add web hil

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zachary62 2025-04-11 13:12:20 -04:00
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@ -83,6 +83,7 @@ From there, it's easy to implement popular design patterns like ([Multi-](https:
| [Thinking](https://github.com/The-Pocket/PocketFlow/tree/main/cookbook/pocketflow-thinking) | ★☆☆ <br> *Beginner* | Solve complex reasoning problems through Chain-of-Thought | | [Thinking](https://github.com/The-Pocket/PocketFlow/tree/main/cookbook/pocketflow-thinking) | ★☆☆ <br> *Beginner* | Solve complex reasoning problems through Chain-of-Thought |
| [Memory](https://github.com/The-Pocket/PocketFlow/tree/main/cookbook/pocketflow-chat-memory) | ★☆☆ <br> *Beginner* | A chat bot with short-term and long-term memory | | [Memory](https://github.com/The-Pocket/PocketFlow/tree/main/cookbook/pocketflow-chat-memory) | ★☆☆ <br> *Beginner* | A chat bot with short-term and long-term memory |
| [MCP](https://github.com/The-Pocket/PocketFlow/tree/main/cookbook/pocketflow-mcp) | ★☆☆ <br> *Beginner* | Agent using Model Context Protocol for numerical operations | | [MCP](https://github.com/The-Pocket/PocketFlow/tree/main/cookbook/pocketflow-mcp) | ★☆☆ <br> *Beginner* | Agent using Model Context Protocol for numerical operations |
| [Web HITL](https://github.com/The-Pocket/PocketFlow/tree/main/cookbook/pocketflow-web-hitl) | ★☆☆ <br> *Beginner* | A minimal web service for a human review loop with SSE updates |
</div> </div>

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pocketflow>=0.0.5 pocketflow>=0.0.1
numpy>=1.20.0 numpy>=1.20.0
faiss-cpu>=1.7.0 faiss-cpu>=1.7.0
openai>=1.0.0 openai>=1.0.0

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# PocketFlow Hello World # PocketFlow Web Human-in-the-Loop (HITL) Feedback Service
Your first PocketFlow application! This simple example demonstrates how to create a basic PocketFlow app from scratch. This project demonstrates a minimal web application for human-in-the-loop workflows using PocketFlow, FastAPI, and Server-Sent Events (SSE). Users can submit text, have it processed (simulated), review the output, and approve or reject it, potentially triggering reprocessing until approved.
## Project Structure <p align="center">
<img
src="./assets/banner.png" width="800"
/>
</p>
``` ## Features
.
├── docs/ # Documentation files
├── utils/ # Utility functions
├── flow.py # PocketFlow implementation
├── main.py # Main application entry point
└── README.md # Project documentation
```
## Setup - **Web UI:** Simple interface for submitting tasks and providing feedback.
- **PocketFlow Workflow:** Manages the process -> review -> result/reprocess logic.
- **FastAPI Backend:** Serves the UI and handles API requests asynchronously.
- **Server-Sent Events (SSE):** Provides real-time status updates to the client without polling.
1. Create a virtual environment: ## How to Run
```bash
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
```
2. Install dependencies: 1. Install Dependencies:
```bash ```bash
pip install -r requirements.txt pip install -r requirements.txt
``` ```
3. Run the example: 2. Run the FastAPI Server:
Use Uvicorn (or another ASGI server):
```bash ```bash
python main.py uvicorn server:app --reload --port 8000
```
*(The `--reload` flag is useful for development.)*
3. Access the Web UI:
Open your web browser and navigate to `http://127.0.0.1:8000`.
4. Use the Application:
* Enter text into the textarea and click "Submit".
* Observe the status updates pushed via SSE.
* When prompted ("waiting_for_review"), use the "Approve" or "Reject" buttons.
* If rejected, the process loops back. If approved, the final result is displayed.
## How It Works
The application uses PocketFlow to define and execute the feedback loop workflow. FastAPI handles web requests and manages the real-time SSE communication.
**PocketFlow Workflow:**
The core logic is orchestrated by an `AsyncFlow` defined in `flow.py`:
```mermaid
flowchart TD
subgraph FeedbackFlow[MinimalFeedbackFlow]
Process[ProcessNode] -- default --> Review[ReviewNode]
Review -- approved --> Result[ResultNode]
Review -- rejected --> Process
end
``` ```
## What This Example Demonstrates 1. **`ProcessNode`**: Receives input text, calls the minimal `process_task` utility, and stores the output.
