mirror of
https://github.com/believethehype/nostrdvm.git
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366 lines
15 KiB
Python
366 lines
15 KiB
Python
import json
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import json
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import os
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from datetime import timedelta
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from nostr_sdk import Timestamp, PublicKey, Tag, Keys, Options, SecretKey, NostrSigner, NostrDatabase, \
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ClientBuilder, Filter, SyncOptions, SyncDirection, init_logger, LogLevel, Kind, \
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RelayLimits
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from nostr_dvm.interfaces.dvmtaskinterface import DVMTaskInterface, process_venv
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from nostr_dvm.utils import definitions
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from nostr_dvm.utils.admin_utils import AdminConfig
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from nostr_dvm.utils.definitions import EventDefinitions, relay_timeout
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from nostr_dvm.utils.dvmconfig import DVMConfig, build_default_config
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from nostr_dvm.utils.nip88_utils import NIP88Config, check_and_set_d_tag_nip88, check_and_set_tiereventid_nip88
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from nostr_dvm.utils.nip89_utils import NIP89Config, check_and_set_d_tag, create_amount_tag
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from nostr_dvm.utils.output_utils import post_process_list_to_events
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"""
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This File contains a Module to discover popular notes by topics
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Accepted Inputs: none
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Outputs: A list of events
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Params: None
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"""
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class DicoverContentCurrentlyPopularNonFollowers(DVMTaskInterface):
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KIND: Kind = EventDefinitions.KIND_NIP90_CONTENT_DISCOVERY
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TASK: str = "discover-content"
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FIX_COST: float = 0
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dvm_config: DVMConfig
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request_form = None
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last_schedule: int
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min_reactions = 2
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db_since = 10 * 3600
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db_name = "db/nostr_default_recent_notes.db"
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search_list = []
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avoid_list = []
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must_list = []
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personalized = True
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result = ""
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database = None
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async def init_dvm(self, name, dvm_config: DVMConfig, nip89config: NIP89Config, nip88config: NIP88Config = None,
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admin_config: AdminConfig = None, options=None):
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if dvm_config.DATABASE is not None:
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self.database = dvm_config.DATABASE
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self.request_form = {"jobID": "generic"}
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opts = {
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"max_results": 200,
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}
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self.request_form['options'] = json.dumps(opts)
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dvm_config.SCRIPT = os.path.abspath(__file__)
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if self.options.get("personalized"):
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self.personalized = bool(self.options.get("personalized"))
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self.last_schedule = Timestamp.now().as_secs()
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if self.options.get("search_list"):
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self.search_list = self.options.get("search_list")
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# print(self.search_list)
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if self.options.get("avoid_list"):
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self.avoid_list = self.options.get("avoid_list")
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if self.options.get("must_list"):
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self.must_list = self.options.get("must_list")
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if self.options.get("db_name"):
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self.db_name = self.options.get("db_name")
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if self.options.get("db_since"):
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self.db_since = int(self.options.get("db_since"))
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use_logger = False
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if use_logger:
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init_logger(LogLevel.DEBUG)
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if self.dvm_config.UPDATE_DATABASE:
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await self.sync_db()
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if not self.personalized:
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self.result = await self.calculate_result(self.request_form)
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async def is_input_supported(self, tags, client=None, dvm_config=None):
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for tag in tags:
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if tag.as_vec()[0] == 'i':
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input_value = tag.as_vec()[1]
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input_type = tag.as_vec()[2]
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if input_type != "text":
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return False
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return True
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async def create_request_from_nostr_event(self, event, client=None, dvm_config=None):
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self.dvm_config = dvm_config
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request_form = {"jobID": event.id().to_hex()}
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user = event.author().to_hex()
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# default values
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max_results = 200
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for tag in event.tags().to_vec():
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if tag.as_vec()[0] == 'i':
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input_type = tag.as_vec()[2]
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elif tag.as_vec()[0] == 'param':
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param = tag.as_vec()[1]
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if param == "max_results": # check for param type
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max_results = int(tag.as_vec()[2])
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elif param == "user": # check for param type
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user = tag.as_vec()[2]
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options = {
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"max_results": max_results,
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"user": user,
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}
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request_form['options'] = json.dumps(options)
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self.request_form = request_form
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return request_form
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async def process(self, request_form):
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# if the dvm supports individual results, recalculate it every time for the request
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if self.personalized:
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return await self.calculate_result(request_form)
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# else return the result that gets updated once every schenduled update. In this case on database update.
