"""Declarative NoNE language-expert catalog.

These rows are capability identities and page-training objectives, not claims
that a language expert has already been trained.  A family becomes promotable
only after the normal NoNE route, gradient, held-out, retention, and cold-reload
proofs pass.
"""

from __future__ import annotations

import hashlib
from typing import Final

from resynthesis.language_catalog import (
    BROAD_LANGUAGE_PACK_IDS,
    BROAD_LANGUAGE_PACK_IDS_SHA256,
    LANGUAGE_ABILITY_AXIS_IDS,
    LANGUAGE_ABILITY_IDS_BY_SOURCE_TYPE,
    LINGUIST_LANGUAGE_SOURCE_PACK_RECORDS,
    NATIVE_LANGUAGE_PACK_PREFIX_IDS,
)


NONE_LANGUAGE_EXPERT_CATALOG_SCHEMA: Final = (
    "nnf.resynthesis.none_language_expert_catalog.v4"
)

_LANGUAGE_EXPERT_SPECS: Final[
    tuple[tuple[str, str, str, tuple[str, ...]], ...]
] = (
    (
        "language_python",
        "Python",
        "CPython, typing, asyncio, packaging, data, and scientific computing",
        ("python", "py", "python_source"),
    ),
    (
        "language_go",
        "Go",
        "modules, interfaces, goroutines, channels, services, and tooling",
        ("go", "golang", "go_source"),
    ),
    (
        "language_java",
        "Java",
        "JVM behavior, generics, concurrency, Maven, Gradle, and services",
        ("java", "jvm_java", "java_source"),
    ),
    (
        "language_ruby",
        "Ruby",
        "MRI behavior, gems, metaprogramming, Rails, and services",
        ("ruby", "ruby_source", "rails"),
    ),
    (
        "language_php",
        "PHP",
        "Composer, PHP runtimes, Laravel, Symfony, and web applications",
        ("php", "php_source", "composer_php"),
    ),
    (
        "language_dotnet",
        ".NET",
        "CLR semantics, assemblies, NuGet, MSBuild, ASP.NET, and interop",
        ("dotnet", "clr", "msbuild", "nuget"),
    ),
    (
        "language_native",
        "Native systems",
        "ABIs, linking, FFI, ownership, concurrency, and platform toolchains",
        ("native", "native_code", "abi", "system_programming"),
    ),
    (
        "language_c",
        "C",
        "standards, pointers, layouts, preprocessors, compilers, and embedded code",
        ("c", "c_source", "iso_c"),
    ),
    (
        "language_cpp",
        "C++",
        "templates, RAII, modern standards, CMake, ABI, and performance",
        ("cpp", "c++", "cplusplus", "cpp_source"),
    ),
    (
        "language_rust",
        "Rust",
        "ownership, lifetimes, traits, Cargo, async, unsafe code, and FFI",
        ("rust", "rust_source", "cargo"),
    ),
    (
        "language_csharp",
        "C#",
        "CLR types, LINQ, async, Roslyn, .NET libraries, and applications",
        ("csharp", "c#", "c_sharp"),
    ),
    (
        "language_fsharp",
        "F#",
        "functional .NET, algebraic types, computation expressions, and interop",
        ("fsharp", "f#", "f_sharp"),
    ),
    (
        "language_visual_basic",
        "Visual Basic",
        "VB.NET, legacy Visual Basic, COM, forms, and .NET interop",
        ("visual_basic", "vb", "vbnet"),
    ),
    (
        "language_javascript",
        "JavaScript",
        "ECMAScript, browser and Node runtimes, events, modules, and services",
        ("javascript", "js", "ecmascript", "nodejs"),
    ),
    (
        "language_typescript",
        "TypeScript",
        "structural typing, compiler configuration, declarations, and JS interop",
        ("typescript", "ts", "typescript_source"),
    ),
    (
        "language_swift",
        "Swift",
        "value semantics, protocols, concurrency, SwiftPM, Apple, and servers",
        ("swift", "swift_source", "swiftpm"),
    ),
    (
        "language_objective_c",
        "Objective-C",
        "runtime messaging, ARC, Cocoa, C interop, and mixed Apple codebases",
        ("objective_c", "objective-c", "objc"),
    ),
    (
        "language_kotlin",
        "Kotlin",
