Enhance Historical Price Data Processing and Framework Reliability #27
Conversation
WalkthroughSeveral new modules and test suites were introduced to support CoinGecko API integration, including configuration validation and historical price data transformation. The Changes
Sequence Diagram(s)sequenceDiagram
participant User
participant Env
participant ConfigValidator as CoinGeckoConfigValidator
participant App
User->>Env: Set environment variables
App->>ConfigValidator: load_from_env()
ConfigValidator->>Env: Read variables
ConfigValidator->>ConfigValidator: validate_config()
ConfigValidator-->>App: Validated config or raise error
App->>CoinGecko API: Use validated config for requests
sequenceDiagram
participant App
participant PriceTransformer as HistoricalPriceTransformer
App->>PriceTransformer: validate_historical_data(raw_data)
PriceTransformer-->>App: is_valid (bool)
App->>PriceTransformer: transform_historical_data(raw_data)
PriceTransformer-->>App: transformed_data (list of dicts)
App->>PriceTransformer: filter_historical_data(transformed_data, filters)
PriceTransformer-->>App: filtered_data
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…tart and end dates - Changed date filtering to use strict inequality (> and <) - Ensures data points exactly on start or end dates are not included - Maintains the existing price filtering logic - Updates test expectations to reflect exclusive date filtering
- Modified test expectations to reflect exclusive date filtering - Updated assertion to check for 1 data point instead of 3 - Maintains the intent of testing date-based filtering - Clarifies the behavior of exclusive start and end date filtering
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Actionable comments posted: 4
🧹 Nitpick comments (8)
src/__init__.py (1)
1-1: Add final newline for PEP 8 compliance.The file is missing a final newline which violates Python coding standards.
Apply this diff to add the missing newline:
-# Make src a Python package +# Make src a Python package +🧰 Tools
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tests/test_historical_price_transformer.py (3)
2-2: Remove unused import.The
timedeltaimport is not used in the test file.Apply this diff to remove the unused import:
-from datetime import datetime, timedelta +from datetime import datetime🧰 Tools
🪛 Ruff (0.11.9)
2-2:
datetime.timedeltaimported but unusedRemove unused import:
datetime.timedelta(F401)
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[warning] 2-2: Unused timedelta imported from datetime
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5-13: Add class docstring and improve test data documentation.The test class is missing a docstring, and the test data setup could benefit from clearer documentation.
Apply this diff to improve documentation:
class TestHistoricalPriceTransformer(unittest.TestCase): + """Test suite for HistoricalPriceTransformer functionality.""" + def setUp(self): - # Sample historical price data + """Set up test data with realistic historical price points.""" self.sample_data = [ [1609459200000, 29000.50], # Jan 1, 2021 [1612137600000, 33000.75], # Feb 1, 2021🧰 Tools
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31-68: Fix formatting issues and verify test logic.Multiple formatting issues need to be addressed, but the test logic appears correct.
Apply this diff to fix trailing whitespace and add final newline:
transformed_data = HistoricalPriceTransformer.transform_historical_data(self.sample_data) - + self.assertEqual(len(transformed_data), len(self.sample_data)) - + for point, original_point in zip(transformed_data, self.sample_data): self.assertIn('timestamp', point) self.assertIn('datetime', point) self.assertIn('price', point) - + self.assertEqual(point['timestamp'], original_point[0]) self.assertEqual(point['price'], original_point[1]) - + # Check datetime is correctly formatted self.assertIsNotNone(datetime.fromisoformat(point['datetime'])) def test_filter_historical_data(self): """Test filtering of historical price data""" transformed_data = HistoricalPriceTransformer.transform_historical_data(self.sample_data) - + # Filter by date range (strict filtering) start_date = datetime(2021, 2, 1) end_date = datetime(2021, 4, 1) filtered_data = HistoricalPriceTransformer.filter_historical_data( - transformed_data, - start_date=start_date, + transformed_data, + start_date=start_date, end_date=end_date ) - self.assertEqual(len(filtered_data), 1) # Only Mar 1st point is strictly between Feb and Apr + # Only Mar 1st point is strictly between Feb and Apr + self.assertEqual(len(filtered_data), 1) # Filter by price range price_filtered_data = HistoricalPriceTransformer.filter_historical_data( - transformed_data, - min_price=40000, + transformed_data, + min_price=40000, max_price=60000 ) self.assertEqual(len(price_filtered_data), 2) # Two points in this price range if __name__ == '__main__': unittest.main() +🧰 Tools
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tests/test_config_validator.py (1)
1-1: Remove unused import.The
osmodule is imported but never used in this test file.-import os🧰 Tools
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src/config_validator.py (2)
1-1: Remove unused import.
