feat(dataflows): add vendor registry pattern for extensible data vendor routing - Fixes #11

Implements [DATA-10] Interface routing - add new data vendors with:
- VendorRegistry: Thread-safe singleton for centralized vendor registration
- VendorCapability enum: STOCK_DATA, FUNDAMENTALS, NEWS, MACROECONOMIC, etc.
- BaseVendor ABC: 3-stage lifecycle (transform_query, extract_data, transform_data)
- SimpleVendor: Wrapper for migrating existing vendor functions
- Decorators: @register_vendor, @vendor_method, @rate_limited, @with_retry, @cache_result
- RateLimiter: Thread-safe sliding window rate limiting
- 84 tests covering registry, base vendor, and decorators

Files:
- tradingagents/dataflows/vendor_registry.py (253 lines)
- tradingagents/dataflows/base_vendor.py (222 lines)
- tradingagents/dataflows/vendor_decorators.py (188 lines)
- tests/unit/dataflows/test_vendor_registry.py (30 tests)
- tests/unit/dataflows/test_base_vendor.py (27 tests)
- tests/unit/dataflows/test_vendor_decorators.py (27 tests)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
Andrew Kaszubski 2025-12-26 16:47:41 +11:00
parent bbd85c91b6
commit 2c802647e4
6 changed files with 2239 additions and 0 deletions

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"""Tests for BaseVendor abstract class.
Issue #11: [DATA-10] Interface routing - add new data vendors
"""
import pytest
import time
import threading
from typing import Dict, Any
from unittest.mock import Mock, patch
from tradingagents.dataflows.base_vendor import (
BaseVendor,
SimpleVendor,
VendorResponse,
)
pytestmark = pytest.mark.unit
class ConcreteVendor(BaseVendor):
"""Concrete implementation for testing."""
def __init__(self, **kwargs):
super().__init__(**kwargs)
self._vendor_name = "test_vendor"
@property
def name(self) -> str:
return self._vendor_name
def _transform_query(self, method: str, **kwargs) -> Dict[str, Any]:
return {"method": method, **kwargs}
def _extract_data(self, method: str, query: Dict[str, Any]) -> Any:
return {"raw": "data", "query": query}
def _transform_data(self, method: str, raw_data: Any, query: Dict[str, Any]) -> Any:
return {"transformed": raw_data}
class TestVendorResponse:
"""Tests for VendorResponse dataclass."""
def test_default_values(self):
"""Test default values are set correctly."""
response = VendorResponse()
assert response.data is None
assert response.success is True
assert response.vendor_name == ""
assert response.method_name == ""
assert response.execution_time_ms == 0.0
assert response.error_message == ""
assert response.metadata == {}
def test_custom_values(self):
"""Test custom values are preserved."""
response = VendorResponse(
data={"test": "data"},
success=True,
vendor_name="yfinance",
method_name="get_stock",
execution_time_ms=150.5,
metadata={"source": "api"}
)
assert response.data == {"test": "data"}
assert response.vendor_name == "yfinance"
assert response.method_name == "get_stock"
assert response.execution_time_ms == 150.5
def test_failure_response(self):
"""Test failed response."""
response = VendorResponse(
success=False,
error_message="API Error"
)
assert response.success is False
assert response.error_message == "API Error"
def test_is_empty_with_none(self):
"""Test is_empty returns True for None data."""
response = VendorResponse(data=None)
assert response.is_empty is True
def test_is_empty_with_empty_list(self):
"""Test is_empty returns True for empty list."""
response = VendorResponse(data=[])
assert response.is_empty is True
def test_is_empty_with_empty_dict(self):
"""Test is_empty returns True for empty dict."""
response = VendorResponse(data={})
assert response.is_empty is True
def test_is_empty_with_empty_string(self):
"""Test is_empty returns True for empty string."""
response = VendorResponse(data="")
assert response.is_empty is True
def test_is_empty_with_data(self):
"""Test is_empty returns False when data exists."""
response = VendorResponse(data={"test": "data"})
assert response.is_empty is False
class TestBaseVendorAbstract:
"""Tests for BaseVendor abstract method enforcement."""
def test_cannot_instantiate_base_vendor(self):
"""Test that BaseVendor cannot be instantiated directly."""
with pytest.raises(TypeError):
BaseVendor()
def test_can_instantiate_concrete_vendor(self):
"""Test that concrete implementation can be instantiated."""
vendor = ConcreteVendor()
assert vendor is not None
assert vendor.name == "test_vendor"
class TestBaseVendorConfiguration:
"""Tests for BaseVendor configuration."""
def test_default_configuration(self):
"""Test default configuration values."""
vendor = ConcreteVendor()
assert vendor._max_retries == 3
assert vendor._retry_delay == 1.0
assert vendor._retry_backoff == 2.0
assert vendor._timeout is None
def test_custom_configuration(self):
"""Test custom configuration values."""
vendor = ConcreteVendor(
max_retries=5,
retry_delay=0.5,
retry_backoff=3.0,
timeout=30.0
)
assert vendor._max_retries == 5
assert vendor._retry_delay == 0.5
assert vendor._retry_backoff == 3.0
assert vendor._timeout == 30.0
class TestBaseVendorExecution:
"""Tests for BaseVendor execute method."""
def test_successful_execution(self):
"""Test successful execution returns VendorResponse."""
vendor = ConcreteVendor()
response = vendor.execute("get_data", ticker="AAPL")
assert isinstance(response, VendorResponse)
assert response.success is True
assert response.vendor_name == "test_vendor"
assert response.method_name == "get_data"
assert response.execution_time_ms > 0
def test_execution_increments_call_count(self):
"""Test that execute increments call count."""
vendor = ConcreteVendor()
assert vendor.call_count == 0
vendor.execute("method1")
assert vendor.call_count == 1
vendor.execute("method2")
assert vendor.call_count == 2
def test_call_count_thread_safe(self):
"""Test that call_count is thread-safe."""
vendor = ConcreteVendor()
errors = []
def execute_many():
try:
for _ in range(100):
vendor.execute("test")
except Exception as e:
errors.append(e)
threads = [threading.Thread(target=execute_many) for _ in range(5)]
for t in threads:
t.start()
for t in threads:
t.join()
assert len(errors) == 0
assert vendor.call_count == 500
class TestBaseVendorRetry:
"""Tests for BaseVendor retry logic."""
def test_retry_on_connection_error(self):
"""Test retry on connection error."""
attempt_count = [0]
class RetryVendor(ConcreteVendor):
def _extract_data(self, method, query):
attempt_count[0] += 1
if attempt_count[0] < 3:
raise ConnectionError("Network error")
return {"data": "success"}
vendor = RetryVendor(retry_delay=0.01)
response = vendor.execute("test")
assert attempt_count[0] == 3
assert response.success is True
def test_no_retry_on_value_error(self):
"""Test no retry on non-retryable error."""
class NoRetryVendor(ConcreteVendor):
def _extract_data(self, method, query):
raise ValueError("Invalid input")
vendor = NoRetryVendor(retry_delay=0.01)
response = vendor.execute("test")
assert response.success is False
assert "Invalid input" in response.error_message
def test_max_retries_exhausted(self):
"""Test that max retries is respected."""
