AI-Parrot Pipelines

ai-parrot-pipelines provides planogram compliance and vision workflows for AI-Parrot agents.

Installation

pip install ai-parrot-pipelines

Install the optional local-OCR dependencies when needed:

pip install "ai-parrot-pipelines[planogram]"

Features

Planogram Compliance — a perceive → identify → compare cycle for six types
Layout Profiles — validated, per-type geometry and identification settings
Optional Local OCR — RapidOCR is auto-detected when the planogram extra is installed
Migration Utility — converts and preflights six planogram configuration types

Available Pipelines

Pipeline/type	Description
`PlanogramCompliance`	Planogram compliance pipeline
`ProductOnShelves`	Product-facing shelves
`InkWall`	Price-tag-anchored ink walls
`EndcapBacklitMultitier`	Multi-tier endcaps
`EndcapNoShelvesPromotional`	Zone-based promotional endcaps
`GraphicPanelDisplay`	Zone-only graphic panels
`ProductCounter`	Product and zone counters

Quick Start

from parrot_pipelines.planogram.plan import PlanogramCompliance
from parrot_pipelines.models import PlanogramConfig

config = PlanogramConfig(
    config_name="example",
    planogram_type="product_on_shelves",
    planogram_config={},
    slots_definition={
        "version": "1",
        "shelves": [
            {
                "shelf_id": "shelf_1",
                "shelf_number": 1,
                "facings": [
                    {
                        "facing_id": "facing_1",
                        "shelf_id": "shelf_1",
                        "slot": 1,
                        "product": "example_product",
                        "descriptors": {"display_name": "Example product"},
                    }
                ],
            }
        ],
        "zones": [],
    },
)

pipeline = PlanogramCompliance(planogram_config=config, llm="openai:gpt-4o-mini")
result = await pipeline.run("shelf_photo.jpg")

Provide a complete, validated slots definition and rule bindings before a production run. See the cycle reference and the migration runbook.

Dependencies

Python >= 3.11
ai-parrot >= 0.24.2
opencv-python-headless >= 4.8
Optional planogram extra: rapidocr and onnxruntime

1.1.0 breaking changes

The removed detector APIs and required configuration migration are documented in the migration runbook.

License

MIT

Metadata

Release files for ai-parrot-pipelines 1.1.1

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Source distribution for ai-parrot-pipelines 1.1.1
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Publishing repository: github.com/phenobarbital/ai-parrot
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