        "JVM and native targets, coroutines, Gradle, Android, and multiplatform",
        ("kotlin", "kotlin_source", "kotlin_multiplatform"),
    ),
    (
        "language_scala",
        "Scala",
        "JVM functional and object models, implicits, sbt, and data systems",
        ("scala", "scala_source", "sbt"),
    ),
    (
        "language_dart",
        "Dart",
        "sound typing, async execution, packages, Flutter, web, and native",
        ("dart", "dart_source", "flutter"),
    ),
    (
        "language_lua",
        "Lua",
        "tables, metatables, coroutines, embedding, LuaJIT, and scripting",
        ("lua", "lua_source", "luajit"),
    ),
    (
        "language_perl",
        "Perl",
        "references, regex processing, CPAN, automation, and legacy services",
        ("perl", "perl_source", "cpan"),
    ),
    (
        "language_r",
        "R",
        "vectors, statistical modeling, packages, data frames, and visualization",
        ("r", "r_source", "rstats"),
    ),
    (
        "language_julia",
        "Julia",
        "multiple dispatch, numerical computing, environments, and performance",
        ("julia", "julia_source", "julia_language"),
    ),
    (
        "language_matlab",
        "MATLAB",
        "matrix computing, toolboxes, Simulink, and numerical workflows",
        ("matlab", "matlab_source", "simulink"),
    ),
    (
        "language_sas",
        "SAS",
        "DATA steps, procedures, macros, analytics, and clinical workflows",
        ("sas", "sas_source", "sas_macro"),
    ),
    (
        "language_sql",
        "SQL",
        "relational schemas, queries, transactions, tuning, and dialect interop",
        ("sql", "sql_source", "relational_query"),
    ),
    (
        "language_html",
        "HTML",
        "semantic markup, accessibility, forms, parsing, and templates",
        ("html", "html_source", "web_markup"),
    ),
    (
        "language_css",
        "CSS",
        "cascade, layout, responsive design, animation, and browser behavior",
        ("css", "css_source", "stylesheets"),
    ),
    (
        "language_graphql",
        "GraphQL",
        "schemas, queries, resolvers, federation, clients, and API evolution",
        ("graphql", "graphql_source", "graphql_schema"),
    ),
    (
        "language_bash",
        "Bash and POSIX shell",
        "expansion, pipelines, process control, portability, and automation",
        ("bash", "shell", "posix_shell", "shell_script"),
    ),
    (
        "language_powershell",
        "PowerShell",
        "object pipelines, modules, remoting, administration, and automation",
        ("powershell", "pwsh", "powershell_source"),
    ),
    (
        "language_haskell",
        "Haskell",
        "lazy evaluation, type classes, monads, effects, Cabal, and Stack",
        ("haskell", "haskell_source", "cabal"),
    ),
    (
        "language_ocaml",
        "OCaml",
        "modules, algebraic types, pattern matching, effects, and dune",
        ("ocaml", "ocaml_source", "dune_ocaml"),
    ),
    (
        "language_clojure",
        "Clojure",
        "persistent data, macros, sequences, concurrency, and JVM interop",
        ("clojure", "clojure_source", "clj"),
    ),
    (
        "language_elixir",
        "Elixir",
        "BEAM processes, OTP, supervision, Mix, Phoenix, and distribution",
        ("elixir", "elixir_source", "mix_elixir"),
    ),
    (
        "language_erlang",
        "Erlang",
        "BEAM semantics, OTP behaviors, supervision, messaging, and resilience",
        ("erlang", "erlang_source", "beam_erlang"),
    ),
    (
        "language_scheme",
        "Scheme",
        "lexical scope, continuations, macros, interpreters, and reasoning",
        ("scheme", "scheme_source", "r7rs"),
    ),
    (
        "language_common_lisp",
        "Common Lisp",
        "CLOS, macros, conditions, packages, interactive work, and compilation",
        ("common_lisp", "common-lisp", "lisp"),
