feat: ✨ initial project structureand setup #1
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WalkthroughAdds a new Python project "pyenvalid" with packaging and tooling, CI/CD GitHub Actions, a validation module exposing Changes
Sequence Diagram(s)sequenceDiagram
autonumber
participant User
participant validate_settings
participant SettingsClass
participant Pydantic
participant ConfigurationError
participant _BoxFormatter
Note over User,validate_settings: validate_settings(SettingsClass)
User->>validate_settings: call validate_settings(SettingsClass)
validate_settings->>SettingsClass: instantiate SettingsClass()
SettingsClass->>Pydantic: parse env & validate
alt Valid
Pydantic-->>SettingsClass: instance
SettingsClass-->>validate_settings: return instance
validate_settings-->>User: validated settings
else Invalid
Pydantic-->>SettingsClass: ValidationError
SettingsClass-->>validate_settings: propagate error
validate_settings->>ConfigurationError: build errors list
ConfigurationError->>_BoxFormatter: request formatted box
_BoxFormatter-->>ConfigurationError: boxed message
ConfigurationError-->>validate_settings: raise formatted exception
validate_settings-->>User: raises ConfigurationError
end
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Actionable comments posted: 2
🧹 Nitpick comments (3)
.gitignore (1)
1-10: Consider adding common Python development patterns.The current .gitignore covers the essentials, but adding these patterns would improve the developer experience:
# Python-generated files __pycache__/ *.py[oc] build/ dist/ wheels/ *.egg-info +.pytest_cache/ +.ruff_cache/ +.mypy_cache/ +.coverage +htmlcov/ +*.log # Virtual environments .venv +venv/ +env/ + +# IDE +.vscode/ +.idea/ +*.swp +*.swo +*~ +.DS_StoreLICENSE (1)
1-21: Add trailing newline to follow POSIX convention.The LICENSE file is missing a newline at the end. While this doesn't affect functionality, POSIX defines a text file as ending with a newline character, and most tools expect this.
examples/basic_usage.py (1)
8-15: Consider guarding example execution withif __name__ == "__main__"Running
validate_settings(Settings)and printing at import time is fine for a standalone script, but wrapping the bottom part in amain()andif __name__ == "__main__":guard would make this file safer to import from tests or docs without side effects.
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.github/workflows/ci.yml(1 hunks).github/workflows/publish.yml(1 hunks).gitignore(1 hunks).python-version(1 hunks)LICENSE(1 hunks)examples/basic_usage.py(1 hunks)examples/with_env_file.py(1 hunks)examples/with_literals.py(1 hunks)pyproject.toml(1 hunks)src/pyenvalid/__init__.py(1 hunks)src/pyenvalid/validation.py(1 hunks)tests/__init__.py(1 hunks)tests/conftest.py(1 hunks)tests/test_configuration_error.py(1 hunks)tests/test_env_validation.py(1 hunks)
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🧬 Code graph analysis (6)
src/pyenvalid/__init__.py (1)
src/pyenvalid/validation.py (2)
ConfigurationError(17-81)validate_settings(119-149)
tests/test_configuration_error.py (1)
src/pyenvalid/validation.py (1)
ConfigurationError(17-81)
examples/basic_usage.py (3)
src/pyenvalid/validation.py (1)
validate_settings(119-149)examples/with_env_file.py (1)
Settings(8-12)examples/with_literals.py (1)
Settings(10-13)
examples/with_literals.py (1)
src/pyenvalid/validation.py (1)
validate_settings(119-149)
examples/with_env_file.py (3)
src/pyenvalid/validation.py (1)
validate_settings(119-149)examples/basic_usage.py (1)
Settings(8-11)examples/with_literals.py (1)
Settings(10-13)
tests/test_env_validation.py (1)
src/pyenvalid/validation.py (2)
ConfigurationError(17-81)validate_settings(119-149)
🔇 Additional comments (12)
.python-version (1)
1-1: LGTM!The Python version specification aligns with the CI test matrix and the project's minimum Python requirement of 3.11.
tests/__init__.py (1)
1-1: LGTM!Standard test package initialization with a clear docstring.