attempt_count = [0]
class AlwaysFailVendor(ConcreteVendor):
def _extract_data(self, method, query):
attempt_count[0] += 1
raise ConnectionError("Network error")
vendor = AlwaysFailVendor(max_retries=3, retry_delay=0.01)
response = vendor.execute("test")
assert attempt_count[0] == 4 # 1 initial + 3 retries
assert response.success is False
class TestBaseVendorStatistics:
"""Tests for BaseVendor statistics."""
def test_error_rate_calculation(self):
"""Test error rate calculation."""
class MixedVendor(ConcreteVendor):
def __init__(self, **kwargs):
super().__init__(**kwargs)
self._fail_count = 0
def _extract_data(self, method, query):
self._fail_count += 1
if self._fail_count <= 2:
raise ValueError("Error")
return {"data": "success"}
vendor = MixedVendor(max_retries=0, retry_delay=0.01)
# 2 failures
vendor.execute("test")
vendor.execute("test")
# 1 success
vendor.execute("test")
# 2 errors out of 3 = 66.67%
assert 66 < vendor.error_rate < 67
def test_reset_stats(self):
"""Test reset_stats clears counters."""
vendor = ConcreteVendor()
vendor.execute("test")
vendor.execute("test")
assert vendor.call_count == 2
vendor.reset_stats()
assert vendor.call_count == 0
assert vendor.error_rate == 0.0
class TestSimpleVendor:
"""Tests for SimpleVendor wrapper class."""
def test_simple_vendor_creation(self):
"""Test creating a SimpleVendor."""
mock_func = Mock(return_value={"data": "test"})
vendor = SimpleVendor(
vendor_name="test",
methods={"get_data": mock_func}
)
assert vendor.name == "test"
def test_simple_vendor_execution(self):
"""Test executing a SimpleVendor method."""
mock_func = Mock(return_value={"data": "test"})
vendor = SimpleVendor(
vendor_name="test",
methods={"get_data": mock_func}
)
response = vendor.execute("get_data", ticker="AAPL")
assert response.success is True
assert response.data == {"data": "test"}
mock_func.assert_called_once_with(ticker="AAPL")
def test_simple_vendor_missing_method(self):
"""Test SimpleVendor with missing method."""
vendor = SimpleVendor(
vendor_name="test",
methods={}
)
response = vendor.execute("nonexistent")
assert response.success is False
assert "not found" in response.error_message
def test_simple_vendor_add_method(self):
"""Test adding a method to SimpleVendor."""
vendor = SimpleVendor(
vendor_name="test",
methods={}
)
mock_func = Mock(return_value="result")
vendor.add_method("new_method", mock_func)
response = vendor.execute("new_method")
assert response.success is True
assert response.data == "result"
def test_simple_vendor_get_methods(self):
"""Test getting list of methods."""
vendor = SimpleVendor(
vendor_name="test",
methods={
"method1": Mock(),
"method2": Mock(),
"method3": Mock()
}
)
methods = vendor.get_methods()
assert len(methods) == 3
assert "method1" in methods
assert "method2" in methods
assert "method3" in methods
class TestVendorLifecycle:
"""Tests for 3-stage vendor lifecycle."""
def test_lifecycle_order(self):
"""Test that lifecycle stages execute in order."""
call_order = []
class OrderVendor(BaseVendor):
@property
def name(self):
return "order_test"
def _transform_query(self, method, **kwargs):
call_order.append("transform_query")
return kwargs
def _extract_data(self, method, query):
call_order.append("extract_data")
return {"raw": True}
def _transform_data(self, method, raw_data, query):
call_order.append("transform_data")
return raw_data
vendor = OrderVendor()
vendor.execute("test")
assert call_order == ["transform_query", "extract_data", "transform_data"]
def test_query_passed_to_extract(self):
"""Test that transformed query is passed to extract."""
class QueryVendor(BaseVendor):
@property
def name(self):
return "query_test"
def _transform_query(self, method, **kwargs):
return {"ticker": kwargs.get("ticker", "").upper()}
def _extract_data(self, method, query):
return {"symbol": query["ticker"]}
def _transform_data(self, method, raw_data, query):
return raw_data
vendor = QueryVendor()
response = vendor.execute("test", ticker="aapl")
assert response.data["symbol"] == "AAPL"
def test_raw_data_passed_to_transform(self):
"""Test that raw data is passed to transform."""
class TransformVendor(BaseVendor):
@property
def name(self):
return "transform_test"
def _transform_query(self, method, **kwargs):
return kwargs
def _extract_data(self, method, query):
return {"raw_value": 42}
def _transform_data(self, method, raw_data, query):
return {"processed": raw_data["raw_value"] * 2}
vendor = TransformVendor()
response = vendor.execute("test")
assert response.data["processed"] == 84

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"""Tests for vendor decorators.
Issue #11: [DATA-10] Interface routing - add new data vendors
"""
import pytest
import time
import threading
from unittest.mock import Mock
from tradingagents.dataflows.vendor_registry import (
VendorCapability,
VendorMetadata,
VendorRegistry,
)
from tradingagents.dataflows.vendor_decorators import (
register_vendor,
vendor_method,
rate_limited,
with_retry,
cache_result,
RateLimiter,
get_rate_limiter,
)
pytestmark = pytest.mark.unit
@pytest.fixture(autouse=True)
def reset_registry():
"""Reset the singleton registry before each test."""
VendorRegistry.reset_instance()
yield
VendorRegistry.reset_instance()
class TestRegisterVendorDecorator:
"""Tests for @register_vendor decorator."""
def test_register_vendor_basic(self):
"""Test basic vendor registration with decorator."""
@register_vendor(
name="test_vendor",
capabilities={VendorCapability.STOCK_DATA},
priority=10
)
class TestVendor:
pass
assert hasattr(TestVendor, '_vendor_metadata')
assert TestVendor._vendor_name == "test_vendor"
def test_register_vendor_adds_to_registry(self):
"""Test that decorator adds vendor to registry."""
@register_vendor(
name="registered_vendor",
capabilities={VendorCapability.STOCK_DATA}
)
class RegisteredVendor:
pass
registry = VendorRegistry()
assert registry.get_vendor("registered_vendor") is not None
def test_register_vendor_with_multiple_capabilities(self):
"""Test registering vendor with multiple capabilities."""
@register_vendor(
name="multi_vendor",
capabilities={
VendorCapability.STOCK_DATA,
VendorCapability.FUNDAMENTALS,
VendorCapability.NEWS
}
)
class MultiVendor:
pass
registry = VendorRegistry()
vendor = registry.get_vendor("multi_vendor")
assert len(vendor.capabilities) == 3
def test_register_vendor_preserves_class_methods(self):
"""Test that decorator preserves class methods."""