    ),
    (
        "language_prolog",
        "Prolog",
        "unification, backtracking, constraints, logic programs, and symbols",
        ("prolog", "prolog_source", "logic_programming"),
    ),
    (
        "language_groovy",
        "Groovy",
        "dynamic JVM semantics, closures, Gradle DSLs, tests, and Java interop",
        ("groovy", "groovy_source", "gradle_groovy"),
    ),
    (
        "language_fortran",
        "Fortran",
        "arrays, modules, numerical kernels, interoperability, and HPC",
        ("fortran", "fortran_source", "modern_fortran"),
    ),
    (
        "language_assembly",
        "Assembly",
        "instructions, calling conventions, registers, linking, and debugging",
        ("assembly", "asm", "machine_assembly"),
    ),
    (
        "language_cuda",
        "CUDA",
        "kernels, memory hierarchy, synchronization, streams, and profiling",
        ("cuda", "cuda_source", "cuda_kernel"),
    ),
    (
        "language_opencl",
        "OpenCL",
        "portable kernels, devices, memory spaces, synchronization, and interop",
        ("opencl", "opencl_source", "opencl_kernel"),
    ),
    (
        "language_webassembly",
        "WebAssembly",
        "modules, linear memory, WASI, components, toolchains, and embedding",
        ("webassembly", "wasm", "wasi"),
    ),
    (
        "language_zig",
        "Zig",
        "comptime, explicit allocation, build tooling, C interop, and systems",
        ("zig", "zig_source", "ziglang"),
    ),
    (
        "language_nim",
        "Nim",
        "macros, generics, memory management, native compilation, and C interop",
        ("nim", "nim_source", "nim_lang"),
    ),
    (
        "language_apex",
        "Apex",
        "Salesforce data, triggers, limits, testing, and deployment",
        ("apex", "salesforce_apex", "apex_source"),
    ),
    (
        "language_verilog",
        "Verilog",
        "RTL, simulation, synthesis, testbenches, timing, and interfaces",
        ("verilog", "verilog_source", "rtl_verilog"),
    ),
    (
        "language_systemverilog",
        "SystemVerilog",
        "RTL, assertions, interfaces, UVM, simulation, and synthesis",
        ("systemverilog", "system_verilog", "uvm"),
    ),
    (
        "language_vhdl",
        "VHDL",
        "typed RTL, simulation, synthesis, testbenches, and hardware packages",
        ("vhdl", "vhdl_source", "rtl_vhdl"),
    ),
    (
        "language_cobol",
        "COBOL",
        "divisions, records, files, transactions, mainframes, and modernization",
        ("cobol", "cobol_source", "mainframe_cobol"),
    ),
    (
        "language_ada",
        "Ada",
        "typing, contracts, tasks, packages, safety-critical systems, and SPARK",
        ("ada", "ada_source", "spark_ada"),
    ),
    (
        "language_pascal",
        "Pascal and Object Pascal",
        "structured programs, units, classes, Delphi, and native applications",
        ("pascal", "object_pascal", "delphi"),
    ),
    (
        "language_tcl",
        "Tcl",
        "commands, substitutions, event loops, Tk, embedding, and EDA",
        ("tcl", "tcl_source", "tcl_tk"),
    ),
    (
        "language_solidity",
        "Solidity",
        "EVM semantics, contracts, storage, testing, security, and upgrades",
        ("solidity", "solidity_source", "evm"),
    ),
    (
        "language_move",
        "Move",
        "resources, modules, bytecode, verification, and blockchain applications",
        ("move", "move_source", "move_language"),
    ),
    (
        "language_hcl",
        "HashiCorp Configuration Language",
        "infrastructure, expressions, modules, Terraform, and provider schemas",
        ("hcl", "terraform_hcl", "terraform"),
    ),
    (
        "language_nix",
        "Nix",
        "pure expressions, derivations, flakes, reproducible builds, and systems",
        ("nix", "nix_language", "nix_flakes"),
    ),
)