2. **`ReviewNode` (Async)**:
* Pushes a "waiting_for_review" status with the processed output to the SSE queue.
* Waits asynchronously for an external signal (triggered by the `/feedback` API endpoint).
* Based on the received feedback ("approved" or "rejected"), determines the next step in the flow. Stores the result if approved.
3. **`ResultNode`**: Logs the final approved result.
- How to create your first PocketFlow application **FastAPI & SSE Integration:**
- Basic PocketFlow concepts and usage
- Simple example of PocketFlow's capabilities
## Additional Resources * The `/submit` endpoint creates a unique task, initializes the PocketFlow `shared` state (including an `asyncio.Event` for review and an `asyncio.Queue` for SSE), and schedules the flow execution using `BackgroundTasks`.
* Nodes within the flow (specifically `ReviewNode`'s prep logic) put status updates onto the task-specific `sse_queue`.
* The `/stream/{task_id}` endpoint uses `StreamingResponse` to read from the task's `sse_queue` and push formatted status updates to the connected client via Server-Sent Events.
* The `/feedback/{task_id}` endpoint receives the human's decision, updates the `shared` state, and sets the `asyncio.Event` to unblock the waiting `ReviewNode`.
- [PocketFlow Documentation](https://the-pocket.github.io/PocketFlow/) This setup allows for a decoupled workflow logic (PocketFlow) and web interaction layer (FastAPI), with efficient real-time updates pushed to the user.
## Files
- [`server.py`](./server.py): The main FastAPI application handling HTTP requests, SSE, state management, and background task scheduling.
- [`nodes.py`](./nodes.py): Defines the PocketFlow `Node` classes (`ProcessNode`, `ReviewNode`, `ResultNode`) for the workflow steps.
- [`flow.py`](./flow.py): Defines the PocketFlow `AsyncFlow` that connects the nodes into the feedback loop.
- [`utils/process_task.py`](./utils/process_task.py): Contains the minimal simulation function for task processing.
- [`templates/index.html`](./templates/index.html): The HTML structure for the frontend user interface.
- [`static/style.css`](./static/style.css): Basic CSS for styling the frontend.
- [`requirements.txt`](./requirements.txt): Project dependencies (FastAPI, Uvicorn, Jinja2, PocketFlow).

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* **Goal:** Create a web service for task submission, processing, human review (Approve/Reject loop via UI), and finalization. * **Goal:** Create a web service for task submission, processing, human review (Approve/Reject loop via UI), and finalization.
* **Interface:** Simple web UI (HTML/JS) for input, status display, and feedback buttons. * **Interface:** Simple web UI (HTML/JS) for input, status display, and feedback buttons.
* **Backend:** Flask application using PocketFlow for workflow management. * **Backend:** FastAPI using PocketFlow for workflow management.
* **Real-time Updates:** Use Server-Sent Events (SSE) to push status changes (pending, running, waiting_for_review, completed, failed) and intermediate results to the client without page reloads. * **Real-time Updates:** Use Server-Sent Events (SSE) to push status changes (pending, running, waiting_for_review, completed, failed) and intermediate results to the client without page reloads.
* **State:** Use in-memory storage for task state (Warning: Not suitable for production). * **State:** Use in-memory storage for task state (Warning: Not suitable for production).
@ -35,7 +35,7 @@ flowchart TD
## 3. Utilities ## 3. Utilities
For this specific example, the core "utility" is the processing logic itself. Let's simulate it with a simple function. The Flask server acts as the external interface. For this specific example, the core "utility" is the processing logic itself. Let's simulate it with a simple function. The FastAPI server acts as the external interface.
* `process_task(input_data)`: A placeholder function. In a real scenario, this might call an LLM (`utils/call_llm.py`). * `process_task(input_data)`: A placeholder function. In a real scenario, this might call an LLM (`utils/call_llm.py`).

