From 91ef84355e376cdeb9d80ba47f2468cf86740de9 Mon Sep 17 00:00:00 2001 From: kbonney Date: Thu, 16 Mar 2023 11:20:12 -0400 Subject: [PATCH 01/39] Updating contributing page and adding a few lines to gitignore --- .gitignore | 4 +- docs/pages/contributing.rst | 78 +++++++++++++++++++++++++++++++++---- 2 files changed, 73 insertions(+), 9 deletions(-) diff --git a/.gitignore b/.gitignore index 57dc97f..fb24101 100644 --- a/.gitignore +++ b/.gitignore @@ -12,4 +12,6 @@ pvops/.vscode/* pvops/text2time/.vscode .vscode/* .vscode/settings.json -.coverage \ No newline at end of file +.coverage +.eggs +*.egg-info \ No newline at end of file diff --git a/docs/pages/contributing.rst b/docs/pages/contributing.rst index df76837..c371cff 100644 --- a/docs/pages/contributing.rst +++ b/docs/pages/contributing.rst @@ -10,16 +10,78 @@ and test before submitting code. Checking that your PR passes the required testing and linting procedures will speed up the acceptance of your PR. -**If you find errors in the codebase:** +Issues and bug reporting +------------------------ -1. Submit an issue at the `pvops issues page `_ +To report issues or bugs please create a new issue on +the `pvops issues page `_. -**If you would like to contribute:** +Following these guidelines will help maintainers understand your issue, +reproduce the behavior, and develop a fix in an expedient fashion. +Before submitting your bug report, please perform a cursory search +to see if the problem has been already reported. If it has been reported, +and the issue is still open, add a comment to the existing issue instead of opening a new issue. -2. Create a pull request (PR) or help with other PRs which are in the library - by referencing `pvops PR page `_. - Pull requests should contain code that follows the PEP8 python code style. +Guidelines for effective bug reporting +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -**If you are confused:** +- Use a clear descriptive title for the issue. -3. Feel free to reach out to the package maintainer, found in ``setup.py``. +- Describe the steps to reproduce the problem, + the behavior you observed after following the steps, and the expected behavior. + +- If possible, provide a simple example of the bug using pvOps example data. + +- When relevant, provide information on your computing environment + (operating system, python version, pvOps version or commit). + +- For runtime errors, provide a function call stack. + +Contributing code +----------------- + +Software developers, within the core development team and external collaborators, +are expected to follow standard practices to document and test new code. +Software developers interested in contributing to the project are encouraged +to create a Fork of the project and submit a Pull Request (PR) using GitHub. +Pull requests will be reviewed by the core development team. +Create a PR or help with other PRs which are in the library +by referencing `pvops PR page `_. + +Guidelines for preparing and submitting pull-requests +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +- Use a clear descriptive title for your pull-requests + +- Describe if your submission is a bugfix, documentation update, or a feature + enhancement. Provide a concise description of your proposed changes. + +- Provide references to open issues, if applicable, to provide the necessary + context to understand your pull request + +- Make sure that your pull-request merges cleanly with the `master` branch of + pvOps. When working on a feature, always create your feature branch off of + the latest `master` commit + +- Ensure that appropriate documentation and tests accompany any added features. + + +Once a pull-request is submitted you will iterate with NuMAD maintainers +until your changes are in an acceptable state and can be merged in. You can push +addditional commits to the branch used to create the pull-request to reflect the +feedback from maintainers and users of the code. + +Questions and feature requests +-------------------------------- + +For any questions regarding pvOps or requests for additional features, +users may open an issue on the `pvops issues page `_ +or contact the package maintainer found in ``setup.py``. + +Guidelines for effective bug reporting +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +- Use a clear, descriptive title for the question or feature request. + +- If submitting a feature request, please provide context, examples, and + references when relevant. \ No newline at end of file From 710e67b9dc86b60e3bf19f2162e753dffc7141c9 Mon Sep 17 00:00:00 2001 From: kbonney Date: Thu, 16 Mar 2023 11:22:31 -0400 Subject: [PATCH 02/39] Small edit --- docs/pages/contributing.rst | 3 --- 1 file changed, 3 deletions(-) diff --git a/docs/pages/contributing.rst b/docs/pages/contributing.rst index c371cff..44b6d73 100644 --- a/docs/pages/contributing.rst +++ b/docs/pages/contributing.rst @@ -15,9 +15,6 @@ Issues and bug reporting To report issues or bugs please create a new issue on the `pvops issues page `_. - -Following these guidelines will help maintainers understand your issue, -reproduce the behavior, and develop a fix in an expedient fashion. Before submitting your bug report, please perform a cursory search to see if the problem has been already reported. If it has been reported, and the issue is still open, add a comment to the existing issue instead of opening a new issue. From 365a27fb3aa63cc84331a7e4ed6b92cae02947ab Mon Sep 17 00:00:00 2001 From: kbonney Date: Thu, 27 Apr 2023 15:27:58 -0400 Subject: [PATCH 03/39] adding files to paper folder for JOSS --- paper/paper.bib | 187 ++++++++++++++++++++++++++++++++++++++++++++++++ paper/paper.md | 81 +++++++++++++++++++++ 2 files changed, 268 insertions(+) create mode 100644 paper/paper.bib create mode 100644 paper/paper.md diff --git a/paper/paper.bib b/paper/paper.bib new file mode 100644 index 0000000..9d95227 --- /dev/null +++ b/paper/paper.bib @@ -0,0 +1,187 @@ +@techreport{deceglie2018rdtools, + title={RdTools: an open source python library for PV degradation analysis}, + author={Deceglie, Michael G and Jordan, Dirk and Nag, Ambarish and Deline, Christopher A and Shinn, Adam}, + year={2018}, + institution={National Renewable Energy Lab.(NREL), Golden, CO (United States)} +} + +@article{gunda2020machine, + title={A machine learning evaluation of maintenance records for common failure modes in PV inverters}, + author={Gunda, Thushara and Hackett, Sean and Kraus, Laura and Downs, Christopher and Jones, Ryan and McNalley, Christopher and Bolen, Michael and Walker, Andy}, + journal={IEEE Access}, + volume={8}, + pages={211610--211620}, + year={2020}, + doi={10.1109/ACCESS.2020.3039182}, + publisher={IEEE} +} + +@article{holmgren2018pvlib, + title={pvlib python: A python package for modeling solar energy systems}, + author={Holmgren, William F and Hansen, Clifford W and Mikofski, Mark A}, + journal={Journal of Open Source Software}, + volume={3}, + number={29}, + pages={884}, + doi={10.21105/joss.00884}, + year={2018} +} + +@article{hopwood2020neural, + title={Neural network-based classification of string-level IV curves from physically-induced failures of photovoltaic modules}, + author={Hopwood, Michael W and Gunda, Thushara and Seigneur, Hubert and Walters, Joseph}, + journal={IEEE Access}, + volume={8}, + pages={161480--161487}, + year={2020}, + doi={10.1109/ACCESS.2020.3021577}, + publisher={IEEE} +} + +@article{hopwood2022classification, + title={Classification of Photovoltaic Failures with Hidden Markov Modeling, an Unsupervised Statistical Approach}, + author={Hopwood, Michael W and Patel, Lekha and Gunda, Thushara}, + journal={Energies}, + volume={15}, + number={14}, + pages={5104}, + year={2022}, + doi={10.3390/en15145104}, + publisher={MDPI} +} + +@article{hopwood2022generation, + title={Generation of Data-Driven Expected Energy Models for Photovoltaic Systems}, + author={Hopwood, Michael W and Gunda, Thushara}, + journal={Applied Sciences}, + volume={12}, + number={4}, + pages={1872}, + year={2022}, + doi={10.3390/app12041872}, + publisher={MDPI} +} + +@article{hopwood2022physics, + title={Physics-Based Method for Generating Fully Synthetic IV Curve Training Datasets for Machine Learning Classification of PV Failures}, + author={Hopwood, Michael W and Stein, Joshua S and Braid, Jennifer L and Seigneur, Hubert P}, + journal={Energies}, + volume={15}, + number={14}, + pages={5085}, + year={2022}, + doi={10.3390/en15145085}, + publisher={MDPI} +} + +@inproceedings{mckinney2010data, + title={Data structures for statistical computing in python}, + author={McKinney, Wes and others}, + booktitle={Proceedings of the 9th Python in Science Conference}, + volume={445}, + number={1}, + pages={51--56}, + year={2010}, + doi={10.25080/Majora-92bf1922-00a}, + organization={Austin, TX} +} + +@inproceedings{mendoza2021pvops, + title={pvOps: Improving operational assessments through data fusion}, + author={Mendoza, Hector and Hopwood, Michael and Gunda, Thushara}, + booktitle={2021 IEEE 48th Photovoltaic Specialists Conference (PVSC)}, + pages={0112--0119}, + year={2021}, + doi={10.1109/PVSC43889.2021.9518439}, + organization={IEEE} +} + +@software{reback2020pandas, + author = {The pandas development team}, + title = {pandas-dev/pandas: Pandas}, + month = feb, + year = 2020, + publisher = {Zenodo}, + version = {latest}, + doi = {10.5281/zenodo.3509134}, + url = {https://doi.org/10.5281/zenodo.3509134} +} + + +@inproceedings{pierce2020identifying, + title={Identifying Degradation Modes of Photovoltaic Modules Using Unsupervised Machine Learning on Electroluminescense Images}, + author={Pierce, Benjamin G and Karimi, Ahmad Maroof and Liu, JiQi and French, Roger H and Braid, Jennifer L}, + booktitle={2020 47th IEEE Photovoltaic Specialists Conference (PVSC)}, + pages={1850--1855}, + year={2020}, + organization={IEEE}, + doi = {10.1109/PVSC45281.2020.9301021} +} + +@techreport{klise2016performance, + title={Performance Monitoring using Pecos (V. 0.1)}, + author={Klise, Katherine A and Stein, Joshua S}, + year={2016}, + institution={Sandia National Laboraties}, + doi = {10.2172/1734479} +} + +@online{plotly2015, + title = {Collaborative data science}, + author = {Plotly Technologies Inc.}, + year = {2015}, + publisher = {Plotly Technologies Inc.}, + address = {Montreal, QC}, + url = {https://plot.ly} +} + +@article{waskom2021seaborn, + title = {seaborn: statistical data visualization}, + author = {Michael L. Waskom}, + journal = {Journal of Open Source Software}, + year = {2021}, + doi = {10.21105/joss.03021}, + url = {https://doi.org/10.21105/joss.03021}, + publisher = {The Open Journal}, + volume = {6}, + number = {60}, + pages = {3021} +} + +@article{hunter2007matplotlib, + title = {Matplotlib: A 2D graphics environment}, + author = {Hunter, J. D.}, + year = 2007, + journal = {Computing in Science \& Engineering}, + volume = {9}, + number = {3}, + pages = {90--95}, + publisher = {IEEE COMPUTER SOC}, + doi = {10.1109/MCSE.2007.55} +} + +@book{bird2009nltk, + title = {Natural Language Processing with Python}, + author = {Steven Bird and Ewan Klein and Edward Loper}, + year = 2009, + publisher = {O'Reilly Media} +} + +@misc{chollet2015keras, + title={Keras}, + author={Chollet, Fran\c{c}ois and others}, + year={2015}, + howpublished={\url{https://keras.io}} +} + +@article{pedregosa2011sklearn, + title={Scikit-learn: Machine Learning in {P}ython}, + author={Pedregosa, F. and Varoquaux, G. and Gramfort, A. and Michel, V. + and Thirion, B. and Grisel, O. and Blondel, M. and Prettenhofer, P. + and Weiss, R. and Dubourg, V. and Vanderplas, J. and Passos, A. and + Cournapeau, D. and Brucher, M. and Perrot, M. and Duchesnay, E.}, + year={2011}, + journal={Journal of Machine Learning Research}, + volume={12}, + pages={2825--2830} +} \ No newline at end of file diff --git a/paper/paper.md b/paper/paper.md new file mode 100644 index 0000000..01f7cc4 --- /dev/null +++ b/paper/paper.md @@ -0,0 +1,81 @@ +--- +title: 'pvOps: a Python package for empirical analysis of photovoltaic field data' +tags: + - Python + - photovoltaic + - time series + - machine learning + - natural language processing +authors: + - name: Kirk L. Bonney + corresponding: true # (This is how to denote the corresponding author) + orcid: 0009-0006-2383-1634 + affiliation: 1 + - name: Thushara Gunda + orcid: 0000-0003-1945-4064 + affiliation: 1 + - name: Michael W. Hopwood + orcid: 0000-0001-6190-1767 + affiliation: 2 + - name: Hector Mendoza + orcid: 0009-0007-5812-606X + affiliation: 1 + - name: Nicole D. Jackson + orcid: 0000-0002-3814-9906 + affiliation: 1 +affiliations: + - name: Sandia National Laboratories, USA + index: 1 + - name: University of Central Florida, USA + index: 2 +date: 4 April 2023 +bibliography: paper.bib +--- + + + +[GitHub repository]: https://github.com/sandialabs/pvOps +[package documentation]: https://pvops.readthedocs.io/en/latest/ + +# Summary + +The purpose of `pvOps` is to support empirical evaluations of data collected in the field related to the operations and maintenance (O&M) of photovoltaic (PV) power plants. `pvOps` presently contains modules that address the diversity of field data, including text-based maintenance logs, current-voltage (IV) curves, and timeseries of production information. The package functions leverage machine learning, visualization, and other techniques to enable cleaning, processing, and fusion of these datasets. These capabilities are intended to facilitate easier evaluation of field patterns and extraction of relevant insights to support reliability-related decision-making for PV sites. The open-source code, examples, and instructions for installing the package through PyPI can be accessed through the [GitHub repository]. + +# Statement of Need + +Continued interest in PV deployment across the world has resulted in increased awareness of needs associated with managing reliability and performance of these systems during operation. Current open-source packages for PV analysis focus on theoretical evaluations of solar power simulations (e.g., `pvlib`; [@holmgren2018pvlib]), specific use cases of empirical evaluations (e.g., `RdTools`;[@deceglie2018rdtools] and `Pecos`;[@klise2016performance] for degradation analysis), or analysis of electroluminescene images (e.g., `PVimage`; [@pierce2020identifying]). However, a general package that can support data-driven, exploratory evaluations of diverse field collected information is currently lacking. To address this gap, we present `pvOps`, an open-source, Python package that can be used by researchers and industry analysts alike to evaluate different types of data routinely collected during PV field operations. + +PV data collected in the field varies greatly in structure (i.e., timeseries and text records) and quality (i.e., completeness and consistency). The data available for analysis is frequently semi-structured. Furthermore, the level of detail collected between different owners/operators might vary. For example, some may capture a general start and end time for an associated event whereas others might include additional time details for different resolution activities. This diversity in data types and structures often leads to data being under-utilized due to the amount of manual processing required. To address these issues, `pvOps` provides a suite of data processing, cleaning, and visualization methods to leverage insights across a broad range of data types, including operations and maintenance records, production timeseries, and IV curves. The functions within `pvOps` enable users to better parse available data to understand patterns in outages and production losses. + +# Package Overview +The following table summarizes the four modules within `pvOps` by presenting: the type of data they analyze, example data features, and highlights of relevant functions. + +Module | Type of data | Example data features | Highlights of functions +------- | ------ | --------- | ----------- +text | O&M records | - start and end timestamps: string or datetime
- issue description: string (unstructured)
- classification: string (structured) | - fill data gaps in dates and categorical records
- visualize word clusters and patterns over time +timeseries | Production data | - site: integer or string
- timestamp: string or datetime
- power production: numeric
- irradiance: numeric | - estimate expected energy with multiple models
- evaluate inverter clipping +text2time | O&M records and
production data | see entries for `text` and
`timeseries` modules above | - analyze overlaps between O&M and production (timeseries) records
- visualize overlaps between O&M records and production data +iv | IV records | - current: 1D array
- voltage: 1D array
- irradiance: numeric
- temperature: numeric | - simulate IV curves with physical faults
- extract diode parameters from IV curves
- classify faults using IV curves + +The functions within each module can be used to build pipelines that integrate relevant data processing, fusion, and visualization capabilities to support user endgoals. For example, a user with IV curve data could build a pipeline that leverages functions within the `iv` module to process and extract diode parameters within IV curves as well as train models to support classifications based on fault type. A pipeline could be also be built that leverages functions across modules if a user has access to multiple types of data (e.g., both O&M and production records). A sample end-to-end workflow using `pvOps` modules could be: +1. Use functions within the `text` module to systematically review data quality issues within O&M records, train a machine learning model on available records, and use the model to estimate possible labels for missing entries +2. Leverage the functions within the `timeseries` module, use machine learning to develop their own expected energy models for a given time series of irradiance and system size details, or use a pre-trained expected energy model [@hopwood2022generation] or leverage industry standard equations as a basis for evaluating possible production losses +3. Couple outputs from the above two analyses (using functions in the `text2time` module) based on timestamps to develop summaries and visualizations of production impacts observed during these periods + +The [package documentation] for `pvOps` provides thorough examples exploring the various capabilities of each module. Additional details about the `iv` module capabilities, are captured in [@hopwood2020neural; @hopwood2022physics] while more information about the design and development of the `text`, `timeseries`, and `text2time` modules are captured in [@mendoza2021pvops]. Key package dependencies of `pvOps` include `pandas` [@reback2020pandas], `sklearn` [@pedregosa2011sklearn], `nltk` [@bird2009nltk], and `keras` [@chollet2015keras] for analysis and `matplotlib` [@hunter2007matplotlib], `seaborn` [@waskom2021seaborn], and `plotly` [@plotly2015] for visualization. + +# Ongoing Development +The `pvOps` functionality and documentation continues to be improved and updated as new empirical techniques are identified. For example, research efforts have demonstrated utility of natural language processing techniques (e.g., topic modeling) and survival analyses to support evaluation of patterns in O&M records [@gunda2020machine]. Additional statistical methods, such as Hidden Markov Modeling, have also been successfully used to support classification of failures within production data [@hopwood2022classification]. These and other capabilities will continue to be added to the package to improve its utility for supporting empirical analyses of field data. + +# CRediT Authorship Statement + + + +KLB: Writing - Original Draft; TG: Conceptualization, Writing - Original Draft; MWH: Writing - Review & Editing; HM: Writing - Review & Editing; NDJ: Conceptualization, Funding Acquisition, Project Administration, Supervision, Writing - review & editing. + +# Acknowledgements +This material is supported by the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy - Solar Energy Technologies Office. Sandia National Laboratories, a multimission laboratory managed and operated by National Technology and Engineering Solutions of Sandia LLC, a wholly owned subsidiary of Honeywell International Inc. for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525. + +# References + + \ No newline at end of file From caeb65951add44a123b4d8df11444dfa9887078a Mon Sep 17 00:00:00 2001 From: kbonney Date: Thu, 27 Apr 2023 15:29:12 -0400 Subject: [PATCH 04/39] Adding joss workflow --- .github/workflows/draft-pdf.yml | 23 +++++++++++++++++++++++ 1 file changed, 23 insertions(+) create mode 100644 .github/workflows/draft-pdf.yml diff --git a/.github/workflows/draft-pdf.yml b/.github/workflows/draft-pdf.yml new file mode 100644 index 0000000..b88bed1 --- /dev/null +++ b/.github/workflows/draft-pdf.yml @@ -0,0 +1,23 @@ +on: [push] + +jobs: + paper: + runs-on: ubuntu-latest + name: Paper Draft + steps: + - name: Checkout + uses: actions/checkout@v3 + - name: Build draft PDF + uses: openjournals/openjournals-draft-action@master + with: + journal: joss + # This should be the path to the paper within your repo. + paper-path: paper/paper.md + - name: Upload + uses: actions/upload-artifact@v1 + with: + name: paper + # This is the output path where Pandoc will write the compiled + # PDF. Note, this should be the same directory as the input + # paper.md + path: paper.pdf \ No newline at end of file From a09cdb3fbcca968dae4164a6dda67bce2014a150 Mon Sep 17 00:00:00 2001 From: kbonney Date: Thu, 27 Apr 2023 15:34:39 -0400 Subject: [PATCH 05/39] Making adjustments to get joss workflow to run --- .github/workflows/draft-pdf.yml | 2 +- paper/paper.bib => paper.bib | 0 paper/paper.md => paper.md | 0 3 files changed, 1 insertion(+), 1 deletion(-) rename paper/paper.bib => paper.bib (100%) rename paper/paper.md => paper.md (100%) diff --git a/.github/workflows/draft-pdf.yml b/.github/workflows/draft-pdf.yml index b88bed1..623b369 100644 --- a/.github/workflows/draft-pdf.yml +++ b/.github/workflows/draft-pdf.yml @@ -12,7 +12,7 @@ jobs: with: journal: joss # This should be the path to the paper within your repo. - paper-path: paper/paper.md + paper-path: paper.md - name: Upload uses: actions/upload-artifact@v1 with: diff --git a/paper/paper.bib b/paper.bib similarity index 100% rename from paper/paper.bib rename to paper.bib diff --git a/paper/paper.md b/paper.md similarity index 100% rename from paper/paper.md rename to paper.md From bff0bc24c0e874cb58309a87605c798f35d57034 Mon Sep 17 00:00:00 2001 From: kbonney Date: Thu, 27 Apr 2023 15:52:41 -0400 Subject: [PATCH 06/39] Minor updates to bib formatting and spacing in paper --- paper.bib | 4 ++-- paper.md | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/paper.bib b/paper.bib index 9d95227..f60821f 100644 --- a/paper.bib +++ b/paper.bib @@ -97,7 +97,7 @@ @inproceedings{mendoza2021pvops } @software{reback2020pandas, - author = {The pandas development team}, + author = {{The pandas development team}}, title = {pandas-dev/pandas: Pandas}, month = feb, year = 2020, @@ -128,7 +128,7 @@ @techreport{klise2016performance @online{plotly2015, title = {Collaborative data science}, - author = {Plotly Technologies Inc.}, + author = {{Plotly Technologies Inc.}}, year = {2015}, publisher = {Plotly Technologies Inc.}, address = {Montreal, QC}, diff --git a/paper.md b/paper.md index 01f7cc4..9cf796e 100644 --- a/paper.md +++ b/paper.md @@ -43,7 +43,7 @@ The purpose of `pvOps` is to support empirical evaluations of data collected in # Statement of Need -Continued interest in PV deployment across the world has resulted in increased awareness of needs associated with managing reliability and performance of these systems during operation. Current open-source packages for PV analysis focus on theoretical evaluations of solar power simulations (e.g., `pvlib`; [@holmgren2018pvlib]), specific use cases of empirical evaluations (e.g., `RdTools`;[@deceglie2018rdtools] and `Pecos`;[@klise2016performance] for degradation analysis), or analysis of electroluminescene images (e.g., `PVimage`; [@pierce2020identifying]). However, a general package that can support data-driven, exploratory evaluations of diverse field collected information is currently lacking. To address this gap, we present `pvOps`, an open-source, Python package that can be used by researchers and industry analysts alike to evaluate different types of data routinely collected during PV field operations. +Continued interest in PV deployment across the world has resulted in increased awareness of needs associated with managing reliability and performance of these systems during operation. Current open-source packages for PV analysis focus on theoretical evaluations of solar power simulations (e.g., `pvlib`; [@holmgren2018pvlib]), specific use cases of empirical evaluations (e.g., `RdTools`; [@deceglie2018rdtools] and `Pecos`; [@klise2016performance] for degradation analysis), or analysis of electroluminescene images (e.g., `PVimage`; [@pierce2020identifying]). However, a general package that can support data-driven, exploratory evaluations of diverse field collected information is currently lacking. To address this gap, we present `pvOps`, an open-source, Python package that can be used by researchers and industry analysts alike to evaluate different types of data routinely collected during PV field operations. PV data collected in the field varies greatly in structure (i.e., timeseries and text records) and quality (i.e., completeness and consistency). The data available for analysis is frequently semi-structured. Furthermore, the level of detail collected between different owners/operators might vary. For example, some may capture a general start and end time for an associated event whereas others might include additional time details for different resolution activities. This diversity in data types and structures often leads to data being under-utilized due to the amount of manual processing required. To address these issues, `pvOps` provides a suite of data processing, cleaning, and visualization methods to leverage insights across a broad range of data types, including operations and maintenance records, production timeseries, and IV curves. The functions within `pvOps` enable users to better parse available data to understand patterns in outages and production losses. From bb9ce4a788b8ae75526bd9f3955792c544ecd6c2 Mon Sep 17 00:00:00 2001 From: kbonney Date: Fri, 28 Apr 2023 14:00:07 -0400 Subject: [PATCH 07/39] Attempt at fixing table newlines --- paper.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/paper.md b/paper.md index 9cf796e..3984646 100644 --- a/paper.md +++ b/paper.md @@ -52,10 +52,10 @@ The following table summarizes the four modules within `pvOps` by presenting: th Module | Type of data | Example data features | Highlights of functions ------- | ------ | --------- | ----------- -text | O&M records | - start and end timestamps: string or datetime
- issue description: string (unstructured)
- classification: string (structured) | - fill data gaps in dates and categorical records
- visualize word clusters and patterns over time -timeseries | Production data | - site: integer or string
- timestamp: string or datetime
- power production: numeric
- irradiance: numeric | - estimate expected energy with multiple models
- evaluate inverter clipping -text2time | O&M records and
production data | see entries for `text` and
`timeseries` modules above | - analyze overlaps between O&M and production (timeseries) records
- visualize overlaps between O&M records and production data -iv | IV records | - current: 1D array
- voltage: 1D array
- irradiance: numeric
- temperature: numeric | - simulate IV curves with physical faults
- extract diode parameters from IV curves
- classify faults using IV curves +text | O&M records | - start and end timestamps: string or datetime
- issue description: string (unstructured)
- classification: string (structured) | - fill data gaps in dates and categorical records
- visualize word clusters and patterns over time +timeseries | Production data | - site: integer or string
- timestamp: string or datetime
- power production: numeric
- irradiance: numeric | - estimate expected energy with multiple models
- evaluate inverter clipping +text2time | O&M records and
production data | see entries for `text` and
`timeseries` modules above | - analyze overlaps between O&M and production (timeseries) records
- visualize overlaps between O&M records and production data +iv | IV records | - current: 1D array
- voltage: 1D array
- irradiance: numeric
- temperature: numeric | - simulate IV curves with physical faults
- extract diode parameters from IV curves
- classify faults using IV curves The functions within each module can be used to build pipelines that integrate relevant data processing, fusion, and visualization capabilities to support user endgoals. For example, a user with IV curve data could build a pipeline that leverages functions within the `iv` module to process and extract diode parameters within IV curves as well as train models to support classifications based on fault type. A pipeline could be also be built that leverages functions across modules if a user has access to multiple types of data (e.g., both O&M and production records). A sample end-to-end workflow using `pvOps` modules could be: 1. Use functions within the `text` module to systematically review data quality issues within O&M records, train a machine learning model on available records, and use the model to estimate possible labels for missing entries From ca85ca459a4e5b979e31855e198ed114f2d45837 Mon Sep 17 00:00:00 2001 From: kbonney Date: Fri, 28 Apr 2023 14:03:47 -0400 Subject: [PATCH 08/39] Another attempt --- paper.md | 27 +++++++++++++++++++++++---- 1 file changed, 23 insertions(+), 4 deletions(-) diff --git a/paper.md b/paper.md index 3984646..8c40236 100644 --- a/paper.md +++ b/paper.md @@ -52,10 +52,29 @@ The following table summarizes the four modules within `pvOps` by presenting: th Module | Type of data | Example data features | Highlights of functions ------- | ------ | --------- | ----------- -text | O&M records | - start and end timestamps: string or datetime
- issue description: string (unstructured)
- classification: string (structured) | - fill data gaps in dates and categorical records
- visualize word clusters and patterns over time -timeseries | Production data | - site: integer or string
- timestamp: string or datetime
- power production: numeric
- irradiance: numeric | - estimate expected energy with multiple models
- evaluate inverter clipping -text2time | O&M records and
production data | see entries for `text` and
`timeseries` modules above | - analyze overlaps between O&M and production (timeseries) records
- visualize overlaps between O&M records and production data -iv | IV records | - current: 1D array
- voltage: 1D array
- irradiance: numeric
- temperature: numeric | - simulate IV curves with physical faults
- extract diode parameters from IV curves
- classify faults using IV curves +text | O&M records | - start and end timestamps: string or datetime
+- issue description: string (unstructured)
+- classification: string (structured) | +- fill data gaps in dates and categorical records
+- visualize word clusters and patterns over time +timeseries | Production data | +- site: integer or string
+- timestamp: string or datetime
+- power production: numeric
+- irradiance: numeric | +- estimate expected energy with multiple models
+- evaluate inverter clipping +text2time | O&M records and
production data | see entries for `text` and
`timeseries` modules above | +- analyze overlaps between O&M and production (timeseries) records
+- visualize overlaps between O&M records and production data +iv | IV records | +- current: 1D array
+- voltage: 1D array
+- irradiance: numeric
+- temperature: numeric | +- simulate IV curves with physical faults
+- extract diode parameters from IV curves
+- classify faults using IV curves The functions within each module can be used to build pipelines that integrate relevant data processing, fusion, and visualization capabilities to support user endgoals. For example, a user with IV curve data could build a pipeline that leverages functions within the `iv` module to process and extract diode parameters within IV curves as well as train models to support classifications based on fault type. A pipeline could be also be built that leverages functions across modules if a user has access to multiple types of data (e.g., both O&M and production records). A sample end-to-end workflow using `pvOps` modules could be: 1. Use functions within the `text` module to systematically review data quality issues within O&M records, train a machine learning model on available records, and use the model to estimate possible labels for missing entries From ae6ae5bd4b9346b1280f2b3e87c934025a83029c Mon Sep 17 00:00:00 2001 From: kbonney Date: Fri, 28 Apr 2023 14:07:09 -0400 Subject: [PATCH 09/39] Attempt 3 --- paper.md | 27 ++++----------------------- 1 file changed, 4 insertions(+), 23 deletions(-) diff --git a/paper.md b/paper.md index 8c40236..74c010b 100644 --- a/paper.md +++ b/paper.md @@ -52,29 +52,10 @@ The following table summarizes the four modules within `pvOps` by presenting: th Module | Type of data | Example data features | Highlights of functions ------- | ------ | --------- | ----------- -text | O&M records | - start and end timestamps: string or datetime
-- issue description: string (unstructured)
-- classification: string (structured) | -- fill data gaps in dates and categorical records
-- visualize word clusters and patterns over time -timeseries | Production data | -- site: integer or string
-- timestamp: string or datetime
-- power production: numeric
-- irradiance: numeric | -- estimate expected energy with multiple models
-- evaluate inverter clipping -text2time | O&M records and
production data | see entries for `text` and
`timeseries` modules above | -- analyze overlaps between O&M and production (timeseries) records
-- visualize overlaps between O&M records and production data -iv | IV records | -- current: 1D array
-- voltage: 1D array
-- irradiance: numeric
-- temperature: numeric | -- simulate IV curves with physical faults
-- extract diode parameters from IV curves
-- classify faults using IV curves +text | O&M records | - start and end timestamps: string or datetime
- issue description: string (unstructured)
- classification: string (structured) | - fill data gaps in dates and categorical records
- visualize word clusters and patterns over time +timeseries | Production data | - site: integer or string