def _build_curated_language_expert_families(
    specs: tuple[tuple[str, str, str, tuple[str, ...]], ...],
) -> tuple[tuple[str, str, frozenset[str]], ...]:
    """Validate and materialize the inherited curated prefix once."""

    family_ids = tuple(spec[0] for spec in specs)
    if len(family_ids) < 60 or len(set(family_ids)) != len(family_ids):
        raise RuntimeError("language expert catalog is incomplete or duplicated")
    if any(not family_id.startswith("language_") for family_id in family_ids):
        raise RuntimeError("language expert family IDs require language_ prefix")
    return tuple(
        (
            family_id,
            (
                f"{display_name} syntax and semantics, idioms, build/test/debug "
                f"workflows, interoperability, security, performance, and {focus}"
            ),
            frozenset((family_id, *aliases)),
        )
        for family_id, display_name, focus, aliases in specs
    )


_CURATED_LANGUAGE_EXPERT_FAMILIES: Final = _build_curated_language_expert_families(
    _LANGUAGE_EXPERT_SPECS
)
_CURATED_LANGUAGE_EXPERT_IDS: Final = tuple(
    family_id
    for family_id, _description, _claims in _CURATED_LANGUAGE_EXPERT_FAMILIES
)
NONE_LANGUAGE_EXPERT_INHERITED_CATALOG_SCHEMA: Final = (
    "nnf.resynthesis.none_language_expert_catalog.v1"
)
NONE_LANGUAGE_EXPERT_INHERITED_PREFIX_COUNT: Final = len(
    _CURATED_LANGUAGE_EXPERT_IDS
)
NONE_LANGUAGE_EXPERT_INHERITED_PREFIX_IDS_SHA256: Final = hashlib.sha256(
    "\n".join(_CURATED_LANGUAGE_EXPERT_IDS).encode("utf-8")
).hexdigest()
if (
    _CURATED_LANGUAGE_EXPERT_IDS
    != NATIVE_LANGUAGE_PACK_PREFIX_IDS[: len(_CURATED_LANGUAGE_EXPERT_IDS)]
):
    raise RuntimeError("curated language experts are not the native catalog prefix")

_LINGUIST_METADATA_BY_FAMILY_ID: Final = {
    family_id: (source_name, source_type)
    for family_id, source_name, source_type in reversed(
        LINGUIST_LANGUAGE_SOURCE_PACK_RECORDS
    )
}
_ABILITY_IDS_BY_SOURCE_TYPE: Final = dict(
    LANGUAGE_ABILITY_IDS_BY_SOURCE_TYPE
)
_NATIVE_PREFIX_ORDINAL_BY_ID: Final = {
    family_id: ordinal
    for ordinal, family_id in enumerate(NATIVE_LANGUAGE_PACK_PREFIX_IDS)
}


def _native_domain_ability_ids(family_id: str) -> frozenset[str]:
    """Return additive ability objectives for the frozen native graph row."""

    ordinal = _NATIVE_PREFIX_ORDINAL_BY_ID.get(family_id)
    if ordinal is None:
        return frozenset()
    if 173 <= ordinal < 197:
        return frozenset(
            {
                "serialization_exchange",
                "numerical_stability_units",
                "chemical_structure_reaction_validation",
                "scientific_data_mesh_geometry",
                "simulation_boundary_conditions",
            }
        )
    if 197 <= ordinal < 221:
        return frozenset(
            {
                "serialization_exchange",
                "systems_biology_simulation",
                "clinical_regulatory_validation",
                "workflow_provenance_orchestration",
            }
        )
    if 221 <= ordinal < 245:
        return frozenset(
            {
                "numerical_stability_units",
                "probabilistic_inference_optimization",
                "scientific_data_mesh_geometry",
                "simulation_boundary_conditions",
                "data_visualization_reporting",
            }
        )
    if 245 <= ordinal < 269:
        return frozenset(
            {
                "numerical_stability_units",
                "probabilistic_inference_optimization",
                "accelerator_parallel_lowering",
                "hardware_hdl_verification",
                "quantum_circuit_pulse_validation",
            }
        )
    if 269 <= ordinal < 279:
        return frozenset({"formal_proof_model_check"})
    if 279 <= ordinal < 289:
        return frozenset(
            {
                "workflow_provenance_orchestration",
                "laboratory_robotics_control",
            }
        )
    if 289 <= ordinal:
        return frozenset(
            {
                "serialization_exchange",
                "numerical_stability_units",
                "laboratory_robotics_control",
                "scientific_data_mesh_geometry",
                "simulation_boundary_conditions",
            }
        )
    return frozenset()


