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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.

ИН на ревизия: f001814252
Клонове Маркери
LocalFoodAI_lan...
lanfr144 f001814252 fix: docker build context and setup password rotation преди 1 седмица
.agents 7d59646d57 TG-6: Finalize remaining files преди 4 седмици
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. преди 3 седмици
alembic 0fd29e16de Reduce partition chunk size to 4 to bypass persistent row size error; include initial alembic migration преди 3 седмици
docker 2a4f8d488f feat: Containerize components, configure Zabbix rules, sync Taiga преди 1 седмица
docs 8cfa56c45a TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON преди 2 седмици
k8s 4655c26f1f Add untracked project files and configs преди 2 седмици
legacy_scripts c812444386 Sprint 6: Complete documentation and code cleanup преди 2 седмици
taiga_wiki e78a25bf3c TG-2: Populate Sprint 2 accomplishments in Taiga Wiki преди 4 седмици
.env f001814252 fix: docker build context and setup password rotation преди 1 седмица
.gitignore 4655c26f1f Add untracked project files and configs преди 2 седмици
Final_Presentation.html 1558f08eca Execute Implementation Plan 2 преди 3 седмици
PROJECT_CONTEXT.md e3f96b1f33 Sprint 7: Zabbix and SNMPv3 Monitoring Integration преди 2 седмици
README.md c812444386 Sprint 6: Complete documentation and code cleanup преди 2 седмици
alembic.ini 73f7a04cd0 Optimize horizontal partitioning to slice into 8-column chunks bypassing InnoDB limits преди 3 седмици
app.py 2a4f8d488f feat: Containerize components, configure Zabbix rules, sync Taiga преди 1 седмица
check_users.py 7766898050 Add check users script преди 2 седмици
configure_zabbix_dependencies.py 2a4f8d488f feat: Containerize components, configure Zabbix rules, sync Taiga преди 1 седмица
create_taiga_task.py 2a4f8d488f feat: Containerize components, configure Zabbix rules, sync Taiga преди 1 седмица
deploy.sh a54dc25344 TG-21: Update deploy.sh to include requests connectivity dependency. преди 3 седмици
docker-compose.yml f001814252 fix: docker build context and setup password rotation преди 1 седмица
download_csv.sh 4655c26f1f Add untracked project files and configs преди 2 седмици
generate_taiga_wiki.py e78a25bf3c TG-2: Populate Sprint 2 accomplishments in Taiga Wiki преди 4 седмици
ingest_csv.py 2a4f8d488f feat: Containerize components, configure Zabbix rules, sync Taiga преди 1 седмица
init.sql ae711f7d4c TG-3: Docker Setup and DB Creation преди 4 седмици
init_zabbix_db.sh 06df1fda4e Add Zabbix DB init script преди 2 седмици
master_trigger.sh 38a83a1bf0 Deployment Finalization: Vitamin schemas, Green UI, and Taiga tools преди 3 седмици
my.cnf 86c76e282d TG-1: Fix MySQL 8.0 startup crash by removing premature validate_password plugin config преди 4 седмици
myloginpath.py 4655c26f1f Add untracked project files and configs преди 2 седмици
proper_reset.sh 776d6a6153 Add proper reset преди 2 седмици
requirements.txt e3f96b1f33 Sprint 7: Zabbix and SNMPv3 Monitoring Integration преди 2 седмици
reset_zabbix_db.sh 9e59bd56c5 Add reset DB script преди 2 седмици
rotate_passwords.py f001814252 fix: docker build context and setup password rotation преди 1 седмица
setup_db.py d5eae6eb05 Disable foreign key checks during drop преди 2 седмици
setup_logins.exp c830b35313 TG-2: Automate DB setup and mysql_config_editor passwords for CI/CD преди 4 седмици
setup_mail_forwarding.sh ab7e3b1d3a TG-2: Restructure schema for all CSV columns, async ingestion, and mail forwarding преди 3 седмици
setup_postfix.sh 38a83a1bf0 Deployment Finalization: Vitamin schemas, Green UI, and Taiga tools преди 3 седмици
setup_searxng.sh ebfb102bc7 TG-20: Create setup_searxng.sh to install Docker and bind anonymous SearXNG to localhost:8080. преди 3 седмици
setup_sprint7_taiga.py e3f96b1f33 Sprint 7: Zabbix and SNMPv3 Monitoring Integration преди 2 седмици
setup_sprint8_taiga.py 69bad82b3b Add Sprint 8 Taiga script преди 2 седмици
setup_unix_user.sh 4655c26f1f Add untracked project files and configs преди 2 седмици
snmp_notifier.py c7eda9a94d Fix snmp_notifier to use snmptrap cli преди 2 седмици
start_batch_ingest.sh 00f1d63625 Fix python virtual env paths преди 3 седмици
sync_current_sprint.py 2a4f8d488f feat: Containerize components, configure Zabbix rules, sync Taiga преди 1 седмица
sync_taiga.py ef9531a80d TG-3: Update python sync script with correct username FrancoisLange преди 4 седмици
taiga_sync_fixer.py 4655c26f1f Add untracked project files and configs преди 2 седмици
taiga_sync_fixes.py 8cfa56c45a TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON преди 2 седмици
taiga_wiki_bookmarks.py 8cfa56c45a TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON преди 2 седмици
taiga_wiki_push.py 8cfa56c45a TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON преди 2 седмици
taiga_wiki_rename.py 8cfa56c45a TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON преди 2 седмици
test_login.py d7f6558318 Add test login преди 2 седмици
test_snmp.py 1d5ce8580c Add test SNMP script преди 2 седмици
unit_converter.py 620543f87d Implement full dynamic CSV schema ingestion and unit conversion module преди 2 седмици
wiki_links_test.py 8cfa56c45a TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON преди 2 седмици

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)