Update defaults and rename study_plan to plan_name

Set default mode to `random` instead of `study-plan`. Renamed `study_plan` to `plan_name` across the codebase for clarity and consistency. Updated relevant documentation in the README to reflect these changes.

Author: nicholasadamou

PracticeFactory.py

@@ -169,10 +169,10 @@ def handle(self, args):
 class StudyPlanMode(PracticeMode):
     def handle(self, args):
         try:
-            log(f"Selected 🎯 Study Plan Mode: {args['study_plan']}", LogLevel.INFO)
+            log(f"Selected 🎯 Study Plan Mode: {args['plan_name']}", LogLevel.INFO)
 
             # Use the LeetCodeAPI's fetch_problems method
-            problem = self.get_random_study_plan_problem(args["study_plan"])
+            problem = self.get_random_study_plan_problem(args["plan_name"])
 
             if not problem:
                 log("No problems found for the selected study plan.", LogLevel.ERROR)

README.md

@@ -71,7 +71,6 @@ Optional arguments:
 - `--difficulty`: Choose between `easy`, `medium`, or `hard` or select multiple using comma-separated list (e.g., `easy,medium`).
 - `--open-in-browser`: Opens the problem in a browser window.
 - `--editor`: Specify a code editor for writing solutions. Supported editors: `default`, `vim`, `nano`, etc.
-- `--editor`: Open the code editor to write solutions. (e.g., `--editor code` or `--editor vim`)
 
 ### Custom Mode
 
@@ -81,10 +80,21 @@ Custom Modes enable solving specific problems or sets of problems by providing o
 python3 main.py --mode custom --problems two-sum
 ```
 
+Optional arguments:
 - `--open-in-browser`: Opens the problem in a browser window.
 - `--editor`: Specify the preferred code editor (e.g., `vim`, `nano`). Default is the system-configured default editor.
+
+### Study Plan Mode
+
+Study Plan Mode allows you to fetch random problems based on a specific study plan. You can specify the study plan name to fetch problems from that plan.
+
+```bash
+python3 main.py --mode study-plan --plan-name top-interview-150
+```
+
+Optional arguments:
 - `--open-in-browser`: Opens the problem in a browser window.
-- `--editor`: Open the code editor to write solutions. (e.g., `--editor code` or `--editor vim`)
+- `--editor`: Specify the preferred code editor (e.g., `vim`, `nano`). Default is the system-configured default editor.
 
 ## Configurations
 Squidleet uses a `LEETCODE_SESSION` cookie for authentication. Setting the `LEETCODE_SESSION` environment variable is necessary for all operations, including fetching and submitting problems.

services/CommandParser.py

@@ -9,7 +9,7 @@ def parse():
         type=str,
         choices=["custom", "random", "study-plan", "daily"],
         help="Practice mode",
-        default="study-plan",
+        default="random",
     )
     parser.add_argument(
         "--difficulties",
@@ -22,7 +22,7 @@ def parse():
         help="Comma-separated problem slugs (e.g., 'two-sum,fizz-buzz')",
     )
     parser.add_argument(
-        "--study-plan",
+        "--plan-name",
         type=str,
         help="Study plan slug (e.g., 'top-interview-150' or 'leetcode-75')",
         default="top-interview-150",

services/InputsCollector.py

@@ -14,7 +14,7 @@ def collect(cli_options):
         problems = cli_options.get("problems", "").split(",")
 
     log_level = cli_options.get("log_level", "INFO")
-    study_plan = cli_options.get("study_plan", "top-interview-150")
+    plan_name = cli_options.get("study_plan", "top-interview-150")
     language = cli_options.get("language", "python")
     time_limit = cli_options.get("time_limit", 45)
     editor = cli_options.get("editor", "default")
@@ -23,7 +23,7 @@ def collect(cli_options):
     inputs = {
         "practice_mode": practice_mode,
         "difficulties": difficulties,
-        "study_plan": study_plan,
+        "plan_name": plan_name,
         "problems": problems,
         "language": language,
         "time_limit": time_limit,
@@ -47,8 +47,8 @@ def _validate(inputs):
     if inputs["practice_mode"] == "custom" and not inputs.get("problems"):
         raise ValueError("At least one problem is required for Custom Practice mode.")
 
-    if inputs["practice_mode"] == "study-plan" and not inputs.get("study_plan"):
-        raise ValueError("Study plan slug is required for Study Plan mode.")
+    if inputs["practice_mode"] == "study-plan" and not inputs.get("plan_name"):
+        raise ValueError("Study plan name is required for Study Plan mode.")
 
     if inputs["difficulties"] and any(
         difficulty not in ["easy", "medium", "hard"]