Eat your own dog food. Use make for CI & update readme

.github/workflows/python-app.yml

@@ -19,12 +19,7 @@ jobs:
         python-version: '3.11'
     - name: Install dependencies
       run: |
-        python -m pip install --upgrade pip setuptools wheel
-        python -m pip install .
-        pip install git+https://github.com/rafelafrance/common_utils.git@main#egg=common_utils
-        pip install git+https://github.com/rafelafrance/spell-well.git@main#egg=spell-well
-        pip install git+https://github.com/rafelafrance/traiter.git@master#egg=traiter
-        python -m spacy download en_core_web_md
+        make install
     - name: Test with unittest
       run: |
-        export MOCK_DATA=1; python -m unittest discover
+        make test

Makefile

@@ -8,7 +8,7 @@ PIP_INSTALL=$(PYTHON) -m pip install
 SPACY_MODEL=$(PYTHON) -m spacy download en_core_web_md
 
 test:
-	$(PYTHON) -m unittest discover
+	export MOCK_DATA=1; $(PYTHON) -m unittest discover
 
 install: venv
 	source $(VENV)/bin/activate

README.md

@@ -14,6 +14,14 @@ And I also split some functionality out to enable me to use it in other projects
 - `LabelTraiter`: Parsing treatments (this repo) and herbarium labels are now separate repositories.
   - https://github.com/rafelafrance/LabelTraiter
 
+I should also mention that this repository builds upon other repositories:
+- `common_utils`: This is just a grab bag of simple utilities I used in several other project. I got tired of having to change every repository that used them each time there was an edit, so I just put them here.
+  - `https://github.com/rafelafrance/common_utils`
+- `spell-well`: Is a super simple "delete-only" spell checker I wrote. There may be better options now, but it survives until I can find one that handles our particular needs.
+  - `https://github.com/rafelafrance/spell-well`
+- `traiter`: This is the base code for all the rule-based parsers (aka traiters) that I write. The details change but the underlying process is the same for all.
+  - `https://github.com/rafelafrance/traiter`
+
 ## All right, what's this all about then?
 **Challenge**: Extract trait information from plant treatments. That is, if I'm given treatment text like: (Reformatted to emphasize targeted traits.)