@register_vendor(
name="method_vendor",
capabilities={VendorCapability.STOCK_DATA}
)
class MethodVendor:
def fetch_data(self):
return "data"
vendor = MethodVendor()
assert vendor.fetch_data() == "data"
class TestVendorMethodDecorator:
"""Tests for @vendor_method decorator."""
def test_vendor_method_basic(self):
"""Test basic method mapping."""
class TestVendor:
@vendor_method("get_stock_data")
def fetch_stock(self, ticker):
return f"Stock: {ticker}"
vendor = TestVendor()
result = vendor.fetch_stock("AAPL")
assert result == "Stock: AAPL"
assert vendor.fetch_stock._vendor_method_name == "get_stock_data"
def test_vendor_method_with_vendor_name(self):
"""Test vendor_method with explicit vendor name."""
# Register the vendor first
registry = VendorRegistry()
registry.register_vendor(VendorMetadata(name="yfinance"))
@vendor_method("get_stock", vendor_name="yfinance")
def get_yfinance_stock(ticker):
return f"YF: {ticker}"
# Method should be registered
method = registry.get_method("yfinance", "get_stock")
assert method is not None
def test_vendor_method_preserves_function(self):
"""Test that decorator preserves function behavior."""
class TestVendor:
@vendor_method("get_data")
def fetch_data(self, ticker, start_date=None):
return {"ticker": ticker, "start": start_date}
vendor = TestVendor()
result = vendor.fetch_data("AAPL", start_date="2024-01-01")
assert result["ticker"] == "AAPL"
assert result["start"] == "2024-01-01"
class TestRateLimiter:
"""Tests for RateLimiter class."""
def test_rate_limiter_allows_calls_under_limit(self):
"""Test that calls under limit are allowed."""
limiter = RateLimiter(max_calls=5, period_seconds=60)
for _ in range(5):
assert limiter.acquire() is True
def test_rate_limiter_blocks_over_limit(self):
"""Test that calls over limit are blocked."""
limiter = RateLimiter(max_calls=3, period_seconds=60)
# Use all slots
for _ in range(3):
limiter.acquire()
# 4th call should be blocked
assert limiter.acquire() is False
def test_rate_limiter_wait_time(self):
"""Test wait_time calculation."""
limiter = RateLimiter(max_calls=2, period_seconds=60)
# Fill up the slots
limiter.acquire()
limiter.acquire()
# Should have positive wait time
wait = limiter.wait_time()
assert wait > 0
assert wait <= 60
def test_rate_limiter_reset(self):
"""Test reset clears the limiter."""
limiter = RateLimiter(max_calls=2, period_seconds=60)
limiter.acquire()
limiter.acquire()
assert limiter.acquire() is False
limiter.reset()
assert limiter.acquire() is True
class TestRateLimitedDecorator:
"""Tests for @rate_limited decorator."""
def test_rate_limited_allows_calls_under_limit(self):
"""Test that calls under limit succeed."""
call_count = [0]
@rate_limited(max_calls=5, period_seconds=60)
def limited_func():
call_count[0] += 1
return "success"
for _ in range(5):
result = limited_func()
assert result == "success"
assert call_count[0] == 5
def test_rate_limited_blocks_over_limit(self):
"""Test that calls over limit raise error."""
@rate_limited(max_calls=2, period_seconds=60)
def limited_func():
return "success"
limited_func()
limited_func()
with pytest.raises(RuntimeError, match="Rate limit exceeded"):
limited_func()
def test_rate_limited_custom_exception(self):
"""Test rate limiting with custom exception class."""
class CustomRateLimitError(Exception):
pass
@rate_limited(
max_calls=1,
period_seconds=60,
exception_class=CustomRateLimitError
)
def limited_func():
return "success"
limited_func()
with pytest.raises(CustomRateLimitError):
limited_func()
class TestWithRetryDecorator:
"""Tests for @with_retry decorator."""
def test_retry_on_retryable_error(self):
"""Test retry on retryable exceptions."""
attempt_count = [0]
@with_retry(max_retries=3, retry_delay=0.01)
def failing_func():
attempt_count[0] += 1
if attempt_count[0] < 3:
raise ConnectionError("Network error")
return "success"
result = failing_func()
assert result == "success"
assert attempt_count[0] == 3
def test_no_retry_on_non_retryable_error(self):
"""Test no retry on non-retryable exceptions."""
attempt_count = [0]
@with_retry(
max_retries=3,
retry_delay=0.01,
retryable_exceptions=(ConnectionError,)
)
def failing_func():
attempt_count[0] += 1
raise ValueError("Not retryable")
with pytest.raises(ValueError):
failing_func()
assert attempt_count[0] == 1
def test_retry_exhausted(self):
"""Test exception raised after max retries."""
@with_retry(max_retries=2, retry_delay=0.01)
def always_fails():
raise ConnectionError("Always fails")
with pytest.raises(ConnectionError):
always_fails()
class TestCacheResultDecorator:
"""Tests for @cache_result decorator."""
def test_cache_returns_cached_value(self):
"""Test that cached value is returned."""
call_count = [0]
@cache_result(ttl_seconds=300)
def expensive_func(key):
call_count[0] += 1
return f"value_{key}"
# First call
result1 = expensive_func("test")
# Second call (should use cache)
result2 = expensive_func("test")
assert result1 == result2
assert call_count[0] == 1
def test_cache_different_keys(self):
"""Test that different keys have different cache entries."""
call_count = [0]
@cache_result(ttl_seconds=300)
def expensive_func(key):
call_count[0] += 1
return f"value_{key}"
result1 = expensive_func("key1")
result2 = expensive_func("key2")
assert result1 != result2
assert call_count[0] == 2
def test_cache_clear(self):
"""Test clearing the cache."""
call_count = [0]
@cache_result(ttl_seconds=300)
def expensive_func(key):
call_count[0] += 1
return f"value_{key}"
expensive_func("test")
expensive_func.clear_cache()
expensive_func("test")
assert call_count[0] == 2
def test_cache_info(self):
"""Test cache info method."""
@cache_result(ttl_seconds=60, max_size=100)
def cached_func(key):
return key
cached_func("test1")
cached_func("test2")
info = cached_func.cache_info()
assert info["size"] == 2
assert info["max_size"] == 100
assert info["ttl_seconds"] == 60
class TestDecoratorStacking:
"""Tests for stacking multiple decorators."""
def test_register_and_method_decorators(self):
"""Test stacking @register_vendor and @vendor_method."""
@register_vendor(
name="stacked_vendor",
capabilities={VendorCapability.STOCK_DATA}
)
class StackedVendor:
@vendor_method("get_stock_data")
def fetch_stock(self, ticker):
return f"Stock: {ticker}"
vendor = StackedVendor()
# Vendor should be registered
registry = VendorRegistry()
assert registry.get_vendor("stacked_vendor") is not None
# Method should work
result = vendor.fetch_stock("AAPL")
assert result == "Stock: AAPL"
def test_method_with_rate_limit(self):
"""Test stacking @vendor_method with @rate_limited."""
call_count = [0]
class TestVendor:
@vendor_method("get_data")
@rate_limited(max_calls=3, period_seconds=60)
def fetch_data(self):
call_count[0] += 1
return "data"
vendor = TestVendor()
# Should work 3 times
for _ in range(3):
vendor.fetch_data()
# 4th should fail
with pytest.raises(RuntimeError):
vendor.fetch_data()
assert call_count[0] == 3
class TestGetRateLimiter:
"""Tests for get_rate_limiter function."""
def test_returns_same_limiter_for_same_params(self):
"""Test that same params return same limiter."""
limiter1 = get_rate_limiter("vendor", 5, 60)
limiter2 = get_rate_limiter("vendor", 5, 60)
assert limiter1 is limiter2
def test_returns_different_limiter_for_different_vendor(self):
"""Test that different vendors get different limiters."""
limiter1 = get_rate_limiter("vendor1", 5, 60)
limiter2 = get_rate_limiter("vendor2", 5, 60)
assert limiter1 is not limiter2
def test_returns_different_limiter_for_different_params(self):
"""Test that different params get different limiters."""
limiter1 = get_rate_limiter("vendor", 5, 60)
limiter2 = get_rate_limiter("vendor", 10, 60)
assert limiter1 is not limiter2

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"""Tests for VendorRegistry.
