166 lines
6.9 KiB
Python
166 lines
6.9 KiB
Python
"""Exploration script — Device Deficiency forms in EvaMed DRY study."""
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import asyncio
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import json
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from pathlib import Path
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from playwright.async_api import async_playwright
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BASE_URL = "https://prod.evamed.com/etude/soft/index.php"
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LOGIN_URL = f"{BASE_URL}?module=authentification&class=login&client=myopowers-dry"
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LIST_URL = f"{BASE_URL}?module=monitoring&class=formslisting¢er_id=2&formtype=121&l=ALL"
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LOGIN = "vbuzalka"
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PASSWORD = "Vlado9674+"
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SCREENSHOTS_DIR = Path(__file__).parent / "screenshots_dd"
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SESSION_FILE = Path(__file__).parent / "session.json"
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async def main():
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SCREENSHOTS_DIR.mkdir(exist_ok=True)
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async with async_playwright() as p:
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browser = await p.chromium.launch(headless=False)
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if SESSION_FILE.exists():
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context = await browser.new_context(storage_state=str(SESSION_FILE))
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print("Loaded saved session")
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else:
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context = await browser.new_context(viewport={"width": 1400, "height": 900})
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page = await context.new_page()
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# Login if needed
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await page.goto(LIST_URL)
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await page.wait_for_load_state("networkidle")
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if "authentification" in page.url:
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print("Logging in...")
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await page.goto(LOGIN_URL)
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await page.wait_for_load_state("networkidle")
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await page.locator("#login").fill(LOGIN)
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await page.locator('input[type="password"]').first.fill(PASSWORD)
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await page.click('input[value="Connection"]')
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await page.wait_for_load_state("networkidle")
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await context.storage_state(path=str(SESSION_FILE))
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print("Session saved")
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await page.goto(LIST_URL)
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await page.wait_for_load_state("networkidle")
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else:
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print("Session valid")
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await page.screenshot(path=str(SCREENSHOTS_DIR / "01_dd_listing.png"), full_page=False)
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print("Screenshot: DD listing")
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# Get all DD form links from the listing
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form_infos = await page.evaluate("""() => {
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const results = [];
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document.querySelectorAll('a[title="Open form"]').forEach(a => {
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const href = a.getAttribute('href') || '';
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const m = href.match(/id=(\\d+)/);
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if (!m) return;
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const row = a.closest('tr');
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const dirLink = row ? row.querySelector('a[title="Open directory"]') : null;
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const patientCode = dirLink ? dirLink.innerText.trim() : '';
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const cells = row ? Array.from(row.querySelectorAll('td')).map(c => c.innerText.trim()) : [];
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results.push({ formId: m[1], patientCode, cells });
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});
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return results;
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}""")
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print(f"\nFound {len(form_infos)} Device Deficiency forms")
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for i, info in enumerate(form_infos[:5]):
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print(f" [{i}] form_id={info['formId']} patient={info['patientCode']} cells={info['cells']}")
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if not form_infos:
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print("NO DD FORMS FOUND!")
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# Save HTML for debugging
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html = await page.content()
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(SCREENSHOTS_DIR / "01_dd_listing.html").write_text(html, encoding="utf-8")
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await browser.close()
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return
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# Open the first DD form
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first = form_infos[0]
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form_url = f"{BASE_URL}?module=dossier&class=file&event=show&id={first['formId']}#fiche"
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print(f"\nOpening DD form: {form_url}")
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await page.goto(form_url)
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await page.wait_for_load_state("networkidle")
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await page.screenshot(path=str(SCREENSHOTS_DIR / "02_dd_form.png"), full_page=True)
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print("Screenshot: DD form")
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# Extract fields using the same pattern as AE (span.label + span.valeur)
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fields_label_value = await page.evaluate("""() => {
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const fields = [];
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document.querySelectorAll('.tableauFormulaire span.label').forEach(label => {
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const key = label.innerText.trim();
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const valEl = label.nextElementSibling;
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const value = valEl ? valEl.innerText.trim() : null;
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const valClass = valEl ? valEl.className : '';
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fields.push({ key, value, valueClass: valClass });
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});
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return fields;
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}""")
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print(f"\n=== Fields (span.label -> span.valeur) : {len(fields_label_value)} ===")
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for f in fields_label_value:
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print(f" {f['key']:40s} = {f['value']}")
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# Also explore table structure for any additional patterns
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table_structure = await page.evaluate("""() => {
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const sections = [];
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document.querySelectorAll('.tableauFormulaire').forEach((table, ti) => {
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const rows = [];
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table.querySelectorAll('tr').forEach((tr, ri) => {
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const cells = Array.from(tr.querySelectorAll('td, th')).map(c => ({
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tag: c.tagName,
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class: c.className,
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colspan: c.colSpan,
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text: c.innerText.trim().substring(0, 200),
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childSpans: Array.from(c.querySelectorAll('span')).map(s => ({
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class: s.className,
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text: s.innerText.trim().substring(0, 200)
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}))
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}));
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if (cells.length > 0) rows.push({ rowIndex: ri, cells });
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});
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sections.push({ tableIndex: ti, rowCount: rows.length, rows: rows.slice(0, 30) });
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});
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return sections;
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}""")
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print(f"\n=== Table structure: {len(table_structure)} tableauFormulaire blocks ===")
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for sec in table_structure:
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print(f"\n Table #{sec['tableIndex']} ({sec['rowCount']} rows):")
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for row in sec['rows'][:15]:
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for cell in row['cells']:
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spans_info = " | ".join(f"[{s['class']}]{s['text'][:60]}" for s in cell['childSpans'])
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print(f" row{row['rowIndex']} <{cell['tag']} class='{cell['class']}' colspan={cell['colspan']}> "
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f"{cell['text'][:80]}")
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if spans_info:
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print(f" spans: {spans_info}")
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# Save full form HTML
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html = await page.content()
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(SCREENSHOTS_DIR / "02_dd_form.html").write_text(html, encoding="utf-8")
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print("\nSaved: full DD form HTML")
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# Save extracted data as JSON for easy review
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result = {
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"form_id": first['formId'],
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"patient_code": first['patientCode'],
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"listing_cells": first['cells'],
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"fields": fields_label_value,
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"table_structure": table_structure,
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}
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(SCREENSHOTS_DIR / "dd_form_data.json").write_text(
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json.dumps(result, indent=2, ensure_ascii=False), encoding="utf-8"
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)
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print("Saved: dd_form_data.json")
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await browser.close()
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print("\nDone")
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if __name__ == "__main__":
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asyncio.run(main())
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