Return errors when found or None otherwise

This commit adds a number of functions that return the error object
when an error is found, or `None` otherwise. It avoids the use of
exceptions as control flow constructs.

2 files changed, 141 insertions, 2 deletions

diff --git a/tests/qc/test_cells.py b/tests/qc/test_cells.py
index d4ef911..46aeb64 100644
--- a/tests/qc/test_cells.py
+++ b/tests/qc/test_cells.py
@@ -1,12 +1,18 @@
 """Test that values in cells within a line fulfill the required criteria"""
 
 import pytest
+from random import randint
 from hypothesis import given
 from hypothesis import strategies as st
 
+from quality_control.errors import InvalidValue
 from quality_control.errors import InvalidCellValue
-from quality_control.average import valid_value as avg_valid_value
-from quality_control.standard_error import valid_value as se_valid_value
+from quality_control.average import (
+    valid_value as avg_valid_value,
+    invalid_value as avg_invalid_value)
+from quality_control.standard_error import (
+    valid_value as se_valid_value,
+    invalid_value as se_invalid_value)
 
 @given(num_str=st.from_regex(
     r"^(?!([0-9]+\.([0-9]{3}|[0-9]{6,}))).*", fullmatch=True))
@@ -51,3 +57,78 @@ def test_cell_standard_error_value_pass_if_six_or_more_decimal_places(num_str):
     assert (
         isinstance(processed, float) and
         processed == float(num_str))
+
+## ================================================================================
+
+@given(num_str=st.from_regex(
+    r"^(?!([0-9]+\.([0-9]{3}|[0-9]{6,}))).*", fullmatch=True))
+def test_cell_value_errors_with_invalid_inputs2(num_str):
+    """
+    GIVEN: `num_str` is an arbitrary string that is an invalid input,
+    WHEN: `num_str` is provided as an argument to `*_invalid_value` functions,
+    THEN: The `*_invalid_value` functions return a
+      `quality_control.errors.InvalidValue` object which holds the error
+      information.
+    """
+    assert avg_invalid_value(0, 0, num_str) == InvalidValue(
+        0, 0, num_str, (
+            f"Invalid value '{num_str}'. Expected string representing a number "
+            "with exactly three decimal places."))
+    assert se_invalid_value(0, 0, num_str) == InvalidValue(
+        0, 0, num_str, (
+            f"Invalid value '{num_str}'. Expected string representing a number "
+            "with at least six decimal places."))
+
+@given(num_str=st.from_regex(
+    r"^[0-9]+\.([0-9]{1,2}|[0-9]{4,}$)", fullmatch=True))
+def test_cell_average_value_errors_if_not_three_decimal_places2(num_str):
+    """
+    GIVEN: `num_str` is a string representing a number with less than or more
+      than three decimal places, e.g. 2.92, 39.483732
+    WHEN: `num_str` is provided as an argument to `avg_invalid_value` function,
+    THEN: `avg_invalid_value` returns a `quality_control.errors.InvalidValue`
+      object with the information about the placement of the invalid value.
+    """
+    line, col = randint(0, 100), randint(0, 20)
+    assert avg_invalid_value(line, col, num_str) == InvalidValue(
+        line, col, num_str, (
+            f"Invalid value '{num_str}'. Expected string representing a number "
+            "with exactly three decimal places."))
+
+@given(num_str=st.from_regex(r"^[0-9]+\.[0-9]{3}$", fullmatch=True))
+def test_cell_average_value_pass_if_three_decimal_places(num_str):
+    """
+    GIVEN: `num_str` is a string representing a number with exactly three
+      decimal places, e.g. 2.924, 39.483
+    WHEN: `num_str` is provided as an argument to `avg_invalid_value` function,
+    THEN: `avg_invalid_value` returns `None`
+    """
+    line, col = randint(0, 100), randint(0, 20)
+    assert avg_invalid_value(line, col, num_str) is None
+
+@given(num_str=st.from_regex(r"^[0-9]+\.([0-9]{0,5}$)", fullmatch=True))
+def test_cell_standard_error_value_errors_if_less_than_six_decimal_places2(num_str):
+    """
+    GIVEN: `num_str` is a string representing a number with less than six
+      decimal places, e.g. 2.9, 39.4837
+    WHEN: `num_str` is provided as an argument to `se_invalid_value` function,
+    THEN: `se_invalid_value` returns a `quality_control.errors.InvalidValue`
+      object with the information about the placement of the invalid value.
+    """
+    line, col = randint(0, 100), randint(0, 20)
+    assert se_invalid_value(line, col, num_str) == InvalidValue(
+        line, col, num_str, (
+            f"Invalid value '{num_str}'. Expected string representing a number "
+            "with at least six decimal places."))
+
+
+@given(num_str=st.from_regex(r"^[0-9]+\.[0-9]{6,}$", fullmatch=True))
+def test_cell_standard_error_value_pass_if_six_or_more_decimal_places(num_str):
+    """
+    GIVEN: `num_str` is a string representing a number with six or more
+      decimal places, e.g. 2.938434, 39.4837343
+    WHEN: `num_str` is provided as an argument to `se_invalid_value` function,
+    THEN: `se_invalid_value` returns `None`
+    """
+    line, col = randint(0, 100), randint(0, 20)
+    assert se_invalid_value(line, col, num_str) is None
diff --git a/tests/qc/test_header.py b/tests/qc/test_header.py
index 6ca9376..f860a71 100644
--- a/tests/qc/test_header.py
+++ b/tests/qc/test_header.py
@@ -4,7 +4,10 @@ from hypothesis import given
 from hypothesis import strategies as st
 
