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created base structure

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Martin 2026-01-28 15:16:38 +01:00
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Current or previous core committers:
* Martin Schröder
Current and previous core designers:
* Martin Schröder
Contributors (in alphabetical order):

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above cannot be given local legal effect according to their terms,
reviewing courts shall apply local law that most closely approximates
an absolute waiver of all civil liability in connection with the
Program, unless a warranty or assumption of liability accompanies a
copy of the Program in return for a fee.
END OF TERMS AND CONDITIONS
How to Apply These Terms to Your New Programs
If you develop a new program, and you want it to be of the greatest
possible use to the public, the best way to achieve this is to make it
free software which everyone can redistribute and change under these terms.
To do so, attach the following notices to the program. It is safest
to attach them to the start of each source file to most effectively
state the exclusion of warranty; and each file should have at least
the "copyright" line and a pointer to where the full notice is found.
<one line to give the program's name and a brief idea of what it does.>
Copyright (C) <year> <name of author>
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
Also add information on how to contact you by electronic and paper mail.
If your software can interact with users remotely through a computer
network, you should also make sure that it provides a way for users to
get its source. For example, if your program is a web application, its
interface could display a "Source" link that leads users to an archive
of the code. There are many ways you could offer source, and different
solutions will be better for different programs; see section 13 for the
specific requirements.
You should also get your employer (if you work as a programmer) or school,
if any, to sign a "copyright disclaimer" for the program, if necessary.
For more information on this, and how to apply and follow the GNU AGPL, see
<https://www.gnu.org/licenses/>.

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include AUTHORS
include LICENSE
include README.rst
include CHANGELOG.txt
recursive-include pyscada/influxdb/fixtures *
recursive-include pyscada/influxdb/templates *
recursive-exclude * *.pyc

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PyScada Influxdb Extension
===================================
This is a extension for PyScada to Store Data in a Influxdb Bucket.
What is Working
---------------
- nothing
What is not Working/Missing
---------------------------
- Documentation
- many more
Installation
------------
- pip install pyscada-influxdb
Contribute
----------
- Issue Tracker: https://github.com/pyscada/PyScada-Influxdb/issues
- Source Code: https://github.com/pyscada/PyScada-Influxdb
License
-------
The project is licensed under the _GNU AFFERO GENERAL PUBLIC LICENSE Version 3 (AGPLv3)_.
-

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import globals from "globals";
import js from "@eslint/js";
export default [
js.configs.recommended,
{
files: ["**/*.js"],
rules: {
"camelcase": ["off", {"properties": "always"}],
"comma-spacing": ["error", {"before": false, "after": true}],
"curly": ["error", "all"],
"dot-notation": ["error", {"allowKeywords": true}],
"eqeqeq": ["error"],
"indent": ["error", 4],
"key-spacing": ["error", {"beforeColon": false, "afterColon": true}],
"linebreak-style": ["error", "unix"],
"new-cap": ["off", {"newIsCap": true, "capIsNew": true}],
"no-alert": ["off"],
"no-eval": ["error"],
"no-extend-native": ["error", {"exceptions": ["Date", "String"]}],
"no-multi-spaces": ["error"],
"no-octal-escape": ["error"],
"no-script-url": ["error"],
"no-shadow": ["error", {"hoist": "functions"}],
"no-underscore-dangle": ["error"],
"no-unused-vars": ["error", {"vars": "local", "args": "none"}],
"no-var": ["error"],
"prefer-const": ["error"],
"quotes": ["off", "single"],
"semi": ["error", "always"],
"space-before-blocks": ["error", "always"],
"space-before-function-paren": ["error", {"anonymous": "never", "named": "never"}],
"space-infix-ops": ["error", {"int32Hint": false}],
"strict": ["error", "global"]
},
languageOptions: {
ecmaVersion: 6,
sourceType: "script",
globals: {
...globals.browser,
...globals.commonjs,
"django": false
}
}
},
{
files: ["**/*.mjs"],
languageOptions: {
sourceType: "module"
}
},
{
ignores: [
"**/*.min.js",
"**/vendor/**/*.js",
"django/contrib/gis/templates/**/*.js",
"django/views/templates/*.js",
"docs/_build/**/*.js",
"node_modules/**.js",
"tests/**/*.js",
]
}
];

