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bal-electrum-plugin/bal/core/willexecutors.py
bot 70f76b42d1 add bal/core (no pycache)
2026-06-20 09:48:43 -04:00

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"""
bal.core.willexecutors
=======================
Client logic for talking to *will-executor* servers.
A will-executor is an optional third-party service that, for a small fee,
stores the signed inheritance transactions off-line and broadcasts them once
their locktime expires (acting as a dead-man's switch backup).
This module only contains the networking / data-shaping logic (downloading the
server list, pinging servers for their fee and address, pushing transactions,
checking whether a tx is already stored). It is GUI-free: all user
interaction is handled by the Qt layer.
"""
import json
import time
from datetime import datetime
from aiohttp import ClientResponse
from electrum.i18n import _
from electrum.logging import get_logger
from electrum.network import Network
from .plugin_base import BalPlugin
# Per-request timeout (seconds) for interactive operations (ping / info /
# list download). These fail fast (no retries) so a dead server does not
# block the UI.
DEFAULT_TIMEOUT = 5
# Broadcast (pushtxs) timeouts. Broadcasting a will is important, so we keep a
# couple of quick retries to survive a transient hiccup -- but far from the old
# 10s x 10 retries + 30s sleeps (~140s) that froze the wizard on a dead server.
# Worst case per server is now ~ PUSH_TIMEOUT * (1 + PUSH_MAX_RETRIES)
# + PUSH_RETRY_SLEEP * PUSH_MAX_RETRIES = 8 * 3 + 1 * 2 = ~26s, and the wizard
# also enforces a global deadline on top of this (see push_transactions_parallel).
PUSH_TIMEOUT = 8
PUSH_MAX_RETRIES = 2
PUSH_RETRY_SLEEP = 1
# Global wall-clock deadline (seconds) for the whole parallel broadcast. Once
# it elapses we stop waiting for the still-pending servers, mark them as
# "Timeout" and let the wizard proceed instead of appearing stuck.
PUSH_GLOBAL_DEADLINE = 30
# Check (searchtx) timeouts. Used when the user presses "Check" to verify that
# each will-executor still holds the transaction. Like the broadcast path, the
# old defaults (10s x 10 retries + 30s sleeps ~= 140s per server) froze the
# "checking transaction" dialog on a single dead server. Fail fast with one
# quick retry, and cap the whole batch with a global deadline.
CHECK_TIMEOUT = 8
CHECK_MAX_RETRIES = 1
CHECK_RETRY_SLEEP = 1
CHECK_GLOBAL_DEADLINE = 30
_logger = get_logger(__name__)
chainname = BalPlugin.chainname
class Willexecutors:
# Expose the networking constants as class attributes so the GUI layer can
# reference them (e.g. to show the "Xs / DEADLINEs" countdown) without
# importing module-level names. Single source of truth: the module
# constants defined above.
DEFAULT_TIMEOUT = DEFAULT_TIMEOUT
PUSH_TIMEOUT = PUSH_TIMEOUT
PUSH_MAX_RETRIES = PUSH_MAX_RETRIES
PUSH_RETRY_SLEEP = PUSH_RETRY_SLEEP
PUSH_GLOBAL_DEADLINE = PUSH_GLOBAL_DEADLINE
CHECK_TIMEOUT = CHECK_TIMEOUT
CHECK_MAX_RETRIES = CHECK_MAX_RETRIES
CHECK_RETRY_SLEEP = CHECK_RETRY_SLEEP
CHECK_GLOBAL_DEADLINE = CHECK_GLOBAL_DEADLINE
@staticmethod
def save(bal_plugin, willexecutors):
_logger.debug(f"save {willexecutors},{chainname}")
aw = bal_plugin.WILLEXECUTORS.get()
aw[chainname] = willexecutors
bal_plugin.WILLEXECUTORS.set(aw)
_logger.debug(f"saved: {aw}")
# bal_plugin.WILLEXECUTORS.set(willexecutors)
@staticmethod
def get_willexecutors(
bal_plugin, update=False, bal_window=False, force=False, task=True
):
willexecutors = bal_plugin.WILLEXECUTORS.get()
willexecutors = willexecutors.get(chainname, {})
to_del = []
for w in willexecutors:
if not isinstance(willexecutors[w], dict):
to_del.append(w)
continue
Willexecutors.initialize_willexecutor(willexecutors[w], w)
for w in to_del:
_logger.error(
"error Willexecutor to delete type:{} {}".format(
type(willexecutors[w]), w
)
)
del willexecutors[w]
bal = bal_plugin.WILLEXECUTORS.default.get(chainname, {})
for bal_url, bal_executor in bal.items():
if bal_url not in willexecutors:
_logger.debug(f"force add {bal_url} willexecutor")