.github/workflows/ci.yml (1)
1-42: LGTM!The CI workflow is well-structured with appropriate separation of concerns (lint, typecheck, test). The test matrix covering Python 3.11-3.13 aligns with the project requirements.
.github/workflows/publish.yml (1)
1-19: LGTM!The publish workflow follows best practices by using trusted publishing (OIDC) for secure PyPI authentication. The workflow structure is clean and appropriate for package releases.
pyproject.toml (2)
1-31: LGTM!Project metadata is well-defined with appropriate classifiers, version constraints, and documentation links. The dependency constraints on pydantic and pydantic-settings (>=2.0.0) are appropriately permissive.
39-78: LGTM!The development dependencies and tool configurations are well-chosen:
- Modern type checker (basedpyright) with strict mode
- Comprehensive ruff linting rules
- Pytest configuration with appropriate test paths
examples/with_literals.py (1)
1-17: LGTM!The example effectively demonstrates the library's usage with Literal types for constrained values. The required
api_keyfield will appropriately raise aConfigurationErrorif theAPI_KEYenvironment variable is not set, showcasing the validation behavior.examples/with_env_file.py (1)
1-15: Example is clear and idiomaticNice concise demonstration of using
SettingsConfigDict(env_file=".env")together withvalidate_settings. This matches the intended public API cleanly.src/pyenvalid/__init__.py (1)
1-23: Public API re-exports look solidThe package docstring and
from pyenvalid.validation import ConfigurationError, validate_settingsplus__all__give a clean, minimal public surface that matches how tests and examples import the library.tests/test_configuration_error.py (1)
1-134: Thorough coverage ofConfigurationErrorbehaviorThese tests exercise both data (errors/missing_fields) and formatting (titles, hints, markers, box drawing) plus inheritance/exception semantics. They align well with the implementation and should guard most regressions in the error formatting logic.
src/pyenvalid/validation.py (1)
17-149: Validation utilities and error formatting align well with tests and intended API
ConfigurationError’s storage,missing_fieldscompatibility, and boxed message formatting, together with_BoxFormatter’s width clamping/truncation andvalidate_settings’sValidationErrortranslation, all look correct and are well covered by the tests. The use offrom __future__ import annotationsplusTYPE_CHECKINGimports keeps runtime dependencies minimal while preserving type checking.tests/test_env_validation.py (1)
36-213: Integration tests give good coverage of env validation scenariosThese tests exercise the full flow of
validate_settingswith realisticProductionSettingsand various env setups (missing vs present, overrides, case-insensitive keys, type and literal errors, and boolean conversions). Onceclean_envis updated to clear all relevant variables, this suite should be very effective at catching regressions in both validation and error reporting.
… and existing modules
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Actionable comments posted: 8
♻️ Duplicate comments (2)
pyproject.toml (1)
36-37: Fix Hatch wheelpackagespath forsrclayout.
packages = ["src/pyenvalid"]treats the filesystem path as a package name; Hatch expects import names (e.g."pyenvalid"). This can break builds or package the wrong directory. Use the package name plus a sources mapping so Hatch looks undersrc/.[tool.hatch.build.targets.wheel] -packages = ["src/pyenvalid"] +packages = ["pyenvalid"] + +[tool.hatch.build.targets.wheel.sources] +"src" = ""To confirm the updated setting is in place:
#!/bin/bash # Show the Hatch wheel build config and its packages entry. rg -n '^\[tool\.hatch\.build\.targets\.wheel\]' -A3 pyproject.tomltests/conftest.py (1)