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pyproject.toml Normal file
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[build-system]
requires = ["setuptools>=61.0.0,<69.3.0"]
build-backend = "setuptools.build_meta:__legacy__"
[project]
name = "PyScada-Influxdb"
version = "0.8.0"
requires-python = ">= 3.10"
dependencies = [
"pyscada>=0.8.0",
"pytz",
"influxdb_client"
]
authors = [
{name = "Martin Schröder", email = "team@pyscada.org"},
]
description = "Influxdb extension for PyScada a Python and Django based Open Source SCADA System"
readme = "README.rst"
license = {text = "AGPLv3"}
classifiers = [
"Development Status :: 4 - Beta",
"Environment :: Web Environment",
"Environment :: Console",
"Framework :: Django",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
"Operating System :: POSIX",
"Operating System :: MacOS :: MacOS X",
"Programming Language :: Python",
"Programming Language :: JavaScript",
"Topic :: Internet :: WWW/HTTP :: Dynamic Content",
"Topic :: Scientific/Engineering :: Visualization",
]
[project.urls]
Homepage = "https://www.pyscada.org/"
Documentation = "https://pyscada.readthedocs.io"
Source = "https://github.com/pyscada/PyScada-Influxdb"
Tracker = "https://github.com/pyscada/PyScada-Influxdb/issues"
[tool.black]
target-version = ["py310"]
force-exclude = "tests/test_runner_apps/tagged/tests_syntax_error.py"
[tool.isort]
profile = "black"
default_section = "THIRDPARTY"
known_first_party = "pyscada"
[tool.setuptools.packages.find]
include = ["pyscada*"]

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from pkgutil import extend_path
__path__ = extend_path(__path__, __name__)

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pyscada/influxdb/__init__.py Normal file
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# -*- coding: utf-8 -*-
from __future__ import unicode_literals
__version__ = "0.1.0"
__author__ = "Martin Schröder"
__email__ = "team@pyscada.org"
__description__ = (
"Influxdb extension for PyScada a Python and Django based Open Source SCADA System"
)
__app_name__ = "influxdb"
PROTOCOL_ID = 21

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pyscada/influxdb/admin.py Normal file
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import logging
import traceback
from django.contrib import admin
from pyscada.admin import admin_site
from pyscada.influxdb.models import (
InfluxDatabase,
)
logger = logging.getLogger(__name__)
admin_site.register(InfluxDatabase, InfluxDatabaseAdmin)

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pyscada/influxdb/apps.py Normal file
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# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.apps import AppConfig
from django.utils.translation import gettext_lazy as _
class PyScadaEMSConfig(AppConfig):
name = "pyscada.influxdb"
verbose_name = _("PyScada Influx Database")
default_auto_field = "django.db.models.AutoField"
def ready(self):
pass

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# -*- coding: utf-8 -*-
from __future__ import unicode_literals
try:
driver_ok = True
except ImportError:
driver_ok = False
import logging
from pyscada.ems.models import MeteringPoint, VirtualMeteringPoint
from pyscada.models import BackgroundProcess
from pyscada.utils.scheduler import Process
logger = logging.getLogger(__name__)
class Device:
"""
EMS Background class
"""
def __init__(self, device):
self.device = device
self._device_not_accessible = 0
self.variables = {}
def request_data(self):
"""process the data that was added to pyscada db"""
output = []
return output
class PreCalculationBackgroundTask(Process):
def init_process(self):
if hasattr(self, "mp_ids_to_calculate") or hasattr(
self, "vmp_ids_to_calculate"
):
self.mp_to_calculate = []
else:
self.mp_to_calculate = [mp for mp in MeteringPoint.objects.all()]
self.calculate_type = "mp"
if hasattr(self, "mp_ids_to_calculate"):
self.calculate_type = "mp"
if self.mp_ids_to_calculate == "all":
self.mp_to_calculate += [mp for mp in MeteringPoint.objects.all()]
elif self.mp_ids_to_calculate == "none":
pass
else:
self.mp_to_calculate += [
mp
for mp in MeteringPoint.objects.filter(
pk__in=self.mp_ids_to_calculate
)
]
elif hasattr(self, "vmp_ids_to_calculate"):
self.calculate_type = "vmp"
if self.vmp_ids_to_calculate == "all":
self.mp_to_calculate += [
mp for mp in VirtualMeteringPoint.objects.all()
]
elif self.vmp_ids_to_calculate == "none":
pass
else:
self.mp_to_calculate += [
mp
for mp in VirtualMeteringPoint.objects.filter(
pk__in=self.vmp_ids_to_calculate
)
]
self.dt_set = 0.1
return True
def loop(self):
if len(self.mp_to_calculate) == 0:
self.next_message = "done"
return 0, None # done
if self.calculate_type == "vmp" and BackgroundProcess.objects.filter(
process_class="pyscada.ems.daemon.PreCalculationBackgroundTask",
label="update precalculated mp",
done=False,
):
self.dt_set = 30
self.next_message = "wait for running update mp processes to finish"
return 1, None
mp = self.mp_to_calculate.pop(0)
self.dt_set = 0.1
mp.update_calculated_energy_deltas()
self.next_message = (
f"Calculated {mp.name}, {len(self.mp_to_calculate)} to calculate"
)
return 1, None

