Add -y to setup_ubuntu_instance.sh commands and update EC2_README

evals/EC2_README.md

@@ -1,3 +1,5 @@
+## Creating the EC2 Instance
+
 Create an EC2 Instance with the 
 
 `Ubuntu Image`
@@ -12,23 +14,51 @@ DON'T FORGET TO ADD
 
 Or the evaluation run will run out of space
 
---------------------------------------------------------
+Add a key pair login where you have access to the corresponding key file (*.pem)
 
-Then ssh into the instance, run
+## Accessing your instance and setup
 
-source evals/cloud/setup_ubuntu_instance.sh
+To ssh into the instance, you have to save your key pair file (*.pem) to an appropriate location, such as ~/.aws. After launching the instance, you can access the Instance Summary, and retrieve "Public IPv4 DNS" address. Then run
+
+`ssh -i PATH_TO_KEY ubuntu@IPv4ADDRESS`
+
+to gain command line access to the instance.
+
+To copy your current state of cognee, go to the folder that contains "cognee" on your local machine, zip it to cognee.zip and run:
+
+`zip -r cognee.zip cognee`
+`scp -i PATH_TO_KEY cognee.zip ubuntu@IPv4ADDRESS:cognee.zip`
+
+And unzip cognee.zip in your SSH session:
+
+`sudo apt install unzip`
+`unzip cognee.zip`
+
+Then run:
+`cd cognee`
+`source evals/cloud/setup_ubuntu_instance.sh`
 
 sudo usermod -aG docker $USER
 
 disconnect, and reconnect. 
 
+Confirm that `ubuntu` has been added to the docker user group with
+
+`groups | grep docker`
+
+## Running SWE-bench
+
 Then enter a `screen` and activate the virtual env
 
-screen
-source venv/bin/activate
+`screen`
+`source venv/bin/activate`
 
 then, from cognee, you can run swe_bench:
 
-python evals/eval_swe_bench --cognee_off --max_workers=N_CPUS
+`cd cognee`
 
-Building the environment images takes roughly 17 minutes
+`python evals/eval_swe_bench.py --cognee_off --max_workers=N_CPUS`
+
+Building the environment images should take roughly 17 minutes
+
+If the virtual env wasn't set up correctly for some reason, just run the last few lines of `setup_ubuntu_instance.sh` manually

evals/cloud/setup_ubuntu_instance.sh

@@ -1,43 +1,33 @@
-
-sudo apt-get update
-sudo apt-get install ca-certificates curl
+sudo apt-get update -y
+sudo apt-get install -y ca-certificates curl
 sudo install -m 0755 -d /etc/apt/keyrings
 sudo curl -fsSL https://download.docker.com/linux/ubuntu/gpg -o /etc/apt/keyrings/docker.asc
 sudo chmod a+r /etc/apt/keyrings/docker.asc
 
 # Add the repository to Apt sources:
 echo \
-  "deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.asc] https://download.docker.com/linux/ubuntu \
-  $(. /etc/os-release && echo "$VERSION_CODENAME") stable" | \
-  sudo tee /etc/apt/sources.list.d/docker.list > /dev/null
-sudo apt-get update
+"deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.asc] https://download.docker.com/linux/ubuntu \
+ $(. /etc/os-release && echo "$VERSION_CODENAME") stable" | \
+sudo tee /etc/apt/sources.list.d/docker.list > /dev/null
+sudo apt-get update -y
 
-sudo apt-get install docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin
+sudo apt-get install -y docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin
 
 sudo docker run hello-world
 
-sudo apt install unzip
+sudo apt install -y unzip
 
-sudo apt-get install python3-virtualenv
+sudo apt-get install -y python3-virtualenv
 
-sudo add-apt-repository ppa:deadsnakes/ppa
-sudo apt update
+sudo add-apt-repository -y ppa:deadsnakes/ppa
 
-sudo apt install python3.11
+sudo apt update -y
+
+sudo apt install -y python3.11
 
 virtualenv venv --python=python3.11
 
 source venv/bin/activate
-
 pip install poetry
-
 poetry install
-
-pip install swebench transformers sentencepiece
-
-groups | grep docker
-
-python evals/eval_swe_bench.py --cognee_off
-
-sudo usermod -aG docker $USER
-
+pip install swebench transformers sentencepiece datasets tiktoken protobuf