Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
|
@@ -1,5 +1,4 @@
|
|
| 1 |
import streamlit as st
|
| 2 |
-
import json
|
| 3 |
import pandas as pd
|
| 4 |
import re
|
| 5 |
from io import BytesIO
|
|
@@ -8,22 +7,22 @@ from io import BytesIO
|
|
| 8 |
# Page Setup
|
| 9 |
# -------------------------------------------------
|
| 10 |
st.set_page_config(page_title="JSON Text to Excel", layout="wide")
|
| 11 |
-
st.title("📘 JSON Text
|
| 12 |
|
| 13 |
st.markdown(
|
| 14 |
-
"Paste
|
| 15 |
-
"The app
|
| 16 |
)
|
| 17 |
|
| 18 |
# -------------------------------------------------
|
| 19 |
-
#
|
| 20 |
# -------------------------------------------------
|
| 21 |
if "json_text" not in st.session_state:
|
| 22 |
st.session_state.json_text = ""
|
| 23 |
|
| 24 |
-
|
| 25 |
"JSON Data (Text Format)",
|
| 26 |
-
height=
|
| 27 |
key="json_text",
|
| 28 |
placeholder='''"LABELS": {
|
| 29 |
"ICN": {
|
|
@@ -33,37 +32,31 @@ json_text = st.text_area(
|
|
| 33 |
)
|
| 34 |
|
| 35 |
# -------------------------------------------------
|
| 36 |
-
#
|
| 37 |
# -------------------------------------------------
|
| 38 |
-
def
|
| 39 |
-
|
| 40 |
|
| 41 |
-
|
| 42 |
-
|
| 43 |
|
| 44 |
-
|
| 45 |
-
|
| 46 |
-
text = "{" + text
|
| 47 |
-
if not text.endswith("}"):
|
| 48 |
-
text = text + "}"
|
| 49 |
|
| 50 |
-
|
|
|
|
| 51 |
|
| 52 |
-
#
|
| 53 |
-
|
| 54 |
-
|
| 55 |
-
|
| 56 |
-
|
| 57 |
|
| 58 |
-
|
| 59 |
-
|
| 60 |
-
|
| 61 |
-
|
| 62 |
-
|
| 63 |
-
else:
|
| 64 |
-
rows.append([k, v])
|
| 65 |
-
|
| 66 |
-
walk(data)
|
| 67 |
|
| 68 |
return pd.DataFrame(
|
| 69 |
rows,
|
|
@@ -77,28 +70,24 @@ if st.button("Generate Excel Data", type="primary"):
|
|
| 77 |
raw_text = st.session_state.json_text
|
| 78 |
|
| 79 |
if raw_text.strip() == "":
|
| 80 |
-
st.warning("⚠️ Please paste JSON-like data.")
|
| 81 |
else:
|
| 82 |
-
|
| 83 |
-
clean_json = normalize_json(raw_text)
|
| 84 |
-
parsed = json.loads(clean_json)
|
| 85 |
-
|
| 86 |
-
df = flatten_json(parsed)
|
| 87 |
|
|
|
|
|
|
|
|
|
|
| 88 |
st.subheader("📊 Excel Preview")
|
| 89 |
st.dataframe(df, use_container_width=True)
|
| 90 |
|
| 91 |
-
# Excel
|
| 92 |
buffer = BytesIO()
|
| 93 |
with pd.ExcelWriter(buffer, engine="xlsxwriter") as writer:
|
| 94 |
df.to_excel(writer, index=False, sheet_name="Labels")
|
| 95 |
|
| 96 |
st.download_button(
|
| 97 |
-
|
| 98 |
-
|
| 99 |
-
|
| 100 |
-
|
| 101 |
)
|
| 102 |
-
|
| 103 |
-
except Exception as e:
|
| 104 |
-
st.error(f"❌ Unable to parse input: {e}")
|
|
|
|
| 1 |
import streamlit as st
|
|
|
|
| 2 |
import pandas as pd
|
| 3 |
import re
|
| 4 |
from io import BytesIO
|
|
|
|
| 7 |
# Page Setup
|
| 8 |
# -------------------------------------------------
|
| 9 |
st.set_page_config(page_title="JSON Text to Excel", layout="wide")
|
| 10 |
+
st.title("📘 JSON Text → Excel Converter")
|
| 11 |
|
| 12 |
st.markdown(
|
| 13 |
+
"Paste JSON-like **text data** (not strict JSON). "
|
| 14 |
+
"The app parses it line-by-line and generates Excel output."
