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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: 6bcaa6f2ef
Клонове Маркери
LocalFoodAI_lan...
lanfr144 6bcaa6f2ef TG-86: implement AI dietary enforcement rules and zabbix telemetry преди 2 месеца
.agents 7d59646d57 TG-6: Finalize remaining files преди 2 месеца
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. преди 2 месеца
alembic b0692b7ed4 Reduce partition chunk size to 4 to bypass persistent row size error; include initial alembic migration преди 2 месеца
docker 52bda7df37 feat: Containerize components, configure Zabbix rules, sync Taiga преди 2 месеца
docs 366c69e754 TG-85: finalize Scrum Sprint 10 with docs mirror and Git keyword expansion преди 2 месеца
k8s 4112b60d71 Add untracked project files and configs преди 2 месеца
legacy_scripts d53e2000e6 Sprint 6: Complete documentation and code cleanup преди 2 месеца
nginx de8cac0c9c TG-85: finalize missing Nginx proxy and bookmarks scripts преди 2 месеца
taiga_wiki e78a25bf3c TG-2: Populate Sprint 2 accomplishments in Taiga Wiki преди 2 месеца
.dockerignore d97797349f fix: remove GPU reservation, change MySQL port to avoid collision, add dockerignore преди 2 месеца
.gitattributes c27dd6f411 TG-85: enable export-subst for Format string git identification преди 2 месеца
.gitignore 4112b60d71 Add untracked project files and configs преди 2 месеца
Final_Presentation.html a2d859e15b Execute Implementation Plan 2 преди 2 месеца
PROJECT_CONTEXT.md 342ad4bd92 Sprint 7: Zabbix and SNMPv3 Monitoring Integration преди 2 месеца
README.md d53e2000e6 Sprint 6: Complete documentation and code cleanup преди 2 месеца
alembic.ini 79e1835d2c Optimize horizontal partitioning to slice into 8-column chunks bypassing InnoDB limits преди 2 месеца
app.py 6bcaa6f2ef TG-86: implement AI dietary enforcement rules and zabbix telemetry преди 2 месеца
backup_db.sh c27dd6f411 TG-85: enable export-subst for Format string git identification преди 2 месеца
check_users.py ab6577f344 Add check users script преди 2 месеца
close_sprint10.py 75eebe0468 chore: add script to finalize and close Taiga Sprint 10 преди 2 месеца
configure_zabbix_dependencies.py f52c4027cb feat: add Zabbix dashboard creation script преди 2 месеца
configure_zabbix_email.py 4950ef8f41 fix: update Zabbix auth payload for v7.0 and add debug logs преди 2 месеца
configure_zabbix_teams.py 9ded46ea37 feat: integrate Zabbix with Microsoft Teams webhook преди 2 месеца
create_bookmarks_page.py de8cac0c9c TG-85: finalize missing Nginx proxy and bookmarks scripts преди 2 месеца
create_taiga_task.py 52bda7df37 feat: Containerize components, configure Zabbix rules, sync Taiga преди 2 месеца
create_zabbix_dashboard.py 4950ef8f41 fix: update Zabbix auth payload for v7.0 and add debug logs преди 2 месеца
data_sync.sh 74c8546260 TG-85: rewrite data_sync to auto-detach securely with nohup преди 2 месеца
deploy.sh 942215fc72 TG-21: Update deploy.sh to include requests connectivity dependency. преди 2 месеца
docker-compose.yml 923cbf260c TG-86: EMERGENCY FIX schema exact columns and docker compose crash преди 2 месеца
download_csv.sh 6554145d0d fix: resolve pip encoding issue and add exec permissions to download script преди 2 месеца
generate_docs.py 366c69e754 TG-85: finalize Scrum Sprint 10 with docs mirror and Git keyword expansion преди 2 месеца
generate_taiga_wiki.py e78a25bf3c TG-2: Populate Sprint 2 accomplishments in Taiga Wiki преди 2 месеца
