update file

Author: SURESHBEEKHANI

fastapi_intro/.gitignore

@@ -1 +1,5 @@
-
+# .gitignore for Python projects
+.venv/
+/__pycache__/
+*.pyc
+uv.lock

fastapi_intro/Pydantic/nested_models.py

@@ -0,0 +1,56 @@
+from pydantic import BaseModel
+
+
+class Address(BaseModel):
+    """
+    Represents an address with street, city, state, and postal code.
+    """
+    street: str
+    city: str
+    state: str
+    postal_code: str
+
+
+class Patient(BaseModel):
+    """
+    Represents a patient with personal and medical information.
+    """
+    name: str
+    gender: str
+    age: int
+    address: Address
+
+
+def print_patient_details(patient: Patient) -> None:
+    """
+    Prints the details of a Patient instance, including nested address.
+    """
+    print(f"Name: {patient.name}")
+    print(f"Gender: {patient.gender}")
+    print(f"Age: {patient.age}")
+    print("Address:")
+    print(f"  Street: {patient.address.street}")
+    print(f"  City: {patient.address.city}")
+    print(f"  State: {patient.address.state}")
+    print(f"  Postal Code: {patient.address.postal_code}")
+
+
+# Example usage: Creating Address and Patient instances from dictionaries
+address_data = {
+    "street": "123 Main St",
+    "city": "Springfield",
+    "state": "IL",
+    "postal_code": "62701"
+}
+
+patient_data = {
+    "name": "John Doe",
+    "gender": "male",
+    "age": 30,
+    "address": address_data
+}
+
+patient1 = Patient(**patient_data)
+
+# Print all values of the patient using the print_patient_details function
+print_patient_details(patient1)

fastapi_intro/Pydantic/serialization.py

@@ -0,0 +1,75 @@
+# Import BaseModel from Pydantic for data validation and serialization
+from pydantic import BaseModel
+
+
+# Define Address model for nested serialization
+class Address(BaseModel):
+    """
+    Represents an address with street, city, state, and postal code.
+    """
+    street: str
+    city: str
+    state: str
+    postal_code: str
+
+
+# Define Patient model with nested Address
+class Patient(BaseModel):
+    """
+    Represents a patient with personal and medical information.
+    """
+    name: str
+    gender: str
+    age: int
+    address: Address
+
+
+# Function to print all details of a Patient instance, including nested address
+def print_patient_details(patient: Patient) -> None:
+    """
+    Prints the details of a Patient instance, including nested address.
+    """
+    print(f"Name: {patient.name}")
+    print(f"Gender: {patient.gender}")
+    print(f"Age: {patient.age}")
+    print("Address:")
+    print(f"  Street: {patient.address.street}")
+    print(f"  City: {patient.address.city}")
+    print(f"  State: {patient.address.state}")
+    print(f"  Postal Code: {patient.address.postal_code}")
+
+
+# Example usage: Creating Address and Patient instances from dictionaries
+address_data = {
+    "street": "123 Main St",
+    "city": "Springfield",
+    "state": "IL",
+    "postal_code": "62701"
+}
+
+patient_data = {
+    "name": "John Doe",
+    "gender": "male",
+    "age": 30,
+    "address": address_data
+}
+
+# Create Patient instance from dictionary
+patient1 = Patient(**patient_data)
+
+# Demonstrate Pydantic serialization methods
+# model_dump returns a dict representation of the model
+# model_dump_json returns a JSON string, with options to include/exclude fields
+# exclude_unset only includes fields that were set
+temp = patient1.model_dump  # Reference to the model_dump method (not called)
+temp2 = patient1.model_dump_json(exclude=["name", "age"])  # JSON without name and age
+temp3 = patient1.model_dump_json(include=["name", "age"])  # JSON with only name and age
+temp4 = patient1.model_dump_json(exclude_unset=True)  # JSON with only set fields
+
+# Print the various serialization outputs
+print(temp2)
+print(temp3)
+print(temp4)
+print(temp)  # This will print the method object, not the data
+print(type(temp))
+print(type(temp2))