Refactor generators and improve configuration handling #22
Conversation
- Split generators into separate modules for better organization
- Add support for multiple generator configurations
- Add new table_only option for markdown generator
- Add simple generator for basic table output
- Improve type hints and documentation
- Deprecate old-style generator configuration
- Add support for deprecated field marking
- Add new examples to documentation
- Add a default `PROJECT_NAME` variable with a fallback value of "pydantic-settings-export".
- Ensure `PROJECT_NAME` is only reloaded from `pyproject.toml` if the file exists.
- Changed the default `paths` property in `dotenv.py` and `markdown.py` to an empty list, adding examples for better clarity.
- Ensured parent directories are created if they don't exist before writing files in `abstract.py`.
- Enhanced documentation for `paths` attribute with practical examples in both dotenv and Markdown generators.
…settings) and add example env files for documentation.
- Bump `pydantic-settings` to version 2.3 and `pydantic` to version 2.7 in `pyproject.toml`.
- Update `.env.example` and `.env.only-optional.example` paths to include `docs` directory.
- Add new `docs/.env.example` and `docs/.env.only-optional.example` files.
* Add region support for markdown generator.
- Introduce `region` field to markdown generator configuration for injecting specific regions in documentation.
- Validate `region` functionality and enforce `regions` optional dependency if used.
- Update `.pre-commit-config.yaml` and `pyproject.toml` with `email` and `regions` extra dependencies.
- Add `InjectedConfiguration.md` as an example of region-based documentation generation.
- Include new dependencies (`email-validator`, `text-region-parser`) in `uv.lock`.
* Fix grammar and descriptions in CLI and documentation.
- Correct grammar issues in CLI option descriptions for `.env` file loading.
- Update documentation tables in `InjectedConfiguration.md`, `Configuration.md`, and `SimpleConfiguration.md` with corrected phrasing for `.env` descriptions.
- Clarify content generation logic in `markdown.py` for table and region options.
* Fix typo and grammar in CLI env_file description.
- Corrected "then" to "when" in the description.
- Fixed grammar: changed "which require values" to "which requires values."
📝 WalkthroughWalkthroughThis pull request introduces extensive updates across configuration, documentation, CLI functionality, generator modules, and project metadata. Key changes include updates to ignore patterns, pre-commit hooks, and dependency declarations, along with a significant overhaul of the README and other documentation. The CLI has been enhanced with a new settings class, a refactored argument parser, and improved error handling. Several generator modules have been extended with new configuration models, validation methods, and deprecation handling. Additionally, new documents related to contribution guidelines and conduct have been added. Changes
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Actionable comments posted: 1
🧹 Nitpick comments (17)
pydantic_settings_export/generators/dotenv.py (3)
47-57: Consider bumpingstacklevelfor clearer call-site warnings
The deprecation logic is good. Increasing thestacklevelhelps direct users to their usage site rather than the library code.For example:
warnings.warn( "The `name` attribute is deprecated ...", DeprecationWarning, - stacklevel=1, + stacklevel=2, )
74-79: Mode-based dictionary is neat
The dictionary-based approach to determine required/optional fields is concise. If this pattern appears across multiple generators, consider centralizing it for reuse.
86-87: Handle multiple aliases?
Currently, only the first alias is used. If multiple aliases exist, confirm you only need the first or consider supporting them all.pydantic_settings_export/generators/abstract.py (1)
94-102: Generation of full file paths
Combining absolute and relative paths in a straightforward manner. Consider logging an info message if paths are empty or a path doesn’t exist.pydantic_settings_export/generators/markdown.py (2)
32-127: Deprecation warnings and new fields inMarkdownSettings.
- The new
paths,file_prefix,table_only, andregionfields provide more flexible configuration. The descriptive comments and examples are thorough.- The deprecation warnings for
save_dirsandnameare clearly signposted. However, consider increasingstacklevelto2or3to help users see the callsite that triggers the warning.- The
regionvalidation is correct in checking for the optionaltext_region_parser. Good job providing a clear error message when it’s missing.
229-267: File update region handling.
- The decision to raise
FileNotFoundErrorif the file does not exist before inserting a region is appropriate.- Replacing all matching regions with the same content can be surprising if multiple separate placeholders exist. If applicable, clarify whether it’s intentional or whether separate region markers might be needed.
- The rest of the region-based logic is well-structured, with a fallback to standard generation if
regionisFalse.pydantic_settings_export/cli.py (2)
4-4: Deprecation warnings: stacklevel adjustment.Using
warnings.warnwithstacklevel=1may hide the direct caller context. Consider usingstacklevel=2or higher so developers see their own code’s callsite.
11-14: Environment variable handling with.envfiles.
- The addition of
dotenv_valuesandload_dotenvis straightforward. This ensures .env merges with existing OS environment variables.- Check for consistency: multiple
.envfiles can override each other in unpredictable ways. Possibly note the merge order in docs (the last loaded file has the highest precedence).pydantic_settings_export/models.py (2)
50-80:get_type_by_annotationfunction for advanced type parsing.
- Handling
Union,Literal,ForwardRef, etc., is thorough, making the type-string logic more informative.- The fallback to
annotation.__name__ if annotation else "any"is a helpful fallback.- Consider whether removing
Nonefrom unions might hide fields that areOptional[X]. If you need to indicate optional fields in table docs, you may want to displayNone | SomeType.
188-198: Alias resolution withfield.alias,validation_alias, etc.
- This is a well-organized resolution of all possible alias definitions, including
AliasChoicesandAliasPath.- If multiple transformations occur, consider whether duplicates can arise. Possibly do
set(aliases)if deduplication is beneficial.pydantic_settings_export/generators/simple.py (1)
23-57: Consider breaking down the generate_single method for better maintainability.The method is marked with
noqa: C901indicating high complexity. Consider splitting it into smaller, focused methods:
- Header generation
- Field documentation generation
- Field metadata formatting
class SimpleGenerator(AbstractGenerator): + def _generate_header(self, name: str, docs: str) -> str: + hash_len = len(name) + result = f"{name}\n{'#' * hash_len}\n" + if docs: + result += f"\n{docs}\n" + return result + + def _format_field_name(self, field_name: str, deprecated: bool) -> str: + result = f"`{field_name}`" + if deprecated: + result += " (⚠️ Deprecated)" + return result + + def _generate_field_docs(self, field) -> str: + result = "" + if field.description: + result += f"\n{field.description}\n\n" + if field.default: + result += f"Default: {field.default}\n" + if field.has_examples(): + result += f"Examples: {', '.join(field.examples)}\n" + return result + def generate_single(self, settings_info: SettingsInfoModel, level: int = 1) -> str: - docs = settings_info.docs.rstrip() - name = settings_info.name - hash_len = len(name) - result = f"{name}\n{'#' * hash_len}\n" - if docs: - result += f"\n{docs}\n" + result = self._generate_header(settings_info.name, settings_info.docs.rstrip()) for field in settings_info.fields: - field_name = f"`{field.full_name}`" - if field.deprecated: - field_name += " (⚠️ Deprecated)" + field_name = self._format_field_name(field.full_name, field.deprecated) h = f"{field_name}: {field.types}" result += f"\n{h}\n{'-' * len(h)}\n" - if field.description: - result += f"\n{field.description}\n\n" - - if field.default: - result += f"Default: {field.default}\n" - - if field.has_examples(): - result += f"Examples: {', '.join(field.examples)}\n" + result += self._generate_field_docs(field) return result.env.only-optional.example (1)
1-7: Add descriptive comments for each configuration option.While the variable names are clear, adding descriptive comments would help users understand the purpose and impact of each setting.
-# PYDANTIC_SETTINGS_EXPORT__DEFAULT_SETTINGS=[] -# PYDANTIC_SETTINGS_EXPORT__ROOT_DIR="<project_dir>" -# PYDANTIC_SETTINGS_EXPORT__PROJECT_DIR="<project_dir>" -# PYDANTIC_SETTINGS_EXPORT__RESPECT_EXCLUDE=true -# PYDANTIC_SETTINGS_EXPORT__ENV_FILE=null -# PYDANTIC_SETTINGS_EXPORT__RELATIVE_TO__REPLACE_ABS_PATHS=true -# PYDANTIC_SETTINGS_EXPORT__RELATIVE_TO__ALIAS="<project_dir>" +# List of default settings classes to process +# PYDANTIC_SETTINGS_EXPORT__DEFAULT_SETTINGS=[] + +# Root directory for the project (used for resolving relative paths) +# PYDANTIC_SETTINGS_EXPORT__ROOT_DIR="<project_dir>" + +# Project directory containing the settings files +# PYDANTIC_SETTINGS_EXPORT__PROJECT_DIR="<project_dir>" + +# Whether to respect exclude rules in settings +# PYDANTIC_SETTINGS_EXPORT__RESPECT_EXCLUDE=true + +# Path to the environment file (null for no file) +# PYDANTIC_SETTINGS_EXPORT__ENV_FILE=null + +# Whether to replace absolute paths with relative paths +# PYDANTIC_SETTINGS_EXPORT__RELATIVE_TO__REPLACE_ABS_PATHS=true + +# Alias to use when replacing absolute paths +# PYDANTIC_SETTINGS_EXPORT__RELATIVE_TO__ALIAS="<project_dir>"docs/.env.only-optional.example (1)
1-7: Environment Variable Template is Clear and Concise.
The added environment variable settings are well-formatted, providing clear placeholder values for each configuration option. One minor suggestion is to ensure a consistent quoting style for string values (e.g.,<project_dir>) if that is the intended format across all examples.docs/SimpleConfiguration.md (1)
9-9: Typographical Error in Description.
There is a small typo in the description forPYDANTIC_SETTINGS_EXPORT__ENV_FILE("he path" should be "The path").README.md (2)
29-29: Clarify Library Usage Disclaimer.
The note "This project is not well-designed for using as a library. But you still can use it as a code." may be rephrased for clarity and tone. For example: "While this project is primarily designed as a CLI tool, you can utilize its functionality within your own code if needed."
90-93: Consider Updating Todo Section Heading.
For consistency with common documentation standards, you might consider renaming "Todo" to "To-do" to enhance clarity.🧰 Tools
🪛 LanguageTool
[grammar] ~90-~90: It appears that a hyphen is missing in the noun “To-do” (= task) or did you mean the verb “to do”?
Context: ...", "wiki/Configuration.md", ] ``` ## Todo - [x] Add more configuration options -...(TO_DO_HYPHEN)
docs/Configuration.md (1)
11-17: Updated Configuration Table for Settings.
The table now reflects the updated types:
•PYDANTIC_SETTINGS_EXPORT__DEFAULT_SETTINGShas been changed fromlisttoarray.
•PYDANTIC_SETTINGS_EXPORT__ENV_FILEnow acceptsPath | NoneTypewith a default ofnull.Note: There appears to be a minor typo in the description for
PYDANTIC_SETTINGS_EXPORT__ENV_FILE("he path ..."). It should likely read "The path ...".- | `PYDANTIC_SETTINGS_EXPORT__ENV_FILE` | `Path` \| `NoneType` | `null` | he path to the .env file to load environment variables. Useful when you have a Settings class/instance, which requires values while running. | `null` + | `PYDANTIC_SETTINGS_EXPORT__ENV_FILE` | `Path` \| `NoneType` | `null` | The path to the .env file to load environment variables. Useful when you have a Settings class/instance, which requires values while running. | `null`
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.env.example(0 hunks).env.only-optional.example(1 hunks).gitignore(1 hunks).pre-commit-config.yaml(2 hunks)README.md(4 hunks)docs/.env.example(1 hunks)docs/.env.only-optional.example(1 hunks)docs/Configuration.md(1 hunks)docs/InjectedConfiguration.md(1 hunks)docs/SimpleConfiguration.md(1 hunks)pydantic_settings_export/cli.py(3 hunks)pydantic_settings_export/exporter.py(3 hunks)pydantic_settings_export/generators/__init__.py(1 hunks)pydantic_settings_export/generators/abstract.py(4 hunks)pydantic_settings_export/generators/dotenv.py(2 hunks)pydantic_settings_export/generators/markdown.py(3 hunks)pydantic_settings_export/generators/simple.py(1 hunks)pydantic_settings_export/models.py(8 hunks)pydantic_settings_export/settings.py(1 hunks)pydantic_settings_export/utils.py(3 hunks)pyproject.toml(4 hunks)
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- .env.example
✅ Files skipped from review due to trivial changes (3)
- pydantic_settings_export/generators/init.py
- docs/InjectedConfiguration.md
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🧰 Additional context used
🪛 LanguageTool
README.md
[grammar] ~90-~90: It appears that a hyphen is missing in the noun “To-do” (= task) or did you mean the verb “to do”?
Context: ...", "wiki/Configuration.md", ] ``` ## Todo - [x] Add more configuration options -...
(TO_DO_HYPHEN)
🔇 Additional comments (80)
pydantic_settings_export/settings.py (1)
3-4: Ensure Pydantic v2 availability forSettingsConfigDict
TheSettingsConfigDictimport requires Pydantic v2. Verify that your project'spyproject.tomlorrequirements.txtpins a compatible version of pydantic.pydantic_settings_export/generators/dotenv.py (13)
1-1: Import usage looks consistent
Importingwarningsis appropriate for handling deprecation warnings. No issues found.
3-3: Adoption of Literal & Self
UsingLiteralandSelfis beneficial for clarity and type safety. Ensure that your project targets Python ≥ 3.11, asSelfis only available starting in 3.11.
5-5: Model validator import
Themodel_validatorimport aligns with Pydantic v2’s updated validation approach. Looks good.
