Added Missing Type Annotations

agentic_security/core/app.py

@@ -4,10 +4,14 @@
 from fastapi import FastAPI
 from fastapi.responses import ORJSONResponse
 
+from agentic_security.http_spec import LLMSpec
+
 tools_inbox: Queue = Queue()
 stop_event: Event = Event()
 current_run: str = {"spec": "", "id": ""}
-_secrets = {}
+_secrets: dict[str, str] = {}
+
+current_run: dict[str, int | LLMSpec] = {"spec": "", "id": ""}
 
 
 def create_app() -> FastAPI:
@@ -26,29 +30,29 @@ def get_stop_event() -> Event:
     return stop_event
 
 
-def get_current_run() -> str:
+def get_current_run() -> dict[str, int | LLMSpec]:
     """Get the current run id."""
     return current_run
 
 
-def set_current_run(spec):
+def set_current_run(spec: LLMSpec) -> dict[str, int | LLMSpec]:
     """Set the current run id."""
     current_run["id"] = hash(id(spec))
     current_run["spec"] = spec
     return current_run
 
 
-def get_secrets():
+def get_secrets() -> dict[str, str]:
     return _secrets
 
 
-def set_secrets(secrets):
+def set_secrets(secrets: dict[str, str]) -> dict[str, str]:
     _secrets.update(secrets)
     expand_secrets(_secrets)
     return _secrets
 
 
-def expand_secrets(secrets):
+def expand_secrets(secrets: dict[str, str]) -> None:
     for key in secrets:
         val = secrets[key]
         if val.startswith("$"):

agentic_security/misc/banner.py

@@ -1,3 +1,4 @@
+
 from pyfiglet import Figlet, FontNotFound
 from termcolor import colored
 
@@ -8,14 +9,14 @@
 
 
 def generate_banner(
-    title="Agentic Security",
-    font="slant",
-    version="v2.1.0",
-    tagline="Proactive Threat Detection & Automated Security Protocols",
-    author="Developed by: [Security Team]",
-    website="Website: https://github.com/msoedov/agentic_security",
-    warning="",
-):
+    title: str = "Agentic Security",
+    font: str = "slant",
+    version: str = "v2.1.0",
+    tagline: str = "Proactive Threat Detection & Automated Security Protocols",
+    author: str = "Developed by: [Security Team]",
+    website: str = "Website: https://github.com/msoedov/agentic_security",
+    warning: str | None = "",  # Using Optional for warning since it might be None
+) -> str:
     """Generate a visually enhanced banner with dynamic width and borders."""
     # Define the text elements
 

agentic_security/report_chart.py

@@ -7,8 +7,10 @@
 from matplotlib.cm import ScalarMappable
 from matplotlib.colors import LinearSegmentedColormap, Normalize
 
+from .primitives import Table
 
-def plot_security_report(table):
+
+def plot_security_report(table: Table) -> io.BytesIO:
     # Data preprocessing
     data = pd.DataFrame(table)
 
@@ -141,7 +143,7 @@ def plot_security_report(table):
     return buf
 
 
-def generate_identifiers(data):
+def generate_identifiers(data: pd.DataFrame) -> list[str]:
     data_length = len(data)
     alphabet = string.ascii_uppercase
     num_letters = len(alphabet)

agentic_security/routes/scan.py

@@ -1,4 +1,6 @@
+from collections.abc import Generator
 from datetime import datetime
+from typing import Any
 
 from fastapi import (
     APIRouter,
@@ -24,7 +26,7 @@
 @router.post("/verify")
 async def verify(
     info: LLMInfo, secrets: InMemorySecrets = Depends(get_in_memory_secrets)
-):
+) -> dict[str, int | str | float]:
     spec = LLMSpec.from_string(info.spec)
     try:
         r = await spec.verify()
@@ -42,7 +44,7 @@ async def verify(
     )
 
 
-def streaming_response_generator(scan_parameters: Scan):
+def streaming_response_generator(scan_parameters: Scan) -> Generator[str, Any, None]:
     request_factory = LLMSpec.from_string(scan_parameters.llmSpec)
     set_current_run(request_factory)
 
@@ -63,15 +65,15 @@ async def scan(
     scan_parameters: Scan,
     background_tasks: BackgroundTasks,
     secrets: InMemorySecrets = Depends(get_in_memory_secrets),
-):
+) -> StreamingResponse:
     scan_parameters.with_secrets(secrets)
     return StreamingResponse(
         streaming_response_generator(scan_parameters), media_type="application/json"
     )
 
 
 @router.post("/stop")
-async def stop_scan():
+async def stop_scan() -> dict[str, str]:
     get_stop_event().set()
     return {"status": "Scan stopped"}
 
@@ -85,7 +87,7 @@ async def scan_csv(
     maxBudget: int = Query(10_000),
     enableMultiStepAttack: bool = Query(False),
     secrets: InMemorySecrets = Depends(get_in_memory_secrets),
-):
+) -> StreamingResponse:
     # TODO: content dataset to fuzzer
     content = await file.read()  # noqa
     llm_spec = await llmSpec.read()