Optionalfrom typing is imported but never used in the code.-from typing import Dict, Any, Optional +from typing import Dict, Any🧰 Tools
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passstatement is unnecessary in the exception class.class ConfigValidationError(Exception): """Custom exception for configuration validation errors.""" - pass🧰 Tools
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src/historical_price_transformer.py (1)
13-48: Comprehensive validation with good error handling.The method thoroughly validates both structure and content of historical data. Consider using lazy logging formatting for better performance.
if not isinstance(point, list) or len(point) != 2: - logging.error(f"Invalid data point format: {point}") + logging.error("Invalid data point format: %s", point) return FalseApply similar changes to the other logging statements on lines 40 and 45.
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📒 Files selected for processing (8)
.env.example(1 hunks).gitignore(1 hunks)src/__init__.py(1 hunks)src/config_validator.py(1 hunks)src/historical_price_transformer.py(1 hunks)tests/test_config_validator.py(1 hunks)tests/test_historical_price_transformer.py(1 hunks)tests~HEAD(1 hunks)
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src/config_validator.py
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tests/test_config_validator.py
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tests/test_historical_price_transformer.py
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src/historical_price_transformer.py
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🔇 Additional comments (17)
tests~HEAD (1)
1-1: LGTM! Proper directory creation command.The
mkdir -p testscommand is correct and ensures the tests directory exists without errors if it's already present..gitignore (1)
1-13: Comprehensive gitignore configuration.The gitignore patterns appropriately cover all common Python project artifacts including cache files, virtual environments, build outputs, and test artifacts.
.env.example (1)
1-13: Well-structured environment configuration template.The environment variable examples are comprehensive and well-documented, providing clear guidance for CoinGecko API configuration with sensible defaults.
tests/test_historical_price_transformer.py (1)
49-57: Verify date filtering logic is correct.The test expects only 1 result when filtering between Feb 1 and Apr 1, which appears correct for strict filtering (only Mar 1 would be strictly between these dates).
The filtering logic is sound - with strict date range filtering between Feb 1, 2021 and Apr 1, 2021, only the March 1, 2021 data point should be included.
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tests/test_config_validator.py (7)
5-15: Excellent test coverage for valid configuration.The test correctly validates a complete, valid configuration and ensures the validator returns the same config unchanged.
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17-27: Thorough testing of missing required keys.Good approach testing multiple scenarios of missing keys in a loop. The test correctly expects
ConfigValidationErrorfor each invalid configuration.🧰 Tools
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29-43: Comprehensive URL validation testing.The test covers various invalid URL formats including malformed URLs, invalid protocols, and URLs with spaces. Good edge case coverage.
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45-63: API key validation logic handles multiple error scenarios.The test correctly handles different invalid API key scenarios. The assertion on lines 62-63 appropriately checks for either missing key or length validation errors.
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65-81: Timeout validation covers edge cases effectively.Good coverage of invalid timeout values including negative numbers, zero, strings, out-of-range values, and non-numeric types.
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83-99: Rate limit validation mirrors timeout validation appropriately.Consistent approach with timeout validation, covering the same types of invalid inputs with appropriate range limits.
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101-113: Environment variable loading test is well-structured.The test properly uses
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src/config_validator.py (3)
12-53: Excellent validation logic with comprehensive checks.The method properly validates required keys, applies defaults for optional parameters, and delegates to specific validation methods. The approach of copying the config dictionary prevents side effects.
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55-75: Robust URL validation with comprehensive regex.The regex pattern correctly handles various URL formats including domains, localhost, IP addresses, and optional ports. Good validation approach.
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77-91: Simple but effective API key validation.The validation correctly checks for minimum length after stripping whitespace. The 10-character minimum is reasonable for API keys.
src/historical_price_transformer.py (3)
5-11: Well-designed class with clear purpose.The class documentation clearly explains its purpose for handling CoinGecko historical price data validation and transformation.
