⚡️ Speed up method BaseArangoService.connect by 1,206%

[codeflash-ai]

📄 1,206% (12.06x) speedup for BaseArangoService.connect in backend/python/app/connectors/services/base_arango_service.py

⏱️ Runtime : 25.6 milliseconds → 1.96 milliseconds (best of 217 runs)

📝 Explanation and details

The optimized code achieves a 1206% speedup (25.6ms → 1.96ms) and 87% throughput improvement by eliminating redundant database calls and optimizing collection lookups.

Key Database Call Optimizations:

1. Collection Existence Checks: Instead of calling self.db.has_collection(name) for each collection individually (expensive DB round-trips), the optimization caches all collection names upfront with set(self.db.collections()) and uses fast set membership tests.

2. Database Existence Check: Similarly, sys_db.has_database(arango_db) is replaced with arango_db not in set(sys_db.databases()) to batch the database listing operation.

3. Graph Existence Checks: The repeated self.db.has_graph() calls are optimized by caching graph names with set(self.db.graphs()) once.

Data Structure Optimizations:

4. Edge Collection Lookup: Converting the linear search (collection_name, schema) in EDGE_COLLECTIONS to a pre-computed set lookup collection_name in edge_collection_set eliminates O(n) searches.

5. Department Processing: The department initialization caches list(departments_collection.all()) once and creates a set for O(1) name lookups, rather than iterating the collection multiple times.

6. Collection Reset: Uses dict.fromkeys() instead of a manual loop for resetting collections, leveraging Python's optimized dictionary operations.

Performance Impact:
These optimizations are particularly effective because database operations are I/O bound and expensive. By reducing the number of database calls from O(n) per collection/graph to O(1) batch operations, the code eliminates the primary bottleneck. The line profiler shows the original code spent significant time in has_collection calls (31.3% of runtime), which are now batched.

The 87% throughput improvement demonstrates this optimization scales well under load, making it especially valuable for applications that frequently initialize ArangoDB connections or handle multiple concurrent database operations.

✅ Correctness verification report:

Test	Status
⚙️ Existing Unit Tests	🔘 None Found
🌀 Generated Regression Tests	✅ 872 Passed
⏪ Replay Tests	🔘 None Found
🔎 Concolic Coverage Tests	🔘 None Found
📊 Tests Coverage	89.6%

🌀 Generated Regression Tests and Runtime

import asyncio

Patch the imported modules/classes for the test context

import sys

Patch imports for BaseArangoService

import types

import pytest

Patch ConfigurationService to not require env vars

from app.config.configuration_service import ConfigurationService
from app.connectors.services.base_arango_service import BaseArangoService

Mocks and helpers for dependencies

class DummyLogger:
def init(self):
self.messages = []
def info(self, msg, *args): self.messages.append(("info", msg % args if args else msg))
def debug(self, msg, *args): self.messages.append(("debug", msg % args if args else msg))
def warning(self, msg, *args): self.messages.append(("warning", msg % args if args else msg))
def error(self, msg, *args): self.messages.append(("error", msg % args if args else msg))

class DummyKeyValueStore:
# Simulate async get_key with controlled responses
def init(self, values=None, raise_exc=False):
self.values = values or {}
self.raise_exc = raise_exc
async def get_key(self, key):
if self.raise_exc:
raise ConnectionError("Simulated store error")
return self.values.get(key, None)

class DummyArangoDBCollection:
def init(self):
self.inserted = []
self._docs = []
def all(self):
# Return docs for department initialization
return self._docs
def insert_many(self, docs):
self.inserted.extend(docs)
self._docs.extend(docs)
def configure(self, schema=None):
# Simulate schema update
pass

class DummyArangoGraph:
def init(self):
self.created_edges = []
def create_edge_definition(self, **edge_def):
self.created_edges.append(edge_def)

class DummyArangoDB:
def init(self, collections=None, graphs=None):
self._collections = collections or {}
self._graphs = graphs or set()
self._created_dbs = set()
self._has_graph_calls = []
def collection(self, name):
# Return a dummy collection object
if name not in self._collections:
self._collections[name] = DummyArangoDBCollection()
return self._collections[name]
def has_collection(self, name):
# Simulate collections exist if present in dict
return name in self._collections
def create_collection(self, name, edge=False, schema=None):
# Create and return a dummy collection
self._collections[name] = DummyArangoDBCollection()
return self._collections[name]
def has_graph(self, name):
self._has_graph_calls.append(name)
return name in self._graphs
def create_graph(self, name):
self._graphs.add(name)
return DummyArangoGraph()
def has_database(self, name):
return name in self._created_dbs
def create_database(self, name):
if name in self._created_dbs:
raise Exception("duplicate database name")
self._created_dbs.add(name)

class DummyArangoClient:
def init(self, db_obj):
self._db_obj = db_obj
def db(self, name, username=None, password=None, verify=None):
# Always return the dummy db object
return self._db_obj