- timestamp: string or datetime
- power production: numeric
- irradiance: numeric | - estimate expected energy with multiple models
- evaluate inverter clipping +text2time | O&M records and
production data | see entries for `text` and
`timeseries` modules above | - analyze overlaps between O&M and production (timeseries) records
- visualize overlaps between O&M records and production data +iv | IV records | - current: 1D array
- voltage: 1D array
- irradiance: numeric
- temperature: numeric | - simulate IV curves with physical faults
- extract diode parameters from IV curves
- classify faults using IV curves The functions within each module can be used to build pipelines that integrate relevant data processing, fusion, and visualization capabilities to support user endgoals. For example, a user with IV curve data could build a pipeline that leverages functions within the `iv` module to process and extract diode parameters within IV curves as well as train models to support classifications based on fault type. A pipeline could be also be built that leverages functions across modules if a user has access to multiple types of data (e.g., both O&M and production records). A sample end-to-end workflow using `pvOps` modules could be: 1. Use functions within the `text` module to systematically review data quality issues within O&M records, train a machine learning model on available records, and use the model to estimate possible labels for missing entries From f482fb66c7bb536e47ff4e37a031ee4bc9f08ccc Mon Sep 17 00:00:00 2001 From: kbonney Date: Fri, 28 Apr 2023 14:31:59 -0400 Subject: [PATCH 10/39] Now we are on track --- paper.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/paper.md b/paper.md index 74c010b..7d9d1e9 100644 --- a/paper.md +++ b/paper.md @@ -52,10 +52,10 @@ The following table summarizes the four modules within `pvOps` by presenting: th Module | Type of data | Example data features | Highlights of functions ------- | ------ | --------- | ----------- -text | O&M records | - start and end timestamps: string or datetime
- issue description: string (unstructured)
- classification: string (structured) | - fill data gaps in dates and categorical records
- visualize word clusters and patterns over time -timeseries | Production data | - site: integer or string

- timestamp: string or datetime
- power production: numeric
- irradiance: numeric | - estimate expected energy with multiple models
- evaluate inverter clipping -text2time | O&M records and
production data | see entries for `text` and
`timeseries` modules above | - analyze overlaps between O&M and production (timeseries) records
- visualize overlaps between O&M records and production data -iv | IV records | - current: 1D array
- voltage: 1D array
- irradiance: numeric
- temperature: numeric | - simulate IV curves with physical faults
- extract diode parameters from IV curves
- classify faults using IV curves +text | O&M records | - timestamps: string or datetime

- issue description: string (unstructured)

- classification: string (structured) | - fill data gaps in dates and categorical records

- visualize word clusters and patterns over time +timeseries | Production data | - site: integer or string

- timestamp: string or datetime

- power production: numeric

- irradiance: numeric | - estimate expected energy with multiple models

- evaluate inverter clipping +text2time | O&M records and

production data | see entries for `text` and

`timeseries` modules above | - analyze overlaps between O&M and production (timeseries) records

- visualize overlaps between O&M records and production data +iv | IV records | - current: 1D array

- voltage: 1D array

- irradiance: numeric

- temperature: numeric | - simulate IV curves with physical faults

- extract diode parameters from IV curves

- classify faults using IV curves The functions within each module can be used to build pipelines that integrate relevant data processing, fusion, and visualization capabilities to support user endgoals. For example, a user with IV curve data could build a pipeline that leverages functions within the `iv` module to process and extract diode parameters within IV curves as well as train models to support classifications based on fault type. A pipeline could be also be built that leverages functions across modules if a user has access to multiple types of data (e.g., both O&M and production records). A sample end-to-end workflow using `pvOps` modules could be: 1. Use functions within the `text` module to systematically review data quality issues within O&M records, train a machine learning model on available records, and use the model to estimate possible labels for missing entries From 328a6c527b5dad87e1cdf8aefb3593692d7e3f93 Mon Sep 17 00:00:00 2001 From: kbonney Date: Fri, 28 Apr 2023 14:40:59 -0400 Subject: [PATCH 11/39] Trying html unordered lists --- paper.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/paper.md b/paper.md index 7d9d1e9..9939168 100644 --- a/paper.md +++ b/paper.md @@ -52,7 +52,7 @@ The following table summarizes the four modules within `pvOps` by presenting: th Module | Type of data | Example data features | Highlights of functions ------- | ------ | --------- | ----------- -text | O&M records | - timestamps: string or datetime

- issue description: string (unstructured)

- classification: string (structured) | - fill data gaps in dates and categorical records

- visualize word clusters and patterns over time +text | O&M records |
  • timestamps: string or datetime
  • issue description: string (unstructured)
  • classification: string (structured)
| - fill data gaps in dates and categorical records

- visualize word clusters and patterns over time timeseries | Production data | - site: integer or string

- timestamp: string or datetime

- power production: numeric

- irradiance: numeric | - estimate expected energy with multiple models

- evaluate inverter clipping text2time | O&M records and

production data | see entries for `text` and

`timeseries` modules above | - analyze overlaps between O&M and production (timeseries) records

- visualize overlaps between O&M records and production data iv | IV records | - current: 1D array

