57-9])|2\\-\\d\\d|3\\-(?:[0-79]\\d|8[0-46-9])|4\\-(?:[0-46-8]\\d|5[0-7]|9[05689]))\\d$" + "postal_code": { + "country_format_regex": "^\\d{5,6}$", + "city_regex": [ + "^7[0-4]\\d{3}$", + "^7[0-4]\\d{4}$" + ], + "examples": [ + "70000", + "700000" + ], + "source": "researched (no usable open dataset)", + "codes_matched": null, + "notes": "Current 5-digit system: HCMC = 70000-74999. Legacy/6-digit form (700000) still appears in some systems." + } + }, + { + "city": "Hanoi", + "state_province": "Hanoi", + "iso3166_2": "VN-HN", + "country": "Vietnam", + "iso3166_1": "VN", + "latitude": 21.0285, + "longitude": 105.8542, + "local_languages": [ + "vi" ], - "examples": ["00-002", "00-003", "00-004"], - "source": "derived from GeoNames postal data (radius, r=15km)", - "codes_matched": 3661, - "notes": "Warsaw = 00-001 to 04-999. Compressed one digit short of full length. Enumerated from 3661 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Krakow", - "state_province": "Lesser Poland", - "iso3166_2": "PL-MA", - "country": "Poland", - "iso3166_1": "PL", - "latitude": 50.0647, - "longitude": 19.945, - "local_languages": ["pl"], - "postal_code": { - "country_format_regex": "^\\d{2}-\\d{3}$", - "city_regex": [ - "^3(?:0\\-(?:[036]\\d|[27][0-589]|1[0-59]|4[0-49]|5[0-8]|8[0-69]|9[0469])|1\\-(?:[45][0-8]|[89]\\d|0[0-7]|1[0-6]|2[0-46-8]|3[0-79]|6[0-579]|7[0-2569]))\\d$" + "postal_code": { + "country_format_regex": "^\\d{5,6}$", + "city_regex": [ + "^1[0-4]\\d{3}$", + "^1[0-4]\\d{4}$" + ], + "examples": [ + "10000", + "100000" + ], + "source": "researched (no usable open dataset)", + "codes_matched": null, + "notes": "Hanoi = 10000-14999 (5-digit). Legacy 6-digit form 100000 still in circulation." + } + }, + { + "city": "Da Nang", + "state_province": "Da Nang", + "iso3166_2": "VN-DN", + "country": "Vietnam", + "iso3166_1": "VN", + "latitude": 16.0544, + "longitude": 108.2022, + "local_languages": [ + "vi" ], - "examples": ["30-001", "30-002", "30-003"], - "source": "derived from GeoNames postal data (name, r=20km)", - "codes_matched": 1106, - "notes": "Krakow = 30-001 to 31-999. Compressed one digit short of full length. Enumerated from 1106 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Rome", - "state_province": "Lazio", - "iso3166_2": "IT-62", - "country": "Italy", - "iso3166_1": "IT", - "latitude": 41.9028, - "longitude": 12.4964, - "local_languages": ["it"], - "postal_code": { - "country_format_regex": "^\\d{5}$", - "city_regex": ["^001(?:[3-9][1-9]|1[89]|2[0-8])$"], - "examples": ["00118", "00119", "00120"], - "source": "derived from GeoNames postal data (name, r=20km)", - "codes_matched": 74, - "notes": "Rome = 00118-00199 (00120 = Vatican City, a separate state). Enumerated from 74 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Milan", - "state_province": "Lombardy", - "iso3166_2": "IT-25", - "country": "Italy", - "iso3166_1": "IT", - "latitude": 45.4642, - "longitude": 9.19, - "local_languages": ["it"], - "postal_code": { - "country_format_regex": "^\\d{5}$", - "city_regex": ["^201(?:[2-5][1-9]|6[12])$"], - "examples": ["20121", "20122", "20123"], - "source": "derived from GeoNames postal data (name, r=15km)", - "codes_matched": 38, - "notes": "Milan city = 20121-20162. Enumerated from 38 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Barcelona", - "state_province": "Catalonia", - "iso3166_2": "ES-CT", - "country": "Spain", - "iso3166_1": "ES", - "latitude": 41.3851, - "longitude": 2.1734, - "local_languages": ["ca", "es"], - "postal_code": { - "country_format_regex": "^\\d{5}$", - "city_regex": ["^080(?:[1-3]\\d|0[1-9]|4[0-2]|7[015]|80)$"], - "examples": ["08001", "08002", "08003"], - "source": "derived from GeoNames postal data (name, r=15km)", - "codes_matched": 46, - "notes": "Barcelona city = 08001-08042. Province is 08xxx. Enumerated from 46 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Madrid", - "state_province": "Madrid", - "iso3166_2": "ES-MD", - "country": "Spain", - "iso3166_1": "ES", - "latitude": 40.4168, - "longitude": -3.7038, - "local_languages": ["es"], - "postal_code": { - "country_format_regex": "^\\d{5}$", - "city_regex": ["^280(?:[1-4]\\d|0[1-9]|5[0-5]|7[01]|8[0235-7])$"], - "examples": ["28001", "28002", "28003"], - "source": "derived from GeoNames postal data (name, r=20km)", - "codes_matched": 63, - "notes": "Madrid city = 28001-28080. Community of Madrid is 28xxx. Enumerated from 63 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Paris", - "state_province": "Île-de-France", - "iso3166_2": "FR-IDF", - "country": "France", - "iso3166_1": "FR", - "latitude": 48.8566, - "longitude": 2.3522, - "local_languages": ["fr"], - "postal_code": { - "country_format_regex": "^\\d{5}$", - "city_regex": ["^750(?:[01]\\d|20)$"], - "examples": ["75000", "75001", "75002"], - "source": "derived from GeoNames postal data (name, r=15km)", - "codes_matched": 21, - "notes": "Paris = 75001-75020, plus 75116 (a second code for the 16th arrondissement). Enumerated from 21 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Lyon", - "state_province": "Auvergne-Rhône-Alpes", - "iso3166_2": "FR-ARA", - "country": "France", - "iso3166_1": "FR", - "latitude": 45.764, - "longitude": 4.8357, - "local_languages": ["fr"], - "postal_code": { - "country_format_regex": "^\\d{5}$", - "city_regex": ["^6900\\d$"], - "examples": ["69000", "69001", "69002"], - "source": "derived from GeoNames postal data (name, r=15km)", - "codes_matched": 10, - "notes": "Lyon = 69001-69009 (nine arrondissements). Enumerated from 10 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Stockholm", - "state_province": "Stockholm", - "iso3166_2": "SE-AB", - "country": "Sweden", - "iso3166_1": "SE", - "latitude": 59.3293, - "longitude": 18.0686, - "local_languages": ["sv"], - "postal_code": { - "country_format_regex": "^\\d{3} ?\\d{2}$", - "city_regex": [ - "^1(?:0(?:[569]\\ \\d|[02]\\ [0-7]|1\\ [0-35]|3\\ [0-35-9]|4\\ [02-6]|7\\ [0-26-9])|1(?:[0-2478]\\ \\d|[35]\\ [02-9]|6\\ [0-46-9])|2(?:[17]\\ 2|0\\ [0-36-9]|5\\ 8|6\\ [0-278])|3(?:1\\ [12589]|5\\ 7)|4(?:1\\ [89]|5\\ 8)|6(?:[49]\\ [89]|1\\ 8|2\\ [18]|3\\ 9)|7(?:0\\ 8|1\\ [17]|2\\ [89]|3\\ [13-68])|82\\ 8|95\\ 8)\\d$" + "postal_code": { + "country_format_regex": "^\\d{5,6}$", + "city_regex": [ + "^5[0-5]\\d{3}$", + "^5[0-5]\\d{4}$" + ], + "examples": [ + "50000", + "550000" + ], + "source": "researched (no usable open dataset)", + "codes_matched": null, + "notes": "Sources conflict: Da Nang is cited as both 50000 and 55000. Pattern accepts 50000-55999 and the 6-digit legacy form." + } + }, + { + "city": "Bangkok", + "state_province": "Bangkok", + "iso3166_2": "TH-10", + "country": "Thailand", + "iso3166_1": "TH", + "latitude": 13.7563, + "longitude": 100.5018, + "local_languages": [ + "th" ], - "examples": ["100 04", "100 05", "100 12"], - "source": "derived from GeoNames postal data (name, r=20km)", - "codes_matched": 1139, - "notes": "Stockholm County = 1xx xx. Compressed one digit short of full length. Enumerated from 1139 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Gothenburg", - "state_province": "Västra Götaland", - "iso3166_2": "SE-O", - "country": "Sweden", - "iso3166_1": "SE", - "latitude": 57.7089, - "longitude": 11.9746, - "local_languages": ["sv"], - "postal_code": { - "country_format_regex": "^\\d{3} ?\\d{2}$", - "city_regex": [ - "^4(?:0(?:[89]\\ \\d|0\\ [1-79]|1\\ [12589]|2\\ [2-7]|3\\ [0-4]|4\\ [0238]|5\\ [0-57-9]|7\\ 0)|1(?:[26]\\ [024-9]|1\\ [0-489]|3\\ [0-2489]|4\\ [025-8]|5\\ \\d|7\\ [0-8]|8\\ [0-47]))\\d$" + "postal_code": { + "country_format_regex": "^\\d{5}$", + "city_regex": [ + "^10(?:[4-8]00|1[0-7]0|2[024-69]0|3[0-3]0)$" + ], + "examples": [ + "10100", + "10110", + "10120" + ], + "source": "derived from GeoNames postal data (radius, r=20km)", + "codes_matched": 23, + "notes": "Bangkok = province code 10; codes run 10100-10900. Enumerated from 23 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Taipei", + "state_province": "Taipei", + "iso3166_2": "TW-TPE", + "country": "Taiwan", + "iso3166_1": "TW", + "latitude": 25.033, + "longitude": 121.5654, + "local_languages": [ + "zh-TW" ], - "examples": ["400 10", "400 12", "400 13"], - "source": "derived from GeoNames postal data (name, r=20km)", - "codes_matched": 755, - "notes": "Gothenburg = 400 00 - 425 99. Compressed one digit short of full length. Enumerated from 755 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Oslo", - "state_province": "Oslo", - "iso3166_2": "NO-03", - "country": "Norway", - "iso3166_1": "NO", - "latitude": 59.9139, - "longitude": 10.7522, - "local_languages": ["no"], - "postal_code": { - "country_format_regex": "^\\d{4}$", - "city_regex": [ - "^(?:0(?:[56][0-25-9]|0[0-5]|1\\d|2[013-8]|3[0-8]|4[0-24-9]|7[015-9]|8[04-9]|9[015-8])|1(?:[01][015-8]|2[015-9]))\\d$" + "postal_code": { + "country_format_regex": "^\\d{3}(?:\\d{2}|\\d{3})?$", + "city_regex": [ + "^1(?:0[0-9]|1[0-6])(?:\\d{2}|\\d{3})?$" + ], + "examples": [ + "100", + "10058", + "100013" + ], + "source": "researched (no usable open dataset)", + "codes_matched": null, + "notes": "Taipei City districts = 100-116. 3-digit is valid alone; 3+2 is legacy, 3+3 is current." + } + }, + { + "city": "Beijing", + "state_province": "Beijing", + "iso3166_2": "CN-BJ", + "country": "China", + "iso3166_1": "CN", + "latitude": 39.9042, + "longitude": 116.4074, + "local_languages": [ + "zh-CN" ], - "examples": ["0001", "0010", "0015"], - "source": "derived from GeoNames postal data (name, r=20km)", - "codes_matched": 631, - "notes": "Oslo = 0001-1295; the 0xxx block is the city proper. Compressed one digit short of full length. Enumerated from 631 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Dublin", - "state_province": "Leinster", - "iso3166_2": "IE-L", - "country": "Ireland", - "iso3166_1": "IE", - "latitude": 53.3498, - "longitude": -6.2603, - "local_languages": ["en", "ga"], - "postal_code": { - "country_format_regex": "^(?:D6W|[AC-FHKNPRTV-Y]\\d{2}) ?[0-9AC-FHKNPRTV-Y]{4}$", - "city_regex": ["^D(?:0[1-9]|1[0-8]|2[024]|6W) ?[0-9AC-FHKNPRTV-Y]{4}$"], - "examples": ["D01 XY35", "D02 XY35", "D03 XY35"], - "source": "derived from GeoNames postal data (sub, r=25km)", - "codes_matched": 22, - "notes": "Dublin routing keys: D01-D18, D20, D22, D24 and the exception D6W. Note D19, D21, D23 are not issued. Dataset is routing-key level; unique identifier appended. Enumerated from 22 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Vienna", - "state_province": "Vienna", - "iso3166_2": "AT-9", - "country": "Austria", - "iso3166_1": "AT", - "latitude": 48.2082, - "longitude": 16.3738, - "local_languages": ["de-AT"], - "postal_code": { - "country_format_regex": "^\\d{4}$", - "city_regex": ["^1(?:0[1-9]0|1\\d0|2[0-3]0)$"], - "examples": ["1010", "1020", "1030"], - "source": "derived from GeoNames postal data (field)", - "codes_matched": 23, - "notes": "Vienna = 1010-1230, always ending in 0 (district number x10). Enumerated from 23 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Zurich", - "state_province": "Zurich", - "iso3166_2": "CH-ZH", - "country": "Switzerland", - "iso3166_1": "CH", - "latitude": 47.3769, - "longitude": 8.5417, - "local_languages": ["de-CH"], - "postal_code": { - "country_format_regex": "^\\d{4}$", - "city_regex": [ - "^80(?:0[0-68]|1[027]|2[247]|3[1246-8]|4[0-24-9]|5[0-3578]|6[034]|7[05]|8[178]|9[0-389])$" + "postal_code": { + "country_format_regex": "^\\d{6}$", + "city_regex": [ + "^10[0-2]\\d{3}$" + ], + "examples": [ + "100000", + "101100", + "101200" + ], + "source": "derived from GeoNames postal data (radius, r=40km)", + "codes_matched": 11, + "notes": "Beijing municipality = 100000-102629. Dataset is city-level; compressed on the 3-digit prefix. Enumerated from 11 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Shanghai", + "state_province": "Shanghai", + "iso3166_2": "CN-SH", + "country": "China", + "iso3166_1": "CN", + "latitude": 31.2304, + "longitude": 121.4737, + "local_languages": [ + "zh-CN" ], - "examples": ["8000", "8001", "8002"], - "source": "derived from GeoNames postal data (name, r=12km)", - "codes_matched": 50, - "notes": "City of Zurich = 8001-8064. Enumerated from 50 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Tallinn", - "state_province": "Harju", - "iso3166_2": "EE-37", - "country": "Estonia", - "iso3166_1": "EE", - "latitude": 59.437, - "longitude": 24.7536, - "local_languages": ["et"], - "postal_code": { - "country_format_regex": "^\\d{5}$", - "city_regex": [ - "^(?:1(?:0(?:001|1(?:[2-4]\\d|1[1-9]|5[0-689])|3(?:1[1-9]|2[013])|41[1-6]|6(?:1[1-9]|2[01])|9(?:1[1-9]|2[0-2]))|1(?:[23]1[1-8]|101|41[1-7]|6(?:1[1-9]|2[0-5])|71[1-3]|91[1-4])|2(?:01[1-5]|11[1-3]|6(?:1[1-9]|20)|91[1-9])|3(?:4(?:1[1-9]|2[0-6])|5(?:1[1-9]|2[0-4])|6(?:1[1-9]|2\\d)|81[1267]|91[1-9])|5(?:0(?:[16]5|0[79]|2[69]|30|4[17-9]|5[59]|7[01]|9[4589])|1(?:6[15]|70|8[58]|9[039]))|9086)|7(?:4(?:0(?:0[18]|1[014-69]|20)|20[168])|5(?:3(?:0[1346-8]|1[02]|2[1-357]|31)|4(?:03|12)|511)|69(?:0[12]|1[26]|2[2-4])))$" + "postal_code": { + "country_format_regex": "^\\d{6}$", + "city_regex": [ + "^20[0-2]\\d{3}$" + ], + "examples": [ + "200000", + "201100", + "201300" + ], + "source": "derived from GeoNames postal data (radius, r=40km)", + "codes_matched": 10, + "notes": "Shanghai municipality = 200000-202699. Dataset is city-level; compressed on the 3-digit prefix. Enumerated from 10 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Bengaluru", + "state_province": "Karnataka", + "iso3166_2": "IN-KA", + "country": "India", + "iso3166_1": "IN", + "latitude": 12.9716, + "longitude": 77.5946, + "local_languages": [ + "kn", + "en" ], - "examples": ["10001", "10111", "10112"], - "source": "derived from GeoNames postal data (radius, r=12km)", - "codes_matched": 289, - "notes": "Tallinn = 10xxx-13xxx. Enumerated from 289 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Denver", - "state_province": "Colorado", - "iso3166_2": "US-CO", - "country": "United States", - "iso3166_1": "US", - "latitude": 39.7392, - "longitude": -104.9903, - "local_languages": ["en-US"], - "postal_code": { - "country_format_regex": "^\\d{5}(?:-\\d{4})?$", - "city_regex": [ - "^802(?:[23]\\d|0[1-9]|1[0-24-9]|4[346-9]|5[0-2679]|6[0-6]|7[134]|81|9[01349])$" + "postal_code": { + "country_format_regex": "^[1-9]\\d{5}$", + "city_regex": [ + "^560\\d{3}$" + ], + "examples": [ + "560001", + "560002", + "560003" + ], + "source": "derived from GeoNames postal data (field)", + "codes_matched": 106, + "notes": "Bengaluru urban PIN codes = 560xxx. Bengaluru Rural uses 561xxx/562xxx. Compressed on the 3-digit pin prefix. Enumerated from 106 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Singapore", + "state_province": "Central Singapore", + "iso3166_2": "SG-01", + "country": "Singapore", + "iso3166_1": "SG", + "latitude": 1.3521, + "longitude": 103.8198, + "local_languages": [ + "en", + "zh", + "ms", + "ta" ], - "examples": ["80201", "80202", "80203"], - "source": "derived from GeoNames postal data (name, r=30km)", - "codes_matched": 66, - "notes": "Denver = 80202-80249 plus 80290-80299. Enumerated from 66 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Portland", - "state_province": "Oregon", - "iso3166_2": "US-OR", - "country": "United States", - "iso3166_1": "US", - "latitude": 45.5152, - "longitude": -122.6784, - "local_languages": ["en-US"], - "postal_code": { - "country_format_regex": "^\\d{5}(?:-\\d{4})?