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import asyncio
import uuid
import json
import os
from flask import Flask, request, jsonify, render_template, send_from_directory, Response
from flow import create_feedback_flow
# --- Configuration ---
template_dir = os.path.abspath(os.path.join(os.path.dirname(__file__), 'templates'))
static_dir = os.path.abspath(os.path.join(os.path.dirname(__file__), 'static'))
app = Flask(__name__, template_folder=template_dir, static_folder=static_dir)
# --- State Management (In-Memory - NOT FOR PRODUCTION) ---
tasks = {} # task_id -> {"shared": dict, "status": str, "task_obj": asyncio.Task}
# --- Background Flow Runner ---
async def run_flow_background(task_id, flow, shared):
"""Runs the flow in background, uses queue in shared for SSE."""
if task_id not in tasks: return # Should not happen
queue = shared.get("sse_queue")
if not queue:
print(f"ERROR: Task {task_id} missing sse_queue in shared store!")
tasks[task_id]["status"] = "failed"
# Cannot easily report via SSE if queue is missing
return
tasks[task_id]["status"] = "running"
await queue.put({"status": "running"})
print(f"Task {task_id}: Flow starting.")
final_status = "unknown"
error_message = None
try:
await flow.run_async(shared)
# Check final state
if shared.get("final_result") is not None:
final_status = "completed"
else:
# If flow ends without setting final_result (e.g., error before ResultNode)
final_status = "finished_incomplete"
print(f"Task {task_id}: Flow finished with status: {final_status}")
except Exception as e:
final_status = "failed"
error_message = str(e)
print(f"Task {task_id}: Flow failed: {e}")
finally:
if task_id in tasks:
tasks[task_id]["status"] = final_status
final_update = {"status": final_status}
if final_status == "completed":
final_update["final_result"] = shared.get("final_result")
elif error_message:
final_update["error"] = error_message
await queue.put(final_update)
# Signal end of stream
await queue.put(None)
print(f"Task {task_id}: Background task ended. Final update put on queue.")
# --- Flask Routes ---
@app.route('/')
async def index():
return render_template('index.html')
@app.route('/static/<path:filename>')
async def static_files(filename):
return send_from_directory(app.static_folder, filename)
@app.route('/submit', methods=['POST'])
async def submit_task():
if not request.is_json or 'data' not in request.json:
return jsonify({"error": "Requires JSON with 'data' field"}), 400
task_id = str(uuid.uuid4())
feedback_event = asyncio.Event()
status_queue = asyncio.Queue() # Queue for SSE
# Initial shared state for the flow
shared = {
"task_input": request.json['data'],
"processed_output": None,
"feedback": None,
"review_event": feedback_event,
"sse_queue": status_queue, # Make queue accessible to nodes
"final_result": None,
"task_id": task_id
}
flow = create_feedback_flow()
# Store task state
tasks[task_id] = {
"shared": shared,
"status": "pending",
# "flow": flow, # Not strictly needed if we don't re-use it
"task_obj": None # Will hold the background task
}
await status_queue.put({"status": "pending", "task_id": task_id})
# Start flow execution in background
task_obj = asyncio.create_task(run_flow_background(task_id, flow, shared))
tasks[task_id]["task_obj"] = task_obj
print(f"Task {task_id}: Submitted.")
return jsonify({"message": "Task submitted", "task_id": task_id}), 202
@app.route('/feedback/<task_id>', methods=['POST'])
async def provide_feedback(task_id):
if task_id not in tasks:
return jsonify({"error": "Task not found"}), 404
task_info = tasks[task_id]
shared = task_info["shared"]
queue = shared.get("sse_queue")
async def report_error(message, status_code=400):
print(f"Task {task_id}: Feedback error - {message}")
if queue: await queue.put({"status": "feedback_error", "error": message})
return jsonify({"error": message}), status_code
if not request.is_json or 'feedback' not in request.json:
return await report_error("Requires JSON with 'feedback' field")
feedback = request.json.get('feedback')
if feedback not in ["approved", "rejected"]:
return await report_error("Invalid feedback value")
review_event = shared.get("review_event")
if not review_event or review_event.is_set():
return await report_error("Task not awaiting feedback or feedback already sent", 409)
print(f"Task {task_id}: Received feedback: {feedback}")
if queue: await queue.put({"status": "processing_feedback"})
tasks[task_id]["status"] = "processing_feedback"
shared["feedback"] = feedback
review_event.set() # Signal the waiting ReviewNode
return jsonify({"message": f"Feedback '{feedback}' received"}), 200
# --- SSE Endpoint ---
@app.route('/stream/<task_id>')
async def stream(task_id):
if task_id not in tasks or "sse_queue" not in tasks[task_id]["shared"]:
return Response("data: {\"status\": \"error\", \"error\": \"Task or queue not found\"}\n\n",
mimetype='text/event-stream', status=404)
queue = tasks[task_id]["shared"]["sse_queue"]
async def event_generator():
print(f"SSE Stream: Client connected for {task_id}")
try:
while True:
update = await queue.get()
if update is None: # Sentinel for end of stream
print(f"SSE Stream: Sentinel received for {task_id}, closing.")
