Merge branch 'feature/routing-refactor' into feature/routing-refactor-compare

This commit is contained in:
Emily Soth 2024-12-09 19:21:12 -08:00
commit 3c9b795d06
80 changed files with 14578 additions and 7572 deletions

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@ -53,7 +53,24 @@ jobs:
perl -0777 -i -pe \
"s/Unreleased Changes\n------------------/..\n Unreleased Changes\n ------------------\n\n${HEADER}\n${UNDERLINE}/g" \
HISTORY.rst
- name: Install dependencies
run: pip install rst2html5
- name: Generate changelog.html
run: rst2html5 HISTORY.rst workbench/changelog.html
- name: Update package.json version
uses: BellCubeDev/update-package-version-by-release-tag@v2
with:
version: ${{ inputs.version }}
package-json-path: workbench/package.json
- name: Commit updated HISTORY.rst, changelog.html, and package.json
run: |
git add HISTORY.rst
git add workbench/changelog.html
git add workbench/package.json
git commit -m "Committing the $VERSION release."
- name: Tag and push

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@ -99,7 +99,7 @@ jobs:
twine upload \
--username="__token__" \
--password=${{ secrets.PYPI_NATCAP_INVEST_TOKEN }} \
artifacts/natcap.invest*
artifacts/natcap.invest* artifacts/natcap_invest*
- name: Roll back on failure
if: failure()

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@ -48,6 +48,12 @@ Unreleased Changes
reflect changes in how InVEST is installed on modern systems, and also to
include images of the InVEST workbench instead of just broken links.
https://github.com/natcap/invest/issues/1660
* Updated translations for Spanish and Chinese
* natcap.invest now works with (and requires) ``gdal.UseExceptions``. A
``FutureWarning`` is raised on import if GDAL exceptions are not enabled.
* Fixed an issue on Windows where GDAL fails to find its DLLs due to
an interfering GDAL installation on the PATH, such as from anaconda.
https://github.com/natcap/invest/issues/1643
* Workbench
* Several small updates to the model input form UI to improve usability
and visual consistency (https://github.com/natcap/invest/issues/912).
@ -61,6 +67,8 @@ Unreleased Changes
(https://github.com/natcap/invest/issues/1609).
* Improved error handling when a datastack cannot be saved with relative
paths across drives (https://github.com/natcap/invest/issues/1608).
* The InVEST changelog now displays in the Workbench the first time a new
version is launched (https://github.com/natcap/invest/issues/1368).
* Coastal Vulnerability
* Fixed a regression where an AOI with multiple features could raise a
TypeError after intersecting with the landmass polygon.
@ -73,6 +81,18 @@ Unreleased Changes
(https://github.com/natcap/invest/issues/1615).
* Rarity values are now output in CSV format (as well as in raster format)
(https://github.com/natcap/invest/issues/721).
* Pollination
* Fixed an issue with nodata handling that was causing some outputs to be
filled either with the float32 value for positive infinity, or else with
a value very close to it. https://github.com/natcap/invest/issues/1635
* While working on https://github.com/natcap/invest/issues/1635, we also
updated the stated dtype of most pollination model outputs to be float32
instead of the float64 dtype that was being assumed previously. This
will result in smaller output filesizes with minimal loss of precision.
* Seasonal Water Yield
* Added support for zero padding in month numbers in ET and precipitation
file names (i.e., users can now name their file Precip_01.tif).
(https://github.com/natcap/invest/issues/1166)
* Urban Flood Risk
* Fields present on the input AOI vector are now retained in the output.
(https://github.com/natcap/invest/issues/1600)

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@ -10,7 +10,7 @@ GIT_TEST_DATA_REPO_REV := 324abde73e1d770ad75921466ecafd1ec6297752
GIT_UG_REPO := https://github.com/natcap/invest.users-guide
GIT_UG_REPO_PATH := doc/users-guide
GIT_UG_REPO_REV := f203ec069f9f03560c9a85b268e67ebb6b994953
GIT_UG_REPO_REV := 5ee3616d4549baf3b1e44e0fcef485145389e29a
ENV = "./env"
ifeq ($(OS),Windows_NT)
@ -66,6 +66,7 @@ PYTHON_ARCH := $(shell $(PYTHON) -c "import sys; print('x86' if sys.maxsize <= 2
GSUTIL := gsutil
SIGNTOOL := SignTool
RST2HTML5 := rst2html5
# local directory names
DIST_DIR := dist
@ -73,6 +74,8 @@ DIST_DATA_DIR := $(DIST_DIR)/data
BUILD_DIR := build
WORKBENCH := workbench
WORKBENCH_DIST_DIR := $(WORKBENCH)/dist
CHANGELOG_SRC := HISTORY.rst
CHANGELOG_DEST := $(WORKBENCH)/changelog.html
# The fork name and user here are derived from the git path on github.
# The fork name will need to be set manually (e.g. make FORKNAME=natcap/invest)
@ -141,6 +144,7 @@ help:
@echo " binaries to build pyinstaller binaries"
@echo " apidocs to build HTML API documentation"
@echo " userguide to build HTML version of the users guide"
@echo " changelog to build HTML version of the changelog"
@echo " python_packages to build natcap.invest wheel and source distributions"
@echo " codesign_mac to sign the mac disk image using the codesign utility"
@echo " codesign_windows to sign the windows installer using the SignTool utility"
@ -366,6 +370,9 @@ deploy:
@echo "Application binaries (if they were created) can be downloaded from:"
@echo " * $(DOWNLOAD_DIR_URL)"
changelog:
$(RST2HTML5) $(CHANGELOG_SRC) $(CHANGELOG_DEST)
# Notes on Makefile development
#
# * Use the -drR to show the decision tree (and none of the implicit rules)

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@ -35,7 +35,6 @@ General Information
Dependencies
------------
Run ``make check`` to test if all required dependencies are installed on your system.
OS-specific installation instructions are found either online at
http://invest.readthedocs.io/en/latest/installing.html or locally at ``doc/api-docs/installing.rst``.
@ -57,30 +56,50 @@ Or on Windows, use the following instead from a CMD prompt::
> make env
> .\env\bin\activate
This makefile target is included for convenience ... you may of course choose to
manage your own virtual environment. ``requirements.txt``,
``requirements-dev.txt`` and ``requirements-docs.txt`` list the python
dependencies needed.
This makefile target is included for convenience. It uses ``conda`` and installs packages from ``conda-forge``.
It also uses the `-p` flag with `conda create`, creating a `./env` folder containing the environment.
Using a different environment name
""""""""""""""""""""""""""""""""""
If you prefer a different name for your environment, you may pass the environment name as
Using a different environment folder name
"""""""""""""""""""""""""""""""""""""""""
If you prefer a different path for your environment, you may pass the environment path as
a parameter to make::
$ make ENV=myEnv env
You could then activate the environment created at ``myEnv``.
You could then activate the environment created at ``./myEnv``.
Using a different environment management tool
"""""""""""""""""""""""""""""""""""""""""""""
The InVEST Makefile uses ``virtualenv`` to set up an environment, but this is
not the only `environment management tool out there
<https://packaging.python.org/tutorials/installing-packages/#creating-virtual-environments>`_.
You may elect to manage your virtual environment a different way, independent
of ``make env``. The only requirement for the build process is that the required
tools are available on your PATH and the required python packages can be imported.
You may of course choose to manage your own virtual environment without using the Makefile.
We suggest using ``conda`` or ``mamba`` and ``conda-forge``.
``requirements.txt``, ``requirements-dev.txt`` and ``requirements-docs.txt`` list the python
dependencies needed.
Installing ``natcap.invest`` from local source code
"""""""""""""""""""""""""""""""""""""""""""""""""""
From an activated virtual environment, it's safest to uninstall any existing installation
and then install `natcap.invest`::
$ pip uninstall natcap.invest
$ make install
In practice, it can be convenient to use an "editable install" instead to avoid needing
to uninstall & re-install after making changes to source code::
$ pip install -e .
Note that with an editable install any changes to non-Python (Cython, C++) files will
require compilation using one of the above installation methods.
*The Workbench is not part of the* ``natcap.invest`` *Python package. See*
``workbench/readme.md`` *for developer details.*
A successful ``natcap.invest`` installation will include the InVEST CLI::
$ invest list
Building InVEST Distributions
-----------------------------
@ -150,6 +169,13 @@ To build the user's guide::
This will build HTML and PDF documentation, writing them to ``dist/userguide``
and ``dist/InVEST_*_Documentation.pdf``, respectively.
The User's Guide is maintained in a separate git repository. InVEST will build
the User's Guide with the commit defined in the ``Makefile``::
GIT_UG_REPO := https://github.com/natcap/invest.users-guide
GIT_UG_REPO_PATH := doc/users-guide
GIT_UG_REPO_REV := f203ec069f9f03560c9a85b268e67ebb6b994953
API Documentation
+++++++++++++++++
@ -173,22 +199,12 @@ build zip archives of the sample data::
This will write the data zipfiles to ``dist/data``. ``git`` command is needed.
Single archive of sample data
+++++++++++++++++++++++++++++
For trainings, it is especially convenient to distribute all sample data as a
single zip archive. As an added bonus, this single zip archive can be provided
to the InVEST installer for Windows as either the 'Advanced' input on the front
page of the installer, or by a CLI flag, thus preventing the installer from
downloading datasets from the internet. See
``installer/windows/invest_installer.nsi`` for more details. To build a single
archive of all InVEST sample data::
$ make sampledata_single
This will write the single sampledata archive to
``dist/InVEST_*_sample_data.zip``.
Sample data is tracked in a ``git-lfs`` repo and will be packaged based on the commit
defined in the ``Makefile``::
GIT_SAMPLE_DATA_REPO := https://bitbucket.org/natcap/invest-sample-data.git
GIT_SAMPLE_DATA_REPO_PATH := $(DATA_DIR)/invest-sample-data
GIT_SAMPLE_DATA_REPO_REV := 0f8b41557753dad3670ba8220f41650b51435a93
Tests
-----
@ -202,6 +218,16 @@ To run tests on the suite of Ecosystem Service models in InVEST::
$ make test
Tests depend on test data that is tracked in a ``git-lfs`` repo defined in the ``Makefile``::
GIT_TEST_DATA_REPO := https://bitbucket.org/natcap/invest-test-data.git
GIT_TEST_DATA_REPO_PATH := $(DATA_DIR)/invest-test-data
GIT_TEST_DATA_REPO_REV := 324abde73e1d770ad75921466ecafd1ec6297752
Test data (and Sample Data) can be retrieved using::
$ make fetch
Changing how GNU make runs tests
++++++++++++++++++++++++++++++++

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@ -5,14 +5,17 @@ import sys
os.environ['PROJ_LIB'] = os.path.join(sys._MEIPASS, 'proj')
if platform.system() == 'Darwin':
# This allows Qt 5.13+ to start on Big Sur.
# See https://bugreports.qt.io/browse/QTBUG-87014
# and https://github.com/natcap/invest/issues/384
os.environ['QT_MAC_WANTS_LAYER'] = '1'
# Rtree will look in this directory first for libspatialindex_c.dylib.
# In response to issues with github mac binary builds:
# https://github.com/natcap/invest/issues/594
# sys._MEIPASS is the path to where the pyinstaller entrypoint bundle
# lives. See the pyinstaller docs for more details.
os.environ['SPATIALINDEX_C_LIBRARY'] = sys._MEIPASS
if platform.system() == 'Windows':
# sys._MEIPASS contains gdal DLLs. It does not otherwise end
# up on the PATH, which means that gdal can discover
# incompatible DLLs from some other place on the PATH, such
# as an anaconda gdal installation.
if 'PATH' in os.environ:
os.environ['PATH'] = f"{sys._MEIPASS};{os.environ['PATH']}"

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@ -26,3 +26,4 @@ requests
coverage
xlwt
build # pip-only
rst2html5

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@ -2,3 +2,4 @@ Sphinx>=1.3.1,!=1.7.1
sphinx-rtd-theme
sphinx-intl
sphinx-reredirects
pyyaml

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@ -4,8 +4,10 @@ import logging
import os
import sys
from gettext import translation
import warnings
import babel
from osgeo import gdal
LOGGER = logging.getLogger('natcap.invest')
LOGGER.addHandler(logging.NullHandler())
@ -28,6 +30,14 @@ LOCALE_NAME_MAP = {
locale: babel.Locale(locale).display_name for locale in LOCALES
}
if not gdal.GetUseExceptions():
warnings.warn(('''
natcap.invest requires GDAL exceptions to be enabled. You must
call gdal.UseExceptions() to avoid unexpected behavior from
natcap.invest. A future version will enable exceptions on import.
gdal.UseExceptions() affects global state, so this may affect the
behavior of other packages.'''), FutureWarning)
def set_locale(locale_code):
"""Set the `gettext` attribute of natcap.invest.

