analyze_basic_metrics

Workflow for analyzing basic metrics.

Working location structure:

(name)
├── analysis
│   └── analysis.BASIC_METRICS
│       └── (name)_(key).BASIC_METRICS.csv
└── results
    └── (name)_(key)_(seed).csv

Data from results are processed into analysis.BASIC_METRICS.

Flows

run_flow	Main analyze basic metrics flow.
run_flow_process_results	Analyze basic metrics subflow for processing results.

run_flow(context: ContextConfig, series: SeriesConfig, parameters: ParametersConfig) → None

Main analyze basic metrics flow.

Calls the following subflows, in order:

1. run_flow_process_results()

run_flow_process_results(context: ContextConfig, series: SeriesConfig, parameters: ParametersConfig) → None

Analyze basic metrics subflow for processing results.

Processes parsed simulation results and compiles into a single dataframe. If the combined dataframe already exists for a given key, that key is skipped.

Configs

ContextConfig	Context configuration for analyze basic metrics flow.
ParametersConfig	Parameter configuration for analyze basic metrics flow.
SeriesConfig	Series configuration for analyze basic metrics flow.

class ContextConfig

Context configuration for analyze basic metrics flow.

working_location: str

Location for input and output files (local path or S3 bucket).

class ParametersConfig

Parameter configuration for analyze basic metrics flow.

regions: list[str]

List of subcellular regions.

ds: float | None = None

Spatial scaling in units/um.

dt: float | None = None

Temporal scaling in hours/tick.

class SeriesConfig

Series configuration for analyze basic metrics flow.

name: str

Name of the simulation series.

seeds: list[int]

List of series random seeds.

conditions: list[dict]

List of series condition dictionaries (must include unique condition “key”).