 from quality_control.headers import valid_header
+from quality_control.errors import InvalidValue, DuplicateHeading
 from quality_control.errors import DuplicateHeader, InvalidHeaderValue
+from quality_control.headers import (
+    invalid_header, invalid_headings, duplicate_headings)
 
 @given(headers=st.lists(st.text(max_size=10)))
 def test_valid_header_errors_with_invalid_headers(headers):
@@ -31,3 +34,58 @@ def test_valid_header_fails_with_duplicate_headers(strains, headers):
     """Check that parsing fails if any header is duplicated"""
     with pytest.raises(DuplicateHeader):
         valid_header(strains, headers)
+
+## ============================================================
+
+@given(headers=st.lists(st.text(max_size=10), max_size=1))
+def test_invalid_header_with_list_of_one_value(headers):
+    assert invalid_header(0, headers) == InvalidValue(
+        0, 0, "<TAB>".join(headers),
+        "The header MUST contain at least 2 columns")
+
+@given(headings=st.lists(st.text(min_size=2, max_size=10), min_size=2))
+def test_invalid_headings_with_invalid_inputs(headings):
+    "Verify that the check for header validity works"
+    assert invalid_headings(0, ("BXD1", "BXD2", "BXD3"), headings) == tuple(
+        InvalidValue(0, col, heading, f"'{heading}' not a valid strain.")
+        for col, heading in enumerate(headings, start=2))
+
+@pytest.mark.parametrize(
+    "strains,headers", [
+        (("BXD1", "BXD2", "BXD3"), ("ProbeSet", "BXD3", "BXD1")),
+        (("AStrain", "AnotherStrain", "YetAnotherStrain"),
+         ("Individual", "AStrain", "AnotherStrain", "YetAnotherStrain"))])
+def test_invalid_header_with_valid_headers(strains, headers):
+    "Verify that the check for header validity works"
+    assert invalid_header(0, headers) == None
+
+@pytest.mark.parametrize(
+    "strains,headings", [
+        (("BXD1", "BXD2", "BXD3"), ("BXD3", "BXD1")),
+        (("AStrain", "AnotherStrain", "YetAnotherStrain"),
+         ("AStrain", "AnotherStrain", "YetAnotherStrain"))])
+def test_invalid_headings_with_valid_headings(strains, headings):
+    "Verify that the check for header validity works"
+    assert invalid_headings(0, strains, headings) == tuple()
+
+@pytest.mark.parametrize(
+    "headers,repeated", [
+        (("ProbeSet", "BXD3", "BXD1", "BXD1"), {"BXD1": (3, 4)}),
+        (("Individual", "AStrain", "AnotherStrain", "YetAnotherStrain",
+          "AStrain"), {"AStrain": (2, 5)})])
+def test_duplicate_headers_with_repeated_column_headings(headers, repeated):
+    """Check that parsing fails if any header is duplicated"""
+    assert duplicate_headings(0, headers) == tuple(
+        DuplicateHeading(0, head, cols, (
+            f"Heading '{head}', is repeated in columns "
+            f"{','.join(str(i) for i in cols)}"))
+        for head, cols in repeated.items())
+
+@pytest.mark.parametrize(
+    "headers", [
+        (("ProbeSet", "BXD3", "BXD1")),
+        (("Individual", "AStrain", "AnotherStrain", "YetAnotherStrain",))])
+def test_duplicate_headers_with_unique_column_headings(headers):
+    """Check that parsing fails if any header is duplicated"""
+    assert duplicate_headings(0, headers) == tuple()
+