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| import os | |
| import logging | |
| import requests | |
| from typing import Dict, Optional | |
| logger = logging.getLogger(__name__) | |
| # Biomechanical knowledge graph templates | |
| BIOMECHANICAL_TEMPLATES = { | |
| "warrior_2": { | |
| "knee_l": { | |
| "issue_low": { | |
| "en": "Bend your left knee more to bring it directly over your ankle.", | |
| "hi": "अपने बाएं घुटने को थोड़ा और मोड़ें ताकि वह टखने के ठीक ऊपर रहे।", | |
| "bn": "আপনার বাম হাঁটু আরও বাঁকুন যাতে এটি গোড়ালির ঠিক উপরে থাকে।" | |
| } | |
| }, | |
| "knee_r": { | |
| "issue_low": { | |
| "en": "Bend your right knee more to align it directly over your ankle.", | |
| "hi": "अपने दाएं घुटने को थोड़ा और मोड़ें ताकि वह टखने के ठीक ऊपर रहे।", | |
| "bn": "আপনার ডান হাঁটু আরও বাঁকুন যাতে এটি গোড়ালির ঠিক উপরে থাকে।" | |
| } | |
| } | |
| }, | |
| "chair_pose": { | |
| "knee_l": { | |
| "issue_low": { | |
| "en": "Sit deeper to bring your thighs closer to parallel to the floor.", | |
| "hi": "जांघों को फर्श के समानांतर लाने के लिए थोड़ा नीचे बैठें।", | |
| "bn": "উরু মেঝের সমান্তরাল করার জন্য আর একটু নিচে বসুন।" | |
| } | |
| }, | |
| "knee_r": { | |
| "issue_low": { | |
| "en": "Sit deeper to align both thighs towards parallel to the floor.", | |
| "hi": "दोनों जांघों को फर्श के समानांतर करने के लिए थोड़ा नीचे बैठें।", | |
| "bn": "দুই উরু মেঝের সমান্তরাল করার জন্য আর একটু নিচে বসুন।" | |
| } | |
| } | |
| }, | |
| "cobra_pose": { | |
| "neck": { | |
| "issue_low": { | |
| "en": "Elongate your neck and gaze forward, relaxing your shoulders.", | |
| "hi": "अपनी गर्दन को लंबी करें और सामने की ओर देखें, कंधों को ढीला छोड़ें।", | |
| "bn": "আপনার ঘাড় সোজা করুন এবং সামনের দিকে তাকান, কাঁধ শিথিল রাখুন।" | |
| } | |
| } | |
| }, | |
| "plank": { | |
| "elbow_l": { | |
| "issue_low": { | |
| "en": "Extend your left elbow to keep your arm straight.", | |
| "hi": "अपने बाएं हाथ को सीधा रखने के लिए अपनी बाईं कोहनी को फैलाएं।", | |
| "bn": "আপনার বাম হাত সোজা রাখতে বাম কনুই প্রসারিত করুন।" | |
| } | |
| }, | |
| "elbow_r": { | |
| "issue_low": { | |
| "en": "Extend your right elbow to keep your arm straight.", | |
| "hi": "अपने दाएं हाथ को सीधा रखने के लिए अपनी दाईं कोहनी को फैलाएं।", | |
| "bn": "আপনার ডান হাত সোজা রাখতে ডান কনুই প্রসারিত করুন।" | |
| } | |
| }, | |
| "trunk_l": { | |
| "issue_low": { | |
| "en": "Keep your spine and body in a straight line, do not let your hips sag.", | |
| "hi": "अपनी रीढ़ और शरीर को एक सीधी रेखा में रखें, अपने नितंबों को नीचे न झुकने दें।", | |
| "bn": "আপনার মেরুদণ্ড এবং শরীর সোজা রাখুন, নিতম্ব ঝুলে যেতে দেবেন না।" | |
| } | |
| } | |
| }, | |
| "tree_pose": { | |
| "knee_l": { | |
| "issue_low": { | |
| "en": "Bend your left knee more and place your foot on your inner thigh.", | |
| "hi": "अपने बाएं घुटने को अधिक मोड़ें और अपने पैर को अपनी आंतरिक जांघ पर रखें।", | |
| "bn": "আপনার বাম হাঁটু আরও বাঁকুন এবং পায়ের পাতাটি উরুর ভেতরের দিকে রাখুন।" | |
| } | |
| }, | |
| "hip_abduct_l": { | |
| "issue_low": { | |
| "en": "Open your left hip outward to bring your knee to the side.", | |
| "hi": "अपने बाएं कूल्हे को बाहर की ओर खोलें ताकि आपका घुटना बगल की ओर हो सके।", | |
| "bn": "আপনার বাম হাঁটু পাশের দিকে আনতে বাম হিপ বাইরের দিকে প্রসারিত করুন।" | |
| } | |
| }, | |
| "knee_r": { | |
| "issue_low": { | |
| "en": "Keep your standing right leg fully straight and strong.", | |
| "hi": "अपने खड़े हुए दाएं पैर को पूरी तरह से सीधा और मजबूत रखें।", | |
| "bn": "দাঁড়িয়ে থাকা ডান পা সম্পূর্ণ সোজা এবং শক্ত রাখুন।" | |
| } | |
| } | |
| }, | |
| "mountain_pose": { | |
| "knee_l": { | |
| "issue_low": { | |
| "en": "Keep your left leg straight and engage your thigh muscles.", | |
| "hi": "अपने बाएं पैर को सीधा रखें और अपनी जांघ की मांसपेशियों को सक्रिय करें।", | |
| "bn": "আপনার বাম পা সোজা রাখুন এবং উরুর পেশী সক্রিয় করুন।" | |
| } | |
| }, | |
| "knee_r": { | |
| "issue_low": { | |