$", - "city_regex": [ - "^972(?:[59][0-468]|0[1-9]|1\\d|2[0-57-9]|3[0-3689]|4[02]|6[6-9]|8[0-36])$" + "postal_code": { + "country_format_regex": "^\\d{6}$", + "city_regex": [ + "^(?:[1-6]\\d|0[1-9]|7[0-35-9]|8[0-28]|91)\\d{4}$" + ], + "examples": [ + "018906", + "018907", + "018910" + ], + "source": "derived from GeoNames postal data (radius, r=30km)", + "codes_matched": 121135, + "notes": "Singapore is a single postal district; sectors 01-82 cover the whole island. Compressed on the 2-digit sector prefix. Enumerated from 121135 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Melbourne", + "state_province": "Victoria", + "iso3166_2": "AU-VIC", + "country": "Australia", + "iso3166_1": "AU", + "latitude": -37.8136, + "longitude": 144.9631, + "local_languages": [ + "en-AU" ], - "examples": ["97201", "97202", "97203"], - "source": "derived from GeoNames postal data (name, r=30km)", - "codes_matched": 60, - "notes": "Portland, Oregon = 972xx. Enumerated from 60 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "San Diego", - "state_province": "California", - "iso3166_2": "US-CA", - "country": "United States", - "iso3166_1": "US", - "latitude": 32.7157, - "longitude": -117.1611, - "local_languages": ["en-US", "es-US"], - "postal_code": { - "country_format_regex": "^\\d{5}(?:-\\d{4})?$", - "city_regex": [ - "^921(?:0[1-9]|1[0-79]|2[0-469]|3[0-24-9]|4[02579]|5[02-589]|6[0135-9]|7[0-24-79]|8[267]|9[0-35-9])$" + "postal_code": { + "country_format_regex": "^\\d{4}$", + "city_regex": [ + "^(?:3(?:0(?:[45]\\d|0[0-68]|1[0-35689]|2[0-35-9]|3[1-46-9]|6[0-25-8]|7[0-689]|8[1-9]|9[013-5])|1(?:[0248][1-9]|[39][0-4]|1[14]|5[0-2]|6[1-35-9]|7[0-24])|20[24-7]|428|752)|8(?:0(?:0[1-9]|1[0-2]|45|51|6[69]|7[01])|1(?:0[27]|11|20)|205|383|438|511))$" + ], + "examples": [ + "3000", + "3001", + "3002" + ], + "source": "derived from GeoNames postal data (radius, r=25km)", + "codes_matched": 179, + "notes": "Greater Melbourne approx. 3000-3207. Victoria as a whole is 3000-3999. Enumerated from 179 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Sydney", + "state_province": "New South Wales", + "iso3166_2": "AU-NSW", + "country": "Australia", + "iso3166_1": "AU", + "latitude": -33.8688, + "longitude": 151.2093, + "local_languages": [ + "en-AU" ], - "examples": ["92101", "92102", "92103"], - "source": "derived from GeoNames postal data (name, r=30km)", - "codes_matched": 74, - "notes": "San Diego = 921xx. Enumerated from 74 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Asheville", - "state_province": "North Carolina", - "iso3166_2": "US-NC", - "country": "United States", - "iso3166_1": "US", - "latitude": 35.5951, - "longitude": -82.5515, - "local_languages": ["en-US"], - "postal_code": { - "country_format_regex": "^\\d{5}(?:-\\d{4})?$", - "city_regex": ["^288(?:0[1-6]|1[03-6])$"], - "examples": ["28801", "28802", "28803"], - "source": "derived from GeoNames postal data (name, r=25km)", - "codes_matched": 11, - "notes": "Asheville = 28801-28816. Enumerated from 11 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Grand Rapids", - "state_province": "Michigan", - "iso3166_2": "US-MI", - "country": "United States", - "iso3166_1": "US", - "latitude": 42.9634, - "longitude": -85.6681, - "local_languages": ["en-US"], - "postal_code": { - "country_format_regex": "^\\d{5}(?:-\\d{4})?$", - "city_regex": [ - "^495(?:0[1-8]|1[024-68]|2[358]|3[04]|4[468]|55|60|88|99)$" + "postal_code": { + "country_format_regex": "^\\d{4}$", + "city_regex": [ + "^(?:1(?:0(?:0[1-9]|10|2[0-35-9]|3\\d|4[0-6])|1(?:[2-9]\\d|0[015-9]|1[02-9])|2(?:0[1-3578]|3\\d|40|9[1-9])|3(?:[046]0|14|35|5[05])|4(?:[35][05]|[67][056]|0[15]|19|2[02-9]|4[015]|8[0145]|9[0359])|5(?:[18]5|6[05]|70|9[057])|6(?:[46]0|[78][05]|02|3[059]|5[58])|7(?:[09]0|[15][05]|[78]1|4[01]|65)|8(?:0[05]|1[19]|25|3[015]|60|7[45]|8[58]|91))|2(?:0(?:[2-46]\\d|[79][0-79]|0[0-246-9]|1[0-35-9]|5[0257-9]|8[4-9])|1(?:[1-39]\\d|0[0-49]|4[0-6]|5[0-24]|6[0-35]|7[23])|2(?:0[03-9]|1[0-46-9]|2\\d|3[014])))$" + ], + "examples": [ + "1001", + "1002", + "1003" + ], + "source": "derived from GeoNames postal data (radius, r=25km)", + "codes_matched": 424, + "notes": "Sydney metro approx. 2000-2249; 1000-1999 are Sydney PO Box / large-volume codes. Enumerated from 424 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Brisbane", + "state_province": "Queensland", + "iso3166_2": "AU-QLD", + "country": "Australia", + "iso3166_1": "AU", + "latitude": -27.4705, + "longitude": 153.026, + "local_languages": [ + "en-AU" ], - "examples": ["49501", "49502", "49503"], - "source": "derived from GeoNames postal data (name, r=25km)", - "codes_matched": 26, - "notes": "Grand Rapids = 495xx. Enumerated from 26 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Chicago", - "state_province": "Illinois", - "iso3166_2": "US-IL", - "country": "United States", - "iso3166_1": "US", - "latitude": 41.8781, - "longitude": -87.6298, - "local_languages": ["en-US", "es-US"], - "postal_code": { - "country_format_regex": "^\\d{5}(?:-\\d{4})?$", - "city_regex": [ - "^60(?:6(?:0[1-9]|1\\d|2[0-689]|3[0-46-9]|4[0-79]|5[1-79]|6[014689]|7[03-578]|8[0-24-9]|9[013-79])|701)$" + "postal_code": { + "country_format_regex": "^\\d{4}$", + "city_regex": [ + "^(?:4(?:0(?:0\\d|1[0-478]|3[0-24-7]|5[13-59]|6[015-9]|7[02-8])|1(?:[05][1-9]|1\\d|2[0-37]|3[12]|6[0139]|7[0-489]))|90(?:0[0-2579]|1[035]))$" + ], + "examples": [ + "4000", + "4001", + "4002" + ], + "source": "derived from GeoNames postal data (radius, r=25km)", + "codes_matched": 99, + "notes": "Greater Brisbane approx. 4000-4207. Enumerated from 99 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Adelaide", + "state_province": "South Australia", + "iso3166_2": "AU-SA", + "country": "Australia", + "iso3166_1": "AU", + "latitude": -34.9285, + "longitude": 138.6007, + "local_languages": [ + "en-AU" ], - "examples": ["60601", "60602", "60603"], - "source": "derived from GeoNames postal data (name, r=30km)", - "codes_matched": 84, - "notes": "Chicago = 606xx-608xx. Enumerated from 84 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Seattle", - "state_province": "Washington", - "iso3166_2": "US-WA", - "country": "United States", - "iso3166_1": "US", - "latitude": 47.6062, - "longitude": -122.3321, - "local_languages": ["en-US"], - "postal_code": { - "country_format_regex": "^\\d{5}(?:-\\d{4})?$", - "city_regex": [ - "^981(?:[01][1-9]|2[124-79]|3[134689]|4[14-68]|5[458]|6[014-68]|7[04578]|8[158]|9[014589])$" + "postal_code": { + "country_format_regex": "^\\d{4}$", + "city_regex": [ + "^5(?:0(?:[14]\\d|[68][1-9]|0[015-9]|2[0-5]|3[1-57-9]|5[0-2]|7[0-6]|9[0-8])|1(?:0[6-9]|2[67]|3[1-46-9]|4[0-24]|5[0-24-689]|6[12])|8(?:0[01]|10|39)|9(?:42|50))$" + ], + "examples": [ + "5000", + "5001", + "5005" + ], + "source": "derived from GeoNames postal data (radius, r=20km)", + "codes_matched": 112, + "notes": "Adelaide metro approx. 5000-5199. Enumerated from 112 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Perth", + "state_province": "Western Australia", + "iso3166_2": "AU-WA", + "country": "Australia", + "iso3166_1": "AU", + "latitude": -31.9505, + "longitude": 115.8605, + "local_languages": [ + "en-AU" ], - "examples": ["98101", "98102", "98103"], - "source": "derived from GeoNames postal data (name, r=30km)", - "codes_matched": 59, - "notes": "Seattle = 981xx. Enumerated from 59 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Austin", - "state_province": "Texas", - "iso3166_2": "US-TX", - "country": "United States", - "iso3166_1": "US", - "latitude": 30.2672, - "longitude": -97.7431, - "local_languages": ["en-US", "es-US"], - "postal_code": { - "country_format_regex": "^\\d{5}(?:-\\d{4})?$", - "city_regex": [ - "^7(?:33(?:01|44)|87(?:[1-356]\\d|0[1-589]|4[124-9]|7[2-489]|83|99))$" + "postal_code": { + "country_format_regex": "^\\d{4}$", + "city_regex": [ + "^6(?:0(?:[56]\\d|0[013-9]|1[0-24-9]|2[0-79]|7[0167]|90)|1(?:[05]\\d|10|4[7-9]|6[02-46])|8(?:[79]2|0[039]|17|2[07]|3[0-27-9]|4\\d|50|65)|9(?:[18]\\d|[35][1-9]|0[0-79]|2[0-69]|4[0-7]|6[013-579]|7[09]|9[017]))$" + ], + "examples": [ + "6000", + "6001", + "6003" + ], + "source": "derived from GeoNames postal data (radius, r=25km)", + "codes_matched": 182, + "notes": "Perth metro approx. 6000-6199. Enumerated from 182 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Hobart", + "state_province": "Tasmania", + "iso3166_2": "AU-TAS", + "country": "Australia", + "iso3166_1": "AU", + "latitude": -42.8821, + "longitude": 147.3272, + "local_languages": [ + "en-AU" ], - "examples": ["73301", "73344", "78701"], - "source": "derived from GeoNames postal data (name, r=30km)", - "codes_matched": 74, - "notes": "Austin = 787xx. Enumerated from 74 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Boston", - "state_province": "Massachusetts", - "iso3166_2": "US-MA", - "country": "United States", - "iso3166_1": "US", - "latitude": 42.3601, - "longitude": -71.0589, - "local_languages": ["en-US"], - "postal_code": { - "country_format_regex": "^\\d{5}(?:-\\d{4})?$", - "city_regex": [ - "^02(?:1(?:[36]3|0[89]|1[0-8]|2[378]|9[69])|2(?:0[13-6]|1[0-257]|22|41|66|8[34]|9[378]))$" + "postal_code": { + "country_format_regex": "^\\d{4}$", + "city_regex": [ + "^7(?:0(?:0[0-24-9]|1[0-25-9]|2[13]|5[0-35])|170)$" + ], + "examples": [ + "7000", + "7001", + "7002" + ], + "source": "derived from GeoNames postal data (radius, r=15km)", + "codes_matched": 25, + "notes": "Hobart approx. 7000-7099. Enumerated from 25 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Wellington", + "state_province": "Wellington", + "iso3166_2": "NZ-WGN", + "country": "New Zealand", + "iso3166_1": "NZ", + "latitude": -41.2865, + "longitude": 174.7762, + "local_languages": [ + "en", + "mi" ], - "examples": ["02108", "02109", "02110"], - "source": "derived from GeoNames postal data (name, r=25km)", - "codes_matched": 36, - "notes": "Boston = 021xx and 022xx. Enumerated from 36 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Philadelphia", - "state_province": "Pennsylvania", - "iso3166_2": "US-PA", - "country": "United States", - "iso3166_1": "US", - "latitude": 39.9526, - "longitude": -75.1652, - "local_languages": ["en-US"], - "postal_code": { - "country_format_regex": "^\\d{5}(?:-\\d{4})?$", - "city_regex": [ - "^19(?:0(?:19|9[239])|1(?:[2-4]\\d|0[1-9]|1[0-689]|5[0-5]|6[0-2]|7[0-35-9]|8[1-578]|9[0-7])|2(?:44|55))$" + "postal_code": { + "country_format_regex": "^\\d{4}$", + "city_regex": [ + "^60(?:1[12]|2[1-3]|3[57])$" + ], + "examples": [ + "6011", + "6012", + "6021" + ], + "source": "derived from GeoNames postal data (radius, r=12km)", + "codes_matched": 7, + "notes": "Wellington City = 6011-6037. Wider region extends to 5010-5999. Enumerated from 7 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Auckland", + "state_province": "Auckland", + "iso3166_2": "NZ-AUK", + "country": "New Zealand", + "iso3166_1": "NZ", + "latitude": -36.8485, + "longitude": 174.7633, + "local_languages": [ + "en", + "mi" ], - "examples": ["19019", "19092", "19093"], - "source": "derived from GeoNames postal data (name, r=30km)", - "codes_matched": 87, - "notes": "Philadelphia = 191xx. Enumerated from 87 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Brooklyn", - "state_province": "New York", - "iso3166_2": "US-NY", - "country": "United States", - "iso3166_1": "US", - "latitude": 40.6782, - "longitude": -73.9442, - "local_languages": ["en-US", "es-US"], - "postal_code": { - "country_format_regex": "^\\d{5}(?:-\\d{4})?$", - "city_regex": ["^112(?:[13]\\d|0[1-9]|2[0-689]|4[1-3579]|5[126])$"], - "examples": ["11201", "11202", "11203"], - "source": "derived from GeoNames postal data (name, r=25km)", - "codes_matched": 47, - "notes": "Brooklyn = 112xx. Enumerated from 47 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Milwaukee", - "state_province": "Wisconsin", - "iso3166_2": "US-WI", - "country": "United States", - "iso3166_1": "US", - "latitude": 43.0389, - "longitude": -87.9065, - "local_languages": ["en-US"], - "postal_code": { - "country_format_regex": "^\\d{5}(?:-\\d{4})?$", - "city_regex": [ - "^532(?:0[1-9]|1\\d|2[0-8]|3[347]|59|6[378]|7[48]|88|9[035])$" + "postal_code": { + "country_format_regex": "^\\d{4}$", + "city_regex": [ + "^(?:0(?:6(?:0[024]|1[0248]|2[024679]|3[02]|4[0-5]|5[0-7]|6[0-3])|7(?:4\\d|5[0-8]|82|9[2-4])|8(?:1[04]|20|41|9[12])|9(?:30|43))|1(?:0(?:[47][12]|[56][0-2]|1[01]|2[1-6])|1(?:4[0-57-9]|5[01])|24[56]|3(?:4[024-9]|5[0-2])|44[0356]|54[1-6]|64[0-3]|74[0-6]|84[02])|2(?:0(?:1[02-468]|2[2-5])|1(?:0[2-5]|4[0-79]|5[013-9]|60)|24[0-3]|5(?:7[16]|80)))$" + ], + "examples": [ + "0600", + "0602", + "0604" + ], + "source": "derived from GeoNames postal data (radius, r=25km)", + "codes_matched": 169, + "notes": "Auckland is non-contiguous: 0600-0999 (north/west), 1010-1081 (central), 2010-2699 (south). Enumerated from 169 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Christchurch", + "state_province": "Canterbury", + "iso3166_2": "NZ-CAN", + "country": "New Zealand", + "iso3166_1": "NZ", + "latitude": -43.532, + "longitude": 172.6306, + "local_languages": [ + "en", + "mi" ], - "examples": ["53201", "53202", "53203"], - "source": "derived from GeoNames postal data (name, r=25km)", - "codes_matched": 41, - "notes": "Milwaukee = 532xx. Enumerated from 41 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Richmond", - "state_province": "Virginia", - "iso3166_2": "US-VA", - "country": "United States", - "iso3166_1": "US", - "latitude": 37.5407, - "longitude": -77.436, - "local_languages": ["en-US"], - "postal_code": { - "country_format_regex": "^\\d{5}(?:-\\d{4})?$", - "city_regex": [ - "^23(?:173|2(?:1[89]|2[0-7]|3[024-7]|4[19]|50|6[019]|7[4689]|8[24-69]|9[0-3578]))$" + "postal_code": { + "country_format_regex": "^\\d{4}$", + "city_regex": [ + "^80(?:[46][12]|[58][1-3]|1[134]|2[2-5])$" + ], + "examples": [ + "8011", + "8013", + "8014" + ], + "source": "derived from GeoNames postal data (radius, r=15km)", + "codes_matched": 17, + "notes": "Christchurch City = 8011-8062. Canterbury region extends 7600-8999. Enumerated from 17 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Nelson", + "state_province": "Nelson", + "iso3166_2": "NZ-NSN", + "country": "New Zealand", + "iso3166_1": "NZ", + "latitude": -41.2706, + "longitude": 173.284, + "local_languages": [ + "en", + "mi" ], - "examples": ["23173", "23218", "23219"], - "source": "derived from GeoNames postal data (name, r=25km)", - "codes_matched": 39, - "notes": "Richmond = 232xx. Enumerated from 39 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Cincinnati", - "state_province": "Ohio", - "iso3166_2": "US-OH", - "country": "United States", - "iso3166_1": "US", - "latitude": 39.1031, - "longitude": -84.512, - "local_languages": ["en-US"], - "postal_code": { - "country_format_regex": "^\\d{5}(?:-\\d{4})?