feature: monkeypatch httpx to have longer timeout

[brycedrennan]

PR Type

Enhancement, Other

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Description

• Introduced a TimedLog class to log the execution time of code blocks.
• Added a monkey_patch_httpx function to set a default timeout of 90 seconds for httpx requests.
• Implemented a configure_logging function to set up a standardized logging configuration.
• Enhanced the main function to include logging configuration and timing for commands.
• Updated generate_client function to include HTTPX monkey patching and execution timing.

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Changes walkthrough 📝

Relevant files

Enhancement

__main__.py Add logging, HTTPX timeout monkey patch, and execution timing graphpyshop/main.py Added TimedLog class for logging execution time of code blocks. Introduced monkey_patch_httpx function to set a default timeout for httpx requests. Implemented configure_logging function to set up logging configuration. Enhanced main function to include logging configuration and timing for commands. +79/-9

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PR Description updated to latest commit (1e6adff)

• Copy walkthrough table to "Files Changed" Tab

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PR Review 🔍

⏱️ Estimated effort to review [1-5]	3, because the PR introduces multiple changes across different functionalities including logging, performance measurement, and HTTP client behavior modification. The changes are moderate in size and complexity, involving both new classes and function modifications.
🧪 Relevant tests	No
⚡ Possible issues	Monkey Patching: The approach of monkey patching httpx functions directly could lead to maintenance issues and unexpected behavior in the future, especially if the httpx library updates its API or internal workings.
	Hardcoded Timeout: The timeout for HTTP requests is hardcoded to 90 seconds, which might not be suitable for all use cases and does not allow easy configurability.
	Global State Change: The monkey patch affects the global state of the httpx module which might interfere with other parts of the application or with other libraries that use httpx.
🔒 Security concerns	No

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PR Code Suggestions ✨

Category	Suggestion	Score
Possible issue	Patch additional HTTP methods in httpx to ensure all requests have a default timeout The monkey_patch_httpx function currently only patches the get and post methods of httpx. To ensure consistency and avoid potential issues, consider patching other common HTTP methods (put, delete, patch, etc.) as well. graphpyshop/main.py [35-53] -original_get = httpx.get +methods_to_patch = ['get', 'post', 'put', 'delete', 'patch'] -@functools.wraps(httpx.get) -def get(*args, **kwargs): - if "timeout" not in kwargs: - kwargs["timeout"] = new_timeout - return original_get(*args, **kwargs) +for method in methods_to_patch: + original_method = getattr(httpx, method) + + @functools.wraps(original_method) + def patched_method(*args, **kwargs): + if "timeout" not in kwargs: + kwargs["timeout"] = new_timeout + return original_method(*args, **kwargs) + + setattr(httpx, method, patched_method) -httpx.get = get - -original_post = httpx.post - -@functools.wraps(httpx.post) -def post(*args, **kwargs): - if "timeout" not in kwargs: - kwargs["timeout"] = new_timeout - return original_post(*args, **kwargs) - -httpx.post = post - Suggestion importance[1-10]: 8 Why: This suggestion addresses a significant issue where only get and post methods are patched, potentially leading to inconsistent behavior across different HTTP methods. Patching all methods ensures uniform handling of timeouts.	8
	Remove the @lru_cache decorator from the monkey_patch_httpx function to avoid potential unexpected behavior The monkey_patch_httpx function is decorated with @lru_cache, which might not be necessary and could lead to unexpected behavior. Consider removing the @lru_cache decorator. graphpyshop/main.py [27-28] -@lru_cache def monkey_patch_httpx(): Suggestion importance[1-10]: 7 Why: The use of @lru_cache on a function that patches methods could lead to unexpected caching behavior, which might not be desirable in this context. Removing it avoids these potential issues.	7
Enhancement	Log the duration in seconds with higher precision for better readability The TimedLog class currently logs the duration in milliseconds. For better readability and consistency, consider logging the duration in seconds with higher precision. graphpyshop/main.py [23-24] -duration = (time.time() - self.start) * 1000 -logging.info(f"{self.name} took {duration:.1f} ms") +duration = time.time() - self.start +logging.info(f"{self.name} took {duration:.3f} seconds") Suggestion importance[1-10]: 6 Why: Logging in seconds with higher precision can indeed improve readability and precision in logs, making this a useful enhancement.	6
	Add an argument to the configure_logging function to set the logging level dynamically The configure_logging function currently sets the logging level to INFO. To allow more flexibility, consider adding an argument to this function to set the logging level dynamically. graphpyshop/main.py [110-126] -def configure_logging(): +def configure_logging(level=logging.INFO): log_config = { "version": 1, "disable_existing_loggers": False, "formatters": { "standard": {"format": "%(asctime)s [%(levelname)s] %(name)s: %(message)s"} }, "handlers": { "default": { - "level": "INFO", + "level": level, "formatter": "standard", "class": "logging.StreamHandler", } }, - "loggers": {"": {"handlers": ["default"], "level": "INFO", "propagate": True}}, + "loggers": {"": {"handlers": ["default"], "level": level, "propagate": True}}, } logging.config.dictConfig(log_config) Suggestion importance[1-10]: 6 Why: Adding a parameter to dynamically set the logging level adds flexibility and allows for better control over logging preferences, which is a beneficial enhancement.	6