From a2ec76312dec7293c64a03b812c7019641c8b1f9 Mon Sep 17 00:00:00 2001
From: Ivan Ruiz Manuel <72193617+irm-codebase@users.noreply.github.com>
Date: Fri, 3 Apr 2026 10:41:56 +0200
Subject: [PATCH 01/17] template update

---
 .copier-answers.yml                  |  8 +--
 .github/ISSUE_TEMPLATE/bug_report.md |  2 +-
 .github/ISSUE_TEMPLATE/config.yaml   |  5 ++
 .github/pull_request_template.md     | 11 +++-
 .github/workflows/check-version.yml  |  2 +-
 .github/workflows/pr-ci.yml          | 42 ++++++++++++--
 .github/workflows/release.yml        |  4 +-
 .pre-commit-config.yaml              |  3 +-
 LICENSE                              |  2 +-
 README.md                            | 53 +++++++++++++-----
 config/README.md                     | 15 +++--
 figures/.gitkeep                     |  1 +
 mypy.ini                             |  1 +
 pixi.lock                            | 37 ++++++------
 pixi.toml                            | 11 ++--
 tests/integration_test.py            | 84 ++++++++++++++++++++++++++++
 16 files changed, 220 insertions(+), 61 deletions(-)
 create mode 100644 .github/ISSUE_TEMPLATE/config.yaml
 create mode 100644 figures/.gitkeep
 create mode 100644 tests/integration_test.py

diff --git a/.copier-answers.yml b/.copier-answers.yml
index b2d2747..d629db3 100644
--- a/.copier-answers.yml
+++ b/.copier-answers.yml
@@ -1,13 +1,13 @@
 # Changes here will be overwritten by Copier
-# DO NOT MANUALLY MODIFY THIS FILE
+# !!!!! DO NOT MANUALLY MODIFY THIS FILE !!!!!
 _commit: latest
 _src_path: https://github.com/calliope-project/data-module-template.git
 author_email: i.ruizmanuel@tudelft.nl
 author_family_name: Ruiz Manuel
 author_given_name: Ivan
-github_org: calliope-project
+github_org: modelblocks-org
 license: Apache-2.0
 module_description: A module to calculate hydropower inflow timeseries for facilities
-    around the globe. Based on Euro-Calliope methods.
-module_long_name: clio - Hydropower module
+    around the globe, based on Euro-Calliope methods.
+module_long_name: Modelblocks - Hydropower module
 module_short_name: module_hydropower
diff --git a/.github/ISSUE_TEMPLATE/bug_report.md b/.github/ISSUE_TEMPLATE/bug_report.md
index cd94c32..1b66ddc 100644
--- a/.github/ISSUE_TEMPLATE/bug_report.md
+++ b/.github/ISSUE_TEMPLATE/bug_report.md
@@ -24,7 +24,7 @@ A clear and concise description of what you expected to happen.
 If applicable, add screenshots to help explain your problem.
 
 **Desktop (please complete the following information):**
- - OS: [e.g. Linux Fedora 41, Windows 10...]
+ - OS: [e.g. Linux Fedora 43, Windows 11...]
  - Version [e.g. v0.1.1]
 
 **Additional context**
diff --git a/.github/ISSUE_TEMPLATE/config.yaml b/.github/ISSUE_TEMPLATE/config.yaml
new file mode 100644
index 0000000..28da94d
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/config.yaml
@@ -0,0 +1,5 @@
+blank_issues_enabled: false
+contact_links:
+  - name: General information
+    url: https://www.modelblocks.org/
+    about: Please consult our website for general information on the Modelblocks methodology.
diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md
index 9610b97..400a69f 100644
--- a/.github/pull_request_template.md
+++ b/.github/pull_request_template.md
@@ -8,6 +8,11 @@ Fixes #
 
 ## Reviewer checklist
 
-* [ ] `INTERFACE.yaml` is up-to-date with all relevant user resources and results.
-* [ ] The integration example is up-to-date with a minimal use-case of the module.
-* [ ] Module documentation is up-to-date.
+* [ ] There are no `pip` dependencies in the module's environment files (`workflow/envs/`).
+* [ ] All rules use `pathvars` (e.g., `<results>`) in their inputs and outputs.
+* [ ] The integration test-suite is successful, including:
+    * [ ] `pre-commit.ci` tests pass.
+    * [ ] tests pass for all relevant OS configurations (linux, osx, windows).
+* [ ] Module documentation is up-to-date, including:
+    * [ ] `INTERFACE.yaml` mentions all relevant `pathvars` and `wildcards`.
+    * [ ] `README.md` describes how to use the module and has the necessary citations.
diff --git a/.github/workflows/check-version.yml b/.github/workflows/check-version.yml
index 8e57b32..0a4a602 100644
--- a/.github/workflows/check-version.yml
+++ b/.github/workflows/check-version.yml
@@ -6,4 +6,4 @@ on:
 
 jobs:
   copier-update:
-    uses: calliope-project/data-module-template/.github/workflows/template-check-version.yml@latest
+    uses: modelblocks-org/data-module-template/.github/workflows/template-check-version.yml@latest
diff --git a/.github/workflows/pr-ci.yml b/.github/workflows/pr-ci.yml
index fcae371..6290d3e 100644
--- a/.github/workflows/pr-ci.yml
+++ b/.github/workflows/pr-ci.yml
@@ -1,11 +1,43 @@
-name: CI
+# !!!!! DO NOT MODIFY UNLESS ABSOLUTELY NECESSARY !!!!!
+# This workflow helps standardise integration tests across data modules
+name: Pull Request CI tests for Modelblocks data modules
 on:
   pull_request:
     branches:
       - "main"
-
 jobs:
-  ci-tests:
-    uses: calliope-project/data-module-template/.github/workflows/template-pr-ci.yml@feature-ci-cdsapi
-    secrets:
+  build:
+    name: Build
+    runs-on: ${{ matrix.os }}
+    strategy:
+      fail-fast: false
+      matrix:
+        os: [ubuntu-latest, windows-latest, macos-latest]
+        python-version: ["3.12"]
+    env:
       CDSAPI_KEY: ${{ secrets.CDSAPI_KEY }}
+    steps:
+      - uses: actions/checkout@v4
+      - name: Setup pixi
+        uses: prefix-dev/setup-pixi@v0.8.3
+      - name: Run integration tests
+        id: tests
+        run: pixi run test-integration
+        continue-on-error: true
+      - name: Run snakemake linting
+        id: linting
+        run: |
+          pixi run snakemake --lint --snakefile workflow/Snakefile
+          pixi run snakemake --lint --snakefile tests/integration/Snakefile
+        continue-on-error: true
+      - name: Save integration logs
+        if: ${{ always() }}
+        uses: actions/upload-artifact@v4
+        with:
+          name: integration-test-logs-${{ matrix.os }}
+          path: tests/integration/results/integration_test/logs
+          if-no-files-found: ignore
+          retention-days: 30
+      - name: Fail if integration or linting failed
+        if: ${{ steps.tests.outcome == 'failure' || steps.linting.outcome == 'failure' }}
+        run: exit 1
diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml
index 32ab6f2..7e25226 100644
--- a/.github/workflows/release.yml
+++ b/.github/workflows/release.yml
@@ -6,4 +6,6 @@ on:
 
 jobs:
   release-workflow:
-    uses: calliope-project/data-module-template/.github/workflows/template-release.yml@latest
+    permissions:
+      contents: write
+    uses: modelblocks-org/data-module-template/.github/workflows/template-release.yml@latest
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 9ee8feb..a1ab502 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -12,6 +12,7 @@ repos:
       # Repo quality
       - id: check-added-large-files
         args: [--enforce-all --maxkb=600]
+        exclude: ^pixi\.lock$
       - id: forbid-submodules
       - id: check-case-conflict
       - id: check-illegal-windows-names
@@ -44,4 +45,4 @@ repos:
         files: .*\.(py|smk|md)$|^Snakefile$
 
 ci:  # https://pre-commit.ci/
-  autoupdate_schedule: monthly
+  autoupdate_schedule: quarterly
diff --git a/LICENSE b/LICENSE
index 01d12ec..3946dd7 100644
--- a/LICENSE
+++ b/LICENSE
@@ -186,7 +186,7 @@
       same "printed page" as the copyright notice for easier
       identification within third-party archives.
 
-   Copyright 2025 AUTHORS
+   Copyright 2026 AUTHORS
 
    Licensed under the Apache License, Version 2.0 (the "License");
    you may not use this file except in compliance with the License.
diff --git a/README.md b/README.md
index 387748f..aeeed98 100644
--- a/README.md
+++ b/README.md
@@ -1,21 +1,44 @@
-# clio - Hydropower module
+# Modelblocks - Hydropower module
 
-A module to calculate hydropower inflow timeseries for facilities around the globe. Based on Euro-Calliope methods.
+A module to calculate hydropower inflow timeseries for facilities around the globe, based on Euro-Calliope methods.
 
-A modular `snakemake` workflow built for [`clio`](https://clio.readthedocs.io/) data modules.
+<!-- Place an attractive image of module outputs here -->
 
-## Using this module
 
-This module can be imported directly into any `snakemake` workflow.
-Please consult the integration example in `tests/integration/Snakefile` for more information.
+## About
+<!-- Please do not modify this templated section -->
+
+This is a modular `snakemake` workflow created as part of the [Modelblocks project](https://www.modelblocks.org/). It can be imported directly into any `snakemake` workflow.
+
+For more information, please consult the Modelblocks [documentation](https://modelblocks.readthedocs.io/en/latest/),
+the [integration example](./tests/integration/Snakefile),
+and the `snakemake` [documentation](https://snakemake.readthedocs.io/en/stable/snakefiles/modularization.html).
+
+## Overview
+<!-- Please describe the processing stages of this module here -->
+
+Data processing steps:
+1.
+2.
+
+## Configuration
+<!-- Please describe how to configure this module below -->
+
+Please consult the configuration [README](./config/README.md) and the [configuration example](./config/config.yaml) for a general overview on the configuration options of this module.
+
+## Input / output structure
+<!-- Please describe input / output file placement below -->
+
+Please consult the [interface file](./INTERFACE.yaml) for more information.
 
 ## Development
+<!-- Please do not modify this templated section -->
 
 We use [`pixi`](https://pixi.sh/) as our package manager for development.
-Once installed, run the following to clone this repo and install all dependencies.
+Once installed, run the following to clone this repository and install all dependencies.
 
 ```shell
-git clone git@github.com:calliope-project/module_hydropower.git
+git clone git@github.com:modelblocks-org/module_hydropower.git
 cd module_hydropower
 pixi install --all
 ```
@@ -26,12 +49,6 @@ For testing, simply run:
 pixi run test-integration
 ```
 
-To view the documentation locally, use:
-
-```shell
-pixi run serve-docs
-```
-
 To test a minimal example of a workflow using this module:
 
