[PROJECT INIT] Sagrada Família Parts Manager - Technical design & architecture documentation#97
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…lity studies, alongside updates to the main README and prompts.
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📝 WalkthroughWalkthroughAdds extensive project documentation (docs/00–08), memory‑bank records and feasibility studies, agent operation rules (AGENTS.md and .agent/rules/00-memory-bank.md) enforcing prompt logging and memory updates, a structured prompts registry ( Changes
Sequence Diagram(s)mermaid Estimated code review effort🎯 3 (Moderate) | ⏱️ ~25 minutes
🚥 Pre-merge checks | ✅ 3✅ Passed checks (3 passed)
✏️ Tip: You can configure your own custom pre-merge checks in the settings. ✨ Finishing Touches🧪 Generate unit tests (beta)
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Actionable comments posted: 11
Note
Due to the large number of review comments, Critical, Major severity comments were prioritized as inline comments.
🤖 Fix all issues with AI agents
In `@AGENTS.md`:
- Around line 47-62: The Definition of Done section ("PROTOCOLO DE FINALIZACIÓN
/ DEFINITION OF DONE") lacks verification criteria; update it to include
concrete verification steps: for each referenced memory-bank file
(memory-bank/systemPatterns.md, memory-bank/techContext.md,
memory-bank/decisions.md, memory-bank/projectbrief.md, activeContext.md) specify
minimum required content/fields to be added, add a required reviewer/approver
role or team and a simple approval flow (e.g., "owner reviews and signs off" or
PR checklist tick), and state consequences/blocks for skipping steps (e.g., do
not merge or mark task complete until approvals and files updated); ensure these
checks are short, prescriptive, and appended to the existing three-point
checklist in the PROTOCOLO DE FINALIZACIÓN section.
In `@docs/00-index.md`:
- Around line 186-199: The "## 👥 Equipo" section contains placeholder values in
square brackets; update the entries under the Equipo header (fields Autor,
Director, Institución and the Colaboradores Técnicos list items like
Arquitectura BIM, Validación de UX, Revisión de Stack) by either filling them
with the actual names/team, replacing bracketed placeholders with generic
descriptors (e.g., "TFM Student", "Academic Advisor", "University/Program") or
removing the lines entirely if unknown, and ensure no square-bracket
placeholders remain in the final document.
- Around line 211-215: The "## 📞 Contacto" section contains placeholder contact
entries (`[email@proyecto.com]`, `[linkedin.com/in/autor]`, `[`@usuario`]`) so
either replace those bracketed placeholders with the real email, LinkedIn URL,
and GitHub handle, or remove the entire "## 📞 Contacto" block if you don't have
real contact info yet; locate the section by the header "## 📞 Contacto" and
update or delete the three list items accordingly.
In `@docs/04-use-cases.md`:
- Around line 31-69: Add explicit error-recovery nodes and paths: when
RejectSize or ReturnError is reached, route the file to a Quarantine node (store
original .3dm + rejection metadata and log an event) and create a RetryRequested
path that allows the frontend to resubmit corrected metadata (linking to the
existing SendAPI node) and an AppealReview node for manual review; for
background processing, add a GLBGenerationFailure node branching from
BackgroundWork with steps to mark the DB record failed (UpdateDB failure
status), enqueue a retry job in QueueProcessing, and send a user notification so
the frontend can display failure and retry options.
In `@docs/06-architecture.md`:
- Around line 301-305: Update section "6.1. OpenAI API (GPT-4)" to remove the
fixed "Rate Limits: 10,000 TPM" entry and replace it with a concise note that
GPT-4 Turbo uses tiered rate limits (e.g., Tier 1 ~30,000 TPM up to Tier 5
~2,000,000 TPM) and that the actual TPM for the organization is determined by
the usage/payment tier shown in the OpenAI account settings; also revise the
"Costo Estimado" line to state that monthly cost must be calculated from actual
token consumption and current per‑token prices (e.g., input/output pricing)
rather than a fixed ~$200/mes estimate so readers are prompted to verify against
their token usage and OpenAI pricing.
In `@docs/07-agent-design.md`:
- Around line 224-258: The code in extract_geometry incorrectly calls
GetVolume() on File3dmObject instances from file.Objects; instead iterate
file.Objects, extract obj.Geometry, convert to a Brep via
rhino3dm.Brep.TryConvertBrep(obj.Geometry) and only call GetVolume() on the
resulting Brep instances, build breps list (used for object_count and
volume_m3), and leave layers, bbox, and error handling intact; update references
to objects -> breps and ensure you check TryConvertBrep returned value before
calling GetVolume().
In `@docs/08-roadmap.md`:
- Around line 766-774: Update the "Burn-Down Chart (Horas Estimadas)" block to
include a contingency buffer by either adding a new Sprint 4 entry (e.g.,
"Sprint 4: 80h - Polish, Bug Fixes & Contingency") or increasing each existing
sprint's hours by ~20% (adjusting Sprint 0..3 lines accordingly) and update the
TOTAL value and human-readable duration; ensure the chart text (the lines
containing "Sprint 0: 60h", "Sprint 1: 80h", "Sprint 2: 100h", "Sprint 3: 80h"
and the "TOTAL: 320h" summary) reflect the chosen contingency approach.
- Around line 343-362: The system prompt "You are an ISO-19650 compliance
validator..." currently mixes deterministic regex rules with an unspecified
"semantic validation" by the LLM, causing potential inconsistencies; either make
the validator purely deterministic by removing or disabling the LLM semantic
step and rely only on the regex pattern "[Building]-[Floor]-[Element]-[Number]"
and the building/element code lists, or explicitly define the LLM's role by
adding a clear directive (e.g., "Only verify semantics when regex passes, do not
override regex") and enforce deterministic LLM behavior by setting temperature=0
and specifying conflict-resolution logic (e.g., "if regex and LLM disagree,
prefer regex and return LLM's note in suggested_fix") so that
functions/components that use this system prompt (the ISO-19650 validation
routine) behave consistently.
- Around line 540-552: The estimate and spec for convert_3dm_to_glb in
geometry_converter.py understate the work and lack implementation details;
update the roadmap to raise the effort estimate to 16–20 hours, add explicit
research/prototyping tasks (evaluate rhino3dm conversion path, benchmark Draco
compression libraries and integration, design LOD generation approach for
architectural models rather than naive decimation), and note risks/acceptance
criteria (feasibility of Draco integration, performance benchmarks, realistic
file-size targets vs fidelity). Ensure the item references the function name
convert_3dm_to_glb and the file geometry_converter.py so the increased estimate
and added subtasks are applied to that specific conversion service.
- Around line 206-215: Update the GeometryService.extract_metadata contract to
include additional fields required for ISO-19650 validation: add layer naming
conventions (per-layer names and flags for conformity), per-object
attributes/user strings, material information (material names/IDs and
assignments), component hierarchy (parent-child relationships or block
instances), and any GUIDs/unique IDs; ensure the returned dict keys include e.g.
"layers" (with namingCompliance), "objects" (with userStrings and materialRef),
"materials", "componentHierarchy", and preserve existing filename, layer/object
counts, boundingBox, creationDate so callers like validation routines can
consume these fields for nomenclature and attribute checks.
In `@memory-bank/feasibility-gh-copilot.md`:
- Around line 248-274: The comment incorrectly states Grasshopper lacks event
hooks—update the analysis and risk assessment to remove that claim and note that
GH_Document, GH_Canvas, and GH_DocumentServer provide robust real-time events
(e.g., GH_Document:
ObjectsAdded/ObjectsDeleted/SolutionStart/SolutionEnd/ModifiedChanged;
GH_Canvas: DocumentChanged/ViewportChanged/DocumentObjectMouseDown/paint hooks;
GH_DocumentServer: DocumentAdded/DocumentRemoved), and reassess the feasibility
and risk of the ghost-node approach (ShowGhostNode, OnKeyDown) versus a
side-panel approach based on implementation complexity and SDK intrusion depth
rather than event availability.
🟡 Minor comments (21)
memory-bank/productContext.md-293-301 (1)
293-301: Add language identifier to fenced code block.The fenced code block starting at line 293 should have a language identifier for consistency.
📝 Proposed fix
-``` +```text Usuario: "He revisado todos los entregables de FASE 2. Apruebo el paso a FASE 3."docs/03-service-model.md-1-1 (1)
1-1: Fix emoji rendering in heading.The heading shows
## � FASE 3:with a broken emoji character. Replace with the intended emoji or remove it.🔧 Proposed fix
-## � FASE 3: Modelo de Servicio (Lean Canvas) +## 📋 FASE 3: Modelo de Servicio (Lean Canvas)memory-bank/productContext.md-282-287 (1)
282-287: Add language identifier to fenced code block.The fenced code block starting at line 282 should have a language identifier for consistency with Markdown best practices.
📝 Proposed fix
-``` +```text Usuario: "Define los criterios de aceptación del MVP para inversores."docs/03-service-model.md-90-90 (1)
90-90: Fix emoji rendering in References heading.The heading shows
## �📚 Referenciaswith a broken emoji character. Replace with the intended emoji or remove it.🔧 Proposed fix
-## �📚 Referencias +## 📚 Referenciasdocs/00-index.md-5-7 (1)
5-7: Remove or complete the badge links.The three status badges have empty link targets
(). Either remove the link syntax if these are purely informational badges, or add the appropriate URLs.🔗 Proposed fix
If these are informational badges only:
-[]() -[]() -[]() + + +memory-bank/productContext.md-264-279 (1)
264-279: Add language identifier to fenced code block.The fenced code block starting at line 264 should have a language identifier. Since this appears to be an example prompt/response dialog, consider using
textormarkdownas the language identifier.📝 Proposed fix
-``` +```text Usuario: "Genera el esquema SQL de la tabla `parts` con todos los campos."docs/05-data-model.md-1-1 (1)
1-1: Fix broken character in heading.The header shows a replacement character
�, likely from an invalid emoji/encoding. Replace with the intended emoji or remove it.memory-bank/feasibility-semantic-rhino.md-34-36 (1)
34-36: Replace reversed “(…)[Research]” with proper links or footnotes.The current form is invalid markdown (MD011). Convert to footnotes or inline links for consistency.
memory-bank/feasibility-sagrada-familia.md-101-103 (1)
101-103: Capitalize “Sagrada Família” consistently.Line shows “sagrada Familia” in lowercase; update to “Sagrada Família” for consistency with the document title.
docs/02-prd.md-828-851 (1)
828-851: Wrap bare emails to satisfy MD034.The emails in user stories are treated as bare URLs. Wrap them in backticks (or use proper mailto links) to avoid markdownlint failures.
🔧 Suggested fix
-**When** ingresa email "maria@sagradafamilia.cat" y password correcto +**When** ingresa email "`maria@sagradafamilia.cat`" y password correcto ... -**Given** usuario ingresa email "test@test.com" con password incorrecto +**Given** usuario ingresa email "`test@test.com`" con password incorrectomemory-bank/feasibility-aec-copilot.md-15-40 (1)
15-40: Fix typo and reversed-link syntax in research markers.There’s a typo (“aDemo”) and multiple instances of reversed link syntax like
(...)[Research]. Consider converting to footnotes or inline links.🔧 Suggested fix
-**The Brutal Truth**: **"This is aDemo That Will WOW at a University Presentation but Terrify a Law Firm's IT Department."** +**The Brutal Truth**: **"This is a Demo That Will WOW at a University Presentation but Terrify a Law Firm's IT Department."** -- LLMs generate code with **security vulnerabilities** (buffer overflows, access control issues)[Research] +- LLMs generate code with **security vulnerabilities** (buffer overflows, access control issues).^[Research]docs/01-strategy.md-50-54 (1)
50-54: "The Librarian" agent capabilities may be overstated.The strategy promises:
- "Rechazo instantáneo" (instant rejection)
- "Clasificación automática" (automatic classification)
- "Enriquecimiento de metadatos faltantes" (metadata enrichment)
However, the roadmap (Sprint 2) shows this is an LLM-based agent with potential timeout issues (line 481: "Timeouts: 60s por nodo"). This contradicts "instantaneous" rejection. Additionally, LLM-based classification has inherent uncertainty that should be communicated.
Recommend adjusting language to: "Validación en <30 segundos" and noting that classification has confidence scores.
docs/08-roadmap.md-37-37 (1)
37-37: Clarify rhino3dm version and Rhino file format compatibility strategy in the roadmap.The roadmap specifies
rhino3dm (Python)without indicating which Rhino versions will be supported or handled. While rhino3dm 8.17.0 (released March 2025) flexibly supports reading and writing 3DM versions 2 through its current build, conversion between versions has documented limitations: Rhino 8-specific geometry data is lost when files are saved to earlier formats (e.g., Rhino 8 → Rhino 7). The roadmap should explicitly state:
- Target Rhino versions (5, 6, 7, 8, or subset)
- Which rhino3dm version will be used
- Whether data loss from format downgrade is acceptable
- Supported geometry types for each target version
prompts.md-608-610 (1)
608-610: Fix duplicate prompt IDs to preserve traceability.The log contains duplicated IDs ("012" and "018"). Please renumber to a single strictly increasing sequence so references remain unambiguous.
