refactor: move model definitions into providers and extract resolve module
- Rename ImageProvider to BlackForestProvider, TextProvider to MistralProvider - Add get_provided_models() abstract method to Provider base class - Move model lists from models.py into each provider's get_provided_models() - Add providers/registry.py to aggregate models from all providers - Extract infer_required_capabilities and resolve_model from config.py to resolve.py - Update tests to use new names and import paths
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13 changed files with 432 additions and 390 deletions
95
bulkgen/resolve.py
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95
bulkgen/resolve.py
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from __future__ import annotations
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from pathlib import Path
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from bulkgen.config import (
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IMAGE_EXTENSIONS,
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TEXT_EXTENSIONS,
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Defaults,
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TargetConfig,
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TargetType,
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target_type_from_capabilities,
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)
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from bulkgen.providers.models import Capability, ModelInfo
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def infer_required_capabilities(
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target_name: str, target: TargetConfig
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) -> frozenset[Capability]:
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"""Infer the capabilities a model must have based on filename and config.
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Raises :class:`ValueError` for unsupported file extensions.
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"""
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suffix = Path(target_name).suffix.lower()
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caps: set[Capability] = set()
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if suffix in IMAGE_EXTENSIONS:
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caps.add(Capability.TEXT_TO_IMAGE)
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if target.reference_images:
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caps.add(Capability.REFERENCE_IMAGES)
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if target.control_images:
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caps.add(Capability.CONTROL_IMAGES)
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elif suffix in TEXT_EXTENSIONS:
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caps.add(Capability.TEXT_GENERATION)
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all_input_names = list(target.inputs) + list(target.reference_images)
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if any(Path(n).suffix.lower() in IMAGE_EXTENSIONS for n in all_input_names):
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caps.add(Capability.VISION)
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else:
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msg = f"Cannot infer target type for '{target_name}': unsupported extension '{suffix}'"
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raise ValueError(msg)
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return frozenset(caps)
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def resolve_model(
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target_name: str, target: TargetConfig, defaults: Defaults
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) -> ModelInfo:
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"""Return the effective model for a target, validated against required capabilities.
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If the target specifies an explicit model, it is validated to have all
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required capabilities. Otherwise the type-appropriate default is tried
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first; if it lacks a required capability the first capable model of the
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same type is selected.
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Raises :class:`ValueError` if no suitable model can be found.
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"""
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from bulkgen.providers.registry import get_all_models
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all_models = get_all_models()
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required = infer_required_capabilities(target_name, target)
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target_type = target_type_from_capabilities(required)
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if target.model is not None:
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# Explicit model — look up and validate.
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for model in all_models:
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if model.name == target.model:
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missing = required - frozenset(model.capabilities)
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if missing:
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names = ", ".join(sorted(missing))
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msg = f"Model '{target.model}' for target '{target_name}' lacks required capabilities: {names}"
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raise ValueError(msg)
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return model
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msg = f"Unknown model '{target.model}' for target '{target_name}'"
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raise ValueError(msg)
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# No explicit model — try the default first, then fall back.
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default_name = (
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defaults.image_model if target_type is TargetType.IMAGE else defaults.text_model
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)
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for model in all_models:
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if model.name == default_name:
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if required <= frozenset(model.capabilities):
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return model
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break
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# Default lacks capabilities — find the first capable model of the same type.
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model_type = "image" if target_type is TargetType.IMAGE else "text"
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for model in all_models:
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if model.type == model_type and required <= frozenset(model.capabilities):
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return model
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names = ", ".join(sorted(required))
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msg = (
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f"No model found for target '{target_name}' with required capabilities: {names}"
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)
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raise ValueError(msg)
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