55-70: Expandclean_envto clear all environment variables used across test suite.The fixture currently misses many environment variables used in the test files, which can cause test flakiness when these variables exist in the actual environment. Based on the test files, the following variables are used but not cleared:
- From
test_env_validation.py:SECRET_KEY,REDIS_URL,APP_NAME,ENVIRONMENT,WORKERS,FLAG- From
test_special_scenarios.py:VALUE,ENV,MODE,CONFIG_PATH,LOG_PATH,INSTALL_PATH,CONFIG,PASSWORD,MESSAGE,STATUS,COUNT,DB_NAME,DB_USER,DB_PASSWORD,DB_SSL,FEATURE_NEW_UI,FEATURE_BETA_API,FEATURE_ANALYTICS, and various dynamically named fieldsConsider these approaches:
- Expand the list to include all known variables:
env_vars = [ "REQUIRED_FIELD", "OPTIONAL_FIELD", "DATABASE_URL", "API_KEY", "PORT", "DEBUG", "LOG_LEVEL", "HOST", + "SECRET_KEY", + "REDIS_URL", + "APP_NAME", + "ENVIRONMENT", + "WORKERS", + "FLAG", + "VALUE", + "ENV", + "MODE", + "CONFIG_PATH", + "LOG_PATH", + "INSTALL_PATH", + "CONFIG", + "PASSWORD", + "MESSAGE", + "STATUS", + "COUNT", + "DB_NAME", + "DB_USER", + "DB_PASSWORD", + "DB_HOST", + "DB_PORT", + "DB_SSL", + "FEATURE_NEW_UI", + "FEATURE_BETA_API", + "FEATURE_ANALYTICS", + "API_URL", + "API_TIMEOUT", + "API_RETRIES", + "API_VERSION", + "LOG_FILE", + "LOG_FORMAT", + "BIG_NUMBER", ]
- Clear dynamically by pattern (more robust):
# Clear all env vars that match test patterns import os test_prefixes = ["API_", "DB_", "FEATURE_", "LOG_", "CONFIG_"] test_vars = [ "REQUIRED_FIELD", "OPTIONAL_FIELD", "DATABASE_URL", "SECRET_KEY", "REDIS_URL", "APP_NAME", "ENVIRONMENT", "WORKERS", "FLAG", "VALUE", "ENV", "MODE", "PASSWORD", "MESSAGE", "STATUS", "COUNT", "HOST", "PORT", "DEBUG" ] for var in list(os.environ.keys()): if var in test_vars or any(var.startswith(prefix) for prefix in test_prefixes): monkeypatch.delenv(var, raising=False)
🧹 Nitpick comments (5)
.gitignore (1)
1-10: Consider ignoring common test, coverage, and env artifacts.The current ignore list is solid; you might also keep pytest/coverage output and local env files out of git.
# Python-generated files __pycache__/ *.py[oc] build/ dist/ wheels/ *.egg-info # Virtual environments .venv + +# Test / coverage artifacts +.pytest_cache/ +.coverage +htmlcov/ + +# Local env files (optional) +.env +.env.*examples/with_env_file.py (1)
1-15: Consider adding error handling and output to make the example more instructive.The example demonstrates loading settings from a
.envfile but doesn't show error handling or provide any output. For a more complete example, consider:
- Wrapping
validate_settingsin a try-except block to demonstrateConfigurationErrorhandling- Adding print statements to show successful loading
- Including a comment about creating a
.envfile with the required variablesExample enhancement:
settings = validate_settings(Settings) +print(f"Loaded settings from .env:") +print(f" Database: {settings.database_url}") +print(f" Secret key configured: {'*' * len(settings.secret_key)}")examples/with_literals.py (1)
1-17: LGTM! Consider adding error handling for completeness.The example effectively demonstrates Literal types for constrained values and includes output. For an even more instructive example, consider wrapping the validation in a try-except block to show how
ConfigurationErroris raised when constraints are violated (e.g., invalid environment value).tests/test_special_scenarios.py (1)
13-32: Clarify test expectations for empty string validation.The test accepts both success and failure, which makes it non-deterministic. Tests should verify specific expected behavior. Based on Pydantic's behavior, empty strings are valid for
strtypes.Consider updating to:
