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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.

Koks: 92fca88db4
Atzari Tagi
LocalFoodAI_lan...
lanfr144 92fca88db4 fix: auto-create target tables and sanitize snmp notifications 2 mēneši atpakaļ
.agents 7d59646d57 TG-6: Finalize remaining files 2 mēneši atpakaļ
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 mēneši atpakaļ
alembic b0692b7ed4 Reduce partition chunk size to 4 to bypass persistent row size error; include initial alembic migration 2 mēneši atpakaļ
docker 52bda7df37 feat: Containerize components, configure Zabbix rules, sync Taiga 2 mēneši atpakaļ
docs b634075a3c TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 mēneši atpakaļ
k8s 4112b60d71 Add untracked project files and configs 2 mēneši atpakaļ
legacy_scripts d53e2000e6 Sprint 6: Complete documentation and code cleanup 2 mēneši atpakaļ
taiga_wiki e78a25bf3c TG-2: Populate Sprint 2 accomplishments in Taiga Wiki 2 mēneši atpakaļ
.dockerignore d97797349f fix: remove GPU reservation, change MySQL port to avoid collision, add dockerignore 2 mēneši atpakaļ
.gitignore 4112b60d71 Add untracked project files and configs 2 mēneši atpakaļ
Final_Presentation.html a2d859e15b Execute Implementation Plan 2 2 mēneši atpakaļ
PROJECT_CONTEXT.md 342ad4bd92 Sprint 7: Zabbix and SNMPv3 Monitoring Integration 2 mēneši atpakaļ
README.md d53e2000e6 Sprint 6: Complete documentation and code cleanup 2 mēneši atpakaļ
alembic.ini 79e1835d2c Optimize horizontal partitioning to slice into 8-column chunks bypassing InnoDB limits 2 mēneši atpakaļ
app.py 997f3544e7 fix: chat input indentation causing NameError prompt not defined 2 mēneši atpakaļ
check_users.py ab6577f344 Add check users script 2 mēneši atpakaļ
configure_zabbix_dependencies.py f52c4027cb feat: add Zabbix dashboard creation script 2 mēneši atpakaļ
configure_zabbix_email.py 4950ef8f41 fix: update Zabbix auth payload for v7.0 and add debug logs 2 mēneši atpakaļ
create_taiga_task.py 52bda7df37 feat: Containerize components, configure Zabbix rules, sync Taiga 2 mēneši atpakaļ
create_zabbix_dashboard.py 4950ef8f41 fix: update Zabbix auth payload for v7.0 and add debug logs 2 mēneši atpakaļ
deploy.sh 942215fc72 TG-21: Update deploy.sh to include requests connectivity dependency. 2 mēneši atpakaļ
docker-compose.yml 0cc2b1f716 fix: inject app auth credentials into app container to resolve privilege error 2 mēneši atpakaļ
download_csv.sh 6554145d0d fix: resolve pip encoding issue and add exec permissions to download script 2 mēneši atpakaļ
generate_taiga_wiki.py e78a25bf3c TG-2: Populate Sprint 2 accomplishments in Taiga Wiki 2 mēneši atpakaļ
ingest_csv.py 92fca88db4 fix: auto-create target tables and sanitize snmp notifications 2 mēneši atpakaļ
init.sql 184ae455a8 fix: add missing plates tables and partitioned products permissions 2 mēneši atpakaļ
init_zabbix_db.sh b3927a920c Add Zabbix DB init script 2 mēneši atpakaļ
master_trigger.sh d1c44bc989 Deployment Finalization: Vitamin schemas, Green UI, and Taiga tools 2 mēneši atpakaļ
my.cnf 86c76e282d TG-1: Fix MySQL 8.0 startup crash by removing premature validate_password plugin config 2 mēneši atpakaļ
myloginpath.py 4112b60d71 Add untracked project files and configs 2 mēneši atpakaļ
proper_reset.sh 8ebd71c7b1 Add proper reset 2 mēneši atpakaļ
requirements.txt c9e5bd94a2 fix: add missing sqlalchemy and requests dependencies 2 mēneši atpakaļ
reset_zabbix_db.sh 893ad9e858 Add reset DB script 2 mēneši atpakaļ
rotate_passwords.py d97797349f fix: remove GPU reservation, change MySQL port to avoid collision, add dockerignore 2 mēneši atpakaļ
setup_mail_forwarding.sh ab7e3b1d3a TG-2: Restructure schema for all CSV columns, async ingestion, and mail forwarding 2 mēneši atpakaļ
setup_postfix.sh d1c44bc989 Deployment Finalization: Vitamin schemas, Green UI, and Taiga tools 2 mēneši atpakaļ
setup_searxng.sh 2d7307f7e4 TG-20: Create setup_searxng.sh to install Docker and bind anonymous SearXNG to localhost:8080. 2 mēneši atpakaļ
setup_sprint7_taiga.py 342ad4bd92 Sprint 7: Zabbix and SNMPv3 Monitoring Integration 2 mēneši atpakaļ
setup_sprint8_taiga.py 3740dd8aad Add Sprint 8 Taiga script 2 mēneši atpakaļ
setup_unix_user.sh 4112b60d71 Add untracked project files and configs 2 mēneši atpakaļ
snmp_notifier.py 92fca88db4 fix: auto-create target tables and sanitize snmp notifications 2 mēneši atpakaļ
start_batch_ingest.sh 433d123181 Fix python virtual env paths 2 mēneši atpakaļ
sync_current_sprint.py 52bda7df37 feat: Containerize components, configure Zabbix rules, sync Taiga 2 mēneši atpakaļ
sync_taiga.py ef9531a80d TG-3: Update python sync script with correct username FrancoisLange 2 mēneši atpakaļ
taiga_sync_fixer.py 4112b60d71 Add untracked project files and configs 2 mēneši atpakaļ
taiga_sync_fixes.py b634075a3c TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 mēneši atpakaļ
taiga_wiki_bookmarks.py b634075a3c TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 mēneši atpakaļ
taiga_wiki_push.py b634075a3c TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 mēneši atpakaļ
taiga_wiki_rename.py b634075a3c TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 mēneši atpakaļ
test_login.py 79789322c5 Add test login 2 mēneši atpakaļ
test_snmp.py e48e7303c4 Add test SNMP script 2 mēneši atpakaļ
unit_converter.py 01a685c9b1 Implement full dynamic CSV schema ingestion and unit conversion module 2 mēneši atpakaļ
update_taiga_status.py 1cbdd147d8 feat: complete email alerting config and Taiga closure 2 mēneši atpakaļ
wiki_links_test.py b634075a3c TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 mēneši atpakaļ

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)