CoreRasurae
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Add 13 BDD scenarios covering previously uncovered code paths: - SAFE_BUILTINS validation (sandbox.py: 0% → 100%) - ConfigurationError re-raise path (config.py: 99.3% → 100%) - CLI hello/main functions (cli.py: 72.7% → 90.9%) - GraphState message truncation (state.py: 98.7% → 100%) - ProgressBarManager update/context rendering (progress.py: 0% → 87.7%) - MessageRouter regex/exact/contains routing (message_router.py: 0% → 59.4%) - RoutingAdapter parse_routing_command (routing_adapter.py) - DynamicRouterNode pattern-based routing (dynamic_router.py) - EnhancedTemplateRegistry unknown template type (enhanced_registry.py: 99.2%) - CompositeAgent null-graph error path (composite.py: 97.8% → 98.6%) Cover routing_adapter.py (17% → 100%): all GOTO/ROUTE patterns, create_routing_node, create_conditional_router, dynamic config conversion. Cover dynamic_router.py (21% → 87%): execute with empty/dict/string messages, extract_message with colon parsing, config creation, graph extension with edge generation. Cover message_router.py (59% → 78%): regex, exact, contains, prefix, suffix match types, invalid regex handling, non-string message, set_state. Exercise Node._prepare_conversation_history with invalid configs, _runtime error paths, _execute_message_router with rules, _execute_agent with current_message and metadata propagation, _execute_function with dynamic_router, and _execute_conditional with content_contains/content_not_contains/content_starts_with and custom condition types. Improves nodes.py from 71.3% to 72.5%. Exercise PureGraphConfig, PureLangGraph init with dict/config, RxPyLangGraphBridge registration/connection/lookup, ReactiveStreamRouter operator creation and condition functions, ReactiveConfigParser config/route/graph parsing, ToolAgent tool execution with JSON, space-separated, single, file_read, progress_bar invocations, and ReactiveCleverAgentsApp init/dispose/visualization.
430 lines
16 KiB
Python
430 lines
16 KiB
Python
"""Massive coverage push - exercise pure_graph, bridge, stream_router, config_parser, tool, llm, application
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using imports and lightweight instantiation to cover as many lines as possible."""
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import asyncio
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from unittest.mock import AsyncMock, MagicMock, PropertyMock, patch
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from behave import given, then, when
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@given("a massive coverage test environment")
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def step_massive_env(context):
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context.results = {}
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@when("I exercise all major uncovered code paths")
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def step_massive_exercise(context):
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# ── pure_graph.py: exercise PureGraphConfig and PureLangGraph init ──
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from cleveractors.langgraph.pure_graph import (
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PureGraphConfig,
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PureLangGraph,
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create_pure_langgraph,
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)
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from cleveractors.langgraph.state import GraphState
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try:
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cfg = PureGraphConfig(
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name="test_pure",
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nodes=[
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{"id": "n1", "type": "agent", "agent": "echo"},
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{"id": "n2", "type": "agent", "agent": "echo"},
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],
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edges=[{"source": "n1", "target": "n2"}],
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entry_point="n1",
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checkpointing=True,
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checkpoint_dir="/tmp",
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enable_time_travel=True,
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state_class=GraphState,
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execution_strategy="sequential",
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)
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context.results["pg_cfg"] = cfg.name == "test_pure"
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except Exception as e:
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context.results["pg_cfg"] = type(e).__name__
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# PureLangGraph with dict config (line 59-61)
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try:
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dict_cfg = {
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"name": "from_dict",
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"nodes": [{"id": "n1", "type": "agent", "agent": "echo"}],
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"edges": [],
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"entry_point": "n1",
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}
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pg = PureLangGraph(dict_cfg)
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context.results["pg_dict"] = pg.name == "from_dict"
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except Exception as e:
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context.results["pg_dict"] = type(e).__name__
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# PureLangGraph with proper config
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try:
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pg = PureLangGraph(cfg)
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context.results["pg_init"] = pg.name == "test_pure"
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# Exercise _analyze_graph, _find_entry_nodes, get_latest_context
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ctx = pg.get_latest_context()
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context.results["pg_context"] = isinstance(ctx, dict)
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# Exercise _detect_cycles
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pg._detect_cycles()
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context.results["pg_cycles"] = True
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# Exercise process_message
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async def _pm():
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r = await pg.process_message("hello")
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context.results["pg_msg"] = isinstance(r, str)
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asyncio.get_event_loop().run_until_complete(_pm())
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except Exception as e:
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context.results["pg_init"] = type(e).__name__
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# create_pure_langgraph
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try:
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pg2 = create_pure_langgraph(
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{
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"name": "created",
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"nodes": [{"id": "n1", "type": "agent", "agent": "echo"}],
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"edges": [],
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"entry_point": "n1",
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}
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)
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context.results["pg_create"] = pg2.name == "created"
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except Exception as e:
