SECDEPOSIT_PROVISION
The security deposit provision entry details
Column Schema
PARTICIPANTID
The Participant ID linked to the security deposit ID
For more information, see the dedicated documentation page.
SQL Type: VARCHAR2(20)
Polars Type: pl.Categorical
This column is mandatory, and a primary key.
SECURITY_DEPOSIT_ID
The security deposit ID
SQL Type: VARCHAR2(20)
Polars Type: str
This column is mandatory, and a primary key.
AMOUNT
The security deposit amount
SQL Type: NUMBER(18,8)
Polars Type: pl.Float64
This column is not mandatory.
INTEREST_ACCT_ID
The Interest Account ID for calculating the Interest Payment. This is NULL if the INTEREST_CALC_TYPE = FIXED
SQL Type: VARCHAR2(20)
Polars Type: str
This column is not mandatory.
INTEREST_CALC_TYPE
FIXED OR DAILY
The SQL type is VARCHAR2(20).
This is actually a factor/enum, with values:
-
FIXED -
DAILY
This column is not mandatory.
INTEREST_RATE
The interest rate assigned to the security deposit ID. Null if INTEREST_CALC_TYPE <> FIXED
SQL Type: NUMBER(18,8)
Polars Type: pl.Float64
This column is not mandatory.
MATURITY_CONTRACTYEAR
The contract year of the billing week when the security deposit is maturing
SQL Type: NUMBER(4,0)
Polars Type: pl.UInt16
This column is not mandatory.
MATURITY_WEEKNO
The week no of the billing week when the security deposit is maturing
SQL Type: NUMBER(3,0)
Polars Type: pl.UInt16
This column is not mandatory.
TRANSACTION_DATE
The date the security deposit ID is entered and authorised by settlements
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
New Data Timing
Upon entering and authorising the security deposit provision and interest rate
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("TRANSACTION_DATE").str.strptime(pl.Datetime, dt_s_fmt),
)
.cast(
{
"PARTICIPANTID": pl.Categorical,
"SECURITY_DEPOSIT_ID": str,
"AMOUNT": pl.Float64,
"INTEREST_ACCT_ID": str,
"INTEREST_CALC_TYPE": pl.Enum(["FIXED", "DAILY"]),
"INTEREST_RATE": pl.Float64,
"MATURITY_CONTRACTYEAR": int, # or pl.UInt16
"MATURITY_WEEKNO": int, # or pl.UInt16
}
)
# Deduplicate
# We want one row per ['PARTICIPANTID', 'SECURITY_DEPOSIT_ID']
.unique(subset=["PARTICIPANTID", "SECURITY_DEPOSIT_ID"], keep="any")
)
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:
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.
| Report Name | Report Subtype | Version |
|---|---|---|
| BILLING_CONFIG | SECDEPOSIT_PROVISION | 1 |
This means that the CSV files start with metadata columns:
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: BILLING_CONFIG