diff --git a/poetry.lock b/poetry.lock
new file mode 100644
index 00000000..8f2db6de
--- /dev/null
+++ b/poetry.lock
@@ -0,0 +1,1016 @@
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+]
+
+[[package]]
+name = "zipp"
+version = "3.15.0"
+description = "Backport of pathlib-compatible object wrapper for zip files"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "zipp-3.15.0-py3-none-any.whl", hash = "sha256:48904fc76a60e542af151aded95726c1a5c34ed43ab4134b597665c86d7ad556"},
+    {file = "zipp-3.15.0.tar.gz", hash = "sha256:112929ad649da941c23de50f356a2b5570c954b65150642bccdd66bf194d224b"},
+]
+
+[package.extras]
+docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+testing = ["big-O", "flake8 (<5)", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"]
+
+[extras]
+dev = []
+
+[metadata]
+lock-version = "2.0"
+python-versions = "^3.7"
+content-hash = "c0a9336e7e24de5b0dfeb870ef663d0b9b8034731d18736666d658de53158c03"
diff --git a/pyproject.toml b/pyproject.toml
index 7f815489..7775b601 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,3 +1,48 @@
+[tool.poetry]
+name = "sbol_utilities"
+description = "SBOL utilities"
+version = "1.0a17"
+readme = "README.md"
+authors = ["Your Name <yourname@example.com>"]
+
+[tool.poetry.dependencies]
+python = "^3.7"
+sbol3 = "^1.0b11"
+sbol2 = "^1.4"
+rdflib = "^6.2"
+biopython = "^1.79"
+graphviz = "^0.17"
+tyto = "^1.4"
+openpyxl = "^3.0"
+sbol_factory = "^1.0a11"
+
+[tool.poetry.dev-dependencies]
+pytest = "^6.0"
+interrogate = "^1.5"
+
+[tool.poetry.scripts]
+excel-to-sbol = "sbol_utilities.excel_to_sbol:main"
+graph-sbol = "sbol_utilities.graph_sbol:main"
+sbol-expand-derivations = "sbol_utilities.expand_combinatorial_derivations:main"
+sbol-calculate-sequences = "sbol_utilities.calculate_sequences:main"
+sbol-converter = "sbol_utilities.conversion:main"
+sbol2-to-sbol3 = "sbol_utilities.conversion:sbol2to3"
+sbol3-to-sbol2 = "sbol_utilities.conversion:sbol3to2"
+sbol-to-genbank = "sbol_utilities.conversion:sbol2genbank"
+sbol-to-fasta = "sbol_utilities.conversion:sbol2fasta"
+genbank-to-sbol = "sbol_utilities.conversion:genbank2sbol"
+fasta-to-sbol = "sbol_utilities.conversion:fasta2sbol"
+sbol-diff = "sbol_utilities.sbol_diff:main"
+
+[tool.poetry.extras]
+dev = ["pytest", "interrogate"]
+
+
+[build-system]
+requires = ["poetry-core>=1.1.0"]
+build-backend = "poetry.core.masonry.api"
+
+
 [tool.interrogate]
 
 # custom docstring conventions
diff --git a/sbol_utilities/excel_cell_selector.py b/sbol_utilities/excel_cell_selector.py
new file mode 100644
index 00000000..be9652ed
--- /dev/null
+++ b/sbol_utilities/excel_cell_selector.py
@@ -0,0 +1,83 @@
+from typing import List, Tuple
+import re
+
+CELL_SELECTOR_REGEX = r'((\w+)!)(\$[A-Z]+\$[\d]+):(\$[A-Z]+\$[\d]+)'
+CELL_LOCATION_REGEX = r'\$?(\w+)\$?(\d+)'
+
+def col_num_to_index(col_num):
+    """Converts a base-26 column number to a zero-based column index."""
+    col_idx = 0
+    for i, c in enumerate(reversed(col_num)):
+        col_idx += (ord(c) - ord('A') + 1) * (26 ** i)
+    return col_idx - 1
+
+def col_index_to_num(col_idx):
+    """Converts a zero-based column index to a base-26 column number."""
+    col_num = ''
+    while col_idx >= 0:
+        col_num = chr((col_idx % 26) + ord('A')) + col_num
+        col_idx = col_idx // 26 - 1
+    return col_num
+
+def get_area_enumeration(start_cell: str, end_cell: str) -> List[str]:
+    """Generates a list of cells from the start cell to the end cell.
