Metadata-Version: 2.1
Name: raccoontools
Version: 1.0.0
Summary: A collection of tools, and helpers that I usually want for a handful of projects, so to avoid rewriting them every time, I decided to create this package.
Home-page: https://github.com/brenordv/pypi-raccoon-tools
Author: Breno RdV
Author-email: Breno RdV <hello@raccoon.ninja>
Maintainer-email: Breno RdV <hello@raccoon.ninja>
License: MIT License
Project-URL: Homepage, https://github.com/brenordv/pypi-raccoon-tools
Project-URL: Source, https://github.com/brenordv/pypi-raccoon-tools
Project-URL: Bug Tracker, https://github.com/brenordv/pypi-raccoon-tools/issues
Project-URL: Changelog, https://github.com/brenordv/pypi-raccoon-tools/blob/master/changelog.md
Project-URL: Author, https://raccoon.ninja
Keywords: retry,decorator,benchmark,logging,requests,json,file operations,serialization,http,utilities,tools,helpers,python
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Information Technology
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.9
Description-Content-Type: text/markdown
Requires-Dist: raccoon-simple-stopwatch==0.0.3
Requires-Dist: simple-log-factory==0.0.1
Requires-Dist: requests>=2.25.0
Requires-Dist: pydantic>=1.8.2
Requires-Dist: typing-extensions>=3.7.4.3

# Raccoon Tools
This is a collection of tools that I regularly use on several projects. To stop duplicating and to (hopefully) help
someone, I decided to make them into a public package.

# Functionalities
## Decorators

### `retry`
A decorator that retries a function call a specified number of times before giving up. 
It logs each attempt and the final failure if all retries are exhausted.

**Parameters:**
- `retries`: Maximum number of retries before giving up (default: 3).
- `delay`: Delay in seconds between each retry (default: 1).
- `delay_is_exponential`: If True, the delay between retries will increase exponentially (default: False).
- `only_exceptions_of_type`: A list of exception types to catch and retry on. If None, all exceptions are caught.
- `log_level`: The log level used by the decorator (default: logging.ERROR).

### `retry_request`
Like the previous decorator, but for HTTP requests. 
It logs each attempt and the final failure if all retries are exhausted. 
It also provides options to handle specific HTTP status codes.

**Parameters:**
- `retries`: Maximum number of retries before giving up (default: 3).
- `delay`: Delay in seconds between each retry (default: 1).
- `delay_is_exponential`: If True, the delay between retries will increase exponentially (default: False).
- `skip_retry_on_404`: If True, the decorator will not retry on 404 responses (default: False).
- `retry_only_on_status_codes`: A list of HTTP status codes to retry on. If None, no retries will be made.
- `get_new_token_on_401`: An optional callable to execute and get a new token when a 401 response is received.
- `get_new_token_on_403`: An optional callable to execute and get a new token when a 403 response is received.
- `log_level`: The log level used by the decorator (default: logging.ERROR).

### `benchmark`
A decorator that benchmarks the execution time of a function. 
The results are logged using the logging module at the INFO level. 
The decorated function can also provide benchmark information via the `get_benchmark_info` method.

## Shared Utilities

### `file_ops`
Provides functions to load and save JSON data to and from files.

- `load_json_from_file(file: Path, encoding: str = "utf-8") -> Union[dict, List[dict]]`: Loads a JSON file and returns the data as a dictionary or list of dictionaries.
- `save_json_to_file(data: Union[dict, List[dict]], target_file_or_folder: Path, dump_kwargs: dict = None, encoding: str = "utf-8") -> Path`: Saves a dictionary or list of dictionaries to a JSON file.

### `file_utils`
Provides utility functions for file operations.

- `get_filename_for_new_file(file_extension: str, prefix: str = None, add_current_datetime_as_format: str = "%Y%m%d%H%M%S%f", use_utc: bool = True, unique_identifier: Tuple[str, bool] = True, part_separator: str = "-", suffix: str = None) -> str`: Generates a unique filename for a new file.

### `http`
Provides utility functions for HTTP headers.

- `get_headers(token: str, content_type: str = "application/json", user_agent: str = None, fake_browser_user_agent: bool = False, extra_args: Dict[str, str] = None) -> Dict[str, str]`: Generates headers for an HTTP request.

### `requests_with_retry`
A wrapper around requests using the `retry_request` decorator.

- `get(url, params=None, **kwargs) -> requests.Response`: Sends a GET request with retry functionality.
- `options(url, **kwargs) -> requests.Response`: Sends an OPTIONS request with retry functionality.
- `head(url, **kwargs) -> requests.Response`: Sends a HEAD request with retry functionality.
- `post(url, data=None, json=None, **kwargs) -> requests.Response`: Sends a POST request with retry functionality.
- `put(url, data=None, **kwargs) -> requests.Response`: Sends a PUT request with retry functionality.
- `patch(url, data=None, **kwargs) -> requests.Response`: Sends a PATCH request with retry functionality.
- `delete(url, **kwargs) -> requests.Response`: Sends a DELETE request with retry functionality.

### `serializer`
Provides functions to serialize and deserialize objects.

- `serialize_to_dict(obj) -> Union[dict, List[dict], None]`: Serializes an object to a dictionary or list of dictionaries.
- `parse_csv(csv_data: str) -> List[dict]`: Parses a CSV string and returns a list of dictionaries.
- `csv_string_to_dict_list(data: Union[str, List[str], dict, List[dict]], no_data_return: str = "No data available") -> Union[List[dict], str]`: Converts a CSV string to a list of dictionaries.
- `dataset_to_prompt_text(dataset: List[dict]) -> str`: Converts a dataset to a prompt text.
- `obj_dump_serializer(obj)`: Serializes objects for saving data to a file.
- `obj_dump_deserializer(obj)`: Deserializes objects when loading data from a file.

# Changelog
- [Check the changelog here.](changelog.md)