$", - "city_regex": [ - "^45(?:2(?:[01][1-9]|[34]\\d|2[0-79]|5[0-58]|6[2-47-9]|7[013-57]|80|9[689])|999)$" + "postal_code": { + "country_format_regex": "^\\d{4}$", + "city_regex": [ + "^70(?:1[01]|4[0-79])$" + ], + "examples": [ + "7010", + "7011", + "7040" + ], + "source": "derived from GeoNames postal data (radius, r=10km)", + "codes_matched": 11, + "notes": "Nelson City = 7010-7011 and 7040-7047. Enumerated from 11 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Munich", + "state_province": "Bavaria", + "iso3166_2": "DE-BY", + "country": "Germany", + "iso3166_1": "DE", + "latitude": 48.1351, + "longitude": 11.582, + "local_languages": [ + "de" ], - "examples": ["45201", "45202", "45203"], - "source": "derived from GeoNames postal data (name, r=25km)", - "codes_matched": 71, - "notes": "Cincinnati = 452xx. Enumerated from 71 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "St. Louis", - "state_province": "Missouri", - "iso3166_2": "US-MO", - "country": "United States", - "iso3166_1": "US", - "latitude": 38.627, - "longitude": -90.1994, - "local_languages": ["en-US"], - "postal_code": { - "country_format_regex": "^\\d{5}(?:-\\d{4})?$", - "city_regex": [ - "^631(?:[1-3]\\d|0[1-9]|4[013-7]|5[015-8]|6[034679]|7[17-9]|8[028]|9[579])$" + "postal_code": { + "country_format_regex": "^\\d{5}$", + "city_regex": [ + "^8(?:0(?:33[135-79]|469|53[89]|6(?:3[46-9]|8[679])|79[6-9]|80[1-579]|9(?:3[3579]|9[23579]))|1(?:[89]2[579]|24[1357-9]|3(?:69|7[13579])|47[5-79]|5(?:39|4[13579])|6(?:6[79]|7[13579])|73[579]))$" + ], + "examples": [ + "80331", + "80333", + "80335" + ], + "source": "derived from GeoNames postal data (name, r=20km)", + "codes_matched": 75, + "notes": "Munich = 80331-81929. Enumerated from 75 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Berlin", + "state_province": "Berlin", + "iso3166_2": "DE-BE", + "country": "Germany", + "iso3166_1": "DE", + "latitude": 52.52, + "longitude": 13.405, + "local_languages": [ + "de" ], - "examples": ["63101", "63102", "63103"], - "source": "derived from GeoNames postal data (name, r=25km)", - "codes_matched": 68, - "notes": "St. Louis = 631xx. Enumerated from 68 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Tampa", - "state_province": "Florida", - "iso3166_2": "US-FL", - "country": "United States", - "iso3166_1": "US", - "latitude": 27.9506, - "longitude": -82.4572, - "local_languages": ["en-US", "es-US"], - "postal_code": { - "country_format_regex": "^\\d{5}(?:-\\d{4})?$", - "city_regex": [ - "^336(?:0[1-9]|1\\d|2[0-69]|3[013-57]|4[67]|5[05]|6[0-4]|7[2-579]|8[0-24-9]|94)$" + "postal_code": { + "country_format_regex": "^\\d{5}$", + "city_regex": [ + "^1(?:0(?:[68]2[3579]|1(?:1[579]|7[89])|3(?:1[57-9]|6[579])|4[03][579]|5(?:5[13579]|8[579])|7(?:[07][79]|[18][13579]))|1011|2(?:0(?:4[3579]|5[13579]|99)|1(?:[06][13579]|5[79])|2(?:[47][79]|0[3579])|3(?:0[579]|4[79]|5[13579])|4(?:3[579]|59|8[79])|5(?:2[4679]|5[579]|8[79])|6(?:[17]9|2[1379]|8[13579]))|3(?:0(?:5[13579]|8[689])|1(?:2[579]|5[689]|8[79])|3(?:4[79]|5[13579])|4(?:[36][579]|0[3579])|5(?:[89][13579]|0[3579])|62[79])|4(?:0(?:5[023579]|89)|1(?:[02]9|[69][3579]|31)))$" + ], + "examples": [ + "10115", + "10117", + "10119" + ], + "source": "derived from GeoNames postal data (name, r=30km)", + "codes_matched": 182, + "notes": "Berlin = 10115-14199. Enumerated from 182 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Cologne", + "state_province": "North Rhine-Westphalia", + "iso3166_2": "DE-NW", + "country": "Germany", + "iso3166_1": "DE", + "latitude": 50.9375, + "longitude": 6.9603, + "local_languages": [ + "de" ], - "examples": ["33601", "33602", "33603"], - "source": "derived from GeoNames postal data (name, r=30km)", - "codes_matched": 58, - "notes": "Tampa = 336xx. Enumerated from 58 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Minneapolis", - "state_province": "Minnesota", - "iso3166_2": "US-MN", - "country": "United States", - "iso3166_1": "US", - "latitude": 44.9778, - "longitude": -93.265, - "local_languages": ["en-US"], - "postal_code": { - "country_format_regex": "^\\d{5}(?:-\\d{4})?$", - "city_regex": [ - "^554(?:[1-4]\\d|0[1-9]|5[04589]|6[07]|7[02-489]|8[03-8])$" + "postal_code": { + "country_format_regex": "^\\d{5}$", + "city_regex": [ + "^5(?:0(?:6(?:6[78]|7[0246-9])|7(?:3[3579]|6[579])|8(?:2[3579]|5[89])|9(?:3[13579]|6[89]|9[679]))|1(?:06[13579]|1[04][3579]))$" + ], + "examples": [ + "50667", + "50668", + "50670" + ], + "source": "derived from GeoNames postal data (name, r=20km)", + "codes_matched": 45, + "notes": "Cologne = 50667-51149. Enumerated from 45 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Bamberg", + "state_province": "Bavaria", + "iso3166_2": "DE-BY", + "country": "Germany", + "iso3166_1": "DE", + "latitude": 49.8916, + "longitude": 10.8916, + "local_languages": [ + "de" ], - "examples": ["55401", "55402", "55403"], - "source": "derived from GeoNames postal data (name, r=25km)", - "codes_matched": 69, - "notes": "Minneapolis = 554xx. Enumerated from 69 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Burlington", - "state_province": "Vermont", - "iso3166_2": "US-VT", - "country": "United States", - "iso3166_1": "US", - "latitude": 44.4759, - "longitude": -73.2121, - "local_languages": ["en-US"], - "postal_code": { - "country_format_regex": "^\\d{5}(?:-\\d{4})?$", - "city_regex": ["^0540[12568]$"], - "examples": ["05401", "05402", "05405"], - "source": "derived from GeoNames postal data (name, r=20km)", - "codes_matched": 5, - "notes": "Burlington = 054xx. Enumerated from 5 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Portland", - "state_province": "Maine", - "iso3166_2": "US-ME", - "country": "United States", - "iso3166_1": "US", - "latitude": 43.6591, - "longitude": -70.2568, - "local_languages": ["en-US"], - "postal_code": { - "country_format_regex": "^\\d{5}(?:-\\d{4})?$", - "city_regex": ["^041(?:0[1-49]|12|2[2-4])$"], - "examples": ["04101", "04102", "04103"], - "source": "derived from GeoNames postal data (name, r=25km)", - "codes_matched": 9, - "notes": "Portland, Maine = 041xx. Distinct from Portland, Oregon (972xx). Enumerated from 9 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Atlanta", - "state_province": "Georgia", - "iso3166_2": "US-GA", - "country": "United States", - "iso3166_1": "US", - "latitude": 33.749, - "longitude": -84.388, - "local_languages": ["en-US"], - "postal_code": { - "country_format_regex": "^\\d{5}(?:-\\d{4})?$", - "city_regex": [ - "^3(?:03(?:0[1-9]|1\\d|2[0-24-9]|3[1246-9]|4[0-689]|5[03-578]|6[013489]|7[014578]|8[0458]|9[2468])|11(?:0[67]|26|3[169]|5[06]|9[2356]))$" + "postal_code": { + "country_format_regex": "^\\d{5}$", + "city_regex": [ + "^960(?:4[79]|5[02])$" + ], + "examples": [ + "96047", + "96049", + "96050" + ], + "source": "derived from GeoNames postal data (name, r=15km)", + "codes_matched": 4, + "notes": "Bamberg = 96047-96052. Enumerated from 4 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Brussels", + "state_province": "Brussels-Capital", + "iso3166_2": "BE-BRU", + "country": "Belgium", + "iso3166_1": "BE", + "latitude": 50.8503, + "longitude": 4.3517, + "local_languages": [ + "fr", + "nl" ], - "examples": ["30301", "30302", "30303"], - "source": "derived from GeoNames postal data (name, r=30km)", - "codes_matched": 82, - "notes": "Atlanta city = 303xx; the wider metro extends across 303xx-309xx. Enumerated from 82 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Toronto", - "state_province": "Ontario", - "iso3166_2": "CA-ON", - "country": "Canada", - "iso3166_1": "CA", - "latitude": 43.651, - "longitude": -79.347, - "local_languages": ["en-CA"], - "postal_code": { - "country_format_regex": "^[ABCEGHJ-NPRSTVXY]\\d[ABCEGHJ-NPRSTV-Z] ?\\d[ABCEGHJ-NPRSTV-Z]\\d$", - "city_regex": [ - "^M(?:1[BCEGHJ-NPR-TV-X]|2[HJ-NPR]|3[A-CHJ-N]|4[A-CEGHJ-NPR-TV-Y]|5[A-CEGHJ-NPR-TV-X]|6[A-CEGHJ-NPRS]|7[AY]|8[V-Z]|9[A-CL-NPRVW]) ?\\d[ABCEGHJ-NPRSTV-Z]\\d$" + "postal_code": { + "country_format_regex": "^\\d{4}$", + "city_regex": [ + "^1(?:0(?:[02-79]0|8[0-3])|1[2-9]0|2[01]0)$" + ], + "examples": [ + "1000", + "1020", + "1030" + ], + "source": "derived from GeoNames postal data (radius, r=8km)", + "codes_matched": 22, + "notes": "Brussels-Capital Region = 1000-1210. Enumerated from 22 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Antwerp", + "state_province": "Flanders", + "iso3166_2": "BE-VLG", + "country": "Belgium", + "iso3166_1": "BE", + "latitude": 51.2194, + "longitude": 4.4025, + "local_languages": [ + "nl" ], - "examples": ["M1B 1A1", "M1C 1A1", "M1E 1A1"], - "source": "derived from GeoNames postal data (radius, r=30km)", - "codes_matched": 102, - "notes": "Toronto = the entire 'M' forward sortation area. Dataset is fsa-level; local delivery unit appended. Enumerated from 102 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Vancouver", - "state_province": "British Columbia", - "iso3166_2": "CA-BC", - "country": "Canada", - "iso3166_1": "CA", - "latitude": 49.2827, - "longitude": -123.1207, - "local_languages": ["en-CA"], - "postal_code": { - "country_format_regex": "^[ABCEGHJ-NPRSTVXY]\\d[ABCEGHJ-NPRSTV-Z] ?\\d[ABCEGHJ-NPRSTV-Z]\\d$", - "city_regex": [ - "^V(?:5[K-NPR-TV-Z]|6[A-CEGHJ-NPRSZ]|7[GHJ-NPR-TV-Y]) ?\\d[ABCEGHJ-NPRSTV-Z]\\d$" + "postal_code": { + "country_format_regex": "^\\d{4}$", + "city_regex": [ + "^20(?:[02-6]0|18)$" + ], + "examples": [ + "2000", + "2018", + "2020" + ], + "source": "derived from GeoNames postal data (name, r=20km)", + "codes_matched": 7, + "notes": "City of Antwerp = 2000-2660; 2xxx also covers other Antwerp Province towns. Enumerated from 7 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Bruges", + "state_province": "Flanders", + "iso3166_2": "BE-VLG", + "country": "Belgium", + "iso3166_1": "BE", + "latitude": 51.2093, + "longitude": 3.2247, + "local_languages": [ + "nl" ], - "examples": ["V5K 1A1", "V5L 1A1", "V5M 1A1"], - "source": "derived from GeoNames postal data (sub, r=20km)", - "codes_matched": 43, - "notes": "Vancouver proper = V5/V6; V7 covers North/West Vancouver and Richmond. Dataset is fsa-level; local delivery unit appended. Enumerated from 43 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Montreal", - "state_province": "Quebec", - "iso3166_2": "CA-QC", - "country": "Canada", - "iso3166_1": "CA", - "latitude": 45.5017, - "longitude": -73.5673, - "local_languages": ["fr-CA", "en-CA"], - "postal_code": { - "country_format_regex": "^[ABCEGHJ-NPRSTVXY]\\d[ABCEGHJ-NPRSTV-Z] ?\\d[ABCEGHJ-NPRSTV-Z]\\d$", - "city_regex": [ - "^H(?:[1-3][A-CEGHJ-NPR-TV-Z]|0M|4[A-CEGHJ-NPR-TV-XZ]|5[AB]|7[A-CEGHJ-NPR-TV-Y]|8[NPR-TYZ]|9[A-CGHJPRSW]) ?\\d[ABCEGHJ-NPRSTV-Z]\\d$" + "postal_code": { + "country_format_regex": "^\\d{4}$", + "city_regex": [ + "^8(?:[02]00|3[148]0)$" + ], + "examples": [ + "8000", + "8200", + "8310" + ], + "source": "derived from GeoNames postal data (radius, r=12km)", + "codes_matched": 5, + "notes": "Bruges uses discrete codes: 8000 (centre), 8200, 8310, 8340, 8380 (submunicipalities). Enumerated from 5 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "London", + "state_province": "England", + "iso3166_2": "GB-ENG", + "country": "United Kingdom", + "iso3166_1": "GB", + "latitude": 51.5074, + "longitude": -0.1278, + "local_languages": [ + "en-GB" ], - "examples": ["H0M 1A1", "H1A 1A1", "H1B 1A1"], - "source": "derived from GeoNames postal data (radius, r=25km)", - "codes_matched": 118, - "notes": "Montreal = the entire 'H' forward sortation area. Dataset is fsa-level; local delivery unit appended. Enumerated from 118 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Calgary", - "state_province": "Alberta", - "iso3166_2": "CA-AB", - "country": "Canada", - "iso3166_1": "CA", - "latitude": 51.0447, - "longitude": -114.0719, - "local_languages": ["en-CA"], - "postal_code": { - "country_format_regex": "^[ABCEGHJ-NPRSTVXY]\\d[ABCEGHJ-NPRSTV-Z] ?\\d[ABCEGHJ-NPRSTV-Z]\\d$", - "city_regex": [ - "^T(?:1Y|2[A-CEGHJ-NPR-TV-Z]|3[A-CEGHJ-NPRS]) ?\\d[ABCEGHJ-NPRSTV-Z]\\d$" + "postal_code": { + "country_format_regex": "^[A-Z]{1,2}\\d[A-Z\\d]? ?\\d[A-Z]{2}$", + "city_regex": [ + "^(?:E(?:1W|C(?:[14][AMNRVY]|2[AMNPRVY]|3[AMNPV]))|SW1[EHPV-Y]|W(?:1[B-DF-HJKS-UW]|C(?:1[ABEHNRVX]|2[ABEHNR]))) ?\\d[A-Z]{2}$" + ], + "examples": [ + "E1W 1AA", + "EC1A 1AA", + "EC1M 1AA" + ], + "source": "derived from GeoNames postal data (name, r=25km)", + "codes_matched": 58, + "notes": "First pattern = inner London postcode areas; second = outer Greater London areas. Dataset is outward-code level; inward code appended. Enumerated from 58 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Bristol", + "state_province": "England", + "iso3166_2": "GB-ENG", + "country": "United Kingdom", + "iso3166_1": "GB", + "latitude": 51.4545, + "longitude": -2.5879, + "local_languages": [ + "en-GB" ], - "examples": ["T1Y 1A1", "T2A 1A1", "T2B 1A1"], - "source": "derived from GeoNames postal data (sub, r=30km)", - "codes_matched": 35, - "notes": "Calgary uses T1Y, T2A-T2Z and T3A-T3R; the T1/T3 blocks also include nearby communities. Dataset is fsa-level; local delivery unit appended. Enumerated from 35 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Halifax", - "state_province": "Nova Scotia", - "iso3166_2": "CA-NS", - "country": "Canada", - "iso3166_1": "CA", - "latitude": 44.6488, - "longitude": -63.5752, - "local_languages": ["en-CA"], - "postal_code": { - "country_format_regex": "^[ABCEGHJ-NPRSTVXY]\\d[ABCEGHJ-NPRSTV-Z] ?\\d[ABCEGHJ-NPRSTV-Z]\\d$", - "city_regex": ["^B3[HJ-NPRS] ?\\d[ABCEGHJ-NPRSTV-Z]\\d$"], - "examples": ["B3H 1A1", "B3J 1A1", "B3K 1A1"], - "source": "derived from GeoNames postal data (sub, r=25km)", - "codes_matched": 9, - "notes": "Halifax peninsula/urban = B3x. The wider municipality also uses B2x and B4x. Dataset is fsa-level; local delivery unit appended. Enumerated from 9 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Mexico City", - "state_province": "Mexico City", - "iso3166_2": "MX-CMX", - "country": "Mexico", - "iso3166_1": "MX", - "latitude": 19.4326, - "longitude": -99.1332, - "local_languages": ["es-MX"], - "postal_code": { - "country_format_regex": "^\\d{5}$", - "city_regex": [ - "^(?:0(?:1(?:[0247]\\d|1[0-8]|3[1-478]|5[0-689]|6[0-5]|8[0-24-7]|9[049])|2(?:[13][0-6]|[49]\\d|0[0-24-9]|2[03-6]|5[0-4]|6[03-8]|7[0-35-9]|8[013-7])|3(?:[3479][0-4]|0[0-2]|1[09]|2[02-4]|5\\d|6[0-6]|8[0-24])|4(?:0[0-4]|1[0-2]|2[013-8]|3\\d|4[0-24-9]|5[013]|6[0-6]|7[0-3]|8[013-579]|9[0-8])|5(?:0[0236]|1[0-3]|2[0-46-8]|3[1-467]|5[03]|6[02])|6(?:0\\d|1[047]|2[024578]|3[05]|4[0357]|5[089]|6[09]|7[024689]|8[024-9]|9[029])|7(?:[289]\\d|[3-5][0-8]|0[0-24-9]|1[013-9]|6[02-8]|7[02-9])|8(?:[028][0-4]|1[06-8]|3[0-2]|4[02]|5[0-268]|6[0-25]|7[0-367]|9[0-3])|9(?:[278]\\d|[14][0-8]|0[0-46-9]|3[0-356]|5[0-35-7]|6[02-46-9]|9[0-467]))|1(?:0(?:[04]0|1[013]|2[09]|3[0235-8]|5[08]|6[0-5]|7[0-4]|8[1-4]|9[0-2])|1(?:[17]0|[24]\\d|[38][0-7]|0[04]|5[0-689]|6[0145]|9[1-35])|2(?:0[078]|20)|3(?:0[0367]|1[128]|2[013578]|3[016]|4[13]|55|6[04])|4(?:[03]\\d|1[1-6]|2[0-7]|4[0-68]|6[0-5])|5(?:[48][0-7]|0[0-2]|1[02]|2\\d|3[0-57-9]|5[0-4]|6[0-8]|7[0-5]|9[04-9])|6(?:0[1-57]|10|3[0-4]|4[14]|62|7[1-58]|8[168])))\\d$" + "postal_code": { + "country_format_regex": "^[A-Z]{1,2}\\d[A-Z\\d]? ?