+
+    Note this assumes a contiguous area of cells and the width and height of the area is not greater than 26.
+
+    Args:
+        start_cell (str): Start cell in the format of A1, $A1, A$1, or $A$1
+        end_cell (str): End cell in the format of A1, $A1, A$1, or $A$1
+
+    Raises:
+        ValueError: If the start or end cell is invalid.
+
+    Returns:
+        List[str]: A list of cells from the start cell to the end cell.
+    """    
+    ret = []
+
+    # Parse the start and end cells
+    start_cell_match = re.match(CELL_LOCATION_REGEX, start_cell)
+    end_cell_match = re.match(CELL_LOCATION_REGEX, end_cell)
+
+    if start_cell_match is None or end_cell_match is None:
+        raise ValueError(f'Invalid start/end cell: {start_cell}, {end_cell}')
+
+    start_col = col_num_to_index(start_cell_match[1])
+    start_row = int(start_cell_match[2])
+    end_col = col_num_to_index(end_cell_match[1])
+    end_row = int(end_cell_match[2])
+
+    # Enumerate the cells
+    for row in range(start_row, end_row + 1):
+        for col in range(start_col, end_col + 1):
+            ret.append(f'{col_index_to_num(col)}{row}')
+
+    return ret
+
+def get_selection(cell_selector_query: str) -> List[Tuple[str, str]]:
+    """Returns a selector that can be used to return the cells from the Excel sheet.
+
+    Args:
+        cell_selector_query (str): The query to use to select the cells.
+
+    Returns:
+        List[str]: Selector strings for the cells to return.
+    """
+    ret = []
+
+    # Perform the regex query
+    matches = re.findall(CELL_SELECTOR_REGEX, cell_selector_query)
+
+    if matches is None:
+        raise ValueError(f'Invalid cell selector query: {cell_selector_query}')
+
+    for match in matches:
+        sheet_name = match[1]
+        start_cell = match[2]
+        end_cell = match[3]
+        area_locations = get_area_enumeration(start_cell, end_cell)
+        for area_location in area_locations:
+            ret.append((sheet_name, area_location))
+
+    return ret
diff --git a/sbol_utilities/excel_to_sbol.py b/sbol_utilities/excel_to_sbol.py
index aab1082f..e6e3183c 100644
--- a/sbol_utilities/excel_to_sbol.py
+++ b/sbol_utilities/excel_to_sbol.py
@@ -1,3 +1,4 @@
+from typing import Dict, Optional
 import unicodedata
 import warnings
 import logging
@@ -17,7 +18,7 @@
 FINAL_PRODUCTS_COLLECTION = 'FinalProducts'
 
 
-def expand_configuration(values: dict) -> dict:
+def expand_configuration(values: Optional[Dict] = None) -> dict:
     """
     Initialize sheet configuration dictionary
     :param values: Dictionary of overrides for defaults
@@ -91,11 +92,21 @@ def read_metadata(wb: openpyxl.Workbook, doc: sbol3.Document, config: dict):
         cp_name = bp_name
         cp_description = bp_description
 
+    if bp_name is None:
+        raise ValueError('Basic parts collection name is required')
+    if bp_description is None:
+        raise ValueError('Basic parts collection description is required')
+    if cp_name is None:
+        raise ValueError('Composite parts collection name is required')
+    if cp_description is None:
+        raise ValueError('Composite parts collection description is required')
+
+    if 
     # Make the collections
-    basic_parts = sbol3.Collection(BASIC_PARTS_COLLECTION, name=bp_name, description=bp_description)
+    basic_parts = sbol3.Collection(BASIC_PARTS_COLLECTION, name=str(bp_name), description=str(bp_description))
     doc.add(basic_parts)
 
-    composite_parts = sbol3.Collection(COMPOSITE_PARTS_COLLECTION, name=cp_name, description=cp_description)
+    composite_parts = sbol3.Collection(COMPOSITE_PARTS_COLLECTION, name=str(cp_name), description=str(cp_description))
     doc.add(composite_parts)
 
     linear_products = sbol3.Collection(LINEAR_PRODUCTS_COLLECTION, name='Linear DNA Products',
@@ -207,11 +218,11 @@ def row_to_basic_part(doc: sbol3.Document, row, basic_parts: sbol3.Collection, l
 # form of a sub-component:
 # X: identifies a component or set thereof
 # RC(X): X is reversed
-reverse_complement_pattern = re.compile('RC\(.+\)')