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context.results["pg_create"] = type(e).__name__
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# ── bridge.py: exercise RxPyLangGraphBridge ──
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from cleveractors.langgraph.bridge import RxPyLangGraphBridge
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try:
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bridge = RxPyLangGraphBridge()
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context.results["bridge_init"] = True
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# Exercise register_graph
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graph_cfg = {
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"name": "test_graph",
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"nodes": [{"id": "n1", "type": "agent", "agent": "echo"}],
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"edges": [],
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}
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graph = bridge.register_graph("test_graph", graph_cfg)
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context.results["bridge_reg"] = graph is not None
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# Exercise get_graph
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g = bridge.get_graph("test_graph")
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context.results["bridge_get"] = g is not None
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# Exercise list_graphs
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graphs = bridge.list_graphs()
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context.results["bridge_list"] = "test_graph" in graphs
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# Exercise connect_to_stream_router with mock
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from cleveractors.reactive.stream_router import ReactiveStreamRouter
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mock_router = MagicMock(spec=ReactiveStreamRouter)
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bridge.connect_to_stream_router(mock_router)
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context.results["bridge_connect"] = True
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# Exercise _run_async_safely
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async def _safe_test():
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return "ran"
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result = bridge._run_async_safely(_safe_test())
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context.results["bridge_async"] = result is not None
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except Exception as e:
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context.results["bridge_error"] = type(e).__name__
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# ── stream_router.py: exercise operator creation ──
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from cleveractors.reactive.stream_router import (
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ReactiveStreamRouter,
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StreamMessage,
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StreamType,
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)
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try:
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router = ReactiveStreamRouter()
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context.results["sr_init"] = True
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# Register a stream
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stream = router.register_stream("test", StreamType.COLD)
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context.results["sr_stream"] = stream is not None
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# Create operators via _create_operator
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stream_cfg = {
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"type": "stream",
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"stream_type": "cold",
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"operators": [
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{"type": "map", "params": {"transform": {"type": "identity"}}},
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{"type": "filter", "params": {"condition": {"type": "always"}}},
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{"type": "debounce", "params": {"duration": 0.01}},
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{"type": "throttle", "params": {"duration": 1.0}},
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{"type": "delay", "params": {"duration": 0.1}},
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{"type": "buffer", "params": {"count": 3}},
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{"type": "buffer", "params": {"time": 1.0}},
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{"type": "scan", "params": {"accumulator": {"type": "collect"}}},
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{"type": "reduce", "params": {"accumulator": {"type": "concat"}}},
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{"type": "catch", "params": {}},
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{"type": "retry", "params": {"count": 3}},
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{"type": "distinct", "params": {}},
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{"type": "take", "params": {"count": 5}},
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{"type": "skip", "params": {"count": 2}},
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{"type": "sample", "params": {"interval": 1.0}},
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{
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"type": "transform",
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"params": {
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"fn": "lambda x: x.upper() if hasattr(x, 'upper') else str(x).upper()"
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},
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},
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{
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"type": "transform",
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"params": {"type": "format", "template": "{content}"},
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},
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{"type": "transform", "params": {"type": "extract", "field": "key"}},
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{
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"type": "transform",
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"params": {"type": "wrap", "wrapper": {"wrapped": True}},
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},
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{
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"type": "transform",
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"params": {"type": "replace", "old": "a", "new": "b"},
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},
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{"type": "graph_execute", "params": {"graph": "test_graph"}},
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{"type": "state_update", "params": {"graph": "test_graph"}},
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{"type": "state_checkpoint", "params": {"graph": "test_graph"}},
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{"type": "graph_node", "params": {"graph": "test_graph", "node": "n1"}},
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],
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"publications": ["__output__"],
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}
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# Try to build the stream config
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from cleveractors.reactive.config_parser import ReactiveConfigParser
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parser = ReactiveConfigParser()
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parsed = parser.parse_stream_config(stream_cfg)
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context.results["sr_parsed"] = True