- voltage: 1D array

- irradiance: numeric

- temperature: numeric | - simulate IV curves with physical faults

- extract diode parameters from IV curves

- classify faults using IV curves From 5a0a0fbac0e2c7d05c03c133ab38531e25748ae8 Mon Sep 17 00:00:00 2001 From: kbonney Date: Wed, 3 May 2023 09:59:00 -0400 Subject: [PATCH 12/39] testing a new table format --- paper.md | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/paper.md b/paper.md index 9939168..cbc6457 100644 --- a/paper.md +++ b/paper.md @@ -39,6 +39,13 @@ bibliography: paper.bib # Summary +| Tables | Are | Cool | +| ------------- |:-------------:| -----:| +| col 3 is | right-aligned | $1600 | +| col 2 is | centered | $12 | +| zebra stripes | are neat | $1 | +|
  • item1
  • item2
| See the list | from the first column| + The purpose of `pvOps` is to support empirical evaluations of data collected in the field related to the operations and maintenance (O&M) of photovoltaic (PV) power plants. `pvOps` presently contains modules that address the diversity of field data, including text-based maintenance logs, current-voltage (IV) curves, and timeseries of production information. The package functions leverage machine learning, visualization, and other techniques to enable cleaning, processing, and fusion of these datasets. These capabilities are intended to facilitate easier evaluation of field patterns and extraction of relevant insights to support reliability-related decision-making for PV sites. The open-source code, examples, and instructions for installing the package through PyPI can be accessed through the [GitHub repository]. # Statement of Need From 0e96e8e144e3fbe61dd3a4617547f07f02d9d4f5 Mon Sep 17 00:00:00 2001 From: kbonney Date: Wed, 3 May 2023 10:10:32 -0400 Subject: [PATCH 13/39] try again --- paper.md | 37 +++++++++++++++++++++++++++++++++++++ 1 file changed, 37 insertions(+) diff --git a/paper.md b/paper.md index cbc6457..5c05e1c 100644 --- a/paper.md +++ b/paper.md @@ -46,6 +46,43 @@ bibliography: paper.bib | zebra stripes | are neat | $1 | |
  • item1
  • item2
| See the list | from the first column| +attempt 2 + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
TablesAreCool
col 3 isright-aligned$1600
col 2 iscentered$12
zebra stripesare neat$1
+
    +
  • item1
    • +
  • item2
    • +
+ 		See the listfrom the first column
+ The purpose of `pvOps` is to support empirical evaluations of data collected in the field related to the operations and maintenance (O&M) of photovoltaic (PV) power plants. `pvOps` presently contains modules that address the diversity of field data, including text-based maintenance logs, current-voltage (IV) curves, and timeseries of production information. The package functions leverage machine learning, visualization, and other techniques to enable cleaning, processing, and fusion of these datasets. These capabilities are intended to facilitate easier evaluation of field patterns and extraction of relevant insights to support reliability-related decision-making for PV sites. The open-source code, examples, and instructions for installing the package through PyPI can be accessed through the [GitHub repository]. # Statement of Need From f9c8be6c5d4920468f9af24be89cee835f0393bf Mon Sep 17 00:00:00 2001 From: kbonney Date: Wed, 3 May 2023 10:30:47 -0400 Subject: [PATCH 14/39] attempting a picture approach --- paper.md | 56 +++++++----------------------------------------------- table.png | Bin 0 -> 136929 bytes 2 files changed, 7 insertions(+), 49 deletions(-) create mode 100644 table.png diff --git a/paper.md b/paper.md index 5c05e1c..6275300 100644 --- a/paper.md +++ b/paper.md @@ -39,50 +39,6 @@ bibliography: paper.bib # Summary -| Tables | Are | Cool | -| ------------- |:-------------:| -----:| -| col 3 is | right-aligned | $1600 | -| col 2 is | centered | $12 | -| zebra stripes | are neat | $1 | -|
  • item1
  • item2
| See the list | from the first column| - -attempt 2 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
TablesAreCool
col 3 isright-aligned$1600
col 2 iscentered$12
zebra stripesare neat$1
-
    -
  • item1
    • -
  • item2
    • -
- 		See the listfrom the first column
- The purpose of `pvOps` is to support empirical evaluations of data collected in the field related to the operations and maintenance (O&M) of photovoltaic (PV) power plants. `pvOps` presently contains modules that address the diversity of field data, including text-based maintenance logs, current-voltage (IV) curves, and timeseries of production information. The package functions leverage machine learning, visualization, and other techniques to enable cleaning, processing, and fusion of these datasets. These capabilities are intended to facilitate easier evaluation of field patterns and extraction of relevant insights to support reliability-related decision-making for PV sites. The open-source code, examples, and instructions for installing the package through PyPI can be accessed through the [GitHub repository]. # Statement of Need @@ -94,12 +50,14 @@ PV data collected in the field varies greatly in structure (i.e., timeseries and # Package Overview The following table summarizes the four modules within `pvOps` by presenting: the type of data they analyze, example data features, and highlights of relevant functions. -Module | Type of data | Example data features | Highlights of functions + + +![table](table.png) The functions within each module can be used to build pipelines that integrate relevant data processing, fusion, and visualization capabilities to support user endgoals. For example, a user with IV curve data could build a pipeline that leverages functions within the `iv` module to process and extract diode parameters within IV curves as well as train models to support classifications based on fault type. A pipeline could be also be built that leverages functions across modules if a user has access to multiple types of data (e.g., both O&M and production records). A sample end-to-end workflow using `pvOps` modules could be: 1. 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zB4>#@NyNS~7MQ|NJK{N+^u`n{OfgV{!Jv(&q8D(HodTwgdbg_KDC&$xP8MQqJ5(cQt#LA(#s#uNXF_Z(q&qhIbf8iodo{H^n(H>EHB@% zB6bwLp4`jQSA)>e=IL`iNvizZA{lVhw7V4(4E4^6BU`Rp1Wzn&v1YAYy}A&|Ru2{n zQU%=NJK!ZaGiCl6c>VF4eJmS>dHDMH5TDgC)P38*<~s=WDy9XO5py7kGBT90k-Iuk zotUAb%wWUeqZi%1sGmSy!Y=n-?qkXECKFL5x&{x3j6UFlqOVz?v|V{^9v`X*&>3n% zkuwG9&v>LV*>P@HozC968#Hsq41H(?q*&+GOC*{cB4@gRa^N;>T@+Y$@XvTLTOj&E z@Q?;*m`F{M8s{mqPX9*+G%)SI7*MG&pra+v2GbE00DXakmLY{+yTyN|KqxzP1`q!J zefOnydb{u%t+$HatYzkytH=GqZB{b=p~7IRAK;%6Xf#4B!b`re(mnxO6%-XQ0IDxD z3Q?YP+F6yNOI{qF8Vilshm-8)ObziFvK*e2bIZHu^p*Fr7G2gboozFVJqB;Vyd>Sw ziA@<;h^ECd>dO?1KTR0_JfL@I-SqqOZ=l@>{!?1@?bAnFUuEOLn7d8g&h`A9+ujB^ zMRbvtaau8L=KD`Azw~X3_PbcVr1d-dz^~sN!z?0F{L|wv=?vL^37zHiuj6DZU2@n- zTUQ$i3(A1x_+{>bASo$N5XoYJrv&Lq_@_lkGyZ8o%AqVo^3Cm-zp{q#?f*IrM!F6=IMa^p|yx>Nc5`M>}Fm^%8u|4Q%c8U+4yUKr*P S)k%T>n2eb?`us@SP5&2w4MPV2 literal 0 HcmV?d00001 From b016eb25db78764cad377c02bb16d7f2da9d4d41 Mon Sep 17 00:00:00 2001 From: Kirk Bonney <47759761+kbonney@users.noreply.github.com> Date: Tue, 13 Jun 2023 10:04:58 -0400 Subject: [PATCH 15/39] Adding JOSS status --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 04530fa..5b0fdd9 100644 --- a/README.md +++ b/README.md @@ -4,6 +4,7 @@ [![License](https://img.shields.io/pypi/l/pvOps?color=green)](https://github.com/sandialabs/pvOps/blob/master/LICENSE) [![ActionStatus](https://github.com/sandialabs/pvOps/workflows/lint%20and%20test/badge.svg)](https://github.com/sandialabs/pvOps/actions) [![DOI](https://zenodo.org/badge/289032705.svg)](https://zenodo.org/badge/latestdoi/289032705) +[![status](https://joss.theoj.org/papers/6c3554c98b1771125613cff94241847c/status.svg)](https://joss.theoj.org/papers/6c3554c98b1771125613cff94241847c) pvops contains a series of functions to facilitate fusion of text-based data with time series production data collected at photovoltaic sites. The package also contains example datasets and tutorials to help demonstrate how the functions can be used. From cb0243e4a171513e0ee9c743ff93d75c12c08a99 Mon Sep 17 00:00:00 2001 From: Kirk Bonney <47759761+kbonney@users.noreply.github.com> Date: Fri, 23 Jun 2023 16:11:54 -0400 Subject: [PATCH 16/39] Updating python setup action in testing workflow --- .github/workflows/lint-and-test.yml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.github/workflows/lint-and-test.yml b/.github/workflows/lint-and-test.yml index 4ee194d..56248fe 100644 --- a/.github/workflows/lint-and-test.yml +++ b/.github/workflows/lint-and-test.yml @@ -19,7 +19,7 @@ jobs: steps: - uses: actions/checkout@v2 - name: Set up Python ${{ matrix.python-version }} - uses: actions/setup-python@v1 + uses: actions/setup-python@v4 with: python-version: ${{ matrix.python-version }} - name: Install dependencies in ${{ matrix.requirements }} @@ -42,7 +42,7 @@ jobs: steps: - uses: actions/checkout@v2 - name: Set up Python ${{ matrix.python-version }} - uses: actions/setup-python@v1 + uses: actions/setup-python@v4 with: python-version: ${{ matrix.python-version }} - name: Install dependencies From a4de9a4722e384850d584d52917363fd535bdd6a Mon Sep 17 00:00:00 2001 From: charity-kwha <63606177+charity-kwha@users.noreply.github.com> Date: Fri, 7 Jul 2023 09:24:17 -0700 Subject: [PATCH 17/39] Keyword search in text from reference dictionary (#46) * init file and pull sample data * add helper functions and reference dict * clean up text, tokenize, add new labels from regex function * move example into its own file, seperate out functions to use * clean functions and make generic names * clean up example * move reference dict to example_data * remove pdb * move dict out of functions file * missed import * add metrics to measure accuracy * rename other category to unknown for fair comparison * move keyword search to preprocess step, util * move add label fucntion to classify * fix imports, add comment for viz * remove temp file * change arg to dict * add keyword util * update formating * whitespace * update args to match * remove whitespace * function rename * clean up dict * add sample data * update docstring and change col dict name * clean up and use sample data in examples * add plot function * add in visualization function for confusion matrix * add more detail to dox string * clean up function to expect predicted_col * clean up example * remove whitespace * change col name from new to predicted * clean up sample data * add notebook example * add functionality to replace text in preprocessing * add text replacement step * linter * remove example .py file in favor of jupyter notebook * remove reference dict * add new csv mapping rfiles * add csv * update jupyternotebook example * use df instead of dict * remove dict * remove unused imports and functions * update jupyter notebook and remove module * remove plot * update docstrings * linter * remove whitespace --- examples/example_data/mappings_equipment.csv | 25 +++ examples/example_data/mappings_pv_terms.csv | 20 ++ ...tutorial_text_classify_regex_example.ipynb | 187 ++++++++++++++++++ pvops/text/classify.py | 51 +++++ pvops/text/preprocess.py | 44 +++++ pvops/text/utils.py | 49 +++++ pvops/text/visualize.py | 44 +++++ 7 files changed, 420 insertions(+) create mode 100644 examples/example_data/mappings_equipment.csv create mode 100644 examples/example_data/mappings_pv_terms.csv create mode 100644 examples/tutorial_text_classify_regex_example.ipynb diff --git a/examples/example_data/mappings_equipment.csv b/examples/example_data/mappings_equipment.csv new file mode 100644 index 0000000..caed027 --- /dev/null +++ b/examples/example_data/mappings_equipment.csv @@ -0,0 +1,25 @@ +in,out_ +combiner,combiner +comb,combiner +cb,combiner +battery,battery +bess,battery +inverter,inverter +invert,inverter +inv,inverter +met,met +meter,meter +module,module +mod,module +recloser,recloser +reclose,recloser +relay,relay +substation,substation +switchgear,switchgear +switch,switchgear +tracker,tracker +transformer,transformer +xfmr,transformer +wiring,wiring +wire,wiring +wires,wiring \ No newline at end of file diff --git a/examples/example_data/mappings_pv_terms.csv b/examples/example_data/mappings_pv_terms.csv new file mode 100644 index 0000000..79acb06 --- /dev/null +++ b/examples/example_data/mappings_pv_terms.csv @@ -0,0 +1,20 @@ +in,out_ +comm,communication +energy,energy +kwh,energy +mwh,energy +grid,grid +curtailment,grid +curtail,grid +poi,grid +offline,outage +solar,solar +pv,solar +photovoltaic,solar +system,system +site,system +farm,system +project,system +sma,make_model +cm,corrective_maintence +pm,preventative_maintence \ No newline at end of file diff --git a/examples/tutorial_text_classify_regex_example.ipynb b/examples/tutorial_text_classify_regex_example.ipynb new file mode 100644 index 0000000..d7c9a67 --- /dev/null +++ b/examples/tutorial_text_classify_regex_example.ipynb @@ -0,0 +1,187 @@ +{ + "cells": [ + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Adding keyword labels to O&M data\n", + "This notebook demonstrates the use of the `pvops.classify.get_attributes_from_keywords` module for adding asset labels based off O&M notes." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "from sklearn.metrics import accuracy_score\n", + "\n", + "from pvops.text import utils, preprocess\n", + "from pvops.text.classify import get_attributes_from_keywords\n", + "from pvops.text.visualize import visualize_classification_confusion_matrix" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Step 0: Get sample data, remap assets" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# pull in sample data and remap assets for ease of comparison\n", + "\n", + "om_df = pd.read_csv('example_data/example_ML_ticket_data.csv')\n", + "col_dict = {\n", + " \"data\" : \"CompletionDesc\",\n", + " \"eventstart\" : \"Date_EventStart\",\n", + " \"save_data_column\" : \"processed_data\",\n", + " \"save_date_column\" : \"processed_date\",\n", + " \"attribute_col\" : \"Asset\",\n", + " \"predicted_col\" : \"Keyword_Asset\",\n", + " \"remapping_col_from\": \"in\",\n", + " \"remapping_col_to\": \"out_\"\n", + "}\n", + "\n", + "# remap assets\n", + "remapping_df = pd.read_csv('example_data/remappings_asset.csv')\n", + "remapping_df['out_'] = remapping_df['out_'].replace({'met station': 'met',\n", + " 'energy storage': 'battery',\n", + " 'energy meter': 'meter'})\n", + "om_df = utils.remap_attributes(om_df, remapping_df, col_dict, allow_missing_mappings=True)\n", + "om_df.head()" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Step 1: Text preprocessing" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# preprocessing steps\n", + "om_df[col_dict['attribute_col']] = om_df.apply(lambda row: row[col_dict['attribute_col']].lower(), axis=1)\n", + "om_df = preprocess.preprocessor(om_df, lst_stopwords=[], col_dict=col_dict, print_info=False, extract_dates_only=False)\n", + "\n", + "DATA_COL = col_dict['data']\n", + "om_df[DATA_COL] = om_df['processed_data']\n", + "\n", + "# replace terms\n", + "equipment_df = pd.read_csv('~/pvOps/examples/example_data/mappings_equipment.csv')\n", + "pv_terms_df = pd.read_csv('~/pvOps/examples/example_data/mappings_pv_terms.csv')\n", + "pv_reference_df = pd.concat([equipment_df, pv_terms_df])\n", + "om_df = utils.remap_words_in_text(om_df=om_df, remapping_df=pv_reference_df, remapping_col_dict=col_dict)\n", + "\n", + "om_df.head()" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Step 2: Search for keywords to use as labels" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# add asset labels from keyword reference dict\n", + "om_df = get_attributes_from_keywords(om_df=om_df,\n", + " col_dict=col_dict,\n", + " reference_df=equipment_df)\n", + "om_df.head()" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Step 3: Metrics" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# get accuracy measures and count metrics\n", + "PREDICT_COL = col_dict['predicted_col']\n", + "LABEL_COL = col_dict['attribute_col']\n", + "\n", + "# entries with some keyword over interest, over all entries\n", + "label_count = om_df[PREDICT_COL].count() / len(om_df)\n", + "\n", + "# replace 'Other' values with 'Unknown'\n", + "om_df[LABEL_COL] = om_df[LABEL_COL].replace('other', 'unknown')\n", + "# replace NaN values to use accuracy score\n", + "om_df[[LABEL_COL, PREDICT_COL]] = om_df[[LABEL_COL, PREDICT_COL]].fillna('unknown')\n", + "acc_score = accuracy_score(y_true=om_df[LABEL_COL], y_pred=om_df[PREDICT_COL])\n", + "\n", + "msg = f'{label_count:.2%} of entries had a keyword of interest, with {acc_score:.2%} accuracy.'