+REVERSE_COMPLEMENT_PATTERN = re.compile(r'RC\(.+\)')
 # Returns sanitized text without optional reverse complement marker
 def strip_RC(name):
     sanitized = name.strip()
-    match = reverse_complement_pattern.match(sanitized)
+    match = REVERSE_COMPLEMENT_PATTERN.match(sanitized)
     return (sanitized[3:-1] if (match and len(match.group())==len(sanitized)) else sanitized)
 # returns true if part is reverse complement
 def is_RC(name):
@@ -255,17 +266,20 @@ def make_composite_component(display_id,part_lists,reverse_complements):
     # return the completed part
     return composite_part
 
-constraint_pattern = re.compile('Part (\d+) (.+) Part (\d+)')
-constraint_dict = {'same as': sbol3.SBOL_VERIFY_IDENTICAL,
-                   'different from': sbol3.SBOL_DIFFERENT_FROM,
-                   'same orientation as': sbol3.SBOL_SAME_ORIENTATION_AS,
-                   'different orientation from': sbol3.SBOL_SAME_ORIENTATION_AS}
-def make_constraint(constraint, part_list):
-    m = constraint_pattern.match(constraint)
+CONSTRAINT_PATTERN = re.compile(r'Part (\d+) (.+) Part (\d+)')
+CONSTRAINT_DICT = {
+    'same as': sbol3.SBOL_VERIFY_IDENTICAL,
+    'different from': sbol3.SBOL_DIFFERENT_FROM,
+    'same orientation as': sbol3.SBOL_SAME_ORIENTATION_AS,
+    'different orientation from': sbol3.SBOL_SAME_ORIENTATION_AS
+}
+
+def make_constraint(constraint:str, part_list):
+    m = CONSTRAINT_PATTERN.match(constraint)
     if not m:
         raise ValueError(f'Constraint "{constraint}" does not match pattern "Part X relation Part Y"')
     try:
-        restriction = constraint_dict[m.group(2)]
+        restriction = CONSTRAINT_DICT[m.group(2)]
     except KeyError:
         raise ValueError(f'Do not recognize constraint relation in "{constraint}"')
     x = int(m.group(1))
@@ -278,7 +292,7 @@ def make_constraint(constraint, part_list):
     return sbol3.Constraint(restriction, part_list[x-1], part_list[y-1])
 
 
-def make_combinatorial_derivation(document, display_id,part_lists,reverse_complements,constraints):
+def make_combinatorial_derivation(document, display_id, part_lists, reverse_complements, constraints):
     # Make the combinatorial derivation and its template
     template = sbol3.Component(display_id + "_template", sbol3.SBO_DNA)
     document.add(template)
@@ -420,7 +434,7 @@ def make_composite_part(document, row, composite_parts, linear_products, final_p
         plasmid.constraints.append(sbol3.Constraint(sbol3.SBOL_MEETS, backbone_sub, part_sub))
 
 
-def excel_to_sbol(wb: openpyxl.Workbook, config: dict = None) -> sbol3.Document:
+def excel_to_sbol(wb: openpyxl.Workbook, config: Optional[Dict] = None) -> sbol3.Document:
     """
     Take an open Excel file, return an SBOL document
     :param wb: openpyxl pointer to an Excel file
diff --git a/sbol_utilities/expand_combinatorial_derivations.py b/sbol_utilities/expand_combinatorial_derivations.py
index 7c157d09..17291ed8 100644
--- a/sbol_utilities/expand_combinatorial_derivations.py
+++ b/sbol_utilities/expand_combinatorial_derivations.py
@@ -45,7 +45,7 @@ def collection_values(self, c: sbol3.Collection) -> List[sbol3.Component]:
         assert all(isinstance(find_top_level(x), sbol3.Collection) or isinstance(find_top_level(x), sbol3.Component) for x in c.members)
         values = [find_top_level(x) for x in id_sort(c.members) if isinstance(find_top_level(x), sbol3.Component)] + \
             id_sort(itertools.chain(*([self.collection_values(x) for x in c.members if isinstance(find_top_level(x), sbol3.Collection)])))
-        logging.debug("Found "+str(len(values))+" values in collection "+c.display_id)
+        logging.debug(f"Found {str(len(values))} values in collection {c.display_id}")
         return values
 
     def cd_variable_values(self, v: sbol3.VariableFeature) -> List[sbol3.Component]:
@@ -54,12 +54,12 @@ def cd_variable_values(self, v: sbol3.VariableFeature) -> List[sbol3.Component]:
         :param v: Variable to be flattened
         :return: list of Component values found
         """
-        logging.debug("Finding values for " + find_child(v.variable).name)