\\d[A-Z]{2}$", + "city_regex": [ + "^BS(?:[1256]|3[12459]?|4[01]) ?\\d[A-Z]{2}$" + ], + "examples": [ + "BS1 1AA", + "BS2 1AA", + "BS3 1AA" + ], + "source": "derived from GeoNames postal data (name, r=20km)", + "codes_matched": 12, + "notes": "BS postcode area (also covers parts of North Somerset / South Gloucestershire). Dataset is outward-code level; inward code appended. Enumerated from 12 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Edinburgh", + "state_province": "Scotland", + "iso3166_2": "GB-SCT", + "country": "United Kingdom", + "iso3166_1": "GB", + "latitude": 55.9533, + "longitude": -3.1883, + "local_languages": [ + "en-GB", + "gd" ], - "examples": ["01000", "01010", "01020"], - "source": "derived from GeoNames postal data (radius, r=20km)", - "codes_matched": 1207, - "notes": "Mexico City = 01000-16999. Compressed one digit short of full length. Enumerated from 1207 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Tijuana", - "state_province": "Baja California", - "iso3166_2": "MX-BCN", - "country": "Mexico", - "iso3166_1": "MX", - "latitude": 32.5149, - "longitude": -117.0382, - "local_languages": ["es-MX"], - "postal_code": { - "country_format_regex": "^\\d{5}$", - "city_regex": [ - "^22(?:0(?:[23][045]|00|4[46])|1(?:15|2[03-7]|6[03-5]|70|94)|2(?:06|1[04-7]|50)|4(?:0[056]|24|4[046]|57)|5(?:0[04-6]|1[05-7]|2[3-6]|3[04-7]|5[057]|6[03-7])|6(?:0[04-6]|1[046]|2[4-6]|4[03-5]|5[04]|6[03-7]))$" + "postal_code": { + "country_format_regex": "^[A-Z]{1,2}\\d[A-Z\\d]? ?\\d[A-Z]{2}$", + "city_regex": [ + "^EH(?:[2-9]|1[12]?) ?\\d[A-Z]{2}$" + ], + "examples": [ + "EH1 1AA", + "EH11 1AA", + "EH12 1AA" + ], + "source": "derived from GeoNames postal data (name, r=20km)", + "codes_matched": 11, + "notes": "EH postcode area. Dataset is outward-code level; inward code appended. Enumerated from 11 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Glasgow", + "state_province": "Scotland", + "iso3166_2": "GB-SCT", + "country": "United Kingdom", + "iso3166_1": "GB", + "latitude": 55.8642, + "longitude": -4.2518, + "local_languages": [ + "en-GB", + "gd" ], - "examples": ["22000", "22020", "22024"], - "source": "derived from GeoNames postal data (radius, r=20km)", - "codes_matched": 85, - "notes": "Tijuana = 22000-22699. Enumerated from 85 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Monterrey", - "state_province": "Nuevo León", - "iso3166_2": "MX-NLE", - "country": "Mexico", - "iso3166_1": "MX", - "latitude": 25.6866, - "longitude": -100.3161, - "local_languages": ["es-MX"], - "postal_code": { - "country_format_regex": "^\\d{5}$", - "city_regex": [ - "^64(?:0(?:[235-7]0|0[04679]|1[089]|4[09])|1(?:[239]0|0[024-9]|1[06-9]|4[058]|5[07-9]|6[05-8]|7[08]|8[06])|2(?:[7-9]0|0[04-689]|1[0589]|2[05-9]|3[03-8]|4[04-9]|5[089]|6[04-69])|3(?:[0-257-9]0|3[09]|4[04-9]|6[05-9])|4(?:[0135-79]0|4[02]|8[089])|5(?:[06][08]|[58]0|1[07]|3[06]|4[09]|7[01])|6(?:[06]0|[45][09]|1[089]|2[03])|7(?:[037]0|15|2[03]|5[034]|6[0459]|8[038]|9[08])|8(?:[0-28]0|3[0346]|4[04-69]|5[089]|6[05]|78|9[037-9])|9(?:[1356]0|[04][09]|2[056]|7[089]|8[034679]|9[067]))$" + "postal_code": { + "country_format_regex": "^[A-Z]{1,2}\\d[A-Z\\d]? ?\\d[A-Z]{2}$", + "city_regex": [ + "^G(?:[12][23]?|3[14]?|4[0-24]?|52?) ?\\d[A-Z]{2}$" + ], + "examples": [ + "G1 1AA", + "G12 1AA", + "G13 1AA" + ], + "source": "derived from GeoNames postal data (name, r=20km)", + "codes_matched": 16, + "notes": "G postcode area. Dataset is outward-code level; inward code appended. Enumerated from 16 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Prague", + "state_province": "Prague", + "iso3166_2": "CZ-10", + "country": "Czechia", + "iso3166_1": "CZ", + "latitude": 50.0755, + "longitude": 14.4378, + "local_languages": [ + "cs" ], - "examples": ["64000", "64004", "64006"], - "source": "derived from GeoNames postal data (radius, r=18km)", - "codes_matched": 212, - "notes": "Monterrey city = 64000-64999; the metro area extends into 65xxx-67xxx. Enumerated from 212 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Guadalajara", - "state_province": "Jalisco", - "iso3166_2": "MX-JAL", - "country": "Mexico", - "iso3166_1": "MX", - "latitude": 20.6597, - "longitude": -103.3496, - "local_languages": ["es-MX"], - "postal_code": { - "country_format_regex": "^\\d{5}$", - "city_regex": [ - "^44(?:009|1(?:[01346-9]0|5[08])|2(?:[0378]0|1[04-9]|2[07]|4[0679]|5[07-9]|6[05-8]|9[089])|3(?:[3-8]0|0[067]|2[09]|9[0589])|4(?:[02457]0|1[09]|3[08]|6[079]|9[03])|5(?:[1268]0|[045][09]|3[058])|6(?:[029]0|[18][09]|3[0589]|4[78]|5[06-9]|6[0578]|7[089])|7(?:[078]0|1[069]|2[03-79]|3[079]|4[08]|5[057]|6[05689]|9[09])|8(?:[046]0|1[0578]|2[0457-9]|7[09]|9[05-9])|9(?:[039]0|[14][089]|2[09]|5[069]|6[0679]|7[078]|8[04-79]))$" + "postal_code": { + "country_format_regex": "^\\d{3} ?\\d{2}$", + "city_regex": [ + "^1(?:0[0-246-9]\\ 00|1[089]\\ 00|2[08]\\ 00|30\\ 00|4[0-37-9]\\ 00|5(?:[02489]\\ 00|5\\ (?:[23]1|00))|6[0-59]\\ 00|7[01]\\ 00|8[0-246]\\ 00|9(?:[3689]\\ 00|0\\ (?:00|1[1257])))$" + ], + "examples": [ + "100 00", + "101 00", + "102 00" + ], + "source": "derived from GeoNames postal data (radius, r=15km)", + "codes_matched": 52, + "notes": "Prague = 100 00 - 199 00. Enumerated from 52 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Pilsen", + "state_province": "Plzeň", + "iso3166_2": "CZ-32", + "country": "Czechia", + "iso3166_1": "CZ", + "latitude": 49.7384, + "longitude": 13.3736, + "local_languages": [ + "cs" ], - "examples": ["44009", "44100", "44110"], - "source": "derived from GeoNames postal data (radius, r=15km)", - "codes_matched": 183, - "notes": "Guadalajara city = 44100-44999; Zapopan/Tlaquepaque use 45xxx. Enumerated from 183 observed codes; the country_format_regex is the permissive fallback." - } - }, - { - "city": "Ensenada", - "state_province": "Baja California", - "iso3166_2": "MX-BCN", - "country": "Mexico", - "iso3166_1": "MX", - "latitude": 31.8667, - "longitude": -116.5964, - "local_languages": ["es-MX"], - "postal_code": { - "country_format_regex": "^\\d{5}$", - "city_regex": [ - "^228(?:[03]0|1[02-589]|2[023]|4[027]|5[0259]|6[03]|7[0239]|8[07-9]|9[578])$" + "postal_code": { + "country_format_regex": "^\\d{3} ?\\d{2}$", + "city_regex": [ + "^3(?:0[17]\\ 00|1[02]\\ 00)$" + ], + "examples": [ + "301 00", + "307 00", + "310 00" + ], + "source": "derived from GeoNames postal data (radius, r=10km)", + "codes_matched": 4, + "notes": "Plzen = 301 00 - 312 00. Enumerated from 4 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Amsterdam", + "state_province": "North Holland", + "iso3166_2": "NL-NH", + "country": "Netherlands", + "iso3166_1": "NL", + "latitude": 52.3676, + "longitude": 4.9041, + "local_languages": [ + "nl" ], - "examples": ["22800", "22810", "22812"], - "source": "derived from GeoNames postal data (radius, r=15km)", - "codes_matched": 32, - "notes": "Ensenada = 22800-22899. Enumerated from 32 observed codes; the country_format_regex is the permissive fallback." + "postal_code": { + "country_format_regex": "^\\d{4} ?[A-Z]{2}$", + "city_regex": [ + "^1(?:0(?:[157][1-9]|[29][1-8]|[34][1-7]|6\\d|8[1-367])|10[1-9]) ?[A-Z]{2}$" + ], + "examples": [ + "1011 AB", + "1012 AB", + "1013 AB" + ], + "source": "derived from GeoNames postal data (name, r=15km)", + "codes_matched": 81, + "notes": "Amsterdam = 1000-1109 numeric part. Dataset is 4-digit numeric; letter pair appended. Enumerated from 81 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Copenhagen", + "state_province": "Capital Region", + "iso3166_2": "DK-84", + "country": "Denmark", + "iso3166_1": "DK", + "latitude": 55.6761, + "longitude": 12.5683, + "local_languages": [ + "da" + ], + "postal_code": { + "country_format_regex": "^\\d{4}$", + "city_regex": [ + "^(?:1(?:8(?:[017]\\d|2[02-9]|35|5[0-7]|6[0-8])|9(?:[16][0-7]|0[0-689]|2[0-8]|5\\d|7[0-4]))|2000)$" + ], + "examples": [ + "1800", + "1801", + "1802" + ], + "source": "derived from GeoNames postal data (sub, r=12km)", + "codes_matched": 107, + "notes": "Copenhagen K = 1000-1499; Frederiksberg and surrounding districts = 1800-2500. Enumerated from 107 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Warsaw", + "state_province": "Masovian", + "iso3166_2": "PL-MZ", + "country": "Poland", + "iso3166_1": "PL", + "latitude": 52.2297, + "longitude": 21.0122, + "local_languages": [ + "pl" + ], + "postal_code": { + "country_format_regex": "^\\d{2}-\\d{3}$", + "city_regex": [ + "^0(?:0\\-(?:[013-7]\\d|2[0-8]|8[0-79]|91)|1\\-(?:[13-57-9]\\d|[02][0-6]|6[0-57-9])|2\\-\\d\\d|3\\-(?:[0-79]\\d|8[0-46-9])|4\\-(?:[0-46-8]\\d|5[0-7]|9[05689]))\\d$" + ], + "examples": [ + "00-002", + "00-003", + "00-004" + ], + "source": "derived from GeoNames postal data (radius, r=15km)", + "codes_matched": 3661, + "notes": "Warsaw = 00-001 to 04-999. Compressed one digit short of full length. Enumerated from 3661 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Krakow", + "state_province": "Lesser Poland", + "iso3166_2": "PL-MA", + "country": "Poland", + "iso3166_1": "PL", + "latitude": 50.0647, + "longitude": 19.945, + "local_languages": [ + "pl" + ], + "postal_code": { + "country_format_regex": "^\\d{2}-\\d{3}$", + "city_regex": [ + "^3(?:0\\-(?:[036]\\d|[27][0-589]|1[0-59]|4[0-49]|5[0-8]|8[0-69]|9[0469])|1\\-(?:[45][0-8]|[89]\\d|0[0-7]|1[0-6]|2[0-46-8]|3[0-79]|6[0-579]|7[0-2569]))\\d$" + ], + "examples": [ + "30-001", + "30-002", + "30-003" + ], + "source": "derived from GeoNames postal data (name, r=20km)", + "codes_matched": 1106, + "notes": "Krakow = 30-001 to 31-999. Compressed one digit short of full length. Enumerated from 1106 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Rome", + "state_province": "Lazio", + "iso3166_2": "IT-62", + "country": "Italy", + "iso3166_1": "IT", + "latitude": 41.9028, + "longitude": 12.4964, + "local_languages": [ + "it" + ], + "postal_code": { + "country_format_regex": "^\\d{5}$", + "city_regex": [ + "^001(?:[3-9][1-9]|1[89]|2[0-8])$" + ], + "examples": [ + "00118", + "00119", + "00120" + ], + "source": "derived from GeoNames postal data (name, r=20km)", + "codes_matched": 74, + "notes": "Rome = 00118-00199 (00120 = Vatican City, a separate state). Enumerated from 74 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Milan", + "state_province": "Lombardy", + "iso3166_2": "IT-25", + "country": "Italy", + "iso3166_1": "IT", + "latitude": 45.4642, + "longitude": 9.19, + "local_languages": [ + "it" + ], + "postal_code": { + "country_format_regex": "^\\d{5}$", + "city_regex": [ + "^201(?:[2-5][1-9]|6[12])$" + ], + "examples": [ + "20121", + "20122", + "20123" + ], + "source": "derived from GeoNames postal data (name, r=15km)", + "codes_matched": 38, + "notes": "Milan city = 20121-20162. Enumerated from 38 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Barcelona", + "state_province": "Catalonia", + "iso3166_2": "ES-CT", + "country": "Spain", + "iso3166_1": "ES", + "latitude": 41.3851, + "longitude": 2.1734, + "local_languages": [ + "ca", + "es" + ], + "postal_code": { + "country_format_regex": "^\\d{5}$", + "city_regex": [ + "^080(?:[1-3]\\d|0[1-9]|4[0-2]|7[015]|80)$" + ], + "examples": [ + "08001", + "08002", + "08003" + ], + "source": "derived from GeoNames postal data (name, r=15km)", + "codes_matched": 46, + "notes": "Barcelona city = 08001-08042. Province is 08xxx. Enumerated from 46 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Madrid", + "state_province": "Madrid", + "iso3166_2": "ES-MD", + "country": "Spain", + "iso3166_1": "ES", + "latitude": 40.4168, + "longitude": -3.7038, + "local_languages": [ + "es" + ], + "postal_code": { + "country_format_regex": "^\\d{5}$", + "city_regex": [ + "^280(?:[1-4]\\d|0[1-9]|5[0-5]|7[01]|8[0235-7])$" + ], + "examples": [ + "28001", + "28002", + "28003" + ], + "source": "derived from GeoNames postal data (name, r=20km)", + "codes_matched": 63, + "notes": "Madrid city = 28001-28080. Community of Madrid is 28xxx. Enumerated from 63 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Paris", + "state_province": "Île-de-France", + "iso3166_2": "FR-IDF", + "country": "France", + "iso3166_1": "FR", + "latitude": 48.8566, + "longitude": 2.3522, + "local_languages": [ + "fr" + ], + "postal_code": { + "country_format_regex": "^\\d{5}$", + "city_regex": [ + "^750(?:[01]\\d|20)$" + ], + "examples": [ + "75000", + "75001", + "75002" + ], + "source": "derived from GeoNames postal data (name, r=15km)", + "codes_matched": 21, + "notes": "Paris = 75001-75020, plus 75116 (a second code for the 16th arrondissement). Enumerated from 21 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Lyon", + "state_province": "Auvergne-Rhône-Alpes", + "iso3166_2": "FR-ARA", + "country": "France", + "iso3166_1": "FR", + "latitude": 45.764, + "longitude": 4.8357, + "local_languages": [ + "fr" + ], + "postal_code": { + "country_format_regex": "^\\d{5}$", + "city_regex": [ + "^6900\\d$" + ], + "examples": [ + "69000", + "69001", + "69002" + ], + "source": "derived from GeoNames postal data (name, r=15km)", + "codes_matched": 10, + "notes": "Lyon = 69001-69009 (nine arrondissements). Enumerated from 10 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Stockholm", + "state_province": "Stockholm", + "iso3166_2": "SE-AB", + "country": "Sweden", + "iso3166_1": "SE", + "latitude": 59.3293, + "longitude": 18.0686, + "local_languages": [ + "sv" + ], + "postal_code": { + "country_format_regex": "^\\d{3} ?\\d{2}$", + "city_regex": [ + "^1(?:0(?:[569]\\ \\d|[02]\\ [0-7]|1\\ [0-35]|3\\ [0-35-9]|4\\ [02-6]|7\\ [0-26-9])|1(?:[0-2478]\\ \\d|[35]\\ [02-9]|6\\ [0-46-9])|2(?:[17]\\ 2|0\\ [0-36-9]|5\\ 8|6\\ [0-278])|3(?:1\\ [12589]|5\\ 7)|4(?:1\\ [89]|5\\ 8)|6(?:[49]\\ [89]|1\\ 8|2\\ [18]|3\\ 9)|7(?:0\\ 8|1\\ [17]|2\\ [89]|3\\ [13-68])|82\\ 8|95\\ 8)\\d$" + ], + "examples": [ + "100 04", + "100 05", + "100 12" + ], + "source": "derived from GeoNames postal data (name, r=20km)", + "codes_matched": 1139, + "notes": "Stockholm County = 1xx xx. Compressed one digit short of full length. Enumerated from 1139 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Gothenburg", + "state_province": "Västra Götaland", + "iso3166_2": "SE-O", + "country": "Sweden", + "iso3166_1": "SE", + "latitude": 57.7089, + "longitude": 11.9746, + "local_languages": [ + "sv" + ], + "postal_code": { + "country_format_regex": "^\\d{3} ?