Configuration Woes
Date: 2025 09-September 19
CB 0: Configuration Intro
here are some code snippets (pasted from Pavlov3D and Pipeline), and copied sections from a REPL session, and powershell investigation into the design and implementation of configuration in different workspaces AKA projects
keyring is of course another example of configurable values, with secure implimentaiton but ultimately much simpler and flat
i am looking for the best, stable ways to handle configuration
leveraging app data is good
leveraging files is cool
leveraging program settings is cool
please help me understand the different kind of configuration and default settings. Even to the level of loading a file as a starting place, and then allowing state to be manipulated
i am curious how to best handle complexity, and what are some examples of complexity
GG 0: Configuration Intro
Of course. Configuration is about separating the behavior of your application from the code itself, which makes your software more flexible and maintainable. Based on your provided code and session logs, you're already implementing several sophisticated patterns.
Here’s a breakdown of the different kinds of configuration, how to handle complexity, and how your Pavlov3D example fits in.
Types of Configuration & Settings
Configuration can be categorized by where it's stored and when it's read. A robust application often uses a combination of these, following a clear order of priority.
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Hardcoded Defaults: These are fallback values defined directly in the code. They ensure the program can run even with zero external configuration. Your
timezone_config = "America/Chicago"is a perfect example of this pattern. It's the last line of defense. -
Static Configuration Files: This is the most common method. You store settings in a file that is packaged with your application or located in a predictable place.
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Purpose: Defines the standard, default behavior of the application.
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Formats:
.toml(like you're using),.yaml,.json,.ini. TOML and YAML are often preferred for their readability. -
Your Example: The
config_input_16February.tomlfile is your primary configuration file for thesampleproject.
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User-Specific Configuration Files (Application Data): These files store user preferences and are located in the user's home directory (e.g.,
%APPDATA%on Windows,~/.configon Linux/macOS).-
Purpose: To allow a user to set personal defaults that override the application's static defaults across all projects. For example, a global
theme = "dark"setting. -
Tools: Python's
platformdirslibrary is excellent for finding these standard locations.
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Environment Variables: These are variables set in the operating system's shell.
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Purpose: Ideal for settings that change between environments (development, testing, production) without changing any code or files. This is crucial for security (like API keys) and for containerized applications (Docker).
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Example: You might have
DATABASE_URL=postgres://user:pass@host/dbset in your production environment.
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Secure Secrets Management: For sensitive data like passwords, API tokens, and certificates. Storing these in plain text is a major security risk.
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Purpose: To securely store and retrieve credentials at runtime.
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Your Example: The function using
keyringis the correct way to handle this. It leverages the OS's native secure storage (like Windows Credential Manager or macOS Keychain). Other tools include cloud services like AWS Secrets Manager or HashiCorp Vault.
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Runtime Configuration (In-Memory State): This refers to configuration that is set or changed while the application is running.
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Purpose: To allow dynamic changes to the application's behavior without a restart.
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Your Example: Your
PavlovShellis a perfect illustration. When you runproject --open sample, you are changing the application's internal state—the active project—at runtime. TheDirectories.projectclass variable holds this state.
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How to Handle Complexity
Complexity arises when you need to combine these different sources. The standard solution is a hierarchy of precedence, where more specific settings override more general ones.
A common and effective hierarchy is:
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Hardcoded Defaults (Lowest priority)
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Static Config File (e.g.,
config.tomlin the project) -
User-Specific Config File (e.g.,
~/.config/pavlov3d/settings.toml) -
Environment Variables
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Command-Line Arguments / Runtime Changes (Highest priority)
Your program would load settings in this order, with each step overwriting any values set by the previous step.
Examples of Complex Configuration Scenarios
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Hierarchical Settings: Instead of a flat list of keys, group related settings. This is something TOML and YAML do very well.
Ini, TOML
[database.production] host = "prod.db.server" user = "prod_user" [database.development] host = "localhost" user = "dev_user" -
Configuration Indirection (Your
config_entry.toml): This is a powerful pattern you're already using! Yourconfig_entry.tomldoesn't contain the configuration itself; it points to the file that does (config_input_16February.toml). This is fantastic because it allows you to swap out entire sets of configurations for a project by changing just one line. You could have settings for different experiments (run_A.toml,run_B.toml) and easily switch between them. -
Configuration Validation: As configs get complex, users will make mistakes. You need to validate the configuration when it's loaded. Does
timeouthave a numeric value? Isemaila valid email address? The Pydantic library is the industry standard in Python for this. You define your configuration structure as a class, and Pydantic automatically parses, validates, and provides type hints for your settings. -
Feature Flags: A type of configuration where you can turn application features on or off without deploying new code. This is often used for A/B testing or rolling out new features gradually.
