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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.

Träd: f52c4027cb
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LocalFoodAI_lan...
lanfr144 f52c4027cb feat: add Zabbix dashboard creation script 2 månader sedan
.agents 7d59646d57 TG-6: Finalize remaining files 2 månader sedan
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 månader sedan
alembic b0692b7ed4 Reduce partition chunk size to 4 to bypass persistent row size error; include initial alembic migration 2 månader sedan
docker 52bda7df37 feat: Containerize components, configure Zabbix rules, sync Taiga 2 månader sedan
docs b634075a3c TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 månader sedan
k8s 4112b60d71 Add untracked project files and configs 2 månader sedan
legacy_scripts d53e2000e6 Sprint 6: Complete documentation and code cleanup 2 månader sedan
taiga_wiki e78a25bf3c TG-2: Populate Sprint 2 accomplishments in Taiga Wiki 2 månader sedan
.dockerignore d97797349f fix: remove GPU reservation, change MySQL port to avoid collision, add dockerignore 2 månader sedan
.env 2f893b215d fix: docker build context and setup password rotation 2 månader sedan
.gitignore 4112b60d71 Add untracked project files and configs 2 månader sedan
Final_Presentation.html a2d859e15b Execute Implementation Plan 2 2 månader sedan
PROJECT_CONTEXT.md 342ad4bd92 Sprint 7: Zabbix and SNMPv3 Monitoring Integration 2 månader sedan
README.md d53e2000e6 Sprint 6: Complete documentation and code cleanup 2 månader sedan
alembic.ini 79e1835d2c Optimize horizontal partitioning to slice into 8-column chunks bypassing InnoDB limits 2 månader sedan
app.py 52bda7df37 feat: Containerize components, configure Zabbix rules, sync Taiga 2 månader sedan
check_users.py ab6577f344 Add check users script 2 månader sedan
configure_zabbix_dependencies.py f52c4027cb feat: add Zabbix dashboard creation script 2 månader sedan
create_taiga_task.py 52bda7df37 feat: Containerize components, configure Zabbix rules, sync Taiga 2 månader sedan
create_zabbix_dashboard.py f52c4027cb feat: add Zabbix dashboard creation script 2 månader sedan
deploy.sh 942215fc72 TG-21: Update deploy.sh to include requests connectivity dependency. 2 månader sedan
docker-compose.yml fb501a581c fix: map frontend ports to 8502 and 8081 to completely bypass all rogue collisions 2 månader sedan
download_csv.sh 4112b60d71 Add untracked project files and configs 2 månader sedan
generate_taiga_wiki.py e78a25bf3c TG-2: Populate Sprint 2 accomplishments in Taiga Wiki 2 månader sedan
ingest_csv.py 52bda7df37 feat: Containerize components, configure Zabbix rules, sync Taiga 2 månader sedan
init.sql ae711f7d4c TG-3: Docker Setup and DB Creation 2 månader sedan
init_zabbix_db.sh b3927a920c Add Zabbix DB init script 2 månader sedan
master_trigger.sh d1c44bc989 Deployment Finalization: Vitamin schemas, Green UI, and Taiga tools 2 månader sedan
my.cnf 86c76e282d TG-1: Fix MySQL 8.0 startup crash by removing premature validate_password plugin config 2 månader sedan
myloginpath.py 4112b60d71 Add untracked project files and configs 2 månader sedan
proper_reset.sh 8ebd71c7b1 Add proper reset 2 månader sedan
requirements.txt 342ad4bd92 Sprint 7: Zabbix and SNMPv3 Monitoring Integration 2 månader sedan
reset_zabbix_db.sh 893ad9e858 Add reset DB script 2 månader sedan
rotate_passwords.py d97797349f fix: remove GPU reservation, change MySQL port to avoid collision, add dockerignore 2 månader sedan
setup_db.py 54db47f014 Disable foreign key checks during drop 2 månader sedan
setup_logins.exp c830b35313 TG-2: Automate DB setup and mysql_config_editor passwords for CI/CD 2 månader sedan
setup_mail_forwarding.sh ab7e3b1d3a TG-2: Restructure schema for all CSV columns, async ingestion, and mail forwarding 2 månader sedan
setup_postfix.sh d1c44bc989 Deployment Finalization: Vitamin schemas, Green UI, and Taiga tools 2 månader sedan
setup_searxng.sh 2d7307f7e4 TG-20: Create setup_searxng.sh to install Docker and bind anonymous SearXNG to localhost:8080. 2 månader sedan
setup_sprint7_taiga.py 342ad4bd92 Sprint 7: Zabbix and SNMPv3 Monitoring Integration 2 månader sedan
setup_sprint8_taiga.py 3740dd8aad Add Sprint 8 Taiga script 2 månader sedan
setup_unix_user.sh 4112b60d71 Add untracked project files and configs 2 månader sedan
snmp_notifier.py b220610a68 Fix snmp_notifier to use snmptrap cli 2 månader sedan
start_batch_ingest.sh 433d123181 Fix python virtual env paths 2 månader sedan
sync_current_sprint.py 52bda7df37 feat: Containerize components, configure Zabbix rules, sync Taiga 2 månader sedan
sync_taiga.py ef9531a80d TG-3: Update python sync script with correct username FrancoisLange 2 månader sedan
taiga_sync_fixer.py 4112b60d71 Add untracked project files and configs 2 månader sedan
taiga_sync_fixes.py b634075a3c TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 månader sedan
taiga_wiki_bookmarks.py b634075a3c TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 månader sedan
taiga_wiki_push.py b634075a3c TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 månader sedan
taiga_wiki_rename.py b634075a3c TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 månader sedan
test_login.py 79789322c5 Add test login 2 månader sedan
test_snmp.py e48e7303c4 Add test SNMP script 2 månader sedan
unit_converter.py 01a685c9b1 Implement full dynamic CSV schema ingestion and unit conversion module 2 månader sedan
wiki_links_test.py b634075a3c TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 månader sedan

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)