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0
pyscada/influxdb/management/commands/__init__.py Normal file
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pyscada/influxdb/management/commands/sync_data.py Normal file
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#!/usr/bin/python
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
import json
from django.core.management.base import BaseCommand
from pyscada.ems.models import MeteringPoint, VirtualMeteringPoint
from pyscada.models import BackgroundProcess
from time import time
class Command(BaseCommand):
help = "Run Maintenance Jobs for PyScada-EMS"
def add_arguments(self, parser):
parser.add_argument(
"type", choices=["mp", "vmp", "all"], type=str, default="all"
)
parser.add_argument(
"id", type=int, default=-1, nargs="?",
)
def handle(self, *args, **options):
workers = 10
if options["id"] >= 0:
tic = time()
if options["type"] == "all":
print("argument id not supported for type == 'all'")
if options["type"] == "mp":
mp = MeteringPoint.objects.filter(pk=options["id"]).first()
if mp is None:
print(f"MeteringPoint with id {options['id']} not found!")
mp.update_calculated_energy_deltas()
print(f"{(time()-tic):1.2f}")
return
if options["type"] == "vmp":
tic = time()
vmp = VirtualMeteringPoint.objects.filter(pk=options["id"]).first()
if vmp is None:
print(f"VirtualMeteringPoint with id {options['id']} not found!")
vmp.update_calculated_energy_deltas()
print(f"{(time()-tic):1.2f}")
return
if options["type"] in ["mp", "all"] and options["id"] == -1:
nb_mp = MeteringPoint.objects.count()
mp_i = 1
mp_ids_to_calculate = []
for worker_id in range(workers):
mp_ids_to_calculate.append([])
worker = 0
for mp in MeteringPoint.objects.all():
print(f"add mp {mp_i}/{nb_mp}: {mp.name} ", end="", flush=True)
# mp.update_calculated_energy_deltas()
mp_ids_to_calculate[worker % workers].append(mp.pk)
worker += 1
mp_i += 1
print(" done")
for worker_id in range(workers):
process_class_kwargs = json.dumps(
{"mp_ids_to_calculate": mp_ids_to_calculate[worker_id]}
)
if len(process_class_kwargs) > 400:
print(
f"process_class_kwargs to long \
({len(process_class_kwargs)}>400)"
)
continue
bp = BackgroundProcess(
pid=0,
label="update precalculated mp",
enabled=True,
parent_process_id=1,
process_class="pyscada.ems.daemon.PreCalculationBackgroundTask",
process_class_kwargs=process_class_kwargs,
)
bp.save()
if options["type"] in ["vmp", "all"] and options["id"] == -1:
process_class_kwargs = json.dumps({"vmp_ids_to_calculate": "all"})
bp = BackgroundProcess(
pid=0,
label="update precalculated vmp",
enabled=True,
parent_process_id=1,
process_class="pyscada.ems.daemon.PreCalculationBackgroundTask",
process_class_kwargs=process_class_kwargs,
)
bp.save()

