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API Access

You can access search results via JSON API by adding format=json to your query:

https://codesearch.val.run/?q=fetch&page=32&format=json

For typeahead suggestions, use the /typeahead endpoint:

https://codesearch.val.run/typeahead?q=fetch

Returns an array of strings in format "username" or "username/projectName"

Found 2449 results for "fetch"(488ms)

cerebras_coderindex.ts1 match

@joseio•Updated 1 week ago
181
182 try {
183 const response = await fetch("/", {
184 method: "POST",
185 body: JSON.stringify({

stevensDemosendDailyBrief.ts1 match

@Tholapz•Updated 1 week ago
135 const lastSunday = today.startOf("week").minus({ days: 1 });
136
137 // Fetch relevant memories using the utility function
138 const memories = await getRelevantMemories();
139

stevensDemoNotebookView.tsx12 matches

@Tholapz•Updated 1 week ago
67 const [currentPage, setCurrentPage] = useState(1);
68
69 const fetchMemories = useCallback(async () => {
70 setLoading(true);
71 setError(null);
72 try {
73 const response = await fetch(API_BASE);
74 if (!response.ok) {
75 throw new Error(`HTTP error! status: ${response.status}`);
78 setMemories(data);
79 } catch (e) {
80 console.error("Failed to fetch memories:", e);
81 setError(e.message || "Failed to fetch memories.");
82 } finally {
83 setLoading(false);
86
87 useEffect(() => {
88 fetchMemories();
89 }, [fetchMemories]);
90
91 const handleAddMemory = async (e: React.FormEvent) => {
100
101 try {
102 const response = await fetch(API_BASE, {
103 method: "POST",
104 headers: { "Content-Type": "application/json" },
112 setNewMemoryTags("");
113 setShowAddForm(false);
114 await fetchMemories();
115 } catch (e) {
116 console.error("Failed to add memory:", e);
123
124 try {
125 const response = await fetch(`${API_BASE}/${id}`, {
126 method: "DELETE",
127 });
129 throw new Error(`HTTP error! status: ${response.status}`);
130 }
131 await fetchMemories();
132 } catch (e) {
133 console.error("Failed to delete memory:", e);
155
156 try {
157 const response = await fetch(`${API_BASE}/${editingMemory.id}`, {
158 method: "PUT",
159 headers: { "Content-Type": "application/json" },
164 }
165 setEditingMemory(null);
166 await fetchMemories();
167 } catch (e) {
168 console.error("Failed to update memory:", e);

stevensDemoindex.ts2 matches

@Tholapz•Updated 1 week ago
135 ));
136
137// HTTP vals expect an exported "fetch handler"
138export default app.fetch;

stevensDemo.cursorrules5 matches

@Tholapz•Updated 1 week ago
163```
164
1655. **fetchTranspiledJavaScript** - Fetch and transpile TypeScript to JavaScript:
166```ts
167const jsCode = await fetchTranspiledJavaScript("https://esm.town/v/username/project/path/to/file.ts");
168```
169
242
243 // Inject data to avoid extra round-trips
244 const initialData = await fetchInitialData();
245 const dataScript = `<script>
246 window.__INITIAL_DATA__ = ${JSON.stringify(initialData)};
300
3015. **API Design:**
302 - `fetch` handler is the entry point for HTTP vals
303 - Run the Hono app with `export default app.fetch // This is the entry point for HTTP vals`
304 - Properly handle CORS if needed for external access

stevensDemoApp.tsx17 matches

@Tholapz•Updated 1 week ago
82 const [cookieAndTeaMode, setCookieAndTeaMode] = useState(false);
83
84 // Fetch images from backend instead of blob storage directly
85 useEffect(() => {
86 // Set default background color in case image doesn't load
89 }
90
91 // Fetch avatar image
92 fetch("/api/images/stevens.jpg")
93 .then((response) => {
94 if (response.ok) return response.blob();
103 });
104
105 // Fetch wood background
106 fetch("/api/images/wood.jpg")
107 .then((response) => {
108 if (response.ok) return response.blob();
129 }, []);
130
131 const fetchMemories = useCallback(async () => {
132 setLoading(true);
133 setError(null);
134 try {
135 const response = await fetch(API_BASE);
136 if (!response.ok) {
137 throw new Error(`HTTP error! status: ${response.status}`);
154 }
155 } catch (e) {
156 console.error("Failed to fetch memories:", e);
157 setError(e.message || "Failed to fetch memories.");
158 } finally {
159 setLoading(false);
162
163 useEffect(() => {
164 fetchMemories();
165 }, [fetchMemories]);
166
167 const handleAddMemory = async (e: React.FormEvent) => {
176
177 try {
178 const response = await fetch(API_BASE, {
179 method: "POST",
180 headers: { "Content-Type": "application/json" },
188 setNewMemoryTags("");
189 setShowAddForm(false);
190 await fetchMemories();
191 } catch (e) {
192 console.error("Failed to add memory:", e);
199
200 try {
201 const response = await fetch(`${API_BASE}/${id}`, {
202 method: "DELETE",
203 });
205 throw new Error(`HTTP error! status: ${response.status}`);
206 }
207 await fetchMemories();
208 } catch (e) {
209 console.error("Failed to delete memory:", e);
231
232 try {
233 const response = await fetch(`${API_BASE}/${editingMemory.id}`, {
234 method: "PUT",
235 headers: { "Content-Type": "application/json" },
240 }
241 setEditingMemory(null);
242 await fetchMemories();
243 } catch (e) {
244 console.error("Failed to update memory:", e);

cerebras_coderindex.ts1 match

@Albijon•Updated 1 week ago
181
182 try {
183 const response = await fetch("/", {
184 method: "POST",
185 body: JSON.stringify({

jessiesdataindex.ts6 matches

@neverstew•Updated 1 week ago
1// CSV Data Visualization
2// This Val fetches CSV data from a specified URL and renders it as a graph
3
4export default async function(req: Request) {
5 // URL to fetch CSV data from
6 const dataUrl = "http://www1.policysupport.org/cgi-bin/ecoengine/fsl.cgi?action=Data2Dash&Query=SendAllData&FilterDates=1Y&format=CSV&FilterVars=P2&FID=L585&year=2024&AutoRange=True&StartDate=1706745600.0&EndDate=1709251199.0";
7
8 try {
9 // Fetch the CSV data
10 const response = await fetch(dataUrl);
11
12 if (!response.ok) {
13 throw new Error(`Failed to fetch data: ${response.status} ${response.statusText}`);
14 }
15
30 } catch (error) {
31 console.error("Error:", error);
32 return new Response(`Error fetching or processing data: ${error.message}`, {
33 status: 500,
34 headers: {

calpicsindex.ts1 match

@yawnxyz•Updated 1 week ago
95
96// Export the app
97export default app.fetch;

calpicsvision.ts1 match

@yawnxyz•Updated 1 week ago
27 : `data:image/jpeg;base64,${base64Image}`;
28
29 const response = await fetch("https://api.groq.com/openai/v1/chat/completions", {
30 method: "POST",
31 headers: {

fetchPaginatedData2 file matches

@nbbaier•Updated 5 days ago

tweetFetcher2 file matches

@nbbaier•Updated 1 week ago