50-77: Clean transformation logic with proper validation.The method correctly validates input data before transformation and produces a well-structured output with timestamp, ISO datetime, and price fields.
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79-119: Flexible filtering with comprehensive criteria support.The method provides good flexibility for filtering by date ranges and price ranges. The use of an inner helper function keeps the logic clean and readable.
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| import unittest | ||
| from datetime import datetime, timedelta | ||
| from src.historical_price_transformer import HistoricalPriceTransformer |
There was a problem hiding this comment.
💡 Verification agent
🧩 Analysis chain
Add module docstring and verify import.
The module is missing a docstring and there's an import error for the HistoricalPriceTransformer module.
First, verify that the HistoricalPriceTransformer module exists and is properly implemented:
Add a module docstring:
+"""Tests for the HistoricalPriceTransformer class."""
import unittest
from datetime import datetime, timedelta
from src.historical_price_transformer import HistoricalPriceTransformer🏁 Script executed:
#!/bin/bash
# Check if the HistoricalPriceTransformer module exists
fd "historical_price_transformer.py" --type f
# Check the structure of the src directory
find src -name "*.py" -type fLength of output: 232
Add module docstring to tests/test_historical_price_transformer.py
The import of HistoricalPriceTransformer is correct—src/historical_price_transformer.py and src/__init__.py both exist—so only a module docstring is needed.
• File needing update:
- tests/test_historical_price_transformer.py (at the very top)
Suggested diff:
+"""Tests for the HistoricalPriceTransformer class."""
import unittest
from datetime import datetime, timedelta
from src.historical_price_transformer import HistoricalPriceTransformer📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| import unittest | |
| from datetime import datetime, timedelta | |
| from src.historical_price_transformer import HistoricalPriceTransformer | |
| """Tests for the HistoricalPriceTransformer class.""" | |
| import unittest | |
| from datetime import datetime, timedelta | |
| from src.historical_price_transformer import HistoricalPriceTransformer |
🧰 Tools
🪛 Ruff (0.11.9)
2-2: datetime.timedelta imported but unused
Remove unused import: datetime.timedelta
(F401)
🪛 Pylint (3.3.7)
[convention] 1-1: Missing module docstring
(C0114)
[error] 3-3: Unable to import 'src.historical_price_transformer'
(E0401)
[warning] 2-2: Unused timedelta imported from datetime
(W0611)
🤖 Prompt for AI Agents
In tests/test_historical_price_transformer.py at the very top of the file, add a
module-level docstring describing the purpose of the test module. The import of
HistoricalPriceTransformer is correct, so no changes are needed there. Just
insert a clear and concise docstring summarizing what the test file covers.
| try: | ||
| limit_float = float(rate_limit) | ||
| if limit_float <= 0 or limit_float > 100: # Reasonable rate limit range | ||
| raise ConfigValidationError(f"Invalid rate limit value: {rate_limit}") | ||
| return limit_float | ||
| except (TypeError, ValueError): | ||
| raise ConfigValidationError(f"Invalid rate limit value: must be a numeric value, got {type(rate_limit)}") |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Improve exception chaining for better debugging.
Similar to timeout validation, preserve the original exception context.
try:
limit_float = float(rate_limit)
if limit_float <= 0 or limit_float > 100: # Reasonable rate limit range
raise ConfigValidationError(f"Invalid rate limit value: {rate_limit}")
return limit_float
- except (TypeError, ValueError):
- raise ConfigValidationError(f"Invalid rate limit value: must be a numeric value, got {type(rate_limit)}")
+ except (TypeError, ValueError) as exc:
+ raise ConfigValidationError(f"Invalid rate limit value: must be a numeric value, got {type(rate_limit)}") from exc📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| try: | |
| limit_float = float(rate_limit) | |
| if limit_float <= 0 or limit_float > 100: # Reasonable rate limit range | |
| raise ConfigValidationError(f"Invalid rate limit value: {rate_limit}") | |
| return limit_float | |
| except (TypeError, ValueError): | |
| raise ConfigValidationError(f"Invalid rate limit value: must be a numeric value, got {type(rate_limit)}") | |
| try: | |
| limit_float = float(rate_limit) | |
| if limit_float <= 0 or limit_float > 100: # Reasonable rate limit range | |
| raise ConfigValidationError(f"Invalid rate limit value: {rate_limit}") | |
| return limit_float | |
| except (TypeError, ValueError) as exc: | |
| raise ConfigValidationError(f"Invalid rate limit value: must be a numeric value, got {type(rate_limit)}") from exc |
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🤖 Prompt for AI Agents
In src/config_validator.py around lines 129 to 135, the exception handling for
invalid rate limit values currently raises a new ConfigValidationError without
preserving the original exception context. Modify the except block to use "raise
... from e" syntax to chain the original exception, capturing the original error
for better debugging.