Also applies to: 943-946
readme.md-24-26 (1)
24-26: Fix mojibake in headings/status.The replacement character (�) appears in the “Documentación” heading and the project status line; please replace with the intended emoji/character.
🔧 Example fix
-## � Documentación +## 📚 Documentación @@ -� **En Desarrollo**: Implementación del MVP (Fase 8) +🚧 **En Desarrollo**: Implementación del MVP (Fase 8)Also applies to: 84-85
readme-official.md-65-69 (1)
65-69: Align max upload size across docs.Here it states “hasta 2GB”, while the architecture doc describes 500MB. Please unify the limit (and any related assumptions like timeouts and worker sizing) to avoid contradictions.
readme.md-46-53 (1)
46-53: Add a language tag to the stack code fence.This improves rendering and satisfies markdownlint.
🔧 Example fix
-``` +```text Frontend: React 18 + TypeScript + Three.js + Zustand + Vite Backend: FastAPI + Celery Workers + Redis Queue AI/ML: LangGraph + OpenAI GPT-4 Turbo Database: Supabase (PostgreSQL 15 + Auth + Realtime) Storage: S3-compatible buckets CAD: rhino3dm + glTF/GLB conversion</details> </blockquote></details> <details> <summary>readme-official.md-1126-1129 (1)</summary><blockquote> `1126-1129`: **Fix typo in acceptance criteria.** “seaceptan” should be “se aceptan”. <details> <summary>🔧 Example fix</summary> ```diff -Entonces** las 200 piezas seaceptan correctamente +Entonces** las 200 piezas se aceptan correctamentedocs/07-agent-design.md-368-394 (1)
368-394: Initializesemantic_errorsbefore append.
state["semantic_errors"].append(...)can raise a KeyError if the list isn’t set. Usesetdefault(or ensure it’s initialized in the initial state) to make the example safe.🔧 Suggested fix
- state["semantic_errors"].append("LLM unavailable, used regex fallback") + state.setdefault("semantic_errors", []).append("LLM unavailable, used regex fallback")readme.md-5-7 (1)
5-7: Replace empty badge links or remove them.Empty links render as dead badges and fail markdown lint rules; point them to real URLs or drop the link wrapper.
🔧 Example fix
-[]() -[](./docs/) -[]() +[](./docs/00-index.md) +[](./docs/) +[](./LICENSE)memory-bank/progress.md-21-22 (1)
21-22: Fix PRD status inconsistency.
The document says Phases 1–8 are complete (and lists the PRD already done), but the “Next Step” still says “Create PRD.md.” That’s contradictory and could mislead the execution checklist.✅ Minimal fix
-**Next Step**: Create `PRD.md` (Product Requirements Document) to detail the system. +**Next Step**: Review/update `docs/02-prd.md` if scope changes before Sprint 0.Also applies to: 166-174, 221-221
🧹 Nitpick comments (9)
docs/00-index.md (1)
100-131: Consider deferring the "Getting Started" section until implementation.While the disclaimer on Line 102 clearly indicates this will be completed in the next phase, including example installation commands that don't yet work may confuse early users. Consider either removing this section entirely or replacing it with a placeholder like "Coming Soon" until Phase 8 implementation begins.
docs/02-prd.md (1)
113-145: Add language identifiers to fenced blocks (lint fail).The flow block is a fenced code block without a language tag, which triggers MD040. Use
textfor ASCII diagrams.💡 Suggested fix
-``` +```text 1. ARQUITECTO SUBE ARCHIVO ↓ 2. THE LIBRARIAN INSPECCIONA ... -``` +```memory-bank/feasibility-smart-xref.md (1)
41-46: Make the “Source” column actionable (add citations/links).“Web research”, “Reddit”, “McNeel forums” are too vague for future verification. Add concrete references or footnotes to preserve traceability.
AGENTS.md (1)
6-30: Consider automating the ID increment logic.The manual ID tracking system (reading last entry, calculating next ID) could be error-prone if multiple prompts are logged concurrently or if the file format is inconsistent. Consider adding a timestamp-based ID (e.g.,
YYYYMMDD-HHMMSS) or a hash-based unique identifier to avoid ID collisions.Alternative ID scheme
-## [ID-INCREMENTAL] - [Título Breve descriptivo] -**Fecha:** YYYY-MM-DD HH:MM +## [YYYYMMDD-HHMMSS] - [Título Breve descriptivo] +**Fecha:** YYYY-MM-DD HH:MMThis eliminates the need to parse the file for the last ID and prevents collisions.
memory-bank/feasibility-gh-copilot.md (1)
116-143: GUID normalization approach may not be sufficient.The proposed solution maps GUIDs to component types (e.g., "Point GUID=abc123" → "Point_1"), but this loses critical information:
- Parameter values differ between instances
- Connection topology matters (which output connects to which input)
- Component versions may differ
Simply using
Point_1,Point_2creates ambiguity for the model. Consider including parameter signatures in the normalized ID:comp.normalized_id = f"{comp_type}_{hash(comp.parameters)}_{comp.instance_index}"memory-bank/feasibility-smartfabricator.md (1)
216-253: Curve-to-arc algorithm may encounter numerical instability.The proposed
fit_arc_segment()function uses least-squares optimization to fit arcs to point sequences. For highly curved or irregular segments, this can produce:
- Degenerate arcs (infinite radius)
- Oscillating solutions
- Failure to converge
Consider adding constraints:
- Minimum/maximum arc radius bounds
- Curvature continuity checks (G1 or G2)
- Fallback to polyline if arc fitting fails
Enhanced arc fitting with bounds
def fit_arc_segment(points, tolerance, min_radius=0.1, max_radius=1000): """ Optimization problem: Minimize: number of points NOT included Subject to: - max(chord_error) < tolerance - min_radius <= arc_radius <= max_radius - G1 continuity at endpoints """ # Use scipy.optimize with bounds from scipy.optimize import minimize def objective(params): center, radius = params[:2], params[2] if radius < min_radius or radius > max_radius: return float('inf') # ... compute chord error result = minimize(objective, initial_guess, method='SLSQP', bounds=[(None, None), (None, None), (min_radius, max_radius)]) if not result.success: # Fallback to polyline return None return resultdocs/04-use-cases.md (2)
76-123: Sequence diagram shows asynchronous processing but lacks timeout handling.The sequence diagram shows Celery queue processing (line 107) and WebSocket notification (line 120), but:
- No timeout is specified for the background job
- No fallback if WebSocket connection is lost
- User might close browser before receiving notification
Consider adding:
- Maximum processing time (e.g., 10 minutes)
- Polling fallback if WebSocket fails
- Email notification for long-running jobs
263-299: RBAC flowchart assumes single-step transitions only.The CU-03 flow validates transitions (e.g., "Validada" → "En Fabricación") but doesn't specify:
- Can states be skipped in emergency scenarios?
- Who can override invalid transitions?
- What happens to assigned work if state reverts?
For a heritage project like Sagrada Família, there should be an "emergency override" path with enhanced audit logging.
memory-bank/feasibility-aec-neuralsync.md (1)
31-41: Use proper headings instead of bold-only “titles.”
Several sections are bold lines that function as headings, which trips markdownlint MD036 and makes ToC/navigation harder.♻️ Suggested pattern
-**❌ YOUR CLAIM IS DEMONSTRABLY FALSE** +### ❌ Your claim is demonstrably false -**Critical Research Findings**: +#### Critical research findings -**Trade-offs**: +#### Trade-offsAlso applies to: 64-69, 89-96
…just prompt numbering.
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Actionable comments posted: 17
🤖 Fix all issues with AI agents
In `@AGENTS.md`:
- Around line 17-33: The ID generation in the "Lógica de Escritura" section (the
sequential read-last-ID → increment flow under the [ID-INCREMENTAL] block) is
vulnerable to race conditions; fix it by making writes atomic: implement a
file-locking mechanism (e.g., flock/fcntl) around the read-last-entry,
check-for-collision, and append sequence to prompts.md, or change the default ID
scheme to a monotonic unique value (e.g., YYYYMMDD-HHMM-SS plus a short random
suffix) and update the spec to always use that format, and/or note centralized
ID assignment as an alternative for multi-agent setups.
In `@docs/00-index.md`:
- Line 200: The "Email del Proyecto" line still contains a placeholder address
using the example.com domain; update that line (the bold heading "Email del
Proyecto") by either replacing pedro.cortes@example.com with a real contact
email, changing it to a generic descriptor like "Contact: [See project
repository]" or removing the email line entirely if no public contact should be
published, ensuring the placeholder domain is not left in the docs.
In `@docs/02-prd.md`:
- Around line 859-867: Update the "## 🚀 Próximos Pasos" section by removing or
editing the "Bloqueadores para Completar FASE 2" list so it accurately reflects
the current document state: either delete the stale items ("Wireframes
conceptuales de interfaces", "Roadmap detallado...", "User Stories...") or
replace them with correct outstanding blockers/status notes; ensure the heading
and any progress percentage (FASE 2 - 80% Completado) remain consistent and, if
needed, adjust the progress text to match the presence of wireframes, roadmap,
and user stories already included elsewhere in the doc.
- Around line 633-637: La aceptación hace referencia a la tabla `parts` y al
estado "Diseñada" pero el modelo de datos usa la tabla `blocks` y el estado
`uploaded`; actualiza los criterios de aceptación para que usen `blocks` y el
estado `uploaded` (o, si prefieres cambiar el modelo, actualiza los nombres de
tabla/estado en el esquema y en todo el PR), asegurándote de modificar la línea
con "200 piezas insertadas en tabla `parts` con estado \"Diseñada\"" y la línea
de evento para que coincidan con `blocks` y `uploaded` (y mantén los campos del
evento: user_id, timestamp, "upload_success", archivo_nombre).
- Around line 584-586: The PR has inconsistent RBAC schema names: some lines
reference a `users` table while the data model and docs use `profiles`; pick one
canonical table name (e.g., `profiles`) and update all references so they match:
change the acceptance criteria and any doc text that mentions `users` to
`profiles`, ensure the `role` enum column is defined on the chosen table, update
RLS policies (Row Level Security) to target that table, and adjust any backend
API endpoint validation logic that checks roles to reference the same
table/column consistently (look for mentions of `users`, `profiles`, `role`,
RLS, and API endpoints in docs/migrations/code).
In `@docs/04-use-cases.md`:
- Around line 418-419: The sequence shows storing JWT via
localStorage.setItem("jwt", token) which contradicts the security doc; change
the flow to keep the token in memory and update the global auth context instead
of persisting to localStorage — replace the localStorage step with a step that
updates the AuthProvider / in-memory auth context (e.g., "FE->>AuthProvider:
setToken(token)" or "FE->>FE: store token in AuthProvider state") and remove any
reference to localStorage.setItem("jwt", token) to align the sequence with the
in‑memory JWT approach.
- Around line 103-123: The diagram currently shows a multipart POST /api/upload;
change it to the presigned‑URL pattern: FE -> API: POST
/api/upload/request_presigned (send filename, layers) then API -> Agent:
validate_iso_19650(filename, layers) and API returns presigned_url + upload_id
to FE (instead of direct storage PUT), FE -> Storage: PUT presigned_url (upload
original .3dm), Storage -> API: (either S3 event or client callback)
notify_upload_complete(upload_id, url_original), then API -> DB: INSERT INTO
parts(name, tipologia, estado="Validada") returning part_id, API -> Queue:
enqueue_process_geometry.delay(part_id) (Task ID: task-456); remove the
multipart/form-data POST and direct API->Storage PUT and ensure references to
validate_iso_19650 and enqueue_process_geometry.delay remain in the updated
flow.
In `@docs/05-data-model.md`:
- Around line 382-410: The RLS currently only grants SELECT to workshops (policy
"Workshops read assigned blocks" on table blocks) which contradicts the
permissions matrix; add an UPDATE policy (e.g., CREATE POLICY "Workshops update
assigned blocks" ON blocks FOR UPDATE TO authenticated) using the same workshop
membership check as the SELECT policy (workshop_id IN (SELECT workshops.id ...
WHERE profiles.role='workshop' AND profiles.user_id = auth.uid())) and include a
WITH CHECK clause that restricts the allowed updates to only the status field
(so workshops can only change status on their assigned blocks); alternatively,
if you intend read‑only, update the permissions matrix to remove workshop UPDATE
rights.
In `@docs/06-architecture.md`:
- Around line 518-520: The diagram node OpenAIService currently hardcodes "Rate
limit: 10k TPM"; update the label for the OpenAIService node to reflect tiered
limits (e.g., "Rate limit: varies by usage tier" or "Tiered TPM by plan") so it
no longer conflicts with section 6.1 — modify the OpenAIService label string in
the diagram block accordingly to convey tiered/variable TPM instead of a fixed
10k TPM.
