update to conode

.gitignore

@@ -1,2 +1,3 @@
 target
 Cargo.lock*
+__pycache__

README.md

@@ -1,11 +1,11 @@
-# Edge Python API
-API to connect to dRISK Edge.
+# Conode Python API
+API to connect to Conode.
 
-### Useful Edge Links
-Some useful links for new edge users:
+### Useful Links
+Some useful links for new Conode users:
 
-- Log in to edge: [demo.drisk.ai](https://demo.drisk.ai/)
-- Documentation: [demo.drisk.ai/docs](https://demo.drisk.ai/docs/)
+- [Log in to Conode](https://app.drisk.ai/)
+- [Documentation](https://app.drisk.ai/docs/)
 
 
 
@@ -16,15 +16,15 @@ pip install drisk_api
 
 ## Basic Usage
 
-The API supports the basic building blocs for Create/Read/Update/Delete operations on the graph. For example:
+The API supports the basic building blocks for Create/Read/Update/Delete operations on the graph. For example:
 
 
 ```python
 from drisk_api import GraphClient
 
-token = "<edge_auth_token>"
+token = "<conode_auth_token>"
 
-# create or conntect to a graph
+# create or connect to a graph
 new_graph = GraphClient.create_graph("a graph", token)
 graph = GraphClient("graph_id", token)
 
@@ -43,7 +43,7 @@ graph.update_node(node_id, label="new label", size=3)
 # add edges in batch
 other_id = graph.create_node(label="another node")
 with graph.batch():
-    graph.create_edge(node_id, other, weight=5.)
+    graph.create_edge(node_id, other_id, weight=5.)
 
 ```
 
@@ -52,16 +52,16 @@ with graph.batch():
 We can use these building blocks to create whatever graphs we are most interested in. Below are some examples:
 
 
-### Wikepedia Crawler
+### Wikipedia Crawler
 
-In this example we will scrape the main url links for a given wikipedia page and create a graph out of it.
+In this example we will scrape the main url links for a given wikipedia page and create a graph.
 
 
 Most of the code will be leveraging the [wikipedia api](https://pypi.org/project/wikipedia/) and is not particularly important.
-What is more interesting is how we can use the `api` to convert the corresponding information into a graph to then explore it in edge.
+What is more interesting is how we can use the `api` to convert the corresponding information into a graph to then explore it in Conode.
 
 
-First load the relevant module
+First load the relevant modules
 
 ```python
 import wikipedia
@@ -125,6 +125,8 @@ def wiki_scraper(
     if page_name in visited_pages or current_depth >= max_depth:
         return
 
+    visited_pages.add(page_name)
+
     links = top_links(page.links, page.content, first_depth_max_links if current_depth == 0 else max_links)
 
     if current_depth == 0:
@@ -152,20 +154,18 @@ def wiki_scraper(
             new_page_node,
             link,
             string_cache,
-            visted_pages,
+            visited_pages,
             current_depth=current_depth + 1,
             max_links=max_links,
             first_depth_max_links=first_depth_max_links,
         )
 
-    visited_pages.add(page_name)
-
 ```
 
 Then we can connect to our graph (or make one):
 
 ```python
-TOKEN = "<edge_auth_token>"
+TOKEN = "<conode_auth_token>"
 graph_id = "graph_id"
 home_view = "view_id"
 g = GraphClient(graph_id, TOKEN)
@@ -197,10 +197,8 @@ with g.batch():
 
 ```
 
-We can then head to edge to interact with the graph:
+We can then head to Conode to interact with the graph:
 
 <p align="center">
 <img src="https://github.com/driskai/drisk_api/blob/main/docs/images/Napoleon-graph.png" width="80%">
 </p>
-
-![](![](![](![]())))

pyproject.toml

@@ -8,7 +8,7 @@ module-name = "drisk_api"
 
 [project]
 name = "drisk_api"
-description = "drisk_api - API to connect to dRISK Edge."
+description = "drisk_api - API to connect to Conode."
 version = "0.0.9"
 requires-python = ">=3.8"
 classifiers = [
@@ -20,5 +20,5 @@ dependencies = ["requests"]
 
 [project.urls]
 "Homepage" = "https://github.com/driskai/drisk_api/tree/main"
-"Edge" = "https://demo.drisk.ai/"
-"Edge Docs" = "https://demo.drisk.ai/docs/"
+"Conode" = "https://app.drisk.ai/"
+"Conode Docs" = "https://app.drisk.ai/docs/"