vineelagampa commited on
Commit
a407989
·
verified ·
1 Parent(s): 8fef58a

update analyzer.html with working code

Browse files
Files changed (1) hide show
  1. web/analyzer.html +14 -20
web/analyzer.html CHANGED
@@ -189,8 +189,7 @@
189
  </li>
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  </ul>
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  </nav>
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- <!--Shared helpers (API base + query params) -->
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- <script src="script.js"></script>
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  <script>
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  const hamburger = document.getElementById("hamburger");
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  const mobileMenu = document.getElementById("mobile-menu");
@@ -231,11 +230,11 @@
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  accept=".pdf, image/*"
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  class="w-full mb-4 rounded px-3 py-2"
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  />
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- <!-- <input
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  type="date"
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  id="report-date"
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  class="w-full mb-4 rounded px-3 py-2"
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- /> -->
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  <button id="analyze-btn" class="btn-primary px-4 py-2 rounded">
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  Analyze with AI
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  </button>
@@ -451,15 +450,15 @@
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  .getElementById("analyze-btn")
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  .addEventListener("click", async () => {
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  const file = document.getElementById("pdf-upload").files[0];
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- //const date = document.getElementById("report-date").value;
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  if (!file) {
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  loadingEl.textContent = "Please upload a file first.";
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  return;
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  }
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- /*if (!date) {
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  loadingEl.textContent = "Please select the report date.";
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  return;
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- }*/
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  loadingEl.textContent = "Processing with AI...";
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  textOutput.textContent = "";
@@ -471,7 +470,7 @@
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  let data;
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  try {
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- const res = await fetch(api("analyze/"), {
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  method: "POST",
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  body: formData,
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  });
@@ -508,21 +507,16 @@
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  findingsOutput.innerHTML = findings
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  .map((finding, i) => renderRecCard(finding, i))
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  .join("");
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- }
 
 
 
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  if (currentUser) {
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- /*await saveAnalysis(currentUser.uid, {
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  reportDate: date,
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  ocr_text: extractedText,
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- anomalies: recs,
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  measurements: findings,
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- });*/
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-
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- await postReportToBackend({
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- user_id: currentUser.email,
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- report_date: new Date(),
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- ocr_text: extractedText,
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- anomalies: JSON.stringify(recs),
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- measurements: JSON.stringify(findings),
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  });
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  }
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@@ -531,7 +525,7 @@
531
 
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  async function postReportToBackend(report) {
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  try {
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- const response = await fetch(api('save_report/'), {
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  method: 'POST',
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  headers: {
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  'Content-Type': 'application/json',
 
189
  </li>
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  </ul>
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  </nav>
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+
 
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  <script>
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  const hamburger = document.getElementById("hamburger");
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  const mobileMenu = document.getElementById("mobile-menu");
 
230
  accept=".pdf, image/*"
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  class="w-full mb-4 rounded px-3 py-2"
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  />
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+ <input
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  type="date"
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  id="report-date"
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  class="w-full mb-4 rounded px-3 py-2"
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+ />
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  <button id="analyze-btn" class="btn-primary px-4 py-2 rounded">
239
  Analyze with AI
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  </button>
 
450
  .getElementById("analyze-btn")
451
  .addEventListener("click", async () => {
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  const file = document.getElementById("pdf-upload").files[0];
453
+ const date = document.getElementById("report-date").value;
454
  if (!file) {
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  loadingEl.textContent = "Please upload a file first.";
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  return;
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  }
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+ if (!date) {
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  loadingEl.textContent = "Please select the report date.";
460
  return;
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+ }
462
 
463
  loadingEl.textContent = "Processing with AI...";
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  textOutput.textContent = "";
 
470
 
471
  let data;
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  try {
473
+ const res = await fetch("http://localhost:9000/analyze/", {
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  method: "POST",
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  body: formData,
476
  });
 
507
  findingsOutput.innerHTML = findings
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  .map((finding, i) => renderRecCard(finding, i))
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  .join("");
510
+ } else {
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+ findingsOutput.textContent = "No measurements found.";
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+ }
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+
514
  if (currentUser) {
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+ await saveAnalysis(currentUser.uid, {
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  reportDate: date,
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  ocr_text: extractedText,
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+ resolutions: recs,
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  measurements: findings,
 
 
 
 
 
 
 
 
520
  });
521
  }
522
 
 
525
 
526
  async function postReportToBackend(report) {
527
  try {
528
+ const response = await fetch('http://localhost:9000/save_report/', {
529
  method: 'POST',
530
  headers: {
531
  'Content-Type': 'application/json',