 ```shell
@@ -39,3 +56,11 @@ pixi shell    # activate this project's environment
 cd tests/integration/  # navigate to the integration example
 snakemake --use-conda --cores 2  # run the workflow!
 ```
+
+## References
+<!-- Please provide thorough referencing below -->
+
+This module is based on the following research and datasets:
+
+*
+*
diff --git a/config/README.md b/config/README.md
index 2bd88fa..720820c 100644
--- a/config/README.md
+++ b/config/README.md
@@ -1,9 +1,8 @@
-# Configuration
+We recommend consulting the following before using this module:
+- `config/config.yaml`: a generic example configuration of this module.
+- `workflow/internal/config.schema.yaml`: a schematic overview of all the configuration options of this module.
+- `INTERFACE.yaml`: lists module input and output files, and their default locations.
+- `tests/integration/Snakefile`: an example of how to call this module from another workflow.
 
-This workflow is part of the [clio project](https://clio.readthedocs.io/en/latest/).
-Please consult our documentation for more details.
-Other useful resources are:
-
-- `INTERFACE.yaml`: user input files (placed in `resources/user`) and module output files (placed in `results`).
-- `workflow/internal/config.schema.yaml`: general configuration options.
-- `tests/integration/`: a simple example of how to use this module.
+This data module is part of the [Modelblocks](https://www.modelblocks.org/) project.
+Please consult the [Modelblocks documentation](https://modelblocks.readthedocs.io/) for more details.
diff --git a/figures/.gitkeep b/figures/.gitkeep
new file mode 100644
index 0000000..dcafcbe
--- /dev/null
+++ b/figures/.gitkeep
@@ -0,0 +1 @@
+# For module documentation figures
diff --git a/mypy.ini b/mypy.ini
index c7b2d53..6769a42 100644
--- a/mypy.ini
+++ b/mypy.ini
@@ -1,3 +1,4 @@
 [mypy]
 disable_error_code = import-untyped
 exclude = (^|/)\.(snakemake|pixi)(/|$)
+exclude_gitignore = True
diff --git a/pixi.lock b/pixi.lock
index e11f8d5..7613d87 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -4,6 +4,8 @@ environments:
     channels:
     - url: https://conda.anaconda.org/conda-forge/
     - url: https://conda.anaconda.org/bioconda/
+    options:
+      pypi-prerelease-mode: if-necessary-or-explicit
     packages:
       linux-64:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2
@@ -30,7 +32,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/cffi-1.17.1-py313hfab6e84_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.4.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/click-8.2.1-pyh707e725_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/clio-tools-2025.03.03-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/clio-tools-2026.03.30-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/coin-or-cbc-2.10.12-h4d16d09_4.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/coin-or-cgl-0.60.9-hc46dffc_6.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/coin-or-clp-1.17.10-hc03379b_3.conda
@@ -194,7 +196,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.21.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-tzdata-2025.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python_abi-3.13-8_cp313.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pytz-2025.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pytz-2026.1.post1-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/pyyaml-6.0.2-py313h8060acc_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/pyzmq-27.0.1-py313hb9b051e_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/readline-8.2-h8c095d6_2.conda
@@ -284,7 +286,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/cffi-1.17.1-py313hc845a76_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.4.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/click-8.2.1-pyh707e725_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/clio-tools-2025.03.03-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/clio-tools-2026.03.30-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/coin-or-cbc-2.10.12-h8ec3750_2.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/coin-or-cgl-0.60.9-h7ef17a8_4.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/coin-or-clp-1.17.10-h73553b4_1.conda
@@ -438,7 +440,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.21.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-tzdata-2025.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python_abi-3.13-8_cp313.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pytz-2025.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pytz-2026.1.post1-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/pyyaml-6.0.2-py313ha9b7d5b_2.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/pyzmq-27.0.1-py313h330de61_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/readline-8.2-h1d1bf99_2.conda
@@ -508,7 +510,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/win-64/cffi-1.17.1-py313ha7868ed_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.4.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/click-8.2.1-pyh7428d3b_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/clio-tools-2025.03.03-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/clio-tools-2026.03.30-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/coin-or-cbc-2.10.12-hd3ed8bd_4.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/coin-or-cgl-0.60.9-hacf86d0_6.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/coin-or-clp-1.17.10-h626fd10_3.conda
@@ -655,7 +657,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.21.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-tzdata-2025.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python_abi-3.13-8_cp313.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pytz-2025.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pytz-2026.1.post1-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/pywin32-311-py313h40c08fc_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/pyyaml-6.0.2-py313hb4c8b1a_2.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/pyzmq-27.0.1-py313h0c81aa5_0.conda
@@ -1202,9 +1204,9 @@ packages:
   license_family: BSD
   size: 88117
   timestamp: 1747811467132
-- conda: https://conda.anaconda.org/conda-forge/noarch/clio-tools-2025.03.03-pyhd8ed1ab_0.conda
-  sha256: aeefe88574384f212db396a6b16e2980daa298239bce51a096d22317c839d856
-  md5: 1eb44fb84e5eef6f73c491890ca0dd4b
+- conda: https://conda.anaconda.org/conda-forge/noarch/clio-tools-2026.03.30-pyhd8ed1ab_0.conda
+  sha256: a8b34e4bb8854ad899e461430fbabad81fa694805e45421bfe3e56da031d44ad
+  md5: 169bb144044321bb1cec1bfa4ea82a5b
   depends:
   - networkx >=3.4.2
   - numpy >=2.2.3
@@ -1216,8 +1218,8 @@ packages:
   - pyyaml >=6.0.2
   license: MIT
   license_family: MIT
-  size: 14536
-  timestamp: 1741282465165
+  size: 15754
+  timestamp: 1774882664468
 - conda: https://conda.anaconda.org/conda-forge/linux-64/coin-or-cbc-2.10.12-h4d16d09_4.conda
   sha256: f0d30355938591dbb45530f86484e0786b7eae0afdf1790ca3640cf0e7af6899
   md5: 603a1a18878030b5e6793ba558fac972
@@ -5655,15 +5657,16 @@ packages:
   license_family: BSD
   size: 7002
   timestamp: 1752805902938
-- conda: https://conda.anaconda.org/conda-forge/noarch/pytz-2025.2-pyhd8ed1ab_0.conda
-  sha256: 8d2a8bf110cc1fc3df6904091dead158ba3e614d8402a83e51ed3a8aa93cdeb0
-  md5: bc8e3267d44011051f2eb14d22fb0960
+- conda: https://conda.anaconda.org/conda-forge/noarch/pytz-2026.1.post1-pyhcf101f3_0.conda
+  sha256: d35c15c861d5635db1ba847a2e0e7de4c01994999602db1f82e41b5935a9578a
+  md5: f8a489f43a1342219a3a4d69cecc6b25
   depends:
-  - python >=3.9
+  - python >=3.10
+  - python
   license: MIT
   license_family: MIT
-  size: 189015
-  timestamp: 1742920947249
+  size: 201725
+  timestamp: 1773679724369
 - conda: https://conda.anaconda.org/conda-forge/win-64/pywin32-311-py313h40c08fc_0.conda
   sha256: b4f2d91fa6f291d8ea1eff17113c4d2774c796d14b330aeca0e42434c2dcbf88
   md5: c087068c22d8c7041174ea8c9e25cb26
diff --git a/pixi.toml b/pixi.toml
index e868b04..4148c79 100644
--- a/pixi.toml
+++ b/pixi.toml
@@ -1,15 +1,15 @@
-[project]
+[workspace]
 name = "module_hydropower"
 authors = ["See AUTHORS file"]
-description = "A module to calculate hydropower inflow timeseries for facilities around the globe. Based on Euro-Calliope methods."
+description = "A module to calculate hydropower inflow timeseries for facilities around the globe, based on Euro-Calliope methods."
 license = "Apache-2.0"
 readme = "README.md"
 channels = ["conda-forge", "bioconda"]
 platforms = ["win-64", "linux-64", "osx-arm64"]
-homepage = "https://clio.readthedocs.io/"
+homepage = "https://www.modelblocks.org/"
 
 [dependencies]
-clio-tools = ">=2025.03.03"
+clio-tools = ">=2026.03.30"
 conda = ">=25.0.0"
 ipdb = ">=0.13.13"
 ipykernel = ">=6.29.5"
@@ -20,6 +20,7 @@ python = ">=3.12"
 ruff = ">=0.9.9"
 snakefmt = ">=0.10.2"
 snakemake-minimal = ">=8.29.0"
+pytz = ">=2026.1.post1"
 
 [tasks]
-test-integration = {cmd = "pytest tests/clio_test.py"}
+test-integration = {cmd = "pytest tests/integration_test.py"}
diff --git a/tests/integration_test.py b/tests/integration_test.py
new file mode 100644
index 0000000..20f7cb8
--- /dev/null
+++ b/tests/integration_test.py
@@ -0,0 +1,84 @@
+"""Set of standard Modelblocks tests.
+
+PLEASE ENSURE THIS SET OF MINIMAL TESTS WORKS BEFORE PUBLISHING YOUR MODULE.
+Contents may be updated in future template updates.
+"""
+
+import os
+import shutil
+import subprocess
+from pathlib import Path
+
+import pytest
+from clio_tools.data_module import ModuleInterface
+
+CDSAPI_KEY = os.getenv("CDSAPI_KEY")
+CDS_FILE = Path.home().joinpath(".cdsapirc")
+
+
+@pytest.fixture(scope="module")
+def module_path():
+    """Parent directory of the project."""
+    return Path(__file__).parent.parent
+
+
+@pytest.fixture(scope="module")
+def integration_path(user_path: Path, module_path: Path):
+    """Ensures the minimal integration test is ready."""
+    integration_dir = Path(module_path / "tests/integration")
+    if integration_dir.exists():  # clean everything
+        shutil.rmtree(integration_dir / "results/", ignore_errors=True)
+    user_integ_dir = integration_dir / "results/integration_test/resources/user/"
+    files_to_copy = ["MNE/powerplants.parquet", "MNE/shapes.parquet"]
+    for file in files_to_copy:
+        destination_file = Path(user_integ_dir / file)
+        destination_file.parent.mkdir(parents=True, exist_ok=True)
+        shutil.copy(user_path / file, destination_file)
+    return integration_dir
+
+
+def test_interface_file(module_path):
+    """The interfacing file should be correct."""
+    assert ModuleInterface.from_yaml(module_path / "INTERFACE.yaml")
+
+
+@pytest.mark.parametrize(
+    "file",
+    [
+        "AUTHORS",
+        "CITATION.cff",
+        "INTERFACE.yaml",
+        "LICENSE",
+        "README.md",
+        "config/config.yaml",
+        "workflow/internal/config.schema.yaml",
+        "tests/integration/Snakefile",
+    ],
+)
+def test_standard_file_existance(module_path, file):
+    """Check that a minimal set of files used for documentation are present."""
+    assert Path(module_path / file).exists()
+
+
+def test_snakemake_all_failure(module_path):
+    """The snakemake 'all' rule should return an error by default."""
+    process = subprocess.run(
+        "snakemake --cores 1", shell=True, cwd=module_path, capture_output=True
+    )
+    assert "INVALID (missing locally)" in str(process.stderr)
+
+
+@pytest.mark.skipif(
+    not (CDSAPI_KEY or CDS_FILE.exists()),
+    reason="Neither CDSAPI_KEY env var nor ~/.cdsapirc file available.",
+)
+def test_snakemake_integration_testing(integration_path):
+    """Run a light-weight test simulating someone using this module."""
+    if CDSAPI_KEY and not CDS_FILE.exists():
+        CDS_FILE.write_text(
+            f"url: https://cds.climate.copernicus.eu/api\nkey: {CDSAPI_KEY}\n"
+        )
+
+    assert subprocess.run(
+        "snakemake --use-conda --cores 1", shell=True, check=True, cwd=integration_path
+    )

From 1553e684659e2d8faa6e70a889f12c99a24c0343 Mon Sep 17 00:00:00 2001
From: Ivan Ruiz Manuel <72193617+irm-codebase@users.noreply.github.com>
Date: Fri, 3 Apr 2026 10:58:23 +0200
Subject: [PATCH 02/17] update interface file

---
 INTERFACE.yaml | 53 +++++++++++++++++++++++++++++++++++++-------------
 1 file changed, 39 insertions(+), 14 deletions(-)

diff --git a/INTERFACE.yaml b/INTERFACE.yaml
index 161a999..5059c71 100644
--- a/INTERFACE.yaml
+++ b/INTERFACE.yaml
@@ -1,17 +1,42 @@
 # Module Input-Output structure for automated doc. generation
-resources:
-  user:
-    "{shapes}/powerplants.parquet": Powerplant statistics.
-    "{shapes}/shapes.parquet": Resolution shapes, used for capacity aggregation.
-results:
-  "{shapes}/statistics/generation.parquet": >
-    National hydropower generation statistics for the requested shapes.
-  "{shapes}/disaggregated/inflow_mwh.parquet": >
-    Inflow time series for each powerplant in MWh.
-    Only includes powerplants that fall within the provided shapes after buffering.
-  "{shapes}/aggregated/reservoir_cf.parquet": >
-    Capacity Factors of hydropower reservoirs aggregated to shapes.
-  "{shapes}/aggregated/run_of_river_cf.parquet": >
-    Capacity Factors of run of river plants aggregated to shapes.
+pathvars:
+  snakemake_defaults:
+    logs:
+      default: "<logs>"
+      description: location of rule log files.
+    resources:
+      default: "<resources>"
+      description: "location of module resource files."
+    results:
+      default: "<results>"
+      description: "location of module results."
+  user_resources:
+    shapes:
+      default: "<resources>/user/{shapes}/shapes.parquet"
+      description: |
+        Region-specific polygons to process during capacity aggregation.
+        See the schemas in `workflow/scripts/_schemas.py` for more information.
+    powerplants:
+      default: "<resources>/user/{shapes}/powerplants.parquet"
+      description: |
+        Powerplant statistics.
+        See the schemas in `workflow/scripts/_schemas.py` for more information.
+  results:
+    statistics:
+      default: "<results>/{shapes}/statistics/generation.parquet"
+      description: National hydropower generation statistics for the requested shapes.
+    disaggregated_inflow:
+      default: "<results>/{shapes}/disaggregated/inflow_mwh.parquet"
+      description: >
+        Inflow time series for each powerplant in MWh.
+        Only includes powerplants that fall within the provided shapes and buffer distance.
+    aggregated_reservoir_cf:
+      default: "<results>/{shapes}/aggregated/reservoir_cf.parquet"
+      description: >
+        Capacity Factors of hydropower reservoirs aggregated to shapes.
+    aggregated_ror_cf:
+      default: "<results>/{shapes}/aggregated/run_of_river_cf.parquet"
+      description: >
+        Capacity Factors of run of river plants aggregated to shapes.
 wildcards:
   shapes: name of the provided shapes case.

From eb906bb8a414faed08ac4295822a6ab8d1e17afc Mon Sep 17 00:00:00 2001
From: Ivan Ruiz Manuel <72193617+irm-codebase@users.noreply.github.com>
Date: Fri, 3 Apr 2026 12:38:18 +0200
Subject: [PATCH 03/17] use pathvars

---
 INTERFACE.yaml                                |    11 +-
 pixi.lock                                     | 14925 +++++++++++-----
 pixi.toml                                     |    18 +-
 workflow/Snakefile                            |    16 +-
 .../envs/{default.yaml => hydropower.yaml}    |     7 +-
 workflow/rules/automatic.smk                  |    21 +-
 workflow/rules/basins.smk                     |    18 +-
 workflow/rules/powerplants.smk                |    52 +-
 workflow/rules/statistics.smk                 |    12 +-
 9 files changed, 10642 insertions(+), 4438 deletions(-)
 rename workflow/envs/{default.yaml => hydropower.yaml} (77%)

diff --git a/INTERFACE.yaml b/INTERFACE.yaml
index 5059c71..d796491 100644
--- a/INTERFACE.yaml
+++ b/INTERFACE.yaml
@@ -30,13 +30,10 @@ pathvars:
       description: >
         Inflow time series for each powerplant in MWh.
         Only includes powerplants that fall within the provided shapes and buffer distance.
-    aggregated_reservoir_cf:
-      default: "<results>/{shapes}/aggregated/reservoir_cf.parquet"
+    aggregated_cf_timeseries:
+      default: "<results>/{shapes}/aggregated/{plant_type}_cf.parquet"
       description: >
-        Capacity Factors of hydropower reservoirs aggregated to shapes.
-    aggregated_ror_cf:
-      default: "<results>/{shapes}/aggregated/run_of_river_cf.parquet"
-      description: >
-        Capacity Factors of run of river plants aggregated to shapes.
