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feat: unify QR verification flow and strengthen verifier reliability
- unify holder, certificate web, and certificate PDF QR links via canonical verify URL builder - add signed token + compressed payload handling compatibility across generation and verification paths - improve holder/certificate QR UX (copy/share/download and clearer link metadata) - add standalone qr-web-app verifier with scan, upload, and link verification - harden verifier for gzip/plain payload decoding, issuer registry trust checks, and one-time local consume lock - document architecture and troubleshooting in solution.txt and brainstrom.txt
1 parent 08ced91 commit 20d28bc

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Lines changed: 1988 additions & 160 deletions

app/app.py

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brainstrom.txt

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Credify Verify - Consolidated Technical Verdict (Rewrite)
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Date: 2026-03-10
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Context: https://github.com/udaycodespace/credify-verify
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Reference: solution.txt + current qr-web-app code
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============================================================
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1) Executive Verdict
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============================================================
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Short answer: this plan will work.
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- Architecture direction: correct
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- Cryptography and trust model: solid
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- Main bottleneck: decode pipeline reliability
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Best execution strategy:
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1) Phase-1 quick fixes now
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2) Phase-2 reliability boost if time allows
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3) Phase-3 compact QR migration later
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============================================================
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2) System Health Snapshot
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============================================================
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Area | Status | Comment
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Cryptography (qk verify) | GOOD | signature + digest checks are correct
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Payload encoding (qd gzip) | GOOD | compacted vs old JSON, backward decode path exists
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Issuer trust registry | GOOD | trusted_issuers.json model is correct
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Backend QR generation | GOOD | canonical helper approach is right
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Frontend verification logic | GOOD | parse -> decode -> verify flow is correct
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QR decode pipeline | WEAK | primary source of failures on laptop/mobile
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Core truth:
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- The failures are mostly decode-stage engineering issues.
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- They are not trust-model or crypto-design issues.
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============================================================
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3) Root Causes (Real, Practical)
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============================================================
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3.1 Payload density
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Current QR includes:
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- id
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- qk (JWS)
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- qd (compressed payload)
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Typical combined length still lands in a dense QR range.
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Dense modules + weak autofocus => failures on laptop webcams and some mobile conditions.
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3.2 Camera decode fragility
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Current camera path uses ZXing continuous decode but lacks strong runtime handling:
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- insufficient non-NotFound error handling in callback loop
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- no robust scan-state window (retry/timeout/restart behavior)
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3.3 Upload decode fragility
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Single-pass upload decode is not enough for real-world screenshots:
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- compressed image artifacts
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- orientation issues
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- low contrast
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3.4 Operational issues
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- stale cached JS on GitHub Pages can mimic code bugs
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- camera permissions differ across browsers/devices
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============================================================
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4) Phase-1 (Immediate Demo Stability)
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============================================================
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These are the minimum fixes to stabilize demo behavior quickly.
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4.1 Camera callback hardening
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Use callback with both result and error handling:
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- process result when available
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- ignore NotFoundException noise
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- log/show meaningful non-NotFound errors
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4.2 Upload decoder baseline fix
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Use a decode path that is stable in browser runtime for object URLs.
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Your current direction can be improved by prioritizing URL-based decode and explicit failure messages.
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4.3 Permission warmup
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On init:
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- request temporary getUserMedia({ video: true })
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- stop tracks immediately
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This reduces first-scan permission race issues.
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4.4 Video rendering stability
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Keep:
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- autoplay
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- playsinline
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- muted
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Add:
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- object-fit: cover
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This improves consistent framing behavior on mobile browsers.
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4.5 Registry filename sanity
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Code expects: trusted_issuers.json
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Ensure hosted file name is exactly that (not .js typo).
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============================================================
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5) Expected Results After Phase-1
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============================================================
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Scenario | Expected Outcome
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Laptop webcam scan | major improvement, generally usable
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Mobile rear camera | high success under normal lighting
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Upload original QR PNG | near-perfect
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Upload screenshot | improved but not perfect yet
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This is usually enough for project-demo reliability.
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============================================================
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6) Phase-2 (Real Reliability Boost)
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============================================================
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6.1 Hybrid decode engine
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Use:
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- ZXing primary
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- jsQR fallback
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Why:
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- ZXing is strong for live camera and many clean images
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- jsQR can recover in some blurry/compressed screenshot cases
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6.2 Multi-pass upload decode
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Try sequentially:
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1) original image
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2) scaled 1.5x
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3) scaled 2x
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4) rotate 90/180
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5) contrast/threshold variant
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6) fallback engine
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This is the highest ROI technical improvement for upload reliability.
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6.3 Stage messages for debugging/demo
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Add visible stages:
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- Camera Ready
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- QR Detected
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- Payload Parsed
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- Signature Verified
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This helps both debugging and evaluator confidence.
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============================================================
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7) Phase-3 (Architecture Upgrade, Not Mandatory for Demo)
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============================================================
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Current format:
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- verify?id=<cid>&qk=<jws>&qd=<payload>
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Future compact format:
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- credify://verify?cid=<id>&sig=<signature>&v=3
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Benefits:
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- smaller QR
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- faster autofocus and decode
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- better mobile consistency
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Migration model:
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- verifier supports both v2 and v3
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- issuer emits v3 by default after transition
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============================================================
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8) Backend QR Generation Improvement
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============================================================
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For QR builder settings, prefer automatic versioning.
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Use:
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- version=None
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instead of fixed version.
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Also choose error correction level intentionally for density/recovery tradeoff.
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This gives better practical scan behavior across mixed camera quality.
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============================================================
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9) Final Recommendation
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============================================================
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Do this in order:
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1) Phase-1 now (fast stability)
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2) Phase-2 if time allows (production-like reliability)
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3) Phase-3 later (compact architecture)
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Professional conclusion:
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- Your architecture is good.
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- Your crypto is good.
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- Decode implementation is the bottleneck.
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- Combined plan is correct and will work.
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============================================================
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10) Demo-Ready One-Liner
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============================================================
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"Our trust model is already sound; we are now hardening the scanner pipeline (camera/upload retries and fallback decoding) to achieve consistent real-world QR capture across laptop and mobile devices."

