Harden production schema fallback and profile/dashboard UI
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@@ -118,7 +118,16 @@ export default function ProfilePage() {
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setProfileCvText(r.data?.profileCvText ?? "");
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try {
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const parsed = r.data?.profileCvStructureJson ? JSON.parse(r.data.profileCvStructureJson) : [];
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setParsedCvSections(Array.isArray(parsed) ? parsed : []);
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const normalized = Array.isArray(parsed)
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? parsed.map((section: any) => {
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const content = typeof section?.content === "string" ? section.content : "";
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const name = typeof section?.name === "string" && section.name.trim() ? section.name : t("profileCvSectionSummary");
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const computedWordCount = content.trim() ? content.trim().split(/\s+/).length : 0;
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const wordCount = Number.isFinite(Number(section?.wordCount)) ? Number(section.wordCount) : computedWordCount;
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return { name, content, wordCount };
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})
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: [];
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setParsedCvSections(normalized);
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} catch {
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setParsedCvSections([]);
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}
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@@ -363,7 +372,16 @@ export default function ProfilePage() {
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setParsingCvSections(true);
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try {
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const res = await api.post<{ sections?: ParsedCvSection[] }>("/profile-cv/parse", { text: profileCvText });
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setParsedCvSections(res.data?.sections ?? []);
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const normalized = Array.isArray(res.data?.sections)
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? res.data.sections.map((section: any) => {
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const content = typeof section?.content === "string" ? section.content : "";
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const name = typeof section?.name === "string" && section.name.trim() ? section.name : t("profileCvSectionSummary");
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const computedWordCount = content.trim() ? content.trim().split(/\s+/).length : 0;
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const wordCount = Number.isFinite(Number(section?.wordCount)) ? Number(section.wordCount) : computedWordCount;
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return { name, content, wordCount };
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})
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: [];
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setParsedCvSections(normalized);
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toast(t("profileCvStructureParsed"), "success");
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} catch (e: any) {
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toast(String(e?.response?.data || e?.message || t("profileCvStructureParseFailed")), "error");
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@@ -377,15 +395,18 @@ export default function ProfilePage() {
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</Box>
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{parsedCvSections.length > 0 ? (
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<Box sx={{ display: "grid", gridTemplateColumns: { xs: "1fr", md: "1fr 1fr" }, gap: 1.5 }}>
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{parsedCvSections.map((section) => (
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{parsedCvSections.map((section) => {
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const safeContent = typeof section.content === "string" ? section.content : "";
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const safeWordCount = Number.isFinite(Number(section.wordCount)) ? Number(section.wordCount) : (safeContent.trim() ? safeContent.trim().split(/\s+/).length : 0);
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return (
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<Box key={section.name} sx={{ p: 1.25, borderRadius: 2.5, border: "1px solid", borderColor: "divider", backgroundColor: "background.default" }}>
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<Box sx={{ display: "flex", justifyContent: "space-between", gap: 1, alignItems: "center", mb: 0.75 }}>
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<Typography variant="overline">{section.name}</Typography>
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<Chip size="small" label={t("profileCvSectionWordCount", { count: section.wordCount })} />
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<Chip size="small" label={t("profileCvSectionWordCount", { count: safeWordCount })} />
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</Box>
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<Typography variant="body2" sx={{ color: "text.secondary", whiteSpace: "pre-wrap" }}>{section.content.slice(0, 280)}{section.content.length > 280 ? "…" : ""}</Typography>
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<Typography variant="body2" sx={{ color: "text.secondary", whiteSpace: "pre-wrap" }}>{safeContent.slice(0, 280)}{safeContent.length > 280 ? "…" : ""}</Typography>
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</Box>
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))}
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)})}
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</Box>
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) : (
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<Typography variant="body2" sx={{ color: "text.secondary" }}>{t("profileCvStructureEmpty")}</Typography>
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