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@ -12,14 +12,15 @@ import sys
import textwrap
import warnings
import natcap.invest
from natcap.invest import datastack
from natcap.invest import model_metadata
from natcap.invest import set_locale
from natcap.invest import spec_utils
from natcap.invest import ui_server
from natcap.invest import utils
from pygeoprocessing.geoprocessing_core import GDALUseExceptions
with GDALUseExceptions():
import natcap.invest
from natcap.invest import datastack
from natcap.invest import model_metadata
from natcap.invest import set_locale
from natcap.invest import spec_utils
from natcap.invest import ui_server
from natcap.invest import utils
DEFAULT_EXIT_CODE = 1
LOGGER = logging.getLogger(__name__)
@ -218,267 +219,268 @@ def main(user_args=None):
so models may be run in this way without having GUI packages
installed.
"""
parser = argparse.ArgumentParser(
description=(
'Integrated Valuation of Ecosystem Services and Tradeoffs. '
'InVEST (Integrated Valuation of Ecosystem Services and '
'Tradeoffs) is a family of tools for quantifying the values of '
'natural capital in clear, credible, and practical ways. In '
'promising a return (of societal benefits) on investments in '
'nature, the scientific community needs to deliver knowledge and '
'tools to quantify and forecast this return. InVEST enables '
'decision-makers to quantify the importance of natural capital, '
'to assess the tradeoffs associated with alternative choices, '
'and to integrate conservation and human development. \n\n'
'Older versions of InVEST ran as script tools in the ArcGIS '
'ArcToolBox environment, but have almost all been ported over to '
'a purely open-source python environment.'),
prog='invest'
)
parser.add_argument('--version', action='version',
version=natcap.invest.__version__)
verbosity_group = parser.add_mutually_exclusive_group()
verbosity_group.add_argument(
'-v', '--verbose', dest='verbosity', default=0, action='count',
help=('Increase verbosity. Affects how much logging is printed to '
'the console and (if running in headless mode) how much is '
'written to the logfile.'))
verbosity_group.add_argument(
'--debug', dest='log_level', default=logging.ERROR,
action='store_const', const=logging.DEBUG,
help='Enable debug logging. Alias for -vvv')
with GDALUseExceptions():
parser = argparse.ArgumentParser(
description=(
'Integrated Valuation of Ecosystem Services and Tradeoffs. '
'InVEST (Integrated Valuation of Ecosystem Services and '
'Tradeoffs) is a family of tools for quantifying the values of '
'natural capital in clear, credible, and practical ways. In '
'promising a return (of societal benefits) on investments in '
'nature, the scientific community needs to deliver knowledge and '
'tools to quantify and forecast this return. InVEST enables '
'decision-makers to quantify the importance of natural capital, '
'to assess the tradeoffs associated with alternative choices, '
'and to integrate conservation and human development. \n\n'
'Older versions of InVEST ran as script tools in the ArcGIS '
'ArcToolBox environment, but have almost all been ported over to '
'a purely open-source python environment.'),
prog='invest'
)
parser.add_argument('--version', action='version',
version=natcap.invest.__version__)
verbosity_group = parser.add_mutually_exclusive_group()
verbosity_group.add_argument(
'-v', '--verbose', dest='verbosity', default=0, action='count',
help=('Increase verbosity. Affects how much logging is printed to '
'the console and (if running in headless mode) how much is '
'written to the logfile.'))
verbosity_group.add_argument(
'--debug', dest='log_level', default=logging.ERROR,
action='store_const', const=logging.DEBUG,
help='Enable debug logging. Alias for -vvv')
parser.add_argument(
'--taskgraph-log-level', dest='taskgraph_log_level', default='ERROR',
type=str, choices=['DEBUG', 'INFO', 'WARNING', 'ERROR'],
help=('Set the logging level for Taskgraph. Affects how much logging '
'Taskgraph prints to the console and (if running in headless '
'mode) how much is written to the logfile.'))
parser.add_argument(
'--taskgraph-log-level', dest='taskgraph_log_level', default='ERROR',
type=str, choices=['DEBUG', 'INFO', 'WARNING', 'ERROR'],
help=('Set the logging level for Taskgraph. Affects how much logging '
'Taskgraph prints to the console and (if running in headless '
'mode) how much is written to the logfile.'))
# list the language code and corresponding language name (in that language)
supported_languages_string = ', '.join([
f'{locale} ({display_name})'
for locale, display_name in natcap.invest.LOCALE_NAME_MAP.items()])
parser.add_argument(
'-L', '--language', default='en',
choices=natcap.invest.LOCALES,
help=('Choose a language. Model specs, names, and validation messages '
'will be translated. Log messages are not translated. Value '
'should be an ISO 639-1 language code. Supported options are: '
f'{supported_languages_string}.'))
# list the language code and corresponding language name (in that language)
supported_languages_string = ', '.join([
f'{locale} ({display_name})'
for locale, display_name in natcap.invest.LOCALE_NAME_MAP.items()])
parser.add_argument(
'-L', '--language', default='en',
choices=natcap.invest.LOCALES,
help=('Choose a language. Model specs, names, and validation messages '
'will be translated. Log messages are not translated. Value '
'should be an ISO 639-1 language code. Supported options are: '
f'{supported_languages_string}.'))
subparsers = parser.add_subparsers(dest='subcommand')
subparsers = parser.add_subparsers(dest='subcommand')
listmodels_subparser = subparsers.add_parser(
'list', help='List the available InVEST models')
listmodels_subparser.add_argument(
'--json', action='store_true', help='Write output as a JSON object')
listmodels_subparser = subparsers.add_parser(
'list', help='List the available InVEST models')
listmodels_subparser.add_argument(
'--json', action='store_true', help='Write output as a JSON object')
run_subparser = subparsers.add_parser(
'run', help='Run an InVEST model')
# Recognize '--headless' for backwards compatibility.
# This arg is otherwise unused.
run_subparser.add_argument(
'-l', '--headless', action='store_true',
help=argparse.SUPPRESS)
run_subparser.add_argument(
'-d', '--datastack', default=None, nargs='?',
help=('Run the specified model with this JSON datastack. '
'Required if using --headless'))
run_subparser.add_argument(
'-w', '--workspace', default=None, nargs='?',
help=('The workspace in which outputs will be saved. '
'Required if using --headless'))
run_subparser.add_argument(
'model', action=SelectModelAction, # Assert valid model name
help=('The model to run. Use "invest list" to list the available '
'models.'))
run_subparser = subparsers.add_parser(
'run', help='Run an InVEST model')
# Recognize '--headless' for backwards compatibility.
# This arg is otherwise unused.
run_subparser.add_argument(
'-l', '--headless', action='store_true',
help=argparse.SUPPRESS)
run_subparser.add_argument(
'-d', '--datastack', default=None, nargs='?',
help=('Run the specified model with this JSON datastack. '
'Required if using --headless'))
run_subparser.add_argument(
'-w', '--workspace', default=None, nargs='?',
help=('The workspace in which outputs will be saved. '
'Required if using --headless'))
run_subparser.add_argument(
'model', action=SelectModelAction, # Assert valid model name
help=('The model to run. Use "invest list" to list the available '
'models.'))
validate_subparser = subparsers.add_parser(
'validate', help=(
'Validate the parameters of a datastack'))
validate_subparser.add_argument(
'--json', action='store_true', help='Write output as a JSON object')
validate_subparser.add_argument(
'datastack', help=('Path to a JSON datastack.'))
validate_subparser = subparsers.add_parser(
'validate', help=(
'Validate the parameters of a datastack'))
validate_subparser.add_argument(
'--json', action='store_true', help='Write output as a JSON object')
validate_subparser.add_argument(
'datastack', help=('Path to a JSON datastack.'))
getspec_subparser = subparsers.add_parser(
'getspec', help=('Get the specification of a model.'))
getspec_subparser.add_argument(
'--json', action='store_true', help='Write output as a JSON object')
getspec_subparser.add_argument(
'model', action=SelectModelAction, # Assert valid model name
help=('The model for which the spec should be fetched. Use "invest '
'list" to list the available models.'))
getspec_subparser = subparsers.add_parser(
'getspec', help=('Get the specification of a model.'))
getspec_subparser.add_argument(
'--json', action='store_true', help='Write output as a JSON object')
getspec_subparser.add_argument(
'model', action=SelectModelAction, # Assert valid model name
help=('The model for which the spec should be fetched. Use "invest '
'list" to list the available models.'))
serve_subparser = subparsers.add_parser(
'serve', help=('Start the flask app on the localhost.'))
serve_subparser.add_argument(
'--port', type=int, default=56789,
help='Port number for the Flask server')
serve_subparser = subparsers.add_parser(
'serve', help=('Start the flask app on the localhost.'))
serve_subparser.add_argument(
'--port', type=int, default=56789,
help='Port number for the Flask server')
export_py_subparser = subparsers.add_parser(
'export-py', help=('Save a python script that executes a model.'))
export_py_subparser.add_argument(
'model', action=SelectModelAction, # Assert valid model name
help=('The model that the python script will execute. Use "invest '
'list" to list the available models.'))
export_py_subparser.add_argument(
'-f', '--filepath', default=None,
help='Define a location for the saved .py file')
export_py_subparser = subparsers.add_parser(
'export-py', help=('Save a python script that executes a model.'))
export_py_subparser.add_argument(
'model', action=SelectModelAction, # Assert valid model name
help=('The model that the python script will execute. Use "invest '
'list" to list the available models.'))
export_py_subparser.add_argument(
'-f', '--filepath', default=None,
help='Define a location for the saved .py file')
args = parser.parse_args(user_args)
natcap.invest.set_locale(args.language)
args = parser.parse_args(user_args)
natcap.invest.set_locale(args.language)
root_logger = logging.getLogger()
handler = logging.StreamHandler(sys.stdout)
formatter = logging.Formatter(
fmt='%(asctime)s %(name)-18s %(levelname)-8s %(message)s',
datefmt='%m/%d/%Y %H:%M:%S ')
handler.setFormatter(formatter)
root_logger = logging.getLogger()
handler = logging.StreamHandler(sys.stdout)
formatter = logging.Formatter(
fmt='%(asctime)s %(name)-18s %(levelname)-8s %(message)s',
datefmt='%m/%d/%Y %H:%M:%S ')
handler.setFormatter(formatter)
# Set the log level based on what the user provides in the available
# arguments. Verbosity: the more v's the lower the logging threshold.
# If --debug is used, the logging threshold is 10.
# If the user goes lower than logging.DEBUG, default to logging.DEBUG.
log_level = min(args.log_level, logging.ERROR - (args.verbosity*10))
handler.setLevel(max(log_level, logging.DEBUG)) # don't go below DEBUG
root_logger.addHandler(handler)
LOGGER.info('Setting handler log level to %s', log_level)
# Set the log level based on what the user provides in the available
# arguments. Verbosity: the more v's the lower the logging threshold.
# If --debug is used, the logging threshold is 10.
# If the user goes lower than logging.DEBUG, default to logging.DEBUG.
log_level = min(args.log_level, logging.ERROR - (args.verbosity*10))
handler.setLevel(max(log_level, logging.DEBUG)) # don't go below DEBUG
root_logger.addHandler(handler)
LOGGER.info('Setting handler log level to %s', log_level)
# Set the log level for taskgraph.
taskgraph_log_level = logging.getLevelName(args.taskgraph_log_level.upper())
logging.getLogger('taskgraph').setLevel(taskgraph_log_level)
LOGGER.debug('Setting taskgraph log level to %s', taskgraph_log_level)
# Set the log level for taskgraph.
taskgraph_log_level = logging.getLevelName(args.taskgraph_log_level.upper())
logging.getLogger('taskgraph').setLevel(taskgraph_log_level)
LOGGER.debug('Setting taskgraph log level to %s', taskgraph_log_level)
# FYI: Root logger by default has a level of logging.WARNING.
# To capture ALL logging produced in this system at runtime, use this:
# logging.getLogger().setLevel(logging.DEBUG)
# Also FYI: using logging.DEBUG means that the logger will defer to
# the setting of the parent logger.
logging.getLogger('natcap').setLevel(logging.DEBUG)
# FYI: Root logger by default has a level of logging.WARNING.
# To capture ALL logging produced in this system at runtime, use this:
# logging.getLogger().setLevel(logging.DEBUG)
# Also FYI: using logging.DEBUG means that the logger will defer to
# the setting of the parent logger.
logging.getLogger('natcap').setLevel(logging.DEBUG)
if args.subcommand == 'list':
# reevaluate the model names in the new language
importlib.reload(model_metadata)
if args.json:
message = build_model_list_json()
else:
message = build_model_list_table()
sys.stdout.write(message)
parser.exit()
if args.subcommand == 'validate':
try:
parsed_datastack = datastack.extract_parameter_set(args.datastack)
except Exception as error:
parser.exit(
1, "Error when parsing JSON datastack:\n " + str(error))
# reload validation module first so it's also in the correct language
importlib.reload(importlib.import_module('natcap.invest.validation'))
model_module = importlib.reload(importlib.import_module(
name=parsed_datastack.model_name))
try:
validation_result = model_module.validate(parsed_datastack.args)
except KeyError as missing_keys_error:
if args.subcommand == 'list':
# reevaluate the model names in the new language
importlib.reload(model_metadata)
if args.json:
message = json.dumps(
{'validation_results': {
str(list(missing_keys_error.args)): 'Key is missing'}})
message = build_model_list_json()
else:
message = ('Datastack is missing keys:\n ' +
str(missing_keys_error.args))
message = build_model_list_table()
# Missing keys have an exit code of 1 because that would indicate
# probably programmer error.
sys.stdout.write(message)
parser.exit(1)
except Exception as error:
parser.exit(
1, ('Datastack could not be validated:\n ' +
str(error)))
parser.exit()
# Even validation errors will have an exit code of 0
if args.json:
message = json.dumps({
'validation_results': validation_result})
else:
message = pprint.pformat(validation_result)
sys.stdout.write(message)
parser.exit(0)
if args.subcommand == 'getspec':
target_model = model_metadata.MODEL_METADATA[args.model].pyname
model_module = importlib.reload(
importlib.import_module(name=target_model))
spec = model_module.MODEL_SPEC
if args.json:
message = spec_utils.serialize_args_spec(spec)
else:
message = pprint.pformat(spec)
sys.stdout.write(message)
parser.exit(0)
if args.subcommand == 'run':
if args.headless:
warnings.warn(
'--headless (-l) is now the default (and only) behavior '
'for `invest run`. This flag will not be recognized '
'in the future.', FutureWarning, stacklevel=2) # 2 for brevity
if not args.datastack:
parser.exit(1, 'Datastack required for execution.')
try:
parsed_datastack = datastack.extract_parameter_set(args.datastack)
except Exception as error:
parser.exit(
1, "Error when parsing JSON datastack:\n " + str(error))
if not args.workspace:
if ('workspace_dir' not in parsed_datastack.args or
parsed_datastack.args['workspace_dir'] in ['', None]):
if args.subcommand == 'validate':
try:
parsed_datastack = datastack.extract_parameter_set(args.datastack)
except Exception as error:
parser.exit(
1, ('Workspace must be defined at the command line '
'or in the datastack file'))
else:
parsed_datastack.args['workspace_dir'] = args.workspace
1, "Error when parsing JSON datastack:\n " + str(error))
target_model = model_metadata.MODEL_METADATA[args.model].pyname
model_module = importlib.import_module(name=target_model)
LOGGER.info('Imported target %s from %s',
model_module.__name__, model_module)
# reload validation module first so it's also in the correct language
importlib.reload(importlib.import_module('natcap.invest.validation'))
model_module = importlib.reload(importlib.import_module(
name=parsed_datastack.model_name))
with utils.prepare_workspace(parsed_datastack.args['workspace_dir'],
name=parsed_datastack.model_name,
logging_level=log_level):
LOGGER.log(datastack.ARGS_LOG_LEVEL,
'Starting model with parameters: \n%s',
datastack.format_args_dict(parsed_datastack.args,
parsed_datastack.model_name))
try:
validation_result = model_module.validate(parsed_datastack.args)
except KeyError as missing_keys_error:
if args.json:
message = json.dumps(
{'validation_results': {
str(list(missing_keys_error.args)): 'Key is missing'}})
else:
message = ('Datastack is missing keys:\n ' +
str(missing_keys_error.args))
# We're deliberately not validating here because the user
# can just call ``invest validate <datastack>`` to validate.
#
# Exceptions will already be logged to the logfile but will ALSO be
# written to stdout if this exception is uncaught. This is by
# design.
model_module.execute(parsed_datastack.args)
# Missing keys have an exit code of 1 because that would indicate
# probably programmer error.
sys.stdout.write(message)
parser.exit(1)
except Exception as error:
parser.exit(
1, ('Datastack could not be validated:\n ' +
str(error)))
if args.subcommand == 'serve':
ui_server.app.run(port=args.port)
parser.exit(0)
# Even validation errors will have an exit code of 0
if args.json:
message = json.dumps({
'validation_results': validation_result})
else:
message = pprint.pformat(validation_result)
if args.subcommand == 'export-py':
target_filepath = args.filepath
if not args.filepath:
target_filepath = f'{args.model}_execute.py'
export_to_python(target_filepath, args.model)
parser.exit()
sys.stdout.write(message)
parser.exit(0)
if args.subcommand == 'getspec':
target_model = model_metadata.MODEL_METADATA[args.model].pyname
model_module = importlib.reload(
importlib.import_module(name=target_model))
spec = model_module.MODEL_SPEC
if args.json:
message = spec_utils.serialize_args_spec(spec)
else:
message = pprint.pformat(spec)
sys.stdout.write(message)
parser.exit(0)
if args.subcommand == 'run':
if args.headless:
warnings.warn(
'--headless (-l) is now the default (and only) behavior '
'for `invest run`. This flag will not be recognized '
'in the future.', FutureWarning, stacklevel=2) # 2 for brevity
if not args.datastack:
parser.exit(1, 'Datastack required for execution.')
try:
parsed_datastack = datastack.extract_parameter_set(args.datastack)
except Exception as error:
parser.exit(
1, "Error when parsing JSON datastack:\n " + str(error))
if not args.workspace:
if ('workspace_dir' not in parsed_datastack.args or
parsed_datastack.args['workspace_dir'] in ['', None]):
parser.exit(
1, ('Workspace must be defined at the command line '
'or in the datastack file'))
else:
parsed_datastack.args['workspace_dir'] = args.workspace
target_model = model_metadata.MODEL_METADATA[args.model].pyname
model_module = importlib.import_module(name=target_model)
LOGGER.info('Imported target %s from %s',
model_module.__name__, model_module)
with utils.prepare_workspace(parsed_datastack.args['workspace_dir'],
name=parsed_datastack.model_name,
logging_level=log_level):
LOGGER.log(datastack.ARGS_LOG_LEVEL,
'Starting model with parameters: \n%s',
datastack.format_args_dict(parsed_datastack.args,
parsed_datastack.model_name))
# We're deliberately not validating here because the user
# can just call ``invest validate <datastack>`` to validate.
#
# Exceptions will already be logged to the logfile but will ALSO be
# written to stdout if this exception is uncaught. This is by
# design.
model_module.execute(parsed_datastack.args)
if args.subcommand == 'serve':
ui_server.app.run(port=args.port)
parser.exit(0)
if args.subcommand == 'export-py':
target_filepath = args.filepath
if not args.filepath:
target_filepath = f'{args.model}_execute.py'
export_to_python(target_filepath, args.model)
parser.exit()
if __name__ == '__main__':

