- 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>
81 lines
3.0 KiB
Python
81 lines
3.0 KiB
Python
import time
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from selenium.webdriver.common.by import By
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# Cell texts of every row in the Eligible / Ineligible results tables.
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# innerText (not .text) so cells rendered off-screen still return their text.
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_ROWS_JS = """
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const out = [];
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for (const label of ['Eligible', 'Ineligible']) {
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const rows = document.evaluate(
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`//h4[normalize-space(text())='${label}']/following::table[1]/tbody/tr`,
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document, null, XPathResult.ORDERED_NODE_SNAPSHOT_TYPE, null);
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for (let i = 0; i < rows.snapshotLength; i++) {
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const cells = Array.from(rows.snapshotItem(i).querySelectorAll('td'))
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.map(td => (td.innerText || td.textContent || '').trim());
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out.push([label, cells]);
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}
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}
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return out;
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"""
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def _normalize_id(s):
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return "".join(c for c in str(s) if c.isalnum()).lower()
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def extract_eligibility_row(driver, member_id, timeout=30):
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"""Wait for the MassHealth results row matching member_id and return
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{eligibility, firstName, lastName, insurance}.
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AngularJS adds the rows first and fills the cell text afterwards — the
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member ID can appear before the name and plan do. Keep polling until the
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matching row has both a name and a plan, so callers never print the PDF
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before the data is captured. After the timeout, returns whatever was
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found ({"eligibility": None} if no row matched).
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"""
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norm_self = _normalize_id(member_id)
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best = {"eligibility": None}
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deadline = time.time() + timeout
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attempt = 0
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while True:
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attempt += 1
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try:
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rows = driver.execute_script(_ROWS_JS) or []
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except Exception as e:
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print(f"[extraction] reading rows failed: {e}")
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rows = []
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for label, cells in rows:
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if len(cells) < 3:
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continue
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norm_cell = _normalize_id(cells[2])
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if not (norm_self and norm_cell and (norm_self in norm_cell or norm_cell in norm_self)):
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continue
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# name in cells[4], plan in cells[6] (fallback to last cell)
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full_name = cells[4] if len(cells) > 4 else ""
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plan_name = cells[6] if len(cells) > 6 else (cells[-1] if len(cells) > 4 else "")
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name_parts = full_name.split()
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best = {
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"eligibility": "Y" if label == "Eligible" else "N",
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"firstName": name_parts[0] if name_parts else "",
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"lastName": " ".join(name_parts[1:]),
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"insurance": plan_name,
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}
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if full_name and plan_name:
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print(f"[extraction] MATCHED {label} → name='{full_name}' plan='{plan_name}' (attempt {attempt})")
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return best
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break
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if time.time() >= deadline:
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break
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if attempt % 5 == 1:
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state = "name/plan still empty" if best["eligibility"] else "no matching row yet"
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print(f"[extraction] {state} for memberId='{member_id}' (attempt {attempt}), waiting...")
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time.sleep(1)
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print(f"[extraction] gave up after {timeout}s for memberId='{member_id}' → {best}")
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return best
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