| "en": "Keep your right leg straight and engage your thigh muscles.", | |
| "hi": "अपने दाएं पैर को सीधा रखें और अपनी जांघ की मांसपेशियों को सक्रिय करें।", | |
| "bn": "আপনার ডান পা সোজা রাখুন এবং উরুর পেশী সক্রিয় করুন।" | |
| } | |
| }, | |
| "trunk_l": { | |
| "issue_low": { | |
| "en": "Lengthen your spine and stand tall with shoulders relaxed.", | |
| "hi": "अपनी रीढ़ को लंबा करें और कंधों को आराम देते हुए सीधे खड़े हों।", | |
| "bn": "মেরুদণ্ড সোজা করে বুক টানটান করে দাঁড়ান এবং কাঁধ শিথিল রাখুন।" | |
| } | |
| } | |
| }, | |
| "downward_dog": { | |
| "hip_l": { | |
| "issue_low": { | |
| "en": "Lift your hips higher to form a taller inverted V shape.", | |
| "hi": "अपने कूल्हों को ऊंचा उठाएं ताकि एक बड़ा उल्टा वी आकार बने।", | |
| "bn": "একটি বড় উল্টানো ভি আকৃতি তৈরি করতে আপনার নিতম্ব আরও উঁচু করুন।" | |
| } | |
| }, | |
| "knee_l": { | |
| "issue_low": { | |
| "en": "Straighten your legs as much as comfortable, keeping heels reaching down.", | |
| "hi": "जितना आरामदायक हो अपने पैरों को सीधा करें, एड़ियों को नीचे की ओर ले जाते हुए।", | |
| "bn": "যতটা আরামদায়ক পা সোজা করুন, গোড়ালি নিচের দিকে রাখুন।" | |
| } | |
| }, | |
| "shoulder_l": { | |
| "issue_low": { | |
| "en": "Press firmly through your hands and extend your arms fully.", | |
| "hi": "अपने हाथों से मजबूती से दबाएं और अपनी बाहों को पूरी तरह फैलाएं।", | |
| "bn": "হাতের উপর দৃঢ়ভাবে চাপ দিন এবং বাহু সম্পূর্ণ প্রসারিত করুন।" | |
| } | |
| } | |
| } | |
| } | |
| DEFAULT_CORRECTIONS = { | |
| "en": "Maintain your posture, breathing steadily.", | |
| "hi": "अपनी मुद्रा बनाए रखें, लगातार सांस लेते रहें।", | |
| "bn": "আপনার অঙ্গভঙ্গি বজায় রাখুন, নিয়মিত শ্বাস নিন।" | |
| } | |
| # Escalation wrappers for the correction-efficacy loop. | |
| # | |
| # When a cue has been delivered and the targeted joint did NOT measurably | |
| # improve, repeating the identical sentence is the least useful thing the | |
| # system can do -- it is what makes automated coaching feel deaf. These are | |
| # pose-agnostic so they compose with any base cue in any of the three | |
| # languages, instead of needing 3 hand-written variants per pose per joint. | |
| # | |
| # Tier 2 adds the measured magnitude, which turns a vague instruction into a | |
| # quantified one. Tier 3 stops asking for more and backs off, because a cue | |
| # that has failed twice usually means the range of motion is not available | |
| # today -- pushing harder there is exactly the injury risk this system exists | |
| # to avoid. | |
| _ESCALATION = { | |
| 1: { | |
| "en": "{base} You're about {deg} degrees off.", | |
| "hi": "{base} आप लगभग {deg} डिग्री दूर हैं।", | |
| "bn": "{base} আপনি প্রায় {deg} ডিগ্রি দূরে আছেন।", | |
| }, | |
| 2: { | |
| "en": "Ease out of the shape and reset. Come back only as far as feels comfortable today.", | |
| "hi": "मुद्रा से धीरे-धीरे बाहर आएं और फिर से शुरू करें। आज जितना सहज लगे, उतना ही करें।", | |
| "bn": "ভঙ্গি থেকে ধীরে বেরিয়ে আসুন এবং আবার শুরু করুন। আজ যতটা স্বচ্ছন্দ, ততটুকুই করুন।", | |
| }, | |
| } | |
| def _escalate(text: str, language: str, attempt: int, deg: float) -> str: | |
| """attempt counts PRIOR deliveries of this cue that produced no measured | |
| improvement. 0 -> the plain cue.""" | |
| tier = min(int(attempt), 2) | |
| if tier <= 0: | |
| return text | |
| tmpl = _ESCALATION[tier].get(language) or _ESCALATION[tier]["en"] | |
| return tmpl.format(base=text, deg=int(round(deg))) | |
| def generate_safe_correction( | |
| pose_id: str, | |
| deviations: Dict[str, float], | |
| language: str = "en", | |
| groq_api_key: Optional[str] = None, | |
| attempt: int = 0, | |
| ) -> tuple: | |
| """ | |
| Enforces a 3-stage validation pipeline: | |
| Stage 1: Symbolic Rules Engine + Local template matching. | |
| Stage 2: Optional Groq API translation/paraphrase inside safe boundaries. | |
| Stage 3: Post-generation safety validation screening. | |
| """ | |
