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utils/plan_manager.py β Plan generation, prompt building, and response parsing.
Generates combined workout + dietary plan via Groq API in chunks.
Robust JSON parsing handles truncated/malformed model responses.
"""
import json, re, time
# ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
# Prompt builder
# ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
def build_combined_prompt(user_data, dietary_type, start_day, chunk_size):
"""
Build a prompt that generates both workout + dietary plan for a chunk of days.
Returns: prompt string
"""
end_day = start_day + chunk_size - 1
diet_label = "Vegetarian" if dietary_type == "veg" else "Non-Vegetarian"
eq_list = ", ".join(user_data.get("equipment", [])) or "No equipment (bodyweight only)"
intensity_map = {
"Beginner": "2-3 sets, light-moderate weight, 90s rest, focus on form",
"Intermediate": "3-4 sets, moderate-heavy weight, 60-75s rest",
"Advanced": "4-5 sets, heavy compounds, 45-60s rest, supersets ok",
}
intensity = intensity_map.get(user_data.get("level", "Beginner"),
"3 sets, 60s rest")
return f"""You are a certified fitness trainer and nutritionist.
Generate a {diet_label} workout and diet plan for Days {start_day} to {end_day} only.
USER:
- Name: {user_data.get('name','User')}, Age: {user_data.get('age',25)}
- Goal: {user_data.get('goal','General Fitness')}, Level: {user_data.get('level','Beginner')}
- Equipment: {eq_list}
- Diet: {diet_label}, intensity: {intensity}
OUTPUT EXACTLY this JSON array (no extra text, no markdown, no explanation):
[
{{
"day": {start_day},
"muscle_group": "Upper Body",
"workout": [
{{
"name": "Push-ups",
"sets": 3,
"reps": "12",
"rest": "60s",
"timer": 60,
"notes": "Keep core tight, elbows at 45 degrees"
}}
],
"dietary": {{
"breakfast": "Oats with banana and honey",
"lunch": "Grilled chicken with brown rice and vegetables",
"dinner": "Dal with roti and salad",
"snacks": "Handful of mixed nuts and a fruit"
}},
"pre_stretch": [
{{
"name": "Arm circles",
"duration": "30s",
"video_url": "https://www.youtube.com/embed/HDiHMHBpHBQ"
}}
],
"post_stretch": [
{{
"name": "Chest stretch",
"duration": "30s",
"video_url": "https://www.youtube.com/embed/qULTwquOuT4"
}}
]
}}
]
Rules:
- Output ONLY the JSON array. Absolutely no text before or after.
- Generate exactly {chunk_size} day object(s): days {start_day} through {end_day}.
- Each workout must have 5-7 exercises appropriate for {user_data.get('level','Beginner')}.
- Use {eq_list} only for exercises.
- {"Use ONLY vegetarian ingredients." if dietary_type == "veg" else "Include non-vegetarian protein sources."}
- Vary muscle groups each day.
- Timer value = exercise duration in seconds (e.g. plank=30, jumping jacks=45, rest=60).
- Make sure the JSON is complete and properly closed with ]"""
# ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
# Response parser β robust against truncation
# ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
def _repair_truncated_json(text):
"""
Attempt to repair a truncated JSON array by closing open structures.
This handles the "Unexpected end of JSON input" error.
"""
text = text.strip()
# Remove markdown code fences if present
text = re.sub(r'^```(?:json)?\s*', '', text)
text = re.sub(r'\s*```$', '', text)
text = text.strip()
# Try direct parse first
try:
return json.loads(text)
except json.JSONDecodeError:
pass
# Try to extract JSON array from surrounding text
match = re.search(r'(\[.*\])', text, re.DOTALL)
if match:
try:
return json.loads(match.group(1))
except json.JSONDecodeError:
text = match.group(1)
# Repair truncated JSON β close any open structures
repaired = _close_json(text)
try:
return json.loads(repaired)
except json.JSONDecodeError:
return None
def _close_json(s):
"""
Close any unclosed brackets/braces in a JSON string.
Handles truncated model responses.
"""
# Track open structures
stack = []
in_str = False
escape = False
result = []
for i, ch in enumerate(s):
if escape:
escape = False
result.append(ch)
continue
if ch == '\\' and in_str:
escape = True
result.append(ch)
continue
if ch == '"' and not escape:
in_str = not in_str
result.append(ch)
continue
if in_str:
result.append(ch)
continue
if ch in '{[':
stack.append(ch)
result.append(ch)
elif ch in '}]':
if stack:
stack.pop()
result.append(ch)
else:
result.append(ch)
# If we're in a string, close it
if in_str:
result.append('"')
# Close any open key-value that's incomplete
joined = ''.join(result).rstrip().rstrip(',')
# Close remaining open structures in reverse order
for opener in reversed(stack):
if opener == '{':
joined += '}'
elif opener == '[':
joined += ']'
return joined
def parse_plan_response(text):
"""
Parse model response into list of day dicts.
Returns: list of day dicts, or [] on complete failure.
"""
if not text:
return []
parsed = _repair_truncated_json(text)
if parsed is None:
return []
if isinstance(parsed, list):
return [_validate_day(d) for d in parsed if isinstance(d, dict)]
if isinstance(parsed, dict):
return [_validate_day(parsed)]
return []
def _validate_day(day):
"""
Ensure a day dict has all required fields with sensible defaults.