Issue #11: [DATA-10] Interface routing - add new data vendors
"""
import pytest
import threading
from unittest.mock import Mock
from tradingagents.dataflows.vendor_registry import (
VendorCapability,
VendorMetadata,
VendorRegistry,
get_registry,
register_vendor,
register_method,
)
pytestmark = pytest.mark.unit
@pytest.fixture(autouse=True)
def reset_registry():
"""Reset the singleton registry before each test."""
VendorRegistry.reset_instance()
yield
VendorRegistry.reset_instance()
class TestVendorMetadata:
"""Tests for VendorMetadata dataclass."""
def test_default_values(self):
"""Test default values are set correctly."""
metadata = VendorMetadata(name="test")
assert metadata.name == "test"
assert metadata.priority == 100
assert metadata.capabilities == set()
assert metadata.rate_limit_exception is None
assert metadata.description == ""
assert metadata.enabled is True
def test_custom_values(self):
"""Test custom values are preserved."""
metadata = VendorMetadata(
name="yfinance",
priority=10,
capabilities={VendorCapability.STOCK_DATA},
description="Yahoo Finance vendor"
)
assert metadata.name == "yfinance"
assert metadata.priority == 10
assert VendorCapability.STOCK_DATA in metadata.capabilities
assert metadata.description == "Yahoo Finance vendor"
def test_hash(self):
"""Test VendorMetadata is hashable by name."""
m1 = VendorMetadata(name="vendor1")
m2 = VendorMetadata(name="vendor1", priority=50)
assert hash(m1) == hash(m2)
def test_equality(self):
"""Test VendorMetadata equality is by name."""
m1 = VendorMetadata(name="vendor1", priority=10)
m2 = VendorMetadata(name="vendor1", priority=50)
m3 = VendorMetadata(name="vendor2")
assert m1 == m2
assert m1 != m3
def test_equality_with_non_metadata(self):
"""Test equality with non-VendorMetadata objects."""
metadata = VendorMetadata(name="test")
assert metadata != "test"
assert metadata != {"name": "test"}
class TestVendorRegistry:
"""Tests for VendorRegistry singleton."""
def test_singleton_pattern(self):
"""Test that VendorRegistry is a singleton."""
r1 = VendorRegistry()
r2 = VendorRegistry()
assert r1 is r2
def test_get_registry_returns_singleton(self):
"""Test get_registry returns same instance."""
r1 = get_registry()
r2 = VendorRegistry()
assert r1 is r2
def test_reset_instance(self):
"""Test reset_instance creates new singleton."""
r1 = VendorRegistry()
VendorRegistry.reset_instance()
r2 = VendorRegistry()
assert r1 is not r2
def test_register_vendor(self):
"""Test registering a vendor."""
registry = VendorRegistry()
metadata = VendorMetadata(
name="yfinance",
capabilities={VendorCapability.STOCK_DATA}
)
registry.register_vendor(metadata)
result = registry.get_vendor("yfinance")
assert result is not None
assert result.name == "yfinance"
def test_register_vendor_empty_name_raises(self):
"""Test registering vendor with empty name raises ValueError."""
registry = VendorRegistry()
with pytest.raises(ValueError, match="cannot be empty"):
registry.register_vendor(VendorMetadata(name=""))
def test_unregister_vendor(self):
"""Test unregistering a vendor."""
registry = VendorRegistry()
metadata = VendorMetadata(name="test_vendor")
registry.register_vendor(metadata)
assert registry.unregister_vendor("test_vendor") is True
assert registry.get_vendor("test_vendor") is None
def test_unregister_nonexistent_vendor(self):
"""Test unregistering non-existent vendor returns False."""
registry = VendorRegistry()
assert registry.unregister_vendor("nonexistent") is False
def test_get_all_vendors_sorted_by_priority(self):
"""Test get_all_vendors returns vendors sorted by priority."""
registry = VendorRegistry()
registry.register_vendor(VendorMetadata(name="low", priority=100))
registry.register_vendor(VendorMetadata(name="high", priority=10))
registry.register_vendor(VendorMetadata(name="medium", priority=50))
vendors = registry.get_all_vendors()
assert [v.name for v in vendors] == ["high", "medium", "low"]
def test_get_vendors_for_capability(self):
"""Test getting vendors by capability."""
registry = VendorRegistry()
registry.register_vendor(VendorMetadata(
name="yfinance",
capabilities={VendorCapability.STOCK_DATA, VendorCapability.FUNDAMENTALS}
))
registry.register_vendor(VendorMetadata(
name="alpha_vantage",
capabilities={VendorCapability.STOCK_DATA}
))
stock_vendors = registry.get_vendors_for_capability(VendorCapability.STOCK_DATA)
assert len(stock_vendors) == 2
fundamental_vendors = registry.get_vendors_for_capability(VendorCapability.FUNDAMENTALS)
assert len(fundamental_vendors) == 1
assert fundamental_vendors[0].name == "yfinance"
def test_get_vendors_for_capability_only_enabled(self):
"""Test only enabled vendors are returned by default."""
registry = VendorRegistry()
registry.register_vendor(VendorMetadata(
name="enabled_vendor",
capabilities={VendorCapability.STOCK_DATA}
))
registry.register_vendor(VendorMetadata(
name="disabled_vendor",
capabilities={VendorCapability.STOCK_DATA},
enabled=False
))
vendors = registry.get_vendors_for_capability(VendorCapability.STOCK_DATA)
assert len(vendors) == 1
assert vendors[0].name == "enabled_vendor"
all_vendors = registry.get_vendors_for_capability(
VendorCapability.STOCK_DATA,
only_enabled=False
)
assert len(all_vendors) == 2
class TestVendorRegistryMethods:
"""Tests for method registration in VendorRegistry."""
def test_register_method(self):
"""Test registering a method for a vendor."""
registry = VendorRegistry()
registry.register_vendor(VendorMetadata(name="yfinance"))
mock_func = Mock()
registry.register_method("yfinance", "get_stock", mock_func)
result = registry.get_method("yfinance", "get_stock")
assert result is mock_func
def test_register_method_unregistered_vendor_raises(self):
"""Test registering method for unregistered vendor raises."""
registry = VendorRegistry()
with pytest.raises(ValueError, match="not registered"):
registry.register_method("nonexistent", "method", Mock())
def test_register_method_empty_name_raises(self):
"""Test registering method with empty name raises."""