ingest_csv.py e81736c3ec TG-85: pre-emptive DB cleaning via Upsert, Cascaded UI Plate Builder, scaled units преди 2 месеца
init.sql 923cbf260c TG-86: EMERGENCY FIX schema exact columns and docker compose crash преди 2 месеца
init_zabbix_db.sh b3927a920c Add Zabbix DB init script преди 2 месеца
master_trigger.sh d1c44bc989 Deployment Finalization: Vitamin schemas, Green UI, and Taiga tools преди 2 месеца
my.cnf 86c76e282d TG-1: Fix MySQL 8.0 startup crash by removing premature validate_password plugin config преди 2 месеца
myloginpath.py 4112b60d71 Add untracked project files and configs преди 2 месеца
proper_reset.sh 8ebd71c7b1 Add proper reset преди 2 месеца
requirements.txt c9e5bd94a2 fix: add missing sqlalchemy and requests dependencies преди 2 месеца
reset_zabbix_db.sh 893ad9e858 Add reset DB script преди 2 месеца
rotate_passwords.py d97797349f fix: remove GPU reservation, change MySQL port to avoid collision, add dockerignore преди 2 месеца
setup_mail_forwarding.sh ab7e3b1d3a TG-2: Restructure schema for all CSV columns, async ingestion, and mail forwarding преди 2 месеца
setup_nginx_zabbix.py e8f2e428b6 feat: add Zabbix web scenario monitoring for Nginx proxy преди 2 месеца
setup_postfix.sh d1c44bc989 Deployment Finalization: Vitamin schemas, Green UI, and Taiga tools преди 2 месеца
setup_searxng.sh 2d7307f7e4 TG-20: Create setup_searxng.sh to install Docker and bind anonymous SearXNG to localhost:8080. преди 2 месеца
setup_sprint10_taiga.py b1cd5dac1d chore: sync project management by creating Taiga Sprint 10 преди 2 месеца
setup_sprint7_taiga.py 342ad4bd92 Sprint 7: Zabbix and SNMPv3 Monitoring Integration преди 2 месеца
setup_sprint8_taiga.py 3740dd8aad Add Sprint 8 Taiga script преди 2 месеца
setup_unix_user.sh 4112b60d71 Add untracked project files and configs преди 2 месеца
snmp_notifier.py 92fca88db4 fix: auto-create target tables and sanitize snmp notifications преди 2 месеца
start_batch_ingest.sh 433d123181 Fix python virtual env paths преди 2 месеца
sync_current_sprint.py 52bda7df37 feat: Containerize components, configure Zabbix rules, sync Taiga преди 2 месеца
sync_taiga.py ef9531a80d TG-3: Update python sync script with correct username FrancoisLange преди 2 месеца
taiga_sync_fixer.py 4112b60d71 Add untracked project files and configs преди 2 месеца
taiga_sync_fixes.py b634075a3c TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON преди 2 месеца
taiga_wiki_bookmarks.py b634075a3c TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON преди 2 месеца
taiga_wiki_may07.py 366c69e754 TG-85: finalize Scrum Sprint 10 with docs mirror and Git keyword expansion преди 2 месеца
taiga_wiki_push.py b634075a3c TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON преди 2 месеца
taiga_wiki_rename.py b634075a3c TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON преди 2 месеца
test_login.py 79789322c5 Add test login преди 2 месеца
test_snmp.py e48e7303c4 Add test SNMP script преди 2 месеца
unit_converter.py 6831915b67 TG-86: finalize system pre-initialization, auto-pull LLM, egg scales преди 2 месеца
update_bookmarks.py 91b63d7f90 TG-85: Extreme performance tuning via Pre-fetch Context RAG and UI token streaming преди 2 месеца
update_taiga_status.py 1cbdd147d8 feat: complete email alerting config and Taiga closure преди 2 месеца
wiki_links_test.py b634075a3c TG-154: Phase 3 Overhaul - Fix pandas limit, Plate Builder, Chat, Meal Planner JSON преди 2 месеца

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)