+        Capacity factor (CF) timeseries of a hydropower plant type, aggregated to shapes.
 wildcards:
   shapes: name of the provided shapes case.
+  plant_type: Either 'run_of_river' or 'reservoir'.
diff --git a/pixi.lock b/pixi.lock
index 7613d87..a5c5324 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -8,766 +8,1593 @@ environments:
       pypi-prerelease-mode: if-necessary-or-explicit
     packages:
       linux-64:
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/adwaita-icon-theme-48.1-unix_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-20_gnu.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/_python_abi3_support-1.0-hd8ed1ab_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/adwaita-icon-theme-49.0-unix_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/amply-0.1.6-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/annotated-types-0.7.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/appdirs-1.4.4-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/archspec-0.2.5-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/argparse-dataclass-2.0.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/asttokens-3.0.0-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/argparse-dataclass-2.0.0-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/asttokens-3.0.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/at-spi2-atk-2.38.0-h0630a04_3.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/at-spi2-core-2.40.3-h0630a04_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/atk-1.0-2.38.0-h04ea711_2.conda
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-      - conda: https://conda.anaconda.org/conda-forge/linux-64/black-24.10.0-py313h78bf25f_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/attrs-26.1.0-pyhcf101f3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/backports.zstd-1.3.0-py313h18e8e13_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/black-26.3.1-pyh866005b_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/boltons-25.0.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.1.0-py313h46c70d0_3.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-h4bc722e_7.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.34.5-hb9d3cd8_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2025.8.3-hbd8a1cb_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cairo-1.18.4-h3394656_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/certifi-2025.8.3-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cffi-1.17.1-py313hfab6e84_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.4.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/click-8.2.1-pyh707e725_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.2.0-py313hf159716_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-hda65f42_9.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.34.6-hb03c661_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.2.25-hbd8a1cb_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cairo-1.18.4-he90730b_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/certifi-2026.2.25-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cffi-2.0.0-py313hf46b229_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.4.7-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/click-8.3.1-pyh8f84b5b_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/clio-tools-2026.03.30-pyhd8ed1ab_0.conda
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-      - conda: https://conda.anaconda.org/conda-forge/linux-64/conda-25.7.0-py313h78bf25f_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/conda-26.1.1-py313h78bf25f_0.conda
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-      - conda: https://conda.anaconda.org/conda-forge/noarch/conda-libmamba-solver-25.4.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/conda-libmamba-solver-25.11.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/conda-package-handling-2.4.0-pyh7900ff3_2.conda
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+      - conda: https://conda.anaconda.org/conda-forge/linux-64/frozendict-2.4.7-py313h07c4f96_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/gdk-pixbuf-2.44.6-h2b0a6b4_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/gitdb-4.0.12-pyhd8ed1ab_0.conda
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-      - conda: https://conda.anaconda.org/conda-forge/linux-64/gtk3-3.24.43-h0c6a113_5.conda
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   license_family: Apache
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-  md5: f7e6b65943cb73bce0143737fded08f1
+  size: 311150
+  timestamp: 1772476812121
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/zeromq-4.3.5-h4818236_10.conda
+  sha256: 2705360c72d4db8de34291493379ffd13b09fd594d0af20c9eefa8a3f060d868
+  md5: e85dcd3bde2b10081cdcaeae15797506
   depends:
   - __osx >=11.0
-  - krb5 >=1.21.3,<1.22.0a0
-  - libcxx >=18
-  - libsodium >=1.0.20,<1.0.21.0a0
+  - libcxx >=19
+  - krb5 >=1.22.2,<1.23.0a0
+  - libsodium >=1.0.21,<1.0.22.0a0
   license: MPL-2.0
   license_family: MOZILLA
-  size: 281565
-  timestamp: 1731585108039
-- conda: https://conda.anaconda.org/conda-forge/win-64/zeromq-4.3.5-ha9f60a1_7.conda
-  sha256: 15cc8e2162d0a33ffeb3f7b7c7883fd830c54a4b1be6a4b8c7ee1f4fef0088fb
-  md5: e03f2c245a5ee6055752465519363b1c
+  size: 245246
+  timestamp: 1772476886668
+- conda: https://conda.anaconda.org/conda-forge/win-64/zeromq-4.3.5-h507cc87_10.conda
+  sha256: b8568dfde46edf3455458912ea6ffb760e4456db8230a0cf34ecbc557d3c275f
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   depends:
-  - krb5 >=1.21.3,<1.22.0a0
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+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
   - ucrt >=10.0.20348.0
-  - vc >=14.2,<15
-  - vc14_runtime >=14.29.30139
+  - libsodium >=1.0.21,<1.0.22.0a0
+  - krb5 >=1.22.2,<1.23.0a0
   license: MPL-2.0
   license_family: MOZILLA
-  size: 2527503
-  timestamp: 1731585151036
-- conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.23.0-pyhd8ed1ab_0.conda
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-  md5: df5e78d904988eb55042c0c97446079f
+  size: 265665
+  timestamp: 1772476832995
+- conda: https://conda.anaconda.org/conda-forge/noarch/zict-3.0.0-pyhd8ed1ab_1.conda
+  sha256: 5488542dceeb9f2874e726646548ecc5608060934d6f9ceaa7c6a48c61f9cc8d
+  md5: e52c2ef711ccf31bb7f70ca87d144b9e
   depends:
   - python >=3.9
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 36341
+  timestamp: 1733261642963
+- conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.23.0-pyhcf101f3_1.conda
+  sha256: b4533f7d9efc976511a73ef7d4a2473406d7f4c750884be8e8620b0ce70f4dae
+  md5: 30cd29cb87d819caead4d55184c1d115
+  depends:
+  - python >=3.10
+  - python
   license: MIT
   license_family: MIT
-  size: 22963
-  timestamp: 1749421737203
-- conda: https://conda.anaconda.org/conda-forge/linux-64/zstandard-0.23.0-py313h536fd9c_2.conda
-  sha256: ea9c542ef78c9e3add38bf1032e8ca5d18703114db353f6fca5c498f923f8ab8
-  md5: a026ac7917310da90a98eac2c782723c
+  size: 24194
+  timestamp: 1764460141901
+- conda: https://conda.anaconda.org/conda-forge/linux-64/zlib-1.3.2-h25fd6f3_2.conda
+  sha256: 245c9ee8d688e23661b95e3c6dd7272ca936fabc03d423cdb3cdee1bbcf9f2f2
+  md5: c2a01a08fc991620a74b32420e97868a
+  depends:
+  - __glibc >=2.17,<3.0.a0
+  - libzlib 1.3.2 h25fd6f3_2
+  license: Zlib
+  license_family: Other
+  size: 95931
+  timestamp: 1774072620848
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/zlib-1.3.2-h8088a28_2.conda
+  sha256: 8dd2ac25f0ba714263aac5832d46985648f4bfb9b305b5021d702079badc08d2
+  md5: f1c0bce276210bed45a04949cfe8dc20
+  depends:
+  - __osx >=11.0
+  - libzlib 1.3.2 h8088a28_2
+  license: Zlib
+  license_family: Other
+  size: 81123
+  timestamp: 1774072974535
+- conda: https://conda.anaconda.org/conda-forge/win-64/zlib-1.3.2-hfd05255_2.conda
+  sha256: ef408f85f664a4b9c9dac3cb2e36154d9baa15a88984ea800e11060e0f2394a1
+  md5: 5187ecf958be3c39110fe691cbd6873e
+  depends:
+  - libzlib 1.3.2 hfd05255_2
+  - ucrt >=10.0.20348.0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  license: Zlib
+  license_family: Other
+  size: 850351
+  timestamp: 1774072891049
+- conda: https://conda.anaconda.org/conda-forge/linux-64/zlib-ng-2.3.3-hceb46e0_1.conda
+  sha256: ea4e50c465d70236408cb0bfe0115609fd14db1adcd8bd30d8918e0291f8a75f
+  md5: 2aadb0d17215603a82a2a6b0afd9a4cb
   depends:
   - __glibc >=2.17,<3.0.a0
+  - libgcc >=14
+  - libstdcxx >=14
+  license: Zlib
+  license_family: Other
+  size: 122618
+  timestamp: 1770167931827
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/zlib-ng-2.3.3-hed4e4f5_1.conda
+  sha256: a339606a6b224bb230ff3d711e801934f3b3844271df9720165e0353716580d4
+  md5: d99c2a23a31b0172e90f456f580b695e
+  depends:
+  - __osx >=11.0
+  - libcxx >=19
+  license: Zlib
+  license_family: Other
+  size: 94375
+  timestamp: 1770168363685
+- conda: https://conda.anaconda.org/conda-forge/win-64/zlib-ng-2.3.3-h0261ad2_1.conda
+  sha256: 71332532332d13b5dbe57074ddcf82ae711bdc132affa5a2982a29ffa06dc234
+  md5: 46a21c0a4e65f1a135251fc7c8663f83
+  depends:
+  - ucrt >=10.0.20348.0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  license: Zlib
+  license_family: Other
+  size: 124542
+  timestamp: 1770167984883
+- conda: https://conda.anaconda.org/conda-forge/linux-64/zstandard-0.25.0-py313h54dd161_1.conda
+  sha256: e6921de3669e1bbd5d050a3b771b46a887e7f4ffeb1ddd5e4d9fb01062a2f6e9
+  md5: 710d4663806d0f72b2fb414e936223b5
+  depends:
+  - python
   - cffi >=1.11
-  - libgcc >=13
-  - python >=3.13,<3.14.0a0
+  - zstd >=1.5.7,<1.5.8.0a0
+  - libgcc >=14
+  - __glibc >=2.17,<3.0.a0
   - python_abi 3.13.* *_cp313
+  - zstd >=1.5.7,<1.6.0a0
   license: BSD-3-Clause
   license_family: BSD
-  size: 736909
-  timestamp: 1745869790689
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/zstandard-0.23.0-py313h90d716c_2.conda
-  sha256: 70ed0c931f9cfad3e3a75a1faf557c5fc5bf638675c6afa2fb8673e4f88fb2c5
-  md5: 1f465c71f83bd92cfe9df941437dcd7c
+  size: 471496
+  timestamp: 1762512679097
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/zstandard-0.25.0-py313h9734d34_1.conda
+  sha256: c8525ae1a739db3c9b4f901d08fd7811402cf46b61ddf5d63419a3c533e02071
+  md5: 7ac13a947d4d9f57859993c06faf887b
   depends:
-  - __osx >=11.0
+  - python
   - cffi >=1.11
-  - python >=3.13,<3.14.0a0
-  - python >=3.13,<3.14.0a0 *_cp313
+  - zstd >=1.5.7,<1.5.8.0a0
+  - __osx >=11.0
+  - python 3.13.* *_cp313
+  - zstd >=1.5.7,<1.6.0a0
   - python_abi 3.13.* *_cp313
   license: BSD-3-Clause
   license_family: BSD
-  size: 536612
-  timestamp: 1745870248616
-- conda: https://conda.anaconda.org/conda-forge/win-64/zstandard-0.23.0-py313ha7868ed_2.conda
-  sha256: b7bfe264fe3810b1abfe7f80c0f21f470d7cc730ada7ce3b3d08a90cb871999c
-  md5: b4d967b4d695a2ba8554738b3649d754
+  size: 396449
+  timestamp: 1762512722894
+- conda: https://conda.anaconda.org/conda-forge/win-64/zstandard-0.25.0-py313h5fd188c_1.conda
+  sha256: 5f751687a64cf5a6d69ad79aa437f45d6cc388d9e887dcdecff9d3b08cf7fd87
+  md5: 46f6f9bb324a58a9b081bbc56ade37f2
   depends:
+  - python
   - cffi >=1.11
-  - python >=3.13,<3.14.0a0
-  - python_abi 3.13.* *_cp313
+  - zstd >=1.5.7,<1.5.8.0a0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
   - ucrt >=10.0.20348.0
-  - vc >=14.2,<15
-  - vc14_runtime >=14.29.30139
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  - ucrt >=10.0.20348.0
+  - python_abi 3.13.* *_cp313
+  - zstd >=1.5.7,<1.6.0a0
   license: BSD-3-Clause
   license_family: BSD
-  size: 449871
-  timestamp: 1745870298072
-- conda: https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.7-hb8e6e7a_2.conda
-  sha256: a4166e3d8ff4e35932510aaff7aa90772f84b4d07e9f6f83c614cba7ceefe0eb
-  md5: 6432cb5d4ac0046c3ac0a8a0f95842f9
+  size: 380854
+  timestamp: 1762512720226
+- conda: https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.7-hb78ec9c_6.conda
+  sha256: 68f0206ca6e98fea941e5717cec780ed2873ffabc0e1ed34428c061e2c6268c7
+  md5: 4a13eeac0b5c8e5b8ab496e6c4ddd829
   depends:
   - __glibc >=2.17,<3.0.a0
-  - libgcc >=13
-  - libstdcxx >=13
   - libzlib >=1.3.1,<2.0a0
   license: BSD-3-Clause
   license_family: BSD
-  size: 567578
-  timestamp: 1742433379869
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/zstd-1.5.7-h6491c7d_2.conda
-  sha256: 0d02046f57f7a1a3feae3e9d1aa2113788311f3cf37a3244c71e61a93177ba67
-  md5: e6f69c7bcccdefa417f056fa593b40f0
+  size: 601375
+  timestamp: 1764777111296
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/zstd-1.5.7-hbf9d68e_6.conda
+  sha256: 9485ba49e8f47d2b597dd399e88f4802e100851b27c21d7525625b0b4025a5d9
+  md5: ab136e4c34e97f34fb621d2592a393d8
   depends:
   - __osx >=11.0
   - libzlib >=1.3.1,<2.0a0
   license: BSD-3-Clause
   license_family: BSD
-  size: 399979
-  timestamp: 1742433432699
-- conda: https://conda.anaconda.org/conda-forge/win-64/zstd-1.5.7-hbeecb71_2.conda
-  sha256: bc64864377d809b904e877a98d0584f43836c9f2ef27d3d2a1421fa6eae7ca04
-  md5: 21f56217d6125fb30c3c3f10c786d751
+  size: 433413
+  timestamp: 1764777166076
+- conda: https://conda.anaconda.org/conda-forge/win-64/zstd-1.5.7-h534d264_6.conda
+  sha256: 368d8628424966fd8f9c8018326a9c779e06913dd39e646cf331226acc90e5b2
+  md5: 053b84beec00b71ea8ff7a4f84b55207
   depends:
-  - libzlib >=1.3.1,<2.0a0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
   - ucrt >=10.0.20348.0
-  - vc >=14.2,<15
-  - vc14_runtime >=14.29.30139
+  - libzlib >=1.3.1,<2.0a0
   license: BSD-3-Clause
   license_family: BSD
-  size: 354697
-  timestamp: 1742433568506
+  size: 388453
+  timestamp: 1764777142545
diff --git a/pixi.toml b/pixi.toml
index 4148c79..ef69eca 100644
--- a/pixi.toml
+++ b/pixi.toml
@@ -19,8 +19,24 @@ pytest = ">=8.3.5"
 python = ">=3.12"
 ruff = ">=0.9.9"
 snakefmt = ">=0.10.2"
-snakemake-minimal = ">=8.29.0"
+snakemake-minimal = ">=9.19.0"
 pytz = ">=2026.1.post1"
 
 [tasks]
 test-integration = {cmd = "pytest tests/integration_test.py"}
+
+[feature.hydropower]
+channels = ["conda-forge", "nodefaults"]
+
+[feature.hydropower.dependencies]
+atlite = "0.4.0.*"
+geopandas = "1.0.1.*"
+ipdb = "0.13.13.*"
+numpy = "2.2.4.*"
+pandas = "2.2.3.*"
+pandera-geopandas = "0.24.*"
+pyarrow = "19.0.1.*"
+scipy = "1.15.2.*"
+
+[environments]
+hydropower = { features = ["hydropower"], no-default-feature = true }
diff --git a/workflow/Snakefile b/workflow/Snakefile
index 6d6a754..e45a15f 100644
--- a/workflow/Snakefile
+++ b/workflow/Snakefile
@@ -2,7 +2,19 @@ import yaml
 
 from snakemake.utils import min_version, validate
 
-min_version("8.10")
+min_version("9.19")
+
+# !!!!! IMPORTANT !!!!!
+# Define pathvars for all user resource files and result files
+# This allows users to re-wire how the module is used in their workflow with ease.
+pathvars:
+    # User resources
+    shapes="<resources>/user/{shapes}/shapes.parquet",
+    powerplants="<resources>/user/{shapes}/powerplants.parquet",
+    # Module results
+    statistics="<results>/{shapes}/statistics/generation.parquet",
+    disaggregated_inflow="<results>/{shapes}/disaggregated/inflow_mwh.parquet",
+    aggregated_cf_timeseries="<results>/{shapes}/aggregated/{plant_type}_cf.parquet",
 
 
 # Load the example configuration. This will be overridden by users.
@@ -40,7 +52,7 @@ rule all:
     output:
         "INVALID",
     log:
-        stderr="logs/all.stderr",
+        stderr="<logs>/all.stderr",
     conda:
         "envs/shell.yaml"
     shell:
diff --git a/workflow/envs/default.yaml b/workflow/envs/hydropower.yaml
similarity index 77%
rename from workflow/envs/default.yaml
rename to workflow/envs/hydropower.yaml
index 25d7bcd..096a5cf 100644
--- a/workflow/envs/default.yaml
+++ b/workflow/envs/hydropower.yaml
@@ -1,7 +1,8 @@
-name: default
+name: hydropower
 channels:
-  - conda-forge
-  - nodefaults
+- conda-forge
+- bioconda
+- nodefaults
 dependencies:
   - atlite = 0.4.0
   - geopandas = 1.0.1
diff --git a/workflow/rules/automatic.smk b/workflow/rules/automatic.smk
index 8da013f..e9dedd3 100644
--- a/workflow/rules/automatic.smk
+++ b/workflow/rules/automatic.smk
@@ -7,9 +7,10 @@ rule download_eia:
     params:
         url=internal["resources"]["automatic"]["EIA"],
     output:
-        path="resources/automatic/downloads/EIA-INTL.txt",
+        path="<resources>/automatic/downloads/EIA-INTL.txt",
     log:
-        "logs/download_eia.log",
+        "<logs>/download_eia.log",
+    localrule: True
     conda:
         "../envs/shell.yaml"
     shell:
@@ -24,13 +25,14 @@ rule download_basin:
             continent=wc.continent
         ),
     output:
-        path=temp("resources/automatic/hydrobasin_{continent}.zip"),
+        path="<resources>/automatic/hydrobasin_{continent}.zip",
     wildcard_constraints:
         continent="|".join(internal["continent_codes"]),
