SRA_FINANCIAL_AUCPAY_SUM

Records a summary of the Auction payment amount

Column Schema

PARTICIPANTID

Unique participant identifier

For more information, see the dedicated documentation page.

SQL Type: VARCHAR2(10) Polars Type: pl.Categorical

This column is mandatory, and a primary key.

SRA_QUARTER

Relevant Quarter of the Tranche

SQL Type: NUMBER(3) Polars Type: pl.UInt16

This column is mandatory, and a primary key.

SRA_RUNNO

SRA Run Number

SQL Type: NUMBER(3) Polars Type: pl.UInt16

This column is mandatory, and a primary key.

SRA_YEAR

Year of the Tranche

SQL Type: NUMBER(4) Polars Type: pl.UInt16

This column is mandatory, and a primary key.

GROSS_PROCEEDS_AMOUNT

The total auction proceeds allocated to the TNSP

SQL Type: NUMBER(18,8) Polars Type: pl.Float64

This column is not mandatory.

LASTCHANGED

The date and time this record was last modified

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

NET_PAYMENT_AMOUNT

The net payment amount owed by AEMO to the TNSP

SQL Type: NUMBER(18,8) Polars Type: pl.Float64

This column is not mandatory.

SHORTFALL_AMOUNT

The shortfall amount for in the SRA Quarter for the TNSP

SQL Type: NUMBER(18,8) Polars Type: pl.Float64

This column is not mandatory.

TOTAL_GROSS_PROCEEDS_AMOUNT

The total auction proceeds allocated to all TNSPs in the SRA quarter

SQL Type: NUMBER(18,8) Polars Type: pl.Float64

This column is not mandatory.

TOTAL_SHORTFALL_AMOUNT

The total shortfall amount for in the SRA Quarter for all TNSPs

SQL Type: NUMBER(18,8) Polars Type: pl.Float64

This column is not mandatory.

New Data Timing

On successful posting of an SRA financials run

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("LASTCHANGED").str.strptime(pl.Datetime, dt_s_fmt),
    )
    .cast(
        {
            "PARTICIPANTID": pl.Categorical,
            "SRA_QUARTER": int,  # or pl.UInt16
            "SRA_RUNNO": int,  # or pl.UInt16
            "SRA_YEAR": int,  # or pl.UInt16
            "GROSS_PROCEEDS_AMOUNT": pl.Float64,
            "NET_PAYMENT_AMOUNT": pl.Float64,
            "SHORTFALL_AMOUNT": pl.Float64,
            "TOTAL_GROSS_PROCEEDS_AMOUNT": pl.Float64,
            "TOTAL_SHORTFALL_AMOUNT": pl.Float64,
        }
    )
    # Deduplicate
    # We want one row per ['PARTICIPANTID', 'SRA_QUARTER', 'SRA_RUNNO', 'SRA_YEAR']
    # Tie-breaker: greatest value of LASTCHANGED
    .sort(LASTCHANGED, descending=False)
    .unique(
        subset=["PARTICIPANTID", "SRA_QUARTER", "SRA_RUNNO", "SRA_YEAR"], keep="last"
    )
)

Nemosis

This table is not yet available in Nemosis.

Availability

Visibility: Private

This table is not available in the public monthly MMSDM archive. Is is only available to registered market participants over FTP inside a VPN.

Deduplication and PDR Loader Configuration

The primary keys are:

• PARTICIPANTID

• SRA_QUARTER

• SRA_RUNNO

• SRA_YEAR

The transaction type is "insert", which means that you will usually not see duplicate data. If you do, you can deduplicate based on the primary keys, without sorting first. Rows from different files with the same primary keys should have the same values.

PDR Loader configuration is:

Report Name	Report Subtype	Version
IRAUCTION	SRA_FINANCIAL_AUCPAY_SUM	1

This means that the CSV files start with metadata columns:

I,IRAUCTION,SRA_FINANCIAL_AUCPAY_SUM,1,...
D,IRAUCTION,SRA_FINANCIAL_AUCPAY_SUM,1,...

Links

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: IRAUCTION

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