\n", + "print(msg)" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Step 4: Visualization" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# plot confusion matrix\n", + "title = 'Confusion Matrix of Actual and Predicted Asset Labels'\n", + "visualize_classification_confusion_matrix(om_df, col_dict, title)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.5" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/pvops/text/classify.py b/pvops/text/classify.py index 066600e..2756b2b 100644 --- a/pvops/text/classify.py +++ b/pvops/text/classify.py @@ -8,6 +8,7 @@ import pandas as pd import copy +from pvops.text.preprocess import get_keywords_of_interest def classification_deployer( X, @@ -187,3 +188,53 @@ def classification_deployer( best_gs_instance = gs_clf return pd.concat(rows, axis=1).T, best_gs_instance.best_estimator_ + +def get_attributes_from_keywords(om_df, col_dict, reference_df, reference_col_dict): + """Find keywords of interest in specified column of dataframe, return as new column value. + + If keywords of interest given in a reference dataframe are in the specified column of the + dataframe, return the keyword category, or categories. + For example, if the string 'inverter' is in the list of text, return ['inverter']. + + Parameters + ---------- + om_df : pd.DataFrame + Dataframe to search for keywords of interest, must include text_col. + col_dict : dict of {str : str} + A dictionary that contains the column names needed: + + - data : string, should be assigned to associated column which stores the tokenized text logs + - predicted_col : string, will be used to create keyword search label column + reference_df : DataFrame + Holds columns that define the reference dictionary to search for keywords of interest, + Note: This function can currently only handle single words, no n-gram functionality. + reference_col_dict : dict of {str : str} + A dictionary that contains the column names that describes how + referencing is going to be done + + - reference_col_from : string, should be assigned to + associated column name in reference_df that are possible input reference values + Example: pd.Series(['inverter', 'invert', 'inv']) + - reference_col_to : string, should be assigned to + associated column name in reference_df that are the output reference values + of interest + Example: pd.Series(['inverter', 'inverter', 'inverter']) + + Returns + ------- + om_df: pd.DataFrame + Input df with new_col added, where each found keyword is its own row, may result in + duplicate rows if more than one keywords of interest was found in text_col. + """ + om_df[col_dict['predicted_col']] = om_df[col_dict['data']].apply(get_keywords_of_interest, + reference_df=reference_df, + reference_col_dict=reference_col_dict) + + # each multi-category now in its own row, some logs have multiple equipment issues + multiple_keywords_df = om_df[om_df[col_dict['predicted_col']].str.len() > 1] + om_df = om_df.explode(col_dict['predicted_col']) + + msg = f'{len(multiple_keywords_df)} entries had multiple keywords of interest. Reference: {multiple_keywords_df.index} in original dataframe.' + print(msg) + + return om_df \ No newline at end of file diff --git a/pvops/text/preprocess.py b/pvops/text/preprocess.py index 7384785..3936d95 100644 --- a/pvops/text/preprocess.py +++ b/pvops/text/preprocess.py @@ -449,3 +449,47 @@ def text_remove_numbers_stopwords(document, lst_stopwords): document = " ".join(document) return document + + +def get_keywords_of_interest(document_tok, reference_df, reference_col_dict): + """Find keywords of interest in list of strings from reference dict. + + If keywords of interest given in a reference dict are in the list of + strings, return the keyword category, or categories. For example, + if the string 'inverter' is in the list of text, return ['inverter']. + + Parameters + ---------- + document_tok : list of str + Tokenized text, functionally a list of string values. + reference_df : DataFrame + Holds columns that define the reference dictionary to search for keywords of interest, + Note: This function can currently only handle single words, no n-gram functionality. + reference_col_dict : dict of {str : str} + A dictionary that contains the column names that describes how + referencing is going to be done + + - reference_col_from : string, should be assigned to + associated column name in reference_df that are possible input reference values + Example: pd.Series(['inverter', 'invert', 'inv']) + - reference_col_to : string, should be assigned to + associated column name in reference_df that are the output reference values + of interest + Example: pd.Series(['inverter', 'inverter', 'inverter']) + + Returns + ------- + included_equipment: list of str + List of keywords from reference_dict found in list_of_txt, can be more than one value. + """ + REFERENCE_COL_FROM = reference_col_dict["reference_col_from"] + REFERENCE_COL_TO = reference_col_dict["reference_col_to"] + + reference_dict = dict( + zip(reference_df[REFERENCE_COL_FROM], reference_df[REFERENCE_COL_TO]) + ) + + # keywords of interest + overlap_keywords = reference_dict.keys() & document_tok + included_keywords = list({reference_dict[x] for x in overlap_keywords}) + return included_keywords diff --git a/pvops/text/utils.py b/pvops/text/utils.py index f4095c3..7f411d6 100644 --- a/pvops/text/utils.py +++ b/pvops/text/utils.py @@ -80,3 +80,52 @@ def remap_attributes(om_df, remapping_df, remapping_col_dict, "{sum(df[ATTRIBUTE_COL].isna())}") return df + +def remap_words_in_text(om_df, remapping_df, remapping_col_dict): + """A utility function which remaps a text column of om_df using columns + within remapping_df. + + Parameters + ---------- + om_df : DataFrame + A pandas dataframe containing O&M note data + remapping_df : DataFrame + Holds columns that define the remappings + remapping_col_dict : dict of {str : str} + A dictionary that contains the column names that describes how + remapping is going to be done + + - data : string, should be assigned to associated + column name in om_df which will have its text tokenized and remapped + - remapping_col_from : string, should be assigned + to associated column name in remapping_df that matches + original attribute of interest in om_df + - remapping_col_to : string, should be assigned to + associated column name in remapping_df that contains the + final mapped entries + + Returns + ------- + DataFrame + dataframe with remapped columns populated + """ + df = om_df.copy() + TEXT_COL = remapping_col_dict["data"] + REMAPPING_COL_FROM = remapping_col_dict["remapping_col_from"] + REMAPPING_COL_TO = remapping_col_dict["remapping_col_to"] + + # drop any values where input value is equal to output value + remapping_df = remapping_df[remapping_df[REMAPPING_COL_FROM] != remapping_df[REMAPPING_COL_TO]] + + # case-sensitive + remapping_df[REMAPPING_COL_FROM] = remapping_df[REMAPPING_COL_FROM].str.lower() + remapping_df[REMAPPING_COL_TO] = remapping_df[REMAPPING_COL_TO].str.lower() + df[TEXT_COL] = df[TEXT_COL].str.lower() + + renamer = dict( + zip(remapping_df[REMAPPING_COL_FROM], remapping_df[REMAPPING_COL_TO]) + ) + + df[TEXT_COL] = df[TEXT_COL].replace(renamer, regex=True) + + return df \ No newline at end of file diff --git a/pvops/text/visualize.py b/pvops/text/visualize.py index 062ecd5..467ed73 100644 --- a/pvops/text/visualize.py +++ b/pvops/text/visualize.py @@ -2,6 +2,7 @@ import matplotlib import matplotlib.pyplot as plt import networkx as nx +from sklearn.metrics import ConfusionMatrixDisplay # data structures import numpy as np @@ -381,3 +382,46 @@ def visualize_word_frequency_plot( fig = plt.figure(figsize=(12, 6)) fd.plot(30, cumulative=False, title=title, figure=fig, **graph_aargs) return fd + + +def visualize_classification_confusion_matrix(om_df, col_dict, title=''): + """Visualize confusion matrix comparing known categorical values, and predicted categorical values. + + Parameters + ---------- + om_df : DataFrame + A pandas dataframe containing O&M data, which contains columns specified in om_col_dict + col_dict : dict of {str : str} + A dictionary that contains the column names needed: + + - data : string, should be assigned to associated column which stores the tokenized text logs + - attribute_col : string, will be assigned to attribute column and used to create new attribute_col + - predicted_col : string, will be used to create keyword search label column + + title : str + Optional, title of plot + + Returns + ------- + Matplotlib figure instance + """ + act_col = col_dict['attribute_col'] + pred_col = col_dict['predicted_col'] + + # drop any predicted labels with no actual labels in the data, for a cleaner visual + no_real_values = [cat for cat in om_df[pred_col].unique() if cat not in om_df[act_col].unique()] + no_real_values_mask = om_df[pred_col].isin(no_real_values) + om_df = om_df[~no_real_values_mask] + caption_txt = f'NOTE: Predicted values{no_real_values} had no actual values in the dataset.' + + plt.rcParams.update({'font.size': 8}) + cm_display = ConfusionMatrixDisplay.from_predictions(y_true=om_df[act_col], + y_pred=om_df[pred_col], + normalize='true', + ) + fig = cm_display.plot() + plt.xticks(rotation=90) + plt.tight_layout() + plt.figtext(0.00, 0.01, caption_txt, wrap=True, fontsize=7) + plt.title(title) + return fig From b0beb089b239d9715c54423b77f7b4ae10f2f84c Mon Sep 17 00:00:00 2001 From: kbonney Date: Wed, 9 Aug 2023 11:10:18 -0400 Subject: [PATCH 18/39] updating testing and linting workflow --- .github/workflows/lint-and-test.yml | 27 ++++++++------------------- 1 file changed, 8 insertions(+), 19 deletions(-) diff --git a/.github/workflows/lint-and-test.yml b/.github/workflows/lint-and-test.yml index 56248fe..5d2b991 100644 --- a/.github/workflows/lint-and-test.yml +++ b/.github/workflows/lint-and-test.yml @@ -4,52 +4,41 @@ on: [push, pull_request] jobs: test: + runs-on: ${{ matrix.os }} strategy: matrix: os: [ubuntu-latest, macos-latest, windows-latest] - python-version: [3.7, 3.8] - requirements: [requirements.txt] - include: - - requirements: requirements-min.txt - python-version: 3.7 - os: ubuntu-latest - - runs-on: ${{ matrix.os }} - + python-version: ['3.8', '3.9', '3.10'] steps: - uses: actions/checkout@v2 - name: Set up Python ${{ matrix.python-version }} uses: actions/setup-python@v4 with: python-version: ${{ matrix.python-version }} - - name: Install dependencies in ${{ matrix.requirements }} + - name: Install pvops run: | python -m pip install --upgrade pip - pip install -r ${{ matrix.requirements }} + pip install . - name: Test with pytest run: | pip install pytest pytest-cov pytest --cov=pvops --cov-config=.coveragerc --cov-report term-missing pvops lint: - + runs-on: ubuntu-latest strategy: matrix: - python-version: [3.7, 3.8] - - runs-on: ubuntu-latest - + python-version: ['3.8', '3.9', '3.10'] steps: - uses: actions/checkout@v2 - name: Set up Python ${{ matrix.python-version }} uses: actions/setup-python@v4 with: python-version: ${{ matrix.python-version }} - - name: Install dependencies + - name: Install flake8 run: | python -m pip install --upgrade pip - pip install -r requirements.txt + pip install flake8 - name: Lint with flake8 run: | - pip install flake8 flake8 . --count --statistics --show-source --ignore=E402,E203,E266,E501,W503,F403,F401,E402,W291,E302,W391,W292,F405,E722,W504,E121,E125,E712 From 810dd431a7a95e58802f5de650a41217be455a9c Mon Sep 17 00:00:00 2001 From: kbonney Date: Wed, 9 Aug 2023 11:21:05 -0400 Subject: [PATCH 19/39] Fixing minor flake8 issues from latest flake8 version --- pvops/iv/physics_utils.py | 4 ++-- pvops/iv/simulator.py | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/pvops/iv/physics_utils.py b/pvops/iv/physics_utils.py index 92adabc..5ff1dbc 100644 --- a/pvops/iv/physics_utils.py +++ b/pvops/iv/physics_utils.py @@ -37,7 +37,7 @@ def calculate_IVparams(v, c): # for snippet_idx in range(len(v[::5])): # isc and rsh - if type(isc_lim) == float: + if isinstance(isc_lim, float): isc_size = int(len(c) * isc_lim) else: isc_size = isc_lim @@ -47,7 +47,7 @@ def calculate_IVparams(v, c): rsh = 1 / (isc_lm.coef_[0][0] * -1) # voc and rs - if type(voc_lim) == float: + if isinstance(voc_lim, float): voc_size = int(len(v) * voc_lim) else: voc_size = voc_lim diff --git a/pvops/iv/simulator.py b/pvops/iv/simulator.py index 9184db0..978fc8c 100644 --- a/pvops/iv/simulator.py +++ b/pvops/iv/simulator.py @@ -11,7 +11,7 @@ from tqdm import tqdm import pvlib from pvops.iv.utils import get_CEC_params -from pvops.iv.physics_utils import voltage_pts, add_series, bypass,\ +from pvops.iv.physics_utils import voltage_pts, add_series, bypass, \ intersection, iv_cutoff, gt_correction From bc94ccc1ffa0d684b8733dd50b5ce7db7152b806 Mon Sep 17 00:00:00 2001 From: kbonney Date: Mon, 28 Aug 2023 16:41:32 -0400 Subject: [PATCH 20/39] Adding links to example code in user guides and pulling some incomplete doc pages --- docs/pages/moduleguides/iv.rst | 5 +++++ docs/pages/moduleguides/text.rst | 2 +- docs/pages/moduleguides/text2time.rst | 4 ++++ docs/pages/moduleguides/timeseries.rst | 3 +++ docs/pages/userguide.rst | 14 +------------- 5 files changed, 14 insertions(+), 14 deletions(-) diff --git a/docs/pages/moduleguides/iv.rst b/docs/pages/moduleguides/iv.rst index f5ca64d..9510ed8 100644 --- a/docs/pages/moduleguides/iv.rst +++ b/docs/pages/moduleguides/iv.rst @@ -8,6 +8,11 @@ Module Overview These functions focus on current-voltage (IV) curve simulation and classification. +Examples of usage can be found at: + - `tutorial_iv_classifier.ipynb `_. + - `tutorial_iv_diode_extractor.ipynb `_. + - `tutorial_iv_simulator.ipynb `_. + extractor ^^^^^^^^^^^^^^^^^^^^^ diff --git a/docs/pages/moduleguides/text.rst b/docs/pages/moduleguides/text.rst index 7fdbf2f..a4d9fa7 100644 --- a/docs/pages/moduleguides/text.rst +++ b/docs/pages/moduleguides/text.rst @@ -18,7 +18,7 @@ to prepare data for natural language processing (text.nlp_utils submodule), and a visualization suite (text.visualize submodule). An example implementation of all capabilities can be found in -``text_class_example.py`` for specifics, and `tutorial_textmodule.ipynb` for basics. +`text_class_example.py `_ for specifics, and `tutorial_textmodule.ipynb `_ for basics. Text pre-processing ^^^^^^^^^^^^^^^^^^^^^ diff --git a/docs/pages/moduleguides/text2time.rst b/docs/pages/moduleguides/text2time.rst index 1c43d54..e4572fc 100644 --- a/docs/pages/moduleguides/text2time.rst +++ b/docs/pages/moduleguides/text2time.rst @@ -14,6 +14,10 @@ data fusion. Key features include: * generation of baseline values for production loss estimations. * calculation of losses from production anomalies for specific time periods. +An example of usage can be found in +`tutorial_text2time_module.ipynb `_. + + The text2time package can be broken down into three main components: `data pre-processing`, `utils`, and `visualizations`. diff --git a/docs/pages/moduleguides/timeseries.rst b/docs/pages/moduleguides/timeseries.rst index 08ba9b4..14f561e 100644 --- a/docs/pages/moduleguides/timeseries.rst +++ b/docs/pages/moduleguides/timeseries.rst @@ -16,6 +16,9 @@ Additionally, the ability to generate expected energy via IEC standards is implemented in the :py:mod:`~pvops.timeseries.models.iec` module. +An example of usage can be found in +`tutorial_timeseries_module.ipynb `. + Preprocess ^^^^^^^^^^^^^^^^^^^^^ * :py:func:`pvops.timeseries.preprocess.prod_inverter_clipping_filter` diff --git a/docs/pages/userguide.rst b/docs/pages/userguide.rst index db11e0e..1638b39 100644 --- a/docs/pages/userguide.rst +++ b/docs/pages/userguide.rst @@ -11,16 +11,4 @@ Use these brief guides to get started with their respective module. moduleguides/text2time moduleguides/timeseries moduleguides/iv - data - - - -These guides provide details about specific classes used throughout pvOps. - -.. toctree:: - :maxdepth: 1 - :caption: Class Guides - - classguides/modcell - classguides/ivsimulator - classguides/ivclassifier \ No newline at end of file + \ No newline at end of file From 0d7d9b458fa3f75f5ca6f2f17a91750a2170de92 Mon Sep 17 00:00:00 2001 From: kbonney Date: Mon, 28 Aug 2023 17:24:05 -0400 Subject: [PATCH 21/39] Adding module overview to index --- docs/index.rst | 25 +++++++++++++++++++++++++ 1 file changed, 25 insertions(+) diff --git a/docs/index.rst b/docs/index.rst index c97e667..03bb253 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -14,6 +14,31 @@ tools to extract and visualize actionable information from common PV data including Operations & Maintenance (O&M) text data, timeseries production data, and current-voltage (IV) curves. +.. list-table:: Module Overview + :widths: 25 25 50 + :header-rows: 1 + + * - Module + - Type of data + - Highlights of functions + * - text + - O&M records + - - fill data gaps in dates and categorical records + - visualize word clusters and patterns over time + * - timeseries + - Production data + - - estimate expected energy with multiple models + - evaluate inverter clipping + * - text2time + - O&M records and production data + - - analyze overlaps between O&M and production (timeseries) records + - visualize overlaps between O&M records and production data + * - iv + - IV records + - - simulate IV curves with physical faults + - extract diode parameters from IV curves + - classify faults using IV curves + .. toctree:: :maxdepth: 1 :caption: Available resources: From c0a0d55d8726f0dfe6a7aa18126d0ff8f3d97634 Mon Sep 17 00:00:00 2001 From: kbonney Date: Wed, 30 Aug 2023 10:52:14 -0400 Subject: [PATCH 22/39] updating paper to show failed formatting on table --- paper.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/paper.md b/paper.md index 6275300..6ae5e11 100644 --- a/paper.md +++ b/paper.md @@ -50,14 +50,14 @@ PV data collected in the field varies greatly in structure (i.e., timeseries and # Package Overview The following table summarizes the four modules within `pvOps` by presenting: the type of data they analyze, example data features, and highlights of relevant functions. - +iv | IV records | - *current* 1D array
- *voltage* 1D array
- *irradiance* numeric
- *temperature* numeric | - *simulate* IV curves with physical faults
- extract diode parameters from IV curves