View File

@ -1737,15 +1737,16 @@ def extract_bathymetry_along_ray(
iy = int((point.y - bathy_gt[3]) / bathy_gt[5])
win_size = 1
value = bathy_band.ReadAsArray(
xoff=ix, yoff=iy,
win_xsize=win_size, win_ysize=win_size)
if value is None:
try:
value = bathy_band.ReadAsArray(
xoff=ix, yoff=iy,
win_xsize=win_size, win_ysize=win_size)
except RuntimeError as ex:
location = {'xoff': ix, 'yoff': iy, 'win_xsize': win_size,
'win_ysize': win_size}
raise ValueError(
f'got a {value} when trying to read bathymetry at {location}. '
'Does the bathymetry input fully cover the fetch ray area?')
f'Failed to read bathymetry at {location}. Does the bathymetry '
'input fully cover the fetch ray area?') from ex
if bathy_nodata is None or not numpy.isclose(
value[0][0], bathy_nodata, equal_nan=True):
bathy_values.append(value)
@ -2468,25 +2469,26 @@ def search_for_vector_habitat(
geometry = feature.GetGeometryRef()
if not geometry.IsValid():
geometry = geometry.Buffer(0) # sometimes this fixes geometry
if geometry is not None: # geometry is None if the buffer failed.
clipped_geometry = geometry.Intersection(base_srs_clipping_geom)
if not clipped_geometry.IsEmpty():
if target_spatial_reference != base_spatial_reference:
err_code = clipped_geometry.Transform(transform)
if err_code != 0:
LOGGER.warning(
f"Could not transform feature from "
f"{habitat_vector_path} to spatial reference "
"system of AOI")
continue
shapely_geom = shapely.wkb.loads(
bytes(clipped_geometry.ExportToWkb()))
shapely_geometry_list.extend(_list_geometry(shapely_geom))
else:
LOGGER.warning(
f"FID {feature.GetFID()} in {habitat_vector_path} has invalid "
"geometry and will be excluded")
try:
geometry = geometry.Buffer(0) # sometimes this fixes geometry
except RuntimeError:
LOGGER.warning(
f"FID {feature.GetFID()} in {habitat_vector_path} has invalid "
"geometry and will be excluded")
continue
clipped_geometry = geometry.Intersection(base_srs_clipping_geom)
if not clipped_geometry.IsEmpty():
if target_spatial_reference != base_spatial_reference:
err_code = clipped_geometry.Transform(transform)
if err_code != 0:
LOGGER.warning(
f"Could not transform feature from "
f"{habitat_vector_path} to spatial reference "
"system of AOI")
continue
shapely_geom = shapely.wkb.loads(
bytes(clipped_geometry.ExportToWkb()))
shapely_geometry_list.extend(_list_geometry(shapely_geom))
if not shapely_geometry_list:
LOGGER.warning(f'No valid features exist in {habitat_vector_path}')

View File

@ -782,14 +782,17 @@ def _build_spatial_index(
# put all the polygons in the kd_tree because it's fast and simple
for poly_feature in model_layer:
poly_geom = poly_feature.GetGeometryRef()
poly_centroid = poly_geom.Centroid()
# put in row/col order since rasters are row/col indexed
kd_points.append([poly_centroid.GetY(), poly_centroid.GetX()])
if poly_geom.IsValid():
poly_centroid = poly_geom.Centroid()
# put in row/col order since rasters are row/col indexed
kd_points.append([poly_centroid.GetY(), poly_centroid.GetX()])
theta_model_parameters.append([
poly_feature.GetField(feature_id) for feature_id in
['theta1', 'theta2', 'theta3']])
method_model_parameter.append(poly_feature.GetField('method'))
theta_model_parameters.append([
poly_feature.GetField(feature_id) for feature_id in
['theta1', 'theta2', 'theta3']])
method_model_parameter.append(poly_feature.GetField('method'))
else:
LOGGER.warning(f'skipping invalid geometry {poly_geom}')
method_model_parameter = numpy.array(
method_model_parameter, dtype=numpy.int32)

