feat: MassHealth member detail demographics, wait for name/plan before PDF
- 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>
This commit is contained in:
Claude Opus 5.5
@@ -9,6 +9,8 @@ import time
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import os
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import base64
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from mh_eligibility_results import extract_eligibility_row
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class AutomationMassHealthEligibilityCheck:
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def __init__(self, data):
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self.headless = False
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@@ -245,124 +247,9 @@ class AutomationMassHealthEligibilityCheck:
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print(f"[step1] Could not save screenshot: {ss_err}")
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return f"ERROR:STEP1:{substep}"
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def _cell_text(self, cell):
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"""Get text from a cell, falling back to JS innerText if .text is empty."""
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text = cell.text.strip()
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if not text:
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try:
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text = (self.driver.execute_script("return arguments[0].innerText;", cell) or "").strip()
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except Exception:
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pass
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return text
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def _normalize_id(self, s):
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"""Strip all non-alphanumeric characters and lowercase for robust ID matching."""
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return ''.join(c for c in str(s) if c.isalnum()).lower()
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def _extract_data_from_page(self):
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wait = WebDriverWait(self.driver, 15)
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extracted = {}
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try:
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# Wait until at least one table row appears under Eligible or Ineligible —
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# the h4 header renders before the rows are populated, so we must wait for rows.
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wait.until(
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EC.presence_of_element_located(
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(By.XPATH, "//h4[text()='Eligible' or text()='Ineligible']/following::table[1]/tbody/tr")
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)
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)
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eligible_rows = self.driver.find_elements(
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By.XPATH,
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"//h4[text()='Eligible']/following::table[1]/tbody/tr"
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)
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if eligible_rows:
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for row in eligible_rows:
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cells = row.find_elements(By.TAG_NAME, "td")
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if len(cells) < 3:
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continue
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member_number = self._cell_text(cells[2])
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norm_cell = self._normalize_id(member_number)
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norm_self = self._normalize_id(self.memberId)
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print(f"[eligible] cells count={len(cells)}, memberId check: '{norm_self}' vs '{norm_cell}' (raw: '{member_number}')")
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if len(cells) >= 5:
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print(f" cells[3]='{self._cell_text(cells[3])}' cells[4]='{self._cell_text(cells[4])}'", end="")
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if len(cells) > 5:
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print(f" cells[5]='{self._cell_text(cells[5])}'", end="")
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if len(cells) > 6:
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print(f" cells[6]='{self._cell_text(cells[6])}'", end="")
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print()
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if norm_self and norm_cell and (norm_self in norm_cell or norm_cell in norm_self):
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# name is in cells[4], insurance in cells[6] (fallback to last cell)
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full_name = self._cell_text(cells[4]) if len(cells) > 4 else ""
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plan_name = self._cell_text(cells[6]) if len(cells) > 6 else (self._cell_text(cells[-1]) if len(cells) > 4 else "")
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name_parts = full_name.split()
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first_name = name_parts[0] if name_parts else ""
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last_name = " ".join(name_parts[1:]) if len(name_parts) > 1 else ""
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print(f"[eligible] MATCHED → name='{full_name}' plan='{plan_name}'")
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extracted = {
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"eligibility": "Y",
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"firstName": first_name,
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"lastName": last_name,
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"insurance": plan_name
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}
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return extracted
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ineligible_rows = self.driver.find_elements(
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By.XPATH,
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"//h4[text()='Ineligible']/following::table[1]/tbody/tr"
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)
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if ineligible_rows:
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for row in ineligible_rows:
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cells = row.find_elements(By.TAG_NAME, "td")
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if len(cells) < 3:
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continue
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member_number = self._cell_text(cells[2])
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norm_cell = self._normalize_id(member_number)
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norm_self = self._normalize_id(self.memberId)
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print(f"[ineligible] cells count={len(cells)}, memberId check: '{norm_self}' vs '{norm_cell}' (raw: '{member_number}')")
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if len(cells) >= 5:
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print(f" cells[3]='{self._cell_text(cells[3])}' cells[4]='{self._cell_text(cells[4])}'", end="")
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if len(cells) > 5:
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print(f" cells[5]='{self._cell_text(cells[5])}'", end="")
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print()
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if norm_self and norm_cell and (norm_self in norm_cell or norm_cell in norm_self):
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full_name = self._cell_text(cells[4]) if len(cells) > 4 else ""
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plan_name = self._cell_text(cells[5]) if len(cells) > 5 else (self._cell_text(cells[-1]) if len(cells) > 4 else "")
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name_parts = full_name.split()
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first_name = name_parts[0] if name_parts else ""
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last_name = " ".join(name_parts[1:]) if len(name_parts) > 1 else ""
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print(f"[ineligible] MATCHED → name='{full_name}' plan='{plan_name}'")
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extracted = {
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"eligibility": "N",
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"firstName": first_name,
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"lastName": last_name,
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"insurance": plan_name
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}
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return extracted
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print(f"[extraction] No matching row found for memberId='{self.memberId}'")
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return {"eligibility": None}
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except Exception as e:
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print("Extraction error:", e)
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return {"eligibility": None}
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# Waits until the matching row's name and plan are filled in
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return extract_eligibility_row(self.driver, self.memberId)
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def _print_current_page_as_pdf(self):
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"""Generate PDF from the currently active tab using CDP."""
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