Minimal constants and enums for config_node_constants

class DummyEnum:
def init(self, value): self.value = value

class DummyConfigNodeConstants:
ARANGODB = DummyEnum("arangodb_config")

class PatchedConfigurationService(ConfigurationService):
def init(self, logger, key_value_store):
# Patch to not require SECRET_KEY
self.logger = logger
self.encryption_service = None
self.cache = {}
self.store = key_value_store
async def get_config(self, key, default=None, use_cache=True):
# Always return a dummy config for ARANGODB
if key == DummyConfigNodeConstants.ARANGODB.value:
return {
"url": "http://localhost:8529",
"username": "root",
"password": "pass",
"db": "test_db"
}
return default

------------------- 1. Basic Test Cases -------------------

@pytest.mark.asyncio
async def test_connect_returns_true_on_success():
"""Test that connect returns True when all steps succeed."""
logger = DummyLogger()
db_obj = DummyArangoDB()
client = DummyArangoClient(db_obj)
config_service = PatchedConfigurationService(logger, DummyKeyValueStore())
service = BaseArangoService(logger, client, config_service)
result = await service.connect()

@pytest.mark.asyncio
async def test_connect_returns_false_on_client_none():
"""Test that connect returns False if client is None."""
logger = DummyLogger()
config_service = PatchedConfigurationService(logger, DummyKeyValueStore())
service = BaseArangoService(logger, None, config_service)
result = await service.connect()

@pytest.mark.asyncio
async def test_connect_returns_false_on_config_error():
"""Test that connect returns False if config_service.get_config raises."""
logger = DummyLogger()
config_service = PatchedConfigurationService(logger, DummyKeyValueStore(raise_exc=True))
db_obj = DummyArangoDB()
client = DummyArangoClient(db_obj)
service = BaseArangoService(logger, client, config_service)
# Patch get_config to raise
async def raise_exc(key, default=None, use_cache=True): raise Exception("config error")
service.config_service.get_config = raise_exc
result = await service.connect()

------------------- 2. Edge Test Cases -------------------

@pytest.mark.asyncio
async def test_connect_concurrent_success():
"""Test concurrent connect calls succeed and do not interfere."""
logger = DummyLogger()
db_obj = DummyArangoDB()
client = DummyArangoClient(db_obj)
config_service = PatchedConfigurationService(logger, DummyKeyValueStore())
service = BaseArangoService(logger, client, config_service)
# Run multiple concurrent connects
results = await asyncio.gather(
*(service.connect() for _ in range(5))
)

@pytest.mark.asyncio
async def test_connect_handles_collection_initialization_error():
"""Test that connect returns False if _initialize_new_collections raises."""
logger = DummyLogger()
db_obj = DummyArangoDB()
client = DummyArangoClient(db_obj)
config_service = PatchedConfigurationService(logger, DummyKeyValueStore())
service = BaseArangoService(logger, client, config_service)
async def raise_exc(): raise Exception("init error")
service._initialize_new_collections = raise_exc
result = await service.connect()

@pytest.mark.asyncio
async def test_connect_handles_graph_creation_error():
"""Test that connect returns False if _create_graph raises."""
logger = DummyLogger()
db_obj = DummyArangoDB()
client = DummyArangoClient(db_obj)
config_service = PatchedConfigurationService(logger, DummyKeyValueStore())
service = BaseArangoService(logger, client, config_service)
async def ok(): return None
service._initialize_new_collections = ok
async def raise_exc(): raise Exception("graph error")
service._create_graph = raise_exc
# Patch db.has_graph so both are False to force graph creation
db_obj.has_graph = lambda name: False
result = await service.connect()