"""
return {
"day": day.get("day", 1),
"muscle_group": day.get("muscle_group", "Full Body"),
"workout": _validate_workout(day.get("workout", [])),
"dietary": _validate_dietary(day.get("dietary", {})),
"pre_stretch": day.get("pre_stretch", _default_pre_stretch()),
"post_stretch": day.get("post_stretch", _default_post_stretch())
}
def _validate_workout(workout):
"""Ensure each exercise has required fields."""
if not isinstance(workout, list):
return []
valid = []
for ex in workout:
if not isinstance(ex, dict):
continue
valid.append({
"name": ex.get("name", "Exercise"),
"sets": ex.get("sets", 3),
"reps": str(ex.get("reps", "12")),
"rest": ex.get("rest", "60s"),
"timer": int(ex.get("timer", 60)),
"notes": ex.get("notes", "Focus on proper form")
})
return valid
def _validate_dietary(dietary):
"""Ensure dietary dict has all meal slots."""
if not isinstance(dietary, dict):
return {
"breakfast": "Oats with fruits",
"lunch": "Rice with vegetables and protein",
"dinner": "Light meal with salad",
"snacks": "Fruits and nuts"
}
return {
"breakfast": dietary.get("breakfast", "Balanced breakfast"),
"lunch": dietary.get("lunch", "Balanced lunch"),
"dinner": dietary.get("dinner", "Light dinner"),
"snacks": dietary.get("snacks", "Healthy snacks")
}
def _default_pre_stretch():
return [
{"name": "Arm Circles", "duration": "30s",
"video_url": "https://www.youtube.com/embed/HDiHMHBpHBQ"},
{"name": "Leg Swings", "duration": "30s",
"video_url": "https://www.youtube.com/embed/HDiHMHBpHBQ"},
{"name": "Hip Rotations", "duration": "30s",
"video_url": "https://www.youtube.com/embed/HDiHMHBpHBQ"}
]
def _default_post_stretch():
return [
{"name": "Quad Stretch", "duration": "30s",
"video_url": "https://www.youtube.com/embed/qULTwquOuT4"},
{"name": "Hamstring Stretch", "duration": "30s",
"video_url": "https://www.youtube.com/embed/qULTwquOuT4"},
{"name": "Child's Pose", "duration": "45s",
"video_url": "https://www.youtube.com/embed/qULTwquOuT4"}
]
# ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
# Main generation function
# ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
def generate_full_plan(user_data, dietary_type, total_days,
progress_callback=None):
"""
Generate a complete day-by-day workout + diet plan via Groq.
Splits into chunks of 2 days to avoid token cutoff.
progress_callback(chunk_num, total_chunks, days_done) β optional
Returns: list of day dicts (validated)
"""
from model_api import query_model
CHUNK_SIZE = 2 # 2 days per chunk β safe limit to avoid truncation
all_days = []
total_chunks = max(1, (total_days + CHUNK_SIZE - 1) // CHUNK_SIZE)
chunk_num = 0
for start in range(1, total_days + 1, CHUNK_SIZE):
chunk_num += 1
chunk_size = min(CHUNK_SIZE, total_days - start + 1)
if progress_callback:
progress_callback(chunk_num, total_chunks, start - 1)
prompt = build_combined_prompt(user_data, dietary_type, start, chunk_size)
# Retry up to 3 times
parsed_days = []
for attempt in range(3):
try:
# Use higher max_tokens to avoid truncation
response = query_model(prompt, max_tokens=2500)
parsed_days = parse_plan_response(response)
if parsed_days:
break
else:
# Empty parse β retry with explicit reminder
if attempt < 2:
time.sleep(2)
continue
except ValueError as e:
err = str(e)
if "rate limit" in err.lower() and attempt < 2:
time.sleep(65)
continue
raise
except Exception:
if attempt < 2:
time.sleep(5)
continue
raise
# If parsing still failed, create placeholder days
if not parsed_days:
for d in range(chunk_size):
parsed_days.append(_build_fallback_day(start + d))
# Fix day numbers in case model returned wrong ones
for i, day in enumerate(parsed_days):
day["day"] = start + i
all_days.extend(parsed_days[:chunk_size])
# Pause between chunks (free tier rate limit)
if start + CHUNK_SIZE <= total_days:
time.sleep(1)
if progress_callback:
progress_callback(total_chunks, total_chunks, total_days)
return all_days
def _build_fallback_day(day_number):
"""Build a generic fallback day if model parsing fails completely."""
workouts_by_day = {
1: [
{"name": "Push-ups", "sets": 3, "reps": "12", "rest": "60s", "timer": 60, "notes": "Elbows at 45Β°"},
{"name": "Squats", "sets": 3, "reps": "15", "rest": "60s", "timer": 60, "notes": "Knees over toes"},
{"name": "Plank", "sets": 3, "reps": "30s","rest": "45s", "timer": 30, "notes": "Straight line"},
{"name": "Lunges", "sets": 3, "reps": "10", "rest": "60s", "timer": 60, "notes": "Step forward"},
{"name": "Mountain Climbers","sets":3, "reps":"20", "rest": "45s", "timer": 45, "notes": "Fast pace"},
],
2: [
{"name": "Jumping Jacks", "sets": 3, "reps": "30", "rest": "45s", "timer": 45, "notes": "Full extension"},
{"name": "Burpees", "sets": 3, "reps": "10", "rest": "75s", "timer": 60, "notes": "Controlled drop"},
{"name": "High Knees", "sets": 3, "reps": "30s","rest": "45s", "timer": 30, "notes": "Drive knees up"},
{"name": "Bicycle Crunches","sets":3, "reps":"20", "rest": "45s", "timer": 45, "notes": "Twist fully"},
{"name": "Wall Sit", "sets": 3, "reps": "30s","rest": "60s", "timer": 30, "notes": "90 degree angle"},
]
}
workout = workouts_by_day.get((day_number - 1) % 2 + 1,
workouts_by_day[1])
return {
"day": day_number,
"muscle_group": "Full Body",
"workout": workout,
"dietary": _validate_dietary({}),
"pre_stretch": _default_pre_stretch(),
"post_stretch": _default_post_stretch()
} |