- classify faults using IV curves -![table](table.png) + The functions within each module can be used to build pipelines that integrate relevant data processing, fusion, and visualization capabilities to support user endgoals. For example, a user with IV curve data could build a pipeline that leverages functions within the `iv` module to process and extract diode parameters within IV curves as well as train models to support classifications based on fault type. A pipeline could be also be built that leverages functions across modules if a user has access to multiple types of data (e.g., both O&M and production records). A sample end-to-end workflow using `pvOps` modules could be: 1. Use functions within the `text` module to systematically review data quality issues within O&M records, train a machine learning model on available records, and use the model to estimate possible labels for missing entries From 98d5e7145bc9716a869622ffd154b006d613a6b4 Mon Sep 17 00:00:00 2001 From: Kirk Bonney <47759761+kbonney@users.noreply.github.com> Date: Thu, 5 Oct 2023 11:04:28 -0400 Subject: [PATCH 23/39] updating the gitignore with standard python ignores (#79) --- .gitignore | 165 ++++++++++++++++++++++++++++++++++++++++++++++++++++- 1 file changed, 162 insertions(+), 3 deletions(-) diff --git a/.gitignore b/.gitignore index fb24101..756b80a 100644 --- a/.gitignore +++ b/.gitignore @@ -1,3 +1,164 @@ +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# C extensions +*.so + +# Distribution / packaging +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +share/python-wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.nox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +*.py,cover +.hypothesis/ +.pytest_cache/ +cover/ + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +local_settings.py +db.sqlite3 +db.sqlite3-journal + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# Sphinx documentation +docs/_build/ + +# PyBuilder +.pybuilder/ +target/ + +# Jupyter Notebook +.ipynb_checkpoints + +# IPython +profile_default/ +ipython_config.py + +# pyenv +# For a library or package, you might want to ignore these files since the code is +# intended to run in multiple environments; otherwise, check them in: +# .python-version + +# pipenv +# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. +# However, in case of collaboration, if having platform-specific dependencies or dependencies +# having no cross-platform support, pipenv may install dependencies that don't work, or not +# install all needed dependencies. +#Pipfile.lock + +# poetry +# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. +# This is especially recommended for binary packages to ensure reproducibility, and is more +# commonly ignored for libraries. +# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control +#poetry.lock + +# pdm +# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. +#pdm.lock +# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it +# in version control. +# https://pdm.fming.dev/#use-with-ide +.pdm.toml + +# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm +__pypackages__/ + +# Celery stuff +celerybeat-schedule +celerybeat.pid + +# SageMath parsed files +*.sage.py + +# Environments +.env +.venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ + +# Spyder project settings +.spyderproject +.spyproject + +# Rope project settings +.ropeproject + +# mkdocs documentation +/site + +# mypy +.mypy_cache/ +.dmypy.json +dmypy.json + +# Pyre type checker +.pyre/ + +# pytype static type analyzer +.pytype/ + +# Cython debug symbols +cython_debug/ + +# PyCharm +# JetBrains specific template is maintained in a separate JetBrains.gitignore that can +# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore +# and can be added to the global gitignore or merged into this file. For a more nuclear +# option (not recommended) you can uncomment the following to ignore the entire idea folder. +#.idea/ + __pycache__/ pvops/text/__pycache__/ pvops/text2time/__pycache__/ @@ -12,6 +173,4 @@ pvops/.vscode/* pvops/text2time/.vscode .vscode/* .vscode/settings.json -.coverage -.eggs -*.egg-info \ No newline at end of file +.coverage \ No newline at end of file From 8bf2f6cccd86f5b331434fc003a76a940e7d73b3 Mon Sep 17 00:00:00 2001 From: "Adam R. Jensen" <39184289+AdamRJensen@users.noreply.github.com> Date: Thu, 5 Oct 2023 20:51:56 +0545 Subject: [PATCH 24/39] [JOSS review] Updates to the documentation (#74) * Update index.rst * Remove boilerplate info (not useful) * Update .gitignore --- .gitignore | 2 +- docs/index.rst | 11 ++--------- docs/pages/development.rst | 15 --------------- 3 files changed, 3 insertions(+), 25 deletions(-) diff --git a/.gitignore b/.gitignore index 756b80a..dfe5a3f 100644 --- a/.gitignore +++ b/.gitignore @@ -167,7 +167,7 @@ docs/_build/ .pytest_cache/ *.py[cod] examples/analysis/ -examples/.ipynb_checkpoints/ +*.ipynb_checkpoints/ *~ pvops/.vscode/* pvops/text2time/.vscode diff --git a/docs/index.rst b/docs/index.rst index 03bb253..84ed18c 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -6,8 +6,8 @@ Overview ============ pvops is a python package for PV operators & researchers. -It consists a set of documented functions for supporting operations -research of photovoltaic energy systems. +It consists of a set of documented functions for supporting operations +research of photovoltaic (PV) energy systems. The library leverages advances in machine learning, natural language processing and visualization tools to extract and visualize actionable information from common @@ -54,10 +54,3 @@ production data, and current-voltage (IV) curves. pages/contributing pages/releasenotes - -Indices and tables -------------------- - -* :ref:`genindex` -* :ref:`modindex` -* :ref:`search` diff --git a/docs/pages/development.rst b/docs/pages/development.rst index d5e3bfe..5a54e62 100644 --- a/docs/pages/development.rst +++ b/docs/pages/development.rst @@ -73,21 +73,6 @@ to be parsed and displayed correctly. For an example of what this should look li Additional examples can be found in the `napoleon documentation `_. -The following boilerplate can be copy-pasted into the top of a function definition -to help get things started:: - - """Summary line. - - Extended description of function. - - Parameters - ---------- - - Returns - ------- - - - """ Extending Documentation ^^^^^^^^^^^^^^^^^^^^^^^ From 08911d760d6cc65b08662a8ae71374636ff4f0a0 Mon Sep 17 00:00:00 2001 From: "Adam R. Jensen" <39184289+AdamRJensen@users.noreply.github.com> Date: Fri, 6 Oct 2023 00:11:41 +0545 Subject: [PATCH 25/39] Add Python 3.11 to test environment (#57) --- .github/workflows/lint-and-test.yml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.github/workflows/lint-and-test.yml b/.github/workflows/lint-and-test.yml index 5d2b991..cc4edb6 100644 --- a/.github/workflows/lint-and-test.yml +++ b/.github/workflows/lint-and-test.yml @@ -8,7 +8,7 @@ jobs: strategy: matrix: os: [ubuntu-latest, macos-latest, windows-latest] - python-version: ['3.8', '3.9', '3.10'] + python-version: ['3.8', '3.9', '3.10', '3.11'] steps: - uses: actions/checkout@v2 - name: Set up Python ${{ matrix.python-version }} @@ -28,7 +28,7 @@ jobs: runs-on: ubuntu-latest strategy: matrix: - python-version: ['3.8', '3.9', '3.10'] + python-version: ['3.8', '3.9', '3.10', '3.11'] steps: - uses: actions/checkout@v2 - name: Set up Python ${{ matrix.python-version }} From 01be577e510ec4c564ea48df3d695b65eee537d5 Mon Sep 17 00:00:00 2001 From: Kirk Bonney <47759761+kbonney@users.noreply.github.com> Date: Thu, 5 Oct 2023 17:03:23 -0400 Subject: [PATCH 26/39] Addressing various JOSS review comments * removing unneccesary min requirements file * Updating RTD docs requirements pins and updated python version used in RTD * adding additional docs requirements to setup.py variable * adding python version in req.txt note * removing docs req txt file * adding doc pins to setup py * updaing rtd yaml to use new doc reqirements location * adding pins to req.txt * adding version, copyright, and license to __init__.py * fix citation file * add version to setup.py * remove unnecessary init file * update version to 0.2.0 * removing vestigial files * remove notice folder * troubleshooting GH tests * fixing setup.py bug * replacing package name * adding missing commas * correcting "doc" extra requirement for RTD * updating author, copyright, and version in conf.py and setup.py * pacakge->module * Renaming examples to tutorials * changing examples->tutorials --- .readthedocs.yml | 5 +- citation.CIF => CITATION.cff | 2 +- MANIFEST.in | 4 - NOTICE/datefinder_LICENSE | 21 - NOTICE/gensim_LICENSE | 502 ------------------ NOTICE/keras_LICENSE | 13 - NOTICE/matplotlib_LICENSE | 15 - NOTICE/networkxx_LICENSE | 40 -- NOTICE/nltk_LICENSE | 7 - NOTICE/numpy_LICENSE | 30 -- NOTICE/pandas_LICENSE | 31 -- NOTICE/plotly_LICENSE | 21 - NOTICE/pvanalytics_LICENSE | 21 - NOTICE/pvlib_LICENSE | 29 - NOTICE/pyDOE_LICENSE | 12 - NOTICE/scikit-learn_LICENSE | 29 - NOTICE/scipy_LICENSE | 30 -- NOTICE/seaborn_LICENSE | 27 - NOTICE/statsmodels_LICENSE | 34 -- NOTICE/tensorflow_LICENSE | 284 ---------- NOTICE/timezonefinder_LICENSE | 21 - docker/bc.pem | 43 -- docker/dockerfile | 24 - docs/conf.py | 15 +- docs/pages/apidoc/iv.rst | 2 +- docs/pages/apidoc/text.rst | 2 +- docs/pages/apidoc/text2time.rst | 2 +- docs/pages/apidoc/timeseries.rst | 2 +- docs/pages/examples.rst | 24 +- .../examples/tutorial_AIT_timeseries.nblink | 3 - .../examples/tutorial_iv_classifier.nblink | 3 - .../tutorial_iv_diode_extractor.nblink | 3 - .../examples/tutorial_iv_simulator.nblink | 3 - .../examples/tutorial_text2time_module.nblink | 3 - .../pages/examples/tutorial_textmodule.nblink | 3 - .../pages/examples/tutorial_timeseries.nblink | 3 - .../examples/tutorial_timeseries_sim.nblink | 3 - docs/pages/moduleguides/iv.rst | 10 +- docs/pages/moduleguides/text.rst | 3 +- docs/pages/moduleguides/text2time.rst | 2 +- docs/pages/moduleguides/timeseries.rst | 2 +- .../tutorials/tutorial_AIT_timeseries.nblink | 3 + .../tutorials/tutorial_iv_classifier.nblink | 3 + .../tutorial_iv_diode_extractor.nblink | 3 + .../tutorials/tutorial_iv_simulator.nblink | 3 + .../tutorial_text2time_module.nblink | 3 + .../tutorials/tutorial_textmodule.nblink | 3 + .../tutorials/tutorial_timeseries.nblink | 3 + .../tutorials/tutorial_timeseries_sim.nblink | 3 + docs/requirements.txt | 9 - examples/__init__.py | 0 pvops/__init__.py | 10 +- pvops/tests/test_iv.py | 2 +- pvops/tests/test_text2time.py | 2 +- pvops/tests/test_timeseries.py | 2 +- pvops/text/classify.py | 2 +- requirements-min.txt | 16 - requirements.txt | 22 +- setup.py | 31 +- {docs => tutorials}/__init__.py | 0 .../assets/diode_param_extractor.png | Bin .../example_data/example_ML_ticket_data.csv | 0 .../example_data/example_metadata2.csv | 0 .../example_data/example_om_data.csv | 0 .../example_data/example_om_data2.csv | 0 .../example_data/example_perf_data.csv | 0 .../example_data/example_prod_data_cumE2.csv | 0 .../example_prod_with_covariates.csv | 0 .../example_data/mappings_cause.csv | 0 .../example_data/mappings_equipment.csv | 0 .../example_data/mappings_pv_terms.csv | 0 .../example_data/remappings_asset.csv | 0 .../example_data/remappings_response.csv | 0 {examples => tutorials}/text_class_example.py | 0 .../tutorial_AIT_timeseries.ipynb | 0 .../tutorial_iv_classifier.ipynb | 0 .../tutorial_iv_diode_extractor.ipynb | 0 .../tutorial_iv_simulator.ipynb | 0 .../tutorial_text2time_module.ipynb | 0 ...tutorial_text_classify_regex_example.ipynb | 0 .../tutorial_textmodule.ipynb | 0 .../tutorial_timeseries.ipynb | 0 .../tutorial_timeseries_sim.ipynb | 0 83 files changed, 114 insertions(+), 1339 deletions(-) rename citation.CIF => CITATION.cff (97%) delete mode 100644 MANIFEST.in delete mode 100644 NOTICE/datefinder_LICENSE delete mode 100644 NOTICE/gensim_LICENSE delete mode 100644 NOTICE/keras_LICENSE delete mode 100644 NOTICE/matplotlib_LICENSE delete mode 100644 NOTICE/networkxx_LICENSE delete mode 100644 NOTICE/nltk_LICENSE delete mode 100644 NOTICE/numpy_LICENSE delete mode 100644 NOTICE/pandas_LICENSE delete mode 100644 NOTICE/plotly_LICENSE delete mode 100644 NOTICE/pvanalytics_LICENSE delete mode 100644 NOTICE/pvlib_LICENSE delete mode 100644 NOTICE/pyDOE_LICENSE delete mode 100644 NOTICE/scikit-learn_LICENSE delete mode 100644 NOTICE/scipy_LICENSE delete mode 100644 NOTICE/seaborn_LICENSE delete mode 100644 NOTICE/statsmodels_LICENSE delete mode 100644 NOTICE/tensorflow_LICENSE delete mode 100644 NOTICE/timezonefinder_LICENSE delete mode 100644 docker/bc.pem delete mode 100644 docker/dockerfile delete mode 100644 docs/pages/examples/tutorial_AIT_timeseries.nblink delete mode 100644 docs/pages/examples/tutorial_iv_classifier.nblink delete mode 100644 docs/pages/examples/tutorial_iv_diode_extractor.nblink delete mode 100644 docs/pages/examples/tutorial_iv_simulator.nblink delete mode 100644 docs/pages/examples/tutorial_text2time_module.nblink delete mode 100644 docs/pages/examples/tutorial_textmodule.nblink delete mode 100644 docs/pages/examples/tutorial_timeseries.nblink delete mode 100644 docs/pages/examples/tutorial_timeseries_sim.nblink create mode 100644 docs/pages/tutorials/tutorial_AIT_timeseries.nblink create mode 100644 docs/pages/tutorials/tutorial_iv_classifier.nblink create mode 100644 docs/pages/tutorials/tutorial_iv_diode_extractor.nblink create mode 100644 docs/pages/tutorials/tutorial_iv_simulator.nblink create mode 100644 docs/pages/tutorials/tutorial_text2time_module.nblink create mode 100644 docs/pages/tutorials/tutorial_textmodule.nblink create mode 100644 docs/pages/tutorials/tutorial_timeseries.nblink create mode 100644 docs/pages/tutorials/tutorial_timeseries_sim.nblink delete mode 100644 docs/requirements.txt delete mode 100644 examples/__init__.py delete mode 100644 requirements-min.txt rename {docs => tutorials}/__init__.py (100%) rename {examples => tutorials}/assets/diode_param_extractor.png (100%) rename {examples => tutorials}/example_data/example_ML_ticket_data.csv (100%) rename {examples => tutorials}/example_data/example_metadata2.csv (100%) rename {examples => tutorials}/example_data/example_om_data.csv (100%) rename {examples => tutorials}/example_data/example_om_data2.csv (100%) rename {examples => tutorials}/example_data/example_perf_data.csv (100%) rename {examples => tutorials}/example_data/example_prod_data_cumE2.csv (100%) rename {examples => tutorials}/example_data/example_prod_with_covariates.csv (100%) rename {examples => tutorials}/example_data/mappings_cause.csv (100%) rename {examples => tutorials}/example_data/mappings_equipment.csv (100%) rename {examples => tutorials}/example_data/mappings_pv_terms.csv (100%) rename {examples => tutorials}/example_data/remappings_asset.csv (100%) rename {examples => tutorials}/example_data/remappings_response.csv (100%) rename {examples => tutorials}/text_class_example.py (100%) rename {examples => tutorials}/tutorial_AIT_timeseries.ipynb (100%) rename {examples => tutorials}/tutorial_iv_classifier.ipynb (100%) rename {examples => tutorials}/tutorial_iv_diode_extractor.ipynb (100%) rename {examples => tutorials}/tutorial_iv_simulator.ipynb (100%) rename {examples => tutorials}/tutorial_text2time_module.ipynb (100%) rename {examples => tutorials}/tutorial_text_classify_regex_example.ipynb (100%) rename {examples => tutorials}/tutorial_textmodule.ipynb (100%) rename {examples => tutorials}/tutorial_timeseries.ipynb (100%) rename {examples => tutorials}/tutorial_timeseries_sim.ipynb (100%) diff --git a/.readthedocs.yml b/.readthedocs.yml index 8e90405..276ed60 100644 --- a/.readthedocs.yml +++ b/.readthedocs.yml @@ -6,8 +6,9 @@ sphinx: formats: all python: - version: 3.7 + version: 3.8 install: - method: pip path: . - - requirements: docs/requirements.txt + extra_requirements: + - doc diff --git a/citation.CIF b/CITATION.cff similarity index 97% rename from citation.CIF rename to CITATION.cff index 2fd103a..a3ad77a 100644 --- a/citation.CIF +++ b/CITATION.cff @@ -11,7 +11,7 @@ authors: given-names: Hector orcid: https://orcid.org/1234 title: "pvOps: Improving Operational Assessments through Data Fusion" -version: 0.1.6 +version: 0.2.0 doi: 10.5281/zenodo.4776181 date-released: 2021-05-26 keywords: diff --git 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IN NO EVENT SHALL THE -AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER -LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, -OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE -SOFTWARE. \ No newline at end of file diff --git a/docker/bc.pem b/docker/bc.pem deleted file mode 100644 index ba62a63..0000000 --- a/docker/bc.pem +++ /dev/null @@ -1,43 +0,0 @@ ------BEGIN CERTIFICATE----- -MIIHljCCBX6gAwIBAgIJANTMjRbVASgjMA0GCSqGSIb3DQEBBQUAMIHhMQswCQYD -VQQGEwJVUzETMBEGA1UECBMKTmV3IE1leGljbzEUMBIGA1UEBxMLQWxidXF1ZXJx -dWUxJTAjBgNVBAoTHFNhbmRpYSBOYXRpb25hbCBMYWJvcmF0b3JpZXMxKjAoBgNV -BAsTIUluZnJhc3RydWN0dXJlIENvbXB1dGluZyBTZXJ2aWNlczEmMCQGA1UEAxMd -aHR0cHMtaW50ZXJjZXB0aW9uLnNhbmRpYS5nb3YxLDAqBgkqhkiG9w0BCQEWHXBy -b3h5LWludGVyY2VwdGlvbkBzYW5kaWEuZ292MB4XDTEyMDEwNTE5NTc1MFoXDTI3 -MDEzMTE5NTc1MFowgeExCzAJBgNVBAYTAlVTMRMwEQYDVQQIEwpOZXcgTWV4aWNv -MRQwEgYDVQQHEwtBbGJ1cXVlcnF1ZTElMCMGA1UEChMcU2FuZGlhIE5hdGlvbmFs -IExhYm9yYXRvcmllczEqMCgGA1UECxMhSW5mcmFzdHJ1Y3R1cmUgQ29tcHV0aW5n -IFNlcnZpY2VzMSYwJAYDVQQDEx1odHRwcy1pbnRlcmNlcHRpb24uc2FuZGlhLmdv -djEsMCoGCSqGSIb3DQEJARYdcHJveHktaW50ZXJjZXB0aW9uQHNhbmRpYS5nb3Yw -ggIiMA0GCSqGSIb3DQEBAQUAA4ICDwAwggIKAoICAQDFO/1aOsON2N5fRc7IyTGc -9uu4xNUoeXd3rI+dpekLj0DEljeEJZSOnBAiQd/7Uxju6h/v9ZohPKV3vPXYfW2o -AiwCx4youoeoa65GyhTpCK4FNAzk/RFXXGReMbJOY4wNOjns82xjQlUshk7rfWda -+w7vsRcghmtolF808AKfX1jjz7gcMLj2YaF1iIvsH6BC7LRs22PQlMVvNfFElzE2 -Mccs7bL+P67TY9BuJfzZZgAnp4Dglk22tDvLCOTPtOrR1MDI9YJW8IRfu5wQal+I -W1zSkI2qHno2/NqQknzXbveV5te0jkK2KX41lNZTx2L3MW9cN3e7n9FAoyp6a2Eb -xOl2y7PTeOsRQzNdmx/hxTticT4k3QB+xFFvnkbSOiWgc0l4LsUNGwFiTOXsWwb3 -GYt4eO97TX5du7XsroGPr5+8llXIbWlEWwF42ZIYSY2vYXiMwb/yT9MTyHaEfV4t -Kou6e8H/y+07fD2V+JGhvXtyLUwpQe/SiWr6REq+gIjWV2BcluZyoLvR2LyAZ5NY -KHziYoIRzHoHZj9S98GJOCRIeF5OCu6yYfoz1ft2S5V0au2bnQiKmBzTDM4x5oz+ -EnHJv3VReiMBB13ncENBYTlYrxj0pZx/UOmfpmCEhUf6j0i2V06TtkDmhgdCXUrh -X+PZpxXs4bH44WQtKjR0kwIDAQABo4IBTTCCAUkwHQYDVR0OBBYEFK1zfwBTYaKA -SNr0rg6IEltBzNHtMIIBGAYDVR0jBIIBDzCCAQuAFK1zfwBTYaKASNr0rg6IEltB -zNHtoYHnpIHkMIHhMQswCQYDVQQGEwJVUzETMBEGA1UECBMKTmV3IE1leGljbzEU -MBIGA1UEBxMLQWxidXF1ZXJxdWUxJTAjBgNVBAoTHFNhbmRpYSBOYXRpb25hbCBM -YWJvcmF0b3JpZXMxKjAoBgNVBAsTIUluZnJhc3RydWN0dXJlIENvbXB1dGluZyBT -ZXJ2aWNlczEmMCQGA1UEAxMdaHR0cHMtaW50ZXJjZXB0aW9uLnNhbmRpYS5nb3Yx -LDAqBgkqhkiG9w0BCQEWHXByb3h5LWludGVyY2VwdGlvbkBzYW5kaWEuZ292ggkA -1MyNFtUBKCMwDAYDVR0TBAUwAwEB/zANBgkqhkiG9w0BAQUFAAOCAgEAeCKjWa+I -rWGTRcvsRa4RWomj1NXyI6eHVof4UeHwAns89tDuh+CWANKZowEGzJTeDutvvonG -HoN3e/9Lk4zwvbvrTfT9Y3NrmA3BRkc609CayDZUaJLD7EtFg+q0BQULfClUZl1R -z+n3QBIxIWuBlSEqSS5FLGy33ZLqf2uenfqOVICoT16j+lNOkmZTLxFGtojOYZb1 -e0ZuHsezOSV6wDWp8SNDIVB3nTFlCnYRCTZq1KvQRCH5EioIg2M7n0VigkC2MvqQ -vJ6ZqXkpa0mnFGIabHHffcWBSS/dBOqUVZOcsVPMBouaRwYlg5omI+2sbL8U3EsX -R0N4ka4eA4SGqyzSBtvKtgtSxEHL9+tc7WjOgE7jFo8uUEYUXRh/tezjrfLEqmli -q6141+DFmbppq0usrnNZvGtW/PAsCtbdHV7jrCf4ndi0kw+VNcw8iSDLuPN3/ftv -EcJqpX4E63EHSdDqqybOvsHgxU2dNZ5qixVq40qEuMBIYoVLJhZrwLne4xB+n2ZO -Eu1L4g3nQmC1lQOZ3uQgcS9Rf7PxQNi0Py7Tkk04LvxJisV02eFuzcNXlKV5hCUi -Md2TndJHaqP0l0VubZsTKcbwXP/jH4CNzuerPNKU1zOrFPor+6iSgXQy6wk/jtn3 -/zQqr2atMvSAXydLde4U/d/Do72Nihs59wI= ------END CERTIFICATE----- diff --git a/docker/dockerfile b/docker/dockerfile deleted file mode 100644 index acbbd95..0000000 --- a/docker/dockerfile +++ /dev/null @@ -1,24 +0,0 @@ -FROM nexus.web.sandia.gov:8083/continuumio/miniconda3 -LABEL authors="Adrian Perez " - -# https://wp.sandia.gov/proxy-services/ -ENV DEBIAN_FRONTEND="noninteractive" \ - http_proxy="http://proxy.sandia.gov:80" \ - https_proxy="http://proxy.sandia.gov:80" \ - no_proxy="localhost,localnets,sandia.gov,127.0.0.1" \ - # configure py pip to use Nexus - PIP_INDEX_URL=https://nexus.web.sandia.gov/repository/pypi-proxy/simple - - -RUN mkdir -p /usr/local/share/ca-certificates -ADD bc.pem /usr/local/share/ca-certificates/https-interception.sandia.gov.crt - -RUN apt-get update && \ - apt-get install apt-utils ca-certificates curl git -y \ - --no-install-recommends && \ - update-ca-certificates && \ - apt-get autoclean && \ - apt-get --purge -y autoremove && \ - rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/* - -CMD ["/bin/bash"] diff --git a/docs/conf.py b/docs/conf.py index d1c621a..40474db 100644 --- a/docs/conf.py +++ b/docs/conf.py @@ -12,17 +12,17 @@ # import os import sys +from pvops import __version__ sys.path.insert(0, os.path.abspath("../")) # -- Project information ----------------------------------------------------- -project = "pvops" -copyright = "2021, Thushara Gunda" -author = "Thushara Gunda" - -# The full version, including alpha/beta/rc tags -release = "0.1" +project = u"pvops" +copyright = u"2021 National Technology & Engineering Solutions of Sandia, LLC (NTESS)" +author = u"pvOps Developers" +version = __version__ +release = __version__ # -- General configuration --------------------------------------------------- @@ -30,6 +30,9 @@ # Add any Sphinx extension module names here, as strings. They can be # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom # ones. + +language = 'en' + extensions = [ "sphinx.ext.autodoc", # pull in documentation from docstrings in a semi-automatic way. diff --git a/docs/pages/apidoc/iv.rst b/docs/pages/apidoc/iv.rst index 7cfe679..1c5a6e8 100644 --- a/docs/pages/apidoc/iv.rst +++ b/docs/pages/apidoc/iv.rst @@ -1,4 +1,4 @@ -iv package +iv module ========== iv.extractor module diff --git a/docs/pages/apidoc/text.rst b/docs/pages/apidoc/text.rst index f447306..49858b1 100644 --- a/docs/pages/apidoc/text.rst +++ b/docs/pages/apidoc/text.rst @@ -1,4 +1,4 @@ -text package +text module ============ text.classify module diff --git a/docs/pages/apidoc/text2time.rst b/docs/pages/apidoc/text2time.rst index 15f209a..0b8c664 100644 --- a/docs/pages/apidoc/text2time.rst +++ b/docs/pages/apidoc/text2time.rst @@ -1,4 +1,4 @@ -text2time package +text2time module ================= text2time.preprocess module diff --git a/docs/pages/apidoc/timeseries.rst b/docs/pages/apidoc/timeseries.rst index 79296ed..a83725c 100644 --- a/docs/pages/apidoc/timeseries.rst +++ b/docs/pages/apidoc/timeseries.rst @@ -1,4 +1,4 @@ -timeseries package +timeseries module ================== timeseries.preprocess module diff --git a/docs/pages/examples.rst b/docs/pages/examples.rst index d339e96..c949b2c 100644 --- a/docs/pages/examples.rst +++ b/docs/pages/examples.rst @@ -1,17 +1,17 @@ -pvOps Examples -============== +pvOps Tutorials +=============== -Check out the examples below! +Check out the tutorials below! .. toctree:: :maxdepth: 1 - :caption: List of examples: + :caption: List of tutorials: - examples/tutorial_text2time_module.nblink - examples/tutorial_textmodule.nblink - examples/tutorial_timeseries.nblink - examples/tutorial_AIT_timeseries.nblink - examples/tutorial_timeseries_sim.nblink - examples/tutorial_iv_simulator.nblink - examples/tutorial_iv_classifier.nblink - examples/tutorial_iv_diode_extractor.nblink + tutorials/tutorial_text2time_module.nblink + tutorials/tutorial_textmodule.nblink + tutorials/tutorial_timeseries.nblink + tutorials/tutorial_AIT_timeseries.nblink + tutorials/tutorial_timeseries_sim.nblink + tutorials/tutorial_iv_simulator.nblink + tutorials/tutorial_iv_classifier.nblink + tutorials/tutorial_iv_diode_extractor.nblink diff --git a/docs/pages/examples/tutorial_AIT_timeseries.nblink b/docs/pages/examples/tutorial_AIT_timeseries.nblink deleted file mode 100644 index e2c4f14..0000000 --- a/docs/pages/examples/tutorial_AIT_timeseries.nblink +++ /dev/null @@ -1,3 +0,0 @@ -{ - "path": "../../../examples/tutorial_AIT_timeseries.ipynb" -} \ No newline at end of file diff --git a/docs/pages/examples/tutorial_iv_classifier.nblink b/docs/pages/examples/tutorial_iv_classifier.nblink deleted file mode 100644 index c80fb79..0000000 --- a/docs/pages/examples/tutorial_iv_classifier.nblink +++ /dev/null @@ -1,3 +0,0 @@ -{ - "path": "../../../examples/tutorial_iv_classifier.ipynb" -} \ No newline at end of file diff --git a/docs/pages/examples/tutorial_iv_diode_extractor.nblink b/docs/pages/examples/tutorial_iv_diode_extractor.nblink deleted file mode 100644 index 723dda3..0000000 --- a/docs/pages/examples/tutorial_iv_diode_extractor.nblink +++ /dev/null @@ -1,3 +0,0 @@ -{ - "path": "../../../examples/tutorial_iv_diode_extractor.ipynb" -} \ No newline at end of file diff --git a/docs/pages/examples/tutorial_iv_simulator.nblink b/docs/pages/examples/tutorial_iv_simulator.nblink deleted file mode 100644 index bd3649e..0000000 --- a/docs/pages/examples/tutorial_iv_simulator.nblink +++ /dev/null @@ -1,3 +0,0 @@ -{ - "path": "../../../examples/tutorial_iv_simulator.ipynb" -} \ No newline at end of file diff --git a/docs/pages/examples/tutorial_text2time_module.nblink b/docs/pages/examples/tutorial_text2time_module.nblink deleted file mode 100644 index 473a071..0000000 --- a/docs/pages/examples/tutorial_text2time_module.nblink +++ /dev/null @@ -1,3 +0,0 @@ -{ - "path": "../../../examples/tutorial_text2time_module.ipynb" -} \ No newline at end of file diff --git a/docs/pages/examples/tutorial_textmodule.nblink b/docs/pages/examples/tutorial_textmodule.nblink deleted file mode 100644 index 4ed6680..0000000 --- a/docs/pages/examples/tutorial_textmodule.nblink +++ /dev/null @@ -1,3 +0,0 @@ -{ - "path": "../../../examples/tutorial_textmodule.ipynb" -} \ No newline at end of file diff --git a/docs/pages/examples/tutorial_timeseries.nblink b/docs/pages/examples/tutorial_timeseries.nblink deleted file mode 100644 index 988087b..0000000 --- a/docs/pages/examples/tutorial_timeseries.nblink +++ /dev/null @@ -1,3 +0,0 @@ -{ - "path": "../../../examples/tutorial_timeseries.ipynb" -} \ No newline at end of file diff --git a/docs/pages/examples/tutorial_timeseries_sim.nblink b/docs/pages/examples/tutorial_timeseries_sim.nblink deleted file mode 100644 index 21c7bba..0000000 --- a/docs/pages/examples/tutorial_timeseries_sim.nblink +++ /dev/null @@ -1,3 +0,0 @@ -{ - "path": "../../../examples/tutorial_timeseries_sim.ipynb" -} \ No newline at end of file diff --git a/docs/pages/moduleguides/iv.rst b/docs/pages/moduleguides/iv.rst index 9510ed8..19efbad 100644 --- a/docs/pages/moduleguides/iv.rst +++ b/docs/pages/moduleguides/iv.rst @@ -1,4 +1,4 @@ -IV package +IV Guide =============== Module Overview @@ -8,10 +8,10 @@ Module Overview These functions focus on current-voltage (IV) curve simulation and classification. -Examples of usage can be found at: - - `tutorial_iv_classifier.ipynb `_. - - `tutorial_iv_diode_extractor.ipynb `_. - - `tutorial_iv_simulator.ipynb `_. +Tutorials that exemplify usage can be found at: + - `tutorial_iv_classifier.ipynb `_. + - `tutorial_iv_diode_extractor.ipynb `_. + - `tutorial_iv_simulator.ipynb `_. extractor ^^^^^^^^^^^^^^^^^^^^^ diff --git a/docs/pages/moduleguides/text.rst b/docs/pages/moduleguides/text.rst index a4d9fa7..5467ae5 100644 --- a/docs/pages/moduleguides/text.rst +++ b/docs/pages/moduleguides/text.rst @@ -18,7 +18,8 @@ to prepare data for natural language processing (text.nlp_utils submodule), and a visualization suite (text.visualize submodule). An example implementation of all capabilities can be found in -`text_class_example.py `_ for specifics, and `tutorial_textmodule.ipynb `_ for basics. +`text_class_example.py `_ +for specifics, and `tutorial_textmodule.ipynb `_ for basics. Text pre-processing ^^^^^^^^^^^^^^^^^^^^^ diff --git a/docs/pages/moduleguides/text2time.rst b/docs/pages/moduleguides/text2time.rst index e4572fc..c4b13f9 100644 --- a/docs/pages/moduleguides/text2time.rst +++ b/docs/pages/moduleguides/text2time.rst @@ -15,7 +15,7 @@ data fusion. Key features include: * calculation of losses from production anomalies for specific time periods. An example of usage can be found in -`tutorial_text2time_module.ipynb `_. +`tutorial_text2time_module.ipynb `_. The text2time package can be broken down into three main components: diff --git a/docs/pages/moduleguides/timeseries.rst b/docs/pages/moduleguides/timeseries.rst index 14f561e..ad79fb7 100644 --- a/docs/pages/moduleguides/timeseries.rst +++ b/docs/pages/moduleguides/timeseries.rst @@ -17,7 +17,7 @@ standards is implemented in the :py:mod:`~pvops.timeseries.models.iec` module. An example of usage can be found in -`tutorial_timeseries_module.ipynb `. +`tutorial_timeseries_module.ipynb `. Preprocess ^^^^^^^^^^^^^^^^^^^^^ diff --git a/docs/pages/tutorials/tutorial_AIT_timeseries.nblink b/docs/pages/tutorials/tutorial_AIT_timeseries.nblink new file mode 100644 index 0000000..5dd67f6 --- /dev/null +++ b/docs/pages/tutorials/tutorial_AIT_timeseries.nblink @@ -0,0 +1,3 @@ +{ + "path": "../../../tutorials/tutorial_AIT_timeseries.ipynb" +} \ No newline at end of file diff --git a/docs/pages/tutorials/tutorial_iv_classifier.nblink b/docs/pages/tutorials/tutorial_iv_classifier.nblink new file mode 100644 index 0000000..e8b17c9 --- /dev/null +++ b/docs/pages/tutorials/tutorial_iv_classifier.nblink @@ -0,0 +1,3 @@ +{ + "path": "../../../tutorials/tutorial_iv_classifier.ipynb" +} \ No newline at end of file diff --git a/docs/pages/tutorials/tutorial_iv_diode_extractor.nblink b/docs/pages/tutorials/tutorial_iv_diode_extractor.nblink new file mode 100644 index 0000000..8123d4d --- /dev/null +++ b/docs/pages/tutorials/tutorial_iv_diode_extractor.nblink @@ -0,0 +1,3 @@ +{ + "path": "../../../tutorials/tutorial_iv_diode_extractor.ipynb" +} \ No newline at end of file diff --git a/docs/pages/tutorials/tutorial_iv_simulator.nblink b/docs/pages/tutorials/tutorial_iv_simulator.nblink new file mode 100644 index 0000000..d9c5809 --- /dev/null +++ b/docs/pages/tutorials/tutorial_iv_simulator.nblink @@ -0,0 +1,3 @@ +{ + "path": "../../../tutorials/tutorial_iv_simulator.ipynb" +} \ No newline at end of file diff --git a/docs/pages/tutorials/tutorial_text2time_module.nblink b/docs/pages/tutorials/tutorial_text2time_module.nblink new file mode 100644 index 0000000..4862dbb --- /dev/null +++ b/docs/pages/tutorials/tutorial_text2time_module.nblink @@ -0,0 +1,3 @@ +{ + "path": "../../../tutorials/tutorial_text2time_module.ipynb" +} \ No newline at end of file diff --git a/docs/pages/tutorials/tutorial_textmodule.nblink b/docs/pages/tutorials/tutorial_textmodule.nblink new file mode 100644 index 0000000..16c12c8 --- /dev/null +++ b/docs/pages/tutorials/tutorial_textmodule.nblink @@ -0,0 +1,3 @@ +{ + "path": "../../../tutorials/tutorial_textmodule.ipynb" +} \ No newline at end of file diff --git a/docs/pages/tutorials/tutorial_timeseries.nblink b/docs/pages/tutorials/tutorial_timeseries.nblink new file mode 100644 index 0000000..a06f9b2 --- /dev/null +++ b/docs/pages/tutorials/tutorial_timeseries.nblink @@ -0,0 +1,3 @@ +{ + "path": "../../../tutorials/tutorial_timeseries.ipynb" +} \ No newline at end of file diff --git a/docs/pages/tutorials/tutorial_timeseries_sim.nblink b/docs/pages/tutorials/tutorial_timeseries_sim.nblink new file mode 100644 index 0000000..a920167 --- /dev/null +++ b/docs/pages/tutorials/tutorial_timeseries_sim.nblink @@ -0,0 +1,3 @@ +{ + "path": "../../../tutorials/tutorial_timeseries_sim.ipynb" +} \ No newline at end of file diff --git a/docs/requirements.txt b/docs/requirements.txt deleted file mode 100644 index 6ddd503..0000000 --- a/docs/requirements.txt +++ /dev/null @@ -1,9 +0,0 @@ -ipykernel -nbsphinx -nbsphinx-link -sphinx-copybutton -sphinx_rtd_theme -sphinxcontrib.bibtex -nbformat -nbconvert -coverage \ No newline at end of file diff --git a/examples/__init__.py b/examples/__init__.py deleted file mode 100644 index e69de29..0000000 diff --git a/pvops/__init__.py b/pvops/__init__.py index e8df8b1..b5fea55 100644 --- a/pvops/__init__.py +++ b/pvops/__init__.py @@ -1,4 +1,12 @@ from pvops import text from pvops import text2time from pvops import timeseries -from pvops import iv \ No newline at end of file +from pvops import iv + +__version__ = '0.2.0' + +__copyright__ = """Copyright 2023 National Technology & Engineering +Solutions of Sandia, LLC (NTESS). Under the terms of Contract DE-NA0003525 +with NTESS, the U.S. Government retains certain rights in this software.""" + +__license__ = "BSD 3-Clause License" \ No newline at end of file diff --git a/pvops/tests/test_iv.py b/pvops/tests/test_iv.py index d27513f..aa68f8d 100644 --- a/pvops/tests/test_iv.py +++ b/pvops/tests/test_iv.py @@ -7,7 +7,7 @@ import pvops.iv.simulator from pvops.iv.models import nn -datadir = os.path.join('examples', 'example_data') +datadir = os.path.join('tutorials', 'example_data') example_prodpath = os.path.join( datadir, 'example_prod_with_covariates.csv') diff --git a/pvops/tests/test_text2time.py b/pvops/tests/test_text2time.py index c9eee51..67ad994 100755 --- a/pvops/tests/test_text2time.py +++ b/pvops/tests/test_text2time.py @@ -18,7 +18,7 @@ # Define csv paths -datadir = os.path.join('examples', 'example_data') +datadir = os.path.join('tutorials', 'example_data') test_datadir = os.path.join('pvops', 'tests') example_OMpath = os.path.join(datadir, 'example_om_data2.csv') example_prodpath = os.path.join(datadir, 'example_prod_data_cumE2.csv') diff --git a/pvops/tests/test_timeseries.py b/pvops/tests/test_timeseries.py index ddd42b5..fe137d4 100644 --- a/pvops/tests/test_timeseries.py +++ b/pvops/tests/test_timeseries.py @@ -7,7 +7,7 @@ from pvops.text2time import preprocess as t2tprep # Define csv paths -datadir = os.path.join('examples', 'example_data') +datadir = os.path.join('tutorials', 'example_data') example_OMpath = os.path.join(datadir, 'example_om_data2.csv') example_prodpath = os.path.join(datadir, 'example_perf_data.csv') example_metapath = os.path.join(datadir, 'example_metadata2.csv') diff --git a/pvops/text/classify.py b/pvops/text/classify.py index 2756b2b..56f8408 100644 --- a/pvops/text/classify.py +++ b/pvops/text/classify.py @@ -25,7 +25,7 @@ def classification_deployer( The output of this function will be a data frame showing the performance of each classifier when utilizing a specific hyperparameter configuration. - To see an example of this method's application, see ``examples//text_class_example.py`` + To see an example of this method's application, see ``tutorials//text_class_example.py`` Parameters ---------- diff --git a/requirements-min.txt b/requirements-min.txt deleted file mode 100644 index dd01359..0000000 --- a/requirements-min.txt +++ /dev/null @@ -1,16 +0,0 @@ -pandas -numpy -scipy -scikit-learn -nltk -datefinder -matplotlib -seaborn -plotly -gensim -networkx -pvlib -pvanalytics -timezonefinder -pyDOE -tensorflow \ No newline at end of file diff --git a/requirements.txt b/requirements.txt index f4e1f88..b7ecc24 100644 --- a/requirements.txt +++ b/requirements.txt @@ -16,14 +16,16 @@ timezonefinder pyDOE tensorflow -# Testing / Docs +# Testing pytest -ipykernel -nbsphinx -nbsphinx-link -sphinx-copybutton -sphinxcontrib.bibtex -nbformat -nbconvert -coverage -sphinx_rtd_theme \ No newline at end of file + +# Docs +coverage==7.2.3 +ipykernel==6.22.0 +nbconvert==7.3.1 +nbformat==5.8.0 +nbsphinx==0.9.1 +nbsphinx-link==1.3.0 +sphinx-copybutton==0.5.2 +sphinxcontrib-bibtex==2.5.0 +sphinx_rtd_theme==1.2.0 \ No newline at end of file diff --git a/setup.py b/setup.py index 46ff2c8..270027f 100644 --- a/setup.py +++ b/setup.py @@ -1,4 +1,5 @@ -#!/usr/bin/env python +import os +import re try: from setuptools import setup, find_packages @@ -25,7 +26,8 @@ DISTNAME = 'pvops' MAINTAINER = "Thushara Gunda" MAINTAINER_EMAIL = 'tgunda@sandia.gov' -LICENSE = 'Revised BSD' +AUTHOR = 'pvOps Developers' +LICENSE = 'BSD 3-Clause License' URL = 'https://github.com/sandialabs/pvops' TESTS_REQUIRE = [ @@ -52,7 +54,15 @@ ] DOCS_REQUIRE = [ - 'sphinx == 2.2.0' + 'coverage==7.2.3', + 'ipykernel==6.22.0', + 'nbconvert==7.3.1', + 'nbformat==5.8.0', + 'nbsphinx==0.9.1', + 'nbsphinx-link==1.3.0', + 'sphinx-copybutton==0.5.2', + 'sphinxcontrib-bibtex==2.5.0', + 'sphinx_rtd_theme==1.2.0', ] EXTRAS_REQUIRE = { @@ -75,6 +85,17 @@ PACKAGES = find_packages(exclude=["*.tests", "*.tests.*", "tests.