- def test_required_field_with_empty_string_fails( + def test_required_field_with_empty_string_allowed( self, clean_env: pytest.MonkeyPatch ) -> None: - """Should fail when required field is empty string.""" + """Should allow empty string for str fields (Pydantic behavior).""" class RequiredSettings(BaseSettings): model_config = SettingsConfigDict(env_file=None) api_key: str clean_env.setenv("API_KEY", "") - # Pydantic might allow empty string for str type - # Let's test the actual behavior - try: - settings = validate_settings(RequiredSettings) - # If it succeeds, empty string is valid for str type - assert settings.api_key == "" - except ConfigurationError: - # If it fails, that's also acceptable behavior - pass + settings = validate_settings(RequiredSettings) + assert settings.api_key == ""tests/test_validate_settings_edge_cases.py (1)
355-368: Consider adding false value test cases for completeness.The test covers various true string representations but doesn't test false values. Consider adding coverage for false strings:
# Test false values for value in ["0", "false", "False", "FALSE", "no", "No", "NO", "off", "Off", "OFF"]: clean_env.setenv("FLAG", value) settings = validate_settings(BoolSettings) assert settings.flag is False, f"Failed for value: {value}"
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.github/workflows/ci.yml(1 hunks).github/workflows/publish.yml(1 hunks).gitignore(1 hunks).python-version(1 hunks)LICENSE(1 hunks)examples/basic_usage.py(1 hunks)examples/with_env_file.py(1 hunks)examples/with_literals.py(1 hunks)pyproject.toml(1 hunks)src/pyenvalid/__init__.py(1 hunks)src/pyenvalid/validation.py(1 hunks)tests/__init__.py(1 hunks)tests/conftest.py(1 hunks)tests/test_box_formatter.py(1 hunks)tests/test_configuration_error.py(1 hunks)tests/test_env_validation.py(1 hunks)tests/test_special_scenarios.py(1 hunks)tests/test_validate_settings_edge_cases.py(1 hunks)
🧰 Additional context used
🧬 Code graph analysis (9)
tests/test_special_scenarios.py (1)
src/pyenvalid/validation.py (2)
ConfigurationError(17-81)validate_settings(119-149)
examples/with_env_file.py (1)
src/pyenvalid/validation.py (1)
validate_settings(119-149)
tests/test_configuration_error.py (1)
src/pyenvalid/validation.py (1)
ConfigurationError(17-81)
src/pyenvalid/__init__.py (1)
src/pyenvalid/validation.py (2)
ConfigurationError(17-81)validate_settings(119-149)
examples/basic_usage.py (3)
src/pyenvalid/validation.py (1)
validate_settings(119-149)examples/with_env_file.py (1)
Settings(8-12)examples/with_literals.py (1)
Settings(10-13)
tests/test_box_formatter.py (1)
src/pyenvalid/validation.py (8)
ConfigurationError(17-81)_BoxFormatter(84-116)_truncate(94-98)line(100-104)top(106-108)bottom(110-112)separator(114-116)_get_terminal_width(76-81)
examples/with_literals.py (1)
src/pyenvalid/validation.py (1)
validate_settings(119-149)
tests/test_validate_settings_edge_cases.py (4)
src/pyenvalid/validation.py (2)
ConfigurationError(17-81)validate_settings(119-149)tests/conftest.py (1)
clean_env(56-70)tests/test_special_scenarios.py (1)
OptionalSettings(40-42)tests/test_env_validation.py (1)
IntSettings(355-357)
tests/test_env_validation.py (3)
src/pyenvalid/validation.py (2)
ConfigurationError(17-81)validate_settings(119-149)tests/conftest.py (1)
clean_env(56-70)tests/test_validate_settings_edge_cases.py (2)
BoolSettings(360-362)IntSettings(346-348)
🪛 GitHub Actions: CI
tests/test_special_scenarios.py
[warning] 1-1: W293: Blank line contains whitespace detected throughout test_special_scenarios.py. Remove trailing whitespace on blank lines.
[error] 4-4: F401: Unused import: 'ValidationError' (from pydantic import ValidationError)
tests/test_configuration_error.py
[warning] 1-1: W293: Blank line contains whitespace detected throughout test_configuration_error.py. Remove trailing whitespace on blank lines.
tests/test_box_formatter.py
[warning] 1-1: W293: Blank line contains whitespace and W292: No newline at end of file detected in multiple places throughout test_box_formatter.py. Remove trailing whitespace on blank lines and ensure trailing newline.
tests/test_validate_settings_edge_cases.py
[warning] 1-1: W293: Blank line contains whitespace detected throughout test_validate_settings_edge_cases.py. Remove trailing whitespace on blank lines.
