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@@ -0,0 +1 @@ +/deepl-1.14.0.tar.gz diff --git a/python-deepl.spec b/python-deepl.spec new file mode 100644 index 0000000..0730cdc --- /dev/null +++ b/python-deepl.spec @@ -0,0 +1,1922 @@ +%global _empty_manifest_terminate_build 0 +Name: python-deepl +Version: 1.14.0 +Release: 1 +Summary: Python library for the DeepL API. +License: MIT +URL: https://github.com/DeepLcom/deepl-python +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/84/de/2a97e766cb824645b9dbb2399523b7050cbfc3bf7934a88488e124339079/deepl-1.14.0.tar.gz +BuildArch: noarch + +Requires: python3-requests +Requires: python3-keyring + +%description +# DeepL Python Library + +[](https://pypi.org/project/deepl/) +[](https://pypi.org/project/deepl/) +[](https://github.com/DeepLcom/deepl-python/blob/main/LICENSE) + +The [DeepL API][api-docs] is a language translation API that allows other +computer programs to send texts and documents to DeepL's servers and receive +high-quality translations. This opens a whole universe of opportunities for +developers: any translation product you can imagine can now be built on top of +DeepL's best-in-class translation technology. + +The DeepL Python library offers a convenient way for applications written in +Python to interact with the DeepL API. We intend to support all API functions +with the library, though support for new features may be added to the library +after they’re added to the API. + +## Getting an authentication key + +To use the DeepL Python Library, you'll need an API authentication key. To get a +key, [please create an account here][create-account]. With a DeepL API Free +account you can translate up to 500,000 characters/month for free. + +## Installation + +The library can be installed from [PyPI][pypi-project] using pip: + +```shell +pip install --upgrade deepl +``` + +If you need to modify this source code, install the dependencies using poetry: + +```shell +poetry install +``` + +On Ubuntu 22.04 an error might occur: `ModuleNotFoundError: No module named +'cachecontrol'`. Use the workaround `sudo apt install python3-cachecontrol` as +explained in this [bug report][bug-report-ubuntu-2204]. + +### Requirements + +The library is tested with Python versions 3.6 to 3.11. + +The `requests` module is used to perform HTTP requests; the minimum is version +2.0. + +## Usage + +Import the package and construct a `Translator`. The first argument is a string +containing your API authentication key as found in your +[DeepL Pro Account][pro-account]. + +Be careful not to expose your key, for example when sharing source code. + +```python +import deepl + +auth_key = "f63c02c5-f056-..." # Replace with your key +translator = deepl.Translator(auth_key) + +result = translator.translate_text("Hello, world!", target_lang="FR") +print(result.text) # "Bonjour, le monde !" +``` + +This example is for demonstration purposes only. In production code, the +authentication key should not be hard-coded, but instead fetched from a +configuration file or environment variable. + +`Translator` accepts additional options, see [Configuration](#configuration) +for more information. + +### Translating text + +To translate text, call `translate_text()`. The first argument is a string +containing the text you want to translate, or a list of strings if you want to +translate multiple texts. + +`source_lang` and `target_lang` specify the source and target language codes +respectively. The `source_lang` is optional, if it is unspecified the source +language will be auto-detected. + +Language codes are **case-insensitive** strings according to ISO 639-1, for +example `'DE'`, `'FR'`, `'JA''`. Some target languages also include the regional +variant according to ISO 3166-1, for example `'EN-US'`, or `'PT-BR'`. The full +list of supported languages is in the +[API documentation][api-docs-lang-list]. + +There are additional optional arguments to control translation, see +[Text translation options](#text-translation-options) below. + +`translate_text()` returns a `TextResult`, or a list of `TextResult`s +corresponding to your input text(s). `TextResult` has two properties: `text` is +the translated text, and `detected_source_lang` is the detected source language +code. + +```python +# Translate text into a target language, in this case, French: +result = translator.translate_text("Hello, world!", target_lang="FR") +print(result.text) # "Bonjour, le monde !" + +# Translate multiple texts into British English +result = translator.translate_text( + ["お元気ですか？", "¿Cómo estás?"], target_lang="EN-GB" +) +print(result[0].text) # "How are you?" +print(result[0].detected_source_lang) # "JA" the language code for Japanese +print(result[1].text) # "How are you?" +print(result[1].detected_source_lang) # "ES" the language code for Spanish + +# Translate into German with less and more Formality: +print( + translator.translate_text( + "How are you?", target_lang="DE", formality="less" + ) +) # 'Wie geht es dir?' +print( + translator.translate_text( + "How are you?", target_lang="DE", formality="more" + ) +) # 'Wie geht es Ihnen?' +``` + +#### Text translation options + +In addition to the input text(s) argument, the available `translate_text()` +arguments are: + +- `source_lang`: Specifies the source language code, but may be omitted to + auto-detect the source language. +- `target_lang`: Required. Specifies the target language code. +- `split_sentences`: specify how input text should be split into sentences, + default: `'on'`. + - `'on''` (`SplitSentences.ON`): input text will be split into sentences + using both newlines and punctuation. + - `'off'` (`SplitSentences.OFF`): input text will not be split into + sentences. Use this for applications where each input text contains only + one sentence. + - `'nonewlines'` (`SplitSentences.NO_NEWLINES`): input text will be split + into sentences using punctuation but not newlines. +- `preserve_formatting`: controls automatic-formatting-correction. Set to `True` + to prevent automatic-correction of formatting, default: `False`. +- `formality`: controls whether translations should lean toward informal or + formal language. This option is only available for some target languages, see + [Listing available languages](#listing-available-languages). + - `'less'` (`Formality.LESS`): use informal language. + - `'more'` (`Formality.MORE`): use formal, more polite language. +- `glossary`: specifies a glossary to use with translation, either as a string + containing the glossary ID, or a `GlossaryInfo` as returned by + `get_glossary()`. +- `tag_handling`: type of tags to parse before translation, options are `'html'` + and `'xml'`. + +The following options are only used if `tag_handling` is `'xml'`: + +- `outline_detection`: specify `False` to disable automatic tag detection, + default is `True`. +- `splitting_tags`: list of XML tags that should be used to split text into + sentences. Tags may be specified as an array of strings (`['tag1', 'tag2']`), + or a comma-separated list of strings (`'tag1,tag2'`). The default is an empty + list. +- `non_splitting_tags`: list of XML tags that should not be used to split text + into sentences. Format and default are the same as for `splitting_tags`. +- `ignore_tags`: list of XML tags that containing content that should not be + translated. Format and default are the same as for `splitting_tags`. + +For a detailed explanation of the XML handling options, see the +[API documentation][api-docs-xml-handling]. + +### Translating documents + +To translate documents, you may call either `translate_document()` using file IO +objects, or `translate_document_from_filepath()` using file paths. For both +functions, the first and second arguments correspond to the input and output +files respectively. + +Just as for the `translate_text()` function, the `source_lang` and +`target_lang` arguments specify the source and target language codes. + +There are additional optional arguments to control translation, see +[Document translation options](#document-translation-options) below. + +```python +# Translate a formal document from English to German +input_path = "/path/to/Instruction Manual.docx" +output_path = "/path/to/Bedienungsanleitung.docx" +try: + # Using translate_document_from_filepath() with file paths + translator.translate_document_from_filepath( + input_path, + output_path, + target_lang="DE", + formality="more" + ) + + # Alternatively you can use translate_document() with file IO objects + with open(input_path, "rb") as in_file, open(output_path, "wb") as out_file: + translator.translate_document( + in_file, + out_file, + target_lang="DE", + formality="more" + ) + +except deepl.DocumentTranslationException as error: + # If an error occurs during document translation after the document was + # already uploaded, a DocumentTranslationException is raised. The + # document_handle property contains the document handle that may be used to + # later retrieve the document from the server, or contact DeepL support. + doc_id = error.document_handle.id + doc_key = error.document_handle.key + print(f"Error after uploading ${error}, id: ${doc_id} key: ${doc_key}") +except deepl.DeepLException as error: + # Errors during upload raise a DeepLException + print(error) +``` + +`translate_document()` and `translate_document_from_filepath()` are convenience +functions that wrap multiple API calls: uploading, polling status until the +translation is complete, and downloading. If your application needs to execute +these steps individually, you can instead use the following functions directly: + +- `translate_document_upload()`, +- `translate_document_get_status()` (or + `translate_document_wait_until_done()`), and +- `translate_document_download()` + +#### Document translation options + +In addition to the input file, output file, `source_lang` and `target_lang` +arguments, the available `translate_document()` and +`translate_document_from_filepath()` arguments are: + +- `formality`: same as in [Text translation options](#text-translation-options). +- `glossary`: same as in [Text translation options](#text-translation-options). + +### Glossaries + +Glossaries allow you to customize your translations using user-defined terms. +Multiple glossaries can be stored with your account, each with a user-specified +name and a uniquely-assigned ID. + +#### Creating a glossary + +You can create a glossary with your desired terms and name using +`create_glossary()`. Each glossary applies to a single source-target language +pair. Note: Glossaries are only supported for some language pairs, see +[Listing available glossary languages](#listing-available-glossary-languages) +for more information. The entries should be specified as a dictionary. + +If successful, the glossary is created and stored with your DeepL account, and +a `GlossaryInfo` object is returned including the ID, name, languages and entry +count. + +```python +# Create an English to German glossary with two terms: +entries = {"artist": "Maler", "prize": "Gewinn"} +my_glossary = translator.create_glossary( + "My glossary", + source_lang="EN", + target_lang="DE", + entries=entries, +) +print( + f"Created '{my_glossary.name}' ({my_glossary.glossary_id}) " + f"{my_glossary.source_lang}->{my_glossary.target_lang} " + f"containing {my_glossary.entry_count} entries" +) +# Example: Created 'My glossary' (559192ed-8e23-...) EN->DE containing 2 entries +``` + +You can also upload a glossary downloaded from the DeepL website using +`create_glossary_from_csv()`. Instead of supplying the entries as a dictionary, +specify the CSV data as `csv_data` either as a file-like object or string or +bytes containing file content: + +```python +# Open the CSV file assuming UTF-8 encoding. If your file contains a BOM, +# consider using encoding='utf-8-sig' instead. +with open('/path/to/glossary_file.csv', 'r', encoding='utf-8') as csv_file: + csv_data = csv_file.read() # Read the file contents as a string + my_csv_glossary = translator.create_glossary_from_csv( + "CSV glossary", + source_lang="EN", + target_lang="DE", + csv_data=csv_data, + ) +``` + +The [API documentation][api-docs-csv-format] explains the expected CSV format in +detail. + +#### Getting, listing and deleting stored glossaries + +Functions to get, list, and delete stored glossaries are also provided: + +- `get_glossary()` takes a glossary ID and returns a `GlossaryInfo` object for a + stored glossary, or raises an exception if no such glossary is found. +- `list_glossaries()` returns a list of `GlossaryInfo` objects corresponding to + all of your stored glossaries. +- `delete_glossary()` takes a glossary ID or `GlossaryInfo` object and deletes + the stored glossary from the server, or raises an exception if no such + glossary is found. + +```python +# Retrieve a stored glossary using the ID +glossary_id = "559192ed-8e23-..." +my_glossary = translator.get_glossary(glossary_id) + +# Find and delete glossaries named 'Old glossary' +glossaries = translator.list_glossaries() +for glossary in glossaries: + if glossary.name == "Old glossary": + translator.delete_glossary(glossary) +``` + +#### Listing entries in a stored glossary + +The `GlossaryInfo` object does not contain the glossary entries, but instead +only the number of entries in the `entry_count` property. + +To list the entries contained within a stored glossary, use +`get_glossary_entries()` providing either the `GlossaryInfo` object or glossary +ID: + +```python +entries = translator.get_glossary_entries(my_glossary) +print(entries) # "{'artist': 'Maler', 'prize': 'Gewinn'}" +``` + +#### Using a stored glossary + +You can use a stored glossary for text translation by setting the `glossary` +argument to either the glossary ID or `GlossaryInfo` object. You must also +specify the `source_lang` argument (it is required when using a glossary): + +```python +text = "The artist was awarded a prize." +with_glossary = translator.translate_text( + text, source_lang="EN", target_lang="DE", glossary=my_glossary, +) +print(with_glossary) # "Der Maler wurde mit einem Gewinn ausgezeichnet." + +# For comparison, the result without a glossary: +without_glossary = translator.translate_text(text, target_lang="DE") +print(without_glossary) # "Der Künstler wurde mit einem Preis ausgezeichnet." +``` + +Using a stored glossary for document translation is the same: set the `glossary` +argument and specify the `source_lang` argument: + +```python +translator.translate_document( + in_file, out_file, source_lang="EN", target_lang="DE", glossary=my_glossary, +) +``` + +The `translate_document()`, `translate_document_from_filepath()` and +`translate_document_upload()` functions all support the `glossary` argument. + +### Checking account usage + +To check account usage, use the `get_usage()` function. + +The returned `Usage` object contains three usage subtypes: `character`, +`document` and `team_document`. Depending on your account type, some usage +subtypes may be invalid; this can be checked using the `valid` property. For API +accounts: + +- `usage.character.valid` is `True`, +- `usage.document.valid` and `usage.team_document.valid` are `False`. + +Each usage subtype (if valid) has `count` and `limit` properties giving the +amount used and maximum amount respectively, and the `limit_reached` property +that checks if the usage has reached the limit. The top level `Usage` object has +the `any_limit_reached` property to check all usage subtypes. + +```python +usage = translator.get_usage() +if usage.any_limit_reached: + print('Translation limit reached.') +if usage.character.valid: + print( + f"Character usage: {usage.character.count} of {usage.character.limit}") +if usage.document.valid: + print(f"Document usage: {usage.document.count} of {usage.document.limit}") +``` + +### Listing available languages + +You can request the list of languages supported by DeepL for text and documents +using the `get_source_languages()` and `get_target_languages()` functions. They +both return a list of `Language` objects. + +The `name` property gives the name of the language in English, and the `code` +property gives the language code. The `supports_formality` property only appears +for target languages, and indicates whether the target language supports the +optional `formality` parameter. + +```python +print("Source languages:") +for language in translator.get_source_languages(): + print(f"{language.name} ({language.code})") # Example: "German (DE)" + +print("Target languages:") +for language in translator.get_target_languages(): + if language.supports_formality: + print(f"{language.name} ({language.code}) supports formality") + # Example: "Italian (IT) supports formality" + else: + print(f"{language.name} ({language.code})") + # Example: "Lithuanian (LT)" +``` + +#### Listing available glossary languages + +Glossaries are supported for a subset of language pairs. To retrieve those +languages use the `get_glossary_languages()` function, which returns an array +of `GlossaryLanguagePair` objects. Each has `source_lang` and `target_lang` +properties indicating that that pair of language codes is supported. + +```python +glossary_languages = translator.get_glossary_languages() +for language_pair in glossary_languages: + print(f"{language_pair.source_lang} to {language_pair.target_lang}") + # Example: "EN to DE", "DE to EN", etc. +``` + +You can also find the list of supported glossary language pairs in the +[API documentation][api-docs-glossary-lang-list]. + +Note that glossaries work for all target regional-variants: a glossary for the +target language English (`"EN"`) supports translations to both American English +(`"EN-US"`) and British English (`"EN-GB"`). + +### Writing a Plugin + +If you use this library in an application, please identify the application with +`deepl.Translator.set_app_info`, which needs the name and version of the app: + +```python +translator = deepl.Translator(...).set_app_info("sample_python_plugin", "1.0.2") +``` + +This information is passed along when the library makes calls to the DeepL API. +Both name and version are required. Please note that setting the `User-Agent` header +via `deepl.http_client.user_agent` will override this setting, if you need to use this, +please manually identify your Application in the `User-Agent` header. + +### Exceptions + +All module functions may raise `deepl.DeepLException` or one of its subclasses. +If invalid arguments are provided, they may raise the standard exceptions +`ValueError` and `TypeError`. + +### Configuration + +#### Logging + +Logging can be enabled to see the HTTP requests sent and responses received by +the library. Enable and control logging using Python's `logging` module, for +example: + +```python +import logging + +logging.basicConfig() +logging.getLogger('deepl').setLevel(logging.DEBUG) +``` + +#### Server URL configuration + +You can override the URL of the DeepL API by specifying the `server_url` +argument when constructing a `deepl.Translator`. This may be useful for testing +purposes. You **do not** need to specify the URL to distinguish API Free and API +Pro accounts, the library selects the correct URL automatically. + +```python +server_url = "http://user:pass@localhost:3000" +translator = deepl.Translator(..., server_url=server_url) +``` + +#### Proxy configuration + +You can configure a proxy by specifying the `proxy` argument when constructing a +`deepl.Translator`: + +```python +proxy = "http://user:pass@10.10.1.10:3128" +translator = deepl.Translator(..., proxy=proxy) +``` + +The proxy argument is passed to the underlying `requests` session, see the +[documentation for requests][requests-proxy-docs]; a dictionary of schemes to +proxy URLs is also accepted. + +#### Override SSL verification + +You can control how `requests` performs SSL verification by specifying the +`verify_ssl` option when constructing a `deepl.Translator`, for example to +disable SSL certificate verification: + +```python +translator = deepl.Translator(..., verify_ssl=False) +``` + +This option is passed to the underlying `requests` session as the `verify` +option, see the [documentation for requests][requests-verify-ssl-docs]. + +#### Anonymous platform information + +By default, we send some basic information about the platform the client library is running on with each request, see [here for an explanation](https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/User-Agent). This data is completely anonymous and only used to improve our product, not track any individual users. If you do not wish to send this data, you can opt-out when creating your `deepl.Translator` object by setting the `send_platform_info` flag like so: + +```python +translator = deepl.Translator(..., send_platform_info=False) +``` + +You can also customize the `user_agent` by setting its value explicitly before constructing your `deepl.Translator` object. + +```python +deepl.http_client.user_agent = 'my custom user agent' +translator = deepl.Translator(os.environ["DEEPL_AUTH_KEY"]) +``` + +## Command Line Interface + +The library can be run on the command line supporting all API functions. Use the +`--help` option for usage information: + +```shell +python3 -m deepl --help +``` + +The CLI requires your DeepL authentication key specified either as the +`DEEPL_AUTH_KEY` environment variable, through the `keyring` module, or +using the `--auth-key` option, for example: + +```shell +python3 -m deepl --auth-key=YOUR_AUTH_KEY usage +``` + +Note that the `--auth-key` argument must appear *before* the command argument. +To use the [keyring](https://pypi.org/project/keyring/) module, set the +*DEEPL_AUTH_KEY* field in the service *deepl* to your API key. +The recognized commands are: + +| Command | Description | +| :-------- | :----------------------------------------------------- | +| text | translate text(s) | +| document | translate document(s) | +| usage | print usage information for the current billing period | +| languages | print available languages | +| glossary | create, list, and remove glossaries | + +For example, to translate text: + +```shell +python3 -m deepl --auth-key=YOUR_AUTH_KEY text --to=DE "Text to be translated." +``` + +Wrap text arguments in quotes to prevent the shell from splitting sentences into +words. + +## Issues + +If you experience problems using the library, or would like to request a new +feature, please open an [issue][issues]. + +## Development + +We welcome Pull Requests, please read the +[contributing guidelines](CONTRIBUTING.md). + +### Tests + +Execute the tests using `pytest`. The tests communicate with the DeepL API using +the auth key defined by the `DEEPL_AUTH_KEY` environment variable. + +Be aware that the tests make DeepL API requests that contribute toward your API +usage. + +The test suite may instead be configured to communicate with the mock-server +provided by [deepl-mock][deepl-mock]. Although most test cases work for either, +some test cases work only with the DeepL API or the mock-server and will be +otherwise skipped. The test cases that require the mock-server trigger server +errors and test the client error-handling. To execute the tests using +deepl-mock, run it in another terminal while executing the tests. Execute the +tests using `pytest` with the `DEEPL_MOCK_SERVER_PORT` and `DEEPL_SERVER_URL` +environment variables defined referring to the mock-server. + +[api-docs]: https://www.deepl.com/docs-api?utm_source=github&utm_medium=github-python-readme + +[api-docs-csv-format]: https://www.deepl.com/docs-api/managing-glossaries/supported-glossary-formats/?utm_source=github&utm_medium=github-python-readme + +[api-docs-xml-handling]: https://www.deepl.com/docs-api/handling-xml/?utm_source=github&utm_medium=github-python-readme + +[api-docs-lang-list]: https://www.deepl.com/docs-api/translating-text/?utm_source=github&utm_medium=github-python-readme + +[api-docs-glossary-lang-list]: https://www.deepl.com/docs-api/managing-glossaries/?utm_source=github&utm_medium=github-python-readme + +[bug-report-ubuntu-2204]: https://bugs.launchpad.net/ubuntu/+source/poetry/+bug/1958227 + +[create-account]: https://www.deepl.com/pro?utm_source=github&utm_medium=github-python-readme#developer + +[deepl-mock]: https://www.github.com/DeepLcom/deepl-mock + +[issues]: https://www.github.com/DeepLcom/deepl-python/issues + +[pypi-project]: https://pypi.org/project/deepl/ + +[pro-account]: https://www.deepl.com/pro-account/?utm_source=github&utm_medium=github-python-readme + +[requests-proxy-docs]: https://docs.python-requests.org/en/latest/user/advanced/#proxies + +[requests-verify-ssl-docs]: https://docs.python-requests.org/en/latest/user/advanced/#ssl-cert-verification + + +%package -n python3-deepl +Summary: Python library for the DeepL API. +Provides: python-deepl +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-deepl +# DeepL Python Library + +[](https://pypi.org/project/deepl/) +[](https://pypi.org/project/deepl/) +[](https://github.com/DeepLcom/deepl-python/blob/main/LICENSE) + +The [DeepL API][api-docs] is a language translation API that allows other +computer programs to send texts and documents to DeepL's servers and receive +high-quality translations. This opens a whole universe of opportunities for +developers: any translation product you can imagine can now be built on top of +DeepL's best-in-class translation technology. + +The DeepL Python library offers a convenient way for applications written in +Python to interact with the DeepL API. We intend to support all API functions +with the library, though support for new features may be added to the library +after they’re added to the API. + +## Getting an authentication key + +To use the DeepL Python Library, you'll need an API authentication key. To get a +key, [please create an account here][create-account]. With a DeepL API Free +account you can translate up to 500,000 characters/month for free. + +## Installation + +The library can be installed from [PyPI][pypi-project] using pip: + +```shell +pip install --upgrade deepl +``` + +If you need to modify this source code, install the dependencies using poetry: + +```shell +poetry install +``` + +On Ubuntu 22.04 an error might occur: `ModuleNotFoundError: No module named +'cachecontrol'`. Use the workaround `sudo apt install python3-cachecontrol` as +explained in this [bug report][bug-report-ubuntu-2204]. + +### Requirements + +The library is tested with Python versions 3.6 to 3.11. + +The `requests` module is used to perform HTTP requests; the minimum is version +2.0. + +## Usage + +Import the package and construct a `Translator`. The first argument is a string +containing your API authentication key as found in your +[DeepL Pro Account][pro-account]. + +Be careful not to expose your key, for example when sharing source code. + +```python +import deepl + +auth_key = "f63c02c5-f056-..." # Replace with your key +translator = deepl.Translator(auth_key) + +result = translator.translate_text("Hello, world!", target_lang="FR") +print(result.text) # "Bonjour, le monde !" +``` + +This example is for demonstration purposes only. In production code, the +authentication key should not be hard-coded, but instead fetched from a +configuration file or environment variable. + +`Translator` accepts additional options, see [Configuration](#configuration) +for more information. + +### Translating text + +To translate text, call `translate_text()`. The first argument is a string +containing the text you want to translate, or a list of strings if you want to +translate multiple texts. + +`source_lang` and `target_lang` specify the source and target language codes +respectively. The `source_lang` is optional, if it is unspecified the source +language will be auto-detected. + +Language codes are **case-insensitive** strings