In `@docs/07-agent-design.md`:
- Around line 379-407: The fallback_classification function may raise a KeyError
when appending to state["semantic_errors"]; update fallback_classification to
ensure the list exists before appending (use state.setdefault("semantic_errors",
[]) or equivalent) so it mirrors the pattern used in classify_tipologia and
safely appends "LLM unavailable, used regex fallback" even when semantic_errors
wasn't initialized.
- Around line 577-595: The circuit breaker on the call_openai_api function
currently uses expected_exception=Exception which will count any exception
(including logic bugs) toward tripping the breaker; change the
expected_exception to a narrow tuple of API/network-related exceptions (for
example openai.APIError, openai.APIConnectionError, openai.RateLimitError,
openai.Timeout or your SDK’s equivalent) so only network/API failures increment
the circuit; update the import list accordingly and keep the same
failure_threshold and recovery_timeout values in the `@circuit` decorator on
call_openai_api.
- Around line 224-272: The extract_geometry function should explicitly handle
common rhino3dm geometry types instead of assuming any non-Brep has ToBrep;
update the loop over file.Objects (in extract_geometry) to check for
rhino3dm.Brep first, then handle rhino3dm.Extrusion by calling ToBrep(), handle
rhino3dm.Surface by using rhino3dm.Brep.CreateFromSurface() inside a try/except,
and explicitly skip types like rhino3dm.Curve, rhino3dm.Point3d, and
rhino3dm.Mesh (they have no volume), ensuring you only append valid Breps to the
list before computing volume and that all conversion calls are guarded to avoid
exceptions.
In `@docs/08-roadmap.md`:
- Around line 228-229: The status enum defined as status: Literal["uploaded",
"validating", "validated", "rejected"] is missing the new Sprint 2 state
requires_manual_review; update the schema/API to include
"requires_manual_review" (or, if you prefer not to change the enum, implement a
clear mapping strategy such as encoding manual-review as rejected with a reason
field) and apply the same change where status is declared elsewhere (see the
other occurrences around lines 484-487) so consumers and validation logic (e.g.,
any code using the status field) handle the new state consistently.
In `@memory-bank/productContext.md`:
- Around line 100-109: Update the "Success Metrics (MVP)" section to use
realistic targets: replace the absolute "Eliminación 100% emails" with a
tempered goal such as "90% reduction in status-check emails" and change
"Trazabilidad completa (0% piezas sin historial)" to "95% traceability
coverage", and append a short implementation caveat under the Técnicas or a new
"Risks / Assumptions" bullet noting that achieving ">30fps con 5,000 piezas
visibles" requires early prototyping of LOD/instancing strategies (Three.js) and
may need resource/architecture trade-offs; ensure these edits are made in the
"Success Metrics (MVP)" block so stakeholders see the tempered numbers and the
technical caveat together.
In `@readme-official.md`:
- Around line 1005-1007: The README's "Base URL" section references an OpenAPI
spec file named openapi-spec.yaml that doesn't exist; either add the missing
OpenAPI specification file (matching your current API schema) into the docs
directory as openapi-spec.yaml or update the README to point to the actual spec
location or hosted URL (or remove the reference) so the documentation is
accurate; ensure the new file name matches the README reference
(openapi-spec.yaml) or change that reference in the README accordingly.
In `@readme.md`:
- Around line 96-101: Replace the placeholder contact values in the README under
the "📞 Contacto" section: update the email placeholder `[email@proyecto.com]`
to the real project/maintainer email and replace the GitHub link text and URL
`[`@usuario`](https://github.com/usuario)` with the actual GitHub username or
organization (e.g., `[`@realuser`](https://github.com/realuser)`); edit the lines
containing these exact placeholder tokens so the contact block reflects the
correct, non-placeholder contact information.
- Around line 59-79: Add a new "Prerequisitos" subsection before the
"Instalación" block listing required Node.js (e.g., >=18), Python (e.g., >=3.11)
and any system/build deps (e.g., for rhino3dm) and then expand the ".env" step
in the "Instalación" section to instruct users to copy .env.example to .env and
edit it to include the required environment variables (SUPABASE_URL,
SUPABASE_ANON_KEY, OPENAI_API_KEY, AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY,
S3_BUCKET_NAME, REDIS_URL) with brief example formats or placeholders so
developers know what to fill in.
🧹 Nitpick comments (4)
memory-bank/productContext.md (1)
249-312: Clarify enforcement mechanism for phase rules.The "Golden Rule" (Lines 249-260) prohibiting work on future phases is well-intentioned for avoiding premature implementation, but the enforcement mechanism is unclear. The document states the LLM "has terminantemente PROHIBIDO" (is strictly forbidden), but compliance relies entirely on the LLM following instructions.
Recommendations:
- Add a validation checkpoint—before closing each phase, require a human-reviewed checklist confirming all deliverables are complete.
- Consider tooling support (e.g., a CLI script that checks for existence and minimum content in phase deliverables before allowing phase transition).
- Document who has authority to approve phase transitions (currently implied to be "the user" but could be more specific for team settings).
This would strengthen the methodology beyond prompt-based enforcement.
prompts.md (1)
1-1038: Consider implementing an archive strategy for prompt history.The prompts registry is valuable for traceability (especially for TFM/thesis documentation), but at 1,038 lines and growing, it will become unwieldy. By prompt
#021, the file already documents several abandoned project paths (Smart XREF, Semantic Rhino, SmartFabricator, AEC Copilot, etc.) that, while historically interesting, clutter the current project context.Recommendations:
- Archive old prompts: Move prompts
#003-009(exploratory feasibility studies for abandoned options) tomemory-bank/archive/prompts-exploration-phase.md.- Add a table of contents: Insert a TOC at the top linking to each prompt by ID for quick navigation.
- Define rotation policy: Once the project moves to production, consider rotating prompts older than 3-6 months to annual archive files (
prompts-2026.md,prompts-2027.md, etc.).This maintains traceability while keeping the active file manageable.
AGENTS.md (1)
34-48: LGTM: Planning-first workflow prevents premature implementation.The mandatory planning-before-execution workflow (Lines 34-43) is excellent for preventing "hallucinated" code generation and aligns well with the phase-gated approach in
productContext.md. The explicit confirmation step (Line 41: "¿Procedo con este plan?") creates a natural checkpoint for human oversight.Suggestion: Consider adding a "Plan Review Checklist" that the user can reference:
- Are all affected memory-bank files identified?
- Are dependencies/prerequisites clear?
- Is the scope appropriately sized (can be completed in one session)?
This would help users provide higher-quality feedback during the confirmation step.
docs/07-agent-design.md (1)
716-731: Add test setup documentation and mocking strategy.The integration test
test_full_workflow_valid_file(Lines 719-731) requires several external dependencies:
- A real
.3dmfile at/tmp/SF-C12-D-001.3dm- Valid
OPENAI_API_KEYin environment- Supabase database connection
- S3 storage availability (for file download in Celery task)
For CI/CD, these dependencies make the test brittle and slow. Consider:
Add test setup documentation in a
tests/README.md:## Integration Test Setup ### Prerequisites - Place a sample .3dm file: `tests/fixtures/sample.3dm` - Set `TEST_OPENAI_API_KEY` for LLM classification tests - Run Supabase locally: `docker-compose up supabase`Mock external calls for faster CI:
from unittest.mock import patch `@patch`('librarian_agent.call_openai_api') `@patch`('librarian_agent.download_from_s3') `@patch`('librarian_agent.update_block_status') def test_full_workflow_with_mocks(mock_db, mock_s3, mock_llm): mock_s3.return_value = "tests/fixtures/sample.3dm" mock_llm.return_value = {"tipologia": "dovela", "confidence": 0.95} # ... rest of testThis makes tests runnable in CI without secrets or fixtures.
Would you like me to generate a complete
tests/README.mdwith setup instructions and mocking examples?
…sign with testing setup, and refine various documentation and process files.
There was a problem hiding this comment.
Actionable comments posted: 13
🤖 Fix all issues with AI agents
In `@docs/00-index.md`:
- Around line 13-16: The doc text for "Sagrada Família Parts Manager (SF-PM)"
currently claims "archivos de hasta 2GB" which conflicts with other docs stating
a 500MB Rhino upload limit; update this phrase to match the canonical limit
(replace "archivos de hasta 2GB" with "archivos de hasta 500MB" or the agreed
limit) and, if helpful, add a short parenthetical clarifier referencing Rhino
upload limits to keep the Single Source of Truth consistent across docs.
In `@docs/02-prd.md`:
- Around line 191-192: Update the PRD text to use the canonical status enum
values (uploaded, validated, in_fabrication, completed) instead of the Spanish
state names, or add an explicit mapping line showing equivalence (e.g., Diseñada
= uploaded, Validada = validated, En Fabricación = in_fabrication, Completada =
completed); ensure the BIM Manager and Responsable de Taller acceptance criteria
and any bullet points that mention state transitions reference the enum values
`uploaded/validated/in_fabrication/completed` (or include the mapping) so the
docs align with the data model.
- Around line 579-580: Replace the explicit recommendation "JWT en localStorage"
with guidance to use the in-memory AuthProvider token approach (or explicitly
recommend httpOnly cookies with justification); update the bullet that currently
reads "Sesión persiste tras cerrar navegador (JWT en localStorage)" to instead
reference the in-memory/AuthProvider pattern (e.g., "Sesión gestionada en
memoria vía AuthProvider (no almacenar JWT en localStorage)") or to state a
secure alternative and call out the reason, and ensure the "Logout limpia sesión
completamente" line reflects clearing in-memory tokens and any relevant cookies
rather than localStorage.
In `@docs/04-use-cases.md`:
- Around line 343-345: The RBAC lookup in the sequence diagram currently queries
the users table; update it to query profiles instead (or document a mapping) so
the role enum is resolved from profiles. Replace the SELECT statement and any
references like "SELECT role FROM users WHERE id=user_id" with "SELECT role FROM
profiles WHERE id=profile_id" (or the appropriate join/mapping to user->profile)
and adjust the sequence labels (API->>DB and DB-->>API) to reflect profiles as
the role source.
- Around line 119-121: The sequence in CU-01 uses the non‑canonical table name
"parts"; update the INSERT statement so it targets the standardized table
"blocks" instead (replace occurrences of parts with blocks in the CU-01
sequence), keeping the same columns (name, tipologia, estado="Validada") and
returned identifier (part_id or rename to block_id if you also align identifiers
to the "blocks" model) so the docs match the data model and PRD.
In `@docs/05-data-model.md`:
- Around line 382-417: The RLS policies "Workshops read assigned blocks" and
"Workshops update assigned blocks" currently only check profiles.role =
'workshop' and thus allow any workshop user to access any workshop's blocks;
change the predicates to scope to the authenticated user's workshop by joining
the profiles row for auth.uid() and using profiles.workshop_id to match
blocks.workshop_id (e.g., ensure workshop_id = profiles.workshop_id or join
workshops.id = profiles.workshop_id) in the USING clauses and also in the UPDATE
policy's WITH CHECK so updates are allowed only when blocks.workshop_id equals
the authenticated profile's workshop_id; update both policy predicates
accordingly or document the intended association if different.
In `@docs/06-architecture.md`:
- Around line 206-222: Replace the deprecated import line so the example uses
the current package: change the import of ChatOpenAI from "from
langchain.chat_models import ChatOpenAI" to "from langchain_openai import
ChatOpenAI" (ensure the project/instructions note pip install langchain-openai);
keep the rest of the snippet intact (llm = ChatOpenAI(...), prompt construction
and llm.invoke(prompt)) so the example reflects the supported API.
In `@docs/07-agent-design.md`:
- Around line 536-568: The initial_state in process_uploaded_file is missing
default keys (e.g., geometry_metadata, semantic_errors, report, etc.) which can
cause KeyError when librarian_app.invoke rejects early; update initial_state to
include all expected keys with safe defaults (empty dicts/lists/strings) and
make overall_status default to either "rejected" or align types by using
"rejected" | "validated" semantics so downstream calls like
librarian_app.invoke, update_block_status, generate_glb and any
generate_report/readers can rely on keys such as geometry_metadata,
semantic_errors, report, and overall_status always being present.
In `@docs/08-roadmap.md`:
- Around line 219-229: The roadmap introduces a Parts model (Part, PartCreate,
PartResponse) and a status enum
(uploaded/validating/validated/rejected/requires_manual_review) that diverges
from the canonical Blocks model and its statuses; either rename and change the
enum values in the roadmap to match the canonical Blocks schema and its status
set, or explicitly document a one-to-one mapping and justification for a
separate MVP Parts table (show mapping between Part.status values and
Block.status values and note why names differ). Update the referenced roadmap
entries (including the block at lines around 252-267) so naming and enum values
are consistent or include the explicit mapping and rationale next to the Part
definitions.