\\d{2}$", + "city_regex": [ + "^4(?:0(?:[89]\\ \\d|0\\ [1-79]|1\\ [12589]|2\\ [2-7]|3\\ [0-4]|4\\ [0238]|5\\ [0-57-9]|7\\ 0)|1(?:[26]\\ [024-9]|1\\ [0-489]|3\\ [0-2489]|4\\ [025-8]|5\\ \\d|7\\ [0-8]|8\\ [0-47]))\\d$" + ], + "examples": [ + "400 10", + "400 12", + "400 13" + ], + "source": "derived from GeoNames postal data (name, r=20km)", + "codes_matched": 755, + "notes": "Gothenburg = 400 00 - 425 99. Compressed one digit short of full length. Enumerated from 755 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Oslo", + "state_province": "Oslo", + "iso3166_2": "NO-03", + "country": "Norway", + "iso3166_1": "NO", + "latitude": 59.9139, + "longitude": 10.7522, + "local_languages": [ + "no" + ], + "postal_code": { + "country_format_regex": "^\\d{4}$", + "city_regex": [ + "^(?:0(?:[56][0-25-9]|0[0-5]|1\\d|2[013-8]|3[0-8]|4[0-24-9]|7[015-9]|8[04-9]|9[015-8])|1(?:[01][015-8]|2[015-9]))\\d$" + ], + "examples": [ + "0001", + "0010", + "0015" + ], + "source": "derived from GeoNames postal data (name, r=20km)", + "codes_matched": 631, + "notes": "Oslo = 0001-1295; the 0xxx block is the city proper. Compressed one digit short of full length. Enumerated from 631 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Dublin", + "state_province": "Leinster", + "iso3166_2": "IE-L", + "country": "Ireland", + "iso3166_1": "IE", + "latitude": 53.3498, + "longitude": -6.2603, + "local_languages": [ + "en", + "ga" + ], + "postal_code": { + "country_format_regex": "^(?:D6W|[AC-FHKNPRTV-Y]\\d{2}) ?[0-9AC-FHKNPRTV-Y]{4}$", + "city_regex": [ + "^D(?:0[1-9]|1[0-8]|2[024]|6W) ?[0-9AC-FHKNPRTV-Y]{4}$" + ], + "examples": [ + "D01 XY35", + "D02 XY35", + "D03 XY35" + ], + "source": "derived from GeoNames postal data (sub, r=25km)", + "codes_matched": 22, + "notes": "Dublin routing keys: D01-D18, D20, D22, D24 and the exception D6W. Note D19, D21, D23 are not issued. Dataset is routing-key level; unique identifier appended. Enumerated from 22 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Vienna", + "state_province": "Vienna", + "iso3166_2": "AT-9", + "country": "Austria", + "iso3166_1": "AT", + "latitude": 48.2082, + "longitude": 16.3738, + "local_languages": [ + "de-AT" + ], + "postal_code": { + "country_format_regex": "^\\d{4}$", + "city_regex": [ + "^1(?:0[1-9]0|1\\d0|2[0-3]0)$" + ], + "examples": [ + "1010", + "1020", + "1030" + ], + "source": "derived from GeoNames postal data (field)", + "codes_matched": 23, + "notes": "Vienna = 1010-1230, always ending in 0 (district number x10). Enumerated from 23 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Zurich", + "state_province": "Zurich", + "iso3166_2": "CH-ZH", + "country": "Switzerland", + "iso3166_1": "CH", + "latitude": 47.3769, + "longitude": 8.5417, + "local_languages": [ + "de-CH" + ], + "postal_code": { + "country_format_regex": "^\\d{4}$", + "city_regex": [ + "^80(?:0[0-68]|1[027]|2[247]|3[1246-8]|4[0-24-9]|5[0-3578]|6[034]|7[05]|8[178]|9[0-389])$" + ], + "examples": [ + "8000", + "8001", + "8002" + ], + "source": "derived from GeoNames postal data (name, r=12km)", + "codes_matched": 50, + "notes": "City of Zurich = 8001-8064. Enumerated from 50 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Tallinn", + "state_province": "Harju", + "iso3166_2": "EE-37", + "country": "Estonia", + "iso3166_1": "EE", + "latitude": 59.437, + "longitude": 24.7536, + "local_languages": [ + "et" + ], + "postal_code": { + "country_format_regex": "^\\d{5}$", + "city_regex": [ + "^(?:1(?:0(?:001|1(?:[2-4]\\d|1[1-9]|5[0-689])|3(?:1[1-9]|2[013])|41[1-6]|6(?:1[1-9]|2[01])|9(?:1[1-9]|2[0-2]))|1(?:[23]1[1-8]|101|41[1-7]|6(?:1[1-9]|2[0-5])|71[1-3]|91[1-4])|2(?:01[1-5]|11[1-3]|6(?:1[1-9]|20)|91[1-9])|3(?:4(?:1[1-9]|2[0-6])|5(?:1[1-9]|2[0-4])|6(?:1[1-9]|2\\d)|81[1267]|91[1-9])|5(?:0(?:[16]5|0[79]|2[69]|30|4[17-9]|5[59]|7[01]|9[4589])|1(?:6[15]|70|8[58]|9[039]))|9086)|7(?:4(?:0(?:0[18]|1[014-69]|20)|20[168])|5(?:3(?:0[1346-8]|1[02]|2[1-357]|31)|4(?:03|12)|511)|69(?:0[12]|1[26]|2[2-4])))$" + ], + "examples": [ + "10001", + "10111", + "10112" + ], + "source": "derived from GeoNames postal data (radius, r=12km)", + "codes_matched": 289, + "notes": "Tallinn = 10xxx-13xxx. Enumerated from 289 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Denver", + "state_province": "Colorado", + "iso3166_2": "US-CO", + "country": "United States", + "iso3166_1": "US", + "latitude": 39.7392, + "longitude": -104.9903, + "local_languages": [ + "en-US" + ], + "postal_code": { + "country_format_regex": "^\\d{5}(?:-\\d{4})?$", + "city_regex": [ + "^802(?:[23]\\d|0[1-9]|1[0-24-9]|4[346-9]|5[0-2679]|6[0-6]|7[134]|81|9[01349])$" + ], + "examples": [ + "80201", + "80202", + "80203" + ], + "source": "derived from GeoNames postal data (name, r=30km)", + "codes_matched": 66, + "notes": "Denver = 80202-80249 plus 80290-80299. Enumerated from 66 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Portland", + "state_province": "Oregon", + "iso3166_2": "US-OR", + "country": "United States", + "iso3166_1": "US", + "latitude": 45.5152, + "longitude": -122.6784, + "local_languages": [ + "en-US" + ], + "postal_code": { + "country_format_regex": "^\\d{5}(?:-\\d{4})?$", + "city_regex": [ + "^972(?:[59][0-468]|0[1-9]|1\\d|2[0-57-9]|3[0-3689]|4[02]|6[6-9]|8[0-36])$" + ], + "examples": [ + "97201", + "97202", + "97203" + ], + "source": "derived from GeoNames postal data (name, r=30km)", + "codes_matched": 60, + "notes": "Portland, Oregon = 972xx. Enumerated from 60 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "San Diego", + "state_province": "California", + "iso3166_2": "US-CA", + "country": "United States", + "iso3166_1": "US", + "latitude": 32.7157, + "longitude": -117.1611, + "local_languages": [ + "en-US", + "es-US" + ], + "postal_code": { + "country_format_regex": "^\\d{5}(?:-\\d{4})?$", + "city_regex": [ + "^921(?:0[1-9]|1[0-79]|2[0-469]|3[0-24-9]|4[02579]|5[02-589]|6[0135-9]|7[0-24-79]|8[267]|9[0-35-9])$" + ], + "examples": [ + "92101", + "92102", + "92103" + ], + "source": "derived from GeoNames postal data (name, r=30km)", + "codes_matched": 74, + "notes": "San Diego = 921xx. Enumerated from 74 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Asheville", + "state_province": "North Carolina", + "iso3166_2": "US-NC", + "country": "United States", + "iso3166_1": "US", + "latitude": 35.5951, + "longitude": -82.5515, + "local_languages": [ + "en-US" + ], + "postal_code": { + "country_format_regex": "^\\d{5}(?:-\\d{4})?$", + "city_regex": [ + "^288(?:0[1-6]|1[03-6])$" + ], + "examples": [ + "28801", + "28802", + "28803" + ], + "source": "derived from GeoNames postal data (name, r=25km)", + "codes_matched": 11, + "notes": "Asheville = 28801-28816. Enumerated from 11 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Grand Rapids", + "state_province": "Michigan", + "iso3166_2": "US-MI", + "country": "United States", + "iso3166_1": "US", + "latitude": 42.9634, + "longitude": -85.6681, + "local_languages": [ + "en-US" + ], + "postal_code": { + "country_format_regex": "^\\d{5}(?:-\\d{4})?$", + "city_regex": [ + "^495(?:0[1-8]|1[024-68]|2[358]|3[04]|4[468]|55|60|88|99)$" + ], + "examples": [ + "49501", + "49502", + "49503" + ], + "source": "derived from GeoNames postal data (name, r=25km)", + "codes_matched": 26, + "notes": "Grand Rapids = 495xx. Enumerated from 26 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Chicago", + "state_province": "Illinois", + "iso3166_2": "US-IL", + "country": "United States", + "iso3166_1": "US", + "latitude": 41.8781, + "longitude": -87.6298, + "local_languages": [ + "en-US", + "es-US" + ], + "postal_code": { + "country_format_regex": "^\\d{5}(?:-\\d{4})?$", + "city_regex": [ + "^60(?:6(?:0[1-9]|1\\d|2[0-689]|3[0-46-9]|4[0-79]|5[1-79]|6[014689]|7[03-578]|8[0-24-9]|9[013-79])|701)$" + ], + "examples": [ + "60601", + "60602", + "60603" + ], + "source": "derived from GeoNames postal data (name, r=30km)", + "codes_matched": 84, + "notes": "Chicago = 606xx-608xx. Enumerated from 84 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Seattle", + "state_province": "Washington", + "iso3166_2": "US-WA", + "country": "United States", + "iso3166_1": "US", + "latitude": 47.6062, + "longitude": -122.3321, + "local_languages": [ + "en-US" + ], + "postal_code": { + "country_format_regex": "^\\d{5}(?:-\\d{4})?$", + "city_regex": [ + "^981(?:[01][1-9]|2[124-79]|3[134689]|4[14-68]|5[458]|6[014-68]|7[04578]|8[158]|9[014589])$" + ], + "examples": [ + "98101", + "98102", + "98103" + ], + "source": "derived from GeoNames postal data (name, r=30km)", + "codes_matched": 59, + "notes": "Seattle = 981xx. Enumerated from 59 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Austin", + "state_province": "Texas", + "iso3166_2": "US-TX", + "country": "United States", + "iso3166_1": "US", + "latitude": 30.2672, + "longitude": -97.7431, + "local_languages": [ + "en-US", + "es-US" + ], + "postal_code": { + "country_format_regex": "^\\d{5}(?:-\\d{4})?$", + "city_regex": [ + "^7(?:33(?:01|44)|87(?:[1-356]\\d|0[1-589]|4[124-9]|7[2-489]|83|99))$" + ], + "examples": [ + "73301", + "73344", + "78701" + ], + "source": "derived from GeoNames postal data (name, r=30km)", + "codes_matched": 74, + "notes": "Austin = 787xx. Enumerated from 74 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Boston", + "state_province": "Massachusetts", + "iso3166_2": "US-MA", + "country": "United States", + "iso3166_1": "US", + "latitude": 42.3601, + "longitude": -71.0589, + "local_languages": [ + "en-US" + ], + "postal_code": { + "country_format_regex": "^\\d{5}(?:-\\d{4})?$", + "city_regex": [ + "^02(?:1(?:[36]3|0[89]|1[0-8]|2[378]|9[69])|2(?:0[13-6]|1[0-257]|22|41|66|8[34]|9[378]))$" + ], + "examples": [ + "02108", + "02109", + "02110" + ], + "source": "derived from GeoNames postal data (name, r=25km)", + "codes_matched": 36, + "notes": "Boston = 021xx and 022xx. Enumerated from 36 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Philadelphia", + "state_province": "Pennsylvania", + "iso3166_2": "US-PA", + "country": "United States", + "iso3166_1": "US", + "latitude": 39.9526, + "longitude": -75.1652, + "local_languages": [ + "en-US" + ], + "postal_code": { + "country_format_regex": "^\\d{5}(?:-\\d{4})?$", + "city_regex": [ + "^19(?:0(?:19|9[239])|1(?:[2-4]\\d|0[1-9]|1[0-689]|5[0-5]|6[0-2]|7[0-35-9]|8[1-578]|9[0-7])|2(?:44|55))$" + ], + "examples": [ + "19019", + "19092", + "19093" + ], + "source": "derived from GeoNames postal data (name, r=30km)", + "codes_matched": 87, + "notes": "Philadelphia = 191xx. Enumerated from 87 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Brooklyn", + "state_province": "New York", + "iso3166_2": "US-NY", + "country": "United States", + "iso3166_1": "US", + "latitude": 40.6782, + "longitude": -73.9442, + "local_languages": [ + "en-US", + "es-US" + ], + "postal_code": { + "country_format_regex": "^\\d{5}(?:-\\d{4})?$", + "city_regex": [ + "^112(?:[13]\\d|0[1-9]|2[0-689]|4[1-3579]|5[126])$" + ], + "examples": [ + "11201", + "11202", + "11203" + ], + "source": "derived from GeoNames postal data (name, r=25km)", + "codes_matched": 47, + "notes": "Brooklyn = 112xx. Enumerated from 47 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Milwaukee", + "state_province": "Wisconsin", + "iso3166_2": "US-WI", + "country": "United States", + "iso3166_1": "US", + "latitude": 43.0389, + "longitude": -87.9065, + "local_languages": [ + "en-US" + ], + "postal_code": { + "country_format_regex": "^\\d{5}(?:-\\d{4})?$", + "city_regex": [ + "^532(?:0[1-9]|1\\d|2[0-8]|3[347]|59|6[378]|7[48]|88|9[035])$" + ], + "examples": [ + "53201", + "53202", + "53203" + ], + "source": "derived from GeoNames postal data (name, r=25km)", + "codes_matched": 41, + "notes": "Milwaukee = 532xx. Enumerated from 41 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Richmond", + "state_province": "Virginia", + "iso3166_2": "US-VA", + "country": "United States", + "iso3166_1": "US", + "latitude": 37.5407, + "longitude": -77.436, + "local_languages": [ + "en-US" + ], + "postal_code": { + "country_format_regex": "^\\d{5}(?:-\\d{4})?$", + "city_regex": [ + "^23(?:173|2(?:1[89]|2[0-7]|3[024-7]|4[19]|50|6[019]|7[4689]|8[24-69]|9[0-3578]))$" + ], + "examples": [ + "23173", + "23218", + "23219" + ], + "source": "derived from GeoNames postal data (name, r=25km)", + "codes_matched": 39, + "notes": "Richmond = 232xx. Enumerated from 39 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Cincinnati", + "state_province": "Ohio", + "iso3166_2": "US-OH", + "country": "United States", + "iso3166_1": "US", + "latitude": 39.1031, + "longitude": -84.512, + "local_languages": [ + "en-US" + ], + "postal_code": { + "country_format_regex": "^\\d{5}(?:-\\d{4})?$", + "city_regex": [ + "^45(?:2(?:[01][1-9]|[34]\\d|2[0-79]|5[0-58]|6[2-47-9]|7[013-57]|80|9[689])|999)$" + ], + "examples": [ + "45201", + "45202", + "45203" + ], + "source": "derived from GeoNames postal data (name, r=25km)", + "codes_matched": 71, + "notes": "Cincinnati = 452xx. Enumerated from 71 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "St. Louis", + "state_province": "Missouri", + "iso3166_2": "US-MO", + "country": "United States", + "iso3166_1": "US", + "latitude": 38.627, + "longitude": -90.1994, + "local_languages": [ + "en-US" + ], + "postal_code": { + "country_format_regex": "^\\d{5}(?:-\\d{4})?$", + "city_regex": [ + "^631(?:[1-3]\\d|0[1-9]|4[013-7]|5[015-8]|6[034679]|7[17-9]|8[028]|9[579])$" + ], + "examples": [ + "63101", + "63102", + "63103" + ], + "source": "derived from GeoNames postal data (name, r=25km)", + "codes_matched": 68, + "notes": "St. Louis = 631xx. Enumerated from 68 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Tampa", + "state_province": "Florida", + "iso3166_2": "US-FL", + "country": "United States", + "iso3166_1": "US", + "latitude": 27.9506, + "longitude": -82.4572, + "local_languages": [ + "en-US", + "es-US" + ], + "postal_code": { + "country_format_regex": "^\\d{5}(?:-\\d{4})?$", + "city_regex": [ + "^336(?:0[1-9]|1\\d|2[0-69]|3[013-57]|4[67]|5[05]|6[0-4]|7[2-579]|8[0-24-9]|94)$" + ], + "examples": [ + "33601", + "33602", + "33603" + ], + "source": "derived from GeoNames postal data (name, r=30km)", + "codes_matched": 58, + "notes": "Tampa = 336xx. Enumerated from 58 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Minneapolis", + "state_province": "Minnesota", + "iso3166_2": "US-MN", + "country": "United States", + "iso3166_1": "US", + "latitude": 44.9778, + "longitude": -93.265, + "local_languages": [ + "en-US" + ], + "postal_code": { + "country_format_regex": "^\\d{5}(?:-\\d{4})?$", + "city_regex": [ + "^554(?:[1-4]\\d|0[1-9]|5[04589]|6[07]|7[02-489]|8[03-8])$" + ], + "examples": [ + "55401", + "55402", + "55403" + ], + "source": "derived from GeoNames postal data (name, r=25km)", + "codes_matched": 69, + "notes": "Minneapolis = 554xx. Enumerated from 69 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Burlington", + "state_province": "Vermont", + "iso3166_2": "US-VT", + "country": "United States", + "iso3166_1": "US", + "latitude": 44.4759, + "longitude": -73.2121, + "local_languages": [ + "en-US" + ], + "postal_code": { + "country_format_regex": "^\\d{5}(?:-\\d{4})?$", + "city_regex": [ + "^0540[12568]$" + ], + "examples": [ + "05401", + "05402", + "05405" + ], + "source": "derived from GeoNames postal data (name, r=20km)", + "codes_matched": 5, + "notes": "Burlington = 054xx. Enumerated from 5 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Portland", + "state_province": "Maine", + "iso3166_2": "US-ME", + "country": "United States", + "iso3166_1": "US", + "latitude": 43.6591, + "longitude": -70.2568, + "local_languages": [ + "en-US" + ], + "postal_code": { + "country_format_regex": "^\\d{5}(?:-\\d{4})?