GiteadandClaude Opus 5.5
ebc5fba2c9
- Extract gender, address (street/city/state/zip) and home phone from the MassHealth Member Detail page and save to the patient; phone is only filled when the patient has none - Shared extract_eligibility_row polls up to 30s until the matching results row has both name and plan before the PDF is printed (AngularJS fills cell text after the rows appear); used by all three MH eligibility workers - Fall back to the Member Detail heading for the name when the results table never filled it in Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
75 lines
2.8 KiB
Python
75 lines
2.8 KiB
Python
import re
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from selenium.webdriver.common.by import By
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# Labels shown in the MassHealth Member Detail block, e.g.
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# Date of Birth: 4/21/1958
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# Gender: Female
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# Address: 169 CYPRESS ST, NEWTON, MA 02459
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# Home Phone: 6036789376
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# Registered Not Registered in Member Community
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_LABELS = ("Date of Birth", "Gender", "Address", "Home Phone", "Phone", "Registered")
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def _label_value(text, label):
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"""Value next to "Label:" — same line or the next line (innerText of a
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two-column layout can put the value on its own line). Empty when the
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portal leaves the field blank."""
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m = re.search(rf"(?:^|\n)[ \t]*{re.escape(label)}:[ \t]*\n?[ \t]*([^\n]*)", text)
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if not m:
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return ""
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value = m.group(1).strip()
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# Blank field — we grabbed the next row's label instead of a value
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if value.endswith(":") or any(value.startswith(f"{l}:") or value == l for l in _LABELS):
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return ""
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return value
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def extract_member_demographics(driver):
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"""Read gender, address and phone from the MassHealth Member Detail page.
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Returns only the fields that were found:
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gender — "Female" / "Male" as shown by the portal
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address, city, state, zipCode — split from "STREET, CITY, ST 12345"
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phone — 10 digits
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memberName — the heading above "Date of Birth:" (e.g. "OLHA SVYSHCH")
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"""
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result = {}
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try:
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text = driver.find_element(By.TAG_NAME, "body").get_attribute("innerText") or ""
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# Name is the last non-empty line before the "Date of Birth:" row
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dob = re.search(r"(?:^|\n)[ \t]*Date of Birth:", text)
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if dob:
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lines = [l.strip() for l in text[:dob.start()].split("\n") if l.strip()]
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if lines and ":" not in lines[-1]:
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result["memberName"] = lines[-1]
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gender = _label_value(text, "Gender")
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if gender:
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result["gender"] = gender
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address = _label_value(text, "Address")
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if address:
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# "169 CYPRESS ST, NEWTON, MA 02459" — street may itself contain commas (APT 2)
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m = re.match(r"^(.*),\s*([^,]+?),?\s+([A-Z]{2})\s+(\d{5})(?:-?\d{4})?$", address)
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if m:
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result["address"] = m.group(1).strip()
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result["city"] = m.group(2).strip()
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result["state"] = m.group(3)
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result["zipCode"] = m.group(4)
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else:
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result["address"] = address
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phone = _label_value(text, "Home Phone") or _label_value(text, "Phone")
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digits = re.sub(r"\D", "", phone)
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if len(digits) == 11 and digits.startswith("1"):
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digits = digits[1:]
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if len(digits) == 10:
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result["phone"] = digits
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print(f"[extract_member_demographics] {result}")
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except Exception as e:
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print(f"[extract_member_demographics] failed: {e}")
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return result
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