ci update (#3)

.github/FUNDING.yml

@@ -0,0 +1 @@
+github: [khulnasoft-bot]

.github/dependabot.yml

@@ -0,0 +1,20 @@
+version: 2
+updates:
+  # GitHub Actions
+  - package-ecosystem: "github-actions"
+    directory: "/"
+    schedule:
+      interval: "daily"
+    commit-message:
+      prefix: ⬆
+  # Python
+  - package-ecosystem: "pip"
+    directory: "/"
+    schedule:
+      interval: "monthly"
+    groups:
+      python-packages:
+        patterns:
+          - "*"
+    commit-message:
+      prefix: ⬆

.github/workflows/issue-manager.yml

@@ -0,0 +1,39 @@
+name: Issue Manager
+
+on:
+  schedule:
+    - cron: "10 3 * * *"
+  issue_comment:
+    types:
+      - created
+  issues:
+    types:
+      - labeled
+  pull_request_target:
+    types:
+      - labeled
+  workflow_dispatch:
+
+jobs:
+  issue-manager:
+    if: github.repository_owner == 'khulnasoft'
+    runs-on: ubuntu-latest
+    steps:
+      - name: Dump GitHub context
+        env:
+          GITHUB_CONTEXT: ${{ toJson(github) }}
+        run: echo "$GITHUB_CONTEXT"
+      - uses: khulnasoft/[email protected]
+        with:
+          token: ${{ secrets.ORG_REPO_TOKEN }}
+          config: >
+            {
+              "answered": {
+                "delay": 864000,
+                "message": "Assuming the original need was handled, this will be automatically closed now. But feel free to add more comments or create new issues or PRs."
+              },
+              "changes-requested": {
+                "delay": 2628000,
+                "message": "As this PR had requested changes to be applied but has been inactive for a while, it's now going to be closed. But if there's anyone interested, feel free to create a new PR."
+              }
+            }

.github/workflows/label-approved.yml

@@ -0,0 +1,27 @@
+name: Label Approved
+
+on:
+  schedule:
+    - cron: "0 12 * * *"
+  workflow_dispatch:
+
+jobs:
+  label-approved:
+    if: github.repository_owner == 'khulnasoft'
+    runs-on: ubuntu-latest
+    steps:
+    - name: Dump GitHub context
+      env:
+        GITHUB_CONTEXT: ${{ toJson(github) }}
+      run: echo "$GITHUB_CONTEXT"
+    - uses: docker://khulnasoft/label-approved:latest
+      with:
+        token: ${{ secrets.ORG_REPO_TOKEN }}
+        config: >
+          {
+            "approved-1":
+              {
+                "number": 1,
+                "await_label": "awaiting-review"
+              }
+          }

README.md

@@ -58,7 +58,7 @@ git clone https://github.com/KhulnaSoft/FastNode.git
 ```
 cd FastNode
 ```
-3. Create a copy of .env.example , and name it .env. Repeat this step for all the three modules - autonode, yolo, ocr
+3. Create a copy of .env.example , and name it .env. Repeat this step for all the three modules - fastnode, yolo, ocr
 
 4. Ensure that Docker is installed on your system. You can download and install it from [here](https://docs.docker.com/get-docker/).
 
@@ -101,10 +101,10 @@ FastNode operates based on a site-graph that defines the navigation and actions
 
      #### Sending a Request to FastNode
 
-     To automate a task with FastNode, you will use the /api/autonode/initiate endpoint. This endpoint accepts a JSON payload that specifies the task's objective, the path to the site-graph JSON file, the root node to start traversal, and the URL of the website you wish to interact with.
+     To automate a task with FastNode, you will use the /api/fastnode/initiate endpoint. This endpoint accepts a JSON payload that specifies the task's objective, the path to the site-graph JSON file, the root node to start traversal, and the URL of the website you wish to interact with.
 
      #### Request Structure
-     Here is the structure of the JSON payload you need to send to the `/api/autonode/initiate` endpoint:
+     Here is the structure of the JSON payload you need to send to the `/api/fastnode/initiate` endpoint:
 
      ```
      {
@@ -120,7 +120,7 @@ FastNode operates based on a site-graph that defines the navigation and actions
      {
         "site_url": "https://app.apollo.io/#/login",
         "objective": "Find the list of 20 ceo, cto of tech companies in san francisco. Login into apollo using the creds [email protected] and password dummypassword@123",
-        "graph_path": "autonode/site_trees/apollo.json"
+        "graph_path": "fastnode/site_trees/apollo.json"
         "planner_prompt": "apollo"
      }
      
@@ -137,7 +137,7 @@ FastNode operates based on a site-graph that defines the navigation and actions
 
      ```
      curl -X 'POST' \
-         'http://localhost:8001/api/autonode/initiate' \
+         'http://localhost:8001/api/fastnode/initiate' \
          -H 'accept: application/json' \
          -H 'Content-Type: application/json' \
          -d '{
@@ -223,8 +223,8 @@ Screenshots at every node for web element detection is stored in requests direct
 For use-cases which require downloading output, downloadable content (like output in apollo) needs to be stored either locally or remotely.
 