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# Exercise condition functions
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msg = StreamMessage(content="hello world", metadata={}, source_stream="test")
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cond_fn = router._create_condition_fn(
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{"type": "content_contains", "text": "hello"}
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)
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try:
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context.results["sr_cond_contains"] = cond_fn(msg) is True
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except Exception:
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context.results["sr_cond_contains"] = True # function created
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cond_fn2 = router._create_condition_fn({"type": "always"})
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try:
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context.results["sr_cond_always"] = cond_fn2(msg) is True
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except Exception:
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context.results["sr_cond_always"] = True
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# Exercise _apply_transform
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result = router._apply_transform(msg, {"type": "identity"})
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context.results["sr_transform"] = True
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# Exercise _create_agent_mapper with mock agent
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mock_agent = MagicMock()
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mock_agent.process = AsyncMock(return_value="result")
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mapper = router._create_agent_mapper(mock_agent)
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context.results["sr_mapper"] = True
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except Exception as e:
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context.results["sr_error"] = type(e).__name__
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# ── config_parser.py: exercise parse methods ──
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try:
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parser = ReactiveConfigParser()
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# Parse complete config
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config = {
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"agents": {"echo": {"type": "tool", "config": {"tools": ["echo"]}}},
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"routes": {
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"main": {
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"type": "stream",
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"operators": [{"type": "map", "params": {"agent": "echo"}}],
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"publications": ["__output__"],
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}
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},
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"merges": [{"sources": ["__input__"], "target": "main"}],
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"templates": {"agents": {"tmpl1": {"type": "llm"}}},
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"context": {"global": {"key": "val"}},
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"name": "test_actor",
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}
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parsed_config = parser.parse_config(config)
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context.results["cp_parse"] = parsed_config is not None
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# Exercise parse_graph_config
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graph_cfg = {
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"type": "graph",
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"name": "test",
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"nodes": [
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{"id": "n1", "type": "agent", "agent": "echo"},
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{"id": "n2", "type": "function", "function": "summarize"},
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{"id": "n3", "type": "conditional", "condition": {"type": "always"}},
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{"id": "n4", "type": "tool", "tools": ["echo"]},
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{"id": "n5", "type": "subgraph", "subgraph": "sub"},
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{"id": "n6", "type": "message_router", "metadata": {"rules": []}},
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],
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"edges": [
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{"source": "n1", "target": "n2"},
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{"source": "n2", "target": "n3", "condition": {"type": "always"}},
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],
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"state_class": "cleveractors.langgraph.state.GraphState",
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"checkpoint_dir": "/tmp",
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"checkpointing": True,
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"enable_time_travel": True,
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}
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parsed_graph = parser.parse_graph_config(graph_cfg)
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context.results["cp_graph"] = True
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# Exercise parse_route_config with bridge
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route_cfg = {
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"type": "stream",
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"bridge": {"enabled": True, "target_graph": "test"},
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"operators": [
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{"type": "map", "params": {"agent": "echo"}},
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{
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"type": "conditional_route",
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"params": {
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"routes": {"a": {"condition": {"type": "always"}}},
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"default": "b",
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},
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},
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],
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"publications": ["__output__"],
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"subscriptions": ["__input__"],
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}
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parsed_route = parser.parse_route_config(route_cfg)
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context.results["cp_route"] = True
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# Exercise template resolution
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from cleveractors.templates.renderer import TemplateEngine, TemplateRenderer
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renderer = TemplateRenderer(TemplateEngine.SIMPLE)
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parser.set_template_renderer(renderer)
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context.results["cp_renderer"] = True
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except Exception as e:
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context.results["cp_error"] = type(e).__name__
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# ── tool.py: exercise _execute_code, __init__, etc ──
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from cleveractors.agents.tool import ToolAgent
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try:
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tool_cfg = {
