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.

lanfr144 60ebcedc79 fix AI meal count prompt and use FPDF2 table engine for PDF generation 1 ماه پیش
.agents 7d59646d57 TG-6: Finalize remaining files 2 ماه پیش
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 ماه پیش
alembic 0fd29e16de Reduce partition chunk size to 4 to bypass persistent row size error; include initial alembic migration 2 ماه پیش
docker 2a4f8d488f feat: Containerize components, configure Zabbix rules, sync Taiga 2 ماه پیش
docs 44fb10980d TG-85: finalize Scrum Sprint 10 with docs mirror and Git keyword expansion 2 ماه پیش
k8s 4655c26f1f Add untracked project files and configs 2 ماه پیش
legacy_scripts c812444386 Sprint 6: Complete documentation and code cleanup 2 ماه پیش
nginx 50d8206bd3 TG-85: finalize missing Nginx proxy and bookmarks scripts 2 ماه پیش
taiga_wiki e78a25bf3c TG-2: Populate Sprint 2 accomplishments in Taiga Wiki 2 ماه پیش
.dockerignore 05df9bef41 fix: remove GPU reservation, change MySQL port to avoid collision, add dockerignore 2 ماه پیش
.gitattributes 0cfdf52814 TG-85: enable export-subst for Format string git identification 2 ماه پیش
.gitignore 4655c26f1f Add untracked project files and configs 2 ماه پیش
Final_Presentation.html 1558f08eca Execute Implementation Plan 2 2 ماه پیش
PROJECT_CONTEXT.md e3f96b1f33 Sprint 7: Zabbix and SNMPv3 Monitoring Integration 2 ماه پیش
README.md c812444386 Sprint 6: Complete documentation and code cleanup 2 ماه پیش
alembic.ini 73f7a04cd0 Optimize horizontal partitioning to slice into 8-column chunks bypassing InnoDB limits 2 ماه پیش
app.py 60ebcedc79 fix AI meal count prompt and use FPDF2 table engine for PDF generation 1 ماه پیش
backup_db.sh 0cfdf52814 TG-85: enable export-subst for Format string git identification 2 ماه پیش
check_users.py 7766898050 Add check users script 2 ماه پیش
close_sprint10.py 5f5b698954 chore: add script to finalize and close Taiga Sprint 10 2 ماه پیش
configure_zabbix_dependencies.py 9506807c76 feat: add Zabbix dashboard creation script 2 ماه پیش
configure_zabbix_email.py 097b99bd50 fix: update Zabbix auth payload for v7.0 and add debug logs 2 ماه پیش
configure_zabbix_teams.py db8b1a54d3 feat: integrate Zabbix with Microsoft Teams webhook 2 ماه پیش
create_bookmarks_page.py 50d8206bd3 TG-85: finalize missing Nginx proxy and bookmarks scripts 2 ماه پیش
create_taiga_task.py 2a4f8d488f feat: Containerize components, configure Zabbix rules, sync Taiga 2 ماه پیش
create_zabbix_dashboard.py ba0c30a5c1 TG-86: finalize zabbix dashboard generation script 1 ماه پیش
data_sync.sh 214521fd62 TG-85: rewrite data_sync to auto-detach securely with nohup 2 ماه پیش
deploy.sh a54dc25344 TG-21: Update deploy.sh to include requests connectivity dependency. 2 ماه پیش
docker-compose.yml e05a5fed1f increase mysql healthcheck retries 1 ماه پیش
download_csv.sh 1a3cdcaf36 fix: resolve pip encoding issue and add exec permissions to download script 2 ماه پیش
generate_docs.py 44fb10980d TG-85: finalize Scrum Sprint 10 with docs mirror and Git keyword expansion 2 ماه پیش
generate_taiga_wiki.py e78a25bf3c TG-2: Populate Sprint 2 accomplishments in Taiga Wiki 2 ماه پیش
ingest_csv.py 84cb5bdc6b TG-85: pre-emptive DB cleaning via Upsert, Cascaded UI Plate Builder, scaled units 2 ماه پیش