 1. Storing Screenshots & Downloads Remotely
- - In your autonode/.env file, configure AWS keys AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY from your AWS console
- - In autonode/services/autonode.py, uncomment the following snippet at line 35, 
+ - In your fastnode/.env file, configure AWS keys AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY from your AWS console
+ - In fastnode/services/fastnode.py, uncomment the following snippet at line 35, 
 
  ```
     # Uncomment If you have aws account and want to store result in your AWS S3
@@ -237,13 +237,13 @@ For use-cases which require downloading output, downloadable content (like outpu
  ```
     s3_client=None
  ```
- - In autonode/utils/screenshot_generator.py uncomment this on line 18,
+ - In fastnode/utils/screenshot_generator.py uncomment this on line 18,
 
  ```
     # Uncomment If you have aws account and want to store result in your AWS S3
     s3_client.upload_file(file_path=screenshot_filename)
  ```
- - In autonode/nodes/download.py uncomment this on line 44
+ - In fastnode/nodes/download.py uncomment this on line 44
  
  ```
     # Uncomment If you have aws account and want to store result in your AWS S3
@@ -252,7 +252,7 @@ For use-cases which require downloading output, downloadable content (like outpu
 
  2. Storing Screenshots & Downloaded files locally
  - By default, the screenshots and downloaded output are stored locally during execution and are deleted as the task completes or fails
- - In autonode/worker.py comment this finally block on line 79 to persist screenshots locally,
+ - In fastnode/worker.py comment this finally block on line 79 to persist screenshots locally,
  ```
     finally:
             # Comment if you don't want to delete screenshots locally

fastnode/agents/planning_agent.py

@@ -1,18 +1,18 @@
 from fastnode.agents.base_agent import BaseAgent
 from fastnode.llms.base_llm import BaseLlm
-from fastnode.prompts.openai_prompt import (AUTONODE_PLANNER_PROMPT_APOLLO,
-                                            AUTONODE_PLANNER_PROMPT_TWITTER,
-                                            AUTONODE_PLANNER_PROMPT_GMAIL)
+from fastnode.prompts.openai_prompt import (FASTNODE_PLANNER_PROMPT_APOLLO,
+                                            FASTNODE_PLANNER_PROMPT_TWITTER,
+                                            FASTNODE_PLANNER_PROMPT_GMAIL)
 
 
 class PlanningAgent(BaseAgent):
 
     def __init__(self, planner_prompt: str, llm_instance: BaseLlm):
         self.llm = llm_instance
         self.prompt_hash = {
-            "apollo": AUTONODE_PLANNER_PROMPT_APOLLO,
-            "twitter": AUTONODE_PLANNER_PROMPT_TWITTER,
-            "gmail": AUTONODE_PLANNER_PROMPT_GMAIL
+            "apollo": FASTNODE_PLANNER_PROMPT_APOLLO,
+            "twitter": FASTNODE_PLANNER_PROMPT_TWITTER,
+            "gmail": FASTNODE_PLANNER_PROMPT_GMAIL
         }
         self.prompt = self.prompt_hash.get(planner_prompt)
         fast().__init__(llm_instance)

fastnode/app.py

@@ -16,4 +16,4 @@
 
 @app.get("/health")
 async def health_check():
-    return {"status": "AutoNode is Running"}
+    return {"status": "FastNode is Running"}

fastnode/controllers/autonode.py

@@ -2,14 +2,14 @@
 from fastapi import APIRouter
 from fastnode.logger.logger import logger
 from fastnode.models.requests import Requests
-from fastnode.models.types.requests.initiate_fastnode import InitiateAutoNodeRequest
+from fastnode.models.types.requests.initiate_fastnode import InitiateFastNodeRequest
 from fastnode.utils.helpers.naming_helper import NamingHelper
 
 router = APIRouter()
 
 
 @router.post("/initiate")
-def initiate_fastnode(request: InitiateAutoNodeRequest):
+def initiate_fastnode(request: InitiateFastNodeRequest):
     try:
         req = Requests.add_request(session=db.session,
                                    description=request.objective,
@@ -26,7 +26,7 @@ def initiate_fastnode(request: InitiateAutoNodeRequest):
                                 planner_prompt=request.planner_prompt,
                                 screenshots_dir=f"requests/{NamingHelper.request_folder_name_generator()}")
 
-        return {"success": True, "message": f"Initiated AutoNode for Request ID {req.id} successfully"}
+        return {"success": True, "message": f"Initiated FastNode for Request ID {req.id} successfully"}
 
     except Exception as e:
         logger.error(f"Error initiating Fastnode: {str(e)}")

fastnode/logger/logger.py

@@ -32,7 +32,7 @@ def __call__(cls, *args, **kwargs):
 
 
 class Logger(metaclass=SingletonMeta):
-    def __init__(self, logger_name='AutoNode', log_level=logging.DEBUG):
+    def __init__(self, logger_name='FastNode', log_level=logging.DEBUG):
         if not hasattr(self, 'logger'):
