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fix(recipe): use resources type field to identify checkpoint instead of modelVersionIds[0]
When importing a CivitAI image as a recipe, modelVersionIds[0] was blindly used as the checkpoint version ID. This array mixes checkpoints and LoRAs without ordering guarantees, causing LoRAs to be saved as the recipe checkpoint. Fix by: 1. Removing the modelVersionIds[0] fallback in _download_remote_media 2. Parsing resources entries with type:"model" as the checkpoint 3. Adding model type validation in populate_checkpoint_from_civitai Also add 2 tests for the new behavior and fix 3 tests whose mocks lacked the required model.type field.
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@@ -1293,11 +1293,18 @@ class RecipeManagementHandler:
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image_info.get("meta") if civitai_image_id and image_info else None
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)
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if civitai_image_id and image_info:
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# modelVersionId (singular) — the primary version for this
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# image on CivitAI. May be absent, or may *not* be the
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# checkpoint (e.g. when the image was generated with a LoRA
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# as the primary subject). When absent, DO NOT fall back to
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# modelVersionIds[0] — that array mixes checkpoints, LoRAs,
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# and other model version IDs without ordering guarantees.
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# The downstream enrichment flow will find the real
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# checkpoint via meta.resources (type:"model" hash) or
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# meta.civitaiResources (type:"checkpoint" version ID), so
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# leaving model_ver_id as None is safe and avoids the bug
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# where a LoRA version ID was treated as the checkpoint.
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model_ver_id = image_info.get("modelVersionId")
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if not model_ver_id:
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ids = image_info.get("modelVersionIds")
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if isinstance(ids, list) and ids:
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model_ver_id = ids[0]
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# Inject root-level modelVersionIds into meta so downstream
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# parsers (CivitaiApiMetadataParser) can discover ALL resources
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