*", "tests"]) +# get version from __init__.py +file_dir = os.path.abspath(os.path.dirname(__file__)) +with open(os.path.join(file_dir, 'pvops', '__init__.py')) as f: + version_file = f.read() + version_match = re.search(r"^__version__ = ['\"]([^'\"]*)['\"]", + version_file, re.M) + if version_match: + VERSION = version_match.group(1) + else: + raise RuntimeError("Unable to find version string.") + setup( name=DISTNAME, use_scm_version=True, @@ -86,9 +107,11 @@ ext_modules=[], description=DESCRIPTION, long_description=LONG_DESCRIPTION, + author=AUTHOR, maintainer=MAINTAINER, maintainer_email=MAINTAINER_EMAIL, license=LICENSE, classifiers=CLASSIFIERS, - url=URL + url=URL, + version=VERSION ) diff --git a/docs/__init__.py b/tutorials/__init__.py similarity index 100% rename from docs/__init__.py rename to tutorials/__init__.py diff --git a/examples/assets/diode_param_extractor.png b/tutorials/assets/diode_param_extractor.png similarity index 100% rename from examples/assets/diode_param_extractor.png rename to tutorials/assets/diode_param_extractor.png diff --git a/examples/example_data/example_ML_ticket_data.csv b/tutorials/example_data/example_ML_ticket_data.csv similarity index 100% rename from examples/example_data/example_ML_ticket_data.csv rename to tutorials/example_data/example_ML_ticket_data.csv diff --git a/examples/example_data/example_metadata2.csv b/tutorials/example_data/example_metadata2.csv similarity index 100% rename from examples/example_data/example_metadata2.csv rename to tutorials/example_data/example_metadata2.csv diff --git a/examples/example_data/example_om_data.csv b/tutorials/example_data/example_om_data.csv similarity index 100% rename from examples/example_data/example_om_data.csv rename to tutorials/example_data/example_om_data.csv diff --git a/examples/example_data/example_om_data2.csv b/tutorials/example_data/example_om_data2.csv similarity index 100% rename from examples/example_data/example_om_data2.csv rename to tutorials/example_data/example_om_data2.csv diff --git a/examples/example_data/example_perf_data.csv b/tutorials/example_data/example_perf_data.csv similarity index 100% rename from examples/example_data/example_perf_data.csv rename to tutorials/example_data/example_perf_data.csv diff --git a/examples/example_data/example_prod_data_cumE2.csv b/tutorials/example_data/example_prod_data_cumE2.csv similarity index 100% rename from examples/example_data/example_prod_data_cumE2.csv rename to tutorials/example_data/example_prod_data_cumE2.csv diff --git a/examples/example_data/example_prod_with_covariates.csv b/tutorials/example_data/example_prod_with_covariates.csv similarity index 100% rename from examples/example_data/example_prod_with_covariates.csv rename to tutorials/example_data/example_prod_with_covariates.csv diff --git a/examples/example_data/mappings_cause.csv b/tutorials/example_data/mappings_cause.csv similarity index 100% rename from examples/example_data/mappings_cause.csv rename to tutorials/example_data/mappings_cause.csv diff --git a/examples/example_data/mappings_equipment.csv b/tutorials/example_data/mappings_equipment.csv similarity index 100% rename from examples/example_data/mappings_equipment.csv rename to tutorials/example_data/mappings_equipment.csv diff --git a/examples/example_data/mappings_pv_terms.csv b/tutorials/example_data/mappings_pv_terms.csv similarity index 100% rename from examples/example_data/mappings_pv_terms.csv rename to tutorials/example_data/mappings_pv_terms.csv diff --git a/examples/example_data/remappings_asset.csv b/tutorials/example_data/remappings_asset.csv similarity index 100% rename from examples/example_data/remappings_asset.csv rename to tutorials/example_data/remappings_asset.csv diff --git a/examples/example_data/remappings_response.csv b/tutorials/example_data/remappings_response.csv similarity index 100% rename from examples/example_data/remappings_response.csv rename to tutorials/example_data/remappings_response.csv diff --git a/examples/text_class_example.py b/tutorials/text_class_example.py similarity index 100% rename from examples/text_class_example.py rename to tutorials/text_class_example.py diff --git a/examples/tutorial_AIT_timeseries.ipynb b/tutorials/tutorial_AIT_timeseries.ipynb similarity index 100% rename from examples/tutorial_AIT_timeseries.ipynb rename to tutorials/tutorial_AIT_timeseries.ipynb diff --git a/examples/tutorial_iv_classifier.ipynb b/tutorials/tutorial_iv_classifier.ipynb similarity index 100% rename from examples/tutorial_iv_classifier.ipynb rename to tutorials/tutorial_iv_classifier.ipynb diff --git a/examples/tutorial_iv_diode_extractor.ipynb b/tutorials/tutorial_iv_diode_extractor.ipynb similarity index 100% rename from examples/tutorial_iv_diode_extractor.ipynb rename to tutorials/tutorial_iv_diode_extractor.ipynb diff --git a/examples/tutorial_iv_simulator.ipynb b/tutorials/tutorial_iv_simulator.ipynb similarity index 100% rename from examples/tutorial_iv_simulator.ipynb rename to tutorials/tutorial_iv_simulator.ipynb diff --git a/examples/tutorial_text2time_module.ipynb b/tutorials/tutorial_text2time_module.ipynb similarity index 100% rename from examples/tutorial_text2time_module.ipynb rename to tutorials/tutorial_text2time_module.ipynb diff --git a/examples/tutorial_text_classify_regex_example.ipynb b/tutorials/tutorial_text_classify_regex_example.ipynb similarity index 100% rename from examples/tutorial_text_classify_regex_example.ipynb rename to tutorials/tutorial_text_classify_regex_example.ipynb diff --git a/examples/tutorial_textmodule.ipynb b/tutorials/tutorial_textmodule.ipynb similarity index 100% rename from examples/tutorial_textmodule.ipynb rename to tutorials/tutorial_textmodule.ipynb diff --git a/examples/tutorial_timeseries.ipynb b/tutorials/tutorial_timeseries.ipynb similarity index 100% rename from examples/tutorial_timeseries.ipynb rename to tutorials/tutorial_timeseries.ipynb diff --git a/examples/tutorial_timeseries_sim.ipynb b/tutorials/tutorial_timeseries_sim.ipynb similarity index 100% rename from examples/tutorial_timeseries_sim.ipynb rename to tutorials/tutorial_timeseries_sim.ipynb From bf91ab6358389827d9d7baeac8cbdba5b352e711 Mon Sep 17 00:00:00 2001 From: "Adam R. Jensen" <39184289+AdamRJensen@users.noreply.github.com> Date: Mon, 16 Oct 2023 07:34:10 +0545 Subject: [PATCH 27/39] [JOSS review] Update tested versions in documentation (#58) * Update tested versions in documentation * adding 3.11 to supported versions in docs --------- Co-authored-by: Kirk Bonney <47759761+kbonney@users.noreply.github.com> --- docs/pages/installation.rst | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/docs/pages/installation.rst b/docs/pages/installation.rst index 49ccc6d..9f07875 100644 --- a/docs/pages/installation.rst +++ b/docs/pages/installation.rst @@ -1,7 +1,7 @@ Installation ============= -pvops is tested on Python version 3.7 and 3.8 and depends on a variety of +pvops is tested on Python versions 3.8, 3.9, 3.10, and 3.11 and depends on a variety of packages. See :ref:`reqs` for more information. The latest release of pvops is accessible via PYPI using the following @@ -18,7 +18,7 @@ Alternatively, the package can be installed using github:: NLTK data ---------- -Functions in the text package relies on the "punkt" dataset for the nltk package. +Functions in the text package rely on the "punkt" dataset from the nltk package. After proper installation of pvops, run the commands:: >>> import nltk @@ -27,4 +27,4 @@ After proper installation of pvops, run the commands:: Those operating under a proxy may have difficulty with this installation. This `stack exchange post `_ -may help. \ No newline at end of file +may help. From fcb6301f9e394c7ce91ecf1385fb4cf4e977c144 Mon Sep 17 00:00:00 2001 From: Kirk Bonney <47759761+kbonney@users.noreply.github.com> Date: Tue, 17 Oct 2023 14:13:08 -0400 Subject: [PATCH 28/39] Docs updates (#81) * Adding statement of need and accompanying bib items * moving statement of need to landing page * renaming documentation file examples->tutorials * updating readme to reflect examples->tutorials * fixing image embedd * remove reference to statement of need page * Adding patch notes --- README.md | 4 +-- docs/index.rst | 25 +++++++++++++- docs/pages/releasenotes.rst | 10 ++++-- docs/pages/releasenotes/0.1.7.rst | 4 +++ docs/pages/releasenotes/0.1.8.rst | 13 +++++++ docs/pages/releasenotes/0.1.9.rst | 11 ++++++ docs/pages/releasenotes/0.2.0.rst | 19 +++++++++++ docs/pages/{examples.rst => tutorials.rst} | 0 docs/refs/pvops.bib | 38 ++++++++++++++++++++- tutorials/tutorial_iv_diode_extractor.ipynb | 5 ++- 10 files changed, 122 insertions(+), 7 deletions(-) create mode 100644 docs/pages/releasenotes/0.1.7.rst create mode 100644 docs/pages/releasenotes/0.1.8.rst create mode 100644 docs/pages/releasenotes/0.1.9.rst create mode 100644 docs/pages/releasenotes/0.2.0.rst rename docs/pages/{examples.rst => tutorials.rst} (100%) diff --git a/README.md b/README.md index 5b0fdd9..cbe2a6d 100644 --- a/README.md +++ b/README.md @@ -16,11 +16,11 @@ pvops can be installed using `pip`. See more information at [readthedocs](https: Package Layout and Documentation ============== -The package is delineated into the following directories. Refer to the `examples` directory for a full run-through of the available functionality. +The package is delineated into the following directories. Refer to the `tutorials` directory for a full run-through of the available functionality. ``` ├───docs : Documentation directory | -├───examples : Functionality examples directory +├───tutorials : Contains tutorials of functionality │ └─── example_data : └─── Example data | └───pvops : Source function library diff --git a/docs/index.rst b/docs/index.rst index 84ed18c..782fddf 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -38,6 +38,29 @@ production data, and current-voltage (IV) curves. - - simulate IV curves with physical faults - extract diode parameters from IV curves - classify faults using IV curves + +Statement of Need +================= + +Continued interest in PV deployment across the world has resulted in increased awareness of needs associated +with managing reliability and performance of these systems during operation. Current open-source packages for +PV analysis focus on theoretical evaluations of solar power simulations (e.g., `pvlib`; :cite:p:`holmgren2018pvlib`), +specific use cases of empirical evaluations (e.g., `RdTools`; :cite:p:`deceglie2018rdtools` and `Pecos`; :cite:p:`klise2016performance` +for degradation analysis), or analysis of electroluminescene images (e.g., `PVimage`; :cite:p:`pierce2020identifying`). However, +a general package that can support data-driven, exploratory evaluations of diverse field collected information is currently lacking. +To address this gap, we present `pvOps`, an open-source, Python package that can be used by researchers and industry +analysts alike to evaluate different types of data routinely collected during PV field operations. + +PV data collected in the field varies greatly in structure (i.e., timeseries and text records) and quality +(i.e., completeness and consistency). The data available for analysis is frequently semi-structured. +Furthermore, the level of detail collected between different owners/operators might vary. +For example, some may capture a general start and end time for an associated event whereas others might include +additional time details for different resolution activities. This diversity in data types and structures often +leads to data being under-utilized due to the amount of manual processing required. To address these issues, +`pvOps` provides a suite of data processing, cleaning, and visualization methods to leverage insights across a +broad range of data types, including operations and maintenance records, production timeseries, and IV curves. +The functions within `pvOps` enable users to better parse available data to understand patterns in outages and production losses. + .. toctree:: :maxdepth: 1 @@ -46,7 +69,7 @@ production data, and current-voltage (IV) curves. Overview pages/installation pages/userguide - pages/examples + pages/tutorials pages/modules pages/references pages/abbreviations diff --git a/docs/pages/releasenotes.rst b/docs/pages/releasenotes.rst index bcc0dda..06ca773 100644 --- a/docs/pages/releasenotes.rst +++ b/docs/pages/releasenotes.rst @@ -1,11 +1,17 @@ .. _whatsnew: -********** What's New -********** +========== These are new features and improvements of note in each release. +.. include:: releasenotes/0.2.0.rst + +.. include:: releasenotes/0.1.9.rst + +.. include:: releasenotes/0.1.8.rst + +.. include:: releasenotes/0.1.7.rst .. include:: releasenotes/beta.rst diff --git a/docs/pages/releasenotes/0.1.7.rst b/docs/pages/releasenotes/0.1.7.rst new file mode 100644 index 0000000..8ac5acb --- /dev/null +++ b/docs/pages/releasenotes/0.1.7.rst @@ -0,0 +1,4 @@ +0.1.7 (September 20 2021) +------------------------- + +Updated functions for data processing (text and timeseries) analysis. Also includes IV curve functions diff --git a/docs/pages/releasenotes/0.1.8.rst b/docs/pages/releasenotes/0.1.8.rst new file mode 100644 index 0000000..303b1a3 --- /dev/null +++ b/docs/pages/releasenotes/0.1.8.rst @@ -0,0 +1,13 @@ +0.1.8 (Jan 14 2022) +----------------------- + +Includes a data-derived expected energy model trained using machine learning methods. Associated example is also within the documentation. + +Functionality +~~~~~~~~~~~~~ + +* Added AIT model + +Other +~~~~~~~~~~~~~ +* Add citation.cif diff --git a/docs/pages/releasenotes/0.1.9.rst b/docs/pages/releasenotes/0.1.9.rst new file mode 100644 index 0000000..d7dac27 --- /dev/null +++ b/docs/pages/releasenotes/0.1.9.rst @@ -0,0 +1,11 @@ +0.1.9 (November 21 2022) +------------------------- + +Includes updated documentation and fixes for dependency issues + + +Documentation +~~~~~~~~~~~~~ + +* Docstrings polished across the package. +* Resolved documentation build errors and warnings diff --git a/docs/pages/releasenotes/0.2.0.rst b/docs/pages/releasenotes/0.2.0.rst new file mode 100644 index 0000000..b683f6c --- /dev/null +++ b/docs/pages/releasenotes/0.2.0.rst @@ -0,0 +1,19 @@ +0.2.0 (August 9 2023) +----------------------- + +This release incorporates new functions and addresses depreciated commands in some of the package dependencies. + +Documentation +~~~~~~~~~~~~~ + +* Doc pages "makeover" in preparation for JOSS publication +* Added additional context and detail to example notebooks. +* Added module guides +* Added contributing pages + +New Features +~~~~~~~~~~~~ + +* Added `get_attributes_from_keywords` to text.classify +* Added `get_keywords_of_interest` to text.preprocess +* Added `remap_words_in_text` to text.visualize \ No newline at end of file diff --git a/docs/pages/examples.rst b/docs/pages/tutorials.rst similarity index 100% rename from docs/pages/examples.rst rename to docs/pages/tutorials.rst diff --git a/docs/refs/pvops.bib b/docs/refs/pvops.bib index 6eef05e..ae86a99 100644 --- a/docs/refs/pvops.bib +++ b/docs/refs/pvops.bib @@ -74,4 +74,40 @@ @article{osti_1078057 place = {United States}, year = {2013}, month = {4} -} \ No newline at end of file +} + +@techreport{deceglie2018rdtools, + title={RdTools: an open source python library for PV degradation analysis}, + author={Deceglie, Michael G and Jordan, Dirk and Nag, Ambarish and Deline, Christopher A and Shinn, Adam}, + year={2018}, + institution={National Renewable Energy Lab.(NREL), Golden, CO (United States)} +} + +@article{holmgren2018pvlib, + title={pvlib python: A python package for modeling solar energy systems}, + author={Holmgren, William F and Hansen, Clifford W and Mikofski, Mark A}, + journal={Journal of Open Source Software}, + volume={3}, + number={29}, + pages={884}, + doi={10.21105/joss.00884}, + year={2018} +} + +@inproceedings{pierce2020identifying, + title={Identifying Degradation Modes of Photovoltaic Modules Using Unsupervised Machine Learning on Electroluminescense Images}, + author={Pierce, Benjamin G and Karimi, Ahmad Maroof and Liu, JiQi and French, Roger H and Braid, Jennifer L}, + booktitle={2020 47th IEEE Photovoltaic Specialists Conference (PVSC)}, + pages={1850--1855}, + year={2020}, + organization={IEEE}, + doi = {10.1109/PVSC45281.2020.9301021} +} + +@techreport{klise2016performance, + title={Performance Monitoring using Pecos (V. 0.1)}, + author={Klise, Katherine A and Stein, Joshua S}, + year={2016}, + institution={Sandia National Laboraties}, + doi = {10.2172/1734479} +} diff --git a/tutorials/tutorial_iv_diode_extractor.ipynb b/tutorials/tutorial_iv_diode_extractor.ipynb index d4cb187..d3798d7 100644 --- a/tutorials/tutorial_iv_diode_extractor.ipynb +++ b/tutorials/tutorial_iv_diode_extractor.ipynb @@ -1,6 +1,7 @@ { "cells": [ { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -17,6 +18,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -435,6 +437,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -472,7 +475,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Example: Performance of BruteForceExtractor for estimating diode parameters off many input curves" + "Example: Performance of BruteForceExtractor for estimating diode parameters off many input curves" ] } ], From d21db98489e18f6a8b5ac18c034a82716bd0ab1d Mon Sep 17 00:00:00 2001 From: Kirk Bonney <47759761+kbonney@users.noreply.github.com> Date: Tue, 17 Oct 2023 14:31:53 -0400 Subject: [PATCH 29/39] Update .readthedocs.yml --- .readthedocs.yml | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/.readthedocs.yml b/.readthedocs.yml index 276ed60..224d4fd 100644 --- a/.readthedocs.yml +++ b/.readthedocs.yml @@ -1,5 +1,10 @@ version: 2 +build: + os: ubuntu-22.04 + tools: + python: "3.8" + sphinx: configuration: docs/conf.py From ef4f015fe0bfb2746115d35038019df409426ef4 Mon Sep 17 00:00:00 2001 From: Kirk Bonney <47759761+kbonney@users.noreply.github.com> Date: Wed, 18 Oct 2023 13:02:51 -0400 Subject: [PATCH 30/39] troubleshooting rtd --- .readthedocs.yml | 1 - 1 file changed, 1 deletion(-) diff --git a/.readthedocs.yml b/.readthedocs.yml index 224d4fd..f9d7929 100644 --- a/.readthedocs.yml +++ b/.readthedocs.yml @@ -11,7 +11,6 @@ sphinx: formats: all python: - version: 3.8 install: - method: pip path: . From 75fbbb387f72bae6e8b46f898c3a272f96715801 Mon Sep 17 00:00:00 2001 From: Kirk Bonney <47759761+kbonney@users.noreply.github.com> Date: Wed, 18 Oct 2023 13:14:59 -0400 Subject: [PATCH 31/39] rtd --- .readthedocs.