This release is a pre-release and may not be stable for production use.
PSR Factory
Factory is a library that helps to manage SDDP cases. It contains functions that create, load, and save studies, and also functions that create, access, and modify objects in a study.
Installation
Open the command prompt and run the following command:
pip install psr-factory
Factory will be available to all Python scripts in your system after importing it:
import psr.factory
Usage sample
import psr.factory
study = psr.factory.load_study(r"C:\temp\my\study")
system_1 = study.find("System.*")[0]
battery = study.create("Battery")
battery.code = 1
battery.name = "Battery 1"
battery.set("InstalledCapacity", 10.0)
battery.set("RefSystem", system_1)
study.add(battery)
study.save(r"C:\temp\my\updated_study")
Reading results
load_dataframe reads a result file whole. When one is too large for that --
an hourly case easily is -- scan_dataframe reads it in batches, so memory
follows the batch size and not the file size:
import psr.factory
with psr.factory.scan_dataframe(r"C:\case\gerter.hdr",
batch_rows=100_000,
filter_agents=["Thermal 1"]) as scan:
peak = max(float(batch["Thermal 1"].max()) for batch in scan)
psr.factory.write_dataframe(destination, scan) writes one back the same
way, so a whole file-to-file transform never holds either end. Batches are
ordinary DataFrame objects: index them with numpy, or convert with
to_pandas() / to_polars(), or hand them straight to pyarrow, polars or
DuckDB through the Arrow protocol.
Result files are read with a fast direct reader by default, falling back
automatically to the long-standing reader for the formats it does not cover.
psr.factory.set_setting("LEGACY_RESULT_READER", True) forces every read back
through the long-standing one.
Full documentation
The full documentation and reference is available at https://docs.psr-inc.com/knowledgehub/solutions/additional_tools/factory/getting_started/introduction.html.
Licensing
PSR Factory is commercial, proprietary software. It is not open source. Installing it from PyPI does not by itself grant a right to use it.
- The software licence is the PSR Factory Software License Agreement,
distributed with every wheel as
LICENSE.txt(inside the installed package atpsr_factory-<version>.dist-info/licenses/LICENSE.txt). Installing or using the package means accepting it. It is offered as two paid grants, Evergreen (perpetual) and Annual (subscription). - A runtime licence is separate. The agreement governs your right to use
the software; a valid PSR licence is what makes it run. Check yours with
psr.factory.check_license(). - Redistributing the unmodified package is permitted — mirrors, internal package indexes and container images are all fine. Whoever receives it still needs their own PSR licence to run it.
- Third-party components. Factory links a number of third-party libraries.
Their licences are reproduced in full in
THIRD_PARTY_NOTICES.txt, shipped besideLICENSE.txt. Nothing in the PSR Factory agreement limits any right you hold under those licences. - Bill of materials. A CycloneDX 1.6 and an SPDX 2.3 SBOM are published with every release.
Releases up to and including
5.0.0b152were published under the MIT licence and have been yanked from PyPI. If you pinned one of them, move to a current release. The MIT grant on a copy you already hold is not retroactively withdrawn, but no MIT-licensed build is supported or available going forward.
Licensing enquiries: psrfactory@psr-inc.com
Releases
New releases can be found in PyPI website at https://pypi.org/project/psr-factory.
And the release notes at https://psrenergy-docs.github.io/factory/releases.html.
Metadata
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| File | Interpreter | ABI | Platform | Reset |
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| psr_factory-5.0.0b170-py3-none-manylinux_2_17_x86_64.whl | Python 3 | none | Linux glibc 2.17+ x86-64 | Details |
Release files / psr_factory-5.0.0b170-py3-none-manylinux_2_17_x86_64.whl
| Download URL | psr_factory-5.0.0b170-py3-none-manylinux_2_17_x86_64.whl |
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