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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.

Struktur: 097b99bd50
Branches Tags
LocalFoodAI_lan...
lanfr144 097b99bd50 fix: update Zabbix auth payload for v7.0 and add debug logs vor 1 Woche
.agents 7d59646d57 TG-6: Finalize remaining files vor 1 Monat
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. vor 3 Wochen
alembic 0fd29e16de Reduce partition chunk size to 4 to bypass persistent row size error; include initial alembic migration vor 3 Wochen
docker 2a4f8d488f feat: Containerize components, configure Zabbix rules, sync Taiga vor 1 Woche
docs 8cfa56c45a TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON vor 2 Wochen
k8s 4655c26f1f Add untracked project files and configs vor 2 Wochen
legacy_scripts c812444386 Sprint 6: Complete documentation and code cleanup vor 2 Wochen
taiga_wiki e78a25bf3c TG-2: Populate Sprint 2 accomplishments in Taiga Wiki vor 4 Wochen
.dockerignore 05df9bef41 fix: remove GPU reservation, change MySQL port to avoid collision, add dockerignore vor 1 Woche
.env 9fc389ea56 feat: complete email alerting config and Taiga closure vor 1 Woche
.gitignore 4655c26f1f Add untracked project files and configs vor 2 Wochen
Final_Presentation.html 1558f08eca Execute Implementation Plan 2 vor 3 Wochen
PROJECT_CONTEXT.md e3f96b1f33 Sprint 7: Zabbix and SNMPv3 Monitoring Integration vor 2 Wochen
README.md c812444386 Sprint 6: Complete documentation and code cleanup vor 2 Wochen
alembic.ini 73f7a04cd0 Optimize horizontal partitioning to slice into 8-column chunks bypassing InnoDB limits vor 3 Wochen
app.py 2a4f8d488f feat: Containerize components, configure Zabbix rules, sync Taiga vor 1 Woche
check_users.py 7766898050 Add check users script vor 2 Wochen
configure_zabbix_dependencies.py 9506807c76 feat: add Zabbix dashboard creation script vor 1 Woche
configure_zabbix_email.py 097b99bd50 fix: update Zabbix auth payload for v7.0 and add debug logs vor 1 Woche
create_taiga_task.py 2a4f8d488f feat: Containerize components, configure Zabbix rules, sync Taiga vor 1 Woche
create_zabbix_dashboard.py 097b99bd50 fix: update Zabbix auth payload for v7.0 and add debug logs vor 1 Woche
deploy.sh a54dc25344 TG-21: Update deploy.sh to include requests connectivity dependency. vor 3 Wochen
docker-compose.yml 853603a959 fix: map frontend ports to 8502 and 8081 to completely bypass all rogue collisions vor 1 Woche
download_csv.sh 4655c26f1f Add untracked project files and configs vor 2 Wochen
generate_taiga_wiki.py e78a25bf3c TG-2: Populate Sprint 2 accomplishments in Taiga Wiki vor 4 Wochen
ingest_csv.py 2a4f8d488f feat: Containerize components, configure Zabbix rules, sync Taiga vor 1 Woche
init.sql ae711f7d4c TG-3: Docker Setup and DB Creation vor 1 Monat
init_zabbix_db.sh 06df1fda4e Add Zabbix DB init script vor 2 Wochen
master_trigger.sh 38a83a1bf0 Deployment Finalization: Vitamin schemas, Green UI, and Taiga tools vor 3 Wochen
my.cnf 86c76e282d TG-1: Fix MySQL 8.0 startup crash by removing premature validate_password plugin config vor 4 Wochen
myloginpath.py 4655c26f1f Add untracked project files and configs vor 2 Wochen
proper_reset.sh 776d6a6153 Add proper reset vor 2 Wochen
requirements.txt e3f96b1f33 Sprint 7: Zabbix and SNMPv3 Monitoring Integration vor 2 Wochen
reset_zabbix_db.sh 9e59bd56c5 Add reset DB script vor 2 Wochen
rotate_passwords.py 05df9bef41 fix: remove GPU reservation, change MySQL port to avoid collision, add dockerignore vor 1 Woche
setup_db.py d5eae6eb05 Disable foreign key checks during drop vor 2 Wochen
setup_logins.exp c830b35313 TG-2: Automate DB setup and mysql_config_editor passwords for CI/CD vor 4 Wochen
setup_mail_forwarding.sh ab7e3b1d3a TG-2: Restructure schema for all CSV columns, async ingestion, and mail forwarding vor 3 Wochen
setup_postfix.sh 38a83a1bf0 Deployment Finalization: Vitamin schemas, Green UI, and Taiga tools vor 3 Wochen
setup_searxng.sh ebfb102bc7 TG-20: Create setup_searxng.sh to install Docker and bind anonymous SearXNG to localhost:8080. vor 3 Wochen
setup_sprint7_taiga.py e3f96b1f33 Sprint 7: Zabbix and SNMPv3 Monitoring Integration vor 2 Wochen
setup_sprint8_taiga.py 69bad82b3b Add Sprint 8 Taiga script vor 2 Wochen
setup_unix_user.sh 4655c26f1f Add untracked project files and configs vor 2 Wochen
snmp_notifier.py c7eda9a94d Fix snmp_notifier to use snmptrap cli vor 2 Wochen
start_batch_ingest.sh 00f1d63625 Fix python virtual env paths vor 3 Wochen
sync_current_sprint.py 2a4f8d488f feat: Containerize components, configure Zabbix rules, sync Taiga vor 1 Woche
sync_taiga.py ef9531a80d TG-3: Update python sync script with correct username FrancoisLange vor 4 Wochen
taiga_sync_fixer.py 4655c26f1f Add untracked project files and configs vor 2 Wochen
taiga_sync_fixes.py 8cfa56c45a TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON vor 2 Wochen
taiga_wiki_bookmarks.py 8cfa56c45a TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON vor 2 Wochen
taiga_wiki_push.py 8cfa56c45a TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON vor 2 Wochen
taiga_wiki_rename.py 8cfa56c45a TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON vor 2 Wochen
test_login.py d7f6558318 Add test login vor 2 Wochen
test_snmp.py 1d5ce8580c Add test SNMP script vor 2 Wochen
unit_converter.py 620543f87d Implement full dynamic CSV schema ingestion and unit conversion module vor 2 Wochen
update_taiga_status.py 9fc389ea56 feat: complete email alerting config and Taiga closure vor 1 Woche
wiki_links_test.py 8cfa56c45a TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON vor 2 Wochen

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)