Professional office Azure Functions consultation form review
Azure Functions form review for privacy, secrets, failures, and booking paths.
Professional services office छोटी automation से भरोसा खो सकता है: consultation form inheritance, labor, contract या subsidy details email में भेजता है, पूरा text log करता है, और failure चुपचाप छूट जाता है। यह लेख production से पहले Claude Code से Azure Functions review कराता है।
Key Points
Review form से शुरू होता है: personal data, consent, confidential text, mail failure, duplicate submit और booking path। HTTP trigger काम आता है, पर anonymous, raw logs और plain secrets risk हैं।
Workflow From Form to Booking
Flow form से booking या callback तक जाता है। Claude Code function.json, app settings, logs, Key Vault references और failure handling देखता है। Staff तय करते हैं कौन सी consultation meeting बन सकती है।
| Flow | Azure Functions review | Human review |
|---|---|---|
| Form receive | HTTP trigger, method, auth, CORS | consent text and accepted case types |
| Notice | masked subject, request id, mail failure | confidential content and staff owner |
| Secret | app settings, Key Vault references | mail API key and access policy |
| Failure | retry record, alert, request id | callback and client communication |
| Booking | completion page and booking URL | whether the case can be booked |
What Claude Code Does and What Humans Decide
Claude Code drafts the Function shape, validation fields, logging policy, Key Vault note, failure checklist, and booking path. Humans decide legal, tax, labor, license, privacy, advertising, confidentiality, and whether to accept the consultation.
3 Use Cases
Use case 1: Split form fields and logs
- Input: form fields, case types, privacy consent, booking URL.
- Output: required fields, optional fields, mail fields, no-log fields.
- Human review: consultation text, personal data, advertising wording, urgent cases.
Use case 2: Review HTTP trigger settings
- Input: function.json, methods, authLevel, App Service auth note, form origin.
- Output: POST-only rule, CORS note, auth warning, and test commands.
- Human review: public exposure, bot protection, stopped services, and phone-first cases.
Use case 3: Handle mail failure and booking path
- Input: mail provider, failure log, retry owner, booking URL, completion page.
- Output: failed notice record, retry rule, staff alert, and booking button rule.
- Human review: which cases can book automatically and which need a call.
Copy-Paste Prompt
Act as a Hindi professional services Azure Functions consultation-form reviewer.
Goal: prevent missed notices, personal-data logs, plain secrets, and missing booking paths.
Review:
- form fields and case types
- privacy consent
- function.json
- app settings draft
- mail provider note
- completion page and booking URL
Return:
1. HTTP trigger method and auth review
2. raw-body log warning
3. secret and Key Vault reference note
4. failed-notice retry checklist
5. booking path and staff owner
6. five settings a beginner should inspect today
Working Check Code
// verify-azure-function-consultation-form.mjs
// No dependencies. Run with: node verify-azure-function-consultation-form.mjs
const functionJson = {
bindings: [
{
authLevel: "anonymous",
type: "httpTrigger",
direction: "in",
name: "req",
methods: ["post"]
},
{
type: "http",
direction: "out",
name: "res"
}
]
};
const source = [
"module.exports = async function (context, req) {",
" console.log(req.body);",
" const apiKey = 'SENDGRID_API_KEY_plain_text';",
" await sendMail(req.body.email, req.body.message, apiKey);",
" context.res = { status: 200, body: 'ok' };",
"};"
].join("\n");
const formPolicy = {
fields: ["name", "email", "caseType", "message"],
required: ["name", "email", "caseType", "message", "privacyConsent"],
hasIdempotencyKey: false,
hasRetryQueue: false,
hasReservationLink: false
};
const problems = [];
const trigger = functionJson.bindings.find((binding) => binding.type === "httpTrigger");
if (!trigger || trigger.authLevel === "anonymous") {
problems.push({ item: "authLevel", fix: "avoid anonymous public posting unless another protection layer exists" });
}
if (/console\.log\(req\.body\)/.test(source)) {
problems.push({ item: "raw body log", fix: "log request id and case type, not the consultation details" });
}
if (/SENDGRID_API_KEY|API_KEY_plain_text/.test(source)) {
problems.push({ item: "plain secret", fix: "use Key Vault references or approved app settings" });
}
if (!formPolicy.required.includes("privacyConsent")) {
problems.push({ item: "privacy consent", fix: "require consent before sending the consultation form" });
}
if (!formPolicy.hasIdempotencyKey) {
problems.push({ item: "duplicate submit", fix: "store an idempotency key from email, timestamp bucket, and message hash" });
}
if (!formPolicy.hasRetryQueue) {
problems.push({ item: "mail failure", fix: "record failed notices and retry or alert a staff member" });
}
if (!formPolicy.hasReservationLink) {
problems.push({ item: "booking path", fix: "include a reservation or callback path after the notice" });
}
if (problems.length > 0) {
console.table(problems);
process.exitCode = 1;
} else {
console.log("Azure Functions consultation form checklist passed.");
}
Pitfall: Common Failure Cases
गलती है सिर्फ test email आना देखना। असली सवाल है कि हर consultation record, protect और route हुई या नहीं।
The first failure is calling the project done when email arrives once. A professional office needs traceability for missed notices, duplicate submissions, and booking handoff.
The second failure is logging the whole consultation text. Store request id, case type, time, and result instead.
The third failure is using a plain API key in source code or notes. Move secrets to an approved settings flow and consider Key Vault references.
FAQ
Q. क्या पूरा consultation text email में होना चाहिए?\n\nA. Office policy पर निर्भर है। mail forwarding ज्यादा है तो masked email और safer system बेहतर है।
Q. Are Azure Functions too much for a small office?
A. Sometimes. If a form service already handles consent, notice, and booking, use it. Functions help when the office needs custom routing, retry records, and integration with booking or internal tools.
Q. Is a Function key enough?
A. It depends on exposure. Public forms may need bot protection, CORS review, rate limits, App Service authentication, or another gateway.
Q. Where should teams go next?
A. Offices that need forms, Azure Functions, Key Vault, logging policy, and booking flow reviewed together can start from ClaudeCodeLab training.
What I Verified
Hindi version में consultation form, privacy, missed notices, booking और training CTA रखा गया। I checked Azure Functions HTTP trigger, triggers and bindings, Key Vault references, App Service authentication, and Azure Functions security. I also checked the CTA, internal link, executable JavaScript, and locale coverage.
संबंधित लेख
वकील के ऑफ़िस में सलाह-नोट्स की सफ़ाई और ड्राफ़्ट तैयारी Claude Code से तेज़ करें
वकील के ऑफ़िस में सलाह-नोट्स की सफ़ाई और ड्राफ़्ट को AI से तेज़ करने का तरीक़ा। प्रॉम्प्ट, जाँच-स्क्रिप्ट और निजी जानकारी की सावधानियाँ।
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मुफ़्त PDF: Claude Code cheatsheet
Email डालें और commands, review habits तथा safe workflow वाली एक-page PDF पाएँ.
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लेखक के बारे में
Masa
Claude Code workflow और team adoption पर काम करने वाला engineer.