- Around line 196-205: Update the Sprint 1 docs to use the presigned-URL upload
flow instead of server-side multipart uploads: replace the `POST
/api/v1/parts/upload` multipart description and the
`StorageService.upload_file(file: UploadFile) -> str` server-upload contract
with a three-step presigned flow (e.g., `POST /api/v1/parts/presign` to request
a presigned PUT URL and upload ID, client performs PUT to the presigned URL, and
`POST /api/v1/parts/complete` to confirm/upload metadata and return the created
part ID and public URL). Mention validations (max 500MB, `.3dm` extension)
during presign request and indicate that `StorageService` should instead provide
a method like `create_presigned_upload(filename, content_type, size) ->
PresignResponse` and a `complete_upload(upload_id, metadata) -> PartInfo` to
reflect the new architecture.
In `@prompts.md`:
- Around line 17-37: Lines inside the "Prompt Original" block contain
blockquotes with multiple spaces after the '>' (e.g., lines starting with "> #
Contexto / Rol", "> Eres una instancia...", "> # Objetivo", and the file list
block), which violates markdownlint MD027; edit the block so each '>' is
followed by exactly one space (convert occurrences of "> " to "> "), including
all list and continuation lines in the block (project brief list and path
examples), and re-save prompts.md so the blockquote spacing is normalized.
In `@readme-official.md`:
- Around line 28-36: Replace bare URLs under the "0.4. URL del proyecto:" and
"0.5. URL o archivo comprimido del repositorio" sections with Markdown link
syntax; for example change the plain
https://github.com/pedrocortesark/AI4Devs-finalproject occurrences to
[AI4Devs-finalproject](https://github.com/pedrocortesark/AI4Devs-finalproject)
and convert the mailto/onetimesecret mentions to markdown links like
[alvaro@lidr.co](mailto:alvaro@lidr.co) and
[onetimesecret](https://onetimesecret.com/) so there are no bare URLs in the
document.
In `@readme.md`:
- Around line 72-78: Remove the duplicated header "Configurar variables de
entorno" in the Quick Start section of the README: keep a single occurrence
immediately above the environment copy command (cp .env.example .env) and delete
the redundant repeat so the section reads cleanly with only one "Configurar
variables de entorno" line.
🧹 Nitpick comments (3)
docs/00-index.md (1)
173-176: Use a heading instead of bold text for the section label.Markdownlint flags emphasis used instead of a heading. Consider making this a proper heading to keep hierarchy consistent.
✅ Suggested fix
-**Proyecto Académico - TFM (Trabajo Fin de Máster)** +### Proyecto Académico - TFM (Trabajo Fin de Máster)readme-official.md (2)
421-424: Add language identifiers to fenced code blocks.Markdownlint flags code blocks without a language. Please label them (e.g.,
text,yaml,bash,mermaid).✅ Suggested fix examples
-``` +```text 1. Metadata Validation → 2. Nomenclature Check (LLM) → 3. Geometry Analysis → 4. Enrichment (LLM) → 5. Final Verdict-``` +```text sagrada-familia-parts-manager/ ├── frontend/ ...-``` +```text /\ / \ E2E Tests (10%) /----\ Integration Tests (30%) /------\ Unit Tests (60%)Also applies to: 449-505, 686-691
105-131: Use headings instead of bold-only subsection titles.Several UI subsection titles are bold text lines; Markdownlint flags this as “no-emphasis-as-heading.” Prefer headings for consistent structure.
✅ Suggested fix
-**Interfaz Dashboard (BIM Manager)** +#### Interfaz Dashboard (BIM Manager) -**Interfaz Upload (Arquitecto)** +#### Interfaz Upload (Arquitecto) -**Interfaz Visor 3D (Taller)** +#### Interfaz Visor 3D (Taller) -**Estado Empty States** +#### Estado Empty States
| #### 1. **Backend - Upload Endpoint** | ||
| - [ ] Crear endpoint `POST /api/v1/parts/upload` | ||
| - Acepta `multipart/form-data` con archivo `.3dm` | ||
| - Validaciones: tamaño máximo (500MB), extensión `.3dm` | ||
| - Retorna ID de pieza creada y URL de archivo | ||
| - [ ] Implementar servicio `StorageService`: | ||
| ```python | ||
| async def upload_file(file: UploadFile) -> str: | ||
| """Sube archivo a Supabase Storage y retorna URL pública.""" | ||
| ``` |
There was a problem hiding this comment.
Sprint 1 upload flow conflicts with the presigned‑URL design.
This section specifies multipart/form-data uploads and server-side StorageService uploads, but the PR updates the architecture to presigned URLs. Please revise Sprint 1 to use the presigned‑URL request/complete flow so implementation matches the agreed design.
🤖 Prompt for AI Agents
In `@docs/08-roadmap.md` around lines 196 - 205, Update the Sprint 1 docs to use
the presigned-URL upload flow instead of server-side multipart uploads: replace
the `POST /api/v1/parts/upload` multipart description and the
`StorageService.upload_file(file: UploadFile) -> str` server-upload contract
with a three-step presigned flow (e.g., `POST /api/v1/parts/presign` to request
a presigned PUT URL and upload ID, client performs PUT to the presigned URL, and
`POST /api/v1/parts/complete` to confirm/upload metadata and return the created
part ID and public URL). Mention validations (max 500MB, `.3dm` extension)
during presign request and indicate that `StorageService` should instead provide
a method like `create_presigned_upload(filename, content_type, size) ->
PresignResponse` and a `complete_upload(upload_id, metadata) -> PartInfo` to
reflect the new architecture.
| - [ ] Implementar modelo `Part` (SQLAlchemy/Pydantic): | ||
| ```python | ||
| class PartCreate(BaseModel): | ||
| original_filename: str | ||
| file_url: str | ||
| metadata: dict | ||
|
|
||
| class PartResponse(PartCreate): | ||
| id: UUID | ||
| status: Literal["uploaded", "validating", "validated", "rejected", "requires_manual_review"] | ||
| created_at: datetime |
There was a problem hiding this comment.
Roadmap schema/enum diverge from the canonical data model.
Here you introduce a parts table and a status enum (uploaded/validating/validated/rejected/requires_manual_review). The data model uses blocks with a different status set. Please align naming and enum values across docs (or explicitly justify a separate MVP schema and map it to blocks).
Also applies to: 252-267
🤖 Prompt for AI Agents
In `@docs/08-roadmap.md` around lines 219 - 229, The roadmap introduces a Parts
model (Part, PartCreate, PartResponse) and a status enum
(uploaded/validating/validated/rejected/requires_manual_review) that diverges
from the canonical Blocks model and its statuses; either rename and change the
enum values in the roadmap to match the canonical Blocks schema and its status
set, or explicitly document a one-to-one mapping and justification for a
separate MVP Parts table (show mapping between Part.status values and
Block.status values and note why names differ). Update the referenced roadmap
entries (including the block at lines around 252-267) so naming and enum values
are consistent or include the explicit mapping and rationale next to the Part
definitions.
…nd updating the project link.
There was a problem hiding this comment.
Actionable comments posted: 3
🤖 Fix all issues with AI agents
In `@docs/05-data-model.md`:
- Around line 402-419: The RLS policy "Workshops update assigned blocks" on
table blocks allows full-row updates but the intent is "status-only"; fix by
either documenting that column restrictions are enforced outside the DB, or
(preferred) add a DB-level BEFORE UPDATE trigger (e.g., function
enforce_blocks_status_only_update and associated trigger on blocks) that: checks
whether the updater is a workshop user assigned to the block (matching
profiles.workshop_id to the current user) and, if so, compares OLD vs NEW and
raises an error when any column other than status is changed; attach the trigger
to blocks so the policy "Workshops update assigned blocks" remains but
non-status mutations are prevented at the DB level.
In `@docs/07-agent-design.md`:
- Around line 583-586: The circuit breaker decorator uses exception names that
aren't imported and the SDK uses different timeout/limit exceptions; add imports
from the OpenAI SDK (e.g., import APIError, APITimeoutError, RateLimitError from
openai) and update the circuit decorator on call_openai_api to use the correct
tuple expected_exception=(APIError, APITimeoutError, RateLimitError) (optionally
include APIConnectionError if broader connection errors should be handled) so
the decorator references real exception types.
In `@readme-official.md`:
- Around line 65-67: Update the maximum upload size text in the "Upload y
Validación Automática (F1 + F2)" section by replacing “hasta 2GB” with “hasta
500MB” so it matches the architecture/index docs; search for the phrase "hasta
2GB" (and the section title "Upload y Validación Automática (F1 + F2)") and
standardize any other occurrences to 500MB to avoid conflicting requirements.
| -- Talleres pueden actualizar estado de sus piezas | ||
| CREATE POLICY "Workshops update assigned blocks" | ||
| ON blocks FOR UPDATE | ||
| TO authenticated | ||
| USING ( | ||
| workshop_id = ( | ||
| SELECT p.workshop_id FROM profiles p | ||
| WHERE p.user_id = auth.uid() | ||
| AND p.role = 'workshop' | ||
| ) | ||
| ) | ||
| WITH CHECK ( | ||
| workshop_id = ( | ||
| SELECT p.workshop_id FROM profiles p | ||
| WHERE p.user_id = auth.uid() | ||
| AND p.role = 'workshop' | ||
| ) | ||
| ); |
There was a problem hiding this comment.
Workshop UPDATE policy doesn’t enforce “status‑only” updates.
The matrix says workshops can update only status, but the RLS policy permits full-row updates on assigned blocks. Either (a) document that column restrictions are enforced at the API/trigger layer, or (b) add a DB-level guard (e.g., trigger) to prevent non‑status changes.
Also applies to: 525-533
🤖 Prompt for AI Agents
In `@docs/05-data-model.md` around lines 402 - 419, The RLS policy "Workshops
update assigned blocks" on table blocks allows full-row updates but the intent
is "status-only"; fix by either documenting that column restrictions are
enforced outside the DB, or (preferred) add a DB-level BEFORE UPDATE trigger
(e.g., function enforce_blocks_status_only_update and associated trigger on
blocks) that: checks whether the updater is a workshop user assigned to the
block (matching profiles.workshop_id to the current user) and, if so, compares
OLD vs NEW and raises an error when any column other than status is changed;
attach the trigger to blocks so the policy "Workshops update assigned blocks"
remains but non-status mutations are prevented at the DB level.
| from circuitbreaker import circuit | ||
|
|
||
| @circuit(failure_threshold=5, recovery_timeout=60, expected_exception=(APIError, TimeoutError)) | ||
| def call_openai_api(prompt: str) -> dict: |
There was a problem hiding this comment.
🧩 Analysis chain
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🌐 Web query:
OpenAI Python SDK exception classes
💡 Result:
In the official openai Python SDK, exceptions live in openai._exceptions and are re-exported at the top level (so you typically catch them as openai.RateLimitError, etc.). The core hierarchy/classes are: [1][2]
OpenAIError(base)APIError(base for SDK/API failures)APIConnectionError(network/connection issues) [1][2]APITimeoutError(request timeout) [1][2]
APIStatusError(non-2xx HTTP response; hasstatus_code,response) [1][2]BadRequestError(400) [1][2]AuthenticationError(401) [1][2]PermissionDeniedError(403) [1][2]NotFoundError(404) [1][2]ConflictError(409) [2][3]UnprocessableEntityError(422) [1][2]RateLimitError(429) [1][2]InternalServerError(>=500) [1][2]
APIResponseValidationError(response didn’t match expected schema/types) [2]
Other notable SDK exception types exposed by the library include: InvalidWebhookSignatureError, LengthFinishReasonError, ContentFilterFinishReasonError. [2]
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Length of output: 614
Add missing imports and use correct OpenAI SDK exception types.
The snippet references APIError and TimeoutError without imports. Use from openai import APIError, APITimeoutError instead. The built-in TimeoutError won't be raised by the OpenAI SDK—use APITimeoutError for timeout handling, or consider APIConnectionError for broader connection issues. Also include RateLimitError if handling rate limits:
Suggested correction
from circuitbreaker import circuit
from openai import APIError, APITimeoutError, RateLimitError
`@circuit`(failure_threshold=5, recovery_timeout=60, expected_exception=(APIError, APITimeoutError, RateLimitError))
def call_openai_api(prompt: str) -> dict:🤖 Prompt for AI Agents
In `@docs/07-agent-design.md` around lines 583 - 586, The circuit breaker
decorator uses exception names that aren't imported and the SDK uses different
timeout/limit exceptions; add imports from the OpenAI SDK (e.g., import
APIError, APITimeoutError, RateLimitError from openai) and update the circuit
decorator on call_openai_api to use the correct tuple
expected_exception=(APIError, APITimeoutError, RateLimitError) (optionally
include APIConnectionError if broader connection errors should be handled) so
the decorator references real exception types.
| 1. **Upload y Validación Automática (F1 + F2)** | ||
| - Drag & drop de archivos Rhino (.3dm) de hasta 2GB | ||
| - Extracción automática de metadata en menos de 1 segundo por pieza |
There was a problem hiding this comment.