View File

@ -27,7 +27,8 @@ When we are ready to get a new batch of translations, here is the process. These
pybabel extract \
--no-wrap \
--project InVEST \
--msgid-bugs-address esoth@stanford.edu \
--version $(python -m setuptools_scm) \
--msgid-bugs-address natcap-software@lists.stanford.edu \
--copyright-holder "Natural Capital Project" \
--output src/natcap/invest/internationalization/messages.pot \
src/
@ -38,6 +39,7 @@ pybabel update \
--input-file src/natcap/invest/internationalization/messages.pot \
--output-file src/natcap/invest/internationalization/locales/$LL/LC_MESSAGES/messages.po
```
This looks through the source code for strings wrapped in the `gettext(...)` function and writes them to the message catalog template. Then it updates the message catalog for the specificed language. New strings that don't yet have a translation will have an empty `msgstr` value. Previously translated messages that are no longer needed will be commented out but remain in the file. This will save translator time if they're needed again in the future.
2. Check that the changes look correct, then commit:
```
@ -45,7 +47,6 @@ git diff
git add src/natcap/invest/internationalization/messages.pot src/natcap/invest/internationalization/locales/$LL/LC_MESSAGES/messages.po
git commit -m "extract message catalog template and update $LL catalog from it"
```
This looks through the source code for strings wrapped in the `gettext(...)` function and writes them to the message catalog template. Then it updates the message catalog for the specificed language. New strings that don't yet have a translation will have an empty `msgstr` value. Previously translated messages that are no longer needed will be commented out but remain in the file. This will save translator time if they're needed again in the future.
3. Send `src/natcap/invest/internationalization/locales/$LL/LC_MESSAGES/messages.po` to the translator and wait to get it back. The translator will fill in the `msgstr` values for any new or edited messages.

File diff suppressed because it is too large Load Diff

View File

@ -855,6 +855,7 @@ def execute(args):
floral_resources_index_path_map[species],
convolve_ps_path],
target_path=pollinator_abundance_path,
target_dtype=numpy.float32,
target_nodata=_INDEX_NODATA),
dependent_task_list=[
foraged_flowers_index_task_map[(species, season)],
@ -935,7 +936,9 @@ def execute(args):
rasters=[
half_saturation_raster_path,
total_pollinator_abundance_index_path],
target_path=farm_pollinator_season_path),
target_path=farm_pollinator_season_path,
target_dtype=numpy.float32,
target_nodata=_INDEX_NODATA),
dependent_task_list=[
half_saturation_task, total_pollinator_abundance_task[season]],
target_path_list=[farm_pollinator_season_path]))
@ -976,7 +979,9 @@ def execute(args):
kwargs=dict(
op=pyt_op,
rasters=[managed_pollinator_path, farm_pollinator_path],
target_path=total_pollinator_yield_path),
target_path=total_pollinator_yield_path,
target_dtype=numpy.float32,
target_nodata=_INDEX_NODATA),
dependent_task_list=[farm_pollinator_task, managed_pollinator_task],
target_path_list=[total_pollinator_yield_path])
@ -984,12 +989,14 @@ def execute(args):
wild_pollinator_yield_path = os.path.join(
output_dir, _WILD_POLLINATOR_YIELD_FILE_PATTERN % file_suffix)
wild_pollinator_task = task_graph.add_task(
task_name='calcualte_wild_pollinators',
task_name='calculate_wild_pollinators',
func=pygeoprocessing.raster_map,
kwargs=dict(
op=pyw_op,
rasters=[managed_pollinator_path, total_pollinator_yield_path],
target_path=wild_pollinator_yield_path),
target_path=wild_pollinator_yield_path,
target_dtype=numpy.float32,
target_nodata=_INDEX_NODATA),
dependent_task_list=[pyt_task, managed_pollinator_task],
target_path_list=[wild_pollinator_yield_path])
@ -1392,7 +1399,8 @@ def _sum_arrays(*array_list):
result = numpy.empty_like(array_list[0])
result[:] = 0
for array in array_list:
local_valid_mask = ~pygeoprocessing.array_equals_nodata(array, _INDEX_NODATA)
local_valid_mask = ~pygeoprocessing.array_equals_nodata(
array, _INDEX_NODATA)
result[local_valid_mask] += array[local_valid_mask]
valid_mask |= local_valid_mask
result[~valid_mask] = _INDEX_NODATA
@ -1423,6 +1431,7 @@ def _calculate_habitat_nesting_index(
pygeoprocessing.raster_map(
op=max_op,
rasters=substrate_path_list,
target_dtype=numpy.float32,
target_path=target_habitat_nesting_index_path)
@ -1432,6 +1441,7 @@ def _multiply_by_scalar(raster_path, scalar, target_path):
op=lambda array: array * scalar,
rasters=[raster_path],
target_path=target_path,
target_dtype=numpy.float32,
target_nodata=_INDEX_NODATA,
)
@ -1455,6 +1465,7 @@ def _calculate_pollinator_supply_index(
op=lambda f_r, h_n: species_abundance * f_r * h_n,
rasters=[habitat_nesting_suitability_path, floral_resources_path],
target_path=target_path,
target_dtype=numpy.float32,
target_nodata=_INDEX_NODATA
)

View File

@ -1603,26 +1603,18 @@ def _validate_same_projection(base_vector_path, table_path):
invalid_projections = False
for path in data_paths:
def error_handler(err_level, err_no, err_msg):
"""Empty error handler to avoid stderr output."""
pass
gdal.PushErrorHandler(error_handler)
raster = gdal.OpenEx(path, gdal.OF_RASTER)
gdal.PopErrorHandler()
if raster is not None:
gis_type = pygeoprocessing.get_gis_type(path)
if gis_type == pygeoprocessing.UNKNOWN_TYPE:
return f"{path} did not load"
elif gis_type == pygeoprocessing.RASTER_TYPE:
raster = gdal.OpenEx(path, gdal.OF_RASTER)
projection_as_str = raster.GetProjection()
ref = osr.SpatialReference()
ref.ImportFromWkt(projection_as_str)
raster = None
else:
vector = gdal.OpenEx(path, gdal.OF_VECTOR)
if vector is None:
return f"{path} did not load"
layer = vector.GetLayer()
ref = osr.SpatialReference(layer.GetSpatialRef().ExportToWkt())
layer = None
vector = None
if not base_ref.IsSame(ref):
invalid_projections = True
if invalid_projections:

View File

@ -659,33 +659,8 @@ def execute(args):
output_align_list = [
file_registry['lulc_aligned_path'], file_registry['dem_aligned_path']]
if not args['user_defined_local_recharge']:
precip_path_list = []
et0_path_list = []
et0_dir_list = [
os.path.join(args['et0_dir'], f) for f in os.listdir(
args['et0_dir'])]
precip_dir_list = [
os.path.join(args['precip_dir'], f) for f in os.listdir(
args['precip_dir'])]
for month_index in range(1, N_MONTHS + 1):
month_file_match = re.compile(r'.*[^\d]%d\.[^.]+$' % month_index)
for data_type, dir_list, path_list in [
('et0', et0_dir_list, et0_path_list),
('Precip', precip_dir_list, precip_path_list)]:
file_list = [
month_file_path for month_file_path in dir_list
if month_file_match.match(month_file_path)]
if len(file_list) == 0:
raise ValueError(
"No %s found for month %d" % (data_type, month_index))
if len(file_list) > 1:
raise ValueError(
"Ambiguous set of files found for month %d: %s" %
(month_index, file_list))
path_list.append(file_list[0])
precip_path_list = _get_monthly_file_lists(N_MONTHS, args['precip_dir'])
et0_path_list = _get_monthly_file_lists(N_MONTHS, args['et0_dir'])
input_align_list = (
precip_path_list + [args['soil_group_path']] + et0_path_list +
@ -1380,6 +1355,42 @@ def _aggregate_recharge(
aggregate_vector = None
def _get_monthly_file_lists(n_months, in_dir):
"""Create list of monthly files for data type
Parameters:
n_months (int): Number of months to iterate over (should be 12)
in_dir (string): Path to directory of monthly files (for specific
data type)
Raises:
ValueError: If no file or multiple files are found for a month
Returns:
list: contains monthly file paths for data type
"""
in_path_list = [os.path.join(in_dir, f) for f in os.listdir(in_dir)]
out_path_list = []
for month_index in range(1, n_months + 1):
month_file_pattern = re.compile(r'.*[^\d]0?%d\.[^.]+$' % month_index)
file_list = [
month_file_path for month_file_path in in_path_list
if month_file_pattern.match(month_file_path)]
if len(file_list) == 0:
raise ValueError(
"No files found in %s for month %d. Please ensure that \
filenames end in the month number (e.g., precip_1.tif)."
% (in_dir, month_index))
if len(file_list) > 1:
raise ValueError(
"Ambiguous set of files found for month %d: %s" %
(month_index, file_list))
out_path_list.append(file_list[0])
return out_path_list
@validation.invest_validator
def validate(args, limit_to=None):
"""Validate args to ensure they conform to `execute`'s contract.

View File

@ -2093,11 +2093,10 @@ def _write_supply_demand_vector(source_aoi_vector_path, feature_attrs,
Returns:
``None``
"""
source_vector = ogr.Open(source_aoi_vector_path)
driver = ogr.GetDriverByName('GPKG')
driver.CopyDataSource(source_vector, target_aoi_vector_path)
source_vector = None
driver = None
gdal.VectorTranslate(
target_aoi_vector_path, source_aoi_vector_path,
format='GPKG',
preserveFID=True)
target_vector = gdal.OpenEx(target_aoi_vector_path, gdal.GA_Update)
target_layer = target_vector.GetLayer()

View File

@ -50,7 +50,9 @@ def _log_gdal_errors(*args, **kwargs):
"""Log error messages to osgeo.
All error messages are logged with reasonable ``logging`` levels based
on the GDAL error level.
on the GDAL error level. While we are now using ``gdal.UseExceptions()``,
we still need this to handle GDAL logging that does not get raised as
an exception.
Note:
This function is designed to accept any number of positional and

View File

@ -304,19 +304,16 @@ def check_raster(filepath, projected=False, projection_units=None, **kwargs):
if file_warning:
return file_warning
gdal.PushErrorHandler('CPLQuietErrorHandler')
gdal_dataset = gdal.OpenEx(filepath, gdal.OF_RASTER)
gdal.PopErrorHandler()
if gdal_dataset is None:
try:
gdal_dataset = gdal.OpenEx(filepath, gdal.OF_RASTER)
except RuntimeError:
return MESSAGES['NOT_GDAL_RASTER']
# Check that an overview .ovr file wasn't opened.
if os.path.splitext(filepath)[1] == '.ovr':
return MESSAGES['OVR_FILE']
srs = osr.SpatialReference()
srs.ImportFromWkt(gdal_dataset.GetProjection())
srs = gdal_dataset.GetSpatialRef()
projection_warning = _check_projection(srs, projected, projection_units)
if projection_warning:
gdal_dataset = None
@ -378,9 +375,10 @@ def check_vector(filepath, geometries, fields=None, projected=False,
if file_warning:
return file_warning
gdal.PushErrorHandler('CPLQuietErrorHandler')
gdal_dataset = gdal.OpenEx(filepath, gdal.OF_VECTOR)
gdal.PopErrorHandler()
try:
gdal_dataset = gdal.OpenEx(filepath, gdal.OF_VECTOR)
except RuntimeError:
return MESSAGES['NOT_GDAL_VECTOR']
geom_map = {
'POINT': [ogr.wkbPoint, ogr.wkbPointM, ogr.wkbPointZM,
@ -402,9 +400,6 @@ def check_vector(filepath, geometries, fields=None, projected=False,
for geom in geometries:
allowed_geom_types += geom_map[geom]
if gdal_dataset is None:
return MESSAGES['NOT_GDAL_VECTOR']
# NOTE: this only checks the layer geometry type, not the types of the
# actual geometries (layer.GetGeometryTypes()). This is probably equivalent
# in most cases, and it's more efficient than checking every geometry, but

View File

@ -1148,23 +1148,18 @@ def _copy_vector_or_raster(base_file_path, target_file_path):
ValueError if the base file can't be opened by GDAL.
"""
# Open the file as raster first
source_dataset = gdal.OpenEx(base_file_path, gdal.OF_RASTER)
target_driver_name = _RASTER_DRIVER_NAME
if source_dataset is None:
# File didn't open as a raster; assume it's a vector
gis_type = pygeoprocessing.get_gis_type(base_file_path)
if gis_type == pygeoprocessing.RASTER_TYPE:
source_dataset = gdal.OpenEx(base_file_path, gdal.OF_RASTER)
target_driver_name = _RASTER_DRIVER_NAME
elif gis_type == pygeoprocessing.VECTOR_TYPE:
source_dataset = gdal.OpenEx(base_file_path, gdal.OF_VECTOR)
target_driver_name = _VECTOR_DRIVER_NAME
# Raise an exception if the file can't be opened by GDAL
if source_dataset is None:
raise ValueError(
'File %s is neither a GDAL-compatible raster nor vector.'
% base_file_path)
else:
raise ValueError(f'File {base_file_path} is neither a GDAL-compatible '
'raster nor vector.')
driver = gdal.GetDriverByName(target_driver_name)
driver.CreateCopy(target_file_path, source_dataset)
source_dataset = None
def _interpolate_vector_field_onto_raster(

View File

@ -1758,10 +1758,9 @@ def _calculate_land_to_grid_distance(
# Copy the point vector
_, driver_name = _get_file_ext_and_driver_name(
target_land_vector_path)
base_land_vector = ogr.Open(base_land_vector_path, gdal.OF_VECTOR)
driver = ogr.GetDriverByName(driver_name)
driver.CopyDataSource(base_land_vector, target_land_vector_path)
base_land_vector = None
gdal.VectorTranslate(
target_land_vector_path, base_land_vector_path,
format=driver_name)
target_land_vector = gdal.OpenEx(
target_land_vector_path, gdal.OF_VECTOR | gdal.GA_Update)
@ -1846,7 +1845,7 @@ def _mask_by_distance(base_raster_path, min_dist, max_dist, out_nodata,
def _create_distance_raster(base_raster_path, base_vector_path,
target_dist_raster_path, work_dir):
target_dist_raster_path, work_dir, where_clause=None):
"""Create and rasterize vector onto a raster, and calculate dist transform.
Create a raster where the pixel values represent the euclidean distance to
@ -1858,6 +1857,9 @@ def _create_distance_raster(base_raster_path, base_vector_path,
base_vector_path (str): path to vector to be rasterized.
target_dist_raster_path (str): path to raster with distance transform.
work_dir (str): path to create a temp folder for saving files.
where_clause (str): If not None, is an SQL query-like string to filter
which features are rasterized. This kwarg is passed to
``pygeoprocessing.rasterize``.
Returns:
None
@ -1885,7 +1887,8 @@ def _create_distance_raster(base_raster_path, base_vector_path,
base_vector_path,
rasterized_raster_path,
burn_values=[1],
option_list=["ALL_TOUCHED=TRUE"])
option_list=["ALL_TOUCHED=TRUE"],
where_clause=where_clause)
# Calculate euclidean distance transform
pygeoprocessing.distance_transform_edt(
@ -2590,67 +2593,25 @@ def _calculate_distances_land_grid(base_point_vector_path, base_raster_path,
# A list to hold the land to grid distances in order for each point
# features 'L2G' field
l2g_dist = []
# A list to hold the individual distance transform path's in order
# A list to hold the individual distance transform paths in order
land_point_dist_raster_path_list = []
# Get the original layer definition which holds needed attribute values
base_layer_defn = base_point_layer.GetLayerDefn()
file_ext, driver_name = _get_file_ext_and_driver_name(
base_point_vector_path)
output_driver = ogr.GetDriverByName(driver_name)
single_feature_vector_path = os.path.join(
temp_dir, 'single_feature' + file_ext)
target_vector = output_driver.CreateDataSource(single_feature_vector_path)
# Create the new layer for target_vector using same name and
# geometry type from base_vector as well as spatial reference
target_layer = target_vector.CreateLayer(base_layer_defn.GetName(),
base_point_layer.GetSpatialRef(),
base_layer_defn.GetGeomType())
# Get the number of fields in original_layer
base_field_count = base_layer_defn.GetFieldCount()
# For every field, create a duplicate field and add it to the new
# shapefiles layer
for fld_index in range(base_field_count):
base_field = base_layer_defn.GetFieldDefn(fld_index)
target_field = ogr.FieldDefn(base_field.GetName(),
base_field.GetType())
# NOT setting the WIDTH or PRECISION because that seems to be
# unneeded and causes interesting OGR conflicts
target_layer.CreateField(target_field)
fid_field = base_point_layer.GetFIDColumn()
if not fid_field:
fid_field = 'FID'
# Create a new shapefile with only one feature to burn onto a raster
# in order to get the distance transform based on that one feature
for feature_index, point_feature in enumerate(base_point_layer):
# Get the point features land to grid value and add it to the list
field_index = point_feature.GetFieldIndex('L2G')
l2g_dist.append(float(point_feature.GetField(field_index)))
l2g_dist.append(float(point_feature.GetField('L2G')))
# Copy original_datasource's feature and set as new shapes feature
output_feature = ogr.Feature(feature_def=target_layer.GetLayerDefn())
# Since the original feature is of interest add its fields and
# Values to the new feature from the intersecting geometries
# The False in SetFrom() signifies that the fields must match
# exactly
output_feature.SetFrom(point_feature, False)
target_layer.CreateFeature(output_feature)
target_vector.SyncToDisk()
target_layer.DeleteFeature(point_feature.GetFID())
dist_raster_path = os.path.join(temp_dir,
'dist_%s.tif' % feature_index)
_create_distance_raster(base_raster_path, single_feature_vector_path,
dist_raster_path, work_dir)
dist_raster_path = os.path.join(temp_dir, f'dist_{feature_index}.tif')
_create_distance_raster(
base_raster_path, base_point_vector_path, dist_raster_path,
work_dir, where_clause=f'{fid_field}={point_feature.GetFID()}')
# Add each features distance transform result to list
land_point_dist_raster_path_list.append(dist_raster_path)
target_layer = None
target_vector = None
base_point_layer = None
base_point_vector = None
l2g_dist_array = numpy.array(l2g_dist)
def _min_land_ocean_dist(*grid_distances):

View File

@ -6,13 +6,14 @@ import os
import pandas
import numpy
from osgeo import gdal
import pygeoprocessing
REGRESSION_DATA = os.path.join(
os.path.dirname(__file__), '..', 'data', 'invest-test-data', 'annual_water_yield')
SAMPLE_DATA = os.path.join(REGRESSION_DATA, 'input')
gdal.UseExceptions()
class AnnualWaterYieldTests(unittest.TestCase):
"""Regression Tests for Annual Water Yield Model."""

View File

@ -12,6 +12,7 @@ import numpy.random
import numpy.testing
import pygeoprocessing
gdal.UseExceptions()
def make_simple_raster(base_raster_path, fill_val, nodata_val):
"""Create a 10x10 raster on designated path with fill value.

View File

@ -10,12 +10,13 @@ import json
import importlib
import uuid
try:
from StringIO import StringIO
except ImportError:
from io import StringIO
from osgeo import gdal
gdal.UseExceptions()
@contextlib.contextmanager
def redirect_stdout():

View File

@ -17,6 +17,7 @@ from natcap.invest import validation
from osgeo import gdal
from osgeo import osr
gdal.UseExceptions()
REGRESSION_DATA = os.path.join(
os.path.dirname(__file__), '..', 'data', 'invest-test-data',
'coastal_blue_carbon')

View File

@ -20,6 +20,7 @@ from shapely.geometry import MultiPolygon
from shapely.geometry import Point
from shapely.geometry import Polygon
gdal.UseExceptions()
REGRESSION_DATA = os.path.join(
os.path.dirname(__file__), '..', 'data', 'invest-test-data',
'coastal_vulnerability')
@ -931,14 +932,8 @@ class CoastalVulnerabilityTests(unittest.TestCase):
REGRESSION_DATA, 'coastal_exposure.gpkg')
# This input gets modified in place, so first copy to working dir
# I'm using GPKG driver to copy because that driver may have problems
# updating a file created by a different GPKG driver version, and the
# version used is dependent on GDAL version.
# https://gdal.org/drivers/vector/gpkg.html
base_shore_point_vector = ogr.Open(base_vector_path)
gpkg_driver = ogr.GetDriverByName('GPKG')
gpkg_driver.CopyDataSource(
base_shore_point_vector, target_point_vector_path)
base_shore_point_vector = gdal.OpenEx(base_vector_path, gdal.OF_VECTOR)
gdal.VectorTranslate(target_point_vector_path, base_shore_point_vector)
coastal_vulnerability.calculate_final_risk(
target_point_vector_path, target_point_csv_path)
@ -968,17 +963,9 @@ class CoastalVulnerabilityTests(unittest.TestCase):
# This gpkg has a feature with an empty field value for 'R_slr'
# The function modifies the file in place, so copy to test workspace
# first.
# I'm using GPKG driver to copy because that driver may have problems
# updating a file created by a different GPKG driver version, and the
# version used is dependent on GDAL version.
# https://gdal.org/drivers/vector/gpkg.html
base_vector_path = os.path.join(
REGRESSION_DATA, 'test_missing_values.gpkg')
base_shore_point_vector = ogr.Open(base_vector_path)
gpkg_driver = ogr.GetDriverByName('GPKG')
gpkg_driver.CopyDataSource(
base_shore_point_vector, target_vector_path)
gdal.VectorTranslate(target_vector_path, base_vector_path)
coastal_vulnerability.calculate_final_risk(
target_vector_path, target_csv_path)

View File

@ -9,6 +9,7 @@ from osgeo import gdal
import pandas
import pygeoprocessing
gdal.UseExceptions()
MODEL_DATA_PATH = os.path.join(
os.path.dirname(__file__), '..', 'data', 'invest-test-data',
'crop_production_model', 'model_data')

View File

@ -18,6 +18,7 @@ import shapely.geometry
from osgeo import gdal
from osgeo import ogr
gdal.UseExceptions()
_TEST_FILE_CWD = os.path.dirname(os.path.abspath(__file__))
DATA_DIR = os.path.join(_TEST_FILE_CWD,
'..', 'data', 'invest-test-data', 'data_stack')

View File

@ -19,6 +19,7 @@ from shapely.geometry import box
from shapely.geometry import MultiPoint
from shapely.geometry import Point
gdal.UseExceptions()
REGRESSION_DATA = os.path.join(
os.path.dirname(__file__), '..', 'data', 'invest-test-data',
'delineateit')

View File

@ -7,7 +7,7 @@ import os
from osgeo import gdal
import numpy
gdal.UseExceptions()
REGRESSION_DATA = os.path.join(
os.path.dirname(__file__), '..', 'data', 'invest-test-data',
'forest_carbon_edge_effect')

View File

@ -12,6 +12,7 @@ from osgeo import ogr
from osgeo import osr
from shapely.geometry import Polygon
gdal.UseExceptions()
def make_raster_from_array(
base_array, base_raster_path, nodata_val=-1, gdal_type=gdal.GDT_Int32):

View File

@ -18,6 +18,7 @@ from osgeo import gdal
from osgeo import ogr
from osgeo import osr
gdal.UseExceptions()
ORIGIN = (1180000.0, 690000.0)
_SRS = osr.SpatialReference()
_SRS.ImportFromEPSG(26910) # UTM zone 10N

View File

@ -3,6 +3,8 @@
import unittest
import os
from osgeo import gdal
gdal.UseExceptions()
class FileRegistryTests(unittest.TestCase):
"""Tests for the InVEST file registry builder."""

View File

@ -4,7 +4,9 @@ import unittest
import pint
from natcap.invest.model_metadata import MODEL_METADATA
from osgeo import gdal
gdal.UseExceptions()
valid_nested_types = {
None: { # if no parent type (arg is top-level), then all types are valid
'boolean',

View File

@ -12,6 +12,7 @@ from osgeo import gdal
from osgeo import ogr
from osgeo import osr
gdal.UseExceptions()
REGRESSION_DATA = os.path.join(
os.path.dirname(__file__), '..', 'data', 'invest-test-data', 'ndr')

View File

@ -7,9 +7,11 @@ import unittest
import numpy
import pygeoprocessing
import shapely.geometry
from osgeo import gdal
from osgeo import ogr
from osgeo import osr
gdal.UseExceptions()
REGRESSION_DATA = os.path.join(
os.path.dirname(__file__), '..', 'data', 'invest-test-data', 'pollination')

View File

@ -28,6 +28,7 @@ import warnings
from natcap.invest import utils
gdal.UseExceptions()
Pyro4.config.SERIALIZER = 'marshal' # allow null bytes in strings
REGRESSION_DATA = os.path.join(

View File

@ -9,6 +9,7 @@ import numpy
from osgeo import gdal
from osgeo import osr
gdal.UseExceptions()
class RouteDEMTests(unittest.TestCase):
"""Tests for RouteDEM with Pygeoprocessing 1.x routing API."""

View File

@ -5,7 +5,9 @@ import shutil
import os
import pandas
from osgeo import gdal
gdal.UseExceptions()
TEST_DATA_DIR = os.path.join(
os.path.dirname(__file__), '..', 'data', 'invest-test-data',
'scenario_gen_proximity')

View File

@ -14,6 +14,7 @@ from shapely.geometry import LineString
from shapely.geometry import Point
from shapely.geometry import Polygon
gdal.UseExceptions()
_SRS = osr.SpatialReference()
_SRS.ImportFromEPSG(32731) # WGS84 / UTM zone 31s
WKT = _SRS.ExportToWkt()

View File

@ -9,6 +9,7 @@ import pygeoprocessing
from osgeo import gdal
from osgeo import osr
gdal.UseExceptions()
REGRESSION_DATA = os.path.join(
os.path.dirname(__file__), '..', 'data', 'invest-test-data', 'sdr')
SAMPLE_DATA = os.path.join(REGRESSION_DATA, 'input')

View File

@ -10,6 +10,7 @@ from osgeo import gdal
from osgeo import ogr
from osgeo import osr
gdal.UseExceptions()
REGRESSION_DATA = os.path.join(
os.path.dirname(__file__), '..', 'data', 'invest-test-data',
'seasonal_water_yield')
@ -165,6 +166,30 @@ def make_precip_rasters(precip_dir_path):
make_raster_from_array(precip_array, precip_raster_path)
def make_zeropadded_rasters(dir_path, prefix):
"""Make twelve 1x1 raster files with filenames ending in zero-padded
month number.
Args:
dir_path (str): path to the directory for saving the rasters.
file_prefix (str): prefix of new files to create.
Returns:
list: monthly raster filenames
"""
size = 1
monthly_raster_list = []
for month in range(1, 13):
raster_path = os.path.join(
dir_path, prefix + str(month).zfill(2) + '.tif')
temp_array = numpy.full((size, size), 1, dtype=numpy.int8)
make_raster_from_array(temp_array, raster_path)
monthly_raster_list.append(raster_path)
return monthly_raster_list
def make_recharge_raster(recharge_ras_path):
"""Make a 100x100 raster of user defined recharge.
@ -317,6 +342,61 @@ class SeasonalWaterYieldUnusualDataTests(unittest.TestCase):
"""Delete workspace after test is done."""
shutil.rmtree(self.workspace_dir, ignore_errors=True)
def test_zeropadded_monthly_filenames(self):
"""test filenames with zero-padded months in
_get_monthly_file_lists function
"""
from natcap.invest.seasonal_water_yield.seasonal_water_yield import _get_monthly_file_lists
n_months = 12
# Make directory and file names with zero-padded months
test_precip_dir_path = os.path.join(self.workspace_dir,
'test_0pad_precip_dir')
os.makedirs(test_precip_dir_path)
precip_file_list = make_zeropadded_rasters(test_precip_dir_path, 'Prcp')
test_eto_dir_path = os.path.join(self.workspace_dir,
'test_0pad_eto_dir')
os.makedirs(test_eto_dir_path)
eto_file_list = make_zeropadded_rasters(test_eto_dir_path, 'et0_')
# Create list of monthly files for data_type
eto_path_list = _get_monthly_file_lists(
n_months, test_eto_dir_path)
precip_path_list = _get_monthly_file_lists(
n_months, test_precip_dir_path)
# Verify that the returned lists match the input
self.assertEqual(precip_path_list, precip_file_list)
self.assertEqual(eto_path_list, eto_file_list)
def test_nonpadded_monthly_filenames(self):
"""test filenames without zero-padded months in
_get_monthly_file_lists function
"""
from natcap.invest.seasonal_water_yield.seasonal_water_yield import _get_monthly_file_lists
n_months = 12
# Make directory and file names with (non-zero-padded) months
precip_dir_path = os.path.join(self.workspace_dir, 'precip_dir')
os.makedirs(precip_dir_path)
make_precip_rasters(precip_dir_path)
precip_path_list = _get_monthly_file_lists(
n_months, precip_dir_path)
# Create lists of monthly filenames to which to compare function output
# Note this is hardcoded to match the filenames created in make_precip_rasters
match_precip = [os.path.join(precip_dir_path,
"precip_mm_" + str(m) + ".tif")
for m in range(1, n_months + 1)]
# Verify that the returned lists match the input
self.assertEqual(precip_path_list, match_precip)
def test_ambiguous_precip_data(self):
"""SWY test case where there are more than 12 precipitation files."""
from natcap.invest.seasonal_water_yield import seasonal_water_yield

View File

@ -2,7 +2,9 @@ import unittest
from natcap.invest import spec_utils
from natcap.invest.unit_registry import u
from osgeo import gdal
gdal.UseExceptions()
class TestSpecUtils(unittest.TestCase):

View File

@ -13,7 +13,7 @@ import pygeoprocessing
from pygeoprocessing.geoprocessing_core import (
DEFAULT_GTIFF_CREATION_TUPLE_OPTIONS as opts_tuple)
gdal.UseExceptions()
TEST_DATA = os.path.join(os.path.dirname(
__file__), '..', 'data', 'invest-test-data', 'stormwater')

View File

@ -10,7 +10,9 @@ from unittest.mock import patch
from babel.messages import Catalog, mofile
import natcap.invest
from natcap.invest import validation
from osgeo import gdal
gdal.UseExceptions()
TEST_LANG = 'll'
# assign to local variable so that it won't be changed by translation

View File

@ -8,6 +8,7 @@ import numpy
import pandas
from osgeo import gdal
gdal.UseExceptions()
REGRESSION_DATA = os.path.join(
os.path.dirname(__file__), '..', 'data', 'invest-test-data', 'ucm')

View File

@ -13,6 +13,7 @@ from osgeo import gdal
from osgeo import ogr
from osgeo import osr
gdal.UseExceptions()
class UFRMTests(unittest.TestCase):
"""Tests for the Urban Flood Risk Mitigation Model."""

View File

@ -6,7 +6,9 @@ import unittest
from unittest.mock import Mock, patch
from natcap.invest import ui_server
from osgeo import gdal
gdal.UseExceptions()
TEST_DATA_PATH = os.path.join(
os.path.dirname(__file__), '..', 'data', 'invest-test-data')

View File

@ -18,6 +18,7 @@ from osgeo import gdal
from osgeo import ogr
from osgeo import osr
gdal.UseExceptions()
_DEFAULT_ORIGIN = (444720, 3751320)
_DEFAULT_PIXEL_SIZE = (30, -30)
_DEFAULT_EPSG = 3116
@ -904,8 +905,14 @@ class UNATests(unittest.TestCase):
from natcap.invest import urban_nature_access
args = _build_model_args(self.workspace_dir)
admin_vector = gdal.OpenEx(args['admin_boundaries_vector_path'])
admin_layer = admin_vector.GetLayer()
fid = admin_layer.GetNextFeature().GetFID()
admin_layer = None
admin_vector = None
feature_attrs = {
0: {
fid: {
'my-field-1': float(1.2345),
'my-field-2': numpy.float32(2.34567),
'my-field-3': numpy.float64(3.45678),
@ -924,10 +931,10 @@ class UNATests(unittest.TestCase):
vector = gdal.OpenEx(target_vector_path)
self.assertEqual(vector.GetLayerCount(), 1)
layer = vector.GetLayer()
self.assertEqual(len(layer.schema), len(feature_attrs[0]))
self.assertEqual(len(layer.schema), len(feature_attrs[fid]))
self.assertEqual(layer.GetFeatureCount(), 1)
feature = layer.GetFeature(0)
for field_name, expected_field_value in feature_attrs[0].items():
feature = layer.GetFeature(fid)
for field_name, expected_field_value in feature_attrs[fid].items():
self.assertEqual(
feature.GetField(field_name), expected_field_value)
finally:

View File

@ -13,6 +13,7 @@ import shapely.geometry
import numpy
import numpy.testing
gdal.UseExceptions()
class UsageLoggingTests(unittest.TestCase):
"""Tests for the InVEST usage logging framework."""

View File

@ -25,6 +25,7 @@ from osgeo import osr
from shapely.geometry import Point
from shapely.geometry import Polygon
gdal.UseExceptions()
class SuffixUtilsTests(unittest.TestCase):
"""Tests for natcap.invest.utils.make_suffix_string."""
@ -412,17 +413,22 @@ class GDALWarningsLoggingTests(unittest.TestCase):
logfile = os.path.join(self.workspace, 'logfile.txt')
# this warning should go to stdout.
gdal.Open('this_file_should_not_exist.tif')
invalid_polygon = ogr.CreateGeometryFromWkt(
'POLYGON ((-20 -20, -16 -20, -20 -16, -16 -16, -20 -20))')
# This produces a GDAL warning that does not raise an
# exception with UseExceptions(). Without capture_gdal_logging,
# it will be printed directly to stderr
invalid_polygon.IsValid()
with utils.log_to_file(logfile) as handler:
with utils.capture_gdal_logging():
# warning should be captured.
gdal.Open('file_file_should_also_not_exist.tif')
invalid_polygon.IsValid()
handler.flush()
# warning should go to stdout
gdal.Open('this_file_should_not_exist.tif')
# warning should go to stderr
invalid_polygon.IsValid()
with open(logfile) as opened_logfile:
messages = [msg for msg in opened_logfile.read().split('\n')
@ -499,7 +505,11 @@ class PrepareWorkspaceTests(unittest.TestCase):
with utils.prepare_workspace(workspace,
'some_model'):
warnings.warn('deprecated', UserWarning)
gdal.Open('file should not exist')
invalid_polygon = ogr.CreateGeometryFromWkt(
'POLYGON ((-20 -20, -16 -20, -20 -16, -16 -16, -20 -20))')
# This produces a GDAL warning that does not raise an
# exception with UseExceptions()
invalid_polygon.IsValid()
self.assertTrue(os.path.exists(workspace))
logfile_glob = glob.glob(os.path.join(workspace, '*.txt'))
@ -509,11 +519,9 @@ class PrepareWorkspaceTests(unittest.TestCase):
with open(logfile_glob[0]) as logfile:
logfile_text = logfile.read()
# all the following strings should be in the logfile.
expected_string = (
'file should not exist: No such file or directory')
self.assertTrue(
expected_string in logfile_text) # gdal error captured
self.assertEqual(len(re.findall('WARNING', logfile_text)), 1)
self.assertTrue( # gdal logging captured
'Self-intersection at or near point -18 -18' in logfile_text)
self.assertEqual(len(re.findall('WARNING', logfile_text)), 2)
self.assertTrue('Elapsed time:' in logfile_text)

View File

@ -18,6 +18,7 @@ from osgeo import gdal
from osgeo import ogr
from osgeo import osr
gdal.UseExceptions()
class SpatialOverlapTest(unittest.TestCase):
"""Test Spatial Overlap."""

View File

@ -18,6 +18,7 @@ from shapely.geometry import Point
from natcap.invest import utils
import pygeoprocessing
gdal.UseExceptions()
REGRESSION_DATA = os.path.join(
os.path.dirname(__file__), '..', 'data', 'invest-test-data', 'wave_energy')
SAMPLE_DATA = os.path.join(REGRESSION_DATA, 'input')

View File

@ -17,6 +17,7 @@ from osgeo import osr
import pygeoprocessing
gdal.UseExceptions()
SAMPLE_DATA = os.path.join(
os.path.dirname(__file__), '..', 'data', 'invest-test-data', 'wind_energy',
'input')

3233
workbench/changelog.html Normal file

File diff suppressed because it is too large Load Diff

View File

@ -1,6 +1,6 @@
{
"name": "invest-workbench",
"version": "0.1.0",
"version": "3.14.2",
"description": "Models that map and value the goods and services from nature that sustain and fulfill human life",
"main": "build/main/main.js",
"homepage": "./",

View File

@ -121,18 +121,24 @@ These instructions assume you have defined the two-letter locale code in an envi
git add src/main/i18n/$LL.json src/renderer/i18n/$LL.json
git commit -m "add new messages into $LL translation files"
```
3. (if the translator uses PO format) Convert JSON to PO
3. Convert JSON to PO using [i18next-gettext-converter](https://github.com/i18next/i18next-gettext-converter):
```
i18next-conv -l $LL -s src/main/i18n/$LL.json -t src/main/i18n/$LL.po
i18next-conv -l $LL -s src/renderer/i18n/$LL.json -t src/renderer/i18n/$LL.po
4. Send `src/main/i18n/$LL.[json,po]` and `src/renderer/i18n/$LL.[json,po]` to the translator and wait to receive a copy with translations added.
```
5. (if the translator uses PO format) Convert PO to JSON
If the translator works with PO files, we can convert them to JSON using this tool: https://github.com/i18next/i18next-gettext-converter
4. Send `src/main/i18n/$LL.po` and `src/renderer/i18n/$LL.po` to the translator and wait to receive a copy with translations added.
6. Replace `src/main/i18n/$LL.[json,po]` and `src/renderer/i18n/$LL.json` with the updated versions received from the translator
5. Receive the updated PO files from the translator, then convert PO to JSON using [i18next-gettext-converter](https://github.com/i18next/i18next-gettext-converter). Replace `src/main/i18n/$LL.json` and `src/renderer/i18n/$LL.json` with the updated versions:
```
i18next-conv -l $LL -s new_main_translations.po -t src/main/i18n/$LL.json
i18next-conv -l $LL -s new_renderer_translations.po -t src/renderer/i18n/$LL.json
7. Commit the changes:
```
6. Commit the changes:
```
git add src/main/i18n/$LL.json src/renderer/i18n/$LL.json
git commit -m "add new translations for $LL"
```