9-9: BaseGeneratorSettings import
Transitioning to a dedicated base settings class for generators improves modularity. No issues found.
13-13: Well-defined Literal forDotEnvMode
Defining the possible modes explicitly clarifies the permitted values. No issues.
16-16: Inheritance fromBaseGeneratorSettings
AdoptingBaseGeneratorSettingssimplifies generator-specific configuration handling. Good approach.
21-29: Deprecatednamefield
Markingnameas deprecated with a clear docstring and warning is a solid approach to maintain backward compatibility.
31-38: Usingpathslist
Storing multiple file paths in a dedicated list improves extensibility. No concerns here.
40-45: Additional configuration fields
New fields (split_by_group,add_examples, andmode) expand functionality in a clear way.
81-82: Optional group heading
Appending a heading whensplit_by_groupisTrueis a helpful feature. Implementation looks solid.
90-94: Selective export
Skipping required fields when only optional is requested, and vice versa, is a clean approach. No issues found.
96-96: Inserting examples
Conditionally adding examples with a comment is useful for clarity. No issues found.
101-103: Extra newline for readability
Appending an extra newline whensplit_by_groupis enabled enhances readability. Looks good.pydantic_settings_export/generators/abstract.py (11)
7-7: Import referencingPSESettings
Ensures direct access to project-wide settings. No concerns here.
19-36: NewBaseGeneratorSettingsclass
Centralizing generator settings (e.g.,enabled,paths) promotes code reuse and clarity. Implementation looks solid.
38-38: TypeVar update toC
BindingCtoBaseGeneratorSettingsis consistent with the new configuration approach. Good practice.
49-55: Refined initializer
Allowing an explicitgenerator_configfosters flexible customization when constructing the generator. No issues found.
67-67: Inline docstring extension
Appending generator name context intoconfig.__doc__is a helpful technique for self-documenting code. No issues found.
104-104:runmethod entry
Clear method signature for performing the actual generation. No issues identified.
110-111: Concise file content retrieval
Storing the generated text and file paths at the top ofrunis tidy and improves readability.
125-130:generators()static method
Returning a dictionary keyed by generator name is straightforward for enumeration. Implementation is fine.
132-134:create_generator_config_model()signature
Addingmultiple_for_singleparameter extends flexibility for single- vs. multi-generator setups. Good approach.
145-147: Dynamic default for multiple configs
Providing a default config instance in a list form ensures ease of use. This approach appears robust.
149-153: Dynamically building model fields
Constructing the model from the known generators is a neat, programmatic approach to config composition.pydantic_settings_export/generators/markdown.py (6)
1-29: Consolidate imports and TypedDict usage for clarity.Overall, these added imports (e.g.
import importlib.util,import warnings, and so on) and the introduction ofTableRowDictalong withTableHeadersEnumlook good. TheTypedDictfor table rows is clear in expressing which keys and value types are expected. The enum creation by iterating overTableRowDict.__annotations__is a neat approach and keeps the columns in sync. No issues found here.
130-163: Leveragemd_settingsin_make_table_row.
- The additional parameter
md_settingseffectively allows toggling case viato_upper_caseand ensures the row is generated consistently.- The union of aliases in line 139 (
name = UNION_SEPARATOR.join(q(a) for a in field.aliases)) is handled elegantly.- Consider verifying whether large sets of aliases or complex type unions need special formatting for more advanced use cases. Currently, logic is sound.
172-174: Inline table creation is straightforward.Using
make_pretty_md_table_from_dictwith configurable headers fromself.generator_config.table_headersis clean and readable. No improvements needed.
175-204: Multi-level documentation and table generation.
- The
table_onlytoggle is nicely integrated, skipping the header if requested.- Including environment prefix in line 190 is a good addition for clarity.
- Consider verifying (in the future) if nested environment prefixes should appear for each child settings block for clarity. Currently, logic is consistent with top-level prefix usage.
205-211: Extracting_single_tablelogic for all sub-settings.The recursion properly extends table rows to include child settings. This approach is simple and clear. No specific concerns here.
218-227: Unified content assembly ingenerate.
- Good use of
file_prefixcombined with either the aggregated table or the multi-level documentation.- Consider verifying concurrency or locks if multiple processes might generate docs at once, but that likely falls outside the scope of this method.
pydantic_settings_export/cli.py (13)
8-8: Bundled Tomllib usage.Loading toml via
tomllib(standard in Python 3.11) is good. If you aim to support older versions, ensure a fallback iftomllibis unavailable—though presumably addressed by the project’s Python version constraints.
17-18: SimpleGenerator import likely for help text generation.The presence of
SimpleGeneratorsuggests usage for the--help-generatorsfeature. Keeping it minimal and purposeful is fine. No concerns.
24-25: PROJECT_NAME fallback is well-handled.Dynamically reading the project name from
pyproject.tomlis a nice touch. No issues.
27-31: Conditional load of pyproject's name.
- Clean approach to check if
pyproject.tomlis available.- Make sure “project” is always the correct top-level key. This is standard in PEP 621, so it’s likely safe.
32-33: Creating generator config model.
create_generator_config_model(multiple_for_single=True)is a neat approach for dynamic generator configuration. No immediate concerns.
35-49:PSECLISettingsextendsPSESettingswith generator logic.
- Storing multiple generator configurations in
generatorsandgenerators_listis logically separated. This is a good pattern, though be mindful of possible confusion if a user sets both.exclude=Trueon these fields ensures they aren’t expected in the environment, which clarifies usage.
50-56: Optionalenv_fileusage.Having a single or multiple
.envfiles can reduce confusion for local environment overrides. Logic is clear.
58-61: Property-based approach forsettings.Importing settings classes with
import_settings_from_stringis flexible for dynamic usage. No red flags here.
63-97:validate_generatorsmethod ensures forward-compatibility.
- The consolidation of old-style generator config into new
generatorsis well-handled, with deprecation warnings.- The repeated usage of
warnings.warnwithDeprecated…is consistent, but again consider adjustingstacklevelif you want callsites.
98-109:validate_env_filemethod adds .env file support.
- Once the file is validated,
load_dotenv(file)is invoked. This approach seamlessly augments environment variables.- Consider logging or tracking that multiple files are loaded, which might help debug order-of-override issues.
111-121:get_generators()dynamic instantiation.
- Correctly retrieves the generator class from
AbstractGenerator.generators().- The iteration over configs in
gen_configsis flexible and intuitive.- No issues with error handling if an unknown generator name is provided, but consider a debug message or warning if that occurs.
137-151: Generator help text_generators_help.
- Generating sample documentation with
SimpleGeneratorfor each known generator is a clever approach.- A future enhancement might be to show partial usage or examples specifically for the CLI context, but this is already helpful.
169-267:make_parser&mainfor CLI arrangement and usage.
- Splitting arguments into groups (“help options” vs. “configuration options”) improves clarity.
- Accepting multiple
--env-fileinputs is beneficial, but the final merge strategy could be documented more explicitly (which file overrides which?).- The final generation of files with success message is consistent with typical CLI patterns.
- Overall, the CLI logic is robust and well organized.
pydantic_settings_export/models.py (9)
1-2: Better type handling with JSON capability.No issues with the
import jsonandimport typingchanges. They are standard for the new type-handling logic.
8-8: ExposingAliasChoicesandAliasPath.This ensures the model can interpret advanced alias scenarios. Good approach for capturing potential multi-alias definitions.
11-11:PydanticSerializationErrorimport for robust error catching.Catching and degrading to string ensures stable JSON serialization fallback. No concerns.
108-114: Switched from singletype: strtotypes: list[str].
- This change allows multiple recognized types for a single field. It’s a great improvement for union types.
- Make sure downstream code referencing
field.typeis updated to accommodate the new list.
112-113: Replaced singlealiaswithaliases.
- Lists of aliases better handle multiple alias definitions or nested paths.
- The
full_nameproperty references the first alias if present, which is logical for display.
116-120:full_name&has_examplesproperty.
- The logic for returning
aliases[0]ornameis simple and robust.- Checking if examples differ from the default value in
has_examplesis a tidy approach.
174-185: Incorporatingget_type_by_annotationinFieldInfoModel.from_settings_field.
- The new approach ensures union, literal, and forward-ref details are captured in
types.- Deprecation of single
aliasusage is well-handled by collecting them into a list ofaliases.
242-244: Prefix handling for nested settings.Here you automatically uppercase the nested prefix with
f"{prefix}{name}{nested_delimiter}".upper(). This is consistent with typical environment variable style. No issues.
281-289: Sourcingsettings_namefrom model config or class name.
- In line 283, retrieving
"title"fromconfis a great fallback.- In line 285, a fallback to
getattr(settings, "__name__", None)ensures class references are used. Nicely done.pydantic_settings_export/exporter.py (3)
5-5: LGTM! Import path updated for better code organization.The import statement has been updated to reflect the new module structure, improving code organization.
37-37: LGTM! Improved generator interface.Removing
self.settingsfromgenerator.runimproves encapsulation by passing only the required settings information.
18-18:❓ Verification inconclusive
Verify the impact of type annotation change.
The type annotation change from
list[type[AbstractGenerator]]tolist[AbstractGenerator]suggests a shift from class types to instances. This could affect how generators are instantiated and configured elsewhere in the codebase.Also applies to: 21-21
🏁 Script executed:
#!/bin/bash # Search for generator instantiation patterns rg -A 3 "AbstractGenerator"Length of output: 10569
Action: Verify Generator Instance vs. Class Usage Impact
The type annotation change in
pydantic_settings_export/exporter.py—fromlist[type[AbstractGenerator]]tolist[AbstractGenerator]—indicates the field is now expected to receive generator instances rather than classes. Please verify the following:
- Confirm that generators are properly instantiated before being passed to
exporter.py, as downstream logic in methods likerun_allmay rely on instance behavior.- Check for consistency across the codebase (e.g., in
cli.pywhere a different signature is used) to ensure this change does not lead to unexpected behavior or configuration mismatches.- Update documentation or usage examples if necessary, to clearly indicate that generator objects (and not generator classes) should be provided.
This comment also applies to the similar change on lines 21-21.
pydantic_settings_export/generators/simple.py (2)
10-14: LGTM! Well-structured settings class.The SimpleSettings class is well-organized with proper configuration and documentation.
16-22: LGTM! Clear generator class structure.The SimpleGenerator class follows good practices with clear name, config, and type annotations.
pydantic_settings_export/utils.py (4)
19-26: LGTM! Improved parameter naming.The parameter rename from
headertoheadersimproves clarity and consistency.
48-68: LGTM! Enhanced table generation with flexible headers.The addition of the optional
headersparameter improves flexibility while maintaining backward compatibility.
71-73: LGTM! Useful utility function.The
qfunction provides a convenient way to format strings with backticks.
94-104: LGTM! Improved built-in generator handling.The addition of built-in generator handling improves user experience by supporting both direct generator names and their class names.
.pre-commit-config.yaml (2)
53-53: Updatedruff-pre-commitVersion.
The update fromv0.8.0tov0.9.3should bring improvement and bug fixes. Please ensure that your team verifies compatibility with this new version.
67-68: Additional Dependencies for the Local Hook.
The inclusion ofadditional_dependencies: - '.[email,regions]'in thepydantic-settings-exporthook is a positive enhancement supporting optional features. Make sure these dependencies are also documented in the installation instructions for clarity..gitignore (1)
141-143: New Ignore Patterns Added.
The new entries to ignore local cache directories, temporary files, and specific paths (e.g.,*/tmp.py,wiki/, and.python_version) are well chosen to prevent clutter in version control. Double-check if the pattern__pycache__/is intentionally added alongside*/__pycache__/for broader coverage.Also applies to: 145-146
docs/SimpleConfiguration.md (1)
1-12: Well-Structured Configuration Table.
The Markdown table comprehensively documents the new configuration settings with clear types, defaults, and examples. This structured format should make it easy for users to understand and apply the settings.README.md (4)
3-7: Enhanced Project Badges.
The updated badges for project version, downloads, Python compatibility, and license provide improved visibility and essential project metrics.
34-35: Refined Import Statements.
The updated import statements now remove outdated references and ensure that only necessary components are imported, aligning well with the refactored code structure.
78-82: Updated dotenv Generator Configuration.
Changing the configuration to a list format ([[tool.pydantic_settings_export.generators.dotenv]]) is a clear improvement that enables multiple configurations. Please ensure that the documentation explains this new syntax clearly to users.
83-87: Markdown Generator Configuration Remains Consistent.
The markdown generator's configuration continues to be straightforward and effective, aligning with the refactored generator structure.docs/Configuration.md (1)
7-7: Updated CLI Settings Description.
The text on line 7 ("The settings for the CLI.") clarifies that the configuration applies to CLI settings, aligning well with the PR objectives.pyproject.toml (9)
23-23: Refined License Declaration Formatting.
The license declaration has been reformatted tolicense = { file = "LICENCE" }, which enhances readability and maintains consistency in spacing.
31-32: Updated Dependency Version Requirements.
The dependency versions have been updated to:
•"pydantic-settings>=2.3"
•"pydantic>=2.7"
These changes are in line with the PR objectives. Please ensure these version updates are compatible with the rest of the codebase.
43-50: Introduced Optional Dependencies.
A new[project.optional-dependencies]section has been added with:
•email = ["email-validator>=2.2.0"]
•regions = ["text-region-parser>=0.1.1"]
This change adds extra functionality and aligns with the project’s direction.
174-176: Default Settings Update.