[warning] 16-16: ARG002: Unused method argument: 'clean_env' in test function definition.
tests/test_env_validation.py
[warning] 1-1: W293: Blank line contains whitespace detected throughout test_env_validation.py. Remove trailing whitespace on blank lines.
[warning] 429-429: ARG002: Unused method argument: 'clean_env' in test function definition.
🔇 Additional comments (13)
.python-version (1)
1-1: Python version pin is consistent with supported range.Using 3.13 here while declaring
>=3.11and testing 3.11–3.13 in CI is coherent; no change needed.LICENSE (1)
1-21: MIT license header looks correct.Standard MIT terms with the expected 2025 copyright notice; nothing to adjust.
tests/__init__.py (1)
1-1: Tests package init is fine.Docstring-only
__init__cleanly marks the tests package without adding behavior..github/workflows/publish.yml (1)
1-19: Publish workflow is minimal but correctly wired.Release‑published trigger,
uv build, and PyPI publish with OIDC permissions form a reasonable initial publish pipeline..github/workflows/ci.yml (1)
1-43: CI workflow covers the right checks across supported Python versions.Lint, type-check, and test jobs using uv with a 3.11–3.13 matrix align well with your
requires-pythonand tool configs.tests/test_box_formatter.py (1)
1-381: Test coverage for box formatting and terminal width behavior looks solid.These tests exercise width clamping, truncation, borders, unicode, error ordering, and terminal-width fallbacks thoroughly; no functional issues stand out.
src/pyenvalid/__init__.py (1)
1-23: LGTM! Clean public API with excellent documentation.The package initialization is well-structured with:
- Comprehensive docstring explaining the library's purpose
- Clear usage example demonstrating both success and error handling
- Proper use of
__all__to control the public API surface- Clean re-exports from the validation module
examples/basic_usage.py (1)
1-15: LGTM! Clear basic usage example.The example effectively demonstrates the core functionality with both required fields and default values. The print statement helps users confirm the settings are loaded correctly.
src/pyenvalid/validation.py (3)
17-81: Well-structured error formatting with terminal-aware rendering.The
ConfigurationErrorclass provides a clean API for aggregating validation errors with a user-friendly boxed output. The marker distinction between missing (✗) and invalid (!) fields is helpful.One minor note: the bare
except Exceptionon line 80 is intentionally broad for fallback behavior, which is acceptable here since terminal size detection is non-critical.
84-116: Clean box formatting helper.The implementation handles width clamping and text truncation well.
Minor note:
len()counts characters, not display width, so wide Unicode characters (e.g., CJK) could cause misalignment. This is acceptable for the current use case with mostly ASCII content and a few symbols like✗.
142-149: Verify nested field error handling is intentional.The error extraction uses only
err["loc"][0], which means nested field errors (e.g., from nested Pydantic models) will only display the top-level field name. If nested settings models are expected, consider joining the full location path:field = ".".join(str(loc) for loc in err["loc"]) if err["loc"] else "unknown"If top-level-only is the intended behavior (since
pydantic-settingstypically uses flat environment variables), this is fine.tests/test_validate_settings_edge_cases.py (2)
338-396: Good coverage for type coercion scenarios.The type coercion tests comprehensively cover string-to-int, various boolean formats, float conversions, and scientific notation. These are valuable edge cases for pydantic-settings validation.
398-456: Solid error message validation tests.The tests properly verify that error messages contain field names, error types, and box formatting characters. This ensures the user-facing output remains readable and informative.
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Actionable comments posted: 0
♻️ Duplicate comments (1)
pyproject.toml (1)
36-37: Fix the packages configuration for src layout (duplicate from previous review).This issue was flagged in a previous review but remains unresolved. The current configuration
packages = ["src/pyenvalid"]is incorrect for a src layout; hatchling will look forsrc/pyenvalid/src/pyenvalid/, which doesn't exist and will fail the build.Apply one of these solutions:
Option 1 (recommended): Use explicit sources mapping
[tool.hatch.build] -packages = ["src/pyenvalid"] +packages = ["pyenvalid"] + +[tool.hatch.build.targets.wheel.sources] +"src" = ""Option 2 (simpler): Use the standard hatch src layout configuration
[tool.hatch.build] -packages = ["src/pyenvalid"] +packages = ["pyenvalid"] +[tool.hatch.build.targets.wheel] +packages = ["src/pyenvalid"]For a src layout, Option 1 is the more standard and explicit approach.
