Weave takes an online CSV file and parses the content to produce the Strings files for an Android or iOS app. It also parses the Strings for Web/React Native in the form of a Json: a Json object with key-value pairs, the key being the String key and the value being the translated String for that language.
It can also parse Constants into files that you are using the same properties cross-platform (ex: Analytics tags, Regex expressions).
It will also show any warnings or errors that the Strings file might have. Please note that it assumes that the file is in UTF-8 and also produces UTF-8 files.
To use this:
- Download the latest jar from the releases tab and the sample config
- Set up your config file (fill out the fields in the config). The following fields are optional:
headerColumnName, which represents the symbol to show that a line is a header, defaults to###.keyColumnName, which represents the name of the column where the key is stored, defaults tokey
- Any columns containing translations in your CSV file must have a header with the 2 character language Id (ex: en, fr)
- You may also add a column with the name of your platform and mark which Strings should be parsed for a platform by putting 'true' or 'X' in that column for the Strings to parse. If the column for the current platform doesn't exist, all Strings will be parsed.
- Keys must be unique, not have spaces, and not be null (the parser will inform of any errors when you run it)
- You can add headers (which will be parsed as comments) in your Strings file by adding or surrounding your header
with '###' (or whatever you specify).For example, if you put ### General ### (or ### General), it will be parsed
as
/* General */on iOS and<!-- General -->on Android - You can add formatted Strings using
$1,$2, and so on. - Run the jar
For the constants:
- Fill out the same sample config. You can add as many configs as you want to the
constantsarray. - This will generate an
objecton Android /classon iOS / Json object on Web. Within this object, you can have enums for the different subclasses using thetypefunctionality (if not they will be top level constants). The key will be used as variable names (optionally capitalized on mobile), and the tag will be the value. - You can change the casing of both the types and values to be none (leave as is), camel (capitalize each word except first), pascal (capitalize each word), snake (lowercase everything, underscores for spaces), and caps (capitalize everything, underscores for spaces). Note, for this to work you need to separate each word by a space in your CSV.
See the Change Log.
Copyright 2013-2022 Julien Guerinet
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.