The default settings reference has been updated from"pydantic_settings_export.settings:PSESettings"to"pydantic_settings_export.cli:PSECLISettings", reflecting the new CLI settings class as outlined in the PR objectives.
179-184: New Dotenv Generator Configuration Block.
A new configuration block for the dotenv generator has been introduced. It specifies paths for generating.env.examplefiles (including in the docs folder), which streamlines the environment export process.
185-193: Enhanced Dotenv Generator for Only-Optional Mode.
This additional block configures the dotenv generator for an"only-optional"mode. It introduces keys such asmode,split_by_group, andadd_examplesalong with specific file paths. This provides greater flexibility in handling optional settings.
194-198: Standard Markdown Generator Configuration Added.
A new markdown generator configuration block now targets typical configuration files (e.g.,docs/Configuration.mdandwiki/Configuration.md). This aligns with the broader documentation improvements.
200-203: Table-Only Markdown Configuration for Simple Configuration.
A dedicated markdown generator block here enables table-only output with a clear file prefix ("Simple Configuration. Just a table."). This concise format is beneficial for streamlined documentation.
207-213: Markdown Generator for Injected Configuration.
This block introduces a markdown generator intended for injected configuration documentation. Thetable_onlyflag, combined with aregionfield set to"config", enhances the output's specificity.
* Refactor and enhance project structure and documentation.
- Removed unused `.env.example` files from `docs/`.
- Introduced `CODE_OF_CONDUCT.md` and `CONTRIBUTING.md` for better community engagement.
- Consolidated example configurations into the `examples/` directory for clarity.
- Updated `.gitignore` to account for changes in example paths.
- Improved `dotenv` and `markdown` generators with clearer documentation and functionality.
- Enhanced README with detailed usage instructions and streamlined structure.
- Adjusted `pyproject.toml` to reflect updated example paths and settings.
- Refined CLI help descriptions for a better user experience.
- Added default generator initialization in `Exporter`.
- Updated Markdown documentation to better highlight features and formatting.
* Revert .gitignore to reflect the general Sphinx build directory.
- Replaced `examples/_build/` with `docs/_build/` in the `.gitignore` file.
* Refactor the generators and improve error handling.
- Introduce `DOTENV_MODE_MAP` and `DOTENV_MODE_MAP_DEFAULT` for mode mapping in `dotenv.py`.
- Consolidate file processing logic into `_process_region` in `markdown.py` with improved error handling.
- Add a warning mechanism for generator initialization failures in `exporter.py`.
- Extract constants `INDENT_CHAR` and `HEADER_UNDERLINE_CHAR` for better configurability in `simple.py`.
- Update documentation in `CONTRIBUTING.md`, `CODE_OF_CONDUCT.md`, and `README.md` for clarity and consistency.
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- Correct typo: `pyrightconig.json` to `pyrightconfig.json`.
- Update `__pycache__/` entry to `**/__pycache__/` for broader matching.
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🧹 Nitpick comments (15)
pydantic_settings_export/generators/dotenv.py (3)
13-20: LGTM! Consider adding docstring for DotEnvMode.The type definitions and mode mappings are well-structured. The DOTENV_MODE_MAP provides a clean way to handle different export modes.
Consider adding a docstring to explain the purpose and usage of each DotEnvMode option:
+"""Defines the mode for .env file generation. + +Options: + - "all": Include both optional and required variables + - "only-optional": Include only optional variables + - "only-required": Include only required variables +""" DotEnvMode = Literal["all", "only-optional", "only-required"]
54-65: Consider enhancing the deprecation warning message.The deprecation warning could be more informative by including migration instructions.
warnings.warn( - "The `name` attribute is deprecated and will be removed in the future. Use `paths` instead.", + "The `name` attribute is deprecated and will be removed in a future version. " + "Please migrate to using `paths: list[Path]` instead. Example: paths=[Path('.env.example')]", DeprecationWarning, stacklevel=1, )
74-117: Consider handling empty results case.The implementation looks good overall, but there's a potential edge case where all fields might be filtered out based on the selected mode, resulting in an empty output.
Consider adding a check for empty results and providing a helpful comment:
result = "" is_optional, is_required = DOTENV_MODE_MAP.get(self.generator_config.mode, DOTENV_MODE_MAP_DEFAULT) + has_content = False if self.generator_config.split_by_group: result = f"### {settings_info.name}\n\n" for field in settings_info.fields: field_name = f"{settings_info.env_prefix}{field.name.upper()}" if field.aliases: field_name = field.aliases[0].upper() field_string = f"{field_name}=" if not field.is_required and is_optional: field_string = f"# {field_name}={field.default}" elif field.is_required and not is_required: continue if field.examples and field.examples != [field.default] and self.generator_config.add_examples: field_string += " # " + (", ".join(field.examples)) result += field_string + "\n" + has_content = True result = result.strip() + "\n" if self.generator_config.split_by_group: result += "\n" for child in settings_info.child_settings: - result += self.generate_single(child) + child_result = self.generate_single(child) + if child_result.strip(): + result += child_result + has_content = True + if not has_content: + return f"# No {'optional' if is_optional else 'required'} environment variables found for {settings_info.name}\n" + return resultpydantic_settings_export/exporter.py (1)
45-45: Consider adding error details to the generator output.When a generator fails to run, it might be helpful to include the error details in the final output.
- for path in generator.run(*settings_infos) + try: + for path in generator.run(*settings_infos) + except Exception as e: + warnings.warn(f"Generator {generator.__class__.__name__} failed: {e}", stacklevel=2) + continuepydantic_settings_export/cli.py (2)
53-53: Fix typo in description.There's a typo in the env_file description.
- "he path to the .env file to load environment variables. " + "The path to the .env file to load environment variables. "
276-277: Consider adding validation for env file existence.The code updates environment variables but doesn't validate if the files exist.
for env_file in args.env_file: + if not Path(env_file.name).exists(): + warnings.warn(f"Environment file {env_file.name} does not exist", stacklevel=2) + continue os.environ.update(dotenv_values(stream=env_file))pydantic_settings_export/generators/markdown.py (2)
178-206: Consider adding retries for file operations.File operations could fail due to temporary issues. Consider adding retries for robustness.
+ def _retry_file_operation(self, operation: callable, max_retries: int = 3) -> Any: + """Retry a file operation with exponential backoff.""" + import time + for i in range(max_retries): + try: + return operation() + except OSError as e: + if i == max_retries - 1: + raise + time.sleep(2 ** i) + def _process_region(self, path: Path, content: str, constructor: "RegionConstructor") -> bool: try: if not path.is_file(): raise FileNotFoundError( f"The file {path} does not exist. " f"Please create this file before running the generator with the `region` option." ) - file_content = path.read_text() + file_content = self._retry_file_operation(lambda: path.read_text()) new_content = constructor.parse_content(file_content) if new_content == file_content: return False - path.write_text(new_content) + self._retry_file_operation(lambda: path.write_text(new_content)) return True
293-297: Consider adding progress tracking for file updates.When processing multiple files, it would be helpful to track progress.
updated_files: list[Path] = [] + total_files = len(file_paths) + print(f"Processing {total_files} files...") for path in file_paths: + print(f"Processing {path}...") try: if self._process_region(path, result, constructor): updated_files.append(path) except (OSError, FileNotFoundError) as e: warnings.warn(str(e), stacklevel=2) + print(f"Updated {len(updated_files)} of {total_files} files")examples/SimpleConfiguration.md (1)
3-11: Table Content and Typo Correction
The table is well-structured and provides comprehensive details on each configuration setting. One minor improvement: in the description forPYDANTIC_SETTINGS_EXPORT__ENV_FILE(line 9), "he path" should be corrected to "The path".examples/Configuration.md (1)
11-17: Global Settings Table Consistency
The Global Settings table is detailed and informative. Please correct the typographical error in thePYDANTIC_SETTINGS_EXPORT__ENV_FILEdescription (line 17) by replacing "he path" with "The path".examples/InjectedConfiguration.md (1)
7-19: Validation of the Injected Configuration Table
The configuration table under the injected region mirrors the details found in other documentation examples. As with previous files, please update thePYDANTIC_SETTINGS_EXPORT__ENV_FILEdescription (line 16) to begin with "The path" instead of "he path".README.md (2)
16-41: Markdown Unordered List Indentation
While the content is clear, several markdownlint warnings (MD007) suggest that the unordered list indentations could be adjusted to a 2-space style to improve consistency with common Markdown practices.🧰 Tools
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285-296: Contributing Guidelines – Tone and Clarity
The contributing section is comprehensive. One minor note: at line 289, static analysis flags a potential missing preposition before "Fork the repository." Consider rephrasing—for example, "After creating a GitHub Issue, fork the repository"—to improve clarity.🧰 Tools
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[uncategorized] ~289-~289: Possible missing preposition found.
Context: ...b Issue first — this is required 2. Fork the repository 3. Create a branch follo...(AI_HYDRA_LEO_MISSING_TO)
CONTRIBUTING.md (2)
6-13: Repository Cloning Instructions
The “Clone the repository” steps are clear and straightforward. Consider adding a note about creating and activating a virtual environment for Python—as a best practice—to help new contributors get started quickly.Suggested diff:
1. **Clone the repository** ```bash - git clone /~https://github.com/jag-k/pydantic-settings-export.git - cd pydantic-settings-export + git clone /~https://github.com/jag-k/pydantic-settings-export.git + cd pydantic-settings-export + # (Optional) Set up a virtual environment: + python -m venv env + # On Linux/Mac: source env/bin/activate + # On Windows: .\env\Scripts\activate ```
83-90: Release Process Details & Markdown List Indentation
The release process section is informative and details the steps maintainers should follow. However, static analysis flagged an unordered list indentation issue on line 86. It is recommended to remove the extra indentation on that bullet point.Suggested diff:
- - [@jag-k](/~https://github.com/jag-k) - [@jag-k](/~https://github.com/jag-k)🧰 Tools
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🔇 Additional comments (34)
pydantic_settings_export/generators/dotenv.py (1)
23-52: LGTM! Well-structured configuration class.The class is well-organized with clear field definitions, good descriptions, and appropriate examples. The transition from
nametopathsis handled gracefully with proper deprecation marking.pydantic_settings_export/exporter.py (1)
22-29: LGTM! Improved error handling during generator initialization.The new implementation gracefully handles initialization failures for individual generators while allowing others to continue.
.editorconfig (1)
11-16: LGTM! Improved file type-specific configurations.The separation of Markdown files with specific settings improves compatibility with Markdown syntax requirements.
examples/SimpleConfiguration.md (1)
1-2: Concise Introduction with a Clear Table Title
The introductory sentence is straightforward, and the table title clearly indicates its purpose.examples/Configuration.md (2)
1-4: Clear Introduction and Context Description
The heading and the opening lines effectively introduce the configuration options available through environment variables.
19-29: Effective Organization for Relative Directory Settings
The section on Relative Directory Settings is clearly delineated and provides all necessary details about these options.examples/InjectedConfiguration.md (1)
1-6: Informative Introduction to Injected Configuration
The introductory explanation effectively describes how content will be replaced between the defined region markers.CODE_OF_CONDUCT.md (5)
1-8: Comprehensive Project Context and Communication Guidelines
The opening sections clearly outline the project context and primary communication methods for contributors. This sets a positive tone for community engagement.
9-25: Well-Defined Secondary Contact and Development Priorities
The sections describing secondary contact methods and development priorities are well-organized and detailed.
26-40: Structured Contribution and Branch Guidelines
The contribution guidelines and branch naming conventions are clearly explained, ensuring contributors understand the process before making changes.
41-68: Detailed Explanation of Pull Request Requirements and CI/CD Process
The guidelines for pull requests, including reference requirements and GitHub Actions checks, along with the CI/CD process descriptions, are informative and thorough.
69-128: Thorough Platform Guidelines and Enforcement Policies
The latter sections comprehensively address GitHub interactions, PyPI security considerations, and enforcement measures. The external links and references add further clarity.README.md (13)
3-10: Updated Badges and Visual Presentation
The new badges in lines 3–10 are well integrated and provide valuable information (e.g., supported Python version and license). This visual update enhances the credibility and clarity of the project overview.
11-15: Enhanced Package Description
The revised description clearly states the package’s purpose and benefits. It succinctly communicates the capabilities for automated documentation generation, which is excellent for user onboarding.
16-23: Clear Overview of Key Features
The "Key Features" section effectively highlights the functionality available, such as documentation generation and smart configuration handling.🧰 Tools
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42-47: Requirements Section Clarity
The requirements are clearly outlined, including both the minimum Python version and the necessary dependencies. This helps users quickly verify compatibility.
48-52: Optional Dependencies Specification
The optional dependencies are well documented and include version constraints, which provide additional clarity on enhanced functionalities.
53-62: Comprehensive Installation Instructions
The installation code blocks for pip, pipx, and uv are straightforward to follow, making it easy for users to get started.
64-88: Effective Quick Start Guide and CLI Usage Examples
The Quick Start section, along with the CLI usage examples, gives users clear guidance on how to install, configure, and run the package. The code examples are well formatted and illustrative.
89-103: Clear Installation Methods
The separate installation section reinforces the recommended methods and provides alternative ways for different user preferences.
104-121: CLI and Help Command Usage
The section dedicated to CLI usage, including the help command, is clear and comprehensive. This makes exploring advanced options accessible for users.
122-175: Pre-commit and CI/CD Integration Examples
The provided configuration examples for pre-commit hooks and CI/CD workflows are precise, offering real-world guidance for integrating the package into development processes.🧰 Tools
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176-197: Programmatic Usage and Exporter Application
The example illustrating programmatic usage is clear and well-structured. It demonstrates how to run the exporter via code, which is valuable for users looking to integrate documentation generation into their applications.