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else:
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return self.result
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async def post_process(self, result, event):
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"""Overwrite the interface function to return a social client readable format, if requested"""
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for tag in event.tags().to_vec():
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if tag.as_vec()[0] == 'output':
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format = tag.as_vec()[1]
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if format == "text/plain": # check for output type
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result = post_process_list_to_events(result)
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# if not text/plain, don't post-process
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return result
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async def calculate_result(self, request_form):
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from nostr_sdk import Filter
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from types import SimpleNamespace
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ns = SimpleNamespace()
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options = self.set_options(request_form)
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relaylimits = RelayLimits.disable()
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opts = (
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Options().relay_limits(relaylimits))
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sk = SecretKey.parse(self.dvm_config.PRIVATE_KEY)
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keys = Keys.parse(sk.to_hex())
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if self.database is None:
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self.database = NostrDatabase.lmdb(self.db_name)
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cli = ClientBuilder().database(self.database).signer(NostrSigner.keys(keys)).opts(opts).build()
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for relay in self.dvm_config.SYNC_DB_RELAY_LIST:
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await cli.add_relay(relay)
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# ropts = RelayOptions().ping(False)
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# cli.add_relay_with_opts("wss://nostr.band", ropts)
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await cli.connect()
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user = PublicKey.parse(options["user"])
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followers_filter = Filter().author(user).kinds([Kind(3)])
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followers = await cli.fetch_events(followers_filter, relay_timeout)
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if len(followers.to_vec()) > 0:
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newest = 0
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best_entry = followers.to_vec()[0]
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for entry in followers.to_vec():
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if entry.created_at().as_secs() > newest:
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newest = entry.created_at().as_secs()
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best_entry = entry
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# print(best_entry.as_json())
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followings = []
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for tag in best_entry.tags().to_vec():
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if tag.as_vec()[0] == "p":
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following = tag.as_vec()[1]
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followings.append(following)
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else:
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print("Couldn't find follower List")
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return []
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print(len(followings))
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timestamp_since = Timestamp.now().as_secs() - self.db_since
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since = Timestamp.from_secs(timestamp_since)
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filter1 = Filter().kind(definitions.EventDefinitions.KIND_NOTE).since(since)
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events = await self.database.query(filter1)
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print("[" + self.dvm_config.NIP89.NAME + "] Considering " + str(len(events.to_vec())) + " Events")
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ns.finallist = {}
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for event in events.to_vec():
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if event.author().to_hex() in followings:
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continue
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filt = Filter().kinds(
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[definitions.EventDefinitions.KIND_ZAP, definitions.EventDefinitions.KIND_REACTION,
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definitions.EventDefinitions.KIND_REPOST,
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definitions.EventDefinitions.KIND_NOTE]).event(event.id()).since(since)
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reactions = await self.database.query(filt)
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if len(reactions.to_vec()) >= self.min_reactions:
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ns.finallist[event.id().to_hex()] = len(reactions.to_vec())
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print(len(ns.finallist))
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result_list = []
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finallist_sorted = sorted(ns.finallist.items(), key=lambda x: x[1], reverse=True)[:int(options["max_results"])]
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for entry in finallist_sorted:
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# print(EventId.parse(entry[0]).to_bech32() + "/" + EventId.parse(entry[0]).to_hex() + ": " + str(entry[1]))
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e_tag = Tag.parse(["e", entry[0]])
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result_list.append(e_tag.as_vec())
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if self.dvm_config.LOGLEVEL.value >= LogLevel.DEBUG.value:
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print("[" + self.dvm_config.NIP89.NAME + "] Filtered " + str(
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len(result_list)) + " fitting events.")
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# await cli.shutdown()
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return json.dumps(result_list)
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async def schedule(self, dvm_config):
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if dvm_config.SCHEDULE_UPDATES_SECONDS == 0:
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return 0
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else:
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if Timestamp.now().as_secs() >= self.last_schedule + dvm_config.SCHEDULE_UPDATES_SECONDS:
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if self.dvm_config.UPDATE_DATABASE:
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await self.sync_db()
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self.last_schedule = Timestamp.now().as_secs()
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return 1
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async def sync_db(self):
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try:
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sk = SecretKey.parse(self.dvm_config.PRIVATE_KEY)
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keys = Keys.parse(sk.to_hex())
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database = NostrDatabase.lmdb(self.db_name)
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cli = ClientBuilder().signer(NostrSigner.keys(keys)).database(database).build()
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for relay in self.dvm_config.SYNC_DB_RELAY_LIST:
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await cli.add_relay(relay)
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await cli.connect()
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timestamp_since = Timestamp.now().as_secs() - self.db_since
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since = Timestamp.from_secs(timestamp_since)
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filter1 = Filter().kinds(
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[definitions.EventDefinitions.KIND_NOTE, definitions.EventDefinitions.KIND_REACTION,
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definitions.EventDefinitions.KIND_ZAP]).since(since) # Notes, reactions, zaps
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# filter = Filter().author(keys.public_key())
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if self.dvm_config.LOGLEVEL.value >= LogLevel.DEBUG.value:
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print("[" + self.dvm_config.NIP89.NAME + "] Syncing notes of the last " + str(
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self.db_since) + " seconds.. this might take a while..")
