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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.

Дерево: 84cb5bdc6b
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LocalFoodAI_lan...
lanfr144 84cb5bdc6b TG-85: pre-emptive DB cleaning via Upsert, Cascaded UI Plate Builder, scaled units 1 тиждень тому
.agents 7d59646d57 TG-6: Finalize remaining files 1 місяць тому
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 тижнів тому
alembic 0fd29e16de Reduce partition chunk size to 4 to bypass persistent row size error; include initial alembic migration 3 тижнів тому
docker 2a4f8d488f feat: Containerize components, configure Zabbix rules, sync Taiga 1 тиждень тому
docs 44fb10980d TG-85: finalize Scrum Sprint 10 with docs mirror and Git keyword expansion 1 тиждень тому
k8s 4655c26f1f Add untracked project files and configs 2 тижнів тому
legacy_scripts c812444386 Sprint 6: Complete documentation and code cleanup 2 тижнів тому
taiga_wiki e78a25bf3c TG-2: Populate Sprint 2 accomplishments in Taiga Wiki 4 тижнів тому
.dockerignore 05df9bef41 fix: remove GPU reservation, change MySQL port to avoid collision, add dockerignore 1 тиждень тому
.gitattributes 0cfdf52814 TG-85: enable export-subst for Format string git identification 1 тиждень тому
.gitignore 4655c26f1f Add untracked project files and configs 2 тижнів тому
Final_Presentation.html 1558f08eca Execute Implementation Plan 2 3 тижнів тому
PROJECT_CONTEXT.md e3f96b1f33 Sprint 7: Zabbix and SNMPv3 Monitoring Integration 2 тижнів тому
README.md c812444386 Sprint 6: Complete documentation and code cleanup 2 тижнів тому
alembic.ini 73f7a04cd0 Optimize horizontal partitioning to slice into 8-column chunks bypassing InnoDB limits 3 тижнів тому
app.py 84cb5bdc6b TG-85: pre-emptive DB cleaning via Upsert, Cascaded UI Plate Builder, scaled units 1 тиждень тому
backup_db.sh 0cfdf52814 TG-85: enable export-subst for Format string git identification 1 тиждень тому
check_users.py 7766898050 Add check users script 2 тижнів тому
close_sprint10.py 5f5b698954 chore: add script to finalize and close Taiga Sprint 10 1 тиждень тому
configure_zabbix_dependencies.py 9506807c76 feat: add Zabbix dashboard creation script 1 тиждень тому
configure_zabbix_email.py 097b99bd50 fix: update Zabbix auth payload for v7.0 and add debug logs 1 тиждень тому
configure_zabbix_teams.py db8b1a54d3 feat: integrate Zabbix with Microsoft Teams webhook 1 тиждень тому
create_taiga_task.py 2a4f8d488f feat: Containerize components, configure Zabbix rules, sync Taiga 1 тиждень тому
create_zabbix_dashboard.py 097b99bd50 fix: update Zabbix auth payload for v7.0 and add debug logs 1 тиждень тому
data_sync.sh 0cfdf52814 TG-85: enable export-subst for Format string git identification 1 тиждень тому
deploy.sh a54dc25344 TG-21: Update deploy.sh to include requests connectivity dependency. 3 тижнів тому
docker-compose.yml ca99780187 fix: inject app auth credentials into app container to resolve privilege error 1 тиждень тому
download_csv.sh 1a3cdcaf36 fix: resolve pip encoding issue and add exec permissions to download script 1 тиждень тому
generate_docs.py 44fb10980d TG-85: finalize Scrum Sprint 10 with docs mirror and Git keyword expansion 1 тиждень тому
generate_taiga_wiki.py e78a25bf3c TG-2: Populate Sprint 2 accomplishments in Taiga Wiki 4 тижнів тому
