Files
pod-api-requester/api_requester.py
PearsonWhite 51e8f16f0d Improve process_data and break into files (#3)
* Return better error info from process_data

* Fix input types for process_data

* Break up code into different files
2026-01-22 14:38:44 -05:00

178 lines
5.9 KiB
Python

import argparse
import random
from argparse import Namespace
from collections import defaultdict
from pathlib import Path
from typing import Dict, List
import uvicorn
import yaml
from app import create_app
from common import call_endpoint, get_pod_infos
from configs import ConfigAction, ConfigEndpoint, ConfigRequest, ConfigTarget
from schemas import TargetPodInfo
from utils import setup_logger
logger = setup_logger(__file__)
def assert_unique_attr(objects: List[object], attribute: str):
names = [getattr(endpoint, attribute) for endpoint in objects]
duplicates = set()
seen = []
for name in names:
if any(name == item for item in seen):
duplicates.add(name)
else:
seen.append(name)
assert not duplicates, (
f"At least one object has the same attribute as another. "
f"Attribute name: `{attribute}`. "
f"Duplicate attributes: `{duplicates}`. "
f"Objects: `{objects}`"
)
def parse_config(config: Dict[str, List[object]]) -> Dict[str, Dict[str, object]]:
targets = [ConfigTarget.model_validate(targ) for targ in config.get("targets", [])]
targets_dict = {target.name: target for target in targets}
assert_unique_attr(targets, "name")
endpoints = [ConfigEndpoint.model_validate(endpoint) for endpoint in config["endpoints"]]
endpoints_dict = {endpoint.name: endpoint for endpoint in endpoints}
assert_unique_attr(endpoints, "name")
requests = []
for request_dict in config["requests"]:
request_dict["endpoint"] = endpoints_dict[request_dict["endpoint"]]
requests.append(ConfigRequest.model_validate(request_dict))
requests_dict = {request.name: request for request in requests}
assert_unique_attr(requests, "name")
actions: List[ConfigAction] = []
for action in config["actions"]:
try:
action["requests"] = [requests_dict[req] for req in action["requests"]]
except KeyError as e:
raise ValueError(
f"Action contains unknown request. action: `{action}` requests: `{requests_dict}`"
) from e
try:
action["targets"] = [targets_dict[targ] for targ in action["targets"]]
except KeyError as e:
raise ValueError(
f"Action contains unknown target. action: `{action}` targets: `{targets_dict}`"
) from e
actions.append(ConfigAction.model_validate(action))
actions_dict = {action.name: action for action in actions}
assert_unique_attr(actions, "name")
return {
"targets": targets_dict,
"endpoints": endpoints_dict,
"requests": requests_dict,
"actions": actions_dict,
}
def load_configs(config_files: List[str]) -> Dict[str, Dict[str, object]]:
logger.info(f"Loading configs: {config_files}")
full_config = defaultdict(list)
for config_file in config_files:
with open(config_file, "r") as file:
config = yaml.safe_load(file)
for key, value in config.items():
full_config[key].extend(value)
return parse_config(full_config)
def do_action(
action: ConfigAction,
pods: List[TargetPodInfo],
):
target_names = [target.name for target in action.targets]
possible_pods = [pod for pod in pods if pod.config_target.name in target_names]
if action.order == "random":
random.shuffle(possible_pods)
elif action.order == "ascending":
possible_pods.sort(key=lambda pod: pod.pod_name)
elif action.order == "descending":
possible_pods.sort(key=lambda pod: pod.pod_name, reverse=True)
else:
raise ValueError(f"Unknown order for action: {action.order}")
pods = []
count = len(possible_pods) if action.pod_count == "all" else action.pod_count
index = action.pod_start_index
for _ in range(count):
pods.append(possible_pods[index])
index = (index + 1) % len(possible_pods)
if action.loop_order == "foreach_pod_make_all_requests":
for pod in pods:
for request in action.requests:
# time.sleep(delay_between_requests) TODO
call_endpoint(request, pod)
elif action.loop_order == "foreach_request_target_each_pod":
for request in action.requests:
# TODO: ensure time between requests has elapsed
for pod in pods:
call_endpoint(request, pod)
else:
raise ValueError(f"Unknown loop_order for action: {action}")
def main(args: Namespace):
config = load_configs(args.config_files)
available_endpoints = [endpoint.name for endpoint in config["endpoints"].values()]
logger.debug(f"Loaded config. Available endpoints: {available_endpoints}")
if args.mode == "server":
app = create_app(config)
uvicorn.run(app, host="0.0.0.0", port=args.port, log_config=None)
else:
pods_info = get_pod_infos(config["targets"])
for action in config["actions"]:
do_action(action, pods_info)
def mode_type(value):
if value not in ["batch", "server"]:
raise argparse.ArgumentTypeError(f"Invalid mode: {value}. Must be 'batch' or 'server'.")
return value
def parse_args() -> argparse.Namespace:
parser = argparse.ArgumentParser(description="Waku storage retriever")
parser.add_argument(
"--config",
type=Path,
action="append",
dest="config_files",
required=True,
help="Paths to config files. Can be passed multiple times.",
)
parser.add_argument(
"--mode",
type=mode_type,
default="server",
help="Batch: Run actions immediately. Server: Wait for API calls to /action/<myaction> to run.",
)
parser.add_argument(
"--port",
type=int,
default=8645,
help="Port for the action HTTP server (default 8645)",
)
args = parser.parse_args()
return args
if __name__ == "__main__":
args = parse_args()
main(args)