     conda:
         "../envs/shell.yaml"
     log:
-        "logs/download_basin_{continent}.log",
+        "<logs>/download_basin_{continent}.log",
+    localrule: True
     shell:
         r'curl -fsSLo {output.path:q} "{params.url}"'
 
@@ -43,17 +45,18 @@ rule download_cutout:
         start_year=config["years"]["start"],
         end_year=config["years"]["end"],
     input:
-        shapes="resources/user/{shapes}/shapes.parquet",
+        shapes="<shapes>",
     output:
-        cutout="resources/automatic/{shapes}/cutout.nc",
+        cutout="<resources>/automatic/{shapes}/cutout.nc",
         plot=report(
-            "resources/automatic/{shapes}/cutout.png",
+            "<resources>/automatic/{shapes}/cutout.png",
             caption="../report/cutout.rst",
             category="Hydropower module",
         ),
     conda:
-        "../envs/default.yaml"
+        "../envs/hydropower.yaml"
     log:
-        "logs/{shapes}/download_cutout.log",
+        "<logs>/{shapes}/download_cutout.log",
+    localrule: True
     script:
         "../scripts/download_cutout.py"
diff --git a/workflow/rules/basins.smk b/workflow/rules/basins.smk
index 1348d93..13cc390 100644
--- a/workflow/rules/basins.smk
+++ b/workflow/rules/basins.smk
@@ -8,16 +8,16 @@ rule basins_extract_pfafstetter_level:
         level=lambda wc: wc.level,
         continent=lambda wc: wc.continent,
     input:
-        zip_file="resources/automatic/hydrobasin_{continent}.zip",
+        zip_file="<resources>/automatic/hydrobasin_{continent}.zip",
     output:
-        parquet_file=temp("resources/automatic/hydrobasin_{continent}_{level}.parquet"),
+        parquet_file=temp("<resources>/automatic/hydrobasin_{continent}_{level}.parquet"),
     wildcard_constraints:
         continent="|".join(internal["continent_codes"]),
         level="|".join(internal["pfafstetter_level_codes"]),
     conda:
-        "../envs/default.yaml"
+        "../envs/hydropower.yaml"
     log:
-        "logs/basins_extract_pfafstetter_level_{continent}_{level}.log",
+        "<logs>/basins_extract_pfafstetter_level_{continent}_{level}.log",
     script:
         "../scripts/basins_extract_pfafstetter_level.py"
 
@@ -27,19 +27,19 @@ rule basins_combine_continents:
         "Combine all HydroBASINS into a single dataset for Pfafstetter level '{wildcards.level}'."
     input:
         continent_files=expand(
-            "resources/automatic/hydrobasin_{continent}_{{level}}.parquet",
+            "<resources>/automatic/hydrobasin_{continent}_{{level}}.parquet",
             continent=internal["continent_codes"],
         ),
     output:
-        global_file="resources/automatic/hydrobasin_global_{level}.parquet",
+        global_file="<resources>/automatic/hydrobasin_global_{level}.parquet",
         plot=report(
-            "resources/automatic/hydrobasin_global_{level}.png",
+            "<resources>/automatic/hydrobasin_global_{level}.png",
             caption="../report/basins.rst",
             category="Hydropower module",
         ),
     conda:
-        "../envs/default.yaml"
+        "../envs/hydropower.yaml"
     log:
-        "logs/basins_combine_continents_{level}.log",
+        "<logs>/basins_combine_continents_{level}.log",
     script:
         "../scripts/basins_combine_continents.py"
diff --git a/workflow/rules/powerplants.smk b/workflow/rules/powerplants.smk
index cb55c8e..a46fb0d 100644
--- a/workflow/rules/powerplants.smk
+++ b/workflow/rules/powerplants.smk
@@ -8,20 +8,20 @@ rule powerplants_adjust_location:
         crs=config["crs"],
         basin_adjustment=config["powerplants"]["basin_adjustment"],
     input:
-        basins=f"resources/automatic/hydrobasin_global_{config["pfafstetter_level"]}.parquet",
-        powerplants="resources/user/{shapes}/powerplants.parquet",
-        shapes="resources/user/{shapes}/shapes.parquet",
+        basins=f"<resources>/automatic/hydrobasin_global_{config["pfafstetter_level"]}.parquet",
+        powerplants="<powerplants>",
+        shapes="<shapes>",
     output:
-        adjusted_powerplants="resources/automatic/{shapes}/adjusted_powerplants.parquet",
+        adjusted_powerplants="<resources>/automatic/{shapes}/adjusted_powerplants.parquet",
         plot=report(
-            "resources/automatic/{shapes}/adjusted_powerplants.png",
+            "<resources>/automatic/{shapes}/adjusted_powerplants.png",
             caption="../report/adjustment.rst",
             category="Hydropower module",
         ),
     log:
-        "logs/{shapes}/powerplants_adjust_location.log",
+        "<logs>/{shapes}/powerplants_adjust_location.log",
     conda:
-        "../envs/default.yaml"
+        "../envs/hydropower.yaml"
     script:
         "../scripts/powerplants_adjust_location.py"
 
@@ -32,16 +32,16 @@ rule powerplants_get_inflow_m3:
     params:
         smoothing_hours=config["smoothing_hours"],
     input:
-        adjusted_powerplants="resources/automatic/{shapes}/adjusted_powerplants.parquet",
-        basins=f"resources/automatic/hydrobasin_global_{config["pfafstetter_level"]}.parquet",
-        shapes="resources/user/{shapes}/shapes.parquet",
-        cutout="resources/automatic/{shapes}/cutout.nc",
+        adjusted_powerplants="<resources>/automatic/{shapes}/adjusted_powerplants.parquet",
+        basins=f"<resources>/automatic/hydrobasin_global_{config["pfafstetter_level"]}.parquet",
+        shapes="<shapes>",
+        cutout="<resources>/automatic/{shapes}/cutout.nc",
     output:
-        inflow="resources/automatic/{shapes}/disaggregated/inflow_m3.parquet",
+        inflow="<resources>/automatic/{shapes}/disaggregated/inflow_m3.parquet",
     log:
-        "logs/{shapes}/powerplants_get_inflow_m3.log",
+        "<logs>/{shapes}/powerplants_get_inflow_m3.log",
     conda:
-        "../envs/default.yaml"
+        "../envs/hydropower.yaml"
     script:
         "../scripts/powerplants_get_inflow_m3.py"
 
@@ -53,15 +53,15 @@ rule powerplants_get_inflow_mwh:
         capacity_factor_range=internal["capacity_factor_range"],
         technology_mapping=config["powerplants"]["technology_mapping"],
     input:
-        inflow_m3="resources/automatic/{shapes}/disaggregated/inflow_m3.parquet",
-        adjusted_powerplants="resources/automatic/{shapes}/adjusted_powerplants.parquet",
-        statistics="results/{shapes}/statistics/generation.parquet",
+        inflow_m3="<resources>/automatic/{shapes}/disaggregated/inflow_m3.parquet",
+        adjusted_powerplants="<resources>/automatic/{shapes}/adjusted_powerplants.parquet",
+        statistics="<statistics>",
     output:
-        inflow_mwh="results/{shapes}/disaggregated/inflow_mwh.parquet",
+        inflow_mwh="<disaggregated_inflow>",
     log:
-        "logs/{shapes}/powerplants_get_inflow_mwh.log",
+        "<logs>/{shapes}/powerplants_get_inflow_mwh.log",
     conda:
-        "../envs/default.yaml"
+        "../envs/hydropower.yaml"
     script:
         "../scripts/powerplants_get_inflow_mwh.py"
 
@@ -72,20 +72,20 @@ rule powerplants_get_cf_per_shape:
     params:
         technology_mapping=config["powerplants"]["technology_mapping"],
     input:
-        adjusted_powerplants="resources/automatic/{shapes}/adjusted_powerplants.parquet",
-        inflow_mwh="results/{shapes}/disaggregated/inflow_mwh.parquet",
+        adjusted_powerplants="<resources>/automatic/{shapes}/adjusted_powerplants.parquet",
+        inflow_mwh="<disaggregated_inflow>",
     output:
-        timeseries="results/{shapes}/aggregated/{plant_type}_cf.parquet",
+        timeseries="<aggregated_cf_timeseries>",
         figure=report(
-            "results/{shapes}/aggregated/{plant_type}_cf.pdf",
+            "<results>/{shapes}/aggregated/{plant_type}_cf.pdf",
             caption="../report/cf_per_shape.rst",
             category="Hydropower module",
         ),
     wildcard_constraints:
         plant_type="|".join(["run_of_river", "reservoir"]),
     log:
-        "logs/{shapes}/powerplants_get_cf_per_shape_{plant_type}.log",
+        "<logs>/{shapes}/powerplants_get_cf_per_shape_{plant_type}.log",
     conda:
-        "../envs/default.yaml"
+        "../envs/hydropower.yaml"
     script:
         "../scripts/powerplants_get_cf_per_shape.py"
diff --git a/workflow/rules/statistics.smk b/workflow/rules/statistics.smk
index b8fc8fd..9ff1ab0 100644
--- a/workflow/rules/statistics.smk
+++ b/workflow/rules/statistics.smk
@@ -7,14 +7,14 @@ rule prepare_statistics:
     params:
         years=config["years"],
     input:
-        shapes="resources/user/{shapes}/shapes.parquet",
-        eia_bulk="resources/automatic/downloads/EIA-INTL.txt",
+        shapes="<shapes>",
+        eia_bulk="<resources>/automatic/downloads/EIA-INTL.txt",
     output:
-        generation="results/{shapes}/statistics/generation.parquet",
-        plot="results/{shapes}/statistics/generation.pdf",
+        generation="<statistics>",
+        plot="<results>/{shapes}/statistics/generation.pdf",
     log:
-        "logs/{shapes}/prepare_statistics.log",
+        "<logs>/{shapes}/prepare_statistics.log",
     conda:
-        "../envs/default.yaml"
+        "../envs/hydropower.yaml"
     script:
         "../scripts/prepare_statistics.py"

From 1096fa18a7233427dcb3cd3a003a34ccdee5a9b6 Mon Sep 17 00:00:00 2001
From: Ivan Ruiz Manuel <72193617+irm-codebase@users.noreply.github.com>
Date: Fri, 3 Apr 2026 13:12:36 +0200
Subject: [PATCH 04/17] update integration test

---
 tests/clio_test.py                 | 81 ------------------------------
 tests/integration/Snakefile        | 19 +++++--
 tests/integration/test_config.yaml |  2 +
 tests/integration_test.py          |  3 +-
 4 files changed, 19 insertions(+), 86 deletions(-)
 delete mode 100644 tests/clio_test.py

diff --git a/tests/clio_test.py b/tests/clio_test.py
deleted file mode 100644
index 6a5ae97..0000000
--- a/tests/clio_test.py
+++ /dev/null
@@ -1,81 +0,0 @@
-"""Set of standard clio tests.
-
-DO NOT MANUALLY MODIFY THIS FILE!
-It should be updated through our templating functions.
-"""
-
-import os
-import shutil
-import subprocess
-from pathlib import Path
-
-import pytest
-from clio_tools.data_module import ModuleInterface
-
-CDSAPI_KEY = os.getenv("CDSAPI_KEY")
-CDS_FILE = Path.home().joinpath(".cdsapirc")
-
-
-@pytest.fixture(scope="module")
-def module_path():
-    """Parent directory of the project."""
-    return Path(__file__).parent.parent
-
-
-@pytest.fixture(scope="module")
-def integration_path(user_path: Path, module_path: Path):
-    """Ensures the minimal integration test is ready."""
-    integration_dir = Path(module_path / "tests/integration")
-    if integration_dir.exists():  # clean everything
-        shutil.rmtree(integration_dir / "results/", ignore_errors=True)
-    user_integ_dir = integration_dir / "results/integration_test/resources/user/"
-    files_to_copy = ["MNE/powerplants.parquet", "MNE/shapes.parquet"]
-    for file in files_to_copy:
-        destination_file = Path(user_integ_dir / file)
-        destination_file.parent.mkdir(parents=True, exist_ok=True)
-        shutil.copy(user_path / file, destination_file)
-    return integration_dir
-
-
-def test_interface_file(module_path):
-    """The interfacing file should be correct."""
-    assert ModuleInterface.from_yaml(module_path / "INTERFACE.yaml")
-
-
-@pytest.mark.parametrize(
-    "file",
-    [
-        "CITATION.cff",
-        "AUTHORS",
-        "INTERFACE.yaml",
-        "LICENSE",
-        "tests/integration/Snakefile",
-    ],
-)
-def test_standard_file_existance(module_path, file):
-    """Check that a minimal set of files used for clio automatic docs are present."""
-    assert Path(module_path / file).exists()
-
-
-def test_snakemake_all_failure(module_path):
-    """The snakemake 'all' rule should return an error by default."""
-    process = subprocess.run(
-        "snakemake --cores 1", shell=True, cwd=module_path, capture_output=True
-    )
-    assert "INVALID (missing locally)" in str(process.stderr)
-
-
-@pytest.mark.skipif(
-    not (CDSAPI_KEY or CDS_FILE.exists()),
-    reason="Neither CDSAPI_KEY env var nor ~/.cdsapirc file available.",
-)
-def test_snakemake_integration_testing(integration_path):
-    """Run a light-weight test simulating someone using this module."""
-    if CDSAPI_KEY and not CDS_FILE.exists():
-        CDS_FILE.write_text(
-            f"url: https://cds.climate.copernicus.eu/api\nkey: {CDSAPI_KEY}\n"
-        )
-
-    assert subprocess.run(
-        "snakemake --use-conda --cores 1", shell=True, check=True, cwd=integration_path
-    )
diff --git a/tests/integration/Snakefile b/tests/integration/Snakefile
index ab10a26..fbc71c2 100644
--- a/tests/integration/Snakefile
+++ b/tests/integration/Snakefile
@@ -4,18 +4,30 @@ configfile: workflow.source_path("./test_config.yaml")
 
 # Import the module and configure it.
 # `snakefile:` specifies the module. It can use file paths and special github(...) / gitlab(...) markers
+# `config`: specifies the module configuration.
+# `pathvars:` helps you re-wire where the module places files.
 module module_hydropower:
     snakefile:
         "../../workflow/Snakefile"
     config:
         config["module_hydropower"]
-    prefix:
-        "results/integration_test/"
+    pathvars:
+        # Redirect specific user resources (inputs)
+        shapes="resources/inputs/{shapes}/shapes.parquet",
+        powerplants="resources/inputs/{shapes}/powerplants.parquet",
+        # Redirect specific module results (outputs)
+        aggregated_cf_timeseries="results/outputs/{shapes}/{plant_type}_cf.parquet",
+        # Redirect module intermediate files
+        logs="resources/hydropower/logs",
+        resources="resources/hydropower/resources",
+        results="resources/hydropower/results",
 
 
 # rename all module rules with a prefix, to avoid naming conflicts.
 use rule * from module_hydropower as module_hydropower_*
 
+PLANTS=["run_of_river", "reservoir"]
+SHAPES=["MNE"]
 
 # Request something from the module
 rule all:
@@ -23,5 +35,4 @@ rule all:
         "Generate CF timeseries for a small country."
     default_target: True
     input:
-        "results/integration_test/results/MNE/aggregated/reservoir_cf.parquet",
-        "results/integration_test/results/MNE/aggregated/run_of_river_cf.parquet",
+        expand("results/outputs/{shapes}/{plant_type}_cf.parquet", shapes=SHAPES, plant_type=PLANTS),
diff --git a/tests/integration/test_config.yaml b/tests/integration/test_config.yaml
index 8f85b4f..f553b01 100644
--- a/tests/integration/test_config.yaml
+++ b/tests/integration/test_config.yaml
@@ -1,3 +1,5 @@
+# A lightweight configuration.
+# Designed to minimise timeouts during automated testing on Github
 module_hydropower:
   pfafstetter_level: "01"  # Use an extremely coarse basin resolution
   years:
diff --git a/tests/integration_test.py b/tests/integration_test.py
index 20f7cb8..20a5223 100644
--- a/tests/integration_test.py
+++ b/tests/integration_test.py
@@ -27,8 +27,9 @@ def integration_path(user_path: Path, module_path: Path):
     """Ensures the minimal integration test is ready."""
     integration_dir = Path(module_path / "tests/integration")
     if integration_dir.exists():  # clean everything
+        shutil.rmtree(integration_dir / "resources/", ignore_errors=True)
         shutil.rmtree(integration_dir / "results/", ignore_errors=True)
-    user_integ_dir = integration_dir / "results/integration_test/resources/user/"
+    user_integ_dir = integration_dir / "resources/inputs/"
     files_to_copy = ["MNE/powerplants.parquet", "MNE/shapes.parquet"]
     for file in files_to_copy:
         destination_file = Path(user_integ_dir / file)

From 3542065bd5238d56898c3cd77ca2e97694b63032 Mon Sep 17 00:00:00 2001
From: Ivan Ruiz Manuel <72193617+irm-codebase@users.noreply.github.com>
Date: Fri, 3 Apr 2026 14:42:16 +0200
Subject: [PATCH 05/17] ploting improvements

---
 workflow/scripts/basins_combine_continents.py |  6 +-
 workflow/scripts/download_cutout.py           | 19 +++--
 .../scripts/powerplants_adjust_location.py    |  9 +-
 .../scripts/powerplants_get_cf_per_shape.py   | 34 +++++---
 workflow/scripts/prepare_statistics.py        | 82 +++++++++++--------
 5 files changed, 92 insertions(+), 58 deletions(-)

diff --git a/workflow/scripts/basins_combine_continents.py b/workflow/scripts/basins_combine_continents.py
index 4a717ba..e87356c 100644
--- a/workflow/scripts/basins_combine_continents.py
+++ b/workflow/scripts/basins_combine_continents.py
@@ -9,16 +9,15 @@
 
 if TYPE_CHECKING:
     snakemake: Any
-sys.stderr = open(snakemake.log[0], "w", buffering=1)
 
 
 def _plot_combined_basins(global_file, level, path):
