From daf85e2f14359ec10811f8438466dcdf6e6d7fe1 Mon Sep 17 00:00:00 2001
From: williamfzc <178894043@qq.com>
Date: Sun, 26 Nov 2023 12:23:30 +0800
Subject: [PATCH] chore(ci): add third party lib test

---
 .github/workflows/python-package.yml |  4 ++++
 examples/for_axios.py                | 35 ++++++++++++++++++++++++++++
 2 files changed, 39 insertions(+)
 create mode 100644 examples/for_axios.py

diff --git a/.github/workflows/python-package.yml b/.github/workflows/python-package.yml
index 4fe3dc9..febfc02 100644
--- a/.github/workflows/python-package.yml
+++ b/.github/workflows/python-package.yml
@@ -36,3 +36,7 @@ jobs:
           poetry run python3 examples/write.py
           poetry run python3 examples/read.py
           poetry run pytest
+      - name: Third Party Test
+        run: |
+          git clone https://github.com/axios/axios.git
+          poetry run python3 examples/for_axios.py
diff --git a/examples/for_axios.py b/examples/for_axios.py
new file mode 100644
index 0000000..4686e63
--- /dev/null
+++ b/examples/for_axios.py
@@ -0,0 +1,35 @@
+import pathlib
+import sys
+import warnings
+
+from srctag.collector import Collector
+from srctag.storage import Storage
+from srctag.tagger import Tagger
+
+axios_repo = pathlib.Path(__file__).parent.parent / "axios"
+if not axios_repo.is_dir():
+    warnings.warn(f"clone axios to {axios_repo} first")
+    sys.exit(0)
+
+collector = Collector()
+collector.config.repo_root = axios_repo
+collector.config.max_depth_limit = -1
+collector.config.include_regex = r"lib.*"
+
+ctx = collector.collect_metadata()
+storage = Storage()
+storage.embed_ctx(ctx)
+tagger = Tagger()
+tagger.config.tags = [
+    "XMLHttpRequests from browser",
+    "HTTP requests from node.js",
+    "Promise API support",
+    "Request and response interception",
+    "Request and response data transformation",
+    "Request cancellation",
+    "Automatic JSON data transforms",
+    "Automatic serialization of data objects",
+    "Client-side XSRF protection"
+]
+tag_dict = tagger.tag(storage)
+print(tag_dict.scores_df.to_string(index=False))