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# -*- coding: utf-8 -*-
from __future__ import unicode_literals
import os
import re
import traceback
from datetime import datetime
import pytz
from django.conf import settings
from django.db import models
from influxdb_client import InfluxDBClient, Point, WritePrecision
from influxdb_client.client.write_api import SYNCHRONOUS
from pyscada.models import DataSource
tz_local = pytz.timezone(settings.TIME_ZONE)
class InfluxDatabase(DjangoDatabase):
bucket = models.CharField(max_length=255)
api_key = models.CharField(max_length=255)
organisation = models.CharField(max_length=255)
write_precision = models.CharField(default="ms", max_length=2)
url = models.CharField(default="127.0.0.1:8086")
measurement_name = models.CharField(default="pyscada.models.RecordedData", max_length=255)
only_write_to_influxdb = models.BooleanField(default=True, help_text="when selected only a copy of the data is written to the InfluxDB and the SQL Database is used for everything else")
def connect(self):
self.client = InfluxDBClient(url=self.url, token=self.token, org=self.organisation)
return self.client
def get_write_api(self):
if self.client is None:
self.connect()
return self.client.write_api(write_options=SYNCHRONOUS)
def get_query_api(self):
if self.client is None:
self.connect()
return self.client.query_api()
def create_data_element_from_variable(self, variable, value, timestamp, **kwargs):
if value is not None:
date_saved = (
kwargs["date_saved"]
if "date_saved" in kwargs
else variable.date_saved
if hasattr(variable, "date_saved")
else now()
)
return Point(self.measurement_name)
#.field("id", int(int(int(timestamp) * 2097152) + variable.pk))
.tag("variable_id", variable.pk) # has to be a tag to be easily filtered by, even if it is an numeric value
.tag("device_protocol", variable.device.protocol.protocol)
.tag"device_id", variable.device_id) # has to be a tag to be easily filtered by, even if it is an numeric value
.tag("value_class", variable.value_class)
.tag("unit", str(variable.unit))
.field("value", value)
.field("date_saved", date_saved)
.timestamp(timestamp / 1000)
return None
def last_value(self, **kwargs):
if self.only_write_to_influxdb:
return super(self).last_value(**kwargs)
variable = kwargs.pop("variable") if "variable" in kwargs else None
use_date_saved = (
kwargs.pop("use_date_saved") if "use_date_saved" in kwargs else False
)
query = f'from(bucket: "{self.bucket}") |> range(start: {time_min}) |> filter(fn:(r) => r._measurement == "{self.measurement_name}" ) |> filter(fn:(r) => r.variable_id == "{variable_id}") |> filter(fn:(r) => r._field == "value") |> keep(columns: ["_time","_value"]) |> last()'
r = query_api.query(query)
r = r.to_values(columns=['_time','_value'])[0]
if len(r) == 0:
return None
return [r[-1][0].timestamp(), r[-1][1]]
def read_multiple(self, **kwargs):
if self.only_write_to_influxdb:
return super(self).read_multiple(**kwargs)
variable_ids = kwargs.pop("variable_ids") if "variable_ids" in kwargs else []
time_min = kwargs.pop("time_min") if "time_min" in kwargs else 0
time_max = kwargs.pop("time_max") if "time_max" in kwargs else time.time()
time_in_ms = kwargs.pop("time_in_ms") if "time_in_ms" in kwargs else True
query_first_value = (
kwargs.pop("query_first_value") if "query_first_value" in kwargs else False
)
variable_ids = self.datasource.datasource_check(
variable_ids, items_as_id=True, ids_model=Variable
)
if kwargs.get("time_min_excluded", False):
time_min = time_min + 0.001
if kwargs.get("time_max_excluded", False):
time_max = time_max - 0.001
if time_in_ms:
f_time_scale = 1000
else:
f_time_scale = 1
values = {}
query_api = self.get_query_api()
tmp_time_max = time_min
date_saved_max = time_min
for variable_id in variable_ids:
query = f'from(bucket: "{self.bucket}") |> range(start: {time_min}, stop: {time_max}) |> filter(fn:(r) => r._measurement == "{self.measurement_name}" ) |> filter(fn:(r) => r.variable_id == "{variable_id}") |> filter(fn:(r) => r._field == "value") |> keep(columns: ["_time","_value"])'
r = query_api.query(query)
values[variable_id] = [ [i_time.timestamp(), i_value] for i_time, i_value in r.to_values(["_time","_value"])]
