Added timeseries classification example via Fedot.Industrial

.gitignore

@@ -194,4 +194,7 @@ chroma/
 # AutoMLAgent
 exec_out/
 _experiments/
-results/
+results/
+
+# Docker
+docker/docker_caches/

.pep8speaks.yml

@@ -0,0 +1,9 @@
+scanner:
+  diff_only: False # The entire file touched by the Pull Request is scanned for errors.
+  linter: pycodestyle
+
+pycodestyle:
+  max-line-length: 120 # Default is 79 in PEP 8
+  ignore: []
+
+no_blank_comment: False  # Every PR will have its own PEP 8 stats.

Makefile

@@ -0,0 +1,27 @@
+DC = docker compose
+EXEC = docker exec -it
+APP_FILE = docker/docker-compose.yml
+APP_CONTAINER = fdlm-app
+ENV = --env-file .env
+SH = /bin/bash
+
+.PHONY: build
+build:
+	${DC} ${ENV} -f ${APP_FILE} up -w --build
+
+.PHONY: up
+up:
+	${DC} ${ENV} -f ${APP_FILE} up -w
+
+.PHONY: down
+down:
+	${DC} -f ${APP_FILE} down
+
+.PHONY: appsh
+app-sh:
+	${EXEC} -it ${APP_CONTAINER} ${SH}
+app-py:
+	${EXEC} -it ${APP_CONTAINER} poetry shell
+
+streamlit-st:
+	python -m streamlit run libs/fedotllm/streamlit-app.py --server.port=8080 --server.address=0.0.0.0

README.md

@@ -4,6 +4,10 @@
   <img src="/docs/fedot-llm.png" width="600" title="Fedot.LLM logo">
 </p>
 
+[![Acknowledgement ITMO](https://raw.githubusercontent.com/aimclub/open-source-ops/43bb283758b43d75ec1df0a6bb4ae3eb20066323/badges/ITMO_badge.svg)](https://itmo.ru/)
+[![Acknowledgement NCCR](https://raw.githubusercontent.com/aimclub/open-source-ops/43bb283758b43d75ec1df0a6bb4ae3eb20066323/badges/NCCR_badge.svg)](https://actcognitive.org/)
+[![Mirror](https://img.shields.io/badge/mirror-GitLab-orange)](https://gitlab.actcognitive.org/itmo-nccr-code/fedot-llm)
+
 
 FEDOT.LLM is an LLM-based prototype for next-generation AutoML. It combines the power of Large Language Models with automated machine learning techniques to enhance data analysis and pipeline building processes.
 
@@ -94,4 +98,14 @@ If you want to contribute or set up a development environment, you can use the p
 
 This will set up a fully-featured development environment in a container, either in GitHub Codespaces or using VS Code's Dev Containers extension.
 
-For more information see [`.devcontainer/README.md`](.devcontainer/README.md).
+For more information see [`.devcontainer/README.md`](.devcontainer/README.md).
+
+Funding
+=======
+
+This research is financially supported by the Foundation for
+National Technology Initiative's Projects Support as a part of the roadmap
+implementation for the development of the high-tech field of
+Artificial Intelligence for the period up to 2030 (agreement 70-2021-00187)
+
+

docker/docker-compose.yml

@@ -1,11 +1,58 @@
-version: '3'
+name: fedotllm
 services:
-  jupyter-fedotllm:
+  app:
     build:
-      context: ../
-      dockerfile: docker/Dockerfile
+      context: ..
+      dockerfile: docker/run.Dockerfile
+    restart: always
+    container_name: fdlm-app
+    command: "tail -f /dev/null"
     ports:
-      - "8800:8888"
+      - "8080:8080"
+    env_file:
+      - ../.env
+    platform: linux/amd64
     volumes:
-      - ../:/home/fedya/work
-      - ../.cache/pip-docker:/home/fedya/.cache/pip
+      - ./docker_caches:/docker_caches
+    develop:
+      watch:
+        - action: sync
+          path: ../
+          target: /app
+          ignore:
+            - ../pyproject.toml
+            - ./
+        - action: rebuild
+          path: .
+          target: /app/docker
+          ignore:
+           - ./docker-compose.yml
+           - ./docker_caches
+           - ./dev.Dockerfile
+           - ./README.md
+        - action: rebuild
+          path: ../pyproject.toml
+    networks:
+      - fdlm-net
+    depends_on:
+      chromadb:
+        condition: service_started
+
+  chromadb:
+    image: chromadb/chroma
+    restart: always
+    container_name: fdlm-chroma
+    environment:
+      - IS_PERSISTENT=TRUE
+      - PERSIST_DIRECTORY="/docker_caches/chroma"
+      - ANONYMIZED_TELEMETRY=FALSE
+    volumes:
+      - ./docker_caches/chroma:/docker_caches/chroma
+    command: "--workers 1 --host 0.0.0.0 --port 8000 --proxy-headers --log-config chromadb/log_config.yml --timeout-keep-alive 30"
+    ports:
+      - 8000:8000
+    networks:
+      - fdlm-net
+
+networks:
+  fdlm-net:

docker/run.Dockerfile

@@ -0,0 +1,37 @@
+FROM python:3.10-slim AS builder
+
+RUN apt-get update && apt-get install \
+    --no-install-suggests \
+    --no-install-recommends \
+    -y \
+    build-essential \
+    curl \
+    python3-venv \
+    python3-pip \
+    && rm -rf /var/lib/apt/lists/*
+
+ENV PYTHONFAULTHANDLER=1 \
+    PYTHONUNBUFFERED=1 \
+    PYTHONHASHSEED=random \
+    PIP_NO_CACHE_DIR=off \
+    PIP_DISABLE_PIP_VERSION_CHECK=on \
+    PIP_DEFAULT_TIMEOUT=100 \
+    POETRY_NO_INTERACTION=1 \
+    POETRY_VIRTUALENVS_PATH=/app/venv\
+    POETRY_CACHE_DIR='/var/cache/pypoetry' \
+    POETRY_HOME='/usr/local' \
+    POETRY_VERSION=1.8.5
+
+WORKDIR /app
+
+RUN curl -sSL https://install.python-poetry.org | POETRY_VERSION=${POETRY_VERSION} python3 -
+
+COPY poetry.lock pyproject.toml /app/
+
+RUN poetry install --no-interaction --no-ansi
+
+RUN SNIPPET="export PROMPT_COMMAND='history -a' && export HISTFILE=/docker_caches/.bash_history" \
+    && echo "$SNIPPET" >> "/root/.bashrc"
+
+COPY . .
+

docker/.dockerignore → docker/run.Dockerfile.dockerignore

@@ -1,5 +1,4 @@
 # Python virtual environment
-../.venv
-../venv
-
-
+**/.env
+**/.venv
+**/venv