import json import os from nostr_sdk import Kind from nostr_dvm.interfaces.dvmtaskinterface import DVMTaskInterface, process_venv from nostr_dvm.utils.admin_utils import AdminConfig from nostr_dvm.utils.definitions import EventDefinitions from nostr_dvm.utils.dvmconfig import DVMConfig, build_default_config from nostr_dvm.utils.nip88_utils import NIP88Config from nostr_dvm.utils.nip89_utils import NIP89Config, check_and_set_d_tag from nostr_dvm.utils.nostr_utils import get_referenced_event_by_id, get_event_by_id """ This File contains a Module to call Google Translate Services on the DVM Machine Accepted Inputs: Text, Events, Jobs (Text Extraction, Summary, Translation) Outputs: Text containing the TranslationGoogle in the desired language. Params: -language The target language """ class TranslationGoogle(DVMTaskInterface): KIND: Kind = EventDefinitions.KIND_NIP90_TRANSLATE_TEXT TASK: str = "translation" FIX_COST: float = 0 dependencies = [("nostr-dvm", "nostr-dvm"), ("translatepy", "translatepy==2.3")] async def init_dvm(self, name, dvm_config: DVMConfig, nip89config: NIP89Config, nip88config: NIP88Config = None, admin_config: AdminConfig = None, options=None): dvm_config.SCRIPT = os.path.abspath(__file__) async def is_input_supported(self, tags, client=None, dvm_config=None): for tag in tags: if tag.as_vec()[0] == 'i': input_value = tag.as_vec()[1] input_type = tag.as_vec()[2] if input_type != "event" and input_type != "job" and input_type != "text": return False if input_type != "text" and len(input_value) > 4999: return False return True async def create_request_from_nostr_event(self, event, client=None, dvm_config=None): request_form = {"jobID": event.id().to_hex()} text = "" translation_lang = "en" for tag in event.tags().to_vec(): if tag.as_vec()[0] == 'i': input_type = tag.as_vec()[2] if input_type == "event": evt = await get_event_by_id(tag.as_vec()[1], client=client, config=dvm_config) text = evt.content() elif input_type == "text": text = tag.as_vec()[1] elif input_type == "job": evt = await get_referenced_event_by_id(event_id=tag.as_vec()[1], client=client, kinds=[EventDefinitions.KIND_NIP90_RESULT_EXTRACT_TEXT, EventDefinitions.KIND_NIP90_RESULT_SUMMARIZE_TEXT, EventDefinitions.KIND_NIP90_RESULT_TRANSLATE_TEXT], dvm_config=dvm_config) text = evt.content() elif tag.as_vec()[0] == 'param': param = tag.as_vec()[1] if param == "language": # check for param type translation_lang = str(tag.as_vec()[2]).split('-')[0] options = { "text": text, "language": translation_lang } request_form['options'] = json.dumps(options) return request_form async def process(self, request_form): from translatepy.translators.google import GoogleTranslate options = self.set_options(request_form) gtranslate = GoogleTranslate() length = len(options["text"]) step = 0 translated_text = "" if length > 4999: while step + 5000 < length: text_part = options["text"][step:step + 5000] step = step + 5000 try: translated_text_part = str(gtranslate.translate(text_part, options["language"])) print("Translated Text part:\n\n " + translated_text_part) except Exception as e: raise Exception(e) translated_text = translated_text + translated_text_part if step < length: text_part = options["text"][step:length] try: translated_text_part = str(gtranslate.translate(text_part, options["language"])) print("Translated Text part:\n " + translated_text_part) except Exception as e: raise Exception(e) translated_text = translated_text + translated_text_part return translated_text # We build an example here that we can call by either calling this file directly from the main directory, # or by adding it to our playground. You can call the example and adjust it to your needs or redefine it in the # playground or elsewhere def build_example(name, identifier, admin_config): dvm_config = build_default_config(identifier) admin_config.LUD16 = dvm_config.LN_ADDRESS nip89info = { "name": name, "picture": "https://image.nostr.build/c33ca6fc4cc038ca4adb46fdfdfda34951656f87ee364ef59095bae1495ce669.jpg", "about": "I translate text from given text/event/job. Currently using Google TranslationGoogle Services to translate " "input into the language defined in params.", "supportsEncryption": True, "acceptsNutZaps": False, "nip90Params": { "language": { "required": False, "values": ["en", "az", "be", "bg", "bn", "bs", "ca", "ceb", "co", "cs", "cy", "da", "de", "el", "eo", "es", "et", "eu", "fa", "fi", "fr", "fy", "ga", "gd", "gl", "gu", "ha", "haw", "hi", "hmn", "hr", "ht", "hu", "hy", "id", "ig", "is", "it", "he", "ja", "jv", "ka", "kk", "km", "kn", "ko", "ku", "ky", "la", "lb", "lo", "lt", "lv", "mg", "mi", "mk", "ml", "mn", "mr", "ms", "mt", "my", "ne", "nl", "no", "ny", "or", "pa", "pl", "ps", "pt", "ro", "ru", "sd", "si", "sk", "sl", "sm", "sn", "so", "sq", "sr", "st", "su", "sv", "sw", "ta", "te", "tg", "th", "tl", "tr", "ug", "uk", "ur", "uz", "vi", "xh", "yi", "yo", "zh", "zu"] } } } nip89config = NIP89Config() nip89config.DTAG = check_and_set_d_tag(identifier, name, dvm_config.PRIVATE_KEY, nip89info["picture"]) nip89config.CONTENT = json.dumps(nip89info) return TranslationGoogle(name=name, dvm_config=dvm_config, nip89config=nip89config, admin_config=admin_config) if __name__ == '__main__': process_venv(TranslationGoogle)