Spaces:
Runtime error
Runtime error
File size: 2,239 Bytes
1903343 a5f8603 a908fc5 1903343 643dcb7 1903343 82531de 643dcb7 1903343 643dcb7 12a0822 ed41156 12a0822 643dcb7 ed41156 643dcb7 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 |
import streamlit as st
import streamlit.components.v1 as components
from py_code_analyzer import CodeFetcher, CodeImportsAnalyzer, ImportsGraphVisualizer
TITLE = "Python Code Analyzer"
st.set_page_config(page_title=TITLE, layout="wide")
st.title(TITLE)
st.markdown(
"The main purpose of the app is to allow Python developers navigate Python code base much "
+ "easier by showing dependencies among files included in the directory with better visualization."
)
st.markdown(
"**Checkout the source code [here](https://github.com/cyyeh/py-code-analyzer)**"
)
owner = st.text_input("Enter GitHub username", value="cyyeh")
repo = st.text_input("Enter GitHib repo name", value="py-code-analyzer")
path = st.text_input(
"Enter target directory path. Default: the target directory will be the root directory",
value="py_code_analyzer",
)
ref = st.text_input(
"Enter the name of the commit/branch/tag. Default: the repository's default branch",
)
clicked_ok_button = st.button("OK")
st.markdown("---")
def get_python_files(owner, repo, path, ref=""):
return CodeFetcher().get_python_files(owner, repo, path, ref=ref)
def generate_imports_graph(python_files):
return CodeImportsAnalyzer(python_files).analyze().generate_imports_graph()
def generate_graph_visualization_file(imports_graph):
ImportsGraphVisualizer().visualize(imports_graph)
def read_graph_visualization_file():
return open("nx.html", "r", encoding="utf-8").read()
if clicked_ok_button and owner and repo:
with st.spinner("Getting python files..."):
python_files = get_python_files(owner, repo, path, ref=ref)
with st.spinner("Generating imports graph..."):
imports_graph = generate_imports_graph(python_files)
with st.spinner("Generating graph visualization file..."):
generate_graph_visualization_file(imports_graph)
with st.spinner("Showing the graph..."):
graph_visualization_file = read_graph_visualization_file()
st.download_button(
"Download the result file",
graph_visualization_file,
file_name="result.html",
mime="text/html",
)
components.html(graph_visualization_file, height=600, scrolling=True)
|