Align max upload size with the rest of the docs (500MB).
This section says “hasta 2GB,” but the architecture/index docs define 500MB. Please standardize the limit to avoid conflicting requirements.
✅ Suggested fix
- - Drag & drop de archivos Rhino (.3dm) de hasta 2GB
+ - Drag & drop de archivos Rhino (.3dm) de hasta 500MB📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| 1. **Upload y Validación Automática (F1 + F2)** | |
| - Drag & drop de archivos Rhino (.3dm) de hasta 2GB | |
| - Extracción automática de metadata en menos de 1 segundo por pieza | |
| 1. **Upload y Validación Automática (F1 + F2)** | |
| - Drag & drop de archivos Rhino (.3dm) de hasta 500MB | |
| - Extracción automática de metadata en menos de 1 segundo por pieza |
🧰 Tools
🪛 LanguageTool
[grammar] ~65-~65: Cambia la palabra o signo.
Context: ...Upload y Validación Automática (F1 + F2)** - Drag & drop de archivos Rhino (.3dm) de ...
(QB_NEW_ES_OTHER_ERROR_IDS_REPLACEMENT_SPACE)
[grammar] ~66-~66: Cambia la palabra o signo.
Context: ... drop de archivos Rhino (.3dm) de hasta 2GB - Extracción automática de metadata en men...
(QB_NEW_ES_OTHER_ERROR_IDS_REPLACEMENT_SPACE)
[grammar] ~67-~67: Cambia la palabra o signo.
Context: ...metadata en menos de 1 segundo por pieza - Validación activa mediante el agente "Th...
(QB_NEW_ES_OTHER_ERROR_IDS_REPLACEMENT_SPACE)
🤖 Prompt for AI Agents
In `@readme-official.md` around lines 65 - 67, Update the maximum upload size text
in the "Upload y Validación Automática (F1 + F2)" section by replacing “hasta
2GB” with “hasta 500MB” so it matches the architecture/index docs; search for
the phrase "hasta 2GB" (and the section title "Upload y Validación Automática
(F1 + F2)") and standardize any other occurrences to 500MB to avoid conflicting
requirements.
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Actionable comments posted: 1
🤖 Fix all issues with AI agents
In @.agent/rules/00-memory-bank.md:
- Around line 16-37: The rule contains inconsistent path references — some use
`memory-bank/techContext.md` and one uses `techContext.md`; update all
occurrences to the same canonical path `memory-bank/techContext.md` (e.g.,
change the reference in the Forbidden Actions sentence and any other mentions)
so that `techContext` is unambiguous; ensure formatting/backticks remain
consistent when replacing `techContext.md` with `memory-bank/techContext.md`.
| - `memory-bank/techContext.md` -> To use correct tools/commands. | ||
|
|
||
| ## 2. Atomic Updates (WRITE BACK) | ||
| After completing a task: | ||
| 1. **Update** `memory-bank/activeContext.md`: Remove your finished task, add the result. | ||
| 2. **Update** `memory-bank/progress.md`: Mark features as completed. | ||
| 3. **Self-Correction**: If you find `projectbrief.md` or `systemPatterns.md` outdated, update them immediately. | ||
|
|
||
| ## 3. Decision Logging (MANDATORY) | ||
| When making ANY architectural, scope, or technical decision, you MUST: | ||
| 1. **Log immediately** in `memory-bank/decisions.md` using the provided template. | ||
| 2. Include: Context (problem), Decision (what was chosen), Consequences (trade-offs). | ||
| 3. **Examples of decisions requiring logging:** | ||
| - Technology stack choices (frameworks, libraries, tools) | ||
| - Architecture patterns (monolith vs microservices, state management) | ||
| - Data modeling decisions (schema design, database choice) | ||
| - API design choices (REST vs GraphQL, versioning strategy) | ||
| - Build/deployment configuration changes | ||
| - Major refactoring approaches | ||
|
|
||
| ## 4. Forbidden Actions | ||
| - Do not invent commands not listed in `techContext.md`. |
There was a problem hiding this comment.
Align techContext path references to avoid ambiguity.
Line 16 uses memory-bank/techContext.md, while Line 37 references techContext.md without the prefix. This inconsistency can lead to agents reading the wrong file or failing the rule.
🛠️ Proposed fix
- - Do not invent commands not listed in `techContext.md`.
+ - Do not invent commands not listed in `memory-bank/techContext.md`.📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| - `memory-bank/techContext.md` -> To use correct tools/commands. | |
| ## 2. Atomic Updates (WRITE BACK) | |
| After completing a task: | |
| 1. **Update** `memory-bank/activeContext.md`: Remove your finished task, add the result. | |
| 2. **Update** `memory-bank/progress.md`: Mark features as completed. | |
| 3. **Self-Correction**: If you find `projectbrief.md` or `systemPatterns.md` outdated, update them immediately. | |
| ## 3. Decision Logging (MANDATORY) | |
| When making ANY architectural, scope, or technical decision, you MUST: | |
| 1. **Log immediately** in `memory-bank/decisions.md` using the provided template. | |
| 2. Include: Context (problem), Decision (what was chosen), Consequences (trade-offs). | |
| 3. **Examples of decisions requiring logging:** | |
| - Technology stack choices (frameworks, libraries, tools) | |
| - Architecture patterns (monolith vs microservices, state management) | |
| - Data modeling decisions (schema design, database choice) | |
| - API design choices (REST vs GraphQL, versioning strategy) | |
| - Build/deployment configuration changes | |
| - Major refactoring approaches | |
| ## 4. Forbidden Actions | |
| - Do not invent commands not listed in `techContext.md`. | |
| - `memory-bank/techContext.md` -> To use correct tools/commands. | |
| ## 2. Atomic Updates (WRITE BACK) | |
| After completing a task: | |
| 1. **Update** `memory-bank/activeContext.md`: Remove your finished task, add the result. | |
| 2. **Update** `memory-bank/progress.md`: Mark features as completed. | |
| 3. **Self-Correction**: If you find `projectbrief.md` or `systemPatterns.md` outdated, update them immediately. | |
| ## 3. Decision Logging (MANDATORY) | |
| When making ANY architectural, scope, or technical decision, you MUST: | |
| 1. **Log immediately** in `memory-bank/decisions.md` using the provided template. | |
| 2. Include: Context (problem), Decision (what was chosen), Consequences (trade-offs). | |
| 3. **Examples of decisions requiring logging:** | |
| - Technology stack choices (frameworks, libraries, tools) | |
| - Architecture patterns (monolith vs microservices, state management) | |
| - Data modeling decisions (schema design, database choice) | |
| - API design choices (REST vs GraphQL, versioning strategy) | |
| - Build/deployment configuration changes | |
| - Major refactoring approaches | |
| ## 4. Forbidden Actions | |
| - Do not invent commands not listed in `memory-bank/techContext.md`. |
🤖 Prompt for AI Agents
In @.agent/rules/00-memory-bank.md around lines 16 - 37, The rule contains
inconsistent path references — some use `memory-bank/techContext.md` and one
uses `techContext.md`; update all occurrences to the same canonical path
`memory-bank/techContext.md` (e.g., change the reference in the Forbidden
Actions sentence and any other mentions) so that `techContext` is unambiguous;
ensure formatting/backticks remain consistent when replacing `techContext.md`
with `memory-bank/techContext.md`.
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Actionable comments posted: 11
🧹 Nitpick comments (1)
memory-bank/feasibility-gh-copilot.md (1)
30-31: Add language identifiers to fenced code blocks.markdownlint reports MD040 on these fences. Please specify a language (e.g.,
text,json,python,csharp,mermaid) for each block.Also applies to: 76-80, 119-121, 242-246, 318-331, 456-468
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@memory-bank/feasibility-gh-copilot.md` around lines 30 - 31, Several fenced code blocks (for example the block containing "Point[0,0,0] ──┬─→ Circle[Plane=Point.P, Radius=5]") are missing language identifiers and trigger markdownlint MD040; for each fenced block listed (including the ones around the shown diagram and the ranges referenced) add an appropriate language tag immediately after the opening ``` (e.g., ```text or ```mermaid or ```json as appropriate) so every triple-backtick fence includes a language identifier.
🤖 Prompt for all review comments with AI agents
Verify each finding against the current code and only fix it if needed.
Inline comments:
In `@AGENTS.md`:
- Around line 9-34: The AGENTS.md contains two template blocks (the "prompts.md"
header template starting with "# REGISTRO DE PROMPTS UTILIZADOS" and the entry
template starting with "## [ID-INCREMENTAL] - [Título Breve descriptivo]") that
are not fenced, causing them to render as real headings and triggering
markdownlint MD003; fix by wrapping both template blocks in fenced code blocks
(use ``` or ```markdown) so they render as literal examples instead of document
headings—update the area around the header template and the format example (the
block containing "## [ID-INCREMENTAL]" and the prompt/summary section) to be
enclosed in fences while preserving the exact template text.
In `@docs/02-prd.md`:
- Around line 840-843: US-013 currently instructs storing JWTs in localStorage
and persisting session on refresh, which conflicts with the P0.5 security spec;
update the US-013 acceptance criteria to remove any requirement to store tokens
in localStorage and instead require in-memory token management using
AuthProvider plus HttpOnly refresh cookies (i.e., “Token kept in-memory via
AuthProvider; session persisted using HttpOnly refresh cookie”), ensuring the
language references AuthProvider and HttpOnly Refresh Cookies rather than
localStorage or direct JWT persistence.
In `@docs/03-service-model.md`:
- Line 9: The table row under "| **1. Problema** |" currently mentions "Archivos
CAD de 2GB" which conflicts with other docs; change that value to "500MB" to
match the rest of the documentation, updating the phrase to "Archivos CAD de
500MB" in the same table cell (the line containing "**Desconexión
Rhino-Físico:** ... 2GB") and, if present nearby, any other explicit size
references in this section so the limit is consistent across documents.
In `@docs/05-data-model.md`:
- Around line 458-475: The RLS policy "Users upload attachments to their blocks"
currently allows any user with profiles.role='workshop' to upload attachments to
any workshop because blocks.workshop_id IN (SELECT workshops.id ... WHERE
profiles.role='workshop') is always true; change the condition to scope by the
workshop of the authenticated profile. Replace the OR blocks.workshop_id IN
(...) clause with a scoped check such as OR (profiles.role = 'workshop' AND
blocks.workshop_id = profiles.workshop_id) so that workshop users can only
insert when the block's workshop_id matches their own profile.workshop_id while
keeping the existing checks for blocks.created_by and roles
'bim_manager'/'architect'.
In `@docs/08-roadmap.md`:
- Around line 304-325: Insert a blank line immediately before and after each
Markdown table block to satisfy MD058: for example add a blank line above and
below the Backend (Estimaciones) table that contains "Implementar
`StorageService`, `GeometryService`..." and the Frontend (Estimaciones) table
that contains "Componente `UploadZone`, Hook `useUpload`..." and apply the exact
same change to the other task/estimate tables referenced in the review (the
later tables listing parts/tasks and estimates) so every table has one blank
line before and one after.
- Around line 343-377: The markdown has several fenced code blocks without
language identifiers (notably the System Prompt blocks in "Node 2: Nomenclature
Check (nomenclature_check.py)" and "Node 4: Enrichment (enrichment.py)", the
ASCII diagram block, and the Sprint/total block); update each triple-backtick
fence to include an appropriate language tag (e.g., ```text for plain prompts
and ASCII art, ```python for any code snippets, ```bash for shell examples) so
markdownlint MD040 is satisfied—search for the System Prompt blocks and the
ASCII/sprint fenced blocks and add the language identifier to each fence.
In `@memory-bank/feasibility-aec-neuralsync.md`:
- Around line 66-88: The markdown fenced code blocks are missing language
identifiers; update each fenced block (e.g., the Python block containing the
train_with_dp function and the JSON block showing nodes/connections) to include
the appropriate language tag (e.g., ```python and ```json) so they pass
markdownlint MD040; find blocks around the train_with_dp definition and the JSON
example and add the language identifier to the opening backtick fence for each
affected section (also apply the same fix to the other ranges noted: 101-116,
171-188, 356-362, 406-411).
- Around line 260-268: There is a reversed Markdown link (URL and text swapped)
in this document near the code block using query_embedding / vector_db.search /
llm.generate; find the inverted "(text)[url]" instance and change it to the
standard "[text](url)" form so the link renders correctly (keep surrounding text
and punctuation intact).
