structued well

apps/PatientDataExtractorService/main.py

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+from flask import Flask, request, jsonify
+import fitz  # PyMuPDF
+import re
+
+app = Flask(__name__)
+
+DOB_RE = re.compile(r'(?<!\d)(\d{1,2})/(\d{1,2})/(\d{4})(?!\d)')
+ID_RE  = re.compile(r'^\d{8,14}$')  # 8–14 digits, whole line
+
+# lines that tell us we've moved past the name/DOB area
+STOP_WORDS = {
+    'eligibility', 'coverage', 'age band', 'date of', 'service',
+    'tooth', 'number', 'surface', 'procedure', 'code', 'description',
+    'provider', 'printed on', 'member id', 'name', 'date of birth'
+}
+
+@app.route("/extract", methods=["POST"])
+def extract():
+    file = request.files['pdf']
+    doc = fitz.open(stream=file.read(), filetype="pdf")
+    text = "\n".join(page.get_text("text") for page in doc)
+    lines = [line.strip() for line in text.splitlines() if line.strip()]
+
+    member_id = ""
+    name = ""
+    dob = ""
+
+    # 1) Find the first plausible member ID (8–14 digits)
+    id_idx = -1
+    for i, line in enumerate(lines):
+        if ID_RE.match(line):
+            member_id = line
+            id_idx = i
+            break
+
+    if id_idx == -1:
+        return jsonify({"memberId": "", "name": "", "dob": ""})
+
+    # 2) Scan forward to collect name + DOB; handle both same-line and next-line cases
+    collected = []
+    j = id_idx + 1
+    while j < len(lines):
+        low = lines[j].lower()
+        if any(sw in low for sw in STOP_WORDS):
+            break
+        collected.append(lines[j])
+        # If we already found a DOB, we can stop early
+        if DOB_RE.search(lines[j]):
+            break
+        j += 1
+
+    # Flatten the collected chunk to search for a date (works if DOB is on same line or next)
+    blob = " ".join(collected).strip()
+
+    m = DOB_RE.search(blob)
+    if m:
+        dob = m.group(0)
+        # name is everything before the date within the same blob
+        name = blob[:m.start()].strip()
+    else:
+        # fallback: if we didn't find a date, assume first collected line(s) are name
+        name = blob
+
+    return jsonify({
+        "memberId": member_id,
+        "name": name,
+        "dob": dob
+    })
+
+if __name__ == "__main__":
+    app.run(port=5001)

apps/PatientDataExtractorService/package.json

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+{
+  "name": "patientdataextractorservice",
+  "private": true,
+  "scripts": {
+    "postinstall": "pip install -r requirements.txt",
+    "dev": "python main.py"
+  }
+}

apps/PatientDataExtractorService/requirements.txt

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+flask
+pymupdf