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Browse files- app.py +3 -6
- run_all_samples.py +45 -125
app.py
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@@ -752,10 +752,7 @@ def health_check():
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from fastapi import BackgroundTasks
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@app.get("/run-all-samples")
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async def
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import run_all_samples
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run_all_samples.main()
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return {
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"status": "completed",
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"message": "All samples processed. Check results/ folder."
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}
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from fastapi import BackgroundTasks
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@app.get("/run-all-samples")
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async def run_all_samples():
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import run_all_samples
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run_all_samples.main()
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return {"status": "done", "results_ready": True}
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run_all_samples.py
CHANGED
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@@ -1,150 +1,70 @@
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# run_all_samples.py
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import os
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import json
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from pathlib import Path
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from datetime import datetime
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from fastapi.testclient import TestClient
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from app import app
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samples
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if not results.exists():
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return {"count": 0, "files": []}
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items = []
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for p in sorted(results.rglob("*")):
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if p.is_file():
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items.append(str(p.relative_to(base)))
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return {"count": len(items), "files": items}
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# Return tail of run_all_samples.log (first/last lines) as plain text
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@app.get("/debug-get-log", response_class=PlainTextResponse)
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def debug_get_log(lines: int = 200):
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base = Path(__file__).parent
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log_file = base / "run_all_samples.log"
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if not log_file.exists():
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return "NO LOG FILE"
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try:
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text = log_file.read_text(encoding="utf-8", errors="ignore")
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parts = text.splitlines()
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# return last `lines` lines
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out = "\n".join(parts[-lines:])
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return out
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except Exception as e:
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return f"ERROR reading log: {e}"
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# ----------------------------------------------------
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# Paths
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# ----------------------------------------------------
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BASE_DIR = Path(__file__).parent
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SAMPLES_DIR = BASE_DIR / "samples"
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RESULTS_DIR = BASE_DIR / "results"
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LOG_FILE = BASE_DIR / "run_all_samples.log"
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RESULTS_DIR.mkdir(exist_ok=True)
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# Logging helper
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# ----------------------------------------------------
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def log(msg: str):
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timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
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with open(LOG_FILE, "a", encoding="utf-8") as f:
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f.write(f"[{timestamp}] {msg}\n")
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# ----------------------------------------------------
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# File filter
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# ----------------------------------------------------
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def is_bill_file(path: Path):
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return path.suffix.lower() in [".pdf", ".png", ".jpg", ".jpeg"]
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# ----------------------------------------------------
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# Main extraction function
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# ----------------------------------------------------
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def main():
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log(f"Samples directory: {SAMPLES_DIR}")
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log("ERROR: samples/ folder does not exist!")
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return
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if not fp.is_file() or not is_bill_file(fp):
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continue
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log(f"Processing file: {fp.name}")
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res = client.post(
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"/extract-bill-data",
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json={"document": file_url},
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timeout=180
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)
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except Exception as e:
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log(f"ERROR calling extractor: {e}")
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summary[fp.name] = "EXTRACTOR_ERROR"
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continue
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log(f"ERROR API returned status {res.status_code}")
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summary[fp.name] = "API_ERROR"
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continue
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data = res.json()
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out_path = RESULTS_DIR / (fp.stem + ".json")
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try:
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with open(out_path, "w", encoding="utf-8") as f:
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json.dump(data, f, indent=2, ensure_ascii=False)
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log(f"Saved result JSON: {out_path}")
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except Exception as e:
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log(f"ERROR writing output JSON: {e}")
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continue
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total_items = "N/A"
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log(f"Items Extracted: {total_items}")
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log(f"{fn}: {items}")
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# Run manually if executed directly
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if __name__ == "__main__":
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main()
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# run_all_samples.py
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import json
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import os
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from pathlib import Path
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from fastapi.testclient import TestClient
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from app import app
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# -----------------------------
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# HuggingFace dataset URLs
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# -----------------------------
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SAMPLE_URLS = [
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"https://huggingface.co/datasets/Sathvik-kota/samples/resolve/main/train_sample_1.pdf",
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"https://huggingface.co/datasets/Sathvik-kota/samples/resolve/main/train_sample_2.pdf",
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"https://huggingface.co/datasets/Sathvik-kota/samples/resolve/main/train_sample_3.pdf",
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"https://huggingface.co/datasets/Sathvik-kota/samples/resolve/main/train_sample_4.pdf",
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"https://huggingface.co/datasets/Sathvik-kota/samples/resolve/main/train_sample_5.pdf",
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"https://huggingface.co/datasets/Sathvik-kota/samples/resolve/main/train_sample_6.pdf",
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"https://huggingface.co/datasets/Sathvik-kota/samples/resolve/main/train_sample_7.pdf",
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"https://huggingface.co/datasets/Sathvik-kota/samples/resolve/main/train_sample_8.pdf",
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"https://huggingface.co/datasets/Sathvik-kota/samples/resolve/main/train_sample_9.pdf",
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"https://huggingface.co/datasets/Sathvik-kota/samples/resolve/main/train_sample_10.pdf",
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"https://huggingface.co/datasets/Sathvik-kota/samples/resolve/main/train_sample_11.pdf",
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"https://huggingface.co/datasets/Sathvik-kota/samples/resolve/main/train_sample_12.pdf",
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"https://huggingface.co/datasets/Sathvik-kota/samples/resolve/main/train_sample_13.pdf",
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"https://huggingface.co/datasets/Sathvik-kota/samples/resolve/main/train_sample_14.pdf",
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"https://huggingface.co/datasets/Sathvik-kota/samples/resolve/main/train_sample_15.pdf",
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]
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BASE_DIR = Path(__file__).parent
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RESULTS_DIR = BASE_DIR / "results"
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RESULTS_DIR.mkdir(exist_ok=True)
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client = TestClient(app)
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def main():
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results = {}
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print("\n🚀 Running extractor on HuggingFace dataset...\n")
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for url in SAMPLE_URLS:
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fname = url.split("/")[-1]
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print(f"🔍 Processing: {fname}")
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resp = client.post("/extract-bill-data", json={"document": url})
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if resp.status_code != 200:
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print(f"❌ Error: {resp.status_code}")
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results[fname] = "API_ERROR"
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continue
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data = resp.json()
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out_file = RESULTS_DIR / f"{fname}.json"
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with open(out_file, "w", encoding="utf-8") as f:
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json.dump(data, f, indent=2)
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item_count = data["data"]["total_item_count"]
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results[fname] = item_count
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print(f" → Saved: {out_file}")
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print(f" → Items Extracted: {item_count}")
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print("\n📊 FINAL SUMMARY:")
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print(json.dumps(results, indent=2))
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if __name__ == "__main__":
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main()
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