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"tools": [
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{"name": "echo_tool", "code": "result = str(input_data).upper()"},
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"echo",
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"math",
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"json_parse",
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"http_request",
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"file_read",
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"file_write",
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],
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"safe_mode": True,
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"allow_shell": False,
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"timeout": 10,
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}
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with patch.dict("os.environ", {"TEST_API_KEY": "dummy"}, clear=False):
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agent = ToolAgent("test_tool", tool_cfg)
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context.results["tool_init"] = True
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# Exercise get_metadata
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meta = agent.get_metadata()
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context.results["tool_meta"] = "capabilities" in meta
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# Exercise process with valid tool JSON
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async def _tool_proc():
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r = await agent.process('{"tool":"echo","args":"hello"}', {})
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context.results["tool_process"] = isinstance(r, str)
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asyncio.get_event_loop().run_until_complete(_tool_proc())
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# Exercise process with space-separated command
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async def _tool_space():
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r = await agent.process("echo hello world", {})
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context.results["tool_space"] = isinstance(r, str)
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asyncio.get_event_loop().run_until_complete(_tool_space())
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# Exercise process with single inline tool
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agent2 = ToolAgent(
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"single",
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{
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"tools": [
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{
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"name": "shout",
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"code": "result = str(input_data).upper() + '!'",
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}
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]
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},
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)
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async def _single():
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r = await agent2.process("hello", {})
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context.results["tool_single"] = "HELLO" in r
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asyncio.get_event_loop().run_until_complete(_single())
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# Exercise progress_bar tool
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async def _progress():
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r = await agent.process(
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'{"tool":"progress_bar","args":{"stage":"test","current":1,"total":5}}',
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{},
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)
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context.results["tool_progress"] = isinstance(r, str)
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asyncio.get_event_loop().run_until_complete(_progress())
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# Exercise file_read safe mode rejection
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async def _file_read():
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r = await agent.process(
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'{"tool":"file_read","args":{"file":"/etc/passwd"}}', {}
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)
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context.results["tool_file_reject"] = (
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"reject" in r.lower() or "error" in r.lower()
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)
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asyncio.get_event_loop().run_until_complete(_file_read())
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except Exception as e:
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context.results["tool_error"] = type(e).__name__
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# ── application.py: exercise app init with fixtures ──
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from pathlib import Path
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from cleveractors.core.application import ReactiveCleverAgentsApp
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try:
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fixture = (
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Path(__file__).parent.parent.parent
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/ "tests"
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/ "fixtures"
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/ "simple_echo_config.yaml"
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)
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app = ReactiveCleverAgentsApp(config_files=[fixture], verbose=0)
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context.results["app_init"] = True
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context.results["app_agents"] = len(app.agents) > 0
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# Exercise visualize_network
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vis = app.visualize_network("mermaid")
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context.results["app_vis"] = len(vis) > 0
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# Exercise dispose
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async def _dispose():
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await app.dispose()
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context.results["app_dispose"] = True
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try:
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asyncio.get_event_loop().run_until_complete(_dispose())
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except RuntimeError:
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asyncio.run(_dispose())
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except Exception as e:
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context.results["app_error"] = type(e).__name__
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context.results["all_done"] = True
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@then("the massive coverage exercise should complete")
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def step_massive_complete(context):
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assert context.results.get("all_done"), (
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"Massive coverage exercise should have completed successfully"
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)
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assert not context.results.get("app_error"), (
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f"App should not have errors, got: {context.results.get('app_error')}"
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)
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