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INTCONTRACT

INTCONTRACT shows intervention contract details. These are specific to each intervention.

Deprecation Warning

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

INTCONTRACT became unused when Ancillary Services Review was implemented in 2001.

Confidential to participant

Source

INTCONTRACT is unused; was updated as required.

Column Schema

CONTRACTID

Intervention Contract Identifier

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

This column is mandatory, and a primary key.

DUID

Dispatchable Unit ID

Warning

This column may contain funny characters such as / (slash) or # (hash). This may break hive-style partitioning.

For more information, see the dedicated documentation page.

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

This column is not mandatory.

Example: W/HOE#2

ENDDATE

Terminate 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

ENDPERIOD

Terminate period of contract in trading interval

SQL Type: NUMBER(3,0) Polars Type: pl.Int16

This column is not mandatory.

LASTCHANGED

Last changed date/time

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.

REGIONID

Region Identifier

For more information, see the dedicated documentation page.

The SQL type is VARCHAR2(10). This is actually a factor/enum, with values:

  • QLD1

  • VIC1

  • TAS1

  • NSW1

  • SA1

  • SNOWY1

This column is not mandatory.

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

STARTPERIOD

Starting period of contract

SQL Type: NUMBER(3,0) Polars Type: pl.Int16

This column is not mandatory.

DEREGISTRATIONDATE

Not Used

Warning

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

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

This column is unused.

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

DEREGISTRATIONPERIOD

Not Used

SQL Type: NUMBER(3,0) Polars Type: pl.Int16

This column is unused.

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(
            "ENDDATE", "LASTCHANGED", "STARTDATE", "DEREGISTRATIONDATE"
        ).str.strptime(pl.Datetime, dt_s_fmt),
    )
    .cast(
        {
            "CONTRACTID": pl.Categorical,
            "DUID": pl.Categorical,
            "ENDPERIOD": int,  # or pl.Int16
            "PARTICIPANTID": pl.Categorical,
            "REGIONID": pl.Enum(["QLD1", "VIC1", "TAS1", "NSW1", "SA1", "SNOWY1"]),
            "STARTPERIOD": int,  # or pl.Int16
            "DEREGISTRATIONPERIOD": int,  # or pl.Int16
        }
    )
    # Drop deprecated/unused columns
    .drop("DEREGISTRATIONDATE", "DEREGISTRATIONPERIOD")
    # Deduplicate
    # We want one row per ['CONTRACTID']
    # Tie-breaker: greatest value of ['LASTCHANGED']
    .sort(["LASTCHANGED"], descending=False)
    .unique(subset=["CONTRACTID"], 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