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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: e05a5fed1f
Atzari Tagi
LocalFoodAI_lan...
lanfr144 e05a5fed1f increase mysql healthcheck retries 4 dienas atpakaļ
.agents 7d59646d57 TG-6: Finalize remaining files 4 nedēļas atpakaļ
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. 3 nedēļas atpakaļ
alembic 0fd29e16de Reduce partition chunk size to 4 to bypass persistent row size error; include initial alembic migration 3 nedēļas atpakaļ
docker 2a4f8d488f feat: Containerize components, configure Zabbix rules, sync Taiga 1 nedēļu atpakaļ
docs 44fb10980d TG-85: finalize Scrum Sprint 10 with docs mirror and Git keyword expansion 1 nedēļu atpakaļ
k8s 4655c26f1f Add untracked project files and configs 2 nedēļas atpakaļ
legacy_scripts c812444386 Sprint 6: Complete documentation and code cleanup 2 nedēļas atpakaļ
nginx 50d8206bd3 TG-85: finalize missing Nginx proxy and bookmarks scripts 1 nedēļu atpakaļ
taiga_wiki e78a25bf3c TG-2: Populate Sprint 2 accomplishments in Taiga Wiki 4 nedēļas atpakaļ
.dockerignore 05df9bef41 fix: remove GPU reservation, change MySQL port to avoid collision, add dockerignore 1 nedēļu atpakaļ
.gitattributes 0cfdf52814 TG-85: enable export-subst for Format string git identification 1 nedēļu atpakaļ
.gitignore 4655c26f1f Add untracked project files and configs 2 nedēļas atpakaļ
Final_Presentation.html 1558f08eca Execute Implementation Plan 2 3 nedēļas atpakaļ
PROJECT_CONTEXT.md e3f96b1f33 Sprint 7: Zabbix and SNMPv3 Monitoring Integration 2 nedēļas atpakaļ
README.md c812444386 Sprint 6: Complete documentation and code cleanup 2 nedēļas atpakaļ
alembic.ini 73f7a04cd0 Optimize horizontal partitioning to slice into 8-column chunks bypassing InnoDB limits 3 nedēļas atpakaļ
app.py bf72dab527 fix streamlit nested button state bug for clinical AI eval 4 dienas atpakaļ
backup_db.sh 0cfdf52814 TG-85: enable export-subst for Format string git identification 1 nedēļu atpakaļ
check_users.py 7766898050 Add check users script 2 nedēļas atpakaļ
close_sprint10.py 5f5b698954 chore: add script to finalize and close Taiga Sprint 10 1 nedēļu atpakaļ
configure_zabbix_dependencies.py 9506807c76 feat: add Zabbix dashboard creation script 1 nedēļu atpakaļ
configure_zabbix_email.py 097b99bd50 fix: update Zabbix auth payload for v7.0 and add debug logs 1 nedēļu atpakaļ
configure_zabbix_teams.py db8b1a54d3 feat: integrate Zabbix with Microsoft Teams webhook 1 nedēļu atpakaļ
create_bookmarks_page.py 50d8206bd3 TG-85: finalize missing Nginx proxy and bookmarks scripts 1 nedēļu atpakaļ
create_taiga_task.py 2a4f8d488f feat: Containerize components, configure Zabbix rules, sync Taiga 1 nedēļu atpakaļ
create_zabbix_dashboard.py ba0c30a5c1 TG-86: finalize zabbix dashboard generation script 4 dienas atpakaļ
data_sync.sh 214521fd62 TG-85: rewrite data_sync to auto-detach securely with nohup 1 nedēļu atpakaļ
deploy.sh a54dc25344 TG-21: Update deploy.sh to include requests connectivity dependency. 3 nedēļas atpakaļ
docker-compose.yml e05a5fed1f increase mysql healthcheck retries 4 dienas atpakaļ
download_csv.sh 1a3cdcaf36 fix: resolve pip encoding issue and add exec permissions to download script 1 nedēļu atpakaļ
generate_docs.py 44fb10980d TG-85: finalize Scrum Sprint 10 with docs mirror and Git keyword expansion 1 nedēļu atpakaļ
generate_taiga_wiki.py e78a25bf3c TG-2: Populate Sprint 2 accomplishments in Taiga Wiki 4 nedēļas atpakaļ
ingest_csv.py 84cb5bdc6b TG-85: pre-emptive DB cleaning via Upsert, Cascaded UI Plate Builder, scaled units 1 nedēļu atpakaļ
