defragmentation / defrag_engine.py
cjo93's picture
Fix birth_data format mismatch: correct dictionary keys and key names
80bfb63 verified
import datetime
import random
import json
class DefragDeepCompute:
"""Deep Compute Engine for mystical calculations."""
def __init__(self):
self.user_profile = {}
def calculate_numerology(self, dob_str):
"""Calculate numerological values from date of birth."""
try:
parts = dob_str.split('-')
if len(parts) != 3:
return {"error": "Invalid format"}
day = int(parts[2])
month = int(parts[1])
year = int(parts[0])
def reduce(n):
while n > 9 and n not in [11, 22, 33]:
n = sum(int(d) for d in str(n))
return n
lp = reduce(day + month + year)
py = reduce(day + month + datetime.datetime.now().year)
return {
"life_path": lp,
"personal_year": py,
"personal_month": reduce(py + datetime.datetime.now().month),
"personal_day": reduce(py + datetime.datetime.now().day)
}
except:
return {"error": "Calculation failed"}
def iching_cast(self):
"""Generate I Ching hexagram."""
lines = [random.choice(["Yang", "Yin"]) for _ in range(6)]
return {"hexagram_lines": lines}
def astrology_chart(self, name, year, month, day, hour, minute, city="Unknown", nation="Unknown"):
"""Generate astrological chart."""
try:
return {
"sun_sign": "Leo",
"moon_sign": "Pisces",
"rising_sign": "Gemini",
"planets": {
"sun": {"sign": "Leo", "position": 120},
"moon": {"sign": "Pisces", "position": 45},
"mercury": {"sign": "Virgo", "position": 135},
"venus": {"sign": "Cancer", "position": 100},
"mars": {"sign": "Aries", "position": 30}
}
}
except:
return {"error": "Chart generation failed"}
def _calculate_stability(self, numerology, astrology, system_status):
"""Calculate stability score."""
score = 75
if "life_path" in numerology:
if numerology["life_path"] in [11, 22, 33]:
score += 10
if system_status == "chaotic":
score -= 25
elif system_status == "harmonious":
score += 15
return max(0, min(100, score))
def generate_mandala(self, user_data):
"""Generate mandala data."""
return {
"center_radius": 50,
"rings": [{
"radius": r * 30,
"color": f"hsl({r * 60}, 100%, 50%)",
"segments": 8
} for r in range(1, 4)],
"points": [{
"angle": i * 45,
"distance": 100,
"label": ["N", "NE", "E", "SE", "S", "SW", "W", "NW"][i]
} for i in range(8)]
}
def execute_defrag(self, birth_data, user_input):
"""Execute the full Defragmentation protocol - orchestrates all engines."""
try:
# Step 1: Extract birth data
name = birth_data.get('name', 'Unknown')
year = birth_data.get('year', 1990)
month = birth_data.get('month', 1)
day = birth_data.get('day', 1)
hour = birth_data.get('hour', 12)
minute = birth_data.get('minute', 0)
city = birth_data.get('city', 'Unknown')
nation = birth_data.get('country', 'Unknown')
dob_str = birth_data.get('dob', f'{year:04d}-{month:02d}-{day:02d}')
# Step 2: Run all three engines
numerology = self.calculate_numerology(dob_str)
iching = self.iching_cast()
astrology = self.astrology_chart(name, year, month, day, hour, minute, city, nation)
# Step 3: Calculate stability based on all inputs
system_status = "harmonious" if not user_input else "analyzing"
if user_input and any(word in user_input.lower() for word in ['chaos', 'confusion', 'error']):
system_status = "chaotic"
stability = self._calculate_stability(numerology, astrology, system_status)
# Step 4: Generate mandala visualization data
mandala = self.generate_mandala(birth_data)
# Step 5: Timestamp and compile soul_log
import datetime
timestamp = datetime.datetime.now().isoformat()
soul_log = {
"timestamp": timestamp,
"user_id": name,
"dob": dob_str,
"city": city,
"numerology": numerology,
"astrology": astrology,
"iching": iching,
"stability_score": stability,
"system_status": system_status,
"mandala": mandala,
"user_input": user_input,
"computed_vector": {
"friction_level": system_status,
"visual_code": f"#{hex(random.randint(0, 0xFFFFFF))[2:]:0>6}",
"visual_seed": random.randint(3, 12),
"visual_element": astrology.get("sun_sign", "Fire")
},
"hardware": {"numerology": numerology},
"weather": {"astro": {"dominant_element": astrology.get("sun_sign", "Fire")}}
}
return soul_log
except Exception as e:
return {"error": str(e)}