add new summarization dvm, be more generous with generic dvms

nostr_dvm/tasks/summarization_duckduck_ai.py

@@ -0,0 +1,141 @@
+import json
+import os
+import re
+
+from nostr_sdk import Tag, 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_events_by_ids, get_event_by_id
+
+"""
+This File contains a Module to generate Text, based on a prompt using the Unleashed.chat API.
+
+Accepted Inputs: Prompt (text)
+Outputs: Generated text
+"""
+
+
+class SummarizationDuckDuck(DVMTaskInterface):
+    KIND: Kind = EventDefinitions.KIND_NIP90_SUMMARIZE_TEXT
+    TASK: str = "text-to-text"
+    FIX_COST: float = 10
+    dependencies = [("nostr-dvm", "nostr-dvm"),
+                    ("duck_chat", "-U https://github.com/mrgick/duckduckgo-chat-ai/archive/master.zip")]
+
+    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':
+                print(tag.as_vec())
+                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
+
+        return True
+
+    async def create_request_from_nostr_event(self, event, client=None, dvm_config=None):
+        request_form = {"jobID": event.id().to_hex() + "_" + self.NAME.replace(" ", "")}
+        prompt = ""
+        collect_events = []
+        nostr_mode = True
+
+        for tag in event.tags():
+            if tag.as_vec()[0] == 'i':
+                input_type = tag.as_vec()[2]
+                if input_type == "text":
+                    prompt += tag.as_vec()[1] + "\n"
+                elif input_type == "event":
+                    collect_events.append(tag.as_vec()[1])
+                    # evt = get_event_by_id(tag.as_vec()[1], client=client, config=dvm_config)
+                    # prompt += evt.content() + "\n"
+                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,
+                                                            EventDefinitions.KIND_NIP90_RESULT_CONTENT_DISCOVERY],
+                                                     dvm_config=dvm_config)
+                    if evt is None:
+                        print("Event not found")
+                        raise Exception
+
+                    if evt.kind() == EventDefinitions.KIND_NIP90_RESULT_CONTENT_DISCOVERY:
+                        result_list = json.loads(evt.content())
+                        prompt = ""
+                        for tag in result_list:
+                            e_tag = Tag.parse(tag)
+                            evt = await get_event_by_id(e_tag.as_vec()[1], client=client, config=dvm_config)
+                            prompt += evt.content() + "\n"
+
+                    else:
+                        prompt = evt.content()
+
+        evts = await get_events_by_ids(collect_events, client=client, config=dvm_config)
+        if evts is not None:
+            for evt in evts:
+                prompt += evt.content() + "\n"
+
+        clean_prompt = re.sub(r'^https?:\/\/.*[\r\n]*', '', prompt, flags=re.MULTILINE)
+        options = {
+            "input": clean_prompt[:4000],
+            "nostr": nostr_mode,
+        }
+        request_form['options'] = json.dumps(options)
+
+        return request_form
+
+    async def process(self, request_form):
+        from duck_chat import DuckChat
+        from duck_chat import ModelType
+
+        options = self.set_options(request_form)
+        try:
+            async with DuckChat(model=ModelType.GPT4o) as chat:
+                query = "Summarize the following notes by different authors: " + options["input"]
+                result = await chat.ask_question(query)
+                print(result)
+                return result
+
+        except Exception as e:
+            print("Error in Module: " + str(e))
+            raise Exception(e)
+
+
+
+# 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)
+    dvm_config.SEND_FEEDBACK_EVENTS = True
+    admin_config.LUD16 = dvm_config.LN_ADDRESS
+
+    nip89info = {
+        "name": name,
+        "image": "https://image.nostr.build/28da676a19841dcfa7dcf7124be6816842d14b84f6046462d2a3f1268fe58d03.png",
+        "about": "I summarize Text",
+        "encryptionSupported": True,
+        "cashuAccepted": True,
+        "nip90Params": {}
+    }
+
+    nip89config = NIP89Config()
+    nip89config.DTAG = check_and_set_d_tag(identifier, name, dvm_config.PRIVATE_KEY, nip89info["image"])
+    nip89config.CONTENT = json.dumps(nip89info)
+    admin_config2 = AdminConfig()
+    admin_config2.REBROADCAST_NIP89 = False
+
+    return SummarizationDuckDuck(name=name, dvm_config=dvm_config, nip89config=nip89config,
+                                      admin_config=admin_config2)
+
+
+if __name__ == '__main__':
+    process_venv(SummarizationDuckDuck)