registry = VendorRegistry()
registry.register_vendor(VendorMetadata(name="test"))
with pytest.raises(ValueError, match="cannot be empty"):
registry.register_method("test", "", Mock())
def test_get_method_nonexistent(self):
"""Test getting non-existent method returns None."""
registry = VendorRegistry()
registry.register_vendor(VendorMetadata(name="test"))
assert registry.get_method("test", "nonexistent") is None
def test_get_methods_for_vendor(self):
"""Test getting all methods for a vendor."""
registry = VendorRegistry()
registry.register_vendor(VendorMetadata(name="yfinance"))
func1 = Mock()
func2 = Mock()
registry.register_method("yfinance", "get_stock", func1)
registry.register_method("yfinance", "get_fundamentals", func2)
methods = registry.get_methods_for_vendor("yfinance")
assert len(methods) == 2
assert methods["get_stock"] is func1
assert methods["get_fundamentals"] is func2
def test_get_methods_for_unregistered_vendor(self):
"""Test getting methods for unregistered vendor returns empty dict."""
registry = VendorRegistry()
assert registry.get_methods_for_vendor("nonexistent") == {}
class TestVendorRegistryVendorControl:
"""Tests for vendor enable/disable and priority control."""
def test_set_vendor_enabled(self):
"""Test enabling/disabling a vendor."""
registry = VendorRegistry()
registry.register_vendor(VendorMetadata(name="test", enabled=True))
assert registry.set_vendor_enabled("test", False) is True
assert registry.get_vendor("test").enabled is False
assert registry.set_vendor_enabled("test", True) is True
assert registry.get_vendor("test").enabled is True
def test_set_vendor_enabled_nonexistent(self):
"""Test setting enabled on non-existent vendor."""
registry = VendorRegistry()
assert registry.set_vendor_enabled("nonexistent", True) is False
def test_set_vendor_priority(self):
"""Test updating vendor priority."""
registry = VendorRegistry()
registry.register_vendor(VendorMetadata(name="test", priority=100))
assert registry.set_vendor_priority("test", 10) is True
assert registry.get_vendor("test").priority == 10
def test_set_vendor_priority_nonexistent(self):
"""Test setting priority on non-existent vendor."""
registry = VendorRegistry()
assert registry.set_vendor_priority("nonexistent", 10) is False
def test_clear(self):
"""Test clearing all registrations."""
registry = VendorRegistry()
registry.register_vendor(VendorMetadata(
name="test",
capabilities={VendorCapability.STOCK_DATA}
))
registry.register_method("test", "method", Mock())
registry.clear()
assert registry.get_vendor("test") is None
assert len(registry.get_all_vendors()) == 0
class TestVendorRegistryThreadSafety:
"""Tests for thread safety of VendorRegistry."""
def test_concurrent_registration(self):
"""Test concurrent vendor registration is thread-safe."""
registry = VendorRegistry()
errors = []
def register_vendor(i):
try:
registry.register_vendor(VendorMetadata(
name=f"vendor_{i}",
capabilities={VendorCapability.STOCK_DATA}
))
except Exception as e:
errors.append(e)
threads = [threading.Thread(target=register_vendor, args=(i,)) for i in range(50)]
for t in threads:
t.start()
for t in threads:
t.join()
assert len(errors) == 0
assert len(registry.get_all_vendors()) == 50
def test_concurrent_method_registration(self):
"""Test concurrent method registration is thread-safe."""
registry = VendorRegistry()
registry.register_vendor(VendorMetadata(name="test"))
errors = []
def register_method(i):
try:
registry.register_method("test", f"method_{i}", Mock())
except Exception as e:
errors.append(e)
threads = [threading.Thread(target=register_method, args=(i,)) for i in range(50)]
for t in threads:
t.start()
for t in threads:
t.join()
assert len(errors) == 0
assert len(registry.get_methods_for_vendor("test")) == 50
class TestModuleFunctions:
"""Tests for module-level convenience functions."""
def test_register_vendor_function(self):
"""Test module-level register_vendor function."""
metadata = VendorMetadata(name="module_test")
register_vendor(metadata)
registry = get_registry()
assert registry.get_vendor("module_test") is not None
def test_register_method_function(self):
"""Test module-level register_method function."""
metadata = VendorMetadata(name="method_test")
register_vendor(metadata)
mock_func = Mock()
register_method("method_test", "test_method", mock_func)
registry = get_registry()
assert registry.get_method("method_test", "test_method") is mock_func

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"""Base vendor abstract class for data provider implementations.
This module provides the abstract base class that all data vendors must inherit from,
implementing a 3-stage data pipeline: transform_query extract_data transform_data.
Issue #11: [DATA-10] Interface routing - add new data vendors
"""
from abc import ABC, abstractmethod
from dataclasses import dataclass, field
from datetime import datetime
from typing import Any, Dict, List, Optional, TypeVar, Generic
import threading
import time
import logging
logger = logging.getLogger(__name__)
T = TypeVar('T')
@dataclass
class VendorResponse(Generic[T]):
"""Standardized response from vendor data operations.
Attributes:
data: The extracted data
success: Whether the operation succeeded
vendor_name: Name of the vendor that provided the data
method_name: Name of the method called
execution_time_ms: Time taken in milliseconds
error_message: Error message if operation failed
metadata: Additional metadata about the response
"""
data: Optional[T] = None
success: bool = True
vendor_name: str = ""
method_name: str = ""
execution_time_ms: float = 0.0
error_message: str = ""
metadata: Dict[str, Any] = field(default_factory=dict)
@property
def is_empty(self) -> bool:
"""Check if response contains no data."""
if self.data is None:
return True
if isinstance(self.data, (list, dict, str)):
return len(self.data) == 0
return False
class BaseVendor(ABC):
"""Abstract base class for all data vendors.
Implements a 3-stage pipeline pattern:
1. transform_query: Normalize input parameters
2. extract_data: Fetch raw data from source
3. transform_data: Normalize output format
Thread-safe call counting with configurable retry logic.
Example:
class YFinanceVendor(BaseVendor):
@property
def name(self) -> str:
return "yfinance"
def _transform_query(self, method, **kwargs):
# Normalize ticker symbol
return {"symbol": kwargs["ticker"].upper()}
def _extract_data(self, method, query):
# Fetch from yfinance
return yf.Ticker(query["symbol"]).history()
def _transform_data(self, method, raw_data, query):
# Convert to standard format
return {"ohlcv": raw_data.to_dict()}
"""
def __init__(
self,
max_retries: int = 3,
retry_delay: float = 1.0,
retry_backoff: float = 2.0,
timeout: Optional[float] = None
):
"""Initialize vendor with retry configuration.