willexecutors[bal_url] = bal_executor
# if update:
# found = False
# for url, we in willexecutors.items():
# if Willexecutors.is_selected(we):
# found = True
# if found or force:
# if bal_plugin.PING_WILLEXECUTORS.get() or force:
# ping_willexecutors = True
# if bal_plugin.ASK_PING_WILLEXECUTORS.get() and not force:
# if bal_window:
# ping_willexecutors = bal_window.window.question(
# _(
# "Contact willexecutors servers to update payment informations?"
# )
# )
# if ping_willexecutors:
# if task:
# bal_window.ping_willexecutors(willexecutors, task)
# else:
# bal_window.ping_willexecutors_task(willexecutors)
w_sorted = dict(
sorted(
willexecutors.items(), key=lambda w: w[1].get("sort", 0), reverse=True
)
)
return w_sorted
@staticmethod
def is_selected(willexecutor, value=None):
if not willexecutor:
return False
if value is not None:
willexecutor["selected"] = value
try:
return willexecutor["selected"]
except Exception:
willexecutor["selected"] = False
return False
@staticmethod
def get_willexecutor_transactions(will, force=False):
willexecutors = {}
for wid, willitem in will.items():
if willitem.get_status("VALID"):
if willitem.get_status("COMPLETE"):
if not willitem.get_status("PUSHED") or force:
if willexecutor := willitem.we:
url = willexecutor["url"]
if willexecutor and Willexecutors.is_selected(willexecutor):
if url not in willexecutors:
willexecutor["txs"] = ""
willexecutor["txsids"] = []
willexecutor["broadcast_status"] = _("Waiting...")
willexecutors[url] = willexecutor
willexecutors[url]["txs"] += str(willitem.tx) + "\n"
willexecutors[url]["txsids"].append(wid)
return willexecutors
# def only_selected_list(willexecutors):
# out = {}
# for url, v in willexecutors.items():
# if Willexecutors.is_selected(url):
# out[url] = v
# def push_transactions_to_willexecutors(will):
# willexecutors = Willexecutors.get_transactions_to_be_pushed()
# for url in willexecutors:
# willexecutor = willexecutors[url]
# if Willexecutors.is_selected(willexecutor):
# if "txs" in willexecutor:
# Willexecutors.push_transactions_to_willexecutor(
# willexecutors[url]["txs"], url
# )
@staticmethod
def send_request(
method, url, data=None, *, timeout=10, handle_response=None, count_reply=0,
max_retries=10, retry_sleep=3,
):
"""Send an HTTP request to a will-executor server.
``max_retries`` / ``retry_sleep`` control the timeout-retry behaviour:
* For *critical* operations (pushing inheritance transactions) the
historical default of up to 10 retries with a 3s back-off is kept, so
a transient network hiccup does not lose a transaction.
* For *interactive* operations (ping / info / list download) callers
should pass ``max_retries=0`` so a dead server fails fast (one short
timeout) instead of blocking the UI for minutes. See
:meth:`ping_servers_parallel`.
"""
network = Network.get_instance()
if not network:
raise Exception("You are offline.")
_logger.debug(f"<-- {method} {url} {data}")
headers = {}
headers["user-agent"] = f"BalPlugin v:{BalPlugin.__version__}"
headers["Content-Type"] = "text/plain"
if not handle_response:
handle_response = Willexecutors.handle_response
try:
if method == "get":
response = Network.send_http_on_proxy(
method,
url,
params=data,
headers=headers,
on_finish=handle_response,
timeout=timeout,
)
elif method == "post":
response = Network.send_http_on_proxy(
method,
url,
body=data,
headers=headers,
on_finish=handle_response,
timeout=timeout,
)
else:
raise Exception(f"unexpected {method=!r}")
except TimeoutError:
if count_reply < max_retries:
_logger.debug(
f"timeout({count_reply}) error: retry in {retry_sleep} sec..."
