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PASACONSTRAINTSOLUTION

PASACONSTRAINTSOLUTION records the latest binding STPASA constraint details for each period. For each solution, the latest recalculation for each period overwrites the previous entry.

Deprecation Warning

This table is in the HISTORICAL TABLES package, so is likely deprecated.

PASACONSTRAINTSOLUTION is obsolete on 27 March 2002

PASACONSTRAINTSOLUTION is public data, so is available to all participants.

Source

PASACONSTRAINTSOLUTION is not used; was updated every 2 hours.

Column Schema

CONSTRAINTID

Generic Constraint Id

SQL Type: VARCHAR2(20) Polars Type: pl.Categorical

This column is mandatory, and a primary key.

PERIODID

PASA Interval (48 half hours)

SQL Type: VARCHAR2(20) Polars Type: str

This column is mandatory, and a primary key.

CAPACITYMARGINALVALUE

Binding value of capacity and adequacy (if insufficient to measure)

SQL Type: NUMBER(16,6) Polars Type: pl.Float64

This column is not mandatory.

CAPACITYVIOLATIONDEGREE

Deficit MW of surplus capacity

SQL Type: NUMBER(16,6) Polars Type: pl.Float64

This column is not mandatory.

CASEID

PASA Case Identifier

SQL Type: VARCHAR2(20) Polars Type: str

This column is mandatory (but not a primary key).

DATETIME

Date and time of the end of the period

SQL Type: DATE Polars Type: pl.Datetime()

This column is not mandatory.

Example: 2026/01/20 00:05:00

EXCESSGENMARGINALVALUE

Binding value of dispatch generator above aggregate self dispatch

SQL Type: NUMBER(16,6) Polars Type: pl.Float64

This column is not mandatory.

EXCESSGENVIOLATIONDEGREE

Deficit of generator above aggregate self dispatch level

SQL Type: NUMBER(16,6) Polars Type: pl.Float64

This column is not mandatory.

LASTCHANGED

Last date and time record changed

For more information, see the dedicated documentation page.

SQL Type: DATE Polars Type: pl.Datetime()

This column is not mandatory.

Example: 2026/01/20 00:05:00

Code Examples

Polars

Casting is enums, categoricals etc is not essential, but may speed up parsing. Swapping int for pl.UInt16, pl.Int32 would also speed up parsing. However some of the datatypes are inferred, so they may be wrong.

This code deduplicates for you. Deduplication is normally only required across multiple months.

This code assumes that all columns are present, which may not be true for older files.

import polars as pl
import polars.selectors as cs

# e.g. "2029/03/15 00:05:00"
dt_s_fmt = "%Y/%m/%d %H:%M:%S"

csv_paths = ["SOMEFILE.CSV", "OTHERFILE.CSV"]

lf = (
    pl.concat(
        [
            pl.scan_csv(
                csv_path,  # must be unzipped beforehand
                skip_rows=1,  # skip the header
                infer_schema=False,  # much faster
            )
            .filter(cs.by_index(0) == "D")  # drop the footer
            .select(~cs.by_index(range(4)))  # drop metadata columns
            for csv_path in csv_paths
        ],
        how="diagonal_relaxed",
    )
    .with_columns(
        pl.col("DATETIME", "LASTCHANGED").str.strptime(pl.Datetime, dt_s_fmt),
    )
    .cast(
        {
            "CONSTRAINTID": pl.Categorical,
            "PERIODID": str,
            "CAPACITYMARGINALVALUE": pl.Float64,
            "CAPACITYVIOLATIONDEGREE": pl.Float64,
            "CASEID": str,
            "EXCESSGENMARGINALVALUE": pl.Float64,
            "EXCESSGENVIOLATIONDEGREE": pl.Float64,
        }
    )
    # Deduplicate
    # We want one row per ['CONSTRAINTID', 'PERIODID']
    # Tie-breaker: greatest value of ['LASTCHANGED']
    .sort(["LASTCHANGED"], descending=False)
    .unique(subset=["CONSTRAINTID", "PERIODID"], keep="last")
)

Nemosis

This table is not yet available in Nemosis.

Availability

AEMO's documentation states that this table's visibility is "Public". However, it is not available in the public monthly MMSDM archive. AEMO probably call this public because it is available to all market participants over private FTP.

There is a chance that is is still public to non-participants. It may only be available for some months; or (rarely) it may be available in a non-standard location.

Deduplication and PDR Loader Configuration

The primary keys are:

PDR Loader configuration does not mention this table, so it is unclear how to choose which row to keep when there are multiple rows for a given set of primary keys.

You should probably take the row with the maximum LASTCHANGED.

Indexes

This page as JSON (schema documented here, but may change)

Download a JSON Schema specification for this table.

Official AEMO schema documentation

Other Information

Package: HISTORICAL TABLES