201-219: Updated Configuration Examples
The configuration section (usingpyproject.toml) is concise and reflects the recent changes (e.g., multiple generator definitions). This update aids users in setting up the package correctly.
314-350: Consistent External References and Footer Information
The reference links and resource pointers at the end of the README are consistent and provide easy access to additional documentation and community resources.CONTRIBUTING.md (9)
1-5: Introduction Section Quality
The introduction clearly welcomes potential contributors and provides a brief overview of the document's purpose.
14-22: Development Environment Setup Instructions
The “Set up a development environment” section is well structured. It correctly instructs on installing dependencies and pre-commit hooks.
23-34: Code Style Guidelines
The section on code style clearly lists the tools (Ruff, MyPy, pre-commit) used to maintain code quality and points to their configuration inpyproject.toml.
35-57: Making Changes Workflow
The step-by-step instructions for creating a branch, running tests, updating documentation, and committing changes follow standard best practices. The reference to Conventional Commits is valuable.
60-67: Pull Request Process Clarity
This section lists clear steps for PR preparation, ensuring that contributors update relevant documentation and tests.
68-76: Testing Instructions
The testing section provides concise directions usingpytestalong with advice to add new tests in the appropriate directory.
77-82: Documentation Update Guidance
The documentation guidelines are clear, offering useful links to the GitHub Wiki and stressing the importance of maintaining up-to-date docstrings and examples.
91-96: Getting Help Section
This section effectively guides contributors on how to seek help via issues or discussions, providing the necessary links.
97-101: Code of Conduct Reference
The Code of Conduct section is concise and properly informs contributors about the project's required standards of behavior.
- Update CLI to handle missing environment files gracefully and warn users.
- Enhance error handling for generator initialization in `exporter.py`.
- Deprecate `name` field in dotenv generator with a migration warning.
- Add detailed docstrings and warnings for .env file generation modes.
- Fix typo in `.env` file description ("he" -> "The").
- Consolidate redundant entries in example .env files and settings tables.
- Add `uv` installation details to CONTRIBUTING.md for development setup.
- Removed the `content` parameter from `_process_region`.
- Converted `_process_region` to a `@staticmethod` as it no longer relies on instance attributes.
- Updated calls to `_process_region` to match the revised method signature.
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CONTRIBUTING.md (1)
94-102: Adjust Unordered List Indentation in the Release Process Section.
The markdownlint warning indicates that the unordered list item on line 97 ("Project owner: @jag-k") is indented whereas standard practice expects no indentation. Consider unindenting this item to meet MD007 guidelines.Suggested Change:
- - Project owner: [@jag-k](/~https://github.com/jag-k) + - Project owner: [@jag-k](/~https://github.com/jag-k)🧰 Tools
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🔇 Additional comments (24)
CONTRIBUTING.md (14)
1-5: Clear and Inviting Introduction.
The introduction effectively welcomes contributors and outlines the purpose of the document.
6-18: Detailed and Well-Formatted Development Setup Section.
The instructions for installinguvon different platforms and linking to more info are clear and the use of code blocks improves readability.
19-23: Concise Repository Cloning Instructions.
The steps to clone the repository are straightforward and provide clear navigational commands.
25-32: Effective Environment Setup Guidance.
The section covers both dependency installation usinguv sync --all-extrasand the setup of pre-commit hooks, ensuring that contributors have the tools needed for high-quality code.
34-45: Well-Outlined Development Process.
The description of code quality tools (Ruff, MyPy, pre-commit) and the mention of configuration inpyproject.tomlhelp orient contributors on maintaining code standards.
46-52: Clear Branching Instructions.
The steps provided for creating a new branch (usinggit checkout -b feature/your-feature-name) adhere to standard git workflows, facilitating a smooth contribution process.
53-57: Test Execution Guidance is Precise.
The directive to run tests usingpytestensures that changes are verified before committing. This promotes early detection of issues.
58-62: Good Documentation Update Instructions.
Including the commandpydantic-settings-export --generator markdownprovides a clear, actionable step for updating documentation as part of the development process.
63-69: Commit Instructions Follow Conventional Commits.
Using clear, concise instructions for adding and committing changes and pointing contributors to the Conventional Commits specification improves consistency and traceability in commit history.
71-78: Well-Defined Pull Request Process.
Detailing the steps required when submitting a PR (updating README, documentation, tests, and ensuring all checks pass) gives clear guidance that can help avoid incomplete submissions.
79-87: Comprehensive Testing Section.
The instructions for running tests withpytestand advising on test placement in thetests/directory provide clear directions to ensure quality and maintain standard testing practices.
88-93: Thorough Documentation Guidelines.
Encouraging contributors to update GitHub Wiki documentation, keep docstrings current, and add examples for new features fosters better project maintainability.
103-108: Clear 'Getting Help' Section.
The guidelines for opening an issue, starting a discussion, or asking questions are easy to follow and empower contributors to seek assistance when needed.
109-113: Verify Code of Conduct Link.
The document correctly references the Code of Conduct. Please ensure that theCODE_OF_CONDUCT.mdfile exists in the repository's root directory so that the link is valid for contributors.pydantic_settings_export/exporter.py (2)
22-29: LGTM! Improved error handling for generator initialization.The code now gracefully handles generator initialization failures by catching exceptions and logging them as warnings. This prevents a single generator failure from blocking the entire export process.
42-48: LGTM! Enhanced error handling in generator execution.The code now properly handles exceptions during generator execution, ensuring that a failure in one generator doesn't prevent others from running.
pydantic_settings_export/generators/dotenv.py (3)
13-27: LGTM! Well-documented DotEnvMode and mapping.The code introduces a clear and well-documented DotEnvMode type with a corresponding mapping that makes the behavior explicit and maintainable.
131-137: LGTM! Informative warning message for empty results.The code provides a clear warning message when no environment variables are found for a given mode, which helps users understand why no output was generated.
96-99:✅ Verification successful
Verify the mode handling logic.
The mode handling logic in
generate_singlerelies on theDOTENV_MODE_MAP. Please ensure that all possible mode values are handled correctly.
🏁 Script executed:
#!/bin/bash # Description: Verify that all DotEnvMode values are handled correctly. # Test: Search for all references to DOTENV_MODE_MAP to ensure consistent handling. rg -A 5 'DOTENV_MODE_MAP' # Test: Search for any direct string literals that match DotEnvMode values. rg -A 5 '"all"|"only-optional"|"only-required"'Length of output: 3463
Verification Complete: Mode handling is correct
The mapping in
DOTENV_MODE_MAPcorrectly covers all definedDotEnvModevalues ("all", "only-optional", "only-required") with appropriate tuple assignments, and the fallback viaDOTENV_MODE_MAP_DEFAULT(defaulting to "all") ensures robust handling of unexpected values. No further action is required.pydantic_settings_export/generators/markdown.py (2)
20-32: LGTM! Well-structured table row definition.The code introduces a clear TypedDict for table rows and generates an enum for headers, making the table structure explicit and maintainable.
179-206: LGTM! Robust region processing with clear error handling.The code provides comprehensive error handling for region processing, with clear error messages that help users understand and fix issues.
pydantic_settings_export/cli.py (3)
35-62: LGTM! Well-structured CLI settings class.The PSECLISettings class provides a clear and organized way to handle CLI-specific settings, with proper field descriptions and defaults.
169-271: LGTM! Comprehensive CLI argument parser.The make_parser function provides a well-organized and documented CLI interface with logical argument groups and clear help messages.
300-304: LGTM! Implemented requested error handling.The code now properly handles exporter initialization errors as requested in the previous review.
- Update an optional dependencies section with clearer names (`email` and `regions`) and descriptions.
- Improve instructions for installing with extras using pip.
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README.md (7)
16-23: Enhanced "Key Features" – Documentation GenerationThe "Key Features" section now presents a dedicated list for Documentation Generation, highlighting Markdown docs, environment file generation, region injection, and customizable output formats.
Note: Several list items have a 4-space indent whereas markdownlint expects 2 spaces; consider aligning the indentation for improved readability.🧰 Tools
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72-80: Step 2: Settings Model Example is EffectiveThe example demonstrating how to create a settings model using Pydantic’s BaseSettings is clear and concise. Including a brief inline comment about the significance of required versus optional fields could further enhance clarity.
286-303: Contributing Guidelines are Detailed and SupportiveThe step-by-step contribution process is well laid out, including forking, branch naming conventions, and PR submission.
Note: A static analysis hint flagged a possible missing preposition in this section (around line ~291). Please review and adjust the phrasing for grammatical correctness.🧰 Tools
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125-125: Static Analysis – Punctuation NoteA static analysis hint mentioned a possible missing comma in one of the list contexts. Please double-check the relevant list items for any needed punctuation adjustments to improve clarity.
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19-40: Markdown Lint – List IndentationMultiple list items across sections (Key Features, Smart Configuration Handling, Flexible Integration, Additional Features) currently use a 4-space indentation. Markdownlint recommends a 2-space indent for unordered list items. Consider revising these indents for consistency and compliance with MD007.
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269-269: Grammar Note on DeterminersA static analysis suggestion indicates that a determiner may be missing in one of the roadmap-related list items (around line 269). A brief review of the phrasing there could further polish the documentation.
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291-293: Grammar Note on Preposition UsageStatic analysis flagged a potential missing preposition in the contributing guidelines (around line 291). A small rewording (e.g., “Create a GitHub Issue first”—possibly refining to “Create a GitHub Issue as the first step”) might improve clarity.
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🔇 Additional comments (27)
README.md (27)
3-9: Updated Badge Section Looks ComprehensiveThe updated badges now include metrics from uv, Ruff, PyPI version/download stats, Python versions, and license details. This not only modernizes the header but also gives users immediate insight into the project’s status.
11-15: Improved Introduction SectionThe revised introduction succinctly emphasizes that the package exports Pydantic settings to documentation, clearly stating the value proposition.
24-29: "Smart Configuration Handling" Section is ClearThe bullet points explaining automatic type detection, environment variable validation, preservation of default values, and optional/required fields are well organized.
Reminder: Review the list indentation to comply with markdownlint MD007 rules.🧰 Tools
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25-25: Unordered list indentation
Expected: 2; Actual: 4(MD007, ul-indent)
26-26: Unordered list indentation
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27-27: Unordered list indentation
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28-28: Unordered list indentation
Expected: 2; Actual: 4(MD007, ul-indent)
30-35: "Flexible Integration" Details Are Well ArticulatedThe segment now nicely lists integration options (CLI, pre-commit hooks, GitHub Actions, Python API). The content is comprehensive and aids in understanding the available integrations.
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31-31: Unordered list indentation
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36-40: "Additional Features" Section Provides Valuable InsightsThe expanded list now covers email validation support, Markdown region injection, and multi-output paths with clear configuration through
pyproject.toml.
Observation: As with previous lists, verify that the indentation meets markdownlint expectations.🧰 Tools
🪛 markdownlint-cli2 (0.17.2)
37-37: Unordered list indentation
Expected: 2; Actual: 4(MD007, ul-indent)
38-38: Unordered list indentation
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39-39: Unordered list indentation
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40-40: Unordered list indentation
Expected: 2; Actual: 4(MD007, ul-indent)
42-47: Requirements Section ClarityListing the minimum Python version along with the necessary dependency versions for pydantic and pydantic-settings helps users quickly verify compatibility.
48-54: Optional Dependencies Section is Well DescribedThe optional "extras" are clearly detailed with both the dependency names and their purpose (e.g., email validation via
email-validator).
55-64: Installation Instructions for Optional DependenciesThe provided bash snippet clearly explains how to install with all extras or with specific ones. This multi-path guidance is useful for various user scenarios.
66-66: Quick Start Section IntroducedThe new "Quick Start" header immediately guides new users to the essentials by breaking down installation, settings model creation, and documentation generation into simple steps.
68-71: Step 1: Package Installation is StraightforwardThe installation command is clearly presented in a code block, making it accessible for beginners.
81-84: Step 3: Documentation Generation is ClearThe instructions for generating documentation via the CLI are concise and clearly formatted, providing users with a clear call to action.
88-89: Versioning Clarification is ValuableClarifying that GitHub uses a
v-prefixed versioning scheme while PyPI does not is a helpful detail for users managing releases and dependencies.
93-104: Installation Methods Cater to Different User PreferencesThe "Installation" section now outlines multiple methods (pip, pipx, uv) with corresponding code examples. This variety is helpful for users with different workflows.
106-110: Usage Overview Establishes Clear GuidanceBy introducing both CLI and programmatic usage options, this section immediately reassures users about the flexibility of the package.
110-124: Detailed CLI Usage ExamplesThe provided command examples, including support for multiple generators and a help command, are clear and practical.
Reminder: Verify the list indentation within and around the code blocks to address markdownlint MD007 warnings.
134-155: Pre-commit Hook Configuration is ComprehensiveThe YAML snippet for setting up a pre-commit hook is well structured and includes options for specifying settings files and extra dependencies.
156-177: CI/CD Integration Example Enhances AutomationThe example configuration for GitHub Actions to update documentation upon pushes adds practical automation details that align with modern CI/CD practices.
178-200: Programmatic Usage Example is InformativeThe programmatic usage code clearly demonstrates how to create and run an exporter using a settings model. This example helps bridge the gap for users who prefer API-based integration over CLI commands.
203-220: Configuration Section is Clear and ActionableThe example configuration in
pyproject.tomlis neatly presented, guiding users in setting default settings, environment files, and generator configurations.