Args:
max_retries: Maximum number of retry attempts
retry_delay: Initial delay between retries in seconds
retry_backoff: Multiplier for delay after each retry
timeout: Optional timeout for operations in seconds
"""
self._max_retries = max_retries
self._retry_delay = retry_delay
self._retry_backoff = retry_backoff
self._timeout = timeout
self._call_count = 0
self._call_count_lock = threading.Lock()
self._last_call_time: Optional[datetime] = None
self._error_count = 0
self._success_count = 0
@property
@abstractmethod
def name(self) -> str:
"""Return the vendor name."""
pass
@property
def call_count(self) -> int:
"""Get the total number of calls made (thread-safe)."""
with self._call_count_lock:
return self._call_count
@property
def error_rate(self) -> float:
"""Calculate error rate as percentage."""
total = self._error_count + self._success_count
if total == 0:
return 0.0
return (self._error_count / total) * 100
def reset_stats(self) -> None:
"""Reset call statistics."""
with self._call_count_lock:
self._call_count = 0
self._error_count = 0
self._success_count = 0
self._last_call_time = None
@abstractmethod
def _transform_query(self, method: str, **kwargs) -> Dict[str, Any]:
"""Transform input parameters to vendor-specific format.
Args:
method: The method being called
**kwargs: Input parameters
Returns:
Transformed query parameters
"""
pass
@abstractmethod
def _extract_data(self, method: str, query: Dict[str, Any]) -> Any:
"""Extract raw data from the vendor.
Args:
method: The method being called
query: Transformed query parameters
Returns:
Raw data from the vendor
"""
pass
@abstractmethod
def _transform_data(
self,
method: str,
raw_data: Any,
query: Dict[str, Any]
) -> Any:
"""Transform raw data to standardized format.
Args:
method: The method being called
raw_data: Raw data from extract_data
query: Original query parameters
Returns:
Transformed data in standard format
"""
pass
def _should_retry(self, exception: Exception) -> bool:
"""Determine if operation should be retried for given exception.
Override this method to customize retry logic.
Args:
exception: The exception that occurred
Returns:
True if operation should be retried
"""
# Default: retry on network-related errors
retryable_types = (
ConnectionError,
TimeoutError,
OSError,
)
return isinstance(exception, retryable_types)
def execute(
self,
method: str,
**kwargs
) -> VendorResponse:
"""Execute a vendor method with full pipeline.
Runs the 3-stage pipeline with retry logic:
1. transform_query
2. extract_data (with retries)
3. transform_data
Args:
method: Name of the method to execute
**kwargs: Parameters for the method
Returns:
VendorResponse with result or error information
"""
start_time = time.time()
# Increment call count (thread-safe)
with self._call_count_lock:
self._call_count += 1
self._last_call_time = datetime.now()
response = VendorResponse(
vendor_name=self.name,
method_name=method
)
try:
# Stage 1: Transform query
query = self._transform_query(method, **kwargs)
logger.debug(f"[{self.name}] Transformed query for {method}: {query}")
# Stage 2: Extract data with retries
raw_data = self._extract_with_retry(method, query)
# Stage 3: Transform data
transformed = self._transform_data(method, raw_data, query)
response.data = transformed
response.success = True
self._success_count += 1
except Exception as e:
response.success = False
response.error_message = str(e)
self._error_count += 1
logger.error(f"[{self.name}] Error executing {method}: {e}")
finally:
response.execution_time_ms = (time.time() - start_time) * 1000
return response
def _extract_with_retry(self, method: str, query: Dict[str, Any]) -> Any:
"""Execute extract_data with retry logic.
Args:
method: Method name
query: Query parameters
Returns:
Raw data from vendor
Raises:
Last exception if all retries fail
"""
last_exception: Optional[Exception] = None
delay = self._retry_delay
for attempt in range(self._max_retries + 1):
try:
return self._extract_data(method, query)
except Exception as e:
last_exception = e
if not self._should_retry(e):
logger.debug(f"[{self.name}] Non-retryable error: {e}")
raise
if attempt < self._max_retries:
logger.warning(
f"[{self.name}] Retry {attempt + 1}/{self._max_retries} "
f"after error: {e}. Waiting {delay:.1f}s"
)
time.sleep(delay)
delay *= self._retry_backoff
# All retries exhausted
raise last_exception # type: ignore
class SimpleVendor(BaseVendor):
"""Simplified vendor for wrapping existing functions.
Useful for migrating existing vendor implementations to the new pattern
without major refactoring.
Example:
vendor = SimpleVendor(
vendor_name="yfinance",
methods={
"get_stock_data": get_yfinance_stock,
"get_fundamentals": get_yfinance_fundamentals,
}
)
"""
def __init__(
self,
vendor_name: str,
methods: Dict[str, callable],
**kwargs
):
"""Initialize simple vendor with existing functions.
Args:
vendor_name: Name of the vendor
methods: Dictionary mapping method names to callables
**kwargs: Additional BaseVendor configuration
"""
super().__init__(**kwargs)
self._vendor_name = vendor_name
self._methods = methods
@property
def name(self) -> str:
"""Return the vendor name."""
return self._vendor_name
def _transform_query(self, method: str, **kwargs) -> Dict[str, Any]:
"""Pass through query parameters unchanged."""
return kwargs
def _extract_data(self, method: str, query: Dict[str, Any]) -> Any:
"""Call the wrapped function."""
if method not in self._methods:
raise ValueError(f"Method '{method}' not found in vendor '{self.name}'")
func = self._methods[method]
return func(**query)
def _transform_data(
self,
method: str,
raw_data: Any,
query: Dict[str, Any]
) -> Any:
"""Return data unchanged."""
return raw_data
def add_method(self, method_name: str, func: callable) -> None:
"""Add a method to the vendor.
Args:
method_name: Name of the method
func: Callable to execute
"""
self._methods[method_name] = func
def get_methods(self) -> List[str]:
"""Get list of available methods."""
return list(self._methods.keys())

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"""Decorators for vendor registration and method management.
Provides convenient decorators for registering vendors and methods with
the global registry.
Issue #11: [DATA-10] Interface routing - add new data vendors
"""
from functools import wraps
from typing import Callable, Optional, Set, Type
import threading
import time
import logging
from .vendor_registry import (
VendorCapability,
VendorMetadata,
VendorRegistry,
get_registry
)
logger = logging.getLogger(__name__)
def register_vendor(
name: str,
priority: int = 100,
capabilities: Optional[Set[VendorCapability]] = None,
rate_limit_exception: Optional[Type[Exception]] = None,
description: str = ""
) -> Callable:
"""Class decorator to register a vendor with the global registry.
Example:
@register_vendor(
name="yfinance",
priority=10,
capabilities={VendorCapability.STOCK_DATA, VendorCapability.FUNDAMENTALS}
)
class YFinanceVendor(BaseVendor):
pass
"""
def decorator(cls: Type) -> Type:
metadata = VendorMetadata(
name=name,
priority=priority,
capabilities=capabilities or set(),
rate_limit_exception=rate_limit_exception,
description=description
)
# Register vendor on class definition
get_registry().register_vendor(metadata)
# Store metadata on class for reference
cls._vendor_metadata = metadata
cls._vendor_name = name
return cls
return decorator
def vendor_method(
method_name: str,
vendor_name: Optional[str] = None
) -> Callable:
"""Decorator to register a method with the vendor registry.
Can be used as a method decorator on vendor classes or as a
standalone function decorator.
