CONTRACTRESTARTSERVICES

CONTRACTRESTARTSERVICES shows Restart Services contract details used in the settlement and dispatch of this service.

CONTRACTRESTARTSERVICES data is confidential to the participant holding the contract.

Source

CONTRACTRESTARTSERVICES updates only where there is a contract variation.

Column Schema

CONTRACTID

Contract Identifier

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

This column is mandatory, and a primary key.

VERSIONNO

Contract Version No.

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

DEFAULT_TESTINGPAYMENT_AMOUNT

The NMAS default payment amount

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

This column is not mandatory.

ENDDATE

Termination Date of Contract

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

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

PARTICIPANTID

Unique participant identifier

For more information, see the dedicated documentation page.

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

This column is not mandatory.

RCPRICE

Availability Price

SQL Type: NUMBER(6,2) Polars Type: pl.Float64

This column is not mandatory.

RESTARTTYPE

Restart Type - 0 = BlackStart, 1 = Combination, 2 = Trip To House

SQL Type: NUMBER(1,0) Polars Type: pl.Int8

This column is not mandatory.

SERVICE_START_DATE

The NMAS Testing Service Start Date

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

STARTDATE

Starting Date of Contract

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

TRIPTOHOUSELEVEL

Trip To House Level

SQL Type: NUMBER(5,0) Polars Type: pl.Int32

This column is not mandatory.

New Data Timing

When there is a restart contract

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",
            "ENDDATE",
            "LASTCHANGED",
            "SERVICE_START_DATE",
            "STARTDATE",
        ).str.strptime(pl.Datetime, dt_s_fmt),
    )
    .cast(
        {
            "CONTRACTID": pl.Categorical,
            "VERSIONNO": int,  # or pl.UInt16
            "AUTHORISEDBY": str,
            "DEFAULT_TESTINGPAYMENT_AMOUNT": pl.Float64,
            "PARTICIPANTID": pl.Categorical,
            "RCPRICE": pl.Float64,
            "RESTARTTYPE": int,  # or pl.Int8
            "TRIPTOHOUSELEVEL": int,  # or pl.Int32
        }
    )
    # Deduplicate
    # We want one row per ['CONTRACTID', 'VERSIONNO']
    # Tie-breaker: greatest value of ['PARTICIPANTID']
    .sort(["PARTICIPANTID"], 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:

• CONTRACTID

• VERSIONNO

The transaction type is "INSERT-UPDATE", which means that you will likely see duplicate data with different values.

You should deduplicate by sorting based on LASTCHANGED, within each group of primary keys.

PDR Loader configuration is:

Report Name	Report Subtype	Version
ANCILLIARY_SERVICES	CONTRACTRESTARTSERVICES	1
ANCILLIARY_SERVICES	CONTRACTRESTARTSERVICES	2

This means that the CSV files start with metadata columns:

I,ANCILLIARY_SERVICES,CONTRACTRESTARTSERVICES,1,...
D,ANCILLIARY_SERVICES,CONTRACTRESTARTSERVICES,1,...

or

I,ANCILLIARY_SERVICES,CONTRACTRESTARTSERVICES,2,...
D,ANCILLIARY_SERVICES,CONTRACTRESTARTSERVICES,2,...

ROW_FILTER_TYPE is LASTCHANGED

Indexes

There is more than one index.

Index 1:

• PARTICIPANTID

Index 2:

• LASTCHANGED

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: ANCILLARY_SERVICES

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