added uv lock/venv and env file for pylance resolve sequence (#303)

.env

@@ -0,0 +1 @@
+PYTHONPATH=".:./common"

dev-notes.md

@@ -2,7 +2,9 @@
 
 ## vrnetlab module and vscode pylance
 
-since vrnetlab module is in the `common` dir the pylance extension in vscode will not be able to find the module reference in `launch.py` files. To fix this, add the following to the `settings.json` file in vscode:
+We added `.env` file in the root of the repo to add `common` dir to the python path so that the pylance extension can find the module.
+
+However, if this doesn't work for you, add the following to the `settings.json` file in vscode:
 
 ```json
 {

pyproject.toml

@@ -0,0 +1,7 @@
+[project]
+name = "vrnetlab"
+version = "0.1.0"
+description = "vrnetlab fork for Containerlab integration"
+readme = "README.md"
+requires-python = ">=3.11"
+dependencies = []

sros/docker/launch.py

@@ -47,15 +47,15 @@ def getMem(vmMode: str, ram: int) -> int:
     if vmMode == "integrated":
         # Integrated VM can use both MEMORY and CP_MEMORY env vars
         if "MEMORY" in os.environ:
-            return 1024 * get_digits(os.getenv("MEMORY"))
+            return 1024 * vrnetlab.get_digits(os.getenv("MEMORY"))
         if "CP_MEMORY" in os.environ:
-            return 1024 * get_digits(os.getenv("CP_MEMORY"))
+            return 1024 * vrnetlab.get_digits(os.getenv("CP_MEMORY"))
     if vmMode == "cp":
         if "CP_MEMORY" in os.environ:
-            return 1024 * get_digits(os.getenv("CP_MEMORY"))
+            return 1024 * vrnetlab.get_digits(os.getenv("CP_MEMORY"))
     if vmMode == "lc":
         if "LC_MEMORY" in os.environ:
-            return 1024 * get_digits(os.getenv("LC_MEMORY"))
+            return 1024 * vrnetlab.get_digits(os.getenv("LC_MEMORY"))
     return 1024 * int(ram)