222-238: Examples Section Broadens UnderstandingListing links to real-world examples (e.g., environment files and documentation formats) empowers users to see practical implementations of the configuration.
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239-248: "Learn More" Resources are Well OrganizedThe curated list of guides and documentation links effectively supports users who need further details about usage, configuration, and troubleshooting.
249-256: Project Motivation Section Clearly Articulates the Value PropositionExplaining the challenges in configuration management and how the project addresses them aligns well with user expectations and provides context.
263-277: Development Context Section is TransparentOutlining the development priorities and context provides users and potential contributors with insight into the project’s roadmap and maintenance approach.
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[grammar] ~269-~269: A determiner may be missing.
Context: ...eatures from Roadmap: - Issues with closest milestone. - General milestone issu...(THE_SUPERLATIVE)
277-285: Development Tools HighlightIncluding a list of modern Python development tools (uv, ruff, hatch, pre-commit) helps set expectations for contribution workflows and project management.
304-315: Support Section Provides Clear Contact ChannelsBoth primary and secondary contact methods are clearly provided, ensuring users know where to turn if they need help or wish to contribute further.
316-324: License Section is StraightforwardReferencing the MIT License with appropriate links ensures clarity on the project's licensing terms.
321-352: Reference Links are Organized and AccessibleThe collection of reference links at the end (covering PyPI, license, GitHub issues, discussions, and documentation guides) is well-managed and useful for navigation.
- Add markdownlint configuration for `MD007` rule (4-space indentation).
- Adjust indentation of list items under optional dependencies to match the configuration.
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README.md (2)
274-279: Minor Nitpick on Development Context Wording
In the "Development Context" section, there is a bullet point that reads "Issues with closest milestone." Consider revising it to "Issues with the closest milestone" to improve clarity.🧰 Tools
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[grammar] ~278-~278: A determiner may be missing.
Context: ...eatures from Roadmap: - Issues with closest milestone. - General milestone issu...(THE_SUPERLATIVE)
240-240: Minor Nitpick on Hyphenation in File Names
A static analysis hint suggests reconsidering hyphenation in compound modifiers (e.g., in the filename.env.only-optional.example). Since file names often follow a fixed naming convention, please review whether the hyphenation is intentional or if a more standard naming style is preferred.🧰 Tools
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[uncategorized] ~240-~240: Although a hyphen is possible, it is not necessary in a compound modifier in which the first word is an adverb that ends in ‘ly’.
Context: ...mple with comments and sections - [.env.only-optional.example](examples/.env.only-optional.ex...(HYPHENATED_LY_ADVERB_ADJECTIVE)
[uncategorized] ~240-~240: Although a hyphen is possible, it is not necessary in a compound modifier in which the first word is an adverb that ends in ‘ly’.
Context: ...d sections - .env.only-optional.example - Example with only optional f...(HYPHENATED_LY_ADVERB_ADJECTIVE)
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[grammar] ~278-~278: A determiner may be missing.
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🔇 Additional comments (9)
README.md (9)
1-8: Markdownlint Configuration Block Added
The new markdownlint configuration block at the top ensures that the document adheres to a consistent indentation rule (MD007 set to an indent of 4), which should help keep the markdown formatting uniform.
11-18: Revamped Badge Section
The badge section now features updated endpoints that display enhanced metrics—such as the Python version supported and the project license—in addition to download statistics. This not only updates the visual appeal but also provides richer project status details.
19-19: Clear Tagline Addition
The tagline "Export your Pydantic settings to documentation with ease!" succinctly captures the package’s purpose while immediately engaging the reader.
24-47: Comprehensive Key Features Section
The newly added Key Features section effectively outlines the package’s capabilities in several areas:
- Documentation Generation (with Markdown support including tables and descriptions, environment file generation, and region injection)
- Smart Configuration Handling (highlighting automatic type detection, validation, default preservation, and field requirement distinctions)
- Flexible Integration (covering CLI, pre-commit hooks, and GitHub Actions)
- Additional Features (such as email validation and multi-path outputs)
This clear and structured layout using visual icons enhances readability and immediately informs users of the major benefits.
50-62: Detailed Requirements Section
The requirements section now clearly lists the minimum Python version, necessary dependencies, and details for optional extras with straightforward instructions. This explicitness aids users in understanding both the base and enhanced functionality prerequisites.
65-72: Clear Installation Instructions
The installation steps—especially the commands provided for installing with all optional dependencies or with specific extras—are well-organized and easy to follow. This improves accessibility for users with different setup preferences.
74-94: Effective Quick Start and CLI Usage Instructions
The Quick Start guide along with the CLI usage examples offers clear, step-by-step instructions. Covering both basic usage and multiple generator invocations ensures that users have a straightforward entry point into the tool’s features.
191-208: Updated Programmatic Usage Section
By modifying the import to only bring inExporter—thereby removing deprecated imports likeGeneratorsandPSESettings—the programmatic usage example now reflects the refactored, cleaner API. This is an important update that aligns with the shift toward modern practices.
212-229: Refined Configuration Section
The configuration example forpyproject.tomlnow uses double square bracket notation for generator configurations (e.g.,[[tool.pydantic_settings_export.generators.markdown]]), which better supports multiple generator configurations. This change, along with the clear specification of options such as paths for generated files, provides users with a consistent and modern configuration structure.
- Renamed `examples/.env.only-optional.example` to `examples/.env.only_optional_mode.example`.
- Updated `pyproject.toml` and `README.md` references to the renamed file.
- Improved phrasing in README for clarity on milestones and contribution steps.
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README.md (2)
133-135: Nitpick: Consider Adding a Comma for Improved ReadabilityIn the sentence starting with "For complete documentation including:", adding a comma after "documentation" (i.e., "For complete documentation, including:") would enhance readability.
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297-305: Nitpick: Clarify Contribution InstructionsThe contribution guidelines could be made clearer. For example, in step "2. Fork the repository", consider adding extra context (e.g., "Fork the repository to your GitHub account") so that new contributors know exactly what is expected. This small clarification can improve overall comprehensibility.
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[uncategorized] ~300-~300: Possible missing preposition found.
Context: ...he first step — this is required 2. Fork the repository 3. Create a branch follo...(AI_HYDRA_LEO_MISSING_TO)
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🔇 Additional comments (5)
examples/.env.only_optional_mode.example (1)
1-5: Approved: Clear Environment Variable ExamplesThe example provides a clear list of environment variable settings that outline how to configure the package. These settings will help users understand available options.
README.md (4)
1-7: Approved: Added Markdownlint ConfigurationThe new markdownlint configuration comment block improves formatting consistency across the documentation. This proactive linting configuration is beneficial for maintaining style standards.
9-50: Approved: Updated Badge and Introductory SectionsThe updated badges and introductory description enhance the visual appeal and clarity of the project’s purpose. The new Key Features section clearly outlines what the package offers, which is in line with the PR objectives.
212-229: Approved: Enhanced Configuration ExampleThe sample configuration block in
pyproject.tomlis well organized and demonstrates the new multi-generator support. It aligns with your efforts to modernize the configuration handling.
9-120: Approved: Comprehensive Documentation UpdatesThe overall documentation—including the restructured badges, key features, requirements, installation instructions, and usage examples—is well organized. These updates provide a much clearer guide for users and effectively reflect the new functionality introduced in this PR.
- Remove duplicate and unnecessary comments from `.env.example` and `.env.only_optional_mode.example`.
- Fix minor grammar issues in the `README.md` for better clarity.
- Improve logic in `dotenv.py` by refactoring nested child settings generation.
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pydantic_settings_export/generators/dotenv.py (4)
60-72: Consider improving the deprecation warning stacklevel.The deprecation warning uses
stacklevel=1, which might not show the correct source location in the user's code.- stacklevel=1, + stacklevel=2,
82-94: Consider refactoring to reduce complexity.The
generate_singlemethod has high cyclomatic complexity (marked with noqa: C901). Consider breaking it down into smaller, focused methods.For example:
def _process_field(self, field: FieldInfo, settings_info: SettingsInfoModel) -> str: """Process a single field and return its .env representation.""" field_name = self._get_field_name(field, settings_info) return self._format_field(field_name, field) def _process_children(self, settings_info: SettingsInfoModel) -> str: """Process child settings and return their .env representation.""" return "".join( child_result for child in settings_info.child_settings if (child_result := self.generate_single(child).strip()) )
131-135: Improve the warning message clarity.The warning message could be more specific about the mode being used.
- f"# No {'optional' if is_optional else 'required'} environment variables found " - f"for {settings_info.name}", + f"# No environment variables found for {settings_info.name} in " + f"mode={self.generator_config.mode!r} " + f"(looking for {'optional' if is_optional else 'required'} variables)",
124-129: Consider simplifying child settings handling.The child settings processing could be simplified using list comprehension and the
anyfunction.- for child in settings_info.child_settings: - child_result = self.generate_single(child) - if child_result.strip(): - result += child_result - has_content = True + child_results = [ + self.generate_single(child) + for child in settings_info.child_settings + ] + has_content = has_content or any(r.strip() for r in child_results) + result += "".join(r for r in child_results if r.strip())
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🔇 Additional comments (20)
README.md (17)
1-7: Enhanced MarkdownLint Configuration Block Added
The addition of a markdownlint configuration block with customized MD007 settings improves consistency across Markdown files. This is a good practice to maintain styling consistency.
11-17: Updated Badge Section with Expanded Metrics
The new badge section now includes metrics for uv, Ruff, Python version, and license, which provides better visibility into project health and compatibility.
19-23: Refined Introductory Description
The revised tagline and introductory text clearly explain the package’s purpose and its seamless integration with Pydantic, which enhances the user’s first impression.
24-30: Clear and Concise Key Features Listing
The "Key Features" section is well-organized with bullet points that effectively highlight the major functionalities—including documentation generation, smart configuration handling, and flexible integration.
50-61: Detailed Requirements and Optional Dependencies
The requirements section now explicitly lists the Python version and dependency versions. The explanation of the optional dependencies (regions) is clear and provides all necessary details.
63-73: Clear Installation Instructions
The installation instructions, including the optional dependencies section and code blocks for different installation methods, are clearly written and easy to follow.
74-93: Effective Quick Start Guide
The step-by-step quick start instructions with code examples for installation, settings model creation, and documentation generation facilitate a smooth onboarding process.
115-132: Comprehensive CLI Usage Examples
The CLI usage section provides clear commands for both basic usage and multiple generator configurations. The help command example ensures that users can easily access the full set of options.
143-163: Well-Illustrated Pre-commit Hook Setup
The pre-commit hook configuration is properly documented with a YAML example. The inline comments clarify optional sections such as file filters and additional dependencies, which is very helpful.
165-185: Clear CI/CD Example for Documentation Updates
The GitHub Actions workflow example provides a concise yet thorough configuration for automating documentation generation. The steps are logically organized and well-commented.
187-208: Straightforward Programmatic Usage Example
The programmatic usage example demonstrates how to import and utilize theExporterclass effectively. The example is concise and serves as a good reference for developers integrating the package into their applications.
212-229: Updated Configuration Example in pyproject.toml
The configuration snippet shows the correct usage of TOML syntax by using double brackets for generator configuration entries. This update aligns with modern TOML practices and the new configuration handling introduced in the PR.
233-247: Practical Examples Section Enhances Usability
The examples provided for environment files and documentation offer real-world use cases that help users understand the output and integrate the tool more effectively into their projects.
248-257: Comprehensive "Learn More" Section
The "Learn More" section is well-curated, offering extensive links to resources, guides, and documentation. This aids users in exploring additional features and understanding the overall project context.
258-271: Well-Articulated Project Motivation
The "Why This Project?" section clearly communicates the problems being addressed and the benefits of the solution. This context is valuable for both users and potential contributors.
272-321: Enhanced Contributing and Support Information
Sections detailing development context, contributing guidelines, and support contacts are comprehensive and well-organized, offering clear directions for community engagement and issue reporting.
327-361: Accurate and Consistent License and Link References
The link references and license information at the end of the document are correctly formatted and provide reliable pointers to external resources such as PyPI, GitHub issues, and the project LICENSE.pydantic_settings_export/generators/dotenv.py (3)
13-26: LGTM! Well-structured type definitions and constants.The DotEnvMode type and DOTENV_MODE_MAP are well-documented and provide a clean implementation for handling different .env file generation modes.
34-42: LGTM! Proper deprecation handling.The deprecation of the
namefield is well-implemented with clear documentation and proper field marking.
44-58: LGTM! Well-structured field definitions.The new fields are well-documented with clear descriptions and examples. The
pathsfield provides a good replacement for the deprecatednamefield.
- Introduce and use `_process_field` method in `.env` generator to simplify field processing logic.
- Adjust stack level of all deprecation warnings from 1 to 2 for more accurate traceback context.
- Streamline `generate_single` method by replacing inline field logic with `_process_field`.
- Enhance child settings handling with cleaner aggregation of results.
- Update warning messages for missing environment variables with improved details.
- Import `FieldInfoModel` in dotenv generator for field processing.
