chore: local push

Author: closedLoop

.env

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+
+# INFACTORY_API_KEY=
+INFACTORY_BASE_URL=https://i7y.dev/v1

.gitlab-ci.yml

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+"""
+Here are some examples of the ways to use the Infactory API.
+"""
+
+from infactory_client.client import InfactoryClient
+
+
+def create_api_for_user():  
+    nf = InfactoryClient()
+    nf.login() # This should open a browser window to login via Clerk and return with the JWT token
+    # optionally
+    nf.connect() # This should connect to the Infactory API using the API Key to generate the JWT token
+
+    # The account creation should also run to create a default organization, team, user and project and set it to the state of the client
+    state = nf.state
+    print(state)
+
+    # The state serve as the default parameters for all requests
+
+    nf.upload("data/test.csv") # This should upload the file to the default project and create a dataline
+    nf.explore(n=10) # This should generate 10 random questions and answers about the data - stored as query programs
+    nf.query_programs.publish(all=True, public=True) # This should publish all query programs publicly
+    print(nf.query_programs()) # This should list all query programs
+    print(nf.project.docs.endpoint()) # This should return the project docs endpoint
+    print(nf.project.docs.as_tools()) # Format the docs as tools to be used in a LLM chain
+
+def ask_questions_of_a_dataset():
+    nf = InfactoryClient()
+    nf.login()
+    # nf.connect()
+    # Assuming a default project and datasource and query programs have been created
+    # Select a query program from a list of query programs
+    query_program = nf.query_programs()[0]
+    print(query_program)
+
+    # Ask a question of the query program
+    answer = nf.ask(query_program)
+    print(answer)