def _language_ability_ids(
    family_id: str,
    source_type: str,
) -> tuple[str, ...]:
    ability_ids = frozenset(
        _ABILITY_IDS_BY_SOURCE_TYPE.get(
            source_type,
            _ABILITY_IDS_BY_SOURCE_TYPE["programming"],
        )
    ).union(_native_domain_ability_ids(family_id))
    return tuple(
        ability_id
        for ability_id in LANGUAGE_ABILITY_AXIS_IDS
        if ability_id in ability_ids
    )


def _recovered_language_family(
    family_id: str,
) -> tuple[str, str, frozenset[str]]:
    metadata = _LINGUIST_METADATA_BY_FAMILY_ID.get(family_id)
    if metadata is None:
        source_name = family_id.removeprefix("language_").replace("_", " ")
        source_type = "programming"
        provenance = "the immutable native Resynthesis language graph"
    else:
        source_name, source_type = metadata
        provenance = "the pinned GitHub Linguist source snapshot"
    ability_ids = _language_ability_ids(family_id, source_type)
    return (
        family_id,
        (
            f"{source_name} {source_type} syntax and semantics, parsing, "
            "verification, implementation, interoperability, migration, "
            f"and production operation; identity recovered from {provenance}"
        ),
        frozenset((family_id, *ability_ids)),
    )


_CURATED_LANGUAGE_FAMILY_BY_ID: Final = {
    family_id: (family_id, description, claims)
    for family_id, description, claims in _CURATED_LANGUAGE_EXPERT_FAMILIES
}
NONE_LANGUAGE_EXPERT_FAMILIES: Final = tuple(
    _CURATED_LANGUAGE_FAMILY_BY_ID.get(
        family_id,
        _recovered_language_family(family_id),
    )
    for family_id in BROAD_LANGUAGE_PACK_IDS
)
NONE_LANGUAGE_EXPERT_ABILITY_ASSIGNMENTS: Final = tuple(
    (
        family_id,
        _language_ability_ids(
            family_id,
            _LINGUIST_METADATA_BY_FAMILY_ID.get(
                family_id,
                ("", "programming"),
            )[1],
        ),
    )
    for family_id in BROAD_LANGUAGE_PACK_IDS
)
NONE_LANGUAGE_EXPERT_IDS_SHA256: Final = hashlib.sha256(
    "\n".join(
        family_id
        for family_id, _description, _claims in NONE_LANGUAGE_EXPERT_FAMILIES
    ).encode("utf-8")
).hexdigest()
NONE_LANGUAGE_EXPERT_ABILITY_ASSIGNMENTS_SHA256: Final = hashlib.sha256(
    "\n".join(
        f"{family_id}:{','.join(ability_ids)}"
        for family_id, ability_ids in NONE_LANGUAGE_EXPERT_ABILITY_ASSIGNMENTS
    ).encode("utf-8")
).hexdigest()

if (
    len(NONE_LANGUAGE_EXPERT_FAMILIES) != 936
    or NONE_LANGUAGE_EXPERT_IDS_SHA256 != BROAD_LANGUAGE_PACK_IDS_SHA256
    or len({row[0] for row in NONE_LANGUAGE_EXPERT_FAMILIES})
    != len(NONE_LANGUAGE_EXPERT_FAMILIES)
    or NONE_LANGUAGE_EXPERT_FAMILIES[: len(_CURATED_LANGUAGE_EXPERT_FAMILIES)]
    != _CURATED_LANGUAGE_EXPERT_FAMILIES
    or tuple(row[0] for row in NONE_LANGUAGE_EXPERT_ABILITY_ASSIGNMENTS)
    != BROAD_LANGUAGE_PACK_IDS
):
    raise RuntimeError("broad language expert catalog identity is invalid")