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🧹 Nitpick comments (10)
pydantic_settings_export/cli.py (5)
27-30: Add error handling for pyproject.toml loading.The loading of PROJECT_NAME from pyproject.toml could fail if the file is corrupted or has an invalid format.
if self_pyproject_file.is_file(): - with self_pyproject_file.open("rb") as f: - PROJECT_NAME: str = load(f).get("project", {}).get("name", PROJECT_NAME) + try: + with self_pyproject_file.open("rb") as f: + PROJECT_NAME: str = load(f).get("project", {}).get("name", PROJECT_NAME) + except Exception as e: + warnings.warn(f"Failed to load project name from pyproject.toml: {e}", stacklevel=2)
111-121: Improve error handling in get_generators method.The method silently skips unknown generators, which could lead to confusion if a generator is misconfigured.
for name, gen_configs in self.generators: for gen_config in gen_configs: g = all_generators.get(name) if not g: + warnings.warn(f"Unknown generator '{name}' will be skipped", stacklevel=2) continue result.append(g(self, gen_config))
98-109: Use logging instead of print for env_file loading.Replace print statement with proper logging for better integration with application logging.
+import logging + +logger = logging.getLogger(__name__) + @model_validator(mode="before") @classmethod def validate_env_file(cls, data: Any) -> Any: if isinstance(data, dict): file = data.get("env_file") if file is not None: f = Path(file) if f.is_file(): - print("Loading env file", f) + logger.info("Loading env file %s", f) load_dotenv(file)
137-151: Optimize _generators_help function.The function creates a new PSESettings instance unnecessarily when it could reuse an existing one or use a simpler configuration.
-def _generators_help(generators_list: list[type[AbstractGenerator]]) -> str: +def _generators_help(generators_list: list[type[AbstractGenerator]], settings: PSESettings | None = None) -> str: """Create the help for the generators which provide a list of generators. :param generators_list: The list of generators. + :param settings: Optional settings instance to reuse. :return: The help text. """ - s = PSESettings() + s = settings or PSESettings() return SimpleGenerator(s).generate( *( SettingsInfoModel.from_settings_model(g.config, s)
276-280: Enhance environment file handling.The current implementation updates environment variables directly, which could lead to race conditions in multi-threaded applications. Consider using a more thread-safe approach.
+ env_vars = {} for env_file in args.env_file: if not Path(env_file.name).exists(): warnings.warn(f"Environment file {env_file.name} does not exist", stacklevel=2) continue - os.environ.update(dotenv_values(stream=env_file)) + env_vars.update(dotenv_values(stream=env_file)) + + # Update environment variables atomically + if env_vars: + os.environ.update(env_vars)pydantic_settings_export/generators/dotenv.py (3)
34-42: Consider consolidating path-related fields.The class currently maintains both deprecated (
name) and new (paths) fields for path configuration. While the deprecation handling is good, consider:
- Making
nameprivate with a leading underscore to discourage direct usage- Adding a property getter that warns on access
- name: Path | None = Field( + _name: Path | None = Field( None, description="The name of the .env file.", examples=[ ".env.example", ".env.sample", ], deprecated=True, ) + @property + def name(self) -> Path | None: + """Deprecated: Use paths instead.""" + if self._name is not None: + warnings.warn( + "The `name` attribute is deprecated. Use `paths` instead.", + DeprecationWarning, + stacklevel=2, + ) + return self._nameAlso applies to: 44-51
82-111: Enhance error handling in field processing.The
_process_fieldmethod could benefit from improved error handling and type safety:
- Add validation for field name length
- Handle potential None values in aliases
def _process_field( self, settings_info: SettingsInfoModel, field: FieldInfoModel, is_optional: bool, is_required: bool, ) -> str | None: + if not field.name: + raise ValueError("Field name cannot be empty") + field_name = f"{settings_info.env_prefix}{field.name.upper()}" - if field.aliases: + if field.aliases and all(alias for alias in field.aliases): field_name = field.aliases[0].upper() + elif field.aliases: + warnings.warn(f"Skipping invalid aliases for field {field_name}", stacklevel=2)
148-155: Consider adding logging for empty content warnings.The warning for empty content could be enhanced with logging to help track these occurrences during development.
+import logging + +logger = logging.getLogger(__name__) + if not has_content: + logger.debug( + "No environment variables found for %s in mode=%r", + settings_info.name, + self.generator_config.mode, + ) warnings.warn( f"# No environment variables found for {settings_info.name} in " f"mode={self.generator_config.mode!r} " f"(looking for {'optional' if is_optional else 'required'} variables)", stacklevel=2, )pydantic_settings_export/generators/markdown.py (2)
133-165: Enhance type safety in table row generation.The table row generation could benefit from stronger type safety:
- Add runtime type checking for field values
- Handle potential None values in field types
def _make_table_row( settings_info: SettingsInfoModel, field: FieldInfoModel, md_settings: MarkdownSettings, ) -> TableRowDict: + if not isinstance(field.types, (list, tuple)): + raise TypeError(f"Expected list or tuple for field.types, got {type(field.types)}") + name = q(settings_info.env_prefix + field.name) if field.aliases: name = UNION_SEPARATOR.join(q(a) for a in field.aliases) if md_settings.to_upper_case: name = name.upper() if field.deprecated: name += " (⚠️ Deprecated)" default = "*required*" if not field.is_required: default = q(field.default) example: str | None = None if field.examples: example = ", ".join(q(example) for example in field.examples) - types = UNION_SEPARATOR.join(q(t) for t in field.types) + types = UNION_SEPARATOR.join(q(t) for t in field.types if t is not None)
179-206: Improve error handling in region processing.The region processing error handling could be enhanced:
- Add specific exception types for different failure scenarios
- Include more context in error messages
+class RegionProcessingError(Exception): + """Base exception for region processing errors.""" + + +class RegionFileNotFoundError(RegionProcessingError): + """Raised when a region file is not found.""" + + +class RegionIOError(RegionProcessingError): + """Raised when there are IO issues with region processing.""" + @staticmethod def _process_region(path: Path, constructor: "RegionConstructor") -> bool: try: if not path.is_file(): - raise FileNotFoundError( + raise RegionFileNotFoundError( f"The file {path} does not exist. " f"Please create this file before running the generator with the `region` option." ) file_content = path.read_text() new_content = constructor.parse_content(file_content) if new_content == file_content: return False path.write_text(new_content) return True except OSError as e: - raise OSError(f"Failed to process region in {path}: {e}") from e + raise RegionIOError( + f"Failed to process region in {path}. " + f"Error: {e}. " + f"Please ensure you have write permissions and sufficient disk space." + ) from e
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pydantic_settings_export/generators/dotenv.py (1)
13-26: LGTM! Well-documented type definitions and constants.The DotEnvMode type and DOTENV_MODE_MAP are well-documented and provide clear options for .env file generation.
pydantic_settings_export/generators/markdown.py (2)
20-32: LGTM! Well-structured type definitions.The
TableRowDictTypedDict andTableHeadersEnumprovide a clear structure for table generation.
91-101: Region validation is properly implemented.The region feature is well-documented and includes proper validation for the text_region_parser dependency.
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Actionable comments posted: 1
🧹 Nitpick comments (18)
pydantic_settings_export/exporter.py (1)
22-29: Broad exception in generator instantiation may hide critical errors.
CatchingExceptionis convenient but can potentially mask severe issues. Consider narrowing the exception types or logging more details to facilitate debugging.pydantic_settings_export/generators/abstract.py (1)
66-66: Appending generator name to the config docstring is a minor but beneficial enhancement.
It helps with clarity and discoverability of generator-specific documentation.pydantic_settings_export/generators/dotenv.py (3)
20-27: Mapping DotEnvMode to booleans is clear.Defining
DOTENV_MODE_MAPfor modes is a succinct solution. However, consider including a docstring or comment clarifying how the(is_optional, is_required)tuple is interpreted beyond the inline comment, for future maintainers.
34-42: Deprecation handling is well-executed, but ensure thorough documentation.The introduction of the
name(deprecated),paths,split_by_group,add_examples, andmodefields is logically consistent. The docstrings and warnings help guide users, though you may want to cross-reference the new fields (paths) in the docstring ofnameor release notes.Also applies to: 44-51, 53-58
82-100: Clever logic for handling optional vs. required fields.The
_process_fieldmethod correctly checksis_optionalandis_required. The code is self-explanatory and covers the early return scenario when ignoring certain fields. For readability, however, consider adding brief inline comments describing the conditions.pydantic_settings_export/utils.py (2)
19-45: Enhanced table-generation logic.Renaming the parameter to
headersand maintaining alignment with row lengths is clear. Good use of string manipulation for consistent Markdown. However, if the dataset is large, watch out for potential performance overhead in repeated string concatenation.
94-107: Robust handling for built-in vs. external generators.The fallback logic clarifies how unknown inputs are routed to module-based imports. This is a good approach for bridging default and custom generators. Consider logging or warning if a user-specified generator name matches none of the built-ins or modules, for better user feedback.
pydantic_settings_export/cli.py (5)
24-31: Handle missing or malformed pyproject.toml gracefully.When loading
pyproject.toml, consider adding a try-except block or a warning if the file is malformed to avoid unexpected crashes.try: with self_pyproject_file.open("rb") as f: PROJECT_NAME: str = load(f).get("project", {}).get("name", PROJECT_NAME) +except Exception as e: + warnings.warn(f"Failed to parse pyproject.toml: {e}", stacklevel=2)
98-109: Potential error logging for non-existent.envfiles.Currently you load the file if it exists. If the file is malformed or loading fails silently, consider warning the user or adding error handling.
111-121: Graceful skipping of unknown generators.The code silently continues when a generator is not found. This can be convenient, but you might also warn the user to prevent silent misconfiguration.
if not g: continue + # Optionally, add a warning: + # warnings.warn(f"Unknown generator {name}, skipping...", stacklevel=2)
137-151: Helpful generator documentation.
_generators_helpnicely usesSimpleGeneratorto display generator info. Ensure the formatting is user-friendly (e.g., headings, bullet points).
169-271: Comprehensive CLI parser is well-structured.Your grouped argument definitions are clear. If the code grows, consider splitting into subcommands or subparsers to maintain readability.
pydantic_settings_export/generators/__init__.py (1)
4-4: Avoid wildcard import from.simple.Wildcard imports can pollute namespaces and lead to conflicts. Consider explicitly importing only needed classes/functions (e.g.,
from .simple import SimpleGenerator).pydantic_settings_export/generators/simple.py (2)
13-17: Consider enhancing settings documentation.While the class structure is correct, the settings class documentation could be more descriptive about what configuration options are available.
26-72: Improve code complexity and readability.The generate_single method is marked with noqa: C901, indicating high complexity. Consider breaking down the method into smaller, focused functions for better maintainability.
Here's a suggested refactoring:
- def generate_single(self, settings_info: SettingsInfoModel, level: int = 1) -> str: # noqa: C901 + def _generate_header(self, name: str, env_prefix: str | None, docs: str, indent: str) -> str: + header_line = HEADER_UNDERLINE_CHAR * len(name) + result = f"{indent}{name}\n{indent}{header_line}\n" + + if env_prefix: + result += f"\n{indent}Environment Prefix: {env_prefix}\n" + + if docs: + result += f"\n{indent}{docs}\n" + + return result + + def _generate_field(self, field, indent: str) -> str: + field_name = f"`{field.full_name}`" + if field.deprecated: + field_name += " (⚠️ Deprecated)" + + h = f"{field_name}: {field.types}" + result = f"\n{h}\n{'-' * len(h)}\n" + + if field.description: + result += f"\n{field.description}\n\n" + + if field.default: + result += f"Default: {field.default}\n" + + if field.has_examples(): + result += f"Examples: {', '.join(field.examples)}\n" + + return result + + def generate_single(self, settings_info: SettingsInfoModel, level: int = 1) -> str: + indent = INDENT_CHAR * (level - 1) + docs = settings_info.docs.rstrip() + + result = self._generate_header( + settings_info.name, + settings_info.env_prefix, + docs, + indent + ) + + for field in settings_info.fields: + result += self._generate_field(field, indent) + + return resultexamples/.env.only_optional_mode.example (1)
1-7: Add inline documentation for configuration options.Consider adding brief inline comments explaining each configuration option's purpose and expected values.
Example enhancement:
-# PYDANTIC_SETTINGS_EXPORT__DEFAULT_SETTINGS=[] +# Default settings to apply (comma-separated list) +# PYDANTIC_SETTINGS_EXPORT__DEFAULT_SETTINGS=[] -# PYDANTIC_SETTINGS_EXPORT__ROOT_DIR="<project_dir>" +# Root directory for resolving paths (defaults to project root) +# PYDANTIC_SETTINGS_EXPORT__ROOT_DIR="<project_dir>"CONTRIBUTING.md (1)
1-113: Comprehensive Contribution Guidelines.
This new CONTRIBUTING.md file offers detailed instructions for setting up the development environment, following coding standards, and managing the pull request process. The step-by-step setup instructions and clear code examples make it a valuable resource for contributors.Note: There is a minor markdownlint warning regarding unordered list indentation in the "Release Process" section (around line 98). Please verify that the list indentation complies with your project’s markdown style guidelines.
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98-98: Unordered list indentation
Expected: 0; Actual: 2(MD007, ul-indent)
pyproject.toml (1)
23-23: License Formatting Standardized.
The change to
license = { file = "LICENCE" }
enhances readability. Please confirm that the file name "LICENCE" (rather than the more conventional "LICENSE") is intentional for your project context.
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🔇 Additional comments (84)
pydantic_settings_export/exporter.py (5)
1-1: No actionable issues with the new import.
6-6: Import aligns with new module structure.
19-19: Confirm the transition from generator classes to generator instances.
This parameter is now typed as instances instead of classes. Ensure that all usage sites pass fully constructed generator objects (not classes), or handle instantiation accordingly.
42-49: Exception handling in each generator run may suppress unexpected errors.
The approach of continuing after anyExceptioncan be valid in a best-effort scenario. However, confirm that it’s acceptable to skip the rest of a failing generator. If partial output is undesirable, consider halting or re-raising the error.