init.sql 6cb128ca1c TG-86: EMERGENCY FIX schema exact columns and docker compose crash 1 nedēļu atpakaļ
init_zabbix_db.sh 06df1fda4e Add Zabbix DB init script 2 nedēļas atpakaļ
master_trigger.sh 38a83a1bf0 Deployment Finalization: Vitamin schemas, Green UI, and Taiga tools 3 nedēļas atpakaļ
my.cnf 86c76e282d TG-1: Fix MySQL 8.0 startup crash by removing premature validate_password plugin config 4 nedēļas atpakaļ
myloginpath.py 4655c26f1f Add untracked project files and configs 2 nedēļas atpakaļ
proper_reset.sh 776d6a6153 Add proper reset 2 nedēļas atpakaļ
requirements.txt bb2ac28c2e fix requirements.txt encoding for fpdf2 4 dienas atpakaļ
reset_zabbix_db.sh 9e59bd56c5 Add reset DB script 2 nedēļas atpakaļ
rotate_passwords.py 05df9bef41 fix: remove GPU reservation, change MySQL port to avoid collision, add dockerignore 1 nedēļu atpakaļ
setup_mail_forwarding.sh ab7e3b1d3a TG-2: Restructure schema for all CSV columns, async ingestion, and mail forwarding 3 nedēļas atpakaļ
setup_nginx_zabbix.py 9698cb2db2 feat: add Zabbix web scenario monitoring for Nginx proxy 1 nedēļu atpakaļ
setup_postfix.sh 38a83a1bf0 Deployment Finalization: Vitamin schemas, Green UI, and Taiga tools 3 nedēļas atpakaļ
setup_searxng.sh ebfb102bc7 TG-20: Create setup_searxng.sh to install Docker and bind anonymous SearXNG to localhost:8080. 3 nedēļas atpakaļ
setup_sprint10_taiga.py 3fbfdf8004 chore: sync project management by creating Taiga Sprint 10 1 nedēļu atpakaļ
setup_sprint7_taiga.py e3f96b1f33 Sprint 7: Zabbix and SNMPv3 Monitoring Integration 2 nedēļas atpakaļ
setup_sprint8_taiga.py 69bad82b3b Add Sprint 8 Taiga script 2 nedēļas atpakaļ
setup_unix_user.sh 4655c26f1f Add untracked project files and configs 2 nedēļas atpakaļ
snmp_notifier.py 1b9e8b1fab fix: auto-create target tables and sanitize snmp notifications 1 nedēļu atpakaļ
start_batch_ingest.sh 00f1d63625 Fix python virtual env paths 3 nedēļas atpakaļ
sync_current_sprint.py 2a4f8d488f feat: Containerize components, configure Zabbix rules, sync Taiga 1 nedēļu atpakaļ
sync_taiga.py ef9531a80d TG-3: Update python sync script with correct username FrancoisLange 4 nedēļas atpakaļ
taiga_sync_fixer.py 4655c26f1f Add untracked project files and configs 2 nedēļas atpakaļ
taiga_sync_fixes.py 8cfa56c45a TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 nedēļas atpakaļ
taiga_wiki_bookmarks.py 8cfa56c45a TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 nedēļas atpakaļ
taiga_wiki_may07.py 44fb10980d TG-85: finalize Scrum Sprint 10 with docs mirror and Git keyword expansion 1 nedēļu atpakaļ
taiga_wiki_push.py 8cfa56c45a TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 nedēļas atpakaļ
taiga_wiki_rename.py 8cfa56c45a TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 nedēļas atpakaļ
test_login.py d7f6558318 Add test login 2 nedēļas atpakaļ
test_snmp.py 1d5ce8580c Add test SNMP script 2 nedēļas atpakaļ
unit_converter.py ea04a85037 TG-86: finalize system pre-initialization, auto-pull LLM, egg scales 1 nedēļu atpakaļ
update_bookmarks.py e1d0132353 TG-85: Extreme performance tuning via Pre-fetch Context RAG and UI token streaming 1 nedēļu atpakaļ
update_taiga_status.py 9fc389ea56 feat: complete email alerting config and Taiga closure 1 nedēļu atpakaļ
wiki_links_test.py 8cfa56c45a TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 nedēļas atpakaļ
zabbix_telemetry.py 7ca6cd88d5 TG-86: decouple telemetry script from streamlit app 1 nedēļu 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)