according to ISO 639-1, for +example `'DE'`, `'FR'`, `'JA''`. Some target languages also include the regional +variant according to ISO 3166-1, for example `'EN-US'`, or `'PT-BR'`. The full +list of supported languages is in the +[API documentation][api-docs-lang-list]. + +There are additional optional arguments to control translation, see +[Text translation options](#text-translation-options) below. + +`translate_text()` returns a `TextResult`, or a list of `TextResult`s +corresponding to your input text(s). `TextResult` has two properties: `text` is +the translated text, and `detected_source_lang` is the detected source language +code. + +```python +# Translate text into a target language, in this case, French: +result = translator.translate_text("Hello, world!", target_lang="FR") +print(result.text) # "Bonjour, le monde !" + +# Translate multiple texts into British English +result = translator.translate_text( + ["お元気ですか？", "¿Cómo estás?"], target_lang="EN-GB" +) +print(result[0].text) # "How are you?" +print(result[0].detected_source_lang) # "JA" the language code for Japanese +print(result[1].text) # "How are you?" +print(result[1].detected_source_lang) # "ES" the language code for Spanish + +# Translate into German with less and more Formality: +print( + translator.translate_text( + "How are you?", target_lang="DE", formality="less" + ) +) # 'Wie geht es dir?' +print( + translator.translate_text( + "How are you?", target_lang="DE", formality="more" + ) +) # 'Wie geht es Ihnen?' +``` + +#### Text translation options + +In addition to the input text(s) argument, the available `translate_text()` +arguments are: + +- `source_lang`: Specifies the source language code, but may be omitted to + auto-detect the source language. +- `target_lang`: Required. Specifies the target language code. +- `split_sentences`: specify how input text should be split into sentences, + default: `'on'`. + - `'on''` (`SplitSentences.ON`): input text will be split into sentences + using both newlines and punctuation. + - `'off'` (`SplitSentences.OFF`): input text will not be split into + sentences. Use this for applications where each input text contains only + one sentence. + - `'nonewlines'` (`SplitSentences.NO_NEWLINES`): input text will be split + into sentences using punctuation but not newlines. +- `preserve_formatting`: controls automatic-formatting-correction. Set to `True` + to prevent automatic-correction of formatting, default: `False`. +- `formality`: controls whether translations should lean toward informal or + formal language. This option is only available for some target languages, see + [Listing available languages](#listing-available-languages). + - `'less'` (`Formality.LESS`): use informal language. + - `'more'` (`Formality.MORE`): use formal, more polite language. +- `glossary`: specifies a glossary to use with translation, either as a string + containing the glossary ID, or a `GlossaryInfo` as returned by + `get_glossary()`. +- `tag_handling`: type of tags to parse before translation, options are `'html'` + and `'xml'`. + +The following options are only used if `tag_handling` is `'xml'`: + +- `outline_detection`: specify `False` to disable automatic tag detection, + default is `True`. +- `splitting_tags`: list of XML tags that should be used to split text into + sentences. Tags may be specified as an array of strings (`['tag1', 'tag2']`), + or a comma-separated list of strings (`'tag1,tag2'`). The default is an empty + list. +- `non_splitting_tags`: list of XML tags that should not be used to split text + into sentences. Format and default are the same as for `splitting_tags`. +- `ignore_tags`: list of XML tags that containing content that should not be + translated. Format and default are the same as for `splitting_tags`. + +For a detailed explanation of the XML handling options, see the +[API documentation][api-docs-xml-handling]. + +### Translating documents + +To translate documents, you may call either `translate_document()` using file IO +objects, or `translate_document_from_filepath()` using file paths. For both +functions, the first and second arguments correspond to the input and output +files respectively. + +Just as for the `translate_text()` function, the `source_lang` and +`target_lang` arguments specify the source and target language codes. + +There are additional optional arguments to control translation, see +[Document translation options](#document-translation-options) below. + +```python +# Translate a formal document from English to German +input_path = "/path/to/Instruction Manual.docx" +output_path = "/path/to/Bedienungsanleitung.docx" +try: + # Using translate_document_from_filepath() with file paths + translator.translate_document_from_filepath( + input_path, + output_path, + target_lang="DE", + formality="more" + ) + + # Alternatively you can use translate_document() with file IO objects + with open(input_path, "rb") as in_file, open(output_path, "wb") as out_file: + translator.translate_document( + in_file, + out_file, + target_lang="DE", + formality="more" + ) + +except deepl.DocumentTranslationException as error: + # If an error occurs during document translation after the document was + # already uploaded, a DocumentTranslationException is raised. The + # document_handle property contains the document handle that may be used to + # later retrieve the document from the server, or contact DeepL support. + doc_id = error.document_handle.id + doc_key = error.document_handle.key + print(f"Error after uploading ${error}, id: ${doc_id} key: ${doc_key}") +except deepl.DeepLException as error: + # Errors during upload raise a DeepLException + print(error) +``` + +`translate_document()` and `translate_document_from_filepath()` are convenience +functions that wrap multiple API calls: uploading, polling status until the +translation is complete, and downloading. If your application needs to execute +these steps individually, you can instead use the following functions directly: + +- `translate_document_upload()`, +- `translate_document_get_status()` (or + `translate_document_wait_until_done()`), and +- `translate_document_download()` + +#### Document translation options + +In addition to the input file, output file, `source_lang` and `target_lang` +arguments, the available `translate_document()` and +`translate_document_from_filepath()` arguments are: + +- `formality`: same as in [Text translation options](#text-translation-options). +- `glossary`: same as in [Text translation options](#text-translation-options). + +### Glossaries + +Glossaries allow you to customize your translations using user-defined terms. +Multiple glossaries can be stored with your account, each with a user-specified +name and a uniquely-assigned ID. + +#### Creating a glossary + +You can create a glossary with your desired terms and name using +`create_glossary()`. Each glossary applies to a single source-target language +pair. Note: Glossaries are only supported for some language pairs, see +[Listing available glossary languages](#listing-available-glossary-languages) +for more information. The entries should be specified as a dictionary. + +If successful, the glossary is created and stored with your DeepL account, and +a `GlossaryInfo` object is returned including the ID, name, languages and entry +count. + +```python +# Create an English to German glossary with two terms: +entries = {"artist": "Maler", "prize": "Gewinn"} +my_glossary = translator.create_glossary( + "My glossary", + source_lang="EN", + target_lang="DE", + entries=entries, +) +print( + f"Created '{my_glossary.name}' ({my_glossary.glossary_id}) " + f"{my_glossary.source_lang}->{my_glossary.target_lang} " + f"containing {my_glossary.entry_count} entries" +) +# Example: Created 'My glossary' (559192ed-8e23-...) EN->DE containing 2 entries +``` + +You can also upload a glossary downloaded from the DeepL website using +`create_glossary_from_csv()`. Instead of supplying the entries as a dictionary, +specify the CSV data as `csv_data` either as a file-like object or string or +bytes containing file content: + +```python +# Open the CSV file assuming UTF-8 encoding. If your file contains a BOM, +# consider using encoding='utf-8-sig' instead. +with open('/path/to/glossary_file.csv', 'r', encoding='utf-8') as csv_file: + csv_data = csv_file.read() # Read the file contents as a string + my_csv_glossary = translator.create_glossary_from_csv( + "CSV glossary", + source_lang="EN", + target_lang="DE", + csv_data=csv_data, + ) +``` + +The [API documentation][api-docs-csv-format] explains the expected CSV format in +detail. + +#### Getting, listing and deleting stored glossaries + +Functions to get, list, and delete stored glossaries are also provided: + +- `get_glossary()` takes a glossary ID and returns a `GlossaryInfo` object for a + stored glossary, or raises an exception if no such glossary is found. +- `list_glossaries()` returns a list of `GlossaryInfo` objects corresponding to + all of your stored glossaries. +- `delete_glossary()` takes a glossary ID or `GlossaryInfo` object and deletes + the stored glossary from the server, or raises an exception if no such + glossary is found. + +```python +# Retrieve a stored glossary using the ID +glossary_id = "559192ed-8e23-..." +my_glossary = translator.get_glossary(glossary_id) + +# Find and delete glossaries named 'Old glossary' +glossaries = translator.list_glossaries() +for glossary in glossaries: + if glossary.name == "Old glossary": + translator.delete_glossary(glossary) +``` + +#### Listing entries in a stored glossary + +The `GlossaryInfo` object does not contain the glossary entries, but instead +only the number of entries in the `entry_count` property. + +To list the entries contained within a stored glossary, use +`get_glossary_entries()` providing either the `GlossaryInfo` object or glossary +ID: + +```python +entries = translator.get_glossary_entries(my_glossary) +print(entries) # "{'artist': 'Maler', 'prize': 'Gewinn'}" +``` + +#### Using a stored glossary + +You can use a stored glossary for text translation by setting the `glossary` +argument to either the glossary ID or `GlossaryInfo` object. You must also +specify the `source_lang` argument (it is required when using a glossary): + +```python +text = "The artist was awarded a prize." +with_glossary = translator.translate_text( + text, source_lang="EN", target_lang="DE", glossary=my_glossary, +) +print(with_glossary) # "Der Maler wurde mit einem Gewinn ausgezeichnet." + +# For comparison, the result without a glossary: +without_glossary = translator.translate_text(text, target_lang="DE") +print(without_glossary) # "Der Künstler wurde mit einem Preis ausgezeichnet." +``` + +Using a stored glossary for document translation is the same: set the `glossary` +argument and specify the `source_lang` argument: + +```python +translator.translate_document( + in_file, out_file, source_lang="EN", target_lang="DE", glossary=my_glossary, +) +``` + +The `translate_document()`, `translate_document_from_filepath()` and +`translate_document_upload()` functions all support the `glossary` argument. + +### Checking account usage + +To check account usage, use the `get_usage()` function. + +The returned `Usage` object contains three usage subtypes: `character`, +`document` and `team_document`. Depending on your account type, some usage +subtypes may be invalid; this can be checked using the `valid` property. For API +accounts: + +- `usage.character.valid` is `True`, +- `usage.document.valid` and `usage.team_document.valid` are `False`. + +Each usage subtype (if valid) has `count` and `limit` properties giving the +amount used and maximum amount respectively, and the `limit_reached` property +that checks if the usage has reached the limit. The top level `Usage` object has +the `any_limit_reached` property to check all usage subtypes. + +```python +usage = translator.get_usage() +if usage.any_limit_reached: + print('Translation limit reached.') +if usage.character.valid: + print( + f"Character usage: {usage.character.count} of {usage.character.limit}") +if usage.document.valid: + print(f"Document usage: {usage.document.count} of {usage.document.limit}") +``` + +### Listing available languages + +You can request the list of languages supported by DeepL for text and documents +using the `get_source_languages()` and `get_target_languages()` functions. They +both return a list of `Language` objects. + +The `name` property gives the name of the language in English, and the `code` +property gives the language code. The `supports_formality` property only appears +for target languages, and indicates whether the target language supports the +optional `formality` parameter. + +```python +print("Source languages:") +for language in translator.get_source_languages(): + print(f"{language.name} ({language.code})") # Example: "German (DE)" + +print("Target languages:") +for language in translator.get_target_languages(): + if language.supports_formality: + print(f"{language.name} ({language.code}) supports formality") + # Example: "Italian (IT) supports formality" + else: + print(f"{language.name} ({language.code})") + # Example: "Lithuanian (LT)" +``` + +#### Listing available glossary languages + +Glossaries are supported for a subset of language pairs. To retrieve those +languages use the `get_glossary_languages()` function, which returns an array +of `GlossaryLanguagePair` objects. Each has `source_lang` and `target_lang` +properties indicating that that pair of language codes is supported. + +```python +glossary_languages = translator.get_glossary_languages() +for language_pair in glossary_languages: + print(f"{language_pair.source_lang} to {language_pair.target_lang}") + # Example: "EN to DE", "DE to EN", etc. +``` + +You can also find the list of supported glossary language pairs in the +[API documentation][api-docs-glossary-lang-list]. + +Note that glossaries work for all target regional-variants: a glossary for the +target language English (`"EN"`) supports translations to both American English +(`"EN-US"`) and British English (`"EN-GB"`). + +### Writing a Plugin + +If you use this library in an application, please identify the application with +`deepl.Translator.set_app_info`, which needs the name and version of the app: + +```python +translator = deepl.Translator(...).set_app_info("sample_python_plugin", "1.0.2") +``` + +This information is passed along when the library makes calls to the DeepL API. +Both name and version are required. Please note that setting the `User-Agent` header +via `deepl.http_client.user_agent` will override this setting, if you need to use this, +please manually identify your Application in the `User-Agent` header. + +### Exceptions + +All module functions may raise `deepl.DeepLException` or one of its subclasses. +If invalid arguments are provided, they may raise the standard exceptions +`ValueError` and `TypeError`. + +### Configuration + +#### Logging + +Logging can be enabled to see the HTTP requests sent and responses received by +the library. Enable and control logging using Python's `logging` module, for +example: + +```python +import logging + +logging.basicConfig() +logging.getLogger('deepl').setLevel(logging.DEBUG) +``` + +#### Server URL configuration + +You can override the URL of the DeepL API by specifying the `server_url` +argument when constructing a `deepl.Translator`. This may be useful for testing +purposes. You **do not** need to specify the URL to distinguish API Free and API +Pro accounts, the library selects the correct URL automatically. + +```python +server_url = "http://user:pass@localhost:3000" +translator = deepl.Translator(..., server_url=server_url) +``` + +#### Proxy configuration + +You can configure a proxy by specifying the `proxy` argument when constructing a +`deepl.Translator`: + +```python +proxy = "http://user:pass@10.10.1.10:3128" +translator = deepl.Translator(..., proxy=proxy) +``` + +The proxy argument is passed to the underlying `requests` session, see the +[documentation for requests][requests-proxy-docs]; a dictionary of schemes to +proxy URLs is also accepted. + +#### Override SSL verification + +You can control how `requests` performs SSL verification by specifying the +`verify_ssl` option when constructing a `deepl.Translator`, for example to +disable SSL certificate verification: + +```python +translator = deepl.Translator(..., verify_ssl=False) +``` + +This option is passed to the underlying `requests` session as the `verify` +option, see the [documentation for requests][requests-verify-ssl-docs]. + +#### Anonymous platform information + +By default, we send some basic information about the platform the client library is running on with each request, see [here for an explanation](https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/User-Agent). This data is completely anonymous and only used to improve our product, not track any individual users. If you do not wish to send this data, you can opt-out when creating your `deepl.Translator` object by setting the `send_platform_info` flag like so: + +```python +translator = deepl.Translator(..., send_platform_info=False) +``` + +You can also customize the `user_agent` by setting its value explicitly before constructing your `deepl.Translator` object. + +```python +deepl.http_client.user_agent = 'my custom user agent' +translator = deepl.Translator(os.environ["DEEPL_AUTH_KEY"]) +``` + +## Command Line Interface + +The library can be run on the command line supporting all API functions. Use the +`--help` option for usage information: + +```shell +python3 -m deepl --help +``` + +The CLI requires your DeepL authentication key specified either as the +`DEEPL_AUTH_KEY` environment variable, through the `keyring` module, or +using the `--auth-key` option, for example: + +```shell +python3 -m deepl --auth-key=YOUR_AUTH_KEY usage +``` + +Note that the `--auth-key` argument must appear *before* the command argument. +To use the [keyring](https://pypi.org/project/keyring/) module, set the +*DEEPL_AUTH_KEY* field in the service *deepl* to your API key. +The recognized commands are: + +| Command | Description | +| :-------- | :----------------------------------------------------- | +| text | translate text(s) | +| document | translate document(s) | +| usage | print usage information for the current billing period | +| languages | print available languages | +| glossary | create, list, and remove glossaries | + +For example, to translate text: + +```shell +python3 -m deepl --auth-key=YOUR_AUTH_KEY text --to=DE "Text to be translated." +``` + +Wrap text arguments in quotes to prevent the shell from splitting sentences into +words. + +## Issues + +If you experience problems using the library, or would like to request a new +feature, please open an [issue][issues]. + +## Development + +We welcome Pull Requests, please read the +[contributing guidelines](CONTRIBUTING.md). + +### Tests + +Execute the tests using `pytest`. The tests communicate with the DeepL API using +the auth key defined by the `DEEPL_AUTH_KEY` environment variable. + +Be aware that the tests make DeepL API requests that contribute toward your API +usage. + +The test suite may instead be configured to communicate with the mock-server +provided by [deepl-mock][deepl-mock]. Although most test cases work for either, +some test cases work only with the DeepL API or the mock-server and will be +otherwise skipped. The test cases that require the mock-server trigger server +errors and test the client error-handling. To execute the tests using +deepl-mock, run it in another terminal while executing the tests. Execute the +tests using `pytest` with the `DEEPL_MOCK_SERVER_PORT` and `DEEPL_SERVER_URL` +environment variables defined referring to the mock-server. + +[api-docs]: https://www.deepl.com/docs-api?utm_source=github&utm_medium=github-python-readme + +[api-docs-csv-format]: https://www.deepl.com/docs-api/managing-glossaries/supported-glossary-formats/?utm_source=github&utm_medium=github-python-readme + +[api-docs-xml-handling]: https://www.deepl.com/docs-api/handling-xml/?utm_source=github&utm_medium=github-python-readme + +[api-docs-lang-list]: https://www.deepl.com/docs-api/translating-text/?utm_source=github&utm_medium=github-python-readme + +[api-docs-glossary-lang-list]: https://www.deepl.com/docs-api/managing-glossaries/?utm_source=github&utm_medium=github-python-readme + +[bug-report-ubuntu-2204]: https://bugs.launchpad.net/ubuntu/+source/poetry/+bug/1958227 + +[create-account]: https://www.deepl.com/pro?utm_source=github&utm_medium=github-python-readme#developer + +[deepl-mock]: https://www.github.com/DeepLcom/deepl-mock + +[issues]: https://www.github.com/DeepLcom/deepl-python/issues + +[pypi-project]: https://pypi.org/project/deepl/ + +[pro-account]: https://www.deepl.com/pro-account/?utm_source=github&utm_medium=github-python-readme + +[requests-proxy-docs]: https://docs.python-requests.org/en/latest/user/advanced/#proxies + +[requests-verify-ssl-docs]: https://docs.python-requests.org/en/latest/user/advanced/#ssl-cert-verification + + +%package help +Summary: Development documents and examples for deepl +Provides: python3-deepl-doc +%description help +# DeepL Python Library + +[](https://pypi.org/project/deepl/) +[](https://pypi.org/project/deepl/) +[](https://github.com/DeepLcom/deepl-python/blob/main/LICENSE) + +The [DeepL API][api-docs] is a language translation API that allows other +computer programs to send texts and documents to DeepL's servers and receive +high-quality translations. This opens a whole universe of opportunities for +developers: any translation product you can imagine can now be built on top of +DeepL's best-in-class translation technology. + +The DeepL Python library offers a convenient way for applications written in +Python to interact with the DeepL API. We intend to support all API functions +with the library, though support for new features may be added to the library +after they’re added to the API. + +## Getting an authentication key + +To use the DeepL Python Library, you'll need an API authentication key. To get a +key, [please create an account here][create-account]. With a DeepL API Free +account you can translate up to 500,000 characters/month for free. + +## Installation + +The library can be installed from [PyPI][pypi-project] using pip: + +```shell +pip install --upgrade deepl +``` + +If you need to modify this source code, install the dependencies using poetry: + +```shell +poetry install +``` + +On Ubuntu 22.04 an error might occur: `ModuleNotFoundError: No module named +'cachecontrol'`. Use the workaround `sudo apt install python3-cachecontrol` as +explained in this [bug report][bug-report-ubuntu-2204]. + +### Requirements + +The library is tested with Python versions 3.6 to 3.11. + +The `requests` module is used to perform HTTP requests; the minimum is version +2.0. + +## Usage + +Import the package and construct a `Translator`. The first argument is a string +containing your API authentication key as found in your +[DeepL Pro Account][pro-account]. + +Be careful not to expose your key, for example when sharing source code. + +```python +import deepl + +auth_key = "f63c02c5-f056-..." # Replace with your key +translator = deepl.Translator(auth_key) + +result = translator.translate_text("Hello, world!", target_lang="FR") +print(result.text) # "Bonjour, le monde !" +``` + +This example is for demonstration purposes only. In production code, the +authentication key should not be hard-coded, but instead fetched from a +configuration file or environment variable. + +`Translator` accepts additional options, see [Configuration](#configuration) +for more information. + +### Translating text + +To translate text, call `translate_text()`. The first argument is a string +containing the text you want to translate, or a list of strings if you want to +translate multiple texts. + +`source_lang` and `target_lang` specify the source and target language codes +respectively. The `source_lang` is optional, if it is unspecified the source +language will be auto-detected. + +Language codes are **case-insensitive** strings according to ISO 639-1, for +example `'DE'`, `'FR'`, `'JA''`. Some target languages also include the regional +variant according to ISO 3166-1, for example `'EN-US'`, or `'PT-BR'`. The full +list of supported languages is in the +[API documentation][api-docs-lang-list]. + +There are additional optional arguments to control translation, see +[Text translation options](#text-translation-options) below. + +`translate_text()` returns a `TextResult`, or a list of `TextResult`s +corresponding to your input text(s). `TextResult` has two properties: `text` is +the translated text, and `detected_source_lang` is the detected source language +code. + +```python +# Translate text into a target language, in this case, French: +result = translator.translate_text("Hello, world!", target_lang="FR") +print(result.text) # "Bonjour, le monde !" + +# Translate multiple texts into British English +result = translator.translate_text( + ["お元気ですか？", "¿Cómo estás?"], target_lang="EN-GB" +) +print(result[0].text) # "How are you?" +print(result[0].detected_source_lang) # "JA" the language code for Japanese +print(result[1].text) # "How are you?" +print(result[1].detected_source_lang) # "ES" the language code for Spanish + +# Translate into German with less and more Formality: +print( + translator.translate_text( + "How are you?", target_lang="DE", formality="less" + ) +) # 'Wie geht es dir?' +print( + translator.translate_text( + "How are you?", target_lang="DE", formality="more" + ) +) # 'Wie geht es Ihnen?' +``` + +#### Text translation options + +In addition to the input text(s) argument, the available `translate_text()` +arguments are: + +- `source_lang`: Specifies the source language code, but may be omitted to + auto-detect the source language. +- `target_lang`: Required. Specifies the target language code. +- `split_sentences`: specify how input text should be split into sentences, + default: `'on'`. + - `'on''` (`SplitSentences.ON`): input text will be split into sentences + using both newlines and punctuation. + - `'off'` (`SplitSentences.OFF`): input text will not be split into + sentences. Use this for applications where each input text contains only + one sentence. + - `'nonewlines'` (`SplitSentences.NO_NEWLINES`): input text will be split + into sentences using punctuation but not newlines. +- `preserve_formatting`: controls automatic-formatting-correction. Set to `True` + to prevent automatic-correction of formatting, default: `False`. +- `formality`: controls whether translations should lean toward informal or + formal language. This option is only available for some target languages, see + [Listing available languages](#listing-available-languages). + - `'less'` (`Formality.LESS`): use informal language. + - `'more'` (`Formality.MORE`): use formal, more polite language. +- `glossary`: specifies a glossary to use with translation, either as a string + containing the glossary ID, or a `GlossaryInfo` as returned by + `get_glossary()`. +- `tag_handling`: type of tags to parse before translation, options are `'html'` + and `'xml'`. + +The following options are only used if `tag_handling` is `'xml'`: + +- `outline_detection`: specify `False` to disable automatic tag detection, + default is `True`. +- `splitting_tags`: list of XML tags that should be used to split text into + sentences. Tags may be specified as an array of strings (`['tag1', 'tag2']`), + or a comma-separated list of strings (`'tag1,tag2'`). The default is an empty + list. +- `non_splitting_tags`: list of XML tags that should not be used to split text + into sentences. Format and default are the same as for `splitting_tags`. +- `ignore_tags`: list of XML tags that containing content that should not be + translated. Format and default are the same as for `splitting_tags`. + +For a detailed explanation of the XML handling options, see the +[API documentation][api-docs-xml-handling]. + +### Translating documents + +To translate documents, you may call either `translate_document()` using file IO +objects, or `translate_document_from_filepath()` using file paths. For both +functions, the first and second arguments correspond to the input and output +files respectively. + +Just as for the `translate_text()` function, the `source_lang` and +`target_lang` arguments specify the source and target language codes. + +There are additional optional arguments to control translation, see +[Document translation options](#document-translation-options) below. + +```python +# Translate a formal document from English to German +input_path = "/path/to/Instruction Manual.docx" +output_path = "/path/to/Bedienungsanleitung.docx" +try: + # Using translate_document_from_filepath() with file paths + translator.translate_document_from_filepath( + input_path, + output_path, + target_lang="DE", + formality="more" + ) + + # Alternatively you can use translate_document() with file IO objects + with open(input_path, "rb") as in_file, open(output_path, "wb") as out_file: + translator.translate_document( + in_file, + out_file, + target_lang="DE", + formality="more" + ) + +except deepl.DocumentTranslationException as error: + # If an error occurs during document translation after the document was + # already uploaded, a DocumentTranslationException is raised. The + # document_handle property contains the document handle that may be used to + # later retrieve the document from the server, or contact DeepL support. + doc_id = error.document_handle.id + doc_key = error.document_handle.key + print(f"Error after uploading ${error}, id: ${doc_id} key: ${doc_key}") +except deepl.DeepLException as error: + # Errors during upload raise a DeepLException + print(error) +``` + +`translate_document()` and `translate_document_from_filepath()` are convenience +functions that wrap multiple API calls: uploading, polling status until the +translation is complete, and downloading. If your application needs to execute +these steps individually, you can instead use the following functions directly: + +- `translate_document_upload()`, +- `translate_document_get_status()` (or + `translate_document_wait_until_done()`), and +- `translate_document_download()` + +#### Document translation options + +In addition to the input file, output file, `source_lang` and `target_lang` +arguments, the available `translate_document()` and +`translate_document_from_filepath()` arguments are: + +- `formality`: same as in [Text translation options](#text-translation-options). +- `glossary`: same as in [Text translation options](#text-translation-options). + +### Glossaries + +Glossaries allow you to customize your translations using user-defined terms. +Multiple glossaries can be stored with your account, each with a user-specified +name and a uniquely-assigned ID. + +#### Creating a glossary + +You can create a glossary with your desired terms and name using +`create_glossary()`. Each glossary applies to a single source-target language +pair. Note: Glossaries are only supported for some language pairs, see +[Listing available glossary languages](#listing-available-glossary-languages) +for more information. The entries should be specified as a dictionary. + +If successful, the glossary is created and stored with your DeepL account, and +a `GlossaryInfo` object is returned including the ID, name, languages and entry +count. + +```python +# Create an English to German glossary with two terms: +entries = {"artist": "Maler", "prize": "Gewinn"} +my_glossary = translator.create_glossary( + "My glossary", + source_lang="EN", + target_lang="DE", + entries=entries, +) +print( + f"Created '{my_glossary.name}' ({my_glossary.glossary_id}) " + f"{my_glossary.source_lang}->{my_glossary.target_lang} " + f"containing {my_glossary.entry_count} entries" +) +# Example: Created 'My glossary' (559192ed-8e23-...) EN->DE containing 2 entries +``` + +You can also upload a glossary downloaded from the DeepL website using +`create_glossary_from_csv()`. Instead of supplying the entries as a dictionary, +specify the CSV data as `csv_data` either as a file-like object or string or +bytes containing file content: + +```python +# Open the CSV file assuming UTF-8 encoding. If your file contains a BOM, +# consider using encoding='utf-8-sig' instead. +with open('/path/to/glossary_file.csv', 'r', encoding='utf-8') as csv_file: + csv_data = csv_file.read() # Read the file contents as a string + my_csv_glossary = translator.create_glossary_from_csv( + "CSV glossary", + source_lang="EN", + target_lang="DE", + csv_data=csv_data, + ) +``` + +The [API documentation][api-docs-csv-format] explains the expected CSV format in +detail. + +#### Getting, listing and deleting stored glossaries + +Functions to get, list, and delete stored glossaries are also provided: + +- `get_glossary()` takes a glossary ID and returns a `GlossaryInfo` object for a + stored glossary, or raises an exception if no such glossary is found. +- `list_glossaries()` returns a list of `GlossaryInfo` objects corresponding to + all of your stored glossaries. +- `delete_glossary()` takes a glossary ID or `GlossaryInfo` object and deletes + the stored glossary from the server, or raises an exception if no such + glossary is found. + +```python +# Retrieve a stored glossary using the ID +glossary_id = "559192ed-8e23-..." +my_glossary = translator.get_glossary(glossary_id) + +# Find and delete glossaries named 'Old glossary' +glossaries = translator.list_glossaries() +for glossary in glossaries: + if glossary.name == "Old glossary": + translator.delete_glossary(glossary) +``` + +#### Listing entries in a stored glossary + +The `GlossaryInfo` object does not contain the glossary entries, but instead +only the number of entries in the `entry_count` property. + +To list the entries contained within a stored glossary, use +`get_glossary_entries()` providing either the `GlossaryInfo` object or glossary +ID: + +```python +entries = translator.get_glossary_entries(my_glossary) +print(entries) # "{'artist': 'Maler', 'prize': 'Gewinn'}" +``` + +#### Using a stored glossary + +You can use a stored glossary for text translation by setting the `glossary` +argument to either the glossary ID or `GlossaryInfo` object. You must also +specify the `source_lang` argument (it is required when using a glossary): + +```python +text = "The artist was awarded a prize." +with_glossary = translator.translate_text( + text, source_lang="EN", target_lang="DE", glossary=my_glossary, +) +print(with_glossary) # "Der Maler wurde mit einem Gewinn ausgezeichnet." + +# For comparison, the result without a glossary: +without_glossary = translator.translate_text(text, target_lang="DE") +print(without_glossary) # "Der Künstler wurde mit einem Preis ausgezeichnet." +``` + +Using a stored glossary for document translation is the same: set the `glossary` +argument and specify the `source_lang` argument: + +```python +translator.translate_document( + in_file, out_file, source_lang="EN", target_lang="DE", glossary=my_glossary, +) +``` + +The `translate_document()`, `translate_document_from_filepath()` and +`translate_document_upload()` functions all support the `glossary` argument. + +### Checking account usage + +To check account usage, use the `get_usage()` function. + +The returned `Usage` object contains three usage subtypes: `character`, +`document` and `team_document`. Depending on your account type, some usage +subtypes may be invalid; this can be checked using the `valid` property. For API +accounts: + +- `usage.character.valid` is `True`, +- `usage.document.valid` and `usage.team_document.valid` are `False`. + +Each usage subtype (if valid) has `count` and `limit` properties giving the +amount used and maximum amount respectively, and the `limit_reached` property +that checks if the usage has reached the limit. The top level `Usage` object has +the `any_limit_reached` property to check all usage subtypes. + +```python +usage = translator.get_usage() +if usage.any_limit_reached: + print('Translation limit reached.') +if usage.character.valid: + print( + f"Character usage: {usage.character.count} of {usage.character.limit}") +if usage.document.valid: + print(f"Document usage: {usage.document.count} of {usage.document.limit}") +``` + +### Listing available languages + +You can request the list of languages supported by DeepL for text and documents +using the `get_source_languages()` and `get_target_languages()` functions. They +both return a list of `Language` objects. + +The `name` property gives the name of the language in English, and the `code` +property gives the language code. The `supports_formality` property only appears +for target languages, and indicates whether the target language supports the +optional `formality` parameter. + +```python +print("Source languages:") +for language in translator.get_source_languages(): + print(f"{language.name} ({language.code})") # Example: "German (DE)" + +print("Target