yield f"data: {json.dumps({'status': 'stream_closed'})}\n\n"
break
sse_data = json.dumps(update)
print(f"SSE Stream: Sending for {task_id}: {sse_data}")
yield f"data: {sse_data}\n\n"
queue.task_done()
except asyncio.CancelledError:
print(f"SSE Stream: Client disconnected for {task_id}.")
finally:
print(f"SSE Stream: Generator finished for {task_id}.")
# Optional: Cleanup task entry after stream ends?
# if task_id in tasks: del tasks[task_id] # Careful if task state needed elsewhere
headers = {'Content-Type': 'text/event-stream', 'Cache-Control': 'no-cache'}
return Response(event_generator(), mimetype='text/event-stream', headers=headers)
# --- Main ---
# Use an ASGI server like Hypercorn: `hypercorn server:app`
if __name__ == '__main__':
print("Run using an ASGI server, e.g., 'hypercorn flask_server:app'")

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import asyncio
from pocketflow import Node, AsyncNode from pocketflow import Node, AsyncNode
from utils.process_task import process_task from utils.process_task import process_task

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pocketflow>=0.0.1 pocketflow>=0.0.1
flask fastapi
hypercorn uvicorn[standard] # ASGI server for FastAPI
jinja2 # For HTML templating

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import asyncio
import uuid
import json
import os
from fastapi import FastAPI, Request, HTTPException, status, BackgroundTasks # Import BackgroundTasks
from fastapi.responses import HTMLResponse, StreamingResponse
from fastapi.staticfiles import StaticFiles
from fastapi.templating import Jinja2Templates
from pydantic import BaseModel, Field # Import Pydantic for request/response models
from typing import Dict, Any, Literal # For type hinting
from flow import create_feedback_flow # PocketFlow imports
# --- Configuration ---
app = FastAPI(title="Minimal Feedback Loop API")
static_dir = os.path.abspath(os.path.join(os.path.dirname(__file__), 'static'))
if os.path.isdir(static_dir):
app.mount("/static", StaticFiles(directory=static_dir), name="static")
else:
print(f"Warning: Static directory '{static_dir}' not found.")
template_dir = os.path.abspath(os.path.join(os.path.dirname(__file__), 'templates'))
if os.path.isdir(template_dir):
templates = Jinja2Templates(directory=template_dir)
else:
print(f"Warning: Template directory '{template_dir}' not found.")
templates = None
# --- State Management (In-Memory - NOT FOR PRODUCTION) ---
# Global dictionary to store task state. In production, use Redis, DB, etc.
tasks: Dict[str, Dict[str, Any]] = {}
# Structure: task_id -> {"shared": dict, "status": str, "task_obj": asyncio.Task | None}
# --- Background Flow Runner ---
# This function remains mostly the same, as it defines the work to be done.
# It will be scheduled by FastAPI's BackgroundTasks now.
async def run_flow_background(task_id: str, flow, shared: Dict[str, Any]):
"""Runs the flow in background, uses queue in shared for SSE."""