50-50: Return statement successfully accumulates path outputs.pydantic_settings_export/settings.py (1)
3-4: New imports for pydantic tools are aligned with updated usage.
No conflicts or issues appear for these changes.pydantic_settings_export/generators/abstract.py (8)
7-8: Import usage for PSESettings is consistent with the new design.
19-36: New BaseGeneratorSettings class improves configurability.
Definingenabledandpathsis clear and maintainable. The__bool__method is a concise way to check usage readiness.
38-38: Type variable bound to BaseGeneratorSettings is appropriate.
This enforces strong typing for generator configurations.
49-55: Optional generator_config parameter offers flexibility.
Initializingself.generator_configwith either the provided config orself.config()is logical. Confirm that default usage ofself.config()meets all design needs.
104-111: Refactored run method uses local generate & file_paths for clarity.
Cohesive approach—no external dependencies. Validate that each generator's output is properly concatenated in multi-settings scenarios.
125-134: Static method generators() clarifies available entries.
This dictionary approach is convenient for enumerating and referencing generator classes by name.
144-147: Helper function _make_arg elegantly sets up model fields.
Using a callable default for list fields is a good practice in pydantic to avoid shared references.
150-156: create_generator_config_model properly builds a dynamic pydantic model.
This pattern is well-suited for aggregator configs, especially with themultiple_for_singleoption. Well-structured approach to generator composition.pydantic_settings_export/generators/dotenv.py (4)
1-3: Imports look consistent with new usage.The addition of
warningsandSelf(from Python 3.11) is appropriate. This reflects the class-based validator usage and proper warnings handling.
13-18: Good use of Literal for DotEnvMode.Restricting possible string values prevents invalid inputs and improves clarity. This aligns well with pydantic's type safety.
60-72: Effective model validator forpaths.The approach of auto-filling
pathsfromnameand warning about deprecation is well-handled. This ensures backward compatibility. Make sure to confirm that any other references tonameorpathsin documentation, tests, or examples remain consistent.
112-156: Cohesive generation of .env content with grouping logic.The main structure for
generate_singleis well-designed, illustrating how each field or child setting is woven into the final string. Paying attention to edge cases, such as no environment variables (triggering a warning), is good.pydantic_settings_export/utils.py (3)
11-11: AbstractGenerator import aligns with the new module structure.No issues here. Ensures consistent usage of the abstract generator within the utility methods.
48-68: Flexible headers argument improves reusability.Providing an optional
headersparameter inmake_pretty_md_table_from_dictis a neat extension. The way you collect all unique keys as a fallback is user-friendly.
71-73:q()utility function is handy for Markdown formatting.Wrapping strings in backticks is a clean approach to highlight code or variables in Markdown.
pydantic_settings_export/generators/markdown.py (19)
1-3: Imports for region support and warnings.The new imports align with the region-based insertion functionality. Keep in mind that you already check for the module’s availability and raise an error if missing, which is good.
5-7: Expanded type usage with TypedDict and StrEnum.Using
TypedDictfor structured data andStrEnumfor typed string enumeration helps make code more self-documenting and safer. Good practice.
10-10:qfunction usage for table formatting is consistent.This ensures uniform quoting in table output. It also matches the approach used across the codebase.
12-13: Transition to BaseGeneratorSettings is consistent with the new architecture.This helps unify generator configurations under one base class. No issues noted.
20-32: Enhanced table structure with typed headers and union separator.Defining
TableHeadersEnumand referencingTableRowDictis a clean approach. The consistent use ofUNION_SEPARATORis also appropriate.
35-44: Deprecated fields carefully replaced by new settings.The transition from
name/save_dirstopathsis thoroughly signposted with docstrings and warnings. Thepathsexamples help clarify usage.Also applies to: 51-59
61-65: Table customization fields empower flexible documentation.Fields such as
table_headers,table_only, andto_upper_caseare well documented, enabling fine-grained control over output. Good job clarifying possible string values via enumerations.Also applies to: 67-70, 72-81
82-89:table_onlywith "with-header" is a clear boundary solution.Allowing an optional header is a nice compromise for users who only want the table but still want minimal context.
91-101: Region-based logic validated withtext_region_parser.Raising a
ValueErrorif the module is not installed is important for a clear user experience. This is consistent with the newly introduced region approach.
103-118:validate_pathsusage for name/save_dirs deprecation.The method is well-structured, with a direct approach to converting older fields to
paths. The deprecation warning is appropriate.
120-126:validate_regionensures required dependency is installed.This is a straightforward check—raising early error helps avoid confusion. Implementation is concise and effective.
128-130: Boolean override for convenience.Returning
Trueif generator is enabled andpathsis populated is a nice shorthand.
133-165: Field row creation respects user configuration.
_make_table_rowmerges the prefix, alias, uppercase, default, and example logic effectively. The approach to marking deprecated fields with a symbol is user-friendly.
175-177: Separation of table compaction logic into_make_table.Relying on
make_pretty_md_table_from_dictis consistent. This method is small and direct, increasing clarity.
179-205: Region processing logic is thoroughly handled.Graceful fallback if the file does not exist, plus specialized error messages, is beneficial. Consider logging or re-raising with more context if needed.
218-241:generate_singlemethod organizes multi-level doc generation.Creating headers, building tables, and recursing child settings is intuitive. The code is readable and addresses hierarchy with minimal complexity.
245-250: Nested function_single_tablefor flattened table rows.Collecting rows recursively is excellent when producing a single consolidated table.
258-267: Flexible generation with or without prefix or tables.Using
table_onlyfor consolidated output or normal doc is well done. The code is straightforward with minimal branching.
269-299: Region-based insertion approach inrun.This logic complements the existing approach, ensuring a user can selectively embed or replace content. The fallback to
super().run()if no region is specified is also a neat pattern for reusability.pydantic_settings_export/cli.py (7)
4-8: Verifytomllibcompatibility.
tomllibis only built-in for Python 3.11+. For broader compatibility, consider a fallback import (e.g.,tomli) when running on older Python versions.Would you like a script to confirm Python's minimum required version throughout your repo?
11-13: Confirm Pydantic version support.You're using
SkipValidationandmodel_validator, which are pydantic v2 features. Ensure yourpyproject.tomlorsetup.pyenforces a compatible version of pydantic (>=2.0).
17-18: Imports for new generator functionality look good.Introduction of
SimpleGeneratorandSettingsInfoModelis consistent with the rest of the code. No immediate issues here.
32-32: Good usage ofmultiple_for_singleargument.Using
multiple_for_single=Trueallows more flexibility in generator configuration. Make sure to document it for contributors.
35-62: NewPSECLISettingsclass structure is clear.The class elegantly organizes CLI-specific settings like
generators,generators_list, andenv_file. This improves separation of concerns, though you may want to ensure thorough unit tests for each new field.
63-96: Deprecation handling invalidate_generators.Advising users with
DeprecationWarningis good. However, ensure there's test coverage for old-style vs. new-style generator configs to prevent regressions.
273-310: Main function logic is well-organized.The error handling around exporter initialization is good. Consider adding specialized error messages for known issues (e.g., missing settings, invalid env files).
pydantic_settings_export/models.py (10)
1-2: Added imports for JSON and typing.These seem appropriate for upcoming usage. No concerns here.
8-8: Check pydantic v2 usage of alias classes.
AliasChoicesandAliasPathare v2 features. Make sure your project pins the appropriate pydantic version.
109-114: Multiple types and aliases are well-handled.Switching from a single
type/aliastotypes/aliasesis a good approach for multi-type fields. Review how older code might interact with these new list-based fields to avoid breaking changes.
116-119:full_nameproperty is straightforward.This property gracefully defaults to the
nameif no aliases are present. No issues observed.
126-128:has_examplescheck is clear and concise.This method is user-friendly for determining existence of example values.
170-181: Integration withget_type_by_annotation.Using
get_type_by_annotationwithinfrom_settings_fieldis consistent. Just be mindful of privatetypingusage mentioned previously.
188-198: Robust alias handling.You're covering multiple alias patterns (
alias,validation_alias, etc.). This ensures thorough coverage of pydantic's capabilities.
242-243: Dynamic prefix/nested_delimiter retrieval.Acquiring these from
model_configis logical and keeps your code DRY. No concerns here.
248-251: Exclusion logic is consistent withglobal_settings.respect_exclude.No immediate issues. Ensure unittests cover partial excludes and advanced scenarios.
281-289: Derivingsettings_namefrom config/title.You handle fallback gracefully, ensuring a robust approach for naming. Good job.
pydantic_settings_export/generators/simple.py (1)
1-11: LGTM! Clean imports and configuration.The imports are well-organized and the configuration constants are appropriately defined.
.editorconfig (1)
11-16: LGTM! Appropriate file-specific configurations.Good separation of Markdown files with specific settings that preserve trailing whitespace needed for Markdown syntax.
.pre-commit-config.yaml (2)
67-68: LGTM! Appropriate dependencies added.The additional dependencies for email and regions support are correctly specified.
53-53:❓ Verification inconclusive
Verify ruff version compatibility.
The ruff version has been updated to v0.9.3. Please ensure this version is compatible with your Python version and other tools.
🌐 Web query:
What is the latest version of ruff and its Python compatibility requirements?💡 Result:
The latest version of Ruff is v0.9.0, released on January 9, 2025[1][4]. This version introduces a new 2025 stable style guide for formatting and stabilizes several lint rules and autofixes[1][4].
For Python compatibility:
- Linting: Supports code written for Python 3.7 through Python 3.13[2][3][6]
- Installation: Installable under any Python version from 3.7 onward[2][3]
- Type Comments: Does not respect type comments in pre-Python 3.7 code[2][6]
Key compatibility notes:
- Officially unsupported for Python 2.x
- May run on pre-3.7 code but without guarantees
- Defaults to targeting Python 3.8+ when no explicit version is configured[6]
Installation remains straightforward across platforms:
uv pip install --upgrade ruff # Recommended method[1][3] pip install ruff # Traditional Python installer[2][7]Ruff maintains its position as an ultra-fast (~10-100x faster than alternatives) linter/formatter written in Rust, combining functionality from tools like Flake8, Black, and isort[1][7][8].
Citations:
- 1: https://astral.sh/blog/ruff-v0.9.0
- 2: /~https://github.com/astral-sh/ruff/blob/main/docs/faq.md
- 3: https://docs.astral.sh/ruff/faq/
- 4: /~https://github.com/astral-sh/ruff/releases
- 5: https://pypi.org/project/ruff/0.0.182/
- 6: /~https://github.com/astral-sh/ruff/blob/main/BREAKING_CHANGES.md
- 7: https://pypi.org/project/ruff/
- 8: https://thetechbuffet.substack.com/p/ruff
- 9: https://realpython.com/ruff-python/
- 10: https://astral.sh/ruff
Ruff Version Compatibility Verification Required
The pre-commit configuration now references ruff-pre-commit version v0.9.3. However, external documentation shows the latest official Ruff release as v0.9.0—which supports Python 3.7 through 3.13. Please verify that:
- v0.9.3 is intentionally used (e.g., as a pre-release or custom update) and is available.
- This version maintains compatibility with your Python environment and does not introduce unintended changes relative to v0.9.0.
- Integration with other tools remains unaffected.
Ensure that any deviation from the officially documented version is well-documented and validated for your project’s requirements.
.gitignore (3)
141-141: Clear Python Cache Ignoring Pattern.
The addition of**/__pycache__/ensures that all bytecode cache directories at any nesting level are correctly ignored. This is in line with best practices for Python projects.
144-144: Typo Correction Confirmed.
Changingpyrightconig.jsontopyrightconfig.jsonfixes the typo and avoids any unintended tracking of misnamed files.
154-154: Additional Ignore Pattern for .aider Files.
Adding.aider*to the ignore list will ensure that any files or directories beginning with.aiderare excluded from version control, keeping the repository clean.examples/SimpleConfiguration.md (1)
1-12: Clear and Concise Configuration Overview.
The table provides a well-structured and easy-to-read summary of the available configuration options. It details the name, type, default value, description, and examples effectively, which will greatly aid new users.examples/Configuration.md (1)
1-29: Well-Organized Configuration Documentation.
The documentation clearly outlines all available environment variables with a detailed table. The separation into "Global Settings" and "Relative Directory Settings" makes it easy to understand and maintain. This update aligns perfectly with the overall improvements in configuration handling.examples/InjectedConfiguration.md (1)
1-20: Effective Demonstration of Injected Configuration.
This example clearly shows how the generator replaces content between region markers, and the included table is consistent with the documentation in other configuration files. This improves clarity for users on how configurations are dynamically injected.CODE_OF_CONDUCT.md (1)
1-128: New File: CODE_OF_CONDUCT.md is well-written and clear in establishing community guidelines.
This document comprehensively details project context, communication channels, contribution guidelines, and enforcement measures. All external references (e.g., GitHub Issues, Discussions, Wiki) are clearly defined. Please verify that all URLs, links, and the specified email address are current and correctly resolve in production.pyproject.toml (5)
4-4: Project Description Updated.
The new description:
"Export your Pydantic settings to documentation with ease!"
better encapsulates the broader functionality of the tool beyond generating only Markdown or dotenv examples.
31-32: Dependency Versions Updated.
Updating to"pydantic-settings>=2.3"and"pydantic>=2.7"ensures support for new features. Make sure to verify backward compatibility with existing users.
43-49: Optional Dependencies Added.