+        logging.debug(f"Finding values for {find_child(v.variable).name}")
         sub_cd_collections = [self.derivation_to_collection(find_top_level(d)) for d in id_sort(v.variant_derivations)]
         values = [find_top_level(x) for x in id_sort(v.variants)] + \
                  id_sort(itertools.chain(*[self.collection_values(c) for c in id_sort(v.variant_collections)])) + \
                  id_sort(itertools.chain(*(self.collection_values(c) for c in id_sort(sub_cd_collections))))
-        logging.debug("Found " + str(len(values)) + " total values for " + find_child(v.variable).name)
+        logging.debug(f"Found {str(len(values))} total values for {find_child(v.variable).name}")
         return values
 
     def derivation_to_collection(self, cd: sbol3.CombinatorialDerivation) -> sbol3.Collection:
@@ -76,15 +76,15 @@ def derivation_to_collection(self, cd: sbol3.CombinatorialDerivation) -> sbol3.C
         sort_owned_objects(find_top_level(cd.template)) # TODO: https://github.com/SynBioDex/pySBOL3/issues/231
         # we've already converted this CombinatorialDerivation to a Collection, just return the conversion
         if cd in self.expanded_derivations.keys():
-            logging.debug('Found previous expansion of ' + cd.display_id)
+            logging.debug(f"Found previous expansion of {cd.display_id}")
             return self.expanded_derivations[cd]
         # if it doesn't already exist, we'll build it
-        logging.debug("Expanding combinatorial derivation " + cd.display_id)
+        logging.debug(f"Expanding combinatorial derivation {cd.display_id}")
         # first get all of the values
         values = [id_sort(self.cd_variable_values(v)) for v in id_sort(cd.variable_features)]
         # if this is de facto a collection rather than a CD, just return it directly
         if is_library(cd):
-            logging.debug("Interpreting combinatorial derivation " + cd.display_id + " as library")
+            logging.debug(f"Interpreting combinatorial derivation {cd.display_id} as library")
             derivatives = sbol3.Collection(cd.identity + "_collection")
             doc.add(derivatives)
             derivatives.members += values[0]
@@ -96,7 +96,7 @@ def derivation_to_collection(self, cd: sbol3.CombinatorialDerivation) -> sbol3.C
             for a in assignments:
                 # scratch_doc = sbol3.Document()
                 derived = find_top_level(cd.template).clone(cd_assigment_to_display_id(cd, a))
-                logging.debug("Considering derived combination " + derived.display_id)
+                logging.debug(f"Considering derived combination {derived.display_id}")
                 # scratch_doc.add(derived) # add to the scratch document to enable manipulation of children
                 doc.add(derived)  # add to the scratch document to enable manipulation of children
                 # Replace variables with values
@@ -139,7 +139,7 @@ def expand_derivations(targets: List[sbol3.CombinatorialDerivation]) -> List[sbo
     # Output document will contain the derivative collections for each target
     expander = CombinatorialDerivationExpander()
     for cd in targets:
-        logging.info('Expanding derivation '+cd.display_id)
+        logging.info(f"Expanding derivation {cd.display_id}")
         expander.derivation_to_collection(cd)
         logging.info("Expansion finished, producing "+str(len(expander.expanded_derivations[cd].members))+" designs")
 
diff --git a/sbol_utilities/igem/__init__.py b/sbol_utilities/igem/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/sbol_utilities/igem/qc_checker.py b/sbol_utilities/igem/qc_checker.py
new file mode 100644
index 00000000..c8f8f080
--- /dev/null
+++ b/sbol_utilities/igem/qc_checker.py
@@ -0,0 +1,62 @@
+from __future__ import annotations
+from typing import Dict, List, Optional, Tuple
+
+from sbol_utilities.igem.qc_entity import QCEntity
+from sbol_utilities.igem.qc_field import QCFieldQualityScore
+from sbol_utilities.igem.qc_input_data import QCInputData
+
+class QCChecker:
+    """Class to perform the QC check on a package."""