$", + "city_regex": [ + "^041(?:0[1-49]|12|2[2-4])$" + ], + "examples": [ + "04101", + "04102", + "04103" + ], + "source": "derived from GeoNames postal data (name, r=25km)", + "codes_matched": 9, + "notes": "Portland, Maine = 041xx. Distinct from Portland, Oregon (972xx). Enumerated from 9 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Atlanta", + "state_province": "Georgia", + "iso3166_2": "US-GA", + "country": "United States", + "iso3166_1": "US", + "latitude": 33.749, + "longitude": -84.388, + "local_languages": [ + "en-US" + ], + "postal_code": { + "country_format_regex": "^\\d{5}(?:-\\d{4})?$", + "city_regex": [ + "^3(?:03(?:0[1-9]|1\\d|2[0-24-9]|3[1246-9]|4[0-689]|5[03-578]|6[013489]|7[014578]|8[0458]|9[2468])|11(?:0[67]|26|3[169]|5[06]|9[2356]))$" + ], + "examples": [ + "30301", + "30302", + "30303" + ], + "source": "derived from GeoNames postal data (name, r=30km)", + "codes_matched": 82, + "notes": "Atlanta city = 303xx; the wider metro extends across 303xx-309xx. Enumerated from 82 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Toronto", + "state_province": "Ontario", + "iso3166_2": "CA-ON", + "country": "Canada", + "iso3166_1": "CA", + "latitude": 43.651, + "longitude": -79.347, + "local_languages": [ + "en-CA" + ], + "postal_code": { + "country_format_regex": "^[ABCEGHJ-NPRSTVXY]\\d[ABCEGHJ-NPRSTV-Z] ?\\d[ABCEGHJ-NPRSTV-Z]\\d$", + "city_regex": [ + "^M(?:1[BCEGHJ-NPR-TV-X]|2[HJ-NPR]|3[A-CHJ-N]|4[A-CEGHJ-NPR-TV-Y]|5[A-CEGHJ-NPR-TV-X]|6[A-CEGHJ-NPRS]|7[AY]|8[V-Z]|9[A-CL-NPRVW]) ?\\d[ABCEGHJ-NPRSTV-Z]\\d$" + ], + "examples": [ + "M1B 1A1", + "M1C 1A1", + "M1E 1A1" + ], + "source": "derived from GeoNames postal data (radius, r=30km)", + "codes_matched": 102, + "notes": "Toronto = the entire 'M' forward sortation area. Dataset is fsa-level; local delivery unit appended. Enumerated from 102 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Vancouver", + "state_province": "British Columbia", + "iso3166_2": "CA-BC", + "country": "Canada", + "iso3166_1": "CA", + "latitude": 49.2827, + "longitude": -123.1207, + "local_languages": [ + "en-CA" + ], + "postal_code": { + "country_format_regex": "^[ABCEGHJ-NPRSTVXY]\\d[ABCEGHJ-NPRSTV-Z] ?\\d[ABCEGHJ-NPRSTV-Z]\\d$", + "city_regex": [ + "^V(?:5[K-NPR-TV-Z]|6[A-CEGHJ-NPRSZ]|7[GHJ-NPR-TV-Y]) ?\\d[ABCEGHJ-NPRSTV-Z]\\d$" + ], + "examples": [ + "V5K 1A1", + "V5L 1A1", + "V5M 1A1" + ], + "source": "derived from GeoNames postal data (sub, r=20km)", + "codes_matched": 43, + "notes": "Vancouver proper = V5/V6; V7 covers North/West Vancouver and Richmond. Dataset is fsa-level; local delivery unit appended. Enumerated from 43 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Montreal", + "state_province": "Quebec", + "iso3166_2": "CA-QC", + "country": "Canada", + "iso3166_1": "CA", + "latitude": 45.5017, + "longitude": -73.5673, + "local_languages": [ + "fr-CA", + "en-CA" + ], + "postal_code": { + "country_format_regex": "^[ABCEGHJ-NPRSTVXY]\\d[ABCEGHJ-NPRSTV-Z] ?\\d[ABCEGHJ-NPRSTV-Z]\\d$", + "city_regex": [ + "^H(?:[1-3][A-CEGHJ-NPR-TV-Z]|0M|4[A-CEGHJ-NPR-TV-XZ]|5[AB]|7[A-CEGHJ-NPR-TV-Y]|8[NPR-TYZ]|9[A-CGHJPRSW]) ?\\d[ABCEGHJ-NPRSTV-Z]\\d$" + ], + "examples": [ + "H0M 1A1", + "H1A 1A1", + "H1B 1A1" + ], + "source": "derived from GeoNames postal data (radius, r=25km)", + "codes_matched": 118, + "notes": "Montreal = the entire 'H' forward sortation area. Dataset is fsa-level; local delivery unit appended. Enumerated from 118 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Calgary", + "state_province": "Alberta", + "iso3166_2": "CA-AB", + "country": "Canada", + "iso3166_1": "CA", + "latitude": 51.0447, + "longitude": -114.0719, + "local_languages": [ + "en-CA" + ], + "postal_code": { + "country_format_regex": "^[ABCEGHJ-NPRSTVXY]\\d[ABCEGHJ-NPRSTV-Z] ?\\d[ABCEGHJ-NPRSTV-Z]\\d$", + "city_regex": [ + "^T(?:1Y|2[A-CEGHJ-NPR-TV-Z]|3[A-CEGHJ-NPRS]) ?\\d[ABCEGHJ-NPRSTV-Z]\\d$" + ], + "examples": [ + "T1Y 1A1", + "T2A 1A1", + "T2B 1A1" + ], + "source": "derived from GeoNames postal data (sub, r=30km)", + "codes_matched": 35, + "notes": "Calgary uses T1Y, T2A-T2Z and T3A-T3R; the T1/T3 blocks also include nearby communities. Dataset is fsa-level; local delivery unit appended. Enumerated from 35 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Halifax", + "state_province": "Nova Scotia", + "iso3166_2": "CA-NS", + "country": "Canada", + "iso3166_1": "CA", + "latitude": 44.6488, + "longitude": -63.5752, + "local_languages": [ + "en-CA" + ], + "postal_code": { + "country_format_regex": "^[ABCEGHJ-NPRSTVXY]\\d[ABCEGHJ-NPRSTV-Z] ?\\d[ABCEGHJ-NPRSTV-Z]\\d$", + "city_regex": [ + "^B3[HJ-NPRS] ?\\d[ABCEGHJ-NPRSTV-Z]\\d$" + ], + "examples": [ + "B3H 1A1", + "B3J 1A1", + "B3K 1A1" + ], + "source": "derived from GeoNames postal data (sub, r=25km)", + "codes_matched": 9, + "notes": "Halifax peninsula/urban = B3x. The wider municipality also uses B2x and B4x. Dataset is fsa-level; local delivery unit appended. Enumerated from 9 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Mexico City", + "state_province": "Mexico City", + "iso3166_2": "MX-CMX", + "country": "Mexico", + "iso3166_1": "MX", + "latitude": 19.4326, + "longitude": -99.1332, + "local_languages": [ + "es-MX" + ], + "postal_code": { + "country_format_regex": "^\\d{5}$", + "city_regex": [ + "^(?:0(?:1(?:[0247]\\d|1[0-8]|3[1-478]|5[0-689]|6[0-5]|8[0-24-7]|9[049])|2(?:[13][0-6]|[49]\\d|0[0-24-9]|2[03-6]|5[0-4]|6[03-8]|7[0-35-9]|8[013-7])|3(?:[3479][0-4]|0[0-2]|1[09]|2[02-4]|5\\d|6[0-6]|8[0-24])|4(?:0[0-4]|1[0-2]|2[013-8]|3\\d|4[0-24-9]|5[013]|6[0-6]|7[0-3]|8[013-579]|9[0-8])|5(?:0[0236]|1[0-3]|2[0-46-8]|3[1-467]|5[03]|6[02])|6(?:0\\d|1[047]|2[024578]|3[05]|4[0357]|5[089]|6[09]|7[024689]|8[024-9]|9[029])|7(?:[289]\\d|[3-5][0-8]|0[0-24-9]|1[013-9]|6[02-8]|7[02-9])|8(?:[028][0-4]|1[06-8]|3[0-2]|4[02]|5[0-268]|6[0-25]|7[0-367]|9[0-3])|9(?:[278]\\d|[14][0-8]|0[0-46-9]|3[0-356]|5[0-35-7]|6[02-46-9]|9[0-467]))|1(?:0(?:[04]0|1[013]|2[09]|3[0235-8]|5[08]|6[0-5]|7[0-4]|8[1-4]|9[0-2])|1(?:[17]0|[24]\\d|[38][0-7]|0[04]|5[0-689]|6[0145]|9[1-35])|2(?:0[078]|20)|3(?:0[0367]|1[128]|2[013578]|3[016]|4[13]|55|6[04])|4(?:[03]\\d|1[1-6]|2[0-7]|4[0-68]|6[0-5])|5(?:[48][0-7]|0[0-2]|1[02]|2\\d|3[0-57-9]|5[0-4]|6[0-8]|7[0-5]|9[04-9])|6(?:0[1-57]|10|3[0-4]|4[14]|62|7[1-58]|8[168])))\\d$" + ], + "examples": [ + "01000", + "01010", + "01020" + ], + "source": "derived from GeoNames postal data (radius, r=20km)", + "codes_matched": 1207, + "notes": "Mexico City = 01000-16999. Compressed one digit short of full length. Enumerated from 1207 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Tijuana", + "state_province": "Baja California", + "iso3166_2": "MX-BCN", + "country": "Mexico", + "iso3166_1": "MX", + "latitude": 32.5149, + "longitude": -117.0382, + "local_languages": [ + "es-MX" + ], + "postal_code": { + "country_format_regex": "^\\d{5}$", + "city_regex": [ + "^22(?:0(?:[23][045]|00|4[46])|1(?:15|2[03-7]|6[03-5]|70|94)|2(?:06|1[04-7]|50)|4(?:0[056]|24|4[046]|57)|5(?:0[04-6]|1[05-7]|2[3-6]|3[04-7]|5[057]|6[03-7])|6(?:0[04-6]|1[046]|2[4-6]|4[03-5]|5[04]|6[03-7]))$" + ], + "examples": [ + "22000", + "22020", + "22024" + ], + "source": "derived from GeoNames postal data (radius, r=20km)", + "codes_matched": 85, + "notes": "Tijuana = 22000-22699. Enumerated from 85 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Monterrey", + "state_province": "Nuevo León", + "iso3166_2": "MX-NLE", + "country": "Mexico", + "iso3166_1": "MX", + "latitude": 25.6866, + "longitude": -100.3161, + "local_languages": [ + "es-MX" + ], + "postal_code": { + "country_format_regex": "^\\d{5}$", + "city_regex": [ + "^64(?:0(?:[235-7]0|0[04679]|1[089]|4[09])|1(?:[239]0|0[024-9]|1[06-9]|4[058]|5[07-9]|6[05-8]|7[08]|8[06])|2(?:[7-9]0|0[04-689]|1[0589]|2[05-9]|3[03-8]|4[04-9]|5[089]|6[04-69])|3(?:[0-257-9]0|3[09]|4[04-9]|6[05-9])|4(?:[0135-79]0|4[02]|8[089])|5(?:[06][08]|[58]0|1[07]|3[06]|4[09]|7[01])|6(?:[06]0|[45][09]|1[089]|2[03])|7(?:[037]0|15|2[03]|5[034]|6[0459]|8[038]|9[08])|8(?:[0-28]0|3[0346]|4[04-69]|5[089]|6[05]|78|9[037-9])|9(?:[1356]0|[04][09]|2[056]|7[089]|8[034679]|9[067]))$" + ], + "examples": [ + "64000", + "64004", + "64006" + ], + "source": "derived from GeoNames postal data (radius, r=18km)", + "codes_matched": 212, + "notes": "Monterrey city = 64000-64999; the metro area extends into 65xxx-67xxx. Enumerated from 212 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Guadalajara", + "state_province": "Jalisco", + "iso3166_2": "MX-JAL", + "country": "Mexico", + "iso3166_1": "MX", + "latitude": 20.6597, + "longitude": -103.3496, + "local_languages": [ + "es-MX" + ], + "postal_code": { + "country_format_regex": "^\\d{5}$", + "city_regex": [ + "^44(?:009|1(?:[01346-9]0|5[08])|2(?:[0378]0|1[04-9]|2[07]|4[0679]|5[07-9]|6[05-8]|9[089])|3(?:[3-8]0|0[067]|2[09]|9[0589])|4(?:[02457]0|1[09]|3[08]|6[079]|9[03])|5(?:[1268]0|[045][09]|3[058])|6(?:[029]0|[18][09]|3[0589]|4[78]|5[06-9]|6[0578]|7[089])|7(?:[078]0|1[069]|2[03-79]|3[079]|4[08]|5[057]|6[05689]|9[09])|8(?:[046]0|1[0578]|2[0457-9]|7[09]|9[05-9])|9(?:[039]0|[14][089]|2[09]|5[069]|6[0679]|7[078]|8[04-79]))$" + ], + "examples": [ + "44009", + "44100", + "44110" + ], + "source": "derived from GeoNames postal data (radius, r=15km)", + "codes_matched": 183, + "notes": "Guadalajara city = 44100-44999; Zapopan/Tlaquepaque use 45xxx. Enumerated from 183 observed codes; the country_format_regex is the permissive fallback." + } + }, + { + "city": "Ensenada", + "state_province": "Baja California", + "iso3166_2": "MX-BCN", + "country": "Mexico", + "iso3166_1": "MX", + "latitude": 31.8667, + "longitude": -116.5964, + "local_languages": [ + "es-MX" + ], + "postal_code": { + "country_format_regex": "^\\d{5}$", + "city_regex": [ + "^228(?:[03]0|1[02-589]|2[023]|4[027]|5[0259]|6[03]|7[0239]|8[07-9]|9[578])$" + ], + "examples": [ + "22800", + "22810", + "22812" + ], + "source": "derived from GeoNames postal data (radius, r=15km)", + "codes_matched": 32, + "notes": "Ensenada = 22800-22899. Enumerated from 32 observed codes; the country_format_regex is the permissive fallback." + } } - } -] + ] +} \ No newline at end of file diff --git a/tooling/pipeline/src/application_options/parse_arguments.cc b/tooling/pipeline/src/application_options/parse_arguments.cc index 1822584b..bf3b37b6 100644 --- a/tooling/pipeline/src/application_options/parse_arguments.cc +++ b/tooling/pipeline/src/application_options/parse_arguments.cc @@ -38,9 +38,8 @@ std::optional ParseArguments( "Number of layers to offload to GPU"); }; - // --mocked, --model, and --openai are mutually exclusive; validation is - // enforced below rather than at registration to produce a clear - // diagnostic message. + // --mocked, --model, and --openai are mutually exclusive, validated below + // to produce a clear diagnostic message. auto add_generator_options = [&]() -> void { opt("mocked", prog_opts::bool_switch(), "Use mocked generator for brewery/user data"); @@ -154,9 +153,7 @@ std::optional ParseArguments( return std::nullopt; } - // Prompt directory is only meaningful for live inference (Llama or - // OpenAI) — the mock generator has no use for it and should not - // require it to be present. + // Prompt directory is required only for live inference (Llama or OpenAI). if (!use_mocked && options.pipeline.prompt_dir.empty()) { const std::string msg = "Invalid arguments: --prompt-dir is required when not using " diff --git a/tooling/pipeline/src/biergarten_pipeline_orchestrator/biergarten_pipeline_orchestrator.cc b/tooling/pipeline/src/biergarten_pipeline_orchestrator/biergarten_pipeline_orchestrator.cc index 59b09ed0..eae518aa 100644 --- a/tooling/pipeline/src/biergarten_pipeline_orchestrator/biergarten_pipeline_orchestrator.cc +++ b/tooling/pipeline/src/biergarten_pipeline_orchestrator/biergarten_pipeline_orchestrator.cc @@ -13,12 +13,10 @@ BiergartenPipelineOrchestrator::BiergartenPipelineOrchestrator( std::unique_ptr generator, std::unique_ptr exporter, std::unique_ptr curated_data_service, - std::unique_ptr postal_code_service, const ApplicationOptions& application_options) : logger_(std::move(logger)), context_service_(std::move(context_service)), generator_(std::move(generator)), exporter_(std::move(exporter)), curated_data_service_(std::move(curated_data_service)), - postal_code_service_(std::move(postal_code_service)), application_options_(application_options) {} \ No newline at end of file diff --git a/tooling/pipeline/src/biergarten_pipeline_orchestrator/generate_breweries.cc b/tooling/pipeline/src/biergarten_pipeline_orchestrator/generate_breweries.cc index 2fa65463..1e4c4e1a 100644 --- a/tooling/pipeline/src/biergarten_pipeline_orchestrator/generate_breweries.cc +++ b/tooling/pipeline/src/biergarten_pipeline_orchestrator/generate_breweries.cc @@ -4,54 +4,16 @@ */ #include -#include #include -#include #include #include #include "biergarten_pipeline_orchestrator.h" +#include "biergarten_pipeline_orchestrator/coords.h" #include "services/logging/logger.h" -struct Coords { - double longitude; - double latitude; -}; - -// @todo find a better home for this -namespace { -constexpr double kEarthRadiusKm = 6371.0; - -double DegreesToRadians(double degrees) { - return degrees * std::numbers::pi / 180.0; -} - -double RadiansToDegrees(double radians) { - return radians * 180.0 / std::numbers::pi; -} -} // namespace - -static Coords GetRandomCoordsWithinRange(const Coords& centre, - const int distance_km, - std::mt19937& rng) { - std::uniform_real_distribution angle_dist(0.0, - 2.0 * std::numbers::pi); - std::uniform_real_distribution unit_dist(0.0, 1.0); - - const double angle_radians = angle_dist(rng); - // sqrt() keeps points uniformly distributed over the disc's area rather - // than clustering near the centre. - const double radius_km = distance_km * std::sqrt(unit_dist(rng)); - - const double delta_latitude_degrees = - RadiansToDegrees(radius_km * std::cos(angle_radians) / kEarthRadiusKm); - const double delta_longitude_degrees = RadiansToDegrees( - radius_km * std::sin(angle_radians) / - (kEarthRadiusKm * std::cos(DegreesToRadians(centre.latitude)))); - - return Coords{.longitude = centre.longitude + delta_longitude_degrees, - .latitude = centre.latitude + delta_latitude_degrees}; -} +using biergarten_pipeline_orchestrator_internal::Coords; +using biergarten_pipeline_orchestrator_internal::GetRandomCoordsWithinRange; void BiergartenPipelineOrchestrator::GenerateBreweries( std::span cities) { @@ -70,8 +32,6 @@ void BiergartenPipelineOrchestrator::GenerateBreweries( try { const BreweryResult brewery = generator_->GenerateBrewery(enriched_city); - const std::string postal_code = - postal_code_service_->GeneratePostalCode(enriched_city.location); constexpr int kMaxDistanceFromCentreKm = 5; const Coords city_centre{.longitude = enriched_city.location.longitude, @@ -81,7 +41,6 @@ void BiergartenPipelineOrchestrator::GenerateBreweries( return BreweryRecord{ .address = BreweryAddress{.city = enriched_city.location, - .postal_code = postal_code, .longitude = brewery_coords.longitude, .latitude = brewery_coords.latitude}, .brewery = brewery}; diff --git