)
if retry_sleep:
time.sleep(retry_sleep)
return Willexecutors.send_request(
method,
url,
data,
timeout=timeout,
handle_response=handle_response,
count_reply=count_reply + 1,
max_retries=max_retries,
retry_sleep=retry_sleep,
)
else:
_logger.debug(f"Too many timeouts: {count_reply}")
except Exception as e:
raise e
else:
_logger.debug(f"--> {response}")
return response
@staticmethod
def get_we_url_from_response(resp):
url_slices = str(resp.url).split("/")
if len(url_slices) > 2:
url_slices = url_slices[:-2]
return "/".join(url_slices)
@staticmethod
async def handle_response(resp: ClientResponse):
r = await resp.text()
try:
r = json.loads(r)
# url = Willexecutors.get_we_url_from_response(resp)
# r["url"]= url
# r["status"]=resp.status
except Exception as e:
_logger.debug(f"error handling response:{e}")
pass
return r
@staticmethod
class AlreadyPresentException(Exception):
pass
@staticmethod
def push_transactions_to_willexecutor(
willexecutor, *, timeout=PUSH_TIMEOUT, max_retries=PUSH_MAX_RETRIES,
retry_sleep=PUSH_RETRY_SLEEP,
):
# ``timeout`` / ``max_retries`` / ``retry_sleep`` are forwarded to
# send_request so the broadcast fails fast on a dead/slow server instead
# of hanging for ~140s (the old default was 10s timeout x 10 retries +
# 30s of sleeps). A small number of quick retries still protects
# against a transient hiccup without freezing the wizard.
out = True
try:
_logger.debug(f"{willexecutor['url']}: {willexecutor['txs']}")
if w := Willexecutors.send_request(
"post",
willexecutor["url"] + "/" + chainname + "/pushtxs",
data=willexecutor["txs"].encode("ascii"),
timeout=timeout,
max_retries=max_retries,
retry_sleep=retry_sleep,
):
willexecutor["broadcast_status"] = _("Success")
_logger.debug(f"pushed: {w}")
if w != "thx":
_logger.debug(f"error: {w}")
raise Exception(w)
else:
raise Exception("empty reply from:{willexecutor['url']}")
except Exception as e:
_logger.debug(f"error:{e}")
if str(e) == "already present":
raise Willexecutors.AlreadyPresentException()
out = False
willexecutor["broadcast_status"] = _("Failed")
return out
@staticmethod
def ping_servers(willexecutors):
for url, we in willexecutors.items():
Willexecutors.get_info_task(url, we)
@staticmethod
def get_info_task(url, willexecutor, *, timeout=DEFAULT_TIMEOUT,
max_retries=0, retry_sleep=0):
w = None
try:
_logger.info("GETINFO_WILLEXECUTOR")
_logger.debug(url)
# Fast-fail by default (max_retries=0): a dead server returns after a
# single short timeout instead of retrying 10x with sleeps, which
# used to freeze the UI for minutes per unreachable server.
w = Willexecutors.send_request(
"get", url + "/" + chainname + "/info",
timeout=timeout, max_retries=max_retries, retry_sleep=retry_sleep,
)
if isinstance(w, dict):
willexecutor["url"] = url
willexecutor["status"] = 200
willexecutor["base_fee"] = w["base_fee"]
willexecutor["address"] = w["address"]
willexecutor["info"] = w["info"]
else:
# No dict reply (timeout / empty) -> mark as unreachable.
willexecutor["status"] = "KO"
_logger.debug(f"response_data {w}")
except Exception as e:
_logger.error(f"error {e} contacting {url}: {w}")
willexecutor["status"] = "KO"
willexecutor["last_update"] = datetime.now().timestamp()
return willexecutor
@staticmethod
def ping_servers_parallel(willexecutors, *, on_each=None, max_workers=8,
timeout=DEFAULT_TIMEOUT, on_tick=None,
tick_interval=1.0):
"""Ping every will-executor concurrently and report results as they
arrive.
Network requests run in a thread pool: each ``send_http_on_proxy`` call
schedules its coroutine on Electrum's shared asyncio loop and blocks
only its *own* worker thread, so the total wall-clock time is roughly
that of the slowest server rather than the *sum* of all of them. A
single dead server can no longer stall the whole batch.
Args:
willexecutors: ``{url: we_dict}`` mapping (mutated in place with the
ping result, exactly like the old sequential ``ping_servers``).
on_each: optional ``callback(url, we_dict, ok: bool)`` invoked from a
worker thread each time a server answers (or fails), so the GUI
can update its list live. Must be thread-safe / marshalled to
the GUI thread by the caller.
max_workers: maximum number of concurrent pings.
timeout: per-request timeout in seconds (fast-fail, no retries).
on_tick: optional ``callback()`` invoked periodically (every
``tick_interval`` seconds) **from the calling thread** while
waiting for servers, so a Qt caller can refresh an elapsed-time
counter from the same thread that drives ``on_each``.