+
+    def __init__(self):
+        """Initialize the QC checker.
+        """
+        self.entities: Dict[str, QCEntity]
+        self.overall_score: QCFieldQualityScore = QCFieldQualityScore()
+        self.errors: List[Dict[str, Optional[str]]] = [] # Key: location, Value: error/warning message
+
+    @staticmethod
+    def from_json(schema_json_dict: Dict) -> QCChecker:
+        """Read the QC JSON file and populate the QCChecker object.
+
+        Args:
+            schema_json_dict (Dict): _description_
+
+        Returns:
+            QCChecker: _description_
+        """        
+        # Read the 
+        ret = QCChecker()
+        for entity_id, entity_dict in schema_json_dict.items():
+            entity = QCEntity.from_json(entity_dict)
+            ret.entities[entity_id] = entity
+
+        return ret
+
+    def perform_qc_check(self, entity_id: str, data_to_validate: QCInputData) -> None:
+        """Perform the QC check on the package data.
+
+        Package data shape Example:
+
+        entity_id = "top_level_entity_1" // Refer to the entity_id in the QC JSON file
+        pakcage_data = {
+            "source_location": "Whatever Excel Location is",
+            "data": { whatever data is }
+        }
+        
+        Args:
+            package_data: The package data to check.
+
+        Returns:
+            None.
+        """
+
+        # Pass the package data to the entity to validate
+        entity = self.entities[entity_id]
+        normailization_factor = len(data_to_validate.data)
+        # Since this can be a collection of matching entity types, we need to iterate through each
+        entity_qc_score, entity_error_messages = entity.validate(data_to_validate.data)
+        # Add the QC score to the item
+        self.overall_score += entity_qc_score/normailization_factor
+        # Add the error messages to the item
+        self.errors.append(entity_error_messages)
diff --git a/sbol_utilities/igem/qc_data.json b/sbol_utilities/igem/qc_data.json
new file mode 100644
index 00000000..94c9fc3e
--- /dev/null
+++ b/sbol_utilities/igem/qc_data.json
@@ -0,0 +1,106 @@
+{
+    "parts": { // objects that we want to validate are all at top level
+        "entity_id": "UUID", // unique identifier for the object type
+        "sbol_destination": "http://synbiohub.org/public/igem/igem_collection/1", // the destination of the object
+        "fields": {
+            "partName": {
+                "type": {
+                    "type": "String",
+                    "valid": ".*"
+                },
+                "sbol_destination": "http://synbiohub.org/public/igem/igem_collection/1",
+                "required": true,
+                "sourcePointer": "A1",
+                "qualityPoints": [
+                    {
+                        "quality": "A",
+                        "points": 10
+                    },
+                    {
+                        "quality": "B",
+                        "points": 5
+                    },
+                    {
+                        "quality": "C",
+                        "points": 0
+                    }
+                ],
+                "errors": {
+                    "validationError": "Part name is invalid",
+                    "missingValueError": "Part name is required"
+                },
+                "warnings": {
+                    "validationWarning": "Part name is invalid",
+                    "missingValueWarning": "Part name is required"
+                }
+            },
+            "role": {
+                "type": {
+                    "type": "Enum",
+                    "valid": [
+                        "CDS",
+                        "plasmid_vector",
+                        "designed_sequence",
+                        "other"
+                    ]
+                },
+                "sbol_destination": "http://synbiohub.org/public/igem/igem_collection/1", // the destination of the object
+                "required": true,
+                "sourcePointer": "A1",
+                "qualityPoints": [
+                    {
+                        "quality": "A",
+                        "points": 10
+                    },
+                    {
+                        "quality": "B",
+                        "points": 5
+                    },
+                    {
+                        "quality": "C",
+                        "points": 0
+                    }
+                ],
+                "errors": {
+                    "validationError": "Part name is invalid",
+                    "missingValueError": "Part name is required"