| 'REQUEST_TIMEOUT': os.getenv('COINGECKO_REQUEST_TIMEOUT', 30), | ||
| 'RATE_LIMIT': os.getenv('COINGECKO_RATE_LIMIT', 50) |
There was a problem hiding this comment.
Fix type inconsistency with os.getenv defaults.
The default values should be strings since os.getenv expects string defaults, not integers.
config = {
'API_BASE_URL': os.getenv('COINGECKO_API_BASE_URL', 'https://api.coingecko.com/api/v3'),
'API_KEY': os.getenv('COINGECKO_API_KEY', ''),
- 'REQUEST_TIMEOUT': os.getenv('COINGECKO_REQUEST_TIMEOUT', 30),
- 'RATE_LIMIT': os.getenv('COINGECKO_RATE_LIMIT', 50)
+ 'REQUEST_TIMEOUT': os.getenv('COINGECKO_REQUEST_TIMEOUT', '30'),
+ 'RATE_LIMIT': os.getenv('COINGECKO_RATE_LIMIT', '50')
}📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| 'REQUEST_TIMEOUT': os.getenv('COINGECKO_REQUEST_TIMEOUT', 30), | |
| 'RATE_LIMIT': os.getenv('COINGECKO_RATE_LIMIT', 50) | |
| config = { | |
| 'API_BASE_URL': os.getenv('COINGECKO_API_BASE_URL', 'https://api.coingecko.com/api/v3'), | |
| 'API_KEY': os.getenv('COINGECKO_API_KEY', ''), | |
| 'REQUEST_TIMEOUT': os.getenv('COINGECKO_REQUEST_TIMEOUT', '30'), | |
| 'RATE_LIMIT': os.getenv('COINGECKO_RATE_LIMIT', '50') | |
| } |
🧰 Tools
🪛 Pylint (3.3.7)
[warning] 148-148: os.getenv default type is builtins.int. Expected str or None.
(W1508)
[warning] 149-149: os.getenv default type is builtins.int. Expected str or None.
(W1508)
🤖 Prompt for AI Agents
In src/config_validator.py around lines 148 to 149, the default values passed to
os.getenv are integers, but os.getenv expects string defaults. Change the
default values from integers (30 and 50) to their string equivalents ('30' and
'50') to maintain type consistency.
| try: | ||
| timeout_float = float(timeout) | ||
| if timeout_float <= 0 or timeout_float > 120: # Reasonable timeout range | ||
| raise ConfigValidationError(f"Invalid timeout value: {timeout}") | ||
| return timeout_float | ||
| except (TypeError, ValueError): | ||
| raise ConfigValidationError(f"Invalid timeout value: must be a numeric value, got {type(timeout)}") |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Improve exception chaining for better debugging.
The exception handling should preserve the original exception context for better debugging.
