nostrdvm/nostr_dvm/tasks/translation_google.py

154 lines
6.7 KiB
Python

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)