     combined = gpd.read_parquet(global_file)
-    ax = combined.plot(figsize=(20, 12))
+    ax = combined.plot(figsize=(10, 6))
     ax.set_title(f"Global hydro basins at Pfafstetter level {level}")
     ax.set_xlabel("longitude")
     ax.set_ylabel("latitude")
-    plt.savefig(path, bbox_inches="tight")
+    plt.savefig(path, dpi=200, bbox_inches="tight")
 
 
 def basins_combine_continents(continent_files, global_file):
@@ -35,6 +34,7 @@ def basins_combine_continents(continent_files, global_file):
 
 
 if __name__ == "__main__":
+    sys.stderr = open(snakemake.log[0], "w", buffering=1)
     basins_combine_continents(
         continent_files=snakemake.input.continent_files,
         global_file=snakemake.output.global_file,
diff --git a/workflow/scripts/download_cutout.py b/workflow/scripts/download_cutout.py
index 2ce8e67..b9abe20 100644
--- a/workflow/scripts/download_cutout.py
+++ b/workflow/scripts/download_cutout.py
@@ -7,19 +7,25 @@
 import geopandas as gpd
 import matplotlib.pyplot as plt
 from pyproj import CRS
+from shapely.geometry import box
 
 if TYPE_CHECKING:
     snakemake: Any
-sys.stderr = open(snakemake.log[0], "w", buffering=1)
 
 
 def _plot_cutout(shapes_file: str, cutout_file: str, era5_crs: str, path: str):
     cutout = atlite.Cutout(cutout_file)
-    shapes = gpd.read_parquet(shapes_file)
-    ax = shapes.to_crs(era5_crs).plot(figsize=(10, 10))
-    cutout.grid.plot(ax=ax, edgecolor="grey", color="None")
-    ax.set_title("ERA5 cutout")
-    plt.savefig(path, bbox_inches="tight")
+    shapes = gpd.read_parquet(shapes_file).to_crs(era5_crs)
+
+    fig, ax = plt.subplots(layout="constrained")
+    shapes.boundary.plot(ax=ax, color="black")
+    gpd.GeoSeries([box(*cutout.bounds)], crs=era5_crs).boundary.plot(
+        ax=ax, color="red", linewidth=1
+    )
+
+    ax.set(title="ERA5 cutout", xticks=[], yticks=[], xlabel="", ylabel="")
+    fig.savefig(path, dpi=200, bbox_inches="tight", pad_inches="layout")
+    plt.close(fig)
 
 
 def runoff_cutout(input_shapes, era5_crs, start_year, end_year, output_netcdf):
@@ -43,6 +49,7 @@ def runoff_cutout(input_shapes, era5_crs, start_year, end_year, output_netcdf):
 
 
 if __name__ == "__main__":
+    sys.stderr = open(snakemake.log[0], "w", buffering=1)
     runoff_cutout(
         input_shapes=snakemake.input.shapes,
         era5_crs=snakemake.params.era5_crs,
diff --git a/workflow/scripts/powerplants_adjust_location.py b/workflow/scripts/powerplants_adjust_location.py
index 9d30640..122b562 100644
--- a/workflow/scripts/powerplants_adjust_location.py
+++ b/workflow/scripts/powerplants_adjust_location.py
@@ -11,7 +11,6 @@
 
 if TYPE_CHECKING:
     snakemake: Any
-sys.stderr = open(snakemake.log[0], "w", buffering=1)
 
 
 def _plot_adjustment(
@@ -26,14 +25,15 @@ def _plot_adjustment(
     after = gpd.read_parquet(adjusted_powerplants_path).to_crs(crs["projected"])
     difference = before[~before["powerplant_id"].isin(after["powerplant_id"])]
 
-    fig, ax = plt.subplots(figsize=(10, 10), layout="constrained")
-    ax = shapes.plot(ax=ax, color="royalblue")
+    fig, ax = plt.subplots(layout="constrained")
+    ax = shapes.plot(column="shape_class", ax=ax)
     after.plot(ax=ax, color="black", marker=".", markersize=8, label="Within")
     if not difference.empty:
         difference.plot(ax=ax, color="coral", marker=".", markersize=8, label="Dropped")
+    ax.set(xticks=[], yticks=[], xlabel="", ylabel="")
     ax.legend()
     ax.set_title("Powerplant adjustment")
-    fig.savefig(plot_path)
+    fig.savefig(plot_path, dpi=200, bbox_inches="tight")
 
 
 def powerplants_adjust_location(
@@ -131,6 +131,7 @@ def powerplants_adjust_location(
 
 
 if __name__ == "__main__":
+    sys.stderr = open(snakemake.log[0], "w", buffering=1)
     powerplants_adjust_location(
         basins_path=snakemake.input.basins,
         powerplants_path=snakemake.input.powerplants,
diff --git a/workflow/scripts/powerplants_get_cf_per_shape.py b/workflow/scripts/powerplants_get_cf_per_shape.py
index 36da51e..cf0f33b 100644
--- a/workflow/scripts/powerplants_get_cf_per_shape.py
+++ b/workflow/scripts/powerplants_get_cf_per_shape.py
@@ -12,30 +12,41 @@
 
 if TYPE_CHECKING:
     snakemake: Any
-sys.stderr = open(snakemake.log[0], "w", buffering=1)
 
 
 def _plot_cf_per_shape(cf_file: str, plant_type: str, fig_path: str):
+    """Plot a time series for every shape."""
     data = pd.read_parquet(cf_file)
 
     n = max(1, len(data.columns))
-    fig, axes = plt.subplots(n, 1, figsize=(10, 1.5 * n), squeeze=False)
+    row_height = 1.6
+    fig_height = max(3.0, 1.0 + n * row_height)
+
+    fig, axes = plt.subplots(
+        nrows=n, ncols=1, figsize=(10, fig_height), squeeze=False, layout="constrained"
+    )
     axes = axes.ravel()
 
+    fig.suptitle(f"Inflow capacity factors {plant_type}", fontsize="x-large")
+
     if data.empty:
         _plots.draw_empty(axes[0], f"Inflow capacity factors {plant_type}")
     else:
-        for idx, shape_id in enumerate(data.columns):
-            if data[shape_id].dropna().empty:
-                _plots.draw_empty(axes[idx], str(shape_id))
+        for ax, shape_id in zip(axes, data.columns):
+            series = data[shape_id].dropna()
+
+            if series.empty:
+                _plots.draw_empty(ax, str(shape_id))
             else:
-                data[shape_id].plot(ax=axes[idx])
-                axes[idx].set_title(str(shape_id))
-                axes[idx].set_xlabel("")
+                ax.plot(data.index, data[shape_id])
+                ax.set_title(
+                    str(shape_id), loc="left", fontsize="medium", fontweight="bold"
+                )
+                ax.margins(x=0)
 
-    fig.suptitle(f"Inflow capacity factors {plant_type}", fontsize="x-large")
-    fig.tight_layout(rect=(0, 0, 1, 0.96))
-    fig.savefig(fig_path, bbox_inches="tight")
+            ax.set_xlabel("")
+
+    fig.savefig(fig_path, bbox_inches="tight", pad_inches="layout")
     plt.close(fig)
 
 
@@ -99,6 +110,7 @@ def powerplants_get_cf_per_shape(
 
 
 if __name__ == "__main__":
+    sys.stderr = open(snakemake.log[0], "w", buffering=1)
     powerplants_get_cf_per_shape(
         powerplants_file=snakemake.input.adjusted_powerplants,
         inflow_mwh_file=snakemake.input.inflow_mwh,
diff --git a/workflow/scripts/prepare_statistics.py b/workflow/scripts/prepare_statistics.py
index 498fe7e..2cd61c0 100644
--- a/workflow/scripts/prepare_statistics.py
+++ b/workflow/scripts/prepare_statistics.py
@@ -13,7 +13,6 @@
 
 if TYPE_CHECKING:
     snakemake: Any
-sys.stderr = open(snakemake.log[0], "w", buffering=1)
 
 CAT_ID = {
     "hydropower": 33
@@ -87,63 +86,78 @@ def prepare(
 
 
 def plot(
-    input_generation: str, output_plot: str, figsize: tuple[float, float] = (12, 6)
+    input_generation: str,
+    output_plot: str,
+    *,
+    min_fig_width: float = 5,
+    width_per_year: float = 0.35,
+    row_height: float = 3.0,
+    base_height: float = 0.8,
+    x_tick_rotation: float = 45,
+    legend_anchor_x: float = 1.02,
 ):
     """Plot per-country evolution of hydropower generation over time."""
     df_cats = pd.read_parquet(input_generation)
 
-    countries = set(df_cats["country_id"].unique())
-    n_countries = len(countries)
+    countries = sorted(df_cats["country_id"].dropna().unique())
+    years = sorted(df_cats["year"].dropna().unique())
+
+    n_countries = max(1, len(countries))
+    n_years = max(1, len(years))
+
+    fig_width = max(min_fig_width, width_per_year * n_years)
+    fig_height = base_height + row_height * n_countries
 
     fig, axes = plt.subplots(
         nrows=n_countries,
         ncols=1,
-        figsize=(figsize[0], figsize[1] * n_countries),
-        sharex=False,
-        tight_layout=True,
+        figsize=(fig_width, fig_height),
+        squeeze=False,
+        layout="constrained",
     )
-    if n_countries == 1:
-        axes = [axes]
-
-    for ax, country in zip(axes, sorted(countries)):
-        cats = df_cats[df_cats["country_id"] == country]
-
-        if cats.empty:
-            _plots.draw_empty(ax, country)
-
-        else:
-            pivot = (
-                cats.pivot_table(
-                    index="year",
-                    columns="category",
-                    values="generation_mwh",
-                    aggfunc="sum",
-                )
-                .fillna(0)
-                .sort_index()
-            )
-            _ = pivot.plot(kind="bar", stacked=True, ax=ax, legend=False, zorder=1)
+    axes = axes.ravel()
+
+    if not countries:
+        _plots.draw_empty(axes[0], "No countries")
+    else:
+        for ax, country in zip(axes, countries):
+            cats = df_cats[df_cats["country_id"] == country]
+
+            if cats.empty:
+                _plots.draw_empty(ax, str(country))
+                continue
+
+            pivot = cats.pivot_table(
+                index="year",
+                columns="category",
+                values="generation_mwh",
+                aggfunc="sum",
+                fill_value=0,
+            ).sort_index()
+
+            pivot.plot.bar(ax=ax, stacked=True, legend=False, zorder=1)
 
             handles, labels = ax.get_legend_handles_labels()
             ax.legend(
                 handles[::-1],
                 labels[::-1],
                 title="Category",
-                bbox_to_anchor=(1.02, 0.5),
+                bbox_to_anchor=(legend_anchor_x, 0.5),
                 loc="center left",
                 borderaxespad=0,
             )
 
-            ax.xaxis.set_major_locator(MaxNLocator(nbins=10, integer=True))
-            ax.tick_params(axis="x", rotation=45)
-            ax.set_title(country)
-            ax.set_ylabel("Generation ($MWh$)")
+            ax.tick_params(axis="x", labelrotation=x_tick_rotation)
+            ax.set_title(str(country), fontweight="bold")
+            ax.set_ylabel(r"Generation ($MWh$)")
             ax.set_xlabel("Year")
 
-    fig.savefig(output_plot, bbox_inches="tight")
+    fig.savefig(output_plot, bbox_inches="tight", pad_inches="layout")
+    plt.close(fig)
 
 
 if __name__ == "__main__":
+    sys.stderr = open(snakemake.log[0], "w", buffering=1)
     prepare(
         input_shapes=snakemake.input.shapes,
         input_eia_bulk=snakemake.input.eia_bulk,

From 58f0297800684f33593c16a507eaaf2c44515b0c Mon Sep 17 00:00:00 2001
From: Ivan Ruiz Manuel <72193617+irm-codebase@users.noreply.github.com>
Date: Fri, 3 Apr 2026 15:52:15 +0200
Subject: [PATCH 06/17] move to stable Zenodo data/tests

---
 resources/.gitkeep                     | 1 -
 tests/conftest.py                      | 2 +-
 workflow/internal/HydroSHEDS.txt       | 8 ++++++++
 workflow/internal/settings.yaml        | 2 +-
 workflow/rules/automatic.smk           | 4 ++--
 workflow/rules/statistics.smk          | 2 +-
 workflow/scripts/prepare_statistics.py | 9 ++++++---
 7 files changed, 19 insertions(+), 9 deletions(-)
 delete mode 100644 resources/.gitkeep
 create mode 100644 workflow/internal/HydroSHEDS.txt

diff --git a/resources/.gitkeep b/resources/.gitkeep
deleted file mode 100644
index 0b6bf8c..0000000
--- a/resources/.gitkeep
+++ /dev/null
@@ -1 +0,0 @@
-# User inputs should be placed here
diff --git a/tests/conftest.py b/tests/conftest.py
index 417556e..c7e0d9c 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -7,7 +7,7 @@
 
 import pytest
 
-TEST_FILES = "https://www.dropbox.com/scl/fi/nq4zapmr6w6ntknz97kjq/test_suite.zip?rlkey=52c73fbxk79mk8syznz0fgzx9&st=k0jqhfhi&dl=1"
+TEST_FILES = "https://zenodo.org/records/19401947/files/test_suite.zip?download=1"
 
 
 @pytest.fixture(scope="session")
diff --git a/workflow/internal/HydroSHEDS.txt b/workflow/internal/HydroSHEDS.txt
new file mode 100644
index 0000000..08e80e0
--- /dev/null
+++ b/workflow/internal/HydroSHEDS.txt
@@ -0,0 +1,8 @@
+This product [Modelblocks - Module hydropower] incorporates data from the HydroSHEDS version 1 database
+which is © World Wildlife Fund, Inc. (2006-2022) and has been used herein under license. WWF has not evaluated the
+data as altered and incorporated within [Modelblocks - Module hydropower], and therefore gives no warranty
+regarding its accuracy, completeness, currency or suitability for any particular purpose. Portions of the HydroSHEDS v1
+database incorporate data which are the intellectual property rights of © USGS (2006-2008), NASA (2000-2005), ESRI
+(1992-1998), CIAT (2004-2006), UNEP-WCMC (1993), WWF (2004), Commonwealth of Australia (2007), and Her
+Royal Majesty and the British Crown and are used under license. The HydroSHEDS v1 database and more information
+are available at https://www.hydrosheds.org.
diff --git a/workflow/internal/settings.yaml b/workflow/internal/settings.yaml
index b31e4d7..11c1712 100644
--- a/workflow/internal/settings.yaml
+++ b/workflow/internal/settings.yaml
@@ -2,7 +2,7 @@
 resources:
   automatic:
     # Links for automatically downloaded files
-    EIA: "https://zenodo.org/records/16779120/files/EIA-INTL.txt"
+    EIA: "https://zenodo.org/records/19401947/files/EIA-INTL.zip?download=1"
     HydroBASINS: https://data.hydrosheds.org/file/hydrobasins/standard/hybas_{continent}_lev01-12_v1c.zip
 continent_codes: ["af", "ar", "as", "au", "eu", "gr", "na", "sa", "si"]
 pfafstetter_level_codes: ["01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12"]
diff --git a/workflow/rules/automatic.smk b/workflow/rules/automatic.smk
index e9dedd3..fc096fc 100644
--- a/workflow/rules/automatic.smk
+++ b/workflow/rules/automatic.smk
@@ -7,14 +7,14 @@ rule download_eia:
     params:
         url=internal["resources"]["automatic"]["EIA"],
     output:
-        path="<resources>/automatic/downloads/EIA-INTL.txt",
+        zipfile="<resources>/automatic/downloads/EIA-INTL.zip",
     log:
         "<logs>/download_eia.log",
     localrule: True
     conda:
         "../envs/shell.yaml"
     shell:
-        r'curl -fsSLo {output.path:q} "{params.url}"'
+        r'curl -fsSLo {output.zipfile:q} "{params.url}"'
 
 
 rule download_basin:
diff --git a/workflow/rules/statistics.smk b/workflow/rules/statistics.smk
index 9ff1ab0..d2770cd 100644
--- a/workflow/rules/statistics.smk
+++ b/workflow/rules/statistics.smk
@@ -8,7 +8,7 @@ rule prepare_statistics:
         years=config["years"],
     input:
         shapes="<shapes>",
-        eia_bulk="<resources>/automatic/downloads/EIA-INTL.txt",
+        eia_bulk=rules.download_eia.output.zipfile,
     output:
         generation="<statistics>",
         plot="<results>/{shapes}/statistics/generation.pdf",
diff --git a/workflow/scripts/prepare_statistics.py b/workflow/scripts/prepare_statistics.py
index 2cd61c0..0a13030 100644
--- a/workflow/scripts/prepare_statistics.py
+++ b/workflow/scripts/prepare_statistics.py
@@ -1,6 +1,8 @@
 """Aggregated hydropower generation data at a country level."""
 
+import io
 import sys
+import zipfile
 from typing import TYPE_CHECKING, Any
 
 import _plots
@@ -9,7 +11,6 @@
 import numpy as np
 import pandas as pd
 from matplotlib import pyplot as plt
-from matplotlib.ticker import MaxNLocator
 
 if TYPE_CHECKING:
     snakemake: Any
@@ -59,14 +60,16 @@ def prepare(
 
     Args:
         input_shapes (str): shapes parquet file.
-        input_eia_bulk (str): eia bulk txt database.
+        input_eia_bulk (str): EIA bulk zip archive containing INTL.txt.
         years (dict): dictionary with start/end years.
         output_generation (str): hydropower generation parquet file.
     """
     shapes = gpd.read_parquet(input_shapes)
     shapes = _schemas.ShapeSchema.validate(shapes)
 
-    eia_stats = pd.read_json(input_eia_bulk, lines=True)
+    with zipfile.ZipFile(input_eia_bulk) as zf:
+        with zf.open("INTL.txt") as f:
+            eia_stats = pd.read_json(io.TextIOWrapper(f, encoding="utf-8"), lines=True)
 
     results = []
     for country in shapes["country_id"].unique():

From f3594f6057e08a168636260a8c9ff41ff6f4bedd Mon Sep 17 00:00:00 2001
From: Ivan Ruiz Manuel <72193617+irm-codebase@users.noreply.github.com>
Date: Fri, 3 Apr 2026 16:20:49 +0200
Subject: [PATCH 07/17] improve path robustness

---
 config/config.yaml             |  2 +-
 workflow/rules/automatic.smk   |  8 ++++----
 workflow/rules/basins.smk      | 10 +++++-----
 workflow/rules/powerplants.smk | 20 ++++++++++----------
 4 files changed, 20 insertions(+), 20 deletions(-)

diff --git a/config/config.yaml b/config/config.yaml
index e9457e0..19cc372 100644
--- a/config/config.yaml
+++ b/config/config.yaml
@@ -14,4 +14,4 @@ powerplants:
 crs:
   projected: "epsg:3857"
   geographic: "epsg:4326"
-smoothing_hours: "168h"
+smoothing_hours: "72h"
diff --git a/workflow/rules/automatic.smk b/workflow/rules/automatic.smk
