Merge pull request #15 from gisce/circleci-project-setup

CircleCI Integration

.circleci/config.yml

@@ -0,0 +1,52 @@
+version: 2.1
+
+orbs:
+  python: circleci/python@0.2.1
+
+jobs:
+  test-template: &test-template
+  test-py37:
+    docker:
+      - image: circleci/python:3.7
+    executor: python/default
+    working_directory: ~/src
+    steps:
+      - checkout:
+          path: ~/src/mesures
+      - run:
+         command: |
+           export ROOT_DIR_SRC=~/src
+         name: Install requirements
+      - restore_cache:
+          keys:
+          - v1-dependencies-{{ checksum "~/src/mesures/requirements.txt"}}
+      - run:
+          command: |
+            cd ~/src/
+            virtualenv venv
+            . venv/bin/activate
+            cd mesures
+            pip install -r requirements.txt
+          name: Install dependencies
+      - save_cache:
+          paths:
+            - ~/src/venv
+          key: v1-dependencies-{{ checksum "~/src/mesures/requirements.txt"}}
+      - run:
+          command: |
+            cd ~/src/
+            . venv/bin/activate
+            cd mesures
+            mamba --enable-coverage
+            coverage report
+            coverage html
+          name: Test
+      - store_artifacts:
+          path: ~/src/mesures/htmlcov
+          destination: coverage
+          name: store_artifacts
+
+workflows:
+  main:
+    jobs:
+      - test-py37

requirements.txt

@@ -1 +1,3 @@
 pandas==0.23.4
+mamba<0.11.0
+expects

spec/generation_files/files_spec.py

@@ -0,0 +1,43 @@
+from mamba import description, context, it
+from expects import expect, equal
+from mesures.f1 import F1
+from mesures.p1 import P1
+from mesures.p1d import P1D
+from spec.sample_data import get_sample_data
+
+
+with description('An F1') as self:
+    with it('is instance of F1 Class'):
+        data = get_sample_data()
+        f = F1(data)
+        assert isinstance(f, F1)
+
+    with it('a zip of raw Files'):
+        data = get_sample_data()
+        f = F1(data)
+        res = f.writer()
+        import zipfile
+        assert zipfile.is_zipfile(res)
+
+    with it('has its class methods'):
+        data = get_sample_data()
+        f = F1(data)
+        res = f.writer()
+        import numpy as np
+        assert isinstance(f.total, (int, np.int64))
+        assert f.ai == f.total
+        assert isinstance(f.cups, list)
+        assert isinstance(f.number_of_cups, int)
+
+
+with description('An P1') as self:
+    with it('instance of P1 Class'):
+        data = get_sample_data()
+        f = P1(data)
+        assert isinstance(f, P1)
+
+with description('An P1D') as self:
+    with it('instance of P1D Class'):
+        data = get_sample_data()
+        f = P1D(data)
+        assert isinstance(f, P1D)