feat: add transcripts

README.md

@@ -90,6 +90,53 @@ t_algebra = Topic(
 )
 ```
 
+### Create a Proficiency Score, by name
+
+A **Proficiency Score** represents a person's level of proficiency in a specific topic.
+
+```python
+proficiency_score = ProficiencyScore(
+    topic_id="addition",
+    score=ProficiencyScoreName.PROFICIENT
+)
+```
+
+### Create a Proficiency Score, numerically
+
+All score are internally numeric from 0.0 to 1.0, even if set using the score name (above).
+
+```python
+proficiency_score = ProficiencyScore(
+    topic_id="arithmetic",
+    score=0.8 # Same as 'ProficiencyScoreName.PROFICIENT'
+)
+```
+
+### Issue a Transcript Entry
+
+A **Transcript Entry** associates a proficiency score to a user and is claimed by an issuer.
+
+```python
+from openproficiency import TranscriptEntry
+
+# Create a transcript entry
+entry = TranscriptEntry(
+    user_id="john-doe",
+    topic_id="arithmetic",
+    score=0.9,
+    issuer="university-of-example"
+)
+
+# Access the transcript entry information
+print(entry.user_id)  # john-doe
+print(entry.proficiency_score.score)  # 0.9
+print(entry.issuer)  # university-of-example
+print(entry.timestamp)  # datetime object
+
+# Convert to JSON for storage or transmission
+entry_json = entry.to_json()
+```
+
 ## How to Develop
 
 This project is open to pull requests.

openproficiency/ProficiencyScore.py

@@ -0,0 +1,97 @@
+"""ProficiencyScore module for OpenProficiency library."""
+
+import json
+from enum import Enum
+from typing import Union
+
+
+class ProficiencyScoreName(Enum):
+    """Enum for proficiency score names."""
+
+    UNAWARE = 0.0
+    AWARE = 0.1
+    FAMILIAR = 0.5
+    PROFICIENT = 0.8
+    PROFICIENT_WITH_EVIDENCE = 1.0
+
+
+class ProficiencyScore:
+    """Class representing a proficiency score for a topic."""
+
+    # Initializers
+    def __init__(
+        self,
+        # Required
+        topic_id: str,
+        score: Union[float, ProficiencyScoreName],
+    ):
+        # Required
+        self.topic_id = topic_id
+        self.score = score
+
+    # Properties - Score
+    @property
+    def score(self) -> float:
+        """Get the score as a numeric value between 0.0 and 1.0."""
+        return self._score
+
+    @score.setter
+    def score(self, value: Union[float, ProficiencyScoreName]) -> None:
+        """Set the score numerically or using a ProficiencyScoreName enum."""
+        # If numeric, directly store it.
+        if isinstance(value, (int, float)):
+            if not (0.0 <= value <= 1.0):
+                raise ValueError(f"Score must be between 0.0 and 1.0, got {value}")
+            self._score = float(value)
+
+        # If enum, store as numeric value.
+        elif isinstance(value, ProficiencyScoreName):
+            self._score = value.value
+
+        else:
+            raise ValueError(f"Score must be numeric or ProficiencyScoreName enum. Got type: '{type(value)}'")
+
+    # Properties - Score
+    @property
+    def score_name(self) -> ProficiencyScoreName:
+        """Get the proficiency name as an enum value."""
+        return ProficiencyScore.get_score_name(self._score)
+
+    # Methods
+    def to_dict(self) -> dict[str, float]:
+        """Convert to a JSON-serializable dictionary."""
+        return {
+            "topic_id": self.topic_id,
+            "score": self._score,
+        }
+
+    def to_json(self) -> str:
+        """Convert to a JSON string."""
+        return json.dumps(self.to_dict())
+
+    # Static Methods
+    @staticmethod
+    def get_score_name(score: float) -> ProficiencyScoreName:
+        """Internal method to determine proficiency name from numeric score."""
+        if score == 1.0:
+            return ProficiencyScoreName.PROFICIENT_WITH_EVIDENCE
+
+        elif score >= 0.8:
+            return ProficiencyScoreName.PROFICIENT
+
+        elif score >= 0.5:
+            return ProficiencyScoreName.FAMILIAR
+
+        elif score >= 0.1:
+            return ProficiencyScoreName.AWARE
+
+        elif score >= 0.0:
+            return ProficiencyScoreName.UNAWARE
+
+        else:
+            raise ValueError(f"Invalid score value: {score}")
+
+    # Debugging
+    def __repr__(self) -> str:
+        """String representation of ProficiencyScore."""
+        return f"ProficiencyScore(topic_id='{self.topic_id}', score={self._score}, name={self.score_name.name})"

openproficiency/Topic.py

@@ -1,5 +1,6 @@
 """Topic module for OpenProficiency library."""
