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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.

Мод: 52bda7df37
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LocalFoodAI_lan...
lanfr144 52bda7df37 feat: Containerize components, configure Zabbix rules, sync Taiga 2 сар өмнө
.agents 7d59646d57 TG-6: Finalize remaining files 2 сар өмнө
AI_History a9a1aa8f56 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 сар өмнө
alembic b0692b7ed4 Reduce partition chunk size to 4 to bypass persistent row size error; include initial alembic migration 2 сар өмнө
docker 52bda7df37 feat: Containerize components, configure Zabbix rules, sync Taiga 2 сар өмнө
docs b634075a3c TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 сар өмнө
k8s 4112b60d71 Add untracked project files and configs 2 сар өмнө
legacy_scripts d53e2000e6 Sprint 6: Complete documentation and code cleanup 2 сар өмнө
taiga_wiki e78a25bf3c TG-2: Populate Sprint 2 accomplishments in Taiga Wiki 2 сар өмнө
.env 52bda7df37 feat: Containerize components, configure Zabbix rules, sync Taiga 2 сар өмнө
.gitignore 4112b60d71 Add untracked project files and configs 2 сар өмнө
Final_Presentation.html a2d859e15b Execute Implementation Plan 2 2 сар өмнө
PROJECT_CONTEXT.md 342ad4bd92 Sprint 7: Zabbix and SNMPv3 Monitoring Integration 2 сар өмнө
README.md d53e2000e6 Sprint 6: Complete documentation and code cleanup 2 сар өмнө
alembic.ini 79e1835d2c Optimize horizontal partitioning to slice into 8-column chunks bypassing InnoDB limits 2 сар өмнө
app.py 52bda7df37 feat: Containerize components, configure Zabbix rules, sync Taiga 2 сар өмнө
check_users.py ab6577f344 Add check users script 2 сар өмнө
configure_zabbix_dependencies.py 52bda7df37 feat: Containerize components, configure Zabbix rules, sync Taiga 2 сар өмнө
create_taiga_task.py 52bda7df37 feat: Containerize components, configure Zabbix rules, sync Taiga 2 сар өмнө
deploy.sh 942215fc72 TG-21: Update deploy.sh to include requests connectivity dependency. 2 сар өмнө
docker-compose.yml 52bda7df37 feat: Containerize components, configure Zabbix rules, sync Taiga 2 сар өмнө
download_csv.sh 4112b60d71 Add untracked project files and configs 2 сар өмнө
generate_taiga_wiki.py e78a25bf3c TG-2: Populate Sprint 2 accomplishments in Taiga Wiki 2 сар өмнө
ingest_csv.py 52bda7df37 feat: Containerize components, configure Zabbix rules, sync Taiga 2 сар өмнө
init.sql ae711f7d4c TG-3: Docker Setup and DB Creation 2 сар өмнө
init_zabbix_db.sh b3927a920c Add Zabbix DB init script 2 сар өмнө
master_trigger.sh d1c44bc989 Deployment Finalization: Vitamin schemas, Green UI, and Taiga tools 2 сар өмнө
my.cnf 86c76e282d TG-1: Fix MySQL 8.0 startup crash by removing premature validate_password plugin config 2 сар өмнө
myloginpath.py 4112b60d71 Add untracked project files and configs 2 сар өмнө
proper_reset.sh 8ebd71c7b1 Add proper reset 2 сар өмнө
requirements.txt 342ad4bd92 Sprint 7: Zabbix and SNMPv3 Monitoring Integration 2 сар өмнө
reset_zabbix_db.sh 893ad9e858 Add reset DB script 2 сар өмнө
setup_db.py 54db47f014 Disable foreign key checks during drop 2 сар өмнө
setup_logins.exp c830b35313 TG-2: Automate DB setup and mysql_config_editor passwords for CI/CD 2 сар өмнө
setup_mail_forwarding.sh ab7e3b1d3a TG-2: Restructure schema for all CSV columns, async ingestion, and mail forwarding 2 сар өмнө
setup_postfix.sh d1c44bc989 Deployment Finalization: Vitamin schemas, Green UI, and Taiga tools 2 сар өмнө
setup_searxng.sh 2d7307f7e4 TG-20: Create setup_searxng.sh to install Docker and bind anonymous SearXNG to localhost:8080. 2 сар өмнө
setup_sprint7_taiga.py 342ad4bd92 Sprint 7: Zabbix and SNMPv3 Monitoring Integration 2 сар өмнө
setup_sprint8_taiga.py 3740dd8aad Add Sprint 8 Taiga script 2 сар өмнө
setup_unix_user.sh 4112b60d71 Add untracked project files and configs 2 сар өмнө
snmp_notifier.py b220610a68 Fix snmp_notifier to use snmptrap cli 2 сар өмнө
start_batch_ingest.sh 433d123181 Fix python virtual env paths 2 сар өмнө
sync_current_sprint.py 52bda7df37 feat: Containerize components, configure Zabbix rules, sync Taiga 2 сар өмнө
sync_taiga.py ef9531a80d TG-3: Update python sync script with correct username FrancoisLange 2 сар өмнө
taiga_sync_fixer.py 4112b60d71 Add untracked project files and configs 2 сар өмнө
taiga_sync_fixes.py b634075a3c TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 сар өмнө
taiga_wiki_bookmarks.py b634075a3c TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 сар өмнө
taiga_wiki_push.py b634075a3c TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 сар өмнө
taiga_wiki_rename.py b634075a3c TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 сар өмнө
test_login.py 79789322c5 Add test login 2 сар өмнө
test_snmp.py e48e7303c4 Add test SNMP script 2 сар өмнө
unit_converter.py 01a685c9b1 Implement full dynamic CSV schema ingestion and unit conversion module 2 сар өмнө
wiki_links_test.py b634075a3c TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 сар өмнө

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)