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FPP_RUN

This report delivers details of the 5-minute FPP calculation engine success failure outcome saved in FPP database

Column Schema

INTERVAL_DATETIME

Date and time of the trading interval (DD/MM/YYYY HH24:MI:SS) fixed to the UTC+10 time zone (NEM time)

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

This column is mandatory, and a primary key.

Example: 2026/09/01 00:05:00

VERSIONNO

Version (FPP run number from the FPP database)

SQL Type: NUMBER(5) Polars Type: pl.UInt32

This column is mandatory, and a primary key.

Example: 1

AUTHORISED_DATETIME

Date and time of the authorisation of this FPP calculation run (DD/MM/YYYY HH24:MI:SS) fixed to the UTC+10 time zone (NEM time) - Note may be delayed in cases of ex-post calculation runs

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

This column is not mandatory.

Example: 2026/09/01 00:10:15

FPPRUN_DATETIME

Completion time of the FPP calculation run (DD/MM/YYYY HH24:MI:SS) fixed to the UTC+10 time zone (NEM time)

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

This column is not mandatory.

Example: 2026/09/01 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: 2026/09/01 00:10:20

RUN_STATUS

The status of FPP_RUN at the time the data model extract report was run. Typical value is Completed

SQL Type: VARCHAR2(20) Polars Type: str

This column is not mandatory.

Example: Completed

New Data Timing

At the completion of an FPP calculation run for a closed trading interval (i.e. every 5 minutes)

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(
            "INTERVAL_DATETIME", "AUTHORISED_DATETIME", "FPPRUN_DATETIME", "LASTCHANGED"
        ).str.strptime(pl.Datetime, dt_s_fmt),
    )
    .cast({"VERSIONNO": int, "RUN_STATUS": str})  # or pl.UInt32
    # Deduplicate
    # We want one row per ['INTERVAL_DATETIME', 'VERSIONNO']
    # Tie-breaker: greatest value of LASTCHANGED
    .sort(LASTCHANGED, descending=False)
    .unique(subset=["INTERVAL_DATETIME", "VERSIONNO"], keep="last")
)

Nemosis

This table is not yet available in Nemosis.

Example File

From PUBLIC_ARCHIVE_FPP_RUN_FILE01_202609010000.zip

INTERVAL_DATETIMEVERSIONNOFPPRUN_DATETIMERUN_STATUSAUTHORISED_DATETIMELASTCHANGED
2026/09/04 13:50:0012026/09/04 13:50:00Completed2026/09/04 13:54:172026/09/04 13:54:20
2026/09/04 14:00:0012026/09/04 14:00:00Completed2026/09/04 14:04:162026/09/04 14:04:20
2026/09/04 14:10:0012026/09/04 14:10:00Completed2026/09/04 14:14:092026/09/04 14:14:10
2026/09/04 14:15:0012026/09/04 14:15:00Completed2026/09/04 14:18:102026/09/04 14:18:15
2026/09/04 14:20:0012026/09/04 14:20:00Completed2026/09/04 14:24:102026/09/04 14:24:15
2026/09/04 14:25:0012026/09/04 14:25:00Completed2026/09/04 14:28:112026/09/04 14:28:15
2026/09/04 15:05:0012026/09/04 15:05:00Completed2026/09/04 15:08:152026/09/04 15:08:20
2026/09/04 15:10:0012026/09/04 15:10:00Completed2026/09/04 15:14:172026/09/04 15:14:20
2026/09/04 16:00:0012026/09/04 16:00:00Completed2026/09/04 16:04:122026/09/04 16:04:15
2026/09/04 16:05:0012026/09/04 16:05:00Completed2026/09/04 16:08:122026/09/04 16:08:15
2026/09/04 16:20:0012026/09/04 16:20:00Completed2026/09/04 16:24:142026/09/04 16:24:15
...

CSETP.WORLDDVD_FPP_RUNAEMOPUBLIC2026/10/0917:50:07001791532207098MONTHLY_ARCHIVE001791532207098
IFPPFPP_RUN1INTERVAL_DATETIMEVERSIONNOFPPRUN_DATETIMERUN_STATUSAUTHORISED_DATETIMELASTCHANGED
DFPPFPP_RUN12026/09/04 13:50:0012026/09/04 13:50:00Completed2026/09/04 13:54:172026/09/04 13:54:20
DFPPFPP_RUN12026/09/04 14:00:0012026/09/04 14:00:00Completed2026/09/04 14:04:162026/09/04 14:04:20
DFPPFPP_RUN12026/09/04 14:10:0012026/09/04 14:10:00Completed2026/09/04 14:14:092026/09/04 14:14:10
DFPPFPP_RUN12026/09/04 14:15:0012026/09/04 14:15:00Completed2026/09/04 14:18:102026/09/04 14:18:15
DFPPFPP_RUN12026/09/04 14:20:0012026/09/04 14:20:00Completed2026/09/04 14:24:102026/09/04 14:24:15
DFPPFPP_RUN12026/09/04 14:25:0012026/09/04 14:25:00Completed2026/09/04 14:28:112026/09/04 14:28:15
DFPPFPP_RUN12026/09/04 15:05:0012026/09/04 15:05:00Completed2026/09/04 15:08:152026/09/04 15:08:20
DFPPFPP_RUN12026/09/04 15:10:0012026/09/04 15:10:00Completed2026/09/04 15:14:172026/09/04 15:14:20
DFPPFPP_RUN12026/09/04 16:00:0012026/09/04 16:00:00Completed2026/09/04 16:04:122026/09/04 16:04:15
DFPPFPP_RUN12026/09/04 16:05:0012026/09/04 16:05:00Completed2026/09/04 16:08:122026/09/04 16:08:15
DFPPFPP_RUN12026/09/04 16:20:0012026/09/04 16:20:00Completed2026/09/04 16:24:142026/09/04 16:24:15
...
CEND OF REPORT1003

