feat: Import dumps to SPARQL endpoint

README.md

@@ -20,6 +20,7 @@ A pipeline consists of one or more **stages**. Each stage has:
 - one or more **generators**, which generate triples about each URI using SPARQL CONSTRUCT queries.
 
 Stages can be chained together, with the output of one stage becoming the input of the next.
+The output of each stage combined becomes the final output of the pipeline.
 
 ### Design principles
 
@@ -133,18 +134,31 @@ To query large local files, you may need to load them into a SPARQL store first.
 for example Oxigraph:
 
 ```shell
-docker run --rm -v $PWD/data:/data -p 7878:7878 oxigraph/oxigraph --location /data serve
+docker run --rm -v $PWD/data:/data -p 7878:7878 oxigraph/oxigraph --location /data serve --bind 0.0.0.0:7878
 ```
 
-Then configure the store in your pipeline:
+Then configure the store in your pipeline, configuring at least one store under `stores`
+and using the `importTo` parameter to import the `endpoint`’s data to the store,
+referencing the store’s `queryUrl`:
 
 ```yaml
 # config.yml
 stores:
-  - queryUrl: "http://localhost:7878/query"
-    storeUrl: "http://localhost:7878/store"
+  - queryUrl: "http://localhost:7878/query" # SPARQL endpoint  for read queries.
+    storeUrl: "http://localhost:7878/store" # SPARQL Graph Store HTTP Protocol endpoint. 
+
+stages:
+  - name: ...
+    iterator:
+      query: ...
+      endpoint: file://../../../static/tests/iris.nt
+      importTo: http://localhost:7878/query
+    generator:
+      - query: ...
 ```
 
+The data is loaded into a named graph `<import:filename>`, so in this case `<import:iris.nt>`.
+
 #### Example configuration
 
 ```yaml

jest.config.js

@@ -11,8 +11,8 @@ export default {
   coverageReporters: ['json-summary', 'text'],
   coverageThreshold: {
     global: {
-      lines: 71.15,
-      statements: 71.25,
+      lines: 70.9,
+      statements: 71.01,
       branches: 66.66,
       functions: 76.59,
     },