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Repository used for the DOPRO project dealing with food AI.
This repository contains:
a full Taiga export plus all other documents that are part of your project planning, including any project presentation materials.
the full final product, including all files, documentation and presentation materials.

Drzewo: 8cfa56c45a
Gałęzie Tagi
LocalFoodAI_lan...
lanfr144 8cfa56c45a TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 miesięcy temu
.agents 7d59646d57 TG-6: Finalize remaining files 2 miesięcy temu
AI_History f851d49f92 TG-29 TG-31 TG-32 TG-33: Implement EAV Architecture, Dynamic Medical CRUD UI, DataFrame Alert Engine, and Email Resets. TG-30: Fix Windows utf8 Encoding in Ingestion Engine. 2 miesięcy temu
alembic 0fd29e16de Reduce partition chunk size to 4 to bypass persistent row size error; include initial alembic migration 2 miesięcy temu
docker bfda8a610b Add snmp to Streamlit container for traps 2 miesięcy temu
docs 8cfa56c45a TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 miesięcy temu
k8s 4655c26f1f Add untracked project files and configs 2 miesięcy temu
legacy_scripts c812444386 Sprint 6: Complete documentation and code cleanup 2 miesięcy temu
taiga_wiki e78a25bf3c TG-2: Populate Sprint 2 accomplishments in Taiga Wiki 2 miesięcy temu
.gitignore 4655c26f1f Add untracked project files and configs 2 miesięcy temu
Final_Presentation.html 1558f08eca Execute Implementation Plan 2 2 miesięcy temu
PROJECT_CONTEXT.md e3f96b1f33 Sprint 7: Zabbix and SNMPv3 Monitoring Integration 2 miesięcy temu
README.md c812444386 Sprint 6: Complete documentation and code cleanup 2 miesięcy temu
alembic.ini 73f7a04cd0 Optimize horizontal partitioning to slice into 8-column chunks bypassing InnoDB limits 2 miesięcy temu
app.py 8cfa56c45a TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 miesięcy temu
check_users.py 7766898050 Add check users script 2 miesięcy temu
deploy.sh a54dc25344 TG-21: Update deploy.sh to include requests connectivity dependency. 2 miesięcy temu
download_csv.sh 4655c26f1f Add untracked project files and configs 2 miesięcy temu
generate_taiga_wiki.py e78a25bf3c TG-2: Populate Sprint 2 accomplishments in Taiga Wiki 2 miesięcy temu
ingest_csv.py e3f96b1f33 Sprint 7: Zabbix and SNMPv3 Monitoring Integration 2 miesięcy temu
init.sql ae711f7d4c TG-3: Docker Setup and DB Creation 2 miesięcy temu
init_zabbix_db.sh 06df1fda4e Add Zabbix DB init script 2 miesięcy temu
master_trigger.sh 38a83a1bf0 Deployment Finalization: Vitamin schemas, Green UI, and Taiga tools 2 miesięcy temu
my.cnf 86c76e282d TG-1: Fix MySQL 8.0 startup crash by removing premature validate_password plugin config 2 miesięcy temu
myloginpath.py 4655c26f1f Add untracked project files and configs 2 miesięcy temu
proper_reset.sh 776d6a6153 Add proper reset 2 miesięcy temu
requirements.txt e3f96b1f33 Sprint 7: Zabbix and SNMPv3 Monitoring Integration 2 miesięcy temu
reset_zabbix_db.sh 9e59bd56c5 Add reset DB script 2 miesięcy temu
setup_db.py d5eae6eb05 Disable foreign key checks during drop 2 miesięcy temu
setup_logins.exp c830b35313 TG-2: Automate DB setup and mysql_config_editor passwords for CI/CD 2 miesięcy temu
setup_mail_forwarding.sh ab7e3b1d3a TG-2: Restructure schema for all CSV columns, async ingestion, and mail forwarding 2 miesięcy temu
setup_postfix.sh 38a83a1bf0 Deployment Finalization: Vitamin schemas, Green UI, and Taiga tools 2 miesięcy temu
setup_searxng.sh ebfb102bc7 TG-20: Create setup_searxng.sh to install Docker and bind anonymous SearXNG to localhost:8080. 2 miesięcy temu
setup_sprint7_taiga.py e3f96b1f33 Sprint 7: Zabbix and SNMPv3 Monitoring Integration 2 miesięcy temu
setup_sprint8_taiga.py 69bad82b3b Add Sprint 8 Taiga script 2 miesięcy temu
setup_unix_user.sh 4655c26f1f Add untracked project files and configs 2 miesięcy temu
snmp_notifier.py c7eda9a94d Fix snmp_notifier to use snmptrap cli 2 miesięcy temu
start_batch_ingest.sh 00f1d63625 Fix python virtual env paths 2 miesięcy temu
sync_taiga.py ef9531a80d TG-3: Update python sync script with correct username FrancoisLange 2 miesięcy temu
taiga_sync_fixer.py 4655c26f1f Add untracked project files and configs 2 miesięcy temu
taiga_sync_fixes.py 8cfa56c45a TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 miesięcy temu
taiga_wiki_bookmarks.py 8cfa56c45a TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 miesięcy temu
taiga_wiki_push.py 8cfa56c45a TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 miesięcy temu
taiga_wiki_rename.py 8cfa56c45a TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 miesięcy temu
test_login.py d7f6558318 Add test login 2 miesięcy temu
test_snmp.py 1d5ce8580c Add test SNMP script 2 miesięcy temu
unit_converter.py 620543f87d Implement full dynamic CSV schema ingestion and unit conversion module 2 miesięcy temu
wiki_links_test.py 8cfa56c45a TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 miesięcy temu

README.md

Local Food AI 🍔

A strictly local, privacy-first AI Medical Dietitian and Food Explorer. This project leverages the OpenFoodFacts dataset and local LLMs (Ollama) to provide medically sound dietary advice, recipe parsing, and menu planning without sending any user data to the cloud.

Features

  • Dynamic Medical Profiling: Configure your health profile (e.g., Kidney issues, pregnancy, vegan). The AI dynamically adjusts all responses, recommendations, and warnings based on these exact medical needs.
  • RAG Architecture: The AI is connected to a massively partitioned local MySQL database. When you ask a question or request a meal plan, the AI executes SQL queries autonomously to fetch precise nutritional data.
  • Plate Builder & Unit Conversion: Input culinary recipes (e.g., "1.5 cups of flour") and the system converts them to metric standard weights based on the product's density.
  • High-Performance Database: Implements Grouped Vertical Partitioning to bypass InnoDB limits, featuring FULLTEXT indexing for lightning-fast search capabilities across millions of foods.

Documentation

Please refer to the docs/ folder for detailed guides:

Tech Stack

  • Frontend: Streamlit
  • Database: MySQL 8.0
  • AI Engine: Ollama (Mistral / Llama3)
  • Deployment: Native Ubuntu, Docker, Kubernetes
  • Project Management: Taiga (Synced dynamically via Python)