# Check if task exists (might have been cancelled/deleted)
if task_id not in tasks:
print(f"Background task {task_id}: Task not found, aborting.")
return
queue = shared.get("sse_queue")
if not queue:
print(f"ERROR: Task {task_id} missing sse_queue in shared store!")
tasks[task_id]["status"] = "failed"
# Cannot report failure via SSE if queue is missing
return
tasks[task_id]["status"] = "running"
await queue.put({"status": "running"})
print(f"Task {task_id}: Background flow starting.")
final_status = "unknown"
error_message = None
try:
# Execute the potentially long-running PocketFlow
await flow.run_async(shared)
# Determine final status based on shared state after flow completion
if shared.get("final_result") is not None:
final_status = "completed"
else:
# If flow ends without setting final_result
final_status = "finished_incomplete"
print(f"Task {task_id}: Flow finished with status: {final_status}")
except Exception as e:
final_status = "failed"
error_message = str(e)
print(f"Task {task_id}: Flow execution failed: {e}")
# Consider logging traceback here in production
finally:
# Ensure task still exists before updating state
if task_id in tasks:
tasks[task_id]["status"] = final_status
final_update = {"status": final_status}
if final_status == "completed":
final_update["final_result"] = shared.get("final_result")
elif error_message:
final_update["error"] = error_message
# Put final status update onto the queue
await queue.put(final_update)
# Signal the end of the SSE stream by putting None
# Must happen regardless of whether task was deleted mid-run
if queue:
await queue.put(None)
print(f"Task {task_id}: Background task ended. Final update sentinel put on queue.")
# Remove the reference to the completed/failed asyncio Task object
if task_id in tasks:
tasks[task_id]["task_obj"] = None
# --- Pydantic Models for Request/Response Validation ---
class SubmitRequest(BaseModel):
data: str = Field(..., min_length=1, description="Input data for the task")
class SubmitResponse(BaseModel):
message: str = "Task submitted"
task_id: str
class FeedbackRequest(BaseModel):
feedback: Literal["approved", "rejected"] # Use Literal for specific choices
class FeedbackResponse(BaseModel):
message: str
# --- FastAPI Routes ---
@app.get("/", response_class=HTMLResponse, include_in_schema=False)
async def get_index(request: Request):
"""Serves the main HTML frontend."""
if templates is None:
raise HTTPException(status_code=500, detail="Templates directory not configured.")
return templates.TemplateResponse("index.html", {"request": request})
@app.post("/submit", response_model=SubmitResponse, status_code=status.HTTP_202_ACCEPTED)
async def submit_task(
submit_request: SubmitRequest, # Use Pydantic model for validation
background_tasks: BackgroundTasks # Inject BackgroundTasks instance
):
"""
Submits a new task. The actual processing runs in the background.
Returns immediately with the task ID.
"""
task_id = str(uuid.uuid4())
feedback_event = asyncio.Event()
status_queue = asyncio.Queue()
shared = {
"task_input": submit_request.data,
"processed_output": None,
"feedback": None,
"review_event": feedback_event,
"sse_queue": status_queue,
"final_result": None,
"task_id": task_id
}
flow = create_feedback_flow()
# Store task state BEFORE scheduling background task
tasks[task_id] = {
"shared": shared,
"status": "pending",
"task_obj": None # Placeholder for the asyncio Task created by BackgroundTasks
}
await status_queue.put({"status": "pending", "task_id": task_id})
# Schedule the flow execution using FastAPI's BackgroundTasks
# This runs AFTER the response has been sent
background_tasks.add_task(run_flow_background, task_id, flow, shared)
# Note: We don't get a direct reference to the asyncio Task object this way,
# which is fine for this minimal example. If cancellation were needed,
# managing asyncio.create_task manually would be necessary.
print(f"Task {task_id}: Submitted, scheduled for background execution.")
return SubmitResponse(task_id=task_id)
@app.post("/feedback/{task_id}", response_model=FeedbackResponse)
async def provide_feedback(task_id: str, feedback_request: FeedbackRequest):
"""Provides feedback (approved/rejected) to potentially unblock a waiting task."""