tmp_time_max = max(tmp_time_max, max([i_time for i_time, i_value in values[variable_id]])
query = f'from(bucket: "{self.bucket}") |> range(start: {time_min}, stop: {time_max}) |> filter(fn:(r) => r._measurement == "{self.measurement_name}" ) |> filter(fn:(r) => r.variable_id == "{variable_id}") |> filter(fn:(r) => r._field == "date_saved") |> max()'
r = query_api.query(query)
date_saved_max = max(date_saved_max, r.to_values(["_value"])[0][0])
values["timestamp"] = tmp_time_max * f_time_scale
values["date_saved_max"] = date_saved_max * f_time_scale
return values
def write_multiple(self, **kwargs):
if self.only_write_to_influxdb:
data_model = self._import_model()
items = kwargs.pop("items") if "items" in kwargs else []
items = self.datasource.datasource_check(items) # FIXME what is happening here?
points = []
recordings = []
date_saved = kwargs.pop("date_saved") if "date_saved" in kwargs else now()
write_api = self.get_write_api()
batch_size = kwargs.pop("batch_size") if "batch_size" in kwargs else 5000
i = 0
for item in items:
logger.debug(f"{item} has {len(item.cached_values_to_write)} to write.")
if len(item.cached_values_to_write):
for cached_value in item.cached_values_to_write:
# add date saved if not exist in variable object, if date_saved is in kwargs it will be used instead of the variable.date_saved (see the create_data_element_from_variable function)
if not hasattr(item, "date_saved") or item.date_saved is None:
item.date_saved = date_saved
# create the recorded data object
point = self.create_data_element_from_variable(
item, cached_value[1], cached_value[0], **kwargs
)
if self.only_write_to_influxdb:
rc = data_model.objects.create_data_element_from_variable(
item, cached_value[1], cached_value[0], **kwargs
)
if rc is not None:
recordings.append(rc)
# append the object to the elements to save
if point is not None:
points.append(point)
i += 1
if i%batch_size == 0:
write_api.write(bucket=bucket, org="tub", record=points, write_precision=self.write_precision)
points = []
if self.only_write_to_influxdb:
try:
data_model.objects.bulk_create(recorded_datas, batch_size=batch_size, **kwargs)
except IntegrityError:
logger.debug(
f'{data_model._meta.object_name} objects already exists, retrying ignoring conflicts for : {", ".join(str(i.id) + " " + str(i.variable.id) for i in recorded_datas)}'
)
data_model.objects.bulk_create(
recorded_datas, ignore_conflicts=True, batch_size=batch_size, **kwargs
)
if len(points) > 0:
write_api.write(bucket=bucket, org="tub", record=points, write_precision=self.write_precision)
for item in items:
item.date_saved = None
def get_first_element_timestamp(self, **kwargs):
"""this will likly time out and should be considert non functioning!
"""
if self.only_write_to_influxdb:
return super(self).get_first_element_timestamp(**kwargs)
return self.get_edge_element_timestamp(first_last="first", **kwargs)
def get_last_element_timestamp(self, **kwargs):
if self.only_write_to_influxdb:
return super(self).get_last_element_timestamp(**kwargs)
return self.get_edge_element_timestamp(first_last="last", **kwargs)
def get_edge_element_timestamp(self, first_last="last", **kwargs):
if "variables" in kwargs:
variable_ids = [ v.pk for v in kwargs["variables"]]
elif "variable" in kwargs:
variable_ids = [ kwargs["variable"].pk ]
elif "variable_ids" in kwargs:
variable_ids = kwargs["variable_ids"]
elif "variable_id" in kwargs:
variable_ids = [ kwargs["variable_id"]]
else:
return None
query_api = self.get_query_api()
start_time = "-24h"
query = f'from(bucket: "{self.bucket}") |> range(start: {start_time}) |> filter(fn:(r) => r._measurement == "{self.measurement_name}" ) |> filter(fn:(r) =>'
for variable_id in variable_ids:
query += ' r.variable_id == "{variable_id}" or '
query = query[:-3]
if first_last == "last":
query += ') |> keep(columns: ["_time"]) |> sort(columns: ["_time"], desc: false) |> last(column: "_time")'
elif first_last == "first":
query += ') |> keep(columns: ["_time"]) |> sort(columns: ["_time"], desc: false) |> first(column: "_time")'
else:
return None
r = query_api.query(query)
r = r.to_values(columns=['_time'])[0]
if len(r) == 0:
return None
if first_last == "last":
return r[-1].timestamp()
elif first_last == "first":
return r[0].timestamp()