index fc096fc..4bfbac8 100644
--- a/workflow/rules/automatic.smk
+++ b/workflow/rules/automatic.smk
@@ -7,7 +7,7 @@ rule download_eia:
     params:
         url=internal["resources"]["automatic"]["EIA"],
     output:
-        zipfile="<resources>/automatic/downloads/EIA-INTL.zip",
+        zipfile="<resources>/automatic/eia/EIA-INTL.zip",
     log:
         "<logs>/download_eia.log",
     localrule: True
@@ -25,7 +25,7 @@ rule download_basin:
             continent=wc.continent
         ),
     output:
-        path="<resources>/automatic/hydrobasin_{continent}.zip",
+        path="<resources>/automatic/hydrobasins/{continent}.zip",
     wildcard_constraints:
         continent="|".join(internal["continent_codes"]),
     conda:
@@ -47,9 +47,9 @@ rule download_cutout:
     input:
         shapes="<shapes>",
     output:
-        cutout="<resources>/automatic/{shapes}/cutout.nc",
+        cutout="<resources>/automatic/shapes/{shapes}/cutout.nc",
         plot=report(
-            "<resources>/automatic/{shapes}/cutout.png",
+            "<resources>/automatic/shapes/{shapes}/cutout.png",
             caption="../report/cutout.rst",
             category="Hydropower module",
         ),
diff --git a/workflow/rules/basins.smk b/workflow/rules/basins.smk
index 13cc390..824a5c8 100644
--- a/workflow/rules/basins.smk
+++ b/workflow/rules/basins.smk
@@ -8,9 +8,9 @@ rule basins_extract_pfafstetter_level:
         level=lambda wc: wc.level,
         continent=lambda wc: wc.continent,
     input:
-        zip_file="<resources>/automatic/hydrobasin_{continent}.zip",
+        zip_file=rules.download_basin.output.path,
     output:
-        parquet_file=temp("<resources>/automatic/hydrobasin_{continent}_{level}.parquet"),
+        parquet_file=temp("<resources>/automatic/hydrobasins/{continent}_{level}.parquet"),
     wildcard_constraints:
         continent="|".join(internal["continent_codes"]),
         level="|".join(internal["pfafstetter_level_codes"]),
@@ -27,13 +27,13 @@ rule basins_combine_continents:
         "Combine all HydroBASINS into a single dataset for Pfafstetter level '{wildcards.level}'."
     input:
         continent_files=expand(
-            "<resources>/automatic/hydrobasin_{continent}_{{level}}.parquet",
+            "<resources>/automatic/hydrobasins/{continent}_{{level}}.parquet",
             continent=internal["continent_codes"],
         ),
     output:
-        global_file="<resources>/automatic/hydrobasin_global_{level}.parquet",
+        global_file="<resources>/automatic/hydrobasins/global_{level}.parquet",
         plot=report(
-            "<resources>/automatic/hydrobasin_global_{level}.png",
+            "<resources>/automatic/hydrobasins/global_{level}.png",
             caption="../report/basins.rst",
             category="Hydropower module",
         ),
diff --git a/workflow/rules/powerplants.smk b/workflow/rules/powerplants.smk
index a46fb0d..340041c 100644
--- a/workflow/rules/powerplants.smk
+++ b/workflow/rules/powerplants.smk
@@ -8,13 +8,13 @@ rule powerplants_adjust_location:
         crs=config["crs"],
         basin_adjustment=config["powerplants"]["basin_adjustment"],
     input:
-        basins=f"<resources>/automatic/hydrobasin_global_{config["pfafstetter_level"]}.parquet",
+        basins=f"<resources>/automatic/hydrobasins/global_{config["pfafstetter_level"]}.parquet",
         powerplants="<powerplants>",
         shapes="<shapes>",
     output:
-        adjusted_powerplants="<resources>/automatic/{shapes}/adjusted_powerplants.parquet",
+        adjusted_powerplants="<resources>/automatic/shapes/{shapes}/adjusted_powerplants.parquet",
         plot=report(
-            "<resources>/automatic/{shapes}/adjusted_powerplants.png",
+            "<resources>/automatic/shapes/{shapes}/adjusted_powerplants.png",
             caption="../report/adjustment.rst",
             category="Hydropower module",
         ),
@@ -32,12 +32,12 @@ rule powerplants_get_inflow_m3:
     params:
         smoothing_hours=config["smoothing_hours"],
     input:
-        adjusted_powerplants="<resources>/automatic/{shapes}/adjusted_powerplants.parquet",
-        basins=f"<resources>/automatic/hydrobasin_global_{config["pfafstetter_level"]}.parquet",
+        adjusted_powerplants=rules.powerplants_adjust_location.output.adjusted_powerplants,
+        basins=f"<resources>/automatic/hydrobasins/global_{config["pfafstetter_level"]}.parquet",
         shapes="<shapes>",
-        cutout="<resources>/automatic/{shapes}/cutout.nc",
+        cutout=rules.download_cutout.output.cutout,
     output:
-        inflow="<resources>/automatic/{shapes}/disaggregated/inflow_m3.parquet",
+        inflow="<resources>/automatic/shapes/{shapes}/disaggregated/inflow_m3.parquet",
     log:
         "<logs>/{shapes}/powerplants_get_inflow_m3.log",
     conda:
@@ -53,8 +53,8 @@ rule powerplants_get_inflow_mwh:
         capacity_factor_range=internal["capacity_factor_range"],
         technology_mapping=config["powerplants"]["technology_mapping"],
     input:
-        inflow_m3="<resources>/automatic/{shapes}/disaggregated/inflow_m3.parquet",
-        adjusted_powerplants="<resources>/automatic/{shapes}/adjusted_powerplants.parquet",
+        inflow_m3=rules.powerplants_get_inflow_m3.output.inflow,
+        adjusted_powerplants=rules.powerplants_adjust_location.output.adjusted_powerplants,
         statistics="<statistics>",
     output:
         inflow_mwh="<disaggregated_inflow>",
@@ -72,7 +72,7 @@ rule powerplants_get_cf_per_shape:
     params:
         technology_mapping=config["powerplants"]["technology_mapping"],
     input:
-        adjusted_powerplants="<resources>/automatic/{shapes}/adjusted_powerplants.parquet",
+        adjusted_powerplants=rules.powerplants_adjust_location.output.adjusted_powerplants,
         inflow_mwh="<disaggregated_inflow>",
     output:
         timeseries="<aggregated_cf_timeseries>",

From f81747df740d11e3987d1c4d7058492d59f76429 Mon Sep 17 00:00:00 2001
From: Ivan Ruiz Manuel <72193617+irm-codebase@users.noreply.github.com>
Date: Fri, 3 Apr 2026 16:27:36 +0200
Subject: [PATCH 08/17] update pre-commit snakemake checker

---
 .pre-commit-config.yaml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index a1ab502..ee62b90 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -33,7 +33,7 @@ repos:
 
   # Snakemake file formatting
   - repo: https://github.com/snakemake/snakefmt
-    rev: v0.11.0
+    rev: v0.11.4
     hooks:
       - id: snakefmt
 

From b4192f13c95fd29df1679b7e8803a4fc80d339ba Mon Sep 17 00:00:00 2001
From: Ivan Ruiz Manuel <72193617+irm-codebase@users.noreply.github.com>
Date: Fri, 3 Apr 2026 17:53:03 +0200
Subject: [PATCH 09/17] documentation / README

---
 AUTHORS                            |   2 +-
 CITATION.cff                       |   4 +-
 README.md                          |  42 +++++++++++++++---
 docs/index.md                      |   4 --
 {docs => figures}/hydro_dam_cf.png | Bin
 figures/rulegraph.png              | Bin 0 -> 45600 bytes
 mkdocs.yaml                        |  67 -----------------------------
 7 files changed, 40 insertions(+), 79 deletions(-)
 delete mode 100644 docs/index.md
 rename {docs => figures}/hydro_dam_cf.png (100%)
 create mode 100644 figures/rulegraph.png
 delete mode 100644 mkdocs.yaml

diff --git a/AUTHORS b/AUTHORS
index cc8d46d..b0ce4fa 100644
--- a/AUTHORS
+++ b/AUTHORS
@@ -2,6 +2,6 @@ This is the list of contributors for copyright purposes.
 
 This does not necessarily list everyone who has contributed to this software's
 code or documentation. For a full contributor list, see:
-<https://github.com/calliope-project/module_hydropower/graphs/contributors>
+<https://github.com/modelblocks-org/module_hydropower/graphs/contributors>
 
 Ivan Ruiz Manuel, <i.ruizmanuel@tudelft.nl>
diff --git a/CITATION.cff b/CITATION.cff
index d6e6a5b..782d79b 100644
--- a/CITATION.cff
+++ b/CITATION.cff
@@ -3,8 +3,8 @@
 # https://citation-file-format.github.io/
 cff-version: 1.2.0
 message: If you use this software or data produced by it, please cite it using the metadata from this file.
-title: "clio - module_hydropower: clio - Hydropower module"
-repository: "https://github.com/calliope-project/module_hydropower"
+title: "Modelblocks - module_hydropower: Hydropower module"
+repository: "https://github.com/modelblocks-org/module_hydropower"
 license: Apache-2.0
 authors:
   - given-names: Ivan
diff --git a/README.md b/README.md
index aeeed98..a4f49a6 100644
--- a/README.md
+++ b/README.md
@@ -3,7 +3,9 @@
 A module to calculate hydropower inflow timeseries for facilities around the globe, based on Euro-Calliope methods.
 
 <!-- Place an attractive image of module outputs here -->
-
+<p align="center">
+  <img src="./figures/hydro_dam_cf.png" width="80%">
+</p>
 
 ## About
 <!-- Please do not modify this templated section -->
@@ -18,8 +20,22 @@ and the `snakemake` [documentation](https://snakemake.readthedocs.io/en/stable/s
 <!-- Please describe the processing stages of this module here -->
 
 Data processing steps:
-1.
-2.
+
+<p align="center">
+  <img src="./figures/rulegraph.png" width="60%">
+</p>
+
+1. A global dataset of hydro basins is created for a requested Pfafstetter level using data from the [HydroBASINS](https://www.hydrosheds.org/products/hydrobasins) dataset.
+2. User provided shapes and configured years are used to construct a data request to the [Copernicus Data Store](https://cds.climate.copernicus.eu/) using the [`atlite` library](https://github.com/PyPSA/atlite).
+2. National powerplant data (provided by the user) is adjusted using a buffer distance to ensure their location is within the nearest basin.
+
+> [!CAUTION]
+> Please be aware of the following limitations.
+>
+> The module assumes the shapes and powerplants provided by the user correspond to national totals, meaning that (for now) the module **will not adequately process subnational cases unless they are a subset of the total national scope**.
+>
+> The module adjusts inflow timeseries using national generation totals as a way to estimate the per-region output in each year.
+> This approach is a **heuristic**.
 
 ## Configuration
 <!-- Please describe how to configure this module below -->
@@ -29,6 +45,10 @@ Please consult the configuration [README](./config/README.md) and the [configura
 ## Input / output structure
 <!-- Please describe input / output file placement below -->
 
+As input, you need a file with the polygons to aggregate into (the 'shapes'), and a file specifying national hydropower plants (either RoR or reservoir). These files should follow the `pandera` schemas specified in [_schemas.py](./workflow/scripts/_schemas.py), and can be created using other Modelblocks modules.
+
+Outputs include aggregated timeseries per hydropower plant type, disaggregated inflow timeseries (per point powerplant), and national generation statistics.
+
 Please consult the [interface file](./INTERFACE.yaml) for more information.
 
 ## Development
@@ -62,5 +82,17 @@ snakemake --use-conda --cores 2  # run the workflow!
 
 This module is based on the following research and datasets:
 
-*
-*
+* **Basins: HydroSHEDS.**
+Lehner, B., Grill G. (2013). Global river hydrography and network routing: baseline data and new approaches to study the world’s large river systems. Hydrological Processes, 27(15): 2171–2186. <https://doi.org/10.1002/hyp.9740>
+    - Please consult the [declaration statement](./workflow/internal/HydroSHEDS.txt) in this repository for further details.
+* **Inflow timeseries dataset.**
+Hersbach H, Bell B, Berrisford P, et al. The ERA5 global reanalysis. Q J R Meteorol Soc. 2020;146:1999–2049. <https://doi.org/10.1002/qj.3803>
+* **Inflow timeseries processing.**
+Hofmann et al., (2021). atlite: A Lightweight Python Package for Calculating Renewable Power Potentials and Time Series. Journal of Open Source Software, 6(62), 3294, <https://doi.org/10.21105/joss.03294>
+* **Reference source code for national adjustment heuristic.**
+Tröndle, T., & Pickering, B. (2021). Euro-Calliope (Version 1.2.0.dev) [Computer software]. <https://doi.org/10.5281/zenodo.3949793>
+    - MIT licensed. Please consult our source code for details.
+* **National hydropower generation dataset.** U.S. Energy Information Administration (Oct 2008). <https://www.eia.gov/international/overview/world>
+
+Additionaly, this module relies on the following for testing and stable integration:
+* **Data stability aid.** Ruiz Manuel, I., & Pfenninger, S. (2026). Modelblocks - module hydropower (v0.1.0) [Data set]. Zenodo. <https://doi.org/10.5281/zenodo.19401947>
diff --git a/docs/index.md b/docs/index.md
deleted file mode 100644
index 47bd90b..0000000
--- a/docs/index.md
+++ /dev/null
@@ -1,4 +0,0 @@
-# Home
-
-Welcome to the documentation of the `module_hydropower` data module!
-Please consult the [specification guidelines](./specification.md) and the [`clio` documentation](https://clio.readthedocs.io/) for more information.
diff --git a/docs/hydro_dam_cf.png b/figures/hydro_dam_cf.png
similarity index 100%
rename from docs/hydro_dam_cf.png
rename to figures/hydro_dam_cf.png
diff --git a/figures/rulegraph.png b/figures/rulegraph.png
new file mode 100644
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HcmV?d00001

diff --git a/mkdocs.yaml b/mkdocs.yaml
deleted file mode 100644
index b987466..0000000
--- a/mkdocs.yaml
+++ /dev/null
@@ -1,67 +0,0 @@
-# yaml-language-server: $schema=https://squidfunk.github.io/mkdocs-material/schema.json
-
-site_name: clio - Hydropower module
-site_url: https://module_hydropower.readthedocs.io/
-repo_name: module_hydropower
-repo_url: https://github.com/calliope-project/module_hydropower/
-edit_uri: edit/main/docs/
-theme:
-  name: material
-  features:
-  - navigation.footer
-  - navigation.instant
-  - navigation.tabs
-  - navigation.tabs.sticky
-  - navigation.indexes
-  - search.suggest
-  - search.highlight
-  - toc.follow
-  palette:
-    # Palette toggle for automatic mode
-    - media: "(prefers-color-scheme)"
-      toggle:
-        icon: material/brightness-auto
-        name: Switch to light mode
-      primary: red
-      accent: pink
-    # Palette toggle for light mode
-    - media: "(prefers-color-scheme: light)"
-      scheme: default
-      toggle:
-        icon: material/weather-sunny
-        name: Switch to dark mode
-      primary: red
-      accent: pink
-    # Palette toggle for dark mode
-    - media: "(prefers-color-scheme: dark)"
-      scheme: slate
-      toggle:
-        icon: material/weather-night
-        name: Switch to system preference
-      primary: red
-      accent: pink
-markdown_extensions:
-  - admonition
-  - pymdownx.arithmatex:
-      generic: true
-  - pymdownx.betterem:
-      smart_enable: all
-  - pymdownx.details
-  - pymdownx.emoji:
-      emoji_index: !!python/name:material.extensions.emoji.twemoji
-      emoji_generator: !!python/name:material.extensions.emoji.to_svg
-  - pymdownx.highlight:
-      anchor_linenums: true
-  - pymdownx.snippets:
-      check_paths: true
-      restrict_base_path: true
-  - pymdownx.superfences:
-      custom_fences:
-        - name: mermaid
-          class: mermaid
-          format: !!python/name:mermaid2.fence_mermaid_custom
-  - toc:
-      anchorlink: true
-plugins:
-  - search
-copyright: Copyright &copy; since 2025 <a href="https://github.com/calliope-project/module_hydropower/blob/main/AUTHORS">module_hydropower contributors</a> (Apache-2.0 licensed)

From 026b3338fb1c0a8d8915ccd284b7c4221197618e Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Fri, 3 Apr 2026 15:53:26 +0000
Subject: [PATCH 10/17] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 tests/integration/Snakefile | 12 +++++++++---
 workflow/Snakefile          |  1 +
 workflow/rules/basins.smk   |  4 +++-
 3 files changed, 13 insertions(+), 4 deletions(-)

diff --git a/tests/integration/Snakefile b/tests/integration/Snakefile
index fbc71c2..f0f3014 100644
--- a/tests/integration/Snakefile
+++ b/tests/integration/Snakefile
@@ -26,8 +26,10 @@ module module_hydropower:
 # rename all module rules with a prefix, to avoid naming conflicts.
 use rule * from module_hydropower as module_hydropower_*
 
-PLANTS=["run_of_river", "reservoir"]
-SHAPES=["MNE"]
+
+PLANTS = ["run_of_river", "reservoir"]
+SHAPES = ["MNE"]
+
 
 # Request something from the module
 rule all:
@@ -35,4 +37,8 @@ rule all:
         "Generate CF timeseries for a small country."
     default_target: True
     input:
-        expand("results/outputs/{shapes}/{plant_type}_cf.parquet", shapes=SHAPES, plant_type=PLANTS),
+        expand(
+            "results/outputs/{shapes}/{plant_type}_cf.parquet",
+            shapes=SHAPES,