@pytest.mark.asyncio
async def test_connect_handles_department_initialization_error():
"""Test that connect returns False if _initialize_departments raises."""
logger = DummyLogger()
db_obj = DummyArangoDB()
client = DummyArangoClient(db_obj)
config_service = PatchedConfigurationService(logger, DummyKeyValueStore())
service = BaseArangoService(logger, client, config_service)
async def ok(): return None
service._initialize_new_collections = ok
service._create_graph = ok
async def raise_exc(): raise Exception("dept error")
service._initialize_departments = raise_exc
result = await service.connect()

------------------- 3. Large Scale Test Cases -------------------

@pytest.mark.asyncio
async def test_connect_large_scale_concurrent():
"""Test connect under high concurrency (50 parallel calls)."""
logger = DummyLogger()
db_obj = DummyArangoDB()
client = DummyArangoClient(db_obj)
config_service = PatchedConfigurationService(logger, DummyKeyValueStore())
service = BaseArangoService(logger, client, config_service)
results = await asyncio.gather(
*(service.connect() for _ in range(50))
)

@pytest.mark.asyncio
async def test_connect_multiple_services_concurrent():
"""Test multiple BaseArangoService instances connecting concurrently."""
logger = DummyLogger()
db_objs = [DummyArangoDB() for _ in range(10)]
clients = [DummyArangoClient(db) for db in db_objs]
config_service = PatchedConfigurationService(logger, DummyKeyValueStore())
services = [BaseArangoService(logger, client, config_service) for client in clients]
results = await asyncio.gather(*(svc.connect() for svc in services))
for svc, db in zip(services, db_objs):
pass

------------------- 4. Throughput Test Cases -------------------

@pytest.mark.asyncio
async def test_BaseArangoService_connect_throughput_small_load():
"""Throughput test: Connect called 10 times in quick succession."""
logger = DummyLogger()
db_obj = DummyArangoDB()
client = DummyArangoClient(db_obj)
config_service = PatchedConfigurationService(logger, DummyKeyValueStore())
service = BaseArangoService(logger, client, config_service)
results = await asyncio.gather(*(service.connect() for _ in range(10)))

@pytest.mark.asyncio
async def test_BaseArangoService_connect_throughput_medium_load():
"""Throughput test: Connect called 100 times in quick succession."""
logger = DummyLogger()
db_obj = DummyArangoDB()
client = DummyArangoClient(db_obj)
config_service = PatchedConfigurationService(logger, DummyKeyValueStore())
service = BaseArangoService(logger, client, config_service)
results = await asyncio.gather(*(service.connect() for _ in range(100)))

@pytest.mark.asyncio
async def test_BaseArangoService_connect_throughput_high_load():
"""Throughput test: Connect called 200 times in quick succession."""
logger = DummyLogger()
db_obj = DummyArangoDB()
client = DummyArangoClient(db_obj)
config_service = PatchedConfigurationService(logger, DummyKeyValueStore())
service = BaseArangoService(logger, client, config_service)
results = await asyncio.gather(*(service.connect() for _ in range(200)))

@pytest.mark.asyncio
async def test_BaseArangoService_connect_throughput_multiple_instances():
"""Throughput test: 50 service instances connect concurrently."""
logger = DummyLogger()
db_objs = [DummyArangoDB() for _ in range(50)]
clients = [DummyArangoClient(db) for db in db_objs]
config_service = PatchedConfigurationService(logger, DummyKeyValueStore())
services = [BaseArangoService(logger, client, config_service) for client in clients]
results = await asyncio.gather(*(svc.connect() for svc in services))
for svc, db in zip(services, db_objs):
pass

codeflash_output is used to check that the output of the original code is the same as that of the optimized code.

#------------------------------------------------
import asyncio # used to run async functions

--- Function to test (EXACT COPY) ---

(Function code is copied exactly from the user prompt)

import uuid
from typing import Optional

import pytest # used for our unit tests
from app.connectors.services.base_arango_service import BaseArangoService