+                },
+                "warnings": {
+                    "validationWarning": "Part name is invalid",
+                    "missingValueWarning": "Part name is required"
+                }
+            },
+            "designNotes": {
+                "type": {
+                    "type": "String",
+                    "valid": ".*"
+                },
+                "sbol_destination": "http://synbiohub.org/public/igem/igem_collection/1", // the destination of the object
+                "required": false,
+                "sourcePointer": "A1",
+                "qualityPoints": [
+                    {
+                        "quality": "A",
+                        "points": 10
+                    },
+                    {
+                        "quality": "B",
+                        "points": 5
+                    },
+                    {
+                        "quality": "C",
+                        "points": 0
+                    }
+                ],
+                "errors": {
+                    "validationError": "Part name is invalid",
+                    "missingValueError": "Part name is required"
+                },
+                "warnings": {
+                    "validationWarning": "Part name is invalid",
+                    "missingValueWarning": "Part name is required"
+                }
+            }
+        }
+    }
+}
\ No newline at end of file
diff --git a/sbol_utilities/igem/qc_default_evaluators.py b/sbol_utilities/igem/qc_default_evaluators.py
new file mode 100644
index 00000000..141d8303
--- /dev/null
+++ b/sbol_utilities/igem/qc_default_evaluators.py
@@ -0,0 +1,5 @@
+VALIDATION_ERROR = "validationError"
+MISSING_VALUE_ERROR = "missingValueError"
+VALIDATION_WARNING = "validationWarning"
+MISSING_VALUE_WARNING = "missingValueWarning"
+
diff --git a/sbol_utilities/igem/qc_entity.py b/sbol_utilities/igem/qc_entity.py
new file mode 100644
index 00000000..5af736b3
--- /dev/null
+++ b/sbol_utilities/igem/qc_entity.py
@@ -0,0 +1,47 @@
+from __future__ import annotations
+from dataclasses import dataclass
+from typing import Dict, Tuple, Optional
+
+from sbol_utilities.igem.qc_field import QCField, QCFieldQualityScore
+
+@dataclass
+class QCEntity:
+    fields: Dict[str, QCField]
+
+    def __init__(self) -> None:
+        self.fields = {}
+
+    @staticmethod
+    def from_json(entity_dict: Dict) -> QCEntity:
+        """Convert the JSON entity to a QCEntity object.
+
+        Args:
+            entity_dict (Dict): JSON dictionary of the entity.
+
+        Returns:
+            QCEntity: The QCEntity object.
+        """
+        ret = QCEntity()
+        for field_id, field_dict in entity_dict['fields'].items():
+            field = QCField.from_json(field_dict)
+            ret.fields[field_id] = field
+        return ret
+
+    def validate(self, data: Dict) -> Tuple[QCFieldQualityScore, Dict[str, Optional[str]]]:
+        """Validate the data against the entity.
+
+        Args:
+            data (Dict): JSON dictionary of the data to validate.
+
+        Returns:
+            Tuple[QCFieldQualityScore, Dict[str, Optional[str]]]: The QC score and the validation messages.
+        """        
+        entity_score = QCFieldQualityScore()
+        entity_validation_messages: Dict[str, Optional[str]] = {}
+        for field_id, field in self.fields.items():
+            validation_result = field.validate(data[field_id])
+            entity_score = field.get_quality_score(failure = validation_result[0])
+            entity_validation_messages[field_id] = validation_result[1]
+
+        return entity_score, entity_validation_messages
+
diff --git a/sbol_utilities/igem/qc_field.py b/sbol_utilities/igem/qc_field.py
new file mode 100644
index 00000000..1ba3ddb8
--- /dev/null
+++ b/sbol_utilities/igem/qc_field.py
@@ -0,0 +1,73 @@
+from __future__ import annotations
+from copy import copy
+from dataclasses import dataclass
+from typing import Any, Dict, Optional, Tuple
+from sbol_utilities.igem.qc_default_evaluators import MISSING_VALUE_ERROR, MISSING_VALUE_WARNING, VALIDATION_ERROR
+from sbol_utilities.igem.qc_field_quality_score import QCFieldQualityScore
+
+from sbol_utilities.igem.qc_fieldtype import QCFieldType
+
+
+ValidationResult = Tuple[bool, Optional[str]]
+
+@dataclass
+class QCField:
+    type: QCFieldType
+    required: bool
+    sourcePointer: str
+    qualityPoints: QCFieldQualityScore
+    errors: Dict[str, str]
+    warnings: Dict[str, str]
+
+    @staticmethod
+    def from_json(field_dict: Dict) -> QCField:
+        """Parse the JSON dict and return a QCField object.