+            plant_type=PLANTS,
+        ),
diff --git a/workflow/Snakefile b/workflow/Snakefile
index e45a15f..8eb9104 100644
--- a/workflow/Snakefile
+++ b/workflow/Snakefile
@@ -4,6 +4,7 @@ from snakemake.utils import min_version, validate
 
 min_version("9.19")
 
+
 # !!!!! IMPORTANT !!!!!
 # Define pathvars for all user resource files and result files
 # This allows users to re-wire how the module is used in their workflow with ease.
diff --git a/workflow/rules/basins.smk b/workflow/rules/basins.smk
index 824a5c8..90dfa7b 100644
--- a/workflow/rules/basins.smk
+++ b/workflow/rules/basins.smk
@@ -10,7 +10,9 @@ rule basins_extract_pfafstetter_level:
     input:
         zip_file=rules.download_basin.output.path,
     output:
-        parquet_file=temp("<resources>/automatic/hydrobasins/{continent}_{level}.parquet"),
+        parquet_file=temp(
+            "<resources>/automatic/hydrobasins/{continent}_{level}.parquet"
+        ),
     wildcard_constraints:
         continent="|".join(internal["continent_codes"]),
         level="|".join(internal["pfafstetter_level_codes"]),

From 6330815a4719a6df968bb8e072bcb01cf524f753 Mon Sep 17 00:00:00 2001
From: Ivan Ruiz Manuel <72193617+irm-codebase@users.noreply.github.com>
Date: Fri, 3 Apr 2026 17:56:14 +0200
Subject: [PATCH 11/17] spellchecker

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index a4f49a6..e5b8075 100644
--- a/README.md
+++ b/README.md
@@ -94,5 +94,5 @@ Tröndle, T., & Pickering, B. (2021). Euro-Calliope (Version 1.2.0.dev) [Compute
     - MIT licensed. Please consult our source code for details.
 * **National hydropower generation dataset.** U.S. Energy Information Administration (Oct 2008). <https://www.eia.gov/international/overview/world>
 
-Additionaly, this module relies on the following for testing and stable integration:
+Additionally, this module relies on the following for testing and stable integration:
 * **Data stability aid.** Ruiz Manuel, I., & Pfenninger, S. (2026). Modelblocks - module hydropower (v0.1.0) [Data set]. Zenodo. <https://doi.org/10.5281/zenodo.19401947>

From a36d70f15ca6576ebf0777faef7b8767ea4da5ee Mon Sep 17 00:00:00 2001
From: Ivan Ruiz Manuel <72193617+irm-codebase@users.noreply.github.com>
Date: Fri, 3 Apr 2026 18:20:30 +0200
Subject: [PATCH 12/17] complete the readme

---
 README.md | 8 ++++++--
 1 file changed, 6 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index e5b8075..df4a53c 100644
--- a/README.md
+++ b/README.md
@@ -26,8 +26,12 @@ Data processing steps:
 </p>
 
 1. A global dataset of hydro basins is created for a requested Pfafstetter level using data from the [HydroBASINS](https://www.hydrosheds.org/products/hydrobasins) dataset.
-2. User provided shapes and configured years are used to construct a data request to the [Copernicus Data Store](https://cds.climate.copernicus.eu/) using the [`atlite` library](https://github.com/PyPSA/atlite).
-2. National powerplant data (provided by the user) is adjusted using a buffer distance to ensure their location is within the nearest basin.
+2. Individual powerplant locations (provided by the user) are adjusted using a buffer distance to ensure their location is within the nearest basin.
+3. User provided shapes, powerplants and configuration are used to construct a data request to the [Copernicus Data Store](https://cds.climate.copernicus.eu/) using the [`atlite` library](https://github.com/PyPSA/atlite).
+4. `atlite` is used to construct inflow timeseries per powerplant.
+5. Inflow timeseries are combined and aggregated to the requested resolution, using national-level statistics from the [EIA](https://www.eia.gov/international/) as a guiding normalisation heuristic for total generation.
+    - For run of river powerplants, the timeseries are capped so they may not exceed available capacity.
+    - For reservoirs, the timeseries are capped so inflow cannot exceed 10 times the available capacity.
 
 > [!CAUTION]
 > Please be aware of the following limitations.

From 3efe15a8d9ec66e31641edd36ef89b4e3687da00 Mon Sep 17 00:00:00 2001
From: Ivan Ruiz Manuel <72193617+irm-codebase@users.noreply.github.com>
Date: Fri, 3 Apr 2026 18:31:17 +0200
Subject: [PATCH 13/17] more readme fixes

---
 README.md | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/README.md b/README.md
index df4a53c..12f0869 100644
--- a/README.md
+++ b/README.md
@@ -30,6 +30,8 @@ Data processing steps:
 3. User provided shapes, powerplants and configuration are used to construct a data request to the [Copernicus Data Store](https://cds.climate.copernicus.eu/) using the [`atlite` library](https://github.com/PyPSA/atlite).
 4. `atlite` is used to construct inflow timeseries per powerplant.
 5. Inflow timeseries are combined and aggregated to the requested resolution, using national-level statistics from the [EIA](https://www.eia.gov/international/) as a guiding normalisation heuristic for total generation.
+6. Per-unit inflow timeseries ($PU_{t,r}$) are produced for each region with available capacity.
+The relation is $InflowMWh_{t,r} = PU_{t,r} \cdot Cap_{r}$, where $Cap_r$ is the capacity per region.
     - For run of river powerplants, the timeseries are capped so they may not exceed available capacity.
     - For reservoirs, the timeseries are capped so inflow cannot exceed 10 times the available capacity.
 

From 0d0cdaef4a14a64a6fbe6b349d0978b7542ba8ef Mon Sep 17 00:00:00 2001
From: Ivan Ruiz Manuel <72193617+irm-codebase@users.noreply.github.com>
Date: Fri, 3 Apr 2026 18:49:33 +0200
Subject: [PATCH 14/17] correct CF -> PU for clarity

---
 INTERFACE.yaml                                |  8 ++--
 tests/integration/Snakefile                   |  6 +--
 tests/local_test.py                           |  2 +-
 workflow/Snakefile                            |  2 +-
 workflow/internal/settings.yaml               |  2 +-
 workflow/report/cf_per_shape.rst              |  1 -
 workflow/report/pu_per_shape.rst              |  1 +
 workflow/rules/powerplants.smk                | 16 ++++----
 .../scripts/powerplants_get_inflow_mwh.py     | 24 +++++------
 ...ape.py => powerplants_get_pu_per_shape.py} | 40 +++++++++----------
 10 files changed, 51 insertions(+), 51 deletions(-)
 delete mode 100644 workflow/report/cf_per_shape.rst
 create mode 100644 workflow/report/pu_per_shape.rst
 rename workflow/scripts/{powerplants_get_cf_per_shape.py => powerplants_get_pu_per_shape.py} (75%)

diff --git a/INTERFACE.yaml b/INTERFACE.yaml
index d796491..c26b8ba 100644
--- a/INTERFACE.yaml
+++ b/INTERFACE.yaml
@@ -14,7 +14,7 @@ pathvars:
     shapes:
       default: "<resources>/user/{shapes}/shapes.parquet"
       description: |
-        Region-specific polygons to process during capacity aggregation.
+        Region-specific polygons to process during aggregation.
         See the schemas in `workflow/scripts/_schemas.py` for more information.
     powerplants:
       default: "<resources>/user/{shapes}/powerplants.parquet"
@@ -30,10 +30,10 @@ pathvars:
       description: >
         Inflow time series for each powerplant in MWh.
         Only includes powerplants that fall within the provided shapes and buffer distance.
-    aggregated_cf_timeseries:
-      default: "<results>/{shapes}/aggregated/{plant_type}_cf.parquet"
+    aggregated_inflow_pu:
+      default: "<results>/{shapes}/aggregated/{plant_type}_inflow_pu.parquet"
       description: >
-        Capacity factor (CF) timeseries of a hydropower plant type, aggregated to shapes.
+        Inflow per-unit (PU) of capacity timeseries of a hydropower plant type, per shapes.
 wildcards:
   shapes: name of the provided shapes case.
   plant_type: Either 'run_of_river' or 'reservoir'.
diff --git a/tests/integration/Snakefile b/tests/integration/Snakefile
index f0f3014..0c0c2d2 100644
--- a/tests/integration/Snakefile
+++ b/tests/integration/Snakefile
@@ -16,7 +16,7 @@ module module_hydropower:
         shapes="resources/inputs/{shapes}/shapes.parquet",
         powerplants="resources/inputs/{shapes}/powerplants.parquet",
         # Redirect specific module results (outputs)
-        aggregated_cf_timeseries="results/outputs/{shapes}/{plant_type}_cf.parquet",
+        aggregated_inflow_pu="results/outputs/{shapes}/{plant_type}_pu.parquet",
         # Redirect module intermediate files
         logs="resources/hydropower/logs",
         resources="resources/hydropower/resources",
@@ -34,11 +34,11 @@ SHAPES = ["MNE"]
 # Request something from the module
 rule all:
     message:
-        "Generate CF timeseries for a small country."
+        "Generate PU timeseries for a small country."
     default_target: True
     input:
         expand(
-            "results/outputs/{shapes}/{plant_type}_cf.parquet",
+            "results/outputs/{shapes}/{plant_type}_pu.parquet",
             shapes=SHAPES,
             plant_type=PLANTS,
         ),
diff --git a/tests/local_test.py b/tests/local_test.py
index 0c9e217..6df90a9 100644
--- a/tests/local_test.py
+++ b/tests/local_test.py
@@ -18,7 +18,7 @@
 def build_request(case: str):
     """Construct a request for the given case."""
     return " ".join(
-        [f"results/{case}/aggregated/{tech}_cf.parquet" for tech in TECHNOLOGIES]
+        [f"results/{case}/aggregated/{tech}_inflow_pu.parquet" for tech in TECHNOLOGIES]
     )
 
 
diff --git a/workflow/Snakefile b/workflow/Snakefile
index 8eb9104..179d086 100644
--- a/workflow/Snakefile
+++ b/workflow/Snakefile
@@ -15,7 +15,7 @@ pathvars:
     # Module results
     statistics="<results>/{shapes}/statistics/generation.parquet",
     disaggregated_inflow="<results>/{shapes}/disaggregated/inflow_mwh.parquet",
-    aggregated_cf_timeseries="<results>/{shapes}/aggregated/{plant_type}_cf.parquet",
+    aggregated_inflow_pu="<results>/{shapes}/aggregated/{plant_type}_inflow_pu.parquet",
 
 
 # Load the example configuration. This will be overridden by users.
diff --git a/workflow/internal/settings.yaml b/workflow/internal/settings.yaml
index 11c1712..74a580f 100644
--- a/workflow/internal/settings.yaml
+++ b/workflow/internal/settings.yaml
@@ -7,7 +7,7 @@ resources:
 continent_codes: ["af", "ar", "as", "au", "eu", "gr", "na", "sa", "si"]
 pfafstetter_level_codes: ["01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12"]
 era5_crs: "epsg:4326"
-capacity_factor_range:
+pu_factor_range:
   reservoir:
     max: 10  # Allow dams to take additional inflow, as they are controllable.
     min: 0.001
diff --git a/workflow/report/cf_per_shape.rst b/workflow/report/cf_per_shape.rst
deleted file mode 100644
index ff5b7ef..0000000
--- a/workflow/report/cf_per_shape.rst
+++ /dev/null
@@ -1 +0,0 @@
-Capacity factors of a technology are obtained by aggregating its total capacity in a region.
diff --git a/workflow/report/pu_per_shape.rst b/workflow/report/pu_per_shape.rst
new file mode 100644
index 0000000..68f66bf
--- /dev/null
+++ b/workflow/report/pu_per_shape.rst
@@ -0,0 +1 @@
+Per-unit inflow timeseries per-technology obtained by aggregating its total capacity in a region.
diff --git a/workflow/rules/powerplants.smk b/workflow/rules/powerplants.smk
index 340041c..21bddb4 100644
--- a/workflow/rules/powerplants.smk
+++ b/workflow/rules/powerplants.smk
@@ -50,7 +50,7 @@ rule powerplants_get_inflow_mwh:
     message:
         "Calculating powerplant generation in MWh and applying corrections using historical data."
     params:
-        capacity_factor_range=internal["capacity_factor_range"],
+        pu_factor_range=internal["pu_factor_range"],
         technology_mapping=config["powerplants"]["technology_mapping"],
     input:
         inflow_m3=rules.powerplants_get_inflow_m3.output.inflow,
@@ -66,26 +66,26 @@ rule powerplants_get_inflow_mwh:
         "../scripts/powerplants_get_inflow_mwh.py"
 
 
-rule powerplants_get_cf_per_shape:
+rule powerplants_get_pu_per_shape:
     message:
-        "Calculating capacity factor timeseries per shape for '{wildcards.plant_type}'."
+        "Calculating aggregated per-unit timeseries per shape for '{wildcards.plant_type}'."
     params:
         technology_mapping=config["powerplants"]["technology_mapping"],
     input:
         adjusted_powerplants=rules.powerplants_adjust_location.output.adjusted_powerplants,
         inflow_mwh="<disaggregated_inflow>",
     output:
-        timeseries="<aggregated_cf_timeseries>",
+        timeseries="<aggregated_inflow_pu>",
         figure=report(
-            "<results>/{shapes}/aggregated/{plant_type}_cf.pdf",
-            caption="../report/cf_per_shape.rst",
+            "<results>/{shapes}/aggregated/{plant_type}_inflow_pu.pdf",
+            caption="../report/pu_per_shape.rst",
             category="Hydropower module",
         ),
     wildcard_constraints:
         plant_type="|".join(["run_of_river", "reservoir"]),
     log:
-        "<logs>/{shapes}/powerplants_get_cf_per_shape_{plant_type}.log",
+        "<logs>/{shapes}/powerplants_get_pu_per_shape_{plant_type}.log",
     conda:
         "../envs/hydropower.yaml"
     script:
-        "../scripts/powerplants_get_cf_per_shape.py"
+        "../scripts/powerplants_get_pu_per_shape.py"
diff --git a/workflow/scripts/powerplants_get_inflow_mwh.py b/workflow/scripts/powerplants_get_inflow_mwh.py
index 1e682a6..714674f 100644
--- a/workflow/scripts/powerplants_get_inflow_mwh.py
+++ b/workflow/scripts/powerplants_get_inflow_mwh.py
@@ -43,18 +43,18 @@ def _estimate_bounded_powerplant_inflow(
     inflow_m3: pd.DataFrame,
     national_generation: pd.DataFrame,
     year: int,
-    capacity_factor_range: dict,
+    pu_factor_range: dict,
 ) -> pd.DataFrame:
     """Obtain magnitude-corrected hydropower timeseries dataset for a given year.
 
     The inflow timeseries will be scaled utilising national generation data.
     The aim is to correct its magnitude while retaining its dynamics.
 
-    A capacity factor range is used to determine the upper limit and zero-cutoff.
+    A per-unit factor range is used to determine the upper limit and zero-cutoff.
 
     General assumptions:
         - Annual total never exceeds installed capacity * upper limit.
-        - Values lower than the min. capacity factor range will be set to zero.
+        - Values lower than the min. per-unit factor range will be set to zero.
     """
     inflow_m3_yr = inflow_m3[inflow_m3.index.year == year]
     generation_yr = national_generation[national_generation.year == year]
@@ -95,10 +95,10 @@ def _estimate_bounded_powerplant_inflow(
     for plant_id, plant_data in plants_by_id.iterrows():
         inflow_m3_per_hour = inflow_m3_yr[plant_id]
         annual_generation_mwh = annual_powerplant_mwh[plant_id]
-        cf_range = capacity_factor_range[plant_data["technology"]]
+        pu_range = pu_factor_range[plant_data["technology"]]
 
         # Obtain MWh, ensuring max-cutoff is not exceeded
-        max_cutoff = plant_data["output_capacity_mw"] * cf_range["max"]
+        max_cutoff = plant_data["output_capacity_mw"] * pu_range["max"]
         max_generation_mwh = max_cutoff * hours_in_year
         if annual_generation_mwh > max_generation_mwh:
             raise ValueError(
@@ -109,7 +109,7 @@ def _estimate_bounded_powerplant_inflow(
         )
 
         # Convert values below the minimum range to zero, to avoid very small numbers
-        zero_cutoff = plant_data["output_capacity_mw"] * cf_range["min"]
+        zero_cutoff = plant_data["output_capacity_mw"] * pu_range["min"]
         inflow_mwh_yr[plant_id] = inflow_mwh_yr[plant_id].where(
             inflow_mwh_yr[plant_id] >= zero_cutoff, 0
         )
@@ -121,7 +121,7 @@ def powerplants_get_inflow_mwh(
     inflow_m3_file: str,
     powerplants_file: str,
     statistics_file: str,
-    capacity_factor_range: dict,
+    pu_factor_range: dict,
     technology_mapping: dict,
     inflow_mwh_file: str,
 ):
@@ -131,7 +131,7 @@ def powerplants_get_inflow_mwh(
         inflow_m3_file (str): Dataset with water inflow per-powerplant in m3.
         powerplants_file (str): Powerplants dataset (adjusted).
         statistics_file (str): Annual national hydropower generation per country.
-        capacity_factor_range (dict): Max/min range of inflow in relation to the plant's capacity.
+        pu_factor_range (dict): Max/min range of inflow in relation to the plant's capacity.
         technology_mapping (dict): names of technologies in user files.
         inflow_mwh_file (str): Resulting file with energy inflow per powerplant in MWh.
     """
@@ -143,8 +143,8 @@ def powerplants_get_inflow_mwh(
 
     # Match user technology names with those in our internal settings
     # and process only relevant technologies
-    remapped_cf_range = {
-        v: capacity_factor_range[k] for k, v in technology_mapping.items()