View File

@ -1,10 +1,10 @@
{
"File": "",
"Edit": "",
"Speech": "",
"View": "",
"Window": "",
"About": "",
"About InVEST": "",
"Report a problem": ""
}
"File": "Archivo",
"Edit": "Edición",
"Speech": "Dicción",
"View": "Vista",
"Window": "Ventana",
"About": "Acerca de",
"About InVEST": "Acerca de InVEST",
"Report a problem": "Informe de un problema"
}

View File

@ -1,10 +1,10 @@
{
"File": "文件",
"Edit": "编辑",
"Speech": "语音输入",
"View": "视图",
"Window": "界面",
"About": "关于",
"About InVEST": "关于 InVEST",
"Report a problem": "报告一个问题"
}
"File": "文件",
"Edit": "编辑",
"Speech": "语音输入",
"View": "视图",
"Window": "界面",
"About": "关于",
"About InVEST": "关于 InVEST",
"Report a problem": "报告一个问题"
}

View File

@ -1,4 +1,5 @@
export const ipcMainChannels = {
BASE_URL: 'base-url',
CHANGE_LANGUAGE: 'change-language',
CHECK_FILE_PERMISSIONS: 'check-file-permissions',
CHECK_STORAGE_TOKEN: 'check-storage-token',
@ -12,6 +13,7 @@ export const ipcMainChannels = {
INVEST_RUN: 'invest-run',
INVEST_VERSION: 'invest-version',
IS_FIRST_RUN: 'is-first-run',
IS_NEW_VERSION: 'is-new-version',
LOGGER: 'logger',
OPEN_EXTERNAL_URL: 'open-external-url',
OPEN_PATH: 'open-path',

View File

@ -1,5 +1,5 @@
import path from 'path';
import i18n from './i18n/i18n';
// eslint-disable-next-line import/no-extraneous-dependencies
import {
app,
@ -9,35 +9,37 @@ import {
ipcMain
} from 'electron';
import BASE_URL from './baseUrl';
import {
createPythonFlaskProcess,
getFlaskIsReady,
shutdownPythonProcess
shutdownPythonProcess,
} from './createPythonFlaskProcess';
import findInvestBinaries from './findInvestBinaries';
import setupDownloadHandlers from './setupDownloadHandlers';
import setupDialogs from './setupDialogs';
import setupContextMenu from './setupContextMenu';
import { ipcMainChannels } from './ipcMainChannels';
import ELECTRON_DEV_MODE from './isDevMode';
import { getLogger } from './logger';
import menuTemplate from './menubar';
import pkg from '../../package.json';
import { settingsStore, setupSettingsHandlers } from './settingsStore';
import { setupBaseUrl } from './setupBaseUrl';
import setupCheckFilePermissions from './setupCheckFilePermissions';
import { setupCheckFirstRun } from './setupCheckFirstRun';
import { setupCheckStorageToken } from './setupCheckStorageToken';
import {
setupInvestRunHandlers,
setupInvestLogReaderHandler
} from './setupInvestHandlers';
import setupContextMenu from './setupContextMenu';
import setupDialogs from './setupDialogs';
import setupDownloadHandlers from './setupDownloadHandlers';
import setupGetElectronPaths from './setupGetElectronPaths';
import setupGetNCPUs from './setupGetNCPUs';
import {
setupInvestLogReaderHandler,
setupInvestRunHandlers,
} from './setupInvestHandlers';
import { setupIsNewVersion } from './setupIsNewVersion';
import setupOpenExternalUrl from './setupOpenExternalUrl';
import setupOpenLocalHtml from './setupOpenLocalHtml';
import { settingsStore, setupSettingsHandlers } from './settingsStore';
import setupGetElectronPaths from './setupGetElectronPaths';
import setupRendererLogger from './setupRendererLogger';
import { ipcMainChannels } from './ipcMainChannels';
import menuTemplate from './menubar';
import ELECTRON_DEV_MODE from './isDevMode';
import BASE_URL from './baseUrl';
import { getLogger } from './logger';
import i18n from './i18n/i18n';
import pkg from '../../package.json';
const logger = getLogger(__filename.split('/').slice(-1)[0]);
@ -87,6 +89,7 @@ export const createWindow = async () => {
setupDialogs();
setupCheckFilePermissions();
setupCheckFirstRun();
setupIsNewVersion();
setupCheckStorageToken();
setupSettingsHandlers();
setupGetElectronPaths();
@ -94,6 +97,7 @@ export const createWindow = async () => {
setupInvestLogReaderHandler();
setupOpenExternalUrl();
setupRendererLogger();
setupBaseUrl();
await getFlaskIsReady();
const devModeArg = ELECTRON_DEV_MODE ? '--devmode' : '';

View File

@ -0,0 +1,13 @@
import {
ipcMain,
} from 'electron';
import { ipcMainChannels } from './ipcMainChannels';
import baseUrl from './baseUrl';
export function setupBaseUrl() {
ipcMain.handle(
ipcMainChannels.BASE_URL, () => baseUrl
);
}

View File

@ -0,0 +1,52 @@
import fs from 'fs';
import path from 'path';
import {
app,
ipcMain,
} from 'electron';
import { ipcMainChannels } from './ipcMainChannels';
import { getLogger } from './logger';
import pkg from '../../package.json';
const logger = getLogger(__filename.split('/').slice(-1)[0]);
export const APP_VERSION_TOKEN = 'app-version-token.txt';
/** Determine whether this is the first run of the current running version.
*
* @returns {boolean} true if this version has not run before, otherwise false
*/
export async function isNewVersion() {
// Getting version from package.json is simplest because there is no need to
// spawn an invest process simply to get the version of the installed binary.
const currentVersion = pkg.version;
const userDataPath = app.getPath('userData');
const tokenPath = path.join(userDataPath, APP_VERSION_TOKEN);
try {
if (fs.existsSync(tokenPath)) {
const tokenString = fs.readFileSync(tokenPath, {encoding: 'utf8'});
if (tokenString) {
const installedVersionList = tokenString.split(',');
if (installedVersionList.includes(currentVersion)) {
return false;
}
// If current version not found, add it
fs.writeFileSync(tokenPath, `${tokenString},${currentVersion}`);
return true;
}
}
// If file does not exist, create it
fs.writeFileSync(tokenPath, currentVersion);
} catch (error) {
logger.warn(`Unable to write app-version token: ${error}`);
}
return true;
}
export function setupIsNewVersion() {
ipcMain.handle(
ipcMainChannels.IS_NEW_VERSION, () => isNewVersion()
);
}

View File

@ -24,6 +24,7 @@ import DownloadProgressBar from './components/DownloadProgressBar';
import { getInvestModelNames } from './server_requests';
import InvestJob from './InvestJob';
import { dragOverHandlerNone } from './utils';
import Changelog from './components/Changelog';
const { ipcRenderer } = window.Workbench.electron;
@ -42,6 +43,8 @@ export default class App extends React.Component {
recentJobs: [],
showDownloadModal: false,
downloadedNofN: null,
showChangelog: false,
changelogDismissed: false,
};
this.switchTabs = this.switchTabs.bind(this);
this.openInvestModel = this.openInvestModel.bind(this);
@ -65,6 +68,9 @@ export default class App extends React.Component {
.includes(job.modelRunName)
)),
showDownloadModal: this.props.isFirstRun,
// Show changelog if this is a new version,
// but if it's the first run ever, wait until after download modal closes.
showChangelog: this.props.isNewVersion && !this.props.isFirstRun,
});
await i18n.changeLanguage(window.Workbench.LANGUAGE);
ipcRenderer.on('download-status', (downloadedNofN) => {
@ -92,6 +98,20 @@ export default class App extends React.Component {
this.setState({
showDownloadModal: shouldShow,
});
// After close, show changelog if new version and app has just launched
// (i.e., show changelog only once, after the first time the download modal closes).
if (!shouldShow && this.props.isNewVersion && !this.state.changelogDismissed) {
this.setState({
showChangelog: true,
});
}
}
closeChangelogModal() {
this.setState({
showChangelog: false,
changelogDismissed: true,
});
}
/** Push data for a new InvestTab component to an array.
@ -183,6 +203,7 @@ export default class App extends React.Component {
openTabIDs,
activeTab,
showDownloadModal,
showChangelog,
downloadedNofN,
} = this.state;
@ -277,6 +298,13 @@ export default class App extends React.Component {
show={showDownloadModal}
closeModal={() => this.showDownloadModal(false)}
/>
{
showChangelog &&
<Changelog
show={showChangelog}
close={() => this.closeChangelogModal()}
/>
}
<TabContainer activeKey={activeTab}>
<Navbar
onDragOver={dragOverHandlerNone}
@ -357,6 +385,7 @@ export default class App extends React.Component {
App.propTypes = {
isFirstRun: PropTypes.bool,
isNewVersion: PropTypes.bool,
nCPU: PropTypes.number,
};
@ -364,5 +393,6 @@ App.propTypes = {
// can be undefined for unrelated tests.
App.defaultProps = {
isFirstRun: false,
isNewVersion: false,
nCPU: 1,
};