--- Minimal stubs and mocks for dependencies ---

Mocks for constants

class DummyEnum:
def init(self, value):
self.value = value

Mocks for ArangoDB collections, graphs, and database

class DummyCollection:
def init(self, name):
self.name = name
self._docs = []
def all(self):
return self._docs
def insert_many(self, docs):
self._docs.extend(docs)
def configure(self, schema=None):
pass

class DummyGraph:
def init(self):
self.edge_defs = []
def create_edge_definition(self, **kwargs):
self.edge_defs.append(kwargs)

class DummyDB:
def init(self, collections=None, graphs=None):
self._collections = collections or {}
self._graphs = graphs or set()
self._created = set()
def has_collection(self, name):
return name in self._collections
def create_collection(self, name, edge=False, schema=None):
self._collections[name] = DummyCollection(name)
return self._collections[name]
def collection(self, name):
return self._collections[name]
def has_graph(self, name):
return name in self._graphs
def create_graph(self, name):
self._graphs.add(name)
return DummyGraph()
def str(self):
return f"<DummyDB: {list(self._collections.keys())}>"

class DummySystemDB(DummyDB):
def has_database(self, name):
return name in self._created
def create_database(self, name):
if name in self._created:
raise Exception("duplicate database name")
self._created.add(name)

class DummyArangoClient:
def init(self, system_db=None, dbs=None):
self._system_db = system_db or DummySystemDB()
self._dbs = dbs or {}
def db(self, name, username=None, password=None, verify=None):
if name == "_system":
return self._system_db
if name not in self._dbs:
self._dbs[name] = DummyDB()
return self._dbs[name]

Dummy DepartmentNames for _initialize_departments

class DummyDeptEnum:
def init(self, value):
self.value = value
DepartmentNames = [DummyDeptEnum("DeptA"), DummyDeptEnum("DeptB")]

Dummy GraphNames and LegacyGraphNames

class DummyGraphNames:
KNOWLEDGE_GRAPH = DummyEnum("knowledge_graph")
GraphNames = DummyGraphNames()

Minimal logger mock

class DummyLogger:
def init(self):
self.messages = []
def info(self, msg, *args): self.messages.append(("info", msg % args if args else msg))
def debug(self, msg, *args): self.messages.append(("debug", msg % args if args else msg))
def warning(self, msg, *args): self.messages.append(("warning", msg % args if args else msg))
def error(self, msg, *args): self.messages.append(("error", msg % args if args else msg))

Dummy ConfigurationService

class DummyConfigService:
def init(self, config_result=None, raise_exc=False):
self.config_result = config_result or {
"url": "http://localhost:8529",
"username": "root",
"password": "pass",
"db": "test_db"
}
self.raise_exc = raise_exc
async def get_config(self, key):
if self.raise_exc:
raise Exception("Config error!")
return self.config_result

--- Unit Tests ---

1. Basic Test Cases

@pytest.mark.asyncio
async def test_connect_returns_true_on_success():
"""Test that connect returns True when all dependencies succeed."""
logger = DummyLogger()
config_service = DummyConfigService()
arango_client = DummyArangoClient()
service = BaseArangoService(logger, arango_client, config_service)
result = await service.connect()
# Check that departments were initialized
departments_collection = service._collections["departments"]

@pytest.mark.asyncio
async def test_connect_returns_false_on_config_exception():
"""Test that connect returns False if config_service.get_config raises Exception."""
logger = DummyLogger()
config_service = DummyConfigService(raise_exc=True)
arango_client = DummyArangoClient()
service = BaseArangoService(logger, arango_client, config_service)
result = await service.connect()

@pytest.mark.asyncio
async def test_connect_returns_false_if_client_is_none():
"""Test that connect returns False if the client is None."""
logger = DummyLogger()
config_service = DummyConfigService()
service = BaseArangoService(logger, None, config_service)
result = await service.connect()

@pytest.mark.asyncio
async def test_connect_raises_value_error_for_non_string_url():
"""Test that connect raises ValueError if ArangoDB URL is not a string."""
logger = DummyLogger()
config_service = DummyConfigService(config_result={
"url": 1234, # Not a string
"username": "root",
"password": "pass",
"db": "test_db"
})
arango_client = DummyArangoClient()
service = BaseArangoService(logger, arango_client, config_service)
result = await service.connect()

2. Edge Test Cases

@pytest.mark.asyncio
async def test_connect_handles_duplicate_database_name_exception():
"""Test connect handles duplicate database name exception and continues."""
logger = DummyLogger()
system_db = DummySystemDB()
system_db._created.add("test_db") # Simulate db already exists
arango_client = DummyArangoClient(system_db=system_db)
config_service = DummyConfigService()
service = BaseArangoService(logger, arango_client, config_service)
result = await service.connect()

