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Project description

ZOMBIE Squirrel

License Code Style semantic-release: angular Interrogate Coverage Python

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zombie-squirrel is a set of one-line functions that handle the entire process of caching and retrieving data (and metadata) from AIND data assets.

In the background, the ZOMBIE squirrel repackages data/metadata into dataframes and stores them on S3 in a flat bucket, or in memory for testing.

Installation

pip install zombie-squirrel

Usage

Set backend

export FOREST_TYPE='S3'

Options are 'S3', 'MEMORY'.

Scurry (fetch) data

from zombie_squirrel import unique_project_names

project_names = unique_project_names()

Acorns

get_squirrel_info returns the following information about all available acorns:

Acorn Description Location Type Partitioned Columns
unique_project_names Unique project names across all assets s3://allen-data-views/data-asset-cache/zs_unique_project_names.pqt metadata False project_name
unique_subject_ids Unique subject_ids across all assets s3://allen-data-views/data-asset-cache/zs_unique_subject_ids.pqt metadata False subject_id
unique_genotypes Unique genotypes across all assets where subject.subject_details.genotype is present s3://allen-data-views/data-asset-cache/zs_unique_genotypes.pqt metadata False genotype
asset_basics Commonly used asset metadata, one row per data asset s3://allen-data-views/data-asset-cache/zs_asset_basics.pqt metadata False _id, _last_modified, modalities, project_name, data_level, subject_id, acquisition_start_time, acquisition_end_time, code_ocean, process_date, genotype, age, acquisition_type, location, name, experimenters, instrument_id, investigators
source_data Mapping from derived asset names to their source raw asset names s3://allen-data-views/data-asset-cache/zs_source_data.pqt metadata False name, source_data, pipeline_name, processing_time
quality_control Quality control table with one row per QC metric s3://allen-data-views/data-asset-cache/zs_qc/ asset True (by subject_id) name, stage, modality, value, status, asset_name
assets_smartspim SmartSPIM assets with processing status and neuroglancer links s3://allen-data-views/data-asset-cache/zs_assets_smartspim.pqt metadata False subject_id, genotype, institution, acquisition_start_time, processing_end_time, stitched_link, processed, name, channel_1, segmentation_link_1, quantification_link_1, channel_2, segmentation_link_2, quantification_link_2, channel_3, segmentation_link_3, quantification_link_3
platform_fib Fiber photometry assets in long form, one row per asset/fiber/channel combination s3://allen-data-views/data-asset-cache/zs_platform_fib.pqt metadata False asset_name, fiber, patch_cord, channel, intended_measurement, targeted_structure
metadata_core Presence of core aind-data-schema metadata files per asset (True if file is not null) s3://allen-data-views/data-asset-cache/zs_metadata_core.pqt metadata False _id, _last_modified, subject, data_description, procedures, instrument, acquisition, processing, quality_control

The raw_to_derived function is not a table stored in S3, instead it is used by passing an asset_name (or list of asset names) and a modality. The function returns the latest derived asset matching the requested pattern.

Custom acorn

The custom function allows you to store and retrieve your own user-defined DataFrames in the cache by name. This requires write authentication to the active backend.

from zombie_squirrel import custom
import pandas as pd

df = pd.DataFrame({"col": [1, 2, 3]})
custom("my_data", df)

retrieved_df = custom("my_data")

Hide all the acorns

We run a nightly capsule on Code Ocean with this code to hide all acorns (not the custom ones).

from zombie_squirrel.sync import hide_acorns
hide_acorns()

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