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179 lines
8.2 KiB
Python
179 lines
8.2 KiB
Python
# We are continuing with the example, but here we will focus on the DVMconfig.
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# The DVM config allows us to custimize many things our DVM is doing, and we will focus on some
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# of the main aspects here. Out side of the comments we keep the code form the last tutorial.
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import asyncio
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import json
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import os
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from pathlib import Path
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import dotenv
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from nostr_dvm.framework import DVMFramework
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from nostr_dvm.tasks.generic_dvm import GenericDVM
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from nostr_sdk import Kind, Keys
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from nostr_dvm.utils.admin_utils import AdminConfig
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from nostr_dvm.utils.dvmconfig import build_default_config, DVMConfig
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from nostr_dvm.utils.nip89_utils import NIP89Config, check_and_set_d_tag
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from nostr_dvm.utils.outbox_utils import AVOID_OUTBOX_RELAY_LIST
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from nostr_dvm.utils.zap_utils import change_ln_address
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# We keep the main code structure almost the same as in tutorial02 and 05.
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def run_dvm(identifier, announce):
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# Initialize the framework
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framework = DVMFramework()
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# Remember, with build_default_config(identifier) the framework will either create or load certain information
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# such as private nostr keys, wallet information, and d tags.
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dvm_config = build_default_config(identifier)
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# Specific to the generic_dvm we are using, we set the Kind in the config so the DVM knows
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# to which event kinds it should react too. Other DVMs have their kind defined, see the task folder for many examples
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kind = Kind(5050)
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dvm_config.KIND = kind
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# OK now let's look for some more things we can configure
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# USE_OWN_VENV: Default = False. If we set USE_OWN_VENV to True, the DVM will create an own python
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# virtual environment where it will install dependencies
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# For example see tasks/imagegeneration_openai_dalle.py where the dvm framework and an openai library are
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# installed in a seperate venv, so dependencies don't get messes up with the main environment.
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# If you don't have specific dependencies, you can just leave it on false.
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dvm_config.USE_OWN_VENV = False
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# If we don't want to offer our services for free we can define a fix cost and a per unit cost.
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# The FIX_COST will be a fixed amount the DVM is asking for its services
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# THE PER_UNIT_COST will ask for a dynamic amound based on the lenght of the text, audio/video file etc.
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# Both costs will be added up and requested for the user.
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# Only if the invoice gets paid (or if you dont use lnbits, the event gets zapped via your lightning address,
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# the processing will start. The amount is in Sats/Satoshis.
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dvm_config.FIX_COST = 0
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dvm_config.PER_UNIT_COST = 0
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# You can overwrite the default relay list (see utils/dvmconfig.py) with relays of your choice
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dvm_config.RELAY_LIST = ["wss://relay.damus.io", "wss://nostr.oxtr.dev"]
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# Some DVMs, especially content based ones or filter ones used NENGENTROPY reconciliation.
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# This basically means it syncronizes local databases with relays. Not all relays support that,
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# but if they do, you can select which ones should be used to sync to your local database.
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# This example doesn't use reconciliation, but you might want to take a look at tasks/content_discovery_currently.popular.py for example.
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dvm_config.SYNC_DB_RELAY_LIST = ["wss://relay.damus.io", "wss://nostr.oxtr.dev",
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"wss://relay.nostr.net", "wss://relay.primal.net"]
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# related to that dvm_config.UPDATE_DATABASE can be used to signal if the dvm should update it's own database at all.
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# For example you might want to use a DVM that schedule updating a database and some others that only read from that database,
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# without the need of doing the step by themselves. For those you can set UPDATE_DATABASE to False
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dvm_config.UPDATE_DATABASE = False
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# in a similar manner, you can set how often the schedule task (e.g. for updating databases) should be called.
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# The scheduler is optional and not all DVMs will use it, but if they do, you can tell how often they should.
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dvm_config.SCHEDULE_UPDATES_SECONDS = 600
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# You can overwrite the default processing message the user gets when the DVM starts a task.