@pytest.mark.asyncio
async def test_connect_handles_graph_already_exists():
"""Test connect skips graph creation if graph already exists."""
logger = DummyLogger()
arango_client = DummyArangoClient()
# Pre-create the graph in the test db
db = arango_client.db("test_db")
db._graphs.add(GraphNames.KNOWLEDGE_GRAPH.value)
config_service = DummyConfigService()
service = BaseArangoService(logger, arango_client, config_service)
result = await service.connect()

@pytest.mark.asyncio
async def test_connect_concurrent_execution():
"""Test concurrent execution of connect does not cause race conditions."""
logger1 = DummyLogger()
logger2 = DummyLogger()
config_service1 = DummyConfigService()
config_service2 = DummyConfigService()
arango_client1 = DummyArangoClient()
arango_client2 = DummyArangoClient()
service1 = BaseArangoService(logger1, arango_client1, config_service1)
service2 = BaseArangoService(logger2, arango_client2, config_service2)
results = await asyncio.gather(service1.connect(), service2.connect())

@pytest.mark.asyncio
async def test_connect_handles_error_in_initialize_departments():
"""Test connect returns False if _initialize_departments raises Exception."""
class FailingBaseArangoService(BaseArangoService):
async def _initialize_departments(self):
raise Exception("Departments error!")
logger = DummyLogger()
arango_client = DummyArangoClient()
config_service = DummyConfigService()
service = FailingBaseArangoService(logger, arango_client, config_service)
result = None
try:
result = await service.connect()
except Exception:
result = None

3. Large Scale Test Cases

@pytest.mark.asyncio
async def test_connect_multiple_concurrent_calls_large_scale():
"""Test multiple concurrent connect calls for scalability."""
num_services = 20 # Keep under 1000 for speed
loggers = [DummyLogger() for _ in range(num_services)]
config_services = [DummyConfigService() for _ in range(num_services)]
arango_clients = [DummyArangoClient() for _ in range(num_services)]
services = [BaseArangoService(loggers[i], arango_clients[i], config_services[i]) for i in range(num_services)]
results = await asyncio.gather(*(svc.connect() for svc in services))
for svc in services:
pass

@pytest.mark.asyncio
async def test_connect_with_many_departments():
"""Test connect with a large number of departments."""
# Patch DepartmentNames for this test
many_departments = [DummyDeptEnum(f"Dept{i}") for i in range(100)]
global DepartmentNames
old_deptnames = DepartmentNames
DepartmentNames = many_departments
try:
logger = DummyLogger()
config_service = DummyConfigService()
arango_client = DummyArangoClient()
service = BaseArangoService(logger, arango_client, config_service)
result = await service.connect()
departments_collection = service._collections["departments"]
finally:
DepartmentNames = old_deptnames # Restore

4. Throughput Test Cases

@pytest.mark.asyncio
async def test_BaseArangoService_connect_throughput_small_load():
"""Throughput test: small load (5 concurrent connect calls)."""
loggers = [DummyLogger() for _ in range(5)]
config_services = [DummyConfigService() for _ in range(5)]
arango_clients = [DummyArangoClient() for _ in range(5)]
services = [BaseArangoService(loggers[i], arango_clients[i], config_services[i]) for i in range(5)]
results = await asyncio.gather(*(svc.connect() for svc in services))

@pytest.mark.asyncio
async def test_BaseArangoService_connect_throughput_medium_load():
"""Throughput test: medium load (50 concurrent connect calls)."""
loggers = [DummyLogger() for _ in range(50)]
config_services = [DummyConfigService() for _ in range(50)]
arango_clients = [DummyArangoClient() for _ in range(50)]
services = [BaseArangoService(loggers[i], arango_clients[i], config_services[i]) for i in range(50)]
results = await asyncio.gather(*(svc.connect() for svc in services))

@pytest.mark.asyncio
async def test_BaseArangoService_connect_throughput_high_volume():
"""Throughput test: high volume (100 concurrent connect calls)."""
loggers = [DummyLogger() for _ in range(100)]
config_services = [DummyConfigService() for _ in range(100)]
arango_clients = [DummyArangoClient() for _ in range(100)]
services = [BaseArangoService(loggers[i], arango_clients[i], config_services[i]) for i in range(100)]
results = await asyncio.gather(*(svc.connect() for svc in services))

codeflash_output is used to check that the output of the original code is the same as that of the optimized code.

To edit these changes git checkout codeflash/optimize-BaseArangoService.connect-mhxfjcx4 and push.