INTERVAL_DATETIME,VERSIONNO,FPPRUN_DATETIME,RUN_STATUS,AUTHORISED_DATETIME,LASTCHANGED
"2026/09/04 13:50:00",1,"2026/09/04 13:50:00",Completed,"2026/09/04 13:54:17","2026/09/04 13:54:20"
"2026/09/04 14:00:00",1,"2026/09/04 14:00:00",Completed,"2026/09/04 14:04:16","2026/09/04 14:04:20"
"2026/09/04 14:10:00",1,"2026/09/04 14:10:00",Completed,"2026/09/04 14:14:09","2026/09/04 14:14:10"
"2026/09/04 14:15:00",1,"2026/09/04 14:15:00",Completed,"2026/09/04 14:18:10","2026/09/04 14:18:15"
"2026/09/04 14:20:00",1,"2026/09/04 14:20:00",Completed,"2026/09/04 14:24:10","2026/09/04 14:24:15"
"2026/09/04 14:25:00",1,"2026/09/04 14:25:00",Completed,"2026/09/04 14:28:11","2026/09/04 14:28:15"
"2026/09/04 15:05:00",1,"2026/09/04 15:05:00",Completed,"2026/09/04 15:08:15","2026/09/04 15:08:20"
"2026/09/04 15:10:00",1,"2026/09/04 15:10:00",Completed,"2026/09/04 15:14:17","2026/09/04 15:14:20"
"2026/09/04 16:00:00",1,"2026/09/04 16:00:00",Completed,"2026/09/04 16:04:12","2026/09/04 16:04:15"
"2026/09/04 16:05:00",1,"2026/09/04 16:05:00",Completed,"2026/09/04 16:08:12","2026/09/04 16:08:15"
"2026/09/04 16:20:00",1,"2026/09/04 16:20:00",Completed,"2026/09/04 16:24:14","2026/09/04 16:24:15"
...

C,SETP.WORLD,DVD_FPP_RUN,AEMO,PUBLIC,2026/10/09,17:50:07,001791532207098,MONTHLY_ARCHIVE,001791532207098
I,FPP,FPP_RUN,1,INTERVAL_DATETIME,VERSIONNO,FPPRUN_DATETIME,RUN_STATUS,AUTHORISED_DATETIME,LASTCHANGED
D,FPP,FPP_RUN,1,"2026/09/04 13:50:00",1,"2026/09/04 13:50:00",Completed,"2026/09/04 13:54:17","2026/09/04 13:54:20"
D,FPP,FPP_RUN,1,"2026/09/04 14:00:00",1,"2026/09/04 14:00:00",Completed,"2026/09/04 14:04:16","2026/09/04 14:04:20"
D,FPP,FPP_RUN,1,"2026/09/04 14:10:00",1,"2026/09/04 14:10:00",Completed,"2026/09/04 14:14:09","2026/09/04 14:14:10"
D,FPP,FPP_RUN,1,"2026/09/04 14:15:00",1,"2026/09/04 14:15:00",Completed,"2026/09/04 14:18:10","2026/09/04 14:18:15"
D,FPP,FPP_RUN,1,"2026/09/04 14:20:00",1,"2026/09/04 14:20:00",Completed,"2026/09/04 14:24:10","2026/09/04 14:24:15"
D,FPP,FPP_RUN,1,"2026/09/04 14:25:00",1,"2026/09/04 14:25:00",Completed,"2026/09/04 14:28:11","2026/09/04 14:28:15"
D,FPP,FPP_RUN,1,"2026/09/04 15:05:00",1,"2026/09/04 15:05:00",Completed,"2026/09/04 15:08:15","2026/09/04 15:08:20"
D,FPP,FPP_RUN,1,"2026/09/04 15:10:00",1,"2026/09/04 15:10:00",Completed,"2026/09/04 15:14:17","2026/09/04 15:14:20"
D,FPP,FPP_RUN,1,"2026/09/04 16:00:00",1,"2026/09/04 16:00:00",Completed,"2026/09/04 16:04:12","2026/09/04 16:04:15"
D,FPP,FPP_RUN,1,"2026/09/04 16:05:00",1,"2026/09/04 16:05:00",Completed,"2026/09/04 16:08:12","2026/09/04 16:08:15"
D,FPP,FPP_RUN,1,"2026/09/04 16:20:00",1,"2026/09/04 16:20:00",Completed,"2026/09/04 16:24:14","2026/09/04 16:24:15"
...
C,"END OF REPORT",1003

Availability

Visibility: Public

This table is in the public monthly MMSDM archive.

I have collated the list of all those files into one place, in this CSV metadata file. (Columns year, month, url, compressed_size in bytes).

The earliest available data is month 12 of 2024. The most recent available data is month 9 of 2026.

Every month in between has a file. (No gaps.)

Data Size

Each year of data is approximately 1 MB when zipped, 14 MB as unzipped CSV.

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.

PDR Loader configuration is:

Report Name Report Subtype Version
FPP FPP_RUN 1

This means that the CSV files start with metadata columns:

I,FPP,FPP_RUN,1,...
D,FPP,FPP_RUN,1,...

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: FPP