Returns:
The same ``willexecutors`` mapping, updated in place.
"""
from concurrent.futures import ThreadPoolExecutor, wait
from concurrent.futures import FIRST_COMPLETED
items = list(willexecutors.items())
if not items:
return willexecutors
def _ping_one(url, we):
we = Willexecutors.get_info_task(
url, we, timeout=timeout, max_retries=0, retry_sleep=0
)
ok = we.get("status") == 200
return url, we, ok
def _fire_tick():
if on_tick is not None:
try:
on_tick()
except Exception as cb_err:
_logger.error(f"ping on_tick callback error: {cb_err}")
workers = max(1, min(max_workers, len(items)))
# Manual pool (no ``with``) so we can poll futures in short slices and
# drive ``on_tick`` from THIS thread between waits (reliable Qt repaint).
pool = ThreadPoolExecutor(max_workers=workers, thread_name_prefix="bal-ping")
futures = {pool.submit(_ping_one, url, we) for url, we in items}
try:
pending = set(futures)
while pending:
done, pending = wait(
pending, timeout=tick_interval, return_when=FIRST_COMPLETED
)
for fut in done:
try:
url, we, ok = fut.result()
except Exception as e: # defensive: one server never crashes all
_logger.error(f"ping_servers_parallel worker error: {e}")
continue
willexecutors[url] = we
if on_each is not None:
try:
on_each(url, we, ok)
except Exception as cb_err:
_logger.error(f"ping on_each callback error: {cb_err}")
# Drive the elapsed-time counter from the calling thread.
_fire_tick()
finally:
try:
pool.shutdown(wait=False, cancel_futures=True)
except TypeError:
pool.shutdown(wait=False)
return willexecutors
@staticmethod
def push_transactions_parallel(willexecutors, *, on_each=None, max_workers=8,
deadline=PUSH_GLOBAL_DEADLINE, on_timeout=None,
on_tick=None, tick_interval=1.0):
"""Push transactions to multiple will-executors concurrently.
Like :meth:`ping_servers_parallel` but for the ``pushtxs`` operation.
Each server keeps a short retry behaviour
(:meth:`push_transactions_to_willexecutor`) so a real transaction is not
lost to a transient hiccup, but servers are contacted in parallel and
results are reported via ``on_each(url, we_dict, ok, exc)`` as they
complete.
A global wall-clock ``deadline`` (seconds) caps the whole operation: if
some servers are still pending when it elapses, we stop waiting, mark
them via ``on_timeout(url, we_dict)`` and return, so the caller (the
wizard) is never stuck behind one unresponsive server. Pass
``deadline=None`` to wait indefinitely (old behaviour).
``on_tick()`` is invoked periodically (every ``tick_interval`` seconds)
**from the calling thread** while waiting for workers. This lets a Qt
caller refresh an elapsed-time counter from the same thread that drives
``on_each`` (so its pyqtSignal repaints reliably), instead of relying on
a separate heartbeat thread whose signal emissions are not marshalled.
Returns ``{url: (ok, exception_or_None)}`` for the servers that
answered in time (timed-out servers are reported via ``on_timeout``).
"""
from concurrent.futures import ThreadPoolExecutor, wait
from concurrent.futures import FIRST_COMPLETED
targets = [(url, we) for url, we in willexecutors.items() if "txs" in we]
results = {}
if not targets:
return results
def _push_one(url, we):
try:
ok = Willexecutors.push_transactions_to_willexecutor(we)
return url, we, ok, None
except Willexecutors.AlreadyPresentException as ape:
return url, we, False, ape
except Exception as e:
return url, we, False, e
def _fire_tick():
if on_tick is not None:
try:
on_tick()
except Exception as cb_err:
_logger.error(f"push on_tick callback error: {cb_err}")
workers = max(1, min(max_workers, len(targets)))