init.sql 6cb128ca1c TG-86: EMERGENCY FIX schema exact columns and docker compose crash 1 ماه پیش
init_zabbix_db.sh 06df1fda4e Add Zabbix DB init script 2 ماه پیش
master_trigger.sh 38a83a1bf0 Deployment Finalization: Vitamin schemas, Green UI, and Taiga tools 2 ماه پیش
my.cnf 86c76e282d TG-1: Fix MySQL 8.0 startup crash by removing premature validate_password plugin config 2 ماه پیش
myloginpath.py 4655c26f1f Add untracked project files and configs 2 ماه پیش
proper_reset.sh 776d6a6153 Add proper reset 2 ماه پیش
requirements.txt bb2ac28c2e fix requirements.txt encoding for fpdf2 1 ماه پیش
reset_zabbix_db.sh 9e59bd56c5 Add reset DB script 2 ماه پیش
rotate_passwords.py 05df9bef41 fix: remove GPU reservation, change MySQL port to avoid collision, add dockerignore 2 ماه پیش
setup_mail_forwarding.sh ab7e3b1d3a TG-2: Restructure schema for all CSV columns, async ingestion, and mail forwarding 2 ماه پیش
setup_nginx_zabbix.py 9698cb2db2 feat: add Zabbix web scenario monitoring for Nginx proxy 2 ماه پیش
setup_postfix.sh 38a83a1bf0 Deployment Finalization: Vitamin schemas, Green UI, and Taiga tools 2 ماه پیش
setup_searxng.sh ebfb102bc7 TG-20: Create setup_searxng.sh to install Docker and bind anonymous SearXNG to localhost:8080. 2 ماه پیش
setup_sprint10_taiga.py 3fbfdf8004 chore: sync project management by creating Taiga Sprint 10 2 ماه پیش
setup_sprint7_taiga.py e3f96b1f33 Sprint 7: Zabbix and SNMPv3 Monitoring Integration 2 ماه پیش
setup_sprint8_taiga.py 69bad82b3b Add Sprint 8 Taiga script 2 ماه پیش
setup_unix_user.sh 4655c26f1f Add untracked project files and configs 2 ماه پیش
snmp_notifier.py 1b9e8b1fab fix: auto-create target tables and sanitize snmp notifications 2 ماه پیش
start_batch_ingest.sh 00f1d63625 Fix python virtual env paths 2 ماه پیش
sync_current_sprint.py 2a4f8d488f feat: Containerize components, configure Zabbix rules, sync Taiga 2 ماه پیش
sync_taiga.py ef9531a80d TG-3: Update python sync script with correct username FrancoisLange 2 ماه پیش
taiga_sync_fixer.py 4655c26f1f Add untracked project files and configs 2 ماه پیش
taiga_sync_fixes.py 8cfa56c45a TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 ماه پیش
taiga_wiki_bookmarks.py 8cfa56c45a TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 ماه پیش
taiga_wiki_may07.py 44fb10980d TG-85: finalize Scrum Sprint 10 with docs mirror and Git keyword expansion 2 ماه پیش
taiga_wiki_push.py 8cfa56c45a TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 ماه پیش
taiga_wiki_rename.py 8cfa56c45a TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 ماه پیش
test_login.py d7f6558318 Add test login 2 ماه پیش
test_snmp.py 1d5ce8580c Add test SNMP script 2 ماه پیش
unit_converter.py ea04a85037 TG-86: finalize system pre-initialization, auto-pull LLM, egg scales 1 ماه پیش
update_bookmarks.py e1d0132353 TG-85: Extreme performance tuning via Pre-fetch Context RAG and UI token streaming 2 ماه پیش
update_taiga_status.py 9fc389ea56 feat: complete email alerting config and Taiga closure 2 ماه پیش
wiki_links_test.py 8cfa56c45a TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 ماه پیش
zabbix_telemetry.py 7ca6cd88d5 TG-86: decouple telemetry script from streamlit app 1 ماه پیش

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)