From aed62fd26e2a4153b7710c127073f31b3f346143 Mon Sep 17 00:00:00 2001
From: ueta-eisuke <ueta.eisuke1@gmail.com>
Date: Sat, 19 Dec 2020 18:36:03 +0900
Subject: [PATCH] add url logging

---
 README.md             | 17 +++++++++--------
 fastlabel/__init__.py |  7 +++++--
 setup.py              |  2 +-
 3 files changed, 15 insertions(+), 11 deletions(-)

diff --git a/README.md b/README.md
index b5cab85..9f49e3d 100644
--- a/README.md
+++ b/README.md
@@ -3,9 +3,11 @@
 ## Installation
 
 ```bash
-$ pip install fastlabel
+$ pip install --upgrade fastlabel
 ```
 
+> Python version 3.8 or greater is required
+
 ## Usage
 
 Configure API Key in environment variable.
@@ -27,18 +29,17 @@ client = fastlabel.Client()
 
 ```python
 import fastlabel
-from fastlabel.const import AnalysisType
 
 # Initialize client
 client = fastlabel.Client()
 
 # Create predictions
-const predictions = [
+predictions = [
     {
-        fileKey="sample1.jpg",  # file name exists in project
-        labels=[
+        "fileKey": "sample1.jpg",  # file name exists in your project
+        "labels": [
             {
-                "value": "line_a",  # class value exists in project
+                "value": "line_a",  # class value exists in your project
                 "points": [
                     { "x": 10, "y": 10 },
                     { "x": 20, "y": 20 },
@@ -58,8 +59,8 @@ const predictions = [
 # Upload predictions
 client.upload_predictions(
     project_id="project_id",    # your fastlabel project id
-    analysis_type=AnalysisType.line,    # annotation type to be analyze
-    threshold=20,   # IoU percentage/pixel to analyze labels. (Ex: 0 - 100)
+    analysis_type="line",    # annotation type to be analyze ("bbox" or "line" are supported)
+    threshold=25,   # IoU percentage/pixel to analyze labels. (Ex: 0 - 100)
     predictions=predictions
 )
 ```
diff --git a/fastlabel/__init__.py b/fastlabel/__init__.py
index f657081..e734d29 100644
--- a/fastlabel/__init__.py
+++ b/fastlabel/__init__.py
@@ -1,8 +1,11 @@
-import logging
 import os
 import requests
+from logging import getLogger
 from fastlabel.const import AnalysisType
 
+logger = getLogger(__name__)
+
+APP_BASE_URL = "https://app.fastlabel.ai/projects/"
 FASTLABEL_ENDPOINT = "https://api-fastlabel-production.web.app/api/v1/"
 
 class Client:
@@ -74,7 +77,7 @@ def upload_predictions(self, project_id: str, analysis_type: AnalysisType, thres
             "predictions": predictions
         }
         self._postrequest(endpoint, payload=payload)
-        logging.info("")
+        logger.warn("Successfully uploaded! See " + APP_BASE_URL + project_id + "/modelAnalysis")
 
 
 class FastLabelException(Exception):
diff --git a/setup.py b/setup.py
index 2141b78..0aefc90 100644
--- a/setup.py
+++ b/setup.py
@@ -8,7 +8,7 @@
 
 setuptools.setup(
     name="fastlabel",
-    version="0.1.0",
+    version="0.1.1",
     author="eisuke-ueta",
     author_email="eisuke.ueta@fastlabel.ai",
     description="The official Python SDK for FastLabel API, the Data Platform for AI",