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LangChain & Dagster Structural Office Conversion Analyzer

Commercial office adaptive reuse projects face severe structural and plumbing constraints during conversion. Build an automated Dagster orchestrator utilizing LangChain pipelines to extract floorplate geometry, run structural compliance checks, and yield structured feasibility scores with 90% audit pass rates.

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What you are building

Implement an automated pipeline using LangChain and Dagster to analyze office floorplates for residential conversion feasibility.

How work is evaluated

Evaluation

Evaluates the accuracy of floorplate structural scoring and Dagster pipeline execution output.

Datasets

Public datasets, plus the private datasets you have access to.

How submissions are scored

Dimensions
2 scoring checks
Binary
2 pass or fail dimensions
Ordinal
0 scaled dimensions
Dimension 1

schema_and_range_check

Validates schema adherence and accurate scoring calculation.

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Dimension 2

feasibility_score_accuracy

Mean absolute deviation from ground-truth conversion feasibility ratings. • target: 0.95 • range: 0-1

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Learning goals

  • Extract structural dimensions and core-to-window depth from architectural CAD/PDF files

  • Orchestrate multi-stage compliance pipelines in Dagster with strict data assets

  • Implement LangChain agents with custom CAD extraction tools

  • Validate structural feasibility against municipal residential zoning standards

Resources

Dataset notes

Synthetic architectural floorplate measurements and CAD geometry descriptors for 50 commercial office towers.

Challenge setup

Evaluates the accuracy of floorplate structural scoring and Dagster pipeline execution output.

Challenge input

JSON containing CAD floorplate specs and core depth metrics

LangChain

Provides tool abstractions and agent logic for parsing CAD text reports.

Dagster

Manages software-defined assets and execution graph for multi-property evaluation.

Evaluated output

JSON with feasibility score, structural pass/fail flag, and violation array

Evaluation checks
  • Validates schema adherence and accurate scoring calculation.
  • Mean absolute deviation from ground-truth conversion feasibility ratings. • target: 0.95 • range: 0-1
Configured evaluation evidence
  • Benchmark: RealEstateFeasibilityBench
  • Feasibility Score Accuracy target: 0.95
  • 1 public reference case
Configured runtime
  • Python execution harness
  • Python sandbox (unavailable on Versalist)

Shows the first task, up to three tools, and up to three evidence items.

View technical recipe

Configured tools

Action Space
  • Dagster · Required
  • LangChain · Optional
  • LiveKit · Optional
Orchestration
  • LangChain · Optional

Evaluation contract

  • schema_and_range_check · Weight 1
  • feasibility_score_accuracy · Weight 1

Metrics

  • feasibility_score_accuracy · Target 0.95

Benchmarks

  • RealEstateFeasibilityBench
  • general

Reference cases

  • 1 public reference case

Workflow tasks

  1. Task 1

    Input: JSON containing CAD floorplate specs and core depth metrics

    Output: JSON with feasibility score, structural pass/fail flag, and violation array

    Execution harness: Python

Evaluation tools

  • LangChain · Agent Framework
  • Dagster · Data Orchestration

Recipe freeze marker

No recipe freeze time is recorded.

Frequently Asked Questions about LangChain & Dagster Structural Office Conversion Analyzer