if task_id not in tasks:
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Task not found")
task_info = tasks[task_id]
shared = task_info["shared"]
queue = shared.get("sse_queue")
review_event = shared.get("review_event")
async def report_error(message, status_code=status.HTTP_400_BAD_REQUEST):
# Helper to log, put status on queue, and raise HTTP exception
print(f"Task {task_id}: Feedback error - {message}")
if queue: await queue.put({"status": "feedback_error", "error": message})
raise HTTPException(status_code=status_code, detail=message)
if not review_event:
# This indicates an internal setup error if the task exists but has no event
await report_error("Task not configured for feedback", status.HTTP_500_INTERNAL_SERVER_ERROR)
if review_event.is_set():
# Prevent processing feedback multiple times or if the task isn't waiting
await report_error("Task not awaiting feedback or feedback already sent", status.HTTP_409_CONFLICT)
feedback = feedback_request.feedback # Already validated by Pydantic
print(f"Task {task_id}: Received feedback via POST: {feedback}")
# Update status *before* setting the event, so client sees 'processing' first
if queue: await queue.put({"status": "processing_feedback", "feedback_value": feedback})
tasks[task_id]["status"] = "processing_feedback" # Update central status tracker
# Store feedback and signal the waiting ReviewNode
shared["feedback"] = feedback
review_event.set()
return FeedbackResponse(message=f"Feedback '{feedback}' received")
# --- SSE Endpoint ---
@app.get("/stream/{task_id}")
async def stream_status(task_id: str):
"""Streams status updates for a given task using Server-Sent Events."""
if task_id not in tasks or "sse_queue" not in tasks[task_id]["shared"]:
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Task or queue not found")
queue = tasks[task_id]["shared"]["sse_queue"]
async def event_generator():
"""Yields SSE messages from the task's queue."""
print(f"SSE Stream: Client connected for {task_id}")
try:
while True:
# Wait for the next status update from the queue
update = await queue.get()
if update is None: # Sentinel value indicates end of stream
print(f"SSE Stream: Sentinel received for {task_id}, closing stream.")
yield f"data: {json.dumps({'status': 'stream_closed'})}\n\n"
break
sse_data = json.dumps(update)
print(f"SSE Stream: Sending for {task_id}: {sse_data}")
yield f"data: {sse_data}\n\n" # SSE format: "data: <json>\n\n"
queue.task_done() # Acknowledge processing the queue item
except asyncio.CancelledError:
# This happens if the client disconnects
print(f"SSE Stream: Client disconnected for {task_id}.")
except Exception as e:
# Log unexpected errors during streaming
print(f"SSE Stream: Error in generator for {task_id}: {e}")
# Optionally send an error message to the client if possible
try:
yield f"data: {json.dumps({'status': 'stream_error', 'error': str(e)})}\n\n"
except Exception: # Catch errors if yield fails (e.g., connection already closed)
pass
finally:
print(f"SSE Stream: Generator finished for {task_id}.")
# Consider cleanup here (e.g., removing task if no longer needed)
# if task_id in tasks: del tasks[task_id]
# Use FastAPI/Starlette's StreamingResponse for SSE
headers = {'Cache-Control': 'no-cache', 'X-Accel-Buffering': 'no'}
return StreamingResponse(event_generator(), media_type="text/event-stream", headers=headers)
# --- Main Execution Guard (for running with uvicorn) ---
if __name__ == "__main__":
print("Starting FastAPI server using Uvicorn is recommended:")
print("uvicorn server:app --reload --host 0.0.0.0 --port 8000")
# Example using uvicorn programmatically (less common than CLI)
# import uvicorn
# uvicorn.run(app, host="0.0.0.0", port=8000)

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/* Minimal functional styling */ body {
body { font-family: sans-serif; margin: 15px; background-color: #fdfdfd; } font-family: sans-serif;
.container, .status-container { background: #fff; padding: 15px; border: 1px solid #eee; margin-bottom: 15px; border-radius: 4px; max-width: 600px;} margin: 0; /* Remove default body margin */
textarea { width: 95%; padding: 8px; margin-bottom: 10px; border: 1px solid #ccc; font-size: 1em; min-height: 50px; } padding: 20px; /* Add some padding around the content */