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# This can either be string or a list of strings where the DVM randomly picks one message
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dvm_config.CUSTOM_PROCESSING_MESSAGE = ["Doing the work", "Processing.."]
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# You can also decide if the DVM should send any of these processing messages at all.
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# For example for an LLM you might want to send directly a reply instead of telling each time that you are processing.
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dvm_config.SEND_FEEDBACK_EVENTS = True
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# You can also provide a list of relays the DVM shouldn't even try to answer to, should users have these in their inbox relays.
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# The reason is, some relays might be paid, or use auth, and we might not able to write there, so we just avoid doing it.
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# In utils/output_utils.py is a list of relays that won't work, but there might be others, or you might want to define your own list,
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# so you can overwrite it here. Otherwise, defaults will be used.
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dvm_config.AVOID_OUTBOX_RELAY_LIST = AVOID_OUTBOX_RELAY_LIST
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# Finally some DVMs might support Web of Trust filtering.
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# You find an example in tasks/content_discovery_update_db_only.py
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# This DVM only updates a Database that other DVMS might use.
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# By applying WOT filtering, it won't even download events outside of the WOT
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# So set WOT Filtering to True in order to use it.
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dvm_config.WOT_FILTERING = False
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# add a list of NPUBs that should be used to build the graph. It can be you and/or some trustworthy people.
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dvm_config.WOT_BASED_ON_NPUBS = ["99bb5591c9116600f845107d31f9b59e2f7c7e09a1ff802e84f1d43da557ca64",
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"460c25e682fda7832b52d1f22d3d22b3176d972f60dcdc3212ed8c92ef85065c",
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"3f770d65d3a764a9c5cb503ae123e62ec7598ad035d836e2a810f3877a745b24"
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]
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# define the depth of the wot graph to follow. Note that a depth or 3 or higher will take much longer, so 2 seems to be a good default value.
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dvm_config.WOT_DEPTH = 2
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# The rest of the code is as previously
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options = {
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"some_option": "#RunDVM",
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}
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name = "My very first DVM"
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admin_config = AdminConfig()
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admin_config.REBROADCAST_NIP89 = announce
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admin_config.REBROADCAST_NIP65_RELAY_LIST = announce
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admin_config.UPDATE_PROFILE = announce
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nip89info = {
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"name": name,
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"picture": "https://image.nostr.build/28da676a19841dcfa7dcf7124be6816842d14b84f6046462d2a3f1268fe58d03.png",
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"about": "I'm a very simply DVM that always responds with the same message.",
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"supportsEncryption": True,
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"nip90Params": {
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"some_option": {
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"required": False,
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"values": []
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}
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}
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}
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# We now create or Nip89Config object
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nip89config = NIP89Config()
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nip89config.KIND = kind
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nip89config.DTAG = check_and_set_d_tag(identifier, name, dvm_config.PRIVATE_KEY, nip89info["picture"])
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nip89config.CONTENT = json.dumps(nip89info)
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dvm = GenericDVM(name=name, dvm_config=dvm_config, options=options,
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nip89config=nip89config, admin_config=admin_config)
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async def process(request_form):
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options = dvm.set_options(request_form)
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result = "The result of the DVM is: "
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result += options["some_option"]
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print(result)
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return result
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dvm.process = process
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framework.add(dvm)
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framework.run()
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if __name__ == '__main__':
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#We open the .env file we created before.
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env_path = Path('.env')
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if not env_path.is_file():
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with open('.env', 'w') as f:
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print("Writing new .env file")
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f.write('')
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if env_path.is_file():
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print(f'loading environment from {env_path.resolve()}')
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dotenv.load_dotenv(env_path, verbose=True, override=True)
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else:
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raise FileNotFoundError(f'.env file not found at {env_path} ')
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#A unique identifier that will be used to store keys in your .env file as well as for your ln address.
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# (If its already used it will get some random letters to it)
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identifier = "tutorial01"
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announce = False
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# psst, you can change your lightning address here:
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#asyncio.run(change_ln_address(identifier, "test", DVMConfig(), True))
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run_dvm(identifier, announce)
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