ingest_csv.py 84cb5bdc6b TG-85: pre-emptive DB cleaning via Upsert, Cascaded UI Plate Builder, scaled units 1 тиждень тому
init.sql f85d03be09 fix: add missing plates tables and partitioned products permissions 1 тиждень тому
init_zabbix_db.sh 06df1fda4e Add Zabbix DB init script 2 тижнів тому
master_trigger.sh 38a83a1bf0 Deployment Finalization: Vitamin schemas, Green UI, and Taiga tools 3 тижнів тому
my.cnf 86c76e282d TG-1: Fix MySQL 8.0 startup crash by removing premature validate_password plugin config 4 тижнів тому
myloginpath.py 4655c26f1f Add untracked project files and configs 2 тижнів тому
proper_reset.sh 776d6a6153 Add proper reset 2 тижнів тому
requirements.txt d45e46c44d fix: add missing sqlalchemy and requests dependencies 1 тиждень тому
reset_zabbix_db.sh 9e59bd56c5 Add reset DB script 2 тижнів тому
rotate_passwords.py 05df9bef41 fix: remove GPU reservation, change MySQL port to avoid collision, add dockerignore 1 тиждень тому
setup_mail_forwarding.sh ab7e3b1d3a TG-2: Restructure schema for all CSV columns, async ingestion, and mail forwarding 3 тижнів тому
setup_nginx_zabbix.py 9698cb2db2 feat: add Zabbix web scenario monitoring for Nginx proxy 1 тиждень тому
setup_postfix.sh 38a83a1bf0 Deployment Finalization: Vitamin schemas, Green UI, and Taiga tools 3 тижнів тому
setup_searxng.sh ebfb102bc7 TG-20: Create setup_searxng.sh to install Docker and bind anonymous SearXNG to localhost:8080. 3 тижнів тому
setup_sprint10_taiga.py 3fbfdf8004 chore: sync project management by creating Taiga Sprint 10 1 тиждень тому
setup_sprint7_taiga.py e3f96b1f33 Sprint 7: Zabbix and SNMPv3 Monitoring Integration 2 тижнів тому
setup_sprint8_taiga.py 69bad82b3b Add Sprint 8 Taiga script 2 тижнів тому
setup_unix_user.sh 4655c26f1f Add untracked project files and configs 2 тижнів тому
snmp_notifier.py 1b9e8b1fab fix: auto-create target tables and sanitize snmp notifications 1 тиждень тому
start_batch_ingest.sh 00f1d63625 Fix python virtual env paths 3 тижнів тому
sync_current_sprint.py 2a4f8d488f feat: Containerize components, configure Zabbix rules, sync Taiga 1 тиждень тому
sync_taiga.py ef9531a80d TG-3: Update python sync script with correct username FrancoisLange 4 тижнів тому
taiga_sync_fixer.py 4655c26f1f Add untracked project files and configs 2 тижнів тому
taiga_sync_fixes.py 8cfa56c45a TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 тижнів тому
taiga_wiki_bookmarks.py 8cfa56c45a TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 тижнів тому
taiga_wiki_may07.py 44fb10980d TG-85: finalize Scrum Sprint 10 with docs mirror and Git keyword expansion 1 тиждень тому
taiga_wiki_push.py 8cfa56c45a TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 тижнів тому
taiga_wiki_rename.py 8cfa56c45a TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 тижнів тому
test_login.py d7f6558318 Add test login 2 тижнів тому
test_snmp.py 1d5ce8580c Add test SNMP script 2 тижнів тому
unit_converter.py 84cb5bdc6b TG-85: pre-emptive DB cleaning via Upsert, Cascaded UI Plate Builder, scaled units 1 тиждень тому
update_bookmarks.py e1d0132353 TG-85: Extreme performance tuning via Pre-fetch Context RAG and UI token streaming 1 тиждень тому
update_taiga_status.py 9fc389ea56 feat: complete email alerting config and Taiga closure 1 тиждень тому
wiki_links_test.py 8cfa56c45a TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON 2 тижнів тому

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)