button { padding: 8px 12px; margin-right: 5px; cursor: pointer; border: 1px solid #ccc; border-radius: 3px;} background-color: #f8f9fa; /* Lighter grey background */
button:disabled { cursor: not-allowed; opacity: 0.6; } display: flex; /* Enable Flexbox */
#task-id-display { font-size: 0.85em; color: #666; margin-bottom: 5px; } flex-direction: column; /* Stack children vertically */
#status-display { font-weight: bold; margin-bottom: 10px; padding: 8px; background-color: #f0f0f0; border-radius: 3px;} align-items: center; /* Center children horizontally */
.hidden { display: none; } min-height: 100vh; /* Ensure body takes at least full viewport height */
.review-box, .result-box { border: 1px solid #ddd; padding: 10px; margin-top: 10px; background-color: #f9f9f9; } box-sizing: border-box; /* Include padding in height calculation */
pre { background-color: #eee; padding: 10px; border: 1px solid #ddd; white-space: pre-wrap; word-wrap: break-word; max-height: 200px; overflow-y: auto;} }
.approve { background-color: #d4edda; border-color: #c3e6cb; }
.reject { background-color: #f8d7da; border-color: #f5c6cb; } h1 {
text-align: center; /* Center the main title */
color: #343a40;
margin-bottom: 25px;
}
/* Style the main containers */
.container, .status-container {
background: #ffffff;
padding: 20px 25px; /* More padding */
border: 1px solid #dee2e6; /* Softer border */
margin-bottom: 20px;
border-radius: 6px; /* Slightly rounder corners */
width: 90%; /* Responsive width */
max-width: 650px; /* Max width for readability */
box-shadow: 0 2px 5px rgba(0,0,0,0.05); /* Subtle shadow */
box-sizing: border-box; /* Include padding/border in width */
}
textarea {
width: 100%; /* Take full width of parent container */
padding: 10px;
margin-bottom: 10px;
border: 1px solid #ced4da;
border-radius: 4px;
font-size: 1em;
min-height: 60px;
box-sizing: border-box;
}
button {
padding: 9px 15px; /* Slightly adjusted padding */
margin-right: 8px;
cursor: pointer;
border: none; /* Remove default border */
border-radius: 4px;
font-weight: 500;
transition: background-color 0.2s ease;
}
button:disabled {
cursor: not-allowed;
opacity: 0.6;
}
/* Specific button styling */
#submit-button {
background-color: #0d6efd; /* Bootstrap primary blue */
color: white;
}
#submit-button:hover:not(:disabled) {
background-color: #0b5ed7;
}
.approve {
background-color: #198754; /* Bootstrap success green */
color: white;
}
.approve:hover:not(:disabled) {
background-color: #157347;
}
.reject {
background-color: #dc3545; /* Bootstrap danger red */
color: white;
}
.reject:hover:not(:disabled) {
background-color: #bb2d3b;
}
#task-id-display {
font-size: 0.9em;
color: #6c757d; /* Bootstrap secondary text color */
margin-bottom: 8px;
word-wrap: break-word;
}
#status-display {
font-weight: bold;
margin-bottom: 15px;
padding: 10px;
background-color: #e9ecef; /* Light grey background */
border: 1px solid #dee2e6;
border-radius: 4px;
color: #495057;
}
.hidden {
display: none;
}
/* Review/Result Box Styling */
.review-box, .result-box {
border: 1px solid #dee2e6;
padding: 15px;
margin-top: 15px;
border-radius: 4px;
background-color: #f8f9fa; /* Very light background */
}
h2, h3 {
margin-top: 0; /* Remove default top margin */
margin-bottom: 15px;
color: #495057;
}
h3 {
border-bottom: 1px solid #eee;
padding-bottom: 8px;
}
pre {
background-color: #e9ecef;
padding: 12px;
border: 1px solid #ced4da;
border-radius: 4px;
white-space: pre-wrap;
word-wrap: break-word;
max-height: 250px; /* Adjusted height */
overflow-y: auto;
font-family: monospace;
font-size: 0.95em;
color: #212529;
}

View File

@ -3,11 +3,11 @@
<head> <head>
<meta charset="UTF-8"> <meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0"> <meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Minimal Feedback Task (SSE)</title> <title>Pocket Flow Web Feedback</title>
<link rel="stylesheet" href="{{ url_for('static_files', filename='style.css') }}"> <link rel="stylesheet" href="{{ url_for('static', path='style.css') }}">
</head> </head>
<body> <body>
<h1>Minimal Task Submitter (SSE)</h1> <h1>Pocket Flow Web Feedback</h1>
<div class="container"> <div class="container">
<textarea id="task-input" rows="3" placeholder="Enter text to process..."></textarea> <textarea id="task-input" rows="3" placeholder="Enter text to process..."></textarea>