+
+        Args:
+            field_dict (Dict): Field dict from the JSON file.
+
+        Returns:
+            QCField: New QCField object.
+        """
+        ret = QCField(
+            type = QCFieldType.from_json(field_dict['type']),
+            required = field_dict['required'],
+            sourcePointer = field_dict['sourcePointer'],
+            qualityPoints = QCFieldQualityScore.from_json(field_dict['qualityPoints']),
+            errors = field_dict['errors'],
+            warnings = field_dict['warnings']
+        )
+        return ret
+
+    def validate(self, value: Any) -> ValidationResult:
+        """Validate the value against the QCField.
+
+        _extended_summary_
+
+        Args:
+            value (Any): Value in the excel
+
+        Returns:
+            ValidationResult: Tuple of (bool, Optional[str]) where the first value is True if the value is valid and the second value is the error message if the value is invalid.
+        """
+        # Step 1 - Check if value is present
+        # If value is required then we pull missing value error
+        if self.required:
+            if value is None:
+                return (False, self.errors[MISSING_VALUE_ERROR])
+        else:
+            if value is None:
+                return (True, self.warnings[MISSING_VALUE_WARNING])
+
+        # Step 2 - Check if value is valid
+        if self.type.validate(value):
+            return (True, None)
+        else:
+            return (False, self.errors[VALIDATION_ERROR])
+
+    def get_quality_score(self, failure:bool = False) -> QCFieldQualityScore:        
+        ret = copy(self.qualityPoints)
+        if failure:
+            for key in ret.keys():
+                ret[key] = 0
+        return ret
diff --git a/sbol_utilities/igem/qc_field_quality_score.py b/sbol_utilities/igem/qc_field_quality_score.py
new file mode 100644
index 00000000..ba4bec7b
--- /dev/null
+++ b/sbol_utilities/igem/qc_field_quality_score.py
@@ -0,0 +1,59 @@
+from __future__ import annotations
+from typing import Dict, List, Union
+
+
+class QCFieldQualityScore( Dict[str, float]):
+    """
+
+    Data structure to store quality score for a field/entry/package.
+
+    """
+
+    @staticmethod
+    def from_json(json_list: List) -> QCFieldQualityScore:
+        """Read the QC JSON file and populate the QCChecker object."""
+        ret = QCFieldQualityScore()
+        for item in json_list:
+            ret[item['quality']] = item['points']
+
+        return ret
+
+
+    def __add__(self, other:  Dict[str, float]) -> QCFieldQualityScore:
+        """ Overload the + operator to add two QCFieldQualityScore objects
+
+        Adds all the matching key values or otherwise adds the new keys
+
+        Args:
+            other (Dict[str, float]): The other QCFieldQualityScore object to add
+
+        Returns:
+            QCFieldQualityScore: QCFieldQualityScore
+        """
+        for key, value in other.items():
+            if key not in self.keys():
+                self[key] = value
+            else:
+                self[key] += value
+        return self
+
+
+    def __copy__(self) -> QCFieldQualityScore:
+        """ Overload the copy operator to copy a QCFieldQualityScore object
+
+        Creates a new QCFieldQualityScore object and copies all the key values
+
+        Returns:
+            QCFieldQualityScore: _description_
+        """        
+        ret = QCFieldQualityScore()
+        for key, value in self.items():
+            ret[key] = value
+        return ret
+    
+    def __truediv__(self, other: Union[float,int]) -> QCFieldQualityScore:
+        for key, value in self.items():
+            self[key] = value / other
+        return self
+
+
diff --git a/sbol_utilities/igem/qc_fieldtype.py b/sbol_utilities/igem/qc_fieldtype.py
new file mode 100644
index 00000000..2e0e8ed8
--- /dev/null
+++ b/sbol_utilities/igem/qc_fieldtype.py
@@ -0,0 +1,79 @@
+from __future__ import annotations
+from dataclasses import dataclass