a/tooling/pipeline/src/biergarten_pipeline_orchestrator/generate_users.cc b/tooling/pipeline/src/biergarten_pipeline_orchestrator/generate_users.cc index 7dd2fb60..c3b16afa 100644 --- a/tooling/pipeline/src/biergarten_pipeline_orchestrator/generate_users.cc +++ b/tooling/pipeline/src/biergarten_pipeline_orchestrator/generate_users.cc @@ -15,9 +15,13 @@ #include #include "biergarten_pipeline_orchestrator.h" +#include "biergarten_pipeline_orchestrator/coords.h" #include "services/curated_data/curated_json_data_service.h" #include "services/logging/logger.h" +using biergarten_pipeline_orchestrator_internal::Coords; +using biergarten_pipeline_orchestrator_internal::GetRandomCoordsWithinRange; + namespace { std::string Sanitize(std::string_view value) { std::string out; @@ -135,12 +139,17 @@ void BiergartenPipelineOrchestrator::GenerateUsers( try { const UserResult user = generator_->GenerateUser(city, persona, sampled_name); - const std::string postal_code = - postal_code_service_->GeneratePostalCode(city.location); + + constexpr int kMaxDistanceFromCentreKm = 5; + const Coords city_centre{.longitude = city.location.longitude, + .latitude = city.location.latitude}; + const Coords user_coords = GetRandomCoordsWithinRange( + city_centre, kMaxDistanceFromCentreKm, rng); return UserRecord{ - .address = - UserAddress{.city = city.location, .postal_code = postal_code}, + .address = UserAddress{.city = city.location, + .longitude = user_coords.longitude, + .latitude = user_coords.latitude}, .user = user, .email = BuildEmail(sampled_name, used_email_local_parts), .date_of_birth = GenerateDateOfBirth(rng), diff --git a/tooling/pipeline/src/biergarten_pipeline_orchestrator/log_results.cc b/tooling/pipeline/src/biergarten_pipeline_orchestrator/log_results.cc index 1b27752a..dee24693 100644 --- a/tooling/pipeline/src/biergarten_pipeline_orchestrator/log_results.cc +++ b/tooling/pipeline/src/biergarten_pipeline_orchestrator/log_results.cc @@ -26,7 +26,6 @@ void BiergartenPipelineOrchestrator::LogResults() const { {"country", city.country}, {"state_province", city.state_province}, {"iso3166_2", city.iso3166_2}, - {"postal_code", address.postal_code}, {"longitude", address.longitude}, {"latitude", address.latitude}, }}}); diff --git a/tooling/pipeline/src/data_generation/generation_json_validation.cc b/tooling/pipeline/src/data_generation/generation_json_validation.cc index 42344f16..29ce700d 100644 --- a/tooling/pipeline/src/data_generation/generation_json_validation.cc +++ b/tooling/pipeline/src/data_generation/generation_json_validation.cc @@ -58,9 +58,7 @@ std::string CondenseWhitespace(std::string_view text) { return out; } -// Guard against truncating in the first half of the string. -// This preserves the critical opening content and avoids cutting critical -// context words early in the region description. +// Keeps truncation past the string's midpoint, preserving the critical opening content. constexpr size_t kTruncationGuardDivisor = 2; bool ReadRequiredTrimmedStringField(const boost::json::object& obj, diff --git a/tooling/pipeline/src/data_generation/openai/generate_brewery.cc b/tooling/pipeline/src/data_generation/openai/generate_brewery.cc index 3f39fe87..c44d057c 100644 --- a/tooling/pipeline/src/data_generation/openai/generate_brewery.cc +++ b/tooling/pipeline/src/data_generation/openai/generate_brewery.cc @@ -36,10 +36,7 @@ std::string FormatLocalLanguageCodes( constexpr int kBreweryMaxTokens = 2800; -// Structured outputs already guarantee schema-valid JSON, so retries here -// are only for transient failures or the model returning placeholder text -// -- not for malformed JSON shape, unlike LlamaGenerator's grammar-assisted -// retry loop. +// Structured outputs already guarantee schema-valid JSON, so retries here only cover transient failures or the model returning placeholder text. constexpr int kMaxAttempts = 2; } // namespace @@ -54,9 +51,7 @@ BreweryResult OpenAIGenerator::GenerateBrewery( FormatLocalLanguageCodes(location.local_languages); /** - * Load brewery system prompt via the injected prompt directory. The - * same file LlamaGenerator uses -- the prompt content is backend - * agnostic. + * Loads the backend-agnostic brewery system prompt via the injected prompt directory. */ const std::string system_prompt = prompt_directory_->Load("BREWERY_GENERATION"); diff --git a/tooling/pipeline/src/data_generation/openai/generate_user.cc b/tooling/pipeline/src/data_generation/openai/generate_user.cc index ab792104..592a1245 100644 --- a/tooling/pipeline/src/data_generation/openai/generate_user.cc +++ b/tooling/pipeline/src/data_generation/openai/generate_user.cc @@ -16,8 +16,7 @@ namespace { constexpr int kUserMaxTokens = 1200; -// Structured outputs already guarantee schema-valid JSON, so retries here -// are only for transient failures or placeholder text -- not JSON shape. +// Structured outputs already guarantee schema-valid JSON, so retries here only cover transient failures or placeholder text. constexpr int kMaxAttempts = 2; } // namespace diff --git a/tooling/pipeline/src/main.cc b/tooling/pipeline/src/main.cc index 32b01709..ebed60a0 100644 --- a/tooling/pipeline/src/main.cc +++ b/tooling/pipeline/src/main.cc @@ -87,36 +87,16 @@ int main(const int argc, char** argv) { di::bind().to(options), di::bind().to(model_path), di::bind().to(), - di::bind().to( - [options, - &log_producer]() -> std::unique_ptr { - if (options.generator.mode == GeneratorMode::kMock) { - log_producer->Log( - {.level = LogLevel::Info, - .phase = PipelinePhase::Startup, - .message = "Postal code: mock (curated examples)"}); - - return std::make_unique(); - } - - log_producer->Log( - {.level = LogLevel::Info, - .phase = PipelinePhase::Startup, - .message = - "Postal code: Xeger (regex-based generation)"}); - - return std::make_unique(); - }), di::bind().to( [options, &log_producer]() -> std::unique_ptr { - // if (options.generator.mode == GeneratorMode::kMock) { - // log_producer->Log({.level = LogLevel::Info, - // .phase = PipelinePhase::Startup, - // .message = "Curated data: mock"}); - // - // return std::make_unique(); - // } + if (options.generator.mode == GeneratorMode::kMock) { + log_producer->Log({.level = LogLevel::Info, + .phase = PipelinePhase::Startup, + .message = "Curated data: mock"}); + + return std::make_unique(); + } log_producer->Log({.level = LogLevel::Info, .phase = PipelinePhase::Startup, @@ -214,9 +194,7 @@ int main(const int argc, char** argv) { } #ifdef BIERGARTEN_MOCK_ONLY - // Only reachable when mode == Llama: Mock and OpenAI are - // handled above and don't need llama.cpp, but LlamaGenerator - // itself is not linked into a BIERGARTEN_MOCK_ONLY build. + // Only reachable when mode == Llama, which requires llama.cpp and is excluded from a BIERGARTEN_MOCK_ONLY build. throw std::runtime_error( "LlamaGenerator is unavailable in a BIERGARTEN_MOCK_ONLY " "build"); diff --git a/tooling/pipeline/src/services/curated_data/curated_json_data_service.cc b/tooling/pipeline/src/services/curated_data/curated_json_data_service.cc index eb17df45..a0690063 100644 --- a/tooling/pipeline/src/services/curated_data/curated_json_data_service.cc +++ b/tooling/pipeline/src/services/curated_data/curated_json_data_service.cc @@ -77,12 +77,11 @@ static PostalCodeSpec ReadPostalCodeSpec(const boost::json::object& object) { } namespace { -boost::json::value ParseJsonFile(const std::filesystem::path& filepath, - const char* what) { +boost::json::value ParseJsonFile(const std::filesystem::path& filepath) { std::ifstream input(filepath); if (!input.is_open()) { throw std::runtime_error( - std::format("Failed to open {} file: {}", what, filepath.string())); + std::format("Failed to open file: {}", filepath.string())); } std::stringstream buffer; @@ -92,7 +91,7 @@ boost::json::value ParseJsonFile(const std::filesystem::path& filepath, boost::json::value root = boost::json::parse(buffer.str(), error); if (error) { throw std::runtime_error( - std::format("Failed to parse {} JSON: {}", what, error.message())); + std::format("Failed to parse JSON: {}", error.message())); } return root; } @@ -126,34 +125,47 @@ const LocationsList& CuratedJsonDataService::LoadLocations() { if (!cache_.locations.empty()) { return cache_.locations; } + boost::json::value root_val = + ParseJsonFile(filepaths_.locations_path); - const boost::json::value root = - ParseJsonFile(filepaths_.locations_path, "locations"); - - if (!root.is_array()) { + if (!root_val.is_object()) { throw std::runtime_error( - "Invalid locations JSON: root element must be an array"); + "Invalid locations JSON: root element must be an object"); } - LocationsList locations; - const auto& items = root.as_array(); - locations.reserve(items.size()); + boost::json::object root_obj = root_val.as_object(); - for (const auto& item : items) { + if (!root_obj.contains("cities")) + { + throw std::runtime_error( + "Invalid locations JSON: root object must contain a 'cities' key"); + } + + if (!root_obj["cities"].is_array()) + { + throw std::runtime_error( + "Invalid locations JSON: 'cities' key must be an array"); + } + + LocationsList locations; + const boost::json::array& cities = root_obj["cities"].as_array(); + locations.reserve(cities.size()); + + for (const boost::json::value& item : cities) { if (!item.is_object()) { throw std::runtime_error( "Invalid locations JSON: each entry must be an object"); } - const auto& object = item.as_object(); + const boost::json::object& object = item.as_object(); locations.push_back(City{ .city = ReadRequiredString(object, "city"), .state_province = ReadRequiredString(object, "state_province"), .iso3166_2 = ReadRequiredString(object, "iso3166_2"), .country = ReadRequiredString(object, "country"), .iso3166_1 = ReadRequiredString(object, "iso3166_1"), - .latitude = ReadRequiredDouble(object, "latitude"), .longitude = ReadRequiredDouble(object, "longitude"), + .latitude = ReadRequiredDouble(object, "latitude"), .local_languages = ReadRequiredStringArray(object, "local_languages"), .postal_code = ReadPostalCodeSpec(object), }); @@ -168,7 +180,7 @@ const PersonasList& CuratedJsonDataService::LoadPersonas() { } const boost::json::value root = - ParseJsonFile(filepaths_.personas_path, "personas"); + ParseJsonFile(filepaths_.personas_path); if (!root.is_array()) { throw std::runtime_error( @@ -176,10 +188,10 @@ const PersonasList& CuratedJsonDataService::LoadPersonas() { } PersonasList personas; - const auto& items = root.as_array(); + const boost::json::array& items = root.as_array(); personas.reserve(items.size()); - for (const auto& item : items) { + for (const boost::json::value& item : items) { if (!item.is_object()) { throw std::runtime_error( "Invalid personas JSON: each entry must be an object"); @@ -204,7 +216,7 @@ const ForenamesByCountryMap& CuratedJsonDataService::LoadForenamesByCountry() { } const boost::json::value root = - ParseJsonFile(filepaths_.forenames_path, "forenames-by-country"); + ParseJsonFile(filepaths_.forenames_path); if (!root.is_object()) { throw std::runtime_error( @@ -252,7 +264,7 @@ const SurnamesByCountryMap& CuratedJsonDataService::LoadSurnamesByCountry() { } const boost::json::value root = - ParseJsonFile(filepaths_.surnames_path, "surnames-by-country"); + ParseJsonFile(filepaths_.surnames_path); if (!root.is_object()) { throw std::runtime_error( diff --git a/tooling/pipeline/src/services/postal_code/xeger_postal_code_service.cc b/tooling/pipeline/src/services/postal_code/xeger_postal_code_service.cc deleted file mode 100644 index 761f80df..00000000 --- a/tooling/pipeline/src/services/postal_code/xeger_postal_code_service.cc +++ /dev/null @@ -1,44 +0,0 @@ -/** - * @file services/postal_code/xeger_postal_code_service.cc - * @brief XegerPostalCodeService::GeneratePostalCode() implementation. - */ - -#include "services/postal_code/xeger_postal_code_service.h" - -#include -#include -#include -#include -#include -#include - -#include "services/xeger/xeger.h" - -XegerPostalCodeService::XegerPostalCodeService() - : rng_(std::random_device{}()) {} - -std::string XegerPostalCodeService::GeneratePostalCode(const City& city) { - const PostalCodeSpec& spec = city.postal_code; - - std::vector city_patterns; - for (const std::string& pattern : spec.city_regexes) { - if (!pattern.empty()) { - city_patterns.push_back(pattern); - } - } - - std::string_view pattern; - if (!city_patterns.empty()) { - std::uniform_int_distribution dist(0, city_patterns.size() - 1); - pattern = city_patterns[dist(rng_)]; - } else if (!spec.country_format_regex.empty()) { - pattern = spec.country_format_regex; - } else { - throw std::runtime_error(std::format( - "XegerPostalCodeService: no postal-code pattern available for " - "city '{}'", - city.city)); - } - - return GenerateStringFromRegex(pattern, rng_); -} diff --git a/tooling/pipeline/src/services/sqlite/process_record.cc b/tooling/pipeline/src/services/sqlite/process_record.cc index 964892a7..64b575b7 100644 --- a/tooling/pipeline/src/services/sqlite/process_record.cc +++ b/tooling/pipeline/src/services/sqlite/process_record.cc @@ -170,13 +170,6 @@ uint64_t SqliteExportService::ProcessRecord(const BreweryRecord& brewery) { sqlite_export_service_internal::kBreweryAddressCityIdBindIndex, .value = city_id, .action = "Failed to bind SQLite brewery address city id"}); - sqlite_export_service_internal::Bind( - insert_brewery_address_stmt_, - sqlite_export_service_internal::BoundParam{ - .index = sqlite_export_service_internal:: - kBreweryAddressPostalCodeBindIndex, - .value = brewery.address.postal_code, - .action = "Failed to bind SQLite brewery address postal code"}); sqlite_export_service_internal::Bind( insert_brewery_address_stmt_, sqlite_export_service_internal::BoundParam{ diff --git a/tooling/pipeline/src/services/sqlite/process_user_record.cc b/tooling/pipeline/src/services/sqlite/process_user_record.cc index 322fc382..a48df59f 100644 --- a/tooling/pipeline/src/services/sqlite/process_user_record.cc +++ b/tooling/pipeline/src/services/sqlite/process_user_record.cc @@ -87,11 +87,18 @@ uint64_t SqliteExportService::ProcessRecord(const UserRecord& user) { .action = "Failed to bind SQLite user address city id"}); sqlite_export_service_internal::Bind( insert_user_address_stmt_, - sqlite_export_service_internal::BoundParam{ + sqlite_export_service_internal::BoundParam{ .index = - sqlite_export_service_internal::kUserAddressPostalCodeBindIndex, - .value = user.address.postal_code, - .action = "Failed to bind SQLite user address postal code"}); + sqlite_export_service_internal::kUserAddressLongitudeBindIndex, + .value = user.address.longitude, + .action = "Failed to bind SQLite user address longitude"}); + sqlite_export_service_internal::Bind( + insert_user_address_stmt_, + sqlite_export_service_internal::BoundParam{ + .index = + sqlite_export_service_internal::kUserAddressLatitudeBindIndex, + .value = user.address.latitude, + .action = "Failed to bind SQLite user address latitude"}); sqlite_export_service_internal::StepStatement( db_handle_, insert_user_address_stmt_, diff --git