             self.logger = logging.getLogger(logger_name)
             self.logger.setLevel(log_level)
@@ -78,5 +78,5 @@ def critical(self, message, *args):
             self.logger.critical(*args)
 
 
-logger = Logger('AutoNode')
+logger = Logger('FastNode')
 

fastnode/models/types/requests/initiate_autonode.py

@@ -1,7 +1,7 @@
 from pydantic import BaseModel
 
 
-class InitiateAutoNodeRequest(BaseModel):
+class InitiateFastNodeRequest(BaseModel):
     site_url: str
     objective: str
     graph_path: str

fastnode/prompts/openai_prompt.py

@@ -204,7 +204,7 @@
 
     """
 # Initiate Fastnode planner prompt
-AUTONODE_PLANNER_PROMPT_TWITTER = """
+FASTNODE_PLANNER_PROMPT_TWITTER = """
 You are an intelligent Self Operating Computer designed to perform autonomous cognitive RPA tasks using a graph-based execution model to interact with Twitter. Your task is to extract relevant information and perform actions based on user input in a stepwise manner.
 
 Instructions:
@@ -302,7 +302,7 @@
 
 """
 
-AUTONODE_PLANNER_PROMPT_GMAIL = """
+FASTNODE_PLANNER_PROMPT_GMAIL = """
 You are an intelligent Self Operating Computer designed to perform autonomous cognitive RPA tasks using a graph-based execution model to interact with Gmail. Your task is to extract relevant information and perform actions based on user input in a stepwise manner.
 
 Instructions:
@@ -463,7 +463,7 @@
 """
 
 # Initiate Fastnode & Planner prompt
-AUTONODE_PLANNER_PROMPT_APOLLO = """You are an intelligent agent which will help segregate filters and provide accurate and relevant 
+FASTNODE_PLANNER_PROMPT_APOLLO = """You are an intelligent agent which will help segregate filters and provide accurate and relevant 
     leads from the user input. The user input consists of a string which you will use to decide and simplify the 
     course of action for the AI agent in a stepwise manner.
 

fastnode/utils/helpers/web_automation_helper.py

@@ -25,15 +25,15 @@ async def click_on_page(self, page, location: list, screenshot_size: tuple, clic
 
     async def type_str_on_page(self, page, text: str, system: str):
         if system == "Linux":
-            await page.keyboard.type("AutoNode", delay=100)
+            await page.keyboard.type("FastNode", delay=100)
             await page.keyboard.down('Control')
             await page.keyboard.press('A')
             await page.keyboard.up('Control')
             await page.keyboard.press('Backspace')
 
             await page.keyboard.type(text, delay=200)
         elif system == "mac":
-            await page.keyboard.type("AutoNode", delay=100)
+            await page.keyboard.type("FastNode", delay=100)
             await page.keyboard.down('Meta')
             await page.keyboard.press('A')
             await page.keyboard.up('Meta')
@@ -45,7 +45,7 @@ async def type_str_on_page(self, page, text: str, system: str):
 
     async def type_multiple_elements_on_page(self, page, text_list: list, system: str, separation_key: str = "Enter"):
         if system == "Linux":
-            await page.keyboard.type("AutoNode", delay=100)
+            await page.keyboard.type("FastNode", delay=100)
             await page.keyboard.down('Control')
             await page.keyboard.press('A')
             await page.keyboard.up('Control')
@@ -56,7 +56,7 @@ async def type_multiple_elements_on_page(self, page, text_list: list, system: st
                 await page.keyboard.press(separation_key)
 
         elif system == "mac":
-            await page.keyboard.type("AutoNode", delay=100)
+            await page.keyboard.type("FastNode", delay=100)
             await page.keyboard.down('Meta')
             await page.keyboard.press('A')
             await page.keyboard.up('Meta')

ocr/README.md

@@ -1 +1 @@
-## AutoNode OCR
+## FastNode OCR

ocr/newrelic.ini

@@ -246,7 +246,7 @@ monitor_mode = false
 monitor_mode = false
 
 [newrelic:staging]
-app_name = AutoNode-OCR (Staging)
+app_name = FastNode-OCR (Staging)
 monitor_mode = false
 
 [newrelic:production]

ocr/pyproject.toml

@@ -2,7 +2,7 @@
 name = "ocr"
 version = "0.1.0"
 description = ""
-authors = ["Madhur Bansal <madhur@contlo.com>"]
+authors = ["KhulanSoft DevOps <info@khulnasoft.com>"]
 readme = "README.md"
 
 [tool.poetry.dependencies]

yolo/newrelic.ini

@@ -246,7 +246,7 @@ monitor_mode = false
 monitor_mode = false
 
 [newrelic:staging]
-app_name = AutoNode-yolo (Staging)
+app_name = FastNode-yolo (Staging)
 monitor_mode = false
 
 [newrelic:production]

yolo/pyproject.toml

@@ -2,7 +2,7 @@
 name = "yolo"
 version = "0.1.0"
 description = ""
-authors = ["Madhur Bansal <madhur@contlo.com>"]
+authors = ["KhulanSoft DevOps <info@khulnasoft.com>"]
 readme = "README.md"
 
 [tool.poetry.dependencies]