Ini, TOML
[features] new_export_format_enabled = true alpha_user_interface = false
Analysis of Your Pavlov3D Implementation 🚀
Your current setup is well-designed and demonstrates a good grasp of these concepts.
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Workspace Pattern: You've successfully isolated configurations on a per-project basis (
projects/Don-EvonikPAA-MemphisCellulosevs.projects/sample). This is a robust way to manage different contexts. -
Centralized Path Management: The
Directoriesclass is excellent. It acts as a "single source of truth" for paths, preventing hardcoded file paths from being scattered throughout your code. It correctly manages the runtime state of the active project. -
Indirection: As mentioned, your use of
config_entry.tomlis a sophisticated way to manage different configuration profiles within a single project.
By combining these patterns, you can build a system that is both powerful for users and easy to maintain as a developer.
CB 1: Where should complex per-project files go?
So generally where would workspace AKA project folders like this go? They sort of have a whole complex folder that is an open way of handling what one binary proprietary file might handle in a piece of professional grade software.
users are generally allowed to safe their files whereever they want
items like dark mode configuration can easily be saved in C:\Users\user\.special\config.json or in Appdata, but for richer informing elements like per-project config, sets of import and export files per-project, and export files per-project, these probably don't belong in app data. Right now, they are tightly coupled with the 'projects' directory living in the same python project root as the src directory. I know ultimately I'll have to allow users to put things wherever they like, and also Appdata probably isnt the right spot.
GG 1: User Documents
You're absolutely right. Complex project folders are user documents, not application data, and they shouldn't live in AppData or be tightly coupled to your source code.
The standard and most user-friendly approach is to place them in the user's Documents folder by default, while giving the user the freedom to create and open projects from anywhere on their filesystem.
## Application Data vs. User Documents
There's a critical distinction that guides this decision:
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Application Data (
%APPDATA%or~/.config): This is for files your application needs to function, but the user doesn't directly interact with. Think of settings (dark_mode: true), cache, logs, or installation info. This data is often hidden and can be safely removed when the application is uninstalled. -
User Documents (
Documentsfolder): This is for files the user creates and owns. Word files, programming projects, video edits, and yourPavlov3Dproject folders all fall into this category. The user must be able to easily find, back up, move, and share this data. It must never be deleted during an uninstall.
Your project folders, with their configs, imports, and exports, are the user's valuable work. Sticking them in a hidden system folder like AppData would make them undiscoverable and difficult to manage.
## How to Implement This
Your goal is to decouple the location of the projects from the location of the application. Here’s a common implementation pattern seen in professional software (like Git, VS Code, or Adobe products).
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Establish a Default Workspace on First Run: When your application runs for the first time, it can create a default folder, like
C:\Users\YourUser\Documents\Pavlov3D Projects. This gives new users a sensible starting point. -
Use AppData for Pointers, Not Projects: Your application still needs to remember things, like which projects the user has worked on recently. A list of file paths to recent projects is a perfect thing to store in
AppData. For example, you could have a file likeC:\Users\YourUser\AppData\Roaming\Pavlov3D\settings.jsonthat contains:JSON
{ "last_opened": "C:\\Users\\YourUser\\Documents\\Pavlov3D Projects\\sample", "recent_projects": [ "C:\\Users\\YourUser\\Documents\\Pavlov3D Projects\\sample", "D:\\Work\\Client-Projects\\gpx", "C:\\Users\\YourUser\\Downloads\\bulldog-analytics-16Feb2025" ] } -
Provide "Open" and "New" Functionality: Your
PavlovShellwould then be updated.-
Instead of
project --open sample, which assumes the project is in a relativeprojectsdirectory, the command would accept a full path:project --open "D:\Work\Client-Projects\gpx". -
You'd add a command for creating new projects anywhere:
project --new "My Next Project" --path "C:\Users\YourUser\Desktop". This command would then build the requiredconfigs,imports, andexportssubdirectories insideC:\Users\YourUser\Desktop\My Next Project.
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This model gives you the best of both worlds: a simple, predictable default for new users and the complete flexibility and control that advanced users expect. 👍
CB 2 Project Documents Rigidity
D:\\Work\\Client-Projects\\gpx",
this is an example of a folder
the contents of that folder might have a very particular expected hierarchy and organization. If users move things, they can blow their leg off. But, they should also feel confident adding import files and editing the config, though these things can be handled by GUI or CLI primarily.
is it okay to expect that users can set the project folder location, but the contents must be not dragged around?
How would a user choose a project to open? I guess in the same way that VS code lets a user choose a root folder for a piece of software to open and edit.
GG 2, Free Location with Rigid Internal Structure:
Yes, it's perfectly okay—and in fact, it's the standard convention—to expect users to manage the project folder's location while insisting its internal structure remains unchanged.
Your comparison to VS Code is spot on. You open a single root folder, and the tool understands how to work with the contents because it expects things like a .vscode folder or a package.json file to be in specific places.
