create AWS Neptune graph from raw csv - amazon-neptune

Question

I saw a lot of tutorials about how to load csv (Gremlin) data in the format of vertices and edges into AWS Neptune. For a lot of reasons, I cannot create vertices and edges for data loading. Instead I have just the raw csv file where each row is a record (e.g. a person).
How can I create nodes and relationships from each row of record from the raw csv in Neptune from the notebook interface?

Answer 1

Given you mentioned wanting to do this in the notebooks, the examples below are all run from inside a Jupyter notebook. I don't have the data sets you mentioned to hand, so let's make a simple one in a Notebook cell using.
%%bash
echo "code,city,region
AUS,Austin,US-TX
JFK,New York,US-NY" > test.csv
We can then generate the openCypher CREATE steps for the nodes contained in that CSV file using a simple cell such as:
import csv
with open('test.csv', newline='') as csvfile:
reader = csv.DictReader(csvfile, escapechar="\\")
query = ""
for row in reader:
s = "CREATE (:Airport {"
for k in row:
s += f'{k}:"{row[k]}", '
s = s[:-2] + '})\n'
query += s
print(query)
Which yields
CREATE (:Airport {code:"AUS", city:"Austin", region:"US-TX"})
CREATE (:Airport {code:"JFK", city:"New York", region:"US-NY"})
Finally let's have the notebook oc cell magic run that query for us
ipython = get_ipython()
magic = ipython.run_cell_magic
magic(magic_name = "oc", line='', cell=query)
To verify that the query worked
%%oc
MATCH (a:Airport)
RETURN a.code, a.city
which returns:
a.code a.city
1 AUS Austin
2 JFK New York
There are many ways you could do this, but this is a simple way if you want to stay inside the notebooks. Given your question does not have a lot of detail or an example of what you have tried so far, hopefully this gives you some pointers.