Example (on class method):
class YFinanceVendor(BaseVendor):
@vendor_method("get_stock_data")
def get_stock(self, ticker):
pass
Example (standalone):
@vendor_method("get_stock_data", vendor_name="yfinance")
def get_yfinance_stock(ticker):
pass
"""
def decorator(func: Callable) -> Callable:
@wraps(func)
def wrapper(*args, **kwargs):
return func(*args, **kwargs)
# Store registration info for lazy registration
wrapper._vendor_method_name = method_name
wrapper._vendor_name = vendor_name
# If vendor_name provided, register immediately
if vendor_name:
try:
get_registry().register_method(vendor_name, method_name, wrapper)
except ValueError:
# Vendor not yet registered - will be registered later
logger.debug(
f"Deferred registration of {method_name} for {vendor_name}"
)
return wrapper
return decorator
class RateLimiter:
"""Thread-safe rate limiter with sliding window.
Tracks request timestamps and enforces rate limits using a sliding window.
"""
def __init__(self, max_calls: int, period_seconds: float):
"""Initialize rate limiter.
Args:
max_calls: Maximum calls allowed in the period
period_seconds: Time window in seconds
"""
self._max_calls = max_calls
self._period = period_seconds
self._calls: list = []
self._lock = threading.Lock()
def acquire(self) -> bool:
"""Try to acquire a rate limit slot.
Returns:
True if request is allowed, False if rate limited
"""
with self._lock:
now = time.time()
cutoff = now - self._period
# Remove expired entries
self._calls = [t for t in self._calls if t > cutoff]
# Check if under limit
if len(self._calls) < self._max_calls:
self._calls.append(now)
return True
return False
def wait_time(self) -> float:
"""Get time to wait before next allowed request.
Returns:
Seconds to wait (0 if request can proceed)
"""
with self._lock:
now = time.time()
cutoff = now - self._period
# Remove expired entries
self._calls = [t for t in self._calls if t > cutoff]
if len(self._calls) < self._max_calls:
return 0.0
# Time until oldest call expires
return self._calls[0] + self._period - now
def reset(self) -> None:
"""Reset the rate limiter."""
with self._lock:
self._calls.clear()
# Global rate limiters for vendors
_rate_limiters: dict = {}
_rate_limiter_lock = threading.Lock()
def get_rate_limiter(
vendor_name: str,
max_calls: int,
period_seconds: float
) -> RateLimiter:
"""Get or create a rate limiter for a vendor.
Args:
vendor_name: Vendor identifier
max_calls: Max calls per period
period_seconds: Rate limit period
Returns:
RateLimiter instance
"""
with _rate_limiter_lock:
key = f"{vendor_name}:{max_calls}:{period_seconds}"
if key not in _rate_limiters:
_rate_limiters[key] = RateLimiter(max_calls, period_seconds)
return _rate_limiters[key]
def rate_limited(
max_calls: int,
period_seconds: float = 60.0,
vendor_name: Optional[str] = None,
exception_class: Optional[Type[Exception]] = None
) -> Callable:
"""Decorator to apply rate limiting to a function.
Example:
@rate_limited(max_calls=5, period_seconds=60, vendor_name="alpha_vantage")
def get_stock_data(ticker):
pass
"""
def decorator(func: Callable) -> Callable:
# Determine vendor name from function or provided value
limiter_name = vendor_name or getattr(func, '_vendor_name', func.__name__)
@wraps(func)
def wrapper(*args, **kwargs):
limiter = get_rate_limiter(limiter_name, max_calls, period_seconds)
if not limiter.acquire():
wait_seconds = limiter.wait_time()
error_msg = (
f"Rate limit exceeded for {limiter_name}. "
f"Try again in {wait_seconds:.1f} seconds"
)
if exception_class:
raise exception_class(error_msg)
raise RuntimeError(error_msg)
return func(*args, **kwargs)
return wrapper
return decorator
def with_retry(
max_retries: int = 3,
retry_delay: float = 1.0,
backoff_multiplier: float = 2.0,
retryable_exceptions: tuple = (ConnectionError, TimeoutError)
) -> Callable:
"""Decorator to add retry logic to a function.
Example:
@with_retry(max_retries=3, retry_delay=1.0)
def fetch_data():
pass
"""
def decorator(func: Callable) -> Callable:
@wraps(func)
def wrapper(*args, **kwargs):
last_exception = None
delay = retry_delay
for attempt in range(max_retries + 1):
try:
return func(*args, **kwargs)
except retryable_exceptions as e:
last_exception = e
if attempt < max_retries:
logger.warning(
f"Retry {attempt + 1}/{max_retries} for {func.__name__}: {e}"
)
time.sleep(delay)
delay *= backoff_multiplier
else:
raise
raise last_exception # type: ignore
return wrapper
return decorator
def cache_result(
ttl_seconds: float = 300.0,
max_size: int = 100
) -> Callable:
"""Decorator to cache function results.
Simple TTL-based cache with LRU eviction.
Example:
@cache_result(ttl_seconds=60)
def get_stock_data(ticker):
pass
"""
def decorator(func: Callable) -> Callable:
cache: dict = {}
cache_lock = threading.Lock()
access_order: list = []
@wraps(func)
def wrapper(*args, **kwargs):
# Create cache key from args
key = (args, tuple(sorted(kwargs.items())))
now = time.time()
with cache_lock:
# Check cache
if key in cache:
value, timestamp = cache[key]
if now - timestamp < ttl_seconds:
# Update access order
if key in access_order:
access_order.remove(key)
access_order.append(key)
return value
else:
# Expired
del cache[key]
if key in access_order:
access_order.remove(key)
# Execute function
result = func(*args, **kwargs)
with cache_lock:
# Evict oldest if at capacity
while len(cache) >= max_size and access_order:
oldest_key = access_order.pop(0)
cache.pop(oldest_key, None)
# Store result
cache[key] = (result, now)
access_order.append(key)
return result
# Add cache control methods
def clear_cache():
with cache_lock:
cache.clear()
access_order.clear()
def cache_info():
with cache_lock:
return {
"size": len(cache),
"max_size": max_size,
"ttl_seconds": ttl_seconds
}
wrapper.clear_cache = clear_cache
wrapper.cache_info = cache_info
return wrapper
return decorator

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"""Vendor Registry for extensible data vendor management.
This module provides a thread-safe registry pattern for managing data vendors,
enabling easy addition of new vendors without modifying core interface code.
Issue #11: [DATA-10] Interface routing - add new data vendors
"""
from dataclasses import dataclass, field
from enum import Enum, auto
from typing import Callable, Dict, List, Optional, Set, Any, Type
import threading
import logging
logger = logging.getLogger(__name__)
class VendorCapability(Enum):
"""Capabilities that vendors can provide."""
STOCK_DATA = auto()
TECHNICAL_INDICATORS = auto()
FUNDAMENTALS = auto()
BALANCE_SHEET = auto()
CASHFLOW = auto()
INCOME_STATEMENT = auto()
NEWS = auto()
GLOBAL_NEWS = auto()
INSIDER_SENTIMENT = auto()
INSIDER_TRANSACTIONS = auto()
MACROECONOMIC = auto()
BENCHMARK = auto()
@dataclass
class VendorMetadata:
"""Metadata about a registered vendor."""
name: str
priority: int = 100 # Lower = higher priority
capabilities: Set[VendorCapability] = field(default_factory=set)
rate_limit_exception: Optional[Type[Exception]] = None
description: str = ""
enabled: bool = True
def __hash__(self):
return hash(self.name)
def __eq__(self, other):
if not isinstance(other, VendorMetadata):
return False
return self.name == other.name
class VendorRegistry:
"""Thread-safe singleton registry for data vendors.