The additions foremail-validator>=2.2.0) andregions(text-region-parser>=0.1.1) are well-structured and provide enhanced functionality while keeping core dependencies lean.
175-175: Default Settings Update to CLI Settings.
Changing the default settings reference to"pydantic_settings_export.cli:PSECLISettings"aligns with the new CLI-focused usage. Ensure that all related documentation and examples reflect this update.
179-212: Generator Configuration Enhancements.
The updated configuration now supports multiple generator definitions for both dotenv and markdown outputs. Notable improvements include:
• The introduction of two separate dotenv generator entries with parameters likemode,split_by_group, andadd_examples.
• Multiple markdown generator entries, including options liketable_only,file_prefix, and, in one case,region.
These changes offer increased flexibility and should be clearly documented in your README and user guides.README.md (11)
1-8: Markdownlint Configuration Inclusion.
The added markdownlint configuration at the top helps maintain consistent formatting and improves overall documentation quality.
11-18: Updated Badge and Header Section.
The new badge set—including uv, Ruff, PyPI version/downloads, Python versions, and license—provides a complete and visually appealing project status overview.
19-23: Enhanced Introductory Description.
The updated tagline "Export your Pydantic settings to documentation with ease!" immediately conveys the tool’s enhanced capabilities. This aligns perfectly with the broader functionality reflected in the updated description inpyproject.toml.
24-31: Key Features Section.
The "Key Features" section clearly enumerates the extensive functionalities available—from advanced documentation generation to smart configuration handling and flexible integration options. This clarity will greatly help users understand the tool's benefits at a glance.
50-62: Updated Requirements and Optional Dependencies.
The expanded requirements section now accurately lists the necessary Python version and dependencies, as well as optional extras for additional features. The instructions and rationale are presented clearly.
63-72: Installation Instructions Clarity.
Providing multiple installation methods (using pip, pipx, and uv) caters to diverse user preferences and improves accessibility. The command examples are clearly delineated and easy to follow.
115-132: CLI Usage Section.
The CLI usage examples are concise, demonstrating both basic and advanced commands effectively. The multiple generator invocation examples reflect the updated generator configuration and help users get started quickly.
185-208: Programmatic Usage Section.
The code snippet illustrating how to use theExporterclass is straightforward and aligns with the updated import style (now only importingExporter). This reinforces the streamlined approach introduced in this PR.
212-230: Configuration Section Update.
The examplepyproject.tomlconfiguration now uses the double bracket syntax for generator definitions, accurately mirroring the updated settings structure. This example will serve as a useful guide for users to configure the tool correctly.
231-247: Examples Section.
Listing real-world examples of environment files and configuration documentation (such as.env.example,Configuration.md,SimpleConfiguration.md, andInjectedConfiguration.md) provides valuable reference material for users looking to implement the tool in various scenarios.
248-361: Remaining Documentation Sections.
The subsequent sections covering learning resources, contributing guidelines, support, and licensing are well-organized and comprehensive. All external links (to Wiki pages, GitHub resources, and external documentation) are included and contribute to an overall cohesive narrative of the project.
…obustness.
- Modularize CLI handling by introducing `_load_env_files`, `_setup_settings`, and `_process_generators` for better readability and reusability.
- Improve error handling for `pyproject.toml` parsing and environment variable file loading.
- Replace introspection (`__args__` and `__origin__`) with `get_args` and `get_origin` in `models.py` for cleaner type annotation handling.
- Enhance dotenv generator with detailed comments, refined field handling logic, and improved optional/required field processing.
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Actionable comments posted: 2
🧹 Nitpick comments (7)
pydantic_settings_export/generators/dotenv.py (1)
116-160: Consider refactoring for improved maintainability.The
generate_singlemethod handles multiple responsibilities. Consider extracting some logic into helper methods:
- Group header generation
- Child settings processing
- Content validation and warning generation
Example refactor:
- def generate_single(self, settings_info: SettingsInfoModel, level=1) -> str: + def _generate_group_header(self, settings_info: SettingsInfoModel) -> str: + """Generate the group header if split_by_group is enabled.""" + return f"### {settings_info.name}\n\n" if self.generator_config.split_by_group else "" + + def _process_child_settings(self, settings_info: SettingsInfoModel) -> tuple[str, bool]: + """Process child settings and return their content and content status.""" + child_results = [self.generate_single(child) for child in settings_info.child_settings] + has_content = any(r.strip() for r in child_results) + content = "".join(r for r in child_results if r.strip()) + return content, has_content + + def _warn_no_content(self, settings_info: SettingsInfoModel, is_optional: bool) -> None: + """Generate warning for no content.""" + warnings.warn( + f"No environment variables found for {settings_info.name} in " + f"mode={self.generator_config.mode!r} " + f"(looking for {'optional' if is_optional else 'required'} variables)", + stacklevel=2, + ) + + def generate_single(self, settings_info: SettingsInfoModel, level=1) -> str: """Generate a .env example for a pydantic settings class.""" result = "" is_optional, is_required = DOTENV_MODE_MAP.get(self.generator_config.mode, DOTENV_MODE_MAP_DEFAULT) has_content = False - if self.generator_config.split_by_group: - result = f"### {settings_info.name}\n\n" + result += self._generate_group_header(settings_info) for field in settings_info.fields: field_string = self._process_field(settings_info, field, is_optional, is_required) if not field_string: continue result += field_string + "\n" has_content = True result = result.strip() + "\n" if self.generator_config.split_by_group: result += "\n" - child_results = [self.generate_single(child) for child in settings_info.child_settings] - has_content = has_content or any(r.strip() for r in child_results) - result += "".join(r for r in child_results if r.strip()) + child_content, child_has_content = self._process_child_settings(settings_info) + has_content = has_content or child_has_content + result += child_content if not has_content: - warnings.warn( - f"# No environment variables found for {settings_info.name} in " - f"mode={self.generator_config.mode!r} " - f"(looking for {'optional' if is_optional else 'required'} variables)", - stacklevel=2, - ) + self._warn_no_content(settings_info, is_optional) return resultpydantic_settings_export/models.py (2)
117-130: Add validation in full_name property.While the implementation is good, the
full_nameproperty could benefit from additional validation to handle empty lists.Consider this improvement:
@property def full_name(self) -> str: """Get the full name (aliased or not) of the field.""" - return self.aliases[0] if self.aliases else self.name + return self.aliases[0] if self.aliases and len(self.aliases) > 0 else self.name
188-199: Add type hints for better code maintainability.The alias handling is comprehensive, but adding type hints would improve code maintainability and IDE support.
Consider adding type hints:
- aliases: list[str] = [] + aliases: list[str] = [] + validation_alias: str | AliasChoices | AliasPath | None = field.validation_alias if field.alias: aliases = [field.alias] - if field.validation_alias: - if isinstance(field.validation_alias, str): - aliases.append(field.validation_alias) - elif isinstance(field.validation_alias, AliasChoices): - aliases.extend(field.validation_alias.choices) - elif isinstance(field.validation_alias, AliasPath): - aliases = [".".join(map(str, field.validation_alias.path))] + if validation_alias: + if isinstance(validation_alias, str): + aliases.append(validation_alias) + elif isinstance(validation_alias, AliasChoices): + aliases.extend(validation_alias.choices) + elif isinstance(validation_alias, AliasPath): + aliases = [".".join(map(str, validation_alias.path))]pydantic_settings_export/cli.py (4)
27-33: Consider adding fallback mechanism for project name loading.The project name loading from pyproject.toml could fail silently. While warnings are properly handled, consider adding a more robust fallback mechanism.
try: if self_pyproject_file.is_file(): with self_pyproject_file.open("rb") as f: - PROJECT_NAME: str = load(f).get("project", {}).get("name", PROJECT_NAME) + data = load(f) + if "project" in data and "name" in data["project"]: + PROJECT_NAME = data["project"]["name"] + else: + warnings.warn("Project name not found in pyproject.toml", stacklevel=2) except Exception as e: warnings.warn(f"Failed to parse pyproject.toml: {e}", stacklevel=2)
68-99: Consider extracting generator validation logic.The generator validation logic is complex and handles multiple cases. Consider extracting it into separate methods for better maintainability.
@classmethod def validate_generators(cls, data: Any) -> Any: """Validate the generators.""" if not isinstance(data, dict): return data generators = data.setdefault("generators", {}) + cls._handle_old_style_configs(data, generators) + cls._validate_generator_configs(generators) + return data + +@classmethod +def _handle_old_style_configs(cls, data: dict, generators: dict) -> None: for generator in AbstractGenerator.ALL_GENERATORS: config = data.pop(generator.name, None) if config: - warnings.warn( - f"You use the old-style to set generator {generator.name} config. " - f"Please, use the new-style:\n" - f"- For toml file: `[[tool.pydantic_settings_export.generators.{generator.name}]]`" - f"The old-style will be removed in the future!", - DeprecationWarning, - stacklevel=2, - ) + cls._warn_old_style_config(generator.name) generators[generator.name] = [config] + +@classmethod +def _validate_generator_configs(cls, generators: dict) -> None: for name, gen_configs in generators.items(): if not isinstance(gen_configs, list): - warnings.warn( - f"You use the old-style to set generator {name} config. " - f"Please, use the new-style:\n" - f"- For toml file: `[[tool.pydantic_settings_export.generators.{name}]]`" - f"The old-style will be removed in the future!", - DeprecationWarning, - stacklevel=2, - ) + cls._warn_old_style_config(name) generators[name] = [gen_configs] - return data + +@classmethod +def _warn_old_style_config(cls, name: str) -> None: + warnings.warn( + f"You use the old-style to set generator {name} config. " + f"Please, use the new-style:\n" + f"- For toml file: `[[tool.pydantic_settings_export.generators.{name}]]`" + f"The old-style will be removed in the future!", + DeprecationWarning, + stacklevel=3, + )
140-154: Optimize generator help text generation.The current implementation creates a new PSESettings instance and SimpleGenerator for help text. Consider caching these for better performance.
+_help_settings = None +_help_generator = None + def _generators_help(generators_list: list[type[AbstractGenerator]]) -> str: """Create the help for the generators which provide a list of generators. :param generators_list: The list of generators. :return: The help text. """ - s = PSESettings() - return SimpleGenerator(s).generate( + global _help_settings, _help_generator + if _help_settings is None: + _help_settings = PSESettings() + if _help_generator is None: + _help_generator = SimpleGenerator(_help_settings) + return _help_generator.generate( *( - SettingsInfoModel.from_settings_model(g.config, s) + SettingsInfoModel.from_settings_model(g.config, _help_settings) # Get all available generators for g in generators_list ), )
276-289: Enhance error handling in environment file loading.Consider adding more specific error handling and logging of the actual error type.
def _load_env_files(env_files: Iterable[TextIO]) -> None: """Load environment variables from the provided env files. :param env_files: Iterable of file objects to load environment variables from. """ for env_file in env_files: if not Path(env_file.name).exists(): warnings.warn(f"Environment file {env_file.name} does not exist", stacklevel=2) continue try: os.environ.update(dotenv_values(stream=env_file)) - except Exception as e: - warnings.warn(f"Failed to load environment file {env_file.name}: {e}", stacklevel=2) + except ValueError as e: + warnings.warn(f"Invalid format in environment file {env_file.name}: {e}", stacklevel=2) + except OSError as e: + warnings.warn(f"Failed to read environment file {env_file.name}: {e}", stacklevel=2) + except Exception as e: + warnings.warn(f"Unexpected error loading environment file {env_file.name}: {e}", stacklevel=2)
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📒 Files selected for processing (3)
pydantic_settings_export/cli.py(3 hunks)pydantic_settings_export/generators/dotenv.py(2 hunks)pydantic_settings_export/models.py(8 hunks)
🔇 Additional comments (9)
pydantic_settings_export/generators/dotenv.py (4)
1-18: LGTM! Well-documented type definition.The DotEnvMode type is clearly documented with comprehensive explanations for each option.
20-26: LGTM! Clear and well-structured mode mapping.The DOTENV_MODE_MAP provides a clean mapping between modes and their boolean flags, making the code more maintainable.
29-73: LGTM! Well-implemented deprecation handling.The deprecation of the
namefield in favor ofpathsfollows best practices:
- Clear deprecation warning with migration guidance
- Backward compatibility maintained
- Type hints and documentation are comprehensive
82-114: LGTM! Comprehensive field processing implementation.The
_process_fieldmethod is well-implemented with:
- Clear parameter documentation
- Proper handling of field aliases
- Consistent formatting of optional/required fields
- Smart handling of examples
pydantic_settings_export/models.py (3)
1-9: LGTM! Well-organized imports.The imports are properly structured and include all necessary components for the enhanced type handling functionality.
110-115: LGTM! Improved field model flexibility.The changes to support multiple types and aliases enhance the model's capabilities while maintaining clear documentation.
243-244: LGTM! Improved settings model configuration.The changes enhance readability and make the configuration handling more robust:
- Better fallback handling for nested_delimiter
- Well-structured settings_name resolution with clear precedence
Also applies to: 282-290
pydantic_settings_export/cli.py (2)
172-274: Well-structured argument parser implementation!The argument parser setup is well-organized with clear grouping of options, comprehensive documentation, and helpful examples.
326-358: Robust main function implementation with proper error handling!The main function effectively orchestrates the CLI workflow with proper error handling for the exporter initialization, as suggested in previous reviews.
- Refactored project name resolution to `_make_project_name` with improved warnings.
- Updated type handling in `models.py` for annotations and aliases.
- Added detailed exception handling for environment file parsing and generator initialization.
- Improved warnings for missing or invalid configurations.
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Closes #9
Closes #6
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