In `@memory-bank/feasibility-smartfabricator.md`:
- Around line 23-34: Add explicit language identifiers to the markdown fenced
code blocks that currently omit them to satisfy MD040: update the RL diagram
block (starts with "RL Agent ... RL Agent learns optimal policy") to use
```text, the pseudo-code block (starts with "# Pseudo-code for GA-based
nesting") to use ```python, and any other similar fences (e.g., CNC/G-code
examples) to use appropriate languages like ```gcode; ensure each opening fence
includes the language token and closing fences remain ``` so all fenced blocks
are language-tagged.
In `@prompts.md`:
- Around line 417-449: Several fenced code blocks in prompts.md (notably the
blocks containing the YAML frontmatter with "description: \"Mandatory Memory
Bank Workflow\"", the block headed "Registro de Decisiones Arquitectónicas y de
Producto", and the block "Prompt: Ejecución Fases 1 y 2 - Generación del README
Maestro") lack language identifiers and trigger markdownlint MD040; fix by
adding an appropriate language tag (e.g., ```markdown or ```text) immediately
after each opening ``` fence for those blocks (also apply same fix to the other
occurrence around the content referenced as lines 682-686) so all fenced blocks
include a language identifier.
In `@readme.md`:
- Line 69: The Quick Start git clone URL is pointing to a placeholder repo;
update the git clone command in README.md (the line containing "git clone
https://github.com/sagrada-familia/parts-manager.git") to the correct repository
URL "https://github.com/LIDR-academy/AI4Devs-finalproject.git" (and verify the
surrounding Quick Start steps still match the target repo); ensure the command
uses the correct HTTPS URL and update any subsequent repo-specific paths or
names referenced in the Quick Start.
---
Duplicate comments:
In `@docs/04-use-cases.md`:
- Line 37: The CU-01 flowchart still routes to SendAPI[POST /api/upload], which
contradicts the presigned-URL design; update the diagram node used after
CheckSize (e.g., replace SendAPI[POST /api/upload]) to the presigned flow node
(for example a GET/POST to request a presigned URL like RequestPresigned[GET
/api/upload/presigned] followed by UploadToStorage[PUT to S3 presigned URL]) and
ensure labels reflect the two-step presigned process (request presigned URL then
direct upload) so the diagram matches the presigned-URL design.
In `@docs/07-agent-design.md`:
- Around line 379-405: In fallback_classification, avoid a KeyError when
appending to state["semantic_errors"] by ensuring the list exists first; before
calling state["semantic_errors"].append(...) use
state.setdefault("semantic_errors", []) (or check isinstance and initialize if
missing) so fallback_classification always safely records "LLM unavailable, used
regex fallback" without raising if semantic_errors wasn't initialized.
- Around line 583-586: El decorador circuit en la función call_openai_api está
usando excepciones inexistentes (APIError, TimeoutError); cambia el import para
traer las excepciones reales del SDK de OpenAI (por ejemplo APITimeoutError,
APIConnectionError, RateLimitError) y actualiza la tupla expected_exception en
`@circuit`(...) para usar esas clases; busca la declaración de call_openai_api y
la sección de imports donde se referencia circuit y reemplaza/añade las
importaciones desde el paquete openai.errors (o el módulo de errores
correspondiente del SDK) para que el circuit breaker capture las excepciones
correctas.
- Around line 542-555: El ejemplo define initial_state con overall_status:
"pending" que no coincide con el tipo Literal declarado en ValidationState
("validated" | "rejected"); actualiza initial_state para usar un valor válido
("validated" o "rejected") o ajusta la definición de ValidationState para
aceptar "pending" (por ejemplo añadiendo "pending" al literal). Localiza la
constante initial_state y la definición ValidationState para aplicar la
corrección consistente en overall_status.
In `@readme-official.md`:
- Around line 65-66: Replace the inconsistent "2GB" upload size text with
"500MB" in the README entries that mention Rhino (.3dm) uploads — specifically
update the line under the "1. **Upload y Validación Automática (F1 + F2)**"
section that reads "Drag & drop de archivos Rhino (.3dm) de hasta 2GB" (and the
duplicate occurrence later) so both match the standardized 500MB limit used
elsewhere in the docs.
In `@readme.md`:
- Line 110: The README currently uses a non-functional placeholder "[Ver
repositorio oficial]" instead of an actionable email; replace that string with a
proper clickable mailto link or real contact address in Markdown (e.g., make the
visible text a readable label and the target "mailto:you@yourdomain.com") so the
contact entry becomes functional; locate the placeholder text "[Ver repositorio
oficial]" (previously "[email@proyecto.com]") in the README and update the line
that renders "**Email**:" to use the correct Markdown link format and a real
email address.
---
Nitpick comments:
In `@memory-bank/feasibility-gh-copilot.md`:
- Around line 30-31: Several fenced code blocks (for example the block
containing "Point[0,0,0] ──┬─→ Circle[Plane=Point.P, Radius=5]") are missing
language identifiers and trigger markdownlint MD040; for each fenced block
listed (including the ones around the shown diagram and the ranges referenced)
add an appropriate language tag immediately after the opening ``` (e.g., ```text
or ```mermaid or ```json as appropriate) so every triple-backtick fence includes
a language identifier.
| Si `prompts.md` **NO** existe, créalo con el siguiente contenido exacto: | ||
|
|
||
| # REGISTRO DE PROMPTS UTILIZADOS | ||
| **Autor**: [Usuario] | ||
| **Proyecto**: [Preguntar si no se extrae por contexto] | ||
| **Descripción**: Bitácora de prompts para trazabilidad del proyecto. | ||
| --- | ||
|
|
||
| ### B. Lógica de Escritura | ||
| Si el archivo ya existe: | ||
| 1. Lee la última entrada para identificar el último ID (ej. 001). | ||
| 2. Calcula el siguiente ID incremental (ej. 002). | ||
| 3. Añade la nueva entrada al final del archivo siguiendo **estrictamente** este formato: | ||
| - **IMPORTANTE:** Este método es vulnerable a condiciones de carrera en entornos multi-agente. | ||
| - **SOLUCIÓN RECOMENDADA:** Implementar bloqueo de archivos (file-locking) o usar un mecanismo de asignación centralizada de IDs. | ||
| - **FORMATO ALTERNATIVO:** Usa un ID monotónico único basado en fecha/hora para evitar colisiones: `YYYYMMDD-HHMM-SS`. | ||
|
|
||
|
|
||
| ## [ID-INCREMENTAL] - [Título Breve descriptivo] | ||
| **Fecha:** YYYY-MM-DD HH:MM | ||
| **Prompt Original:** | ||
| > [Aquí pega el contenido LITERAL y COMPLETO del prompt del usuario. NO resumir.] | ||
|
|
||
| **Resumen de la Respuesta/Acción:** | ||
| [Aquí escribirás un resumen muy breve (1-2 líneas) de la solución que vas a plantear] | ||
| --- |
There was a problem hiding this comment.
Template blocks render as live markdown headings — wrap them in fenced code blocks.
The prompts.md header template (lines 11–15) and entry format template (lines 27–34) are not inside a code fence. As a result:
# REGISTRO DE PROMPTS UTILIZADOS(line 11) renders as an H1 section heading inside AGENTS.md itself.## [ID-INCREMENTAL] - [Título Breve descriptivo](line 27) renders as an H2 section.- The
---at line 15 and line 34 each create setext H2 headings from the preceding text, which is the root cause of themarkdownlintMD003 warnings.
This makes the document structurally misleading — the two templates appear to be document sections rather than copy-paste examples.
🛠️ Proposed fix — fence both template blocks
Si `prompts.md` **NO** existe, créalo con el siguiente contenido exacto:
+```markdown
# REGISTRO DE PROMPTS UTILIZADOS
**Autor**: [Usuario]
**Proyecto**: [Preguntar si no se extrae por contexto]
**Descripción**: Bitácora de prompts para trazabilidad del proyecto.
---
+```
### B. Lógica de Escritura
...
3. Añade la nueva entrada al final del archivo siguiendo **estrictamente** este formato:
...
+```markdown
## [ID-INCREMENTAL] - [Título Breve descriptivo]
**Fecha:** YYYY-MM-DD HH:MM
**Prompt Original:**
> [Aquí pega el contenido LITERAL y COMPLETO del prompt del usuario. NO resumir.]
**Resumen de la Respuesta/Acción:**
[Aquí escribirás un resumen muy breve (1-2 líneas) de la solución que vas a plantear]
---
+```🧰 Tools
🪛 LanguageTool
[grammar] ~11-~11: Cambia la palabra o signo.
Context: ...xacto: # REGISTRO DE PROMPTS UTILIZADOS Autor: [Usuario] Proyecto: [Pregun...
(QB_NEW_ES_OTHER_ERROR_IDS_REPLACEMENT_OTHER)
[grammar] ~12-~12: Cambia la palabra o signo.
Context: ... PROMPTS UTILIZADOS Autor: [Usuario] Proyecto: [Preguntar si no se extrae...
(QB_NEW_ES_OTHER_ERROR_IDS_REPLACEMENT_SPACE)
[grammar] ~13-~13: Cambia la palabra o signo.
Context: ...[Preguntar si no se extrae por contexto] Descripción: Bitácora de prompts par...
(QB_NEW_ES_OTHER_ERROR_IDS_REPLACEMENT_SPACE)
[grammar] ~17-~17: Oración con errores
Context: ...dad del proyecto. --- ### B. Lógica de Escritura Si el archivo ya existe: 1. Lee la últim...
(QB_NEW_ES_OTHER_ERROR_IDS_REPLACEMENT_MULTITOKEN)
[grammar] ~22-~22: Aquí puede haber un error.
Context: ... estrictamente este formato: - IMPORTANTE: Este método es vulnerable a condicion...
(QB_NEW_ES)
[grammar] ~22-~22: Agrega un espacio.
Context: ...nte** este formato: - IMPORTANTE: Este método es vulnerable a condiciones ...
(QB_NEW_ES_OTHER_ERROR_IDS_MISSING_ORTHOGRAPHY_SPACE)
[grammar] ~22-~22: Elimina la puntuación
Context: ...le a condiciones de carrera en entornos multi-agente. - SOLUCIÓN RECOMENDADA: Impleme...
(QB_NEW_ES_OTHER_ERROR_IDS_UNNECESSARY_PUNCTUATION)
[grammar] ~27-~27: Corrige la mayúscula.
Context: ...MM-SS`. ## [ID-INCREMENTAL] - [Título Breve descriptivo] Fecha: YYYY-MM-DD HH:M...
(QB_NEW_ES_OTHER_ERROR_IDS_REPLACEMENT_ORTHOGRAPHY_UPPERCASE)
[grammar] ~27-~27: Cambia la palabra o signo.
Context: ...NCREMENTAL] - [Título Breve descriptivo] Fecha: YYYY-MM-DD HH:MM **Prompt Origi...
(QB_NEW_ES_OTHER_ERROR_IDS_REPLACEMENT_SPACE)
[grammar] ~28-~28: Cambia la palabra o signo.
Context: ...descriptivo] Fecha: YYYY-MM-DD HH:MM Prompt Original: > [Aquí pega el con...
(QB_NEW_ES_OTHER_ERROR_IDS_REPLACEMENT_SPACE)
[grammar] ~29-~29: Corrige la mayúscula.
Context: ...o] Fecha: YYYY-MM-DD HH:MM Prompt Original: > [Aquí pega el contenido LITERAL y COMPLE...
(QB_NEW_ES_OTHER_ERROR_IDS_REPLACEMENT_ORTHOGRAPHY_UPPERCASE)
[grammar] ~32-~32: Cambia la palabra o signo.
Context: ...r.] Resumen de la Respuesta/Acción: [Aquí escribirás un resumen muy breve (1...
(QB_NEW_ES_OTHER_ERROR_IDS_REPLACEMENT_SPACE)
[grammar] ~33-~33: Aquí puede haber un error.
Context: ...neas) de la solución que vas a plantear] --- ## 2. FLUJO DE TRABAJO (PLANNING PRIMERO) *...
(QB_NEW_ES)
🪛 markdownlint-cli2 (0.21.0)
[warning] 12-12: Heading style
Expected: atx; Actual: setext
(MD003, heading-style)
[warning] 32-32: Heading style
Expected: atx; Actual: setext
(MD003, heading-style)
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@AGENTS.md` around lines 9 - 34, The AGENTS.md contains two template blocks
(the "prompts.md" header template starting with "# REGISTRO DE PROMPTS
UTILIZADOS" and the entry template starting with "## [ID-INCREMENTAL] - [Título
Breve descriptivo]") that are not fenced, causing them to render as real
headings and triggering markdownlint MD003; fix by wrapping both template blocks
in fenced code blocks (use ``` or ```markdown) so they render as literal
examples instead of document headings—update the area around the header template
and the format example (the block containing "## [ID-INCREMENTAL]" and the
prompt/summary section) to be enclosed in fences while preserving the exact
template text.
| **Criterios de Aceptación:** | ||
| ✅ Login <2s | ||
| ✅ JWT almacenado en localStorage | ||
| ✅ Sesión persiste tras refresh |
There was a problem hiding this comment.