## The "Glass Box" Approach
Think of your project folder as a "glass box." The user can see everything inside and is allowed to interact with it in specific, controlled ways (like adding files to the imports folder). They can move the entire box wherever they want—from their Documents folder to a network drive. However, they shouldn't start rearranging the internal machinery.
This approach is standard for several key reasons:
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Predictability: Your code can reliably find necessary files using relative paths from the project root (e.g.,
project_root / "configs" / "config_entry.toml"). This makes your code simpler and far more robust than trying to search for files. -
User Clarity: It creates a clear mental model. The folder is the project. Everything it needs is inside. This boundary prevents confusion.
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Real-World Precedent: This is how almost all developer tools work. You don't move the
.gitfolder out of your repository, or thenode_modulesfolder out of your JavaScript project. Doing so would break them, and that's the accepted behavior.
## How Users Choose a Project
Just like an IDE, you provide a few straightforward ways for a user to select which project they want to work on.
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"Open Project" Command/Button: This is the primary method. It opens a native "Select Folder" dialog box, allowing the user to navigate their file system and choose the root directory of a project (e.g., they would select the
gpxfolder). -
"Recent Projects" List: This is essential for a good user experience. Your application should remember the paths to the last 5-10 projects the user has opened. This list can be shown on a welcome screen or accessed via a menu or command (
project --recent). The user can then select from the list instead of navigating the file system every time. This list of paths is stored in your application's settings file inAppData. -
"New Project" Command/Button: This would prompt the user for a project name and a location to save it. Your application would then create the root folder and populate it with the required internal structure (
configs,imports,exports, etc.).
This combination gives users both the explicit control to open any project anywhere and the convenience of quickly accessing their recent work. 👍
CB 3 Config vs State
Okay great
Where do you draw the line between configuration and state for complex projects? You mentioned before that
>
>
> Your `PavlovShell` is a perfect illustration. When you run `project --open sample`, you are changing the application's internal state—the active project—at runtime.
>
>
But to me, this is called configuration, especially because the files are stable even before they are loaded.
Also when a user loads a configuration .toml file, it introduces config, but they can change these given an order of precedence, in a gui or a CLI. I suppose that the file is loaded into an object which represents state and that object which lives in memory is mutable. but then i can back it up at any time and cast it past to state - though of course this is different for configuration which can be represented in the toml versus more complex examples of state which might require pickling or whatever.
GG 3: Config vs State
That's an excellent and subtle question. You're right that the line between configuration and state can be blurry. The key difference lies in their purpose and lifecycle: configuration is the blueprint, while state is the building-in-progress.
## Configuration: The Blueprint
Configuration is the set of instructions and parameters that tell your application how to behave before it starts doing any real work. It's generally static, human-readable, and defines your intent.
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Characteristics:
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Pre-execution: It exists on disk before being loaded.
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Declarative: It describes what you want to happen (e.g., "use this import file," "set the color theme to blue").
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Stable: It doesn't change unless a user explicitly edits the file or saves new settings.
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Your config_input_16February.toml file is pure configuration. It's a blueprint for a specific task.
## State: The Building-in-Progress
State is the live, in-memory snapshot of your application's condition at any given moment while it's running. It's the result of the configuration being loaded and acted upon.
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Characteristics:
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Runtime: It exists primarily in memory.
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Dynamic: It changes frequently as the user interacts with the application.
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Contextual: It represents what is happening right now.
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When you run project --open sample, the path C:\...\projects\sample becomes part of the application's state. The configuration files within sample are still configuration, but the application's active focus on that specific project is a temporary, in-memory condition—its state. If the power went out, the application would forget which project was open, but the configuration files on disk would be fine.
## The Blurry Line: Loading and Saving
You've hit on the exact point where the two concepts meet. The process looks like this:
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Load: You read a configuration file (
.toml) from disk. -
Initialize: You use that data to create objects and variables in memory. This is the initial state.
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Mutate: The user interacts with the GUI or CLI, changing values. They are now modifying the in-memory state. At this point, the state no longer perfectly matches the configuration file it came from.
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Persist: The user hits "Save." The application takes the current state and writes it back to a file on disk. That saved file is now the new configuration for the next time the app launches.
So, you're correct: a mutable object in memory is state. The act of saving it "cools it down" back into stable configuration. This is why complex state might need pickling (saving the live object itself), whereas configuration is best saved in a structured, human-readable format like TOML.
## A Quick Litmus Test 🤔
To decide if something is configuration or state, ask these questions:
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Is it something I'd check into Git? If yes, it's configuration. (You version your settings, not your temporary session data).
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If the app crashes, is it lost? If it's lost (and wasn't explicitly saved), it was state.
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Does it describe how to run or what's running now? "How to run" is configuration. "What's running now" is state.