try:
timeout_float = float(timeout)
if timeout_float <= 0 or timeout_float > 120: # Reasonable timeout range
raise ConfigValidationError(f"Invalid timeout value: {timeout}")
return timeout_float
- except (TypeError, ValueError):
- raise ConfigValidationError(f"Invalid timeout value: must be a numeric value, got {type(timeout)}")
+ except (TypeError, ValueError) as exc:
+ raise ConfigValidationError(f"Invalid timeout value: must be a numeric value, got {type(timeout)}") from exc📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| try: | |
| timeout_float = float(timeout) | |
| if timeout_float <= 0 or timeout_float > 120: # Reasonable timeout range | |
| raise ConfigValidationError(f"Invalid timeout value: {timeout}") | |
| return timeout_float | |
| except (TypeError, ValueError): | |
| raise ConfigValidationError(f"Invalid timeout value: must be a numeric value, got {type(timeout)}") | |
| try: | |
| timeout_float = float(timeout) | |
| if timeout_float <= 0 or timeout_float > 120: # Reasonable timeout range | |
| raise ConfigValidationError(f"Invalid timeout value: {timeout}") | |
| return timeout_float | |
| except (TypeError, ValueError) as exc: | |
| raise ConfigValidationError(f"Invalid timeout value: must be a numeric value, got {type(timeout)}") from exc |
🧰 Tools
🪛 Ruff (0.11.9)
113-113: Within an except clause, raise exceptions with raise ... from err or raise ... from None to distinguish them from errors in exception handling
(B904)
🪛 Pylint (3.3.7)
[convention] 113-113: Line too long (111/100)
(C0301)
[warning] 113-113: Consider explicitly re-raising using 'except (TypeError, ValueError) as exc' and 'raise ConfigValidationError(f'Invalid timeout value: must be a numeric value, got {type(timeout)}') from exc'
(W0707)
🤖 Prompt for AI Agents
In src/config_validator.py around lines 107 to 113, the exception handling for
converting timeout to float currently raises a new ConfigValidationError without
preserving the original exception context. Modify the except block to use "raise
... from e" syntax to chain the original exception, where "e" is the caught
exception, so that the traceback includes the original error for better
debugging.
1 participant
Enhance Historical Price Data Processing and Framework Reliability
Description
Summary of Work
This pull request introduces significant improvements to our historical price data processing capabilities and test framework infrastructure.
Our goals were to:
By refactoring key components, we've created a more resilient and extensible system for handling complex data processing scenarios, particularly in financial data analysis and testing environments.
Changes Made
Package Structure and Importability:
Historical Price Transformer Enhancements:
Test Framework Improvements:
Tests and Verification
Verification Steps:
Test Coverage:
PRs Merged
The following pull requests have been merged:
Signatures
Staking Key
4dg5biSRX8dyVs9dKjspPid3rgZhs6p3bVSmfX7kii6u: 9XjiGQdyQzXDfyB7Qc4qux8pYJoHyA8pajYynBEuKBpHYsxvygzXknutUZbfMtjy8GvXpSmEVDGXzBRw8szSygEHuqDev6YDs3zXntbYYsrgeDD2LzgN84L1DT1yMVPfLRzZ1QSzV7i92a2TpkDkmjp5p4EVcqDgpqdUE9FTTdCq63JVvvcrRCbMPzLuFHguk4yuHEJn8FRk7Cdsk3izqn77U8vtAh7H71HKEM4TbiZXZhWiZnvnGgNenhpGia2Vv8V97aoqVxAMVwgQ4Q7VDyQTHRcgh5e3rhfyTZ4LXgK8DBfXtG6jVx7RwDHYsFQLCH7gu398H2DznHr9UnTfrK5KVhkhdbyhKYpZPzSKgUYRgdUk1RiXmkgxBhRsYeFe4z1WichkJicfwcKWjTo3xER4gRfnkpDFxJcGv4GA2fPUPxgC
Public Key
8faNomoeXkkduuWjm5qyYJ1E6rg7w5Pzv2Ysj439mwkM: 9PT1Wmph6tcBiQYgQQ7GbFWXZ6HnnyvkcbZoGd9Mznrw6LdpDLFLnWG9YfN3LxcHmEtrt1gV6y5Sm9ocsjy8vadvh7J8nJMRRJhPAUcCVAh2w4gZPrn49AmFWBuCHunP9qR2cZhguRSSeRvFJyLLmaTXyKTf75dK1RucPYJc3VCUNXRffYvqn451CzeUdUfhx6zMf395zuEY5NqbBYdDefcSYcfxBrrcAznsQBd6dDisK4JGhy4FgzXF8om8AcC3zwguCrYETk2qpyFbkU3NeG2K3sa5GUNRXzoSq1RPHWe9aHPBVJPSPiBt7Z6XX2FSGsdCeAvS5uGeo6jCZUfw8CrGfniHDtjs9Ub4EQ4yxJKvdgLTbjJtAa1NmRS8Hms4tH8gtXNKq9eMn5Z1cbm47USAuW67Wi6qpoKzTPp3fj6aiAr8
Summary by CodeRabbit