US-013 acceptance criteria re-introduces the localStorage JWT anti-pattern that P0.5 already fixed.
Lines 841–842 (✅ JWT almacenado en localStorage / ✅ Sesión persiste tras refresh) directly contradict the P0.5 security spec at lines 579–581, which mandates in-memory token management via AuthProvider and HttpOnly Refresh Cookies. An implementer reading only US-013 would store JWTs in localStorage, exposing them to XSS exfiltration.
🔒 Proposed fix — align US-013 with the P0.5 security spec
**Criterios de Aceptación:**
✅ Login <2s
-✅ JWT almacenado en localStorage
-✅ Sesión persiste tras refresh
+✅ Token de acceso gestionado en memoria vía AuthProvider (no localStorage)
+✅ Sesión persiste via HttpOnly Refresh Cookie tras refresh📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| **Criterios de Aceptación:** | |
| ✅ Login <2s | |
| ✅ JWT almacenado en localStorage | |
| ✅ Sesión persiste tras refresh | |
| **Criterios de Aceptación:** | |
| ✅ Login <2s | |
| ✅ Token de acceso gestionado en memoria vía AuthProvider (no localStorage) | |
| ✅ Sesión persiste via HttpOnly Refresh Cookie tras refresh |
🧰 Tools
🪛 LanguageTool
[grammar] ~840-~840: Agrega una palabra o signo.
Context: ... muestra "María Pérez (BIM Manager)" Criterios de Aceptación: ✅ Login <2s ✅ JWT al...
(QB_NEW_ES_OTHER_ERROR_IDS_MISSING_OTHER)
[grammar] ~840-~840: Corrige la mayúscula.
Context: ...ía Pérez (BIM Manager)" Criterios de Aceptación: ✅ Login <2s ✅ JWT almacenado en loc...
(QB_NEW_ES_OTHER_ERROR_IDS_REPLACEMENT_ORTHOGRAPHY_UPPERCASE)
[grammar] ~841-~841: Cambia la palabra o signo.
Context: ...Criterios de Aceptación: ✅ Login <2s ✅ JWT almacenado en localStorage ✅ Ses...
(QB_NEW_ES_OTHER_ERROR_IDS_REPLACEMENT_SPACE)
[grammar] ~842-~842: Cambia la palabra o signo.
Context: ...n <2s ✅ JWT almacenado en localStorage ✅ Sesión persiste tras refresh --- ###...
(QB_NEW_ES_OTHER_ERROR_IDS_REPLACEMENT_SPACE)
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@docs/02-prd.md` around lines 840 - 843, US-013 currently instructs storing
JWTs in localStorage and persisting session on refresh, which conflicts with the
P0.5 security spec; update the US-013 acceptance criteria to remove any
requirement to store tokens in localStorage and instead require in-memory token
management using AuthProvider plus HttpOnly refresh cookies (i.e., “Token kept
in-memory via AuthProvider; session persisted using HttpOnly refresh cookie”),
ensuring the language references AuthProvider and HttpOnly Refresh Cookies
rather than localStorage or direct JWT persistence.
|
|
||
| | **Bloque** | **Contenido** | | ||
| |------------|---------------| | ||
| | **1. Problema** | **Pain Points Críticos:**<br>• **Desconexión Rhino-Físico:** Archivos CAD de 2GB imposibles de consultar rápidamente. BIM Manager tarda 3h/día buscando información dispersa.<br>• **Pérdida de Trazabilidad:** Imposible auditar quién aprobó qué versión de una pieza, cuándo se modificó, o si cumple especificaciones de patrimonio.<br>• **Costes por Errores de Fabricación:** Piezas de piedra noble cortadas con datos incorrectos cuestan €15,000 cada una en retrabajos. 15% de piezas requieren ajustes por falta de especificaciones claras.<br>• **"Basura Digital" en Servidores:** Archivos duplicados, versiones obsoletas, nomenclaturas caóticas. Nadie sabe cuál es la "verdad" actual. | |
There was a problem hiding this comment.
Align max Rhino upload size with the rest of the docs.
This section cites 2GB files, while other documents state 500MB. Please standardize the limit to avoid conflicting requirements.
🧰 Tools
🪛 LanguageTool
[grammar] ~9-~9: Agrega un espacio.
Context: ...onsultar rápidamente. BIM Manager tarda 3h/día buscando información dispersa.
•...
(QB_NEW_ES_OTHER_ERROR_IDS_MISSING_ORTHOGRAPHY_SPACE)
[grammar] ~9-~9: Cambia la palabra o signo.
Context: ...da 3h/día buscando información dispersa.
• Pérdida de Trazabilidad: Imposible ...
(QB_NEW_ES_OTHER_ERROR_IDS_REPLACEMENT_OTHER)
[grammar] ~9-~9: Corrige la mayúscula.
Context: ...información dispersa.
• Pérdida de Trazabilidad: Imposible auditar quién aprobó qué ve...
(QB_NEW_ES_OTHER_ERROR_IDS_REPLACEMENT_ORTHOGRAPHY_UPPERCASE)
[grammar] ~9-~9: Elimina la puntuación
Context: ...versión de una pieza, cuándo se modificó, o si cumple especificaciones de patrimo...
(QB_NEW_ES_OTHER_ERROR_IDS_UNNECESSARY_PUNCTUATION)
[grammar] ~9-~9: Cambia la palabra o signo.
Context: ...i cumple especificaciones de patrimonio.
• Costes por Errores de Fabricación: ...
(QB_NEW_ES_OTHER_ERROR_IDS_REPLACEMENT_OTHER)
[grammar] ~9-~9: Corrige la mayúscula.
Context: ...ciones de patrimonio.
• Costes por Errores de Fabricación: Piezas de piedra nobl...
(QB_NEW_ES_OTHER_ERROR_IDS_REPLACEMENT_ORTHOGRAPHY_UPPERCASE)
[grammar] ~9-~9: Corrige la mayúscula.
Context: ...atrimonio.
• Costes por Errores de Fabricación: Piezas de piedra noble cortadas con d...
(QB_NEW_ES_OTHER_ERROR_IDS_REPLACEMENT_ORTHOGRAPHY_UPPERCASE)
[grammar] ~9-~9: Corrige la mayúscula.
Context: ...especificaciones claras.
• "Basura Digital" en Servidores: Archivos duplicados, v...
(QB_NEW_ES_OTHER_ERROR_IDS_REPLACEMENT_ORTHOGRAPHY_UPPERCASE)
[grammar] ~9-~9: Corrige la mayúscula.
Context: ...ones claras.
• "Basura Digital" en Servidores: Archivos duplicados, versiones obsole...
(QB_NEW_ES_OTHER_ERROR_IDS_REPLACEMENT_ORTHOGRAPHY_UPPERCASE)
[grammar] ~9-~9: Aquí puede haber un error.
Context: ...Nadie sabe cuál es la "verdad" actual. | | **2. Segmentos de Cliente (Usuarios Int...
(QB_NEW_ES)
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@docs/03-service-model.md` at line 9, The table row under "| **1. Problema**
|" currently mentions "Archivos CAD de 2GB" which conflicts with other docs;
change that value to "500MB" to match the rest of the documentation, updating
the phrase to "Archivos CAD de 500MB" in the same table cell (the line
containing "**Desconexión Rhino-Físico:** ... 2GB") and, if present nearby, any
other explicit size references in this section so the limit is consistent across
documents.
| -- Arquitectos y Talleres pueden subir archivos a sus piezas | ||
| CREATE POLICY "Users upload attachments to their blocks" | ||
| ON attachments FOR INSERT | ||
| TO authenticated | ||
| WITH CHECK ( | ||
| EXISTS ( | ||
| SELECT 1 FROM blocks | ||
| JOIN profiles ON profiles.user_id = auth.uid() | ||
| WHERE blocks.id = attachments.block_id | ||
| AND ( | ||
| blocks.created_by = profiles.id | ||
| OR blocks.workshop_id IN ( | ||
| SELECT workshops.id FROM workshops | ||
| WHERE profiles.role = 'workshop' | ||
| ) | ||
| OR profiles.role IN ('bim_manager', 'architect') | ||
| ) | ||
| ) |
There was a problem hiding this comment.
Talleres pueden subir attachments de cualquier taller (falta scope por workshop_id).
La cláusula blocks.workshop_id IN (SELECT workshops.id ... WHERE profiles.role='workshop') es siempre verdadera para cualquier taller si el usuario tiene rol workshop, porque el subquery devuelve todos los talleres. Esto rompe el límite de “solo asignados” y permite subida a piezas de otros talleres.
🛠️ Propuesta de ajuste RLS (scoped por workshop_id)
- AND (
- blocks.created_by = profiles.id
- OR blocks.workshop_id IN (
- SELECT workshops.id FROM workshops
- WHERE profiles.role = 'workshop'
- )
- OR profiles.role IN ('bim_manager', 'architect')
- )
+ AND (
+ blocks.created_by = profiles.id
+ OR (
+ profiles.role = 'workshop'
+ AND blocks.workshop_id = profiles.workshop_id
+ )
+ OR profiles.role IN ('bim_manager', 'architect')
+ )🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@docs/05-data-model.md` around lines 458 - 475, The RLS policy "Users upload
attachments to their blocks" currently allows any user with
profiles.role='workshop' to upload attachments to any workshop because
blocks.workshop_id IN (SELECT workshops.id ... WHERE profiles.role='workshop')
is always true; change the condition to scope by the workshop of the
authenticated profile. Replace the OR blocks.workshop_id IN (...) clause with a
scoped check such as OR (profiles.role = 'workshop' AND blocks.workshop_id =
profiles.workshop_id) so that workshop users can only insert when the block's
workshop_id matches their own profile.workshop_id while keeping the existing
checks for blocks.created_by and roles 'bim_manager'/'architect'.
| ### 🛠️ Tareas Técnicas Detalladas | ||
|
|
||
| #### Backend (Estimaciones) | ||
| | Tarea | Horas | Responsable | | ||
| |-------|-------|-------------| | ||
| | Implementar `StorageService` | 4h | Backend Dev | | ||
| | Implementar `GeometryService` (rhino3dm) | 8h | Backend Dev | | ||
| | Crear endpoint `/upload` | 4h | Backend Dev | | ||
| | Crear endpoint `/parts` (list) | 3h | Backend Dev | | ||
| | Tests unitarios + integración | 6h | Backend Dev | | ||
| | **TOTAL** | **25h** | | | ||
|
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||
| #### Frontend (Estimaciones) | ||
| | Tarea | Horas | Responsable | | ||
| |-------|-------|-------------| | ||
| | Componente `UploadZone` | 5h | Frontend Dev | | ||
| | Hook `useUpload` | 3h | Frontend Dev | | ||
| | Componente `PartsList` | 4h | Frontend Dev | | ||
| | Integración Zustand store | 2h | Frontend Dev | | ||
| | Tests E2E (Playwright) | 4h | Frontend Dev | | ||
| | **TOTAL** | **18h** | | | ||
|
|
There was a problem hiding this comment.
Add blank lines around tables (markdownlint MD058).
Several tables are not surrounded by blank lines, which triggers MD058. Please insert a blank line before and after each table block in these sections.
Also applies to: 507-531, 661-683, 757-774
🧰 Tools
🪛 LanguageTool
[grammar] ~314-~314: Aquí puede haber un error.
Context: ...| Backend Dev | | TOTAL | 25h | | #### Frontend (Estimaciones) | Tarea | Horas ...
(QB_NEW_ES)
[grammar] ~324-~324: Aquí puede haber un error.
Context: ... Frontend Dev | | TOTAL | 18h | | --- ## Sprint 2: The Librarian (Agente) **Durac...
(QB_NEW_ES)
🪛 markdownlint-cli2 (0.21.0)
[warning] 307-307: Tables should be surrounded by blank lines
(MD058, blanks-around-tables)
[warning] 317-317: Tables should be surrounded by blank lines
(MD058, blanks-around-tables)
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@docs/08-roadmap.md` around lines 304 - 325, Insert a blank line immediately
before and after each Markdown table block to satisfy MD058: for example add a
blank line above and below the Backend (Estimaciones) table that contains
"Implementar `StorageService`, `GeometryService`..." and the Frontend
(Estimaciones) table that contains "Componente `UploadZone`, Hook
`useUpload`..." and apply the exact same change to the other task/estimate
tables referenced in the review (the later tables listing parts/tasks and
estimates) so every table has one blank line before and one after.
| **What Research Says You MUST Implement**: | ||
|
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||
| ```python | ||
| # Differential Privacy with Gradient Clipping (MANDATORY) | ||
| def train_with_dp(model, data, epsilon=1.0): | ||
| """ | ||
| epsilon: Privacy budget (lower = more private, worse accuracy) | ||
| """ | ||
| for batch in data: | ||
| # 1. Compute gradients | ||
| gradients = compute_gradients(model, batch) | ||
|
|
||
| # 2. CLIP gradients (bound sensitivity) | ||
| clipped_grads = [clip_gradient(g, max_norm=1.0) for g in gradients] | ||
|
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||
| # 3. ADD GAUSSIAN NOISE (calibrated to epsilon) | ||
| noise_scale = calculate_noise(epsilon, sensitivity=1.0, delta=1e-5) | ||
| noisy_grads = [g + gaussian_noise(noise_scale) for g in clipped_grads] | ||
|
|
||
| # 4. Update LoRA weights with noisy gradients | ||
| update_model(model, noisy_grads) | ||
| ``` | ||
|
|
There was a problem hiding this comment.
