From adb5270b73753ce920f458d577b008d61fb414f5 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Andr=C3=A9=20Santanch=C3=A8?= <santanche@gmail.com>
Date: Sat, 5 Oct 2024 10:03:21 -0300
Subject: [PATCH] feat (fastapi): new fastapi example

---
 service/ai/correlation/claude.md      |  9 +++++++++
 service/ai/{ => prediction}/claude.md | 14 +++++---------
 service/basic/README.md               | 19 +++++++++++++++++++
 service/basic/fastapi/main.py         | 11 +++++++++++
 4 files changed, 44 insertions(+), 9 deletions(-)
 create mode 100644 service/ai/correlation/claude.md
 rename service/ai/{ => prediction}/claude.md (63%)
 create mode 100644 service/basic/README.md
 create mode 100644 service/basic/fastapi/main.py

diff --git a/service/ai/correlation/claude.md b/service/ai/correlation/claude.md
new file mode 100644
index 00000000..fb467149
--- /dev/null
+++ b/service/ai/correlation/claude.md
@@ -0,0 +1,9 @@
+# Conversas com Claude.ai - Componentization
+
+## Solicitando um Serviço de Correlação
+
+Given a file "intake-person-demo(age).csv" with the following file fields: age, gender, ethnicity, and fcid_code. Create a FastAPI service that has the following endpoint:
+
+GET /correlation
+
+This service receives the fcid_code of a food product. It returns the correlation between the age and intake_bw of the food product. The data to calculate the correlation comes from the csv file.
\ No newline at end of file
diff --git a/service/ai/claude.md b/service/ai/prediction/claude.md
similarity index 63%
rename from service/ai/claude.md
rename to service/ai/prediction/claude.md
index f0dd1041..ad28ef21 100644
--- a/service/ai/claude.md
+++ b/service/ai/prediction/claude.md
@@ -1,24 +1,20 @@
-Given a file "intake-person-demo(age).csv" with the following file fields: age, gender, ethnicity, and fcid_code. Create a FastAPI service that has the following endpoint:
+# Conversas com Claude.ai - Componentization
 
-GET /correlation
-
-This service receives the fcid_code of a food product. It returns the correlation between the age and intake_bw of the food product. The data to calculate the correlation comes from the csv file.
-
------
+## Passo 2 - Transformando Workflow em Componente
 
 Given a . Create a python class to execute logistic regression predictions with two operations:
 
 * train: Receives the csv file path file with the following file fields: age, gender, ethnicity, and fcid_code. Trains a logistic regression model to predict the fcid_code given age, gender, and ethnicity.
 * predict: Receives three parameters (age, gender, and ethnicity) and predicts the fcid_code with the logistic regression model.
 
------
+### Exemplo de uso
 
 Can you give me a example of code using this class to do predictions with the following parameters:
 * train: file path = "intake-person-demo(beans).csv"
 * predict: age=31; gender=1; ethnicity=2
 
------
+## Passo 3 - Componente para Serviço
 
 Can you transform this code into a FastAPI service with two endpoints:
 * POST /train
-* GET /predict
\ No newline at end of file
+* GET /predict
diff --git a/service/basic/README.md b/service/basic/README.md
new file mode 100644
index 00000000..aa1c1818
--- /dev/null
+++ b/service/basic/README.md
@@ -0,0 +1,19 @@
+# FastAPI
+https://fastapi.tiangolo.com/
+
+# Installing
+
+This statement forces a specific version of FastAPI installation when the default is not the latest.
+
+~~~
+pip3 install "fastapi[standard]"==0.112.0
+~~~
+
+# Simple Example
+
+Examples derived from the tutorial:
+https://fastapi.tiangolo.com/
+
+~~~
+fastapi dev main.py
+~~~
\ No newline at end of file
diff --git a/service/basic/fastapi/main.py b/service/basic/fastapi/main.py
new file mode 100644
index 00000000..8d984746
--- /dev/null
+++ b/service/basic/fastapi/main.py
@@ -0,0 +1,11 @@
+from fastapi import FastAPI
+
+app = FastAPI()
+
+@app.get("/")
+def read_root():
+    return {"Hello": "World"}
+
+@app.get("/items/{item_id}")
+def read_item(item_id: int, q: str | None = None):
+    return {"item_id": item_id, "q": q}