AmirReza Jamali
50e4f43738
Implement company AI onboarding/recommendation models, services, repository, and tender UI integration with supporting tests. Co-authored-by: Cursor <cursoragent@cursor.com>
22 lines
1022 B
Dart
22 lines
1022 B
Dart
/// Keys used for values persisted in [SharedPreferences].
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///
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/// Centralised here so the auth flow, the network layer and the router all
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/// agree on the same key. Renaming a key in one place would otherwise silently
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/// diverge from the others (e.g. the interceptor's defensive logout fallback).
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class PrefKeys {
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PrefKeys._();
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static const String bearer = 'bearer';
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static const String refreshToken = 'refresh_token';
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static const String customerData = 'customer_data';
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/// Fingerprint (hash of the company's document ids + website) of the last
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/// profile version we triggered AI onboarding for. Lets us skip redundant
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/// `POST /api/v1/onboarding` calls until the company's data actually changes.
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static const String onboardingFingerprint = 'ai_onboarding_fingerprint';
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/// Epoch milliseconds when AI onboarding was last started. Used by the
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/// Recommended tab to show a "still learning" hint for a short grace period.
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static const String onboardingStartedAt = 'ai_onboarding_started_at';
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}
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