View File

@ -0,0 +1,103 @@
import React, { useEffect, useState } from 'react';
import PropTypes from 'prop-types';
import Button from 'react-bootstrap/Button';
import Modal from 'react-bootstrap/Modal';
import { MdClose } from 'react-icons/md';
import { useTranslation } from 'react-i18next';
import pkg from '../../../../package.json';
import { ipcMainChannels } from '../../../main/ipcMainChannels';
const { ipcRenderer } = window.Workbench.electron;
const { logger } = window.Workbench;
export default function Changelog(props) {
const { t } = useTranslation();
const [htmlContent, setHtmlContent] = useState('');
// Load HTML from external file (which is generated by Python build process).
useEffect(() => {
async function loadHtml() {
const baseUrl = await ipcRenderer.invoke(ipcMainChannels.BASE_URL);
const response = await fetch(`${baseUrl}/changelog.html`);
if (!response.ok) {
logger.debug(`Error fetching changelog HTML: ${response.status} ${response.statusText}`);
return;
}
try {
const htmlString = await response.text();
// Find the section whose heading explicitly matches the current version.
const versionStr = pkg.version;
const escapedVersionStr = versionStr.split('.').join('\\.');
const sectionRegex = new RegExp(
`<section.*?>[\\s]*?<h1>${escapedVersionStr}\\b[\\s\\S]*?</h1>[\\s\\S]*?</section>`
);
const sectionMatches = htmlString.match(sectionRegex);
if (sectionMatches && sectionMatches.length) {
let latestVersionSection = sectionMatches[0];
const linkRegex = /<a\shref/g;
// Ensure all links open in a new window and are styled with a relevant icon.
latestVersionSection = latestVersionSection.replaceAll(
linkRegex,
'<a target="_blank" class="link-external" href'
);
setHtmlContent({
__html: latestVersionSection
});
}
} catch(error) {
logger.debug(error);
}
}
loadHtml();
}, []);
// Once HTML content has loaded, set up links to open in browser
// (instead of in an Electron window).
useEffect(() => {
const openLinkInBrowser = (event) => {
event.preventDefault();
ipcRenderer.send(
ipcMainChannels.OPEN_EXTERNAL_URL, event.currentTarget.href
);
};
document.querySelectorAll('.link-external').forEach(link => {
link.addEventListener('click', openLinkInBrowser);
});
}, [htmlContent]);
return (
<Modal
show={props.show && htmlContent !== ''}
onHide={props.close}
size="lg"
aria-labelledby="changelog-modal-title"
>
<Modal.Header>
<Modal.Title id="changelog-modal-title">
{t('New in this version')}
</Modal.Title>
<Button
variant="secondary-outline"
onClick={props.close}
className="float-right"
aria-label="Close modal"
>
<MdClose />
</Button>
</Modal.Header>
{/* Setting inner HTML in this way is OK because
the HTML content is controlled by our build process
and not, for example, sourced from user input. */}
<Modal.Body
dangerouslySetInnerHTML={htmlContent}
>
</Modal.Body>
</Modal>
);
}
Changelog.propTypes = {
show: PropTypes.bool.isRequired,
close: PropTypes.func.isRequired,
};

View File

@ -174,6 +174,38 @@ class DataDownloadModal extends React.Component {
// Don't render until registry is loaded, since it loads async
if (!dataRegistry) { return <div />; }
const displayNames = {
'Annual Water Yield': t('Annual Water Yield'),
'Carbon Storage and Sequestration': t('Carbon Storage and Sequestration'),
'Coastal Blue Carbon': t('Coastal Blue Carbon'),
'Coastal Vulnerability': t('Coastal Vulnerability'),
'Crop Pollination': t('Crop Pollination'),
'Crop Production': t('Crop Production'),
'DelineateIt': t('DelineateIt'),
'Forest Carbon Edge Effect': t('Forest Carbon Edge Effect'),
'Habitat Quality': t('Habitat Quality'),
'Habitat Risk Assessment': t('Habitat Risk Assessment'),
'Nutrient Delivery Ratio': t('Nutrient Delivery Ratio'),
'RouteDEM': t('RouteDEM'),
'Scenario Generator: Proximity Based': t('Scenario Generator: Proximity Based'),
'Scenic Quality': t('Scenic Quality'),
'Seasonal Water Yield': t('Seasonal Water Yield'),
'Sediment Delivery Ratio': t('Sediment Delivery Ratio'),
'Urban Stormwater Retention': t('Urban Stormwater Retention'),
'Urban Cooling': t('Urban Cooling'),
'Urban Flood Risk Mitigation': t('Urban Flood Risk Mitigation'),
'Urban Nature Access': t('Urban Nature Access'),
'Visitation: Recreation and Tourism': t('Visitation: Recreation and Tourism'),
'Wave Energy Production': t('Wave Energy Production'),
'Wind Energy Production': t('Wind Energy Production'),
'Global DEM & Landmass Polygon': t('Global DEM & Landmass Polygon'),
};
const displayNotes = {
'(recommended to run model)': t('(recommended to run model)'),
'(required to run model)': t('(required to run model)'),
'(required for Wind & Wave Energy)': t('(required for Wind & Wave Energy)'),
};
const downloadEnabled = Boolean(selectedLinksArray.length);
const DatasetCheckboxRows = [];
Object.keys(modelCheckBoxState)
@ -196,11 +228,11 @@ class DataDownloadModal extends React.Component {
)}
/>
<Form.Check.Label>
{modelName}
{displayNames[modelName]}
</Form.Check.Label>
</Form.Check>
</td>
<td><em>{note}</em></td>
<td><em>{displayNotes[note]}</em></td>
<td>{filesizeStr}</td>
</tr>
);
@ -211,6 +243,7 @@ class DataDownloadModal extends React.Component {
show={this.props.show}
onHide={this.closeDialog}
size="lg"
aria-labelledby="download-modal-title"
>
<Form>
<Modal.Header>
@ -230,7 +263,9 @@ class DataDownloadModal extends React.Component {
<p className="mb-0"><em>{this.state.alertPath}</em></p>
</Alert>
)
: <Modal.Title>{t("Download InVEST sample data")}</Modal.Title>
: <Modal.Title id="download-modal-title">
{t("Download InVEST sample data")}
</Modal.Title>
}
</Modal.Header>
<Modal.Body>

View File

@ -32,11 +32,8 @@ class OpenButton extends React.Component {
datastack = await fetchDatastackFromFile({ filepath: data.filePaths[0] });
} catch (error) {
logger.error(error);
alert(
t(
'No InVEST model data can be parsed from the file:\n {{filepath}}',
{ filepath: data.filePaths[0] }
)
alert( // eslint-disable-line no-alert
`${t('No InVEST model data can be parsed from the file:')}\n${data.filePaths[0]}`
);
return;
}

View File

@ -52,7 +52,7 @@ function FormLabel(props) {
<Form.Label column sm="3" htmlFor={argkey}>
<span className="argname">{argname} </span>
{
(userFriendlyArgType || optional) &&
(userFriendlyArgType || optional) &&
<span>
(
{userFriendlyArgType}

View File

@ -312,15 +312,12 @@ class SetupTab extends React.Component {
return;
}
} else {
datastack = await fetchDatastackFromFile({ filepath: filepath });
datastack = await fetchDatastackFromFile({ filepath: filepath });
}
} catch (error) {
logger.error(error);
alert( // eslint-disable-line no-alert
t(
'No InVEST model data can be parsed from the file:\n {{filepath}}',
{ filepath: filepath }
)
`${t('No InVEST model data can be parsed from the file:')}\n${filepath}`
);
return;
}

View File

@ -1,82 +1,136 @@
{
"Download InVEST sample data": "Descargar datos de muestra de InVEST",
"Cancel": "Cancelar",
"Download": "Descargar",
"Download Failed": "Falló la descarga",
"Download Complete": "Descarga completa",
"Downloading {{number}} of {{nTotal}}": "",
"Something went wrong": "Algo salió mal",
"Please help us fix this by reporting the problem.You may follow these steps:": "",
"Find the Workbench log files using the button below.": "",
"There may be multiple files with a \".log\" extension.": "",
"Find My Logs": "Encontrar mis registros",
"Create a post on our forum ": "Crear un mensaje en nuestro foro",
"and upload all the log files, along with a brief description of what happened before you saw this message.": "y suba todos los archivos de registro, junto con una breve descripción de lo que ocurrió antes de ver este mensaje.",
"Model Complete": "Modelo completo",
"Recent runs:": "Corridas recientes:",
"Set up a model from a sample datastack file (.json) or from an InVEST model's logfile (.txt): ": "Configure un modelo a partir de un archivo Datastack de ejemplo (.json) o del archivo de registro de un modelo InVEST (.txt)",
"Setup": "Configuración",
"Log": "Registro",
"Open Workspace": "Abrir el espacio de trabajo",
"Cancel Run": "Cancelar la ejecución",
"Error: see log for details": "Error: ver el registro para más detalles",
"Run Canceled": "Ejecución cancelada",
"Browse to a datastack (.json) or InVEST logfile (.txt)": "Buscar una pila de datos (.json) o un archivo de registro InVEST (.txt)",
"Open": "Abrir",
"User's Guide": "Guía de uso",
"Frequently Asked Questions": "Preguntas frecuentes",
"Save as...": "Guardar como...",
"Datastack options": "Opciones de Datastack",
"Save your parameters in a JSON file. This includes thepaths to your input data, but not the data itself. Open this file in InVEST to restore your parameters.": "",
"Save your parameters and input data in a compressed archive. This archive contains the same JSON file produced by the \"Parameters only\" option, plus the data. You can open this file in InVEST to restore your parameters. This option is useful to copy all the necessary data to a different location.": "Guarde sus parámetros y datos de entrada en un archivo comprimido. Este archivo contiene el mismo archivo JSON producido por la opción \"Sólo parámetros\", además de los datos. Puede abrir este archivo en InVEST para restaurar sus parámetros. Esta opción es útil para copiar todos los datos necesarios en una ubicación diferente.",
"Save your parameters in a python script. This includes the paths to your input data, but not the data itself. Running the python script will programmatically run the model with your parameters. Use this as a starting point for batch scripts.": "Guarde sus parámetros en un script de Python. Esto incluye las rutas a los datos de entrada, pero no los datos en sí. Al ejecutar el script de Python, el modelo se ejecutará mediante programación con sus parámetros. Utilícelo como punto de partida para scripts por lotes.",
"Save": "",
"InVEST Settings": "Configuración de InVEST",
"Language": "Idioma",
"Changing this setting will refresh the app and close all tabs": "",
"Logging threshold": "Umbral de registro",
"Taskgraph logging threshold": "Umbral de registro del gráfico de tareas",
"Taskgraph n_workers parameter": "Parámetro n_workers del gráfico de tareas",
"more info": "",
"synchronous task execution is most reliable": "la ejecución de tareas sincrónicas es la más fiable",
"threaded task management: tasks execute only in the main process, using multiple threads.": "gestión de tareas por hilos: las tareas se ejecutan solo en el proceso principal, utilizando varios hilos.",
"n CPUs: depending on the InVEST model, tasks may execute in parallel using up to this many processes.": "n CPUs: dependiendo del modelo de InVEST, las tareas pueden ejecutarse en paralelo utilizando hasta este número de procesos.",
"Reset to Defaults": "Valores predeterminados",
"Download Sample Data": "Descargar datos de muestra",
"Clear Recent Jobs": "Borrar trabajos recientes",
"no invest workspaces will be deleted": "no se eliminará ningún espacio de trabajo de InVEST",
"Bounding box does not intersect at least one other:": "La caja delimitadora no se interseca al menos con otra:",
"optional": "",
"text": "texto",
"percent: a number from 0 - 100": "porcentaje: un número de 0 a 100",
"ratio: a decimal from 0 - 1": "tasa: un decimal de 0 - 1",
"User's guide entry": "Entrada de la guía del usuario",
"Only drop one file at a time.": "Solo se puede soltar un archivo a la vez.",
"Running": "En curso",
"Run": "Ejecutar",
"Browse to a datastack (.json, .tgz) or InVEST logfile (.txt)": "Buscar una pila de datos (.json, .tgz) o un archivo de registro InVEST (.txt)",
"Load parameters from file": "Cargar los parámetros desde un archivo",
"No args to see here": "No hay argumentos que ver aquí",
"version:": "",
"Copyright 2022, The Natural Capital Project": "",
"Documentation: ": "",
"Homepage: ": "",
"Project page: ": "",
"License: ": "",
"Open-Source Licenses:": "",
"MIT and others": "",
"Please help us by reporting problems.": "",
"If the problem is related to a specific InVEST model, ": "",
"please see the guidelines here for reporting problems: ": "",
"Guidelines for posting software support questions": "",
"If the problem is related to this User Interface, ": "",
"rather than with a specific InVEST model,": "",
"Consider taking a screenshot of the problem.": "",
"Find the log files using the button below. There may be multiple files with a \".log\" extension; please include them all.": "",
"Create a post on our forum and upload these items, along with a brief description of the problem.": "",
"InVEST": "InVEST",
"Find the Workbench log files ": "Buscar los archivos de registro de Workbench",
"Please help us fix this by reporting the problem. You may follow these steps:": "Por favor, ayúdenos a solucionar esto informando del problema. Puede seguir estos pasos:",
"using the button below. There may be multiple files with a \".log\" extension.": "con el botón de abajo. Puede haber varios archivos con extensión \".log\".",
"Save your parameters in a JSON file. This includes the paths to your input data, but not the data itself. Open this file in InVEST to restore your parameters.": "Guarde sus parámetros en un archivo JSON. Esto incluye las rutas a los datos de entrada, pero no los datos en sí. Abra este archivo en InVEST para restaurar sus parámetros."
}
"Annual Water Yield": "Producción anual de agua",
"Carbon Storage and Sequestration": "Almacenamiento y secuestración de carbono",
"Coastal Blue Carbon": "Carbono azul costero",
"Coastal Vulnerability": "Vulnerabilidad de las costas",
"Crop Pollination": "Polinización de cultivos",
"Crop Production": "Producción de cultivos",
"DelineateIt": "DelineatIt",
"Forest Carbon Edge Effect": "Efecto de borde del carbono forestal",
"Habitat Quality": "Calidad del hábitat",
"Habitat Risk Assessment": "Evaluación de riesgo de hábitats",
"Nutrient Delivery Ratio": "Tasa de entrega de nutrientes",
"RouteDEM": "RouteDEM",
"Scenario Generator: Proximity Based": "Generador de Escenarios: Basado en Proximidad",
"Scenic Quality": "Calidad escénica",
"Seasonal Water Yield": "Producción de agua estacional",
"Sediment Delivery Ratio": "Tasa de entrega de sedimentos",
"Urban Stormwater Retention": "Retención urbana de agua de tormenta",
"Urban Cooling": "Enfriamiento urbano",
"Urban Flood Risk Mitigation": "Mitigación de riesgos de inundaciones urbanas",
"Urban Nature Access": "Acceso urbano a la naturaleza",
"Visitation: Recreation and Tourism": "Visitación: recreación y turismo",
"Wave Energy Production": "Producción de energía de olas",
"Wind Energy Production": "Producción de energía eólica",
"Global DEM & Landmass Polygon": "MED Global y Polígono de Masa Terrestre",
"(recommended to run model)": "(se recomienda para que corra el modelo)",
"(required to run model)": "(se requiere para que corra el modelo)",
"(required for Wind & Wave Energy)": "(se requiere para Energía Eólica y de Olas)",
"Please choose a different folder. This application does not have permission to write to folder:": "Por favor, seleccione una carpeta diferente. Esta aplicación no tiene permiso para escribir en la carpeta:",
"Download InVEST sample data": "Descargar datos de muestra de InVEST",
"Cancel": "Cancelar",
"Download": "Descargar",
"Download Failed": "Falló la descarga",
"Download Complete": "Descarga completa",
"Downloading {{number}} of {{nTotal}}": "Descargando {{number}} of {{nTotal}}",
"Something went wrong": "Algo salió mal",
"Please help us fix this by reporting the problem.You may follow these steps:": "Por favor, ayúdenos a reparar esto informando sobre el problema. Puede seguir estos pasos:",
"Find the Workbench log files using the button below.": "Halle los archivos de registro Workbench usando el botón de abajo.",
"There may be multiple files with a \".log\" extension.": "Puede haber varios archivos con una extensión \".log\".",
"Find My Logs": "Encontrar mis registros",
"Create a post on our forum ": "Genere un mensaje en nuestro foro ",
"and upload all the log files, along with a brief description of what happened before you saw this message.": "y suba todos los archivos de registro, junto con una breve descripción de lo que ocurrió antes de ver este mensaje.",
"Model Complete": "Modelo completo",
"Recent runs:": "Corridas recientes:",
"Set up a model from a sample datastack file (.json) or from an InVEST model's logfile (.txt): ": "Configure un modelo a partir de un archivo Datastack de ejemplo (.json) o del archivo de registro de un modelo InVEST (.txt) ",
"Setup": "Configuración",
"Log": "Registro",
"Open Workspace": "Abrir el espacio de trabajo",
"Cancel Run": "Cancelar la ejecución",
"Error: see log for details": "Error: ver el registro para más detalles",
"Run Canceled": "Ejecución cancelada",
"No InVEST model data can be parsed from the file:": "No hay datos de modelos InVEST que puedan ser analizados desde el archivo:",
"Browse to a datastack (.json) or InVEST logfile (.txt)": "Buscar una pila de datos (.json) o un archivo de registro InVEST (.txt)",
"Open": "Abrir",
"User's Guide": "Guía de uso",
"Frequently Asked Questions": "Preguntas frecuentes",
"Save as...": "Guardar como...",
"Datastack options": "Opciones de Datastack",
"Save your parameters in a JSON file. This includes the paths to your input data, but not the data itself. Open this file in InVEST to restore your parameters.": "Guarde sus parámetros en un archivo JSON. Esto incluye las rutas a los datos de entrada, pero no los datos en sí. Abra este archivo en InVEST para restaurar sus parámetros.",
"Save your parameters and input data in a compressed archive. This archive contains the same JSON file produced by the \"Parameters only\" option, plus the data. You can open this file in InVEST to restore your parameters. This option is useful to copy all the necessary data to a different location.": "Guarde sus parámetros y datos de entrada en un archivo comprimido. Este archivo contiene el mismo archivo JSON producido por la opción \"Sólo parámetros\", además de los datos. Puede abrir este archivo en InVEST para restaurar sus parámetros. Esta opción es útil para copiar todos los datos necesarios en una ubicación diferente.",
"Save your parameters in a python script. This includes the paths to your input data, but not the data itself. Running the python script will programmatically run the model with your parameters. Use this as a starting point for batch scripts.": "Guarde sus parámetros en un script de Python. Esto incluye las rutas a los datos de entrada, pero no los datos en sí. Al ejecutar el script de Python, el modelo se ejecutará mediante programación con sus parámetros. Utilícelo como punto de partida para scripts por lotes.",
"Save": "Guardar",
"Synchronous": "Sincrónico",
"Threaded task management": "Manejo encadenado de tareas",
"CPUs": "CPUs",
"DEBUG": "DEPURAR",
"INFO": "INFORMACIÓN",
"WARNING": "ADVERTENCIA",
"ERROR": "ERROR",
"InVEST Settings": "Configuración de InVEST",
"Language": "Idioma",
"Logging threshold": "Umbral de registro",
"Taskgraph logging threshold": "Umbral de registro del gráfico de tareas",
"more info": "más información",
"synchronous task execution is most reliable": "la ejecución sincrónica de tareas es la más fiable",
"threaded task management: tasks execute only in the main process, using multiple threads.": "gestión de tareas por hilos: las tareas se ejecutan solo en el proceso principal, utilizando varios hilos.",
"n CPUs: depending on the InVEST model, tasks may execute in parallel using up to this many processes.": "n CPUs: dependiendo del modelo de InVEST, las tareas pueden ejecutarse en paralelo utilizando hasta este número de procesos.",
"Download Sample Data": "Descargar datos de muestra",
"Clear Recent Jobs": "Borrar trabajos recientes",
"no invest workspaces will be deleted": "no se eliminará ningún espacio de trabajo de InVEST",
"Warning": "Advertencia",
"Changing this setting will close your tabs and relaunch the app.": "Cambiar esta opciín cerrará las pestañas y relanzará la aplicación.",
"Change to ": "Cambiar a ",
"Not all of the spatial layers overlap each other. Bounding box:": "No todas las capas espaciales se traslapan entre ellas. Caja delmitadora:",
"optional": "opcional",
"boolean": "booleano",
"integer": "entero",
"csv": "csv",
"directory": "directorio",
"file": "archivo",
"number": "número",
"percent": "porcentaje",
"raster": "ráster",
"ratio": "tasa",
"vector": "vector",
"text": "texto",
"percent: a number from 0 - 100": "porcentaje: un número de 0 a 100",
"ratio: a decimal from 0 - 1": "tasa: un decimal de 0 - 1",
"User's guide entry": "Entrada de la guía del usuario",
"Only drop one file at a time.": "Solo se puede soltar un archivo a la vez.",
"Choose location to extract archive": "Seleccione la ubicación donde extraer el archivo",
"Datastack/Logfile for {{modelName}} does not match this model.": "Datastack/Logfile para {{modelName}} no calza con este modelo.",
"Running": "En curso",
"Run": "Ejecutar",
"Browse to a datastack (.json, .tgz) or InVEST logfile (.txt)": "Buscar una pila de datos (.json, .tgz) o un archivo de registro InVEST (.txt)",
"Load parameters from file": "Cargar los parámetros desde un archivo",
"No args to see here": "No hay argumentos que ver aquí",
"version:": "versión:",
"Copyright 2023, The Natural Capital Project": "Copyright 2023, The Natural Capital Project",
"Documentation": "Documentación",
"Homepage": "Página web",
"Project page": "Página del proyecto",
"License": "Licencia",
"InVEST Trademark and Logo Use Policy": "Política de uso de la marca y el logotipo de InVEST",
"Open-Source Licenses:": "Licencias de código abierto:",
"MIT and others": "MIT y otros",
"Please help us by reporting problems.": "Por favor, ayúdenos informando sobre problemas.",
"If the problem is related to a specific InVEST model, ": "Si el problema se relaciona con un modelo InVEST específico, ",
"please see the guidelines here for reporting problems: ": "por favor, refiérase a la guía para informar sobre problemas aquí: ",
"Guidelines for posting software support questions": "Guía para publicar preguntas de apoyo sobre software",
"If the problem is related to this User Interface, ": "Si el problema se relaciona con esta interfaz de uso, ",
"rather than with a specific InVEST model,": "más que con un modelo InVEST específico,",
"Consider taking a screenshot of the problem.": "Considere hacer una captura de pantalla del problema.",
"Find the log files using the button below. There may be multiple files with a \".log\" extension; please include them all.": "Halle los archivos de registro usando el botón más abajo. Podría haber varios archivos con una extensión \".log\"; por favor, incluya todos ellos.",
"Create a post on our forum and upload these items, along with a brief description of the problem.": "Cree un posteo en nuestro foro y cargue estos ítemes junto a una breve descripción del problema.",
"Save your parameters in a JSON file. This includes thepaths to your input data, but not the data itself. Open this file in InVEST to restore your parameters.": "Guarde sus parámetros en un archivo JSON. Esto incluye las rutas a sus datos de entrada, pero no los datos en sí. Abra este archivo en InVEST para reestablecer sus parámetros.",
"Reset to Defaults": "Valores predeterminados",
"Bounding box does not intersect at least one other:": "La caja delimitadora no se interseca al menos con otra:",
"InVEST": "InVEST",
"Find the Workbench log files ": "Buscar los archivos de registro de Workbench ",
"Please help us fix this by reporting the problem. You may follow these steps:": "Por favor, ayúdenos a solucionar esto informando del problema. Puede seguir estos pasos:",
"using the button below. There may be multiple files with a \".log\" extension.": "con el botón de abajo. Puede haber varios archivos con extensión \".log\".",
"Taskgraph n_workers parameter": "Parámetro n_workers del gráfico de tareas",
"freestyle_string": "freestyle",
"option_string": "option"
}