Specify languages on fenced blocks (markdownlint MD040).
Add a language identifier (e.g., python, json, xml, text) to these fenced blocks.
🛠️ Suggested fix
- ```
+ ```python
# Differential Privacy with Gradient Clipping (MANDATORY)
def train_with_dp(model, data, epsilon=1.0):
...
- ```
+ ```- ```
+ ```json
{
"nodes": [
{"id": "abc123", "type": "Point", "params": [0,0,0]},
{"id": "def456", "type": "Circle", "inputs": ["abc123"], "params": [5.0]}
],
"connections": [
{"from": "abc123.output", "to": "def456.plane"}
]
}
- ```
+ ```Also applies to: 101-116, 171-188, 356-362, 406-411
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@memory-bank/feasibility-aec-neuralsync.md` around lines 66 - 88, The markdown
fenced code blocks are missing language identifiers; update each fenced block
(e.g., the Python block containing the train_with_dp function and the JSON block
showing nodes/connections) to include the appropriate language tag (e.g.,
```python and ```json) so they pass markdownlint MD040; find blocks around the
train_with_dp definition and the JSON example and add the language identifier to
the opening backtick fence for each affected section (also apply the same fix to
the other ranges noted: 101-116, 171-188, 356-362, 406-411).
| query_embedding = embed("facade patterns") | ||
| results = vector_db.search(query_embedding, top_k=5) | ||
| # LLM generation | ||
| response = llm.generate(f"Based on {results}, suggest...") | ||
| ``` | ||
|
|
||
| **Complexity**: ⭐⭐⭐ Moderate (3-4 weeks for MVP) | ||
|
|
||
| **Business Value**: ⭐⭐⭐⭐ High (users understand chat) |
There was a problem hiding this comment.
Fix reversed link syntax (markdownlint MD011).
The “text” order appears reversed in this section. Please swap to standard Markdown link syntax.
🛠️ Suggested fix
- (fine-tuned GPT-4 for RhinoScript)[Research]
+ [Research](fine-tuned GPT-4 for RhinoScript)🧰 Tools
🪛 markdownlint-cli2 (0.21.0)
[warning] 266-266: Reversed link syntax
(fine-tuned GPT-4 for RhinoScript)[Research]
(MD011, no-reversed-links)
[warning] 267-267: Reversed link syntax
(though data cutoff is 2021)[Research]
(MD011, no-reversed-links)
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@memory-bank/feasibility-aec-neuralsync.md` around lines 260 - 268, There is a
reversed Markdown link (URL and text swapped) in this document near the code
block using query_embedding / vector_db.search / llm.generate; find the inverted
"(text)[url]" instance and change it to the standard "[text](url)" form so the
link renders correctly (keep surrounding text and punctuation intact).
| > "Use Reinforcement Learning to optimize CNC tool paths with multi-objective rewards (precision + speed + material waste)." | ||
|
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||
| **What This Requires**: | ||
| ``` | ||
| RL Agent | ||
| ↓ action (tool path change) | ||
| CNC Simulator (Environment) | ||
| ↓ state (current position, material state) | ||
| ↓ reward (quality score - time - waste) | ||
| RL Agent learns optimal policy | ||
| ``` | ||
|
|
There was a problem hiding this comment.
Add language identifiers to fenced blocks (markdownlint MD040).
These code fences should specify a language (e.g., text, python, gcode) to satisfy MD040.
🛠️ Suggested fix
- ```
+ ```text
RL Agent
↓ action (tool path change)
CNC Simulator (Environment)
↓ state (current position, material state)
↓ reward (quality score - time - waste)
RL Agent learns optimal policy
- ```
+ ```- ```python
+ ```python
# Pseudo-code for GA-based nesting
population = generate_random_layouts(100)
...
- ```
+ ```Also applies to: 104-114, 167-178, 276-287
🧰 Tools
🪛 markdownlint-cli2 (0.21.0)
[warning] 26-26: Fenced code blocks should have a language specified
(MD040, fenced-code-language)
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@memory-bank/feasibility-smartfabricator.md` around lines 23 - 34, Add
explicit language identifiers to the markdown fenced code blocks that currently
omit them to satisfy MD040: update the RL diagram block (starts with "RL Agent
... RL Agent learns optimal policy") to use ```text, the pseudo-code block
(starts with "# Pseudo-code for GA-based nesting") to use ```python, and any
other similar fences (e.g., CNC/G-code examples) to use appropriate languages
like ```gcode; ensure each opening fence includes the language token and closing
fences remain ``` so all fenced blocks are language-tagged.
| > **Protocolo** | ||
| > Lee los archivos relativos al memory bank y el específico de reglas `AGENTS.md` para seguir lo indicado en generacion de documentos y modificacion del archivo de prompts | ||
|
|
||
| **Prompt 3:** | ||
| **Resumen de la Respuesta/Acción:** | ||
| Siguiendo protocolo AGENTS.md: Loggear prompt completo primero. Luego analizaré críticamente AEC-NeuralSync evaluando claims de privacidad LoRA (riesgo extracción datos), serialización GH-to-LLM (DAG a secuencia), viabilidad LoRA merging (catastrophic forgetting), y UX chat vs. autocomplete. Definiré stack tecnológico mínimo viable y compararé complejidad con 4 opciones previas para TFM. | ||
|
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||
| ### **2.4. Infraestructura y despliegue** | ||
| --- | ||
|
|
||
| **Prompt 1:** | ||
| ## 009 - Análisis de Viabilidad GH-Copilot (Predictive Node Engine) | ||
| **Fecha:** 2025-12-30 21:51 | ||
|
|
||
| **Prompt 2:** | ||
| **Prompt Original:** | ||
| > # Prompt: Análisis de Arquitectura y Viabilidad - GH-Copilot (Predictive Node Engine) | ||
| > | ||
| > **Role:** Actúa como un **Lead AI Engineer** y **Experto en Geometría Computacional**. Tienes experiencia profunda en el SDK de Grasshopper (GH_IO.dll) y en el entrenamiento de modelos de lenguaje para la generación de código y estructuras de grafos. | ||
| > | ||
| > **Contexto:** | ||
| > Estoy diseñando mi TFM para **ai4devs**: un **Copilot para Grasshopper**. | ||
| > La idea es procesar una biblioteca privada de archivos `.gh`, extraer su lógica algorítmica y entrenar un modelo (Fine-tuning con LoRA) para que un plugin de Grasshopper pueda sugerir "bloques de componentes" o "nodos siguientes" en tiempo real, basándose en el estilo y conocimiento técnico previo del estudio. | ||
| > | ||
| > **Hipótesis Técnica:** | ||
| > 1. **Extracción:** Convertimos archivos `.gh` o `.ghx` en una representación de texto que preserve la topología del grafo (conexiones, tipos de nodos y parámetros). | ||
| > 2. **Entrenamiento:** Realizamos un fine-tuning local de un modelo (ej: Llama 3.2 o Phi-3.5) para que aprenda a completar secuencias de nodos. | ||
| > 3. **Inferencia:** El plugin de GH envía el estado actual del lienzo (nodos presentes) y la IA devuelve una predicción de los siguientes componentes lógicos. | ||
| > | ||
| > **Tareas de Análisis Crítico:** | ||
| > | ||
| > ### 1. El Reto de la Serialización de Grafos (DAG to Sequence) | ||
| > * Grasshopper es un Grafo Acíclico Dirigido (DAG). Para entrenar un LLM, necesito "aplanar" ese grafo a texto. | ||
| > * Analiza: ¿Cuál es el formato más eficiente para que el modelo aprenda? | ||
| > * ¿JSON estructurado? | ||
| > * ¿Una pseudo-sintaxis tipo "NodeA[Out] -> NodeB[In]"? | ||
| > * ¿O entrenar directamente sobre el XML de `.ghx` ignorando los metadatos de posición visual (X, Y)? |
There was a problem hiding this comment.
Add language identifiers to fenced blocks (markdownlint MD040).
These fences are missing a language tag, which breaks MD040. Add a language (e.g., markdown or text) for consistency.
🛠️ Suggested fix
- ```
+ ```markdown
---
description: "Mandatory Memory Bank Workflow"
globs: ["**/*"]
alwaysApply: true
priority: critical
---
...
- ```
+ ```- ```
+ ```markdown
# Registro de Decisiones Arquitectónicas y de Producto
...
- ```
+ ```- ```
+ ```markdown
# Prompt: Ejecución Fases 1 y 2 - Generación del README Maestro
...
- ```
+ ```Also applies to: 682-686
🧰 Tools
🪛 markdownlint-cli2 (0.21.0)
[warning] 421-421: Fenced code blocks should have a language specified
(MD040, fenced-code-language)
[warning] 449-449: Fenced code blocks should have a language specified
(MD040, fenced-code-language)
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@prompts.md` around lines 417 - 449, Several fenced code blocks in prompts.md
(notably the blocks containing the YAML frontmatter with "description:
\"Mandatory Memory Bank Workflow\"", the block headed "Registro de Decisiones
Arquitectónicas y de Producto", and the block "Prompt: Ejecución Fases 1 y 2 -
Generación del README Maestro") lack language identifiers and trigger
markdownlint MD040; fix by adding an appropriate language tag (e.g., ```markdown
or ```text) immediately after each opening ``` fence for those blocks (also
apply same fix to the other occurrence around the content referenced as lines
682-686) so all fenced blocks include a language identifier.
| ## 3. Modelo de Datos | ||
| ```bash | ||
| # Clonar repositorio | ||
| git clone https://github.com/sagrada-familia/parts-manager.git |
There was a problem hiding this comment.
Placeholder repository URL — Quick Start is non-functional.
https://github.com/sagrada-familia/parts-manager.git does not match the actual repository (LIDR-academy/AI4Devs-finalproject). Anyone following the Quick Start will hit a 404.
📝 Proposed fix
-git clone https://github.com/sagrada-familia/parts-manager.git
+git clone https://github.com/LIDR-academy/AI4Devs-finalproject.git
cd parts-manager🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@readme.md` at line 69, The Quick Start git clone URL is pointing to a
placeholder repo; update the git clone command in README.md (the line containing
"git clone https://github.com/sagrada-familia/parts-manager.git") to the correct
repository URL "https://github.com/LIDR-academy/AI4Devs-finalproject.git" (and
verify the surrounding Quick Start steps still match the target repo); ensure
the command uses the correct HTTPS URL and update any subsequent repo-specific
paths or names referenced in the Quick Start.
2 participants
Descripción del PR
Sagrada Família Parts Manager (SF-PM) es un sistema enterprise que transforma archivos CAD estáticos (Rhino .3dm) en un gemelo digital activo para la gestión integral del inventario de 50,000+ piezas únicas de la Sagrada Família de Barcelona.
🎯 Propósito y Valor
El sistema resuelve el "Data Gravity Problem" de la construcción patrimonial: cuando los archivos CAD son tan pesados (hasta 2GB) que es más rápido duplicar trabajo que buscar información existente.
Impacto cuantificado:
🏗️ Arquitectura del Sistema
Cloud-Native Event-Driven Architecture con 6 capas:
Patrones aplicados: Event Sourcing, CQRS, Presigned URLs, Circuit Breakers
🤖 Componente Estrella: The Librarian Agent
Agente IA que valida automáticamente cada pieza mediante workflow LangGraph de 5 nodos:
Metadata Validation → Nomenclature Check (LLM) → Geometry Analysis → Enrichment (LLM) → Final Verdict
📊 Modelo de Datos
Esquema híbrido PostgreSQL (relacional) + JSONB (flexible):
🛠️ Stack Tecnológico
Costos operativos: $235/mes (MVP)
📚 Documentación Incluida
Este PR entrega documentación técnica completa en 7 fases (3,600+ líneas):
✅ Estado Actual
🎯 Próximos Pasos
Implementación del MVP siguiendo el roadmap técnico documentado en docs/08-roadmap.md:
Deliverable: readme-official.md con especificaciones completas
Tiempo invertido: ~40 horas
Diagramas creados: 15+ (Mermaid)
User Stories: 14 completas
Summary by CodeRabbit