a/web/backend/Database/Database.Seed/Database.Seed.csproj b/web/backend/Database/Database.Seed/Database.Seed.csproj index ee222915..8c02e66d 100644 --- a/web/backend/Database/Database.Seed/Database.Seed.csproj +++ b/web/backend/Database/Database.Seed/Database.Seed.csproj @@ -8,20 +8,20 @@ - - - - + + + + - - - - - + + + + + - + diff --git a/web/backend/Database/Database.Seed/DatabaseHelpers/ConnectionStrings.cs b/web/backend/Database/Database.Seed/DatabaseHelpers/ConnectionStrings.cs index 535d1a0a..cc0733f2 100644 --- a/web/backend/Database/Database.Seed/DatabaseHelpers/ConnectionStrings.cs +++ b/web/backend/Database/Database.Seed/DatabaseHelpers/ConnectionStrings.cs @@ -12,6 +12,5 @@ public class ConnectionStrings public static string GetSqlServerConnectionString(IConfiguration configuration) => SqlConnectionStringHelper.BuildConnectionString(configuration); - public static string SqliteConnectionString => "Data Source=SeedData/open-ai-test2.sqlite"; - // "Data Source=SeedData/biergarten_seed_2026-07-20T05-46-02.993511Z.sqlite"; + public static string SqliteConnectionString => "Data Source=SeedData/biergarten_seed_2026-08-24T01-52-09.841693Z.sqlite"; } diff --git a/web/backend/Database/Database.Seed/Geocoding/NominatimReverseGeocoder.cs b/web/backend/Database/Database.Seed/Geocoding/NominatimReverseGeocoder.cs new file mode 100644 index 00000000..28d82c71 --- /dev/null +++ b/web/backend/Database/Database.Seed/Geocoding/NominatimReverseGeocoder.cs @@ -0,0 +1,124 @@ +using System.Globalization; +using System.Net.Http.Json; +using System.Text.Json.Serialization; + +namespace Database.Seed.Geocoding; + +public sealed record ReverseGeocodeResult(string AddressLine1, string PostalCode); + +internal sealed record NominatimAddress +{ + [JsonPropertyName("house_number")] + public string? HouseNumber { get; init; } + + [JsonPropertyName("road")] + public string? Road { get; init; } + + [JsonPropertyName("postcode")] + public string? Postcode { get; init; } +} + +internal sealed record NominatimReverseGeocodeResponse +{ + [JsonPropertyName("address")] + public NominatimAddress? Address { get; init; } + + [JsonPropertyName("error")] + public string? Error { get; init; } +} + +/// +/// Reverse geocodes coordinates into street addresses via the public Nominatim API +/// (https://nominatim.openstreetmap.org), following its usage policy of a single +/// identifying User-Agent and at most one request per second +/// (https://operations.osmfoundation.org/policies/nominatim/). +/// +public sealed class NominatimReverseGeocoder : IDisposable +{ + private const string ReverseEndpoint = "https://nominatim.openstreetmap.org/reverse"; + private static readonly TimeSpan MinRequestInterval = TimeSpan.FromSeconds(1); + + private readonly HttpClient _httpClient; + private readonly SemaphoreSlim _rateLimitLock = new(1, 1); + private DateTime _lastRequestUtc = DateTime.MinValue; + + public NominatimReverseGeocoder(string userAgent) + { + _httpClient = new HttpClient(); + _httpClient.DefaultRequestHeaders.UserAgent.ParseAdd(userAgent); + } + + /// + /// Reverse geocodes a coordinate pair, returning null if Nominatim has no address + /// for the point or the request fails so callers can fall back to a placeholder address. + /// + public async Task ReverseGeocodeAsync( + double longitude, + double latitude, + CancellationToken cancellationToken = default + ) + { + await WaitForRateLimitAsync(cancellationToken); + + string url = + $"{ReverseEndpoint}?format=jsonv2" + + $"&lat={latitude.ToString(CultureInfo.InvariantCulture)}" + + $"&lon={longitude.ToString(CultureInfo.InvariantCulture)}" + + "&zoom=18&addressdetails=1"; + + try + { + NominatimReverseGeocodeResponse? response = + await _httpClient.GetFromJsonAsync( + url, + cancellationToken + ); + + if (response?.Address is null || response.Error is not null) + return null; + + string addressLine1 = string.Join( + ' ', + new[] { response.Address.HouseNumber, response.Address.Road }.Where( + part => !string.IsNullOrWhiteSpace(part) + ) + ); + + return string.IsNullOrWhiteSpace(addressLine1) + ? null + : new ReverseGeocodeResult(addressLine1, response.Address.Postcode ?? string.Empty); + } + catch (HttpRequestException) + { + return null; + } + catch (TaskCanceledException) when (!cancellationToken.IsCancellationRequested) + { + // HttpClient's own timeout elapsed here. + return null; + } + } + + private async Task WaitForRateLimitAsync(CancellationToken cancellationToken) + { + await _rateLimitLock.WaitAsync(cancellationToken); + try + { + TimeSpan elapsed = DateTime.UtcNow - _lastRequestUtc; + if (elapsed < MinRequestInterval) + await Task.Delay(MinRequestInterval - elapsed, cancellationToken); + + _lastRequestUtc = DateTime.UtcNow; + } + finally + { + _rateLimitLock.Release(); + } + } + + public void Dispose() + { + _httpClient.Dispose(); + _rateLimitLock.Dispose(); + } +} diff --git a/web/backend/Database/Database.Seed/PipelineData/BreweryAddress.cs b/web/backend/Database/Database.Seed/PipelineData/BreweryAddress.cs index 7d373338..83178358 100644 --- a/web/backend/Database/Database.Seed/PipelineData/BreweryAddress.cs +++ b/web/backend/Database/Database.Seed/PipelineData/BreweryAddress.cs @@ -4,8 +4,6 @@ public sealed record BreweryAddress { public required City City { get; init; } - public required string PostalCode { get; init; } - public required double Longitude { get; init; } public required double Latitude { get; init; } diff --git a/web/backend/Database/Database.Seed/PipelineData/UserAddress.cs b/web/backend/Database/Database.Seed/PipelineData/UserAddress.cs index 6b63a17c..d4f5a7d1 100644 --- a/web/backend/Database/Database.Seed/PipelineData/UserAddress.cs +++ b/web/backend/Database/Database.Seed/PipelineData/UserAddress.cs @@ -4,5 +4,7 @@ public sealed record UserAddress { public required City City { get; init; } - public required string PostalCode { get; init; } + public required double Longitude { get; init; } + + public required double Latitude { get; init; } } diff --git a/web/backend/Database/Database.Seed/Program.cs b/web/backend/Database/Database.Seed/Program.cs index e6be1a44..a504e03e 100644 --- a/web/backend/Database/Database.Seed/Program.cs +++ b/web/backend/Database/Database.Seed/Program.cs @@ -1,4 +1,5 @@ using Database.Seed.DatabaseHelpers; +using Database.Seed.Geocoding; using Database.Seed.PipelineData; using Database.Seed.Sqlite; using Domain.Entities; @@ -16,6 +17,9 @@ using Microsoft.Extensions.Configuration; using Microsoft.Extensions.DependencyInjection; using Spectre.Console; +const string NominatimUserAgent = + "TheBiergartenApp-Seeder/1.0 (+https://github.com/aaronpo97/the-biergarten-app)"; + return await RunAsync(); static async Task RunAsync() @@ -100,23 +104,34 @@ static async Task RunAsync() } ); - await AnsiConsole - .Status() - .Spinner(Spinner.Known.Dots) - .SpinnerStyle(Style.Parse("green")) - .StartAsync( - "Loading brewery data into target database...", - async ctx => - { - await LoadBreweriesIntoDatabaseAsync( - breweryRepository, - locationRepository, - seedData.Breweries, - postedByIds - ); - ctx.Status("Brewery data loaded into target database."); - } - ); + List geocodingWarnings = []; + + using (NominatimReverseGeocoder geocoder = new(NominatimUserAgent)) + { + await AnsiConsole + .Status() + .Spinner(Spinner.Known.Dots) + .SpinnerStyle(Style.Parse("green")) + .StartAsync( + "Loading brewery data into target database...", + async ctx => + { + await LoadBreweriesIntoDatabaseAsync( + breweryRepository, + locationRepository, + geocoder, + seedData.Breweries, + postedByIds, + geocodingWarnings, + ctx + ); + ctx.Status("Brewery data loaded into target database."); + } + ); + } + + foreach (string warning in geocodingWarnings) + AnsiConsole.MarkupLine($"[yellow]![/] {warning.EscapeMarkup()}"); return 0; } @@ -165,20 +180,18 @@ static async Task> LoadUsersIntoDatabaseAsync( return userAccountIds; } -/// -/// Persists each record, resolving (and creating, if needed) its -/// Country/StateProvince/City chain via . The pipeline -/// data has no street-level address or a specific user tied to each brewery, so a placeholder -/// address is used and PostedById is assigned round-robin from -/// to keep seeding deterministic across runs. -/// static async Task LoadBreweriesIntoDatabaseAsync( IBreweryRepository breweryRepository, ILocationRepository locationRepository, + NominatimReverseGeocoder geocoder, IReadOnlyList breweries, - IReadOnlyList posterUserIds + IReadOnlyList posterUserIds, + List geocodingWarnings, + StatusContext ctx ) { + const string placeholderAddressLine1 = "Address unavailable"; + if (posterUserIds.Count == 0) throw new InvalidOperationException( "Cannot load breweries without any registered users."); @@ -187,6 +200,10 @@ static async Task LoadBreweriesIntoDatabaseAsync( { BreweryRecord breweryRecord = breweries[i]; + ctx.Status( + $"Geocoding and loading brewery {i + 1}/{breweries.Count} into target database..." + ); + Guid cityId = await locationRepository.GetOrCreateCityIdAsync( new CityLocation( breweryRecord.Address.City.CityName, @@ -197,6 +214,18 @@ static async Task LoadBreweriesIntoDatabaseAsync( ) ); + ReverseGeocodeResult? geocoded = await geocoder.ReverseGeocodeAsync( + breweryRecord.Address.Longitude, + breweryRecord.Address.Latitude + ); + + if (geocoded is null) + geocodingWarnings.Add( + $"Could not reverse geocode '{breweryRecord.Brewery.NameEn}' " + + $"({breweryRecord.Address.Latitude}, {breweryRecord.Address.Longitude}); " + + "using a placeholder address." + ); + await breweryRepository.CreateAsync( new BreweryPost { @@ -204,12 +233,13 @@ static async Task LoadBreweriesIntoDatabaseAsync( BreweryName = breweryRecord.Brewery.NameEn, Description = breweryRecord.Brewery.DescriptionEn, PostedById = posterUserIds[i % posterUserIds.Count], + // TODO: Populate Coordinates from breweryRecord.Address.Latitude/Longitude once it goes through NetTopologySuite (NTS). Location = new BreweryPostLocation { BreweryPostLocationId = Guid.NewGuid(), CityId = cityId, - AddressLine1 = "Address unavailable", - PostalCode = breweryRecord.Address.PostalCode, + AddressLine1 = geocoded?.AddressLine1 ?? placeholderAddressLine1, + PostalCode = geocoded?.PostalCode ?? string.Empty, }, } ); @@ -224,7 +254,8 @@ static Table BuildBreweryTable(IReadOnlyList breweries) .AddColumn("City") .AddColumn("State/Province") .AddColumn("Country") - .AddColumn("Postal Code"); + .AddColumn("Longitude") + .AddColumn("Latitude"); foreach (BreweryRecord brewery in breweries) { @@ -234,7 +265,8 @@ static Table BuildBreweryTable(IReadOnlyList breweries) brewery.Address.City.CityName, brewery.Address.City.StateProvince, brewery.Address.City.Country, - brewery.Address.PostalCode + brewery.Address.Longitude.ToString("F6"), + brewery.Address.Latitude.ToString("F6") ); } diff --git a/web/backend/Database/Database.Seed/SeedData/biergarten_seed_2026-07-20T05-46-02.993511Z.sqlite 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 + /// Rolls back , swallowing any exception the rollback itself + /// raises (for example when the provider has already completed the transaction after a + /// connection failure) so the exception that triggered the rollback is what propagates. + /// + private static async Task RollbackQuietlyAsync(DbTransaction transaction) + { + try + { + await transaction.RollbackAsync(); + } + catch + { + // Ignore: the original exception (rethrown by the caller) is what matters here. + } + } + /// /// Composes a joined row's , , /// , and fragments into a

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z$+vNMAd|voK9d^9rdCOCnm(#UFjEgDJ?O_#J zdxltm2Jp&(?qVk8Y?K~(+RtK`Ukt*@1l~;mR(7yN(~@+F7b3OT5L>9j$3ALO zS`3ok74XPoHt}>u(m{2gl$EjE8XHgRw93g`=Z(y~N;wN+5iaGph>7vaBqek(9T^{+ zMhW-|GxwfC!VwUhvHSdk9SswZ#60O=QVuIB=1nAxJA zagdYTs7wvqTn*2msRmAUR<&^X|d`E9p(3cRSk^;>@zne3&$^u%pPeU?ZP=;T_i_ zQ%4cbE4_-CzPBYYl7#q%&|FFBL4a$?%)EB9U81a5oqH11c}??Bfiw6dCb!tY*1+80 z*A7zR44do{0LFTDm`Tqr(n`Z!av4aG;~q9?%5Tp=*k;55H>3;vJ!4uDg%{O3IIVOk z296BqNk?T*q6|R9DY=7v16@c3i-lbQcxL2$)lHmEBA;m_qY2s)L(n?*K_^`--Y2%j F{{x*{4~hT) diff --git a/web/backend/Database/Database.Seed/Sqlite/PipelineSeedDataReader.cs b/web/backend/Database/Database.Seed/Sqlite/PipelineSeedDataReader.cs index a896f07e..7f426bdb 100644 --- a/web/backend/Database/Database.Seed/Sqlite/PipelineSeedDataReader.cs +++ b/web/backend/Database/Database.Seed/Sqlite/PipelineSeedDataReader.cs @@ -54,7 +54,7 @@ public sealed class PipelineSeedDataReader { const string sql = """ SELECT b.name_en, b.description_en, b.name_local, b.description_local, - ba.city_id, ba.postal_code, ba.longitude, ba.latitude + ba.city_id, ba.longitude, ba.latitude FROM breweries b JOIN brewery_addresses ba ON ba.brewery_id = b.id; """; @@ -67,9 +67,8 @@ public sealed class PipelineSeedDataReader const int nameLocalIndex = 2; const int descriptionLocalIndex = 3; const int cityIdIndex = 4; - const int postalCodeIndex = 5; - const int longitudeIndex = 6; - const int latitudeIndex = 7; + const int longitudeIndex = 5; + const int latitudeIndex = 6; List records = []; while (await reader.ReadAsync(cancellationToken)) @@ -86,7 +85,6 @@ public sealed class PipelineSeedDataReader Address = new BreweryAddress { City = cities[reader.GetInt64(cityIdIndex)], - PostalCode = reader.GetString(postalCodeIndex), Longitude = reader.GetDouble(longitudeIndex), Latitude = reader.GetDouble(latitudeIndex), }, @@ -105,7 +103,7 @@ public sealed class PipelineSeedDataReader const string sql = """ SELECT u.first_name, u.last_name, u.gender, u.username, u.bio, u.activity_weight, u.email, u.date_of_birth, - ua.city_id, ua.postal_code + ua.city_id, ua.longitude, ua.latitude FROM users u JOIN user_addresses ua ON ua.user_id = u.id; """; @@ -122,7 +120,8 @@ public sealed class PipelineSeedDataReader const int emailIndex = 6; const int dateOfBirthIndex = 7; const int cityIdIndex = 8; - const int postalCodeIndex = 9; + const int longitudeIndex = 9; + const int latitudeIndex = 10; List records = []; while (await reader.ReadAsync(cancellationToken)) @@ -143,7 +142,8 @@ public sealed class PipelineSeedDataReader Address = new UserAddress { City = cities[reader.GetInt64(cityIdIndex)], - PostalCode = reader.GetString(postalCodeIndex), + Longitude = reader.GetDouble(longitudeIndex), + Latitude = reader.GetDouble(latitudeIndex), }, } ); diff --git a/web/backend/Features/Features.Breweries/Repository/BreweryRepository.cs b/web/backend/Features/Features.Breweries/Repository/BreweryRepository.cs index 1d5b5d6d..a4053853 100644 --- a/web/backend/Features/Features.Breweries/Repository/BreweryRepository.cs +++ b/web/backend/Features/Features.Breweries/Repository/BreweryRepository.cs @@ -283,7 +283,7 @@ public class BreweryRepository(ISqlConnectionFactory connectionFactory) } catch { - await transaction.RollbackAsync(); + await RollbackQuietlyAsync(transaction); throw; } @@ -418,11 +418,28 @@ public class BreweryRepository(ISqlConnectionFactory connectionFactory) } catch { - await transaction.RollbackAsync(); + await RollbackQuietlyAsync(transaction); throw; } } + ///