Borealis/Borealis-Legacy
Borealis/Borealis-Legacy
2
0
Fork 0
Code Issues Pull Requests Actions Packages Projects 1 Releases Wiki Activity

Added Live Screenshot data functionality

Browse Source
This commit is contained in:
Nicole Rappe 2025-03-05 21:01:35 -07:00
parent 17b99ca836
commit 0c16b74b49
4 changed files with 90 additions and 9 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

1
.gitignore vendored
View File

@ -1 +1,2 @@
.vs/
Borealis-Workflow-Automation-Tool/

10
Data/Modules/data_collector.py
View File

@ -35,7 +35,6 @@ regions = {}
app_instance = None
def _ensure_qapplication():
"""
Ensures that QApplication is initialized before creating widgets.
@ -45,6 +44,15 @@ def _ensure_qapplication():
if app_instance is None:
app_instance = QApplication(sys.argv) # Start in main thread
def capture_region_as_image(region_id):
collector_mutex.lock()
if region_id not in regions:
collector_mutex.unlock()
return None
x, y, w, h = regions[region_id]['bbox'][:]
collector_mutex.unlock()
screenshot = ImageGrab.grab(bbox=(x, y, x + w, y + h))
return screenshot
def create_ocr_region(region_id, x=250, y=50, w=DEFAULT_WIDTH, h=DEFAULT_HEIGHT, color=(255, 255, 0), thickness=2):
"""

57
Data/Modules/data_manager.py
View File

@ -1,7 +1,7 @@
# Modules/data_manager.py
import threading
import time
from flask import Flask, jsonify
import base64
from flask import Flask, jsonify, Response
from PyQt5.QtCore import QMutex
# Global datastore for character metrics
@ -21,6 +21,9 @@ data_mutex = QMutex()
# Flag to ensure only one character status collector node exists
character_status_collector_exists = False
# A place to store the screenshot in base64
status_screenshot_base64 = ""
# Flask Application
app = Flask(__name__)
@ -68,6 +71,47 @@ def fp_api():
"fp_total": get_data()["fp_total"]
})
@app.route('/status_screenshot')
def status_screenshot():
"""
Returns an HTML page that displays the stored screenshot and
automatically refreshes it every second without requiring a manual page reload.
"""
html = """
<html>
<head>
<title>Live Flyff Character Status</title>
<script>
// Reload the <img> every second
setInterval(function(){
var img = document.getElementById('status_img');
img.src = '/status_screenshot_data?random=' + Math.random();
}, 1000);
</script>
</head>
<body>
<img id="status_img" src="/status_screenshot_data" />
</body>
</html>
"""
return html
@app.route('/status_screenshot_data')
def status_screenshot_data():
"""
Serves the raw PNG bytes (decoded from base64) used by <img> in /status_screenshot.
"""
data_mutex.lock()
encoded = status_screenshot_base64
data_mutex.unlock()
if not encoded:
# No image captured yet, return HTTP 204 "No Content"
return "", 204
raw_img = base64.b64decode(encoded)
return Response(raw_img, mimetype='image/png')
def start_api_server():
"""
Starts the Flask API server in a separate daemon thread.
@ -101,3 +145,12 @@ def set_data_bulk(metrics_dict):
data_mutex.lock()
data_store.update(metrics_dict)
data_mutex.unlock()
def set_status_screenshot(encoded_str):
"""
Called by the OCR node to store the base64-encoded screenshot data.
"""
global status_screenshot_base64
data_mutex.lock()
status_screenshot_base64 = encoded_str
data_mutex.unlock()

29
Data/Nodes/Flyff/flyff_character_status_node.py
View File

@ -3,12 +3,19 @@
Flyff Character Status Node:
- Creates an OCR region in data_collector.
- Periodically grabs raw text from that region and updates status.
- ALSO: Captures a screenshot from the same region, converts to base64,
and updates data_manager so the Flask server can serve it.
"""
import re
import base64
from io import BytesIO
from OdenGraphQt import BaseNode
from PyQt5.QtWidgets import QMessageBox
from PyQt5.QtCore import QTimer # Corrected import
# Import the existing modules
from Modules import data_manager, data_collector
class FlyffCharacterStatusNode(BaseNode):
@ -29,7 +36,10 @@ class FlyffCharacterStatusNode(BaseNode):
self.add_text_input("exp", "EXP", text="EXP: 0%")
self.region_id = "character_status"
data_collector.create_ocr_region(self.region_id, x=250, y=50, w=180, h=130, color=(255, 255, 0), thickness=2)
data_collector.create_ocr_region(
self.region_id, x=250, y=50, w=180, h=130,
color=(255, 255, 0), thickness=2
)
data_collector.start_collector()
self.set_name("Flyff - Character Status")
@ -80,14 +90,14 @@ class FlyffCharacterStatusNode(BaseNode):
def process_input(self):
"""
Called periodically to update character status from OCR.
Called periodically to update character status from OCR,
and also capture the screenshot to display via Flask.
"""
# 1) Update the text-based status (same as before).
raw_text = data_collector.get_raw_text(self.region_id)
# print("Raw OCR Text:", raw_text) # Debugging OCR text reading
hp_c, hp_t, mp_c, mp_t, fp_c, fp_t, exp_v = self.parse_character_stats(raw_text)
# Update the data manager with the parsed values
# Update data_manager with the parsed values
data_manager.set_data_bulk({
"hp_current": hp_c,
"hp_total": hp_t,
@ -103,3 +113,12 @@ class FlyffCharacterStatusNode(BaseNode):
self.set_property("mp", f"MP: {mp_c}/{mp_t}")
self.set_property("fp", f"FP: {fp_c}/{fp_t}")
self.set_property("exp", f"EXP: {exp_v}%")
# 2) Capture the screenshot used by OCR and store as base64
screenshot_img = data_collector.capture_region_as_image(self.region_id)
if screenshot_img:
# Convert PIL image to base64
buf = BytesIO()
screenshot_img.save(buf, format='PNG')
image_b64 = base64.b64encode(buf.getvalue()).decode('utf-8')
data_manager.set_status_screenshot(image_b64)