from __future__ import annotations

from dataclasses import dataclass, field
from typing import Any


@dataclass(frozen=True)
class Repository:
    id: int
    name: str
    url: str
    description: str | None
    branch: str
    status: str


@dataclass(frozen=True)
class RepositorySnapshot:
    id: int
    repository_id: int
    commit_hash: str
    branch: str
    source_path: str
    file_count: int


@dataclass(frozen=True)
class AnalysisRun:
    id: int
    repository_id: int
    snapshot_id: int | None
    status: str
    started_at: str
    completed_at: str | None
    error_message: str | None
    scanner_version: str


@dataclass(frozen=True)
class ObservedFact:
    id: int
    repository_id: int
    analysis_run_id: int
    snapshot_id: int | None
    kind: str
    path: str
    name: str
    value: str
    metadata: dict[str, Any]


@dataclass(frozen=True)
class ScanSummary:
    analysis_run: AnalysisRun
    snapshot: RepositorySnapshot | None
    facts: list[ObservedFact]


@dataclass(frozen=True)
class SourceReference:
    fact_id: int | None
    path: str
    kind: str
    name: str


@dataclass(frozen=True)
class CandidateEvidence:
    id: int
    type: str
    reference: str
    strength: str
    status: str
    source_refs: list[SourceReference]


@dataclass(frozen=True)
class CandidateFeature:
    id: int
    name: str
    type: str
    location: str
    confidence: float
    status: str
    source_refs: list[SourceReference]


@dataclass(frozen=True)
class CandidateCapability:
    id: int
    name: str
    description: str
    inputs: list[str]
    outputs: list[str]
    confidence: float
    status: str
    source_refs: list[SourceReference]
    features: list[CandidateFeature] = field(default_factory=list)
    evidence: list[CandidateEvidence] = field(default_factory=list)


@dataclass(frozen=True)
class CandidateAbility:
    id: int
    name: str
    description: str
    confidence: float
    status: str
    source_refs: list[SourceReference]
    capabilities: list[CandidateCapability] = field(default_factory=list)


@dataclass(frozen=True)
class CandidateGraph:
    repository: Repository
    analysis_run: AnalysisRun
    abilities: list[CandidateAbility]


@dataclass(frozen=True)
class Evidence:
    id: int
    type: str
    reference: str
    strength: str


@dataclass(frozen=True)
class Feature:
    id: int
    name: str
    type: str
    location: str
    confidence: float


@dataclass(frozen=True)
class Capability:
    id: int
    name: str
    description: str
    inputs: list[str]
    outputs: list[str]
    confidence: float
    features: list[Feature] = field(default_factory=list)
    evidence: list[Evidence] = field(default_factory=list)


@dataclass(frozen=True)
class Ability:
    id: int
    name: str
    description: str
    confidence: float
    capabilities: list[Capability] = field(default_factory=list)


@dataclass(frozen=True)
class RepositoryAbilityMap:
    repository: Repository
    abilities: list[Ability]


@dataclass(frozen=True)
class SearchResult:
    repository_id: int
    repository_name: str
    match_type: str
    match_name: str
    confidence: float


@dataclass(frozen=True)
class AbilitySummary:
    id: int
    repository_id: int
    repository_name: str
    name: str
    description: str
    confidence: float


@dataclass(frozen=True)
class CapabilitySummary:
    id: int
    repository_id: int
    repository_name: str
    ability_id: int
    ability_name: str
    name: str
    description: str
    confidence: float