# NOTE: we do not use ``with ThreadPoolExecutor(...)`` here because its
# __exit__ calls shutdown(wait=True), which would block on a hung worker
# and defeat the whole point of the global deadline. We shut the pool
# down without waiting once the deadline elapses; the daemon worker(s)
# stuck on a dead socket will be torn down when their request finally
# times out (PUSH_TIMEOUT), without holding up the wizard.
pool = ThreadPoolExecutor(max_workers=workers, thread_name_prefix="bal-push")
fut_to_url = {pool.submit(_push_one, url, we): (url, we)
for url, we in targets}
start = time.time()
try:
# Poll the futures in short slices so we can call ``on_tick`` from
# THIS thread between waits. ``wait(..., timeout=tick_interval)``
# returns as soon as a future completes OR the slice elapses,
# whichever comes first, so the counter advances ~once per second
# while the parallel push runs.
pending = set(fut_to_url.keys())
while pending:
if deadline is not None and (time.time() - start) >= deadline:
break
slice_timeout = tick_interval
if deadline is not None:
remaining = deadline - (time.time() - start)
slice_timeout = max(0.0, min(tick_interval, remaining))
done, pending = wait(
pending, timeout=slice_timeout, return_when=FIRST_COMPLETED
)
for fut in done:
try:
url, we, ok, exc = fut.result()
except Exception as e:
_logger.error(
f"push_transactions_parallel worker error: {e}"
)
continue
results[url] = (ok, exc)
if on_each is not None:
try:
on_each(url, we, ok, exc)
except Exception as cb_err:
_logger.error(f"push on_each callback error: {cb_err}")
# Drive the elapsed-time counter from the calling thread.
_fire_tick()
# Any server still pending here hit the global deadline.
if pending:
elapsed = time.time() - start
_logger.warning(
f"push global deadline ({deadline}s) reached after "
f"{elapsed:.1f}s; {len(pending)} server(s) "
f"did not answer in time"
)
for fut in pending:
url, we = fut_to_url[fut]
if url in results:
continue
if on_timeout is not None:
try:
on_timeout(url, we)
except Exception as cb_err:
_logger.error(
f"push on_timeout callback error: {cb_err}"
)
finally:
# Do not block on still-running workers (Python 3.9+: cancel queued).
try:
pool.shutdown(wait=False, cancel_futures=True)
except TypeError:
pool.shutdown(wait=False)
return results
@staticmethod
def check_transactions_parallel(items, *, on_each=None, max_workers=8,
deadline=CHECK_GLOBAL_DEADLINE,
on_timeout=None, on_tick=None,
tick_interval=1.0):
"""Check (searchtx) several will-executors concurrently.
Same design as :meth:`push_transactions_parallel`, but for the "Check"
operation: it verifies that each will-executor still holds its
transaction. ``items`` is an iterable of ``(wid, url)`` pairs (one per
will-item that has a will-executor).
Each server is contacted in parallel with a short fail-fast retry
(:meth:`check_transaction`), results are reported via
``on_each(wid, url, result_or_None, exc)`` as they arrive, ``on_tick()``
is called periodically from the calling thread to refresh a counter, and
a global ``deadline`` guarantees the dialog never freezes behind one
unresponsive server (pending servers are reported via
``on_timeout(wid, url)``).
Returns ``{wid: (result_or_None, exception_or_None)}`` for the servers
that answered in time.
"""
from concurrent.futures import ThreadPoolExecutor, wait
from concurrent.futures import FIRST_COMPLETED
targets = [(wid, url) for wid, url in items if url]
results = {}
if not targets:
return results
def _check_one(wid, url):
try:
res = Willexecutors.check_transaction(wid, url)
return wid, url, res, None
except Exception as e:
return wid, url, None, e
def _fire_tick():
if on_tick is not None:
try:
on_tick()
except Exception as cb_err:
_logger.error(f"check on_tick callback error: {cb_err}")
workers = max(1, min(max_workers, len(targets)))
# Manual pool (no ``with``): we must not block on a hung worker when the
# global deadline elapses (see push_transactions_parallel for details).
pool = ThreadPoolExecutor(max_workers=workers, thread_name_prefix="bal-check")
fut_to_target = {pool.submit(_check_one, wid, url): (wid, url)
for wid, url in targets}
start = time.time()
try:
pending = set(fut_to_target.keys())
while pending:
if deadline is not None and (time.time() - start) >= deadline:
break
slice_timeout = tick_interval
if deadline is not None:
remaining = deadline - (time.time() - start)
slice_timeout = max(0.0, min(tick_interval, remaining))
done, pending = wait(
pending, timeout=slice_timeout, return_when=FIRST_COMPLETED
)
for fut in done:
try:
wid, url, res, exc = fut.result()
except Exception as e:
_logger.error(
f"check_transactions_parallel worker error: {e}"
)
continue
results[wid] = (res, exc)
if on_each is not None:
try:
on_each(wid, url, res, exc)
except Exception as cb_err:
_logger.error(f"check on_each callback error: {cb_err}")
