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CONTRACTRESERVETHRESHOLD

CONTRACTRESERVETHRESHOLD shows reserve contract threshold details for enabling, usage and availability thresholds and rates for reserve trader contracts.

Deprecation Warning

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

CONTRACTRESERVETHRESHOLD data is confidential to the relevant participant.

Source

CONTRACTRESERVETHRESHOLD updates when reserve contracts are first entered or updated.

Column Schema

CONTRACTID

Contract Identifier

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

This column is mandatory, and a primary key.

VERSIONNO

Contract Version

SQL Type: NUMBER(3,0) Polars Type: pl.UInt16

This column is mandatory, and a primary key.

AUTHORISEDBY

User name

SQL Type: VARCHAR2(15) Polars Type: str

This column is not mandatory.

AUTHORISEDDATE

Date contract was authorised

Warning

Despite what the name suggests, this is a datetime, not a date.

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

This column is not mandatory.

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

CRA

Availability Rate $

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

This column is not mandatory.

CRE

Enabling Rate $

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

This column is not mandatory.

CRU

Usage Rate $

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

This column is not mandatory.

CTA

Availability Threshold MW/h

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

This column is not mandatory.

CTE

Enabling Threshold MW/h

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

This column is not mandatory.

CTU

Usage Threshold MW/h

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

New Data Timing

When reserve contracts are created or updated

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("AUTHORISEDDATE", "LASTCHANGED").str.strptime(pl.Datetime, dt_s_fmt),
    )
    .cast(
        {
            "CONTRACTID": pl.Categorical,
            "VERSIONNO": int,  # or pl.UInt16
            "AUTHORISEDBY": str,
            "CRA": pl.Float64,
            "CRE": pl.Float64,
            "CRU": pl.Float64,
            "CTA": pl.Float64,
            "CTE": pl.Float64,
            "CTU": pl.Float64,
        }
    )
    # Deduplicate
    # We want one row per ['CONTRACTID', 'VERSIONNO']
    # Tie-breaker: greatest value of ['LASTCHANGED']
    .sort(["LASTCHANGED"], descending=False)
    .unique(subset=["CONTRACTID", "VERSIONNO"], 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:

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