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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: d2019146e8
Салаанууд Тагууд
LocalFoodAI_lan...
lanfr144 d2019146e8 fix: add missing email column to users table 2 сар өмнө
.agents 7d59646d57 TG-6: Finalize remaining files 2 сар өмнө
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 сар өмнө
alembic 0fd29e16de Reduce partition chunk size to 4 to bypass persistent row size error; include initial alembic migration 2 сар өмнө
docker 2a4f8d488f feat: Containerize components, configure Zabbix rules, sync Taiga 2 сар өмнө
docs 8cfa56c45a TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 сар өмнө
k8s 4655c26f1f Add untracked project files and configs 2 сар өмнө
legacy_scripts c812444386 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
.dockerignore 05df9bef41 fix: remove GPU reservation, change MySQL port to avoid collision, add dockerignore 2 сар өмнө
.env 9fc389ea56 feat: complete email alerting config and Taiga closure 2 сар өмнө
.gitignore 4655c26f1f Add untracked project files and configs 2 сар өмнө
Final_Presentation.html 1558f08eca Execute Implementation Plan 2 2 сар өмнө
PROJECT_CONTEXT.md e3f96b1f33 Sprint 7: Zabbix and SNMPv3 Monitoring Integration 2 сар өмнө
README.md c812444386 Sprint 6: Complete documentation and code cleanup 2 сар өмнө
alembic.ini 73f7a04cd0 Optimize horizontal partitioning to slice into 8-column chunks bypassing InnoDB limits 2 сар өмнө
app.py 2a4f8d488f feat: Containerize components, configure Zabbix rules, sync Taiga 2 сар өмнө
check_users.py 7766898050 Add check users script 2 сар өмнө
configure_zabbix_dependencies.py 9506807c76 feat: add Zabbix dashboard creation script 2 сар өмнө
configure_zabbix_email.py 097b99bd50 fix: update Zabbix auth payload for v7.0 and add debug logs 2 сар өмнө
create_taiga_task.py 2a4f8d488f feat: Containerize components, configure Zabbix rules, sync Taiga 2 сар өмнө
create_zabbix_dashboard.py 097b99bd50 fix: update Zabbix auth payload for v7.0 and add debug logs 2 сар өмнө
deploy.sh a54dc25344 TG-21: Update deploy.sh to include requests connectivity dependency. 2 сар өмнө
docker-compose.yml ca99780187 fix: inject app auth credentials into app container to resolve privilege error 2 сар өмнө
download_csv.sh 4655c26f1f 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 2a4f8d488f feat: Containerize components, configure Zabbix rules, sync Taiga 2 сар өмнө
init.sql d2019146e8 fix: add missing email column to users table 2 сар өмнө
init_zabbix_db.sh 06df1fda4e Add Zabbix DB init script 2 сар өмнө
master_trigger.sh 38a83a1bf0 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 4655c26f1f Add untracked project files and configs 2 сар өмнө
proper_reset.sh 776d6a6153 Add proper reset 2 сар өмнө
requirements.txt e3f96b1f33 Sprint 7: Zabbix and SNMPv3 Monitoring Integration 2 сар өмнө
reset_zabbix_db.sh 9e59bd56c5 Add reset DB script 2 сар өмнө
rotate_passwords.py 05df9bef41 fix: remove GPU reservation, change MySQL port to avoid collision, add dockerignore 2 сар өмнө
setup_db.py d5eae6eb05 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 38a83a1bf0 Deployment Finalization: Vitamin schemas, Green UI, and Taiga tools 2 сар өмнө
setup_searxng.sh ebfb102bc7 TG-20: Create setup_searxng.sh to install Docker and bind anonymous SearXNG to localhost:8080. 2 сар өмнө
setup_sprint7_taiga.py e3f96b1f33 Sprint 7: Zabbix and SNMPv3 Monitoring Integration 2 сар өмнө
setup_sprint8_taiga.py 69bad82b3b Add Sprint 8 Taiga script 2 сар өмнө
setup_unix_user.sh 4655c26f1f Add untracked project files and configs 2 сар өмнө
snmp_notifier.py c7eda9a94d Fix snmp_notifier to use snmptrap cli 2 сар өмнө
start_batch_ingest.sh 00f1d63625 Fix python virtual env paths 2 сар өмнө
sync_current_sprint.py 2a4f8d488f 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 4655c26f1f Add untracked project files and configs 2 сар өмнө
taiga_sync_fixes.py 8cfa56c45a TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 сар өмнө
taiga_wiki_bookmarks.py 8cfa56c45a TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 сар өмнө
taiga_wiki_push.py 8cfa56c45a TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 сар өмнө
taiga_wiki_rename.py 8cfa56c45a TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 сар өмнө
test_login.py d7f6558318 Add test login 2 сар өмнө
test_snmp.py 1d5ce8580c Add test SNMP script 2 сар өмнө
unit_converter.py 620543f87d Implement full dynamic CSV schema ingestion and unit conversion module 2 сар өмнө
update_taiga_status.py 9fc389ea56 feat: complete email alerting config and Taiga closure 2 сар өмнө
wiki_links_test.py 8cfa56c45a 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)