59 lines
2.8 KiB
Go
59 lines
2.8 KiB
Go
package platform
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import (
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"context"
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"net/http"
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"time"
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)
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func (s *service) canvasCapabilities(w http.ResponseWriter, r *http.Request, project, account string) error {
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if r.Method != http.MethodGet {
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reject(w, 405, "method_not_allowed")
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return nil
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}
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tx, err := s.db.BeginTx(r.Context(), nil)
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if err != nil {
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return err
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}
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defer tx.Rollback()
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kind, _, err := lockMaterial(r.Context(), tx, project, r.PathValue("workspace"), r.PathValue("material"), account)
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if err != nil {
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return err
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}
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if kind != "board" {
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reject(w, 400, "invalid_material")
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return nil
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}
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if err = tx.Rollback(); err != nil {
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return err
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}
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ctx, cancel := context.WithTimeout(r.Context(), 5*time.Second)
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defer cancel()
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models, modelErr := s.canvasAI.Models(ctx)
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textAvailable, imageAvailable := false, false
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if modelErr == nil {
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for _, model := range models {
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if model.Available {
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textAvailable = textAvailable || canvasModelSupports(model, "text")
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imageAvailable = imageAvailable || canvasModelSupports(model, "image")
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}
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}
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}
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ai := response{"canonical_target_identity": true, "owner_relocation": true, "admission_protocol_version": 2, "admission_receipt_query": true, "mutation_protocol_version": 2, "terminal_rejection_receipts": true, "available": textAvailable || imageAvailable, "text": textAvailable, "image": imageAvailable}
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if modelErr != nil {
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ai["unavailable_reason"] = "codex_unavailable"
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}
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reply(w, 200, response{
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"contract_version": "canvas-headless-2026-11-07",
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"canonical_model": response{"document_format_version": canvasModelFormat, "protocol_version": canvasModelProtocol, "explicit_migration": true, "stable_element_ids": true, "atomic_multi_canvas": true, "logical_operation_dedup": true, "legacy_snapshot_writes": false},
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"supported_schema_versions": []int{1, 2},
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"edge_features": response{"appearance": true, "markers": true, "bezier_chain": true, "animation_configuration": true, "execution_events": true},
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"subgraphs": response{"create": true, "migrate": true, "undo": true, "members": true, "dissolve": true, "connections": true, "member_positions": true},
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"ai": ai,
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"assets": response{"client_resource_ids": true, "receipt_protocol_version": 2, "previews": true, "preview_max_edge": 1024, "originals_preserved": true},
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"limits": response{"max_depth": 8, "max_nodes": 500, "max_edges": 2000, "max_frame_ports": 4000, "max_curve_knots": 64, "max_snapshot_bytes": canvasLimit, "max_active_tasks": 128, "max_run_steps": 64, "max_execution_depth": 32, "max_input_images": 4, "max_input_image_bytes": 20 << 20, "max_coordinate": 1000000},
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"retention": response{"idempotency_min_seconds": 86400, "undo_receipt_seconds": 604800},
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})
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return nil
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}
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