View File

@ -1,103 +1,147 @@
{
"Download InVEST sample data": "下载InVEST样例数据",
"Cancel": "取消",
"Download": "下载",
"Download Failed": "下载失败",
"Download Complete": "下载完整版",
"Downloading {{number}} of {{nTotal}}": "下载{{nTotal}}个文件中的第{{number}}个",
"Something went wrong": "出了些问题",
"Please help us fix this by reporting the problem.You may follow these steps:": "请通过报告这个问题来帮助我们解决这个问题。你可以按照以下步骤进行:",
"Find the Workbench log files using the button below.": "请使用下面的按钮来查看工作台的日志文件。",
"There may be multiple files with a \".log\" extension.": "可能有多个以\".log \"为扩展名的文件。",
"Find My Logs": "寻找我的日志文件",
"Create a post on our forum ": "在我们的论坛上创建一个帖子",
"and upload all the log files, along with a brief description of what happened before you saw this message.": "并上传所有的日志文件。请同时简要描述在你看到这条信息之前发生的状况。",
"Model Complete": "模型运行完成",
"Recent runs:": "最近的运行:",
"Set up a model from a sample datastack file (.json) or from an InVEST model's logfile (.txt): ": "从示例数据堆栈文件 (.json) 或 InVEST 模型的日志文件 (.txt) 设置模型:",
"Setup": "设置",
"Log": "日志",
"Open Workspace": "打开工作空间",
"Cancel Run": "取消运行",
"Error: see log for details": "错误:详见日志",
"Run Canceled": "取消运行",
"Browse to a datastack (.json) or InVEST logfile (.txt)": "浏览到一个数据包(.json或InVEST日志文件.txt。",
"Open": "打开",
"User's Guide": "用户指南",
"Frequently Asked Questions": "常见问题",
"Save as...": "另存为…",
"Datastack options": "数据堆栈选项",
"Save your parameters in a JSON file. This includes the paths to your input data, but not the data itself. Open this file in InVEST to restore your parameters.": "将参数保存在 JSON 文件中。 这包括输入数据的路径,但不包括数据本身。 在 InVEST 中打开此文件以恢复您的参数。",
"Save your parameters and input data in a compressed archive. This archive contains the same JSON file produced by the \"Parameters only\" option, plus the data. You can open this file in InVEST to restore your parameters. This option is useful to copy all the necessary data to a different location.": "将您的参数和输入数据保存在压缩存档中。 此压缩存档包含由“仅参数”选项生成的相同 JSON 文件以及数据。 您可以在 InVEST 模型中打开此文件以恢复您的参数。 此选项有助于将所有必要数据复制到不同位置。",
"Save your parameters in a python script. This includes the paths to your input data, but not the data itself. Running the python script will programmatically run the model with your parameters. Use this as a starting point for batch scripts.": "将参数保存在 python 脚本中。 这包括输入数据的路径,但不包括数据本身。 运行 python 脚本将以编程方式使用您的参数运行模型。 您可以基于此用脚本进行批处理。",
"Save": "保存",
"Synchronous": "同步",
"Threaded task management": "线程任务管理",
"CPUs": "处理器",
"DEBUG": "调试",
"INFO": "信息",
"WARNING": "警告",
"ERROR": "错误",
"InVEST Settings": "InVEST设置",
"Language": "语言",
"Changing this setting will refresh the app and close all tabs": "更改此设置将刷新应用程序并关闭所有选项卡",
"Logging threshold": "日志阈值",
"Taskgraph logging threshold": "任务图记录阈值",
"more info": "更多信息",
"synchronous task execution is most reliable": "同步任务的执行是最可靠的",
"threaded task management: tasks execute only in the main process, using multiple threads.": "线程任务管理:任务只在主进程中使用多线程执行。",
"n CPUs: depending on the InVEST model, tasks may execute in parallel using up to this many processes.": "n CPU根据 InVEST 模型,任务最多可以在这么多个进程下执行任务。",
"Reset to Defaults": "重置为默认值",
"Download Sample Data": "下载样例数据",
"Clear Recent Jobs": "清除最近的工作",
"no invest workspaces will be deleted": "没有invest的工作空间将被删除",
"Bounding box does not intersect at least one other:": "边界框至少不与另一个相交:",
"optional": "可选项",
"text": "文本",
"percent: a number from 0 - 100": "百分比一个从0-100的数字",
"ratio: a decimal from 0 - 1": "比率一个从0-1的小数",
"User's guide entry": "用户指南条目",
"Only drop one file at a time.": "一次只能丢一个文件。",
"Datastack/Logfile for {{modelName}} does not match this model.": "{{modelName}} 个数据堆栈/日志文件与此模型不匹配。",
"Running": "运行中",
"Run": "运行",
"Browse to a datastack (.json, .tgz) or InVEST logfile (.txt)": "浏览到数据包(.json, .tgz或InVEST日志文件.txt。",
"Load parameters from file": "从文件中加载参数",
"No args to see here": "在args dict中缺少关键信息",
"version:": "版本:",
"Copyright 2022, The Natural Capital Project": "版权所有 2022, The Natural Capital Project",
"Documentation: ": "文档:",
"Homepage: ": "主页:",
"Project page: ": "项目页面:",
"License: ": "许可证:",
"Open-Source Licenses:": "开源许可证:",
"MIT and others": "MIT许可证及其他许可证",
"Please help us by reporting problems.": "请通过报告问题来帮助我们。",
"If the problem is related to a specific InVEST model, ": "如果这个问题与特定的 InVEST 模型有关,",
"please see the guidelines here for reporting problems: ": "请查看此指南,然后上报问题:",
"Guidelines for posting software support questions": "发布软件支持问题的指南",
"If the problem is related to this User Interface, ": "如果问题与此用户界面有关,",
"rather than with a specific InVEST model,": "而不是与使用某个特定的 InVEST 模型有关,",
"Consider taking a screenshot of the problem.": "请截屏保存以便随后发布帖子寻求帮助。",
"Find the log files using the button below. There may be multiple files with a \".log\" extension; please include them all.": "使用下面的按钮查找日志文件。 可能有多个扩展名为“.log”的文件 请把它们全部包括在内。",
"Create a post on our forum and upload these items, along with a brief description of the problem.": "在我们的论坛上创建一个帖子并上传这些项目以及问题的简要说明。",
"Export all input data to a compressed archive": "将所有输入数据导出到压缩档案中",
"InVEST": "InVEST",
"Save datastack": "保存数据包",
"Save model setup to a JSON file": "将模型设置保存到一个JSON文件中",
"Save model setup to a Python script": "将模型设置保存到Python脚本中",
"Save to JSON": "保存到JSON",
"Save to Python script": "保存到Python脚本",
"true/false": "真/假",
"CSV": "CSV",
"directory": "模型数据目录",
"file": "文件后缀",
"integer": "整数",
"number": "数量",
"option": "选项",
"percent": "百分比",
"raster": "栅格",
"ratio": "比例",
"vector": "向量",
"Taskgraph n_workers parameter": "任务图n_workers参数"
"Annual Water Yield": "年出水量",
"Carbon Storage and Sequestration": "碳储存和碳封存",
"Coastal Blue Carbon": "海岸蓝碳",
"Coastal Vulnerability": "沿海地区的脆弱性",
"Crop Pollination": "作物授粉",
"Crop Production": "农作物生产",
"DelineateIt": "划线",
"Forest Carbon Edge Effect": "森林碳边效应",
"Habitat Quality": "生境质量",
"Habitat Risk Assessment": "生境风险评估",
"Nutrient Delivery Ratio": "营养输送比",
"RouteDEM": "路线高程",
"Scenario Generator: Proximity Based": "情景生成器:基于邻近性",
"Scenic Quality": "风景质量",
"Seasonal Water Yield": "季节产水量",
"Sediment Delivery Ratio": "沉积物输送比",
"Urban Stormwater Retention": "城市雨水滞留",
"Urban Cooling": "城市降温",
"Urban Flood Risk Mitigation": "城市洪水风险缓解",
"Urban Nature Access": "城市自然通道",
"Visitation: Recreation and Tourism": "参观:娱乐和旅游",
"Wave Energy Production": "波浪能生产",
"Wind Energy Production": "风能生产",
"Global DEM & Landmass Polygon": "全球 高程 和地块多边形",
"(recommended to run model)": "(建议运行模型)",
"(required to run model)": "(运行模型所需)",
"(required for Wind & Wave Energy)": "(风能和波浪能所需)",
"Please choose a different folder. This application does not have permission to write to folder:": "请选择其他文件夹。此应用程序没有写入文件夹的权限:",
"Download InVEST sample data": "下载InVEST样例数据",
"Cancel": "取消",
"Download": "下载",
"Download Failed": "下载失败",
"Download Complete": "下载完整版",
"Downloading {{number}} of {{nTotal}}": "下载{{nTotal}}个文件中的第{{number}}个",
"Something went wrong": "出了些问题",
"Please help us fix this by reporting the problem.You may follow these steps:": "请通过报告这个问题来帮助我们解决这个问题。你可以按照以下步骤进行:",
"Find the Workbench log files using the button below.": "请使用下面的按钮来查看工作台的日志文件。",
"There may be multiple files with a \".log\" extension.": "可能有多个以\".log \"为扩展名的文件。",
"Find My Logs": "寻找我的日志文件",
"Create a post on our forum ": "在我们的论坛上创建一个帖子",
"and upload all the log files, along with a brief description of what happened before you saw this message.": "并上传所有的日志文件。请同时简要描述在你看到这条信息之前发生的状况。",
"Model Complete": "模型运行完成",
"Recent runs:": "最近的运行:",
"Set up a model from a sample datastack file (.json) or from an InVEST model's logfile (.txt): ": "从示例数据堆栈文件 (.json) 或 InVEST 模型的日志文件 (.txt) 设置模型:",
"Setup": "设置",
"Log": "日志",
"Open Workspace": "打开工作空间",
"Cancel Run": "取消运行",
"Error: see log for details": "错误:详见日志",
"Run Canceled": "取消运行",
"No InVEST model data can be parsed from the file:": "无法从文件中解析 InVEST 模型数据:",
"Browse to a datastack (.json) or InVEST logfile (.txt)": "浏览到一个数据包(.json或InVEST日志文件.txt。",
"Open": "打开",
"User's Guide": "用户指南",
"Frequently Asked Questions": "常见问题",
"Save as...": "另存为…",
"Datastack options": "数据堆栈选项",
"Save your parameters in a JSON file. This includes the paths to your input data, but not the data itself. Open this file in InVEST to restore your parameters.": "将参数保存在 JSON 文件中。 这包括输入数据的路径,但不包括数据本身。 在 InVEST 中打开此文件以恢复您的参数。",
"Save your parameters and input data in a compressed archive. This archive contains the same JSON file produced by the \"Parameters only\" option, plus the data. You can open this file in InVEST to restore your parameters. This option is useful to copy all the necessary data to a different location.": "将您的参数和输入数据保存在压缩存档中。 此压缩存档包含由“仅参数”选项生成的相同 JSON 文件以及数据。 您可以在 InVEST 模型中打开此文件以恢复您的参数。 此选项有助于将所有必要数据复制到不同位置。",
"Save your parameters in a python script. This includes the paths to your input data, but not the data itself. Running the python script will programmatically run the model with your parameters. Use this as a starting point for batch scripts.": "将参数保存在 python 脚本中。 这包括输入数据的路径,但不包括数据本身。 运行 python 脚本将以编程方式使用您的参数运行模型。 您可以基于此用脚本进行批处理。",
"Save": "保存",
"Synchronous": "同步",
"Threaded task management": "线程任务管理",
"CPUs": "处理器",
"DEBUG": "调试",
"INFO": "信息",
"WARNING": "警告",
"ERROR": "错误",
"InVEST Settings": "InVEST设置",
"Language": "语言",
"Logging threshold": "日志阈值",
"Taskgraph logging threshold": "任务图记录阈值",
"more info": "更多信息",
"synchronous task execution is most reliable": "同步任务的执行是最可靠的",
"threaded task management: tasks execute only in the main process, using multiple threads.": "线程任务管理:任务只在主进程中使用多线程执行。",
"n CPUs: depending on the InVEST model, tasks may execute in parallel using up to this many processes.": "n CPU根据 InVEST 模型,任务最多可以在这么多个进程下执行任务。",
"Download Sample Data": "下载样例数据",
"Clear Recent Jobs": "清除最近的工作",
"no invest workspaces will be deleted": "没有invest的工作空间将被删除",
"Warning": "警告",
"Changing this setting will close your tabs and relaunch the app.": "更改此设置将关闭标签页并重新启动应用程序。",
"Change to ": "更改到",
"Not all of the spatial layers overlap each other. Bounding box:": "并非所有空间层都相互重叠。边界框:",
"optional": "可选项",
"boolean": "布尔值",
"integer": "整数",
"csv": "csv",
"directory": "模型数据目录",
"file": "文件后缀",
"number": "数量",
"percent": "百分比",
"raster": "栅格",
"ratio": "比例",
"vector": "向量",
"text": "文本",
"percent: a number from 0 - 100": "百分比一个从0-100的数字",
"ratio: a decimal from 0 - 1": "比率一个从0-1的小数",
"User's guide entry": "用户指南条目",
"Only drop one file at a time.": "一次只能丢一个文件。",
"Choose location to extract archive": "选择提取存档的位置",
"Datastack/Logfile for {{modelName}} does not match this model.": "{{modelName}} 个数据堆栈/日志文件与此模型不匹配。",
"Running": "运行中",
"Run": "运行",
"Browse to a datastack (.json, .tgz) or InVEST logfile (.txt)": "浏览到数据包(.json, .tgz或InVEST日志文件.txt。",
"Load parameters from file": "从文件中加载参数",
"No args to see here": "在args dict中缺少关键信息",
"version:": "版本:",
"Copyright 2023, The Natural Capital Project": "版权所有 2023 年,自然资本项目",
"Documentation": "文档",
"Homepage": "首页",
"Project page": "项目页面",
"License": "许可证",
"InVEST Trademark and Logo Use Policy": "InVEST 商标和徽标使用政策",
"Open-Source Licenses:": "开源许可证:",
"MIT and others": "MIT许可证及其他许可证",
"Please help us by reporting problems.": "请通过报告问题来帮助我们。",
"If the problem is related to a specific InVEST model, ": "如果这个问题与特定的 InVEST 模型有关,",
"please see the guidelines here for reporting problems: ": "请查看此指南,然后上报问题:",
"Guidelines for posting software support questions": "发布软件支持问题的指南",
"If the problem is related to this User Interface, ": "如果问题与此用户界面有关,",
"rather than with a specific InVEST model,": "而不是与使用某个特定的 InVEST 模型有关,",
"Consider taking a screenshot of the problem.": "请截屏保存以便随后发布帖子寻求帮助。",
"Find the log files using the button below. There may be multiple files with a \".log\" extension; please include them all.": "使用下面的按钮查找日志文件。 可能有多个扩展名为“.log”的文件 请把它们全部包括在内。",
"Create a post on our forum and upload these items, along with a brief description of the problem.": "在我们的论坛上创建一个帖子并上传这些项目以及问题的简要说明。",
"Changing this setting will refresh the app and close all tabs": "更改此设置将刷新应用程序并关闭所有选项卡",
"Reset to Defaults": "重置为默认值",
"Bounding box does not intersect at least one other:": "边界框至少不与另一个相交:",
"Copyright 2022, The Natural Capital Project": "版权所有 2022, The Natural Capital Project",
"Documentation: ": "文档:",
"Homepage: ": "主页:",
"Project page: ": "项目页面:",
"License: ": "许可证:",
"Export all input data to a compressed archive": "将所有输入数据导出到压缩档案中",
"InVEST": "InVEST",
"Save datastack": "保存数据包",
"Save model setup to a JSON file": "将模型设置保存到一个JSON文件中",
"Save model setup to a Python script": "将模型设置保存到Python脚本中",
"Save to JSON": "保存到JSON",
"Save to Python script": "保存到Python脚本",
"true/false": "真/假",
"CSV": "CSV",
"option": "选项",
"Taskgraph n_workers parameter": "任务图n_workers参数",
"freestyle_string": "自由式",
"option_string": "选项"
}