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dbopts = SyncOptions().direction(SyncDirection.DOWN)
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await cli.sync(filter1, dbopts)
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await cli.database().delete(Filter().until(Timestamp.from_secs(
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Timestamp.now().as_secs() - self.db_since))) # Clear old events so db doesn't get too full.
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await cli.shutdown()
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if self.dvm_config.LOGLEVEL.value >= LogLevel.DEBUG.value:
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print(
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"[" + self.dvm_config.NIP89.NAME + "] Done Syncing Notes of the last " + str(
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self.db_since) + " seconds..")
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except Exception as e:
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print(e)
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# We build an example here that we can call by either calling this file directly from the main directory,
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# or by adding it to our playground. You can call the example and adjust it to your needs or redefine it in the
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# playground or elsewhere
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def build_example(name, identifier, admin_config, options, image, description, update_rate=600, cost=0,
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processing_msg=None, update_db=True):
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dvm_config = build_default_config(identifier)
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dvm_config.USE_OWN_VENV = False
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dvm_config.SHOWLOG = True
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dvm_config.SCHEDULE_UPDATES_SECONDS = update_rate # Every 10 minutes
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dvm_config.UPDATE_DATABASE = update_db
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# Activate these to use a subscription based model instead
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# dvm_config.SUBSCRIPTION_REQUIRED = True
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# dvm_config.SUBSCRIPTION_DAILY_COST = 1
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dvm_config.FIX_COST = cost
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dvm_config.CUSTOM_PROCESSING_MESSAGE = processing_msg
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admin_config.LUD16 = dvm_config.LN_ADDRESS
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# Add NIP89
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nip89info = {
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"name": name,
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"picture": image,
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"about": description,
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"lud16": dvm_config.LN_ADDRESS,
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"supportsEncryption": True,
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"acceptsNutZaps": False,
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"personalized": False,
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"amount": create_amount_tag(cost),
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"nip90Params": {
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"max_results": {
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"required": False,
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"values": [],
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"description": "The number of maximum results to return (default currently 100)"
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}
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}
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}
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nip89config = NIP89Config()
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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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return DicoverContentCurrentlyPopularNonFollowers(name=name, dvm_config=dvm_config, nip89config=nip89config,
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admin_config=admin_config, options=options)
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def build_example_subscription(name, identifier, admin_config, options, image, description, processing_msg=None,
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update_db=True):
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dvm_config = build_default_config(identifier)
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dvm_config.USE_OWN_VENV = False
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dvm_config.SHOWLOG = True
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dvm_config.SCHEDULE_UPDATES_SECONDS = 600 # Every 10 minutes
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dvm_config.UPDATE_DATABASE = update_db
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# Activate these to use a subscription based model instead
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dvm_config.FIX_COST = 0
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dvm_config.CUSTOM_PROCESSING_MESSAGE = processing_msg
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admin_config.LUD16 = dvm_config.LN_ADDRESS
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# Add NIP89
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nip89info = {
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"name": name,
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"picture": image,
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"about": description,
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"lud16": dvm_config.LN_ADDRESS,
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"supportsEncryption": True,
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"acceptsNutZaps": False,
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"subscription": True,
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"personalized": False,
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"nip90Params": {
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"max_results": {
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"required": False,
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"values": [],
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"description": "The number of maximum results to return (default currently 100)"
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}
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}
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}
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nip89config = NIP89Config()
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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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nip88config = NIP88Config()
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nip88config.DTAG = check_and_set_d_tag_nip88(identifier, name, dvm_config.PRIVATE_KEY, nip89info["picture"])
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nip88config.TIER_EVENT = check_and_set_tiereventid_nip88(identifier, "1")
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nip89config.NAME = name
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nip88config.IMAGE = nip89info["picture"]
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nip88config.TITLE = name
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nip88config.AMOUNT_DAILY = 100
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nip88config.AMOUNT_MONTHLY = 2000
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nip88config.CONTENT = "Subscribe to the DVM for unlimited use during your subscription"
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nip88config.PERK1DESC = "Unlimited requests"
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nip88config.PERK2DESC = "Support NostrDVM & NostrSDK development"
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nip88config.PAYMENT_VERIFIER_PUBKEY = "5b5c045ecdf66fb540bdf2049fe0ef7f1a566fa427a4fe50d400a011b65a3a7e"
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# admin_config.FETCH_NIP88 = True
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# admin_config.EVENTID = "63a791cdc7bf78c14031616963105fce5793f532bb231687665b14fb6d805fdb"
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# admin_config.PRIVKEY = dvm_config.PRIVATE_KEY
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return DicoverContentCurrentlyPopularNonFollowers(name=name, dvm_config=dvm_config, nip89config=nip89config,
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nip88config=nip88config,
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admin_config=admin_config,
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options=options)
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if __name__ == '__main__':
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process_venv(DicoverContentCurrentlyPopularNonFollowers)
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