set LM

config.json

@@ -1,5 +1,5 @@
 {
-  "model": "gpt-4",
+  "model": "openai/gpt-4o",
   "neo4j_schema": [],
   "max_tokens": 1024
 }

main.py

@@ -1,9 +1,18 @@
-from dotenv import load_dotenv
+import os
 import dspy
+from dotenv import load_dotenv
 from modaic import PrecompiledProgram, PrecompiledConfig
+from src.neo4j import Neo4j
 
 load_dotenv()
 
+# set up Neo4j using NEO4J_URI
+neo4j = Neo4j(
+    uri=os.getenv("NEO4J_URI"),
+    user=os.getenv("NEO4J_USER"),
+    password=os.getenv("NEO4J_PASSWORD"),
+)
+
 class CypherFromText(dspy.Signature):
     """Instructions:
     Create a Cypher MERGE statement to model all entities and relationships found in the text following these guidelines:
@@ -21,7 +30,7 @@ class CypherFromText(dspy.Signature):
 
 class GenerateCypherConfig(PrecompiledConfig):
     neo4j_schema: list[str] = []
-    model: str = "gpt-4"
+    model: str = "openai/gpt-4o"
     max_tokens: int = 1024
     
 
@@ -43,6 +52,6 @@ class GenerateCypher(PrecompiledProgram):
 
 if __name__ == "__main__":
     generate_cypher = GenerateCypher(GenerateCypherConfig())
-    generate_cypher.push_to_hub("farouk1/text-to-cypher", with_code=True, tag="v0.0.2", commit_message="set LM")
+    generate_cypher.push_to_hub("farouk1/text-to-cypher", with_code=True, tag="v0.0.3", commit_message="set LM")
     
     

src/neo4j.py

@@ -0,0 +1,177 @@
+import json
+import neo4j
+
+
+def parse_relationships(schema: dict) -> str:
+    # Parse the JSON string into a Python object if it's not already
+    if isinstance(schema, str):
+        data = json.loads(schema)
+    else:
+        data = schema
+
+    data = data[0]["relationships"]
+
+    # Initialize a list to hold the formatted relationship strings
+    relationships = []
+
+    # Iterate through each relationship in the data
+    for relationship in data:
+        entity1, relation, entity2 = relationship
+        # Extract the names of the entities and the relationship
+        entity1_name = entity1["name"]
+        entity2_name = entity2["name"]
+        # Format the string as specified and add it to the list
+        formatted_relationship = f"{entity1_name}-{relation}->{entity2_name}"
+        relationships.append(formatted_relationship)
+
+    # Join all formatted strings with a newline character
+    result = "\n".join(relationships)
+    return result
+
+
+def parse_nodes(schema):
+    schema = schema
+    nodes = [node["name"] for node in schema[0]["nodes"]]
+    return "\n".join(nodes)
+
+
+def parse_node_properties(node_properties):
+    # Initialize a dictionary to accumulate node details
+    node_details = {}
+
+    # Iterate through each item in the input JSON
+    for item in node_properties:
+        node_label = item["nodeLabels"][0]  # Assuming there's always one label
+        prop_name = item["propertyName"]
+        mandatory = "required" if item["mandatory"] else "optional"
+
+        # Prepare the property string
+        property_str = f"{prop_name} ({mandatory})" if item["mandatory"] else prop_name
+
+        # If the node label exists, append the property; otherwise, create a new entry
+        if node_label in node_details:
+            node_details[node_label].append(property_str)
+        else:
+            node_details[node_label] = [property_str]
+
+    # Format the output
+    output_lines = []
+    for node, properties in node_details.items():
+        output_lines.append(f"{node}")
+        for prop in properties:
+            prop_line = f"  - {prop}" if "required" in prop else f"  - {prop}"
+            output_lines.append(prop_line)
+
+    return "\n".join(output_lines)
+
+
+def parse_rel_properties(rel_properties):
+    # Initialize a dictionary to accumulate relationship details
+    rel_details = {}
+
+    # Iterate through each item in the input JSON
+    for item in rel_properties:
+        # Extract relationship type name, removing :` and `
+        rel_type = item["relType"][2:].strip("`")
+        prop_name = item["propertyName"]
+        mandatory = "required" if item["mandatory"] else "optional"
+
+        # If propertyName is not None, prepare the property string
+        if prop_name is not None:
+            property_str = f"{prop_name} ({mandatory})"
+            # If the relationship type exists, append the property; otherwise, create a new entry
+            if rel_type in rel_details:
+                rel_details[rel_type].append(property_str)
+            else:
+                rel_details[rel_type] = [property_str]
+        else:
+            # For relationships without properties, ensure the relationship is listed
+            rel_details.setdefault(rel_type, [])
+
+    # Format the output
+    output_lines = []
+    for rel_type, properties in rel_details.items():
+        output_lines.append(f"{rel_type}")
+        for prop in properties:
+            output_lines.append(f"  - {prop}")
+
+    return "\n".join(output_lines)
+
+
+class Neo4j:
+    def __init__(self, uri, user: str = None, password: str = None):
+        self._uri = uri
+        self._user = user
+        self._password = password
+        self._auth = (
+            None
+            if (self._user is None and self._password is None)
+            else (self._user, self._password)
+        )
+        self._driver = neo4j.GraphDatabase.driver(
+            self._uri, auth=(self._user, self._password)
+        )
+
+        self._verify_connection()
+
+    def close(self):
+        self._driver.close()
+
+    def _verify_connection(self):
+        with self._driver as driver:
+            driver.verify_connectivity()
+
+    def query(self, query, parameters=None, db=None):
+        assert db is None, (
+            "The Neo4j implementation does not support multiple databases."
+        )
+        with self._driver.session(database=db) as session:
+            result = session.run(query, parameters)
+            return result.data()
+
+    def schema(self, parsed=False):
+        query = """
+        CALL db.schema.visualization()
+        """
+        schema = self.query(query)
+
+        if parsed:
+            return parse_nodes(schema), parse_relationships(schema)
+
+        return schema
+
+    def schema_properties(self, parsed=False):
+        props = self._schema_node_properties(), self._schema_relationship_properties()
+        if parsed:
+            return parse_node_properties(props[0]), parse_rel_properties(props[1])
+
+        return props
+
+    def _schema_node_properties(self):
+        query = """
+        CALL db.schema.nodeTypeProperties()
+        """
+        return self.query(query)
+
+    def _schema_relationship_properties(self):
+        query = """
+        CALL db.schema.relTypeProperties()
+        """
+        return self.query(query)
+
+    def fmt_schema(self):
+        parsed_schema = self.schema(parsed=True)
+        parsed_props = self.schema_properties(parsed=True)
+        parsed = (*parsed_props, parsed_schema[1])
+        return "\n".join(
+            [
+                f"{element}:\n{parsed[idx]}\n"
+                for idx, element in enumerate(
+                    [
+                        "NODE LABELS & PROPERTIES",
+                        "RELATIONSHIP LABELS & PROPERTIES",
+                        "RELATIONSHIPS",
+                    ]
+                )
+            ]
+        )