Mock Provider

Provider: MockProvider API Key: Not required Free Tier: N/A (for testing)

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Overview

Mock provider for unit testing. Returns predefined data or raises configured errors.

Best For: Unit tests, integration tests

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Quick Start

from ml4t.data.providers import MockProvider
import polars as pl

# Create with predefined data
test_data = pl.DataFrame({
    "timestamp": ["2024-01-01", "2024-01-02"],
    "symbol": ["TEST", "TEST"],
    "open": [100.0, 101.0],
    "high": [102.0, 103.0],
    "low": [99.0, 100.0],
    "close": [101.0, 102.0],
    "volume": [1000000.0, 1100000.0],
})

provider = MockProvider(data=test_data)
df = provider.fetch_ohlcv("TEST", "2024-01-01", "2024-01-02")

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Testing Error Handling

from ml4t.data.core.exceptions import SymbolNotFoundError

# Configure to raise errors
provider = MockProvider(error=SymbolNotFoundError("TEST"))

try:
    df = provider.fetch_ohlcv("TEST", "2024-01-01", "2024-01-02")
except SymbolNotFoundError:
    print("Correctly caught error")

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Use Cases

1. Unit Tests: Test without network
2. Error Handling Tests: Verify exception handling
3. Performance Tests: Known data size
4. CI/CD Pipelines: No external dependencies

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See Also

• Synthetic Provider
• Provider reference