|
| 15 |
)
|
| 16 |
|
| 17 |
# -------------------------------------------------
|
| 18 |
+
# Text Input (HF Safe)
|
| 19 |
# -------------------------------------------------
|
| 20 |
if "json_text" not in st.session_state:
|
| 21 |
st.session_state.json_text = ""
|
| 22 |
|
| 23 |
+
text_input = st.text_area(
|
| 24 |
"JSON Data (Text Format)",
|
| 25 |
+
height=380,
|
| 26 |
key="json_text",
|
| 27 |
placeholder='''"LABELS": {
|
| 28 |
"ICN": {
|
|
|
|
| 32 |
)
|
| 33 |
|
| 34 |
# -------------------------------------------------
|
| 35 |
+
# Line-by-line Parser (ROBUST)
|
| 36 |
# -------------------------------------------------
|
| 37 |
+
def parse_text_to_rows(text):
|
| 38 |
+
rows = []
|
| 39 |
|
| 40 |
+
for line in text.splitlines():
|
| 41 |
+
line = line.strip()
|
| 42 |
|
| 43 |
+
if not line:
|
| 44 |
+
continue
|
|
|
|
|
|
|
|
|
|
| 45 |
|
| 46 |
+
# Remove trailing commas
|
| 47 |
+
line = line.rstrip(",")
|
| 48 |
|
| 49 |
+
# Match "KEY": {
|
| 50 |
+
obj_match = re.match(r'"([^"]+)"\s*:\s*\{', line)
|
| 51 |
+
if obj_match:
|
| 52 |
+
rows.append([obj_match.group(1), None])
|
| 53 |
+
continue
|
| 54 |
|
| 55 |
+
# Match "KEY": "VALUE"
|
| 56 |
+
kv_match = re.match(r'"([^"]+)"\s*:\s*"([^"]*)"', line)
|
| 57 |
+
if kv_match:
|
| 58 |
+
rows.append([kv_match.group(1), kv_match.group(2)])
|
| 59 |
+
continue
|
|
|
|
|
|
|
|
|
|
|
|
|
| 60 |
|
| 61 |
return pd.DataFrame(
|
| 62 |
rows,
|
|
|
|
| 70 |
raw_text = st.session_state.json_text
|
| 71 |
|
| 72 |
if raw_text.strip() == "":
|
| 73 |
+
st.warning("⚠️ Please paste JSON-like text data.")
|
| 74 |
else:
|
| 75 |
+
df = parse_text_to_rows(raw_text)
|
|
|
|
|
|
|
|
|
|
|
|
|
| 76 |
|
| 77 |
+
if df.empty:
|
| 78 |
+
st.error("❌ No valid key/value data found.")
|
| 79 |
+
else:
|
| 80 |
st.subheader("📊 Excel Preview")
|
| 81 |
st.dataframe(df, use_container_width=True)
|
| 82 |
|
| 83 |
+
# Excel Export
|
| 84 |
buffer = BytesIO()
|
| 85 |
with pd.ExcelWriter(buffer, engine="xlsxwriter") as writer:
|
| 86 |
df.to_excel(writer, index=False, sheet_name="Labels")
|
| 87 |
|
| 88 |
st.download_button(
|
| 89 |
+
"📥 Download Excel File",
|
| 90 |
+
buffer.getvalue(),
|
| 91 |
+
"JSON_Text_To_Excel.xlsx",
|
| 92 |
+
"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
|
| 93 |
)
|
|
|
|
|
|
|
|
|