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.readthedocs.yml b/.readthedocs.yml index f9d7929..58ef933 100644 --- a/.readthedocs.yml +++ b/.readthedocs.yml @@ -3,7 +3,7 @@ version: 2 build: os: ubuntu-22.04 tools: - python: "3.8" + python: "3.11" sphinx: configuration: docs/conf.py From 506b0ebd15c5b59f68de07e53354f6a28c1b07d9 Mon Sep 17 00:00:00 2001 From: Kirk Bonney <47759761+kbonney@users.noreply.github.com> Date: Thu, 19 Oct 2023 14:00:07 -0400 Subject: [PATCH 32/39] Docs updates (#82) * Adding statement of need and accompanying bib items * moving statement of need to landing page * renaming documentation file examples->tutorials * updating readme to reflect examples->tutorials * fixing image embedd * remove reference to statement of need page * Adding patch notes * removing WIP docs pages * Remvoing reference to undefined reference "reqs" * Fix image embed warnings * adding noxfile for taskrunning * Expanding temrinology page * Adding structure to user guide toctree * restructuring index * Adding gallery to tutorials page * updating doc pins * fixing linting issues with noxfile --- docs/index.rst | 5 +- docs/pages/abbreviations.rst | 31 +-- docs/pages/classguides/ivclassifier.rst | 46 ---- docs/pages/classguides/ivsimulator.rst | 241 ------------------ docs/pages/classguides/modcell.rst | 3 - docs/pages/data.rst | 49 ---- docs/pages/installation.rst | 2 +- docs/pages/tutorials.rst | 29 ++- .../assets/diode_param_extractor.png | Bin 0 -> 455046 bytes docs/pages/userguide.rst | 16 +- noxfile.py | 42 +++ requirements.txt | 5 +- setup.py | 5 +- tutorials/tutorial_iv_diode_extractor.ipynb | 4 +- 14 files changed, 99 insertions(+), 379 deletions(-) delete mode 100644 docs/pages/classguides/ivclassifier.rst delete mode 100644 docs/pages/classguides/ivsimulator.rst delete mode 100644 docs/pages/classguides/modcell.rst delete mode 100644 docs/pages/data.rst create mode 100644 docs/pages/tutorials/assets/diode_param_extractor.png create mode 100644 noxfile.py diff --git a/docs/index.rst b/docs/index.rst index 782fddf..e55a93b 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -67,13 +67,12 @@ The functions within `pvOps` enable users to better parse available data to unde :caption: Available resources: Overview - pages/installation pages/userguide pages/tutorials pages/modules - pages/references - pages/abbreviations pages/development pages/contributing pages/releasenotes + pages/references + diff --git a/docs/pages/abbreviations.rst b/docs/pages/abbreviations.rst index 9bc59d9..694790e 100644 --- a/docs/pages/abbreviations.rst +++ b/docs/pages/abbreviations.rst @@ -1,20 +1,17 @@ -Abbreviations +Abbreviations/Terminology ==================================== -* AIT: +* AIT: Additive Interaction Model described in :cite:p:`app12041872` * CEC: California Energy Commission * WS: wind speed -* Varr -* prod_irradiance_filter -* popular -* T -* Rsh_mult -* Rs_mult -* Io_mult -* Il_mult -* nnsvth_mult -* E -* Tc -* mode -* gt -* v_rbd -* v_oc \ No newline at end of file +* Varr: Voltage array +* T: Average cell temperature +* Rsh_mult: Multiplier usually less than 1 to simulate a drop in RSH +* Rs_mult: Multiplier usually less than 1 to simulate a drop in RS +* Io_mult: Multiplier usually less than 1 to simulate a drop in IO +* Il_mult: Multiplier usually less than 1 to simulate a drop in IL +* nnsvth_mult: Multiplier usually less than 1 to simulate a drop in NNSVTH +* E: Irradiance +* Tc: Cell temp +* gt: (G - Irradiation and T - temperature) +* v_rbd: Reverse bias diode voltage +* v_oc: Open circuit voltage \ No newline at end of file diff --git a/docs/pages/classguides/ivclassifier.rst b/docs/pages/classguides/ivclassifier.rst deleted file mode 100644 index a85e884..0000000 --- a/docs/pages/classguides/ivclassifier.rst +++ /dev/null @@ -1,46 +0,0 @@ - -IV Classifier Guide -==================== - -.. nn config information extracted from docstring - -Parameters used to define a `nn_config` dictionary are disseminated into four categories: - - * Neural network parameters - - - **model_choice** (*str*), model choice, either "1DCNN" or - "LSTM_multihead" - - **params** (*list[str]*), column names in train & test - dataframes, used in neural network. Each value in this column - must be a list. - - **dropout_pct** (*float*), rate at which to set input units - to zero. - - **verbose** (*int*), control the specificity of the prints. - - * Training parameters - - - **train_size** (*float*), split of training data used for - training - - **shuffle_split** (*bool*), shuffle data during test-train - split - - **balance_tactic** (*str*), mode balancing tactic, either - "truncate" or "gravitate". Truncate will utilize the exact - same number of samples for each category. Gravitate will sway - the original number of samples towards the same number. - Default= truncate. - - **n_split** (*int*), number of splits in the stratified KFold - cross validation. - - **batch_size** (*int*), number of samples per gradient update. - - **max_epochs** (*int*), maximum number of passes through the - training process. - - * LSTM parameters - - - **use_attention_lstm** (*bool*), if True, - use attention in LSTM network - - **units** (*int*), number of neurons in initial NN lay - - * 1DCNN parameters - - - **nfilters** (*int*), number of filters in the convolution. - - **kernel_size** (*int*), length of the convolution window. \ No newline at end of file diff --git a/docs/pages/classguides/ivsimulator.rst b/docs/pages/classguides/ivsimulator.rst deleted file mode 100644 index e9de011..0000000 --- a/docs/pages/classguides/ivsimulator.rst +++ /dev/null @@ -1,241 +0,0 @@ -IV Curve Simulator Guide -======================================= - -This page provides a guide to the :py:class:`~pvops.iv.simulator.IV Simulator` -class. The primary use of the class is to simulate photovoltaic current-voltage -curves with failures. - -Methods Overview ------------------ - -add_preset_conditions(fault_name, fault_condition, save_name = None, kwargs) - Define a failure condition using a preset condition. See :py:meth:`add_preset_conditions` - -add_manual_conditions(modcell, condition_dict) - Define a failure by passing in modcell and cell condition definitons manually. See :py:meth:`add_manual_conditions` - -generate_many_samples(identifier, N, distributions = None, default_sample = None) - Generate `N` more definitions of the same failure cell condition by defining parameter `distributions` - -build_strings(config_dict) - Define a string as a list of modules which were defined in :py:meth:`add_preset_conditions` or :py:meth:`add_manual_conditions` - -simulate(sample_limit) - Simulate cell, substring, module, and string-level definitions - -print_info() - Display the number of definitions on the cell, module, and string levels - -visualize(lim = False) - Visualize the definitions and render parameter distributions - -IV Simulator Workflow ----------------------- - -- Initialize a Simulator object. - - - A `pristine` condition is created automatically, but can be added - manually using the ``pristine_condition`` parameter - -- Specify failure conditions either by - - - adding a preset configuration, - - - adding a manual configuration, - - - both. - -- (Optional) Generate many definitions of a cell condition - ``generate_many_samples(identifier, N, distributions = None, default_sample = None)`` - -- (Optional) Define a string as a list of modules - ``build_strings(config_dict)`` - -- Simulate all levels of the designed PV system - ``simulate(sample_limit)`` - -- (Optional) Display information about the system - ``print_info()`` - ``visualize(lim = False)`` - -- Access simulations for your intended use - - 1) Export simulations as dataframe, which has columns: - ``df = sims_to_df(cutoff=False)`` - - 2) Access simulations manually - Inspect ``Simulator().multilevel_ivdata`` - See `Attributes` above for information on multilevel_ivdata. - -Definition of Faults ------------------------ - -Preset definitions of faults -^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - -The IV Simulator comes with five built-in conditions: - - - 'complete': entire module has fault_condition (e.g. Full module shading) - Requires no other specifications - - - e.g. ``add_preset_conditions('complete', fault_condition)`` - - - 'landscape': entire rows are affected by fault_condition (e.g. interrow shading) - Requires specification of rows_aff - - - e.g. ``add_preset_conditions('landscape', fault_condition, rows_aff = 2)`` - - - 'portrait': entire columns are affected by fault_condition (e.g. vegetation growth shading) - Requires specification of cols_af - - - e.g. ``add_preset_conditions('portrait', fault_condition, cols_aff = 2)`` - - - 'pole': Place pole shadow over module - Requires specification of width (integer), which designates the width of main shadow and - requires light_shading fault_condition specification which specifies less intense shading - on edges of shadow. - - - Optional: pos = (left, right) designates the start and end of the pole shading, - where left is number in the first column and right is number in last column - if pos not specified, the positions are chosen randomly - - e.g. ``add_preset_conditions('pole', fault_condition, light_shading = light_fault_condition, width = 2, pos = (5, 56))`` - - - 'bird_droppings': Random positions are chosen for bird_dropping simulation - - - Optional specification is n_droppings. If not specified, chosen as random number between - 1 and the number of cells in a column - - e.g. ``add_preset_conditions('bird_droppings', fault_condition, n_droppings = 3)`` - - -Manual definition of faults -^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - -To define a fault manually, you must provide two specifications: - - 1. Mapping of cells onto a module, which we deem a _modcell_ - 2. Definition of cell conditions, stored in _condition_dict_ - -For example, - - - ``add_manual_conditions(modcell, condition_dict)`` - -Example --------------------------------- - -First, define desired parameters and pass them into the Simulator -constructor. - -.. doctest:: - - >>> mod_specs = { - ... 'Jinko_Solar_Co___Ltd_JKM270PP_60': - ... {'ncols': 6, 'nsubstrings': 3} - ... } - - >>> pristine_condition = { - ... 'identifier': 'pristine', - ... 'E': 1000, - ... 'Tc': 50, - ... 'Rsh_mult': 1, - ... 'Rs_mult': 1, - ... 'Io_mult': 1, - ... 'Il_mult': 1, - ... 'nnsvth_mult': 1, - ... } - - >>> replacement_5params = { - ... 'I_L_ref': 9.06157444e+00, - ... 'I_o_ref': 1.67727320e-10, - ... 'R_s': 5.35574950e-03, - ... 'R_sh_ref': 3.03330425e+00, - ... 'a_ref': 2.54553421e-02 - ... } - -.. note:: - replacement_5params is optional, and can be determined - by IVProcessor(). - -Using the defined parameters, define a Simulator object. - -.. doctest:: - - >>> import pvops - - >>> sim = pvops.iv.Simulator( - ... mod_specs, - ... pristine_condition, - ... replacement_5params - ... ) - -Add a preset condition. In this case, we use the preset condition 'complete'. - -.. doctest:: - - >>> condition = {'identifier':'light_shade','E':925} - >>> sim.add_preset_conditions('complete', condition, save_name = f'Complete_lightshading') - -Add a manual condition. Note that this requires the definition of a modcell. - -.. doctest:: - - >>> modcells = { - ... 'unique_shading': - ... [0,0,0,0,0,0,0,0,0,0, # Using 1D list - ... 1,1,1,1,1,1,1,1,1,1, - ... 1,1,1,1,1,1,1,1,1,1, - ... 1,1,1,1,1,1,1,1,1,1, - ... 1,1,1,1,1,1,1,1,1,1, - ... 0,0,0,0,0,0,0,0,0,0], - ... 'another_example': - ... [[0,0,0,0,0,0,0,0,0,0, # Using 2D list (aka, multiple conditions as input) - ... 1,1,1,1,1,1,1,1,1,1, - ... 1,1,1,0,0,0,0,1,1,1, - ... 1,1,1,0,0,0,0,1,1,1, - ... 1,1,1,0,0,0,0,1,1,1, - ... 0,0,0,0,0,0,0,0,0,0], - ... [0,1,0,0,0,0,0,0,0,0, - ... 1,1,1,1,1,1,1,1,1,1, - ... 1,1,1,1,1,1,1,1,1,1, - ... 0,0,0,1,1,1,0,0,0,0, - ... 0,0,0,1,1,1,0,0,0,0, - ... 0,0,0,0,0,0,0,0,0,0]] - ... } - - -.. note:: - All numbers used in modcells must be defined here. - If defining a pristine condition, pass a blank dictionary. - If making edits to a pristine condition (e.g. dropping irradiance to 400) - you only need to - - - specify the change made, and - - name an identifier string (for future reference) - - The pristine condition can be changed when first creating the class object. - To define a pristine, you can either pass an empty dictionary or pass {'identifier':'pristine'} - -.. doctest:: - - >>> condition_dict = { - ... 0: {}, - ... 1: { - ... 'identifier': 'shading_cond1', - ... 'E': 400, - ... } - ... } - >>> sim.add_manual_conditions(modcells, condition_dict) - -Next, we build strings and simulate: - -.. doctest:: - - >>> sim.build_strings({'Partial_lightshading': ['pristine']*6 + ['Complete_lightshading']*6}) - >>> sim.simulate() - >>> sim.print_info() - -Finally, we obtain the results - -.. doctest:: - - >>> Vsim = sim.multilevel_ivdata['string']['Partial_lightshading']['V'][0] - >>> Isim = sim.multilevel_ivdata['string']['Partial_lightshading']['I'][0] \ No newline at end of file diff --git a/docs/pages/classguides/modcell.rst b/docs/pages/classguides/modcell.rst deleted file mode 100644 index 07f2fc9..0000000 --- a/docs/pages/classguides/modcell.rst +++ /dev/null @@ -1,3 +0,0 @@ - -Modcell Guide -============= \ No newline at end of file diff --git a/docs/pages/data.rst b/docs/pages/data.rst deleted file mode 100644 index ce2e31e..0000000 --- a/docs/pages/data.rst +++ /dev/null @@ -1,49 +0,0 @@ -Loading Data into pvOps -=========================== - -pvOps handles three types of photovoltaic data: - -Types of Data -^^^^^^^^^^^^^^ - -Production ----------- -.. Description of production style data -.. Explanation of column dictionaries -.. doctest for loading and viewing data - -Operation and maintenance -------------------------- -.. Description of OM style data -.. Explanation of column dictionaries -.. doctest for loading and viewing data - -IV curves ---------- -.. Description of IV style data -.. Explanation of column dictionaries -.. doctest for loading and viewing data - -Column Dictionaries -^^^^^^^^^^^^^^^^^^^ - -Many functions in the pvOps library make assumptions about the column -names of the DataFrames which are passed into them. To allow users to -keep a potentially different naming scheme, pvOps uses column dictionaries -to translate between user column names and pvOps column names. -The format for dictionaries is {pvops variable: user-specific column names}. -For example, - -.. code-block:: - - >>> om_col_dict = { - ... 'siteid': 'randid', - ... 'datestart': 'date_start', - ... 'dateend': 'date_end', - ... 'workID': 'WONumber', - ... 'worktype': 'WOType', - ... 'asset': 'Asset', - ... 'eventdur': 'EventDur', #user's name choice for new column (Repair Duration) - ... 'modatestart': 'MonthStart', #user's name choice for new column (Month when an event begins) - ... 'agedatestart': 'AgeStart'} #user's name choice for new column (Age of system when event begins) - diff --git a/docs/pages/installation.rst b/docs/pages/installation.rst index 9f07875..b62f31b 100644 --- a/docs/pages/installation.rst +++ b/docs/pages/installation.rst @@ -2,7 +2,7 @@ Installation ============= pvops is tested on Python versions 3.8, 3.9, 3.10, and 3.11 and depends on a variety of -packages. See :ref:`reqs` for more information. +packages. The latest release of pvops is accessible via PYPI using the following command line prompt:: diff --git a/docs/pages/tutorials.rst b/docs/pages/tutorials.rst index c949b2c..963bf16 100644 --- a/docs/pages/tutorials.rst +++ b/docs/pages/tutorials.rst @@ -3,15 +3,22 @@ pvOps Tutorials Check out the tutorials below! -.. toctree:: - :maxdepth: 1 - :caption: List of tutorials: +.. nbgallery:: + :caption: Text & Text2Time tutorials: - tutorials/tutorial_text2time_module.nblink - tutorials/tutorial_textmodule.nblink - tutorials/tutorial_timeseries.nblink - tutorials/tutorial_AIT_timeseries.nblink - tutorials/tutorial_timeseries_sim.nblink - tutorials/tutorial_iv_simulator.nblink - tutorials/tutorial_iv_classifier.nblink - tutorials/tutorial_iv_diode_extractor.nblink + tutorials/tutorial_text2time_module + tutorials/tutorial_textmodule + +.. nbgallery:: + :caption: Energy modelling tutorials: + + tutorials/tutorial_timeseries + tutorials/tutorial_AIT_timeseries + tutorials/tutorial_timeseries_sim + +.. nbgallery:: + :caption: IV tutorials: + + tutorials/tutorial_iv_simulator + tutorials/tutorial_iv_classifier + tutorials/tutorial_iv_diode_extractor diff --git a/docs/pages/tutorials/assets/diode_param_extractor.png b/docs/pages/tutorials/assets/diode_param_extractor.png new file mode 100644 index 0000000000000000000000000000000000000000..40def13bf8dc75711a1e7b281a0d5398eab38138 GIT binary patch literal 455046 zcmdSBXH-+));Fr60-|&QNvHuqdJ__=w1Cn?P(-9lQG)c|lwJcURYHw4rGxY$5C{U& zh0vu$x{=WP-S|J}dGC0ibME*1fw4#0%F0@E{>q$d6Y)@6?Z!3cYZoqDxN%=y<-pcs8EZDr3m49E@2e>4dz!3Ilcw0HCQ3RQ7)Ygzx!qX%&;d5+Eur9L5-~$&@v}3@ zU%9Cg$b0G1rO3;Q_qcf#?|tLFq}+F3O#SLN*tKV-C$A2p?*^R74aW5%h;>i z8!b*-9W9o2oB32vbtgiFGhUsG_J3VOsnp9w|Klt1>b-Q25SsttGv{yL3Z@6q{jbsf z4up~A=;-`!U#Ii`o3CS}K0O?3K^AfU??pTRnR;{!KN=q)p1+CPx5@CbKG<*wFtYAV ziPyaS{@V+&)c@<(C&4c1zu(R#LN!0k z%+mi1qLk+Szi08!)KCeszfvr_>(@$*GIp!-6GEhQ?PZpPXl{ca$zM(9o)ei<{F>~rdaEmc8l zX1wj{&Q6ciEPCm06PosBobibU)mzY6e6p#@>*j-B@k|S9kum={#0x`Ta!8uE{djEk z{qC56gYN>UM?CYOm)LF4Tyea}qi}2dNUAqQ6zzMmW-46j*}>l(WwM<^9Ia{oQdHi_ zjHe3NZ�gq%D82xC`kSYx?cB@jObf`so3%_m4{&e%Hq{<&wwPWcs-q`XAtXfJHeb z4kb5N`L0{C@yiezUFdEsUAZH9`#*+e9&=s@&X#NbSDM32a6Og(pCJ4l9j^xmeICu? z6*X155y{V;@6$0P8@rDafv9aLYB@c$8rG7szcgo+Y&<%D>&LPz!FNfdDuFlqj!XsajLdU*;xu^L;LQG-~9~S&`zcyG!@hhowe9n&2qzny*C*9-J3% zB>#u3WrY}w5}Io+FYPto=h9~H0{{|DcE@cpomUIf4x&R#6=;puMS# zkcjzo#(S8I){SF)?x;BK+#@)-++`UnSKV=OZt``5{ZY#T0MH7w($Xc(hpQEY=A$IH zQN#QQ)c!nUOKn8#e@&uGtn?P>_)s_}Ey>wFRsk8Dv^&u6)#ox1j^QtDtUv&erR6x~ zy;j^~Uo$;A|J-BR4R6VI^puW7N8x09H&$)QtChk;#3+Y`Rcgj_p#s?7zT37)((`0X zD@(Po{9gh=Q{dkWxJ7w-EZ#3$`8~^4QibGwZ%T@~Y>EiJqqFteTlRe*CYljIR6{s& zQO@0Wv{a4(n3hYUt_8w4iAQ#hTnlkIaE{m`Y$|^|N0kiVS7nH?=Uj;3+b1So_}y4l z9Dq9$RYge`FX8j$cM29cKX?Y3OEP->@+kSK zMMTB0w#=88+5jH2RiB9*>RA3E2sI$+L;?aUK!`F$uO6eBq0<=K!;y2O*79uJ>;$Rx>37eCv6(dQcL-NQPnY%qIQ~LEGr(+BUYd$Pav_YX`&nf^8BJ3eY9SwGr4qz{H5It zaOI?bnLXc=C1)fc8L}c$_kdhek4}vsWFq0v`q6XXl$5g*R!1`ad*4zh&FuWP(QJa5 z0AKek$?w(eDy;pZj;L5aoqa!EG!VBAc%aET5Q?kd=yhxfmx8ct>%;f?1vHKdf=9;i-F0kcas z?|vz@Z|13VWAR#y$CtHJYW!7S2ki6rdD8XWCtl|7er{zu{z(dX(sm5#=)52J?_JX* zJqE;$V3csPXWgGR3N@vFSY8%)4>M%vZ-UZ_h-g1w&x*x&8cA#b7C<=uQ7Np^wWo(` zX#{J49NEZI13u!Q_v8L&r7l=3oShQRk`#a({GU%C{!lG>xk+;0ro?pCH18BsxY8^C zg9C+Of2GrtPnm$AfpBca(t~)&|4nkDEdMhu@HEfApT2lUQrq$)F6D1V%)f0jJv$tW z|8fQR=s&>+Ob8bLuL+T>mpd^7zxyAfK*9W1j}g21(`X{VntQVWXI(R?wZP{0+%$Nu zE7ZI{?+g%4!uj4!0pthq!T!HTJxdAiGyiwcy`cx?ivptf&!5))m4inbf{$5&MM@5n zUF4|zn@PTl5Vn^`9UABPY9VcLj_&6h(L-Un-$p!MQfLuqIVR#eK@Q+?8M>B(?+)D! 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