🧹 Nitpick comments (1)
tests/test_special_scenarios.py (1)
12-31: Clarify the expected behavior or remove the ambiguous test.This test accepts both success and failure, making it non-deterministic and not useful for verifying behavior. The try-except pattern with pass means the test always succeeds regardless of the actual outcome.
Either:
- Decide on the expected behavior (should empty string be valid for required str fields?) and assert it explicitly
- Remove the test if the behavior is intentionally undefined
Example of a more assertive approach:
- def test_required_field_with_empty_string_fails( - self, clean_env: pytest.MonkeyPatch - ) -> None: - """Should fail when required field is empty string.""" - - class RequiredSettings(BaseSettings): - model_config = SettingsConfigDict(env_file=None) - api_key: str - - clean_env.setenv("API_KEY", "") - - # Pydantic might allow empty string for str type - # Let's test the actual behavior - try: - settings = validate_settings(RequiredSettings) - # If it succeeds, empty string is valid for str type - assert settings.api_key == "" - except ConfigurationError: - # If it fails, that's also acceptable behavior - pass + def test_required_field_accepts_empty_string( + self, clean_env: pytest.MonkeyPatch + ) -> None: + """Should accept empty string for required str field (Pydantic behavior).""" + + class RequiredSettings(BaseSettings): + model_config = SettingsConfigDict(env_file=None) + api_key: str + + clean_env.setenv("API_KEY", "") + settings = validate_settings(RequiredSettings) + assert settings.api_key == ""
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tests/test_validate_settings_edge_cases.py (2)
src/pyenvalid/validation.py (2)
ConfigurationError(17-81)validate_settings(119-149)tests/conftest.py (1)
clean_env(56-76)
🔇 Additional comments (5)
pyproject.toml (3)
1-27: Project metadata and dependencies look good.The project metadata is well-structured with proper classifiers, and the dependency versions (pydantic>=2.0.0, pydantic-settings>=2.0.0) are reasonable.
51-77: Linting and type-checking configuration is solid.The Ruff and Basedpyright configurations are well-tuned with strict type checking enabled and a sensible set of linters. The development dependencies (pytest, ruff, basedpyright) provide a good foundation for code quality.
46-49: I'll help you verify the pytest configuration. Let me start by examining the repository structure and the actual configuration.
<function_calls>
#!/bin/bashFirst, check if pyproject.toml exists and view the relevant section
if [ -f pyproject.toml ]; then
echo "=== pyproject.toml (lines 40-55) ==="
head -n 55 pyproject.toml | tail -n 16
else
echo "pyproject.toml not found"
fiCheck repository structure
echo -e "\n=== Repository structure ==="
ls -la
</function_calls>tests/test_special_scenarios.py (1)
33-374: Excellent comprehensive test coverage!The remaining test classes provide thorough coverage of edge cases including:
- Complex field names (numbers, double underscores)
- Validation error translation and error chains
- Settings inheritance
- ConfigurationError representation
- URL, path, JSON, and special character handling
- Unicode and emoji support
The tests are well-organized, follow pytest best practices, and verify specific expected behaviors.
tests/test_validate_settings_edge_cases.py (1)
1-423: Outstanding edge case test coverage!This test suite provides excellent comprehensive coverage across three well-organized test classes:
TestValidateSettingsEdgeCases: Thoroughly tests nested errors, optional fields, validators, union/list/dict types, Literal types, environment prefixes, case sensitivity, aliases, and boundary values (long strings, negative integers, zeros).
TestValidateSettingsTypeCoercion: Validates proper type conversion from environment strings to int, bool (multiple formats), float, and scientific notation.
TestValidateSettingsErrorMessages: Verifies error message content, preservation of all validation errors, and human-readable formatting.
The tests follow pytest best practices, use fixtures appropriately, and have clear documentation. Past issues have been properly addressed.
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