mirror of
https://github.com/rowboatlabs/rowboat.git
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157 lines
4.4 KiB
Python
157 lines
4.4 KiB
Python
from pymongo import MongoClient
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from bson import ObjectId
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import os
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from datetime import datetime, timedelta, timezone
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from typing import Optional
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from scenario_types import (
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TestRun,
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TestScenario,
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TestProfile,
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TestSimulation,
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TestResult,
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AggregateResults
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)
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MONGO_URI = os.environ.get("MONGODB_URI", "mongodb://localhost:27017/rowboat").strip()
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# New collection names
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TEST_SCENARIOS_COLLECTION = "test_scenarios"
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TEST_PROFILES_COLLECTION = "test_profiles"
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TEST_SIMULATIONS_COLLECTION = "test_simulations"
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TEST_RUNS_COLLECTION = "test_runs"
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TEST_RESULTS_COLLECTION = "test_results"
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API_KEYS_COLLECTION = "api_keys" # If still needed
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def get_db():
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client = MongoClient(MONGO_URI)
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return client["rowboat"]
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def get_collection(collection_name: str):
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db = get_db()
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return db[collection_name]
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def get_api_key(project_id: str):
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"""
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If you still use an API key pattern, adapt as needed.
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"""
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collection = get_collection(API_KEYS_COLLECTION)
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doc = collection.find_one({"projectId": project_id})
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if doc:
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return doc["key"]
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else:
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return None
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#
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# TestRun helpers
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#
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def get_pending_run() -> Optional[TestRun]:
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"""
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Finds a run with 'pending' status, marks it 'running', and returns it.
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"""
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collection = get_collection(TEST_RUNS_COLLECTION)
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doc = collection.find_one_and_update(
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{"status": "pending"},
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{"$set": {"status": "running"}},
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return_document=True
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)
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if doc:
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return TestRun(
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id=str(doc["_id"]),
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projectId=doc["projectId"],
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name=doc["name"],
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simulationIds=doc["simulationIds"],
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workflowId=doc["workflowId"],
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status="running",
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startedAt=doc["startedAt"],
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completedAt=doc.get("completedAt"),
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aggregateResults=doc.get("aggregateResults"),
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lastHeartbeat=doc.get("lastHeartbeat")
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)
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return None
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def set_run_to_completed(test_run: TestRun, aggregate: AggregateResults):
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"""
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Marks a test run 'completed' and sets the aggregate results.
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"""
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collection = get_collection(TEST_RUNS_COLLECTION)
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collection.update_one(
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{"_id": ObjectId(test_run.id)},
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{
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"$set": {
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"status": "completed",
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"aggregateResults": aggregate.model_dump(by_alias=True),
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"completedAt": datetime.now(timezone.utc)
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}
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}
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)
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def update_run_heartbeat(run_id: str):
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"""
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Updates the 'lastHeartbeat' timestamp for a TestRun.
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"""
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collection = get_collection(TEST_RUNS_COLLECTION)
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collection.update_one(
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{"_id": ObjectId(run_id)},
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{"$set": {"lastHeartbeat": datetime.now(timezone.utc)}}
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)
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def mark_stale_jobs_as_failed(threshold_minutes: int = 20) -> int:
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"""
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Finds any run in 'running' status whose lastHeartbeat is older than
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`threshold_minutes`, and sets it to 'failed'. Returns the count.
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"""
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collection = get_collection(TEST_RUNS_COLLECTION)
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stale_threshold = datetime.now(timezone.utc) - timedelta(minutes=threshold_minutes)
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result = collection.update_many(
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{
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"status": "running",
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"lastHeartbeat": {"$lt": stale_threshold}
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},
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{
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"$set": {"status": "failed"}
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}
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)
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return result.modified_count
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#
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# TestSimulation helpers
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#
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def get_simulations_for_run(test_run: TestRun) -> list[TestSimulation]:
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"""
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Returns all simulations specified by a particular run.
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"""
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if test_run is None:
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return []
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collection = get_collection(TEST_SIMULATIONS_COLLECTION)
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simulation_docs = collection.find({
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"_id": {"$in": [ObjectId(sim_id) for sim_id in test_run.simulationIds]}
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})
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simulations = []
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for doc in simulation_docs:
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simulations.append(
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TestSimulation(
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id=str(doc["_id"]),
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projectId=doc["projectId"],
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name=doc["name"],
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scenarioId=doc["scenarioId"],
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profileId=doc["profileId"],
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passCriteria=doc["passCriteria"],
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createdAt=doc["createdAt"],
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lastUpdatedAt=doc["lastUpdatedAt"]
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)
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)
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return simulations
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#
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# TestResult helpers
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#
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def write_test_result(result: TestResult):
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"""
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Writes a test result into the `test_results` collection.
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"""
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collection = get_collection(TEST_RESULTS_COLLECTION)
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collection.insert_one(result.model_dump())
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