finish app, update readme, update test inputs

hw4/README.md

@@ -0,0 +1,38 @@
+###### David Westgate 26 April 2024
+## HW4 for gensec
+This application is a Langchain agent which intends to be helpful at de-obfuscating javascript code. On the web, obfuscated javascript code is common to minimize javascript source file size, before they are sent over the network to the client and also to limit the ability to reverse engineer the function of javascript running on the client from enterprise web applications. The application is programming to ingest javascript source files both from the local machine, as well as from URLs.
+
+### Setup + Run
+Install python3, then
+```
+cd hw4
+pip install -r requirnments.txt
+python3 app.py
+```
+
+### Running
+```
+python3 app.py
+```
+
+### Example Input
+Test the ability to de-obfuscate a local javascript source
+```
+test/test.js
+```
+*Test file included is sourced from `https://www.gstatic.com/feedback/js/a3hbqvnh5213/api.js` licensed under Apache 2.0*
+
+Test the ability to de-obfuscate a javascript source from the web
+```
+https://www.gstatic.com/feedback/js/a3hbqvnh5213/api.js
+```
+
+Test the ability to identify non-javascript source file locally, ineligable for de-obfuscation
+```
+test/lorem.txt
+```
+
+Test the ability to identify non-javascript source file from the web, ineligable for de-obfuscation
+```
+https://www.lipsum.com/index.html
+```

hw4/app.py

@@ -1,18 +1,24 @@
-#derived from https://github.com/wu4f/cs410g-src/blob/main/05_CodeSummarize/01_python_parser.py
+# derived from https://github.com/wu4f/cs410g-src/blob/main/05_CodeSummarize/01_python_parser.py
 from langchain_community.document_loaders.generic import GenericLoader
 from langchain_community.document_loaders.parsers import LanguageParser
-from langchain_text_splitters import Language
 from langchain_openai import ChatOpenAI
 from langchain_core.runnables import RunnablePassthrough
 from langchain_core.prompts import PromptTemplate
 from langchain_core.output_parsers import StrOutputParser
+from langchain_community.document_loaders import AsyncHtmlLoader
 from dotenv import load_dotenv
-import readline
+from validators import url
+from time import time
+
 load_dotenv()
 
 llm = ChatOpenAI(model_name="gpt-4-turbo", temperature=0)
 
-def deobfuscate(path):
+
+def deobfuscate(path: str):
+    if url(path):
+        loader = AsyncHtmlLoader(path)
+    else:
         loader = GenericLoader.from_filesystem(
             path,
             glob="*",
@@ -29,24 +35,25 @@ def deobfuscate(path):
         """
     )
 
-    chain = (
-      {"text": RunnablePassthrough()} 
-      | prompt1
-      | llm
-      | StrOutputParser()
-    )
+    chain = {"text": RunnablePassthrough()} | prompt1 | llm | StrOutputParser()
     output = "\n".join([d.page_content for d in docs])
     result = chain.invoke(output)
-    return(result)
+    return result
 
-print("Welcome to my javascript code de-obfuscator. Supply a local or web path to an obfuscated javascript file and I will attempt to de-obfuscate it.")
+
+print(
+    "Welcome to my javascript code de-obfuscator. Supply a local or web path to an obfuscated javascript file and I will attempt to de-obfuscate it."
+)
 
 while True:
     try:
-        line = input("llm>> ")
+        line: str = input("llm>> ")
         if line:
-            result = deobfuscate(line)
-            print(result)
+            start_time = time()
+            result: str = deobfuscate(line)
+            end_time = time()
+            elapsed_time = round(end_time - start_time, 2)
+            print("\n",result,"\n\nElapsed time: ", elapsed_time, " seconds")
         else:
             break
     except Exception as e:

hw4/requirnments.txt

@@ -1,6 +1,6 @@
-langchain
 langchain-community
 langchain_openai
 python-dotenv
-unstructured
-langchainhub
+validators
+esprima
+time

hw4/test/lorem.txt

@@ -0,0 +1 @@
+Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.