+    remapped_pu_range = {
+        v: pu_factor_range[k] for k, v in technology_mapping.items()
     }
     powerplants = powerplants[
         powerplants["technology"].isin(technology_mapping.values())
@@ -152,7 +152,7 @@ def powerplants_get_inflow_mwh(
     year_results = []
     for year in sorted(inflow_m3.index.year.unique()):
         inflow_mwh_yr = _estimate_bounded_powerplant_inflow(
-            powerplants, inflow_m3, generation, year, remapped_cf_range
+            powerplants, inflow_m3, generation, year, remapped_pu_range
         )
         year_results.append(inflow_mwh_yr)
 
@@ -166,7 +166,7 @@ def powerplants_get_inflow_mwh(
         inflow_m3_file=snakemake.input.inflow_m3,
         powerplants_file=snakemake.input.adjusted_powerplants,
         statistics_file=snakemake.input.statistics,
-        capacity_factor_range=snakemake.params.capacity_factor_range,
+        pu_factor_range=snakemake.params.pu_factor_range,
         technology_mapping=snakemake.params.technology_mapping,
         inflow_mwh_file=snakemake.output.inflow_mwh,
     )
diff --git a/workflow/scripts/powerplants_get_cf_per_shape.py b/workflow/scripts/powerplants_get_pu_per_shape.py
similarity index 75%
rename from workflow/scripts/powerplants_get_cf_per_shape.py
rename to workflow/scripts/powerplants_get_pu_per_shape.py
index cf0f33b..274c68d 100644
--- a/workflow/scripts/powerplants_get_cf_per_shape.py
+++ b/workflow/scripts/powerplants_get_pu_per_shape.py
@@ -1,4 +1,4 @@
-"""Capacity factor calculation for hydropower basin and run-of-river plants."""
+"""Per-unit inflow factor calculation for hydropower basin and run-of-river plants."""
 
 import sys
 from typing import TYPE_CHECKING, Any
@@ -14,7 +14,7 @@
     snakemake: Any
 
 
-def _plot_cf_per_shape(cf_file: str, plant_type: str, fig_path: str):
+def _plot_pu_per_shape(cf_file: str, plant_type: str, fig_path: str):
     """Plot a time series for every shape."""
     data = pd.read_parquet(cf_file)
 
@@ -27,10 +27,10 @@ def _plot_cf_per_shape(cf_file: str, plant_type: str, fig_path: str):
     )
     axes = axes.ravel()
 
-    fig.suptitle(f"Inflow capacity factors {plant_type}", fontsize="x-large")
+    fig.suptitle(f"Per-unit inflow factors {plant_type}", fontsize="x-large")
 
     if data.empty:
-        _plots.draw_empty(axes[0], f"Inflow capacity factors {plant_type}")
+        _plots.draw_empty(axes[0], f"No per-unit inflow factors {plant_type}")
     else:
         for ax, shape_id in zip(axes, data.columns):
             series = data[shape_id].dropna()
@@ -50,10 +50,10 @@ def _plot_cf_per_shape(cf_file: str, plant_type: str, fig_path: str):
     plt.close(fig)
 
 
-def _get_capacity_factors_timeseries(
+def _get_pu_factor_timeseries(
     tech: str, powerplants: pd.DataFrame, inflow_mwh: pd.DataFrame
 ) -> pd.DataFrame:
-    """Calculate capacity factor timeseries within a shape for a given technology.
+    """Calculate per-unit factor timeseries within a shape for a given technology.
 
     Args:
         tech (str): name of the powerplant technology.
@@ -61,7 +61,7 @@ def _get_capacity_factors_timeseries(
         inflow_mwh (pd.DataFrame): timeseries of energy inflow per powerplant.
 
     Returns:
-        pd.DataFrame: capacity factor timeseries (row: timestep, column: shape_id).
+        pd.DataFrame: pu factor timeseries (row: timestep, column: shape_id).
     """
     tech_powerplants = powerplants[powerplants["technology"] == tech]
     group = tech_powerplants.groupby(["shape_id"])
@@ -69,41 +69,41 @@ def _get_capacity_factors_timeseries(
     shape_powerplants = group["powerplant_id"].apply(list)
 
     shape_ids = sorted(tech_powerplants.shape_id.unique())
-    cf_timeseries = pd.DataFrame(np.nan, index=inflow_mwh.index, columns=shape_ids)
+    pu_timeseries = pd.DataFrame(np.nan, index=inflow_mwh.index, columns=shape_ids)
     for shape_id in shape_ids:
-        cf_timeseries[shape_id] = (
+        pu_timeseries[shape_id] = (
             inflow_mwh[shape_powerplants[shape_id]].sum(axis="columns")
             / shape_net_cap[shape_id]
         )
 
-    if cf_timeseries.isna().any().any():
-        ValueError(
-            f"Calculated capacity factor timeseries must not contain null values {tech}."
+    if pu_timeseries.isna().any().any():
+        raise ValueError(
+            f"Calculated per-unit factor timeseries must not contain null values {tech}."
         )
 
-    cf_timeseries.attrs = {
-        "long_name": "Capacity factors",
+    pu_timeseries.attrs = {
+        "long_name": "Per-unit factors",
         "units": None,
         "technology": tech,
     }
-    return cf_timeseries
+    return pu_timeseries
 
 
-def powerplants_get_cf_per_shape(
+def powerplants_get_pu_per_shape(
     powerplants_file: gpd.GeoDataFrame,
     inflow_mwh_file: pd.DataFrame,
     plant_type: str,
     technology_mapping: dict,
     output_path: str,
 ):
-    """Construct a capacity factor file for each type of hydro plant."""
+    """Construct a per-unit factor file for each type of hydro plant."""
     powerplants = gpd.read_parquet(powerplants_file)
     inflow_mwh = pd.read_parquet(inflow_mwh_file)
 
     _schemas.PowerplantSchema.validate(powerplants)
 
     user_plant_name = technology_mapping[plant_type]
-    cap_factors = _get_capacity_factors_timeseries(
+    cap_factors = _get_pu_factor_timeseries(
         user_plant_name, powerplants, inflow_mwh
     )
     cap_factors.to_parquet(output_path)
@@ -111,14 +111,14 @@ def powerplants_get_cf_per_shape(
 
 if __name__ == "__main__":
     sys.stderr = open(snakemake.log[0], "w", buffering=1)
-    powerplants_get_cf_per_shape(
+    powerplants_get_pu_per_shape(
         powerplants_file=snakemake.input.adjusted_powerplants,
         inflow_mwh_file=snakemake.input.inflow_mwh,
         plant_type=snakemake.wildcards.plant_type,
         technology_mapping=snakemake.params.technology_mapping,
         output_path=snakemake.output.timeseries,
     )
-    _plot_cf_per_shape(
+    _plot_pu_per_shape(
         cf_file=snakemake.output.timeseries,
         plant_type=snakemake.wildcards.plant_type,
         fig_path=snakemake.output.figure,

From f70402c4b78e688a8d122bf9e8d7dca09a07995a Mon Sep 17 00:00:00 2001
From: Ivan Ruiz Manuel <72193617+irm-codebase@users.noreply.github.com>
Date: Fri, 3 Apr 2026 19:57:40 +0200
Subject: [PATCH 15/17] new figures

---
 README.md                        |  11 ++++++++++-
 figures/adjusted_powerplants.png | Bin 0 -> 107624 bytes
 figures/hydro_dam_cf.png         | Bin 91349 -> 0 bytes
 figures/reservoir_inflow_pu.png  | Bin 0 -> 78340 bytes
 figures/rulegraph.png            | Bin 45600 -> 45580 bytes
 5 files changed, 10 insertions(+), 1 deletion(-)
 create mode 100644 figures/adjusted_powerplants.png
 delete mode 100644 figures/hydro_dam_cf.png
 create mode 100644 figures/reservoir_inflow_pu.png

diff --git a/README.md b/README.md
index 12f0869..96f6a51 100644
--- a/README.md
+++ b/README.md
@@ -4,7 +4,7 @@ A module to calculate hydropower inflow timeseries for facilities around the glo
 
 <!-- Place an attractive image of module outputs here -->
 <p align="center">
-  <img src="./figures/hydro_dam_cf.png" width="80%">
+  <img src="./figures/reservoir_inflow_pu.png" width="80%">
 </p>
 
 ## About
@@ -27,6 +27,11 @@ Data processing steps:
 
 1. A global dataset of hydro basins is created for a requested Pfafstetter level using data from the [HydroBASINS](https://www.hydrosheds.org/products/hydrobasins) dataset.
 2. Individual powerplant locations (provided by the user) are adjusted using a buffer distance to ensure their location is within the nearest basin.
+
+<p align="center">
+  <img src="./figures/adjusted_powerplants.png" width="60%">
+</p>
+
 3. User provided shapes, powerplants and configuration are used to construct a data request to the [Copernicus Data Store](https://cds.climate.copernicus.eu/) using the [`atlite` library](https://github.com/PyPSA/atlite).
 4. `atlite` is used to construct inflow timeseries per powerplant.
 5. Inflow timeseries are combined and aggregated to the requested resolution, using national-level statistics from the [EIA](https://www.eia.gov/international/) as a guiding normalisation heuristic for total generation.
@@ -35,6 +40,10 @@ The relation is $InflowMWh_{t,r} = PU_{t,r} \cdot Cap_{r}$, where $Cap_r$ is the
     - For run of river powerplants, the timeseries are capped so they may not exceed available capacity.
     - For reservoirs, the timeseries are capped so inflow cannot exceed 10 times the available capacity.
 
+<p align="center">
+  <img src="./figures/reservoir_inflow_pu.png" width="60%">
+</p>
+
 > [!CAUTION]
 > Please be aware of the following limitations.
 >
diff --git a/figures/adjusted_powerplants.png b/figures/adjusted_powerplants.png
new file mode 100644
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From a4ba0ef4ce87e1bd38301f077821f2140809b9a3 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Fri, 3 Apr 2026 17:57:52 +0000
Subject: [PATCH 16/17] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 workflow/scripts/powerplants_get_inflow_mwh.py   | 4 +---
 workflow/scripts/powerplants_get_pu_per_shape.py | 4 +---
 2 files changed, 2 insertions(+), 6 deletions(-)

diff --git a/workflow/scripts/powerplants_get_inflow_mwh.py b/workflow/scripts/powerplants_get_inflow_mwh.py
index 714674f..e417c69 100644
--- a/workflow/scripts/powerplants_get_inflow_mwh.py
+++ b/workflow/scripts/powerplants_get_inflow_mwh.py
@@ -143,9 +143,7 @@ def powerplants_get_inflow_mwh(
 
     # Match user technology names with those in our internal settings
     # and process only relevant technologies
-    remapped_pu_range = {
-        v: pu_factor_range[k] for k, v in technology_mapping.items()
-    }
+    remapped_pu_range = {v: pu_factor_range[k] for k, v in technology_mapping.items()}
     powerplants = powerplants[
         powerplants["technology"].isin(technology_mapping.values())
     ]
diff --git a/workflow/scripts/powerplants_get_pu_per_shape.py b/workflow/scripts/powerplants_get_pu_per_shape.py
index 274c68d..4c7775d 100644
--- a/workflow/scripts/powerplants_get_pu_per_shape.py
+++ b/workflow/scripts/powerplants_get_pu_per_shape.py
@@ -103,9 +103,7 @@ def powerplants_get_pu_per_shape(
     _schemas.PowerplantSchema.validate(powerplants)
 
     user_plant_name = technology_mapping[plant_type]
-    cap_factors = _get_pu_factor_timeseries(
-        user_plant_name, powerplants, inflow_mwh
-    )
+    cap_factors = _get_pu_factor_timeseries(user_plant_name, powerplants, inflow_mwh)
     cap_factors.to_parquet(output_path)
 
 

From c4be4edc102a471c47206807995f85cd60ff72d4 Mon Sep 17 00:00:00 2001
From: Ivan Ruiz Manuel <72193617+irm-codebase@users.noreply.github.com>
Date: Fri, 3 Apr 2026 20:08:33 +0200
Subject: [PATCH 17/17] pin environment

---
 workflow/envs/hydropower.linux-64.pin.txt  | 265 +++++++++++++++++++++
 workflow/envs/hydropower.osx-arm64.pin.txt | 257 ++++++++++++++++++++
 workflow/envs/hydropower.win-64.pin.txt    | 240 +++++++++++++++++++
 3 files changed, 762 insertions(+)
 create mode 100644 workflow/envs/hydropower.linux-64.pin.txt
 create mode 100644 workflow/envs/hydropower.osx-arm64.pin.txt
 create mode 100644 workflow/envs/hydropower.win-64.pin.txt

diff --git a/workflow/envs/hydropower.linux-64.pin.txt b/workflow/envs/hydropower.linux-64.pin.txt
new file mode 100644
index 0000000..3f160d5
--- /dev/null
+++ b/workflow/envs/hydropower.linux-64.pin.txt
@@ -0,0 +1,265 @@
+# Generated by `pixi workspace export`
+# platform: linux-64
+@EXPLICIT
+https://conda.anaconda.org/conda-forge/noarch/python_abi-3.13-8_cp313.conda#94305520c52a4aa3f6c2b1ff6008d9f8
+https://conda.anaconda.org/conda-forge/noarch/tzdata-2025c-hc9c84f9_1.conda#ad659d0a2b3e47e38d829aa8cad2d610
+https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.3.2-h25fd6f3_2.conda#d87ff7921124eccd67248aa483c23fec
+https://conda.anaconda.org/conda-forge/linux-64/libgomp-15.2.0-he0feb66_18.conda#239c5e9546c38a1e884d69effcf4c882
+https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-20_gnu.conda#a9f577daf3de00bca7c3c76c0ecbd1de
+https://conda.anaconda.org/conda-forge/linux-64/libgcc-15.2.0-he0feb66_18.conda#0aa00f03f9e39fb9876085dee11a85d4
+https://conda.anaconda.org/conda-forge/linux-64/tk-8.6.13-noxft_h366c992_103.conda#cffd3bdd58090148f4cfcd831f4b26ab
+https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.5-h2d0b736_3.conda#47e340acb35de30501a76c7c799c41d7
+https://conda.anaconda.org/conda-forge/linux-64/readline-8.3-h853b02a_0.conda#d7d95fc8287ea7bf33e0e7116d2b95ec
+https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.2.25-hbd8a1cb_0.conda#4492fd26db29495f0ba23f146cd5638d
+https://conda.anaconda.org/conda-forge/linux-64/openssl-3.6.1-h35e630c_1.conda#f61eb8cd60ff9057122a3d338b99c00f
+https://conda.anaconda.org/conda-forge/linux-64/libuuid-2.42-h5347b49_0.conda#38ffe67b78c9d4de527be8315e5ada2c
+https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-15.2.0-h934c35e_18.conda#1b08cd684f34175e4514474793d44bcb
+https://conda.anaconda.org/conda-forge/linux-64/icu-78.3-h33c6efd_0.conda#c80d8a3b84358cb967fa81e7075fbc8a
+https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.52.0-hf4e2dac_0.conda#fd893f6a3002a635b5e50ceb9dd2c0f4
+https://conda.anaconda.org/conda-forge/linux-64/libmpdec-4.0.0-hb03c661_1.conda#2c21e66f50753a083cbe6b80f38268fa
+https://conda.anaconda.org/conda-forge/linux-64/liblzma-5.8.2-hb03c661_0.conda#c7c83eecbb72d88b940c249af56c8b17
+https://conda.anaconda.org/conda-forge/linux-64/libffi-3.5.2-h3435931_0.conda#a360c33a5abe61c07959e449fa1453eb
+https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.7.5-hecca717_0.conda#49f570f3bc4c874a06ea69b7225753af
+https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.7-hb78ec9c_6.conda#4a13eeac0b5c8e5b8ab496e6c4ddd829
+https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.45.1-default_hbd61a6d_102.conda#18335a698559cdbcd86150a48bf54ba6
+https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-hda65f42_9.conda#d2ffd7602c02f2b316fd921d39876885
+https://conda.anaconda.org/conda-forge/linux-64/python-3.13.12-hc97d973_100_cp313.conda#4c875ed0e78c2d407ec55eadffb8cf3d
+https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-15.2.0-h68bc16d_18.conda#646855f357199a12f02a87382d429b75
+https://conda.anaconda.org/conda-forge/linux-64/libgfortran-15.2.0-h69a702a_18.conda#9063115da5bc35fdc3e1002e69b9ef6e
+https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.32-pthreads_h94d23a6_0.conda#89d61bc91d3f39fda0ca10fcd3c68594
+https://conda.anaconda.org/conda-forge/linux-64/libblas-3.11.0-6_h4a7cf45_openblas.conda#6d6d225559bfa6e2f3c90ee9c03d4e2e
+https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.11.0-6_h47877c9_openblas.conda#881d801569b201c2e753f03c84b85e15
+https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.11.0-6_h0358290_openblas.conda#36ae340a916635b97ac8a0655ace2a35
+https://conda.anaconda.org/conda-forge/linux-64/numpy-2.2.4-py313h17eae1a_0.conda#6c905a8f170edd64f3a390c76572e331
+https://conda.anaconda.org/conda-forge/linux-64/geos-3.14.1-h480dda7_0.conda#4d4efd0645cd556fab54617c4ad477ef
+https://conda.anaconda.org/conda-forge/linux-64/shapely-2.1.2-py313had47c43_2.conda#6e550dd748e9ac9b2925411684e076a1
+https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.15.0-pyhcf101f3_0.conda#0caa1af407ecff61170c9437a808404d
+https://conda.anaconda.org/conda-forge/noarch/mypy_extensions-1.1.0-pyha770c72_0.conda#e9c622e0d00fa24a6292279af3ab6d06
+https://conda.anaconda.org/conda-forge/noarch/typing_inspect-0.9.0-pyhd8ed1ab_1.conda#fa31df4d4193aabccaf09ce78a187faf
+https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.15.0-h396c80c_0.conda#edd329d7d3a4ab45dcf905899a7a6115
+https://conda.anaconda.org/conda-forge/noarch/zipp-3.23.0-pyhcf101f3_1.conda#30cd29cb87d819caead4d55184c1d115
+https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-8.8.0-pyhcf101f3_0.conda#080594bf4493e6bae2607e65390c520a
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diff --git a/workflow/envs/hydropower.osx-arm64.pin.txt b/workflow/envs/hydropower.osx-arm64.pin.txt
new file mode 100644
index 0000000..01a3aaf
--- /dev/null
+++ b/workflow/envs/hydropower.osx-arm64.pin.txt
@@ -0,0 +1,257 @@
+# Generated by `pixi workspace export`
+# platform: osx-arm64
+@EXPLICIT
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diff --git a/workflow/envs/hydropower.win-64.pin.txt b/workflow/envs/hydropower.win-64.pin.txt
new file mode 100644
index 0000000..53ce231
--- /dev/null
+++ b/workflow/envs/hydropower.win-64.pin.txt
@@ -0,0 +1,240 @@
+# Generated by `pixi workspace export`
+# platform: win-64
+@EXPLICIT
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