+from datetime import datetime
+from enum import Enum
+from typing import Dict, List, Optional, Union, Any
+import re
+
+
+class FieldTypeEnum(Enum):
+    STRING = "String"
+    NUMBER = "Number"
+    BOOLEAN = "Boolean"
+    DATETIME = "DateTime"
+    ENUM = "Enum"
+
+
+
+@dataclass
+class QCFieldType:
+    """A class to represent a QC field type"""
+
+    type: FieldTypeEnum
+    valid: Optional[Union[List[str], str]]
+
+    @staticmethod
+    def from_json(field_type_dict: Dict) -> QCFieldType:
+        """ Create a QCFieldType object from a json string
+
+        Args:
+            field_type (str): The json string to create the object from
+
+        Returns:
+            QCFieldType: The created object
+        """
+        ret = QCFieldType(FieldTypeEnum(field_type_dict['type']), field_type_dict['valid'])
+        return ret
+
+    def validate(self, value: Any) -> bool:
+        """ Validate a value against the field type
+
+        Args:
+            value (Any): The value to validate
+
+        Raises:
+            ValueError: If invalid data is passed to the function
+            ValueError: An uknown field type is passed to the function
+
+        Returns:
+            bool: True if the value is valid, False otherwise
+        """
+        if self.type == FieldTypeEnum.STRING:
+            # Check if valid field has a string
+            if isinstance(self.valid, str):
+                match_pattern = self.valid
+                # Check if regex pattern stored in self.valid matches value
+                if re.match(match_pattern, value):
+                    return True
+                else:
+                    return False
+            else:
+                raise ValueError(f"Invalid field data fround for type: {self.type}")
+        elif self.type == FieldTypeEnum.NUMBER:
+            try:
+                float(value)
+                return True
+            except ValueError:
+                return False
+        elif self.type == FieldTypeEnum.BOOLEAN:
+            return value in ["True", "False"]
+        elif self.type == FieldTypeEnum.DATETIME:
+            try:
+                datetime.strptime(value, "%Y-%m-%dT%H:%M:%S")
+                return True
+            except ValueError:
+                return False
+        elif self.type == FieldTypeEnum.ENUM:
+            return value in self.valid
+        else:
+            raise ValueError("Unknown field type")
diff --git a/sbol_utilities/igem/qc_input_data.py b/sbol_utilities/igem/qc_input_data.py
new file mode 100644
index 00000000..c3efd4a4
--- /dev/null
+++ b/sbol_utilities/igem/qc_input_data.py
@@ -0,0 +1,8 @@
+from dataclasses import dataclass
+from typing import Dict
+
+
+@dataclass
+class QCInputData:
+    source_location: str
+    data: Dict
diff --git a/test/igem/test_field_quality_score.py b/test/igem/test_field_quality_score.py
new file mode 100644
index 00000000..c2de2c08
--- /dev/null
+++ b/test/igem/test_field_quality_score.py
@@ -0,0 +1,33 @@
+import unittest
+
+from sbol_utilities.igem.qc_field_quality_score import QCFieldQualityScore
+
+
+class TestFieldQualityScore(unittest.TestCase):
+
+    def test_add(self):
+        score_1 = QCFieldQualityScore()
+        score_1["a"] = 1
+        score_1["b"] = 2
+        score_1["c"] = 3
+        score_2 = QCFieldQualityScore()
+        score_2["a"] = 1
+        score_2["b"] = 2
+        score_2["d"] = 3
+        score_3 = score_1 + score_2
+        self.assertEqual(score_3["a"], 2)
+        self.assertEqual(score_3["b"], 4)
+        self.assertEqual(score_3["c"], 3)
+        self.assertEqual(score_3["d"], 3)
+
+    def test_copy(self):
+        score_1 = QCFieldQualityScore()
+        score_1["a"] = 1
+        score_1["b"] = 2
+        score_1["c"] = 3
+        score_2 = score_1.__copy__()
+        self.assertEqual(score_2["a"], 1)
+        self.assertEqual(score_2["b"], 2)
+        self.assertEqual(score_2["c"], 3)
+        score_1["a"] = 2
+        self.assertEqual(score_2["a"], 1)