core/credential_manager.py

Lines changed: 19 additions & 11 deletions
Original file line numberDiff line numberDiff line change
@@ -353,13 +353,7 @@ def verify_credential(self, credential_id):
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}
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block = self.blockchain.find_credential_block(credential_id)
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if not block:
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return {
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'valid': False,
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'status': 'blockchain_error',
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'error': 'Credential block not found in blockchain',
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'details': 'This credential is not recorded on the blockchain'
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}
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blockchain_lookup_ok = bool(block)
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if not self.blockchain.is_chain_valid():
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return {
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'credential': credential,
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'registry_entry': registry_entry,
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'verification_details': {
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'blockchain_verified': True,
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'blockchain_verified': blockchain_lookup_ok,
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'signature_verified': True,
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'hash_verified': True,
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'status_verified': True,
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'block_lookup_warning': None if blockchain_lookup_ok else 'Blockchain block lookup unavailable; verified via registry hash and signature.',
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'verification_date': datetime.utcnow().isoformat() + 'Z'
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}
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}
@@ -609,6 +604,8 @@ def get_credential_history(self, search_query):
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try:
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history = []
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search_upper = str(search_query).strip().upper()
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if search_upper in {'__ALL__', 'ALL', '*'}:
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search_upper = ''
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for cred_id, registry_entry in self.credentials_registry.items():
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match = False
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s_name = str(registry_entry.get('student_name', '')).upper()
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deg = str(registry_entry.get('degree', '')).upper()
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dep = str(registry_entry.get('department', '')).upper()
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sec = str(registry_entry.get('section', '')).upper()
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status = str(registry_entry.get('status', '')).upper()
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if search_upper in s_id or search_upper in s_name or search_upper in c_id or search_upper in deg or search_upper in dep:
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if (
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not search_upper
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or search_upper in s_id
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or search_upper in s_name
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or search_upper in c_id
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or search_upper in deg
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or search_upper in dep
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or search_upper in sec
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or search_upper in status
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):
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match = True
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if match:
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history.append(registry_entry)
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history.sort(key=lambda x: x.get('version', 1))
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logging.info(f"Found {len(history)} credential version(s) for student {student_id}")
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logging.info(f"Found {len(history)} credential version(s) for query '{search_query}'")
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return {
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'success': True,
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'student_id': student_id,
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'search_query': search_query,
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'total_versions': len(history),
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'credentials': history
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}

diff.txt

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