 
+import json
 from typing import List, Union
 
 
@@ -77,6 +78,19 @@ def add_pretopics(self, pretopics: List[Union[str, "Topic"]]) -> None:
         for pretopic in pretopics:
             self.add_pretopic(pretopic)
 
+    def to_dict(self) -> dict:
+        """Convert Topic to JSON-serializable dictionary."""
+        return {
+            "id": self.id,
+            "description": self.description,
+            "subtopics": self.subtopics,
+            "pretopics": self.pretopics
+        }
+
+    def to_json(self) -> str:
+        """Convert Topic to JSON string."""
+        return json.dumps(self.to_dict())
+
     # Debugging
     def __repr__(self) -> str:
         """String representation of Topic."""

openproficiency/TopicList.py

@@ -15,7 +15,7 @@ def __init__(
         owner: str,
         name: str,
         # Optional
-        description: str = "",
+        description: str = ""
     ):
         # Required
         self.owner = owner
@@ -204,7 +204,7 @@ def _add_pretopics_recursive(
                     topic_list.add_topic(pretopic)
                     current_child.add_pretopic(pretopic)
 
-    def to_json(self) -> str:
+    def to_dict(self) -> dict:
         """
         Export the TopicList to a JSON string.
         """
@@ -234,4 +234,8 @@ def to_json(self) -> str:
             # Store in data
             data["topics"][topic_id] = topic_data
 
-        return json.dumps(data, indent=2)
+        return data
+
+    def to_json(self) -> str:
+        """Convert TopicList to JSON string."""
+        return json.dumps(self.to_dict())

openproficiency/TranscriptEntry.py

@@ -0,0 +1,80 @@
+"""TranscriptEntry module for OpenProficiency library."""
+
+import json
+from datetime import datetime
+from typing import Optional, Union
+from .ProficiencyScore import ProficiencyScore
+
+
+class TranscriptEntry:
+    """A user's proficiency score, validated by a particular issuer."""
+
+    # Initializers
+    def __init__(
+        self,
+        # Required
+        user_id: str,
+        topic_id: str,
+        score: float,
+        issuer: str,
+        # Optional
+        timestamp: Optional[datetime] = None,
+    ):
+        # Required
+        self.user_id = user_id
+        self._proficiency_score = ProficiencyScore(
+            topic_id=topic_id,
+            score=score,
+        )
+        self.issuer = issuer
+
+        # Optional
+        self.timestamp = timestamp or datetime.now()
+
+    # Properties
+    @property
+    def proficiency_score(self) -> ProficiencyScore:
+        """Get the topic ID from the proficiency score."""
+        return self._proficiency_score
+
+    # Methods
+    def to_dict(self) -> dict[str, Union[str, int, float]]:
+        """Convert TranscriptEntry to JSON-serializable dictionary."""
+        return {
+            "user_id": self.user_id,
+            "topic_id": self._proficiency_score.topic_id,
+            "score": self._proficiency_score.score,
+            "issuer": self.issuer,
+            "timestamp": self.timestamp.isoformat(),
+        }
+
+    def to_json(self) -> str:
+        """Convert TranscriptEntry to JSON string."""
+        return json.dumps(self.to_dict())
+
+    # Methods - Static
+    @staticmethod
+    def from_dict(data: dict[str, Union[str, int, float]]) -> "TranscriptEntry":
+        """Create a TranscriptEntry from a dictionary."""
+        return TranscriptEntry(
+            user_id=data["user_id"],
+            topic_id=data["topic_id"],
+            score=data["score"],
+            issuer=data["issuer"],
+            timestamp=datetime.fromisoformat(data["timestamp"]),
+        )
+
+    @staticmethod
+    def from_json(json_str: str) -> "TranscriptEntry":
+        """Create a TranscriptEntry from a JSON string."""
+        return TranscriptEntry.from_dict(json.loads(json_str))
+
+    # Debugging
+    def __repr__(self) -> str:
+        """String representation of TranscriptEntry."""
+        return (
+            f"TranscriptEntry(user_id='{self.user_id}', "
+            f"topic_id='{self._proficiency_score.topic_id}', "
+            f"score={self._proficiency_score.score}, "
+            f"issuer='{self.issuer}'"
+        )

openproficiency/__init__.py

@@ -1,4 +1,6 @@
 """OpenProficiency - Library to manage proficiency scores using topics and topic lists."""
 
 from .Topic import Topic
-from .TopicList import TopicList
+from .TopicList import TopicList
+from .ProficiencyScore import ProficiencyScore, ProficiencyScoreName
+from .TranscriptEntry import TranscriptEntry

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "openproficiency"
-version = "0.1.0"
+version = "0.0.3"
 description = "A simple library for managing proficiency topics and topic lists"
 readme = "README.md"
 requires-python = ">=3.10"

setup.py

@@ -7,7 +7,7 @@
 
 setup(
     name="openproficiency",
-    version="0.1.0",
+    version="0.0.3",
     author="OpenProficiency Contributors",
     description="A library for managing proficiency topics and topic lists",
     long_description=long_description,