View File

@ -9,6 +9,7 @@ import { ipcMainChannels } from '../main/ipcMainChannels';
const { ipcRenderer } = window.Workbench.electron;
const isFirstRun = await ipcRenderer.invoke(ipcMainChannels.IS_FIRST_RUN);
const isNewVersion = await ipcRenderer.invoke(ipcMainChannels.IS_NEW_VERSION);
const nCPU = await ipcRenderer.invoke(ipcMainChannels.GET_N_CPUS);
const root = createRoot(document.getElementById('App'));
@ -16,6 +17,7 @@ root.render(
<ErrorBoundary>
<App
isFirstRun={isFirstRun}
isNewVersion={isNewVersion}
nCPU={nCPU}
/>
</ErrorBoundary>

View File

@ -253,7 +253,7 @@ exceed 100% of window.*/
}
.recent-job-card {
width: inherit;
width: inherit;
margin-bottom: 1rem;
padding: 0;
height: fit-content;
@ -617,3 +617,18 @@ input[type=text]::placeholder {
.error-boundary .btn {
margin: 1rem;
}
/* Changelog modal */
.link-external {
&:after {
content: '';
display: inline-block;
width: 1rem;
height: 1rem;
/* Icon is react-icons/md/MdOpenInNew, as a URL-encoded SVG */
background-image: url("data:image/svg+xml,%3Csvg stroke='currentColor' fill='currentColor' stroke-width='0' viewBox='0 0 24 24' class='mr-1' height='1em' width='1em' xmlns='http://www.w3.org/2000/svg'%3E%3Cpath fill='none' d='M0 0h24v24H0z'%3E%3C/path%3E%3Cpath d='M19 19H5V5h7V3H5a2 2 0 00-2 2v14a2 2 0 002 2h14c1.1 0 2-.9 2-2v-7h-2v7zM14 3v2h3.59l-9.83 9.83 1.41 1.41L19 6.41V10h2V3h-7z'%3E%3C/path%3E%3C/svg%3E");
background-repeat: no-repeat;
background-position: left 0.125rem top 0.125rem;
background-size: 1rem 1rem;
}
}

View File

@ -13,6 +13,7 @@ import puppeteer from 'puppeteer-core';
import pkg from '../../package.json';
import { APP_HAS_RUN_TOKEN } from '../../src/main/setupCheckFirstRun';
import { APP_VERSION_TOKEN } from '../../src/main/setupIsNewVersion';
jest.setTimeout(240000);
const PORT = 9009;
@ -26,9 +27,10 @@ let BINARY_PATH;
// append to this prefix and the image will be uploaded to github artifacts
// E.g. page.screenshot({ path: `${SCREENSHOT_PREFIX}screenshot.png` })
let SCREENSHOT_PREFIX;
// We'll clear this token before launching the app so we can have a
// We'll clear these tokens before launching the app so we can have a
// predictable startup page.
let APP_HAS_RUN_TOKEN_PATH;
let APP_VERSION_TOKEN_PATH;
// On GHA macos, invest validation can time-out reading from os.tmpdir
// So on GHA, use the homedir instead.
@ -45,6 +47,9 @@ if (process.platform === 'darwin') {
APP_HAS_RUN_TOKEN_PATH = path.join(
os.homedir(), 'Library/Application Support', pkg.name, APP_HAS_RUN_TOKEN
);
APP_VERSION_TOKEN_PATH = path.join(
os.homedir(), 'Library/Application Support', pkg.name, APP_VERSION_TOKEN
);
} else if (process.platform === 'win32') {
[BINARY_PATH] = glob.sync('./dist/win-unpacked/InVEST*.exe');
SCREENSHOT_PREFIX = path.join(
@ -53,6 +58,9 @@ if (process.platform === 'darwin') {
APP_HAS_RUN_TOKEN_PATH = path.join(
os.homedir(), 'AppData/Roaming', pkg.name, APP_HAS_RUN_TOKEN
);
APP_VERSION_TOKEN_PATH = path.join(
os.homedir(), 'AppData/Roaming', pkg.name, APP_VERSION_TOKEN
);
}
if (!fs.existsSync(BINARY_PATH)) {
@ -97,6 +105,7 @@ afterAll(() => {
// https://github.com/facebook/jest/issues/8688
beforeEach(() => {
try { fs.unlinkSync(APP_HAS_RUN_TOKEN_PATH); } catch {}
try { fs.unlinkSync(APP_VERSION_TOKEN_PATH); } catch {}
// start the invest app and forward stderr to console
ELECTRON_PROCESS = spawn(
`"${BINARY_PATH}"`,
@ -164,11 +173,22 @@ test('Run a real invest model', async () => {
});
await page.screenshot({ path: `${SCREENSHOT_PREFIX}1-page-load.png` });
const downloadModal = await page.waitForSelector('.modal-dialog');
const downloadModal = await page.waitForSelector(
'aria/[name="Download InVEST sample data"][role="dialog"]'
);
const downloadModalCancel = await downloadModal.waitForSelector(
'aria/[name="Cancel"][role="button"]');
await page.waitForTimeout(WAIT_TO_CLICK); // waiting for click handler to be ready
await downloadModalCancel.click();
const changelogModal = await page.waitForSelector(
'aria/[name="New in this version"][role="dialog"]'
);
const changelogModalClose = await changelogModal.waitForSelector(
'aria/[name="Close modal"][role="button"]');
await page.waitForTimeout(WAIT_TO_CLICK); // waiting for click handler to be ready
await changelogModalClose.click();
// We need to get the modelButton from w/in this list-group because there
// are buttons with the same name in the Recent Jobs container.
const investModels = await page.waitForSelector('.invest-list-group');
@ -233,12 +253,23 @@ test('Check local userguide links', async () => {
page.on('error', (err) => {
console.log(err);
});
const downloadModal = await page.waitForSelector('.modal-dialog');
const downloadModal = await page.waitForSelector(
'aria/[name="Download InVEST sample data"][role="dialog"]'
);
const downloadModalCancel = await downloadModal.waitForSelector(
'aria/[name="Cancel"][role="button"]');
await page.waitForTimeout(WAIT_TO_CLICK); // waiting for click handler to be ready
await downloadModalCancel.click();
const changelogModal = await page.waitForSelector(
'aria/[name="New in this version"][role="dialog"]'
);
const changelogModalClose = await changelogModal.waitForSelector(
'aria/[name="Close modal"][role="button"]');
await page.waitForTimeout(WAIT_TO_CLICK); // waiting for click handler to be ready
await changelogModalClose.click();
const investList = await page.waitForSelector('.invest-list-group');
const modelButtons = await investList.$$('aria/[role="button"]');

View File

@ -180,12 +180,14 @@ describe('createWindow', () => {
test('should register various ipcMain listeners', async () => {
await createWindow();
const expectedHandleChannels = [
ipcMainChannels.BASE_URL,
ipcMainChannels.CHANGE_LANGUAGE,
ipcMainChannels.CHECK_STORAGE_TOKEN,
ipcMainChannels.CHECK_FILE_PERMISSIONS,
ipcMainChannels.GET_SETTING,
ipcMainChannels.GET_N_CPUS,
ipcMainChannels.INVEST_VERSION,
ipcMainChannels.IS_NEW_VERSION,
ipcMainChannels.IS_FIRST_RUN,
ipcMainChannels.OPEN_PATH,
ipcMainChannels.SHOW_OPEN_DIALOG,

View File

@ -0,0 +1,77 @@
import React from 'react';
import '@testing-library/jest-dom';
import { render } from '@testing-library/react';
import userEvent from '@testing-library/user-event';
import App from '../../src/renderer/app';
import pkg from '../../package.json';
describe('Changelog', () => {
const currentVersion = pkg.version;
const nonexistentVersion = 'nonexistent-version';
beforeEach(() => {
jest.spyOn(window, 'fetch')
.mockResolvedValue({
ok: true,
text: () => `
<html>
<head></head>
<body>
<section>
<h1>${currentVersion}</h1>
</section>
<section>
<h1>${nonexistentVersion}</h1>
</section>
</body>
</html>
`
});
});
test('Changelog modal opens immediately on launch of a new version', async () => {
const { findByRole } = render(<App isNewVersion />);
const changelogModal = await findByRole('dialog', { name: 'New in this version' });
expect(changelogModal).toBeInTheDocument();
});
test('On first run (of any version), Changelog modal opens after Download modal is closed', async () => {
const { findByRole, getByText } = render(<App isFirstRun isNewVersion />);
let changelogModalFound = true;
try {
await findByRole('dialog', { name: 'New in this version' });
} catch {
changelogModalFound = false;
}
expect(changelogModalFound).toBe(false);
const downloadModal = await findByRole('dialog', { name: 'Download InVEST sample data' });
expect(downloadModal).toBeInTheDocument();
await userEvent.click(getByText('Cancel'));
expect(downloadModal).not.toBeInTheDocument();
const changelogModal = await findByRole('dialog', { name: 'New in this version' });
expect(changelogModal).toBeInTheDocument();
});
test('Changelog modal does not open when current version has been run before', async () => {
const { findByRole } = render(<App isNewVersion={false} />);
let changelogModalFound = true;
try {
await findByRole('dialog', { name: 'New in this version' });
} catch {
changelogModalFound = false;
}
expect(changelogModalFound).toBe(false);
});
test('Changelog modal contains only content relevant to the current version', async () => {
const { findByRole, queryByRole } = render(<App isNewVersion />);
const currentVersionSectionHeading = await findByRole('heading', { name: currentVersion });
expect(currentVersionSectionHeading).toBeInTheDocument();
const nonexistentVersionSectionHeading = queryByRole('heading', { name: nonexistentVersion });
expect(nonexistentVersionSectionHeading).not.toBeInTheDocument();
});
});

View File

@ -24,6 +24,7 @@ export default defineConfig({
path.resolve(PROJECT_ROOT, 'splash.html'),
path.resolve(PROJECT_ROOT, 'report_a_problem.html'),
path.resolve(PROJECT_ROOT, 'about.html'),
path.resolve(PROJECT_ROOT, 'changelog.html'),
],
},
emptyOutDir: true,