| pose_templates = BIOMECHANICAL_TEMPLATES.get(pose_id, {}) | |
| # Stage 1: Find highest deviation joint exceeding safe threshold (10 degrees) | |
| target_joint = None | |
| max_dev = 0.0 | |
| for joint, dev_val in deviations.items(): | |
| if joint in pose_templates and dev_val > max_dev: | |
| if dev_val > 10.0: | |
| max_dev = dev_val | |
| target_joint = joint | |
| # Retrieve pre-approved template | |
| if target_joint: | |
| correction_text = pose_templates[target_joint]["issue_low"].get(language, "Adjust your alignment.") | |
| else: | |
| correction_text = DEFAULT_CORRECTIONS.get(language, "Adjust your alignment.") | |
| is_safe = True | |
| # Tier 2 replaces the cue outright with a back-off instruction, so there is | |
| # nothing left to paraphrase and no reason to spend an LLM call on it. | |
| if target_joint and attempt >= 2: | |
| return _escalate(correction_text, language, attempt, max_dev), True, target_joint | |
| # Stage 2: Paraphrase using LLM if Groq API key is available | |
| api_key = groq_api_key or os.environ.get("GROQ_API_KEY") | |
| if api_key: | |
| try: | |
| headers = { | |
| "Authorization": f"Bearer {api_key}", | |
| "Content-Type": "application/json" | |
| } | |
| # Map language code to full language name to instruct the LLM | |
| lang_names = {"en": "English", "hi": "Hindi", "bn": "Bengali"} | |
| target_lang_name = lang_names.get(language, "English") | |
| # qwen/qwen3.6-27b was correct when this was written but has since | |
| # been decommissioned: Groq now answers it with 404 model_not_found. | |
| # Because the non-200 branch below used to be silent, the service | |
| # had been quietly returning the Stage-1 template for every request | |
| # instead of the paraphrase -- verified by the live response being | |
| # byte-identical to the template string. | |
| payload = { | |
| "model": "qwen/qwen3.8-27b", | |
| # A system-only message list is rejected by this model with | |
| # 400 "No user query found in messages", so the instruction to | |
| # rewrite goes in the system role and the text to be rewritten | |
| # goes in the user role -- which is also the correct shape. | |
| "messages": [ | |
| { | |
| "role": "system", | |
| "content": f"You are a professional yoga instructor. Translate or paraphrase the user's instruction into {target_lang_name}. Do NOT suggest stretching further or pushing deeper. Keep it safe, concise (under 15 words), and respond ONLY in the {target_lang_name} language, with no preamble." | |
| }, | |
| {"role": "user", "content": correction_text}, | |
| ], | |
| "temperature": 0.2, | |
| "max_tokens": 120, | |
| "reasoning_format": "hidden" | |
| } | |
| response = requests.post("https://api.groq.com/openai/v1/chat/completions", json=payload, headers=headers, timeout=8) | |
| if response.status_code != 200: | |
| # Log it. The template fallback is a correct and safe outcome, | |
| # which is exactly why a silent one is dangerous: it looks | |
| # identical to success from the outside. | |
| logger.warning( | |
| "Groq correction call returned %s, falling back to template: %s", | |
| response.status_code, response.text[:200]) | |
| if response.status_code == 200: | |
| candidate_text = response.json()["choices"][0]["message"]["content"].strip() | |
| # Stage 3: Post-Generation Safety Validation | |
| forbidden_words = ["push", "force", "hurt", "pain", "stretch more", "further"] | |
| if not any(word in candidate_text.lower() for word in forbidden_words): | |
| correction_text = candidate_text | |
| else: | |
| is_safe = False # Flag candidate as unsafe; fallback to rule-based template | |
| except Exception as e: | |
| logger.warning(f"Groq correction call failed, falling back to template: {e}") | |
| if target_joint and attempt >= 1: | |
| correction_text = _escalate(correction_text, language, attempt, max_dev) | |
| return correction_text, is_safe, target_joint | |