Provides centralized vendor registration, lookup, and routing.
Uses double-checked locking for thread-safe singleton pattern.
Example:
# Register a vendor
registry = VendorRegistry()
registry.register_vendor(
VendorMetadata(
name="yfinance",
priority=10,
capabilities={VendorCapability.STOCK_DATA, VendorCapability.FUNDAMENTALS}
)
)
# Register a method
registry.register_method("yfinance", "get_stock_data", get_yfinance_stock)
# Get vendors for a capability
vendors = registry.get_vendors_for_capability(VendorCapability.STOCK_DATA)
"""
_instance: Optional["VendorRegistry"] = None
_lock: threading.Lock = threading.Lock()
_initialized: bool = False
def __new__(cls) -> "VendorRegistry":
"""Thread-safe singleton instantiation with double-checked locking."""
# Fast path: instance exists
if cls._instance is not None:
return cls._instance
# Slow path: acquire lock and create instance
with cls._lock:
# Double-check inside lock
if cls._instance is None:
instance = super().__new__(cls)
# Initialize instance attributes before publishing
instance._vendors: Dict[str, VendorMetadata] = {}
instance._methods: Dict[str, Dict[str, Callable]] = {}
instance._capability_index: Dict[VendorCapability, Set[str]] = {}
instance._vendor_lock = threading.RLock()
# Publish instance only after fully initialized
cls._instance = instance
return cls._instance
def __init__(self):
"""Initialize registry (only runs once due to singleton)."""
# Skip if already initialized
if VendorRegistry._initialized:
return
VendorRegistry._initialized = True
def register_vendor(self, metadata: VendorMetadata) -> None:
"""Register a new vendor with its metadata.
Args:
metadata: VendorMetadata containing vendor info and capabilities
Raises:
ValueError: If vendor name is empty
"""
if not metadata.name:
raise ValueError("Vendor name cannot be empty")
with self._vendor_lock:
self._vendors[metadata.name] = metadata
# Update capability index
for capability in metadata.capabilities:
if capability not in self._capability_index:
self._capability_index[capability] = set()
self._capability_index[capability].add(metadata.name)
logger.debug(f"Registered vendor: {metadata.name} with capabilities: {metadata.capabilities}")
def unregister_vendor(self, name: str) -> bool:
"""Unregister a vendor.
Args:
name: Name of vendor to unregister
Returns:
True if vendor was unregistered, False if not found
"""
with self._vendor_lock:
if name not in self._vendors:
return False
metadata = self._vendors.pop(name)
# Remove from capability index
for capability in metadata.capabilities:
if capability in self._capability_index:
self._capability_index[capability].discard(name)
# Remove all registered methods
if name in self._methods:
del self._methods[name]
logger.debug(f"Unregistered vendor: {name}")
return True
def register_method(
self,
vendor_name: str,
method_name: str,
implementation: Callable
) -> None:
"""Register a method implementation for a vendor.
Args:
vendor_name: Name of the vendor
method_name: Name of the method
implementation: Callable implementation
Raises:
ValueError: If vendor is not registered or method name is empty
"""
if not method_name:
raise ValueError("Method name cannot be empty")
with self._vendor_lock:
if vendor_name not in self._vendors:
raise ValueError(f"Vendor '{vendor_name}' not registered")
if vendor_name not in self._methods:
self._methods[vendor_name] = {}
self._methods[vendor_name][method_name] = implementation
logger.debug(f"Registered method '{method_name}' for vendor '{vendor_name}'")
def get_vendor(self, name: str) -> Optional[VendorMetadata]:
"""Get vendor metadata by name.
Args:
name: Vendor name
Returns:
VendorMetadata if found, None otherwise
"""
with self._vendor_lock:
return self._vendors.get(name)
def get_all_vendors(self) -> List[VendorMetadata]:
"""Get all registered vendors sorted by priority.
Returns:
List of VendorMetadata sorted by priority (lower = higher)
"""
with self._vendor_lock:
return sorted(
self._vendors.values(),
key=lambda v: v.priority
)
def get_vendors_for_capability(
self,
capability: VendorCapability,
only_enabled: bool = True
) -> List[VendorMetadata]:
"""Get all vendors that support a specific capability.
Args:
capability: The capability to find vendors for
only_enabled: If True, only return enabled vendors
Returns:
List of VendorMetadata sorted by priority
"""
with self._vendor_lock:
vendor_names = self._capability_index.get(capability, set())
vendors = [
self._vendors[name]
for name in vendor_names
if name in self._vendors
]
if only_enabled:
vendors = [v for v in vendors if v.enabled]
return sorted(vendors, key=lambda v: v.priority)
def get_method(
self,
vendor_name: str,
method_name: str
) -> Optional[Callable]:
"""Get a method implementation for a vendor.
Args:
vendor_name: Name of the vendor
method_name: Name of the method
Returns:
Callable if found, None otherwise
"""
with self._vendor_lock:
vendor_methods = self._methods.get(vendor_name, {})
return vendor_methods.get(method_name)
def get_methods_for_vendor(self, vendor_name: str) -> Dict[str, Callable]:
"""Get all methods registered for a vendor.
Args:
vendor_name: Name of the vendor
Returns:
Dictionary mapping method names to implementations
"""
with self._vendor_lock:
return dict(self._methods.get(vendor_name, {}))
def set_vendor_enabled(self, name: str, enabled: bool) -> bool:
"""Enable or disable a vendor.
Args:
name: Vendor name
enabled: Whether vendor should be enabled
Returns:
True if vendor was found and updated, False otherwise
"""
with self._vendor_lock:
if name not in self._vendors:
return False
self._vendors[name].enabled = enabled
return True
def set_vendor_priority(self, name: str, priority: int) -> bool:
"""Update a vendor's priority.
Args:
name: Vendor name
priority: New priority (lower = higher priority)
Returns:
True if vendor was found and updated, False otherwise
"""
with self._vendor_lock:
if name not in self._vendors:
return False
self._vendors[name].priority = priority
return True
def clear(self) -> None:
"""Clear all registrations. Primarily for testing."""
with self._vendor_lock:
self._vendors.clear()
self._methods.clear()
self._capability_index.clear()
logger.debug("Cleared all vendor registrations")
@classmethod
def reset_instance(cls) -> None:
"""Reset the singleton instance. For testing only."""
with cls._lock:
cls._instance = None
cls._initialized = False
# Module-level convenience functions
def get_registry() -> VendorRegistry:
"""Get the global vendor registry instance."""
return VendorRegistry()
def register_vendor(metadata: VendorMetadata) -> None:
"""Register a vendor in the global registry."""
get_registry().register_vendor(metadata)
def register_method(vendor_name: str, method_name: str, implementation: Callable) -> None:
"""Register a method in the global registry."""
get_registry().register_method(vendor_name, method_name, implementation)