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# -*- coding: utf-8 -*-
from __future__ import unicode_literals
import logging
# from django.db.models.signals import post_save, pre_delete
# from django.dispatch import receiver
logger = logging.getLogger(__name__)

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from datetime import datetime
from django.test import TestCase
# Create your tests here.

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# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.urls import path
urlpatterns = []

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# -*- coding: utf-8 -*-
import os
from setuptools import find_packages, setup
from pyscada import ems as pyscada_app
CLASSIFIERS = [
"Development Status :: 4 - Beta",
"Environment :: Web Environment",
"Environment :: Console",
"Framework :: Django",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
"Operating System :: POSIX",
"Operating System :: MacOS :: MacOS X",
"Programming Language :: Python",
"Programming Language :: JavaScript",
"Topic :: Internet :: WWW/HTTP :: Dynamic Content",
"Topic :: Scientific/Engineering :: Visualization",
]
setup(
author=pyscada_app.__author__,
author_email=pyscada_app.__email__,
name="pyscada-" + pyscada_app.__app_name__.lower(),
version=pyscada_app.__version__,
description=pyscada_app.__description__,
long_description=open(os.path.join(os.path.dirname(__file__), "README.rst")).read(),
url="http://www.github.com/pyscada/PyScada-Influxdb",
license="AGPLv3",
platforms=["OS Independent"],
classifiers=CLASSIFIERS,
install_requires=[
"pyscada>=0.8.0",
"pytz",
"influxdb_client"
],
packages=find_packages(exclude=["project", "project.*"]),
include_package_data=True,
zip_safe=False,
test_suite="runtests.main",
)

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# Tox (https://tox.readthedocs.io/) is a tool for running tests in multiple
# virtualenvs. This configuration file helps to run the test suite on all
# supported Python versions. To use it, "python -m pip install tox" and
# then run "tox" from this directory.
[tox]
minversion = 4.0
skipsdist = true
envlist =
py3
black
blacken-docs
flake8
docs
isort
# Add environment to use the default python3 installation
[testenv:py3]
basepython = python3
[testenv]
usedevelop = true
# OBJC_DISABLE_INITIALIZE_FORK_SAFETY fixes hung tests for MacOS users. (#30806)
passenv = DJANGO_SETTINGS_MODULE,PYTHONPATH,HOME,DISPLAY,OBJC_DISABLE_INITIALIZE_FORK_SAFETY
setenv =
PYTHONDONTWRITEBYTECODE=1
deps =
-e .
py{3,310,311,312,py3}: -rtests/requirements/py3.txt
postgres: -rtests/requirements/postgres.txt
mysql: -rtests/requirements/mysql.txt
oracle: -rtests/requirements/oracle.txt
changedir = tests
commands =
{envpython} runtests.py {posargs}
[testenv:black]
basepython = python3
usedevelop = false
deps = black
changedir = {toxinidir}
commands = black --check --diff .
[testenv:blacken-docs]
basepython = python3
usedevelop = false
allowlist_externals =
make
deps = blacken-docs
changedir = docs
commands =
make black
[testenv:flake8]
basepython = python3
usedevelop = false
deps = flake8 >= 3.7.0
changedir = {toxinidir}
commands = flake8 .
[testenv:docs]
basepython = python3
usedevelop = false
allowlist_externals =
make
deps =
Sphinx
pyenchant
sphinxcontrib-spelling
changedir = docs
commands =
make spelling
[testenv:isort]
basepython = python3
usedevelop = false
deps = isort >= 5.1.0
changedir = {toxinidir}
commands = isort --check-only --diff django tests scripts
[testenv:javascript]
usedevelop = false
deps =
changedir = {toxinidir}
allowlist_externals =
npm
commands =
npm install
npm test