# Drive the elapsed-time counter from the calling thread.
_fire_tick()
# Any server still pending here hit the global deadline.
if pending:
elapsed = time.time() - start
_logger.warning(
f"check global deadline ({deadline}s) reached after "
f"{elapsed:.1f}s; {len(pending)} server(s) "
f"did not answer in time"
)
for fut in pending:
wid, url = fut_to_target[fut]
if wid in results:
continue
if on_timeout is not None:
try:
on_timeout(wid, url)
except Exception as cb_err:
_logger.error(
f"check on_timeout callback error: {cb_err}"
)
finally:
try:
pool.shutdown(wait=False, cancel_futures=True)
except TypeError:
pool.shutdown(wait=False)
return results
@staticmethod
def initialize_willexecutor(willexecutor, url, status=None, old_willexecutor=None):
old_willexecutor=old_willexecutor if old_willexecutor is not None else {}
willexecutor["url"] = url
if status is not None:
willexecutor["status"] = status
else:
willexecutor["status"] = old_willexecutor.get("status",willexecutor.get("status","Ko"))
willexecutor["selected"]=Willexecutors.is_selected(old_willexecutor) or willexecutor.get("selected",False)
willexecutor["address"]=old_willexecutor.get("address",willexecutor.get("address",""))
willexecutor["promo_code"]=old_willexecutor.get("promo_code",willexecutor.get("promo_code"))
@staticmethod
def download_list(old_willexecutors,welist_server):
try:
welist_server = welist_server if welist_server[-1] == '/' else welist_server+'/'
willexecutors = Willexecutors.send_request(
"get",
f"{welist_server}data/{chainname}?page=0&limit=100",
)
# del willexecutors["status"]
for w in willexecutors:
if w not in ("status", "url"):
Willexecutors.initialize_willexecutor(
willexecutors[w], w, None, old_willexecutors.get(w,None)
)
# bal_plugin.WILLEXECUTORS.set(l)
# bal_plugin.config.set_key(bal_plugin.WILLEXECUTORS,l,save=True)
return willexecutors
except Exception as e:
_logger.error(f"Failed to download willexecutors list: {e}")
return {}
@staticmethod
def get_willexecutors_list_from_json():
try:
with open("willexecutors.json") as f:
willexecutors = json.load(f)
for w in willexecutors:
willexecutor = willexecutors[w]
Willexecutors.initialize_willexecutor(willexecutor, w, "New", False)
# bal_plugin.WILLEXECUTORS.set(willexecutors)
return willexecutors
except Exception as e:
_logger.error(f"error opening willexecutors json: {e}")
return {}
@staticmethod
def check_transaction(txid, url, *, timeout=CHECK_TIMEOUT,
max_retries=CHECK_MAX_RETRIES,
retry_sleep=CHECK_RETRY_SLEEP):
_logger.debug(f"{url}:{txid}")
try:
w = Willexecutors.send_request(
"post", url + "/searchtx", data=txid.encode("ascii"),
timeout=timeout, max_retries=max_retries, retry_sleep=retry_sleep,
)
return w
except Exception as e:
_logger.error(f"error contacting {url} for checking txs {e}")
raise e
@staticmethod
def compute_id(willexecutor):
return "{}-{}".format(willexecutor.get("url"), willexecutor.get("chain"))
#class WillExecutor:
# def __init__(
# self,
# url,
# base_fee,
# chain,
# info,
# version,
# status,
# is_selected=False,
# promo_code="",
# ):
# self.url = url
# self.base_fee = base_fee
# self.chain = chain
# self.info = info
# self.version = version
# self.status = status
# self.promo_code = promo_code
# self.is_selected = is_selected
# self.id = self.compute_id()
#
# def from_dict(d):
# return WillExecutor(
# url=d.get("url", "http://localhost:8000"),
# base_fee=d.get("base_fee", 1000),
# chain=d.get("chain", chainname),
# info=d.get("info", ""),
# version=d.get("version", 0),
# status=d.get("status", "Ko"),
# is_selected=d.get("is_selected", "False"),
# promo_code=d.get("promo_code", ""),
# )
#
# def to_dict(self):
# return {
# "url": self.url,
# "base_fee": self.base_fee,
# "chain": self.chain,
# "info": self.info,
# "version": self.version,
# "promo_code": self.promo_code,
# }
#
# def compute_id(self):
# return f"{self.url}-{self.chain}"
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