languages:") +for language in translator.get_target_languages(): + if language.supports_formality: + print(f"{language.name} ({language.code}) supports formality") + # Example: "Italian (IT) supports formality" + else: + print(f"{language.name} ({language.code})") + # Example: "Lithuanian (LT)" +``` + +#### Listing available glossary languages + +Glossaries are supported for a subset of language pairs. To retrieve those +languages use the `get_glossary_languages()` function, which returns an array +of `GlossaryLanguagePair` objects. Each has `source_lang` and `target_lang` +properties indicating that that pair of language codes is supported. + +```python +glossary_languages = translator.get_glossary_languages() +for language_pair in glossary_languages: + print(f"{language_pair.source_lang} to {language_pair.target_lang}") + # Example: "EN to DE", "DE to EN", etc. +``` + +You can also find the list of supported glossary language pairs in the +[API documentation][api-docs-glossary-lang-list]. + +Note that glossaries work for all target regional-variants: a glossary for the +target language English (`"EN"`) supports translations to both American English +(`"EN-US"`) and British English (`"EN-GB"`). + +### Writing a Plugin + +If you use this library in an application, please identify the application with +`deepl.Translator.set_app_info`, which needs the name and version of the app: + +```python +translator = deepl.Translator(...).set_app_info("sample_python_plugin", "1.0.2") +``` + +This information is passed along when the library makes calls to the DeepL API. +Both name and version are required. Please note that setting the `User-Agent` header +via `deepl.http_client.user_agent` will override this setting, if you need to use this, +please manually identify your Application in the `User-Agent` header. + +### Exceptions + +All module functions may raise `deepl.DeepLException` or one of its subclasses. +If invalid arguments are provided, they may raise the standard exceptions +`ValueError` and `TypeError`. + +### Configuration + +#### Logging + +Logging can be enabled to see the HTTP requests sent and responses received by +the library. Enable and control logging using Python's `logging` module, for +example: + +```python +import logging + +logging.basicConfig() +logging.getLogger('deepl').setLevel(logging.DEBUG) +``` + +#### Server URL configuration + +You can override the URL of the DeepL API by specifying the `server_url` +argument when constructing a `deepl.Translator`. This may be useful for testing +purposes. You **do not** need to specify the URL to distinguish API Free and API +Pro accounts, the library selects the correct URL automatically. + +```python +server_url = "http://user:pass@localhost:3000" +translator = deepl.Translator(..., server_url=server_url) +``` + +#### Proxy configuration + +You can configure a proxy by specifying the `proxy` argument when constructing a +`deepl.Translator`: + +```python +proxy = "http://user:pass@10.10.1.10:3128" +translator = deepl.Translator(..., proxy=proxy) +``` + +The proxy argument is passed to the underlying `requests` session, see the +[documentation for requests][requests-proxy-docs]; a dictionary of schemes to +proxy URLs is also accepted. + +#### Override SSL verification + +You can control how `requests` performs SSL verification by specifying the +`verify_ssl` option when constructing a `deepl.Translator`, for example to +disable SSL certificate verification: + +```python +translator = deepl.Translator(..., verify_ssl=False) +``` + +This option is passed to the underlying `requests` session as the `verify` +option, see the [documentation for requests][requests-verify-ssl-docs]. + +#### Anonymous platform information + +By default, we send some basic information about the platform the client library is running on with each request, see [here for an explanation](https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/User-Agent). This data is completely anonymous and only used to improve our product, not track any individual users. If you do not wish to send this data, you can opt-out when creating your `deepl.Translator` object by setting the `send_platform_info` flag like so: + +```python +translator = deepl.Translator(..., send_platform_info=False) +``` + +You can also customize the `user_agent` by setting its value explicitly before constructing your `deepl.Translator` object. + +```python +deepl.http_client.user_agent = 'my custom user agent' +translator = deepl.Translator(os.environ["DEEPL_AUTH_KEY"]) +``` + +## Command Line Interface + +The library can be run on the command line supporting all API functions. Use the +`--help` option for usage information: + +```shell +python3 -m deepl --help +``` + +The CLI requires your DeepL authentication key specified either as the +`DEEPL_AUTH_KEY` environment variable, through the `keyring` module, or +using the `--auth-key` option, for example: + +```shell +python3 -m deepl --auth-key=YOUR_AUTH_KEY usage +``` + +Note that the `--auth-key` argument must appear *before* the command argument. +To use the [keyring](https://pypi.org/project/keyring/) module, set the +*DEEPL_AUTH_KEY* field in the service *deepl* to your API key. +The recognized commands are: + +| Command | Description | +| :-------- | :----------------------------------------------------- | +| text | translate text(s) | +| document | translate document(s) | +| usage | print usage information for the current billing period | +| languages | print available languages | +| glossary | create, list, and remove glossaries | + +For example, to translate text: + +```shell +python3 -m deepl --auth-key=YOUR_AUTH_KEY text --to=DE "Text to be translated." +``` + +Wrap text arguments in quotes to prevent the shell from splitting sentences into +words. + +## Issues + +If you experience problems using the library, or would like to request a new +feature, please open an [issue][issues]. + +## Development + +We welcome Pull Requests, please read the +[contributing guidelines](CONTRIBUTING.md). + +### Tests + +Execute the tests using `pytest`. The tests communicate with the DeepL API using +the auth key defined by the `DEEPL_AUTH_KEY` environment variable. + +Be aware that the tests make DeepL API requests that contribute toward your API +usage. + +The test suite may instead be configured to communicate with the mock-server +provided by [deepl-mock][deepl-mock]. Although most test cases work for either, +some test cases work only with the DeepL API or the mock-server and will be +otherwise skipped. The test cases that require the mock-server trigger server +errors and test the client error-handling. To execute the tests using +deepl-mock, run it in another terminal while executing the tests. Execute the +tests using `pytest` with the `DEEPL_MOCK_SERVER_PORT` and `DEEPL_SERVER_URL` +environment variables defined referring to the mock-server. + +[api-docs]: https://www.deepl.com/docs-api?utm_source=github&utm_medium=github-python-readme + +[api-docs-csv-format]: https://www.deepl.com/docs-api/managing-glossaries/supported-glossary-formats/?utm_source=github&utm_medium=github-python-readme + +[api-docs-xml-handling]: https://www.deepl.com/docs-api/handling-xml/?utm_source=github&utm_medium=github-python-readme + +[api-docs-lang-list]: https://www.deepl.com/docs-api/translating-text/?utm_source=github&utm_medium=github-python-readme + +[api-docs-glossary-lang-list]: https://www.deepl.com/docs-api/managing-glossaries/?utm_source=github&utm_medium=github-python-readme + +[bug-report-ubuntu-2204]: https://bugs.launchpad.net/ubuntu/+source/poetry/+bug/1958227 + +[create-account]: https://www.deepl.com/pro?utm_source=github&utm_medium=github-python-readme#developer + +[deepl-mock]: https://www.github.com/DeepLcom/deepl-mock + +[issues]: https://www.github.com/DeepLcom/deepl-python/issues + +[pypi-project]: https://pypi.org/project/deepl/ + +[pro-account]: https://www.deepl.com/pro-account/?utm_source=github&utm_medium=github-python-readme + +[requests-proxy-docs]: https://docs.python-requests.org/en/latest/user/advanced/#proxies + +[requests-verify-ssl-docs]: https://docs.python-requests.org/en/latest/user/advanced/#ssl-cert-verification + + +%prep +%autosetup -n deepl-1.14.0 + +%build +%py3_build + +%install +%py3_install +install -d -m755 %{buildroot}/%{_pkgdocdir} +if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi +if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi +if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi +if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi +pushd %{buildroot} +if [ -d usr/lib ]; then + find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/lib64 ]; then + find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/bin ]; then + find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/sbin ]; then + find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst +fi +touch doclist.lst +if [ -d usr/share/man ]; then + find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst +fi +popd +mv %{buildroot}/filelist.lst . +mv %{buildroot}/doclist.lst . + +%files -n python3-deepl -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 1.14.0-1 +- Package Spec generated @@ -0,0 +1 @@ +8d834ac2e5a37123f5de99fa2dd834ca deepl-1.14.0.tar.gz |