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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/image-url.jpg%20%22Optional%20title%22?q=fetch&page=2&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 8213 results for "fetch"(1318ms)

stevensDemoApp.tsx17 matches

@simonf•Updated 2 hours 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);

untitled-1615App.js5 matches

@mmabrouk•Updated 2 hours ago
82 const [sortConfig, setSortConfig] = useState({ key: "name", direction: "ascending" });
83
84 // Fetch and process data
85 useEffect(() => {
86 const fetchData = async () => {
87 setIsLoading(true);
88 setError(null);
89 try {
90 const response = await fetch(JSON_URL);
91 if (!response.ok) {
92 throw new Error(`HTTP error! status: ${response.status}`);
117 setModesList(["", ...uniqueModes]); // Add "All" option
118 } catch (e) {
119 console.error("Failed to fetch or process model data:", e);
120 setError(e.message);
121 } finally {
123 }
124 };
125 fetchData();
126 }, []);
127

OpenTownieuseProject.tsx5 matches

@charmaine•Updated 2 hours ago
11 const [error, setError] = useState(null);
12
13 const fetchData = async () => {
14 try {
15 const projectEndpoint = new URL(PROJECT_ENDPOINT, window.location.origin);
23 };
24
25 const { project } = await fetch(projectEndpoint, { headers })
26 .then(res => res.json());
27 const { files } = await fetch(filesEndpoint, { headers })
28 .then(res => res.json());
29
40 useEffect(() => {
41 if (!projectId) return;
42 fetchData();
43 }, [projectId, branchId]);
44
45 return { data, loading, error, refetch: fetchData };
46}
47

OpenTownieuseProjects.tsx5 matches

@charmaine•Updated 2 hours ago
10 const [error, setError] = useState(null);
11
12 const fetchData = async () => {
13 try {
14 const res = await fetch(ENDPOINT, {
15 headers: {
16 "Authorization": "Bearer " + token,
18 })
19 const data = await res.json();
20 console.log("useProjects fetchData", { res, data });
21 if (!res.ok) {
22 console.error(data);
39
40 useEffect(() => {
41 fetchData();
42 }, []);
43
44 return { data, loading, error, refetch: fetchData };
45}
46

OpenTownieuseCreateProject.tsx1 match

@charmaine•Updated 2 hours ago
19 setError(null);
20 try {
21 const res = await fetch(ENDPOINT, {
22 method: "POST",
23 headers: {

OpenTownieuseCreateBranch.tsx1 match

@charmaine•Updated 2 hours ago
16 setData(null);
17 setError(null);
18 const res = await fetch(ENDPOINT, {
19 method: "POST",
20 headers: {

OpenTownieuseBranches.tsx4 matches

@charmaine•Updated 2 hours ago
9 const [loading, setLoading] = useState(true);
10
11 const fetchData = async () => {
12 const endpoint = new URL(ENDPOINT, window.location.origin);
13 endpoint.searchParams.append("projectId", projectId);
14
15 const res = await fetch(endpoint, {
16 headers: {
17 "Authorization": "Bearer " + token,
24 useEffect(() => {
25 if (!projectId) return;
26 fetchData();
27 }, [projectId]);
28
29 return { data, loading, refetch: fetchData };
30}
31

OpenTownieuseAuth.tsx1 match

@charmaine•Updated 2 hours ago
15 // replace all this with oauth when it's ready
16 try {
17 const res = await fetch("/api/user", {
18 headers: {
19 "Authorization": "Bearer " + valTownAPIKey,

OpenTownietext-editor.ts1 match

@charmaine•Updated 2 hours ago
136 let type_: "file" | "http" | "script";
137 if (path.includes("backend/index.ts")) type_ = "http";
138 if (file_text?.includes("export default app.fetch")) type_ = "http";
139 if ([".ts", ".tsx", ".js", ".jsx"].some(ext => path.endsWith(ext))) {
140 type_ = "script";

OpenTowniesystem_prompt.txt3 matches

@charmaine•Updated 2 hours ago
233
234 // Inject data to avoid extra round-trips
235 const initialData = await fetchInitialData();
236 const dataScript = `<script>
237 window.__INITIAL_DATA__ = ${JSON.stringify(initialData)};
280
2815. **API Design:**
282 - `fetch` handler is the entry point for HTTP vals
283 - Run the Hono app with `export default app.fetch // This is the entry point for HTTP vals`

fetchPaginatedData2 file matches

@nbbaier•Updated 1 week ago

FetchBasic1 file match

@fredmoon•Updated 1 week ago